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, freeze_bn=False, hard_weight=0.5, hashtag='', input_5d=False, input_size=112, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='r2plus1d_res34_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_run1.log', lr=0.1, lr_decay=0.1, lr_decay_epoch='40,60', lr_decay_period=0, lr_mode='cosine', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='r2plus1d_resnet34_kinetics400', momentum=0.9, new_height=128, new_length=16, new_step=2, new_width=171, 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/r2plus1d/r2plus1d_res34_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_run1', save_frequency=10, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=False, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=34, warmup_lr=0.001, wd=0.0001) Total batch size is set to 64 on 8 GPUs R2Plus1D( (conv1): Conv3D(3 -> 45, kernel_size=(1, 7, 7), stride=(1, 2, 2), padding=(0, 3, 3), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=45) (relu): Activation(relu) (conv2): Conv3D(45 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (layer1): HybridSequential( (0): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) (2): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) ) (layer2): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(64 -> 128, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 230, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=230) (relu): Activation(relu) (conv2): Conv3D(230 -> 128, kernel_size=(3, 1, 1), stride=(2, 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=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 230, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=230) (relu): Activation(relu) (conv2): Conv3D(230 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, 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=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (2): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, 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=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (3): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, 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=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) ) (layer3): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(128 -> 256, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 460, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=460) (relu): Activation(relu) (conv2): Conv3D(460 -> 256, kernel_size=(3, 1, 1), stride=(2, 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 460, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=460) (relu): Activation(relu) (conv2): Conv3D(460 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (2): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (3): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (4): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (5): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) ) (layer4): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(256 -> 512, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 921, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=921) (relu): Activation(relu) (conv2): Conv3D(921 -> 512, kernel_size=(3, 1, 1), stride=(2, 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 921, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=921) (relu): Activation(relu) (conv2): Conv3D(921 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (2): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 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) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) ) (avgpool): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (dropout): Dropout(p = 0.5, axes=()) (fc): Dense(512 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. 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samples/sec accuracy=0.801772 loss=5.785903 lr=0.003595 Epoch[000] Batch [3399]/[3759] Speed: 114.856887 samples/sec accuracy=0.808824 loss=5.782987 lr=0.003634 Epoch[000] Batch [3449]/[3759] Speed: 115.661315 samples/sec accuracy=0.821558 loss=5.780110 lr=0.003672 Epoch[000] Batch [3499]/[3759] Speed: 115.669687 samples/sec accuracy=0.832143 loss=5.777544 lr=0.003711 Epoch[000] Batch [3549]/[3759] Speed: 116.463117 samples/sec accuracy=0.842870 loss=5.775103 lr=0.003750 Epoch[000] Batch [3599]/[3759] Speed: 116.692473 samples/sec accuracy=0.853733 loss=5.772497 lr=0.003789 Epoch[000] Batch [3649]/[3759] Speed: 116.656257 samples/sec accuracy=0.866010 loss=5.769668 lr=0.003827 Epoch[000] Batch [3699]/[3759] Speed: 116.022408 samples/sec accuracy=0.874155 loss=5.767232 lr=0.003866 Epoch[000] Batch [3749]/[3759] Speed: 120.862598 samples/sec accuracy=0.885000 loss=5.764900 lr=0.003905 Batch [0049]/[0303]: acc-top1=0.968750 acc-top5=4.312500 Batch [0099]/[0303]: acc-top1=1.187500 acc-top5=4.609375 Batch [0149]/[0303]: acc-top1=1.468750 acc-top5=5.906250 Batch [0199]/[0303]: acc-top1=1.320312 acc-top5=6.039062 Batch [0249]/[0303]: acc-top1=1.531250 acc-top5=6.268750 Batch [0299]/[0303]: acc-top1=1.395833 acc-top5=5.812500 [Epoch 000] training: accuracy=0.888700 loss=5.764405 [Epoch 000] speed: 115 samples/sec time cost: 2210.315872 [Epoch 000] validation: acc-top1=1.382013 acc-top5=5.760107 loss=5.676277 Epoch[001] Batch [0049]/[3760] Speed: 86.712388 samples/sec accuracy=2.062500 loss=5.562659 lr=0.003951 Epoch[001] Batch [0099]/[3760] Speed: 117.275511 samples/sec accuracy=1.765625 loss=5.559884 lr=0.003989 Epoch[001] Batch [0149]/[3760] Speed: 117.528748 samples/sec accuracy=1.687500 loss=5.555867 lr=0.004028 Epoch[001] Batch [0199]/[3760] Speed: 117.964276 samples/sec accuracy=1.648438 loss=5.556314 lr=0.004067 Epoch[001] Batch [0249]/[3760] Speed: 117.402467 samples/sec accuracy=1.662500 loss=5.551628 lr=0.004105 Epoch[001] Batch [0299]/[3760] Speed: 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lr=0.006700 Epoch[001] Batch [3649]/[3760] Speed: 117.380906 samples/sec accuracy=2.690925 loss=5.381587 lr=0.006739 Epoch[001] Batch [3699]/[3760] Speed: 116.916445 samples/sec accuracy=2.708615 loss=5.378907 lr=0.006778 Epoch[001] Batch [3749]/[3760] Speed: 120.366684 samples/sec accuracy=2.722500 loss=5.376446 lr=0.006817 Batch [0049]/[0303]: acc-top1=0.937500 acc-top5=6.562500 Batch [0099]/[0303]: acc-top1=1.796875 acc-top5=8.203125 Batch [0149]/[0303]: acc-top1=2.593750 acc-top5=10.687500 Batch [0199]/[0303]: acc-top1=3.054688 acc-top5=11.171875 Batch [0249]/[0303]: acc-top1=3.456250 acc-top5=11.962500 Batch [0299]/[0303]: acc-top1=3.390625 acc-top5=11.958333 [Epoch 001] training: accuracy=2.724402 loss=5.376211 [Epoch 001] speed: 116 samples/sec time cost: 2182.038572 [Epoch 001] validation: acc-top1=3.403465 acc-top5=11.984323 loss=5.320988 Epoch[002] Batch [0049]/[3759] Speed: 86.044882 samples/sec accuracy=4.156250 loss=5.200511 lr=0.006863 Epoch[002] Batch [0099]/[3759] 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accuracy=4.501042 loss=5.141572 lr=0.007986 Epoch[002] Batch [1549]/[3759] Speed: 117.165577 samples/sec accuracy=4.482863 loss=5.139376 lr=0.008025 Epoch[002] Batch [1599]/[3759] Speed: 116.579114 samples/sec accuracy=4.507812 loss=5.136895 lr=0.008064 Epoch[002] Batch [1649]/[3759] Speed: 116.100225 samples/sec accuracy=4.526515 loss=5.134935 lr=0.008102 Epoch[002] Batch [1699]/[3759] Speed: 115.879867 samples/sec accuracy=4.522059 loss=5.133019 lr=0.008141 Epoch[002] Batch [1749]/[3759] Speed: 117.204112 samples/sec accuracy=4.530357 loss=5.131719 lr=0.008180 Epoch[002] Batch [1799]/[3759] Speed: 116.596002 samples/sec accuracy=4.531250 loss=5.130160 lr=0.008219 Epoch[002] Batch [1849]/[3759] Speed: 117.575088 samples/sec accuracy=4.546453 loss=5.127899 lr=0.008257 Epoch[002] Batch [1899]/[3759] Speed: 116.948707 samples/sec accuracy=4.549342 loss=5.126279 lr=0.008296 Epoch[002] Batch [1949]/[3759] Speed: 117.814369 samples/sec accuracy=4.560897 loss=5.124253 lr=0.008335 Epoch[002] 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accuracy=4.761480 loss=5.105105 lr=0.008722 Epoch[002] Batch [2499]/[3759] Speed: 117.108090 samples/sec accuracy=4.790000 loss=5.102478 lr=0.008761 Epoch[002] Batch [2549]/[3759] Speed: 117.668597 samples/sec accuracy=4.813725 loss=5.100386 lr=0.008800 Epoch[002] Batch [2599]/[3759] Speed: 117.106706 samples/sec accuracy=4.828726 loss=5.098819 lr=0.008838 Epoch[002] Batch [2649]/[3759] Speed: 117.159871 samples/sec accuracy=4.854953 loss=5.096738 lr=0.008877 Epoch[002] Batch [2699]/[3759] Speed: 116.344443 samples/sec accuracy=4.866319 loss=5.095256 lr=0.008916 Epoch[002] Batch [2749]/[3759] Speed: 117.507452 samples/sec accuracy=4.885227 loss=5.093265 lr=0.008955 Epoch[002] Batch [2799]/[3759] Speed: 116.807750 samples/sec accuracy=4.904576 loss=5.091204 lr=0.008993 Epoch[002] Batch [2849]/[3759] Speed: 116.479561 samples/sec accuracy=4.919408 loss=5.089544 lr=0.009032 Epoch[002] Batch [2899]/[3759] Speed: 117.011893 samples/sec accuracy=4.946121 loss=5.087305 lr=0.009071 Epoch[002] 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accuracy=5.089154 loss=5.066239 lr=0.009458 Epoch[002] Batch [3449]/[3759] Speed: 116.232377 samples/sec accuracy=5.105072 loss=5.064021 lr=0.009497 Epoch[002] Batch [3499]/[3759] Speed: 116.884932 samples/sec accuracy=5.127679 loss=5.062171 lr=0.009536 Epoch[002] Batch [3549]/[3759] Speed: 116.601612 samples/sec accuracy=5.147447 loss=5.059827 lr=0.009574 Epoch[002] Batch [3599]/[3759] Speed: 116.377209 samples/sec accuracy=5.163194 loss=5.057577 lr=0.009613 Epoch[002] Batch [3649]/[3759] Speed: 116.532743 samples/sec accuracy=5.176798 loss=5.055958 lr=0.009652 Epoch[002] Batch [3699]/[3759] Speed: 117.342040 samples/sec accuracy=5.185811 loss=5.054688 lr=0.009690 Epoch[002] Batch [3749]/[3759] Speed: 119.734941 samples/sec accuracy=5.208333 loss=5.052454 lr=0.009729 Batch [0049]/[0303]: acc-top1=3.656250 acc-top5=13.937500 Batch [0099]/[0303]: acc-top1=4.343750 acc-top5=14.437500 Batch [0149]/[0303]: acc-top1=5.750000 acc-top5=17.781250 Batch [0199]/[0303]: acc-top1=6.695312 acc-top5=18.703125 Batch [0249]/[0303]: acc-top1=6.725000 acc-top5=19.037500 Batch [0299]/[0303]: acc-top1=6.369792 acc-top5=18.843750 [Epoch 002] training: accuracy=5.207086 loss=5.052032 [Epoch 002] speed: 116 samples/sec time cost: 2187.283793 [Epoch 002] validation: acc-top1=6.363449 acc-top5=18.915017 loss=5.048796 Epoch[003] Batch [0049]/[3760] Speed: 85.511095 samples/sec accuracy=6.375000 loss=4.910545 lr=0.009775 Epoch[003] Batch [0099]/[3760] Speed: 117.079953 samples/sec accuracy=6.937500 loss=4.897018 lr=0.009814 Epoch[003] Batch [0149]/[3760] Speed: 116.585776 samples/sec accuracy=6.656250 loss=4.895017 lr=0.009852 Epoch[003] Batch [0199]/[3760] Speed: 116.508740 samples/sec accuracy=6.625000 loss=4.893402 lr=0.009891 Epoch[003] Batch [0249]/[3760] Speed: 117.927642 samples/sec accuracy=6.468750 loss=4.897829 lr=0.009930 Epoch[003] Batch [0299]/[3760] Speed: 117.687425 samples/sec accuracy=6.510417 loss=4.888481 lr=0.009969 Epoch[003] Batch [0349]/[3760] Speed: 117.254755 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Epoch[003] Batch [0849]/[3760] Speed: 116.338573 samples/sec accuracy=6.818015 loss=4.865314 lr=0.010395 Epoch[003] Batch [0899]/[3760] Speed: 116.647278 samples/sec accuracy=6.842014 loss=4.862619 lr=0.010433 Epoch[003] Batch [0949]/[3760] Speed: 116.672338 samples/sec accuracy=6.837171 loss=4.861193 lr=0.010472 Epoch[003] Batch [0999]/[3760] Speed: 116.782207 samples/sec accuracy=6.812500 loss=4.860368 lr=0.010511 Epoch[003] Batch [1049]/[3760] Speed: 117.214850 samples/sec accuracy=6.860119 loss=4.854569 lr=0.010549 Epoch[003] Batch [1099]/[3760] Speed: 116.126281 samples/sec accuracy=6.867898 loss=4.851305 lr=0.010588 Epoch[003] Batch [1149]/[3760] Speed: 116.750232 samples/sec accuracy=6.845109 loss=4.850784 lr=0.010627 Epoch[003] Batch [1199]/[3760] Speed: 117.129082 samples/sec accuracy=6.876302 loss=4.849385 lr=0.010666 Epoch[003] Batch [1249]/[3760] Speed: 115.956723 samples/sec accuracy=6.910000 loss=4.846203 lr=0.010704 Epoch[003] Batch [1299]/[3760] Speed: 118.058788 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Epoch[003] Batch [3699]/[3760] Speed: 116.648638 samples/sec accuracy=7.744088 loss=4.753268 lr=0.012602 Epoch[003] Batch [3749]/[3760] Speed: 120.326868 samples/sec accuracy=7.757917 loss=4.751702 lr=0.012641 Batch [0049]/[0303]: acc-top1=6.906250 acc-top5=22.593750 Batch [0099]/[0303]: acc-top1=6.484375 acc-top5=21.343750 Batch [0149]/[0303]: acc-top1=7.958333 acc-top5=24.312500 Batch [0199]/[0303]: acc-top1=9.039062 acc-top5=25.546875 Batch [0249]/[0303]: acc-top1=8.937500 acc-top5=25.550000 Batch [0299]/[0303]: acc-top1=8.802083 acc-top5=25.619792 [Epoch 003] training: accuracy=7.761802 loss=4.751092 [Epoch 003] speed: 116 samples/sec time cost: 2187.395957 [Epoch 003] validation: acc-top1=8.828383 acc-top5=25.670380 loss=4.666686 Epoch[004] Batch [0049]/[3760] Speed: 87.652529 samples/sec accuracy=9.468750 loss=4.560918 lr=0.012687 Epoch[004] Batch [0099]/[3760] Speed: 117.156288 samples/sec accuracy=9.609375 loss=4.570287 lr=0.012726 Epoch[004] Batch [0149]/[3760] Speed: 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lr=0.014585 Epoch[004] Batch [2549]/[3760] Speed: 117.845845 samples/sec accuracy=10.022059 loss=4.523435 lr=0.014624 Epoch[004] Batch [2599]/[3760] Speed: 116.877898 samples/sec accuracy=10.039663 loss=4.521607 lr=0.014663 Epoch[004] Batch [2649]/[3760] Speed: 117.212677 samples/sec accuracy=10.061321 loss=4.519631 lr=0.014701 Epoch[004] Batch [2699]/[3760] Speed: 117.794145 samples/sec accuracy=10.078704 loss=4.517792 lr=0.014740 Epoch[004] Batch [2749]/[3760] Speed: 117.067528 samples/sec accuracy=10.098295 loss=4.515963 lr=0.014779 Epoch[004] Batch [2799]/[3760] Speed: 116.673016 samples/sec accuracy=10.130580 loss=4.514009 lr=0.014818 Epoch[004] Batch [2849]/[3760] Speed: 117.239269 samples/sec accuracy=10.139254 loss=4.511963 lr=0.014856 Epoch[004] Batch [2899]/[3760] Speed: 117.035029 samples/sec accuracy=10.149246 loss=4.510858 lr=0.014895 Epoch[004] Batch [2949]/[3760] Speed: 118.036971 samples/sec accuracy=10.172140 loss=4.509372 lr=0.014934 Epoch[004] Batch [2999]/[3760] Speed: 117.621576 samples/sec accuracy=10.185937 loss=4.508511 lr=0.014973 Epoch[004] Batch [3049]/[3760] Speed: 116.541316 samples/sec accuracy=10.221311 loss=4.506894 lr=0.015011 Epoch[004] Batch [3099]/[3760] Speed: 116.830071 samples/sec accuracy=10.243952 loss=4.504829 lr=0.015050 Epoch[004] Batch [3149]/[3760] Speed: 117.441260 samples/sec accuracy=10.261905 loss=4.502997 lr=0.015089 Epoch[004] Batch [3199]/[3760] Speed: 116.933452 samples/sec accuracy=10.284668 loss=4.501680 lr=0.015127 Epoch[004] Batch [3249]/[3760] Speed: 117.294737 samples/sec accuracy=10.323077 loss=4.499726 lr=0.015166 Epoch[004] Batch [3299]/[3760] Speed: 117.020307 samples/sec accuracy=10.341383 loss=4.497758 lr=0.015205 Epoch[004] Batch [3349]/[3760] Speed: 117.127387 samples/sec accuracy=10.364739 loss=4.495577 lr=0.015244 Epoch[004] Batch [3399]/[3760] Speed: 117.028564 samples/sec accuracy=10.394761 loss=4.493515 lr=0.015282 Epoch[004] Batch [3449]/[3760] Speed: 117.030431 samples/sec accuracy=10.392663 loss=4.492642 lr=0.015321 Epoch[004] Batch [3499]/[3760] Speed: 117.444669 samples/sec accuracy=10.402679 loss=4.491206 lr=0.015360 Epoch[004] Batch [3549]/[3760] Speed: 116.897919 samples/sec accuracy=10.420775 loss=4.489631 lr=0.015399 Epoch[004] Batch [3599]/[3760] Speed: 116.942241 samples/sec accuracy=10.440538 loss=4.488342 lr=0.015437 Epoch[004] Batch [3649]/[3760] Speed: 117.713752 samples/sec accuracy=10.464469 loss=4.487352 lr=0.015476 Epoch[004] Batch [3699]/[3760] Speed: 116.897088 samples/sec accuracy=10.480152 loss=4.485909 lr=0.015515 Epoch[004] Batch [3749]/[3760] Speed: 121.056801 samples/sec accuracy=10.498333 loss=4.484260 lr=0.015554 Batch [0049]/[0303]: acc-top1=7.656250 acc-top5=26.250000 Batch [0099]/[0303]: acc-top1=9.562500 acc-top5=26.875000 Batch [0149]/[0303]: acc-top1=10.677083 acc-top5=29.166667 Batch [0199]/[0303]: acc-top1=11.726562 acc-top5=29.835938 Batch [0249]/[0303]: acc-top1=11.787500 acc-top5=29.787500 Batch [0299]/[0303]: acc-top1=11.458333 acc-top5=29.718750 [Epoch 004] training: accuracy=10.504488 loss=4.483943 [Epoch 004] speed: 116 samples/sec time cost: 2184.262303 [Epoch 004] validation: acc-top1=11.458333 acc-top5=29.677186 loss=4.490511 Epoch[005] Batch [0049]/[3759] Speed: 86.002720 samples/sec accuracy=12.375000 loss=4.430110 lr=0.015600 Epoch[005] Batch [0099]/[3759] Speed: 117.509686 samples/sec accuracy=12.468750 loss=4.369273 lr=0.015639 Epoch[005] Batch [0149]/[3759] Speed: 117.161436 samples/sec accuracy=12.312500 loss=4.362971 lr=0.015677 Epoch[005] Batch [0199]/[3759] Speed: 116.763716 samples/sec accuracy=12.179688 loss=4.347680 lr=0.015716 Epoch[005] Batch [0249]/[3759] Speed: 117.562073 samples/sec accuracy=12.012500 loss=4.352484 lr=0.015755 Epoch[005] Batch [0299]/[3759] Speed: 116.834972 samples/sec accuracy=12.031250 loss=4.347519 lr=0.015794 Epoch[005] Batch [0349]/[3759] Speed: 116.313556 samples/sec accuracy=12.040179 loss=4.339740 lr=0.015832 Epoch[005] Batch [0399]/[3759] 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accuracy=12.257353 loss=4.333620 lr=0.016220 Epoch[005] Batch [0899]/[3759] Speed: 116.558942 samples/sec accuracy=12.239583 loss=4.334427 lr=0.016258 Epoch[005] Batch [0949]/[3759] Speed: 117.219004 samples/sec accuracy=12.261513 loss=4.331481 lr=0.016297 Epoch[005] Batch [0999]/[3759] Speed: 117.118762 samples/sec accuracy=12.235938 loss=4.331663 lr=0.016336 Epoch[005] Batch [1049]/[3759] Speed: 117.283100 samples/sec accuracy=12.263393 loss=4.332359 lr=0.016375 Epoch[005] Batch [1099]/[3759] Speed: 116.432505 samples/sec accuracy=12.248580 loss=4.333225 lr=0.016413 Epoch[005] Batch [1149]/[3759] Speed: 117.136326 samples/sec accuracy=12.274457 loss=4.331109 lr=0.016452 Epoch[005] Batch [1199]/[3759] Speed: 115.695554 samples/sec accuracy=12.287760 loss=4.330393 lr=0.016491 Epoch[005] Batch [1249]/[3759] Speed: 116.646987 samples/sec accuracy=12.300000 loss=4.328593 lr=0.016530 Epoch[005] Batch [1299]/[3759] Speed: 117.247705 samples/sec accuracy=12.332933 loss=4.328123 lr=0.016568 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accuracy=12.992676 loss=4.279003 lr=0.018040 Epoch[005] Batch [3249]/[3759] Speed: 117.170842 samples/sec accuracy=13.012019 loss=4.277954 lr=0.018079 Epoch[005] Batch [3299]/[3759] Speed: 116.637332 samples/sec accuracy=13.026042 loss=4.276604 lr=0.018117 Epoch[005] Batch [3349]/[3759] Speed: 116.835947 samples/sec accuracy=13.035914 loss=4.275553 lr=0.018156 Epoch[005] Batch [3399]/[3759] Speed: 116.611055 samples/sec accuracy=13.051930 loss=4.273900 lr=0.018195 Epoch[005] Batch [3449]/[3759] Speed: 117.420941 samples/sec accuracy=13.060688 loss=4.272333 lr=0.018234 Epoch[005] Batch [3499]/[3759] Speed: 117.792641 samples/sec accuracy=13.071875 loss=4.271096 lr=0.018272 Epoch[005] Batch [3549]/[3759] Speed: 117.819635 samples/sec accuracy=13.074824 loss=4.269873 lr=0.018311 Epoch[005] Batch [3599]/[3759] Speed: 117.249871 samples/sec accuracy=13.102431 loss=4.268811 lr=0.018350 Epoch[005] Batch [3649]/[3759] Speed: 117.445503 samples/sec accuracy=13.125428 loss=4.267234 lr=0.018389 Epoch[005] Batch [3699]/[3759] Speed: 117.910534 samples/sec accuracy=13.138514 loss=4.266006 lr=0.018427 Epoch[005] Batch [3749]/[3759] Speed: 120.309777 samples/sec accuracy=13.148333 loss=4.264477 lr=0.018466 Batch [0049]/[0303]: acc-top1=11.437500 acc-top5=32.562500 Batch [0099]/[0303]: acc-top1=12.234375 acc-top5=33.515625 Batch [0149]/[0303]: acc-top1=13.239583 acc-top5=35.052083 Batch [0199]/[0303]: acc-top1=14.656250 acc-top5=36.445312 Batch [0249]/[0303]: acc-top1=14.387500 acc-top5=36.162500 Batch [0299]/[0303]: acc-top1=14.229167 acc-top5=36.182292 [Epoch 005] training: accuracy=13.149275 loss=4.264532 [Epoch 005] speed: 116 samples/sec time cost: 2187.873753 [Epoch 005] validation: acc-top1=14.315182 acc-top5=36.200495 loss=4.107787 Epoch[006] Batch [0049]/[3760] Speed: 87.595468 samples/sec accuracy=14.312500 loss=4.166405 lr=0.018512 Epoch[006] Batch [0099]/[3760] Speed: 116.770367 samples/sec accuracy=14.562500 loss=4.148279 lr=0.018551 Epoch[006] Batch [0149]/[3760] 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accuracy=14.648438 loss=4.140534 lr=0.018938 Epoch[006] Batch [0649]/[3760] Speed: 116.388588 samples/sec accuracy=14.682692 loss=4.140790 lr=0.018977 Epoch[006] Batch [0699]/[3760] Speed: 117.343823 samples/sec accuracy=14.758929 loss=4.138157 lr=0.019015 Epoch[006] Batch [0749]/[3760] Speed: 116.923935 samples/sec accuracy=14.772917 loss=4.137889 lr=0.019054 Epoch[006] Batch [0799]/[3760] Speed: 117.543758 samples/sec accuracy=14.828125 loss=4.134481 lr=0.019093 Epoch[006] Batch [0849]/[3760] Speed: 116.625472 samples/sec accuracy=14.860294 loss=4.135590 lr=0.019131 Epoch[006] Batch [0899]/[3760] Speed: 117.855030 samples/sec accuracy=14.875000 loss=4.133789 lr=0.019170 Epoch[006] Batch [0949]/[3760] Speed: 117.026730 samples/sec accuracy=14.911184 loss=4.132775 lr=0.019209 Epoch[006] Batch [0999]/[3760] Speed: 116.789889 samples/sec accuracy=14.948438 loss=4.131114 lr=0.019248 Epoch[006] Batch [1049]/[3760] Speed: 116.087837 samples/sec accuracy=14.968750 loss=4.129899 lr=0.019286 Epoch[006] Batch [1099]/[3760] Speed: 116.636269 samples/sec accuracy=14.984375 loss=4.127819 lr=0.019325 Epoch[006] Batch [1149]/[3760] Speed: 117.125028 samples/sec accuracy=15.004076 loss=4.126737 lr=0.019364 Epoch[006] Batch [1199]/[3760] Speed: 117.078265 samples/sec accuracy=15.016927 loss=4.126021 lr=0.019403 Epoch[006] Batch [1249]/[3760] Speed: 116.514954 samples/sec accuracy=15.036250 loss=4.123738 lr=0.019441 Epoch[006] Batch [1299]/[3760] Speed: 116.726562 samples/sec accuracy=14.993990 loss=4.123308 lr=0.019480 Epoch[006] Batch [1349]/[3760] Speed: 117.346556 samples/sec accuracy=14.988426 loss=4.121619 lr=0.019519 Epoch[006] Batch [1399]/[3760] Speed: 117.172245 samples/sec accuracy=14.982143 loss=4.121268 lr=0.019558 Epoch[006] Batch [1449]/[3760] Speed: 117.285913 samples/sec accuracy=14.963362 loss=4.122721 lr=0.019596 Epoch[006] Batch [1499]/[3760] Speed: 116.760855 samples/sec accuracy=14.950000 loss=4.122697 lr=0.019635 Epoch[006] Batch [1549]/[3760] Speed: 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loss=4.114818 lr=0.020022 Epoch[006] Batch [2049]/[3760] Speed: 117.210873 samples/sec accuracy=15.057165 loss=4.114226 lr=0.020061 Epoch[006] Batch [2099]/[3760] Speed: 117.118879 samples/sec accuracy=15.058780 loss=4.113324 lr=0.020100 Epoch[006] Batch [2149]/[3760] Speed: 116.931238 samples/sec accuracy=15.078488 loss=4.111309 lr=0.020138 Epoch[006] Batch [2199]/[3760] Speed: 116.878038 samples/sec accuracy=15.090199 loss=4.110325 lr=0.020177 Epoch[006] Batch [2249]/[3760] Speed: 116.884262 samples/sec accuracy=15.113889 loss=4.107631 lr=0.020216 Epoch[006] Batch [2299]/[3760] Speed: 117.164089 samples/sec accuracy=15.108696 loss=4.107717 lr=0.020255 Epoch[006] Batch [2349]/[3760] Speed: 117.070881 samples/sec accuracy=15.100399 loss=4.107000 lr=0.020293 Epoch[006] Batch [2399]/[3760] Speed: 117.384543 samples/sec accuracy=15.120443 loss=4.105448 lr=0.020332 Epoch[006] Batch [2449]/[3760] Speed: 117.339489 samples/sec accuracy=15.145408 loss=4.103994 lr=0.020371 Epoch[006] Batch 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accuracy=15.342691 loss=4.090930 lr=0.020758 Epoch[006] Batch [2999]/[3760] Speed: 117.797219 samples/sec accuracy=15.342708 loss=4.090601 lr=0.020797 Epoch[006] Batch [3049]/[3760] Speed: 116.943988 samples/sec accuracy=15.355020 loss=4.090139 lr=0.020836 Epoch[006] Batch [3099]/[3760] Speed: 116.659957 samples/sec accuracy=15.375000 loss=4.088536 lr=0.020874 Epoch[006] Batch [3149]/[3760] Speed: 117.797477 samples/sec accuracy=15.405258 loss=4.086408 lr=0.020913 Epoch[006] Batch [3199]/[3760] Speed: 117.086627 samples/sec accuracy=15.425293 loss=4.085634 lr=0.020952 Epoch[006] Batch [3249]/[3760] Speed: 116.904784 samples/sec accuracy=15.448077 loss=4.084784 lr=0.020991 Epoch[006] Batch [3299]/[3760] Speed: 116.656206 samples/sec accuracy=15.461648 loss=4.083310 lr=0.021029 Epoch[006] Batch [3349]/[3760] Speed: 116.959172 samples/sec accuracy=15.466418 loss=4.082754 lr=0.021068 Epoch[006] Batch [3399]/[3760] Speed: 117.041546 samples/sec accuracy=15.458180 loss=4.082679 lr=0.021107 Epoch[006] Batch [3449]/[3760] Speed: 117.194082 samples/sec accuracy=15.459239 loss=4.082364 lr=0.021145 Epoch[006] Batch [3499]/[3760] Speed: 117.528218 samples/sec accuracy=15.481696 loss=4.081104 lr=0.021184 Epoch[006] Batch [3549]/[3760] Speed: 117.166249 samples/sec accuracy=15.495599 loss=4.080413 lr=0.021223 Epoch[006] Batch [3599]/[3760] Speed: 116.570787 samples/sec accuracy=15.518663 loss=4.079416 lr=0.021262 Epoch[006] Batch [3649]/[3760] Speed: 117.143826 samples/sec accuracy=15.537243 loss=4.077974 lr=0.021300 Epoch[006] Batch [3699]/[3760] Speed: 116.457175 samples/sec accuracy=15.559122 loss=4.077769 lr=0.021339 Epoch[006] Batch [3749]/[3760] Speed: 120.161772 samples/sec accuracy=15.588333 loss=4.075746 lr=0.021378 Batch [0049]/[0303]: acc-top1=15.062500 acc-top5=38.625000 Batch [0099]/[0303]: acc-top1=14.546875 acc-top5=37.375000 Batch [0149]/[0303]: acc-top1=16.468750 acc-top5=39.302083 Batch [0199]/[0303]: acc-top1=17.929688 acc-top5=41.007812 Batch [0249]/[0303]: acc-top1=17.850000 acc-top5=40.718750 Batch [0299]/[0303]: acc-top1=17.447917 acc-top5=41.057292 [Epoch 006] training: accuracy=15.590093 loss=4.075337 [Epoch 006] speed: 116 samples/sec time cost: 2185.435828 [Epoch 006] validation: acc-top1=17.491749 acc-top5=41.073639 loss=3.930839 Epoch[007] Batch [0049]/[3760] Speed: 88.233150 samples/sec accuracy=16.437500 loss=3.999438 lr=0.021424 Epoch[007] Batch [0099]/[3760] Speed: 116.854927 samples/sec accuracy=17.265625 loss=3.966712 lr=0.021463 Epoch[007] Batch [0149]/[3760] Speed: 116.900769 samples/sec accuracy=17.583333 loss=3.942652 lr=0.021502 Epoch[007] Batch [0199]/[3760] Speed: 117.329220 samples/sec accuracy=17.585938 loss=3.942517 lr=0.021541 Epoch[007] Batch [0249]/[3760] Speed: 116.491004 samples/sec accuracy=17.443750 loss=3.946841 lr=0.021579 Epoch[007] Batch [0299]/[3760] Speed: 117.991866 samples/sec accuracy=17.442708 loss=3.951632 lr=0.021618 Epoch[007] Batch [0349]/[3760] Speed: 117.611879 samples/sec accuracy=17.464286 loss=3.952760 lr=0.021657 Epoch[007] Batch [0399]/[3760] Speed: 117.505254 samples/sec accuracy=17.460938 loss=3.955668 lr=0.021695 Epoch[007] Batch [0449]/[3760] Speed: 117.175616 samples/sec accuracy=17.378472 loss=3.964205 lr=0.021734 Epoch[007] Batch [0499]/[3760] Speed: 117.646102 samples/sec accuracy=17.340625 loss=3.963395 lr=0.021773 Epoch[007] Batch [0549]/[3760] Speed: 117.138696 samples/sec accuracy=17.264205 loss=3.963059 lr=0.021812 Epoch[007] Batch [0599]/[3760] Speed: 117.836220 samples/sec accuracy=17.229167 loss=3.962997 lr=0.021850 Epoch[007] Batch [0649]/[3760] Speed: 116.605573 samples/sec accuracy=17.213942 loss=3.963470 lr=0.021889 Epoch[007] Batch [0699]/[3760] Speed: 117.056199 samples/sec accuracy=17.223214 loss=3.962810 lr=0.021928 Epoch[007] Batch [0749]/[3760] Speed: 116.949430 samples/sec accuracy=17.129167 loss=3.967566 lr=0.021967 Epoch[007] Batch [0799]/[3760] Speed: 117.181283 samples/sec accuracy=17.117188 loss=3.964845 lr=0.022005 Epoch[007] Batch 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accuracy=17.195913 loss=3.958372 lr=0.022393 Epoch[007] Batch [1349]/[3760] Speed: 116.899982 samples/sec accuracy=17.209491 loss=3.957967 lr=0.022431 Epoch[007] Batch [1399]/[3760] Speed: 117.017048 samples/sec accuracy=17.226562 loss=3.956694 lr=0.022470 Epoch[007] Batch [1449]/[3760] Speed: 116.967994 samples/sec accuracy=17.224138 loss=3.956547 lr=0.022509 Epoch[007] Batch [1499]/[3760] Speed: 116.688702 samples/sec accuracy=17.235417 loss=3.955331 lr=0.022548 Epoch[007] Batch [1549]/[3760] Speed: 117.094976 samples/sec accuracy=17.234879 loss=3.955596 lr=0.022586 Epoch[007] Batch [1599]/[3760] Speed: 117.178263 samples/sec accuracy=17.247070 loss=3.954660 lr=0.022625 Epoch[007] Batch [1649]/[3760] Speed: 117.117199 samples/sec accuracy=17.283144 loss=3.952967 lr=0.022664 Epoch[007] Batch [1699]/[3760] Speed: 116.444322 samples/sec accuracy=17.284926 loss=3.952973 lr=0.022702 Epoch[007] Batch [1749]/[3760] Speed: 117.273713 samples/sec accuracy=17.313393 loss=3.950594 lr=0.022741 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accuracy=17.739298 loss=3.923965 lr=0.024213 Epoch[007] Batch [3699]/[3760] Speed: 117.413274 samples/sec accuracy=17.758024 loss=3.923427 lr=0.024252 Epoch[007] Batch [3749]/[3760] Speed: 120.688345 samples/sec accuracy=17.776667 loss=3.922583 lr=0.024290 Batch [0049]/[0303]: acc-top1=17.687500 acc-top5=43.750000 Batch [0099]/[0303]: acc-top1=16.781250 acc-top5=40.812500 Batch [0149]/[0303]: acc-top1=18.562500 acc-top5=42.718750 Batch [0199]/[0303]: acc-top1=19.968750 acc-top5=44.398438 Batch [0249]/[0303]: acc-top1=20.156250 acc-top5=44.706250 Batch [0299]/[0303]: acc-top1=20.119792 acc-top5=44.911458 [Epoch 007] training: accuracy=17.786735 loss=3.922376 [Epoch 007] speed: 116 samples/sec time cost: 2183.198476 [Epoch 007] validation: acc-top1=20.162954 acc-top5=44.889645 loss=3.745860 Epoch[008] Batch [0049]/[3759] Speed: 86.336875 samples/sec accuracy=19.375000 loss=3.835204 lr=0.024337 Epoch[008] Batch [0099]/[3759] Speed: 117.977769 samples/sec accuracy=18.562500 loss=3.858016 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accuracy=19.151786 loss=3.830457 lr=0.025112 Epoch[008] Batch [1099]/[3759] Speed: 116.977219 samples/sec accuracy=19.176136 loss=3.827802 lr=0.025150 Epoch[008] Batch [1149]/[3759] Speed: 117.816839 samples/sec accuracy=19.183424 loss=3.826621 lr=0.025189 Epoch[008] Batch [1199]/[3759] Speed: 117.373405 samples/sec accuracy=19.173177 loss=3.826409 lr=0.025228 Epoch[008] Batch [1249]/[3759] Speed: 117.619785 samples/sec accuracy=19.153750 loss=3.827668 lr=0.025266 Epoch[008] Batch [1299]/[3759] Speed: 116.779995 samples/sec accuracy=19.168269 loss=3.826208 lr=0.025305 Epoch[008] Batch [1349]/[3759] Speed: 117.397634 samples/sec accuracy=19.165509 loss=3.827631 lr=0.025344 Epoch[008] Batch [1399]/[3759] Speed: 116.703314 samples/sec accuracy=19.207589 loss=3.826124 lr=0.025383 Epoch[008] Batch [1449]/[3759] Speed: 116.763331 samples/sec accuracy=19.200431 loss=3.826711 lr=0.025421 Epoch[008] Batch [1499]/[3759] Speed: 116.488594 samples/sec accuracy=19.178125 loss=3.826157 lr=0.025460 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loss=3.815412 lr=0.026196 Epoch[008] Batch [2499]/[3759] Speed: 117.415723 samples/sec accuracy=19.370000 loss=3.814603 lr=0.026235 Epoch[008] Batch [2549]/[3759] Speed: 117.058339 samples/sec accuracy=19.388480 loss=3.814960 lr=0.026273 Epoch[008] Batch [2599]/[3759] Speed: 117.805429 samples/sec accuracy=19.406250 loss=3.814826 lr=0.026312 Epoch[008] Batch [2649]/[3759] Speed: 117.069111 samples/sec accuracy=19.410967 loss=3.813171 lr=0.026351 Epoch[008] Batch [2699]/[3759] Speed: 117.293829 samples/sec accuracy=19.449653 loss=3.811513 lr=0.026390 Epoch[008] Batch [2749]/[3759] Speed: 117.964214 samples/sec accuracy=19.488636 loss=3.809976 lr=0.026428 Epoch[008] Batch [2799]/[3759] Speed: 117.083737 samples/sec accuracy=19.483817 loss=3.810014 lr=0.026467 Epoch[008] Batch [2849]/[3759] Speed: 117.467568 samples/sec accuracy=19.514254 loss=3.808287 lr=0.026506 Epoch[008] Batch [2899]/[3759] Speed: 117.555509 samples/sec accuracy=19.508082 loss=3.808088 lr=0.026545 Epoch[008] Batch 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accuracy=19.630515 loss=3.800451 lr=0.026932 Epoch[008] Batch [3449]/[3759] Speed: 117.211721 samples/sec accuracy=19.665761 loss=3.799604 lr=0.026971 Epoch[008] Batch [3499]/[3759] Speed: 116.959025 samples/sec accuracy=19.686161 loss=3.798542 lr=0.027009 Epoch[008] Batch [3549]/[3759] Speed: 117.365820 samples/sec accuracy=19.702905 loss=3.797325 lr=0.027048 Epoch[008] Batch [3599]/[3759] Speed: 116.795292 samples/sec accuracy=19.683594 loss=3.797338 lr=0.027087 Epoch[008] Batch [3649]/[3759] Speed: 117.085782 samples/sec accuracy=19.692637 loss=3.796456 lr=0.027126 Epoch[008] Batch [3699]/[3759] Speed: 117.053334 samples/sec accuracy=19.703970 loss=3.795371 lr=0.027164 Epoch[008] Batch [3749]/[3759] Speed: 120.508538 samples/sec accuracy=19.707083 loss=3.794427 lr=0.027203 Batch [0049]/[0303]: acc-top1=20.906250 acc-top5=46.687500 Batch [0099]/[0303]: acc-top1=19.390625 acc-top5=44.578125 Batch [0149]/[0303]: acc-top1=21.072917 acc-top5=46.166667 Batch [0199]/[0303]: acc-top1=23.132812 acc-top5=48.148438 Batch [0249]/[0303]: acc-top1=22.637500 acc-top5=47.881250 Batch [0299]/[0303]: acc-top1=22.421875 acc-top5=48.213542 [Epoch 008] training: accuracy=19.707702 loss=3.794364 [Epoch 008] speed: 116 samples/sec time cost: 2182.576039 [Epoch 008] validation: acc-top1=22.452558 acc-top5=48.189975 loss=3.565409 Epoch[009] Batch [0049]/[3760] Speed: 87.734904 samples/sec accuracy=21.718750 loss=3.716986 lr=0.027249 Epoch[009] Batch [0099]/[3760] Speed: 117.225913 samples/sec accuracy=21.781250 loss=3.706853 lr=0.027287 Epoch[009] Batch [0149]/[3760] Speed: 117.925901 samples/sec accuracy=21.802083 loss=3.692149 lr=0.027326 Epoch[009] Batch [0199]/[3760] Speed: 116.468701 samples/sec accuracy=21.500000 loss=3.692096 lr=0.027365 Epoch[009] Batch [0249]/[3760] Speed: 117.188551 samples/sec accuracy=21.337500 loss=3.701187 lr=0.027404 Epoch[009] Batch [0299]/[3760] Speed: 117.152910 samples/sec accuracy=21.187500 loss=3.702341 lr=0.027442 Epoch[009] Batch 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accuracy=21.426587 loss=3.689095 lr=0.029650 Epoch[009] Batch [3199]/[3760] Speed: 117.873626 samples/sec accuracy=21.419922 loss=3.689940 lr=0.029689 Epoch[009] Batch [3249]/[3760] Speed: 118.135072 samples/sec accuracy=21.430288 loss=3.689200 lr=0.029727 Epoch[009] Batch [3299]/[3760] Speed: 117.273746 samples/sec accuracy=21.452178 loss=3.688029 lr=0.029766 Epoch[009] Batch [3349]/[3760] Speed: 116.807973 samples/sec accuracy=21.458955 loss=3.687305 lr=0.029805 Epoch[009] Batch [3399]/[3760] Speed: 117.341040 samples/sec accuracy=21.454963 loss=3.687328 lr=0.029844 Epoch[009] Batch [3449]/[3760] Speed: 117.289925 samples/sec accuracy=21.456522 loss=3.687014 lr=0.029882 Epoch[009] Batch [3499]/[3760] Speed: 116.945211 samples/sec accuracy=21.467857 loss=3.687102 lr=0.029921 Epoch[009] Batch [3549]/[3760] Speed: 117.711219 samples/sec accuracy=21.493838 loss=3.686895 lr=0.029960 Epoch[009] Batch [3599]/[3760] Speed: 116.972204 samples/sec accuracy=21.510417 loss=3.686416 lr=0.029999 Epoch[009] Batch [3649]/[3760] Speed: 117.479114 samples/sec accuracy=21.500428 loss=3.686395 lr=0.030037 Epoch[009] Batch [3699]/[3760] Speed: 117.272752 samples/sec accuracy=21.503378 loss=3.685832 lr=0.030076 Epoch[009] Batch [3749]/[3760] Speed: 120.836756 samples/sec accuracy=21.508750 loss=3.685026 lr=0.030115 Batch [0049]/[0303]: acc-top1=20.718750 acc-top5=46.187500 Batch [0099]/[0303]: acc-top1=20.953125 acc-top5=45.734375 Batch [0149]/[0303]: acc-top1=22.312500 acc-top5=46.968750 Batch [0199]/[0303]: acc-top1=23.953125 acc-top5=48.875000 Batch [0249]/[0303]: acc-top1=23.037500 acc-top5=48.556250 Batch [0299]/[0303]: acc-top1=22.484375 acc-top5=48.343750 [Epoch 009] training: accuracy=21.513880 loss=3.684906 [Epoch 009] speed: 116 samples/sec time cost: 2180.014832 [Epoch 009] validation: acc-top1=22.493812 acc-top5=48.267327 loss=3.658664 Epoch[010] Batch [0049]/[3760] Speed: 86.655798 samples/sec accuracy=22.625000 loss=3.558947 lr=0.030161 Epoch[010] Batch [0099]/[3760] 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accuracy=22.306818 loss=3.608222 lr=0.030549 Epoch[010] Batch [0599]/[3760] Speed: 117.680266 samples/sec accuracy=22.411458 loss=3.606490 lr=0.030587 Epoch[010] Batch [0649]/[3760] Speed: 117.985743 samples/sec accuracy=22.362981 loss=3.607920 lr=0.030626 Epoch[010] Batch [0699]/[3760] Speed: 116.654464 samples/sec accuracy=22.330357 loss=3.606663 lr=0.030665 Epoch[010] Batch [0749]/[3760] Speed: 117.336383 samples/sec accuracy=22.347917 loss=3.609246 lr=0.030703 Epoch[010] Batch [0799]/[3760] Speed: 117.198973 samples/sec accuracy=22.375000 loss=3.611399 lr=0.030742 Epoch[010] Batch [0849]/[3760] Speed: 117.857324 samples/sec accuracy=22.362132 loss=3.611738 lr=0.030781 Epoch[010] Batch [0899]/[3760] Speed: 116.679558 samples/sec accuracy=22.331597 loss=3.612902 lr=0.030820 Epoch[010] Batch [0949]/[3760] Speed: 116.744996 samples/sec accuracy=22.350329 loss=3.614855 lr=0.030858 Epoch[010] Batch [0999]/[3760] Speed: 117.572855 samples/sec accuracy=22.398438 loss=3.611766 lr=0.030897 Epoch[010] Batch [1049]/[3760] Speed: 117.144039 samples/sec accuracy=22.397321 loss=3.614595 lr=0.030936 Epoch[010] Batch [1099]/[3760] Speed: 117.409211 samples/sec accuracy=22.451705 loss=3.612230 lr=0.030975 Epoch[010] Batch [1149]/[3760] Speed: 117.613300 samples/sec accuracy=22.483696 loss=3.608490 lr=0.031013 Epoch[010] Batch [1199]/[3760] Speed: 116.872969 samples/sec accuracy=22.494792 loss=3.608650 lr=0.031052 Epoch[010] Batch [1249]/[3760] Speed: 117.288918 samples/sec accuracy=22.502500 loss=3.608760 lr=0.031091 Epoch[010] Batch [1299]/[3760] Speed: 116.937813 samples/sec accuracy=22.543269 loss=3.608065 lr=0.031130 Epoch[010] Batch [1349]/[3760] Speed: 117.081748 samples/sec accuracy=22.531250 loss=3.608742 lr=0.031168 Epoch[010] Batch [1399]/[3760] Speed: 117.482812 samples/sec accuracy=22.508929 loss=3.609653 lr=0.031207 Epoch[010] Batch [1449]/[3760] Speed: 117.148601 samples/sec accuracy=22.481681 loss=3.611190 lr=0.031246 Epoch[010] Batch [1499]/[3760] Speed: 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loss=3.603098 lr=0.031633 Epoch[010] Batch [1999]/[3760] Speed: 117.419025 samples/sec accuracy=22.622656 loss=3.603713 lr=0.031672 Epoch[010] Batch [2049]/[3760] Speed: 117.827322 samples/sec accuracy=22.671494 loss=3.603163 lr=0.031710 Epoch[010] Batch [2099]/[3760] Speed: 117.800607 samples/sec accuracy=22.683780 loss=3.602946 lr=0.031749 Epoch[010] Batch [2149]/[3760] Speed: 117.990505 samples/sec accuracy=22.718750 loss=3.602122 lr=0.031788 Epoch[010] Batch [2199]/[3760] Speed: 118.743060 samples/sec accuracy=22.708097 loss=3.602183 lr=0.031827 Epoch[010] Batch [2249]/[3760] Speed: 117.083158 samples/sec accuracy=22.728472 loss=3.601256 lr=0.031865 Epoch[010] Batch [2299]/[3760] Speed: 117.916884 samples/sec accuracy=22.745924 loss=3.601344 lr=0.031904 Epoch[010] Batch [2349]/[3760] Speed: 118.008530 samples/sec accuracy=22.767287 loss=3.599985 lr=0.031943 Epoch[010] Batch [2399]/[3760] Speed: 117.639806 samples/sec accuracy=22.777344 loss=3.600529 lr=0.031982 Epoch[010] Batch 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accuracy=22.903556 loss=3.593811 lr=0.032369 Epoch[010] Batch [2949]/[3760] Speed: 116.790506 samples/sec accuracy=22.922140 loss=3.593762 lr=0.032408 Epoch[010] Batch [2999]/[3760] Speed: 117.288293 samples/sec accuracy=22.918229 loss=3.593598 lr=0.032446 Epoch[010] Batch [3049]/[3760] Speed: 117.344218 samples/sec accuracy=22.952869 loss=3.592764 lr=0.032485 Epoch[010] Batch [3099]/[3760] Speed: 117.255345 samples/sec accuracy=22.955141 loss=3.593071 lr=0.032524 Epoch[010] Batch [3149]/[3760] Speed: 117.704240 samples/sec accuracy=22.955357 loss=3.592900 lr=0.032563 Epoch[010] Batch [3199]/[3760] Speed: 117.411518 samples/sec accuracy=22.973145 loss=3.591451 lr=0.032601 Epoch[010] Batch [3249]/[3760] Speed: 117.730145 samples/sec accuracy=22.995673 loss=3.590929 lr=0.032640 Epoch[010] Batch [3299]/[3760] Speed: 117.425933 samples/sec accuracy=22.996686 loss=3.591417 lr=0.032679 Epoch[010] Batch [3349]/[3760] Speed: 118.055114 samples/sec accuracy=23.012593 loss=3.590463 lr=0.032717 Epoch[010] Batch [3399]/[3760] Speed: 116.953990 samples/sec accuracy=23.028493 loss=3.590341 lr=0.032756 Epoch[010] Batch [3449]/[3760] Speed: 117.911588 samples/sec accuracy=23.026268 loss=3.589931 lr=0.032795 Epoch[010] Batch [3499]/[3760] Speed: 118.139017 samples/sec accuracy=23.012500 loss=3.590345 lr=0.032834 Epoch[010] Batch [3549]/[3760] Speed: 117.737549 samples/sec accuracy=23.031690 loss=3.589387 lr=0.032872 Epoch[010] Batch [3599]/[3760] Speed: 117.388328 samples/sec accuracy=23.040799 loss=3.589392 lr=0.032911 Epoch[010] Batch [3649]/[3760] Speed: 117.645449 samples/sec accuracy=23.045377 loss=3.589280 lr=0.032950 Epoch[010] Batch [3699]/[3760] Speed: 117.375849 samples/sec accuracy=23.029139 loss=3.590321 lr=0.032989 Epoch[010] Batch [3749]/[3760] Speed: 120.278056 samples/sec accuracy=23.031667 loss=3.590515 lr=0.033027 Batch [0049]/[0303]: acc-top1=26.125000 acc-top5=51.156250 Batch [0099]/[0303]: acc-top1=24.093750 acc-top5=49.062500 Batch [0149]/[0303]: acc-top1=24.531250 acc-top5=50.781250 Batch [0199]/[0303]: acc-top1=25.960937 acc-top5=52.359375 Batch [0249]/[0303]: acc-top1=25.525000 acc-top5=52.293750 Batch [0299]/[0303]: acc-top1=25.505208 acc-top5=52.364583 [Epoch 010] training: accuracy=23.041888 loss=3.590157 [Epoch 010] speed: 116 samples/sec time cost: 2178.153335 [Epoch 010] validation: acc-top1=25.489893 acc-top5=52.315388 loss=3.390313 Epoch[011] Batch [0049]/[3759] Speed: 87.460340 samples/sec accuracy=23.375000 loss=3.596291 lr=0.033074 Epoch[011] Batch [0099]/[3759] Speed: 117.215095 samples/sec accuracy=24.390625 loss=3.543345 lr=0.033113 Epoch[011] Batch [0149]/[3759] Speed: 118.280210 samples/sec accuracy=24.322917 loss=3.533233 lr=0.033151 Epoch[011] Batch [0199]/[3759] Speed: 115.950086 samples/sec accuracy=23.984375 loss=3.525345 lr=0.033190 Epoch[011] Batch [0249]/[3759] Speed: 117.964903 samples/sec accuracy=24.106250 loss=3.509891 lr=0.033229 Epoch[011] Batch [0299]/[3759] Speed: 118.017367 samples/sec accuracy=24.161458 loss=3.513058 lr=0.033267 Epoch[011] Batch [0349]/[3759] Speed: 118.155983 samples/sec accuracy=24.049107 loss=3.518450 lr=0.033306 Epoch[011] Batch [0399]/[3759] Speed: 117.642730 samples/sec accuracy=24.078125 loss=3.521004 lr=0.033345 Epoch[011] Batch [0449]/[3759] Speed: 117.347020 samples/sec accuracy=24.038194 loss=3.523347 lr=0.033384 Epoch[011] Batch [0499]/[3759] Speed: 116.941751 samples/sec accuracy=24.062500 loss=3.516692 lr=0.033422 Epoch[011] Batch [0549]/[3759] Speed: 116.491921 samples/sec accuracy=24.125000 loss=3.516937 lr=0.033461 Epoch[011] Batch [0599]/[3759] Speed: 118.264694 samples/sec accuracy=24.111979 loss=3.516656 lr=0.033500 Epoch[011] Batch [0649]/[3759] Speed: 117.093875 samples/sec accuracy=24.163462 loss=3.513368 lr=0.033539 Epoch[011] Batch [0699]/[3759] Speed: 117.076005 samples/sec accuracy=24.287946 loss=3.510611 lr=0.033577 Epoch[011] Batch [0749]/[3759] Speed: 117.028392 samples/sec accuracy=24.306250 loss=3.514953 lr=0.033616 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accuracy=24.069575 loss=3.523528 lr=0.035088 Epoch[011] Batch [2699]/[3759] Speed: 117.607910 samples/sec accuracy=24.068287 loss=3.523764 lr=0.035127 Epoch[011] Batch [2749]/[3759] Speed: 117.745923 samples/sec accuracy=24.063636 loss=3.523134 lr=0.035165 Epoch[011] Batch [2799]/[3759] Speed: 117.073787 samples/sec accuracy=24.057478 loss=3.522631 lr=0.035204 Epoch[011] Batch [2849]/[3759] Speed: 117.213300 samples/sec accuracy=24.091557 loss=3.521945 lr=0.035243 Epoch[011] Batch [2899]/[3759] Speed: 116.975282 samples/sec accuracy=24.112069 loss=3.521377 lr=0.035281 Epoch[011] Batch [2949]/[3759] Speed: 117.080307 samples/sec accuracy=24.132415 loss=3.520159 lr=0.035320 Epoch[011] Batch [2999]/[3759] Speed: 117.033244 samples/sec accuracy=24.126042 loss=3.520247 lr=0.035359 Epoch[011] Batch [3049]/[3759] Speed: 117.600310 samples/sec accuracy=24.118852 loss=3.520456 lr=0.035398 Epoch[011] Batch [3099]/[3759] Speed: 117.177556 samples/sec accuracy=24.108367 loss=3.520854 lr=0.035436 Epoch[011] Batch [3149]/[3759] Speed: 117.597011 samples/sec accuracy=24.105655 loss=3.521533 lr=0.035475 Epoch[011] Batch [3199]/[3759] Speed: 116.781930 samples/sec accuracy=24.125977 loss=3.520168 lr=0.035514 Epoch[011] Batch [3249]/[3759] Speed: 117.561413 samples/sec accuracy=24.134135 loss=3.520606 lr=0.035553 Epoch[011] Batch [3299]/[3759] Speed: 117.405319 samples/sec accuracy=24.154830 loss=3.519633 lr=0.035591 Epoch[011] Batch [3349]/[3759] Speed: 117.460628 samples/sec accuracy=24.161381 loss=3.518959 lr=0.035630 Epoch[011] Batch [3399]/[3759] Speed: 118.142791 samples/sec accuracy=24.167739 loss=3.518843 lr=0.035669 Epoch[011] Batch [3449]/[3759] Speed: 117.684727 samples/sec accuracy=24.163949 loss=3.518477 lr=0.035708 Epoch[011] Batch [3499]/[3759] Speed: 116.886689 samples/sec accuracy=24.154464 loss=3.518716 lr=0.035746 Epoch[011] Batch [3549]/[3759] Speed: 117.612910 samples/sec accuracy=24.167694 loss=3.518502 lr=0.035785 Epoch[011] Batch [3599]/[3759] Speed: 117.045256 samples/sec accuracy=24.179688 loss=3.518091 lr=0.035824 Epoch[011] Batch [3649]/[3759] Speed: 118.254349 samples/sec accuracy=24.183219 loss=3.518356 lr=0.035862 Epoch[011] Batch [3699]/[3759] Speed: 116.883211 samples/sec accuracy=24.172720 loss=3.518812 lr=0.035901 Epoch[011] Batch [3749]/[3759] Speed: 120.135081 samples/sec accuracy=24.197083 loss=3.517890 lr=0.035940 Batch [0049]/[0303]: acc-top1=24.906250 acc-top5=50.156250 Batch [0099]/[0303]: acc-top1=22.281250 acc-top5=46.390625 Batch [0149]/[0303]: acc-top1=22.875000 acc-top5=47.666667 Batch [0199]/[0303]: acc-top1=25.093750 acc-top5=49.898438 Batch [0249]/[0303]: acc-top1=24.550000 acc-top5=49.456250 Batch [0299]/[0303]: acc-top1=24.083333 acc-top5=49.395833 [Epoch 011] training: accuracy=24.196512 loss=3.517799 [Epoch 011] speed: 116 samples/sec time cost: 2177.457937 [Epoch 011] validation: acc-top1=24.113036 acc-top5=49.386345 loss=3.568910 Epoch[012] Batch [0049]/[3760] Speed: 88.417975 samples/sec accuracy=23.718750 loss=3.533068 lr=0.035986 Epoch[012] Batch [0099]/[3760] Speed: 117.358489 samples/sec accuracy=24.265625 loss=3.511130 lr=0.036024 Epoch[012] Batch [0149]/[3760] Speed: 116.754231 samples/sec accuracy=24.572917 loss=3.484893 lr=0.036063 Epoch[012] Batch [0199]/[3760] Speed: 117.375136 samples/sec accuracy=24.882812 loss=3.475378 lr=0.036102 Epoch[012] Batch [0249]/[3760] Speed: 117.686309 samples/sec accuracy=25.112500 loss=3.466282 lr=0.036141 Epoch[012] Batch [0299]/[3760] Speed: 117.192188 samples/sec accuracy=24.895833 loss=3.470195 lr=0.036179 Epoch[012] Batch [0349]/[3760] Speed: 117.646241 samples/sec accuracy=25.133929 loss=3.461356 lr=0.036218 Epoch[012] Batch [0399]/[3760] Speed: 117.155449 samples/sec accuracy=25.109375 loss=3.462676 lr=0.036257 Epoch[012] Batch [0449]/[3760] Speed: 117.634758 samples/sec accuracy=25.260417 loss=3.458260 lr=0.036295 Epoch[012] Batch [0499]/[3760] Speed: 116.865280 samples/sec accuracy=25.187500 loss=3.467311 lr=0.036334 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loss=3.464388 lr=0.037070 Epoch[012] Batch [1499]/[3760] Speed: 117.659801 samples/sec accuracy=25.057292 loss=3.464722 lr=0.037109 Epoch[012] Batch [1549]/[3760] Speed: 117.721037 samples/sec accuracy=25.089718 loss=3.463444 lr=0.037148 Epoch[012] Batch [1599]/[3760] Speed: 117.779132 samples/sec accuracy=25.104492 loss=3.464218 lr=0.037186 Epoch[012] Batch [1649]/[3760] Speed: 117.645680 samples/sec accuracy=25.134470 loss=3.463931 lr=0.037225 Epoch[012] Batch [1699]/[3760] Speed: 117.111933 samples/sec accuracy=25.145221 loss=3.462946 lr=0.037264 Epoch[012] Batch [1749]/[3760] Speed: 117.622714 samples/sec accuracy=25.132143 loss=3.464140 lr=0.037302 Epoch[012] Batch [1799]/[3760] Speed: 117.431410 samples/sec accuracy=25.140625 loss=3.464294 lr=0.037341 Epoch[012] Batch [1849]/[3760] Speed: 117.468224 samples/sec accuracy=25.140203 loss=3.465471 lr=0.037380 Epoch[012] Batch [1899]/[3760] Speed: 117.963330 samples/sec accuracy=25.144737 loss=3.464666 lr=0.037419 Epoch[012] Batch 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accuracy=25.167969 loss=3.462604 lr=0.037806 Epoch[012] Batch [2449]/[3760] Speed: 117.914255 samples/sec accuracy=25.161990 loss=3.462992 lr=0.037845 Epoch[012] Batch [2499]/[3760] Speed: 117.882000 samples/sec accuracy=25.143125 loss=3.463507 lr=0.037883 Epoch[012] Batch [2549]/[3760] Speed: 116.993975 samples/sec accuracy=25.152574 loss=3.462769 lr=0.037922 Epoch[012] Batch [2599]/[3760] Speed: 117.355117 samples/sec accuracy=25.169471 loss=3.461943 lr=0.037961 Epoch[012] Batch [2649]/[3760] Speed: 117.328543 samples/sec accuracy=25.178066 loss=3.462055 lr=0.038000 Epoch[012] Batch [2699]/[3760] Speed: 117.425392 samples/sec accuracy=25.181134 loss=3.462078 lr=0.038038 Epoch[012] Batch [2749]/[3760] Speed: 117.485429 samples/sec accuracy=25.184091 loss=3.461722 lr=0.038077 Epoch[012] Batch [2799]/[3760] Speed: 116.927235 samples/sec accuracy=25.179687 loss=3.461768 lr=0.038116 Epoch[012] Batch [2849]/[3760] Speed: 118.084173 samples/sec accuracy=25.180373 loss=3.461704 lr=0.038155 Epoch[012] Batch [2899]/[3760] Speed: 117.330497 samples/sec accuracy=25.183728 loss=3.461752 lr=0.038193 Epoch[012] Batch [2949]/[3760] Speed: 117.699425 samples/sec accuracy=25.174788 loss=3.461359 lr=0.038232 Epoch[012] Batch [2999]/[3760] Speed: 116.618382 samples/sec accuracy=25.183333 loss=3.461222 lr=0.038271 Epoch[012] Batch [3049]/[3760] Speed: 117.546513 samples/sec accuracy=25.207992 loss=3.460631 lr=0.038309 Epoch[012] Batch [3099]/[3760] Speed: 118.163798 samples/sec accuracy=25.229335 loss=3.459337 lr=0.038348 Epoch[012] Batch [3149]/[3760] Speed: 118.183886 samples/sec accuracy=25.218254 loss=3.460464 lr=0.038387 Epoch[012] Batch [3199]/[3760] Speed: 117.944196 samples/sec accuracy=25.224121 loss=3.459853 lr=0.038426 Epoch[012] Batch [3249]/[3760] Speed: 117.556044 samples/sec accuracy=25.233173 loss=3.459322 lr=0.038464 Epoch[012] Batch [3299]/[3760] Speed: 117.598784 samples/sec accuracy=25.242898 loss=3.458567 lr=0.038503 Epoch[012] Batch [3349]/[3760] Speed: 117.409671 samples/sec accuracy=25.256063 loss=3.457822 lr=0.038542 Epoch[012] Batch [3399]/[3760] Speed: 117.182342 samples/sec accuracy=25.251838 loss=3.457342 lr=0.038581 Epoch[012] Batch [3449]/[3760] Speed: 117.287839 samples/sec accuracy=25.240036 loss=3.458492 lr=0.038619 Epoch[012] Batch [3499]/[3760] Speed: 117.227578 samples/sec accuracy=25.243304 loss=3.458326 lr=0.038658 Epoch[012] Batch [3549]/[3760] Speed: 118.100595 samples/sec accuracy=25.247799 loss=3.458051 lr=0.038697 Epoch[012] Batch [3599]/[3760] Speed: 117.443603 samples/sec accuracy=25.227865 loss=3.458838 lr=0.038735 Epoch[012] Batch [3649]/[3760] Speed: 116.714365 samples/sec accuracy=25.229880 loss=3.458743 lr=0.038774 Epoch[012] Batch [3699]/[3760] Speed: 117.333437 samples/sec accuracy=25.237331 loss=3.458843 lr=0.038813 Epoch[012] Batch [3749]/[3760] Speed: 120.373587 samples/sec accuracy=25.227917 loss=3.459334 lr=0.038852 Batch [0049]/[0303]: acc-top1=26.656250 acc-top5=53.437500 Batch [0099]/[0303]: acc-top1=24.765625 acc-top5=51.453125 Batch [0149]/[0303]: acc-top1=26.229167 acc-top5=52.885417 Batch [0199]/[0303]: acc-top1=28.984375 acc-top5=55.179688 Batch [0249]/[0303]: acc-top1=28.568750 acc-top5=55.337500 Batch [0299]/[0303]: acc-top1=27.984375 acc-top5=55.427083 [Epoch 012] training: accuracy=25.234791 loss=3.458918 [Epoch 012] speed: 116 samples/sec time cost: 2176.693999 [Epoch 012] validation: acc-top1=27.851691 acc-top5=55.301155 loss=3.313625 Epoch[013] Batch [0049]/[3760] Speed: 86.145154 samples/sec accuracy=26.656250 loss=3.374520 lr=0.038898 Epoch[013] Batch [0099]/[3760] Speed: 117.007152 samples/sec accuracy=25.828125 loss=3.417770 lr=0.038937 Epoch[013] Batch [0149]/[3760] Speed: 116.824439 samples/sec accuracy=25.958333 loss=3.390366 lr=0.038976 Epoch[013] Batch [0199]/[3760] Speed: 116.827180 samples/sec accuracy=25.906250 loss=3.402480 lr=0.039014 Epoch[013] Batch [0249]/[3760] Speed: 117.563663 samples/sec accuracy=25.675000 loss=3.417963 lr=0.039053 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loss=3.412500 lr=0.041609 Epoch[013] Batch [3599]/[3760] Speed: 117.800063 samples/sec accuracy=25.990017 loss=3.412347 lr=0.041648 Epoch[013] Batch [3649]/[3760] Speed: 117.163987 samples/sec accuracy=25.973887 loss=3.412566 lr=0.041687 Epoch[013] Batch [3699]/[3760] Speed: 117.937258 samples/sec accuracy=25.990287 loss=3.412109 lr=0.041726 Epoch[013] Batch [3749]/[3760] Speed: 121.023493 samples/sec accuracy=26.000000 loss=3.412098 lr=0.041764 Batch [0049]/[0303]: acc-top1=28.125000 acc-top5=53.875000 Batch [0099]/[0303]: acc-top1=25.718750 acc-top5=51.234375 Batch [0149]/[0303]: acc-top1=26.083333 acc-top5=52.156250 Batch [0199]/[0303]: acc-top1=28.171875 acc-top5=54.195312 Batch [0249]/[0303]: acc-top1=27.575000 acc-top5=53.981250 Batch [0299]/[0303]: acc-top1=26.984375 acc-top5=54.062500 [Epoch 013] training: accuracy=26.003989 loss=3.412302 [Epoch 013] speed: 116 samples/sec time cost: 2177.241477 [Epoch 013] validation: acc-top1=26.969884 acc-top5=54.037748 loss=3.324269 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accuracy=26.796875 loss=3.373282 lr=0.043244 Epoch[014] Batch [1949]/[3759] Speed: 117.731491 samples/sec accuracy=26.755609 loss=3.375698 lr=0.043283 Epoch[014] Batch [1999]/[3759] Speed: 117.587281 samples/sec accuracy=26.784375 loss=3.374369 lr=0.043321 Epoch[014] Batch [2049]/[3759] Speed: 118.072531 samples/sec accuracy=26.778201 loss=3.373650 lr=0.043360 Epoch[014] Batch [2099]/[3759] Speed: 117.596923 samples/sec accuracy=26.779762 loss=3.373900 lr=0.043399 Epoch[014] Batch [2149]/[3759] Speed: 117.084940 samples/sec accuracy=26.783430 loss=3.373062 lr=0.043437 Epoch[014] Batch [2199]/[3759] Speed: 117.953031 samples/sec accuracy=26.772017 loss=3.373943 lr=0.043476 Epoch[014] Batch [2249]/[3759] Speed: 117.300656 samples/sec accuracy=26.763889 loss=3.374114 lr=0.043515 Epoch[014] Batch [2299]/[3759] Speed: 117.911023 samples/sec accuracy=26.769022 loss=3.373419 lr=0.043554 Epoch[014] Batch [2349]/[3759] Speed: 117.498026 samples/sec accuracy=26.790559 loss=3.372905 lr=0.043592 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loss=3.374976 lr=0.044328 Epoch[014] Batch [3349]/[3759] Speed: 117.632234 samples/sec accuracy=26.755131 loss=3.374760 lr=0.044367 Epoch[014] Batch [3399]/[3759] Speed: 116.752725 samples/sec accuracy=26.734835 loss=3.374937 lr=0.044406 Epoch[014] Batch [3449]/[3759] Speed: 117.580513 samples/sec accuracy=26.739130 loss=3.374870 lr=0.044444 Epoch[014] Batch [3499]/[3759] Speed: 116.839447 samples/sec accuracy=26.740179 loss=3.374899 lr=0.044483 Epoch[014] Batch [3549]/[3759] Speed: 117.725280 samples/sec accuracy=26.742518 loss=3.375168 lr=0.044522 Epoch[014] Batch [3599]/[3759] Speed: 117.744701 samples/sec accuracy=26.746962 loss=3.374911 lr=0.044561 Epoch[014] Batch [3649]/[3759] Speed: 117.564242 samples/sec accuracy=26.730736 loss=3.375686 lr=0.044599 Epoch[014] Batch [3699]/[3759] Speed: 117.205725 samples/sec accuracy=26.727618 loss=3.376301 lr=0.044638 Epoch[014] Batch [3749]/[3759] Speed: 120.742418 samples/sec accuracy=26.746250 loss=3.375953 lr=0.044677 Batch [0049]/[0303]: acc-top1=28.468750 acc-top5=52.500000 Batch [0099]/[0303]: acc-top1=24.796875 acc-top5=49.906250 Batch [0149]/[0303]: acc-top1=25.864583 acc-top5=51.614583 Batch [0199]/[0303]: acc-top1=28.226563 acc-top5=54.109375 Batch [0249]/[0303]: acc-top1=28.037500 acc-top5=54.262500 Batch [0299]/[0303]: acc-top1=27.604167 acc-top5=54.432292 [Epoch 014] training: accuracy=26.748304 loss=3.375888 [Epoch 014] speed: 117 samples/sec time cost: 2173.432985 [Epoch 014] validation: acc-top1=27.629950 acc-top5=54.491543 loss=3.350162 Epoch[015] Batch [0049]/[3760] Speed: 86.943770 samples/sec accuracy=26.281250 loss=3.375057 lr=0.044723 Epoch[015] Batch [0099]/[3760] Speed: 117.390993 samples/sec accuracy=26.890625 loss=3.362496 lr=0.044761 Epoch[015] Batch [0149]/[3760] Speed: 117.994876 samples/sec accuracy=26.697917 loss=3.368180 lr=0.044800 Epoch[015] Batch [0199]/[3760] Speed: 117.388444 samples/sec accuracy=27.140625 loss=3.349989 lr=0.044839 Epoch[015] Batch [0249]/[3760] Speed: 117.730196 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loss=3.342902 lr=0.047046 Epoch[015] Batch [3099]/[3760] Speed: 117.020853 samples/sec accuracy=27.329133 loss=3.343899 lr=0.047085 Epoch[015] Batch [3149]/[3760] Speed: 116.771692 samples/sec accuracy=27.336310 loss=3.343401 lr=0.047124 Epoch[015] Batch [3199]/[3760] Speed: 117.609365 samples/sec accuracy=27.334961 loss=3.343065 lr=0.047163 Epoch[015] Batch [3249]/[3760] Speed: 117.466300 samples/sec accuracy=27.333173 loss=3.343525 lr=0.047201 Epoch[015] Batch [3299]/[3760] Speed: 117.971276 samples/sec accuracy=27.321970 loss=3.344105 lr=0.047240 Epoch[015] Batch [3349]/[3760] Speed: 117.745504 samples/sec accuracy=27.316698 loss=3.343989 lr=0.047279 Epoch[015] Batch [3399]/[3760] Speed: 117.676797 samples/sec accuracy=27.313419 loss=3.344291 lr=0.047317 Epoch[015] Batch [3449]/[3760] Speed: 117.410408 samples/sec accuracy=27.288043 loss=3.344610 lr=0.047356 Epoch[015] Batch [3499]/[3760] Speed: 117.721189 samples/sec accuracy=27.299554 loss=3.344020 lr=0.047395 Epoch[015] Batch [3549]/[3760] Speed: 117.991178 samples/sec accuracy=27.297535 loss=3.343620 lr=0.047434 Epoch[015] Batch [3599]/[3760] Speed: 117.554715 samples/sec accuracy=27.296875 loss=3.343837 lr=0.047472 Epoch[015] Batch [3649]/[3760] Speed: 117.986199 samples/sec accuracy=27.307791 loss=3.343825 lr=0.047511 Epoch[015] Batch [3699]/[3760] Speed: 117.893312 samples/sec accuracy=27.301943 loss=3.344391 lr=0.047550 Epoch[015] Batch [3749]/[3760] Speed: 120.865032 samples/sec accuracy=27.298333 loss=3.344978 lr=0.047589 Batch [0049]/[0303]: acc-top1=27.062500 acc-top5=54.750000 Batch [0099]/[0303]: acc-top1=24.937500 acc-top5=52.609375 Batch [0149]/[0303]: acc-top1=25.791667 acc-top5=53.291667 Batch [0199]/[0303]: acc-top1=28.242188 acc-top5=55.296875 Batch [0249]/[0303]: acc-top1=27.918750 acc-top5=55.125000 Batch [0299]/[0303]: acc-top1=27.718750 acc-top5=55.395833 [Epoch 015] training: accuracy=27.310505 loss=3.344512 [Epoch 015] speed: 117 samples/sec time cost: 2176.638997 [Epoch 015] validation: acc-top1=27.856848 acc-top5=55.548680 loss=3.278189 Epoch[016] Batch [0049]/[3760] Speed: 87.102794 samples/sec accuracy=28.062500 loss=3.282340 lr=0.047635 Epoch[016] Batch [0099]/[3760] Speed: 117.419967 samples/sec accuracy=28.078125 loss=3.282690 lr=0.047674 Epoch[016] Batch [0149]/[3760] Speed: 117.525251 samples/sec accuracy=28.229167 loss=3.279835 lr=0.047713 Epoch[016] Batch [0199]/[3760] Speed: 117.074925 samples/sec accuracy=27.843750 loss=3.298086 lr=0.047751 Epoch[016] Batch [0249]/[3760] Speed: 118.245625 samples/sec accuracy=27.568750 loss=3.305147 lr=0.047790 Epoch[016] Batch [0299]/[3760] Speed: 117.583835 samples/sec accuracy=27.588542 loss=3.307899 lr=0.047829 Epoch[016] Batch [0349]/[3760] Speed: 117.073453 samples/sec accuracy=27.433036 loss=3.315575 lr=0.047867 Epoch[016] Batch [0399]/[3760] Speed: 116.973517 samples/sec accuracy=27.722656 loss=3.313123 lr=0.047906 Epoch[016] Batch [0449]/[3760] Speed: 117.353753 samples/sec accuracy=27.795139 loss=3.315407 lr=0.047945 Epoch[016] Batch [0499]/[3760] Speed: 117.274747 samples/sec accuracy=27.746875 loss=3.315397 lr=0.047984 Epoch[016] Batch [0549]/[3760] Speed: 117.704127 samples/sec accuracy=27.664773 loss=3.318598 lr=0.048022 Epoch[016] Batch [0599]/[3760] Speed: 117.966280 samples/sec accuracy=27.729167 loss=3.317462 lr=0.048061 Epoch[016] Batch [0649]/[3760] Speed: 117.513343 samples/sec accuracy=27.687500 loss=3.319970 lr=0.048100 Epoch[016] Batch [0699]/[3760] Speed: 117.598224 samples/sec accuracy=27.660714 loss=3.322746 lr=0.048139 Epoch[016] Batch [0749]/[3760] Speed: 116.560025 samples/sec accuracy=27.720833 loss=3.322702 lr=0.048177 Epoch[016] Batch [0799]/[3760] Speed: 117.200123 samples/sec accuracy=27.744141 loss=3.322027 lr=0.048216 Epoch[016] Batch [0849]/[3760] Speed: 117.233484 samples/sec accuracy=27.775735 loss=3.318213 lr=0.048255 Epoch[016] Batch [0899]/[3760] Speed: 117.350444 samples/sec accuracy=27.824653 loss=3.319440 lr=0.048294 Epoch[016] Batch 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accuracy=27.854911 loss=3.317145 lr=0.048681 Epoch[016] Batch [1449]/[3760] Speed: 117.396201 samples/sec accuracy=27.814655 loss=3.319226 lr=0.048720 Epoch[016] Batch [1499]/[3760] Speed: 116.901686 samples/sec accuracy=27.806250 loss=3.319623 lr=0.048758 Epoch[016] Batch [1549]/[3760] Speed: 117.126436 samples/sec accuracy=27.820565 loss=3.320186 lr=0.048797 Epoch[016] Batch [1599]/[3760] Speed: 117.830265 samples/sec accuracy=27.851562 loss=3.319042 lr=0.048836 Epoch[016] Batch [1649]/[3760] Speed: 117.896117 samples/sec accuracy=27.821023 loss=3.319902 lr=0.048874 Epoch[016] Batch [1699]/[3760] Speed: 117.342646 samples/sec accuracy=27.812500 loss=3.320996 lr=0.048913 Epoch[016] Batch [1749]/[3760] Speed: 117.362479 samples/sec accuracy=27.759821 loss=3.322985 lr=0.048952 Epoch[016] Batch [1799]/[3760] Speed: 118.122302 samples/sec accuracy=27.768229 loss=3.322630 lr=0.048991 Epoch[016] Batch [1849]/[3760] Speed: 117.715286 samples/sec accuracy=27.734797 loss=3.323253 lr=0.049029 Epoch[016] Batch [1899]/[3760] Speed: 117.648235 samples/sec accuracy=27.755757 loss=3.323746 lr=0.049068 Epoch[016] Batch [1949]/[3760] Speed: 117.070032 samples/sec accuracy=27.757212 loss=3.323594 lr=0.049107 Epoch[016] Batch [1999]/[3760] Speed: 116.783503 samples/sec accuracy=27.762500 loss=3.323854 lr=0.049146 Epoch[016] Batch [2049]/[3760] Speed: 116.344470 samples/sec accuracy=27.769817 loss=3.324464 lr=0.049184 Epoch[016] Batch [2099]/[3760] Speed: 118.075790 samples/sec accuracy=27.769345 loss=3.324849 lr=0.049223 Epoch[016] Batch [2149]/[3760] Speed: 117.786462 samples/sec accuracy=27.779070 loss=3.324716 lr=0.049262 Epoch[016] Batch [2199]/[3760] Speed: 117.469954 samples/sec accuracy=27.785511 loss=3.324465 lr=0.049301 Epoch[016] Batch [2249]/[3760] Speed: 117.556547 samples/sec accuracy=27.765278 loss=3.325699 lr=0.049339 Epoch[016] Batch [2299]/[3760] Speed: 117.718774 samples/sec accuracy=27.766984 loss=3.325758 lr=0.049378 Epoch[016] Batch [2349]/[3760] Speed: 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loss=3.325049 lr=0.049765 Epoch[016] Batch [2849]/[3760] Speed: 117.289590 samples/sec accuracy=27.819627 loss=3.326148 lr=0.049804 Epoch[016] Batch [2899]/[3760] Speed: 117.994292 samples/sec accuracy=27.810884 loss=3.326089 lr=0.049843 Epoch[016] Batch [2949]/[3760] Speed: 117.694293 samples/sec accuracy=27.812500 loss=3.325977 lr=0.049881 Epoch[016] Batch [2999]/[3760] Speed: 117.853162 samples/sec accuracy=27.818750 loss=3.325998 lr=0.049920 Epoch[016] Batch [3049]/[3760] Speed: 117.408322 samples/sec accuracy=27.812500 loss=3.326320 lr=0.049959 Epoch[016] Batch [3099]/[3760] Speed: 117.089525 samples/sec accuracy=27.823085 loss=3.325501 lr=0.049998 Epoch[016] Batch [3149]/[3760] Speed: 117.613385 samples/sec accuracy=27.836806 loss=3.324410 lr=0.050036 Epoch[016] Batch [3199]/[3760] Speed: 117.708995 samples/sec accuracy=27.830078 loss=3.324145 lr=0.050075 Epoch[016] Batch [3249]/[3760] Speed: 117.444953 samples/sec accuracy=27.841346 loss=3.323608 lr=0.050114 Epoch[016] Batch [3299]/[3760] Speed: 117.868929 samples/sec accuracy=27.857481 loss=3.323506 lr=0.050153 Epoch[016] Batch [3349]/[3760] Speed: 117.863751 samples/sec accuracy=27.849347 loss=3.324206 lr=0.050191 Epoch[016] Batch [3399]/[3760] Speed: 117.389296 samples/sec accuracy=27.839154 loss=3.324500 lr=0.050230 Epoch[016] Batch [3449]/[3760] Speed: 117.633315 samples/sec accuracy=27.839221 loss=3.324706 lr=0.050269 Epoch[016] Batch [3499]/[3760] Speed: 116.799517 samples/sec accuracy=27.826339 loss=3.325258 lr=0.050308 Epoch[016] Batch [3549]/[3760] Speed: 117.935912 samples/sec accuracy=27.841549 loss=3.324007 lr=0.050346 Epoch[016] Batch [3599]/[3760] Speed: 117.619510 samples/sec accuracy=27.846354 loss=3.324452 lr=0.050385 Epoch[016] Batch [3649]/[3760] Speed: 117.108789 samples/sec accuracy=27.846318 loss=3.324643 lr=0.050424 Epoch[016] Batch [3699]/[3760] Speed: 116.638913 samples/sec accuracy=27.843750 loss=3.324632 lr=0.050462 Epoch[016] Batch [3749]/[3760] Speed: 120.399491 samples/sec accuracy=27.841250 loss=3.324968 lr=0.050501 Batch [0049]/[0303]: acc-top1=28.718750 acc-top5=56.687500 Batch [0099]/[0303]: acc-top1=26.593750 acc-top5=53.953125 Batch [0149]/[0303]: acc-top1=28.250000 acc-top5=55.260417 Batch [0199]/[0303]: acc-top1=30.625000 acc-top5=57.453125 Batch [0249]/[0303]: acc-top1=30.050000 acc-top5=57.231250 Batch [0299]/[0303]: acc-top1=29.322917 acc-top5=57.109375 [Epoch 016] training: accuracy=27.836602 loss=3.325063 [Epoch 016] speed: 117 samples/sec time cost: 2176.771168 [Epoch 016] validation: acc-top1=29.414191 acc-top5=57.173061 loss=3.215431 Epoch[017] Batch [0049]/[3759] Speed: 88.384379 samples/sec accuracy=28.906250 loss=3.269528 lr=0.050548 Epoch[017] Batch [0099]/[3759] Speed: 116.751379 samples/sec accuracy=27.921875 loss=3.325232 lr=0.050586 Epoch[017] Batch [0149]/[3759] Speed: 117.565310 samples/sec accuracy=28.250000 loss=3.320267 lr=0.050625 Epoch[017] Batch [0199]/[3759] Speed: 118.294189 samples/sec accuracy=28.281250 loss=3.312923 lr=0.050664 Epoch[017] Batch [0249]/[3759] Speed: 117.199782 samples/sec accuracy=28.268750 loss=3.314442 lr=0.050703 Epoch[017] Batch [0299]/[3759] Speed: 117.698796 samples/sec accuracy=28.354167 loss=3.313958 lr=0.050741 Epoch[017] Batch [0349]/[3759] Speed: 117.735637 samples/sec accuracy=28.504464 loss=3.310931 lr=0.050780 Epoch[017] Batch [0399]/[3759] Speed: 118.034208 samples/sec accuracy=28.449219 loss=3.309670 lr=0.050819 Epoch[017] Batch [0449]/[3759] Speed: 117.375370 samples/sec accuracy=28.402778 loss=3.318626 lr=0.050857 Epoch[017] Batch [0499]/[3759] Speed: 117.976860 samples/sec accuracy=28.565625 loss=3.311516 lr=0.050896 Epoch[017] Batch [0549]/[3759] Speed: 118.059277 samples/sec accuracy=28.534091 loss=3.306607 lr=0.050935 Epoch[017] Batch [0599]/[3759] Speed: 117.145206 samples/sec accuracy=28.419271 loss=3.310800 lr=0.050974 Epoch[017] Batch [0649]/[3759] Speed: 117.219327 samples/sec accuracy=28.487981 loss=3.306665 lr=0.051012 Epoch[017] Batch [0699]/[3759] 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loss=3.310391 lr=0.052484 Epoch[017] Batch [2599]/[3759] Speed: 117.436885 samples/sec accuracy=28.215144 loss=3.310502 lr=0.052523 Epoch[017] Batch [2649]/[3759] Speed: 117.552318 samples/sec accuracy=28.199292 loss=3.310449 lr=0.052562 Epoch[017] Batch [2699]/[3759] Speed: 116.647246 samples/sec accuracy=28.175347 loss=3.310923 lr=0.052600 Epoch[017] Batch [2749]/[3759] Speed: 117.614471 samples/sec accuracy=28.185795 loss=3.309998 lr=0.052639 Epoch[017] Batch [2799]/[3759] Speed: 117.560184 samples/sec accuracy=28.175223 loss=3.310181 lr=0.052678 Epoch[017] Batch [2849]/[3759] Speed: 118.553218 samples/sec accuracy=28.211075 loss=3.308610 lr=0.052717 Epoch[017] Batch [2899]/[3759] Speed: 116.914689 samples/sec accuracy=28.183190 loss=3.309710 lr=0.052755 Epoch[017] Batch [2949]/[3759] Speed: 117.798683 samples/sec accuracy=28.183792 loss=3.309570 lr=0.052794 Epoch[017] Batch [2999]/[3759] Speed: 118.107128 samples/sec accuracy=28.163021 loss=3.310112 lr=0.052833 Epoch[017] Batch 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accuracy=28.185714 loss=3.307367 lr=0.053220 Epoch[017] Batch [3549]/[3759] Speed: 118.590517 samples/sec accuracy=28.186180 loss=3.306882 lr=0.053259 Epoch[017] Batch [3599]/[3759] Speed: 116.725036 samples/sec accuracy=28.191406 loss=3.306841 lr=0.053298 Epoch[017] Batch [3649]/[3759] Speed: 118.204995 samples/sec accuracy=28.178938 loss=3.307900 lr=0.053336 Epoch[017] Batch [3699]/[3759] Speed: 117.137026 samples/sec accuracy=28.179899 loss=3.307503 lr=0.053375 Epoch[017] Batch [3749]/[3759] Speed: 120.841534 samples/sec accuracy=28.162917 loss=3.308287 lr=0.053414 Batch [0049]/[0303]: acc-top1=27.500000 acc-top5=52.906250 Batch [0099]/[0303]: acc-top1=26.312500 acc-top5=51.703125 Batch [0149]/[0303]: acc-top1=27.572917 acc-top5=53.104167 Batch [0199]/[0303]: acc-top1=29.710938 acc-top5=55.359375 Batch [0249]/[0303]: acc-top1=29.275000 acc-top5=55.268750 Batch [0299]/[0303]: acc-top1=28.729167 acc-top5=55.348958 [Epoch 017] training: accuracy=28.166151 loss=3.308245 [Epoch 017] speed: 117 samples/sec time cost: 2174.861529 [Epoch 017] validation: acc-top1=28.702558 acc-top5=55.280528 loss=3.343212 Epoch[018] Batch [0049]/[3760] Speed: 88.787456 samples/sec accuracy=28.031250 loss=3.296257 lr=0.053459 Epoch[018] Batch [0099]/[3760] Speed: 116.488649 samples/sec accuracy=29.093750 loss=3.226847 lr=0.053498 Epoch[018] Batch [0149]/[3760] Speed: 117.071286 samples/sec accuracy=29.312500 loss=3.254577 lr=0.053537 Epoch[018] Batch [0199]/[3760] Speed: 117.663076 samples/sec accuracy=28.953125 loss=3.252585 lr=0.053576 Epoch[018] Batch [0249]/[3760] Speed: 117.536885 samples/sec accuracy=29.137500 loss=3.246049 lr=0.053614 Epoch[018] Batch [0299]/[3760] Speed: 116.920397 samples/sec accuracy=29.015625 loss=3.259139 lr=0.053653 Epoch[018] Batch [0349]/[3760] Speed: 118.491953 samples/sec accuracy=28.790179 loss=3.269701 lr=0.053692 Epoch[018] Batch [0399]/[3760] Speed: 117.533556 samples/sec accuracy=28.718750 loss=3.276497 lr=0.053731 Epoch[018] Batch [0449]/[3760] 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accuracy=28.539931 loss=3.286540 lr=0.054118 Epoch[018] Batch [0949]/[3760] Speed: 116.967544 samples/sec accuracy=28.472039 loss=3.287248 lr=0.054157 Epoch[018] Batch [0999]/[3760] Speed: 117.140711 samples/sec accuracy=28.464062 loss=3.288245 lr=0.054195 Epoch[018] Batch [1049]/[3760] Speed: 117.850970 samples/sec accuracy=28.480655 loss=3.290906 lr=0.054234 Epoch[018] Batch [1099]/[3760] Speed: 117.789377 samples/sec accuracy=28.458807 loss=3.290896 lr=0.054273 Epoch[018] Batch [1149]/[3760] Speed: 117.781588 samples/sec accuracy=28.540761 loss=3.288052 lr=0.054312 Epoch[018] Batch [1199]/[3760] Speed: 117.794976 samples/sec accuracy=28.516927 loss=3.289265 lr=0.054350 Epoch[018] Batch [1249]/[3760] Speed: 117.111403 samples/sec accuracy=28.507500 loss=3.289470 lr=0.054389 Epoch[018] Batch [1299]/[3760] Speed: 117.279342 samples/sec accuracy=28.479567 loss=3.289610 lr=0.054428 Epoch[018] Batch [1349]/[3760] Speed: 117.037907 samples/sec accuracy=28.495370 loss=3.288962 lr=0.054466 Epoch[018] Batch [1399]/[3760] Speed: 117.578322 samples/sec accuracy=28.532366 loss=3.285918 lr=0.054505 Epoch[018] Batch [1449]/[3760] Speed: 116.212355 samples/sec accuracy=28.534483 loss=3.285490 lr=0.054544 Epoch[018] Batch [1499]/[3760] Speed: 117.123336 samples/sec accuracy=28.537500 loss=3.285479 lr=0.054583 Epoch[018] Batch [1549]/[3760] Speed: 117.767896 samples/sec accuracy=28.518145 loss=3.286912 lr=0.054621 Epoch[018] Batch [1599]/[3760] Speed: 117.834715 samples/sec accuracy=28.545898 loss=3.286124 lr=0.054660 Epoch[018] Batch [1649]/[3760] Speed: 117.538960 samples/sec accuracy=28.535038 loss=3.287813 lr=0.054699 Epoch[018] Batch [1699]/[3760] Speed: 117.083267 samples/sec accuracy=28.557904 loss=3.287497 lr=0.054738 Epoch[018] Batch [1749]/[3760] Speed: 118.084633 samples/sec accuracy=28.558036 loss=3.288798 lr=0.054776 Epoch[018] Batch [1799]/[3760] Speed: 117.868993 samples/sec accuracy=28.551215 loss=3.286961 lr=0.054815 Epoch[018] Batch [1849]/[3760] Speed: 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loss=3.288439 lr=0.055202 Epoch[018] Batch [2349]/[3760] Speed: 116.842331 samples/sec accuracy=28.426862 loss=3.290047 lr=0.055241 Epoch[018] Batch [2399]/[3760] Speed: 117.652272 samples/sec accuracy=28.424479 loss=3.290464 lr=0.055280 Epoch[018] Batch [2449]/[3760] Speed: 116.988747 samples/sec accuracy=28.399872 loss=3.292142 lr=0.055319 Epoch[018] Batch [2499]/[3760] Speed: 118.192830 samples/sec accuracy=28.420625 loss=3.291612 lr=0.055357 Epoch[018] Batch [2549]/[3760] Speed: 117.821447 samples/sec accuracy=28.413603 loss=3.292240 lr=0.055396 Epoch[018] Batch [2599]/[3760] Speed: 117.637255 samples/sec accuracy=28.405048 loss=3.292569 lr=0.055435 Epoch[018] Batch [2649]/[3760] Speed: 117.091357 samples/sec accuracy=28.427476 loss=3.292057 lr=0.055473 Epoch[018] Batch [2699]/[3760] Speed: 117.309482 samples/sec accuracy=28.410880 loss=3.292436 lr=0.055512 Epoch[018] Batch [2749]/[3760] Speed: 117.351799 samples/sec accuracy=28.423864 loss=3.290548 lr=0.055551 Epoch[018] Batch [2799]/[3760] Speed: 117.678032 samples/sec accuracy=28.422991 loss=3.290399 lr=0.055590 Epoch[018] Batch [2849]/[3760] Speed: 117.880839 samples/sec accuracy=28.423794 loss=3.289943 lr=0.055628 Epoch[018] Batch [2899]/[3760] Speed: 117.218379 samples/sec accuracy=28.421875 loss=3.290373 lr=0.055667 Epoch[018] Batch [2949]/[3760] Speed: 117.232584 samples/sec accuracy=28.421081 loss=3.290213 lr=0.055706 Epoch[018] Batch [2999]/[3760] Speed: 117.329910 samples/sec accuracy=28.429688 loss=3.290538 lr=0.055745 Epoch[018] Batch [3049]/[3760] Speed: 117.959555 samples/sec accuracy=28.452357 loss=3.289737 lr=0.055783 Epoch[018] Batch [3099]/[3760] Speed: 117.544763 samples/sec accuracy=28.426411 loss=3.290723 lr=0.055822 Epoch[018] Batch [3149]/[3760] Speed: 117.929264 samples/sec accuracy=28.415675 loss=3.290452 lr=0.055861 Epoch[018] Batch [3199]/[3760] Speed: 117.820412 samples/sec accuracy=28.411133 loss=3.290099 lr=0.055899 Epoch[018] Batch [3249]/[3760] Speed: 117.425164 samples/sec accuracy=28.413942 loss=3.289874 lr=0.055938 Epoch[018] Batch [3299]/[3760] Speed: 117.658426 samples/sec accuracy=28.394413 loss=3.290423 lr=0.055977 Epoch[018] Batch [3349]/[3760] Speed: 117.490640 samples/sec accuracy=28.389459 loss=3.291369 lr=0.056016 Epoch[018] Batch [3399]/[3760] Speed: 117.704798 samples/sec accuracy=28.404412 loss=3.290683 lr=0.056054 Epoch[018] Batch [3449]/[3760] Speed: 117.917827 samples/sec accuracy=28.422554 loss=3.290483 lr=0.056093 Epoch[018] Batch [3499]/[3760] Speed: 117.630980 samples/sec accuracy=28.436607 loss=3.289875 lr=0.056132 Epoch[018] Batch [3549]/[3760] Speed: 118.137284 samples/sec accuracy=28.435739 loss=3.290064 lr=0.056171 Epoch[018] Batch [3599]/[3760] Speed: 116.926471 samples/sec accuracy=28.440104 loss=3.290704 lr=0.056209 Epoch[018] Batch [3649]/[3760] Speed: 117.015722 samples/sec accuracy=28.431507 loss=3.290511 lr=0.056248 Epoch[018] Batch [3699]/[3760] Speed: 117.083800 samples/sec accuracy=28.413429 loss=3.291010 lr=0.056287 Epoch[018] Batch [3749]/[3760] Speed: 120.489464 samples/sec accuracy=28.438333 loss=3.290330 lr=0.056326 Batch [0049]/[0303]: acc-top1=27.625000 acc-top5=54.625000 Batch [0099]/[0303]: acc-top1=25.765625 acc-top5=52.750000 Batch [0149]/[0303]: acc-top1=27.781250 acc-top5=53.916667 Batch [0199]/[0303]: acc-top1=30.093750 acc-top5=56.007812 Batch [0249]/[0303]: acc-top1=29.468750 acc-top5=55.875000 Batch [0299]/[0303]: acc-top1=29.000000 acc-top5=56.239583 [Epoch 018] training: accuracy=28.430436 loss=3.290447 [Epoch 018] speed: 117 samples/sec time cost: 2175.731277 [Epoch 018] validation: acc-top1=29.063531 acc-top5=56.301568 loss=3.315158 Epoch[019] Batch [0049]/[3760] Speed: 88.400361 samples/sec accuracy=29.437500 loss=3.264239 lr=0.056372 Epoch[019] Batch [0099]/[3760] Speed: 117.326573 samples/sec accuracy=28.828125 loss=3.288594 lr=0.056411 Epoch[019] Batch [0149]/[3760] Speed: 117.065198 samples/sec accuracy=29.083333 loss=3.275201 lr=0.056449 Epoch[019] Batch [0199]/[3760] 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accuracy=29.122596 loss=3.261112 lr=0.056837 Epoch[019] Batch [0699]/[3760] Speed: 117.812821 samples/sec accuracy=28.995536 loss=3.264840 lr=0.056875 Epoch[019] Batch [0749]/[3760] Speed: 116.856244 samples/sec accuracy=28.904167 loss=3.263396 lr=0.056914 Epoch[019] Batch [0799]/[3760] Speed: 116.785533 samples/sec accuracy=28.888672 loss=3.264660 lr=0.056953 Epoch[019] Batch [0849]/[3760] Speed: 117.471948 samples/sec accuracy=28.900735 loss=3.265385 lr=0.056992 Epoch[019] Batch [0899]/[3760] Speed: 117.080034 samples/sec accuracy=28.925347 loss=3.261621 lr=0.057030 Epoch[019] Batch [0949]/[3760] Speed: 116.965637 samples/sec accuracy=28.847039 loss=3.266166 lr=0.057069 Epoch[019] Batch [0999]/[3760] Speed: 117.923604 samples/sec accuracy=28.762500 loss=3.270913 lr=0.057108 Epoch[019] Batch [1049]/[3760] Speed: 117.918784 samples/sec accuracy=28.889881 loss=3.265692 lr=0.057147 Epoch[019] Batch [1099]/[3760] Speed: 117.637656 samples/sec accuracy=28.940341 loss=3.262710 lr=0.057185 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accuracy=28.784375 loss=3.272986 lr=0.058657 Epoch[019] Batch [3049]/[3760] Speed: 117.716877 samples/sec accuracy=28.803279 loss=3.272234 lr=0.058696 Epoch[019] Batch [3099]/[3760] Speed: 116.806894 samples/sec accuracy=28.788306 loss=3.272090 lr=0.058735 Epoch[019] Batch [3149]/[3760] Speed: 117.087215 samples/sec accuracy=28.780258 loss=3.272429 lr=0.058773 Epoch[019] Batch [3199]/[3760] Speed: 117.309183 samples/sec accuracy=28.792969 loss=3.272074 lr=0.058812 Epoch[019] Batch [3249]/[3760] Speed: 117.595190 samples/sec accuracy=28.803846 loss=3.271904 lr=0.058851 Epoch[019] Batch [3299]/[3760] Speed: 117.160508 samples/sec accuracy=28.785038 loss=3.272938 lr=0.058889 Epoch[019] Batch [3349]/[3760] Speed: 117.821111 samples/sec accuracy=28.787313 loss=3.273057 lr=0.058928 Epoch[019] Batch [3399]/[3760] Speed: 117.772872 samples/sec accuracy=28.797794 loss=3.272860 lr=0.058967 Epoch[019] Batch [3449]/[3760] Speed: 117.850372 samples/sec accuracy=28.798913 loss=3.272584 lr=0.059006 Epoch[019] Batch [3499]/[3760] Speed: 117.583351 samples/sec accuracy=28.803571 loss=3.272230 lr=0.059044 Epoch[019] Batch [3549]/[3760] Speed: 117.655103 samples/sec accuracy=28.810299 loss=3.272828 lr=0.059083 Epoch[019] Batch [3599]/[3760] Speed: 117.633734 samples/sec accuracy=28.813802 loss=3.272378 lr=0.059122 Epoch[019] Batch [3649]/[3760] Speed: 117.639617 samples/sec accuracy=28.815068 loss=3.272512 lr=0.059161 Epoch[019] Batch [3699]/[3760] Speed: 117.991877 samples/sec accuracy=28.804054 loss=3.273349 lr=0.059199 Epoch[019] Batch [3749]/[3760] Speed: 120.878451 samples/sec accuracy=28.805833 loss=3.273990 lr=0.059238 Batch [0049]/[0303]: acc-top1=28.000000 acc-top5=54.656250 Batch [0099]/[0303]: acc-top1=27.093750 acc-top5=52.859375 Batch [0149]/[0303]: acc-top1=27.937500 acc-top5=54.750000 Batch [0199]/[0303]: acc-top1=30.882812 acc-top5=57.132812 Batch [0249]/[0303]: acc-top1=30.450000 acc-top5=57.231250 Batch [0299]/[0303]: acc-top1=29.906250 acc-top5=57.239583 [Epoch 019] training: accuracy=28.799867 loss=3.274255 [Epoch 019] speed: 117 samples/sec time cost: 2176.280480 [Epoch 019] validation: acc-top1=29.935025 acc-top5=57.245256 loss=3.227044 Epoch[020] Batch [0049]/[3759] Speed: 86.728801 samples/sec accuracy=29.625000 loss=3.168458 lr=0.059285 Epoch[020] Batch [0099]/[3759] Speed: 117.666564 samples/sec accuracy=29.390625 loss=3.198060 lr=0.059323 Epoch[020] Batch [0149]/[3759] Speed: 117.870307 samples/sec accuracy=29.010417 loss=3.198979 lr=0.059362 Epoch[020] Batch [0199]/[3759] Speed: 118.024923 samples/sec accuracy=28.929688 loss=3.212035 lr=0.059401 Epoch[020] Batch [0249]/[3759] Speed: 117.869592 samples/sec accuracy=29.143750 loss=3.213904 lr=0.059439 Epoch[020] Batch [0299]/[3759] Speed: 118.010136 samples/sec accuracy=28.916667 loss=3.226053 lr=0.059478 Epoch[020] Batch [0349]/[3759] Speed: 117.781650 samples/sec accuracy=28.776786 loss=3.237343 lr=0.059517 Epoch[020] Batch [0399]/[3759] Speed: 117.009375 samples/sec accuracy=28.679688 loss=3.243799 lr=0.059556 Epoch[020] Batch [0449]/[3759] Speed: 117.296284 samples/sec accuracy=28.809028 loss=3.239820 lr=0.059594 Epoch[020] Batch [0499]/[3759] Speed: 118.233817 samples/sec accuracy=28.765625 loss=3.246742 lr=0.059633 Epoch[020] Batch [0549]/[3759] Speed: 118.074503 samples/sec accuracy=28.721591 loss=3.249752 lr=0.059672 Epoch[020] Batch [0599]/[3759] Speed: 117.953044 samples/sec accuracy=28.734375 loss=3.255390 lr=0.059711 Epoch[020] Batch [0649]/[3759] Speed: 117.761730 samples/sec accuracy=28.740385 loss=3.255628 lr=0.059749 Epoch[020] Batch [0699]/[3759] Speed: 117.797563 samples/sec accuracy=28.716518 loss=3.259267 lr=0.059788 Epoch[020] Batch [0749]/[3759] Speed: 118.081303 samples/sec accuracy=28.785417 loss=3.257124 lr=0.059827 Epoch[020] Batch [0799]/[3759] Speed: 117.868976 samples/sec accuracy=28.839844 loss=3.254043 lr=0.059866 Epoch[020] Batch [0849]/[3759] Speed: 116.740948 samples/sec accuracy=28.858456 loss=3.250822 lr=0.059904 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loss=3.265475 lr=0.060640 Epoch[020] Batch [1849]/[3759] Speed: 116.550702 samples/sec accuracy=28.778716 loss=3.266426 lr=0.060679 Epoch[020] Batch [1899]/[3759] Speed: 117.734166 samples/sec accuracy=28.800987 loss=3.266013 lr=0.060718 Epoch[020] Batch [1949]/[3759] Speed: 117.435758 samples/sec accuracy=28.831731 loss=3.266288 lr=0.060756 Epoch[020] Batch [1999]/[3759] Speed: 116.624959 samples/sec accuracy=28.846094 loss=3.265829 lr=0.060795 Epoch[020] Batch [2049]/[3759] Speed: 117.606245 samples/sec accuracy=28.870427 loss=3.266177 lr=0.060834 Epoch[020] Batch [2099]/[3759] Speed: 117.509753 samples/sec accuracy=28.867560 loss=3.265971 lr=0.060873 Epoch[020] Batch [2149]/[3759] Speed: 118.197768 samples/sec accuracy=28.856105 loss=3.266244 lr=0.060911 Epoch[020] Batch [2199]/[3759] Speed: 117.838725 samples/sec accuracy=28.857244 loss=3.266527 lr=0.060950 Epoch[020] Batch [2249]/[3759] Speed: 117.741586 samples/sec accuracy=28.893056 loss=3.265812 lr=0.060989 Epoch[020] Batch 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accuracy=28.950568 loss=3.265562 lr=0.061376 Epoch[020] Batch [2799]/[3759] Speed: 117.448942 samples/sec accuracy=28.933036 loss=3.266256 lr=0.061415 Epoch[020] Batch [2849]/[3759] Speed: 117.014612 samples/sec accuracy=28.945724 loss=3.265853 lr=0.061453 Epoch[020] Batch [2899]/[3759] Speed: 117.565584 samples/sec accuracy=28.943966 loss=3.265597 lr=0.061492 Epoch[020] Batch [2949]/[3759] Speed: 117.282453 samples/sec accuracy=28.941208 loss=3.265753 lr=0.061531 Epoch[020] Batch [2999]/[3759] Speed: 117.430395 samples/sec accuracy=28.943229 loss=3.265068 lr=0.061570 Epoch[020] Batch [3049]/[3759] Speed: 117.106558 samples/sec accuracy=28.936475 loss=3.265686 lr=0.061608 Epoch[020] Batch [3099]/[3759] Speed: 117.686794 samples/sec accuracy=28.935484 loss=3.265395 lr=0.061647 Epoch[020] Batch [3149]/[3759] Speed: 117.674586 samples/sec accuracy=28.934524 loss=3.265741 lr=0.061686 Epoch[020] Batch [3199]/[3759] Speed: 117.999301 samples/sec accuracy=28.916992 loss=3.265729 lr=0.061725 Epoch[020] Batch [3249]/[3759] Speed: 117.112072 samples/sec accuracy=28.932692 loss=3.265889 lr=0.061763 Epoch[020] Batch [3299]/[3759] Speed: 116.936062 samples/sec accuracy=28.947917 loss=3.265718 lr=0.061802 Epoch[020] Batch [3349]/[3759] Speed: 117.735020 samples/sec accuracy=28.951959 loss=3.265618 lr=0.061841 Epoch[020] Batch [3399]/[3759] Speed: 117.497206 samples/sec accuracy=28.946232 loss=3.265913 lr=0.061880 Epoch[020] Batch [3449]/[3759] Speed: 118.182850 samples/sec accuracy=28.942935 loss=3.265994 lr=0.061918 Epoch[020] Batch [3499]/[3759] Speed: 117.440490 samples/sec accuracy=28.927679 loss=3.265739 lr=0.061957 Epoch[020] Batch [3549]/[3759] Speed: 117.554010 samples/sec accuracy=28.944102 loss=3.265379 lr=0.061996 Epoch[020] Batch [3599]/[3759] Speed: 116.942440 samples/sec accuracy=28.939670 loss=3.265532 lr=0.062034 Epoch[020] Batch [3649]/[3759] Speed: 116.947648 samples/sec accuracy=28.937500 loss=3.265550 lr=0.062073 Epoch[020] Batch [3699]/[3759] Speed: 117.812204 samples/sec accuracy=28.945101 loss=3.265229 lr=0.062112 Epoch[020] Batch [3749]/[3759] Speed: 120.875264 samples/sec accuracy=28.940000 loss=3.265834 lr=0.062151 Batch [0049]/[0303]: acc-top1=26.781250 acc-top5=54.687500 Batch [0099]/[0303]: acc-top1=26.187500 acc-top5=52.750000 Batch [0149]/[0303]: acc-top1=27.708333 acc-top5=54.156250 Batch [0199]/[0303]: acc-top1=29.812500 acc-top5=56.195313 Batch [0249]/[0303]: acc-top1=29.056250 acc-top5=56.275000 Batch [0299]/[0303]: acc-top1=28.645833 acc-top5=56.000000 [Epoch 020] training: accuracy=28.933476 loss=3.265928 [Epoch 020] speed: 116 samples/sec time cost: 2176.806476 [Epoch 020] validation: acc-top1=28.620050 acc-top5=55.981848 loss=3.299429 Epoch[021] Batch [0049]/[3760] Speed: 88.928245 samples/sec accuracy=29.437500 loss=3.207445 lr=0.062196 Epoch[021] Batch [0099]/[3760] Speed: 117.028628 samples/sec accuracy=29.578125 loss=3.227711 lr=0.062235 Epoch[021] Batch [0149]/[3760] Speed: 116.790292 samples/sec accuracy=29.031250 loss=3.243746 lr=0.062274 Epoch[021] Batch [0199]/[3760] Speed: 117.189407 samples/sec accuracy=29.343750 loss=3.237076 lr=0.062313 Epoch[021] Batch [0249]/[3760] Speed: 117.637381 samples/sec accuracy=29.468750 loss=3.237012 lr=0.062351 Epoch[021] Batch [0299]/[3760] Speed: 117.805236 samples/sec accuracy=29.401042 loss=3.245127 lr=0.062390 Epoch[021] Batch [0349]/[3760] Speed: 116.665938 samples/sec accuracy=29.285714 loss=3.247315 lr=0.062429 Epoch[021] Batch [0399]/[3760] Speed: 117.832873 samples/sec accuracy=29.367188 loss=3.241144 lr=0.062467 Epoch[021] Batch [0449]/[3760] Speed: 117.894491 samples/sec accuracy=29.381944 loss=3.243318 lr=0.062506 Epoch[021] Batch [0499]/[3760] Speed: 117.437942 samples/sec accuracy=29.428125 loss=3.241331 lr=0.062545 Epoch[021] Batch [0549]/[3760] Speed: 117.611991 samples/sec accuracy=29.343750 loss=3.245957 lr=0.062584 Epoch[021] Batch [0599]/[3760] Speed: 117.663902 samples/sec accuracy=29.398438 loss=3.241656 lr=0.062622 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accuracy=29.100000 loss=3.257743 lr=0.064094 Epoch[021] Batch [2549]/[3760] Speed: 118.934129 samples/sec accuracy=29.095588 loss=3.257922 lr=0.064133 Epoch[021] Batch [2599]/[3760] Speed: 117.170020 samples/sec accuracy=29.100361 loss=3.257665 lr=0.064172 Epoch[021] Batch [2649]/[3760] Speed: 117.149398 samples/sec accuracy=29.098467 loss=3.257438 lr=0.064210 Epoch[021] Batch [2699]/[3760] Speed: 117.860566 samples/sec accuracy=29.093750 loss=3.257265 lr=0.064249 Epoch[021] Batch [2749]/[3760] Speed: 117.828332 samples/sec accuracy=29.090909 loss=3.257630 lr=0.064288 Epoch[021] Batch [2799]/[3760] Speed: 118.164646 samples/sec accuracy=29.089844 loss=3.258383 lr=0.064327 Epoch[021] Batch [2849]/[3760] Speed: 117.201992 samples/sec accuracy=29.087171 loss=3.258878 lr=0.064365 Epoch[021] Batch [2899]/[3760] Speed: 117.296617 samples/sec accuracy=29.077047 loss=3.260612 lr=0.064404 Epoch[021] Batch [2949]/[3760] Speed: 117.368486 samples/sec accuracy=29.070975 loss=3.260408 lr=0.064443 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Batch [0299]/[0303]: acc-top1=28.098958 acc-top5=54.989583 [Epoch 021] training: accuracy=29.041307 loss=3.260012 [Epoch 021] speed: 116 samples/sec time cost: 2177.306501 [Epoch 021] validation: acc-top1=28.243606 acc-top5=55.110355 loss=3.416849 Epoch[022] Batch [0049]/[3760] Speed: 86.547879 samples/sec accuracy=30.406250 loss=3.249706 lr=0.065109 Epoch[022] Batch [0099]/[3760] Speed: 117.303328 samples/sec accuracy=30.328125 loss=3.225940 lr=0.065148 Epoch[022] Batch [0149]/[3760] Speed: 116.880136 samples/sec accuracy=29.989583 loss=3.236050 lr=0.065186 Epoch[022] Batch [0199]/[3760] Speed: 117.171999 samples/sec accuracy=29.867187 loss=3.228094 lr=0.065225 Epoch[022] Batch [0249]/[3760] Speed: 118.211578 samples/sec accuracy=29.687500 loss=3.235393 lr=0.065264 Epoch[022] Batch [0299]/[3760] Speed: 116.927302 samples/sec accuracy=29.677083 loss=3.232831 lr=0.065303 Epoch[022] Batch [0349]/[3760] Speed: 117.300870 samples/sec accuracy=29.562500 loss=3.231063 lr=0.065341 Epoch[022] 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lr=0.066077 Epoch[022] Batch [1349]/[3760] Speed: 116.840858 samples/sec accuracy=29.427083 loss=3.248769 lr=0.066116 Epoch[022] Batch [1399]/[3760] Speed: 117.572323 samples/sec accuracy=29.393973 loss=3.249486 lr=0.066155 Epoch[022] Batch [1449]/[3760] Speed: 117.899948 samples/sec accuracy=29.431034 loss=3.247996 lr=0.066193 Epoch[022] Batch [1499]/[3760] Speed: 117.639538 samples/sec accuracy=29.440625 loss=3.247474 lr=0.066232 Epoch[022] Batch [1549]/[3760] Speed: 117.614587 samples/sec accuracy=29.420363 loss=3.247935 lr=0.066271 Epoch[022] Batch [1599]/[3760] Speed: 117.439942 samples/sec accuracy=29.418945 loss=3.249303 lr=0.066310 Epoch[022] Batch [1649]/[3760] Speed: 117.040239 samples/sec accuracy=29.384470 loss=3.250951 lr=0.066348 Epoch[022] Batch [1699]/[3760] Speed: 117.682970 samples/sec accuracy=29.423713 loss=3.249492 lr=0.066387 Epoch[022] Batch [1749]/[3760] Speed: 116.468178 samples/sec accuracy=29.408036 loss=3.250884 lr=0.066426 Epoch[022] Batch [1799]/[3760] 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accuracy=29.367361 loss=3.251618 lr=0.066813 Epoch[022] Batch [2299]/[3760] Speed: 117.574129 samples/sec accuracy=29.363451 loss=3.251962 lr=0.066852 Epoch[022] Batch [2349]/[3760] Speed: 117.176062 samples/sec accuracy=29.375000 loss=3.251721 lr=0.066891 Epoch[022] Batch [2399]/[3760] Speed: 117.492505 samples/sec accuracy=29.362630 loss=3.252745 lr=0.066929 Epoch[022] Batch [2449]/[3760] Speed: 117.421814 samples/sec accuracy=29.373087 loss=3.251194 lr=0.066968 Epoch[022] Batch [2499]/[3760] Speed: 117.945228 samples/sec accuracy=29.370625 loss=3.251261 lr=0.067007 Epoch[022] Batch [2549]/[3760] Speed: 117.434201 samples/sec accuracy=29.367034 loss=3.251869 lr=0.067045 Epoch[022] Batch [2599]/[3760] Speed: 117.207442 samples/sec accuracy=29.353966 loss=3.253974 lr=0.067084 Epoch[022] Batch [2649]/[3760] Speed: 117.757727 samples/sec accuracy=29.346108 loss=3.253789 lr=0.067123 Epoch[022] Batch [2699]/[3760] Speed: 117.105896 samples/sec accuracy=29.336227 loss=3.254520 lr=0.067162 Epoch[022] Batch [2749]/[3760] Speed: 117.302560 samples/sec accuracy=29.349432 loss=3.253444 lr=0.067200 Epoch[022] Batch [2799]/[3760] Speed: 117.655788 samples/sec accuracy=29.333705 loss=3.254133 lr=0.067239 Epoch[022] Batch [2849]/[3760] Speed: 116.585470 samples/sec accuracy=29.317434 loss=3.254335 lr=0.067278 Epoch[022] Batch [2899]/[3760] Speed: 117.465718 samples/sec accuracy=29.286099 loss=3.255754 lr=0.067317 Epoch[022] Batch [2949]/[3760] Speed: 117.890505 samples/sec accuracy=29.279661 loss=3.255837 lr=0.067355 Epoch[022] Batch [2999]/[3760] Speed: 117.206649 samples/sec accuracy=29.271354 loss=3.255778 lr=0.067394 Epoch[022] Batch [3049]/[3760] Speed: 117.580230 samples/sec accuracy=29.267930 loss=3.255993 lr=0.067433 Epoch[022] Batch [3099]/[3760] Speed: 117.061555 samples/sec accuracy=29.277722 loss=3.255961 lr=0.067471 Epoch[022] Batch [3149]/[3760] Speed: 117.222404 samples/sec accuracy=29.269841 loss=3.256697 lr=0.067510 Epoch[022] Batch [3199]/[3760] Speed: 117.395920 samples/sec accuracy=29.244629 loss=3.257170 lr=0.067549 Epoch[022] Batch [3249]/[3760] Speed: 117.539807 samples/sec accuracy=29.247115 loss=3.256858 lr=0.067588 Epoch[022] Batch [3299]/[3760] Speed: 117.298962 samples/sec accuracy=29.261364 loss=3.256222 lr=0.067626 Epoch[022] Batch [3349]/[3760] Speed: 117.653044 samples/sec accuracy=29.270056 loss=3.255485 lr=0.067665 Epoch[022] Batch [3399]/[3760] Speed: 117.075979 samples/sec accuracy=29.247243 loss=3.255574 lr=0.067704 Epoch[022] Batch [3449]/[3760] Speed: 116.920962 samples/sec accuracy=29.244112 loss=3.255600 lr=0.067743 Epoch[022] Batch [3499]/[3760] Speed: 117.433329 samples/sec accuracy=29.261161 loss=3.254693 lr=0.067781 Epoch[022] Batch [3549]/[3760] Speed: 117.851316 samples/sec accuracy=29.264965 loss=3.254257 lr=0.067820 Epoch[022] Batch [3599]/[3760] Speed: 117.986626 samples/sec accuracy=29.260851 loss=3.254177 lr=0.067859 Epoch[022] Batch [3649]/[3760] Speed: 117.936923 samples/sec accuracy=29.249144 loss=3.254790 lr=0.067898 Epoch[022] Batch [3699]/[3760] Speed: 117.377800 samples/sec accuracy=29.262669 loss=3.254766 lr=0.067936 Epoch[022] Batch [3749]/[3760] Speed: 120.596178 samples/sec accuracy=29.279583 loss=3.254928 lr=0.067975 Batch [0049]/[0303]: acc-top1=28.125000 acc-top5=55.781250 Batch [0099]/[0303]: acc-top1=27.640625 acc-top5=54.578125 Batch [0149]/[0303]: acc-top1=28.604167 acc-top5=55.166667 Batch [0199]/[0303]: acc-top1=30.164062 acc-top5=55.765625 Batch [0249]/[0303]: acc-top1=29.768750 acc-top5=55.593750 Batch [0299]/[0303]: acc-top1=28.890625 acc-top5=55.406250 [Epoch 022] training: accuracy=29.280668 loss=3.255220 [Epoch 022] speed: 116 samples/sec time cost: 2178.031094 [Epoch 022] validation: acc-top1=29.011964 acc-top5=55.517739 loss=3.476618 Epoch[023] Batch [0049]/[3759] Speed: 86.952307 samples/sec accuracy=30.875000 loss=3.185671 lr=0.068021 Epoch[023] Batch [0099]/[3759] Speed: 117.774203 samples/sec accuracy=30.281250 loss=3.198768 lr=0.068060 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loss=3.246218 lr=0.070616 Epoch[023] Batch [3449]/[3759] Speed: 117.439100 samples/sec accuracy=29.357790 loss=3.246062 lr=0.070655 Epoch[023] Batch [3499]/[3759] Speed: 117.408094 samples/sec accuracy=29.338839 loss=3.246934 lr=0.070694 Epoch[023] Batch [3549]/[3759] Speed: 117.711440 samples/sec accuracy=29.351232 loss=3.247030 lr=0.070733 Epoch[023] Batch [3599]/[3759] Speed: 117.232005 samples/sec accuracy=29.343316 loss=3.247109 lr=0.070771 Epoch[023] Batch [3649]/[3759] Speed: 117.131220 samples/sec accuracy=29.348459 loss=3.247136 lr=0.070810 Epoch[023] Batch [3699]/[3759] Speed: 117.133994 samples/sec accuracy=29.335304 loss=3.247753 lr=0.070849 Epoch[023] Batch [3749]/[3759] Speed: 120.295480 samples/sec accuracy=29.342500 loss=3.247883 lr=0.070888 Batch [0049]/[0303]: acc-top1=31.468750 acc-top5=55.968750 Batch [0099]/[0303]: acc-top1=28.578125 acc-top5=53.953125 Batch [0149]/[0303]: acc-top1=29.895833 acc-top5=54.927083 Batch [0199]/[0303]: acc-top1=31.796875 acc-top5=57.148438 Batch [0249]/[0303]: acc-top1=30.712500 acc-top5=56.681250 Batch [0299]/[0303]: acc-top1=30.479167 acc-top5=57.010417 [Epoch 023] training: accuracy=29.344157 loss=3.247924 [Epoch 023] speed: 116 samples/sec time cost: 2179.905723 [Epoch 023] validation: acc-top1=30.404290 acc-top5=56.961634 loss=3.274981 Epoch[024] Batch [0049]/[3760] Speed: 86.995256 samples/sec accuracy=30.343750 loss=3.193202 lr=0.070933 Epoch[024] Batch [0099]/[3760] Speed: 117.323395 samples/sec accuracy=30.046875 loss=3.192946 lr=0.070972 Epoch[024] Batch [0149]/[3760] Speed: 117.643449 samples/sec accuracy=29.812500 loss=3.206385 lr=0.071011 Epoch[024] Batch [0199]/[3760] Speed: 117.154043 samples/sec accuracy=29.875000 loss=3.212578 lr=0.071049 Epoch[024] Batch [0249]/[3760] Speed: 117.822116 samples/sec accuracy=30.106250 loss=3.206889 lr=0.071088 Epoch[024] Batch [0299]/[3760] Speed: 117.239589 samples/sec accuracy=29.927083 loss=3.219145 lr=0.071127 Epoch[024] Batch [0349]/[3760] Speed: 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accuracy=29.373214 loss=3.255018 lr=0.072250 Epoch[024] Batch [1799]/[3760] Speed: 117.179829 samples/sec accuracy=29.383681 loss=3.254153 lr=0.072289 Epoch[024] Batch [1849]/[3760] Speed: 117.325660 samples/sec accuracy=29.433277 loss=3.252040 lr=0.072328 Epoch[024] Batch [1899]/[3760] Speed: 117.834782 samples/sec accuracy=29.443257 loss=3.251883 lr=0.072366 Epoch[024] Batch [1949]/[3760] Speed: 117.620220 samples/sec accuracy=29.447917 loss=3.252434 lr=0.072405 Epoch[024] Batch [1999]/[3760] Speed: 117.000804 samples/sec accuracy=29.439844 loss=3.250911 lr=0.072444 Epoch[024] Batch [2049]/[3760] Speed: 117.230981 samples/sec accuracy=29.439787 loss=3.251109 lr=0.072482 Epoch[024] Batch [2099]/[3760] Speed: 117.556554 samples/sec accuracy=29.403274 loss=3.252945 lr=0.072521 Epoch[024] Batch [2149]/[3760] Speed: 117.609551 samples/sec accuracy=29.419331 loss=3.252464 lr=0.072560 Epoch[024] Batch [2199]/[3760] Speed: 117.708239 samples/sec accuracy=29.419744 loss=3.252040 lr=0.072599 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loss=3.251205 lr=0.073335 Epoch[024] Batch [3199]/[3760] Speed: 117.810748 samples/sec accuracy=29.441406 loss=3.250467 lr=0.073373 Epoch[024] Batch [3249]/[3760] Speed: 117.518625 samples/sec accuracy=29.443269 loss=3.250190 lr=0.073412 Epoch[024] Batch [3299]/[3760] Speed: 117.137907 samples/sec accuracy=29.459754 loss=3.249299 lr=0.073451 Epoch[024] Batch [3349]/[3760] Speed: 118.393011 samples/sec accuracy=29.447761 loss=3.249548 lr=0.073489 Epoch[024] Batch [3399]/[3760] Speed: 117.669265 samples/sec accuracy=29.452206 loss=3.249236 lr=0.073528 Epoch[024] Batch [3449]/[3760] Speed: 117.624517 samples/sec accuracy=29.435688 loss=3.250621 lr=0.073567 Epoch[024] Batch [3499]/[3760] Speed: 117.719290 samples/sec accuracy=29.437946 loss=3.250286 lr=0.073606 Epoch[024] Batch [3549]/[3760] Speed: 118.207974 samples/sec accuracy=29.436620 loss=3.250745 lr=0.073644 Epoch[024] Batch [3599]/[3760] Speed: 117.540251 samples/sec accuracy=29.438802 loss=3.250936 lr=0.073683 Epoch[024] Batch [3649]/[3760] Speed: 117.000475 samples/sec accuracy=29.433647 loss=3.251216 lr=0.073722 Epoch[024] Batch [3699]/[3760] Speed: 117.112934 samples/sec accuracy=29.432432 loss=3.252093 lr=0.073761 Epoch[024] Batch [3749]/[3760] Speed: 120.475075 samples/sec accuracy=29.433333 loss=3.252515 lr=0.073799 Batch [0049]/[0303]: acc-top1=27.687500 acc-top5=53.718750 Batch [0099]/[0303]: acc-top1=26.953125 acc-top5=53.625000 Batch [0149]/[0303]: acc-top1=27.760417 acc-top5=54.729167 Batch [0199]/[0303]: acc-top1=30.335938 acc-top5=56.515625 Batch [0249]/[0303]: acc-top1=29.962500 acc-top5=56.281250 Batch [0299]/[0303]: acc-top1=29.354167 acc-top5=56.401042 [Epoch 024] training: accuracy=29.441489 loss=3.252359 [Epoch 024] speed: 116 samples/sec time cost: 2177.888368 [Epoch 024] validation: acc-top1=29.398721 acc-top5=56.430487 loss=3.349370 Epoch[025] Batch [0049]/[3760] Speed: 87.652667 samples/sec accuracy=31.062500 loss=3.193035 lr=0.073846 Epoch[025] Batch [0099]/[3760] Speed: 117.027972 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accuracy=29.396875 loss=3.238676 lr=0.074969 Epoch[025] Batch [1549]/[3760] Speed: 116.967124 samples/sec accuracy=29.407258 loss=3.238909 lr=0.075008 Epoch[025] Batch [1599]/[3760] Speed: 117.485419 samples/sec accuracy=29.392578 loss=3.238751 lr=0.075046 Epoch[025] Batch [1649]/[3760] Speed: 117.044196 samples/sec accuracy=29.368371 loss=3.241013 lr=0.075085 Epoch[025] Batch [1699]/[3760] Speed: 116.902758 samples/sec accuracy=29.370404 loss=3.242138 lr=0.075124 Epoch[025] Batch [1749]/[3760] Speed: 117.469869 samples/sec accuracy=29.384821 loss=3.241283 lr=0.075163 Epoch[025] Batch [1799]/[3760] Speed: 116.969035 samples/sec accuracy=29.389757 loss=3.240956 lr=0.075201 Epoch[025] Batch [1849]/[3760] Speed: 117.551450 samples/sec accuracy=29.440034 loss=3.239996 lr=0.075240 Epoch[025] Batch [1899]/[3760] Speed: 116.659332 samples/sec accuracy=29.458059 loss=3.239839 lr=0.075279 Epoch[025] Batch [1949]/[3760] Speed: 117.104328 samples/sec accuracy=29.479968 loss=3.240537 lr=0.075318 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loss=3.245447 lr=0.076053 Epoch[025] Batch [2949]/[3760] Speed: 117.514663 samples/sec accuracy=29.387712 loss=3.245704 lr=0.076092 Epoch[025] Batch [2999]/[3760] Speed: 116.810879 samples/sec accuracy=29.394792 loss=3.245813 lr=0.076131 Epoch[025] Batch [3049]/[3760] Speed: 117.062410 samples/sec accuracy=29.380123 loss=3.246911 lr=0.076170 Epoch[025] Batch [3099]/[3760] Speed: 116.822737 samples/sec accuracy=29.351310 loss=3.248554 lr=0.076208 Epoch[025] Batch [3149]/[3760] Speed: 116.871456 samples/sec accuracy=29.339782 loss=3.248790 lr=0.076247 Epoch[025] Batch [3199]/[3760] Speed: 117.342474 samples/sec accuracy=29.335449 loss=3.248835 lr=0.076286 Epoch[025] Batch [3249]/[3760] Speed: 117.671937 samples/sec accuracy=29.340865 loss=3.247733 lr=0.076325 Epoch[025] Batch [3299]/[3760] Speed: 117.596536 samples/sec accuracy=29.319602 loss=3.247692 lr=0.076363 Epoch[025] Batch [3349]/[3760] Speed: 117.207696 samples/sec accuracy=29.320429 loss=3.247914 lr=0.076402 Epoch[025] Batch 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acc-top5=55.395833 Batch [0199]/[0303]: acc-top1=31.265625 acc-top5=56.968750 Batch [0249]/[0303]: acc-top1=30.537500 acc-top5=56.631250 Batch [0299]/[0303]: acc-top1=29.765625 acc-top5=56.421875 [Epoch 025] training: accuracy=29.238281 loss=3.252568 [Epoch 025] speed: 116 samples/sec time cost: 2179.541485 [Epoch 025] validation: acc-top1=29.666873 acc-top5=56.327351 loss=3.274901 Epoch[026] Batch [0049]/[3759] Speed: 86.718207 samples/sec accuracy=29.531250 loss=3.211357 lr=0.076758 Epoch[026] Batch [0099]/[3759] Speed: 118.215786 samples/sec accuracy=29.921875 loss=3.188262 lr=0.076797 Epoch[026] Batch [0149]/[3759] Speed: 116.711700 samples/sec accuracy=29.281250 loss=3.203169 lr=0.076836 Epoch[026] Batch [0199]/[3759] Speed: 117.266432 samples/sec accuracy=28.976563 loss=3.222393 lr=0.076875 Epoch[026] Batch [0249]/[3759] Speed: 117.381229 samples/sec accuracy=29.262500 loss=3.221224 lr=0.076913 Epoch[026] Batch [0299]/[3759] Speed: 118.441147 samples/sec accuracy=29.317708 loss=3.226183 lr=0.076952 Epoch[026] Batch [0349]/[3759] Speed: 117.475650 samples/sec accuracy=29.245536 loss=3.241012 lr=0.076991 Epoch[026] Batch [0399]/[3759] Speed: 117.634545 samples/sec accuracy=29.160156 loss=3.242853 lr=0.077029 Epoch[026] Batch [0449]/[3759] Speed: 117.278100 samples/sec accuracy=29.385417 loss=3.232996 lr=0.077068 Epoch[026] Batch [0499]/[3759] Speed: 117.231552 samples/sec accuracy=29.400000 loss=3.239686 lr=0.077107 Epoch[026] Batch [0549]/[3759] Speed: 117.865048 samples/sec accuracy=29.392045 loss=3.238556 lr=0.077146 Epoch[026] Batch [0599]/[3759] Speed: 117.855802 samples/sec accuracy=29.424479 loss=3.237088 lr=0.077184 Epoch[026] Batch [0649]/[3759] Speed: 117.376522 samples/sec accuracy=29.413462 loss=3.237389 lr=0.077223 Epoch[026] Batch [0699]/[3759] Speed: 117.387049 samples/sec accuracy=29.345982 loss=3.243112 lr=0.077262 Epoch[026] Batch [0749]/[3759] Speed: 117.100681 samples/sec accuracy=29.287500 loss=3.246487 lr=0.077301 Epoch[026] Batch 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accuracy=29.316250 loss=3.244487 lr=0.077688 Epoch[026] Batch [1299]/[3759] Speed: 117.845498 samples/sec accuracy=29.334135 loss=3.242811 lr=0.077727 Epoch[026] Batch [1349]/[3759] Speed: 117.940520 samples/sec accuracy=29.342593 loss=3.243611 lr=0.077765 Epoch[026] Batch [1399]/[3759] Speed: 117.325445 samples/sec accuracy=29.361607 loss=3.242727 lr=0.077804 Epoch[026] Batch [1449]/[3759] Speed: 117.706923 samples/sec accuracy=29.368534 loss=3.243683 lr=0.077843 Epoch[026] Batch [1499]/[3759] Speed: 117.875075 samples/sec accuracy=29.342708 loss=3.245396 lr=0.077882 Epoch[026] Batch [1549]/[3759] Speed: 117.390181 samples/sec accuracy=29.355847 loss=3.245036 lr=0.077920 Epoch[026] Batch [1599]/[3759] Speed: 115.746859 samples/sec accuracy=29.360352 loss=3.243979 lr=0.077959 Epoch[026] Batch [1649]/[3759] Speed: 116.967212 samples/sec accuracy=29.358902 loss=3.244278 lr=0.077998 Epoch[026] Batch [1699]/[3759] Speed: 116.825453 samples/sec accuracy=29.362132 loss=3.244165 lr=0.078036 Epoch[026] Batch [1749]/[3759] Speed: 117.482393 samples/sec accuracy=29.366071 loss=3.244214 lr=0.078075 Epoch[026] Batch [1799]/[3759] Speed: 117.640682 samples/sec accuracy=29.354167 loss=3.245087 lr=0.078114 Epoch[026] Batch [1849]/[3759] Speed: 116.724970 samples/sec accuracy=29.332770 loss=3.245898 lr=0.078153 Epoch[026] Batch [1899]/[3759] Speed: 118.148126 samples/sec accuracy=29.315789 loss=3.246399 lr=0.078191 Epoch[026] Batch [1949]/[3759] Speed: 117.200361 samples/sec accuracy=29.323718 loss=3.246755 lr=0.078230 Epoch[026] Batch [1999]/[3759] Speed: 117.183911 samples/sec accuracy=29.321875 loss=3.246999 lr=0.078269 Epoch[026] Batch [2049]/[3759] Speed: 117.895925 samples/sec accuracy=29.289634 loss=3.247457 lr=0.078308 Epoch[026] Batch [2099]/[3759] Speed: 117.642262 samples/sec accuracy=29.298363 loss=3.248249 lr=0.078346 Epoch[026] Batch [2149]/[3759] Speed: 117.398221 samples/sec accuracy=29.258721 loss=3.249530 lr=0.078385 Epoch[026] Batch [2199]/[3759] Speed: 118.259995 samples/sec accuracy=29.269886 loss=3.250222 lr=0.078424 Epoch[026] Batch [2249]/[3759] Speed: 117.285247 samples/sec accuracy=29.263889 loss=3.250953 lr=0.078463 Epoch[026] Batch [2299]/[3759] Speed: 117.339969 samples/sec accuracy=29.262908 loss=3.250805 lr=0.078501 Epoch[026] Batch [2349]/[3759] Speed: 117.491227 samples/sec accuracy=29.287899 loss=3.250791 lr=0.078540 Epoch[026] Batch [2399]/[3759] Speed: 117.439396 samples/sec accuracy=29.283203 loss=3.251792 lr=0.078579 Epoch[026] Batch [2449]/[3759] Speed: 117.473396 samples/sec accuracy=29.278699 loss=3.252111 lr=0.078617 Epoch[026] Batch [2499]/[3759] Speed: 116.866389 samples/sec accuracy=29.292500 loss=3.252345 lr=0.078656 Epoch[026] Batch [2549]/[3759] Speed: 117.429221 samples/sec accuracy=29.294730 loss=3.251742 lr=0.078695 Epoch[026] Batch [2599]/[3759] Speed: 116.933759 samples/sec accuracy=29.317308 loss=3.251180 lr=0.078734 Epoch[026] Batch [2649]/[3759] Speed: 117.145512 samples/sec accuracy=29.330778 loss=3.249917 lr=0.078772 Epoch[026] Batch [2699]/[3759] Speed: 118.085967 samples/sec accuracy=29.312500 loss=3.251311 lr=0.078811 Epoch[026] Batch [2749]/[3759] Speed: 117.382995 samples/sec accuracy=29.309659 loss=3.251459 lr=0.078850 Epoch[026] Batch [2799]/[3759] Speed: 118.160838 samples/sec accuracy=29.312500 loss=3.251944 lr=0.078889 Epoch[026] Batch [2849]/[3759] Speed: 117.204071 samples/sec accuracy=29.328947 loss=3.251755 lr=0.078927 Epoch[026] Batch [2899]/[3759] Speed: 118.118717 samples/sec accuracy=29.335129 loss=3.251698 lr=0.078966 Epoch[026] Batch [2949]/[3759] Speed: 116.947009 samples/sec accuracy=29.336335 loss=3.251685 lr=0.079005 Epoch[026] Batch [2999]/[3759] Speed: 117.501096 samples/sec accuracy=29.348958 loss=3.251260 lr=0.079043 Epoch[026] Batch [3049]/[3759] Speed: 117.921146 samples/sec accuracy=29.345287 loss=3.251975 lr=0.079082 Epoch[026] Batch [3099]/[3759] Speed: 117.424255 samples/sec accuracy=29.348286 loss=3.252177 lr=0.079121 Epoch[026] Batch [3149]/[3759] Speed: 117.379832 samples/sec accuracy=29.349206 loss=3.252091 lr=0.079160 Epoch[026] Batch [3199]/[3759] Speed: 117.175433 samples/sec accuracy=29.351562 loss=3.252111 lr=0.079198 Epoch[026] Batch [3249]/[3759] Speed: 117.508827 samples/sec accuracy=29.362981 loss=3.251783 lr=0.079237 Epoch[026] Batch [3299]/[3759] Speed: 117.358390 samples/sec accuracy=29.350852 loss=3.252029 lr=0.079276 Epoch[026] Batch [3349]/[3759] Speed: 117.848863 samples/sec accuracy=29.354011 loss=3.251876 lr=0.079315 Epoch[026] Batch [3399]/[3759] Speed: 117.660644 samples/sec accuracy=29.373621 loss=3.251752 lr=0.079353 Epoch[026] Batch [3449]/[3759] Speed: 117.555745 samples/sec accuracy=29.374547 loss=3.252775 lr=0.079392 Epoch[026] Batch [3499]/[3759] Speed: 117.892826 samples/sec accuracy=29.368304 loss=3.252833 lr=0.079431 Epoch[026] Batch [3549]/[3759] Speed: 117.540280 samples/sec accuracy=29.383363 loss=3.253235 lr=0.079470 Epoch[026] Batch [3599]/[3759] Speed: 117.086101 samples/sec accuracy=29.362847 loss=3.253793 lr=0.079508 Epoch[026] Batch [3649]/[3759] Speed: 117.375671 samples/sec accuracy=29.354024 loss=3.254410 lr=0.079547 Epoch[026] Batch [3699]/[3759] Speed: 117.214845 samples/sec accuracy=29.327280 loss=3.255255 lr=0.079586 Epoch[026] Batch [3749]/[3759] Speed: 119.448104 samples/sec accuracy=29.332083 loss=3.255129 lr=0.079624 Batch [0049]/[0303]: acc-top1=27.531250 acc-top5=54.375000 Batch [0099]/[0303]: acc-top1=26.718750 acc-top5=53.515625 Batch [0149]/[0303]: acc-top1=28.010417 acc-top5=54.895833 Batch [0199]/[0303]: acc-top1=30.851562 acc-top5=57.085937 Batch [0249]/[0303]: acc-top1=30.393750 acc-top5=56.875000 Batch [0299]/[0303]: acc-top1=29.942708 acc-top5=56.984375 [Epoch 026] training: accuracy=29.333766 loss=3.255221 [Epoch 026] speed: 116 samples/sec time cost: 2178.394973 [Epoch 026] validation: acc-top1=29.883457 acc-top5=56.915223 loss=3.291931 Epoch[027] Batch [0049]/[3760] Speed: 86.846662 samples/sec accuracy=29.312500 loss=3.249164 lr=0.079670 Epoch[027] Batch [0099]/[3760] Speed: 118.796303 samples/sec accuracy=29.500000 loss=3.240174 lr=0.079709 Epoch[027] Batch [0149]/[3760] Speed: 118.010375 samples/sec accuracy=29.937500 loss=3.226227 lr=0.079748 Epoch[027] Batch [0199]/[3760] Speed: 117.536817 samples/sec accuracy=30.117187 loss=3.210691 lr=0.079786 Epoch[027] Batch [0249]/[3760] Speed: 117.492509 samples/sec accuracy=29.575000 loss=3.227838 lr=0.079825 Epoch[027] Batch [0299]/[3760] Speed: 118.354029 samples/sec accuracy=29.468750 loss=3.232829 lr=0.079864 Epoch[027] Batch [0349]/[3760] Speed: 118.227549 samples/sec accuracy=29.584821 loss=3.227882 lr=0.079903 Epoch[027] Batch [0399]/[3760] Speed: 117.320438 samples/sec accuracy=29.652344 loss=3.225056 lr=0.079941 Epoch[027] Batch [0449]/[3760] Speed: 117.466389 samples/sec accuracy=29.534722 loss=3.233702 lr=0.079980 Epoch[027] Batch [0499]/[3760] Speed: 117.179515 samples/sec accuracy=29.559375 loss=3.232481 lr=0.080019 Epoch[027] Batch [0549]/[3760] 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accuracy=29.423437 loss=3.242789 lr=0.080406 Epoch[027] Batch [1049]/[3760] Speed: 117.960156 samples/sec accuracy=29.413690 loss=3.245906 lr=0.080445 Epoch[027] Batch [1099]/[3760] Speed: 117.743299 samples/sec accuracy=29.411932 loss=3.248053 lr=0.080484 Epoch[027] Batch [1149]/[3760] Speed: 117.563343 samples/sec accuracy=29.398098 loss=3.249849 lr=0.080522 Epoch[027] Batch [1199]/[3760] Speed: 117.413388 samples/sec accuracy=29.391927 loss=3.250485 lr=0.080561 Epoch[027] Batch [1249]/[3760] Speed: 117.524064 samples/sec accuracy=29.410000 loss=3.251229 lr=0.080600 Epoch[027] Batch [1299]/[3760] Speed: 117.671358 samples/sec accuracy=29.417067 loss=3.250543 lr=0.080638 Epoch[027] Batch [1349]/[3760] Speed: 118.138657 samples/sec accuracy=29.415509 loss=3.250813 lr=0.080677 Epoch[027] Batch [1399]/[3760] Speed: 117.735060 samples/sec accuracy=29.421875 loss=3.249124 lr=0.080716 Epoch[027] Batch [1449]/[3760] Speed: 117.683950 samples/sec accuracy=29.385776 loss=3.249899 lr=0.080755 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loss=3.254189 lr=0.081491 Epoch[027] Batch [2449]/[3760] Speed: 117.134829 samples/sec accuracy=29.358418 loss=3.253951 lr=0.081529 Epoch[027] Batch [2499]/[3760] Speed: 117.973618 samples/sec accuracy=29.350000 loss=3.254369 lr=0.081568 Epoch[027] Batch [2549]/[3760] Speed: 117.320502 samples/sec accuracy=29.367647 loss=3.254030 lr=0.081607 Epoch[027] Batch [2599]/[3760] Speed: 117.964742 samples/sec accuracy=29.343750 loss=3.254409 lr=0.081645 Epoch[027] Batch [2649]/[3760] Speed: 118.100957 samples/sec accuracy=29.325472 loss=3.254835 lr=0.081684 Epoch[027] Batch [2699]/[3760] Speed: 118.127511 samples/sec accuracy=29.322917 loss=3.255196 lr=0.081723 Epoch[027] Batch [2749]/[3760] Speed: 118.117884 samples/sec accuracy=29.325568 loss=3.254699 lr=0.081762 Epoch[027] Batch [2799]/[3760] Speed: 117.936002 samples/sec accuracy=29.334263 loss=3.254088 lr=0.081800 Epoch[027] Batch [2849]/[3760] Speed: 117.952834 samples/sec accuracy=29.326206 loss=3.255057 lr=0.081839 Epoch[027] Batch 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accuracy=29.290578 loss=3.257088 lr=0.082226 Epoch[027] Batch [3399]/[3760] Speed: 117.812506 samples/sec accuracy=29.280331 loss=3.257355 lr=0.082265 Epoch[027] Batch [3449]/[3760] Speed: 117.586774 samples/sec accuracy=29.284420 loss=3.257129 lr=0.082304 Epoch[027] Batch [3499]/[3760] Speed: 117.559497 samples/sec accuracy=29.289286 loss=3.256960 lr=0.082343 Epoch[027] Batch [3549]/[3760] Speed: 117.982085 samples/sec accuracy=29.299736 loss=3.256729 lr=0.082381 Epoch[027] Batch [3599]/[3760] Speed: 117.240226 samples/sec accuracy=29.291233 loss=3.257009 lr=0.082420 Epoch[027] Batch [3649]/[3760] Speed: 118.361060 samples/sec accuracy=29.278682 loss=3.258284 lr=0.082459 Epoch[027] Batch [3699]/[3760] Speed: 117.748622 samples/sec accuracy=29.287584 loss=3.257999 lr=0.082498 Epoch[027] Batch [3749]/[3760] Speed: 120.615891 samples/sec accuracy=29.290833 loss=3.257731 lr=0.082536 Batch [0049]/[0303]: acc-top1=28.250000 acc-top5=54.968750 Batch [0099]/[0303]: acc-top1=27.968750 acc-top5=53.625000 Batch [0149]/[0303]: acc-top1=29.093750 acc-top5=54.625000 Batch [0199]/[0303]: acc-top1=32.085938 acc-top5=57.656250 Batch [0249]/[0303]: acc-top1=30.981250 acc-top5=56.868750 Batch [0299]/[0303]: acc-top1=30.416667 acc-top5=57.161458 [Epoch 027] training: accuracy=29.279837 loss=3.258193 [Epoch 027] speed: 117 samples/sec time cost: 2173.500536 [Epoch 027] validation: acc-top1=30.409447 acc-top5=57.152434 loss=3.260846 Epoch[028] Batch [0049]/[3760] Speed: 87.045277 samples/sec accuracy=28.906250 loss=3.228402 lr=0.082583 Epoch[028] Batch [0099]/[3760] Speed: 117.656571 samples/sec accuracy=28.875000 loss=3.233313 lr=0.082621 Epoch[028] Batch [0149]/[3760] Speed: 117.305489 samples/sec accuracy=28.895833 loss=3.259703 lr=0.082660 Epoch[028] Batch [0199]/[3760] Speed: 117.812294 samples/sec accuracy=28.710938 loss=3.261844 lr=0.082699 Epoch[028] Batch [0249]/[3760] Speed: 117.492065 samples/sec accuracy=28.825000 loss=3.261028 lr=0.082738 Epoch[028] Batch 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accuracy=29.297917 loss=3.251918 lr=0.083125 Epoch[028] Batch [0799]/[3760] Speed: 116.826687 samples/sec accuracy=29.298828 loss=3.251873 lr=0.083164 Epoch[028] Batch [0849]/[3760] Speed: 117.178329 samples/sec accuracy=29.340074 loss=3.251338 lr=0.083202 Epoch[028] Batch [0899]/[3760] Speed: 117.270916 samples/sec accuracy=29.348958 loss=3.250311 lr=0.083241 Epoch[028] Batch [0949]/[3760] Speed: 117.432263 samples/sec accuracy=29.347039 loss=3.249405 lr=0.083280 Epoch[028] Batch [0999]/[3760] Speed: 117.346695 samples/sec accuracy=29.345312 loss=3.251603 lr=0.083319 Epoch[028] Batch [1049]/[3760] Speed: 117.661835 samples/sec accuracy=29.367560 loss=3.250203 lr=0.083357 Epoch[028] Batch [1099]/[3760] Speed: 117.315063 samples/sec accuracy=29.419034 loss=3.248344 lr=0.083396 Epoch[028] Batch [1149]/[3760] Speed: 116.786818 samples/sec accuracy=29.413043 loss=3.247533 lr=0.083435 Epoch[028] Batch [1199]/[3760] Speed: 117.407516 samples/sec accuracy=29.419271 loss=3.247792 lr=0.083474 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loss=3.252985 lr=0.084209 Epoch[028] Batch [2199]/[3760] Speed: 118.304610 samples/sec accuracy=29.369318 loss=3.253722 lr=0.084248 Epoch[028] Batch [2249]/[3760] Speed: 116.578805 samples/sec accuracy=29.377778 loss=3.252825 lr=0.084287 Epoch[028] Batch [2299]/[3760] Speed: 117.496300 samples/sec accuracy=29.376359 loss=3.253626 lr=0.084326 Epoch[028] Batch [2349]/[3760] Speed: 117.306761 samples/sec accuracy=29.373005 loss=3.253619 lr=0.084364 Epoch[028] Batch [2399]/[3760] Speed: 118.410331 samples/sec accuracy=29.354167 loss=3.255092 lr=0.084403 Epoch[028] Batch [2449]/[3760] Speed: 117.050136 samples/sec accuracy=29.350765 loss=3.255358 lr=0.084442 Epoch[028] Batch [2499]/[3760] Speed: 117.239883 samples/sec accuracy=29.333125 loss=3.256353 lr=0.084481 Epoch[028] Batch [2549]/[3760] Speed: 117.356476 samples/sec accuracy=29.344363 loss=3.256463 lr=0.084519 Epoch[028] Batch [2599]/[3760] Speed: 117.309509 samples/sec accuracy=29.333534 loss=3.257002 lr=0.084558 Epoch[028] Batch 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accuracy=29.251512 loss=3.259976 lr=0.084945 Epoch[028] Batch [3149]/[3760] Speed: 117.495765 samples/sec accuracy=29.239583 loss=3.260886 lr=0.084984 Epoch[028] Batch [3199]/[3760] Speed: 116.364157 samples/sec accuracy=29.260742 loss=3.259947 lr=0.085023 Epoch[028] Batch [3249]/[3760] Speed: 116.360589 samples/sec accuracy=29.277885 loss=3.259551 lr=0.085061 Epoch[028] Batch [3299]/[3760] Speed: 117.556896 samples/sec accuracy=29.275568 loss=3.260841 lr=0.085100 Epoch[028] Batch [3349]/[3760] Speed: 117.927929 samples/sec accuracy=29.271455 loss=3.260854 lr=0.085139 Epoch[028] Batch [3399]/[3760] Speed: 116.556873 samples/sec accuracy=29.263327 loss=3.261525 lr=0.085178 Epoch[028] Batch [3449]/[3760] Speed: 117.624775 samples/sec accuracy=29.270833 loss=3.261364 lr=0.085216 Epoch[028] Batch [3499]/[3760] Speed: 118.192044 samples/sec accuracy=29.280804 loss=3.260589 lr=0.085255 Epoch[028] Batch [3549]/[3760] Speed: 117.537844 samples/sec accuracy=29.287412 loss=3.260936 lr=0.085294 Epoch[028] Batch [3599]/[3760] Speed: 117.890758 samples/sec accuracy=29.266927 loss=3.261826 lr=0.085333 Epoch[028] Batch [3649]/[3760] Speed: 117.685984 samples/sec accuracy=29.277397 loss=3.261822 lr=0.085371 Epoch[028] Batch [3699]/[3760] Speed: 117.089399 samples/sec accuracy=29.255912 loss=3.262887 lr=0.085410 Epoch[028] Batch [3749]/[3760] Speed: 121.016878 samples/sec accuracy=29.263333 loss=3.263013 lr=0.085449 Batch [0049]/[0303]: acc-top1=28.906250 acc-top5=53.843750 Batch [0099]/[0303]: acc-top1=26.828125 acc-top5=52.734375 Batch [0149]/[0303]: acc-top1=28.875000 acc-top5=54.500000 Batch [0199]/[0303]: acc-top1=30.562500 acc-top5=55.945312 Batch [0249]/[0303]: acc-top1=29.687500 acc-top5=55.568750 Batch [0299]/[0303]: acc-top1=29.010417 acc-top5=55.291667 [Epoch 028] training: accuracy=29.266539 loss=3.262945 [Epoch 028] speed: 116 samples/sec time cost: 2178.753781 [Epoch 028] validation: acc-top1=28.924299 acc-top5=55.244431 loss=3.427814 Epoch[029] Batch [0049]/[3759] Speed: 87.638454 samples/sec accuracy=26.937500 loss=3.369577 lr=0.085495 Epoch[029] Batch [0099]/[3759] Speed: 117.312584 samples/sec accuracy=28.421875 loss=3.303307 lr=0.085534 Epoch[029] Batch [0149]/[3759] Speed: 117.106437 samples/sec accuracy=28.354167 loss=3.279266 lr=0.085573 Epoch[029] Batch [0199]/[3759] Speed: 117.639003 samples/sec accuracy=29.015625 loss=3.265750 lr=0.085611 Epoch[029] Batch [0249]/[3759] Speed: 118.489219 samples/sec accuracy=29.337500 loss=3.247750 lr=0.085650 Epoch[029] Batch [0299]/[3759] Speed: 117.050716 samples/sec accuracy=29.203125 loss=3.251616 lr=0.085689 Epoch[029] Batch [0349]/[3759] Speed: 117.591299 samples/sec accuracy=29.174107 loss=3.257757 lr=0.085728 Epoch[029] Batch [0399]/[3759] Speed: 117.569714 samples/sec accuracy=29.277344 loss=3.253686 lr=0.085766 Epoch[029] Batch [0449]/[3759] Speed: 117.612280 samples/sec accuracy=29.281250 loss=3.255292 lr=0.085805 Epoch[029] Batch [0499]/[3759] Speed: 117.558423 samples/sec accuracy=29.384375 loss=3.254588 lr=0.085844 Epoch[029] Batch [0549]/[3759] Speed: 118.124110 samples/sec accuracy=29.269886 loss=3.254169 lr=0.085883 Epoch[029] Batch [0599]/[3759] Speed: 116.938339 samples/sec accuracy=29.177083 loss=3.257165 lr=0.085921 Epoch[029] Batch [0649]/[3759] Speed: 117.254778 samples/sec accuracy=29.189904 loss=3.255862 lr=0.085960 Epoch[029] Batch [0699]/[3759] Speed: 117.528101 samples/sec accuracy=29.223214 loss=3.256407 lr=0.085999 Epoch[029] Batch [0749]/[3759] Speed: 117.813444 samples/sec accuracy=29.081250 loss=3.263829 lr=0.086038 Epoch[029] Batch [0799]/[3759] Speed: 117.477413 samples/sec accuracy=28.980469 loss=3.265188 lr=0.086076 Epoch[029] Batch [0849]/[3759] Speed: 117.201718 samples/sec accuracy=28.979779 loss=3.265605 lr=0.086115 Epoch[029] Batch [0899]/[3759] Speed: 117.213068 samples/sec accuracy=29.015625 loss=3.265107 lr=0.086154 Epoch[029] Batch [0949]/[3759] Speed: 117.244810 samples/sec accuracy=29.014803 loss=3.266026 lr=0.086192 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accuracy=29.010417 loss=3.272090 lr=0.087664 Epoch[029] Batch [2899]/[3759] Speed: 117.872510 samples/sec accuracy=29.014009 loss=3.272041 lr=0.087703 Epoch[029] Batch [2949]/[3759] Speed: 117.311955 samples/sec accuracy=28.997881 loss=3.272495 lr=0.087742 Epoch[029] Batch [2999]/[3759] Speed: 117.122977 samples/sec accuracy=28.988542 loss=3.273222 lr=0.087780 Epoch[029] Batch [3049]/[3759] Speed: 117.429714 samples/sec accuracy=28.981557 loss=3.274304 lr=0.087819 Epoch[029] Batch [3099]/[3759] Speed: 116.407033 samples/sec accuracy=28.982359 loss=3.273914 lr=0.087858 Epoch[029] Batch [3149]/[3759] Speed: 116.855333 samples/sec accuracy=29.005456 loss=3.273264 lr=0.087897 Epoch[029] Batch [3199]/[3759] Speed: 117.176334 samples/sec accuracy=28.988770 loss=3.274306 lr=0.087935 Epoch[029] Batch [3249]/[3759] Speed: 117.744438 samples/sec accuracy=28.993750 loss=3.273452 lr=0.087974 Epoch[029] Batch [3299]/[3759] Speed: 116.899677 samples/sec accuracy=28.983902 loss=3.273797 lr=0.088013 Epoch[029] Batch [3349]/[3759] Speed: 117.166274 samples/sec accuracy=29.004198 loss=3.273608 lr=0.088052 Epoch[029] Batch [3399]/[3759] Speed: 117.486176 samples/sec accuracy=29.009191 loss=3.273719 lr=0.088090 Epoch[029] Batch [3449]/[3759] Speed: 116.932665 samples/sec accuracy=29.038496 loss=3.272288 lr=0.088129 Epoch[029] Batch [3499]/[3759] Speed: 117.604762 samples/sec accuracy=29.019643 loss=3.272944 lr=0.088168 Epoch[029] Batch [3549]/[3759] Speed: 117.891457 samples/sec accuracy=29.008363 loss=3.274200 lr=0.088206 Epoch[029] Batch [3599]/[3759] Speed: 117.679729 samples/sec accuracy=28.988281 loss=3.275231 lr=0.088245 Epoch[029] Batch [3649]/[3759] Speed: 117.721655 samples/sec accuracy=29.028682 loss=3.273775 lr=0.088284 Epoch[029] Batch [3699]/[3759] Speed: 117.287151 samples/sec accuracy=29.010135 loss=3.274252 lr=0.088323 Epoch[029] Batch [3749]/[3759] Speed: 120.642507 samples/sec accuracy=28.986667 loss=3.274720 lr=0.088361 Batch [0049]/[0303]: acc-top1=29.375000 acc-top5=53.812500 Batch [0099]/[0303]: acc-top1=25.906250 acc-top5=50.078125 Batch [0149]/[0303]: acc-top1=26.875000 acc-top5=51.604167 Batch [0199]/[0303]: acc-top1=29.742188 acc-top5=54.406250 Batch [0249]/[0303]: acc-top1=28.731250 acc-top5=54.412500 Batch [0299]/[0303]: acc-top1=28.468750 acc-top5=54.692708 [Epoch 029] training: accuracy=28.982941 loss=3.274763 [Epoch 029] speed: 116 samples/sec time cost: 2178.515051 [Epoch 029] validation: acc-top1=28.460190 acc-top5=54.739068 loss=3.458164 Epoch[030] Batch [0049]/[3760] Speed: 87.153144 samples/sec accuracy=29.718750 loss=3.199839 lr=0.088407 Epoch[030] Batch [0099]/[3760] Speed: 117.829349 samples/sec accuracy=28.781250 loss=3.249110 lr=0.088446 Epoch[030] Batch [0149]/[3760] Speed: 117.729848 samples/sec accuracy=28.822917 loss=3.264166 lr=0.088485 Epoch[030] Batch [0199]/[3760] Speed: 117.009176 samples/sec accuracy=29.429688 loss=3.252455 lr=0.088523 Epoch[030] Batch [0249]/[3760] Speed: 116.961379 samples/sec accuracy=29.231250 loss=3.248280 lr=0.088562 Epoch[030] Batch [0299]/[3760] Speed: 118.353144 samples/sec accuracy=29.380208 loss=3.240166 lr=0.088601 Epoch[030] Batch [0349]/[3760] Speed: 117.754191 samples/sec accuracy=29.120536 loss=3.251941 lr=0.088639 Epoch[030] Batch [0399]/[3760] Speed: 117.231232 samples/sec accuracy=29.117188 loss=3.254675 lr=0.088678 Epoch[030] Batch [0449]/[3760] Speed: 117.837547 samples/sec accuracy=29.260417 loss=3.254546 lr=0.088717 Epoch[030] Batch [0499]/[3760] Speed: 116.586944 samples/sec accuracy=29.262500 loss=3.256906 lr=0.088756 Epoch[030] Batch [0549]/[3760] Speed: 117.210849 samples/sec accuracy=29.292614 loss=3.260899 lr=0.088794 Epoch[030] Batch [0599]/[3760] Speed: 117.109818 samples/sec accuracy=29.401042 loss=3.254414 lr=0.088833 Epoch[030] Batch [0649]/[3760] Speed: 117.980294 samples/sec accuracy=29.365385 loss=3.258449 lr=0.088872 Epoch[030] Batch [0699]/[3760] Speed: 116.959327 samples/sec accuracy=29.303571 loss=3.261072 lr=0.088911 Epoch[030] Batch [0749]/[3760] Speed: 117.931295 samples/sec accuracy=29.381250 loss=3.260591 lr=0.088949 Epoch[030] Batch [0799]/[3760] Speed: 117.689395 samples/sec accuracy=29.349609 loss=3.265107 lr=0.088988 Epoch[030] Batch [0849]/[3760] Speed: 116.748912 samples/sec accuracy=29.308824 loss=3.264342 lr=0.089027 Epoch[030] Batch [0899]/[3760] Speed: 117.325448 samples/sec accuracy=29.225694 loss=3.271786 lr=0.089065 Epoch[030] Batch [0949]/[3760] Speed: 116.731677 samples/sec accuracy=29.190789 loss=3.272508 lr=0.089104 Epoch[030] Batch [0999]/[3760] Speed: 117.154723 samples/sec accuracy=29.131250 loss=3.275943 lr=0.089143 Epoch[030] Batch [1049]/[3760] Speed: 117.589799 samples/sec accuracy=29.159226 loss=3.276524 lr=0.089182 Epoch[030] Batch [1099]/[3760] Speed: 117.811635 samples/sec accuracy=29.132102 loss=3.278252 lr=0.089220 Epoch[030] Batch [1149]/[3760] Speed: 117.510579 samples/sec accuracy=29.082880 loss=3.279924 lr=0.089259 Epoch[030] Batch [1199]/[3760] Speed: 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loss=3.279068 lr=0.089646 Epoch[030] Batch [1699]/[3760] Speed: 116.897917 samples/sec accuracy=29.086397 loss=3.277743 lr=0.089685 Epoch[030] Batch [1749]/[3760] Speed: 117.125940 samples/sec accuracy=29.096429 loss=3.278406 lr=0.089724 Epoch[030] Batch [1799]/[3760] Speed: 117.176812 samples/sec accuracy=29.071181 loss=3.277821 lr=0.089763 Epoch[030] Batch [1849]/[3760] Speed: 116.447460 samples/sec accuracy=29.083615 loss=3.277322 lr=0.089801 Epoch[030] Batch [1899]/[3760] Speed: 117.274502 samples/sec accuracy=29.081414 loss=3.277660 lr=0.089840 Epoch[030] Batch [1949]/[3760] Speed: 116.778488 samples/sec accuracy=29.068109 loss=3.277334 lr=0.089879 Epoch[030] Batch [1999]/[3760] Speed: 117.481807 samples/sec accuracy=29.036719 loss=3.279617 lr=0.089918 Epoch[030] Batch [2049]/[3760] Speed: 117.664303 samples/sec accuracy=29.040396 loss=3.278816 lr=0.089956 Epoch[030] Batch [2099]/[3760] Speed: 117.870328 samples/sec accuracy=28.991815 loss=3.281283 lr=0.089995 Epoch[030] Batch 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accuracy=28.937500 loss=3.281560 lr=0.090382 Epoch[030] Batch [2649]/[3760] Speed: 117.724790 samples/sec accuracy=28.952241 loss=3.280790 lr=0.090421 Epoch[030] Batch [2699]/[3760] Speed: 117.276058 samples/sec accuracy=28.944444 loss=3.281344 lr=0.090460 Epoch[030] Batch [2749]/[3760] Speed: 117.365705 samples/sec accuracy=28.943182 loss=3.281421 lr=0.090499 Epoch[030] Batch [2799]/[3760] Speed: 117.380771 samples/sec accuracy=28.927455 loss=3.281536 lr=0.090537 Epoch[030] Batch [2849]/[3760] Speed: 117.015470 samples/sec accuracy=28.916118 loss=3.282241 lr=0.090576 Epoch[030] Batch [2899]/[3760] Speed: 117.487673 samples/sec accuracy=28.903556 loss=3.282940 lr=0.090615 Epoch[030] Batch [2949]/[3760] Speed: 117.332556 samples/sec accuracy=28.906780 loss=3.282753 lr=0.090653 Epoch[030] Batch [2999]/[3760] Speed: 117.760297 samples/sec accuracy=28.870313 loss=3.283641 lr=0.090692 Epoch[030] Batch [3049]/[3760] Speed: 117.712517 samples/sec accuracy=28.900102 loss=3.282287 lr=0.090731 Epoch[030] Batch [3099]/[3760] Speed: 117.218462 samples/sec accuracy=28.898690 loss=3.282421 lr=0.090770 Epoch[030] Batch [3149]/[3760] Speed: 117.589916 samples/sec accuracy=28.893849 loss=3.282511 lr=0.090808 Epoch[030] Batch [3199]/[3760] Speed: 117.177966 samples/sec accuracy=28.903320 loss=3.282328 lr=0.090847 Epoch[030] Batch [3249]/[3760] Speed: 118.169979 samples/sec accuracy=28.923558 loss=3.281621 lr=0.090886 Epoch[030] Batch [3299]/[3760] Speed: 116.058466 samples/sec accuracy=28.919981 loss=3.281637 lr=0.090925 Epoch[030] Batch [3349]/[3760] Speed: 117.005243 samples/sec accuracy=28.904851 loss=3.283194 lr=0.090963 Epoch[030] Batch [3399]/[3760] Speed: 117.182059 samples/sec accuracy=28.904871 loss=3.283300 lr=0.091002 Epoch[030] Batch [3449]/[3760] Speed: 116.858223 samples/sec accuracy=28.900362 loss=3.283035 lr=0.091041 Epoch[030] Batch [3499]/[3760] Speed: 117.598607 samples/sec accuracy=28.894196 loss=3.283280 lr=0.091080 Epoch[030] Batch [3549]/[3760] Speed: 117.752062 samples/sec accuracy=28.903609 loss=3.283011 lr=0.091118 Epoch[030] Batch [3599]/[3760] Speed: 117.827638 samples/sec accuracy=28.887153 loss=3.283354 lr=0.091157 Epoch[030] Batch [3649]/[3760] Speed: 117.950750 samples/sec accuracy=28.872860 loss=3.284099 lr=0.091196 Epoch[030] Batch [3699]/[3760] Speed: 117.626919 samples/sec accuracy=28.892314 loss=3.283548 lr=0.091234 Epoch[030] Batch [3749]/[3760] Speed: 121.144042 samples/sec accuracy=28.890000 loss=3.283570 lr=0.091273 Batch [0049]/[0303]: acc-top1=29.281250 acc-top5=56.187500 Batch [0099]/[0303]: acc-top1=25.890625 acc-top5=51.875000 Batch [0149]/[0303]: acc-top1=27.531250 acc-top5=52.833333 Batch [0199]/[0303]: acc-top1=30.234375 acc-top5=55.656250 Batch [0249]/[0303]: acc-top1=29.350000 acc-top5=55.475000 Batch [0299]/[0303]: acc-top1=29.000000 acc-top5=55.567708 [Epoch 030] training: accuracy=28.892952 loss=3.283366 [Epoch 030] speed: 116 samples/sec time cost: 2179.399014 [Epoch 030] validation: acc-top1=28.981023 acc-top5=55.558993 loss=3.417623 Epoch[031] Batch [0049]/[3760] Speed: 88.198947 samples/sec accuracy=29.937500 loss=3.228246 lr=0.091320 Epoch[031] Batch [0099]/[3760] Speed: 117.390249 samples/sec accuracy=29.046875 loss=3.260470 lr=0.091358 Epoch[031] Batch [0149]/[3760] Speed: 117.263373 samples/sec accuracy=28.937500 loss=3.271877 lr=0.091397 Epoch[031] Batch [0199]/[3760] Speed: 116.437788 samples/sec accuracy=29.023438 loss=3.257923 lr=0.091436 Epoch[031] Batch [0249]/[3760] Speed: 117.141087 samples/sec accuracy=29.137500 loss=3.260931 lr=0.091475 Epoch[031] Batch [0299]/[3760] Speed: 117.111224 samples/sec accuracy=29.078125 loss=3.257338 lr=0.091513 Epoch[031] Batch [0349]/[3760] Speed: 117.720743 samples/sec accuracy=29.071429 loss=3.250137 lr=0.091552 Epoch[031] Batch [0399]/[3760] Speed: 116.926738 samples/sec accuracy=29.105469 loss=3.248574 lr=0.091591 Epoch[031] Batch [0449]/[3760] Speed: 116.632432 samples/sec accuracy=29.055556 loss=3.258630 lr=0.091629 Epoch[031] Batch [0499]/[3760] Speed: 117.161094 samples/sec accuracy=29.084375 loss=3.256986 lr=0.091668 Epoch[031] Batch [0549]/[3760] Speed: 118.228381 samples/sec accuracy=29.076705 loss=3.253291 lr=0.091707 Epoch[031] Batch [0599]/[3760] Speed: 117.302192 samples/sec accuracy=29.075521 loss=3.256303 lr=0.091746 Epoch[031] Batch [0649]/[3760] Speed: 117.181232 samples/sec accuracy=29.187500 loss=3.256617 lr=0.091784 Epoch[031] Batch [0699]/[3760] Speed: 117.924362 samples/sec accuracy=29.029018 loss=3.263134 lr=0.091823 Epoch[031] Batch [0749]/[3760] Speed: 117.258700 samples/sec accuracy=28.989583 loss=3.268134 lr=0.091862 Epoch[031] Batch [0799]/[3760] Speed: 116.928147 samples/sec accuracy=29.027344 loss=3.268300 lr=0.091901 Epoch[031] Batch [0849]/[3760] Speed: 116.407070 samples/sec accuracy=29.117647 loss=3.265261 lr=0.091939 Epoch[031] Batch [0899]/[3760] Speed: 117.080938 samples/sec accuracy=29.147569 loss=3.266160 lr=0.091978 Epoch[031] Batch [0949]/[3760] 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accuracy=29.016741 loss=3.279652 lr=0.092365 Epoch[031] Batch [1449]/[3760] Speed: 117.533705 samples/sec accuracy=29.042026 loss=3.279183 lr=0.092404 Epoch[031] Batch [1499]/[3760] Speed: 117.159561 samples/sec accuracy=29.018750 loss=3.280725 lr=0.092443 Epoch[031] Batch [1549]/[3760] Speed: 117.935245 samples/sec accuracy=29.033266 loss=3.279018 lr=0.092482 Epoch[031] Batch [1599]/[3760] Speed: 117.618153 samples/sec accuracy=28.997070 loss=3.280493 lr=0.092520 Epoch[031] Batch [1649]/[3760] Speed: 117.031405 samples/sec accuracy=28.995265 loss=3.281323 lr=0.092559 Epoch[031] Batch [1699]/[3760] Speed: 117.132227 samples/sec accuracy=28.983456 loss=3.281993 lr=0.092598 Epoch[031] Batch [1749]/[3760] Speed: 117.233713 samples/sec accuracy=29.030357 loss=3.282283 lr=0.092636 Epoch[031] Batch [1799]/[3760] Speed: 117.833029 samples/sec accuracy=29.020833 loss=3.280968 lr=0.092675 Epoch[031] Batch [1849]/[3760] Speed: 117.388467 samples/sec accuracy=28.994932 loss=3.281821 lr=0.092714 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loss=3.287874 lr=0.093450 Epoch[031] Batch [2849]/[3760] Speed: 117.828907 samples/sec accuracy=28.856360 loss=3.288575 lr=0.093489 Epoch[031] Batch [2899]/[3760] Speed: 117.572456 samples/sec accuracy=28.869073 loss=3.288638 lr=0.093527 Epoch[031] Batch [2949]/[3760] Speed: 117.207596 samples/sec accuracy=28.859640 loss=3.289010 lr=0.093566 Epoch[031] Batch [2999]/[3760] Speed: 118.125391 samples/sec accuracy=28.848438 loss=3.288632 lr=0.093605 Epoch[031] Batch [3049]/[3760] Speed: 117.987180 samples/sec accuracy=28.840676 loss=3.289907 lr=0.093643 Epoch[031] Batch [3099]/[3760] Speed: 117.393714 samples/sec accuracy=28.839718 loss=3.291150 lr=0.093682 Epoch[031] Batch [3149]/[3760] Speed: 116.588744 samples/sec accuracy=28.845238 loss=3.291042 lr=0.093721 Epoch[031] Batch [3199]/[3760] Speed: 117.417463 samples/sec accuracy=28.841309 loss=3.290483 lr=0.093760 Epoch[031] Batch [3249]/[3760] Speed: 117.046745 samples/sec accuracy=28.837981 loss=3.290264 lr=0.093798 Epoch[031] Batch 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accuracy=28.835000 loss=3.291150 lr=0.094186 Batch [0049]/[0303]: acc-top1=26.718750 acc-top5=53.968750 Batch [0099]/[0303]: acc-top1=26.187500 acc-top5=52.906250 Batch [0149]/[0303]: acc-top1=27.427083 acc-top5=53.322917 Batch [0199]/[0303]: acc-top1=29.867187 acc-top5=56.031250 Batch [0249]/[0303]: acc-top1=29.262500 acc-top5=56.056250 Batch [0299]/[0303]: acc-top1=28.932292 acc-top5=56.187500 [Epoch 031] training: accuracy=28.826463 loss=3.291470 [Epoch 031] speed: 116 samples/sec time cost: 2179.462208 [Epoch 031] validation: acc-top1=28.852104 acc-top5=56.074670 loss=3.398228 Epoch[032] Batch [0049]/[3759] Speed: 86.353268 samples/sec accuracy=28.968750 loss=3.260516 lr=0.094232 Epoch[032] Batch [0099]/[3759] Speed: 116.690499 samples/sec accuracy=29.640625 loss=3.240853 lr=0.094271 Epoch[032] Batch [0149]/[3759] Speed: 117.663396 samples/sec accuracy=28.802083 loss=3.263959 lr=0.094310 Epoch[032] Batch [0199]/[3759] Speed: 116.549252 samples/sec accuracy=28.976563 loss=3.267118 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accuracy=28.908967 loss=3.279388 lr=0.095084 Epoch[032] Batch [1199]/[3759] Speed: 116.989294 samples/sec accuracy=28.873698 loss=3.278070 lr=0.095123 Epoch[032] Batch [1249]/[3759] Speed: 117.431041 samples/sec accuracy=28.901250 loss=3.277936 lr=0.095162 Epoch[032] Batch [1299]/[3759] Speed: 118.534743 samples/sec accuracy=28.912260 loss=3.277621 lr=0.095200 Epoch[032] Batch [1349]/[3759] Speed: 117.537862 samples/sec accuracy=28.945602 loss=3.276398 lr=0.095239 Epoch[032] Batch [1399]/[3759] Speed: 117.567669 samples/sec accuracy=28.915179 loss=3.277487 lr=0.095278 Epoch[032] Batch [1449]/[3759] Speed: 117.325070 samples/sec accuracy=28.870690 loss=3.277287 lr=0.095317 Epoch[032] Batch [1499]/[3759] Speed: 117.975305 samples/sec accuracy=28.886458 loss=3.278756 lr=0.095355 Epoch[032] Batch [1549]/[3759] Speed: 118.200266 samples/sec accuracy=28.882056 loss=3.278834 lr=0.095394 Epoch[032] Batch [1599]/[3759] Speed: 117.613441 samples/sec accuracy=28.812500 loss=3.280381 lr=0.095433 Epoch[032] Batch [1649]/[3759] Speed: 117.815664 samples/sec accuracy=28.818182 loss=3.282031 lr=0.095472 Epoch[032] Batch [1699]/[3759] Speed: 117.516003 samples/sec accuracy=28.821691 loss=3.281964 lr=0.095510 Epoch[032] Batch [1749]/[3759] Speed: 117.959705 samples/sec accuracy=28.806250 loss=3.281985 lr=0.095549 Epoch[032] Batch [1799]/[3759] Speed: 117.664871 samples/sec accuracy=28.822049 loss=3.281566 lr=0.095588 Epoch[032] Batch [1849]/[3759] Speed: 117.485103 samples/sec accuracy=28.826014 loss=3.281910 lr=0.095627 Epoch[032] Batch [1899]/[3759] Speed: 116.679917 samples/sec accuracy=28.837993 loss=3.281861 lr=0.095665 Epoch[032] Batch [1949]/[3759] Speed: 117.787737 samples/sec accuracy=28.834135 loss=3.280852 lr=0.095704 Epoch[032] Batch [1999]/[3759] Speed: 117.355268 samples/sec accuracy=28.827344 loss=3.281738 lr=0.095743 Epoch[032] Batch [2049]/[3759] Speed: 117.472073 samples/sec accuracy=28.807927 loss=3.283550 lr=0.095781 Epoch[032] Batch [2099]/[3759] Speed: 117.178222 samples/sec accuracy=28.783482 loss=3.284066 lr=0.095820 Epoch[032] Batch [2149]/[3759] Speed: 117.069720 samples/sec accuracy=28.767442 loss=3.284965 lr=0.095859 Epoch[032] Batch [2199]/[3759] Speed: 116.687046 samples/sec accuracy=28.769886 loss=3.285063 lr=0.095898 Epoch[032] Batch [2249]/[3759] Speed: 117.357953 samples/sec accuracy=28.773611 loss=3.283848 lr=0.095936 Epoch[032] Batch [2299]/[3759] Speed: 117.107308 samples/sec accuracy=28.752717 loss=3.284583 lr=0.095975 Epoch[032] Batch [2349]/[3759] Speed: 116.926643 samples/sec accuracy=28.726064 loss=3.286127 lr=0.096014 Epoch[032] Batch [2399]/[3759] Speed: 117.140250 samples/sec accuracy=28.712240 loss=3.287120 lr=0.096053 Epoch[032] Batch [2449]/[3759] Speed: 117.177656 samples/sec accuracy=28.724490 loss=3.286881 lr=0.096091 Epoch[032] Batch [2499]/[3759] Speed: 117.280863 samples/sec accuracy=28.703750 loss=3.288040 lr=0.096130 Epoch[032] Batch [2549]/[3759] Speed: 118.379260 samples/sec accuracy=28.699755 loss=3.288261 lr=0.096169 Epoch[032] Batch [2599]/[3759] Speed: 116.929973 samples/sec accuracy=28.710337 loss=3.288871 lr=0.096207 Epoch[032] Batch [2649]/[3759] Speed: 118.246048 samples/sec accuracy=28.732311 loss=3.288956 lr=0.096246 Epoch[032] Batch [2699]/[3759] Speed: 117.645907 samples/sec accuracy=28.747106 loss=3.288290 lr=0.096285 Epoch[032] Batch [2749]/[3759] Speed: 117.548305 samples/sec accuracy=28.751136 loss=3.288670 lr=0.096324 Epoch[032] Batch [2799]/[3759] Speed: 117.468151 samples/sec accuracy=28.751674 loss=3.288463 lr=0.096362 Epoch[032] Batch [2849]/[3759] Speed: 117.603428 samples/sec accuracy=28.780702 loss=3.288430 lr=0.096401 Epoch[032] Batch [2899]/[3759] Speed: 117.258218 samples/sec accuracy=28.792565 loss=3.288969 lr=0.096440 Epoch[032] Batch [2949]/[3759] Speed: 116.689458 samples/sec accuracy=28.774364 loss=3.289641 lr=0.096479 Epoch[032] Batch [2999]/[3759] Speed: 118.078631 samples/sec accuracy=28.774479 loss=3.289479 lr=0.096517 Epoch[032] Batch [3049]/[3759] Speed: 117.204241 samples/sec accuracy=28.752561 loss=3.289930 lr=0.096556 Epoch[032] Batch [3099]/[3759] Speed: 117.917934 samples/sec accuracy=28.741935 loss=3.290781 lr=0.096595 Epoch[032] Batch [3149]/[3759] Speed: 118.145491 samples/sec accuracy=28.740575 loss=3.289978 lr=0.096634 Epoch[032] Batch [3199]/[3759] Speed: 117.437540 samples/sec accuracy=28.731445 loss=3.290248 lr=0.096672 Epoch[032] Batch [3249]/[3759] Speed: 117.461860 samples/sec accuracy=28.718750 loss=3.290667 lr=0.096711 Epoch[032] Batch [3299]/[3759] Speed: 117.441328 samples/sec accuracy=28.711174 loss=3.290434 lr=0.096750 Epoch[032] Batch [3349]/[3759] Speed: 117.607491 samples/sec accuracy=28.710354 loss=3.290679 lr=0.096788 Epoch[032] Batch [3399]/[3759] Speed: 117.725024 samples/sec accuracy=28.711397 loss=3.291241 lr=0.096827 Epoch[032] Batch [3449]/[3759] Speed: 116.648668 samples/sec accuracy=28.711504 loss=3.291179 lr=0.096866 Epoch[032] Batch [3499]/[3759] Speed: 117.499055 samples/sec accuracy=28.713393 loss=3.291318 lr=0.096905 Epoch[032] Batch [3549]/[3759] Speed: 117.786291 samples/sec accuracy=28.705106 loss=3.291931 lr=0.096943 Epoch[032] Batch [3599]/[3759] Speed: 116.465728 samples/sec accuracy=28.710938 loss=3.291817 lr=0.096982 Epoch[032] Batch [3649]/[3759] Speed: 117.324337 samples/sec accuracy=28.709760 loss=3.291805 lr=0.097021 Epoch[032] Batch [3699]/[3759] Speed: 116.747884 samples/sec accuracy=28.701858 loss=3.291837 lr=0.097060 Epoch[032] Batch [3749]/[3759] Speed: 120.885544 samples/sec accuracy=28.692083 loss=3.293108 lr=0.097098 Batch [0049]/[0303]: acc-top1=27.906250 acc-top5=53.187500 Batch [0099]/[0303]: acc-top1=26.109375 acc-top5=52.906250 Batch [0149]/[0303]: acc-top1=27.520833 acc-top5=53.885417 Batch [0199]/[0303]: acc-top1=30.093750 acc-top5=56.148438 Batch [0249]/[0303]: acc-top1=29.068750 acc-top5=55.875000 Batch [0299]/[0303]: acc-top1=28.734375 acc-top5=56.333333 [Epoch 032] training: accuracy=28.689063 loss=3.293456 [Epoch 032] speed: 116 samples/sec time cost: 2178.298553 [Epoch 032] validation: acc-top1=28.723185 acc-top5=56.250000 loss=3.403583 Epoch[033] Batch [0049]/[3760] Speed: 87.015792 samples/sec accuracy=28.843750 loss=3.318358 lr=0.097144 Epoch[033] Batch [0099]/[3760] Speed: 117.584760 samples/sec accuracy=28.562500 loss=3.312726 lr=0.097183 Epoch[033] Batch [0149]/[3760] Speed: 117.503717 samples/sec accuracy=28.687500 loss=3.303225 lr=0.097221 Epoch[033] Batch [0199]/[3760] Speed: 117.652881 samples/sec accuracy=28.812500 loss=3.294435 lr=0.097260 Epoch[033] Batch [0249]/[3760] Speed: 117.713663 samples/sec accuracy=28.500000 loss=3.292895 lr=0.097299 Epoch[033] Batch [0299]/[3760] Speed: 117.650734 samples/sec accuracy=28.302083 loss=3.295629 lr=0.097338 Epoch[033] Batch [0349]/[3760] Speed: 117.060530 samples/sec accuracy=28.473214 loss=3.284877 lr=0.097376 Epoch[033] Batch [0399]/[3760] Speed: 117.102895 samples/sec accuracy=28.410156 loss=3.294096 lr=0.097415 Epoch[033] Batch [0449]/[3760] 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accuracy=28.777778 loss=3.295197 lr=0.097802 Epoch[033] Batch [0949]/[3760] Speed: 117.690828 samples/sec accuracy=28.777961 loss=3.297116 lr=0.097841 Epoch[033] Batch [0999]/[3760] Speed: 116.658798 samples/sec accuracy=28.820312 loss=3.297789 lr=0.097880 Epoch[033] Batch [1049]/[3760] Speed: 117.266585 samples/sec accuracy=28.845238 loss=3.295827 lr=0.097919 Epoch[033] Batch [1099]/[3760] Speed: 117.156852 samples/sec accuracy=28.815341 loss=3.295929 lr=0.097957 Epoch[033] Batch [1149]/[3760] Speed: 117.895002 samples/sec accuracy=28.792120 loss=3.295639 lr=0.097996 Epoch[033] Batch [1199]/[3760] Speed: 117.505589 samples/sec accuracy=28.777344 loss=3.296260 lr=0.098035 Epoch[033] Batch [1249]/[3760] Speed: 117.784363 samples/sec accuracy=28.751250 loss=3.297863 lr=0.098074 Epoch[033] Batch [1299]/[3760] Speed: 117.278721 samples/sec accuracy=28.700721 loss=3.299681 lr=0.098112 Epoch[033] Batch [1349]/[3760] Speed: 116.916573 samples/sec accuracy=28.692130 loss=3.300530 lr=0.098151 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accuracy=28.625000 loss=3.308531 lr=0.099623 Epoch[033] Batch [3299]/[3760] Speed: 118.271206 samples/sec accuracy=28.624527 loss=3.308543 lr=0.099661 Epoch[033] Batch [3349]/[3760] Speed: 117.304075 samples/sec accuracy=28.634795 loss=3.308033 lr=0.099700 Epoch[033] Batch [3399]/[3760] Speed: 117.504399 samples/sec accuracy=28.639246 loss=3.307974 lr=0.099739 Epoch[033] Batch [3449]/[3760] Speed: 117.175696 samples/sec accuracy=28.624547 loss=3.308486 lr=0.099778 Epoch[033] Batch [3499]/[3760] Speed: 117.045660 samples/sec accuracy=28.629464 loss=3.308768 lr=0.099816 Epoch[033] Batch [3549]/[3760] Speed: 117.020706 samples/sec accuracy=28.639965 loss=3.308557 lr=0.099855 Epoch[033] Batch [3599]/[3760] Speed: 117.499094 samples/sec accuracy=28.647569 loss=3.308439 lr=0.099894 Epoch[033] Batch [3649]/[3760] Speed: 117.981146 samples/sec accuracy=28.633990 loss=3.308901 lr=0.099933 Epoch[033] Batch [3699]/[3760] Speed: 117.000949 samples/sec accuracy=28.624578 loss=3.309075 lr=0.099971 Epoch[033] Batch [3749]/[3760] Speed: 120.148023 samples/sec accuracy=28.633333 loss=3.308991 lr=0.100000 Batch [0049]/[0303]: acc-top1=24.062500 acc-top5=47.625000 Batch [0099]/[0303]: acc-top1=24.312500 acc-top5=49.250000 Batch [0149]/[0303]: acc-top1=25.166667 acc-top5=50.500000 Batch [0199]/[0303]: acc-top1=27.343750 acc-top5=52.476562 Batch [0249]/[0303]: acc-top1=27.068750 acc-top5=52.668750 Batch [0299]/[0303]: acc-top1=26.421875 acc-top5=52.104167 [Epoch 033] training: accuracy=28.632397 loss=3.308936 [Epoch 033] speed: 116 samples/sec time cost: 2178.888978 [Epoch 033] validation: acc-top1=26.474835 acc-top5=52.129744 loss=3.727392 Epoch[034] Batch [0049]/[3759] Speed: 86.747178 samples/sec accuracy=28.375000 loss=3.330405 lr=0.100000 Epoch[034] Batch [0099]/[3759] Speed: 118.166821 samples/sec accuracy=29.218750 loss=3.287044 lr=0.100000 Epoch[034] Batch [0149]/[3759] Speed: 117.228121 samples/sec accuracy=29.250000 loss=3.271065 lr=0.100000 Epoch[034] Batch [0199]/[3759] 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accuracy=28.903846 loss=3.279962 lr=0.100000 Epoch[034] Batch [0699]/[3759] Speed: 117.210262 samples/sec accuracy=28.848214 loss=3.283499 lr=0.100000 Epoch[034] Batch [0749]/[3759] Speed: 116.886834 samples/sec accuracy=28.791667 loss=3.287216 lr=0.100000 Epoch[034] Batch [0799]/[3759] Speed: 117.710413 samples/sec accuracy=28.830078 loss=3.287527 lr=0.100000 Epoch[034] Batch [0849]/[3759] Speed: 117.071963 samples/sec accuracy=28.836397 loss=3.287112 lr=0.099999 Epoch[034] Batch [0899]/[3759] Speed: 117.269501 samples/sec accuracy=28.795139 loss=3.285161 lr=0.099999 Epoch[034] Batch [0949]/[3759] Speed: 116.902990 samples/sec accuracy=28.796053 loss=3.284729 lr=0.099999 Epoch[034] Batch [0999]/[3759] Speed: 117.755729 samples/sec accuracy=28.832812 loss=3.284720 lr=0.099999 Epoch[034] Batch [1049]/[3759] Speed: 116.566610 samples/sec accuracy=28.843750 loss=3.281193 lr=0.099999 Epoch[034] Batch [1099]/[3759] Speed: 116.926942 samples/sec accuracy=28.887784 loss=3.278227 lr=0.099999 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loss=3.299526 lr=0.099997 Epoch[034] Batch [2099]/[3759] Speed: 117.514363 samples/sec accuracy=28.531994 loss=3.300913 lr=0.099997 Epoch[034] Batch [2149]/[3759] Speed: 117.851819 samples/sec accuracy=28.524709 loss=3.300814 lr=0.099997 Epoch[034] Batch [2199]/[3759] Speed: 117.391063 samples/sec accuracy=28.521307 loss=3.300939 lr=0.099997 Epoch[034] Batch [2249]/[3759] Speed: 117.710980 samples/sec accuracy=28.528472 loss=3.301259 lr=0.099997 Epoch[034] Batch [2299]/[3759] Speed: 117.149060 samples/sec accuracy=28.511549 loss=3.302513 lr=0.099996 Epoch[034] Batch [2349]/[3759] Speed: 117.928864 samples/sec accuracy=28.509309 loss=3.303005 lr=0.099996 Epoch[034] Batch [2399]/[3759] Speed: 117.003197 samples/sec accuracy=28.484375 loss=3.304518 lr=0.099996 Epoch[034] Batch [2449]/[3759] Speed: 117.750588 samples/sec accuracy=28.508291 loss=3.302845 lr=0.099996 Epoch[034] Batch [2499]/[3759] Speed: 117.712901 samples/sec accuracy=28.516250 loss=3.302437 lr=0.099996 Epoch[034] Batch 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accuracy=28.437500 loss=3.305962 lr=0.099994 Epoch[034] Batch [3049]/[3759] Speed: 117.527900 samples/sec accuracy=28.434939 loss=3.306235 lr=0.099994 Epoch[034] Batch [3099]/[3759] Speed: 117.818127 samples/sec accuracy=28.424395 loss=3.306969 lr=0.099994 Epoch[034] Batch [3149]/[3759] Speed: 117.223683 samples/sec accuracy=28.417659 loss=3.307310 lr=0.099993 Epoch[034] Batch [3199]/[3759] Speed: 117.054676 samples/sec accuracy=28.403320 loss=3.308358 lr=0.099993 Epoch[034] Batch [3249]/[3759] Speed: 116.953291 samples/sec accuracy=28.386058 loss=3.309073 lr=0.099993 Epoch[034] Batch [3299]/[3759] Speed: 117.979383 samples/sec accuracy=28.388258 loss=3.308937 lr=0.099993 Epoch[034] Batch [3349]/[3759] Speed: 117.603626 samples/sec accuracy=28.388060 loss=3.308755 lr=0.099992 Epoch[034] Batch [3399]/[3759] Speed: 117.038620 samples/sec accuracy=28.377757 loss=3.308738 lr=0.099992 Epoch[034] Batch [3449]/[3759] Speed: 117.219960 samples/sec accuracy=28.360054 loss=3.309735 lr=0.099992 Epoch[034] Batch [3499]/[3759] Speed: 117.830282 samples/sec accuracy=28.368304 loss=3.309979 lr=0.099992 Epoch[034] Batch [3549]/[3759] Speed: 117.701317 samples/sec accuracy=28.348592 loss=3.310640 lr=0.099992 Epoch[034] Batch [3599]/[3759] Speed: 117.516884 samples/sec accuracy=28.347656 loss=3.310993 lr=0.099991 Epoch[034] Batch [3649]/[3759] Speed: 117.300577 samples/sec accuracy=28.336473 loss=3.311023 lr=0.099991 Epoch[034] Batch [3699]/[3759] Speed: 117.775599 samples/sec accuracy=28.346706 loss=3.310857 lr=0.099991 Epoch[034] Batch [3749]/[3759] Speed: 120.417196 samples/sec accuracy=28.341667 loss=3.311015 lr=0.099991 Batch [0049]/[0303]: acc-top1=25.437500 acc-top5=49.500000 Batch [0099]/[0303]: acc-top1=23.968750 acc-top5=48.046875 Batch [0149]/[0303]: acc-top1=25.145833 acc-top5=49.479167 Batch [0199]/[0303]: acc-top1=27.367188 acc-top5=51.023438 Batch [0249]/[0303]: acc-top1=26.643750 acc-top5=50.450000 Batch [0299]/[0303]: acc-top1=26.098958 acc-top5=50.687500 [Epoch 034] training: accuracy=28.337823 loss=3.311336 [Epoch 034] speed: 116 samples/sec time cost: 2179.295706 [Epoch 034] validation: acc-top1=26.088078 acc-top5=50.732261 loss=3.723547 Epoch[035] Batch [0049]/[3760] Speed: 88.031995 samples/sec accuracy=27.187500 loss=3.333143 lr=0.099990 Epoch[035] Batch [0099]/[3760] Speed: 117.604604 samples/sec accuracy=28.078125 loss=3.297981 lr=0.099990 Epoch[035] Batch [0149]/[3760] Speed: 117.619449 samples/sec accuracy=28.718750 loss=3.280316 lr=0.099990 Epoch[035] Batch [0199]/[3760] Speed: 116.713601 samples/sec accuracy=28.796875 loss=3.289316 lr=0.099989 Epoch[035] Batch [0249]/[3760] Speed: 116.986292 samples/sec accuracy=28.762500 loss=3.288583 lr=0.099989 Epoch[035] Batch [0299]/[3760] Speed: 116.891117 samples/sec accuracy=28.770833 loss=3.293052 lr=0.099989 Epoch[035] Batch [0349]/[3760] Speed: 117.709172 samples/sec accuracy=28.790179 loss=3.294013 lr=0.099989 Epoch[035] Batch [0399]/[3760] Speed: 117.064300 samples/sec 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accuracy=28.714773 loss=3.299128 lr=0.099972 Epoch[035] Batch [2799]/[3760] Speed: 117.032565 samples/sec accuracy=28.691406 loss=3.299907 lr=0.099971 Epoch[035] Batch [2849]/[3760] Speed: 117.344556 samples/sec accuracy=28.709430 loss=3.299654 lr=0.099971 Epoch[035] Batch [2899]/[3760] Speed: 118.203265 samples/sec accuracy=28.705280 loss=3.299704 lr=0.099970 Epoch[035] Batch [2949]/[3760] Speed: 117.478424 samples/sec accuracy=28.696504 loss=3.300025 lr=0.099970 Epoch[035] Batch [2999]/[3760] Speed: 118.152656 samples/sec accuracy=28.684896 loss=3.300117 lr=0.099969 Epoch[035] Batch [3049]/[3760] Speed: 118.006300 samples/sec accuracy=28.688012 loss=3.300131 lr=0.099969 Epoch[035] Batch [3099]/[3760] Speed: 117.335180 samples/sec accuracy=28.672379 loss=3.300350 lr=0.099968 Epoch[035] Batch [3149]/[3760] Speed: 117.880591 samples/sec accuracy=28.660714 loss=3.300379 lr=0.099968 Epoch[035] Batch [3199]/[3760] Speed: 117.526671 samples/sec accuracy=28.643066 loss=3.301016 lr=0.099968 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117.205986 samples/sec accuracy=28.635557 loss=3.302378 lr=0.099963 Epoch[035] Batch [3749]/[3760] Speed: 120.513385 samples/sec accuracy=28.652083 loss=3.302115 lr=0.099962 Batch [0049]/[0303]: acc-top1=27.531250 acc-top5=53.718750 Batch [0099]/[0303]: acc-top1=26.578125 acc-top5=51.406250 Batch [0149]/[0303]: acc-top1=28.072917 acc-top5=53.166667 Batch [0199]/[0303]: acc-top1=30.828125 acc-top5=55.804688 Batch [0249]/[0303]: acc-top1=30.087500 acc-top5=56.156250 Batch [0299]/[0303]: acc-top1=29.953125 acc-top5=56.494792 [Epoch 035] training: accuracy=28.658993 loss=3.301917 [Epoch 035] speed: 116 samples/sec time cost: 2178.725304 [Epoch 035] validation: acc-top1=29.909241 acc-top5=56.487211 loss=3.312148 Epoch[036] Batch [0049]/[3760] Speed: 86.645670 samples/sec accuracy=28.437500 loss=3.271186 lr=0.099962 Epoch[036] Batch [0099]/[3760] Speed: 116.914694 samples/sec accuracy=28.734375 loss=3.270162 lr=0.099961 Epoch[036] Batch [0149]/[3760] Speed: 117.683512 samples/sec accuracy=29.020833 loss=3.262809 lr=0.099961 Epoch[036] Batch [0199]/[3760] Speed: 117.023027 samples/sec accuracy=28.695312 loss=3.282252 lr=0.099960 Epoch[036] Batch [0249]/[3760] Speed: 117.258616 samples/sec accuracy=28.787500 loss=3.269111 lr=0.099960 Epoch[036] Batch [0299]/[3760] Speed: 117.397444 samples/sec accuracy=28.817708 loss=3.267150 lr=0.099959 Epoch[036] Batch [0349]/[3760] Speed: 117.306903 samples/sec accuracy=28.821429 loss=3.262550 lr=0.099959 Epoch[036] Batch [0399]/[3760] Speed: 115.159473 samples/sec accuracy=28.960938 loss=3.259001 lr=0.099958 Epoch[036] Batch [0449]/[3760] Speed: 117.671379 samples/sec accuracy=29.121528 loss=3.263608 lr=0.099958 Epoch[036] Batch [0499]/[3760] Speed: 117.869018 samples/sec accuracy=29.043750 loss=3.266829 lr=0.099957 Epoch[036] Batch [0549]/[3760] Speed: 116.958662 samples/sec accuracy=29.011364 loss=3.270679 lr=0.099956 Epoch[036] Batch [0599]/[3760] Speed: 117.800067 samples/sec accuracy=28.966146 loss=3.276675 lr=0.099956 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loss=3.284000 lr=0.099945 Epoch[036] Batch [1599]/[3760] Speed: 117.816037 samples/sec accuracy=28.909180 loss=3.284371 lr=0.099944 Epoch[036] Batch [1649]/[3760] Speed: 116.753880 samples/sec accuracy=28.892992 loss=3.285667 lr=0.099944 Epoch[036] Batch [1699]/[3760] Speed: 117.079430 samples/sec accuracy=28.921875 loss=3.285053 lr=0.099943 Epoch[036] Batch [1749]/[3760] Speed: 116.516790 samples/sec accuracy=28.937500 loss=3.284871 lr=0.099943 Epoch[036] Batch [1799]/[3760] Speed: 117.278125 samples/sec accuracy=28.915799 loss=3.284269 lr=0.099942 Epoch[036] Batch [1849]/[3760] Speed: 118.351545 samples/sec accuracy=28.898649 loss=3.284407 lr=0.099941 Epoch[036] Batch [1899]/[3760] Speed: 117.473333 samples/sec accuracy=28.836349 loss=3.287060 lr=0.099941 Epoch[036] Batch [1949]/[3760] Speed: 117.236139 samples/sec accuracy=28.836538 loss=3.287729 lr=0.099940 Epoch[036] Batch [1999]/[3760] Speed: 116.394724 samples/sec accuracy=28.805469 loss=3.289012 lr=0.099939 Epoch[036] Batch 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accuracy=28.783125 loss=3.288593 lr=0.099933 Epoch[036] Batch [2549]/[3760] Speed: 116.807944 samples/sec accuracy=28.778186 loss=3.289354 lr=0.099932 Epoch[036] Batch [2599]/[3760] Speed: 116.814858 samples/sec accuracy=28.758413 loss=3.289800 lr=0.099932 Epoch[036] Batch [2649]/[3760] Speed: 117.285255 samples/sec accuracy=28.742335 loss=3.289613 lr=0.099931 Epoch[036] Batch [2699]/[3760] Speed: 117.449599 samples/sec accuracy=28.730324 loss=3.290283 lr=0.099930 Epoch[036] Batch [2749]/[3760] Speed: 117.925721 samples/sec accuracy=28.740341 loss=3.289718 lr=0.099930 Epoch[036] Batch [2799]/[3760] Speed: 117.034103 samples/sec accuracy=28.762835 loss=3.289014 lr=0.099929 Epoch[036] Batch [2849]/[3760] Speed: 118.453123 samples/sec accuracy=28.762061 loss=3.289415 lr=0.099928 Epoch[036] Batch [2899]/[3760] Speed: 117.317212 samples/sec accuracy=28.766703 loss=3.289383 lr=0.099927 Epoch[036] Batch [2949]/[3760] Speed: 117.397547 samples/sec accuracy=28.762712 loss=3.290263 lr=0.099927 Epoch[036] Batch [2999]/[3760] Speed: 116.539821 samples/sec accuracy=28.764583 loss=3.290109 lr=0.099926 Epoch[036] Batch [3049]/[3760] Speed: 118.022913 samples/sec accuracy=28.779201 loss=3.290579 lr=0.099925 Epoch[036] Batch [3099]/[3760] Speed: 117.469768 samples/sec accuracy=28.775202 loss=3.290840 lr=0.099925 Epoch[036] Batch [3149]/[3760] Speed: 117.000098 samples/sec accuracy=28.751984 loss=3.292069 lr=0.099924 Epoch[036] Batch [3199]/[3760] Speed: 116.714112 samples/sec accuracy=28.750488 loss=3.292113 lr=0.099923 Epoch[036] Batch [3249]/[3760] Speed: 116.891625 samples/sec accuracy=28.765385 loss=3.291151 lr=0.099923 Epoch[036] Batch [3299]/[3760] Speed: 117.658384 samples/sec accuracy=28.760890 loss=3.291605 lr=0.099922 Epoch[036] Batch [3349]/[3760] Speed: 116.868052 samples/sec accuracy=28.756063 loss=3.292636 lr=0.099921 Epoch[036] Batch [3399]/[3760] Speed: 117.393654 samples/sec accuracy=28.768382 loss=3.291954 lr=0.099920 Epoch[036] Batch [3449]/[3760] Speed: 117.107907 samples/sec accuracy=28.754982 loss=3.292043 lr=0.099920 Epoch[036] Batch [3499]/[3760] Speed: 117.818932 samples/sec accuracy=28.749107 loss=3.292408 lr=0.099919 Epoch[036] Batch [3549]/[3760] Speed: 117.532689 samples/sec accuracy=28.772887 loss=3.291578 lr=0.099918 Epoch[036] Batch [3599]/[3760] Speed: 116.986593 samples/sec accuracy=28.770833 loss=3.291737 lr=0.099917 Epoch[036] Batch [3649]/[3760] Speed: 117.541750 samples/sec accuracy=28.770548 loss=3.291975 lr=0.099917 Epoch[036] Batch [3699]/[3760] Speed: 117.467845 samples/sec accuracy=28.752111 loss=3.291981 lr=0.099916 Epoch[036] Batch [3749]/[3760] Speed: 120.522585 samples/sec accuracy=28.779583 loss=3.291776 lr=0.099915 Batch [0049]/[0303]: acc-top1=27.156250 acc-top5=55.187500 Batch [0099]/[0303]: acc-top1=26.187500 acc-top5=53.000000 Batch [0149]/[0303]: acc-top1=27.468750 acc-top5=54.354167 Batch [0199]/[0303]: acc-top1=30.570313 acc-top5=56.976563 Batch [0249]/[0303]: acc-top1=29.625000 acc-top5=56.712500 Batch [0299]/[0303]: acc-top1=29.192708 acc-top5=56.489583 [Epoch 036] training: accuracy=28.782829 loss=3.291787 [Epoch 036] speed: 116 samples/sec time cost: 2181.849386 [Epoch 036] validation: acc-top1=29.202764 acc-top5=56.435644 loss=3.308287 Epoch[037] Batch [0049]/[3759] Speed: 88.037554 samples/sec accuracy=27.031250 loss=3.387527 lr=0.099914 Epoch[037] Batch [0099]/[3759] Speed: 116.954141 samples/sec accuracy=28.421875 loss=3.327434 lr=0.099914 Epoch[037] Batch [0149]/[3759] Speed: 116.925624 samples/sec accuracy=28.468750 loss=3.316905 lr=0.099913 Epoch[037] Batch [0199]/[3759] Speed: 116.641482 samples/sec accuracy=28.742188 loss=3.304829 lr=0.099912 Epoch[037] Batch [0249]/[3759] Speed: 116.762062 samples/sec accuracy=28.606250 loss=3.300091 lr=0.099911 Epoch[037] Batch [0299]/[3759] Speed: 115.624732 samples/sec accuracy=28.390625 loss=3.311062 lr=0.099910 Epoch[037] Batch [0349]/[3759] Speed: 117.546509 samples/sec accuracy=28.468750 loss=3.309567 lr=0.099910 Epoch[037] 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loss=3.289160 lr=0.099851 Epoch[037] Batch [3699]/[3759] Speed: 117.639269 samples/sec accuracy=28.898226 loss=3.289796 lr=0.099850 Epoch[037] Batch [3749]/[3759] Speed: 120.685823 samples/sec accuracy=28.884583 loss=3.290758 lr=0.099849 Batch [0049]/[0303]: acc-top1=29.093750 acc-top5=55.968750 Batch [0099]/[0303]: acc-top1=26.609375 acc-top5=53.093750 Batch [0149]/[0303]: acc-top1=28.166667 acc-top5=54.395833 Batch [0199]/[0303]: acc-top1=31.375000 acc-top5=56.820312 Batch [0249]/[0303]: acc-top1=30.875000 acc-top5=56.925000 Batch [0299]/[0303]: acc-top1=30.250000 acc-top5=56.963542 [Epoch 037] training: accuracy=28.889831 loss=3.290673 [Epoch 037] speed: 116 samples/sec time cost: 2181.729977 [Epoch 037] validation: acc-top1=30.337252 acc-top5=57.023515 loss=3.295321 Epoch[038] Batch [0049]/[3760] Speed: 86.606035 samples/sec accuracy=28.812500 loss=3.282275 lr=0.099848 Epoch[038] Batch [0099]/[3760] Speed: 117.771641 samples/sec accuracy=29.609375 loss=3.245500 lr=0.099847 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accuracy=28.928125 loss=3.278862 lr=0.099806 Epoch[038] Batch [2049]/[3760] Speed: 116.490903 samples/sec accuracy=28.903963 loss=3.280322 lr=0.099805 Epoch[038] Batch [2099]/[3760] Speed: 117.174200 samples/sec accuracy=28.874256 loss=3.280919 lr=0.099804 Epoch[038] Batch [2149]/[3760] Speed: 117.381880 samples/sec accuracy=28.832849 loss=3.282909 lr=0.099803 Epoch[038] Batch [2199]/[3760] Speed: 117.355291 samples/sec accuracy=28.826705 loss=3.284955 lr=0.099802 Epoch[038] Batch [2249]/[3760] Speed: 117.726417 samples/sec accuracy=28.829167 loss=3.285804 lr=0.099801 Epoch[038] Batch [2299]/[3760] Speed: 116.723604 samples/sec accuracy=28.851902 loss=3.285435 lr=0.099800 Epoch[038] Batch [2349]/[3760] Speed: 117.505929 samples/sec accuracy=28.839096 loss=3.286884 lr=0.099798 Epoch[038] Batch [2399]/[3760] Speed: 117.819857 samples/sec accuracy=28.840495 loss=3.285993 lr=0.099797 Epoch[038] Batch [2449]/[3760] Speed: 117.337499 samples/sec accuracy=28.843750 loss=3.286374 lr=0.099796 Epoch[038] Batch [2499]/[3760] Speed: 117.877263 samples/sec accuracy=28.845625 loss=3.286365 lr=0.099795 Epoch[038] Batch [2549]/[3760] Speed: 116.841742 samples/sec accuracy=28.832108 loss=3.286285 lr=0.099794 Epoch[038] Batch [2599]/[3760] Speed: 116.349508 samples/sec accuracy=28.826322 loss=3.285593 lr=0.099793 Epoch[038] Batch [2649]/[3760] Speed: 118.216870 samples/sec accuracy=28.836085 loss=3.284808 lr=0.099791 Epoch[038] Batch [2699]/[3760] Speed: 117.911625 samples/sec accuracy=28.828704 loss=3.285603 lr=0.099790 Epoch[038] Batch [2749]/[3760] Speed: 116.982708 samples/sec accuracy=28.850568 loss=3.286348 lr=0.099789 Epoch[038] Batch [2799]/[3760] Speed: 117.608103 samples/sec accuracy=28.832589 loss=3.287353 lr=0.099788 Epoch[038] Batch [2849]/[3760] Speed: 116.961120 samples/sec accuracy=28.832237 loss=3.286606 lr=0.099787 Epoch[038] Batch [2899]/[3760] Speed: 117.440184 samples/sec accuracy=28.857220 loss=3.286120 lr=0.099786 Epoch[038] Batch [2949]/[3760] Speed: 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loss=3.288498 lr=0.099773 Epoch[038] Batch [3449]/[3760] Speed: 117.551197 samples/sec accuracy=28.834692 loss=3.288545 lr=0.099772 Epoch[038] Batch [3499]/[3760] Speed: 116.697882 samples/sec accuracy=28.843750 loss=3.287867 lr=0.099771 Epoch[038] Batch [3549]/[3760] Speed: 116.837937 samples/sec accuracy=28.850352 loss=3.288145 lr=0.099770 Epoch[038] Batch [3599]/[3760] Speed: 117.828783 samples/sec accuracy=28.846354 loss=3.288016 lr=0.099768 Epoch[038] Batch [3649]/[3760] Speed: 116.967695 samples/sec accuracy=28.854024 loss=3.287734 lr=0.099767 Epoch[038] Batch [3699]/[3760] Speed: 117.710845 samples/sec accuracy=28.842483 loss=3.287897 lr=0.099766 Epoch[038] Batch [3749]/[3760] Speed: 120.203809 samples/sec accuracy=28.836250 loss=3.288290 lr=0.099765 Batch [0049]/[0303]: acc-top1=30.218750 acc-top5=57.000000 Batch [0099]/[0303]: acc-top1=28.750000 acc-top5=55.218750 Batch [0149]/[0303]: acc-top1=29.604167 acc-top5=55.791667 Batch [0199]/[0303]: acc-top1=32.250000 acc-top5=57.734375 Batch [0249]/[0303]: acc-top1=30.956250 acc-top5=57.787500 Batch [0299]/[0303]: acc-top1=30.489583 acc-top5=57.734375 [Epoch 038] training: accuracy=28.843085 loss=3.288165 [Epoch 038] speed: 116 samples/sec time cost: 2182.094711 [Epoch 038] validation: acc-top1=30.486799 acc-top5=57.735149 loss=3.218359 Epoch[039] Batch [0049]/[3760] Speed: 88.968714 samples/sec accuracy=27.718750 loss=3.276131 lr=0.099763 Epoch[039] Batch [0099]/[3760] Speed: 117.827290 samples/sec accuracy=28.703125 loss=3.255109 lr=0.099762 Epoch[039] Batch [0149]/[3760] Speed: 117.671103 samples/sec accuracy=28.562500 loss=3.265388 lr=0.099761 Epoch[039] Batch [0199]/[3760] Speed: 117.380311 samples/sec accuracy=28.585938 loss=3.257746 lr=0.099759 Epoch[039] Batch [0249]/[3760] Speed: 117.984899 samples/sec accuracy=28.606250 loss=3.269641 lr=0.099758 Epoch[039] Batch [0299]/[3760] Speed: 117.166608 samples/sec accuracy=28.515625 loss=3.277160 lr=0.099757 Epoch[039] Batch [0349]/[3760] Speed: 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[3649]/[3760] Speed: 117.417026 samples/sec accuracy=28.926370 loss=3.283188 lr=0.099664 Epoch[039] Batch [3699]/[3760] Speed: 117.315481 samples/sec accuracy=28.924831 loss=3.283667 lr=0.099663 Epoch[039] Batch [3749]/[3760] Speed: 120.334297 samples/sec accuracy=28.920417 loss=3.283561 lr=0.099661 Batch [0049]/[0303]: acc-top1=25.625000 acc-top5=52.531250 Batch [0099]/[0303]: acc-top1=24.203125 acc-top5=50.125000 Batch [0149]/[0303]: acc-top1=25.770833 acc-top5=52.322917 Batch [0199]/[0303]: acc-top1=28.093750 acc-top5=54.085938 Batch [0249]/[0303]: acc-top1=27.731250 acc-top5=54.168750 Batch [0299]/[0303]: acc-top1=27.364583 acc-top5=53.770833 [Epoch 039] training: accuracy=28.918717 loss=3.283395 [Epoch 039] speed: 116 samples/sec time cost: 2176.714819 [Epoch 039] validation: acc-top1=27.310231 acc-top5=53.759282 loss=3.487343 Epoch[040] Batch [0049]/[3759] Speed: 88.643856 samples/sec accuracy=30.218750 loss=3.232169 lr=0.099660 Epoch[040] Batch [0099]/[3759] Speed: 117.843205 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accuracy=29.129167 loss=3.275234 lr=0.099615 Epoch[040] Batch [1549]/[3759] Speed: 117.620745 samples/sec accuracy=29.111895 loss=3.276989 lr=0.099613 Epoch[040] Batch [1599]/[3759] Speed: 117.728715 samples/sec accuracy=29.133789 loss=3.276755 lr=0.099611 Epoch[040] Batch [1649]/[3759] Speed: 117.631008 samples/sec accuracy=29.130682 loss=3.276718 lr=0.099610 Epoch[040] Batch [1699]/[3759] Speed: 117.161716 samples/sec accuracy=29.115809 loss=3.278402 lr=0.099608 Epoch[040] Batch [1749]/[3759] Speed: 117.269550 samples/sec accuracy=29.086607 loss=3.279923 lr=0.099607 Epoch[040] Batch [1799]/[3759] Speed: 116.622792 samples/sec accuracy=29.118056 loss=3.278473 lr=0.099605 Epoch[040] Batch [1849]/[3759] Speed: 117.934266 samples/sec accuracy=29.093750 loss=3.279651 lr=0.099603 Epoch[040] Batch [1899]/[3759] Speed: 117.913395 samples/sec accuracy=29.121711 loss=3.277791 lr=0.099602 Epoch[040] Batch [1949]/[3759] Speed: 117.321892 samples/sec accuracy=29.104968 loss=3.278576 lr=0.099600 Epoch[040] Batch [1999]/[3759] Speed: 117.859383 samples/sec accuracy=29.100781 loss=3.279240 lr=0.099599 Epoch[040] Batch [2049]/[3759] Speed: 116.845410 samples/sec accuracy=29.108994 loss=3.279119 lr=0.099597 Epoch[040] Batch [2099]/[3759] Speed: 113.981684 samples/sec accuracy=29.078869 loss=3.280176 lr=0.099595 Epoch[040] Batch [2149]/[3759] Speed: 117.174507 samples/sec accuracy=29.066860 loss=3.279939 lr=0.099594 Epoch[040] Batch [2199]/[3759] Speed: 117.420833 samples/sec accuracy=29.091619 loss=3.279118 lr=0.099592 Epoch[040] Batch [2249]/[3759] Speed: 117.305038 samples/sec accuracy=29.064583 loss=3.279902 lr=0.099590 Epoch[040] Batch [2299]/[3759] Speed: 117.186677 samples/sec accuracy=29.054348 loss=3.280810 lr=0.099589 Epoch[040] Batch [2349]/[3759] Speed: 116.984615 samples/sec accuracy=29.036569 loss=3.281599 lr=0.099587 Epoch[040] Batch [2399]/[3759] Speed: 117.250517 samples/sec accuracy=29.074219 loss=3.279574 lr=0.099585 Epoch[040] Batch [2449]/[3759] Speed: 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loss=3.276426 lr=0.099569 Epoch[040] Batch [2949]/[3759] Speed: 117.906898 samples/sec accuracy=29.118114 loss=3.276190 lr=0.099567 Epoch[040] Batch [2999]/[3759] Speed: 116.778891 samples/sec accuracy=29.096875 loss=3.277165 lr=0.099565 Epoch[040] Batch [3049]/[3759] Speed: 117.352320 samples/sec accuracy=29.073770 loss=3.277844 lr=0.099564 Epoch[040] Batch [3099]/[3759] Speed: 116.712978 samples/sec accuracy=29.072581 loss=3.277763 lr=0.099562 Epoch[040] Batch [3149]/[3759] Speed: 117.250649 samples/sec accuracy=29.053571 loss=3.278254 lr=0.099560 Epoch[040] Batch [3199]/[3759] Speed: 117.992188 samples/sec accuracy=29.057617 loss=3.277480 lr=0.099558 Epoch[040] Batch [3249]/[3759] Speed: 117.818905 samples/sec accuracy=29.046154 loss=3.277968 lr=0.099557 Epoch[040] Batch [3299]/[3759] Speed: 117.381737 samples/sec accuracy=29.021780 loss=3.278405 lr=0.099555 Epoch[040] Batch [3349]/[3759] Speed: 117.470499 samples/sec accuracy=29.027052 loss=3.278171 lr=0.099553 Epoch[040] Batch [3399]/[3759] Speed: 117.260511 samples/sec accuracy=29.005974 loss=3.278910 lr=0.099552 Epoch[040] Batch [3449]/[3759] Speed: 117.555491 samples/sec accuracy=29.015851 loss=3.278714 lr=0.099550 Epoch[040] Batch [3499]/[3759] Speed: 117.351001 samples/sec accuracy=28.994643 loss=3.279545 lr=0.099548 Epoch[040] Batch [3549]/[3759] Speed: 117.592802 samples/sec accuracy=28.989437 loss=3.279596 lr=0.099546 Epoch[040] Batch [3599]/[3759] Speed: 117.410918 samples/sec accuracy=29.004340 loss=3.279359 lr=0.099545 Epoch[040] Batch [3649]/[3759] Speed: 117.013322 samples/sec accuracy=28.992723 loss=3.279634 lr=0.099543 Epoch[040] Batch [3699]/[3759] Speed: 117.484594 samples/sec accuracy=28.997044 loss=3.279804 lr=0.099541 Epoch[040] Batch [3749]/[3759] Speed: 121.008723 samples/sec accuracy=28.999167 loss=3.279812 lr=0.099539 Batch [0049]/[0303]: acc-top1=27.000000 acc-top5=54.000000 Batch [0099]/[0303]: acc-top1=26.281250 acc-top5=52.078125 Batch [0149]/[0303]: acc-top1=27.281250 acc-top5=53.187500 Batch [0199]/[0303]: acc-top1=29.851562 acc-top5=54.992188 Batch [0249]/[0303]: acc-top1=28.875000 acc-top5=54.825000 Batch [0299]/[0303]: acc-top1=28.786458 acc-top5=55.171875 [Epoch 040] training: accuracy=29.000815 loss=3.279935 [Epoch 040] speed: 116 samples/sec time cost: 2177.636565 [Epoch 040] validation: acc-top1=28.846947 acc-top5=55.192863 loss=3.351056 Epoch[041] Batch [0049]/[3760] Speed: 88.393528 samples/sec accuracy=30.406250 loss=3.230937 lr=0.099537 Epoch[041] Batch [0099]/[3760] Speed: 117.312888 samples/sec accuracy=30.015625 loss=3.248406 lr=0.099536 Epoch[041] Batch [0149]/[3760] Speed: 116.953877 samples/sec accuracy=29.854167 loss=3.243721 lr=0.099534 Epoch[041] Batch [0199]/[3760] Speed: 117.274674 samples/sec accuracy=29.609375 loss=3.257981 lr=0.099532 Epoch[041] Batch [0249]/[3760] Speed: 117.425316 samples/sec accuracy=29.450000 loss=3.256056 lr=0.099530 Epoch[041] Batch [0299]/[3760] Speed: 116.568208 samples/sec accuracy=29.515625 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accuracy=29.134115 loss=3.270305 lr=0.099405 Epoch[041] Batch [3649]/[3760] Speed: 117.710432 samples/sec accuracy=29.119007 loss=3.271232 lr=0.099403 Epoch[041] Batch [3699]/[3760] Speed: 116.767283 samples/sec accuracy=29.123311 loss=3.271443 lr=0.099401 Epoch[041] Batch [3749]/[3760] Speed: 120.751823 samples/sec accuracy=29.120000 loss=3.272321 lr=0.099399 Batch [0049]/[0303]: acc-top1=31.156250 acc-top5=56.718750 Batch [0099]/[0303]: acc-top1=28.156250 acc-top5=53.140625 Batch [0149]/[0303]: acc-top1=30.135417 acc-top5=55.708333 Batch [0199]/[0303]: acc-top1=32.695312 acc-top5=58.031250 Batch [0249]/[0303]: acc-top1=31.731250 acc-top5=57.631250 Batch [0299]/[0303]: acc-top1=31.588542 acc-top5=58.182292 [Epoch 041] training: accuracy=29.114445 loss=3.272503 [Epoch 041] speed: 116 samples/sec time cost: 2180.641979 [Epoch 041] validation: acc-top1=31.616130 acc-top5=58.281766 loss=3.111665 Epoch[042] Batch [0049]/[3760] Speed: 87.683585 samples/sec accuracy=29.093750 loss=3.264186 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accuracy=29.182813 loss=3.257953 lr=0.099358 Epoch[042] Batch [1049]/[3760] Speed: 117.294702 samples/sec accuracy=29.188988 loss=3.259147 lr=0.099356 Epoch[042] Batch [1099]/[3760] Speed: 116.930811 samples/sec accuracy=29.198864 loss=3.258726 lr=0.099354 Epoch[042] Batch [1149]/[3760] Speed: 117.143321 samples/sec accuracy=29.293478 loss=3.256013 lr=0.099352 Epoch[042] Batch [1199]/[3760] Speed: 117.178957 samples/sec accuracy=29.329427 loss=3.255910 lr=0.099350 Epoch[042] Batch [1249]/[3760] Speed: 117.641026 samples/sec accuracy=29.351250 loss=3.255802 lr=0.099348 Epoch[042] Batch [1299]/[3760] Speed: 117.348758 samples/sec accuracy=29.337740 loss=3.257244 lr=0.099345 Epoch[042] Batch [1349]/[3760] Speed: 117.301530 samples/sec accuracy=29.342593 loss=3.257480 lr=0.099343 Epoch[042] Batch [1399]/[3760] Speed: 117.831541 samples/sec accuracy=29.310268 loss=3.257958 lr=0.099341 Epoch[042] Batch [1449]/[3760] Speed: 116.389325 samples/sec accuracy=29.288793 loss=3.258025 lr=0.099339 Epoch[042] Batch [1499]/[3760] Speed: 118.179240 samples/sec accuracy=29.281250 loss=3.256390 lr=0.099337 Epoch[042] Batch [1549]/[3760] Speed: 117.570246 samples/sec accuracy=29.278226 loss=3.256890 lr=0.099335 Epoch[042] Batch [1599]/[3760] Speed: 117.302665 samples/sec accuracy=29.303711 loss=3.254134 lr=0.099333 Epoch[042] Batch [1649]/[3760] Speed: 117.590048 samples/sec accuracy=29.286932 loss=3.254037 lr=0.099331 Epoch[042] Batch [1699]/[3760] Speed: 117.328259 samples/sec accuracy=29.307904 loss=3.254110 lr=0.099329 Epoch[042] Batch [1749]/[3760] Speed: 117.627577 samples/sec accuracy=29.275893 loss=3.257183 lr=0.099327 Epoch[042] Batch [1799]/[3760] Speed: 117.106275 samples/sec accuracy=29.268229 loss=3.257332 lr=0.099324 Epoch[042] Batch [1849]/[3760] Speed: 116.890239 samples/sec accuracy=29.259291 loss=3.257885 lr=0.099322 Epoch[042] Batch [1899]/[3760] Speed: 117.062964 samples/sec accuracy=29.286184 loss=3.257292 lr=0.099320 Epoch[042] Batch [1949]/[3760] Speed: 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loss=3.262127 lr=0.099299 Epoch[042] Batch [2449]/[3760] Speed: 117.004322 samples/sec accuracy=29.188776 loss=3.261787 lr=0.099297 Epoch[042] Batch [2499]/[3760] Speed: 116.561321 samples/sec accuracy=29.213750 loss=3.262365 lr=0.099295 Epoch[042] Batch [2549]/[3760] Speed: 117.586662 samples/sec accuracy=29.240196 loss=3.262340 lr=0.099292 Epoch[042] Batch [2599]/[3760] Speed: 116.799358 samples/sec accuracy=29.254207 loss=3.262139 lr=0.099290 Epoch[042] Batch [2649]/[3760] Speed: 117.338287 samples/sec accuracy=29.250000 loss=3.262339 lr=0.099288 Epoch[042] Batch [2699]/[3760] Speed: 116.907303 samples/sec accuracy=29.255787 loss=3.261857 lr=0.099286 Epoch[042] Batch [2749]/[3760] Speed: 116.760092 samples/sec accuracy=29.277841 loss=3.261264 lr=0.099284 Epoch[042] Batch [2799]/[3760] Speed: 117.592746 samples/sec accuracy=29.251116 loss=3.261799 lr=0.099282 Epoch[042] Batch [2849]/[3760] Speed: 118.185613 samples/sec accuracy=29.249452 loss=3.262294 lr=0.099279 Epoch[042] Batch [2899]/[3760] Speed: 116.454824 samples/sec accuracy=29.247306 loss=3.262391 lr=0.099277 Epoch[042] Batch [2949]/[3760] Speed: 116.949120 samples/sec accuracy=29.233051 loss=3.263229 lr=0.099275 Epoch[042] Batch [2999]/[3760] Speed: 117.754984 samples/sec accuracy=29.233333 loss=3.263275 lr=0.099273 Epoch[042] Batch [3049]/[3760] Speed: 117.397888 samples/sec accuracy=29.237193 loss=3.263196 lr=0.099271 Epoch[042] Batch [3099]/[3760] Speed: 118.146111 samples/sec accuracy=29.223286 loss=3.263800 lr=0.099268 Epoch[042] Batch [3149]/[3760] Speed: 117.304168 samples/sec accuracy=29.241071 loss=3.263246 lr=0.099266 Epoch[042] Batch [3199]/[3760] Speed: 118.153831 samples/sec accuracy=29.245605 loss=3.263288 lr=0.099264 Epoch[042] Batch [3249]/[3760] Speed: 117.441655 samples/sec accuracy=29.257692 loss=3.262883 lr=0.099262 Epoch[042] Batch [3299]/[3760] Speed: 117.537729 samples/sec accuracy=29.245265 loss=3.263594 lr=0.099260 Epoch[042] Batch [3349]/[3760] Speed: 116.477067 samples/sec accuracy=29.244403 loss=3.263250 lr=0.099257 Epoch[042] Batch [3399]/[3760] Speed: 117.689675 samples/sec accuracy=29.255055 loss=3.263723 lr=0.099255 Epoch[042] Batch [3449]/[3760] Speed: 116.996753 samples/sec accuracy=29.254529 loss=3.263536 lr=0.099253 Epoch[042] Batch [3499]/[3760] Speed: 117.046872 samples/sec accuracy=29.231250 loss=3.264044 lr=0.099251 Epoch[042] Batch [3549]/[3760] Speed: 118.041615 samples/sec accuracy=29.226673 loss=3.263956 lr=0.099249 Epoch[042] Batch [3599]/[3760] Speed: 117.042581 samples/sec accuracy=29.221354 loss=3.264272 lr=0.099246 Epoch[042] Batch [3649]/[3760] Speed: 117.030277 samples/sec accuracy=29.216610 loss=3.264277 lr=0.099244 Epoch[042] Batch [3699]/[3760] Speed: 117.669862 samples/sec accuracy=29.250000 loss=3.263248 lr=0.099242 Epoch[042] Batch [3749]/[3760] Speed: 121.127100 samples/sec accuracy=29.259583 loss=3.263506 lr=0.099240 Batch [0049]/[0303]: acc-top1=30.812500 acc-top5=58.562500 Batch [0099]/[0303]: acc-top1=28.828125 acc-top5=55.703125 Batch [0149]/[0303]: acc-top1=29.322917 acc-top5=56.458333 Batch [0199]/[0303]: acc-top1=31.921875 acc-top5=58.750000 Batch [0249]/[0303]: acc-top1=31.062500 acc-top5=58.287500 Batch [0299]/[0303]: acc-top1=30.635417 acc-top5=57.984375 [Epoch 042] training: accuracy=29.254488 loss=3.263823 [Epoch 042] speed: 116 samples/sec time cost: 2180.650544 [Epoch 042] validation: acc-top1=30.682756 acc-top5=57.967203 loss=3.300012 Epoch[043] Batch [0049]/[3759] Speed: 86.837143 samples/sec accuracy=29.343750 loss=3.232805 lr=0.099237 Epoch[043] Batch [0099]/[3759] Speed: 117.274467 samples/sec accuracy=29.265625 loss=3.241923 lr=0.099235 Epoch[043] Batch [0149]/[3759] Speed: 117.611095 samples/sec accuracy=29.541667 loss=3.223502 lr=0.099232 Epoch[043] Batch [0199]/[3759] Speed: 117.343388 samples/sec accuracy=29.437500 loss=3.230448 lr=0.099230 Epoch[043] Batch [0249]/[3759] Speed: 117.858313 samples/sec accuracy=29.381250 loss=3.235998 lr=0.099228 Epoch[043] Batch 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accuracy=29.302923 loss=3.260785 lr=0.099094 Epoch[043] Batch [3149]/[3759] Speed: 116.848547 samples/sec accuracy=29.308036 loss=3.260377 lr=0.099091 Epoch[043] Batch [3199]/[3759] Speed: 117.419167 samples/sec accuracy=29.318359 loss=3.260150 lr=0.099089 Epoch[043] Batch [3249]/[3759] Speed: 116.956222 samples/sec accuracy=29.318750 loss=3.259656 lr=0.099087 Epoch[043] Batch [3299]/[3759] Speed: 117.124670 samples/sec accuracy=29.306345 loss=3.260402 lr=0.099084 Epoch[043] Batch [3349]/[3759] Speed: 116.873799 samples/sec accuracy=29.307369 loss=3.260931 lr=0.099082 Epoch[043] Batch [3399]/[3759] Speed: 117.008170 samples/sec accuracy=29.292739 loss=3.261003 lr=0.099079 Epoch[043] Batch [3449]/[3759] Speed: 117.407179 samples/sec accuracy=29.318388 loss=3.260987 lr=0.099077 Epoch[043] Batch [3499]/[3759] Speed: 117.149467 samples/sec accuracy=29.318750 loss=3.261265 lr=0.099074 Epoch[043] Batch [3549]/[3759] Speed: 117.467857 samples/sec accuracy=29.324384 loss=3.261379 lr=0.099072 Epoch[043] Batch [3599]/[3759] Speed: 116.958632 samples/sec accuracy=29.317274 loss=3.261725 lr=0.099069 Epoch[043] Batch [3649]/[3759] Speed: 116.794653 samples/sec accuracy=29.326199 loss=3.261706 lr=0.099067 Epoch[043] Batch [3699]/[3759] Speed: 117.363645 samples/sec accuracy=29.313345 loss=3.262322 lr=0.099064 Epoch[043] Batch [3749]/[3759] Speed: 120.201567 samples/sec accuracy=29.320417 loss=3.262575 lr=0.099062 Batch [0049]/[0303]: acc-top1=29.062500 acc-top5=55.593750 Batch [0099]/[0303]: acc-top1=27.000000 acc-top5=53.265625 Batch [0149]/[0303]: acc-top1=27.895833 acc-top5=54.031250 Batch [0199]/[0303]: acc-top1=30.351562 acc-top5=56.820312 Batch [0249]/[0303]: acc-top1=29.700000 acc-top5=56.512500 Batch [0299]/[0303]: acc-top1=29.260417 acc-top5=56.651042 [Epoch 043] training: accuracy=29.319217 loss=3.262795 [Epoch 043] speed: 116 samples/sec time cost: 2180.302156 [Epoch 043] validation: acc-top1=29.336840 acc-top5=56.708952 loss=3.289093 Epoch[044] Batch [0049]/[3760] 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accuracy=29.703125 loss=3.245801 lr=0.099036 Epoch[044] Batch [0549]/[3760] Speed: 117.356595 samples/sec accuracy=29.752841 loss=3.245460 lr=0.099034 Epoch[044] Batch [0599]/[3760] Speed: 117.027243 samples/sec accuracy=29.750000 loss=3.244120 lr=0.099031 Epoch[044] Batch [0649]/[3760] Speed: 116.279384 samples/sec accuracy=29.699519 loss=3.243642 lr=0.099029 Epoch[044] Batch [0699]/[3760] Speed: 117.652342 samples/sec accuracy=29.582589 loss=3.246520 lr=0.099026 Epoch[044] Batch [0749]/[3760] Speed: 116.813566 samples/sec accuracy=29.722917 loss=3.244493 lr=0.099024 Epoch[044] Batch [0799]/[3760] Speed: 117.710048 samples/sec accuracy=29.666016 loss=3.244790 lr=0.099021 Epoch[044] Batch [0849]/[3760] Speed: 117.373296 samples/sec accuracy=29.698529 loss=3.241606 lr=0.099019 Epoch[044] Batch [0899]/[3760] Speed: 117.097726 samples/sec accuracy=29.796875 loss=3.240702 lr=0.099016 Epoch[044] Batch [0949]/[3760] Speed: 117.717786 samples/sec accuracy=29.797697 loss=3.241548 lr=0.099014 Epoch[044] Batch [0999]/[3760] Speed: 116.501449 samples/sec accuracy=29.776562 loss=3.241900 lr=0.099011 Epoch[044] Batch [1049]/[3760] Speed: 117.476713 samples/sec accuracy=29.773810 loss=3.241517 lr=0.099008 Epoch[044] Batch [1099]/[3760] Speed: 117.058355 samples/sec accuracy=29.775568 loss=3.240879 lr=0.099006 Epoch[044] Batch [1149]/[3760] Speed: 118.141832 samples/sec accuracy=29.760870 loss=3.242314 lr=0.099003 Epoch[044] Batch [1199]/[3760] Speed: 117.699396 samples/sec accuracy=29.688802 loss=3.244691 lr=0.099001 Epoch[044] Batch [1249]/[3760] Speed: 117.314993 samples/sec accuracy=29.630000 loss=3.247374 lr=0.098998 Epoch[044] Batch [1299]/[3760] Speed: 117.626815 samples/sec accuracy=29.614183 loss=3.246222 lr=0.098996 Epoch[044] Batch [1349]/[3760] Speed: 117.041669 samples/sec accuracy=29.634259 loss=3.247814 lr=0.098993 Epoch[044] Batch [1399]/[3760] Speed: 117.405878 samples/sec accuracy=29.645089 loss=3.245299 lr=0.098990 Epoch[044] Batch [1449]/[3760] Speed: 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loss=3.246353 lr=0.098964 Epoch[044] Batch [1949]/[3760] Speed: 117.955066 samples/sec accuracy=29.583333 loss=3.248233 lr=0.098962 Epoch[044] Batch [1999]/[3760] Speed: 118.017104 samples/sec accuracy=29.582812 loss=3.246742 lr=0.098959 Epoch[044] Batch [2049]/[3760] Speed: 117.058366 samples/sec accuracy=29.592988 loss=3.247715 lr=0.098957 Epoch[044] Batch [2099]/[3760] Speed: 116.912228 samples/sec accuracy=29.581845 loss=3.247720 lr=0.098954 Epoch[044] Batch [2149]/[3760] Speed: 117.771727 samples/sec accuracy=29.594477 loss=3.248031 lr=0.098951 Epoch[044] Batch [2199]/[3760] Speed: 117.905980 samples/sec accuracy=29.591619 loss=3.247308 lr=0.098949 Epoch[044] Batch [2249]/[3760] Speed: 117.653450 samples/sec accuracy=29.566667 loss=3.246719 lr=0.098946 Epoch[044] Batch [2299]/[3760] Speed: 117.835379 samples/sec accuracy=29.561821 loss=3.247881 lr=0.098944 Epoch[044] Batch [2349]/[3760] Speed: 116.697692 samples/sec accuracy=29.591755 loss=3.246438 lr=0.098941 Epoch[044] Batch 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accuracy=29.611842 loss=3.247913 lr=0.098914 Epoch[044] Batch [2899]/[3760] Speed: 117.731342 samples/sec accuracy=29.591595 loss=3.248939 lr=0.098912 Epoch[044] Batch [2949]/[3760] Speed: 117.349466 samples/sec accuracy=29.590572 loss=3.249407 lr=0.098909 Epoch[044] Batch [2999]/[3760] Speed: 117.759666 samples/sec accuracy=29.607292 loss=3.249537 lr=0.098906 Epoch[044] Batch [3049]/[3760] Speed: 117.533918 samples/sec accuracy=29.614242 loss=3.249467 lr=0.098904 Epoch[044] Batch [3099]/[3760] Speed: 117.705561 samples/sec accuracy=29.617944 loss=3.249477 lr=0.098901 Epoch[044] Batch [3149]/[3760] Speed: 117.174016 samples/sec accuracy=29.623512 loss=3.249458 lr=0.098898 Epoch[044] Batch [3199]/[3760] Speed: 117.453695 samples/sec accuracy=29.606445 loss=3.250818 lr=0.098896 Epoch[044] Batch [3249]/[3760] Speed: 117.653910 samples/sec accuracy=29.588942 loss=3.251721 lr=0.098893 Epoch[044] Batch [3299]/[3760] Speed: 117.204671 samples/sec accuracy=29.566288 loss=3.252253 lr=0.098890 Epoch[044] Batch [3349]/[3760] Speed: 117.205236 samples/sec accuracy=29.574160 loss=3.251854 lr=0.098887 Epoch[044] Batch [3399]/[3760] Speed: 117.543425 samples/sec accuracy=29.581342 loss=3.251648 lr=0.098885 Epoch[044] Batch [3449]/[3760] Speed: 117.561565 samples/sec accuracy=29.558877 loss=3.253295 lr=0.098882 Epoch[044] Batch [3499]/[3760] Speed: 117.946611 samples/sec accuracy=29.563839 loss=3.253533 lr=0.098879 Epoch[044] Batch [3549]/[3760] Speed: 117.409359 samples/sec accuracy=29.572183 loss=3.254353 lr=0.098877 Epoch[044] Batch [3599]/[3760] Speed: 117.369348 samples/sec accuracy=29.564236 loss=3.254808 lr=0.098874 Epoch[044] Batch [3649]/[3760] Speed: 117.454154 samples/sec accuracy=29.561216 loss=3.255029 lr=0.098871 Epoch[044] Batch [3699]/[3760] Speed: 117.326883 samples/sec accuracy=29.575169 loss=3.254285 lr=0.098868 Epoch[044] Batch [3749]/[3760] Speed: 119.975687 samples/sec accuracy=29.568333 loss=3.254638 lr=0.098866 Batch [0049]/[0303]: acc-top1=30.500000 acc-top5=56.562500 Batch [0099]/[0303]: acc-top1=27.453125 acc-top5=53.343750 Batch [0149]/[0303]: acc-top1=29.739583 acc-top5=56.052083 Batch [0199]/[0303]: acc-top1=31.906250 acc-top5=58.218750 Batch [0249]/[0303]: acc-top1=31.343750 acc-top5=57.912500 Batch [0299]/[0303]: acc-top1=30.651042 acc-top5=57.937500 [Epoch 044] training: accuracy=29.556599 loss=3.255274 [Epoch 044] speed: 116 samples/sec time cost: 2179.034347 [Epoch 044] validation: acc-top1=30.651815 acc-top5=57.941419 loss=3.304818 Epoch[045] Batch [0049]/[3760] Speed: 87.090370 samples/sec accuracy=29.562500 loss=3.237085 lr=0.098862 Epoch[045] Batch [0099]/[3760] Speed: 117.579928 samples/sec accuracy=29.781250 loss=3.261583 lr=0.098860 Epoch[045] Batch [0149]/[3760] Speed: 117.449470 samples/sec accuracy=29.666667 loss=3.251042 lr=0.098857 Epoch[045] Batch [0199]/[3760] Speed: 116.679971 samples/sec accuracy=29.429688 loss=3.258834 lr=0.098854 Epoch[045] Batch [0249]/[3760] Speed: 116.915419 samples/sec accuracy=29.637500 loss=3.249983 lr=0.098851 Epoch[045] Batch [0299]/[3760] Speed: 117.748203 samples/sec accuracy=29.348958 loss=3.255299 lr=0.098849 Epoch[045] Batch [0349]/[3760] Speed: 117.174156 samples/sec accuracy=29.321429 loss=3.256704 lr=0.098846 Epoch[045] Batch [0399]/[3760] Speed: 116.953121 samples/sec accuracy=29.445312 loss=3.251346 lr=0.098843 Epoch[045] Batch [0449]/[3760] Speed: 117.350670 samples/sec accuracy=29.458333 loss=3.246342 lr=0.098840 Epoch[045] Batch [0499]/[3760] Speed: 116.527815 samples/sec accuracy=29.396875 loss=3.247886 lr=0.098838 Epoch[045] Batch [0549]/[3760] Speed: 116.624947 samples/sec accuracy=29.355114 loss=3.249024 lr=0.098835 Epoch[045] Batch [0599]/[3760] Speed: 116.600500 samples/sec accuracy=29.302083 loss=3.251588 lr=0.098832 Epoch[045] Batch [0649]/[3760] Speed: 116.399008 samples/sec accuracy=29.290865 loss=3.253782 lr=0.098829 Epoch[045] Batch [0699]/[3760] Speed: 117.432893 samples/sec accuracy=29.236607 loss=3.256309 lr=0.098827 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loss=3.244224 lr=0.098773 Epoch[045] Batch [1699]/[3760] Speed: 117.446864 samples/sec accuracy=29.738971 loss=3.244874 lr=0.098770 Epoch[045] Batch [1749]/[3760] Speed: 117.611130 samples/sec accuracy=29.697321 loss=3.245154 lr=0.098767 Epoch[045] Batch [1799]/[3760] Speed: 116.994867 samples/sec accuracy=29.710938 loss=3.245340 lr=0.098765 Epoch[045] Batch [1849]/[3760] Speed: 116.956646 samples/sec accuracy=29.692568 loss=3.246585 lr=0.098762 Epoch[045] Batch [1899]/[3760] Speed: 117.107471 samples/sec accuracy=29.688322 loss=3.245289 lr=0.098759 Epoch[045] Batch [1949]/[3760] Speed: 117.394693 samples/sec accuracy=29.649038 loss=3.246080 lr=0.098756 Epoch[045] Batch [1999]/[3760] Speed: 117.161155 samples/sec accuracy=29.624219 loss=3.248612 lr=0.098753 Epoch[045] Batch [2049]/[3760] Speed: 117.526033 samples/sec accuracy=29.599085 loss=3.249504 lr=0.098750 Epoch[045] Batch [2099]/[3760] Speed: 117.033859 samples/sec accuracy=29.571429 loss=3.251108 lr=0.098747 Epoch[045] Batch 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accuracy=29.525240 loss=3.252530 lr=0.098719 Epoch[045] Batch [2649]/[3760] Speed: 117.200752 samples/sec accuracy=29.519458 loss=3.252574 lr=0.098716 Epoch[045] Batch [2699]/[3760] Speed: 117.280667 samples/sec accuracy=29.543981 loss=3.251623 lr=0.098713 Epoch[045] Batch [2749]/[3760] Speed: 117.304497 samples/sec accuracy=29.553977 loss=3.251157 lr=0.098710 Epoch[045] Batch [2799]/[3760] Speed: 117.587719 samples/sec accuracy=29.554688 loss=3.250539 lr=0.098707 Epoch[045] Batch [2849]/[3760] Speed: 117.295005 samples/sec accuracy=29.562500 loss=3.250326 lr=0.098704 Epoch[045] Batch [2899]/[3760] Speed: 117.620813 samples/sec accuracy=29.579203 loss=3.249668 lr=0.098701 Epoch[045] Batch [2949]/[3760] Speed: 118.015015 samples/sec accuracy=29.564619 loss=3.250349 lr=0.098698 Epoch[045] Batch [2999]/[3760] Speed: 116.932302 samples/sec accuracy=29.571354 loss=3.249133 lr=0.098695 Epoch[045] Batch [3049]/[3760] Speed: 116.906135 samples/sec accuracy=29.558402 loss=3.249961 lr=0.098692 Epoch[045] Batch [3099]/[3760] Speed: 117.162959 samples/sec accuracy=29.554435 loss=3.250034 lr=0.098689 Epoch[045] Batch [3149]/[3760] Speed: 116.963244 samples/sec accuracy=29.573413 loss=3.249927 lr=0.098687 Epoch[045] Batch [3199]/[3760] Speed: 118.074666 samples/sec accuracy=29.569336 loss=3.249863 lr=0.098684 Epoch[045] Batch [3249]/[3760] Speed: 117.958736 samples/sec accuracy=29.562019 loss=3.249524 lr=0.098681 Epoch[045] Batch [3299]/[3760] Speed: 116.951881 samples/sec accuracy=29.552083 loss=3.250067 lr=0.098678 Epoch[045] Batch [3349]/[3760] Speed: 117.419248 samples/sec accuracy=29.543377 loss=3.251015 lr=0.098675 Epoch[045] Batch [3399]/[3760] Speed: 117.623493 samples/sec accuracy=29.533088 loss=3.250583 lr=0.098672 Epoch[045] Batch [3449]/[3760] Speed: 117.195256 samples/sec accuracy=29.538043 loss=3.249783 lr=0.098669 Epoch[045] Batch [3499]/[3760] Speed: 117.509141 samples/sec accuracy=29.551786 loss=3.250029 lr=0.098666 Epoch[045] Batch [3549]/[3760] Speed: 117.540706 samples/sec accuracy=29.552817 loss=3.249774 lr=0.098663 Epoch[045] Batch [3599]/[3760] Speed: 118.123877 samples/sec accuracy=29.552083 loss=3.249694 lr=0.098660 Epoch[045] Batch [3649]/[3760] Speed: 117.659741 samples/sec accuracy=29.554366 loss=3.249391 lr=0.098657 Epoch[045] Batch [3699]/[3760] Speed: 117.798462 samples/sec accuracy=29.565456 loss=3.249770 lr=0.098654 Epoch[045] Batch [3749]/[3760] Speed: 120.342821 samples/sec accuracy=29.563333 loss=3.250394 lr=0.098651 Batch [0049]/[0303]: acc-top1=32.062500 acc-top5=58.500000 Batch [0099]/[0303]: acc-top1=29.750000 acc-top5=56.812500 Batch [0149]/[0303]: acc-top1=30.666667 acc-top5=57.781250 Batch [0199]/[0303]: acc-top1=33.101562 acc-top5=59.765625 Batch [0249]/[0303]: acc-top1=32.993750 acc-top5=59.906250 Batch [0299]/[0303]: acc-top1=32.015625 acc-top5=59.406250 [Epoch 045] training: accuracy=29.561586 loss=3.250515 [Epoch 045] speed: 116 samples/sec time cost: 2180.882872 [Epoch 045] validation: acc-top1=32.002888 acc-top5=59.442038 loss=3.111359 Epoch[046] Batch [0049]/[3759] Speed: 88.973356 samples/sec accuracy=29.718750 loss=3.211418 lr=0.098647 Epoch[046] Batch [0099]/[3759] Speed: 116.419428 samples/sec accuracy=29.406250 loss=3.225780 lr=0.098644 Epoch[046] Batch [0149]/[3759] Speed: 117.535435 samples/sec accuracy=29.562500 loss=3.232839 lr=0.098642 Epoch[046] Batch [0199]/[3759] Speed: 117.331677 samples/sec accuracy=29.835938 loss=3.232783 lr=0.098639 Epoch[046] Batch [0249]/[3759] Speed: 117.435761 samples/sec accuracy=29.831250 loss=3.236302 lr=0.098636 Epoch[046] Batch [0299]/[3759] Speed: 116.813809 samples/sec accuracy=29.703125 loss=3.231057 lr=0.098633 Epoch[046] Batch [0349]/[3759] Speed: 117.538712 samples/sec accuracy=29.723214 loss=3.230866 lr=0.098630 Epoch[046] Batch [0399]/[3759] Speed: 117.977712 samples/sec accuracy=29.804688 loss=3.227875 lr=0.098627 Epoch[046] Batch [0449]/[3759] Speed: 117.697297 samples/sec accuracy=29.722222 loss=3.233685 lr=0.098624 Epoch[046] Batch [0499]/[3759] Speed: 116.856249 samples/sec accuracy=29.650000 loss=3.236906 lr=0.098621 Epoch[046] Batch [0549]/[3759] Speed: 117.484584 samples/sec accuracy=29.571023 loss=3.242678 lr=0.098618 Epoch[046] Batch [0599]/[3759] Speed: 117.875116 samples/sec accuracy=29.583333 loss=3.240345 lr=0.098615 Epoch[046] Batch [0649]/[3759] Speed: 117.719395 samples/sec accuracy=29.576923 loss=3.241923 lr=0.098611 Epoch[046] Batch [0699]/[3759] Speed: 117.595301 samples/sec accuracy=29.656250 loss=3.240061 lr=0.098608 Epoch[046] Batch [0749]/[3759] Speed: 116.706682 samples/sec accuracy=29.629167 loss=3.241935 lr=0.098605 Epoch[046] Batch [0799]/[3759] Speed: 116.909585 samples/sec accuracy=29.695312 loss=3.238467 lr=0.098602 Epoch[046] Batch [0849]/[3759] Speed: 117.234343 samples/sec accuracy=29.665441 loss=3.241153 lr=0.098599 Epoch[046] Batch [0899]/[3759] Speed: 117.039425 samples/sec accuracy=29.633681 loss=3.242412 lr=0.098596 Epoch[046] Batch [0949]/[3759] 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accuracy=29.734375 loss=3.240124 lr=0.098566 Epoch[046] Batch [1449]/[3759] Speed: 117.789182 samples/sec accuracy=29.707974 loss=3.241643 lr=0.098563 Epoch[046] Batch [1499]/[3759] Speed: 117.764431 samples/sec accuracy=29.691667 loss=3.241175 lr=0.098560 Epoch[046] Batch [1549]/[3759] Speed: 117.415755 samples/sec accuracy=29.668347 loss=3.242317 lr=0.098557 Epoch[046] Batch [1599]/[3759] Speed: 117.086265 samples/sec accuracy=29.708008 loss=3.241042 lr=0.098554 Epoch[046] Batch [1649]/[3759] Speed: 117.736975 samples/sec accuracy=29.714962 loss=3.242251 lr=0.098550 Epoch[046] Batch [1699]/[3759] Speed: 117.407792 samples/sec accuracy=29.771140 loss=3.241058 lr=0.098547 Epoch[046] Batch [1749]/[3759] Speed: 117.897678 samples/sec accuracy=29.768750 loss=3.242088 lr=0.098544 Epoch[046] Batch [1799]/[3759] Speed: 117.476750 samples/sec accuracy=29.756944 loss=3.242540 lr=0.098541 Epoch[046] Batch [1849]/[3759] Speed: 116.558228 samples/sec accuracy=29.750000 loss=3.243846 lr=0.098538 Epoch[046] Batch [1899]/[3759] Speed: 117.747443 samples/sec accuracy=29.736842 loss=3.243381 lr=0.098535 Epoch[046] Batch [1949]/[3759] Speed: 118.073441 samples/sec accuracy=29.752404 loss=3.242984 lr=0.098532 Epoch[046] Batch [1999]/[3759] Speed: 118.171154 samples/sec accuracy=29.753906 loss=3.244206 lr=0.098529 Epoch[046] Batch [2049]/[3759] Speed: 117.252629 samples/sec accuracy=29.788110 loss=3.244124 lr=0.098526 Epoch[046] Batch [2099]/[3759] Speed: 117.153894 samples/sec accuracy=29.793155 loss=3.244560 lr=0.098523 Epoch[046] Batch [2149]/[3759] Speed: 118.274209 samples/sec accuracy=29.788517 loss=3.246103 lr=0.098519 Epoch[046] Batch [2199]/[3759] Speed: 117.813690 samples/sec accuracy=29.784091 loss=3.246706 lr=0.098516 Epoch[046] Batch [2249]/[3759] Speed: 117.172432 samples/sec accuracy=29.766667 loss=3.247048 lr=0.098513 Epoch[046] Batch [2299]/[3759] Speed: 116.797883 samples/sec accuracy=29.754076 loss=3.247987 lr=0.098510 Epoch[046] Batch [2349]/[3759] Speed: 116.953818 samples/sec accuracy=29.773271 loss=3.247989 lr=0.098507 Epoch[046] Batch [2399]/[3759] Speed: 118.105923 samples/sec accuracy=29.785156 loss=3.247691 lr=0.098504 Epoch[046] Batch [2449]/[3759] Speed: 117.634134 samples/sec accuracy=29.796556 loss=3.247099 lr=0.098501 Epoch[046] Batch [2499]/[3759] Speed: 117.695862 samples/sec accuracy=29.784375 loss=3.246813 lr=0.098498 Epoch[046] Batch [2549]/[3759] Speed: 117.492263 samples/sec accuracy=29.780637 loss=3.247402 lr=0.098494 Epoch[046] Batch [2599]/[3759] Speed: 117.465746 samples/sec accuracy=29.768029 loss=3.247301 lr=0.098491 Epoch[046] Batch [2649]/[3759] Speed: 117.554297 samples/sec accuracy=29.761203 loss=3.247803 lr=0.098488 Epoch[046] Batch [2699]/[3759] Speed: 117.744676 samples/sec accuracy=29.726852 loss=3.249037 lr=0.098485 Epoch[046] Batch [2749]/[3759] Speed: 117.443980 samples/sec accuracy=29.717614 loss=3.248779 lr=0.098482 Epoch[046] Batch [2799]/[3759] Speed: 117.095277 samples/sec accuracy=29.718192 loss=3.249411 lr=0.098479 Epoch[046] Batch [2849]/[3759] Speed: 116.684727 samples/sec accuracy=29.728070 loss=3.248049 lr=0.098476 Epoch[046] Batch [2899]/[3759] Speed: 117.339686 samples/sec accuracy=29.745690 loss=3.247965 lr=0.098472 Epoch[046] Batch [2949]/[3759] Speed: 117.954941 samples/sec accuracy=29.718750 loss=3.249136 lr=0.098469 Epoch[046] Batch [2999]/[3759] Speed: 117.651568 samples/sec accuracy=29.708333 loss=3.249049 lr=0.098466 Epoch[046] Batch [3049]/[3759] Speed: 116.694165 samples/sec accuracy=29.678279 loss=3.249698 lr=0.098463 Epoch[046] Batch [3099]/[3759] Speed: 117.161939 samples/sec accuracy=29.674395 loss=3.250362 lr=0.098460 Epoch[046] Batch [3149]/[3759] Speed: 117.921288 samples/sec accuracy=29.683532 loss=3.249818 lr=0.098457 Epoch[046] Batch [3199]/[3759] Speed: 118.357198 samples/sec accuracy=29.702148 loss=3.249176 lr=0.098453 Epoch[046] Batch [3249]/[3759] Speed: 117.853468 samples/sec accuracy=29.688462 loss=3.249369 lr=0.098450 Epoch[046] Batch [3299]/[3759] Speed: 116.894004 samples/sec accuracy=29.678504 loss=3.249462 lr=0.098447 Epoch[046] Batch [3349]/[3759] Speed: 117.245414 samples/sec accuracy=29.695896 loss=3.249155 lr=0.098444 Epoch[046] Batch [3399]/[3759] Speed: 117.510941 samples/sec accuracy=29.701287 loss=3.249127 lr=0.098441 Epoch[046] Batch [3449]/[3759] Speed: 117.253249 samples/sec accuracy=29.698370 loss=3.249081 lr=0.098437 Epoch[046] Batch [3499]/[3759] Speed: 118.295410 samples/sec accuracy=29.702232 loss=3.248477 lr=0.098434 Epoch[046] Batch [3549]/[3759] Speed: 117.429746 samples/sec accuracy=29.707746 loss=3.248329 lr=0.098431 Epoch[046] Batch [3599]/[3759] Speed: 117.517885 samples/sec accuracy=29.707899 loss=3.248168 lr=0.098428 Epoch[046] Batch [3649]/[3759] Speed: 117.485954 samples/sec accuracy=29.710616 loss=3.248312 lr=0.098425 Epoch[046] Batch [3699]/[3759] Speed: 117.279401 samples/sec accuracy=29.693834 loss=3.249114 lr=0.098421 Epoch[046] Batch [3749]/[3759] Speed: 121.092608 samples/sec accuracy=29.720000 loss=3.248090 lr=0.098418 Batch [0049]/[0303]: acc-top1=29.406250 acc-top5=54.437500 Batch [0099]/[0303]: acc-top1=27.328125 acc-top5=52.968750 Batch [0149]/[0303]: acc-top1=29.187500 acc-top5=54.697917 Batch [0199]/[0303]: acc-top1=31.804688 acc-top5=57.421875 Batch [0249]/[0303]: acc-top1=30.793750 acc-top5=56.768750 Batch [0299]/[0303]: acc-top1=30.177083 acc-top5=56.838542 [Epoch 046] training: accuracy=29.715765 loss=3.248142 [Epoch 046] speed: 117 samples/sec time cost: 2175.418072 [Epoch 046] validation: acc-top1=30.203177 acc-top5=56.879125 loss=3.322090 Epoch[047] Batch [0049]/[3760] Speed: 86.056271 samples/sec accuracy=30.750000 loss=3.163039 lr=0.098414 Epoch[047] Batch [0099]/[3760] Speed: 117.225589 samples/sec accuracy=30.421875 loss=3.182868 lr=0.098411 Epoch[047] Batch [0149]/[3760] Speed: 118.226640 samples/sec accuracy=29.802083 loss=3.224263 lr=0.098408 Epoch[047] Batch [0199]/[3760] Speed: 116.531914 samples/sec accuracy=30.015625 loss=3.224379 lr=0.098405 Epoch[047] Batch [0249]/[3760] Speed: 116.871015 samples/sec accuracy=30.081250 loss=3.226351 lr=0.098401 Epoch[047] Batch [0299]/[3760] Speed: 116.492148 samples/sec accuracy=29.958333 loss=3.228457 lr=0.098398 Epoch[047] Batch [0349]/[3760] Speed: 116.700218 samples/sec accuracy=29.910714 loss=3.232423 lr=0.098395 Epoch[047] Batch [0399]/[3760] Speed: 116.756028 samples/sec accuracy=29.988281 loss=3.218682 lr=0.098392 Epoch[047] Batch [0449]/[3760] Speed: 117.489894 samples/sec accuracy=30.104167 loss=3.215191 lr=0.098388 Epoch[047] Batch [0499]/[3760] Speed: 117.420625 samples/sec accuracy=29.984375 loss=3.217301 lr=0.098385 Epoch[047] Batch [0549]/[3760] Speed: 117.398130 samples/sec accuracy=29.923295 loss=3.221108 lr=0.098382 Epoch[047] Batch [0599]/[3760] Speed: 117.570723 samples/sec accuracy=29.820312 loss=3.225732 lr=0.098379 Epoch[047] Batch [0649]/[3760] Speed: 117.377972 samples/sec accuracy=29.776442 loss=3.230270 lr=0.098375 Epoch[047] Batch [0699]/[3760] 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accuracy=29.668478 loss=3.234420 lr=0.098343 Epoch[047] Batch [1199]/[3760] Speed: 116.824492 samples/sec accuracy=29.704427 loss=3.232065 lr=0.098339 Epoch[047] Batch [1249]/[3760] Speed: 117.505261 samples/sec accuracy=29.650000 loss=3.231820 lr=0.098336 Epoch[047] Batch [1299]/[3760] Speed: 117.410672 samples/sec accuracy=29.590144 loss=3.233451 lr=0.098333 Epoch[047] Batch [1349]/[3760] Speed: 116.714121 samples/sec accuracy=29.568287 loss=3.236364 lr=0.098329 Epoch[047] Batch [1399]/[3760] Speed: 118.046588 samples/sec accuracy=29.580357 loss=3.237684 lr=0.098326 Epoch[047] Batch [1449]/[3760] Speed: 117.031854 samples/sec accuracy=29.577586 loss=3.237949 lr=0.098323 Epoch[047] Batch [1499]/[3760] Speed: 116.802437 samples/sec accuracy=29.566667 loss=3.237989 lr=0.098320 Epoch[047] Batch [1549]/[3760] Speed: 117.969906 samples/sec accuracy=29.572581 loss=3.238078 lr=0.098316 Epoch[047] Batch [1599]/[3760] Speed: 117.209530 samples/sec accuracy=29.579102 loss=3.239706 lr=0.098313 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loss=3.236769 lr=0.098249 Epoch[047] Batch [2599]/[3760] Speed: 117.990037 samples/sec accuracy=29.720553 loss=3.236639 lr=0.098246 Epoch[047] Batch [2649]/[3760] Speed: 116.948087 samples/sec accuracy=29.706368 loss=3.238224 lr=0.098242 Epoch[047] Batch [2699]/[3760] Speed: 116.833750 samples/sec accuracy=29.710648 loss=3.237861 lr=0.098239 Epoch[047] Batch [2749]/[3760] Speed: 117.431957 samples/sec accuracy=29.706818 loss=3.238688 lr=0.098236 Epoch[047] Batch [2799]/[3760] Speed: 117.081296 samples/sec accuracy=29.713170 loss=3.238713 lr=0.098232 Epoch[047] Batch [2849]/[3760] Speed: 117.353958 samples/sec accuracy=29.686952 loss=3.239530 lr=0.098229 Epoch[047] Batch [2899]/[3760] Speed: 117.163017 samples/sec accuracy=29.705280 loss=3.240039 lr=0.098225 Epoch[047] Batch [2949]/[3760] Speed: 117.511646 samples/sec accuracy=29.679555 loss=3.241180 lr=0.098222 Epoch[047] Batch [2999]/[3760] Speed: 117.436692 samples/sec accuracy=29.653125 loss=3.242609 lr=0.098219 Epoch[047] Batch 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accuracy=29.627232 loss=3.244315 lr=0.098184 Epoch[047] Batch [3549]/[3760] Speed: 117.446749 samples/sec accuracy=29.632482 loss=3.244585 lr=0.098181 Epoch[047] Batch [3599]/[3760] Speed: 118.323644 samples/sec accuracy=29.647569 loss=3.244017 lr=0.098177 Epoch[047] Batch [3649]/[3760] Speed: 117.335364 samples/sec accuracy=29.644264 loss=3.244358 lr=0.098174 Epoch[047] Batch [3699]/[3760] Speed: 117.584753 samples/sec accuracy=29.635557 loss=3.244357 lr=0.098171 Epoch[047] Batch [3749]/[3760] Speed: 121.361032 samples/sec accuracy=29.640000 loss=3.244592 lr=0.098167 Batch [0049]/[0303]: acc-top1=29.437500 acc-top5=56.656250 Batch [0099]/[0303]: acc-top1=27.078125 acc-top5=53.015625 Batch [0149]/[0303]: acc-top1=27.489583 acc-top5=53.541667 Batch [0199]/[0303]: acc-top1=29.882812 acc-top5=55.664062 Batch [0249]/[0303]: acc-top1=29.087500 acc-top5=55.537500 Batch [0299]/[0303]: acc-top1=28.718750 acc-top5=55.765625 [Epoch 047] training: accuracy=29.637217 loss=3.244852 [Epoch 047] speed: 116 samples/sec time cost: 2179.523314 [Epoch 047] validation: acc-top1=28.656147 acc-top5=55.770421 loss=3.499115 Epoch[048] Batch [0049]/[3760] Speed: 86.989068 samples/sec accuracy=30.218750 loss=3.203924 lr=0.098163 Epoch[048] Batch [0099]/[3760] Speed: 116.481391 samples/sec accuracy=29.703125 loss=3.212839 lr=0.098159 Epoch[048] Batch [0149]/[3760] Speed: 117.554914 samples/sec accuracy=30.031250 loss=3.188179 lr=0.098156 Epoch[048] Batch [0199]/[3760] Speed: 117.030223 samples/sec accuracy=29.906250 loss=3.201264 lr=0.098153 Epoch[048] Batch [0249]/[3760] Speed: 117.346614 samples/sec accuracy=29.937500 loss=3.202287 lr=0.098149 Epoch[048] Batch [0299]/[3760] Speed: 117.570994 samples/sec accuracy=29.848958 loss=3.214519 lr=0.098146 Epoch[048] Batch [0349]/[3760] Speed: 118.641595 samples/sec accuracy=29.754464 loss=3.226287 lr=0.098142 Epoch[048] Batch [0399]/[3760] Speed: 118.112206 samples/sec accuracy=29.660156 loss=3.230113 lr=0.098139 Epoch[048] Batch [0449]/[3760] 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accuracy=29.920139 loss=3.227242 lr=0.098104 Epoch[048] Batch [0949]/[3760] Speed: 117.766934 samples/sec accuracy=29.960526 loss=3.227142 lr=0.098100 Epoch[048] Batch [0999]/[3760] Speed: 117.605331 samples/sec accuracy=29.967187 loss=3.226319 lr=0.098097 Epoch[048] Batch [1049]/[3760] Speed: 117.375574 samples/sec accuracy=29.949405 loss=3.226708 lr=0.098093 Epoch[048] Batch [1099]/[3760] Speed: 117.280114 samples/sec accuracy=29.990057 loss=3.225894 lr=0.098089 Epoch[048] Batch [1149]/[3760] Speed: 117.435325 samples/sec accuracy=29.998641 loss=3.224970 lr=0.098086 Epoch[048] Batch [1199]/[3760] Speed: 117.988573 samples/sec accuracy=29.957031 loss=3.228665 lr=0.098082 Epoch[048] Batch [1249]/[3760] Speed: 117.315528 samples/sec accuracy=29.977500 loss=3.227930 lr=0.098079 Epoch[048] Batch [1299]/[3760] Speed: 118.318413 samples/sec accuracy=29.998798 loss=3.227804 lr=0.098075 Epoch[048] Batch [1349]/[3760] Speed: 116.959760 samples/sec accuracy=29.993056 loss=3.228548 lr=0.098072 Epoch[048] Batch [1399]/[3760] Speed: 117.113440 samples/sec accuracy=30.006696 loss=3.229539 lr=0.098068 Epoch[048] Batch [1449]/[3760] Speed: 117.723790 samples/sec accuracy=29.955819 loss=3.231266 lr=0.098065 Epoch[048] Batch [1499]/[3760] Speed: 116.909832 samples/sec accuracy=29.927083 loss=3.233112 lr=0.098061 Epoch[048] Batch [1549]/[3760] Speed: 117.050782 samples/sec accuracy=29.943548 loss=3.233494 lr=0.098058 Epoch[048] Batch [1599]/[3760] Speed: 117.642603 samples/sec accuracy=29.974609 loss=3.233076 lr=0.098054 Epoch[048] Batch [1649]/[3760] Speed: 117.588725 samples/sec accuracy=29.970644 loss=3.233720 lr=0.098050 Epoch[048] Batch [1699]/[3760] Speed: 116.686733 samples/sec accuracy=29.977941 loss=3.232678 lr=0.098047 Epoch[048] Batch [1749]/[3760] Speed: 117.461383 samples/sec accuracy=29.958929 loss=3.233310 lr=0.098043 Epoch[048] Batch [1799]/[3760] Speed: 117.986053 samples/sec accuracy=29.955729 loss=3.233619 lr=0.098040 Epoch[048] Batch [1849]/[3760] Speed: 117.058830 samples/sec accuracy=29.913851 loss=3.234702 lr=0.098036 Epoch[048] Batch [1899]/[3760] Speed: 117.286175 samples/sec accuracy=29.887336 loss=3.235946 lr=0.098033 Epoch[048] Batch [1949]/[3760] Speed: 117.473519 samples/sec accuracy=29.877404 loss=3.236364 lr=0.098029 Epoch[048] Batch [1999]/[3760] Speed: 117.743157 samples/sec accuracy=29.893750 loss=3.236737 lr=0.098025 Epoch[048] Batch [2049]/[3760] Speed: 117.774676 samples/sec accuracy=29.923018 loss=3.235419 lr=0.098022 Epoch[048] Batch [2099]/[3760] Speed: 118.320212 samples/sec accuracy=29.905506 loss=3.235490 lr=0.098018 Epoch[048] Batch [2149]/[3760] Speed: 117.106591 samples/sec accuracy=29.907703 loss=3.235830 lr=0.098015 Epoch[048] Batch [2199]/[3760] Speed: 118.095986 samples/sec accuracy=29.894886 loss=3.235713 lr=0.098011 Epoch[048] Batch [2249]/[3760] Speed: 117.681794 samples/sec accuracy=29.895833 loss=3.234848 lr=0.098007 Epoch[048] Batch [2299]/[3760] Speed: 117.227844 samples/sec accuracy=29.899457 loss=3.234806 lr=0.098004 Epoch[048] Batch [2349]/[3760] Speed: 117.464370 samples/sec accuracy=29.898936 loss=3.234183 lr=0.098000 Epoch[048] Batch [2399]/[3760] Speed: 117.144243 samples/sec accuracy=29.895182 loss=3.234158 lr=0.097997 Epoch[048] Batch [2449]/[3760] Speed: 117.186925 samples/sec accuracy=29.889031 loss=3.234304 lr=0.097993 Epoch[048] Batch [2499]/[3760] Speed: 117.341759 samples/sec accuracy=29.875625 loss=3.234308 lr=0.097989 Epoch[048] Batch [2549]/[3760] Speed: 116.628070 samples/sec accuracy=29.882353 loss=3.234566 lr=0.097986 Epoch[048] Batch [2599]/[3760] Speed: 117.549559 samples/sec accuracy=29.879808 loss=3.234704 lr=0.097982 Epoch[048] Batch [2649]/[3760] Speed: 117.480260 samples/sec accuracy=29.867925 loss=3.235270 lr=0.097978 Epoch[048] Batch [2699]/[3760] Speed: 117.276939 samples/sec accuracy=29.865741 loss=3.235498 lr=0.097975 Epoch[048] Batch [2749]/[3760] Speed: 117.268372 samples/sec accuracy=29.852841 loss=3.235894 lr=0.097971 Epoch[048] Batch 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accuracy=29.901923 loss=3.233265 lr=0.097935 Epoch[048] Batch [3299]/[3760] Speed: 117.785780 samples/sec accuracy=29.912405 loss=3.233059 lr=0.097931 Epoch[048] Batch [3349]/[3760] Speed: 117.782494 samples/sec accuracy=29.902052 loss=3.233815 lr=0.097927 Epoch[048] Batch [3399]/[3760] Speed: 118.295941 samples/sec accuracy=29.897059 loss=3.233719 lr=0.097924 Epoch[048] Batch [3449]/[3760] Speed: 117.303103 samples/sec accuracy=29.874547 loss=3.234917 lr=0.097920 Epoch[048] Batch [3499]/[3760] Speed: 117.103252 samples/sec accuracy=29.880357 loss=3.235255 lr=0.097916 Epoch[048] Batch [3549]/[3760] Speed: 117.032910 samples/sec accuracy=29.867077 loss=3.236002 lr=0.097913 Epoch[048] Batch [3599]/[3760] Speed: 117.879782 samples/sec accuracy=29.851128 loss=3.236873 lr=0.097909 Epoch[048] Batch [3649]/[3760] Speed: 117.265201 samples/sec accuracy=29.833904 loss=3.237663 lr=0.097905 Epoch[048] Batch [3699]/[3760] Speed: 117.762721 samples/sec accuracy=29.854307 loss=3.237647 lr=0.097902 Epoch[048] Batch [3749]/[3760] Speed: 120.861603 samples/sec accuracy=29.864167 loss=3.236907 lr=0.097898 Batch [0049]/[0303]: acc-top1=28.906250 acc-top5=57.875000 Batch [0099]/[0303]: acc-top1=28.296875 acc-top5=56.593750 Batch [0149]/[0303]: acc-top1=29.541667 acc-top5=56.510417 Batch [0199]/[0303]: acc-top1=31.929687 acc-top5=58.328125 Batch [0249]/[0303]: acc-top1=30.850000 acc-top5=58.137500 Batch [0299]/[0303]: acc-top1=30.192708 acc-top5=57.895833 [Epoch 048] training: accuracy=29.867852 loss=3.236581 [Epoch 048] speed: 116 samples/sec time cost: 2177.157781 [Epoch 048] validation: acc-top1=30.208333 acc-top5=57.987830 loss=3.244770 Epoch[049] Batch [0049]/[3759] Speed: 88.578045 samples/sec accuracy=30.218750 loss=3.228774 lr=0.097893 Epoch[049] Batch [0099]/[3759] Speed: 117.118221 samples/sec accuracy=30.000000 loss=3.217381 lr=0.097890 Epoch[049] Batch [0149]/[3759] Speed: 117.747913 samples/sec accuracy=29.572917 loss=3.229024 lr=0.097886 Epoch[049] Batch [0199]/[3759] 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accuracy=29.831731 loss=3.223577 lr=0.097849 Epoch[049] Batch [0699]/[3759] Speed: 117.420621 samples/sec accuracy=29.915179 loss=3.222777 lr=0.097845 Epoch[049] Batch [0749]/[3759] Speed: 117.808897 samples/sec accuracy=29.897917 loss=3.226418 lr=0.097841 Epoch[049] Batch [0799]/[3759] Speed: 117.520792 samples/sec accuracy=29.880859 loss=3.228108 lr=0.097837 Epoch[049] Batch [0849]/[3759] Speed: 117.449353 samples/sec accuracy=29.904412 loss=3.224252 lr=0.097834 Epoch[049] Batch [0899]/[3759] Speed: 117.862905 samples/sec accuracy=29.873264 loss=3.226623 lr=0.097830 Epoch[049] Batch [0949]/[3759] Speed: 117.117981 samples/sec accuracy=29.833882 loss=3.225335 lr=0.097826 Epoch[049] Batch [0999]/[3759] Speed: 117.060091 samples/sec accuracy=29.848438 loss=3.224171 lr=0.097822 Epoch[049] Batch [1049]/[3759] Speed: 117.057675 samples/sec accuracy=29.909226 loss=3.221964 lr=0.097819 Epoch[049] Batch [1099]/[3759] Speed: 117.012788 samples/sec accuracy=29.867898 loss=3.222496 lr=0.097815 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accuracy=29.821354 loss=3.231758 lr=0.097669 Epoch[049] Batch [3049]/[3759] Speed: 116.984891 samples/sec accuracy=29.832992 loss=3.230519 lr=0.097665 Epoch[049] Batch [3099]/[3759] Speed: 117.087764 samples/sec accuracy=29.837198 loss=3.230724 lr=0.097662 Epoch[049] Batch [3149]/[3759] Speed: 117.542489 samples/sec accuracy=29.854167 loss=3.230511 lr=0.097658 Epoch[049] Batch [3199]/[3759] Speed: 117.906978 samples/sec accuracy=29.838867 loss=3.230846 lr=0.097654 Epoch[049] Batch [3249]/[3759] Speed: 117.308985 samples/sec accuracy=29.839423 loss=3.230713 lr=0.097650 Epoch[049] Batch [3299]/[3759] Speed: 116.846136 samples/sec accuracy=29.857008 loss=3.230384 lr=0.097646 Epoch[049] Batch [3349]/[3759] Speed: 117.427526 samples/sec accuracy=29.876866 loss=3.229491 lr=0.097642 Epoch[049] Batch [3399]/[3759] Speed: 117.478653 samples/sec accuracy=29.864890 loss=3.229742 lr=0.097638 Epoch[049] Batch [3449]/[3759] Speed: 116.837367 samples/sec accuracy=29.842844 loss=3.231842 lr=0.097634 Epoch[049] Batch [3499]/[3759] Speed: 116.602563 samples/sec accuracy=29.826339 loss=3.232515 lr=0.097630 Epoch[049] Batch [3549]/[3759] Speed: 116.731011 samples/sec accuracy=29.834067 loss=3.232223 lr=0.097626 Epoch[049] Batch [3599]/[3759] Speed: 117.914188 samples/sec accuracy=29.829427 loss=3.232231 lr=0.097622 Epoch[049] Batch [3649]/[3759] Speed: 117.873247 samples/sec accuracy=29.843322 loss=3.231842 lr=0.097618 Epoch[049] Batch [3699]/[3759] Speed: 117.665503 samples/sec accuracy=29.837416 loss=3.232518 lr=0.097615 Epoch[049] Batch [3749]/[3759] Speed: 120.618077 samples/sec accuracy=29.851250 loss=3.232483 lr=0.097611 Batch [0049]/[0303]: acc-top1=28.468750 acc-top5=55.875000 Batch [0099]/[0303]: acc-top1=26.921875 acc-top5=53.968750 Batch [0149]/[0303]: acc-top1=28.583333 acc-top5=55.364583 Batch [0199]/[0303]: acc-top1=31.085938 acc-top5=57.281250 Batch [0249]/[0303]: acc-top1=30.562500 acc-top5=57.387500 Batch [0299]/[0303]: acc-top1=29.494792 acc-top5=56.682292 [Epoch 049] training: accuracy=29.852105 loss=3.232430 [Epoch 049] speed: 116 samples/sec time cost: 2176.519056 [Epoch 049] validation: acc-top1=29.429662 acc-top5=56.678012 loss=3.296482 Epoch[050] Batch [0049]/[3760] Speed: 86.783639 samples/sec accuracy=29.281250 loss=3.236579 lr=0.097606 Epoch[050] Batch [0099]/[3760] Speed: 116.869107 samples/sec accuracy=29.750000 loss=3.217723 lr=0.097602 Epoch[050] Batch [0149]/[3760] Speed: 117.865795 samples/sec accuracy=30.031250 loss=3.204060 lr=0.097598 Epoch[050] Batch [0199]/[3760] Speed: 117.187145 samples/sec accuracy=30.187500 loss=3.193575 lr=0.097594 Epoch[050] Batch [0249]/[3760] Speed: 117.766890 samples/sec accuracy=30.075000 loss=3.201203 lr=0.097590 Epoch[050] Batch [0299]/[3760] Speed: 117.597150 samples/sec accuracy=30.166667 loss=3.198946 lr=0.097586 Epoch[050] Batch [0349]/[3760] Speed: 116.742809 samples/sec accuracy=29.973214 loss=3.208108 lr=0.097582 Epoch[050] Batch [0399]/[3760] Speed: 117.019714 samples/sec accuracy=29.953125 loss=3.207283 lr=0.097578 Epoch[050] Batch [0449]/[3760] Speed: 117.152613 samples/sec accuracy=29.927083 loss=3.214397 lr=0.097574 Epoch[050] Batch [0499]/[3760] Speed: 117.116304 samples/sec accuracy=29.837500 loss=3.221171 lr=0.097570 Epoch[050] Batch [0549]/[3760] Speed: 117.769313 samples/sec accuracy=29.838068 loss=3.223421 lr=0.097566 Epoch[050] Batch [0599]/[3760] Speed: 117.467905 samples/sec accuracy=29.854167 loss=3.226921 lr=0.097562 Epoch[050] Batch [0649]/[3760] Speed: 116.519334 samples/sec accuracy=29.906250 loss=3.226614 lr=0.097558 Epoch[050] Batch [0699]/[3760] Speed: 116.973369 samples/sec accuracy=29.888393 loss=3.226796 lr=0.097554 Epoch[050] Batch [0749]/[3760] Speed: 117.499418 samples/sec accuracy=29.927083 loss=3.229827 lr=0.097550 Epoch[050] Batch [0799]/[3760] Speed: 116.936442 samples/sec accuracy=29.960938 loss=3.226029 lr=0.097546 Epoch[050] Batch [0849]/[3760] Speed: 117.339428 samples/sec accuracy=29.972426 loss=3.224820 lr=0.097542 Epoch[050] Batch [0899]/[3760] Speed: 117.441588 samples/sec accuracy=30.012153 loss=3.226217 lr=0.097538 Epoch[050] Batch [0949]/[3760] Speed: 116.786203 samples/sec accuracy=30.044408 loss=3.224800 lr=0.097534 Epoch[050] Batch [0999]/[3760] Speed: 116.201166 samples/sec accuracy=30.156250 loss=3.221395 lr=0.097530 Epoch[050] Batch [1049]/[3760] Speed: 117.658859 samples/sec accuracy=30.177083 loss=3.221054 lr=0.097526 Epoch[050] Batch [1099]/[3760] Speed: 117.340074 samples/sec accuracy=30.180398 loss=3.219326 lr=0.097522 Epoch[050] Batch [1149]/[3760] Speed: 118.291031 samples/sec accuracy=30.078804 loss=3.224004 lr=0.097518 Epoch[050] Batch [1199]/[3760] Speed: 117.296628 samples/sec accuracy=30.065104 loss=3.224189 lr=0.097514 Epoch[050] Batch [1249]/[3760] Speed: 117.475604 samples/sec accuracy=30.101250 loss=3.221624 lr=0.097510 Epoch[050] Batch [1299]/[3760] Speed: 117.465632 samples/sec accuracy=30.093750 loss=3.222447 lr=0.097506 Epoch[050] Batch [1349]/[3760] Speed: 118.222402 samples/sec accuracy=30.108796 loss=3.221298 lr=0.097502 Epoch[050] Batch [1399]/[3760] Speed: 118.072875 samples/sec accuracy=30.095982 loss=3.221999 lr=0.097498 Epoch[050] Batch [1449]/[3760] Speed: 117.104547 samples/sec accuracy=30.089440 loss=3.222198 lr=0.097494 Epoch[050] Batch [1499]/[3760] Speed: 118.444837 samples/sec accuracy=30.082292 loss=3.221965 lr=0.097490 Epoch[050] Batch [1549]/[3760] Speed: 117.940774 samples/sec accuracy=30.058468 loss=3.223704 lr=0.097486 Epoch[050] Batch [1599]/[3760] Speed: 117.989482 samples/sec accuracy=30.012695 loss=3.225684 lr=0.097482 Epoch[050] Batch [1649]/[3760] Speed: 117.237722 samples/sec accuracy=30.033144 loss=3.224210 lr=0.097478 Epoch[050] Batch [1699]/[3760] Speed: 117.624404 samples/sec accuracy=30.009191 loss=3.225555 lr=0.097474 Epoch[050] Batch [1749]/[3760] Speed: 117.774074 samples/sec accuracy=30.046429 loss=3.224651 lr=0.097470 Epoch[050] Batch [1799]/[3760] Speed: 117.892200 samples/sec accuracy=30.028646 loss=3.225144 lr=0.097466 Epoch[050] Batch [1849]/[3760] Speed: 117.462729 samples/sec accuracy=30.011824 loss=3.225196 lr=0.097462 Epoch[050] Batch [1899]/[3760] Speed: 117.404128 samples/sec accuracy=30.013158 loss=3.224901 lr=0.097458 Epoch[050] Batch [1949]/[3760] Speed: 117.968686 samples/sec accuracy=29.995994 loss=3.225623 lr=0.097454 Epoch[050] Batch [1999]/[3760] Speed: 117.312538 samples/sec accuracy=29.989063 loss=3.226780 lr=0.097450 Epoch[050] Batch [2049]/[3760] Speed: 117.455311 samples/sec accuracy=29.960366 loss=3.227310 lr=0.097446 Epoch[050] Batch [2099]/[3760] Speed: 117.728537 samples/sec accuracy=29.989583 loss=3.226591 lr=0.097442 Epoch[050] Batch [2149]/[3760] Speed: 116.614588 samples/sec accuracy=29.965116 loss=3.229115 lr=0.097438 Epoch[050] Batch [2199]/[3760] Speed: 117.526597 samples/sec accuracy=29.969460 loss=3.229131 lr=0.097433 Epoch[050] Batch [2249]/[3760] Speed: 117.038182 samples/sec accuracy=29.965972 loss=3.229256 lr=0.097429 Epoch[050] Batch 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accuracy=29.972159 loss=3.228176 lr=0.097388 Epoch[050] Batch [2799]/[3760] Speed: 117.616643 samples/sec accuracy=29.982143 loss=3.227328 lr=0.097384 Epoch[050] Batch [2849]/[3760] Speed: 117.747875 samples/sec accuracy=29.969846 loss=3.228642 lr=0.097380 Epoch[050] Batch [2899]/[3760] Speed: 117.366282 samples/sec accuracy=29.937500 loss=3.229541 lr=0.097376 Epoch[050] Batch [2949]/[3760] Speed: 117.989424 samples/sec accuracy=29.926907 loss=3.229921 lr=0.097372 Epoch[050] Batch [2999]/[3760] Speed: 117.357926 samples/sec accuracy=29.915104 loss=3.230295 lr=0.097368 Epoch[050] Batch [3049]/[3760] Speed: 117.889468 samples/sec accuracy=29.912398 loss=3.230761 lr=0.097364 Epoch[050] Batch [3099]/[3760] Speed: 117.408721 samples/sec accuracy=29.924899 loss=3.229700 lr=0.097360 Epoch[050] Batch [3149]/[3760] Speed: 117.262871 samples/sec accuracy=29.918651 loss=3.229621 lr=0.097355 Epoch[050] Batch [3199]/[3760] Speed: 117.464028 samples/sec accuracy=29.898438 loss=3.230440 lr=0.097351 Epoch[050] Batch [3249]/[3760] Speed: 117.473297 samples/sec accuracy=29.905288 loss=3.230671 lr=0.097347 Epoch[050] Batch [3299]/[3760] Speed: 117.613160 samples/sec accuracy=29.900568 loss=3.230650 lr=0.097343 Epoch[050] Batch [3349]/[3760] Speed: 117.489916 samples/sec accuracy=29.885261 loss=3.230835 lr=0.097339 Epoch[050] Batch [3399]/[3760] Speed: 118.263370 samples/sec accuracy=29.883272 loss=3.230048 lr=0.097335 Epoch[050] Batch [3449]/[3760] Speed: 117.171608 samples/sec accuracy=29.881341 loss=3.230481 lr=0.097330 Epoch[050] Batch [3499]/[3760] Speed: 117.163397 samples/sec accuracy=29.900000 loss=3.230098 lr=0.097326 Epoch[050] Batch [3549]/[3760] Speed: 117.232690 samples/sec accuracy=29.909331 loss=3.229847 lr=0.097322 Epoch[050] Batch [3599]/[3760] Speed: 117.481369 samples/sec accuracy=29.917101 loss=3.229031 lr=0.097318 Epoch[050] Batch [3649]/[3760] Speed: 118.089121 samples/sec accuracy=29.889127 loss=3.229380 lr=0.097314 Epoch[050] Batch [3699]/[3760] Speed: 117.731503 samples/sec accuracy=29.904983 loss=3.228991 lr=0.097310 Epoch[050] Batch [3749]/[3760] Speed: 120.796480 samples/sec accuracy=29.892083 loss=3.229537 lr=0.097305 Batch [0049]/[0303]: acc-top1=30.000000 acc-top5=56.250000 Batch [0099]/[0303]: acc-top1=27.828125 acc-top5=53.531250 Batch [0149]/[0303]: acc-top1=29.510417 acc-top5=55.614583 Batch [0199]/[0303]: acc-top1=31.781250 acc-top5=57.593750 Batch [0249]/[0303]: acc-top1=30.850000 acc-top5=57.387500 Batch [0299]/[0303]: acc-top1=30.661458 acc-top5=57.812500 [Epoch 050] training: accuracy=29.888630 loss=3.229551 [Epoch 050] speed: 116 samples/sec time cost: 2177.919614 [Epoch 050] validation: acc-top1=30.595091 acc-top5=57.766089 loss=3.363049 Epoch[051] Batch [0049]/[3760] Speed: 87.741844 samples/sec accuracy=29.812500 loss=3.238343 lr=0.097300 Epoch[051] Batch [0099]/[3760] Speed: 118.194783 samples/sec accuracy=30.781250 loss=3.194965 lr=0.097296 Epoch[051] Batch [0149]/[3760] Speed: 117.796615 samples/sec 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accuracy=30.189375 loss=3.216249 lr=0.097092 Epoch[051] Batch [2549]/[3760] Speed: 116.387924 samples/sec accuracy=30.183211 loss=3.217077 lr=0.097088 Epoch[051] Batch [2599]/[3760] Speed: 117.396579 samples/sec accuracy=30.174279 loss=3.217622 lr=0.097083 Epoch[051] Batch [2649]/[3760] Speed: 117.103042 samples/sec accuracy=30.162146 loss=3.218648 lr=0.097079 Epoch[051] Batch [2699]/[3760] Speed: 117.072130 samples/sec accuracy=30.156829 loss=3.217923 lr=0.097074 Epoch[051] Batch [2749]/[3760] Speed: 117.349122 samples/sec accuracy=30.166477 loss=3.217142 lr=0.097070 Epoch[051] Batch [2799]/[3760] Speed: 117.210670 samples/sec accuracy=30.161830 loss=3.217271 lr=0.097066 Epoch[051] Batch [2849]/[3760] Speed: 117.758582 samples/sec accuracy=30.151864 loss=3.217522 lr=0.097061 Epoch[051] Batch [2899]/[3760] Speed: 117.094491 samples/sec accuracy=30.143319 loss=3.217781 lr=0.097057 Epoch[051] Batch [2949]/[3760] Speed: 117.355885 samples/sec accuracy=30.161017 loss=3.216587 lr=0.097053 Epoch[051] Batch [2999]/[3760] Speed: 116.910003 samples/sec accuracy=30.164583 loss=3.216831 lr=0.097048 Epoch[051] Batch [3049]/[3760] Speed: 117.284606 samples/sec accuracy=30.157275 loss=3.217517 lr=0.097044 Epoch[051] Batch [3099]/[3760] Speed: 117.616556 samples/sec accuracy=30.150202 loss=3.217786 lr=0.097040 Epoch[051] Batch [3149]/[3760] Speed: 118.111359 samples/sec accuracy=30.163690 loss=3.218194 lr=0.097035 Epoch[051] Batch [3199]/[3760] Speed: 117.228124 samples/sec accuracy=30.163086 loss=3.218394 lr=0.097031 Epoch[051] Batch [3249]/[3760] Speed: 117.019725 samples/sec accuracy=30.137981 loss=3.219376 lr=0.097026 Epoch[051] Batch [3299]/[3760] Speed: 117.445511 samples/sec accuracy=30.144413 loss=3.219248 lr=0.097022 Epoch[051] Batch [3349]/[3760] Speed: 116.716867 samples/sec accuracy=30.146455 loss=3.220123 lr=0.097018 Epoch[051] Batch [3399]/[3760] Speed: 117.145366 samples/sec accuracy=30.153033 loss=3.219483 lr=0.097013 Epoch[051] Batch [3449]/[3760] Speed: 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Batch [0299]/[0303]: acc-top1=29.348958 acc-top5=56.296875 [Epoch 051] training: accuracy=30.144199 loss=3.220114 [Epoch 051] speed: 116 samples/sec time cost: 2179.536654 [Epoch 051] validation: acc-top1=29.264645 acc-top5=56.265470 loss=3.370228 Epoch[052] Batch [0049]/[3759] Speed: 87.757378 samples/sec accuracy=30.968750 loss=3.208677 lr=0.096977 Epoch[052] Batch [0099]/[3759] Speed: 117.805265 samples/sec accuracy=30.906250 loss=3.208585 lr=0.096973 Epoch[052] Batch [0149]/[3759] Speed: 117.178322 samples/sec accuracy=30.822917 loss=3.181309 lr=0.096968 Epoch[052] Batch [0199]/[3759] Speed: 117.135324 samples/sec accuracy=30.515625 loss=3.194022 lr=0.096964 Epoch[052] Batch [0249]/[3759] Speed: 117.731095 samples/sec accuracy=30.393750 loss=3.187150 lr=0.096960 Epoch[052] Batch [0299]/[3759] Speed: 116.424020 samples/sec accuracy=30.270833 loss=3.191473 lr=0.096955 Epoch[052] Batch [0349]/[3759] Speed: 117.998611 samples/sec accuracy=30.142857 loss=3.199502 lr=0.096951 Epoch[052] 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accuracy=30.103472 loss=3.214360 lr=0.096780 Epoch[052] Batch [2299]/[3759] Speed: 117.232371 samples/sec accuracy=30.098505 loss=3.214689 lr=0.096775 Epoch[052] Batch [2349]/[3759] Speed: 117.889450 samples/sec accuracy=30.107048 loss=3.214493 lr=0.096771 Epoch[052] Batch [2399]/[3759] Speed: 118.239366 samples/sec accuracy=30.125000 loss=3.213602 lr=0.096766 Epoch[052] Batch [2449]/[3759] Speed: 116.419746 samples/sec accuracy=30.090561 loss=3.214900 lr=0.096762 Epoch[052] Batch [2499]/[3759] Speed: 117.154005 samples/sec accuracy=30.073750 loss=3.215541 lr=0.096757 Epoch[052] Batch [2549]/[3759] Speed: 116.561329 samples/sec accuracy=30.069240 loss=3.217064 lr=0.096752 Epoch[052] Batch [2599]/[3759] Speed: 117.368123 samples/sec accuracy=30.054087 loss=3.218460 lr=0.096748 Epoch[052] Batch [2649]/[3759] Speed: 118.072093 samples/sec accuracy=30.061910 loss=3.218335 lr=0.096743 Epoch[052] Batch [2699]/[3759] Speed: 116.948055 samples/sec accuracy=30.075231 loss=3.218240 lr=0.096739 Epoch[052] Batch [2749]/[3759] Speed: 117.411933 samples/sec accuracy=30.061364 loss=3.218216 lr=0.096734 Epoch[052] Batch [2799]/[3759] Speed: 117.744572 samples/sec accuracy=30.084263 loss=3.217752 lr=0.096730 Epoch[052] Batch [2849]/[3759] Speed: 117.161070 samples/sec accuracy=30.073465 loss=3.218579 lr=0.096725 Epoch[052] Batch [2899]/[3759] Speed: 116.221583 samples/sec accuracy=30.077047 loss=3.218200 lr=0.096720 Epoch[052] Batch [2949]/[3759] Speed: 117.583170 samples/sec accuracy=30.072034 loss=3.218408 lr=0.096716 Epoch[052] Batch [2999]/[3759] Speed: 117.017476 samples/sec accuracy=30.088021 loss=3.218053 lr=0.096711 Epoch[052] Batch [3049]/[3759] Speed: 117.496879 samples/sec accuracy=30.091701 loss=3.218344 lr=0.096707 Epoch[052] Batch [3099]/[3759] Speed: 117.249434 samples/sec accuracy=30.082661 loss=3.218634 lr=0.096702 Epoch[052] Batch [3149]/[3759] Speed: 118.115357 samples/sec accuracy=30.078869 loss=3.218600 lr=0.096697 Epoch[052] Batch [3199]/[3759] Speed: 118.151969 samples/sec accuracy=30.102539 loss=3.217150 lr=0.096693 Epoch[052] Batch [3249]/[3759] Speed: 117.266640 samples/sec accuracy=30.108173 loss=3.216517 lr=0.096688 Epoch[052] Batch [3299]/[3759] Speed: 117.659847 samples/sec accuracy=30.085701 loss=3.217765 lr=0.096684 Epoch[052] Batch [3349]/[3759] Speed: 117.839377 samples/sec accuracy=30.078825 loss=3.218650 lr=0.096679 Epoch[052] Batch [3399]/[3759] Speed: 117.568300 samples/sec accuracy=30.066176 loss=3.218264 lr=0.096674 Epoch[052] Batch [3449]/[3759] Speed: 116.849195 samples/sec accuracy=30.062047 loss=3.218212 lr=0.096670 Epoch[052] Batch [3499]/[3759] Speed: 116.970824 samples/sec accuracy=30.061607 loss=3.218315 lr=0.096665 Epoch[052] Batch [3549]/[3759] Speed: 116.833243 samples/sec accuracy=30.046215 loss=3.219105 lr=0.096660 Epoch[052] Batch [3599]/[3759] Speed: 117.161440 samples/sec accuracy=30.065538 loss=3.219046 lr=0.096656 Epoch[052] Batch [3649]/[3759] Speed: 116.765719 samples/sec accuracy=30.072346 loss=3.218819 lr=0.096651 Epoch[052] Batch [3699]/[3759] Speed: 117.394634 samples/sec accuracy=30.060389 loss=3.219218 lr=0.096646 Epoch[052] Batch [3749]/[3759] Speed: 120.110121 samples/sec accuracy=30.066667 loss=3.219092 lr=0.096642 Batch [0049]/[0303]: acc-top1=28.687500 acc-top5=55.500000 Batch [0099]/[0303]: acc-top1=26.812500 acc-top5=53.500000 Batch [0149]/[0303]: acc-top1=28.208333 acc-top5=54.666667 Batch [0199]/[0303]: acc-top1=31.343750 acc-top5=57.515625 Batch [0249]/[0303]: acc-top1=30.656250 acc-top5=57.468750 Batch [0299]/[0303]: acc-top1=30.052083 acc-top5=57.536458 [Epoch 052] training: accuracy=30.069500 loss=3.219362 [Epoch 052] speed: 116 samples/sec time cost: 2179.447895 [Epoch 052] validation: acc-top1=30.120668 acc-top5=57.693894 loss=3.274667 Epoch[053] Batch [0049]/[3760] Speed: 87.525934 samples/sec accuracy=30.031250 loss=3.173634 lr=0.096636 Epoch[053] Batch [0099]/[3760] Speed: 117.383949 samples/sec accuracy=30.312500 loss=3.189294 lr=0.096632 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loss=3.220137 lr=0.096318 Epoch[053] Batch [3449]/[3760] Speed: 117.394124 samples/sec accuracy=30.229167 loss=3.220570 lr=0.096313 Epoch[053] Batch [3499]/[3760] Speed: 118.201028 samples/sec accuracy=30.234821 loss=3.221065 lr=0.096308 Epoch[053] Batch [3549]/[3760] Speed: 116.844659 samples/sec accuracy=30.225792 loss=3.221148 lr=0.096303 Epoch[053] Batch [3599]/[3760] Speed: 118.197207 samples/sec accuracy=30.244358 loss=3.220323 lr=0.096298 Epoch[053] Batch [3649]/[3760] Speed: 116.992874 samples/sec accuracy=30.248288 loss=3.220069 lr=0.096293 Epoch[053] Batch [3699]/[3760] Speed: 117.246917 samples/sec accuracy=30.254645 loss=3.218498 lr=0.096289 Epoch[053] Batch [3749]/[3760] Speed: 120.848031 samples/sec accuracy=30.262083 loss=3.219203 lr=0.096284 Batch [0049]/[0303]: acc-top1=27.906250 acc-top5=52.656250 Batch [0099]/[0303]: acc-top1=26.546875 acc-top5=52.812500 Batch [0149]/[0303]: acc-top1=27.677083 acc-top5=53.875000 Batch [0199]/[0303]: acc-top1=30.640625 acc-top5=56.703125 Batch [0249]/[0303]: acc-top1=29.837500 acc-top5=56.268750 Batch [0299]/[0303]: acc-top1=29.536458 acc-top5=56.203125 [Epoch 053] training: accuracy=30.263464 loss=3.219197 [Epoch 053] speed: 116 samples/sec time cost: 2178.987655 [Epoch 053] validation: acc-top1=29.553424 acc-top5=56.136551 loss=3.370646 Epoch[054] Batch [0049]/[3760] Speed: 87.492034 samples/sec accuracy=30.781250 loss=3.185823 lr=0.096278 Epoch[054] Batch [0099]/[3760] Speed: 117.014377 samples/sec accuracy=30.421875 loss=3.200772 lr=0.096273 Epoch[054] Batch [0149]/[3760] Speed: 118.007439 samples/sec accuracy=30.572917 loss=3.186760 lr=0.096268 Epoch[054] Batch [0199]/[3760] Speed: 117.886361 samples/sec accuracy=30.343750 loss=3.195824 lr=0.096263 Epoch[054] Batch [0249]/[3760] Speed: 117.486813 samples/sec accuracy=30.412500 loss=3.202737 lr=0.096258 Epoch[054] Batch [0299]/[3760] Speed: 117.841070 samples/sec accuracy=30.270833 loss=3.204284 lr=0.096253 Epoch[054] Batch [0349]/[3760] Speed: 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accuracy=30.304464 loss=3.207008 lr=0.096110 Epoch[054] Batch [1799]/[3760] Speed: 118.119451 samples/sec accuracy=30.283854 loss=3.207384 lr=0.096105 Epoch[054] Batch [1849]/[3760] Speed: 117.591864 samples/sec accuracy=30.301520 loss=3.206496 lr=0.096100 Epoch[054] Batch [1899]/[3760] Speed: 117.563651 samples/sec accuracy=30.300164 loss=3.207047 lr=0.096095 Epoch[054] Batch [1949]/[3760] Speed: 117.809034 samples/sec accuracy=30.315705 loss=3.206711 lr=0.096090 Epoch[054] Batch [1999]/[3760] Speed: 118.162386 samples/sec accuracy=30.289844 loss=3.207195 lr=0.096085 Epoch[054] Batch [2049]/[3760] Speed: 117.040989 samples/sec accuracy=30.283537 loss=3.206923 lr=0.096080 Epoch[054] Batch [2099]/[3760] Speed: 117.058286 samples/sec accuracy=30.312500 loss=3.205391 lr=0.096075 Epoch[054] Batch [2149]/[3760] Speed: 117.715313 samples/sec accuracy=30.295058 loss=3.206274 lr=0.096070 Epoch[054] Batch [2199]/[3760] Speed: 117.598623 samples/sec accuracy=30.306818 loss=3.206010 lr=0.096065 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loss=3.206839 lr=0.095969 Epoch[054] Batch [3199]/[3760] Speed: 117.337291 samples/sec accuracy=30.289551 loss=3.206073 lr=0.095964 Epoch[054] Batch [3249]/[3760] Speed: 116.920779 samples/sec accuracy=30.277885 loss=3.207168 lr=0.095959 Epoch[054] Batch [3299]/[3760] Speed: 118.150603 samples/sec accuracy=30.282197 loss=3.206564 lr=0.095954 Epoch[054] Batch [3349]/[3760] Speed: 116.896990 samples/sec accuracy=30.283116 loss=3.206513 lr=0.095949 Epoch[054] Batch [3399]/[3760] Speed: 117.000439 samples/sec accuracy=30.275276 loss=3.207294 lr=0.095944 Epoch[054] Batch [3449]/[3760] Speed: 117.264696 samples/sec accuracy=30.286685 loss=3.206698 lr=0.095939 Epoch[054] Batch [3499]/[3760] Speed: 117.195709 samples/sec accuracy=30.284821 loss=3.206685 lr=0.095934 Epoch[054] Batch [3549]/[3760] Speed: 117.424829 samples/sec accuracy=30.277289 loss=3.207042 lr=0.095929 Epoch[054] Batch [3599]/[3760] Speed: 116.927946 samples/sec accuracy=30.273438 loss=3.207204 lr=0.095923 Epoch[054] Batch 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acc-top5=55.114583 Batch [0199]/[0303]: acc-top1=32.796875 acc-top5=57.507812 Batch [0249]/[0303]: acc-top1=32.106250 acc-top5=57.462500 Batch [0299]/[0303]: acc-top1=31.489583 acc-top5=57.901042 [Epoch 055] training: accuracy=30.284816 loss=3.206532 [Epoch 055] speed: 116 samples/sec time cost: 2177.608003 [Epoch 055] validation: acc-top1=31.502682 acc-top5=57.956889 loss=3.213295 Epoch[056] Batch [0049]/[3760] Speed: 86.148681 samples/sec accuracy=31.781250 loss=3.194268 lr=0.095509 Epoch[056] Batch [0099]/[3760] Speed: 117.507658 samples/sec accuracy=30.562500 loss=3.212286 lr=0.095504 Epoch[056] Batch [0149]/[3760] Speed: 116.931242 samples/sec accuracy=30.781250 loss=3.177249 lr=0.095498 Epoch[056] Batch [0199]/[3760] Speed: 117.265826 samples/sec accuracy=30.562500 loss=3.169023 lr=0.095493 Epoch[056] Batch [0249]/[3760] Speed: 117.710658 samples/sec accuracy=30.893750 loss=3.166767 lr=0.095488 Epoch[056] Batch [0299]/[3760] Speed: 116.375747 samples/sec accuracy=31.015625 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accuracy=30.608750 loss=3.188433 lr=0.095380 Epoch[056] Batch [1299]/[3760] Speed: 117.292702 samples/sec accuracy=30.575721 loss=3.189574 lr=0.095374 Epoch[056] Batch [1349]/[3760] Speed: 117.293633 samples/sec accuracy=30.578704 loss=3.190747 lr=0.095369 Epoch[056] Batch [1399]/[3760] Speed: 116.917801 samples/sec accuracy=30.560268 loss=3.192908 lr=0.095364 Epoch[056] Batch [1449]/[3760] Speed: 117.202540 samples/sec accuracy=30.526940 loss=3.193779 lr=0.095358 Epoch[056] Batch [1499]/[3760] Speed: 117.625129 samples/sec accuracy=30.513542 loss=3.194363 lr=0.095353 Epoch[056] Batch [1549]/[3760] Speed: 117.535367 samples/sec accuracy=30.518145 loss=3.193322 lr=0.095347 Epoch[056] Batch [1599]/[3760] Speed: 117.262057 samples/sec accuracy=30.554688 loss=3.191812 lr=0.095342 Epoch[056] Batch [1649]/[3760] Speed: 116.361369 samples/sec accuracy=30.548295 loss=3.191623 lr=0.095336 Epoch[056] Batch [1699]/[3760] Speed: 117.600357 samples/sec accuracy=30.533088 loss=3.192074 lr=0.095331 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accuracy=30.462674 loss=3.199826 lr=0.095122 Epoch[056] Batch [3649]/[3760] Speed: 117.321661 samples/sec accuracy=30.451199 loss=3.200127 lr=0.095116 Epoch[056] Batch [3699]/[3760] Speed: 117.043391 samples/sec accuracy=30.448902 loss=3.200416 lr=0.095111 Epoch[056] Batch [3749]/[3760] Speed: 120.005660 samples/sec accuracy=30.447083 loss=3.201484 lr=0.095105 Batch [0049]/[0303]: acc-top1=30.187500 acc-top5=57.281250 Batch [0099]/[0303]: acc-top1=28.406250 acc-top5=55.921875 Batch [0149]/[0303]: acc-top1=30.541667 acc-top5=57.427083 Batch [0199]/[0303]: acc-top1=32.625000 acc-top5=59.414062 Batch [0249]/[0303]: acc-top1=31.981250 acc-top5=58.818750 Batch [0299]/[0303]: acc-top1=31.515625 acc-top5=58.453125 [Epoch 056] training: accuracy=30.443401 loss=3.201488 [Epoch 056] speed: 116 samples/sec time cost: 2180.067435 [Epoch 056] validation: acc-top1=31.580033 acc-top5=58.482880 loss=3.224316 Epoch[057] Batch [0049]/[3760] Speed: 87.557685 samples/sec accuracy=28.968750 loss=3.258819 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accuracy=30.410938 loss=3.182862 lr=0.094992 Epoch[057] Batch [1049]/[3760] Speed: 117.732100 samples/sec accuracy=30.436012 loss=3.181978 lr=0.094987 Epoch[057] Batch [1099]/[3760] Speed: 117.455395 samples/sec accuracy=30.478693 loss=3.180344 lr=0.094981 Epoch[057] Batch [1149]/[3760] Speed: 117.736149 samples/sec accuracy=30.445652 loss=3.183396 lr=0.094975 Epoch[057] Batch [1199]/[3760] Speed: 116.844140 samples/sec accuracy=30.427083 loss=3.184563 lr=0.094970 Epoch[057] Batch [1249]/[3760] Speed: 117.918453 samples/sec accuracy=30.356250 loss=3.185900 lr=0.094964 Epoch[057] Batch [1299]/[3760] Speed: 116.975450 samples/sec accuracy=30.330529 loss=3.186963 lr=0.094959 Epoch[057] Batch [1349]/[3760] Speed: 117.559611 samples/sec accuracy=30.336806 loss=3.185225 lr=0.094953 Epoch[057] Batch [1399]/[3760] Speed: 117.488837 samples/sec accuracy=30.357143 loss=3.186527 lr=0.094947 Epoch[057] Batch [1449]/[3760] Speed: 117.534034 samples/sec accuracy=30.369612 loss=3.187329 lr=0.094942 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accuracy=30.438899 loss=3.194741 lr=0.094725 Epoch[057] Batch [3399]/[3760] Speed: 117.938940 samples/sec accuracy=30.427849 loss=3.195034 lr=0.094719 Epoch[057] Batch [3449]/[3760] Speed: 117.529031 samples/sec accuracy=30.429348 loss=3.194205 lr=0.094713 Epoch[057] Batch [3499]/[3760] Speed: 116.782173 samples/sec accuracy=30.432143 loss=3.194149 lr=0.094707 Epoch[057] Batch [3549]/[3760] Speed: 117.773600 samples/sec accuracy=30.437500 loss=3.194449 lr=0.094702 Epoch[057] Batch [3599]/[3760] Speed: 117.760148 samples/sec accuracy=30.470920 loss=3.193188 lr=0.094696 Epoch[057] Batch [3649]/[3760] Speed: 117.748508 samples/sec accuracy=30.447346 loss=3.194993 lr=0.094690 Epoch[057] Batch [3699]/[3760] Speed: 117.384411 samples/sec accuracy=30.425253 loss=3.196165 lr=0.094684 Epoch[057] Batch [3749]/[3760] Speed: 120.419841 samples/sec accuracy=30.411667 loss=3.196408 lr=0.094678 Batch [0049]/[0303]: acc-top1=29.843750 acc-top5=58.156250 Batch [0099]/[0303]: acc-top1=28.218750 acc-top5=56.250000 Batch [0149]/[0303]: acc-top1=29.020833 acc-top5=55.677083 Batch [0199]/[0303]: acc-top1=31.500000 acc-top5=57.945312 Batch [0249]/[0303]: acc-top1=30.681250 acc-top5=57.431250 Batch [0299]/[0303]: acc-top1=30.296875 acc-top5=57.411458 [Epoch 057] training: accuracy=30.408910 loss=3.196608 [Epoch 057] speed: 116 samples/sec time cost: 2180.156543 [Epoch 057] validation: acc-top1=30.311469 acc-top5=57.492781 loss=3.295557 Epoch[058] Batch [0049]/[3759] Speed: 87.659895 samples/sec accuracy=30.812500 loss=3.150746 lr=0.094671 Epoch[058] Batch [0099]/[3759] Speed: 117.082172 samples/sec accuracy=31.359375 loss=3.140244 lr=0.094666 Epoch[058] Batch [0149]/[3759] Speed: 117.029758 samples/sec accuracy=31.166667 loss=3.137804 lr=0.094660 Epoch[058] Batch [0199]/[3759] Speed: 116.911192 samples/sec accuracy=31.210938 loss=3.137418 lr=0.094654 Epoch[058] Batch [0249]/[3759] Speed: 117.077270 samples/sec accuracy=31.237500 loss=3.137390 lr=0.094648 Epoch[058] Batch 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accuracy=30.950000 loss=3.167566 lr=0.094590 Epoch[058] Batch [0799]/[3759] Speed: 117.338318 samples/sec accuracy=30.923828 loss=3.167548 lr=0.094584 Epoch[058] Batch [0849]/[3759] Speed: 116.989748 samples/sec accuracy=30.887868 loss=3.170227 lr=0.094578 Epoch[058] Batch [0899]/[3759] Speed: 117.774168 samples/sec accuracy=30.876736 loss=3.170182 lr=0.094573 Epoch[058] Batch [0949]/[3759] Speed: 117.328233 samples/sec accuracy=30.922697 loss=3.169492 lr=0.094567 Epoch[058] Batch [0999]/[3759] Speed: 117.109681 samples/sec accuracy=30.898437 loss=3.171511 lr=0.094561 Epoch[058] Batch [1049]/[3759] Speed: 117.144984 samples/sec accuracy=30.894345 loss=3.173680 lr=0.094555 Epoch[058] Batch [1099]/[3759] Speed: 116.887933 samples/sec accuracy=30.825284 loss=3.176132 lr=0.094549 Epoch[058] Batch [1149]/[3759] Speed: 117.305669 samples/sec accuracy=30.819293 loss=3.176555 lr=0.094543 Epoch[058] Batch [1199]/[3759] Speed: 116.546495 samples/sec accuracy=30.795573 loss=3.176109 lr=0.094537 Epoch[058] Batch [1249]/[3759] Speed: 116.919172 samples/sec accuracy=30.830000 loss=3.175260 lr=0.094532 Epoch[058] Batch [1299]/[3759] Speed: 117.085942 samples/sec accuracy=30.822115 loss=3.176084 lr=0.094526 Epoch[058] Batch [1349]/[3759] Speed: 117.136029 samples/sec accuracy=30.806713 loss=3.177157 lr=0.094520 Epoch[058] Batch [1399]/[3759] Speed: 116.485230 samples/sec accuracy=30.797991 loss=3.176254 lr=0.094514 Epoch[058] Batch [1449]/[3759] Speed: 117.493248 samples/sec accuracy=30.782328 loss=3.175980 lr=0.094508 Epoch[058] Batch [1499]/[3759] Speed: 116.364436 samples/sec accuracy=30.751042 loss=3.177886 lr=0.094502 Epoch[058] Batch [1549]/[3759] Speed: 117.551914 samples/sec accuracy=30.706653 loss=3.179672 lr=0.094496 Epoch[058] Batch [1599]/[3759] Speed: 117.898646 samples/sec accuracy=30.674805 loss=3.180546 lr=0.094490 Epoch[058] Batch [1649]/[3759] Speed: 116.745645 samples/sec accuracy=30.681818 loss=3.179920 lr=0.094485 Epoch[058] Batch [1699]/[3759] Speed: 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loss=3.186036 lr=0.094425 Epoch[058] Batch [2199]/[3759] Speed: 116.590307 samples/sec accuracy=30.671165 loss=3.186445 lr=0.094420 Epoch[058] Batch [2249]/[3759] Speed: 117.346946 samples/sec accuracy=30.670139 loss=3.185710 lr=0.094414 Epoch[058] Batch [2299]/[3759] Speed: 116.894806 samples/sec accuracy=30.703125 loss=3.184536 lr=0.094408 Epoch[058] Batch [2349]/[3759] Speed: 116.738997 samples/sec accuracy=30.732048 loss=3.184676 lr=0.094402 Epoch[058] Batch [2399]/[3759] Speed: 117.937915 samples/sec accuracy=30.703125 loss=3.186520 lr=0.094396 Epoch[058] Batch [2449]/[3759] Speed: 117.516095 samples/sec accuracy=30.717474 loss=3.186907 lr=0.094390 Epoch[058] Batch [2499]/[3759] Speed: 117.198785 samples/sec accuracy=30.717500 loss=3.187553 lr=0.094384 Epoch[058] Batch [2549]/[3759] Speed: 116.657321 samples/sec accuracy=30.717525 loss=3.187303 lr=0.094378 Epoch[058] Batch [2599]/[3759] Speed: 116.782752 samples/sec accuracy=30.734375 loss=3.185508 lr=0.094372 Epoch[058] Batch 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accuracy=30.697077 loss=3.188863 lr=0.094312 Epoch[058] Batch [3149]/[3759] Speed: 117.464505 samples/sec accuracy=30.700397 loss=3.189229 lr=0.094307 Epoch[058] Batch [3199]/[3759] Speed: 116.633727 samples/sec accuracy=30.700195 loss=3.190836 lr=0.094301 Epoch[058] Batch [3249]/[3759] Speed: 116.974392 samples/sec accuracy=30.689423 loss=3.190916 lr=0.094295 Epoch[058] Batch [3299]/[3759] Speed: 117.256056 samples/sec accuracy=30.687973 loss=3.191344 lr=0.094289 Epoch[058] Batch [3349]/[3759] Speed: 117.205655 samples/sec accuracy=30.683302 loss=3.191786 lr=0.094283 Epoch[058] Batch [3399]/[3759] Speed: 116.879665 samples/sec accuracy=30.660386 loss=3.192800 lr=0.094277 Epoch[058] Batch [3449]/[3759] Speed: 117.311452 samples/sec accuracy=30.653080 loss=3.193058 lr=0.094271 Epoch[058] Batch [3499]/[3759] Speed: 118.326180 samples/sec accuracy=30.658482 loss=3.192835 lr=0.094265 Epoch[058] Batch [3549]/[3759] Speed: 116.451598 samples/sec accuracy=30.632923 loss=3.193598 lr=0.094259 Epoch[058] Batch [3599]/[3759] Speed: 117.423889 samples/sec accuracy=30.618490 loss=3.194516 lr=0.094253 Epoch[058] Batch [3649]/[3759] Speed: 117.011801 samples/sec accuracy=30.608733 loss=3.194517 lr=0.094247 Epoch[058] Batch [3699]/[3759] Speed: 116.968765 samples/sec accuracy=30.602618 loss=3.194493 lr=0.094241 Epoch[058] Batch [3749]/[3759] Speed: 121.002506 samples/sec accuracy=30.588333 loss=3.195398 lr=0.094235 Batch [0049]/[0303]: acc-top1=33.187500 acc-top5=59.062500 Batch [0099]/[0303]: acc-top1=29.968750 acc-top5=56.234375 Batch [0149]/[0303]: acc-top1=31.468750 acc-top5=57.447917 Batch [0199]/[0303]: acc-top1=34.046875 acc-top5=59.960938 Batch [0249]/[0303]: acc-top1=33.643750 acc-top5=59.837500 Batch [0299]/[0303]: acc-top1=33.166667 acc-top5=59.984375 [Epoch 058] training: accuracy=30.590333 loss=3.195310 [Epoch 058] speed: 116 samples/sec time cost: 2182.524387 [Epoch 058] validation: acc-top1=33.111592 acc-top5=59.988655 loss=3.124831 Epoch[059] Batch [0049]/[3760] 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accuracy=30.713268 loss=3.193304 lr=0.093886 Epoch[059] Batch [2899]/[3760] Speed: 116.828932 samples/sec accuracy=30.726832 loss=3.192839 lr=0.093880 Epoch[059] Batch [2949]/[3760] Speed: 117.369386 samples/sec accuracy=30.724047 loss=3.193432 lr=0.093874 Epoch[059] Batch [2999]/[3760] Speed: 117.378514 samples/sec accuracy=30.746354 loss=3.192573 lr=0.093867 Epoch[059] Batch [3049]/[3760] Speed: 117.122247 samples/sec accuracy=30.746926 loss=3.192915 lr=0.093861 Epoch[059] Batch [3099]/[3760] Speed: 117.492502 samples/sec accuracy=30.779738 loss=3.191643 lr=0.093855 Epoch[059] Batch [3149]/[3760] Speed: 117.662370 samples/sec accuracy=30.766369 loss=3.192392 lr=0.093849 Epoch[059] Batch [3199]/[3760] Speed: 117.917699 samples/sec accuracy=30.779785 loss=3.191481 lr=0.093843 Epoch[059] Batch [3249]/[3760] Speed: 117.556636 samples/sec accuracy=30.796635 loss=3.191194 lr=0.093836 Epoch[059] Batch [3299]/[3760] Speed: 117.891382 samples/sec accuracy=30.787879 loss=3.191697 lr=0.093830 Epoch[059] Batch [3349]/[3760] Speed: 117.558717 samples/sec accuracy=30.776586 loss=3.191647 lr=0.093824 Epoch[059] Batch [3399]/[3760] Speed: 117.307093 samples/sec accuracy=30.771599 loss=3.192526 lr=0.093818 Epoch[059] Batch [3449]/[3760] Speed: 118.053603 samples/sec accuracy=30.777627 loss=3.192469 lr=0.093812 Epoch[059] Batch [3499]/[3760] Speed: 116.674714 samples/sec accuracy=30.786161 loss=3.191980 lr=0.093805 Epoch[059] Batch [3549]/[3760] Speed: 117.724224 samples/sec accuracy=30.772447 loss=3.192314 lr=0.093799 Epoch[059] Batch [3599]/[3760] Speed: 116.863328 samples/sec accuracy=30.763455 loss=3.192963 lr=0.093793 Epoch[059] Batch [3649]/[3760] Speed: 118.263121 samples/sec accuracy=30.755565 loss=3.193403 lr=0.093787 Epoch[059] Batch [3699]/[3760] Speed: 117.427116 samples/sec accuracy=30.751689 loss=3.193457 lr=0.093781 Epoch[059] Batch [3749]/[3760] Speed: 120.510035 samples/sec accuracy=30.746250 loss=3.193722 lr=0.093774 Batch [0049]/[0303]: acc-top1=30.968750 acc-top5=55.625000 Batch [0099]/[0303]: acc-top1=28.203125 acc-top5=53.578125 Batch [0149]/[0303]: acc-top1=29.979167 acc-top5=55.354167 Batch [0199]/[0303]: acc-top1=32.742188 acc-top5=58.117188 Batch [0249]/[0303]: acc-top1=31.987500 acc-top5=58.156250 Batch [0299]/[0303]: acc-top1=31.354167 acc-top5=58.223958 [Epoch 059] training: accuracy=30.752992 loss=3.193573 [Epoch 059] speed: 116 samples/sec time cost: 2179.091674 [Epoch 059] validation: acc-top1=31.265470 acc-top5=58.152847 loss=3.218123 Epoch[060] Batch [0049]/[3760] Speed: 86.781486 samples/sec accuracy=30.968750 loss=3.176050 lr=0.093767 Epoch[060] Batch [0099]/[3760] Speed: 118.007601 samples/sec accuracy=30.500000 loss=3.190623 lr=0.093761 Epoch[060] Batch [0149]/[3760] Speed: 117.761980 samples/sec accuracy=31.062500 loss=3.163156 lr=0.093754 Epoch[060] Batch [0199]/[3760] Speed: 117.934004 samples/sec accuracy=31.390625 loss=3.154419 lr=0.093748 Epoch[060] Batch [0249]/[3760] Speed: 117.577138 samples/sec accuracy=31.456250 loss=3.152674 lr=0.093742 Epoch[060] Batch [0299]/[3760] Speed: 117.159694 samples/sec accuracy=31.427083 loss=3.140638 lr=0.093736 Epoch[060] Batch [0349]/[3760] Speed: 117.350753 samples/sec accuracy=31.290179 loss=3.151720 lr=0.093729 Epoch[060] Batch [0399]/[3760] Speed: 117.557179 samples/sec accuracy=31.222656 loss=3.157710 lr=0.093723 Epoch[060] Batch [0449]/[3760] Speed: 117.328353 samples/sec accuracy=31.225694 loss=3.160482 lr=0.093717 Epoch[060] Batch [0499]/[3760] Speed: 117.763860 samples/sec accuracy=31.181250 loss=3.163039 lr=0.093711 Epoch[060] Batch [0549]/[3760] Speed: 117.874908 samples/sec accuracy=31.127841 loss=3.164782 lr=0.093704 Epoch[060] Batch [0599]/[3760] Speed: 117.695378 samples/sec accuracy=31.065104 loss=3.167692 lr=0.093698 Epoch[060] Batch [0649]/[3760] Speed: 118.086816 samples/sec accuracy=31.134615 loss=3.165847 lr=0.093692 Epoch[060] Batch [0699]/[3760] Speed: 116.891641 samples/sec accuracy=31.037946 loss=3.170961 lr=0.093685 Epoch[060] Batch [0749]/[3760] Speed: 117.056992 samples/sec accuracy=30.983333 loss=3.170918 lr=0.093679 Epoch[060] Batch [0799]/[3760] Speed: 116.751353 samples/sec accuracy=31.000000 loss=3.167359 lr=0.093673 Epoch[060] Batch [0849]/[3760] Speed: 117.369287 samples/sec accuracy=31.005515 loss=3.167700 lr=0.093667 Epoch[060] Batch [0899]/[3760] Speed: 117.812436 samples/sec accuracy=30.986111 loss=3.168212 lr=0.093660 Epoch[060] Batch [0949]/[3760] Speed: 117.282448 samples/sec accuracy=31.036184 loss=3.165949 lr=0.093654 Epoch[060] Batch [0999]/[3760] Speed: 117.247325 samples/sec accuracy=30.995313 loss=3.168845 lr=0.093648 Epoch[060] Batch [1049]/[3760] Speed: 117.403388 samples/sec accuracy=30.992560 loss=3.168701 lr=0.093641 Epoch[060] Batch [1099]/[3760] Speed: 117.048473 samples/sec accuracy=30.960227 loss=3.169436 lr=0.093635 Epoch[060] Batch [1149]/[3760] Speed: 117.576529 samples/sec accuracy=30.918478 loss=3.170708 lr=0.093629 Epoch[060] Batch [1199]/[3760] Speed: 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loss=3.179105 lr=0.093566 Epoch[060] Batch [1699]/[3760] Speed: 116.628137 samples/sec accuracy=30.713235 loss=3.179899 lr=0.093559 Epoch[060] Batch [1749]/[3760] Speed: 117.282747 samples/sec accuracy=30.720536 loss=3.179376 lr=0.093553 Epoch[060] Batch [1799]/[3760] Speed: 116.880373 samples/sec accuracy=30.705729 loss=3.179893 lr=0.093547 Epoch[060] Batch [1849]/[3760] Speed: 117.844661 samples/sec accuracy=30.674831 loss=3.181195 lr=0.093540 Epoch[060] Batch [1899]/[3760] Speed: 117.550587 samples/sec accuracy=30.670230 loss=3.180232 lr=0.093534 Epoch[060] Batch [1949]/[3760] Speed: 116.906787 samples/sec accuracy=30.669872 loss=3.180020 lr=0.093528 Epoch[060] Batch [1999]/[3760] Speed: 117.937129 samples/sec accuracy=30.650781 loss=3.180115 lr=0.093521 Epoch[060] Batch [2049]/[3760] Speed: 117.231786 samples/sec accuracy=30.640244 loss=3.179447 lr=0.093515 Epoch[060] Batch [2099]/[3760] Speed: 117.346275 samples/sec accuracy=30.662946 loss=3.179658 lr=0.093509 Epoch[060] Batch 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accuracy=30.740986 loss=3.178161 lr=0.093445 Epoch[060] Batch [2649]/[3760] Speed: 117.680693 samples/sec accuracy=30.747052 loss=3.178007 lr=0.093439 Epoch[060] Batch [2699]/[3760] Speed: 117.542445 samples/sec accuracy=30.724537 loss=3.178640 lr=0.093432 Epoch[060] Batch [2749]/[3760] Speed: 117.119525 samples/sec accuracy=30.747159 loss=3.177923 lr=0.093426 Epoch[060] Batch [2799]/[3760] Speed: 118.236979 samples/sec accuracy=30.756138 loss=3.177774 lr=0.093419 Epoch[060] Batch [2849]/[3760] Speed: 116.072222 samples/sec accuracy=30.746162 loss=3.179526 lr=0.093413 Epoch[060] Batch [2899]/[3760] Speed: 118.207385 samples/sec accuracy=30.772091 loss=3.178764 lr=0.093407 Epoch[060] Batch [2949]/[3760] Speed: 117.921451 samples/sec accuracy=30.784958 loss=3.178947 lr=0.093400 Epoch[060] Batch [2999]/[3760] Speed: 117.031318 samples/sec accuracy=30.773438 loss=3.179019 lr=0.093394 Epoch[060] Batch [3049]/[3760] Speed: 116.729170 samples/sec accuracy=30.777152 loss=3.179417 lr=0.093387 Epoch[060] Batch [3099]/[3760] Speed: 118.118324 samples/sec accuracy=30.768649 loss=3.179564 lr=0.093381 Epoch[060] Batch [3149]/[3760] Speed: 117.801496 samples/sec accuracy=30.748512 loss=3.179470 lr=0.093375 Epoch[060] Batch [3199]/[3760] Speed: 117.688541 samples/sec accuracy=30.732910 loss=3.179983 lr=0.093368 Epoch[060] Batch [3249]/[3760] Speed: 117.609578 samples/sec accuracy=30.721154 loss=3.180338 lr=0.093362 Epoch[060] Batch [3299]/[3760] Speed: 118.184592 samples/sec accuracy=30.715436 loss=3.181039 lr=0.093355 Epoch[060] Batch [3349]/[3760] Speed: 117.222398 samples/sec accuracy=30.701493 loss=3.182052 lr=0.093349 Epoch[060] Batch [3399]/[3760] Speed: 117.186820 samples/sec accuracy=30.687040 loss=3.182810 lr=0.093342 Epoch[060] Batch [3449]/[3760] Speed: 116.383524 samples/sec accuracy=30.695199 loss=3.183053 lr=0.093336 Epoch[060] Batch [3499]/[3760] Speed: 116.986117 samples/sec accuracy=30.695982 loss=3.183608 lr=0.093330 Epoch[060] Batch [3549]/[3760] Speed: 117.293562 samples/sec accuracy=30.690581 loss=3.183938 lr=0.093323 Epoch[060] Batch [3599]/[3760] Speed: 117.700223 samples/sec accuracy=30.701823 loss=3.183117 lr=0.093317 Epoch[060] Batch [3649]/[3760] Speed: 117.328566 samples/sec accuracy=30.699486 loss=3.183116 lr=0.093310 Epoch[060] Batch [3699]/[3760] Speed: 117.324446 samples/sec accuracy=30.699747 loss=3.183551 lr=0.093304 Epoch[060] Batch [3749]/[3760] Speed: 120.386288 samples/sec accuracy=30.696250 loss=3.184585 lr=0.093297 Batch [0049]/[0303]: acc-top1=29.343750 acc-top5=56.562500 Batch [0099]/[0303]: acc-top1=27.187500 acc-top5=54.453125 Batch [0149]/[0303]: acc-top1=29.114583 acc-top5=55.687500 Batch [0199]/[0303]: acc-top1=31.398438 acc-top5=57.695312 Batch [0249]/[0303]: acc-top1=30.925000 acc-top5=57.550000 Batch [0299]/[0303]: acc-top1=30.479167 acc-top5=57.682292 [Epoch 060] training: accuracy=30.693152 loss=3.184501 [Epoch 060] speed: 116 samples/sec time cost: 2177.953830 [Epoch 060] validation: acc-top1=30.543523 acc-top5=57.724835 loss=3.312907 Epoch[061] Batch [0049]/[3759] Speed: 87.629579 samples/sec accuracy=31.812500 loss=3.106753 lr=0.093290 Epoch[061] Batch [0099]/[3759] Speed: 117.056094 samples/sec accuracy=32.234375 loss=3.085887 lr=0.093283 Epoch[061] Batch [0149]/[3759] Speed: 117.264390 samples/sec accuracy=31.822917 loss=3.108979 lr=0.093277 Epoch[061] Batch [0199]/[3759] Speed: 117.420324 samples/sec accuracy=31.570312 loss=3.128393 lr=0.093270 Epoch[061] Batch [0249]/[3759] Speed: 117.038546 samples/sec accuracy=31.487500 loss=3.140351 lr=0.093264 Epoch[061] Batch [0299]/[3759] Speed: 117.115127 samples/sec accuracy=31.416667 loss=3.150438 lr=0.093257 Epoch[061] Batch [0349]/[3759] Speed: 117.504085 samples/sec accuracy=31.535714 loss=3.143127 lr=0.093251 Epoch[061] Batch [0399]/[3759] Speed: 117.270886 samples/sec accuracy=31.460938 loss=3.141397 lr=0.093244 Epoch[061] Batch [0449]/[3759] Speed: 117.624989 samples/sec accuracy=31.364583 loss=3.144623 lr=0.093238 Epoch[061] Batch [0499]/[3759] Speed: 116.910502 samples/sec accuracy=31.328125 loss=3.146277 lr=0.093231 Epoch[061] Batch [0549]/[3759] Speed: 117.179059 samples/sec accuracy=31.261364 loss=3.146891 lr=0.093225 Epoch[061] Batch [0599]/[3759] Speed: 117.437939 samples/sec accuracy=31.312500 loss=3.146732 lr=0.093218 Epoch[061] Batch [0649]/[3759] Speed: 117.784143 samples/sec accuracy=31.360577 loss=3.146886 lr=0.093212 Epoch[061] Batch [0699]/[3759] Speed: 117.234662 samples/sec accuracy=31.229911 loss=3.156336 lr=0.093205 Epoch[061] Batch [0749]/[3759] Speed: 117.674026 samples/sec accuracy=31.289583 loss=3.153167 lr=0.093199 Epoch[061] Batch [0799]/[3759] Speed: 116.737811 samples/sec accuracy=31.263672 loss=3.153220 lr=0.093193 Epoch[061] Batch [0849]/[3759] Speed: 116.038987 samples/sec accuracy=31.283088 loss=3.152199 lr=0.093186 Epoch[061] Batch [0899]/[3759] Speed: 117.228249 samples/sec accuracy=31.237847 loss=3.155437 lr=0.093180 Epoch[061] Batch [0949]/[3759] Speed: 117.259942 samples/sec accuracy=31.180921 loss=3.158289 lr=0.093173 Epoch[061] Batch [0999]/[3759] Speed: 117.046932 samples/sec accuracy=31.134375 loss=3.162176 lr=0.093166 Epoch[061] Batch [1049]/[3759] Speed: 117.400099 samples/sec accuracy=31.114583 loss=3.162456 lr=0.093160 Epoch[061] Batch [1099]/[3759] Speed: 117.544617 samples/sec accuracy=31.146307 loss=3.164169 lr=0.093153 Epoch[061] Batch [1149]/[3759] Speed: 117.841160 samples/sec accuracy=31.099185 loss=3.167082 lr=0.093147 Epoch[061] Batch [1199]/[3759] Speed: 116.845140 samples/sec accuracy=31.040365 loss=3.168517 lr=0.093140 Epoch[061] Batch [1249]/[3759] Speed: 117.183697 samples/sec accuracy=30.983750 loss=3.170397 lr=0.093134 Epoch[061] Batch [1299]/[3759] Speed: 116.967346 samples/sec accuracy=30.973558 loss=3.171168 lr=0.093127 Epoch[061] Batch [1349]/[3759] Speed: 116.373990 samples/sec accuracy=30.966435 loss=3.172133 lr=0.093121 Epoch[061] Batch [1399]/[3759] Speed: 116.906116 samples/sec accuracy=30.968750 loss=3.172154 lr=0.093114 Epoch[061] Batch [1449]/[3759] Speed: 116.840794 samples/sec accuracy=31.025862 loss=3.171253 lr=0.093108 Epoch[061] Batch [1499]/[3759] Speed: 116.709166 samples/sec accuracy=31.026042 loss=3.171455 lr=0.093101 Epoch[061] Batch [1549]/[3759] Speed: 117.074896 samples/sec accuracy=30.981855 loss=3.173075 lr=0.093095 Epoch[061] Batch [1599]/[3759] Speed: 117.347745 samples/sec accuracy=30.945312 loss=3.174369 lr=0.093088 Epoch[061] Batch [1649]/[3759] Speed: 118.071874 samples/sec accuracy=30.978220 loss=3.173755 lr=0.093082 Epoch[061] Batch [1699]/[3759] Speed: 117.973758 samples/sec accuracy=31.006434 loss=3.172046 lr=0.093075 Epoch[061] Batch [1749]/[3759] Speed: 117.592471 samples/sec accuracy=31.006250 loss=3.172953 lr=0.093069 Epoch[061] Batch [1799]/[3759] Speed: 116.842028 samples/sec accuracy=31.032986 loss=3.172516 lr=0.093062 Epoch[061] Batch [1849]/[3759] Speed: 116.831421 samples/sec accuracy=31.042230 loss=3.172164 lr=0.093055 Epoch[061] Batch [1899]/[3759] Speed: 117.016908 samples/sec accuracy=31.046875 loss=3.172330 lr=0.093049 Epoch[061] Batch [1949]/[3759] Speed: 116.921932 samples/sec accuracy=31.047276 loss=3.172400 lr=0.093042 Epoch[061] Batch [1999]/[3759] Speed: 117.035642 samples/sec accuracy=31.053125 loss=3.173201 lr=0.093036 Epoch[061] Batch [2049]/[3759] Speed: 117.885792 samples/sec accuracy=31.032774 loss=3.174166 lr=0.093029 Epoch[061] Batch [2099]/[3759] Speed: 117.727745 samples/sec accuracy=31.065476 loss=3.172957 lr=0.093023 Epoch[061] Batch [2149]/[3759] Speed: 117.087497 samples/sec accuracy=31.067587 loss=3.172555 lr=0.093016 Epoch[061] Batch [2199]/[3759] Speed: 117.128167 samples/sec accuracy=31.071023 loss=3.172217 lr=0.093009 Epoch[061] Batch [2249]/[3759] Speed: 116.879864 samples/sec accuracy=31.045139 loss=3.172152 lr=0.093003 Epoch[061] Batch [2299]/[3759] Speed: 117.480026 samples/sec accuracy=31.046875 loss=3.170223 lr=0.092996 Epoch[061] Batch [2349]/[3759] Speed: 117.160115 samples/sec accuracy=31.058511 loss=3.170223 lr=0.092990 Epoch[061] Batch [2399]/[3759] Speed: 117.865014 samples/sec accuracy=31.085286 loss=3.169958 lr=0.092983 Epoch[061] Batch [2449]/[3759] Speed: 117.280848 samples/sec accuracy=31.070153 loss=3.170215 lr=0.092977 Epoch[061] Batch [2499]/[3759] Speed: 116.980929 samples/sec accuracy=31.065625 loss=3.169347 lr=0.092970 Epoch[061] Batch [2549]/[3759] Speed: 116.552093 samples/sec accuracy=31.047794 loss=3.169723 lr=0.092963 Epoch[061] Batch [2599]/[3759] Speed: 116.845018 samples/sec accuracy=31.039062 loss=3.169509 lr=0.092957 Epoch[061] Batch [2649]/[3759] Speed: 117.465067 samples/sec accuracy=31.002358 loss=3.170483 lr=0.092950 Epoch[061] Batch [2699]/[3759] Speed: 116.747947 samples/sec accuracy=30.989005 loss=3.171228 lr=0.092944 Epoch[061] Batch [2749]/[3759] Speed: 117.119574 samples/sec accuracy=31.002273 loss=3.170660 lr=0.092937 Epoch[061] Batch [2799]/[3759] Speed: 117.816926 samples/sec accuracy=31.001116 loss=3.170443 lr=0.092930 Epoch[061] Batch [2849]/[3759] Speed: 117.080496 samples/sec accuracy=30.968750 loss=3.172092 lr=0.092924 Epoch[061] Batch [2899]/[3759] Speed: 117.389781 samples/sec accuracy=30.956897 loss=3.172928 lr=0.092917 Epoch[061] Batch [2949]/[3759] Speed: 116.536845 samples/sec accuracy=30.995763 loss=3.171364 lr=0.092910 Epoch[061] Batch [2999]/[3759] Speed: 117.227280 samples/sec accuracy=30.998958 loss=3.171773 lr=0.092904 Epoch[061] Batch [3049]/[3759] Speed: 117.657278 samples/sec accuracy=30.987705 loss=3.171784 lr=0.092897 Epoch[061] Batch [3099]/[3759] Speed: 116.913165 samples/sec accuracy=30.966230 loss=3.172603 lr=0.092891 Epoch[061] Batch [3149]/[3759] Speed: 117.600563 samples/sec accuracy=30.954365 loss=3.173566 lr=0.092884 Epoch[061] Batch [3199]/[3759] Speed: 117.550062 samples/sec accuracy=30.950195 loss=3.174259 lr=0.092877 Epoch[061] Batch [3249]/[3759] Speed: 117.700844 samples/sec accuracy=30.958654 loss=3.174407 lr=0.092871 Epoch[061] Batch [3299]/[3759] Speed: 117.189324 samples/sec accuracy=30.959280 loss=3.174771 lr=0.092864 Epoch[061] Batch [3349]/[3759] Speed: 117.138919 samples/sec accuracy=30.971549 loss=3.174700 lr=0.092857 Epoch[061] Batch [3399]/[3759] Speed: 117.374031 samples/sec accuracy=30.959099 loss=3.174722 lr=0.092851 Epoch[061] Batch [3449]/[3759] Speed: 117.714018 samples/sec accuracy=30.960145 loss=3.174811 lr=0.092844 Epoch[061] Batch [3499]/[3759] Speed: 117.350485 samples/sec accuracy=30.954911 loss=3.175109 lr=0.092837 Epoch[061] Batch [3549]/[3759] Speed: 117.607696 samples/sec accuracy=30.961268 loss=3.174649 lr=0.092831 Epoch[061] Batch [3599]/[3759] Speed: 117.471388 samples/sec accuracy=30.973090 loss=3.174212 lr=0.092824 Epoch[061] Batch [3649]/[3759] Speed: 117.522102 samples/sec accuracy=30.955479 loss=3.175068 lr=0.092818 Epoch[061] Batch [3699]/[3759] Speed: 116.234118 samples/sec accuracy=30.953970 loss=3.175007 lr=0.092811 Epoch[061] Batch [3749]/[3759] Speed: 120.557568 samples/sec accuracy=30.969167 loss=3.174627 lr=0.092804 Batch [0049]/[0303]: acc-top1=30.906250 acc-top5=58.937500 Batch [0099]/[0303]: acc-top1=29.296875 acc-top5=56.734375 Batch [0149]/[0303]: acc-top1=30.541667 acc-top5=57.156250 Batch [0199]/[0303]: acc-top1=33.273438 acc-top5=59.515625 Batch [0249]/[0303]: acc-top1=31.937500 acc-top5=59.000000 Batch [0299]/[0303]: acc-top1=31.348958 acc-top5=58.432292 [Epoch 061] training: accuracy=30.966514 loss=3.174573 [Epoch 061] speed: 116 samples/sec time cost: 2180.808583 [Epoch 061] validation: acc-top1=31.275784 acc-top5=58.441625 loss=3.245693 Epoch[062] Batch [0049]/[3760] Speed: 87.184689 samples/sec accuracy=32.593750 loss=3.138767 lr=0.092796 Epoch[062] Batch [0099]/[3760] Speed: 117.745345 samples/sec accuracy=32.234375 loss=3.156952 lr=0.092790 Epoch[062] Batch [0149]/[3760] Speed: 118.305480 samples/sec accuracy=31.937500 loss=3.156517 lr=0.092783 Epoch[062] Batch [0199]/[3760] Speed: 116.842639 samples/sec accuracy=31.609375 loss=3.165958 lr=0.092776 Epoch[062] Batch [0249]/[3760] Speed: 117.847150 samples/sec accuracy=31.518750 loss=3.160701 lr=0.092770 Epoch[062] Batch [0299]/[3760] Speed: 117.665898 samples/sec accuracy=31.432292 loss=3.150609 lr=0.092763 Epoch[062] Batch [0349]/[3760] Speed: 117.595782 samples/sec accuracy=31.517857 loss=3.143266 lr=0.092756 Epoch[062] Batch [0399]/[3760] Speed: 117.096090 samples/sec accuracy=31.394531 loss=3.148810 lr=0.092750 Epoch[062] Batch [0449]/[3760] Speed: 117.842403 samples/sec accuracy=31.368056 loss=3.152594 lr=0.092743 Epoch[062] Batch [0499]/[3760] Speed: 116.953380 samples/sec accuracy=31.456250 loss=3.145408 lr=0.092736 Epoch[062] Batch [0549]/[3760] Speed: 116.367564 samples/sec accuracy=31.423295 loss=3.148349 lr=0.092729 Epoch[062] Batch [0599]/[3760] Speed: 117.495217 samples/sec accuracy=31.552083 loss=3.142554 lr=0.092723 Epoch[062] Batch [0649]/[3760] Speed: 117.237477 samples/sec accuracy=31.600962 loss=3.138226 lr=0.092716 Epoch[062] Batch [0699]/[3760] Speed: 116.938011 samples/sec accuracy=31.473214 loss=3.144837 lr=0.092709 Epoch[062] Batch [0749]/[3760] Speed: 117.587190 samples/sec accuracy=31.429167 loss=3.146366 lr=0.092703 Epoch[062] Batch [0799]/[3760] Speed: 117.854429 samples/sec accuracy=31.501953 loss=3.144370 lr=0.092696 Epoch[062] Batch [0849]/[3760] Speed: 117.635641 samples/sec accuracy=31.419118 loss=3.147407 lr=0.092689 Epoch[062] Batch [0899]/[3760] Speed: 117.802318 samples/sec accuracy=31.460069 loss=3.146926 lr=0.092683 Epoch[062] Batch [0949]/[3760] Speed: 117.193774 samples/sec accuracy=31.394737 loss=3.147601 lr=0.092676 Epoch[062] Batch [0999]/[3760] Speed: 117.273384 samples/sec accuracy=31.378125 loss=3.146713 lr=0.092669 Epoch[062] Batch [1049]/[3760] Speed: 117.487917 samples/sec accuracy=31.431548 loss=3.144630 lr=0.092662 Epoch[062] Batch [1099]/[3760] Speed: 114.722177 samples/sec accuracy=31.420455 loss=3.146390 lr=0.092656 Epoch[062] Batch [1149]/[3760] Speed: 116.988030 samples/sec accuracy=31.377717 loss=3.148315 lr=0.092649 Epoch[062] Batch [1199]/[3760] Speed: 117.148134 samples/sec accuracy=31.337240 loss=3.151441 lr=0.092642 Epoch[062] Batch [1249]/[3760] Speed: 117.065007 samples/sec accuracy=31.338750 loss=3.150921 lr=0.092635 Epoch[062] Batch [1299]/[3760] Speed: 117.295370 samples/sec accuracy=31.361779 loss=3.151138 lr=0.092629 Epoch[062] Batch [1349]/[3760] Speed: 117.641315 samples/sec accuracy=31.341435 loss=3.153664 lr=0.092622 Epoch[062] Batch [1399]/[3760] Speed: 116.789939 samples/sec accuracy=31.296875 loss=3.153727 lr=0.092615 Epoch[062] Batch [1449]/[3760] Speed: 117.812335 samples/sec accuracy=31.301724 loss=3.152958 lr=0.092608 Epoch[062] Batch [1499]/[3760] Speed: 118.101267 samples/sec accuracy=31.311458 loss=3.153627 lr=0.092602 Epoch[062] Batch [1549]/[3760] Speed: 117.166325 samples/sec accuracy=31.311492 loss=3.152751 lr=0.092595 Epoch[062] Batch [1599]/[3760] Speed: 116.965862 samples/sec accuracy=31.312500 loss=3.153374 lr=0.092588 Epoch[062] Batch [1649]/[3760] Speed: 117.236099 samples/sec accuracy=31.320076 loss=3.153019 lr=0.092581 Epoch[062] Batch [1699]/[3760] Speed: 116.527201 samples/sec accuracy=31.307904 loss=3.153292 lr=0.092575 Epoch[062] Batch [1749]/[3760] Speed: 116.685006 samples/sec accuracy=31.266964 loss=3.154270 lr=0.092568 Epoch[062] Batch [1799]/[3760] Speed: 117.933839 samples/sec accuracy=31.219618 loss=3.156990 lr=0.092561 Epoch[062] Batch [1849]/[3760] Speed: 117.603913 samples/sec accuracy=31.221284 loss=3.157903 lr=0.092554 Epoch[062] Batch [1899]/[3760] Speed: 117.809872 samples/sec accuracy=31.237664 loss=3.158401 lr=0.092548 Epoch[062] Batch [1949]/[3760] Speed: 117.458092 samples/sec accuracy=31.218750 loss=3.158512 lr=0.092541 Epoch[062] Batch [1999]/[3760] Speed: 117.772619 samples/sec accuracy=31.242969 loss=3.156401 lr=0.092534 Epoch[062] Batch [2049]/[3760] Speed: 116.992200 samples/sec accuracy=31.227134 loss=3.156563 lr=0.092527 Epoch[062] Batch [2099]/[3760] Speed: 117.136438 samples/sec accuracy=31.200893 loss=3.158364 lr=0.092520 Epoch[062] Batch [2149]/[3760] Speed: 117.996345 samples/sec accuracy=31.182413 loss=3.158376 lr=0.092514 Epoch[062] Batch [2199]/[3760] Speed: 117.159037 samples/sec accuracy=31.198864 loss=3.157871 lr=0.092507 Epoch[062] Batch [2249]/[3760] Speed: 116.842552 samples/sec accuracy=31.184722 loss=3.158967 lr=0.092500 Epoch[062] Batch [2299]/[3760] Speed: 117.987820 samples/sec accuracy=31.164402 loss=3.159351 lr=0.092493 Epoch[062] Batch [2349]/[3760] Speed: 117.169621 samples/sec accuracy=31.139628 loss=3.160819 lr=0.092487 Epoch[062] Batch [2399]/[3760] Speed: 117.186463 samples/sec accuracy=31.124349 loss=3.161847 lr=0.092480 Epoch[062] Batch [2449]/[3760] Speed: 117.331244 samples/sec accuracy=31.109056 loss=3.163373 lr=0.092473 Epoch[062] Batch [2499]/[3760] Speed: 116.709637 samples/sec accuracy=31.104375 loss=3.163520 lr=0.092466 Epoch[062] Batch [2549]/[3760] Speed: 118.000129 samples/sec accuracy=31.109681 loss=3.163661 lr=0.092459 Epoch[062] Batch [2599]/[3760] Speed: 117.969927 samples/sec accuracy=31.106971 loss=3.163495 lr=0.092452 Epoch[062] Batch [2649]/[3760] Speed: 117.247909 samples/sec accuracy=31.130896 loss=3.162113 lr=0.092446 Epoch[062] Batch [2699]/[3760] Speed: 117.460440 samples/sec accuracy=31.097801 loss=3.163906 lr=0.092439 Epoch[062] Batch [2749]/[3760] Speed: 117.165653 samples/sec accuracy=31.096591 loss=3.164352 lr=0.092432 Epoch[062] Batch [2799]/[3760] Speed: 117.220428 samples/sec accuracy=31.082031 loss=3.165500 lr=0.092425 Epoch[062] Batch [2849]/[3760] Speed: 117.182120 samples/sec accuracy=31.096491 loss=3.166614 lr=0.092418 Epoch[062] Batch [2899]/[3760] Speed: 116.581663 samples/sec accuracy=31.099677 loss=3.166184 lr=0.092412 Epoch[062] Batch [2949]/[3760] Speed: 117.859308 samples/sec accuracy=31.101165 loss=3.165883 lr=0.092405 Epoch[062] Batch [2999]/[3760] Speed: 117.454213 samples/sec accuracy=31.083854 loss=3.167438 lr=0.092398 Epoch[062] Batch [3049]/[3760] Speed: 117.258253 samples/sec accuracy=31.074795 loss=3.168896 lr=0.092391 Epoch[062] Batch [3099]/[3760] Speed: 117.431358 samples/sec accuracy=31.075101 loss=3.169234 lr=0.092384 Epoch[062] Batch [3149]/[3760] Speed: 117.388844 samples/sec accuracy=31.067460 loss=3.169644 lr=0.092377 Epoch[062] Batch [3199]/[3760] Speed: 117.460720 samples/sec accuracy=31.079102 loss=3.169391 lr=0.092371 Epoch[062] Batch [3249]/[3760] Speed: 116.945315 samples/sec accuracy=31.095192 loss=3.169172 lr=0.092364 Epoch[062] Batch [3299]/[3760] Speed: 117.948715 samples/sec accuracy=31.095170 loss=3.169241 lr=0.092357 Epoch[062] Batch [3349]/[3760] Speed: 117.367612 samples/sec accuracy=31.103078 loss=3.169068 lr=0.092350 Epoch[062] Batch [3399]/[3760] Speed: 118.282202 samples/sec accuracy=31.075368 loss=3.169339 lr=0.092343 Epoch[062] Batch [3449]/[3760] Speed: 116.793071 samples/sec accuracy=31.081975 loss=3.169259 lr=0.092336 Epoch[062] Batch [3499]/[3760] Speed: 117.287209 samples/sec accuracy=31.079464 loss=3.169567 lr=0.092329 Epoch[062] Batch [3549]/[3760] Speed: 117.237077 samples/sec accuracy=31.073944 loss=3.169922 lr=0.092323 Epoch[062] Batch [3599]/[3760] Speed: 117.389756 samples/sec accuracy=31.077691 loss=3.170345 lr=0.092316 Epoch[062] Batch [3649]/[3760] Speed: 117.796630 samples/sec accuracy=31.080479 loss=3.169627 lr=0.092309 Epoch[062] Batch [3699]/[3760] Speed: 117.284451 samples/sec accuracy=31.085304 loss=3.169332 lr=0.092302 Epoch[062] Batch [3749]/[3760] Speed: 120.837751 samples/sec accuracy=31.078333 loss=3.169766 lr=0.092295 Batch [0049]/[0303]: acc-top1=33.437500 acc-top5=58.843750 Batch [0099]/[0303]: acc-top1=31.078125 acc-top5=56.500000 Batch [0149]/[0303]: acc-top1=31.968750 acc-top5=57.583333 Batch [0199]/[0303]: acc-top1=34.578125 acc-top5=60.078125 Batch [0249]/[0303]: acc-top1=33.743750 acc-top5=59.637500 Batch [0299]/[0303]: acc-top1=33.104167 acc-top5=59.494792 [Epoch 062] training: accuracy=31.086686 loss=3.169585 [Epoch 062] speed: 116 samples/sec time cost: 2179.013447 [Epoch 062] validation: acc-top1=33.090965 acc-top5=59.529703 loss=3.125779 Epoch[063] Batch [0049]/[3760] Speed: 86.520339 samples/sec accuracy=31.500000 loss=3.127000 lr=0.092287 Epoch[063] Batch [0099]/[3760] Speed: 118.120958 samples/sec accuracy=31.765625 loss=3.121675 lr=0.092280 Epoch[063] Batch [0149]/[3760] Speed: 117.015314 samples/sec accuracy=31.822917 loss=3.131784 lr=0.092273 Epoch[063] Batch [0199]/[3760] Speed: 116.960522 samples/sec accuracy=31.625000 loss=3.153011 lr=0.092266 Epoch[063] Batch [0249]/[3760] Speed: 117.222893 samples/sec accuracy=31.306250 loss=3.165575 lr=0.092259 Epoch[063] Batch [0299]/[3760] Speed: 117.674630 samples/sec accuracy=31.187500 loss=3.168579 lr=0.092252 Epoch[063] Batch [0349]/[3760] Speed: 117.257743 samples/sec accuracy=31.303571 loss=3.169182 lr=0.092245 Epoch[063] Batch [0399]/[3760] Speed: 117.333283 samples/sec accuracy=31.269531 loss=3.163971 lr=0.092239 Epoch[063] Batch [0449]/[3760] 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accuracy=30.979167 loss=3.164999 lr=0.092169 Epoch[063] Batch [0949]/[3760] Speed: 117.560862 samples/sec accuracy=30.958882 loss=3.165584 lr=0.092162 Epoch[063] Batch [0999]/[3760] Speed: 116.904273 samples/sec accuracy=31.042188 loss=3.165670 lr=0.092156 Epoch[063] Batch [1049]/[3760] Speed: 117.891736 samples/sec accuracy=31.087798 loss=3.162631 lr=0.092149 Epoch[063] Batch [1099]/[3760] Speed: 117.878052 samples/sec accuracy=31.069602 loss=3.164402 lr=0.092142 Epoch[063] Batch [1149]/[3760] Speed: 116.146327 samples/sec accuracy=31.061141 loss=3.165567 lr=0.092135 Epoch[063] Batch [1199]/[3760] Speed: 118.335020 samples/sec accuracy=31.058594 loss=3.168569 lr=0.092128 Epoch[063] Batch [1249]/[3760] Speed: 116.569394 samples/sec accuracy=31.060000 loss=3.167007 lr=0.092121 Epoch[063] Batch [1299]/[3760] Speed: 118.063440 samples/sec accuracy=31.098558 loss=3.165066 lr=0.092114 Epoch[063] Batch [1349]/[3760] Speed: 117.484759 samples/sec accuracy=31.140046 loss=3.162932 lr=0.092107 Epoch[063] Batch [1399]/[3760] Speed: 117.489964 samples/sec accuracy=31.190848 loss=3.161146 lr=0.092100 Epoch[063] Batch [1449]/[3760] Speed: 116.680861 samples/sec accuracy=31.140086 loss=3.162462 lr=0.092093 Epoch[063] Batch [1499]/[3760] Speed: 117.687108 samples/sec accuracy=31.097917 loss=3.162006 lr=0.092086 Epoch[063] Batch [1549]/[3760] Speed: 117.707420 samples/sec accuracy=31.117944 loss=3.162073 lr=0.092079 Epoch[063] Batch [1599]/[3760] Speed: 117.393695 samples/sec accuracy=31.101562 loss=3.162710 lr=0.092072 Epoch[063] Batch [1649]/[3760] Speed: 117.361563 samples/sec accuracy=31.085227 loss=3.163725 lr=0.092065 Epoch[063] Batch [1699]/[3760] Speed: 116.930489 samples/sec accuracy=31.042279 loss=3.166119 lr=0.092058 Epoch[063] Batch [1749]/[3760] Speed: 117.295360 samples/sec accuracy=31.040179 loss=3.166733 lr=0.092051 Epoch[063] Batch [1799]/[3760] Speed: 117.204275 samples/sec accuracy=31.053819 loss=3.165607 lr=0.092044 Epoch[063] Batch [1849]/[3760] Speed: 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loss=3.168405 lr=0.091974 Epoch[063] Batch [2349]/[3760] Speed: 117.574930 samples/sec accuracy=31.063830 loss=3.168152 lr=0.091967 Epoch[063] Batch [2399]/[3760] Speed: 117.841242 samples/sec accuracy=31.067057 loss=3.168003 lr=0.091960 Epoch[063] Batch [2449]/[3760] Speed: 117.336373 samples/sec accuracy=31.042092 loss=3.167835 lr=0.091953 Epoch[063] Batch [2499]/[3760] Speed: 117.183718 samples/sec accuracy=31.028750 loss=3.168317 lr=0.091946 Epoch[063] Batch [2549]/[3760] Speed: 117.606711 samples/sec accuracy=31.010417 loss=3.169887 lr=0.091939 Epoch[063] Batch [2599]/[3760] Speed: 117.567145 samples/sec accuracy=31.003005 loss=3.169625 lr=0.091932 Epoch[063] Batch [2649]/[3760] Speed: 117.081650 samples/sec accuracy=30.995283 loss=3.170052 lr=0.091925 Epoch[063] Batch [2699]/[3760] Speed: 117.202419 samples/sec accuracy=30.968750 loss=3.170123 lr=0.091918 Epoch[063] Batch [2749]/[3760] Speed: 117.475021 samples/sec accuracy=30.961932 loss=3.170986 lr=0.091911 Epoch[063] Batch [2799]/[3760] Speed: 117.479141 samples/sec accuracy=30.993862 loss=3.171145 lr=0.091904 Epoch[063] Batch [2849]/[3760] Speed: 117.458544 samples/sec accuracy=31.000000 loss=3.170548 lr=0.091897 Epoch[063] Batch [2899]/[3760] Speed: 116.612383 samples/sec accuracy=30.981681 loss=3.171338 lr=0.091890 Epoch[063] Batch [2949]/[3760] Speed: 118.167455 samples/sec accuracy=30.989407 loss=3.171241 lr=0.091883 Epoch[063] Batch [2999]/[3760] Speed: 116.872193 samples/sec accuracy=30.978646 loss=3.171863 lr=0.091876 Epoch[063] Batch [3049]/[3760] Speed: 117.453716 samples/sec accuracy=30.995389 loss=3.171142 lr=0.091869 Epoch[063] Batch [3099]/[3760] Speed: 116.587635 samples/sec accuracy=30.980343 loss=3.170784 lr=0.091862 Epoch[063] Batch [3149]/[3760] Speed: 116.914651 samples/sec accuracy=30.975694 loss=3.171000 lr=0.091855 Epoch[063] Batch [3199]/[3760] Speed: 118.149367 samples/sec accuracy=30.991699 loss=3.169988 lr=0.091848 Epoch[063] Batch [3249]/[3760] Speed: 117.212205 samples/sec accuracy=30.976923 loss=3.170777 lr=0.091841 Epoch[063] Batch [3299]/[3760] Speed: 117.627522 samples/sec accuracy=30.978693 loss=3.171271 lr=0.091834 Epoch[063] Batch [3349]/[3760] Speed: 117.424711 samples/sec accuracy=30.969683 loss=3.171431 lr=0.091826 Epoch[063] Batch [3399]/[3760] Speed: 117.192333 samples/sec accuracy=30.966452 loss=3.171997 lr=0.091819 Epoch[063] Batch [3449]/[3760] Speed: 117.703501 samples/sec accuracy=30.977808 loss=3.171701 lr=0.091812 Epoch[063] Batch [3499]/[3760] Speed: 117.613039 samples/sec accuracy=30.969196 loss=3.172028 lr=0.091805 Epoch[063] Batch [3549]/[3760] Speed: 117.165163 samples/sec accuracy=30.995158 loss=3.171924 lr=0.091798 Epoch[063] Batch [3599]/[3760] Speed: 118.227917 samples/sec accuracy=30.996528 loss=3.172698 lr=0.091791 Epoch[063] Batch [3649]/[3760] Speed: 117.417137 samples/sec accuracy=31.005137 loss=3.172241 lr=0.091784 Epoch[063] Batch [3699]/[3760] Speed: 117.304963 samples/sec accuracy=31.005490 loss=3.172662 lr=0.091777 Epoch[063] Batch [3749]/[3760] Speed: 119.961272 samples/sec accuracy=31.009167 loss=3.172341 lr=0.091770 Batch [0049]/[0303]: acc-top1=31.843750 acc-top5=56.843750 Batch [0099]/[0303]: acc-top1=29.140625 acc-top5=54.984375 Batch [0149]/[0303]: acc-top1=30.447917 acc-top5=55.791667 Batch [0199]/[0303]: acc-top1=33.500000 acc-top5=58.570312 Batch [0249]/[0303]: acc-top1=32.187500 acc-top5=58.031250 Batch [0299]/[0303]: acc-top1=30.854167 acc-top5=57.296875 [Epoch 063] training: accuracy=31.008145 loss=3.172211 [Epoch 063] speed: 116 samples/sec time cost: 2179.407454 [Epoch 063] validation: acc-top1=30.801361 acc-top5=57.245256 loss=3.334008 Epoch[064] Batch [0049]/[3759] Speed: 87.635865 samples/sec accuracy=32.437500 loss=3.117713 lr=0.091761 Epoch[064] Batch [0099]/[3759] Speed: 117.727398 samples/sec accuracy=32.406250 loss=3.111479 lr=0.091754 Epoch[064] Batch [0149]/[3759] Speed: 117.229624 samples/sec accuracy=31.833333 loss=3.149492 lr=0.091747 Epoch[064] Batch [0199]/[3759] Speed: 116.555544 samples/sec accuracy=31.796875 loss=3.151365 lr=0.091740 Epoch[064] Batch [0249]/[3759] Speed: 117.463302 samples/sec accuracy=31.975000 loss=3.130682 lr=0.091733 Epoch[064] Batch [0299]/[3759] Speed: 117.195510 samples/sec accuracy=31.895833 loss=3.137338 lr=0.091726 Epoch[064] Batch [0349]/[3759] Speed: 117.104247 samples/sec accuracy=32.004464 loss=3.136636 lr=0.091719 Epoch[064] Batch [0399]/[3759] Speed: 117.763102 samples/sec accuracy=31.781250 loss=3.145338 lr=0.091712 Epoch[064] Batch [0449]/[3759] Speed: 116.820172 samples/sec accuracy=31.833333 loss=3.146091 lr=0.091704 Epoch[064] Batch [0499]/[3759] Speed: 116.049774 samples/sec accuracy=31.696875 loss=3.152817 lr=0.091697 Epoch[064] Batch [0549]/[3759] Speed: 117.411421 samples/sec accuracy=31.616477 loss=3.149517 lr=0.091690 Epoch[064] Batch [0599]/[3759] Speed: 117.812246 samples/sec accuracy=31.570312 loss=3.150565 lr=0.091683 Epoch[064] Batch [0649]/[3759] Speed: 117.646742 samples/sec accuracy=31.490385 loss=3.152119 lr=0.091676 Epoch[064] Batch [0699]/[3759] Speed: 117.592781 samples/sec accuracy=31.421875 loss=3.152066 lr=0.091669 Epoch[064] Batch [0749]/[3759] Speed: 117.558913 samples/sec accuracy=31.454167 loss=3.153935 lr=0.091662 Epoch[064] Batch [0799]/[3759] Speed: 117.128808 samples/sec accuracy=31.300781 loss=3.156636 lr=0.091655 Epoch[064] Batch [0849]/[3759] Speed: 116.789596 samples/sec accuracy=31.319853 loss=3.153610 lr=0.091647 Epoch[064] Batch [0899]/[3759] Speed: 116.821471 samples/sec accuracy=31.402778 loss=3.150496 lr=0.091640 Epoch[064] Batch [0949]/[3759] Speed: 117.790891 samples/sec accuracy=31.416118 loss=3.149676 lr=0.091633 Epoch[064] Batch [0999]/[3759] Speed: 117.318870 samples/sec accuracy=31.410938 loss=3.148988 lr=0.091626 Epoch[064] Batch [1049]/[3759] Speed: 118.139124 samples/sec accuracy=31.377976 loss=3.150365 lr=0.091619 Epoch[064] Batch [1099]/[3759] Speed: 114.569095 samples/sec accuracy=31.329545 loss=3.151317 lr=0.091612 Epoch[064] Batch [1149]/[3759] Speed: 117.400212 samples/sec accuracy=31.309783 loss=3.151096 lr=0.091605 Epoch[064] Batch [1199]/[3759] Speed: 116.569673 samples/sec accuracy=31.328125 loss=3.152650 lr=0.091597 Epoch[064] Batch [1249]/[3759] Speed: 117.944597 samples/sec accuracy=31.348750 loss=3.151874 lr=0.091590 Epoch[064] Batch [1299]/[3759] Speed: 117.235683 samples/sec accuracy=31.308894 loss=3.151825 lr=0.091583 Epoch[064] Batch [1349]/[3759] Speed: 117.176188 samples/sec accuracy=31.288194 loss=3.151631 lr=0.091576 Epoch[064] Batch [1399]/[3759] Speed: 117.255291 samples/sec accuracy=31.281250 loss=3.151055 lr=0.091569 Epoch[064] Batch [1449]/[3759] Speed: 117.319103 samples/sec accuracy=31.290948 loss=3.151496 lr=0.091562 Epoch[064] Batch [1499]/[3759] Speed: 116.485041 samples/sec accuracy=31.312500 loss=3.151461 lr=0.091554 Epoch[064] Batch [1549]/[3759] Speed: 117.209968 samples/sec accuracy=31.276210 loss=3.152602 lr=0.091547 Epoch[064] Batch [1599]/[3759] Speed: 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loss=3.156009 lr=0.091475 Epoch[064] Batch [2099]/[3759] Speed: 117.743560 samples/sec accuracy=31.295387 loss=3.154643 lr=0.091468 Epoch[064] Batch [2149]/[3759] Speed: 117.451977 samples/sec accuracy=31.263081 loss=3.154436 lr=0.091461 Epoch[064] Batch [2199]/[3759] Speed: 117.388352 samples/sec accuracy=31.250710 loss=3.155640 lr=0.091454 Epoch[064] Batch [2249]/[3759] Speed: 117.507769 samples/sec accuracy=31.235417 loss=3.155490 lr=0.091447 Epoch[064] Batch [2299]/[3759] Speed: 116.666847 samples/sec accuracy=31.243207 loss=3.155547 lr=0.091439 Epoch[064] Batch [2349]/[3759] Speed: 117.911108 samples/sec accuracy=31.232713 loss=3.157157 lr=0.091432 Epoch[064] Batch [2399]/[3759] Speed: 117.934415 samples/sec accuracy=31.235677 loss=3.156987 lr=0.091425 Epoch[064] Batch [2449]/[3759] Speed: 117.753794 samples/sec accuracy=31.247449 loss=3.156877 lr=0.091418 Epoch[064] Batch [2499]/[3759] Speed: 117.813749 samples/sec accuracy=31.236875 loss=3.157517 lr=0.091410 Epoch[064] Batch 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accuracy=31.184375 loss=3.161289 lr=0.091338 Epoch[064] Batch [3049]/[3759] Speed: 117.293951 samples/sec accuracy=31.195184 loss=3.161049 lr=0.091331 Epoch[064] Batch [3099]/[3759] Speed: 117.904465 samples/sec accuracy=31.199597 loss=3.161124 lr=0.091324 Epoch[064] Batch [3149]/[3759] Speed: 117.808036 samples/sec accuracy=31.212798 loss=3.161296 lr=0.091316 Epoch[064] Batch [3199]/[3759] Speed: 116.600335 samples/sec accuracy=31.233887 loss=3.161153 lr=0.091309 Epoch[064] Batch [3249]/[3759] Speed: 117.225335 samples/sec accuracy=31.229808 loss=3.161440 lr=0.091302 Epoch[064] Batch [3299]/[3759] Speed: 117.925710 samples/sec accuracy=31.204545 loss=3.161605 lr=0.091294 Epoch[064] Batch [3349]/[3759] Speed: 117.266451 samples/sec accuracy=31.200560 loss=3.162382 lr=0.091287 Epoch[064] Batch [3399]/[3759] Speed: 117.487044 samples/sec accuracy=31.192555 loss=3.162918 lr=0.091280 Epoch[064] Batch [3449]/[3759] Speed: 116.728062 samples/sec accuracy=31.170290 loss=3.163345 lr=0.091273 Epoch[064] Batch [3499]/[3759] Speed: 116.984787 samples/sec accuracy=31.197321 loss=3.162338 lr=0.091265 Epoch[064] Batch [3549]/[3759] Speed: 117.950629 samples/sec accuracy=31.208627 loss=3.162136 lr=0.091258 Epoch[064] Batch [3599]/[3759] Speed: 117.360194 samples/sec accuracy=31.190104 loss=3.162591 lr=0.091251 Epoch[064] Batch [3649]/[3759] Speed: 117.688408 samples/sec accuracy=31.192209 loss=3.162279 lr=0.091243 Epoch[064] Batch [3699]/[3759] Speed: 117.025315 samples/sec accuracy=31.167652 loss=3.162979 lr=0.091236 Epoch[064] Batch [3749]/[3759] Speed: 119.862142 samples/sec accuracy=31.162500 loss=3.163155 lr=0.091229 Batch [0049]/[0303]: acc-top1=29.843750 acc-top5=54.718750 Batch [0099]/[0303]: acc-top1=27.140625 acc-top5=52.875000 Batch [0149]/[0303]: acc-top1=29.083333 acc-top5=54.458333 Batch [0199]/[0303]: acc-top1=31.992188 acc-top5=57.273438 Batch [0249]/[0303]: acc-top1=30.912500 acc-top5=56.737500 Batch [0299]/[0303]: acc-top1=30.572917 acc-top5=56.723958 [Epoch 064] training: accuracy=31.156474 loss=3.163458 [Epoch 064] speed: 116 samples/sec time cost: 2179.332755 [Epoch 064] validation: acc-top1=30.682756 acc-top5=56.775990 loss=3.338909 Epoch[065] Batch [0049]/[3760] Speed: 88.293470 samples/sec accuracy=31.468750 loss=3.160828 lr=0.091220 Epoch[065] Batch [0099]/[3760] Speed: 117.662023 samples/sec accuracy=31.234375 loss=3.155056 lr=0.091213 Epoch[065] Batch [0149]/[3760] Speed: 117.661051 samples/sec accuracy=31.781250 loss=3.130167 lr=0.091206 Epoch[065] Batch [0199]/[3760] Speed: 117.384316 samples/sec accuracy=31.390625 loss=3.136351 lr=0.091198 Epoch[065] Batch [0249]/[3760] Speed: 117.477135 samples/sec accuracy=31.356250 loss=3.141222 lr=0.091191 Epoch[065] Batch [0299]/[3760] Speed: 116.533527 samples/sec accuracy=31.364583 loss=3.138576 lr=0.091184 Epoch[065] Batch [0349]/[3760] Speed: 116.708131 samples/sec accuracy=31.419643 loss=3.137765 lr=0.091176 Epoch[065] Batch [0399]/[3760] Speed: 116.672454 samples/sec accuracy=31.460938 loss=3.141703 lr=0.091169 Epoch[065] Batch [0449]/[3760] Speed: 117.446976 samples/sec accuracy=31.430556 loss=3.146087 lr=0.091162 Epoch[065] Batch [0499]/[3760] Speed: 117.649443 samples/sec accuracy=31.562500 loss=3.143309 lr=0.091154 Epoch[065] Batch [0549]/[3760] Speed: 117.198737 samples/sec accuracy=31.531250 loss=3.145046 lr=0.091147 Epoch[065] Batch [0599]/[3760] Speed: 118.066087 samples/sec accuracy=31.502604 loss=3.146252 lr=0.091140 Epoch[065] Batch [0649]/[3760] Speed: 117.439077 samples/sec accuracy=31.454327 loss=3.142879 lr=0.091132 Epoch[065] Batch [0699]/[3760] Speed: 117.634200 samples/sec accuracy=31.479911 loss=3.140064 lr=0.091125 Epoch[065] Batch [0749]/[3760] Speed: 116.928628 samples/sec accuracy=31.433333 loss=3.142661 lr=0.091118 Epoch[065] Batch [0799]/[3760] Speed: 117.933661 samples/sec accuracy=31.431641 loss=3.140584 lr=0.091110 Epoch[065] Batch [0849]/[3760] Speed: 117.164059 samples/sec accuracy=31.373162 loss=3.142894 lr=0.091103 Epoch[065] Batch [0899]/[3760] Speed: 117.008097 samples/sec accuracy=31.277778 loss=3.143794 lr=0.091096 Epoch[065] Batch [0949]/[3760] Speed: 118.034323 samples/sec accuracy=31.271382 loss=3.143811 lr=0.091088 Epoch[065] Batch [0999]/[3760] Speed: 117.830413 samples/sec accuracy=31.309375 loss=3.144837 lr=0.091081 Epoch[065] Batch [1049]/[3760] Speed: 117.360079 samples/sec accuracy=31.319940 loss=3.147752 lr=0.091074 Epoch[065] Batch [1099]/[3760] Speed: 117.367437 samples/sec accuracy=31.284091 loss=3.150669 lr=0.091066 Epoch[065] Batch [1149]/[3760] Speed: 117.192786 samples/sec accuracy=31.255435 loss=3.151128 lr=0.091059 Epoch[065] Batch [1199]/[3760] Speed: 117.567784 samples/sec accuracy=31.289062 loss=3.150381 lr=0.091052 Epoch[065] Batch [1249]/[3760] Speed: 117.592055 samples/sec accuracy=31.258750 loss=3.152718 lr=0.091044 Epoch[065] Batch [1299]/[3760] Speed: 117.388932 samples/sec accuracy=31.247596 loss=3.153548 lr=0.091037 Epoch[065] Batch [1349]/[3760] Speed: 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loss=3.157062 lr=0.090963 Epoch[065] Batch [1849]/[3760] Speed: 118.107020 samples/sec accuracy=31.286318 loss=3.157114 lr=0.090956 Epoch[065] Batch [1899]/[3760] Speed: 116.542158 samples/sec accuracy=31.274671 loss=3.156926 lr=0.090948 Epoch[065] Batch [1949]/[3760] Speed: 117.580552 samples/sec accuracy=31.286859 loss=3.156495 lr=0.090941 Epoch[065] Batch [1999]/[3760] Speed: 117.811977 samples/sec accuracy=31.310156 loss=3.155416 lr=0.090934 Epoch[065] Batch [2049]/[3760] Speed: 118.253750 samples/sec accuracy=31.340701 loss=3.153014 lr=0.090926 Epoch[065] Batch [2099]/[3760] Speed: 117.361904 samples/sec accuracy=31.331101 loss=3.152715 lr=0.090919 Epoch[065] Batch [2149]/[3760] Speed: 116.775200 samples/sec accuracy=31.314680 loss=3.153306 lr=0.090911 Epoch[065] Batch [2199]/[3760] Speed: 117.482846 samples/sec accuracy=31.307528 loss=3.153400 lr=0.090904 Epoch[065] Batch [2249]/[3760] Speed: 117.184561 samples/sec accuracy=31.313889 loss=3.152262 lr=0.090896 Epoch[065] Batch 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accuracy=31.337500 loss=3.151932 lr=0.090822 Epoch[065] Batch [2799]/[3760] Speed: 117.000994 samples/sec accuracy=31.342634 loss=3.152504 lr=0.090815 Epoch[065] Batch [2849]/[3760] Speed: 116.768956 samples/sec accuracy=31.317982 loss=3.154079 lr=0.090807 Epoch[065] Batch [2899]/[3760] Speed: 117.291774 samples/sec accuracy=31.306034 loss=3.154556 lr=0.090800 Epoch[065] Batch [2949]/[3760] Speed: 118.020016 samples/sec accuracy=31.299788 loss=3.155075 lr=0.090792 Epoch[065] Batch [2999]/[3760] Speed: 117.827842 samples/sec accuracy=31.302083 loss=3.154925 lr=0.090785 Epoch[065] Batch [3049]/[3760] Speed: 117.515522 samples/sec accuracy=31.294570 loss=3.155123 lr=0.090777 Epoch[065] Batch [3099]/[3760] Speed: 117.065799 samples/sec accuracy=31.318548 loss=3.155263 lr=0.090770 Epoch[065] Batch [3149]/[3760] Speed: 116.261838 samples/sec accuracy=31.334821 loss=3.154426 lr=0.090762 Epoch[065] Batch [3199]/[3760] Speed: 117.670667 samples/sec accuracy=31.335449 loss=3.155209 lr=0.090755 Epoch[065] Batch [3249]/[3760] Speed: 116.172620 samples/sec accuracy=31.333654 loss=3.155573 lr=0.090748 Epoch[065] Batch [3299]/[3760] Speed: 117.214417 samples/sec accuracy=31.341383 loss=3.155135 lr=0.090740 Epoch[065] Batch [3349]/[3760] Speed: 116.631859 samples/sec accuracy=31.354478 loss=3.154623 lr=0.090733 Epoch[065] Batch [3399]/[3760] Speed: 117.161116 samples/sec accuracy=31.354779 loss=3.154790 lr=0.090725 Epoch[065] Batch [3449]/[3760] Speed: 117.543782 samples/sec accuracy=31.340127 loss=3.154782 lr=0.090718 Epoch[065] Batch [3499]/[3760] Speed: 117.834391 samples/sec accuracy=31.328571 loss=3.155100 lr=0.090710 Epoch[065] Batch [3549]/[3760] Speed: 117.258667 samples/sec accuracy=31.332746 loss=3.155413 lr=0.090703 Epoch[065] Batch [3599]/[3760] Speed: 117.529873 samples/sec accuracy=31.317708 loss=3.156228 lr=0.090695 Epoch[065] Batch [3649]/[3760] Speed: 117.242718 samples/sec accuracy=31.304795 loss=3.156442 lr=0.090688 Epoch[065] Batch [3699]/[3760] Speed: 117.256688 samples/sec accuracy=31.308277 loss=3.156227 lr=0.090680 Epoch[065] Batch [3749]/[3760] Speed: 120.201415 samples/sec accuracy=31.300417 loss=3.156724 lr=0.090673 Batch [0049]/[0303]: acc-top1=33.718750 acc-top5=58.312500 Batch [0099]/[0303]: acc-top1=30.515625 acc-top5=56.265625 Batch [0149]/[0303]: acc-top1=31.833333 acc-top5=57.729167 Batch [0199]/[0303]: acc-top1=34.554688 acc-top5=59.953125 Batch [0249]/[0303]: acc-top1=33.925000 acc-top5=59.768750 Batch [0299]/[0303]: acc-top1=33.505208 acc-top5=59.515625 [Epoch 065] training: accuracy=31.299036 loss=3.156735 [Epoch 065] speed: 116 samples/sec time cost: 2180.076907 [Epoch 065] validation: acc-top1=33.426155 acc-top5=59.467822 loss=3.144279 Epoch[066] Batch [0049]/[3759] Speed: 86.531457 samples/sec accuracy=31.281250 loss=3.127585 lr=0.090664 Epoch[066] Batch [0099]/[3759] Speed: 116.902923 samples/sec accuracy=31.171875 loss=3.157555 lr=0.090656 Epoch[066] Batch [0149]/[3759] Speed: 117.903709 samples/sec accuracy=31.562500 loss=3.140514 lr=0.090649 Epoch[066] Batch [0199]/[3759] Speed: 117.647749 samples/sec accuracy=31.492188 loss=3.143474 lr=0.090641 Epoch[066] Batch [0249]/[3759] Speed: 116.216409 samples/sec accuracy=31.493750 loss=3.142791 lr=0.090634 Epoch[066] Batch [0299]/[3759] Speed: 117.696177 samples/sec accuracy=31.567708 loss=3.139933 lr=0.090626 Epoch[066] Batch [0349]/[3759] Speed: 117.800669 samples/sec accuracy=31.816964 loss=3.130070 lr=0.090619 Epoch[066] Batch [0399]/[3759] Speed: 117.812874 samples/sec accuracy=31.773438 loss=3.135990 lr=0.090611 Epoch[066] Batch [0449]/[3759] Speed: 118.230180 samples/sec accuracy=31.729167 loss=3.136786 lr=0.090603 Epoch[066] Batch [0499]/[3759] Speed: 117.522111 samples/sec accuracy=31.668750 loss=3.136423 lr=0.090596 Epoch[066] Batch [0549]/[3759] Speed: 117.437026 samples/sec accuracy=31.792614 loss=3.130117 lr=0.090588 Epoch[066] Batch [0599]/[3759] Speed: 117.768837 samples/sec accuracy=31.570312 loss=3.138579 lr=0.090581 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Epoch[066] Batch [2999]/[3759] Speed: 117.844357 samples/sec accuracy=31.360417 loss=3.147955 lr=0.090216 Epoch[066] Batch [3049]/[3759] Speed: 118.107879 samples/sec accuracy=31.351434 loss=3.147729 lr=0.090208 Epoch[066] Batch [3099]/[3759] Speed: 117.340236 samples/sec accuracy=31.356351 loss=3.147720 lr=0.090201 Epoch[066] Batch [3149]/[3759] Speed: 117.289995 samples/sec accuracy=31.343750 loss=3.148573 lr=0.090193 Epoch[066] Batch [3199]/[3759] Speed: 116.687826 samples/sec accuracy=31.349121 loss=3.147981 lr=0.090185 Epoch[066] Batch [3249]/[3759] Speed: 117.303031 samples/sec accuracy=31.346154 loss=3.147878 lr=0.090178 Epoch[066] Batch [3299]/[3759] Speed: 116.323878 samples/sec accuracy=31.368845 loss=3.147100 lr=0.090170 Epoch[066] Batch [3349]/[3759] Speed: 117.070016 samples/sec accuracy=31.341884 loss=3.148481 lr=0.090162 Epoch[066] Batch [3399]/[3759] Speed: 117.285222 samples/sec accuracy=31.332721 loss=3.149076 lr=0.090155 Epoch[066] Batch [3449]/[3759] Speed: 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Batch [0299]/[0303]: acc-top1=30.593750 acc-top5=57.697917 [Epoch 066] training: accuracy=31.304868 loss=3.149529 [Epoch 066] speed: 116 samples/sec time cost: 2177.704697 [Epoch 066] validation: acc-top1=30.543523 acc-top5=57.621700 loss=3.456051 Epoch[067] Batch [0049]/[3760] Speed: 86.166407 samples/sec accuracy=31.531250 loss=3.151569 lr=0.090092 Epoch[067] Batch [0099]/[3760] Speed: 117.857539 samples/sec accuracy=31.531250 loss=3.133765 lr=0.090084 Epoch[067] Batch [0149]/[3760] Speed: 116.715715 samples/sec accuracy=31.958333 loss=3.140656 lr=0.090076 Epoch[067] Batch [0199]/[3760] Speed: 117.385494 samples/sec accuracy=31.726562 loss=3.151991 lr=0.090069 Epoch[067] Batch [0249]/[3760] Speed: 116.669205 samples/sec accuracy=31.850000 loss=3.143692 lr=0.090061 Epoch[067] Batch [0299]/[3760] Speed: 117.567885 samples/sec accuracy=31.442708 loss=3.150380 lr=0.090053 Epoch[067] Batch [0349]/[3760] Speed: 117.077421 samples/sec accuracy=31.714286 loss=3.143321 lr=0.090046 Epoch[067] 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lr=0.089898 Epoch[067] Batch [1349]/[3760] Speed: 117.263033 samples/sec accuracy=31.704861 loss=3.141679 lr=0.089891 Epoch[067] Batch [1399]/[3760] Speed: 116.978784 samples/sec accuracy=31.657366 loss=3.144882 lr=0.089883 Epoch[067] Batch [1449]/[3760] Speed: 117.855024 samples/sec accuracy=31.651940 loss=3.145450 lr=0.089875 Epoch[067] Batch [1499]/[3760] Speed: 117.639287 samples/sec accuracy=31.634375 loss=3.145049 lr=0.089867 Epoch[067] Batch [1549]/[3760] Speed: 117.211654 samples/sec accuracy=31.632056 loss=3.144485 lr=0.089859 Epoch[067] Batch [1599]/[3760] Speed: 117.459610 samples/sec accuracy=31.664062 loss=3.143748 lr=0.089852 Epoch[067] Batch [1649]/[3760] Speed: 117.608782 samples/sec accuracy=31.607955 loss=3.146071 lr=0.089844 Epoch[067] Batch [1699]/[3760] Speed: 117.434845 samples/sec accuracy=31.573529 loss=3.146117 lr=0.089836 Epoch[067] Batch [1749]/[3760] Speed: 116.505313 samples/sec accuracy=31.582143 loss=3.144202 lr=0.089828 Epoch[067] Batch [1799]/[3760] 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accuracy=31.575694 loss=3.141066 lr=0.089750 Epoch[067] Batch [2299]/[3760] Speed: 117.609994 samples/sec accuracy=31.584239 loss=3.140498 lr=0.089742 Epoch[067] Batch [2349]/[3760] Speed: 116.938057 samples/sec accuracy=31.568484 loss=3.141124 lr=0.089734 Epoch[067] Batch [2399]/[3760] Speed: 117.099604 samples/sec accuracy=31.567057 loss=3.141341 lr=0.089727 Epoch[067] Batch [2449]/[3760] Speed: 117.472003 samples/sec accuracy=31.552934 loss=3.141894 lr=0.089719 Epoch[067] Batch [2499]/[3760] Speed: 118.139723 samples/sec accuracy=31.527500 loss=3.143652 lr=0.089711 Epoch[067] Batch [2549]/[3760] Speed: 117.542095 samples/sec accuracy=31.547181 loss=3.143338 lr=0.089703 Epoch[067] Batch [2599]/[3760] Speed: 116.912523 samples/sec accuracy=31.532452 loss=3.143756 lr=0.089695 Epoch[067] Batch [2649]/[3760] Speed: 116.592272 samples/sec accuracy=31.525354 loss=3.143858 lr=0.089687 Epoch[067] Batch [2699]/[3760] Speed: 117.219959 samples/sec accuracy=31.519676 loss=3.144200 lr=0.089680 Epoch[067] Batch [2749]/[3760] Speed: 116.827297 samples/sec accuracy=31.535795 loss=3.143660 lr=0.089672 Epoch[067] Batch [2799]/[3760] Speed: 117.969764 samples/sec accuracy=31.516741 loss=3.143938 lr=0.089664 Epoch[067] Batch [2849]/[3760] Speed: 117.286326 samples/sec accuracy=31.509320 loss=3.144794 lr=0.089656 Epoch[067] Batch [2899]/[3760] Speed: 116.690017 samples/sec accuracy=31.500000 loss=3.145118 lr=0.089648 Epoch[067] Batch [2949]/[3760] Speed: 116.693984 samples/sec accuracy=31.474576 loss=3.146197 lr=0.089640 Epoch[067] Batch [2999]/[3760] Speed: 117.193814 samples/sec accuracy=31.469792 loss=3.146618 lr=0.089632 Epoch[067] Batch [3049]/[3760] Speed: 116.705184 samples/sec accuracy=31.473361 loss=3.146466 lr=0.089625 Epoch[067] Batch [3099]/[3760] Speed: 117.896491 samples/sec accuracy=31.452117 loss=3.147168 lr=0.089617 Epoch[067] Batch [3149]/[3760] Speed: 117.407747 samples/sec accuracy=31.430556 loss=3.147409 lr=0.089609 Epoch[067] Batch [3199]/[3760] Speed: 117.907397 samples/sec accuracy=31.420410 loss=3.147766 lr=0.089601 Epoch[067] Batch [3249]/[3760] Speed: 117.720383 samples/sec accuracy=31.411058 loss=3.147578 lr=0.089593 Epoch[067] Batch [3299]/[3760] Speed: 117.092623 samples/sec accuracy=31.406723 loss=3.147950 lr=0.089585 Epoch[067] Batch [3349]/[3760] Speed: 117.594903 samples/sec accuracy=31.391325 loss=3.148814 lr=0.089577 Epoch[067] Batch [3399]/[3760] Speed: 117.883636 samples/sec accuracy=31.404412 loss=3.148294 lr=0.089569 Epoch[067] Batch [3449]/[3760] Speed: 117.736334 samples/sec accuracy=31.400815 loss=3.148089 lr=0.089562 Epoch[067] Batch [3499]/[3760] Speed: 117.946275 samples/sec accuracy=31.408036 loss=3.148165 lr=0.089554 Epoch[067] Batch [3549]/[3760] Speed: 117.335548 samples/sec accuracy=31.399648 loss=3.148830 lr=0.089546 Epoch[067] Batch [3599]/[3760] Speed: 117.638242 samples/sec accuracy=31.409722 loss=3.149331 lr=0.089538 Epoch[067] Batch [3649]/[3760] Speed: 117.775417 samples/sec accuracy=31.398116 loss=3.149415 lr=0.089530 Epoch[067] Batch [3699]/[3760] Speed: 117.003468 samples/sec accuracy=31.387247 loss=3.149865 lr=0.089522 Epoch[067] Batch [3749]/[3760] Speed: 120.923638 samples/sec accuracy=31.389167 loss=3.149965 lr=0.089514 Batch [0049]/[0303]: acc-top1=31.593750 acc-top5=56.468750 Batch [0099]/[0303]: acc-top1=27.984375 acc-top5=53.375000 Batch [0149]/[0303]: acc-top1=29.031250 acc-top5=54.572917 Batch [0199]/[0303]: acc-top1=32.335938 acc-top5=57.953125 Batch [0249]/[0303]: acc-top1=31.518750 acc-top5=57.818750 Batch [0299]/[0303]: acc-top1=31.093750 acc-top5=57.760417 [Epoch 067] training: accuracy=31.394614 loss=3.149568 [Epoch 067] speed: 116 samples/sec time cost: 2180.257988 [Epoch 067] validation: acc-top1=31.048886 acc-top5=57.657797 loss=3.259352 Epoch[068] Batch [0049]/[3760] Speed: 88.178913 samples/sec accuracy=32.218750 loss=3.089386 lr=0.089505 Epoch[068] Batch [0099]/[3760] Speed: 117.539255 samples/sec accuracy=32.406250 loss=3.100994 lr=0.089497 Epoch[068] Batch [0149]/[3760] Speed: 117.360164 samples/sec accuracy=32.187500 loss=3.104518 lr=0.089489 Epoch[068] Batch [0199]/[3760] Speed: 117.230259 samples/sec accuracy=32.265625 loss=3.102957 lr=0.089481 Epoch[068] Batch [0249]/[3760] Speed: 116.780403 samples/sec accuracy=32.106250 loss=3.107344 lr=0.089473 Epoch[068] Batch [0299]/[3760] Speed: 117.291237 samples/sec accuracy=32.062500 loss=3.114713 lr=0.089465 Epoch[068] Batch [0349]/[3760] Speed: 116.994615 samples/sec accuracy=32.178571 loss=3.111254 lr=0.089457 Epoch[068] Batch [0399]/[3760] Speed: 117.097502 samples/sec accuracy=32.195312 loss=3.114860 lr=0.089449 Epoch[068] Batch [0449]/[3760] Speed: 117.007353 samples/sec accuracy=32.065972 loss=3.121331 lr=0.089441 Epoch[068] Batch [0499]/[3760] Speed: 116.597924 samples/sec accuracy=31.956250 loss=3.123435 lr=0.089433 Epoch[068] Batch [0549]/[3760] Speed: 117.276702 samples/sec accuracy=31.846591 loss=3.128874 lr=0.089426 Epoch[068] Batch [0599]/[3760] Speed: 117.308059 samples/sec accuracy=31.825521 loss=3.130601 lr=0.089418 Epoch[068] Batch [0649]/[3760] Speed: 116.813917 samples/sec accuracy=31.826923 loss=3.125862 lr=0.089410 Epoch[068] Batch [0699]/[3760] Speed: 117.600492 samples/sec accuracy=31.725446 loss=3.130281 lr=0.089402 Epoch[068] Batch [0749]/[3760] Speed: 117.797157 samples/sec accuracy=31.702083 loss=3.132976 lr=0.089394 Epoch[068] Batch [0799]/[3760] Speed: 115.884645 samples/sec accuracy=31.687500 loss=3.131943 lr=0.089386 Epoch[068] Batch [0849]/[3760] Speed: 117.019228 samples/sec accuracy=31.669118 loss=3.132180 lr=0.089378 Epoch[068] Batch [0899]/[3760] Speed: 117.556332 samples/sec accuracy=31.736111 loss=3.128762 lr=0.089370 Epoch[068] Batch [0949]/[3760] Speed: 116.673538 samples/sec accuracy=31.735197 loss=3.129475 lr=0.089362 Epoch[068] Batch [0999]/[3760] Speed: 117.395485 samples/sec accuracy=31.745313 loss=3.128057 lr=0.089354 Epoch[068] Batch [1049]/[3760] Speed: 117.436540 samples/sec accuracy=31.751488 loss=3.126730 lr=0.089346 Epoch[068] Batch [1099]/[3760] Speed: 116.835995 samples/sec accuracy=31.775568 loss=3.124262 lr=0.089338 Epoch[068] Batch [1149]/[3760] Speed: 117.618693 samples/sec accuracy=31.792120 loss=3.123925 lr=0.089330 Epoch[068] Batch [1199]/[3760] Speed: 116.791810 samples/sec accuracy=31.717448 loss=3.124906 lr=0.089322 Epoch[068] Batch [1249]/[3760] Speed: 117.588842 samples/sec accuracy=31.690000 loss=3.126413 lr=0.089314 Epoch[068] Batch [1299]/[3760] Speed: 118.682159 samples/sec accuracy=31.750000 loss=3.124634 lr=0.089306 Epoch[068] Batch [1349]/[3760] Speed: 117.766597 samples/sec accuracy=31.765046 loss=3.124316 lr=0.089298 Epoch[068] Batch [1399]/[3760] Speed: 116.823996 samples/sec accuracy=31.733259 loss=3.126217 lr=0.089290 Epoch[068] Batch [1449]/[3760] Speed: 117.004236 samples/sec accuracy=31.715517 loss=3.126350 lr=0.089282 Epoch[068] Batch [1499]/[3760] Speed: 117.639166 samples/sec accuracy=31.687500 loss=3.127422 lr=0.089274 Epoch[068] Batch 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accuracy=31.673438 loss=3.132237 lr=0.089194 Epoch[068] Batch [2049]/[3760] Speed: 116.806877 samples/sec accuracy=31.636433 loss=3.134865 lr=0.089186 Epoch[068] Batch [2099]/[3760] Speed: 117.317962 samples/sec accuracy=31.633185 loss=3.135196 lr=0.089178 Epoch[068] Batch [2149]/[3760] Speed: 116.230631 samples/sec accuracy=31.611919 loss=3.135612 lr=0.089170 Epoch[068] Batch [2199]/[3760] Speed: 117.262481 samples/sec accuracy=31.617188 loss=3.134709 lr=0.089162 Epoch[068] Batch [2249]/[3760] Speed: 117.225558 samples/sec accuracy=31.593056 loss=3.137222 lr=0.089154 Epoch[068] Batch [2299]/[3760] Speed: 118.096179 samples/sec accuracy=31.580842 loss=3.138253 lr=0.089146 Epoch[068] Batch [2349]/[3760] Speed: 116.832168 samples/sec accuracy=31.593085 loss=3.138655 lr=0.089138 Epoch[068] Batch [2399]/[3760] Speed: 117.584194 samples/sec accuracy=31.569661 loss=3.139234 lr=0.089130 Epoch[068] Batch [2449]/[3760] Speed: 117.283867 samples/sec accuracy=31.548469 loss=3.139776 lr=0.089122 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loss=3.147070 lr=0.088969 Epoch[068] Batch [3449]/[3760] Speed: 117.103660 samples/sec accuracy=31.392663 loss=3.147329 lr=0.088961 Epoch[068] Batch [3499]/[3760] Speed: 117.265527 samples/sec accuracy=31.370982 loss=3.147855 lr=0.088953 Epoch[068] Batch [3549]/[3760] Speed: 117.996114 samples/sec accuracy=31.379401 loss=3.147915 lr=0.088945 Epoch[068] Batch [3599]/[3760] Speed: 116.674985 samples/sec accuracy=31.382378 loss=3.148102 lr=0.088937 Epoch[068] Batch [3649]/[3760] Speed: 117.026634 samples/sec accuracy=31.390839 loss=3.147910 lr=0.088929 Epoch[068] Batch [3699]/[3760] Speed: 117.703368 samples/sec accuracy=31.417230 loss=3.146378 lr=0.088921 Epoch[068] Batch [3749]/[3760] Speed: 120.242374 samples/sec accuracy=31.420417 loss=3.146480 lr=0.088913 Batch [0049]/[0303]: acc-top1=32.125000 acc-top5=58.156250 Batch [0099]/[0303]: acc-top1=29.921875 acc-top5=55.906250 Batch [0149]/[0303]: acc-top1=31.250000 acc-top5=56.979167 Batch [0199]/[0303]: acc-top1=33.921875 acc-top5=59.312500 Batch [0249]/[0303]: acc-top1=33.250000 acc-top5=59.231250 Batch [0299]/[0303]: acc-top1=32.588542 acc-top5=59.708333 [Epoch 068] training: accuracy=31.424535 loss=3.146289 [Epoch 068] speed: 116 samples/sec time cost: 2180.664332 [Epoch 068] validation: acc-top1=32.668111 acc-top5=59.808168 loss=3.179518 Epoch[069] Batch [0049]/[3759] Speed: 87.862430 samples/sec accuracy=30.406250 loss=3.162589 lr=0.088903 Epoch[069] Batch [0099]/[3759] Speed: 117.495867 samples/sec accuracy=31.062500 loss=3.138244 lr=0.088895 Epoch[069] Batch [0149]/[3759] Speed: 116.653600 samples/sec accuracy=31.489583 loss=3.125867 lr=0.088887 Epoch[069] Batch [0199]/[3759] Speed: 116.841107 samples/sec accuracy=31.492188 loss=3.130766 lr=0.088879 Epoch[069] Batch [0249]/[3759] Speed: 117.671082 samples/sec accuracy=31.687500 loss=3.126210 lr=0.088870 Epoch[069] Batch [0299]/[3759] Speed: 116.922443 samples/sec accuracy=31.713542 loss=3.121954 lr=0.088862 Epoch[069] Batch [0349]/[3759] Speed: 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accuracy=31.729464 loss=3.128888 lr=0.088626 Epoch[069] Batch [1799]/[3759] Speed: 116.708321 samples/sec accuracy=31.723958 loss=3.129526 lr=0.088618 Epoch[069] Batch [1849]/[3759] Speed: 117.541265 samples/sec accuracy=31.722973 loss=3.129538 lr=0.088609 Epoch[069] Batch [1899]/[3759] Speed: 116.322079 samples/sec accuracy=31.711349 loss=3.129428 lr=0.088601 Epoch[069] Batch [1949]/[3759] Speed: 117.380777 samples/sec accuracy=31.714744 loss=3.130040 lr=0.088593 Epoch[069] Batch [1999]/[3759] Speed: 117.164780 samples/sec accuracy=31.701563 loss=3.129790 lr=0.088585 Epoch[069] Batch [2049]/[3759] Speed: 116.543886 samples/sec accuracy=31.709604 loss=3.130586 lr=0.088577 Epoch[069] Batch [2099]/[3759] Speed: 117.256181 samples/sec accuracy=31.703125 loss=3.131017 lr=0.088568 Epoch[069] Batch [2149]/[3759] Speed: 117.218815 samples/sec accuracy=31.696221 loss=3.131365 lr=0.088560 Epoch[069] Batch [2199]/[3759] Speed: 118.040455 samples/sec accuracy=31.720170 loss=3.131622 lr=0.088552 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loss=3.130935 lr=0.088396 Epoch[069] Batch [3199]/[3759] Speed: 118.072784 samples/sec accuracy=31.758301 loss=3.131009 lr=0.088387 Epoch[069] Batch [3249]/[3759] Speed: 116.489189 samples/sec accuracy=31.750962 loss=3.131076 lr=0.088379 Epoch[069] Batch [3299]/[3759] Speed: 117.032365 samples/sec accuracy=31.747633 loss=3.131186 lr=0.088371 Epoch[069] Batch [3349]/[3759] Speed: 116.447551 samples/sec accuracy=31.756996 loss=3.130531 lr=0.088362 Epoch[069] Batch [3399]/[3759] Speed: 117.393880 samples/sec accuracy=31.746324 loss=3.131370 lr=0.088354 Epoch[069] Batch [3449]/[3759] Speed: 116.993703 samples/sec accuracy=31.731431 loss=3.131682 lr=0.088346 Epoch[069] Batch [3499]/[3759] Speed: 117.672533 samples/sec accuracy=31.716518 loss=3.132386 lr=0.088338 Epoch[069] Batch [3549]/[3759] Speed: 117.634146 samples/sec accuracy=31.699824 loss=3.132718 lr=0.088329 Epoch[069] Batch [3599]/[3759] Speed: 117.303395 samples/sec accuracy=31.681424 loss=3.133364 lr=0.088321 Epoch[069] Batch [3649]/[3759] Speed: 117.478743 samples/sec accuracy=31.674229 loss=3.133869 lr=0.088313 Epoch[069] Batch [3699]/[3759] Speed: 117.321694 samples/sec accuracy=31.667230 loss=3.134270 lr=0.088305 Epoch[069] Batch [3749]/[3759] Speed: 121.030583 samples/sec accuracy=31.650417 loss=3.134998 lr=0.088296 Batch [0049]/[0303]: acc-top1=31.406250 acc-top5=58.125000 Batch [0099]/[0303]: acc-top1=29.250000 acc-top5=56.562500 Batch [0149]/[0303]: acc-top1=31.125000 acc-top5=57.520833 Batch [0199]/[0303]: acc-top1=34.164062 acc-top5=60.203125 Batch [0249]/[0303]: acc-top1=33.475000 acc-top5=59.893750 Batch [0299]/[0303]: acc-top1=32.515625 acc-top5=59.802083 [Epoch 069] training: accuracy=31.654446 loss=3.135055 [Epoch 069] speed: 116 samples/sec time cost: 2180.445763 [Epoch 069] validation: acc-top1=32.497937 acc-top5=59.803012 loss=3.152101 Epoch[070] Batch [0049]/[3760] Speed: 86.216556 samples/sec accuracy=32.187500 loss=3.078918 lr=0.088286 Epoch[070] Batch [0099]/[3760] Speed: 116.814512 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acc-top5=58.833333 Batch [0199]/[0303]: acc-top1=34.562500 acc-top5=60.812500 Batch [0249]/[0303]: acc-top1=33.743750 acc-top5=60.756250 Batch [0299]/[0303]: acc-top1=33.026042 acc-top5=60.526042 [Epoch 070] training: accuracy=31.715010 loss=3.129274 [Epoch 070] speed: 116 samples/sec time cost: 2183.313633 [Epoch 070] validation: acc-top1=33.065182 acc-top5=60.586840 loss=3.102715 Epoch[071] Batch [0049]/[3760] Speed: 87.345177 samples/sec accuracy=31.718750 loss=3.118978 lr=0.087655 Epoch[071] Batch [0099]/[3760] Speed: 116.357895 samples/sec accuracy=31.687500 loss=3.111519 lr=0.087647 Epoch[071] Batch [0149]/[3760] Speed: 117.080321 samples/sec accuracy=31.979167 loss=3.096516 lr=0.087638 Epoch[071] Batch [0199]/[3760] Speed: 116.235929 samples/sec accuracy=32.335938 loss=3.079195 lr=0.087630 Epoch[071] Batch [0249]/[3760] Speed: 117.391792 samples/sec accuracy=32.287500 loss=3.080674 lr=0.087622 Epoch[071] Batch [0299]/[3760] Speed: 117.678326 samples/sec accuracy=32.328125 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accuracy=32.152500 loss=3.102765 lr=0.087451 Epoch[071] Batch [1299]/[3760] Speed: 115.535905 samples/sec accuracy=32.063702 loss=3.108324 lr=0.087443 Epoch[071] Batch [1349]/[3760] Speed: 117.497711 samples/sec accuracy=32.076389 loss=3.109419 lr=0.087434 Epoch[071] Batch [1399]/[3760] Speed: 117.335754 samples/sec accuracy=32.064732 loss=3.109618 lr=0.087425 Epoch[071] Batch [1449]/[3760] Speed: 117.223904 samples/sec accuracy=32.031250 loss=3.111550 lr=0.087417 Epoch[071] Batch [1499]/[3760] Speed: 117.390089 samples/sec accuracy=32.001042 loss=3.113099 lr=0.087408 Epoch[071] Batch [1549]/[3760] Speed: 116.771608 samples/sec accuracy=31.969758 loss=3.114613 lr=0.087400 Epoch[071] Batch [1599]/[3760] Speed: 117.345083 samples/sec accuracy=31.950195 loss=3.115532 lr=0.087391 Epoch[071] Batch [1649]/[3760] Speed: 117.215527 samples/sec accuracy=31.949811 loss=3.115477 lr=0.087383 Epoch[071] Batch [1699]/[3760] Speed: 117.722325 samples/sec accuracy=31.924632 loss=3.116786 lr=0.087374 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loss=3.126326 lr=0.087211 Epoch[071] Batch [2699]/[3760] Speed: 118.383248 samples/sec accuracy=31.821181 loss=3.127336 lr=0.087202 Epoch[071] Batch [2749]/[3760] Speed: 117.102019 samples/sec accuracy=31.810795 loss=3.127606 lr=0.087194 Epoch[071] Batch [2799]/[3760] Speed: 117.313229 samples/sec accuracy=31.823103 loss=3.126678 lr=0.087185 Epoch[071] Batch [2849]/[3760] Speed: 118.109417 samples/sec accuracy=31.849781 loss=3.125557 lr=0.087176 Epoch[071] Batch [2899]/[3760] Speed: 117.251503 samples/sec accuracy=31.851293 loss=3.126155 lr=0.087168 Epoch[071] Batch [2949]/[3760] Speed: 117.648407 samples/sec accuracy=31.852225 loss=3.126951 lr=0.087159 Epoch[071] Batch [2999]/[3760] Speed: 116.813348 samples/sec accuracy=31.874479 loss=3.125607 lr=0.087151 Epoch[071] Batch [3049]/[3760] Speed: 117.598132 samples/sec accuracy=31.877561 loss=3.125637 lr=0.087142 Epoch[071] Batch [3099]/[3760] Speed: 117.303395 samples/sec accuracy=31.893649 loss=3.125329 lr=0.087133 Epoch[071] Batch 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accuracy=31.845052 loss=3.127824 lr=0.087047 Epoch[071] Batch [3649]/[3760] Speed: 116.779872 samples/sec accuracy=31.826627 loss=3.128386 lr=0.087038 Epoch[071] Batch [3699]/[3760] Speed: 117.295079 samples/sec accuracy=31.833193 loss=3.127709 lr=0.087029 Epoch[071] Batch [3749]/[3760] Speed: 119.990473 samples/sec accuracy=31.847500 loss=3.126710 lr=0.087021 Batch [0049]/[0303]: acc-top1=32.250000 acc-top5=57.656250 Batch [0099]/[0303]: acc-top1=29.625000 acc-top5=55.625000 Batch [0149]/[0303]: acc-top1=31.354167 acc-top5=56.645833 Batch [0199]/[0303]: acc-top1=33.335938 acc-top5=58.562500 Batch [0249]/[0303]: acc-top1=32.368750 acc-top5=58.406250 Batch [0299]/[0303]: acc-top1=32.125000 acc-top5=58.911458 [Epoch 071] training: accuracy=31.841340 loss=3.126981 [Epoch 071] speed: 116 samples/sec time cost: 2179.877415 [Epoch 071] validation: acc-top1=32.126650 acc-top5=58.910891 loss=3.237991 Epoch[072] Batch [0049]/[3759] Speed: 86.793679 samples/sec accuracy=31.718750 loss=3.148294 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accuracy=32.054104 loss=3.110706 lr=0.086433 Epoch[072] Batch [3399]/[3759] Speed: 116.740862 samples/sec accuracy=32.062500 loss=3.110622 lr=0.086424 Epoch[072] Batch [3449]/[3759] Speed: 117.054304 samples/sec accuracy=32.043025 loss=3.111814 lr=0.086415 Epoch[072] Batch [3499]/[3759] Speed: 116.842317 samples/sec accuracy=32.009375 loss=3.113131 lr=0.086406 Epoch[072] Batch [3549]/[3759] Speed: 117.967095 samples/sec accuracy=31.985475 loss=3.113881 lr=0.086397 Epoch[072] Batch [3599]/[3759] Speed: 118.196793 samples/sec accuracy=31.975694 loss=3.114348 lr=0.086388 Epoch[072] Batch [3649]/[3759] Speed: 116.755229 samples/sec accuracy=31.984161 loss=3.114424 lr=0.086380 Epoch[072] Batch [3699]/[3759] Speed: 117.550623 samples/sec accuracy=31.984797 loss=3.113950 lr=0.086371 Epoch[072] Batch [3749]/[3759] Speed: 120.294901 samples/sec accuracy=31.977083 loss=3.114848 lr=0.086362 Batch [0049]/[0303]: acc-top1=34.468750 acc-top5=59.781250 Batch [0099]/[0303]: acc-top1=32.265625 acc-top5=58.812500 Batch [0149]/[0303]: acc-top1=33.520833 acc-top5=60.479167 Batch [0199]/[0303]: acc-top1=35.640625 acc-top5=62.210938 Batch [0249]/[0303]: acc-top1=34.875000 acc-top5=61.862500 Batch [0299]/[0303]: acc-top1=34.515625 acc-top5=61.875000 [Epoch 072] training: accuracy=31.976590 loss=3.114682 [Epoch 072] speed: 116 samples/sec time cost: 2178.958024 [Epoch 072] validation: acc-top1=34.596741 acc-top5=61.865718 loss=3.008119 Epoch[073] Batch [0049]/[3760] Speed: 86.743973 samples/sec accuracy=32.218750 loss=3.128454 lr=0.086351 Epoch[073] Batch [0099]/[3760] Speed: 117.977227 samples/sec accuracy=32.343750 loss=3.110283 lr=0.086343 Epoch[073] Batch [0149]/[3760] Speed: 117.105545 samples/sec accuracy=32.489583 loss=3.093299 lr=0.086334 Epoch[073] Batch [0199]/[3760] Speed: 118.163401 samples/sec accuracy=32.664062 loss=3.076672 lr=0.086325 Epoch[073] Batch [0249]/[3760] Speed: 116.988906 samples/sec accuracy=32.650000 loss=3.071780 lr=0.086316 Epoch[073] Batch 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accuracy=32.243750 loss=3.093627 lr=0.086227 Epoch[073] Batch [0799]/[3760] Speed: 117.433104 samples/sec accuracy=32.193359 loss=3.097459 lr=0.086218 Epoch[073] Batch [0849]/[3760] Speed: 117.660569 samples/sec accuracy=32.213235 loss=3.097751 lr=0.086209 Epoch[073] Batch [0899]/[3760] Speed: 117.500691 samples/sec accuracy=32.234375 loss=3.095517 lr=0.086201 Epoch[073] Batch [0949]/[3760] Speed: 116.885734 samples/sec accuracy=32.271382 loss=3.094477 lr=0.086192 Epoch[073] Batch [0999]/[3760] Speed: 118.204703 samples/sec accuracy=32.251562 loss=3.098343 lr=0.086183 Epoch[073] Batch [1049]/[3760] Speed: 117.571230 samples/sec accuracy=32.250000 loss=3.099798 lr=0.086174 Epoch[073] Batch [1099]/[3760] Speed: 117.942822 samples/sec accuracy=32.204545 loss=3.099052 lr=0.086165 Epoch[073] Batch [1149]/[3760] Speed: 117.731752 samples/sec accuracy=32.236413 loss=3.099472 lr=0.086156 Epoch[073] Batch [1199]/[3760] Speed: 118.182033 samples/sec accuracy=32.205729 loss=3.101146 lr=0.086147 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loss=3.114520 lr=0.085977 Epoch[073] Batch [2199]/[3760] Speed: 117.388902 samples/sec accuracy=31.948153 loss=3.114410 lr=0.085968 Epoch[073] Batch [2249]/[3760] Speed: 117.568168 samples/sec accuracy=31.949306 loss=3.114190 lr=0.085959 Epoch[073] Batch [2299]/[3760] Speed: 117.339663 samples/sec accuracy=31.921875 loss=3.115523 lr=0.085951 Epoch[073] Batch [2349]/[3760] Speed: 116.735457 samples/sec accuracy=31.924202 loss=3.115357 lr=0.085942 Epoch[073] Batch [2399]/[3760] Speed: 117.405874 samples/sec accuracy=31.899089 loss=3.116570 lr=0.085933 Epoch[073] Batch [2449]/[3760] Speed: 116.010157 samples/sec accuracy=31.913903 loss=3.115602 lr=0.085924 Epoch[073] Batch [2499]/[3760] Speed: 117.008195 samples/sec accuracy=31.899375 loss=3.116406 lr=0.085915 Epoch[073] Batch [2549]/[3760] Speed: 117.019430 samples/sec accuracy=31.887868 loss=3.117421 lr=0.085906 Epoch[073] Batch [2599]/[3760] Speed: 116.408271 samples/sec accuracy=31.900841 loss=3.116622 lr=0.085897 Epoch[073] Batch 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accuracy=31.879032 loss=3.120649 lr=0.085807 Epoch[073] Batch [3149]/[3760] Speed: 117.309483 samples/sec accuracy=31.883929 loss=3.120933 lr=0.085798 Epoch[073] Batch [3199]/[3760] Speed: 117.558519 samples/sec accuracy=31.877441 loss=3.120552 lr=0.085789 Epoch[073] Batch [3249]/[3760] Speed: 117.070532 samples/sec accuracy=31.881250 loss=3.120621 lr=0.085780 Epoch[073] Batch [3299]/[3760] Speed: 117.695557 samples/sec accuracy=31.869792 loss=3.121694 lr=0.085771 Epoch[073] Batch [3349]/[3760] Speed: 116.927020 samples/sec accuracy=31.870336 loss=3.121517 lr=0.085762 Epoch[073] Batch [3399]/[3760] Speed: 117.409793 samples/sec accuracy=31.869026 loss=3.121434 lr=0.085753 Epoch[073] Batch [3449]/[3760] Speed: 116.575046 samples/sec accuracy=31.855525 loss=3.122011 lr=0.085744 Epoch[073] Batch [3499]/[3760] Speed: 118.154997 samples/sec accuracy=31.843304 loss=3.122421 lr=0.085735 Epoch[073] Batch [3549]/[3760] Speed: 118.163217 samples/sec accuracy=31.849472 loss=3.122427 lr=0.085726 Epoch[073] Batch [3599]/[3760] Speed: 117.525008 samples/sec accuracy=31.832465 loss=3.122850 lr=0.085717 Epoch[073] Batch [3649]/[3760] Speed: 117.931452 samples/sec accuracy=31.851884 loss=3.121913 lr=0.085708 Epoch[073] Batch [3699]/[3760] Speed: 117.024383 samples/sec accuracy=31.856419 loss=3.122261 lr=0.085699 Epoch[073] Batch [3749]/[3760] Speed: 120.564827 samples/sec accuracy=31.859167 loss=3.122277 lr=0.085690 Batch [0049]/[0303]: acc-top1=34.843750 acc-top5=62.031250 Batch [0099]/[0303]: acc-top1=33.515625 acc-top5=59.750000 Batch [0149]/[0303]: acc-top1=35.239583 acc-top5=61.312500 Batch [0199]/[0303]: acc-top1=37.304688 acc-top5=63.000000 Batch [0249]/[0303]: acc-top1=36.093750 acc-top5=62.275000 Batch [0299]/[0303]: acc-top1=34.921875 acc-top5=61.718750 [Epoch 073] training: accuracy=31.856715 loss=3.122218 [Epoch 073] speed: 116 samples/sec time cost: 2177.036623 [Epoch 073] validation: acc-top1=34.828795 acc-top5=61.716172 loss=2.987804 Epoch[074] Batch [0049]/[3760] Speed: 87.040607 samples/sec accuracy=32.343750 loss=3.033843 lr=0.085679 Epoch[074] Batch [0099]/[3760] Speed: 117.595881 samples/sec accuracy=32.218750 loss=3.068466 lr=0.085670 Epoch[074] Batch [0149]/[3760] Speed: 118.126649 samples/sec accuracy=32.031250 loss=3.087101 lr=0.085661 Epoch[074] Batch [0199]/[3760] Speed: 118.164457 samples/sec accuracy=31.703125 loss=3.093028 lr=0.085652 Epoch[074] Batch [0249]/[3760] Speed: 117.201846 samples/sec accuracy=31.843750 loss=3.103065 lr=0.085643 Epoch[074] Batch [0299]/[3760] Speed: 116.989945 samples/sec accuracy=31.984375 loss=3.095705 lr=0.085634 Epoch[074] Batch [0349]/[3760] Speed: 118.091501 samples/sec accuracy=31.955357 loss=3.102991 lr=0.085624 Epoch[074] Batch [0399]/[3760] Speed: 116.563883 samples/sec accuracy=32.089844 loss=3.095748 lr=0.085615 Epoch[074] Batch [0449]/[3760] Speed: 117.317578 samples/sec accuracy=32.225694 loss=3.087681 lr=0.085606 Epoch[074] Batch [0499]/[3760] Speed: 117.716025 samples/sec accuracy=32.362500 loss=3.086360 lr=0.085597 Epoch[074] Batch [0549]/[3760] Speed: 117.734162 samples/sec accuracy=32.468750 loss=3.081151 lr=0.085588 Epoch[074] Batch [0599]/[3760] Speed: 117.481264 samples/sec accuracy=32.403646 loss=3.084970 lr=0.085579 Epoch[074] Batch [0649]/[3760] Speed: 116.710502 samples/sec accuracy=32.502404 loss=3.080744 lr=0.085570 Epoch[074] Batch [0699]/[3760] Speed: 117.380924 samples/sec accuracy=32.537946 loss=3.080624 lr=0.085561 Epoch[074] Batch [0749]/[3760] Speed: 117.681228 samples/sec accuracy=32.445833 loss=3.084546 lr=0.085552 Epoch[074] Batch [0799]/[3760] Speed: 117.878042 samples/sec accuracy=32.412109 loss=3.089581 lr=0.085543 Epoch[074] Batch [0849]/[3760] Speed: 117.750338 samples/sec accuracy=32.397059 loss=3.092082 lr=0.085534 Epoch[074] Batch [0899]/[3760] Speed: 116.956420 samples/sec accuracy=32.359375 loss=3.093428 lr=0.085525 Epoch[074] Batch [0949]/[3760] Speed: 117.555430 samples/sec accuracy=32.419408 loss=3.092171 lr=0.085516 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accuracy=32.241228 loss=3.099797 lr=0.085169 Epoch[074] Batch [2899]/[3760] Speed: 116.854713 samples/sec accuracy=32.231681 loss=3.101074 lr=0.085160 Epoch[074] Batch [2949]/[3760] Speed: 117.368063 samples/sec accuracy=32.236758 loss=3.101370 lr=0.085151 Epoch[074] Batch [2999]/[3760] Speed: 116.360880 samples/sec accuracy=32.244792 loss=3.101318 lr=0.085142 Epoch[074] Batch [3049]/[3760] Speed: 117.820148 samples/sec accuracy=32.235656 loss=3.102077 lr=0.085132 Epoch[074] Batch [3099]/[3760] Speed: 117.106881 samples/sec accuracy=32.225806 loss=3.103143 lr=0.085123 Epoch[074] Batch [3149]/[3760] Speed: 118.447248 samples/sec accuracy=32.209821 loss=3.104006 lr=0.085114 Epoch[074] Batch [3199]/[3760] Speed: 117.497097 samples/sec accuracy=32.212402 loss=3.104148 lr=0.085105 Epoch[074] Batch [3249]/[3760] Speed: 117.779401 samples/sec accuracy=32.199038 loss=3.105235 lr=0.085096 Epoch[074] Batch [3299]/[3760] Speed: 117.025733 samples/sec accuracy=32.215909 loss=3.104396 lr=0.085086 Epoch[074] Batch [3349]/[3760] Speed: 117.545461 samples/sec accuracy=32.218284 loss=3.104815 lr=0.085077 Epoch[074] Batch [3399]/[3760] Speed: 117.050183 samples/sec accuracy=32.209559 loss=3.106112 lr=0.085068 Epoch[074] Batch [3449]/[3760] Speed: 116.979902 samples/sec accuracy=32.223732 loss=3.105394 lr=0.085059 Epoch[074] Batch [3499]/[3760] Speed: 117.566545 samples/sec accuracy=32.228125 loss=3.105577 lr=0.085050 Epoch[074] Batch [3549]/[3760] Speed: 116.747605 samples/sec accuracy=32.220070 loss=3.106486 lr=0.085040 Epoch[074] Batch [3599]/[3760] Speed: 117.794474 samples/sec accuracy=32.220486 loss=3.106704 lr=0.085031 Epoch[074] Batch [3649]/[3760] Speed: 117.905039 samples/sec accuracy=32.235017 loss=3.105563 lr=0.085022 Epoch[074] Batch [3699]/[3760] Speed: 118.041798 samples/sec accuracy=32.222128 loss=3.106191 lr=0.085013 Epoch[074] Batch [3749]/[3760] Speed: 120.642004 samples/sec accuracy=32.223750 loss=3.106035 lr=0.085004 Batch [0049]/[0303]: acc-top1=32.781250 acc-top5=58.593750 Batch [0099]/[0303]: acc-top1=29.921875 acc-top5=55.859375 Batch [0149]/[0303]: acc-top1=31.635417 acc-top5=57.479167 Batch [0199]/[0303]: acc-top1=34.039062 acc-top5=59.757812 Batch [0249]/[0303]: acc-top1=33.650000 acc-top5=59.900000 Batch [0299]/[0303]: acc-top1=32.932292 acc-top5=59.703125 [Epoch 074] training: accuracy=32.222407 loss=3.106022 [Epoch 074] speed: 117 samples/sec time cost: 2175.100307 [Epoch 074] validation: acc-top1=32.900165 acc-top5=59.653465 loss=3.167469 Epoch[075] Batch [0049]/[3759] Speed: 88.222246 samples/sec accuracy=32.000000 loss=3.127266 lr=0.084993 Epoch[075] Batch [0099]/[3759] Speed: 117.412663 samples/sec accuracy=31.500000 loss=3.120029 lr=0.084983 Epoch[075] Batch [0149]/[3759] Speed: 117.367342 samples/sec accuracy=31.937500 loss=3.095644 lr=0.084974 Epoch[075] Batch [0199]/[3759] Speed: 117.669561 samples/sec accuracy=31.976562 loss=3.095635 lr=0.084965 Epoch[075] Batch [0249]/[3759] Speed: 117.591742 samples/sec accuracy=32.031250 loss=3.091927 lr=0.084956 Epoch[075] Batch [0299]/[3759] Speed: 116.677350 samples/sec accuracy=32.104167 loss=3.096894 lr=0.084946 Epoch[075] Batch [0349]/[3759] Speed: 117.302159 samples/sec accuracy=32.120536 loss=3.093223 lr=0.084937 Epoch[075] Batch [0399]/[3759] Speed: 118.521221 samples/sec accuracy=32.109375 loss=3.095661 lr=0.084928 Epoch[075] Batch [0449]/[3759] Speed: 116.968233 samples/sec accuracy=32.083333 loss=3.096532 lr=0.084919 Epoch[075] Batch [0499]/[3759] Speed: 117.772651 samples/sec accuracy=32.193750 loss=3.091749 lr=0.084910 Epoch[075] Batch [0549]/[3759] Speed: 117.654954 samples/sec accuracy=32.230114 loss=3.090228 lr=0.084900 Epoch[075] Batch [0599]/[3759] Speed: 117.769657 samples/sec accuracy=32.309896 loss=3.089429 lr=0.084891 Epoch[075] Batch [0649]/[3759] Speed: 117.555523 samples/sec accuracy=32.362981 loss=3.087121 lr=0.084882 Epoch[075] Batch [0699]/[3759] Speed: 117.087339 samples/sec accuracy=32.383929 loss=3.087145 lr=0.084873 Epoch[075] Batch [0749]/[3759] Speed: 117.855005 samples/sec accuracy=32.250000 loss=3.091896 lr=0.084863 Epoch[075] Batch [0799]/[3759] Speed: 117.805237 samples/sec accuracy=32.197266 loss=3.094200 lr=0.084854 Epoch[075] Batch [0849]/[3759] Speed: 117.345499 samples/sec accuracy=32.231618 loss=3.094373 lr=0.084845 Epoch[075] Batch [0899]/[3759] Speed: 117.540258 samples/sec accuracy=32.206597 loss=3.094584 lr=0.084836 Epoch[075] Batch [0949]/[3759] Speed: 118.022669 samples/sec accuracy=32.226974 loss=3.090925 lr=0.084826 Epoch[075] Batch [0999]/[3759] Speed: 117.208409 samples/sec accuracy=32.262500 loss=3.090365 lr=0.084817 Epoch[075] Batch [1049]/[3759] Speed: 117.649713 samples/sec accuracy=32.254464 loss=3.091004 lr=0.084808 Epoch[075] Batch [1099]/[3759] Speed: 117.598130 samples/sec accuracy=32.228693 loss=3.092357 lr=0.084799 Epoch[075] Batch [1149]/[3759] Speed: 118.134354 samples/sec accuracy=32.180707 loss=3.096037 lr=0.084789 Epoch[075] Batch [1199]/[3759] Speed: 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loss=3.097435 lr=0.084697 Epoch[075] Batch [1699]/[3759] Speed: 116.710283 samples/sec accuracy=32.246324 loss=3.096286 lr=0.084687 Epoch[075] Batch [1749]/[3759] Speed: 117.919391 samples/sec accuracy=32.250893 loss=3.095934 lr=0.084678 Epoch[075] Batch [1799]/[3759] Speed: 117.571714 samples/sec accuracy=32.234375 loss=3.096570 lr=0.084669 Epoch[075] Batch [1849]/[3759] Speed: 117.673056 samples/sec accuracy=32.205236 loss=3.097550 lr=0.084659 Epoch[075] Batch [1899]/[3759] Speed: 117.199711 samples/sec accuracy=32.171053 loss=3.099893 lr=0.084650 Epoch[075] Batch [1949]/[3759] Speed: 118.034290 samples/sec accuracy=32.201923 loss=3.098155 lr=0.084641 Epoch[075] Batch [1999]/[3759] Speed: 117.490614 samples/sec accuracy=32.240625 loss=3.096742 lr=0.084632 Epoch[075] Batch [2049]/[3759] Speed: 117.179487 samples/sec accuracy=32.262957 loss=3.096259 lr=0.084622 Epoch[075] Batch [2099]/[3759] Speed: 117.652158 samples/sec accuracy=32.239583 loss=3.097215 lr=0.084613 Epoch[075] Batch 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accuracy=32.246394 loss=3.098546 lr=0.084520 Epoch[075] Batch [2649]/[3759] Speed: 116.602390 samples/sec accuracy=32.229953 loss=3.099647 lr=0.084510 Epoch[075] Batch [2699]/[3759] Speed: 117.415588 samples/sec accuracy=32.239583 loss=3.099623 lr=0.084501 Epoch[075] Batch [2749]/[3759] Speed: 117.394604 samples/sec accuracy=32.218750 loss=3.100044 lr=0.084492 Epoch[075] Batch [2799]/[3759] Speed: 117.169496 samples/sec accuracy=32.221540 loss=3.100378 lr=0.084482 Epoch[075] Batch [2849]/[3759] Speed: 116.705898 samples/sec accuracy=32.256031 loss=3.099520 lr=0.084473 Epoch[075] Batch [2899]/[3759] Speed: 118.012402 samples/sec accuracy=32.260237 loss=3.099085 lr=0.084464 Epoch[075] Batch [2949]/[3759] Speed: 117.887251 samples/sec accuracy=32.248411 loss=3.099809 lr=0.084454 Epoch[075] Batch [2999]/[3759] Speed: 117.865486 samples/sec accuracy=32.246875 loss=3.099946 lr=0.084445 Epoch[075] Batch [3049]/[3759] Speed: 117.146674 samples/sec accuracy=32.237193 loss=3.100682 lr=0.084436 Epoch[075] Batch [3099]/[3759] Speed: 116.825207 samples/sec accuracy=32.240927 loss=3.100487 lr=0.084426 Epoch[075] Batch [3149]/[3759] Speed: 117.637183 samples/sec accuracy=32.224206 loss=3.101402 lr=0.084417 Epoch[075] Batch [3199]/[3759] Speed: 117.293346 samples/sec accuracy=32.223145 loss=3.101600 lr=0.084408 Epoch[075] Batch [3249]/[3759] Speed: 117.362172 samples/sec accuracy=32.211058 loss=3.102202 lr=0.084398 Epoch[075] Batch [3299]/[3759] Speed: 117.879166 samples/sec accuracy=32.193655 loss=3.102826 lr=0.084389 Epoch[075] Batch [3349]/[3759] Speed: 117.037075 samples/sec accuracy=32.173974 loss=3.103983 lr=0.084380 Epoch[075] Batch [3399]/[3759] Speed: 117.680626 samples/sec accuracy=32.167279 loss=3.103864 lr=0.084370 Epoch[075] Batch [3449]/[3759] Speed: 117.577589 samples/sec accuracy=32.148098 loss=3.104530 lr=0.084361 Epoch[075] Batch [3499]/[3759] Speed: 117.277605 samples/sec accuracy=32.151786 loss=3.105066 lr=0.084351 Epoch[075] Batch [3549]/[3759] Speed: 117.825978 samples/sec accuracy=32.149208 loss=3.105255 lr=0.084342 Epoch[075] Batch [3599]/[3759] Speed: 117.860538 samples/sec accuracy=32.127170 loss=3.105490 lr=0.084333 Epoch[075] Batch [3649]/[3759] Speed: 117.492591 samples/sec accuracy=32.141695 loss=3.104683 lr=0.084323 Epoch[075] Batch [3699]/[3759] Speed: 117.311439 samples/sec accuracy=32.129223 loss=3.105102 lr=0.084314 Epoch[075] Batch [3749]/[3759] Speed: 120.450840 samples/sec accuracy=32.122917 loss=3.105792 lr=0.084305 Batch [0049]/[0303]: acc-top1=32.312500 acc-top5=58.375000 Batch [0099]/[0303]: acc-top1=29.281250 acc-top5=55.453125 Batch [0149]/[0303]: acc-top1=31.250000 acc-top5=58.114583 Batch [0199]/[0303]: acc-top1=33.335938 acc-top5=60.351562 Batch [0249]/[0303]: acc-top1=32.412500 acc-top5=60.043750 Batch [0299]/[0303]: acc-top1=32.041667 acc-top5=59.979167 [Epoch 075] training: accuracy=32.125399 loss=3.105561 [Epoch 075] speed: 116 samples/sec time cost: 2176.203942 [Epoch 075] validation: acc-top1=32.131807 acc-top5=60.009282 loss=3.165461 Epoch[076] Batch [0049]/[3760] Speed: 87.578758 samples/sec accuracy=35.593750 loss=2.950844 lr=0.084293 Epoch[076] Batch [0099]/[3760] Speed: 117.284901 samples/sec accuracy=34.546875 loss=2.981633 lr=0.084284 Epoch[076] Batch [0149]/[3760] Speed: 117.829993 samples/sec accuracy=34.156250 loss=3.007000 lr=0.084275 Epoch[076] Batch [0199]/[3760] Speed: 117.388337 samples/sec accuracy=33.273438 loss=3.027141 lr=0.084265 Epoch[076] Batch [0249]/[3760] Speed: 118.321123 samples/sec accuracy=33.337500 loss=3.025984 lr=0.084256 Epoch[076] Batch [0299]/[3760] Speed: 117.365319 samples/sec accuracy=33.166667 loss=3.042506 lr=0.084246 Epoch[076] Batch [0349]/[3760] Speed: 118.082352 samples/sec accuracy=33.107143 loss=3.046004 lr=0.084237 Epoch[076] Batch [0399]/[3760] Speed: 117.129926 samples/sec accuracy=32.992188 loss=3.051390 lr=0.084228 Epoch[076] Batch [0449]/[3760] Speed: 117.678255 samples/sec accuracy=32.920139 loss=3.051202 lr=0.084218 Epoch[076] Batch [0499]/[3760] Speed: 117.403761 samples/sec accuracy=32.956250 loss=3.055085 lr=0.084209 Epoch[076] Batch [0549]/[3760] Speed: 117.641065 samples/sec accuracy=33.039773 loss=3.053049 lr=0.084199 Epoch[076] Batch [0599]/[3760] Speed: 118.052288 samples/sec accuracy=33.007812 loss=3.056475 lr=0.084190 Epoch[076] Batch [0649]/[3760] Speed: 117.229099 samples/sec accuracy=32.966346 loss=3.060779 lr=0.084181 Epoch[076] Batch [0699]/[3760] Speed: 117.411139 samples/sec accuracy=32.964286 loss=3.063088 lr=0.084171 Epoch[076] Batch [0749]/[3760] Speed: 116.910342 samples/sec accuracy=32.987500 loss=3.064710 lr=0.084162 Epoch[076] Batch [0799]/[3760] Speed: 117.660344 samples/sec accuracy=32.996094 loss=3.060637 lr=0.084152 Epoch[076] Batch [0849]/[3760] Speed: 117.841650 samples/sec accuracy=32.948529 loss=3.063652 lr=0.084143 Epoch[076] Batch [0899]/[3760] Speed: 118.169399 samples/sec accuracy=32.885417 loss=3.063310 lr=0.084134 Epoch[076] Batch [0949]/[3760] 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accuracy=32.690848 loss=3.076322 lr=0.084039 Epoch[076] Batch [1449]/[3760] Speed: 118.038502 samples/sec accuracy=32.695043 loss=3.077396 lr=0.084030 Epoch[076] Batch [1499]/[3760] Speed: 117.984728 samples/sec accuracy=32.694792 loss=3.079117 lr=0.084020 Epoch[076] Batch [1549]/[3760] Speed: 117.685690 samples/sec accuracy=32.647177 loss=3.079898 lr=0.084011 Epoch[076] Batch [1599]/[3760] Speed: 118.881422 samples/sec accuracy=32.666016 loss=3.081315 lr=0.084001 Epoch[076] Batch [1649]/[3760] Speed: 117.662791 samples/sec accuracy=32.661932 loss=3.081201 lr=0.083992 Epoch[076] Batch [1699]/[3760] Speed: 116.874892 samples/sec accuracy=32.696691 loss=3.080573 lr=0.083982 Epoch[076] Batch [1749]/[3760] Speed: 117.838758 samples/sec accuracy=32.673214 loss=3.080791 lr=0.083973 Epoch[076] Batch [1799]/[3760] Speed: 117.362489 samples/sec accuracy=32.698785 loss=3.080076 lr=0.083964 Epoch[076] Batch [1849]/[3760] Speed: 117.565690 samples/sec accuracy=32.692568 loss=3.080061 lr=0.083954 Epoch[076] Batch [1899]/[3760] Speed: 118.294262 samples/sec accuracy=32.670230 loss=3.080999 lr=0.083945 Epoch[076] Batch [1949]/[3760] Speed: 117.985982 samples/sec accuracy=32.637019 loss=3.081912 lr=0.083935 Epoch[076] Batch [1999]/[3760] Speed: 117.957272 samples/sec accuracy=32.653906 loss=3.081194 lr=0.083926 Epoch[076] Batch [2049]/[3760] Speed: 116.552834 samples/sec accuracy=32.639482 loss=3.082387 lr=0.083916 Epoch[076] Batch [2099]/[3760] Speed: 116.991041 samples/sec accuracy=32.649554 loss=3.080877 lr=0.083907 Epoch[076] Batch [2149]/[3760] Speed: 117.499155 samples/sec accuracy=32.633721 loss=3.082345 lr=0.083897 Epoch[076] Batch [2199]/[3760] Speed: 117.570561 samples/sec accuracy=32.610085 loss=3.083084 lr=0.083888 Epoch[076] Batch [2249]/[3760] Speed: 117.584213 samples/sec accuracy=32.611111 loss=3.083317 lr=0.083878 Epoch[076] Batch [2299]/[3760] Speed: 118.088298 samples/sec accuracy=32.625679 loss=3.083049 lr=0.083869 Epoch[076] Batch [2349]/[3760] Speed: 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loss=3.089027 lr=0.083774 Epoch[076] Batch [2849]/[3760] Speed: 118.143474 samples/sec accuracy=32.532346 loss=3.088755 lr=0.083764 Epoch[076] Batch [2899]/[3760] Speed: 117.810583 samples/sec accuracy=32.518319 loss=3.088987 lr=0.083755 Epoch[076] Batch [2949]/[3760] Speed: 117.876329 samples/sec accuracy=32.501059 loss=3.089598 lr=0.083745 Epoch[076] Batch [2999]/[3760] Speed: 117.441309 samples/sec accuracy=32.504688 loss=3.089600 lr=0.083736 Epoch[076] Batch [3049]/[3760] Speed: 117.365510 samples/sec accuracy=32.514344 loss=3.089768 lr=0.083726 Epoch[076] Batch [3099]/[3760] Speed: 118.164157 samples/sec accuracy=32.496472 loss=3.090525 lr=0.083717 Epoch[076] Batch [3149]/[3760] Speed: 117.688891 samples/sec accuracy=32.478175 loss=3.091205 lr=0.083707 Epoch[076] Batch [3199]/[3760] Speed: 117.829803 samples/sec accuracy=32.493652 loss=3.090519 lr=0.083698 Epoch[076] Batch [3249]/[3760] Speed: 117.473031 samples/sec accuracy=32.469712 loss=3.092093 lr=0.083688 Epoch[076] Batch 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accuracy=32.465000 loss=3.092559 lr=0.083593 Batch [0049]/[0303]: acc-top1=33.406250 acc-top5=57.562500 Batch [0099]/[0303]: acc-top1=31.484375 acc-top5=56.265625 Batch [0149]/[0303]: acc-top1=33.208333 acc-top5=58.166667 Batch [0199]/[0303]: acc-top1=35.289062 acc-top5=60.421875 Batch [0249]/[0303]: acc-top1=34.450000 acc-top5=60.531250 Batch [0299]/[0303]: acc-top1=33.833333 acc-top5=60.447917 [Epoch 076] training: accuracy=32.470911 loss=3.092402 [Epoch 076] speed: 117 samples/sec time cost: 2174.380882 [Epoch 076] validation: acc-top1=33.797442 acc-top5=60.411510 loss=3.141108 Epoch[077] Batch [0049]/[3760] Speed: 88.926310 samples/sec accuracy=31.500000 loss=3.068134 lr=0.083581 Epoch[077] Batch [0099]/[3760] Speed: 117.731873 samples/sec accuracy=32.203125 loss=3.070275 lr=0.083572 Epoch[077] Batch [0149]/[3760] Speed: 117.574584 samples/sec accuracy=32.395833 loss=3.070129 lr=0.083562 Epoch[077] Batch [0199]/[3760] Speed: 117.463630 samples/sec accuracy=32.468750 loss=3.070263 lr=0.083553 Epoch[077] Batch [0249]/[3760] Speed: 116.917608 samples/sec accuracy=32.468750 loss=3.057297 lr=0.083543 Epoch[077] Batch [0299]/[3760] Speed: 117.171920 samples/sec accuracy=32.244792 loss=3.063439 lr=0.083533 Epoch[077] Batch [0349]/[3760] Speed: 117.546809 samples/sec accuracy=32.120536 loss=3.069738 lr=0.083524 Epoch[077] Batch [0399]/[3760] Speed: 116.839715 samples/sec accuracy=32.414062 loss=3.064081 lr=0.083514 Epoch[077] Batch [0449]/[3760] Speed: 116.961209 samples/sec accuracy=32.479167 loss=3.063391 lr=0.083505 Epoch[077] Batch [0499]/[3760] Speed: 117.619454 samples/sec accuracy=32.440625 loss=3.066144 lr=0.083495 Epoch[077] Batch [0549]/[3760] Speed: 116.980078 samples/sec accuracy=32.505682 loss=3.067828 lr=0.083486 Epoch[077] Batch [0599]/[3760] Speed: 117.753021 samples/sec accuracy=32.583333 loss=3.068543 lr=0.083476 Epoch[077] Batch [0649]/[3760] Speed: 116.977458 samples/sec accuracy=32.586538 loss=3.066412 lr=0.083466 Epoch[077] Batch [0699]/[3760] Speed: 117.879205 samples/sec accuracy=32.562500 loss=3.071621 lr=0.083457 Epoch[077] Batch [0749]/[3760] Speed: 117.322951 samples/sec accuracy=32.604167 loss=3.071077 lr=0.083447 Epoch[077] Batch [0799]/[3760] Speed: 117.943952 samples/sec accuracy=32.587891 loss=3.072057 lr=0.083438 Epoch[077] Batch [0849]/[3760] Speed: 117.155492 samples/sec accuracy=32.612132 loss=3.072121 lr=0.083428 Epoch[077] Batch [0899]/[3760] Speed: 117.309215 samples/sec accuracy=32.595486 loss=3.073315 lr=0.083418 Epoch[077] Batch [0949]/[3760] Speed: 117.172592 samples/sec accuracy=32.672697 loss=3.071970 lr=0.083409 Epoch[077] Batch [0999]/[3760] Speed: 117.403749 samples/sec accuracy=32.625000 loss=3.076899 lr=0.083399 Epoch[077] Batch [1049]/[3760] Speed: 117.480820 samples/sec accuracy=32.623512 loss=3.078392 lr=0.083390 Epoch[077] Batch [1099]/[3760] Speed: 117.202797 samples/sec accuracy=32.603693 loss=3.078256 lr=0.083380 Epoch[077] Batch [1149]/[3760] Speed: 118.059803 samples/sec accuracy=32.614130 loss=3.078120 lr=0.083370 Epoch[077] Batch [1199]/[3760] Speed: 116.579872 samples/sec accuracy=32.606771 loss=3.078781 lr=0.083361 Epoch[077] Batch [1249]/[3760] Speed: 117.034076 samples/sec accuracy=32.653750 loss=3.076909 lr=0.083351 Epoch[077] Batch [1299]/[3760] Speed: 117.625161 samples/sec accuracy=32.631010 loss=3.078183 lr=0.083342 Epoch[077] Batch [1349]/[3760] Speed: 117.597456 samples/sec accuracy=32.645833 loss=3.078565 lr=0.083332 Epoch[077] Batch [1399]/[3760] Speed: 117.043963 samples/sec accuracy=32.639509 loss=3.079687 lr=0.083322 Epoch[077] Batch [1449]/[3760] Speed: 116.956640 samples/sec accuracy=32.593750 loss=3.083140 lr=0.083313 Epoch[077] Batch [1499]/[3760] Speed: 117.399120 samples/sec accuracy=32.575000 loss=3.084903 lr=0.083303 Epoch[077] Batch [1549]/[3760] Speed: 117.569079 samples/sec accuracy=32.601815 loss=3.083590 lr=0.083294 Epoch[077] Batch [1599]/[3760] Speed: 117.469910 samples/sec accuracy=32.581055 loss=3.084364 lr=0.083284 Epoch[077] Batch [1649]/[3760] Speed: 117.975905 samples/sec accuracy=32.609848 loss=3.082615 lr=0.083274 Epoch[077] Batch [1699]/[3760] Speed: 117.483096 samples/sec accuracy=32.574449 loss=3.084686 lr=0.083265 Epoch[077] Batch [1749]/[3760] Speed: 117.319188 samples/sec accuracy=32.559821 loss=3.085448 lr=0.083255 Epoch[077] Batch [1799]/[3760] Speed: 116.350703 samples/sec accuracy=32.577257 loss=3.084459 lr=0.083245 Epoch[077] Batch [1849]/[3760] Speed: 118.495125 samples/sec accuracy=32.586993 loss=3.084213 lr=0.083236 Epoch[077] Batch [1899]/[3760] Speed: 117.015717 samples/sec accuracy=32.554276 loss=3.084968 lr=0.083226 Epoch[077] Batch [1949]/[3760] Speed: 117.136265 samples/sec accuracy=32.562500 loss=3.084309 lr=0.083217 Epoch[077] Batch [1999]/[3760] Speed: 118.026879 samples/sec accuracy=32.567188 loss=3.084071 lr=0.083207 Epoch[077] Batch [2049]/[3760] Speed: 117.303734 samples/sec accuracy=32.554878 loss=3.083589 lr=0.083197 Epoch[077] Batch [2099]/[3760] Speed: 117.408965 samples/sec accuracy=32.540923 loss=3.084052 lr=0.083188 Epoch[077] Batch [2149]/[3760] Speed: 118.516626 samples/sec accuracy=32.529797 loss=3.084329 lr=0.083178 Epoch[077] Batch [2199]/[3760] Speed: 117.356346 samples/sec accuracy=32.540483 loss=3.083993 lr=0.083168 Epoch[077] Batch [2249]/[3760] Speed: 117.346714 samples/sec accuracy=32.561806 loss=3.083435 lr=0.083159 Epoch[077] Batch [2299]/[3760] Speed: 117.832792 samples/sec accuracy=32.557745 loss=3.083873 lr=0.083149 Epoch[077] Batch [2349]/[3760] Speed: 116.333548 samples/sec accuracy=32.571144 loss=3.083487 lr=0.083139 Epoch[077] Batch [2399]/[3760] Speed: 117.792497 samples/sec accuracy=32.575521 loss=3.084466 lr=0.083130 Epoch[077] Batch [2449]/[3760] Speed: 117.782066 samples/sec accuracy=32.607143 loss=3.082997 lr=0.083120 Epoch[077] Batch [2499]/[3760] Speed: 117.539656 samples/sec accuracy=32.578750 loss=3.084582 lr=0.083110 Epoch[077] Batch [2549]/[3760] Speed: 117.953298 samples/sec accuracy=32.596814 loss=3.084013 lr=0.083101 Epoch[077] Batch [2599]/[3760] Speed: 117.644415 samples/sec accuracy=32.591346 loss=3.085192 lr=0.083091 Epoch[077] Batch [2649]/[3760] Speed: 117.071110 samples/sec accuracy=32.587854 loss=3.085888 lr=0.083081 Epoch[077] Batch [2699]/[3760] Speed: 117.316208 samples/sec accuracy=32.601852 loss=3.085849 lr=0.083072 Epoch[077] Batch [2749]/[3760] Speed: 117.223541 samples/sec accuracy=32.588636 loss=3.086607 lr=0.083062 Epoch[077] Batch [2799]/[3760] Speed: 117.137878 samples/sec accuracy=32.576451 loss=3.086838 lr=0.083052 Epoch[077] Batch [2849]/[3760] Speed: 118.113634 samples/sec accuracy=32.578399 loss=3.087037 lr=0.083043 Epoch[077] Batch [2899]/[3760] Speed: 116.684685 samples/sec accuracy=32.551185 loss=3.087917 lr=0.083033 Epoch[077] Batch [2949]/[3760] Speed: 117.852994 samples/sec accuracy=32.572034 loss=3.087905 lr=0.083023 Epoch[077] Batch [2999]/[3760] Speed: 117.696216 samples/sec accuracy=32.560937 loss=3.088317 lr=0.083014 Epoch[077] Batch [3049]/[3760] Speed: 117.225100 samples/sec accuracy=32.572746 loss=3.087711 lr=0.083004 Epoch[077] Batch [3099]/[3760] Speed: 117.868528 samples/sec accuracy=32.556452 loss=3.088422 lr=0.082994 Epoch[077] Batch [3149]/[3760] Speed: 117.984105 samples/sec accuracy=32.553075 loss=3.088929 lr=0.082985 Epoch[077] Batch [3199]/[3760] Speed: 116.259971 samples/sec accuracy=32.550293 loss=3.090200 lr=0.082975 Epoch[077] Batch [3249]/[3760] Speed: 117.483279 samples/sec accuracy=32.550000 loss=3.090149 lr=0.082965 Epoch[077] Batch [3299]/[3760] Speed: 117.290955 samples/sec accuracy=32.537405 loss=3.090529 lr=0.082955 Epoch[077] Batch [3349]/[3760] Speed: 118.163774 samples/sec accuracy=32.524720 loss=3.091030 lr=0.082946 Epoch[077] Batch [3399]/[3760] Speed: 117.740751 samples/sec accuracy=32.537684 loss=3.090458 lr=0.082936 Epoch[077] Batch [3449]/[3760] Speed: 117.055607 samples/sec accuracy=32.522192 loss=3.091109 lr=0.082926 Epoch[077] Batch [3499]/[3760] Speed: 117.963789 samples/sec accuracy=32.524107 loss=3.091433 lr=0.082917 Epoch[077] Batch [3549]/[3760] Speed: 116.656009 samples/sec accuracy=32.532130 loss=3.091435 lr=0.082907 Epoch[077] Batch [3599]/[3760] Speed: 117.227290 samples/sec accuracy=32.534722 loss=3.091544 lr=0.082897 Epoch[077] Batch [3649]/[3760] Speed: 117.504698 samples/sec accuracy=32.535103 loss=3.091738 lr=0.082887 Epoch[077] Batch [3699]/[3760] Speed: 117.466724 samples/sec accuracy=32.544341 loss=3.091020 lr=0.082878 Epoch[077] Batch [3749]/[3760] Speed: 120.459900 samples/sec accuracy=32.505000 loss=3.092592 lr=0.082868 Batch [0049]/[0303]: acc-top1=36.125000 acc-top5=61.343750 Batch [0099]/[0303]: acc-top1=32.000000 acc-top5=58.093750 Batch [0149]/[0303]: acc-top1=32.593750 acc-top5=58.750000 Batch [0199]/[0303]: acc-top1=34.484375 acc-top5=60.265625 Batch [0249]/[0303]: acc-top1=33.868750 acc-top5=60.156250 Batch [0299]/[0303]: acc-top1=33.135417 acc-top5=59.890625 [Epoch 077] training: accuracy=32.492520 loss=3.092985 [Epoch 077] speed: 116 samples/sec time cost: 2176.432032 [Epoch 077] validation: acc-top1=33.054868 acc-top5=59.880363 loss=3.111995 Epoch[078] Batch [0049]/[3759] Speed: 86.396707 samples/sec accuracy=33.187500 loss=3.067136 lr=0.082856 Epoch[078] Batch [0099]/[3759] Speed: 116.475167 samples/sec accuracy=34.062500 loss=3.021253 lr=0.082847 Epoch[078] Batch [0149]/[3759] Speed: 117.045770 samples/sec accuracy=33.822917 loss=3.053927 lr=0.082837 Epoch[078] Batch [0199]/[3759] Speed: 116.857684 samples/sec accuracy=33.320312 loss=3.075083 lr=0.082827 Epoch[078] Batch [0249]/[3759] Speed: 116.864493 samples/sec accuracy=33.418750 loss=3.063409 lr=0.082817 Epoch[078] Batch [0299]/[3759] Speed: 116.884196 samples/sec accuracy=33.255208 loss=3.061322 lr=0.082808 Epoch[078] Batch [0349]/[3759] Speed: 117.522956 samples/sec accuracy=33.205357 loss=3.061952 lr=0.082798 Epoch[078] Batch [0399]/[3759] Speed: 117.016766 samples/sec accuracy=32.871094 loss=3.078736 lr=0.082788 Epoch[078] Batch [0449]/[3759] Speed: 117.208790 samples/sec accuracy=32.934028 loss=3.077966 lr=0.082779 Epoch[078] Batch [0499]/[3759] Speed: 117.418655 samples/sec accuracy=33.015625 loss=3.071390 lr=0.082769 Epoch[078] Batch [0549]/[3759] Speed: 117.888812 samples/sec accuracy=33.028409 loss=3.073965 lr=0.082759 Epoch[078] Batch [0599]/[3759] Speed: 117.274921 samples/sec accuracy=32.963542 loss=3.075466 lr=0.082749 Epoch[078] Batch [0649]/[3759] Speed: 117.865260 samples/sec accuracy=32.975962 loss=3.076028 lr=0.082740 Epoch[078] Batch [0699]/[3759] Speed: 117.047949 samples/sec accuracy=32.933036 loss=3.075776 lr=0.082730 Epoch[078] Batch [0749]/[3759] Speed: 117.218245 samples/sec accuracy=32.883333 loss=3.077414 lr=0.082720 Epoch[078] Batch [0799]/[3759] Speed: 116.387381 samples/sec accuracy=32.896484 loss=3.075559 lr=0.082710 Epoch[078] Batch [0849]/[3759] Speed: 117.419407 samples/sec accuracy=32.922794 loss=3.076133 lr=0.082701 Epoch[078] Batch [0899]/[3759] Speed: 117.433272 samples/sec accuracy=32.949653 loss=3.074502 lr=0.082691 Epoch[078] Batch [0949]/[3759] Speed: 117.655896 samples/sec accuracy=32.962171 loss=3.071810 lr=0.082681 Epoch[078] Batch [0999]/[3759] Speed: 117.113369 samples/sec accuracy=33.001562 loss=3.071459 lr=0.082671 Epoch[078] Batch [1049]/[3759] Speed: 117.532460 samples/sec accuracy=33.017857 loss=3.069785 lr=0.082662 Epoch[078] Batch [1099]/[3759] Speed: 118.073649 samples/sec accuracy=33.021307 loss=3.069158 lr=0.082652 Epoch[078] Batch [1149]/[3759] Speed: 117.476785 samples/sec accuracy=33.020380 loss=3.066787 lr=0.082642 Epoch[078] Batch [1199]/[3759] Speed: 117.413659 samples/sec accuracy=32.984375 loss=3.068226 lr=0.082632 Epoch[078] Batch [1249]/[3759] Speed: 117.056878 samples/sec accuracy=32.986250 loss=3.068267 lr=0.082622 Epoch[078] Batch [1299]/[3759] Speed: 117.195095 samples/sec accuracy=32.973558 loss=3.067961 lr=0.082613 Epoch[078] Batch [1349]/[3759] Speed: 117.314154 samples/sec accuracy=32.938657 loss=3.070352 lr=0.082603 Epoch[078] Batch [1399]/[3759] Speed: 117.438308 samples/sec accuracy=32.943080 loss=3.068245 lr=0.082593 Epoch[078] Batch [1449]/[3759] Speed: 117.557835 samples/sec accuracy=32.982759 loss=3.068174 lr=0.082583 Epoch[078] Batch [1499]/[3759] Speed: 116.454477 samples/sec accuracy=32.991667 loss=3.066426 lr=0.082574 Epoch[078] Batch [1549]/[3759] Speed: 117.247671 samples/sec accuracy=32.935484 loss=3.069153 lr=0.082564 Epoch[078] Batch [1599]/[3759] Speed: 117.711848 samples/sec accuracy=32.914062 loss=3.070242 lr=0.082554 Epoch[078] Batch [1649]/[3759] Speed: 116.756170 samples/sec accuracy=32.914773 loss=3.070237 lr=0.082544 Epoch[078] Batch [1699]/[3759] Speed: 117.960818 samples/sec accuracy=32.923713 loss=3.070464 lr=0.082534 Epoch[078] Batch [1749]/[3759] Speed: 117.385572 samples/sec accuracy=32.902679 loss=3.069968 lr=0.082525 Epoch[078] Batch [1799]/[3759] Speed: 117.532391 samples/sec accuracy=32.874132 loss=3.071733 lr=0.082515 Epoch[078] Batch [1849]/[3759] Speed: 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loss=3.074498 lr=0.082417 Epoch[078] Batch [2349]/[3759] Speed: 117.897333 samples/sec accuracy=32.773936 loss=3.076102 lr=0.082407 Epoch[078] Batch [2399]/[3759] Speed: 117.274933 samples/sec accuracy=32.772786 loss=3.076468 lr=0.082397 Epoch[078] Batch [2449]/[3759] Speed: 117.383874 samples/sec accuracy=32.792092 loss=3.076050 lr=0.082387 Epoch[078] Batch [2499]/[3759] Speed: 117.137401 samples/sec accuracy=32.768750 loss=3.077123 lr=0.082377 Epoch[078] Batch [2549]/[3759] Speed: 117.513092 samples/sec accuracy=32.757353 loss=3.077095 lr=0.082368 Epoch[078] Batch [2599]/[3759] Speed: 117.058170 samples/sec accuracy=32.740385 loss=3.078195 lr=0.082358 Epoch[078] Batch [2649]/[3759] Speed: 117.244223 samples/sec accuracy=32.737618 loss=3.078594 lr=0.082348 Epoch[078] Batch [2699]/[3759] Speed: 117.736493 samples/sec accuracy=32.740162 loss=3.077383 lr=0.082338 Epoch[078] Batch [2749]/[3759] Speed: 117.152177 samples/sec accuracy=32.712500 loss=3.078118 lr=0.082328 Epoch[078] Batch 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accuracy=32.714423 loss=3.078605 lr=0.082230 Epoch[078] Batch [3299]/[3759] Speed: 117.791643 samples/sec accuracy=32.725852 loss=3.077861 lr=0.082220 Epoch[078] Batch [3349]/[3759] Speed: 117.578959 samples/sec accuracy=32.730410 loss=3.078066 lr=0.082210 Epoch[078] Batch [3399]/[3759] Speed: 118.106024 samples/sec accuracy=32.718290 loss=3.078109 lr=0.082200 Epoch[078] Batch [3449]/[3759] Speed: 117.043738 samples/sec accuracy=32.702446 loss=3.078585 lr=0.082190 Epoch[078] Batch [3499]/[3759] Speed: 117.752206 samples/sec accuracy=32.698661 loss=3.078543 lr=0.082180 Epoch[078] Batch [3549]/[3759] Speed: 117.221331 samples/sec accuracy=32.709947 loss=3.078107 lr=0.082171 Epoch[078] Batch [3599]/[3759] Speed: 117.222285 samples/sec accuracy=32.720920 loss=3.077798 lr=0.082161 Epoch[078] Batch [3649]/[3759] Speed: 116.221849 samples/sec accuracy=32.726027 loss=3.077236 lr=0.082151 Epoch[078] Batch [3699]/[3759] Speed: 117.525503 samples/sec accuracy=32.712838 loss=3.078120 lr=0.082141 Epoch[078] Batch [3749]/[3759] Speed: 120.555576 samples/sec accuracy=32.700000 loss=3.078499 lr=0.082131 Batch [0049]/[0303]: acc-top1=34.375000 acc-top5=60.312500 Batch [0099]/[0303]: acc-top1=30.828125 acc-top5=56.500000 Batch [0149]/[0303]: acc-top1=32.406250 acc-top5=57.770833 Batch [0199]/[0303]: acc-top1=35.273438 acc-top5=60.500000 Batch [0249]/[0303]: acc-top1=34.437500 acc-top5=60.193750 Batch [0299]/[0303]: acc-top1=33.989583 acc-top5=60.348958 [Epoch 078] training: accuracy=32.700685 loss=3.078437 [Epoch 078] speed: 116 samples/sec time cost: 2179.376678 [Epoch 078] validation: acc-top1=33.931518 acc-top5=60.292904 loss=3.070862 Epoch[079] Batch [0049]/[3760] Speed: 86.690677 samples/sec accuracy=34.656250 loss=2.993677 lr=0.082119 Epoch[079] Batch [0099]/[3760] Speed: 117.464484 samples/sec accuracy=34.125000 loss=2.996643 lr=0.082109 Epoch[079] Batch [0149]/[3760] Speed: 117.231657 samples/sec accuracy=34.114583 loss=3.013979 lr=0.082100 Epoch[079] Batch [0199]/[3760] 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accuracy=33.680288 loss=3.040021 lr=0.082001 Epoch[079] Batch [0699]/[3760] Speed: 117.908752 samples/sec accuracy=33.654018 loss=3.039283 lr=0.081991 Epoch[079] Batch [0749]/[3760] Speed: 117.694677 samples/sec accuracy=33.554167 loss=3.043052 lr=0.081981 Epoch[079] Batch [0799]/[3760] Speed: 117.768603 samples/sec accuracy=33.619141 loss=3.042614 lr=0.081971 Epoch[079] Batch [0849]/[3760] Speed: 116.252080 samples/sec accuracy=33.568015 loss=3.046011 lr=0.081961 Epoch[079] Batch [0899]/[3760] Speed: 117.742216 samples/sec accuracy=33.579861 loss=3.047256 lr=0.081951 Epoch[079] Batch [0949]/[3760] Speed: 117.295813 samples/sec accuracy=33.500000 loss=3.045979 lr=0.081941 Epoch[079] Batch [0999]/[3760] Speed: 117.916437 samples/sec accuracy=33.421875 loss=3.048022 lr=0.081931 Epoch[079] Batch [1049]/[3760] Speed: 117.256366 samples/sec accuracy=33.383929 loss=3.047856 lr=0.081921 Epoch[079] Batch [1099]/[3760] Speed: 117.833703 samples/sec accuracy=33.350852 loss=3.049077 lr=0.081911 Epoch[079] Batch [1149]/[3760] Speed: 117.597445 samples/sec accuracy=33.316576 loss=3.051190 lr=0.081901 Epoch[079] Batch [1199]/[3760] Speed: 116.964081 samples/sec accuracy=33.234375 loss=3.055003 lr=0.081891 Epoch[079] Batch [1249]/[3760] Speed: 117.827635 samples/sec accuracy=33.210000 loss=3.055693 lr=0.081882 Epoch[079] Batch [1299]/[3760] Speed: 117.365752 samples/sec accuracy=33.207933 loss=3.054222 lr=0.081872 Epoch[079] Batch [1349]/[3760] Speed: 116.728649 samples/sec accuracy=33.159722 loss=3.056364 lr=0.081862 Epoch[079] Batch [1399]/[3760] Speed: 116.662203 samples/sec accuracy=33.135045 loss=3.058350 lr=0.081852 Epoch[079] Batch [1449]/[3760] Speed: 118.191292 samples/sec accuracy=33.145474 loss=3.056967 lr=0.081842 Epoch[079] Batch [1499]/[3760] Speed: 118.312589 samples/sec accuracy=33.135417 loss=3.057597 lr=0.081832 Epoch[079] Batch [1549]/[3760] Speed: 117.508135 samples/sec accuracy=33.101815 loss=3.057561 lr=0.081822 Epoch[079] Batch [1599]/[3760] Speed: 116.791192 samples/sec accuracy=33.087891 loss=3.056648 lr=0.081812 Epoch[079] Batch [1649]/[3760] Speed: 117.282421 samples/sec accuracy=33.118371 loss=3.055882 lr=0.081802 Epoch[079] Batch [1699]/[3760] Speed: 117.411845 samples/sec accuracy=33.092831 loss=3.057311 lr=0.081792 Epoch[079] Batch [1749]/[3760] Speed: 117.655599 samples/sec accuracy=33.066964 loss=3.058877 lr=0.081782 Epoch[079] Batch [1799]/[3760] Speed: 117.278668 samples/sec accuracy=33.034722 loss=3.060372 lr=0.081772 Epoch[079] Batch [1849]/[3760] Speed: 117.961076 samples/sec accuracy=33.020270 loss=3.062872 lr=0.081762 Epoch[079] Batch [1899]/[3760] Speed: 117.130266 samples/sec accuracy=32.981086 loss=3.065016 lr=0.081752 Epoch[079] Batch [1949]/[3760] Speed: 117.059846 samples/sec accuracy=32.969551 loss=3.065960 lr=0.081742 Epoch[079] Batch [1999]/[3760] Speed: 118.449047 samples/sec accuracy=32.942187 loss=3.067851 lr=0.081732 Epoch[079] Batch [2049]/[3760] Speed: 116.702512 samples/sec accuracy=32.903201 loss=3.068151 lr=0.081722 Epoch[079] Batch [2099]/[3760] Speed: 117.074208 samples/sec accuracy=32.894345 loss=3.069152 lr=0.081712 Epoch[079] Batch [2149]/[3760] Speed: 116.979058 samples/sec accuracy=32.911337 loss=3.068547 lr=0.081702 Epoch[079] Batch [2199]/[3760] Speed: 117.552629 samples/sec accuracy=32.933949 loss=3.068256 lr=0.081692 Epoch[079] Batch [2249]/[3760] Speed: 117.484634 samples/sec accuracy=32.925000 loss=3.068885 lr=0.081682 Epoch[079] Batch [2299]/[3760] Speed: 117.279850 samples/sec accuracy=32.938859 loss=3.069131 lr=0.081672 Epoch[079] Batch [2349]/[3760] Speed: 118.058245 samples/sec accuracy=32.913564 loss=3.071099 lr=0.081662 Epoch[079] Batch [2399]/[3760] Speed: 117.025761 samples/sec accuracy=32.904948 loss=3.072235 lr=0.081652 Epoch[079] Batch [2449]/[3760] Speed: 117.584805 samples/sec accuracy=32.909439 loss=3.072167 lr=0.081642 Epoch[079] Batch [2499]/[3760] Speed: 117.345269 samples/sec accuracy=32.853125 loss=3.074179 lr=0.081632 Epoch[079] Batch [2549]/[3760] Speed: 117.297976 samples/sec accuracy=32.866422 loss=3.073250 lr=0.081622 Epoch[079] Batch [2599]/[3760] Speed: 117.673319 samples/sec accuracy=32.858173 loss=3.072530 lr=0.081612 Epoch[079] Batch [2649]/[3760] Speed: 117.592739 samples/sec accuracy=32.831958 loss=3.074415 lr=0.081603 Epoch[079] Batch [2699]/[3760] Speed: 118.099305 samples/sec accuracy=32.812500 loss=3.075235 lr=0.081593 Epoch[079] Batch [2749]/[3760] Speed: 117.004768 samples/sec accuracy=32.812500 loss=3.075777 lr=0.081583 Epoch[079] Batch [2799]/[3760] Speed: 116.558247 samples/sec accuracy=32.818638 loss=3.075849 lr=0.081573 Epoch[079] Batch [2849]/[3760] Speed: 117.336975 samples/sec accuracy=32.825110 loss=3.075307 lr=0.081563 Epoch[079] Batch [2899]/[3760] Speed: 117.444825 samples/sec accuracy=32.819504 loss=3.076199 lr=0.081553 Epoch[079] Batch [2949]/[3760] Speed: 117.512964 samples/sec accuracy=32.825212 loss=3.075673 lr=0.081542 Epoch[079] Batch [2999]/[3760] Speed: 116.798609 samples/sec accuracy=32.810938 loss=3.076353 lr=0.081532 Epoch[079] Batch [3049]/[3760] Speed: 117.535458 samples/sec accuracy=32.793545 loss=3.077140 lr=0.081522 Epoch[079] Batch [3099]/[3760] Speed: 117.731630 samples/sec accuracy=32.784274 loss=3.077182 lr=0.081512 Epoch[079] Batch [3149]/[3760] Speed: 117.836992 samples/sec accuracy=32.765873 loss=3.077689 lr=0.081502 Epoch[079] Batch [3199]/[3760] Speed: 116.946657 samples/sec accuracy=32.768066 loss=3.077943 lr=0.081492 Epoch[079] Batch [3249]/[3760] Speed: 117.483608 samples/sec accuracy=32.761058 loss=3.077509 lr=0.081482 Epoch[079] Batch [3299]/[3760] Speed: 117.681010 samples/sec accuracy=32.762311 loss=3.077513 lr=0.081472 Epoch[079] Batch [3349]/[3760] Speed: 117.195106 samples/sec accuracy=32.768190 loss=3.077516 lr=0.081462 Epoch[079] Batch [3399]/[3760] Speed: 116.879782 samples/sec accuracy=32.783548 loss=3.077371 lr=0.081452 Epoch[079] Batch [3449]/[3760] Speed: 117.611239 samples/sec accuracy=32.788496 loss=3.077194 lr=0.081442 Epoch[079] Batch [3499]/[3760] Speed: 117.212084 samples/sec accuracy=32.787054 loss=3.077194 lr=0.081432 Epoch[079] Batch [3549]/[3760] Speed: 117.224140 samples/sec accuracy=32.760563 loss=3.077317 lr=0.081422 Epoch[079] Batch [3599]/[3760] Speed: 118.277620 samples/sec accuracy=32.757378 loss=3.077384 lr=0.081412 Epoch[079] Batch [3649]/[3760] Speed: 117.303413 samples/sec accuracy=32.753425 loss=3.077764 lr=0.081402 Epoch[079] Batch [3699]/[3760] Speed: 117.740497 samples/sec accuracy=32.747044 loss=3.077712 lr=0.081392 Epoch[079] Batch [3749]/[3760] Speed: 120.477364 samples/sec accuracy=32.734167 loss=3.077741 lr=0.081382 Batch [0049]/[0303]: acc-top1=34.281250 acc-top5=59.562500 Batch [0099]/[0303]: acc-top1=30.671875 acc-top5=56.500000 Batch [0149]/[0303]: acc-top1=31.875000 acc-top5=57.520833 Batch [0199]/[0303]: acc-top1=34.476562 acc-top5=59.859375 Batch [0249]/[0303]: acc-top1=33.893750 acc-top5=59.887500 Batch [0299]/[0303]: acc-top1=33.708333 acc-top5=59.911458 [Epoch 079] training: accuracy=32.732713 loss=3.077738 [Epoch 079] speed: 116 samples/sec time cost: 2177.728354 [Epoch 079] validation: acc-top1=33.616955 acc-top5=59.864893 loss=3.144302 Epoch[080] Batch [0049]/[3760] Speed: 88.130295 samples/sec accuracy=33.468750 loss=3.032818 lr=0.081370 Epoch[080] Batch [0099]/[3760] Speed: 117.976207 samples/sec accuracy=34.187500 loss=2.996118 lr=0.081360 Epoch[080] Batch [0149]/[3760] Speed: 118.013964 samples/sec accuracy=34.000000 loss=3.001140 lr=0.081350 Epoch[080] Batch [0199]/[3760] Speed: 117.159057 samples/sec accuracy=33.656250 loss=3.021903 lr=0.081340 Epoch[080] Batch [0249]/[3760] Speed: 117.937766 samples/sec accuracy=33.287500 loss=3.038829 lr=0.081330 Epoch[080] Batch [0299]/[3760] Speed: 117.215171 samples/sec accuracy=33.317708 loss=3.036219 lr=0.081320 Epoch[080] Batch [0349]/[3760] Speed: 118.802598 samples/sec accuracy=33.308036 loss=3.040804 lr=0.081310 Epoch[080] Batch [0399]/[3760] Speed: 117.544022 samples/sec accuracy=33.335938 loss=3.041637 lr=0.081300 Epoch[080] Batch [0449]/[3760] Speed: 117.495894 samples/sec accuracy=33.267361 loss=3.044106 lr=0.081290 Epoch[080] Batch [0499]/[3760] Speed: 117.372089 samples/sec accuracy=33.046875 loss=3.050819 lr=0.081280 Epoch[080] Batch [0549]/[3760] Speed: 117.468202 samples/sec accuracy=33.173295 loss=3.047933 lr=0.081270 Epoch[080] Batch [0599]/[3760] Speed: 118.197615 samples/sec accuracy=33.138021 loss=3.047152 lr=0.081259 Epoch[080] Batch [0649]/[3760] Speed: 118.240590 samples/sec accuracy=33.144231 loss=3.045300 lr=0.081249 Epoch[080] Batch [0699]/[3760] Speed: 117.324050 samples/sec accuracy=32.984375 loss=3.052642 lr=0.081239 Epoch[080] Batch [0749]/[3760] Speed: 117.073562 samples/sec accuracy=32.918750 loss=3.053472 lr=0.081229 Epoch[080] Batch [0799]/[3760] Speed: 117.936813 samples/sec accuracy=32.957031 loss=3.053496 lr=0.081219 Epoch[080] Batch [0849]/[3760] Speed: 117.753548 samples/sec accuracy=32.954044 loss=3.054433 lr=0.081209 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accuracy=32.831250 loss=3.069488 lr=0.080825 Epoch[080] Batch [2799]/[3760] Speed: 117.335913 samples/sec accuracy=32.808036 loss=3.070222 lr=0.080815 Epoch[080] Batch [2849]/[3760] Speed: 117.502832 samples/sec accuracy=32.810307 loss=3.070008 lr=0.080804 Epoch[080] Batch [2899]/[3760] Speed: 117.672823 samples/sec accuracy=32.808190 loss=3.070440 lr=0.080794 Epoch[080] Batch [2949]/[3760] Speed: 117.281442 samples/sec accuracy=32.800318 loss=3.071173 lr=0.080784 Epoch[080] Batch [2999]/[3760] Speed: 117.424743 samples/sec accuracy=32.802604 loss=3.071166 lr=0.080774 Epoch[080] Batch [3049]/[3760] Speed: 117.324344 samples/sec accuracy=32.762295 loss=3.072765 lr=0.080764 Epoch[080] Batch [3099]/[3760] Speed: 117.609633 samples/sec accuracy=32.753528 loss=3.072978 lr=0.080754 Epoch[080] Batch [3149]/[3760] Speed: 117.935401 samples/sec accuracy=32.739087 loss=3.073417 lr=0.080743 Epoch[080] Batch [3199]/[3760] Speed: 117.921188 samples/sec accuracy=32.750488 loss=3.072867 lr=0.080733 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116.695068 samples/sec accuracy=32.779561 loss=3.074139 lr=0.080631 Epoch[080] Batch [3749]/[3760] Speed: 120.790200 samples/sec accuracy=32.779167 loss=3.073776 lr=0.080621 Batch [0049]/[0303]: acc-top1=32.593750 acc-top5=58.843750 Batch [0099]/[0303]: acc-top1=29.531250 acc-top5=56.718750 Batch [0149]/[0303]: acc-top1=32.052083 acc-top5=58.041667 Batch [0199]/[0303]: acc-top1=35.328125 acc-top5=60.765625 Batch [0249]/[0303]: acc-top1=34.181250 acc-top5=60.487500 Batch [0299]/[0303]: acc-top1=33.187500 acc-top5=60.213542 [Epoch 080] training: accuracy=32.778424 loss=3.073921 [Epoch 080] speed: 117 samples/sec time cost: 2175.733698 [Epoch 080] validation: acc-top1=33.188944 acc-top5=60.210396 loss=3.181545 Epoch[081] Batch [0049]/[3759] Speed: 85.430793 samples/sec accuracy=32.968750 loss=3.003276 lr=0.080609 Epoch[081] Batch [0099]/[3759] Speed: 116.884476 samples/sec accuracy=33.703125 loss=2.993372 lr=0.080599 Epoch[081] Batch [0149]/[3759] Speed: 117.099313 samples/sec 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accuracy=33.057500 loss=3.061213 lr=0.080107 Epoch[081] Batch [2549]/[3759] Speed: 117.042905 samples/sec accuracy=33.040441 loss=3.062682 lr=0.080097 Epoch[081] Batch [2599]/[3759] Speed: 117.258179 samples/sec accuracy=33.039062 loss=3.062818 lr=0.080086 Epoch[081] Batch [2649]/[3759] Speed: 116.718230 samples/sec accuracy=33.048349 loss=3.062668 lr=0.080076 Epoch[081] Batch [2699]/[3759] Speed: 117.268746 samples/sec accuracy=33.041088 loss=3.062194 lr=0.080066 Epoch[081] Batch [2749]/[3759] Speed: 117.182138 samples/sec accuracy=33.029545 loss=3.062192 lr=0.080055 Epoch[081] Batch [2799]/[3759] Speed: 117.124822 samples/sec accuracy=33.010603 loss=3.063096 lr=0.080045 Epoch[081] Batch [2849]/[3759] Speed: 118.231504 samples/sec accuracy=33.042763 loss=3.061527 lr=0.080035 Epoch[081] Batch [2899]/[3759] Speed: 118.238101 samples/sec accuracy=33.038793 loss=3.062072 lr=0.080024 Epoch[081] Batch [2949]/[3759] Speed: 117.843775 samples/sec accuracy=33.021186 loss=3.061992 lr=0.080014 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117.522974 samples/sec accuracy=32.965127 loss=3.065633 lr=0.079911 Epoch[081] Batch [3499]/[3759] Speed: 118.062530 samples/sec accuracy=32.966518 loss=3.065708 lr=0.079900 Epoch[081] Batch [3549]/[3759] Speed: 117.589225 samples/sec accuracy=32.943662 loss=3.066537 lr=0.079890 Epoch[081] Batch [3599]/[3759] Speed: 117.100126 samples/sec accuracy=32.931424 loss=3.067402 lr=0.079880 Epoch[081] Batch [3649]/[3759] Speed: 117.137734 samples/sec accuracy=32.939212 loss=3.067676 lr=0.079869 Epoch[081] Batch [3699]/[3759] Speed: 117.396951 samples/sec accuracy=32.945524 loss=3.066918 lr=0.079859 Epoch[081] Batch [3749]/[3759] Speed: 120.535158 samples/sec accuracy=32.955417 loss=3.066303 lr=0.079849 Batch [0049]/[0303]: acc-top1=33.218750 acc-top5=58.562500 Batch [0099]/[0303]: acc-top1=29.765625 acc-top5=55.515625 Batch [0149]/[0303]: acc-top1=31.343750 acc-top5=56.781250 Batch [0199]/[0303]: acc-top1=33.406250 acc-top5=59.210938 Batch [0249]/[0303]: acc-top1=32.656250 acc-top5=58.837500 Batch [0299]/[0303]: acc-top1=32.869792 acc-top5=59.322917 [Epoch 081] training: accuracy=32.955074 loss=3.066444 [Epoch 081] speed: 116 samples/sec time cost: 2178.467669 [Epoch 081] validation: acc-top1=32.853754 acc-top5=59.313119 loss=3.194040 Epoch[082] Batch [0049]/[3760] Speed: 87.481642 samples/sec accuracy=33.187500 loss=3.014494 lr=0.079837 Epoch[082] Batch [0099]/[3760] Speed: 116.704607 samples/sec accuracy=33.859375 loss=3.006474 lr=0.079826 Epoch[082] Batch [0149]/[3760] Speed: 117.672943 samples/sec accuracy=33.510417 loss=3.017799 lr=0.079816 Epoch[082] Batch [0199]/[3760] Speed: 115.978136 samples/sec accuracy=33.265625 loss=3.028986 lr=0.079805 Epoch[082] Batch [0249]/[3760] Speed: 117.546326 samples/sec accuracy=33.125000 loss=3.035980 lr=0.079795 Epoch[082] Batch [0299]/[3760] Speed: 117.370672 samples/sec accuracy=33.427083 loss=3.028682 lr=0.079785 Epoch[082] Batch [0349]/[3760] Speed: 118.921036 samples/sec accuracy=33.361607 loss=3.035165 lr=0.079774 Epoch[082] 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loss=3.056767 lr=0.079086 Epoch[082] Batch [3699]/[3760] Speed: 118.555087 samples/sec accuracy=33.065456 loss=3.056738 lr=0.079076 Epoch[082] Batch [3749]/[3760] Speed: 120.097114 samples/sec accuracy=33.070000 loss=3.056519 lr=0.079065 Batch [0049]/[0303]: acc-top1=33.593750 acc-top5=59.125000 Batch [0099]/[0303]: acc-top1=31.921875 acc-top5=58.359375 Batch [0149]/[0303]: acc-top1=33.687500 acc-top5=59.791667 Batch [0199]/[0303]: acc-top1=36.101562 acc-top5=61.859375 Batch [0249]/[0303]: acc-top1=34.950000 acc-top5=61.575000 Batch [0299]/[0303]: acc-top1=34.458333 acc-top5=61.421875 [Epoch 082] training: accuracy=33.077211 loss=3.056504 [Epoch 082] speed: 116 samples/sec time cost: 2175.890413 [Epoch 082] validation: acc-top1=34.493606 acc-top5=61.458333 loss=3.054896 Epoch[083] Batch [0049]/[3760] Speed: 88.194249 samples/sec accuracy=33.718750 loss=3.052630 lr=0.079053 Epoch[083] Batch [0099]/[3760] Speed: 117.348599 samples/sec accuracy=33.546875 loss=3.018403 lr=0.079042 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loss=3.042540 lr=0.078842 Epoch[083] Batch [1099]/[3760] Speed: 117.876357 samples/sec accuracy=33.509943 loss=3.041247 lr=0.078832 Epoch[083] Batch [1149]/[3760] Speed: 117.374699 samples/sec accuracy=33.527174 loss=3.041673 lr=0.078821 Epoch[083] Batch [1199]/[3760] Speed: 117.467504 samples/sec accuracy=33.557292 loss=3.041737 lr=0.078811 Epoch[083] Batch [1249]/[3760] Speed: 117.883412 samples/sec accuracy=33.503750 loss=3.040736 lr=0.078800 Epoch[083] Batch [1299]/[3760] Speed: 117.498593 samples/sec accuracy=33.510817 loss=3.042593 lr=0.078790 Epoch[083] Batch [1349]/[3760] Speed: 116.825629 samples/sec accuracy=33.516204 loss=3.044771 lr=0.078779 Epoch[083] Batch [1399]/[3760] Speed: 117.761522 samples/sec accuracy=33.506696 loss=3.046125 lr=0.078769 Epoch[083] Batch [1449]/[3760] Speed: 117.271594 samples/sec accuracy=33.495690 loss=3.047104 lr=0.078758 Epoch[083] Batch [1499]/[3760] Speed: 117.282892 samples/sec accuracy=33.435417 loss=3.048849 lr=0.078747 Epoch[083] Batch 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accuracy=33.414062 loss=3.051507 lr=0.078642 Epoch[083] Batch [2049]/[3760] Speed: 117.642377 samples/sec accuracy=33.365854 loss=3.053441 lr=0.078631 Epoch[083] Batch [2099]/[3760] Speed: 117.487719 samples/sec accuracy=33.343006 loss=3.054049 lr=0.078621 Epoch[083] Batch [2149]/[3760] Speed: 117.015114 samples/sec accuracy=33.361919 loss=3.054344 lr=0.078610 Epoch[083] Batch [2199]/[3760] Speed: 117.191695 samples/sec accuracy=33.321733 loss=3.056732 lr=0.078600 Epoch[083] Batch [2249]/[3760] Speed: 117.302739 samples/sec accuracy=33.300694 loss=3.057122 lr=0.078589 Epoch[083] Batch [2299]/[3760] Speed: 118.694050 samples/sec accuracy=33.297554 loss=3.057051 lr=0.078578 Epoch[083] Batch [2349]/[3760] Speed: 118.076987 samples/sec accuracy=33.287899 loss=3.057102 lr=0.078568 Epoch[083] Batch [2399]/[3760] Speed: 117.310238 samples/sec accuracy=33.285156 loss=3.057463 lr=0.078557 Epoch[083] Batch [2449]/[3760] Speed: 117.205461 samples/sec accuracy=33.261480 loss=3.058833 lr=0.078547 Epoch[083] Batch [2499]/[3760] Speed: 116.645334 samples/sec accuracy=33.250000 loss=3.059455 lr=0.078536 Epoch[083] Batch [2549]/[3760] Speed: 117.432634 samples/sec accuracy=33.251838 loss=3.058037 lr=0.078525 Epoch[083] Batch [2599]/[3760] Speed: 116.683725 samples/sec accuracy=33.243389 loss=3.058599 lr=0.078515 Epoch[083] Batch [2649]/[3760] Speed: 117.670384 samples/sec accuracy=33.230542 loss=3.058228 lr=0.078504 Epoch[083] Batch [2699]/[3760] Speed: 117.809949 samples/sec accuracy=33.231481 loss=3.058241 lr=0.078494 Epoch[083] Batch [2749]/[3760] Speed: 117.918558 samples/sec accuracy=33.251705 loss=3.056824 lr=0.078483 Epoch[083] Batch [2799]/[3760] Speed: 117.291239 samples/sec accuracy=33.271205 loss=3.056504 lr=0.078472 Epoch[083] Batch [2849]/[3760] Speed: 117.109698 samples/sec accuracy=33.249452 loss=3.057069 lr=0.078462 Epoch[083] Batch [2899]/[3760] Speed: 117.303701 samples/sec accuracy=33.247845 loss=3.057141 lr=0.078451 Epoch[083] Batch [2949]/[3760] Speed: 118.064088 samples/sec accuracy=33.256356 loss=3.056860 lr=0.078441 Epoch[083] Batch [2999]/[3760] Speed: 117.903736 samples/sec accuracy=33.259896 loss=3.057368 lr=0.078430 Epoch[083] Batch [3049]/[3760] Speed: 118.210392 samples/sec accuracy=33.273566 loss=3.056665 lr=0.078419 Epoch[083] Batch [3099]/[3760] Speed: 117.699572 samples/sec accuracy=33.268145 loss=3.056426 lr=0.078409 Epoch[083] Batch [3149]/[3760] Speed: 118.214911 samples/sec accuracy=33.269841 loss=3.055740 lr=0.078398 Epoch[083] Batch [3199]/[3760] Speed: 117.882641 samples/sec accuracy=33.275879 loss=3.055487 lr=0.078388 Epoch[083] Batch [3249]/[3760] Speed: 117.067848 samples/sec accuracy=33.251442 loss=3.055504 lr=0.078377 Epoch[083] Batch [3299]/[3760] Speed: 117.817594 samples/sec accuracy=33.235795 loss=3.055639 lr=0.078366 Epoch[083] Batch [3349]/[3760] Speed: 117.598056 samples/sec accuracy=33.237407 loss=3.055220 lr=0.078356 Epoch[083] Batch [3399]/[3760] Speed: 117.550557 samples/sec accuracy=33.223805 loss=3.055416 lr=0.078345 Epoch[083] Batch [3449]/[3760] Speed: 117.229205 samples/sec accuracy=33.221467 loss=3.055740 lr=0.078334 Epoch[083] Batch [3499]/[3760] Speed: 117.645785 samples/sec accuracy=33.232589 loss=3.055539 lr=0.078324 Epoch[083] Batch [3549]/[3760] Speed: 117.747980 samples/sec accuracy=33.233715 loss=3.055462 lr=0.078313 Epoch[083] Batch [3599]/[3760] Speed: 117.874172 samples/sec accuracy=33.251302 loss=3.054958 lr=0.078303 Epoch[083] Batch [3649]/[3760] Speed: 117.437378 samples/sec accuracy=33.261986 loss=3.054788 lr=0.078292 Epoch[083] Batch [3699]/[3760] Speed: 118.660291 samples/sec accuracy=33.267736 loss=3.054387 lr=0.078281 Epoch[083] Batch [3749]/[3760] Speed: 120.754489 samples/sec accuracy=33.258333 loss=3.054840 lr=0.078271 Batch [0049]/[0303]: acc-top1=31.406250 acc-top5=54.468750 Batch [0099]/[0303]: acc-top1=29.250000 acc-top5=53.234375 Batch [0149]/[0303]: acc-top1=29.822917 acc-top5=54.552083 Batch [0199]/[0303]: acc-top1=32.210938 acc-top5=56.773438 Batch [0249]/[0303]: acc-top1=30.993750 acc-top5=55.925000 Batch [0299]/[0303]: acc-top1=30.723958 acc-top5=56.119792 [Epoch 083] training: accuracy=33.250083 loss=3.055384 [Epoch 083] speed: 117 samples/sec time cost: 2176.077933 [Epoch 083] validation: acc-top1=30.744637 acc-top5=56.146865 loss=3.667589 Epoch[084] Batch [0049]/[3759] Speed: 87.981405 samples/sec accuracy=32.687500 loss=3.023841 lr=0.078258 Epoch[084] Batch [0099]/[3759] Speed: 117.554726 samples/sec accuracy=32.687500 loss=3.039896 lr=0.078247 Epoch[084] Batch [0149]/[3759] Speed: 117.477304 samples/sec accuracy=33.447917 loss=3.014438 lr=0.078237 Epoch[084] Batch [0199]/[3759] Speed: 117.009389 samples/sec accuracy=33.328125 loss=3.019720 lr=0.078226 Epoch[084] Batch [0249]/[3759] Speed: 117.228898 samples/sec accuracy=33.362500 loss=3.019449 lr=0.078215 Epoch[084] Batch [0299]/[3759] Speed: 117.418458 samples/sec accuracy=33.536458 loss=3.018579 lr=0.078205 Epoch[084] Batch [0349]/[3759] Speed: 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accuracy=33.298214 loss=3.044733 lr=0.077895 Epoch[084] Batch [1799]/[3759] Speed: 117.973566 samples/sec accuracy=33.294271 loss=3.044834 lr=0.077884 Epoch[084] Batch [1849]/[3759] Speed: 116.756844 samples/sec accuracy=33.337838 loss=3.042865 lr=0.077874 Epoch[084] Batch [1899]/[3759] Speed: 117.222779 samples/sec accuracy=33.309211 loss=3.043668 lr=0.077863 Epoch[084] Batch [1949]/[3759] Speed: 117.262619 samples/sec accuracy=33.295673 loss=3.043646 lr=0.077852 Epoch[084] Batch [1999]/[3759] Speed: 117.585282 samples/sec accuracy=33.283594 loss=3.044674 lr=0.077842 Epoch[084] Batch [2049]/[3759] Speed: 117.937566 samples/sec accuracy=33.303354 loss=3.044093 lr=0.077831 Epoch[084] Batch [2099]/[3759] Speed: 117.361130 samples/sec accuracy=33.290923 loss=3.044443 lr=0.077820 Epoch[084] Batch [2149]/[3759] Speed: 118.597550 samples/sec accuracy=33.296512 loss=3.043259 lr=0.077809 Epoch[084] Batch [2199]/[3759] Speed: 117.233488 samples/sec accuracy=33.289773 loss=3.044543 lr=0.077799 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[3649]/[3759] Speed: 117.703891 samples/sec accuracy=33.208048 loss=3.047615 lr=0.077487 Epoch[084] Batch [3699]/[3759] Speed: 117.491641 samples/sec accuracy=33.213682 loss=3.047195 lr=0.077476 Epoch[084] Batch [3749]/[3759] Speed: 120.508626 samples/sec accuracy=33.194167 loss=3.047894 lr=0.077465 Batch [0049]/[0303]: acc-top1=32.375000 acc-top5=59.000000 Batch [0099]/[0303]: acc-top1=31.171875 acc-top5=58.843750 Batch [0149]/[0303]: acc-top1=32.718750 acc-top5=59.583333 Batch [0199]/[0303]: acc-top1=35.679688 acc-top5=61.664063 Batch [0249]/[0303]: acc-top1=35.581250 acc-top5=62.037500 Batch [0299]/[0303]: acc-top1=35.041667 acc-top5=61.807292 [Epoch 084] training: accuracy=33.194916 loss=3.048067 [Epoch 084] speed: 116 samples/sec time cost: 2174.228709 [Epoch 084] validation: acc-top1=34.973185 acc-top5=61.721328 loss=3.039829 Epoch[085] Batch [0049]/[3760] Speed: 87.509220 samples/sec accuracy=35.406250 loss=2.944578 lr=0.077453 Epoch[085] Batch [0099]/[3760] Speed: 118.011770 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accuracy=33.900000 loss=3.008575 lr=0.077139 Epoch[085] Batch [1549]/[3760] Speed: 117.373908 samples/sec accuracy=33.820565 loss=3.012213 lr=0.077129 Epoch[085] Batch [1599]/[3760] Speed: 118.044730 samples/sec accuracy=33.812500 loss=3.013260 lr=0.077118 Epoch[085] Batch [1649]/[3760] Speed: 117.706843 samples/sec accuracy=33.805871 loss=3.015447 lr=0.077107 Epoch[085] Batch [1699]/[3760] Speed: 117.281486 samples/sec accuracy=33.828125 loss=3.016315 lr=0.077096 Epoch[085] Batch [1749]/[3760] Speed: 117.354959 samples/sec accuracy=33.855357 loss=3.016014 lr=0.077085 Epoch[085] Batch [1799]/[3760] Speed: 117.260794 samples/sec accuracy=33.850694 loss=3.015778 lr=0.077074 Epoch[085] Batch [1849]/[3760] Speed: 117.670591 samples/sec accuracy=33.843750 loss=3.015808 lr=0.077064 Epoch[085] Batch [1899]/[3760] Speed: 116.874738 samples/sec accuracy=33.853618 loss=3.015894 lr=0.077053 Epoch[085] Batch [1949]/[3760] Speed: 117.531679 samples/sec accuracy=33.815705 loss=3.018109 lr=0.077042 Epoch[085] Batch [1999]/[3760] Speed: 116.705119 samples/sec accuracy=33.789062 loss=3.019131 lr=0.077031 Epoch[085] Batch [2049]/[3760] Speed: 117.636384 samples/sec accuracy=33.803354 loss=3.018965 lr=0.077020 Epoch[085] Batch [2099]/[3760] Speed: 117.701591 samples/sec accuracy=33.787946 loss=3.020653 lr=0.077009 Epoch[085] Batch [2149]/[3760] Speed: 117.512374 samples/sec accuracy=33.787791 loss=3.019601 lr=0.076998 Epoch[085] Batch [2199]/[3760] Speed: 117.431784 samples/sec accuracy=33.789773 loss=3.019007 lr=0.076988 Epoch[085] Batch [2249]/[3760] Speed: 118.176645 samples/sec accuracy=33.753472 loss=3.020153 lr=0.076977 Epoch[085] Batch [2299]/[3760] Speed: 117.785283 samples/sec accuracy=33.790761 loss=3.018872 lr=0.076966 Epoch[085] Batch [2349]/[3760] Speed: 116.974409 samples/sec accuracy=33.769947 loss=3.020401 lr=0.076955 Epoch[085] Batch [2399]/[3760] Speed: 117.485316 samples/sec accuracy=33.750651 loss=3.020368 lr=0.076944 Epoch[085] Batch [2449]/[3760] Speed: 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loss=3.022385 lr=0.076835 Epoch[085] Batch [2949]/[3760] Speed: 117.205910 samples/sec accuracy=33.726695 loss=3.023019 lr=0.076824 Epoch[085] Batch [2999]/[3760] Speed: 117.475335 samples/sec accuracy=33.723958 loss=3.023517 lr=0.076814 Epoch[085] Batch [3049]/[3760] Speed: 118.036273 samples/sec accuracy=33.731557 loss=3.023518 lr=0.076803 Epoch[085] Batch [3099]/[3760] Speed: 117.204463 samples/sec accuracy=33.714214 loss=3.024596 lr=0.076792 Epoch[085] Batch [3149]/[3760] Speed: 118.178348 samples/sec accuracy=33.688492 loss=3.025915 lr=0.076781 Epoch[085] Batch [3199]/[3760] Speed: 117.970146 samples/sec accuracy=33.676758 loss=3.027101 lr=0.076770 Epoch[085] Batch [3249]/[3760] Speed: 116.842766 samples/sec accuracy=33.666827 loss=3.028883 lr=0.076759 Epoch[085] Batch [3299]/[3760] Speed: 117.482082 samples/sec accuracy=33.651515 loss=3.029017 lr=0.076748 Epoch[085] Batch [3349]/[3760] Speed: 117.297449 samples/sec accuracy=33.636194 loss=3.030242 lr=0.076737 Epoch[085] Batch [3399]/[3760] Speed: 116.460666 samples/sec accuracy=33.631893 loss=3.030129 lr=0.076726 Epoch[085] Batch [3449]/[3760] Speed: 117.889464 samples/sec accuracy=33.626812 loss=3.030515 lr=0.076716 Epoch[085] Batch [3499]/[3760] Speed: 117.299215 samples/sec accuracy=33.625893 loss=3.030333 lr=0.076705 Epoch[085] Batch [3549]/[3760] Speed: 117.238147 samples/sec accuracy=33.635563 loss=3.030207 lr=0.076694 Epoch[085] Batch [3599]/[3760] Speed: 117.469313 samples/sec accuracy=33.646701 loss=3.030035 lr=0.076683 Epoch[085] Batch [3649]/[3760] Speed: 118.316462 samples/sec accuracy=33.639555 loss=3.030749 lr=0.076672 Epoch[085] Batch [3699]/[3760] Speed: 117.664758 samples/sec accuracy=33.630912 loss=3.030890 lr=0.076661 Epoch[085] Batch [3749]/[3760] Speed: 120.822972 samples/sec accuracy=33.613750 loss=3.031300 lr=0.076650 Batch [0049]/[0303]: acc-top1=32.593750 acc-top5=59.468750 Batch [0099]/[0303]: acc-top1=29.625000 acc-top5=56.062500 Batch [0149]/[0303]: acc-top1=30.583333 acc-top5=57.427083 Batch [0199]/[0303]: acc-top1=33.554688 acc-top5=59.703125 Batch [0249]/[0303]: acc-top1=32.918750 acc-top5=59.418750 Batch [0299]/[0303]: acc-top1=32.708333 acc-top5=59.656250 [Epoch 085] training: accuracy=33.610372 loss=3.031668 [Epoch 085] speed: 116 samples/sec time cost: 2175.065951 [Epoch 085] validation: acc-top1=32.647483 acc-top5=59.622525 loss=3.152413 Epoch[086] Batch [0049]/[3760] Speed: 86.582152 samples/sec accuracy=33.375000 loss=3.046019 lr=0.076637 Epoch[086] Batch [0099]/[3760] Speed: 117.603447 samples/sec accuracy=33.531250 loss=3.042112 lr=0.076626 Epoch[086] Batch [0149]/[3760] Speed: 117.186233 samples/sec accuracy=33.468750 loss=3.032300 lr=0.076615 Epoch[086] Batch [0199]/[3760] Speed: 117.225097 samples/sec accuracy=33.835938 loss=3.014717 lr=0.076604 Epoch[086] Batch [0249]/[3760] Speed: 117.288759 samples/sec accuracy=33.787500 loss=3.011526 lr=0.076593 Epoch[086] Batch [0299]/[3760] Speed: 117.800561 samples/sec accuracy=33.911458 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accuracy=33.523003 loss=3.029668 lr=0.075858 Epoch[086] Batch [3649]/[3760] Speed: 117.358711 samples/sec accuracy=33.509418 loss=3.030569 lr=0.075847 Epoch[086] Batch [3699]/[3760] Speed: 117.001828 samples/sec accuracy=33.500422 loss=3.031481 lr=0.075836 Epoch[086] Batch [3749]/[3760] Speed: 120.253230 samples/sec accuracy=33.504583 loss=3.032315 lr=0.075825 Batch [0049]/[0303]: acc-top1=34.562500 acc-top5=61.343750 Batch [0099]/[0303]: acc-top1=32.328125 acc-top5=59.468750 Batch [0149]/[0303]: acc-top1=34.062500 acc-top5=60.739583 Batch [0199]/[0303]: acc-top1=36.812500 acc-top5=62.976562 Batch [0249]/[0303]: acc-top1=35.450000 acc-top5=62.225000 Batch [0299]/[0303]: acc-top1=35.260417 acc-top5=62.276042 [Epoch 086] training: accuracy=33.508976 loss=3.032366 [Epoch 086] speed: 116 samples/sec time cost: 2178.691269 [Epoch 086] validation: acc-top1=35.189769 acc-top5=62.262789 loss=3.022544 Epoch[087] Batch [0049]/[3759] Speed: 86.470082 samples/sec accuracy=33.750000 loss=3.001150 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accuracy=34.050000 loss=3.004154 lr=0.075601 Epoch[087] Batch [1049]/[3759] Speed: 117.492048 samples/sec accuracy=33.988095 loss=3.006215 lr=0.075590 Epoch[087] Batch [1099]/[3759] Speed: 117.031146 samples/sec accuracy=33.930398 loss=3.008236 lr=0.075579 Epoch[087] Batch [1149]/[3759] Speed: 116.652559 samples/sec accuracy=33.967391 loss=3.007366 lr=0.075568 Epoch[087] Batch [1199]/[3759] Speed: 117.815157 samples/sec accuracy=33.928385 loss=3.007243 lr=0.075557 Epoch[087] Batch [1249]/[3759] Speed: 117.811609 samples/sec accuracy=33.906250 loss=3.007430 lr=0.075546 Epoch[087] Batch [1299]/[3759] Speed: 116.696311 samples/sec accuracy=33.913462 loss=3.007808 lr=0.075535 Epoch[087] Batch [1349]/[3759] Speed: 116.340750 samples/sec accuracy=33.903935 loss=3.008649 lr=0.075523 Epoch[087] Batch [1399]/[3759] Speed: 116.790618 samples/sec accuracy=33.850446 loss=3.011945 lr=0.075512 Epoch[087] Batch [1449]/[3759] Speed: 117.219692 samples/sec accuracy=33.822198 loss=3.012319 lr=0.075501 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accuracy=33.736940 loss=3.019787 lr=0.075079 Epoch[087] Batch [3399]/[3759] Speed: 116.431398 samples/sec accuracy=33.723346 loss=3.020332 lr=0.075067 Epoch[087] Batch [3449]/[3759] Speed: 118.012160 samples/sec accuracy=33.718750 loss=3.020571 lr=0.075056 Epoch[087] Batch [3499]/[3759] Speed: 117.462361 samples/sec accuracy=33.735714 loss=3.019877 lr=0.075045 Epoch[087] Batch [3549]/[3759] Speed: 117.879644 samples/sec accuracy=33.736796 loss=3.020117 lr=0.075034 Epoch[087] Batch [3599]/[3759] Speed: 118.814418 samples/sec accuracy=33.746094 loss=3.019882 lr=0.075023 Epoch[087] Batch [3649]/[3759] Speed: 116.788521 samples/sec accuracy=33.739726 loss=3.019750 lr=0.075012 Epoch[087] Batch [3699]/[3759] Speed: 117.830079 samples/sec accuracy=33.743666 loss=3.019159 lr=0.075000 Epoch[087] Batch [3749]/[3759] Speed: 119.460331 samples/sec accuracy=33.765833 loss=3.018096 lr=0.074989 Batch [0049]/[0303]: acc-top1=29.031250 acc-top5=56.531250 Batch [0099]/[0303]: acc-top1=27.890625 acc-top5=55.312500 Batch [0149]/[0303]: acc-top1=29.802083 acc-top5=57.187500 Batch [0199]/[0303]: acc-top1=33.453125 acc-top5=59.734375 Batch [0249]/[0303]: acc-top1=32.975000 acc-top5=59.306250 Batch [0299]/[0303]: acc-top1=32.411458 acc-top5=59.322917 [Epoch 087] training: accuracy=33.763135 loss=3.018301 [Epoch 087] speed: 116 samples/sec time cost: 2179.201158 [Epoch 087] validation: acc-top1=32.513408 acc-top5=59.375000 loss=3.187811 Epoch[088] Batch [0049]/[3760] Speed: 87.698170 samples/sec accuracy=33.750000 loss=3.001086 lr=0.074976 Epoch[088] Batch [0099]/[3760] Speed: 118.009099 samples/sec accuracy=33.968750 loss=2.982076 lr=0.074965 Epoch[088] Batch [0149]/[3760] Speed: 116.877808 samples/sec accuracy=33.947917 loss=2.988145 lr=0.074954 Epoch[088] Batch [0199]/[3760] Speed: 117.237142 samples/sec accuracy=34.375000 loss=2.991556 lr=0.074942 Epoch[088] Batch [0249]/[3760] Speed: 117.781105 samples/sec accuracy=34.425000 loss=2.985296 lr=0.074931 Epoch[088] Batch 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accuracy=34.170833 loss=2.993342 lr=0.074819 Epoch[088] Batch [0799]/[3760] Speed: 116.657559 samples/sec accuracy=34.167969 loss=2.993290 lr=0.074808 Epoch[088] Batch [0849]/[3760] Speed: 117.645160 samples/sec accuracy=34.204044 loss=2.993043 lr=0.074797 Epoch[088] Batch [0899]/[3760] Speed: 116.729204 samples/sec accuracy=34.185764 loss=2.994995 lr=0.074786 Epoch[088] Batch [0949]/[3760] Speed: 117.068976 samples/sec accuracy=34.259868 loss=2.993428 lr=0.074775 Epoch[088] Batch [0999]/[3760] Speed: 117.304790 samples/sec accuracy=34.223437 loss=2.992903 lr=0.074763 Epoch[088] Batch [1049]/[3760] Speed: 117.379554 samples/sec accuracy=34.194940 loss=2.996316 lr=0.074752 Epoch[088] Batch [1099]/[3760] Speed: 117.408507 samples/sec accuracy=34.129261 loss=2.998902 lr=0.074741 Epoch[088] Batch [1149]/[3760] Speed: 116.844887 samples/sec accuracy=34.130435 loss=2.997980 lr=0.074730 Epoch[088] Batch [1199]/[3760] Speed: 117.668989 samples/sec accuracy=34.125000 loss=2.998427 lr=0.074719 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loss=3.009974 lr=0.074505 Epoch[088] Batch [2199]/[3760] Speed: 118.093724 samples/sec accuracy=33.928977 loss=3.010034 lr=0.074494 Epoch[088] Batch [2249]/[3760] Speed: 117.709363 samples/sec accuracy=33.928472 loss=3.009901 lr=0.074483 Epoch[088] Batch [2299]/[3760] Speed: 118.252218 samples/sec accuracy=33.922554 loss=3.010424 lr=0.074472 Epoch[088] Batch [2349]/[3760] Speed: 117.759590 samples/sec accuracy=33.954787 loss=3.009515 lr=0.074460 Epoch[088] Batch [2399]/[3760] Speed: 116.314083 samples/sec accuracy=33.947266 loss=3.009408 lr=0.074449 Epoch[088] Batch [2449]/[3760] Speed: 117.742584 samples/sec accuracy=33.980867 loss=3.009171 lr=0.074438 Epoch[088] Batch [2499]/[3760] Speed: 117.749162 samples/sec accuracy=34.012500 loss=3.007111 lr=0.074427 Epoch[088] Batch [2549]/[3760] Speed: 117.657457 samples/sec accuracy=34.011029 loss=3.007875 lr=0.074415 Epoch[088] Batch [2599]/[3760] Speed: 118.010100 samples/sec accuracy=34.021034 loss=3.007983 lr=0.074404 Epoch[088] Batch 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accuracy=34.013609 loss=3.007251 lr=0.074291 Epoch[088] Batch [3149]/[3760] Speed: 118.192561 samples/sec accuracy=34.003968 loss=3.007622 lr=0.074280 Epoch[088] Batch [3199]/[3760] Speed: 116.530742 samples/sec accuracy=33.992676 loss=3.007552 lr=0.074269 Epoch[088] Batch [3249]/[3760] Speed: 116.677067 samples/sec accuracy=33.978846 loss=3.008393 lr=0.074258 Epoch[088] Batch [3299]/[3760] Speed: 117.679128 samples/sec accuracy=33.968750 loss=3.008397 lr=0.074246 Epoch[088] Batch [3349]/[3760] Speed: 117.670501 samples/sec accuracy=33.971082 loss=3.009041 lr=0.074235 Epoch[088] Batch [3399]/[3760] Speed: 117.673628 samples/sec accuracy=33.951746 loss=3.009623 lr=0.074224 Epoch[088] Batch [3449]/[3760] Speed: 117.214489 samples/sec accuracy=33.943841 loss=3.009405 lr=0.074212 Epoch[088] Batch [3499]/[3760] Speed: 117.813398 samples/sec accuracy=33.931250 loss=3.009730 lr=0.074201 Epoch[088] Batch [3549]/[3760] Speed: 117.378758 samples/sec accuracy=33.949384 loss=3.009577 lr=0.074190 Epoch[088] Batch [3599]/[3760] Speed: 117.200065 samples/sec accuracy=33.952691 loss=3.009703 lr=0.074179 Epoch[088] Batch [3649]/[3760] Speed: 117.610961 samples/sec accuracy=33.943921 loss=3.010046 lr=0.074167 Epoch[088] Batch [3699]/[3760] Speed: 117.580901 samples/sec accuracy=33.961993 loss=3.009787 lr=0.074156 Epoch[088] Batch [3749]/[3760] Speed: 121.077615 samples/sec accuracy=33.973333 loss=3.009998 lr=0.074145 Batch [0049]/[0303]: acc-top1=35.500000 acc-top5=61.031250 Batch [0099]/[0303]: acc-top1=32.562500 acc-top5=57.609375 Batch [0149]/[0303]: acc-top1=33.635417 acc-top5=59.000000 Batch [0199]/[0303]: acc-top1=36.617188 acc-top5=61.585938 Batch [0249]/[0303]: acc-top1=36.050000 acc-top5=61.768750 Batch [0299]/[0303]: acc-top1=35.567708 acc-top5=61.791667 [Epoch 088] training: accuracy=33.973570 loss=3.010304 [Epoch 088] speed: 116 samples/sec time cost: 2176.777462 [Epoch 088] validation: acc-top1=35.612624 acc-top5=61.917285 loss=2.961470 Epoch[089] Batch [0049]/[3760] Speed: 87.086582 samples/sec accuracy=34.875000 loss=2.941512 lr=0.074131 Epoch[089] Batch [0099]/[3760] Speed: 117.487987 samples/sec accuracy=34.421875 loss=2.979387 lr=0.074120 Epoch[089] Batch [0149]/[3760] Speed: 117.449305 samples/sec accuracy=34.541667 loss=2.979028 lr=0.074109 Epoch[089] Batch [0199]/[3760] Speed: 116.974801 samples/sec accuracy=34.492188 loss=2.987405 lr=0.074097 Epoch[089] Batch [0249]/[3760] Speed: 117.240831 samples/sec accuracy=34.768750 loss=2.972638 lr=0.074086 Epoch[089] Batch [0299]/[3760] Speed: 117.779020 samples/sec accuracy=34.760417 loss=2.973340 lr=0.074075 Epoch[089] Batch [0349]/[3760] Speed: 117.970418 samples/sec accuracy=34.495536 loss=2.983161 lr=0.074063 Epoch[089] Batch [0399]/[3760] Speed: 118.257311 samples/sec accuracy=34.382812 loss=2.996656 lr=0.074052 Epoch[089] Batch [0449]/[3760] Speed: 117.429012 samples/sec accuracy=34.496528 loss=2.989957 lr=0.074041 Epoch[089] Batch [0499]/[3760] Speed: 117.781750 samples/sec accuracy=34.437500 loss=2.984227 lr=0.074029 Epoch[089] Batch [0549]/[3760] Speed: 116.841684 samples/sec accuracy=34.511364 loss=2.982870 lr=0.074018 Epoch[089] Batch [0599]/[3760] Speed: 117.066552 samples/sec accuracy=34.390625 loss=2.988051 lr=0.074007 Epoch[089] Batch [0649]/[3760] Speed: 117.413835 samples/sec accuracy=34.495192 loss=2.986542 lr=0.073995 Epoch[089] Batch [0699]/[3760] Speed: 117.162334 samples/sec accuracy=34.370536 loss=2.990334 lr=0.073984 Epoch[089] Batch [0749]/[3760] Speed: 116.758545 samples/sec accuracy=34.252083 loss=2.995477 lr=0.073973 Epoch[089] Batch [0799]/[3760] Speed: 116.774886 samples/sec accuracy=34.167969 loss=3.000626 lr=0.073962 Epoch[089] Batch [0849]/[3760] Speed: 117.691589 samples/sec accuracy=34.233456 loss=2.999882 lr=0.073950 Epoch[089] Batch [0899]/[3760] Speed: 117.433528 samples/sec accuracy=34.208333 loss=3.000797 lr=0.073939 Epoch[089] Batch [0949]/[3760] Speed: 117.759669 samples/sec accuracy=34.289474 loss=2.996945 lr=0.073928 Epoch[089] Batch [0999]/[3760] Speed: 115.977383 samples/sec accuracy=34.310938 loss=2.996949 lr=0.073916 Epoch[089] Batch [1049]/[3760] Speed: 117.803749 samples/sec accuracy=34.245536 loss=2.999319 lr=0.073905 Epoch[089] Batch [1099]/[3760] Speed: 116.837507 samples/sec accuracy=34.241477 loss=2.998973 lr=0.073894 Epoch[089] Batch [1149]/[3760] Speed: 117.786138 samples/sec accuracy=34.258152 loss=2.997346 lr=0.073882 Epoch[089] Batch [1199]/[3760] Speed: 117.656456 samples/sec accuracy=34.199219 loss=3.000251 lr=0.073871 Epoch[089] Batch [1249]/[3760] Speed: 117.254015 samples/sec accuracy=34.208750 loss=2.997785 lr=0.073860 Epoch[089] Batch [1299]/[3760] Speed: 117.412736 samples/sec accuracy=34.180288 loss=2.999176 lr=0.073848 Epoch[089] Batch [1349]/[3760] Speed: 117.082990 samples/sec accuracy=34.151620 loss=3.000428 lr=0.073837 Epoch[089] Batch [1399]/[3760] Speed: 117.426979 samples/sec accuracy=34.140625 loss=2.999555 lr=0.073826 Epoch[089] Batch [1449]/[3760] Speed: 117.760599 samples/sec accuracy=34.135776 loss=2.999784 lr=0.073814 Epoch[089] Batch [1499]/[3760] Speed: 116.981663 samples/sec accuracy=34.158333 loss=2.999238 lr=0.073803 Epoch[089] Batch [1549]/[3760] Speed: 117.578985 samples/sec accuracy=34.138105 loss=3.001130 lr=0.073792 Epoch[089] Batch [1599]/[3760] Speed: 117.416419 samples/sec accuracy=34.153320 loss=3.000641 lr=0.073780 Epoch[089] Batch [1649]/[3760] Speed: 117.702545 samples/sec accuracy=34.169508 loss=2.999813 lr=0.073769 Epoch[089] Batch [1699]/[3760] Speed: 117.610667 samples/sec accuracy=34.126838 loss=3.001863 lr=0.073758 Epoch[089] Batch [1749]/[3760] Speed: 117.815960 samples/sec accuracy=34.111607 loss=3.002382 lr=0.073746 Epoch[089] Batch [1799]/[3760] Speed: 116.329153 samples/sec accuracy=34.134549 loss=3.000904 lr=0.073735 Epoch[089] Batch [1849]/[3760] Speed: 117.504541 samples/sec accuracy=34.141892 loss=3.001433 lr=0.073723 Epoch[089] Batch [1899]/[3760] Speed: 118.446002 samples/sec accuracy=34.141447 loss=3.002019 lr=0.073712 Epoch[089] Batch [1949]/[3760] Speed: 116.594314 samples/sec accuracy=34.147436 loss=3.000775 lr=0.073701 Epoch[089] Batch [1999]/[3760] Speed: 117.966302 samples/sec accuracy=34.154688 loss=3.000081 lr=0.073689 Epoch[089] Batch [2049]/[3760] Speed: 117.540256 samples/sec accuracy=34.114329 loss=3.001996 lr=0.073678 Epoch[089] Batch [2099]/[3760] Speed: 117.382443 samples/sec accuracy=34.094494 loss=3.001960 lr=0.073667 Epoch[089] Batch [2149]/[3760] Speed: 117.103530 samples/sec accuracy=34.092297 loss=3.002588 lr=0.073655 Epoch[089] Batch [2199]/[3760] Speed: 117.431006 samples/sec accuracy=34.076705 loss=3.002884 lr=0.073644 Epoch[089] Batch [2249]/[3760] Speed: 117.232304 samples/sec accuracy=34.063194 loss=3.003342 lr=0.073633 Epoch[089] Batch [2299]/[3760] Speed: 117.234900 samples/sec accuracy=34.079484 loss=3.002265 lr=0.073621 Epoch[089] Batch [2349]/[3760] Speed: 117.772720 samples/sec accuracy=34.069149 loss=3.002526 lr=0.073610 Epoch[089] Batch [2399]/[3760] Speed: 117.477527 samples/sec accuracy=34.070312 loss=3.002710 lr=0.073598 Epoch[089] Batch [2449]/[3760] Speed: 117.103300 samples/sec accuracy=34.040816 loss=3.003958 lr=0.073587 Epoch[089] Batch [2499]/[3760] Speed: 118.042869 samples/sec accuracy=34.036250 loss=3.004717 lr=0.073576 Epoch[089] Batch [2549]/[3760] Speed: 117.270106 samples/sec accuracy=34.033088 loss=3.005466 lr=0.073564 Epoch[089] Batch [2599]/[3760] Speed: 117.601546 samples/sec accuracy=34.013221 loss=3.006309 lr=0.073553 Epoch[089] Batch [2649]/[3760] Speed: 117.840972 samples/sec accuracy=34.022995 loss=3.005679 lr=0.073542 Epoch[089] Batch [2699]/[3760] Speed: 117.535209 samples/sec accuracy=34.045139 loss=3.004397 lr=0.073530 Epoch[089] Batch [2749]/[3760] Speed: 117.265814 samples/sec accuracy=34.057386 loss=3.005039 lr=0.073519 Epoch[089] Batch [2799]/[3760] Speed: 118.267244 samples/sec accuracy=34.069196 loss=3.004500 lr=0.073507 Epoch[089] Batch [2849]/[3760] Speed: 117.218631 samples/sec accuracy=34.066338 loss=3.004222 lr=0.073496 Epoch[089] Batch [2899]/[3760] Speed: 117.387492 samples/sec accuracy=34.072737 loss=3.003259 lr=0.073485 Epoch[089] Batch [2949]/[3760] Speed: 117.390234 samples/sec accuracy=34.079449 loss=3.003322 lr=0.073473 Epoch[089] Batch [2999]/[3760] Speed: 117.547342 samples/sec accuracy=34.072396 loss=3.003374 lr=0.073462 Epoch[089] Batch [3049]/[3760] Speed: 117.404258 samples/sec accuracy=34.089139 loss=3.003900 lr=0.073451 Epoch[089] Batch [3099]/[3760] Speed: 117.364772 samples/sec accuracy=34.059476 loss=3.005224 lr=0.073439 Epoch[089] Batch [3149]/[3760] Speed: 117.941574 samples/sec accuracy=34.045635 loss=3.005756 lr=0.073428 Epoch[089] Batch [3199]/[3760] Speed: 117.213986 samples/sec accuracy=34.027344 loss=3.006329 lr=0.073416 Epoch[089] Batch [3249]/[3760] Speed: 117.160231 samples/sec accuracy=34.045673 loss=3.005887 lr=0.073405 Epoch[089] Batch [3299]/[3760] Speed: 116.532603 samples/sec accuracy=34.052083 loss=3.006267 lr=0.073394 Epoch[089] Batch [3349]/[3760] Speed: 118.288457 samples/sec accuracy=34.057836 loss=3.005711 lr=0.073382 Epoch[089] Batch [3399]/[3760] Speed: 117.369907 samples/sec accuracy=34.065717 loss=3.005886 lr=0.073371 Epoch[089] Batch [3449]/[3760] Speed: 117.766857 samples/sec accuracy=34.076087 loss=3.004995 lr=0.073359 Epoch[089] Batch [3499]/[3760] Speed: 118.489845 samples/sec accuracy=34.089732 loss=3.004430 lr=0.073348 Epoch[089] Batch [3549]/[3760] Speed: 117.432267 samples/sec accuracy=34.072623 loss=3.005139 lr=0.073337 Epoch[089] Batch [3599]/[3760] Speed: 116.959847 samples/sec accuracy=34.062934 loss=3.006155 lr=0.073325 Epoch[089] Batch [3649]/[3760] Speed: 117.177234 samples/sec accuracy=34.057363 loss=3.006502 lr=0.073314 Epoch[089] Batch [3699]/[3760] Speed: 117.680808 samples/sec accuracy=34.078547 loss=3.005815 lr=0.073302 Epoch[089] Batch [3749]/[3760] Speed: 120.578662 samples/sec accuracy=34.085000 loss=3.005152 lr=0.073291 Batch [0049]/[0303]: acc-top1=34.218750 acc-top5=59.218750 Batch [0099]/[0303]: acc-top1=32.171875 acc-top5=57.921875 Batch [0149]/[0303]: acc-top1=33.708333 acc-top5=59.270833 Batch [0199]/[0303]: acc-top1=36.585938 acc-top5=61.937500 Batch [0249]/[0303]: acc-top1=35.237500 acc-top5=60.925000 Batch [0299]/[0303]: acc-top1=34.708333 acc-top5=60.817708 [Epoch 089] training: accuracy=34.079953 loss=3.005410 [Epoch 089] speed: 116 samples/sec time cost: 2176.926054 [Epoch 089] validation: acc-top1=34.637995 acc-top5=60.751856 loss=3.177131 Epoch[090] Batch [0049]/[3759] Speed: 86.967581 samples/sec accuracy=35.843750 loss=2.899209 lr=0.073277 Epoch[090] Batch [0099]/[3759] Speed: 118.339271 samples/sec accuracy=35.656250 loss=2.945034 lr=0.073266 Epoch[090] Batch [0149]/[3759] Speed: 117.547775 samples/sec accuracy=35.302083 loss=2.959105 lr=0.073254 Epoch[090] Batch [0199]/[3759] Speed: 116.487222 samples/sec accuracy=35.195312 loss=2.960948 lr=0.073243 Epoch[090] Batch [0249]/[3759] Speed: 117.077414 samples/sec accuracy=35.200000 loss=2.962535 lr=0.073232 Epoch[090] Batch [0299]/[3759] Speed: 117.130985 samples/sec accuracy=35.114583 loss=2.965298 lr=0.073220 Epoch[090] Batch [0349]/[3759] Speed: 117.336658 samples/sec accuracy=34.950893 loss=2.968729 lr=0.073209 Epoch[090] Batch [0399]/[3759] Speed: 118.020152 samples/sec accuracy=34.726562 loss=2.981881 lr=0.073197 Epoch[090] Batch [0449]/[3759] Speed: 116.663036 samples/sec accuracy=34.795139 loss=2.977357 lr=0.073186 Epoch[090] Batch [0499]/[3759] Speed: 118.263316 samples/sec accuracy=34.690625 loss=2.975260 lr=0.073174 Epoch[090] Batch [0549]/[3759] Speed: 117.266623 samples/sec accuracy=34.630682 loss=2.981358 lr=0.073163 Epoch[090] Batch [0599]/[3759] Speed: 117.259981 samples/sec accuracy=34.557292 loss=2.987838 lr=0.073152 Epoch[090] Batch [0649]/[3759] Speed: 117.565889 samples/sec accuracy=34.545673 loss=2.990252 lr=0.073140 Epoch[090] Batch [0699]/[3759] Speed: 117.765959 samples/sec accuracy=34.495536 loss=2.986649 lr=0.073129 Epoch[090] Batch [0749]/[3759] Speed: 117.071179 samples/sec accuracy=34.512500 loss=2.989621 lr=0.073117 Epoch[090] Batch [0799]/[3759] Speed: 117.204734 samples/sec accuracy=34.455078 loss=2.991048 lr=0.073106 Epoch[090] Batch [0849]/[3759] Speed: 117.104882 samples/sec accuracy=34.380515 loss=2.994882 lr=0.073094 Epoch[090] Batch [0899]/[3759] Speed: 117.521550 samples/sec accuracy=34.390625 loss=2.996348 lr=0.073083 Epoch[090] Batch [0949]/[3759] Speed: 116.665745 samples/sec accuracy=34.353618 loss=2.999038 lr=0.073072 Epoch[090] Batch [0999]/[3759] Speed: 117.031672 samples/sec accuracy=34.268750 loss=2.998995 lr=0.073060 Epoch[090] Batch [1049]/[3759] Speed: 117.251936 samples/sec accuracy=34.206845 loss=3.003118 lr=0.073049 Epoch[090] Batch [1099]/[3759] Speed: 117.400808 samples/sec accuracy=34.188920 loss=3.002773 lr=0.073037 Epoch[090] Batch [1149]/[3759] Speed: 117.504422 samples/sec accuracy=34.164402 loss=3.001672 lr=0.073026 Epoch[090] Batch [1199]/[3759] Speed: 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loss=2.995262 lr=0.072911 Epoch[090] Batch [1699]/[3759] Speed: 117.990230 samples/sec accuracy=34.266544 loss=2.996861 lr=0.072900 Epoch[090] Batch [1749]/[3759] Speed: 118.150990 samples/sec accuracy=34.208036 loss=2.999636 lr=0.072888 Epoch[090] Batch [1799]/[3759] Speed: 117.952176 samples/sec accuracy=34.255208 loss=2.997339 lr=0.072877 Epoch[090] Batch [1849]/[3759] Speed: 118.319470 samples/sec accuracy=34.255068 loss=2.997694 lr=0.072865 Epoch[090] Batch [1899]/[3759] Speed: 117.201844 samples/sec accuracy=34.234375 loss=2.997645 lr=0.072854 Epoch[090] Batch [1949]/[3759] Speed: 118.066394 samples/sec accuracy=34.225160 loss=2.997792 lr=0.072842 Epoch[090] Batch [1999]/[3759] Speed: 117.573134 samples/sec accuracy=34.235156 loss=2.996720 lr=0.072831 Epoch[090] Batch [2049]/[3759] Speed: 117.311307 samples/sec accuracy=34.220274 loss=2.997167 lr=0.072819 Epoch[090] Batch [2099]/[3759] Speed: 116.670550 samples/sec accuracy=34.220238 loss=2.997807 lr=0.072808 Epoch[090] Batch 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accuracy=34.190505 loss=3.001090 lr=0.072693 Epoch[090] Batch [2649]/[3759] Speed: 118.691078 samples/sec accuracy=34.199882 loss=3.000144 lr=0.072682 Epoch[090] Batch [2699]/[3759] Speed: 117.445035 samples/sec accuracy=34.227431 loss=2.999340 lr=0.072670 Epoch[090] Batch [2749]/[3759] Speed: 117.997804 samples/sec accuracy=34.217614 loss=3.000253 lr=0.072659 Epoch[090] Batch [2799]/[3759] Speed: 117.688957 samples/sec accuracy=34.233259 loss=2.999606 lr=0.072647 Epoch[090] Batch [2849]/[3759] Speed: 117.961769 samples/sec accuracy=34.238487 loss=2.999710 lr=0.072636 Epoch[090] Batch [2899]/[3759] Speed: 117.981574 samples/sec accuracy=34.228987 loss=2.999836 lr=0.072624 Epoch[090] Batch [2949]/[3759] Speed: 116.764365 samples/sec accuracy=34.245233 loss=2.999669 lr=0.072613 Epoch[090] Batch [2999]/[3759] Speed: 117.618386 samples/sec accuracy=34.236979 loss=3.000221 lr=0.072601 Epoch[090] Batch [3049]/[3759] Speed: 117.594542 samples/sec accuracy=34.232582 loss=3.000466 lr=0.072590 Epoch[090] Batch [3099]/[3759] Speed: 117.626874 samples/sec accuracy=34.225806 loss=3.000073 lr=0.072578 Epoch[090] Batch [3149]/[3759] Speed: 117.790598 samples/sec accuracy=34.240575 loss=2.999292 lr=0.072567 Epoch[090] Batch [3199]/[3759] Speed: 117.578729 samples/sec accuracy=34.242188 loss=2.999436 lr=0.072555 Epoch[090] Batch [3249]/[3759] Speed: 116.973711 samples/sec accuracy=34.258654 loss=2.998142 lr=0.072544 Epoch[090] Batch [3299]/[3759] Speed: 117.296719 samples/sec accuracy=34.258996 loss=2.997783 lr=0.072532 Epoch[090] Batch [3349]/[3759] Speed: 117.317925 samples/sec accuracy=34.256996 loss=2.997800 lr=0.072521 Epoch[090] Batch [3399]/[3759] Speed: 117.460171 samples/sec accuracy=34.242647 loss=2.999047 lr=0.072509 Epoch[090] Batch [3449]/[3759] Speed: 117.856344 samples/sec accuracy=34.225091 loss=3.000134 lr=0.072497 Epoch[090] Batch [3499]/[3759] Speed: 117.148778 samples/sec accuracy=34.224107 loss=2.999850 lr=0.072486 Epoch[090] Batch [3549]/[3759] Speed: 117.191483 samples/sec accuracy=34.224912 loss=2.999400 lr=0.072474 Epoch[090] Batch [3599]/[3759] Speed: 117.088275 samples/sec accuracy=34.214410 loss=2.999980 lr=0.072463 Epoch[090] Batch [3649]/[3759] Speed: 117.194296 samples/sec accuracy=34.203339 loss=2.999483 lr=0.072451 Epoch[090] Batch [3699]/[3759] Speed: 117.701114 samples/sec accuracy=34.192990 loss=2.999748 lr=0.072440 Epoch[090] Batch [3749]/[3759] Speed: 118.883891 samples/sec accuracy=34.203333 loss=2.998980 lr=0.072428 Batch [0049]/[0303]: acc-top1=35.500000 acc-top5=61.187500 Batch [0099]/[0303]: acc-top1=33.734375 acc-top5=59.453125 Batch [0149]/[0303]: acc-top1=34.958333 acc-top5=60.656250 Batch [0199]/[0303]: acc-top1=37.531250 acc-top5=62.437500 Batch [0249]/[0303]: acc-top1=37.337500 acc-top5=62.606250 Batch [0299]/[0303]: acc-top1=36.442708 acc-top5=62.671875 [Epoch 090] training: accuracy=34.208732 loss=2.998932 [Epoch 090] speed: 116 samples/sec time cost: 2175.937352 [Epoch 090] validation: acc-top1=36.473804 acc-top5=62.711427 loss=2.942223 Epoch[091] Batch [0049]/[3760] Speed: 87.170333 samples/sec accuracy=35.812500 loss=2.896171 lr=0.072415 Epoch[091] Batch [0099]/[3760] Speed: 117.431775 samples/sec accuracy=34.828125 loss=2.956996 lr=0.072403 Epoch[091] Batch [0149]/[3760] Speed: 116.696423 samples/sec accuracy=34.885417 loss=2.953642 lr=0.072392 Epoch[091] Batch [0199]/[3760] Speed: 117.372469 samples/sec accuracy=34.750000 loss=2.961935 lr=0.072380 Epoch[091] Batch [0249]/[3760] Speed: 117.595281 samples/sec accuracy=34.893750 loss=2.956719 lr=0.072369 Epoch[091] Batch [0299]/[3760] Speed: 117.949847 samples/sec accuracy=34.885417 loss=2.967560 lr=0.072357 Epoch[091] Batch [0349]/[3760] Speed: 116.999421 samples/sec accuracy=34.857143 loss=2.965017 lr=0.072346 Epoch[091] Batch [0399]/[3760] Speed: 117.945842 samples/sec accuracy=34.730469 loss=2.977143 lr=0.072334 Epoch[091] Batch [0449]/[3760] Speed: 117.059163 samples/sec accuracy=34.687500 loss=2.976024 lr=0.072322 Epoch[091] Batch [0499]/[3760] Speed: 117.670381 samples/sec accuracy=34.684375 loss=2.977267 lr=0.072311 Epoch[091] Batch [0549]/[3760] Speed: 118.241628 samples/sec accuracy=34.494318 loss=2.988141 lr=0.072299 Epoch[091] Batch [0599]/[3760] Speed: 117.301457 samples/sec accuracy=34.578125 loss=2.986805 lr=0.072288 Epoch[091] Batch [0649]/[3760] Speed: 116.826018 samples/sec accuracy=34.569712 loss=2.987429 lr=0.072276 Epoch[091] Batch [0699]/[3760] Speed: 118.028722 samples/sec accuracy=34.595982 loss=2.988349 lr=0.072265 Epoch[091] Batch [0749]/[3760] Speed: 116.689059 samples/sec accuracy=34.620833 loss=2.986691 lr=0.072253 Epoch[091] Batch [0799]/[3760] Speed: 117.922767 samples/sec accuracy=34.724609 loss=2.983356 lr=0.072242 Epoch[091] Batch [0849]/[3760] Speed: 116.966557 samples/sec accuracy=34.726103 loss=2.983193 lr=0.072230 Epoch[091] Batch [0899]/[3760] Speed: 117.665924 samples/sec accuracy=34.678819 loss=2.984218 lr=0.072219 Epoch[091] Batch [0949]/[3760] Speed: 117.683909 samples/sec accuracy=34.610197 loss=2.987895 lr=0.072207 Epoch[091] Batch [0999]/[3760] Speed: 117.569074 samples/sec accuracy=34.556250 loss=2.992130 lr=0.072195 Epoch[091] Batch [1049]/[3760] Speed: 118.072917 samples/sec accuracy=34.552083 loss=2.991701 lr=0.072184 Epoch[091] Batch [1099]/[3760] Speed: 118.033920 samples/sec accuracy=34.454545 loss=2.994329 lr=0.072172 Epoch[091] Batch [1149]/[3760] Speed: 118.470685 samples/sec accuracy=34.447011 loss=2.994972 lr=0.072161 Epoch[091] Batch [1199]/[3760] Speed: 118.159629 samples/sec accuracy=34.419271 loss=2.997982 lr=0.072149 Epoch[091] Batch [1249]/[3760] Speed: 117.048936 samples/sec accuracy=34.426250 loss=2.997714 lr=0.072138 Epoch[091] Batch [1299]/[3760] Speed: 117.732725 samples/sec accuracy=34.451923 loss=2.995692 lr=0.072126 Epoch[091] Batch [1349]/[3760] Speed: 117.995818 samples/sec accuracy=34.420139 loss=2.997065 lr=0.072114 Epoch[091] Batch [1399]/[3760] Speed: 117.512479 samples/sec accuracy=34.397321 loss=2.996982 lr=0.072103 Epoch[091] Batch [1449]/[3760] Speed: 117.404204 samples/sec accuracy=34.335129 loss=2.999800 lr=0.072091 Epoch[091] Batch [1499]/[3760] Speed: 117.154104 samples/sec accuracy=34.287500 loss=3.001285 lr=0.072080 Epoch[091] Batch [1549]/[3760] Speed: 117.558583 samples/sec accuracy=34.317540 loss=2.999798 lr=0.072068 Epoch[091] Batch [1599]/[3760] Speed: 118.468640 samples/sec accuracy=34.334961 loss=2.996835 lr=0.072057 Epoch[091] Batch [1649]/[3760] Speed: 115.503472 samples/sec accuracy=34.341856 loss=2.996440 lr=0.072045 Epoch[091] Batch [1699]/[3760] Speed: 117.698608 samples/sec accuracy=34.326287 loss=2.996515 lr=0.072033 Epoch[091] Batch [1749]/[3760] Speed: 116.922698 samples/sec accuracy=34.318750 loss=2.996302 lr=0.072022 Epoch[091] Batch [1799]/[3760] Speed: 117.873866 samples/sec accuracy=34.314236 loss=2.996251 lr=0.072010 Epoch[091] Batch [1849]/[3760] Speed: 117.160102 samples/sec accuracy=34.358108 loss=2.995096 lr=0.071999 Epoch[091] Batch [1899]/[3760] Speed: 117.865591 samples/sec accuracy=34.339638 loss=2.995364 lr=0.071987 Epoch[091] Batch [1949]/[3760] Speed: 117.524795 samples/sec accuracy=34.353365 loss=2.995951 lr=0.071976 Epoch[091] Batch [1999]/[3760] Speed: 116.166044 samples/sec accuracy=34.310938 loss=2.996230 lr=0.071964 Epoch[091] Batch [2049]/[3760] Speed: 117.321396 samples/sec accuracy=34.329268 loss=2.994189 lr=0.071952 Epoch[091] Batch [2099]/[3760] Speed: 117.470217 samples/sec accuracy=34.319940 loss=2.994402 lr=0.071941 Epoch[091] Batch [2149]/[3760] Speed: 117.414573 samples/sec accuracy=34.305959 loss=2.994362 lr=0.071929 Epoch[091] Batch [2199]/[3760] Speed: 117.541107 samples/sec accuracy=34.316761 loss=2.994202 lr=0.071918 Epoch[091] Batch [2249]/[3760] Speed: 117.684166 samples/sec accuracy=34.320833 loss=2.993928 lr=0.071906 Epoch[091] Batch [2299]/[3760] Speed: 117.840068 samples/sec accuracy=34.328125 loss=2.993848 lr=0.071894 Epoch[091] Batch [2349]/[3760] Speed: 118.429598 samples/sec accuracy=34.332447 loss=2.994737 lr=0.071883 Epoch[091] Batch [2399]/[3760] Speed: 117.032057 samples/sec accuracy=34.324870 loss=2.994843 lr=0.071871 Epoch[091] Batch [2449]/[3760] Speed: 117.368452 samples/sec accuracy=34.328444 loss=2.993729 lr=0.071860 Epoch[091] Batch [2499]/[3760] Speed: 116.876656 samples/sec accuracy=34.314375 loss=2.993850 lr=0.071848 Epoch[091] Batch [2549]/[3760] Speed: 117.082349 samples/sec accuracy=34.280025 loss=2.994060 lr=0.071836 Epoch[091] Batch [2599]/[3760] Speed: 117.699042 samples/sec accuracy=34.300481 loss=2.994047 lr=0.071825 Epoch[091] Batch [2649]/[3760] Speed: 117.815983 samples/sec accuracy=34.310731 loss=2.993483 lr=0.071813 Epoch[091] Batch [2699]/[3760] Speed: 118.331712 samples/sec accuracy=34.304977 loss=2.994109 lr=0.071802 Epoch[091] Batch [2749]/[3760] Speed: 117.469651 samples/sec accuracy=34.286932 loss=2.994871 lr=0.071790 Epoch[091] Batch [2799]/[3760] Speed: 117.367902 samples/sec accuracy=34.294643 loss=2.994167 lr=0.071778 Epoch[091] Batch [2849]/[3760] Speed: 117.677417 samples/sec accuracy=34.293311 loss=2.994302 lr=0.071767 Epoch[091] Batch [2899]/[3760] Speed: 116.979560 samples/sec accuracy=34.291487 loss=2.993913 lr=0.071755 Epoch[091] Batch [2949]/[3760] Speed: 117.915460 samples/sec accuracy=34.313030 loss=2.993427 lr=0.071744 Epoch[091] Batch [2999]/[3760] Speed: 117.786106 samples/sec accuracy=34.310417 loss=2.993224 lr=0.071732 Epoch[091] Batch [3049]/[3760] Speed: 117.311843 samples/sec accuracy=34.335041 loss=2.992112 lr=0.071720 Epoch[091] Batch [3099]/[3760] Speed: 118.045346 samples/sec accuracy=34.346774 loss=2.992127 lr=0.071709 Epoch[091] Batch [3149]/[3760] Speed: 117.321848 samples/sec accuracy=34.361111 loss=2.992028 lr=0.071697 Epoch[091] Batch [3199]/[3760] Speed: 117.737528 samples/sec accuracy=34.349121 loss=2.992762 lr=0.071686 Epoch[091] Batch [3249]/[3760] Speed: 116.851829 samples/sec accuracy=34.336538 loss=2.993552 lr=0.071674 Epoch[091] Batch [3299]/[3760] Speed: 118.216572 samples/sec accuracy=34.340909 loss=2.993519 lr=0.071662 Epoch[091] Batch [3349]/[3760] Speed: 115.947680 samples/sec accuracy=34.335821 loss=2.993517 lr=0.071651 Epoch[091] Batch [3399]/[3760] Speed: 118.282754 samples/sec accuracy=34.323989 loss=2.994132 lr=0.071639 Epoch[091] Batch [3449]/[3760] Speed: 117.954661 samples/sec accuracy=34.321105 loss=2.994516 lr=0.071627 Epoch[091] Batch [3499]/[3760] Speed: 117.610400 samples/sec accuracy=34.326786 loss=2.994118 lr=0.071616 Epoch[091] Batch [3549]/[3760] Speed: 117.119340 samples/sec accuracy=34.329665 loss=2.994523 lr=0.071604 Epoch[091] Batch [3599]/[3760] Speed: 116.706105 samples/sec accuracy=34.338976 loss=2.994206 lr=0.071592 Epoch[091] Batch [3649]/[3760] Speed: 118.404405 samples/sec accuracy=34.333904 loss=2.994430 lr=0.071581 Epoch[091] Batch [3699]/[3760] Speed: 116.907749 samples/sec accuracy=34.338682 loss=2.994229 lr=0.071569 Epoch[091] Batch [3749]/[3760] Speed: 121.072452 samples/sec accuracy=34.321250 loss=2.995435 lr=0.071558 Batch [0049]/[0303]: acc-top1=33.718750 acc-top5=61.000000 Batch [0099]/[0303]: acc-top1=33.000000 acc-top5=60.406250 Batch [0149]/[0303]: acc-top1=34.687500 acc-top5=61.604167 Batch [0199]/[0303]: acc-top1=37.046875 acc-top5=63.734375 Batch [0249]/[0303]: acc-top1=35.881250 acc-top5=63.281250 Batch [0299]/[0303]: acc-top1=35.557292 acc-top5=63.546875 [Epoch 091] training: accuracy=34.325133 loss=2.995573 [Epoch 091] speed: 116 samples/sec time cost: 2174.806381 [Epoch 091] validation: acc-top1=35.586840 acc-top5=63.588078 loss=2.960348 Epoch[092] Batch [0049]/[3760] Speed: 86.259494 samples/sec accuracy=35.781250 loss=2.884045 lr=0.071544 Epoch[092] Batch [0099]/[3760] Speed: 117.646376 samples/sec accuracy=35.406250 loss=2.928338 lr=0.071532 Epoch[092] Batch [0149]/[3760] Speed: 117.227601 samples/sec accuracy=35.281250 loss=2.935195 lr=0.071520 Epoch[092] Batch [0199]/[3760] Speed: 116.879261 samples/sec accuracy=35.476562 loss=2.936468 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accuracy=34.766304 loss=2.970697 lr=0.071287 Epoch[092] Batch [1199]/[3760] Speed: 117.102132 samples/sec accuracy=34.792969 loss=2.970562 lr=0.071276 Epoch[092] Batch [1249]/[3760] Speed: 117.325201 samples/sec accuracy=34.746250 loss=2.971875 lr=0.071264 Epoch[092] Batch [1299]/[3760] Speed: 117.698299 samples/sec accuracy=34.783654 loss=2.970179 lr=0.071252 Epoch[092] Batch [1349]/[3760] Speed: 117.484703 samples/sec accuracy=34.783565 loss=2.970391 lr=0.071241 Epoch[092] Batch [1399]/[3760] Speed: 117.227981 samples/sec accuracy=34.804688 loss=2.969166 lr=0.071229 Epoch[092] Batch [1449]/[3760] Speed: 117.466983 samples/sec accuracy=34.766164 loss=2.969892 lr=0.071217 Epoch[092] Batch [1499]/[3760] Speed: 117.556639 samples/sec accuracy=34.744792 loss=2.970642 lr=0.071205 Epoch[092] Batch [1549]/[3760] Speed: 117.575281 samples/sec accuracy=34.752016 loss=2.970518 lr=0.071194 Epoch[092] Batch [1599]/[3760] Speed: 117.534856 samples/sec accuracy=34.801758 loss=2.968223 lr=0.071182 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loss=2.976606 lr=0.070960 Epoch[092] Batch [2599]/[3760] Speed: 117.193337 samples/sec accuracy=34.570312 loss=2.976612 lr=0.070948 Epoch[092] Batch [2649]/[3760] Speed: 117.467193 samples/sec accuracy=34.578420 loss=2.976203 lr=0.070936 Epoch[092] Batch [2699]/[3760] Speed: 117.973548 samples/sec accuracy=34.582176 loss=2.975726 lr=0.070925 Epoch[092] Batch [2749]/[3760] Speed: 117.860473 samples/sec accuracy=34.568182 loss=2.976103 lr=0.070913 Epoch[092] Batch [2799]/[3760] Speed: 117.120913 samples/sec accuracy=34.582031 loss=2.975212 lr=0.070901 Epoch[092] Batch [2849]/[3760] Speed: 117.094641 samples/sec accuracy=34.566338 loss=2.975296 lr=0.070890 Epoch[092] Batch [2899]/[3760] Speed: 117.622223 samples/sec accuracy=34.567349 loss=2.976111 lr=0.070878 Epoch[092] Batch [2949]/[3760] Speed: 117.008051 samples/sec accuracy=34.563030 loss=2.975931 lr=0.070866 Epoch[092] Batch [2999]/[3760] Speed: 116.960136 samples/sec accuracy=34.534896 loss=2.976702 lr=0.070854 Epoch[092] Batch 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accuracy=34.498214 loss=2.980204 lr=0.070737 Epoch[092] Batch [3549]/[3760] Speed: 116.805396 samples/sec accuracy=34.481514 loss=2.981016 lr=0.070725 Epoch[092] Batch [3599]/[3760] Speed: 117.607792 samples/sec accuracy=34.481337 loss=2.980873 lr=0.070714 Epoch[092] Batch [3649]/[3760] Speed: 116.946646 samples/sec accuracy=34.472603 loss=2.980772 lr=0.070702 Epoch[092] Batch [3699]/[3760] Speed: 117.105950 samples/sec accuracy=34.467061 loss=2.980388 lr=0.070690 Epoch[092] Batch [3749]/[3760] Speed: 119.535012 samples/sec accuracy=34.483750 loss=2.979345 lr=0.070678 Batch [0049]/[0303]: acc-top1=33.125000 acc-top5=59.781250 Batch [0099]/[0303]: acc-top1=31.390625 acc-top5=57.921875 Batch [0149]/[0303]: acc-top1=33.260417 acc-top5=59.156250 Batch [0199]/[0303]: acc-top1=35.468750 acc-top5=61.031250 Batch [0249]/[0303]: acc-top1=35.018750 acc-top5=60.987500 Batch [0299]/[0303]: acc-top1=34.656250 acc-top5=61.208333 [Epoch 092] training: accuracy=34.489279 loss=2.979494 [Epoch 092] speed: 116 samples/sec time cost: 2176.979843 [Epoch 092] validation: acc-top1=34.586427 acc-top5=61.081889 loss=3.163747 Epoch[093] Batch [0049]/[3759] Speed: 86.928614 samples/sec accuracy=35.750000 loss=2.923022 lr=0.070664 Epoch[093] Batch [0099]/[3759] Speed: 117.319462 samples/sec accuracy=35.500000 loss=2.958252 lr=0.070653 Epoch[093] Batch [0149]/[3759] Speed: 117.032326 samples/sec accuracy=35.604167 loss=2.952536 lr=0.070641 Epoch[093] Batch [0199]/[3759] Speed: 117.299038 samples/sec accuracy=35.492188 loss=2.947496 lr=0.070629 Epoch[093] Batch [0249]/[3759] Speed: 116.901410 samples/sec accuracy=35.300000 loss=2.951909 lr=0.070617 Epoch[093] Batch [0299]/[3759] Speed: 116.947166 samples/sec accuracy=35.286458 loss=2.959960 lr=0.070606 Epoch[093] Batch [0349]/[3759] Speed: 117.406421 samples/sec accuracy=35.308036 loss=2.966178 lr=0.070594 Epoch[093] Batch [0399]/[3759] Speed: 117.344605 samples/sec accuracy=35.187500 loss=2.972361 lr=0.070582 Epoch[093] Batch [0449]/[3759] 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accuracy=34.963542 loss=2.959744 lr=0.070465 Epoch[093] Batch [0949]/[3759] Speed: 116.977312 samples/sec accuracy=34.980263 loss=2.960371 lr=0.070453 Epoch[093] Batch [0999]/[3759] Speed: 117.304085 samples/sec accuracy=34.854687 loss=2.963202 lr=0.070441 Epoch[093] Batch [1049]/[3759] Speed: 117.193851 samples/sec accuracy=34.872024 loss=2.960556 lr=0.070429 Epoch[093] Batch [1099]/[3759] Speed: 117.116547 samples/sec accuracy=34.835227 loss=2.962352 lr=0.070417 Epoch[093] Batch [1149]/[3759] Speed: 117.280832 samples/sec accuracy=34.853261 loss=2.961878 lr=0.070406 Epoch[093] Batch [1199]/[3759] Speed: 117.615544 samples/sec accuracy=34.791667 loss=2.963403 lr=0.070394 Epoch[093] Batch [1249]/[3759] Speed: 117.176182 samples/sec accuracy=34.801250 loss=2.965372 lr=0.070382 Epoch[093] Batch [1299]/[3759] Speed: 117.271962 samples/sec accuracy=34.782452 loss=2.966369 lr=0.070370 Epoch[093] Batch [1349]/[3759] Speed: 117.578321 samples/sec accuracy=34.765046 loss=2.967214 lr=0.070359 Epoch[093] Batch [1399]/[3759] Speed: 117.336575 samples/sec accuracy=34.787946 loss=2.965784 lr=0.070347 Epoch[093] Batch [1449]/[3759] Speed: 117.797790 samples/sec accuracy=34.793103 loss=2.966073 lr=0.070335 Epoch[093] Batch [1499]/[3759] Speed: 117.583173 samples/sec accuracy=34.751042 loss=2.968475 lr=0.070323 Epoch[093] Batch [1549]/[3759] Speed: 117.049293 samples/sec accuracy=34.731855 loss=2.968776 lr=0.070311 Epoch[093] Batch [1599]/[3759] Speed: 118.295259 samples/sec accuracy=34.739258 loss=2.968395 lr=0.070300 Epoch[093] Batch [1649]/[3759] Speed: 117.473088 samples/sec accuracy=34.729167 loss=2.968017 lr=0.070288 Epoch[093] Batch [1699]/[3759] Speed: 117.038932 samples/sec accuracy=34.746324 loss=2.967004 lr=0.070276 Epoch[093] Batch [1749]/[3759] Speed: 117.411458 samples/sec accuracy=34.700893 loss=2.968853 lr=0.070264 Epoch[093] Batch [1799]/[3759] Speed: 117.149989 samples/sec accuracy=34.714410 loss=2.968624 lr=0.070252 Epoch[093] Batch [1849]/[3759] Speed: 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loss=2.971980 lr=0.070135 Epoch[093] Batch [2349]/[3759] Speed: 117.069778 samples/sec accuracy=34.684840 loss=2.971872 lr=0.070123 Epoch[093] Batch [2399]/[3759] Speed: 118.212725 samples/sec accuracy=34.690755 loss=2.971033 lr=0.070111 Epoch[093] Batch [2449]/[3759] Speed: 116.979919 samples/sec accuracy=34.713010 loss=2.970091 lr=0.070099 Epoch[093] Batch [2499]/[3759] Speed: 118.157619 samples/sec accuracy=34.723125 loss=2.969644 lr=0.070087 Epoch[093] Batch [2549]/[3759] Speed: 116.247414 samples/sec accuracy=34.726103 loss=2.969709 lr=0.070075 Epoch[093] Batch [2599]/[3759] Speed: 117.037382 samples/sec accuracy=34.699519 loss=2.971189 lr=0.070064 Epoch[093] Batch [2649]/[3759] Speed: 117.977528 samples/sec accuracy=34.702241 loss=2.970878 lr=0.070052 Epoch[093] Batch [2699]/[3759] Speed: 118.238343 samples/sec accuracy=34.712384 loss=2.970078 lr=0.070040 Epoch[093] Batch [2749]/[3759] Speed: 117.371475 samples/sec accuracy=34.714773 loss=2.970192 lr=0.070028 Epoch[093] Batch 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accuracy=34.705288 loss=2.970735 lr=0.069910 Epoch[093] Batch [3299]/[3759] Speed: 118.024814 samples/sec accuracy=34.703125 loss=2.970670 lr=0.069898 Epoch[093] Batch [3349]/[3759] Speed: 117.494255 samples/sec accuracy=34.694963 loss=2.971127 lr=0.069886 Epoch[093] Batch [3399]/[3759] Speed: 116.536718 samples/sec accuracy=34.695772 loss=2.971269 lr=0.069874 Epoch[093] Batch [3449]/[3759] Speed: 117.443265 samples/sec accuracy=34.704710 loss=2.970801 lr=0.069863 Epoch[093] Batch [3499]/[3759] Speed: 117.242368 samples/sec accuracy=34.726339 loss=2.970005 lr=0.069851 Epoch[093] Batch [3549]/[3759] Speed: 117.054687 samples/sec accuracy=34.695423 loss=2.971259 lr=0.069839 Epoch[093] Batch [3599]/[3759] Speed: 116.914006 samples/sec accuracy=34.677083 loss=2.972058 lr=0.069827 Epoch[093] Batch [3649]/[3759] Speed: 117.902636 samples/sec accuracy=34.673801 loss=2.972352 lr=0.069815 Epoch[093] Batch [3699]/[3759] Speed: 117.440240 samples/sec accuracy=34.645693 loss=2.973054 lr=0.069803 Epoch[093] Batch [3749]/[3759] Speed: 120.575061 samples/sec accuracy=34.649167 loss=2.972669 lr=0.069792 Batch [0049]/[0303]: acc-top1=35.656250 acc-top5=63.593750 Batch [0099]/[0303]: acc-top1=34.281250 acc-top5=60.796875 Batch [0149]/[0303]: acc-top1=35.843750 acc-top5=61.760417 Batch [0199]/[0303]: acc-top1=38.085938 acc-top5=63.851562 Batch [0249]/[0303]: acc-top1=37.343750 acc-top5=63.881250 Batch [0299]/[0303]: acc-top1=36.578125 acc-top5=63.619792 [Epoch 093] training: accuracy=34.649757 loss=2.972589 [Epoch 093] speed: 116 samples/sec time cost: 2177.058865 [Epoch 093] validation: acc-top1=36.509901 acc-top5=63.613861 loss=2.921809 Epoch[094] Batch [0049]/[3760] Speed: 87.902987 samples/sec accuracy=34.531250 loss=2.902887 lr=0.069778 Epoch[094] Batch [0099]/[3760] Speed: 117.479955 samples/sec accuracy=35.468750 loss=2.912804 lr=0.069766 Epoch[094] Batch [0149]/[3760] Speed: 117.225307 samples/sec accuracy=35.375000 loss=2.929137 lr=0.069754 Epoch[094] Batch [0199]/[3760] 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accuracy=35.000000 loss=2.949658 lr=0.069635 Epoch[094] Batch [0699]/[3760] Speed: 118.561017 samples/sec accuracy=34.986607 loss=2.949114 lr=0.069624 Epoch[094] Batch [0749]/[3760] Speed: 117.781061 samples/sec accuracy=35.070833 loss=2.947487 lr=0.069612 Epoch[094] Batch [0799]/[3760] Speed: 118.111843 samples/sec accuracy=35.011719 loss=2.949389 lr=0.069600 Epoch[094] Batch [0849]/[3760] Speed: 117.309048 samples/sec accuracy=35.064338 loss=2.947977 lr=0.069588 Epoch[094] Batch [0899]/[3760] Speed: 117.512322 samples/sec accuracy=35.057292 loss=2.950486 lr=0.069576 Epoch[094] Batch [0949]/[3760] Speed: 117.131463 samples/sec accuracy=35.052632 loss=2.949131 lr=0.069564 Epoch[094] Batch [0999]/[3760] Speed: 117.595679 samples/sec accuracy=35.043750 loss=2.948706 lr=0.069552 Epoch[094] Batch [1049]/[3760] Speed: 116.745546 samples/sec accuracy=35.072917 loss=2.946697 lr=0.069540 Epoch[094] Batch [1099]/[3760] Speed: 117.381031 samples/sec accuracy=35.125000 loss=2.947873 lr=0.069529 Epoch[094] Batch [1149]/[3760] Speed: 117.698568 samples/sec accuracy=35.072011 loss=2.951532 lr=0.069517 Epoch[094] Batch [1199]/[3760] Speed: 117.811166 samples/sec accuracy=35.104167 loss=2.951929 lr=0.069505 Epoch[094] Batch [1249]/[3760] Speed: 118.183674 samples/sec accuracy=35.093750 loss=2.953439 lr=0.069493 Epoch[094] Batch [1299]/[3760] Speed: 117.200785 samples/sec accuracy=35.100962 loss=2.952430 lr=0.069481 Epoch[094] Batch [1349]/[3760] Speed: 116.923987 samples/sec accuracy=35.092593 loss=2.952777 lr=0.069469 Epoch[094] Batch [1399]/[3760] Speed: 118.076847 samples/sec accuracy=35.024554 loss=2.955476 lr=0.069457 Epoch[094] Batch [1449]/[3760] Speed: 117.502065 samples/sec accuracy=35.011853 loss=2.956328 lr=0.069445 Epoch[094] Batch [1499]/[3760] Speed: 117.739187 samples/sec accuracy=35.082292 loss=2.954076 lr=0.069434 Epoch[094] Batch [1549]/[3760] Speed: 117.417212 samples/sec accuracy=35.116935 loss=2.951971 lr=0.069422 Epoch[094] Batch [1599]/[3760] Speed: 117.634919 samples/sec accuracy=35.047852 loss=2.954924 lr=0.069410 Epoch[094] Batch [1649]/[3760] Speed: 116.661642 samples/sec accuracy=35.015152 loss=2.955194 lr=0.069398 Epoch[094] Batch [1699]/[3760] Speed: 117.288606 samples/sec accuracy=35.030331 loss=2.954770 lr=0.069386 Epoch[094] Batch [1749]/[3760] Speed: 116.810779 samples/sec accuracy=35.033036 loss=2.955319 lr=0.069374 Epoch[094] Batch [1799]/[3760] Speed: 117.246153 samples/sec accuracy=35.028646 loss=2.955751 lr=0.069362 Epoch[094] Batch [1849]/[3760] Speed: 117.360289 samples/sec accuracy=35.038851 loss=2.954468 lr=0.069350 Epoch[094] Batch [1899]/[3760] Speed: 117.633520 samples/sec accuracy=35.020559 loss=2.954538 lr=0.069338 Epoch[094] Batch [1949]/[3760] Speed: 117.297699 samples/sec accuracy=35.000000 loss=2.956883 lr=0.069327 Epoch[094] Batch [1999]/[3760] Speed: 117.669751 samples/sec accuracy=34.989063 loss=2.956525 lr=0.069315 Epoch[094] Batch [2049]/[3760] Speed: 117.369211 samples/sec accuracy=34.967226 loss=2.958014 lr=0.069303 Epoch[094] Batch [2099]/[3760] Speed: 117.342311 samples/sec accuracy=34.950893 loss=2.958330 lr=0.069291 Epoch[094] Batch [2149]/[3760] Speed: 118.281791 samples/sec accuracy=34.928052 loss=2.959293 lr=0.069279 Epoch[094] Batch [2199]/[3760] Speed: 115.732136 samples/sec accuracy=34.911222 loss=2.960426 lr=0.069267 Epoch[094] Batch [2249]/[3760] Speed: 117.164559 samples/sec accuracy=34.901389 loss=2.960524 lr=0.069255 Epoch[094] Batch [2299]/[3760] Speed: 116.191573 samples/sec accuracy=34.869565 loss=2.962013 lr=0.069243 Epoch[094] Batch [2349]/[3760] Speed: 116.854473 samples/sec accuracy=34.881649 loss=2.961157 lr=0.069231 Epoch[094] Batch [2399]/[3760] Speed: 117.413694 samples/sec accuracy=34.863281 loss=2.961669 lr=0.069219 Epoch[094] Batch [2449]/[3760] Speed: 117.288756 samples/sec accuracy=34.823342 loss=2.962912 lr=0.069208 Epoch[094] Batch [2499]/[3760] Speed: 117.301370 samples/sec accuracy=34.814375 loss=2.963902 lr=0.069196 Epoch[094] Batch [2549]/[3760] Speed: 117.705398 samples/sec accuracy=34.827819 loss=2.963965 lr=0.069184 Epoch[094] Batch [2599]/[3760] Speed: 117.256864 samples/sec accuracy=34.861779 loss=2.963709 lr=0.069172 Epoch[094] Batch [2649]/[3760] Speed: 116.782753 samples/sec accuracy=34.879127 loss=2.963190 lr=0.069160 Epoch[094] Batch [2699]/[3760] Speed: 117.258350 samples/sec accuracy=34.891204 loss=2.962313 lr=0.069148 Epoch[094] Batch [2749]/[3760] Speed: 117.149625 samples/sec accuracy=34.907955 loss=2.961851 lr=0.069136 Epoch[094] Batch [2799]/[3760] Speed: 117.037215 samples/sec accuracy=34.910714 loss=2.962276 lr=0.069124 Epoch[094] Batch [2849]/[3760] Speed: 117.118588 samples/sec accuracy=34.943531 loss=2.961014 lr=0.069112 Epoch[094] Batch [2899]/[3760] Speed: 117.253312 samples/sec accuracy=34.929957 loss=2.961862 lr=0.069100 Epoch[094] Batch [2949]/[3760] Speed: 118.263009 samples/sec accuracy=34.952331 loss=2.962574 lr=0.069088 Epoch[094] Batch [2999]/[3760] Speed: 117.276721 samples/sec accuracy=34.943750 loss=2.963509 lr=0.069076 Epoch[094] Batch [3049]/[3760] Speed: 115.747527 samples/sec accuracy=34.935451 loss=2.963811 lr=0.069065 Epoch[094] Batch [3099]/[3760] Speed: 118.256192 samples/sec accuracy=34.922379 loss=2.964282 lr=0.069053 Epoch[094] Batch [3149]/[3760] Speed: 117.398477 samples/sec accuracy=34.926587 loss=2.963469 lr=0.069041 Epoch[094] Batch [3199]/[3760] Speed: 116.761419 samples/sec accuracy=34.944336 loss=2.962772 lr=0.069029 Epoch[094] Batch [3249]/[3760] Speed: 117.847162 samples/sec accuracy=34.947115 loss=2.962393 lr=0.069017 Epoch[094] Batch [3299]/[3760] Speed: 117.523495 samples/sec accuracy=34.952178 loss=2.962699 lr=0.069005 Epoch[094] Batch [3349]/[3760] Speed: 117.142433 samples/sec accuracy=34.958022 loss=2.962502 lr=0.068993 Epoch[094] Batch [3399]/[3760] Speed: 117.131322 samples/sec accuracy=34.960938 loss=2.962985 lr=0.068981 Epoch[094] Batch [3449]/[3760] Speed: 117.600542 samples/sec accuracy=34.948822 loss=2.962986 lr=0.068969 Epoch[094] Batch [3499]/[3760] Speed: 117.273315 samples/sec accuracy=34.943750 loss=2.962995 lr=0.068957 Epoch[094] Batch [3549]/[3760] Speed: 117.722783 samples/sec accuracy=34.951585 loss=2.963026 lr=0.068945 Epoch[094] Batch [3599]/[3760] Speed: 116.609087 samples/sec accuracy=34.932726 loss=2.963680 lr=0.068933 Epoch[094] Batch [3649]/[3760] Speed: 117.489177 samples/sec accuracy=34.916524 loss=2.964208 lr=0.068921 Epoch[094] Batch [3699]/[3760] Speed: 118.456450 samples/sec accuracy=34.912584 loss=2.964991 lr=0.068909 Epoch[094] Batch [3749]/[3760] Speed: 120.227378 samples/sec accuracy=34.894583 loss=2.965691 lr=0.068897 Batch [0049]/[0303]: acc-top1=36.875000 acc-top5=62.312500 Batch [0099]/[0303]: acc-top1=33.812500 acc-top5=60.359375 Batch [0149]/[0303]: acc-top1=35.260417 acc-top5=61.447917 Batch [0199]/[0303]: acc-top1=37.593750 acc-top5=63.320312 Batch [0249]/[0303]: acc-top1=37.006250 acc-top5=63.212500 Batch [0299]/[0303]: acc-top1=36.171875 acc-top5=62.984375 [Epoch 094] training: accuracy=34.889877 loss=2.966103 [Epoch 094] speed: 116 samples/sec time cost: 2176.632136 [Epoch 094] validation: acc-top1=36.210809 acc-top5=63.046617 loss=2.930863 Epoch[095] Batch [0049]/[3760] Speed: 87.285028 samples/sec accuracy=35.718750 loss=2.913305 lr=0.068883 Epoch[095] Batch [0099]/[3760] Speed: 117.691248 samples/sec accuracy=35.781250 loss=2.897248 lr=0.068871 Epoch[095] Batch [0149]/[3760] Speed: 116.782374 samples/sec accuracy=35.854167 loss=2.906789 lr=0.068859 Epoch[095] Batch [0199]/[3760] Speed: 117.591443 samples/sec accuracy=35.484375 loss=2.927077 lr=0.068847 Epoch[095] Batch [0249]/[3760] Speed: 117.487800 samples/sec accuracy=35.412500 loss=2.925952 lr=0.068835 Epoch[095] Batch [0299]/[3760] Speed: 116.911992 samples/sec accuracy=35.250000 loss=2.935177 lr=0.068823 Epoch[095] Batch [0349]/[3760] Speed: 117.725911 samples/sec accuracy=35.254464 loss=2.930368 lr=0.068811 Epoch[095] Batch [0399]/[3760] Speed: 118.399596 samples/sec accuracy=35.402344 loss=2.931774 lr=0.068800 Epoch[095] Batch [0449]/[3760] Speed: 116.766156 samples/sec accuracy=35.461806 loss=2.930801 lr=0.068788 Epoch[095] Batch [0499]/[3760] Speed: 117.058971 samples/sec accuracy=35.459375 loss=2.931599 lr=0.068776 Epoch[095] Batch [0549]/[3760] Speed: 117.662555 samples/sec accuracy=35.406250 loss=2.931861 lr=0.068764 Epoch[095] Batch [0599]/[3760] Speed: 117.484356 samples/sec accuracy=35.333333 loss=2.933206 lr=0.068752 Epoch[095] Batch [0649]/[3760] Speed: 117.925096 samples/sec accuracy=35.326923 loss=2.931412 lr=0.068740 Epoch[095] Batch [0699]/[3760] Speed: 117.506459 samples/sec accuracy=35.245536 loss=2.935846 lr=0.068728 Epoch[095] Batch [0749]/[3760] Speed: 116.923836 samples/sec accuracy=35.210417 loss=2.938773 lr=0.068716 Epoch[095] Batch [0799]/[3760] Speed: 118.254927 samples/sec accuracy=35.146484 loss=2.941360 lr=0.068704 Epoch[095] Batch [0849]/[3760] Speed: 117.314842 samples/sec accuracy=35.161765 loss=2.940436 lr=0.068692 Epoch[095] Batch [0899]/[3760] Speed: 117.071915 samples/sec accuracy=35.144097 loss=2.939151 lr=0.068680 Epoch[095] Batch [0949]/[3760] Speed: 117.913746 samples/sec accuracy=35.116776 loss=2.940271 lr=0.068668 Epoch[095] Batch [0999]/[3760] Speed: 116.575805 samples/sec accuracy=35.068750 loss=2.941194 lr=0.068656 Epoch[095] Batch [1049]/[3760] Speed: 117.892900 samples/sec accuracy=35.019345 loss=2.942416 lr=0.068644 Epoch[095] Batch [1099]/[3760] Speed: 116.832118 samples/sec accuracy=34.995739 loss=2.945539 lr=0.068632 Epoch[095] Batch [1149]/[3760] Speed: 117.430544 samples/sec accuracy=35.025815 loss=2.946305 lr=0.068620 Epoch[095] Batch [1199]/[3760] Speed: 118.128321 samples/sec accuracy=35.059896 loss=2.946084 lr=0.068608 Epoch[095] Batch [1249]/[3760] Speed: 117.552946 samples/sec accuracy=35.060000 loss=2.945285 lr=0.068596 Epoch[095] Batch [1299]/[3760] Speed: 117.676138 samples/sec accuracy=35.072115 loss=2.946079 lr=0.068584 Epoch[095] Batch [1349]/[3760] Speed: 118.091209 samples/sec accuracy=35.071759 loss=2.947171 lr=0.068572 Epoch[095] Batch [1399]/[3760] Speed: 117.366835 samples/sec accuracy=35.023438 loss=2.948375 lr=0.068560 Epoch[095] Batch [1449]/[3760] Speed: 117.571367 samples/sec accuracy=35.021552 loss=2.948594 lr=0.068548 Epoch[095] Batch [1499]/[3760] Speed: 118.315513 samples/sec accuracy=34.966667 loss=2.951536 lr=0.068536 Epoch[095] Batch [1549]/[3760] Speed: 118.149199 samples/sec accuracy=34.965726 loss=2.951343 lr=0.068524 Epoch[095] Batch [1599]/[3760] Speed: 118.177458 samples/sec accuracy=34.986328 loss=2.951125 lr=0.068512 Epoch[095] Batch [1649]/[3760] Speed: 117.270608 samples/sec accuracy=34.976326 loss=2.951906 lr=0.068500 Epoch[095] Batch [1699]/[3760] Speed: 117.894630 samples/sec accuracy=34.999081 loss=2.950669 lr=0.068488 Epoch[095] Batch [1749]/[3760] Speed: 117.005788 samples/sec accuracy=35.023214 loss=2.949798 lr=0.068476 Epoch[095] Batch [1799]/[3760] Speed: 117.744725 samples/sec accuracy=35.013021 loss=2.950326 lr=0.068464 Epoch[095] Batch [1849]/[3760] Speed: 117.167477 samples/sec accuracy=34.987331 loss=2.951550 lr=0.068452 Epoch[095] Batch [1899]/[3760] Speed: 117.489698 samples/sec accuracy=34.962171 loss=2.953152 lr=0.068440 Epoch[095] Batch [1949]/[3760] Speed: 117.403107 samples/sec accuracy=34.973558 loss=2.953697 lr=0.068428 Epoch[095] Batch [1999]/[3760] Speed: 116.963669 samples/sec accuracy=34.953906 loss=2.953862 lr=0.068416 Epoch[095] Batch [2049]/[3760] Speed: 118.159478 samples/sec accuracy=34.935213 loss=2.954540 lr=0.068404 Epoch[095] Batch [2099]/[3760] Speed: 117.340547 samples/sec accuracy=34.916667 loss=2.955902 lr=0.068392 Epoch[095] Batch [2149]/[3760] Speed: 117.298516 samples/sec accuracy=34.882267 loss=2.956635 lr=0.068380 Epoch[095] Batch [2199]/[3760] Speed: 117.345844 samples/sec accuracy=34.882812 loss=2.956937 lr=0.068368 Epoch[095] Batch [2249]/[3760] Speed: 117.201856 samples/sec accuracy=34.902083 loss=2.956044 lr=0.068356 Epoch[095] Batch [2299]/[3760] Speed: 117.968631 samples/sec accuracy=34.897418 loss=2.956037 lr=0.068344 Epoch[095] Batch [2349]/[3760] Speed: 118.050636 samples/sec accuracy=34.876995 loss=2.957900 lr=0.068332 Epoch[095] Batch [2399]/[3760] Speed: 117.321832 samples/sec accuracy=34.910156 loss=2.956940 lr=0.068320 Epoch[095] Batch [2449]/[3760] Speed: 118.066063 samples/sec accuracy=34.905612 loss=2.957872 lr=0.068308 Epoch[095] Batch [2499]/[3760] Speed: 117.494219 samples/sec accuracy=34.905625 loss=2.959417 lr=0.068296 Epoch[095] Batch [2549]/[3760] Speed: 118.004626 samples/sec accuracy=34.888480 loss=2.959631 lr=0.068284 Epoch[095] Batch [2599]/[3760] Speed: 118.036348 samples/sec accuracy=34.866587 loss=2.959564 lr=0.068272 Epoch[095] Batch [2649]/[3760] Speed: 116.829784 samples/sec accuracy=34.866156 loss=2.959446 lr=0.068260 Epoch[095] Batch [2699]/[3760] Speed: 116.196640 samples/sec accuracy=34.877894 loss=2.959251 lr=0.068248 Epoch[095] Batch [2749]/[3760] Speed: 117.594967 samples/sec accuracy=34.870455 loss=2.960291 lr=0.068236 Epoch[095] Batch [2799]/[3760] Speed: 117.142229 samples/sec accuracy=34.864397 loss=2.960388 lr=0.068224 Epoch[095] Batch [2849]/[3760] Speed: 117.362600 samples/sec accuracy=34.859101 loss=2.959896 lr=0.068212 Epoch[095] Batch [2899]/[3760] Speed: 117.170081 samples/sec accuracy=34.860453 loss=2.959799 lr=0.068200 Epoch[095] Batch [2949]/[3760] Speed: 117.764818 samples/sec accuracy=34.855932 loss=2.960204 lr=0.068188 Epoch[095] Batch [2999]/[3760] Speed: 117.474461 samples/sec accuracy=34.844271 loss=2.960214 lr=0.068176 Epoch[095] Batch [3049]/[3760] Speed: 117.883360 samples/sec accuracy=34.826844 loss=2.960632 lr=0.068164 Epoch[095] Batch [3099]/[3760] Speed: 118.310494 samples/sec accuracy=34.835685 loss=2.960432 lr=0.068152 Epoch[095] Batch [3149]/[3760] Speed: 116.804855 samples/sec accuracy=34.822917 loss=2.960985 lr=0.068140 Epoch[095] Batch [3199]/[3760] Speed: 117.444389 samples/sec accuracy=34.824219 loss=2.960758 lr=0.068128 Epoch[095] Batch [3249]/[3760] Speed: 117.025729 samples/sec accuracy=34.841827 loss=2.960896 lr=0.068116 Epoch[095] Batch [3299]/[3760] Speed: 118.177369 samples/sec accuracy=34.839489 loss=2.960904 lr=0.068104 Epoch[095] Batch [3349]/[3760] Speed: 117.558785 samples/sec accuracy=34.854944 loss=2.960904 lr=0.068092 Epoch[095] Batch [3399]/[3760] Speed: 117.150974 samples/sec accuracy=34.851103 loss=2.961713 lr=0.068080 Epoch[095] Batch [3449]/[3760] Speed: 117.525619 samples/sec accuracy=34.865942 loss=2.961423 lr=0.068068 Epoch[095] Batch [3499]/[3760] Speed: 117.442841 samples/sec accuracy=34.879018 loss=2.960821 lr=0.068056 Epoch[095] Batch [3549]/[3760] Speed: 117.529629 samples/sec accuracy=34.885563 loss=2.960607 lr=0.068044 Epoch[095] Batch [3599]/[3760] Speed: 117.379532 samples/sec accuracy=34.888021 loss=2.960255 lr=0.068032 Epoch[095] Batch [3649]/[3760] Speed: 117.308482 samples/sec accuracy=34.885702 loss=2.960101 lr=0.068020 Epoch[095] Batch [3699]/[3760] Speed: 117.134638 samples/sec accuracy=34.887247 loss=2.960056 lr=0.068008 Epoch[095] Batch [3749]/[3760] Speed: 120.202133 samples/sec accuracy=34.890000 loss=2.960468 lr=0.067996 Batch [0049]/[0303]: acc-top1=35.468750 acc-top5=61.468750 Batch [0099]/[0303]: acc-top1=31.953125 acc-top5=58.281250 Batch [0149]/[0303]: acc-top1=33.406250 acc-top5=59.718750 Batch [0199]/[0303]: acc-top1=35.507812 acc-top5=61.148438 Batch [0249]/[0303]: acc-top1=34.762500 acc-top5=61.275000 Batch [0299]/[0303]: acc-top1=34.536458 acc-top5=61.541667 [Epoch 095] training: accuracy=34.889461 loss=2.960623 [Epoch 095] speed: 116 samples/sec time cost: 2175.069653 [Epoch 095] validation: acc-top1=34.576114 acc-top5=61.545998 loss=3.185577 Epoch[096] Batch [0049]/[3759] Speed: 88.468764 samples/sec accuracy=35.468750 loss=2.979218 lr=0.067982 Epoch[096] Batch [0099]/[3759] Speed: 117.721974 samples/sec accuracy=35.937500 loss=2.933112 lr=0.067970 Epoch[096] Batch [0149]/[3759] Speed: 117.492440 samples/sec accuracy=35.958333 loss=2.921243 lr=0.067958 Epoch[096] Batch [0199]/[3759] Speed: 117.519044 samples/sec accuracy=35.468750 loss=2.943812 lr=0.067945 Epoch[096] Batch [0249]/[3759] Speed: 117.571806 samples/sec accuracy=35.356250 loss=2.948689 lr=0.067933 Epoch[096] Batch [0299]/[3759] Speed: 116.682886 samples/sec accuracy=35.380208 loss=2.949951 lr=0.067921 Epoch[096] Batch [0349]/[3759] Speed: 117.698947 samples/sec accuracy=35.401786 loss=2.941578 lr=0.067909 Epoch[096] Batch [0399]/[3759] Speed: 116.864507 samples/sec accuracy=35.320312 loss=2.944771 lr=0.067897 Epoch[096] Batch [0449]/[3759] Speed: 117.185850 samples/sec accuracy=35.527778 loss=2.939485 lr=0.067885 Epoch[096] Batch [0499]/[3759] Speed: 117.286488 samples/sec accuracy=35.503125 loss=2.942112 lr=0.067873 Epoch[096] Batch [0549]/[3759] Speed: 117.173456 samples/sec accuracy=35.562500 loss=2.934198 lr=0.067861 Epoch[096] Batch [0599]/[3759] Speed: 117.446588 samples/sec accuracy=35.468750 loss=2.936647 lr=0.067849 Epoch[096] Batch [0649]/[3759] Speed: 116.540263 samples/sec accuracy=35.521635 loss=2.933502 lr=0.067837 Epoch[096] Batch [0699]/[3759] Speed: 116.848566 samples/sec accuracy=35.524554 loss=2.934360 lr=0.067825 Epoch[096] Batch [0749]/[3759] Speed: 116.927096 samples/sec accuracy=35.470833 loss=2.934763 lr=0.067813 Epoch[096] Batch [0799]/[3759] Speed: 117.349555 samples/sec accuracy=35.568359 loss=2.933022 lr=0.067801 Epoch[096] Batch [0849]/[3759] Speed: 117.184139 samples/sec accuracy=35.505515 loss=2.933481 lr=0.067789 Epoch[096] Batch [0899]/[3759] Speed: 117.247154 samples/sec accuracy=35.552083 loss=2.930086 lr=0.067777 Epoch[096] Batch [0949]/[3759] Speed: 117.642902 samples/sec accuracy=35.549342 loss=2.930406 lr=0.067765 Epoch[096] Batch [0999]/[3759] Speed: 117.532347 samples/sec accuracy=35.634375 loss=2.928184 lr=0.067753 Epoch[096] Batch [1049]/[3759] Speed: 116.688550 samples/sec accuracy=35.626488 loss=2.927734 lr=0.067741 Epoch[096] Batch [1099]/[3759] Speed: 116.866718 samples/sec accuracy=35.700284 loss=2.926117 lr=0.067729 Epoch[096] Batch [1149]/[3759] Speed: 116.566973 samples/sec accuracy=35.701087 loss=2.928902 lr=0.067717 Epoch[096] Batch [1199]/[3759] Speed: 116.574638 samples/sec accuracy=35.657552 loss=2.930661 lr=0.067704 Epoch[096] Batch [1249]/[3759] Speed: 117.024821 samples/sec accuracy=35.625000 loss=2.931867 lr=0.067692 Epoch[096] Batch [1299]/[3759] Speed: 117.418412 samples/sec accuracy=35.643029 loss=2.932145 lr=0.067680 Epoch[096] Batch [1349]/[3759] Speed: 117.485320 samples/sec accuracy=35.633102 loss=2.932247 lr=0.067668 Epoch[096] Batch [1399]/[3759] Speed: 117.442416 samples/sec accuracy=35.622768 loss=2.933465 lr=0.067656 Epoch[096] Batch [1449]/[3759] Speed: 117.041829 samples/sec accuracy=35.595905 loss=2.933997 lr=0.067644 Epoch[096] Batch [1499]/[3759] Speed: 118.186664 samples/sec accuracy=35.604167 loss=2.934125 lr=0.067632 Epoch[096] Batch [1549]/[3759] Speed: 116.828811 samples/sec accuracy=35.607863 loss=2.934371 lr=0.067620 Epoch[096] Batch [1599]/[3759] Speed: 116.921111 samples/sec accuracy=35.556641 loss=2.934777 lr=0.067608 Epoch[096] Batch [1649]/[3759] Speed: 117.680028 samples/sec accuracy=35.546402 loss=2.934534 lr=0.067596 Epoch[096] Batch [1699]/[3759] Speed: 117.569323 samples/sec accuracy=35.528493 loss=2.934925 lr=0.067584 Epoch[096] Batch [1749]/[3759] Speed: 117.857021 samples/sec accuracy=35.496429 loss=2.935589 lr=0.067572 Epoch[096] Batch [1799]/[3759] Speed: 117.068320 samples/sec accuracy=35.480035 loss=2.936328 lr=0.067560 Epoch[096] Batch [1849]/[3759] Speed: 117.761146 samples/sec accuracy=35.423142 loss=2.938934 lr=0.067548 Epoch[096] Batch [1899]/[3759] Speed: 117.339096 samples/sec accuracy=35.391447 loss=2.939736 lr=0.067536 Epoch[096] Batch [1949]/[3759] Speed: 117.301838 samples/sec accuracy=35.398237 loss=2.940630 lr=0.067523 Epoch[096] Batch [1999]/[3759] Speed: 117.303295 samples/sec accuracy=35.373438 loss=2.941031 lr=0.067511 Epoch[096] Batch 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accuracy=35.328750 loss=2.943999 lr=0.067390 Epoch[096] Batch [2549]/[3759] Speed: 116.916264 samples/sec accuracy=35.300858 loss=2.945462 lr=0.067378 Epoch[096] Batch [2599]/[3759] Speed: 116.974766 samples/sec accuracy=35.302885 loss=2.944897 lr=0.067366 Epoch[096] Batch [2649]/[3759] Speed: 118.336185 samples/sec accuracy=35.324292 loss=2.944162 lr=0.067354 Epoch[096] Batch [2699]/[3759] Speed: 118.178875 samples/sec accuracy=35.337384 loss=2.944291 lr=0.067342 Epoch[096] Batch [2749]/[3759] Speed: 117.094552 samples/sec accuracy=35.307955 loss=2.944722 lr=0.067330 Epoch[096] Batch [2799]/[3759] Speed: 117.778919 samples/sec accuracy=35.303571 loss=2.945751 lr=0.067318 Epoch[096] Batch [2849]/[3759] Speed: 118.015855 samples/sec accuracy=35.279057 loss=2.946587 lr=0.067306 Epoch[096] Batch [2899]/[3759] Speed: 117.929233 samples/sec accuracy=35.267241 loss=2.947082 lr=0.067294 Epoch[096] Batch [2949]/[3759] Speed: 117.522913 samples/sec accuracy=35.249470 loss=2.947449 lr=0.067282 Epoch[096] Batch [2999]/[3759] Speed: 118.083974 samples/sec accuracy=35.227083 loss=2.948944 lr=0.067270 Epoch[096] Batch [3049]/[3759] Speed: 117.479339 samples/sec accuracy=35.224898 loss=2.948660 lr=0.067257 Epoch[096] Batch [3099]/[3759] Speed: 117.273913 samples/sec accuracy=35.215726 loss=2.948854 lr=0.067245 Epoch[096] Batch [3149]/[3759] Speed: 117.427183 samples/sec accuracy=35.186508 loss=2.949318 lr=0.067233 Epoch[096] Batch [3199]/[3759] Speed: 117.608221 samples/sec accuracy=35.173828 loss=2.949475 lr=0.067221 Epoch[096] Batch [3249]/[3759] Speed: 116.583647 samples/sec accuracy=35.144231 loss=2.950181 lr=0.067209 Epoch[096] Batch [3299]/[3759] Speed: 116.527661 samples/sec accuracy=35.152462 loss=2.950524 lr=0.067197 Epoch[096] Batch [3349]/[3759] Speed: 117.274912 samples/sec accuracy=35.153451 loss=2.950771 lr=0.067185 Epoch[096] Batch [3399]/[3759] Speed: 117.244214 samples/sec accuracy=35.170956 loss=2.950779 lr=0.067173 Epoch[096] Batch [3449]/[3759] Speed: 118.294268 samples/sec accuracy=35.158062 loss=2.951399 lr=0.067161 Epoch[096] Batch [3499]/[3759] Speed: 117.674960 samples/sec accuracy=35.158036 loss=2.951751 lr=0.067148 Epoch[096] Batch [3549]/[3759] Speed: 116.677229 samples/sec accuracy=35.137324 loss=2.951968 lr=0.067136 Epoch[096] Batch [3599]/[3759] Speed: 117.405078 samples/sec accuracy=35.138889 loss=2.951641 lr=0.067124 Epoch[096] Batch [3649]/[3759] Speed: 116.434401 samples/sec accuracy=35.126712 loss=2.952100 lr=0.067112 Epoch[096] Batch [3699]/[3759] Speed: 118.185708 samples/sec accuracy=35.118666 loss=2.951583 lr=0.067100 Epoch[096] Batch [3749]/[3759] Speed: 120.123165 samples/sec accuracy=35.132917 loss=2.951168 lr=0.067088 Batch [0049]/[0303]: acc-top1=35.000000 acc-top5=60.187500 Batch [0099]/[0303]: acc-top1=33.468750 acc-top5=58.734375 Batch [0149]/[0303]: acc-top1=35.510417 acc-top5=60.354167 Batch [0199]/[0303]: acc-top1=37.281250 acc-top5=62.375000 Batch [0249]/[0303]: acc-top1=36.737500 acc-top5=62.287500 Batch [0299]/[0303]: acc-top1=36.218750 acc-top5=62.114583 [Epoch 096] training: accuracy=35.131102 loss=2.951404 [Epoch 096] speed: 116 samples/sec time cost: 2177.927941 [Epoch 096] validation: acc-top1=36.143771 acc-top5=62.144183 loss=2.969986 Epoch[097] Batch [0049]/[3760] Speed: 89.347652 samples/sec accuracy=36.062500 loss=2.904113 lr=0.067074 Epoch[097] Batch [0099]/[3760] Speed: 117.632955 samples/sec accuracy=35.375000 loss=2.928287 lr=0.067061 Epoch[097] Batch [0149]/[3760] Speed: 117.118216 samples/sec accuracy=35.093750 loss=2.947251 lr=0.067049 Epoch[097] Batch [0199]/[3760] Speed: 117.595012 samples/sec accuracy=35.007812 loss=2.948129 lr=0.067037 Epoch[097] Batch [0249]/[3760] Speed: 117.250717 samples/sec accuracy=35.231250 loss=2.931034 lr=0.067025 Epoch[097] Batch [0299]/[3760] Speed: 117.048210 samples/sec accuracy=35.229167 loss=2.930539 lr=0.067013 Epoch[097] Batch [0349]/[3760] Speed: 117.158798 samples/sec accuracy=35.392857 loss=2.921370 lr=0.067001 Epoch[097] 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samples/sec accuracy=35.457721 loss=2.930037 lr=0.066879 Epoch[097] Batch [0899]/[3760] Speed: 116.582092 samples/sec accuracy=35.368056 loss=2.933154 lr=0.066867 Epoch[097] Batch [0949]/[3760] Speed: 117.590975 samples/sec accuracy=35.310855 loss=2.934171 lr=0.066855 Epoch[097] Batch [0999]/[3760] Speed: 117.670485 samples/sec accuracy=35.368750 loss=2.931658 lr=0.066843 Epoch[097] Batch [1049]/[3760] Speed: 118.160957 samples/sec accuracy=35.316964 loss=2.935839 lr=0.066831 Epoch[097] Batch [1099]/[3760] Speed: 117.140937 samples/sec accuracy=35.305398 loss=2.938685 lr=0.066819 Epoch[097] Batch [1149]/[3760] Speed: 116.997865 samples/sec accuracy=35.288043 loss=2.939272 lr=0.066807 Epoch[097] Batch [1199]/[3760] Speed: 116.639340 samples/sec accuracy=35.276042 loss=2.939129 lr=0.066794 Epoch[097] Batch [1249]/[3760] Speed: 117.700162 samples/sec accuracy=35.232500 loss=2.939781 lr=0.066782 Epoch[097] Batch [1299]/[3760] Speed: 116.943287 samples/sec accuracy=35.289663 loss=2.937873 lr=0.066770 Epoch[097] Batch [1349]/[3760] Speed: 117.791275 samples/sec accuracy=35.291667 loss=2.938223 lr=0.066758 Epoch[097] Batch [1399]/[3760] Speed: 117.712378 samples/sec accuracy=35.306920 loss=2.938597 lr=0.066746 Epoch[097] Batch [1449]/[3760] Speed: 117.586908 samples/sec accuracy=35.298491 loss=2.938631 lr=0.066734 Epoch[097] Batch [1499]/[3760] Speed: 117.770546 samples/sec accuracy=35.360417 loss=2.935435 lr=0.066722 Epoch[097] Batch [1549]/[3760] Speed: 116.941058 samples/sec accuracy=35.351815 loss=2.935675 lr=0.066709 Epoch[097] Batch [1599]/[3760] Speed: 117.688031 samples/sec accuracy=35.320312 loss=2.936280 lr=0.066697 Epoch[097] Batch [1649]/[3760] Speed: 116.651842 samples/sec accuracy=35.313447 loss=2.937310 lr=0.066685 Epoch[097] Batch [1699]/[3760] Speed: 117.937439 samples/sec accuracy=35.246324 loss=2.939611 lr=0.066673 Epoch[097] Batch [1749]/[3760] Speed: 116.944398 samples/sec accuracy=35.252679 loss=2.940259 lr=0.066661 Epoch[097] Batch [1799]/[3760] Speed: 117.788213 samples/sec accuracy=35.225694 loss=2.941271 lr=0.066649 Epoch[097] Batch [1849]/[3760] Speed: 117.575649 samples/sec accuracy=35.212838 loss=2.942414 lr=0.066636 Epoch[097] Batch [1899]/[3760] Speed: 116.619957 samples/sec accuracy=35.230263 loss=2.941124 lr=0.066624 Epoch[097] Batch [1949]/[3760] Speed: 117.359388 samples/sec accuracy=35.233974 loss=2.940573 lr=0.066612 Epoch[097] Batch [1999]/[3760] Speed: 116.968962 samples/sec accuracy=35.235937 loss=2.941390 lr=0.066600 Epoch[097] Batch [2049]/[3760] Speed: 117.548765 samples/sec accuracy=35.237043 loss=2.940795 lr=0.066588 Epoch[097] Batch [2099]/[3760] Speed: 117.364919 samples/sec accuracy=35.235119 loss=2.941355 lr=0.066576 Epoch[097] Batch [2149]/[3760] Speed: 116.112540 samples/sec accuracy=35.230378 loss=2.940900 lr=0.066563 Epoch[097] Batch [2199]/[3760] Speed: 117.580245 samples/sec accuracy=35.243608 loss=2.941224 lr=0.066551 Epoch[097] Batch [2249]/[3760] Speed: 117.556733 samples/sec accuracy=35.206944 loss=2.942470 lr=0.066539 Epoch[097] Batch [2299]/[3760] Speed: 117.853686 samples/sec accuracy=35.221467 loss=2.941138 lr=0.066527 Epoch[097] Batch [2349]/[3760] Speed: 117.654290 samples/sec accuracy=35.240691 loss=2.940793 lr=0.066515 Epoch[097] Batch [2399]/[3760] Speed: 117.373772 samples/sec accuracy=35.234375 loss=2.941038 lr=0.066503 Epoch[097] Batch [2449]/[3760] Speed: 116.900239 samples/sec accuracy=35.256378 loss=2.940824 lr=0.066490 Epoch[097] Batch [2499]/[3760] Speed: 117.403606 samples/sec accuracy=35.219375 loss=2.942810 lr=0.066478 Epoch[097] Batch [2549]/[3760] Speed: 117.679932 samples/sec accuracy=35.226716 loss=2.943627 lr=0.066466 Epoch[097] Batch [2599]/[3760] Speed: 117.478605 samples/sec accuracy=35.224760 loss=2.944624 lr=0.066454 Epoch[097] Batch [2649]/[3760] Speed: 118.308913 samples/sec accuracy=35.208137 loss=2.945641 lr=0.066442 Epoch[097] Batch [2699]/[3760] Speed: 117.849640 samples/sec accuracy=35.173611 loss=2.947049 lr=0.066429 Epoch[097] Batch [2749]/[3760] Speed: 118.050635 samples/sec accuracy=35.142614 loss=2.948345 lr=0.066417 Epoch[097] Batch [2799]/[3760] Speed: 117.494876 samples/sec accuracy=35.146205 loss=2.948379 lr=0.066405 Epoch[097] Batch [2849]/[3760] Speed: 118.174692 samples/sec accuracy=35.162829 loss=2.947514 lr=0.066393 Epoch[097] Batch [2899]/[3760] Speed: 118.100612 samples/sec accuracy=35.165409 loss=2.947502 lr=0.066381 Epoch[097] Batch [2949]/[3760] Speed: 117.265281 samples/sec accuracy=35.171610 loss=2.947264 lr=0.066369 Epoch[097] Batch [2999]/[3760] Speed: 117.065929 samples/sec accuracy=35.189583 loss=2.946244 lr=0.066356 Epoch[097] Batch [3049]/[3760] Speed: 117.737154 samples/sec accuracy=35.190061 loss=2.946197 lr=0.066344 Epoch[097] Batch [3099]/[3760] Speed: 117.739179 samples/sec accuracy=35.199093 loss=2.945911 lr=0.066332 Epoch[097] Batch [3149]/[3760] Speed: 117.763339 samples/sec accuracy=35.200397 loss=2.946084 lr=0.066320 Epoch[097] Batch [3199]/[3760] Speed: 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loss=2.946824 lr=0.066198 Epoch[097] Batch [3699]/[3760] Speed: 116.811642 samples/sec accuracy=35.111909 loss=2.947699 lr=0.066186 Epoch[097] Batch [3749]/[3760] Speed: 121.155871 samples/sec accuracy=35.102500 loss=2.948083 lr=0.066173 Batch [0049]/[0303]: acc-top1=36.437500 acc-top5=61.500000 Batch [0099]/[0303]: acc-top1=33.390625 acc-top5=59.843750 Batch [0149]/[0303]: acc-top1=35.343750 acc-top5=61.322917 Batch [0199]/[0303]: acc-top1=38.296875 acc-top5=63.828125 Batch [0249]/[0303]: acc-top1=37.206250 acc-top5=63.543750 Batch [0299]/[0303]: acc-top1=36.458333 acc-top5=63.541667 [Epoch 097] training: accuracy=35.103474 loss=2.947732 [Epoch 097] speed: 116 samples/sec time cost: 2174.682642 [Epoch 097] validation: acc-top1=36.478960 acc-top5=63.582921 loss=3.008177 Epoch[098] Batch [0049]/[3759] Speed: 87.686267 samples/sec accuracy=35.906250 loss=2.886578 lr=0.066159 Epoch[098] Batch [0099]/[3759] Speed: 116.437878 samples/sec accuracy=36.218750 loss=2.875015 lr=0.066147 Epoch[098] Batch [0149]/[3759] Speed: 117.239451 samples/sec accuracy=36.135417 loss=2.891496 lr=0.066134 Epoch[098] Batch [0199]/[3759] Speed: 117.304611 samples/sec accuracy=35.921875 loss=2.906364 lr=0.066122 Epoch[098] Batch [0249]/[3759] Speed: 117.792132 samples/sec accuracy=36.143750 loss=2.900766 lr=0.066110 Epoch[098] Batch [0299]/[3759] Speed: 116.883792 samples/sec accuracy=36.171875 loss=2.901132 lr=0.066098 Epoch[098] Batch [0349]/[3759] Speed: 117.497318 samples/sec accuracy=36.044643 loss=2.902986 lr=0.066086 Epoch[098] Batch [0399]/[3759] Speed: 117.929679 samples/sec accuracy=36.058594 loss=2.906089 lr=0.066073 Epoch[098] Batch [0449]/[3759] Speed: 117.281982 samples/sec accuracy=36.079861 loss=2.905517 lr=0.066061 Epoch[098] Batch [0499]/[3759] Speed: 117.653348 samples/sec accuracy=35.959375 loss=2.907275 lr=0.066049 Epoch[098] Batch [0549]/[3759] Speed: 117.325837 samples/sec accuracy=35.934659 loss=2.913446 lr=0.066037 Epoch[098] Batch [0599]/[3759] Speed: 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loss=2.917914 lr=0.065914 Epoch[098] Batch [1099]/[3759] Speed: 117.839560 samples/sec accuracy=35.718750 loss=2.919773 lr=0.065902 Epoch[098] Batch [1149]/[3759] Speed: 117.213880 samples/sec accuracy=35.762228 loss=2.917364 lr=0.065890 Epoch[098] Batch [1199]/[3759] Speed: 117.230799 samples/sec accuracy=35.694010 loss=2.920144 lr=0.065878 Epoch[098] Batch [1249]/[3759] Speed: 118.398028 samples/sec accuracy=35.625000 loss=2.921529 lr=0.065866 Epoch[098] Batch [1299]/[3759] Speed: 117.599007 samples/sec accuracy=35.575721 loss=2.925535 lr=0.065853 Epoch[098] Batch [1349]/[3759] Speed: 117.535610 samples/sec accuracy=35.539352 loss=2.926686 lr=0.065841 Epoch[098] Batch [1399]/[3759] Speed: 117.842407 samples/sec accuracy=35.520089 loss=2.927304 lr=0.065829 Epoch[098] Batch [1449]/[3759] Speed: 117.602179 samples/sec accuracy=35.571121 loss=2.925393 lr=0.065817 Epoch[098] Batch [1499]/[3759] Speed: 117.135951 samples/sec accuracy=35.541667 loss=2.926173 lr=0.065804 Epoch[098] Batch 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accuracy=35.478906 loss=2.929985 lr=0.065682 Epoch[098] Batch [2049]/[3759] Speed: 117.749663 samples/sec accuracy=35.477896 loss=2.929647 lr=0.065670 Epoch[098] Batch [2099]/[3759] Speed: 117.570315 samples/sec accuracy=35.490327 loss=2.929229 lr=0.065657 Epoch[098] Batch [2149]/[3759] Speed: 117.847602 samples/sec accuracy=35.497093 loss=2.929975 lr=0.065645 Epoch[098] Batch [2199]/[3759] Speed: 117.989206 samples/sec accuracy=35.488636 loss=2.929838 lr=0.065633 Epoch[098] Batch [2249]/[3759] Speed: 118.096208 samples/sec accuracy=35.478472 loss=2.930984 lr=0.065621 Epoch[098] Batch [2299]/[3759] Speed: 117.394565 samples/sec accuracy=35.457201 loss=2.931202 lr=0.065608 Epoch[098] Batch [2349]/[3759] Speed: 116.718738 samples/sec accuracy=35.454787 loss=2.930550 lr=0.065596 Epoch[098] Batch [2399]/[3759] Speed: 117.533232 samples/sec accuracy=35.441406 loss=2.932398 lr=0.065584 Epoch[098] Batch [2449]/[3759] Speed: 118.165170 samples/sec accuracy=35.435587 loss=2.932567 lr=0.065572 Epoch[098] Batch [2499]/[3759] Speed: 117.423194 samples/sec accuracy=35.427500 loss=2.932124 lr=0.065559 Epoch[098] Batch [2549]/[3759] Speed: 118.290369 samples/sec accuracy=35.414216 loss=2.933239 lr=0.065547 Epoch[098] Batch [2599]/[3759] Speed: 118.031221 samples/sec accuracy=35.430288 loss=2.932025 lr=0.065535 Epoch[098] Batch [2649]/[3759] Speed: 117.861842 samples/sec accuracy=35.429835 loss=2.932375 lr=0.065523 Epoch[098] Batch [2699]/[3759] Speed: 118.482151 samples/sec accuracy=35.419560 loss=2.932976 lr=0.065510 Epoch[098] Batch [2749]/[3759] Speed: 116.326921 samples/sec accuracy=35.428409 loss=2.932790 lr=0.065498 Epoch[098] Batch [2799]/[3759] Speed: 117.646154 samples/sec accuracy=35.434710 loss=2.932522 lr=0.065486 Epoch[098] Batch [2849]/[3759] Speed: 118.448172 samples/sec accuracy=35.403509 loss=2.934154 lr=0.065474 Epoch[098] Batch [2899]/[3759] Speed: 117.624564 samples/sec accuracy=35.394397 loss=2.935042 lr=0.065461 Epoch[098] Batch [2949]/[3759] Speed: 117.823175 samples/sec accuracy=35.362818 loss=2.936271 lr=0.065449 Epoch[098] Batch [2999]/[3759] Speed: 117.412977 samples/sec accuracy=35.358333 loss=2.936439 lr=0.065437 Epoch[098] Batch [3049]/[3759] Speed: 117.176451 samples/sec accuracy=35.345287 loss=2.936048 lr=0.065425 Epoch[098] Batch [3099]/[3759] Speed: 116.975261 samples/sec accuracy=35.343750 loss=2.936313 lr=0.065412 Epoch[098] Batch [3149]/[3759] Speed: 117.861892 samples/sec accuracy=35.338294 loss=2.936553 lr=0.065400 Epoch[098] Batch [3199]/[3759] Speed: 117.793240 samples/sec accuracy=35.340820 loss=2.936823 lr=0.065388 Epoch[098] Batch [3249]/[3759] Speed: 117.184799 samples/sec accuracy=35.334135 loss=2.937151 lr=0.065375 Epoch[098] Batch [3299]/[3759] Speed: 117.108137 samples/sec accuracy=35.330966 loss=2.937605 lr=0.065363 Epoch[098] Batch [3349]/[3759] Speed: 117.854806 samples/sec accuracy=35.321362 loss=2.937769 lr=0.065351 Epoch[098] Batch [3399]/[3759] Speed: 117.792038 samples/sec accuracy=35.334559 loss=2.937641 lr=0.065339 Epoch[098] Batch [3449]/[3759] Speed: 117.535013 samples/sec accuracy=35.324728 loss=2.938691 lr=0.065326 Epoch[098] Batch [3499]/[3759] Speed: 117.222129 samples/sec accuracy=35.321429 loss=2.939017 lr=0.065314 Epoch[098] Batch [3549]/[3759] Speed: 117.917991 samples/sec accuracy=35.311620 loss=2.938824 lr=0.065302 Epoch[098] Batch [3599]/[3759] Speed: 116.463679 samples/sec accuracy=35.327257 loss=2.938768 lr=0.065290 Epoch[098] Batch [3649]/[3759] Speed: 117.687846 samples/sec accuracy=35.339469 loss=2.938892 lr=0.065277 Epoch[098] Batch [3699]/[3759] Speed: 117.644317 samples/sec accuracy=35.337416 loss=2.938490 lr=0.065265 Epoch[098] Batch [3749]/[3759] Speed: 120.429240 samples/sec accuracy=35.342500 loss=2.938749 lr=0.065253 Batch [0049]/[0303]: acc-top1=36.156250 acc-top5=62.562500 Batch [0099]/[0303]: acc-top1=33.046875 acc-top5=59.765625 Batch [0149]/[0303]: acc-top1=34.385417 acc-top5=60.437500 Batch [0199]/[0303]: acc-top1=37.656250 acc-top5=63.187500 Batch [0249]/[0303]: acc-top1=37.381250 acc-top5=63.537500 Batch [0299]/[0303]: acc-top1=36.203125 acc-top5=63.135417 [Epoch 098] training: accuracy=35.346003 loss=2.938422 [Epoch 098] speed: 116 samples/sec time cost: 2175.073789 [Epoch 098] validation: acc-top1=36.221122 acc-top5=63.170380 loss=2.961499 Epoch[099] Batch [0049]/[3760] Speed: 87.620141 samples/sec accuracy=34.406250 loss=2.946379 lr=0.065238 Epoch[099] Batch [0099]/[3760] Speed: 116.659411 samples/sec accuracy=34.781250 loss=2.907435 lr=0.065226 Epoch[099] Batch [0149]/[3760] Speed: 117.591218 samples/sec accuracy=35.364583 loss=2.908248 lr=0.065214 Epoch[099] Batch [0199]/[3760] Speed: 118.057670 samples/sec accuracy=35.742188 loss=2.896421 lr=0.065201 Epoch[099] Batch [0249]/[3760] Speed: 117.328170 samples/sec accuracy=36.206250 loss=2.880781 lr=0.065189 Epoch[099] Batch [0299]/[3760] Speed: 117.002511 samples/sec accuracy=36.078125 loss=2.890695 lr=0.065177 Epoch[099] Batch [0349]/[3760] Speed: 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accuracy=35.999107 loss=2.909000 lr=0.064820 Epoch[099] Batch [1799]/[3760] Speed: 117.392863 samples/sec accuracy=36.005208 loss=2.908695 lr=0.064808 Epoch[099] Batch [1849]/[3760] Speed: 118.160472 samples/sec accuracy=36.006757 loss=2.908012 lr=0.064795 Epoch[099] Batch [1899]/[3760] Speed: 117.359126 samples/sec accuracy=35.967928 loss=2.910286 lr=0.064783 Epoch[099] Batch [1949]/[3760] Speed: 118.230271 samples/sec accuracy=35.951923 loss=2.911350 lr=0.064771 Epoch[099] Batch [1999]/[3760] Speed: 117.153224 samples/sec accuracy=35.928125 loss=2.912655 lr=0.064758 Epoch[099] Batch [2049]/[3760] Speed: 117.824536 samples/sec accuracy=35.919970 loss=2.913668 lr=0.064746 Epoch[099] Batch [2099]/[3760] Speed: 117.629682 samples/sec accuracy=35.895833 loss=2.914240 lr=0.064734 Epoch[099] Batch [2149]/[3760] Speed: 117.915262 samples/sec accuracy=35.890262 loss=2.914022 lr=0.064721 Epoch[099] Batch [2199]/[3760] Speed: 117.140595 samples/sec accuracy=35.922585 loss=2.913335 lr=0.064709 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[3649]/[3760] Speed: 117.376354 samples/sec accuracy=35.782962 loss=2.918873 lr=0.064351 Epoch[099] Batch [3699]/[3760] Speed: 116.835372 samples/sec accuracy=35.775338 loss=2.919380 lr=0.064339 Epoch[099] Batch [3749]/[3760] Speed: 120.113352 samples/sec accuracy=35.776250 loss=2.919725 lr=0.064326 Batch [0049]/[0303]: acc-top1=35.312500 acc-top5=60.562500 Batch [0099]/[0303]: acc-top1=33.734375 acc-top5=60.343750 Batch [0149]/[0303]: acc-top1=35.156250 acc-top5=61.385417 Batch [0199]/[0303]: acc-top1=38.171875 acc-top5=63.968750 Batch [0249]/[0303]: acc-top1=37.293750 acc-top5=63.612500 Batch [0299]/[0303]: acc-top1=36.947917 acc-top5=63.203125 [Epoch 099] training: accuracy=35.768368 loss=2.919993 [Epoch 099] speed: 116 samples/sec time cost: 2178.599239 [Epoch 099] validation: acc-top1=36.865718 acc-top5=63.144596 loss=2.918059 Epoch[100] Batch [0049]/[3760] Speed: 87.368177 samples/sec accuracy=37.687500 loss=2.844923 lr=0.064312 Epoch[100] Batch [0099]/[3760] Speed: 117.069965 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lr=0.064188 Epoch[100] Batch [0599]/[3760] Speed: 117.458224 samples/sec accuracy=36.091146 loss=2.904833 lr=0.064176 Epoch[100] Batch [0649]/[3760] Speed: 118.329743 samples/sec accuracy=35.995192 loss=2.908478 lr=0.064163 Epoch[100] Batch [0699]/[3760] Speed: 117.801363 samples/sec accuracy=35.970982 loss=2.910897 lr=0.064151 Epoch[100] Batch [0749]/[3760] Speed: 117.691910 samples/sec accuracy=35.941667 loss=2.914821 lr=0.064139 Epoch[100] Batch [0799]/[3760] Speed: 117.781772 samples/sec accuracy=35.908203 loss=2.914659 lr=0.064126 Epoch[100] Batch [0849]/[3760] Speed: 117.856843 samples/sec accuracy=35.860294 loss=2.916716 lr=0.064114 Epoch[100] Batch [0899]/[3760] Speed: 117.913722 samples/sec accuracy=35.845486 loss=2.916267 lr=0.064101 Epoch[100] Batch [0949]/[3760] Speed: 118.850556 samples/sec accuracy=35.792763 loss=2.918429 lr=0.064089 Epoch[100] Batch [0999]/[3760] Speed: 116.876978 samples/sec accuracy=35.790625 loss=2.918817 lr=0.064077 Epoch[100] Batch [1049]/[3760] Speed: 117.217604 samples/sec accuracy=35.741071 loss=2.919480 lr=0.064064 Epoch[100] Batch [1099]/[3760] Speed: 117.426916 samples/sec accuracy=35.734375 loss=2.920174 lr=0.064052 Epoch[100] Batch [1149]/[3760] Speed: 116.887914 samples/sec accuracy=35.756793 loss=2.918560 lr=0.064040 Epoch[100] Batch [1199]/[3760] Speed: 117.556219 samples/sec accuracy=35.777344 loss=2.916818 lr=0.064027 Epoch[100] Batch [1249]/[3760] Speed: 117.493597 samples/sec accuracy=35.786250 loss=2.915933 lr=0.064015 Epoch[100] Batch [1299]/[3760] Speed: 117.484236 samples/sec accuracy=35.764423 loss=2.918292 lr=0.064002 Epoch[100] Batch [1349]/[3760] Speed: 116.345631 samples/sec accuracy=35.754630 loss=2.919343 lr=0.063990 Epoch[100] Batch [1399]/[3760] Speed: 117.630809 samples/sec accuracy=35.755580 loss=2.918890 lr=0.063978 Epoch[100] Batch [1449]/[3760] Speed: 117.233107 samples/sec accuracy=35.725216 loss=2.920535 lr=0.063965 Epoch[100] Batch [1499]/[3760] Speed: 117.770852 samples/sec accuracy=35.698958 loss=2.921967 lr=0.063953 Epoch[100] Batch [1549]/[3760] Speed: 117.648483 samples/sec accuracy=35.730847 loss=2.921309 lr=0.063940 Epoch[100] Batch [1599]/[3760] Speed: 118.155475 samples/sec accuracy=35.733398 loss=2.919938 lr=0.063928 Epoch[100] Batch [1649]/[3760] Speed: 117.352376 samples/sec accuracy=35.732008 loss=2.918823 lr=0.063916 Epoch[100] Batch [1699]/[3760] Speed: 117.826240 samples/sec accuracy=35.716912 loss=2.920268 lr=0.063903 Epoch[100] Batch [1749]/[3760] Speed: 117.374132 samples/sec accuracy=35.721429 loss=2.919142 lr=0.063891 Epoch[100] Batch [1799]/[3760] Speed: 117.200052 samples/sec accuracy=35.702257 loss=2.919372 lr=0.063879 Epoch[100] Batch [1849]/[3760] Speed: 117.677610 samples/sec accuracy=35.699324 loss=2.919308 lr=0.063866 Epoch[100] Batch [1899]/[3760] Speed: 117.597993 samples/sec accuracy=35.701480 loss=2.919317 lr=0.063854 Epoch[100] Batch [1949]/[3760] Speed: 117.727965 samples/sec accuracy=35.709135 loss=2.919032 lr=0.063841 Epoch[100] Batch [1999]/[3760] Speed: 117.551172 samples/sec accuracy=35.711719 loss=2.918930 lr=0.063829 Epoch[100] Batch [2049]/[3760] Speed: 117.856186 samples/sec accuracy=35.728659 loss=2.918723 lr=0.063817 Epoch[100] Batch [2099]/[3760] Speed: 116.659131 samples/sec accuracy=35.697173 loss=2.919990 lr=0.063804 Epoch[100] Batch [2149]/[3760] Speed: 117.106595 samples/sec accuracy=35.717297 loss=2.919662 lr=0.063792 Epoch[100] Batch [2199]/[3760] Speed: 117.397555 samples/sec accuracy=35.722301 loss=2.920185 lr=0.063779 Epoch[100] Batch [2249]/[3760] Speed: 117.193866 samples/sec accuracy=35.693750 loss=2.920666 lr=0.063767 Epoch[100] Batch [2299]/[3760] Speed: 117.413169 samples/sec accuracy=35.696332 loss=2.920315 lr=0.063755 Epoch[100] Batch [2349]/[3760] Speed: 117.921725 samples/sec accuracy=35.706117 loss=2.921435 lr=0.063742 Epoch[100] Batch [2399]/[3760] Speed: 117.505540 samples/sec accuracy=35.683594 loss=2.921851 lr=0.063730 Epoch[100] Batch [2449]/[3760] Speed: 117.705394 samples/sec accuracy=35.663903 loss=2.922169 lr=0.063717 Epoch[100] Batch [2499]/[3760] Speed: 118.098413 samples/sec accuracy=35.674375 loss=2.921718 lr=0.063705 Epoch[100] Batch [2549]/[3760] Speed: 117.467883 samples/sec accuracy=35.645221 loss=2.921684 lr=0.063693 Epoch[100] Batch [2599]/[3760] Speed: 117.726789 samples/sec accuracy=35.631611 loss=2.921987 lr=0.063680 Epoch[100] Batch [2649]/[3760] Speed: 118.085675 samples/sec accuracy=35.631486 loss=2.922297 lr=0.063668 Epoch[100] Batch [2699]/[3760] Speed: 116.401095 samples/sec accuracy=35.660301 loss=2.921658 lr=0.063655 Epoch[100] Batch [2749]/[3760] Speed: 117.642013 samples/sec accuracy=35.652273 loss=2.921654 lr=0.063643 Epoch[100] Batch [2799]/[3760] Speed: 117.415752 samples/sec accuracy=35.647879 loss=2.922123 lr=0.063631 Epoch[100] Batch [2849]/[3760] Speed: 117.594721 samples/sec accuracy=35.674890 loss=2.920657 lr=0.063618 Epoch[100] Batch [2899]/[3760] Speed: 117.568067 samples/sec accuracy=35.665948 loss=2.919935 lr=0.063606 Epoch[100] Batch [2949]/[3760] Speed: 117.283434 samples/sec accuracy=35.685381 loss=2.919934 lr=0.063593 Epoch[100] Batch [2999]/[3760] Speed: 117.862709 samples/sec accuracy=35.673437 loss=2.920293 lr=0.063581 Epoch[100] Batch [3049]/[3760] Speed: 117.223410 samples/sec accuracy=35.663422 loss=2.920782 lr=0.063568 Epoch[100] Batch [3099]/[3760] Speed: 117.846462 samples/sec accuracy=35.665323 loss=2.919883 lr=0.063556 Epoch[100] Batch [3149]/[3760] Speed: 117.938142 samples/sec accuracy=35.655258 loss=2.920103 lr=0.063544 Epoch[100] Batch [3199]/[3760] Speed: 117.114777 samples/sec accuracy=35.648926 loss=2.920014 lr=0.063531 Epoch[100] Batch [3249]/[3760] Speed: 117.246061 samples/sec accuracy=35.646635 loss=2.920486 lr=0.063519 Epoch[100] Batch [3299]/[3760] Speed: 117.485041 samples/sec accuracy=35.660985 loss=2.920030 lr=0.063506 Epoch[100] Batch [3349]/[3760] Speed: 118.287556 samples/sec accuracy=35.666978 loss=2.919471 lr=0.063494 Epoch[100] Batch [3399]/[3760] Speed: 117.322955 samples/sec accuracy=35.676930 loss=2.919406 lr=0.063482 Epoch[100] Batch [3449]/[3760] Speed: 117.994833 samples/sec accuracy=35.669384 loss=2.919605 lr=0.063469 Epoch[100] Batch [3499]/[3760] Speed: 117.293951 samples/sec accuracy=35.648214 loss=2.920751 lr=0.063457 Epoch[100] Batch [3549]/[3760] Speed: 117.120749 samples/sec accuracy=35.652289 loss=2.920995 lr=0.063444 Epoch[100] Batch [3599]/[3760] Speed: 117.397774 samples/sec accuracy=35.660590 loss=2.920259 lr=0.063432 Epoch[100] Batch [3649]/[3760] Speed: 117.214516 samples/sec accuracy=35.675942 loss=2.919186 lr=0.063419 Epoch[100] Batch [3699]/[3760] Speed: 117.352566 samples/sec accuracy=35.656250 loss=2.919916 lr=0.063407 Epoch[100] Batch [3749]/[3760] Speed: 120.486209 samples/sec accuracy=35.652917 loss=2.920129 lr=0.063395 Batch [0049]/[0303]: acc-top1=36.125000 acc-top5=61.312500 Batch [0099]/[0303]: acc-top1=33.484375 acc-top5=60.406250 Batch [0149]/[0303]: acc-top1=35.614583 acc-top5=61.197917 Batch [0199]/[0303]: acc-top1=38.359375 acc-top5=63.656250 Batch [0249]/[0303]: acc-top1=37.318750 acc-top5=63.131250 Batch [0299]/[0303]: acc-top1=36.671875 acc-top5=63.088542 [Epoch 100] training: accuracy=35.648687 loss=2.920194 [Epoch 100] speed: 116 samples/sec time cost: 2174.396685 [Epoch 100] validation: acc-top1=36.576939 acc-top5=63.041460 loss=2.910977 Epoch[101] Batch [0049]/[3759] Speed: 86.244985 samples/sec accuracy=35.625000 loss=2.911393 lr=0.063380 Epoch[101] Batch [0099]/[3759] Speed: 117.498973 samples/sec accuracy=35.781250 loss=2.898349 lr=0.063367 Epoch[101] Batch [0149]/[3759] Speed: 117.310848 samples/sec accuracy=36.364583 loss=2.870313 lr=0.063355 Epoch[101] Batch [0199]/[3759] Speed: 117.556558 samples/sec accuracy=36.492188 loss=2.868190 lr=0.063342 Epoch[101] Batch [0249]/[3759] Speed: 117.627573 samples/sec accuracy=36.387500 loss=2.878020 lr=0.063330 Epoch[101] Batch [0299]/[3759] Speed: 116.512207 samples/sec accuracy=36.223958 loss=2.878785 lr=0.063318 Epoch[101] Batch [0349]/[3759] Speed: 118.103530 samples/sec accuracy=36.236607 loss=2.883179 lr=0.063305 Epoch[101] Batch [0399]/[3759] Speed: 118.140662 samples/sec accuracy=36.265625 loss=2.880892 lr=0.063293 Epoch[101] Batch [0449]/[3759] Speed: 117.804464 samples/sec accuracy=36.218750 loss=2.879389 lr=0.063280 Epoch[101] Batch [0499]/[3759] Speed: 117.383592 samples/sec accuracy=36.193750 loss=2.883037 lr=0.063268 Epoch[101] Batch [0549]/[3759] Speed: 117.493323 samples/sec accuracy=35.994318 loss=2.890566 lr=0.063255 Epoch[101] Batch [0599]/[3759] Speed: 117.707008 samples/sec accuracy=36.020833 loss=2.892348 lr=0.063243 Epoch[101] Batch [0649]/[3759] Speed: 117.521105 samples/sec accuracy=36.117788 loss=2.888073 lr=0.063231 Epoch[101] Batch [0699]/[3759] Speed: 117.517157 samples/sec accuracy=35.950893 loss=2.896964 lr=0.063218 Epoch[101] Batch [0749]/[3759] Speed: 116.998208 samples/sec accuracy=36.010417 loss=2.893512 lr=0.063206 Epoch[101] Batch 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accuracy=35.926250 loss=2.901068 lr=0.063081 Epoch[101] Batch [1299]/[3759] Speed: 117.248404 samples/sec accuracy=35.981971 loss=2.897971 lr=0.063069 Epoch[101] Batch [1349]/[3759] Speed: 117.473469 samples/sec accuracy=36.031250 loss=2.895898 lr=0.063056 Epoch[101] Batch [1399]/[3759] Speed: 117.222957 samples/sec accuracy=36.046875 loss=2.895816 lr=0.063044 Epoch[101] Batch [1449]/[3759] Speed: 117.095304 samples/sec accuracy=36.057112 loss=2.895391 lr=0.063031 Epoch[101] Batch [1499]/[3759] Speed: 117.952937 samples/sec accuracy=36.103125 loss=2.894362 lr=0.063019 Epoch[101] Batch [1549]/[3759] Speed: 117.115677 samples/sec accuracy=36.093750 loss=2.895536 lr=0.063006 Epoch[101] Batch [1599]/[3759] Speed: 118.164628 samples/sec accuracy=36.038086 loss=2.898215 lr=0.062994 Epoch[101] Batch [1649]/[3759] Speed: 117.112219 samples/sec accuracy=36.039773 loss=2.898929 lr=0.062982 Epoch[101] Batch [1699]/[3759] Speed: 116.909566 samples/sec accuracy=36.035846 loss=2.899105 lr=0.062969 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117.035643 samples/sec accuracy=35.967330 loss=2.900633 lr=0.062845 Epoch[101] Batch [2249]/[3759] Speed: 117.542995 samples/sec accuracy=35.969444 loss=2.901507 lr=0.062832 Epoch[101] Batch [2299]/[3759] Speed: 117.755906 samples/sec accuracy=35.993207 loss=2.899895 lr=0.062820 Epoch[101] Batch [2349]/[3759] Speed: 117.410554 samples/sec accuracy=36.001330 loss=2.899347 lr=0.062807 Epoch[101] Batch [2399]/[3759] Speed: 117.489847 samples/sec accuracy=35.986328 loss=2.899535 lr=0.062795 Epoch[101] Batch [2449]/[3759] Speed: 117.812371 samples/sec accuracy=36.008929 loss=2.898587 lr=0.062782 Epoch[101] Batch [2499]/[3759] Speed: 118.350708 samples/sec accuracy=36.023750 loss=2.897805 lr=0.062770 Epoch[101] Batch [2549]/[3759] Speed: 117.226659 samples/sec accuracy=36.009191 loss=2.898644 lr=0.062757 Epoch[101] Batch [2599]/[3759] Speed: 116.474429 samples/sec accuracy=36.003005 loss=2.899392 lr=0.062745 Epoch[101] Batch [2649]/[3759] Speed: 117.479791 samples/sec accuracy=35.992335 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accuracy=35.972656 loss=2.902765 lr=0.062495 Epoch[101] Batch [3649]/[3759] Speed: 117.563701 samples/sec accuracy=35.974743 loss=2.903019 lr=0.062483 Epoch[101] Batch [3699]/[3759] Speed: 118.053763 samples/sec accuracy=35.956503 loss=2.904032 lr=0.062470 Epoch[101] Batch [3749]/[3759] Speed: 120.512189 samples/sec accuracy=35.938333 loss=2.904758 lr=0.062458 Batch [0049]/[0303]: acc-top1=36.437500 acc-top5=61.843750 Batch [0099]/[0303]: acc-top1=34.265625 acc-top5=61.171875 Batch [0149]/[0303]: acc-top1=36.437500 acc-top5=62.552083 Batch [0199]/[0303]: acc-top1=39.531250 acc-top5=64.890625 Batch [0249]/[0303]: acc-top1=38.137500 acc-top5=64.281250 Batch [0299]/[0303]: acc-top1=37.057292 acc-top5=64.088542 [Epoch 101] training: accuracy=35.940825 loss=2.904945 [Epoch 101] speed: 116 samples/sec time cost: 2176.789155 [Epoch 101] validation: acc-top1=37.092616 acc-top5=64.175949 loss=2.964732 Epoch[102] Batch [0049]/[3760] Speed: 86.848907 samples/sec accuracy=34.937500 loss=2.912548 lr=0.062443 Epoch[102] Batch [0099]/[3760] Speed: 117.922783 samples/sec accuracy=36.343750 loss=2.880817 lr=0.062430 Epoch[102] Batch [0149]/[3760] Speed: 116.351284 samples/sec accuracy=36.229167 loss=2.896779 lr=0.062418 Epoch[102] Batch [0199]/[3760] Speed: 117.362386 samples/sec accuracy=36.093750 loss=2.899402 lr=0.062405 Epoch[102] Batch [0249]/[3760] Speed: 116.966599 samples/sec accuracy=35.981250 loss=2.899111 lr=0.062393 Epoch[102] Batch [0299]/[3760] Speed: 117.560534 samples/sec accuracy=36.109375 loss=2.894503 lr=0.062381 Epoch[102] Batch [0349]/[3760] Speed: 116.917604 samples/sec accuracy=36.276786 loss=2.888823 lr=0.062368 Epoch[102] Batch [0399]/[3760] Speed: 117.424172 samples/sec accuracy=36.460938 loss=2.873903 lr=0.062356 Epoch[102] Batch [0449]/[3760] Speed: 117.307120 samples/sec accuracy=36.493056 loss=2.875455 lr=0.062343 Epoch[102] Batch [0499]/[3760] Speed: 117.473983 samples/sec accuracy=36.543750 loss=2.874377 lr=0.062331 Epoch[102] Batch [0549]/[3760] 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accuracy=36.443750 loss=2.876803 lr=0.062205 Epoch[102] Batch [1049]/[3760] Speed: 117.906722 samples/sec accuracy=36.388393 loss=2.880125 lr=0.062193 Epoch[102] Batch [1099]/[3760] Speed: 116.929830 samples/sec accuracy=36.359375 loss=2.880474 lr=0.062180 Epoch[102] Batch [1149]/[3760] Speed: 117.671400 samples/sec accuracy=36.413043 loss=2.878055 lr=0.062168 Epoch[102] Batch [1199]/[3760] Speed: 117.683925 samples/sec accuracy=36.442708 loss=2.878000 lr=0.062155 Epoch[102] Batch [1249]/[3760] Speed: 117.655856 samples/sec accuracy=36.446250 loss=2.878647 lr=0.062143 Epoch[102] Batch [1299]/[3760] Speed: 117.520099 samples/sec accuracy=36.417067 loss=2.880172 lr=0.062130 Epoch[102] Batch [1349]/[3760] Speed: 117.360789 samples/sec accuracy=36.434028 loss=2.878352 lr=0.062118 Epoch[102] Batch [1399]/[3760] Speed: 117.307347 samples/sec accuracy=36.473214 loss=2.876293 lr=0.062105 Epoch[102] Batch [1449]/[3760] Speed: 118.012039 samples/sec accuracy=36.448276 loss=2.876594 lr=0.062093 Epoch[102] Batch [1499]/[3760] Speed: 118.145721 samples/sec accuracy=36.475000 loss=2.874785 lr=0.062080 Epoch[102] Batch [1549]/[3760] Speed: 117.013497 samples/sec accuracy=36.446573 loss=2.875356 lr=0.062068 Epoch[102] Batch [1599]/[3760] Speed: 118.135199 samples/sec accuracy=36.500000 loss=2.873466 lr=0.062055 Epoch[102] Batch [1649]/[3760] Speed: 117.844572 samples/sec accuracy=36.473485 loss=2.875547 lr=0.062043 Epoch[102] Batch [1699]/[3760] Speed: 116.634443 samples/sec accuracy=36.426471 loss=2.876392 lr=0.062030 Epoch[102] Batch [1749]/[3760] Speed: 117.299190 samples/sec accuracy=36.377679 loss=2.878429 lr=0.062018 Epoch[102] Batch [1799]/[3760] Speed: 117.393295 samples/sec accuracy=36.387153 loss=2.877884 lr=0.062005 Epoch[102] Batch [1849]/[3760] Speed: 117.726624 samples/sec accuracy=36.396959 loss=2.877077 lr=0.061993 Epoch[102] Batch [1899]/[3760] Speed: 118.399560 samples/sec accuracy=36.414474 loss=2.876058 lr=0.061980 Epoch[102] Batch [1949]/[3760] Speed: 117.602566 samples/sec accuracy=36.381410 loss=2.878477 lr=0.061968 Epoch[102] Batch [1999]/[3760] Speed: 116.783557 samples/sec accuracy=36.364844 loss=2.879761 lr=0.061955 Epoch[102] Batch [2049]/[3760] Speed: 117.338825 samples/sec accuracy=36.331555 loss=2.881318 lr=0.061943 Epoch[102] Batch [2099]/[3760] Speed: 116.679887 samples/sec accuracy=36.359375 loss=2.879476 lr=0.061930 Epoch[102] Batch [2149]/[3760] Speed: 117.228371 samples/sec accuracy=36.353924 loss=2.880996 lr=0.061918 Epoch[102] Batch [2199]/[3760] Speed: 117.690705 samples/sec accuracy=36.325284 loss=2.881329 lr=0.061905 Epoch[102] Batch [2249]/[3760] Speed: 117.481729 samples/sec accuracy=36.277778 loss=2.882750 lr=0.061893 Epoch[102] Batch [2299]/[3760] Speed: 116.684760 samples/sec accuracy=36.290082 loss=2.883193 lr=0.061880 Epoch[102] Batch [2349]/[3760] Speed: 117.947212 samples/sec accuracy=36.326463 loss=2.883064 lr=0.061867 Epoch[102] Batch [2399]/[3760] Speed: 117.682727 samples/sec accuracy=36.330078 loss=2.883417 lr=0.061855 Epoch[102] Batch [2449]/[3760] Speed: 117.191066 samples/sec accuracy=36.316964 loss=2.882960 lr=0.061842 Epoch[102] Batch [2499]/[3760] Speed: 117.758785 samples/sec accuracy=36.298750 loss=2.883779 lr=0.061830 Epoch[102] Batch [2549]/[3760] Speed: 117.389246 samples/sec accuracy=36.307598 loss=2.883761 lr=0.061817 Epoch[102] Batch [2599]/[3760] Speed: 117.326577 samples/sec accuracy=36.319712 loss=2.883422 lr=0.061805 Epoch[102] Batch [2649]/[3760] Speed: 116.832964 samples/sec accuracy=36.327830 loss=2.883227 lr=0.061792 Epoch[102] Batch [2699]/[3760] Speed: 117.386405 samples/sec accuracy=36.296296 loss=2.885141 lr=0.061780 Epoch[102] Batch [2749]/[3760] Speed: 117.480542 samples/sec accuracy=36.272727 loss=2.885338 lr=0.061767 Epoch[102] Batch [2799]/[3760] Speed: 117.966041 samples/sec accuracy=36.292969 loss=2.885403 lr=0.061755 Epoch[102] Batch [2849]/[3760] Speed: 117.255507 samples/sec accuracy=36.268092 loss=2.885860 lr=0.061742 Epoch[102] Batch [2899]/[3760] Speed: 116.493885 samples/sec accuracy=36.258621 loss=2.885954 lr=0.061730 Epoch[102] Batch [2949]/[3760] Speed: 117.584255 samples/sec accuracy=36.281250 loss=2.886259 lr=0.061717 Epoch[102] Batch [2999]/[3760] Speed: 117.312414 samples/sec accuracy=36.263021 loss=2.887353 lr=0.061705 Epoch[102] Batch [3049]/[3760] Speed: 117.419177 samples/sec accuracy=36.263320 loss=2.887954 lr=0.061692 Epoch[102] Batch [3099]/[3760] Speed: 117.061340 samples/sec accuracy=36.242440 loss=2.888546 lr=0.061679 Epoch[102] Batch [3149]/[3760] Speed: 116.949448 samples/sec accuracy=36.250000 loss=2.887722 lr=0.061667 Epoch[102] Batch [3199]/[3760] Speed: 117.182467 samples/sec accuracy=36.232422 loss=2.888619 lr=0.061654 Epoch[102] Batch [3249]/[3760] Speed: 116.941515 samples/sec accuracy=36.220673 loss=2.889280 lr=0.061642 Epoch[102] Batch [3299]/[3760] Speed: 117.621590 samples/sec accuracy=36.205492 loss=2.890275 lr=0.061629 Epoch[102] Batch [3349]/[3760] Speed: 117.454924 samples/sec accuracy=36.220616 loss=2.889649 lr=0.061617 Epoch[102] Batch [3399]/[3760] Speed: 117.468193 samples/sec accuracy=36.199449 loss=2.890582 lr=0.061604 Epoch[102] Batch [3449]/[3760] Speed: 117.864111 samples/sec accuracy=36.187047 loss=2.890950 lr=0.061592 Epoch[102] Batch [3499]/[3760] Speed: 116.971075 samples/sec accuracy=36.180357 loss=2.891910 lr=0.061579 Epoch[102] Batch [3549]/[3760] Speed: 117.503288 samples/sec accuracy=36.188820 loss=2.891323 lr=0.061567 Epoch[102] Batch [3599]/[3760] Speed: 116.369341 samples/sec accuracy=36.194444 loss=2.890883 lr=0.061554 Epoch[102] Batch [3649]/[3760] Speed: 117.712874 samples/sec accuracy=36.196062 loss=2.891775 lr=0.061541 Epoch[102] Batch [3699]/[3760] Speed: 117.681067 samples/sec accuracy=36.180743 loss=2.892200 lr=0.061529 Epoch[102] Batch [3749]/[3760] Speed: 120.348939 samples/sec accuracy=36.147917 loss=2.892970 lr=0.061516 Batch [0049]/[0303]: acc-top1=37.968750 acc-top5=64.750000 Batch [0099]/[0303]: acc-top1=33.984375 acc-top5=61.359375 Batch [0149]/[0303]: acc-top1=36.187500 acc-top5=63.020833 Batch [0199]/[0303]: acc-top1=39.031250 acc-top5=65.109375 Batch [0249]/[0303]: acc-top1=38.581250 acc-top5=64.906250 Batch [0299]/[0303]: acc-top1=37.822917 acc-top5=64.869792 [Epoch 102] training: accuracy=36.146941 loss=2.893135 [Epoch 102] speed: 116 samples/sec time cost: 2176.461984 [Epoch 102] validation: acc-top1=37.773309 acc-top5=64.841172 loss=2.855371 Epoch[103] Batch [0049]/[3760] Speed: 85.833244 samples/sec accuracy=36.093750 loss=2.868631 lr=0.061501 Epoch[103] Batch [0099]/[3760] Speed: 117.590192 samples/sec accuracy=36.656250 loss=2.851917 lr=0.061489 Epoch[103] Batch [0149]/[3760] Speed: 116.887198 samples/sec accuracy=36.093750 loss=2.884849 lr=0.061476 Epoch[103] Batch [0199]/[3760] Speed: 117.234937 samples/sec accuracy=36.078125 loss=2.868608 lr=0.061464 Epoch[103] Batch [0249]/[3760] Speed: 116.767666 samples/sec accuracy=36.131250 loss=2.872714 lr=0.061451 Epoch[103] Batch 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accuracy=36.020833 loss=2.882432 lr=0.061326 Epoch[103] Batch [0799]/[3760] Speed: 117.881262 samples/sec accuracy=36.125000 loss=2.880820 lr=0.061313 Epoch[103] Batch [0849]/[3760] Speed: 117.574088 samples/sec accuracy=36.185662 loss=2.878990 lr=0.061300 Epoch[103] Batch [0899]/[3760] Speed: 117.410103 samples/sec accuracy=36.223958 loss=2.879932 lr=0.061288 Epoch[103] Batch [0949]/[3760] Speed: 117.159036 samples/sec accuracy=36.245066 loss=2.879798 lr=0.061275 Epoch[103] Batch [0999]/[3760] Speed: 116.591417 samples/sec accuracy=36.228125 loss=2.879205 lr=0.061263 Epoch[103] Batch [1049]/[3760] Speed: 117.607411 samples/sec accuracy=36.211310 loss=2.882331 lr=0.061250 Epoch[103] Batch [1099]/[3760] Speed: 117.872353 samples/sec accuracy=36.237216 loss=2.882241 lr=0.061238 Epoch[103] Batch [1149]/[3760] Speed: 117.686046 samples/sec accuracy=36.229620 loss=2.884302 lr=0.061225 Epoch[103] Batch [1199]/[3760] Speed: 117.493695 samples/sec accuracy=36.244792 loss=2.882451 lr=0.061212 Epoch[103] Batch [1249]/[3760] Speed: 117.822035 samples/sec accuracy=36.245000 loss=2.882678 lr=0.061200 Epoch[103] Batch [1299]/[3760] Speed: 117.741859 samples/sec accuracy=36.258413 loss=2.882975 lr=0.061187 Epoch[103] Batch [1349]/[3760] Speed: 116.456859 samples/sec accuracy=36.254630 loss=2.882010 lr=0.061175 Epoch[103] Batch [1399]/[3760] Speed: 116.910101 samples/sec accuracy=36.281250 loss=2.880273 lr=0.061162 Epoch[103] Batch [1449]/[3760] Speed: 117.607595 samples/sec accuracy=36.240302 loss=2.881159 lr=0.061150 Epoch[103] Batch [1499]/[3760] Speed: 117.126557 samples/sec accuracy=36.202083 loss=2.881652 lr=0.061137 Epoch[103] Batch [1549]/[3760] Speed: 117.001500 samples/sec accuracy=36.185484 loss=2.882947 lr=0.061124 Epoch[103] Batch [1599]/[3760] Speed: 117.841752 samples/sec accuracy=36.166992 loss=2.882050 lr=0.061112 Epoch[103] Batch [1649]/[3760] Speed: 116.870008 samples/sec accuracy=36.189394 loss=2.881849 lr=0.061099 Epoch[103] Batch [1699]/[3760] Speed: 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accuracy=36.234375 loss=2.885764 lr=0.060734 Epoch[103] Batch [3149]/[3760] Speed: 117.128479 samples/sec accuracy=36.249008 loss=2.884815 lr=0.060722 Epoch[103] Batch [3199]/[3760] Speed: 117.548626 samples/sec accuracy=36.261230 loss=2.884435 lr=0.060709 Epoch[103] Batch [3249]/[3760] Speed: 117.003694 samples/sec accuracy=36.262019 loss=2.884221 lr=0.060696 Epoch[103] Batch [3299]/[3760] Speed: 116.943725 samples/sec accuracy=36.272254 loss=2.884370 lr=0.060684 Epoch[103] Batch [3349]/[3760] Speed: 117.509673 samples/sec accuracy=36.285448 loss=2.883591 lr=0.060671 Epoch[103] Batch [3399]/[3760] Speed: 118.116581 samples/sec accuracy=36.273897 loss=2.884588 lr=0.060659 Epoch[103] Batch [3449]/[3760] Speed: 117.016334 samples/sec accuracy=36.251359 loss=2.885861 lr=0.060646 Epoch[103] Batch [3499]/[3760] Speed: 117.747294 samples/sec accuracy=36.243750 loss=2.886348 lr=0.060633 Epoch[103] Batch [3549]/[3760] Speed: 116.790016 samples/sec accuracy=36.261444 loss=2.885623 lr=0.060621 Epoch[103] Batch [3599]/[3760] Speed: 117.526090 samples/sec accuracy=36.262153 loss=2.885734 lr=0.060608 Epoch[103] Batch [3649]/[3760] Speed: 116.653902 samples/sec accuracy=36.260702 loss=2.886078 lr=0.060596 Epoch[103] Batch [3699]/[3760] Speed: 117.473769 samples/sec accuracy=36.243666 loss=2.886982 lr=0.060583 Epoch[103] Batch [3749]/[3760] Speed: 120.699547 samples/sec accuracy=36.266250 loss=2.886304 lr=0.060570 Batch [0049]/[0303]: acc-top1=37.468750 acc-top5=64.062500 Batch [0099]/[0303]: acc-top1=34.968750 acc-top5=63.078125 Batch [0149]/[0303]: acc-top1=36.510417 acc-top5=63.645833 Batch [0199]/[0303]: acc-top1=39.757812 acc-top5=65.554688 Batch [0249]/[0303]: acc-top1=39.087500 acc-top5=64.956250 Batch [0299]/[0303]: acc-top1=38.578125 acc-top5=64.927083 [Epoch 103] training: accuracy=36.267453 loss=2.886065 [Epoch 103] speed: 116 samples/sec time cost: 2177.815857 [Epoch 103] validation: acc-top1=38.567450 acc-top5=64.928837 loss=2.874636 Epoch[104] Batch [0049]/[3759] 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loss=2.876500 lr=0.060088 Epoch[104] Batch [1949]/[3759] Speed: 118.216614 samples/sec accuracy=36.514423 loss=2.876528 lr=0.060076 Epoch[104] Batch [1999]/[3759] Speed: 116.865348 samples/sec accuracy=36.516406 loss=2.877056 lr=0.060063 Epoch[104] Batch [2049]/[3759] Speed: 117.563391 samples/sec accuracy=36.499238 loss=2.877644 lr=0.060051 Epoch[104] Batch [2099]/[3759] Speed: 117.363864 samples/sec accuracy=36.487351 loss=2.877937 lr=0.060038 Epoch[104] Batch [2149]/[3759] Speed: 117.010165 samples/sec accuracy=36.497093 loss=2.877722 lr=0.060025 Epoch[104] Batch [2199]/[3759] Speed: 117.087230 samples/sec accuracy=36.497159 loss=2.878037 lr=0.060013 Epoch[104] Batch [2249]/[3759] Speed: 118.272335 samples/sec accuracy=36.507639 loss=2.878104 lr=0.060000 Epoch[104] Batch [2299]/[3759] Speed: 117.116853 samples/sec accuracy=36.538043 loss=2.876409 lr=0.059987 Epoch[104] Batch [2349]/[3759] Speed: 116.913220 samples/sec accuracy=36.518617 loss=2.876536 lr=0.059975 Epoch[104] Batch 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accuracy=36.512061 loss=2.878349 lr=0.059848 Epoch[104] Batch [2899]/[3759] Speed: 117.311946 samples/sec accuracy=36.531250 loss=2.877589 lr=0.059836 Epoch[104] Batch [2949]/[3759] Speed: 117.465004 samples/sec accuracy=36.539195 loss=2.877872 lr=0.059823 Epoch[104] Batch [2999]/[3759] Speed: 117.458094 samples/sec accuracy=36.538542 loss=2.877446 lr=0.059810 Epoch[104] Batch [3049]/[3759] Speed: 118.126536 samples/sec accuracy=36.516906 loss=2.877522 lr=0.059798 Epoch[104] Batch [3099]/[3759] Speed: 117.051704 samples/sec accuracy=36.538810 loss=2.876467 lr=0.059785 Epoch[104] Batch [3149]/[3759] Speed: 116.773872 samples/sec accuracy=36.551091 loss=2.876035 lr=0.059772 Epoch[104] Batch [3199]/[3759] Speed: 117.013523 samples/sec accuracy=36.558105 loss=2.875196 lr=0.059760 Epoch[104] Batch [3249]/[3759] Speed: 116.766336 samples/sec accuracy=36.563462 loss=2.875314 lr=0.059747 Epoch[104] Batch [3299]/[3759] Speed: 118.184704 samples/sec accuracy=36.577178 loss=2.874859 lr=0.059734 Epoch[104] Batch [3349]/[3759] Speed: 117.744977 samples/sec accuracy=36.573228 loss=2.874455 lr=0.059722 Epoch[104] Batch [3399]/[3759] Speed: 117.397486 samples/sec accuracy=36.539982 loss=2.875715 lr=0.059709 Epoch[104] Batch [3449]/[3759] Speed: 117.585506 samples/sec accuracy=36.556612 loss=2.874508 lr=0.059696 Epoch[104] Batch [3499]/[3759] Speed: 117.668216 samples/sec accuracy=36.566518 loss=2.874746 lr=0.059684 Epoch[104] Batch [3549]/[3759] Speed: 117.603679 samples/sec accuracy=36.580106 loss=2.874412 lr=0.059671 Epoch[104] Batch [3599]/[3759] Speed: 116.014829 samples/sec accuracy=36.575521 loss=2.875102 lr=0.059659 Epoch[104] Batch [3649]/[3759] Speed: 117.500585 samples/sec accuracy=36.590753 loss=2.874862 lr=0.059646 Epoch[104] Batch [3699]/[3759] Speed: 117.974739 samples/sec accuracy=36.560389 loss=2.875442 lr=0.059633 Epoch[104] Batch [3749]/[3759] Speed: 120.287302 samples/sec accuracy=36.557083 loss=2.876515 lr=0.059621 Batch [0049]/[0303]: acc-top1=33.531250 acc-top5=57.687500 Batch [0099]/[0303]: acc-top1=31.625000 acc-top5=56.718750 Batch [0149]/[0303]: acc-top1=32.885417 acc-top5=58.833333 Batch [0199]/[0303]: acc-top1=35.507812 acc-top5=60.882813 Batch [0249]/[0303]: acc-top1=34.450000 acc-top5=60.512500 Batch [0299]/[0303]: acc-top1=34.635417 acc-top5=61.062500 [Epoch 104] training: accuracy=36.547702 loss=2.876948 [Epoch 104] speed: 116 samples/sec time cost: 2176.441641 [Epoch 104] validation: acc-top1=34.637995 acc-top5=61.143771 loss=3.136478 Epoch[105] Batch [0049]/[3760] Speed: 85.890300 samples/sec accuracy=38.468750 loss=2.809970 lr=0.059606 Epoch[105] Batch [0099]/[3760] Speed: 118.411660 samples/sec accuracy=37.593750 loss=2.829292 lr=0.059593 Epoch[105] Batch [0149]/[3760] Speed: 117.629264 samples/sec accuracy=37.572917 loss=2.824719 lr=0.059580 Epoch[105] Batch [0199]/[3760] Speed: 117.532734 samples/sec accuracy=37.375000 loss=2.827859 lr=0.059568 Epoch[105] Batch [0249]/[3760] Speed: 117.480332 samples/sec accuracy=37.237500 loss=2.831506 lr=0.059555 Epoch[105] Batch [0299]/[3760] Speed: 117.398116 samples/sec accuracy=37.072917 loss=2.840308 lr=0.059542 Epoch[105] Batch [0349]/[3760] Speed: 117.803753 samples/sec accuracy=37.080357 loss=2.848628 lr=0.059530 Epoch[105] Batch [0399]/[3760] Speed: 116.684415 samples/sec accuracy=37.101562 loss=2.847278 lr=0.059517 Epoch[105] Batch [0449]/[3760] Speed: 117.502466 samples/sec accuracy=37.131944 loss=2.848926 lr=0.059504 Epoch[105] Batch [0499]/[3760] Speed: 117.662000 samples/sec accuracy=37.100000 loss=2.850879 lr=0.059492 Epoch[105] Batch [0549]/[3760] Speed: 116.824137 samples/sec accuracy=37.088068 loss=2.851128 lr=0.059479 Epoch[105] Batch [0599]/[3760] Speed: 117.964146 samples/sec accuracy=36.908854 loss=2.854689 lr=0.059466 Epoch[105] Batch [0649]/[3760] Speed: 117.299952 samples/sec accuracy=36.947115 loss=2.852191 lr=0.059454 Epoch[105] Batch [0699]/[3760] Speed: 117.102762 samples/sec accuracy=36.964286 loss=2.854942 lr=0.059441 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accuracy=36.666466 loss=2.866642 lr=0.058959 Epoch[105] Batch [2649]/[3760] Speed: 117.539180 samples/sec accuracy=36.676297 loss=2.866717 lr=0.058947 Epoch[105] Batch [2699]/[3760] Speed: 117.392138 samples/sec accuracy=36.699074 loss=2.866424 lr=0.058934 Epoch[105] Batch [2749]/[3760] Speed: 117.422659 samples/sec accuracy=36.719886 loss=2.866548 lr=0.058921 Epoch[105] Batch [2799]/[3760] Speed: 117.749124 samples/sec accuracy=36.725446 loss=2.867056 lr=0.058909 Epoch[105] Batch [2849]/[3760] Speed: 117.338160 samples/sec accuracy=36.726425 loss=2.866666 lr=0.058896 Epoch[105] Batch [2899]/[3760] Speed: 117.210614 samples/sec accuracy=36.724138 loss=2.866686 lr=0.058883 Epoch[105] Batch [2949]/[3760] Speed: 118.160652 samples/sec accuracy=36.736229 loss=2.866715 lr=0.058870 Epoch[105] Batch [2999]/[3760] Speed: 118.025363 samples/sec accuracy=36.721875 loss=2.866915 lr=0.058858 Epoch[105] Batch [3049]/[3760] Speed: 117.116578 samples/sec accuracy=36.718750 loss=2.866888 lr=0.058845 Epoch[105] Batch [3099]/[3760] Speed: 116.733286 samples/sec accuracy=36.714718 loss=2.867445 lr=0.058832 Epoch[105] Batch [3149]/[3760] Speed: 117.508230 samples/sec accuracy=36.716766 loss=2.867069 lr=0.058820 Epoch[105] Batch [3199]/[3760] Speed: 117.727145 samples/sec accuracy=36.712891 loss=2.867161 lr=0.058807 Epoch[105] Batch [3249]/[3760] Speed: 118.160098 samples/sec accuracy=36.701442 loss=2.867650 lr=0.058794 Epoch[105] Batch [3299]/[3760] Speed: 117.409585 samples/sec accuracy=36.714489 loss=2.866263 lr=0.058782 Epoch[105] Batch [3349]/[3760] Speed: 118.433946 samples/sec accuracy=36.701026 loss=2.866448 lr=0.058769 Epoch[105] Batch [3399]/[3760] Speed: 117.539529 samples/sec accuracy=36.694393 loss=2.866600 lr=0.058756 Epoch[105] Batch [3449]/[3760] Speed: 117.655479 samples/sec accuracy=36.705616 loss=2.865955 lr=0.058744 Epoch[105] Batch [3499]/[3760] Speed: 118.433394 samples/sec accuracy=36.682589 loss=2.866305 lr=0.058731 Epoch[105] Batch [3549]/[3760] Speed: 116.594477 samples/sec accuracy=36.679577 loss=2.866366 lr=0.058718 Epoch[105] Batch [3599]/[3760] Speed: 118.390674 samples/sec accuracy=36.664497 loss=2.866422 lr=0.058705 Epoch[105] Batch [3649]/[3760] Speed: 117.642548 samples/sec accuracy=36.685360 loss=2.865357 lr=0.058693 Epoch[105] Batch [3699]/[3760] Speed: 117.421889 samples/sec accuracy=36.660473 loss=2.866550 lr=0.058680 Epoch[105] Batch [3749]/[3760] Speed: 120.260318 samples/sec accuracy=36.670833 loss=2.866407 lr=0.058667 Batch [0049]/[0303]: acc-top1=35.656250 acc-top5=62.500000 Batch [0099]/[0303]: acc-top1=34.625000 acc-top5=62.343750 Batch [0149]/[0303]: acc-top1=35.739583 acc-top5=62.510417 Batch [0199]/[0303]: acc-top1=38.867188 acc-top5=65.171875 Batch [0249]/[0303]: acc-top1=38.106250 acc-top5=64.781250 Batch [0299]/[0303]: acc-top1=38.010417 acc-top5=65.031250 [Epoch 105] training: accuracy=36.682181 loss=2.866072 [Epoch 105] speed: 116 samples/sec time cost: 2176.966857 [Epoch 105] validation: acc-top1=37.953795 acc-top5=64.944307 loss=2.924250 Epoch[106] Batch [0049]/[3760] Speed: 88.861545 samples/sec accuracy=38.031250 loss=2.812805 lr=0.058652 Epoch[106] Batch [0099]/[3760] Speed: 117.436286 samples/sec accuracy=38.046875 loss=2.789465 lr=0.058639 Epoch[106] Batch [0149]/[3760] Speed: 117.070357 samples/sec accuracy=37.906250 loss=2.806560 lr=0.058627 Epoch[106] Batch [0199]/[3760] Speed: 116.711858 samples/sec accuracy=37.585938 loss=2.822886 lr=0.058614 Epoch[106] Batch [0249]/[3760] Speed: 117.672387 samples/sec accuracy=37.643750 loss=2.829785 lr=0.058601 Epoch[106] Batch [0299]/[3760] Speed: 116.238638 samples/sec accuracy=37.619792 loss=2.824904 lr=0.058589 Epoch[106] Batch [0349]/[3760] Speed: 117.862281 samples/sec accuracy=37.526786 loss=2.829265 lr=0.058576 Epoch[106] Batch [0399]/[3760] Speed: 117.072062 samples/sec accuracy=37.390625 loss=2.831960 lr=0.058563 Epoch[106] Batch [0449]/[3760] Speed: 118.223472 samples/sec accuracy=37.305556 loss=2.836323 lr=0.058550 Epoch[106] Batch [0499]/[3760] Speed: 116.891965 samples/sec accuracy=37.287500 loss=2.833881 lr=0.058538 Epoch[106] Batch [0549]/[3760] Speed: 116.874344 samples/sec accuracy=37.315341 loss=2.830352 lr=0.058525 Epoch[106] Batch [0599]/[3760] Speed: 117.725028 samples/sec accuracy=37.312500 loss=2.830367 lr=0.058512 Epoch[106] Batch [0649]/[3760] Speed: 115.463806 samples/sec accuracy=37.223558 loss=2.829664 lr=0.058500 Epoch[106] Batch [0699]/[3760] Speed: 117.501369 samples/sec accuracy=37.185268 loss=2.834736 lr=0.058487 Epoch[106] Batch [0749]/[3760] Speed: 117.424115 samples/sec accuracy=37.137500 loss=2.835786 lr=0.058474 Epoch[106] Batch [0799]/[3760] Speed: 116.976860 samples/sec accuracy=37.173828 loss=2.831352 lr=0.058461 Epoch[106] Batch [0849]/[3760] Speed: 116.993623 samples/sec accuracy=37.097426 loss=2.835740 lr=0.058449 Epoch[106] Batch [0899]/[3760] Speed: 117.047656 samples/sec accuracy=37.107639 loss=2.832657 lr=0.058436 Epoch[106] Batch [0949]/[3760] Speed: 117.288510 samples/sec accuracy=37.059211 loss=2.834742 lr=0.058423 Epoch[106] Batch [0999]/[3760] Speed: 117.399974 samples/sec accuracy=37.017187 loss=2.834995 lr=0.058411 Epoch[106] Batch [1049]/[3760] Speed: 116.923460 samples/sec accuracy=36.989583 loss=2.834435 lr=0.058398 Epoch[106] Batch [1099]/[3760] Speed: 117.470728 samples/sec accuracy=36.970170 loss=2.834151 lr=0.058385 Epoch[106] Batch [1149]/[3760] Speed: 117.651413 samples/sec accuracy=36.953804 loss=2.833258 lr=0.058372 Epoch[106] Batch [1199]/[3760] Speed: 116.931738 samples/sec accuracy=36.964844 loss=2.833010 lr=0.058360 Epoch[106] Batch [1249]/[3760] Speed: 118.058223 samples/sec accuracy=36.978750 loss=2.833314 lr=0.058347 Epoch[106] Batch [1299]/[3760] Speed: 117.033338 samples/sec accuracy=36.963942 loss=2.834454 lr=0.058334 Epoch[106] Batch [1349]/[3760] Speed: 117.315390 samples/sec accuracy=36.983796 loss=2.834530 lr=0.058322 Epoch[106] Batch [1399]/[3760] Speed: 117.688332 samples/sec accuracy=36.981027 loss=2.836099 lr=0.058309 Epoch[106] Batch [1449]/[3760] Speed: 117.176059 samples/sec accuracy=36.955819 loss=2.837358 lr=0.058296 Epoch[106] Batch [1499]/[3760] Speed: 116.982355 samples/sec accuracy=36.976042 loss=2.837828 lr=0.058283 Epoch[106] Batch [1549]/[3760] Speed: 117.765358 samples/sec accuracy=36.957661 loss=2.838973 lr=0.058271 Epoch[106] Batch [1599]/[3760] Speed: 116.137002 samples/sec accuracy=36.960938 loss=2.840157 lr=0.058258 Epoch[106] Batch [1649]/[3760] Speed: 117.850455 samples/sec accuracy=36.925189 loss=2.841675 lr=0.058245 Epoch[106] Batch [1699]/[3760] Speed: 118.022788 samples/sec accuracy=36.958640 loss=2.840586 lr=0.058233 Epoch[106] Batch [1749]/[3760] Speed: 117.660305 samples/sec accuracy=36.939286 loss=2.841113 lr=0.058220 Epoch[106] Batch [1799]/[3760] Speed: 117.635993 samples/sec accuracy=36.922743 loss=2.842650 lr=0.058207 Epoch[106] Batch [1849]/[3760] Speed: 117.690705 samples/sec accuracy=36.895270 loss=2.844904 lr=0.058194 Epoch[106] Batch [1899]/[3760] Speed: 118.521103 samples/sec accuracy=36.888980 loss=2.844933 lr=0.058182 Epoch[106] Batch [1949]/[3760] Speed: 117.085983 samples/sec accuracy=36.886218 loss=2.845964 lr=0.058169 Epoch[106] Batch [1999]/[3760] Speed: 117.252737 samples/sec accuracy=36.882812 loss=2.846519 lr=0.058156 Epoch[106] Batch [2049]/[3760] Speed: 117.594206 samples/sec accuracy=36.881860 loss=2.845973 lr=0.058143 Epoch[106] Batch [2099]/[3760] Speed: 117.801648 samples/sec accuracy=36.851935 loss=2.847593 lr=0.058131 Epoch[106] Batch [2149]/[3760] Speed: 117.433720 samples/sec accuracy=36.868459 loss=2.847744 lr=0.058118 Epoch[106] Batch [2199]/[3760] Speed: 117.880797 samples/sec accuracy=36.839489 loss=2.850053 lr=0.058105 Epoch[106] Batch [2249]/[3760] Speed: 117.388051 samples/sec accuracy=36.829861 loss=2.850831 lr=0.058093 Epoch[106] Batch [2299]/[3760] Speed: 117.205012 samples/sec accuracy=36.825408 loss=2.852310 lr=0.058080 Epoch[106] Batch [2349]/[3760] Speed: 117.321026 samples/sec accuracy=36.805851 loss=2.853552 lr=0.058067 Epoch[106] Batch [2399]/[3760] Speed: 117.188979 samples/sec accuracy=36.827474 loss=2.853758 lr=0.058054 Epoch[106] Batch [2449]/[3760] Speed: 117.765556 samples/sec accuracy=36.832270 loss=2.853999 lr=0.058042 Epoch[106] Batch [2499]/[3760] Speed: 118.020740 samples/sec accuracy=36.816875 loss=2.854046 lr=0.058029 Epoch[106] Batch [2549]/[3760] Speed: 116.391055 samples/sec accuracy=36.808824 loss=2.854877 lr=0.058016 Epoch[106] Batch [2599]/[3760] Speed: 117.136879 samples/sec accuracy=36.768630 loss=2.855882 lr=0.058003 Epoch[106] Batch [2649]/[3760] Speed: 116.952966 samples/sec accuracy=36.760024 loss=2.856227 lr=0.057991 Epoch[106] Batch [2699]/[3760] Speed: 117.707704 samples/sec accuracy=36.782407 loss=2.855464 lr=0.057978 Epoch[106] Batch [2749]/[3760] Speed: 117.086926 samples/sec accuracy=36.772727 loss=2.856497 lr=0.057965 Epoch[106] Batch [2799]/[3760] Speed: 117.632507 samples/sec accuracy=36.794643 loss=2.856112 lr=0.057953 Epoch[106] Batch [2849]/[3760] Speed: 117.247629 samples/sec accuracy=36.805921 loss=2.855875 lr=0.057940 Epoch[106] Batch [2899]/[3760] Speed: 117.361360 samples/sec accuracy=36.810345 loss=2.855037 lr=0.057927 Epoch[106] Batch [2949]/[3760] Speed: 118.309114 samples/sec accuracy=36.828390 loss=2.855306 lr=0.057914 Epoch[106] Batch [2999]/[3760] Speed: 117.335402 samples/sec accuracy=36.815625 loss=2.856271 lr=0.057902 Epoch[106] Batch [3049]/[3760] Speed: 117.679616 samples/sec accuracy=36.788422 loss=2.857371 lr=0.057889 Epoch[106] Batch [3099]/[3760] Speed: 117.542644 samples/sec accuracy=36.811996 loss=2.856444 lr=0.057876 Epoch[106] Batch [3149]/[3760] Speed: 117.102313 samples/sec accuracy=36.786706 loss=2.857286 lr=0.057863 Epoch[106] Batch [3199]/[3760] Speed: 116.765082 samples/sec accuracy=36.777832 loss=2.857253 lr=0.057851 Epoch[106] Batch [3249]/[3760] Speed: 117.661101 samples/sec accuracy=36.782692 loss=2.856879 lr=0.057838 Epoch[106] Batch [3299]/[3760] Speed: 117.675585 samples/sec accuracy=36.767992 loss=2.857896 lr=0.057825 Epoch[106] Batch [3349]/[3760] Speed: 117.192069 samples/sec accuracy=36.780317 loss=2.857660 lr=0.057812 Epoch[106] Batch [3399]/[3760] Speed: 117.230655 samples/sec accuracy=36.781710 loss=2.857726 lr=0.057800 Epoch[106] Batch [3449]/[3760] Speed: 117.780787 samples/sec accuracy=36.755435 loss=2.858798 lr=0.057787 Epoch[106] Batch [3499]/[3760] Speed: 115.887221 samples/sec accuracy=36.737500 loss=2.859681 lr=0.057774 Epoch[106] Batch [3549]/[3760] Speed: 117.698722 samples/sec accuracy=36.741197 loss=2.859746 lr=0.057762 Epoch[106] Batch [3599]/[3760] Speed: 117.489837 samples/sec accuracy=36.747396 loss=2.859855 lr=0.057749 Epoch[106] Batch [3649]/[3760] Speed: 117.815020 samples/sec accuracy=36.735873 loss=2.860468 lr=0.057736 Epoch[106] Batch [3699]/[3760] Speed: 117.816620 samples/sec accuracy=36.723395 loss=2.861391 lr=0.057723 Epoch[106] Batch [3749]/[3760] Speed: 120.361770 samples/sec accuracy=36.736667 loss=2.860929 lr=0.057711 Batch [0049]/[0303]: acc-top1=37.437500 acc-top5=63.656250 Batch [0099]/[0303]: acc-top1=36.312500 acc-top5=62.500000 Batch [0149]/[0303]: acc-top1=37.697917 acc-top5=63.635417 Batch [0199]/[0303]: acc-top1=40.187500 acc-top5=65.898438 Batch [0249]/[0303]: acc-top1=39.206250 acc-top5=65.893750 Batch [0299]/[0303]: acc-top1=38.796875 acc-top5=65.848958 [Epoch 106] training: accuracy=36.743268 loss=2.860648 [Epoch 106] speed: 116 samples/sec time cost: 2176.102053 [Epoch 106] validation: acc-top1=38.784035 acc-top5=65.877682 loss=2.871571 Epoch[107] Batch [0049]/[3759] Speed: 89.191900 samples/sec accuracy=37.062500 loss=2.814864 lr=0.057695 Epoch[107] Batch [0099]/[3759] Speed: 117.686476 samples/sec accuracy=37.609375 loss=2.815885 lr=0.057682 Epoch[107] Batch [0149]/[3759] Speed: 118.311084 samples/sec accuracy=37.656250 loss=2.812339 lr=0.057670 Epoch[107] Batch [0199]/[3759] Speed: 116.907393 samples/sec accuracy=37.476562 loss=2.818210 lr=0.057657 Epoch[107] Batch [0249]/[3759] Speed: 117.985901 samples/sec accuracy=37.437500 loss=2.829609 lr=0.057644 Epoch[107] Batch [0299]/[3759] Speed: 117.959124 samples/sec accuracy=37.536458 loss=2.816735 lr=0.057632 Epoch[107] Batch [0349]/[3759] Speed: 117.652617 samples/sec accuracy=37.508929 loss=2.819816 lr=0.057619 Epoch[107] Batch [0399]/[3759] Speed: 117.408035 samples/sec accuracy=37.328125 loss=2.822153 lr=0.057606 Epoch[107] Batch [0449]/[3759] Speed: 117.360953 samples/sec accuracy=37.305556 loss=2.817747 lr=0.057593 Epoch[107] Batch [0499]/[3759] Speed: 116.821359 samples/sec accuracy=37.262500 loss=2.821783 lr=0.057581 Epoch[107] Batch [0549]/[3759] Speed: 116.821127 samples/sec accuracy=37.150568 loss=2.828035 lr=0.057568 Epoch[107] Batch [0599]/[3759] Speed: 117.076855 samples/sec accuracy=37.122396 loss=2.827178 lr=0.057555 Epoch[107] Batch [0649]/[3759] Speed: 117.349068 samples/sec accuracy=37.038462 loss=2.835256 lr=0.057542 Epoch[107] Batch [0699]/[3759] Speed: 116.756279 samples/sec accuracy=37.216518 loss=2.827975 lr=0.057530 Epoch[107] Batch [0749]/[3759] Speed: 117.239945 samples/sec accuracy=37.175000 loss=2.828746 lr=0.057517 Epoch[107] Batch [0799]/[3759] Speed: 118.208886 samples/sec accuracy=37.150391 loss=2.830685 lr=0.057504 Epoch[107] Batch [0849]/[3759] Speed: 116.577312 samples/sec accuracy=37.240809 loss=2.829819 lr=0.057491 Epoch[107] Batch [0899]/[3759] Speed: 117.204708 samples/sec accuracy=37.256944 loss=2.832246 lr=0.057479 Epoch[107] Batch [0949]/[3759] Speed: 117.193473 samples/sec accuracy=37.296053 loss=2.828419 lr=0.057466 Epoch[107] Batch [0999]/[3759] Speed: 117.556897 samples/sec accuracy=37.284375 loss=2.828789 lr=0.057453 Epoch[107] Batch [1049]/[3759] Speed: 117.871186 samples/sec accuracy=37.296131 loss=2.827483 lr=0.057440 Epoch[107] Batch [1099]/[3759] Speed: 116.966586 samples/sec accuracy=37.210227 loss=2.830635 lr=0.057428 Epoch[107] Batch [1149]/[3759] Speed: 117.608931 samples/sec accuracy=37.203804 loss=2.830444 lr=0.057415 Epoch[107] Batch [1199]/[3759] Speed: 118.193136 samples/sec accuracy=37.253906 loss=2.829825 lr=0.057402 Epoch[107] Batch [1249]/[3759] Speed: 117.248725 samples/sec accuracy=37.225000 loss=2.829685 lr=0.057389 Epoch[107] Batch [1299]/[3759] Speed: 117.594592 samples/sec accuracy=37.207933 loss=2.830937 lr=0.057376 Epoch[107] Batch [1349]/[3759] Speed: 117.060926 samples/sec accuracy=37.228009 loss=2.831307 lr=0.057364 Epoch[107] Batch [1399]/[3759] Speed: 116.889243 samples/sec accuracy=37.208705 loss=2.832666 lr=0.057351 Epoch[107] Batch [1449]/[3759] Speed: 117.681319 samples/sec accuracy=37.201509 loss=2.833799 lr=0.057338 Epoch[107] Batch [1499]/[3759] Speed: 117.929764 samples/sec accuracy=37.222917 loss=2.834240 lr=0.057325 Epoch[107] Batch [1549]/[3759] Speed: 117.906486 samples/sec accuracy=37.190524 loss=2.836528 lr=0.057313 Epoch[107] Batch [1599]/[3759] Speed: 118.035656 samples/sec accuracy=37.207031 loss=2.836676 lr=0.057300 Epoch[107] Batch [1649]/[3759] Speed: 116.035812 samples/sec accuracy=37.196023 loss=2.836824 lr=0.057287 Epoch[107] Batch [1699]/[3759] Speed: 117.501816 samples/sec accuracy=37.165441 loss=2.837777 lr=0.057274 Epoch[107] Batch [1749]/[3759] Speed: 117.789021 samples/sec accuracy=37.178571 loss=2.837026 lr=0.057262 Epoch[107] Batch [1799]/[3759] Speed: 117.704023 samples/sec accuracy=37.151042 loss=2.837728 lr=0.057249 Epoch[107] Batch [1849]/[3759] Speed: 117.536280 samples/sec accuracy=37.168919 loss=2.837979 lr=0.057236 Epoch[107] Batch [1899]/[3759] Speed: 116.576258 samples/sec accuracy=37.152138 loss=2.839481 lr=0.057223 Epoch[107] Batch [1949]/[3759] Speed: 117.592971 samples/sec accuracy=37.175481 loss=2.838557 lr=0.057211 Epoch[107] Batch [1999]/[3759] Speed: 116.929374 samples/sec accuracy=37.191406 loss=2.838534 lr=0.057198 Epoch[107] Batch [2049]/[3759] Speed: 117.954534 samples/sec accuracy=37.217226 loss=2.837665 lr=0.057185 Epoch[107] Batch [2099]/[3759] Speed: 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loss=2.838739 lr=0.057057 Epoch[107] Batch [2599]/[3759] Speed: 117.945088 samples/sec accuracy=37.178486 loss=2.839956 lr=0.057045 Epoch[107] Batch [2649]/[3759] Speed: 117.288941 samples/sec accuracy=37.142099 loss=2.841201 lr=0.057032 Epoch[107] Batch [2699]/[3759] Speed: 117.428476 samples/sec accuracy=37.157986 loss=2.841532 lr=0.057019 Epoch[107] Batch [2749]/[3759] Speed: 118.111770 samples/sec accuracy=37.154545 loss=2.841527 lr=0.057006 Epoch[107] Batch [2799]/[3759] Speed: 117.556533 samples/sec accuracy=37.148438 loss=2.841784 lr=0.056994 Epoch[107] Batch [2849]/[3759] Speed: 117.660260 samples/sec accuracy=37.142544 loss=2.842615 lr=0.056981 Epoch[107] Batch [2899]/[3759] Speed: 117.504448 samples/sec accuracy=37.160560 loss=2.841528 lr=0.056968 Epoch[107] Batch [2949]/[3759] Speed: 117.474254 samples/sec accuracy=37.146186 loss=2.842411 lr=0.056955 Epoch[107] Batch [2999]/[3759] Speed: 117.935550 samples/sec accuracy=37.152604 loss=2.841315 lr=0.056942 Epoch[107] Batch 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accuracy=37.162500 loss=2.843533 lr=0.056815 Epoch[107] Batch [3549]/[3759] Speed: 116.811959 samples/sec accuracy=37.144806 loss=2.844336 lr=0.056802 Epoch[107] Batch [3599]/[3759] Speed: 116.466894 samples/sec accuracy=37.154948 loss=2.843853 lr=0.056789 Epoch[107] Batch [3649]/[3759] Speed: 117.865262 samples/sec accuracy=37.160531 loss=2.843963 lr=0.056776 Epoch[107] Batch [3699]/[3759] Speed: 116.736430 samples/sec accuracy=37.135980 loss=2.845033 lr=0.056764 Epoch[107] Batch [3749]/[3759] Speed: 120.872926 samples/sec accuracy=37.123750 loss=2.845376 lr=0.056751 Batch [0049]/[0303]: acc-top1=37.500000 acc-top5=63.625000 Batch [0099]/[0303]: acc-top1=34.812500 acc-top5=62.125000 Batch [0149]/[0303]: acc-top1=36.447917 acc-top5=62.906250 Batch [0199]/[0303]: acc-top1=39.070312 acc-top5=64.757812 Batch [0249]/[0303]: acc-top1=38.325000 acc-top5=64.293750 Batch [0299]/[0303]: acc-top1=37.520833 acc-top5=63.984375 [Epoch 107] training: accuracy=37.123819 loss=2.845295 [Epoch 107] speed: 116 samples/sec time cost: 2173.935966 [Epoch 107] validation: acc-top1=37.474216 acc-top5=63.943894 loss=2.899394 Epoch[108] Batch [0049]/[3760] Speed: 87.519994 samples/sec accuracy=37.625000 loss=2.826199 lr=0.056736 Epoch[108] Batch [0099]/[3760] Speed: 117.294110 samples/sec accuracy=36.781250 loss=2.852336 lr=0.056723 Epoch[108] Batch [0149]/[3760] Speed: 117.077430 samples/sec accuracy=37.156250 loss=2.821664 lr=0.056710 Epoch[108] Batch [0199]/[3760] Speed: 117.176023 samples/sec accuracy=36.898438 loss=2.835120 lr=0.056697 Epoch[108] Batch [0249]/[3760] Speed: 117.575175 samples/sec accuracy=36.881250 loss=2.840004 lr=0.056685 Epoch[108] Batch [0299]/[3760] Speed: 117.366238 samples/sec accuracy=37.125000 loss=2.831847 lr=0.056672 Epoch[108] Batch [0349]/[3760] Speed: 117.686969 samples/sec accuracy=37.236607 loss=2.831635 lr=0.056659 Epoch[108] Batch [0399]/[3760] Speed: 117.836255 samples/sec accuracy=37.324219 loss=2.829395 lr=0.056646 Epoch[108] Batch [0449]/[3760] 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accuracy=37.142361 loss=2.836608 lr=0.056518 Epoch[108] Batch [0949]/[3760] Speed: 117.131894 samples/sec accuracy=37.126645 loss=2.836606 lr=0.056506 Epoch[108] Batch [0999]/[3760] Speed: 117.355543 samples/sec accuracy=37.184375 loss=2.835399 lr=0.056493 Epoch[108] Batch [1049]/[3760] Speed: 117.393051 samples/sec accuracy=37.162202 loss=2.834860 lr=0.056480 Epoch[108] Batch [1099]/[3760] Speed: 117.446123 samples/sec accuracy=37.129261 loss=2.835466 lr=0.056467 Epoch[108] Batch [1149]/[3760] Speed: 118.346749 samples/sec accuracy=37.105978 loss=2.835016 lr=0.056455 Epoch[108] Batch [1199]/[3760] Speed: 117.356013 samples/sec accuracy=37.049479 loss=2.838819 lr=0.056442 Epoch[108] Batch [1249]/[3760] Speed: 117.568898 samples/sec accuracy=37.047500 loss=2.836977 lr=0.056429 Epoch[108] Batch [1299]/[3760] Speed: 117.877280 samples/sec accuracy=37.042067 loss=2.837822 lr=0.056416 Epoch[108] Batch [1349]/[3760] Speed: 117.730200 samples/sec accuracy=37.032407 loss=2.838030 lr=0.056403 Epoch[108] Batch [1399]/[3760] Speed: 116.946541 samples/sec accuracy=37.069196 loss=2.838098 lr=0.056391 Epoch[108] Batch [1449]/[3760] Speed: 117.699929 samples/sec accuracy=37.100216 loss=2.837482 lr=0.056378 Epoch[108] Batch [1499]/[3760] Speed: 117.168260 samples/sec accuracy=37.085417 loss=2.838715 lr=0.056365 Epoch[108] Batch [1549]/[3760] Speed: 117.397264 samples/sec accuracy=37.120968 loss=2.836833 lr=0.056352 Epoch[108] Batch [1599]/[3760] Speed: 117.237993 samples/sec accuracy=37.119141 loss=2.836765 lr=0.056339 Epoch[108] Batch [1649]/[3760] Speed: 117.353852 samples/sec accuracy=37.098485 loss=2.836936 lr=0.056327 Epoch[108] Batch [1699]/[3760] Speed: 117.405124 samples/sec accuracy=37.096507 loss=2.837147 lr=0.056314 Epoch[108] Batch [1749]/[3760] Speed: 116.171577 samples/sec accuracy=37.087500 loss=2.837580 lr=0.056301 Epoch[108] Batch [1799]/[3760] Speed: 117.324177 samples/sec accuracy=37.041667 loss=2.838669 lr=0.056288 Epoch[108] Batch [1849]/[3760] Speed: 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loss=2.834595 lr=0.056160 Epoch[108] Batch [2349]/[3760] Speed: 116.962975 samples/sec accuracy=37.226064 loss=2.834302 lr=0.056147 Epoch[108] Batch [2399]/[3760] Speed: 118.059671 samples/sec accuracy=37.249349 loss=2.833313 lr=0.056135 Epoch[108] Batch [2449]/[3760] Speed: 117.447690 samples/sec accuracy=37.245536 loss=2.833571 lr=0.056122 Epoch[108] Batch [2499]/[3760] Speed: 117.826962 samples/sec accuracy=37.238125 loss=2.833671 lr=0.056109 Epoch[108] Batch [2549]/[3760] Speed: 117.859667 samples/sec accuracy=37.227328 loss=2.833897 lr=0.056096 Epoch[108] Batch [2599]/[3760] Speed: 117.311842 samples/sec accuracy=37.206731 loss=2.834984 lr=0.056083 Epoch[108] Batch [2649]/[3760] Speed: 117.306798 samples/sec accuracy=37.213443 loss=2.834232 lr=0.056071 Epoch[108] Batch [2699]/[3760] Speed: 117.263167 samples/sec accuracy=37.215856 loss=2.834329 lr=0.056058 Epoch[108] Batch [2749]/[3760] Speed: 116.105566 samples/sec accuracy=37.218750 loss=2.834274 lr=0.056045 Epoch[108] Batch [2799]/[3760] Speed: 118.941715 samples/sec accuracy=37.186384 loss=2.836311 lr=0.056032 Epoch[108] Batch [2849]/[3760] Speed: 117.042011 samples/sec accuracy=37.191338 loss=2.837343 lr=0.056019 Epoch[108] Batch [2899]/[3760] Speed: 117.734984 samples/sec accuracy=37.197198 loss=2.837417 lr=0.056007 Epoch[108] Batch [2949]/[3760] Speed: 117.895273 samples/sec accuracy=37.217161 loss=2.836791 lr=0.055994 Epoch[108] Batch [2999]/[3760] Speed: 116.937269 samples/sec accuracy=37.240625 loss=2.836925 lr=0.055981 Epoch[108] Batch [3049]/[3760] Speed: 117.718538 samples/sec accuracy=37.215676 loss=2.837335 lr=0.055968 Epoch[108] Batch [3099]/[3760] Speed: 117.231662 samples/sec accuracy=37.251008 loss=2.837105 lr=0.055955 Epoch[108] Batch [3149]/[3760] Speed: 116.496208 samples/sec accuracy=37.232639 loss=2.837473 lr=0.055943 Epoch[108] Batch [3199]/[3760] Speed: 117.235241 samples/sec accuracy=37.208496 loss=2.837861 lr=0.055930 Epoch[108] Batch [3249]/[3760] Speed: 117.136647 samples/sec accuracy=37.201923 loss=2.838002 lr=0.055917 Epoch[108] Batch [3299]/[3760] Speed: 117.622809 samples/sec accuracy=37.212595 loss=2.837615 lr=0.055904 Epoch[108] Batch [3349]/[3760] Speed: 117.524313 samples/sec accuracy=37.213619 loss=2.836943 lr=0.055891 Epoch[108] Batch [3399]/[3760] Speed: 117.859058 samples/sec accuracy=37.232537 loss=2.836795 lr=0.055879 Epoch[108] Batch [3449]/[3760] Speed: 116.752144 samples/sec accuracy=37.246377 loss=2.835843 lr=0.055866 Epoch[108] Batch [3499]/[3760] Speed: 117.635244 samples/sec accuracy=37.241964 loss=2.835901 lr=0.055853 Epoch[108] Batch [3549]/[3760] Speed: 117.487292 samples/sec accuracy=37.237676 loss=2.836216 lr=0.055840 Epoch[108] Batch [3599]/[3760] Speed: 117.420313 samples/sec accuracy=37.228299 loss=2.836578 lr=0.055827 Epoch[108] Batch [3649]/[3760] Speed: 117.434999 samples/sec accuracy=37.203767 loss=2.837384 lr=0.055815 Epoch[108] Batch [3699]/[3760] Speed: 115.290973 samples/sec accuracy=37.219595 loss=2.837157 lr=0.055802 Epoch[108] Batch [3749]/[3760] Speed: 120.477390 samples/sec accuracy=37.233333 loss=2.836998 lr=0.055789 Batch [0049]/[0303]: acc-top1=36.968750 acc-top5=63.562500 Batch [0099]/[0303]: acc-top1=34.781250 acc-top5=60.765625 Batch [0149]/[0303]: acc-top1=37.177083 acc-top5=62.895833 Batch [0199]/[0303]: acc-top1=39.289062 acc-top5=64.796875 Batch [0249]/[0303]: acc-top1=38.837500 acc-top5=64.787500 Batch [0299]/[0303]: acc-top1=38.406250 acc-top5=65.088542 [Epoch 108] training: accuracy=37.226147 loss=2.837284 [Epoch 108] speed: 116 samples/sec time cost: 2176.864247 [Epoch 108] validation: acc-top1=38.330239 acc-top5=65.068069 loss=2.861498 Epoch[109] Batch [0049]/[3760] Speed: 87.393201 samples/sec accuracy=37.406250 loss=2.769663 lr=0.055774 Epoch[109] Batch [0099]/[3760] Speed: 117.735763 samples/sec accuracy=37.640625 loss=2.796550 lr=0.055761 Epoch[109] Batch [0149]/[3760] Speed: 117.862899 samples/sec accuracy=37.802083 loss=2.804738 lr=0.055748 Epoch[109] Batch [0199]/[3760] 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accuracy=37.579327 loss=2.813931 lr=0.055620 Epoch[109] Batch [0699]/[3760] Speed: 118.101611 samples/sec accuracy=37.638393 loss=2.809570 lr=0.055607 Epoch[109] Batch [0749]/[3760] Speed: 117.608151 samples/sec accuracy=37.693750 loss=2.808175 lr=0.055594 Epoch[109] Batch [0799]/[3760] Speed: 117.812160 samples/sec accuracy=37.703125 loss=2.808820 lr=0.055581 Epoch[109] Batch [0849]/[3760] Speed: 117.138777 samples/sec accuracy=37.757353 loss=2.807808 lr=0.055568 Epoch[109] Batch [0899]/[3760] Speed: 117.077947 samples/sec accuracy=37.755208 loss=2.805469 lr=0.055556 Epoch[109] Batch [0949]/[3760] Speed: 116.038959 samples/sec accuracy=37.722039 loss=2.807646 lr=0.055543 Epoch[109] Batch [0999]/[3760] Speed: 118.087145 samples/sec accuracy=37.709375 loss=2.809289 lr=0.055530 Epoch[109] Batch [1049]/[3760] Speed: 117.991668 samples/sec accuracy=37.697917 loss=2.812324 lr=0.055517 Epoch[109] Batch [1099]/[3760] Speed: 117.125229 samples/sec accuracy=37.772727 loss=2.810052 lr=0.055504 Epoch[109] Batch [1149]/[3760] Speed: 117.625230 samples/sec accuracy=37.793478 loss=2.809821 lr=0.055492 Epoch[109] Batch [1199]/[3760] Speed: 117.193659 samples/sec accuracy=37.747396 loss=2.811492 lr=0.055479 Epoch[109] Batch [1249]/[3760] Speed: 117.474263 samples/sec accuracy=37.777500 loss=2.811303 lr=0.055466 Epoch[109] Batch [1299]/[3760] Speed: 116.924904 samples/sec accuracy=37.786058 loss=2.811394 lr=0.055453 Epoch[109] Batch [1349]/[3760] Speed: 117.434751 samples/sec accuracy=37.844907 loss=2.808701 lr=0.055440 Epoch[109] Batch [1399]/[3760] Speed: 117.713838 samples/sec accuracy=37.805804 loss=2.810182 lr=0.055427 Epoch[109] Batch [1449]/[3760] Speed: 116.842740 samples/sec accuracy=37.814655 loss=2.810523 lr=0.055415 Epoch[109] Batch [1499]/[3760] Speed: 116.974452 samples/sec accuracy=37.793750 loss=2.812542 lr=0.055402 Epoch[109] Batch [1549]/[3760] Speed: 117.372306 samples/sec accuracy=37.811492 loss=2.811093 lr=0.055389 Epoch[109] Batch [1599]/[3760] Speed: 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Epoch[109] Batch [3499]/[3760] Speed: 118.273971 samples/sec accuracy=37.597321 loss=2.820619 lr=0.054889 Epoch[109] Batch [3549]/[3760] Speed: 117.216049 samples/sec accuracy=37.597271 loss=2.820854 lr=0.054876 Epoch[109] Batch [3599]/[3760] Speed: 117.617097 samples/sec accuracy=37.579861 loss=2.821794 lr=0.054863 Epoch[109] Batch [3649]/[3760] Speed: 117.318368 samples/sec accuracy=37.577055 loss=2.822064 lr=0.054850 Epoch[109] Batch [3699]/[3760] Speed: 117.734550 samples/sec accuracy=37.560389 loss=2.823505 lr=0.054837 Epoch[109] Batch [3749]/[3760] Speed: 120.361567 samples/sec accuracy=37.547917 loss=2.823556 lr=0.054825 Batch [0049]/[0303]: acc-top1=38.750000 acc-top5=63.906250 Batch [0099]/[0303]: acc-top1=35.500000 acc-top5=62.500000 Batch [0149]/[0303]: acc-top1=37.916667 acc-top5=64.052083 Batch [0199]/[0303]: acc-top1=40.328125 acc-top5=65.750000 Batch [0249]/[0303]: acc-top1=39.575000 acc-top5=65.275000 Batch [0299]/[0303]: acc-top1=38.859375 acc-top5=65.119792 [Epoch 109] training: accuracy=37.545711 loss=2.823786 [Epoch 109] speed: 116 samples/sec time cost: 2176.731307 [Epoch 109] validation: acc-top1=38.825289 acc-top5=65.114480 loss=2.872728 Epoch[110] Batch [0049]/[3759] Speed: 88.269063 samples/sec accuracy=38.562500 loss=2.751133 lr=0.054809 Epoch[110] Batch [0099]/[3759] Speed: 116.706938 samples/sec accuracy=37.812500 loss=2.784503 lr=0.054796 Epoch[110] Batch [0149]/[3759] Speed: 117.375662 samples/sec accuracy=37.989583 loss=2.769841 lr=0.054783 Epoch[110] Batch [0199]/[3759] Speed: 117.589655 samples/sec accuracy=38.101562 loss=2.763290 lr=0.054771 Epoch[110] Batch [0249]/[3759] Speed: 117.213717 samples/sec accuracy=38.075000 loss=2.767199 lr=0.054758 Epoch[110] Batch [0299]/[3759] Speed: 118.128758 samples/sec accuracy=37.968750 loss=2.775741 lr=0.054745 Epoch[110] Batch [0349]/[3759] Speed: 117.560303 samples/sec accuracy=38.174107 loss=2.772960 lr=0.054732 Epoch[110] Batch [0399]/[3759] Speed: 118.494850 samples/sec accuracy=38.140625 loss=2.776229 lr=0.054719 Epoch[110] Batch [0449]/[3759] Speed: 117.272118 samples/sec accuracy=38.059028 loss=2.784365 lr=0.054706 Epoch[110] Batch [0499]/[3759] Speed: 117.484923 samples/sec accuracy=38.146875 loss=2.784676 lr=0.054694 Epoch[110] Batch [0549]/[3759] Speed: 117.728266 samples/sec accuracy=38.161932 loss=2.788678 lr=0.054681 Epoch[110] Batch [0599]/[3759] Speed: 118.072342 samples/sec accuracy=38.072917 loss=2.792895 lr=0.054668 Epoch[110] Batch [0649]/[3759] Speed: 117.361407 samples/sec accuracy=38.057692 loss=2.794749 lr=0.054655 Epoch[110] Batch [0699]/[3759] Speed: 117.092702 samples/sec accuracy=38.071429 loss=2.795078 lr=0.054642 Epoch[110] Batch [0749]/[3759] Speed: 117.472909 samples/sec accuracy=38.116667 loss=2.792408 lr=0.054629 Epoch[110] Batch [0799]/[3759] Speed: 118.226096 samples/sec accuracy=38.140625 loss=2.788943 lr=0.054617 Epoch[110] Batch [0849]/[3759] Speed: 117.317029 samples/sec accuracy=38.071691 loss=2.790760 lr=0.054604 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loss=2.804225 lr=0.054360 Epoch[110] Batch [1849]/[3759] Speed: 117.169364 samples/sec accuracy=37.822635 loss=2.805349 lr=0.054347 Epoch[110] Batch [1899]/[3759] Speed: 117.241843 samples/sec accuracy=37.828947 loss=2.805301 lr=0.054334 Epoch[110] Batch [1949]/[3759] Speed: 118.072294 samples/sec accuracy=37.823718 loss=2.805673 lr=0.054321 Epoch[110] Batch [1999]/[3759] Speed: 116.755352 samples/sec accuracy=37.818750 loss=2.805184 lr=0.054308 Epoch[110] Batch [2049]/[3759] Speed: 115.964660 samples/sec accuracy=37.827744 loss=2.805346 lr=0.054295 Epoch[110] Batch [2099]/[3759] Speed: 117.322501 samples/sec accuracy=37.831101 loss=2.805750 lr=0.054282 Epoch[110] Batch [2149]/[3759] Speed: 117.724500 samples/sec accuracy=37.793605 loss=2.806782 lr=0.054270 Epoch[110] Batch [2199]/[3759] Speed: 117.138461 samples/sec accuracy=37.751420 loss=2.808376 lr=0.054257 Epoch[110] Batch [2249]/[3759] Speed: 116.802153 samples/sec accuracy=37.713194 loss=2.810161 lr=0.054244 Epoch[110] Batch 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accuracy=37.759091 loss=2.809496 lr=0.054115 Epoch[110] Batch [2799]/[3759] Speed: 116.909803 samples/sec accuracy=37.751674 loss=2.810307 lr=0.054103 Epoch[110] Batch [2849]/[3759] Speed: 116.898994 samples/sec accuracy=37.756579 loss=2.810068 lr=0.054090 Epoch[110] Batch [2899]/[3759] Speed: 117.296500 samples/sec accuracy=37.744612 loss=2.810369 lr=0.054077 Epoch[110] Batch [2949]/[3759] Speed: 116.917151 samples/sec accuracy=37.753178 loss=2.809296 lr=0.054064 Epoch[110] Batch [2999]/[3759] Speed: 117.830144 samples/sec accuracy=37.764063 loss=2.809711 lr=0.054051 Epoch[110] Batch [3049]/[3759] Speed: 116.143620 samples/sec accuracy=37.758709 loss=2.809602 lr=0.054038 Epoch[110] Batch [3099]/[3759] Speed: 117.413200 samples/sec accuracy=37.731351 loss=2.809957 lr=0.054025 Epoch[110] Batch [3149]/[3759] Speed: 116.952977 samples/sec accuracy=37.717262 loss=2.810833 lr=0.054013 Epoch[110] Batch [3199]/[3759] Speed: 117.753616 samples/sec accuracy=37.703125 loss=2.811960 lr=0.054000 Epoch[110] Batch [3249]/[3759] Speed: 117.199922 samples/sec accuracy=37.696635 loss=2.812052 lr=0.053987 Epoch[110] Batch [3299]/[3759] Speed: 117.268715 samples/sec accuracy=37.700758 loss=2.812910 lr=0.053974 Epoch[110] Batch [3349]/[3759] Speed: 116.753091 samples/sec accuracy=37.681437 loss=2.813383 lr=0.053961 Epoch[110] Batch [3399]/[3759] Speed: 117.838215 samples/sec accuracy=37.647059 loss=2.814979 lr=0.053948 Epoch[110] Batch [3449]/[3759] Speed: 117.673592 samples/sec accuracy=37.660326 loss=2.814795 lr=0.053935 Epoch[110] Batch [3499]/[3759] Speed: 118.292681 samples/sec accuracy=37.677232 loss=2.813976 lr=0.053923 Epoch[110] Batch [3549]/[3759] Speed: 117.556090 samples/sec accuracy=37.665493 loss=2.813819 lr=0.053910 Epoch[110] Batch [3599]/[3759] Speed: 117.824209 samples/sec accuracy=37.649306 loss=2.814319 lr=0.053897 Epoch[110] Batch [3649]/[3759] Speed: 117.376713 samples/sec accuracy=37.654538 loss=2.814091 lr=0.053884 Epoch[110] Batch [3699]/[3759] Speed: 117.312564 samples/sec accuracy=37.652872 loss=2.813982 lr=0.053871 Epoch[110] Batch [3749]/[3759] Speed: 121.562226 samples/sec accuracy=37.657083 loss=2.813497 lr=0.053858 Batch [0049]/[0303]: acc-top1=38.812500 acc-top5=64.656250 Batch [0099]/[0303]: acc-top1=34.937500 acc-top5=60.546875 Batch [0149]/[0303]: acc-top1=36.156250 acc-top5=62.177083 Batch [0199]/[0303]: acc-top1=38.585938 acc-top5=64.289062 Batch [0249]/[0303]: acc-top1=37.856250 acc-top5=64.212500 Batch [0299]/[0303]: acc-top1=37.369792 acc-top5=64.130208 [Epoch 110] training: accuracy=37.655045 loss=2.813830 [Epoch 110] speed: 116 samples/sec time cost: 2175.239270 [Epoch 110] validation: acc-top1=37.422649 acc-top5=64.129538 loss=2.956629 Epoch[111] Batch [0049]/[3760] Speed: 86.601266 samples/sec accuracy=37.156250 loss=2.814685 lr=0.053843 Epoch[111] Batch [0099]/[3760] Speed: 117.317091 samples/sec accuracy=38.109375 loss=2.781367 lr=0.053830 Epoch[111] Batch [0149]/[3760] Speed: 116.930237 samples/sec accuracy=37.895833 loss=2.778390 lr=0.053817 Epoch[111] Batch [0199]/[3760] Speed: 116.705945 samples/sec accuracy=37.921875 loss=2.773994 lr=0.053805 Epoch[111] Batch [0249]/[3760] Speed: 116.975800 samples/sec accuracy=37.950000 loss=2.769859 lr=0.053792 Epoch[111] Batch [0299]/[3760] Speed: 117.114509 samples/sec accuracy=37.947917 loss=2.771475 lr=0.053779 Epoch[111] Batch [0349]/[3760] Speed: 117.403399 samples/sec accuracy=38.040179 loss=2.774190 lr=0.053766 Epoch[111] Batch [0399]/[3760] Speed: 117.384131 samples/sec accuracy=38.144531 loss=2.769456 lr=0.053753 Epoch[111] Batch [0449]/[3760] Speed: 117.574797 samples/sec accuracy=38.128472 loss=2.772766 lr=0.053740 Epoch[111] Batch [0499]/[3760] Speed: 116.995358 samples/sec accuracy=38.118750 loss=2.771805 lr=0.053727 Epoch[111] Batch [0549]/[3760] Speed: 117.559007 samples/sec accuracy=38.167614 loss=2.775737 lr=0.053715 Epoch[111] Batch [0599]/[3760] Speed: 116.627750 samples/sec accuracy=38.208333 loss=2.777306 lr=0.053702 Epoch[111] Batch [0649]/[3760] Speed: 116.927502 samples/sec accuracy=38.105769 loss=2.778976 lr=0.053689 Epoch[111] Batch [0699]/[3760] Speed: 117.847822 samples/sec accuracy=38.006696 loss=2.782749 lr=0.053676 Epoch[111] Batch [0749]/[3760] Speed: 116.963406 samples/sec accuracy=37.885417 loss=2.791382 lr=0.053663 Epoch[111] Batch [0799]/[3760] Speed: 116.741073 samples/sec accuracy=37.896484 loss=2.792766 lr=0.053650 Epoch[111] Batch [0849]/[3760] Speed: 116.153476 samples/sec accuracy=37.908088 loss=2.794868 lr=0.053637 Epoch[111] Batch [0899]/[3760] Speed: 117.541823 samples/sec accuracy=37.954861 loss=2.794936 lr=0.053624 Epoch[111] Batch [0949]/[3760] Speed: 117.053824 samples/sec accuracy=38.023026 loss=2.793573 lr=0.053612 Epoch[111] Batch [0999]/[3760] Speed: 116.920301 samples/sec accuracy=38.057812 loss=2.793061 lr=0.053599 Epoch[111] Batch [1049]/[3760] Speed: 117.051629 samples/sec accuracy=38.047619 loss=2.794445 lr=0.053586 Epoch[111] Batch [1099]/[3760] Speed: 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accuracy=37.746250 loss=2.805688 lr=0.053213 Epoch[111] Batch [2549]/[3760] Speed: 117.469021 samples/sec accuracy=37.738971 loss=2.805988 lr=0.053200 Epoch[111] Batch [2599]/[3760] Speed: 117.349273 samples/sec accuracy=37.767428 loss=2.805968 lr=0.053187 Epoch[111] Batch [2649]/[3760] Speed: 117.260279 samples/sec accuracy=37.764151 loss=2.806065 lr=0.053174 Epoch[111] Batch [2699]/[3760] Speed: 117.612452 samples/sec accuracy=37.784722 loss=2.805873 lr=0.053161 Epoch[111] Batch [2749]/[3760] Speed: 117.280891 samples/sec accuracy=37.762500 loss=2.807340 lr=0.053148 Epoch[111] Batch [2799]/[3760] Speed: 116.814326 samples/sec accuracy=37.795201 loss=2.806657 lr=0.053135 Epoch[111] Batch [2849]/[3760] Speed: 116.863324 samples/sec accuracy=37.768092 loss=2.807148 lr=0.053123 Epoch[111] Batch [2899]/[3760] Speed: 116.904753 samples/sec accuracy=37.745690 loss=2.807698 lr=0.053110 Epoch[111] Batch [2949]/[3760] Speed: 117.280945 samples/sec accuracy=37.728284 loss=2.807886 lr=0.053097 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Batch [0299]/[0303]: acc-top1=39.796875 acc-top5=65.838542 [Epoch 111] training: accuracy=37.754322 loss=2.807133 [Epoch 111] speed: 116 samples/sec time cost: 2180.796614 [Epoch 111] validation: acc-top1=39.887583 acc-top5=65.872525 loss=2.849196 Epoch[112] Batch [0049]/[3760] Speed: 86.197457 samples/sec accuracy=38.156250 loss=2.834509 lr=0.052875 Epoch[112] Batch [0099]/[3760] Speed: 117.721041 samples/sec accuracy=38.218750 loss=2.817075 lr=0.052863 Epoch[112] Batch [0149]/[3760] Speed: 116.867909 samples/sec accuracy=38.104167 loss=2.822328 lr=0.052850 Epoch[112] Batch [0199]/[3760] Speed: 117.454466 samples/sec accuracy=37.945312 loss=2.811680 lr=0.052837 Epoch[112] Batch [0249]/[3760] Speed: 117.204126 samples/sec accuracy=37.825000 loss=2.808287 lr=0.052824 Epoch[112] Batch [0299]/[3760] Speed: 117.638726 samples/sec accuracy=38.088542 loss=2.798748 lr=0.052811 Epoch[112] Batch [0349]/[3760] Speed: 117.475834 samples/sec accuracy=38.071429 loss=2.798867 lr=0.052798 Epoch[112] 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lr=0.052553 Epoch[112] Batch [1349]/[3760] Speed: 117.657199 samples/sec accuracy=37.943287 loss=2.799321 lr=0.052541 Epoch[112] Batch [1399]/[3760] Speed: 116.705942 samples/sec accuracy=37.907366 loss=2.799066 lr=0.052528 Epoch[112] Batch [1449]/[3760] Speed: 117.876817 samples/sec accuracy=37.898707 loss=2.799655 lr=0.052515 Epoch[112] Batch [1499]/[3760] Speed: 117.259439 samples/sec accuracy=37.913542 loss=2.798437 lr=0.052502 Epoch[112] Batch [1549]/[3760] Speed: 117.362296 samples/sec accuracy=37.881048 loss=2.799890 lr=0.052489 Epoch[112] Batch [1599]/[3760] Speed: 117.527948 samples/sec accuracy=37.921875 loss=2.798887 lr=0.052476 Epoch[112] Batch [1649]/[3760] Speed: 117.258683 samples/sec accuracy=37.979167 loss=2.795804 lr=0.052463 Epoch[112] Batch [1699]/[3760] Speed: 117.932167 samples/sec accuracy=37.972426 loss=2.796972 lr=0.052450 Epoch[112] Batch [1749]/[3760] Speed: 117.736328 samples/sec accuracy=37.969643 loss=2.797203 lr=0.052438 Epoch[112] Batch [1799]/[3760] 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accuracy=37.993056 loss=2.797378 lr=0.052309 Epoch[112] Batch [2299]/[3760] Speed: 116.599428 samples/sec accuracy=37.999321 loss=2.796858 lr=0.052296 Epoch[112] Batch [2349]/[3760] Speed: 117.892377 samples/sec accuracy=37.993351 loss=2.797358 lr=0.052283 Epoch[112] Batch [2399]/[3760] Speed: 115.907883 samples/sec accuracy=37.998698 loss=2.796337 lr=0.052270 Epoch[112] Batch [2449]/[3760] Speed: 117.487555 samples/sec accuracy=37.965561 loss=2.797345 lr=0.052257 Epoch[112] Batch [2499]/[3760] Speed: 117.260021 samples/sec accuracy=37.960000 loss=2.797205 lr=0.052244 Epoch[112] Batch [2549]/[3760] Speed: 117.325631 samples/sec accuracy=37.943627 loss=2.798680 lr=0.052231 Epoch[112] Batch [2599]/[3760] Speed: 116.707369 samples/sec accuracy=37.942308 loss=2.798394 lr=0.052219 Epoch[112] Batch [2649]/[3760] Speed: 117.820908 samples/sec accuracy=37.963443 loss=2.797801 lr=0.052206 Epoch[112] Batch [2699]/[3760] Speed: 117.237263 samples/sec accuracy=37.940394 loss=2.799294 lr=0.052193 Epoch[112] Batch [2749]/[3760] Speed: 117.487372 samples/sec accuracy=37.963636 loss=2.799421 lr=0.052180 Epoch[112] Batch [2799]/[3760] Speed: 117.717895 samples/sec accuracy=37.949219 loss=2.800121 lr=0.052167 Epoch[112] Batch [2849]/[3760] Speed: 116.919275 samples/sec accuracy=37.925439 loss=2.800557 lr=0.052154 Epoch[112] Batch [2899]/[3760] Speed: 117.547770 samples/sec accuracy=37.906789 loss=2.801342 lr=0.052141 Epoch[112] Batch [2949]/[3760] Speed: 117.347259 samples/sec accuracy=37.882415 loss=2.801821 lr=0.052128 Epoch[112] Batch [2999]/[3760] Speed: 117.614355 samples/sec accuracy=37.879167 loss=2.801830 lr=0.052115 Epoch[112] Batch [3049]/[3760] Speed: 117.410873 samples/sec accuracy=37.894467 loss=2.801353 lr=0.052103 Epoch[112] Batch [3099]/[3760] Speed: 117.500098 samples/sec accuracy=37.903226 loss=2.800429 lr=0.052090 Epoch[112] Batch [3149]/[3760] Speed: 117.266238 samples/sec accuracy=37.904762 loss=2.800113 lr=0.052077 Epoch[112] Batch [3199]/[3760] Speed: 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loss=2.797343 lr=0.051948 Epoch[112] Batch [3699]/[3760] Speed: 117.147869 samples/sec accuracy=37.942145 loss=2.797837 lr=0.051935 Epoch[112] Batch [3749]/[3760] Speed: 120.961697 samples/sec accuracy=37.950000 loss=2.797639 lr=0.051922 Batch [0049]/[0303]: acc-top1=39.750000 acc-top5=63.843750 Batch [0099]/[0303]: acc-top1=38.046875 acc-top5=63.218750 Batch [0149]/[0303]: acc-top1=39.583333 acc-top5=64.520833 Batch [0199]/[0303]: acc-top1=41.664062 acc-top5=66.132812 Batch [0249]/[0303]: acc-top1=40.500000 acc-top5=65.668750 Batch [0299]/[0303]: acc-top1=39.489583 acc-top5=65.625000 [Epoch 112] training: accuracy=37.952128 loss=2.797612 [Epoch 112] speed: 116 samples/sec time cost: 2176.256483 [Epoch 112] validation: acc-top1=39.428630 acc-top5=65.583746 loss=2.791038 Epoch[113] Batch [0049]/[3759] Speed: 87.588333 samples/sec accuracy=38.750000 loss=2.729380 lr=0.051907 Epoch[113] Batch [0099]/[3759] Speed: 116.325173 samples/sec accuracy=38.546875 loss=2.750354 lr=0.051894 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loss=2.784692 lr=0.051043 Epoch[113] Batch [3449]/[3759] Speed: 116.847186 samples/sec accuracy=38.185688 loss=2.783694 lr=0.051030 Epoch[113] Batch [3499]/[3759] Speed: 117.317755 samples/sec accuracy=38.168304 loss=2.784354 lr=0.051017 Epoch[113] Batch [3549]/[3759] Speed: 117.264058 samples/sec accuracy=38.147887 loss=2.785294 lr=0.051004 Epoch[113] Batch [3599]/[3759] Speed: 117.912802 samples/sec accuracy=38.142361 loss=2.785383 lr=0.050991 Epoch[113] Batch [3649]/[3759] Speed: 115.824476 samples/sec accuracy=38.150685 loss=2.784819 lr=0.050978 Epoch[113] Batch [3699]/[3759] Speed: 116.934702 samples/sec accuracy=38.134291 loss=2.785662 lr=0.050966 Epoch[113] Batch [3749]/[3759] Speed: 120.647368 samples/sec accuracy=38.128750 loss=2.785727 lr=0.050953 Batch [0049]/[0303]: acc-top1=38.937500 acc-top5=63.968750 Batch [0099]/[0303]: acc-top1=36.281250 acc-top5=61.640625 Batch [0149]/[0303]: acc-top1=36.906250 acc-top5=62.218750 Batch [0199]/[0303]: acc-top1=39.546875 acc-top5=64.617188 Batch [0249]/[0303]: acc-top1=38.925000 acc-top5=64.625000 Batch [0299]/[0303]: acc-top1=38.197917 acc-top5=64.473958 [Epoch 113] training: accuracy=38.130154 loss=2.785433 [Epoch 113] speed: 116 samples/sec time cost: 2175.522451 [Epoch 113] validation: acc-top1=38.165223 acc-top5=64.485355 loss=2.938168 Epoch[114] Batch [0049]/[3760] Speed: 88.201165 samples/sec accuracy=38.875000 loss=2.744959 lr=0.050937 Epoch[114] Batch [0099]/[3760] Speed: 117.038290 samples/sec accuracy=38.546875 loss=2.769045 lr=0.050925 Epoch[114] Batch [0149]/[3760] Speed: 116.969206 samples/sec accuracy=39.083333 loss=2.745250 lr=0.050912 Epoch[114] Batch [0199]/[3760] Speed: 117.419504 samples/sec accuracy=39.031250 loss=2.736668 lr=0.050899 Epoch[114] Batch [0249]/[3760] Speed: 117.414435 samples/sec accuracy=39.175000 loss=2.739189 lr=0.050886 Epoch[114] Batch [0299]/[3760] Speed: 117.447902 samples/sec accuracy=39.270833 loss=2.734600 lr=0.050873 Epoch[114] Batch [0349]/[3760] Speed: 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acc-top5=64.927083 Batch [0199]/[0303]: acc-top1=42.148438 acc-top5=67.187500 Batch [0249]/[0303]: acc-top1=41.681250 acc-top5=67.131250 Batch [0299]/[0303]: acc-top1=41.187500 acc-top5=67.270833 [Epoch 115] training: accuracy=38.617437 loss=2.763462 [Epoch 115] speed: 116 samples/sec time cost: 2176.572106 [Epoch 115] validation: acc-top1=41.032384 acc-top5=67.192657 loss=2.732594 Epoch[116] Batch [0049]/[3759] Speed: 88.632308 samples/sec accuracy=38.875000 loss=2.710248 lr=0.048998 Epoch[116] Batch [0099]/[3759] Speed: 116.932218 samples/sec accuracy=37.984375 loss=2.754975 lr=0.048985 Epoch[116] Batch [0149]/[3759] Speed: 117.503858 samples/sec accuracy=38.291667 loss=2.756592 lr=0.048972 Epoch[116] Batch [0199]/[3759] Speed: 116.993966 samples/sec accuracy=38.492188 loss=2.747186 lr=0.048959 Epoch[116] Batch [0249]/[3759] Speed: 117.597962 samples/sec accuracy=38.437500 loss=2.759679 lr=0.048946 Epoch[116] Batch [0299]/[3759] Speed: 116.911229 samples/sec accuracy=38.432292 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accuracy=38.627500 loss=2.754130 lr=0.048688 Epoch[116] Batch [1299]/[3759] Speed: 116.989063 samples/sec accuracy=38.628606 loss=2.753965 lr=0.048675 Epoch[116] Batch [1349]/[3759] Speed: 116.863531 samples/sec accuracy=38.625000 loss=2.753808 lr=0.048663 Epoch[116] Batch [1399]/[3759] Speed: 117.823797 samples/sec accuracy=38.657366 loss=2.753498 lr=0.048650 Epoch[116] Batch [1449]/[3759] Speed: 116.687356 samples/sec accuracy=38.689655 loss=2.752091 lr=0.048637 Epoch[116] Batch [1499]/[3759] Speed: 117.344296 samples/sec accuracy=38.676042 loss=2.751612 lr=0.048624 Epoch[116] Batch [1549]/[3759] Speed: 115.564621 samples/sec accuracy=38.677419 loss=2.750369 lr=0.048611 Epoch[116] Batch [1599]/[3759] Speed: 117.842128 samples/sec accuracy=38.708008 loss=2.748462 lr=0.048598 Epoch[116] Batch [1649]/[3759] Speed: 117.488470 samples/sec accuracy=38.705492 loss=2.748656 lr=0.048585 Epoch[116] Batch [1699]/[3759] Speed: 118.034673 samples/sec accuracy=38.747243 loss=2.747148 lr=0.048572 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accuracy=38.648438 loss=2.753700 lr=0.048082 Epoch[116] Batch [3649]/[3759] Speed: 115.328644 samples/sec accuracy=38.640411 loss=2.753957 lr=0.048070 Epoch[116] Batch [3699]/[3759] Speed: 117.224996 samples/sec accuracy=38.658361 loss=2.753258 lr=0.048057 Epoch[116] Batch [3749]/[3759] Speed: 121.006324 samples/sec accuracy=38.648750 loss=2.753853 lr=0.048044 Batch [0049]/[0303]: acc-top1=39.218750 acc-top5=65.281250 Batch [0099]/[0303]: acc-top1=37.125000 acc-top5=63.921875 Batch [0149]/[0303]: acc-top1=39.197917 acc-top5=65.270833 Batch [0199]/[0303]: acc-top1=41.507812 acc-top5=67.179688 Batch [0249]/[0303]: acc-top1=40.781250 acc-top5=66.981250 Batch [0299]/[0303]: acc-top1=40.385417 acc-top5=66.822917 [Epoch 116] training: accuracy=38.658054 loss=2.753563 [Epoch 116] speed: 116 samples/sec time cost: 2176.490556 [Epoch 116] validation: acc-top1=40.367162 acc-top5=66.867781 loss=2.770941 Epoch[117] Batch [0049]/[3760] Speed: 87.271584 samples/sec accuracy=38.656250 loss=2.719391 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loss=2.736528 lr=0.047423 Epoch[117] Batch [2449]/[3760] Speed: 117.946443 samples/sec accuracy=39.135204 loss=2.736179 lr=0.047410 Epoch[117] Batch [2499]/[3760] Speed: 117.473670 samples/sec accuracy=39.113125 loss=2.737358 lr=0.047397 Epoch[117] Batch [2549]/[3760] Speed: 117.264092 samples/sec accuracy=39.122549 loss=2.737531 lr=0.047384 Epoch[117] Batch [2599]/[3760] Speed: 117.495826 samples/sec accuracy=39.106971 loss=2.737517 lr=0.047372 Epoch[117] Batch [2649]/[3760] Speed: 117.822515 samples/sec accuracy=39.107901 loss=2.737272 lr=0.047359 Epoch[117] Batch [2699]/[3760] Speed: 118.093849 samples/sec accuracy=39.101852 loss=2.738283 lr=0.047346 Epoch[117] Batch [2749]/[3760] Speed: 117.674450 samples/sec accuracy=39.111932 loss=2.737718 lr=0.047333 Epoch[117] Batch [2799]/[3760] Speed: 118.004549 samples/sec accuracy=39.092634 loss=2.738884 lr=0.047320 Epoch[117] Batch [2849]/[3760] Speed: 117.420763 samples/sec accuracy=39.082237 loss=2.739025 lr=0.047307 Epoch[117] Batch 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accuracy=39.155784 loss=2.737434 lr=0.047178 Epoch[117] Batch [3399]/[3760] Speed: 117.588562 samples/sec accuracy=39.155331 loss=2.737899 lr=0.047166 Epoch[117] Batch [3449]/[3760] Speed: 116.847536 samples/sec accuracy=39.182065 loss=2.737145 lr=0.047153 Epoch[117] Batch [3499]/[3760] Speed: 118.150256 samples/sec accuracy=39.173661 loss=2.737278 lr=0.047140 Epoch[117] Batch [3549]/[3760] Speed: 118.364566 samples/sec accuracy=39.175176 loss=2.737276 lr=0.047127 Epoch[117] Batch [3599]/[3760] Speed: 116.671773 samples/sec accuracy=39.180122 loss=2.737211 lr=0.047114 Epoch[117] Batch [3649]/[3760] Speed: 117.146167 samples/sec accuracy=39.208904 loss=2.735950 lr=0.047101 Epoch[117] Batch [3699]/[3760] Speed: 117.121596 samples/sec accuracy=39.206926 loss=2.736726 lr=0.047088 Epoch[117] Batch [3749]/[3760] Speed: 120.298372 samples/sec accuracy=39.181250 loss=2.738042 lr=0.047075 Batch [0049]/[0303]: acc-top1=39.687500 acc-top5=65.031250 Batch [0099]/[0303]: acc-top1=36.187500 acc-top5=62.531250 Batch [0149]/[0303]: acc-top1=38.270833 acc-top5=64.062500 Batch [0199]/[0303]: acc-top1=40.742188 acc-top5=65.781250 Batch [0249]/[0303]: acc-top1=40.512500 acc-top5=65.825000 Batch [0299]/[0303]: acc-top1=40.015625 acc-top5=66.020833 [Epoch 117] training: accuracy=39.183428 loss=2.737890 [Epoch 117] speed: 116 samples/sec time cost: 2176.641356 [Epoch 117] validation: acc-top1=40.057756 acc-top5=66.083952 loss=2.808520 Epoch[118] Batch [0049]/[3760] Speed: 87.626868 samples/sec accuracy=39.218750 loss=2.747363 lr=0.047060 Epoch[118] Batch [0099]/[3760] Speed: 117.465882 samples/sec accuracy=39.484375 loss=2.733495 lr=0.047047 Epoch[118] Batch [0149]/[3760] Speed: 117.045191 samples/sec accuracy=39.885417 loss=2.701875 lr=0.047034 Epoch[118] Batch [0199]/[3760] Speed: 114.866772 samples/sec accuracy=39.531250 loss=2.711619 lr=0.047021 Epoch[118] Batch [0249]/[3760] Speed: 117.702029 samples/sec accuracy=39.356250 loss=2.707798 lr=0.047008 Epoch[118] Batch 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accuracy=39.152083 loss=2.719294 lr=0.046880 Epoch[118] Batch [0799]/[3760] Speed: 117.952142 samples/sec accuracy=39.175781 loss=2.719129 lr=0.046867 Epoch[118] Batch [0849]/[3760] Speed: 117.052637 samples/sec accuracy=39.238971 loss=2.718345 lr=0.046854 Epoch[118] Batch [0899]/[3760] Speed: 117.296004 samples/sec accuracy=39.248264 loss=2.718775 lr=0.046841 Epoch[118] Batch [0949]/[3760] Speed: 117.473255 samples/sec accuracy=39.340461 loss=2.718487 lr=0.046828 Epoch[118] Batch [0999]/[3760] Speed: 117.754806 samples/sec accuracy=39.400000 loss=2.717259 lr=0.046815 Epoch[118] Batch [1049]/[3760] Speed: 116.639898 samples/sec accuracy=39.398810 loss=2.718665 lr=0.046802 Epoch[118] Batch [1099]/[3760] Speed: 116.896465 samples/sec accuracy=39.394886 loss=2.718264 lr=0.046790 Epoch[118] Batch [1149]/[3760] Speed: 118.163750 samples/sec accuracy=39.313859 loss=2.719937 lr=0.046777 Epoch[118] Batch [1199]/[3760] Speed: 115.863190 samples/sec accuracy=39.313802 loss=2.720286 lr=0.046764 Epoch[118] Batch [1249]/[3760] Speed: 118.177132 samples/sec accuracy=39.362500 loss=2.719382 lr=0.046751 Epoch[118] Batch [1299]/[3760] Speed: 117.148027 samples/sec accuracy=39.307692 loss=2.721931 lr=0.046738 Epoch[118] Batch [1349]/[3760] Speed: 117.445699 samples/sec accuracy=39.273148 loss=2.723150 lr=0.046725 Epoch[118] Batch [1399]/[3760] Speed: 117.420433 samples/sec accuracy=39.256696 loss=2.722600 lr=0.046712 Epoch[118] Batch [1449]/[3760] Speed: 117.310182 samples/sec accuracy=39.245690 loss=2.722837 lr=0.046699 Epoch[118] Batch [1499]/[3760] Speed: 117.980361 samples/sec accuracy=39.256250 loss=2.722411 lr=0.046687 Epoch[118] Batch [1549]/[3760] Speed: 117.789304 samples/sec accuracy=39.228831 loss=2.722975 lr=0.046674 Epoch[118] Batch [1599]/[3760] Speed: 116.375733 samples/sec accuracy=39.198242 loss=2.725677 lr=0.046661 Epoch[118] Batch [1649]/[3760] Speed: 116.822778 samples/sec accuracy=39.156250 loss=2.726154 lr=0.046648 Epoch[118] Batch [1699]/[3760] Speed: 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loss=2.722395 lr=0.046519 Epoch[118] Batch [2199]/[3760] Speed: 117.316231 samples/sec accuracy=39.272727 loss=2.721537 lr=0.046506 Epoch[118] Batch [2249]/[3760] Speed: 116.069623 samples/sec accuracy=39.277778 loss=2.722891 lr=0.046494 Epoch[118] Batch [2299]/[3760] Speed: 118.016694 samples/sec accuracy=39.281929 loss=2.722341 lr=0.046481 Epoch[118] Batch [2349]/[3760] Speed: 117.807244 samples/sec accuracy=39.287234 loss=2.722013 lr=0.046468 Epoch[118] Batch [2399]/[3760] Speed: 117.862991 samples/sec accuracy=39.264974 loss=2.723517 lr=0.046455 Epoch[118] Batch [2449]/[3760] Speed: 117.311844 samples/sec accuracy=39.223852 loss=2.725644 lr=0.046442 Epoch[118] Batch [2499]/[3760] Speed: 117.715969 samples/sec accuracy=39.226250 loss=2.725561 lr=0.046429 Epoch[118] Batch [2549]/[3760] Speed: 116.652087 samples/sec accuracy=39.227328 loss=2.725573 lr=0.046416 Epoch[118] Batch [2599]/[3760] Speed: 117.643487 samples/sec accuracy=39.239784 loss=2.725653 lr=0.046404 Epoch[118] Batch 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accuracy=39.197077 loss=2.727919 lr=0.046275 Epoch[118] Batch [3149]/[3760] Speed: 117.556225 samples/sec accuracy=39.178075 loss=2.729325 lr=0.046262 Epoch[118] Batch [3199]/[3760] Speed: 117.937062 samples/sec accuracy=39.165527 loss=2.730206 lr=0.046249 Epoch[118] Batch [3249]/[3760] Speed: 116.643694 samples/sec accuracy=39.169712 loss=2.729890 lr=0.046236 Epoch[118] Batch [3299]/[3760] Speed: 116.689111 samples/sec accuracy=39.178977 loss=2.729555 lr=0.046223 Epoch[118] Batch [3349]/[3760] Speed: 117.692605 samples/sec accuracy=39.153451 loss=2.731120 lr=0.046211 Epoch[118] Batch [3399]/[3760] Speed: 117.304219 samples/sec accuracy=39.163603 loss=2.729888 lr=0.046198 Epoch[118] Batch [3449]/[3760] Speed: 117.278726 samples/sec accuracy=39.173913 loss=2.729095 lr=0.046185 Epoch[118] Batch [3499]/[3760] Speed: 117.909436 samples/sec accuracy=39.206696 loss=2.727739 lr=0.046172 Epoch[118] Batch [3549]/[3760] Speed: 117.360345 samples/sec accuracy=39.196743 loss=2.727692 lr=0.046159 Epoch[118] Batch [3599]/[3760] Speed: 117.416391 samples/sec accuracy=39.195312 loss=2.726967 lr=0.046146 Epoch[118] Batch [3649]/[3760] Speed: 117.997438 samples/sec accuracy=39.200342 loss=2.727594 lr=0.046133 Epoch[118] Batch [3699]/[3760] Speed: 116.578073 samples/sec accuracy=39.220861 loss=2.726837 lr=0.046121 Epoch[118] Batch [3749]/[3760] Speed: 120.369486 samples/sec accuracy=39.197083 loss=2.728117 lr=0.046108 Batch [0049]/[0303]: acc-top1=41.187500 acc-top5=66.062500 Batch [0099]/[0303]: acc-top1=38.875000 acc-top5=65.187500 Batch [0149]/[0303]: acc-top1=39.791667 acc-top5=65.625000 Batch [0199]/[0303]: acc-top1=42.203125 acc-top5=67.695312 Batch [0249]/[0303]: acc-top1=41.056250 acc-top5=67.231250 Batch [0299]/[0303]: acc-top1=40.692708 acc-top5=67.255208 [Epoch 118] training: accuracy=39.197557 loss=2.728036 [Epoch 118] speed: 116 samples/sec time cost: 2177.455907 [Epoch 118] validation: acc-top1=40.650784 acc-top5=67.290635 loss=2.757282 Epoch[119] Batch [0049]/[3759] Speed: 89.622572 samples/sec accuracy=38.937500 loss=2.710467 lr=0.046092 Epoch[119] Batch [0099]/[3759] Speed: 117.246669 samples/sec accuracy=38.453125 loss=2.773968 lr=0.046079 Epoch[119] Batch [0149]/[3759] Speed: 117.513223 samples/sec accuracy=39.187500 loss=2.735164 lr=0.046067 Epoch[119] Batch [0199]/[3759] Speed: 117.072791 samples/sec accuracy=39.070312 loss=2.738568 lr=0.046054 Epoch[119] Batch [0249]/[3759] Speed: 117.444500 samples/sec accuracy=39.112500 loss=2.734404 lr=0.046041 Epoch[119] Batch [0299]/[3759] Speed: 117.905208 samples/sec accuracy=39.213542 loss=2.718905 lr=0.046028 Epoch[119] Batch [0349]/[3759] Speed: 117.154937 samples/sec accuracy=39.151786 loss=2.728139 lr=0.046015 Epoch[119] Batch [0399]/[3759] Speed: 116.904379 samples/sec accuracy=39.097656 loss=2.732532 lr=0.046002 Epoch[119] Batch [0449]/[3759] Speed: 117.135517 samples/sec accuracy=39.381944 loss=2.719633 lr=0.045989 Epoch[119] Batch [0499]/[3759] Speed: 115.874799 samples/sec accuracy=39.343750 loss=2.718615 lr=0.045977 Epoch[119] Batch [0549]/[3759] Speed: 117.075147 samples/sec accuracy=39.411932 loss=2.718012 lr=0.045964 Epoch[119] Batch [0599]/[3759] Speed: 117.891753 samples/sec accuracy=39.455729 loss=2.719325 lr=0.045951 Epoch[119] Batch [0649]/[3759] Speed: 116.972370 samples/sec accuracy=39.526442 loss=2.714070 lr=0.045938 Epoch[119] Batch [0699]/[3759] Speed: 117.775694 samples/sec accuracy=39.504464 loss=2.714211 lr=0.045925 Epoch[119] Batch [0749]/[3759] Speed: 116.780437 samples/sec accuracy=39.614583 loss=2.708198 lr=0.045912 Epoch[119] Batch [0799]/[3759] Speed: 117.221599 samples/sec accuracy=39.527344 loss=2.712036 lr=0.045899 Epoch[119] Batch [0849]/[3759] Speed: 117.117910 samples/sec accuracy=39.568015 loss=2.710082 lr=0.045887 Epoch[119] Batch [0899]/[3759] Speed: 117.232637 samples/sec accuracy=39.592014 loss=2.709369 lr=0.045874 Epoch[119] Batch [0949]/[3759] Speed: 117.388211 samples/sec accuracy=39.570724 loss=2.709177 lr=0.045861 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loss=2.715418 lr=0.045617 Epoch[119] Batch [1949]/[3759] Speed: 117.247305 samples/sec accuracy=39.455128 loss=2.714011 lr=0.045604 Epoch[119] Batch [1999]/[3759] Speed: 117.000338 samples/sec accuracy=39.432812 loss=2.715279 lr=0.045591 Epoch[119] Batch [2049]/[3759] Speed: 117.156372 samples/sec accuracy=39.445884 loss=2.715194 lr=0.045578 Epoch[119] Batch [2099]/[3759] Speed: 117.727843 samples/sec accuracy=39.438988 loss=2.715017 lr=0.045565 Epoch[119] Batch [2149]/[3759] Speed: 118.366924 samples/sec accuracy=39.472384 loss=2.714020 lr=0.045553 Epoch[119] Batch [2199]/[3759] Speed: 116.623198 samples/sec accuracy=39.482955 loss=2.713954 lr=0.045540 Epoch[119] Batch [2249]/[3759] Speed: 118.254691 samples/sec accuracy=39.485417 loss=2.714266 lr=0.045527 Epoch[119] Batch [2299]/[3759] Speed: 117.669525 samples/sec accuracy=39.474185 loss=2.714142 lr=0.045514 Epoch[119] Batch [2349]/[3759] Speed: 116.956041 samples/sec accuracy=39.473404 loss=2.713747 lr=0.045501 Epoch[119] Batch 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accuracy=39.401316 loss=2.715877 lr=0.045373 Epoch[119] Batch [2899]/[3759] Speed: 117.437480 samples/sec accuracy=39.403017 loss=2.715717 lr=0.045360 Epoch[119] Batch [2949]/[3759] Speed: 117.422820 samples/sec accuracy=39.397246 loss=2.715412 lr=0.045347 Epoch[119] Batch [2999]/[3759] Speed: 118.020557 samples/sec accuracy=39.396354 loss=2.716098 lr=0.045334 Epoch[119] Batch [3049]/[3759] Speed: 117.127753 samples/sec accuracy=39.368852 loss=2.717209 lr=0.045321 Epoch[119] Batch [3099]/[3759] Speed: 116.761467 samples/sec accuracy=39.376008 loss=2.717178 lr=0.045309 Epoch[119] Batch [3149]/[3759] Speed: 117.778542 samples/sec accuracy=39.386905 loss=2.717133 lr=0.045296 Epoch[119] Batch [3199]/[3759] Speed: 117.151354 samples/sec accuracy=39.385254 loss=2.717388 lr=0.045283 Epoch[119] Batch [3249]/[3759] Speed: 117.317890 samples/sec accuracy=39.381250 loss=2.717802 lr=0.045270 Epoch[119] Batch [3299]/[3759] Speed: 118.164750 samples/sec accuracy=39.390152 loss=2.717875 lr=0.045257 Epoch[119] Batch [3349]/[3759] Speed: 116.989374 samples/sec accuracy=39.377799 loss=2.718290 lr=0.045244 Epoch[119] Batch [3399]/[3759] Speed: 114.425129 samples/sec accuracy=39.375460 loss=2.718931 lr=0.045231 Epoch[119] Batch [3449]/[3759] Speed: 118.081461 samples/sec accuracy=39.383152 loss=2.718683 lr=0.045219 Epoch[119] Batch [3499]/[3759] Speed: 117.760768 samples/sec accuracy=39.380804 loss=2.719347 lr=0.045206 Epoch[119] Batch [3549]/[3759] Speed: 117.537341 samples/sec accuracy=39.367958 loss=2.719246 lr=0.045193 Epoch[119] Batch [3599]/[3759] Speed: 117.332377 samples/sec accuracy=39.399306 loss=2.718254 lr=0.045180 Epoch[119] Batch [3649]/[3759] Speed: 116.131960 samples/sec accuracy=39.414384 loss=2.717560 lr=0.045167 Epoch[119] Batch [3699]/[3759] Speed: 117.374816 samples/sec accuracy=39.422297 loss=2.717178 lr=0.045154 Epoch[119] Batch [3749]/[3759] Speed: 120.756498 samples/sec accuracy=39.436250 loss=2.717037 lr=0.045142 Batch [0049]/[0303]: acc-top1=41.843750 acc-top5=66.812500 Batch [0099]/[0303]: acc-top1=38.500000 acc-top5=64.328125 Batch [0149]/[0303]: acc-top1=39.510417 acc-top5=65.260417 Batch [0199]/[0303]: acc-top1=41.984375 acc-top5=67.234375 Batch [0249]/[0303]: acc-top1=41.318750 acc-top5=66.787500 Batch [0299]/[0303]: acc-top1=40.916667 acc-top5=66.734375 [Epoch 119] training: accuracy=39.436602 loss=2.716913 [Epoch 119] speed: 116 samples/sec time cost: 2177.041969 [Epoch 119] validation: acc-top1=40.846741 acc-top5=66.713078 loss=2.735907 Epoch[120] Batch [0049]/[3760] Speed: 88.283085 samples/sec accuracy=40.937500 loss=2.663900 lr=0.045126 Epoch[120] Batch [0099]/[3760] Speed: 117.800062 samples/sec accuracy=40.375000 loss=2.694778 lr=0.045114 Epoch[120] Batch [0149]/[3760] Speed: 117.239269 samples/sec accuracy=40.250000 loss=2.679679 lr=0.045101 Epoch[120] Batch [0199]/[3760] Speed: 117.487317 samples/sec accuracy=40.429688 loss=2.669760 lr=0.045088 Epoch[120] Batch [0249]/[3760] Speed: 118.103629 samples/sec accuracy=40.387500 loss=2.671690 lr=0.045075 Epoch[120] Batch [0299]/[3760] Speed: 116.568799 samples/sec accuracy=40.208333 loss=2.685100 lr=0.045062 Epoch[120] Batch [0349]/[3760] Speed: 117.658449 samples/sec accuracy=40.397321 loss=2.670831 lr=0.045049 Epoch[120] Batch [0399]/[3760] Speed: 116.893906 samples/sec accuracy=40.367188 loss=2.669533 lr=0.045037 Epoch[120] Batch [0449]/[3760] Speed: 117.456517 samples/sec accuracy=40.229167 loss=2.674667 lr=0.045024 Epoch[120] Batch [0499]/[3760] Speed: 117.179702 samples/sec accuracy=40.221875 loss=2.674308 lr=0.045011 Epoch[120] Batch [0549]/[3760] Speed: 117.396273 samples/sec accuracy=40.346591 loss=2.670558 lr=0.044998 Epoch[120] Batch [0599]/[3760] Speed: 116.702244 samples/sec accuracy=40.505208 loss=2.663039 lr=0.044985 Epoch[120] Batch [0649]/[3760] Speed: 117.873180 samples/sec accuracy=40.459135 loss=2.664097 lr=0.044972 Epoch[120] Batch [0699]/[3760] Speed: 118.692791 samples/sec accuracy=40.515625 loss=2.663255 lr=0.044960 Epoch[120] Batch [0749]/[3760] Speed: 117.348657 samples/sec accuracy=40.472917 loss=2.663966 lr=0.044947 Epoch[120] Batch [0799]/[3760] Speed: 116.959176 samples/sec accuracy=40.396484 loss=2.668501 lr=0.044934 Epoch[120] Batch [0849]/[3760] Speed: 117.085477 samples/sec accuracy=40.325368 loss=2.671732 lr=0.044921 Epoch[120] Batch [0899]/[3760] Speed: 116.890308 samples/sec accuracy=40.251736 loss=2.674401 lr=0.044908 Epoch[120] Batch [0949]/[3760] Speed: 117.520925 samples/sec accuracy=40.241776 loss=2.673580 lr=0.044895 Epoch[120] Batch [0999]/[3760] Speed: 117.998424 samples/sec accuracy=40.190625 loss=2.674712 lr=0.044883 Epoch[120] Batch [1049]/[3760] Speed: 117.755391 samples/sec accuracy=40.144345 loss=2.674432 lr=0.044870 Epoch[120] Batch [1099]/[3760] Speed: 118.084380 samples/sec accuracy=40.129261 loss=2.676431 lr=0.044857 Epoch[120] Batch [1149]/[3760] Speed: 117.492866 samples/sec accuracy=40.073370 loss=2.678986 lr=0.044844 Epoch[120] Batch [1199]/[3760] Speed: 116.263125 samples/sec accuracy=40.003906 loss=2.682842 lr=0.044831 Epoch[120] Batch [1249]/[3760] Speed: 116.878602 samples/sec accuracy=39.968750 loss=2.684062 lr=0.044818 Epoch[120] Batch [1299]/[3760] Speed: 117.680427 samples/sec accuracy=39.950721 loss=2.685670 lr=0.044806 Epoch[120] Batch [1349]/[3760] Speed: 117.393062 samples/sec accuracy=39.924769 loss=2.686786 lr=0.044793 Epoch[120] Batch [1399]/[3760] Speed: 117.658350 samples/sec accuracy=39.918527 loss=2.687632 lr=0.044780 Epoch[120] Batch [1449]/[3760] Speed: 115.867746 samples/sec accuracy=39.935345 loss=2.687992 lr=0.044767 Epoch[120] Batch [1499]/[3760] Speed: 117.967553 samples/sec accuracy=39.945833 loss=2.687902 lr=0.044754 Epoch[120] Batch [1549]/[3760] Speed: 117.513574 samples/sec accuracy=39.916331 loss=2.689362 lr=0.044742 Epoch[120] Batch [1599]/[3760] Speed: 116.716682 samples/sec accuracy=39.904297 loss=2.691396 lr=0.044729 Epoch[120] Batch [1649]/[3760] Speed: 117.312445 samples/sec accuracy=39.870265 loss=2.693498 lr=0.044716 Epoch[120] Batch [1699]/[3760] Speed: 117.872065 samples/sec accuracy=39.901654 loss=2.691656 lr=0.044703 Epoch[120] Batch [1749]/[3760] Speed: 117.823354 samples/sec accuracy=39.886607 loss=2.692216 lr=0.044690 Epoch[120] Batch [1799]/[3760] Speed: 116.581999 samples/sec accuracy=39.857639 loss=2.693383 lr=0.044677 Epoch[120] Batch [1849]/[3760] Speed: 118.068944 samples/sec accuracy=39.848818 loss=2.693295 lr=0.044665 Epoch[120] Batch [1899]/[3760] Speed: 117.383766 samples/sec accuracy=39.844572 loss=2.694190 lr=0.044652 Epoch[120] Batch [1949]/[3760] Speed: 117.362338 samples/sec accuracy=39.822115 loss=2.694431 lr=0.044639 Epoch[120] Batch [1999]/[3760] Speed: 117.437563 samples/sec accuracy=39.821875 loss=2.695267 lr=0.044626 Epoch[120] Batch [2049]/[3760] Speed: 117.453543 samples/sec accuracy=39.791159 loss=2.697453 lr=0.044613 Epoch[120] Batch [2099]/[3760] Speed: 116.845339 samples/sec accuracy=39.786458 loss=2.697393 lr=0.044600 Epoch[120] Batch 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accuracy=39.825120 loss=2.696460 lr=0.044472 Epoch[120] Batch [2649]/[3760] Speed: 117.117561 samples/sec accuracy=39.814858 loss=2.696812 lr=0.044459 Epoch[120] Batch [2699]/[3760] Speed: 117.748814 samples/sec accuracy=39.811343 loss=2.696879 lr=0.044447 Epoch[120] Batch [2749]/[3760] Speed: 117.182710 samples/sec accuracy=39.790909 loss=2.698150 lr=0.044434 Epoch[120] Batch [2799]/[3760] Speed: 117.037253 samples/sec accuracy=39.791295 loss=2.698090 lr=0.044421 Epoch[120] Batch [2849]/[3760] Speed: 117.448119 samples/sec accuracy=39.783443 loss=2.697773 lr=0.044408 Epoch[120] Batch [2899]/[3760] Speed: 117.763538 samples/sec accuracy=39.796875 loss=2.697904 lr=0.044395 Epoch[120] Batch [2949]/[3760] Speed: 117.225585 samples/sec accuracy=39.821504 loss=2.697334 lr=0.044383 Epoch[120] Batch [2999]/[3760] Speed: 117.285885 samples/sec accuracy=39.797917 loss=2.698611 lr=0.044370 Epoch[120] Batch [3049]/[3760] Speed: 117.459590 samples/sec accuracy=39.787398 loss=2.698542 lr=0.044357 Epoch[120] Batch [3099]/[3760] Speed: 117.630839 samples/sec accuracy=39.779234 loss=2.699345 lr=0.044344 Epoch[120] Batch [3149]/[3760] Speed: 117.735713 samples/sec accuracy=39.781250 loss=2.698779 lr=0.044331 Epoch[120] Batch [3199]/[3760] Speed: 117.089184 samples/sec accuracy=39.771973 loss=2.699241 lr=0.044318 Epoch[120] Batch [3249]/[3760] Speed: 117.532175 samples/sec accuracy=39.772115 loss=2.699089 lr=0.044306 Epoch[120] Batch [3299]/[3760] Speed: 116.857586 samples/sec accuracy=39.752367 loss=2.700500 lr=0.044293 Epoch[120] Batch [3349]/[3760] Speed: 117.395564 samples/sec accuracy=39.770989 loss=2.699436 lr=0.044280 Epoch[120] Batch [3399]/[3760] Speed: 117.649359 samples/sec accuracy=39.772978 loss=2.699442 lr=0.044267 Epoch[120] Batch [3449]/[3760] Speed: 117.402263 samples/sec accuracy=39.780344 loss=2.699188 lr=0.044254 Epoch[120] Batch [3499]/[3760] Speed: 116.770146 samples/sec accuracy=39.797321 loss=2.698857 lr=0.044242 Epoch[120] Batch [3549]/[3760] Speed: 117.298046 samples/sec accuracy=39.791813 loss=2.699737 lr=0.044229 Epoch[120] Batch [3599]/[3760] Speed: 115.962695 samples/sec accuracy=39.798611 loss=2.699406 lr=0.044216 Epoch[120] Batch [3649]/[3760] Speed: 117.632055 samples/sec accuracy=39.784675 loss=2.700150 lr=0.044203 Epoch[120] Batch [3699]/[3760] Speed: 116.859201 samples/sec accuracy=39.807855 loss=2.699281 lr=0.044190 Epoch[120] Batch [3749]/[3760] Speed: 120.426184 samples/sec accuracy=39.788750 loss=2.700724 lr=0.044178 Batch [0049]/[0303]: acc-top1=41.750000 acc-top5=67.000000 Batch [0099]/[0303]: acc-top1=38.375000 acc-top5=64.515625 Batch [0149]/[0303]: acc-top1=39.354167 acc-top5=65.354167 Batch [0199]/[0303]: acc-top1=41.718750 acc-top5=67.195312 Batch [0249]/[0303]: acc-top1=41.187500 acc-top5=67.187500 Batch [0299]/[0303]: acc-top1=40.526042 acc-top5=67.072917 [Epoch 120] training: accuracy=39.786818 loss=2.700747 [Epoch 120] speed: 116 samples/sec time cost: 2176.472208 [Epoch 120] validation: acc-top1=40.527021 acc-top5=67.094678 loss=2.762391 Epoch[121] Batch [0049]/[3760] Speed: 87.537152 samples/sec accuracy=40.875000 loss=2.643638 lr=0.044162 Epoch[121] Batch [0099]/[3760] Speed: 117.127167 samples/sec accuracy=42.062500 loss=2.622045 lr=0.044149 Epoch[121] Batch [0149]/[3760] Speed: 118.009365 samples/sec accuracy=41.979167 loss=2.625068 lr=0.044137 Epoch[121] Batch [0199]/[3760] Speed: 117.388106 samples/sec accuracy=41.898438 loss=2.623831 lr=0.044124 Epoch[121] Batch [0249]/[3760] Speed: 118.100475 samples/sec accuracy=41.512500 loss=2.635458 lr=0.044111 Epoch[121] Batch [0299]/[3760] Speed: 117.189861 samples/sec accuracy=41.447917 loss=2.641060 lr=0.044098 Epoch[121] Batch [0349]/[3760] Speed: 117.946808 samples/sec accuracy=41.352679 loss=2.642763 lr=0.044085 Epoch[121] Batch [0399]/[3760] Speed: 117.200835 samples/sec accuracy=41.328125 loss=2.643941 lr=0.044073 Epoch[121] Batch [0449]/[3760] Speed: 117.709811 samples/sec accuracy=41.187500 loss=2.648234 lr=0.044060 Epoch[121] Batch [0499]/[3760] Speed: 116.665886 samples/sec accuracy=41.178125 loss=2.648380 lr=0.044047 Epoch[121] Batch [0549]/[3760] Speed: 118.224471 samples/sec accuracy=41.107955 loss=2.651420 lr=0.044034 Epoch[121] Batch [0599]/[3760] Speed: 117.565444 samples/sec accuracy=41.059896 loss=2.650526 lr=0.044021 Epoch[121] Batch [0649]/[3760] Speed: 117.089708 samples/sec accuracy=40.990385 loss=2.652157 lr=0.044008 Epoch[121] Batch [0699]/[3760] Speed: 116.965161 samples/sec accuracy=40.908482 loss=2.656331 lr=0.043996 Epoch[121] Batch [0749]/[3760] Speed: 117.203808 samples/sec accuracy=40.881250 loss=2.655931 lr=0.043983 Epoch[121] Batch [0799]/[3760] Speed: 117.927509 samples/sec accuracy=40.865234 loss=2.656812 lr=0.043970 Epoch[121] Batch [0849]/[3760] Speed: 117.976736 samples/sec accuracy=40.737132 loss=2.659734 lr=0.043957 Epoch[121] Batch [0899]/[3760] Speed: 115.573541 samples/sec accuracy=40.689236 loss=2.659220 lr=0.043944 Epoch[121] Batch [0949]/[3760] 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accuracy=40.337054 loss=2.677193 lr=0.043816 Epoch[121] Batch [1449]/[3760] Speed: 116.945389 samples/sec accuracy=40.330819 loss=2.677944 lr=0.043804 Epoch[121] Batch [1499]/[3760] Speed: 117.607940 samples/sec accuracy=40.297917 loss=2.678185 lr=0.043791 Epoch[121] Batch [1549]/[3760] Speed: 117.261815 samples/sec accuracy=40.270161 loss=2.679663 lr=0.043778 Epoch[121] Batch [1599]/[3760] Speed: 117.444429 samples/sec accuracy=40.333008 loss=2.676672 lr=0.043765 Epoch[121] Batch [1649]/[3760] Speed: 117.637065 samples/sec accuracy=40.276515 loss=2.678673 lr=0.043752 Epoch[121] Batch [1699]/[3760] Speed: 117.286616 samples/sec accuracy=40.286765 loss=2.678131 lr=0.043740 Epoch[121] Batch [1749]/[3760] Speed: 117.071500 samples/sec accuracy=40.266964 loss=2.678680 lr=0.043727 Epoch[121] Batch [1799]/[3760] Speed: 118.310009 samples/sec accuracy=40.269097 loss=2.677709 lr=0.043714 Epoch[121] Batch [1849]/[3760] Speed: 116.745194 samples/sec accuracy=40.298142 loss=2.678014 lr=0.043701 Epoch[121] Batch [1899]/[3760] Speed: 117.245435 samples/sec accuracy=40.285362 loss=2.679526 lr=0.043688 Epoch[121] Batch [1949]/[3760] Speed: 114.462420 samples/sec accuracy=40.313301 loss=2.677688 lr=0.043676 Epoch[121] Batch [1999]/[3760] Speed: 116.806240 samples/sec accuracy=40.322656 loss=2.676897 lr=0.043663 Epoch[121] Batch [2049]/[3760] Speed: 117.436411 samples/sec accuracy=40.309451 loss=2.677488 lr=0.043650 Epoch[121] Batch [2099]/[3760] Speed: 117.334274 samples/sec accuracy=40.297619 loss=2.678107 lr=0.043637 Epoch[121] Batch [2149]/[3760] Speed: 117.533048 samples/sec accuracy=40.303779 loss=2.678448 lr=0.043625 Epoch[121] Batch [2199]/[3760] Speed: 117.286612 samples/sec accuracy=40.303977 loss=2.678102 lr=0.043612 Epoch[121] Batch [2249]/[3760] Speed: 117.498808 samples/sec accuracy=40.306944 loss=2.678357 lr=0.043599 Epoch[121] Batch [2299]/[3760] Speed: 117.232606 samples/sec accuracy=40.311141 loss=2.678605 lr=0.043586 Epoch[121] Batch [2349]/[3760] Speed: 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loss=2.679305 lr=0.043458 Epoch[121] Batch [2849]/[3760] Speed: 117.303914 samples/sec accuracy=40.167763 loss=2.680961 lr=0.043445 Epoch[121] Batch [2899]/[3760] Speed: 117.257725 samples/sec accuracy=40.144397 loss=2.681856 lr=0.043433 Epoch[121] Batch [2949]/[3760] Speed: 117.291798 samples/sec accuracy=40.150424 loss=2.681416 lr=0.043420 Epoch[121] Batch [2999]/[3760] Speed: 116.017579 samples/sec accuracy=40.161458 loss=2.681123 lr=0.043407 Epoch[121] Batch [3049]/[3760] Speed: 117.969753 samples/sec accuracy=40.149078 loss=2.682226 lr=0.043394 Epoch[121] Batch [3099]/[3760] Speed: 116.959023 samples/sec accuracy=40.147681 loss=2.682132 lr=0.043382 Epoch[121] Batch [3149]/[3760] Speed: 116.935802 samples/sec accuracy=40.126984 loss=2.683069 lr=0.043369 Epoch[121] Batch [3199]/[3760] Speed: 117.412650 samples/sec accuracy=40.128418 loss=2.683217 lr=0.043356 Epoch[121] Batch [3249]/[3760] Speed: 117.645696 samples/sec accuracy=40.121154 loss=2.683893 lr=0.043343 Epoch[121] Batch 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accuracy=40.079167 loss=2.687269 lr=0.043215 Batch [0049]/[0303]: acc-top1=40.906250 acc-top5=67.250000 Batch [0099]/[0303]: acc-top1=38.406250 acc-top5=65.156250 Batch [0149]/[0303]: acc-top1=40.041667 acc-top5=65.947917 Batch [0199]/[0303]: acc-top1=42.656250 acc-top5=68.039062 Batch [0249]/[0303]: acc-top1=42.231250 acc-top5=68.218750 Batch [0299]/[0303]: acc-top1=41.713542 acc-top5=68.093750 [Epoch 121] training: accuracy=40.077709 loss=2.687499 [Epoch 121] speed: 116 samples/sec time cost: 2177.344638 [Epoch 121] validation: acc-top1=41.671823 acc-top5=68.162129 loss=2.649938 Epoch[122] Batch [0049]/[3759] Speed: 86.693501 samples/sec accuracy=40.625000 loss=2.661261 lr=0.043200 Epoch[122] Batch [0099]/[3759] Speed: 117.445664 samples/sec accuracy=41.625000 loss=2.628220 lr=0.043187 Epoch[122] Batch [0149]/[3759] Speed: 117.803528 samples/sec accuracy=41.333333 loss=2.630686 lr=0.043175 Epoch[122] Batch [0199]/[3759] Speed: 117.106010 samples/sec accuracy=41.218750 loss=2.640253 lr=0.043162 Epoch[122] Batch [0249]/[3759] Speed: 117.121097 samples/sec accuracy=41.187500 loss=2.642224 lr=0.043149 Epoch[122] Batch [0299]/[3759] Speed: 115.435891 samples/sec accuracy=41.046875 loss=2.643151 lr=0.043136 Epoch[122] Batch [0349]/[3759] Speed: 117.472415 samples/sec accuracy=40.825893 loss=2.644668 lr=0.043123 Epoch[122] Batch [0399]/[3759] Speed: 117.660478 samples/sec accuracy=40.574219 loss=2.651762 lr=0.043111 Epoch[122] Batch [0449]/[3759] Speed: 117.418075 samples/sec accuracy=40.510417 loss=2.653105 lr=0.043098 Epoch[122] Batch [0499]/[3759] Speed: 116.879005 samples/sec accuracy=40.506250 loss=2.654336 lr=0.043085 Epoch[122] Batch [0549]/[3759] Speed: 116.910256 samples/sec accuracy=40.465909 loss=2.662310 lr=0.043072 Epoch[122] Batch [0599]/[3759] Speed: 117.659154 samples/sec accuracy=40.434896 loss=2.664544 lr=0.043060 Epoch[122] Batch [0649]/[3759] Speed: 116.659755 samples/sec accuracy=40.399038 loss=2.667582 lr=0.043047 Epoch[122] Batch [0699]/[3759] 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accuracy=40.494565 loss=2.667354 lr=0.042919 Epoch[122] Batch [1199]/[3759] Speed: 116.130910 samples/sec accuracy=40.554688 loss=2.663614 lr=0.042906 Epoch[122] Batch [1249]/[3759] Speed: 118.079580 samples/sec accuracy=40.488750 loss=2.666114 lr=0.042894 Epoch[122] Batch [1299]/[3759] Speed: 118.606040 samples/sec accuracy=40.495192 loss=2.669286 lr=0.042881 Epoch[122] Batch [1349]/[3759] Speed: 117.391933 samples/sec accuracy=40.460648 loss=2.670495 lr=0.042868 Epoch[122] Batch [1399]/[3759] Speed: 116.659248 samples/sec accuracy=40.481027 loss=2.670499 lr=0.042855 Epoch[122] Batch [1449]/[3759] Speed: 117.611384 samples/sec accuracy=40.477371 loss=2.671530 lr=0.042842 Epoch[122] Batch [1499]/[3759] Speed: 117.171796 samples/sec accuracy=40.484375 loss=2.671272 lr=0.042830 Epoch[122] Batch [1549]/[3759] Speed: 117.641303 samples/sec accuracy=40.513105 loss=2.670608 lr=0.042817 Epoch[122] Batch [1599]/[3759] Speed: 117.902655 samples/sec accuracy=40.493164 loss=2.672801 lr=0.042804 Epoch[122] Batch [1649]/[3759] Speed: 117.227412 samples/sec accuracy=40.512311 loss=2.672720 lr=0.042791 Epoch[122] Batch [1699]/[3759] Speed: 117.927365 samples/sec accuracy=40.508272 loss=2.673372 lr=0.042779 Epoch[122] Batch [1749]/[3759] Speed: 116.761439 samples/sec accuracy=40.486607 loss=2.673395 lr=0.042766 Epoch[122] Batch [1799]/[3759] Speed: 117.513265 samples/sec accuracy=40.489583 loss=2.673937 lr=0.042753 Epoch[122] Batch [1849]/[3759] Speed: 117.088171 samples/sec accuracy=40.476351 loss=2.675194 lr=0.042740 Epoch[122] Batch [1899]/[3759] Speed: 117.413182 samples/sec accuracy=40.481908 loss=2.674457 lr=0.042728 Epoch[122] Batch [1949]/[3759] Speed: 118.774031 samples/sec accuracy=40.467147 loss=2.675073 lr=0.042715 Epoch[122] Batch [1999]/[3759] Speed: 117.606046 samples/sec accuracy=40.422656 loss=2.676354 lr=0.042702 Epoch[122] Batch [2049]/[3759] Speed: 117.304682 samples/sec accuracy=40.391768 loss=2.677384 lr=0.042689 Epoch[122] Batch [2099]/[3759] Speed: 117.001119 samples/sec accuracy=40.378720 loss=2.678364 lr=0.042677 Epoch[122] Batch [2149]/[3759] Speed: 116.285993 samples/sec accuracy=40.365552 loss=2.679797 lr=0.042664 Epoch[122] Batch [2199]/[3759] Speed: 117.324602 samples/sec accuracy=40.382812 loss=2.679422 lr=0.042651 Epoch[122] Batch [2249]/[3759] Speed: 117.218319 samples/sec accuracy=40.381250 loss=2.678488 lr=0.042638 Epoch[122] Batch [2299]/[3759] Speed: 117.244699 samples/sec accuracy=40.378397 loss=2.678337 lr=0.042626 Epoch[122] Batch [2349]/[3759] Speed: 116.824792 samples/sec accuracy=40.351729 loss=2.678905 lr=0.042613 Epoch[122] Batch [2399]/[3759] Speed: 118.045605 samples/sec accuracy=40.349609 loss=2.678587 lr=0.042600 Epoch[122] Batch [2449]/[3759] Speed: 117.899746 samples/sec accuracy=40.336097 loss=2.679273 lr=0.042587 Epoch[122] Batch [2499]/[3759] Speed: 115.879178 samples/sec accuracy=40.336875 loss=2.678591 lr=0.042575 Epoch[122] Batch [2549]/[3759] Speed: 116.630823 samples/sec accuracy=40.329657 loss=2.678467 lr=0.042562 Epoch[122] Batch [2599]/[3759] Speed: 117.394613 samples/sec accuracy=40.304087 loss=2.679485 lr=0.042549 Epoch[122] Batch [2649]/[3759] Speed: 117.615953 samples/sec accuracy=40.304835 loss=2.679469 lr=0.042536 Epoch[122] Batch [2699]/[3759] Speed: 117.701538 samples/sec accuracy=40.266204 loss=2.681244 lr=0.042524 Epoch[122] Batch [2749]/[3759] Speed: 116.469112 samples/sec accuracy=40.278409 loss=2.681349 lr=0.042511 Epoch[122] Batch [2799]/[3759] Speed: 117.270860 samples/sec accuracy=40.265067 loss=2.682505 lr=0.042498 Epoch[122] Batch [2849]/[3759] Speed: 116.393483 samples/sec accuracy=40.277412 loss=2.682169 lr=0.042485 Epoch[122] Batch [2899]/[3759] Speed: 117.339679 samples/sec accuracy=40.269397 loss=2.682722 lr=0.042473 Epoch[122] Batch [2949]/[3759] Speed: 117.255066 samples/sec accuracy=40.291843 loss=2.681239 lr=0.042460 Epoch[122] Batch [2999]/[3759] Speed: 116.599939 samples/sec accuracy=40.294792 loss=2.681414 lr=0.042447 Epoch[122] Batch [3049]/[3759] Speed: 117.438347 samples/sec accuracy=40.279713 loss=2.681542 lr=0.042434 Epoch[122] Batch [3099]/[3759] Speed: 117.553201 samples/sec accuracy=40.271169 loss=2.682021 lr=0.042422 Epoch[122] Batch [3149]/[3759] Speed: 117.316949 samples/sec accuracy=40.289683 loss=2.681624 lr=0.042409 Epoch[122] Batch [3199]/[3759] Speed: 116.981124 samples/sec accuracy=40.311523 loss=2.681085 lr=0.042396 Epoch[122] Batch [3249]/[3759] Speed: 117.609587 samples/sec accuracy=40.324038 loss=2.681093 lr=0.042383 Epoch[122] Batch [3299]/[3759] Speed: 117.285370 samples/sec accuracy=40.343277 loss=2.680358 lr=0.042371 Epoch[122] Batch [3349]/[3759] Speed: 117.660859 samples/sec accuracy=40.334422 loss=2.681126 lr=0.042358 Epoch[122] Batch [3399]/[3759] Speed: 117.308085 samples/sec accuracy=40.315717 loss=2.681971 lr=0.042345 Epoch[122] Batch [3449]/[3759] Speed: 117.557497 samples/sec accuracy=40.314764 loss=2.682588 lr=0.042332 Epoch[122] Batch [3499]/[3759] Speed: 117.341593 samples/sec accuracy=40.315179 loss=2.681990 lr=0.042320 Epoch[122] Batch [3549]/[3759] Speed: 117.633274 samples/sec accuracy=40.312500 loss=2.682205 lr=0.042307 Epoch[122] Batch [3599]/[3759] Speed: 115.718446 samples/sec accuracy=40.305556 loss=2.682502 lr=0.042294 Epoch[122] Batch [3649]/[3759] Speed: 118.000803 samples/sec accuracy=40.316353 loss=2.682276 lr=0.042281 Epoch[122] Batch [3699]/[3759] Speed: 116.954880 samples/sec accuracy=40.315878 loss=2.682319 lr=0.042269 Epoch[122] Batch [3749]/[3759] Speed: 120.431183 samples/sec accuracy=40.333333 loss=2.681746 lr=0.042256 Batch [0049]/[0303]: acc-top1=42.437500 acc-top5=67.062500 Batch [0099]/[0303]: acc-top1=39.515625 acc-top5=65.203125 Batch [0149]/[0303]: acc-top1=41.447917 acc-top5=66.781250 Batch [0199]/[0303]: acc-top1=43.648438 acc-top5=68.210938 Batch [0249]/[0303]: acc-top1=42.912500 acc-top5=68.300000 Batch [0299]/[0303]: acc-top1=42.229167 acc-top5=68.156250 [Epoch 122] training: accuracy=40.323640 loss=2.682148 [Epoch 122] speed: 116 samples/sec time cost: 2176.917795 [Epoch 122] validation: acc-top1=42.264851 acc-top5=68.187913 loss=2.643585 Epoch[123] Batch [0049]/[3760] Speed: 86.814424 samples/sec accuracy=39.812500 loss=2.629746 lr=0.042241 Epoch[123] Batch [0099]/[3760] Speed: 117.463277 samples/sec accuracy=40.437500 loss=2.634502 lr=0.042228 Epoch[123] Batch [0149]/[3760] Speed: 117.623132 samples/sec accuracy=40.718750 loss=2.637835 lr=0.042215 Epoch[123] Batch [0199]/[3760] Speed: 117.753047 samples/sec accuracy=40.578125 loss=2.649602 lr=0.042203 Epoch[123] Batch [0249]/[3760] Speed: 117.350431 samples/sec accuracy=40.625000 loss=2.652215 lr=0.042190 Epoch[123] Batch [0299]/[3760] Speed: 117.134512 samples/sec accuracy=40.755208 loss=2.654445 lr=0.042177 Epoch[123] Batch [0349]/[3760] Speed: 117.287403 samples/sec accuracy=40.571429 loss=2.654366 lr=0.042164 Epoch[123] Batch [0399]/[3760] Speed: 117.471215 samples/sec accuracy=40.535156 loss=2.651521 lr=0.042152 Epoch[123] Batch [0449]/[3760] 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Epoch[123] Batch [3749]/[3760] Speed: 120.745730 samples/sec accuracy=40.500417 loss=2.665432 lr=0.041299 Batch [0049]/[0303]: acc-top1=40.312500 acc-top5=66.093750 Batch [0099]/[0303]: acc-top1=37.750000 acc-top5=64.156250 Batch [0149]/[0303]: acc-top1=39.916667 acc-top5=65.791667 Batch [0199]/[0303]: acc-top1=42.718750 acc-top5=67.960938 Batch [0249]/[0303]: acc-top1=42.187500 acc-top5=67.818750 Batch [0299]/[0303]: acc-top1=41.484375 acc-top5=67.776042 [Epoch 123] training: accuracy=40.497839 loss=2.665745 [Epoch 123] speed: 116 samples/sec time cost: 2174.429915 [Epoch 123] validation: acc-top1=41.403672 acc-top5=67.749587 loss=2.689133 Epoch[124] Batch [0049]/[3760] Speed: 86.831120 samples/sec accuracy=41.531250 loss=2.621807 lr=0.041284 Epoch[124] Batch [0099]/[3760] Speed: 118.254134 samples/sec accuracy=41.406250 loss=2.627155 lr=0.041271 Epoch[124] Batch [0149]/[3760] Speed: 117.256791 samples/sec accuracy=41.270833 loss=2.619169 lr=0.041259 Epoch[124] Batch [0199]/[3760] 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accuracy=40.776563 loss=2.650918 lr=0.040536 Epoch[124] Batch [3049]/[3760] Speed: 117.040032 samples/sec accuracy=40.772029 loss=2.651224 lr=0.040523 Epoch[124] Batch [3099]/[3760] Speed: 117.850527 samples/sec accuracy=40.763105 loss=2.652112 lr=0.040511 Epoch[124] Batch [3149]/[3760] Speed: 117.001158 samples/sec accuracy=40.751488 loss=2.653006 lr=0.040498 Epoch[124] Batch [3199]/[3760] Speed: 117.038616 samples/sec accuracy=40.764160 loss=2.652930 lr=0.040485 Epoch[124] Batch [3249]/[3760] Speed: 117.282325 samples/sec accuracy=40.782212 loss=2.651781 lr=0.040473 Epoch[124] Batch [3299]/[3760] Speed: 117.513612 samples/sec accuracy=40.793087 loss=2.651932 lr=0.040460 Epoch[124] Batch [3349]/[3760] Speed: 117.050600 samples/sec accuracy=40.817164 loss=2.650921 lr=0.040447 Epoch[124] Batch [3399]/[3760] Speed: 117.356257 samples/sec accuracy=40.824449 loss=2.650738 lr=0.040435 Epoch[124] Batch [3449]/[3760] Speed: 117.675606 samples/sec accuracy=40.829710 loss=2.650548 lr=0.040422 Epoch[124] Batch [3499]/[3760] Speed: 117.401637 samples/sec accuracy=40.833929 loss=2.650181 lr=0.040409 Epoch[124] Batch [3549]/[3760] Speed: 115.714622 samples/sec accuracy=40.827905 loss=2.650812 lr=0.040397 Epoch[124] Batch [3599]/[3760] Speed: 118.026502 samples/sec accuracy=40.813802 loss=2.651328 lr=0.040384 Epoch[124] Batch [3649]/[3760] Speed: 116.901738 samples/sec accuracy=40.825771 loss=2.650937 lr=0.040371 Epoch[124] Batch [3699]/[3760] Speed: 117.696319 samples/sec accuracy=40.846284 loss=2.650361 lr=0.040359 Epoch[124] Batch [3749]/[3760] Speed: 120.445811 samples/sec accuracy=40.854167 loss=2.650247 lr=0.040346 Batch [0049]/[0303]: acc-top1=40.093750 acc-top5=64.281250 Batch [0099]/[0303]: acc-top1=36.843750 acc-top5=62.671875 Batch [0149]/[0303]: acc-top1=39.906250 acc-top5=64.802083 Batch [0199]/[0303]: acc-top1=41.867188 acc-top5=66.695312 Batch [0249]/[0303]: acc-top1=41.168750 acc-top5=66.800000 Batch [0299]/[0303]: acc-top1=40.656250 acc-top5=67.078125 [Epoch 124] training: accuracy=40.848155 loss=2.650472 [Epoch 124] speed: 116 samples/sec time cost: 2179.382046 [Epoch 124] validation: acc-top1=40.645627 acc-top5=67.156559 loss=2.739740 Epoch[125] Batch [0049]/[3759] Speed: 87.727677 samples/sec accuracy=41.281250 loss=2.632003 lr=0.040331 Epoch[125] Batch [0099]/[3759] Speed: 116.753509 samples/sec accuracy=41.109375 loss=2.621466 lr=0.040318 Epoch[125] Batch [0149]/[3759] Speed: 116.781160 samples/sec accuracy=41.177083 loss=2.615713 lr=0.040306 Epoch[125] Batch [0199]/[3759] Speed: 117.418124 samples/sec accuracy=41.125000 loss=2.621105 lr=0.040293 Epoch[125] Batch [0249]/[3759] Speed: 116.812097 samples/sec accuracy=40.906250 loss=2.629476 lr=0.040280 Epoch[125] Batch [0299]/[3759] Speed: 117.489591 samples/sec accuracy=40.656250 loss=2.640938 lr=0.040268 Epoch[125] Batch [0349]/[3759] Speed: 116.692298 samples/sec accuracy=40.955357 loss=2.628010 lr=0.040255 Epoch[125] Batch [0399]/[3759] Speed: 117.623595 samples/sec 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accuracy=41.102841 loss=2.642663 lr=0.039648 Epoch[125] Batch [2799]/[3759] Speed: 117.071331 samples/sec accuracy=41.082589 loss=2.642916 lr=0.039636 Epoch[125] Batch [2849]/[3759] Speed: 117.580935 samples/sec accuracy=41.089364 loss=2.642974 lr=0.039623 Epoch[125] Batch [2899]/[3759] Speed: 117.367771 samples/sec accuracy=41.088901 loss=2.642667 lr=0.039611 Epoch[125] Batch [2949]/[3759] Speed: 115.811996 samples/sec accuracy=41.074682 loss=2.643272 lr=0.039598 Epoch[125] Batch [2999]/[3759] Speed: 117.354506 samples/sec accuracy=41.056771 loss=2.644240 lr=0.039585 Epoch[125] Batch [3049]/[3759] Speed: 116.967945 samples/sec accuracy=41.050717 loss=2.644217 lr=0.039573 Epoch[125] Batch [3099]/[3759] Speed: 117.122016 samples/sec accuracy=41.071069 loss=2.644086 lr=0.039560 Epoch[125] Batch [3149]/[3759] Speed: 117.158924 samples/sec accuracy=41.090278 loss=2.642851 lr=0.039548 Epoch[125] Batch [3199]/[3759] Speed: 117.649084 samples/sec accuracy=41.077148 loss=2.643878 lr=0.039535 Epoch[125] Batch [3249]/[3759] Speed: 117.361128 samples/sec accuracy=41.050962 loss=2.645755 lr=0.039522 Epoch[125] Batch [3299]/[3759] Speed: 116.957596 samples/sec accuracy=41.046402 loss=2.645828 lr=0.039510 Epoch[125] Batch [3349]/[3759] Speed: 117.011809 samples/sec accuracy=41.047108 loss=2.645944 lr=0.039497 Epoch[125] Batch [3399]/[3759] Speed: 117.475899 samples/sec accuracy=41.021599 loss=2.647335 lr=0.039485 Epoch[125] Batch [3449]/[3759] Speed: 117.322551 samples/sec accuracy=41.023098 loss=2.646970 lr=0.039472 Epoch[125] Batch [3499]/[3759] Speed: 117.407880 samples/sec accuracy=41.031250 loss=2.646348 lr=0.039459 Epoch[125] Batch [3549]/[3759] Speed: 117.306440 samples/sec accuracy=41.022887 loss=2.646321 lr=0.039447 Epoch[125] Batch [3599]/[3759] Speed: 117.544817 samples/sec accuracy=41.015625 loss=2.646413 lr=0.039434 Epoch[125] Batch [3649]/[3759] Speed: 118.154880 samples/sec accuracy=41.046233 loss=2.644648 lr=0.039421 Epoch[125] Batch [3699]/[3759] Speed: 117.477789 samples/sec accuracy=41.059966 loss=2.644390 lr=0.039409 Epoch[125] Batch [3749]/[3759] Speed: 120.535351 samples/sec accuracy=41.057917 loss=2.644480 lr=0.039396 Batch [0049]/[0303]: acc-top1=43.281250 acc-top5=66.843750 Batch [0099]/[0303]: acc-top1=39.312500 acc-top5=65.406250 Batch [0149]/[0303]: acc-top1=41.697917 acc-top5=67.041667 Batch [0199]/[0303]: acc-top1=44.351562 acc-top5=69.109375 Batch [0249]/[0303]: acc-top1=43.431250 acc-top5=68.662500 Batch [0299]/[0303]: acc-top1=42.697917 acc-top5=68.671875 [Epoch 125] training: accuracy=41.050229 loss=2.644645 [Epoch 125] speed: 116 samples/sec time cost: 2177.703343 [Epoch 125] validation: acc-top1=42.682550 acc-top5=68.693276 loss=2.670130 Epoch[126] Batch [0049]/[3760] Speed: 88.307944 samples/sec accuracy=41.968750 loss=2.632854 lr=0.039381 Epoch[126] Batch [0099]/[3760] Speed: 117.377914 samples/sec accuracy=41.921875 loss=2.630087 lr=0.039369 Epoch[126] Batch [0149]/[3760] Speed: 116.913604 samples/sec accuracy=41.927083 loss=2.613030 lr=0.039356 Epoch[126] Batch [0199]/[3760] Speed: 117.722177 samples/sec accuracy=41.765625 loss=2.612909 lr=0.039344 Epoch[126] Batch [0249]/[3760] Speed: 117.880088 samples/sec accuracy=41.850000 loss=2.602931 lr=0.039331 Epoch[126] Batch [0299]/[3760] Speed: 115.975249 samples/sec accuracy=41.947917 loss=2.596993 lr=0.039318 Epoch[126] Batch [0349]/[3760] Speed: 117.842330 samples/sec accuracy=42.022321 loss=2.590633 lr=0.039306 Epoch[126] Batch [0399]/[3760] Speed: 116.782129 samples/sec accuracy=42.058594 loss=2.592558 lr=0.039293 Epoch[126] Batch [0449]/[3760] Speed: 116.879149 samples/sec accuracy=42.041667 loss=2.593356 lr=0.039281 Epoch[126] Batch [0499]/[3760] Speed: 116.865505 samples/sec accuracy=41.846875 loss=2.603503 lr=0.039268 Epoch[126] Batch [0549]/[3760] Speed: 117.029540 samples/sec accuracy=41.735795 loss=2.609366 lr=0.039255 Epoch[126] Batch [0599]/[3760] Speed: 117.270994 samples/sec accuracy=41.736979 loss=2.611358 lr=0.039243 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accuracy=41.366250 loss=2.620992 lr=0.038765 Epoch[126] Batch [2549]/[3760] Speed: 116.255907 samples/sec accuracy=41.375000 loss=2.621426 lr=0.038752 Epoch[126] Batch [2599]/[3760] Speed: 117.849654 samples/sec accuracy=41.362380 loss=2.621387 lr=0.038740 Epoch[126] Batch [2649]/[3760] Speed: 117.204421 samples/sec accuracy=41.370873 loss=2.620905 lr=0.038727 Epoch[126] Batch [2699]/[3760] Speed: 116.695444 samples/sec accuracy=41.369792 loss=2.620771 lr=0.038714 Epoch[126] Batch [2749]/[3760] Speed: 117.232840 samples/sec accuracy=41.388636 loss=2.620398 lr=0.038702 Epoch[126] Batch [2799]/[3760] Speed: 117.789017 samples/sec accuracy=41.390067 loss=2.619898 lr=0.038689 Epoch[126] Batch [2849]/[3760] Speed: 117.268553 samples/sec accuracy=41.385417 loss=2.619937 lr=0.038677 Epoch[126] Batch [2899]/[3760] Speed: 117.600803 samples/sec accuracy=41.380927 loss=2.620701 lr=0.038664 Epoch[126] Batch [2949]/[3760] Speed: 117.419172 samples/sec accuracy=41.382415 loss=2.621420 lr=0.038652 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Batch [0299]/[0303]: acc-top1=41.625000 acc-top5=68.031250 [Epoch 126] training: accuracy=41.247091 loss=2.627302 [Epoch 126] speed: 116 samples/sec time cost: 2176.736992 [Epoch 126] validation: acc-top1=41.640883 acc-top5=68.043523 loss=2.632012 Epoch[127] Batch [0049]/[3760] Speed: 86.809531 samples/sec accuracy=41.750000 loss=2.594165 lr=0.038436 Epoch[127] Batch [0099]/[3760] Speed: 117.616078 samples/sec accuracy=41.703125 loss=2.613103 lr=0.038423 Epoch[127] Batch [0149]/[3760] Speed: 117.741487 samples/sec accuracy=41.635417 loss=2.601956 lr=0.038411 Epoch[127] Batch [0199]/[3760] Speed: 117.684441 samples/sec accuracy=41.632812 loss=2.593392 lr=0.038398 Epoch[127] Batch [0249]/[3760] Speed: 116.787675 samples/sec accuracy=41.600000 loss=2.595514 lr=0.038385 Epoch[127] Batch [0299]/[3760] Speed: 117.216416 samples/sec accuracy=41.739583 loss=2.594377 lr=0.038373 Epoch[127] Batch [0349]/[3760] Speed: 117.101929 samples/sec accuracy=41.723214 loss=2.591125 lr=0.038360 Epoch[127] 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loss=2.613513 lr=0.037534 Epoch[127] Batch [3699]/[3760] Speed: 117.342592 samples/sec accuracy=41.523226 loss=2.613369 lr=0.037522 Epoch[127] Batch [3749]/[3760] Speed: 120.274259 samples/sec accuracy=41.513750 loss=2.613949 lr=0.037509 Batch [0049]/[0303]: acc-top1=43.593750 acc-top5=68.437500 Batch [0099]/[0303]: acc-top1=40.187500 acc-top5=66.171875 Batch [0149]/[0303]: acc-top1=41.125000 acc-top5=67.187500 Batch [0199]/[0303]: acc-top1=43.687500 acc-top5=68.890625 Batch [0249]/[0303]: acc-top1=43.093750 acc-top5=68.612500 Batch [0299]/[0303]: acc-top1=43.062500 acc-top5=68.953125 [Epoch 127] training: accuracy=41.512217 loss=2.613756 [Epoch 127] speed: 116 samples/sec time cost: 2175.046158 [Epoch 127] validation: acc-top1=43.012583 acc-top5=68.951114 loss=2.605731 Epoch[128] Batch [0049]/[3759] Speed: 86.167256 samples/sec accuracy=42.531250 loss=2.590353 lr=0.037494 Epoch[128] Batch [0099]/[3759] Speed: 117.486615 samples/sec accuracy=41.968750 loss=2.615700 lr=0.037482 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accuracy=41.960156 loss=2.593394 lr=0.037008 Epoch[128] Batch [2049]/[3759] Speed: 116.865875 samples/sec accuracy=41.991616 loss=2.592225 lr=0.036996 Epoch[128] Batch [2099]/[3759] Speed: 117.611913 samples/sec accuracy=42.002976 loss=2.592027 lr=0.036983 Epoch[128] Batch [2149]/[3759] Speed: 118.219137 samples/sec accuracy=41.952035 loss=2.594018 lr=0.036971 Epoch[128] Batch [2199]/[3759] Speed: 117.834549 samples/sec accuracy=41.987216 loss=2.592119 lr=0.036958 Epoch[128] Batch [2249]/[3759] Speed: 117.591627 samples/sec accuracy=42.019444 loss=2.592265 lr=0.036946 Epoch[128] Batch [2299]/[3759] Speed: 117.793732 samples/sec accuracy=42.015625 loss=2.593673 lr=0.036933 Epoch[128] Batch [2349]/[3759] Speed: 117.515149 samples/sec accuracy=42.019282 loss=2.593319 lr=0.036921 Epoch[128] Batch [2399]/[3759] Speed: 118.033963 samples/sec accuracy=41.975260 loss=2.593787 lr=0.036908 Epoch[128] Batch [2449]/[3759] Speed: 116.946973 samples/sec accuracy=41.987245 loss=2.593431 lr=0.036896 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loss=2.597122 lr=0.036660 Epoch[128] Batch [3449]/[3759] Speed: 117.942683 samples/sec accuracy=41.937953 loss=2.597099 lr=0.036647 Epoch[128] Batch [3499]/[3759] Speed: 117.641761 samples/sec accuracy=41.948661 loss=2.597582 lr=0.036635 Epoch[128] Batch [3549]/[3759] Speed: 118.008745 samples/sec accuracy=41.962148 loss=2.597197 lr=0.036622 Epoch[128] Batch [3599]/[3759] Speed: 117.688465 samples/sec accuracy=41.976128 loss=2.596469 lr=0.036610 Epoch[128] Batch [3649]/[3759] Speed: 117.447822 samples/sec accuracy=41.963613 loss=2.596349 lr=0.036597 Epoch[128] Batch [3699]/[3759] Speed: 117.718042 samples/sec accuracy=41.972128 loss=2.595632 lr=0.036585 Epoch[128] Batch [3749]/[3759] Speed: 120.440999 samples/sec accuracy=41.962917 loss=2.596235 lr=0.036573 Batch [0049]/[0303]: acc-top1=41.250000 acc-top5=67.000000 Batch [0099]/[0303]: acc-top1=39.765625 acc-top5=66.234375 Batch [0149]/[0303]: acc-top1=41.541667 acc-top5=67.197917 Batch [0199]/[0303]: acc-top1=44.453125 acc-top5=69.460938 Batch [0249]/[0303]: acc-top1=43.587500 acc-top5=69.093750 Batch [0299]/[0303]: acc-top1=42.817708 acc-top5=68.979167 [Epoch 128] training: accuracy=41.969689 loss=2.596054 [Epoch 128] speed: 116 samples/sec time cost: 2174.067894 [Epoch 128] validation: acc-top1=42.677393 acc-top5=68.951114 loss=2.654515 Epoch[129] Batch [0049]/[3760] Speed: 87.626008 samples/sec accuracy=44.218750 loss=2.498345 lr=0.036558 Epoch[129] Batch [0099]/[3760] Speed: 116.038154 samples/sec accuracy=43.734375 loss=2.522326 lr=0.036546 Epoch[129] Batch [0149]/[3760] Speed: 118.100795 samples/sec accuracy=42.864583 loss=2.571569 lr=0.036533 Epoch[129] Batch [0199]/[3760] Speed: 117.526323 samples/sec accuracy=42.867188 loss=2.572160 lr=0.036521 Epoch[129] Batch [0249]/[3760] Speed: 117.678346 samples/sec accuracy=42.812500 loss=2.570125 lr=0.036508 Epoch[129] Batch [0299]/[3760] Speed: 117.709265 samples/sec accuracy=42.802083 loss=2.569637 lr=0.036496 Epoch[129] Batch [0349]/[3760] Speed: 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acc-top5=68.031250 Batch [0199]/[0303]: acc-top1=44.382812 acc-top5=69.562500 Batch [0249]/[0303]: acc-top1=43.662500 acc-top5=69.512500 Batch [0299]/[0303]: acc-top1=43.286458 acc-top5=69.447917 [Epoch 130] training: accuracy=42.362081 loss=2.571201 [Epoch 130] speed: 116 samples/sec time cost: 2175.312745 [Epoch 130] validation: acc-top1=43.327145 acc-top5=69.446163 loss=2.642174 Epoch[131] Batch [0049]/[3760] Speed: 89.120803 samples/sec accuracy=42.281250 loss=2.513938 lr=0.034700 Epoch[131] Batch [0099]/[3760] Speed: 117.742526 samples/sec accuracy=42.437500 loss=2.543289 lr=0.034688 Epoch[131] Batch [0149]/[3760] Speed: 117.455965 samples/sec accuracy=42.281250 loss=2.538945 lr=0.034676 Epoch[131] Batch [0199]/[3760] Speed: 117.594581 samples/sec accuracy=42.429688 loss=2.529445 lr=0.034664 Epoch[131] Batch [0249]/[3760] Speed: 117.348112 samples/sec accuracy=42.368750 loss=2.533412 lr=0.034651 Epoch[131] Batch [0299]/[3760] Speed: 117.110354 samples/sec accuracy=42.395833 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accuracy=42.795000 loss=2.542860 lr=0.034406 Epoch[131] Batch [1299]/[3760] Speed: 117.641524 samples/sec accuracy=42.759615 loss=2.545555 lr=0.034394 Epoch[131] Batch [1349]/[3760] Speed: 117.953707 samples/sec accuracy=42.739583 loss=2.544421 lr=0.034381 Epoch[131] Batch [1399]/[3760] Speed: 117.547273 samples/sec accuracy=42.691964 loss=2.545112 lr=0.034369 Epoch[131] Batch [1449]/[3760] Speed: 117.606775 samples/sec accuracy=42.713362 loss=2.544874 lr=0.034357 Epoch[131] Batch [1499]/[3760] Speed: 117.385778 samples/sec accuracy=42.659375 loss=2.546777 lr=0.034345 Epoch[131] Batch [1549]/[3760] Speed: 117.190623 samples/sec accuracy=42.698589 loss=2.547776 lr=0.034332 Epoch[131] Batch [1599]/[3760] Speed: 117.850290 samples/sec accuracy=42.710938 loss=2.546793 lr=0.034320 Epoch[131] Batch [1649]/[3760] Speed: 117.377134 samples/sec accuracy=42.705492 loss=2.546537 lr=0.034308 Epoch[131] Batch [1699]/[3760] Speed: 117.173148 samples/sec accuracy=42.751838 loss=2.547266 lr=0.034296 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loss=2.553542 lr=0.034063 Epoch[131] Batch [2699]/[3760] Speed: 117.750282 samples/sec accuracy=42.657986 loss=2.553500 lr=0.034051 Epoch[131] Batch [2749]/[3760] Speed: 117.617102 samples/sec accuracy=42.667614 loss=2.553286 lr=0.034039 Epoch[131] Batch [2799]/[3760] Speed: 116.973070 samples/sec accuracy=42.652902 loss=2.554189 lr=0.034027 Epoch[131] Batch [2849]/[3760] Speed: 117.668304 samples/sec accuracy=42.617873 loss=2.555280 lr=0.034014 Epoch[131] Batch [2899]/[3760] Speed: 115.739841 samples/sec accuracy=42.643858 loss=2.554665 lr=0.034002 Epoch[131] Batch [2949]/[3760] Speed: 118.045057 samples/sec accuracy=42.657839 loss=2.554026 lr=0.033990 Epoch[131] Batch [2999]/[3760] Speed: 117.357208 samples/sec accuracy=42.655729 loss=2.553836 lr=0.033978 Epoch[131] Batch [3049]/[3760] Speed: 117.073424 samples/sec accuracy=42.650102 loss=2.554379 lr=0.033966 Epoch[131] Batch [3099]/[3760] Speed: 117.408364 samples/sec accuracy=42.654738 loss=2.554901 lr=0.033953 Epoch[131] Batch 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accuracy=42.602431 loss=2.556770 lr=0.033831 Epoch[131] Batch [3649]/[3760] Speed: 116.987259 samples/sec accuracy=42.609589 loss=2.556698 lr=0.033819 Epoch[131] Batch [3699]/[3760] Speed: 117.374911 samples/sec accuracy=42.615709 loss=2.556689 lr=0.033807 Epoch[131] Batch [3749]/[3760] Speed: 120.580791 samples/sec accuracy=42.588333 loss=2.557478 lr=0.033795 Batch [0049]/[0303]: acc-top1=41.750000 acc-top5=65.343750 Batch [0099]/[0303]: acc-top1=40.078125 acc-top5=65.156250 Batch [0149]/[0303]: acc-top1=41.968750 acc-top5=66.739583 Batch [0199]/[0303]: acc-top1=44.406250 acc-top5=68.718750 Batch [0249]/[0303]: acc-top1=43.856250 acc-top5=68.743750 Batch [0299]/[0303]: acc-top1=43.229167 acc-top5=68.640625 [Epoch 131] training: accuracy=42.593085 loss=2.557461 [Epoch 131] speed: 116 samples/sec time cost: 2175.441133 [Epoch 131] validation: acc-top1=43.224010 acc-top5=68.646865 loss=2.615808 Epoch[132] Batch [0049]/[3760] Speed: 86.914645 samples/sec accuracy=43.062500 loss=2.523072 lr=0.033780 Epoch[132] Batch [0099]/[3760] Speed: 117.705069 samples/sec accuracy=42.484375 loss=2.517225 lr=0.033768 Epoch[132] Batch [0149]/[3760] Speed: 117.880051 samples/sec accuracy=42.291667 loss=2.531677 lr=0.033756 Epoch[132] Batch [0199]/[3760] Speed: 117.462767 samples/sec accuracy=42.664062 loss=2.519156 lr=0.033743 Epoch[132] Batch [0249]/[3760] Speed: 117.595644 samples/sec accuracy=42.856250 loss=2.514193 lr=0.033731 Epoch[132] Batch [0299]/[3760] Speed: 115.212299 samples/sec accuracy=42.927083 loss=2.518189 lr=0.033719 Epoch[132] Batch [0349]/[3760] Speed: 117.423457 samples/sec accuracy=43.035714 loss=2.521388 lr=0.033707 Epoch[132] Batch [0399]/[3760] Speed: 117.120407 samples/sec accuracy=43.019531 loss=2.520857 lr=0.033695 Epoch[132] Batch [0449]/[3760] Speed: 117.995930 samples/sec accuracy=43.059028 loss=2.520097 lr=0.033682 Epoch[132] Batch [0499]/[3760] Speed: 117.035703 samples/sec accuracy=43.168750 loss=2.519818 lr=0.033670 Epoch[132] Batch [0549]/[3760] 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accuracy=42.868750 loss=2.536633 lr=0.033548 Epoch[132] Batch [1049]/[3760] Speed: 117.071641 samples/sec accuracy=42.857143 loss=2.533398 lr=0.033536 Epoch[132] Batch [1099]/[3760] Speed: 117.481047 samples/sec accuracy=42.884943 loss=2.534654 lr=0.033524 Epoch[132] Batch [1149]/[3760] Speed: 118.177682 samples/sec accuracy=42.927989 loss=2.533384 lr=0.033512 Epoch[132] Batch [1199]/[3760] Speed: 117.340200 samples/sec accuracy=42.920573 loss=2.534308 lr=0.033500 Epoch[132] Batch [1249]/[3760] Speed: 117.435927 samples/sec accuracy=42.938750 loss=2.535373 lr=0.033487 Epoch[132] Batch [1299]/[3760] Speed: 118.041498 samples/sec accuracy=42.885817 loss=2.537310 lr=0.033475 Epoch[132] Batch [1349]/[3760] Speed: 117.347114 samples/sec accuracy=42.875000 loss=2.537351 lr=0.033463 Epoch[132] Batch [1399]/[3760] Speed: 117.655618 samples/sec accuracy=42.892857 loss=2.534914 lr=0.033451 Epoch[132] Batch [1449]/[3760] Speed: 117.688348 samples/sec accuracy=42.891164 loss=2.535698 lr=0.033439 Epoch[132] Batch [1499]/[3760] Speed: 115.294139 samples/sec accuracy=42.881250 loss=2.537192 lr=0.033427 Epoch[132] Batch [1549]/[3760] Speed: 117.165436 samples/sec accuracy=42.869960 loss=2.537329 lr=0.033414 Epoch[132] Batch [1599]/[3760] Speed: 117.399811 samples/sec accuracy=42.895508 loss=2.536445 lr=0.033402 Epoch[132] Batch [1649]/[3760] Speed: 118.397067 samples/sec accuracy=42.924242 loss=2.535550 lr=0.033390 Epoch[132] Batch [1699]/[3760] Speed: 117.350502 samples/sec accuracy=42.909007 loss=2.535245 lr=0.033378 Epoch[132] Batch [1749]/[3760] Speed: 118.143058 samples/sec accuracy=42.917857 loss=2.535074 lr=0.033366 Epoch[132] Batch [1799]/[3760] Speed: 117.609363 samples/sec accuracy=42.928819 loss=2.534745 lr=0.033354 Epoch[132] Batch [1849]/[3760] Speed: 117.332621 samples/sec accuracy=42.928209 loss=2.534707 lr=0.033341 Epoch[132] Batch [1899]/[3760] Speed: 117.256378 samples/sec accuracy=42.899671 loss=2.536102 lr=0.033329 Epoch[132] Batch [1949]/[3760] Speed: 118.070557 samples/sec accuracy=42.864583 loss=2.537340 lr=0.033317 Epoch[132] Batch [1999]/[3760] Speed: 116.981953 samples/sec accuracy=42.835938 loss=2.538312 lr=0.033305 Epoch[132] Batch [2049]/[3760] Speed: 117.930523 samples/sec accuracy=42.809451 loss=2.539119 lr=0.033293 Epoch[132] Batch [2099]/[3760] Speed: 116.914455 samples/sec accuracy=42.831845 loss=2.539276 lr=0.033281 Epoch[132] Batch [2149]/[3760] Speed: 118.112625 samples/sec accuracy=42.856831 loss=2.537798 lr=0.033269 Epoch[132] Batch [2199]/[3760] Speed: 116.894637 samples/sec accuracy=42.877841 loss=2.538096 lr=0.033256 Epoch[132] Batch [2249]/[3760] Speed: 117.444716 samples/sec accuracy=42.863194 loss=2.538649 lr=0.033244 Epoch[132] Batch [2299]/[3760] Speed: 117.129479 samples/sec accuracy=42.862772 loss=2.540273 lr=0.033232 Epoch[132] Batch [2349]/[3760] Speed: 117.545623 samples/sec accuracy=42.870346 loss=2.539458 lr=0.033220 Epoch[132] Batch [2399]/[3760] Speed: 117.446914 samples/sec accuracy=42.887370 loss=2.537677 lr=0.033208 Epoch[132] Batch [2449]/[3760] Speed: 117.158761 samples/sec accuracy=42.878827 loss=2.538599 lr=0.033196 Epoch[132] Batch [2499]/[3760] Speed: 117.723075 samples/sec accuracy=42.870000 loss=2.538922 lr=0.033183 Epoch[132] Batch [2549]/[3760] Speed: 117.280022 samples/sec accuracy=42.868873 loss=2.539103 lr=0.033171 Epoch[132] Batch [2599]/[3760] Speed: 118.039075 samples/sec accuracy=42.861779 loss=2.538934 lr=0.033159 Epoch[132] Batch [2649]/[3760] Speed: 116.438174 samples/sec accuracy=42.839033 loss=2.539953 lr=0.033147 Epoch[132] Batch [2699]/[3760] Speed: 116.554172 samples/sec accuracy=42.824074 loss=2.540657 lr=0.033135 Epoch[132] Batch [2749]/[3760] Speed: 117.595261 samples/sec accuracy=42.832955 loss=2.540219 lr=0.033123 Epoch[132] Batch [2799]/[3760] Speed: 117.752584 samples/sec accuracy=42.821429 loss=2.541303 lr=0.033111 Epoch[132] Batch [2849]/[3760] Speed: 117.564021 samples/sec accuracy=42.810855 loss=2.542102 lr=0.033098 Epoch[132] Batch 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accuracy=42.843284 loss=2.543644 lr=0.032977 Epoch[132] Batch [3399]/[3760] Speed: 117.604703 samples/sec accuracy=42.865349 loss=2.543311 lr=0.032965 Epoch[132] Batch [3449]/[3760] Speed: 116.964549 samples/sec accuracy=42.880435 loss=2.542893 lr=0.032953 Epoch[132] Batch [3499]/[3760] Speed: 118.242659 samples/sec accuracy=42.864732 loss=2.543290 lr=0.032941 Epoch[132] Batch [3549]/[3760] Speed: 117.534572 samples/sec accuracy=42.856514 loss=2.543448 lr=0.032929 Epoch[132] Batch [3599]/[3760] Speed: 118.417687 samples/sec accuracy=42.861111 loss=2.543876 lr=0.032917 Epoch[132] Batch [3649]/[3760] Speed: 117.225436 samples/sec accuracy=42.840325 loss=2.544244 lr=0.032904 Epoch[132] Batch [3699]/[3760] Speed: 118.253229 samples/sec accuracy=42.829814 loss=2.545148 lr=0.032892 Epoch[132] Batch [3749]/[3760] Speed: 120.511580 samples/sec accuracy=42.820417 loss=2.545238 lr=0.032880 Batch [0049]/[0303]: acc-top1=44.812500 acc-top5=70.906250 Batch [0099]/[0303]: acc-top1=42.546875 acc-top5=68.796875 Batch [0149]/[0303]: acc-top1=44.114583 acc-top5=69.947917 Batch [0199]/[0303]: acc-top1=45.937500 acc-top5=71.195312 Batch [0249]/[0303]: acc-top1=45.050000 acc-top5=70.768750 Batch [0299]/[0303]: acc-top1=44.750000 acc-top5=70.651042 [Epoch 132] training: accuracy=42.824551 loss=2.545128 [Epoch 132] speed: 116 samples/sec time cost: 2174.101442 [Epoch 132] validation: acc-top1=44.698845 acc-top5=70.621906 loss=2.528124 Epoch[133] Batch [0049]/[3759] Speed: 88.111542 samples/sec accuracy=44.750000 loss=2.476629 lr=0.032866 Epoch[133] Batch [0099]/[3759] Speed: 117.589572 samples/sec accuracy=43.859375 loss=2.486362 lr=0.032854 Epoch[133] Batch [0149]/[3759] Speed: 117.426060 samples/sec accuracy=44.104167 loss=2.488271 lr=0.032841 Epoch[133] Batch [0199]/[3759] Speed: 117.453393 samples/sec accuracy=44.257812 loss=2.478672 lr=0.032829 Epoch[133] Batch [0249]/[3759] Speed: 117.115736 samples/sec accuracy=44.081250 loss=2.475355 lr=0.032817 Epoch[133] Batch 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Epoch[133] Batch [3599]/[3759] Speed: 117.333709 samples/sec accuracy=43.255208 loss=2.522529 lr=0.032008 Epoch[133] Batch [3649]/[3759] Speed: 117.719011 samples/sec accuracy=43.230308 loss=2.523812 lr=0.031996 Epoch[133] Batch [3699]/[3759] Speed: 117.444567 samples/sec accuracy=43.233108 loss=2.522973 lr=0.031984 Epoch[133] Batch [3749]/[3759] Speed: 121.290156 samples/sec accuracy=43.219167 loss=2.523589 lr=0.031972 Batch [0049]/[0303]: acc-top1=43.968750 acc-top5=68.906250 Batch [0099]/[0303]: acc-top1=40.703125 acc-top5=67.015625 Batch [0149]/[0303]: acc-top1=42.395833 acc-top5=67.968750 Batch [0199]/[0303]: acc-top1=44.398438 acc-top5=69.601562 Batch [0249]/[0303]: acc-top1=43.768750 acc-top5=69.068750 Batch [0299]/[0303]: acc-top1=43.005208 acc-top5=68.973958 [Epoch 133] training: accuracy=43.222516 loss=2.523503 [Epoch 133] speed: 116 samples/sec time cost: 2174.408598 [Epoch 133] validation: acc-top1=42.961015 acc-top5=68.956271 loss=2.698692 Epoch[134] Batch [0049]/[3760] 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loss=2.511048 lr=0.031514 Epoch[134] Batch [1949]/[3760] Speed: 117.177331 samples/sec accuracy=43.521635 loss=2.510726 lr=0.031502 Epoch[134] Batch [1999]/[3760] Speed: 117.502985 samples/sec accuracy=43.489844 loss=2.512138 lr=0.031490 Epoch[134] Batch [2049]/[3760] Speed: 115.507429 samples/sec accuracy=43.487805 loss=2.512130 lr=0.031478 Epoch[134] Batch [2099]/[3760] Speed: 117.294168 samples/sec accuracy=43.511905 loss=2.511054 lr=0.031466 Epoch[134] Batch [2149]/[3760] Speed: 117.325425 samples/sec accuracy=43.502907 loss=2.510663 lr=0.031454 Epoch[134] Batch [2199]/[3760] Speed: 117.292941 samples/sec accuracy=43.485085 loss=2.510844 lr=0.031442 Epoch[134] Batch [2249]/[3760] Speed: 117.599303 samples/sec accuracy=43.490972 loss=2.510624 lr=0.031430 Epoch[134] Batch [2299]/[3760] Speed: 116.647466 samples/sec accuracy=43.480978 loss=2.511053 lr=0.031418 Epoch[134] Batch [2349]/[3760] Speed: 117.672394 samples/sec accuracy=43.502660 loss=2.510737 lr=0.031406 Epoch[134] Batch 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accuracy=43.436404 loss=2.515568 lr=0.031286 Epoch[134] Batch [2899]/[3760] Speed: 117.377187 samples/sec accuracy=43.432651 loss=2.515428 lr=0.031274 Epoch[134] Batch [2949]/[3760] Speed: 117.738287 samples/sec accuracy=43.427966 loss=2.515539 lr=0.031262 Epoch[134] Batch [2999]/[3760] Speed: 117.594108 samples/sec accuracy=43.430208 loss=2.515186 lr=0.031250 Epoch[134] Batch [3049]/[3760] Speed: 117.647763 samples/sec accuracy=43.430840 loss=2.515011 lr=0.031238 Epoch[134] Batch [3099]/[3760] Speed: 117.743360 samples/sec accuracy=43.432460 loss=2.514925 lr=0.031227 Epoch[134] Batch [3149]/[3760] Speed: 117.216501 samples/sec accuracy=43.462302 loss=2.514307 lr=0.031215 Epoch[134] Batch [3199]/[3760] Speed: 118.379702 samples/sec accuracy=43.461914 loss=2.514165 lr=0.031203 Epoch[134] Batch [3249]/[3760] Speed: 115.790066 samples/sec accuracy=43.461538 loss=2.514058 lr=0.031191 Epoch[134] Batch [3299]/[3760] Speed: 118.340557 samples/sec accuracy=43.457386 loss=2.513789 lr=0.031179 Epoch[134] Batch [3349]/[3760] Speed: 117.506194 samples/sec accuracy=43.454757 loss=2.514383 lr=0.031167 Epoch[134] Batch [3399]/[3760] Speed: 117.892322 samples/sec accuracy=43.456801 loss=2.514368 lr=0.031155 Epoch[134] Batch [3449]/[3760] Speed: 117.140301 samples/sec accuracy=43.456522 loss=2.514672 lr=0.031143 Epoch[134] Batch [3499]/[3760] Speed: 117.067214 samples/sec accuracy=43.477679 loss=2.513680 lr=0.031131 Epoch[134] Batch [3549]/[3760] Speed: 117.226811 samples/sec accuracy=43.470511 loss=2.514031 lr=0.031119 Epoch[134] Batch [3599]/[3760] Speed: 117.550881 samples/sec accuracy=43.459201 loss=2.514248 lr=0.031107 Epoch[134] Batch [3649]/[3760] Speed: 117.054847 samples/sec accuracy=43.479880 loss=2.513650 lr=0.031095 Epoch[134] Batch [3699]/[3760] Speed: 117.413472 samples/sec accuracy=43.442990 loss=2.514644 lr=0.031083 Epoch[134] Batch [3749]/[3760] Speed: 120.831390 samples/sec accuracy=43.445417 loss=2.514472 lr=0.031071 Batch [0049]/[0303]: acc-top1=43.906250 acc-top5=69.062500 Batch [0099]/[0303]: acc-top1=41.328125 acc-top5=68.375000 Batch [0149]/[0303]: acc-top1=43.229167 acc-top5=69.541667 Batch [0199]/[0303]: acc-top1=46.101562 acc-top5=71.570312 Batch [0249]/[0303]: acc-top1=45.387500 acc-top5=71.331250 Batch [0299]/[0303]: acc-top1=44.927083 acc-top5=71.369792 [Epoch 134] training: accuracy=43.442487 loss=2.514268 [Epoch 134] speed: 116 samples/sec time cost: 2175.409799 [Epoch 134] validation: acc-top1=44.884488 acc-top5=71.318069 loss=2.496016 Epoch[135] Batch [0049]/[3760] Speed: 87.803374 samples/sec accuracy=44.000000 loss=2.512243 lr=0.031057 Epoch[135] Batch [0099]/[3760] Speed: 117.215591 samples/sec accuracy=44.656250 loss=2.468447 lr=0.031045 Epoch[135] Batch [0149]/[3760] Speed: 117.545586 samples/sec accuracy=44.645833 loss=2.472719 lr=0.031033 Epoch[135] Batch [0199]/[3760] Speed: 117.425605 samples/sec accuracy=44.992188 loss=2.461049 lr=0.031021 Epoch[135] Batch [0249]/[3760] Speed: 117.316808 samples/sec 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Epoch[135] Batch [3099]/[3760] Speed: 117.059662 samples/sec accuracy=44.095766 loss=2.488257 lr=0.030331 Epoch[135] Batch [3149]/[3760] Speed: 117.220281 samples/sec accuracy=44.083333 loss=2.488830 lr=0.030319 Epoch[135] Batch [3199]/[3760] Speed: 117.375621 samples/sec accuracy=44.077637 loss=2.489190 lr=0.030307 Epoch[135] Batch [3249]/[3760] Speed: 117.319192 samples/sec accuracy=44.075962 loss=2.489297 lr=0.030296 Epoch[135] Batch [3299]/[3760] Speed: 117.851180 samples/sec accuracy=44.068655 loss=2.489719 lr=0.030284 Epoch[135] Batch [3349]/[3760] Speed: 117.003712 samples/sec accuracy=44.055970 loss=2.489952 lr=0.030272 Epoch[135] Batch [3399]/[3760] Speed: 117.429137 samples/sec accuracy=44.042279 loss=2.490318 lr=0.030260 Epoch[135] Batch [3449]/[3760] Speed: 117.428005 samples/sec accuracy=44.023551 loss=2.491446 lr=0.030248 Epoch[135] Batch [3499]/[3760] Speed: 117.309829 samples/sec accuracy=44.016518 loss=2.491575 lr=0.030236 Epoch[135] Batch [3549]/[3760] Speed: 117.172607 samples/sec accuracy=44.028169 loss=2.491314 lr=0.030225 Epoch[135] Batch [3599]/[3760] Speed: 117.324836 samples/sec accuracy=44.009549 loss=2.492195 lr=0.030213 Epoch[135] Batch [3649]/[3760] Speed: 117.301737 samples/sec accuracy=44.016695 loss=2.492566 lr=0.030201 Epoch[135] Batch [3699]/[3760] Speed: 117.747639 samples/sec accuracy=44.013514 loss=2.492854 lr=0.030189 Epoch[135] Batch [3749]/[3760] Speed: 120.138650 samples/sec accuracy=44.002083 loss=2.493101 lr=0.030177 Batch [0049]/[0303]: acc-top1=46.500000 acc-top5=71.062500 Batch [0099]/[0303]: acc-top1=42.828125 acc-top5=69.031250 Batch [0149]/[0303]: acc-top1=44.135417 acc-top5=69.906250 Batch [0199]/[0303]: acc-top1=46.953125 acc-top5=71.460938 Batch [0249]/[0303]: acc-top1=46.087500 acc-top5=71.200000 Batch [0299]/[0303]: acc-top1=45.781250 acc-top5=71.260417 [Epoch 135] training: accuracy=44.000166 loss=2.493088 [Epoch 135] speed: 116 samples/sec time cost: 2173.638128 [Epoch 135] validation: acc-top1=45.812706 acc-top5=71.323226 loss=2.441470 Epoch[136] Batch [0049]/[3759] Speed: 87.303092 samples/sec accuracy=45.843750 loss=2.405571 lr=0.030163 Epoch[136] Batch [0099]/[3759] Speed: 117.082329 samples/sec accuracy=44.859375 loss=2.461984 lr=0.030151 Epoch[136] Batch [0149]/[3759] Speed: 117.253856 samples/sec accuracy=45.093750 loss=2.450917 lr=0.030139 Epoch[136] Batch [0199]/[3759] Speed: 117.566682 samples/sec accuracy=44.765625 loss=2.447356 lr=0.030127 Epoch[136] Batch [0249]/[3759] Speed: 116.961249 samples/sec accuracy=44.512500 loss=2.457475 lr=0.030116 Epoch[136] Batch [0299]/[3759] Speed: 116.500514 samples/sec accuracy=44.505208 loss=2.449116 lr=0.030104 Epoch[136] Batch [0349]/[3759] Speed: 117.692110 samples/sec accuracy=44.625000 loss=2.443839 lr=0.030092 Epoch[136] Batch [0399]/[3759] Speed: 116.948467 samples/sec accuracy=44.578125 loss=2.444580 lr=0.030080 Epoch[136] Batch [0449]/[3759] Speed: 116.516874 samples/sec accuracy=44.729167 loss=2.443634 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accuracy=44.220982 loss=2.474246 lr=0.029844 Epoch[136] Batch [1449]/[3759] Speed: 117.831900 samples/sec accuracy=44.201509 loss=2.474220 lr=0.029832 Epoch[136] Batch [1499]/[3759] Speed: 117.833754 samples/sec accuracy=44.213542 loss=2.474455 lr=0.029820 Epoch[136] Batch [1549]/[3759] Speed: 117.755105 samples/sec accuracy=44.195565 loss=2.475522 lr=0.029808 Epoch[136] Batch [1599]/[3759] Speed: 116.564012 samples/sec accuracy=44.235352 loss=2.474717 lr=0.029797 Epoch[136] Batch [1649]/[3759] Speed: 116.165647 samples/sec accuracy=44.208333 loss=2.475448 lr=0.029785 Epoch[136] Batch [1699]/[3759] Speed: 117.362708 samples/sec accuracy=44.206801 loss=2.476375 lr=0.029773 Epoch[136] Batch [1749]/[3759] Speed: 117.573065 samples/sec accuracy=44.212500 loss=2.477038 lr=0.029761 Epoch[136] Batch [1799]/[3759] Speed: 116.651976 samples/sec accuracy=44.193576 loss=2.477380 lr=0.029749 Epoch[136] Batch [1849]/[3759] Speed: 117.745647 samples/sec accuracy=44.223818 loss=2.476886 lr=0.029738 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loss=2.482338 lr=0.029514 Epoch[136] Batch [2849]/[3759] Speed: 118.335348 samples/sec accuracy=44.071820 loss=2.482567 lr=0.029502 Epoch[136] Batch [2899]/[3759] Speed: 117.122568 samples/sec accuracy=44.062500 loss=2.482674 lr=0.029490 Epoch[136] Batch [2949]/[3759] Speed: 117.725795 samples/sec accuracy=44.055614 loss=2.483211 lr=0.029479 Epoch[136] Batch [2999]/[3759] Speed: 116.884434 samples/sec accuracy=44.066667 loss=2.483228 lr=0.029467 Epoch[136] Batch [3049]/[3759] Speed: 118.293005 samples/sec accuracy=44.031250 loss=2.484714 lr=0.029455 Epoch[136] Batch [3099]/[3759] Speed: 117.644159 samples/sec accuracy=44.023185 loss=2.485153 lr=0.029443 Epoch[136] Batch [3149]/[3759] Speed: 117.259413 samples/sec accuracy=44.037698 loss=2.484327 lr=0.029431 Epoch[136] Batch [3199]/[3759] Speed: 118.634166 samples/sec accuracy=44.051270 loss=2.483950 lr=0.029420 Epoch[136] Batch [3249]/[3759] Speed: 118.035420 samples/sec accuracy=44.039904 loss=2.484659 lr=0.029408 Epoch[136] Batch 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accuracy=44.022083 loss=2.485175 lr=0.029291 Batch [0049]/[0303]: acc-top1=42.562500 acc-top5=69.000000 Batch [0099]/[0303]: acc-top1=40.765625 acc-top5=67.609375 Batch [0149]/[0303]: acc-top1=43.302083 acc-top5=68.770833 Batch [0199]/[0303]: acc-top1=46.148438 acc-top5=70.578125 Batch [0249]/[0303]: acc-top1=45.900000 acc-top5=70.593750 Batch [0299]/[0303]: acc-top1=45.187500 acc-top5=70.661458 [Epoch 136] training: accuracy=44.018938 loss=2.485234 [Epoch 136] speed: 116 samples/sec time cost: 2174.724359 [Epoch 136] validation: acc-top1=45.183581 acc-top5=70.621906 loss=2.518225 Epoch[137] Batch [0049]/[3760] Speed: 87.548431 samples/sec accuracy=44.000000 loss=2.494285 lr=0.029277 Epoch[137] Batch [0099]/[3760] Speed: 116.936345 samples/sec accuracy=44.937500 loss=2.448550 lr=0.029265 Epoch[137] Batch [0149]/[3760] Speed: 117.598891 samples/sec accuracy=45.583333 loss=2.430589 lr=0.029253 Epoch[137] Batch [0199]/[3760] Speed: 117.280492 samples/sec accuracy=45.117188 loss=2.448730 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accuracy=44.503571 loss=2.465756 lr=0.028470 Epoch[137] Batch [3549]/[3760] Speed: 117.360522 samples/sec accuracy=44.489877 loss=2.466474 lr=0.028458 Epoch[137] Batch [3599]/[3760] Speed: 117.392156 samples/sec accuracy=44.487847 loss=2.466571 lr=0.028447 Epoch[137] Batch [3649]/[3760] Speed: 117.742999 samples/sec accuracy=44.500000 loss=2.466580 lr=0.028435 Epoch[137] Batch [3699]/[3760] Speed: 117.875777 samples/sec accuracy=44.504645 loss=2.466678 lr=0.028424 Epoch[137] Batch [3749]/[3760] Speed: 120.258581 samples/sec accuracy=44.490000 loss=2.467243 lr=0.028412 Batch [0049]/[0303]: acc-top1=46.125000 acc-top5=69.781250 Batch [0099]/[0303]: acc-top1=43.125000 acc-top5=68.984375 Batch [0149]/[0303]: acc-top1=44.781250 acc-top5=69.583333 Batch [0199]/[0303]: acc-top1=47.625000 acc-top5=71.585938 Batch [0249]/[0303]: acc-top1=46.693750 acc-top5=71.362500 Batch [0299]/[0303]: acc-top1=45.854167 acc-top5=71.515625 [Epoch 137] training: accuracy=44.497174 loss=2.466977 [Epoch 137] speed: 116 samples/sec time cost: 2174.794506 [Epoch 137] validation: acc-top1=45.776609 acc-top5=71.519183 loss=2.492379 Epoch[138] Batch [0049]/[3760] Speed: 87.175704 samples/sec accuracy=45.593750 loss=2.428923 lr=0.028398 Epoch[138] Batch [0099]/[3760] Speed: 116.248689 samples/sec accuracy=45.578125 loss=2.420728 lr=0.028386 Epoch[138] Batch [0149]/[3760] Speed: 116.837630 samples/sec accuracy=45.312500 loss=2.412772 lr=0.028375 Epoch[138] Batch [0199]/[3760] Speed: 116.399737 samples/sec accuracy=45.281250 loss=2.424414 lr=0.028363 Epoch[138] Batch [0249]/[3760] Speed: 117.488319 samples/sec accuracy=45.237500 loss=2.428561 lr=0.028351 Epoch[138] Batch [0299]/[3760] Speed: 117.660245 samples/sec accuracy=45.270833 loss=2.429803 lr=0.028340 Epoch[138] Batch [0349]/[3760] Speed: 117.273498 samples/sec accuracy=45.258929 loss=2.429529 lr=0.028328 Epoch[138] Batch [0399]/[3760] Speed: 117.322229 samples/sec accuracy=45.277344 loss=2.425108 lr=0.028317 Epoch[138] Batch [0449]/[3760] 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accuracy=44.984375 loss=2.438501 lr=0.028200 Epoch[138] Batch [0949]/[3760] Speed: 117.749051 samples/sec accuracy=44.955592 loss=2.438223 lr=0.028189 Epoch[138] Batch [0999]/[3760] Speed: 117.568383 samples/sec accuracy=44.965625 loss=2.439169 lr=0.028177 Epoch[138] Batch [1049]/[3760] Speed: 116.980731 samples/sec accuracy=44.909226 loss=2.441935 lr=0.028166 Epoch[138] Batch [1099]/[3760] Speed: 117.397427 samples/sec accuracy=44.911932 loss=2.442504 lr=0.028154 Epoch[138] Batch [1149]/[3760] Speed: 117.759843 samples/sec accuracy=44.975543 loss=2.441616 lr=0.028142 Epoch[138] Batch [1199]/[3760] Speed: 117.242314 samples/sec accuracy=45.019531 loss=2.440714 lr=0.028131 Epoch[138] Batch [1249]/[3760] Speed: 118.051480 samples/sec accuracy=45.012500 loss=2.440632 lr=0.028119 Epoch[138] Batch [1299]/[3760] Speed: 115.485080 samples/sec accuracy=45.000000 loss=2.442082 lr=0.028108 Epoch[138] Batch [1349]/[3760] Speed: 117.215903 samples/sec accuracy=44.918981 loss=2.445103 lr=0.028096 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loss=2.447210 lr=0.027876 Epoch[138] Batch [2349]/[3760] Speed: 117.474833 samples/sec accuracy=44.861702 loss=2.448396 lr=0.027864 Epoch[138] Batch [2399]/[3760] Speed: 117.677929 samples/sec accuracy=44.856120 loss=2.448377 lr=0.027853 Epoch[138] Batch [2449]/[3760] Speed: 116.837864 samples/sec accuracy=44.865434 loss=2.448513 lr=0.027841 Epoch[138] Batch [2499]/[3760] Speed: 116.009898 samples/sec accuracy=44.890000 loss=2.447802 lr=0.027830 Epoch[138] Batch [2549]/[3760] Speed: 117.877093 samples/sec accuracy=44.897672 loss=2.447295 lr=0.027818 Epoch[138] Batch [2599]/[3760] Speed: 117.927590 samples/sec accuracy=44.897837 loss=2.447671 lr=0.027807 Epoch[138] Batch [2649]/[3760] Speed: 117.440395 samples/sec accuracy=44.899175 loss=2.448366 lr=0.027795 Epoch[138] Batch [2699]/[3760] Speed: 117.665795 samples/sec accuracy=44.875000 loss=2.449251 lr=0.027784 Epoch[138] Batch [2749]/[3760] Speed: 117.062486 samples/sec accuracy=44.832386 loss=2.450671 lr=0.027772 Epoch[138] Batch 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accuracy=44.807212 loss=2.451918 lr=0.027657 Epoch[138] Batch [3299]/[3760] Speed: 117.606229 samples/sec accuracy=44.800189 loss=2.452378 lr=0.027645 Epoch[138] Batch [3349]/[3760] Speed: 117.335680 samples/sec accuracy=44.781716 loss=2.453535 lr=0.027633 Epoch[138] Batch [3399]/[3760] Speed: 117.509407 samples/sec accuracy=44.790901 loss=2.453663 lr=0.027622 Epoch[138] Batch [3449]/[3760] Speed: 117.433071 samples/sec accuracy=44.793478 loss=2.453570 lr=0.027610 Epoch[138] Batch [3499]/[3760] Speed: 117.540502 samples/sec accuracy=44.782589 loss=2.453453 lr=0.027599 Epoch[138] Batch [3549]/[3760] Speed: 118.641016 samples/sec accuracy=44.760123 loss=2.454049 lr=0.027587 Epoch[138] Batch [3599]/[3760] Speed: 117.756377 samples/sec accuracy=44.746528 loss=2.454668 lr=0.027576 Epoch[138] Batch [3649]/[3760] Speed: 118.201879 samples/sec accuracy=44.779538 loss=2.453767 lr=0.027564 Epoch[138] Batch [3699]/[3760] Speed: 115.407211 samples/sec accuracy=44.766047 loss=2.454702 lr=0.027553 Epoch[138] Batch [3749]/[3760] Speed: 120.412640 samples/sec accuracy=44.762083 loss=2.454479 lr=0.027541 Batch [0049]/[0303]: acc-top1=44.812500 acc-top5=68.468750 Batch [0099]/[0303]: acc-top1=41.250000 acc-top5=66.843750 Batch [0149]/[0303]: acc-top1=43.531250 acc-top5=68.479167 Batch [0199]/[0303]: acc-top1=46.515625 acc-top5=70.593750 Batch [0249]/[0303]: acc-top1=45.893750 acc-top5=70.550000 Batch [0299]/[0303]: acc-top1=45.338542 acc-top5=70.583333 [Epoch 138] training: accuracy=44.759807 loss=2.454676 [Epoch 138] speed: 116 samples/sec time cost: 2175.762215 [Epoch 138] validation: acc-top1=45.271246 acc-top5=70.565182 loss=2.512373 Epoch[139] Batch [0049]/[3759] Speed: 88.983366 samples/sec accuracy=46.500000 loss=2.368841 lr=0.027527 Epoch[139] Batch [0099]/[3759] Speed: 118.299492 samples/sec accuracy=45.640625 loss=2.391175 lr=0.027516 Epoch[139] Batch [0149]/[3759] Speed: 117.935961 samples/sec accuracy=45.989583 loss=2.391678 lr=0.027504 Epoch[139] Batch [0199]/[3759] 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Epoch[139] Batch [3499]/[3759] Speed: 116.982644 samples/sec accuracy=45.136161 loss=2.431981 lr=0.026736 Epoch[139] Batch [3549]/[3759] Speed: 117.332621 samples/sec accuracy=45.141285 loss=2.431521 lr=0.026725 Epoch[139] Batch [3599]/[3759] Speed: 117.757577 samples/sec accuracy=45.136719 loss=2.432144 lr=0.026713 Epoch[139] Batch [3649]/[3759] Speed: 117.501043 samples/sec accuracy=45.147260 loss=2.432015 lr=0.026702 Epoch[139] Batch [3699]/[3759] Speed: 117.732896 samples/sec accuracy=45.128801 loss=2.432896 lr=0.026690 Epoch[139] Batch [3749]/[3759] Speed: 120.408788 samples/sec accuracy=45.111250 loss=2.433676 lr=0.026679 Batch [0049]/[0303]: acc-top1=45.656250 acc-top5=70.437500 Batch [0099]/[0303]: acc-top1=43.531250 acc-top5=69.375000 Batch [0149]/[0303]: acc-top1=44.906250 acc-top5=70.270833 Batch [0199]/[0303]: acc-top1=47.484375 acc-top5=71.929688 Batch [0249]/[0303]: acc-top1=47.006250 acc-top5=71.750000 Batch [0299]/[0303]: acc-top1=46.411458 acc-top5=71.713542 [Epoch 139] training: accuracy=45.112148 loss=2.433632 [Epoch 139] speed: 117 samples/sec time cost: 2172.679609 [Epoch 139] validation: acc-top1=46.416048 acc-top5=71.684200 loss=2.473795 Epoch[140] Batch [0049]/[3760] Speed: 87.167664 samples/sec accuracy=45.750000 loss=2.385765 lr=0.026666 Epoch[140] Batch [0099]/[3760] Speed: 117.267445 samples/sec accuracy=45.640625 loss=2.389182 lr=0.026654 Epoch[140] Batch [0149]/[3760] Speed: 117.840831 samples/sec accuracy=45.416667 loss=2.407494 lr=0.026643 Epoch[140] Batch [0199]/[3760] Speed: 117.817419 samples/sec accuracy=45.070312 loss=2.416534 lr=0.026631 Epoch[140] Batch [0249]/[3760] Speed: 116.965546 samples/sec accuracy=45.406250 loss=2.413709 lr=0.026620 Epoch[140] Batch [0299]/[3760] Speed: 117.467732 samples/sec accuracy=45.432292 loss=2.413874 lr=0.026608 Epoch[140] Batch [0349]/[3760] Speed: 117.941416 samples/sec accuracy=45.477679 loss=2.419124 lr=0.026597 Epoch[140] Batch [0399]/[3760] Speed: 117.052664 samples/sec 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accuracy=45.415909 loss=2.419193 lr=0.026052 Epoch[140] Batch [2799]/[3760] Speed: 117.886698 samples/sec accuracy=45.409040 loss=2.418640 lr=0.026040 Epoch[140] Batch [2849]/[3760] Speed: 118.172798 samples/sec accuracy=45.394737 loss=2.419583 lr=0.026029 Epoch[140] Batch [2899]/[3760] Speed: 117.777731 samples/sec accuracy=45.402478 loss=2.418957 lr=0.026018 Epoch[140] Batch [2949]/[3760] Speed: 117.587027 samples/sec accuracy=45.381886 loss=2.420139 lr=0.026007 Epoch[140] Batch [2999]/[3760] Speed: 117.823809 samples/sec accuracy=45.377604 loss=2.420321 lr=0.025995 Epoch[140] Batch [3049]/[3760] Speed: 117.813811 samples/sec accuracy=45.370902 loss=2.420078 lr=0.025984 Epoch[140] Batch [3099]/[3760] Speed: 118.455134 samples/sec accuracy=45.389617 loss=2.420085 lr=0.025973 Epoch[140] Batch [3149]/[3760] Speed: 117.642144 samples/sec accuracy=45.413194 loss=2.419801 lr=0.025961 Epoch[140] Batch [3199]/[3760] Speed: 117.887985 samples/sec accuracy=45.393066 loss=2.420438 lr=0.025950 Epoch[140] Batch [3249]/[3760] Speed: 118.251873 samples/sec accuracy=45.402885 loss=2.420173 lr=0.025939 Epoch[140] Batch [3299]/[3760] Speed: 116.962207 samples/sec accuracy=45.378788 loss=2.420158 lr=0.025927 Epoch[140] Batch [3349]/[3760] Speed: 117.015552 samples/sec accuracy=45.401586 loss=2.419494 lr=0.025916 Epoch[140] Batch [3399]/[3760] Speed: 117.418053 samples/sec accuracy=45.405790 loss=2.419088 lr=0.025905 Epoch[140] Batch [3449]/[3760] Speed: 117.760934 samples/sec accuracy=45.398098 loss=2.419731 lr=0.025893 Epoch[140] Batch [3499]/[3760] Speed: 117.640455 samples/sec accuracy=45.375000 loss=2.420579 lr=0.025882 Epoch[140] Batch [3549]/[3760] Speed: 117.767746 samples/sec accuracy=45.388204 loss=2.420299 lr=0.025871 Epoch[140] Batch [3599]/[3760] Speed: 118.182527 samples/sec accuracy=45.401910 loss=2.419665 lr=0.025860 Epoch[140] Batch [3649]/[3760] Speed: 117.542726 samples/sec accuracy=45.390839 loss=2.419632 lr=0.025848 Epoch[140] Batch [3699]/[3760] Speed: 117.771781 samples/sec accuracy=45.399916 loss=2.419147 lr=0.025837 Epoch[140] Batch [3749]/[3760] Speed: 120.407550 samples/sec accuracy=45.380833 loss=2.419885 lr=0.025826 Batch [0049]/[0303]: acc-top1=46.593750 acc-top5=69.437500 Batch [0099]/[0303]: acc-top1=43.734375 acc-top5=69.343750 Batch [0149]/[0303]: acc-top1=45.375000 acc-top5=70.427083 Batch [0199]/[0303]: acc-top1=47.757812 acc-top5=72.015625 Batch [0249]/[0303]: acc-top1=47.125000 acc-top5=71.956250 Batch [0299]/[0303]: acc-top1=46.557292 acc-top5=72.020833 [Epoch 140] training: accuracy=45.386054 loss=2.419442 [Epoch 140] speed: 117 samples/sec time cost: 2173.786370 [Epoch 140] validation: acc-top1=46.606848 acc-top5=72.096741 loss=2.429477 Epoch[141] Batch [0049]/[3760] Speed: 88.942230 samples/sec accuracy=45.750000 loss=2.359158 lr=0.025812 Epoch[141] Batch [0099]/[3760] Speed: 116.828171 samples/sec accuracy=46.078125 loss=2.341738 lr=0.025801 Epoch[141] Batch [0149]/[3760] Speed: 117.540379 samples/sec 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accuracy=45.752500 loss=2.394602 lr=0.025261 Epoch[141] Batch [2549]/[3760] Speed: 115.505086 samples/sec accuracy=45.755515 loss=2.395956 lr=0.025250 Epoch[141] Batch [2599]/[3760] Speed: 117.831582 samples/sec accuracy=45.753606 loss=2.396114 lr=0.025239 Epoch[141] Batch [2649]/[3760] Speed: 117.457198 samples/sec accuracy=45.715802 loss=2.397898 lr=0.025227 Epoch[141] Batch [2699]/[3760] Speed: 117.842757 samples/sec accuracy=45.694444 loss=2.398877 lr=0.025216 Epoch[141] Batch [2749]/[3760] Speed: 118.075689 samples/sec accuracy=45.717614 loss=2.398845 lr=0.025205 Epoch[141] Batch [2799]/[3760] Speed: 117.148051 samples/sec accuracy=45.726562 loss=2.398938 lr=0.025194 Epoch[141] Batch [2849]/[3760] Speed: 118.243495 samples/sec accuracy=45.706689 loss=2.399753 lr=0.025183 Epoch[141] Batch [2899]/[3760] Speed: 117.712426 samples/sec accuracy=45.712823 loss=2.400265 lr=0.025171 Epoch[141] Batch [2949]/[3760] Speed: 117.083065 samples/sec accuracy=45.718220 loss=2.399859 lr=0.025160 Epoch[141] Batch [2999]/[3760] Speed: 116.979078 samples/sec accuracy=45.701042 loss=2.400402 lr=0.025149 Epoch[141] Batch [3049]/[3760] Speed: 117.916507 samples/sec accuracy=45.679816 loss=2.400901 lr=0.025138 Epoch[141] Batch [3099]/[3760] Speed: 117.316704 samples/sec accuracy=45.673387 loss=2.401471 lr=0.025127 Epoch[141] Batch [3149]/[3760] Speed: 117.325095 samples/sec accuracy=45.639881 loss=2.402657 lr=0.025115 Epoch[141] Batch [3199]/[3760] Speed: 117.026952 samples/sec accuracy=45.628418 loss=2.402972 lr=0.025104 Epoch[141] Batch [3249]/[3760] Speed: 118.250478 samples/sec accuracy=45.637500 loss=2.402851 lr=0.025093 Epoch[141] Batch [3299]/[3760] Speed: 117.778225 samples/sec accuracy=45.636837 loss=2.402861 lr=0.025082 Epoch[141] Batch [3349]/[3760] Speed: 117.144866 samples/sec accuracy=45.649720 loss=2.401699 lr=0.025071 Epoch[141] Batch [3399]/[3760] Speed: 117.290141 samples/sec accuracy=45.655331 loss=2.401957 lr=0.025060 Epoch[141] Batch [3449]/[3760] Speed: 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Batch [0299]/[0303]: acc-top1=47.473958 acc-top5=72.479167 [Epoch 141] training: accuracy=45.693567 loss=2.401954 [Epoch 141] speed: 116 samples/sec time cost: 2175.077673 [Epoch 141] validation: acc-top1=47.406147 acc-top5=72.519596 loss=2.433384 Epoch[142] Batch [0049]/[3759] Speed: 86.970302 samples/sec accuracy=47.125000 loss=2.358990 lr=0.024968 Epoch[142] Batch [0099]/[3759] Speed: 117.822001 samples/sec accuracy=47.421875 loss=2.340761 lr=0.024957 Epoch[142] Batch [0149]/[3759] Speed: 118.068968 samples/sec accuracy=46.791667 loss=2.358315 lr=0.024946 Epoch[142] Batch [0199]/[3759] Speed: 117.334019 samples/sec accuracy=46.562500 loss=2.369264 lr=0.024934 Epoch[142] Batch [0249]/[3759] Speed: 117.028202 samples/sec accuracy=46.537500 loss=2.365215 lr=0.024923 Epoch[142] Batch [0299]/[3759] Speed: 117.411922 samples/sec accuracy=46.385417 loss=2.364380 lr=0.024912 Epoch[142] Batch [0349]/[3759] Speed: 117.349084 samples/sec accuracy=46.241071 loss=2.361123 lr=0.024901 Epoch[142] 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accuracy=46.095139 loss=2.377093 lr=0.024478 Epoch[142] Batch [2299]/[3759] Speed: 118.282093 samples/sec accuracy=46.072690 loss=2.378309 lr=0.024467 Epoch[142] Batch [2349]/[3759] Speed: 117.648550 samples/sec accuracy=46.081117 loss=2.378560 lr=0.024456 Epoch[142] Batch [2399]/[3759] Speed: 118.135701 samples/sec accuracy=46.109375 loss=2.376968 lr=0.024445 Epoch[142] Batch [2449]/[3759] Speed: 117.786327 samples/sec accuracy=46.099490 loss=2.377663 lr=0.024434 Epoch[142] Batch [2499]/[3759] Speed: 117.740981 samples/sec accuracy=46.079375 loss=2.378011 lr=0.024423 Epoch[142] Batch [2549]/[3759] Speed: 116.181438 samples/sec accuracy=46.101103 loss=2.377650 lr=0.024412 Epoch[142] Batch [2599]/[3759] Speed: 117.666854 samples/sec accuracy=46.109976 loss=2.377210 lr=0.024401 Epoch[142] Batch [2649]/[3759] Speed: 117.680960 samples/sec accuracy=46.097877 loss=2.377896 lr=0.024390 Epoch[142] Batch [2699]/[3759] Speed: 117.943540 samples/sec accuracy=46.098958 loss=2.378038 lr=0.024379 Epoch[142] Batch [2749]/[3759] Speed: 117.302530 samples/sec accuracy=46.098295 loss=2.378631 lr=0.024367 Epoch[142] Batch [2799]/[3759] Speed: 118.012012 samples/sec accuracy=46.117746 loss=2.377962 lr=0.024356 Epoch[142] Batch [2849]/[3759] Speed: 117.756300 samples/sec accuracy=46.092105 loss=2.378859 lr=0.024345 Epoch[142] Batch [2899]/[3759] Speed: 117.431377 samples/sec accuracy=46.069504 loss=2.379870 lr=0.024334 Epoch[142] Batch [2949]/[3759] Speed: 117.671233 samples/sec accuracy=46.030191 loss=2.381605 lr=0.024323 Epoch[142] Batch [2999]/[3759] Speed: 117.937766 samples/sec accuracy=46.010417 loss=2.382142 lr=0.024312 Epoch[142] Batch [3049]/[3759] Speed: 117.657611 samples/sec accuracy=46.021516 loss=2.381836 lr=0.024301 Epoch[142] Batch [3099]/[3759] Speed: 117.030373 samples/sec accuracy=45.999496 loss=2.383068 lr=0.024290 Epoch[142] Batch [3149]/[3759] Speed: 117.440550 samples/sec accuracy=46.000992 loss=2.382954 lr=0.024279 Epoch[142] Batch [3199]/[3759] Speed: 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loss=2.384549 lr=0.024168 Epoch[142] Batch [3699]/[3759] Speed: 117.037233 samples/sec accuracy=45.943412 loss=2.384525 lr=0.024157 Epoch[142] Batch [3749]/[3759] Speed: 120.747341 samples/sec accuracy=45.947917 loss=2.384361 lr=0.024146 Batch [0049]/[0303]: acc-top1=48.031250 acc-top5=72.156250 Batch [0099]/[0303]: acc-top1=45.187500 acc-top5=70.828125 Batch [0149]/[0303]: acc-top1=46.958333 acc-top5=71.760417 Batch [0199]/[0303]: acc-top1=49.773438 acc-top5=73.601562 Batch [0249]/[0303]: acc-top1=48.806250 acc-top5=73.406250 Batch [0299]/[0303]: acc-top1=48.140625 acc-top5=73.369792 [Epoch 142] training: accuracy=45.937251 loss=2.385014 [Epoch 142] speed: 117 samples/sec time cost: 2173.245744 [Epoch 142] validation: acc-top1=48.040429 acc-top5=73.339521 loss=2.324256 Epoch[143] Batch [0049]/[3760] Speed: 89.179719 samples/sec accuracy=47.843750 loss=2.290724 lr=0.024133 Epoch[143] Batch [0099]/[3760] Speed: 117.864567 samples/sec accuracy=47.546875 loss=2.311046 lr=0.024122 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loss=2.367860 lr=0.023398 Epoch[143] Batch [3449]/[3760] Speed: 117.220700 samples/sec accuracy=46.322011 loss=2.368575 lr=0.023387 Epoch[143] Batch [3499]/[3760] Speed: 118.283885 samples/sec accuracy=46.320089 loss=2.368847 lr=0.023376 Epoch[143] Batch [3549]/[3760] Speed: 117.441852 samples/sec accuracy=46.319982 loss=2.369278 lr=0.023365 Epoch[143] Batch [3599]/[3760] Speed: 115.983396 samples/sec accuracy=46.328993 loss=2.368550 lr=0.023354 Epoch[143] Batch [3649]/[3760] Speed: 117.191233 samples/sec accuracy=46.336473 loss=2.368365 lr=0.023343 Epoch[143] Batch [3699]/[3760] Speed: 117.406144 samples/sec accuracy=46.360220 loss=2.367482 lr=0.023332 Epoch[143] Batch [3749]/[3760] Speed: 120.446733 samples/sec accuracy=46.343750 loss=2.367815 lr=0.023321 Batch [0049]/[0303]: acc-top1=47.906250 acc-top5=72.343750 Batch [0099]/[0303]: acc-top1=44.546875 acc-top5=71.046875 Batch [0149]/[0303]: acc-top1=46.364583 acc-top5=72.041667 Batch [0199]/[0303]: acc-top1=49.328125 acc-top5=73.914062 Batch [0249]/[0303]: acc-top1=48.912500 acc-top5=73.731250 Batch [0299]/[0303]: acc-top1=47.927083 acc-top5=73.416667 [Epoch 143] training: accuracy=46.342670 loss=2.367929 [Epoch 143] speed: 116 samples/sec time cost: 2172.786093 [Epoch 143] validation: acc-top1=47.865099 acc-top5=73.396246 loss=2.344995 Epoch[144] Batch [0049]/[3760] Speed: 87.292062 samples/sec accuracy=46.875000 loss=2.364786 lr=0.023308 Epoch[144] Batch [0099]/[3760] Speed: 117.876455 samples/sec accuracy=46.281250 loss=2.346999 lr=0.023297 Epoch[144] Batch [0149]/[3760] Speed: 117.232532 samples/sec accuracy=46.760417 loss=2.335138 lr=0.023286 Epoch[144] Batch [0199]/[3760] Speed: 117.714628 samples/sec accuracy=46.703125 loss=2.348813 lr=0.023276 Epoch[144] Batch [0249]/[3760] Speed: 117.937124 samples/sec accuracy=46.612500 loss=2.351295 lr=0.023265 Epoch[144] Batch [0299]/[3760] Speed: 116.915784 samples/sec accuracy=46.708333 loss=2.344613 lr=0.023254 Epoch[144] Batch [0349]/[3760] Speed: 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accuracy=46.636607 loss=2.348515 lr=0.022938 Epoch[144] Batch [1799]/[3760] Speed: 117.092012 samples/sec accuracy=46.644097 loss=2.348625 lr=0.022928 Epoch[144] Batch [1849]/[3760] Speed: 117.674988 samples/sec accuracy=46.658784 loss=2.346878 lr=0.022917 Epoch[144] Batch [1899]/[3760] Speed: 117.483373 samples/sec accuracy=46.658717 loss=2.346102 lr=0.022906 Epoch[144] Batch [1949]/[3760] Speed: 117.830703 samples/sec accuracy=46.642628 loss=2.348327 lr=0.022895 Epoch[144] Batch [1999]/[3760] Speed: 117.425671 samples/sec accuracy=46.666406 loss=2.348087 lr=0.022884 Epoch[144] Batch [2049]/[3760] Speed: 117.207276 samples/sec accuracy=46.660061 loss=2.347216 lr=0.022873 Epoch[144] Batch [2099]/[3760] Speed: 117.801352 samples/sec accuracy=46.667411 loss=2.346838 lr=0.022863 Epoch[144] Batch [2149]/[3760] Speed: 118.016453 samples/sec accuracy=46.696221 loss=2.346446 lr=0.022852 Epoch[144] Batch [2199]/[3760] Speed: 115.478760 samples/sec accuracy=46.702415 loss=2.345395 lr=0.022841 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loss=2.321696 lr=0.021882 Epoch[145] Batch [2949]/[3759] Speed: 117.635075 samples/sec accuracy=47.146716 loss=2.321460 lr=0.021872 Epoch[145] Batch [2999]/[3759] Speed: 117.686180 samples/sec accuracy=47.130729 loss=2.322343 lr=0.021861 Epoch[145] Batch [3049]/[3759] Speed: 117.242745 samples/sec accuracy=47.130123 loss=2.322485 lr=0.021850 Epoch[145] Batch [3099]/[3759] Speed: 117.204766 samples/sec accuracy=47.139113 loss=2.322239 lr=0.021840 Epoch[145] Batch [3149]/[3759] Speed: 117.439500 samples/sec accuracy=47.133929 loss=2.322558 lr=0.021829 Epoch[145] Batch [3199]/[3759] Speed: 117.365938 samples/sec accuracy=47.112305 loss=2.324085 lr=0.021818 Epoch[145] Batch [3249]/[3759] Speed: 117.114112 samples/sec accuracy=47.138942 loss=2.323479 lr=0.021808 Epoch[145] Batch [3299]/[3759] Speed: 117.899479 samples/sec accuracy=47.138731 loss=2.323220 lr=0.021797 Epoch[145] Batch [3349]/[3759] Speed: 115.926803 samples/sec accuracy=47.148787 loss=2.322767 lr=0.021786 Epoch[145] Batch 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acc-top5=71.968750 Batch [0199]/[0303]: acc-top1=49.421875 acc-top5=73.703125 Batch [0249]/[0303]: acc-top1=48.837500 acc-top5=73.312500 Batch [0299]/[0303]: acc-top1=48.098958 acc-top5=73.343750 [Epoch 145] training: accuracy=47.078262 loss=2.327998 [Epoch 145] speed: 116 samples/sec time cost: 2173.401512 [Epoch 145] validation: acc-top1=48.097153 acc-top5=73.375619 loss=2.376777 Epoch[146] Batch [0049]/[3760] Speed: 87.827102 samples/sec accuracy=48.343750 loss=2.299939 lr=0.021689 Epoch[146] Batch [0099]/[3760] Speed: 117.794360 samples/sec accuracy=49.171875 loss=2.266273 lr=0.021678 Epoch[146] Batch [0149]/[3760] Speed: 117.786379 samples/sec accuracy=48.125000 loss=2.287780 lr=0.021667 Epoch[146] Batch [0199]/[3760] Speed: 117.338826 samples/sec accuracy=48.234375 loss=2.282219 lr=0.021657 Epoch[146] Batch [0249]/[3760] Speed: 117.994048 samples/sec accuracy=48.200000 loss=2.284049 lr=0.021646 Epoch[146] Batch [0299]/[3760] Speed: 117.782362 samples/sec accuracy=48.005208 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accuracy=47.685000 loss=2.303764 lr=0.021434 Epoch[146] Batch [1299]/[3760] Speed: 117.514393 samples/sec accuracy=47.715144 loss=2.303585 lr=0.021423 Epoch[146] Batch [1349]/[3760] Speed: 118.026675 samples/sec accuracy=47.641204 loss=2.305451 lr=0.021413 Epoch[146] Batch [1399]/[3760] Speed: 116.565756 samples/sec accuracy=47.639509 loss=2.306576 lr=0.021402 Epoch[146] Batch [1449]/[3760] Speed: 117.243968 samples/sec accuracy=47.646552 loss=2.306818 lr=0.021392 Epoch[146] Batch [1499]/[3760] Speed: 117.659304 samples/sec accuracy=47.636458 loss=2.306962 lr=0.021381 Epoch[146] Batch [1549]/[3760] Speed: 118.056859 samples/sec accuracy=47.605847 loss=2.308262 lr=0.021371 Epoch[146] Batch [1599]/[3760] Speed: 117.912158 samples/sec accuracy=47.642578 loss=2.308804 lr=0.021360 Epoch[146] Batch [1649]/[3760] Speed: 117.657491 samples/sec accuracy=47.681818 loss=2.307306 lr=0.021349 Epoch[146] Batch [1699]/[3760] Speed: 117.298062 samples/sec accuracy=47.689338 loss=2.306662 lr=0.021339 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loss=2.312830 lr=0.021138 Epoch[146] Batch [2699]/[3760] Speed: 117.135604 samples/sec accuracy=47.562500 loss=2.311842 lr=0.021128 Epoch[146] Batch [2749]/[3760] Speed: 117.652961 samples/sec accuracy=47.552841 loss=2.311855 lr=0.021117 Epoch[146] Batch [2799]/[3760] Speed: 116.600493 samples/sec accuracy=47.529576 loss=2.313551 lr=0.021107 Epoch[146] Batch [2849]/[3760] Speed: 117.269278 samples/sec accuracy=47.528509 loss=2.313177 lr=0.021096 Epoch[146] Batch [2899]/[3760] Speed: 117.040127 samples/sec accuracy=47.505927 loss=2.314644 lr=0.021086 Epoch[146] Batch [2949]/[3760] Speed: 117.251614 samples/sec accuracy=47.497352 loss=2.314114 lr=0.021075 Epoch[146] Batch [2999]/[3760] Speed: 117.051824 samples/sec accuracy=47.485417 loss=2.314597 lr=0.021065 Epoch[146] Batch [3049]/[3760] Speed: 117.325621 samples/sec accuracy=47.474385 loss=2.314812 lr=0.021054 Epoch[146] Batch [3099]/[3760] Speed: 117.652997 samples/sec accuracy=47.454133 loss=2.314690 lr=0.021044 Epoch[146] Batch 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accuracy=47.457899 loss=2.315422 lr=0.020939 Epoch[146] Batch [3649]/[3760] Speed: 117.513429 samples/sec accuracy=47.467894 loss=2.315425 lr=0.020928 Epoch[146] Batch [3699]/[3760] Speed: 117.632759 samples/sec accuracy=47.472551 loss=2.315243 lr=0.020918 Epoch[146] Batch [3749]/[3760] Speed: 120.177927 samples/sec accuracy=47.475417 loss=2.315773 lr=0.020907 Batch [0049]/[0303]: acc-top1=49.125000 acc-top5=72.406250 Batch [0099]/[0303]: acc-top1=45.531250 acc-top5=70.140625 Batch [0149]/[0303]: acc-top1=47.604167 acc-top5=71.510417 Batch [0199]/[0303]: acc-top1=49.687500 acc-top5=73.375000 Batch [0249]/[0303]: acc-top1=48.693750 acc-top5=73.093750 Batch [0299]/[0303]: acc-top1=47.776042 acc-top5=72.843750 [Epoch 146] training: accuracy=47.470495 loss=2.316125 [Epoch 146] speed: 116 samples/sec time cost: 2176.165482 [Epoch 146] validation: acc-top1=47.715553 acc-top5=72.803218 loss=2.406818 Epoch[147] Batch [0049]/[3760] Speed: 87.807411 samples/sec accuracy=47.843750 loss=2.258411 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accuracy=47.809375 loss=2.286948 lr=0.020696 Epoch[147] Batch [1049]/[3760] Speed: 117.199469 samples/sec accuracy=47.840774 loss=2.286024 lr=0.020685 Epoch[147] Batch [1099]/[3760] Speed: 117.570021 samples/sec accuracy=47.811080 loss=2.287722 lr=0.020675 Epoch[147] Batch [1149]/[3760] Speed: 117.736412 samples/sec accuracy=47.820652 loss=2.287062 lr=0.020664 Epoch[147] Batch [1199]/[3760] Speed: 116.456950 samples/sec accuracy=47.854167 loss=2.285160 lr=0.020654 Epoch[147] Batch [1249]/[3760] Speed: 118.168232 samples/sec accuracy=47.902500 loss=2.283342 lr=0.020643 Epoch[147] Batch [1299]/[3760] Speed: 117.030120 samples/sec accuracy=47.900240 loss=2.283513 lr=0.020633 Epoch[147] Batch [1349]/[3760] Speed: 116.900132 samples/sec accuracy=47.857639 loss=2.284289 lr=0.020623 Epoch[147] Batch [1399]/[3760] Speed: 116.894435 samples/sec accuracy=47.854911 loss=2.285984 lr=0.020612 Epoch[147] Batch [1449]/[3760] Speed: 117.327450 samples/sec accuracy=47.810345 loss=2.287880 lr=0.020602 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accuracy=47.801772 loss=2.297921 lr=0.020207 Epoch[147] Batch [3399]/[3760] Speed: 117.626003 samples/sec accuracy=47.776654 loss=2.298327 lr=0.020196 Epoch[147] Batch [3449]/[3760] Speed: 117.104394 samples/sec accuracy=47.771739 loss=2.297763 lr=0.020186 Epoch[147] Batch [3499]/[3760] Speed: 115.413822 samples/sec accuracy=47.761607 loss=2.298401 lr=0.020176 Epoch[147] Batch [3549]/[3760] Speed: 117.288973 samples/sec accuracy=47.761884 loss=2.298803 lr=0.020165 Epoch[147] Batch [3599]/[3760] Speed: 116.973718 samples/sec accuracy=47.765625 loss=2.298764 lr=0.020155 Epoch[147] Batch [3649]/[3760] Speed: 117.589472 samples/sec accuracy=47.779538 loss=2.298237 lr=0.020145 Epoch[147] Batch [3699]/[3760] Speed: 117.317459 samples/sec accuracy=47.809122 loss=2.297837 lr=0.020134 Epoch[147] Batch [3749]/[3760] Speed: 120.361261 samples/sec accuracy=47.785833 loss=2.298617 lr=0.020124 Batch [0049]/[0303]: acc-top1=48.937500 acc-top5=72.187500 Batch [0099]/[0303]: acc-top1=46.234375 acc-top5=71.406250 Batch [0149]/[0303]: acc-top1=47.604167 acc-top5=72.708333 Batch [0199]/[0303]: acc-top1=50.218750 acc-top5=74.664062 Batch [0249]/[0303]: acc-top1=49.312500 acc-top5=74.118750 Batch [0299]/[0303]: acc-top1=49.145833 acc-top5=74.062500 [Epoch 147] training: accuracy=47.793800 loss=2.298203 [Epoch 147] speed: 116 samples/sec time cost: 2177.161673 [Epoch 147] validation: acc-top1=49.076939 acc-top5=74.025371 loss=2.331671 Epoch[148] Batch [0049]/[3759] Speed: 87.645105 samples/sec accuracy=48.750000 loss=2.285290 lr=0.020112 Epoch[148] Batch [0099]/[3759] Speed: 117.403933 samples/sec accuracy=48.500000 loss=2.260306 lr=0.020101 Epoch[148] Batch [0149]/[3759] Speed: 117.138178 samples/sec accuracy=48.052083 loss=2.285170 lr=0.020091 Epoch[148] Batch [0199]/[3759] Speed: 117.898776 samples/sec accuracy=48.281250 loss=2.262248 lr=0.020081 Epoch[148] Batch [0249]/[3759] Speed: 117.848572 samples/sec accuracy=48.537500 loss=2.260873 lr=0.020070 Epoch[148] Batch 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accuracy=48.608333 loss=2.256269 lr=0.019967 Epoch[148] Batch [0799]/[3759] Speed: 117.622106 samples/sec accuracy=48.556641 loss=2.256771 lr=0.019957 Epoch[148] Batch [0849]/[3759] Speed: 117.918705 samples/sec accuracy=48.597426 loss=2.256005 lr=0.019946 Epoch[148] Batch [0899]/[3759] Speed: 115.824719 samples/sec accuracy=48.598958 loss=2.255542 lr=0.019936 Epoch[148] Batch [0949]/[3759] Speed: 116.808460 samples/sec accuracy=48.557566 loss=2.258326 lr=0.019926 Epoch[148] Batch [0999]/[3759] Speed: 116.811561 samples/sec accuracy=48.576562 loss=2.258410 lr=0.019915 Epoch[148] Batch [1049]/[3759] Speed: 117.371668 samples/sec accuracy=48.526786 loss=2.261893 lr=0.019905 Epoch[148] Batch [1099]/[3759] Speed: 117.059810 samples/sec accuracy=48.552557 loss=2.261560 lr=0.019895 Epoch[148] Batch [1149]/[3759] Speed: 117.120845 samples/sec accuracy=48.536685 loss=2.261087 lr=0.019885 Epoch[148] Batch [1199]/[3759] Speed: 117.474581 samples/sec accuracy=48.566406 loss=2.259988 lr=0.019874 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accuracy=48.320060 loss=2.269480 lr=0.019485 Epoch[148] Batch [3149]/[3759] Speed: 117.345342 samples/sec accuracy=48.327381 loss=2.269816 lr=0.019474 Epoch[148] Batch [3199]/[3759] Speed: 117.808919 samples/sec accuracy=48.341797 loss=2.269682 lr=0.019464 Epoch[148] Batch [3249]/[3759] Speed: 117.983917 samples/sec accuracy=48.342308 loss=2.269844 lr=0.019454 Epoch[148] Batch [3299]/[3759] Speed: 117.412407 samples/sec accuracy=48.333807 loss=2.269994 lr=0.019444 Epoch[148] Batch [3349]/[3759] Speed: 116.942580 samples/sec accuracy=48.338153 loss=2.269745 lr=0.019433 Epoch[148] Batch [3399]/[3759] Speed: 117.733459 samples/sec accuracy=48.331801 loss=2.269880 lr=0.019423 Epoch[148] Batch [3449]/[3759] Speed: 115.829032 samples/sec accuracy=48.310236 loss=2.270523 lr=0.019413 Epoch[148] Batch [3499]/[3759] Speed: 118.072440 samples/sec accuracy=48.316964 loss=2.270547 lr=0.019403 Epoch[148] Batch [3549]/[3759] Speed: 117.124668 samples/sec accuracy=48.326585 loss=2.269990 lr=0.019393 Epoch[148] Batch [3599]/[3759] Speed: 117.125657 samples/sec accuracy=48.310764 loss=2.270597 lr=0.019382 Epoch[148] Batch [3649]/[3759] Speed: 118.039709 samples/sec accuracy=48.305651 loss=2.270731 lr=0.019372 Epoch[148] Batch [3699]/[3759] Speed: 117.495097 samples/sec accuracy=48.305743 loss=2.270751 lr=0.019362 Epoch[148] Batch [3749]/[3759] Speed: 120.317520 samples/sec accuracy=48.330000 loss=2.269813 lr=0.019352 Batch [0049]/[0303]: acc-top1=47.156250 acc-top5=71.750000 Batch [0099]/[0303]: acc-top1=45.281250 acc-top5=71.656250 Batch [0149]/[0303]: acc-top1=46.854167 acc-top5=72.375000 Batch [0199]/[0303]: acc-top1=49.882812 acc-top5=74.320312 Batch [0249]/[0303]: acc-top1=49.575000 acc-top5=74.243750 Batch [0299]/[0303]: acc-top1=48.890625 acc-top5=74.218750 [Epoch 148] training: accuracy=48.323191 loss=2.269907 [Epoch 148] speed: 116 samples/sec time cost: 2174.416856 [Epoch 148] validation: acc-top1=48.973804 acc-top5=74.241955 loss=2.327983 Epoch[149] Batch [0049]/[3760] 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accuracy=48.896875 loss=2.239371 lr=0.019248 Epoch[149] Batch [0549]/[3760] Speed: 117.560687 samples/sec accuracy=48.931818 loss=2.236496 lr=0.019238 Epoch[149] Batch [0599]/[3760] Speed: 117.524480 samples/sec accuracy=49.007812 loss=2.236274 lr=0.019228 Epoch[149] Batch [0649]/[3760] Speed: 117.313572 samples/sec accuracy=48.927885 loss=2.240600 lr=0.019218 Epoch[149] Batch [0699]/[3760] Speed: 117.506068 samples/sec accuracy=48.968750 loss=2.237510 lr=0.019208 Epoch[149] Batch [0749]/[3760] Speed: 117.284790 samples/sec accuracy=48.966667 loss=2.238092 lr=0.019197 Epoch[149] Batch [0799]/[3760] Speed: 117.166177 samples/sec accuracy=49.019531 loss=2.237904 lr=0.019187 Epoch[149] Batch [0849]/[3760] Speed: 116.806232 samples/sec accuracy=48.948529 loss=2.240667 lr=0.019177 Epoch[149] Batch [0899]/[3760] Speed: 117.445588 samples/sec accuracy=48.927083 loss=2.241399 lr=0.019167 Epoch[149] Batch [0949]/[3760] Speed: 115.785176 samples/sec accuracy=48.930921 loss=2.242660 lr=0.019157 Epoch[149] Batch [0999]/[3760] Speed: 116.834743 samples/sec accuracy=48.964062 loss=2.239612 lr=0.019147 Epoch[149] Batch [1049]/[3760] Speed: 117.292101 samples/sec accuracy=48.950893 loss=2.240137 lr=0.019137 Epoch[149] Batch [1099]/[3760] Speed: 116.517868 samples/sec accuracy=48.873580 loss=2.243263 lr=0.019126 Epoch[149] Batch [1149]/[3760] Speed: 118.149008 samples/sec accuracy=48.860054 loss=2.244882 lr=0.019116 Epoch[149] Batch [1199]/[3760] Speed: 116.986999 samples/sec accuracy=48.871094 loss=2.243500 lr=0.019106 Epoch[149] Batch [1249]/[3760] Speed: 117.209756 samples/sec accuracy=48.836250 loss=2.245902 lr=0.019096 Epoch[149] Batch [1299]/[3760] Speed: 118.103182 samples/sec accuracy=48.776442 loss=2.249261 lr=0.019086 Epoch[149] Batch [1349]/[3760] Speed: 117.390370 samples/sec accuracy=48.744213 loss=2.250726 lr=0.019076 Epoch[149] Batch [1399]/[3760] Speed: 117.053943 samples/sec accuracy=48.760045 loss=2.250562 lr=0.019066 Epoch[149] Batch [1449]/[3760] Speed: 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loss=2.249381 lr=0.018964 Epoch[149] Batch [1949]/[3760] Speed: 116.827833 samples/sec accuracy=48.692308 loss=2.251460 lr=0.018954 Epoch[149] Batch [1999]/[3760] Speed: 116.860974 samples/sec accuracy=48.685938 loss=2.251154 lr=0.018944 Epoch[149] Batch [2049]/[3760] Speed: 117.088369 samples/sec accuracy=48.641768 loss=2.251403 lr=0.018934 Epoch[149] Batch [2099]/[3760] Speed: 116.665169 samples/sec accuracy=48.663690 loss=2.250506 lr=0.018924 Epoch[149] Batch [2149]/[3760] Speed: 116.872221 samples/sec accuracy=48.664244 loss=2.250888 lr=0.018914 Epoch[149] Batch [2199]/[3760] Speed: 114.654888 samples/sec accuracy=48.671875 loss=2.250856 lr=0.018904 Epoch[149] Batch [2249]/[3760] Speed: 118.309200 samples/sec accuracy=48.665972 loss=2.250931 lr=0.018894 Epoch[149] Batch [2299]/[3760] Speed: 116.910324 samples/sec accuracy=48.653533 loss=2.251501 lr=0.018883 Epoch[149] Batch [2349]/[3760] Speed: 117.509460 samples/sec accuracy=48.686170 loss=2.251583 lr=0.018873 Epoch[149] Batch 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accuracy=48.715461 loss=2.252495 lr=0.018773 Epoch[149] Batch [2899]/[3760] Speed: 117.635344 samples/sec accuracy=48.718211 loss=2.252703 lr=0.018762 Epoch[149] Batch [2949]/[3760] Speed: 117.043569 samples/sec accuracy=48.699682 loss=2.252393 lr=0.018752 Epoch[149] Batch [2999]/[3760] Speed: 116.634932 samples/sec accuracy=48.696875 loss=2.252354 lr=0.018742 Epoch[149] Batch [3049]/[3760] Speed: 117.341294 samples/sec accuracy=48.681865 loss=2.252125 lr=0.018732 Epoch[149] Batch [3099]/[3760] Speed: 118.184695 samples/sec accuracy=48.693044 loss=2.251689 lr=0.018722 Epoch[149] Batch [3149]/[3760] Speed: 117.525400 samples/sec accuracy=48.688492 loss=2.251547 lr=0.018712 Epoch[149] Batch [3199]/[3760] Speed: 117.330443 samples/sec accuracy=48.714355 loss=2.251134 lr=0.018702 Epoch[149] Batch [3249]/[3760] Speed: 117.723800 samples/sec accuracy=48.731250 loss=2.250432 lr=0.018692 Epoch[149] Batch [3299]/[3760] Speed: 117.244132 samples/sec accuracy=48.727746 loss=2.250701 lr=0.018682 Epoch[149] Batch [3349]/[3760] Speed: 117.532169 samples/sec accuracy=48.699160 loss=2.251882 lr=0.018672 Epoch[149] Batch [3399]/[3760] Speed: 117.993486 samples/sec accuracy=48.698070 loss=2.251602 lr=0.018662 Epoch[149] Batch [3449]/[3760] Speed: 117.253198 samples/sec accuracy=48.673460 loss=2.252524 lr=0.018652 Epoch[149] Batch [3499]/[3760] Speed: 115.476532 samples/sec accuracy=48.650446 loss=2.253128 lr=0.018642 Epoch[149] Batch [3549]/[3760] Speed: 117.731812 samples/sec accuracy=48.632923 loss=2.253630 lr=0.018632 Epoch[149] Batch [3599]/[3760] Speed: 117.386485 samples/sec accuracy=48.644531 loss=2.253111 lr=0.018622 Epoch[149] Batch [3649]/[3760] Speed: 117.832975 samples/sec accuracy=48.630137 loss=2.253923 lr=0.018612 Epoch[149] Batch [3699]/[3760] Speed: 117.958452 samples/sec accuracy=48.635980 loss=2.254166 lr=0.018602 Epoch[149] Batch [3749]/[3760] Speed: 120.144219 samples/sec accuracy=48.625417 loss=2.254670 lr=0.018592 Batch [0049]/[0303]: acc-top1=49.531250 acc-top5=72.531250 Batch [0099]/[0303]: acc-top1=46.890625 acc-top5=71.593750 Batch [0149]/[0303]: acc-top1=48.406250 acc-top5=72.437500 Batch [0199]/[0303]: acc-top1=51.000000 acc-top5=74.195312 Batch [0249]/[0303]: acc-top1=50.187500 acc-top5=73.700000 Batch [0299]/[0303]: acc-top1=49.536458 acc-top5=73.828125 [Epoch 149] training: accuracy=48.614112 loss=2.254824 [Epoch 149] speed: 116 samples/sec time cost: 2177.089181 [Epoch 149] validation: acc-top1=49.546205 acc-top5=73.880982 loss=2.325133 Epoch[150] Batch [0049]/[3760] Speed: 86.219719 samples/sec accuracy=51.468750 loss=2.127971 lr=0.018580 Epoch[150] Batch [0099]/[3760] Speed: 118.122361 samples/sec accuracy=50.828125 loss=2.150344 lr=0.018570 Epoch[150] Batch [0149]/[3760] Speed: 117.585542 samples/sec accuracy=51.020833 loss=2.145385 lr=0.018559 Epoch[150] Batch [0199]/[3760] Speed: 118.054399 samples/sec accuracy=50.984375 loss=2.154059 lr=0.018549 Epoch[150] Batch [0249]/[3760] Speed: 117.508405 samples/sec accuracy=50.437500 loss=2.175425 lr=0.018539 Epoch[150] Batch [0299]/[3760] Speed: 117.480776 samples/sec accuracy=50.192708 loss=2.187149 lr=0.018529 Epoch[150] Batch [0349]/[3760] Speed: 117.545992 samples/sec accuracy=49.866071 loss=2.204014 lr=0.018519 Epoch[150] Batch [0399]/[3760] Speed: 116.362101 samples/sec accuracy=49.617188 loss=2.216725 lr=0.018509 Epoch[150] Batch [0449]/[3760] Speed: 117.899071 samples/sec accuracy=49.697917 loss=2.212105 lr=0.018499 Epoch[150] Batch [0499]/[3760] Speed: 117.640424 samples/sec accuracy=49.684375 loss=2.213210 lr=0.018489 Epoch[150] Batch [0549]/[3760] Speed: 117.217037 samples/sec accuracy=49.573864 loss=2.220355 lr=0.018479 Epoch[150] Batch [0599]/[3760] Speed: 117.127176 samples/sec accuracy=49.588542 loss=2.217841 lr=0.018469 Epoch[150] Batch [0649]/[3760] Speed: 117.657447 samples/sec accuracy=49.586538 loss=2.223239 lr=0.018459 Epoch[150] Batch [0699]/[3760] Speed: 117.868205 samples/sec accuracy=49.761161 loss=2.215298 lr=0.018449 Epoch[150] Batch [0749]/[3760] Speed: 117.652310 samples/sec accuracy=49.754167 loss=2.213648 lr=0.018439 Epoch[150] Batch [0799]/[3760] Speed: 118.463278 samples/sec accuracy=49.689453 loss=2.216070 lr=0.018429 Epoch[150] Batch [0849]/[3760] Speed: 117.046546 samples/sec accuracy=49.669118 loss=2.213951 lr=0.018419 Epoch[150] Batch [0899]/[3760] Speed: 117.297696 samples/sec accuracy=49.651042 loss=2.213158 lr=0.018409 Epoch[150] Batch [0949]/[3760] Speed: 117.471443 samples/sec accuracy=49.613487 loss=2.214367 lr=0.018399 Epoch[150] Batch [0999]/[3760] Speed: 117.592210 samples/sec accuracy=49.543750 loss=2.218273 lr=0.018389 Epoch[150] Batch [1049]/[3760] Speed: 117.777223 samples/sec accuracy=49.438988 loss=2.221291 lr=0.018379 Epoch[150] Batch [1099]/[3760] Speed: 115.235154 samples/sec accuracy=49.495739 loss=2.218193 lr=0.018369 Epoch[150] Batch [1149]/[3760] Speed: 117.822189 samples/sec accuracy=49.392663 loss=2.222700 lr=0.018359 Epoch[150] Batch [1199]/[3760] Speed: 117.787831 samples/sec accuracy=49.407552 loss=2.222938 lr=0.018349 Epoch[150] Batch [1249]/[3760] Speed: 117.516165 samples/sec accuracy=49.390000 loss=2.224123 lr=0.018339 Epoch[150] Batch [1299]/[3760] Speed: 117.207991 samples/sec accuracy=49.326923 loss=2.227000 lr=0.018329 Epoch[150] Batch [1349]/[3760] Speed: 117.878159 samples/sec accuracy=49.353009 loss=2.225623 lr=0.018319 Epoch[150] Batch [1399]/[3760] Speed: 117.365801 samples/sec accuracy=49.354911 loss=2.227093 lr=0.018309 Epoch[150] Batch [1449]/[3760] Speed: 117.732829 samples/sec accuracy=49.360991 loss=2.228642 lr=0.018299 Epoch[150] Batch [1499]/[3760] Speed: 117.535546 samples/sec accuracy=49.358333 loss=2.228248 lr=0.018289 Epoch[150] Batch [1549]/[3760] Speed: 117.265961 samples/sec accuracy=49.344758 loss=2.228635 lr=0.018280 Epoch[150] Batch [1599]/[3760] Speed: 117.378270 samples/sec accuracy=49.370117 loss=2.226873 lr=0.018270 Epoch[150] Batch [1649]/[3760] Speed: 117.318864 samples/sec accuracy=49.339015 loss=2.227762 lr=0.018260 Epoch[150] Batch [1699]/[3760] Speed: 117.980368 samples/sec accuracy=49.325368 loss=2.226846 lr=0.018250 Epoch[150] Batch [1749]/[3760] Speed: 117.227427 samples/sec accuracy=49.293750 loss=2.226903 lr=0.018240 Epoch[150] Batch [1799]/[3760] Speed: 117.336615 samples/sec accuracy=49.289931 loss=2.227300 lr=0.018230 Epoch[150] Batch [1849]/[3760] Speed: 117.300585 samples/sec accuracy=49.293919 loss=2.227730 lr=0.018220 Epoch[150] Batch [1899]/[3760] Speed: 117.803266 samples/sec accuracy=49.268092 loss=2.227433 lr=0.018210 Epoch[150] Batch [1949]/[3760] Speed: 117.111715 samples/sec accuracy=49.247596 loss=2.227932 lr=0.018200 Epoch[150] Batch [1999]/[3760] Speed: 117.892736 samples/sec accuracy=49.239844 loss=2.228597 lr=0.018190 Epoch[150] Batch [2049]/[3760] Speed: 117.814877 samples/sec accuracy=49.236280 loss=2.229094 lr=0.018180 Epoch[150] Batch [2099]/[3760] Speed: 117.636430 samples/sec accuracy=49.235119 loss=2.229605 lr=0.018170 Epoch[150] Batch [2149]/[3760] Speed: 117.375039 samples/sec accuracy=49.235465 loss=2.229479 lr=0.018160 Epoch[150] Batch [2199]/[3760] Speed: 117.578675 samples/sec accuracy=49.249290 loss=2.228728 lr=0.018150 Epoch[150] Batch [2249]/[3760] Speed: 117.699770 samples/sec accuracy=49.257639 loss=2.228877 lr=0.018140 Epoch[150] Batch [2299]/[3760] Speed: 116.611167 samples/sec accuracy=49.246603 loss=2.230018 lr=0.018130 Epoch[150] Batch [2349]/[3760] Speed: 117.086354 samples/sec accuracy=49.265957 loss=2.230402 lr=0.018120 Epoch[150] Batch [2399]/[3760] Speed: 116.112739 samples/sec accuracy=49.261719 loss=2.231048 lr=0.018110 Epoch[150] Batch [2449]/[3760] Speed: 117.516534 samples/sec accuracy=49.258291 loss=2.231265 lr=0.018100 Epoch[150] Batch [2499]/[3760] Speed: 118.202476 samples/sec accuracy=49.255625 loss=2.231562 lr=0.018090 Epoch[150] Batch [2549]/[3760] Speed: 117.245826 samples/sec accuracy=49.251838 loss=2.232037 lr=0.018081 Epoch[150] Batch [2599]/[3760] Speed: 117.274610 samples/sec accuracy=49.274639 loss=2.231163 lr=0.018071 Epoch[150] Batch [2649]/[3760] Speed: 116.800010 samples/sec accuracy=49.232311 loss=2.233316 lr=0.018061 Epoch[150] Batch [2699]/[3760] Speed: 117.435140 samples/sec accuracy=49.222801 loss=2.233347 lr=0.018051 Epoch[150] Batch [2749]/[3760] Speed: 117.581149 samples/sec accuracy=49.238636 loss=2.233133 lr=0.018041 Epoch[150] Batch [2799]/[3760] Speed: 117.305783 samples/sec accuracy=49.222656 loss=2.233910 lr=0.018031 Epoch[150] Batch [2849]/[3760] Speed: 117.245214 samples/sec accuracy=49.232456 loss=2.233105 lr=0.018021 Epoch[150] Batch [2899]/[3760] Speed: 117.562952 samples/sec accuracy=49.241918 loss=2.232574 lr=0.018011 Epoch[150] Batch [2949]/[3760] Speed: 117.028636 samples/sec accuracy=49.240996 loss=2.232274 lr=0.018001 Epoch[150] Batch [2999]/[3760] Speed: 116.692420 samples/sec accuracy=49.258333 loss=2.232332 lr=0.017991 Epoch[150] Batch [3049]/[3760] Speed: 117.736421 samples/sec accuracy=49.256148 loss=2.232698 lr=0.017981 Epoch[150] Batch [3099]/[3760] Speed: 117.978259 samples/sec accuracy=49.253024 loss=2.233195 lr=0.017971 Epoch[150] Batch [3149]/[3760] Speed: 117.805489 samples/sec accuracy=49.251984 loss=2.233153 lr=0.017962 Epoch[150] Batch [3199]/[3760] Speed: 117.952651 samples/sec accuracy=49.217285 loss=2.235141 lr=0.017952 Epoch[150] Batch [3249]/[3760] Speed: 117.509663 samples/sec accuracy=49.201442 loss=2.235479 lr=0.017942 Epoch[150] Batch [3299]/[3760] Speed: 116.398248 samples/sec accuracy=49.173769 loss=2.237055 lr=0.017932 Epoch[150] Batch [3349]/[3760] Speed: 117.001016 samples/sec accuracy=49.170709 loss=2.237161 lr=0.017922 Epoch[150] Batch [3399]/[3760] Speed: 117.561855 samples/sec accuracy=49.158548 loss=2.237717 lr=0.017912 Epoch[150] Batch [3449]/[3760] Speed: 117.994036 samples/sec accuracy=49.153533 loss=2.237603 lr=0.017902 Epoch[150] Batch [3499]/[3760] Speed: 117.626813 samples/sec accuracy=49.149107 loss=2.238033 lr=0.017892 Epoch[150] Batch [3549]/[3760] Speed: 117.493456 samples/sec accuracy=49.150968 loss=2.237627 lr=0.017882 Epoch[150] Batch [3599]/[3760] Speed: 117.328918 samples/sec accuracy=49.160156 loss=2.236835 lr=0.017873 Epoch[150] Batch [3649]/[3760] Speed: 117.946253 samples/sec accuracy=49.173801 loss=2.235939 lr=0.017863 Epoch[150] Batch [3699]/[3760] Speed: 117.534911 samples/sec accuracy=49.165118 loss=2.236456 lr=0.017853 Epoch[150] Batch [3749]/[3760] Speed: 118.192674 samples/sec accuracy=49.163333 loss=2.236301 lr=0.017843 Batch [0049]/[0303]: acc-top1=49.906250 acc-top5=72.875000 Batch [0099]/[0303]: acc-top1=46.046875 acc-top5=71.828125 Batch [0149]/[0303]: acc-top1=47.833333 acc-top5=73.010417 Batch [0199]/[0303]: acc-top1=50.750000 acc-top5=74.875000 Batch [0249]/[0303]: acc-top1=50.075000 acc-top5=74.462500 Batch [0299]/[0303]: acc-top1=49.750000 acc-top5=74.609375 [Epoch 150] training: accuracy=49.163481 loss=2.236280 [Epoch 150] speed: 116 samples/sec time cost: 2175.776002 [Epoch 150] validation: acc-top1=49.649340 acc-top5=74.582302 loss=2.269983 Epoch[151] Batch [0049]/[3759] Speed: 87.898441 samples/sec accuracy=49.968750 loss=2.182908 lr=0.017831 Epoch[151] Batch [0099]/[3759] Speed: 117.652843 samples/sec accuracy=49.625000 loss=2.206917 lr=0.017821 Epoch[151] Batch [0149]/[3759] Speed: 117.295477 samples/sec accuracy=49.531250 loss=2.198448 lr=0.017811 Epoch[151] Batch [0199]/[3759] Speed: 116.742853 samples/sec accuracy=49.843750 loss=2.191153 lr=0.017801 Epoch[151] Batch [0249]/[3759] Speed: 117.778837 samples/sec accuracy=49.843750 loss=2.191205 lr=0.017792 Epoch[151] Batch [0299]/[3759] Speed: 116.987355 samples/sec accuracy=49.750000 loss=2.188046 lr=0.017782 Epoch[151] Batch [0349]/[3759] Speed: 117.131813 samples/sec accuracy=50.040179 loss=2.179626 lr=0.017772 Epoch[151] Batch [0399]/[3759] Speed: 118.434638 samples/sec accuracy=49.773438 loss=2.193017 lr=0.017762 Epoch[151] Batch [0449]/[3759] Speed: 117.005755 samples/sec accuracy=49.777778 loss=2.195584 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accuracy=49.639509 loss=2.206673 lr=0.017565 Epoch[151] Batch [1449]/[3759] Speed: 117.468560 samples/sec accuracy=49.639009 loss=2.207297 lr=0.017555 Epoch[151] Batch [1499]/[3759] Speed: 117.811656 samples/sec accuracy=49.602083 loss=2.209238 lr=0.017546 Epoch[151] Batch [1549]/[3759] Speed: 117.478512 samples/sec accuracy=49.658266 loss=2.210402 lr=0.017536 Epoch[151] Batch [1599]/[3759] Speed: 117.511621 samples/sec accuracy=49.624023 loss=2.211941 lr=0.017526 Epoch[151] Batch [1649]/[3759] Speed: 117.174104 samples/sec accuracy=49.635417 loss=2.212371 lr=0.017516 Epoch[151] Batch [1699]/[3759] Speed: 117.652205 samples/sec accuracy=49.622243 loss=2.212696 lr=0.017506 Epoch[151] Batch [1749]/[3759] Speed: 117.231129 samples/sec accuracy=49.615179 loss=2.212945 lr=0.017497 Epoch[151] Batch [1799]/[3759] Speed: 116.775388 samples/sec accuracy=49.617188 loss=2.212100 lr=0.017487 Epoch[151] Batch [1849]/[3759] Speed: 117.241848 samples/sec accuracy=49.605574 loss=2.213632 lr=0.017477 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loss=2.218658 lr=0.017291 Epoch[151] Batch [2849]/[3759] Speed: 117.601126 samples/sec accuracy=49.402412 loss=2.219284 lr=0.017281 Epoch[151] Batch [2899]/[3759] Speed: 117.459789 samples/sec accuracy=49.407328 loss=2.219053 lr=0.017272 Epoch[151] Batch [2949]/[3759] Speed: 117.269007 samples/sec accuracy=49.390360 loss=2.219531 lr=0.017262 Epoch[151] Batch [2999]/[3759] Speed: 118.055819 samples/sec accuracy=49.413021 loss=2.219379 lr=0.017252 Epoch[151] Batch [3049]/[3759] Speed: 118.035793 samples/sec accuracy=49.411885 loss=2.218952 lr=0.017243 Epoch[151] Batch [3099]/[3759] Speed: 117.337148 samples/sec accuracy=49.398690 loss=2.218931 lr=0.017233 Epoch[151] Batch [3149]/[3759] Speed: 117.013217 samples/sec accuracy=49.384425 loss=2.219960 lr=0.017223 Epoch[151] Batch [3199]/[3759] Speed: 118.358543 samples/sec accuracy=49.384766 loss=2.219642 lr=0.017213 Epoch[151] Batch [3249]/[3759] Speed: 117.371947 samples/sec accuracy=49.388942 loss=2.219823 lr=0.017204 Epoch[151] Batch 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accuracy=49.407083 loss=2.219506 lr=0.017106 Batch [0049]/[0303]: acc-top1=50.343750 acc-top5=73.312500 Batch [0099]/[0303]: acc-top1=47.015625 acc-top5=71.859375 Batch [0149]/[0303]: acc-top1=48.927083 acc-top5=72.989583 Batch [0199]/[0303]: acc-top1=51.679688 acc-top5=74.671875 Batch [0249]/[0303]: acc-top1=50.762500 acc-top5=74.575000 Batch [0299]/[0303]: acc-top1=49.932292 acc-top5=74.562500 [Epoch 151] training: accuracy=49.406425 loss=2.219754 [Epoch 151] speed: 116 samples/sec time cost: 2174.887120 [Epoch 151] validation: acc-top1=49.943276 acc-top5=74.587459 loss=2.294312 Epoch[152] Batch [0049]/[3760] Speed: 87.330003 samples/sec accuracy=50.406250 loss=2.149132 lr=0.017095 Epoch[152] Batch [0099]/[3760] Speed: 114.632603 samples/sec accuracy=50.015625 loss=2.160105 lr=0.017085 Epoch[152] Batch [0149]/[3760] Speed: 116.956328 samples/sec accuracy=50.197917 loss=2.161250 lr=0.017075 Epoch[152] Batch [0199]/[3760] Speed: 117.077338 samples/sec accuracy=50.054687 loss=2.168359 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accuracy=49.925272 loss=2.189304 lr=0.016882 Epoch[152] Batch [1199]/[3760] Speed: 116.624258 samples/sec accuracy=49.941406 loss=2.188218 lr=0.016872 Epoch[152] Batch [1249]/[3760] Speed: 117.296704 samples/sec accuracy=49.936250 loss=2.188644 lr=0.016862 Epoch[152] Batch [1299]/[3760] Speed: 117.100028 samples/sec accuracy=49.950721 loss=2.188969 lr=0.016853 Epoch[152] Batch [1349]/[3760] Speed: 118.039208 samples/sec accuracy=49.900463 loss=2.191524 lr=0.016843 Epoch[152] Batch [1399]/[3760] Speed: 115.512678 samples/sec accuracy=49.832589 loss=2.193881 lr=0.016833 Epoch[152] Batch [1449]/[3760] Speed: 117.920955 samples/sec accuracy=49.815733 loss=2.195293 lr=0.016824 Epoch[152] Batch [1499]/[3760] Speed: 118.110239 samples/sec accuracy=49.803125 loss=2.195765 lr=0.016814 Epoch[152] Batch [1549]/[3760] Speed: 117.808762 samples/sec accuracy=49.762097 loss=2.197759 lr=0.016805 Epoch[152] Batch [1599]/[3760] Speed: 116.612678 samples/sec accuracy=49.776367 loss=2.197809 lr=0.016795 Epoch[152] Batch [1649]/[3760] Speed: 117.543199 samples/sec accuracy=49.759470 loss=2.197405 lr=0.016785 Epoch[152] Batch [1699]/[3760] Speed: 116.724550 samples/sec accuracy=49.762868 loss=2.197822 lr=0.016776 Epoch[152] Batch [1749]/[3760] Speed: 117.079119 samples/sec accuracy=49.810714 loss=2.197765 lr=0.016766 Epoch[152] Batch [1799]/[3760] Speed: 117.854125 samples/sec accuracy=49.784722 loss=2.199396 lr=0.016756 Epoch[152] Batch [1849]/[3760] Speed: 117.764833 samples/sec accuracy=49.818412 loss=2.199717 lr=0.016747 Epoch[152] Batch [1899]/[3760] Speed: 117.542804 samples/sec accuracy=49.792763 loss=2.200342 lr=0.016737 Epoch[152] Batch [1949]/[3760] Speed: 117.790922 samples/sec accuracy=49.810897 loss=2.200719 lr=0.016727 Epoch[152] Batch [1999]/[3760] Speed: 117.115720 samples/sec accuracy=49.805469 loss=2.199701 lr=0.016718 Epoch[152] Batch [2049]/[3760] Speed: 118.101916 samples/sec accuracy=49.889482 loss=2.196540 lr=0.016708 Epoch[152] Batch [2099]/[3760] Speed: 117.523159 samples/sec accuracy=49.853423 loss=2.197480 lr=0.016699 Epoch[152] Batch [2149]/[3760] Speed: 117.607569 samples/sec accuracy=49.835029 loss=2.197415 lr=0.016689 Epoch[152] Batch [2199]/[3760] Speed: 117.091970 samples/sec accuracy=49.830966 loss=2.197784 lr=0.016679 Epoch[152] Batch [2249]/[3760] Speed: 117.410732 samples/sec accuracy=49.823611 loss=2.199039 lr=0.016670 Epoch[152] Batch [2299]/[3760] Speed: 117.531149 samples/sec accuracy=49.853940 loss=2.198306 lr=0.016660 Epoch[152] Batch [2349]/[3760] Speed: 117.137885 samples/sec accuracy=49.872340 loss=2.197069 lr=0.016650 Epoch[152] Batch [2399]/[3760] Speed: 118.100634 samples/sec accuracy=49.873047 loss=2.196496 lr=0.016641 Epoch[152] Batch [2449]/[3760] Speed: 117.728823 samples/sec accuracy=49.890306 loss=2.197005 lr=0.016631 Epoch[152] Batch [2499]/[3760] Speed: 117.642582 samples/sec accuracy=49.900625 loss=2.196156 lr=0.016622 Epoch[152] Batch [2549]/[3760] Speed: 118.248148 samples/sec accuracy=49.862132 loss=2.197581 lr=0.016612 Epoch[152] Batch [2599]/[3760] Speed: 118.064833 samples/sec accuracy=49.846755 loss=2.197972 lr=0.016602 Epoch[152] Batch [2649]/[3760] Speed: 117.684429 samples/sec accuracy=49.872642 loss=2.197669 lr=0.016593 Epoch[152] Batch [2699]/[3760] Speed: 114.985989 samples/sec accuracy=49.850694 loss=2.197804 lr=0.016583 Epoch[152] Batch [2749]/[3760] Speed: 118.601606 samples/sec accuracy=49.860227 loss=2.197762 lr=0.016574 Epoch[152] Batch [2799]/[3760] Speed: 117.337508 samples/sec accuracy=49.847656 loss=2.198542 lr=0.016564 Epoch[152] Batch [2849]/[3760] Speed: 117.457678 samples/sec accuracy=49.844298 loss=2.199001 lr=0.016554 Epoch[152] Batch [2899]/[3760] Speed: 117.256013 samples/sec accuracy=49.834052 loss=2.198867 lr=0.016545 Epoch[152] Batch [2949]/[3760] Speed: 117.598366 samples/sec accuracy=49.861229 loss=2.198054 lr=0.016535 Epoch[152] Batch [2999]/[3760] Speed: 117.521851 samples/sec accuracy=49.872396 loss=2.197456 lr=0.016526 Epoch[152] Batch [3049]/[3760] Speed: 117.424281 samples/sec accuracy=49.883709 loss=2.197220 lr=0.016516 Epoch[152] Batch [3099]/[3760] Speed: 116.842192 samples/sec accuracy=49.877520 loss=2.197445 lr=0.016507 Epoch[152] Batch [3149]/[3760] Speed: 117.947759 samples/sec accuracy=49.883433 loss=2.197040 lr=0.016497 Epoch[152] Batch [3199]/[3760] Speed: 117.534566 samples/sec accuracy=49.863281 loss=2.197444 lr=0.016487 Epoch[152] Batch [3249]/[3760] Speed: 117.365614 samples/sec accuracy=49.829808 loss=2.198257 lr=0.016478 Epoch[152] Batch [3299]/[3760] Speed: 117.763836 samples/sec accuracy=49.851326 loss=2.197319 lr=0.016468 Epoch[152] Batch [3349]/[3760] Speed: 117.176455 samples/sec accuracy=49.845149 loss=2.196935 lr=0.016459 Epoch[152] Batch [3399]/[3760] Speed: 117.341036 samples/sec accuracy=49.855699 loss=2.197055 lr=0.016449 Epoch[152] Batch [3449]/[3760] Speed: 116.230614 samples/sec accuracy=49.839221 loss=2.196904 lr=0.016440 Epoch[152] Batch [3499]/[3760] Speed: 117.429440 samples/sec accuracy=49.808036 loss=2.198273 lr=0.016430 Epoch[152] Batch [3549]/[3760] Speed: 117.509120 samples/sec accuracy=49.801056 loss=2.198890 lr=0.016420 Epoch[152] Batch [3599]/[3760] Speed: 117.171703 samples/sec accuracy=49.816840 loss=2.198655 lr=0.016411 Epoch[152] Batch [3649]/[3760] Speed: 117.673891 samples/sec accuracy=49.805223 loss=2.198479 lr=0.016401 Epoch[152] Batch [3699]/[3760] Speed: 118.153943 samples/sec accuracy=49.784206 loss=2.199152 lr=0.016392 Epoch[152] Batch [3749]/[3760] Speed: 120.631368 samples/sec accuracy=49.798333 loss=2.198830 lr=0.016382 Batch [0049]/[0303]: acc-top1=50.468750 acc-top5=75.218750 Batch [0099]/[0303]: acc-top1=48.203125 acc-top5=73.312500 Batch [0149]/[0303]: acc-top1=49.541667 acc-top5=73.947917 Batch [0199]/[0303]: acc-top1=51.843750 acc-top5=75.093750 Batch [0249]/[0303]: acc-top1=51.050000 acc-top5=74.750000 Batch [0299]/[0303]: acc-top1=50.307292 acc-top5=74.489583 [Epoch 152] training: accuracy=49.794714 loss=2.198830 [Epoch 152] speed: 116 samples/sec time cost: 2175.525828 [Epoch 152] validation: acc-top1=50.324876 acc-top5=74.520421 loss=2.309442 Epoch[153] Batch [0049]/[3760] Speed: 87.281543 samples/sec accuracy=49.843750 loss=2.181835 lr=0.016371 Epoch[153] Batch [0099]/[3760] Speed: 117.499632 samples/sec accuracy=49.812500 loss=2.161890 lr=0.016361 Epoch[153] Batch [0149]/[3760] Speed: 116.486691 samples/sec accuracy=49.687500 loss=2.172028 lr=0.016352 Epoch[153] Batch [0199]/[3760] Speed: 118.307644 samples/sec accuracy=49.757812 loss=2.172090 lr=0.016342 Epoch[153] Batch [0249]/[3760] Speed: 117.722875 samples/sec accuracy=49.606250 loss=2.187613 lr=0.016333 Epoch[153] Batch [0299]/[3760] Speed: 117.810082 samples/sec accuracy=49.843750 loss=2.185479 lr=0.016323 Epoch[153] Batch [0349]/[3760] Speed: 117.588513 samples/sec accuracy=49.946429 loss=2.180580 lr=0.016314 Epoch[153] Batch [0399]/[3760] Speed: 115.395060 samples/sec accuracy=49.992188 loss=2.180052 lr=0.016304 Epoch[153] Batch [0449]/[3760] 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accuracy=50.093750 loss=2.177147 lr=0.016209 Epoch[153] Batch [0949]/[3760] Speed: 117.684385 samples/sec accuracy=49.986842 loss=2.179124 lr=0.016199 Epoch[153] Batch [0999]/[3760] Speed: 117.070297 samples/sec accuracy=49.990625 loss=2.177207 lr=0.016190 Epoch[153] Batch [1049]/[3760] Speed: 117.987121 samples/sec accuracy=50.066964 loss=2.176064 lr=0.016180 Epoch[153] Batch [1099]/[3760] Speed: 117.085361 samples/sec accuracy=50.065341 loss=2.176606 lr=0.016171 Epoch[153] Batch [1149]/[3760] Speed: 117.667395 samples/sec accuracy=50.040761 loss=2.177528 lr=0.016161 Epoch[153] Batch [1199]/[3760] Speed: 117.633069 samples/sec accuracy=50.070312 loss=2.176453 lr=0.016152 Epoch[153] Batch [1249]/[3760] Speed: 117.367348 samples/sec accuracy=50.042500 loss=2.177630 lr=0.016142 Epoch[153] Batch [1299]/[3760] Speed: 117.079572 samples/sec accuracy=50.016827 loss=2.177843 lr=0.016133 Epoch[153] Batch [1349]/[3760] Speed: 117.743418 samples/sec accuracy=50.053241 loss=2.177619 lr=0.016123 Epoch[153] Batch [1399]/[3760] Speed: 117.908314 samples/sec accuracy=50.045759 loss=2.177736 lr=0.016114 Epoch[153] Batch [1449]/[3760] Speed: 117.484561 samples/sec accuracy=50.087284 loss=2.176219 lr=0.016104 Epoch[153] Batch [1499]/[3760] Speed: 117.163432 samples/sec accuracy=50.152083 loss=2.175399 lr=0.016095 Epoch[153] Batch [1549]/[3760] Speed: 117.695225 samples/sec accuracy=50.192540 loss=2.173889 lr=0.016086 Epoch[153] Batch [1599]/[3760] Speed: 117.652027 samples/sec accuracy=50.195312 loss=2.172984 lr=0.016076 Epoch[153] Batch [1649]/[3760] Speed: 117.765415 samples/sec accuracy=50.168561 loss=2.174522 lr=0.016067 Epoch[153] Batch [1699]/[3760] Speed: 117.383256 samples/sec accuracy=50.162684 loss=2.174827 lr=0.016057 Epoch[153] Batch [1749]/[3760] Speed: 115.520184 samples/sec accuracy=50.146429 loss=2.174442 lr=0.016048 Epoch[153] Batch [1799]/[3760] Speed: 117.401352 samples/sec accuracy=50.146701 loss=2.175123 lr=0.016038 Epoch[153] Batch [1849]/[3760] Speed: 117.234203 samples/sec accuracy=50.150338 loss=2.175057 lr=0.016029 Epoch[153] Batch [1899]/[3760] Speed: 117.573757 samples/sec accuracy=50.144737 loss=2.174634 lr=0.016019 Epoch[153] Batch [1949]/[3760] Speed: 117.578465 samples/sec accuracy=50.138622 loss=2.175422 lr=0.016010 Epoch[153] Batch [1999]/[3760] Speed: 117.310183 samples/sec accuracy=50.152344 loss=2.175250 lr=0.016000 Epoch[153] Batch [2049]/[3760] Speed: 117.797327 samples/sec accuracy=50.150915 loss=2.176215 lr=0.015991 Epoch[153] Batch [2099]/[3760] Speed: 116.325712 samples/sec accuracy=50.132440 loss=2.176617 lr=0.015981 Epoch[153] Batch [2149]/[3760] Speed: 117.483482 samples/sec accuracy=50.105378 loss=2.177631 lr=0.015972 Epoch[153] Batch [2199]/[3760] Speed: 117.915046 samples/sec accuracy=50.142045 loss=2.176308 lr=0.015962 Epoch[153] Batch [2249]/[3760] Speed: 117.503631 samples/sec accuracy=50.173611 loss=2.175032 lr=0.015953 Epoch[153] Batch [2299]/[3760] Speed: 117.296782 samples/sec accuracy=50.161005 loss=2.175261 lr=0.015944 Epoch[153] Batch [2349]/[3760] Speed: 117.720413 samples/sec accuracy=50.178191 loss=2.174862 lr=0.015934 Epoch[153] Batch [2399]/[3760] Speed: 117.031328 samples/sec accuracy=50.154948 loss=2.175861 lr=0.015925 Epoch[153] Batch [2449]/[3760] Speed: 117.754986 samples/sec accuracy=50.155612 loss=2.175628 lr=0.015915 Epoch[153] Batch [2499]/[3760] Speed: 117.241429 samples/sec accuracy=50.146250 loss=2.176269 lr=0.015906 Epoch[153] Batch [2549]/[3760] Speed: 117.595483 samples/sec accuracy=50.137255 loss=2.176258 lr=0.015896 Epoch[153] Batch [2599]/[3760] Speed: 117.838611 samples/sec accuracy=50.140625 loss=2.176265 lr=0.015887 Epoch[153] Batch [2649]/[3760] Speed: 117.329914 samples/sec accuracy=50.129127 loss=2.176686 lr=0.015878 Epoch[153] Batch [2699]/[3760] Speed: 117.417603 samples/sec accuracy=50.152199 loss=2.175917 lr=0.015868 Epoch[153] Batch [2749]/[3760] Speed: 117.902128 samples/sec accuracy=50.181250 loss=2.174535 lr=0.015859 Epoch[153] Batch [2799]/[3760] Speed: 117.571148 samples/sec accuracy=50.169643 loss=2.175092 lr=0.015849 Epoch[153] Batch [2849]/[3760] Speed: 117.594155 samples/sec accuracy=50.174342 loss=2.174775 lr=0.015840 Epoch[153] Batch [2899]/[3760] Speed: 116.715297 samples/sec accuracy=50.166487 loss=2.174616 lr=0.015830 Epoch[153] Batch [2949]/[3760] Speed: 117.472608 samples/sec accuracy=50.184852 loss=2.174407 lr=0.015821 Epoch[153] Batch [2999]/[3760] Speed: 117.693082 samples/sec accuracy=50.188021 loss=2.174787 lr=0.015812 Epoch[153] Batch [3049]/[3760] Speed: 118.287306 samples/sec accuracy=50.186475 loss=2.174736 lr=0.015802 Epoch[153] Batch [3099]/[3760] Speed: 115.292290 samples/sec accuracy=50.201613 loss=2.175125 lr=0.015793 Epoch[153] Batch [3149]/[3760] Speed: 117.565180 samples/sec accuracy=50.200893 loss=2.176007 lr=0.015783 Epoch[153] Batch [3199]/[3760] Speed: 117.837058 samples/sec accuracy=50.208984 loss=2.175743 lr=0.015774 Epoch[153] Batch [3249]/[3760] Speed: 117.499540 samples/sec accuracy=50.202404 loss=2.176049 lr=0.015765 Epoch[153] Batch [3299]/[3760] Speed: 117.362304 samples/sec accuracy=50.205966 loss=2.175744 lr=0.015755 Epoch[153] Batch [3349]/[3760] Speed: 117.665280 samples/sec accuracy=50.210821 loss=2.175526 lr=0.015746 Epoch[153] Batch [3399]/[3760] Speed: 117.475266 samples/sec accuracy=50.204504 loss=2.175691 lr=0.015736 Epoch[153] Batch [3449]/[3760] Speed: 116.987405 samples/sec accuracy=50.178442 loss=2.176814 lr=0.015727 Epoch[153] Batch [3499]/[3760] Speed: 117.799222 samples/sec accuracy=50.171875 loss=2.177362 lr=0.015718 Epoch[153] Batch [3549]/[3760] Speed: 117.792800 samples/sec accuracy=50.167694 loss=2.178048 lr=0.015708 Epoch[153] Batch [3599]/[3760] Speed: 117.103512 samples/sec accuracy=50.171875 loss=2.177726 lr=0.015699 Epoch[153] Batch [3649]/[3760] Speed: 117.222183 samples/sec accuracy=50.172089 loss=2.178204 lr=0.015689 Epoch[153] Batch [3699]/[3760] Speed: 117.299961 samples/sec accuracy=50.157517 loss=2.178235 lr=0.015680 Epoch[153] Batch [3749]/[3760] Speed: 119.978644 samples/sec accuracy=50.155833 loss=2.178190 lr=0.015671 Batch [0049]/[0303]: acc-top1=48.781250 acc-top5=72.531250 Batch [0099]/[0303]: acc-top1=46.734375 acc-top5=71.718750 Batch [0149]/[0303]: acc-top1=48.510417 acc-top5=72.968750 Batch [0199]/[0303]: acc-top1=51.585938 acc-top5=75.109375 Batch [0249]/[0303]: acc-top1=50.943750 acc-top5=74.962500 Batch [0299]/[0303]: acc-top1=50.390625 acc-top5=74.875000 [Epoch 153] training: accuracy=50.155834 loss=2.178260 [Epoch 153] speed: 116 samples/sec time cost: 2175.294101 [Epoch 153] validation: acc-top1=50.262995 acc-top5=74.804043 loss=2.244161 Epoch[154] Batch [0049]/[3759] Speed: 86.231565 samples/sec accuracy=50.906250 loss=2.110173 lr=0.015659 Epoch[154] Batch [0099]/[3759] Speed: 116.854364 samples/sec accuracy=50.406250 loss=2.130114 lr=0.015650 Epoch[154] Batch [0149]/[3759] Speed: 117.621817 samples/sec accuracy=50.635417 loss=2.129311 lr=0.015641 Epoch[154] Batch [0199]/[3759] Speed: 117.421409 samples/sec accuracy=50.195312 loss=2.131723 lr=0.015631 Epoch[154] Batch [0249]/[3759] Speed: 117.078398 samples/sec accuracy=50.250000 loss=2.132989 lr=0.015622 Epoch[154] Batch [0299]/[3759] Speed: 117.069340 samples/sec accuracy=50.651042 loss=2.120397 lr=0.015613 Epoch[154] Batch [0349]/[3759] Speed: 117.372839 samples/sec accuracy=50.678571 loss=2.127342 lr=0.015603 Epoch[154] Batch [0399]/[3759] Speed: 116.804980 samples/sec accuracy=50.886719 loss=2.126098 lr=0.015594 Epoch[154] Batch [0449]/[3759] Speed: 117.474932 samples/sec accuracy=50.746528 loss=2.132078 lr=0.015585 Epoch[154] Batch [0499]/[3759] Speed: 117.477399 samples/sec accuracy=50.759375 loss=2.130434 lr=0.015575 Epoch[154] Batch [0549]/[3759] Speed: 117.156314 samples/sec accuracy=50.752841 loss=2.132040 lr=0.015566 Epoch[154] Batch [0599]/[3759] Speed: 116.988559 samples/sec accuracy=50.747396 loss=2.132530 lr=0.015556 Epoch[154] Batch [0649]/[3759] Speed: 116.985599 samples/sec accuracy=50.930288 loss=2.124205 lr=0.015547 Epoch[154] Batch [0699]/[3759] Speed: 115.924481 samples/sec accuracy=50.823661 loss=2.127706 lr=0.015538 Epoch[154] Batch [0749]/[3759] Speed: 117.999381 samples/sec accuracy=50.752083 loss=2.132662 lr=0.015528 Epoch[154] Batch [0799]/[3759] Speed: 117.125977 samples/sec accuracy=50.775391 loss=2.134129 lr=0.015519 Epoch[154] Batch [0849]/[3759] Speed: 117.227751 samples/sec accuracy=50.733456 loss=2.136642 lr=0.015510 Epoch[154] Batch [0899]/[3759] Speed: 117.214554 samples/sec accuracy=50.756944 loss=2.135823 lr=0.015500 Epoch[154] Batch [0949]/[3759] Speed: 117.865577 samples/sec accuracy=50.753289 loss=2.137697 lr=0.015491 Epoch[154] Batch [0999]/[3759] Speed: 117.652403 samples/sec accuracy=50.720312 loss=2.140713 lr=0.015482 Epoch[154] Batch [1049]/[3759] Speed: 117.731685 samples/sec accuracy=50.705357 loss=2.141736 lr=0.015472 Epoch[154] Batch [1099]/[3759] Speed: 116.969783 samples/sec accuracy=50.671875 loss=2.143214 lr=0.015463 Epoch[154] Batch [1149]/[3759] Speed: 117.639935 samples/sec accuracy=50.633152 loss=2.144951 lr=0.015454 Epoch[154] Batch [1199]/[3759] Speed: 118.194495 samples/sec accuracy=50.606771 loss=2.146396 lr=0.015444 Epoch[154] Batch [1249]/[3759] Speed: 117.273974 samples/sec accuracy=50.580000 loss=2.148531 lr=0.015435 Epoch[154] Batch [1299]/[3759] Speed: 118.036963 samples/sec accuracy=50.573317 loss=2.149435 lr=0.015426 Epoch[154] Batch [1349]/[3759] Speed: 116.958908 samples/sec accuracy=50.585648 loss=2.149213 lr=0.015417 Epoch[154] Batch [1399]/[3759] Speed: 117.525811 samples/sec accuracy=50.631696 loss=2.147280 lr=0.015407 Epoch[154] Batch [1449]/[3759] Speed: 117.235779 samples/sec accuracy=50.663793 loss=2.146417 lr=0.015398 Epoch[154] Batch [1499]/[3759] Speed: 117.508266 samples/sec accuracy=50.673958 loss=2.145696 lr=0.015389 Epoch[154] Batch [1549]/[3759] Speed: 117.208122 samples/sec accuracy=50.632056 loss=2.147327 lr=0.015379 Epoch[154] Batch [1599]/[3759] Speed: 116.484070 samples/sec accuracy=50.640625 loss=2.148562 lr=0.015370 Epoch[154] Batch [1649]/[3759] Speed: 117.223892 samples/sec accuracy=50.656250 loss=2.148272 lr=0.015361 Epoch[154] Batch [1699]/[3759] Speed: 117.459805 samples/sec accuracy=50.659007 loss=2.149587 lr=0.015351 Epoch[154] Batch [1749]/[3759] Speed: 117.164548 samples/sec accuracy=50.682143 loss=2.150234 lr=0.015342 Epoch[154] Batch [1799]/[3759] Speed: 116.883950 samples/sec accuracy=50.671007 loss=2.150758 lr=0.015333 Epoch[154] Batch [1849]/[3759] Speed: 116.966465 samples/sec accuracy=50.654561 loss=2.151688 lr=0.015323 Epoch[154] Batch [1899]/[3759] Speed: 117.610567 samples/sec accuracy=50.651316 loss=2.151750 lr=0.015314 Epoch[154] Batch [1949]/[3759] Speed: 116.920862 samples/sec accuracy=50.630609 loss=2.152759 lr=0.015305 Epoch[154] Batch [1999]/[3759] Speed: 116.884335 samples/sec accuracy=50.621875 loss=2.153371 lr=0.015296 Epoch[154] Batch [2049]/[3759] Speed: 114.866326 samples/sec accuracy=50.625762 loss=2.152215 lr=0.015286 Epoch[154] Batch [2099]/[3759] Speed: 116.955116 samples/sec accuracy=50.662202 loss=2.151758 lr=0.015277 Epoch[154] Batch [2149]/[3759] Speed: 117.193909 samples/sec accuracy=50.661337 loss=2.152622 lr=0.015268 Epoch[154] Batch [2199]/[3759] Speed: 117.475808 samples/sec accuracy=50.635653 loss=2.153755 lr=0.015258 Epoch[154] Batch [2249]/[3759] Speed: 118.314708 samples/sec accuracy=50.642361 loss=2.153613 lr=0.015249 Epoch[154] Batch [2299]/[3759] Speed: 117.597760 samples/sec accuracy=50.650136 loss=2.154436 lr=0.015240 Epoch[154] Batch [2349]/[3759] Speed: 117.006871 samples/sec accuracy=50.648936 loss=2.153922 lr=0.015231 Epoch[154] Batch [2399]/[3759] Speed: 117.481228 samples/sec accuracy=50.638021 loss=2.154572 lr=0.015221 Epoch[154] Batch [2449]/[3759] Speed: 117.079883 samples/sec accuracy=50.633291 loss=2.154731 lr=0.015212 Epoch[154] Batch [2499]/[3759] Speed: 117.275121 samples/sec accuracy=50.596875 loss=2.155952 lr=0.015203 Epoch[154] Batch [2549]/[3759] Speed: 117.099226 samples/sec accuracy=50.597426 loss=2.156388 lr=0.015194 Epoch[154] Batch [2599]/[3759] Speed: 117.662563 samples/sec accuracy=50.581731 loss=2.157373 lr=0.015184 Epoch[154] Batch [2649]/[3759] Speed: 117.807284 samples/sec accuracy=50.573703 loss=2.157477 lr=0.015175 Epoch[154] Batch [2699]/[3759] Speed: 117.877623 samples/sec accuracy=50.592593 loss=2.156922 lr=0.015166 Epoch[154] Batch [2749]/[3759] Speed: 117.560422 samples/sec accuracy=50.572159 loss=2.157253 lr=0.015157 Epoch[154] Batch [2799]/[3759] Speed: 118.267730 samples/sec accuracy=50.524554 loss=2.158964 lr=0.015147 Epoch[154] Batch [2849]/[3759] Speed: 118.047534 samples/sec accuracy=50.560855 loss=2.156759 lr=0.015138 Epoch[154] Batch [2899]/[3759] Speed: 117.843983 samples/sec accuracy=50.551185 loss=2.157449 lr=0.015129 Epoch[154] Batch [2949]/[3759] Speed: 117.820733 samples/sec accuracy=50.566208 loss=2.157356 lr=0.015120 Epoch[154] Batch [2999]/[3759] Speed: 117.844510 samples/sec accuracy=50.568229 loss=2.157311 lr=0.015110 Epoch[154] Batch [3049]/[3759] Speed: 117.347666 samples/sec accuracy=50.557377 loss=2.157441 lr=0.015101 Epoch[154] Batch [3099]/[3759] Speed: 117.378402 samples/sec accuracy=50.552923 loss=2.157237 lr=0.015092 Epoch[154] Batch [3149]/[3759] Speed: 117.792650 samples/sec accuracy=50.564484 loss=2.156439 lr=0.015083 Epoch[154] Batch [3199]/[3759] Speed: 116.998546 samples/sec accuracy=50.542480 loss=2.156961 lr=0.015073 Epoch[154] Batch [3249]/[3759] Speed: 117.659732 samples/sec accuracy=50.548558 loss=2.157228 lr=0.015064 Epoch[154] Batch [3299]/[3759] Speed: 117.549955 samples/sec accuracy=50.535511 loss=2.158551 lr=0.015055 Epoch[154] Batch [3349]/[3759] Speed: 117.745456 samples/sec accuracy=50.520056 loss=2.159139 lr=0.015046 Epoch[154] Batch [3399]/[3759] Speed: 115.564919 samples/sec accuracy=50.534467 loss=2.158948 lr=0.015037 Epoch[154] Batch [3449]/[3759] Speed: 117.613309 samples/sec accuracy=50.519928 loss=2.160024 lr=0.015027 Epoch[154] Batch [3499]/[3759] Speed: 117.142557 samples/sec accuracy=50.509375 loss=2.160422 lr=0.015018 Epoch[154] Batch [3549]/[3759] Speed: 117.023058 samples/sec accuracy=50.525088 loss=2.160155 lr=0.015009 Epoch[154] Batch [3599]/[3759] Speed: 118.237714 samples/sec accuracy=50.520833 loss=2.160085 lr=0.015000 Epoch[154] Batch [3649]/[3759] Speed: 117.808862 samples/sec accuracy=50.509418 loss=2.159935 lr=0.014990 Epoch[154] Batch [3699]/[3759] Speed: 117.779107 samples/sec accuracy=50.515625 loss=2.160047 lr=0.014981 Epoch[154] Batch [3749]/[3759] Speed: 120.706522 samples/sec accuracy=50.498333 loss=2.161039 lr=0.014972 Batch [0049]/[0303]: acc-top1=52.093750 acc-top5=75.718750 Batch [0099]/[0303]: acc-top1=48.593750 acc-top5=73.453125 Batch [0149]/[0303]: acc-top1=49.979167 acc-top5=74.166667 Batch [0199]/[0303]: acc-top1=52.515625 acc-top5=76.000000 Batch [0249]/[0303]: acc-top1=51.718750 acc-top5=75.656250 Batch [0299]/[0303]: acc-top1=51.192708 acc-top5=75.786458 [Epoch 154] training: accuracy=50.497972 loss=2.161160 [Epoch 154] speed: 116 samples/sec time cost: 2176.686934 [Epoch 154] validation: acc-top1=51.149959 acc-top5=75.783828 loss=2.196522 Epoch[155] Batch [0049]/[3760] Speed: 87.568151 samples/sec accuracy=51.906250 loss=2.129714 lr=0.014961 Epoch[155] Batch [0099]/[3760] Speed: 117.309269 samples/sec accuracy=51.234375 loss=2.139921 lr=0.014952 Epoch[155] Batch [0149]/[3760] Speed: 117.728738 samples/sec accuracy=52.062500 loss=2.104381 lr=0.014943 Epoch[155] Batch [0199]/[3760] Speed: 116.877712 samples/sec accuracy=52.156250 loss=2.096067 lr=0.014934 Epoch[155] Batch [0249]/[3760] Speed: 117.329104 samples/sec accuracy=51.831250 loss=2.100678 lr=0.014924 Epoch[155] Batch [0299]/[3760] Speed: 117.535546 samples/sec accuracy=51.635417 loss=2.107508 lr=0.014915 Epoch[155] Batch [0349]/[3760] Speed: 116.874875 samples/sec accuracy=51.691964 loss=2.105747 lr=0.014906 Epoch[155] Batch [0399]/[3760] Speed: 117.518293 samples/sec accuracy=51.730469 loss=2.106119 lr=0.014897 Epoch[155] Batch [0449]/[3760] Speed: 117.702076 samples/sec accuracy=51.708333 loss=2.109722 lr=0.014888 Epoch[155] Batch [0499]/[3760] Speed: 118.158495 samples/sec accuracy=51.793750 loss=2.106486 lr=0.014878 Epoch[155] Batch [0549]/[3760] Speed: 117.182611 samples/sec accuracy=51.863636 loss=2.107270 lr=0.014869 Epoch[155] Batch [0599]/[3760] Speed: 118.122551 samples/sec accuracy=51.833333 loss=2.106311 lr=0.014860 Epoch[155] Batch [0649]/[3760] Speed: 117.722322 samples/sec accuracy=51.747596 loss=2.111898 lr=0.014851 Epoch[155] Batch [0699]/[3760] Speed: 117.379919 samples/sec accuracy=51.747768 loss=2.109507 lr=0.014842 Epoch[155] Batch [0749]/[3760] Speed: 117.644458 samples/sec accuracy=51.714583 loss=2.111177 lr=0.014833 Epoch[155] Batch [0799]/[3760] Speed: 116.992580 samples/sec accuracy=51.675781 loss=2.114825 lr=0.014823 Epoch[155] Batch [0849]/[3760] Speed: 117.142895 samples/sec accuracy=51.602941 loss=2.113229 lr=0.014814 Epoch[155] Batch [0899]/[3760] Speed: 116.686930 samples/sec accuracy=51.600694 loss=2.113388 lr=0.014805 Epoch[155] Batch [0949]/[3760] Speed: 114.891908 samples/sec accuracy=51.534539 loss=2.114930 lr=0.014796 Epoch[155] Batch [0999]/[3760] Speed: 117.563325 samples/sec accuracy=51.492188 loss=2.117050 lr=0.014787 Epoch[155] Batch [1049]/[3760] Speed: 117.330215 samples/sec accuracy=51.483631 loss=2.116956 lr=0.014778 Epoch[155] Batch [1099]/[3760] Speed: 117.310710 samples/sec accuracy=51.528409 loss=2.114647 lr=0.014768 Epoch[155] Batch [1149]/[3760] Speed: 117.558389 samples/sec accuracy=51.547554 loss=2.114172 lr=0.014759 Epoch[155] Batch [1199]/[3760] Speed: 116.856748 samples/sec accuracy=51.492188 loss=2.116221 lr=0.014750 Epoch[155] Batch [1249]/[3760] Speed: 117.710824 samples/sec accuracy=51.517500 loss=2.114938 lr=0.014741 Epoch[155] Batch [1299]/[3760] Speed: 117.583122 samples/sec accuracy=51.495192 loss=2.116866 lr=0.014732 Epoch[155] Batch [1349]/[3760] Speed: 117.271625 samples/sec accuracy=51.409722 loss=2.118851 lr=0.014723 Epoch[155] Batch [1399]/[3760] Speed: 119.019636 samples/sec accuracy=51.373884 loss=2.120611 lr=0.014714 Epoch[155] Batch [1449]/[3760] Speed: 117.633297 samples/sec accuracy=51.342672 loss=2.121751 lr=0.014704 Epoch[155] Batch [1499]/[3760] Speed: 117.504544 samples/sec accuracy=51.416667 loss=2.119216 lr=0.014695 Epoch[155] Batch [1549]/[3760] Speed: 117.155841 samples/sec accuracy=51.412298 loss=2.119229 lr=0.014686 Epoch[155] Batch [1599]/[3760] Speed: 117.774718 samples/sec accuracy=51.389648 loss=2.119581 lr=0.014677 Epoch[155] Batch [1649]/[3760] Speed: 117.790187 samples/sec accuracy=51.388258 loss=2.120114 lr=0.014668 Epoch[155] Batch [1699]/[3760] Speed: 117.116604 samples/sec accuracy=51.368566 loss=2.120332 lr=0.014659 Epoch[155] Batch [1749]/[3760] Speed: 118.019425 samples/sec accuracy=51.338393 loss=2.120171 lr=0.014650 Epoch[155] Batch [1799]/[3760] Speed: 117.387166 samples/sec accuracy=51.328125 loss=2.121513 lr=0.014641 Epoch[155] Batch [1849]/[3760] Speed: 117.470176 samples/sec accuracy=51.352196 loss=2.121283 lr=0.014631 Epoch[155] Batch [1899]/[3760] Speed: 117.598675 samples/sec accuracy=51.353618 loss=2.120994 lr=0.014622 Epoch[155] Batch [1949]/[3760] Speed: 117.447461 samples/sec accuracy=51.347756 loss=2.121671 lr=0.014613 Epoch[155] Batch [1999]/[3760] Speed: 117.706283 samples/sec accuracy=51.357813 loss=2.121186 lr=0.014604 Epoch[155] Batch [2049]/[3760] Speed: 117.736401 samples/sec accuracy=51.307927 loss=2.122756 lr=0.014595 Epoch[155] Batch [2099]/[3760] Speed: 117.614710 samples/sec accuracy=51.301339 loss=2.123270 lr=0.014586 Epoch[155] Batch [2149]/[3760] Speed: 116.831528 samples/sec accuracy=51.239099 loss=2.124738 lr=0.014577 Epoch[155] Batch [2199]/[3760] Speed: 117.473414 samples/sec accuracy=51.191761 loss=2.128092 lr=0.014568 Epoch[155] Batch [2249]/[3760] Speed: 117.227227 samples/sec accuracy=51.218056 loss=2.127597 lr=0.014559 Epoch[155] Batch 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accuracy=51.181250 loss=2.132394 lr=0.014468 Epoch[155] Batch [2799]/[3760] Speed: 117.544145 samples/sec accuracy=51.198661 loss=2.130731 lr=0.014459 Epoch[155] Batch [2849]/[3760] Speed: 117.358408 samples/sec accuracy=51.213816 loss=2.130430 lr=0.014450 Epoch[155] Batch [2899]/[3760] Speed: 117.077347 samples/sec accuracy=51.203664 loss=2.130344 lr=0.014441 Epoch[155] Batch [2949]/[3760] Speed: 117.393117 samples/sec accuracy=51.175318 loss=2.131889 lr=0.014431 Epoch[155] Batch [2999]/[3760] Speed: 118.253359 samples/sec accuracy=51.158333 loss=2.131887 lr=0.014422 Epoch[155] Batch [3049]/[3760] Speed: 117.417630 samples/sec accuracy=51.165984 loss=2.131203 lr=0.014413 Epoch[155] Batch [3099]/[3760] Speed: 117.387869 samples/sec accuracy=51.193548 loss=2.130196 lr=0.014404 Epoch[155] Batch [3149]/[3760] Speed: 116.986762 samples/sec accuracy=51.167163 loss=2.131615 lr=0.014395 Epoch[155] Batch [3199]/[3760] Speed: 117.719574 samples/sec accuracy=51.185547 loss=2.130579 lr=0.014386 Epoch[155] Batch [3249]/[3760] Speed: 117.694494 samples/sec accuracy=51.151442 loss=2.131370 lr=0.014377 Epoch[155] Batch [3299]/[3760] Speed: 117.520431 samples/sec accuracy=51.142519 loss=2.131855 lr=0.014368 Epoch[155] Batch [3349]/[3760] Speed: 117.159892 samples/sec accuracy=51.168377 loss=2.130467 lr=0.014359 Epoch[155] Batch [3399]/[3760] Speed: 117.511547 samples/sec accuracy=51.187960 loss=2.130615 lr=0.014350 Epoch[155] Batch [3449]/[3760] Speed: 117.764285 samples/sec accuracy=51.185236 loss=2.130547 lr=0.014341 Epoch[155] Batch [3499]/[3760] Speed: 117.243679 samples/sec accuracy=51.197321 loss=2.130702 lr=0.014332 Epoch[155] Batch [3549]/[3760] Speed: 117.533480 samples/sec accuracy=51.188820 loss=2.131265 lr=0.014323 Epoch[155] Batch [3599]/[3760] Speed: 115.121681 samples/sec accuracy=51.171875 loss=2.132319 lr=0.014314 Epoch[155] Batch [3649]/[3760] Speed: 117.864526 samples/sec accuracy=51.184075 loss=2.132677 lr=0.014305 Epoch[155] Batch [3699]/[3760] Speed: 117.822438 samples/sec accuracy=51.167230 loss=2.133407 lr=0.014296 Epoch[155] Batch [3749]/[3760] Speed: 119.920381 samples/sec accuracy=51.161667 loss=2.133547 lr=0.014287 Batch [0049]/[0303]: acc-top1=51.531250 acc-top5=73.500000 Batch [0099]/[0303]: acc-top1=48.781250 acc-top5=72.718750 Batch [0149]/[0303]: acc-top1=50.062500 acc-top5=73.562500 Batch [0199]/[0303]: acc-top1=52.914062 acc-top5=75.320312 Batch [0249]/[0303]: acc-top1=52.112500 acc-top5=74.975000 Batch [0299]/[0303]: acc-top1=51.817708 acc-top5=75.213542 [Epoch 155] training: accuracy=51.164395 loss=2.133418 [Epoch 155] speed: 116 samples/sec time cost: 2175.815996 [Epoch 155] validation: acc-top1=51.742987 acc-top5=75.242368 loss=2.216556 Epoch[156] Batch [0049]/[3760] Speed: 87.610866 samples/sec accuracy=52.875000 loss=2.073863 lr=0.014276 Epoch[156] Batch [0099]/[3760] Speed: 117.352948 samples/sec accuracy=52.500000 loss=2.063570 lr=0.014267 Epoch[156] Batch [0149]/[3760] Speed: 117.570211 samples/sec accuracy=52.354167 loss=2.085503 lr=0.014258 Epoch[156] Batch [0199]/[3760] Speed: 117.725667 samples/sec accuracy=51.835937 loss=2.100597 lr=0.014249 Epoch[156] Batch [0249]/[3760] Speed: 117.761025 samples/sec accuracy=51.650000 loss=2.105735 lr=0.014240 Epoch[156] Batch [0299]/[3760] Speed: 117.726378 samples/sec accuracy=51.661458 loss=2.105411 lr=0.014231 Epoch[156] Batch [0349]/[3760] Speed: 117.476334 samples/sec accuracy=51.745536 loss=2.100625 lr=0.014222 Epoch[156] Batch [0399]/[3760] Speed: 117.432966 samples/sec accuracy=51.800781 loss=2.095727 lr=0.014213 Epoch[156] Batch [0449]/[3760] Speed: 117.741926 samples/sec accuracy=51.843750 loss=2.093985 lr=0.014204 Epoch[156] Batch [0499]/[3760] Speed: 117.633413 samples/sec accuracy=51.821875 loss=2.093213 lr=0.014195 Epoch[156] Batch [0549]/[3760] Speed: 117.591267 samples/sec accuracy=51.786932 loss=2.098884 lr=0.014186 Epoch[156] Batch [0599]/[3760] Speed: 117.890343 samples/sec accuracy=51.687500 loss=2.104721 lr=0.014177 Epoch[156] Batch [0649]/[3760] Speed: 117.935844 samples/sec accuracy=51.649038 loss=2.103692 lr=0.014168 Epoch[156] Batch [0699]/[3760] Speed: 117.473446 samples/sec accuracy=51.720982 loss=2.103822 lr=0.014159 Epoch[156] Batch [0749]/[3760] Speed: 118.397741 samples/sec accuracy=51.739583 loss=2.102856 lr=0.014150 Epoch[156] Batch [0799]/[3760] Speed: 117.259183 samples/sec accuracy=51.796875 loss=2.101180 lr=0.014141 Epoch[156] Batch [0849]/[3760] Speed: 117.897938 samples/sec accuracy=51.851103 loss=2.099660 lr=0.014132 Epoch[156] Batch [0899]/[3760] Speed: 118.195094 samples/sec accuracy=51.840278 loss=2.100823 lr=0.014123 Epoch[156] Batch [0949]/[3760] Speed: 117.506582 samples/sec accuracy=51.777961 loss=2.103488 lr=0.014114 Epoch[156] Batch [0999]/[3760] Speed: 117.287998 samples/sec accuracy=51.709375 loss=2.108053 lr=0.014105 Epoch[156] Batch [1049]/[3760] Speed: 115.500970 samples/sec accuracy=51.717262 loss=2.108184 lr=0.014096 Epoch[156] Batch [1099]/[3760] Speed: 117.998332 samples/sec accuracy=51.701705 loss=2.109902 lr=0.014087 Epoch[156] Batch [1149]/[3760] Speed: 117.658293 samples/sec accuracy=51.686141 loss=2.112530 lr=0.014078 Epoch[156] Batch [1199]/[3760] Speed: 117.244276 samples/sec accuracy=51.652344 loss=2.113683 lr=0.014069 Epoch[156] Batch [1249]/[3760] Speed: 117.693347 samples/sec accuracy=51.590000 loss=2.114788 lr=0.014060 Epoch[156] Batch [1299]/[3760] Speed: 117.368746 samples/sec accuracy=51.572115 loss=2.115737 lr=0.014051 Epoch[156] Batch [1349]/[3760] Speed: 117.686149 samples/sec accuracy=51.579861 loss=2.115882 lr=0.014042 Epoch[156] Batch [1399]/[3760] Speed: 117.208213 samples/sec accuracy=51.581473 loss=2.116393 lr=0.014033 Epoch[156] Batch [1449]/[3760] Speed: 117.491924 samples/sec accuracy=51.525862 loss=2.117519 lr=0.014024 Epoch[156] Batch [1499]/[3760] Speed: 117.107128 samples/sec accuracy=51.528125 loss=2.116238 lr=0.014015 Epoch[156] Batch [1549]/[3760] Speed: 117.579693 samples/sec accuracy=51.540323 loss=2.116157 lr=0.014006 Epoch[156] Batch [1599]/[3760] Speed: 118.038870 samples/sec accuracy=51.536133 loss=2.116185 lr=0.013997 Epoch[156] Batch [1649]/[3760] Speed: 116.683032 samples/sec accuracy=51.567235 loss=2.114378 lr=0.013988 Epoch[156] Batch [1699]/[3760] Speed: 117.449396 samples/sec accuracy=51.574449 loss=2.113224 lr=0.013979 Epoch[156] Batch [1749]/[3760] Speed: 116.825958 samples/sec accuracy=51.545536 loss=2.113795 lr=0.013971 Epoch[156] Batch [1799]/[3760] Speed: 117.714531 samples/sec accuracy=51.559028 loss=2.113293 lr=0.013962 Epoch[156] Batch [1849]/[3760] Speed: 118.675789 samples/sec accuracy=51.543919 loss=2.114829 lr=0.013953 Epoch[156] Batch [1899]/[3760] Speed: 117.999757 samples/sec accuracy=51.559211 loss=2.114611 lr=0.013944 Epoch[156] Batch [1949]/[3760] Speed: 117.776003 samples/sec accuracy=51.568910 loss=2.114138 lr=0.013935 Epoch[156] Batch [1999]/[3760] Speed: 117.439704 samples/sec accuracy=51.574219 loss=2.114102 lr=0.013926 Epoch[156] Batch [2049]/[3760] Speed: 117.563503 samples/sec accuracy=51.544207 loss=2.114866 lr=0.013917 Epoch[156] Batch [2099]/[3760] Speed: 118.335873 samples/sec accuracy=51.523810 loss=2.116464 lr=0.013908 Epoch[156] Batch [2149]/[3760] Speed: 117.700761 samples/sec accuracy=51.535610 loss=2.115993 lr=0.013899 Epoch[156] Batch [2199]/[3760] Speed: 118.002319 samples/sec accuracy=51.519176 loss=2.116958 lr=0.013890 Epoch[156] Batch [2249]/[3760] Speed: 117.967879 samples/sec accuracy=51.537500 loss=2.116638 lr=0.013881 Epoch[156] Batch [2299]/[3760] Speed: 117.575274 samples/sec accuracy=51.559103 loss=2.116461 lr=0.013872 Epoch[156] Batch [2349]/[3760] Speed: 118.098942 samples/sec accuracy=51.533910 loss=2.117900 lr=0.013863 Epoch[156] Batch [2399]/[3760] Speed: 115.771864 samples/sec accuracy=51.545573 loss=2.118101 lr=0.013854 Epoch[156] Batch [2449]/[3760] Speed: 117.265580 samples/sec accuracy=51.552934 loss=2.117775 lr=0.013846 Epoch[156] Batch [2499]/[3760] Speed: 117.573779 samples/sec accuracy=51.574375 loss=2.116232 lr=0.013837 Epoch[156] Batch [2549]/[3760] Speed: 117.586311 samples/sec accuracy=51.560049 loss=2.116068 lr=0.013828 Epoch[156] Batch [2599]/[3760] Speed: 116.465244 samples/sec accuracy=51.556490 loss=2.116666 lr=0.013819 Epoch[156] Batch [2649]/[3760] Speed: 117.750064 samples/sec accuracy=51.579599 loss=2.115546 lr=0.013810 Epoch[156] Batch [2699]/[3760] Speed: 118.016776 samples/sec accuracy=51.560185 loss=2.116035 lr=0.013801 Epoch[156] Batch [2749]/[3760] Speed: 117.213752 samples/sec accuracy=51.537500 loss=2.117237 lr=0.013792 Epoch[156] Batch [2799]/[3760] Speed: 117.293755 samples/sec accuracy=51.544643 loss=2.116546 lr=0.013783 Epoch[156] Batch [2849]/[3760] Speed: 117.709265 samples/sec accuracy=51.537281 loss=2.116588 lr=0.013774 Epoch[156] Batch [2899]/[3760] Speed: 117.435052 samples/sec accuracy=51.514009 loss=2.117861 lr=0.013765 Epoch[156] Batch [2949]/[3760] Speed: 118.346933 samples/sec accuracy=51.517479 loss=2.117809 lr=0.013757 Epoch[156] Batch [2999]/[3760] Speed: 117.369713 samples/sec accuracy=51.529688 loss=2.117574 lr=0.013748 Epoch[156] Batch [3049]/[3760] Speed: 117.747217 samples/sec accuracy=51.562500 loss=2.115882 lr=0.013739 Epoch[156] Batch [3099]/[3760] Speed: 117.482990 samples/sec accuracy=51.531754 loss=2.117280 lr=0.013730 Epoch[156] Batch [3149]/[3760] Speed: 117.736419 samples/sec accuracy=51.502976 loss=2.118399 lr=0.013721 Epoch[156] Batch [3199]/[3760] Speed: 117.439188 samples/sec accuracy=51.509766 loss=2.118024 lr=0.013712 Epoch[156] Batch [3249]/[3760] Speed: 117.791976 samples/sec accuracy=51.505769 loss=2.117832 lr=0.013703 Epoch[156] Batch [3299]/[3760] Speed: 117.870351 samples/sec accuracy=51.517992 loss=2.117584 lr=0.013694 Epoch[156] Batch [3349]/[3760] Speed: 117.322797 samples/sec accuracy=51.506530 loss=2.117245 lr=0.013686 Epoch[156] Batch [3399]/[3760] Speed: 117.267044 samples/sec accuracy=51.523438 loss=2.116090 lr=0.013677 Epoch[156] Batch [3449]/[3760] Speed: 118.161044 samples/sec accuracy=51.524457 loss=2.116072 lr=0.013668 Epoch[156] Batch [3499]/[3760] Speed: 117.784210 samples/sec accuracy=51.499554 loss=2.116161 lr=0.013659 Epoch[156] Batch [3549]/[3760] Speed: 116.755605 samples/sec accuracy=51.514085 loss=2.115118 lr=0.013650 Epoch[156] Batch [3599]/[3760] Speed: 117.999228 samples/sec accuracy=51.509549 loss=2.115010 lr=0.013641 Epoch[156] Batch [3649]/[3760] Speed: 117.028389 samples/sec accuracy=51.527397 loss=2.114548 lr=0.013632 Epoch[156] Batch [3699]/[3760] Speed: 117.359843 samples/sec accuracy=51.495777 loss=2.115552 lr=0.013624 Epoch[156] Batch [3749]/[3760] Speed: 118.348485 samples/sec accuracy=51.506667 loss=2.114885 lr=0.013615 Batch [0049]/[0303]: acc-top1=49.875000 acc-top5=72.906250 Batch [0099]/[0303]: acc-top1=48.000000 acc-top5=72.718750 Batch [0149]/[0303]: acc-top1=49.958333 acc-top5=73.760417 Batch [0199]/[0303]: acc-top1=53.054688 acc-top5=75.773438 Batch [0249]/[0303]: acc-top1=51.806250 acc-top5=75.187500 Batch [0299]/[0303]: acc-top1=51.026042 acc-top5=75.052083 [Epoch 156] training: accuracy=51.497257 loss=2.115337 [Epoch 156] speed: 117 samples/sec time cost: 2172.584457 [Epoch 156] validation: acc-top1=50.943688 acc-top5=75.030941 loss=2.247844 Epoch[157] Batch [0049]/[3759] Speed: 87.913801 samples/sec accuracy=50.968750 loss=2.123201 lr=0.013604 Epoch[157] Batch [0099]/[3759] Speed: 118.186775 samples/sec accuracy=51.250000 loss=2.102196 lr=0.013595 Epoch[157] Batch [0149]/[3759] Speed: 117.383446 samples/sec accuracy=51.812500 loss=2.093595 lr=0.013586 Epoch[157] Batch [0199]/[3759] Speed: 117.211185 samples/sec accuracy=52.125000 loss=2.082592 lr=0.013578 Epoch[157] Batch [0249]/[3759] Speed: 116.834612 samples/sec accuracy=52.350000 loss=2.073389 lr=0.013569 Epoch[157] Batch [0299]/[3759] Speed: 117.799070 samples/sec accuracy=52.421875 loss=2.073113 lr=0.013560 Epoch[157] Batch [0349]/[3759] Speed: 117.742596 samples/sec accuracy=52.406250 loss=2.067670 lr=0.013551 Epoch[157] 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samples/sec accuracy=52.363971 loss=2.078507 lr=0.013463 Epoch[157] Batch [0899]/[3759] Speed: 118.018239 samples/sec accuracy=52.428819 loss=2.075857 lr=0.013454 Epoch[157] Batch [0949]/[3759] Speed: 117.227621 samples/sec accuracy=52.463816 loss=2.075821 lr=0.013445 Epoch[157] Batch [0999]/[3759] Speed: 117.336291 samples/sec accuracy=52.492188 loss=2.073628 lr=0.013437 Epoch[157] Batch [1049]/[3759] Speed: 116.900065 samples/sec accuracy=52.468750 loss=2.076899 lr=0.013428 Epoch[157] Batch [1099]/[3759] Speed: 116.853222 samples/sec accuracy=52.458807 loss=2.076414 lr=0.013419 Epoch[157] Batch [1149]/[3759] Speed: 115.748956 samples/sec accuracy=52.396739 loss=2.078643 lr=0.013410 Epoch[157] Batch [1199]/[3759] Speed: 116.563658 samples/sec accuracy=52.369792 loss=2.079647 lr=0.013401 Epoch[157] Batch [1249]/[3759] Speed: 117.666990 samples/sec accuracy=52.258750 loss=2.082075 lr=0.013393 Epoch[157] Batch [1299]/[3759] Speed: 117.380829 samples/sec accuracy=52.287260 loss=2.080535 lr=0.013384 Epoch[157] Batch [1349]/[3759] Speed: 116.358993 samples/sec accuracy=52.310185 loss=2.080104 lr=0.013375 Epoch[157] Batch [1399]/[3759] Speed: 117.619796 samples/sec accuracy=52.302455 loss=2.079930 lr=0.013366 Epoch[157] Batch [1449]/[3759] Speed: 117.333284 samples/sec accuracy=52.290948 loss=2.080179 lr=0.013357 Epoch[157] Batch [1499]/[3759] Speed: 116.770018 samples/sec accuracy=52.247917 loss=2.082388 lr=0.013349 Epoch[157] Batch [1549]/[3759] Speed: 117.194454 samples/sec accuracy=52.218750 loss=2.082364 lr=0.013340 Epoch[157] Batch [1599]/[3759] Speed: 117.450304 samples/sec accuracy=52.223633 loss=2.082039 lr=0.013331 Epoch[157] Batch [1649]/[3759] Speed: 117.928232 samples/sec accuracy=52.187500 loss=2.081385 lr=0.013322 Epoch[157] Batch [1699]/[3759] Speed: 117.221723 samples/sec accuracy=52.187500 loss=2.081083 lr=0.013314 Epoch[157] Batch [1749]/[3759] Speed: 117.923284 samples/sec accuracy=52.167857 loss=2.081573 lr=0.013305 Epoch[157] Batch [1799]/[3759] Speed: 117.315078 samples/sec accuracy=52.144965 loss=2.081568 lr=0.013296 Epoch[157] Batch [1849]/[3759] Speed: 117.496879 samples/sec accuracy=52.119932 loss=2.083145 lr=0.013287 Epoch[157] Batch [1899]/[3759] Speed: 117.666834 samples/sec accuracy=52.111842 loss=2.082621 lr=0.013279 Epoch[157] Batch [1949]/[3759] Speed: 116.534318 samples/sec accuracy=52.125000 loss=2.082668 lr=0.013270 Epoch[157] Batch [1999]/[3759] Speed: 117.223291 samples/sec accuracy=52.145312 loss=2.081843 lr=0.013261 Epoch[157] Batch [2049]/[3759] Speed: 117.586693 samples/sec accuracy=52.096799 loss=2.082940 lr=0.013252 Epoch[157] Batch [2099]/[3759] Speed: 118.008013 samples/sec accuracy=52.092262 loss=2.084003 lr=0.013244 Epoch[157] Batch [2149]/[3759] Speed: 118.244212 samples/sec accuracy=52.119913 loss=2.083725 lr=0.013235 Epoch[157] Batch [2199]/[3759] Speed: 117.965533 samples/sec accuracy=52.091619 loss=2.084278 lr=0.013226 Epoch[157] Batch [2249]/[3759] Speed: 117.481682 samples/sec accuracy=52.079167 loss=2.085082 lr=0.013217 Epoch[157] Batch [2299]/[3759] Speed: 116.942262 samples/sec accuracy=52.096467 loss=2.085206 lr=0.013209 Epoch[157] Batch [2349]/[3759] Speed: 117.990780 samples/sec accuracy=52.119681 loss=2.084057 lr=0.013200 Epoch[157] Batch [2399]/[3759] Speed: 118.320678 samples/sec accuracy=52.083333 loss=2.085588 lr=0.013191 Epoch[157] Batch [2449]/[3759] Speed: 117.081346 samples/sec accuracy=52.049745 loss=2.086617 lr=0.013182 Epoch[157] Batch [2499]/[3759] Speed: 114.960807 samples/sec accuracy=52.039375 loss=2.086419 lr=0.013174 Epoch[157] Batch [2549]/[3759] Speed: 117.278541 samples/sec accuracy=52.030637 loss=2.087088 lr=0.013165 Epoch[157] Batch [2599]/[3759] Speed: 118.244516 samples/sec accuracy=52.020433 loss=2.087683 lr=0.013156 Epoch[157] Batch [2649]/[3759] Speed: 118.079756 samples/sec accuracy=52.008255 loss=2.088135 lr=0.013148 Epoch[157] Batch [2699]/[3759] Speed: 117.542449 samples/sec accuracy=52.016204 loss=2.087824 lr=0.013139 Epoch[157] Batch [2749]/[3759] Speed: 118.096337 samples/sec accuracy=52.006818 loss=2.088135 lr=0.013130 Epoch[157] Batch [2799]/[3759] Speed: 118.647259 samples/sec accuracy=52.003906 loss=2.088001 lr=0.013121 Epoch[157] Batch [2849]/[3759] Speed: 117.259091 samples/sec accuracy=52.000548 loss=2.087980 lr=0.013113 Epoch[157] Batch [2899]/[3759] Speed: 116.854327 samples/sec accuracy=52.007543 loss=2.087112 lr=0.013104 Epoch[157] Batch [2949]/[3759] Speed: 117.979173 samples/sec accuracy=52.012712 loss=2.087392 lr=0.013095 Epoch[157] Batch [2999]/[3759] Speed: 117.522803 samples/sec accuracy=51.982292 loss=2.088293 lr=0.013087 Epoch[157] Batch [3049]/[3759] Speed: 118.197018 samples/sec accuracy=51.975410 loss=2.088430 lr=0.013078 Epoch[157] Batch [3099]/[3759] Speed: 117.085475 samples/sec accuracy=51.967742 loss=2.088255 lr=0.013069 Epoch[157] Batch [3149]/[3759] Speed: 118.493118 samples/sec accuracy=51.956845 loss=2.088519 lr=0.013061 Epoch[157] Batch [3199]/[3759] Speed: 117.428170 samples/sec accuracy=51.952148 loss=2.089336 lr=0.013052 Epoch[157] Batch [3249]/[3759] Speed: 117.524666 samples/sec accuracy=51.964423 loss=2.089715 lr=0.013043 Epoch[157] Batch [3299]/[3759] Speed: 117.702150 samples/sec accuracy=51.950284 loss=2.090823 lr=0.013034 Epoch[157] Batch [3349]/[3759] Speed: 117.356963 samples/sec accuracy=51.948228 loss=2.090841 lr=0.013026 Epoch[157] Batch [3399]/[3759] Speed: 117.612352 samples/sec accuracy=51.934283 loss=2.090674 lr=0.013017 Epoch[157] Batch [3449]/[3759] Speed: 118.095340 samples/sec accuracy=51.918931 loss=2.091354 lr=0.013008 Epoch[157] Batch [3499]/[3759] Speed: 117.443932 samples/sec accuracy=51.907143 loss=2.092128 lr=0.013000 Epoch[157] Batch [3549]/[3759] Speed: 118.325606 samples/sec accuracy=51.909331 loss=2.092105 lr=0.012991 Epoch[157] Batch [3599]/[3759] Speed: 117.432735 samples/sec accuracy=51.931424 loss=2.091163 lr=0.012982 Epoch[157] Batch [3649]/[3759] Speed: 118.140385 samples/sec accuracy=51.936216 loss=2.090959 lr=0.012974 Epoch[157] Batch [3699]/[3759] Speed: 117.555293 samples/sec accuracy=51.948480 loss=2.090122 lr=0.012965 Epoch[157] Batch [3749]/[3759] Speed: 120.776483 samples/sec accuracy=51.948333 loss=2.090460 lr=0.012956 Batch [0049]/[0303]: acc-top1=51.718750 acc-top5=74.125000 Batch [0099]/[0303]: acc-top1=48.843750 acc-top5=72.828125 Batch [0149]/[0303]: acc-top1=49.968750 acc-top5=73.437500 Batch [0199]/[0303]: acc-top1=52.867188 acc-top5=75.484375 Batch [0249]/[0303]: acc-top1=52.375000 acc-top5=75.362500 Batch [0299]/[0303]: acc-top1=51.947917 acc-top5=75.546875 [Epoch 157] training: accuracy=51.954060 loss=2.090545 [Epoch 157] speed: 116 samples/sec time cost: 2172.758605 [Epoch 157] validation: acc-top1=51.918317 acc-top5=75.577558 loss=2.204536 Epoch[158] Batch [0049]/[3760] Speed: 87.719835 samples/sec accuracy=52.125000 loss=2.083519 lr=0.012946 Epoch[158] Batch [0099]/[3760] Speed: 116.017342 samples/sec accuracy=51.921875 loss=2.095363 lr=0.012937 Epoch[158] Batch [0149]/[3760] Speed: 117.445430 samples/sec accuracy=52.520833 loss=2.067792 lr=0.012929 Epoch[158] Batch [0199]/[3760] Speed: 117.587032 samples/sec accuracy=52.671875 loss=2.068877 lr=0.012920 Epoch[158] Batch [0249]/[3760] Speed: 118.334863 samples/sec accuracy=52.600000 loss=2.063006 lr=0.012912 Epoch[158] Batch [0299]/[3760] Speed: 118.010646 samples/sec accuracy=53.197917 loss=2.039514 lr=0.012903 Epoch[158] Batch [0349]/[3760] Speed: 117.988706 samples/sec accuracy=53.089286 loss=2.043447 lr=0.012894 Epoch[158] Batch [0399]/[3760] Speed: 116.343270 samples/sec accuracy=53.089844 loss=2.042701 lr=0.012886 Epoch[158] Batch [0449]/[3760] Speed: 117.035273 samples/sec accuracy=53.013889 loss=2.042321 lr=0.012877 Epoch[158] Batch [0499]/[3760] Speed: 117.205186 samples/sec accuracy=53.093750 loss=2.039056 lr=0.012868 Epoch[158] Batch [0549]/[3760] Speed: 117.566902 samples/sec accuracy=53.076705 loss=2.037474 lr=0.012860 Epoch[158] Batch [0599]/[3760] Speed: 117.447320 samples/sec accuracy=53.070313 loss=2.040907 lr=0.012851 Epoch[158] Batch [0649]/[3760] Speed: 116.881410 samples/sec accuracy=52.983173 loss=2.044543 lr=0.012842 Epoch[158] Batch [0699]/[3760] Speed: 117.373063 samples/sec accuracy=52.939732 loss=2.047215 lr=0.012834 Epoch[158] Batch [0749]/[3760] Speed: 117.237126 samples/sec accuracy=52.925000 loss=2.049158 lr=0.012825 Epoch[158] Batch [0799]/[3760] Speed: 117.400525 samples/sec accuracy=52.914062 loss=2.046312 lr=0.012817 Epoch[158] Batch [0849]/[3760] Speed: 117.425464 samples/sec accuracy=52.926471 loss=2.044119 lr=0.012808 Epoch[158] Batch [0899]/[3760] Speed: 118.000364 samples/sec accuracy=52.944444 loss=2.042392 lr=0.012799 Epoch[158] Batch [0949]/[3760] Speed: 117.449274 samples/sec accuracy=52.876645 loss=2.043201 lr=0.012791 Epoch[158] Batch [0999]/[3760] Speed: 117.395677 samples/sec accuracy=52.826562 loss=2.044531 lr=0.012782 Epoch[158] Batch [1049]/[3760] Speed: 117.580592 samples/sec accuracy=52.742560 loss=2.047904 lr=0.012773 Epoch[158] Batch [1099]/[3760] Speed: 116.973016 samples/sec accuracy=52.723011 loss=2.049783 lr=0.012765 Epoch[158] Batch [1149]/[3760] Speed: 117.379089 samples/sec accuracy=52.698370 loss=2.051722 lr=0.012756 Epoch[158] Batch [1199]/[3760] Speed: 117.209666 samples/sec accuracy=52.742188 loss=2.050361 lr=0.012748 Epoch[158] Batch [1249]/[3760] Speed: 117.806538 samples/sec accuracy=52.728750 loss=2.051825 lr=0.012739 Epoch[158] Batch [1299]/[3760] Speed: 117.741510 samples/sec accuracy=52.719952 loss=2.052942 lr=0.012730 Epoch[158] Batch [1349]/[3760] Speed: 118.327832 samples/sec accuracy=52.711806 loss=2.053278 lr=0.012722 Epoch[158] Batch [1399]/[3760] Speed: 117.589098 samples/sec accuracy=52.680804 loss=2.054398 lr=0.012713 Epoch[158] Batch [1449]/[3760] Speed: 117.923785 samples/sec accuracy=52.664871 loss=2.054932 lr=0.012705 Epoch[158] Batch [1499]/[3760] Speed: 115.716802 samples/sec accuracy=52.661458 loss=2.054400 lr=0.012696 Epoch[158] Batch [1549]/[3760] Speed: 117.399769 samples/sec accuracy=52.635081 loss=2.056439 lr=0.012687 Epoch[158] Batch [1599]/[3760] Speed: 117.245644 samples/sec accuracy=52.629883 loss=2.057421 lr=0.012679 Epoch[158] Batch [1649]/[3760] Speed: 118.118288 samples/sec accuracy=52.690341 loss=2.056783 lr=0.012670 Epoch[158] Batch [1699]/[3760] Speed: 117.516035 samples/sec accuracy=52.695772 loss=2.055905 lr=0.012662 Epoch[158] Batch [1749]/[3760] Speed: 117.347104 samples/sec accuracy=52.668750 loss=2.057366 lr=0.012653 Epoch[158] Batch [1799]/[3760] Speed: 116.971404 samples/sec accuracy=52.636285 loss=2.059152 lr=0.012645 Epoch[158] Batch [1849]/[3760] Speed: 117.681745 samples/sec accuracy=52.635135 loss=2.058940 lr=0.012636 Epoch[158] Batch [1899]/[3760] Speed: 117.343891 samples/sec accuracy=52.622533 loss=2.059091 lr=0.012627 Epoch[158] Batch [1949]/[3760] Speed: 117.820074 samples/sec accuracy=52.660256 loss=2.057622 lr=0.012619 Epoch[158] Batch [1999]/[3760] Speed: 117.402721 samples/sec accuracy=52.659375 loss=2.057145 lr=0.012610 Epoch[158] Batch [2049]/[3760] Speed: 117.901515 samples/sec accuracy=52.676829 loss=2.056902 lr=0.012602 Epoch[158] Batch [2099]/[3760] Speed: 117.778434 samples/sec accuracy=52.687500 loss=2.056948 lr=0.012593 Epoch[158] Batch [2149]/[3760] Speed: 117.703240 samples/sec accuracy=52.678052 loss=2.057483 lr=0.012585 Epoch[158] Batch [2199]/[3760] Speed: 117.958058 samples/sec accuracy=52.649858 loss=2.057902 lr=0.012576 Epoch[158] Batch [2249]/[3760] Speed: 116.886185 samples/sec accuracy=52.649306 loss=2.057818 lr=0.012568 Epoch[158] Batch [2299]/[3760] Speed: 117.542057 samples/sec accuracy=52.604620 loss=2.059630 lr=0.012559 Epoch[158] Batch [2349]/[3760] Speed: 117.435688 samples/sec accuracy=52.580452 loss=2.059765 lr=0.012550 Epoch[158] Batch [2399]/[3760] Speed: 118.186419 samples/sec accuracy=52.551432 loss=2.060702 lr=0.012542 Epoch[158] Batch [2449]/[3760] Speed: 117.484774 samples/sec accuracy=52.551658 loss=2.061225 lr=0.012533 Epoch[158] Batch [2499]/[3760] Speed: 117.488794 samples/sec accuracy=52.559375 loss=2.061347 lr=0.012525 Epoch[158] Batch [2549]/[3760] Speed: 117.179439 samples/sec accuracy=52.549632 loss=2.061915 lr=0.012516 Epoch[158] Batch [2599]/[3760] Speed: 117.392967 samples/sec accuracy=52.554087 loss=2.061761 lr=0.012508 Epoch[158] Batch [2649]/[3760] Speed: 117.359478 samples/sec accuracy=52.524764 loss=2.063102 lr=0.012499 Epoch[158] Batch [2699]/[3760] Speed: 117.196233 samples/sec accuracy=52.504051 loss=2.063820 lr=0.012491 Epoch[158] Batch [2749]/[3760] Speed: 117.806174 samples/sec accuracy=52.509091 loss=2.063928 lr=0.012482 Epoch[158] Batch [2799]/[3760] Speed: 117.640012 samples/sec accuracy=52.516183 loss=2.064004 lr=0.012474 Epoch[158] Batch [2849]/[3760] Speed: 117.808518 samples/sec accuracy=52.493969 loss=2.064778 lr=0.012465 Epoch[158] Batch [2899]/[3760] Speed: 115.798919 samples/sec accuracy=52.491918 loss=2.065180 lr=0.012457 Epoch[158] Batch [2949]/[3760] Speed: 117.448394 samples/sec accuracy=52.507945 loss=2.065317 lr=0.012448 Epoch[158] Batch [2999]/[3760] Speed: 117.644682 samples/sec accuracy=52.504167 loss=2.065790 lr=0.012440 Epoch[158] Batch [3049]/[3760] Speed: 117.502216 samples/sec accuracy=52.516906 loss=2.065227 lr=0.012431 Epoch[158] Batch [3099]/[3760] Speed: 116.806674 samples/sec accuracy=52.482359 loss=2.066247 lr=0.012423 Epoch[158] Batch [3149]/[3760] Speed: 117.512258 samples/sec accuracy=52.482639 loss=2.066923 lr=0.012414 Epoch[158] Batch [3199]/[3760] Speed: 117.829401 samples/sec accuracy=52.497070 loss=2.066755 lr=0.012406 Epoch[158] Batch [3249]/[3760] Speed: 116.974627 samples/sec accuracy=52.510096 loss=2.066241 lr=0.012397 Epoch[158] Batch [3299]/[3760] Speed: 117.310526 samples/sec accuracy=52.489110 loss=2.066119 lr=0.012389 Epoch[158] Batch [3349]/[3760] Speed: 117.883277 samples/sec accuracy=52.480410 loss=2.066515 lr=0.012380 Epoch[158] Batch [3399]/[3760] Speed: 117.553791 samples/sec accuracy=52.499081 loss=2.065668 lr=0.012372 Epoch[158] Batch [3449]/[3760] Speed: 117.284276 samples/sec accuracy=52.492301 loss=2.065742 lr=0.012363 Epoch[158] Batch [3499]/[3760] Speed: 117.261622 samples/sec accuracy=52.462500 loss=2.067027 lr=0.012355 Epoch[158] Batch [3549]/[3760] Speed: 116.469726 samples/sec accuracy=52.432658 loss=2.067842 lr=0.012346 Epoch[158] Batch [3599]/[3760] Speed: 117.802997 samples/sec accuracy=52.425781 loss=2.068208 lr=0.012338 Epoch[158] Batch [3649]/[3760] Speed: 118.002376 samples/sec accuracy=52.442637 loss=2.068017 lr=0.012329 Epoch[158] Batch [3699]/[3760] Speed: 117.935271 samples/sec accuracy=52.435389 loss=2.068486 lr=0.012321 Epoch[158] Batch [3749]/[3760] Speed: 120.830019 samples/sec accuracy=52.445000 loss=2.068338 lr=0.012312 Batch [0049]/[0303]: acc-top1=53.687500 acc-top5=75.125000 Batch [0099]/[0303]: acc-top1=49.515625 acc-top5=73.687500 Batch [0149]/[0303]: acc-top1=50.583333 acc-top5=74.416667 Batch [0199]/[0303]: acc-top1=53.414062 acc-top5=76.539062 Batch [0249]/[0303]: acc-top1=52.637500 acc-top5=76.206250 Batch [0299]/[0303]: acc-top1=52.187500 acc-top5=76.197917 [Epoch 158] training: accuracy=52.447640 loss=2.068178 [Epoch 158] speed: 116 samples/sec time cost: 2173.347190 [Epoch 158] validation: acc-top1=52.140058 acc-top5=76.139645 loss=2.220627 Epoch[159] Batch [0049]/[3760] Speed: 87.269676 samples/sec accuracy=53.687500 loss=2.016698 lr=0.012302 Epoch[159] Batch [0099]/[3760] Speed: 118.169261 samples/sec accuracy=52.875000 loss=2.041492 lr=0.012293 Epoch[159] Batch [0149]/[3760] Speed: 117.095859 samples/sec accuracy=52.906250 loss=2.028191 lr=0.012285 Epoch[159] Batch [0199]/[3760] Speed: 117.047188 samples/sec accuracy=53.492188 loss=2.010561 lr=0.012277 Epoch[159] Batch [0249]/[3760] Speed: 117.437577 samples/sec accuracy=53.087500 loss=2.026704 lr=0.012268 Epoch[159] Batch [0299]/[3760] Speed: 117.233816 samples/sec accuracy=53.223958 loss=2.027839 lr=0.012260 Epoch[159] Batch [0349]/[3760] Speed: 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loss=2.040278 lr=0.012175 Epoch[159] Batch [0849]/[3760] Speed: 116.686086 samples/sec accuracy=53.023897 loss=2.038860 lr=0.012167 Epoch[159] Batch [0899]/[3760] Speed: 116.924506 samples/sec accuracy=53.013889 loss=2.039810 lr=0.012158 Epoch[159] Batch [0949]/[3760] Speed: 117.683906 samples/sec accuracy=53.003289 loss=2.039107 lr=0.012150 Epoch[159] Batch [0999]/[3760] Speed: 117.261315 samples/sec accuracy=52.998437 loss=2.038036 lr=0.012141 Epoch[159] Batch [1049]/[3760] Speed: 117.235942 samples/sec accuracy=53.055060 loss=2.036384 lr=0.012133 Epoch[159] Batch [1099]/[3760] Speed: 117.175958 samples/sec accuracy=53.063920 loss=2.036463 lr=0.012125 Epoch[159] Batch [1149]/[3760] Speed: 117.227173 samples/sec accuracy=53.043478 loss=2.037688 lr=0.012116 Epoch[159] Batch [1199]/[3760] Speed: 116.465264 samples/sec accuracy=52.994792 loss=2.040459 lr=0.012108 Epoch[159] Batch [1249]/[3760] Speed: 117.613710 samples/sec accuracy=52.987500 loss=2.039747 lr=0.012099 Epoch[159] Batch 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accuracy=52.849107 loss=2.049181 lr=0.012015 Epoch[159] Batch [1799]/[3760] Speed: 117.235124 samples/sec accuracy=52.891493 loss=2.048382 lr=0.012007 Epoch[159] Batch [1849]/[3760] Speed: 115.809169 samples/sec accuracy=52.849662 loss=2.048575 lr=0.011999 Epoch[159] Batch [1899]/[3760] Speed: 117.514092 samples/sec accuracy=52.838816 loss=2.048696 lr=0.011990 Epoch[159] Batch [1949]/[3760] Speed: 117.457570 samples/sec accuracy=52.835737 loss=2.048453 lr=0.011982 Epoch[159] Batch [1999]/[3760] Speed: 117.157494 samples/sec accuracy=52.811719 loss=2.050116 lr=0.011973 Epoch[159] Batch [2049]/[3760] Speed: 117.546720 samples/sec accuracy=52.849848 loss=2.048331 lr=0.011965 Epoch[159] Batch [2099]/[3760] Speed: 117.688246 samples/sec accuracy=52.849702 loss=2.048801 lr=0.011957 Epoch[159] Batch [2149]/[3760] Speed: 118.112022 samples/sec accuracy=52.864099 loss=2.049084 lr=0.011948 Epoch[159] Batch [2199]/[3760] Speed: 115.427917 samples/sec accuracy=52.870739 loss=2.048598 lr=0.011940 Epoch[159] Batch [2249]/[3760] Speed: 117.463687 samples/sec accuracy=52.868056 loss=2.048753 lr=0.011932 Epoch[159] Batch [2299]/[3760] Speed: 117.548669 samples/sec accuracy=52.875679 loss=2.047897 lr=0.011923 Epoch[159] Batch [2349]/[3760] Speed: 117.913181 samples/sec accuracy=52.890293 loss=2.046748 lr=0.011915 Epoch[159] Batch [2399]/[3760] Speed: 118.324364 samples/sec accuracy=52.906901 loss=2.046292 lr=0.011907 Epoch[159] Batch [2449]/[3760] Speed: 117.745829 samples/sec accuracy=52.901148 loss=2.045983 lr=0.011898 Epoch[159] Batch [2499]/[3760] Speed: 117.600228 samples/sec accuracy=52.891875 loss=2.046316 lr=0.011890 Epoch[159] Batch [2549]/[3760] Speed: 118.159253 samples/sec accuracy=52.848039 loss=2.048761 lr=0.011881 Epoch[159] Batch [2599]/[3760] Speed: 117.332615 samples/sec accuracy=52.838942 loss=2.048982 lr=0.011873 Epoch[159] Batch [2649]/[3760] Speed: 118.403038 samples/sec accuracy=52.855542 loss=2.047819 lr=0.011865 Epoch[159] Batch [2699]/[3760] Speed: 117.795458 samples/sec accuracy=52.861690 loss=2.047646 lr=0.011856 Epoch[159] Batch [2749]/[3760] Speed: 117.772584 samples/sec accuracy=52.850000 loss=2.048567 lr=0.011848 Epoch[159] Batch [2799]/[3760] Speed: 118.241684 samples/sec accuracy=52.848772 loss=2.048937 lr=0.011840 Epoch[159] Batch [2849]/[3760] Speed: 117.511728 samples/sec accuracy=52.838816 loss=2.049398 lr=0.011831 Epoch[159] Batch [2899]/[3760] Speed: 117.099027 samples/sec accuracy=52.802263 loss=2.051318 lr=0.011823 Epoch[159] Batch [2949]/[3760] Speed: 117.723782 samples/sec accuracy=52.791843 loss=2.051292 lr=0.011815 Epoch[159] Batch [2999]/[3760] Speed: 117.766986 samples/sec accuracy=52.804688 loss=2.050278 lr=0.011806 Epoch[159] Batch [3049]/[3760] Speed: 117.603712 samples/sec accuracy=52.793545 loss=2.051258 lr=0.011798 Epoch[159] Batch [3099]/[3760] Speed: 117.257645 samples/sec accuracy=52.783770 loss=2.051318 lr=0.011790 Epoch[159] Batch [3149]/[3760] Speed: 117.449054 samples/sec accuracy=52.775298 loss=2.051899 lr=0.011782 Epoch[159] Batch [3199]/[3760] Speed: 115.284532 samples/sec accuracy=52.776855 loss=2.051946 lr=0.011773 Epoch[159] Batch [3249]/[3760] Speed: 118.484921 samples/sec accuracy=52.798558 loss=2.051741 lr=0.011765 Epoch[159] Batch [3299]/[3760] Speed: 117.838854 samples/sec accuracy=52.797822 loss=2.052223 lr=0.011757 Epoch[159] Batch [3349]/[3760] Speed: 117.746968 samples/sec accuracy=52.784981 loss=2.052150 lr=0.011748 Epoch[159] Batch [3399]/[3760] Speed: 117.939352 samples/sec accuracy=52.791360 loss=2.052658 lr=0.011740 Epoch[159] Batch [3449]/[3760] Speed: 118.233233 samples/sec accuracy=52.795743 loss=2.052301 lr=0.011732 Epoch[159] Batch [3499]/[3760] Speed: 117.464157 samples/sec accuracy=52.791071 loss=2.052578 lr=0.011723 Epoch[159] Batch [3549]/[3760] Speed: 117.410432 samples/sec accuracy=52.813820 loss=2.051888 lr=0.011715 Epoch[159] Batch [3599]/[3760] Speed: 118.155186 samples/sec accuracy=52.796875 loss=2.052735 lr=0.011707 Epoch[159] Batch [3649]/[3760] Speed: 117.672343 samples/sec accuracy=52.793664 loss=2.052914 lr=0.011698 Epoch[159] Batch [3699]/[3760] Speed: 117.456513 samples/sec accuracy=52.792652 loss=2.053278 lr=0.011690 Epoch[159] Batch [3749]/[3760] Speed: 120.715148 samples/sec accuracy=52.813333 loss=2.052791 lr=0.011682 Batch [0049]/[0303]: acc-top1=52.531250 acc-top5=75.000000 Batch [0099]/[0303]: acc-top1=49.406250 acc-top5=74.109375 Batch [0149]/[0303]: acc-top1=50.760417 acc-top5=74.645833 Batch [0199]/[0303]: acc-top1=53.515625 acc-top5=76.476562 Batch [0249]/[0303]: acc-top1=52.881250 acc-top5=76.225000 Batch [0299]/[0303]: acc-top1=52.390625 acc-top5=76.057292 [Epoch 159] training: accuracy=52.819564 loss=2.052533 [Epoch 159] speed: 116 samples/sec time cost: 2174.697634 [Epoch 159] validation: acc-top1=52.310231 acc-top5=76.036510 loss=2.213319 Epoch[160] Batch [0049]/[3759] Speed: 86.863827 samples/sec accuracy=53.531250 loss=2.034313 lr=0.011672 Epoch[160] Batch [0099]/[3759] Speed: 116.954554 samples/sec accuracy=54.046875 loss=1.999459 lr=0.011664 Epoch[160] Batch [0149]/[3759] Speed: 117.548843 samples/sec accuracy=53.843750 loss=1.999180 lr=0.011655 Epoch[160] Batch [0199]/[3759] Speed: 116.803450 samples/sec accuracy=54.070312 loss=1.993704 lr=0.011647 Epoch[160] Batch [0249]/[3759] Speed: 117.951504 samples/sec accuracy=54.150000 loss=1.997503 lr=0.011639 Epoch[160] Batch [0299]/[3759] Speed: 117.114007 samples/sec accuracy=53.937500 loss=2.004409 lr=0.011631 Epoch[160] Batch [0349]/[3759] Speed: 117.997428 samples/sec accuracy=53.977679 loss=2.005759 lr=0.011622 Epoch[160] Batch [0399]/[3759] Speed: 117.376897 samples/sec accuracy=54.257812 loss=1.998046 lr=0.011614 Epoch[160] Batch [0449]/[3759] Speed: 117.282815 samples/sec accuracy=54.125000 loss=2.000837 lr=0.011606 Epoch[160] Batch [0499]/[3759] Speed: 117.285326 samples/sec accuracy=53.887500 loss=2.012066 lr=0.011598 Epoch[160] Batch [0549]/[3759] Speed: 117.327481 samples/sec accuracy=53.821023 loss=2.014867 lr=0.011589 Epoch[160] Batch [0599]/[3759] Speed: 117.656959 samples/sec accuracy=53.809896 loss=2.010639 lr=0.011581 Epoch[160] Batch [0649]/[3759] Speed: 117.112802 samples/sec accuracy=53.829327 loss=2.008399 lr=0.011573 Epoch[160] Batch [0699]/[3759] Speed: 118.272798 samples/sec accuracy=53.785714 loss=2.008774 lr=0.011565 Epoch[160] Batch [0749]/[3759] Speed: 115.566444 samples/sec accuracy=53.852083 loss=2.005750 lr=0.011556 Epoch[160] Batch [0799]/[3759] Speed: 118.147984 samples/sec accuracy=53.855469 loss=2.003537 lr=0.011548 Epoch[160] Batch [0849]/[3759] Speed: 117.796285 samples/sec accuracy=53.803309 loss=2.004263 lr=0.011540 Epoch[160] Batch [0899]/[3759] Speed: 117.559916 samples/sec accuracy=53.857639 loss=2.002597 lr=0.011532 Epoch[160] Batch [0949]/[3759] Speed: 116.996107 samples/sec accuracy=53.748355 loss=2.006567 lr=0.011523 Epoch[160] Batch [0999]/[3759] Speed: 117.568914 samples/sec accuracy=53.748438 loss=2.008672 lr=0.011515 Epoch[160] Batch [1049]/[3759] Speed: 117.739073 samples/sec accuracy=53.747024 loss=2.007868 lr=0.011507 Epoch[160] Batch [1099]/[3759] Speed: 116.849842 samples/sec accuracy=53.710227 loss=2.007689 lr=0.011499 Epoch[160] Batch [1149]/[3759] Speed: 118.375736 samples/sec accuracy=53.672554 loss=2.009010 lr=0.011490 Epoch[160] Batch [1199]/[3759] Speed: 116.714470 samples/sec accuracy=53.669271 loss=2.010637 lr=0.011482 Epoch[160] Batch [1249]/[3759] Speed: 117.569079 samples/sec accuracy=53.668750 loss=2.011507 lr=0.011474 Epoch[160] Batch [1299]/[3759] Speed: 117.711956 samples/sec accuracy=53.703125 loss=2.011269 lr=0.011466 Epoch[160] Batch [1349]/[3759] Speed: 117.182820 samples/sec accuracy=53.686343 loss=2.011283 lr=0.011457 Epoch[160] Batch [1399]/[3759] Speed: 117.318639 samples/sec accuracy=53.700893 loss=2.010967 lr=0.011449 Epoch[160] Batch [1449]/[3759] Speed: 117.233898 samples/sec accuracy=53.704741 loss=2.011682 lr=0.011441 Epoch[160] Batch [1499]/[3759] Speed: 117.539954 samples/sec accuracy=53.713542 loss=2.012305 lr=0.011433 Epoch[160] Batch [1549]/[3759] Speed: 117.271579 samples/sec accuracy=53.723790 loss=2.010917 lr=0.011425 Epoch[160] Batch [1599]/[3759] Speed: 118.236088 samples/sec accuracy=53.681641 loss=2.012420 lr=0.011416 Epoch[160] Batch [1649]/[3759] Speed: 117.926663 samples/sec accuracy=53.669508 loss=2.013601 lr=0.011408 Epoch[160] Batch [1699]/[3759] Speed: 117.454312 samples/sec accuracy=53.663603 loss=2.014035 lr=0.011400 Epoch[160] Batch [1749]/[3759] Speed: 117.474563 samples/sec accuracy=53.688393 loss=2.013486 lr=0.011392 Epoch[160] Batch [1799]/[3759] Speed: 117.380769 samples/sec accuracy=53.717882 loss=2.012223 lr=0.011384 Epoch[160] Batch [1849]/[3759] Speed: 117.273307 samples/sec accuracy=53.713682 loss=2.012965 lr=0.011375 Epoch[160] Batch [1899]/[3759] Speed: 117.427313 samples/sec accuracy=53.717928 loss=2.012888 lr=0.011367 Epoch[160] Batch [1949]/[3759] Speed: 117.750179 samples/sec accuracy=53.673077 loss=2.014537 lr=0.011359 Epoch[160] Batch [1999]/[3759] Speed: 117.718999 samples/sec accuracy=53.675781 loss=2.015157 lr=0.011351 Epoch[160] Batch [2049]/[3759] Speed: 117.633915 samples/sec accuracy=53.658537 loss=2.015597 lr=0.011343 Epoch[160] Batch [2099]/[3759] Speed: 115.620541 samples/sec accuracy=53.640625 loss=2.016273 lr=0.011335 Epoch[160] Batch [2149]/[3759] Speed: 117.747862 samples/sec accuracy=53.634448 loss=2.016338 lr=0.011326 Epoch[160] Batch [2199]/[3759] Speed: 117.433448 samples/sec accuracy=53.699574 loss=2.014027 lr=0.011318 Epoch[160] Batch [2249]/[3759] Speed: 118.044372 samples/sec accuracy=53.692361 loss=2.014202 lr=0.011310 Epoch[160] Batch [2299]/[3759] Speed: 117.792016 samples/sec accuracy=53.713995 loss=2.013356 lr=0.011302 Epoch[160] Batch [2349]/[3759] Speed: 118.105410 samples/sec accuracy=53.672207 loss=2.014395 lr=0.011294 Epoch[160] Batch [2399]/[3759] Speed: 117.922718 samples/sec accuracy=53.655599 loss=2.016184 lr=0.011286 Epoch[160] Batch [2449]/[3759] Speed: 117.754951 samples/sec accuracy=53.648597 loss=2.017059 lr=0.011277 Epoch[160] Batch [2499]/[3759] Speed: 117.483529 samples/sec accuracy=53.655000 loss=2.017337 lr=0.011269 Epoch[160] Batch [2549]/[3759] Speed: 117.023217 samples/sec accuracy=53.688725 loss=2.015592 lr=0.011261 Epoch[160] Batch [2599]/[3759] Speed: 118.090585 samples/sec accuracy=53.685096 loss=2.015356 lr=0.011253 Epoch[160] Batch [2649]/[3759] Speed: 117.502798 samples/sec accuracy=53.664505 loss=2.015696 lr=0.011245 Epoch[160] Batch [2699]/[3759] Speed: 117.634268 samples/sec accuracy=53.650463 loss=2.016542 lr=0.011237 Epoch[160] Batch [2749]/[3759] Speed: 117.375777 samples/sec accuracy=53.617614 loss=2.017784 lr=0.011228 Epoch[160] Batch [2799]/[3759] Speed: 117.515549 samples/sec accuracy=53.609375 loss=2.018398 lr=0.011220 Epoch[160] Batch [2849]/[3759] Speed: 117.625628 samples/sec accuracy=53.589364 loss=2.018531 lr=0.011212 Epoch[160] Batch [2899]/[3759] Speed: 117.636328 samples/sec accuracy=53.598599 loss=2.017928 lr=0.011204 Epoch[160] Batch [2949]/[3759] Speed: 117.619445 samples/sec accuracy=53.571504 loss=2.018888 lr=0.011196 Epoch[160] Batch [2999]/[3759] Speed: 117.146223 samples/sec accuracy=53.581250 loss=2.018730 lr=0.011188 Epoch[160] Batch [3049]/[3759] Speed: 117.472199 samples/sec accuracy=53.588627 loss=2.018435 lr=0.011180 Epoch[160] Batch [3099]/[3759] Speed: 117.677011 samples/sec accuracy=53.572581 loss=2.018876 lr=0.011172 Epoch[160] Batch [3149]/[3759] Speed: 116.699155 samples/sec accuracy=53.573413 loss=2.019385 lr=0.011163 Epoch[160] Batch [3199]/[3759] Speed: 117.706245 samples/sec accuracy=53.542969 loss=2.021041 lr=0.011155 Epoch[160] Batch [3249]/[3759] Speed: 117.375038 samples/sec accuracy=53.518269 loss=2.022136 lr=0.011147 Epoch[160] Batch [3299]/[3759] Speed: 117.885654 samples/sec accuracy=53.536458 loss=2.021510 lr=0.011139 Epoch[160] Batch [3349]/[3759] Speed: 117.587747 samples/sec accuracy=53.536847 loss=2.021979 lr=0.011131 Epoch[160] Batch 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acc-top5=75.552083 Batch [0199]/[0303]: acc-top1=54.343750 acc-top5=77.304688 Batch [0249]/[0303]: acc-top1=53.475000 acc-top5=77.143750 Batch [0299]/[0303]: acc-top1=53.109375 acc-top5=77.088542 [Epoch 160] training: accuracy=53.477903 loss=2.024371 [Epoch 160] speed: 116 samples/sec time cost: 2173.306725 [Epoch 160] validation: acc-top1=53.063119 acc-top5=77.098804 loss=2.096457 Epoch[161] Batch [0049]/[3760] Speed: 88.404642 samples/sec accuracy=55.468750 loss=1.959799 lr=0.011057 Epoch[161] Batch [0099]/[3760] Speed: 117.643135 samples/sec accuracy=53.750000 loss=1.997870 lr=0.011048 Epoch[161] Batch [0149]/[3760] Speed: 117.900411 samples/sec accuracy=53.937500 loss=2.000034 lr=0.011040 Epoch[161] Batch [0199]/[3760] Speed: 117.392971 samples/sec accuracy=53.796875 loss=2.008049 lr=0.011032 Epoch[161] Batch [0249]/[3760] Speed: 117.971438 samples/sec accuracy=53.725000 loss=2.012168 lr=0.011024 Epoch[161] Batch [0299]/[3760] Speed: 118.406328 samples/sec accuracy=53.770833 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accuracy=54.267500 loss=1.993819 lr=0.010863 Epoch[161] Batch [1299]/[3760] Speed: 117.601272 samples/sec accuracy=54.274038 loss=1.992229 lr=0.010855 Epoch[161] Batch [1349]/[3760] Speed: 117.429266 samples/sec accuracy=54.297454 loss=1.991270 lr=0.010847 Epoch[161] Batch [1399]/[3760] Speed: 117.382229 samples/sec accuracy=54.299107 loss=1.991383 lr=0.010839 Epoch[161] Batch [1449]/[3760] Speed: 117.769560 samples/sec accuracy=54.273707 loss=1.992062 lr=0.010831 Epoch[161] Batch [1499]/[3760] Speed: 117.483942 samples/sec accuracy=54.251042 loss=1.991954 lr=0.010823 Epoch[161] Batch [1549]/[3760] Speed: 117.877083 samples/sec accuracy=54.263105 loss=1.991987 lr=0.010815 Epoch[161] Batch [1599]/[3760] Speed: 118.140184 samples/sec accuracy=54.282227 loss=1.993061 lr=0.010807 Epoch[161] Batch [1649]/[3760] Speed: 117.054578 samples/sec accuracy=54.307765 loss=1.991555 lr=0.010799 Epoch[161] Batch [1699]/[3760] Speed: 117.795320 samples/sec accuracy=54.264706 loss=1.993332 lr=0.010791 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117.291150 samples/sec accuracy=54.218750 loss=1.995779 lr=0.010711 Epoch[161] Batch [2249]/[3760] Speed: 117.698747 samples/sec accuracy=54.196528 loss=1.996630 lr=0.010703 Epoch[161] Batch [2299]/[3760] Speed: 117.311549 samples/sec accuracy=54.180707 loss=1.997450 lr=0.010695 Epoch[161] Batch [2349]/[3760] Speed: 117.447577 samples/sec accuracy=54.168218 loss=1.997795 lr=0.010687 Epoch[161] Batch [2399]/[3760] Speed: 116.818883 samples/sec accuracy=54.172526 loss=1.997501 lr=0.010679 Epoch[161] Batch [2449]/[3760] Speed: 117.607957 samples/sec accuracy=54.156888 loss=1.997110 lr=0.010671 Epoch[161] Batch [2499]/[3760] Speed: 117.294903 samples/sec accuracy=54.122500 loss=1.997728 lr=0.010663 Epoch[161] Batch [2549]/[3760] Speed: 115.737147 samples/sec accuracy=54.098039 loss=1.998169 lr=0.010655 Epoch[161] Batch [2599]/[3760] Speed: 117.160838 samples/sec accuracy=54.116587 loss=1.997220 lr=0.010647 Epoch[161] Batch [2649]/[3760] Speed: 117.026876 samples/sec accuracy=54.093160 loss=1.998341 lr=0.010639 Epoch[161] Batch [2699]/[3760] Speed: 117.192549 samples/sec accuracy=54.077546 loss=1.998774 lr=0.010631 Epoch[161] Batch [2749]/[3760] Speed: 118.056619 samples/sec accuracy=54.069886 loss=1.999121 lr=0.010624 Epoch[161] Batch [2799]/[3760] Speed: 117.590753 samples/sec accuracy=54.055246 loss=1.999431 lr=0.010616 Epoch[161] Batch [2849]/[3760] Speed: 117.870210 samples/sec accuracy=54.037829 loss=2.000576 lr=0.010608 Epoch[161] Batch [2899]/[3760] Speed: 117.377649 samples/sec accuracy=54.043642 loss=2.000402 lr=0.010600 Epoch[161] Batch [2949]/[3760] Speed: 116.890882 samples/sec accuracy=54.040784 loss=2.000804 lr=0.010592 Epoch[161] Batch [2999]/[3760] Speed: 117.727791 samples/sec accuracy=54.042708 loss=2.000221 lr=0.010584 Epoch[161] Batch [3049]/[3760] Speed: 117.820519 samples/sec accuracy=54.046619 loss=2.000306 lr=0.010576 Epoch[161] Batch [3099]/[3760] Speed: 116.842248 samples/sec accuracy=54.045867 loss=2.000521 lr=0.010568 Epoch[161] Batch [3149]/[3760] Speed: 117.552255 samples/sec accuracy=54.018849 loss=2.001542 lr=0.010560 Epoch[161] Batch [3199]/[3760] Speed: 117.918398 samples/sec accuracy=53.983398 loss=2.002651 lr=0.010552 Epoch[161] Batch [3249]/[3760] Speed: 117.398541 samples/sec accuracy=53.964423 loss=2.003791 lr=0.010544 Epoch[161] Batch [3299]/[3760] Speed: 118.198985 samples/sec accuracy=53.959280 loss=2.004107 lr=0.010536 Epoch[161] Batch [3349]/[3760] Speed: 117.987099 samples/sec accuracy=53.982743 loss=2.003559 lr=0.010528 Epoch[161] Batch [3399]/[3760] Speed: 117.072895 samples/sec accuracy=53.998162 loss=2.003107 lr=0.010520 Epoch[161] Batch [3449]/[3760] Speed: 118.053261 samples/sec accuracy=54.013587 loss=2.002622 lr=0.010512 Epoch[161] Batch [3499]/[3760] Speed: 117.700127 samples/sec accuracy=54.025893 loss=2.001987 lr=0.010505 Epoch[161] Batch [3549]/[3760] Speed: 117.466765 samples/sec accuracy=54.022447 loss=2.001793 lr=0.010497 Epoch[161] Batch [3599]/[3760] Speed: 117.784385 samples/sec accuracy=54.008247 loss=2.002589 lr=0.010489 Epoch[161] Batch [3649]/[3760] Speed: 117.933429 samples/sec accuracy=54.010274 loss=2.003052 lr=0.010481 Epoch[161] Batch [3699]/[3760] Speed: 117.838778 samples/sec accuracy=54.025338 loss=2.002841 lr=0.010473 Epoch[161] Batch [3749]/[3760] Speed: 120.414675 samples/sec accuracy=54.027083 loss=2.003038 lr=0.010465 Batch [0049]/[0303]: acc-top1=52.906250 acc-top5=76.312500 Batch [0099]/[0303]: acc-top1=50.031250 acc-top5=74.406250 Batch [0149]/[0303]: acc-top1=51.927083 acc-top5=75.468750 Batch [0199]/[0303]: acc-top1=54.523438 acc-top5=77.046875 Batch [0249]/[0303]: acc-top1=54.100000 acc-top5=77.000000 Batch [0299]/[0303]: acc-top1=53.562500 acc-top5=77.109375 [Epoch 161] training: accuracy=54.032995 loss=2.002853 [Epoch 161] speed: 116 samples/sec time cost: 2173.345336 [Epoch 161] validation: acc-top1=53.511757 acc-top5=77.109117 loss=2.143722 Epoch[162] Batch [0049]/[3759] Speed: 86.443286 samples/sec accuracy=54.093750 loss=2.020745 lr=0.010456 Epoch[162] Batch [0099]/[3759] Speed: 117.122529 samples/sec accuracy=54.078125 loss=1.999025 lr=0.010448 Epoch[162] Batch [0149]/[3759] Speed: 117.792524 samples/sec accuracy=54.052083 loss=2.002526 lr=0.010440 Epoch[162] Batch [0199]/[3759] Speed: 115.325483 samples/sec accuracy=54.539062 loss=1.988901 lr=0.010432 Epoch[162] Batch [0249]/[3759] Speed: 117.512940 samples/sec accuracy=54.537500 loss=1.988092 lr=0.010424 Epoch[162] Batch [0299]/[3759] Speed: 117.250889 samples/sec accuracy=54.536458 loss=1.983559 lr=0.010416 Epoch[162] Batch [0349]/[3759] Speed: 117.787354 samples/sec accuracy=54.401786 loss=1.985066 lr=0.010408 Epoch[162] Batch [0399]/[3759] Speed: 117.589660 samples/sec accuracy=54.566406 loss=1.979388 lr=0.010400 Epoch[162] Batch [0449]/[3759] Speed: 118.146338 samples/sec accuracy=54.541667 loss=1.980775 lr=0.010393 Epoch[162] Batch [0499]/[3759] Speed: 116.629936 samples/sec accuracy=54.450000 loss=1.982353 lr=0.010385 Epoch[162] Batch [0549]/[3759] Speed: 117.640000 samples/sec accuracy=54.326705 loss=1.987902 lr=0.010377 Epoch[162] Batch [0599]/[3759] Speed: 117.258291 samples/sec accuracy=54.320312 loss=1.986301 lr=0.010369 Epoch[162] Batch [0649]/[3759] Speed: 117.954089 samples/sec accuracy=54.302885 loss=1.986119 lr=0.010361 Epoch[162] Batch [0699]/[3759] Speed: 117.559778 samples/sec accuracy=54.310268 loss=1.984942 lr=0.010353 Epoch[162] Batch [0749]/[3759] Speed: 116.497058 samples/sec accuracy=54.331250 loss=1.983663 lr=0.010345 Epoch[162] Batch [0799]/[3759] Speed: 118.035000 samples/sec accuracy=54.285156 loss=1.985834 lr=0.010338 Epoch[162] Batch [0849]/[3759] Speed: 116.946431 samples/sec accuracy=54.283088 loss=1.986290 lr=0.010330 Epoch[162] Batch [0899]/[3759] Speed: 118.119192 samples/sec accuracy=54.296875 loss=1.984327 lr=0.010322 Epoch[162] Batch [0949]/[3759] Speed: 117.231631 samples/sec accuracy=54.384868 loss=1.982249 lr=0.010314 Epoch[162] Batch [0999]/[3759] Speed: 116.956028 samples/sec accuracy=54.382812 loss=1.982037 lr=0.010306 Epoch[162] Batch [1049]/[3759] Speed: 117.109795 samples/sec accuracy=54.379464 loss=1.982561 lr=0.010298 Epoch[162] Batch [1099]/[3759] Speed: 116.986686 samples/sec accuracy=54.329545 loss=1.984590 lr=0.010290 Epoch[162] Batch [1149]/[3759] Speed: 117.324576 samples/sec accuracy=54.369565 loss=1.982303 lr=0.010283 Epoch[162] Batch [1199]/[3759] Speed: 116.430559 samples/sec accuracy=54.384115 loss=1.983265 lr=0.010275 Epoch[162] Batch [1249]/[3759] Speed: 117.663211 samples/sec accuracy=54.432500 loss=1.980504 lr=0.010267 Epoch[162] Batch [1299]/[3759] Speed: 118.081035 samples/sec accuracy=54.456731 loss=1.979198 lr=0.010259 Epoch[162] Batch [1349]/[3759] Speed: 117.213980 samples/sec accuracy=54.454861 loss=1.979444 lr=0.010251 Epoch[162] Batch [1399]/[3759] Speed: 117.764199 samples/sec accuracy=54.468750 loss=1.980122 lr=0.010243 Epoch[162] Batch [1449]/[3759] Speed: 116.972626 samples/sec accuracy=54.441810 loss=1.981859 lr=0.010236 Epoch[162] Batch [1499]/[3759] Speed: 116.963286 samples/sec accuracy=54.466667 loss=1.981715 lr=0.010228 Epoch[162] Batch [1549]/[3759] Speed: 118.294507 samples/sec accuracy=54.413306 loss=1.984602 lr=0.010220 Epoch[162] Batch [1599]/[3759] Speed: 114.910897 samples/sec accuracy=54.397461 loss=1.984355 lr=0.010212 Epoch[162] Batch [1649]/[3759] Speed: 117.723315 samples/sec accuracy=54.392992 loss=1.983570 lr=0.010204 Epoch[162] Batch [1699]/[3759] Speed: 118.161862 samples/sec accuracy=54.341912 loss=1.986408 lr=0.010197 Epoch[162] Batch [1749]/[3759] Speed: 117.404959 samples/sec accuracy=54.352679 loss=1.986577 lr=0.010189 Epoch[162] Batch [1799]/[3759] Speed: 117.487478 samples/sec accuracy=54.297743 loss=1.987866 lr=0.010181 Epoch[162] Batch [1849]/[3759] Speed: 117.553251 samples/sec accuracy=54.328547 loss=1.987620 lr=0.010173 Epoch[162] Batch [1899]/[3759] Speed: 117.806442 samples/sec accuracy=54.361842 loss=1.986846 lr=0.010165 Epoch[162] Batch [1949]/[3759] Speed: 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loss=1.988085 lr=0.010088 Epoch[162] Batch [2449]/[3759] Speed: 117.095156 samples/sec accuracy=54.348852 loss=1.988310 lr=0.010080 Epoch[162] Batch [2499]/[3759] Speed: 116.759390 samples/sec accuracy=54.366250 loss=1.987019 lr=0.010072 Epoch[162] Batch [2549]/[3759] Speed: 116.980961 samples/sec accuracy=54.375000 loss=1.987399 lr=0.010064 Epoch[162] Batch [2599]/[3759] Speed: 117.389853 samples/sec accuracy=54.368389 loss=1.987260 lr=0.010057 Epoch[162] Batch [2649]/[3759] Speed: 116.798488 samples/sec accuracy=54.356132 loss=1.987318 lr=0.010049 Epoch[162] Batch [2699]/[3759] Speed: 116.857561 samples/sec accuracy=54.358218 loss=1.987472 lr=0.010041 Epoch[162] Batch [2749]/[3759] Speed: 116.988524 samples/sec accuracy=54.364773 loss=1.987098 lr=0.010033 Epoch[162] Batch [2799]/[3759] Speed: 116.982592 samples/sec accuracy=54.372210 loss=1.985804 lr=0.010025 Epoch[162] Batch [2849]/[3759] Speed: 116.889266 samples/sec accuracy=54.385417 loss=1.985654 lr=0.010018 Epoch[162] Batch [2899]/[3759] Speed: 117.750797 samples/sec accuracy=54.331358 loss=1.986931 lr=0.010010 Epoch[162] Batch [2949]/[3759] Speed: 116.688180 samples/sec accuracy=54.351165 loss=1.986016 lr=0.010002 Epoch[162] Batch [2999]/[3759] Speed: 116.016957 samples/sec accuracy=54.330729 loss=1.986265 lr=0.009995 Epoch[162] Batch [3049]/[3759] Speed: 117.172191 samples/sec accuracy=54.312500 loss=1.986694 lr=0.009987 Epoch[162] Batch [3099]/[3759] Speed: 116.447852 samples/sec accuracy=54.312500 loss=1.986264 lr=0.009979 Epoch[162] Batch [3149]/[3759] Speed: 116.962259 samples/sec accuracy=54.318452 loss=1.986339 lr=0.009971 Epoch[162] Batch [3199]/[3759] Speed: 117.132089 samples/sec accuracy=54.315430 loss=1.986433 lr=0.009964 Epoch[162] Batch [3249]/[3759] Speed: 117.163289 samples/sec accuracy=54.349038 loss=1.984951 lr=0.009956 Epoch[162] Batch [3299]/[3759] Speed: 117.923276 samples/sec accuracy=54.381155 loss=1.984470 lr=0.009948 Epoch[162] Batch [3349]/[3759] Speed: 117.191876 samples/sec accuracy=54.386194 loss=1.984152 lr=0.009940 Epoch[162] Batch [3399]/[3759] Speed: 117.739782 samples/sec accuracy=54.388327 loss=1.983358 lr=0.009933 Epoch[162] Batch [3449]/[3759] Speed: 117.814106 samples/sec accuracy=54.356884 loss=1.984585 lr=0.009925 Epoch[162] Batch [3499]/[3759] Speed: 117.138037 samples/sec accuracy=54.366964 loss=1.984445 lr=0.009917 Epoch[162] Batch [3549]/[3759] Speed: 117.247061 samples/sec accuracy=54.363996 loss=1.984034 lr=0.009910 Epoch[162] Batch [3599]/[3759] Speed: 116.742052 samples/sec accuracy=54.355903 loss=1.984103 lr=0.009902 Epoch[162] Batch [3649]/[3759] Speed: 117.123560 samples/sec accuracy=54.377140 loss=1.983309 lr=0.009894 Epoch[162] Batch [3699]/[3759] Speed: 117.566104 samples/sec accuracy=54.377111 loss=1.982952 lr=0.009886 Epoch[162] Batch [3749]/[3759] Speed: 120.832877 samples/sec accuracy=54.385417 loss=1.982548 lr=0.009879 Batch [0049]/[0303]: acc-top1=54.312500 acc-top5=76.156250 Batch [0099]/[0303]: acc-top1=51.125000 acc-top5=75.406250 Batch [0149]/[0303]: acc-top1=52.885417 acc-top5=76.010417 Batch [0199]/[0303]: acc-top1=55.203125 acc-top5=77.554688 Batch [0249]/[0303]: acc-top1=54.437500 acc-top5=77.387500 Batch [0299]/[0303]: acc-top1=53.880208 acc-top5=77.302083 [Epoch 162] training: accuracy=54.383230 loss=1.982487 [Epoch 162] speed: 116 samples/sec time cost: 2177.325732 [Epoch 162] validation: acc-top1=53.764439 acc-top5=77.268977 loss=2.133919 Epoch[163] Batch [0049]/[3760] Speed: 87.315381 samples/sec accuracy=54.781250 loss=1.926534 lr=0.009870 Epoch[163] Batch [0099]/[3760] Speed: 117.771506 samples/sec accuracy=55.703125 loss=1.908287 lr=0.009862 Epoch[163] Batch [0149]/[3760] Speed: 117.434151 samples/sec accuracy=55.833333 loss=1.903327 lr=0.009854 Epoch[163] Batch [0199]/[3760] Speed: 116.999557 samples/sec accuracy=55.820312 loss=1.904153 lr=0.009847 Epoch[163] Batch [0249]/[3760] Speed: 117.930931 samples/sec accuracy=55.856250 loss=1.904347 lr=0.009839 Epoch[163] Batch 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accuracy=55.412500 loss=1.930133 lr=0.009762 Epoch[163] Batch [0799]/[3760] Speed: 118.299924 samples/sec accuracy=55.394531 loss=1.930497 lr=0.009755 Epoch[163] Batch [0849]/[3760] Speed: 117.330066 samples/sec accuracy=55.316176 loss=1.933128 lr=0.009747 Epoch[163] Batch [0899]/[3760] Speed: 116.947573 samples/sec accuracy=55.237847 loss=1.937608 lr=0.009739 Epoch[163] Batch [0949]/[3760] Speed: 115.552372 samples/sec accuracy=55.253289 loss=1.937020 lr=0.009732 Epoch[163] Batch [0999]/[3760] Speed: 117.326040 samples/sec accuracy=55.234375 loss=1.938303 lr=0.009724 Epoch[163] Batch [1049]/[3760] Speed: 117.796336 samples/sec accuracy=55.230655 loss=1.935638 lr=0.009716 Epoch[163] Batch [1099]/[3760] Speed: 117.273156 samples/sec accuracy=55.178977 loss=1.936344 lr=0.009709 Epoch[163] Batch [1149]/[3760] Speed: 117.820747 samples/sec accuracy=55.198370 loss=1.936124 lr=0.009701 Epoch[163] Batch [1199]/[3760] Speed: 117.519755 samples/sec accuracy=55.157552 loss=1.938997 lr=0.009693 Epoch[163] Batch [1249]/[3760] Speed: 117.994681 samples/sec accuracy=55.138750 loss=1.940312 lr=0.009686 Epoch[163] Batch [1299]/[3760] Speed: 116.773556 samples/sec accuracy=55.140625 loss=1.940443 lr=0.009678 Epoch[163] Batch [1349]/[3760] Speed: 117.156432 samples/sec accuracy=55.202546 loss=1.939349 lr=0.009671 Epoch[163] Batch [1399]/[3760] Speed: 117.696754 samples/sec accuracy=55.220982 loss=1.938896 lr=0.009663 Epoch[163] Batch [1449]/[3760] Speed: 117.837101 samples/sec accuracy=55.132543 loss=1.941346 lr=0.009655 Epoch[163] Batch [1499]/[3760] Speed: 117.942660 samples/sec accuracy=55.159375 loss=1.939908 lr=0.009648 Epoch[163] Batch [1549]/[3760] Speed: 117.664092 samples/sec accuracy=55.156250 loss=1.941102 lr=0.009640 Epoch[163] Batch [1599]/[3760] Speed: 118.177516 samples/sec accuracy=55.130859 loss=1.942145 lr=0.009632 Epoch[163] Batch [1649]/[3760] Speed: 117.016231 samples/sec accuracy=55.136364 loss=1.941318 lr=0.009625 Epoch[163] Batch [1699]/[3760] Speed: 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loss=1.945675 lr=0.009549 Epoch[163] Batch [2199]/[3760] Speed: 117.546010 samples/sec accuracy=55.060369 loss=1.946155 lr=0.009541 Epoch[163] Batch [2249]/[3760] Speed: 118.436932 samples/sec accuracy=55.064583 loss=1.945517 lr=0.009534 Epoch[163] Batch [2299]/[3760] Speed: 117.952192 samples/sec accuracy=55.024457 loss=1.946584 lr=0.009526 Epoch[163] Batch [2349]/[3760] Speed: 115.058475 samples/sec accuracy=55.013298 loss=1.946888 lr=0.009519 Epoch[163] Batch [2399]/[3760] Speed: 117.863987 samples/sec accuracy=54.992188 loss=1.947473 lr=0.009511 Epoch[163] Batch [2449]/[3760] Speed: 117.305403 samples/sec accuracy=54.978954 loss=1.948842 lr=0.009504 Epoch[163] Batch [2499]/[3760] Speed: 117.969104 samples/sec accuracy=54.986250 loss=1.948667 lr=0.009496 Epoch[163] Batch [2549]/[3760] Speed: 117.765898 samples/sec accuracy=54.999387 loss=1.948792 lr=0.009488 Epoch[163] Batch [2599]/[3760] Speed: 116.994729 samples/sec accuracy=54.986779 loss=1.949626 lr=0.009481 Epoch[163] Batch 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accuracy=54.954133 loss=1.952655 lr=0.009405 Epoch[163] Batch [3149]/[3760] Speed: 118.116613 samples/sec accuracy=54.924107 loss=1.953818 lr=0.009398 Epoch[163] Batch [3199]/[3760] Speed: 117.602120 samples/sec accuracy=54.936035 loss=1.954062 lr=0.009390 Epoch[163] Batch [3249]/[3760] Speed: 118.149748 samples/sec accuracy=54.930769 loss=1.954258 lr=0.009383 Epoch[163] Batch [3299]/[3760] Speed: 118.697473 samples/sec accuracy=54.930871 loss=1.953657 lr=0.009375 Epoch[163] Batch [3349]/[3760] Speed: 118.042461 samples/sec accuracy=54.927705 loss=1.953871 lr=0.009368 Epoch[163] Batch [3399]/[3760] Speed: 117.952214 samples/sec accuracy=54.932445 loss=1.953811 lr=0.009360 Epoch[163] Batch [3449]/[3760] Speed: 118.728962 samples/sec accuracy=54.938859 loss=1.952940 lr=0.009353 Epoch[163] Batch [3499]/[3760] Speed: 117.780873 samples/sec accuracy=54.933036 loss=1.952933 lr=0.009345 Epoch[163] Batch [3549]/[3760] Speed: 117.814420 samples/sec accuracy=54.911532 loss=1.953086 lr=0.009338 Epoch[163] Batch [3599]/[3760] Speed: 117.512665 samples/sec accuracy=54.895399 loss=1.953461 lr=0.009330 Epoch[163] Batch [3649]/[3760] Speed: 117.888414 samples/sec accuracy=54.887414 loss=1.953818 lr=0.009323 Epoch[163] Batch [3699]/[3760] Speed: 117.688999 samples/sec accuracy=54.865709 loss=1.954685 lr=0.009315 Epoch[163] Batch [3749]/[3760] Speed: 120.464255 samples/sec accuracy=54.852500 loss=1.955121 lr=0.009308 Batch [0049]/[0303]: acc-top1=53.093750 acc-top5=75.875000 Batch [0099]/[0303]: acc-top1=51.359375 acc-top5=75.375000 Batch [0149]/[0303]: acc-top1=53.197917 acc-top5=76.218750 Batch [0199]/[0303]: acc-top1=55.570312 acc-top5=77.875000 Batch [0249]/[0303]: acc-top1=54.700000 acc-top5=77.650000 Batch [0299]/[0303]: acc-top1=54.302083 acc-top5=77.598958 [Epoch 163] training: accuracy=54.843750 loss=1.955405 [Epoch 163] speed: 117 samples/sec time cost: 2172.749846 [Epoch 163] validation: acc-top1=54.254332 acc-top5=77.599010 loss=2.089704 Epoch[164] Batch [0049]/[3760] Speed: 87.445647 samples/sec accuracy=56.562500 loss=1.864887 lr=0.009299 Epoch[164] Batch [0099]/[3760] Speed: 117.649569 samples/sec accuracy=56.578125 loss=1.868322 lr=0.009291 Epoch[164] Batch [0149]/[3760] Speed: 117.603982 samples/sec accuracy=56.781250 loss=1.880717 lr=0.009284 Epoch[164] Batch [0199]/[3760] Speed: 116.425795 samples/sec accuracy=56.914062 loss=1.878969 lr=0.009276 Epoch[164] Batch [0249]/[3760] Speed: 116.970008 samples/sec accuracy=56.643750 loss=1.890225 lr=0.009269 Epoch[164] Batch [0299]/[3760] Speed: 117.102141 samples/sec accuracy=56.406250 loss=1.895042 lr=0.009261 Epoch[164] Batch [0349]/[3760] Speed: 117.802078 samples/sec accuracy=56.459821 loss=1.894509 lr=0.009254 Epoch[164] Batch [0399]/[3760] Speed: 116.971927 samples/sec accuracy=56.289062 loss=1.900110 lr=0.009246 Epoch[164] Batch [0449]/[3760] Speed: 117.850442 samples/sec accuracy=56.302083 loss=1.900262 lr=0.009239 Epoch[164] Batch [0499]/[3760] Speed: 117.417746 samples/sec accuracy=56.165625 loss=1.904911 lr=0.009231 Epoch[164] Batch [0549]/[3760] Speed: 117.546618 samples/sec accuracy=56.048295 loss=1.912743 lr=0.009224 Epoch[164] Batch [0599]/[3760] Speed: 117.806108 samples/sec accuracy=56.054688 loss=1.914903 lr=0.009217 Epoch[164] Batch [0649]/[3760] Speed: 117.525280 samples/sec accuracy=56.060096 loss=1.912680 lr=0.009209 Epoch[164] Batch [0699]/[3760] Speed: 118.095509 samples/sec accuracy=56.031250 loss=1.914166 lr=0.009202 Epoch[164] Batch [0749]/[3760] Speed: 117.344424 samples/sec accuracy=56.010417 loss=1.913280 lr=0.009194 Epoch[164] Batch [0799]/[3760] Speed: 117.680348 samples/sec accuracy=55.939453 loss=1.916889 lr=0.009187 Epoch[164] Batch [0849]/[3760] Speed: 117.253347 samples/sec accuracy=55.886029 loss=1.919399 lr=0.009179 Epoch[164] Batch [0899]/[3760] Speed: 117.508021 samples/sec accuracy=55.876736 loss=1.918229 lr=0.009172 Epoch[164] Batch [0949]/[3760] Speed: 116.796160 samples/sec accuracy=55.807566 loss=1.920203 lr=0.009164 Epoch[164] Batch [0999]/[3760] Speed: 117.567269 samples/sec accuracy=55.826563 loss=1.917517 lr=0.009157 Epoch[164] Batch [1049]/[3760] Speed: 117.259448 samples/sec accuracy=55.855655 loss=1.915397 lr=0.009149 Epoch[164] Batch [1099]/[3760] Speed: 117.479488 samples/sec accuracy=55.744318 loss=1.917649 lr=0.009142 Epoch[164] Batch [1149]/[3760] Speed: 118.870462 samples/sec accuracy=55.717391 loss=1.918543 lr=0.009135 Epoch[164] Batch [1199]/[3760] Speed: 117.609415 samples/sec accuracy=55.697917 loss=1.919377 lr=0.009127 Epoch[164] Batch [1249]/[3760] Speed: 117.497690 samples/sec accuracy=55.768750 loss=1.917460 lr=0.009120 Epoch[164] Batch [1299]/[3760] Speed: 117.458084 samples/sec accuracy=55.728365 loss=1.918264 lr=0.009112 Epoch[164] Batch [1349]/[3760] Speed: 114.532257 samples/sec accuracy=55.773148 loss=1.916192 lr=0.009105 Epoch[164] Batch [1399]/[3760] Speed: 117.047127 samples/sec accuracy=55.774554 loss=1.916792 lr=0.009097 Epoch[164] Batch [1449]/[3760] Speed: 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loss=1.918856 lr=0.009023 Epoch[164] Batch [1949]/[3760] Speed: 117.248281 samples/sec accuracy=55.681090 loss=1.919715 lr=0.009016 Epoch[164] Batch [1999]/[3760] Speed: 116.882029 samples/sec accuracy=55.684375 loss=1.919818 lr=0.009009 Epoch[164] Batch [2049]/[3760] Speed: 118.148759 samples/sec accuracy=55.663872 loss=1.921089 lr=0.009001 Epoch[164] Batch [2099]/[3760] Speed: 117.019307 samples/sec accuracy=55.662946 loss=1.920386 lr=0.008994 Epoch[164] Batch [2149]/[3760] Speed: 117.893757 samples/sec accuracy=55.658430 loss=1.921338 lr=0.008987 Epoch[164] Batch [2199]/[3760] Speed: 117.076268 samples/sec accuracy=55.673295 loss=1.921108 lr=0.008979 Epoch[164] Batch [2249]/[3760] Speed: 117.275299 samples/sec accuracy=55.681944 loss=1.920532 lr=0.008972 Epoch[164] Batch [2299]/[3760] Speed: 116.767961 samples/sec accuracy=55.672554 loss=1.920802 lr=0.008964 Epoch[164] Batch [2349]/[3760] Speed: 117.062977 samples/sec accuracy=55.683511 loss=1.920368 lr=0.008957 Epoch[164] Batch 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accuracy=55.417763 loss=1.930120 lr=0.008883 Epoch[164] Batch [2899]/[3760] Speed: 117.874492 samples/sec accuracy=55.432112 loss=1.929842 lr=0.008876 Epoch[164] Batch [2949]/[3760] Speed: 118.117645 samples/sec accuracy=55.452331 loss=1.928773 lr=0.008869 Epoch[164] Batch [2999]/[3760] Speed: 116.732360 samples/sec accuracy=55.455729 loss=1.928352 lr=0.008861 Epoch[164] Batch [3049]/[3760] Speed: 117.440177 samples/sec accuracy=55.460041 loss=1.928251 lr=0.008854 Epoch[164] Batch [3099]/[3760] Speed: 117.852664 samples/sec accuracy=55.440524 loss=1.928524 lr=0.008847 Epoch[164] Batch [3149]/[3760] Speed: 117.084388 samples/sec accuracy=55.434524 loss=1.928863 lr=0.008840 Epoch[164] Batch [3199]/[3760] Speed: 117.046394 samples/sec accuracy=55.437012 loss=1.929045 lr=0.008832 Epoch[164] Batch [3249]/[3760] Speed: 118.269983 samples/sec accuracy=55.439904 loss=1.929065 lr=0.008825 Epoch[164] Batch [3299]/[3760] Speed: 117.821075 samples/sec accuracy=55.456439 loss=1.927835 lr=0.008818 Epoch[164] Batch [3349]/[3760] Speed: 117.644501 samples/sec accuracy=55.455224 loss=1.928504 lr=0.008810 Epoch[164] Batch [3399]/[3760] Speed: 118.273065 samples/sec accuracy=55.440257 loss=1.929684 lr=0.008803 Epoch[164] Batch [3449]/[3760] Speed: 117.068791 samples/sec accuracy=55.425725 loss=1.930322 lr=0.008796 Epoch[164] Batch [3499]/[3760] Speed: 117.707483 samples/sec accuracy=55.404464 loss=1.931285 lr=0.008788 Epoch[164] Batch [3549]/[3760] Speed: 117.567943 samples/sec accuracy=55.393046 loss=1.931744 lr=0.008781 Epoch[164] Batch [3599]/[3760] Speed: 117.951138 samples/sec accuracy=55.390191 loss=1.932043 lr=0.008774 Epoch[164] Batch [3649]/[3760] Speed: 118.133739 samples/sec accuracy=55.377140 loss=1.932559 lr=0.008766 Epoch[164] Batch [3699]/[3760] Speed: 117.029746 samples/sec accuracy=55.377956 loss=1.932661 lr=0.008759 Epoch[164] Batch [3749]/[3760] Speed: 120.485719 samples/sec accuracy=55.381250 loss=1.933118 lr=0.008752 Batch [0049]/[0303]: acc-top1=54.250000 acc-top5=76.281250 Batch [0099]/[0303]: acc-top1=51.406250 acc-top5=75.109375 Batch [0149]/[0303]: acc-top1=52.479167 acc-top5=75.552083 Batch [0199]/[0303]: acc-top1=55.398438 acc-top5=77.367188 Batch [0249]/[0303]: acc-top1=54.831250 acc-top5=77.237500 Batch [0299]/[0303]: acc-top1=54.437500 acc-top5=77.364583 [Epoch 164] training: accuracy=55.387716 loss=1.932930 [Epoch 164] speed: 116 samples/sec time cost: 2175.758063 [Epoch 164] validation: acc-top1=54.393564 acc-top5=77.341172 loss=2.097981 Epoch[165] Batch [0049]/[3759] Speed: 87.396990 samples/sec accuracy=56.000000 loss=1.934685 lr=0.008743 Epoch[165] Batch [0099]/[3759] Speed: 116.823896 samples/sec accuracy=56.453125 loss=1.895264 lr=0.008736 Epoch[165] Batch [0149]/[3759] Speed: 117.346394 samples/sec accuracy=56.156250 loss=1.909558 lr=0.008729 Epoch[165] Batch [0199]/[3759] Speed: 117.706578 samples/sec accuracy=56.234375 loss=1.901517 lr=0.008721 Epoch[165] Batch [0249]/[3759] Speed: 117.642459 samples/sec accuracy=56.631250 loss=1.889897 lr=0.008714 Epoch[165] Batch [0299]/[3759] Speed: 116.668174 samples/sec accuracy=56.552083 loss=1.887893 lr=0.008707 Epoch[165] Batch [0349]/[3759] Speed: 117.561688 samples/sec accuracy=56.441964 loss=1.890266 lr=0.008699 Epoch[165] Batch [0399]/[3759] Speed: 115.224171 samples/sec accuracy=56.402344 loss=1.890230 lr=0.008692 Epoch[165] Batch [0449]/[3759] Speed: 117.229498 samples/sec accuracy=56.440972 loss=1.889518 lr=0.008685 Epoch[165] Batch [0499]/[3759] Speed: 117.799606 samples/sec accuracy=56.406250 loss=1.887360 lr=0.008678 Epoch[165] Batch [0549]/[3759] Speed: 116.848830 samples/sec accuracy=56.184659 loss=1.896975 lr=0.008670 Epoch[165] Batch [0599]/[3759] Speed: 118.106227 samples/sec accuracy=56.111979 loss=1.901145 lr=0.008663 Epoch[165] Batch [0649]/[3759] Speed: 118.008616 samples/sec accuracy=56.129808 loss=1.901779 lr=0.008656 Epoch[165] Batch [0699]/[3759] Speed: 117.816611 samples/sec accuracy=56.263393 loss=1.898058 lr=0.008649 Epoch[165] Batch [0749]/[3759] Speed: 116.946069 samples/sec accuracy=56.183333 loss=1.899562 lr=0.008641 Epoch[165] Batch [0799]/[3759] Speed: 117.437526 samples/sec accuracy=56.113281 loss=1.901842 lr=0.008634 Epoch[165] Batch [0849]/[3759] Speed: 117.478681 samples/sec accuracy=56.128676 loss=1.901882 lr=0.008627 Epoch[165] Batch [0899]/[3759] Speed: 117.393791 samples/sec accuracy=56.142361 loss=1.897975 lr=0.008620 Epoch[165] Batch [0949]/[3759] Speed: 116.992424 samples/sec accuracy=56.054276 loss=1.901635 lr=0.008612 Epoch[165] Batch [0999]/[3759] Speed: 117.271135 samples/sec accuracy=56.006250 loss=1.903694 lr=0.008605 Epoch[165] Batch [1049]/[3759] Speed: 117.340410 samples/sec accuracy=56.046131 loss=1.900734 lr=0.008598 Epoch[165] Batch [1099]/[3759] Speed: 117.026312 samples/sec accuracy=56.071023 loss=1.899447 lr=0.008591 Epoch[165] Batch [1149]/[3759] Speed: 117.747025 samples/sec accuracy=56.065217 loss=1.900922 lr=0.008583 Epoch[165] Batch [1199]/[3759] Speed: 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loss=1.899497 lr=0.008511 Epoch[165] Batch [1699]/[3759] Speed: 117.566473 samples/sec accuracy=56.032169 loss=1.900119 lr=0.008504 Epoch[165] Batch [1749]/[3759] Speed: 117.047773 samples/sec accuracy=55.997321 loss=1.900823 lr=0.008497 Epoch[165] Batch [1799]/[3759] Speed: 114.723315 samples/sec accuracy=55.975694 loss=1.901696 lr=0.008490 Epoch[165] Batch [1849]/[3759] Speed: 117.396089 samples/sec accuracy=55.943412 loss=1.903329 lr=0.008483 Epoch[165] Batch [1899]/[3759] Speed: 117.814575 samples/sec accuracy=55.981908 loss=1.901995 lr=0.008475 Epoch[165] Batch [1949]/[3759] Speed: 116.847450 samples/sec accuracy=55.968750 loss=1.901743 lr=0.008468 Epoch[165] Batch [1999]/[3759] Speed: 117.156115 samples/sec accuracy=55.935156 loss=1.902571 lr=0.008461 Epoch[165] Batch [2049]/[3759] Speed: 117.917893 samples/sec accuracy=55.918445 loss=1.904044 lr=0.008454 Epoch[165] Batch [2099]/[3759] Speed: 118.090211 samples/sec accuracy=55.875744 loss=1.906165 lr=0.008447 Epoch[165] Batch 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accuracy=55.756010 loss=1.908809 lr=0.008375 Epoch[165] Batch [2649]/[3759] Speed: 117.343582 samples/sec accuracy=55.762972 loss=1.908591 lr=0.008368 Epoch[165] Batch [2699]/[3759] Speed: 117.109163 samples/sec accuracy=55.774884 loss=1.908031 lr=0.008361 Epoch[165] Batch [2749]/[3759] Speed: 117.124481 samples/sec accuracy=55.772159 loss=1.907544 lr=0.008354 Epoch[165] Batch [2799]/[3759] Speed: 117.780397 samples/sec accuracy=55.780692 loss=1.907756 lr=0.008347 Epoch[165] Batch [2849]/[3759] Speed: 118.391468 samples/sec accuracy=55.812500 loss=1.907347 lr=0.008339 Epoch[165] Batch [2899]/[3759] Speed: 117.146140 samples/sec accuracy=55.780172 loss=1.907677 lr=0.008332 Epoch[165] Batch [2949]/[3759] Speed: 116.804916 samples/sec accuracy=55.785487 loss=1.907302 lr=0.008325 Epoch[165] Batch [2999]/[3759] Speed: 117.304864 samples/sec accuracy=55.782812 loss=1.907106 lr=0.008318 Epoch[165] Batch [3049]/[3759] Speed: 117.365827 samples/sec accuracy=55.790984 loss=1.907073 lr=0.008311 Epoch[165] Batch [3099]/[3759] Speed: 118.002540 samples/sec accuracy=55.806452 loss=1.906705 lr=0.008304 Epoch[165] Batch [3149]/[3759] Speed: 116.851080 samples/sec accuracy=55.807044 loss=1.906893 lr=0.008297 Epoch[165] Batch [3199]/[3759] Speed: 118.526694 samples/sec accuracy=55.807617 loss=1.907080 lr=0.008290 Epoch[165] Batch [3249]/[3759] Speed: 114.835765 samples/sec accuracy=55.792308 loss=1.908127 lr=0.008282 Epoch[165] Batch [3299]/[3759] Speed: 117.751807 samples/sec accuracy=55.772254 loss=1.908721 lr=0.008275 Epoch[165] Batch [3349]/[3759] Speed: 117.644164 samples/sec accuracy=55.772854 loss=1.909049 lr=0.008268 Epoch[165] Batch [3399]/[3759] Speed: 117.256701 samples/sec accuracy=55.761949 loss=1.909710 lr=0.008261 Epoch[165] Batch [3449]/[3759] Speed: 117.395618 samples/sec accuracy=55.764040 loss=1.909176 lr=0.008254 Epoch[165] Batch [3499]/[3759] Speed: 117.415760 samples/sec accuracy=55.781696 loss=1.908072 lr=0.008247 Epoch[165] Batch [3549]/[3759] Speed: 118.260388 samples/sec accuracy=55.797975 loss=1.907072 lr=0.008240 Epoch[165] Batch [3599]/[3759] Speed: 117.788598 samples/sec accuracy=55.795139 loss=1.906426 lr=0.008233 Epoch[165] Batch [3649]/[3759] Speed: 117.899342 samples/sec accuracy=55.811216 loss=1.905947 lr=0.008226 Epoch[165] Batch [3699]/[3759] Speed: 118.132352 samples/sec accuracy=55.801943 loss=1.906667 lr=0.008219 Epoch[165] Batch [3749]/[3759] Speed: 120.718883 samples/sec accuracy=55.785000 loss=1.906917 lr=0.008211 Batch [0049]/[0303]: acc-top1=54.750000 acc-top5=77.218750 Batch [0099]/[0303]: acc-top1=52.171875 acc-top5=75.375000 Batch [0149]/[0303]: acc-top1=53.052083 acc-top5=76.125000 Batch [0199]/[0303]: acc-top1=55.718750 acc-top5=77.726562 Batch [0249]/[0303]: acc-top1=54.743750 acc-top5=77.581250 Batch [0299]/[0303]: acc-top1=54.447917 acc-top5=77.739583 [Epoch 165] training: accuracy=55.790270 loss=1.906664 [Epoch 165] speed: 116 samples/sec time cost: 2175.169499 [Epoch 165] validation: acc-top1=54.409035 acc-top5=77.743399 loss=2.103142 Epoch[166] Batch [0049]/[3760] Speed: 86.792911 samples/sec accuracy=57.812500 loss=1.860271 lr=0.008203 Epoch[166] Batch [0099]/[3760] Speed: 116.622043 samples/sec accuracy=56.718750 loss=1.871606 lr=0.008196 Epoch[166] Batch [0149]/[3760] Speed: 116.886490 samples/sec accuracy=57.083333 loss=1.862392 lr=0.008189 Epoch[166] Batch [0199]/[3760] Speed: 117.299009 samples/sec accuracy=57.328125 loss=1.848495 lr=0.008182 Epoch[166] Batch [0249]/[3760] Speed: 118.102804 samples/sec accuracy=57.156250 loss=1.856050 lr=0.008175 Epoch[166] Batch [0299]/[3760] Speed: 118.389103 samples/sec accuracy=57.010417 loss=1.861100 lr=0.008168 Epoch[166] Batch [0349]/[3760] Speed: 117.007595 samples/sec accuracy=56.834821 loss=1.866642 lr=0.008161 Epoch[166] Batch [0399]/[3760] Speed: 117.266341 samples/sec accuracy=56.664062 loss=1.873702 lr=0.008154 Epoch[166] Batch [0449]/[3760] Speed: 118.375463 samples/sec accuracy=56.715278 loss=1.872058 lr=0.008147 Epoch[166] Batch [0499]/[3760] Speed: 117.498497 samples/sec accuracy=56.871875 loss=1.871019 lr=0.008140 Epoch[166] Batch [0549]/[3760] Speed: 117.986506 samples/sec accuracy=56.852273 loss=1.868880 lr=0.008132 Epoch[166] Batch [0599]/[3760] Speed: 117.778726 samples/sec accuracy=56.869792 loss=1.870519 lr=0.008125 Epoch[166] Batch [0649]/[3760] Speed: 116.708303 samples/sec accuracy=56.896635 loss=1.868442 lr=0.008118 Epoch[166] Batch [0699]/[3760] Speed: 117.645118 samples/sec accuracy=56.848214 loss=1.872619 lr=0.008111 Epoch[166] Batch [0749]/[3760] Speed: 117.452897 samples/sec accuracy=56.756250 loss=1.875476 lr=0.008104 Epoch[166] Batch [0799]/[3760] Speed: 117.682825 samples/sec accuracy=56.707031 loss=1.877581 lr=0.008097 Epoch[166] Batch [0849]/[3760] Speed: 117.769619 samples/sec accuracy=56.742647 loss=1.876454 lr=0.008090 Epoch[166] Batch [0899]/[3760] Speed: 114.634470 samples/sec accuracy=56.760417 loss=1.876286 lr=0.008083 Epoch[166] Batch [0949]/[3760] 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accuracy=56.621652 loss=1.879641 lr=0.008013 Epoch[166] Batch [1449]/[3760] Speed: 117.119509 samples/sec accuracy=56.584052 loss=1.880506 lr=0.008006 Epoch[166] Batch [1499]/[3760] Speed: 117.685024 samples/sec accuracy=56.507292 loss=1.883789 lr=0.007999 Epoch[166] Batch [1549]/[3760] Speed: 116.953606 samples/sec accuracy=56.503024 loss=1.883297 lr=0.007992 Epoch[166] Batch [1599]/[3760] Speed: 117.444557 samples/sec accuracy=56.532227 loss=1.881623 lr=0.007985 Epoch[166] Batch [1649]/[3760] Speed: 117.291436 samples/sec accuracy=56.534091 loss=1.881415 lr=0.007978 Epoch[166] Batch [1699]/[3760] Speed: 118.027568 samples/sec accuracy=56.564338 loss=1.879683 lr=0.007971 Epoch[166] Batch [1749]/[3760] Speed: 117.278371 samples/sec accuracy=56.541964 loss=1.880545 lr=0.007964 Epoch[166] Batch [1799]/[3760] Speed: 117.935360 samples/sec accuracy=56.568576 loss=1.878810 lr=0.007957 Epoch[166] Batch [1849]/[3760] Speed: 117.572535 samples/sec accuracy=56.532095 loss=1.879766 lr=0.007950 Epoch[166] Batch [1899]/[3760] Speed: 117.677725 samples/sec accuracy=56.530428 loss=1.880414 lr=0.007943 Epoch[166] Batch [1949]/[3760] Speed: 118.186892 samples/sec accuracy=56.548077 loss=1.879524 lr=0.007936 Epoch[166] Batch [1999]/[3760] Speed: 116.866208 samples/sec accuracy=56.574219 loss=1.878385 lr=0.007929 Epoch[166] Batch [2049]/[3760] Speed: 117.738667 samples/sec accuracy=56.532012 loss=1.880373 lr=0.007922 Epoch[166] Batch [2099]/[3760] Speed: 116.887501 samples/sec accuracy=56.583333 loss=1.877373 lr=0.007915 Epoch[166] Batch [2149]/[3760] Speed: 117.616437 samples/sec accuracy=56.603924 loss=1.877172 lr=0.007908 Epoch[166] Batch [2199]/[3760] Speed: 117.775185 samples/sec accuracy=56.625710 loss=1.876620 lr=0.007901 Epoch[166] Batch [2249]/[3760] Speed: 117.742828 samples/sec accuracy=56.624306 loss=1.875782 lr=0.007894 Epoch[166] Batch [2299]/[3760] Speed: 117.786226 samples/sec accuracy=56.633152 loss=1.874294 lr=0.007887 Epoch[166] Batch [2349]/[3760] Speed: 118.002581 samples/sec accuracy=56.613032 loss=1.874588 lr=0.007880 Epoch[166] Batch [2399]/[3760] Speed: 114.878884 samples/sec accuracy=56.609375 loss=1.874632 lr=0.007874 Epoch[166] Batch [2449]/[3760] Speed: 117.581270 samples/sec accuracy=56.621173 loss=1.873990 lr=0.007867 Epoch[166] Batch [2499]/[3760] Speed: 118.131330 samples/sec accuracy=56.600000 loss=1.874389 lr=0.007860 Epoch[166] Batch [2549]/[3760] Speed: 116.718270 samples/sec accuracy=56.594363 loss=1.874706 lr=0.007853 Epoch[166] Batch [2599]/[3760] Speed: 118.075909 samples/sec accuracy=56.565505 loss=1.875599 lr=0.007846 Epoch[166] Batch [2649]/[3760] Speed: 117.174544 samples/sec accuracy=56.557193 loss=1.875343 lr=0.007839 Epoch[166] Batch [2699]/[3760] Speed: 117.652220 samples/sec accuracy=56.552662 loss=1.875196 lr=0.007832 Epoch[166] Batch [2749]/[3760] Speed: 117.831195 samples/sec accuracy=56.557386 loss=1.874562 lr=0.007825 Epoch[166] Batch [2799]/[3760] Speed: 117.650647 samples/sec accuracy=56.559152 loss=1.875218 lr=0.007818 Epoch[166] Batch [2849]/[3760] Speed: 117.380427 samples/sec accuracy=56.563596 loss=1.875086 lr=0.007811 Epoch[166] Batch [2899]/[3760] Speed: 117.858039 samples/sec accuracy=56.580819 loss=1.874632 lr=0.007804 Epoch[166] Batch [2949]/[3760] Speed: 117.834357 samples/sec accuracy=56.570975 loss=1.875193 lr=0.007797 Epoch[166] Batch [2999]/[3760] Speed: 116.695126 samples/sec accuracy=56.571354 loss=1.875106 lr=0.007790 Epoch[166] Batch [3049]/[3760] Speed: 117.515170 samples/sec accuracy=56.582992 loss=1.874528 lr=0.007783 Epoch[166] Batch [3099]/[3760] Speed: 117.914191 samples/sec accuracy=56.603327 loss=1.874171 lr=0.007777 Epoch[166] Batch [3149]/[3760] Speed: 117.287333 samples/sec accuracy=56.613095 loss=1.874205 lr=0.007770 Epoch[166] Batch [3199]/[3760] Speed: 117.321162 samples/sec accuracy=56.606445 loss=1.874735 lr=0.007763 Epoch[166] Batch [3249]/[3760] Speed: 117.584201 samples/sec accuracy=56.589904 loss=1.874971 lr=0.007756 Epoch[166] Batch 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accuracy=56.625000 loss=1.871251 lr=0.007687 Batch [0049]/[0303]: acc-top1=55.937500 acc-top5=76.250000 Batch [0099]/[0303]: acc-top1=52.640625 acc-top5=75.625000 Batch [0149]/[0303]: acc-top1=53.750000 acc-top5=76.437500 Batch [0199]/[0303]: acc-top1=56.289062 acc-top5=78.046875 Batch [0249]/[0303]: acc-top1=55.593750 acc-top5=77.850000 Batch [0299]/[0303]: acc-top1=55.000000 acc-top5=77.770833 [Epoch 166] training: accuracy=56.628158 loss=1.871144 [Epoch 166] speed: 116 samples/sec time cost: 2174.777872 [Epoch 166] validation: acc-top1=54.991749 acc-top5=77.800124 loss=2.115971 Epoch[167] Batch [0049]/[3760] Speed: 85.312890 samples/sec accuracy=58.000000 loss=1.793766 lr=0.007679 Epoch[167] Batch [0099]/[3760] Speed: 117.660920 samples/sec accuracy=57.750000 loss=1.807856 lr=0.007672 Epoch[167] Batch [0149]/[3760] Speed: 117.591160 samples/sec accuracy=57.541667 loss=1.820917 lr=0.007665 Epoch[167] Batch [0199]/[3760] Speed: 117.205805 samples/sec accuracy=57.453125 loss=1.832438 lr=0.007658 Epoch[167] Batch [0249]/[3760] Speed: 118.324610 samples/sec accuracy=57.287500 loss=1.838604 lr=0.007651 Epoch[167] Batch [0299]/[3760] Speed: 117.566010 samples/sec accuracy=57.166667 loss=1.841507 lr=0.007644 Epoch[167] Batch [0349]/[3760] Speed: 117.988262 samples/sec accuracy=56.941964 loss=1.848101 lr=0.007638 Epoch[167] Batch [0399]/[3760] Speed: 117.387498 samples/sec accuracy=57.203125 loss=1.839153 lr=0.007631 Epoch[167] Batch [0449]/[3760] Speed: 117.706932 samples/sec accuracy=57.225694 loss=1.839071 lr=0.007624 Epoch[167] Batch [0499]/[3760] Speed: 116.697054 samples/sec accuracy=57.331250 loss=1.833096 lr=0.007617 Epoch[167] Batch [0549]/[3760] Speed: 117.737141 samples/sec accuracy=57.295455 loss=1.831240 lr=0.007610 Epoch[167] Batch [0599]/[3760] Speed: 117.408286 samples/sec accuracy=57.190104 loss=1.832375 lr=0.007603 Epoch[167] Batch [0649]/[3760] Speed: 116.935443 samples/sec accuracy=57.076923 loss=1.834113 lr=0.007596 Epoch[167] Batch [0699]/[3760] 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accuracy=57.220109 loss=1.840873 lr=0.007528 Epoch[167] Batch [1199]/[3760] Speed: 116.514724 samples/sec accuracy=57.227865 loss=1.842602 lr=0.007521 Epoch[167] Batch [1249]/[3760] Speed: 117.292546 samples/sec accuracy=57.248750 loss=1.843031 lr=0.007515 Epoch[167] Batch [1299]/[3760] Speed: 116.526742 samples/sec accuracy=57.272837 loss=1.843530 lr=0.007508 Epoch[167] Batch [1349]/[3760] Speed: 117.066483 samples/sec accuracy=57.258102 loss=1.842482 lr=0.007501 Epoch[167] Batch [1399]/[3760] Speed: 117.367575 samples/sec accuracy=57.236607 loss=1.843158 lr=0.007494 Epoch[167] Batch [1449]/[3760] Speed: 117.655382 samples/sec accuracy=57.214440 loss=1.844504 lr=0.007488 Epoch[167] Batch [1499]/[3760] Speed: 114.780044 samples/sec accuracy=57.245833 loss=1.843602 lr=0.007481 Epoch[167] Batch [1549]/[3760] Speed: 117.392721 samples/sec accuracy=57.166331 loss=1.847266 lr=0.007474 Epoch[167] Batch [1599]/[3760] Speed: 117.817257 samples/sec accuracy=57.080078 loss=1.850578 lr=0.007467 Epoch[167] Batch [1649]/[3760] Speed: 117.494046 samples/sec accuracy=57.076705 loss=1.850263 lr=0.007460 Epoch[167] Batch [1699]/[3760] Speed: 117.528421 samples/sec accuracy=57.068015 loss=1.850375 lr=0.007454 Epoch[167] Batch [1749]/[3760] Speed: 117.604319 samples/sec accuracy=57.063393 loss=1.850235 lr=0.007447 Epoch[167] Batch [1799]/[3760] Speed: 117.214709 samples/sec accuracy=57.070312 loss=1.849125 lr=0.007440 Epoch[167] Batch [1849]/[3760] Speed: 117.023604 samples/sec accuracy=57.079392 loss=1.847948 lr=0.007433 Epoch[167] Batch [1899]/[3760] Speed: 117.187150 samples/sec accuracy=57.111020 loss=1.847211 lr=0.007427 Epoch[167] Batch [1949]/[3760] Speed: 116.708132 samples/sec accuracy=57.141026 loss=1.846104 lr=0.007420 Epoch[167] Batch [1999]/[3760] Speed: 117.585550 samples/sec accuracy=57.116406 loss=1.846769 lr=0.007413 Epoch[167] Batch [2049]/[3760] Speed: 117.439152 samples/sec accuracy=57.112805 loss=1.846588 lr=0.007406 Epoch[167] Batch [2099]/[3760] Speed: 117.478036 samples/sec accuracy=57.058780 loss=1.849242 lr=0.007399 Epoch[167] Batch [2149]/[3760] Speed: 117.165356 samples/sec accuracy=57.027616 loss=1.850568 lr=0.007393 Epoch[167] Batch [2199]/[3760] Speed: 117.719597 samples/sec accuracy=57.017756 loss=1.851010 lr=0.007386 Epoch[167] Batch [2249]/[3760] Speed: 117.786477 samples/sec accuracy=57.010417 loss=1.850925 lr=0.007379 Epoch[167] Batch [2299]/[3760] Speed: 117.246111 samples/sec accuracy=57.016304 loss=1.851331 lr=0.007373 Epoch[167] Batch [2349]/[3760] Speed: 117.503738 samples/sec accuracy=56.999335 loss=1.851645 lr=0.007366 Epoch[167] Batch [2399]/[3760] Speed: 118.089387 samples/sec accuracy=56.983724 loss=1.851858 lr=0.007359 Epoch[167] Batch [2449]/[3760] Speed: 116.924128 samples/sec accuracy=56.985969 loss=1.851782 lr=0.007352 Epoch[167] Batch [2499]/[3760] Speed: 117.181056 samples/sec accuracy=57.007500 loss=1.851089 lr=0.007346 Epoch[167] Batch [2549]/[3760] Speed: 117.540658 samples/sec accuracy=57.012868 loss=1.850142 lr=0.007339 Epoch[167] Batch [2599]/[3760] Speed: 117.289511 samples/sec accuracy=56.992788 loss=1.851119 lr=0.007332 Epoch[167] Batch [2649]/[3760] Speed: 117.286885 samples/sec accuracy=57.000000 loss=1.850719 lr=0.007325 Epoch[167] Batch [2699]/[3760] Speed: 117.234902 samples/sec accuracy=56.995949 loss=1.851210 lr=0.007319 Epoch[167] Batch [2749]/[3760] Speed: 118.232741 samples/sec accuracy=57.019318 loss=1.851047 lr=0.007312 Epoch[167] Batch [2799]/[3760] Speed: 117.099971 samples/sec accuracy=57.000558 loss=1.850936 lr=0.007305 Epoch[167] Batch [2849]/[3760] Speed: 117.976396 samples/sec accuracy=56.981908 loss=1.852053 lr=0.007299 Epoch[167] Batch [2899]/[3760] Speed: 117.069538 samples/sec accuracy=56.986530 loss=1.852044 lr=0.007292 Epoch[167] Batch [2949]/[3760] Speed: 115.217777 samples/sec accuracy=56.962394 loss=1.852890 lr=0.007285 Epoch[167] Batch [2999]/[3760] Speed: 117.063159 samples/sec accuracy=56.950000 loss=1.853829 lr=0.007278 Epoch[167] Batch [3049]/[3760] Speed: 117.341757 samples/sec accuracy=56.948258 loss=1.853639 lr=0.007272 Epoch[167] Batch [3099]/[3760] Speed: 117.492184 samples/sec accuracy=56.958669 loss=1.853752 lr=0.007265 Epoch[167] Batch [3149]/[3760] Speed: 117.272973 samples/sec accuracy=56.945933 loss=1.854088 lr=0.007258 Epoch[167] Batch [3199]/[3760] Speed: 118.132446 samples/sec accuracy=56.923828 loss=1.854863 lr=0.007252 Epoch[167] Batch [3249]/[3760] Speed: 117.211080 samples/sec accuracy=56.918269 loss=1.855158 lr=0.007245 Epoch[167] Batch [3299]/[3760] Speed: 117.952499 samples/sec accuracy=56.902462 loss=1.855973 lr=0.007238 Epoch[167] Batch [3349]/[3760] Speed: 117.863031 samples/sec accuracy=56.889925 loss=1.856016 lr=0.007232 Epoch[167] Batch [3399]/[3760] Speed: 117.991377 samples/sec accuracy=56.887868 loss=1.855861 lr=0.007225 Epoch[167] Batch [3449]/[3760] Speed: 117.870778 samples/sec accuracy=56.895380 loss=1.855438 lr=0.007218 Epoch[167] Batch [3499]/[3760] Speed: 117.793280 samples/sec accuracy=56.903571 loss=1.854915 lr=0.007212 Epoch[167] Batch [3549]/[3760] Speed: 117.017686 samples/sec accuracy=56.925176 loss=1.853807 lr=0.007205 Epoch[167] Batch [3599]/[3760] Speed: 117.621892 samples/sec accuracy=56.914931 loss=1.854123 lr=0.007198 Epoch[167] Batch [3649]/[3760] Speed: 117.687569 samples/sec accuracy=56.923373 loss=1.853930 lr=0.007192 Epoch[167] Batch [3699]/[3760] Speed: 117.382989 samples/sec accuracy=56.934966 loss=1.853483 lr=0.007185 Epoch[167] Batch [3749]/[3760] Speed: 120.469917 samples/sec accuracy=56.937500 loss=1.853132 lr=0.007178 Batch [0049]/[0303]: acc-top1=55.250000 acc-top5=77.375000 Batch [0099]/[0303]: acc-top1=52.953125 acc-top5=77.015625 Batch [0149]/[0303]: acc-top1=54.135417 acc-top5=77.239583 Batch [0199]/[0303]: acc-top1=56.921875 acc-top5=78.804688 Batch [0249]/[0303]: acc-top1=56.306250 acc-top5=78.681250 Batch [0299]/[0303]: acc-top1=55.718750 acc-top5=78.640625 [Epoch 167] training: accuracy=56.937749 loss=1.853043 [Epoch 167] speed: 116 samples/sec time cost: 2177.117446 [Epoch 167] validation: acc-top1=55.656972 acc-top5=78.599422 loss=2.043897 Epoch[168] Batch [0049]/[3759] Speed: 87.566472 samples/sec accuracy=56.406250 loss=1.837207 lr=0.007170 Epoch[168] Batch [0099]/[3759] Speed: 117.870610 samples/sec accuracy=56.296875 loss=1.847077 lr=0.007164 Epoch[168] Batch [0149]/[3759] Speed: 117.404017 samples/sec accuracy=56.531250 loss=1.838609 lr=0.007157 Epoch[168] Batch [0199]/[3759] Speed: 117.449091 samples/sec accuracy=57.023437 loss=1.824260 lr=0.007150 Epoch[168] Batch [0249]/[3759] Speed: 118.174002 samples/sec accuracy=57.200000 loss=1.817813 lr=0.007144 Epoch[168] Batch [0299]/[3759] Speed: 117.819424 samples/sec accuracy=57.427083 loss=1.809831 lr=0.007137 Epoch[168] Batch [0349]/[3759] Speed: 117.807307 samples/sec accuracy=57.540179 loss=1.815469 lr=0.007130 Epoch[168] Batch [0399]/[3759] Speed: 116.899384 samples/sec accuracy=57.492188 loss=1.816113 lr=0.007124 Epoch[168] Batch [0449]/[3759] 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accuracy=57.914931 loss=1.799522 lr=0.007058 Epoch[168] Batch [0949]/[3759] Speed: 117.707085 samples/sec accuracy=57.886513 loss=1.802645 lr=0.007051 Epoch[168] Batch [0999]/[3759] Speed: 117.461469 samples/sec accuracy=57.826563 loss=1.804755 lr=0.007044 Epoch[168] Batch [1049]/[3759] Speed: 116.790044 samples/sec accuracy=57.861607 loss=1.802549 lr=0.007038 Epoch[168] Batch [1099]/[3759] Speed: 116.748062 samples/sec accuracy=57.818182 loss=1.804689 lr=0.007031 Epoch[168] Batch [1149]/[3759] Speed: 118.174775 samples/sec accuracy=57.815217 loss=1.807254 lr=0.007025 Epoch[168] Batch [1199]/[3759] Speed: 117.560814 samples/sec accuracy=57.803385 loss=1.807273 lr=0.007018 Epoch[168] Batch [1249]/[3759] Speed: 117.133328 samples/sec accuracy=57.720000 loss=1.808499 lr=0.007011 Epoch[168] Batch [1299]/[3759] Speed: 118.092843 samples/sec accuracy=57.748798 loss=1.807328 lr=0.007005 Epoch[168] Batch [1349]/[3759] Speed: 117.191076 samples/sec accuracy=57.751157 loss=1.807944 lr=0.006998 Epoch[168] Batch [1399]/[3759] Speed: 117.107989 samples/sec accuracy=57.751116 loss=1.807776 lr=0.006992 Epoch[168] Batch [1449]/[3759] Speed: 117.588155 samples/sec accuracy=57.725216 loss=1.808636 lr=0.006985 Epoch[168] Batch [1499]/[3759] Speed: 116.825154 samples/sec accuracy=57.669792 loss=1.810147 lr=0.006978 Epoch[168] Batch [1549]/[3759] Speed: 117.983421 samples/sec accuracy=57.676411 loss=1.809503 lr=0.006972 Epoch[168] Batch [1599]/[3759] Speed: 116.832699 samples/sec accuracy=57.678711 loss=1.810291 lr=0.006965 Epoch[168] Batch [1649]/[3759] Speed: 118.428605 samples/sec accuracy=57.662879 loss=1.811136 lr=0.006959 Epoch[168] Batch [1699]/[3759] Speed: 117.688366 samples/sec accuracy=57.614890 loss=1.814034 lr=0.006952 Epoch[168] Batch [1749]/[3759] Speed: 117.847495 samples/sec accuracy=57.600000 loss=1.814495 lr=0.006946 Epoch[168] Batch [1799]/[3759] Speed: 117.848575 samples/sec accuracy=57.640625 loss=1.814179 lr=0.006939 Epoch[168] Batch [1849]/[3759] Speed: 117.518682 samples/sec accuracy=57.665541 loss=1.814129 lr=0.006933 Epoch[168] Batch [1899]/[3759] Speed: 117.490049 samples/sec accuracy=57.666941 loss=1.814823 lr=0.006926 Epoch[168] Batch [1949]/[3759] Speed: 117.985938 samples/sec accuracy=57.680288 loss=1.815339 lr=0.006919 Epoch[168] Batch [1999]/[3759] Speed: 115.332360 samples/sec accuracy=57.661719 loss=1.816596 lr=0.006913 Epoch[168] Batch [2049]/[3759] Speed: 117.380804 samples/sec accuracy=57.655488 loss=1.816724 lr=0.006906 Epoch[168] Batch [2099]/[3759] Speed: 117.096451 samples/sec accuracy=57.619792 loss=1.816951 lr=0.006900 Epoch[168] Batch [2149]/[3759] Speed: 117.808738 samples/sec accuracy=57.618459 loss=1.817665 lr=0.006893 Epoch[168] Batch [2199]/[3759] Speed: 117.561005 samples/sec accuracy=57.611506 loss=1.818621 lr=0.006887 Epoch[168] Batch [2249]/[3759] Speed: 117.485141 samples/sec accuracy=57.622222 loss=1.818255 lr=0.006880 Epoch[168] Batch [2299]/[3759] Speed: 117.160624 samples/sec accuracy=57.627038 loss=1.819125 lr=0.006874 Epoch[168] Batch [2349]/[3759] Speed: 117.976853 samples/sec accuracy=57.628324 loss=1.818825 lr=0.006867 Epoch[168] Batch [2399]/[3759] Speed: 117.437829 samples/sec accuracy=57.605469 loss=1.819683 lr=0.006861 Epoch[168] Batch [2449]/[3759] Speed: 117.892734 samples/sec accuracy=57.605867 loss=1.819530 lr=0.006854 Epoch[168] Batch [2499]/[3759] Speed: 117.737639 samples/sec accuracy=57.596875 loss=1.820156 lr=0.006848 Epoch[168] Batch [2549]/[3759] Speed: 117.731446 samples/sec accuracy=57.606618 loss=1.819798 lr=0.006841 Epoch[168] Batch [2599]/[3759] Speed: 117.574794 samples/sec accuracy=57.603365 loss=1.819646 lr=0.006835 Epoch[168] Batch [2649]/[3759] Speed: 117.888406 samples/sec accuracy=57.625000 loss=1.818561 lr=0.006828 Epoch[168] Batch [2699]/[3759] Speed: 117.596049 samples/sec accuracy=57.625000 loss=1.819365 lr=0.006822 Epoch[168] Batch [2749]/[3759] Speed: 117.458124 samples/sec accuracy=57.638636 loss=1.818533 lr=0.006815 Epoch[168] Batch 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accuracy=57.662981 loss=1.820085 lr=0.006750 Epoch[168] Batch [3299]/[3759] Speed: 117.647716 samples/sec accuracy=57.652462 loss=1.820851 lr=0.006744 Epoch[168] Batch [3349]/[3759] Speed: 117.758462 samples/sec accuracy=57.653451 loss=1.820834 lr=0.006737 Epoch[168] Batch [3399]/[3759] Speed: 117.185218 samples/sec accuracy=57.631893 loss=1.821450 lr=0.006731 Epoch[168] Batch [3449]/[3759] Speed: 115.653069 samples/sec accuracy=57.635417 loss=1.821773 lr=0.006724 Epoch[168] Batch [3499]/[3759] Speed: 117.759865 samples/sec accuracy=57.607589 loss=1.822571 lr=0.006718 Epoch[168] Batch [3549]/[3759] Speed: 117.548084 samples/sec accuracy=57.595070 loss=1.822865 lr=0.006711 Epoch[168] Batch [3599]/[3759] Speed: 118.009490 samples/sec accuracy=57.602431 loss=1.823092 lr=0.006705 Epoch[168] Batch [3649]/[3759] Speed: 117.497188 samples/sec accuracy=57.594606 loss=1.822952 lr=0.006698 Epoch[168] Batch [3699]/[3759] Speed: 117.437339 samples/sec accuracy=57.592905 loss=1.822875 lr=0.006692 Epoch[168] Batch [3749]/[3759] Speed: 121.438613 samples/sec accuracy=57.581250 loss=1.823274 lr=0.006686 Batch [0049]/[0303]: acc-top1=55.781250 acc-top5=78.000000 Batch [0099]/[0303]: acc-top1=53.343750 acc-top5=76.937500 Batch [0149]/[0303]: acc-top1=54.843750 acc-top5=77.770833 Batch [0199]/[0303]: acc-top1=57.578125 acc-top5=79.460938 Batch [0249]/[0303]: acc-top1=57.068750 acc-top5=79.281250 Batch [0299]/[0303]: acc-top1=56.484375 acc-top5=79.223958 [Epoch 168] training: accuracy=57.584713 loss=1.823011 [Epoch 168] speed: 116 samples/sec time cost: 2174.331985 [Epoch 168] validation: acc-top1=56.435644 acc-top5=79.218234 loss=1.969603 Epoch[169] Batch [0049]/[3760] Speed: 87.118040 samples/sec accuracy=59.906250 loss=1.723272 lr=0.006678 Epoch[169] Batch [0099]/[3760] Speed: 117.401533 samples/sec accuracy=59.187500 loss=1.758241 lr=0.006672 Epoch[169] Batch [0149]/[3760] Speed: 117.459460 samples/sec accuracy=58.760417 loss=1.770690 lr=0.006665 Epoch[169] Batch [0199]/[3760] 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accuracy=58.725962 loss=1.768466 lr=0.006601 Epoch[169] Batch [0699]/[3760] Speed: 117.749918 samples/sec accuracy=58.839286 loss=1.765046 lr=0.006595 Epoch[169] Batch [0749]/[3760] Speed: 117.169238 samples/sec accuracy=58.741667 loss=1.769235 lr=0.006588 Epoch[169] Batch [0799]/[3760] Speed: 116.985850 samples/sec accuracy=58.751953 loss=1.768979 lr=0.006582 Epoch[169] Batch [0849]/[3760] Speed: 117.423308 samples/sec accuracy=58.731618 loss=1.769026 lr=0.006575 Epoch[169] Batch [0899]/[3760] Speed: 117.329057 samples/sec accuracy=58.612847 loss=1.774491 lr=0.006569 Epoch[169] Batch [0949]/[3760] Speed: 117.640343 samples/sec accuracy=58.488487 loss=1.778323 lr=0.006563 Epoch[169] Batch [0999]/[3760] Speed: 117.609771 samples/sec accuracy=58.485937 loss=1.778600 lr=0.006556 Epoch[169] Batch [1049]/[3760] Speed: 117.903489 samples/sec accuracy=58.477679 loss=1.779303 lr=0.006550 Epoch[169] Batch [1099]/[3760] Speed: 118.144766 samples/sec accuracy=58.458807 loss=1.781497 lr=0.006543 Epoch[169] Batch [1149]/[3760] Speed: 114.877503 samples/sec accuracy=58.385870 loss=1.784181 lr=0.006537 Epoch[169] Batch [1199]/[3760] Speed: 117.631918 samples/sec accuracy=58.372396 loss=1.784637 lr=0.006531 Epoch[169] Batch [1249]/[3760] Speed: 117.781625 samples/sec accuracy=58.361250 loss=1.786327 lr=0.006524 Epoch[169] Batch [1299]/[3760] Speed: 117.772227 samples/sec accuracy=58.332933 loss=1.787733 lr=0.006518 Epoch[169] Batch [1349]/[3760] Speed: 117.171778 samples/sec accuracy=58.304398 loss=1.788400 lr=0.006512 Epoch[169] Batch [1399]/[3760] Speed: 117.114597 samples/sec accuracy=58.299107 loss=1.788978 lr=0.006505 Epoch[169] Batch [1449]/[3760] Speed: 117.519961 samples/sec accuracy=58.312500 loss=1.789558 lr=0.006499 Epoch[169] Batch [1499]/[3760] Speed: 117.756964 samples/sec accuracy=58.279167 loss=1.790843 lr=0.006492 Epoch[169] Batch [1549]/[3760] Speed: 117.605613 samples/sec accuracy=58.314516 loss=1.789901 lr=0.006486 Epoch[169] Batch [1599]/[3760] Speed: 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loss=1.793425 lr=0.006423 Epoch[169] Batch [2099]/[3760] Speed: 117.896773 samples/sec accuracy=58.272321 loss=1.793104 lr=0.006416 Epoch[169] Batch [2149]/[3760] Speed: 117.615747 samples/sec accuracy=58.258721 loss=1.794463 lr=0.006410 Epoch[169] Batch [2199]/[3760] Speed: 117.269322 samples/sec accuracy=58.238636 loss=1.794535 lr=0.006404 Epoch[169] Batch [2249]/[3760] Speed: 116.677610 samples/sec accuracy=58.234722 loss=1.794314 lr=0.006397 Epoch[169] Batch [2299]/[3760] Speed: 117.742514 samples/sec accuracy=58.202446 loss=1.795474 lr=0.006391 Epoch[169] Batch [2349]/[3760] Speed: 117.710560 samples/sec accuracy=58.198803 loss=1.794523 lr=0.006385 Epoch[169] Batch [2399]/[3760] Speed: 117.567089 samples/sec accuracy=58.194010 loss=1.794075 lr=0.006379 Epoch[169] Batch [2449]/[3760] Speed: 117.308910 samples/sec accuracy=58.227041 loss=1.792802 lr=0.006372 Epoch[169] Batch [2499]/[3760] Speed: 117.330403 samples/sec accuracy=58.228125 loss=1.793238 lr=0.006366 Epoch[169] Batch 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accuracy=58.264583 loss=1.792332 lr=0.006303 Epoch[169] Batch [3049]/[3760] Speed: 117.866933 samples/sec accuracy=58.298668 loss=1.791595 lr=0.006297 Epoch[169] Batch [3099]/[3760] Speed: 117.456161 samples/sec accuracy=58.273185 loss=1.793233 lr=0.006291 Epoch[169] Batch [3149]/[3760] Speed: 117.382730 samples/sec accuracy=58.291667 loss=1.792389 lr=0.006284 Epoch[169] Batch [3199]/[3760] Speed: 117.575811 samples/sec accuracy=58.293945 loss=1.792558 lr=0.006278 Epoch[169] Batch [3249]/[3760] Speed: 117.388973 samples/sec accuracy=58.320192 loss=1.792058 lr=0.006272 Epoch[169] Batch [3299]/[3760] Speed: 117.504901 samples/sec accuracy=58.302083 loss=1.792646 lr=0.006266 Epoch[169] Batch [3349]/[3760] Speed: 117.480651 samples/sec accuracy=58.299907 loss=1.792661 lr=0.006259 Epoch[169] Batch [3399]/[3760] Speed: 116.431237 samples/sec accuracy=58.276195 loss=1.793180 lr=0.006253 Epoch[169] Batch [3449]/[3760] Speed: 117.018879 samples/sec accuracy=58.258605 loss=1.793661 lr=0.006247 Epoch[169] Batch [3499]/[3760] Speed: 116.999923 samples/sec accuracy=58.254018 loss=1.794187 lr=0.006241 Epoch[169] Batch [3549]/[3760] Speed: 116.865248 samples/sec accuracy=58.251761 loss=1.794573 lr=0.006234 Epoch[169] Batch [3599]/[3760] Speed: 117.569937 samples/sec accuracy=58.237413 loss=1.795111 lr=0.006228 Epoch[169] Batch [3649]/[3760] Speed: 117.391070 samples/sec accuracy=58.241010 loss=1.795336 lr=0.006222 Epoch[169] Batch [3699]/[3760] Speed: 117.829634 samples/sec accuracy=58.233108 loss=1.795515 lr=0.006216 Epoch[169] Batch [3749]/[3760] Speed: 120.460189 samples/sec accuracy=58.223750 loss=1.795919 lr=0.006209 Batch [0049]/[0303]: acc-top1=56.125000 acc-top5=76.781250 Batch [0099]/[0303]: acc-top1=53.312500 acc-top5=76.625000 Batch [0149]/[0303]: acc-top1=54.166667 acc-top5=77.364583 Batch [0199]/[0303]: acc-top1=56.914062 acc-top5=78.960938 Batch [0249]/[0303]: acc-top1=56.312500 acc-top5=78.706250 Batch [0299]/[0303]: acc-top1=55.911458 acc-top5=78.677083 [Epoch 169] training: accuracy=58.218916 loss=1.795675 [Epoch 169] speed: 116 samples/sec time cost: 2174.878059 [Epoch 169] validation: acc-top1=55.894183 acc-top5=78.712871 loss=2.019883 Epoch[170] Batch [0049]/[3760] Speed: 87.138326 samples/sec accuracy=60.468750 loss=1.704439 lr=0.006202 Epoch[170] Batch [0099]/[3760] Speed: 117.166259 samples/sec accuracy=59.375000 loss=1.753280 lr=0.006196 Epoch[170] Batch [0149]/[3760] Speed: 117.224553 samples/sec accuracy=59.250000 loss=1.767374 lr=0.006189 Epoch[170] Batch [0199]/[3760] Speed: 117.483485 samples/sec accuracy=59.070312 loss=1.771495 lr=0.006183 Epoch[170] Batch [0249]/[3760] Speed: 117.325229 samples/sec accuracy=59.062500 loss=1.770721 lr=0.006177 Epoch[170] Batch [0299]/[3760] Speed: 116.771768 samples/sec accuracy=59.093750 loss=1.757641 lr=0.006171 Epoch[170] Batch [0349]/[3760] Speed: 115.108928 samples/sec accuracy=59.026786 loss=1.755280 lr=0.006165 Epoch[170] Batch [0399]/[3760] Speed: 117.043361 samples/sec accuracy=58.906250 loss=1.759347 lr=0.006158 Epoch[170] Batch [0449]/[3760] Speed: 116.777843 samples/sec accuracy=58.951389 loss=1.760507 lr=0.006152 Epoch[170] Batch [0499]/[3760] Speed: 116.570911 samples/sec accuracy=58.765625 loss=1.767312 lr=0.006146 Epoch[170] Batch [0549]/[3760] Speed: 117.519796 samples/sec accuracy=58.812500 loss=1.759705 lr=0.006140 Epoch[170] Batch [0599]/[3760] Speed: 117.858853 samples/sec accuracy=58.919271 loss=1.755777 lr=0.006134 Epoch[170] Batch [0649]/[3760] Speed: 117.020330 samples/sec accuracy=59.043269 loss=1.751798 lr=0.006127 Epoch[170] Batch [0699]/[3760] Speed: 117.472473 samples/sec accuracy=59.015625 loss=1.750683 lr=0.006121 Epoch[170] Batch [0749]/[3760] Speed: 117.273359 samples/sec accuracy=59.020833 loss=1.748947 lr=0.006115 Epoch[170] Batch [0799]/[3760] Speed: 117.576385 samples/sec accuracy=58.884766 loss=1.756811 lr=0.006109 Epoch[170] Batch [0849]/[3760] Speed: 116.903074 samples/sec accuracy=58.869485 loss=1.757827 lr=0.006103 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loss=1.763079 lr=0.005986 Epoch[170] Batch [1849]/[3760] Speed: 117.511329 samples/sec accuracy=58.834459 loss=1.762033 lr=0.005980 Epoch[170] Batch [1899]/[3760] Speed: 116.978242 samples/sec accuracy=58.799342 loss=1.764226 lr=0.005974 Epoch[170] Batch [1949]/[3760] Speed: 117.244403 samples/sec accuracy=58.811699 loss=1.764540 lr=0.005968 Epoch[170] Batch [1999]/[3760] Speed: 117.304670 samples/sec accuracy=58.800781 loss=1.764902 lr=0.005962 Epoch[170] Batch [2049]/[3760] Speed: 118.218194 samples/sec accuracy=58.781250 loss=1.766051 lr=0.005955 Epoch[170] Batch [2099]/[3760] Speed: 117.766304 samples/sec accuracy=58.779762 loss=1.766627 lr=0.005949 Epoch[170] Batch [2149]/[3760] Speed: 117.713296 samples/sec accuracy=58.824855 loss=1.765187 lr=0.005943 Epoch[170] Batch [2199]/[3760] Speed: 117.916101 samples/sec accuracy=58.879261 loss=1.763825 lr=0.005937 Epoch[170] Batch [2249]/[3760] Speed: 117.847353 samples/sec accuracy=58.927083 loss=1.763097 lr=0.005931 Epoch[170] Batch 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accuracy=58.928977 loss=1.761952 lr=0.005870 Epoch[170] Batch [2799]/[3760] Speed: 117.644802 samples/sec accuracy=58.925223 loss=1.762197 lr=0.005864 Epoch[170] Batch [2849]/[3760] Speed: 118.033245 samples/sec accuracy=58.916667 loss=1.762628 lr=0.005858 Epoch[170] Batch [2899]/[3760] Speed: 117.276591 samples/sec accuracy=58.906789 loss=1.763104 lr=0.005852 Epoch[170] Batch [2949]/[3760] Speed: 118.125374 samples/sec accuracy=58.909958 loss=1.762961 lr=0.005846 Epoch[170] Batch [2999]/[3760] Speed: 117.448232 samples/sec accuracy=58.886979 loss=1.764001 lr=0.005840 Epoch[170] Batch [3049]/[3760] Speed: 117.443831 samples/sec accuracy=58.883709 loss=1.764101 lr=0.005834 Epoch[170] Batch [3099]/[3760] Speed: 117.730267 samples/sec accuracy=58.876512 loss=1.763780 lr=0.005828 Epoch[170] Batch [3149]/[3760] Speed: 117.127975 samples/sec accuracy=58.884921 loss=1.763461 lr=0.005822 Epoch[170] Batch [3199]/[3760] Speed: 117.984896 samples/sec accuracy=58.886230 loss=1.763275 lr=0.005816 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117.625596 samples/sec accuracy=58.845861 loss=1.765007 lr=0.005756 Epoch[170] Batch [3749]/[3760] Speed: 120.310283 samples/sec accuracy=58.855000 loss=1.764744 lr=0.005750 Batch [0049]/[0303]: acc-top1=55.906250 acc-top5=77.812500 Batch [0099]/[0303]: acc-top1=53.171875 acc-top5=76.765625 Batch [0149]/[0303]: acc-top1=54.739583 acc-top5=77.354167 Batch [0199]/[0303]: acc-top1=57.484375 acc-top5=78.945312 Batch [0249]/[0303]: acc-top1=56.837500 acc-top5=78.787500 Batch [0299]/[0303]: acc-top1=56.104167 acc-top5=78.859375 [Epoch 170] training: accuracy=58.855967 loss=1.764510 [Epoch 170] speed: 116 samples/sec time cost: 2176.356266 [Epoch 170] validation: acc-top1=56.084983 acc-top5=78.867574 loss=2.002192 Epoch[171] Batch [0049]/[3759] Speed: 86.991614 samples/sec accuracy=60.187500 loss=1.714602 lr=0.005742 Epoch[171] Batch [0099]/[3759] Speed: 117.846595 samples/sec accuracy=60.000000 loss=1.723903 lr=0.005736 Epoch[171] Batch [0149]/[3759] Speed: 117.499344 samples/sec accuracy=60.468750 loss=1.705502 lr=0.005730 Epoch[171] Batch [0199]/[3759] Speed: 117.646564 samples/sec accuracy=60.093750 loss=1.717030 lr=0.005724 Epoch[171] Batch [0249]/[3759] Speed: 117.124664 samples/sec accuracy=60.318750 loss=1.710484 lr=0.005718 Epoch[171] Batch [0299]/[3759] Speed: 118.100386 samples/sec accuracy=60.218750 loss=1.719190 lr=0.005712 Epoch[171] Batch [0349]/[3759] Speed: 117.093260 samples/sec accuracy=60.044643 loss=1.712737 lr=0.005706 Epoch[171] Batch [0399]/[3759] Speed: 117.904498 samples/sec accuracy=59.960938 loss=1.717145 lr=0.005700 Epoch[171] Batch [0449]/[3759] Speed: 117.190408 samples/sec accuracy=60.013889 loss=1.716057 lr=0.005694 Epoch[171] Batch [0499]/[3759] Speed: 117.829163 samples/sec accuracy=60.065625 loss=1.714965 lr=0.005688 Epoch[171] Batch [0549]/[3759] Speed: 117.353663 samples/sec accuracy=59.875000 loss=1.720914 lr=0.005682 Epoch[171] Batch [0599]/[3759] Speed: 117.827411 samples/sec accuracy=59.848958 loss=1.722749 lr=0.005677 Epoch[171] Batch [0649]/[3759] Speed: 117.665956 samples/sec accuracy=59.918269 loss=1.722038 lr=0.005671 Epoch[171] Batch [0699]/[3759] Speed: 117.784663 samples/sec accuracy=59.796875 loss=1.725128 lr=0.005665 Epoch[171] Batch [0749]/[3759] Speed: 117.329667 samples/sec accuracy=59.735417 loss=1.726044 lr=0.005659 Epoch[171] Batch [0799]/[3759] Speed: 117.024846 samples/sec accuracy=59.708984 loss=1.724982 lr=0.005653 Epoch[171] Batch [0849]/[3759] Speed: 115.709101 samples/sec accuracy=59.669118 loss=1.728705 lr=0.005647 Epoch[171] Batch [0899]/[3759] Speed: 117.134066 samples/sec accuracy=59.605903 loss=1.728428 lr=0.005641 Epoch[171] Batch [0949]/[3759] Speed: 118.038799 samples/sec accuracy=59.608553 loss=1.727844 lr=0.005635 Epoch[171] Batch [0999]/[3759] Speed: 117.962314 samples/sec accuracy=59.631250 loss=1.729033 lr=0.005629 Epoch[171] Batch [1049]/[3759] Speed: 117.506117 samples/sec accuracy=59.660714 loss=1.727065 lr=0.005623 Epoch[171] Batch [1099]/[3759] Speed: 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loss=1.731531 lr=0.005564 Epoch[171] Batch [1599]/[3759] Speed: 117.405510 samples/sec accuracy=59.496094 loss=1.731221 lr=0.005558 Epoch[171] Batch [1649]/[3759] Speed: 116.398174 samples/sec accuracy=59.418561 loss=1.734558 lr=0.005552 Epoch[171] Batch [1699]/[3759] Speed: 117.705628 samples/sec accuracy=59.424632 loss=1.733879 lr=0.005546 Epoch[171] Batch [1749]/[3759] Speed: 117.835985 samples/sec accuracy=59.456250 loss=1.732882 lr=0.005540 Epoch[171] Batch [1799]/[3759] Speed: 116.978876 samples/sec accuracy=59.466146 loss=1.733281 lr=0.005534 Epoch[171] Batch [1849]/[3759] Speed: 117.445549 samples/sec accuracy=59.479730 loss=1.732074 lr=0.005528 Epoch[171] Batch [1899]/[3759] Speed: 117.092252 samples/sec accuracy=59.486020 loss=1.732720 lr=0.005522 Epoch[171] Batch [1949]/[3759] Speed: 116.976773 samples/sec accuracy=59.440705 loss=1.734099 lr=0.005516 Epoch[171] Batch [1999]/[3759] Speed: 117.490293 samples/sec accuracy=59.433594 loss=1.733822 lr=0.005511 Epoch[171] Batch 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accuracy=59.503125 loss=1.733021 lr=0.005452 Epoch[171] Batch [2549]/[3759] Speed: 118.220507 samples/sec accuracy=59.512868 loss=1.732300 lr=0.005446 Epoch[171] Batch [2599]/[3759] Speed: 117.492870 samples/sec accuracy=59.516827 loss=1.731871 lr=0.005440 Epoch[171] Batch [2649]/[3759] Speed: 117.651197 samples/sec accuracy=59.516509 loss=1.732454 lr=0.005434 Epoch[171] Batch [2699]/[3759] Speed: 117.034686 samples/sec accuracy=59.524306 loss=1.732036 lr=0.005428 Epoch[171] Batch [2749]/[3759] Speed: 117.222205 samples/sec accuracy=59.522727 loss=1.732793 lr=0.005423 Epoch[171] Batch [2799]/[3759] Speed: 116.951837 samples/sec accuracy=59.522879 loss=1.732710 lr=0.005417 Epoch[171] Batch [2849]/[3759] Speed: 117.113122 samples/sec accuracy=59.530154 loss=1.733142 lr=0.005411 Epoch[171] Batch [2899]/[3759] Speed: 117.770068 samples/sec accuracy=59.523168 loss=1.733884 lr=0.005405 Epoch[171] Batch [2949]/[3759] Speed: 116.770600 samples/sec accuracy=59.525424 loss=1.733971 lr=0.005399 Epoch[171] Batch [2999]/[3759] Speed: 116.925677 samples/sec accuracy=59.526042 loss=1.733631 lr=0.005393 Epoch[171] Batch [3049]/[3759] Speed: 117.429195 samples/sec accuracy=59.505635 loss=1.734678 lr=0.005388 Epoch[171] Batch [3099]/[3759] Speed: 117.367779 samples/sec accuracy=59.489415 loss=1.735327 lr=0.005382 Epoch[171] Batch [3149]/[3759] Speed: 117.353917 samples/sec accuracy=59.480655 loss=1.735839 lr=0.005376 Epoch[171] Batch [3199]/[3759] Speed: 117.387541 samples/sec accuracy=59.465332 loss=1.736682 lr=0.005370 Epoch[171] Batch [3249]/[3759] Speed: 117.737469 samples/sec accuracy=59.469231 loss=1.736413 lr=0.005364 Epoch[171] Batch [3299]/[3759] Speed: 117.512557 samples/sec accuracy=59.484375 loss=1.736625 lr=0.005359 Epoch[171] Batch [3349]/[3759] Speed: 117.513194 samples/sec accuracy=59.457090 loss=1.737796 lr=0.005353 Epoch[171] Batch [3399]/[3759] Speed: 118.018038 samples/sec accuracy=59.460018 loss=1.737771 lr=0.005347 Epoch[171] Batch [3449]/[3759] Speed: 117.797457 samples/sec accuracy=59.449728 loss=1.738375 lr=0.005341 Epoch[171] Batch [3499]/[3759] Speed: 118.253093 samples/sec accuracy=59.448661 loss=1.738437 lr=0.005335 Epoch[171] Batch [3549]/[3759] Speed: 117.059689 samples/sec accuracy=59.444542 loss=1.738936 lr=0.005330 Epoch[171] Batch [3599]/[3759] Speed: 117.709742 samples/sec accuracy=59.421007 loss=1.740059 lr=0.005324 Epoch[171] Batch [3649]/[3759] Speed: 117.427968 samples/sec accuracy=59.412243 loss=1.740357 lr=0.005318 Epoch[171] Batch [3699]/[3759] Speed: 117.109960 samples/sec accuracy=59.409206 loss=1.740777 lr=0.005312 Epoch[171] Batch [3749]/[3759] Speed: 121.261427 samples/sec accuracy=59.404167 loss=1.740985 lr=0.005306 Batch [0049]/[0303]: acc-top1=55.562500 acc-top5=77.625000 Batch [0099]/[0303]: acc-top1=53.421875 acc-top5=77.281250 Batch [0149]/[0303]: acc-top1=55.500000 acc-top5=78.031250 Batch [0199]/[0303]: acc-top1=58.312500 acc-top5=79.804688 Batch [0249]/[0303]: acc-top1=57.812500 acc-top5=79.668750 Batch [0299]/[0303]: acc-top1=57.250000 acc-top5=79.687500 [Epoch 171] training: accuracy=59.404513 loss=1.741174 [Epoch 171] speed: 116 samples/sec time cost: 2175.928563 [Epoch 171] validation: acc-top1=57.193688 acc-top5=79.672030 loss=1.956444 Epoch[172] Batch [0049]/[3760] Speed: 88.345412 samples/sec accuracy=60.781250 loss=1.693393 lr=0.005300 Epoch[172] Batch [0099]/[3760] Speed: 117.646101 samples/sec accuracy=60.296875 loss=1.700644 lr=0.005294 Epoch[172] Batch [0149]/[3760] Speed: 117.859135 samples/sec accuracy=60.489583 loss=1.701721 lr=0.005288 Epoch[172] Batch [0199]/[3760] Speed: 117.970647 samples/sec accuracy=60.750000 loss=1.687833 lr=0.005282 Epoch[172] Batch [0249]/[3760] Speed: 117.166689 samples/sec accuracy=60.562500 loss=1.689672 lr=0.005276 Epoch[172] Batch [0299]/[3760] Speed: 117.481095 samples/sec accuracy=60.692708 loss=1.679687 lr=0.005271 Epoch[172] Batch [0349]/[3760] Speed: 116.915861 samples/sec accuracy=60.571429 loss=1.680924 lr=0.005265 Epoch[172] 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samples/sec accuracy=60.448529 loss=1.694785 lr=0.005207 Epoch[172] Batch [0899]/[3760] Speed: 116.812532 samples/sec accuracy=60.442708 loss=1.692477 lr=0.005202 Epoch[172] Batch [0949]/[3760] Speed: 117.541295 samples/sec accuracy=60.381579 loss=1.695030 lr=0.005196 Epoch[172] Batch [0999]/[3760] Speed: 117.644671 samples/sec accuracy=60.354688 loss=1.697762 lr=0.005190 Epoch[172] Batch [1049]/[3760] Speed: 117.533053 samples/sec accuracy=60.334821 loss=1.700071 lr=0.005185 Epoch[172] Batch [1099]/[3760] Speed: 117.901849 samples/sec accuracy=60.342330 loss=1.699003 lr=0.005179 Epoch[172] Batch [1149]/[3760] Speed: 117.448727 samples/sec accuracy=60.355978 loss=1.696169 lr=0.005173 Epoch[172] Batch [1199]/[3760] Speed: 117.040650 samples/sec accuracy=60.377604 loss=1.694490 lr=0.005167 Epoch[172] Batch [1249]/[3760] Speed: 117.895358 samples/sec accuracy=60.370000 loss=1.695717 lr=0.005162 Epoch[172] Batch [1299]/[3760] Speed: 117.380482 samples/sec accuracy=60.347356 loss=1.695397 lr=0.005156 Epoch[172] Batch [1349]/[3760] Speed: 117.405845 samples/sec accuracy=60.371528 loss=1.696830 lr=0.005150 Epoch[172] Batch [1399]/[3760] Speed: 117.139847 samples/sec accuracy=60.380580 loss=1.695793 lr=0.005145 Epoch[172] Batch [1449]/[3760] Speed: 118.167164 samples/sec accuracy=60.366379 loss=1.695952 lr=0.005139 Epoch[172] Batch [1499]/[3760] Speed: 117.380856 samples/sec accuracy=60.408333 loss=1.694013 lr=0.005133 Epoch[172] Batch [1549]/[3760] Speed: 115.789140 samples/sec accuracy=60.372984 loss=1.694850 lr=0.005128 Epoch[172] Batch [1599]/[3760] Speed: 117.833883 samples/sec accuracy=60.395508 loss=1.693800 lr=0.005122 Epoch[172] Batch [1649]/[3760] Speed: 117.254719 samples/sec accuracy=60.345644 loss=1.694588 lr=0.005116 Epoch[172] Batch [1699]/[3760] Speed: 117.295832 samples/sec accuracy=60.369485 loss=1.693905 lr=0.005110 Epoch[172] Batch [1749]/[3760] Speed: 118.085181 samples/sec accuracy=60.366964 loss=1.694167 lr=0.005105 Epoch[172] Batch [1799]/[3760] Speed: 116.942395 samples/sec accuracy=60.358507 loss=1.694948 lr=0.005099 Epoch[172] Batch [1849]/[3760] Speed: 116.876220 samples/sec accuracy=60.348818 loss=1.695775 lr=0.005093 Epoch[172] Batch [1899]/[3760] Speed: 117.652590 samples/sec accuracy=60.334704 loss=1.696153 lr=0.005088 Epoch[172] Batch [1949]/[3760] Speed: 116.848548 samples/sec accuracy=60.309295 loss=1.698118 lr=0.005082 Epoch[172] Batch [1999]/[3760] Speed: 116.922765 samples/sec accuracy=60.304688 loss=1.698451 lr=0.005076 Epoch[172] Batch [2049]/[3760] Speed: 117.659523 samples/sec accuracy=60.310976 loss=1.697895 lr=0.005071 Epoch[172] Batch [2099]/[3760] Speed: 117.035980 samples/sec accuracy=60.349702 loss=1.696285 lr=0.005065 Epoch[172] Batch [2149]/[3760] Speed: 117.323342 samples/sec accuracy=60.348110 loss=1.696336 lr=0.005059 Epoch[172] Batch [2199]/[3760] Speed: 117.253923 samples/sec accuracy=60.335938 loss=1.696900 lr=0.005054 Epoch[172] Batch [2249]/[3760] Speed: 117.880124 samples/sec accuracy=60.329861 loss=1.697805 lr=0.005048 Epoch[172] Batch [2299]/[3760] Speed: 117.077626 samples/sec accuracy=60.326087 loss=1.698369 lr=0.005043 Epoch[172] Batch [2349]/[3760] Speed: 117.408188 samples/sec accuracy=60.305186 loss=1.699754 lr=0.005037 Epoch[172] Batch [2399]/[3760] Speed: 118.435793 samples/sec accuracy=60.281250 loss=1.700781 lr=0.005031 Epoch[172] Batch [2449]/[3760] Speed: 117.866319 samples/sec accuracy=60.257653 loss=1.701493 lr=0.005026 Epoch[172] Batch [2499]/[3760] Speed: 117.546234 samples/sec accuracy=60.253750 loss=1.701790 lr=0.005020 Epoch[172] Batch [2549]/[3760] Speed: 117.256375 samples/sec accuracy=60.259804 loss=1.702072 lr=0.005014 Epoch[172] Batch [2599]/[3760] Speed: 116.961301 samples/sec accuracy=60.254207 loss=1.701979 lr=0.005009 Epoch[172] Batch [2649]/[3760] Speed: 117.447104 samples/sec accuracy=60.247052 loss=1.702204 lr=0.005003 Epoch[172] Batch [2699]/[3760] Speed: 116.700627 samples/sec accuracy=60.246528 loss=1.702296 lr=0.004997 Epoch[172] Batch [2749]/[3760] Speed: 117.277795 samples/sec accuracy=60.248864 loss=1.701493 lr=0.004992 Epoch[172] Batch [2799]/[3760] Speed: 117.083711 samples/sec accuracy=60.248884 loss=1.701631 lr=0.004986 Epoch[172] Batch [2849]/[3760] Speed: 116.971777 samples/sec accuracy=60.221491 loss=1.702209 lr=0.004981 Epoch[172] Batch [2899]/[3760] Speed: 116.886861 samples/sec accuracy=60.239224 loss=1.700873 lr=0.004975 Epoch[172] Batch [2949]/[3760] Speed: 117.309007 samples/sec accuracy=60.242055 loss=1.701376 lr=0.004969 Epoch[172] Batch [2999]/[3760] Speed: 116.903466 samples/sec accuracy=60.251562 loss=1.700877 lr=0.004964 Epoch[172] Batch [3049]/[3760] Speed: 115.511349 samples/sec accuracy=60.275102 loss=1.699309 lr=0.004958 Epoch[172] Batch [3099]/[3760] Speed: 118.015389 samples/sec accuracy=60.265625 loss=1.699778 lr=0.004953 Epoch[172] Batch [3149]/[3760] Speed: 117.428628 samples/sec accuracy=60.242560 loss=1.700401 lr=0.004947 Epoch[172] Batch [3199]/[3760] Speed: 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loss=1.702512 lr=0.004891 Epoch[172] Batch [3699]/[3760] Speed: 117.290192 samples/sec accuracy=60.202280 loss=1.703674 lr=0.004886 Epoch[172] Batch [3749]/[3760] Speed: 120.022288 samples/sec accuracy=60.184583 loss=1.704277 lr=0.004880 Batch [0049]/[0303]: acc-top1=57.250000 acc-top5=78.312500 Batch [0099]/[0303]: acc-top1=53.843750 acc-top5=77.203125 Batch [0149]/[0303]: acc-top1=55.802083 acc-top5=78.343750 Batch [0199]/[0303]: acc-top1=58.257812 acc-top5=80.093750 Batch [0249]/[0303]: acc-top1=57.831250 acc-top5=79.812500 Batch [0299]/[0303]: acc-top1=57.572917 acc-top5=79.968750 [Epoch 172] training: accuracy=60.180352 loss=1.704418 [Epoch 172] speed: 116 samples/sec time cost: 2176.443128 [Epoch 172] validation: acc-top1=57.487624 acc-top5=79.965965 loss=1.934698 Epoch[173] Batch [0049]/[3760] Speed: 87.111107 samples/sec accuracy=60.687500 loss=1.656857 lr=0.004873 Epoch[173] Batch [0099]/[3760] Speed: 117.908354 samples/sec accuracy=60.046875 loss=1.674227 lr=0.004868 Epoch[173] Batch [0149]/[3760] Speed: 117.681390 samples/sec accuracy=60.739583 loss=1.657629 lr=0.004862 Epoch[173] Batch [0199]/[3760] Speed: 117.000328 samples/sec accuracy=60.953125 loss=1.650455 lr=0.004857 Epoch[173] Batch [0249]/[3760] Speed: 116.962440 samples/sec accuracy=60.937500 loss=1.653864 lr=0.004851 Epoch[173] Batch [0299]/[3760] Speed: 117.852162 samples/sec accuracy=60.989583 loss=1.664694 lr=0.004846 Epoch[173] Batch [0349]/[3760] Speed: 117.252185 samples/sec accuracy=61.156250 loss=1.659017 lr=0.004840 Epoch[173] Batch [0399]/[3760] Speed: 117.666345 samples/sec accuracy=61.191406 loss=1.657109 lr=0.004835 Epoch[173] Batch [0449]/[3760] Speed: 118.004604 samples/sec accuracy=61.291667 loss=1.656038 lr=0.004829 Epoch[173] Batch [0499]/[3760] Speed: 117.339948 samples/sec accuracy=61.325000 loss=1.652625 lr=0.004824 Epoch[173] Batch [0549]/[3760] Speed: 117.162451 samples/sec accuracy=61.267045 loss=1.651612 lr=0.004818 Epoch[173] Batch [0599]/[3760] Speed: 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loss=1.665416 lr=0.004763 Epoch[173] Batch [1099]/[3760] Speed: 117.605578 samples/sec accuracy=61.109375 loss=1.663801 lr=0.004757 Epoch[173] Batch [1149]/[3760] Speed: 117.079511 samples/sec accuracy=61.039402 loss=1.667603 lr=0.004752 Epoch[173] Batch [1199]/[3760] Speed: 117.684834 samples/sec accuracy=61.089844 loss=1.666961 lr=0.004746 Epoch[173] Batch [1249]/[3760] Speed: 117.560470 samples/sec accuracy=61.050000 loss=1.667117 lr=0.004741 Epoch[173] Batch [1299]/[3760] Speed: 116.794390 samples/sec accuracy=61.075721 loss=1.664697 lr=0.004736 Epoch[173] Batch [1349]/[3760] Speed: 117.406280 samples/sec accuracy=61.081019 loss=1.663873 lr=0.004730 Epoch[173] Batch [1399]/[3760] Speed: 117.520451 samples/sec accuracy=61.082589 loss=1.663072 lr=0.004725 Epoch[173] Batch [1449]/[3760] Speed: 116.971305 samples/sec accuracy=61.084052 loss=1.663816 lr=0.004719 Epoch[173] Batch [1499]/[3760] Speed: 117.432190 samples/sec accuracy=61.064583 loss=1.664868 lr=0.004714 Epoch[173] Batch 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accuracy=60.993750 loss=1.667188 lr=0.004659 Epoch[173] Batch [2049]/[3760] Speed: 117.510645 samples/sec accuracy=60.999238 loss=1.668058 lr=0.004654 Epoch[173] Batch [2099]/[3760] Speed: 116.859998 samples/sec accuracy=61.006696 loss=1.668282 lr=0.004648 Epoch[173] Batch [2149]/[3760] Speed: 117.588141 samples/sec accuracy=60.992733 loss=1.668916 lr=0.004643 Epoch[173] Batch [2199]/[3760] Speed: 117.826372 samples/sec accuracy=60.985085 loss=1.670038 lr=0.004637 Epoch[173] Batch [2249]/[3760] Speed: 116.622634 samples/sec accuracy=60.990972 loss=1.669501 lr=0.004632 Epoch[173] Batch [2299]/[3760] Speed: 117.743659 samples/sec accuracy=60.991848 loss=1.669825 lr=0.004627 Epoch[173] Batch [2349]/[3760] Speed: 115.632116 samples/sec accuracy=60.957447 loss=1.671724 lr=0.004621 Epoch[173] Batch [2399]/[3760] Speed: 116.621626 samples/sec accuracy=60.932943 loss=1.672428 lr=0.004616 Epoch[173] Batch [2449]/[3760] Speed: 117.729885 samples/sec accuracy=60.940689 loss=1.673440 lr=0.004610 Epoch[173] Batch [2499]/[3760] Speed: 118.256443 samples/sec accuracy=60.935000 loss=1.673542 lr=0.004605 Epoch[173] Batch [2549]/[3760] Speed: 117.127842 samples/sec accuracy=60.920956 loss=1.673875 lr=0.004599 Epoch[173] Batch [2599]/[3760] Speed: 117.370622 samples/sec accuracy=60.901442 loss=1.674287 lr=0.004594 Epoch[173] Batch [2649]/[3760] Speed: 116.950230 samples/sec accuracy=60.885613 loss=1.674681 lr=0.004589 Epoch[173] Batch [2699]/[3760] Speed: 117.098098 samples/sec accuracy=60.872685 loss=1.674328 lr=0.004583 Epoch[173] Batch [2749]/[3760] Speed: 117.359548 samples/sec accuracy=60.862500 loss=1.674769 lr=0.004578 Epoch[173] Batch [2799]/[3760] Speed: 117.256231 samples/sec accuracy=60.855469 loss=1.674818 lr=0.004572 Epoch[173] Batch [2849]/[3760] Speed: 117.468279 samples/sec accuracy=60.845943 loss=1.675228 lr=0.004567 Epoch[173] Batch [2899]/[3760] Speed: 117.595272 samples/sec accuracy=60.818427 loss=1.676584 lr=0.004562 Epoch[173] Batch [2949]/[3760] Speed: 117.392202 samples/sec accuracy=60.839513 loss=1.675618 lr=0.004556 Epoch[173] Batch [2999]/[3760] Speed: 117.585118 samples/sec accuracy=60.838542 loss=1.675831 lr=0.004551 Epoch[173] Batch [3049]/[3760] Speed: 116.884782 samples/sec accuracy=60.819160 loss=1.676373 lr=0.004546 Epoch[173] Batch [3099]/[3760] Speed: 116.805696 samples/sec accuracy=60.816532 loss=1.676498 lr=0.004540 Epoch[173] Batch [3149]/[3760] Speed: 118.029013 samples/sec accuracy=60.801091 loss=1.676795 lr=0.004535 Epoch[173] Batch [3199]/[3760] Speed: 117.090667 samples/sec accuracy=60.818848 loss=1.676834 lr=0.004529 Epoch[173] Batch [3249]/[3760] Speed: 117.381691 samples/sec accuracy=60.806250 loss=1.676799 lr=0.004524 Epoch[173] Batch [3299]/[3760] Speed: 116.878720 samples/sec accuracy=60.793561 loss=1.677383 lr=0.004519 Epoch[173] Batch [3349]/[3760] Speed: 117.527682 samples/sec accuracy=60.782649 loss=1.677633 lr=0.004513 Epoch[173] Batch [3399]/[3760] Speed: 117.418731 samples/sec accuracy=60.785386 loss=1.677945 lr=0.004508 Epoch[173] Batch [3449]/[3760] Speed: 117.160358 samples/sec accuracy=60.795743 loss=1.677612 lr=0.004503 Epoch[173] Batch [3499]/[3760] Speed: 117.682537 samples/sec accuracy=60.788839 loss=1.677577 lr=0.004497 Epoch[173] Batch [3549]/[3760] Speed: 116.328419 samples/sec accuracy=60.773768 loss=1.678193 lr=0.004492 Epoch[173] Batch [3599]/[3760] Speed: 117.285403 samples/sec accuracy=60.765191 loss=1.678857 lr=0.004487 Epoch[173] Batch [3649]/[3760] Speed: 118.759722 samples/sec accuracy=60.754281 loss=1.679326 lr=0.004481 Epoch[173] Batch [3699]/[3760] Speed: 117.032990 samples/sec accuracy=60.760135 loss=1.679325 lr=0.004476 Epoch[173] Batch [3749]/[3760] Speed: 120.770491 samples/sec accuracy=60.737083 loss=1.680200 lr=0.004471 Batch [0049]/[0303]: acc-top1=58.062500 acc-top5=79.156250 Batch [0099]/[0303]: acc-top1=55.609375 acc-top5=78.203125 Batch [0149]/[0303]: acc-top1=56.562500 acc-top5=78.739583 Batch [0199]/[0303]: acc-top1=59.085938 acc-top5=80.296875 Batch [0249]/[0303]: acc-top1=58.293750 acc-top5=80.031250 Batch [0299]/[0303]: acc-top1=57.604167 acc-top5=80.052083 [Epoch 173] training: accuracy=60.740525 loss=1.680370 [Epoch 173] speed: 116 samples/sec time cost: 2176.454246 [Epoch 173] validation: acc-top1=57.564975 acc-top5=80.048474 loss=1.950310 Epoch[174] Batch [0049]/[3759] Speed: 85.960135 samples/sec accuracy=61.312500 loss=1.663212 lr=0.004464 Epoch[174] Batch [0099]/[3759] Speed: 117.766847 samples/sec accuracy=61.312500 loss=1.659798 lr=0.004459 Epoch[174] Batch [0149]/[3759] Speed: 116.913918 samples/sec accuracy=60.927083 loss=1.672939 lr=0.004454 Epoch[174] Batch [0199]/[3759] Speed: 117.851596 samples/sec accuracy=61.203125 loss=1.661977 lr=0.004448 Epoch[174] Batch [0249]/[3759] Speed: 116.775708 samples/sec accuracy=61.418750 loss=1.649636 lr=0.004443 Epoch[174] Batch [0299]/[3759] Speed: 117.431941 samples/sec accuracy=61.489583 loss=1.648242 lr=0.004438 Epoch[174] Batch [0349]/[3759] Speed: 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loss=1.643663 lr=0.004385 Epoch[174] Batch [0849]/[3759] Speed: 117.353046 samples/sec accuracy=61.555147 loss=1.642277 lr=0.004379 Epoch[174] Batch [0899]/[3759] Speed: 117.220070 samples/sec accuracy=61.500000 loss=1.645271 lr=0.004374 Epoch[174] Batch [0949]/[3759] Speed: 117.181032 samples/sec accuracy=61.526316 loss=1.643902 lr=0.004369 Epoch[174] Batch [0999]/[3759] Speed: 117.767169 samples/sec accuracy=61.432812 loss=1.646359 lr=0.004364 Epoch[174] Batch [1049]/[3759] Speed: 117.706014 samples/sec accuracy=61.447917 loss=1.644467 lr=0.004358 Epoch[174] Batch [1099]/[3759] Speed: 116.818800 samples/sec accuracy=61.443182 loss=1.644246 lr=0.004353 Epoch[174] Batch [1149]/[3759] Speed: 117.322438 samples/sec accuracy=61.429348 loss=1.645430 lr=0.004348 Epoch[174] Batch [1199]/[3759] Speed: 117.485419 samples/sec accuracy=61.399740 loss=1.645890 lr=0.004343 Epoch[174] Batch [1249]/[3759] Speed: 118.041925 samples/sec accuracy=61.381250 loss=1.646314 lr=0.004337 Epoch[174] Batch 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accuracy=61.341071 loss=1.647678 lr=0.004285 Epoch[174] Batch [1799]/[3759] Speed: 117.205779 samples/sec accuracy=61.337674 loss=1.647256 lr=0.004280 Epoch[174] Batch [1849]/[3759] Speed: 118.031086 samples/sec accuracy=61.361486 loss=1.647034 lr=0.004274 Epoch[174] Batch [1899]/[3759] Speed: 117.972789 samples/sec accuracy=61.396382 loss=1.646195 lr=0.004269 Epoch[174] Batch [1949]/[3759] Speed: 117.519968 samples/sec accuracy=61.334135 loss=1.648951 lr=0.004264 Epoch[174] Batch [1999]/[3759] Speed: 117.845343 samples/sec accuracy=61.346875 loss=1.649332 lr=0.004259 Epoch[174] Batch [2049]/[3759] Speed: 117.391578 samples/sec accuracy=61.358994 loss=1.649720 lr=0.004254 Epoch[174] Batch [2099]/[3759] Speed: 116.870943 samples/sec accuracy=61.364583 loss=1.648877 lr=0.004248 Epoch[174] Batch [2149]/[3759] Speed: 117.397573 samples/sec accuracy=61.350291 loss=1.649745 lr=0.004243 Epoch[174] Batch [2199]/[3759] Speed: 117.573045 samples/sec accuracy=61.322443 loss=1.650782 lr=0.004238 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[3649]/[3759] Speed: 118.667245 samples/sec accuracy=61.351884 loss=1.651199 lr=0.004089 Epoch[174] Batch [3699]/[3759] Speed: 117.974086 samples/sec accuracy=61.381757 loss=1.649934 lr=0.004083 Epoch[174] Batch [3749]/[3759] Speed: 121.339692 samples/sec accuracy=61.361667 loss=1.650309 lr=0.004078 Batch [0049]/[0303]: acc-top1=58.437500 acc-top5=78.781250 Batch [0099]/[0303]: acc-top1=54.968750 acc-top5=78.078125 Batch [0149]/[0303]: acc-top1=56.364583 acc-top5=78.802083 Batch [0199]/[0303]: acc-top1=59.156250 acc-top5=80.375000 Batch [0249]/[0303]: acc-top1=58.481250 acc-top5=80.012500 Batch [0299]/[0303]: acc-top1=57.833333 acc-top5=79.911458 [Epoch 174] training: accuracy=61.359404 loss=1.650370 [Epoch 174] speed: 116 samples/sec time cost: 2174.660954 [Epoch 174] validation: acc-top1=57.766089 acc-top5=79.909241 loss=1.913496 Epoch[175] Batch [0049]/[3760] Speed: 88.205597 samples/sec accuracy=61.562500 loss=1.578664 lr=0.004072 Epoch[175] Batch [0099]/[3760] Speed: 117.779159 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accuracy=61.778125 loss=1.625185 lr=0.003926 Epoch[175] Batch [1549]/[3760] Speed: 117.851604 samples/sec accuracy=61.764113 loss=1.625426 lr=0.003921 Epoch[175] Batch [1599]/[3760] Speed: 117.923072 samples/sec accuracy=61.742188 loss=1.626876 lr=0.003916 Epoch[175] Batch [1649]/[3760] Speed: 117.228107 samples/sec accuracy=61.731061 loss=1.626970 lr=0.003911 Epoch[175] Batch [1699]/[3760] Speed: 117.804531 samples/sec accuracy=61.722426 loss=1.627738 lr=0.003906 Epoch[175] Batch [1749]/[3760] Speed: 118.066183 samples/sec accuracy=61.725000 loss=1.627710 lr=0.003901 Epoch[175] Batch [1799]/[3760] Speed: 117.755338 samples/sec accuracy=61.763021 loss=1.626377 lr=0.003896 Epoch[175] Batch [1849]/[3760] Speed: 117.071327 samples/sec accuracy=61.774493 loss=1.626345 lr=0.003891 Epoch[175] Batch [1899]/[3760] Speed: 117.323620 samples/sec accuracy=61.755757 loss=1.626993 lr=0.003886 Epoch[175] Batch [1949]/[3760] Speed: 117.363984 samples/sec accuracy=61.761218 loss=1.626333 lr=0.003881 Epoch[175] Batch [1999]/[3760] Speed: 117.020031 samples/sec accuracy=61.746094 loss=1.627834 lr=0.003876 Epoch[175] Batch [2049]/[3760] Speed: 116.817328 samples/sec accuracy=61.716463 loss=1.629301 lr=0.003871 Epoch[175] Batch [2099]/[3760] Speed: 117.437145 samples/sec accuracy=61.747768 loss=1.628418 lr=0.003866 Epoch[175] Batch [2149]/[3760] Speed: 117.748362 samples/sec accuracy=61.716570 loss=1.628819 lr=0.003861 Epoch[175] Batch [2199]/[3760] Speed: 117.585633 samples/sec accuracy=61.724432 loss=1.629328 lr=0.003856 Epoch[175] Batch [2249]/[3760] Speed: 117.492036 samples/sec accuracy=61.743750 loss=1.627576 lr=0.003851 Epoch[175] Batch [2299]/[3760] Speed: 117.646590 samples/sec accuracy=61.747283 loss=1.626860 lr=0.003846 Epoch[175] Batch [2349]/[3760] Speed: 114.910038 samples/sec accuracy=61.761303 loss=1.626411 lr=0.003841 Epoch[175] Batch [2399]/[3760] Speed: 117.714333 samples/sec accuracy=61.736979 loss=1.627971 lr=0.003836 Epoch[175] Batch [2449]/[3760] Speed: 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loss=1.627189 lr=0.003787 Epoch[175] Batch [2949]/[3760] Speed: 117.790684 samples/sec accuracy=61.774894 loss=1.626829 lr=0.003782 Epoch[175] Batch [2999]/[3760] Speed: 118.094931 samples/sec accuracy=61.764583 loss=1.626919 lr=0.003777 Epoch[175] Batch [3049]/[3760] Speed: 118.077260 samples/sec accuracy=61.778176 loss=1.626610 lr=0.003772 Epoch[175] Batch [3099]/[3760] Speed: 117.585128 samples/sec accuracy=61.776714 loss=1.626934 lr=0.003767 Epoch[175] Batch [3149]/[3760] Speed: 117.613458 samples/sec accuracy=61.796627 loss=1.626717 lr=0.003762 Epoch[175] Batch [3199]/[3760] Speed: 117.328069 samples/sec accuracy=61.815430 loss=1.626171 lr=0.003757 Epoch[175] Batch [3249]/[3760] Speed: 117.809760 samples/sec accuracy=61.798558 loss=1.627093 lr=0.003752 Epoch[175] Batch [3299]/[3760] Speed: 117.923533 samples/sec accuracy=61.812973 loss=1.626765 lr=0.003747 Epoch[175] Batch [3349]/[3760] Speed: 116.985719 samples/sec accuracy=61.812034 loss=1.626884 lr=0.003743 Epoch[175] Batch [3399]/[3760] Speed: 117.970369 samples/sec accuracy=61.816176 loss=1.626185 lr=0.003738 Epoch[175] Batch [3449]/[3760] Speed: 117.621332 samples/sec accuracy=61.801178 loss=1.626598 lr=0.003733 Epoch[175] Batch [3499]/[3760] Speed: 117.331459 samples/sec accuracy=61.786607 loss=1.627496 lr=0.003728 Epoch[175] Batch [3549]/[3760] Speed: 117.169117 samples/sec accuracy=61.794454 loss=1.626790 lr=0.003723 Epoch[175] Batch [3599]/[3760] Speed: 117.792499 samples/sec accuracy=61.791667 loss=1.626668 lr=0.003718 Epoch[175] Batch [3649]/[3760] Speed: 117.204320 samples/sec accuracy=61.802226 loss=1.626561 lr=0.003713 Epoch[175] Batch [3699]/[3760] Speed: 117.855738 samples/sec accuracy=61.808699 loss=1.626555 lr=0.003708 Epoch[175] Batch [3749]/[3760] Speed: 120.586436 samples/sec accuracy=61.829583 loss=1.626144 lr=0.003703 Batch [0049]/[0303]: acc-top1=58.500000 acc-top5=79.625000 Batch [0099]/[0303]: acc-top1=55.750000 acc-top5=78.125000 Batch [0149]/[0303]: acc-top1=57.062500 acc-top5=78.958333 Batch [0199]/[0303]: acc-top1=59.695312 acc-top5=80.617188 Batch [0249]/[0303]: acc-top1=59.306250 acc-top5=80.475000 Batch [0299]/[0303]: acc-top1=58.828125 acc-top5=80.406250 [Epoch 175] training: accuracy=61.836353 loss=1.625939 [Epoch 175] speed: 116 samples/sec time cost: 2173.599507 [Epoch 175] validation: acc-top1=58.807756 acc-top5=80.409447 loss=1.896789 Epoch[176] Batch [0049]/[3760] Speed: 87.142427 samples/sec accuracy=62.718750 loss=1.587037 lr=0.003698 Epoch[176] Batch [0099]/[3760] Speed: 115.525540 samples/sec accuracy=62.796875 loss=1.581345 lr=0.003693 Epoch[176] Batch [0149]/[3760] Speed: 117.921023 samples/sec accuracy=62.291667 loss=1.593612 lr=0.003688 Epoch[176] Batch [0199]/[3760] Speed: 117.041386 samples/sec accuracy=62.257812 loss=1.587732 lr=0.003683 Epoch[176] Batch [0249]/[3760] Speed: 117.554282 samples/sec accuracy=62.218750 loss=1.591753 lr=0.003678 Epoch[176] Batch [0299]/[3760] Speed: 117.377624 samples/sec accuracy=62.401042 loss=1.585682 lr=0.003673 Epoch[176] Batch [0349]/[3760] Speed: 117.874280 samples/sec accuracy=62.183036 loss=1.593665 lr=0.003668 Epoch[176] Batch [0399]/[3760] Speed: 117.202365 samples/sec accuracy=62.164062 loss=1.599476 lr=0.003664 Epoch[176] Batch [0449]/[3760] Speed: 116.997678 samples/sec accuracy=62.315972 loss=1.593839 lr=0.003659 Epoch[176] Batch [0499]/[3760] Speed: 118.639998 samples/sec accuracy=62.440625 loss=1.588746 lr=0.003654 Epoch[176] Batch [0549]/[3760] Speed: 117.002759 samples/sec accuracy=62.437500 loss=1.590253 lr=0.003649 Epoch[176] Batch [0599]/[3760] Speed: 117.805174 samples/sec accuracy=62.440104 loss=1.590612 lr=0.003644 Epoch[176] Batch [0649]/[3760] Speed: 117.436626 samples/sec accuracy=62.555288 loss=1.588009 lr=0.003639 Epoch[176] Batch [0699]/[3760] Speed: 118.214521 samples/sec accuracy=62.616071 loss=1.586455 lr=0.003635 Epoch[176] Batch [0749]/[3760] Speed: 117.721215 samples/sec accuracy=62.625000 loss=1.585755 lr=0.003630 Epoch[176] Batch 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accuracy=62.758750 loss=1.580660 lr=0.003582 Epoch[176] Batch [1299]/[3760] Speed: 116.653819 samples/sec accuracy=62.731971 loss=1.581427 lr=0.003577 Epoch[176] Batch [1349]/[3760] Speed: 117.341992 samples/sec accuracy=62.706019 loss=1.581437 lr=0.003572 Epoch[176] Batch [1399]/[3760] Speed: 117.306479 samples/sec accuracy=62.783482 loss=1.577980 lr=0.003567 Epoch[176] Batch [1449]/[3760] Speed: 116.757839 samples/sec accuracy=62.758621 loss=1.578838 lr=0.003563 Epoch[176] Batch [1499]/[3760] Speed: 117.676865 samples/sec accuracy=62.731250 loss=1.579675 lr=0.003558 Epoch[176] Batch [1549]/[3760] Speed: 117.634915 samples/sec accuracy=62.666331 loss=1.583326 lr=0.003553 Epoch[176] Batch [1599]/[3760] Speed: 117.761081 samples/sec accuracy=62.684570 loss=1.583472 lr=0.003548 Epoch[176] Batch [1649]/[3760] Speed: 115.078347 samples/sec accuracy=62.682765 loss=1.583756 lr=0.003543 Epoch[176] Batch [1699]/[3760] Speed: 117.707395 samples/sec accuracy=62.645221 loss=1.584339 lr=0.003539 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accuracy=62.565972 loss=1.587133 lr=0.003360 Epoch[176] Batch [3649]/[3760] Speed: 117.280212 samples/sec accuracy=62.548373 loss=1.587263 lr=0.003355 Epoch[176] Batch [3699]/[3760] Speed: 117.289517 samples/sec accuracy=62.529139 loss=1.587766 lr=0.003351 Epoch[176] Batch [3749]/[3760] Speed: 120.325464 samples/sec accuracy=62.533333 loss=1.587710 lr=0.003346 Batch [0049]/[0303]: acc-top1=58.281250 acc-top5=79.000000 Batch [0099]/[0303]: acc-top1=55.546875 acc-top5=78.000000 Batch [0149]/[0303]: acc-top1=56.625000 acc-top5=78.677083 Batch [0199]/[0303]: acc-top1=59.250000 acc-top5=80.273438 Batch [0249]/[0303]: acc-top1=58.762500 acc-top5=80.100000 Batch [0299]/[0303]: acc-top1=58.421875 acc-top5=80.130208 [Epoch 176] training: accuracy=62.536154 loss=1.587529 [Epoch 176] speed: 116 samples/sec time cost: 2176.080476 [Epoch 176] validation: acc-top1=58.400371 acc-top5=80.161922 loss=1.911087 Epoch[177] Batch [0049]/[3759] Speed: 87.458843 samples/sec accuracy=63.031250 loss=1.574159 lr=0.003340 Epoch[177] Batch [0099]/[3759] Speed: 117.238103 samples/sec accuracy=63.437500 loss=1.553590 lr=0.003336 Epoch[177] Batch [0149]/[3759] Speed: 117.266604 samples/sec accuracy=63.510417 loss=1.551535 lr=0.003331 Epoch[177] Batch [0199]/[3759] Speed: 117.341825 samples/sec accuracy=63.382812 loss=1.553463 lr=0.003326 Epoch[177] Batch [0249]/[3759] Speed: 117.821842 samples/sec accuracy=63.425000 loss=1.548999 lr=0.003322 Epoch[177] Batch [0299]/[3759] Speed: 117.267571 samples/sec accuracy=63.645833 loss=1.542568 lr=0.003317 Epoch[177] Batch [0349]/[3759] Speed: 117.605755 samples/sec accuracy=63.450893 loss=1.544714 lr=0.003313 Epoch[177] Batch [0399]/[3759] Speed: 116.870889 samples/sec accuracy=63.351562 loss=1.548109 lr=0.003308 Epoch[177] Batch [0449]/[3759] Speed: 117.099152 samples/sec accuracy=63.388889 loss=1.549086 lr=0.003303 Epoch[177] Batch [0499]/[3759] Speed: 117.004629 samples/sec accuracy=63.506250 loss=1.549141 lr=0.003299 Epoch[177] Batch [0549]/[3759] 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accuracy=63.540625 loss=1.549851 lr=0.003253 Epoch[177] Batch [1049]/[3759] Speed: 117.495517 samples/sec accuracy=63.544643 loss=1.548116 lr=0.003248 Epoch[177] Batch [1099]/[3759] Speed: 117.238873 samples/sec accuracy=63.526989 loss=1.548343 lr=0.003244 Epoch[177] Batch [1149]/[3759] Speed: 117.250088 samples/sec accuracy=63.452446 loss=1.549817 lr=0.003239 Epoch[177] Batch [1199]/[3759] Speed: 117.472104 samples/sec accuracy=63.416667 loss=1.551338 lr=0.003235 Epoch[177] Batch [1249]/[3759] Speed: 117.717150 samples/sec accuracy=63.458750 loss=1.551291 lr=0.003230 Epoch[177] Batch [1299]/[3759] Speed: 117.278537 samples/sec accuracy=63.489183 loss=1.551014 lr=0.003225 Epoch[177] Batch [1349]/[3759] Speed: 117.803473 samples/sec accuracy=63.496528 loss=1.549504 lr=0.003221 Epoch[177] Batch [1399]/[3759] Speed: 117.516103 samples/sec accuracy=63.474330 loss=1.551435 lr=0.003216 Epoch[177] Batch [1449]/[3759] Speed: 116.981363 samples/sec accuracy=63.439655 loss=1.552356 lr=0.003212 Epoch[177] Batch [1499]/[3759] Speed: 117.439492 samples/sec accuracy=63.501042 loss=1.549549 lr=0.003207 Epoch[177] Batch [1549]/[3759] Speed: 116.655988 samples/sec accuracy=63.496976 loss=1.549916 lr=0.003203 Epoch[177] Batch [1599]/[3759] Speed: 117.276058 samples/sec accuracy=63.457031 loss=1.551734 lr=0.003198 Epoch[177] Batch [1649]/[3759] Speed: 117.267876 samples/sec accuracy=63.456439 loss=1.551040 lr=0.003194 Epoch[177] Batch [1699]/[3759] Speed: 117.464889 samples/sec accuracy=63.453125 loss=1.551344 lr=0.003189 Epoch[177] Batch [1749]/[3759] Speed: 116.851999 samples/sec accuracy=63.437500 loss=1.551645 lr=0.003185 Epoch[177] Batch [1799]/[3759] Speed: 117.393011 samples/sec accuracy=63.420139 loss=1.553241 lr=0.003180 Epoch[177] Batch [1849]/[3759] Speed: 117.251657 samples/sec accuracy=63.423986 loss=1.553450 lr=0.003175 Epoch[177] Batch [1899]/[3759] Speed: 117.276454 samples/sec accuracy=63.380757 loss=1.555068 lr=0.003171 Epoch[177] Batch [1949]/[3759] Speed: 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loss=1.556212 lr=0.003126 Epoch[177] Batch [2449]/[3759] Speed: 117.161352 samples/sec accuracy=63.386480 loss=1.555373 lr=0.003121 Epoch[177] Batch [2499]/[3759] Speed: 115.583767 samples/sec accuracy=63.368750 loss=1.555659 lr=0.003117 Epoch[177] Batch [2549]/[3759] Speed: 117.036853 samples/sec accuracy=63.374387 loss=1.555424 lr=0.003112 Epoch[177] Batch [2599]/[3759] Speed: 117.570938 samples/sec accuracy=63.350361 loss=1.556415 lr=0.003108 Epoch[177] Batch [2649]/[3759] Speed: 117.465142 samples/sec accuracy=63.333137 loss=1.557147 lr=0.003104 Epoch[177] Batch [2699]/[3759] Speed: 116.926126 samples/sec accuracy=63.366319 loss=1.555890 lr=0.003099 Epoch[177] Batch [2749]/[3759] Speed: 117.652361 samples/sec accuracy=63.341477 loss=1.556470 lr=0.003095 Epoch[177] Batch [2799]/[3759] Speed: 116.682630 samples/sec accuracy=63.330915 loss=1.557080 lr=0.003090 Epoch[177] Batch [2849]/[3759] Speed: 117.311567 samples/sec accuracy=63.326754 loss=1.557460 lr=0.003086 Epoch[177] Batch [2899]/[3759] Speed: 117.315276 samples/sec accuracy=63.329741 loss=1.557435 lr=0.003081 Epoch[177] Batch [2949]/[3759] Speed: 117.460078 samples/sec accuracy=63.311970 loss=1.557409 lr=0.003077 Epoch[177] Batch [2999]/[3759] Speed: 117.189719 samples/sec accuracy=63.320833 loss=1.557204 lr=0.003072 Epoch[177] Batch [3049]/[3759] Speed: 117.507800 samples/sec accuracy=63.292520 loss=1.557924 lr=0.003068 Epoch[177] Batch [3099]/[3759] Speed: 117.635046 samples/sec accuracy=63.296875 loss=1.557664 lr=0.003063 Epoch[177] Batch [3149]/[3759] Speed: 117.000045 samples/sec accuracy=63.292659 loss=1.558278 lr=0.003059 Epoch[177] Batch [3199]/[3759] Speed: 117.719533 samples/sec accuracy=63.295410 loss=1.558099 lr=0.003054 Epoch[177] Batch [3249]/[3759] Speed: 117.189790 samples/sec accuracy=63.311058 loss=1.558418 lr=0.003050 Epoch[177] Batch [3299]/[3759] Speed: 117.535344 samples/sec accuracy=63.288352 loss=1.559821 lr=0.003046 Epoch[177] Batch [3349]/[3759] Speed: 117.124620 samples/sec accuracy=63.277519 loss=1.559984 lr=0.003041 Epoch[177] Batch [3399]/[3759] Speed: 117.837256 samples/sec accuracy=63.272978 loss=1.559853 lr=0.003037 Epoch[177] Batch [3449]/[3759] Speed: 118.076203 samples/sec accuracy=63.277174 loss=1.559968 lr=0.003032 Epoch[177] Batch [3499]/[3759] Speed: 116.553358 samples/sec accuracy=63.263839 loss=1.560612 lr=0.003028 Epoch[177] Batch [3549]/[3759] Speed: 117.264095 samples/sec accuracy=63.267165 loss=1.560852 lr=0.003024 Epoch[177] Batch [3599]/[3759] Speed: 117.868011 samples/sec accuracy=63.273872 loss=1.560455 lr=0.003019 Epoch[177] Batch [3649]/[3759] Speed: 117.086022 samples/sec accuracy=63.266695 loss=1.560915 lr=0.003015 Epoch[177] Batch [3699]/[3759] Speed: 117.345032 samples/sec accuracy=63.253801 loss=1.561574 lr=0.003010 Epoch[177] Batch [3749]/[3759] Speed: 120.739581 samples/sec accuracy=63.267917 loss=1.561275 lr=0.003006 Batch [0049]/[0303]: acc-top1=59.312500 acc-top5=79.000000 Batch [0099]/[0303]: acc-top1=56.296875 acc-top5=78.796875 Batch [0149]/[0303]: acc-top1=57.312500 acc-top5=79.250000 Batch [0199]/[0303]: acc-top1=60.023438 acc-top5=80.875000 Batch [0249]/[0303]: acc-top1=59.550000 acc-top5=80.718750 Batch [0299]/[0303]: acc-top1=59.317708 acc-top5=80.755208 [Epoch 177] training: accuracy=63.273144 loss=1.561091 [Epoch 177] speed: 116 samples/sec time cost: 2177.727140 [Epoch 177] validation: acc-top1=59.235767 acc-top5=80.775578 loss=1.871210 Epoch[178] Batch [0049]/[3760] Speed: 87.452087 samples/sec accuracy=64.562500 loss=1.482893 lr=0.003001 Epoch[178] Batch [0099]/[3760] Speed: 117.328287 samples/sec accuracy=63.234375 loss=1.535110 lr=0.002996 Epoch[178] Batch [0149]/[3760] Speed: 117.553898 samples/sec accuracy=63.468750 loss=1.536759 lr=0.002992 Epoch[178] Batch [0199]/[3760] Speed: 117.182479 samples/sec accuracy=63.414062 loss=1.541041 lr=0.002987 Epoch[178] Batch [0249]/[3760] Speed: 115.423554 samples/sec accuracy=63.631250 loss=1.537328 lr=0.002983 Epoch[178] Batch 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accuracy=63.991667 loss=1.525555 lr=0.002939 Epoch[178] Batch [0799]/[3760] Speed: 117.753000 samples/sec accuracy=64.019531 loss=1.524810 lr=0.002935 Epoch[178] Batch [0849]/[3760] Speed: 117.310625 samples/sec accuracy=64.014706 loss=1.524278 lr=0.002931 Epoch[178] Batch [0899]/[3760] Speed: 117.602257 samples/sec accuracy=63.968750 loss=1.524031 lr=0.002926 Epoch[178] Batch [0949]/[3760] Speed: 117.812942 samples/sec accuracy=64.072368 loss=1.520419 lr=0.002922 Epoch[178] Batch [0999]/[3760] Speed: 117.508978 samples/sec accuracy=64.067188 loss=1.520837 lr=0.002918 Epoch[178] Batch [1049]/[3760] Speed: 117.608673 samples/sec accuracy=64.056548 loss=1.522377 lr=0.002913 Epoch[178] Batch [1099]/[3760] Speed: 117.776609 samples/sec accuracy=64.066761 loss=1.522728 lr=0.002909 Epoch[178] Batch [1149]/[3760] Speed: 117.608434 samples/sec accuracy=64.069293 loss=1.522688 lr=0.002905 Epoch[178] Batch [1199]/[3760] Speed: 117.641428 samples/sec accuracy=64.074219 loss=1.522222 lr=0.002900 Epoch[178] Batch [1249]/[3760] Speed: 116.848090 samples/sec accuracy=64.116250 loss=1.520459 lr=0.002896 Epoch[178] Batch [1299]/[3760] Speed: 117.666775 samples/sec accuracy=64.112981 loss=1.520122 lr=0.002892 Epoch[178] Batch [1349]/[3760] Speed: 117.472125 samples/sec accuracy=64.109954 loss=1.519773 lr=0.002887 Epoch[178] Batch [1399]/[3760] Speed: 117.314156 samples/sec accuracy=64.097098 loss=1.521069 lr=0.002883 Epoch[178] Batch [1449]/[3760] Speed: 117.666637 samples/sec accuracy=64.132543 loss=1.520999 lr=0.002879 Epoch[178] Batch [1499]/[3760] Speed: 117.178074 samples/sec accuracy=64.145833 loss=1.520375 lr=0.002874 Epoch[178] Batch [1549]/[3760] Speed: 117.381721 samples/sec accuracy=64.131048 loss=1.521467 lr=0.002870 Epoch[178] Batch [1599]/[3760] Speed: 117.030621 samples/sec accuracy=64.097656 loss=1.522598 lr=0.002866 Epoch[178] Batch [1649]/[3760] Speed: 117.079269 samples/sec accuracy=64.077652 loss=1.522301 lr=0.002861 Epoch[178] Batch [1699]/[3760] Speed: 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accuracy=64.048891 loss=1.521018 lr=0.002738 Epoch[178] Batch [3149]/[3760] Speed: 117.633828 samples/sec accuracy=64.055060 loss=1.520904 lr=0.002734 Epoch[178] Batch [3199]/[3760] Speed: 117.493418 samples/sec accuracy=64.062500 loss=1.520823 lr=0.002730 Epoch[178] Batch [3249]/[3760] Speed: 117.532927 samples/sec accuracy=64.062019 loss=1.520826 lr=0.002725 Epoch[178] Batch [3299]/[3760] Speed: 115.328733 samples/sec accuracy=64.064394 loss=1.520636 lr=0.002721 Epoch[178] Batch [3349]/[3760] Speed: 117.574005 samples/sec accuracy=64.062034 loss=1.521134 lr=0.002717 Epoch[178] Batch [3399]/[3760] Speed: 117.211998 samples/sec accuracy=64.065717 loss=1.521011 lr=0.002713 Epoch[178] Batch [3449]/[3760] Speed: 117.443868 samples/sec accuracy=64.053442 loss=1.521604 lr=0.002709 Epoch[178] Batch [3499]/[3760] Speed: 118.487628 samples/sec accuracy=64.058482 loss=1.521472 lr=0.002704 Epoch[178] Batch [3549]/[3760] Speed: 117.880279 samples/sec accuracy=64.041373 loss=1.522373 lr=0.002700 Epoch[178] Batch [3599]/[3760] Speed: 117.542000 samples/sec accuracy=64.039497 loss=1.522594 lr=0.002696 Epoch[178] Batch [3649]/[3760] Speed: 117.697666 samples/sec accuracy=64.042808 loss=1.523048 lr=0.002692 Epoch[178] Batch [3699]/[3760] Speed: 117.603732 samples/sec accuracy=64.042652 loss=1.522723 lr=0.002688 Epoch[178] Batch [3749]/[3760] Speed: 119.847544 samples/sec accuracy=64.040000 loss=1.522749 lr=0.002684 Batch [0049]/[0303]: acc-top1=59.125000 acc-top5=79.093750 Batch [0099]/[0303]: acc-top1=56.859375 acc-top5=78.937500 Batch [0149]/[0303]: acc-top1=57.968750 acc-top5=79.531250 Batch [0199]/[0303]: acc-top1=60.421875 acc-top5=81.015625 Batch [0249]/[0303]: acc-top1=60.012500 acc-top5=80.881250 Batch [0299]/[0303]: acc-top1=59.520833 acc-top5=80.812500 [Epoch 178] training: accuracy=64.044631 loss=1.522729 [Epoch 178] speed: 116 samples/sec time cost: 2174.832463 [Epoch 178] validation: acc-top1=59.442038 acc-top5=80.785891 loss=1.886012 Epoch[179] Batch [0049]/[3760] Speed: 86.863586 samples/sec accuracy=64.406250 loss=1.510059 lr=0.002679 Epoch[179] Batch [0099]/[3760] Speed: 118.067316 samples/sec accuracy=65.640625 loss=1.467030 lr=0.002674 Epoch[179] Batch [0149]/[3760] Speed: 117.942093 samples/sec accuracy=65.687500 loss=1.454882 lr=0.002670 Epoch[179] Batch [0199]/[3760] Speed: 117.213408 samples/sec accuracy=65.609375 loss=1.463975 lr=0.002666 Epoch[179] Batch [0249]/[3760] Speed: 117.498626 samples/sec accuracy=65.312500 loss=1.462831 lr=0.002662 Epoch[179] Batch [0299]/[3760] Speed: 116.343194 samples/sec accuracy=65.312500 loss=1.473628 lr=0.002658 Epoch[179] Batch [0349]/[3760] Speed: 117.563254 samples/sec accuracy=65.285714 loss=1.474757 lr=0.002654 Epoch[179] Batch [0399]/[3760] Speed: 116.859077 samples/sec accuracy=65.406250 loss=1.469555 lr=0.002650 Epoch[179] Batch [0449]/[3760] Speed: 117.448799 samples/sec accuracy=65.326389 loss=1.472520 lr=0.002645 Epoch[179] Batch [0499]/[3760] Speed: 117.339220 samples/sec accuracy=65.265625 loss=1.474066 lr=0.002641 Epoch[179] Batch [0549]/[3760] Speed: 117.376068 samples/sec accuracy=65.159091 loss=1.476331 lr=0.002637 Epoch[179] Batch [0599]/[3760] Speed: 117.185265 samples/sec accuracy=65.119792 loss=1.481072 lr=0.002633 Epoch[179] Batch [0649]/[3760] Speed: 117.598890 samples/sec accuracy=64.956731 loss=1.488083 lr=0.002629 Epoch[179] Batch [0699]/[3760] Speed: 117.474336 samples/sec accuracy=65.029018 loss=1.485630 lr=0.002625 Epoch[179] Batch [0749]/[3760] Speed: 117.640582 samples/sec accuracy=65.054167 loss=1.484778 lr=0.002621 Epoch[179] Batch [0799]/[3760] Speed: 117.330021 samples/sec accuracy=65.041016 loss=1.485835 lr=0.002616 Epoch[179] Batch [0849]/[3760] Speed: 117.091284 samples/sec accuracy=64.988971 loss=1.486424 lr=0.002612 Epoch[179] Batch [0899]/[3760] Speed: 117.219844 samples/sec accuracy=64.892361 loss=1.488137 lr=0.002608 Epoch[179] Batch [0949]/[3760] Speed: 115.743368 samples/sec accuracy=64.875000 loss=1.488916 lr=0.002604 Epoch[179] Batch [0999]/[3760] Speed: 117.210996 samples/sec accuracy=64.842188 loss=1.490416 lr=0.002600 Epoch[179] Batch [1049]/[3760] Speed: 117.383686 samples/sec accuracy=64.870536 loss=1.489475 lr=0.002596 Epoch[179] Batch [1099]/[3760] Speed: 117.080356 samples/sec accuracy=64.833807 loss=1.490084 lr=0.002592 Epoch[179] Batch [1149]/[3760] Speed: 117.970466 samples/sec accuracy=64.841033 loss=1.490379 lr=0.002588 Epoch[179] Batch [1199]/[3760] Speed: 116.566056 samples/sec accuracy=64.815104 loss=1.491274 lr=0.002584 Epoch[179] Batch [1249]/[3760] Speed: 117.411306 samples/sec accuracy=64.848750 loss=1.490383 lr=0.002580 Epoch[179] Batch [1299]/[3760] Speed: 117.419937 samples/sec accuracy=64.864183 loss=1.488917 lr=0.002575 Epoch[179] Batch [1349]/[3760] Speed: 117.493285 samples/sec accuracy=64.853009 loss=1.488743 lr=0.002571 Epoch[179] Batch [1399]/[3760] Speed: 117.406112 samples/sec accuracy=64.856027 loss=1.489758 lr=0.002567 Epoch[179] Batch [1449]/[3760] Speed: 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loss=1.489221 lr=0.002527 Epoch[179] Batch [1949]/[3760] Speed: 117.532574 samples/sec accuracy=64.794872 loss=1.489899 lr=0.002523 Epoch[179] Batch [1999]/[3760] Speed: 117.432432 samples/sec accuracy=64.775000 loss=1.489796 lr=0.002519 Epoch[179] Batch [2049]/[3760] Speed: 117.715361 samples/sec accuracy=64.767530 loss=1.489515 lr=0.002515 Epoch[179] Batch [2099]/[3760] Speed: 118.006056 samples/sec accuracy=64.753720 loss=1.489564 lr=0.002510 Epoch[179] Batch [2149]/[3760] Speed: 117.430989 samples/sec accuracy=64.721657 loss=1.490544 lr=0.002506 Epoch[179] Batch [2199]/[3760] Speed: 116.935110 samples/sec accuracy=64.691761 loss=1.491837 lr=0.002502 Epoch[179] Batch [2249]/[3760] Speed: 117.784745 samples/sec accuracy=64.689583 loss=1.492022 lr=0.002498 Epoch[179] Batch [2299]/[3760] Speed: 117.777215 samples/sec accuracy=64.710598 loss=1.491799 lr=0.002494 Epoch[179] Batch [2349]/[3760] Speed: 117.978305 samples/sec accuracy=64.710106 loss=1.491688 lr=0.002490 Epoch[179] Batch 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accuracy=64.754386 loss=1.489558 lr=0.002450 Epoch[179] Batch [2899]/[3760] Speed: 118.073472 samples/sec accuracy=64.771552 loss=1.489221 lr=0.002446 Epoch[179] Batch [2949]/[3760] Speed: 117.670969 samples/sec accuracy=64.758475 loss=1.490205 lr=0.002442 Epoch[179] Batch [2999]/[3760] Speed: 118.162638 samples/sec accuracy=64.743750 loss=1.490665 lr=0.002438 Epoch[179] Batch [3049]/[3760] Speed: 117.497868 samples/sec accuracy=64.754611 loss=1.490938 lr=0.002434 Epoch[179] Batch [3099]/[3760] Speed: 118.257551 samples/sec accuracy=64.746472 loss=1.490658 lr=0.002430 Epoch[179] Batch [3149]/[3760] Speed: 117.216219 samples/sec accuracy=64.734127 loss=1.490712 lr=0.002426 Epoch[179] Batch [3199]/[3760] Speed: 117.776489 samples/sec accuracy=64.740723 loss=1.490767 lr=0.002422 Epoch[179] Batch [3249]/[3760] Speed: 117.657995 samples/sec accuracy=64.758173 loss=1.490353 lr=0.002419 Epoch[179] Batch [3299]/[3760] Speed: 117.511302 samples/sec accuracy=64.735322 loss=1.490699 lr=0.002415 Epoch[179] Batch [3349]/[3760] Speed: 117.608478 samples/sec accuracy=64.729011 loss=1.491029 lr=0.002411 Epoch[179] Batch [3399]/[3760] Speed: 118.480061 samples/sec accuracy=64.716912 loss=1.491683 lr=0.002407 Epoch[179] Batch [3449]/[3760] Speed: 117.422931 samples/sec accuracy=64.736413 loss=1.491198 lr=0.002403 Epoch[179] Batch [3499]/[3760] Speed: 117.492869 samples/sec accuracy=64.759821 loss=1.490016 lr=0.002399 Epoch[179] Batch [3549]/[3760] Speed: 117.435921 samples/sec accuracy=64.746039 loss=1.490685 lr=0.002395 Epoch[179] Batch [3599]/[3760] Speed: 117.724506 samples/sec accuracy=64.746094 loss=1.490091 lr=0.002391 Epoch[179] Batch [3649]/[3760] Speed: 116.617916 samples/sec accuracy=64.765839 loss=1.489419 lr=0.002387 Epoch[179] Batch [3699]/[3760] Speed: 117.231574 samples/sec accuracy=64.754223 loss=1.489736 lr=0.002383 Epoch[179] Batch [3749]/[3760] Speed: 120.310784 samples/sec accuracy=64.765833 loss=1.489118 lr=0.002379 Batch [0049]/[0303]: acc-top1=59.750000 acc-top5=80.031250 Batch [0099]/[0303]: acc-top1=56.656250 acc-top5=79.343750 Batch [0149]/[0303]: acc-top1=57.895833 acc-top5=79.833333 Batch [0199]/[0303]: acc-top1=60.570312 acc-top5=81.390625 Batch [0249]/[0303]: acc-top1=60.037500 acc-top5=81.150000 Batch [0299]/[0303]: acc-top1=59.562500 acc-top5=81.083333 [Epoch 179] training: accuracy=64.773105 loss=1.488884 [Epoch 179] speed: 116 samples/sec time cost: 2174.995111 [Epoch 179] validation: acc-top1=59.524546 acc-top5=81.105611 loss=1.868040 Epoch[180] Batch [0049]/[3759] Speed: 88.148112 samples/sec accuracy=67.093750 loss=1.402440 lr=0.002374 Epoch[180] Batch [0099]/[3759] Speed: 117.820304 samples/sec accuracy=66.390625 loss=1.431654 lr=0.002370 Epoch[180] Batch [0149]/[3759] Speed: 117.666368 samples/sec accuracy=66.281250 loss=1.425746 lr=0.002366 Epoch[180] Batch [0199]/[3759] Speed: 117.266290 samples/sec accuracy=66.234375 loss=1.428104 lr=0.002363 Epoch[180] Batch [0249]/[3759] Speed: 115.545120 samples/sec accuracy=66.056250 loss=1.430367 lr=0.002359 Epoch[180] Batch [0299]/[3759] Speed: 117.072065 samples/sec accuracy=65.994792 loss=1.434745 lr=0.002355 Epoch[180] Batch [0349]/[3759] Speed: 117.450760 samples/sec accuracy=65.937500 loss=1.435639 lr=0.002351 Epoch[180] Batch [0399]/[3759] Speed: 117.379919 samples/sec accuracy=65.859375 loss=1.439363 lr=0.002347 Epoch[180] Batch [0449]/[3759] Speed: 117.340983 samples/sec accuracy=65.760417 loss=1.444641 lr=0.002343 Epoch[180] Batch [0499]/[3759] Speed: 117.795315 samples/sec accuracy=65.693750 loss=1.445306 lr=0.002339 Epoch[180] Batch [0549]/[3759] Speed: 117.521720 samples/sec accuracy=65.625000 loss=1.445764 lr=0.002335 Epoch[180] Batch [0599]/[3759] Speed: 117.753078 samples/sec accuracy=65.627604 loss=1.447302 lr=0.002331 Epoch[180] Batch [0649]/[3759] Speed: 117.286518 samples/sec accuracy=65.694712 loss=1.443694 lr=0.002327 Epoch[180] Batch [0699]/[3759] Speed: 117.127192 samples/sec accuracy=65.700893 loss=1.445082 lr=0.002324 Epoch[180] Batch [0749]/[3759] Speed: 116.891691 samples/sec accuracy=65.760417 loss=1.444554 lr=0.002320 Epoch[180] Batch [0799]/[3759] Speed: 117.149391 samples/sec accuracy=65.750000 loss=1.444985 lr=0.002316 Epoch[180] Batch [0849]/[3759] Speed: 117.486038 samples/sec accuracy=65.751838 loss=1.443969 lr=0.002312 Epoch[180] Batch [0899]/[3759] Speed: 118.171655 samples/sec accuracy=65.711806 loss=1.445895 lr=0.002308 Epoch[180] Batch [0949]/[3759] Speed: 116.995939 samples/sec accuracy=65.730263 loss=1.446543 lr=0.002304 Epoch[180] Batch [0999]/[3759] Speed: 116.663459 samples/sec accuracy=65.726562 loss=1.446600 lr=0.002300 Epoch[180] Batch [1049]/[3759] Speed: 117.324984 samples/sec accuracy=65.732143 loss=1.448934 lr=0.002296 Epoch[180] Batch [1099]/[3759] Speed: 117.755740 samples/sec accuracy=65.703125 loss=1.451016 lr=0.002293 Epoch[180] Batch [1149]/[3759] Speed: 117.284722 samples/sec accuracy=65.683424 loss=1.451972 lr=0.002289 Epoch[180] Batch [1199]/[3759] Speed: 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accuracy=65.588942 loss=1.456257 lr=0.002178 Epoch[180] Batch [2649]/[3759] Speed: 117.652680 samples/sec accuracy=65.586085 loss=1.456427 lr=0.002174 Epoch[180] Batch [2699]/[3759] Speed: 117.754000 samples/sec accuracy=65.593171 loss=1.455861 lr=0.002171 Epoch[180] Batch [2749]/[3759] Speed: 117.493009 samples/sec accuracy=65.581818 loss=1.455925 lr=0.002167 Epoch[180] Batch [2799]/[3759] Speed: 117.285169 samples/sec accuracy=65.571987 loss=1.456645 lr=0.002163 Epoch[180] Batch [2849]/[3759] Speed: 117.714105 samples/sec accuracy=65.559211 loss=1.456451 lr=0.002159 Epoch[180] Batch [2899]/[3759] Speed: 116.889711 samples/sec accuracy=65.525862 loss=1.458002 lr=0.002156 Epoch[180] Batch [2949]/[3759] Speed: 116.743722 samples/sec accuracy=65.524364 loss=1.457537 lr=0.002152 Epoch[180] Batch [2999]/[3759] Speed: 117.701475 samples/sec accuracy=65.519271 loss=1.457943 lr=0.002148 Epoch[180] Batch [3049]/[3759] Speed: 117.780770 samples/sec accuracy=65.486168 loss=1.458901 lr=0.002144 Epoch[180] Batch [3099]/[3759] Speed: 117.776657 samples/sec accuracy=65.475302 loss=1.459292 lr=0.002141 Epoch[180] Batch [3149]/[3759] Speed: 117.079697 samples/sec accuracy=65.483135 loss=1.459066 lr=0.002137 Epoch[180] Batch [3199]/[3759] Speed: 117.320396 samples/sec accuracy=65.456543 loss=1.460048 lr=0.002133 Epoch[180] Batch [3249]/[3759] Speed: 118.052283 samples/sec accuracy=65.457212 loss=1.460567 lr=0.002129 Epoch[180] Batch [3299]/[3759] Speed: 117.423363 samples/sec accuracy=65.450758 loss=1.460878 lr=0.002126 Epoch[180] Batch [3349]/[3759] Speed: 116.602005 samples/sec accuracy=65.446828 loss=1.460662 lr=0.002122 Epoch[180] Batch [3399]/[3759] Speed: 115.369445 samples/sec accuracy=65.438419 loss=1.461164 lr=0.002118 Epoch[180] Batch [3449]/[3759] Speed: 117.286816 samples/sec accuracy=65.456522 loss=1.461109 lr=0.002115 Epoch[180] Batch [3499]/[3759] Speed: 117.690617 samples/sec accuracy=65.445536 loss=1.461789 lr=0.002111 Epoch[180] Batch [3549]/[3759] Speed: 117.410202 samples/sec accuracy=65.451144 loss=1.460956 lr=0.002107 Epoch[180] Batch [3599]/[3759] Speed: 116.718254 samples/sec accuracy=65.449653 loss=1.461144 lr=0.002103 Epoch[180] Batch [3649]/[3759] Speed: 117.203632 samples/sec accuracy=65.452911 loss=1.460977 lr=0.002100 Epoch[180] Batch [3699]/[3759] Speed: 117.754666 samples/sec accuracy=65.443412 loss=1.461216 lr=0.002096 Epoch[180] Batch [3749]/[3759] Speed: 120.496068 samples/sec accuracy=65.432500 loss=1.461385 lr=0.002092 Batch [0049]/[0303]: acc-top1=59.312500 acc-top5=79.343750 Batch [0099]/[0303]: acc-top1=57.156250 acc-top5=79.343750 Batch [0149]/[0303]: acc-top1=58.281250 acc-top5=80.052083 Batch [0199]/[0303]: acc-top1=61.054688 acc-top5=81.640625 Batch [0249]/[0303]: acc-top1=60.387500 acc-top5=81.400000 Batch [0299]/[0303]: acc-top1=59.973958 acc-top5=81.359375 [Epoch 180] training: accuracy=65.432545 loss=1.461284 [Epoch 180] speed: 116 samples/sec time cost: 2173.938993 [Epoch 180] validation: acc-top1=59.900990 acc-top5=81.347979 loss=1.840802 Epoch[181] Batch [0049]/[3760] Speed: 87.653219 samples/sec accuracy=65.531250 loss=1.454491 lr=0.002088 Epoch[181] Batch [0099]/[3760] Speed: 117.798935 samples/sec accuracy=65.531250 loss=1.469911 lr=0.002084 Epoch[181] Batch [0149]/[3760] Speed: 117.461800 samples/sec accuracy=66.468750 loss=1.441731 lr=0.002081 Epoch[181] Batch [0199]/[3760] Speed: 117.666358 samples/sec accuracy=66.234375 loss=1.448162 lr=0.002077 Epoch[181] Batch [0249]/[3760] Speed: 117.796852 samples/sec accuracy=66.106250 loss=1.449195 lr=0.002073 Epoch[181] Batch [0299]/[3760] Speed: 117.728830 samples/sec accuracy=66.135417 loss=1.445432 lr=0.002070 Epoch[181] Batch [0349]/[3760] Speed: 118.126193 samples/sec accuracy=66.174107 loss=1.443817 lr=0.002066 Epoch[181] Batch [0399]/[3760] Speed: 117.094333 samples/sec accuracy=65.898438 loss=1.448806 lr=0.002062 Epoch[181] Batch [0449]/[3760] Speed: 117.810458 samples/sec accuracy=66.034722 loss=1.442992 lr=0.002059 Epoch[181] Batch [0499]/[3760] Speed: 117.529293 samples/sec accuracy=65.981250 loss=1.441569 lr=0.002055 Epoch[181] Batch [0549]/[3760] Speed: 117.768608 samples/sec accuracy=66.042614 loss=1.437177 lr=0.002051 Epoch[181] Batch [0599]/[3760] Speed: 117.597195 samples/sec accuracy=66.033854 loss=1.436471 lr=0.002048 Epoch[181] Batch [0649]/[3760] Speed: 117.625113 samples/sec accuracy=66.045673 loss=1.437512 lr=0.002044 Epoch[181] Batch [0699]/[3760] Speed: 117.490964 samples/sec accuracy=66.004464 loss=1.439560 lr=0.002040 Epoch[181] Batch [0749]/[3760] Speed: 117.663424 samples/sec accuracy=66.004167 loss=1.439531 lr=0.002037 Epoch[181] Batch [0799]/[3760] Speed: 117.499161 samples/sec accuracy=66.037109 loss=1.438567 lr=0.002033 Epoch[181] Batch [0849]/[3760] Speed: 117.820668 samples/sec accuracy=66.077206 loss=1.438180 lr=0.002029 Epoch[181] Batch [0899]/[3760] Speed: 117.850472 samples/sec accuracy=66.152778 loss=1.434334 lr=0.002026 Epoch[181] Batch [0949]/[3760] Speed: 117.839439 samples/sec accuracy=66.111842 loss=1.436780 lr=0.002022 Epoch[181] Batch [0999]/[3760] Speed: 117.725231 samples/sec accuracy=66.064062 loss=1.437765 lr=0.002019 Epoch[181] Batch [1049]/[3760] Speed: 116.995689 samples/sec accuracy=66.013393 loss=1.438735 lr=0.002015 Epoch[181] Batch [1099]/[3760] Speed: 117.946653 samples/sec accuracy=66.015625 loss=1.439620 lr=0.002011 Epoch[181] Batch [1149]/[3760] Speed: 114.419033 samples/sec accuracy=66.012228 loss=1.438062 lr=0.002008 Epoch[181] Batch [1199]/[3760] Speed: 116.561441 samples/sec accuracy=65.983073 loss=1.436975 lr=0.002004 Epoch[181] Batch [1249]/[3760] Speed: 116.724455 samples/sec accuracy=65.931250 loss=1.438945 lr=0.002000 Epoch[181] Batch [1299]/[3760] Speed: 117.662876 samples/sec accuracy=65.911058 loss=1.440180 lr=0.001997 Epoch[181] Batch [1349]/[3760] Speed: 117.170946 samples/sec accuracy=65.959491 loss=1.439847 lr=0.001993 Epoch[181] Batch [1399]/[3760] Speed: 117.205269 samples/sec accuracy=65.940848 loss=1.439747 lr=0.001990 Epoch[181] Batch [1449]/[3760] Speed: 117.504429 samples/sec accuracy=65.964440 loss=1.438430 lr=0.001986 Epoch[181] Batch [1499]/[3760] Speed: 117.208464 samples/sec accuracy=65.937500 loss=1.439945 lr=0.001982 Epoch[181] Batch [1549]/[3760] Speed: 117.309709 samples/sec accuracy=65.965726 loss=1.439678 lr=0.001979 Epoch[181] Batch [1599]/[3760] Speed: 117.722441 samples/sec accuracy=65.971680 loss=1.438739 lr=0.001975 Epoch[181] Batch [1649]/[3760] Speed: 117.617692 samples/sec accuracy=65.968750 loss=1.439696 lr=0.001972 Epoch[181] Batch [1699]/[3760] Speed: 117.446223 samples/sec accuracy=65.975184 loss=1.438204 lr=0.001968 Epoch[181] Batch [1749]/[3760] Speed: 116.732513 samples/sec accuracy=65.980357 loss=1.437281 lr=0.001964 Epoch[181] Batch [1799]/[3760] Speed: 117.006972 samples/sec accuracy=65.971354 loss=1.438125 lr=0.001961 Epoch[181] Batch [1849]/[3760] Speed: 117.198543 samples/sec accuracy=65.994932 loss=1.437508 lr=0.001957 Epoch[181] Batch [1899]/[3760] Speed: 117.689109 samples/sec accuracy=66.018914 loss=1.436838 lr=0.001954 Epoch[181] Batch [1949]/[3760] Speed: 117.780111 samples/sec accuracy=66.036859 loss=1.435945 lr=0.001950 Epoch[181] Batch [1999]/[3760] Speed: 117.895687 samples/sec accuracy=66.053125 loss=1.435468 lr=0.001947 Epoch[181] Batch [2049]/[3760] Speed: 118.088607 samples/sec accuracy=66.041159 loss=1.435796 lr=0.001943 Epoch[181] Batch [2099]/[3760] Speed: 117.853891 samples/sec accuracy=66.052827 loss=1.435619 lr=0.001940 Epoch[181] Batch [2149]/[3760] Speed: 117.611127 samples/sec accuracy=66.046512 loss=1.435618 lr=0.001936 Epoch[181] Batch [2199]/[3760] Speed: 117.384491 samples/sec accuracy=66.058949 loss=1.435592 lr=0.001932 Epoch[181] Batch [2249]/[3760] Speed: 117.033119 samples/sec accuracy=66.034722 loss=1.436064 lr=0.001929 Epoch[181] Batch [2299]/[3760] Speed: 117.604004 samples/sec accuracy=66.059103 loss=1.435971 lr=0.001925 Epoch[181] Batch [2349]/[3760] Speed: 117.546933 samples/sec accuracy=66.049867 loss=1.436691 lr=0.001922 Epoch[181] Batch [2399]/[3760] Speed: 117.253016 samples/sec accuracy=66.013672 loss=1.437782 lr=0.001918 Epoch[181] Batch [2449]/[3760] Speed: 117.870210 samples/sec accuracy=66.014031 loss=1.437935 lr=0.001915 Epoch[181] Batch [2499]/[3760] Speed: 117.381048 samples/sec accuracy=66.042500 loss=1.437564 lr=0.001911 Epoch[181] Batch [2549]/[3760] Speed: 117.630402 samples/sec accuracy=66.041054 loss=1.437997 lr=0.001908 Epoch[181] Batch [2599]/[3760] Speed: 117.407337 samples/sec accuracy=66.058894 loss=1.437625 lr=0.001904 Epoch[181] Batch [2649]/[3760] Speed: 116.961995 samples/sec accuracy=66.052476 loss=1.437381 lr=0.001901 Epoch[181] Batch [2699]/[3760] Speed: 115.502549 samples/sec accuracy=66.098380 loss=1.435816 lr=0.001897 Epoch[181] Batch [2749]/[3760] Speed: 117.603651 samples/sec accuracy=66.086364 loss=1.435562 lr=0.001894 Epoch[181] Batch [2799]/[3760] Speed: 117.362697 samples/sec accuracy=66.099888 loss=1.435446 lr=0.001890 Epoch[181] Batch [2849]/[3760] Speed: 118.043188 samples/sec accuracy=66.125548 loss=1.435002 lr=0.001887 Epoch[181] Batch [2899]/[3760] Speed: 117.116905 samples/sec accuracy=66.118534 loss=1.435347 lr=0.001883 Epoch[181] Batch [2949]/[3760] Speed: 117.193322 samples/sec accuracy=66.115996 loss=1.435914 lr=0.001879 Epoch[181] Batch [2999]/[3760] Speed: 117.790528 samples/sec accuracy=66.108333 loss=1.436109 lr=0.001876 Epoch[181] Batch [3049]/[3760] Speed: 118.088535 samples/sec accuracy=66.117316 loss=1.436040 lr=0.001872 Epoch[181] Batch [3099]/[3760] Speed: 118.365082 samples/sec accuracy=66.119456 loss=1.435448 lr=0.001869 Epoch[181] Batch [3149]/[3760] Speed: 117.582314 samples/sec accuracy=66.100198 loss=1.435761 lr=0.001866 Epoch[181] Batch [3199]/[3760] Speed: 117.812019 samples/sec accuracy=66.115234 loss=1.435361 lr=0.001862 Epoch[181] Batch [3249]/[3760] Speed: 117.757662 samples/sec accuracy=66.117788 loss=1.435272 lr=0.001859 Epoch[181] Batch [3299]/[3760] Speed: 117.444909 samples/sec accuracy=66.121212 loss=1.435249 lr=0.001855 Epoch[181] Batch [3349]/[3760] Speed: 117.911828 samples/sec accuracy=66.117537 loss=1.435150 lr=0.001852 Epoch[181] Batch [3399]/[3760] Speed: 118.067613 samples/sec accuracy=66.121324 loss=1.435053 lr=0.001848 Epoch[181] Batch [3449]/[3760] Speed: 116.954630 samples/sec accuracy=66.115489 loss=1.434715 lr=0.001845 Epoch[181] Batch [3499]/[3760] Speed: 117.269896 samples/sec accuracy=66.116964 loss=1.434998 lr=0.001841 Epoch[181] Batch [3549]/[3760] Speed: 118.006170 samples/sec accuracy=66.135563 loss=1.433749 lr=0.001838 Epoch[181] Batch [3599]/[3760] Speed: 118.122229 samples/sec accuracy=66.144965 loss=1.432922 lr=0.001834 Epoch[181] Batch [3649]/[3760] Speed: 117.004153 samples/sec accuracy=66.149401 loss=1.432445 lr=0.001831 Epoch[181] Batch [3699]/[3760] Speed: 117.898783 samples/sec accuracy=66.157939 loss=1.432362 lr=0.001827 Epoch[181] Batch [3749]/[3760] Speed: 120.924573 samples/sec accuracy=66.146667 loss=1.432169 lr=0.001824 Batch [0049]/[0303]: acc-top1=59.062500 acc-top5=79.687500 Batch [0099]/[0303]: acc-top1=57.375000 acc-top5=79.765625 Batch [0149]/[0303]: acc-top1=58.687500 acc-top5=80.468750 Batch [0199]/[0303]: acc-top1=61.304688 acc-top5=81.882812 Batch [0249]/[0303]: acc-top1=60.531250 acc-top5=81.612500 Batch [0299]/[0303]: acc-top1=60.067708 acc-top5=81.661458 [Epoch 181] training: accuracy=66.148604 loss=1.432057 [Epoch 181] speed: 116 samples/sec time cost: 2173.177061 [Epoch 181] validation: acc-top1=60.004125 acc-top5=81.693482 loss=1.846985 Epoch[182] Batch [0049]/[3760] Speed: 87.946698 samples/sec accuracy=66.093750 loss=1.395789 lr=0.001820 Epoch[182] Batch [0099]/[3760] Speed: 118.159111 samples/sec accuracy=66.750000 loss=1.372465 lr=0.001816 Epoch[182] Batch [0149]/[3760] Speed: 118.254475 samples/sec accuracy=67.125000 loss=1.372665 lr=0.001813 Epoch[182] Batch [0199]/[3760] Speed: 116.997584 samples/sec accuracy=67.226562 loss=1.370906 lr=0.001809 Epoch[182] Batch [0249]/[3760] Speed: 116.929973 samples/sec accuracy=67.387500 loss=1.364568 lr=0.001806 Epoch[182] Batch [0299]/[3760] Speed: 117.953886 samples/sec accuracy=67.161458 loss=1.379579 lr=0.001803 Epoch[182] Batch [0349]/[3760] Speed: 117.229463 samples/sec accuracy=67.263393 loss=1.371964 lr=0.001799 Epoch[182] Batch [0399]/[3760] Speed: 115.270359 samples/sec accuracy=67.355469 loss=1.364989 lr=0.001796 Epoch[182] Batch [0449]/[3760] Speed: 117.752372 samples/sec accuracy=67.166667 loss=1.377232 lr=0.001792 Epoch[182] Batch [0499]/[3760] Speed: 117.496774 samples/sec accuracy=67.206250 loss=1.373055 lr=0.001789 Epoch[182] Batch [0549]/[3760] Speed: 117.733088 samples/sec accuracy=67.130682 loss=1.381278 lr=0.001785 Epoch[182] Batch [0599]/[3760] Speed: 117.225285 samples/sec accuracy=67.015625 loss=1.383105 lr=0.001782 Epoch[182] Batch [0649]/[3760] Speed: 117.773258 samples/sec accuracy=66.968750 loss=1.386064 lr=0.001779 Epoch[182] Batch [0699]/[3760] Speed: 117.167356 samples/sec accuracy=66.975446 loss=1.386774 lr=0.001775 Epoch[182] Batch [0749]/[3760] Speed: 117.646764 samples/sec accuracy=66.983333 loss=1.389091 lr=0.001772 Epoch[182] Batch [0799]/[3760] Speed: 118.219131 samples/sec accuracy=66.927734 loss=1.391342 lr=0.001768 Epoch[182] Batch [0849]/[3760] Speed: 118.237362 samples/sec accuracy=66.906250 loss=1.391690 lr=0.001765 Epoch[182] Batch [0899]/[3760] Speed: 117.536227 samples/sec accuracy=66.897569 loss=1.392666 lr=0.001762 Epoch[182] Batch [0949]/[3760] Speed: 117.710617 samples/sec accuracy=66.901316 loss=1.393680 lr=0.001758 Epoch[182] Batch [0999]/[3760] Speed: 117.576342 samples/sec accuracy=66.900000 loss=1.395703 lr=0.001755 Epoch[182] Batch [1049]/[3760] Speed: 116.769269 samples/sec accuracy=66.909226 loss=1.393346 lr=0.001751 Epoch[182] Batch [1099]/[3760] Speed: 117.581159 samples/sec accuracy=66.896307 loss=1.392858 lr=0.001748 Epoch[182] Batch [1149]/[3760] Speed: 116.802361 samples/sec accuracy=66.930707 loss=1.392899 lr=0.001745 Epoch[182] Batch [1199]/[3760] Speed: 117.323722 samples/sec accuracy=66.917969 loss=1.393013 lr=0.001741 Epoch[182] Batch [1249]/[3760] Speed: 117.237295 samples/sec accuracy=66.917500 loss=1.393146 lr=0.001738 Epoch[182] Batch [1299]/[3760] Speed: 117.889236 samples/sec accuracy=66.852163 loss=1.394472 lr=0.001735 Epoch[182] Batch [1349]/[3760] Speed: 117.415696 samples/sec accuracy=66.833333 loss=1.395771 lr=0.001731 Epoch[182] Batch [1399]/[3760] Speed: 117.727125 samples/sec accuracy=66.813616 loss=1.396261 lr=0.001728 Epoch[182] Batch [1449]/[3760] Speed: 118.038305 samples/sec accuracy=66.830819 loss=1.395219 lr=0.001724 Epoch[182] Batch [1499]/[3760] Speed: 117.752117 samples/sec accuracy=66.835417 loss=1.395348 lr=0.001721 Epoch[182] Batch [1549]/[3760] Speed: 117.246960 samples/sec accuracy=66.792339 loss=1.396732 lr=0.001718 Epoch[182] Batch [1599]/[3760] Speed: 118.106871 samples/sec accuracy=66.818359 loss=1.396046 lr=0.001714 Epoch[182] Batch [1649]/[3760] Speed: 118.094509 samples/sec accuracy=66.840909 loss=1.395891 lr=0.001711 Epoch[182] Batch [1699]/[3760] Speed: 117.910602 samples/sec accuracy=66.852941 loss=1.394625 lr=0.001708 Epoch[182] Batch [1749]/[3760] Speed: 117.297273 samples/sec accuracy=66.873214 loss=1.394532 lr=0.001704 Epoch[182] Batch [1799]/[3760] Speed: 117.699610 samples/sec accuracy=66.869792 loss=1.396287 lr=0.001701 Epoch[182] Batch [1849]/[3760] Speed: 118.181290 samples/sec accuracy=66.807432 loss=1.398816 lr=0.001698 Epoch[182] Batch [1899]/[3760] Speed: 117.689420 samples/sec accuracy=66.785362 loss=1.399841 lr=0.001694 Epoch[182] Batch [1949]/[3760] Speed: 118.147633 samples/sec accuracy=66.780449 loss=1.400090 lr=0.001691 Epoch[182] Batch [1999]/[3760] Speed: 115.437622 samples/sec accuracy=66.763281 loss=1.400864 lr=0.001688 Epoch[182] Batch [2049]/[3760] Speed: 117.689073 samples/sec accuracy=66.739329 loss=1.402199 lr=0.001684 Epoch[182] Batch [2099]/[3760] Speed: 116.929864 samples/sec accuracy=66.762649 loss=1.401677 lr=0.001681 Epoch[182] Batch [2149]/[3760] Speed: 117.101226 samples/sec accuracy=66.776890 loss=1.401420 lr=0.001678 Epoch[182] Batch [2199]/[3760] Speed: 117.471332 samples/sec accuracy=66.753551 loss=1.402599 lr=0.001674 Epoch[182] Batch [2249]/[3760] Speed: 117.407296 samples/sec accuracy=66.725000 loss=1.403504 lr=0.001671 Epoch[182] Batch [2299]/[3760] Speed: 117.815422 samples/sec accuracy=66.730299 loss=1.403511 lr=0.001668 Epoch[182] Batch [2349]/[3760] Speed: 117.152558 samples/sec accuracy=66.730053 loss=1.403317 lr=0.001665 Epoch[182] Batch [2399]/[3760] Speed: 117.987739 samples/sec accuracy=66.726562 loss=1.403453 lr=0.001661 Epoch[182] Batch [2449]/[3760] Speed: 117.342556 samples/sec accuracy=66.721301 loss=1.404423 lr=0.001658 Epoch[182] Batch [2499]/[3760] Speed: 117.492691 samples/sec accuracy=66.728750 loss=1.404265 lr=0.001655 Epoch[182] Batch [2549]/[3760] Speed: 117.150698 samples/sec accuracy=66.758578 loss=1.403430 lr=0.001651 Epoch[182] Batch [2599]/[3760] Speed: 117.757281 samples/sec accuracy=66.778245 loss=1.402439 lr=0.001648 Epoch[182] Batch [2649]/[3760] Speed: 117.705452 samples/sec accuracy=66.775354 loss=1.402546 lr=0.001645 Epoch[182] Batch [2699]/[3760] Speed: 117.382953 samples/sec accuracy=66.760417 loss=1.402738 lr=0.001641 Epoch[182] Batch [2749]/[3760] Speed: 117.656139 samples/sec accuracy=66.753977 loss=1.402519 lr=0.001638 Epoch[182] Batch [2799]/[3760] Speed: 117.461905 samples/sec accuracy=66.749442 loss=1.402615 lr=0.001635 Epoch[182] Batch [2849]/[3760] Speed: 117.402624 samples/sec accuracy=66.722588 loss=1.403887 lr=0.001632 Epoch[182] Batch [2899]/[3760] Speed: 117.578114 samples/sec accuracy=66.716056 loss=1.404064 lr=0.001628 Epoch[182] Batch [2949]/[3760] Speed: 116.787602 samples/sec accuracy=66.706568 loss=1.404604 lr=0.001625 Epoch[182] Batch [2999]/[3760] Speed: 117.484040 samples/sec accuracy=66.720833 loss=1.404237 lr=0.001622 Epoch[182] Batch 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accuracy=66.689286 loss=1.404765 lr=0.001589 Epoch[182] Batch [3549]/[3760] Speed: 114.649674 samples/sec accuracy=66.675176 loss=1.405399 lr=0.001586 Epoch[182] Batch [3599]/[3760] Speed: 117.497511 samples/sec accuracy=66.692274 loss=1.404789 lr=0.001583 Epoch[182] Batch [3649]/[3760] Speed: 117.222130 samples/sec accuracy=66.705051 loss=1.404372 lr=0.001580 Epoch[182] Batch [3699]/[3760] Speed: 117.759672 samples/sec accuracy=66.714527 loss=1.403973 lr=0.001577 Epoch[182] Batch [3749]/[3760] Speed: 119.895799 samples/sec accuracy=66.723750 loss=1.403840 lr=0.001573 Batch [0049]/[0303]: acc-top1=60.500000 acc-top5=80.125000 Batch [0099]/[0303]: acc-top1=57.656250 acc-top5=79.625000 Batch [0149]/[0303]: acc-top1=58.822917 acc-top5=80.312500 Batch [0199]/[0303]: acc-top1=61.726563 acc-top5=81.890625 Batch [0249]/[0303]: acc-top1=61.093750 acc-top5=81.706250 Batch [0299]/[0303]: acc-top1=60.484375 acc-top5=81.687500 [Epoch 182] training: accuracy=66.728723 loss=1.403556 [Epoch 182] speed: 116 samples/sec time cost: 2174.435491 [Epoch 182] validation: acc-top1=60.421823 acc-top5=81.703795 loss=1.831159 Epoch[183] Batch [0049]/[3759] Speed: 87.550341 samples/sec accuracy=67.968750 loss=1.352516 lr=0.001570 Epoch[183] Batch [0099]/[3759] Speed: 118.447999 samples/sec accuracy=68.031250 loss=1.360421 lr=0.001566 Epoch[183] Batch [0149]/[3759] Speed: 116.854555 samples/sec accuracy=67.677083 loss=1.372821 lr=0.001563 Epoch[183] Batch [0199]/[3759] Speed: 117.470291 samples/sec accuracy=67.875000 loss=1.362396 lr=0.001560 Epoch[183] Batch [0249]/[3759] Speed: 117.141032 samples/sec accuracy=67.931250 loss=1.358839 lr=0.001557 Epoch[183] Batch [0299]/[3759] Speed: 117.251792 samples/sec accuracy=67.765625 loss=1.359015 lr=0.001554 Epoch[183] Batch [0349]/[3759] Speed: 117.546352 samples/sec accuracy=67.834821 loss=1.357671 lr=0.001550 Epoch[183] Batch [0399]/[3759] Speed: 117.827680 samples/sec accuracy=67.761719 loss=1.357122 lr=0.001547 Epoch[183] Batch [0449]/[3759] Speed: 117.302073 samples/sec accuracy=68.000000 loss=1.351573 lr=0.001544 Epoch[183] Batch [0499]/[3759] Speed: 118.514847 samples/sec accuracy=68.025000 loss=1.348184 lr=0.001541 Epoch[183] Batch [0549]/[3759] Speed: 117.084738 samples/sec accuracy=67.985795 loss=1.351474 lr=0.001538 Epoch[183] Batch [0599]/[3759] Speed: 117.285494 samples/sec accuracy=67.984375 loss=1.352277 lr=0.001534 Epoch[183] Batch [0649]/[3759] Speed: 117.579923 samples/sec accuracy=67.975962 loss=1.351161 lr=0.001531 Epoch[183] Batch [0699]/[3759] Speed: 117.612138 samples/sec accuracy=67.919643 loss=1.353681 lr=0.001528 Epoch[183] Batch [0749]/[3759] Speed: 117.377050 samples/sec accuracy=67.925000 loss=1.351770 lr=0.001525 Epoch[183] Batch [0799]/[3759] Speed: 117.813818 samples/sec accuracy=67.914062 loss=1.352170 lr=0.001522 Epoch[183] Batch [0849]/[3759] Speed: 117.307743 samples/sec accuracy=67.919118 loss=1.350913 lr=0.001519 Epoch[183] Batch [0899]/[3759] Speed: 117.621302 samples/sec accuracy=67.996528 loss=1.349090 lr=0.001515 Epoch[183] Batch [0949]/[3759] Speed: 117.877253 samples/sec accuracy=67.963816 loss=1.351182 lr=0.001512 Epoch[183] Batch [0999]/[3759] Speed: 117.583291 samples/sec accuracy=67.887500 loss=1.354527 lr=0.001509 Epoch[183] Batch [1049]/[3759] Speed: 117.896644 samples/sec accuracy=67.931548 loss=1.354186 lr=0.001506 Epoch[183] Batch [1099]/[3759] Speed: 117.616270 samples/sec accuracy=67.907670 loss=1.354251 lr=0.001503 Epoch[183] Batch [1149]/[3759] Speed: 117.744877 samples/sec accuracy=67.923913 loss=1.354064 lr=0.001500 Epoch[183] Batch [1199]/[3759] Speed: 117.191384 samples/sec accuracy=67.904948 loss=1.353724 lr=0.001497 Epoch[183] Batch [1249]/[3759] Speed: 117.426515 samples/sec accuracy=67.921250 loss=1.351747 lr=0.001494 Epoch[183] Batch [1299]/[3759] Speed: 117.422501 samples/sec accuracy=67.877404 loss=1.351863 lr=0.001490 Epoch[183] Batch [1349]/[3759] Speed: 118.242153 samples/sec accuracy=67.835648 loss=1.352219 lr=0.001487 Epoch[183] Batch [1399]/[3759] Speed: 115.480069 samples/sec accuracy=67.813616 loss=1.354192 lr=0.001484 Epoch[183] Batch [1449]/[3759] Speed: 117.674552 samples/sec accuracy=67.808190 loss=1.354762 lr=0.001481 Epoch[183] Batch [1499]/[3759] Speed: 117.710412 samples/sec accuracy=67.764583 loss=1.356983 lr=0.001478 Epoch[183] Batch [1549]/[3759] Speed: 117.654434 samples/sec accuracy=67.781250 loss=1.357045 lr=0.001475 Epoch[183] Batch [1599]/[3759] Speed: 117.149848 samples/sec accuracy=67.734375 loss=1.358992 lr=0.001472 Epoch[183] Batch [1649]/[3759] Speed: 118.038625 samples/sec accuracy=67.666667 loss=1.362055 lr=0.001469 Epoch[183] Batch [1699]/[3759] Speed: 117.915668 samples/sec accuracy=67.635110 loss=1.362931 lr=0.001465 Epoch[183] Batch [1749]/[3759] Speed: 118.647873 samples/sec accuracy=67.608929 loss=1.365210 lr=0.001462 Epoch[183] Batch [1799]/[3759] Speed: 117.501827 samples/sec accuracy=67.636285 loss=1.363689 lr=0.001459 Epoch[183] Batch [1849]/[3759] Speed: 116.182587 samples/sec accuracy=67.647804 loss=1.362979 lr=0.001456 Epoch[183] Batch [1899]/[3759] Speed: 118.013020 samples/sec accuracy=67.616776 loss=1.364661 lr=0.001453 Epoch[183] Batch [1949]/[3759] Speed: 117.867686 samples/sec accuracy=67.572115 loss=1.365341 lr=0.001450 Epoch[183] Batch [1999]/[3759] Speed: 117.684250 samples/sec accuracy=67.584375 loss=1.365361 lr=0.001447 Epoch[183] Batch [2049]/[3759] Speed: 117.134904 samples/sec accuracy=67.570122 loss=1.365613 lr=0.001444 Epoch[183] Batch [2099]/[3759] Speed: 117.990235 samples/sec accuracy=67.597470 loss=1.364139 lr=0.001441 Epoch[183] Batch [2149]/[3759] Speed: 117.904106 samples/sec accuracy=67.617006 loss=1.363347 lr=0.001438 Epoch[183] Batch [2199]/[3759] Speed: 116.882062 samples/sec accuracy=67.635653 loss=1.362524 lr=0.001435 Epoch[183] Batch [2249]/[3759] Speed: 117.434088 samples/sec accuracy=67.652778 loss=1.361469 lr=0.001432 Epoch[183] Batch [2299]/[3759] Speed: 117.732749 samples/sec accuracy=67.661685 loss=1.361971 lr=0.001429 Epoch[183] Batch [2349]/[3759] Speed: 117.376481 samples/sec accuracy=67.678191 loss=1.361360 lr=0.001425 Epoch[183] Batch [2399]/[3759] Speed: 116.495341 samples/sec accuracy=67.657552 loss=1.362350 lr=0.001422 Epoch[183] Batch [2449]/[3759] Speed: 117.129931 samples/sec accuracy=67.627551 loss=1.363821 lr=0.001419 Epoch[183] Batch [2499]/[3759] Speed: 116.919082 samples/sec accuracy=67.613750 loss=1.363787 lr=0.001416 Epoch[183] Batch [2549]/[3759] Speed: 117.674597 samples/sec accuracy=67.635417 loss=1.363918 lr=0.001413 Epoch[183] Batch [2599]/[3759] Speed: 117.820793 samples/sec accuracy=67.623197 loss=1.364797 lr=0.001410 Epoch[183] Batch [2649]/[3759] Speed: 118.349260 samples/sec accuracy=67.596108 loss=1.365096 lr=0.001407 Epoch[183] Batch [2699]/[3759] Speed: 117.634464 samples/sec accuracy=67.612847 loss=1.364747 lr=0.001404 Epoch[183] Batch [2749]/[3759] Speed: 116.957077 samples/sec accuracy=67.619886 loss=1.364463 lr=0.001401 Epoch[183] Batch [2799]/[3759] Speed: 117.202625 samples/sec accuracy=67.622210 loss=1.364104 lr=0.001398 Epoch[183] Batch [2849]/[3759] Speed: 117.963898 samples/sec accuracy=67.610197 loss=1.365310 lr=0.001395 Epoch[183] Batch [2899]/[3759] Speed: 117.004266 samples/sec accuracy=67.591595 loss=1.365841 lr=0.001392 Epoch[183] Batch [2949]/[3759] Speed: 117.165516 samples/sec accuracy=67.574153 loss=1.367024 lr=0.001389 Epoch[183] Batch [2999]/[3759] Speed: 114.892769 samples/sec accuracy=67.576563 loss=1.367073 lr=0.001386 Epoch[183] Batch [3049]/[3759] Speed: 118.105560 samples/sec accuracy=67.557889 loss=1.367189 lr=0.001383 Epoch[183] Batch [3099]/[3759] Speed: 116.629311 samples/sec accuracy=67.574597 loss=1.366660 lr=0.001380 Epoch[183] Batch [3149]/[3759] Speed: 117.704610 samples/sec accuracy=67.578869 loss=1.366599 lr=0.001377 Epoch[183] Batch [3199]/[3759] Speed: 117.269612 samples/sec accuracy=67.567383 loss=1.367336 lr=0.001374 Epoch[183] Batch [3249]/[3759] Speed: 117.938020 samples/sec accuracy=67.581250 loss=1.366874 lr=0.001371 Epoch[183] Batch [3299]/[3759] Speed: 117.155063 samples/sec accuracy=67.575284 loss=1.367015 lr=0.001368 Epoch[183] Batch [3349]/[3759] Speed: 117.419546 samples/sec accuracy=67.583489 loss=1.366969 lr=0.001365 Epoch[183] Batch [3399]/[3759] Speed: 117.711750 samples/sec accuracy=67.564798 loss=1.367818 lr=0.001362 Epoch[183] Batch [3449]/[3759] Speed: 117.557814 samples/sec accuracy=67.566576 loss=1.367497 lr=0.001359 Epoch[183] Batch [3499]/[3759] Speed: 117.505190 samples/sec accuracy=67.546875 loss=1.368411 lr=0.001356 Epoch[183] Batch [3549]/[3759] Speed: 118.002008 samples/sec accuracy=67.539173 loss=1.368505 lr=0.001353 Epoch[183] Batch [3599]/[3759] Speed: 118.141742 samples/sec accuracy=67.536024 loss=1.368688 lr=0.001350 Epoch[183] Batch [3649]/[3759] Speed: 117.730070 samples/sec accuracy=67.537243 loss=1.368844 lr=0.001347 Epoch[183] Batch [3699]/[3759] Speed: 117.368630 samples/sec accuracy=67.522804 loss=1.369121 lr=0.001344 Epoch[183] Batch [3749]/[3759] Speed: 120.574821 samples/sec accuracy=67.536667 loss=1.368616 lr=0.001341 Batch [0049]/[0303]: acc-top1=60.281250 acc-top5=79.687500 Batch [0099]/[0303]: acc-top1=57.640625 acc-top5=79.625000 Batch [0149]/[0303]: acc-top1=58.937500 acc-top5=80.375000 Batch [0199]/[0303]: acc-top1=61.453125 acc-top5=81.914062 Batch [0249]/[0303]: acc-top1=60.937500 acc-top5=81.687500 Batch [0299]/[0303]: acc-top1=60.536458 acc-top5=81.744792 [Epoch 183] training: accuracy=67.539572 loss=1.368658 [Epoch 183] speed: 116 samples/sec time cost: 2173.346551 [Epoch 183] validation: acc-top1=60.483705 acc-top5=81.770833 loss=1.834068 Epoch[184] Batch [0049]/[3760] Speed: 87.484382 samples/sec accuracy=67.281250 loss=1.347841 lr=0.001338 Epoch[184] Batch [0099]/[3760] Speed: 118.110972 samples/sec accuracy=68.250000 loss=1.337432 lr=0.001335 Epoch[184] Batch [0149]/[3760] Speed: 116.660884 samples/sec accuracy=68.104167 loss=1.355214 lr=0.001332 Epoch[184] Batch [0199]/[3760] Speed: 117.907586 samples/sec accuracy=68.390625 loss=1.337156 lr=0.001329 Epoch[184] Batch [0249]/[3760] Speed: 117.492417 samples/sec accuracy=68.187500 loss=1.338602 lr=0.001326 Epoch[184] Batch [0299]/[3760] Speed: 117.160760 samples/sec accuracy=68.036458 loss=1.338536 lr=0.001323 Epoch[184] Batch [0349]/[3760] Speed: 118.401293 samples/sec accuracy=67.897321 loss=1.347407 lr=0.001320 Epoch[184] Batch [0399]/[3760] Speed: 117.169320 samples/sec accuracy=67.828125 loss=1.353680 lr=0.001317 Epoch[184] Batch [0449]/[3760] Speed: 117.787848 samples/sec accuracy=68.034722 loss=1.345555 lr=0.001314 Epoch[184] Batch [0499]/[3760] Speed: 117.653998 samples/sec accuracy=68.003125 loss=1.349169 lr=0.001311 Epoch[184] Batch [0549]/[3760] Speed: 117.664491 samples/sec accuracy=67.991477 loss=1.349906 lr=0.001308 Epoch[184] Batch [0599]/[3760] Speed: 117.705475 samples/sec accuracy=68.020833 loss=1.349010 lr=0.001305 Epoch[184] Batch [0649]/[3760] Speed: 118.213832 samples/sec accuracy=67.947115 loss=1.352314 lr=0.001302 Epoch[184] Batch [0699]/[3760] Speed: 117.699088 samples/sec accuracy=67.975446 loss=1.352543 lr=0.001299 Epoch[184] Batch [0749]/[3760] Speed: 117.332423 samples/sec accuracy=67.995833 loss=1.353625 lr=0.001296 Epoch[184] Batch [0799]/[3760] Speed: 114.772854 samples/sec accuracy=68.017578 loss=1.353822 lr=0.001294 Epoch[184] Batch [0849]/[3760] Speed: 117.573674 samples/sec accuracy=68.027574 loss=1.352433 lr=0.001291 Epoch[184] Batch [0899]/[3760] Speed: 117.185656 samples/sec accuracy=67.968750 loss=1.354416 lr=0.001288 Epoch[184] Batch [0949]/[3760] Speed: 118.195417 samples/sec accuracy=67.888158 loss=1.355457 lr=0.001285 Epoch[184] Batch [0999]/[3760] Speed: 117.531075 samples/sec accuracy=67.876563 loss=1.352888 lr=0.001282 Epoch[184] Batch [1049]/[3760] Speed: 118.012259 samples/sec accuracy=67.846726 loss=1.354665 lr=0.001279 Epoch[184] Batch [1099]/[3760] Speed: 117.454514 samples/sec accuracy=67.873580 loss=1.351361 lr=0.001276 Epoch[184] Batch [1149]/[3760] Speed: 117.401831 samples/sec accuracy=67.873641 loss=1.352201 lr=0.001273 Epoch[184] Batch [1199]/[3760] Speed: 118.145482 samples/sec accuracy=67.910156 loss=1.350118 lr=0.001270 Epoch[184] Batch [1249]/[3760] Speed: 117.545964 samples/sec accuracy=67.885000 loss=1.351285 lr=0.001267 Epoch[184] Batch [1299]/[3760] Speed: 117.158502 samples/sec accuracy=67.903846 loss=1.351095 lr=0.001265 Epoch[184] Batch [1349]/[3760] Speed: 117.819382 samples/sec accuracy=67.920139 loss=1.351161 lr=0.001262 Epoch[184] Batch [1399]/[3760] Speed: 117.481728 samples/sec accuracy=67.957589 loss=1.350336 lr=0.001259 Epoch[184] Batch [1449]/[3760] Speed: 116.907241 samples/sec accuracy=68.016164 loss=1.347634 lr=0.001256 Epoch[184] Batch [1499]/[3760] Speed: 117.765519 samples/sec accuracy=68.038542 loss=1.346550 lr=0.001253 Epoch[184] Batch [1549]/[3760] Speed: 117.504435 samples/sec accuracy=68.071573 loss=1.344921 lr=0.001250 Epoch[184] Batch [1599]/[3760] Speed: 118.039502 samples/sec accuracy=68.071289 loss=1.343718 lr=0.001247 Epoch[184] Batch [1649]/[3760] Speed: 118.308141 samples/sec accuracy=68.055871 loss=1.344148 lr=0.001244 Epoch[184] Batch [1699]/[3760] Speed: 118.369393 samples/sec accuracy=68.036765 loss=1.344385 lr=0.001242 Epoch[184] Batch [1749]/[3760] Speed: 117.686918 samples/sec accuracy=68.062500 loss=1.343202 lr=0.001239 Epoch[184] Batch [1799]/[3760] Speed: 118.329434 samples/sec accuracy=68.051215 loss=1.344408 lr=0.001236 Epoch[184] Batch [1849]/[3760] Speed: 117.721950 samples/sec accuracy=68.021959 loss=1.344734 lr=0.001233 Epoch[184] Batch [1899]/[3760] Speed: 118.173485 samples/sec accuracy=68.037007 loss=1.343120 lr=0.001230 Epoch[184] Batch [1949]/[3760] Speed: 117.571365 samples/sec accuracy=68.010417 loss=1.344249 lr=0.001227 Epoch[184] Batch [1999]/[3760] Speed: 117.814177 samples/sec accuracy=68.029688 loss=1.343887 lr=0.001225 Epoch[184] Batch [2049]/[3760] Speed: 116.787227 samples/sec accuracy=68.029726 loss=1.344139 lr=0.001222 Epoch[184] Batch [2099]/[3760] Speed: 117.121470 samples/sec accuracy=68.020089 loss=1.344033 lr=0.001219 Epoch[184] Batch [2149]/[3760] Speed: 117.836117 samples/sec accuracy=68.024709 loss=1.344279 lr=0.001216 Epoch[184] Batch [2199]/[3760] Speed: 117.527087 samples/sec accuracy=68.032670 loss=1.343297 lr=0.001213 Epoch[184] Batch [2249]/[3760] Speed: 117.922063 samples/sec accuracy=68.052083 loss=1.342489 lr=0.001210 Epoch[184] Batch [2299]/[3760] Speed: 117.641640 samples/sec accuracy=68.052989 loss=1.342994 lr=0.001208 Epoch[184] Batch [2349]/[3760] Speed: 114.469012 samples/sec accuracy=68.067819 loss=1.341718 lr=0.001205 Epoch[184] Batch [2399]/[3760] Speed: 117.348412 samples/sec accuracy=68.071615 loss=1.341480 lr=0.001202 Epoch[184] Batch [2449]/[3760] Speed: 117.912366 samples/sec accuracy=68.070153 loss=1.341338 lr=0.001199 Epoch[184] Batch [2499]/[3760] Speed: 117.126527 samples/sec accuracy=68.061875 loss=1.340730 lr=0.001196 Epoch[184] Batch 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accuracy=68.084896 loss=1.339921 lr=0.001168 Epoch[184] Batch [3049]/[3760] Speed: 118.192328 samples/sec accuracy=68.079918 loss=1.339300 lr=0.001166 Epoch[184] Batch [3099]/[3760] Speed: 117.727509 samples/sec accuracy=68.087198 loss=1.339237 lr=0.001163 Epoch[184] Batch [3149]/[3760] Speed: 116.914310 samples/sec accuracy=68.074901 loss=1.339679 lr=0.001160 Epoch[184] Batch [3199]/[3760] Speed: 117.749923 samples/sec accuracy=68.071777 loss=1.340073 lr=0.001157 Epoch[184] Batch [3249]/[3760] Speed: 117.243228 samples/sec accuracy=68.073077 loss=1.340262 lr=0.001155 Epoch[184] Batch [3299]/[3760] Speed: 117.869196 samples/sec accuracy=68.086174 loss=1.339917 lr=0.001152 Epoch[184] Batch [3349]/[3760] Speed: 117.446179 samples/sec accuracy=68.090019 loss=1.339855 lr=0.001149 Epoch[184] Batch [3399]/[3760] Speed: 117.540328 samples/sec accuracy=68.104320 loss=1.339235 lr=0.001146 Epoch[184] Batch [3449]/[3760] Speed: 117.913942 samples/sec accuracy=68.081069 loss=1.340135 lr=0.001144 Epoch[184] Batch [3499]/[3760] Speed: 116.881949 samples/sec accuracy=68.071429 loss=1.340780 lr=0.001141 Epoch[184] Batch [3549]/[3760] Speed: 118.045706 samples/sec accuracy=68.069982 loss=1.340608 lr=0.001138 Epoch[184] Batch [3599]/[3760] Speed: 117.738118 samples/sec accuracy=68.072917 loss=1.340802 lr=0.001135 Epoch[184] Batch [3649]/[3760] Speed: 117.929842 samples/sec accuracy=68.085616 loss=1.340304 lr=0.001133 Epoch[184] Batch [3699]/[3760] Speed: 117.128491 samples/sec accuracy=68.087838 loss=1.340248 lr=0.001130 Epoch[184] Batch [3749]/[3760] Speed: 119.600544 samples/sec accuracy=68.097500 loss=1.340297 lr=0.001127 Batch [0049]/[0303]: acc-top1=60.562500 acc-top5=80.406250 Batch [0099]/[0303]: acc-top1=57.562500 acc-top5=79.671875 Batch [0149]/[0303]: acc-top1=59.197917 acc-top5=80.427083 Batch [0199]/[0303]: acc-top1=61.718750 acc-top5=82.117188 Batch [0249]/[0303]: acc-top1=61.362500 acc-top5=81.912500 Batch [0299]/[0303]: acc-top1=60.927083 acc-top5=81.947917 [Epoch 184] training: accuracy=68.100898 loss=1.340196 [Epoch 184] speed: 117 samples/sec time cost: 2172.770996 [Epoch 184] validation: acc-top1=60.854992 acc-top5=81.956477 loss=1.833053 Epoch[185] Batch [0049]/[3760] Speed: 86.547243 samples/sec accuracy=69.218750 loss=1.298284 lr=0.001124 Epoch[185] Batch [0099]/[3760] Speed: 117.789464 samples/sec accuracy=69.093750 loss=1.301981 lr=0.001121 Epoch[185] Batch [0149]/[3760] Speed: 115.723882 samples/sec accuracy=69.177083 loss=1.309717 lr=0.001119 Epoch[185] Batch [0199]/[3760] Speed: 116.790799 samples/sec accuracy=69.375000 loss=1.297657 lr=0.001116 Epoch[185] Batch [0249]/[3760] Speed: 118.268235 samples/sec accuracy=69.218750 loss=1.303910 lr=0.001113 Epoch[185] Batch [0299]/[3760] Speed: 117.374003 samples/sec accuracy=69.291667 loss=1.303078 lr=0.001110 Epoch[185] Batch [0349]/[3760] Speed: 117.660241 samples/sec accuracy=69.049107 loss=1.309597 lr=0.001108 Epoch[185] Batch [0399]/[3760] Speed: 117.390794 samples/sec accuracy=69.089844 loss=1.311343 lr=0.001105 Epoch[185] Batch [0449]/[3760] Speed: 117.692102 samples/sec accuracy=69.010417 loss=1.311840 lr=0.001102 Epoch[185] Batch [0499]/[3760] Speed: 117.679732 samples/sec accuracy=69.015625 loss=1.311507 lr=0.001100 Epoch[185] Batch [0549]/[3760] Speed: 117.011701 samples/sec accuracy=68.897727 loss=1.316417 lr=0.001097 Epoch[185] Batch [0599]/[3760] Speed: 117.447559 samples/sec accuracy=68.955729 loss=1.314854 lr=0.001094 Epoch[185] Batch [0649]/[3760] Speed: 116.510257 samples/sec accuracy=68.884615 loss=1.316617 lr=0.001092 Epoch[185] Batch [0699]/[3760] Speed: 117.860979 samples/sec accuracy=68.930804 loss=1.318194 lr=0.001089 Epoch[185] Batch [0749]/[3760] Speed: 117.401103 samples/sec accuracy=68.964583 loss=1.317490 lr=0.001086 Epoch[185] Batch [0799]/[3760] Speed: 116.552541 samples/sec accuracy=69.080078 loss=1.314668 lr=0.001084 Epoch[185] Batch [0849]/[3760] Speed: 117.667567 samples/sec accuracy=69.014706 loss=1.315261 lr=0.001081 Epoch[185] Batch [0899]/[3760] Speed: 117.374643 samples/sec accuracy=69.005208 loss=1.315161 lr=0.001078 Epoch[185] Batch [0949]/[3760] Speed: 117.707191 samples/sec accuracy=68.991776 loss=1.315614 lr=0.001076 Epoch[185] Batch [0999]/[3760] Speed: 116.689407 samples/sec accuracy=68.967188 loss=1.315630 lr=0.001073 Epoch[185] Batch [1049]/[3760] Speed: 117.295687 samples/sec accuracy=68.943452 loss=1.316859 lr=0.001070 Epoch[185] Batch [1099]/[3760] Speed: 117.362087 samples/sec accuracy=68.921875 loss=1.317173 lr=0.001068 Epoch[185] Batch [1149]/[3760] Speed: 117.042544 samples/sec accuracy=68.922554 loss=1.317752 lr=0.001065 Epoch[185] Batch [1199]/[3760] Speed: 117.760553 samples/sec accuracy=68.916667 loss=1.317971 lr=0.001062 Epoch[185] Batch [1249]/[3760] Speed: 117.820696 samples/sec accuracy=68.887500 loss=1.317648 lr=0.001060 Epoch[185] Batch [1299]/[3760] Speed: 117.586993 samples/sec accuracy=68.856971 loss=1.319065 lr=0.001057 Epoch[185] Batch [1349]/[3760] Speed: 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loss=1.315956 lr=0.001031 Epoch[185] Batch [1849]/[3760] Speed: 117.633405 samples/sec accuracy=68.872466 loss=1.316984 lr=0.001028 Epoch[185] Batch [1899]/[3760] Speed: 116.231102 samples/sec accuracy=68.865132 loss=1.316533 lr=0.001026 Epoch[185] Batch [1949]/[3760] Speed: 117.816695 samples/sec accuracy=68.855769 loss=1.316797 lr=0.001023 Epoch[185] Batch [1999]/[3760] Speed: 117.054121 samples/sec accuracy=68.874219 loss=1.315934 lr=0.001020 Epoch[185] Batch [2049]/[3760] Speed: 117.648055 samples/sec accuracy=68.881098 loss=1.315785 lr=0.001018 Epoch[185] Batch [2099]/[3760] Speed: 117.498150 samples/sec accuracy=68.874256 loss=1.314903 lr=0.001015 Epoch[185] Batch [2149]/[3760] Speed: 116.985547 samples/sec accuracy=68.900436 loss=1.314538 lr=0.001013 Epoch[185] Batch [2199]/[3760] Speed: 117.858190 samples/sec accuracy=68.904830 loss=1.313875 lr=0.001010 Epoch[185] Batch [2249]/[3760] Speed: 117.595246 samples/sec accuracy=68.923611 loss=1.312995 lr=0.001007 Epoch[185] Batch 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accuracy=68.873864 loss=1.312986 lr=0.000982 Epoch[185] Batch [2799]/[3760] Speed: 117.454625 samples/sec accuracy=68.880580 loss=1.312449 lr=0.000979 Epoch[185] Batch [2849]/[3760] Speed: 117.331958 samples/sec accuracy=68.854167 loss=1.313319 lr=0.000977 Epoch[185] Batch [2899]/[3760] Speed: 118.103865 samples/sec accuracy=68.848599 loss=1.313271 lr=0.000974 Epoch[185] Batch [2949]/[3760] Speed: 117.755563 samples/sec accuracy=68.844809 loss=1.313687 lr=0.000972 Epoch[185] Batch [2999]/[3760] Speed: 117.059064 samples/sec accuracy=68.840625 loss=1.313522 lr=0.000969 Epoch[185] Batch [3049]/[3760] Speed: 117.280790 samples/sec accuracy=68.840676 loss=1.313987 lr=0.000967 Epoch[185] Batch [3099]/[3760] Speed: 117.776563 samples/sec accuracy=68.824597 loss=1.313883 lr=0.000964 Epoch[185] Batch [3149]/[3760] Speed: 117.283353 samples/sec accuracy=68.835813 loss=1.313212 lr=0.000962 Epoch[185] Batch [3199]/[3760] Speed: 117.478213 samples/sec accuracy=68.825684 loss=1.313336 lr=0.000959 Epoch[185] Batch [3249]/[3760] Speed: 117.261508 samples/sec accuracy=68.815385 loss=1.313462 lr=0.000957 Epoch[185] Batch [3299]/[3760] Speed: 117.198339 samples/sec accuracy=68.821023 loss=1.312893 lr=0.000954 Epoch[185] Batch [3349]/[3760] Speed: 114.740561 samples/sec accuracy=68.835821 loss=1.312547 lr=0.000952 Epoch[185] Batch [3399]/[3760] Speed: 117.120368 samples/sec accuracy=68.824449 loss=1.312702 lr=0.000949 Epoch[185] Batch [3449]/[3760] Speed: 117.041931 samples/sec accuracy=68.829257 loss=1.311994 lr=0.000947 Epoch[185] Batch [3499]/[3760] Speed: 117.926133 samples/sec accuracy=68.823214 loss=1.312275 lr=0.000944 Epoch[185] Batch [3549]/[3760] Speed: 117.760529 samples/sec accuracy=68.815581 loss=1.312571 lr=0.000942 Epoch[185] Batch [3599]/[3760] Speed: 117.205530 samples/sec accuracy=68.812934 loss=1.312843 lr=0.000939 Epoch[185] Batch [3649]/[3760] Speed: 117.076269 samples/sec accuracy=68.813784 loss=1.312543 lr=0.000937 Epoch[185] Batch [3699]/[3760] Speed: 117.254838 samples/sec accuracy=68.810389 loss=1.312330 lr=0.000934 Epoch[185] Batch [3749]/[3760] Speed: 120.815964 samples/sec accuracy=68.821250 loss=1.312120 lr=0.000932 Batch [0049]/[0303]: acc-top1=60.593750 acc-top5=80.125000 Batch [0099]/[0303]: acc-top1=57.937500 acc-top5=79.687500 Batch [0149]/[0303]: acc-top1=59.312500 acc-top5=80.541667 Batch [0199]/[0303]: acc-top1=61.875000 acc-top5=82.265625 Batch [0249]/[0303]: acc-top1=61.443750 acc-top5=82.050000 Batch [0299]/[0303]: acc-top1=60.963542 acc-top5=82.036458 [Epoch 185] training: accuracy=68.812749 loss=1.312498 [Epoch 185] speed: 116 samples/sec time cost: 2177.214112 [Epoch 185] validation: acc-top1=60.927186 acc-top5=82.054455 loss=1.814389 Epoch[186] Batch [0049]/[3759] Speed: 85.510932 samples/sec accuracy=69.031250 loss=1.271642 lr=0.000929 Epoch[186] Batch [0099]/[3759] Speed: 117.337719 samples/sec accuracy=68.687500 loss=1.275012 lr=0.000926 Epoch[186] Batch [0149]/[3759] Speed: 117.716947 samples/sec accuracy=68.802083 loss=1.288904 lr=0.000924 Epoch[186] Batch [0199]/[3759] Speed: 116.666461 samples/sec accuracy=69.054688 loss=1.288190 lr=0.000921 Epoch[186] Batch [0249]/[3759] Speed: 117.553845 samples/sec accuracy=69.100000 loss=1.282605 lr=0.000919 Epoch[186] Batch [0299]/[3759] Speed: 116.674770 samples/sec accuracy=69.135417 loss=1.282655 lr=0.000916 Epoch[186] Batch [0349]/[3759] Speed: 117.607351 samples/sec accuracy=69.361607 loss=1.274236 lr=0.000914 Epoch[186] Batch [0399]/[3759] Speed: 117.185027 samples/sec accuracy=69.394531 loss=1.275403 lr=0.000911 Epoch[186] Batch [0449]/[3759] Speed: 117.260680 samples/sec accuracy=69.461806 loss=1.273575 lr=0.000909 Epoch[186] Batch [0499]/[3759] Speed: 117.751657 samples/sec accuracy=69.406250 loss=1.277236 lr=0.000907 Epoch[186] Batch [0549]/[3759] Speed: 117.724135 samples/sec accuracy=69.468750 loss=1.277717 lr=0.000904 Epoch[186] Batch [0599]/[3759] Speed: 117.607276 samples/sec accuracy=69.427083 loss=1.279837 lr=0.000902 Epoch[186] Batch [0649]/[3759] Speed: 117.657369 samples/sec accuracy=69.437500 loss=1.278959 lr=0.000899 Epoch[186] Batch [0699]/[3759] Speed: 117.983863 samples/sec accuracy=69.363839 loss=1.280416 lr=0.000897 Epoch[186] Batch [0749]/[3759] Speed: 117.215696 samples/sec accuracy=69.343750 loss=1.279330 lr=0.000894 Epoch[186] Batch [0799]/[3759] Speed: 117.673237 samples/sec accuracy=69.273438 loss=1.283134 lr=0.000892 Epoch[186] Batch [0849]/[3759] Speed: 117.059585 samples/sec accuracy=69.281250 loss=1.284904 lr=0.000889 Epoch[186] Batch [0899]/[3759] Speed: 117.625850 samples/sec accuracy=69.244792 loss=1.287724 lr=0.000887 Epoch[186] Batch [0949]/[3759] Speed: 117.642749 samples/sec accuracy=69.266447 loss=1.287474 lr=0.000885 Epoch[186] Batch [0999]/[3759] Speed: 117.822802 samples/sec accuracy=69.204687 loss=1.288002 lr=0.000882 Epoch[186] Batch [1049]/[3759] Speed: 117.463300 samples/sec accuracy=69.282738 loss=1.285909 lr=0.000880 Epoch[186] Batch [1099]/[3759] Speed: 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loss=1.284817 lr=0.000856 Epoch[186] Batch [1599]/[3759] Speed: 117.742577 samples/sec accuracy=69.281250 loss=1.284969 lr=0.000854 Epoch[186] Batch [1649]/[3759] Speed: 117.066580 samples/sec accuracy=69.286932 loss=1.284925 lr=0.000851 Epoch[186] Batch [1699]/[3759] Speed: 117.583565 samples/sec accuracy=69.305147 loss=1.284885 lr=0.000849 Epoch[186] Batch [1749]/[3759] Speed: 117.431629 samples/sec accuracy=69.320536 loss=1.284973 lr=0.000846 Epoch[186] Batch [1799]/[3759] Speed: 117.691192 samples/sec accuracy=69.313368 loss=1.286694 lr=0.000844 Epoch[186] Batch [1849]/[3759] Speed: 118.057108 samples/sec accuracy=69.326858 loss=1.286423 lr=0.000842 Epoch[186] Batch [1899]/[3759] Speed: 118.220333 samples/sec accuracy=69.350329 loss=1.285472 lr=0.000839 Epoch[186] Batch [1949]/[3759] Speed: 117.582611 samples/sec accuracy=69.322115 loss=1.286512 lr=0.000837 Epoch[186] Batch [1999]/[3759] Speed: 117.281378 samples/sec accuracy=69.340625 loss=1.286299 lr=0.000835 Epoch[186] Batch 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accuracy=69.323750 loss=1.287133 lr=0.000811 Epoch[186] Batch [2549]/[3759] Speed: 117.526107 samples/sec accuracy=69.332108 loss=1.286208 lr=0.000809 Epoch[186] Batch [2599]/[3759] Speed: 117.694109 samples/sec accuracy=69.329327 loss=1.285994 lr=0.000807 Epoch[186] Batch [2649]/[3759] Speed: 116.825383 samples/sec accuracy=69.340212 loss=1.285600 lr=0.000804 Epoch[186] Batch [2699]/[3759] Speed: 116.786401 samples/sec accuracy=69.343171 loss=1.285577 lr=0.000802 Epoch[186] Batch [2749]/[3759] Speed: 117.452156 samples/sec accuracy=69.363068 loss=1.285156 lr=0.000800 Epoch[186] Batch [2799]/[3759] Speed: 114.099424 samples/sec accuracy=69.356027 loss=1.285625 lr=0.000798 Epoch[186] Batch [2849]/[3759] Speed: 117.464627 samples/sec accuracy=69.363487 loss=1.284988 lr=0.000795 Epoch[186] Batch [2899]/[3759] Speed: 117.794104 samples/sec accuracy=69.373922 loss=1.284486 lr=0.000793 Epoch[186] Batch [2949]/[3759] Speed: 116.851149 samples/sec accuracy=69.368644 loss=1.284535 lr=0.000791 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117.678993 samples/sec accuracy=69.398551 loss=1.283656 lr=0.000768 Epoch[186] Batch [3499]/[3759] Speed: 117.456212 samples/sec accuracy=69.392857 loss=1.284443 lr=0.000766 Epoch[186] Batch [3549]/[3759] Speed: 117.000641 samples/sec accuracy=69.403169 loss=1.284014 lr=0.000763 Epoch[186] Batch [3599]/[3759] Speed: 117.332400 samples/sec accuracy=69.420139 loss=1.283119 lr=0.000761 Epoch[186] Batch [3649]/[3759] Speed: 117.789175 samples/sec accuracy=69.420805 loss=1.283018 lr=0.000759 Epoch[186] Batch [3699]/[3759] Speed: 116.959101 samples/sec accuracy=69.415963 loss=1.283792 lr=0.000757 Epoch[186] Batch [3749]/[3759] Speed: 120.802598 samples/sec accuracy=69.415000 loss=1.283796 lr=0.000755 Batch [0049]/[0303]: acc-top1=60.937500 acc-top5=80.531250 Batch [0099]/[0303]: acc-top1=58.750000 acc-top5=80.281250 Batch [0149]/[0303]: acc-top1=60.010417 acc-top5=80.833333 Batch [0199]/[0303]: acc-top1=62.406250 acc-top5=82.382812 Batch [0249]/[0303]: acc-top1=61.906250 acc-top5=82.062500 Batch [0299]/[0303]: acc-top1=61.359375 acc-top5=82.109375 [Epoch 186] training: accuracy=69.412992 loss=1.283830 [Epoch 186] speed: 116 samples/sec time cost: 2177.014346 [Epoch 186] validation: acc-top1=61.267533 acc-top5=82.131807 loss=1.791538 Epoch[187] Batch [0049]/[3760] Speed: 87.263752 samples/sec accuracy=69.187500 loss=1.303880 lr=0.000752 Epoch[187] Batch [0099]/[3760] Speed: 117.791793 samples/sec accuracy=69.343750 loss=1.285741 lr=0.000750 Epoch[187] Batch [0149]/[3760] Speed: 117.630146 samples/sec accuracy=69.260417 loss=1.286782 lr=0.000747 Epoch[187] Batch [0199]/[3760] Speed: 117.308209 samples/sec accuracy=69.476562 loss=1.283167 lr=0.000745 Epoch[187] Batch [0249]/[3760] Speed: 117.136811 samples/sec accuracy=69.631250 loss=1.275008 lr=0.000743 Epoch[187] Batch [0299]/[3760] Speed: 116.844419 samples/sec accuracy=69.838542 loss=1.274271 lr=0.000741 Epoch[187] Batch [0349]/[3760] Speed: 117.122467 samples/sec accuracy=70.035714 loss=1.267712 lr=0.000739 Epoch[187] 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samples/sec accuracy=69.529412 loss=1.275688 lr=0.000717 Epoch[187] Batch [0899]/[3760] Speed: 117.325884 samples/sec accuracy=69.545139 loss=1.273972 lr=0.000714 Epoch[187] Batch [0949]/[3760] Speed: 117.212394 samples/sec accuracy=69.603618 loss=1.271792 lr=0.000712 Epoch[187] Batch [0999]/[3760] Speed: 118.224476 samples/sec accuracy=69.582813 loss=1.271948 lr=0.000710 Epoch[187] Batch [1049]/[3760] Speed: 117.837055 samples/sec accuracy=69.480655 loss=1.275454 lr=0.000708 Epoch[187] Batch [1099]/[3760] Speed: 117.452576 samples/sec accuracy=69.536932 loss=1.272719 lr=0.000706 Epoch[187] Batch [1149]/[3760] Speed: 118.280103 samples/sec accuracy=69.528533 loss=1.273615 lr=0.000704 Epoch[187] Batch [1199]/[3760] Speed: 116.928375 samples/sec accuracy=69.507812 loss=1.274866 lr=0.000702 Epoch[187] Batch [1249]/[3760] Speed: 117.577164 samples/sec accuracy=69.592500 loss=1.271696 lr=0.000699 Epoch[187] Batch [1299]/[3760] Speed: 117.317452 samples/sec accuracy=69.602163 loss=1.272548 lr=0.000697 Epoch[187] Batch [1349]/[3760] Speed: 117.111581 samples/sec accuracy=69.594907 loss=1.273254 lr=0.000695 Epoch[187] Batch [1399]/[3760] Speed: 117.300813 samples/sec accuracy=69.588170 loss=1.273130 lr=0.000693 Epoch[187] Batch [1449]/[3760] Speed: 117.063780 samples/sec accuracy=69.599138 loss=1.272674 lr=0.000691 Epoch[187] Batch [1499]/[3760] Speed: 116.833457 samples/sec accuracy=69.627083 loss=1.271343 lr=0.000689 Epoch[187] Batch [1549]/[3760] Speed: 117.505600 samples/sec accuracy=69.661290 loss=1.269927 lr=0.000687 Epoch[187] Batch [1599]/[3760] Speed: 116.989077 samples/sec accuracy=69.666016 loss=1.269821 lr=0.000684 Epoch[187] Batch [1649]/[3760] Speed: 117.667299 samples/sec accuracy=69.682765 loss=1.269146 lr=0.000682 Epoch[187] Batch [1699]/[3760] Speed: 118.587290 samples/sec accuracy=69.672794 loss=1.269704 lr=0.000680 Epoch[187] Batch [1749]/[3760] Speed: 117.613278 samples/sec accuracy=69.685714 loss=1.268602 lr=0.000678 Epoch[187] Batch [1799]/[3760] Speed: 117.300856 samples/sec accuracy=69.700521 loss=1.268283 lr=0.000676 Epoch[187] Batch [1849]/[3760] Speed: 117.180479 samples/sec accuracy=69.690034 loss=1.267488 lr=0.000674 Epoch[187] Batch [1899]/[3760] Speed: 117.828120 samples/sec accuracy=69.744243 loss=1.265426 lr=0.000672 Epoch[187] Batch [1949]/[3760] Speed: 117.585829 samples/sec accuracy=69.776442 loss=1.263819 lr=0.000670 Epoch[187] Batch [1999]/[3760] Speed: 118.047797 samples/sec accuracy=69.787500 loss=1.263458 lr=0.000667 Epoch[187] Batch [2049]/[3760] Speed: 117.873488 samples/sec accuracy=69.784299 loss=1.263386 lr=0.000665 Epoch[187] Batch [2099]/[3760] Speed: 117.166180 samples/sec accuracy=69.761161 loss=1.263563 lr=0.000663 Epoch[187] Batch [2149]/[3760] Speed: 117.746750 samples/sec accuracy=69.787791 loss=1.263005 lr=0.000661 Epoch[187] Batch [2199]/[3760] Speed: 117.254878 samples/sec accuracy=69.796875 loss=1.262903 lr=0.000659 Epoch[187] Batch [2249]/[3760] Speed: 114.880930 samples/sec accuracy=69.790972 loss=1.263267 lr=0.000657 Epoch[187] Batch [2299]/[3760] Speed: 118.446656 samples/sec accuracy=69.787364 loss=1.263273 lr=0.000655 Epoch[187] Batch [2349]/[3760] Speed: 118.050484 samples/sec accuracy=69.796543 loss=1.263610 lr=0.000653 Epoch[187] Batch [2399]/[3760] Speed: 117.447157 samples/sec accuracy=69.805990 loss=1.263296 lr=0.000651 Epoch[187] Batch [2449]/[3760] Speed: 117.489252 samples/sec accuracy=69.820791 loss=1.263013 lr=0.000649 Epoch[187] Batch [2499]/[3760] Speed: 118.350517 samples/sec accuracy=69.847500 loss=1.262027 lr=0.000647 Epoch[187] Batch [2549]/[3760] Speed: 117.673276 samples/sec accuracy=69.829044 loss=1.262183 lr=0.000645 Epoch[187] Batch [2599]/[3760] Speed: 117.344446 samples/sec accuracy=69.823317 loss=1.262576 lr=0.000643 Epoch[187] Batch [2649]/[3760] Speed: 117.106675 samples/sec accuracy=69.824292 loss=1.262761 lr=0.000640 Epoch[187] Batch [2699]/[3760] Speed: 117.194153 samples/sec accuracy=69.814815 loss=1.263220 lr=0.000638 Epoch[187] Batch [2749]/[3760] Speed: 116.946655 samples/sec accuracy=69.791477 loss=1.263986 lr=0.000636 Epoch[187] Batch [2799]/[3760] Speed: 117.267354 samples/sec accuracy=69.812500 loss=1.263535 lr=0.000634 Epoch[187] Batch [2849]/[3760] Speed: 117.596709 samples/sec accuracy=69.819627 loss=1.263537 lr=0.000632 Epoch[187] Batch [2899]/[3760] Speed: 116.605485 samples/sec accuracy=69.818966 loss=1.263434 lr=0.000630 Epoch[187] Batch [2949]/[3760] Speed: 117.830770 samples/sec accuracy=69.801377 loss=1.264395 lr=0.000628 Epoch[187] Batch [2999]/[3760] Speed: 117.088811 samples/sec accuracy=69.815104 loss=1.263979 lr=0.000626 Epoch[187] Batch [3049]/[3760] Speed: 117.568071 samples/sec accuracy=69.797131 loss=1.264523 lr=0.000624 Epoch[187] Batch [3099]/[3760] Speed: 116.787575 samples/sec accuracy=69.813004 loss=1.264093 lr=0.000622 Epoch[187] Batch [3149]/[3760] Speed: 117.575006 samples/sec accuracy=69.827381 loss=1.263170 lr=0.000620 Epoch[187] Batch [3199]/[3760] Speed: 117.517209 samples/sec accuracy=69.840332 loss=1.263034 lr=0.000618 Epoch[187] Batch [3249]/[3760] Speed: 117.783253 samples/sec accuracy=69.841827 loss=1.262883 lr=0.000616 Epoch[187] Batch [3299]/[3760] Speed: 118.098923 samples/sec accuracy=69.821970 loss=1.263086 lr=0.000614 Epoch[187] Batch [3349]/[3760] Speed: 117.692669 samples/sec accuracy=69.847948 loss=1.261919 lr=0.000612 Epoch[187] Batch [3399]/[3760] Speed: 117.761116 samples/sec accuracy=69.842831 loss=1.262815 lr=0.000610 Epoch[187] Batch [3449]/[3760] Speed: 117.823117 samples/sec accuracy=69.848732 loss=1.262788 lr=0.000608 Epoch[187] Batch [3499]/[3760] Speed: 117.665312 samples/sec accuracy=69.839286 loss=1.263300 lr=0.000606 Epoch[187] Batch [3549]/[3760] Speed: 117.778963 samples/sec accuracy=69.841109 loss=1.263150 lr=0.000604 Epoch[187] Batch [3599]/[3760] Speed: 117.746707 samples/sec accuracy=69.819878 loss=1.264041 lr=0.000602 Epoch[187] Batch [3649]/[3760] Speed: 117.226254 samples/sec accuracy=69.842894 loss=1.263734 lr=0.000600 Epoch[187] Batch [3699]/[3760] Speed: 117.711820 samples/sec accuracy=69.842061 loss=1.263400 lr=0.000598 Epoch[187] Batch [3749]/[3760] Speed: 120.880624 samples/sec accuracy=69.848333 loss=1.262913 lr=0.000596 Batch [0049]/[0303]: acc-top1=61.531250 acc-top5=80.687500 Batch [0099]/[0303]: acc-top1=58.546875 acc-top5=80.406250 Batch [0149]/[0303]: acc-top1=59.802083 acc-top5=81.104167 Batch [0199]/[0303]: acc-top1=62.468750 acc-top5=82.710938 Batch [0249]/[0303]: acc-top1=61.937500 acc-top5=82.418750 Batch [0299]/[0303]: acc-top1=61.510417 acc-top5=82.421875 [Epoch 187] training: accuracy=69.850399 loss=1.262938 [Epoch 187] speed: 116 samples/sec time cost: 2174.815980 [Epoch 187] validation: acc-top1=61.437706 acc-top5=82.451526 loss=1.783212 Epoch[188] Batch [0049]/[3760] Speed: 84.374080 samples/sec accuracy=70.562500 loss=1.236904 lr=0.000594 Epoch[188] Batch [0099]/[3760] Speed: 117.773433 samples/sec accuracy=70.609375 loss=1.230807 lr=0.000592 Epoch[188] Batch [0149]/[3760] Speed: 117.750387 samples/sec accuracy=70.604167 loss=1.231449 lr=0.000590 Epoch[188] Batch [0199]/[3760] Speed: 117.880911 samples/sec accuracy=70.578125 loss=1.231045 lr=0.000588 Epoch[188] Batch [0249]/[3760] Speed: 117.439794 samples/sec accuracy=70.537500 loss=1.228125 lr=0.000586 Epoch[188] Batch [0299]/[3760] Speed: 117.080979 samples/sec accuracy=70.322917 loss=1.235725 lr=0.000584 Epoch[188] Batch [0349]/[3760] Speed: 117.386638 samples/sec accuracy=70.540179 loss=1.230716 lr=0.000582 Epoch[188] Batch [0399]/[3760] Speed: 116.962079 samples/sec accuracy=70.484375 loss=1.235691 lr=0.000580 Epoch[188] Batch [0449]/[3760] Speed: 117.831531 samples/sec accuracy=70.496528 loss=1.236246 lr=0.000578 Epoch[188] Batch [0499]/[3760] Speed: 117.402476 samples/sec accuracy=70.600000 loss=1.233770 lr=0.000576 Epoch[188] Batch [0549]/[3760] Speed: 117.309421 samples/sec accuracy=70.497159 loss=1.237700 lr=0.000574 Epoch[188] Batch [0599]/[3760] Speed: 117.376593 samples/sec accuracy=70.502604 loss=1.234841 lr=0.000572 Epoch[188] Batch [0649]/[3760] Speed: 117.197932 samples/sec accuracy=70.435096 loss=1.237197 lr=0.000570 Epoch[188] Batch [0699]/[3760] Speed: 117.720363 samples/sec accuracy=70.444196 loss=1.238486 lr=0.000568 Epoch[188] Batch [0749]/[3760] Speed: 116.756495 samples/sec accuracy=70.508333 loss=1.234985 lr=0.000566 Epoch[188] Batch [0799]/[3760] Speed: 117.851917 samples/sec accuracy=70.496094 loss=1.235311 lr=0.000564 Epoch[188] Batch [0849]/[3760] Speed: 116.949867 samples/sec accuracy=70.538603 loss=1.234087 lr=0.000562 Epoch[188] Batch [0899]/[3760] Speed: 117.903266 samples/sec accuracy=70.567708 loss=1.232003 lr=0.000560 Epoch[188] Batch [0949]/[3760] Speed: 117.767084 samples/sec accuracy=70.498355 loss=1.232700 lr=0.000558 Epoch[188] Batch [0999]/[3760] Speed: 116.728717 samples/sec accuracy=70.431250 loss=1.234591 lr=0.000557 Epoch[188] Batch [1049]/[3760] Speed: 117.024864 samples/sec accuracy=70.361607 loss=1.238383 lr=0.000555 Epoch[188] Batch [1099]/[3760] Speed: 117.208090 samples/sec accuracy=70.360795 loss=1.239091 lr=0.000553 Epoch[188] Batch [1149]/[3760] Speed: 117.730761 samples/sec accuracy=70.370924 loss=1.238758 lr=0.000551 Epoch[188] Batch [1199]/[3760] Speed: 117.044219 samples/sec accuracy=70.403646 loss=1.237784 lr=0.000549 Epoch[188] Batch [1249]/[3760] Speed: 118.219031 samples/sec accuracy=70.393750 loss=1.238053 lr=0.000547 Epoch[188] Batch [1299]/[3760] Speed: 117.318148 samples/sec accuracy=70.365385 loss=1.239868 lr=0.000545 Epoch[188] Batch [1349]/[3760] Speed: 117.565066 samples/sec accuracy=70.365741 loss=1.240412 lr=0.000543 Epoch[188] Batch [1399]/[3760] Speed: 117.470802 samples/sec accuracy=70.359375 loss=1.241929 lr=0.000541 Epoch[188] Batch [1449]/[3760] Speed: 117.365480 samples/sec accuracy=70.379310 loss=1.241512 lr=0.000539 Epoch[188] Batch [1499]/[3760] Speed: 117.183933 samples/sec accuracy=70.371875 loss=1.241826 lr=0.000538 Epoch[188] Batch 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accuracy=70.356250 loss=1.243487 lr=0.000519 Epoch[188] Batch [2049]/[3760] Speed: 116.543019 samples/sec accuracy=70.395579 loss=1.241743 lr=0.000517 Epoch[188] Batch [2099]/[3760] Speed: 116.574374 samples/sec accuracy=70.384673 loss=1.242134 lr=0.000515 Epoch[188] Batch [2149]/[3760] Speed: 117.452341 samples/sec accuracy=70.384448 loss=1.242074 lr=0.000513 Epoch[188] Batch [2199]/[3760] Speed: 117.312027 samples/sec accuracy=70.372869 loss=1.242791 lr=0.000511 Epoch[188] Batch [2249]/[3760] Speed: 116.851158 samples/sec accuracy=70.397917 loss=1.242570 lr=0.000510 Epoch[188] Batch [2299]/[3760] Speed: 116.856239 samples/sec accuracy=70.419837 loss=1.241706 lr=0.000508 Epoch[188] Batch [2349]/[3760] Speed: 117.583075 samples/sec accuracy=70.451463 loss=1.240326 lr=0.000506 Epoch[188] Batch [2399]/[3760] Speed: 117.116791 samples/sec accuracy=70.430339 loss=1.241442 lr=0.000504 Epoch[188] Batch [2449]/[3760] Speed: 116.735594 samples/sec accuracy=70.427934 loss=1.241850 lr=0.000502 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loss=1.241864 lr=0.000468 Epoch[188] Batch [3449]/[3760] Speed: 118.140989 samples/sec accuracy=70.468750 loss=1.241531 lr=0.000466 Epoch[188] Batch [3499]/[3760] Speed: 117.996472 samples/sec accuracy=70.475000 loss=1.241744 lr=0.000465 Epoch[188] Batch [3549]/[3760] Speed: 117.327011 samples/sec accuracy=70.491637 loss=1.241125 lr=0.000463 Epoch[188] Batch [3599]/[3760] Speed: 117.607050 samples/sec accuracy=70.493490 loss=1.241253 lr=0.000461 Epoch[188] Batch [3649]/[3760] Speed: 116.978218 samples/sec accuracy=70.506421 loss=1.240900 lr=0.000459 Epoch[188] Batch [3699]/[3760] Speed: 117.227575 samples/sec accuracy=70.510135 loss=1.241218 lr=0.000458 Epoch[188] Batch [3749]/[3760] Speed: 120.230964 samples/sec accuracy=70.505417 loss=1.241792 lr=0.000456 Batch [0049]/[0303]: acc-top1=62.093750 acc-top5=81.187500 Batch [0099]/[0303]: acc-top1=58.937500 acc-top5=80.718750 Batch [0149]/[0303]: acc-top1=60.083333 acc-top5=81.187500 Batch [0199]/[0303]: acc-top1=62.765625 acc-top5=82.828125 Batch [0249]/[0303]: acc-top1=62.162500 acc-top5=82.600000 Batch [0299]/[0303]: acc-top1=61.770833 acc-top5=82.526042 [Epoch 188] training: accuracy=70.504488 loss=1.241889 [Epoch 188] speed: 116 samples/sec time cost: 2177.899157 [Epoch 188] validation: acc-top1=61.705858 acc-top5=82.544348 loss=1.788911 Epoch[189] Batch [0049]/[3759] Speed: 87.019374 samples/sec accuracy=70.812500 loss=1.248467 lr=0.000454 Epoch[189] Batch [0099]/[3759] Speed: 117.104634 samples/sec accuracy=71.046875 loss=1.240999 lr=0.000452 Epoch[189] Batch [0149]/[3759] Speed: 117.602089 samples/sec accuracy=70.458333 loss=1.263322 lr=0.000450 Epoch[189] Batch [0199]/[3759] Speed: 117.037419 samples/sec accuracy=70.531250 loss=1.256315 lr=0.000449 Epoch[189] Batch [0249]/[3759] Speed: 117.546448 samples/sec accuracy=70.956250 loss=1.236655 lr=0.000447 Epoch[189] Batch [0299]/[3759] Speed: 117.768015 samples/sec accuracy=71.187500 loss=1.228161 lr=0.000445 Epoch[189] Batch [0349]/[3759] Speed: 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accuracy=71.115179 loss=1.217317 lr=0.000397 Epoch[189] Batch [1799]/[3759] Speed: 117.863465 samples/sec accuracy=71.119792 loss=1.217309 lr=0.000395 Epoch[189] Batch [1849]/[3759] Speed: 117.697070 samples/sec accuracy=71.140203 loss=1.215670 lr=0.000394 Epoch[189] Batch [1899]/[3759] Speed: 117.624546 samples/sec accuracy=71.167763 loss=1.214766 lr=0.000392 Epoch[189] Batch [1949]/[3759] Speed: 117.833458 samples/sec accuracy=71.164263 loss=1.214803 lr=0.000390 Epoch[189] Batch [1999]/[3759] Speed: 117.372761 samples/sec accuracy=71.164844 loss=1.214079 lr=0.000389 Epoch[189] Batch [2049]/[3759] Speed: 117.846986 samples/sec accuracy=71.169207 loss=1.214299 lr=0.000387 Epoch[189] Batch [2099]/[3759] Speed: 117.896916 samples/sec accuracy=71.179315 loss=1.213599 lr=0.000386 Epoch[189] Batch [2149]/[3759] Speed: 116.749013 samples/sec accuracy=71.138081 loss=1.214636 lr=0.000384 Epoch[189] Batch [2199]/[3759] Speed: 116.786282 samples/sec accuracy=71.129261 loss=1.213910 lr=0.000382 Epoch[189] Batch [2249]/[3759] Speed: 117.918413 samples/sec accuracy=71.081944 loss=1.215680 lr=0.000381 Epoch[189] Batch [2299]/[3759] Speed: 117.909193 samples/sec accuracy=71.084918 loss=1.215406 lr=0.000379 Epoch[189] Batch [2349]/[3759] Speed: 116.557072 samples/sec accuracy=71.115027 loss=1.214208 lr=0.000378 Epoch[189] Batch [2399]/[3759] Speed: 118.057284 samples/sec accuracy=71.070312 loss=1.215319 lr=0.000376 Epoch[189] Batch [2449]/[3759] Speed: 117.523897 samples/sec accuracy=71.086735 loss=1.215102 lr=0.000374 Epoch[189] Batch [2499]/[3759] Speed: 118.063441 samples/sec accuracy=71.085625 loss=1.214975 lr=0.000373 Epoch[189] Batch [2549]/[3759] Speed: 118.202627 samples/sec accuracy=71.087010 loss=1.215151 lr=0.000371 Epoch[189] Batch [2599]/[3759] Speed: 117.685776 samples/sec accuracy=71.075120 loss=1.215968 lr=0.000370 Epoch[189] Batch [2649]/[3759] Speed: 117.221389 samples/sec accuracy=71.058962 loss=1.216299 lr=0.000368 Epoch[189] Batch [2699]/[3759] Speed: 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loss=1.218775 lr=0.000353 Epoch[189] Batch [3199]/[3759] Speed: 117.380174 samples/sec accuracy=70.950195 loss=1.220875 lr=0.000351 Epoch[189] Batch [3249]/[3759] Speed: 117.819104 samples/sec accuracy=70.964904 loss=1.220349 lr=0.000350 Epoch[189] Batch [3299]/[3759] Speed: 117.547281 samples/sec accuracy=70.940341 loss=1.221505 lr=0.000348 Epoch[189] Batch [3349]/[3759] Speed: 117.617682 samples/sec accuracy=70.940299 loss=1.221617 lr=0.000347 Epoch[189] Batch [3399]/[3759] Speed: 117.392403 samples/sec accuracy=70.917739 loss=1.222230 lr=0.000345 Epoch[189] Batch [3449]/[3759] Speed: 117.473380 samples/sec accuracy=70.903533 loss=1.222458 lr=0.000344 Epoch[189] Batch [3499]/[3759] Speed: 117.616087 samples/sec accuracy=70.884821 loss=1.222623 lr=0.000342 Epoch[189] Batch [3549]/[3759] Speed: 118.148297 samples/sec accuracy=70.862676 loss=1.223332 lr=0.000341 Epoch[189] Batch [3599]/[3759] Speed: 117.410873 samples/sec accuracy=70.828993 loss=1.224451 lr=0.000339 Epoch[189] Batch [3649]/[3759] Speed: 118.223463 samples/sec accuracy=70.821918 loss=1.224939 lr=0.000338 Epoch[189] Batch [3699]/[3759] Speed: 117.480218 samples/sec accuracy=70.826858 loss=1.224746 lr=0.000336 Epoch[189] Batch [3749]/[3759] Speed: 120.579516 samples/sec accuracy=70.809583 loss=1.225355 lr=0.000335 Batch [0049]/[0303]: acc-top1=61.625000 acc-top5=81.343750 Batch [0099]/[0303]: acc-top1=58.828125 acc-top5=80.468750 Batch [0149]/[0303]: acc-top1=60.197917 acc-top5=80.937500 Batch [0199]/[0303]: acc-top1=62.820312 acc-top5=82.656250 Batch [0249]/[0303]: acc-top1=62.262500 acc-top5=82.450000 Batch [0299]/[0303]: acc-top1=61.869792 acc-top5=82.458333 [Epoch 189] training: accuracy=70.807978 loss=1.225358 [Epoch 189] speed: 116 samples/sec time cost: 2173.204129 [Epoch 189] validation: acc-top1=61.798680 acc-top5=82.487624 loss=1.780793 Epoch[190] Batch [0049]/[3760] Speed: 87.424764 samples/sec accuracy=71.125000 loss=1.224312 lr=0.000333 Epoch[190] Batch [0099]/[3760] Speed: 117.864280 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acc-top5=81.250000 Batch [0199]/[0303]: acc-top1=62.906250 acc-top5=82.851562 Batch [0249]/[0303]: acc-top1=62.368750 acc-top5=82.637500 Batch [0299]/[0303]: acc-top1=61.864583 acc-top5=82.593750 [Epoch 190] training: accuracy=71.170628 loss=1.208517 [Epoch 190] speed: 116 samples/sec time cost: 2174.467564 [Epoch 190] validation: acc-top1=61.798680 acc-top5=82.611386 loss=1.777737 Epoch[191] Batch [0049]/[3760] Speed: 87.216997 samples/sec accuracy=71.500000 loss=1.177858 lr=0.000230 Epoch[191] Batch [0099]/[3760] Speed: 116.705904 samples/sec accuracy=71.125000 loss=1.191624 lr=0.000229 Epoch[191] Batch [0149]/[3760] Speed: 114.938026 samples/sec accuracy=71.093750 loss=1.203242 lr=0.000228 Epoch[191] Batch [0199]/[3760] Speed: 116.980132 samples/sec accuracy=71.125000 loss=1.205212 lr=0.000227 Epoch[191] Batch [0249]/[3760] Speed: 117.649630 samples/sec accuracy=71.281250 loss=1.198347 lr=0.000226 Epoch[191] Batch [0299]/[3760] Speed: 117.237001 samples/sec accuracy=71.213542 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accuracy=71.282500 loss=1.201223 lr=0.000202 Epoch[191] Batch [1299]/[3760] Speed: 117.653613 samples/sec accuracy=71.288462 loss=1.200041 lr=0.000201 Epoch[191] Batch [1349]/[3760] Speed: 117.940393 samples/sec accuracy=71.245370 loss=1.200594 lr=0.000199 Epoch[191] Batch [1399]/[3760] Speed: 117.504237 samples/sec accuracy=71.254464 loss=1.199905 lr=0.000198 Epoch[191] Batch [1449]/[3760] Speed: 116.792303 samples/sec accuracy=71.283405 loss=1.199134 lr=0.000197 Epoch[191] Batch [1499]/[3760] Speed: 117.823305 samples/sec accuracy=71.295833 loss=1.198670 lr=0.000196 Epoch[191] Batch [1549]/[3760] Speed: 117.013628 samples/sec accuracy=71.277218 loss=1.199167 lr=0.000195 Epoch[191] Batch [1599]/[3760] Speed: 117.813229 samples/sec accuracy=71.274414 loss=1.198952 lr=0.000194 Epoch[191] Batch [1649]/[3760] Speed: 117.388190 samples/sec accuracy=71.277462 loss=1.198618 lr=0.000193 Epoch[191] Batch [1699]/[3760] Speed: 117.985985 samples/sec accuracy=71.262868 loss=1.198952 lr=0.000191 Epoch[191] Batch [1749]/[3760] Speed: 114.512977 samples/sec accuracy=71.241071 loss=1.199915 lr=0.000190 Epoch[191] Batch [1799]/[3760] Speed: 117.191406 samples/sec accuracy=71.238715 loss=1.199435 lr=0.000189 Epoch[191] Batch [1849]/[3760] Speed: 118.081919 samples/sec accuracy=71.246622 loss=1.198856 lr=0.000188 Epoch[191] Batch [1899]/[3760] Speed: 117.344469 samples/sec accuracy=71.236842 loss=1.199087 lr=0.000187 Epoch[191] Batch [1949]/[3760] Speed: 117.061849 samples/sec accuracy=71.220353 loss=1.199827 lr=0.000186 Epoch[191] Batch [1999]/[3760] Speed: 117.127365 samples/sec accuracy=71.233594 loss=1.199548 lr=0.000185 Epoch[191] Batch [2049]/[3760] Speed: 116.930277 samples/sec accuracy=71.254573 loss=1.198591 lr=0.000184 Epoch[191] Batch [2099]/[3760] Speed: 116.671929 samples/sec accuracy=71.279762 loss=1.198002 lr=0.000183 Epoch[191] Batch [2149]/[3760] Speed: 117.538666 samples/sec accuracy=71.273983 loss=1.197415 lr=0.000181 Epoch[191] Batch [2199]/[3760] Speed: 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loss=1.200043 lr=0.000171 Epoch[191] Batch [2699]/[3760] Speed: 117.128978 samples/sec accuracy=71.275463 loss=1.200027 lr=0.000170 Epoch[191] Batch [2749]/[3760] Speed: 117.522990 samples/sec accuracy=71.303409 loss=1.199721 lr=0.000169 Epoch[191] Batch [2799]/[3760] Speed: 117.569071 samples/sec accuracy=71.323661 loss=1.198823 lr=0.000167 Epoch[191] Batch [2849]/[3760] Speed: 116.685393 samples/sec accuracy=71.346491 loss=1.198037 lr=0.000166 Epoch[191] Batch [2899]/[3760] Speed: 117.060512 samples/sec accuracy=71.359914 loss=1.197733 lr=0.000165 Epoch[191] Batch [2949]/[3760] Speed: 117.454141 samples/sec accuracy=71.369174 loss=1.197207 lr=0.000164 Epoch[191] Batch [2999]/[3760] Speed: 117.670342 samples/sec accuracy=71.364583 loss=1.197849 lr=0.000163 Epoch[191] Batch [3049]/[3760] Speed: 117.006566 samples/sec accuracy=71.371414 loss=1.197108 lr=0.000162 Epoch[191] Batch [3099]/[3760] Speed: 117.280481 samples/sec accuracy=71.382560 loss=1.197473 lr=0.000161 Epoch[191] Batch 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accuracy=71.402344 loss=1.196485 lr=0.000151 Epoch[191] Batch [3649]/[3760] Speed: 117.594234 samples/sec accuracy=71.421661 loss=1.196313 lr=0.000150 Epoch[191] Batch [3699]/[3760] Speed: 116.938349 samples/sec accuracy=71.440034 loss=1.196135 lr=0.000149 Epoch[191] Batch [3749]/[3760] Speed: 120.601667 samples/sec accuracy=71.410417 loss=1.196664 lr=0.000148 Batch [0049]/[0303]: acc-top1=61.718750 acc-top5=80.875000 Batch [0099]/[0303]: acc-top1=59.015625 acc-top5=80.578125 Batch [0149]/[0303]: acc-top1=60.510417 acc-top5=81.229167 Batch [0199]/[0303]: acc-top1=63.195312 acc-top5=82.937500 Batch [0249]/[0303]: acc-top1=62.593750 acc-top5=82.637500 Batch [0299]/[0303]: acc-top1=62.067708 acc-top5=82.598958 [Epoch 191] training: accuracy=71.410406 loss=1.196732 [Epoch 191] speed: 116 samples/sec time cost: 2177.984783 [Epoch 191] validation: acc-top1=61.984323 acc-top5=82.616543 loss=1.775270 Epoch[192] Batch [0049]/[3759] Speed: 88.590522 samples/sec accuracy=70.812500 loss=1.204265 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accuracy=71.682812 loss=1.192797 lr=0.000129 Epoch[192] Batch [1049]/[3759] Speed: 117.729764 samples/sec accuracy=71.741071 loss=1.191660 lr=0.000128 Epoch[192] Batch [1099]/[3759] Speed: 114.828655 samples/sec accuracy=71.717330 loss=1.192842 lr=0.000127 Epoch[192] Batch [1149]/[3759] Speed: 117.403658 samples/sec accuracy=71.607337 loss=1.195953 lr=0.000126 Epoch[192] Batch [1199]/[3759] Speed: 118.178823 samples/sec accuracy=71.630208 loss=1.194059 lr=0.000125 Epoch[192] Batch [1249]/[3759] Speed: 117.566493 samples/sec accuracy=71.630000 loss=1.194203 lr=0.000124 Epoch[192] Batch [1299]/[3759] Speed: 117.664913 samples/sec accuracy=71.683894 loss=1.192055 lr=0.000123 Epoch[192] Batch [1349]/[3759] Speed: 117.608202 samples/sec accuracy=71.699074 loss=1.191856 lr=0.000122 Epoch[192] Batch [1399]/[3759] Speed: 117.826061 samples/sec accuracy=71.674107 loss=1.193517 lr=0.000121 Epoch[192] Batch [1449]/[3759] Speed: 117.415231 samples/sec accuracy=71.646552 loss=1.193296 lr=0.000120 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accuracy=71.547575 loss=1.191001 lr=0.000089 Epoch[192] Batch [3399]/[3759] Speed: 118.065211 samples/sec accuracy=71.541360 loss=1.190995 lr=0.000088 Epoch[192] Batch [3449]/[3759] Speed: 117.655022 samples/sec accuracy=71.548007 loss=1.191212 lr=0.000087 Epoch[192] Batch [3499]/[3759] Speed: 117.656112 samples/sec accuracy=71.546429 loss=1.191049 lr=0.000087 Epoch[192] Batch [3549]/[3759] Speed: 117.566252 samples/sec accuracy=71.527729 loss=1.191682 lr=0.000086 Epoch[192] Batch [3599]/[3759] Speed: 118.207585 samples/sec accuracy=71.516493 loss=1.192336 lr=0.000085 Epoch[192] Batch [3649]/[3759] Speed: 117.282243 samples/sec accuracy=71.503853 loss=1.193022 lr=0.000084 Epoch[192] Batch [3699]/[3759] Speed: 117.499907 samples/sec accuracy=71.492821 loss=1.193285 lr=0.000084 Epoch[192] Batch [3749]/[3759] Speed: 120.748697 samples/sec accuracy=71.505000 loss=1.192914 lr=0.000083 Batch [0049]/[0303]: acc-top1=61.937500 acc-top5=81.250000 Batch [0099]/[0303]: acc-top1=59.046875 acc-top5=80.703125 Batch [0149]/[0303]: acc-top1=60.468750 acc-top5=81.270833 Batch [0199]/[0303]: acc-top1=63.085938 acc-top5=83.007812 Batch [0249]/[0303]: acc-top1=62.531250 acc-top5=82.837500 Batch [0299]/[0303]: acc-top1=62.093750 acc-top5=82.843750 [Epoch 192] training: accuracy=71.506302 loss=1.193012 [Epoch 192] speed: 117 samples/sec time cost: 2171.590899 [Epoch 192] validation: acc-top1=62.041048 acc-top5=82.869224 loss=1.771651 Epoch[193] Batch [0049]/[3760] Speed: 87.229481 samples/sec accuracy=71.718750 loss=1.197348 lr=0.000082 Epoch[193] Batch [0099]/[3760] Speed: 117.429783 samples/sec accuracy=71.468750 loss=1.193966 lr=0.000081 Epoch[193] Batch [0149]/[3760] Speed: 117.805648 samples/sec accuracy=71.760417 loss=1.175130 lr=0.000080 Epoch[193] Batch [0199]/[3760] Speed: 116.928644 samples/sec accuracy=71.578125 loss=1.184360 lr=0.000080 Epoch[193] Batch [0249]/[3760] Speed: 118.220296 samples/sec accuracy=71.462500 loss=1.185426 lr=0.000079 Epoch[193] Batch 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accuracy=71.620833 loss=1.188755 lr=0.000072 Epoch[193] Batch [0799]/[3760] Speed: 117.071512 samples/sec accuracy=71.582031 loss=1.187727 lr=0.000071 Epoch[193] Batch [0849]/[3760] Speed: 117.428820 samples/sec accuracy=71.580882 loss=1.190635 lr=0.000071 Epoch[193] Batch [0899]/[3760] Speed: 117.070885 samples/sec accuracy=71.600694 loss=1.189836 lr=0.000070 Epoch[193] Batch [0949]/[3760] Speed: 117.361665 samples/sec accuracy=71.649671 loss=1.189331 lr=0.000069 Epoch[193] Batch [0999]/[3760] Speed: 117.351428 samples/sec accuracy=71.665625 loss=1.188003 lr=0.000069 Epoch[193] Batch [1049]/[3760] Speed: 117.787513 samples/sec accuracy=71.651786 loss=1.188287 lr=0.000068 Epoch[193] Batch [1099]/[3760] Speed: 118.024858 samples/sec accuracy=71.678977 loss=1.187396 lr=0.000067 Epoch[193] Batch [1149]/[3760] Speed: 117.456433 samples/sec accuracy=71.721467 loss=1.186242 lr=0.000067 Epoch[193] Batch [1199]/[3760] Speed: 117.894426 samples/sec accuracy=71.759115 loss=1.184983 lr=0.000066 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loss=1.178681 lr=0.000054 Epoch[193] Batch [2199]/[3760] Speed: 117.110612 samples/sec accuracy=71.865767 loss=1.178291 lr=0.000053 Epoch[193] Batch [2249]/[3760] Speed: 117.872947 samples/sec accuracy=71.864583 loss=1.178761 lr=0.000053 Epoch[193] Batch [2299]/[3760] Speed: 117.976124 samples/sec accuracy=71.857337 loss=1.179208 lr=0.000052 Epoch[193] Batch [2349]/[3760] Speed: 114.664864 samples/sec accuracy=71.861037 loss=1.179248 lr=0.000052 Epoch[193] Batch [2399]/[3760] Speed: 117.418370 samples/sec accuracy=71.865885 loss=1.178967 lr=0.000051 Epoch[193] Batch [2449]/[3760] Speed: 116.902120 samples/sec accuracy=71.896046 loss=1.177661 lr=0.000050 Epoch[193] Batch [2499]/[3760] Speed: 117.690660 samples/sec accuracy=71.892500 loss=1.178135 lr=0.000050 Epoch[193] Batch [2549]/[3760] Speed: 117.971316 samples/sec accuracy=71.893382 loss=1.178604 lr=0.000049 Epoch[193] Batch [2599]/[3760] Speed: 117.657379 samples/sec accuracy=71.871394 loss=1.179270 lr=0.000049 Epoch[193] Batch 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accuracy=71.876512 loss=1.180092 lr=0.000043 Epoch[193] Batch [3149]/[3760] Speed: 117.388171 samples/sec accuracy=71.866567 loss=1.180373 lr=0.000043 Epoch[193] Batch [3199]/[3760] Speed: 118.001956 samples/sec accuracy=71.860352 loss=1.180837 lr=0.000042 Epoch[193] Batch [3249]/[3760] Speed: 117.878432 samples/sec accuracy=71.856731 loss=1.181135 lr=0.000042 Epoch[193] Batch [3299]/[3760] Speed: 117.809526 samples/sec accuracy=71.867898 loss=1.180923 lr=0.000041 Epoch[193] Batch [3349]/[3760] Speed: 117.581828 samples/sec accuracy=71.877799 loss=1.180488 lr=0.000040 Epoch[193] Batch [3399]/[3760] Speed: 118.152181 samples/sec accuracy=71.901195 loss=1.179211 lr=0.000040 Epoch[193] Batch [3449]/[3760] Speed: 117.521575 samples/sec accuracy=71.892210 loss=1.179564 lr=0.000039 Epoch[193] Batch [3499]/[3760] Speed: 117.394422 samples/sec accuracy=71.891964 loss=1.179767 lr=0.000039 Epoch[193] Batch [3549]/[3760] Speed: 117.685291 samples/sec accuracy=71.887324 loss=1.179993 lr=0.000038 Epoch[193] Batch [3599]/[3760] Speed: 117.778863 samples/sec accuracy=71.881510 loss=1.180155 lr=0.000038 Epoch[193] Batch [3649]/[3760] Speed: 117.650352 samples/sec accuracy=71.855736 loss=1.180922 lr=0.000037 Epoch[193] Batch [3699]/[3760] Speed: 117.688107 samples/sec accuracy=71.859375 loss=1.180100 lr=0.000037 Epoch[193] Batch [3749]/[3760] Speed: 121.274941 samples/sec accuracy=71.858750 loss=1.179867 lr=0.000036 Batch [0049]/[0303]: acc-top1=62.500000 acc-top5=81.062500 Batch [0099]/[0303]: acc-top1=59.671875 acc-top5=80.656250 Batch [0149]/[0303]: acc-top1=60.770833 acc-top5=81.270833 Batch [0199]/[0303]: acc-top1=63.367188 acc-top5=82.945312 Batch [0249]/[0303]: acc-top1=62.731250 acc-top5=82.718750 Batch [0299]/[0303]: acc-top1=62.234375 acc-top5=82.671875 [Epoch 193] training: accuracy=71.857131 loss=1.180037 [Epoch 193] speed: 117 samples/sec time cost: 2173.027952 [Epoch 193] validation: acc-top1=62.175124 acc-top5=82.688738 loss=1.775081 Epoch[194] Batch [0049]/[3759] Speed: 86.598461 samples/sec accuracy=72.687500 loss=1.157436 lr=0.000036 Epoch[194] Batch [0099]/[3759] Speed: 118.001132 samples/sec accuracy=71.890625 loss=1.175416 lr=0.000035 Epoch[194] Batch [0149]/[3759] Speed: 117.445996 samples/sec accuracy=71.708333 loss=1.188906 lr=0.000035 Epoch[194] Batch [0199]/[3759] Speed: 117.599318 samples/sec accuracy=71.593750 loss=1.185123 lr=0.000034 Epoch[194] Batch [0249]/[3759] Speed: 115.018863 samples/sec accuracy=71.937500 loss=1.173088 lr=0.000034 Epoch[194] Batch [0299]/[3759] Speed: 117.486961 samples/sec accuracy=71.958333 loss=1.167198 lr=0.000033 Epoch[194] Batch [0349]/[3759] Speed: 117.583448 samples/sec accuracy=72.107143 loss=1.166004 lr=0.000033 Epoch[194] Batch [0399]/[3759] Speed: 116.771528 samples/sec accuracy=72.210938 loss=1.164921 lr=0.000033 Epoch[194] Batch [0449]/[3759] Speed: 117.548032 samples/sec accuracy=72.190972 loss=1.166561 lr=0.000032 Epoch[194] Batch [0499]/[3759] Speed: 117.734891 samples/sec accuracy=72.071875 loss=1.170673 lr=0.000032 Epoch[194] Batch [0549]/[3759] Speed: 117.446275 samples/sec accuracy=72.082386 loss=1.169471 lr=0.000031 Epoch[194] Batch [0599]/[3759] Speed: 117.510190 samples/sec accuracy=72.166667 loss=1.163150 lr=0.000031 Epoch[194] Batch [0649]/[3759] Speed: 117.555817 samples/sec accuracy=72.091346 loss=1.164197 lr=0.000030 Epoch[194] Batch [0699]/[3759] Speed: 117.862906 samples/sec accuracy=72.064732 loss=1.164917 lr=0.000030 Epoch[194] Batch [0749]/[3759] Speed: 117.657732 samples/sec accuracy=72.118750 loss=1.165248 lr=0.000029 Epoch[194] Batch [0799]/[3759] Speed: 117.549639 samples/sec accuracy=72.076172 loss=1.166878 lr=0.000029 Epoch[194] Batch [0849]/[3759] Speed: 118.000282 samples/sec accuracy=72.049632 loss=1.167472 lr=0.000028 Epoch[194] Batch [0899]/[3759] Speed: 117.376447 samples/sec accuracy=72.095486 loss=1.167124 lr=0.000028 Epoch[194] Batch [0949]/[3759] Speed: 117.658264 samples/sec accuracy=72.062500 loss=1.170742 lr=0.000028 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accuracy=71.944079 loss=1.171890 lr=0.000014 Epoch[194] Batch [2899]/[3759] Speed: 118.100388 samples/sec accuracy=71.945043 loss=1.171228 lr=0.000013 Epoch[194] Batch [2949]/[3759] Speed: 117.676347 samples/sec accuracy=71.944915 loss=1.171377 lr=0.000013 Epoch[194] Batch [2999]/[3759] Speed: 118.134728 samples/sec accuracy=71.959375 loss=1.170788 lr=0.000013 Epoch[194] Batch [3049]/[3759] Speed: 117.222042 samples/sec accuracy=71.955430 loss=1.171056 lr=0.000013 Epoch[194] Batch [3099]/[3759] Speed: 117.014220 samples/sec accuracy=71.965222 loss=1.170454 lr=0.000012 Epoch[194] Batch [3149]/[3759] Speed: 117.731928 samples/sec accuracy=71.963294 loss=1.170495 lr=0.000012 Epoch[194] Batch [3199]/[3759] Speed: 115.796894 samples/sec accuracy=71.951172 loss=1.170797 lr=0.000012 Epoch[194] Batch [3249]/[3759] Speed: 118.022351 samples/sec accuracy=71.968750 loss=1.170318 lr=0.000011 Epoch[194] Batch [3299]/[3759] Speed: 117.262480 samples/sec accuracy=71.983902 loss=1.170467 lr=0.000011 Epoch[194] Batch [3349]/[3759] Speed: 117.243222 samples/sec accuracy=71.979011 loss=1.171004 lr=0.000011 Epoch[194] Batch [3399]/[3759] Speed: 117.452405 samples/sec accuracy=71.996324 loss=1.170551 lr=0.000011 Epoch[194] Batch [3449]/[3759] Speed: 117.120007 samples/sec accuracy=71.991395 loss=1.170686 lr=0.000010 Epoch[194] Batch [3499]/[3759] Speed: 117.393973 samples/sec accuracy=71.977232 loss=1.171331 lr=0.000010 Epoch[194] Batch [3549]/[3759] Speed: 114.585676 samples/sec accuracy=71.975792 loss=1.171478 lr=0.000010 Epoch[194] Batch [3599]/[3759] Speed: 117.302059 samples/sec accuracy=71.976128 loss=1.171409 lr=0.000010 Epoch[194] Batch [3649]/[3759] Speed: 118.049368 samples/sec accuracy=71.985445 loss=1.170842 lr=0.000009 Epoch[194] Batch [3699]/[3759] Speed: 117.354715 samples/sec accuracy=71.992821 loss=1.170490 lr=0.000009 Epoch[194] Batch [3749]/[3759] Speed: 120.339195 samples/sec accuracy=71.974583 loss=1.170986 lr=0.000009 Batch [0049]/[0303]: acc-top1=61.656250 acc-top5=81.125000 Batch [0099]/[0303]: acc-top1=58.921875 acc-top5=80.687500 Batch [0149]/[0303]: acc-top1=60.281250 acc-top5=81.427083 Batch [0199]/[0303]: acc-top1=63.015625 acc-top5=82.968750 Batch [0249]/[0303]: acc-top1=62.412500 acc-top5=82.668750 Batch [0299]/[0303]: acc-top1=61.942708 acc-top5=82.598958 [Epoch 194] training: accuracy=71.971851 loss=1.171014 [Epoch 194] speed: 116 samples/sec time cost: 2174.293273 [Epoch 194] validation: acc-top1=61.876031 acc-top5=82.632013 loss=1.773839 Epoch[195] Batch [0049]/[3760] Speed: 86.529962 samples/sec accuracy=72.218750 loss=1.167758 lr=0.000009 Epoch[195] Batch [0099]/[3760] Speed: 118.137047 samples/sec accuracy=72.093750 loss=1.172270 lr=0.000008 Epoch[195] Batch [0149]/[3760] Speed: 117.755141 samples/sec accuracy=72.354167 loss=1.162029 lr=0.000008 Epoch[195] Batch [0199]/[3760] Speed: 117.531713 samples/sec accuracy=72.273438 loss=1.165299 lr=0.000008 Epoch[195] Batch [0249]/[3760] Speed: 117.008411 samples/sec accuracy=72.381250 loss=1.162976 lr=0.000008 Epoch[195] Batch [0299]/[3760] Speed: 117.447947 samples/sec accuracy=72.208333 loss=1.168528 lr=0.000007 Epoch[195] Batch [0349]/[3760] Speed: 117.406728 samples/sec accuracy=72.156250 loss=1.171128 lr=0.000007 Epoch[195] Batch [0399]/[3760] Speed: 117.792764 samples/sec accuracy=72.234375 loss=1.168748 lr=0.000007 Epoch[195] Batch [0449]/[3760] Speed: 117.132396 samples/sec accuracy=72.270833 loss=1.169595 lr=0.000007 Epoch[195] Batch [0499]/[3760] Speed: 117.201648 samples/sec accuracy=72.293750 loss=1.165297 lr=0.000007 Epoch[195] Batch [0549]/[3760] Speed: 117.864655 samples/sec accuracy=72.215909 loss=1.169514 lr=0.000006 Epoch[195] Batch [0599]/[3760] Speed: 117.338099 samples/sec accuracy=72.223958 loss=1.166097 lr=0.000006 Epoch[195] Batch [0649]/[3760] Speed: 116.711553 samples/sec accuracy=72.276442 loss=1.164602 lr=0.000006 Epoch[195] Batch [0699]/[3760] Speed: 117.950558 samples/sec accuracy=72.229911 loss=1.166589 lr=0.000006 Epoch[195] Batch [0749]/[3760] Speed: 117.167449 samples/sec accuracy=72.202083 loss=1.166267 lr=0.000006 Epoch[195] Batch [0799]/[3760] Speed: 117.319180 samples/sec accuracy=72.218750 loss=1.168314 lr=0.000005 Epoch[195] Batch [0849]/[3760] Speed: 117.809873 samples/sec accuracy=72.218750 loss=1.169406 lr=0.000005 Epoch[195] Batch [0899]/[3760] Speed: 117.428933 samples/sec accuracy=72.244792 loss=1.170084 lr=0.000005 Epoch[195] Batch [0949]/[3760] Speed: 117.768434 samples/sec accuracy=72.276316 loss=1.169186 lr=0.000005 Epoch[195] Batch [0999]/[3760] Speed: 117.071279 samples/sec accuracy=72.275000 loss=1.168662 lr=0.000005 Epoch[195] Batch [1049]/[3760] Speed: 117.387863 samples/sec accuracy=72.254464 loss=1.168636 lr=0.000004 Epoch[195] Batch [1099]/[3760] Speed: 117.610276 samples/sec accuracy=72.265625 loss=1.168408 lr=0.000004 Epoch[195] Batch [1149]/[3760] Speed: 117.781411 samples/sec accuracy=72.260870 loss=1.168051 lr=0.000004 Epoch[195] Batch [1199]/[3760] Speed: 117.831806 samples/sec accuracy=72.255208 loss=1.168382 lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 117.572081 samples/sec accuracy=72.236250 loss=1.170087 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 117.519356 samples/sec accuracy=72.204327 loss=1.170704 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 117.601525 samples/sec accuracy=72.185185 loss=1.170492 lr=0.000003 Epoch[195] Batch [1399]/[3760] Speed: 116.449154 samples/sec accuracy=72.187500 loss=1.170190 lr=0.000003 Epoch[195] Batch [1449]/[3760] Speed: 114.572448 samples/sec accuracy=72.179957 loss=1.169575 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 117.210733 samples/sec accuracy=72.172917 loss=1.169143 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 117.714092 samples/sec accuracy=72.159274 loss=1.168575 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 117.748743 samples/sec accuracy=72.157227 loss=1.167325 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 117.677247 samples/sec accuracy=72.109848 loss=1.168487 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 116.777724 samples/sec accuracy=72.092831 loss=1.169940 lr=0.000002 Epoch[195] Batch [1749]/[3760] Speed: 117.283294 samples/sec accuracy=72.098214 loss=1.169101 lr=0.000002 Epoch[195] Batch [1799]/[3760] Speed: 117.695938 samples/sec accuracy=72.096354 loss=1.169380 lr=0.000002 Epoch[195] Batch [1849]/[3760] Speed: 117.545767 samples/sec accuracy=72.116554 loss=1.169473 lr=0.000002 Epoch[195] Batch [1899]/[3760] Speed: 117.366145 samples/sec accuracy=72.098684 loss=1.170031 lr=0.000002 Epoch[195] Batch [1949]/[3760] Speed: 117.926088 samples/sec accuracy=72.092147 loss=1.170942 lr=0.000002 Epoch[195] Batch [1999]/[3760] Speed: 117.516905 samples/sec accuracy=72.072656 loss=1.171210 lr=0.000002 Epoch[195] Batch [2049]/[3760] Speed: 117.214476 samples/sec accuracy=72.073171 loss=1.171453 lr=0.000002 Epoch[195] Batch [2099]/[3760] Speed: 117.905478 samples/sec accuracy=72.070685 loss=1.171797 lr=0.000002 Epoch[195] Batch [2149]/[3760] Speed: 116.804921 samples/sec accuracy=72.091570 loss=1.171075 lr=0.000001 Epoch[195] Batch [2199]/[3760] Speed: 117.624635 samples/sec accuracy=72.110085 loss=1.171332 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 117.406248 samples/sec accuracy=72.101389 loss=1.171816 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 117.721944 samples/sec accuracy=72.101223 loss=1.171303 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 116.975173 samples/sec accuracy=72.071809 loss=1.172092 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 117.656004 samples/sec accuracy=72.079427 loss=1.171699 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 117.016069 samples/sec accuracy=72.068240 loss=1.171747 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 116.876487 samples/sec accuracy=72.080625 loss=1.171235 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 116.325130 samples/sec accuracy=72.075980 loss=1.171170 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 117.020107 samples/sec accuracy=72.074519 loss=1.171267 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 116.586616 samples/sec accuracy=72.066627 loss=1.171952 lr=0.000001 Epoch[195] Batch [2699]/[3760] Speed: 116.855746 samples/sec accuracy=72.093171 loss=1.171187 lr=0.000001 Epoch[195] Batch [2749]/[3760] Speed: 117.261750 samples/sec accuracy=72.086932 loss=1.171119 lr=0.000001 Epoch[195] Batch [2799]/[3760] Speed: 117.086707 samples/sec accuracy=72.087612 loss=1.170899 lr=0.000000 Epoch[195] Batch [2849]/[3760] Speed: 117.567770 samples/sec accuracy=72.069627 loss=1.171303 lr=0.000000 Epoch[195] Batch [2899]/[3760] Speed: 117.337819 samples/sec accuracy=72.039871 loss=1.172012 lr=0.000000 Epoch[195] Batch [2949]/[3760] Speed: 117.307939 samples/sec accuracy=72.043432 loss=1.171940 lr=0.000000 Epoch[195] Batch [2999]/[3760] Speed: 116.957445 samples/sec accuracy=72.051042 loss=1.171507 lr=0.000000 Epoch[195] Batch [3049]/[3760] Speed: 117.106341 samples/sec accuracy=72.068648 loss=1.170693 lr=0.000000 Epoch[195] Batch [3099]/[3760] Speed: 117.397166 samples/sec accuracy=72.050403 loss=1.171355 lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 114.620479 samples/sec accuracy=72.039187 loss=1.172157 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 116.894661 samples/sec accuracy=72.051758 loss=1.172086 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 117.826622 samples/sec accuracy=72.048558 loss=1.172383 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 117.157209 samples/sec accuracy=72.045928 loss=1.172613 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 116.814469 samples/sec accuracy=72.059701 loss=1.171789 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 117.729522 samples/sec accuracy=72.086857 loss=1.170244 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 116.573897 samples/sec accuracy=72.096920 loss=1.169342 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 117.904211 samples/sec accuracy=72.085714 loss=1.169757 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 117.370865 samples/sec accuracy=72.065141 loss=1.170367 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 117.719684 samples/sec accuracy=72.053385 loss=1.170922 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 116.642633 samples/sec accuracy=72.062928 loss=1.170800 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 117.633284 samples/sec accuracy=72.070524 loss=1.170093 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 120.754018 samples/sec accuracy=72.073750 loss=1.169812 lr=0.000000 Batch [0049]/[0303]: acc-top1=62.156250 acc-top5=81.156250 Batch [0099]/[0303]: acc-top1=59.437500 acc-top5=80.484375 Batch [0149]/[0303]: acc-top1=60.562500 acc-top5=81.156250 Batch [0199]/[0303]: acc-top1=63.218750 acc-top5=82.898438 Batch [0249]/[0303]: acc-top1=62.743750 acc-top5=82.637500 Batch [0299]/[0303]: acc-top1=62.166667 acc-top5=82.619792 [Epoch 195] training: accuracy=72.071559 loss=1.170077 [Epoch 195] speed: 116 samples/sec time cost: 2177.198365 [Epoch 195] validation: acc-top1=62.113243 acc-top5=82.652640 loss=1.779143