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=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='p3d_res101_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='p3d_resnet101_kinetics400', momentum=0.9, new_height=256, new_length=16, new_step=2, new_width=340, no_wd=False, num_classes=400, num_crop=1, num_epochs=196, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/kinetics400/p3d/p3d_res101_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 P3D( (conv1): Conv3D(3 -> 64, 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=64) (relu): Activation(relu) (pool): MaxPool3D(size=(2, 3, 3), stride=(2, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (pool2): MaxPool3D(size=(2, 1, 1), stride=(2, 1, 1), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (layer1): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(64 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (layer2): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(256 -> 512, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(256 -> 128, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) ) (layer3): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(512 -> 1024, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(512 -> 256, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (4): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (5): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (6): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (7): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (8): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (9): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (10): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (11): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (12): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (13): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (14): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (15): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (16): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (17): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (18): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (19): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (20): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (21): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (22): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) ) (layer4): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv2D(1024 -> 2048, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv2D(1024 -> 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) ) (avgpool): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCHW) (dropout): Dropout(p = 0.5, axes=()) (fc): Dense(2048 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. 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Epoch[000] Batch [3399]/[3759] Speed: 93.130455 samples/sec accuracy=0.962776 loss=5.814794 lr=0.003634 Epoch[000] Batch [3449]/[3759] Speed: 92.722818 samples/sec accuracy=0.972373 loss=5.811055 lr=0.003672 Epoch[000] Batch [3499]/[3759] Speed: 90.605496 samples/sec accuracy=0.987054 loss=5.807601 lr=0.003711 Epoch[000] Batch [3549]/[3759] Speed: 91.253159 samples/sec accuracy=1.000000 loss=5.803898 lr=0.003750 Epoch[000] Batch [3599]/[3759] Speed: 92.226955 samples/sec accuracy=1.012153 loss=5.800236 lr=0.003789 Epoch[000] Batch [3649]/[3759] Speed: 92.140332 samples/sec accuracy=1.026541 loss=5.796515 lr=0.003827 Epoch[000] Batch [3699]/[3759] Speed: 92.332648 samples/sec accuracy=1.040963 loss=5.792666 lr=0.003866 Epoch[000] Batch [3749]/[3759] Speed: 108.809171 samples/sec accuracy=1.052917 loss=5.789185 lr=0.003905 Batch [0049]/[0303]: acc-top1=0.968750 acc-top5=4.531250 Batch [0099]/[0303]: acc-top1=0.546875 acc-top5=3.718750 Batch [0149]/[0303]: acc-top1=0.791667 acc-top5=4.833333 Batch [0199]/[0303]: acc-top1=1.507812 acc-top5=6.210938 Batch [0249]/[0303]: acc-top1=1.806250 acc-top5=6.587500 Batch [0299]/[0303]: acc-top1=1.723958 acc-top5=6.807292 [Epoch 000] training: accuracy=1.061203 loss=5.788362 [Epoch 000] speed: 91 samples/sec time cost: 2834.702200 [Epoch 000] validation: acc-top1=1.717203 acc-top5=6.827558 loss=5.689136 Epoch[001] Batch [0049]/[3760] Speed: 62.833900 samples/sec accuracy=2.375000 loss=5.487154 lr=0.003951 Epoch[001] Batch [0099]/[3760] Speed: 91.808349 samples/sec accuracy=2.203125 loss=5.498851 lr=0.003989 Epoch[001] Batch [0149]/[3760] Speed: 91.992135 samples/sec accuracy=2.187500 loss=5.497780 lr=0.004028 Epoch[001] Batch [0199]/[3760] Speed: 92.066891 samples/sec accuracy=2.226562 loss=5.489496 lr=0.004067 Epoch[001] Batch [0249]/[3760] Speed: 91.272427 samples/sec accuracy=2.175000 loss=5.484645 lr=0.004105 Epoch[001] Batch [0299]/[3760] Speed: 92.004559 samples/sec accuracy=2.177083 loss=5.476109 lr=0.004144 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accuracy=2.335938 loss=5.464765 lr=0.004531 Epoch[001] Batch [0849]/[3760] Speed: 92.572844 samples/sec accuracy=2.349265 loss=5.463990 lr=0.004570 Epoch[001] Batch [0899]/[3760] Speed: 92.181132 samples/sec accuracy=2.371528 loss=5.461070 lr=0.004609 Epoch[001] Batch [0949]/[3760] Speed: 91.951489 samples/sec accuracy=2.379934 loss=5.460318 lr=0.004648 Epoch[001] Batch [0999]/[3760] Speed: 91.309939 samples/sec accuracy=2.382812 loss=5.459116 lr=0.004686 Epoch[001] Batch [1049]/[3760] Speed: 90.787281 samples/sec accuracy=2.397321 loss=5.456224 lr=0.004725 Epoch[001] Batch [1099]/[3760] Speed: 93.168104 samples/sec accuracy=2.401989 loss=5.454554 lr=0.004764 Epoch[001] Batch [1149]/[3760] Speed: 91.927474 samples/sec accuracy=2.402174 loss=5.453800 lr=0.004803 Epoch[001] Batch [1199]/[3760] Speed: 90.654238 samples/sec accuracy=2.411458 loss=5.452945 lr=0.004841 Epoch[001] Batch [1249]/[3760] Speed: 92.132654 samples/sec accuracy=2.448750 loss=5.449355 lr=0.004880 Epoch[001] Batch 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lr=0.006003 Epoch[001] Batch [2749]/[3760] Speed: 91.333079 samples/sec accuracy=2.971591 loss=5.370018 lr=0.006042 Epoch[001] Batch [2799]/[3760] Speed: 92.389549 samples/sec accuracy=2.986607 loss=5.367649 lr=0.006081 Epoch[001] Batch [2849]/[3760] Speed: 91.614608 samples/sec accuracy=3.012610 loss=5.364859 lr=0.006119 Epoch[001] Batch [2899]/[3760] Speed: 93.168040 samples/sec accuracy=3.037177 loss=5.362283 lr=0.006158 Epoch[001] Batch [2949]/[3760] Speed: 92.094231 samples/sec accuracy=3.052436 loss=5.360009 lr=0.006197 Epoch[001] Batch [2999]/[3760] Speed: 93.130325 samples/sec accuracy=3.063542 loss=5.357491 lr=0.006236 Epoch[001] Batch [3049]/[3760] Speed: 92.281462 samples/sec accuracy=3.079406 loss=5.355431 lr=0.006274 Epoch[001] Batch [3099]/[3760] Speed: 93.341466 samples/sec accuracy=3.101815 loss=5.353103 lr=0.006313 Epoch[001] Batch [3149]/[3760] Speed: 92.292215 samples/sec accuracy=3.111111 loss=5.351248 lr=0.006352 Epoch[001] Batch [3199]/[3760] Speed: 92.794481 samples/sec accuracy=3.125488 loss=5.348992 lr=0.006391 Epoch[001] Batch [3249]/[3760] Speed: 91.722332 samples/sec accuracy=3.143750 loss=5.346682 lr=0.006429 Epoch[001] Batch [3299]/[3760] Speed: 93.412765 samples/sec accuracy=3.161458 loss=5.344381 lr=0.006468 Epoch[001] Batch [3349]/[3760] Speed: 91.589719 samples/sec accuracy=3.175373 loss=5.342189 lr=0.006507 Epoch[001] Batch [3399]/[3760] Speed: 92.533268 samples/sec accuracy=3.205423 loss=5.338813 lr=0.006545 Epoch[001] Batch [3449]/[3760] Speed: 92.330665 samples/sec accuracy=3.223732 loss=5.336425 lr=0.006584 Epoch[001] Batch [3499]/[3760] Speed: 91.746821 samples/sec accuracy=3.235714 loss=5.334314 lr=0.006623 Epoch[001] Batch [3549]/[3760] Speed: 93.118406 samples/sec accuracy=3.252641 loss=5.331776 lr=0.006662 Epoch[001] Batch [3599]/[3760] Speed: 92.681329 samples/sec accuracy=3.269965 loss=5.329483 lr=0.006700 Epoch[001] Batch [3649]/[3760] Speed: 92.318364 samples/sec accuracy=3.276113 loss=5.327411 lr=0.006739 Epoch[001] Batch [3699]/[3760] Speed: 92.531048 samples/sec accuracy=3.292230 loss=5.325570 lr=0.006778 Epoch[001] Batch [3749]/[3760] Speed: 107.410760 samples/sec accuracy=3.307917 loss=5.323188 lr=0.006817 Batch [0049]/[0303]: acc-top1=2.156250 acc-top5=8.312500 Batch [0099]/[0303]: acc-top1=2.843750 acc-top5=8.656250 Batch [0149]/[0303]: acc-top1=3.541667 acc-top5=11.520833 Batch [0199]/[0303]: acc-top1=4.156250 acc-top5=12.351562 Batch [0249]/[0303]: acc-top1=4.412500 acc-top5=13.181250 Batch [0299]/[0303]: acc-top1=4.244792 acc-top5=13.250000 [Epoch 001] training: accuracy=3.314910 loss=5.322617 [Epoch 001] speed: 91 samples/sec time cost: 2820.754573 [Epoch 001] validation: acc-top1=4.244018 acc-top5=13.278672 loss=9.038093 Epoch[002] Batch [0049]/[3759] Speed: 64.035323 samples/sec accuracy=4.062500 loss=5.157883 lr=0.006863 Epoch[002] Batch [0099]/[3759] Speed: 90.177390 samples/sec accuracy=4.125000 loss=5.136146 lr=0.006902 Epoch[002] Batch [0149]/[3759] Speed: 93.251534 samples/sec accuracy=4.281250 loss=5.146889 lr=0.006941 Epoch[002] Batch [0199]/[3759] Speed: 92.032692 samples/sec accuracy=4.421875 loss=5.145638 lr=0.006979 Epoch[002] Batch [0249]/[3759] Speed: 92.537739 samples/sec accuracy=4.450000 loss=5.140670 lr=0.007018 Epoch[002] Batch [0299]/[3759] Speed: 92.964516 samples/sec accuracy=4.463542 loss=5.139616 lr=0.007057 Epoch[002] Batch [0349]/[3759] Speed: 90.569950 samples/sec accuracy=4.500000 loss=5.142339 lr=0.007095 Epoch[002] Batch [0399]/[3759] Speed: 92.817623 samples/sec accuracy=4.570312 loss=5.141907 lr=0.007134 Epoch[002] Batch [0449]/[3759] Speed: 92.020009 samples/sec accuracy=4.625000 loss=5.140248 lr=0.007173 Epoch[002] Batch [0499]/[3759] Speed: 91.479153 samples/sec accuracy=4.684375 loss=5.138211 lr=0.007212 Epoch[002] Batch [0549]/[3759] Speed: 92.101441 samples/sec accuracy=4.656250 loss=5.140413 lr=0.007250 Epoch[002] Batch [0599]/[3759] Speed: 92.752243 samples/sec accuracy=4.609375 loss=5.138606 lr=0.007289 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accuracy=4.622159 loss=5.127976 lr=0.007676 Epoch[002] Batch [1149]/[3759] Speed: 92.688988 samples/sec accuracy=4.630435 loss=5.128333 lr=0.007715 Epoch[002] Batch [1199]/[3759] Speed: 91.116527 samples/sec accuracy=4.654948 loss=5.126965 lr=0.007754 Epoch[002] Batch [1249]/[3759] Speed: 92.439723 samples/sec accuracy=4.665000 loss=5.126747 lr=0.007793 Epoch[002] Batch [1299]/[3759] Speed: 91.180262 samples/sec accuracy=4.691106 loss=5.125046 lr=0.007831 Epoch[002] Batch [1349]/[3759] Speed: 92.828891 samples/sec accuracy=4.710648 loss=5.123879 lr=0.007870 Epoch[002] Batch [1399]/[3759] Speed: 91.356654 samples/sec accuracy=4.757812 loss=5.122124 lr=0.007909 Epoch[002] Batch [1449]/[3759] Speed: 92.483666 samples/sec accuracy=4.788793 loss=5.120518 lr=0.007948 Epoch[002] Batch [1499]/[3759] Speed: 91.412757 samples/sec accuracy=4.823958 loss=5.116712 lr=0.007986 Epoch[002] Batch [1549]/[3759] Speed: 92.200791 samples/sec accuracy=4.840726 loss=5.114034 lr=0.008025 Epoch[002] Batch 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lr=0.009148 Epoch[002] Batch [3049]/[3759] Speed: 91.705054 samples/sec accuracy=5.134221 loss=5.075579 lr=0.009187 Epoch[002] Batch [3099]/[3759] Speed: 92.068503 samples/sec accuracy=5.154234 loss=5.074232 lr=0.009226 Epoch[002] Batch [3149]/[3759] Speed: 93.078945 samples/sec accuracy=5.163690 loss=5.073410 lr=0.009264 Epoch[002] Batch [3199]/[3759] Speed: 91.649944 samples/sec accuracy=5.183594 loss=5.071283 lr=0.009303 Epoch[002] Batch [3249]/[3759] Speed: 93.084946 samples/sec accuracy=5.197596 loss=5.069827 lr=0.009342 Epoch[002] Batch [3299]/[3759] Speed: 91.392152 samples/sec accuracy=5.211174 loss=5.068361 lr=0.009381 Epoch[002] Batch [3349]/[3759] Speed: 92.969289 samples/sec accuracy=5.231343 loss=5.066617 lr=0.009419 Epoch[002] Batch [3399]/[3759] Speed: 92.159951 samples/sec accuracy=5.240809 loss=5.065134 lr=0.009458 Epoch[002] Batch [3449]/[3759] Speed: 91.652477 samples/sec accuracy=5.244565 loss=5.064222 lr=0.009497 Epoch[002] Batch [3499]/[3759] Speed: 92.723952 samples/sec accuracy=5.258036 loss=5.062551 lr=0.009536 Epoch[002] Batch [3549]/[3759] Speed: 91.472055 samples/sec accuracy=5.270246 loss=5.060787 lr=0.009574 Epoch[002] Batch [3599]/[3759] Speed: 92.350347 samples/sec accuracy=5.280382 loss=5.059819 lr=0.009613 Epoch[002] Batch [3649]/[3759] Speed: 91.298911 samples/sec accuracy=5.290240 loss=5.058763 lr=0.009652 Epoch[002] Batch [3699]/[3759] Speed: 92.880019 samples/sec accuracy=5.293919 loss=5.058147 lr=0.009690 Epoch[002] Batch [3749]/[3759] Speed: 107.528989 samples/sec accuracy=5.302083 loss=5.057348 lr=0.009729 Batch [0049]/[0303]: acc-top1=3.593750 acc-top5=17.281250 Batch [0099]/[0303]: acc-top1=4.546875 acc-top5=16.046875 Batch [0149]/[0303]: acc-top1=5.718750 acc-top5=18.135417 Batch [0199]/[0303]: acc-top1=6.875000 acc-top5=18.984375 Batch [0249]/[0303]: acc-top1=6.800000 acc-top5=18.918750 Batch [0299]/[0303]: acc-top1=6.406250 acc-top5=18.828125 [Epoch 002] training: accuracy=5.305184 loss=5.057039 [Epoch 002] speed: 91 samples/sec time cost: 2820.760279 [Epoch 002] validation: acc-top1=6.394389 acc-top5=18.801568 loss=5.104846 Epoch[003] Batch [0049]/[3760] Speed: 64.389949 samples/sec accuracy=7.156250 loss=4.912973 lr=0.009775 Epoch[003] Batch [0099]/[3760] Speed: 91.651885 samples/sec accuracy=6.828125 loss=4.909332 lr=0.009814 Epoch[003] Batch [0149]/[3760] Speed: 93.513130 samples/sec accuracy=6.531250 loss=4.918144 lr=0.009852 Epoch[003] Batch [0199]/[3760] Speed: 91.107263 samples/sec accuracy=6.609375 loss=4.913975 lr=0.009891 Epoch[003] Batch [0249]/[3760] Speed: 92.292486 samples/sec accuracy=6.631250 loss=4.917147 lr=0.009930 Epoch[003] Batch [0299]/[3760] Speed: 91.569009 samples/sec accuracy=6.510417 loss=4.918588 lr=0.009969 Epoch[003] Batch [0349]/[3760] Speed: 92.101880 samples/sec accuracy=6.491071 loss=4.918291 lr=0.010007 Epoch[003] Batch [0399]/[3760] Speed: 92.560112 samples/sec accuracy=6.472656 loss=4.911586 lr=0.010046 Epoch[003] Batch [0449]/[3760] Speed: 91.276489 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Epoch[003] Batch [0949]/[3760] Speed: 91.328455 samples/sec accuracy=6.491776 loss=4.913971 lr=0.010472 Epoch[003] Batch [0999]/[3760] Speed: 93.151862 samples/sec accuracy=6.501562 loss=4.913967 lr=0.010511 Epoch[003] Batch [1049]/[3760] Speed: 92.636974 samples/sec accuracy=6.507440 loss=4.911751 lr=0.010549 Epoch[003] Batch [1099]/[3760] Speed: 92.220654 samples/sec accuracy=6.512784 loss=4.909785 lr=0.010588 Epoch[003] Batch [1149]/[3760] Speed: 93.060303 samples/sec accuracy=6.512228 loss=4.909118 lr=0.010627 Epoch[003] Batch [1199]/[3760] Speed: 92.897770 samples/sec accuracy=6.532552 loss=4.908583 lr=0.010666 Epoch[003] Batch [1249]/[3760] Speed: 91.851616 samples/sec accuracy=6.590000 loss=4.904902 lr=0.010704 Epoch[003] Batch [1299]/[3760] Speed: 92.169957 samples/sec accuracy=6.593750 loss=4.904829 lr=0.010743 Epoch[003] Batch [1349]/[3760] Speed: 92.170654 samples/sec accuracy=6.625000 loss=4.902420 lr=0.010782 Epoch[003] Batch [1399]/[3760] Speed: 92.557148 samples/sec accuracy=6.626116 loss=4.899836 lr=0.010821 Epoch[003] Batch [1449]/[3760] Speed: 91.459314 samples/sec accuracy=6.616379 loss=4.898747 lr=0.010859 Epoch[003] Batch [1499]/[3760] Speed: 93.549314 samples/sec accuracy=6.653125 loss=4.895741 lr=0.010898 Epoch[003] Batch [1549]/[3760] Speed: 91.930873 samples/sec accuracy=6.660282 loss=4.893826 lr=0.010937 Epoch[003] Batch [1599]/[3760] Speed: 92.567631 samples/sec accuracy=6.691406 loss=4.891080 lr=0.010976 Epoch[003] Batch [1649]/[3760] Speed: 91.231500 samples/sec accuracy=6.719697 loss=4.888711 lr=0.011014 Epoch[003] Batch [1699]/[3760] Speed: 92.139728 samples/sec accuracy=6.741728 loss=4.885175 lr=0.011053 Epoch[003] Batch [1749]/[3760] Speed: 92.934543 samples/sec accuracy=6.760714 loss=4.882705 lr=0.011092 Epoch[003] Batch [1799]/[3760] Speed: 91.943492 samples/sec accuracy=6.774306 loss=4.881924 lr=0.011130 Epoch[003] Batch [1849]/[3760] Speed: 91.416144 samples/sec accuracy=6.790541 loss=4.881270 lr=0.011169 Epoch[003] Batch 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loss=4.858652 lr=0.011556 Epoch[003] Batch [2399]/[3760] Speed: 92.702155 samples/sec accuracy=7.069661 loss=4.856059 lr=0.011595 Epoch[003] Batch [2449]/[3760] Speed: 91.637754 samples/sec accuracy=7.107143 loss=4.853955 lr=0.011634 Epoch[003] Batch [2499]/[3760] Speed: 93.651872 samples/sec accuracy=7.120625 loss=4.852456 lr=0.011673 Epoch[003] Batch [2549]/[3760] Speed: 92.002976 samples/sec accuracy=7.120711 loss=4.851650 lr=0.011711 Epoch[003] Batch [2599]/[3760] Speed: 92.724856 samples/sec accuracy=7.138822 loss=4.849663 lr=0.011750 Epoch[003] Batch [2649]/[3760] Speed: 92.178891 samples/sec accuracy=7.148585 loss=4.848094 lr=0.011789 Epoch[003] Batch [2699]/[3760] Speed: 92.702463 samples/sec accuracy=7.165509 loss=4.846219 lr=0.011828 Epoch[003] Batch [2749]/[3760] Speed: 91.737210 samples/sec accuracy=7.180114 loss=4.844720 lr=0.011866 Epoch[003] Batch [2799]/[3760] Speed: 94.124521 samples/sec accuracy=7.195313 loss=4.844800 lr=0.011905 Epoch[003] Batch [2849]/[3760] Speed: 91.726057 samples/sec accuracy=7.213816 loss=4.843164 lr=0.011944 Epoch[003] Batch [2899]/[3760] Speed: 93.239308 samples/sec accuracy=7.211207 loss=4.842401 lr=0.011983 Epoch[003] Batch [2949]/[3760] Speed: 92.531850 samples/sec accuracy=7.217691 loss=4.842645 lr=0.012021 Epoch[003] Batch [2999]/[3760] Speed: 92.259678 samples/sec accuracy=7.230729 loss=4.842375 lr=0.012060 Epoch[003] Batch [3049]/[3760] Speed: 92.652934 samples/sec accuracy=7.237705 loss=4.841471 lr=0.012099 Epoch[003] Batch [3099]/[3760] Speed: 92.614375 samples/sec accuracy=7.260081 loss=4.840225 lr=0.012137 Epoch[003] Batch [3149]/[3760] Speed: 92.203821 samples/sec accuracy=7.279266 loss=4.839084 lr=0.012176 Epoch[003] Batch [3199]/[3760] Speed: 92.006424 samples/sec accuracy=7.289551 loss=4.837777 lr=0.012215 Epoch[003] Batch [3249]/[3760] Speed: 92.795906 samples/sec accuracy=7.301442 loss=4.837147 lr=0.012254 Epoch[003] Batch [3299]/[3760] Speed: 92.393538 samples/sec accuracy=7.325758 loss=4.835655 lr=0.012292 Epoch[003] Batch [3349]/[3760] Speed: 91.844856 samples/sec accuracy=7.338619 loss=4.834559 lr=0.012331 Epoch[003] Batch [3399]/[3760] Speed: 92.602226 samples/sec accuracy=7.355239 loss=4.833795 lr=0.012370 Epoch[003] Batch [3449]/[3760] Speed: 91.660291 samples/sec accuracy=7.349185 loss=4.832951 lr=0.012409 Epoch[003] Batch [3499]/[3760] Speed: 91.673502 samples/sec accuracy=7.348661 loss=4.832083 lr=0.012447 Epoch[003] Batch [3549]/[3760] Speed: 92.305976 samples/sec accuracy=7.353873 loss=4.832118 lr=0.012486 Epoch[003] Batch [3599]/[3760] Speed: 92.329040 samples/sec accuracy=7.372396 loss=4.831326 lr=0.012525 Epoch[003] Batch [3649]/[3760] Speed: 92.267074 samples/sec accuracy=7.373716 loss=4.830260 lr=0.012563 Epoch[003] Batch [3699]/[3760] Speed: 91.894344 samples/sec accuracy=7.396115 loss=4.828525 lr=0.012602 Epoch[003] Batch [3749]/[3760] Speed: 107.052488 samples/sec accuracy=7.409583 loss=4.826770 lr=0.012641 Batch [0049]/[0303]: acc-top1=4.406250 acc-top5=18.062500 Batch [0099]/[0303]: acc-top1=5.390625 acc-top5=18.937500 Batch [0149]/[0303]: acc-top1=7.312500 acc-top5=21.812500 Batch [0199]/[0303]: acc-top1=8.742188 acc-top5=23.890625 Batch [0249]/[0303]: acc-top1=8.818750 acc-top5=23.962500 Batch [0299]/[0303]: acc-top1=8.453125 acc-top5=23.791667 [Epoch 003] training: accuracy=7.410239 loss=4.826691 [Epoch 003] speed: 91 samples/sec time cost: 2817.892084 [Epoch 003] validation: acc-top1=8.498350 acc-top5=23.834571 loss=4.689580 Epoch[004] Batch [0049]/[3760] Speed: 63.823145 samples/sec accuracy=7.593750 loss=4.710267 lr=0.012687 Epoch[004] Batch [0099]/[3760] Speed: 90.992735 samples/sec accuracy=7.984375 loss=4.705958 lr=0.012726 Epoch[004] Batch [0149]/[3760] Speed: 92.700640 samples/sec accuracy=8.229167 loss=4.696685 lr=0.012765 Epoch[004] Batch [0199]/[3760] Speed: 92.152593 samples/sec accuracy=8.265625 loss=4.694988 lr=0.012804 Epoch[004] Batch [0249]/[3760] Speed: 92.467250 samples/sec accuracy=8.406250 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loss=4.650462 lr=0.015437 Epoch[004] Batch [3649]/[3760] Speed: 92.159709 samples/sec accuracy=9.148116 loss=4.649613 lr=0.015476 Epoch[004] Batch [3699]/[3760] Speed: 93.330469 samples/sec accuracy=9.163007 loss=4.649135 lr=0.015515 Epoch[004] Batch [3749]/[3760] Speed: 106.515187 samples/sec accuracy=9.165833 loss=4.648699 lr=0.015554 Batch [0049]/[0303]: acc-top1=5.718750 acc-top5=20.687500 Batch [0099]/[0303]: acc-top1=6.062500 acc-top5=19.531250 Batch [0149]/[0303]: acc-top1=7.479167 acc-top5=22.572917 Batch [0199]/[0303]: acc-top1=9.039062 acc-top5=24.414062 Batch [0249]/[0303]: acc-top1=9.368750 acc-top5=25.018750 Batch [0299]/[0303]: acc-top1=8.916667 acc-top5=24.937500 [Epoch 004] training: accuracy=9.168883 loss=4.648638 [Epoch 004] speed: 92 samples/sec time cost: 2812.678541 [Epoch 004] validation: acc-top1=8.993399 acc-top5=25.025784 loss=6.483884 Epoch[005] Batch [0049]/[3759] Speed: 64.516056 samples/sec accuracy=10.375000 loss=4.569499 lr=0.015600 Epoch[005] Batch 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accuracy=10.573864 loss=4.535392 lr=0.015987 Epoch[005] Batch [0599]/[3759] Speed: 92.195966 samples/sec accuracy=10.523438 loss=4.535843 lr=0.016026 Epoch[005] Batch [0649]/[3759] Speed: 92.176740 samples/sec accuracy=10.473558 loss=4.533238 lr=0.016065 Epoch[005] Batch [0699]/[3759] Speed: 93.576415 samples/sec accuracy=10.506696 loss=4.530865 lr=0.016103 Epoch[005] Batch [0749]/[3759] Speed: 92.678604 samples/sec accuracy=10.537500 loss=4.528979 lr=0.016142 Epoch[005] Batch [0799]/[3759] Speed: 93.626868 samples/sec accuracy=10.525391 loss=4.530410 lr=0.016181 Epoch[005] Batch [0849]/[3759] Speed: 92.642667 samples/sec accuracy=10.562500 loss=4.532014 lr=0.016220 Epoch[005] Batch [0899]/[3759] Speed: 93.300853 samples/sec accuracy=10.522569 loss=4.530614 lr=0.016258 Epoch[005] Batch [0949]/[3759] Speed: 93.351264 samples/sec accuracy=10.534539 loss=4.527218 lr=0.016297 Epoch[005] Batch [0999]/[3759] Speed: 91.705274 samples/sec accuracy=10.579688 loss=4.525146 lr=0.016336 Epoch[005] 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accuracy=10.704167 loss=4.510183 lr=0.016723 Epoch[005] Batch [1549]/[3759] Speed: 92.274745 samples/sec accuracy=10.705645 loss=4.509561 lr=0.016762 Epoch[005] Batch [1599]/[3759] Speed: 92.685193 samples/sec accuracy=10.698242 loss=4.509503 lr=0.016801 Epoch[005] Batch [1649]/[3759] Speed: 92.237582 samples/sec accuracy=10.718750 loss=4.505999 lr=0.016839 Epoch[005] Batch [1699]/[3759] Speed: 92.523834 samples/sec accuracy=10.723346 loss=4.505947 lr=0.016878 Epoch[005] Batch [1749]/[3759] Speed: 92.217416 samples/sec accuracy=10.757143 loss=4.504592 lr=0.016917 Epoch[005] Batch [1799]/[3759] Speed: 92.949708 samples/sec accuracy=10.762153 loss=4.502645 lr=0.016956 Epoch[005] Batch [1849]/[3759] Speed: 92.057463 samples/sec accuracy=10.788851 loss=4.500210 lr=0.016994 Epoch[005] Batch [1899]/[3759] Speed: 92.950222 samples/sec accuracy=10.816612 loss=4.498275 lr=0.017033 Epoch[005] Batch [1949]/[3759] Speed: 92.580362 samples/sec accuracy=10.820513 loss=4.497942 lr=0.017072 Epoch[005] 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accuracy=10.750000 loss=4.507921 lr=0.017459 Epoch[005] Batch [2499]/[3759] Speed: 91.996419 samples/sec accuracy=10.765625 loss=4.508234 lr=0.017498 Epoch[005] Batch [2549]/[3759] Speed: 92.577723 samples/sec accuracy=10.778799 loss=4.509307 lr=0.017537 Epoch[005] Batch [2599]/[3759] Speed: 93.945909 samples/sec accuracy=10.789663 loss=4.509029 lr=0.017575 Epoch[005] Batch [2649]/[3759] Speed: 92.559118 samples/sec accuracy=10.791863 loss=4.508437 lr=0.017614 Epoch[005] Batch [2699]/[3759] Speed: 94.249051 samples/sec accuracy=10.782407 loss=4.508784 lr=0.017653 Epoch[005] Batch [2749]/[3759] Speed: 92.540297 samples/sec accuracy=10.780682 loss=4.508331 lr=0.017691 Epoch[005] Batch [2799]/[3759] Speed: 93.878452 samples/sec accuracy=10.787946 loss=4.507271 lr=0.017730 Epoch[005] Batch [2849]/[3759] Speed: 93.199871 samples/sec accuracy=10.790570 loss=4.506531 lr=0.017769 Epoch[005] Batch [2899]/[3759] Speed: 91.749871 samples/sec accuracy=10.791487 loss=4.506120 lr=0.017808 Epoch[005] 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accuracy=10.873162 loss=4.499586 lr=0.018195 Epoch[005] Batch [3449]/[3759] Speed: 92.086861 samples/sec accuracy=10.882699 loss=4.498424 lr=0.018234 Epoch[005] Batch [3499]/[3759] Speed: 93.514396 samples/sec accuracy=10.885268 loss=4.497702 lr=0.018272 Epoch[005] Batch [3549]/[3759] Speed: 92.967774 samples/sec accuracy=10.894806 loss=4.496818 lr=0.018311 Epoch[005] Batch [3599]/[3759] Speed: 93.459544 samples/sec accuracy=10.913194 loss=4.495708 lr=0.018350 Epoch[005] Batch [3649]/[3759] Speed: 92.527708 samples/sec accuracy=10.931507 loss=4.493859 lr=0.018389 Epoch[005] Batch [3699]/[3759] Speed: 93.286486 samples/sec accuracy=10.953125 loss=4.492093 lr=0.018427 Epoch[005] Batch [3749]/[3759] Speed: 107.508341 samples/sec accuracy=10.969167 loss=4.490274 lr=0.018466 Batch [0049]/[0303]: acc-top1=10.000000 acc-top5=29.406250 Batch [0099]/[0303]: acc-top1=10.828125 acc-top5=29.328125 Batch [0149]/[0303]: acc-top1=11.697917 acc-top5=30.447917 Batch [0199]/[0303]: acc-top1=13.125000 acc-top5=31.359375 Batch [0249]/[0303]: acc-top1=12.981250 acc-top5=31.275000 Batch [0299]/[0303]: acc-top1=12.916667 acc-top5=31.651042 [Epoch 005] training: accuracy=10.973663 loss=4.490171 [Epoch 005] speed: 92 samples/sec time cost: 2802.815864 [Epoch 005] validation: acc-top1=12.902228 acc-top5=31.610974 loss=4.494251 Epoch[006] Batch [0049]/[3760] Speed: 65.178169 samples/sec accuracy=11.875000 loss=4.317192 lr=0.018512 Epoch[006] Batch [0099]/[3760] Speed: 92.071235 samples/sec accuracy=12.281250 loss=4.347211 lr=0.018551 Epoch[006] Batch [0149]/[3760] Speed: 93.877817 samples/sec accuracy=12.458333 loss=4.332269 lr=0.018589 Epoch[006] Batch [0199]/[3760] Speed: 92.977008 samples/sec accuracy=12.304688 loss=4.346111 lr=0.018628 Epoch[006] Batch [0249]/[3760] Speed: 91.631774 samples/sec accuracy=12.362500 loss=4.346630 lr=0.018667 Epoch[006] Batch [0299]/[3760] Speed: 94.045601 samples/sec accuracy=12.463542 loss=4.342506 lr=0.018705 Epoch[006] Batch [0349]/[3760] Speed: 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lr=0.021300 Epoch[006] Batch [3699]/[3760] Speed: 93.565595 samples/sec accuracy=13.557432 loss=4.270750 lr=0.021339 Epoch[006] Batch [3749]/[3760] Speed: 106.163642 samples/sec accuracy=13.557083 loss=4.270612 lr=0.021378 Batch [0049]/[0303]: acc-top1=11.062500 acc-top5=31.000000 Batch [0099]/[0303]: acc-top1=11.484375 acc-top5=29.906250 Batch [0149]/[0303]: acc-top1=13.343750 acc-top5=32.197917 Batch [0199]/[0303]: acc-top1=14.882812 acc-top5=34.062500 Batch [0249]/[0303]: acc-top1=15.006250 acc-top5=34.675000 Batch [0299]/[0303]: acc-top1=14.619792 acc-top5=34.750000 [Epoch 006] training: accuracy=13.557181 loss=4.270409 [Epoch 006] speed: 92 samples/sec time cost: 2796.451251 [Epoch 006] validation: acc-top1=14.629744 acc-top5=34.705033 loss=4.415327 Epoch[007] Batch [0049]/[3760] Speed: 64.224948 samples/sec accuracy=14.500000 loss=4.239504 lr=0.021424 Epoch[007] Batch [0099]/[3760] Speed: 92.367418 samples/sec accuracy=14.312500 loss=4.219854 lr=0.021463 Epoch[007] Batch 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accuracy=14.543347 loss=4.202016 lr=0.022586 Epoch[007] Batch [1599]/[3760] Speed: 93.338659 samples/sec accuracy=14.543945 loss=4.200069 lr=0.022625 Epoch[007] Batch [1649]/[3760] Speed: 92.001537 samples/sec accuracy=14.563447 loss=4.197462 lr=0.022664 Epoch[007] Batch [1699]/[3760] Speed: 93.511106 samples/sec accuracy=14.580882 loss=4.195877 lr=0.022702 Epoch[007] Batch [1749]/[3760] Speed: 92.346441 samples/sec accuracy=14.627679 loss=4.194611 lr=0.022741 Epoch[007] Batch [1799]/[3760] Speed: 93.668659 samples/sec accuracy=14.637153 loss=4.191689 lr=0.022780 Epoch[007] Batch [1849]/[3760] Speed: 92.570774 samples/sec accuracy=14.630912 loss=4.191272 lr=0.022819 Epoch[007] Batch [1899]/[3760] Speed: 92.635475 samples/sec accuracy=14.630757 loss=4.189727 lr=0.022857 Epoch[007] Batch [1949]/[3760] Speed: 94.510191 samples/sec accuracy=14.670673 loss=4.187456 lr=0.022896 Epoch[007] Batch [1999]/[3760] Speed: 93.354726 samples/sec accuracy=14.710156 loss=4.185059 lr=0.022935 Epoch[007] 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accuracy=15.259511 loss=4.151728 lr=0.024058 Epoch[007] Batch [3499]/[3760] Speed: 92.086464 samples/sec accuracy=15.277232 loss=4.149830 lr=0.024097 Epoch[007] Batch [3549]/[3760] Speed: 92.373607 samples/sec accuracy=15.299296 loss=4.148004 lr=0.024136 Epoch[007] Batch [3599]/[3760] Speed: 94.063332 samples/sec accuracy=15.305990 loss=4.147626 lr=0.024174 Epoch[007] Batch [3649]/[3760] Speed: 93.163685 samples/sec accuracy=15.316781 loss=4.146942 lr=0.024213 Epoch[007] Batch [3699]/[3760] Speed: 94.177508 samples/sec accuracy=15.321791 loss=4.145577 lr=0.024252 Epoch[007] Batch [3749]/[3760] Speed: 108.188860 samples/sec accuracy=15.337917 loss=4.144624 lr=0.024290 Batch [0049]/[0303]: acc-top1=16.062500 acc-top5=38.593750 Batch [0099]/[0303]: acc-top1=16.578125 acc-top5=36.625000 Batch [0149]/[0303]: acc-top1=16.718750 acc-top5=37.458333 Batch [0199]/[0303]: acc-top1=18.046875 acc-top5=39.156250 Batch [0249]/[0303]: acc-top1=17.656250 acc-top5=39.293750 Batch [0299]/[0303]: acc-top1=16.885417 acc-top5=38.911458 [Epoch 007] training: accuracy=15.342836 loss=4.144461 [Epoch 007] speed: 92 samples/sec time cost: 2794.091902 [Epoch 007] validation: acc-top1=16.924505 acc-top5=38.907797 loss=4.348238 Epoch[008] Batch [0049]/[3759] Speed: 64.684248 samples/sec accuracy=16.625000 loss=4.050239 lr=0.024337 Epoch[008] Batch [0099]/[3759] Speed: 93.337532 samples/sec accuracy=16.750000 loss=4.029850 lr=0.024376 Epoch[008] Batch [0149]/[3759] Speed: 94.316629 samples/sec accuracy=16.520833 loss=4.021958 lr=0.024414 Epoch[008] Batch [0199]/[3759] Speed: 93.615674 samples/sec accuracy=16.476562 loss=4.031322 lr=0.024453 Epoch[008] Batch [0249]/[3759] Speed: 92.732011 samples/sec accuracy=16.618750 loss=4.019962 lr=0.024492 Epoch[008] Batch [0299]/[3759] Speed: 93.854226 samples/sec accuracy=16.718750 loss=4.018697 lr=0.024531 Epoch[008] Batch [0349]/[3759] Speed: 92.377087 samples/sec accuracy=16.625000 loss=4.019872 lr=0.024569 Epoch[008] Batch [0399]/[3759] Speed: 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lr=0.026428 Epoch[008] Batch [2799]/[3759] Speed: 93.730101 samples/sec accuracy=16.861607 loss=4.020668 lr=0.026467 Epoch[008] Batch [2849]/[3759] Speed: 93.624329 samples/sec accuracy=16.876645 loss=4.020875 lr=0.026506 Epoch[008] Batch [2899]/[3759] Speed: 95.055266 samples/sec accuracy=16.892241 loss=4.020644 lr=0.026545 Epoch[008] Batch [2949]/[3759] Speed: 94.320206 samples/sec accuracy=16.894597 loss=4.019618 lr=0.026583 Epoch[008] Batch [2999]/[3759] Speed: 92.775425 samples/sec accuracy=16.921354 loss=4.018395 lr=0.026622 Epoch[008] Batch [3049]/[3759] Speed: 94.332831 samples/sec accuracy=16.922643 loss=4.018054 lr=0.026661 Epoch[008] Batch [3099]/[3759] Speed: 93.172486 samples/sec accuracy=16.926411 loss=4.018187 lr=0.026699 Epoch[008] Batch [3149]/[3759] Speed: 93.881492 samples/sec accuracy=16.938988 loss=4.017193 lr=0.026738 Epoch[008] Batch [3199]/[3759] Speed: 93.518490 samples/sec accuracy=16.960449 loss=4.016343 lr=0.026777 Epoch[008] Batch [3249]/[3759] Speed: 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lr=0.027164 Epoch[008] Batch [3749]/[3759] Speed: 107.905574 samples/sec accuracy=17.097500 loss=4.006405 lr=0.027203 Batch [0049]/[0303]: acc-top1=17.593750 acc-top5=41.000000 Batch [0099]/[0303]: acc-top1=17.890625 acc-top5=39.375000 Batch [0149]/[0303]: acc-top1=18.885417 acc-top5=40.843750 Batch [0199]/[0303]: acc-top1=20.343750 acc-top5=42.531250 Batch [0249]/[0303]: acc-top1=20.225000 acc-top5=42.650000 Batch [0299]/[0303]: acc-top1=19.583333 acc-top5=42.338542 [Epoch 008] training: accuracy=17.096884 loss=4.006406 [Epoch 008] speed: 93 samples/sec time cost: 2783.538296 [Epoch 008] validation: acc-top1=19.626650 acc-top5=42.337046 loss=3.881723 Epoch[009] Batch [0049]/[3760] Speed: 64.558400 samples/sec accuracy=18.687500 loss=3.842087 lr=0.027249 Epoch[009] Batch [0099]/[3760] Speed: 91.820965 samples/sec accuracy=18.953125 loss=3.848563 lr=0.027287 Epoch[009] Batch [0149]/[3760] Speed: 94.459601 samples/sec accuracy=18.625000 loss=3.856938 lr=0.027326 Epoch[009] Batch 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accuracy=18.454327 loss=3.904711 lr=0.027713 Epoch[009] Batch [0699]/[3760] Speed: 93.255214 samples/sec accuracy=18.406250 loss=3.908815 lr=0.027752 Epoch[009] Batch [0749]/[3760] Speed: 94.086401 samples/sec accuracy=18.377083 loss=3.910990 lr=0.027791 Epoch[009] Batch [0799]/[3760] Speed: 92.643772 samples/sec accuracy=18.421875 loss=3.909873 lr=0.027830 Epoch[009] Batch [0849]/[3760] Speed: 94.075492 samples/sec accuracy=18.439338 loss=3.905966 lr=0.027868 Epoch[009] Batch [0899]/[3760] Speed: 94.476414 samples/sec accuracy=18.359375 loss=3.909918 lr=0.027907 Epoch[009] Batch [0949]/[3760] Speed: 93.273442 samples/sec accuracy=18.406250 loss=3.910368 lr=0.027946 Epoch[009] Batch [0999]/[3760] Speed: 93.546670 samples/sec accuracy=18.351562 loss=3.911900 lr=0.027985 Epoch[009] Batch [1049]/[3760] Speed: 95.430061 samples/sec accuracy=18.453869 loss=3.905226 lr=0.028023 Epoch[009] Batch [1099]/[3760] Speed: 93.739595 samples/sec accuracy=18.522727 loss=3.904521 lr=0.028062 Epoch[009] 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accuracy=18.602539 loss=3.898435 lr=0.028449 Epoch[009] Batch [1649]/[3760] Speed: 94.160992 samples/sec accuracy=18.636364 loss=3.895474 lr=0.028488 Epoch[009] Batch [1699]/[3760] Speed: 94.192784 samples/sec accuracy=18.696691 loss=3.893738 lr=0.028527 Epoch[009] Batch [1749]/[3760] Speed: 94.205448 samples/sec accuracy=18.686607 loss=3.895052 lr=0.028566 Epoch[009] Batch [1799]/[3760] Speed: 93.229985 samples/sec accuracy=18.686632 loss=3.892703 lr=0.028604 Epoch[009] Batch [1849]/[3760] Speed: 93.467838 samples/sec accuracy=18.706926 loss=3.889321 lr=0.028643 Epoch[009] Batch [1899]/[3760] Speed: 94.184457 samples/sec accuracy=18.714638 loss=3.889791 lr=0.028682 Epoch[009] Batch [1949]/[3760] Speed: 93.598158 samples/sec accuracy=18.747596 loss=3.888472 lr=0.028720 Epoch[009] Batch [1999]/[3760] Speed: 94.359203 samples/sec accuracy=18.780469 loss=3.887889 lr=0.028759 Epoch[009] Batch [2049]/[3760] Speed: 93.096791 samples/sec accuracy=18.806402 loss=3.887284 lr=0.028798 Epoch[009] 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accuracy=18.954044 loss=3.876462 lr=0.029185 Epoch[009] Batch [2599]/[3760] Speed: 94.095146 samples/sec accuracy=18.957933 loss=3.874640 lr=0.029224 Epoch[009] Batch [2649]/[3760] Speed: 93.636509 samples/sec accuracy=18.977005 loss=3.872567 lr=0.029263 Epoch[009] Batch [2699]/[3760] Speed: 94.325983 samples/sec accuracy=18.980324 loss=3.871395 lr=0.029301 Epoch[009] Batch [2749]/[3760] Speed: 93.777941 samples/sec accuracy=18.980682 loss=3.871240 lr=0.029340 Epoch[009] Batch [2799]/[3760] Speed: 93.733571 samples/sec accuracy=18.991629 loss=3.869521 lr=0.029379 Epoch[009] Batch [2849]/[3760] Speed: 94.098806 samples/sec accuracy=19.016996 loss=3.868075 lr=0.029418 Epoch[009] Batch [2899]/[3760] Speed: 92.808042 samples/sec accuracy=19.054418 loss=3.866630 lr=0.029456 Epoch[009] Batch [2949]/[3760] Speed: 94.088979 samples/sec accuracy=19.087394 loss=3.865492 lr=0.029495 Epoch[009] Batch [2999]/[3760] Speed: 93.754175 samples/sec accuracy=19.108854 loss=3.864661 lr=0.029534 Epoch[009] Batch [3049]/[3760] Speed: 95.782455 samples/sec accuracy=19.122439 loss=3.862877 lr=0.029573 Epoch[009] Batch [3099]/[3760] Speed: 95.742317 samples/sec accuracy=19.152218 loss=3.861844 lr=0.029611 Epoch[009] Batch [3149]/[3760] Speed: 95.447972 samples/sec accuracy=19.155754 loss=3.861678 lr=0.029650 Epoch[009] Batch [3199]/[3760] Speed: 96.545223 samples/sec accuracy=19.178223 loss=3.860268 lr=0.029689 Epoch[009] Batch [3249]/[3760] Speed: 94.046903 samples/sec accuracy=19.188462 loss=3.859637 lr=0.029727 Epoch[009] Batch [3299]/[3760] Speed: 94.088375 samples/sec accuracy=19.192235 loss=3.860105 lr=0.029766 Epoch[009] Batch [3349]/[3760] Speed: 94.127982 samples/sec accuracy=19.193097 loss=3.859570 lr=0.029805 Epoch[009] Batch [3399]/[3760] Speed: 93.713975 samples/sec accuracy=19.208640 loss=3.858828 lr=0.029844 Epoch[009] Batch [3449]/[3760] Speed: 93.477755 samples/sec accuracy=19.211957 loss=3.858262 lr=0.029882 Epoch[009] Batch [3499]/[3760] Speed: 93.347637 samples/sec accuracy=19.216964 loss=3.858832 lr=0.029921 Epoch[009] Batch [3549]/[3760] Speed: 93.370659 samples/sec accuracy=19.206426 loss=3.858948 lr=0.029960 Epoch[009] Batch [3599]/[3760] Speed: 94.818321 samples/sec accuracy=19.184896 loss=3.859523 lr=0.029999 Epoch[009] Batch [3649]/[3760] Speed: 95.036730 samples/sec accuracy=19.199058 loss=3.859357 lr=0.030037 Epoch[009] Batch [3699]/[3760] Speed: 96.091240 samples/sec accuracy=19.195524 loss=3.859462 lr=0.030076 Epoch[009] Batch [3749]/[3760] Speed: 107.491395 samples/sec accuracy=19.220000 loss=3.858574 lr=0.030115 Batch [0049]/[0303]: acc-top1=15.968750 acc-top5=38.437500 Batch [0099]/[0303]: acc-top1=16.281250 acc-top5=37.718750 Batch [0149]/[0303]: acc-top1=17.375000 acc-top5=38.718750 Batch [0199]/[0303]: acc-top1=19.093750 acc-top5=40.703125 Batch [0249]/[0303]: acc-top1=19.062500 acc-top5=41.118750 Batch [0299]/[0303]: acc-top1=18.598958 acc-top5=40.953125 [Epoch 009] training: accuracy=19.223321 loss=3.858545 [Epoch 009] speed: 93 samples/sec time cost: 2768.550698 [Epoch 009] validation: acc-top1=18.646865 acc-top5=40.949876 loss=5.189216 Epoch[010] Batch [0049]/[3760] Speed: 67.336855 samples/sec accuracy=20.281250 loss=3.780477 lr=0.030161 Epoch[010] Batch [0099]/[3760] Speed: 93.804192 samples/sec accuracy=20.484375 loss=3.753942 lr=0.030200 Epoch[010] Batch [0149]/[3760] Speed: 95.449559 samples/sec accuracy=20.083333 loss=3.778101 lr=0.030239 Epoch[010] Batch [0199]/[3760] Speed: 95.478547 samples/sec accuracy=20.296875 loss=3.780442 lr=0.030277 Epoch[010] Batch [0249]/[3760] Speed: 95.859606 samples/sec accuracy=20.081250 loss=3.784207 lr=0.030316 Epoch[010] Batch [0299]/[3760] Speed: 95.060330 samples/sec accuracy=20.140625 loss=3.784865 lr=0.030355 Epoch[010] Batch [0349]/[3760] Speed: 94.907338 samples/sec accuracy=20.254464 loss=3.777873 lr=0.030394 Epoch[010] Batch [0399]/[3760] Speed: 95.499772 samples/sec accuracy=20.078125 loss=3.786137 lr=0.030432 Epoch[010] Batch [0449]/[3760] Speed: 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lr=0.031556 Epoch[010] Batch [1899]/[3760] Speed: 93.451726 samples/sec accuracy=19.552632 loss=3.839601 lr=0.031594 Epoch[010] Batch [1949]/[3760] Speed: 95.264987 samples/sec accuracy=19.526442 loss=3.839413 lr=0.031633 Epoch[010] Batch [1999]/[3760] Speed: 94.954488 samples/sec accuracy=19.549219 loss=3.837825 lr=0.031672 Epoch[010] Batch [2049]/[3760] Speed: 95.239452 samples/sec accuracy=19.554116 loss=3.837598 lr=0.031710 Epoch[010] Batch [2099]/[3760] Speed: 94.763935 samples/sec accuracy=19.567708 loss=3.837575 lr=0.031749 Epoch[010] Batch [2149]/[3760] Speed: 94.492701 samples/sec accuracy=19.635174 loss=3.834282 lr=0.031788 Epoch[010] Batch [2199]/[3760] Speed: 94.112422 samples/sec accuracy=19.688920 loss=3.831364 lr=0.031827 Epoch[010] Batch [2249]/[3760] Speed: 94.732092 samples/sec accuracy=19.710417 loss=3.830763 lr=0.031865 Epoch[010] Batch [2299]/[3760] Speed: 94.189578 samples/sec accuracy=19.728940 loss=3.830735 lr=0.031904 Epoch[010] Batch [2349]/[3760] Speed: 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lr=0.032291 Epoch[010] Batch [2849]/[3760] Speed: 94.336276 samples/sec accuracy=20.010965 loss=3.812468 lr=0.032330 Epoch[010] Batch [2899]/[3760] Speed: 94.163519 samples/sec accuracy=19.993534 loss=3.811877 lr=0.032369 Epoch[010] Batch [2949]/[3760] Speed: 94.871155 samples/sec accuracy=20.002648 loss=3.810637 lr=0.032408 Epoch[010] Batch [2999]/[3760] Speed: 94.046168 samples/sec accuracy=20.025000 loss=3.809102 lr=0.032446 Epoch[010] Batch [3049]/[3760] Speed: 94.413917 samples/sec accuracy=20.050717 loss=3.807670 lr=0.032485 Epoch[010] Batch [3099]/[3760] Speed: 95.085477 samples/sec accuracy=20.056452 loss=3.807067 lr=0.032524 Epoch[010] Batch [3149]/[3760] Speed: 94.715682 samples/sec accuracy=20.067460 loss=3.806149 lr=0.032563 Epoch[010] Batch [3199]/[3760] Speed: 94.049467 samples/sec accuracy=20.086426 loss=3.805126 lr=0.032601 Epoch[010] Batch [3249]/[3760] Speed: 94.713832 samples/sec accuracy=20.108173 loss=3.803882 lr=0.032640 Epoch[010] Batch [3299]/[3760] Speed: 95.421141 samples/sec accuracy=20.116477 loss=3.802561 lr=0.032679 Epoch[010] Batch [3349]/[3760] Speed: 95.157340 samples/sec accuracy=20.143657 loss=3.800696 lr=0.032717 Epoch[010] Batch [3399]/[3760] Speed: 95.925841 samples/sec accuracy=20.174173 loss=3.798975 lr=0.032756 Epoch[010] Batch [3449]/[3760] Speed: 95.627256 samples/sec accuracy=20.201993 loss=3.797748 lr=0.032795 Epoch[010] Batch [3499]/[3760] Speed: 93.354870 samples/sec accuracy=20.224554 loss=3.796014 lr=0.032834 Epoch[010] Batch [3549]/[3760] Speed: 94.859515 samples/sec accuracy=20.259243 loss=3.793742 lr=0.032872 Epoch[010] Batch [3599]/[3760] Speed: 95.304055 samples/sec accuracy=20.280382 loss=3.792456 lr=0.032911 Epoch[010] Batch [3649]/[3760] Speed: 94.162611 samples/sec accuracy=20.306507 loss=3.790960 lr=0.032950 Epoch[010] Batch [3699]/[3760] Speed: 95.315747 samples/sec accuracy=20.323057 loss=3.789844 lr=0.032989 Epoch[010] Batch [3749]/[3760] Speed: 106.558641 samples/sec accuracy=20.338750 loss=3.788731 lr=0.033027 Batch [0049]/[0303]: acc-top1=19.656250 acc-top5=45.093750 Batch [0099]/[0303]: acc-top1=17.859375 acc-top5=41.656250 Batch [0149]/[0303]: acc-top1=19.281250 acc-top5=43.302083 Batch [0199]/[0303]: acc-top1=21.882812 acc-top5=45.835938 Batch [0249]/[0303]: acc-top1=21.631250 acc-top5=45.500000 Batch [0299]/[0303]: acc-top1=21.213542 acc-top5=45.557292 [Epoch 010] training: accuracy=20.344082 loss=3.788456 [Epoch 010] speed: 94 samples/sec time cost: 2754.064360 [Epoch 010] validation: acc-top1=21.245875 acc-top5=45.585809 loss=3.778353 Epoch[011] Batch [0049]/[3759] Speed: 65.695407 samples/sec accuracy=21.843750 loss=3.684824 lr=0.033074 Epoch[011] Batch [0099]/[3759] Speed: 92.548568 samples/sec accuracy=21.515625 loss=3.692849 lr=0.033113 Epoch[011] Batch [0149]/[3759] Speed: 96.436739 samples/sec accuracy=21.812500 loss=3.673882 lr=0.033151 Epoch[011] Batch [0199]/[3759] Speed: 94.224686 samples/sec accuracy=22.007812 loss=3.661389 lr=0.033190 Epoch[011] Batch 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accuracy=21.910714 loss=3.661807 lr=0.033577 Epoch[011] Batch [0749]/[3759] Speed: 94.730913 samples/sec accuracy=21.950000 loss=3.660270 lr=0.033616 Epoch[011] Batch [0799]/[3759] Speed: 94.894364 samples/sec accuracy=21.964844 loss=3.659129 lr=0.033655 Epoch[011] Batch [0849]/[3759] Speed: 94.790680 samples/sec accuracy=21.928309 loss=3.663114 lr=0.033694 Epoch[011] Batch [0899]/[3759] Speed: 94.015267 samples/sec accuracy=21.951389 loss=3.661909 lr=0.033732 Epoch[011] Batch [0949]/[3759] Speed: 94.943681 samples/sec accuracy=21.976974 loss=3.661944 lr=0.033771 Epoch[011] Batch [0999]/[3759] Speed: 94.003940 samples/sec accuracy=21.942187 loss=3.662934 lr=0.033810 Epoch[011] Batch [1049]/[3759] Speed: 95.060729 samples/sec accuracy=21.989583 loss=3.662767 lr=0.033848 Epoch[011] Batch [1099]/[3759] Speed: 94.912734 samples/sec accuracy=21.886364 loss=3.677062 lr=0.033887 Epoch[011] Batch [1149]/[3759] Speed: 95.759442 samples/sec accuracy=21.747283 loss=3.690072 lr=0.033926 Epoch[011] Batch [1199]/[3759] Speed: 95.795105 samples/sec accuracy=21.605469 loss=3.700831 lr=0.033965 Epoch[011] Batch [1249]/[3759] Speed: 95.513013 samples/sec accuracy=21.485000 loss=3.709898 lr=0.034003 Epoch[011] Batch [1299]/[3759] Speed: 94.951368 samples/sec accuracy=21.435096 loss=3.714210 lr=0.034042 Epoch[011] Batch [1349]/[3759] Speed: 94.674275 samples/sec accuracy=21.370370 loss=3.718929 lr=0.034081 Epoch[011] Batch [1399]/[3759] Speed: 94.626862 samples/sec accuracy=21.391741 loss=3.720070 lr=0.034120 Epoch[011] Batch [1449]/[3759] Speed: 93.467382 samples/sec accuracy=21.432112 loss=3.719970 lr=0.034158 Epoch[011] Batch [1499]/[3759] Speed: 95.008263 samples/sec accuracy=21.450000 loss=3.719481 lr=0.034197 Epoch[011] Batch [1549]/[3759] Speed: 94.705623 samples/sec accuracy=21.469758 loss=3.718007 lr=0.034236 Epoch[011] Batch [1599]/[3759] Speed: 94.500130 samples/sec accuracy=21.538086 loss=3.715534 lr=0.034274 Epoch[011] Batch [1649]/[3759] Speed: 96.206275 samples/sec accuracy=21.539773 loss=3.715519 lr=0.034313 Epoch[011] Batch [1699]/[3759] Speed: 93.513168 samples/sec accuracy=21.558824 loss=3.714091 lr=0.034352 Epoch[011] Batch [1749]/[3759] Speed: 95.463252 samples/sec accuracy=21.573214 loss=3.714701 lr=0.034391 Epoch[011] Batch [1799]/[3759] Speed: 95.751786 samples/sec accuracy=21.549479 loss=3.715124 lr=0.034429 Epoch[011] Batch [1849]/[3759] Speed: 95.341020 samples/sec accuracy=21.577703 loss=3.713281 lr=0.034468 Epoch[011] Batch [1899]/[3759] Speed: 95.555403 samples/sec accuracy=21.574836 loss=3.714641 lr=0.034507 Epoch[011] Batch [1949]/[3759] Speed: 96.069605 samples/sec accuracy=21.564904 loss=3.715851 lr=0.034546 Epoch[011] Batch [1999]/[3759] Speed: 95.570954 samples/sec accuracy=21.592969 loss=3.714687 lr=0.034584 Epoch[011] Batch [2049]/[3759] Speed: 95.978021 samples/sec accuracy=21.633384 loss=3.712300 lr=0.034623 Epoch[011] Batch [2099]/[3759] Speed: 95.733558 samples/sec accuracy=21.670387 loss=3.709771 lr=0.034662 Epoch[011] Batch [2149]/[3759] Speed: 95.732882 samples/sec accuracy=21.665698 loss=3.708307 lr=0.034701 Epoch[011] Batch [2199]/[3759] Speed: 95.612133 samples/sec accuracy=21.690341 loss=3.707194 lr=0.034739 Epoch[011] Batch [2249]/[3759] Speed: 94.984530 samples/sec accuracy=21.697917 loss=3.706416 lr=0.034778 Epoch[011] Batch [2299]/[3759] Speed: 95.118533 samples/sec accuracy=21.688179 loss=3.705637 lr=0.034817 Epoch[011] Batch [2349]/[3759] Speed: 95.931289 samples/sec accuracy=21.722074 loss=3.704128 lr=0.034855 Epoch[011] Batch [2399]/[3759] Speed: 94.995652 samples/sec accuracy=21.751302 loss=3.702087 lr=0.034894 Epoch[011] Batch [2449]/[3759] Speed: 94.636098 samples/sec accuracy=21.763393 loss=3.701865 lr=0.034933 Epoch[011] Batch [2499]/[3759] Speed: 96.021990 samples/sec accuracy=21.792500 loss=3.699713 lr=0.034972 Epoch[011] Batch [2549]/[3759] Speed: 95.176688 samples/sec accuracy=21.831495 loss=3.698900 lr=0.035010 Epoch[011] Batch [2599]/[3759] Speed: 95.302693 samples/sec accuracy=21.850361 loss=3.696688 lr=0.035049 Epoch[011] Batch [2649]/[3759] Speed: 95.076739 samples/sec accuracy=21.856722 loss=3.696779 lr=0.035088 Epoch[011] Batch [2699]/[3759] Speed: 95.307025 samples/sec accuracy=21.839120 loss=3.697229 lr=0.035127 Epoch[011] Batch [2749]/[3759] Speed: 94.996754 samples/sec accuracy=21.856250 loss=3.696486 lr=0.035165 Epoch[011] Batch [2799]/[3759] Speed: 94.785486 samples/sec accuracy=21.901228 loss=3.694817 lr=0.035204 Epoch[011] Batch [2849]/[3759] Speed: 96.140409 samples/sec accuracy=21.904057 loss=3.694806 lr=0.035243 Epoch[011] Batch [2899]/[3759] Speed: 95.714425 samples/sec accuracy=21.927263 loss=3.693736 lr=0.035281 Epoch[011] Batch [2949]/[3759] Speed: 95.435122 samples/sec accuracy=21.906250 loss=3.695306 lr=0.035320 Epoch[011] Batch [2999]/[3759] Speed: 95.563981 samples/sec accuracy=21.917187 loss=3.695274 lr=0.035359 Epoch[011] Batch [3049]/[3759] Speed: 94.864896 samples/sec accuracy=21.925205 loss=3.694860 lr=0.035398 Epoch[011] Batch [3099]/[3759] Speed: 95.448474 samples/sec accuracy=21.938004 loss=3.694387 lr=0.035436 Epoch[011] Batch [3149]/[3759] Speed: 94.920651 samples/sec accuracy=21.931052 loss=3.694202 lr=0.035475 Epoch[011] Batch [3199]/[3759] Speed: 95.229275 samples/sec accuracy=21.906250 loss=3.695243 lr=0.035514 Epoch[011] Batch [3249]/[3759] Speed: 95.196811 samples/sec accuracy=21.895673 loss=3.695440 lr=0.035553 Epoch[011] Batch [3299]/[3759] Speed: 95.110729 samples/sec accuracy=21.879261 loss=3.695054 lr=0.035591 Epoch[011] Batch [3349]/[3759] Speed: 94.434517 samples/sec accuracy=21.881996 loss=3.695066 lr=0.035630 Epoch[011] Batch [3399]/[3759] Speed: 94.809388 samples/sec accuracy=21.870864 loss=3.695062 lr=0.035669 Epoch[011] Batch [3449]/[3759] Speed: 94.965352 samples/sec accuracy=21.871830 loss=3.694602 lr=0.035708 Epoch[011] Batch [3499]/[3759] Speed: 95.684718 samples/sec accuracy=21.846429 loss=3.695910 lr=0.035746 Epoch[011] Batch [3549]/[3759] Speed: 95.340970 samples/sec accuracy=21.841549 loss=3.696395 lr=0.035785 Epoch[011] Batch [3599]/[3759] Speed: 96.223935 samples/sec accuracy=21.855469 loss=3.695836 lr=0.035824 Epoch[011] Batch [3649]/[3759] Speed: 94.207583 samples/sec accuracy=21.862586 loss=3.695784 lr=0.035862 Epoch[011] Batch [3699]/[3759] Speed: 95.987825 samples/sec accuracy=21.867821 loss=3.695402 lr=0.035901 Epoch[011] Batch [3749]/[3759] Speed: 108.898680 samples/sec accuracy=21.872083 loss=3.695457 lr=0.035940 Batch [0049]/[0303]: acc-top1=23.250000 acc-top5=46.031250 Batch [0099]/[0303]: acc-top1=22.171875 acc-top5=44.625000 Batch [0149]/[0303]: acc-top1=22.291667 acc-top5=45.760417 Batch [0199]/[0303]: acc-top1=24.679688 acc-top5=47.968750 Batch [0249]/[0303]: acc-top1=24.518750 acc-top5=48.193750 Batch [0299]/[0303]: acc-top1=23.807292 acc-top5=47.833333 [Epoch 011] training: accuracy=21.875831 loss=3.695144 [Epoch 011] speed: 94 samples/sec time cost: 2740.998702 [Epoch 011] validation: acc-top1=23.860355 acc-top5=47.823845 loss=3.921547 Epoch[012] Batch [0049]/[3760] Speed: 66.112277 samples/sec accuracy=22.343750 loss=3.657272 lr=0.035986 Epoch[012] Batch [0099]/[3760] Speed: 92.617037 samples/sec accuracy=22.750000 loss=3.619675 lr=0.036024 Epoch[012] Batch [0149]/[3760] Speed: 96.016447 samples/sec accuracy=22.885417 loss=3.604423 lr=0.036063 Epoch[012] Batch [0199]/[3760] Speed: 95.801422 samples/sec accuracy=22.898438 loss=3.605251 lr=0.036102 Epoch[012] Batch [0249]/[3760] Speed: 95.151673 samples/sec accuracy=23.050000 loss=3.594656 lr=0.036141 Epoch[012] Batch [0299]/[3760] Speed: 94.448148 samples/sec accuracy=23.203125 loss=3.589503 lr=0.036179 Epoch[012] Batch [0349]/[3760] Speed: 94.831930 samples/sec accuracy=23.133929 loss=3.595410 lr=0.036218 Epoch[012] Batch [0399]/[3760] Speed: 95.529108 samples/sec accuracy=23.042969 loss=3.599529 lr=0.036257 Epoch[012] Batch [0449]/[3760] Speed: 95.681538 samples/sec accuracy=23.090278 loss=3.601758 lr=0.036295 Epoch[012] Batch [0499]/[3760] Speed: 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lr=0.037419 Epoch[012] Batch [1949]/[3760] Speed: 95.606203 samples/sec accuracy=23.485577 loss=3.590621 lr=0.037457 Epoch[012] Batch [1999]/[3760] Speed: 94.753163 samples/sec accuracy=23.500781 loss=3.589404 lr=0.037496 Epoch[012] Batch [2049]/[3760] Speed: 95.969978 samples/sec accuracy=23.511433 loss=3.589160 lr=0.037535 Epoch[012] Batch [2099]/[3760] Speed: 95.522352 samples/sec accuracy=23.512649 loss=3.589296 lr=0.037574 Epoch[012] Batch [2149]/[3760] Speed: 94.374174 samples/sec accuracy=23.547965 loss=3.587026 lr=0.037612 Epoch[012] Batch [2199]/[3760] Speed: 97.008474 samples/sec accuracy=23.564631 loss=3.584835 lr=0.037651 Epoch[012] Batch [2249]/[3760] Speed: 94.807786 samples/sec accuracy=23.591667 loss=3.583589 lr=0.037690 Epoch[012] Batch [2299]/[3760] Speed: 95.835493 samples/sec accuracy=23.626359 loss=3.582038 lr=0.037728 Epoch[012] Batch [2349]/[3760] Speed: 94.149556 samples/sec accuracy=23.613697 loss=3.582044 lr=0.037767 Epoch[012] Batch [2399]/[3760] Speed: 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lr=0.038155 Epoch[012] Batch [2899]/[3760] Speed: 95.548720 samples/sec accuracy=23.810345 loss=3.569769 lr=0.038193 Epoch[012] Batch [2949]/[3760] Speed: 94.480175 samples/sec accuracy=23.825212 loss=3.568652 lr=0.038232 Epoch[012] Batch [2999]/[3760] Speed: 94.206463 samples/sec accuracy=23.845833 loss=3.566907 lr=0.038271 Epoch[012] Batch [3049]/[3760] Speed: 94.936636 samples/sec accuracy=23.851434 loss=3.566282 lr=0.038309 Epoch[012] Batch [3099]/[3760] Speed: 95.901622 samples/sec accuracy=23.856351 loss=3.565610 lr=0.038348 Epoch[012] Batch [3149]/[3760] Speed: 95.476397 samples/sec accuracy=23.878472 loss=3.564361 lr=0.038387 Epoch[012] Batch [3199]/[3760] Speed: 96.293784 samples/sec accuracy=23.882812 loss=3.564055 lr=0.038426 Epoch[012] Batch [3249]/[3760] Speed: 96.663347 samples/sec accuracy=23.890865 loss=3.562967 lr=0.038464 Epoch[012] Batch [3299]/[3760] Speed: 94.998636 samples/sec accuracy=23.916193 loss=3.561676 lr=0.038503 Epoch[012] Batch [3349]/[3760] Speed: 94.999700 samples/sec accuracy=23.935168 loss=3.560634 lr=0.038542 Epoch[012] Batch [3399]/[3760] Speed: 95.855768 samples/sec accuracy=23.950368 loss=3.559506 lr=0.038581 Epoch[012] Batch [3449]/[3760] Speed: 95.074188 samples/sec accuracy=23.970109 loss=3.558438 lr=0.038619 Epoch[012] Batch [3499]/[3760] Speed: 94.770644 samples/sec accuracy=23.993304 loss=3.556657 lr=0.038658 Epoch[012] Batch [3549]/[3760] Speed: 95.327394 samples/sec accuracy=24.009243 loss=3.555557 lr=0.038697 Epoch[012] Batch [3599]/[3760] Speed: 96.143373 samples/sec accuracy=24.042101 loss=3.554392 lr=0.038735 Epoch[012] Batch [3649]/[3760] Speed: 93.742147 samples/sec accuracy=24.041096 loss=3.554202 lr=0.038774 Epoch[012] Batch [3699]/[3760] Speed: 95.283002 samples/sec accuracy=24.035473 loss=3.554403 lr=0.038813 Epoch[012] Batch [3749]/[3760] Speed: 107.501326 samples/sec accuracy=24.024167 loss=3.554669 lr=0.038852 Batch [0049]/[0303]: acc-top1=25.156250 acc-top5=50.031250 Batch [0099]/[0303]: acc-top1=24.515625 acc-top5=48.515625 Batch [0149]/[0303]: acc-top1=25.270833 acc-top5=49.395833 Batch [0199]/[0303]: acc-top1=27.187500 acc-top5=51.210938 Batch [0249]/[0303]: acc-top1=26.787500 acc-top5=51.443750 Batch [0299]/[0303]: acc-top1=26.406250 acc-top5=51.500000 [Epoch 012] training: accuracy=24.021360 loss=3.554781 [Epoch 012] speed: 94 samples/sec time cost: 2736.423818 [Epoch 012] validation: acc-top1=26.418111 acc-top5=51.495462 loss=3.480598 Epoch[013] Batch [0049]/[3760] Speed: 65.719366 samples/sec accuracy=26.406250 loss=3.392735 lr=0.038898 Epoch[013] Batch [0099]/[3760] Speed: 94.567098 samples/sec accuracy=25.906250 loss=3.438843 lr=0.038937 Epoch[013] Batch [0149]/[3760] Speed: 97.716337 samples/sec accuracy=25.604167 loss=3.448921 lr=0.038976 Epoch[013] Batch [0199]/[3760] Speed: 94.277208 samples/sec accuracy=25.718750 loss=3.449839 lr=0.039014 Epoch[013] Batch [0249]/[3760] Speed: 97.038055 samples/sec accuracy=25.812500 loss=3.449555 lr=0.039053 Epoch[013] 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accuracy=25.854167 loss=3.455101 lr=0.039440 Epoch[013] Batch [0799]/[3760] Speed: 95.767944 samples/sec accuracy=25.765625 loss=3.460729 lr=0.039479 Epoch[013] Batch [0849]/[3760] Speed: 95.512283 samples/sec accuracy=25.825368 loss=3.456721 lr=0.039518 Epoch[013] Batch [0899]/[3760] Speed: 95.707295 samples/sec accuracy=25.859375 loss=3.454725 lr=0.039557 Epoch[013] Batch [0949]/[3760] Speed: 95.693782 samples/sec accuracy=25.916118 loss=3.450639 lr=0.039595 Epoch[013] Batch [0999]/[3760] Speed: 95.090951 samples/sec accuracy=25.921875 loss=3.448270 lr=0.039634 Epoch[013] Batch [1049]/[3760] Speed: 95.984640 samples/sec accuracy=25.895833 loss=3.449966 lr=0.039673 Epoch[013] Batch [1099]/[3760] Speed: 95.583513 samples/sec accuracy=25.859375 loss=3.450479 lr=0.039712 Epoch[013] Batch [1149]/[3760] Speed: 95.929048 samples/sec accuracy=25.876359 loss=3.449043 lr=0.039750 Epoch[013] Batch [1199]/[3760] Speed: 96.789478 samples/sec accuracy=25.850260 loss=3.449088 lr=0.039789 Epoch[013] 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accuracy=25.818934 loss=3.446184 lr=0.040176 Epoch[013] Batch [1749]/[3760] Speed: 95.797203 samples/sec accuracy=25.753571 loss=3.447452 lr=0.040215 Epoch[013] Batch [1799]/[3760] Speed: 95.956593 samples/sec accuracy=25.741319 loss=3.449431 lr=0.040254 Epoch[013] Batch [1849]/[3760] Speed: 96.384585 samples/sec accuracy=25.716216 loss=3.450077 lr=0.040292 Epoch[013] Batch [1899]/[3760] Speed: 97.073507 samples/sec accuracy=25.685033 loss=3.451165 lr=0.040331 Epoch[013] Batch [1949]/[3760] Speed: 95.490712 samples/sec accuracy=25.709135 loss=3.449420 lr=0.040370 Epoch[013] Batch [1999]/[3760] Speed: 95.951181 samples/sec accuracy=25.722656 loss=3.448831 lr=0.040409 Epoch[013] Batch [2049]/[3760] Speed: 94.661283 samples/sec accuracy=25.715701 loss=3.448103 lr=0.040447 Epoch[013] Batch [2099]/[3760] Speed: 96.827223 samples/sec accuracy=25.721726 loss=3.448245 lr=0.040486 Epoch[013] Batch [2149]/[3760] Speed: 95.932999 samples/sec accuracy=25.723837 loss=3.447911 lr=0.040525 Epoch[013] 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accuracy=25.778302 loss=3.443590 lr=0.040912 Epoch[013] Batch [2699]/[3760] Speed: 96.203081 samples/sec accuracy=25.806713 loss=3.442980 lr=0.040951 Epoch[013] Batch [2749]/[3760] Speed: 96.453830 samples/sec accuracy=25.793750 loss=3.443222 lr=0.040990 Epoch[013] Batch [2799]/[3760] Speed: 95.653451 samples/sec accuracy=25.785156 loss=3.444275 lr=0.041028 Epoch[013] Batch [2849]/[3760] Speed: 97.004245 samples/sec accuracy=25.781798 loss=3.444232 lr=0.041067 Epoch[013] Batch [2899]/[3760] Speed: 96.620721 samples/sec accuracy=25.776940 loss=3.443886 lr=0.041106 Epoch[013] Batch [2949]/[3760] Speed: 95.531511 samples/sec accuracy=25.775424 loss=3.443794 lr=0.041145 Epoch[013] Batch [2999]/[3760] Speed: 97.036337 samples/sec accuracy=25.770312 loss=3.444807 lr=0.041183 Epoch[013] Batch [3049]/[3760] Speed: 95.618156 samples/sec accuracy=25.785861 loss=3.444100 lr=0.041222 Epoch[013] Batch [3099]/[3760] Speed: 95.786103 samples/sec accuracy=25.800403 loss=3.443117 lr=0.041261 Epoch[013] 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accuracy=25.871528 loss=3.440810 lr=0.041648 Epoch[013] Batch [3649]/[3760] Speed: 95.695838 samples/sec accuracy=25.875856 loss=3.440306 lr=0.041687 Epoch[013] Batch [3699]/[3760] Speed: 96.707924 samples/sec accuracy=25.893159 loss=3.439711 lr=0.041726 Epoch[013] Batch [3749]/[3760] Speed: 108.244134 samples/sec accuracy=25.896250 loss=3.439277 lr=0.041764 Batch [0049]/[0303]: acc-top1=28.750000 acc-top5=54.781250 Batch [0099]/[0303]: acc-top1=26.703125 acc-top5=52.390625 Batch [0149]/[0303]: acc-top1=27.781250 acc-top5=53.218750 Batch [0199]/[0303]: acc-top1=29.945312 acc-top5=55.210938 Batch [0249]/[0303]: acc-top1=28.962500 acc-top5=54.481250 Batch [0299]/[0303]: acc-top1=28.302083 acc-top5=54.427083 [Epoch 013] training: accuracy=25.893866 loss=3.439388 [Epoch 013] speed: 95 samples/sec time cost: 2720.661878 [Epoch 013] validation: acc-top1=28.315800 acc-top5=54.403878 loss=3.316927 Epoch[014] Batch [0049]/[3759] Speed: 67.005886 samples/sec accuracy=27.187500 loss=3.350076 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acc-top1=29.281250 acc-top5=54.609375 Batch [0249]/[0303]: acc-top1=29.200000 acc-top5=54.593750 Batch [0299]/[0303]: acc-top1=28.260417 acc-top5=54.500000 [Epoch 014] training: accuracy=26.898361 loss=3.373371 [Epoch 014] speed: 95 samples/sec time cost: 2728.754634 [Epoch 014] validation: acc-top1=28.243606 acc-top5=54.532797 loss=3.291327 Epoch[015] Batch [0049]/[3760] Speed: 65.976986 samples/sec accuracy=28.000000 loss=3.300850 lr=0.044723 Epoch[015] Batch [0099]/[3760] Speed: 93.891730 samples/sec accuracy=28.046875 loss=3.323390 lr=0.044761 Epoch[015] Batch [0149]/[3760] Speed: 95.644318 samples/sec accuracy=28.312500 loss=3.297961 lr=0.044800 Epoch[015] Batch [0199]/[3760] Speed: 94.951439 samples/sec accuracy=28.234375 loss=3.300758 lr=0.044839 Epoch[015] Batch [0249]/[3760] Speed: 96.067009 samples/sec accuracy=28.037500 loss=3.307254 lr=0.044877 Epoch[015] Batch [0299]/[3760] Speed: 95.717295 samples/sec accuracy=27.838542 loss=3.319606 lr=0.044916 Epoch[015] Batch 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accuracy=28.049658 loss=3.315711 lr=0.047511 Epoch[015] Batch [3699]/[3760] Speed: 95.811591 samples/sec accuracy=28.034206 loss=3.315796 lr=0.047550 Epoch[015] Batch [3749]/[3760] Speed: 108.449334 samples/sec accuracy=28.027083 loss=3.316112 lr=0.047589 Batch [0049]/[0303]: acc-top1=31.156250 acc-top5=56.781250 Batch [0099]/[0303]: acc-top1=27.843750 acc-top5=53.843750 Batch [0149]/[0303]: acc-top1=28.916667 acc-top5=54.333333 Batch [0199]/[0303]: acc-top1=31.031250 acc-top5=56.218750 Batch [0249]/[0303]: acc-top1=30.812500 acc-top5=56.231250 Batch [0299]/[0303]: acc-top1=30.010417 acc-top5=55.973958 [Epoch 015] training: accuracy=28.023604 loss=3.316209 [Epoch 015] speed: 95 samples/sec time cost: 2731.610834 [Epoch 015] validation: acc-top1=29.965965 acc-top5=55.966378 loss=3.250944 Epoch[016] Batch [0049]/[3760] Speed: 66.529107 samples/sec accuracy=28.718750 loss=3.246313 lr=0.047635 Epoch[016] Batch [0099]/[3760] Speed: 94.181805 samples/sec accuracy=28.578125 loss=3.275512 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lr=0.049881 Epoch[016] Batch [2999]/[3760] Speed: 95.297105 samples/sec accuracy=28.930729 loss=3.255914 lr=0.049920 Epoch[016] Batch [3049]/[3760] Speed: 96.009285 samples/sec accuracy=28.913422 loss=3.256628 lr=0.049959 Epoch[016] Batch [3099]/[3760] Speed: 94.459628 samples/sec accuracy=28.930444 loss=3.256130 lr=0.049998 Epoch[016] Batch [3149]/[3760] Speed: 95.620030 samples/sec accuracy=28.923115 loss=3.256970 lr=0.050036 Epoch[016] Batch [3199]/[3760] Speed: 95.762889 samples/sec accuracy=28.950195 loss=3.255765 lr=0.050075 Epoch[016] Batch [3249]/[3760] Speed: 95.880164 samples/sec accuracy=28.957212 loss=3.255871 lr=0.050114 Epoch[016] Batch [3299]/[3760] Speed: 95.840739 samples/sec accuracy=28.943655 loss=3.256257 lr=0.050153 Epoch[016] Batch [3349]/[3760] Speed: 94.584514 samples/sec accuracy=28.951493 loss=3.255585 lr=0.050191 Epoch[016] Batch [3399]/[3760] Speed: 96.147487 samples/sec accuracy=28.969210 loss=3.254465 lr=0.050230 Epoch[016] Batch [3449]/[3760] Speed: 94.954287 samples/sec accuracy=28.968297 loss=3.254456 lr=0.050269 Epoch[016] Batch [3499]/[3760] Speed: 95.411183 samples/sec accuracy=28.958482 loss=3.255090 lr=0.050308 Epoch[016] Batch [3549]/[3760] Speed: 96.626924 samples/sec accuracy=28.951585 loss=3.255857 lr=0.050346 Epoch[016] Batch [3599]/[3760] Speed: 96.450490 samples/sec accuracy=28.934462 loss=3.256777 lr=0.050385 Epoch[016] Batch [3649]/[3760] Speed: 95.511547 samples/sec accuracy=28.939212 loss=3.256586 lr=0.050424 Epoch[016] Batch [3699]/[3760] Speed: 94.237878 samples/sec accuracy=28.934544 loss=3.257154 lr=0.050462 Epoch[016] Batch [3749]/[3760] Speed: 108.629296 samples/sec accuracy=28.941250 loss=3.256741 lr=0.050501 Batch [0049]/[0303]: acc-top1=30.562500 acc-top5=56.750000 Batch [0099]/[0303]: acc-top1=28.718750 acc-top5=54.687500 Batch [0149]/[0303]: acc-top1=28.802083 acc-top5=55.385417 Batch [0199]/[0303]: acc-top1=30.968750 acc-top5=57.031250 Batch [0249]/[0303]: acc-top1=30.450000 acc-top5=56.600000 Batch [0299]/[0303]: acc-top1=30.265625 acc-top5=56.901042 [Epoch 016] training: accuracy=28.944481 loss=3.256539 [Epoch 016] speed: 95 samples/sec time cost: 2722.615388 [Epoch 016] validation: acc-top1=30.254744 acc-top5=56.848185 loss=3.202179 Epoch[017] Batch [0049]/[3759] Speed: 66.559939 samples/sec accuracy=29.187500 loss=3.196754 lr=0.050548 Epoch[017] Batch [0099]/[3759] Speed: 92.329610 samples/sec accuracy=29.562500 loss=3.198788 lr=0.050586 Epoch[017] Batch [0149]/[3759] Speed: 96.508934 samples/sec accuracy=29.187500 loss=3.230063 lr=0.050625 Epoch[017] Batch [0199]/[3759] Speed: 95.922037 samples/sec accuracy=29.453125 loss=3.216866 lr=0.050664 Epoch[017] Batch [0249]/[3759] Speed: 95.589281 samples/sec accuracy=29.456250 loss=3.215928 lr=0.050703 Epoch[017] Batch [0299]/[3759] Speed: 95.450063 samples/sec accuracy=29.562500 loss=3.212596 lr=0.050741 Epoch[017] Batch [0349]/[3759] Speed: 95.857268 samples/sec accuracy=29.785714 loss=3.207506 lr=0.050780 Epoch[017] Batch 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accuracy=29.515203 loss=3.236962 lr=0.053375 Epoch[017] Batch [3749]/[3759] Speed: 110.211599 samples/sec accuracy=29.523333 loss=3.237033 lr=0.053414 Batch [0049]/[0303]: acc-top1=30.906250 acc-top5=57.343750 Batch [0099]/[0303]: acc-top1=28.765625 acc-top5=55.000000 Batch [0149]/[0303]: acc-top1=30.010417 acc-top5=56.145833 Batch [0199]/[0303]: acc-top1=32.421875 acc-top5=58.015625 Batch [0249]/[0303]: acc-top1=31.956250 acc-top5=57.900000 Batch [0299]/[0303]: acc-top1=31.390625 acc-top5=57.937500 [Epoch 017] training: accuracy=29.523726 loss=3.236870 [Epoch 017] speed: 95 samples/sec time cost: 2725.624873 [Epoch 017] validation: acc-top1=31.430487 acc-top5=58.065182 loss=3.152630 Epoch[018] Batch [0049]/[3760] Speed: 66.284111 samples/sec accuracy=30.031250 loss=3.184976 lr=0.053459 Epoch[018] Batch [0099]/[3760] Speed: 93.642512 samples/sec accuracy=30.359375 loss=3.165318 lr=0.053498 Epoch[018] Batch [0149]/[3760] Speed: 96.568152 samples/sec accuracy=29.947917 loss=3.191897 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lr=0.055745 Epoch[018] Batch [3049]/[3760] Speed: 95.228933 samples/sec accuracy=30.243852 loss=3.191381 lr=0.055783 Epoch[018] Batch [3099]/[3760] Speed: 96.353318 samples/sec accuracy=30.233367 loss=3.192428 lr=0.055822 Epoch[018] Batch [3149]/[3760] Speed: 95.479566 samples/sec accuracy=30.227679 loss=3.192750 lr=0.055861 Epoch[018] Batch [3199]/[3760] Speed: 95.611976 samples/sec accuracy=30.229492 loss=3.193205 lr=0.055899 Epoch[018] Batch [3249]/[3760] Speed: 95.680887 samples/sec accuracy=30.223077 loss=3.193347 lr=0.055938 Epoch[018] Batch [3299]/[3760] Speed: 96.197832 samples/sec accuracy=30.212595 loss=3.193680 lr=0.055977 Epoch[018] Batch [3349]/[3760] Speed: 95.488428 samples/sec accuracy=30.192631 loss=3.194778 lr=0.056016 Epoch[018] Batch [3399]/[3760] Speed: 95.610582 samples/sec accuracy=30.175551 loss=3.195842 lr=0.056054 Epoch[018] Batch [3449]/[3760] Speed: 95.512090 samples/sec accuracy=30.180254 loss=3.196131 lr=0.056093 Epoch[018] Batch [3499]/[3760] Speed: 95.682490 samples/sec accuracy=30.185714 loss=3.195704 lr=0.056132 Epoch[018] Batch [3549]/[3760] Speed: 95.725115 samples/sec accuracy=30.186180 loss=3.195594 lr=0.056171 Epoch[018] Batch [3599]/[3760] Speed: 97.479262 samples/sec accuracy=30.187934 loss=3.195732 lr=0.056209 Epoch[018] Batch [3649]/[3760] Speed: 95.413312 samples/sec accuracy=30.213613 loss=3.194604 lr=0.056248 Epoch[018] Batch [3699]/[3760] Speed: 96.168694 samples/sec accuracy=30.199324 loss=3.195170 lr=0.056287 Epoch[018] Batch [3749]/[3760] Speed: 109.285708 samples/sec accuracy=30.197500 loss=3.196370 lr=0.056326 Batch [0049]/[0303]: acc-top1=30.187500 acc-top5=56.781250 Batch [0099]/[0303]: acc-top1=27.718750 acc-top5=54.359375 Batch [0149]/[0303]: acc-top1=28.843750 acc-top5=55.708333 Batch [0199]/[0303]: acc-top1=30.945312 acc-top5=57.531250 Batch [0249]/[0303]: acc-top1=30.393750 acc-top5=57.175000 Batch [0299]/[0303]: acc-top1=30.020833 acc-top5=57.447917 [Epoch 018] training: accuracy=30.197390 loss=3.196304 [Epoch 018] speed: 95 samples/sec time cost: 2723.871961 [Epoch 018] validation: acc-top1=30.120668 acc-top5=57.503094 loss=3.211317 Epoch[019] Batch [0049]/[3760] Speed: 67.001558 samples/sec accuracy=31.656250 loss=3.180503 lr=0.056372 Epoch[019] Batch [0099]/[3760] Speed: 92.437560 samples/sec accuracy=31.296875 loss=3.122226 lr=0.056411 Epoch[019] Batch [0149]/[3760] Speed: 97.018724 samples/sec accuracy=30.718750 loss=3.132565 lr=0.056449 Epoch[019] Batch [0199]/[3760] Speed: 94.731199 samples/sec accuracy=30.398437 loss=3.150994 lr=0.056488 Epoch[019] Batch [0249]/[3760] Speed: 95.896324 samples/sec accuracy=30.712500 loss=3.139299 lr=0.056527 Epoch[019] Batch [0299]/[3760] Speed: 96.366571 samples/sec accuracy=30.744792 loss=3.148041 lr=0.056566 Epoch[019] Batch [0349]/[3760] Speed: 95.332644 samples/sec accuracy=30.875000 loss=3.142311 lr=0.056604 Epoch[019] Batch [0399]/[3760] Speed: 96.809152 samples/sec accuracy=30.730469 loss=3.148276 lr=0.056643 Epoch[019] 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accuracy=30.491071 loss=3.169283 lr=0.058502 Epoch[019] Batch [2849]/[3760] Speed: 96.607001 samples/sec accuracy=30.499452 loss=3.169048 lr=0.058541 Epoch[019] Batch [2899]/[3760] Speed: 96.128147 samples/sec accuracy=30.514547 loss=3.168694 lr=0.058580 Epoch[019] Batch [2949]/[3760] Speed: 96.265174 samples/sec accuracy=30.508475 loss=3.169368 lr=0.058618 Epoch[019] Batch [2999]/[3760] Speed: 95.452679 samples/sec accuracy=30.512500 loss=3.168839 lr=0.058657 Epoch[019] Batch [3049]/[3760] Speed: 96.352358 samples/sec accuracy=30.500512 loss=3.168962 lr=0.058696 Epoch[019] Batch [3099]/[3760] Speed: 95.546449 samples/sec accuracy=30.502016 loss=3.168636 lr=0.058735 Epoch[019] Batch [3149]/[3760] Speed: 95.791679 samples/sec accuracy=30.499008 loss=3.168561 lr=0.058773 Epoch[019] Batch [3199]/[3760] Speed: 95.531667 samples/sec accuracy=30.504883 loss=3.168493 lr=0.058812 Epoch[019] Batch [3249]/[3760] Speed: 95.440063 samples/sec accuracy=30.473558 loss=3.169258 lr=0.058851 Epoch[019] 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accuracy=30.517917 loss=3.170333 lr=0.059238 Batch [0049]/[0303]: acc-top1=31.406250 acc-top5=57.781250 Batch [0099]/[0303]: acc-top1=29.093750 acc-top5=54.640625 Batch [0149]/[0303]: acc-top1=29.229167 acc-top5=55.468750 Batch [0199]/[0303]: acc-top1=31.625000 acc-top5=57.945312 Batch [0249]/[0303]: acc-top1=31.193750 acc-top5=57.787500 Batch [0299]/[0303]: acc-top1=30.869792 acc-top5=58.265625 [Epoch 019] training: accuracy=30.526928 loss=3.169974 [Epoch 019] speed: 95 samples/sec time cost: 2721.320355 [Epoch 019] validation: acc-top1=30.930281 acc-top5=58.323020 loss=3.188463 Epoch[020] Batch [0049]/[3759] Speed: 66.748808 samples/sec accuracy=31.343750 loss=3.115800 lr=0.059285 Epoch[020] Batch [0099]/[3759] Speed: 94.326378 samples/sec accuracy=30.890625 loss=3.117367 lr=0.059323 Epoch[020] Batch [0149]/[3759] Speed: 96.599920 samples/sec accuracy=30.875000 loss=3.113306 lr=0.059362 Epoch[020] Batch [0199]/[3759] Speed: 95.949146 samples/sec accuracy=30.992188 loss=3.108152 lr=0.059401 Epoch[020] Batch [0249]/[3759] Speed: 95.637927 samples/sec accuracy=31.031250 loss=3.115497 lr=0.059439 Epoch[020] Batch [0299]/[3759] Speed: 96.888091 samples/sec accuracy=31.125000 loss=3.124252 lr=0.059478 Epoch[020] Batch [0349]/[3759] Speed: 95.809323 samples/sec accuracy=31.138393 loss=3.122576 lr=0.059517 Epoch[020] Batch [0399]/[3759] Speed: 96.238824 samples/sec accuracy=31.218750 loss=3.126619 lr=0.059556 Epoch[020] Batch [0449]/[3759] Speed: 95.435927 samples/sec accuracy=31.222222 loss=3.125900 lr=0.059594 Epoch[020] Batch [0499]/[3759] Speed: 95.115201 samples/sec accuracy=31.215625 loss=3.129810 lr=0.059633 Epoch[020] Batch [0549]/[3759] Speed: 96.701200 samples/sec accuracy=31.230114 loss=3.129392 lr=0.059672 Epoch[020] Batch [0599]/[3759] Speed: 95.594579 samples/sec accuracy=31.171875 loss=3.133452 lr=0.059711 Epoch[020] Batch [0649]/[3759] Speed: 95.461198 samples/sec accuracy=31.144231 loss=3.132572 lr=0.059749 Epoch[020] Batch [0699]/[3759] Speed: 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lr=0.060137 Epoch[020] Batch [1199]/[3759] Speed: 95.284592 samples/sec accuracy=30.835938 loss=3.149338 lr=0.060175 Epoch[020] Batch [1249]/[3759] Speed: 96.322073 samples/sec accuracy=30.848750 loss=3.149163 lr=0.060214 Epoch[020] Batch [1299]/[3759] Speed: 96.341410 samples/sec accuracy=30.881010 loss=3.149325 lr=0.060253 Epoch[020] Batch [1349]/[3759] Speed: 95.986056 samples/sec accuracy=30.898148 loss=3.149461 lr=0.060292 Epoch[020] Batch [1399]/[3759] Speed: 95.581113 samples/sec accuracy=30.863839 loss=3.151389 lr=0.060330 Epoch[020] Batch [1449]/[3759] Speed: 95.885706 samples/sec accuracy=30.887931 loss=3.149952 lr=0.060369 Epoch[020] Batch [1499]/[3759] Speed: 96.583501 samples/sec accuracy=30.937500 loss=3.147915 lr=0.060408 Epoch[020] Batch [1549]/[3759] Speed: 95.512735 samples/sec accuracy=30.934476 loss=3.147989 lr=0.060446 Epoch[020] Batch [1599]/[3759] Speed: 96.503961 samples/sec accuracy=30.920898 loss=3.148399 lr=0.060485 Epoch[020] Batch [1649]/[3759] Speed: 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lr=0.060873 Epoch[020] Batch [2149]/[3759] Speed: 95.602826 samples/sec accuracy=30.877180 loss=3.150653 lr=0.060911 Epoch[020] Batch [2199]/[3759] Speed: 95.337433 samples/sec accuracy=30.884943 loss=3.150227 lr=0.060950 Epoch[020] Batch [2249]/[3759] Speed: 95.922469 samples/sec accuracy=30.871528 loss=3.150610 lr=0.060989 Epoch[020] Batch [2299]/[3759] Speed: 95.871174 samples/sec accuracy=30.896739 loss=3.150311 lr=0.061027 Epoch[020] Batch [2349]/[3759] Speed: 95.298127 samples/sec accuracy=30.915559 loss=3.149609 lr=0.061066 Epoch[020] Batch [2399]/[3759] Speed: 96.990463 samples/sec accuracy=30.920573 loss=3.149573 lr=0.061105 Epoch[020] Batch [2449]/[3759] Speed: 95.551971 samples/sec accuracy=30.935587 loss=3.148985 lr=0.061144 Epoch[020] Batch [2499]/[3759] Speed: 95.603149 samples/sec accuracy=30.925000 loss=3.149258 lr=0.061182 Epoch[020] Batch [2549]/[3759] Speed: 96.294249 samples/sec accuracy=30.945466 loss=3.148477 lr=0.061221 Epoch[020] Batch [2599]/[3759] Speed: 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lr=0.061608 Epoch[020] Batch [3099]/[3759] Speed: 96.029408 samples/sec accuracy=30.948085 loss=3.149696 lr=0.061647 Epoch[020] Batch [3149]/[3759] Speed: 95.807628 samples/sec accuracy=30.956845 loss=3.148666 lr=0.061686 Epoch[020] Batch [3199]/[3759] Speed: 96.057600 samples/sec accuracy=30.975098 loss=3.148415 lr=0.061725 Epoch[020] Batch [3249]/[3759] Speed: 96.332567 samples/sec accuracy=30.954327 loss=3.150045 lr=0.061763 Epoch[020] Batch [3299]/[3759] Speed: 95.859715 samples/sec accuracy=30.953125 loss=3.149974 lr=0.061802 Epoch[020] Batch [3349]/[3759] Speed: 96.728763 samples/sec accuracy=30.939832 loss=3.149998 lr=0.061841 Epoch[020] Batch [3399]/[3759] Speed: 96.545915 samples/sec accuracy=30.957721 loss=3.149679 lr=0.061880 Epoch[020] Batch [3449]/[3759] Speed: 96.013833 samples/sec accuracy=30.939764 loss=3.150323 lr=0.061918 Epoch[020] Batch [3499]/[3759] Speed: 95.462074 samples/sec accuracy=30.937500 loss=3.150320 lr=0.061957 Epoch[020] Batch [3549]/[3759] Speed: 95.763298 samples/sec accuracy=30.942342 loss=3.150429 lr=0.061996 Epoch[020] Batch [3599]/[3759] Speed: 95.780991 samples/sec accuracy=30.948785 loss=3.150244 lr=0.062034 Epoch[020] Batch [3649]/[3759] Speed: 95.809107 samples/sec accuracy=30.956336 loss=3.149681 lr=0.062073 Epoch[020] Batch [3699]/[3759] Speed: 96.306736 samples/sec accuracy=30.951858 loss=3.150049 lr=0.062112 Epoch[020] Batch [3749]/[3759] Speed: 109.791119 samples/sec accuracy=30.958333 loss=3.150136 lr=0.062151 Batch [0049]/[0303]: acc-top1=31.531250 acc-top5=58.187500 Batch [0099]/[0303]: acc-top1=29.968750 acc-top5=56.578125 Batch [0149]/[0303]: acc-top1=31.739583 acc-top5=57.635417 Batch [0199]/[0303]: acc-top1=34.382812 acc-top5=59.992188 Batch [0249]/[0303]: acc-top1=33.793750 acc-top5=60.037500 Batch [0299]/[0303]: acc-top1=32.734375 acc-top5=59.546875 [Epoch 020] training: accuracy=30.961526 loss=3.150071 [Epoch 020] speed: 95 samples/sec time cost: 2721.127591 [Epoch 020] validation: acc-top1=32.735149 acc-top5=59.483292 loss=3.113297 Epoch[021] Batch [0049]/[3760] Speed: 66.982663 samples/sec accuracy=30.218750 loss=3.172188 lr=0.062196 Epoch[021] Batch [0099]/[3760] Speed: 92.894454 samples/sec accuracy=30.828125 loss=3.138326 lr=0.062235 Epoch[021] Batch [0149]/[3760] Speed: 96.643192 samples/sec accuracy=31.041667 loss=3.123367 lr=0.062274 Epoch[021] Batch [0199]/[3760] Speed: 95.132167 samples/sec accuracy=31.562500 loss=3.114125 lr=0.062313 Epoch[021] Batch [0249]/[3760] Speed: 95.829849 samples/sec accuracy=31.768750 loss=3.118104 lr=0.062351 Epoch[021] Batch [0299]/[3760] Speed: 95.276508 samples/sec accuracy=31.796875 loss=3.114336 lr=0.062390 Epoch[021] Batch [0349]/[3760] Speed: 94.594344 samples/sec accuracy=31.625000 loss=3.121557 lr=0.062429 Epoch[021] Batch [0399]/[3760] Speed: 96.746105 samples/sec accuracy=31.660156 loss=3.116394 lr=0.062467 Epoch[021] Batch [0449]/[3760] Speed: 95.466827 samples/sec accuracy=31.600694 loss=3.116316 lr=0.062506 Epoch[021] Batch 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accuracy=31.261513 loss=3.131636 lr=0.062893 Epoch[021] Batch [0999]/[3760] Speed: 95.313412 samples/sec accuracy=31.248437 loss=3.132034 lr=0.062932 Epoch[021] Batch [1049]/[3760] Speed: 95.892284 samples/sec accuracy=31.215774 loss=3.133799 lr=0.062971 Epoch[021] Batch [1099]/[3760] Speed: 94.719566 samples/sec accuracy=31.166193 loss=3.135769 lr=0.063010 Epoch[021] Batch [1149]/[3760] Speed: 97.818610 samples/sec accuracy=31.156250 loss=3.135475 lr=0.063048 Epoch[021] Batch [1199]/[3760] Speed: 96.067520 samples/sec accuracy=31.165365 loss=3.136471 lr=0.063087 Epoch[021] Batch [1249]/[3760] Speed: 95.901047 samples/sec accuracy=31.205000 loss=3.132126 lr=0.063126 Epoch[021] Batch [1299]/[3760] Speed: 96.934062 samples/sec accuracy=31.189904 loss=3.133106 lr=0.063165 Epoch[021] Batch [1349]/[3760] Speed: 95.853808 samples/sec accuracy=31.165509 loss=3.134392 lr=0.063203 Epoch[021] Batch [1399]/[3760] Speed: 96.266042 samples/sec accuracy=31.104911 loss=3.137233 lr=0.063242 Epoch[021] 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accuracy=31.088816 loss=3.138903 lr=0.063629 Epoch[021] Batch [1949]/[3760] Speed: 95.675406 samples/sec accuracy=31.092949 loss=3.137090 lr=0.063668 Epoch[021] Batch [1999]/[3760] Speed: 96.721528 samples/sec accuracy=31.109375 loss=3.135873 lr=0.063707 Epoch[021] Batch [2049]/[3760] Speed: 95.582618 samples/sec accuracy=31.112805 loss=3.135349 lr=0.063746 Epoch[021] Batch [2099]/[3760] Speed: 95.555260 samples/sec accuracy=31.133185 loss=3.134307 lr=0.063784 Epoch[021] Batch [2149]/[3760] Speed: 95.999263 samples/sec accuracy=31.144622 loss=3.133389 lr=0.063823 Epoch[021] Batch [2199]/[3760] Speed: 95.831076 samples/sec accuracy=31.161932 loss=3.132004 lr=0.063862 Epoch[021] Batch [2249]/[3760] Speed: 96.073703 samples/sec accuracy=31.172222 loss=3.131660 lr=0.063900 Epoch[021] Batch [2299]/[3760] Speed: 95.770991 samples/sec accuracy=31.184103 loss=3.131654 lr=0.063939 Epoch[021] Batch [2349]/[3760] Speed: 94.768587 samples/sec accuracy=31.166223 loss=3.131517 lr=0.063978 Epoch[021] 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accuracy=31.148026 loss=3.134054 lr=0.064365 Epoch[021] Batch [2899]/[3760] Speed: 95.432144 samples/sec accuracy=31.155172 loss=3.133486 lr=0.064404 Epoch[021] Batch [2949]/[3760] Speed: 96.054053 samples/sec accuracy=31.157309 loss=3.132914 lr=0.064443 Epoch[021] Batch [2999]/[3760] Speed: 95.186480 samples/sec accuracy=31.141667 loss=3.132891 lr=0.064481 Epoch[021] Batch [3049]/[3760] Speed: 94.956756 samples/sec accuracy=31.133709 loss=3.132922 lr=0.064520 Epoch[021] Batch [3099]/[3760] Speed: 96.311294 samples/sec accuracy=31.111895 loss=3.133829 lr=0.064559 Epoch[021] Batch [3149]/[3760] Speed: 95.035567 samples/sec accuracy=31.114583 loss=3.133482 lr=0.064598 Epoch[021] Batch [3199]/[3760] Speed: 96.147059 samples/sec accuracy=31.127441 loss=3.132633 lr=0.064636 Epoch[021] Batch [3249]/[3760] Speed: 95.208436 samples/sec accuracy=31.124038 loss=3.132723 lr=0.064675 Epoch[021] Batch [3299]/[3760] Speed: 95.842974 samples/sec accuracy=31.141098 loss=3.131701 lr=0.064714 Epoch[021] 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[0099]/[0303]: acc-top1=30.250000 acc-top5=57.421875 Batch [0149]/[0303]: acc-top1=32.114583 acc-top5=58.437500 Batch [0199]/[0303]: acc-top1=34.054688 acc-top5=60.093750 Batch [0249]/[0303]: acc-top1=33.362500 acc-top5=60.131250 Batch [0299]/[0303]: acc-top1=32.604167 acc-top5=59.875000 [Epoch 021] training: accuracy=31.099152 loss=3.133691 [Epoch 021] speed: 95 samples/sec time cost: 2723.847696 [Epoch 021] validation: acc-top1=32.549505 acc-top5=59.864893 loss=3.061831 Epoch[022] Batch [0049]/[3760] Speed: 66.144389 samples/sec accuracy=32.312500 loss=3.101929 lr=0.065109 Epoch[022] Batch [0099]/[3760] Speed: 93.261230 samples/sec accuracy=32.531250 loss=3.093007 lr=0.065148 Epoch[022] Batch [0149]/[3760] Speed: 96.165910 samples/sec accuracy=32.218750 loss=3.117308 lr=0.065186 Epoch[022] Batch [0199]/[3760] Speed: 95.058838 samples/sec accuracy=32.156250 loss=3.106415 lr=0.065225 Epoch[022] Batch [0249]/[3760] Speed: 95.018825 samples/sec accuracy=32.037500 loss=3.105884 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lr=0.066736 Epoch[022] Batch [2199]/[3760] Speed: 96.160022 samples/sec accuracy=31.503551 loss=3.124511 lr=0.066774 Epoch[022] Batch [2249]/[3760] Speed: 95.405136 samples/sec accuracy=31.495139 loss=3.124963 lr=0.066813 Epoch[022] Batch [2299]/[3760] Speed: 95.785373 samples/sec accuracy=31.473505 loss=3.125892 lr=0.066852 Epoch[022] Batch [2349]/[3760] Speed: 94.537516 samples/sec accuracy=31.460771 loss=3.126286 lr=0.066891 Epoch[022] Batch [2399]/[3760] Speed: 96.282682 samples/sec accuracy=31.474609 loss=3.124981 lr=0.066929 Epoch[022] Batch [2449]/[3760] Speed: 95.395741 samples/sec accuracy=31.467474 loss=3.124905 lr=0.066968 Epoch[022] Batch [2499]/[3760] Speed: 95.415656 samples/sec accuracy=31.448125 loss=3.125236 lr=0.067007 Epoch[022] Batch [2549]/[3760] Speed: 96.023412 samples/sec accuracy=31.454657 loss=3.125917 lr=0.067045 Epoch[022] Batch [2599]/[3760] Speed: 96.378916 samples/sec accuracy=31.447115 loss=3.126110 lr=0.067084 Epoch[022] Batch [2649]/[3760] Speed: 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lr=0.067471 Epoch[022] Batch [3149]/[3760] Speed: 95.409086 samples/sec accuracy=31.390377 loss=3.128728 lr=0.067510 Epoch[022] Batch [3199]/[3760] Speed: 95.766934 samples/sec accuracy=31.393066 loss=3.128397 lr=0.067549 Epoch[022] Batch [3249]/[3760] Speed: 96.575104 samples/sec accuracy=31.411538 loss=3.128301 lr=0.067588 Epoch[022] Batch [3299]/[3760] Speed: 96.235978 samples/sec accuracy=31.408617 loss=3.127992 lr=0.067626 Epoch[022] Batch [3349]/[3760] Speed: 95.917632 samples/sec accuracy=31.409049 loss=3.127832 lr=0.067665 Epoch[022] Batch [3399]/[3760] Speed: 95.034497 samples/sec accuracy=31.413143 loss=3.126674 lr=0.067704 Epoch[022] Batch [3449]/[3760] Speed: 95.862029 samples/sec accuracy=31.430707 loss=3.125892 lr=0.067743 Epoch[022] Batch [3499]/[3760] Speed: 95.396538 samples/sec accuracy=31.417411 loss=3.126236 lr=0.067781 Epoch[022] Batch [3549]/[3760] Speed: 95.727462 samples/sec accuracy=31.400528 loss=3.126801 lr=0.067820 Epoch[022] Batch [3599]/[3760] Speed: 96.535951 samples/sec accuracy=31.401910 loss=3.126218 lr=0.067859 Epoch[022] Batch [3649]/[3760] Speed: 95.408571 samples/sec accuracy=31.401113 loss=3.126779 lr=0.067898 Epoch[022] Batch [3699]/[3760] Speed: 95.851673 samples/sec accuracy=31.416385 loss=3.125941 lr=0.067936 Epoch[022] Batch [3749]/[3760] Speed: 109.835087 samples/sec accuracy=31.417083 loss=3.125869 lr=0.067975 Batch [0049]/[0303]: acc-top1=30.812500 acc-top5=57.843750 Batch [0099]/[0303]: acc-top1=28.828125 acc-top5=55.390625 Batch [0149]/[0303]: acc-top1=31.406250 acc-top5=57.281250 Batch [0199]/[0303]: acc-top1=33.273438 acc-top5=59.320313 Batch [0249]/[0303]: acc-top1=33.168750 acc-top5=59.425000 Batch [0299]/[0303]: acc-top1=32.041667 acc-top5=59.104167 [Epoch 022] training: accuracy=31.418301 loss=3.125720 [Epoch 022] speed: 95 samples/sec time cost: 2725.842246 [Epoch 022] validation: acc-top1=32.075083 acc-top5=59.106848 loss=3.276903 Epoch[023] Batch [0049]/[3759] Speed: 65.946646 samples/sec accuracy=30.093750 loss=3.161716 lr=0.068021 Epoch[023] Batch [0099]/[3759] Speed: 93.693926 samples/sec accuracy=31.031250 loss=3.146259 lr=0.068060 Epoch[023] Batch [0149]/[3759] Speed: 96.239733 samples/sec accuracy=31.166667 loss=3.136436 lr=0.068099 Epoch[023] Batch [0199]/[3759] Speed: 95.703788 samples/sec accuracy=31.132812 loss=3.142539 lr=0.068138 Epoch[023] Batch [0249]/[3759] Speed: 96.841495 samples/sec accuracy=31.031250 loss=3.138439 lr=0.068176 Epoch[023] Batch [0299]/[3759] Speed: 94.414928 samples/sec accuracy=31.041667 loss=3.141956 lr=0.068215 Epoch[023] Batch [0349]/[3759] Speed: 96.028115 samples/sec accuracy=31.093750 loss=3.139824 lr=0.068254 Epoch[023] Batch [0399]/[3759] Speed: 94.941561 samples/sec accuracy=31.300781 loss=3.132189 lr=0.068293 Epoch[023] Batch [0449]/[3759] Speed: 96.179395 samples/sec accuracy=31.378472 loss=3.127366 lr=0.068331 Epoch[023] Batch [0499]/[3759] Speed: 95.668846 samples/sec accuracy=31.421875 loss=3.120722 lr=0.068370 Epoch[023] 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accuracy=31.651563 loss=3.109324 lr=0.068757 Epoch[023] Batch [1049]/[3759] Speed: 95.708262 samples/sec accuracy=31.629464 loss=3.111415 lr=0.068796 Epoch[023] Batch [1099]/[3759] Speed: 95.432770 samples/sec accuracy=31.580966 loss=3.112456 lr=0.068835 Epoch[023] Batch [1149]/[3759] Speed: 96.640476 samples/sec accuracy=31.616848 loss=3.110852 lr=0.068874 Epoch[023] Batch [1199]/[3759] Speed: 95.898380 samples/sec accuracy=31.627604 loss=3.110895 lr=0.068912 Epoch[023] Batch [1249]/[3759] Speed: 96.582578 samples/sec accuracy=31.647500 loss=3.111525 lr=0.068951 Epoch[023] Batch [1299]/[3759] Speed: 96.342676 samples/sec accuracy=31.593750 loss=3.111185 lr=0.068990 Epoch[023] Batch [1349]/[3759] Speed: 96.149688 samples/sec accuracy=31.583333 loss=3.112753 lr=0.069028 Epoch[023] Batch [1399]/[3759] Speed: 95.842925 samples/sec accuracy=31.564732 loss=3.114558 lr=0.069067 Epoch[023] Batch [1449]/[3759] Speed: 95.819280 samples/sec accuracy=31.575431 loss=3.113448 lr=0.069106 Epoch[023] 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accuracy=31.516827 loss=3.117500 lr=0.069493 Epoch[023] Batch [1999]/[3759] Speed: 96.352194 samples/sec accuracy=31.505469 loss=3.116821 lr=0.069532 Epoch[023] Batch [2049]/[3759] Speed: 95.697790 samples/sec accuracy=31.511433 loss=3.116173 lr=0.069571 Epoch[023] Batch [2099]/[3759] Speed: 95.467878 samples/sec accuracy=31.511905 loss=3.114759 lr=0.069609 Epoch[023] Batch [2149]/[3759] Speed: 96.263334 samples/sec accuracy=31.478198 loss=3.115933 lr=0.069648 Epoch[023] Batch [2199]/[3759] Speed: 97.124600 samples/sec accuracy=31.496449 loss=3.115467 lr=0.069687 Epoch[023] Batch [2249]/[3759] Speed: 95.203277 samples/sec accuracy=31.518750 loss=3.113353 lr=0.069726 Epoch[023] Batch [2299]/[3759] Speed: 95.487786 samples/sec accuracy=31.529891 loss=3.112426 lr=0.069764 Epoch[023] Batch [2349]/[3759] Speed: 95.759274 samples/sec accuracy=31.524601 loss=3.112510 lr=0.069803 Epoch[023] Batch [2399]/[3759] Speed: 95.422372 samples/sec accuracy=31.541667 loss=3.111397 lr=0.069842 Epoch[023] 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accuracy=31.535560 loss=3.115480 lr=0.070229 Epoch[023] Batch [2949]/[3759] Speed: 96.100578 samples/sec accuracy=31.539195 loss=3.114748 lr=0.070268 Epoch[023] Batch [2999]/[3759] Speed: 96.477364 samples/sec accuracy=31.533333 loss=3.115162 lr=0.070307 Epoch[023] Batch [3049]/[3759] Speed: 95.179392 samples/sec accuracy=31.532787 loss=3.115140 lr=0.070345 Epoch[023] Batch [3099]/[3759] Speed: 95.587426 samples/sec accuracy=31.510585 loss=3.116135 lr=0.070384 Epoch[023] Batch [3149]/[3759] Speed: 95.652774 samples/sec accuracy=31.507937 loss=3.116661 lr=0.070423 Epoch[023] Batch [3199]/[3759] Speed: 95.342017 samples/sec accuracy=31.494141 loss=3.117322 lr=0.070462 Epoch[023] Batch [3249]/[3759] Speed: 94.792975 samples/sec accuracy=31.497596 loss=3.116938 lr=0.070500 Epoch[023] Batch [3299]/[3759] Speed: 95.981429 samples/sec accuracy=31.500000 loss=3.116265 lr=0.070539 Epoch[023] Batch [3349]/[3759] Speed: 96.118806 samples/sec accuracy=31.485075 loss=3.116533 lr=0.070578 Epoch[023] Batch [3399]/[3759] Speed: 95.230212 samples/sec accuracy=31.471967 loss=3.117069 lr=0.070616 Epoch[023] Batch [3449]/[3759] Speed: 95.607327 samples/sec accuracy=31.469656 loss=3.117595 lr=0.070655 Epoch[023] Batch [3499]/[3759] Speed: 95.343245 samples/sec accuracy=31.477232 loss=3.116708 lr=0.070694 Epoch[023] Batch [3549]/[3759] Speed: 96.574146 samples/sec accuracy=31.481074 loss=3.116731 lr=0.070733 Epoch[023] Batch [3599]/[3759] Speed: 97.036540 samples/sec accuracy=31.469618 loss=3.117982 lr=0.070771 Epoch[023] Batch [3649]/[3759] Speed: 94.955011 samples/sec accuracy=31.465325 loss=3.118598 lr=0.070810 Epoch[023] Batch [3699]/[3759] Speed: 96.298566 samples/sec accuracy=31.456926 loss=3.118527 lr=0.070849 Epoch[023] Batch [3749]/[3759] Speed: 108.054475 samples/sec accuracy=31.472500 loss=3.118043 lr=0.070888 Batch [0049]/[0303]: acc-top1=32.531250 acc-top5=56.937500 Batch [0099]/[0303]: acc-top1=29.250000 acc-top5=54.796875 Batch [0149]/[0303]: acc-top1=31.114583 acc-top5=56.906250 Batch [0199]/[0303]: acc-top1=33.625000 acc-top5=59.390625 Batch [0249]/[0303]: acc-top1=33.425000 acc-top5=59.612500 Batch [0299]/[0303]: acc-top1=32.557292 acc-top5=59.562500 [Epoch 023] training: accuracy=31.471552 loss=3.117947 [Epoch 023] speed: 95 samples/sec time cost: 2724.480280 [Epoch 023] validation: acc-top1=32.632013 acc-top5=59.607054 loss=3.166019 Epoch[024] Batch [0049]/[3760] Speed: 65.350506 samples/sec accuracy=32.406250 loss=3.039554 lr=0.070933 Epoch[024] Batch [0099]/[3760] Speed: 92.813997 samples/sec accuracy=32.453125 loss=3.067097 lr=0.070972 Epoch[024] Batch [0149]/[3760] Speed: 95.896420 samples/sec accuracy=31.812500 loss=3.084969 lr=0.071011 Epoch[024] Batch [0199]/[3760] Speed: 94.560209 samples/sec accuracy=31.796875 loss=3.089178 lr=0.071049 Epoch[024] Batch [0249]/[3760] Speed: 95.580212 samples/sec accuracy=32.137500 loss=3.079336 lr=0.071088 Epoch[024] Batch [0299]/[3760] Speed: 95.385682 samples/sec accuracy=31.843750 loss=3.092624 lr=0.071127 Epoch[024] Batch [0349]/[3760] Speed: 95.627170 samples/sec accuracy=31.589286 loss=3.107621 lr=0.071166 Epoch[024] Batch [0399]/[3760] Speed: 96.129453 samples/sec accuracy=31.750000 loss=3.102393 lr=0.071204 Epoch[024] Batch [0449]/[3760] Speed: 95.968898 samples/sec accuracy=31.892361 loss=3.092730 lr=0.071243 Epoch[024] Batch [0499]/[3760] Speed: 96.004975 samples/sec accuracy=31.921875 loss=3.089926 lr=0.071282 Epoch[024] Batch [0549]/[3760] Speed: 95.857988 samples/sec accuracy=31.982955 loss=3.087791 lr=0.071321 Epoch[024] Batch [0599]/[3760] Speed: 94.941321 samples/sec accuracy=32.007812 loss=3.088414 lr=0.071359 Epoch[024] Batch [0649]/[3760] Speed: 95.063950 samples/sec accuracy=31.935096 loss=3.089625 lr=0.071398 Epoch[024] Batch [0699]/[3760] Speed: 95.818304 samples/sec accuracy=31.950893 loss=3.090896 lr=0.071437 Epoch[024] Batch [0749]/[3760] Speed: 95.920755 samples/sec accuracy=31.997917 loss=3.087530 lr=0.071475 Epoch[024] Batch 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accuracy=31.955000 loss=3.100600 lr=0.071863 Epoch[024] Batch [1299]/[3760] Speed: 94.592887 samples/sec accuracy=31.959135 loss=3.100031 lr=0.071902 Epoch[024] Batch [1349]/[3760] Speed: 95.576232 samples/sec accuracy=31.958333 loss=3.100088 lr=0.071940 Epoch[024] Batch [1399]/[3760] Speed: 95.368919 samples/sec accuracy=31.957589 loss=3.099293 lr=0.071979 Epoch[024] Batch [1449]/[3760] Speed: 95.896031 samples/sec accuracy=32.010776 loss=3.097631 lr=0.072018 Epoch[024] Batch [1499]/[3760] Speed: 95.844696 samples/sec accuracy=31.988542 loss=3.099407 lr=0.072056 Epoch[024] Batch [1549]/[3760] Speed: 95.580554 samples/sec accuracy=31.954637 loss=3.101761 lr=0.072095 Epoch[024] Batch [1599]/[3760] Speed: 96.563762 samples/sec accuracy=31.971680 loss=3.100440 lr=0.072134 Epoch[024] Batch [1649]/[3760] Speed: 94.633546 samples/sec accuracy=32.021780 loss=3.099034 lr=0.072173 Epoch[024] Batch [1699]/[3760] Speed: 95.919273 samples/sec accuracy=31.979779 loss=3.101165 lr=0.072211 Epoch[024] 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accuracy=31.924716 loss=3.104060 lr=0.072599 Epoch[024] Batch [2249]/[3760] Speed: 95.761667 samples/sec accuracy=31.914583 loss=3.104949 lr=0.072637 Epoch[024] Batch [2299]/[3760] Speed: 96.557044 samples/sec accuracy=31.897418 loss=3.106623 lr=0.072676 Epoch[024] Batch [2349]/[3760] Speed: 95.876556 samples/sec accuracy=31.898271 loss=3.106022 lr=0.072715 Epoch[024] Batch [2399]/[3760] Speed: 95.106517 samples/sec accuracy=31.899089 loss=3.107290 lr=0.072754 Epoch[024] Batch [2449]/[3760] Speed: 95.399450 samples/sec accuracy=31.878189 loss=3.107978 lr=0.072792 Epoch[024] Batch [2499]/[3760] Speed: 95.982573 samples/sec accuracy=31.866250 loss=3.107986 lr=0.072831 Epoch[024] Batch [2549]/[3760] Speed: 95.176586 samples/sec accuracy=31.875613 loss=3.108034 lr=0.072870 Epoch[024] Batch [2599]/[3760] Speed: 96.844656 samples/sec accuracy=31.872596 loss=3.108453 lr=0.072909 Epoch[024] Batch [2649]/[3760] Speed: 95.784142 samples/sec accuracy=31.844340 loss=3.109848 lr=0.072947 Epoch[024] 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accuracy=31.846726 loss=3.105987 lr=0.073335 Epoch[024] Batch [3199]/[3760] Speed: 95.398456 samples/sec accuracy=31.833008 loss=3.107239 lr=0.073373 Epoch[024] Batch [3249]/[3760] Speed: 96.155536 samples/sec accuracy=31.830288 loss=3.107277 lr=0.073412 Epoch[024] Batch [3299]/[3760] Speed: 95.832933 samples/sec accuracy=31.829072 loss=3.107119 lr=0.073451 Epoch[024] Batch [3349]/[3760] Speed: 96.057651 samples/sec accuracy=31.842351 loss=3.106350 lr=0.073489 Epoch[024] Batch [3399]/[3760] Speed: 94.752451 samples/sec accuracy=31.829963 loss=3.106454 lr=0.073528 Epoch[024] Batch [3449]/[3760] Speed: 95.532398 samples/sec accuracy=31.822011 loss=3.106947 lr=0.073567 Epoch[024] Batch [3499]/[3760] Speed: 95.414080 samples/sec accuracy=31.802232 loss=3.107912 lr=0.073606 Epoch[024] Batch [3549]/[3760] Speed: 96.962323 samples/sec accuracy=31.797975 loss=3.108547 lr=0.073644 Epoch[024] Batch [3599]/[3760] Speed: 95.676094 samples/sec accuracy=31.792535 loss=3.108993 lr=0.073683 Epoch[024] Batch [3649]/[3760] Speed: 96.588851 samples/sec accuracy=31.788527 loss=3.110018 lr=0.073722 Epoch[024] Batch [3699]/[3760] Speed: 94.728864 samples/sec accuracy=31.792230 loss=3.110014 lr=0.073761 Epoch[024] Batch [3749]/[3760] Speed: 109.038782 samples/sec accuracy=31.778333 loss=3.111376 lr=0.073799 Batch [0049]/[0303]: acc-top1=33.312500 acc-top5=60.000000 Batch [0099]/[0303]: acc-top1=30.203125 acc-top5=57.156250 Batch [0149]/[0303]: acc-top1=30.604167 acc-top5=57.468750 Batch [0199]/[0303]: acc-top1=32.960938 acc-top5=59.062500 Batch [0249]/[0303]: acc-top1=32.318750 acc-top5=58.687500 Batch [0299]/[0303]: acc-top1=31.984375 acc-top5=58.531250 [Epoch 024] training: accuracy=31.771526 loss=3.111817 [Epoch 024] speed: 95 samples/sec time cost: 2725.571389 [Epoch 024] validation: acc-top1=31.982261 acc-top5=58.513820 loss=3.115511 Epoch[025] Batch [0049]/[3760] Speed: 65.809425 samples/sec accuracy=33.406250 loss=2.990932 lr=0.073846 Epoch[025] Batch [0099]/[3760] Speed: 93.941327 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lr=0.076441 Epoch[025] Batch [3449]/[3760] Speed: 95.397270 samples/sec accuracy=31.725996 loss=3.110475 lr=0.076480 Epoch[025] Batch [3499]/[3760] Speed: 95.507876 samples/sec accuracy=31.723661 loss=3.110418 lr=0.076518 Epoch[025] Batch [3549]/[3760] Speed: 96.255791 samples/sec accuracy=31.717430 loss=3.110916 lr=0.076557 Epoch[025] Batch [3599]/[3760] Speed: 95.718370 samples/sec accuracy=31.708333 loss=3.111355 lr=0.076596 Epoch[025] Batch [3649]/[3760] Speed: 95.915722 samples/sec accuracy=31.702911 loss=3.111183 lr=0.076634 Epoch[025] Batch [3699]/[3760] Speed: 95.783729 samples/sec accuracy=31.706503 loss=3.111278 lr=0.076673 Epoch[025] Batch [3749]/[3760] Speed: 107.164040 samples/sec accuracy=31.707083 loss=3.111583 lr=0.076712 Batch [0049]/[0303]: acc-top1=30.468750 acc-top5=58.687500 Batch [0099]/[0303]: acc-top1=27.984375 acc-top5=55.031250 Batch [0149]/[0303]: acc-top1=29.635417 acc-top5=56.270833 Batch [0199]/[0303]: acc-top1=32.515625 acc-top5=58.789062 Batch [0249]/[0303]: acc-top1=31.887500 acc-top5=58.306250 Batch [0299]/[0303]: acc-top1=31.479167 acc-top5=58.395833 [Epoch 025] training: accuracy=31.707945 loss=3.111522 [Epoch 025] speed: 95 samples/sec time cost: 2726.067762 [Epoch 025] validation: acc-top1=31.363449 acc-top5=58.374587 loss=3.206290 Epoch[026] Batch [0049]/[3759] Speed: 66.994391 samples/sec accuracy=32.031250 loss=3.049988 lr=0.076758 Epoch[026] Batch [0099]/[3759] Speed: 93.871200 samples/sec accuracy=31.937500 loss=3.059972 lr=0.076797 Epoch[026] Batch [0149]/[3759] Speed: 96.952401 samples/sec accuracy=31.927083 loss=3.077947 lr=0.076836 Epoch[026] Batch [0199]/[3759] Speed: 94.780384 samples/sec accuracy=31.656250 loss=3.084345 lr=0.076875 Epoch[026] Batch [0249]/[3759] Speed: 95.549139 samples/sec accuracy=31.850000 loss=3.090088 lr=0.076913 Epoch[026] Batch [0299]/[3759] Speed: 96.865422 samples/sec accuracy=32.093750 loss=3.077087 lr=0.076952 Epoch[026] Batch [0349]/[3759] Speed: 95.167384 samples/sec 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accuracy=31.883413 loss=3.097724 lr=0.077727 Epoch[026] Batch [1349]/[3759] Speed: 95.864817 samples/sec accuracy=31.890046 loss=3.097757 lr=0.077765 Epoch[026] Batch [1399]/[3759] Speed: 95.574402 samples/sec accuracy=31.885045 loss=3.096873 lr=0.077804 Epoch[026] Batch [1449]/[3759] Speed: 96.075448 samples/sec accuracy=31.920259 loss=3.095140 lr=0.077843 Epoch[026] Batch [1499]/[3759] Speed: 95.409830 samples/sec accuracy=31.881250 loss=3.097157 lr=0.077882 Epoch[026] Batch [1549]/[3759] Speed: 94.668558 samples/sec accuracy=31.902218 loss=3.097612 lr=0.077920 Epoch[026] Batch [1599]/[3759] Speed: 95.861255 samples/sec accuracy=31.859375 loss=3.098446 lr=0.077959 Epoch[026] Batch [1649]/[3759] Speed: 95.720009 samples/sec accuracy=31.809659 loss=3.099879 lr=0.077998 Epoch[026] Batch [1699]/[3759] Speed: 95.150929 samples/sec accuracy=31.826287 loss=3.099164 lr=0.078036 Epoch[026] Batch [1749]/[3759] Speed: 95.497646 samples/sec accuracy=31.786607 loss=3.100256 lr=0.078075 Epoch[026] 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accuracy=31.745139 loss=3.105404 lr=0.078463 Epoch[026] Batch [2299]/[3759] Speed: 95.735275 samples/sec accuracy=31.735054 loss=3.106000 lr=0.078501 Epoch[026] Batch [2349]/[3759] Speed: 96.248893 samples/sec accuracy=31.700133 loss=3.106884 lr=0.078540 Epoch[026] Batch [2399]/[3759] Speed: 95.712409 samples/sec accuracy=31.718750 loss=3.107564 lr=0.078579 Epoch[026] Batch [2449]/[3759] Speed: 95.606970 samples/sec accuracy=31.711097 loss=3.108975 lr=0.078617 Epoch[026] Batch [2499]/[3759] Speed: 93.692259 samples/sec accuracy=31.683750 loss=3.110083 lr=0.078656 Epoch[026] Batch [2549]/[3759] Speed: 96.316523 samples/sec accuracy=31.700980 loss=3.109123 lr=0.078695 Epoch[026] Batch [2599]/[3759] Speed: 94.817593 samples/sec accuracy=31.696514 loss=3.110386 lr=0.078734 Epoch[026] Batch [2649]/[3759] Speed: 96.506400 samples/sec accuracy=31.701061 loss=3.109516 lr=0.078772 Epoch[026] Batch [2699]/[3759] Speed: 95.955029 samples/sec accuracy=31.700231 loss=3.109149 lr=0.078811 Epoch[026] 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accuracy=31.687012 loss=3.110320 lr=0.079198 Epoch[026] Batch [3249]/[3759] Speed: 94.895771 samples/sec accuracy=31.667308 loss=3.111189 lr=0.079237 Epoch[026] Batch [3299]/[3759] Speed: 96.275369 samples/sec accuracy=31.664299 loss=3.111168 lr=0.079276 Epoch[026] Batch [3349]/[3759] Speed: 96.697886 samples/sec accuracy=31.678638 loss=3.110885 lr=0.079315 Epoch[026] Batch [3399]/[3759] Speed: 95.340916 samples/sec accuracy=31.690257 loss=3.109857 lr=0.079353 Epoch[026] Batch [3449]/[3759] Speed: 96.449897 samples/sec accuracy=31.686594 loss=3.109809 lr=0.079392 Epoch[026] Batch [3499]/[3759] Speed: 95.356302 samples/sec accuracy=31.682143 loss=3.109858 lr=0.079431 Epoch[026] Batch [3549]/[3759] Speed: 95.737055 samples/sec accuracy=31.699384 loss=3.109452 lr=0.079470 Epoch[026] Batch [3599]/[3759] Speed: 96.129131 samples/sec accuracy=31.696615 loss=3.109359 lr=0.079508 Epoch[026] Batch [3649]/[3759] Speed: 95.587082 samples/sec accuracy=31.690497 loss=3.109684 lr=0.079547 Epoch[026] Batch [3699]/[3759] Speed: 96.074402 samples/sec accuracy=31.691723 loss=3.109782 lr=0.079586 Epoch[026] Batch [3749]/[3759] Speed: 109.614751 samples/sec accuracy=31.680417 loss=3.109755 lr=0.079624 Batch [0049]/[0303]: acc-top1=30.968750 acc-top5=55.375000 Batch [0099]/[0303]: acc-top1=27.953125 acc-top5=53.781250 Batch [0149]/[0303]: acc-top1=29.302083 acc-top5=55.354167 Batch [0199]/[0303]: acc-top1=31.562500 acc-top5=57.109375 Batch [0249]/[0303]: acc-top1=31.125000 acc-top5=56.906250 Batch [0299]/[0303]: acc-top1=30.848958 acc-top5=57.156250 [Epoch 026] training: accuracy=31.677723 loss=3.109884 [Epoch 026] speed: 95 samples/sec time cost: 2725.120451 [Epoch 026] validation: acc-top1=30.904497 acc-top5=57.281353 loss=3.224554 Epoch[027] Batch [0049]/[3760] Speed: 66.289068 samples/sec accuracy=32.875000 loss=3.097630 lr=0.079670 Epoch[027] Batch [0099]/[3760] Speed: 93.954832 samples/sec accuracy=33.125000 loss=3.071564 lr=0.079709 Epoch[027] Batch [0149]/[3760] Speed: 96.786498 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lr=0.081568 Epoch[027] Batch [2549]/[3760] Speed: 96.506176 samples/sec accuracy=31.901961 loss=3.100798 lr=0.081607 Epoch[027] Batch [2599]/[3760] Speed: 96.104801 samples/sec accuracy=31.880409 loss=3.102286 lr=0.081645 Epoch[027] Batch [2649]/[3760] Speed: 96.666668 samples/sec accuracy=31.876179 loss=3.101378 lr=0.081684 Epoch[027] Batch [2699]/[3760] Speed: 96.249187 samples/sec accuracy=31.890625 loss=3.101058 lr=0.081723 Epoch[027] Batch [2749]/[3760] Speed: 97.052207 samples/sec accuracy=31.881818 loss=3.102208 lr=0.081762 Epoch[027] Batch [2799]/[3760] Speed: 96.825959 samples/sec accuracy=31.901228 loss=3.101471 lr=0.081800 Epoch[027] Batch [2849]/[3760] Speed: 95.188260 samples/sec accuracy=31.896382 loss=3.102414 lr=0.081839 Epoch[027] Batch [2899]/[3760] Speed: 96.885983 samples/sec accuracy=31.890086 loss=3.102675 lr=0.081878 Epoch[027] Batch [2949]/[3760] Speed: 96.670897 samples/sec accuracy=31.850106 loss=3.104274 lr=0.081917 Epoch[027] Batch [2999]/[3760] Speed: 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lr=0.082304 Epoch[027] Batch [3499]/[3760] Speed: 97.303750 samples/sec accuracy=31.834821 loss=3.107828 lr=0.082343 Epoch[027] Batch [3549]/[3760] Speed: 96.519401 samples/sec accuracy=31.835387 loss=3.107913 lr=0.082381 Epoch[027] Batch [3599]/[3760] Speed: 95.971809 samples/sec accuracy=31.842448 loss=3.107428 lr=0.082420 Epoch[027] Batch [3649]/[3760] Speed: 96.902615 samples/sec accuracy=31.833904 loss=3.107821 lr=0.082459 Epoch[027] Batch [3699]/[3760] Speed: 96.414747 samples/sec accuracy=31.831926 loss=3.107388 lr=0.082498 Epoch[027] Batch [3749]/[3760] Speed: 110.062556 samples/sec accuracy=31.818333 loss=3.107798 lr=0.082536 Batch [0049]/[0303]: acc-top1=34.531250 acc-top5=59.843750 Batch [0099]/[0303]: acc-top1=30.578125 acc-top5=56.921875 Batch [0149]/[0303]: acc-top1=31.854167 acc-top5=57.822917 Batch [0199]/[0303]: acc-top1=33.796875 acc-top5=59.718750 Batch [0249]/[0303]: acc-top1=33.175000 acc-top5=59.575000 Batch [0299]/[0303]: acc-top1=32.218750 acc-top5=59.088542 [Epoch 027] training: accuracy=31.822224 loss=3.107670 [Epoch 027] speed: 95 samples/sec time cost: 2708.920015 [Epoch 027] validation: acc-top1=32.250413 acc-top5=59.117162 loss=3.188763 Epoch[028] Batch [0049]/[3760] Speed: 66.085163 samples/sec accuracy=30.437500 loss=3.136738 lr=0.082583 Epoch[028] Batch [0099]/[3760] Speed: 93.260754 samples/sec accuracy=30.703125 loss=3.126161 lr=0.082621 Epoch[028] Batch [0149]/[3760] Speed: 96.582928 samples/sec accuracy=30.458333 loss=3.135911 lr=0.082660 Epoch[028] Batch [0199]/[3760] Speed: 94.504567 samples/sec accuracy=30.953125 loss=3.115283 lr=0.082699 Epoch[028] Batch [0249]/[3760] Speed: 96.152846 samples/sec accuracy=30.931250 loss=3.119663 lr=0.082738 Epoch[028] Batch [0299]/[3760] Speed: 95.524557 samples/sec accuracy=31.072917 loss=3.112464 lr=0.082776 Epoch[028] Batch [0349]/[3760] Speed: 96.203889 samples/sec accuracy=31.379464 loss=3.099340 lr=0.082815 Epoch[028] Batch [0399]/[3760] Speed: 96.342528 samples/sec accuracy=31.437500 loss=3.096944 lr=0.082854 Epoch[028] Batch [0449]/[3760] Speed: 94.943969 samples/sec accuracy=31.486111 loss=3.093806 lr=0.082893 Epoch[028] Batch [0499]/[3760] Speed: 97.269192 samples/sec accuracy=31.371875 loss=3.098891 lr=0.082931 Epoch[028] Batch [0549]/[3760] Speed: 95.497737 samples/sec accuracy=31.389205 loss=3.102124 lr=0.082970 Epoch[028] Batch [0599]/[3760] Speed: 96.047669 samples/sec accuracy=31.354167 loss=3.103146 lr=0.083009 Epoch[028] Batch [0649]/[3760] Speed: 96.470704 samples/sec accuracy=31.423077 loss=3.095714 lr=0.083047 Epoch[028] Batch [0699]/[3760] Speed: 95.855497 samples/sec accuracy=31.424107 loss=3.094726 lr=0.083086 Epoch[028] Batch [0749]/[3760] Speed: 97.099386 samples/sec accuracy=31.425000 loss=3.095630 lr=0.083125 Epoch[028] Batch [0799]/[3760] Speed: 95.449131 samples/sec accuracy=31.466797 loss=3.097765 lr=0.083164 Epoch[028] Batch [0849]/[3760] Speed: 97.228884 samples/sec accuracy=31.444853 loss=3.101806 lr=0.083202 Epoch[028] 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accuracy=31.569444 loss=3.096941 lr=0.083590 Epoch[028] Batch [1399]/[3760] Speed: 97.557366 samples/sec accuracy=31.597098 loss=3.097139 lr=0.083628 Epoch[028] Batch [1449]/[3760] Speed: 95.294858 samples/sec accuracy=31.605603 loss=3.098696 lr=0.083667 Epoch[028] Batch [1499]/[3760] Speed: 96.606471 samples/sec accuracy=31.607292 loss=3.099475 lr=0.083706 Epoch[028] Batch [1549]/[3760] Speed: 96.361209 samples/sec accuracy=31.638105 loss=3.099273 lr=0.083745 Epoch[028] Batch [1599]/[3760] Speed: 95.816403 samples/sec accuracy=31.615234 loss=3.101280 lr=0.083783 Epoch[028] Batch [1649]/[3760] Speed: 97.013712 samples/sec accuracy=31.641098 loss=3.101850 lr=0.083822 Epoch[028] Batch [1699]/[3760] Speed: 96.093432 samples/sec accuracy=31.636029 loss=3.103488 lr=0.083861 Epoch[028] Batch [1749]/[3760] Speed: 96.732941 samples/sec accuracy=31.591071 loss=3.104922 lr=0.083900 Epoch[028] Batch [1799]/[3760] Speed: 95.505927 samples/sec accuracy=31.597222 loss=3.105721 lr=0.083938 Epoch[028] Batch [1849]/[3760] Speed: 94.453581 samples/sec accuracy=31.650338 loss=3.103383 lr=0.083977 Epoch[028] Batch [1899]/[3760] Speed: 97.598890 samples/sec accuracy=31.683388 loss=3.103071 lr=0.084016 Epoch[028] Batch [1949]/[3760] Speed: 95.838674 samples/sec accuracy=31.647436 loss=3.104733 lr=0.084054 Epoch[028] Batch [1999]/[3760] Speed: 96.403681 samples/sec accuracy=31.620312 loss=3.105912 lr=0.084093 Epoch[028] Batch [2049]/[3760] Speed: 95.834909 samples/sec accuracy=31.602134 loss=3.107004 lr=0.084132 Epoch[028] Batch [2099]/[3760] Speed: 96.429561 samples/sec accuracy=31.581101 loss=3.108253 lr=0.084171 Epoch[028] Batch [2149]/[3760] Speed: 95.707439 samples/sec accuracy=31.590116 loss=3.108226 lr=0.084209 Epoch[028] Batch [2199]/[3760] Speed: 96.143595 samples/sec accuracy=31.609375 loss=3.108497 lr=0.084248 Epoch[028] Batch [2249]/[3760] Speed: 95.358232 samples/sec accuracy=31.627778 loss=3.107479 lr=0.084287 Epoch[028] Batch [2299]/[3760] Speed: 95.911644 samples/sec accuracy=31.609375 loss=3.109732 lr=0.084326 Epoch[028] Batch [2349]/[3760] Speed: 96.057132 samples/sec accuracy=31.622340 loss=3.109348 lr=0.084364 Epoch[028] Batch [2399]/[3760] Speed: 96.078166 samples/sec accuracy=31.626953 loss=3.109226 lr=0.084403 Epoch[028] Batch [2449]/[3760] Speed: 96.180441 samples/sec accuracy=31.630102 loss=3.109491 lr=0.084442 Epoch[028] Batch [2499]/[3760] Speed: 96.092585 samples/sec accuracy=31.613125 loss=3.109868 lr=0.084481 Epoch[028] Batch [2549]/[3760] Speed: 95.686327 samples/sec accuracy=31.595588 loss=3.109658 lr=0.084519 Epoch[028] Batch [2599]/[3760] Speed: 95.606512 samples/sec accuracy=31.620192 loss=3.108069 lr=0.084558 Epoch[028] Batch [2649]/[3760] Speed: 95.986431 samples/sec accuracy=31.624410 loss=3.108834 lr=0.084597 Epoch[028] Batch [2699]/[3760] Speed: 96.125947 samples/sec accuracy=31.625000 loss=3.108541 lr=0.084635 Epoch[028] Batch [2749]/[3760] Speed: 95.727484 samples/sec accuracy=31.638636 loss=3.108525 lr=0.084674 Epoch[028] Batch [2799]/[3760] Speed: 96.137585 samples/sec accuracy=31.635045 loss=3.109101 lr=0.084713 Epoch[028] Batch [2849]/[3760] Speed: 96.794927 samples/sec accuracy=31.642544 loss=3.108411 lr=0.084752 Epoch[028] Batch [2899]/[3760] Speed: 95.136309 samples/sec accuracy=31.630927 loss=3.109351 lr=0.084790 Epoch[028] Batch [2949]/[3760] Speed: 95.934315 samples/sec accuracy=31.621822 loss=3.110992 lr=0.084829 Epoch[028] Batch [2999]/[3760] Speed: 95.952378 samples/sec accuracy=31.626562 loss=3.110893 lr=0.084868 Epoch[028] Batch [3049]/[3760] Speed: 96.058516 samples/sec accuracy=31.621926 loss=3.110726 lr=0.084907 Epoch[028] Batch [3099]/[3760] Speed: 95.657341 samples/sec accuracy=31.639617 loss=3.110912 lr=0.084945 Epoch[028] Batch [3149]/[3760] Speed: 95.560568 samples/sec accuracy=31.619544 loss=3.111448 lr=0.084984 Epoch[028] Batch [3199]/[3760] Speed: 96.988035 samples/sec accuracy=31.611816 loss=3.112049 lr=0.085023 Epoch[028] Batch [3249]/[3760] Speed: 95.648888 samples/sec accuracy=31.593269 loss=3.113353 lr=0.085061 Epoch[028] Batch [3299]/[3760] Speed: 96.534601 samples/sec accuracy=31.585227 loss=3.113903 lr=0.085100 Epoch[028] Batch [3349]/[3760] Speed: 95.783121 samples/sec accuracy=31.579291 loss=3.114270 lr=0.085139 Epoch[028] Batch [3399]/[3760] Speed: 95.960945 samples/sec accuracy=31.592831 loss=3.113435 lr=0.085178 Epoch[028] Batch [3449]/[3760] Speed: 97.263678 samples/sec accuracy=31.599185 loss=3.113479 lr=0.085216 Epoch[028] Batch [3499]/[3760] Speed: 94.915889 samples/sec accuracy=31.605804 loss=3.112763 lr=0.085255 Epoch[028] Batch [3549]/[3760] Speed: 97.304510 samples/sec accuracy=31.604754 loss=3.112036 lr=0.085294 Epoch[028] Batch [3599]/[3760] Speed: 95.576734 samples/sec accuracy=31.631510 loss=3.111227 lr=0.085333 Epoch[028] Batch [3649]/[3760] Speed: 96.647810 samples/sec accuracy=31.643408 loss=3.110191 lr=0.085371 Epoch[028] Batch [3699]/[3760] Speed: 95.982337 samples/sec accuracy=31.629223 loss=3.110857 lr=0.085410 Epoch[028] Batch [3749]/[3760] Speed: 108.078923 samples/sec accuracy=31.629583 loss=3.110586 lr=0.085449 Batch [0049]/[0303]: acc-top1=28.562500 acc-top5=55.468750 Batch [0099]/[0303]: acc-top1=27.187500 acc-top5=54.312500 Batch [0149]/[0303]: acc-top1=28.250000 acc-top5=54.958333 Batch [0199]/[0303]: acc-top1=30.601562 acc-top5=56.304687 Batch [0249]/[0303]: acc-top1=30.325000 acc-top5=56.362500 Batch [0299]/[0303]: acc-top1=29.786458 acc-top5=56.333333 [Epoch 028] training: accuracy=31.626496 loss=3.110842 [Epoch 028] speed: 95 samples/sec time cost: 2717.183733 [Epoch 028] validation: acc-top1=29.759695 acc-top5=56.404703 loss=3.443503 Epoch[029] Batch [0049]/[3759] Speed: 66.412003 samples/sec accuracy=32.843750 loss=3.074152 lr=0.085495 Epoch[029] Batch [0099]/[3759] Speed: 93.141842 samples/sec accuracy=32.828125 loss=3.074326 lr=0.085534 Epoch[029] Batch [0149]/[3759] Speed: 95.672558 samples/sec accuracy=32.937500 loss=3.054270 lr=0.085573 Epoch[029] Batch [0199]/[3759] Speed: 95.404043 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lr=0.086696 Epoch[029] Batch [1649]/[3759] Speed: 95.176291 samples/sec accuracy=31.902462 loss=3.097322 lr=0.086735 Epoch[029] Batch [1699]/[3759] Speed: 95.034437 samples/sec accuracy=31.873162 loss=3.099772 lr=0.086773 Epoch[029] Batch [1749]/[3759] Speed: 96.683630 samples/sec accuracy=31.874107 loss=3.100304 lr=0.086812 Epoch[029] Batch [1799]/[3759] Speed: 95.715198 samples/sec accuracy=31.891493 loss=3.100370 lr=0.086851 Epoch[029] Batch [1849]/[3759] Speed: 96.612277 samples/sec accuracy=31.864020 loss=3.101370 lr=0.086890 Epoch[029] Batch [1899]/[3759] Speed: 95.835147 samples/sec accuracy=31.820724 loss=3.102204 lr=0.086928 Epoch[029] Batch [1949]/[3759] Speed: 96.376059 samples/sec accuracy=31.844551 loss=3.102261 lr=0.086967 Epoch[029] Batch [1999]/[3759] Speed: 95.885532 samples/sec accuracy=31.814063 loss=3.104255 lr=0.087006 Epoch[029] Batch [2049]/[3759] Speed: 94.660968 samples/sec accuracy=31.830793 loss=3.104346 lr=0.087045 Epoch[029] Batch [2099]/[3759] Speed: 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lr=0.087432 Epoch[029] Batch [2599]/[3759] Speed: 95.373568 samples/sec accuracy=31.747596 loss=3.108670 lr=0.087471 Epoch[029] Batch [2649]/[3759] Speed: 96.312091 samples/sec accuracy=31.734080 loss=3.108993 lr=0.087509 Epoch[029] Batch [2699]/[3759] Speed: 96.072498 samples/sec accuracy=31.728009 loss=3.109991 lr=0.087548 Epoch[029] Batch [2749]/[3759] Speed: 96.771461 samples/sec accuracy=31.743182 loss=3.110340 lr=0.087587 Epoch[029] Batch [2799]/[3759] Speed: 95.808151 samples/sec accuracy=31.727679 loss=3.111288 lr=0.087625 Epoch[029] Batch [2849]/[3759] Speed: 94.822366 samples/sec accuracy=31.704496 loss=3.111631 lr=0.087664 Epoch[029] Batch [2899]/[3759] Speed: 95.768814 samples/sec accuracy=31.682112 loss=3.111600 lr=0.087703 Epoch[029] Batch [2949]/[3759] Speed: 95.692415 samples/sec accuracy=31.686441 loss=3.111849 lr=0.087742 Epoch[029] Batch [2999]/[3759] Speed: 96.377693 samples/sec accuracy=31.684896 loss=3.112135 lr=0.087780 Epoch[029] Batch [3049]/[3759] Speed: 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lr=0.088168 Epoch[029] Batch [3549]/[3759] Speed: 94.951015 samples/sec accuracy=31.581866 loss=3.117297 lr=0.088206 Epoch[029] Batch [3599]/[3759] Speed: 96.447376 samples/sec accuracy=31.577257 loss=3.117450 lr=0.088245 Epoch[029] Batch [3649]/[3759] Speed: 95.321395 samples/sec accuracy=31.575342 loss=3.117256 lr=0.088284 Epoch[029] Batch [3699]/[3759] Speed: 96.835993 samples/sec accuracy=31.569257 loss=3.116925 lr=0.088323 Epoch[029] Batch [3749]/[3759] Speed: 109.876401 samples/sec accuracy=31.576667 loss=3.117087 lr=0.088361 Batch [0049]/[0303]: acc-top1=29.718750 acc-top5=55.656250 Batch [0099]/[0303]: acc-top1=27.750000 acc-top5=54.062500 Batch [0149]/[0303]: acc-top1=28.718750 acc-top5=54.031250 Batch [0199]/[0303]: acc-top1=31.773438 acc-top5=57.273438 Batch [0249]/[0303]: acc-top1=31.075000 acc-top5=57.150000 Batch [0299]/[0303]: acc-top1=30.041667 acc-top5=56.781250 [Epoch 029] training: accuracy=31.580041 loss=3.116952 [Epoch 029] speed: 95 samples/sec time cost: 2721.904807 [Epoch 029] validation: acc-top1=29.991749 acc-top5=56.719266 loss=3.477429 Epoch[030] Batch [0049]/[3760] Speed: 66.803454 samples/sec accuracy=33.125000 loss=3.062279 lr=0.088407 Epoch[030] Batch [0099]/[3760] Speed: 92.304905 samples/sec accuracy=32.859375 loss=3.073531 lr=0.088446 Epoch[030] Batch [0149]/[3760] Speed: 97.545151 samples/sec accuracy=32.520833 loss=3.067826 lr=0.088485 Epoch[030] Batch [0199]/[3760] Speed: 95.123968 samples/sec accuracy=31.906250 loss=3.100245 lr=0.088523 Epoch[030] Batch [0249]/[3760] Speed: 95.860485 samples/sec accuracy=32.012500 loss=3.091250 lr=0.088562 Epoch[030] Batch [0299]/[3760] Speed: 94.967077 samples/sec accuracy=31.973958 loss=3.093313 lr=0.088601 Epoch[030] Batch [0349]/[3760] Speed: 95.152497 samples/sec accuracy=31.866071 loss=3.093951 lr=0.088639 Epoch[030] Batch [0399]/[3760] Speed: 96.543106 samples/sec accuracy=31.996094 loss=3.095358 lr=0.088678 Epoch[030] Batch [0449]/[3760] Speed: 95.548329 samples/sec accuracy=31.944444 loss=3.100303 lr=0.088717 Epoch[030] Batch [0499]/[3760] Speed: 96.013823 samples/sec accuracy=31.950000 loss=3.094229 lr=0.088756 Epoch[030] Batch [0549]/[3760] Speed: 94.832998 samples/sec accuracy=31.798295 loss=3.099123 lr=0.088794 Epoch[030] Batch [0599]/[3760] Speed: 95.487895 samples/sec accuracy=31.695312 loss=3.103285 lr=0.088833 Epoch[030] Batch [0649]/[3760] Speed: 95.991582 samples/sec accuracy=31.682692 loss=3.102821 lr=0.088872 Epoch[030] Batch [0699]/[3760] Speed: 95.426440 samples/sec accuracy=31.741071 loss=3.102464 lr=0.088911 Epoch[030] Batch [0749]/[3760] Speed: 96.322620 samples/sec accuracy=31.827083 loss=3.096460 lr=0.088949 Epoch[030] Batch [0799]/[3760] Speed: 94.818313 samples/sec accuracy=31.800781 loss=3.096796 lr=0.088988 Epoch[030] Batch [0849]/[3760] Speed: 95.298278 samples/sec accuracy=31.805147 loss=3.098297 lr=0.089027 Epoch[030] Batch [0899]/[3760] Speed: 96.031876 samples/sec accuracy=31.812500 loss=3.097669 lr=0.089065 Epoch[030] 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accuracy=31.744420 loss=3.102065 lr=0.089453 Epoch[030] Batch [1449]/[3760] Speed: 96.937735 samples/sec accuracy=31.696121 loss=3.103201 lr=0.089492 Epoch[030] Batch [1499]/[3760] Speed: 96.817307 samples/sec accuracy=31.661458 loss=3.105094 lr=0.089530 Epoch[030] Batch [1549]/[3760] Speed: 95.441893 samples/sec accuracy=31.644153 loss=3.105273 lr=0.089569 Epoch[030] Batch [1599]/[3760] Speed: 95.106235 samples/sec accuracy=31.626953 loss=3.105878 lr=0.089608 Epoch[030] Batch [1649]/[3760] Speed: 94.832079 samples/sec accuracy=31.631629 loss=3.104904 lr=0.089646 Epoch[030] Batch [1699]/[3760] Speed: 96.373741 samples/sec accuracy=31.621324 loss=3.106089 lr=0.089685 Epoch[030] Batch [1749]/[3760] Speed: 95.721268 samples/sec accuracy=31.608036 loss=3.106758 lr=0.089724 Epoch[030] Batch [1799]/[3760] Speed: 95.503738 samples/sec accuracy=31.669271 loss=3.105977 lr=0.089763 Epoch[030] Batch [1849]/[3760] Speed: 95.864365 samples/sec accuracy=31.684966 loss=3.106860 lr=0.089801 Epoch[030] 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accuracy=31.654255 loss=3.109507 lr=0.090189 Epoch[030] Batch [2399]/[3760] Speed: 95.186708 samples/sec accuracy=31.627604 loss=3.111212 lr=0.090227 Epoch[030] Batch [2449]/[3760] Speed: 95.805163 samples/sec accuracy=31.633291 loss=3.110682 lr=0.090266 Epoch[030] Batch [2499]/[3760] Speed: 95.468647 samples/sec accuracy=31.628750 loss=3.111496 lr=0.090305 Epoch[030] Batch [2549]/[3760] Speed: 95.392040 samples/sec accuracy=31.651961 loss=3.111011 lr=0.090344 Epoch[030] Batch [2599]/[3760] Speed: 95.570942 samples/sec accuracy=31.675481 loss=3.110563 lr=0.090382 Epoch[030] Batch [2649]/[3760] Speed: 95.509071 samples/sec accuracy=31.675118 loss=3.110342 lr=0.090421 Epoch[030] Batch [2699]/[3760] Speed: 95.716017 samples/sec accuracy=31.683449 loss=3.109935 lr=0.090460 Epoch[030] Batch [2749]/[3760] Speed: 96.379269 samples/sec accuracy=31.661364 loss=3.110690 lr=0.090499 Epoch[030] Batch [2799]/[3760] Speed: 95.754133 samples/sec accuracy=31.658482 loss=3.111080 lr=0.090537 Epoch[030] 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accuracy=31.627367 loss=3.113128 lr=0.090925 Epoch[030] Batch [3349]/[3760] Speed: 95.762912 samples/sec accuracy=31.619403 loss=3.112941 lr=0.090963 Epoch[030] Batch [3399]/[3760] Speed: 95.015069 samples/sec accuracy=31.604320 loss=3.113796 lr=0.091002 Epoch[030] Batch [3449]/[3760] Speed: 95.350523 samples/sec accuracy=31.583333 loss=3.115417 lr=0.091041 Epoch[030] Batch [3499]/[3760] Speed: 97.159974 samples/sec accuracy=31.576786 loss=3.116055 lr=0.091080 Epoch[030] Batch [3549]/[3760] Speed: 95.859682 samples/sec accuracy=31.570423 loss=3.116187 lr=0.091118 Epoch[030] Batch [3599]/[3760] Speed: 96.218186 samples/sec accuracy=31.580295 loss=3.116508 lr=0.091157 Epoch[030] Batch [3649]/[3760] Speed: 95.211885 samples/sec accuracy=31.574058 loss=3.116367 lr=0.091196 Epoch[030] Batch [3699]/[3760] Speed: 95.189128 samples/sec accuracy=31.591639 loss=3.116127 lr=0.091234 Epoch[030] Batch [3749]/[3760] Speed: 108.968092 samples/sec accuracy=31.582500 loss=3.116750 lr=0.091273 Batch [0049]/[0303]: acc-top1=28.406250 acc-top5=54.125000 Batch [0099]/[0303]: acc-top1=27.156250 acc-top5=53.921875 Batch [0149]/[0303]: acc-top1=29.229167 acc-top5=55.468750 Batch [0199]/[0303]: acc-top1=32.125000 acc-top5=58.398438 Batch [0249]/[0303]: acc-top1=31.656250 acc-top5=58.043750 Batch [0299]/[0303]: acc-top1=30.869792 acc-top5=58.015625 [Epoch 030] training: accuracy=31.575798 loss=3.116945 [Epoch 030] speed: 95 samples/sec time cost: 2724.518645 [Epoch 030] validation: acc-top1=30.842616 acc-top5=58.023927 loss=3.288941 Epoch[031] Batch [0049]/[3760] Speed: 65.551825 samples/sec accuracy=31.718750 loss=3.129860 lr=0.091320 Epoch[031] Batch [0099]/[3760] Speed: 93.310162 samples/sec accuracy=31.312500 loss=3.147100 lr=0.091358 Epoch[031] Batch [0149]/[3760] Speed: 96.374736 samples/sec accuracy=32.145833 loss=3.102508 lr=0.091397 Epoch[031] Batch [0199]/[3760] Speed: 93.794182 samples/sec accuracy=31.820312 loss=3.110814 lr=0.091436 Epoch[031] Batch [0249]/[3760] Speed: 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lr=0.091823 Epoch[031] Batch [0749]/[3760] Speed: 95.082101 samples/sec accuracy=31.885417 loss=3.110355 lr=0.091862 Epoch[031] Batch [0799]/[3760] Speed: 96.486759 samples/sec accuracy=31.857422 loss=3.112864 lr=0.091901 Epoch[031] Batch [0849]/[3760] Speed: 95.593520 samples/sec accuracy=31.770221 loss=3.117625 lr=0.091939 Epoch[031] Batch [0899]/[3760] Speed: 96.325469 samples/sec accuracy=31.845486 loss=3.114005 lr=0.091978 Epoch[031] Batch [0949]/[3760] Speed: 95.728482 samples/sec accuracy=31.906250 loss=3.110714 lr=0.092017 Epoch[031] Batch [0999]/[3760] Speed: 94.989562 samples/sec accuracy=31.873438 loss=3.110187 lr=0.092056 Epoch[031] Batch [1049]/[3760] Speed: 96.316556 samples/sec accuracy=31.815476 loss=3.113674 lr=0.092094 Epoch[031] Batch [1099]/[3760] Speed: 96.283632 samples/sec accuracy=31.767045 loss=3.114696 lr=0.092133 Epoch[031] Batch [1149]/[3760] Speed: 95.720862 samples/sec accuracy=31.762228 loss=3.115293 lr=0.092172 Epoch[031] Batch [1199]/[3760] Speed: 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lr=0.092559 Epoch[031] Batch [1699]/[3760] Speed: 95.701098 samples/sec accuracy=31.626838 loss=3.116913 lr=0.092598 Epoch[031] Batch [1749]/[3760] Speed: 97.007089 samples/sec accuracy=31.608929 loss=3.116648 lr=0.092636 Epoch[031] Batch [1799]/[3760] Speed: 95.913094 samples/sec accuracy=31.585938 loss=3.118438 lr=0.092675 Epoch[031] Batch [1849]/[3760] Speed: 95.276777 samples/sec accuracy=31.563345 loss=3.119272 lr=0.092714 Epoch[031] Batch [1899]/[3760] Speed: 96.224782 samples/sec accuracy=31.562500 loss=3.119718 lr=0.092753 Epoch[031] Batch [1949]/[3760] Speed: 96.390618 samples/sec accuracy=31.533654 loss=3.120875 lr=0.092791 Epoch[031] Batch [1999]/[3760] Speed: 96.031827 samples/sec accuracy=31.552344 loss=3.120652 lr=0.092830 Epoch[031] Batch [2049]/[3760] Speed: 95.481074 samples/sec accuracy=31.586128 loss=3.118774 lr=0.092869 Epoch[031] Batch [2099]/[3760] Speed: 95.703279 samples/sec accuracy=31.570685 loss=3.119150 lr=0.092908 Epoch[031] Batch [2149]/[3760] Speed: 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lr=0.093295 Epoch[031] Batch [2649]/[3760] Speed: 96.741386 samples/sec accuracy=31.563679 loss=3.120255 lr=0.093334 Epoch[031] Batch [2699]/[3760] Speed: 96.217529 samples/sec accuracy=31.552083 loss=3.120634 lr=0.093372 Epoch[031] Batch [2749]/[3760] Speed: 95.884688 samples/sec accuracy=31.552841 loss=3.120915 lr=0.093411 Epoch[031] Batch [2799]/[3760] Speed: 96.235009 samples/sec accuracy=31.551339 loss=3.121052 lr=0.093450 Epoch[031] Batch [2849]/[3760] Speed: 96.492574 samples/sec accuracy=31.543860 loss=3.121514 lr=0.093489 Epoch[031] Batch [2899]/[3760] Speed: 96.323582 samples/sec accuracy=31.533944 loss=3.121402 lr=0.093527 Epoch[031] Batch [2949]/[3760] Speed: 95.824380 samples/sec accuracy=31.516949 loss=3.122028 lr=0.093566 Epoch[031] Batch [2999]/[3760] Speed: 96.107888 samples/sec accuracy=31.509896 loss=3.122053 lr=0.093605 Epoch[031] Batch [3049]/[3760] Speed: 96.482987 samples/sec accuracy=31.515881 loss=3.122386 lr=0.093643 Epoch[031] Batch [3099]/[3760] Speed: 96.071259 samples/sec accuracy=31.500000 loss=3.123386 lr=0.093682 Epoch[031] Batch [3149]/[3760] Speed: 95.922696 samples/sec accuracy=31.503472 loss=3.123191 lr=0.093721 Epoch[031] Batch [3199]/[3760] Speed: 95.601012 samples/sec accuracy=31.513184 loss=3.123212 lr=0.093760 Epoch[031] Batch [3249]/[3760] Speed: 94.521727 samples/sec accuracy=31.506731 loss=3.123343 lr=0.093798 Epoch[031] Batch [3299]/[3760] Speed: 97.064362 samples/sec accuracy=31.498580 loss=3.123228 lr=0.093837 Epoch[031] Batch [3349]/[3760] Speed: 95.500567 samples/sec accuracy=31.495802 loss=3.123496 lr=0.093876 Epoch[031] Batch [3399]/[3760] Speed: 95.463014 samples/sec accuracy=31.486213 loss=3.123903 lr=0.093915 Epoch[031] Batch [3449]/[3760] Speed: 96.326241 samples/sec accuracy=31.487772 loss=3.124402 lr=0.093953 Epoch[031] Batch [3499]/[3760] Speed: 95.132146 samples/sec accuracy=31.495536 loss=3.124587 lr=0.093992 Epoch[031] Batch [3549]/[3760] Speed: 95.954765 samples/sec accuracy=31.507923 loss=3.124246 lr=0.094031 Epoch[031] Batch [3599]/[3760] Speed: 96.407510 samples/sec accuracy=31.509983 loss=3.124393 lr=0.094070 Epoch[031] Batch [3649]/[3760] Speed: 95.117208 samples/sec accuracy=31.502997 loss=3.124621 lr=0.094108 Epoch[031] Batch [3699]/[3760] Speed: 95.523162 samples/sec accuracy=31.501689 loss=3.124449 lr=0.094147 Epoch[031] Batch [3749]/[3760] Speed: 109.042474 samples/sec accuracy=31.469167 loss=3.125321 lr=0.094186 Batch [0049]/[0303]: acc-top1=30.437500 acc-top5=56.968750 Batch [0099]/[0303]: acc-top1=28.859375 acc-top5=54.296875 Batch [0149]/[0303]: acc-top1=29.677083 acc-top5=55.500000 Batch [0199]/[0303]: acc-top1=32.398438 acc-top5=57.921875 Batch [0249]/[0303]: acc-top1=32.018750 acc-top5=57.781250 Batch [0299]/[0303]: acc-top1=31.333333 acc-top5=57.718750 [Epoch 031] training: accuracy=31.466090 loss=3.125528 [Epoch 031] speed: 95 samples/sec time cost: 2720.265779 [Epoch 031] validation: acc-top1=31.270627 acc-top5=57.724835 loss=3.318578 Epoch[032] Batch 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accuracy=31.359375 loss=3.115675 lr=0.094581 Epoch[032] Batch [0549]/[3759] Speed: 96.342745 samples/sec accuracy=31.400568 loss=3.115394 lr=0.094620 Epoch[032] Batch [0599]/[3759] Speed: 95.810762 samples/sec accuracy=31.447917 loss=3.114613 lr=0.094658 Epoch[032] Batch [0649]/[3759] Speed: 96.384125 samples/sec accuracy=31.425481 loss=3.116303 lr=0.094697 Epoch[032] Batch [0699]/[3759] Speed: 95.551385 samples/sec accuracy=31.408482 loss=3.120569 lr=0.094736 Epoch[032] Batch [0749]/[3759] Speed: 96.463068 samples/sec accuracy=31.387500 loss=3.122746 lr=0.094774 Epoch[032] Batch [0799]/[3759] Speed: 95.333330 samples/sec accuracy=31.472656 loss=3.118317 lr=0.094813 Epoch[032] Batch [0849]/[3759] Speed: 96.369898 samples/sec accuracy=31.444853 loss=3.118319 lr=0.094852 Epoch[032] Batch [0899]/[3759] Speed: 95.890640 samples/sec accuracy=31.442708 loss=3.120110 lr=0.094891 Epoch[032] Batch [0949]/[3759] Speed: 95.003428 samples/sec accuracy=31.427632 loss=3.120465 lr=0.094929 Epoch[032] 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accuracy=31.437500 loss=3.120471 lr=0.095317 Epoch[032] Batch [1499]/[3759] Speed: 94.534034 samples/sec accuracy=31.367708 loss=3.122271 lr=0.095355 Epoch[032] Batch [1549]/[3759] Speed: 95.273920 samples/sec accuracy=31.389113 loss=3.120161 lr=0.095394 Epoch[032] Batch [1599]/[3759] Speed: 94.745932 samples/sec accuracy=31.432617 loss=3.120084 lr=0.095433 Epoch[032] Batch [1649]/[3759] Speed: 95.060846 samples/sec accuracy=31.416667 loss=3.122957 lr=0.095472 Epoch[032] Batch [1699]/[3759] Speed: 96.918524 samples/sec accuracy=31.440257 loss=3.121784 lr=0.095510 Epoch[032] Batch [1749]/[3759] Speed: 95.770019 samples/sec accuracy=31.423214 loss=3.123818 lr=0.095549 Epoch[032] Batch [1799]/[3759] Speed: 95.279243 samples/sec accuracy=31.401042 loss=3.126257 lr=0.095588 Epoch[032] Batch [1849]/[3759] Speed: 95.205200 samples/sec accuracy=31.436655 loss=3.125983 lr=0.095627 Epoch[032] Batch [1899]/[3759] Speed: 95.619471 samples/sec accuracy=31.425164 loss=3.124872 lr=0.095665 Epoch[032] 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accuracy=31.483724 loss=3.127463 lr=0.096053 Epoch[032] Batch [2449]/[3759] Speed: 95.863514 samples/sec accuracy=31.508929 loss=3.127325 lr=0.096091 Epoch[032] Batch [2499]/[3759] Speed: 95.511853 samples/sec accuracy=31.525000 loss=3.126666 lr=0.096130 Epoch[032] Batch [2549]/[3759] Speed: 96.393665 samples/sec accuracy=31.523284 loss=3.127716 lr=0.096169 Epoch[032] Batch [2599]/[3759] Speed: 94.643925 samples/sec accuracy=31.502404 loss=3.127056 lr=0.096207 Epoch[032] Batch [2649]/[3759] Speed: 95.822519 samples/sec accuracy=31.490566 loss=3.127281 lr=0.096246 Epoch[032] Batch [2699]/[3759] Speed: 95.117043 samples/sec accuracy=31.480903 loss=3.127680 lr=0.096285 Epoch[032] Batch [2749]/[3759] Speed: 95.920818 samples/sec accuracy=31.495455 loss=3.126712 lr=0.096324 Epoch[032] Batch [2799]/[3759] Speed: 96.266301 samples/sec accuracy=31.483259 loss=3.127029 lr=0.096362 Epoch[032] Batch [2849]/[3759] Speed: 95.409981 samples/sec accuracy=31.478070 loss=3.126520 lr=0.096401 Epoch[032] 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accuracy=31.392257 loss=3.131234 lr=0.096788 Epoch[032] Batch [3399]/[3759] Speed: 95.459389 samples/sec accuracy=31.399357 loss=3.131103 lr=0.096827 Epoch[032] Batch [3449]/[3759] Speed: 95.527243 samples/sec accuracy=31.403986 loss=3.131498 lr=0.096866 Epoch[032] Batch [3499]/[3759] Speed: 94.555800 samples/sec accuracy=31.379018 loss=3.133012 lr=0.096905 Epoch[032] Batch [3549]/[3759] Speed: 95.836723 samples/sec accuracy=31.378081 loss=3.133639 lr=0.096943 Epoch[032] Batch [3599]/[3759] Speed: 96.062383 samples/sec accuracy=31.372396 loss=3.133954 lr=0.096982 Epoch[032] Batch [3649]/[3759] Speed: 94.964688 samples/sec accuracy=31.360873 loss=3.133524 lr=0.097021 Epoch[032] Batch [3699]/[3759] Speed: 95.323215 samples/sec accuracy=31.338260 loss=3.134595 lr=0.097060 Epoch[032] Batch [3749]/[3759] Speed: 109.804372 samples/sec accuracy=31.347917 loss=3.134183 lr=0.097098 Batch [0049]/[0303]: acc-top1=31.156250 acc-top5=56.937500 Batch [0099]/[0303]: acc-top1=29.281250 acc-top5=54.578125 Batch [0149]/[0303]: acc-top1=29.718750 acc-top5=55.583333 Batch [0199]/[0303]: acc-top1=32.093750 acc-top5=57.492188 Batch [0249]/[0303]: acc-top1=31.643750 acc-top5=57.206250 Batch [0299]/[0303]: acc-top1=30.546875 acc-top5=57.239583 [Epoch 032] training: accuracy=31.348929 loss=3.134032 [Epoch 032] speed: 95 samples/sec time cost: 2726.794711 [Epoch 032] validation: acc-top1=30.507426 acc-top5=57.224629 loss=3.375642 Epoch[033] Batch [0049]/[3760] Speed: 66.622178 samples/sec accuracy=32.437500 loss=3.093393 lr=0.097144 Epoch[033] Batch [0099]/[3760] Speed: 93.951591 samples/sec accuracy=32.515625 loss=3.054416 lr=0.097183 Epoch[033] Batch [0149]/[3760] Speed: 96.675082 samples/sec accuracy=32.406250 loss=3.062862 lr=0.097221 Epoch[033] Batch [0199]/[3760] Speed: 94.040218 samples/sec accuracy=32.101562 loss=3.071604 lr=0.097260 Epoch[033] Batch [0249]/[3760] Speed: 96.873470 samples/sec accuracy=31.937500 loss=3.098128 lr=0.097299 Epoch[033] Batch [0299]/[3760] 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accuracy=31.466392 loss=3.134168 lr=0.099158 Epoch[033] Batch [2699]/[3760] Speed: 95.935094 samples/sec accuracy=31.461806 loss=3.134175 lr=0.099197 Epoch[033] Batch [2749]/[3760] Speed: 96.473830 samples/sec accuracy=31.439773 loss=3.135598 lr=0.099235 Epoch[033] Batch [2799]/[3760] Speed: 96.707373 samples/sec accuracy=31.442522 loss=3.135649 lr=0.099274 Epoch[033] Batch [2849]/[3760] Speed: 94.406067 samples/sec accuracy=31.434759 loss=3.135794 lr=0.099313 Epoch[033] Batch [2899]/[3760] Speed: 96.153599 samples/sec accuracy=31.406250 loss=3.136493 lr=0.099352 Epoch[033] Batch [2949]/[3760] Speed: 97.224498 samples/sec accuracy=31.415784 loss=3.136117 lr=0.099390 Epoch[033] Batch [2999]/[3760] Speed: 94.793505 samples/sec accuracy=31.423438 loss=3.136073 lr=0.099429 Epoch[033] Batch [3049]/[3760] Speed: 96.554709 samples/sec accuracy=31.396516 loss=3.135966 lr=0.099468 Epoch[033] Batch [3099]/[3760] Speed: 95.619053 samples/sec accuracy=31.387601 loss=3.136325 lr=0.099507 Epoch[033] 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accuracy=31.321181 loss=3.138319 lr=0.099894 Epoch[033] Batch [3649]/[3760] Speed: 94.691399 samples/sec accuracy=31.326199 loss=3.138184 lr=0.099933 Epoch[033] Batch [3699]/[3760] Speed: 97.430983 samples/sec accuracy=31.314189 loss=3.138706 lr=0.099971 Epoch[033] Batch [3749]/[3760] Speed: 109.439045 samples/sec accuracy=31.295833 loss=3.139735 lr=0.100000 Batch [0049]/[0303]: acc-top1=29.906250 acc-top5=55.875000 Batch [0099]/[0303]: acc-top1=28.562500 acc-top5=54.078125 Batch [0149]/[0303]: acc-top1=29.812500 acc-top5=55.604167 Batch [0199]/[0303]: acc-top1=32.507812 acc-top5=58.023438 Batch [0249]/[0303]: acc-top1=31.631250 acc-top5=57.612500 Batch [0299]/[0303]: acc-top1=31.020833 acc-top5=57.848958 [Epoch 033] training: accuracy=31.292387 loss=3.139620 [Epoch 033] speed: 95 samples/sec time cost: 2722.241735 [Epoch 033] validation: acc-top1=31.074670 acc-top5=57.915635 loss=3.334282 Epoch[034] Batch [0049]/[3759] Speed: 66.697033 samples/sec accuracy=31.656250 loss=3.122817 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acc-top1=31.054688 acc-top5=57.179688 Batch [0249]/[0303]: acc-top1=30.306250 acc-top5=56.875000 Batch [0299]/[0303]: acc-top1=29.786458 acc-top5=56.416667 [Epoch 034] training: accuracy=31.316091 loss=3.136589 [Epoch 034] speed: 95 samples/sec time cost: 2720.599489 [Epoch 034] validation: acc-top1=29.826733 acc-top5=56.502682 loss=3.298304 Epoch[035] Batch [0049]/[3760] Speed: 67.506982 samples/sec accuracy=30.406250 loss=3.204855 lr=0.099990 Epoch[035] Batch [0099]/[3760] Speed: 93.833679 samples/sec accuracy=30.937500 loss=3.132864 lr=0.099990 Epoch[035] Batch [0149]/[3760] Speed: 97.069391 samples/sec accuracy=31.250000 loss=3.132431 lr=0.099990 Epoch[035] Batch [0199]/[3760] Speed: 94.315168 samples/sec accuracy=31.640625 loss=3.124530 lr=0.099989 Epoch[035] Batch [0249]/[3760] Speed: 97.419878 samples/sec accuracy=31.618750 loss=3.127343 lr=0.099989 Epoch[035] Batch [0299]/[3760] Speed: 95.061791 samples/sec accuracy=31.791667 loss=3.114651 lr=0.099989 Epoch[035] Batch 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accuracy=31.308647 loss=3.135533 lr=0.099963 Epoch[035] Batch [3699]/[3760] Speed: 94.881786 samples/sec accuracy=31.305321 loss=3.135644 lr=0.099963 Epoch[035] Batch [3749]/[3760] Speed: 109.860314 samples/sec accuracy=31.318333 loss=3.135280 lr=0.099962 Batch [0049]/[0303]: acc-top1=31.781250 acc-top5=57.406250 Batch [0099]/[0303]: acc-top1=28.703125 acc-top5=54.812500 Batch [0149]/[0303]: acc-top1=30.145833 acc-top5=56.666667 Batch [0199]/[0303]: acc-top1=32.726562 acc-top5=58.601563 Batch [0249]/[0303]: acc-top1=32.156250 acc-top5=58.606250 Batch [0299]/[0303]: acc-top1=31.505208 acc-top5=58.375000 [Epoch 035] training: accuracy=31.318983 loss=3.135216 [Epoch 035] speed: 95 samples/sec time cost: 2720.042715 [Epoch 035] validation: acc-top1=31.461427 acc-top5=58.297236 loss=3.338404 Epoch[036] Batch [0049]/[3760] Speed: 65.811208 samples/sec accuracy=31.437500 loss=3.122148 lr=0.099962 Epoch[036] Batch [0099]/[3760] Speed: 92.843855 samples/sec accuracy=31.984375 loss=3.106252 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lr=0.099927 Epoch[036] Batch [2999]/[3760] Speed: 96.020654 samples/sec accuracy=31.562500 loss=3.128824 lr=0.099926 Epoch[036] Batch [3049]/[3760] Speed: 95.112177 samples/sec accuracy=31.577869 loss=3.128725 lr=0.099925 Epoch[036] Batch [3099]/[3760] Speed: 96.831564 samples/sec accuracy=31.573589 loss=3.127740 lr=0.099925 Epoch[036] Batch [3149]/[3760] Speed: 95.392903 samples/sec accuracy=31.574405 loss=3.128015 lr=0.099924 Epoch[036] Batch [3199]/[3760] Speed: 95.632926 samples/sec accuracy=31.565918 loss=3.128054 lr=0.099923 Epoch[036] Batch [3249]/[3760] Speed: 94.923265 samples/sec accuracy=31.560577 loss=3.127470 lr=0.099923 Epoch[036] Batch [3299]/[3760] Speed: 96.061208 samples/sec accuracy=31.564867 loss=3.127935 lr=0.099922 Epoch[036] Batch [3349]/[3760] Speed: 95.801230 samples/sec accuracy=31.589086 loss=3.127839 lr=0.099921 Epoch[036] Batch [3399]/[3760] Speed: 95.453474 samples/sec accuracy=31.554688 loss=3.128453 lr=0.099920 Epoch[036] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=32.625000 acc-top5=59.171875 [Epoch 036] training: accuracy=31.533411 loss=3.128954 [Epoch 036] speed: 95 samples/sec time cost: 2724.636734 [Epoch 036] validation: acc-top1=32.570132 acc-top5=59.179043 loss=3.211734 Epoch[037] Batch [0049]/[3759] Speed: 65.609155 samples/sec accuracy=30.937500 loss=3.110072 lr=0.099914 Epoch[037] Batch [0099]/[3759] Speed: 93.281921 samples/sec accuracy=30.640625 loss=3.127208 lr=0.099914 Epoch[037] Batch [0149]/[3759] Speed: 96.667748 samples/sec accuracy=31.218750 loss=3.119461 lr=0.099913 Epoch[037] Batch [0199]/[3759] Speed: 94.670597 samples/sec accuracy=31.406250 loss=3.114600 lr=0.099912 Epoch[037] Batch [0249]/[3759] Speed: 96.336584 samples/sec accuracy=31.550000 loss=3.122568 lr=0.099911 Epoch[037] Batch [0299]/[3759] Speed: 95.337235 samples/sec accuracy=31.380208 loss=3.131012 lr=0.099910 Epoch[037] Batch [0349]/[3759] Speed: 95.554728 samples/sec accuracy=31.477679 loss=3.128639 lr=0.099910 Epoch[037] Batch 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accuracy=31.610294 loss=3.120315 lr=0.099902 Epoch[037] Batch [0899]/[3759] Speed: 95.353194 samples/sec accuracy=31.623264 loss=3.119781 lr=0.099901 Epoch[037] Batch [0949]/[3759] Speed: 95.827496 samples/sec accuracy=31.532895 loss=3.122535 lr=0.099900 Epoch[037] Batch [0999]/[3759] Speed: 95.296501 samples/sec accuracy=31.587500 loss=3.120213 lr=0.099899 Epoch[037] Batch [1049]/[3759] Speed: 94.740227 samples/sec accuracy=31.565476 loss=3.119820 lr=0.099899 Epoch[037] Batch [1099]/[3759] Speed: 96.933809 samples/sec accuracy=31.634943 loss=3.118308 lr=0.099898 Epoch[037] Batch [1149]/[3759] Speed: 95.439539 samples/sec accuracy=31.644022 loss=3.116328 lr=0.099897 Epoch[037] Batch [1199]/[3759] Speed: 95.429721 samples/sec accuracy=31.653646 loss=3.119400 lr=0.099896 Epoch[037] Batch [1249]/[3759] Speed: 96.302086 samples/sec accuracy=31.640000 loss=3.119303 lr=0.099895 Epoch[037] Batch [1299]/[3759] Speed: 96.605421 samples/sec accuracy=31.615385 loss=3.120238 lr=0.099894 Epoch[037] 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accuracy=31.633681 loss=3.119164 lr=0.099886 Epoch[037] Batch [1849]/[3759] Speed: 95.617428 samples/sec accuracy=31.702703 loss=3.116220 lr=0.099885 Epoch[037] Batch [1899]/[3759] Speed: 94.978072 samples/sec accuracy=31.658717 loss=3.117501 lr=0.099884 Epoch[037] Batch [1949]/[3759] Speed: 96.893519 samples/sec accuracy=31.702724 loss=3.115636 lr=0.099883 Epoch[037] Batch [1999]/[3759] Speed: 95.256253 samples/sec accuracy=31.710156 loss=3.114691 lr=0.099882 Epoch[037] Batch [2049]/[3759] Speed: 96.078575 samples/sec accuracy=31.698933 loss=3.114315 lr=0.099881 Epoch[037] Batch [2099]/[3759] Speed: 96.404794 samples/sec accuracy=31.714286 loss=3.113882 lr=0.099881 Epoch[037] Batch [2149]/[3759] Speed: 95.126262 samples/sec accuracy=31.733285 loss=3.113553 lr=0.099880 Epoch[037] Batch [2199]/[3759] Speed: 95.774434 samples/sec accuracy=31.763494 loss=3.112205 lr=0.099879 Epoch[037] Batch [2249]/[3759] Speed: 94.720418 samples/sec accuracy=31.811806 loss=3.111144 lr=0.099878 Epoch[037] Batch [2299]/[3759] Speed: 97.066613 samples/sec accuracy=31.772418 loss=3.112236 lr=0.099877 Epoch[037] Batch [2349]/[3759] Speed: 95.070334 samples/sec accuracy=31.748005 loss=3.113374 lr=0.099876 Epoch[037] Batch [2399]/[3759] Speed: 95.784074 samples/sec accuracy=31.753255 loss=3.113513 lr=0.099875 Epoch[037] Batch [2449]/[3759] Speed: 96.575379 samples/sec accuracy=31.734694 loss=3.113893 lr=0.099874 Epoch[037] Batch [2499]/[3759] Speed: 94.355140 samples/sec accuracy=31.755625 loss=3.113847 lr=0.099873 Epoch[037] Batch [2549]/[3759] Speed: 96.673013 samples/sec accuracy=31.742034 loss=3.114218 lr=0.099872 Epoch[037] Batch [2599]/[3759] Speed: 95.121004 samples/sec accuracy=31.760817 loss=3.113893 lr=0.099871 Epoch[037] Batch [2649]/[3759] Speed: 95.435157 samples/sec accuracy=31.758255 loss=3.114635 lr=0.099871 Epoch[037] Batch [2699]/[3759] Speed: 96.160655 samples/sec accuracy=31.758102 loss=3.114789 lr=0.099870 Epoch[037] Batch [2749]/[3759] Speed: 95.806869 samples/sec accuracy=31.737500 loss=3.115199 lr=0.099869 Epoch[037] Batch [2799]/[3759] Speed: 95.566061 samples/sec accuracy=31.727679 loss=3.115719 lr=0.099868 Epoch[037] Batch [2849]/[3759] Speed: 95.170649 samples/sec accuracy=31.719846 loss=3.116470 lr=0.099867 Epoch[037] Batch [2899]/[3759] Speed: 96.859203 samples/sec accuracy=31.721983 loss=3.115331 lr=0.099866 Epoch[037] Batch [2949]/[3759] Speed: 95.524413 samples/sec accuracy=31.705508 loss=3.116517 lr=0.099865 Epoch[037] Batch [2999]/[3759] Speed: 96.128381 samples/sec accuracy=31.714583 loss=3.116328 lr=0.099864 Epoch[037] Batch [3049]/[3759] Speed: 95.353181 samples/sec accuracy=31.718750 loss=3.116401 lr=0.099863 Epoch[037] Batch [3099]/[3759] Speed: 95.825917 samples/sec accuracy=31.695060 loss=3.116477 lr=0.099862 Epoch[037] Batch [3149]/[3759] Speed: 96.359498 samples/sec accuracy=31.685516 loss=3.116936 lr=0.099861 Epoch[037] Batch [3199]/[3759] Speed: 95.235770 samples/sec accuracy=31.678711 loss=3.116957 lr=0.099860 Epoch[037] Batch [3249]/[3759] Speed: 97.184245 samples/sec accuracy=31.682212 loss=3.116410 lr=0.099859 Epoch[037] Batch [3299]/[3759] Speed: 95.654453 samples/sec accuracy=31.685606 loss=3.116470 lr=0.099858 Epoch[037] Batch [3349]/[3759] Speed: 96.064454 samples/sec accuracy=31.686101 loss=3.117142 lr=0.099857 Epoch[037] Batch [3399]/[3759] Speed: 95.437334 samples/sec accuracy=31.692555 loss=3.116278 lr=0.099856 Epoch[037] Batch [3449]/[3759] Speed: 94.409243 samples/sec accuracy=31.680707 loss=3.116793 lr=0.099855 Epoch[037] Batch [3499]/[3759] Speed: 95.880539 samples/sec accuracy=31.697768 loss=3.116840 lr=0.099854 Epoch[037] Batch [3549]/[3759] Speed: 95.820644 samples/sec accuracy=31.705106 loss=3.116822 lr=0.099853 Epoch[037] Batch [3599]/[3759] Speed: 95.433772 samples/sec accuracy=31.706163 loss=3.117078 lr=0.099852 Epoch[037] Batch [3649]/[3759] Speed: 96.272583 samples/sec accuracy=31.702483 loss=3.117316 lr=0.099851 Epoch[037] Batch [3699]/[3759] Speed: 95.549294 samples/sec accuracy=31.686655 loss=3.117642 lr=0.099850 Epoch[037] Batch [3749]/[3759] Speed: 109.188741 samples/sec accuracy=31.697083 loss=3.118228 lr=0.099849 Batch [0049]/[0303]: acc-top1=29.718750 acc-top5=56.125000 Batch [0099]/[0303]: acc-top1=28.984375 acc-top5=55.062500 Batch [0149]/[0303]: acc-top1=30.166667 acc-top5=56.760417 Batch [0199]/[0303]: acc-top1=32.664062 acc-top5=59.085938 Batch [0249]/[0303]: acc-top1=32.050000 acc-top5=59.031250 Batch [0299]/[0303]: acc-top1=31.807292 acc-top5=59.505208 [Epoch 037] training: accuracy=31.697676 loss=3.118256 [Epoch 037] speed: 95 samples/sec time cost: 2724.882402 [Epoch 037] validation: acc-top1=31.806931 acc-top5=59.472979 loss=3.278976 Epoch[038] Batch [0049]/[3760] Speed: 65.847514 samples/sec accuracy=33.031250 loss=3.027613 lr=0.099848 Epoch[038] Batch [0099]/[3760] Speed: 93.978454 samples/sec accuracy=32.531250 loss=3.085482 lr=0.099847 Epoch[038] Batch [0149]/[3760] Speed: 95.641168 samples/sec accuracy=32.604167 loss=3.088104 lr=0.099846 Epoch[038] Batch [0199]/[3760] Speed: 94.802860 samples/sec accuracy=32.742188 loss=3.081796 lr=0.099845 Epoch[038] Batch [0249]/[3760] Speed: 97.500954 samples/sec accuracy=32.500000 loss=3.090618 lr=0.099844 Epoch[038] Batch [0299]/[3760] Speed: 96.010819 samples/sec accuracy=32.385417 loss=3.089511 lr=0.099843 Epoch[038] Batch [0349]/[3760] Speed: 95.868911 samples/sec accuracy=32.424107 loss=3.091469 lr=0.099842 Epoch[038] Batch [0399]/[3760] Speed: 95.894020 samples/sec accuracy=32.160156 loss=3.089947 lr=0.099841 Epoch[038] Batch [0449]/[3760] Speed: 94.783696 samples/sec accuracy=32.048611 loss=3.093097 lr=0.099840 Epoch[038] Batch [0499]/[3760] Speed: 96.370126 samples/sec accuracy=32.200000 loss=3.087355 lr=0.099839 Epoch[038] Batch [0549]/[3760] Speed: 94.376172 samples/sec accuracy=32.119318 loss=3.089391 lr=0.099838 Epoch[038] Batch [0599]/[3760] Speed: 95.533150 samples/sec accuracy=32.096354 loss=3.088374 lr=0.099837 Epoch[038] Batch [0649]/[3760] Speed: 95.128690 samples/sec accuracy=32.028846 loss=3.088248 lr=0.099836 Epoch[038] Batch [0699]/[3760] Speed: 96.677327 samples/sec accuracy=31.991071 loss=3.090331 lr=0.099835 Epoch[038] Batch [0749]/[3760] Speed: 95.446006 samples/sec accuracy=31.950000 loss=3.090698 lr=0.099834 Epoch[038] Batch [0799]/[3760] Speed: 95.898788 samples/sec accuracy=31.974609 loss=3.088428 lr=0.099833 Epoch[038] Batch [0849]/[3760] Speed: 95.659430 samples/sec accuracy=31.954044 loss=3.088872 lr=0.099832 Epoch[038] Batch [0899]/[3760] Speed: 95.796577 samples/sec accuracy=31.901042 loss=3.092650 lr=0.099831 Epoch[038] Batch [0949]/[3760] Speed: 95.613874 samples/sec accuracy=31.865132 loss=3.095763 lr=0.099830 Epoch[038] Batch [0999]/[3760] Speed: 95.384752 samples/sec accuracy=31.940625 loss=3.093377 lr=0.099828 Epoch[038] Batch [1049]/[3760] Speed: 94.687530 samples/sec accuracy=31.906250 loss=3.093313 lr=0.099827 Epoch[038] Batch [1099]/[3760] Speed: 96.010981 samples/sec accuracy=31.970170 loss=3.091466 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lr=0.099783 Epoch[038] Batch [3049]/[3760] Speed: 97.231683 samples/sec accuracy=31.863217 loss=3.108065 lr=0.099782 Epoch[038] Batch [3099]/[3760] Speed: 95.648078 samples/sec accuracy=31.855343 loss=3.108841 lr=0.099781 Epoch[038] Batch [3149]/[3760] Speed: 94.623580 samples/sec accuracy=31.856151 loss=3.109423 lr=0.099780 Epoch[038] Batch [3199]/[3760] Speed: 96.746332 samples/sec accuracy=31.844238 loss=3.109503 lr=0.099778 Epoch[038] Batch [3249]/[3760] Speed: 95.664049 samples/sec accuracy=31.823077 loss=3.110445 lr=0.099777 Epoch[038] Batch [3299]/[3760] Speed: 95.878930 samples/sec accuracy=31.822917 loss=3.110246 lr=0.099776 Epoch[038] Batch [3349]/[3760] Speed: 96.193097 samples/sec accuracy=31.836287 loss=3.109938 lr=0.099775 Epoch[038] Batch [3399]/[3760] Speed: 95.454705 samples/sec accuracy=31.883272 loss=3.108589 lr=0.099773 Epoch[038] Batch [3449]/[3760] Speed: 96.550839 samples/sec accuracy=31.864583 loss=3.109511 lr=0.099772 Epoch[038] Batch [3499]/[3760] Speed: 96.316503 samples/sec accuracy=31.849554 loss=3.110063 lr=0.099771 Epoch[038] Batch [3549]/[3760] Speed: 95.399416 samples/sec accuracy=31.863996 loss=3.109394 lr=0.099770 Epoch[038] Batch [3599]/[3760] Speed: 94.143600 samples/sec accuracy=31.872396 loss=3.109360 lr=0.099768 Epoch[038] Batch [3649]/[3760] Speed: 96.554831 samples/sec accuracy=31.867295 loss=3.109369 lr=0.099767 Epoch[038] Batch [3699]/[3760] Speed: 96.001088 samples/sec accuracy=31.885135 loss=3.108355 lr=0.099766 Epoch[038] Batch [3749]/[3760] Speed: 108.994387 samples/sec accuracy=31.882083 loss=3.108711 lr=0.099765 Batch [0049]/[0303]: acc-top1=34.906250 acc-top5=61.562500 Batch [0099]/[0303]: acc-top1=31.812500 acc-top5=58.203125 Batch [0149]/[0303]: acc-top1=32.708333 acc-top5=58.666667 Batch [0199]/[0303]: acc-top1=34.476562 acc-top5=60.460938 Batch [0249]/[0303]: acc-top1=33.693750 acc-top5=60.025000 Batch [0299]/[0303]: acc-top1=33.161458 acc-top5=60.270833 [Epoch 038] training: accuracy=31.879987 loss=3.108781 [Epoch 038] speed: 95 samples/sec time cost: 2723.510644 [Epoch 038] validation: acc-top1=33.214728 acc-top5=60.375413 loss=3.162814 Epoch[039] Batch [0049]/[3760] Speed: 66.084988 samples/sec accuracy=32.281250 loss=3.020796 lr=0.099763 Epoch[039] Batch [0099]/[3760] Speed: 92.863549 samples/sec accuracy=32.515625 loss=3.076222 lr=0.099762 Epoch[039] Batch [0149]/[3760] Speed: 97.678094 samples/sec accuracy=32.333333 loss=3.091957 lr=0.099761 Epoch[039] Batch [0199]/[3760] Speed: 95.802570 samples/sec accuracy=32.187500 loss=3.088561 lr=0.099759 Epoch[039] Batch [0249]/[3760] Speed: 96.513280 samples/sec accuracy=32.056250 loss=3.088728 lr=0.099758 Epoch[039] Batch [0299]/[3760] Speed: 95.914609 samples/sec accuracy=32.161458 loss=3.075067 lr=0.099757 Epoch[039] Batch [0349]/[3760] Speed: 96.330934 samples/sec accuracy=32.075893 loss=3.081106 lr=0.099756 Epoch[039] Batch [0399]/[3760] Speed: 95.897022 samples/sec accuracy=32.050781 loss=3.081136 lr=0.099754 Epoch[039] 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accuracy=32.220486 loss=3.083106 lr=0.099741 Epoch[039] Batch [0949]/[3760] Speed: 96.085678 samples/sec accuracy=32.194079 loss=3.083281 lr=0.099740 Epoch[039] Batch [0999]/[3760] Speed: 95.491570 samples/sec accuracy=32.159375 loss=3.083931 lr=0.099739 Epoch[039] Batch [1049]/[3760] Speed: 96.003925 samples/sec accuracy=32.098214 loss=3.087212 lr=0.099738 Epoch[039] Batch [1099]/[3760] Speed: 96.376340 samples/sec accuracy=32.062500 loss=3.089360 lr=0.099736 Epoch[039] Batch [1149]/[3760] Speed: 95.493823 samples/sec accuracy=32.047554 loss=3.087951 lr=0.099735 Epoch[039] Batch [1199]/[3760] Speed: 95.665162 samples/sec accuracy=32.031250 loss=3.090853 lr=0.099734 Epoch[039] Batch [1249]/[3760] Speed: 96.049710 samples/sec accuracy=32.061250 loss=3.090598 lr=0.099732 Epoch[039] Batch [1299]/[3760] Speed: 96.904068 samples/sec accuracy=32.027644 loss=3.092202 lr=0.099731 Epoch[039] Batch [1349]/[3760] Speed: 96.413853 samples/sec accuracy=32.076389 loss=3.091479 lr=0.099730 Epoch[039] Batch [1399]/[3760] Speed: 95.377810 samples/sec accuracy=32.040179 loss=3.092018 lr=0.099728 Epoch[039] Batch [1449]/[3760] Speed: 96.222824 samples/sec accuracy=32.029095 loss=3.092702 lr=0.099727 Epoch[039] Batch [1499]/[3760] Speed: 95.337228 samples/sec accuracy=32.016667 loss=3.093981 lr=0.099726 Epoch[039] Batch [1549]/[3760] Speed: 96.532202 samples/sec accuracy=32.017137 loss=3.094062 lr=0.099724 Epoch[039] Batch [1599]/[3760] Speed: 96.169781 samples/sec accuracy=32.003906 loss=3.095202 lr=0.099723 Epoch[039] Batch [1649]/[3760] Speed: 95.680387 samples/sec accuracy=32.026515 loss=3.094259 lr=0.099721 Epoch[039] Batch [1699]/[3760] Speed: 95.916899 samples/sec accuracy=32.007353 loss=3.096138 lr=0.099720 Epoch[039] Batch [1749]/[3760] Speed: 96.700261 samples/sec accuracy=31.988393 loss=3.097944 lr=0.099719 Epoch[039] Batch [1799]/[3760] Speed: 95.272732 samples/sec accuracy=31.959201 loss=3.100420 lr=0.099717 Epoch[039] Batch [1849]/[3760] Speed: 95.176217 samples/sec accuracy=31.935811 loss=3.101149 lr=0.099716 Epoch[039] Batch [1899]/[3760] Speed: 97.073004 samples/sec accuracy=31.939145 loss=3.100746 lr=0.099715 Epoch[039] Batch [1949]/[3760] Speed: 95.763335 samples/sec accuracy=31.935897 loss=3.101355 lr=0.099713 Epoch[039] Batch [1999]/[3760] Speed: 96.510887 samples/sec accuracy=31.933594 loss=3.102129 lr=0.099712 Epoch[039] Batch [2049]/[3760] Speed: 95.960162 samples/sec accuracy=31.934451 loss=3.101859 lr=0.099710 Epoch[039] Batch [2099]/[3760] Speed: 96.091966 samples/sec accuracy=31.933036 loss=3.102004 lr=0.099709 Epoch[039] Batch [2149]/[3760] Speed: 96.243757 samples/sec accuracy=31.894622 loss=3.102621 lr=0.099708 Epoch[039] Batch [2199]/[3760] Speed: 96.357339 samples/sec accuracy=31.870739 loss=3.102723 lr=0.099706 Epoch[039] Batch [2249]/[3760] Speed: 95.874280 samples/sec accuracy=31.850694 loss=3.103766 lr=0.099705 Epoch[039] Batch [2299]/[3760] Speed: 95.479107 samples/sec accuracy=31.856658 loss=3.103594 lr=0.099704 Epoch[039] 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accuracy=31.850446 loss=3.104504 lr=0.099689 Epoch[039] Batch [2849]/[3760] Speed: 95.077901 samples/sec accuracy=31.857456 loss=3.104451 lr=0.099688 Epoch[039] Batch [2899]/[3760] Speed: 96.137208 samples/sec accuracy=31.878233 loss=3.104699 lr=0.099686 Epoch[039] Batch [2949]/[3760] Speed: 96.102830 samples/sec accuracy=31.885064 loss=3.104566 lr=0.099685 Epoch[039] Batch [2999]/[3760] Speed: 96.479525 samples/sec accuracy=31.860937 loss=3.105350 lr=0.099684 Epoch[039] Batch [3049]/[3760] Speed: 95.072705 samples/sec accuracy=31.865266 loss=3.104767 lr=0.099682 Epoch[039] Batch [3099]/[3760] Speed: 95.770147 samples/sec accuracy=31.877016 loss=3.104037 lr=0.099681 Epoch[039] Batch [3149]/[3760] Speed: 97.162418 samples/sec accuracy=31.877480 loss=3.104625 lr=0.099679 Epoch[039] Batch [3199]/[3760] Speed: 95.390256 samples/sec accuracy=31.887207 loss=3.104759 lr=0.099678 Epoch[039] Batch [3249]/[3760] Speed: 95.956195 samples/sec accuracy=31.880288 loss=3.104588 lr=0.099676 Epoch[039] Batch [3299]/[3760] Speed: 96.000563 samples/sec accuracy=31.902936 loss=3.103686 lr=0.099675 Epoch[039] Batch [3349]/[3760] Speed: 95.714086 samples/sec accuracy=31.914646 loss=3.103538 lr=0.099673 Epoch[039] Batch [3399]/[3760] Speed: 95.223963 samples/sec accuracy=31.914062 loss=3.103693 lr=0.099672 Epoch[039] Batch [3449]/[3760] Speed: 96.006934 samples/sec accuracy=31.910779 loss=3.103732 lr=0.099670 Epoch[039] Batch [3499]/[3760] Speed: 96.016555 samples/sec accuracy=31.912500 loss=3.104463 lr=0.099669 Epoch[039] Batch [3549]/[3760] Speed: 94.830635 samples/sec accuracy=31.928697 loss=3.103906 lr=0.099667 Epoch[039] Batch [3599]/[3760] Speed: 96.939020 samples/sec accuracy=31.947917 loss=3.103678 lr=0.099666 Epoch[039] Batch [3649]/[3760] Speed: 95.676389 samples/sec accuracy=31.927226 loss=3.104348 lr=0.099664 Epoch[039] Batch [3699]/[3760] Speed: 96.386412 samples/sec accuracy=31.915118 loss=3.104943 lr=0.099663 Epoch[039] Batch [3749]/[3760] Speed: 110.120566 samples/sec accuracy=31.932500 loss=3.104003 lr=0.099661 Batch [0049]/[0303]: acc-top1=29.531250 acc-top5=54.437500 Batch [0099]/[0303]: acc-top1=27.015625 acc-top5=53.093750 Batch [0149]/[0303]: acc-top1=29.312500 acc-top5=55.354167 Batch [0199]/[0303]: acc-top1=31.593750 acc-top5=57.109375 Batch [0249]/[0303]: acc-top1=31.068750 acc-top5=56.825000 Batch [0299]/[0303]: acc-top1=30.390625 acc-top5=56.588542 [Epoch 039] training: accuracy=31.929854 loss=3.104093 [Epoch 039] speed: 95 samples/sec time cost: 2715.765352 [Epoch 039] validation: acc-top1=30.347566 acc-top5=56.574876 loss=3.334125 Epoch[040] Batch [0049]/[3759] Speed: 65.899156 samples/sec accuracy=31.687500 loss=3.087127 lr=0.099660 Epoch[040] Batch [0099]/[3759] Speed: 94.016876 samples/sec accuracy=31.984375 loss=3.089907 lr=0.099658 Epoch[040] Batch [0149]/[3759] Speed: 97.273763 samples/sec accuracy=32.354167 loss=3.076680 lr=0.099657 Epoch[040] Batch [0199]/[3759] Speed: 95.425351 samples/sec accuracy=32.375000 loss=3.076394 lr=0.099655 Epoch[040] Batch [0249]/[3759] Speed: 96.425949 samples/sec accuracy=32.506250 loss=3.067645 lr=0.099654 Epoch[040] Batch [0299]/[3759] Speed: 97.224414 samples/sec accuracy=32.380208 loss=3.073067 lr=0.099652 Epoch[040] Batch [0349]/[3759] Speed: 96.777416 samples/sec accuracy=32.250000 loss=3.075764 lr=0.099651 Epoch[040] Batch [0399]/[3759] Speed: 97.299490 samples/sec accuracy=32.191406 loss=3.075756 lr=0.099649 Epoch[040] Batch [0449]/[3759] Speed: 95.921674 samples/sec accuracy=32.125000 loss=3.077374 lr=0.099648 Epoch[040] Batch [0499]/[3759] Speed: 96.496382 samples/sec accuracy=32.071875 loss=3.077919 lr=0.099646 Epoch[040] Batch [0549]/[3759] Speed: 96.598696 samples/sec accuracy=32.113636 loss=3.075868 lr=0.099644 Epoch[040] Batch [0599]/[3759] Speed: 96.167569 samples/sec accuracy=32.169271 loss=3.073183 lr=0.099643 Epoch[040] Batch [0649]/[3759] Speed: 96.367110 samples/sec accuracy=32.192308 loss=3.071768 lr=0.099641 Epoch[040] Batch [0699]/[3759] Speed: 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lr=0.099564 Epoch[040] Batch [3099]/[3759] Speed: 96.756373 samples/sec accuracy=31.934980 loss=3.101009 lr=0.099562 Epoch[040] Batch [3149]/[3759] Speed: 95.657071 samples/sec accuracy=31.937996 loss=3.101608 lr=0.099560 Epoch[040] Batch [3199]/[3759] Speed: 96.065438 samples/sec accuracy=31.957031 loss=3.100715 lr=0.099558 Epoch[040] Batch [3249]/[3759] Speed: 97.154273 samples/sec accuracy=31.977404 loss=3.100546 lr=0.099557 Epoch[040] Batch [3299]/[3759] Speed: 95.522092 samples/sec accuracy=31.970170 loss=3.101814 lr=0.099555 Epoch[040] Batch [3349]/[3759] Speed: 97.113502 samples/sec accuracy=31.964552 loss=3.101967 lr=0.099553 Epoch[040] Batch [3399]/[3759] Speed: 95.532359 samples/sec accuracy=31.969210 loss=3.101639 lr=0.099552 Epoch[040] Batch [3449]/[3759] Speed: 96.942905 samples/sec accuracy=31.962862 loss=3.101841 lr=0.099550 Epoch[040] Batch [3499]/[3759] Speed: 95.792421 samples/sec accuracy=31.954911 loss=3.102192 lr=0.099548 Epoch[040] Batch [3549]/[3759] Speed: 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acc-top5=58.900578 loss=3.289506 Epoch[041] Batch [0049]/[3760] Speed: 66.772582 samples/sec accuracy=33.125000 loss=3.036989 lr=0.099537 Epoch[041] Batch [0099]/[3760] Speed: 93.114718 samples/sec accuracy=33.296875 loss=3.018523 lr=0.099536 Epoch[041] Batch [0149]/[3760] Speed: 96.116095 samples/sec accuracy=32.843750 loss=3.052166 lr=0.099534 Epoch[041] Batch [0199]/[3760] Speed: 94.527277 samples/sec accuracy=33.031250 loss=3.050652 lr=0.099532 Epoch[041] Batch [0249]/[3760] Speed: 95.783048 samples/sec accuracy=33.112500 loss=3.043912 lr=0.099530 Epoch[041] Batch [0299]/[3760] Speed: 95.388065 samples/sec accuracy=32.880208 loss=3.053119 lr=0.099529 Epoch[041] Batch [0349]/[3760] Speed: 96.225632 samples/sec accuracy=32.714286 loss=3.063103 lr=0.099527 Epoch[041] Batch [0399]/[3760] Speed: 95.878293 samples/sec accuracy=32.816406 loss=3.066264 lr=0.099525 Epoch[041] Batch [0449]/[3760] Speed: 95.190737 samples/sec accuracy=32.822917 loss=3.063191 lr=0.099523 Epoch[041] Batch 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accuracy=32.333882 loss=3.078800 lr=0.099505 Epoch[041] Batch [0999]/[3760] Speed: 94.863965 samples/sec accuracy=32.390625 loss=3.078522 lr=0.099504 Epoch[041] Batch [1049]/[3760] Speed: 95.703285 samples/sec accuracy=32.357143 loss=3.081331 lr=0.099502 Epoch[041] Batch [1099]/[3760] Speed: 95.189983 samples/sec accuracy=32.289773 loss=3.086687 lr=0.099500 Epoch[041] Batch [1149]/[3760] Speed: 95.645536 samples/sec accuracy=32.245924 loss=3.088871 lr=0.099498 Epoch[041] Batch [1199]/[3760] Speed: 95.553581 samples/sec accuracy=32.223958 loss=3.089192 lr=0.099496 Epoch[041] Batch [1249]/[3760] Speed: 96.441592 samples/sec accuracy=32.198750 loss=3.089410 lr=0.099494 Epoch[041] Batch [1299]/[3760] Speed: 95.965811 samples/sec accuracy=32.167067 loss=3.090549 lr=0.099493 Epoch[041] Batch [1349]/[3760] Speed: 95.989143 samples/sec accuracy=32.158565 loss=3.091221 lr=0.099491 Epoch[041] Batch [1399]/[3760] Speed: 95.044302 samples/sec accuracy=32.108259 loss=3.093911 lr=0.099489 Epoch[041] 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accuracy=32.048520 loss=3.098838 lr=0.099470 Epoch[041] Batch [1949]/[3760] Speed: 96.170676 samples/sec accuracy=32.068109 loss=3.097908 lr=0.099468 Epoch[041] Batch [1999]/[3760] Speed: 96.382225 samples/sec accuracy=32.089844 loss=3.097404 lr=0.099467 Epoch[041] Batch [2049]/[3760] Speed: 95.795919 samples/sec accuracy=32.064024 loss=3.098102 lr=0.099465 Epoch[041] Batch [2099]/[3760] Speed: 96.248313 samples/sec accuracy=32.084077 loss=3.097869 lr=0.099463 Epoch[041] Batch [2149]/[3760] Speed: 94.685567 samples/sec accuracy=32.079942 loss=3.097163 lr=0.099461 Epoch[041] Batch [2199]/[3760] Speed: 95.661576 samples/sec accuracy=32.052557 loss=3.099249 lr=0.099459 Epoch[041] Batch [2249]/[3760] Speed: 95.951708 samples/sec accuracy=32.038889 loss=3.100366 lr=0.099457 Epoch[041] Batch [2299]/[3760] Speed: 94.743458 samples/sec accuracy=32.061821 loss=3.099012 lr=0.099455 Epoch[041] Batch [2349]/[3760] Speed: 96.283118 samples/sec accuracy=32.093750 loss=3.098136 lr=0.099453 Epoch[041] 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accuracy=32.069079 loss=3.099399 lr=0.099434 Epoch[041] Batch [2899]/[3760] Speed: 95.746708 samples/sec accuracy=32.056573 loss=3.100096 lr=0.099432 Epoch[041] Batch [2949]/[3760] Speed: 95.798050 samples/sec accuracy=32.047669 loss=3.100786 lr=0.099430 Epoch[041] Batch [2999]/[3760] Speed: 95.204897 samples/sec accuracy=32.067708 loss=3.099108 lr=0.099428 Epoch[041] Batch [3049]/[3760] Speed: 95.378391 samples/sec accuracy=32.060963 loss=3.099461 lr=0.099426 Epoch[041] Batch [3099]/[3760] Speed: 95.279057 samples/sec accuracy=32.059980 loss=3.099117 lr=0.099424 Epoch[041] Batch [3149]/[3760] Speed: 95.933808 samples/sec accuracy=32.037202 loss=3.099409 lr=0.099423 Epoch[041] Batch [3199]/[3760] Speed: 96.609766 samples/sec accuracy=32.038574 loss=3.098737 lr=0.099421 Epoch[041] Batch [3249]/[3760] Speed: 94.859940 samples/sec accuracy=32.024519 loss=3.098682 lr=0.099419 Epoch[041] Batch [3299]/[3760] Speed: 95.439396 samples/sec accuracy=32.040720 loss=3.098628 lr=0.099417 Epoch[041] Batch [3349]/[3760] Speed: 96.564702 samples/sec accuracy=32.028918 loss=3.098250 lr=0.099415 Epoch[041] Batch [3399]/[3760] Speed: 95.267393 samples/sec accuracy=32.028493 loss=3.098603 lr=0.099413 Epoch[041] Batch [3449]/[3760] Speed: 96.422926 samples/sec accuracy=32.036232 loss=3.098727 lr=0.099411 Epoch[041] Batch [3499]/[3760] Speed: 94.555486 samples/sec accuracy=32.038839 loss=3.098014 lr=0.099409 Epoch[041] Batch [3549]/[3760] Speed: 95.487906 samples/sec accuracy=32.033451 loss=3.099214 lr=0.099407 Epoch[041] Batch [3599]/[3760] Speed: 95.293574 samples/sec accuracy=32.011719 loss=3.099620 lr=0.099405 Epoch[041] Batch [3649]/[3760] Speed: 97.291349 samples/sec accuracy=32.034247 loss=3.098796 lr=0.099403 Epoch[041] Batch [3699]/[3760] Speed: 94.537349 samples/sec accuracy=32.038429 loss=3.098894 lr=0.099401 Epoch[041] Batch [3749]/[3760] Speed: 108.915509 samples/sec accuracy=32.049167 loss=3.098540 lr=0.099399 Batch [0049]/[0303]: acc-top1=35.281250 acc-top5=61.000000 Batch [0099]/[0303]: acc-top1=30.718750 acc-top5=56.656250 Batch [0149]/[0303]: acc-top1=32.041667 acc-top5=57.885417 Batch [0199]/[0303]: acc-top1=35.046875 acc-top5=60.601562 Batch [0249]/[0303]: acc-top1=34.375000 acc-top5=60.356250 Batch [0299]/[0303]: acc-top1=33.723958 acc-top5=60.401042 [Epoch 041] training: accuracy=32.047457 loss=3.098601 [Epoch 041] speed: 95 samples/sec time cost: 2723.939459 [Epoch 041] validation: acc-top1=33.766502 acc-top5=60.463078 loss=3.122470 Epoch[042] Batch [0049]/[3760] Speed: 66.759013 samples/sec accuracy=33.031250 loss=2.986090 lr=0.099396 Epoch[042] Batch [0099]/[3760] Speed: 93.573348 samples/sec accuracy=32.484375 loss=3.021043 lr=0.099394 Epoch[042] Batch [0149]/[3760] Speed: 95.860088 samples/sec accuracy=32.291667 loss=3.042763 lr=0.099392 Epoch[042] Batch [0199]/[3760] Speed: 94.882688 samples/sec accuracy=32.320312 loss=3.040661 lr=0.099390 Epoch[042] Batch [0249]/[3760] Speed: 95.552259 samples/sec accuracy=32.593750 loss=3.038072 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accuracy=34.062500 loss=3.005952 lr=0.099237 Epoch[043] Batch [0099]/[3759] Speed: 93.740839 samples/sec accuracy=32.953125 loss=3.032575 lr=0.099235 Epoch[043] Batch [0149]/[3759] Speed: 96.950386 samples/sec accuracy=32.552083 loss=3.046167 lr=0.099232 Epoch[043] Batch [0199]/[3759] Speed: 95.687816 samples/sec accuracy=32.796875 loss=3.047376 lr=0.099230 Epoch[043] Batch [0249]/[3759] Speed: 95.391605 samples/sec accuracy=32.800000 loss=3.048999 lr=0.099228 Epoch[043] Batch [0299]/[3759] Speed: 97.687508 samples/sec accuracy=33.078125 loss=3.043215 lr=0.099226 Epoch[043] Batch [0349]/[3759] Speed: 95.106613 samples/sec accuracy=33.049107 loss=3.047618 lr=0.099223 Epoch[043] Batch [0399]/[3759] Speed: 96.070782 samples/sec accuracy=33.042969 loss=3.051252 lr=0.099221 Epoch[043] Batch [0449]/[3759] Speed: 96.449974 samples/sec accuracy=32.989583 loss=3.052415 lr=0.099219 Epoch[043] Batch [0499]/[3759] Speed: 95.669941 samples/sec accuracy=32.978125 loss=3.049209 lr=0.099217 Epoch[043] 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accuracy=32.646875 loss=3.061381 lr=0.099194 Epoch[043] Batch [1049]/[3759] Speed: 95.290344 samples/sec accuracy=32.709821 loss=3.061648 lr=0.099191 Epoch[043] Batch [1099]/[3759] Speed: 95.500649 samples/sec accuracy=32.644886 loss=3.064927 lr=0.099189 Epoch[043] Batch [1149]/[3759] Speed: 95.346670 samples/sec accuracy=32.641304 loss=3.065532 lr=0.099187 Epoch[043] Batch [1199]/[3759] Speed: 96.146854 samples/sec accuracy=32.660156 loss=3.065482 lr=0.099184 Epoch[043] Batch [1249]/[3759] Speed: 96.344799 samples/sec accuracy=32.680000 loss=3.065639 lr=0.099182 Epoch[043] Batch [1299]/[3759] Speed: 95.660631 samples/sec accuracy=32.737981 loss=3.063305 lr=0.099180 Epoch[043] Batch [1349]/[3759] Speed: 95.624713 samples/sec accuracy=32.682870 loss=3.065768 lr=0.099177 Epoch[043] Batch [1399]/[3759] Speed: 96.129599 samples/sec accuracy=32.637277 loss=3.066275 lr=0.099175 Epoch[043] Batch [1449]/[3759] Speed: 95.821713 samples/sec accuracy=32.613147 loss=3.067839 lr=0.099173 Epoch[043] 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accuracy=32.504808 loss=3.074428 lr=0.099149 Epoch[043] Batch [1999]/[3759] Speed: 95.483406 samples/sec accuracy=32.483594 loss=3.074884 lr=0.099147 Epoch[043] Batch [2049]/[3759] Speed: 95.729983 samples/sec accuracy=32.445884 loss=3.076203 lr=0.099144 Epoch[043] Batch [2099]/[3759] Speed: 94.873526 samples/sec accuracy=32.427827 loss=3.075930 lr=0.099142 Epoch[043] Batch [2149]/[3759] Speed: 96.429499 samples/sec accuracy=32.441134 loss=3.075251 lr=0.099140 Epoch[043] Batch [2199]/[3759] Speed: 95.353896 samples/sec accuracy=32.458097 loss=3.076398 lr=0.099137 Epoch[043] Batch [2249]/[3759] Speed: 96.132116 samples/sec accuracy=32.446528 loss=3.076573 lr=0.099135 Epoch[043] Batch [2299]/[3759] Speed: 95.418459 samples/sec accuracy=32.442935 loss=3.077953 lr=0.099133 Epoch[043] Batch [2349]/[3759] Speed: 97.155835 samples/sec accuracy=32.450133 loss=3.077793 lr=0.099130 Epoch[043] Batch [2399]/[3759] Speed: 96.217402 samples/sec accuracy=32.449219 loss=3.078401 lr=0.099128 Epoch[043] 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accuracy=32.376616 loss=3.080547 lr=0.099104 Epoch[043] Batch [2949]/[3759] Speed: 95.660192 samples/sec accuracy=32.352754 loss=3.081550 lr=0.099101 Epoch[043] Batch [2999]/[3759] Speed: 95.339911 samples/sec accuracy=32.351042 loss=3.081975 lr=0.099099 Epoch[043] Batch [3049]/[3759] Speed: 95.716056 samples/sec accuracy=32.334016 loss=3.082962 lr=0.099096 Epoch[043] Batch [3099]/[3759] Speed: 96.154244 samples/sec accuracy=32.325101 loss=3.083389 lr=0.099094 Epoch[043] Batch [3149]/[3759] Speed: 95.122775 samples/sec accuracy=32.316964 loss=3.083931 lr=0.099091 Epoch[043] Batch [3199]/[3759] Speed: 94.614110 samples/sec accuracy=32.344238 loss=3.082829 lr=0.099089 Epoch[043] Batch [3249]/[3759] Speed: 97.265708 samples/sec accuracy=32.340385 loss=3.083207 lr=0.099087 Epoch[043] Batch [3299]/[3759] Speed: 95.326888 samples/sec accuracy=32.338068 loss=3.083111 lr=0.099084 Epoch[043] Batch [3349]/[3759] Speed: 96.141175 samples/sec accuracy=32.330690 loss=3.083020 lr=0.099082 Epoch[043] Batch [3399]/[3759] Speed: 94.935656 samples/sec accuracy=32.319853 loss=3.083265 lr=0.099079 Epoch[043] Batch [3449]/[3759] Speed: 95.037219 samples/sec accuracy=32.287138 loss=3.083880 lr=0.099077 Epoch[043] Batch [3499]/[3759] Speed: 97.230095 samples/sec accuracy=32.287946 loss=3.083932 lr=0.099074 Epoch[043] Batch [3549]/[3759] Speed: 94.952347 samples/sec accuracy=32.281690 loss=3.084314 lr=0.099072 Epoch[043] Batch [3599]/[3759] Speed: 96.992740 samples/sec accuracy=32.269965 loss=3.085142 lr=0.099069 Epoch[043] Batch [3649]/[3759] Speed: 95.341300 samples/sec accuracy=32.248288 loss=3.085758 lr=0.099067 Epoch[043] Batch [3699]/[3759] Speed: 96.167044 samples/sec accuracy=32.242821 loss=3.085878 lr=0.099064 Epoch[043] Batch [3749]/[3759] Speed: 110.501119 samples/sec accuracy=32.226667 loss=3.086318 lr=0.099062 Batch [0049]/[0303]: acc-top1=33.281250 acc-top5=59.218750 Batch [0099]/[0303]: acc-top1=30.781250 acc-top5=57.312500 Batch [0149]/[0303]: acc-top1=32.489583 acc-top5=58.395833 Batch [0199]/[0303]: acc-top1=34.992188 acc-top5=60.351562 Batch [0249]/[0303]: acc-top1=33.337500 acc-top5=59.681250 Batch [0299]/[0303]: acc-top1=32.932292 acc-top5=59.895833 [Epoch 043] training: accuracy=32.224328 loss=3.086253 [Epoch 043] speed: 95 samples/sec time cost: 2717.714512 [Epoch 043] validation: acc-top1=32.962046 acc-top5=59.926774 loss=3.195635 Epoch[044] Batch [0049]/[3760] Speed: 65.523888 samples/sec accuracy=35.062500 loss=2.951642 lr=0.099059 Epoch[044] Batch [0099]/[3760] Speed: 92.841590 samples/sec accuracy=34.625000 loss=2.963889 lr=0.099056 Epoch[044] Batch [0149]/[3760] Speed: 97.044901 samples/sec accuracy=33.968750 loss=3.004901 lr=0.099054 Epoch[044] Batch [0199]/[3760] Speed: 94.768295 samples/sec accuracy=33.742188 loss=3.010075 lr=0.099051 Epoch[044] Batch [0249]/[3760] Speed: 95.627226 samples/sec accuracy=33.350000 loss=3.018996 lr=0.099049 Epoch[044] Batch [0299]/[3760] Speed: 95.885465 samples/sec accuracy=33.135417 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accuracy=32.997500 loss=3.051574 lr=0.098998 Epoch[044] Batch [1299]/[3760] Speed: 96.337346 samples/sec accuracy=32.953125 loss=3.052663 lr=0.098996 Epoch[044] Batch [1349]/[3760] Speed: 95.570667 samples/sec accuracy=32.908565 loss=3.054748 lr=0.098993 Epoch[044] Batch [1399]/[3760] Speed: 95.939016 samples/sec accuracy=32.924107 loss=3.054466 lr=0.098990 Epoch[044] Batch [1449]/[3760] Speed: 95.494621 samples/sec accuracy=32.884698 loss=3.056263 lr=0.098988 Epoch[044] Batch [1499]/[3760] Speed: 95.554411 samples/sec accuracy=32.821875 loss=3.057297 lr=0.098985 Epoch[044] Batch [1549]/[3760] Speed: 96.814680 samples/sec accuracy=32.804435 loss=3.058469 lr=0.098983 Epoch[044] Batch [1599]/[3760] Speed: 95.300614 samples/sec accuracy=32.777344 loss=3.060258 lr=0.098980 Epoch[044] Batch [1649]/[3760] Speed: 97.564744 samples/sec accuracy=32.769886 loss=3.060792 lr=0.098978 Epoch[044] Batch [1699]/[3760] Speed: 95.185300 samples/sec accuracy=32.751838 loss=3.063165 lr=0.098975 Epoch[044] 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accuracy=32.676136 loss=3.065543 lr=0.098949 Epoch[044] Batch [2249]/[3760] Speed: 95.077843 samples/sec accuracy=32.668750 loss=3.066365 lr=0.098946 Epoch[044] Batch [2299]/[3760] Speed: 94.306388 samples/sec accuracy=32.654891 loss=3.066789 lr=0.098944 Epoch[044] Batch [2349]/[3760] Speed: 95.805859 samples/sec accuracy=32.628324 loss=3.067601 lr=0.098941 Epoch[044] Batch [2399]/[3760] Speed: 95.930249 samples/sec accuracy=32.638021 loss=3.066835 lr=0.098938 Epoch[044] Batch [2449]/[3760] Speed: 95.505622 samples/sec accuracy=32.609056 loss=3.067851 lr=0.098936 Epoch[044] Batch [2499]/[3760] Speed: 95.745540 samples/sec accuracy=32.586875 loss=3.068827 lr=0.098933 Epoch[044] Batch [2549]/[3760] Speed: 95.991276 samples/sec accuracy=32.552083 loss=3.069700 lr=0.098930 Epoch[044] Batch [2599]/[3760] Speed: 95.257474 samples/sec accuracy=32.521635 loss=3.070116 lr=0.098928 Epoch[044] Batch [2649]/[3760] Speed: 96.602488 samples/sec accuracy=32.493514 loss=3.070847 lr=0.098925 Epoch[044] 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accuracy=32.483631 loss=3.072754 lr=0.098898 Epoch[044] Batch [3199]/[3760] Speed: 94.521622 samples/sec accuracy=32.488281 loss=3.072474 lr=0.098896 Epoch[044] Batch [3249]/[3760] Speed: 96.271958 samples/sec accuracy=32.480288 loss=3.072677 lr=0.098893 Epoch[044] Batch [3299]/[3760] Speed: 95.503043 samples/sec accuracy=32.462121 loss=3.073188 lr=0.098890 Epoch[044] Batch [3349]/[3760] Speed: 94.459461 samples/sec accuracy=32.458489 loss=3.074258 lr=0.098887 Epoch[044] Batch [3399]/[3760] Speed: 97.473425 samples/sec accuracy=32.456801 loss=3.074434 lr=0.098885 Epoch[044] Batch [3449]/[3760] Speed: 94.893271 samples/sec accuracy=32.450181 loss=3.075538 lr=0.098882 Epoch[044] Batch [3499]/[3760] Speed: 95.752990 samples/sec accuracy=32.441964 loss=3.075755 lr=0.098879 Epoch[044] Batch [3549]/[3760] Speed: 95.406365 samples/sec accuracy=32.428257 loss=3.076882 lr=0.098877 Epoch[044] Batch [3599]/[3760] Speed: 95.534081 samples/sec accuracy=32.408854 loss=3.077628 lr=0.098874 Epoch[044] Batch [3649]/[3760] Speed: 95.773460 samples/sec accuracy=32.408818 loss=3.078236 lr=0.098871 Epoch[044] Batch [3699]/[3760] Speed: 95.641672 samples/sec accuracy=32.412162 loss=3.077990 lr=0.098868 Epoch[044] Batch [3749]/[3760] Speed: 107.528583 samples/sec accuracy=32.412083 loss=3.077736 lr=0.098866 Batch [0049]/[0303]: acc-top1=33.843750 acc-top5=60.312500 Batch [0099]/[0303]: acc-top1=31.359375 acc-top5=57.078125 Batch [0149]/[0303]: acc-top1=31.906250 acc-top5=58.218750 Batch [0199]/[0303]: acc-top1=34.640625 acc-top5=60.968750 Batch [0249]/[0303]: acc-top1=33.900000 acc-top5=60.831250 Batch [0299]/[0303]: acc-top1=33.078125 acc-top5=60.687500 [Epoch 044] training: accuracy=32.420213 loss=3.077564 [Epoch 044] speed: 95 samples/sec time cost: 2723.552119 [Epoch 044] validation: acc-top1=33.029084 acc-top5=60.638408 loss=3.251004 Epoch[045] Batch [0049]/[3760] Speed: 66.940768 samples/sec accuracy=33.062500 loss=3.056292 lr=0.098862 Epoch[045] Batch [0099]/[3760] Speed: 93.115593 samples/sec accuracy=33.437500 loss=3.023848 lr=0.098860 Epoch[045] Batch [0149]/[3760] Speed: 97.245078 samples/sec accuracy=33.291667 loss=3.020271 lr=0.098857 Epoch[045] Batch [0199]/[3760] Speed: 94.677220 samples/sec accuracy=33.226562 loss=3.026389 lr=0.098854 Epoch[045] Batch [0249]/[3760] Speed: 96.329499 samples/sec accuracy=33.106250 loss=3.035508 lr=0.098851 Epoch[045] Batch [0299]/[3760] Speed: 95.153109 samples/sec accuracy=32.932292 loss=3.035289 lr=0.098849 Epoch[045] Batch [0349]/[3760] Speed: 96.473045 samples/sec accuracy=32.950893 loss=3.033592 lr=0.098846 Epoch[045] Batch [0399]/[3760] Speed: 96.371818 samples/sec accuracy=32.902344 loss=3.040360 lr=0.098843 Epoch[045] Batch [0449]/[3760] Speed: 95.719495 samples/sec accuracy=32.954861 loss=3.044419 lr=0.098840 Epoch[045] Batch [0499]/[3760] Speed: 96.147024 samples/sec accuracy=32.796875 loss=3.050531 lr=0.098838 Epoch[045] Batch [0549]/[3760] Speed: 95.974502 samples/sec accuracy=32.732955 loss=3.053216 lr=0.098835 Epoch[045] Batch [0599]/[3760] Speed: 95.489981 samples/sec accuracy=32.648438 loss=3.056638 lr=0.098832 Epoch[045] Batch [0649]/[3760] Speed: 95.060825 samples/sec accuracy=32.644231 loss=3.058892 lr=0.098829 Epoch[045] Batch [0699]/[3760] Speed: 96.336930 samples/sec accuracy=32.575893 loss=3.062509 lr=0.098827 Epoch[045] Batch [0749]/[3760] Speed: 95.492356 samples/sec accuracy=32.547917 loss=3.060513 lr=0.098824 Epoch[045] Batch [0799]/[3760] Speed: 97.217200 samples/sec accuracy=32.527344 loss=3.059634 lr=0.098821 Epoch[045] Batch [0849]/[3760] Speed: 94.865998 samples/sec accuracy=32.494485 loss=3.060683 lr=0.098818 Epoch[045] Batch [0899]/[3760] Speed: 97.474981 samples/sec accuracy=32.515625 loss=3.061813 lr=0.098815 Epoch[045] Batch [0949]/[3760] Speed: 94.973730 samples/sec accuracy=32.503289 loss=3.062355 lr=0.098813 Epoch[045] Batch [0999]/[3760] Speed: 96.385436 samples/sec accuracy=32.450000 loss=3.064209 lr=0.098810 Epoch[045] Batch [1049]/[3760] Speed: 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lr=0.098782 Epoch[045] Batch [1549]/[3760] Speed: 96.305174 samples/sec accuracy=32.567540 loss=3.063008 lr=0.098779 Epoch[045] Batch [1599]/[3760] Speed: 95.951480 samples/sec accuracy=32.538086 loss=3.064021 lr=0.098776 Epoch[045] Batch [1649]/[3760] Speed: 95.495544 samples/sec accuracy=32.552083 loss=3.063537 lr=0.098773 Epoch[045] Batch [1699]/[3760] Speed: 95.554580 samples/sec accuracy=32.544118 loss=3.064657 lr=0.098770 Epoch[045] Batch [1749]/[3760] Speed: 96.039684 samples/sec accuracy=32.558929 loss=3.064182 lr=0.098767 Epoch[045] Batch [1799]/[3760] Speed: 96.571779 samples/sec accuracy=32.539931 loss=3.065702 lr=0.098765 Epoch[045] Batch [1849]/[3760] Speed: 95.189194 samples/sec accuracy=32.555743 loss=3.064457 lr=0.098762 Epoch[045] Batch [1899]/[3760] Speed: 96.335642 samples/sec accuracy=32.576480 loss=3.063344 lr=0.098759 Epoch[045] Batch [1949]/[3760] Speed: 95.835682 samples/sec accuracy=32.532853 loss=3.065985 lr=0.098756 Epoch[045] Batch [1999]/[3760] Speed: 97.032104 samples/sec accuracy=32.533594 loss=3.065729 lr=0.098753 Epoch[045] Batch [2049]/[3760] Speed: 94.791531 samples/sec accuracy=32.533537 loss=3.064666 lr=0.098750 Epoch[045] Batch [2099]/[3760] Speed: 96.433506 samples/sec accuracy=32.537202 loss=3.063940 lr=0.098747 Epoch[045] Batch [2149]/[3760] Speed: 95.210122 samples/sec accuracy=32.534157 loss=3.064079 lr=0.098745 Epoch[045] Batch [2199]/[3760] Speed: 96.060443 samples/sec accuracy=32.492898 loss=3.065618 lr=0.098742 Epoch[045] Batch [2249]/[3760] Speed: 95.510174 samples/sec accuracy=32.446528 loss=3.067181 lr=0.098739 Epoch[045] Batch [2299]/[3760] Speed: 96.578481 samples/sec accuracy=32.455163 loss=3.067431 lr=0.098736 Epoch[045] Batch [2349]/[3760] Speed: 95.140628 samples/sec accuracy=32.441489 loss=3.067681 lr=0.098733 Epoch[045] Batch [2399]/[3760] Speed: 97.545577 samples/sec accuracy=32.438151 loss=3.067756 lr=0.098730 Epoch[045] Batch [2449]/[3760] Speed: 93.966078 samples/sec accuracy=32.424107 loss=3.069259 lr=0.098727 Epoch[045] Batch [2499]/[3760] Speed: 96.817011 samples/sec accuracy=32.432500 loss=3.069421 lr=0.098724 Epoch[045] Batch [2549]/[3760] Speed: 95.800722 samples/sec accuracy=32.425858 loss=3.068724 lr=0.098722 Epoch[045] Batch [2599]/[3760] Speed: 95.920407 samples/sec accuracy=32.454327 loss=3.067481 lr=0.098719 Epoch[045] Batch [2649]/[3760] Speed: 95.490354 samples/sec accuracy=32.456368 loss=3.067827 lr=0.098716 Epoch[045] Batch [2699]/[3760] Speed: 96.159325 samples/sec accuracy=32.460648 loss=3.067694 lr=0.098713 Epoch[045] Batch [2749]/[3760] Speed: 95.008818 samples/sec accuracy=32.458523 loss=3.068522 lr=0.098710 Epoch[045] Batch [2799]/[3760] Speed: 95.978372 samples/sec accuracy=32.439732 loss=3.069414 lr=0.098707 Epoch[045] Batch [2849]/[3760] Speed: 95.119624 samples/sec accuracy=32.434211 loss=3.070412 lr=0.098704 Epoch[045] Batch [2899]/[3760] Speed: 95.778381 samples/sec accuracy=32.468750 loss=3.069215 lr=0.098701 Epoch[045] Batch [2949]/[3760] Speed: 95.325991 samples/sec accuracy=32.461864 loss=3.069878 lr=0.098698 Epoch[045] Batch [2999]/[3760] Speed: 96.220736 samples/sec accuracy=32.445312 loss=3.070659 lr=0.098695 Epoch[045] Batch [3049]/[3760] Speed: 94.790189 samples/sec accuracy=32.462090 loss=3.071129 lr=0.098692 Epoch[045] Batch [3099]/[3760] Speed: 96.255715 samples/sec accuracy=32.462702 loss=3.071021 lr=0.098689 Epoch[045] Batch [3149]/[3760] Speed: 94.541951 samples/sec accuracy=32.454861 loss=3.070973 lr=0.098687 Epoch[045] Batch [3199]/[3760] Speed: 96.036002 samples/sec accuracy=32.444824 loss=3.071654 lr=0.098684 Epoch[045] Batch [3249]/[3760] Speed: 94.798962 samples/sec accuracy=32.449038 loss=3.071748 lr=0.098681 Epoch[045] Batch [3299]/[3760] Speed: 95.938057 samples/sec accuracy=32.404356 loss=3.072832 lr=0.098678 Epoch[045] Batch [3349]/[3760] Speed: 95.464324 samples/sec accuracy=32.412780 loss=3.072576 lr=0.098675 Epoch[045] Batch [3399]/[3760] Speed: 95.636504 samples/sec accuracy=32.383732 loss=3.073799 lr=0.098672 Epoch[045] Batch [3449]/[3760] Speed: 95.747549 samples/sec accuracy=32.387228 loss=3.074077 lr=0.098669 Epoch[045] Batch [3499]/[3760] Speed: 96.361007 samples/sec accuracy=32.370536 loss=3.074573 lr=0.098666 Epoch[045] Batch [3549]/[3760] Speed: 96.043292 samples/sec accuracy=32.365317 loss=3.075358 lr=0.098663 Epoch[045] Batch [3599]/[3760] Speed: 96.418533 samples/sec accuracy=32.355903 loss=3.075495 lr=0.098660 Epoch[045] Batch [3649]/[3760] Speed: 95.729548 samples/sec accuracy=32.344178 loss=3.076476 lr=0.098657 Epoch[045] Batch [3699]/[3760] Speed: 95.666761 samples/sec accuracy=32.333193 loss=3.076572 lr=0.098654 Epoch[045] Batch [3749]/[3760] Speed: 108.901241 samples/sec accuracy=32.338750 loss=3.076112 lr=0.098651 Batch [0049]/[0303]: acc-top1=33.625000 acc-top5=59.906250 Batch [0099]/[0303]: acc-top1=31.359375 acc-top5=57.515625 Batch [0149]/[0303]: acc-top1=32.270833 acc-top5=58.583333 Batch [0199]/[0303]: acc-top1=35.117188 acc-top5=61.039062 Batch [0249]/[0303]: acc-top1=34.506250 acc-top5=61.050000 Batch [0299]/[0303]: acc-top1=33.854167 acc-top5=60.864583 [Epoch 045] training: accuracy=32.337517 loss=3.076286 [Epoch 045] speed: 95 samples/sec time cost: 2716.980641 [Epoch 045] validation: acc-top1=33.735561 acc-top5=60.782797 loss=3.115064 Epoch[046] Batch [0049]/[3759] Speed: 66.211080 samples/sec accuracy=34.812500 loss=2.946517 lr=0.098647 Epoch[046] Batch [0099]/[3759] Speed: 93.250215 samples/sec accuracy=34.500000 loss=2.982712 lr=0.098644 Epoch[046] Batch [0149]/[3759] Speed: 96.457535 samples/sec accuracy=33.750000 loss=3.006250 lr=0.098642 Epoch[046] Batch [0199]/[3759] Speed: 94.772131 samples/sec accuracy=33.554688 loss=3.013892 lr=0.098639 Epoch[046] Batch [0249]/[3759] Speed: 95.965874 samples/sec accuracy=33.131250 loss=3.023652 lr=0.098636 Epoch[046] Batch [0299]/[3759] Speed: 95.037224 samples/sec accuracy=33.072917 loss=3.028249 lr=0.098633 Epoch[046] Batch [0349]/[3759] Speed: 96.242601 samples/sec accuracy=33.120536 loss=3.026420 lr=0.098630 Epoch[046] Batch [0399]/[3759] Speed: 95.556633 samples/sec accuracy=32.992188 loss=3.032920 lr=0.098627 Epoch[046] Batch [0449]/[3759] Speed: 95.542685 samples/sec accuracy=32.805556 loss=3.039471 lr=0.098624 Epoch[046] Batch [0499]/[3759] Speed: 94.854724 samples/sec accuracy=32.796875 loss=3.036708 lr=0.098621 Epoch[046] Batch [0549]/[3759] Speed: 96.727700 samples/sec accuracy=32.735795 loss=3.042431 lr=0.098618 Epoch[046] Batch [0599]/[3759] Speed: 96.461415 samples/sec accuracy=32.739583 loss=3.046144 lr=0.098615 Epoch[046] Batch [0649]/[3759] Speed: 95.718802 samples/sec accuracy=32.704327 loss=3.051796 lr=0.098611 Epoch[046] Batch [0699]/[3759] Speed: 95.699361 samples/sec accuracy=32.691964 loss=3.052748 lr=0.098608 Epoch[046] Batch [0749]/[3759] Speed: 94.897448 samples/sec accuracy=32.610417 loss=3.055250 lr=0.098605 Epoch[046] Batch [0799]/[3759] Speed: 96.109893 samples/sec accuracy=32.716797 loss=3.050562 lr=0.098602 Epoch[046] 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accuracy=32.806490 loss=3.052770 lr=0.098572 Epoch[046] Batch [1349]/[3759] Speed: 96.256390 samples/sec accuracy=32.840278 loss=3.051877 lr=0.098569 Epoch[046] Batch [1399]/[3759] Speed: 95.792127 samples/sec accuracy=32.840402 loss=3.051704 lr=0.098566 Epoch[046] Batch [1449]/[3759] Speed: 96.592430 samples/sec accuracy=32.806034 loss=3.053275 lr=0.098563 Epoch[046] Batch [1499]/[3759] Speed: 95.667683 samples/sec accuracy=32.761458 loss=3.055408 lr=0.098560 Epoch[046] Batch [1549]/[3759] Speed: 96.456396 samples/sec accuracy=32.782258 loss=3.055104 lr=0.098557 Epoch[046] Batch [1599]/[3759] Speed: 95.140488 samples/sec accuracy=32.799805 loss=3.056698 lr=0.098554 Epoch[046] Batch [1649]/[3759] Speed: 96.357910 samples/sec accuracy=32.744318 loss=3.058909 lr=0.098550 Epoch[046] Batch [1699]/[3759] Speed: 95.145294 samples/sec accuracy=32.798713 loss=3.057718 lr=0.098547 Epoch[046] Batch [1749]/[3759] Speed: 95.383774 samples/sec accuracy=32.768750 loss=3.058547 lr=0.098544 Epoch[046] 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accuracy=32.628472 loss=3.064878 lr=0.098513 Epoch[046] Batch [2299]/[3759] Speed: 95.027529 samples/sec accuracy=32.641304 loss=3.063604 lr=0.098510 Epoch[046] Batch [2349]/[3759] Speed: 96.305119 samples/sec accuracy=32.650931 loss=3.063456 lr=0.098507 Epoch[046] Batch [2399]/[3759] Speed: 94.775254 samples/sec accuracy=32.630208 loss=3.064978 lr=0.098504 Epoch[046] Batch [2449]/[3759] Speed: 95.801014 samples/sec accuracy=32.589923 loss=3.066411 lr=0.098501 Epoch[046] Batch [2499]/[3759] Speed: 95.506144 samples/sec accuracy=32.554375 loss=3.068390 lr=0.098498 Epoch[046] Batch [2549]/[3759] Speed: 96.095756 samples/sec accuracy=32.558211 loss=3.068477 lr=0.098494 Epoch[046] Batch [2599]/[3759] Speed: 95.576697 samples/sec accuracy=32.546274 loss=3.068870 lr=0.098491 Epoch[046] Batch [2649]/[3759] Speed: 95.457141 samples/sec accuracy=32.564269 loss=3.067472 lr=0.098488 Epoch[046] Batch [2699]/[3759] Speed: 95.581780 samples/sec accuracy=32.550926 loss=3.067860 lr=0.098485 Epoch[046] 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accuracy=32.568359 loss=3.068192 lr=0.098453 Epoch[046] Batch [3249]/[3759] Speed: 95.049725 samples/sec accuracy=32.565385 loss=3.068979 lr=0.098450 Epoch[046] Batch [3299]/[3759] Speed: 96.712243 samples/sec accuracy=32.561080 loss=3.068613 lr=0.098447 Epoch[046] Batch [3349]/[3759] Speed: 96.007148 samples/sec accuracy=32.543843 loss=3.069306 lr=0.098444 Epoch[046] Batch [3399]/[3759] Speed: 95.718493 samples/sec accuracy=32.544577 loss=3.069475 lr=0.098441 Epoch[046] Batch [3449]/[3759] Speed: 95.821260 samples/sec accuracy=32.529438 loss=3.069784 lr=0.098437 Epoch[046] Batch [3499]/[3759] Speed: 95.380285 samples/sec accuracy=32.547321 loss=3.068765 lr=0.098434 Epoch[046] Batch [3549]/[3759] Speed: 95.277341 samples/sec accuracy=32.541373 loss=3.068908 lr=0.098431 Epoch[046] Batch [3599]/[3759] Speed: 95.070853 samples/sec accuracy=32.543837 loss=3.069214 lr=0.098428 Epoch[046] Batch [3649]/[3759] Speed: 95.001692 samples/sec accuracy=32.536815 loss=3.069595 lr=0.098425 Epoch[046] Batch [3699]/[3759] Speed: 96.531381 samples/sec accuracy=32.536740 loss=3.069174 lr=0.098421 Epoch[046] Batch [3749]/[3759] Speed: 108.639632 samples/sec accuracy=32.536667 loss=3.068969 lr=0.098418 Batch [0049]/[0303]: acc-top1=32.031250 acc-top5=59.531250 Batch [0099]/[0303]: acc-top1=29.312500 acc-top5=55.875000 Batch [0149]/[0303]: acc-top1=30.750000 acc-top5=57.125000 Batch [0199]/[0303]: acc-top1=33.429688 acc-top5=59.835938 Batch [0249]/[0303]: acc-top1=33.175000 acc-top5=59.706250 Batch [0299]/[0303]: acc-top1=32.739583 acc-top5=59.828125 [Epoch 046] training: accuracy=32.528598 loss=3.069293 [Epoch 046] speed: 95 samples/sec time cost: 2720.087400 [Epoch 046] validation: acc-top1=32.729992 acc-top5=59.844266 loss=3.263858 Epoch[047] Batch [0049]/[3760] Speed: 66.256866 samples/sec accuracy=34.468750 loss=2.979071 lr=0.098414 Epoch[047] Batch [0099]/[3760] Speed: 93.241734 samples/sec accuracy=33.953125 loss=2.994709 lr=0.098411 Epoch[047] Batch [0149]/[3760] Speed: 96.464852 samples/sec accuracy=34.041667 loss=2.998293 lr=0.098408 Epoch[047] Batch [0199]/[3760] Speed: 94.072130 samples/sec accuracy=33.710938 loss=3.018918 lr=0.098405 Epoch[047] Batch [0249]/[3760] Speed: 95.584745 samples/sec accuracy=33.462500 loss=3.023875 lr=0.098401 Epoch[047] Batch [0299]/[3760] Speed: 95.274921 samples/sec accuracy=33.583333 loss=3.014775 lr=0.098398 Epoch[047] Batch [0349]/[3760] Speed: 95.970798 samples/sec accuracy=33.544643 loss=3.021791 lr=0.098395 Epoch[047] Batch [0399]/[3760] Speed: 94.958025 samples/sec accuracy=33.375000 loss=3.026316 lr=0.098392 Epoch[047] Batch [0449]/[3760] Speed: 96.265993 samples/sec accuracy=33.236111 loss=3.028873 lr=0.098388 Epoch[047] Batch [0499]/[3760] Speed: 95.649523 samples/sec accuracy=33.237500 loss=3.032973 lr=0.098385 Epoch[047] Batch [0549]/[3760] Speed: 95.381691 samples/sec accuracy=33.252841 loss=3.034180 lr=0.098382 Epoch[047] Batch [0599]/[3760] Speed: 95.461539 samples/sec accuracy=33.276042 loss=3.037563 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lr=0.098316 Epoch[047] Batch [1599]/[3760] Speed: 95.133954 samples/sec accuracy=33.059570 loss=3.045492 lr=0.098313 Epoch[047] Batch [1649]/[3760] Speed: 95.395242 samples/sec accuracy=33.067235 loss=3.044860 lr=0.098310 Epoch[047] Batch [1699]/[3760] Speed: 95.132795 samples/sec accuracy=33.011029 loss=3.047595 lr=0.098306 Epoch[047] Batch [1749]/[3760] Speed: 96.819443 samples/sec accuracy=32.964286 loss=3.048205 lr=0.098303 Epoch[047] Batch [1799]/[3760] Speed: 94.165437 samples/sec accuracy=32.934896 loss=3.049786 lr=0.098300 Epoch[047] Batch [1849]/[3760] Speed: 97.678517 samples/sec accuracy=32.929899 loss=3.049777 lr=0.098296 Epoch[047] Batch [1899]/[3760] Speed: 94.681044 samples/sec accuracy=32.941612 loss=3.049975 lr=0.098293 Epoch[047] Batch [1949]/[3760] Speed: 96.279969 samples/sec accuracy=32.943910 loss=3.050184 lr=0.098290 Epoch[047] Batch [1999]/[3760] Speed: 96.241470 samples/sec accuracy=32.927344 loss=3.051486 lr=0.098286 Epoch[047] Batch [2049]/[3760] Speed: 95.026961 samples/sec accuracy=32.880335 loss=3.052969 lr=0.098283 Epoch[047] Batch [2099]/[3760] Speed: 96.157242 samples/sec accuracy=32.871280 loss=3.053614 lr=0.098280 Epoch[047] Batch [2149]/[3760] Speed: 95.076232 samples/sec accuracy=32.855378 loss=3.054717 lr=0.098276 Epoch[047] Batch [2199]/[3760] Speed: 95.873356 samples/sec accuracy=32.860085 loss=3.054984 lr=0.098273 Epoch[047] Batch [2249]/[3760] Speed: 95.541407 samples/sec accuracy=32.868056 loss=3.054626 lr=0.098269 Epoch[047] Batch [2299]/[3760] Speed: 95.149081 samples/sec accuracy=32.866168 loss=3.055076 lr=0.098266 Epoch[047] Batch [2349]/[3760] Speed: 96.297260 samples/sec accuracy=32.831117 loss=3.056405 lr=0.098263 Epoch[047] Batch [2399]/[3760] Speed: 96.022154 samples/sec accuracy=32.826172 loss=3.056766 lr=0.098259 Epoch[047] Batch [2449]/[3760] Speed: 95.755081 samples/sec accuracy=32.828444 loss=3.056672 lr=0.098256 Epoch[047] Batch [2499]/[3760] Speed: 96.171407 samples/sec accuracy=32.800000 loss=3.057372 lr=0.098253 Epoch[047] Batch [2549]/[3760] Speed: 95.177105 samples/sec accuracy=32.799020 loss=3.058152 lr=0.098249 Epoch[047] Batch [2599]/[3760] Speed: 95.658491 samples/sec accuracy=32.777644 loss=3.057519 lr=0.098246 Epoch[047] Batch [2649]/[3760] Speed: 95.987790 samples/sec accuracy=32.757075 loss=3.057914 lr=0.098242 Epoch[047] Batch [2699]/[3760] Speed: 95.674878 samples/sec accuracy=32.767361 loss=3.057647 lr=0.098239 Epoch[047] Batch [2749]/[3760] Speed: 95.297491 samples/sec accuracy=32.751136 loss=3.058194 lr=0.098236 Epoch[047] Batch [2799]/[3760] Speed: 95.905355 samples/sec accuracy=32.740513 loss=3.059658 lr=0.098232 Epoch[047] Batch [2849]/[3760] Speed: 94.422728 samples/sec accuracy=32.732456 loss=3.060526 lr=0.098229 Epoch[047] Batch [2899]/[3760] Speed: 96.981338 samples/sec accuracy=32.735453 loss=3.059933 lr=0.098225 Epoch[047] Batch [2949]/[3760] Speed: 94.079011 samples/sec accuracy=32.729343 loss=3.059424 lr=0.098222 Epoch[047] Batch [2999]/[3760] Speed: 95.283910 samples/sec accuracy=32.715104 loss=3.059915 lr=0.098219 Epoch[047] Batch [3049]/[3760] Speed: 95.416146 samples/sec accuracy=32.714139 loss=3.059892 lr=0.098215 Epoch[047] Batch [3099]/[3760] Speed: 95.554663 samples/sec accuracy=32.699093 loss=3.060843 lr=0.098212 Epoch[047] Batch [3149]/[3760] Speed: 94.967543 samples/sec accuracy=32.706349 loss=3.060299 lr=0.098208 Epoch[047] Batch [3199]/[3760] Speed: 95.328918 samples/sec accuracy=32.715332 loss=3.060250 lr=0.098205 Epoch[047] Batch [3249]/[3760] Speed: 95.442642 samples/sec accuracy=32.732212 loss=3.060883 lr=0.098202 Epoch[047] Batch [3299]/[3760] Speed: 96.961810 samples/sec accuracy=32.738636 loss=3.060612 lr=0.098198 Epoch[047] Batch [3349]/[3760] Speed: 96.397830 samples/sec accuracy=32.733675 loss=3.061273 lr=0.098195 Epoch[047] Batch [3399]/[3760] Speed: 95.768350 samples/sec accuracy=32.744945 loss=3.061324 lr=0.098191 Epoch[047] Batch [3449]/[3760] Speed: 96.093936 samples/sec accuracy=32.750000 loss=3.061816 lr=0.098188 Epoch[047] Batch [3499]/[3760] Speed: 95.019807 samples/sec accuracy=32.759821 loss=3.060497 lr=0.098184 Epoch[047] Batch [3549]/[3760] Speed: 95.768458 samples/sec accuracy=32.743838 loss=3.061425 lr=0.098181 Epoch[047] Batch [3599]/[3760] Speed: 95.817784 samples/sec accuracy=32.724826 loss=3.062416 lr=0.098177 Epoch[047] Batch [3649]/[3760] Speed: 96.101960 samples/sec accuracy=32.727740 loss=3.062284 lr=0.098174 Epoch[047] Batch [3699]/[3760] Speed: 95.095817 samples/sec accuracy=32.728885 loss=3.061994 lr=0.098171 Epoch[047] Batch [3749]/[3760] Speed: 109.074555 samples/sec accuracy=32.727500 loss=3.062250 lr=0.098167 Batch [0049]/[0303]: acc-top1=31.937500 acc-top5=59.375000 Batch [0099]/[0303]: acc-top1=29.265625 acc-top5=56.281250 Batch [0149]/[0303]: acc-top1=31.500000 acc-top5=57.927083 Batch [0199]/[0303]: acc-top1=33.304688 acc-top5=59.765625 Batch [0249]/[0303]: acc-top1=32.787500 acc-top5=59.406250 Batch [0299]/[0303]: acc-top1=31.947917 acc-top5=59.338542 [Epoch 047] training: accuracy=32.720246 loss=3.062786 [Epoch 047] speed: 95 samples/sec time cost: 2725.148132 [Epoch 047] validation: acc-top1=31.910066 acc-top5=59.292492 loss=3.293895 Epoch[048] Batch [0049]/[3760] Speed: 66.276208 samples/sec accuracy=32.281250 loss=3.045847 lr=0.098163 Epoch[048] Batch [0099]/[3760] Speed: 93.673172 samples/sec accuracy=32.328125 loss=3.040940 lr=0.098159 Epoch[048] Batch [0149]/[3760] Speed: 96.239664 samples/sec accuracy=32.614583 loss=3.025410 lr=0.098156 Epoch[048] Batch [0199]/[3760] Speed: 95.414126 samples/sec accuracy=32.992188 loss=3.030481 lr=0.098153 Epoch[048] Batch [0249]/[3760] Speed: 95.438843 samples/sec accuracy=32.950000 loss=3.026143 lr=0.098149 Epoch[048] Batch [0299]/[3760] Speed: 95.578169 samples/sec accuracy=33.026042 loss=3.021409 lr=0.098146 Epoch[048] Batch [0349]/[3760] Speed: 95.765889 samples/sec accuracy=32.808036 loss=3.030071 lr=0.098142 Epoch[048] Batch [0399]/[3760] Speed: 96.051480 samples/sec accuracy=32.781250 loss=3.035655 lr=0.098139 Epoch[048] Batch [0449]/[3760] Speed: 95.095113 samples/sec accuracy=32.746528 loss=3.034883 lr=0.098135 Epoch[048] Batch [0499]/[3760] Speed: 95.557520 samples/sec accuracy=32.825000 loss=3.033824 lr=0.098132 Epoch[048] Batch [0549]/[3760] Speed: 95.887537 samples/sec accuracy=32.869318 loss=3.033406 lr=0.098128 Epoch[048] Batch [0599]/[3760] Speed: 96.864354 samples/sec accuracy=32.919271 loss=3.038497 lr=0.098125 Epoch[048] Batch [0649]/[3760] Speed: 95.153556 samples/sec accuracy=32.906250 loss=3.040164 lr=0.098121 Epoch[048] Batch [0699]/[3760] Speed: 97.379813 samples/sec accuracy=32.870536 loss=3.041353 lr=0.098118 Epoch[048] Batch [0749]/[3760] Speed: 95.073592 samples/sec accuracy=32.922917 loss=3.041985 lr=0.098114 Epoch[048] Batch [0799]/[3760] Speed: 95.944388 samples/sec accuracy=32.923828 loss=3.038927 lr=0.098111 Epoch[048] Batch [0849]/[3760] Speed: 96.452135 samples/sec accuracy=32.974265 loss=3.037510 lr=0.098107 Epoch[048] 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accuracy=32.680556 loss=3.050562 lr=0.098072 Epoch[048] Batch [1399]/[3760] Speed: 96.696323 samples/sec accuracy=32.685268 loss=3.049925 lr=0.098068 Epoch[048] Batch [1449]/[3760] Speed: 95.042864 samples/sec accuracy=32.649784 loss=3.050771 lr=0.098065 Epoch[048] Batch [1499]/[3760] Speed: 95.759669 samples/sec accuracy=32.606250 loss=3.053653 lr=0.098061 Epoch[048] Batch [1549]/[3760] Speed: 96.252440 samples/sec accuracy=32.594758 loss=3.054932 lr=0.098058 Epoch[048] Batch [1599]/[3760] Speed: 95.870136 samples/sec accuracy=32.550781 loss=3.056800 lr=0.098054 Epoch[048] Batch [1649]/[3760] Speed: 96.069262 samples/sec accuracy=32.570076 loss=3.056736 lr=0.098050 Epoch[048] Batch [1699]/[3760] Speed: 95.186545 samples/sec accuracy=32.618566 loss=3.054750 lr=0.098047 Epoch[048] Batch [1749]/[3760] Speed: 96.631356 samples/sec accuracy=32.595536 loss=3.055704 lr=0.098043 Epoch[048] Batch [1799]/[3760] Speed: 96.062491 samples/sec accuracy=32.585069 loss=3.055419 lr=0.098040 Epoch[048] 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accuracy=32.648777 loss=3.058143 lr=0.098004 Epoch[048] Batch [2349]/[3760] Speed: 96.357111 samples/sec accuracy=32.671543 loss=3.056844 lr=0.098000 Epoch[048] Batch [2399]/[3760] Speed: 95.277617 samples/sec accuracy=32.640625 loss=3.058741 lr=0.097997 Epoch[048] Batch [2449]/[3760] Speed: 95.971387 samples/sec accuracy=32.632015 loss=3.059376 lr=0.097993 Epoch[048] Batch [2499]/[3760] Speed: 96.318305 samples/sec accuracy=32.638125 loss=3.059325 lr=0.097989 Epoch[048] Batch [2549]/[3760] Speed: 95.837740 samples/sec accuracy=32.602941 loss=3.060434 lr=0.097986 Epoch[048] Batch [2599]/[3760] Speed: 95.444981 samples/sec accuracy=32.594952 loss=3.060104 lr=0.097982 Epoch[048] Batch [2649]/[3760] Speed: 96.558517 samples/sec accuracy=32.620873 loss=3.059387 lr=0.097978 Epoch[048] Batch [2699]/[3760] Speed: 95.170029 samples/sec accuracy=32.638889 loss=3.058789 lr=0.097975 Epoch[048] Batch [2749]/[3760] Speed: 95.730790 samples/sec accuracy=32.647159 loss=3.058992 lr=0.097971 Epoch[048] 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accuracy=32.584615 loss=3.062774 lr=0.097935 Epoch[048] Batch [3299]/[3760] Speed: 96.958830 samples/sec accuracy=32.571496 loss=3.062945 lr=0.097931 Epoch[048] Batch [3349]/[3760] Speed: 96.045592 samples/sec accuracy=32.575093 loss=3.063206 lr=0.097927 Epoch[048] Batch [3399]/[3760] Speed: 95.466254 samples/sec accuracy=32.579504 loss=3.062788 lr=0.097924 Epoch[048] Batch [3449]/[3760] Speed: 97.027728 samples/sec accuracy=32.563406 loss=3.063242 lr=0.097920 Epoch[048] Batch [3499]/[3760] Speed: 95.196488 samples/sec accuracy=32.558482 loss=3.062974 lr=0.097916 Epoch[048] Batch [3549]/[3760] Speed: 95.169961 samples/sec accuracy=32.576585 loss=3.062780 lr=0.097913 Epoch[048] Batch [3599]/[3760] Speed: 96.270069 samples/sec accuracy=32.572483 loss=3.063332 lr=0.097909 Epoch[048] Batch [3649]/[3760] Speed: 96.380515 samples/sec accuracy=32.573630 loss=3.063769 lr=0.097905 Epoch[048] Batch [3699]/[3760] Speed: 95.505308 samples/sec accuracy=32.581503 loss=3.063617 lr=0.097902 Epoch[048] Batch [3749]/[3760] Speed: 106.715877 samples/sec accuracy=32.572917 loss=3.063890 lr=0.097898 Batch [0049]/[0303]: acc-top1=33.656250 acc-top5=59.968750 Batch [0099]/[0303]: acc-top1=31.421875 acc-top5=58.609375 Batch [0149]/[0303]: acc-top1=32.447917 acc-top5=59.166667 Batch [0199]/[0303]: acc-top1=35.429688 acc-top5=61.617188 Batch [0249]/[0303]: acc-top1=34.381250 acc-top5=60.925000 Batch [0299]/[0303]: acc-top1=33.859375 acc-top5=61.114583 [Epoch 048] training: accuracy=32.573969 loss=3.063964 [Epoch 048] speed: 95 samples/sec time cost: 2716.607781 [Epoch 048] validation: acc-top1=33.900578 acc-top5=61.143771 loss=3.086010 Epoch[049] Batch [0049]/[3759] Speed: 66.895535 samples/sec accuracy=31.500000 loss=3.090515 lr=0.097893 Epoch[049] Batch [0099]/[3759] Speed: 93.552846 samples/sec accuracy=32.703125 loss=3.045158 lr=0.097890 Epoch[049] Batch [0149]/[3759] Speed: 95.883442 samples/sec accuracy=33.104167 loss=3.028976 lr=0.097886 Epoch[049] Batch [0199]/[3759] Speed: 95.381646 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lr=0.097849 Epoch[049] Batch [0699]/[3759] Speed: 96.868443 samples/sec accuracy=33.330357 loss=3.026704 lr=0.097845 Epoch[049] Batch [0749]/[3759] Speed: 94.819265 samples/sec accuracy=33.266667 loss=3.029032 lr=0.097841 Epoch[049] Batch [0799]/[3759] Speed: 97.033104 samples/sec accuracy=33.234375 loss=3.031847 lr=0.097837 Epoch[049] Batch [0849]/[3759] Speed: 96.358239 samples/sec accuracy=33.128676 loss=3.038297 lr=0.097834 Epoch[049] Batch [0899]/[3759] Speed: 95.644467 samples/sec accuracy=33.119792 loss=3.037926 lr=0.097830 Epoch[049] Batch [0949]/[3759] Speed: 96.377597 samples/sec accuracy=33.126645 loss=3.039087 lr=0.097826 Epoch[049] Batch [0999]/[3759] Speed: 95.577054 samples/sec accuracy=33.064063 loss=3.043064 lr=0.097822 Epoch[049] Batch [1049]/[3759] Speed: 96.443912 samples/sec accuracy=33.029762 loss=3.045212 lr=0.097819 Epoch[049] Batch [1099]/[3759] Speed: 95.965553 samples/sec accuracy=33.031250 loss=3.044037 lr=0.097815 Epoch[049] Batch [1149]/[3759] Speed: 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lr=0.097777 Epoch[049] Batch [1649]/[3759] Speed: 97.087893 samples/sec accuracy=33.020833 loss=3.043336 lr=0.097773 Epoch[049] Batch [1699]/[3759] Speed: 96.636455 samples/sec accuracy=33.017463 loss=3.044564 lr=0.097769 Epoch[049] Batch [1749]/[3759] Speed: 95.459662 samples/sec accuracy=32.981250 loss=3.045448 lr=0.097766 Epoch[049] Batch [1799]/[3759] Speed: 96.636114 samples/sec accuracy=32.952257 loss=3.047296 lr=0.097762 Epoch[049] Batch [1849]/[3759] Speed: 95.899256 samples/sec accuracy=32.944257 loss=3.047756 lr=0.097758 Epoch[049] Batch [1899]/[3759] Speed: 96.759306 samples/sec accuracy=32.944079 loss=3.047210 lr=0.097754 Epoch[049] Batch [1949]/[3759] Speed: 95.786191 samples/sec accuracy=32.927083 loss=3.047648 lr=0.097750 Epoch[049] Batch [1999]/[3759] Speed: 97.317169 samples/sec accuracy=32.963281 loss=3.046588 lr=0.097747 Epoch[049] Batch [2049]/[3759] Speed: 95.634326 samples/sec accuracy=32.942835 loss=3.047501 lr=0.097743 Epoch[049] Batch [2099]/[3759] Speed: 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lr=0.097704 Epoch[049] Batch [2599]/[3759] Speed: 96.040366 samples/sec accuracy=32.840144 loss=3.049878 lr=0.097700 Epoch[049] Batch [2649]/[3759] Speed: 96.623384 samples/sec accuracy=32.835495 loss=3.049897 lr=0.097696 Epoch[049] Batch [2699]/[3759] Speed: 96.787876 samples/sec accuracy=32.835648 loss=3.049843 lr=0.097693 Epoch[049] Batch [2749]/[3759] Speed: 96.377704 samples/sec accuracy=32.813636 loss=3.050451 lr=0.097689 Epoch[049] Batch [2799]/[3759] Speed: 95.948358 samples/sec accuracy=32.790179 loss=3.050716 lr=0.097685 Epoch[049] Batch [2849]/[3759] Speed: 96.547704 samples/sec accuracy=32.788377 loss=3.050976 lr=0.097681 Epoch[049] Batch [2899]/[3759] Speed: 95.650867 samples/sec accuracy=32.774246 loss=3.051521 lr=0.097677 Epoch[049] Batch [2949]/[3759] Speed: 96.409684 samples/sec accuracy=32.746292 loss=3.052909 lr=0.097673 Epoch[049] Batch [2999]/[3759] Speed: 96.105449 samples/sec accuracy=32.758333 loss=3.053412 lr=0.097669 Epoch[049] Batch [3049]/[3759] Speed: 97.065594 samples/sec accuracy=32.747439 loss=3.053355 lr=0.097665 Epoch[049] Batch [3099]/[3759] Speed: 95.057461 samples/sec accuracy=32.755544 loss=3.053103 lr=0.097662 Epoch[049] Batch [3149]/[3759] Speed: 96.705828 samples/sec accuracy=32.739583 loss=3.054885 lr=0.097658 Epoch[049] Batch [3199]/[3759] Speed: 96.310315 samples/sec accuracy=32.759766 loss=3.054049 lr=0.097654 Epoch[049] Batch [3249]/[3759] Speed: 96.882868 samples/sec accuracy=32.763462 loss=3.053994 lr=0.097650 Epoch[049] Batch [3299]/[3759] Speed: 96.976306 samples/sec accuracy=32.736269 loss=3.055632 lr=0.097646 Epoch[049] Batch [3349]/[3759] Speed: 96.186956 samples/sec accuracy=32.764459 loss=3.054847 lr=0.097642 Epoch[049] Batch [3399]/[3759] Speed: 96.012668 samples/sec accuracy=32.742647 loss=3.055160 lr=0.097638 Epoch[049] Batch [3449]/[3759] Speed: 96.107709 samples/sec accuracy=32.733243 loss=3.054923 lr=0.097634 Epoch[049] Batch [3499]/[3759] Speed: 96.917487 samples/sec accuracy=32.740179 loss=3.055372 lr=0.097630 Epoch[049] Batch [3549]/[3759] Speed: 95.294276 samples/sec accuracy=32.743838 loss=3.056072 lr=0.097626 Epoch[049] Batch [3599]/[3759] Speed: 95.692007 samples/sec accuracy=32.710069 loss=3.057298 lr=0.097622 Epoch[049] Batch [3649]/[3759] Speed: 96.327416 samples/sec accuracy=32.713613 loss=3.057063 lr=0.097618 Epoch[049] Batch [3699]/[3759] Speed: 95.465329 samples/sec accuracy=32.720439 loss=3.056853 lr=0.097615 Epoch[049] Batch [3749]/[3759] Speed: 110.423532 samples/sec accuracy=32.718750 loss=3.056119 lr=0.097611 Batch [0049]/[0303]: acc-top1=31.625000 acc-top5=56.875000 Batch [0099]/[0303]: acc-top1=29.031250 acc-top5=55.828125 Batch [0149]/[0303]: acc-top1=31.385417 acc-top5=57.343750 Batch [0199]/[0303]: acc-top1=34.210938 acc-top5=59.953125 Batch [0249]/[0303]: acc-top1=33.162500 acc-top5=59.525000 Batch [0299]/[0303]: acc-top1=32.208333 acc-top5=59.322917 [Epoch 049] training: accuracy=32.723547 loss=3.055982 [Epoch 049] speed: 95 samples/sec time cost: 2707.861984 [Epoch 049] validation: acc-top1=32.152434 acc-top5=59.261551 loss=3.350079 Epoch[050] Batch [0049]/[3760] Speed: 65.830594 samples/sec accuracy=34.312500 loss=2.997172 lr=0.097606 Epoch[050] Batch [0099]/[3760] Speed: 93.412995 samples/sec accuracy=33.234375 loss=3.017429 lr=0.097602 Epoch[050] Batch [0149]/[3760] Speed: 96.929389 samples/sec accuracy=33.614583 loss=3.011333 lr=0.097598 Epoch[050] Batch [0199]/[3760] Speed: 95.410552 samples/sec accuracy=33.179688 loss=3.036670 lr=0.097594 Epoch[050] Batch [0249]/[3760] Speed: 96.286528 samples/sec accuracy=33.068750 loss=3.039021 lr=0.097590 Epoch[050] Batch [0299]/[3760] Speed: 95.562520 samples/sec accuracy=32.906250 loss=3.050886 lr=0.097586 Epoch[050] Batch [0349]/[3760] Speed: 96.555746 samples/sec accuracy=32.691964 loss=3.057224 lr=0.097582 Epoch[050] Batch [0399]/[3760] Speed: 96.310703 samples/sec accuracy=32.937500 loss=3.050977 lr=0.097578 Epoch[050] Batch [0449]/[3760] Speed: 96.048995 samples/sec accuracy=32.833333 loss=3.049973 lr=0.097574 Epoch[050] Batch [0499]/[3760] Speed: 96.210181 samples/sec accuracy=32.928125 loss=3.047167 lr=0.097570 Epoch[050] Batch [0549]/[3760] Speed: 95.765885 samples/sec accuracy=32.767045 loss=3.050315 lr=0.097566 Epoch[050] Batch [0599]/[3760] Speed: 96.383290 samples/sec accuracy=32.799479 loss=3.048544 lr=0.097562 Epoch[050] Batch [0649]/[3760] Speed: 96.201099 samples/sec accuracy=32.795673 loss=3.044752 lr=0.097558 Epoch[050] Batch [0699]/[3760] Speed: 95.605192 samples/sec accuracy=32.828125 loss=3.045291 lr=0.097554 Epoch[050] Batch [0749]/[3760] Speed: 96.585976 samples/sec accuracy=32.797917 loss=3.046335 lr=0.097550 Epoch[050] Batch [0799]/[3760] Speed: 95.991209 samples/sec accuracy=32.689453 loss=3.048760 lr=0.097546 Epoch[050] Batch [0849]/[3760] Speed: 96.247855 samples/sec accuracy=32.691176 loss=3.049996 lr=0.097542 Epoch[050] Batch [0899]/[3760] Speed: 95.933730 samples/sec accuracy=32.697917 loss=3.050578 lr=0.097538 Epoch[050] Batch [0949]/[3760] Speed: 95.023323 samples/sec accuracy=32.758224 loss=3.047323 lr=0.097534 Epoch[050] Batch [0999]/[3760] Speed: 97.008820 samples/sec accuracy=32.776562 loss=3.048221 lr=0.097530 Epoch[050] Batch [1049]/[3760] Speed: 95.641942 samples/sec accuracy=32.797619 loss=3.048318 lr=0.097526 Epoch[050] Batch [1099]/[3760] Speed: 96.623680 samples/sec accuracy=32.825284 loss=3.046757 lr=0.097522 Epoch[050] Batch [1149]/[3760] Speed: 96.027908 samples/sec accuracy=32.816576 loss=3.047769 lr=0.097518 Epoch[050] Batch [1199]/[3760] Speed: 95.986164 samples/sec accuracy=32.875000 loss=3.046789 lr=0.097514 Epoch[050] Batch [1249]/[3760] Speed: 95.422948 samples/sec accuracy=32.840000 loss=3.047524 lr=0.097510 Epoch[050] Batch [1299]/[3760] Speed: 97.339619 samples/sec accuracy=32.840144 loss=3.047918 lr=0.097506 Epoch[050] Batch [1349]/[3760] Speed: 96.139085 samples/sec accuracy=32.818287 loss=3.050415 lr=0.097502 Epoch[050] Batch [1399]/[3760] Speed: 96.176085 samples/sec accuracy=32.821429 loss=3.051422 lr=0.097498 Epoch[050] Batch [1449]/[3760] Speed: 95.241818 samples/sec accuracy=32.830819 loss=3.051782 lr=0.097494 Epoch[050] Batch [1499]/[3760] Speed: 95.837977 samples/sec accuracy=32.818750 loss=3.051889 lr=0.097490 Epoch[050] Batch [1549]/[3760] Speed: 95.908913 samples/sec accuracy=32.858871 loss=3.050128 lr=0.097486 Epoch[050] Batch [1599]/[3760] Speed: 94.661807 samples/sec accuracy=32.849609 loss=3.050243 lr=0.097482 Epoch[050] Batch [1649]/[3760] Speed: 96.708240 samples/sec accuracy=32.855114 loss=3.049589 lr=0.097478 Epoch[050] Batch [1699]/[3760] Speed: 96.076240 samples/sec accuracy=32.841912 loss=3.048680 lr=0.097474 Epoch[050] Batch [1749]/[3760] Speed: 95.201010 samples/sec accuracy=32.816071 loss=3.050514 lr=0.097470 Epoch[050] Batch [1799]/[3760] Speed: 94.823409 samples/sec accuracy=32.802083 loss=3.049742 lr=0.097466 Epoch[050] Batch [1849]/[3760] Speed: 96.354779 samples/sec accuracy=32.803209 loss=3.048404 lr=0.097462 Epoch[050] Batch [1899]/[3760] Speed: 95.767572 samples/sec accuracy=32.812500 loss=3.049681 lr=0.097458 Epoch[050] Batch [1949]/[3760] Speed: 95.670478 samples/sec accuracy=32.801282 loss=3.049645 lr=0.097454 Epoch[050] Batch [1999]/[3760] Speed: 95.994579 samples/sec accuracy=32.828906 loss=3.048362 lr=0.097450 Epoch[050] Batch [2049]/[3760] Speed: 95.341736 samples/sec accuracy=32.845274 loss=3.048167 lr=0.097446 Epoch[050] Batch [2099]/[3760] Speed: 96.588104 samples/sec accuracy=32.865327 loss=3.047778 lr=0.097442 Epoch[050] Batch [2149]/[3760] Speed: 95.558254 samples/sec accuracy=32.912791 loss=3.046317 lr=0.097438 Epoch[050] Batch [2199]/[3760] Speed: 96.129254 samples/sec accuracy=32.931108 loss=3.046761 lr=0.097433 Epoch[050] Batch [2249]/[3760] Speed: 97.078320 samples/sec accuracy=32.915278 loss=3.048264 lr=0.097429 Epoch[050] Batch [2299]/[3760] Speed: 95.054717 samples/sec accuracy=32.898098 loss=3.048898 lr=0.097425 Epoch[050] Batch [2349]/[3760] Speed: 96.572393 samples/sec accuracy=32.890293 loss=3.049047 lr=0.097421 Epoch[050] Batch [2399]/[3760] Speed: 95.372226 samples/sec accuracy=32.904297 loss=3.049252 lr=0.097417 Epoch[050] Batch [2449]/[3760] Speed: 95.292756 samples/sec accuracy=32.897959 loss=3.048878 lr=0.097413 Epoch[050] Batch [2499]/[3760] Speed: 96.427556 samples/sec accuracy=32.891250 loss=3.048981 lr=0.097409 Epoch[050] Batch [2549]/[3760] Speed: 95.462605 samples/sec accuracy=32.890931 loss=3.049041 lr=0.097405 Epoch[050] Batch [2599]/[3760] Speed: 96.007673 samples/sec accuracy=32.884615 loss=3.049350 lr=0.097401 Epoch[050] Batch [2649]/[3760] Speed: 95.739008 samples/sec accuracy=32.888561 loss=3.049728 lr=0.097397 Epoch[050] Batch [2699]/[3760] Speed: 96.155502 samples/sec accuracy=32.889468 loss=3.049425 lr=0.097392 Epoch[050] Batch [2749]/[3760] Speed: 95.692046 samples/sec accuracy=32.872159 loss=3.050322 lr=0.097388 Epoch[050] Batch [2799]/[3760] Speed: 96.333253 samples/sec accuracy=32.866071 loss=3.050960 lr=0.097384 Epoch[050] Batch [2849]/[3760] Speed: 95.421425 samples/sec accuracy=32.859649 loss=3.051492 lr=0.097380 Epoch[050] Batch [2899]/[3760] Speed: 96.231627 samples/sec accuracy=32.854526 loss=3.051649 lr=0.097376 Epoch[050] Batch [2949]/[3760] Speed: 95.645582 samples/sec accuracy=32.841631 loss=3.052549 lr=0.097372 Epoch[050] Batch [2999]/[3760] Speed: 96.112524 samples/sec accuracy=32.852604 loss=3.052734 lr=0.097368 Epoch[050] Batch [3049]/[3760] Speed: 96.180061 samples/sec accuracy=32.859119 loss=3.052673 lr=0.097364 Epoch[050] Batch [3099]/[3760] Speed: 94.900351 samples/sec accuracy=32.851310 loss=3.052432 lr=0.097360 Epoch[050] Batch [3149]/[3760] Speed: 96.320343 samples/sec accuracy=32.851687 loss=3.052329 lr=0.097355 Epoch[050] Batch [3199]/[3760] Speed: 95.730827 samples/sec accuracy=32.829590 loss=3.052540 lr=0.097351 Epoch[050] Batch [3249]/[3760] Speed: 95.449267 samples/sec accuracy=32.831731 loss=3.053172 lr=0.097347 Epoch[050] Batch [3299]/[3760] Speed: 96.245582 samples/sec accuracy=32.835227 loss=3.053154 lr=0.097343 Epoch[050] Batch [3349]/[3760] Speed: 95.040458 samples/sec accuracy=32.813899 loss=3.053795 lr=0.097339 Epoch[050] Batch [3399]/[3760] Speed: 96.082037 samples/sec accuracy=32.815717 loss=3.053871 lr=0.097335 Epoch[050] Batch [3449]/[3760] Speed: 96.453764 samples/sec accuracy=32.825181 loss=3.053686 lr=0.097330 Epoch[050] Batch [3499]/[3760] Speed: 95.721429 samples/sec accuracy=32.839286 loss=3.053120 lr=0.097326 Epoch[050] Batch [3549]/[3760] Speed: 95.484518 samples/sec accuracy=32.824384 loss=3.053208 lr=0.097322 Epoch[050] Batch [3599]/[3760] Speed: 96.234793 samples/sec accuracy=32.816406 loss=3.053763 lr=0.097318 Epoch[050] Batch [3649]/[3760] Speed: 95.539222 samples/sec accuracy=32.829195 loss=3.053402 lr=0.097314 Epoch[050] Batch [3699]/[3760] Speed: 96.883498 samples/sec accuracy=32.826014 loss=3.053616 lr=0.097310 Epoch[050] Batch [3749]/[3760] Speed: 109.020690 samples/sec accuracy=32.811250 loss=3.054021 lr=0.097305 Batch [0049]/[0303]: acc-top1=35.875000 acc-top5=62.406250 Batch [0099]/[0303]: acc-top1=32.046875 acc-top5=57.937500 Batch [0149]/[0303]: acc-top1=34.333333 acc-top5=59.750000 Batch [0199]/[0303]: acc-top1=35.945312 acc-top5=61.500000 Batch [0249]/[0303]: acc-top1=35.125000 acc-top5=61.481250 Batch [0299]/[0303]: acc-top1=34.276042 acc-top5=61.156250 [Epoch 050] training: accuracy=32.810422 loss=3.054058 [Epoch 050] speed: 95 samples/sec time cost: 2714.960173 [Epoch 050] validation: acc-top1=34.328589 acc-top5=61.200495 loss=3.059973 Epoch[051] Batch [0049]/[3760] Speed: 66.205744 samples/sec accuracy=33.812500 loss=3.008782 lr=0.097300 Epoch[051] Batch [0099]/[3760] Speed: 92.962139 samples/sec accuracy=33.484375 loss=3.015879 lr=0.097296 Epoch[051] Batch [0149]/[3760] Speed: 97.071561 samples/sec accuracy=33.010417 loss=3.030158 lr=0.097292 Epoch[051] Batch [0199]/[3760] Speed: 94.937069 samples/sec accuracy=33.398438 loss=3.017835 lr=0.097288 Epoch[051] Batch [0249]/[3760] Speed: 98.061465 samples/sec accuracy=33.118750 loss=3.029820 lr=0.097284 Epoch[051] Batch [0299]/[3760] Speed: 96.041499 samples/sec accuracy=33.395833 loss=3.016853 lr=0.097280 Epoch[051] Batch [0349]/[3760] Speed: 95.930478 samples/sec accuracy=33.593750 loss=3.012716 lr=0.097275 Epoch[051] Batch [0399]/[3760] Speed: 96.458739 samples/sec accuracy=33.558594 loss=3.013851 lr=0.097271 Epoch[051] Batch [0449]/[3760] Speed: 95.772940 samples/sec accuracy=33.531250 loss=3.018562 lr=0.097267 Epoch[051] Batch [0499]/[3760] Speed: 96.362599 samples/sec accuracy=33.337500 loss=3.027909 lr=0.097263 Epoch[051] Batch [0549]/[3760] Speed: 95.278100 samples/sec accuracy=33.284091 loss=3.028291 lr=0.097259 Epoch[051] Batch [0599]/[3760] Speed: 96.369368 samples/sec accuracy=33.143229 loss=3.034555 lr=0.097254 Epoch[051] Batch [0649]/[3760] Speed: 94.764409 samples/sec accuracy=33.137019 loss=3.036308 lr=0.097250 Epoch[051] Batch [0699]/[3760] Speed: 96.886283 samples/sec accuracy=33.165179 loss=3.034713 lr=0.097246 Epoch[051] Batch [0749]/[3760] Speed: 95.226344 samples/sec accuracy=33.275000 loss=3.030895 lr=0.097242 Epoch[051] Batch [0799]/[3760] Speed: 96.825508 samples/sec accuracy=33.330078 loss=3.028599 lr=0.097237 Epoch[051] Batch [0849]/[3760] Speed: 95.995002 samples/sec accuracy=33.288603 loss=3.031936 lr=0.097233 Epoch[051] Batch [0899]/[3760] Speed: 94.671322 samples/sec accuracy=33.321181 loss=3.030208 lr=0.097229 Epoch[051] Batch [0949]/[3760] Speed: 96.449532 samples/sec accuracy=33.365132 loss=3.027738 lr=0.097225 Epoch[051] Batch [0999]/[3760] Speed: 96.563470 samples/sec accuracy=33.314063 loss=3.029642 lr=0.097220 Epoch[051] Batch [1049]/[3760] Speed: 95.873968 samples/sec accuracy=33.328869 loss=3.031035 lr=0.097216 Epoch[051] Batch [1099]/[3760] Speed: 96.399854 samples/sec accuracy=33.367898 loss=3.028332 lr=0.097212 Epoch[051] Batch [1149]/[3760] Speed: 96.113391 samples/sec accuracy=33.372283 loss=3.027947 lr=0.097208 Epoch[051] Batch [1199]/[3760] Speed: 95.717702 samples/sec accuracy=33.377604 loss=3.029804 lr=0.097203 Epoch[051] Batch [1249]/[3760] Speed: 96.925710 samples/sec accuracy=33.397500 loss=3.028884 lr=0.097199 Epoch[051] Batch [1299]/[3760] Speed: 95.438635 samples/sec accuracy=33.356971 loss=3.028350 lr=0.097195 Epoch[051] Batch [1349]/[3760] Speed: 96.592110 samples/sec accuracy=33.321759 loss=3.030680 lr=0.097191 Epoch[051] Batch [1399]/[3760] Speed: 95.545948 samples/sec accuracy=33.270089 loss=3.031239 lr=0.097186 Epoch[051] Batch [1449]/[3760] Speed: 94.898028 samples/sec accuracy=33.259698 loss=3.032535 lr=0.097182 Epoch[051] Batch [1499]/[3760] Speed: 95.355440 samples/sec accuracy=33.269792 loss=3.033260 lr=0.097178 Epoch[051] Batch [1549]/[3760] Speed: 94.640414 samples/sec accuracy=33.279234 loss=3.032274 lr=0.097174 Epoch[051] Batch [1599]/[3760] Speed: 95.876933 samples/sec accuracy=33.239258 loss=3.034743 lr=0.097169 Epoch[051] Batch [1649]/[3760] Speed: 95.828201 samples/sec accuracy=33.227273 loss=3.034218 lr=0.097165 Epoch[051] Batch [1699]/[3760] Speed: 95.788142 samples/sec accuracy=33.215074 loss=3.034154 lr=0.097161 Epoch[051] Batch [1749]/[3760] Speed: 95.319104 samples/sec accuracy=33.244643 loss=3.033844 lr=0.097157 Epoch[051] Batch [1799]/[3760] Speed: 96.177874 samples/sec accuracy=33.282986 loss=3.033064 lr=0.097152 Epoch[051] Batch [1849]/[3760] Speed: 94.036409 samples/sec accuracy=33.289696 loss=3.033511 lr=0.097148 Epoch[051] Batch [1899]/[3760] Speed: 97.663977 samples/sec accuracy=33.237664 loss=3.035926 lr=0.097144 Epoch[051] Batch [1949]/[3760] Speed: 95.313354 samples/sec accuracy=33.192308 loss=3.038184 lr=0.097139 Epoch[051] Batch [1999]/[3760] Speed: 95.986107 samples/sec accuracy=33.172656 loss=3.039117 lr=0.097135 Epoch[051] Batch [2049]/[3760] Speed: 95.961353 samples/sec accuracy=33.175305 loss=3.038568 lr=0.097131 Epoch[051] Batch [2099]/[3760] Speed: 95.728204 samples/sec accuracy=33.127976 loss=3.040257 lr=0.097126 Epoch[051] Batch [2149]/[3760] Speed: 96.508607 samples/sec accuracy=33.087936 loss=3.041033 lr=0.097122 Epoch[051] Batch [2199]/[3760] Speed: 95.413535 samples/sec accuracy=33.061080 loss=3.041920 lr=0.097118 Epoch[051] Batch [2249]/[3760] Speed: 95.772644 samples/sec accuracy=33.061111 loss=3.041708 lr=0.097113 Epoch[051] Batch [2299]/[3760] Speed: 95.758769 samples/sec accuracy=33.041440 loss=3.041967 lr=0.097109 Epoch[051] Batch [2349]/[3760] Speed: 96.441583 samples/sec accuracy=33.059840 loss=3.041206 lr=0.097105 Epoch[051] Batch [2399]/[3760] Speed: 94.707416 samples/sec accuracy=33.054036 loss=3.041932 lr=0.097101 Epoch[051] Batch [2449]/[3760] Speed: 96.806230 samples/sec accuracy=33.040816 loss=3.042139 lr=0.097096 Epoch[051] Batch [2499]/[3760] Speed: 96.903422 samples/sec accuracy=33.056250 loss=3.041587 lr=0.097092 Epoch[051] Batch [2549]/[3760] Speed: 95.865862 samples/sec accuracy=33.022672 loss=3.043339 lr=0.097088 Epoch[051] Batch [2599]/[3760] Speed: 96.083830 samples/sec accuracy=33.013221 loss=3.043997 lr=0.097083 Epoch[051] Batch [2649]/[3760] Speed: 94.825170 samples/sec accuracy=33.016509 loss=3.043516 lr=0.097079 Epoch[051] Batch [2699]/[3760] Speed: 96.935430 samples/sec accuracy=33.022569 loss=3.043054 lr=0.097074 Epoch[051] Batch [2749]/[3760] Speed: 95.370945 samples/sec accuracy=33.020455 loss=3.042558 lr=0.097070 Epoch[051] Batch [2799]/[3760] Speed: 96.423149 samples/sec accuracy=32.996652 loss=3.043460 lr=0.097066 Epoch[051] Batch [2849]/[3760] Speed: 95.713979 samples/sec accuracy=33.020833 loss=3.042724 lr=0.097061 Epoch[051] Batch [2899]/[3760] Speed: 96.643055 samples/sec accuracy=33.029634 loss=3.042659 lr=0.097057 Epoch[051] Batch [2949]/[3760] Speed: 95.115440 samples/sec accuracy=33.029131 loss=3.041908 lr=0.097053 Epoch[051] Batch [2999]/[3760] Speed: 97.022846 samples/sec accuracy=33.006250 loss=3.042395 lr=0.097048 Epoch[051] Batch [3049]/[3760] Speed: 96.132709 samples/sec accuracy=33.009221 loss=3.042275 lr=0.097044 Epoch[051] Batch [3099]/[3760] Speed: 95.675652 samples/sec accuracy=33.023185 loss=3.042005 lr=0.097040 Epoch[051] Batch [3149]/[3760] Speed: 96.626552 samples/sec accuracy=32.990079 loss=3.043496 lr=0.097035 Epoch[051] Batch [3199]/[3760] Speed: 95.926038 samples/sec accuracy=32.988281 loss=3.044005 lr=0.097031 Epoch[051] Batch [3249]/[3760] Speed: 95.889286 samples/sec accuracy=32.990865 loss=3.043849 lr=0.097026 Epoch[051] Batch [3299]/[3760] Speed: 95.571007 samples/sec accuracy=32.987216 loss=3.043906 lr=0.097022 Epoch[051] Batch [3349]/[3760] Speed: 95.809799 samples/sec accuracy=32.958022 loss=3.045429 lr=0.097018 Epoch[051] Batch [3399]/[3760] Speed: 94.802120 samples/sec accuracy=32.954504 loss=3.046210 lr=0.097013 Epoch[051] Batch [3449]/[3760] Speed: 96.546386 samples/sec accuracy=32.928442 loss=3.046423 lr=0.097009 Epoch[051] Batch [3499]/[3760] Speed: 95.087994 samples/sec accuracy=32.918304 loss=3.046886 lr=0.097005 Epoch[051] Batch [3549]/[3760] Speed: 96.935865 samples/sec accuracy=32.912852 loss=3.047288 lr=0.097000 Epoch[051] Batch [3599]/[3760] Speed: 96.778288 samples/sec accuracy=32.894531 loss=3.047799 lr=0.096996 Epoch[051] Batch [3649]/[3760] Speed: 95.653294 samples/sec accuracy=32.914384 loss=3.047424 lr=0.096991 Epoch[051] Batch [3699]/[3760] Speed: 96.005740 samples/sec accuracy=32.892314 loss=3.048376 lr=0.096987 Epoch[051] Batch [3749]/[3760] Speed: 109.173086 samples/sec accuracy=32.882500 loss=3.048895 lr=0.096983 Batch [0049]/[0303]: acc-top1=34.062500 acc-top5=61.062500 Batch [0099]/[0303]: acc-top1=31.468750 acc-top5=58.640625 Batch [0149]/[0303]: acc-top1=32.458333 acc-top5=60.031250 Batch [0199]/[0303]: acc-top1=34.820312 acc-top5=62.046875 Batch [0249]/[0303]: acc-top1=34.175000 acc-top5=61.743750 Batch [0299]/[0303]: acc-top1=34.229167 acc-top5=61.921875 [Epoch 051] training: accuracy=32.888132 loss=3.048647 [Epoch 051] speed: 95 samples/sec time cost: 2713.917374 [Epoch 051] validation: acc-top1=34.251238 acc-top5=61.927599 loss=3.060296 Epoch[052] Batch 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accuracy=33.165625 loss=3.028192 lr=0.096937 Epoch[052] Batch [0549]/[3759] Speed: 95.213213 samples/sec accuracy=33.107955 loss=3.031074 lr=0.096933 Epoch[052] Batch [0599]/[3759] Speed: 95.846891 samples/sec accuracy=33.098958 loss=3.032386 lr=0.096928 Epoch[052] Batch [0649]/[3759] Speed: 96.004266 samples/sec accuracy=33.026442 loss=3.034437 lr=0.096924 Epoch[052] Batch [0699]/[3759] Speed: 95.221471 samples/sec accuracy=32.895089 loss=3.039784 lr=0.096920 Epoch[052] Batch [0749]/[3759] Speed: 95.776862 samples/sec accuracy=32.906250 loss=3.042629 lr=0.096915 Epoch[052] Batch [0799]/[3759] Speed: 96.215610 samples/sec accuracy=32.964844 loss=3.041234 lr=0.096911 Epoch[052] Batch [0849]/[3759] Speed: 94.320286 samples/sec accuracy=32.987132 loss=3.041620 lr=0.096906 Epoch[052] Batch [0899]/[3759] Speed: 96.825248 samples/sec accuracy=32.953125 loss=3.043292 lr=0.096902 Epoch[052] Batch [0949]/[3759] Speed: 96.406920 samples/sec accuracy=32.993421 loss=3.041330 lr=0.096897 Epoch[052] 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accuracy=33.042026 loss=3.037800 lr=0.096852 Epoch[052] Batch [1499]/[3759] Speed: 95.668506 samples/sec accuracy=33.043750 loss=3.036806 lr=0.096848 Epoch[052] Batch [1549]/[3759] Speed: 95.621131 samples/sec accuracy=33.061492 loss=3.037002 lr=0.096843 Epoch[052] Batch [1599]/[3759] Speed: 96.003473 samples/sec accuracy=33.041992 loss=3.037582 lr=0.096839 Epoch[052] Batch [1649]/[3759] Speed: 95.225343 samples/sec accuracy=32.997159 loss=3.040058 lr=0.096834 Epoch[052] Batch [1699]/[3759] Speed: 96.316020 samples/sec accuracy=32.975184 loss=3.040702 lr=0.096830 Epoch[052] Batch [1749]/[3759] Speed: 94.223640 samples/sec accuracy=32.941964 loss=3.041072 lr=0.096825 Epoch[052] Batch [1799]/[3759] Speed: 97.530973 samples/sec accuracy=32.938368 loss=3.040274 lr=0.096821 Epoch[052] Batch [1849]/[3759] Speed: 95.923793 samples/sec accuracy=32.969595 loss=3.039921 lr=0.096816 Epoch[052] Batch [1899]/[3759] Speed: 95.156161 samples/sec accuracy=32.944079 loss=3.041236 lr=0.096812 Epoch[052] 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accuracy=32.991536 loss=3.040475 lr=0.096766 Epoch[052] Batch [2449]/[3759] Speed: 95.839165 samples/sec accuracy=33.007015 loss=3.040060 lr=0.096762 Epoch[052] Batch [2499]/[3759] Speed: 96.997105 samples/sec accuracy=33.019375 loss=3.040479 lr=0.096757 Epoch[052] Batch [2549]/[3759] Speed: 95.737663 samples/sec accuracy=33.010417 loss=3.041103 lr=0.096752 Epoch[052] Batch [2599]/[3759] Speed: 95.364017 samples/sec accuracy=33.020433 loss=3.041359 lr=0.096748 Epoch[052] Batch [2649]/[3759] Speed: 95.837745 samples/sec accuracy=33.032429 loss=3.041672 lr=0.096743 Epoch[052] Batch [2699]/[3759] Speed: 96.371618 samples/sec accuracy=33.029514 loss=3.041420 lr=0.096739 Epoch[052] Batch [2749]/[3759] Speed: 96.159687 samples/sec accuracy=33.052841 loss=3.040840 lr=0.096734 Epoch[052] Batch [2799]/[3759] Speed: 94.869332 samples/sec accuracy=33.059152 loss=3.040876 lr=0.096730 Epoch[052] Batch [2849]/[3759] Speed: 96.605623 samples/sec accuracy=33.060855 loss=3.040703 lr=0.096725 Epoch[052] Batch [2899]/[3759] Speed: 95.009794 samples/sec accuracy=33.044181 loss=3.041336 lr=0.096720 Epoch[052] Batch [2949]/[3759] Speed: 96.309791 samples/sec accuracy=33.028072 loss=3.042169 lr=0.096716 Epoch[052] Batch [2999]/[3759] Speed: 95.377242 samples/sec accuracy=33.020312 loss=3.041996 lr=0.096711 Epoch[052] Batch [3049]/[3759] Speed: 96.115870 samples/sec accuracy=33.018955 loss=3.041914 lr=0.096707 Epoch[052] Batch [3099]/[3759] Speed: 95.095184 samples/sec accuracy=33.041835 loss=3.040828 lr=0.096702 Epoch[052] Batch [3149]/[3759] Speed: 96.766587 samples/sec accuracy=33.041171 loss=3.041336 lr=0.096697 Epoch[052] Batch [3199]/[3759] Speed: 96.269343 samples/sec accuracy=33.057617 loss=3.041066 lr=0.096693 Epoch[052] Batch [3249]/[3759] Speed: 95.170938 samples/sec accuracy=33.060577 loss=3.041881 lr=0.096688 Epoch[052] Batch [3299]/[3759] Speed: 96.789658 samples/sec accuracy=33.062500 loss=3.040904 lr=0.096684 Epoch[052] Batch [3349]/[3759] Speed: 94.869775 samples/sec accuracy=33.026586 loss=3.042063 lr=0.096679 Epoch[052] Batch [3399]/[3759] Speed: 95.323307 samples/sec accuracy=33.043658 loss=3.041887 lr=0.096674 Epoch[052] Batch [3449]/[3759] Speed: 96.477292 samples/sec accuracy=33.018116 loss=3.042346 lr=0.096670 Epoch[052] Batch [3499]/[3759] Speed: 95.767315 samples/sec accuracy=33.014286 loss=3.042907 lr=0.096665 Epoch[052] Batch [3549]/[3759] Speed: 95.589592 samples/sec accuracy=33.013204 loss=3.042572 lr=0.096660 Epoch[052] Batch [3599]/[3759] Speed: 96.411447 samples/sec accuracy=33.007378 loss=3.042948 lr=0.096656 Epoch[052] Batch [3649]/[3759] Speed: 94.727226 samples/sec accuracy=33.022688 loss=3.042686 lr=0.096651 Epoch[052] Batch [3699]/[3759] Speed: 97.252239 samples/sec accuracy=33.008868 loss=3.043760 lr=0.096646 Epoch[052] Batch [3749]/[3759] Speed: 109.080807 samples/sec accuracy=33.010417 loss=3.043581 lr=0.096642 Batch [0049]/[0303]: acc-top1=31.375000 acc-top5=56.843750 Batch [0099]/[0303]: acc-top1=30.093750 acc-top5=56.203125 Batch [0149]/[0303]: acc-top1=31.187500 acc-top5=57.302083 Batch [0199]/[0303]: acc-top1=33.429688 acc-top5=59.125000 Batch [0249]/[0303]: acc-top1=32.612500 acc-top5=59.018750 Batch [0299]/[0303]: acc-top1=32.302083 acc-top5=59.119792 [Epoch 052] training: accuracy=33.005370 loss=3.043896 [Epoch 052] speed: 95 samples/sec time cost: 2717.597999 [Epoch 052] validation: acc-top1=32.369018 acc-top5=59.173886 loss=3.261407 Epoch[053] Batch [0049]/[3760] Speed: 66.043511 samples/sec accuracy=32.406250 loss=2.996990 lr=0.096636 Epoch[053] Batch [0099]/[3760] Speed: 92.172479 samples/sec accuracy=32.828125 loss=3.002365 lr=0.096632 Epoch[053] Batch [0149]/[3760] Speed: 96.842835 samples/sec accuracy=32.968750 loss=3.000656 lr=0.096627 Epoch[053] Batch [0199]/[3760] Speed: 94.639634 samples/sec accuracy=33.320312 loss=2.990875 lr=0.096622 Epoch[053] Batch [0249]/[3760] Speed: 96.196603 samples/sec accuracy=33.156250 loss=3.002857 lr=0.096618 Epoch[053] Batch [0299]/[3760] 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loss=3.020523 lr=0.096571 Epoch[053] Batch [0799]/[3760] Speed: 95.285574 samples/sec accuracy=33.175781 loss=3.022272 lr=0.096566 Epoch[053] Batch [0849]/[3760] Speed: 95.537506 samples/sec accuracy=33.115809 loss=3.023451 lr=0.096562 Epoch[053] Batch [0899]/[3760] Speed: 95.651504 samples/sec accuracy=33.194444 loss=3.023791 lr=0.096557 Epoch[053] Batch [0949]/[3760] Speed: 96.176608 samples/sec accuracy=33.250000 loss=3.022195 lr=0.096552 Epoch[053] Batch [0999]/[3760] Speed: 96.190408 samples/sec accuracy=33.256250 loss=3.024253 lr=0.096547 Epoch[053] Batch [1049]/[3760] Speed: 95.115594 samples/sec accuracy=33.267857 loss=3.024658 lr=0.096543 Epoch[053] Batch [1099]/[3760] Speed: 95.864258 samples/sec accuracy=33.210227 loss=3.026177 lr=0.096538 Epoch[053] Batch [1149]/[3760] Speed: 94.546279 samples/sec accuracy=33.226902 loss=3.025263 lr=0.096533 Epoch[053] Batch [1199]/[3760] Speed: 96.902899 samples/sec accuracy=33.265625 loss=3.024513 lr=0.096529 Epoch[053] Batch 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accuracy=33.368566 loss=3.023851 lr=0.096481 Epoch[053] Batch [1749]/[3760] Speed: 95.935546 samples/sec accuracy=33.370536 loss=3.023820 lr=0.096476 Epoch[053] Batch [1799]/[3760] Speed: 95.785095 samples/sec accuracy=33.394097 loss=3.023235 lr=0.096472 Epoch[053] Batch [1849]/[3760] Speed: 95.364789 samples/sec accuracy=33.390203 loss=3.022520 lr=0.096467 Epoch[053] Batch [1899]/[3760] Speed: 96.870997 samples/sec accuracy=33.417763 loss=3.021836 lr=0.096462 Epoch[053] Batch [1949]/[3760] Speed: 95.016182 samples/sec accuracy=33.407853 loss=3.022493 lr=0.096457 Epoch[053] Batch [1999]/[3760] Speed: 96.150341 samples/sec accuracy=33.389063 loss=3.023489 lr=0.096453 Epoch[053] Batch [2049]/[3760] Speed: 95.106748 samples/sec accuracy=33.368902 loss=3.024697 lr=0.096448 Epoch[053] Batch [2099]/[3760] Speed: 96.051732 samples/sec accuracy=33.360863 loss=3.024434 lr=0.096443 Epoch[053] Batch [2149]/[3760] Speed: 94.649609 samples/sec accuracy=33.338663 loss=3.025796 lr=0.096438 Epoch[053] 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accuracy=33.241745 loss=3.029206 lr=0.096390 Epoch[053] Batch [2699]/[3760] Speed: 94.104128 samples/sec accuracy=33.241898 loss=3.029591 lr=0.096386 Epoch[053] Batch [2749]/[3760] Speed: 96.944710 samples/sec accuracy=33.213068 loss=3.030218 lr=0.096381 Epoch[053] Batch [2799]/[3760] Speed: 94.674221 samples/sec accuracy=33.198103 loss=3.030993 lr=0.096376 Epoch[053] Batch [2849]/[3760] Speed: 95.795216 samples/sec accuracy=33.209978 loss=3.030627 lr=0.096371 Epoch[053] Batch [2899]/[3760] Speed: 94.351080 samples/sec accuracy=33.205280 loss=3.030503 lr=0.096366 Epoch[053] Batch [2949]/[3760] Speed: 96.000928 samples/sec accuracy=33.174258 loss=3.032241 lr=0.096361 Epoch[053] Batch [2999]/[3760] Speed: 95.454684 samples/sec accuracy=33.168229 loss=3.032924 lr=0.096357 Epoch[053] Batch [3049]/[3760] Speed: 95.856157 samples/sec accuracy=33.147029 loss=3.033375 lr=0.096352 Epoch[053] Batch [3099]/[3760] Speed: 95.617509 samples/sec accuracy=33.149698 loss=3.033049 lr=0.096347 Epoch[053] 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accuracy=33.118924 loss=3.033216 lr=0.096298 Epoch[053] Batch [3649]/[3760] Speed: 95.237447 samples/sec accuracy=33.116010 loss=3.033644 lr=0.096293 Epoch[053] Batch [3699]/[3760] Speed: 94.856185 samples/sec accuracy=33.107686 loss=3.033679 lr=0.096289 Epoch[053] Batch [3749]/[3760] Speed: 107.735988 samples/sec accuracy=33.104167 loss=3.034239 lr=0.096284 Batch [0049]/[0303]: acc-top1=32.562500 acc-top5=59.656250 Batch [0099]/[0303]: acc-top1=30.531250 acc-top5=56.671875 Batch [0149]/[0303]: acc-top1=31.572917 acc-top5=57.958333 Batch [0199]/[0303]: acc-top1=34.984375 acc-top5=61.148438 Batch [0249]/[0303]: acc-top1=34.237500 acc-top5=61.143750 Batch [0299]/[0303]: acc-top1=33.541667 acc-top5=60.765625 [Epoch 053] training: accuracy=33.100066 loss=3.034518 [Epoch 053] speed: 95 samples/sec time cost: 2724.709515 [Epoch 053] validation: acc-top1=33.601485 acc-top5=60.834365 loss=3.205536 Epoch[054] Batch [0049]/[3760] Speed: 66.151972 samples/sec accuracy=33.468750 loss=2.994582 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lr=0.095995 Epoch[054] Batch [2949]/[3760] Speed: 96.093155 samples/sec accuracy=33.216102 loss=3.026535 lr=0.095990 Epoch[054] Batch [2999]/[3760] Speed: 95.028707 samples/sec accuracy=33.206771 loss=3.026324 lr=0.095984 Epoch[054] Batch [3049]/[3760] Speed: 94.620154 samples/sec accuracy=33.211578 loss=3.026087 lr=0.095979 Epoch[054] Batch [3099]/[3760] Speed: 96.555459 samples/sec accuracy=33.195060 loss=3.026524 lr=0.095974 Epoch[054] Batch [3149]/[3760] Speed: 94.442815 samples/sec accuracy=33.194444 loss=3.027239 lr=0.095969 Epoch[054] Batch [3199]/[3760] Speed: 96.444256 samples/sec accuracy=33.185547 loss=3.027342 lr=0.095964 Epoch[054] Batch [3249]/[3760] Speed: 94.542019 samples/sec accuracy=33.176923 loss=3.027944 lr=0.095959 Epoch[054] Batch [3299]/[3760] Speed: 96.646352 samples/sec accuracy=33.168561 loss=3.027922 lr=0.095954 Epoch[054] Batch [3349]/[3760] Speed: 94.243113 samples/sec accuracy=33.159981 loss=3.028338 lr=0.095949 Epoch[054] Batch [3399]/[3760] Speed: 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acc-top1=33.031250 acc-top5=58.734375 Batch [0249]/[0303]: acc-top1=32.837500 acc-top5=58.706250 Batch [0299]/[0303]: acc-top1=32.515625 acc-top5=58.531250 [Epoch 054] training: accuracy=33.095080 loss=3.031618 [Epoch 054] speed: 95 samples/sec time cost: 2728.583224 [Epoch 054] validation: acc-top1=32.518564 acc-top5=58.529290 loss=3.326389 Epoch[055] Batch [0049]/[3759] Speed: 66.278100 samples/sec accuracy=32.593750 loss=3.088454 lr=0.095902 Epoch[055] Batch [0099]/[3759] Speed: 93.758033 samples/sec accuracy=32.875000 loss=3.035299 lr=0.095897 Epoch[055] Batch [0149]/[3759] Speed: 96.678235 samples/sec accuracy=32.833333 loss=3.039476 lr=0.095892 Epoch[055] Batch [0199]/[3759] Speed: 95.021447 samples/sec accuracy=32.734375 loss=3.038545 lr=0.095887 Epoch[055] Batch [0249]/[3759] Speed: 96.430167 samples/sec accuracy=32.862500 loss=3.028687 lr=0.095882 Epoch[055] Batch [0299]/[3759] Speed: 95.139542 samples/sec accuracy=33.536458 loss=3.006923 lr=0.095876 Epoch[055] Batch 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accuracy=33.096747 loss=3.032684 lr=0.095526 Epoch[055] Batch [3699]/[3759] Speed: 95.387173 samples/sec accuracy=33.102196 loss=3.032077 lr=0.095521 Epoch[055] Batch [3749]/[3759] Speed: 110.421077 samples/sec accuracy=33.107083 loss=3.031705 lr=0.095515 Batch [0049]/[0303]: acc-top1=33.812500 acc-top5=59.812500 Batch [0099]/[0303]: acc-top1=31.328125 acc-top5=57.484375 Batch [0149]/[0303]: acc-top1=33.593750 acc-top5=59.677083 Batch [0199]/[0303]: acc-top1=35.562500 acc-top5=61.406250 Batch [0249]/[0303]: acc-top1=34.612500 acc-top5=61.281250 Batch [0299]/[0303]: acc-top1=33.875000 acc-top5=61.234375 [Epoch 055] training: accuracy=33.107625 loss=3.031530 [Epoch 055] speed: 95 samples/sec time cost: 2719.081885 [Epoch 055] validation: acc-top1=33.854167 acc-top5=61.283003 loss=3.164459 Epoch[056] Batch [0049]/[3760] Speed: 67.359680 samples/sec accuracy=33.781250 loss=3.005427 lr=0.095509 Epoch[056] Batch [0099]/[3760] Speed: 94.047167 samples/sec accuracy=33.125000 loss=3.031115 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lr=0.095194 Epoch[056] Batch [2999]/[3760] Speed: 95.312165 samples/sec accuracy=33.243750 loss=3.024835 lr=0.095188 Epoch[056] Batch [3049]/[3760] Speed: 96.633648 samples/sec accuracy=33.240266 loss=3.025617 lr=0.095183 Epoch[056] Batch [3099]/[3760] Speed: 95.138447 samples/sec accuracy=33.225806 loss=3.026260 lr=0.095177 Epoch[056] Batch [3149]/[3760] Speed: 96.929985 samples/sec accuracy=33.236111 loss=3.025862 lr=0.095172 Epoch[056] Batch [3199]/[3760] Speed: 95.978872 samples/sec accuracy=33.244629 loss=3.025394 lr=0.095166 Epoch[056] Batch [3249]/[3760] Speed: 96.517616 samples/sec accuracy=33.249038 loss=3.025313 lr=0.095161 Epoch[056] Batch [3299]/[3760] Speed: 95.178264 samples/sec accuracy=33.241951 loss=3.025299 lr=0.095155 Epoch[056] Batch [3349]/[3760] Speed: 95.858104 samples/sec accuracy=33.261660 loss=3.024464 lr=0.095150 Epoch[056] Batch [3399]/[3760] Speed: 95.799794 samples/sec accuracy=33.256434 loss=3.025299 lr=0.095144 Epoch[056] Batch [3449]/[3760] Speed: 96.154423 samples/sec accuracy=33.254982 loss=3.025326 lr=0.095139 Epoch[056] Batch [3499]/[3760] Speed: 96.173811 samples/sec accuracy=33.248661 loss=3.025763 lr=0.095133 Epoch[056] Batch [3549]/[3760] Speed: 96.098775 samples/sec accuracy=33.246039 loss=3.026248 lr=0.095128 Epoch[056] Batch [3599]/[3760] Speed: 95.517258 samples/sec accuracy=33.243490 loss=3.026570 lr=0.095122 Epoch[056] Batch [3649]/[3760] Speed: 97.050628 samples/sec accuracy=33.247860 loss=3.026827 lr=0.095116 Epoch[056] Batch [3699]/[3760] Speed: 94.543497 samples/sec accuracy=33.245355 loss=3.027038 lr=0.095111 Epoch[056] Batch [3749]/[3760] Speed: 108.914793 samples/sec accuracy=33.232083 loss=3.027465 lr=0.095105 Batch [0049]/[0303]: acc-top1=35.125000 acc-top5=61.125000 Batch [0099]/[0303]: acc-top1=31.015625 acc-top5=58.828125 Batch [0149]/[0303]: acc-top1=33.114583 acc-top5=59.968750 Batch [0199]/[0303]: acc-top1=35.148438 acc-top5=61.609375 Batch [0249]/[0303]: acc-top1=34.368750 acc-top5=61.275000 Batch [0299]/[0303]: acc-top1=33.703125 acc-top5=61.250000 [Epoch 056] training: accuracy=33.229305 loss=3.027565 [Epoch 056] speed: 95 samples/sec time cost: 2714.559789 [Epoch 056] validation: acc-top1=33.658210 acc-top5=61.246906 loss=3.105573 Epoch[057] Batch [0049]/[3760] Speed: 65.862200 samples/sec accuracy=34.031250 loss=2.984018 lr=0.095099 Epoch[057] Batch [0099]/[3760] Speed: 92.946192 samples/sec accuracy=34.312500 loss=2.978174 lr=0.095093 Epoch[057] Batch [0149]/[3760] Speed: 96.237214 samples/sec accuracy=34.062500 loss=2.972096 lr=0.095088 Epoch[057] Batch [0199]/[3760] Speed: 95.456519 samples/sec accuracy=34.570312 loss=2.955613 lr=0.095082 Epoch[057] Batch [0249]/[3760] Speed: 95.072065 samples/sec accuracy=34.393750 loss=2.959959 lr=0.095076 Epoch[057] Batch [0299]/[3760] Speed: 95.950597 samples/sec accuracy=34.505208 loss=2.954470 lr=0.095071 Epoch[057] Batch [0349]/[3760] Speed: 95.966476 samples/sec accuracy=34.339286 loss=2.958794 lr=0.095065 Epoch[057] Batch 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accuracy=33.517314 loss=3.015762 lr=0.094684 Epoch[057] Batch [3749]/[3760] Speed: 106.927673 samples/sec accuracy=33.501667 loss=3.016585 lr=0.094678 Batch [0049]/[0303]: acc-top1=30.750000 acc-top5=55.093750 Batch [0099]/[0303]: acc-top1=29.671875 acc-top5=53.953125 Batch [0149]/[0303]: acc-top1=31.229167 acc-top5=55.656250 Batch [0199]/[0303]: acc-top1=33.476562 acc-top5=58.234375 Batch [0249]/[0303]: acc-top1=33.012500 acc-top5=58.487500 Batch [0299]/[0303]: acc-top1=32.083333 acc-top5=58.666667 [Epoch 057] training: accuracy=33.506483 loss=3.016379 [Epoch 057] speed: 95 samples/sec time cost: 2724.952609 [Epoch 057] validation: acc-top1=32.173061 acc-top5=58.797442 loss=3.305450 Epoch[058] Batch [0049]/[3759] Speed: 65.449260 samples/sec accuracy=33.218750 loss=3.025169 lr=0.094671 Epoch[058] Batch [0099]/[3759] Speed: 93.439454 samples/sec accuracy=33.250000 loss=3.017027 lr=0.094666 Epoch[058] Batch [0149]/[3759] Speed: 96.241756 samples/sec accuracy=33.677083 loss=2.999140 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lr=0.094437 Epoch[058] Batch [2099]/[3759] Speed: 96.973709 samples/sec accuracy=33.522321 loss=3.014881 lr=0.094431 Epoch[058] Batch [2149]/[3759] Speed: 95.430671 samples/sec accuracy=33.553052 loss=3.013479 lr=0.094425 Epoch[058] Batch [2199]/[3759] Speed: 97.077131 samples/sec accuracy=33.554688 loss=3.013613 lr=0.094420 Epoch[058] Batch [2249]/[3759] Speed: 96.047173 samples/sec accuracy=33.527778 loss=3.014919 lr=0.094414 Epoch[058] Batch [2299]/[3759] Speed: 94.577935 samples/sec accuracy=33.533288 loss=3.014379 lr=0.094408 Epoch[058] Batch [2349]/[3759] Speed: 96.334498 samples/sec accuracy=33.509309 loss=3.015548 lr=0.094402 Epoch[058] Batch [2399]/[3759] Speed: 95.662796 samples/sec accuracy=33.500651 loss=3.015716 lr=0.094396 Epoch[058] Batch [2449]/[3759] Speed: 95.737940 samples/sec accuracy=33.485332 loss=3.017558 lr=0.094390 Epoch[058] Batch [2499]/[3759] Speed: 95.829621 samples/sec accuracy=33.495625 loss=3.016788 lr=0.094384 Epoch[058] Batch [2549]/[3759] Speed: 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lr=0.094324 Epoch[058] Batch [3049]/[3759] Speed: 96.082710 samples/sec accuracy=33.373975 loss=3.023348 lr=0.094318 Epoch[058] Batch [3099]/[3759] Speed: 94.589985 samples/sec accuracy=33.361391 loss=3.024122 lr=0.094312 Epoch[058] Batch [3149]/[3759] Speed: 96.743175 samples/sec accuracy=33.368056 loss=3.024027 lr=0.094307 Epoch[058] Batch [3199]/[3759] Speed: 94.951886 samples/sec accuracy=33.382812 loss=3.023565 lr=0.094301 Epoch[058] Batch [3249]/[3759] Speed: 97.126168 samples/sec accuracy=33.380288 loss=3.024449 lr=0.094295 Epoch[058] Batch [3299]/[3759] Speed: 93.743130 samples/sec accuracy=33.399148 loss=3.023864 lr=0.094289 Epoch[058] Batch [3349]/[3759] Speed: 96.076655 samples/sec accuracy=33.388993 loss=3.024212 lr=0.094283 Epoch[058] Batch [3399]/[3759] Speed: 96.259394 samples/sec accuracy=33.393842 loss=3.024128 lr=0.094277 Epoch[058] Batch [3449]/[3759] Speed: 95.718358 samples/sec accuracy=33.379076 loss=3.024423 lr=0.094271 Epoch[058] Batch [3499]/[3759] Speed: 96.957295 samples/sec accuracy=33.370089 loss=3.024431 lr=0.094265 Epoch[058] Batch [3549]/[3759] Speed: 94.969295 samples/sec accuracy=33.377201 loss=3.024797 lr=0.094259 Epoch[058] Batch [3599]/[3759] Speed: 96.033770 samples/sec accuracy=33.365885 loss=3.024864 lr=0.094253 Epoch[058] Batch [3649]/[3759] Speed: 94.673571 samples/sec accuracy=33.374572 loss=3.024964 lr=0.094247 Epoch[058] Batch [3699]/[3759] Speed: 95.789522 samples/sec accuracy=33.389358 loss=3.024182 lr=0.094241 Epoch[058] Batch [3749]/[3759] Speed: 108.544846 samples/sec accuracy=33.389583 loss=3.024502 lr=0.094235 Batch [0049]/[0303]: acc-top1=32.906250 acc-top5=60.718750 Batch [0099]/[0303]: acc-top1=29.578125 acc-top5=56.875000 Batch [0149]/[0303]: acc-top1=30.510417 acc-top5=57.052083 Batch [0199]/[0303]: acc-top1=32.796875 acc-top5=58.968750 Batch [0249]/[0303]: acc-top1=32.481250 acc-top5=59.287500 Batch [0299]/[0303]: acc-top1=32.166667 acc-top5=58.927083 [Epoch 058] training: accuracy=33.391943 loss=3.024467 [Epoch 058] speed: 95 samples/sec time cost: 2721.414851 [Epoch 058] validation: acc-top1=32.219472 acc-top5=58.962459 loss=3.255488 Epoch[059] Batch [0049]/[3760] Speed: 67.404600 samples/sec accuracy=33.968750 loss=2.964437 lr=0.094227 Epoch[059] Batch [0099]/[3760] Speed: 92.971503 samples/sec accuracy=34.281250 loss=2.946239 lr=0.094221 Epoch[059] Batch [0149]/[3760] Speed: 95.644998 samples/sec accuracy=34.447917 loss=2.945797 lr=0.094215 Epoch[059] Batch [0199]/[3760] Speed: 94.291646 samples/sec accuracy=34.218750 loss=2.959051 lr=0.094209 Epoch[059] Batch [0249]/[3760] Speed: 95.816513 samples/sec accuracy=34.150000 loss=2.968592 lr=0.094203 Epoch[059] Batch [0299]/[3760] Speed: 95.165089 samples/sec accuracy=34.031250 loss=2.979680 lr=0.094197 Epoch[059] Batch [0349]/[3760] Speed: 95.620067 samples/sec accuracy=33.776786 loss=2.987672 lr=0.094191 Epoch[059] Batch [0399]/[3760] Speed: 95.931185 samples/sec accuracy=33.632812 loss=2.990955 lr=0.094185 Epoch[059] 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accuracy=33.567708 loss=2.996640 lr=0.094125 Epoch[059] Batch [0949]/[3760] Speed: 95.284935 samples/sec accuracy=33.554276 loss=3.000087 lr=0.094119 Epoch[059] Batch [0999]/[3760] Speed: 96.861132 samples/sec accuracy=33.589062 loss=2.999847 lr=0.094113 Epoch[059] Batch [1049]/[3760] Speed: 95.191919 samples/sec accuracy=33.559524 loss=3.001935 lr=0.094107 Epoch[059] Batch [1099]/[3760] Speed: 96.381880 samples/sec accuracy=33.568182 loss=3.002724 lr=0.094101 Epoch[059] Batch [1149]/[3760] Speed: 95.247620 samples/sec accuracy=33.584239 loss=3.002012 lr=0.094094 Epoch[059] Batch [1199]/[3760] Speed: 95.597714 samples/sec accuracy=33.638021 loss=3.000851 lr=0.094088 Epoch[059] Batch [1249]/[3760] Speed: 96.193095 samples/sec accuracy=33.607500 loss=3.002788 lr=0.094082 Epoch[059] Batch [1299]/[3760] Speed: 96.162204 samples/sec accuracy=33.628606 loss=3.001721 lr=0.094076 Epoch[059] Batch [1349]/[3760] Speed: 94.651446 samples/sec accuracy=33.612269 loss=3.001434 lr=0.094070 Epoch[059] 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accuracy=33.508750 loss=3.013241 lr=0.093774 Batch [0049]/[0303]: acc-top1=36.093750 acc-top5=62.156250 Batch [0099]/[0303]: acc-top1=33.078125 acc-top5=59.640625 Batch [0149]/[0303]: acc-top1=33.291667 acc-top5=60.125000 Batch [0199]/[0303]: acc-top1=35.789062 acc-top5=61.546875 Batch [0249]/[0303]: acc-top1=34.450000 acc-top5=60.950000 Batch [0299]/[0303]: acc-top1=33.864583 acc-top5=60.645833 [Epoch 059] training: accuracy=33.507729 loss=3.013187 [Epoch 059] speed: 95 samples/sec time cost: 2722.354380 [Epoch 059] validation: acc-top1=33.797442 acc-top5=60.643564 loss=3.221726 Epoch[060] Batch [0049]/[3760] Speed: 65.905573 samples/sec accuracy=33.000000 loss=3.029173 lr=0.093767 Epoch[060] Batch [0099]/[3760] Speed: 92.888677 samples/sec accuracy=33.937500 loss=3.002383 lr=0.093761 Epoch[060] Batch [0149]/[3760] Speed: 96.509583 samples/sec accuracy=34.135417 loss=3.005940 lr=0.093754 Epoch[060] Batch [0199]/[3760] Speed: 94.271776 samples/sec accuracy=33.804688 loss=3.010464 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lr=0.093509 Epoch[060] Batch [2149]/[3760] Speed: 96.189827 samples/sec accuracy=33.647529 loss=2.999565 lr=0.093502 Epoch[060] Batch [2199]/[3760] Speed: 94.561069 samples/sec accuracy=33.683239 loss=2.998267 lr=0.093496 Epoch[060] Batch [2249]/[3760] Speed: 98.093841 samples/sec accuracy=33.679861 loss=2.998610 lr=0.093490 Epoch[060] Batch [2299]/[3760] Speed: 95.987702 samples/sec accuracy=33.686141 loss=2.998615 lr=0.093483 Epoch[060] Batch [2349]/[3760] Speed: 96.587460 samples/sec accuracy=33.689495 loss=2.999410 lr=0.093477 Epoch[060] Batch [2399]/[3760] Speed: 95.696924 samples/sec accuracy=33.692057 loss=2.999865 lr=0.093470 Epoch[060] Batch [2449]/[3760] Speed: 96.801968 samples/sec accuracy=33.690051 loss=2.999845 lr=0.093464 Epoch[060] Batch [2499]/[3760] Speed: 96.078615 samples/sec accuracy=33.669375 loss=3.001168 lr=0.093458 Epoch[060] Batch [2549]/[3760] Speed: 95.938080 samples/sec accuracy=33.641544 loss=3.002364 lr=0.093451 Epoch[060] Batch [2599]/[3760] Speed: 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lr=0.093387 Epoch[060] Batch [3099]/[3760] Speed: 95.435035 samples/sec accuracy=33.627016 loss=3.004822 lr=0.093381 Epoch[060] Batch [3149]/[3760] Speed: 95.823812 samples/sec accuracy=33.613591 loss=3.005937 lr=0.093375 Epoch[060] Batch [3199]/[3760] Speed: 97.345219 samples/sec accuracy=33.632812 loss=3.005416 lr=0.093368 Epoch[060] Batch [3249]/[3760] Speed: 95.633052 samples/sec accuracy=33.650962 loss=3.005662 lr=0.093362 Epoch[060] Batch [3299]/[3760] Speed: 97.572092 samples/sec accuracy=33.659564 loss=3.006103 lr=0.093355 Epoch[060] Batch [3349]/[3760] Speed: 96.267370 samples/sec accuracy=33.667444 loss=3.005755 lr=0.093349 Epoch[060] Batch [3399]/[3760] Speed: 96.691558 samples/sec accuracy=33.674173 loss=3.005169 lr=0.093342 Epoch[060] Batch [3449]/[3760] Speed: 97.214437 samples/sec accuracy=33.652627 loss=3.006526 lr=0.093336 Epoch[060] Batch [3499]/[3760] Speed: 96.162006 samples/sec accuracy=33.669196 loss=3.005275 lr=0.093330 Epoch[060] Batch [3549]/[3760] Speed: 96.831966 samples/sec accuracy=33.666373 loss=3.005755 lr=0.093323 Epoch[060] Batch [3599]/[3760] Speed: 95.740156 samples/sec accuracy=33.636719 loss=3.006757 lr=0.093317 Epoch[060] Batch [3649]/[3760] Speed: 97.233831 samples/sec accuracy=33.630993 loss=3.006689 lr=0.093310 Epoch[060] Batch [3699]/[3760] Speed: 96.472372 samples/sec accuracy=33.636824 loss=3.006256 lr=0.093304 Epoch[060] Batch [3749]/[3760] Speed: 108.975637 samples/sec accuracy=33.628750 loss=3.006682 lr=0.093297 Batch [0049]/[0303]: acc-top1=36.750000 acc-top5=62.125000 Batch [0099]/[0303]: acc-top1=33.375000 acc-top5=59.593750 Batch [0149]/[0303]: acc-top1=34.479167 acc-top5=60.927083 Batch [0199]/[0303]: acc-top1=37.328125 acc-top5=63.210938 Batch [0249]/[0303]: acc-top1=36.681250 acc-top5=63.006250 Batch [0299]/[0303]: acc-top1=35.984375 acc-top5=63.218750 [Epoch 060] training: accuracy=33.630319 loss=3.006308 [Epoch 060] speed: 95 samples/sec time cost: 2706.960352 [Epoch 060] validation: acc-top1=35.849835 acc-top5=63.185850 loss=2.997655 Epoch[061] Batch [0049]/[3759] Speed: 66.978291 samples/sec accuracy=34.781250 loss=2.951688 lr=0.093290 Epoch[061] Batch [0099]/[3759] Speed: 93.512931 samples/sec accuracy=33.500000 loss=2.991838 lr=0.093283 Epoch[061] Batch [0149]/[3759] Speed: 98.940202 samples/sec accuracy=33.614583 loss=2.985596 lr=0.093277 Epoch[061] Batch [0199]/[3759] Speed: 96.113720 samples/sec accuracy=33.648438 loss=2.990925 lr=0.093270 Epoch[061] Batch [0249]/[3759] Speed: 97.747166 samples/sec accuracy=33.700000 loss=2.992370 lr=0.093264 Epoch[061] Batch [0299]/[3759] Speed: 96.768450 samples/sec accuracy=33.880208 loss=2.988053 lr=0.093257 Epoch[061] Batch [0349]/[3759] Speed: 96.483438 samples/sec accuracy=33.821429 loss=2.990038 lr=0.093251 Epoch[061] Batch [0399]/[3759] Speed: 98.870966 samples/sec accuracy=33.847656 loss=2.987090 lr=0.093244 Epoch[061] Batch [0449]/[3759] Speed: 95.020070 samples/sec accuracy=33.899306 loss=2.986846 lr=0.093238 Epoch[061] Batch 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accuracy=33.709704 loss=2.998058 lr=0.093049 Epoch[061] Batch [1949]/[3759] Speed: 95.747805 samples/sec accuracy=33.741186 loss=2.997669 lr=0.093042 Epoch[061] Batch [1999]/[3759] Speed: 96.472575 samples/sec accuracy=33.703125 loss=2.998694 lr=0.093036 Epoch[061] Batch [2049]/[3759] Speed: 95.720315 samples/sec accuracy=33.687500 loss=2.998881 lr=0.093029 Epoch[061] Batch [2099]/[3759] Speed: 96.399433 samples/sec accuracy=33.694940 loss=2.998774 lr=0.093023 Epoch[061] Batch [2149]/[3759] Speed: 97.223241 samples/sec accuracy=33.671512 loss=2.999907 lr=0.093016 Epoch[061] Batch [2199]/[3759] Speed: 96.262183 samples/sec accuracy=33.686790 loss=2.999800 lr=0.093009 Epoch[061] Batch [2249]/[3759] Speed: 96.471618 samples/sec accuracy=33.652778 loss=3.001402 lr=0.093003 Epoch[061] Batch [2299]/[3759] Speed: 96.706520 samples/sec accuracy=33.627717 loss=3.002237 lr=0.092996 Epoch[061] Batch [2349]/[3759] Speed: 96.912086 samples/sec accuracy=33.613697 loss=3.002340 lr=0.092990 Epoch[061] 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accuracy=33.594846 loss=3.003940 lr=0.092924 Epoch[061] Batch [2899]/[3759] Speed: 95.696989 samples/sec accuracy=33.571659 loss=3.004102 lr=0.092917 Epoch[061] Batch [2949]/[3759] Speed: 96.110051 samples/sec accuracy=33.578919 loss=3.004506 lr=0.092910 Epoch[061] Batch [2999]/[3759] Speed: 95.850764 samples/sec accuracy=33.606250 loss=3.003927 lr=0.092904 Epoch[061] Batch [3049]/[3759] Speed: 97.088671 samples/sec accuracy=33.612705 loss=3.004267 lr=0.092897 Epoch[061] Batch [3099]/[3759] Speed: 95.958210 samples/sec accuracy=33.596774 loss=3.005789 lr=0.092891 Epoch[061] Batch [3149]/[3759] Speed: 95.913447 samples/sec accuracy=33.601190 loss=3.006358 lr=0.092884 Epoch[061] Batch [3199]/[3759] Speed: 97.082270 samples/sec accuracy=33.598145 loss=3.006769 lr=0.092877 Epoch[061] Batch [3249]/[3759] Speed: 97.122619 samples/sec accuracy=33.584615 loss=3.007270 lr=0.092871 Epoch[061] Batch [3299]/[3759] Speed: 95.663491 samples/sec accuracy=33.583807 loss=3.007393 lr=0.092864 Epoch[061] Batch [3349]/[3759] Speed: 96.637347 samples/sec accuracy=33.588153 loss=3.007657 lr=0.092857 Epoch[061] Batch [3399]/[3759] Speed: 96.083354 samples/sec accuracy=33.588235 loss=3.007489 lr=0.092851 Epoch[061] Batch [3449]/[3759] Speed: 97.067245 samples/sec accuracy=33.578804 loss=3.007370 lr=0.092844 Epoch[061] Batch [3499]/[3759] Speed: 96.671363 samples/sec accuracy=33.585714 loss=3.006747 lr=0.092837 Epoch[061] Batch [3549]/[3759] Speed: 96.153223 samples/sec accuracy=33.585387 loss=3.006495 lr=0.092831 Epoch[061] Batch [3599]/[3759] Speed: 96.994862 samples/sec accuracy=33.589410 loss=3.006496 lr=0.092824 Epoch[061] Batch [3649]/[3759] Speed: 95.351716 samples/sec accuracy=33.589897 loss=3.006439 lr=0.092818 Epoch[061] Batch [3699]/[3759] Speed: 96.714957 samples/sec accuracy=33.600084 loss=3.005533 lr=0.092811 Epoch[061] Batch [3749]/[3759] Speed: 108.155732 samples/sec accuracy=33.625000 loss=3.004923 lr=0.092804 Batch [0049]/[0303]: acc-top1=34.531250 acc-top5=61.187500 Batch [0099]/[0303]: acc-top1=32.078125 acc-top5=58.406250 Batch [0149]/[0303]: acc-top1=34.687500 acc-top5=60.677083 Batch [0199]/[0303]: acc-top1=37.132812 acc-top5=62.718750 Batch [0249]/[0303]: acc-top1=36.150000 acc-top5=62.737500 Batch [0299]/[0303]: acc-top1=35.572917 acc-top5=62.697917 [Epoch 061] training: accuracy=33.628458 loss=3.004742 [Epoch 061] speed: 96 samples/sec time cost: 2699.171924 [Epoch 061] validation: acc-top1=35.530116 acc-top5=62.618606 loss=3.072649 Epoch[062] Batch [0049]/[3760] Speed: 66.585990 samples/sec accuracy=34.843750 loss=2.954165 lr=0.092796 Epoch[062] Batch [0099]/[3760] Speed: 93.966888 samples/sec accuracy=34.625000 loss=2.968666 lr=0.092790 Epoch[062] Batch [0149]/[3760] Speed: 96.772463 samples/sec accuracy=34.406250 loss=2.971238 lr=0.092783 Epoch[062] Batch [0199]/[3760] Speed: 96.201270 samples/sec accuracy=34.093750 loss=2.982338 lr=0.092776 Epoch[062] Batch [0249]/[3760] Speed: 98.158790 samples/sec accuracy=34.187500 loss=2.970731 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lr=0.092384 Epoch[062] Batch [3149]/[3760] Speed: 95.274204 samples/sec accuracy=33.777778 loss=2.998257 lr=0.092377 Epoch[062] Batch [3199]/[3760] Speed: 97.278037 samples/sec accuracy=33.772461 loss=2.998497 lr=0.092371 Epoch[062] Batch [3249]/[3760] Speed: 97.406571 samples/sec accuracy=33.744231 loss=2.999521 lr=0.092364 Epoch[062] Batch [3299]/[3760] Speed: 96.900279 samples/sec accuracy=33.751894 loss=2.999007 lr=0.092357 Epoch[062] Batch [3349]/[3760] Speed: 95.682341 samples/sec accuracy=33.756063 loss=2.998833 lr=0.092350 Epoch[062] Batch [3399]/[3760] Speed: 96.459022 samples/sec accuracy=33.761949 loss=2.999087 lr=0.092343 Epoch[062] Batch [3449]/[3760] Speed: 96.503785 samples/sec accuracy=33.744565 loss=2.999796 lr=0.092336 Epoch[062] Batch [3499]/[3760] Speed: 96.177205 samples/sec accuracy=33.730804 loss=3.000126 lr=0.092329 Epoch[062] Batch [3549]/[3760] Speed: 96.339658 samples/sec accuracy=33.738116 loss=2.999852 lr=0.092323 Epoch[062] Batch [3599]/[3760] Speed: 96.296743 samples/sec accuracy=33.742622 loss=2.999751 lr=0.092316 Epoch[062] Batch [3649]/[3760] Speed: 95.154325 samples/sec accuracy=33.747860 loss=2.999152 lr=0.092309 Epoch[062] Batch [3699]/[3760] Speed: 97.358100 samples/sec accuracy=33.742399 loss=2.999828 lr=0.092302 Epoch[062] Batch [3749]/[3760] Speed: 108.294785 samples/sec accuracy=33.732083 loss=3.000331 lr=0.092295 Batch [0049]/[0303]: acc-top1=36.500000 acc-top5=62.750000 Batch [0099]/[0303]: acc-top1=31.343750 acc-top5=58.031250 Batch [0149]/[0303]: acc-top1=31.875000 acc-top5=58.406250 Batch [0199]/[0303]: acc-top1=34.492188 acc-top5=60.140625 Batch [0249]/[0303]: acc-top1=33.525000 acc-top5=59.656250 Batch [0299]/[0303]: acc-top1=33.020833 acc-top5=59.875000 [Epoch 062] training: accuracy=33.725482 loss=3.000662 [Epoch 062] speed: 96 samples/sec time cost: 2703.360274 [Epoch 062] validation: acc-top1=33.060025 acc-top5=59.900990 loss=3.255344 Epoch[063] Batch [0049]/[3760] Speed: 66.318524 samples/sec accuracy=34.062500 loss=2.946800 lr=0.092287 Epoch[063] Batch [0099]/[3760] Speed: 94.344219 samples/sec accuracy=34.203125 loss=2.954563 lr=0.092280 Epoch[063] Batch [0149]/[3760] Speed: 97.177126 samples/sec accuracy=34.312500 loss=2.969448 lr=0.092273 Epoch[063] Batch [0199]/[3760] Speed: 95.561107 samples/sec accuracy=34.226562 loss=2.962895 lr=0.092266 Epoch[063] Batch [0249]/[3760] Speed: 98.039140 samples/sec accuracy=34.193750 loss=2.965868 lr=0.092259 Epoch[063] Batch [0299]/[3760] Speed: 95.192501 samples/sec accuracy=34.067708 loss=2.969431 lr=0.092252 Epoch[063] Batch [0349]/[3760] Speed: 96.478533 samples/sec accuracy=34.008929 loss=2.968085 lr=0.092245 Epoch[063] Batch [0399]/[3760] Speed: 95.233406 samples/sec accuracy=34.039062 loss=2.970678 lr=0.092239 Epoch[063] Batch [0449]/[3760] Speed: 97.261326 samples/sec accuracy=34.173611 loss=2.962954 lr=0.092232 Epoch[063] Batch [0499]/[3760] Speed: 96.286291 samples/sec accuracy=34.259375 loss=2.961325 lr=0.092225 Epoch[063] 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accuracy=33.824353 loss=2.993336 lr=0.091890 Epoch[063] Batch [2949]/[3760] Speed: 97.117513 samples/sec accuracy=33.856462 loss=2.991996 lr=0.091883 Epoch[063] Batch [2999]/[3760] Speed: 96.414729 samples/sec accuracy=33.840625 loss=2.992155 lr=0.091876 Epoch[063] Batch [3049]/[3760] Speed: 97.334741 samples/sec accuracy=33.860656 loss=2.991287 lr=0.091869 Epoch[063] Batch [3099]/[3760] Speed: 97.408315 samples/sec accuracy=33.855847 loss=2.990655 lr=0.091862 Epoch[063] Batch [3149]/[3760] Speed: 96.310844 samples/sec accuracy=33.864583 loss=2.990805 lr=0.091855 Epoch[063] Batch [3199]/[3760] Speed: 96.556533 samples/sec accuracy=33.842773 loss=2.991610 lr=0.091848 Epoch[063] Batch [3249]/[3760] Speed: 96.455606 samples/sec accuracy=33.834615 loss=2.991265 lr=0.091841 Epoch[063] Batch [3299]/[3760] Speed: 95.405336 samples/sec accuracy=33.820549 loss=2.992122 lr=0.091834 Epoch[063] Batch [3349]/[3760] Speed: 97.912968 samples/sec accuracy=33.824627 loss=2.992221 lr=0.091826 Epoch[063] Batch [3399]/[3760] Speed: 96.418569 samples/sec accuracy=33.834559 loss=2.992103 lr=0.091819 Epoch[063] Batch [3449]/[3760] Speed: 96.566027 samples/sec accuracy=33.812953 loss=2.993446 lr=0.091812 Epoch[063] Batch [3499]/[3760] Speed: 96.233747 samples/sec accuracy=33.809821 loss=2.994094 lr=0.091805 Epoch[063] Batch [3549]/[3760] Speed: 96.228073 samples/sec accuracy=33.805458 loss=2.994494 lr=0.091798 Epoch[063] Batch [3599]/[3760] Speed: 96.600579 samples/sec accuracy=33.810764 loss=2.994015 lr=0.091791 Epoch[063] Batch [3649]/[3760] Speed: 96.167321 samples/sec accuracy=33.808219 loss=2.993699 lr=0.091784 Epoch[063] Batch [3699]/[3760] Speed: 95.386313 samples/sec accuracy=33.806588 loss=2.994006 lr=0.091777 Epoch[063] Batch [3749]/[3760] Speed: 110.496642 samples/sec accuracy=33.802500 loss=2.994028 lr=0.091770 Batch [0049]/[0303]: acc-top1=34.000000 acc-top5=60.500000 Batch [0099]/[0303]: acc-top1=31.609375 acc-top5=58.296875 Batch [0149]/[0303]: acc-top1=33.052083 acc-top5=59.729167 Batch [0199]/[0303]: acc-top1=35.578125 acc-top5=61.820312 Batch [0249]/[0303]: acc-top1=35.393750 acc-top5=61.931250 Batch [0299]/[0303]: acc-top1=35.359375 acc-top5=62.223958 [Epoch 063] training: accuracy=33.801945 loss=2.993926 [Epoch 063] speed: 96 samples/sec time cost: 2701.145427 [Epoch 063] validation: acc-top1=35.396040 acc-top5=62.283416 loss=3.084807 Epoch[064] Batch [0049]/[3759] Speed: 66.911863 samples/sec accuracy=34.687500 loss=2.935407 lr=0.091761 Epoch[064] Batch [0099]/[3759] Speed: 92.771672 samples/sec accuracy=34.296875 loss=2.953313 lr=0.091754 Epoch[064] Batch [0149]/[3759] Speed: 97.972545 samples/sec accuracy=34.979167 loss=2.939610 lr=0.091747 Epoch[064] Batch [0199]/[3759] Speed: 94.549581 samples/sec accuracy=34.859375 loss=2.949516 lr=0.091740 Epoch[064] Batch [0249]/[3759] Speed: 97.676319 samples/sec accuracy=34.356250 loss=2.960955 lr=0.091733 Epoch[064] Batch [0299]/[3759] Speed: 95.293599 samples/sec accuracy=33.958333 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accuracy=33.952500 loss=2.974704 lr=0.091590 Epoch[064] Batch [1299]/[3759] Speed: 96.930168 samples/sec accuracy=33.975962 loss=2.973436 lr=0.091583 Epoch[064] Batch [1349]/[3759] Speed: 96.817743 samples/sec accuracy=33.953704 loss=2.975453 lr=0.091576 Epoch[064] Batch [1399]/[3759] Speed: 96.006615 samples/sec accuracy=33.962054 loss=2.974570 lr=0.091569 Epoch[064] Batch [1449]/[3759] Speed: 97.151294 samples/sec accuracy=33.985991 loss=2.974322 lr=0.091562 Epoch[064] Batch [1499]/[3759] Speed: 95.725704 samples/sec accuracy=34.007292 loss=2.972453 lr=0.091554 Epoch[064] Batch [1549]/[3759] Speed: 96.387365 samples/sec accuracy=33.989919 loss=2.975284 lr=0.091547 Epoch[064] Batch [1599]/[3759] Speed: 96.703640 samples/sec accuracy=34.001953 loss=2.974852 lr=0.091540 Epoch[064] Batch [1649]/[3759] Speed: 95.512395 samples/sec accuracy=34.022727 loss=2.974746 lr=0.091533 Epoch[064] Batch [1699]/[3759] Speed: 96.719572 samples/sec accuracy=34.003676 loss=2.975493 lr=0.091526 Epoch[064] 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accuracy=34.015625 loss=2.980092 lr=0.091454 Epoch[064] Batch [2249]/[3759] Speed: 96.346336 samples/sec accuracy=34.012500 loss=2.980045 lr=0.091447 Epoch[064] Batch [2299]/[3759] Speed: 96.983134 samples/sec accuracy=34.010870 loss=2.981008 lr=0.091439 Epoch[064] Batch [2349]/[3759] Speed: 95.636518 samples/sec accuracy=33.994016 loss=2.982327 lr=0.091432 Epoch[064] Batch [2399]/[3759] Speed: 96.624598 samples/sec accuracy=34.012370 loss=2.980965 lr=0.091425 Epoch[064] Batch [2449]/[3759] Speed: 96.898297 samples/sec accuracy=34.024872 loss=2.980876 lr=0.091418 Epoch[064] Batch [2499]/[3759] Speed: 95.847637 samples/sec accuracy=33.988125 loss=2.982275 lr=0.091410 Epoch[064] Batch [2549]/[3759] Speed: 96.694005 samples/sec accuracy=34.003676 loss=2.982149 lr=0.091403 Epoch[064] Batch [2599]/[3759] Speed: 96.720723 samples/sec accuracy=33.989183 loss=2.984038 lr=0.091396 Epoch[064] Batch [2649]/[3759] Speed: 95.670002 samples/sec accuracy=33.981132 loss=2.982696 lr=0.091389 Epoch[064] Batch [2699]/[3759] Speed: 96.969797 samples/sec accuracy=33.971644 loss=2.982863 lr=0.091382 Epoch[064] Batch [2749]/[3759] Speed: 95.649262 samples/sec accuracy=33.957386 loss=2.983218 lr=0.091374 Epoch[064] Batch [2799]/[3759] Speed: 97.741689 samples/sec accuracy=33.954799 loss=2.983767 lr=0.091367 Epoch[064] Batch [2849]/[3759] Speed: 95.820273 samples/sec accuracy=33.928728 loss=2.984556 lr=0.091360 Epoch[064] Batch [2899]/[3759] Speed: 97.035010 samples/sec accuracy=33.916487 loss=2.985599 lr=0.091353 Epoch[064] Batch [2949]/[3759] Speed: 96.080122 samples/sec accuracy=33.915254 loss=2.985769 lr=0.091345 Epoch[064] Batch [2999]/[3759] Speed: 96.223719 samples/sec accuracy=33.923958 loss=2.985268 lr=0.091338 Epoch[064] Batch [3049]/[3759] Speed: 97.039937 samples/sec accuracy=33.919057 loss=2.985477 lr=0.091331 Epoch[064] Batch [3099]/[3759] Speed: 96.292797 samples/sec accuracy=33.927419 loss=2.985916 lr=0.091324 Epoch[064] Batch [3149]/[3759] Speed: 96.755222 samples/sec accuracy=33.932540 loss=2.985253 lr=0.091316 Epoch[064] Batch [3199]/[3759] Speed: 96.406452 samples/sec accuracy=33.920898 loss=2.986569 lr=0.091309 Epoch[064] Batch [3249]/[3759] Speed: 98.193017 samples/sec accuracy=33.912500 loss=2.986638 lr=0.091302 Epoch[064] Batch [3299]/[3759] Speed: 95.924069 samples/sec accuracy=33.898674 loss=2.987190 lr=0.091294 Epoch[064] Batch [3349]/[3759] Speed: 96.075280 samples/sec accuracy=33.878731 loss=2.987997 lr=0.091287 Epoch[064] Batch [3399]/[3759] Speed: 96.149308 samples/sec accuracy=33.854320 loss=2.988834 lr=0.091280 Epoch[064] Batch [3449]/[3759] Speed: 96.537552 samples/sec accuracy=33.853714 loss=2.988482 lr=0.091273 Epoch[064] Batch [3499]/[3759] Speed: 96.558676 samples/sec accuracy=33.846875 loss=2.988872 lr=0.091265 Epoch[064] Batch [3549]/[3759] Speed: 96.085300 samples/sec accuracy=33.858275 loss=2.988562 lr=0.091258 Epoch[064] Batch [3599]/[3759] Speed: 97.333832 samples/sec accuracy=33.869792 loss=2.987761 lr=0.091251 Epoch[064] Batch [3649]/[3759] Speed: 95.993254 samples/sec accuracy=33.880137 loss=2.987674 lr=0.091243 Epoch[064] Batch [3699]/[3759] Speed: 97.083749 samples/sec accuracy=33.859797 loss=2.988925 lr=0.091236 Epoch[064] Batch [3749]/[3759] Speed: 109.600390 samples/sec accuracy=33.870000 loss=2.988523 lr=0.091229 Batch [0049]/[0303]: acc-top1=32.750000 acc-top5=59.281250 Batch [0099]/[0303]: acc-top1=30.609375 acc-top5=56.296875 Batch [0149]/[0303]: acc-top1=31.364583 acc-top5=57.031250 Batch [0199]/[0303]: acc-top1=33.664062 acc-top5=59.437500 Batch [0249]/[0303]: acc-top1=33.087500 acc-top5=58.906250 Batch [0299]/[0303]: acc-top1=32.776042 acc-top5=59.187500 [Epoch 064] training: accuracy=33.867884 loss=2.988615 [Epoch 064] speed: 96 samples/sec time cost: 2702.387082 [Epoch 064] validation: acc-top1=32.740305 acc-top5=59.142946 loss=3.333139 Epoch[065] Batch [0049]/[3760] Speed: 66.090134 samples/sec accuracy=35.375000 loss=2.920479 lr=0.091220 Epoch[065] Batch [0099]/[3760] Speed: 93.201051 samples/sec accuracy=35.328125 loss=2.918321 lr=0.091213 Epoch[065] Batch [0149]/[3760] Speed: 96.800315 samples/sec accuracy=35.333333 loss=2.898717 lr=0.091206 Epoch[065] Batch [0199]/[3760] Speed: 95.116828 samples/sec accuracy=35.257812 loss=2.908053 lr=0.091198 Epoch[065] Batch [0249]/[3760] Speed: 95.551975 samples/sec accuracy=35.081250 loss=2.923220 lr=0.091191 Epoch[065] Batch [0299]/[3760] Speed: 95.552646 samples/sec accuracy=34.963542 loss=2.929495 lr=0.091184 Epoch[065] Batch [0349]/[3760] Speed: 96.654376 samples/sec accuracy=34.821429 loss=2.939402 lr=0.091176 Epoch[065] Batch [0399]/[3760] Speed: 96.495369 samples/sec accuracy=34.839844 loss=2.939545 lr=0.091169 Epoch[065] Batch [0449]/[3760] Speed: 96.761702 samples/sec accuracy=34.753472 loss=2.943917 lr=0.091162 Epoch[065] Batch [0499]/[3760] Speed: 96.594809 samples/sec accuracy=34.965625 loss=2.937758 lr=0.091154 Epoch[065] Batch [0549]/[3760] Speed: 95.376394 samples/sec accuracy=34.673295 loss=2.945997 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lr=0.090725 Epoch[065] Batch [3449]/[3760] Speed: 95.844794 samples/sec accuracy=34.086957 loss=2.979722 lr=0.090718 Epoch[065] Batch [3499]/[3760] Speed: 96.406111 samples/sec accuracy=34.071429 loss=2.980146 lr=0.090710 Epoch[065] Batch [3549]/[3760] Speed: 95.475236 samples/sec accuracy=34.045335 loss=2.980868 lr=0.090703 Epoch[065] Batch [3599]/[3760] Speed: 96.843905 samples/sec accuracy=34.036024 loss=2.981200 lr=0.090695 Epoch[065] Batch [3649]/[3760] Speed: 97.396891 samples/sec accuracy=34.031250 loss=2.981438 lr=0.090688 Epoch[065] Batch [3699]/[3760] Speed: 95.435198 samples/sec accuracy=34.031672 loss=2.981555 lr=0.090680 Epoch[065] Batch [3749]/[3760] Speed: 110.294751 samples/sec accuracy=34.014167 loss=2.982092 lr=0.090673 Batch [0049]/[0303]: acc-top1=35.187500 acc-top5=61.062500 Batch [0099]/[0303]: acc-top1=32.203125 acc-top5=58.546875 Batch [0149]/[0303]: acc-top1=33.739583 acc-top5=59.583333 Batch [0199]/[0303]: acc-top1=35.320312 acc-top5=61.242188 Batch [0249]/[0303]: acc-top1=34.631250 acc-top5=60.806250 Batch [0299]/[0303]: acc-top1=33.859375 acc-top5=60.640625 [Epoch 065] training: accuracy=34.007231 loss=2.982135 [Epoch 065] speed: 95 samples/sec time cost: 2705.306144 [Epoch 065] validation: acc-top1=33.854167 acc-top5=60.659035 loss=3.125975 Epoch[066] Batch [0049]/[3759] Speed: 65.888064 samples/sec accuracy=32.937500 loss=2.983638 lr=0.090664 Epoch[066] Batch [0099]/[3759] Speed: 93.741748 samples/sec accuracy=34.500000 loss=2.934888 lr=0.090656 Epoch[066] Batch [0149]/[3759] Speed: 97.240631 samples/sec accuracy=34.552083 loss=2.928254 lr=0.090649 Epoch[066] Batch [0199]/[3759] Speed: 95.874291 samples/sec accuracy=34.562500 loss=2.938413 lr=0.090641 Epoch[066] Batch [0249]/[3759] Speed: 95.986974 samples/sec accuracy=34.706250 loss=2.935858 lr=0.090634 Epoch[066] Batch [0299]/[3759] Speed: 97.432573 samples/sec accuracy=34.697917 loss=2.941619 lr=0.090626 Epoch[066] Batch [0349]/[3759] Speed: 96.285858 samples/sec accuracy=34.540179 loss=2.945448 lr=0.090619 Epoch[066] Batch [0399]/[3759] Speed: 96.625253 samples/sec accuracy=34.542969 loss=2.950198 lr=0.090611 Epoch[066] Batch [0449]/[3759] Speed: 96.345313 samples/sec accuracy=34.555556 loss=2.947025 lr=0.090603 Epoch[066] Batch [0499]/[3759] Speed: 96.785855 samples/sec accuracy=34.540625 loss=2.952038 lr=0.090596 Epoch[066] Batch [0549]/[3759] Speed: 96.654424 samples/sec accuracy=34.534091 loss=2.955719 lr=0.090588 Epoch[066] Batch [0599]/[3759] Speed: 94.960944 samples/sec accuracy=34.445312 loss=2.958714 lr=0.090581 Epoch[066] Batch [0649]/[3759] Speed: 97.382191 samples/sec accuracy=34.543269 loss=2.954458 lr=0.090573 Epoch[066] Batch [0699]/[3759] Speed: 96.627584 samples/sec accuracy=34.500000 loss=2.956433 lr=0.090566 Epoch[066] Batch [0749]/[3759] Speed: 95.706617 samples/sec accuracy=34.556250 loss=2.952948 lr=0.090558 Epoch[066] Batch [0799]/[3759] Speed: 96.673560 samples/sec accuracy=34.580078 loss=2.956307 lr=0.090551 Epoch[066] 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accuracy=34.563702 loss=2.959182 lr=0.090475 Epoch[066] Batch [1349]/[3759] Speed: 96.925092 samples/sec accuracy=34.578704 loss=2.958378 lr=0.090468 Epoch[066] Batch [1399]/[3759] Speed: 96.615574 samples/sec accuracy=34.545759 loss=2.960609 lr=0.090460 Epoch[066] Batch [1449]/[3759] Speed: 96.682862 samples/sec accuracy=34.576509 loss=2.961239 lr=0.090452 Epoch[066] Batch [1499]/[3759] Speed: 97.071669 samples/sec accuracy=34.546875 loss=2.963350 lr=0.090445 Epoch[066] Batch [1549]/[3759] Speed: 95.960922 samples/sec accuracy=34.548387 loss=2.963528 lr=0.090437 Epoch[066] Batch [1599]/[3759] Speed: 96.636530 samples/sec accuracy=34.546875 loss=2.964717 lr=0.090430 Epoch[066] Batch [1649]/[3759] Speed: 96.484294 samples/sec accuracy=34.501894 loss=2.966033 lr=0.090422 Epoch[066] Batch [1699]/[3759] Speed: 96.349594 samples/sec accuracy=34.510110 loss=2.967248 lr=0.090414 Epoch[066] Batch [1749]/[3759] Speed: 94.224530 samples/sec accuracy=34.497321 loss=2.967106 lr=0.090407 Epoch[066] 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accuracy=34.287500 loss=2.974965 lr=0.090331 Epoch[066] Batch [2299]/[3759] Speed: 95.767605 samples/sec accuracy=34.277174 loss=2.975254 lr=0.090323 Epoch[066] Batch [2349]/[3759] Speed: 96.209299 samples/sec accuracy=34.269282 loss=2.975321 lr=0.090316 Epoch[066] Batch [2399]/[3759] Speed: 97.899627 samples/sec accuracy=34.266276 loss=2.976374 lr=0.090308 Epoch[066] Batch [2449]/[3759] Speed: 94.813272 samples/sec accuracy=34.287628 loss=2.976112 lr=0.090300 Epoch[066] Batch [2499]/[3759] Speed: 96.469603 samples/sec accuracy=34.270000 loss=2.976159 lr=0.090293 Epoch[066] Batch [2549]/[3759] Speed: 96.880291 samples/sec accuracy=34.249387 loss=2.977375 lr=0.090285 Epoch[066] Batch [2599]/[3759] Speed: 96.711467 samples/sec accuracy=34.238582 loss=2.977615 lr=0.090277 Epoch[066] Batch [2649]/[3759] Speed: 96.954308 samples/sec accuracy=34.258844 loss=2.976821 lr=0.090270 Epoch[066] Batch [2699]/[3759] Speed: 95.535794 samples/sec accuracy=34.222801 loss=2.977937 lr=0.090262 Epoch[066] Batch [2749]/[3759] Speed: 96.089466 samples/sec accuracy=34.210795 loss=2.977954 lr=0.090254 Epoch[066] Batch [2799]/[3759] Speed: 94.305968 samples/sec accuracy=34.223772 loss=2.977900 lr=0.090247 Epoch[066] Batch [2849]/[3759] Speed: 97.727063 samples/sec accuracy=34.222588 loss=2.977764 lr=0.090239 Epoch[066] Batch [2899]/[3759] Speed: 96.708825 samples/sec accuracy=34.214440 loss=2.978415 lr=0.090231 Epoch[066] Batch [2949]/[3759] Speed: 95.976218 samples/sec accuracy=34.225106 loss=2.977989 lr=0.090224 Epoch[066] Batch [2999]/[3759] Speed: 97.466232 samples/sec accuracy=34.235417 loss=2.977625 lr=0.090216 Epoch[066] Batch [3049]/[3759] Speed: 96.141321 samples/sec accuracy=34.230533 loss=2.978026 lr=0.090208 Epoch[066] Batch [3099]/[3759] Speed: 96.471987 samples/sec accuracy=34.205141 loss=2.978667 lr=0.090201 Epoch[066] Batch [3149]/[3759] Speed: 96.692533 samples/sec accuracy=34.214286 loss=2.978699 lr=0.090193 Epoch[066] Batch [3199]/[3759] Speed: 96.220965 samples/sec accuracy=34.209473 loss=2.978372 lr=0.090185 Epoch[066] Batch [3249]/[3759] Speed: 97.042677 samples/sec accuracy=34.209615 loss=2.978611 lr=0.090178 Epoch[066] Batch [3299]/[3759] Speed: 96.779709 samples/sec accuracy=34.189394 loss=2.978745 lr=0.090170 Epoch[066] Batch [3349]/[3759] Speed: 96.927094 samples/sec accuracy=34.186101 loss=2.978594 lr=0.090162 Epoch[066] Batch [3399]/[3759] Speed: 95.180838 samples/sec accuracy=34.186581 loss=2.978054 lr=0.090155 Epoch[066] Batch [3449]/[3759] Speed: 96.864920 samples/sec accuracy=34.187500 loss=2.977780 lr=0.090147 Epoch[066] Batch [3499]/[3759] Speed: 96.650506 samples/sec accuracy=34.195982 loss=2.977537 lr=0.090139 Epoch[066] Batch [3549]/[3759] Speed: 96.963501 samples/sec accuracy=34.209947 loss=2.976973 lr=0.090132 Epoch[066] Batch [3599]/[3759] Speed: 96.167574 samples/sec accuracy=34.190104 loss=2.977563 lr=0.090124 Epoch[066] Batch [3649]/[3759] Speed: 96.306069 samples/sec accuracy=34.196918 loss=2.977141 lr=0.090116 Epoch[066] Batch [3699]/[3759] Speed: 96.283124 samples/sec accuracy=34.175676 loss=2.977814 lr=0.090109 Epoch[066] Batch [3749]/[3759] Speed: 107.675406 samples/sec accuracy=34.160417 loss=2.978801 lr=0.090101 Batch [0049]/[0303]: acc-top1=31.875000 acc-top5=58.875000 Batch [0099]/[0303]: acc-top1=30.609375 acc-top5=57.703125 Batch [0149]/[0303]: acc-top1=31.833333 acc-top5=58.875000 Batch [0199]/[0303]: acc-top1=34.625000 acc-top5=60.710937 Batch [0249]/[0303]: acc-top1=33.275000 acc-top5=59.700000 Batch [0299]/[0303]: acc-top1=32.979167 acc-top5=59.885417 [Epoch 066] training: accuracy=34.157605 loss=2.978914 [Epoch 066] speed: 96 samples/sec time cost: 2702.801086 [Epoch 066] validation: acc-top1=32.920792 acc-top5=59.854579 loss=3.273820 Epoch[067] Batch [0049]/[3760] Speed: 66.591441 samples/sec accuracy=34.750000 loss=2.933259 lr=0.090092 Epoch[067] Batch [0099]/[3760] Speed: 92.289808 samples/sec accuracy=34.250000 loss=2.954814 lr=0.090084 Epoch[067] Batch [0149]/[3760] Speed: 97.935535 samples/sec accuracy=34.593750 loss=2.956977 lr=0.090076 Epoch[067] Batch [0199]/[3760] Speed: 96.150199 samples/sec accuracy=34.726562 loss=2.952491 lr=0.090069 Epoch[067] Batch [0249]/[3760] Speed: 96.421986 samples/sec accuracy=34.681250 loss=2.956933 lr=0.090061 Epoch[067] Batch [0299]/[3760] Speed: 96.057748 samples/sec accuracy=34.630208 loss=2.959529 lr=0.090053 Epoch[067] Batch [0349]/[3760] Speed: 96.424763 samples/sec accuracy=34.714286 loss=2.957516 lr=0.090046 Epoch[067] Batch [0399]/[3760] Speed: 97.170800 samples/sec accuracy=34.593750 loss=2.963067 lr=0.090038 Epoch[067] Batch [0449]/[3760] Speed: 95.605017 samples/sec accuracy=34.621528 loss=2.962146 lr=0.090030 Epoch[067] Batch [0499]/[3760] Speed: 96.273181 samples/sec accuracy=34.728125 loss=2.953692 lr=0.090022 Epoch[067] Batch [0549]/[3760] Speed: 97.041147 samples/sec accuracy=34.730114 loss=2.954048 lr=0.090015 Epoch[067] Batch [0599]/[3760] Speed: 95.818311 samples/sec accuracy=34.700521 loss=2.953008 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lr=0.089562 Epoch[067] Batch [3499]/[3760] Speed: 96.768551 samples/sec accuracy=34.320536 loss=2.967354 lr=0.089554 Epoch[067] Batch [3549]/[3760] Speed: 95.608690 samples/sec accuracy=34.320863 loss=2.967760 lr=0.089546 Epoch[067] Batch [3599]/[3760] Speed: 96.364545 samples/sec accuracy=34.342882 loss=2.967302 lr=0.089538 Epoch[067] Batch [3649]/[3760] Speed: 95.997848 samples/sec accuracy=34.340325 loss=2.967727 lr=0.089530 Epoch[067] Batch [3699]/[3760] Speed: 97.044705 samples/sec accuracy=34.339105 loss=2.968006 lr=0.089522 Epoch[067] Batch [3749]/[3760] Speed: 109.176877 samples/sec accuracy=34.345417 loss=2.968116 lr=0.089514 Batch [0049]/[0303]: acc-top1=32.125000 acc-top5=58.593750 Batch [0099]/[0303]: acc-top1=29.359375 acc-top5=56.296875 Batch [0149]/[0303]: acc-top1=31.833333 acc-top5=58.656250 Batch [0199]/[0303]: acc-top1=34.757812 acc-top5=60.687500 Batch [0249]/[0303]: acc-top1=34.300000 acc-top5=60.806250 Batch [0299]/[0303]: acc-top1=33.916667 acc-top5=60.822917 [Epoch 067] training: accuracy=34.343833 loss=2.968485 [Epoch 067] speed: 95 samples/sec time cost: 2702.191604 [Epoch 067] validation: acc-top1=33.900578 acc-top5=60.849835 loss=3.136746 Epoch[068] Batch [0049]/[3760] Speed: 65.977025 samples/sec accuracy=33.531250 loss=2.981015 lr=0.089505 Epoch[068] Batch [0099]/[3760] Speed: 92.351265 samples/sec accuracy=34.750000 loss=2.924866 lr=0.089497 Epoch[068] Batch [0149]/[3760] Speed: 96.320610 samples/sec accuracy=34.729167 loss=2.932525 lr=0.089489 Epoch[068] Batch [0199]/[3760] Speed: 95.656004 samples/sec accuracy=34.843750 loss=2.934544 lr=0.089481 Epoch[068] Batch [0249]/[3760] Speed: 97.096018 samples/sec accuracy=34.762500 loss=2.931582 lr=0.089473 Epoch[068] Batch [0299]/[3760] Speed: 95.542903 samples/sec accuracy=34.911458 loss=2.929747 lr=0.089465 Epoch[068] Batch [0349]/[3760] Speed: 96.821156 samples/sec accuracy=34.513393 loss=2.944611 lr=0.089457 Epoch[068] Batch [0399]/[3760] Speed: 95.888607 samples/sec accuracy=34.593750 loss=2.940840 lr=0.089449 Epoch[068] Batch [0449]/[3760] Speed: 96.500772 samples/sec accuracy=34.607639 loss=2.947556 lr=0.089441 Epoch[068] Batch [0499]/[3760] Speed: 96.709620 samples/sec accuracy=34.543750 loss=2.947352 lr=0.089433 Epoch[068] Batch [0549]/[3760] Speed: 95.529365 samples/sec accuracy=34.576705 loss=2.950770 lr=0.089426 Epoch[068] Batch [0599]/[3760] Speed: 96.466464 samples/sec accuracy=34.544271 loss=2.954652 lr=0.089418 Epoch[068] Batch [0649]/[3760] Speed: 96.264793 samples/sec accuracy=34.519231 loss=2.953625 lr=0.089410 Epoch[068] Batch [0699]/[3760] Speed: 96.981170 samples/sec accuracy=34.450893 loss=2.954924 lr=0.089402 Epoch[068] Batch [0749]/[3760] Speed: 94.571483 samples/sec accuracy=34.547917 loss=2.953164 lr=0.089394 Epoch[068] Batch [0799]/[3760] Speed: 96.763939 samples/sec accuracy=34.550781 loss=2.954408 lr=0.089386 Epoch[068] Batch [0849]/[3760] Speed: 96.490156 samples/sec accuracy=34.536765 loss=2.952791 lr=0.089378 Epoch[068] 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accuracy=34.502315 loss=2.951745 lr=0.089298 Epoch[068] Batch [1399]/[3760] Speed: 96.600627 samples/sec accuracy=34.502232 loss=2.950075 lr=0.089290 Epoch[068] Batch [1449]/[3760] Speed: 96.458028 samples/sec accuracy=34.503233 loss=2.951510 lr=0.089282 Epoch[068] Batch [1499]/[3760] Speed: 97.020566 samples/sec accuracy=34.468750 loss=2.954306 lr=0.089274 Epoch[068] Batch [1549]/[3760] Speed: 96.167140 samples/sec accuracy=34.484879 loss=2.954246 lr=0.089266 Epoch[068] Batch [1599]/[3760] Speed: 95.757997 samples/sec accuracy=34.470703 loss=2.955573 lr=0.089258 Epoch[068] Batch [1649]/[3760] Speed: 96.757621 samples/sec accuracy=34.454545 loss=2.956742 lr=0.089250 Epoch[068] Batch [1699]/[3760] Speed: 96.681109 samples/sec accuracy=34.462316 loss=2.954885 lr=0.089242 Epoch[068] Batch [1749]/[3760] Speed: 95.234663 samples/sec accuracy=34.441964 loss=2.955344 lr=0.089234 Epoch[068] Batch [1799]/[3760] Speed: 95.496288 samples/sec accuracy=34.407986 loss=2.956350 lr=0.089226 Epoch[068] 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accuracy=34.379755 loss=2.957736 lr=0.089146 Epoch[068] Batch [2349]/[3760] Speed: 96.628379 samples/sec accuracy=34.392952 loss=2.957286 lr=0.089138 Epoch[068] Batch [2399]/[3760] Speed: 96.207379 samples/sec accuracy=34.400391 loss=2.957056 lr=0.089130 Epoch[068] Batch [2449]/[3760] Speed: 97.149296 samples/sec accuracy=34.394133 loss=2.957064 lr=0.089122 Epoch[068] Batch [2499]/[3760] Speed: 96.474228 samples/sec accuracy=34.405000 loss=2.957169 lr=0.089114 Epoch[068] Batch [2549]/[3760] Speed: 96.805940 samples/sec accuracy=34.417279 loss=2.956662 lr=0.089106 Epoch[068] Batch [2599]/[3760] Speed: 96.846459 samples/sec accuracy=34.418269 loss=2.956572 lr=0.089098 Epoch[068] Batch [2649]/[3760] Speed: 96.005302 samples/sec accuracy=34.387382 loss=2.958085 lr=0.089090 Epoch[068] Batch [2699]/[3760] Speed: 96.607911 samples/sec accuracy=34.384259 loss=2.958555 lr=0.089082 Epoch[068] Batch [2749]/[3760] Speed: 97.191863 samples/sec accuracy=34.385227 loss=2.959111 lr=0.089074 Epoch[068] Batch [2799]/[3760] Speed: 96.696244 samples/sec accuracy=34.380022 loss=2.959163 lr=0.089066 Epoch[068] Batch [2849]/[3760] Speed: 96.212433 samples/sec accuracy=34.374452 loss=2.959084 lr=0.089058 Epoch[068] Batch [2899]/[3760] Speed: 95.778058 samples/sec accuracy=34.355603 loss=2.959503 lr=0.089050 Epoch[068] Batch [2949]/[3760] Speed: 96.777281 samples/sec accuracy=34.362818 loss=2.959698 lr=0.089042 Epoch[068] Batch [2999]/[3760] Speed: 95.274495 samples/sec accuracy=34.356250 loss=2.960181 lr=0.089034 Epoch[068] Batch [3049]/[3760] Speed: 97.740998 samples/sec accuracy=34.343750 loss=2.960550 lr=0.089026 Epoch[068] Batch [3099]/[3760] Speed: 96.099676 samples/sec accuracy=34.334677 loss=2.961972 lr=0.089018 Epoch[068] Batch [3149]/[3760] Speed: 96.982327 samples/sec accuracy=34.316468 loss=2.962867 lr=0.089010 Epoch[068] Batch [3199]/[3760] Speed: 96.615309 samples/sec accuracy=34.322266 loss=2.963202 lr=0.089001 Epoch[068] Batch [3249]/[3760] Speed: 96.465883 samples/sec accuracy=34.324038 loss=2.963162 lr=0.088993 Epoch[068] Batch [3299]/[3760] Speed: 96.662400 samples/sec accuracy=34.331913 loss=2.963859 lr=0.088985 Epoch[068] Batch [3349]/[3760] Speed: 96.752924 samples/sec accuracy=34.317631 loss=2.963893 lr=0.088977 Epoch[068] Batch [3399]/[3760] Speed: 96.371448 samples/sec accuracy=34.313419 loss=2.964064 lr=0.088969 Epoch[068] Batch [3449]/[3760] Speed: 96.530862 samples/sec accuracy=34.304801 loss=2.964833 lr=0.088961 Epoch[068] Batch [3499]/[3760] Speed: 96.505413 samples/sec accuracy=34.292411 loss=2.965897 lr=0.088953 Epoch[068] Batch [3549]/[3760] Speed: 96.114422 samples/sec accuracy=34.267165 loss=2.966752 lr=0.088945 Epoch[068] Batch [3599]/[3760] Speed: 95.483464 samples/sec accuracy=34.274306 loss=2.966995 lr=0.088937 Epoch[068] Batch [3649]/[3760] Speed: 97.119338 samples/sec accuracy=34.261130 loss=2.967127 lr=0.088929 Epoch[068] Batch [3699]/[3760] Speed: 96.484640 samples/sec accuracy=34.247044 loss=2.967843 lr=0.088921 Epoch[068] Batch [3749]/[3760] Speed: 109.170267 samples/sec accuracy=34.256667 loss=2.967565 lr=0.088913 Batch [0049]/[0303]: acc-top1=33.531250 acc-top5=62.312500 Batch [0099]/[0303]: acc-top1=32.187500 acc-top5=60.156250 Batch [0149]/[0303]: acc-top1=34.093750 acc-top5=60.916667 Batch [0199]/[0303]: acc-top1=36.515625 acc-top5=62.695312 Batch [0249]/[0303]: acc-top1=35.406250 acc-top5=61.668750 Batch [0299]/[0303]: acc-top1=34.625000 acc-top5=61.494792 [Epoch 068] training: accuracy=34.257397 loss=2.967380 [Epoch 068] speed: 95 samples/sec time cost: 2704.030078 [Epoch 068] validation: acc-top1=34.586427 acc-top5=61.468647 loss=3.201736 Epoch[069] Batch [0049]/[3759] Speed: 66.062894 samples/sec accuracy=34.968750 loss=2.922973 lr=0.088903 Epoch[069] Batch [0099]/[3759] Speed: 92.839122 samples/sec accuracy=35.437500 loss=2.917736 lr=0.088895 Epoch[069] Batch [0149]/[3759] Speed: 97.177799 samples/sec accuracy=35.197917 loss=2.910514 lr=0.088887 Epoch[069] Batch [0199]/[3759] Speed: 94.649316 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lr=0.088338 Epoch[069] Batch [3549]/[3759] Speed: 96.129810 samples/sec accuracy=34.386884 loss=2.962414 lr=0.088329 Epoch[069] Batch [3599]/[3759] Speed: 96.822861 samples/sec accuracy=34.377170 loss=2.962443 lr=0.088321 Epoch[069] Batch [3649]/[3759] Speed: 97.015233 samples/sec accuracy=34.383562 loss=2.962262 lr=0.088313 Epoch[069] Batch [3699]/[3759] Speed: 96.835222 samples/sec accuracy=34.382179 loss=2.962691 lr=0.088305 Epoch[069] Batch [3749]/[3759] Speed: 108.348769 samples/sec accuracy=34.369583 loss=2.963287 lr=0.088296 Batch [0049]/[0303]: acc-top1=36.187500 acc-top5=63.843750 Batch [0099]/[0303]: acc-top1=33.421875 acc-top5=61.031250 Batch [0149]/[0303]: acc-top1=34.250000 acc-top5=61.614583 Batch [0199]/[0303]: acc-top1=37.015625 acc-top5=63.726562 Batch [0249]/[0303]: acc-top1=36.206250 acc-top5=63.337500 Batch [0299]/[0303]: acc-top1=35.979167 acc-top5=63.729167 [Epoch 069] training: accuracy=34.371675 loss=2.963209 [Epoch 069] speed: 96 samples/sec time cost: 2698.881280 [Epoch 069] validation: acc-top1=36.020008 acc-top5=63.727310 loss=2.991576 Epoch[070] Batch [0049]/[3760] Speed: 67.117857 samples/sec accuracy=34.875000 loss=2.909911 lr=0.088286 Epoch[070] Batch [0099]/[3760] Speed: 92.757592 samples/sec accuracy=34.687500 loss=2.925269 lr=0.088278 Epoch[070] Batch [0149]/[3760] Speed: 98.453118 samples/sec accuracy=34.906250 loss=2.914930 lr=0.088270 Epoch[070] Batch [0199]/[3760] Speed: 94.171055 samples/sec accuracy=34.843750 loss=2.921819 lr=0.088262 Epoch[070] Batch [0249]/[3760] Speed: 97.738154 samples/sec accuracy=35.012500 loss=2.919089 lr=0.088253 Epoch[070] Batch [0299]/[3760] Speed: 95.871688 samples/sec accuracy=34.776042 loss=2.925662 lr=0.088245 Epoch[070] Batch [0349]/[3760] Speed: 96.162387 samples/sec accuracy=34.575893 loss=2.924091 lr=0.088237 Epoch[070] Batch [0399]/[3760] Speed: 97.198913 samples/sec accuracy=34.757812 loss=2.920595 lr=0.088228 Epoch[070] Batch [0449]/[3760] Speed: 96.872496 samples/sec 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accuracy=34.649554 loss=2.943246 lr=0.088062 Epoch[070] Batch [1449]/[3760] Speed: 95.684425 samples/sec accuracy=34.630388 loss=2.942528 lr=0.088053 Epoch[070] Batch [1499]/[3760] Speed: 96.577509 samples/sec accuracy=34.591667 loss=2.944297 lr=0.088045 Epoch[070] Batch [1549]/[3760] Speed: 96.092711 samples/sec accuracy=34.619960 loss=2.944640 lr=0.088036 Epoch[070] Batch [1599]/[3760] Speed: 96.530275 samples/sec accuracy=34.609375 loss=2.945438 lr=0.088028 Epoch[070] Batch [1649]/[3760] Speed: 96.622962 samples/sec accuracy=34.588068 loss=2.945582 lr=0.088020 Epoch[070] Batch [1699]/[3760] Speed: 95.525194 samples/sec accuracy=34.601103 loss=2.944675 lr=0.088011 Epoch[070] Batch [1749]/[3760] Speed: 97.354886 samples/sec accuracy=34.602679 loss=2.945499 lr=0.088003 Epoch[070] Batch [1799]/[3760] Speed: 96.937583 samples/sec accuracy=34.631076 loss=2.945153 lr=0.087995 Epoch[070] Batch [1849]/[3760] Speed: 96.087854 samples/sec accuracy=34.597973 loss=2.946586 lr=0.087986 Epoch[070] 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accuracy=34.518466 loss=2.953956 lr=0.087742 Epoch[070] Batch [3349]/[3760] Speed: 96.313788 samples/sec accuracy=34.519123 loss=2.953856 lr=0.087733 Epoch[070] Batch [3399]/[3760] Speed: 96.845941 samples/sec accuracy=34.528493 loss=2.953782 lr=0.087725 Epoch[070] Batch [3449]/[3760] Speed: 97.198806 samples/sec accuracy=34.537591 loss=2.953787 lr=0.087716 Epoch[070] Batch [3499]/[3760] Speed: 96.227980 samples/sec accuracy=34.532143 loss=2.953608 lr=0.087708 Epoch[070] Batch [3549]/[3760] Speed: 96.998145 samples/sec accuracy=34.540493 loss=2.952740 lr=0.087700 Epoch[070] Batch [3599]/[3760] Speed: 95.941284 samples/sec accuracy=34.527344 loss=2.952874 lr=0.087691 Epoch[070] Batch [3649]/[3760] Speed: 95.766530 samples/sec accuracy=34.523973 loss=2.953536 lr=0.087683 Epoch[070] Batch [3699]/[3760] Speed: 97.074001 samples/sec accuracy=34.510135 loss=2.954054 lr=0.087674 Epoch[070] Batch [3749]/[3760] Speed: 110.266889 samples/sec accuracy=34.514583 loss=2.953828 lr=0.087666 Batch [0049]/[0303]: acc-top1=36.750000 acc-top5=63.593750 Batch [0099]/[0303]: acc-top1=33.953125 acc-top5=61.312500 Batch [0149]/[0303]: acc-top1=35.572917 acc-top5=62.145833 Batch [0199]/[0303]: acc-top1=38.179688 acc-top5=64.351562 Batch [0249]/[0303]: acc-top1=37.187500 acc-top5=63.675000 Batch [0299]/[0303]: acc-top1=36.302083 acc-top5=63.380208 [Epoch 070] training: accuracy=34.510888 loss=2.953989 [Epoch 070] speed: 96 samples/sec time cost: 2699.747641 [Epoch 070] validation: acc-top1=36.401609 acc-top5=63.361180 loss=2.998685 Epoch[071] Batch [0049]/[3760] Speed: 66.520022 samples/sec accuracy=34.406250 loss=2.882352 lr=0.087655 Epoch[071] Batch [0099]/[3760] Speed: 94.392944 samples/sec accuracy=35.453125 loss=2.863745 lr=0.087647 Epoch[071] Batch [0149]/[3760] Speed: 97.714526 samples/sec accuracy=35.125000 loss=2.874934 lr=0.087638 Epoch[071] Batch [0199]/[3760] Speed: 96.279665 samples/sec accuracy=35.000000 loss=2.879773 lr=0.087630 Epoch[071] Batch [0249]/[3760] Speed: 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lr=0.087383 Epoch[071] Batch [1699]/[3760] Speed: 95.484561 samples/sec accuracy=34.720588 loss=2.938507 lr=0.087374 Epoch[071] Batch [1749]/[3760] Speed: 96.452768 samples/sec accuracy=34.700000 loss=2.939263 lr=0.087366 Epoch[071] Batch [1799]/[3760] Speed: 96.071099 samples/sec accuracy=34.706597 loss=2.938123 lr=0.087357 Epoch[071] Batch [1849]/[3760] Speed: 95.185451 samples/sec accuracy=34.733108 loss=2.937217 lr=0.087348 Epoch[071] Batch [1899]/[3760] Speed: 97.733024 samples/sec accuracy=34.767270 loss=2.937501 lr=0.087340 Epoch[071] Batch [1949]/[3760] Speed: 96.706134 samples/sec accuracy=34.784455 loss=2.937276 lr=0.087331 Epoch[071] Batch [1999]/[3760] Speed: 96.941726 samples/sec accuracy=34.776563 loss=2.938193 lr=0.087323 Epoch[071] Batch [2049]/[3760] Speed: 96.834975 samples/sec accuracy=34.782012 loss=2.937576 lr=0.087314 Epoch[071] Batch [2099]/[3760] Speed: 95.367678 samples/sec accuracy=34.779018 loss=2.938723 lr=0.087305 Epoch[071] Batch [2149]/[3760] Speed: 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lr=0.087219 Epoch[071] Batch [2649]/[3760] Speed: 97.275942 samples/sec accuracy=34.689858 loss=2.943229 lr=0.087211 Epoch[071] Batch [2699]/[3760] Speed: 96.867770 samples/sec accuracy=34.704282 loss=2.942560 lr=0.087202 Epoch[071] Batch [2749]/[3760] Speed: 94.417362 samples/sec accuracy=34.696591 loss=2.942847 lr=0.087194 Epoch[071] Batch [2799]/[3760] Speed: 97.326341 samples/sec accuracy=34.687500 loss=2.943887 lr=0.087185 Epoch[071] Batch [2849]/[3760] Speed: 96.596393 samples/sec accuracy=34.673246 loss=2.943482 lr=0.087176 Epoch[071] Batch [2899]/[3760] Speed: 96.425726 samples/sec accuracy=34.657866 loss=2.945303 lr=0.087168 Epoch[071] Batch [2949]/[3760] Speed: 96.233303 samples/sec accuracy=34.667373 loss=2.945204 lr=0.087159 Epoch[071] Batch [2999]/[3760] Speed: 96.218543 samples/sec accuracy=34.642708 loss=2.946238 lr=0.087151 Epoch[071] Batch [3049]/[3760] Speed: 97.019392 samples/sec accuracy=34.639857 loss=2.947349 lr=0.087142 Epoch[071] Batch [3099]/[3760] Speed: 96.650737 samples/sec accuracy=34.620968 loss=2.948593 lr=0.087133 Epoch[071] Batch [3149]/[3760] Speed: 96.221338 samples/sec accuracy=34.626984 loss=2.948217 lr=0.087125 Epoch[071] Batch [3199]/[3760] Speed: 96.570585 samples/sec accuracy=34.623047 loss=2.948508 lr=0.087116 Epoch[071] Batch [3249]/[3760] Speed: 96.268429 samples/sec accuracy=34.597115 loss=2.949343 lr=0.087107 Epoch[071] Batch [3299]/[3760] Speed: 96.341791 samples/sec accuracy=34.609375 loss=2.949075 lr=0.087099 Epoch[071] Batch [3349]/[3760] Speed: 96.407297 samples/sec accuracy=34.598881 loss=2.949474 lr=0.087090 Epoch[071] Batch [3399]/[3760] Speed: 96.867162 samples/sec accuracy=34.589614 loss=2.949373 lr=0.087081 Epoch[071] Batch [3449]/[3760] Speed: 96.159202 samples/sec accuracy=34.591938 loss=2.949645 lr=0.087073 Epoch[071] Batch [3499]/[3760] Speed: 96.391031 samples/sec accuracy=34.577679 loss=2.950041 lr=0.087064 Epoch[071] Batch [3549]/[3760] Speed: 96.173214 samples/sec accuracy=34.591109 loss=2.949665 lr=0.087055 Epoch[071] Batch [3599]/[3760] Speed: 96.193187 samples/sec accuracy=34.583333 loss=2.949609 lr=0.087047 Epoch[071] Batch [3649]/[3760] Speed: 95.213232 samples/sec accuracy=34.580479 loss=2.948720 lr=0.087038 Epoch[071] Batch [3699]/[3760] Speed: 96.527634 samples/sec accuracy=34.580659 loss=2.948832 lr=0.087029 Epoch[071] Batch [3749]/[3760] Speed: 109.288505 samples/sec accuracy=34.575417 loss=2.948946 lr=0.087021 Batch [0049]/[0303]: acc-top1=34.468750 acc-top5=62.156250 Batch [0099]/[0303]: acc-top1=32.546875 acc-top5=59.828125 Batch [0149]/[0303]: acc-top1=34.062500 acc-top5=60.645833 Batch [0199]/[0303]: acc-top1=36.601562 acc-top5=62.835938 Batch [0249]/[0303]: acc-top1=36.225000 acc-top5=62.856250 Batch [0299]/[0303]: acc-top1=35.302083 acc-top5=62.609375 [Epoch 071] training: accuracy=34.576961 loss=2.948822 [Epoch 071] speed: 96 samples/sec time cost: 2701.265181 [Epoch 071] validation: acc-top1=35.241337 acc-top5=62.597979 loss=3.055269 Epoch[072] Batch [0049]/[3759] Speed: 66.195163 samples/sec accuracy=34.843750 loss=2.914039 lr=0.087010 Epoch[072] Batch [0099]/[3759] Speed: 92.670815 samples/sec accuracy=35.984375 loss=2.859259 lr=0.087002 Epoch[072] Batch [0149]/[3759] Speed: 97.310154 samples/sec accuracy=35.552083 loss=2.876237 lr=0.086993 Epoch[072] Batch [0199]/[3759] Speed: 95.570440 samples/sec accuracy=35.257812 loss=2.879652 lr=0.086984 Epoch[072] Batch [0249]/[3759] Speed: 96.420658 samples/sec accuracy=35.268750 loss=2.884046 lr=0.086976 Epoch[072] Batch [0299]/[3759] Speed: 96.143101 samples/sec accuracy=35.265625 loss=2.890580 lr=0.086967 Epoch[072] Batch [0349]/[3759] Speed: 97.252332 samples/sec accuracy=35.107143 loss=2.908401 lr=0.086958 Epoch[072] Batch [0399]/[3759] Speed: 96.927858 samples/sec accuracy=35.128906 loss=2.905784 lr=0.086950 Epoch[072] Batch [0449]/[3759] Speed: 96.041688 samples/sec accuracy=35.194444 loss=2.903713 lr=0.086941 Epoch[072] Batch [0499]/[3759] Speed: 97.779317 samples/sec accuracy=35.062500 loss=2.911996 lr=0.086932 Epoch[072] Batch [0549]/[3759] Speed: 96.475423 samples/sec accuracy=35.093750 loss=2.913223 lr=0.086923 Epoch[072] Batch [0599]/[3759] Speed: 95.858340 samples/sec accuracy=35.080729 loss=2.918521 lr=0.086915 Epoch[072] Batch [0649]/[3759] Speed: 97.107029 samples/sec accuracy=35.137019 loss=2.916915 lr=0.086906 Epoch[072] Batch [0699]/[3759] Speed: 97.732756 samples/sec accuracy=34.997768 loss=2.923632 lr=0.086897 Epoch[072] Batch [0749]/[3759] Speed: 97.005361 samples/sec accuracy=34.906250 loss=2.930257 lr=0.086889 Epoch[072] Batch [0799]/[3759] Speed: 94.964743 samples/sec accuracy=34.859375 loss=2.934558 lr=0.086880 Epoch[072] Batch [0849]/[3759] Speed: 97.985595 samples/sec accuracy=34.788603 loss=2.938889 lr=0.086871 Epoch[072] Batch [0899]/[3759] Speed: 96.780643 samples/sec accuracy=34.831597 loss=2.939820 lr=0.086863 Epoch[072] Batch [0949]/[3759] Speed: 96.457780 samples/sec accuracy=34.881579 loss=2.936971 lr=0.086854 Epoch[072] Batch [0999]/[3759] Speed: 96.255591 samples/sec accuracy=34.831250 loss=2.938730 lr=0.086845 Epoch[072] Batch [1049]/[3759] Speed: 96.135997 samples/sec accuracy=34.837798 loss=2.939608 lr=0.086836 Epoch[072] Batch [1099]/[3759] Speed: 97.464045 samples/sec accuracy=34.774148 loss=2.942446 lr=0.086828 Epoch[072] Batch [1149]/[3759] Speed: 95.652023 samples/sec accuracy=34.786685 loss=2.942709 lr=0.086819 Epoch[072] Batch [1199]/[3759] Speed: 97.722896 samples/sec accuracy=34.845052 loss=2.942785 lr=0.086810 Epoch[072] Batch [1249]/[3759] Speed: 96.508014 samples/sec accuracy=34.845000 loss=2.942340 lr=0.086802 Epoch[072] Batch [1299]/[3759] Speed: 96.294988 samples/sec accuracy=34.852163 loss=2.940339 lr=0.086793 Epoch[072] Batch [1349]/[3759] Speed: 96.419825 samples/sec accuracy=34.817130 loss=2.943305 lr=0.086784 Epoch[072] Batch [1399]/[3759] Speed: 97.161268 samples/sec accuracy=34.811384 loss=2.944572 lr=0.086775 Epoch[072] Batch [1449]/[3759] Speed: 97.704139 samples/sec accuracy=34.783405 loss=2.944507 lr=0.086767 Epoch[072] Batch [1499]/[3759] Speed: 96.754899 samples/sec accuracy=34.753125 loss=2.943328 lr=0.086758 Epoch[072] Batch [1549]/[3759] Speed: 96.846897 samples/sec accuracy=34.732863 loss=2.944481 lr=0.086749 Epoch[072] Batch [1599]/[3759] Speed: 96.322075 samples/sec accuracy=34.721680 loss=2.944837 lr=0.086740 Epoch[072] Batch [1649]/[3759] Speed: 97.141128 samples/sec accuracy=34.710227 loss=2.945159 lr=0.086732 Epoch[072] Batch [1699]/[3759] Speed: 96.014868 samples/sec accuracy=34.661765 loss=2.947003 lr=0.086723 Epoch[072] Batch [1749]/[3759] Speed: 97.176705 samples/sec accuracy=34.636607 loss=2.947487 lr=0.086714 Epoch[072] Batch [1799]/[3759] Speed: 96.660289 samples/sec accuracy=34.669271 loss=2.946539 lr=0.086705 Epoch[072] Batch [1849]/[3759] Speed: 95.965589 samples/sec accuracy=34.679899 loss=2.946687 lr=0.086697 Epoch[072] Batch [1899]/[3759] Speed: 95.561239 samples/sec accuracy=34.665296 loss=2.945762 lr=0.086688 Epoch[072] Batch [1949]/[3759] Speed: 96.784037 samples/sec accuracy=34.648237 loss=2.946702 lr=0.086679 Epoch[072] Batch [1999]/[3759] Speed: 95.865872 samples/sec accuracy=34.649219 loss=2.944809 lr=0.086670 Epoch[072] Batch [2049]/[3759] Speed: 97.626991 samples/sec accuracy=34.701982 loss=2.943792 lr=0.086661 Epoch[072] Batch [2099]/[3759] Speed: 95.821540 samples/sec accuracy=34.686756 loss=2.944673 lr=0.086653 Epoch[072] Batch [2149]/[3759] Speed: 97.004336 samples/sec accuracy=34.657703 loss=2.945381 lr=0.086644 Epoch[072] Batch [2199]/[3759] Speed: 96.785654 samples/sec accuracy=34.680398 loss=2.945720 lr=0.086635 Epoch[072] Batch [2249]/[3759] Speed: 96.371632 samples/sec accuracy=34.670833 loss=2.944048 lr=0.086626 Epoch[072] Batch [2299]/[3759] Speed: 96.719144 samples/sec accuracy=34.641984 loss=2.945853 lr=0.086618 Epoch[072] Batch [2349]/[3759] Speed: 96.631025 samples/sec accuracy=34.628989 loss=2.946847 lr=0.086609 Epoch[072] Batch [2399]/[3759] Speed: 97.723986 samples/sec accuracy=34.654948 loss=2.945154 lr=0.086600 Epoch[072] Batch [2449]/[3759] Speed: 95.877442 samples/sec accuracy=34.669005 loss=2.944987 lr=0.086591 Epoch[072] Batch [2499]/[3759] Speed: 96.853412 samples/sec accuracy=34.666250 loss=2.944444 lr=0.086582 Epoch[072] Batch [2549]/[3759] Speed: 97.427450 samples/sec accuracy=34.681373 loss=2.943145 lr=0.086574 Epoch[072] Batch [2599]/[3759] Speed: 96.845752 samples/sec accuracy=34.688101 loss=2.943451 lr=0.086565 Epoch[072] Batch [2649]/[3759] Speed: 96.800629 samples/sec accuracy=34.669811 loss=2.945195 lr=0.086556 Epoch[072] Batch [2699]/[3759] Speed: 96.994386 samples/sec accuracy=34.645255 loss=2.945837 lr=0.086547 Epoch[072] Batch [2749]/[3759] Speed: 97.374786 samples/sec accuracy=34.639205 loss=2.946992 lr=0.086538 Epoch[072] Batch [2799]/[3759] Speed: 95.921829 samples/sec accuracy=34.634487 loss=2.947891 lr=0.086530 Epoch[072] Batch [2849]/[3759] Speed: 97.384156 samples/sec accuracy=34.644189 loss=2.947233 lr=0.086521 Epoch[072] Batch [2899]/[3759] Speed: 96.888019 samples/sec accuracy=34.632543 loss=2.948013 lr=0.086512 Epoch[072] Batch [2949]/[3759] Speed: 95.993604 samples/sec accuracy=34.635064 loss=2.947987 lr=0.086503 Epoch[072] Batch [2999]/[3759] Speed: 97.303378 samples/sec accuracy=34.642708 loss=2.947669 lr=0.086494 Epoch[072] Batch [3049]/[3759] Speed: 96.398731 samples/sec accuracy=34.648566 loss=2.947623 lr=0.086486 Epoch[072] Batch [3099]/[3759] Speed: 97.171366 samples/sec accuracy=34.648690 loss=2.947360 lr=0.086477 Epoch[072] Batch [3149]/[3759] Speed: 94.878189 samples/sec accuracy=34.649802 loss=2.947265 lr=0.086468 Epoch[072] Batch [3199]/[3759] Speed: 97.118381 samples/sec accuracy=34.645020 loss=2.947234 lr=0.086459 Epoch[072] Batch [3249]/[3759] Speed: 97.399737 samples/sec accuracy=34.649038 loss=2.946652 lr=0.086450 Epoch[072] Batch [3299]/[3759] Speed: 96.162877 samples/sec accuracy=34.643466 loss=2.946483 lr=0.086441 Epoch[072] Batch [3349]/[3759] Speed: 96.785584 samples/sec accuracy=34.638993 loss=2.946496 lr=0.086433 Epoch[072] Batch [3399]/[3759] Speed: 96.728264 samples/sec accuracy=34.648438 loss=2.945968 lr=0.086424 Epoch[072] Batch [3449]/[3759] Speed: 96.230069 samples/sec accuracy=34.651721 loss=2.945864 lr=0.086415 Epoch[072] Batch [3499]/[3759] Speed: 97.048303 samples/sec accuracy=34.647768 loss=2.945624 lr=0.086406 Epoch[072] Batch [3549]/[3759] Speed: 96.003000 samples/sec accuracy=34.643486 loss=2.945413 lr=0.086397 Epoch[072] Batch [3599]/[3759] Speed: 96.909148 samples/sec accuracy=34.631076 loss=2.945481 lr=0.086388 Epoch[072] Batch [3649]/[3759] Speed: 96.791559 samples/sec accuracy=34.632705 loss=2.945769 lr=0.086380 Epoch[072] Batch [3699]/[3759] Speed: 95.896048 samples/sec accuracy=34.642314 loss=2.945619 lr=0.086371 Epoch[072] Batch [3749]/[3759] Speed: 110.795904 samples/sec accuracy=34.622917 loss=2.946078 lr=0.086362 Batch [0049]/[0303]: acc-top1=31.812500 acc-top5=58.031250 Batch [0099]/[0303]: acc-top1=31.187500 acc-top5=56.953125 Batch [0149]/[0303]: acc-top1=33.229167 acc-top5=58.958333 Batch [0199]/[0303]: acc-top1=36.257812 acc-top5=61.679688 Batch [0249]/[0303]: acc-top1=35.850000 acc-top5=62.100000 Batch [0299]/[0303]: acc-top1=35.463542 acc-top5=62.421875 [Epoch 072] training: accuracy=34.611100 loss=2.946374 [Epoch 072] speed: 96 samples/sec time cost: 2697.476656 [Epoch 072] validation: acc-top1=35.468234 acc-top5=62.448432 loss=3.032854 Epoch[073] Batch [0049]/[3760] Speed: 65.865034 samples/sec accuracy=35.000000 loss=2.892642 lr=0.086351 Epoch[073] Batch [0099]/[3760] Speed: 92.920640 samples/sec accuracy=34.812500 loss=2.908673 lr=0.086343 Epoch[073] Batch [0149]/[3760] Speed: 96.853772 samples/sec accuracy=34.979167 loss=2.917606 lr=0.086334 Epoch[073] Batch [0199]/[3760] Speed: 95.908240 samples/sec accuracy=34.906250 loss=2.914837 lr=0.086325 Epoch[073] Batch [0249]/[3760] Speed: 96.819909 samples/sec accuracy=35.100000 loss=2.906726 lr=0.086316 Epoch[073] Batch [0299]/[3760] 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accuracy=35.004596 loss=2.925248 lr=0.086058 Epoch[073] Batch [1749]/[3760] Speed: 97.490956 samples/sec accuracy=34.991071 loss=2.925308 lr=0.086049 Epoch[073] Batch [1799]/[3760] Speed: 96.459782 samples/sec accuracy=34.967014 loss=2.925638 lr=0.086040 Epoch[073] Batch [1849]/[3760] Speed: 98.087233 samples/sec accuracy=34.977196 loss=2.926343 lr=0.086031 Epoch[073] Batch [1899]/[3760] Speed: 96.246643 samples/sec accuracy=34.980263 loss=2.925675 lr=0.086022 Epoch[073] Batch [1949]/[3760] Speed: 97.750243 samples/sec accuracy=35.002404 loss=2.925351 lr=0.086013 Epoch[073] Batch [1999]/[3760] Speed: 96.501795 samples/sec accuracy=34.970312 loss=2.927453 lr=0.086004 Epoch[073] Batch [2049]/[3760] Speed: 97.498849 samples/sec accuracy=34.955793 loss=2.928653 lr=0.085995 Epoch[073] Batch [2099]/[3760] Speed: 97.373876 samples/sec accuracy=35.011161 loss=2.926686 lr=0.085986 Epoch[073] Batch [2149]/[3760] Speed: 97.198262 samples/sec accuracy=35.005814 loss=2.927591 lr=0.085977 Epoch[073] 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accuracy=34.971108 loss=2.932517 lr=0.085888 Epoch[073] Batch [2699]/[3760] Speed: 96.567573 samples/sec accuracy=34.983218 loss=2.931284 lr=0.085879 Epoch[073] Batch [2749]/[3760] Speed: 96.585194 samples/sec accuracy=34.992614 loss=2.931249 lr=0.085870 Epoch[073] Batch [2799]/[3760] Speed: 97.958761 samples/sec accuracy=34.994420 loss=2.931176 lr=0.085861 Epoch[073] Batch [2849]/[3760] Speed: 97.515044 samples/sec accuracy=34.993969 loss=2.931955 lr=0.085852 Epoch[073] Batch [2899]/[3760] Speed: 97.261963 samples/sec accuracy=34.990841 loss=2.932441 lr=0.085843 Epoch[073] Batch [2949]/[3760] Speed: 96.948728 samples/sec accuracy=34.963983 loss=2.933174 lr=0.085834 Epoch[073] Batch [2999]/[3760] Speed: 96.835250 samples/sec accuracy=34.950000 loss=2.933996 lr=0.085825 Epoch[073] Batch [3049]/[3760] Speed: 97.407147 samples/sec accuracy=34.944672 loss=2.934570 lr=0.085816 Epoch[073] Batch [3099]/[3760] Speed: 97.064803 samples/sec accuracy=34.933468 loss=2.935674 lr=0.085807 Epoch[073] Batch [3149]/[3760] Speed: 97.469897 samples/sec accuracy=34.937004 loss=2.935667 lr=0.085798 Epoch[073] Batch [3199]/[3760] Speed: 96.966922 samples/sec accuracy=34.892578 loss=2.937166 lr=0.085789 Epoch[073] Batch [3249]/[3760] Speed: 97.317992 samples/sec accuracy=34.885096 loss=2.937982 lr=0.085780 Epoch[073] Batch [3299]/[3760] Speed: 98.224075 samples/sec accuracy=34.867898 loss=2.938821 lr=0.085771 Epoch[073] Batch [3349]/[3760] Speed: 97.717596 samples/sec accuracy=34.875000 loss=2.938339 lr=0.085762 Epoch[073] Batch [3399]/[3760] Speed: 97.639804 samples/sec accuracy=34.884651 loss=2.937802 lr=0.085753 Epoch[073] Batch [3449]/[3760] Speed: 96.690600 samples/sec accuracy=34.874547 loss=2.937666 lr=0.085744 Epoch[073] Batch [3499]/[3760] Speed: 96.928010 samples/sec accuracy=34.884821 loss=2.937565 lr=0.085735 Epoch[073] Batch [3549]/[3760] Speed: 98.288587 samples/sec accuracy=34.893926 loss=2.937270 lr=0.085726 Epoch[073] Batch [3599]/[3760] Speed: 97.646368 samples/sec accuracy=34.891493 loss=2.938083 lr=0.085717 Epoch[073] Batch [3649]/[3760] Speed: 96.366596 samples/sec accuracy=34.892123 loss=2.937873 lr=0.085708 Epoch[073] Batch [3699]/[3760] Speed: 97.900196 samples/sec accuracy=34.896959 loss=2.937707 lr=0.085699 Epoch[073] Batch [3749]/[3760] Speed: 109.610023 samples/sec accuracy=34.897500 loss=2.937614 lr=0.085690 Batch [0049]/[0303]: acc-top1=34.781250 acc-top5=60.281250 Batch [0099]/[0303]: acc-top1=33.015625 acc-top5=58.812500 Batch [0149]/[0303]: acc-top1=34.489583 acc-top5=60.364583 Batch [0199]/[0303]: acc-top1=37.109375 acc-top5=62.750000 Batch [0249]/[0303]: acc-top1=36.668750 acc-top5=62.718750 Batch [0299]/[0303]: acc-top1=35.947917 acc-top5=62.671875 [Epoch 073] training: accuracy=34.895279 loss=2.937721 [Epoch 073] speed: 96 samples/sec time cost: 2690.608378 [Epoch 073] validation: acc-top1=35.978754 acc-top5=62.747525 loss=3.031379 Epoch[074] Batch [0049]/[3760] Speed: 67.030090 samples/sec accuracy=35.031250 loss=2.932257 lr=0.085679 Epoch[074] Batch [0099]/[3760] Speed: 93.145454 samples/sec accuracy=34.890625 loss=2.930561 lr=0.085670 Epoch[074] Batch [0149]/[3760] Speed: 98.278855 samples/sec accuracy=34.718750 loss=2.941832 lr=0.085661 Epoch[074] Batch [0199]/[3760] Speed: 95.109103 samples/sec accuracy=34.554688 loss=2.942466 lr=0.085652 Epoch[074] Batch [0249]/[3760] Speed: 97.914802 samples/sec accuracy=34.725000 loss=2.941427 lr=0.085643 Epoch[074] Batch [0299]/[3760] Speed: 95.706456 samples/sec accuracy=34.953125 loss=2.926049 lr=0.085634 Epoch[074] Batch [0349]/[3760] Speed: 97.599077 samples/sec accuracy=35.093750 loss=2.920667 lr=0.085624 Epoch[074] Batch [0399]/[3760] Speed: 94.716484 samples/sec accuracy=34.941406 loss=2.922833 lr=0.085615 Epoch[074] Batch [0449]/[3760] Speed: 98.362670 samples/sec accuracy=34.951389 loss=2.919965 lr=0.085606 Epoch[074] Batch [0499]/[3760] Speed: 97.320263 samples/sec accuracy=34.943750 loss=2.918505 lr=0.085597 Epoch[074] Batch [0549]/[3760] Speed: 96.485597 samples/sec accuracy=34.974432 loss=2.917009 lr=0.085588 Epoch[074] Batch [0599]/[3760] Speed: 97.104434 samples/sec accuracy=35.018229 loss=2.913531 lr=0.085579 Epoch[074] Batch [0649]/[3760] Speed: 96.768508 samples/sec accuracy=35.170673 loss=2.909102 lr=0.085570 Epoch[074] Batch [0699]/[3760] Speed: 97.216928 samples/sec accuracy=35.122768 loss=2.912335 lr=0.085561 Epoch[074] Batch [0749]/[3760] Speed: 98.005377 samples/sec accuracy=35.029167 loss=2.914299 lr=0.085552 Epoch[074] Batch [0799]/[3760] Speed: 97.153260 samples/sec accuracy=35.027344 loss=2.914889 lr=0.085543 Epoch[074] Batch [0849]/[3760] Speed: 96.902851 samples/sec accuracy=35.031250 loss=2.914604 lr=0.085534 Epoch[074] Batch [0899]/[3760] Speed: 97.787257 samples/sec accuracy=35.041667 loss=2.911411 lr=0.085525 Epoch[074] Batch [0949]/[3760] Speed: 97.704196 samples/sec accuracy=35.050987 loss=2.913224 lr=0.085516 Epoch[074] Batch [0999]/[3760] Speed: 95.035089 samples/sec accuracy=35.048437 loss=2.912310 lr=0.085507 Epoch[074] Batch [1049]/[3760] Speed: 98.660814 samples/sec accuracy=35.077381 loss=2.914094 lr=0.085498 Epoch[074] Batch [1099]/[3760] Speed: 96.895811 samples/sec accuracy=35.086648 loss=2.913120 lr=0.085488 Epoch[074] Batch [1149]/[3760] Speed: 96.816177 samples/sec accuracy=35.065217 loss=2.914280 lr=0.085479 Epoch[074] Batch [1199]/[3760] Speed: 98.534270 samples/sec accuracy=35.000000 loss=2.915761 lr=0.085470 Epoch[074] Batch [1249]/[3760] Speed: 97.539779 samples/sec accuracy=34.981250 loss=2.915040 lr=0.085461 Epoch[074] Batch [1299]/[3760] Speed: 97.442034 samples/sec accuracy=34.929087 loss=2.916425 lr=0.085452 Epoch[074] Batch [1349]/[3760] Speed: 97.112674 samples/sec accuracy=34.886574 loss=2.917853 lr=0.085443 Epoch[074] Batch [1399]/[3760] Speed: 98.033923 samples/sec accuracy=34.916295 loss=2.917172 lr=0.085434 Epoch[074] Batch [1449]/[3760] Speed: 97.214252 samples/sec accuracy=34.856681 loss=2.919012 lr=0.085425 Epoch[074] Batch [1499]/[3760] Speed: 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lr=0.085160 Epoch[074] Batch [2949]/[3760] Speed: 96.595910 samples/sec accuracy=34.711335 loss=2.932646 lr=0.085151 Epoch[074] Batch [2999]/[3760] Speed: 97.982303 samples/sec accuracy=34.725000 loss=2.932429 lr=0.085142 Epoch[074] Batch [3049]/[3760] Speed: 96.319083 samples/sec accuracy=34.713115 loss=2.933370 lr=0.085132 Epoch[074] Batch [3099]/[3760] Speed: 98.017472 samples/sec accuracy=34.683468 loss=2.933981 lr=0.085123 Epoch[074] Batch [3149]/[3760] Speed: 97.312986 samples/sec accuracy=34.721726 loss=2.932369 lr=0.085114 Epoch[074] Batch [3199]/[3760] Speed: 96.319328 samples/sec accuracy=34.719238 loss=2.932123 lr=0.085105 Epoch[074] Batch [3249]/[3760] Speed: 97.855559 samples/sec accuracy=34.737500 loss=2.931876 lr=0.085096 Epoch[074] Batch [3299]/[3760] Speed: 96.415027 samples/sec accuracy=34.741004 loss=2.932197 lr=0.085086 Epoch[074] Batch [3349]/[3760] Speed: 97.740840 samples/sec accuracy=34.722948 loss=2.933040 lr=0.085077 Epoch[074] Batch [3399]/[3760] Speed: 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acc-top1=37.273438 acc-top5=63.335937 Batch [0249]/[0303]: acc-top1=36.418750 acc-top5=63.062500 Batch [0299]/[0303]: acc-top1=35.958333 acc-top5=63.098958 [Epoch 074] training: accuracy=34.775598 loss=2.933250 [Epoch 074] speed: 96 samples/sec time cost: 2682.075781 [Epoch 074] validation: acc-top1=35.880776 acc-top5=63.020833 loss=3.005435 Epoch[075] Batch [0049]/[3759] Speed: 68.104827 samples/sec accuracy=35.187500 loss=2.866218 lr=0.084993 Epoch[075] Batch [0099]/[3759] Speed: 93.653962 samples/sec accuracy=35.968750 loss=2.859332 lr=0.084983 Epoch[075] Batch [0149]/[3759] Speed: 97.905992 samples/sec accuracy=36.187500 loss=2.874090 lr=0.084974 Epoch[075] Batch [0199]/[3759] Speed: 94.567059 samples/sec accuracy=35.968750 loss=2.872928 lr=0.084965 Epoch[075] Batch [0249]/[3759] Speed: 98.107461 samples/sec accuracy=35.693750 loss=2.893199 lr=0.084956 Epoch[075] Batch [0299]/[3759] Speed: 96.658670 samples/sec accuracy=35.380208 loss=2.901778 lr=0.084946 Epoch[075] Batch 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accuracy=35.214844 loss=2.905496 lr=0.084854 Epoch[075] Batch [0849]/[3759] Speed: 97.948078 samples/sec accuracy=35.270221 loss=2.901733 lr=0.084845 Epoch[075] Batch [0899]/[3759] Speed: 97.662338 samples/sec accuracy=35.295139 loss=2.900702 lr=0.084836 Epoch[075] Batch [0949]/[3759] Speed: 97.708007 samples/sec accuracy=35.231908 loss=2.904225 lr=0.084826 Epoch[075] Batch [0999]/[3759] Speed: 96.623264 samples/sec accuracy=35.168750 loss=2.907187 lr=0.084817 Epoch[075] Batch [1049]/[3759] Speed: 97.111231 samples/sec accuracy=35.141369 loss=2.910503 lr=0.084808 Epoch[075] Batch [1099]/[3759] Speed: 98.265640 samples/sec accuracy=35.144886 loss=2.910473 lr=0.084799 Epoch[075] Batch [1149]/[3759] Speed: 96.969820 samples/sec accuracy=35.205163 loss=2.910003 lr=0.084789 Epoch[075] Batch [1199]/[3759] Speed: 97.847460 samples/sec accuracy=35.179688 loss=2.909782 lr=0.084780 Epoch[075] Batch [1249]/[3759] Speed: 97.959707 samples/sec accuracy=35.136250 loss=2.912065 lr=0.084771 Epoch[075] 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accuracy=35.194643 loss=2.913917 lr=0.084678 Epoch[075] Batch [1799]/[3759] Speed: 97.228466 samples/sec accuracy=35.217882 loss=2.913735 lr=0.084669 Epoch[075] Batch [1849]/[3759] Speed: 98.239528 samples/sec accuracy=35.231419 loss=2.914560 lr=0.084659 Epoch[075] Batch [1899]/[3759] Speed: 96.736859 samples/sec accuracy=35.245066 loss=2.913586 lr=0.084650 Epoch[075] Batch [1949]/[3759] Speed: 97.553543 samples/sec accuracy=35.202724 loss=2.914390 lr=0.084641 Epoch[075] Batch [1999]/[3759] Speed: 98.077746 samples/sec accuracy=35.217188 loss=2.913049 lr=0.084632 Epoch[075] Batch [2049]/[3759] Speed: 97.181992 samples/sec accuracy=35.213415 loss=2.914037 lr=0.084622 Epoch[075] Batch [2099]/[3759] Speed: 97.193023 samples/sec accuracy=35.196429 loss=2.915997 lr=0.084613 Epoch[075] Batch [2149]/[3759] Speed: 98.112685 samples/sec accuracy=35.209302 loss=2.915086 lr=0.084604 Epoch[075] Batch [2199]/[3759] Speed: 97.275728 samples/sec accuracy=35.208097 loss=2.914856 lr=0.084594 Epoch[075] 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accuracy=35.156250 loss=2.916743 lr=0.084501 Epoch[075] Batch [2749]/[3759] Speed: 96.940372 samples/sec accuracy=35.140341 loss=2.917806 lr=0.084492 Epoch[075] Batch [2799]/[3759] Speed: 97.836758 samples/sec accuracy=35.152344 loss=2.917600 lr=0.084482 Epoch[075] Batch [2849]/[3759] Speed: 96.684569 samples/sec accuracy=35.151316 loss=2.918310 lr=0.084473 Epoch[075] Batch [2899]/[3759] Speed: 98.139327 samples/sec accuracy=35.134159 loss=2.918833 lr=0.084464 Epoch[075] Batch [2949]/[3759] Speed: 98.054037 samples/sec accuracy=35.118644 loss=2.920320 lr=0.084454 Epoch[075] Batch [2999]/[3759] Speed: 95.141540 samples/sec accuracy=35.097917 loss=2.920522 lr=0.084445 Epoch[075] Batch [3049]/[3759] Speed: 98.819615 samples/sec accuracy=35.097336 loss=2.920589 lr=0.084436 Epoch[075] Batch [3099]/[3759] Speed: 96.651358 samples/sec accuracy=35.092238 loss=2.920743 lr=0.084426 Epoch[075] Batch [3149]/[3759] Speed: 98.086177 samples/sec accuracy=35.078373 loss=2.921482 lr=0.084417 Epoch[075] Batch [3199]/[3759] Speed: 96.736740 samples/sec accuracy=35.062500 loss=2.921454 lr=0.084408 Epoch[075] Batch [3249]/[3759] Speed: 97.875964 samples/sec accuracy=35.080288 loss=2.921116 lr=0.084398 Epoch[075] Batch [3299]/[3759] Speed: 97.134911 samples/sec accuracy=35.086648 loss=2.920826 lr=0.084389 Epoch[075] Batch [3349]/[3759] Speed: 97.413279 samples/sec accuracy=35.082556 loss=2.921327 lr=0.084380 Epoch[075] Batch [3399]/[3759] Speed: 97.365125 samples/sec accuracy=35.085938 loss=2.921525 lr=0.084370 Epoch[075] Batch [3449]/[3759] Speed: 96.504497 samples/sec accuracy=35.094656 loss=2.921618 lr=0.084361 Epoch[075] Batch [3499]/[3759] Speed: 98.789928 samples/sec accuracy=35.097321 loss=2.920991 lr=0.084351 Epoch[075] Batch [3549]/[3759] Speed: 96.422576 samples/sec accuracy=35.084947 loss=2.921736 lr=0.084342 Epoch[075] Batch [3599]/[3759] Speed: 97.200107 samples/sec accuracy=35.071181 loss=2.922746 lr=0.084333 Epoch[075] Batch [3649]/[3759] Speed: 96.547761 samples/sec accuracy=35.051798 loss=2.923375 lr=0.084323 Epoch[075] Batch [3699]/[3759] Speed: 97.537621 samples/sec accuracy=35.046875 loss=2.924022 lr=0.084314 Epoch[075] Batch [3749]/[3759] Speed: 109.726266 samples/sec accuracy=35.021250 loss=2.924994 lr=0.084305 Batch [0049]/[0303]: acc-top1=35.000000 acc-top5=62.250000 Batch [0099]/[0303]: acc-top1=33.531250 acc-top5=60.421875 Batch [0149]/[0303]: acc-top1=35.135417 acc-top5=61.562500 Batch [0199]/[0303]: acc-top1=37.539062 acc-top5=63.593750 Batch [0249]/[0303]: acc-top1=36.637500 acc-top5=63.475000 Batch [0299]/[0303]: acc-top1=35.947917 acc-top5=63.213542 [Epoch 075] training: accuracy=35.022612 loss=2.924911 [Epoch 075] speed: 96 samples/sec time cost: 2679.392773 [Epoch 075] validation: acc-top1=35.922030 acc-top5=63.237417 loss=2.964718 Epoch[076] Batch [0049]/[3760] Speed: 66.602341 samples/sec accuracy=36.343750 loss=2.856406 lr=0.084293 Epoch[076] Batch [0099]/[3760] Speed: 94.446754 samples/sec accuracy=35.703125 loss=2.875961 lr=0.084284 Epoch[076] Batch [0149]/[3760] Speed: 98.574254 samples/sec accuracy=35.531250 loss=2.891777 lr=0.084275 Epoch[076] Batch [0199]/[3760] Speed: 96.230629 samples/sec accuracy=35.718750 loss=2.891915 lr=0.084265 Epoch[076] Batch [0249]/[3760] Speed: 98.191900 samples/sec accuracy=35.950000 loss=2.891904 lr=0.084256 Epoch[076] Batch [0299]/[3760] Speed: 97.180940 samples/sec accuracy=36.197917 loss=2.872232 lr=0.084246 Epoch[076] Batch [0349]/[3760] Speed: 97.690279 samples/sec accuracy=36.254464 loss=2.864811 lr=0.084237 Epoch[076] Batch [0399]/[3760] Speed: 96.763050 samples/sec accuracy=36.113281 loss=2.876579 lr=0.084228 Epoch[076] Batch [0449]/[3760] Speed: 97.209740 samples/sec accuracy=36.173611 loss=2.879180 lr=0.084218 Epoch[076] Batch [0499]/[3760] Speed: 98.392942 samples/sec accuracy=36.203125 loss=2.877084 lr=0.084209 Epoch[076] Batch [0549]/[3760] Speed: 97.924333 samples/sec accuracy=36.153409 loss=2.878881 lr=0.084199 Epoch[076] Batch [0599]/[3760] Speed: 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lr=0.084105 Epoch[076] Batch [1099]/[3760] Speed: 96.890735 samples/sec accuracy=35.860795 loss=2.895917 lr=0.084096 Epoch[076] Batch [1149]/[3760] Speed: 96.763707 samples/sec accuracy=35.834239 loss=2.894517 lr=0.084086 Epoch[076] Batch [1199]/[3760] Speed: 98.527472 samples/sec accuracy=35.777344 loss=2.894397 lr=0.084077 Epoch[076] Batch [1249]/[3760] Speed: 97.988325 samples/sec accuracy=35.755000 loss=2.894675 lr=0.084068 Epoch[076] Batch [1299]/[3760] Speed: 97.243466 samples/sec accuracy=35.705529 loss=2.897033 lr=0.084058 Epoch[076] Batch [1349]/[3760] Speed: 96.960257 samples/sec accuracy=35.621528 loss=2.899898 lr=0.084049 Epoch[076] Batch [1399]/[3760] Speed: 97.490538 samples/sec accuracy=35.604911 loss=2.900391 lr=0.084039 Epoch[076] Batch [1449]/[3760] Speed: 97.660787 samples/sec accuracy=35.599138 loss=2.901629 lr=0.084030 Epoch[076] Batch [1499]/[3760] Speed: 98.464645 samples/sec accuracy=35.615625 loss=2.900644 lr=0.084020 Epoch[076] Batch [1549]/[3760] Speed: 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[0299]/[0303]: acc-top1=37.651042 acc-top5=64.411458 [Epoch 076] training: accuracy=35.287982 loss=2.913865 [Epoch 076] speed: 97 samples/sec time cost: 2672.930786 [Epoch 076] validation: acc-top1=37.567038 acc-top5=64.361592 loss=2.880481 Epoch[077] Batch [0049]/[3760] Speed: 66.976775 samples/sec accuracy=35.875000 loss=2.884274 lr=0.083581 Epoch[077] Batch [0099]/[3760] Speed: 93.802594 samples/sec accuracy=35.921875 loss=2.874881 lr=0.083572 Epoch[077] Batch [0149]/[3760] Speed: 97.673119 samples/sec accuracy=35.406250 loss=2.883377 lr=0.083562 Epoch[077] Batch [0199]/[3760] Speed: 94.206016 samples/sec accuracy=35.273438 loss=2.889543 lr=0.083553 Epoch[077] Batch [0249]/[3760] Speed: 99.009632 samples/sec accuracy=35.268750 loss=2.892010 lr=0.083543 Epoch[077] Batch [0299]/[3760] Speed: 96.193844 samples/sec accuracy=35.166667 loss=2.898710 lr=0.083533 Epoch[077] Batch [0349]/[3760] Speed: 96.422659 samples/sec accuracy=35.160714 loss=2.897837 lr=0.083524 Epoch[077] Batch 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accuracy=35.340074 loss=2.903019 lr=0.083428 Epoch[077] Batch [0899]/[3760] Speed: 98.025798 samples/sec accuracy=35.303819 loss=2.905920 lr=0.083418 Epoch[077] Batch [0949]/[3760] Speed: 97.029676 samples/sec accuracy=35.376645 loss=2.904966 lr=0.083409 Epoch[077] Batch [0999]/[3760] Speed: 96.449738 samples/sec accuracy=35.423437 loss=2.904538 lr=0.083399 Epoch[077] Batch [1049]/[3760] Speed: 96.478145 samples/sec accuracy=35.398810 loss=2.906427 lr=0.083390 Epoch[077] Batch [1099]/[3760] Speed: 97.451321 samples/sec accuracy=35.380682 loss=2.906493 lr=0.083380 Epoch[077] Batch [1149]/[3760] Speed: 97.277645 samples/sec accuracy=35.375000 loss=2.905218 lr=0.083370 Epoch[077] Batch [1199]/[3760] Speed: 97.633960 samples/sec accuracy=35.433594 loss=2.905469 lr=0.083361 Epoch[077] Batch [1249]/[3760] Speed: 97.525610 samples/sec accuracy=35.465000 loss=2.905033 lr=0.083351 Epoch[077] Batch [1299]/[3760] Speed: 96.915353 samples/sec accuracy=35.388221 loss=2.907658 lr=0.083342 Epoch[077] Batch [1349]/[3760] Speed: 97.252165 samples/sec accuracy=35.376157 loss=2.907222 lr=0.083332 Epoch[077] Batch [1399]/[3760] Speed: 97.583767 samples/sec accuracy=35.312500 loss=2.909522 lr=0.083322 Epoch[077] Batch [1449]/[3760] Speed: 96.705040 samples/sec accuracy=35.317888 loss=2.908717 lr=0.083313 Epoch[077] Batch [1499]/[3760] Speed: 97.661619 samples/sec accuracy=35.339583 loss=2.908390 lr=0.083303 Epoch[077] Batch [1549]/[3760] Speed: 97.580567 samples/sec accuracy=35.345766 loss=2.909394 lr=0.083294 Epoch[077] Batch [1599]/[3760] Speed: 95.476389 samples/sec accuracy=35.375977 loss=2.907686 lr=0.083284 Epoch[077] Batch [1649]/[3760] Speed: 98.513931 samples/sec accuracy=35.381629 loss=2.908586 lr=0.083274 Epoch[077] Batch [1699]/[3760] Speed: 97.178376 samples/sec accuracy=35.375000 loss=2.908164 lr=0.083265 Epoch[077] Batch [1749]/[3760] Speed: 95.582319 samples/sec accuracy=35.377679 loss=2.907247 lr=0.083255 Epoch[077] Batch [1799]/[3760] Speed: 98.063196 samples/sec accuracy=35.440972 loss=2.904917 lr=0.083245 Epoch[077] Batch [1849]/[3760] Speed: 97.425970 samples/sec accuracy=35.429899 loss=2.906220 lr=0.083236 Epoch[077] Batch [1899]/[3760] Speed: 97.190653 samples/sec accuracy=35.428454 loss=2.905671 lr=0.083226 Epoch[077] Batch [1949]/[3760] Speed: 97.118574 samples/sec accuracy=35.377404 loss=2.906294 lr=0.083217 Epoch[077] Batch [1999]/[3760] Speed: 97.929460 samples/sec accuracy=35.382812 loss=2.905305 lr=0.083207 Epoch[077] Batch [2049]/[3760] Speed: 98.834377 samples/sec accuracy=35.378811 loss=2.905714 lr=0.083197 Epoch[077] Batch [2099]/[3760] Speed: 97.224751 samples/sec accuracy=35.372024 loss=2.905701 lr=0.083188 Epoch[077] Batch [2149]/[3760] Speed: 98.177219 samples/sec accuracy=35.357558 loss=2.906339 lr=0.083178 Epoch[077] Batch [2199]/[3760] Speed: 98.623067 samples/sec accuracy=35.357955 loss=2.907063 lr=0.083168 Epoch[077] Batch [2249]/[3760] Speed: 96.079179 samples/sec accuracy=35.339583 loss=2.908464 lr=0.083159 Epoch[077] 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accuracy=35.305114 loss=2.908402 lr=0.083062 Epoch[077] Batch [2799]/[3760] Speed: 97.402993 samples/sec accuracy=35.284040 loss=2.909279 lr=0.083052 Epoch[077] Batch [2849]/[3760] Speed: 96.460006 samples/sec accuracy=35.285088 loss=2.909184 lr=0.083043 Epoch[077] Batch [2899]/[3760] Speed: 97.474303 samples/sec accuracy=35.273707 loss=2.909896 lr=0.083033 Epoch[077] Batch [2949]/[3760] Speed: 96.945255 samples/sec accuracy=35.259004 loss=2.910058 lr=0.083023 Epoch[077] Batch [2999]/[3760] Speed: 96.442438 samples/sec accuracy=35.273438 loss=2.909068 lr=0.083014 Epoch[077] Batch [3049]/[3760] Speed: 97.548510 samples/sec accuracy=35.258197 loss=2.909260 lr=0.083004 Epoch[077] Batch [3099]/[3760] Speed: 97.380210 samples/sec accuracy=35.262601 loss=2.909041 lr=0.082994 Epoch[077] Batch [3149]/[3760] Speed: 96.908158 samples/sec accuracy=35.269345 loss=2.909679 lr=0.082985 Epoch[077] Batch [3199]/[3760] Speed: 97.693885 samples/sec accuracy=35.278320 loss=2.909490 lr=0.082975 Epoch[077] Batch [3249]/[3760] Speed: 97.086336 samples/sec accuracy=35.277885 loss=2.909932 lr=0.082965 Epoch[077] Batch [3299]/[3760] Speed: 97.773116 samples/sec accuracy=35.269886 loss=2.910293 lr=0.082955 Epoch[077] Batch [3349]/[3760] Speed: 96.301939 samples/sec accuracy=35.245802 loss=2.911374 lr=0.082946 Epoch[077] Batch [3399]/[3760] Speed: 96.576550 samples/sec accuracy=35.249540 loss=2.911458 lr=0.082936 Epoch[077] Batch [3449]/[3760] Speed: 97.640269 samples/sec accuracy=35.261775 loss=2.910861 lr=0.082926 Epoch[077] Batch [3499]/[3760] Speed: 95.671557 samples/sec accuracy=35.253125 loss=2.911001 lr=0.082917 Epoch[077] Batch [3549]/[3760] Speed: 97.908393 samples/sec accuracy=35.243838 loss=2.910860 lr=0.082907 Epoch[077] Batch [3599]/[3760] Speed: 96.897498 samples/sec accuracy=35.237847 loss=2.910440 lr=0.082897 Epoch[077] Batch [3649]/[3760] Speed: 97.204338 samples/sec accuracy=35.241438 loss=2.910277 lr=0.082887 Epoch[077] Batch [3699]/[3760] Speed: 98.293657 samples/sec accuracy=35.233108 loss=2.910779 lr=0.082878 Epoch[077] Batch [3749]/[3760] Speed: 111.555472 samples/sec accuracy=35.237917 loss=2.910756 lr=0.082868 Batch [0049]/[0303]: acc-top1=34.593750 acc-top5=60.531250 Batch [0099]/[0303]: acc-top1=32.203125 acc-top5=58.656250 Batch [0149]/[0303]: acc-top1=33.927083 acc-top5=60.406250 Batch [0199]/[0303]: acc-top1=37.070312 acc-top5=62.570312 Batch [0249]/[0303]: acc-top1=36.906250 acc-top5=62.643750 Batch [0299]/[0303]: acc-top1=36.468750 acc-top5=62.885417 [Epoch 077] training: accuracy=35.240193 loss=2.910433 [Epoch 077] speed: 96 samples/sec time cost: 2684.080765 [Epoch 077] validation: acc-top1=36.484117 acc-top5=62.891914 loss=3.093419 Epoch[078] Batch [0049]/[3759] Speed: 66.987326 samples/sec accuracy=34.843750 loss=2.892595 lr=0.082856 Epoch[078] Batch [0099]/[3759] Speed: 93.802503 samples/sec accuracy=35.859375 loss=2.870243 lr=0.082847 Epoch[078] Batch [0149]/[3759] Speed: 97.800264 samples/sec accuracy=35.979167 loss=2.867545 lr=0.082837 Epoch[078] Batch [0199]/[3759] Speed: 94.958479 samples/sec accuracy=35.898438 loss=2.874491 lr=0.082827 Epoch[078] Batch [0249]/[3759] Speed: 98.470487 samples/sec accuracy=35.881250 loss=2.872808 lr=0.082817 Epoch[078] Batch [0299]/[3759] Speed: 96.286534 samples/sec accuracy=36.000000 loss=2.868545 lr=0.082808 Epoch[078] Batch [0349]/[3759] Speed: 96.965033 samples/sec accuracy=35.633929 loss=2.884028 lr=0.082798 Epoch[078] Batch [0399]/[3759] Speed: 97.094365 samples/sec accuracy=35.519531 loss=2.891138 lr=0.082788 Epoch[078] Batch [0449]/[3759] Speed: 97.942496 samples/sec accuracy=35.531250 loss=2.894234 lr=0.082779 Epoch[078] Batch [0499]/[3759] Speed: 96.616730 samples/sec accuracy=35.509375 loss=2.892750 lr=0.082769 Epoch[078] Batch [0549]/[3759] Speed: 97.413856 samples/sec accuracy=35.448864 loss=2.895228 lr=0.082759 Epoch[078] Batch [0599]/[3759] Speed: 97.774861 samples/sec accuracy=35.447917 loss=2.896970 lr=0.082749 Epoch[078] Batch [0649]/[3759] Speed: 95.409809 samples/sec accuracy=35.516827 loss=2.887864 lr=0.082740 Epoch[078] Batch [0699]/[3759] Speed: 98.589916 samples/sec accuracy=35.542411 loss=2.887712 lr=0.082730 Epoch[078] Batch [0749]/[3759] Speed: 97.059553 samples/sec accuracy=35.554167 loss=2.886945 lr=0.082720 Epoch[078] Batch [0799]/[3759] Speed: 98.635325 samples/sec accuracy=35.642578 loss=2.885273 lr=0.082710 Epoch[078] Batch [0849]/[3759] Speed: 95.763067 samples/sec accuracy=35.595588 loss=2.886054 lr=0.082701 Epoch[078] Batch [0899]/[3759] Speed: 97.719574 samples/sec accuracy=35.602431 loss=2.883310 lr=0.082691 Epoch[078] Batch [0949]/[3759] Speed: 97.215461 samples/sec accuracy=35.613487 loss=2.886279 lr=0.082681 Epoch[078] Batch [0999]/[3759] Speed: 97.122547 samples/sec accuracy=35.628125 loss=2.885293 lr=0.082671 Epoch[078] Batch [1049]/[3759] Speed: 97.067426 samples/sec accuracy=35.601190 loss=2.888231 lr=0.082662 Epoch[078] Batch [1099]/[3759] Speed: 96.774787 samples/sec accuracy=35.620739 loss=2.886748 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lr=0.082466 Epoch[078] Batch [2099]/[3759] Speed: 96.886865 samples/sec accuracy=35.456101 loss=2.900662 lr=0.082456 Epoch[078] Batch [2149]/[3759] Speed: 97.169607 samples/sec accuracy=35.444041 loss=2.900474 lr=0.082446 Epoch[078] Batch [2199]/[3759] Speed: 97.227920 samples/sec accuracy=35.453835 loss=2.900895 lr=0.082436 Epoch[078] Batch [2249]/[3759] Speed: 97.468042 samples/sec accuracy=35.462500 loss=2.900916 lr=0.082427 Epoch[078] Batch [2299]/[3759] Speed: 97.925115 samples/sec accuracy=35.485734 loss=2.900110 lr=0.082417 Epoch[078] Batch [2349]/[3759] Speed: 98.314407 samples/sec accuracy=35.469415 loss=2.901489 lr=0.082407 Epoch[078] Batch [2399]/[3759] Speed: 96.136218 samples/sec accuracy=35.442708 loss=2.902415 lr=0.082397 Epoch[078] Batch [2449]/[3759] Speed: 97.262119 samples/sec accuracy=35.461097 loss=2.901299 lr=0.082387 Epoch[078] Batch [2499]/[3759] Speed: 96.909774 samples/sec accuracy=35.465625 loss=2.901702 lr=0.082377 Epoch[078] Batch [2549]/[3759] Speed: 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lr=0.082279 Epoch[078] Batch [3049]/[3759] Speed: 96.942730 samples/sec accuracy=35.399078 loss=2.906936 lr=0.082269 Epoch[078] Batch [3099]/[3759] Speed: 96.631078 samples/sec accuracy=35.396673 loss=2.907567 lr=0.082259 Epoch[078] Batch [3149]/[3759] Speed: 97.712238 samples/sec accuracy=35.396825 loss=2.907423 lr=0.082249 Epoch[078] Batch [3199]/[3759] Speed: 97.587315 samples/sec accuracy=35.375488 loss=2.908422 lr=0.082240 Epoch[078] Batch [3249]/[3759] Speed: 97.073445 samples/sec accuracy=35.383173 loss=2.908016 lr=0.082230 Epoch[078] Batch [3299]/[3759] Speed: 97.247027 samples/sec accuracy=35.378314 loss=2.907974 lr=0.082220 Epoch[078] Batch [3349]/[3759] Speed: 95.916657 samples/sec accuracy=35.393657 loss=2.907882 lr=0.082210 Epoch[078] Batch [3399]/[3759] Speed: 97.774766 samples/sec accuracy=35.391085 loss=2.907977 lr=0.082200 Epoch[078] Batch [3449]/[3759] Speed: 96.858176 samples/sec accuracy=35.409873 loss=2.906876 lr=0.082190 Epoch[078] Batch [3499]/[3759] Speed: 96.151406 samples/sec accuracy=35.431696 loss=2.906453 lr=0.082180 Epoch[078] Batch [3549]/[3759] Speed: 97.326606 samples/sec accuracy=35.451585 loss=2.905546 lr=0.082171 Epoch[078] Batch [3599]/[3759] Speed: 96.834193 samples/sec accuracy=35.461372 loss=2.904710 lr=0.082161 Epoch[078] Batch [3649]/[3759] Speed: 97.692420 samples/sec accuracy=35.452483 loss=2.905295 lr=0.082151 Epoch[078] Batch [3699]/[3759] Speed: 96.494153 samples/sec accuracy=35.432010 loss=2.906115 lr=0.082141 Epoch[078] Batch [3749]/[3759] Speed: 112.575710 samples/sec accuracy=35.419167 loss=2.906828 lr=0.082131 Batch [0049]/[0303]: acc-top1=35.875000 acc-top5=63.812500 Batch [0099]/[0303]: acc-top1=33.093750 acc-top5=61.734375 Batch [0149]/[0303]: acc-top1=34.729167 acc-top5=62.062500 Batch [0199]/[0303]: acc-top1=37.523438 acc-top5=64.195312 Batch [0249]/[0303]: acc-top1=36.743750 acc-top5=63.675000 Batch [0299]/[0303]: acc-top1=36.395833 acc-top5=63.697917 [Epoch 078] training: accuracy=35.416251 loss=2.906769 [Epoch 078] speed: 96 samples/sec time cost: 2682.593688 [Epoch 078] validation: acc-top1=36.468647 acc-top5=63.722153 loss=2.993614 Epoch[079] Batch [0049]/[3760] Speed: 66.902773 samples/sec accuracy=35.187500 loss=2.884417 lr=0.082119 Epoch[079] Batch [0099]/[3760] Speed: 94.603655 samples/sec accuracy=34.984375 loss=2.903699 lr=0.082109 Epoch[079] Batch [0149]/[3760] Speed: 98.038765 samples/sec accuracy=35.333333 loss=2.890194 lr=0.082100 Epoch[079] Batch [0199]/[3760] Speed: 94.932104 samples/sec accuracy=35.585938 loss=2.883206 lr=0.082090 Epoch[079] Batch [0249]/[3760] Speed: 97.066152 samples/sec accuracy=36.150000 loss=2.864114 lr=0.082080 Epoch[079] Batch [0299]/[3760] Speed: 96.009136 samples/sec accuracy=36.317708 loss=2.864801 lr=0.082070 Epoch[079] Batch [0349]/[3760] Speed: 97.958320 samples/sec accuracy=36.276786 loss=2.869826 lr=0.082060 Epoch[079] Batch [0399]/[3760] Speed: 95.880182 samples/sec accuracy=36.023438 loss=2.876270 lr=0.082050 Epoch[079] 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accuracy=35.710069 loss=2.883162 lr=0.081951 Epoch[079] Batch [0949]/[3760] Speed: 97.099374 samples/sec accuracy=35.621711 loss=2.886372 lr=0.081941 Epoch[079] Batch [0999]/[3760] Speed: 97.791488 samples/sec accuracy=35.623438 loss=2.886149 lr=0.081931 Epoch[079] Batch [1049]/[3760] Speed: 97.018916 samples/sec accuracy=35.619048 loss=2.885293 lr=0.081921 Epoch[079] Batch [1099]/[3760] Speed: 97.223027 samples/sec accuracy=35.583807 loss=2.887280 lr=0.081911 Epoch[079] Batch [1149]/[3760] Speed: 98.017074 samples/sec accuracy=35.610054 loss=2.885524 lr=0.081901 Epoch[079] Batch [1199]/[3760] Speed: 96.957227 samples/sec accuracy=35.608073 loss=2.884732 lr=0.081891 Epoch[079] Batch [1249]/[3760] Speed: 97.890723 samples/sec accuracy=35.605000 loss=2.886390 lr=0.081882 Epoch[079] Batch [1299]/[3760] Speed: 97.557622 samples/sec accuracy=35.657452 loss=2.885213 lr=0.081872 Epoch[079] Batch [1349]/[3760] Speed: 97.038178 samples/sec accuracy=35.659722 loss=2.886358 lr=0.081862 Epoch[079] Batch [1399]/[3760] Speed: 96.830406 samples/sec accuracy=35.645089 loss=2.887255 lr=0.081852 Epoch[079] Batch [1449]/[3760] Speed: 97.689745 samples/sec accuracy=35.625000 loss=2.888422 lr=0.081842 Epoch[079] Batch [1499]/[3760] Speed: 96.049985 samples/sec accuracy=35.622917 loss=2.889292 lr=0.081832 Epoch[079] Batch [1549]/[3760] Speed: 98.638801 samples/sec accuracy=35.597782 loss=2.890339 lr=0.081822 Epoch[079] Batch [1599]/[3760] Speed: 97.515725 samples/sec accuracy=35.625977 loss=2.890680 lr=0.081812 Epoch[079] Batch [1649]/[3760] Speed: 95.351388 samples/sec accuracy=35.637311 loss=2.889867 lr=0.081802 Epoch[079] Batch [1699]/[3760] Speed: 98.559247 samples/sec accuracy=35.612132 loss=2.891362 lr=0.081792 Epoch[079] Batch [1749]/[3760] Speed: 98.099917 samples/sec accuracy=35.604464 loss=2.891138 lr=0.081782 Epoch[079] Batch [1799]/[3760] Speed: 97.691045 samples/sec accuracy=35.606771 loss=2.890299 lr=0.081772 Epoch[079] Batch [1849]/[3760] Speed: 95.933379 samples/sec accuracy=35.637669 loss=2.889818 lr=0.081762 Epoch[079] Batch [1899]/[3760] Speed: 97.487035 samples/sec accuracy=35.605263 loss=2.891344 lr=0.081752 Epoch[079] Batch [1949]/[3760] Speed: 98.287886 samples/sec accuracy=35.609776 loss=2.891585 lr=0.081742 Epoch[079] Batch [1999]/[3760] Speed: 97.080060 samples/sec accuracy=35.636719 loss=2.889614 lr=0.081732 Epoch[079] Batch [2049]/[3760] Speed: 98.025649 samples/sec accuracy=35.644817 loss=2.891023 lr=0.081722 Epoch[079] Batch [2099]/[3760] Speed: 97.933829 samples/sec accuracy=35.621280 loss=2.893557 lr=0.081712 Epoch[079] Batch [2149]/[3760] Speed: 97.557016 samples/sec accuracy=35.636628 loss=2.892748 lr=0.081702 Epoch[079] Batch [2199]/[3760] Speed: 96.356696 samples/sec accuracy=35.685369 loss=2.892390 lr=0.081692 Epoch[079] Batch [2249]/[3760] Speed: 98.934206 samples/sec accuracy=35.753472 loss=2.890479 lr=0.081682 Epoch[079] Batch [2299]/[3760] Speed: 96.445879 samples/sec accuracy=35.747283 loss=2.891263 lr=0.081672 Epoch[079] Batch [2349]/[3760] Speed: 98.261735 samples/sec accuracy=35.732713 loss=2.892430 lr=0.081662 Epoch[079] Batch [2399]/[3760] Speed: 97.160130 samples/sec accuracy=35.741536 loss=2.892690 lr=0.081652 Epoch[079] Batch [2449]/[3760] Speed: 95.799252 samples/sec accuracy=35.759566 loss=2.892326 lr=0.081642 Epoch[079] Batch [2499]/[3760] Speed: 98.736799 samples/sec accuracy=35.743750 loss=2.892870 lr=0.081632 Epoch[079] Batch [2549]/[3760] Speed: 97.298367 samples/sec accuracy=35.731005 loss=2.892555 lr=0.081622 Epoch[079] Batch [2599]/[3760] Speed: 98.545653 samples/sec accuracy=35.714543 loss=2.892841 lr=0.081612 Epoch[079] Batch [2649]/[3760] Speed: 96.553916 samples/sec accuracy=35.729363 loss=2.893541 lr=0.081603 Epoch[079] Batch [2699]/[3760] Speed: 98.277174 samples/sec accuracy=35.741319 loss=2.892656 lr=0.081593 Epoch[079] Batch [2749]/[3760] Speed: 97.421292 samples/sec accuracy=35.721591 loss=2.892231 lr=0.081583 Epoch[079] Batch [2799]/[3760] Speed: 96.614906 samples/sec accuracy=35.703125 loss=2.892831 lr=0.081573 Epoch[079] Batch [2849]/[3760] Speed: 96.749146 samples/sec accuracy=35.719298 loss=2.892666 lr=0.081563 Epoch[079] Batch [2899]/[3760] Speed: 98.061192 samples/sec accuracy=35.716056 loss=2.892658 lr=0.081553 Epoch[079] Batch [2949]/[3760] Speed: 96.939835 samples/sec accuracy=35.706568 loss=2.893957 lr=0.081542 Epoch[079] Batch [2999]/[3760] Speed: 98.382485 samples/sec accuracy=35.714583 loss=2.892951 lr=0.081532 Epoch[079] Batch [3049]/[3760] Speed: 97.536038 samples/sec accuracy=35.683402 loss=2.894204 lr=0.081522 Epoch[079] Batch [3099]/[3760] Speed: 97.330018 samples/sec accuracy=35.696573 loss=2.893504 lr=0.081512 Epoch[079] Batch [3149]/[3760] Speed: 97.863122 samples/sec accuracy=35.706845 loss=2.893877 lr=0.081502 Epoch[079] Batch [3199]/[3760] Speed: 98.018698 samples/sec accuracy=35.691406 loss=2.893985 lr=0.081492 Epoch[079] Batch [3249]/[3760] Speed: 95.307688 samples/sec accuracy=35.670673 loss=2.895357 lr=0.081482 Epoch[079] Batch [3299]/[3760] Speed: 98.906822 samples/sec accuracy=35.652936 loss=2.895687 lr=0.081472 Epoch[079] Batch [3349]/[3760] Speed: 98.174117 samples/sec accuracy=35.658116 loss=2.896139 lr=0.081462 Epoch[079] Batch [3399]/[3760] Speed: 97.910189 samples/sec accuracy=35.649816 loss=2.895885 lr=0.081452 Epoch[079] Batch [3449]/[3760] Speed: 97.528193 samples/sec accuracy=35.647645 loss=2.895890 lr=0.081442 Epoch[079] Batch [3499]/[3760] Speed: 98.104460 samples/sec accuracy=35.666964 loss=2.896252 lr=0.081432 Epoch[079] Batch [3549]/[3760] Speed: 97.115086 samples/sec accuracy=35.653609 loss=2.896702 lr=0.081422 Epoch[079] Batch [3599]/[3760] Speed: 97.457207 samples/sec accuracy=35.638021 loss=2.896869 lr=0.081412 Epoch[079] Batch [3649]/[3760] Speed: 97.830260 samples/sec accuracy=35.633562 loss=2.897216 lr=0.081402 Epoch[079] Batch [3699]/[3760] Speed: 97.521472 samples/sec accuracy=35.639358 loss=2.897420 lr=0.081392 Epoch[079] Batch [3749]/[3760] Speed: 108.941889 samples/sec accuracy=35.639167 loss=2.897661 lr=0.081382 Batch [0049]/[0303]: acc-top1=36.968750 acc-top5=63.406250 Batch [0099]/[0303]: acc-top1=34.296875 acc-top5=60.750000 Batch [0149]/[0303]: acc-top1=35.395833 acc-top5=61.395833 Batch [0199]/[0303]: acc-top1=38.195312 acc-top5=63.687500 Batch [0249]/[0303]: acc-top1=37.175000 acc-top5=63.275000 Batch [0299]/[0303]: acc-top1=36.119792 acc-top5=62.994792 [Epoch 079] training: accuracy=35.638713 loss=2.897796 [Epoch 079] speed: 96 samples/sec time cost: 2678.214813 [Epoch 079] validation: acc-top1=36.185025 acc-top5=63.046617 loss=3.054512 Epoch[080] Batch [0049]/[3760] Speed: 67.886881 samples/sec accuracy=37.187500 loss=2.819743 lr=0.081370 Epoch[080] Batch [0099]/[3760] Speed: 94.507872 samples/sec accuracy=37.328125 loss=2.803256 lr=0.081360 Epoch[080] Batch [0149]/[3760] Speed: 97.912643 samples/sec accuracy=37.104167 loss=2.823720 lr=0.081350 Epoch[080] Batch [0199]/[3760] Speed: 96.150873 samples/sec accuracy=36.875000 loss=2.830484 lr=0.081340 Epoch[080] Batch [0249]/[3760] Speed: 97.846508 samples/sec accuracy=36.706250 loss=2.835704 lr=0.081330 Epoch[080] Batch [0299]/[3760] Speed: 96.818646 samples/sec accuracy=36.755208 loss=2.837761 lr=0.081320 Epoch[080] Batch [0349]/[3760] Speed: 98.212498 samples/sec accuracy=36.473214 loss=2.858657 lr=0.081310 Epoch[080] Batch [0399]/[3760] Speed: 97.418735 samples/sec accuracy=36.382812 loss=2.858672 lr=0.081300 Epoch[080] Batch [0449]/[3760] Speed: 96.705302 samples/sec accuracy=36.197917 loss=2.864231 lr=0.081290 Epoch[080] Batch [0499]/[3760] Speed: 97.031157 samples/sec accuracy=36.218750 loss=2.868553 lr=0.081280 Epoch[080] Batch [0549]/[3760] Speed: 97.365021 samples/sec accuracy=36.190341 loss=2.870745 lr=0.081270 Epoch[080] Batch [0599]/[3760] Speed: 97.003227 samples/sec accuracy=36.156250 loss=2.871446 lr=0.081259 Epoch[080] Batch [0649]/[3760] Speed: 95.773526 samples/sec accuracy=36.115385 loss=2.873745 lr=0.081249 Epoch[080] Batch [0699]/[3760] Speed: 97.944465 samples/sec accuracy=36.031250 loss=2.875854 lr=0.081239 Epoch[080] Batch [0749]/[3760] Speed: 95.931211 samples/sec accuracy=35.983333 loss=2.875869 lr=0.081229 Epoch[080] Batch [0799]/[3760] Speed: 97.639521 samples/sec accuracy=36.023438 loss=2.873383 lr=0.081219 Epoch[080] Batch [0849]/[3760] Speed: 97.419444 samples/sec accuracy=35.939338 loss=2.874072 lr=0.081209 Epoch[080] Batch [0899]/[3760] Speed: 97.449122 samples/sec accuracy=35.892361 loss=2.877138 lr=0.081199 Epoch[080] Batch [0949]/[3760] Speed: 96.202244 samples/sec accuracy=35.832237 loss=2.878180 lr=0.081189 Epoch[080] Batch [0999]/[3760] Speed: 97.547685 samples/sec accuracy=35.945312 loss=2.873677 lr=0.081179 Epoch[080] Batch [1049]/[3760] Speed: 97.319033 samples/sec accuracy=35.889881 loss=2.874018 lr=0.081169 Epoch[080] Batch [1099]/[3760] Speed: 97.553946 samples/sec accuracy=35.867898 loss=2.876371 lr=0.081159 Epoch[080] Batch [1149]/[3760] Speed: 97.200808 samples/sec accuracy=35.911685 loss=2.876427 lr=0.081149 Epoch[080] Batch [1199]/[3760] Speed: 97.659380 samples/sec accuracy=35.946615 loss=2.875985 lr=0.081139 Epoch[080] Batch [1249]/[3760] Speed: 96.361483 samples/sec accuracy=35.935000 loss=2.878325 lr=0.081128 Epoch[080] Batch [1299]/[3760] Speed: 97.541807 samples/sec accuracy=35.939904 loss=2.877398 lr=0.081118 Epoch[080] Batch [1349]/[3760] Speed: 96.985626 samples/sec accuracy=35.931713 loss=2.878196 lr=0.081108 Epoch[080] Batch [1399]/[3760] Speed: 97.082953 samples/sec accuracy=35.908482 loss=2.880474 lr=0.081098 Epoch[080] Batch [1449]/[3760] Speed: 97.134693 samples/sec accuracy=35.864224 loss=2.881443 lr=0.081088 Epoch[080] Batch [1499]/[3760] Speed: 97.716901 samples/sec accuracy=35.868750 loss=2.881053 lr=0.081078 Epoch[080] Batch [1549]/[3760] Speed: 97.201747 samples/sec accuracy=35.840726 loss=2.882150 lr=0.081068 Epoch[080] Batch [1599]/[3760] Speed: 96.353889 samples/sec accuracy=35.828125 loss=2.882942 lr=0.081058 Epoch[080] Batch [1649]/[3760] Speed: 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98.566329 samples/sec accuracy=35.809419 loss=2.889500 lr=0.080662 Epoch[080] Batch [3599]/[3760] Speed: 96.611570 samples/sec accuracy=35.816840 loss=2.889843 lr=0.080652 Epoch[080] Batch [3649]/[3760] Speed: 97.273744 samples/sec accuracy=35.803510 loss=2.890078 lr=0.080642 Epoch[080] Batch [3699]/[3760] Speed: 97.408118 samples/sec accuracy=35.788429 loss=2.890849 lr=0.080631 Epoch[080] Batch [3749]/[3760] Speed: 109.682055 samples/sec accuracy=35.762083 loss=2.891560 lr=0.080621 Batch [0049]/[0303]: acc-top1=35.937500 acc-top5=61.625000 Batch [0099]/[0303]: acc-top1=32.234375 acc-top5=58.515625 Batch [0149]/[0303]: acc-top1=32.812500 acc-top5=59.437500 Batch [0199]/[0303]: acc-top1=35.406250 acc-top5=61.500000 Batch [0249]/[0303]: acc-top1=35.068750 acc-top5=61.256250 Batch [0299]/[0303]: acc-top1=34.828125 acc-top5=61.416667 [Epoch 080] training: accuracy=35.762965 loss=2.891357 [Epoch 080] speed: 96 samples/sec time cost: 2683.692482 [Epoch 080] validation: acc-top1=34.803012 acc-top5=61.365512 loss=3.178637 Epoch[081] Batch [0049]/[3759] Speed: 67.840728 samples/sec accuracy=36.531250 loss=2.862437 lr=0.080609 Epoch[081] Batch [0099]/[3759] Speed: 93.208907 samples/sec accuracy=36.312500 loss=2.879166 lr=0.080599 Epoch[081] Batch [0149]/[3759] Speed: 97.269860 samples/sec accuracy=35.947917 loss=2.879247 lr=0.080589 Epoch[081] Batch [0199]/[3759] Speed: 95.533898 samples/sec accuracy=36.078125 loss=2.862674 lr=0.080578 Epoch[081] Batch [0249]/[3759] Speed: 96.860501 samples/sec accuracy=36.206250 loss=2.858540 lr=0.080568 Epoch[081] Batch [0299]/[3759] Speed: 96.233836 samples/sec accuracy=36.458333 loss=2.851613 lr=0.080558 Epoch[081] Batch [0349]/[3759] Speed: 97.717583 samples/sec accuracy=36.160714 loss=2.860066 lr=0.080548 Epoch[081] Batch [0399]/[3759] Speed: 96.996850 samples/sec accuracy=35.960938 loss=2.872607 lr=0.080538 Epoch[081] Batch [0449]/[3759] Speed: 97.144285 samples/sec accuracy=35.871528 loss=2.871213 lr=0.080527 Epoch[081] Batch 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accuracy=35.837171 loss=2.873704 lr=0.080425 Epoch[081] Batch [0999]/[3759] Speed: 97.209719 samples/sec accuracy=35.810938 loss=2.875569 lr=0.080415 Epoch[081] Batch [1049]/[3759] Speed: 96.397280 samples/sec accuracy=35.773810 loss=2.877885 lr=0.080405 Epoch[081] Batch [1099]/[3759] Speed: 95.744035 samples/sec accuracy=35.840909 loss=2.875765 lr=0.080394 Epoch[081] Batch [1149]/[3759] Speed: 98.176519 samples/sec accuracy=35.836957 loss=2.876141 lr=0.080384 Epoch[081] Batch [1199]/[3759] Speed: 96.614579 samples/sec accuracy=35.808594 loss=2.878171 lr=0.080374 Epoch[081] Batch [1249]/[3759] Speed: 98.065028 samples/sec accuracy=35.843750 loss=2.877437 lr=0.080364 Epoch[081] Batch [1299]/[3759] Speed: 97.879762 samples/sec accuracy=35.824519 loss=2.877034 lr=0.080353 Epoch[081] Batch [1349]/[3759] Speed: 97.042484 samples/sec accuracy=35.800926 loss=2.877430 lr=0.080343 Epoch[081] Batch [1399]/[3759] Speed: 97.826198 samples/sec accuracy=35.818080 loss=2.875866 lr=0.080333 Epoch[081] 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accuracy=35.861842 loss=2.875494 lr=0.080230 Epoch[081] Batch [1949]/[3759] Speed: 98.046248 samples/sec accuracy=35.832532 loss=2.874766 lr=0.080220 Epoch[081] Batch [1999]/[3759] Speed: 97.226354 samples/sec accuracy=35.821875 loss=2.875044 lr=0.080210 Epoch[081] Batch [2049]/[3759] Speed: 96.874548 samples/sec accuracy=35.804878 loss=2.875971 lr=0.080199 Epoch[081] Batch [2099]/[3759] Speed: 98.566591 samples/sec accuracy=35.829613 loss=2.876111 lr=0.080189 Epoch[081] Batch [2149]/[3759] Speed: 97.481127 samples/sec accuracy=35.849564 loss=2.875029 lr=0.080179 Epoch[081] Batch [2199]/[3759] Speed: 98.112277 samples/sec accuracy=35.817472 loss=2.876855 lr=0.080169 Epoch[081] Batch [2249]/[3759] Speed: 97.339177 samples/sec accuracy=35.803472 loss=2.878110 lr=0.080158 Epoch[081] Batch [2299]/[3759] Speed: 98.565262 samples/sec accuracy=35.779891 loss=2.878526 lr=0.080148 Epoch[081] Batch [2349]/[3759] Speed: 95.514268 samples/sec accuracy=35.777926 loss=2.879287 lr=0.080138 Epoch[081] 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accuracy=35.775768 loss=2.879876 lr=0.080035 Epoch[081] Batch [2899]/[3759] Speed: 98.161866 samples/sec accuracy=35.761853 loss=2.880397 lr=0.080024 Epoch[081] Batch [2949]/[3759] Speed: 96.593810 samples/sec accuracy=35.786017 loss=2.879926 lr=0.080014 Epoch[081] Batch [2999]/[3759] Speed: 97.892563 samples/sec accuracy=35.783854 loss=2.880132 lr=0.080004 Epoch[081] Batch [3049]/[3759] Speed: 96.368208 samples/sec accuracy=35.790984 loss=2.880220 lr=0.079993 Epoch[081] Batch [3099]/[3759] Speed: 97.692460 samples/sec accuracy=35.783770 loss=2.880410 lr=0.079983 Epoch[081] Batch [3149]/[3759] Speed: 97.615224 samples/sec accuracy=35.789683 loss=2.880163 lr=0.079973 Epoch[081] Batch [3199]/[3759] Speed: 96.147737 samples/sec accuracy=35.797852 loss=2.880607 lr=0.079962 Epoch[081] Batch [3249]/[3759] Speed: 97.028663 samples/sec accuracy=35.800481 loss=2.880622 lr=0.079952 Epoch[081] Batch [3299]/[3759] Speed: 98.221860 samples/sec accuracy=35.792614 loss=2.881378 lr=0.079942 Epoch[081] Batch [3349]/[3759] Speed: 96.845843 samples/sec accuracy=35.784981 loss=2.882444 lr=0.079931 Epoch[081] Batch [3399]/[3759] Speed: 97.465389 samples/sec accuracy=35.775276 loss=2.882178 lr=0.079921 Epoch[081] Batch [3449]/[3759] Speed: 97.085266 samples/sec accuracy=35.791214 loss=2.881771 lr=0.079911 Epoch[081] Batch [3499]/[3759] Speed: 95.800880 samples/sec accuracy=35.785268 loss=2.882275 lr=0.079900 Epoch[081] Batch [3549]/[3759] Speed: 98.439363 samples/sec accuracy=35.765845 loss=2.883442 lr=0.079890 Epoch[081] Batch [3599]/[3759] Speed: 97.386519 samples/sec accuracy=35.779948 loss=2.883198 lr=0.079880 Epoch[081] Batch [3649]/[3759] Speed: 96.997043 samples/sec accuracy=35.792808 loss=2.882620 lr=0.079869 Epoch[081] Batch [3699]/[3759] Speed: 96.725797 samples/sec accuracy=35.786318 loss=2.883446 lr=0.079859 Epoch[081] Batch [3749]/[3759] Speed: 111.250338 samples/sec accuracy=35.771250 loss=2.884336 lr=0.079849 Batch [0049]/[0303]: acc-top1=36.000000 acc-top5=59.656250 Batch [0099]/[0303]: acc-top1=33.562500 acc-top5=58.765625 Batch [0149]/[0303]: acc-top1=34.791667 acc-top5=60.145833 Batch [0199]/[0303]: acc-top1=37.164062 acc-top5=62.257812 Batch [0249]/[0303]: acc-top1=35.843750 acc-top5=61.656250 Batch [0299]/[0303]: acc-top1=35.270833 acc-top5=61.505208 [Epoch 081] training: accuracy=35.768323 loss=2.884373 [Epoch 081] speed: 96 samples/sec time cost: 2680.431402 [Epoch 081] validation: acc-top1=35.282591 acc-top5=61.520215 loss=3.127203 Epoch[082] Batch [0049]/[3760] Speed: 67.297713 samples/sec accuracy=36.656250 loss=2.813553 lr=0.079837 Epoch[082] Batch [0099]/[3760] Speed: 93.306258 samples/sec accuracy=37.250000 loss=2.828616 lr=0.079826 Epoch[082] Batch [0149]/[3760] Speed: 98.227619 samples/sec accuracy=36.531250 loss=2.847131 lr=0.079816 Epoch[082] Batch [0199]/[3760] Speed: 95.736034 samples/sec accuracy=36.234375 loss=2.864279 lr=0.079805 Epoch[082] Batch [0249]/[3760] Speed: 97.376023 samples/sec accuracy=36.162500 loss=2.866115 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accuracy=35.812500 loss=2.868020 lr=0.079053 Epoch[083] Batch [0099]/[3760] Speed: 93.157424 samples/sec accuracy=36.031250 loss=2.875220 lr=0.079042 Epoch[083] Batch [0149]/[3760] Speed: 97.987430 samples/sec accuracy=36.125000 loss=2.867094 lr=0.079032 Epoch[083] Batch [0199]/[3760] Speed: 95.730297 samples/sec accuracy=36.398438 loss=2.852007 lr=0.079021 Epoch[083] Batch [0249]/[3760] Speed: 96.488597 samples/sec accuracy=36.531250 loss=2.847535 lr=0.079011 Epoch[083] Batch [0299]/[3760] Speed: 96.546428 samples/sec accuracy=36.229167 loss=2.864016 lr=0.079000 Epoch[083] Batch [0349]/[3760] Speed: 98.075366 samples/sec accuracy=36.169643 loss=2.862375 lr=0.078990 Epoch[083] Batch [0399]/[3760] Speed: 98.050782 samples/sec accuracy=36.285156 loss=2.858861 lr=0.078979 Epoch[083] Batch [0449]/[3760] Speed: 96.082338 samples/sec accuracy=36.315972 loss=2.855168 lr=0.078969 Epoch[083] Batch [0499]/[3760] Speed: 98.996340 samples/sec accuracy=36.462500 loss=2.847828 lr=0.078958 Epoch[083] 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accuracy=36.568750 loss=2.855745 lr=0.078853 Epoch[083] Batch [1049]/[3760] Speed: 98.813941 samples/sec accuracy=36.540179 loss=2.858055 lr=0.078842 Epoch[083] Batch [1099]/[3760] Speed: 96.680330 samples/sec accuracy=36.545455 loss=2.860689 lr=0.078832 Epoch[083] Batch [1149]/[3760] Speed: 97.924567 samples/sec accuracy=36.576087 loss=2.857568 lr=0.078821 Epoch[083] Batch [1199]/[3760] Speed: 97.007893 samples/sec accuracy=36.630208 loss=2.855335 lr=0.078811 Epoch[083] Batch [1249]/[3760] Speed: 96.753848 samples/sec accuracy=36.552500 loss=2.858980 lr=0.078800 Epoch[083] Batch [1299]/[3760] Speed: 98.176203 samples/sec accuracy=36.486779 loss=2.860979 lr=0.078790 Epoch[083] Batch [1349]/[3760] Speed: 97.496913 samples/sec accuracy=36.510417 loss=2.860704 lr=0.078779 Epoch[083] Batch [1399]/[3760] Speed: 98.061239 samples/sec accuracy=36.553571 loss=2.857589 lr=0.078769 Epoch[083] Batch [1449]/[3760] Speed: 96.305207 samples/sec accuracy=36.543103 loss=2.858615 lr=0.078758 Epoch[083] 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accuracy=36.374199 loss=2.863347 lr=0.078652 Epoch[083] Batch [1999]/[3760] Speed: 97.672847 samples/sec accuracy=36.353906 loss=2.863362 lr=0.078642 Epoch[083] Batch [2049]/[3760] Speed: 98.636837 samples/sec accuracy=36.342226 loss=2.864175 lr=0.078631 Epoch[083] Batch [2099]/[3760] Speed: 97.671325 samples/sec accuracy=36.332589 loss=2.864161 lr=0.078621 Epoch[083] Batch [2149]/[3760] Speed: 97.057778 samples/sec accuracy=36.312500 loss=2.865274 lr=0.078610 Epoch[083] Batch [2199]/[3760] Speed: 98.086619 samples/sec accuracy=36.323864 loss=2.864358 lr=0.078600 Epoch[083] Batch [2249]/[3760] Speed: 96.826040 samples/sec accuracy=36.271528 loss=2.867472 lr=0.078589 Epoch[083] Batch [2299]/[3760] Speed: 99.079760 samples/sec accuracy=36.288723 loss=2.868406 lr=0.078578 Epoch[083] Batch [2349]/[3760] Speed: 96.648669 samples/sec accuracy=36.312500 loss=2.868205 lr=0.078568 Epoch[083] Batch [2399]/[3760] Speed: 98.037097 samples/sec accuracy=36.285807 loss=2.868491 lr=0.078557 Epoch[083] 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accuracy=36.201509 loss=2.872525 lr=0.078451 Epoch[083] Batch [2949]/[3760] Speed: 97.228821 samples/sec accuracy=36.202331 loss=2.872847 lr=0.078441 Epoch[083] Batch [2999]/[3760] Speed: 98.016163 samples/sec accuracy=36.197917 loss=2.872882 lr=0.078430 Epoch[083] Batch [3049]/[3760] Speed: 97.390241 samples/sec accuracy=36.197234 loss=2.872919 lr=0.078419 Epoch[083] Batch [3099]/[3760] Speed: 96.791076 samples/sec accuracy=36.190524 loss=2.873718 lr=0.078409 Epoch[083] Batch [3149]/[3760] Speed: 97.410644 samples/sec accuracy=36.185020 loss=2.873932 lr=0.078398 Epoch[083] Batch [3199]/[3760] Speed: 97.928228 samples/sec accuracy=36.167969 loss=2.874174 lr=0.078388 Epoch[083] Batch [3249]/[3760] Speed: 95.746124 samples/sec accuracy=36.169712 loss=2.873882 lr=0.078377 Epoch[083] Batch [3299]/[3760] Speed: 99.040626 samples/sec accuracy=36.182292 loss=2.873944 lr=0.078366 Epoch[083] Batch [3349]/[3760] Speed: 96.851401 samples/sec accuracy=36.184235 loss=2.873960 lr=0.078356 Epoch[083] Batch [3399]/[3760] Speed: 98.617116 samples/sec accuracy=36.172794 loss=2.874276 lr=0.078345 Epoch[083] Batch [3449]/[3760] Speed: 96.403437 samples/sec accuracy=36.189312 loss=2.874100 lr=0.078334 Epoch[083] Batch [3499]/[3760] Speed: 97.447160 samples/sec accuracy=36.186607 loss=2.874431 lr=0.078324 Epoch[083] Batch [3549]/[3760] Speed: 97.804223 samples/sec accuracy=36.170335 loss=2.875783 lr=0.078313 Epoch[083] Batch [3599]/[3760] Speed: 96.830887 samples/sec accuracy=36.151042 loss=2.876514 lr=0.078303 Epoch[083] Batch [3649]/[3760] Speed: 98.335321 samples/sec accuracy=36.148973 loss=2.876417 lr=0.078292 Epoch[083] Batch [3699]/[3760] Speed: 96.914085 samples/sec accuracy=36.147382 loss=2.876280 lr=0.078281 Epoch[083] Batch [3749]/[3760] Speed: 110.757145 samples/sec accuracy=36.127083 loss=2.876845 lr=0.078271 Batch [0049]/[0303]: acc-top1=35.218750 acc-top5=61.906250 Batch [0099]/[0303]: acc-top1=33.906250 acc-top5=60.687500 Batch [0149]/[0303]: acc-top1=35.218750 acc-top5=61.552083 Batch [0199]/[0303]: acc-top1=37.945312 acc-top5=63.656250 Batch [0249]/[0303]: acc-top1=37.456250 acc-top5=63.687500 Batch [0299]/[0303]: acc-top1=36.354167 acc-top5=63.062500 [Epoch 083] training: accuracy=36.117437 loss=2.877061 [Epoch 083] speed: 97 samples/sec time cost: 2673.984559 [Epoch 083] validation: acc-top1=36.319101 acc-top5=63.118812 loss=2.987894 Epoch[084] Batch [0049]/[3759] Speed: 67.706848 samples/sec accuracy=38.312500 loss=2.750489 lr=0.078258 Epoch[084] Batch [0099]/[3759] Speed: 93.777381 samples/sec accuracy=37.562500 loss=2.794023 lr=0.078247 Epoch[084] Batch [0149]/[3759] Speed: 96.969599 samples/sec accuracy=37.208333 loss=2.816570 lr=0.078237 Epoch[084] Batch [0199]/[3759] Speed: 94.510037 samples/sec accuracy=37.085938 loss=2.830162 lr=0.078226 Epoch[084] Batch [0249]/[3759] Speed: 98.068150 samples/sec accuracy=37.012500 loss=2.835335 lr=0.078215 Epoch[084] Batch [0299]/[3759] Speed: 96.914728 samples/sec accuracy=36.791667 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accuracy=36.106534 loss=2.864594 lr=0.077799 Epoch[084] Batch [2249]/[3759] Speed: 96.492850 samples/sec accuracy=36.138889 loss=2.863688 lr=0.077788 Epoch[084] Batch [2299]/[3759] Speed: 98.098505 samples/sec accuracy=36.127717 loss=2.863416 lr=0.077777 Epoch[084] Batch [2349]/[3759] Speed: 95.838605 samples/sec accuracy=36.098404 loss=2.864165 lr=0.077767 Epoch[084] Batch [2399]/[3759] Speed: 98.176859 samples/sec accuracy=36.102865 loss=2.864115 lr=0.077756 Epoch[084] Batch [2449]/[3759] Speed: 97.835570 samples/sec accuracy=36.084184 loss=2.864860 lr=0.077745 Epoch[084] Batch [2499]/[3759] Speed: 97.624106 samples/sec accuracy=36.060625 loss=2.865307 lr=0.077734 Epoch[084] Batch [2549]/[3759] Speed: 97.144221 samples/sec accuracy=36.078431 loss=2.863734 lr=0.077724 Epoch[084] Batch [2599]/[3759] Speed: 96.599989 samples/sec accuracy=36.061298 loss=2.863723 lr=0.077713 Epoch[084] Batch [2649]/[3759] Speed: 97.187431 samples/sec accuracy=36.103184 loss=2.862756 lr=0.077702 Epoch[084] 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accuracy=36.080853 loss=2.865194 lr=0.077595 Epoch[084] Batch [3199]/[3759] Speed: 96.340317 samples/sec accuracy=36.082520 loss=2.865637 lr=0.077584 Epoch[084] Batch [3249]/[3759] Speed: 98.160594 samples/sec accuracy=36.097596 loss=2.865707 lr=0.077573 Epoch[084] Batch [3299]/[3759] Speed: 98.259979 samples/sec accuracy=36.088068 loss=2.866525 lr=0.077562 Epoch[084] Batch [3349]/[3759] Speed: 97.234760 samples/sec accuracy=36.090485 loss=2.866535 lr=0.077552 Epoch[084] Batch [3399]/[3759] Speed: 96.218112 samples/sec accuracy=36.093750 loss=2.866456 lr=0.077541 Epoch[084] Batch [3449]/[3759] Speed: 98.159570 samples/sec accuracy=36.086957 loss=2.866202 lr=0.077530 Epoch[084] Batch [3499]/[3759] Speed: 97.998564 samples/sec accuracy=36.087500 loss=2.866084 lr=0.077519 Epoch[084] Batch [3549]/[3759] Speed: 96.409341 samples/sec accuracy=36.105194 loss=2.865273 lr=0.077509 Epoch[084] Batch [3599]/[3759] Speed: 97.398172 samples/sec accuracy=36.084201 loss=2.866374 lr=0.077498 Epoch[084] Batch [3649]/[3759] Speed: 97.524837 samples/sec accuracy=36.104452 loss=2.865841 lr=0.077487 Epoch[084] Batch [3699]/[3759] Speed: 97.035186 samples/sec accuracy=36.107264 loss=2.865588 lr=0.077476 Epoch[084] Batch [3749]/[3759] Speed: 111.406938 samples/sec accuracy=36.119167 loss=2.865584 lr=0.077465 Batch [0049]/[0303]: acc-top1=36.125000 acc-top5=61.406250 Batch [0099]/[0303]: acc-top1=33.140625 acc-top5=58.453125 Batch [0149]/[0303]: acc-top1=34.395833 acc-top5=60.062500 Batch [0199]/[0303]: acc-top1=37.210938 acc-top5=62.398438 Batch [0249]/[0303]: acc-top1=36.181250 acc-top5=62.112500 Batch [0299]/[0303]: acc-top1=35.411458 acc-top5=62.104167 [Epoch 084] training: accuracy=36.123720 loss=2.865427 [Epoch 084] speed: 96 samples/sec time cost: 2681.515246 [Epoch 084] validation: acc-top1=35.426980 acc-top5=62.061675 loss=3.103747 Epoch[085] Batch [0049]/[3760] Speed: 68.517141 samples/sec accuracy=36.718750 loss=2.787491 lr=0.077453 Epoch[085] Batch [0099]/[3760] Speed: 93.833052 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lr=0.076933 Epoch[085] Batch [2499]/[3760] Speed: 97.461982 samples/sec accuracy=36.276875 loss=2.855172 lr=0.076922 Epoch[085] Batch [2549]/[3760] Speed: 98.506293 samples/sec accuracy=36.268382 loss=2.855305 lr=0.076912 Epoch[085] Batch [2599]/[3760] Speed: 98.480016 samples/sec accuracy=36.295072 loss=2.854564 lr=0.076901 Epoch[085] Batch [2649]/[3760] Speed: 98.220795 samples/sec accuracy=36.295401 loss=2.854509 lr=0.076890 Epoch[085] Batch [2699]/[3760] Speed: 95.631897 samples/sec accuracy=36.293403 loss=2.854148 lr=0.076879 Epoch[085] Batch [2749]/[3760] Speed: 98.691011 samples/sec accuracy=36.319318 loss=2.853864 lr=0.076868 Epoch[085] Batch [2799]/[3760] Speed: 98.159850 samples/sec accuracy=36.296875 loss=2.854918 lr=0.076857 Epoch[085] Batch [2849]/[3760] Speed: 97.378778 samples/sec accuracy=36.302632 loss=2.854752 lr=0.076846 Epoch[085] Batch [2899]/[3760] Speed: 97.757931 samples/sec accuracy=36.278017 loss=2.856485 lr=0.076835 Epoch[085] Batch [2949]/[3760] Speed: 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lr=0.076726 Epoch[085] Batch [3449]/[3760] Speed: 98.054818 samples/sec accuracy=36.275815 loss=2.857353 lr=0.076716 Epoch[085] Batch [3499]/[3760] Speed: 97.197810 samples/sec accuracy=36.258929 loss=2.857550 lr=0.076705 Epoch[085] Batch [3549]/[3760] Speed: 97.248530 samples/sec accuracy=36.251761 loss=2.857955 lr=0.076694 Epoch[085] Batch [3599]/[3760] Speed: 97.114083 samples/sec accuracy=36.231337 loss=2.858977 lr=0.076683 Epoch[085] Batch [3649]/[3760] Speed: 97.692948 samples/sec accuracy=36.218750 loss=2.859539 lr=0.076672 Epoch[085] Batch [3699]/[3760] Speed: 96.406091 samples/sec accuracy=36.228885 loss=2.858351 lr=0.076661 Epoch[085] Batch [3749]/[3760] Speed: 111.298407 samples/sec accuracy=36.207500 loss=2.859422 lr=0.076650 Batch [0049]/[0303]: acc-top1=37.750000 acc-top5=62.531250 Batch [0099]/[0303]: acc-top1=33.718750 acc-top5=60.062500 Batch [0149]/[0303]: acc-top1=35.791667 acc-top5=61.822917 Batch [0199]/[0303]: acc-top1=38.093750 acc-top5=64.078125 Batch [0249]/[0303]: acc-top1=37.568750 acc-top5=64.187500 Batch [0299]/[0303]: acc-top1=37.192708 acc-top5=64.114583 [Epoch 085] training: accuracy=36.199302 loss=2.859659 [Epoch 085] speed: 97 samples/sec time cost: 2670.423174 [Epoch 085] validation: acc-top1=37.345297 acc-top5=64.201733 loss=2.950051 Epoch[086] Batch [0049]/[3760] Speed: 66.556390 samples/sec accuracy=39.156250 loss=2.749437 lr=0.076637 Epoch[086] Batch [0099]/[3760] Speed: 92.928156 samples/sec accuracy=38.203125 loss=2.788297 lr=0.076626 Epoch[086] Batch [0149]/[3760] Speed: 100.086666 samples/sec accuracy=38.187500 loss=2.782909 lr=0.076615 Epoch[086] Batch [0199]/[3760] Speed: 96.051634 samples/sec accuracy=37.617188 loss=2.805637 lr=0.076604 Epoch[086] Batch [0249]/[3760] Speed: 98.611327 samples/sec accuracy=37.775000 loss=2.801451 lr=0.076593 Epoch[086] Batch [0299]/[3760] Speed: 96.419991 samples/sec accuracy=37.453125 loss=2.813153 lr=0.076582 Epoch[086] Batch [0349]/[3760] Speed: 97.436428 samples/sec accuracy=37.281250 loss=2.820889 lr=0.076571 Epoch[086] Batch [0399]/[3760] Speed: 97.818968 samples/sec accuracy=37.179688 loss=2.822941 lr=0.076561 Epoch[086] Batch [0449]/[3760] Speed: 96.256058 samples/sec accuracy=37.152778 loss=2.823108 lr=0.076550 Epoch[086] Batch [0499]/[3760] Speed: 99.377890 samples/sec accuracy=37.037500 loss=2.825335 lr=0.076539 Epoch[086] Batch [0549]/[3760] Speed: 97.698451 samples/sec accuracy=36.914773 loss=2.828541 lr=0.076528 Epoch[086] Batch [0599]/[3760] Speed: 97.466692 samples/sec accuracy=36.893229 loss=2.830541 lr=0.076517 Epoch[086] Batch [0649]/[3760] Speed: 96.338974 samples/sec accuracy=36.810096 loss=2.831004 lr=0.076506 Epoch[086] Batch [0699]/[3760] Speed: 98.235031 samples/sec accuracy=36.669643 loss=2.837252 lr=0.076495 Epoch[086] Batch [0749]/[3760] Speed: 97.565315 samples/sec accuracy=36.687500 loss=2.839055 lr=0.076484 Epoch[086] Batch [0799]/[3760] Speed: 97.605973 samples/sec accuracy=36.664062 loss=2.840254 lr=0.076473 Epoch[086] 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accuracy=36.721154 loss=2.837666 lr=0.076364 Epoch[086] Batch [1349]/[3760] Speed: 97.172747 samples/sec accuracy=36.626157 loss=2.841585 lr=0.076353 Epoch[086] Batch [1399]/[3760] Speed: 97.663047 samples/sec accuracy=36.607143 loss=2.841270 lr=0.076342 Epoch[086] Batch [1449]/[3760] Speed: 96.997138 samples/sec accuracy=36.572198 loss=2.842044 lr=0.076331 Epoch[086] Batch [1499]/[3760] Speed: 97.404578 samples/sec accuracy=36.580208 loss=2.841317 lr=0.076320 Epoch[086] Batch [1549]/[3760] Speed: 97.717064 samples/sec accuracy=36.598790 loss=2.840349 lr=0.076309 Epoch[086] Batch [1599]/[3760] Speed: 96.850137 samples/sec accuracy=36.583008 loss=2.842387 lr=0.076298 Epoch[086] Batch [1649]/[3760] Speed: 96.513013 samples/sec accuracy=36.547348 loss=2.843527 lr=0.076287 Epoch[086] Batch [1699]/[3760] Speed: 98.746122 samples/sec accuracy=36.566176 loss=2.843732 lr=0.076276 Epoch[086] Batch [1749]/[3760] Speed: 97.393486 samples/sec accuracy=36.591071 loss=2.842789 lr=0.076265 Epoch[086] 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accuracy=36.540972 loss=2.844463 lr=0.076155 Epoch[086] Batch [2299]/[3760] Speed: 97.035563 samples/sec accuracy=36.536685 loss=2.844472 lr=0.076144 Epoch[086] Batch [2349]/[3760] Speed: 97.618388 samples/sec accuracy=36.535239 loss=2.844548 lr=0.076133 Epoch[086] Batch [2399]/[3760] Speed: 97.953238 samples/sec accuracy=36.520833 loss=2.845114 lr=0.076122 Epoch[086] Batch [2449]/[3760] Speed: 97.155306 samples/sec accuracy=36.505740 loss=2.846049 lr=0.076111 Epoch[086] Batch [2499]/[3760] Speed: 97.125337 samples/sec accuracy=36.485625 loss=2.846472 lr=0.076100 Epoch[086] Batch [2549]/[3760] Speed: 96.498598 samples/sec accuracy=36.470588 loss=2.846689 lr=0.076089 Epoch[086] Batch [2599]/[3760] Speed: 97.542900 samples/sec accuracy=36.433894 loss=2.848446 lr=0.076078 Epoch[086] Batch [2649]/[3760] Speed: 96.697761 samples/sec accuracy=36.451061 loss=2.847990 lr=0.076067 Epoch[086] Batch [2699]/[3760] Speed: 96.695478 samples/sec accuracy=36.440394 loss=2.848994 lr=0.076056 Epoch[086] 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accuracy=36.404785 loss=2.852977 lr=0.075946 Epoch[086] Batch [3249]/[3760] Speed: 99.147500 samples/sec accuracy=36.406250 loss=2.852452 lr=0.075935 Epoch[086] Batch [3299]/[3760] Speed: 96.433484 samples/sec accuracy=36.411932 loss=2.852029 lr=0.075924 Epoch[086] Batch [3349]/[3760] Speed: 97.502883 samples/sec accuracy=36.417910 loss=2.851662 lr=0.075913 Epoch[086] Batch [3399]/[3760] Speed: 96.624989 samples/sec accuracy=36.418658 loss=2.852657 lr=0.075902 Epoch[086] Batch [3449]/[3760] Speed: 97.071309 samples/sec accuracy=36.425725 loss=2.852425 lr=0.075891 Epoch[086] Batch [3499]/[3760] Speed: 97.945472 samples/sec accuracy=36.425000 loss=2.852602 lr=0.075880 Epoch[086] Batch [3549]/[3760] Speed: 96.289414 samples/sec accuracy=36.436620 loss=2.851748 lr=0.075869 Epoch[086] Batch [3599]/[3760] Speed: 98.664232 samples/sec accuracy=36.427083 loss=2.852509 lr=0.075858 Epoch[086] Batch [3649]/[3760] Speed: 96.614969 samples/sec accuracy=36.424658 loss=2.852793 lr=0.075847 Epoch[086] Batch [3699]/[3760] Speed: 97.498412 samples/sec accuracy=36.432432 loss=2.852732 lr=0.075836 Epoch[086] Batch [3749]/[3760] Speed: 110.369947 samples/sec accuracy=36.438750 loss=2.852441 lr=0.075825 Batch [0049]/[0303]: acc-top1=37.500000 acc-top5=63.187500 Batch [0099]/[0303]: acc-top1=34.343750 acc-top5=60.906250 Batch [0149]/[0303]: acc-top1=36.593750 acc-top5=62.781250 Batch [0199]/[0303]: acc-top1=39.007812 acc-top5=64.593750 Batch [0249]/[0303]: acc-top1=38.037500 acc-top5=64.093750 Batch [0299]/[0303]: acc-top1=37.619792 acc-top5=64.385417 [Epoch 086] training: accuracy=36.433677 loss=2.852718 [Epoch 086] speed: 96 samples/sec time cost: 2675.226950 [Epoch 086] validation: acc-top1=37.587665 acc-top5=64.377063 loss=2.915703 Epoch[087] Batch [0049]/[3759] Speed: 66.959416 samples/sec accuracy=35.968750 loss=2.816628 lr=0.075811 Epoch[087] Batch [0099]/[3759] Speed: 93.464679 samples/sec accuracy=36.609375 loss=2.821502 lr=0.075800 Epoch[087] Batch [0149]/[3759] Speed: 97.766899 samples/sec accuracy=36.802083 loss=2.823179 lr=0.075789 Epoch[087] Batch [0199]/[3759] Speed: 96.980133 samples/sec accuracy=36.664062 loss=2.822089 lr=0.075778 Epoch[087] Batch [0249]/[3759] Speed: 97.802811 samples/sec accuracy=36.868750 loss=2.806407 lr=0.075767 Epoch[087] Batch [0299]/[3759] Speed: 94.168260 samples/sec accuracy=36.838542 loss=2.809781 lr=0.075756 Epoch[087] Batch [0349]/[3759] Speed: 98.903409 samples/sec accuracy=36.750000 loss=2.816130 lr=0.075745 Epoch[087] Batch [0399]/[3759] Speed: 96.962957 samples/sec accuracy=36.785156 loss=2.810607 lr=0.075734 Epoch[087] Batch [0449]/[3759] Speed: 98.109782 samples/sec accuracy=36.760417 loss=2.812978 lr=0.075723 Epoch[087] Batch [0499]/[3759] Speed: 96.121909 samples/sec accuracy=36.687500 loss=2.816725 lr=0.075712 Epoch[087] Batch [0549]/[3759] Speed: 97.757017 samples/sec accuracy=36.775568 loss=2.815766 lr=0.075701 Epoch[087] Batch [0599]/[3759] Speed: 98.361628 samples/sec accuracy=36.856771 loss=2.810574 lr=0.075690 Epoch[087] Batch [0649]/[3759] Speed: 94.928846 samples/sec accuracy=36.783654 loss=2.812313 lr=0.075679 Epoch[087] Batch [0699]/[3759] Speed: 99.249612 samples/sec accuracy=36.776786 loss=2.812998 lr=0.075668 Epoch[087] Batch [0749]/[3759] Speed: 97.556622 samples/sec accuracy=36.652083 loss=2.819177 lr=0.075656 Epoch[087] Batch [0799]/[3759] Speed: 97.585814 samples/sec accuracy=36.541016 loss=2.826848 lr=0.075645 Epoch[087] Batch [0849]/[3759] Speed: 95.934756 samples/sec accuracy=36.604779 loss=2.823581 lr=0.075634 Epoch[087] Batch [0899]/[3759] Speed: 97.691923 samples/sec accuracy=36.633681 loss=2.824256 lr=0.075623 Epoch[087] Batch [0949]/[3759] Speed: 96.692327 samples/sec accuracy=36.605263 loss=2.825066 lr=0.075612 Epoch[087] Batch [0999]/[3759] Speed: 96.630699 samples/sec accuracy=36.642187 loss=2.826392 lr=0.075601 Epoch[087] Batch [1049]/[3759] Speed: 98.772609 samples/sec accuracy=36.700893 loss=2.825928 lr=0.075590 Epoch[087] Batch [1099]/[3759] Speed: 97.763135 samples/sec accuracy=36.649148 loss=2.827933 lr=0.075579 Epoch[087] Batch [1149]/[3759] Speed: 97.087875 samples/sec accuracy=36.657609 loss=2.828463 lr=0.075568 Epoch[087] Batch [1199]/[3759] Speed: 97.108585 samples/sec accuracy=36.687500 loss=2.828928 lr=0.075557 Epoch[087] Batch [1249]/[3759] Speed: 96.504618 samples/sec accuracy=36.663750 loss=2.833004 lr=0.075546 Epoch[087] Batch [1299]/[3759] Speed: 98.842451 samples/sec accuracy=36.650240 loss=2.833063 lr=0.075535 Epoch[087] Batch [1349]/[3759] Speed: 96.122515 samples/sec accuracy=36.692130 loss=2.831425 lr=0.075523 Epoch[087] Batch [1399]/[3759] Speed: 98.937064 samples/sec accuracy=36.710938 loss=2.829686 lr=0.075512 Epoch[087] Batch [1449]/[3759] Speed: 97.371362 samples/sec accuracy=36.673491 loss=2.830087 lr=0.075501 Epoch[087] Batch [1499]/[3759] Speed: 97.165583 samples/sec accuracy=36.641667 loss=2.831785 lr=0.075490 Epoch[087] Batch [1549]/[3759] Speed: 96.072913 samples/sec accuracy=36.651210 loss=2.832581 lr=0.075479 Epoch[087] Batch [1599]/[3759] Speed: 97.516977 samples/sec accuracy=36.616211 loss=2.834671 lr=0.075468 Epoch[087] Batch [1649]/[3759] Speed: 96.852680 samples/sec accuracy=36.542614 loss=2.838300 lr=0.075457 Epoch[087] Batch [1699]/[3759] Speed: 96.027091 samples/sec accuracy=36.537684 loss=2.838416 lr=0.075446 Epoch[087] Batch [1749]/[3759] Speed: 98.611450 samples/sec accuracy=36.561607 loss=2.837708 lr=0.075435 Epoch[087] Batch [1799]/[3759] Speed: 97.165462 samples/sec accuracy=36.546007 loss=2.838078 lr=0.075424 Epoch[087] Batch [1849]/[3759] Speed: 97.396943 samples/sec accuracy=36.554054 loss=2.837725 lr=0.075412 Epoch[087] Batch [1899]/[3759] Speed: 96.342826 samples/sec accuracy=36.602796 loss=2.835775 lr=0.075401 Epoch[087] Batch [1949]/[3759] Speed: 98.144855 samples/sec accuracy=36.561699 loss=2.836784 lr=0.075390 Epoch[087] Batch [1999]/[3759] Speed: 97.573203 samples/sec accuracy=36.556250 loss=2.836892 lr=0.075379 Epoch[087] Batch [2049]/[3759] Speed: 96.474966 samples/sec accuracy=36.545732 loss=2.836492 lr=0.075368 Epoch[087] Batch [2099]/[3759] Speed: 97.670273 samples/sec accuracy=36.548363 loss=2.837590 lr=0.075357 Epoch[087] Batch [2149]/[3759] Speed: 98.137935 samples/sec accuracy=36.538517 loss=2.839072 lr=0.075346 Epoch[087] Batch [2199]/[3759] Speed: 97.700582 samples/sec accuracy=36.511364 loss=2.840522 lr=0.075335 Epoch[087] Batch [2249]/[3759] Speed: 95.955716 samples/sec accuracy=36.479861 loss=2.842140 lr=0.075324 Epoch[087] Batch [2299]/[3759] Speed: 97.719251 samples/sec accuracy=36.485054 loss=2.842064 lr=0.075312 Epoch[087] Batch [2349]/[3759] Speed: 96.929577 samples/sec accuracy=36.514628 loss=2.841770 lr=0.075301 Epoch[087] Batch [2399]/[3759] Speed: 97.534467 samples/sec accuracy=36.535807 loss=2.841819 lr=0.075290 Epoch[087] Batch [2449]/[3759] Speed: 97.365806 samples/sec accuracy=36.536352 loss=2.842189 lr=0.075279 Epoch[087] Batch [2499]/[3759] Speed: 97.606039 samples/sec accuracy=36.504375 loss=2.843333 lr=0.075268 Epoch[087] Batch [2549]/[3759] Speed: 96.945196 samples/sec accuracy=36.507353 loss=2.842420 lr=0.075257 Epoch[087] Batch [2599]/[3759] Speed: 96.573756 samples/sec accuracy=36.498197 loss=2.842873 lr=0.075246 Epoch[087] Batch [2649]/[3759] Speed: 98.029153 samples/sec accuracy=36.508255 loss=2.842713 lr=0.075235 Epoch[087] Batch [2699]/[3759] Speed: 97.229317 samples/sec accuracy=36.512153 loss=2.842255 lr=0.075223 Epoch[087] Batch [2749]/[3759] Speed: 97.578332 samples/sec accuracy=36.501136 loss=2.843002 lr=0.075212 Epoch[087] Batch [2799]/[3759] Speed: 97.045769 samples/sec accuracy=36.494420 loss=2.844823 lr=0.075201 Epoch[087] Batch [2849]/[3759] Speed: 97.397805 samples/sec accuracy=36.490132 loss=2.844785 lr=0.075190 Epoch[087] Batch [2899]/[3759] Speed: 96.472571 samples/sec accuracy=36.490841 loss=2.844626 lr=0.075179 Epoch[087] Batch [2949]/[3759] Speed: 97.608379 samples/sec accuracy=36.480932 loss=2.845277 lr=0.075168 Epoch[087] Batch [2999]/[3759] Speed: 97.927654 samples/sec accuracy=36.479688 loss=2.845611 lr=0.075157 Epoch[087] Batch [3049]/[3759] Speed: 98.247602 samples/sec accuracy=36.477971 loss=2.845980 lr=0.075145 Epoch[087] Batch [3099]/[3759] Speed: 96.788985 samples/sec accuracy=36.459173 loss=2.847331 lr=0.075134 Epoch[087] Batch [3149]/[3759] Speed: 97.075475 samples/sec accuracy=36.470734 loss=2.847487 lr=0.075123 Epoch[087] Batch [3199]/[3759] Speed: 97.641211 samples/sec accuracy=36.487305 loss=2.846678 lr=0.075112 Epoch[087] Batch [3249]/[3759] Speed: 96.978221 samples/sec accuracy=36.483173 loss=2.846154 lr=0.075101 Epoch[087] Batch [3299]/[3759] Speed: 97.296853 samples/sec accuracy=36.473011 loss=2.846220 lr=0.075090 Epoch[087] Batch [3349]/[3759] Speed: 96.829432 samples/sec accuracy=36.445896 loss=2.847581 lr=0.075079 Epoch[087] Batch [3399]/[3759] Speed: 97.866791 samples/sec accuracy=36.473805 loss=2.846495 lr=0.075067 Epoch[087] Batch [3449]/[3759] Speed: 97.006169 samples/sec accuracy=36.483243 loss=2.846151 lr=0.075056 Epoch[087] Batch [3499]/[3759] Speed: 96.973660 samples/sec accuracy=36.478125 loss=2.846636 lr=0.075045 Epoch[087] Batch [3549]/[3759] Speed: 97.924942 samples/sec accuracy=36.487236 loss=2.846410 lr=0.075034 Epoch[087] Batch [3599]/[3759] Speed: 96.416036 samples/sec accuracy=36.477431 loss=2.846384 lr=0.075023 Epoch[087] Batch [3649]/[3759] Speed: 97.149310 samples/sec accuracy=36.488014 loss=2.846423 lr=0.075012 Epoch[087] Batch [3699]/[3759] Speed: 96.744981 samples/sec accuracy=36.503378 loss=2.845883 lr=0.075000 Epoch[087] Batch [3749]/[3759] Speed: 112.195843 samples/sec accuracy=36.491667 loss=2.846207 lr=0.074989 Batch [0049]/[0303]: acc-top1=37.781250 acc-top5=63.062500 Batch [0099]/[0303]: acc-top1=34.312500 acc-top5=61.218750 Batch [0149]/[0303]: acc-top1=36.666667 acc-top5=62.968750 Batch [0199]/[0303]: acc-top1=39.453125 acc-top5=64.937500 Batch [0249]/[0303]: acc-top1=38.550000 acc-top5=64.631250 Batch [0299]/[0303]: acc-top1=37.875000 acc-top5=64.494792 [Epoch 087] training: accuracy=36.493250 loss=2.846258 [Epoch 087] speed: 96 samples/sec time cost: 2678.121935 [Epoch 087] validation: acc-top1=37.830033 acc-top5=64.485355 loss=2.960661 Epoch[088] Batch [0049]/[3760] Speed: 66.890642 samples/sec accuracy=38.031250 loss=2.742378 lr=0.074976 Epoch[088] Batch [0099]/[3760] Speed: 94.177532 samples/sec accuracy=37.062500 loss=2.785911 lr=0.074965 Epoch[088] Batch [0149]/[3760] Speed: 98.737274 samples/sec accuracy=37.052083 loss=2.793694 lr=0.074954 Epoch[088] Batch [0199]/[3760] Speed: 94.479769 samples/sec accuracy=37.031250 loss=2.801614 lr=0.074942 Epoch[088] Batch [0249]/[3760] Speed: 99.569506 samples/sec accuracy=36.987500 loss=2.802388 lr=0.074931 Epoch[088] Batch [0299]/[3760] Speed: 96.255269 samples/sec accuracy=37.005208 loss=2.801351 lr=0.074920 Epoch[088] Batch [0349]/[3760] Speed: 99.066602 samples/sec accuracy=36.995536 loss=2.804921 lr=0.074909 Epoch[088] Batch [0399]/[3760] Speed: 95.240503 samples/sec accuracy=37.027344 loss=2.806221 lr=0.074898 Epoch[088] Batch [0449]/[3760] Speed: 98.181734 samples/sec accuracy=37.010417 loss=2.805554 lr=0.074887 Epoch[088] Batch [0499]/[3760] Speed: 97.093598 samples/sec accuracy=36.996875 loss=2.806887 lr=0.074875 Epoch[088] Batch [0549]/[3760] Speed: 94.869765 samples/sec accuracy=36.948864 loss=2.808189 lr=0.074864 Epoch[088] Batch [0599]/[3760] Speed: 99.601070 samples/sec accuracy=36.830729 loss=2.813614 lr=0.074853 Epoch[088] Batch [0649]/[3760] Speed: 96.989668 samples/sec accuracy=36.805288 loss=2.814888 lr=0.074842 Epoch[088] Batch [0699]/[3760] Speed: 98.451421 samples/sec accuracy=36.799107 loss=2.814160 lr=0.074831 Epoch[088] Batch [0749]/[3760] Speed: 96.850411 samples/sec accuracy=36.718750 loss=2.816785 lr=0.074819 Epoch[088] Batch [0799]/[3760] Speed: 97.798006 samples/sec accuracy=36.707031 loss=2.819569 lr=0.074808 Epoch[088] Batch [0849]/[3760] Speed: 97.182547 samples/sec accuracy=36.689338 loss=2.821553 lr=0.074797 Epoch[088] Batch [0899]/[3760] Speed: 95.378047 samples/sec accuracy=36.708333 loss=2.822753 lr=0.074786 Epoch[088] Batch [0949]/[3760] Speed: 98.855481 samples/sec accuracy=36.644737 loss=2.826079 lr=0.074775 Epoch[088] Batch [0999]/[3760] Speed: 96.906698 samples/sec accuracy=36.684375 loss=2.823188 lr=0.074763 Epoch[088] Batch [1049]/[3760] Speed: 98.193359 samples/sec accuracy=36.720238 loss=2.821898 lr=0.074752 Epoch[088] Batch [1099]/[3760] Speed: 96.234161 samples/sec accuracy=36.742898 loss=2.820774 lr=0.074741 Epoch[088] Batch [1149]/[3760] Speed: 98.599700 samples/sec accuracy=36.741848 loss=2.821292 lr=0.074730 Epoch[088] Batch [1199]/[3760] Speed: 97.772428 samples/sec accuracy=36.717448 loss=2.822787 lr=0.074719 Epoch[088] Batch [1249]/[3760] Speed: 95.410780 samples/sec accuracy=36.687500 loss=2.822342 lr=0.074707 Epoch[088] Batch [1299]/[3760] Speed: 98.500390 samples/sec accuracy=36.617788 loss=2.826712 lr=0.074696 Epoch[088] Batch [1349]/[3760] Speed: 97.778840 samples/sec accuracy=36.658565 loss=2.825459 lr=0.074685 Epoch[088] Batch [1399]/[3760] Speed: 98.465108 samples/sec accuracy=36.659598 loss=2.825246 lr=0.074674 Epoch[088] Batch [1449]/[3760] Speed: 96.181196 samples/sec accuracy=36.664871 loss=2.825349 lr=0.074663 Epoch[088] Batch [1499]/[3760] Speed: 97.734508 samples/sec accuracy=36.645833 loss=2.825743 lr=0.074651 Epoch[088] Batch [1549]/[3760] Speed: 97.833547 samples/sec accuracy=36.621976 loss=2.826951 lr=0.074640 Epoch[088] Batch [1599]/[3760] Speed: 97.942263 samples/sec accuracy=36.625000 loss=2.827789 lr=0.074629 Epoch[088] Batch [1649]/[3760] Speed: 96.507931 samples/sec accuracy=36.636364 loss=2.827971 lr=0.074618 Epoch[088] Batch [1699]/[3760] Speed: 97.685035 samples/sec accuracy=36.641544 loss=2.828305 lr=0.074606 Epoch[088] Batch [1749]/[3760] Speed: 97.388692 samples/sec accuracy=36.622321 loss=2.829245 lr=0.074595 Epoch[088] Batch [1799]/[3760] Speed: 96.441382 samples/sec accuracy=36.625868 loss=2.830203 lr=0.074584 Epoch[088] Batch [1849]/[3760] Speed: 98.024604 samples/sec accuracy=36.608953 loss=2.831256 lr=0.074573 Epoch[088] Batch [1899]/[3760] Speed: 98.125963 samples/sec accuracy=36.582237 loss=2.834050 lr=0.074561 Epoch[088] Batch [1949]/[3760] Speed: 97.938696 samples/sec accuracy=36.629808 loss=2.832908 lr=0.074550 Epoch[088] Batch [1999]/[3760] Speed: 97.145181 samples/sec accuracy=36.626562 loss=2.833660 lr=0.074539 Epoch[088] Batch [2049]/[3760] Speed: 97.930822 samples/sec accuracy=36.660823 loss=2.833888 lr=0.074528 Epoch[088] Batch [2099]/[3760] Speed: 98.113047 samples/sec accuracy=36.628720 loss=2.835064 lr=0.074517 Epoch[088] Batch [2149]/[3760] Speed: 97.289817 samples/sec accuracy=36.655523 loss=2.834115 lr=0.074505 Epoch[088] Batch [2199]/[3760] Speed: 97.819253 samples/sec accuracy=36.622159 loss=2.835667 lr=0.074494 Epoch[088] Batch [2249]/[3760] Speed: 98.438216 samples/sec accuracy=36.596528 loss=2.836484 lr=0.074483 Epoch[088] Batch [2299]/[3760] Speed: 97.795359 samples/sec accuracy=36.595788 loss=2.835525 lr=0.074472 Epoch[088] Batch [2349]/[3760] Speed: 97.071771 samples/sec accuracy=36.583112 loss=2.836034 lr=0.074460 Epoch[088] Batch [2399]/[3760] Speed: 97.592331 samples/sec accuracy=36.572917 loss=2.837019 lr=0.074449 Epoch[088] Batch [2449]/[3760] Speed: 97.348514 samples/sec accuracy=36.557398 loss=2.837996 lr=0.074438 Epoch[088] Batch [2499]/[3760] Speed: 96.959177 samples/sec accuracy=36.571250 loss=2.837655 lr=0.074427 Epoch[088] Batch [2549]/[3760] Speed: 97.506399 samples/sec accuracy=36.565564 loss=2.838330 lr=0.074415 Epoch[088] Batch [2599]/[3760] Speed: 98.517371 samples/sec accuracy=36.570312 loss=2.837837 lr=0.074404 Epoch[088] Batch [2649]/[3760] Speed: 97.906063 samples/sec accuracy=36.573703 loss=2.837460 lr=0.074393 Epoch[088] Batch [2699]/[3760] Speed: 96.553924 samples/sec accuracy=36.589120 loss=2.837252 lr=0.074382 Epoch[088] Batch [2749]/[3760] Speed: 97.864480 samples/sec accuracy=36.602841 loss=2.837449 lr=0.074370 Epoch[088] Batch [2799]/[3760] Speed: 97.860391 samples/sec accuracy=36.593192 loss=2.837724 lr=0.074359 Epoch[088] Batch [2849]/[3760] Speed: 97.038558 samples/sec accuracy=36.611842 loss=2.837228 lr=0.074348 Epoch[088] Batch [2899]/[3760] Speed: 97.898193 samples/sec accuracy=36.626616 loss=2.836388 lr=0.074336 Epoch[088] Batch [2949]/[3760] Speed: 97.873769 samples/sec accuracy=36.626059 loss=2.836651 lr=0.074325 Epoch[088] Batch [2999]/[3760] Speed: 97.503301 samples/sec accuracy=36.614583 loss=2.837674 lr=0.074314 Epoch[088] Batch [3049]/[3760] Speed: 97.512235 samples/sec accuracy=36.622951 loss=2.837354 lr=0.074303 Epoch[088] Batch [3099]/[3760] Speed: 97.976498 samples/sec accuracy=36.614919 loss=2.837874 lr=0.074291 Epoch[088] Batch [3149]/[3760] Speed: 97.714168 samples/sec accuracy=36.616567 loss=2.837908 lr=0.074280 Epoch[088] Batch [3199]/[3760] Speed: 96.520695 samples/sec accuracy=36.635254 loss=2.837682 lr=0.074269 Epoch[088] Batch [3249]/[3760] Speed: 98.289045 samples/sec accuracy=36.653365 loss=2.837303 lr=0.074258 Epoch[088] Batch [3299]/[3760] Speed: 97.931712 samples/sec accuracy=36.668087 loss=2.837832 lr=0.074246 Epoch[088] Batch [3349]/[3760] Speed: 98.569738 samples/sec accuracy=36.673507 loss=2.837587 lr=0.074235 Epoch[088] Batch [3399]/[3760] Speed: 96.827642 samples/sec accuracy=36.668658 loss=2.837707 lr=0.074224 Epoch[088] Batch [3449]/[3760] Speed: 97.847217 samples/sec accuracy=36.672101 loss=2.837568 lr=0.074212 Epoch[088] Batch [3499]/[3760] Speed: 97.376582 samples/sec accuracy=36.666071 loss=2.837635 lr=0.074201 Epoch[088] Batch [3549]/[3760] Speed: 96.526129 samples/sec accuracy=36.671655 loss=2.837315 lr=0.074190 Epoch[088] Batch [3599]/[3760] Speed: 97.539905 samples/sec accuracy=36.687500 loss=2.837443 lr=0.074179 Epoch[088] Batch [3649]/[3760] Speed: 96.928941 samples/sec accuracy=36.673801 loss=2.838054 lr=0.074167 Epoch[088] Batch [3699]/[3760] Speed: 98.211863 samples/sec accuracy=36.648649 loss=2.839046 lr=0.074156 Epoch[088] Batch [3749]/[3760] Speed: 109.895449 samples/sec accuracy=36.647917 loss=2.838921 lr=0.074145 Batch [0049]/[0303]: acc-top1=37.093750 acc-top5=63.812500 Batch [0099]/[0303]: acc-top1=34.656250 acc-top5=61.609375 Batch [0149]/[0303]: acc-top1=36.145833 acc-top5=62.916667 Batch [0199]/[0303]: acc-top1=39.250000 acc-top5=64.968750 Batch [0249]/[0303]: acc-top1=38.668750 acc-top5=65.031250 Batch [0299]/[0303]: acc-top1=38.182292 acc-top5=65.140625 [Epoch 088] training: accuracy=36.643534 loss=2.838542 [Epoch 088] speed: 97 samples/sec time cost: 2671.730653 [Epoch 088] validation: acc-top1=38.232261 acc-top5=65.212459 loss=2.936362 Epoch[089] Batch [0049]/[3760] Speed: 66.821974 samples/sec accuracy=37.250000 loss=2.800630 lr=0.074131 Epoch[089] Batch [0099]/[3760] Speed: 93.123482 samples/sec accuracy=36.843750 loss=2.810208 lr=0.074120 Epoch[089] Batch [0149]/[3760] Speed: 96.497910 samples/sec accuracy=37.229167 loss=2.797324 lr=0.074109 Epoch[089] Batch [0199]/[3760] Speed: 94.924151 samples/sec accuracy=37.601562 loss=2.795037 lr=0.074097 Epoch[089] Batch [0249]/[3760] Speed: 98.657510 samples/sec accuracy=37.537500 loss=2.789642 lr=0.074086 Epoch[089] Batch [0299]/[3760] Speed: 96.264194 samples/sec accuracy=37.708333 loss=2.784754 lr=0.074075 Epoch[089] Batch [0349]/[3760] Speed: 98.536607 samples/sec accuracy=37.638393 loss=2.790056 lr=0.074063 Epoch[089] Batch [0399]/[3760] Speed: 97.322949 samples/sec accuracy=37.582031 loss=2.798048 lr=0.074052 Epoch[089] Batch [0449]/[3760] Speed: 97.251986 samples/sec accuracy=37.635417 loss=2.789642 lr=0.074041 Epoch[089] Batch [0499]/[3760] Speed: 97.498346 samples/sec accuracy=37.506250 loss=2.795268 lr=0.074029 Epoch[089] Batch [0549]/[3760] Speed: 96.623490 samples/sec accuracy=37.613636 loss=2.793379 lr=0.074018 Epoch[089] Batch [0599]/[3760] Speed: 98.521681 samples/sec accuracy=37.497396 loss=2.795846 lr=0.074007 Epoch[089] Batch [0649]/[3760] Speed: 95.999219 samples/sec accuracy=37.507212 loss=2.794646 lr=0.073995 Epoch[089] Batch [0699]/[3760] Speed: 98.519451 samples/sec accuracy=37.464286 loss=2.793625 lr=0.073984 Epoch[089] Batch [0749]/[3760] Speed: 96.966582 samples/sec accuracy=37.491667 loss=2.794728 lr=0.073973 Epoch[089] Batch [0799]/[3760] Speed: 98.074562 samples/sec accuracy=37.457031 loss=2.795127 lr=0.073962 Epoch[089] Batch [0849]/[3760] Speed: 96.000528 samples/sec accuracy=37.375000 loss=2.798834 lr=0.073950 Epoch[089] Batch [0899]/[3760] Speed: 98.959190 samples/sec accuracy=37.407986 loss=2.798498 lr=0.073939 Epoch[089] Batch [0949]/[3760] Speed: 96.522805 samples/sec accuracy=37.375000 loss=2.799901 lr=0.073928 Epoch[089] Batch [0999]/[3760] Speed: 96.973917 samples/sec accuracy=37.278125 loss=2.800257 lr=0.073916 Epoch[089] Batch [1049]/[3760] Speed: 97.263521 samples/sec accuracy=37.266369 loss=2.801011 lr=0.073905 Epoch[089] Batch [1099]/[3760] Speed: 96.894179 samples/sec accuracy=37.272727 loss=2.799105 lr=0.073894 Epoch[089] Batch [1149]/[3760] Speed: 99.146560 samples/sec accuracy=37.251359 loss=2.800920 lr=0.073882 Epoch[089] Batch [1199]/[3760] Speed: 96.281893 samples/sec accuracy=37.272135 loss=2.801854 lr=0.073871 Epoch[089] Batch [1249]/[3760] Speed: 98.436281 samples/sec accuracy=37.221250 loss=2.806105 lr=0.073860 Epoch[089] Batch [1299]/[3760] Speed: 97.407236 samples/sec accuracy=37.197115 loss=2.808093 lr=0.073848 Epoch[089] Batch [1349]/[3760] Speed: 95.651892 samples/sec accuracy=37.192130 loss=2.808086 lr=0.073837 Epoch[089] Batch [1399]/[3760] Speed: 99.153992 samples/sec accuracy=37.215402 loss=2.807730 lr=0.073826 Epoch[089] Batch [1449]/[3760] Speed: 98.825181 samples/sec accuracy=37.190733 loss=2.810264 lr=0.073814 Epoch[089] Batch [1499]/[3760] Speed: 97.304073 samples/sec accuracy=37.211458 loss=2.810036 lr=0.073803 Epoch[089] Batch [1549]/[3760] Speed: 98.238343 samples/sec accuracy=37.244960 loss=2.809910 lr=0.073792 Epoch[089] Batch [1599]/[3760] Speed: 97.870346 samples/sec accuracy=37.187500 loss=2.812518 lr=0.073780 Epoch[089] Batch [1649]/[3760] Speed: 97.892253 samples/sec accuracy=37.141098 loss=2.814508 lr=0.073769 Epoch[089] Batch [1699]/[3760] Speed: 97.183013 samples/sec accuracy=37.104779 loss=2.815922 lr=0.073758 Epoch[089] Batch [1749]/[3760] Speed: 97.087370 samples/sec accuracy=37.109821 loss=2.816862 lr=0.073746 Epoch[089] Batch [1799]/[3760] Speed: 97.935926 samples/sec accuracy=37.085069 loss=2.817191 lr=0.073735 Epoch[089] Batch [1849]/[3760] Speed: 98.991121 samples/sec accuracy=37.090372 loss=2.818394 lr=0.073723 Epoch[089] Batch [1899]/[3760] Speed: 96.666650 samples/sec accuracy=37.048520 loss=2.818502 lr=0.073712 Epoch[089] Batch [1949]/[3760] Speed: 98.566091 samples/sec accuracy=37.017628 loss=2.820130 lr=0.073701 Epoch[089] Batch [1999]/[3760] Speed: 98.115032 samples/sec accuracy=37.037500 loss=2.819821 lr=0.073689 Epoch[089] Batch [2049]/[3760] Speed: 98.220497 samples/sec accuracy=37.030488 loss=2.818669 lr=0.073678 Epoch[089] Batch [2099]/[3760] Speed: 96.678040 samples/sec accuracy=37.019345 loss=2.818536 lr=0.073667 Epoch[089] Batch [2149]/[3760] Speed: 98.473082 samples/sec accuracy=37.019622 loss=2.819310 lr=0.073655 Epoch[089] Batch [2199]/[3760] Speed: 97.412604 samples/sec accuracy=37.021307 loss=2.818716 lr=0.073644 Epoch[089] Batch [2249]/[3760] Speed: 97.208038 samples/sec accuracy=37.000694 loss=2.820519 lr=0.073633 Epoch[089] Batch [2299]/[3760] Speed: 97.684613 samples/sec accuracy=36.992527 loss=2.820982 lr=0.073621 Epoch[089] Batch [2349]/[3760] Speed: 97.865852 samples/sec accuracy=36.990691 loss=2.820467 lr=0.073610 Epoch[089] Batch [2399]/[3760] Speed: 97.796683 samples/sec accuracy=36.981771 loss=2.821066 lr=0.073598 Epoch[089] Batch [2449]/[3760] Speed: 97.768068 samples/sec accuracy=37.032526 loss=2.820027 lr=0.073587 Epoch[089] Batch [2499]/[3760] Speed: 96.951042 samples/sec accuracy=37.023750 loss=2.820143 lr=0.073576 Epoch[089] Batch [2549]/[3760] Speed: 98.395908 samples/sec accuracy=37.027574 loss=2.819409 lr=0.073564 Epoch[089] Batch [2599]/[3760] Speed: 95.857274 samples/sec accuracy=37.051082 loss=2.818807 lr=0.073553 Epoch[089] Batch [2649]/[3760] Speed: 98.315452 samples/sec accuracy=37.051297 loss=2.819696 lr=0.073542 Epoch[089] Batch [2699]/[3760] Speed: 97.146467 samples/sec accuracy=37.027199 loss=2.820868 lr=0.073530 Epoch[089] Batch [2749]/[3760] Speed: 98.384078 samples/sec accuracy=37.001705 loss=2.821851 lr=0.073519 Epoch[089] Batch [2799]/[3760] Speed: 97.032285 samples/sec accuracy=36.998326 loss=2.822601 lr=0.073507 Epoch[089] Batch [2849]/[3760] Speed: 97.689241 samples/sec accuracy=36.983553 loss=2.822889 lr=0.073496 Epoch[089] Batch [2899]/[3760] Speed: 98.171111 samples/sec accuracy=36.974138 loss=2.823074 lr=0.073485 Epoch[089] Batch [2949]/[3760] Speed: 94.128754 samples/sec accuracy=36.951271 loss=2.823575 lr=0.073473 Epoch[089] Batch [2999]/[3760] Speed: 98.593372 samples/sec accuracy=36.966146 loss=2.822902 lr=0.073462 Epoch[089] Batch [3049]/[3760] Speed: 97.594452 samples/sec accuracy=36.956455 loss=2.823130 lr=0.073451 Epoch[089] Batch [3099]/[3760] Speed: 97.783608 samples/sec accuracy=36.963206 loss=2.823224 lr=0.073439 Epoch[089] Batch [3149]/[3760] Speed: 97.542658 samples/sec accuracy=36.966270 loss=2.823471 lr=0.073428 Epoch[089] Batch [3199]/[3760] Speed: 97.608613 samples/sec accuracy=36.962891 loss=2.823891 lr=0.073416 Epoch[089] Batch [3249]/[3760] Speed: 97.511465 samples/sec accuracy=36.953365 loss=2.824870 lr=0.073405 Epoch[089] Batch [3299]/[3760] Speed: 97.776105 samples/sec accuracy=36.947443 loss=2.824793 lr=0.073394 Epoch[089] Batch [3349]/[3760] Speed: 97.465416 samples/sec accuracy=36.951026 loss=2.824280 lr=0.073382 Epoch[089] Batch [3399]/[3760] Speed: 97.077008 samples/sec accuracy=36.951746 loss=2.823900 lr=0.073371 Epoch[089] Batch [3449]/[3760] Speed: 98.534531 samples/sec accuracy=36.922554 loss=2.825009 lr=0.073359 Epoch[089] Batch [3499]/[3760] Speed: 96.989143 samples/sec accuracy=36.947768 loss=2.824245 lr=0.073348 Epoch[089] Batch [3549]/[3760] Speed: 99.298672 samples/sec accuracy=36.909331 loss=2.825613 lr=0.073337 Epoch[089] Batch [3599]/[3760] Speed: 96.727944 samples/sec accuracy=36.907552 loss=2.825370 lr=0.073325 Epoch[089] Batch [3649]/[3760] Speed: 97.671400 samples/sec accuracy=36.892551 loss=2.826170 lr=0.073314 Epoch[089] Batch [3699]/[3760] Speed: 96.604238 samples/sec accuracy=36.911318 loss=2.826110 lr=0.073302 Epoch[089] Batch [3749]/[3760] Speed: 109.952344 samples/sec accuracy=36.908750 loss=2.827229 lr=0.073291 Batch [0049]/[0303]: acc-top1=36.781250 acc-top5=63.187500 Batch [0099]/[0303]: acc-top1=33.890625 acc-top5=60.312500 Batch [0149]/[0303]: acc-top1=35.458333 acc-top5=61.760417 Batch [0199]/[0303]: acc-top1=38.195312 acc-top5=63.796875 Batch [0249]/[0303]: acc-top1=37.706250 acc-top5=63.887500 Batch [0299]/[0303]: acc-top1=37.031250 acc-top5=63.739583 [Epoch 089] training: accuracy=36.904089 loss=2.827471 [Epoch 089] speed: 97 samples/sec time cost: 2671.685417 [Epoch 089] validation: acc-top1=37.035891 acc-top5=63.737624 loss=3.003648 Epoch[090] Batch [0049]/[3759] Speed: 68.293259 samples/sec accuracy=36.093750 loss=2.850142 lr=0.073277 Epoch[090] Batch [0099]/[3759] Speed: 93.974513 samples/sec accuracy=36.312500 loss=2.844764 lr=0.073266 Epoch[090] Batch [0149]/[3759] Speed: 97.965901 samples/sec accuracy=36.270833 loss=2.839101 lr=0.073254 Epoch[090] Batch [0199]/[3759] Speed: 95.477260 samples/sec accuracy=36.429688 loss=2.832173 lr=0.073243 Epoch[090] Batch [0249]/[3759] Speed: 97.234823 samples/sec accuracy=36.600000 loss=2.827833 lr=0.073232 Epoch[090] Batch [0299]/[3759] Speed: 97.326962 samples/sec accuracy=36.838542 loss=2.826165 lr=0.073220 Epoch[090] Batch [0349]/[3759] Speed: 98.140124 samples/sec accuracy=36.910714 loss=2.824932 lr=0.073209 Epoch[090] Batch [0399]/[3759] Speed: 97.196199 samples/sec accuracy=36.890625 loss=2.822325 lr=0.073197 Epoch[090] Batch [0449]/[3759] Speed: 96.937954 samples/sec accuracy=36.812500 loss=2.830626 lr=0.073186 Epoch[090] Batch [0499]/[3759] Speed: 98.127956 samples/sec accuracy=36.737500 loss=2.835440 lr=0.073174 Epoch[090] Batch [0549]/[3759] Speed: 97.921775 samples/sec accuracy=36.767045 loss=2.833933 lr=0.073163 Epoch[090] Batch [0599]/[3759] Speed: 97.275749 samples/sec accuracy=36.781250 loss=2.833939 lr=0.073152 Epoch[090] Batch [0649]/[3759] Speed: 99.218522 samples/sec accuracy=36.771635 loss=2.832596 lr=0.073140 Epoch[090] Batch [0699]/[3759] Speed: 97.129639 samples/sec accuracy=36.741071 loss=2.830070 lr=0.073129 Epoch[090] Batch [0749]/[3759] Speed: 98.077082 samples/sec accuracy=36.777083 loss=2.829100 lr=0.073117 Epoch[090] Batch [0799]/[3759] Speed: 96.188400 samples/sec accuracy=36.867188 loss=2.824436 lr=0.073106 Epoch[090] Batch [0849]/[3759] Speed: 97.940472 samples/sec accuracy=36.867647 loss=2.826509 lr=0.073094 Epoch[090] Batch [0899]/[3759] Speed: 97.268851 samples/sec accuracy=36.802083 loss=2.827469 lr=0.073083 Epoch[090] 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accuracy=36.818080 loss=2.826385 lr=0.072968 Epoch[090] Batch [1449]/[3759] Speed: 98.160961 samples/sec accuracy=36.808190 loss=2.826891 lr=0.072957 Epoch[090] Batch [1499]/[3759] Speed: 95.718271 samples/sec accuracy=36.806250 loss=2.826603 lr=0.072946 Epoch[090] Batch [1549]/[3759] Speed: 98.827997 samples/sec accuracy=36.807460 loss=2.825727 lr=0.072934 Epoch[090] Batch [1599]/[3759] Speed: 97.309082 samples/sec accuracy=36.799805 loss=2.825023 lr=0.072923 Epoch[090] Batch [1649]/[3759] Speed: 98.573055 samples/sec accuracy=36.788826 loss=2.825498 lr=0.072911 Epoch[090] Batch [1699]/[3759] Speed: 96.635302 samples/sec accuracy=36.798713 loss=2.825140 lr=0.072900 Epoch[090] Batch [1749]/[3759] Speed: 98.159644 samples/sec accuracy=36.819643 loss=2.824694 lr=0.072888 Epoch[090] Batch [1799]/[3759] Speed: 97.048956 samples/sec accuracy=36.820312 loss=2.824146 lr=0.072877 Epoch[090] Batch [1849]/[3759] Speed: 97.704009 samples/sec accuracy=36.804899 loss=2.824756 lr=0.072865 Epoch[090] 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accuracy=36.951463 loss=2.823628 lr=0.072751 Epoch[090] Batch [2399]/[3759] Speed: 95.433357 samples/sec accuracy=36.921875 loss=2.823792 lr=0.072739 Epoch[090] Batch [2449]/[3759] Speed: 98.776058 samples/sec accuracy=36.939413 loss=2.823579 lr=0.072728 Epoch[090] Batch [2499]/[3759] Speed: 97.526872 samples/sec accuracy=36.955625 loss=2.823381 lr=0.072716 Epoch[090] Batch [2549]/[3759] Speed: 97.083719 samples/sec accuracy=36.958333 loss=2.823407 lr=0.072705 Epoch[090] Batch [2599]/[3759] Speed: 96.559557 samples/sec accuracy=36.957332 loss=2.824588 lr=0.072693 Epoch[090] Batch [2649]/[3759] Speed: 97.208887 samples/sec accuracy=36.931604 loss=2.824674 lr=0.072682 Epoch[090] Batch [2699]/[3759] Speed: 97.488693 samples/sec accuracy=36.951389 loss=2.824448 lr=0.072670 Epoch[090] Batch [2749]/[3759] Speed: 97.456499 samples/sec accuracy=36.905114 loss=2.825793 lr=0.072659 Epoch[090] Batch [2799]/[3759] Speed: 96.255500 samples/sec accuracy=36.916853 loss=2.825665 lr=0.072647 Epoch[090] Batch [2849]/[3759] Speed: 97.547550 samples/sec accuracy=36.930921 loss=2.826167 lr=0.072636 Epoch[090] Batch [2899]/[3759] Speed: 97.819174 samples/sec accuracy=36.907866 loss=2.826999 lr=0.072624 Epoch[090] Batch [2949]/[3759] Speed: 97.349859 samples/sec accuracy=36.924788 loss=2.826663 lr=0.072613 Epoch[090] Batch [2999]/[3759] Speed: 97.400365 samples/sec accuracy=36.929688 loss=2.826782 lr=0.072601 Epoch[090] Batch [3049]/[3759] Speed: 97.173717 samples/sec accuracy=36.927254 loss=2.826853 lr=0.072590 Epoch[090] Batch [3099]/[3759] Speed: 98.552248 samples/sec accuracy=36.920867 loss=2.826815 lr=0.072578 Epoch[090] Batch [3149]/[3759] Speed: 95.483775 samples/sec accuracy=36.939980 loss=2.825975 lr=0.072567 Epoch[090] Batch [3199]/[3759] Speed: 97.989250 samples/sec accuracy=36.917480 loss=2.827348 lr=0.072555 Epoch[090] Batch [3249]/[3759] Speed: 96.822510 samples/sec accuracy=36.925000 loss=2.826391 lr=0.072544 Epoch[090] Batch [3299]/[3759] Speed: 95.510007 samples/sec accuracy=36.919508 loss=2.826415 lr=0.072532 Epoch[090] Batch [3349]/[3759] Speed: 98.691221 samples/sec accuracy=36.936101 loss=2.825376 lr=0.072521 Epoch[090] Batch [3399]/[3759] Speed: 98.410878 samples/sec accuracy=36.943934 loss=2.826170 lr=0.072509 Epoch[090] Batch [3449]/[3759] Speed: 97.558837 samples/sec accuracy=36.944293 loss=2.826043 lr=0.072497 Epoch[090] Batch [3499]/[3759] Speed: 96.907721 samples/sec accuracy=36.950893 loss=2.826091 lr=0.072486 Epoch[090] Batch [3549]/[3759] Speed: 96.148077 samples/sec accuracy=36.944542 loss=2.826041 lr=0.072474 Epoch[090] Batch [3599]/[3759] Speed: 98.140404 samples/sec accuracy=36.937934 loss=2.826322 lr=0.072463 Epoch[090] Batch [3649]/[3759] Speed: 97.255491 samples/sec accuracy=36.946918 loss=2.826602 lr=0.072451 Epoch[090] Batch [3699]/[3759] Speed: 97.556291 samples/sec accuracy=36.945524 loss=2.826740 lr=0.072440 Epoch[090] Batch [3749]/[3759] Speed: 109.447276 samples/sec accuracy=36.930417 loss=2.827446 lr=0.072428 Batch [0049]/[0303]: acc-top1=37.437500 acc-top5=63.312500 Batch [0099]/[0303]: acc-top1=35.031250 acc-top5=61.796875 Batch [0149]/[0303]: acc-top1=35.770833 acc-top5=62.375000 Batch [0199]/[0303]: acc-top1=38.875000 acc-top5=64.507812 Batch [0249]/[0303]: acc-top1=38.556250 acc-top5=64.606250 Batch [0299]/[0303]: acc-top1=38.067708 acc-top5=64.380208 [Epoch 090] training: accuracy=36.934274 loss=2.827435 [Epoch 090] speed: 96 samples/sec time cost: 2677.088050 [Epoch 090] validation: acc-top1=38.031147 acc-top5=64.356436 loss=2.917761 Epoch[091] Batch [0049]/[3760] Speed: 67.279247 samples/sec accuracy=35.875000 loss=2.831365 lr=0.072415 Epoch[091] Batch [0099]/[3760] Speed: 93.153045 samples/sec accuracy=35.656250 loss=2.841606 lr=0.072403 Epoch[091] Batch [0149]/[3760] Speed: 98.447014 samples/sec accuracy=35.791667 loss=2.839702 lr=0.072392 Epoch[091] Batch [0199]/[3760] Speed: 95.601516 samples/sec accuracy=36.679688 loss=2.800460 lr=0.072380 Epoch[091] Batch [0249]/[3760] Speed: 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lr=0.072265 Epoch[091] Batch [0749]/[3760] Speed: 97.394351 samples/sec accuracy=37.075000 loss=2.805021 lr=0.072253 Epoch[091] Batch [0799]/[3760] Speed: 95.691051 samples/sec accuracy=37.132812 loss=2.801579 lr=0.072242 Epoch[091] Batch [0849]/[3760] Speed: 98.635528 samples/sec accuracy=37.125000 loss=2.801318 lr=0.072230 Epoch[091] Batch [0899]/[3760] Speed: 97.994763 samples/sec accuracy=37.220486 loss=2.798931 lr=0.072219 Epoch[091] Batch [0949]/[3760] Speed: 97.398101 samples/sec accuracy=37.184211 loss=2.802866 lr=0.072207 Epoch[091] Batch [0999]/[3760] Speed: 97.098826 samples/sec accuracy=37.201563 loss=2.802501 lr=0.072195 Epoch[091] Batch [1049]/[3760] Speed: 97.147152 samples/sec accuracy=37.169643 loss=2.803695 lr=0.072184 Epoch[091] Batch [1099]/[3760] Speed: 97.748798 samples/sec accuracy=37.139205 loss=2.804288 lr=0.072172 Epoch[091] Batch [1149]/[3760] Speed: 97.581063 samples/sec accuracy=37.054348 loss=2.805843 lr=0.072161 Epoch[091] Batch [1199]/[3760] Speed: 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lr=0.072045 Epoch[091] Batch [1699]/[3760] Speed: 95.652892 samples/sec accuracy=37.079963 loss=2.809583 lr=0.072033 Epoch[091] Batch [1749]/[3760] Speed: 97.408066 samples/sec accuracy=37.128571 loss=2.807859 lr=0.072022 Epoch[091] Batch [1799]/[3760] Speed: 97.225410 samples/sec accuracy=37.098090 loss=2.809454 lr=0.072010 Epoch[091] Batch [1849]/[3760] Speed: 97.448704 samples/sec accuracy=37.091216 loss=2.810410 lr=0.071999 Epoch[091] Batch [1899]/[3760] Speed: 97.438250 samples/sec accuracy=37.088816 loss=2.811478 lr=0.071987 Epoch[091] Batch [1949]/[3760] Speed: 97.881492 samples/sec accuracy=37.083333 loss=2.811797 lr=0.071976 Epoch[091] Batch [1999]/[3760] Speed: 96.311243 samples/sec accuracy=37.069531 loss=2.812957 lr=0.071964 Epoch[091] Batch [2049]/[3760] Speed: 98.033747 samples/sec accuracy=37.035061 loss=2.813478 lr=0.071952 Epoch[091] Batch [2099]/[3760] Speed: 95.561615 samples/sec accuracy=37.025298 loss=2.812806 lr=0.071941 Epoch[091] Batch [2149]/[3760] Speed: 97.835662 samples/sec accuracy=37.029070 loss=2.811745 lr=0.071929 Epoch[091] Batch [2199]/[3760] Speed: 98.038501 samples/sec accuracy=37.046875 loss=2.811172 lr=0.071918 Epoch[091] Batch [2249]/[3760] Speed: 95.725495 samples/sec accuracy=37.077778 loss=2.810635 lr=0.071906 Epoch[091] Batch [2299]/[3760] Speed: 97.804921 samples/sec accuracy=37.074049 loss=2.811101 lr=0.071894 Epoch[091] Batch [2349]/[3760] Speed: 98.028852 samples/sec accuracy=37.077128 loss=2.811018 lr=0.071883 Epoch[091] Batch [2399]/[3760] Speed: 96.943404 samples/sec accuracy=37.057292 loss=2.812310 lr=0.071871 Epoch[091] Batch [2449]/[3760] Speed: 96.734991 samples/sec accuracy=37.065051 loss=2.812150 lr=0.071860 Epoch[091] Batch [2499]/[3760] Speed: 97.521714 samples/sec accuracy=37.063750 loss=2.811197 lr=0.071848 Epoch[091] Batch [2549]/[3760] Speed: 96.894347 samples/sec accuracy=37.068015 loss=2.811256 lr=0.071836 Epoch[091] Batch [2599]/[3760] Speed: 97.043102 samples/sec accuracy=37.070312 loss=2.811114 lr=0.071825 Epoch[091] Batch [2649]/[3760] Speed: 97.370085 samples/sec accuracy=37.106132 loss=2.810651 lr=0.071813 Epoch[091] Batch [2699]/[3760] Speed: 97.758659 samples/sec accuracy=37.155093 loss=2.808805 lr=0.071802 Epoch[091] Batch [2749]/[3760] Speed: 95.969860 samples/sec accuracy=37.156818 loss=2.808877 lr=0.071790 Epoch[091] Batch [2799]/[3760] Speed: 96.570588 samples/sec accuracy=37.117746 loss=2.810499 lr=0.071778 Epoch[091] Batch [2849]/[3760] Speed: 97.863844 samples/sec accuracy=37.095395 loss=2.810538 lr=0.071767 Epoch[091] Batch [2899]/[3760] Speed: 96.862844 samples/sec accuracy=37.094828 loss=2.810814 lr=0.071755 Epoch[091] Batch [2949]/[3760] Speed: 97.573888 samples/sec accuracy=37.076801 loss=2.811325 lr=0.071744 Epoch[091] Batch [2999]/[3760] Speed: 96.109519 samples/sec accuracy=37.069792 loss=2.812030 lr=0.071732 Epoch[091] Batch [3049]/[3760] Speed: 97.429432 samples/sec accuracy=37.044570 loss=2.812294 lr=0.071720 Epoch[091] Batch [3099]/[3760] Speed: 97.686180 samples/sec accuracy=37.034778 loss=2.812632 lr=0.071709 Epoch[091] Batch [3149]/[3760] Speed: 97.635368 samples/sec accuracy=37.042163 loss=2.813084 lr=0.071697 Epoch[091] Batch [3199]/[3760] Speed: 96.464843 samples/sec accuracy=37.046387 loss=2.813832 lr=0.071686 Epoch[091] Batch [3249]/[3760] Speed: 97.553461 samples/sec accuracy=37.027404 loss=2.814793 lr=0.071674 Epoch[091] Batch [3299]/[3760] Speed: 96.829486 samples/sec accuracy=37.038352 loss=2.814616 lr=0.071662 Epoch[091] Batch [3349]/[3760] Speed: 96.750719 samples/sec accuracy=37.027052 loss=2.815177 lr=0.071651 Epoch[091] Batch [3399]/[3760] Speed: 97.479610 samples/sec accuracy=37.022518 loss=2.815328 lr=0.071639 Epoch[091] Batch [3449]/[3760] Speed: 98.080343 samples/sec accuracy=37.035779 loss=2.814994 lr=0.071627 Epoch[091] Batch [3499]/[3760] Speed: 96.623358 samples/sec accuracy=37.037054 loss=2.814711 lr=0.071616 Epoch[091] Batch [3549]/[3760] Speed: 96.915985 samples/sec accuracy=37.044014 loss=2.815370 lr=0.071604 Epoch[091] Batch [3599]/[3760] Speed: 97.290611 samples/sec accuracy=37.048177 loss=2.815116 lr=0.071592 Epoch[091] Batch [3649]/[3760] Speed: 97.364750 samples/sec accuracy=37.036815 loss=2.815294 lr=0.071581 Epoch[091] Batch [3699]/[3760] Speed: 95.698074 samples/sec accuracy=37.014358 loss=2.816264 lr=0.071569 Epoch[091] Batch [3749]/[3760] Speed: 110.783836 samples/sec accuracy=37.021250 loss=2.816056 lr=0.071558 Batch [0049]/[0303]: acc-top1=37.625000 acc-top5=63.500000 Batch [0099]/[0303]: acc-top1=35.296875 acc-top5=60.953125 Batch [0149]/[0303]: acc-top1=36.302083 acc-top5=62.343750 Batch [0199]/[0303]: acc-top1=39.343750 acc-top5=64.359375 Batch [0249]/[0303]: acc-top1=38.562500 acc-top5=64.262500 Batch [0299]/[0303]: acc-top1=37.697917 acc-top5=64.036458 [Epoch 091] training: accuracy=37.013381 loss=2.816364 [Epoch 091] speed: 96 samples/sec time cost: 2680.261450 [Epoch 091] validation: acc-top1=37.670173 acc-top5=64.052186 loss=2.942667 Epoch[092] Batch 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accuracy=37.221983 loss=2.801819 lr=0.071217 Epoch[092] Batch [1499]/[3760] Speed: 97.568093 samples/sec accuracy=37.236458 loss=2.801578 lr=0.071205 Epoch[092] Batch [1549]/[3760] Speed: 96.457901 samples/sec accuracy=37.207661 loss=2.802435 lr=0.071194 Epoch[092] Batch [1599]/[3760] Speed: 96.496800 samples/sec accuracy=37.179688 loss=2.803659 lr=0.071182 Epoch[092] Batch [1649]/[3760] Speed: 97.333423 samples/sec accuracy=37.218750 loss=2.802374 lr=0.071170 Epoch[092] Batch [1699]/[3760] Speed: 97.351682 samples/sec accuracy=37.208640 loss=2.802534 lr=0.071159 Epoch[092] Batch [1749]/[3760] Speed: 97.479906 samples/sec accuracy=37.197321 loss=2.802041 lr=0.071147 Epoch[092] Batch [1799]/[3760] Speed: 96.982500 samples/sec accuracy=37.199653 loss=2.801435 lr=0.071135 Epoch[092] Batch [1849]/[3760] Speed: 96.980483 samples/sec accuracy=37.177365 loss=2.802492 lr=0.071124 Epoch[092] Batch [1899]/[3760] Speed: 96.894562 samples/sec accuracy=37.148026 loss=2.804036 lr=0.071112 Epoch[092] 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accuracy=37.183594 loss=2.806470 lr=0.070995 Epoch[092] Batch [2449]/[3760] Speed: 97.691779 samples/sec accuracy=37.164541 loss=2.807202 lr=0.070983 Epoch[092] Batch [2499]/[3760] Speed: 96.053501 samples/sec accuracy=37.196250 loss=2.806260 lr=0.070972 Epoch[092] Batch [2549]/[3760] Speed: 97.944420 samples/sec accuracy=37.196691 loss=2.806937 lr=0.070960 Epoch[092] Batch [2599]/[3760] Speed: 96.463187 samples/sec accuracy=37.209736 loss=2.806800 lr=0.070948 Epoch[092] Batch [2649]/[3760] Speed: 97.496057 samples/sec accuracy=37.195755 loss=2.807986 lr=0.070936 Epoch[092] Batch [2699]/[3760] Speed: 96.616471 samples/sec accuracy=37.191551 loss=2.807700 lr=0.070925 Epoch[092] Batch [2749]/[3760] Speed: 96.565809 samples/sec accuracy=37.172159 loss=2.808082 lr=0.070913 Epoch[092] Batch [2799]/[3760] Speed: 97.544786 samples/sec accuracy=37.185826 loss=2.807851 lr=0.070901 Epoch[092] Batch [2849]/[3760] Speed: 97.846454 samples/sec accuracy=37.161732 loss=2.808851 lr=0.070890 Epoch[092] Batch [2899]/[3760] Speed: 96.637728 samples/sec accuracy=37.148168 loss=2.809514 lr=0.070878 Epoch[092] Batch [2949]/[3760] Speed: 97.170855 samples/sec accuracy=37.174788 loss=2.808930 lr=0.070866 Epoch[092] Batch [2999]/[3760] Speed: 96.928064 samples/sec accuracy=37.167708 loss=2.809795 lr=0.070854 Epoch[092] Batch [3049]/[3760] Speed: 96.224766 samples/sec accuracy=37.151639 loss=2.810242 lr=0.070843 Epoch[092] Batch [3099]/[3760] Speed: 97.912662 samples/sec accuracy=37.164315 loss=2.810042 lr=0.070831 Epoch[092] Batch [3149]/[3760] Speed: 97.361097 samples/sec accuracy=37.154266 loss=2.810642 lr=0.070819 Epoch[092] Batch [3199]/[3760] Speed: 97.988677 samples/sec accuracy=37.147461 loss=2.811826 lr=0.070808 Epoch[092] Batch [3249]/[3760] Speed: 95.578159 samples/sec accuracy=37.143269 loss=2.811742 lr=0.070796 Epoch[092] Batch [3299]/[3760] Speed: 97.793386 samples/sec accuracy=37.146780 loss=2.811662 lr=0.070784 Epoch[092] Batch [3349]/[3760] Speed: 96.475799 samples/sec accuracy=37.177705 loss=2.810609 lr=0.070772 Epoch[092] Batch [3399]/[3760] Speed: 97.552513 samples/sec accuracy=37.164522 loss=2.811247 lr=0.070761 Epoch[092] Batch [3449]/[3760] Speed: 96.306385 samples/sec accuracy=37.156703 loss=2.811543 lr=0.070749 Epoch[092] Batch [3499]/[3760] Speed: 97.135201 samples/sec accuracy=37.154911 loss=2.811595 lr=0.070737 Epoch[092] Batch [3549]/[3760] Speed: 96.948122 samples/sec accuracy=37.166813 loss=2.811446 lr=0.070725 Epoch[092] Batch [3599]/[3760] Speed: 95.935181 samples/sec accuracy=37.143663 loss=2.812196 lr=0.070714 Epoch[092] Batch [3649]/[3760] Speed: 98.377849 samples/sec accuracy=37.139127 loss=2.812126 lr=0.070702 Epoch[092] Batch [3699]/[3760] Speed: 96.944999 samples/sec accuracy=37.152872 loss=2.811469 lr=0.070690 Epoch[092] Batch [3749]/[3760] Speed: 109.866293 samples/sec accuracy=37.149167 loss=2.812059 lr=0.070678 Batch [0049]/[0303]: acc-top1=37.281250 acc-top5=62.187500 Batch [0099]/[0303]: acc-top1=34.750000 acc-top5=60.093750 Batch [0149]/[0303]: acc-top1=35.020833 acc-top5=60.468750 Batch [0199]/[0303]: acc-top1=37.843750 acc-top5=63.117188 Batch [0249]/[0303]: acc-top1=37.243750 acc-top5=62.925000 Batch [0299]/[0303]: acc-top1=36.427083 acc-top5=62.640625 [Epoch 092] training: accuracy=37.145944 loss=2.811794 [Epoch 092] speed: 96 samples/sec time cost: 2683.971184 [Epoch 092] validation: acc-top1=36.453177 acc-top5=62.608292 loss=3.064624 Epoch[093] Batch [0049]/[3759] Speed: 66.650942 samples/sec accuracy=38.812500 loss=2.742670 lr=0.070664 Epoch[093] Batch [0099]/[3759] Speed: 94.076601 samples/sec accuracy=37.781250 loss=2.770657 lr=0.070653 Epoch[093] Batch [0149]/[3759] Speed: 98.138222 samples/sec accuracy=38.239583 loss=2.767873 lr=0.070641 Epoch[093] Batch [0199]/[3759] Speed: 93.925078 samples/sec accuracy=37.812500 loss=2.790392 lr=0.070629 Epoch[093] Batch [0249]/[3759] Speed: 99.367983 samples/sec accuracy=37.718750 loss=2.799912 lr=0.070617 Epoch[093] Batch [0299]/[3759] 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loss=2.791879 lr=0.070500 Epoch[093] Batch [0799]/[3759] Speed: 96.828844 samples/sec accuracy=37.628906 loss=2.788027 lr=0.070488 Epoch[093] Batch [0849]/[3759] Speed: 97.722410 samples/sec accuracy=37.658088 loss=2.786730 lr=0.070476 Epoch[093] Batch [0899]/[3759] Speed: 97.172566 samples/sec accuracy=37.581597 loss=2.790286 lr=0.070465 Epoch[093] Batch [0949]/[3759] Speed: 97.361724 samples/sec accuracy=37.521382 loss=2.792351 lr=0.070453 Epoch[093] Batch [0999]/[3759] Speed: 96.568959 samples/sec accuracy=37.459375 loss=2.795577 lr=0.070441 Epoch[093] Batch [1049]/[3759] Speed: 97.161862 samples/sec accuracy=37.438988 loss=2.795539 lr=0.070429 Epoch[093] Batch [1099]/[3759] Speed: 98.268690 samples/sec accuracy=37.454545 loss=2.792813 lr=0.070417 Epoch[093] Batch [1149]/[3759] Speed: 95.773343 samples/sec accuracy=37.398098 loss=2.795767 lr=0.070406 Epoch[093] Batch [1199]/[3759] Speed: 97.972543 samples/sec accuracy=37.364583 loss=2.797062 lr=0.070394 Epoch[093] Batch 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accuracy=37.413325 loss=2.796371 lr=0.070052 Epoch[093] Batch [2699]/[3759] Speed: 97.202049 samples/sec accuracy=37.438657 loss=2.795876 lr=0.070040 Epoch[093] Batch [2749]/[3759] Speed: 97.663358 samples/sec accuracy=37.432386 loss=2.796128 lr=0.070028 Epoch[093] Batch [2799]/[3759] Speed: 97.699769 samples/sec accuracy=37.438058 loss=2.797051 lr=0.070016 Epoch[093] Batch [2849]/[3759] Speed: 97.726880 samples/sec accuracy=37.441338 loss=2.796597 lr=0.070005 Epoch[093] Batch [2899]/[3759] Speed: 97.846544 samples/sec accuracy=37.456897 loss=2.795944 lr=0.069993 Epoch[093] Batch [2949]/[3759] Speed: 97.130483 samples/sec accuracy=37.470339 loss=2.795679 lr=0.069981 Epoch[093] Batch [2999]/[3759] Speed: 98.081088 samples/sec accuracy=37.481250 loss=2.795400 lr=0.069969 Epoch[093] Batch [3049]/[3759] Speed: 97.501461 samples/sec accuracy=37.460553 loss=2.795542 lr=0.069957 Epoch[093] Batch [3099]/[3759] Speed: 97.873107 samples/sec accuracy=37.463206 loss=2.795703 lr=0.069945 Epoch[093] 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accuracy=37.434462 loss=2.799307 lr=0.069827 Epoch[093] Batch [3649]/[3759] Speed: 97.490619 samples/sec accuracy=37.409675 loss=2.800132 lr=0.069815 Epoch[093] Batch [3699]/[3759] Speed: 97.658099 samples/sec accuracy=37.423564 loss=2.800010 lr=0.069803 Epoch[093] Batch [3749]/[3759] Speed: 110.794698 samples/sec accuracy=37.417917 loss=2.800206 lr=0.069792 Batch [0049]/[0303]: acc-top1=38.218750 acc-top5=64.250000 Batch [0099]/[0303]: acc-top1=34.593750 acc-top5=61.109375 Batch [0149]/[0303]: acc-top1=36.364583 acc-top5=62.281250 Batch [0199]/[0303]: acc-top1=39.273438 acc-top5=64.789062 Batch [0249]/[0303]: acc-top1=38.837500 acc-top5=64.662500 Batch [0299]/[0303]: acc-top1=37.895833 acc-top5=64.520833 [Epoch 093] training: accuracy=37.420607 loss=2.800050 [Epoch 093] speed: 96 samples/sec time cost: 2677.875818 [Epoch 093] validation: acc-top1=37.974422 acc-top5=64.552393 loss=2.950962 Epoch[094] Batch [0049]/[3760] Speed: 66.904105 samples/sec accuracy=37.593750 loss=2.799535 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lr=0.069327 Epoch[094] Batch [1999]/[3760] Speed: 95.560415 samples/sec accuracy=37.326563 loss=2.794531 lr=0.069315 Epoch[094] Batch [2049]/[3760] Speed: 98.077097 samples/sec accuracy=37.342226 loss=2.794919 lr=0.069303 Epoch[094] Batch [2099]/[3760] Speed: 97.681460 samples/sec accuracy=37.367560 loss=2.793425 lr=0.069291 Epoch[094] Batch [2149]/[3760] Speed: 97.358342 samples/sec accuracy=37.397529 loss=2.792754 lr=0.069279 Epoch[094] Batch [2199]/[3760] Speed: 96.807766 samples/sec accuracy=37.389205 loss=2.792794 lr=0.069267 Epoch[094] Batch [2249]/[3760] Speed: 97.590499 samples/sec accuracy=37.430556 loss=2.791937 lr=0.069255 Epoch[094] Batch [2299]/[3760] Speed: 97.481106 samples/sec accuracy=37.444973 loss=2.790570 lr=0.069243 Epoch[094] Batch [2349]/[3760] Speed: 97.352539 samples/sec accuracy=37.436170 loss=2.791024 lr=0.069231 Epoch[094] Batch [2399]/[3760] Speed: 96.402783 samples/sec accuracy=37.436198 loss=2.790796 lr=0.069219 Epoch[094] Batch [2449]/[3760] Speed: 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lr=0.069100 Epoch[094] Batch [2949]/[3760] Speed: 96.926140 samples/sec accuracy=37.442267 loss=2.792469 lr=0.069088 Epoch[094] Batch [2999]/[3760] Speed: 96.940621 samples/sec accuracy=37.427604 loss=2.792667 lr=0.069076 Epoch[094] Batch [3049]/[3760] Speed: 97.870864 samples/sec accuracy=37.383709 loss=2.795215 lr=0.069065 Epoch[094] Batch [3099]/[3760] Speed: 97.307438 samples/sec accuracy=37.374496 loss=2.795250 lr=0.069053 Epoch[094] Batch [3149]/[3760] Speed: 97.149075 samples/sec accuracy=37.379960 loss=2.795244 lr=0.069041 Epoch[094] Batch [3199]/[3760] Speed: 97.661772 samples/sec accuracy=37.386230 loss=2.794817 lr=0.069029 Epoch[094] Batch [3249]/[3760] Speed: 97.114723 samples/sec accuracy=37.375962 loss=2.795318 lr=0.069017 Epoch[094] Batch [3299]/[3760] Speed: 96.932138 samples/sec accuracy=37.365057 loss=2.795111 lr=0.069005 Epoch[094] Batch [3349]/[3760] Speed: 96.705113 samples/sec accuracy=37.371735 loss=2.795374 lr=0.068993 Epoch[094] Batch [3399]/[3760] Speed: 97.425531 samples/sec accuracy=37.380055 loss=2.794710 lr=0.068981 Epoch[094] Batch [3449]/[3760] Speed: 97.445216 samples/sec accuracy=37.389040 loss=2.794182 lr=0.068969 Epoch[094] Batch [3499]/[3760] Speed: 95.069784 samples/sec accuracy=37.389732 loss=2.794500 lr=0.068957 Epoch[094] Batch [3549]/[3760] Speed: 99.025151 samples/sec accuracy=37.382923 loss=2.794925 lr=0.068945 Epoch[094] Batch [3599]/[3760] Speed: 97.381840 samples/sec accuracy=37.364149 loss=2.796282 lr=0.068933 Epoch[094] Batch [3649]/[3760] Speed: 97.013790 samples/sec accuracy=37.357449 loss=2.796770 lr=0.068921 Epoch[094] Batch [3699]/[3760] Speed: 95.930951 samples/sec accuracy=37.356841 loss=2.797458 lr=0.068909 Epoch[094] Batch [3749]/[3760] Speed: 111.909415 samples/sec accuracy=37.354583 loss=2.797676 lr=0.068897 Batch [0049]/[0303]: acc-top1=36.156250 acc-top5=61.656250 Batch [0099]/[0303]: acc-top1=34.656250 acc-top5=60.359375 Batch [0149]/[0303]: acc-top1=35.218750 acc-top5=61.208333 Batch [0199]/[0303]: acc-top1=37.421875 acc-top5=63.117188 Batch [0249]/[0303]: acc-top1=36.968750 acc-top5=62.931250 Batch [0299]/[0303]: acc-top1=36.442708 acc-top5=62.979167 [Epoch 094] training: accuracy=37.352061 loss=2.797760 [Epoch 094] speed: 96 samples/sec time cost: 2683.557442 [Epoch 094] validation: acc-top1=36.344884 acc-top5=62.933168 loss=3.124977 Epoch[095] Batch [0049]/[3760] Speed: 68.020797 samples/sec accuracy=37.375000 loss=2.756969 lr=0.068883 Epoch[095] Batch [0099]/[3760] Speed: 94.491256 samples/sec accuracy=37.765625 loss=2.749285 lr=0.068871 Epoch[095] Batch [0149]/[3760] Speed: 95.775861 samples/sec accuracy=37.666667 loss=2.759160 lr=0.068859 Epoch[095] Batch [0199]/[3760] Speed: 96.770762 samples/sec accuracy=37.812500 loss=2.764903 lr=0.068847 Epoch[095] Batch [0249]/[3760] Speed: 98.061976 samples/sec accuracy=37.868750 loss=2.767004 lr=0.068835 Epoch[095] Batch [0299]/[3760] Speed: 95.658959 samples/sec accuracy=37.963542 loss=2.767884 lr=0.068823 Epoch[095] Batch 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accuracy=37.673828 loss=2.778848 lr=0.068704 Epoch[095] Batch [0849]/[3760] Speed: 97.009779 samples/sec accuracy=37.680147 loss=2.777611 lr=0.068692 Epoch[095] Batch [0899]/[3760] Speed: 97.393836 samples/sec accuracy=37.737847 loss=2.774675 lr=0.068680 Epoch[095] Batch [0949]/[3760] Speed: 97.716945 samples/sec accuracy=37.720395 loss=2.774557 lr=0.068668 Epoch[095] Batch [0999]/[3760] Speed: 97.687718 samples/sec accuracy=37.654688 loss=2.775284 lr=0.068656 Epoch[095] Batch [1049]/[3760] Speed: 96.812890 samples/sec accuracy=37.627976 loss=2.774159 lr=0.068644 Epoch[095] Batch [1099]/[3760] Speed: 98.386466 samples/sec accuracy=37.639205 loss=2.774934 lr=0.068632 Epoch[095] Batch [1149]/[3760] Speed: 98.656156 samples/sec accuracy=37.650815 loss=2.774469 lr=0.068620 Epoch[095] Batch [1199]/[3760] Speed: 97.887701 samples/sec accuracy=37.696615 loss=2.773184 lr=0.068608 Epoch[095] Batch [1249]/[3760] Speed: 97.100720 samples/sec accuracy=37.693750 loss=2.772525 lr=0.068596 Epoch[095] 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accuracy=37.570205 loss=2.783470 lr=0.068020 Epoch[095] Batch [3699]/[3760] Speed: 97.279051 samples/sec accuracy=37.569257 loss=2.784357 lr=0.068008 Epoch[095] Batch [3749]/[3760] Speed: 110.789221 samples/sec accuracy=37.573333 loss=2.784404 lr=0.067996 Batch [0049]/[0303]: acc-top1=37.968750 acc-top5=63.687500 Batch [0099]/[0303]: acc-top1=36.578125 acc-top5=62.937500 Batch [0149]/[0303]: acc-top1=37.531250 acc-top5=64.343750 Batch [0199]/[0303]: acc-top1=40.898438 acc-top5=66.507812 Batch [0249]/[0303]: acc-top1=40.062500 acc-top5=66.212500 Batch [0299]/[0303]: acc-top1=39.817708 acc-top5=66.468750 [Epoch 095] training: accuracy=37.575216 loss=2.784347 [Epoch 095] speed: 97 samples/sec time cost: 2672.831504 [Epoch 095] validation: acc-top1=39.717409 acc-top5=66.439769 loss=2.784131 Epoch[096] Batch [0049]/[3759] Speed: 66.389785 samples/sec accuracy=39.562500 loss=2.731524 lr=0.067982 Epoch[096] Batch [0099]/[3759] Speed: 93.036552 samples/sec accuracy=39.359375 loss=2.702741 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lr=0.067741 Epoch[096] Batch [1099]/[3759] Speed: 96.937999 samples/sec accuracy=38.151989 loss=2.757392 lr=0.067729 Epoch[096] Batch [1149]/[3759] Speed: 98.351651 samples/sec accuracy=38.120924 loss=2.759217 lr=0.067717 Epoch[096] Batch [1199]/[3759] Speed: 97.960380 samples/sec accuracy=38.143229 loss=2.757758 lr=0.067704 Epoch[096] Batch [1249]/[3759] Speed: 96.800550 samples/sec accuracy=38.111250 loss=2.760345 lr=0.067692 Epoch[096] Batch [1299]/[3759] Speed: 97.074761 samples/sec accuracy=38.061298 loss=2.761230 lr=0.067680 Epoch[096] Batch [1349]/[3759] Speed: 97.524585 samples/sec accuracy=38.059028 loss=2.760847 lr=0.067668 Epoch[096] Batch [1399]/[3759] Speed: 97.552989 samples/sec accuracy=38.081473 loss=2.761507 lr=0.067656 Epoch[096] Batch [1449]/[3759] Speed: 96.464164 samples/sec accuracy=38.109914 loss=2.760196 lr=0.067644 Epoch[096] Batch [1499]/[3759] Speed: 97.578704 samples/sec accuracy=38.066667 loss=2.761751 lr=0.067632 Epoch[096] Batch [1549]/[3759] Speed: 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lr=0.067511 Epoch[096] Batch [2049]/[3759] Speed: 97.681737 samples/sec accuracy=37.943598 loss=2.766233 lr=0.067499 Epoch[096] Batch [2099]/[3759] Speed: 97.890958 samples/sec accuracy=37.950149 loss=2.765395 lr=0.067487 Epoch[096] Batch [2149]/[3759] Speed: 96.459223 samples/sec accuracy=37.918605 loss=2.765977 lr=0.067475 Epoch[096] Batch [2199]/[3759] Speed: 96.474351 samples/sec accuracy=37.899858 loss=2.766369 lr=0.067463 Epoch[096] Batch [2249]/[3759] Speed: 98.052216 samples/sec accuracy=37.899306 loss=2.766126 lr=0.067451 Epoch[096] Batch [2299]/[3759] Speed: 97.657353 samples/sec accuracy=37.923234 loss=2.766145 lr=0.067439 Epoch[096] Batch [2349]/[3759] Speed: 97.433172 samples/sec accuracy=37.894282 loss=2.768519 lr=0.067427 Epoch[096] Batch [2399]/[3759] Speed: 95.881534 samples/sec accuracy=37.916016 loss=2.768258 lr=0.067415 Epoch[096] Batch [2449]/[3759] Speed: 96.882095 samples/sec accuracy=37.935587 loss=2.767400 lr=0.067403 Epoch[096] Batch [2499]/[3759] Speed: 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lr=0.067282 Epoch[096] Batch [2999]/[3759] Speed: 97.322912 samples/sec accuracy=37.878646 loss=2.772635 lr=0.067270 Epoch[096] Batch [3049]/[3759] Speed: 97.929852 samples/sec accuracy=37.877561 loss=2.772603 lr=0.067257 Epoch[096] Batch [3099]/[3759] Speed: 97.571399 samples/sec accuracy=37.870968 loss=2.772225 lr=0.067245 Epoch[096] Batch [3149]/[3759] Speed: 96.343124 samples/sec accuracy=37.895337 loss=2.771387 lr=0.067233 Epoch[096] Batch [3199]/[3759] Speed: 97.323783 samples/sec accuracy=37.894531 loss=2.771346 lr=0.067221 Epoch[096] Batch [3249]/[3759] Speed: 97.373357 samples/sec accuracy=37.880288 loss=2.771851 lr=0.067209 Epoch[096] Batch [3299]/[3759] Speed: 97.515949 samples/sec accuracy=37.889205 loss=2.771824 lr=0.067197 Epoch[096] Batch [3349]/[3759] Speed: 96.243200 samples/sec accuracy=37.880131 loss=2.772643 lr=0.067185 Epoch[096] Batch [3399]/[3759] Speed: 97.153110 samples/sec accuracy=37.878217 loss=2.772463 lr=0.067173 Epoch[096] Batch [3449]/[3759] Speed: 97.119649 samples/sec accuracy=37.880435 loss=2.772779 lr=0.067161 Epoch[096] Batch [3499]/[3759] Speed: 97.173848 samples/sec accuracy=37.881250 loss=2.772179 lr=0.067148 Epoch[096] Batch [3549]/[3759] Speed: 96.976624 samples/sec accuracy=37.874120 loss=2.771872 lr=0.067136 Epoch[096] Batch [3599]/[3759] Speed: 98.383573 samples/sec accuracy=37.871962 loss=2.772315 lr=0.067124 Epoch[096] Batch [3649]/[3759] Speed: 97.465868 samples/sec accuracy=37.852740 loss=2.773236 lr=0.067112 Epoch[096] Batch [3699]/[3759] Speed: 95.884116 samples/sec accuracy=37.847551 loss=2.774084 lr=0.067100 Epoch[096] Batch [3749]/[3759] Speed: 111.949198 samples/sec accuracy=37.832917 loss=2.774660 lr=0.067088 Batch [0049]/[0303]: acc-top1=38.343750 acc-top5=63.750000 Batch [0099]/[0303]: acc-top1=35.343750 acc-top5=62.078125 Batch [0149]/[0303]: acc-top1=36.906250 acc-top5=64.062500 Batch [0199]/[0303]: acc-top1=39.960938 acc-top5=65.914062 Batch [0249]/[0303]: acc-top1=39.300000 acc-top5=65.768750 Batch [0299]/[0303]: acc-top1=38.578125 acc-top5=65.755208 [Epoch 096] training: accuracy=37.828794 loss=2.774668 [Epoch 096] speed: 96 samples/sec time cost: 2680.595639 [Epoch 096] validation: acc-top1=38.536510 acc-top5=65.743606 loss=2.860702 Epoch[097] Batch [0049]/[3760] Speed: 66.818097 samples/sec accuracy=36.843750 loss=2.815205 lr=0.067074 Epoch[097] Batch [0099]/[3760] Speed: 95.844759 samples/sec accuracy=37.265625 loss=2.778987 lr=0.067061 Epoch[097] Batch [0149]/[3760] Speed: 96.702220 samples/sec accuracy=37.312500 loss=2.782162 lr=0.067049 Epoch[097] Batch [0199]/[3760] Speed: 96.517827 samples/sec accuracy=37.484375 loss=2.780547 lr=0.067037 Epoch[097] Batch [0249]/[3760] Speed: 99.253289 samples/sec accuracy=37.556250 loss=2.773176 lr=0.067025 Epoch[097] Batch [0299]/[3760] Speed: 97.413658 samples/sec accuracy=37.614583 loss=2.776455 lr=0.067013 Epoch[097] Batch [0349]/[3760] Speed: 96.222264 samples/sec accuracy=37.843750 loss=2.768826 lr=0.067001 Epoch[097] Batch 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accuracy=37.943015 loss=2.764628 lr=0.066879 Epoch[097] Batch [0899]/[3760] Speed: 95.663031 samples/sec accuracy=37.850694 loss=2.769384 lr=0.066867 Epoch[097] Batch [0949]/[3760] Speed: 98.783572 samples/sec accuracy=37.855263 loss=2.768194 lr=0.066855 Epoch[097] Batch [0999]/[3760] Speed: 96.724000 samples/sec accuracy=37.914062 loss=2.765743 lr=0.066843 Epoch[097] Batch [1049]/[3760] Speed: 97.910571 samples/sec accuracy=37.839286 loss=2.767837 lr=0.066831 Epoch[097] Batch [1099]/[3760] Speed: 95.837398 samples/sec accuracy=37.832386 loss=2.767036 lr=0.066819 Epoch[097] Batch [1149]/[3760] Speed: 96.918119 samples/sec accuracy=37.889946 loss=2.763531 lr=0.066807 Epoch[097] Batch [1199]/[3760] Speed: 97.607290 samples/sec accuracy=37.899740 loss=2.765101 lr=0.066794 Epoch[097] Batch [1249]/[3760] Speed: 95.890876 samples/sec accuracy=37.896250 loss=2.765933 lr=0.066782 Epoch[097] Batch [1299]/[3760] Speed: 97.525291 samples/sec accuracy=38.001202 loss=2.762438 lr=0.066770 Epoch[097] 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accuracy=38.065104 loss=2.761746 lr=0.066649 Epoch[097] Batch [1849]/[3760] Speed: 97.159519 samples/sec accuracy=38.053209 loss=2.761946 lr=0.066636 Epoch[097] Batch [1899]/[3760] Speed: 96.169690 samples/sec accuracy=38.050164 loss=2.762368 lr=0.066624 Epoch[097] Batch [1949]/[3760] Speed: 97.463635 samples/sec accuracy=38.031250 loss=2.763054 lr=0.066612 Epoch[097] Batch [1999]/[3760] Speed: 98.452136 samples/sec accuracy=38.030469 loss=2.763059 lr=0.066600 Epoch[097] Batch [2049]/[3760] Speed: 94.819401 samples/sec accuracy=38.069360 loss=2.761127 lr=0.066588 Epoch[097] Batch [2099]/[3760] Speed: 99.422232 samples/sec accuracy=38.064732 loss=2.761672 lr=0.066576 Epoch[097] Batch [2149]/[3760] Speed: 97.337593 samples/sec accuracy=38.058866 loss=2.761353 lr=0.066563 Epoch[097] Batch [2199]/[3760] Speed: 98.060102 samples/sec accuracy=38.061080 loss=2.760984 lr=0.066551 Epoch[097] Batch [2249]/[3760] Speed: 95.499659 samples/sec accuracy=38.063194 loss=2.761384 lr=0.066539 Epoch[097] 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accuracy=37.997727 loss=2.766849 lr=0.066417 Epoch[097] Batch [2799]/[3760] Speed: 98.021537 samples/sec accuracy=37.986607 loss=2.767704 lr=0.066405 Epoch[097] Batch [2849]/[3760] Speed: 95.409825 samples/sec accuracy=37.991776 loss=2.767000 lr=0.066393 Epoch[097] Batch [2899]/[3760] Speed: 97.949812 samples/sec accuracy=37.994612 loss=2.766113 lr=0.066381 Epoch[097] Batch [2949]/[3760] Speed: 97.385438 samples/sec accuracy=37.992585 loss=2.766672 lr=0.066369 Epoch[097] Batch [2999]/[3760] Speed: 96.998419 samples/sec accuracy=38.010938 loss=2.766281 lr=0.066356 Epoch[097] Batch [3049]/[3760] Speed: 96.330376 samples/sec accuracy=38.010758 loss=2.766359 lr=0.066344 Epoch[097] Batch [3099]/[3760] Speed: 97.506312 samples/sec accuracy=38.004032 loss=2.766444 lr=0.066332 Epoch[097] Batch [3149]/[3760] Speed: 97.056137 samples/sec accuracy=38.004960 loss=2.766786 lr=0.066320 Epoch[097] Batch [3199]/[3760] Speed: 95.340742 samples/sec accuracy=38.030762 loss=2.765875 lr=0.066308 Epoch[097] 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accuracy=38.024916 loss=2.766587 lr=0.066186 Epoch[097] Batch [3749]/[3760] Speed: 110.150285 samples/sec accuracy=38.022083 loss=2.767404 lr=0.066173 Batch [0049]/[0303]: acc-top1=39.250000 acc-top5=65.593750 Batch [0099]/[0303]: acc-top1=36.906250 acc-top5=63.312500 Batch [0149]/[0303]: acc-top1=37.625000 acc-top5=63.864583 Batch [0199]/[0303]: acc-top1=39.976562 acc-top5=65.750000 Batch [0249]/[0303]: acc-top1=39.418750 acc-top5=65.706250 Batch [0299]/[0303]: acc-top1=38.697917 acc-top5=65.401042 [Epoch 097] training: accuracy=38.017370 loss=2.767701 [Epoch 097] speed: 96 samples/sec time cost: 2677.236780 [Epoch 097] validation: acc-top1=38.691213 acc-top5=65.392946 loss=2.873552 Epoch[098] Batch [0049]/[3759] Speed: 67.080563 samples/sec accuracy=38.656250 loss=2.723449 lr=0.066159 Epoch[098] Batch [0099]/[3759] Speed: 94.017031 samples/sec accuracy=38.515625 loss=2.727549 lr=0.066147 Epoch[098] Batch [0149]/[3759] Speed: 97.312268 samples/sec accuracy=38.229167 loss=2.733565 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lr=0.065902 Epoch[098] Batch [1149]/[3759] Speed: 97.930749 samples/sec accuracy=38.449728 loss=2.738731 lr=0.065890 Epoch[098] Batch [1199]/[3759] Speed: 96.085216 samples/sec accuracy=38.358073 loss=2.742723 lr=0.065878 Epoch[098] Batch [1249]/[3759] Speed: 98.408896 samples/sec accuracy=38.413750 loss=2.740825 lr=0.065866 Epoch[098] Batch [1299]/[3759] Speed: 96.584526 samples/sec accuracy=38.400240 loss=2.742729 lr=0.065853 Epoch[098] Batch [1349]/[3759] Speed: 97.653291 samples/sec accuracy=38.413194 loss=2.742355 lr=0.065841 Epoch[098] Batch [1399]/[3759] Speed: 96.114024 samples/sec accuracy=38.427455 loss=2.741380 lr=0.065829 Epoch[098] Batch [1449]/[3759] Speed: 97.523434 samples/sec accuracy=38.441810 loss=2.740695 lr=0.065817 Epoch[098] Batch [1499]/[3759] Speed: 96.683574 samples/sec accuracy=38.470833 loss=2.740741 lr=0.065804 Epoch[098] Batch [1549]/[3759] Speed: 96.868381 samples/sec accuracy=38.451613 loss=2.742495 lr=0.065792 Epoch[098] Batch [1599]/[3759] Speed: 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lr=0.065670 Epoch[098] Batch [2099]/[3759] Speed: 97.290765 samples/sec accuracy=38.411458 loss=2.748571 lr=0.065657 Epoch[098] Batch [2149]/[3759] Speed: 96.455612 samples/sec accuracy=38.406250 loss=2.748040 lr=0.065645 Epoch[098] Batch [2199]/[3759] Speed: 97.985784 samples/sec accuracy=38.384233 loss=2.750396 lr=0.065633 Epoch[098] Batch [2249]/[3759] Speed: 97.313574 samples/sec accuracy=38.399306 loss=2.750078 lr=0.065621 Epoch[098] Batch [2299]/[3759] Speed: 96.881789 samples/sec accuracy=38.360734 loss=2.751205 lr=0.065608 Epoch[098] Batch [2349]/[3759] Speed: 95.966326 samples/sec accuracy=38.380984 loss=2.750873 lr=0.065596 Epoch[098] Batch [2399]/[3759] Speed: 97.473415 samples/sec accuracy=38.365885 loss=2.751307 lr=0.065584 Epoch[098] Batch [2449]/[3759] Speed: 97.416044 samples/sec accuracy=38.346301 loss=2.753180 lr=0.065572 Epoch[098] Batch [2499]/[3759] Speed: 96.968008 samples/sec accuracy=38.343750 loss=2.752943 lr=0.065559 Epoch[098] Batch [2549]/[3759] Speed: 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lr=0.065437 Epoch[098] Batch [3049]/[3759] Speed: 97.306935 samples/sec accuracy=38.287398 loss=2.754744 lr=0.065425 Epoch[098] Batch [3099]/[3759] Speed: 96.582899 samples/sec accuracy=38.286794 loss=2.755202 lr=0.065412 Epoch[098] Batch [3149]/[3759] Speed: 96.290355 samples/sec accuracy=38.264385 loss=2.756516 lr=0.065400 Epoch[098] Batch [3199]/[3759] Speed: 96.994959 samples/sec accuracy=38.296387 loss=2.755397 lr=0.065388 Epoch[098] Batch [3249]/[3759] Speed: 97.887464 samples/sec accuracy=38.291827 loss=2.755649 lr=0.065375 Epoch[098] Batch [3299]/[3759] Speed: 97.173997 samples/sec accuracy=38.293561 loss=2.755693 lr=0.065363 Epoch[098] Batch [3349]/[3759] Speed: 96.127518 samples/sec accuracy=38.295709 loss=2.755425 lr=0.065351 Epoch[098] Batch [3399]/[3759] Speed: 97.696556 samples/sec accuracy=38.276654 loss=2.756651 lr=0.065339 Epoch[098] Batch [3449]/[3759] Speed: 97.575617 samples/sec accuracy=38.255435 loss=2.757419 lr=0.065326 Epoch[098] Batch [3499]/[3759] Speed: 94.062082 samples/sec accuracy=38.256250 loss=2.757333 lr=0.065314 Epoch[098] Batch [3549]/[3759] Speed: 99.259134 samples/sec accuracy=38.265845 loss=2.757002 lr=0.065302 Epoch[098] Batch [3599]/[3759] Speed: 96.546981 samples/sec accuracy=38.267361 loss=2.756923 lr=0.065290 Epoch[098] Batch [3649]/[3759] Speed: 97.290313 samples/sec accuracy=38.294092 loss=2.756241 lr=0.065277 Epoch[098] Batch [3699]/[3759] Speed: 94.961440 samples/sec accuracy=38.300253 loss=2.755931 lr=0.065265 Epoch[098] Batch [3749]/[3759] Speed: 109.431211 samples/sec accuracy=38.282083 loss=2.756488 lr=0.065253 Batch [0049]/[0303]: acc-top1=36.937500 acc-top5=63.468750 Batch [0099]/[0303]: acc-top1=34.687500 acc-top5=61.609375 Batch [0149]/[0303]: acc-top1=36.812500 acc-top5=63.218750 Batch [0199]/[0303]: acc-top1=39.773438 acc-top5=65.335938 Batch [0249]/[0303]: acc-top1=39.031250 acc-top5=65.056250 Batch [0299]/[0303]: acc-top1=38.442708 acc-top5=65.229167 [Epoch 098] training: accuracy=38.272313 loss=2.756754 [Epoch 098] speed: 96 samples/sec time cost: 2682.095914 [Epoch 098] validation: acc-top1=38.515883 acc-top5=65.274340 loss=2.874370 Epoch[099] Batch [0049]/[3760] Speed: 68.150494 samples/sec accuracy=39.687500 loss=2.688464 lr=0.065238 Epoch[099] Batch [0099]/[3760] Speed: 92.625192 samples/sec accuracy=39.296875 loss=2.709697 lr=0.065226 Epoch[099] Batch [0149]/[3760] Speed: 96.735841 samples/sec accuracy=39.104167 loss=2.705504 lr=0.065214 Epoch[099] Batch [0199]/[3760] Speed: 94.542670 samples/sec accuracy=38.937500 loss=2.707480 lr=0.065201 Epoch[099] Batch [0249]/[3760] Speed: 96.880721 samples/sec accuracy=38.750000 loss=2.710919 lr=0.065189 Epoch[099] Batch [0299]/[3760] Speed: 95.989462 samples/sec accuracy=38.640625 loss=2.715887 lr=0.065177 Epoch[099] Batch [0349]/[3760] Speed: 97.191669 samples/sec accuracy=38.433036 loss=2.725018 lr=0.065164 Epoch[099] Batch [0399]/[3760] Speed: 96.343049 samples/sec accuracy=38.492188 loss=2.729350 lr=0.065152 Epoch[099] 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accuracy=38.505208 loss=2.734906 lr=0.065029 Epoch[099] Batch [0949]/[3760] Speed: 96.991222 samples/sec accuracy=38.407895 loss=2.736895 lr=0.065017 Epoch[099] Batch [0999]/[3760] Speed: 96.744346 samples/sec accuracy=38.410937 loss=2.737273 lr=0.065005 Epoch[099] Batch [1049]/[3760] Speed: 98.374885 samples/sec accuracy=38.315476 loss=2.740554 lr=0.064992 Epoch[099] Batch [1099]/[3760] Speed: 94.519401 samples/sec accuracy=38.286932 loss=2.740470 lr=0.064980 Epoch[099] Batch [1149]/[3760] Speed: 99.377777 samples/sec accuracy=38.273098 loss=2.741264 lr=0.064968 Epoch[099] Batch [1199]/[3760] Speed: 97.534724 samples/sec accuracy=38.263021 loss=2.743448 lr=0.064955 Epoch[099] Batch [1249]/[3760] Speed: 97.679123 samples/sec accuracy=38.322500 loss=2.742002 lr=0.064943 Epoch[099] Batch [1299]/[3760] Speed: 95.928459 samples/sec accuracy=38.353365 loss=2.740619 lr=0.064931 Epoch[099] Batch [1349]/[3760] Speed: 98.519359 samples/sec accuracy=38.328704 loss=2.742892 lr=0.064918 Epoch[099] 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accuracy=38.210379 loss=2.749226 lr=0.064561 Epoch[099] Batch [2849]/[3760] Speed: 97.552343 samples/sec accuracy=38.218750 loss=2.749088 lr=0.064549 Epoch[099] Batch [2899]/[3760] Speed: 96.567467 samples/sec accuracy=38.221444 loss=2.749039 lr=0.064536 Epoch[099] Batch [2949]/[3760] Speed: 97.033767 samples/sec accuracy=38.227225 loss=2.749561 lr=0.064524 Epoch[099] Batch [2999]/[3760] Speed: 96.758394 samples/sec accuracy=38.208333 loss=2.750508 lr=0.064512 Epoch[099] Batch [3049]/[3760] Speed: 98.051123 samples/sec accuracy=38.225410 loss=2.750226 lr=0.064499 Epoch[099] Batch [3099]/[3760] Speed: 95.903419 samples/sec accuracy=38.246976 loss=2.749562 lr=0.064487 Epoch[099] Batch [3149]/[3760] Speed: 97.505820 samples/sec accuracy=38.259921 loss=2.749078 lr=0.064475 Epoch[099] Batch [3199]/[3760] Speed: 97.405226 samples/sec accuracy=38.294434 loss=2.748248 lr=0.064462 Epoch[099] Batch [3249]/[3760] Speed: 97.577579 samples/sec accuracy=38.302885 loss=2.749044 lr=0.064450 Epoch[099] 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accuracy=38.229167 loss=2.750988 lr=0.064326 Batch [0049]/[0303]: acc-top1=39.031250 acc-top5=64.875000 Batch [0099]/[0303]: acc-top1=36.125000 acc-top5=62.218750 Batch [0149]/[0303]: acc-top1=37.489583 acc-top5=64.052083 Batch [0199]/[0303]: acc-top1=40.414062 acc-top5=66.507812 Batch [0249]/[0303]: acc-top1=39.700000 acc-top5=66.256250 Batch [0299]/[0303]: acc-top1=39.182292 acc-top5=66.151042 [Epoch 099] training: accuracy=38.223903 loss=2.750975 [Epoch 099] speed: 96 samples/sec time cost: 2678.478818 [Epoch 099] validation: acc-top1=39.191419 acc-top5=66.145833 loss=2.809284 Epoch[100] Batch [0049]/[3760] Speed: 66.820406 samples/sec accuracy=38.125000 loss=2.711971 lr=0.064312 Epoch[100] Batch [0099]/[3760] Speed: 93.345976 samples/sec accuracy=38.875000 loss=2.716214 lr=0.064299 Epoch[100] Batch [0149]/[3760] Speed: 98.839532 samples/sec accuracy=38.927083 loss=2.707843 lr=0.064287 Epoch[100] Batch [0199]/[3760] Speed: 94.509318 samples/sec accuracy=38.750000 loss=2.706132 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lr=0.064040 Epoch[100] Batch [1199]/[3760] Speed: 97.961376 samples/sec accuracy=38.610677 loss=2.728734 lr=0.064027 Epoch[100] Batch [1249]/[3760] Speed: 96.110845 samples/sec accuracy=38.613750 loss=2.727900 lr=0.064015 Epoch[100] Batch [1299]/[3760] Speed: 99.032025 samples/sec accuracy=38.620192 loss=2.727925 lr=0.064002 Epoch[100] Batch [1349]/[3760] Speed: 97.191301 samples/sec accuracy=38.637731 loss=2.728288 lr=0.063990 Epoch[100] Batch [1399]/[3760] Speed: 97.830273 samples/sec accuracy=38.619420 loss=2.728988 lr=0.063978 Epoch[100] Batch [1449]/[3760] Speed: 96.354844 samples/sec accuracy=38.582974 loss=2.730919 lr=0.063965 Epoch[100] Batch [1499]/[3760] Speed: 97.920145 samples/sec accuracy=38.572917 loss=2.730639 lr=0.063953 Epoch[100] Batch [1549]/[3760] Speed: 97.874112 samples/sec accuracy=38.568548 loss=2.731711 lr=0.063940 Epoch[100] Batch [1599]/[3760] Speed: 97.972744 samples/sec accuracy=38.558594 loss=2.732122 lr=0.063928 Epoch[100] Batch [1649]/[3760] Speed: 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lr=0.063804 Epoch[100] Batch [2149]/[3760] Speed: 97.687145 samples/sec accuracy=38.561773 loss=2.735456 lr=0.063792 Epoch[100] Batch [2199]/[3760] Speed: 98.025871 samples/sec accuracy=38.591619 loss=2.734679 lr=0.063779 Epoch[100] Batch [2249]/[3760] Speed: 96.662576 samples/sec accuracy=38.589583 loss=2.733927 lr=0.063767 Epoch[100] Batch [2299]/[3760] Speed: 97.980645 samples/sec accuracy=38.578125 loss=2.734791 lr=0.063755 Epoch[100] Batch [2349]/[3760] Speed: 97.281244 samples/sec accuracy=38.585106 loss=2.735109 lr=0.063742 Epoch[100] Batch [2399]/[3760] Speed: 98.745898 samples/sec accuracy=38.597656 loss=2.733738 lr=0.063730 Epoch[100] Batch [2449]/[3760] Speed: 95.967562 samples/sec accuracy=38.579719 loss=2.734717 lr=0.063717 Epoch[100] Batch [2499]/[3760] Speed: 98.781364 samples/sec accuracy=38.575000 loss=2.734616 lr=0.063705 Epoch[100] Batch [2549]/[3760] Speed: 97.533730 samples/sec accuracy=38.558824 loss=2.735303 lr=0.063693 Epoch[100] Batch [2599]/[3760] Speed: 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lr=0.063568 Epoch[100] Batch [3099]/[3760] Speed: 97.727057 samples/sec accuracy=38.508065 loss=2.739097 lr=0.063556 Epoch[100] Batch [3149]/[3760] Speed: 97.883055 samples/sec accuracy=38.524802 loss=2.739165 lr=0.063544 Epoch[100] Batch [3199]/[3760] Speed: 97.662701 samples/sec accuracy=38.515625 loss=2.739129 lr=0.063531 Epoch[100] Batch [3249]/[3760] Speed: 96.984799 samples/sec accuracy=38.545673 loss=2.737813 lr=0.063519 Epoch[100] Batch [3299]/[3760] Speed: 98.202756 samples/sec accuracy=38.542140 loss=2.737800 lr=0.063506 Epoch[100] Batch [3349]/[3760] Speed: 97.757513 samples/sec accuracy=38.516325 loss=2.738611 lr=0.063494 Epoch[100] Batch [3399]/[3760] Speed: 98.255819 samples/sec accuracy=38.515625 loss=2.738904 lr=0.063482 Epoch[100] Batch [3449]/[3760] Speed: 97.162070 samples/sec accuracy=38.494565 loss=2.739899 lr=0.063469 Epoch[100] Batch [3499]/[3760] Speed: 97.980781 samples/sec accuracy=38.494643 loss=2.740147 lr=0.063457 Epoch[100] Batch [3549]/[3760] Speed: 98.380125 samples/sec accuracy=38.494718 loss=2.740299 lr=0.063444 Epoch[100] Batch [3599]/[3760] Speed: 97.621180 samples/sec accuracy=38.503906 loss=2.739820 lr=0.063432 Epoch[100] Batch [3649]/[3760] Speed: 97.217089 samples/sec accuracy=38.504709 loss=2.739747 lr=0.063419 Epoch[100] Batch [3699]/[3760] Speed: 98.659350 samples/sec accuracy=38.476351 loss=2.740983 lr=0.063407 Epoch[100] Batch [3749]/[3760] Speed: 108.669835 samples/sec accuracy=38.460000 loss=2.740893 lr=0.063395 Batch [0049]/[0303]: acc-top1=39.218750 acc-top5=65.718750 Batch [0099]/[0303]: acc-top1=36.109375 acc-top5=62.734375 Batch [0149]/[0303]: acc-top1=37.687500 acc-top5=64.072917 Batch [0199]/[0303]: acc-top1=40.265625 acc-top5=66.093750 Batch [0249]/[0303]: acc-top1=39.693750 acc-top5=66.175000 Batch [0299]/[0303]: acc-top1=39.333333 acc-top5=66.302083 [Epoch 100] training: accuracy=38.463680 loss=2.740561 [Epoch 100] speed: 97 samples/sec time cost: 2670.628626 [Epoch 100] validation: acc-top1=39.346122 acc-top5=66.362417 loss=2.992029 Epoch[101] Batch [0049]/[3759] Speed: 67.153207 samples/sec accuracy=40.375000 loss=2.673596 lr=0.063380 Epoch[101] Batch [0099]/[3759] Speed: 93.172372 samples/sec accuracy=39.593750 loss=2.677436 lr=0.063367 Epoch[101] Batch [0149]/[3759] Speed: 98.095218 samples/sec accuracy=38.937500 loss=2.699795 lr=0.063355 Epoch[101] Batch [0199]/[3759] Speed: 94.930078 samples/sec accuracy=38.984375 loss=2.700023 lr=0.063342 Epoch[101] Batch [0249]/[3759] Speed: 95.783743 samples/sec accuracy=38.943750 loss=2.702001 lr=0.063330 Epoch[101] Batch [0299]/[3759] Speed: 97.730474 samples/sec accuracy=39.036458 loss=2.707957 lr=0.063318 Epoch[101] Batch [0349]/[3759] Speed: 97.558787 samples/sec accuracy=39.035714 loss=2.707431 lr=0.063305 Epoch[101] Batch [0399]/[3759] Speed: 96.568538 samples/sec accuracy=38.957031 loss=2.710342 lr=0.063293 Epoch[101] Batch [0449]/[3759] Speed: 95.599186 samples/sec accuracy=38.954861 loss=2.714567 lr=0.063280 Epoch[101] Batch 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accuracy=38.784539 loss=2.718356 lr=0.063156 Epoch[101] Batch [0999]/[3759] Speed: 97.165699 samples/sec accuracy=38.764063 loss=2.716143 lr=0.063143 Epoch[101] Batch [1049]/[3759] Speed: 96.177766 samples/sec accuracy=38.750000 loss=2.716353 lr=0.063131 Epoch[101] Batch [1099]/[3759] Speed: 97.286910 samples/sec accuracy=38.697443 loss=2.719166 lr=0.063119 Epoch[101] Batch [1149]/[3759] Speed: 97.489487 samples/sec accuracy=38.654891 loss=2.721736 lr=0.063106 Epoch[101] Batch [1199]/[3759] Speed: 97.715213 samples/sec accuracy=38.701823 loss=2.719881 lr=0.063094 Epoch[101] Batch [1249]/[3759] Speed: 96.388464 samples/sec accuracy=38.726250 loss=2.720413 lr=0.063081 Epoch[101] Batch [1299]/[3759] Speed: 97.987261 samples/sec accuracy=38.735577 loss=2.721925 lr=0.063069 Epoch[101] Batch [1349]/[3759] Speed: 97.365983 samples/sec accuracy=38.740741 loss=2.720917 lr=0.063056 Epoch[101] Batch [1399]/[3759] Speed: 97.328030 samples/sec accuracy=38.753348 loss=2.721461 lr=0.063044 Epoch[101] 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accuracy=38.814145 loss=2.722490 lr=0.062919 Epoch[101] Batch [1949]/[3759] Speed: 98.070825 samples/sec accuracy=38.826122 loss=2.722159 lr=0.062907 Epoch[101] Batch [1999]/[3759] Speed: 97.973513 samples/sec accuracy=38.831250 loss=2.722429 lr=0.062894 Epoch[101] Batch [2049]/[3759] Speed: 96.620766 samples/sec accuracy=38.822409 loss=2.722009 lr=0.062882 Epoch[101] Batch [2099]/[3759] Speed: 97.241701 samples/sec accuracy=38.796131 loss=2.722935 lr=0.062869 Epoch[101] Batch [2149]/[3759] Speed: 97.537983 samples/sec accuracy=38.802326 loss=2.722957 lr=0.062857 Epoch[101] Batch [2199]/[3759] Speed: 97.044756 samples/sec accuracy=38.821733 loss=2.721864 lr=0.062845 Epoch[101] Batch [2249]/[3759] Speed: 97.088124 samples/sec accuracy=38.835417 loss=2.722290 lr=0.062832 Epoch[101] Batch [2299]/[3759] Speed: 97.879691 samples/sec accuracy=38.829484 loss=2.722922 lr=0.062820 Epoch[101] Batch [2349]/[3759] Speed: 97.412544 samples/sec accuracy=38.807846 loss=2.724824 lr=0.062807 Epoch[101] 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accuracy=38.801535 loss=2.727230 lr=0.062682 Epoch[101] Batch [2899]/[3759] Speed: 98.762725 samples/sec accuracy=38.780172 loss=2.727590 lr=0.062670 Epoch[101] Batch [2949]/[3759] Speed: 97.636197 samples/sec accuracy=38.783898 loss=2.728247 lr=0.062657 Epoch[101] Batch [2999]/[3759] Speed: 97.502517 samples/sec accuracy=38.767187 loss=2.729013 lr=0.062645 Epoch[101] Batch [3049]/[3759] Speed: 96.232713 samples/sec accuracy=38.751025 loss=2.730173 lr=0.062633 Epoch[101] Batch [3099]/[3759] Speed: 97.888145 samples/sec accuracy=38.750000 loss=2.730597 lr=0.062620 Epoch[101] Batch [3149]/[3759] Speed: 96.942656 samples/sec accuracy=38.762401 loss=2.730489 lr=0.062608 Epoch[101] Batch [3199]/[3759] Speed: 97.099968 samples/sec accuracy=38.752441 loss=2.731154 lr=0.062595 Epoch[101] Batch [3249]/[3759] Speed: 96.574378 samples/sec accuracy=38.745673 loss=2.731231 lr=0.062583 Epoch[101] Batch [3299]/[3759] Speed: 97.530900 samples/sec accuracy=38.745739 loss=2.731099 lr=0.062570 Epoch[101] Batch [3349]/[3759] Speed: 97.058935 samples/sec accuracy=38.742071 loss=2.730597 lr=0.062558 Epoch[101] Batch [3399]/[3759] Speed: 97.424541 samples/sec accuracy=38.734375 loss=2.730090 lr=0.062545 Epoch[101] Batch [3449]/[3759] Speed: 97.103201 samples/sec accuracy=38.735960 loss=2.729784 lr=0.062533 Epoch[101] Batch [3499]/[3759] Speed: 98.074116 samples/sec accuracy=38.732143 loss=2.729346 lr=0.062520 Epoch[101] Batch [3549]/[3759] Speed: 97.252153 samples/sec accuracy=38.740757 loss=2.728751 lr=0.062508 Epoch[101] Batch [3599]/[3759] Speed: 98.247129 samples/sec accuracy=38.740885 loss=2.728865 lr=0.062495 Epoch[101] Batch [3649]/[3759] Speed: 96.626968 samples/sec accuracy=38.729880 loss=2.729634 lr=0.062483 Epoch[101] Batch [3699]/[3759] Speed: 98.204618 samples/sec accuracy=38.720017 loss=2.730085 lr=0.062470 Epoch[101] Batch [3749]/[3759] Speed: 110.803833 samples/sec accuracy=38.715000 loss=2.730325 lr=0.062458 Batch [0049]/[0303]: acc-top1=40.656250 acc-top5=67.687500 Batch [0099]/[0303]: acc-top1=38.218750 acc-top5=64.968750 Batch [0149]/[0303]: acc-top1=39.281250 acc-top5=65.593750 Batch [0199]/[0303]: acc-top1=41.960938 acc-top5=67.695312 Batch [0249]/[0303]: acc-top1=41.462500 acc-top5=67.562500 Batch [0299]/[0303]: acc-top1=40.427083 acc-top5=67.255208 [Epoch 101] training: accuracy=38.711675 loss=2.730495 [Epoch 101] speed: 96 samples/sec time cost: 2677.788265 [Epoch 101] validation: acc-top1=40.372318 acc-top5=67.254538 loss=2.714472 Epoch[102] Batch [0049]/[3760] Speed: 66.853378 samples/sec accuracy=40.062500 loss=2.652572 lr=0.062443 Epoch[102] Batch [0099]/[3760] Speed: 93.222470 samples/sec accuracy=39.828125 loss=2.675560 lr=0.062430 Epoch[102] Batch [0149]/[3760] Speed: 97.570270 samples/sec accuracy=39.864583 loss=2.674642 lr=0.062418 Epoch[102] Batch [0199]/[3760] Speed: 95.678556 samples/sec accuracy=39.398438 loss=2.687299 lr=0.062405 Epoch[102] Batch [0249]/[3760] Speed: 98.812730 samples/sec accuracy=39.375000 loss=2.687464 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96.160114 samples/sec accuracy=39.287500 loss=2.699823 lr=0.062268 Epoch[102] Batch [0799]/[3760] Speed: 97.546405 samples/sec accuracy=39.273438 loss=2.700760 lr=0.062256 Epoch[102] Batch [0849]/[3760] Speed: 96.154510 samples/sec accuracy=39.301471 loss=2.697036 lr=0.062243 Epoch[102] Batch [0899]/[3760] Speed: 96.088390 samples/sec accuracy=39.343750 loss=2.693576 lr=0.062230 Epoch[102] Batch [0949]/[3760] Speed: 98.463145 samples/sec accuracy=39.274671 loss=2.697221 lr=0.062218 Epoch[102] Batch [0999]/[3760] Speed: 96.986271 samples/sec accuracy=39.273438 loss=2.697822 lr=0.062205 Epoch[102] Batch [1049]/[3760] Speed: 97.885078 samples/sec accuracy=39.285714 loss=2.695947 lr=0.062193 Epoch[102] Batch [1099]/[3760] Speed: 96.076818 samples/sec accuracy=39.238636 loss=2.698590 lr=0.062180 Epoch[102] Batch [1149]/[3760] Speed: 98.211243 samples/sec accuracy=39.224185 loss=2.701124 lr=0.062168 Epoch[102] Batch [1199]/[3760] Speed: 97.301726 samples/sec accuracy=39.210938 loss=2.701974 lr=0.062155 Epoch[102] Batch [1249]/[3760] Speed: 97.374860 samples/sec accuracy=39.216250 loss=2.701322 lr=0.062143 Epoch[102] Batch [1299]/[3760] Speed: 96.245353 samples/sec accuracy=39.203125 loss=2.701906 lr=0.062130 Epoch[102] Batch [1349]/[3760] Speed: 97.719848 samples/sec accuracy=39.178241 loss=2.703995 lr=0.062118 Epoch[102] Batch [1399]/[3760] Speed: 97.118224 samples/sec accuracy=39.128348 loss=2.705167 lr=0.062105 Epoch[102] Batch [1449]/[3760] Speed: 98.303259 samples/sec accuracy=39.094828 loss=2.706392 lr=0.062093 Epoch[102] Batch [1499]/[3760] Speed: 96.630648 samples/sec accuracy=39.004167 loss=2.710084 lr=0.062080 Epoch[102] Batch [1549]/[3760] Speed: 97.211287 samples/sec accuracy=39.004032 loss=2.710368 lr=0.062068 Epoch[102] Batch [1599]/[3760] Speed: 97.157028 samples/sec accuracy=38.992188 loss=2.710779 lr=0.062055 Epoch[102] Batch [1649]/[3760] Speed: 97.560096 samples/sec accuracy=39.036932 loss=2.709397 lr=0.062043 Epoch[102] Batch [1699]/[3760] Speed: 95.062258 samples/sec accuracy=39.025735 loss=2.709222 lr=0.062030 Epoch[102] Batch [1749]/[3760] Speed: 98.124186 samples/sec accuracy=38.992857 loss=2.710369 lr=0.062018 Epoch[102] Batch [1799]/[3760] Speed: 96.630006 samples/sec accuracy=38.960938 loss=2.713102 lr=0.062005 Epoch[102] Batch [1849]/[3760] Speed: 97.745415 samples/sec accuracy=38.991554 loss=2.711149 lr=0.061993 Epoch[102] Batch [1899]/[3760] Speed: 96.721150 samples/sec accuracy=39.017270 loss=2.710621 lr=0.061980 Epoch[102] Batch [1949]/[3760] Speed: 97.927347 samples/sec accuracy=38.971955 loss=2.713432 lr=0.061968 Epoch[102] Batch [1999]/[3760] Speed: 97.068213 samples/sec accuracy=38.967188 loss=2.714273 lr=0.061955 Epoch[102] Batch [2049]/[3760] Speed: 97.159078 samples/sec accuracy=38.956555 loss=2.713735 lr=0.061943 Epoch[102] Batch [2099]/[3760] Speed: 96.764596 samples/sec accuracy=38.971726 loss=2.713386 lr=0.061930 Epoch[102] Batch [2149]/[3760] Speed: 96.602130 samples/sec accuracy=38.919331 loss=2.714951 lr=0.061918 Epoch[102] Batch [2199]/[3760] Speed: 97.996876 samples/sec accuracy=38.928977 loss=2.715388 lr=0.061905 Epoch[102] Batch [2249]/[3760] Speed: 96.779698 samples/sec accuracy=38.908333 loss=2.716180 lr=0.061893 Epoch[102] Batch [2299]/[3760] Speed: 97.468436 samples/sec accuracy=38.917799 loss=2.716320 lr=0.061880 Epoch[102] Batch [2349]/[3760] Speed: 96.809386 samples/sec accuracy=38.896277 loss=2.718646 lr=0.061867 Epoch[102] Batch [2399]/[3760] Speed: 98.013540 samples/sec accuracy=38.888021 loss=2.719080 lr=0.061855 Epoch[102] Batch [2449]/[3760] Speed: 97.615896 samples/sec accuracy=38.875638 loss=2.719888 lr=0.061842 Epoch[102] Batch [2499]/[3760] Speed: 96.523356 samples/sec accuracy=38.911250 loss=2.718117 lr=0.061830 Epoch[102] Batch [2549]/[3760] Speed: 97.918251 samples/sec accuracy=38.914216 loss=2.717785 lr=0.061817 Epoch[102] Batch [2599]/[3760] Speed: 97.386414 samples/sec accuracy=38.899639 loss=2.718348 lr=0.061805 Epoch[102] Batch [2649]/[3760] Speed: 97.579276 samples/sec accuracy=38.877358 loss=2.719367 lr=0.061792 Epoch[102] Batch [2699]/[3760] Speed: 96.709330 samples/sec accuracy=38.884838 loss=2.718478 lr=0.061780 Epoch[102] Batch [2749]/[3760] Speed: 97.694289 samples/sec accuracy=38.868182 loss=2.719867 lr=0.061767 Epoch[102] Batch [2799]/[3760] Speed: 96.233832 samples/sec accuracy=38.858817 loss=2.720108 lr=0.061755 Epoch[102] Batch [2849]/[3760] Speed: 97.596251 samples/sec accuracy=38.825110 loss=2.721387 lr=0.061742 Epoch[102] Batch [2899]/[3760] Speed: 96.314497 samples/sec accuracy=38.796336 loss=2.722394 lr=0.061730 Epoch[102] Batch [2949]/[3760] Speed: 97.858846 samples/sec accuracy=38.812500 loss=2.722226 lr=0.061717 Epoch[102] Batch [2999]/[3760] Speed: 97.807278 samples/sec accuracy=38.806250 loss=2.722246 lr=0.061705 Epoch[102] Batch [3049]/[3760] Speed: 98.505111 samples/sec accuracy=38.806865 loss=2.722790 lr=0.061692 Epoch[102] Batch [3099]/[3760] Speed: 96.573925 samples/sec accuracy=38.787298 loss=2.723206 lr=0.061679 Epoch[102] Batch [3149]/[3760] Speed: 97.666812 samples/sec accuracy=38.797619 loss=2.722539 lr=0.061667 Epoch[102] Batch [3199]/[3760] Speed: 97.485918 samples/sec accuracy=38.802734 loss=2.722317 lr=0.061654 Epoch[102] Batch [3249]/[3760] Speed: 97.319159 samples/sec accuracy=38.805769 loss=2.722374 lr=0.061642 Epoch[102] Batch [3299]/[3760] Speed: 97.726566 samples/sec accuracy=38.805398 loss=2.722528 lr=0.061629 Epoch[102] Batch [3349]/[3760] Speed: 97.159385 samples/sec accuracy=38.806437 loss=2.722243 lr=0.061617 Epoch[102] Batch [3399]/[3760] Speed: 97.126122 samples/sec accuracy=38.811121 loss=2.722281 lr=0.061604 Epoch[102] Batch [3449]/[3760] Speed: 97.427396 samples/sec accuracy=38.825181 loss=2.722133 lr=0.061592 Epoch[102] Batch [3499]/[3760] Speed: 96.746031 samples/sec accuracy=38.825446 loss=2.722460 lr=0.061579 Epoch[102] Batch [3549]/[3760] Speed: 96.783450 samples/sec accuracy=38.805898 loss=2.723123 lr=0.061567 Epoch[102] Batch [3599]/[3760] Speed: 97.355937 samples/sec accuracy=38.793837 loss=2.723811 lr=0.061554 Epoch[102] Batch [3649]/[3760] Speed: 97.629519 samples/sec accuracy=38.791524 loss=2.724118 lr=0.061541 Epoch[102] Batch [3699]/[3760] Speed: 96.770932 samples/sec accuracy=38.790118 loss=2.723759 lr=0.061529 Epoch[102] Batch [3749]/[3760] Speed: 111.317501 samples/sec accuracy=38.778333 loss=2.724913 lr=0.061516 Batch [0049]/[0303]: acc-top1=39.906250 acc-top5=66.656250 Batch [0099]/[0303]: acc-top1=37.328125 acc-top5=64.500000 Batch [0149]/[0303]: acc-top1=39.291667 acc-top5=65.854167 Batch [0199]/[0303]: acc-top1=41.820312 acc-top5=67.445312 Batch [0249]/[0303]: acc-top1=40.818750 acc-top5=66.862500 Batch [0299]/[0303]: acc-top1=40.531250 acc-top5=66.880208 [Epoch 102] training: accuracy=38.779920 loss=2.725004 [Epoch 102] speed: 96 samples/sec time cost: 2678.340757 [Epoch 102] validation: acc-top1=40.532178 acc-top5=66.872937 loss=2.774629 Epoch[103] Batch [0049]/[3760] Speed: 67.770429 samples/sec accuracy=38.343750 loss=2.716491 lr=0.061501 Epoch[103] Batch [0099]/[3760] Speed: 92.530951 samples/sec accuracy=38.781250 loss=2.684042 lr=0.061489 Epoch[103] Batch [0149]/[3760] Speed: 99.171094 samples/sec accuracy=38.770833 loss=2.704299 lr=0.061476 Epoch[103] Batch [0199]/[3760] Speed: 95.461742 samples/sec accuracy=39.093750 loss=2.692081 lr=0.061464 Epoch[103] Batch [0249]/[3760] Speed: 98.496465 samples/sec accuracy=39.262500 loss=2.684423 lr=0.061451 Epoch[103] Batch [0299]/[3760] Speed: 94.643298 samples/sec accuracy=39.338542 loss=2.682167 lr=0.061439 Epoch[103] Batch [0349]/[3760] Speed: 98.669027 samples/sec accuracy=39.205357 loss=2.686693 lr=0.061426 Epoch[103] Batch [0399]/[3760] Speed: 97.439428 samples/sec accuracy=39.433594 loss=2.675509 lr=0.061413 Epoch[103] Batch [0449]/[3760] Speed: 97.122227 samples/sec accuracy=39.315972 loss=2.681137 lr=0.061401 Epoch[103] Batch [0499]/[3760] Speed: 96.522362 samples/sec accuracy=39.234375 loss=2.685536 lr=0.061388 Epoch[103] 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accuracy=39.179688 loss=2.700040 lr=0.061263 Epoch[103] Batch [1049]/[3760] Speed: 97.175737 samples/sec accuracy=39.154762 loss=2.699807 lr=0.061250 Epoch[103] Batch [1099]/[3760] Speed: 95.630878 samples/sec accuracy=39.157670 loss=2.698899 lr=0.061238 Epoch[103] Batch [1149]/[3760] Speed: 99.096277 samples/sec accuracy=39.172554 loss=2.699363 lr=0.061225 Epoch[103] Batch [1199]/[3760] Speed: 96.484628 samples/sec accuracy=39.169271 loss=2.699373 lr=0.061212 Epoch[103] Batch [1249]/[3760] Speed: 97.721310 samples/sec accuracy=39.205000 loss=2.697476 lr=0.061200 Epoch[103] Batch [1299]/[3760] Speed: 98.012073 samples/sec accuracy=39.141827 loss=2.700184 lr=0.061187 Epoch[103] Batch [1349]/[3760] Speed: 97.156993 samples/sec accuracy=39.109954 loss=2.702369 lr=0.061175 Epoch[103] Batch [1399]/[3760] Speed: 97.885199 samples/sec accuracy=39.127232 loss=2.702100 lr=0.061162 Epoch[103] Batch [1449]/[3760] Speed: 98.325073 samples/sec accuracy=39.066810 loss=2.704425 lr=0.061150 Epoch[103] 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acc-top5=64.895833 Batch [0199]/[0303]: acc-top1=41.562500 acc-top5=67.054688 Batch [0249]/[0303]: acc-top1=40.818750 acc-top5=66.800000 Batch [0299]/[0303]: acc-top1=40.109375 acc-top5=66.807292 [Epoch 103] training: accuracy=38.946975 loss=2.717037 [Epoch 103] speed: 96 samples/sec time cost: 2679.058982 [Epoch 103] validation: acc-top1=40.135107 acc-top5=66.862624 loss=2.824923 Epoch[104] Batch [0049]/[3759] Speed: 67.897965 samples/sec accuracy=39.062500 loss=2.695434 lr=0.060555 Epoch[104] Batch [0099]/[3759] Speed: 94.375751 samples/sec accuracy=39.437500 loss=2.699446 lr=0.060543 Epoch[104] Batch [0149]/[3759] Speed: 98.034813 samples/sec accuracy=39.427083 loss=2.682418 lr=0.060530 Epoch[104] Batch [0199]/[3759] Speed: 94.517451 samples/sec accuracy=39.601562 loss=2.676620 lr=0.060518 Epoch[104] Batch [0249]/[3759] Speed: 98.403517 samples/sec accuracy=39.518750 loss=2.676775 lr=0.060505 Epoch[104] Batch [0299]/[3759] Speed: 96.672527 samples/sec accuracy=39.682292 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accuracy=39.143466 loss=2.697361 lr=0.060013 Epoch[104] Batch [2249]/[3759] Speed: 96.555957 samples/sec accuracy=39.141667 loss=2.698695 lr=0.060000 Epoch[104] Batch [2299]/[3759] Speed: 97.752824 samples/sec accuracy=39.152174 loss=2.699493 lr=0.059987 Epoch[104] Batch [2349]/[3759] Speed: 97.219217 samples/sec accuracy=39.188830 loss=2.698023 lr=0.059975 Epoch[104] Batch [2399]/[3759] Speed: 97.450115 samples/sec accuracy=39.159505 loss=2.698615 lr=0.059962 Epoch[104] Batch [2449]/[3759] Speed: 95.705916 samples/sec accuracy=39.165179 loss=2.698614 lr=0.059949 Epoch[104] Batch [2499]/[3759] Speed: 96.731453 samples/sec accuracy=39.190625 loss=2.697882 lr=0.059937 Epoch[104] Batch [2549]/[3759] Speed: 97.074529 samples/sec accuracy=39.178309 loss=2.698562 lr=0.059924 Epoch[104] Batch [2599]/[3759] Speed: 97.357358 samples/sec accuracy=39.163462 loss=2.699389 lr=0.059911 Epoch[104] Batch [2649]/[3759] Speed: 97.615158 samples/sec accuracy=39.140920 loss=2.700813 lr=0.059899 Epoch[104] 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accuracy=39.085813 loss=2.701286 lr=0.059772 Epoch[104] Batch [3199]/[3759] Speed: 97.809487 samples/sec accuracy=39.078613 loss=2.701603 lr=0.059760 Epoch[104] Batch [3249]/[3759] Speed: 96.293757 samples/sec accuracy=39.090385 loss=2.701052 lr=0.059747 Epoch[104] Batch [3299]/[3759] Speed: 96.529994 samples/sec accuracy=39.064394 loss=2.701729 lr=0.059734 Epoch[104] Batch [3349]/[3759] Speed: 98.550215 samples/sec accuracy=39.054104 loss=2.702280 lr=0.059722 Epoch[104] Batch [3399]/[3759] Speed: 96.896877 samples/sec accuracy=39.049632 loss=2.702667 lr=0.059709 Epoch[104] Batch [3449]/[3759] Speed: 96.127250 samples/sec accuracy=39.046649 loss=2.703515 lr=0.059696 Epoch[104] Batch [3499]/[3759] Speed: 97.958633 samples/sec accuracy=39.050893 loss=2.703442 lr=0.059684 Epoch[104] Batch [3549]/[3759] Speed: 96.885006 samples/sec accuracy=39.050176 loss=2.703502 lr=0.059671 Epoch[104] Batch [3599]/[3759] Speed: 97.761254 samples/sec accuracy=39.041667 loss=2.704655 lr=0.059659 Epoch[104] Batch [3649]/[3759] Speed: 94.953205 samples/sec accuracy=39.015411 loss=2.705658 lr=0.059646 Epoch[104] Batch [3699]/[3759] Speed: 100.005345 samples/sec accuracy=39.030828 loss=2.704984 lr=0.059633 Epoch[104] Batch [3749]/[3759] Speed: 110.998624 samples/sec accuracy=39.021250 loss=2.705715 lr=0.059621 Batch [0049]/[0303]: acc-top1=38.406250 acc-top5=64.906250 Batch [0099]/[0303]: acc-top1=36.234375 acc-top5=62.593750 Batch [0149]/[0303]: acc-top1=37.395833 acc-top5=63.625000 Batch [0199]/[0303]: acc-top1=40.257812 acc-top5=65.765625 Batch [0249]/[0303]: acc-top1=39.543750 acc-top5=65.700000 Batch [0299]/[0303]: acc-top1=39.104167 acc-top5=65.578125 [Epoch 104] training: accuracy=39.019270 loss=2.705797 [Epoch 104] speed: 96 samples/sec time cost: 2678.288965 [Epoch 104] validation: acc-top1=39.150165 acc-top5=65.619843 loss=2.908290 Epoch[105] Batch [0049]/[3760] Speed: 67.386193 samples/sec accuracy=39.531250 loss=2.643541 lr=0.059606 Epoch[105] Batch [0099]/[3760] Speed: 93.263767 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lr=0.058756 Epoch[105] Batch [3449]/[3760] Speed: 97.123109 samples/sec accuracy=39.408967 loss=2.692906 lr=0.058744 Epoch[105] Batch [3499]/[3760] Speed: 96.970427 samples/sec accuracy=39.412500 loss=2.692465 lr=0.058731 Epoch[105] Batch [3549]/[3760] Speed: 97.234825 samples/sec accuracy=39.418134 loss=2.692354 lr=0.058718 Epoch[105] Batch [3599]/[3760] Speed: 95.607555 samples/sec accuracy=39.417969 loss=2.692029 lr=0.058705 Epoch[105] Batch [3649]/[3760] Speed: 98.694161 samples/sec accuracy=39.405394 loss=2.692616 lr=0.058693 Epoch[105] Batch [3699]/[3760] Speed: 96.176671 samples/sec accuracy=39.388514 loss=2.693626 lr=0.058680 Epoch[105] Batch [3749]/[3760] Speed: 109.658576 samples/sec accuracy=39.366667 loss=2.694482 lr=0.058667 Batch [0049]/[0303]: acc-top1=38.187500 acc-top5=64.562500 Batch [0099]/[0303]: acc-top1=36.125000 acc-top5=62.312500 Batch [0149]/[0303]: acc-top1=37.916667 acc-top5=63.770833 Batch [0199]/[0303]: acc-top1=40.640625 acc-top5=65.960938 Batch [0249]/[0303]: acc-top1=40.187500 acc-top5=65.812500 Batch [0299]/[0303]: acc-top1=39.401042 acc-top5=65.635417 [Epoch 105] training: accuracy=39.374169 loss=2.694409 [Epoch 105] speed: 96 samples/sec time cost: 2681.664817 [Epoch 105] validation: acc-top1=39.449257 acc-top5=65.671411 loss=2.908928 Epoch[106] Batch [0049]/[3760] Speed: 66.519081 samples/sec accuracy=40.375000 loss=2.655115 lr=0.058652 Epoch[106] Batch [0099]/[3760] Speed: 95.001881 samples/sec accuracy=40.250000 loss=2.656021 lr=0.058639 Epoch[106] Batch [0149]/[3760] Speed: 98.474605 samples/sec accuracy=40.229167 loss=2.645165 lr=0.058627 Epoch[106] Batch [0199]/[3760] Speed: 96.628347 samples/sec accuracy=40.679688 loss=2.636911 lr=0.058614 Epoch[106] Batch [0249]/[3760] Speed: 97.100152 samples/sec accuracy=40.325000 loss=2.648197 lr=0.058601 Epoch[106] Batch [0299]/[3760] Speed: 97.522492 samples/sec accuracy=40.187500 loss=2.648265 lr=0.058589 Epoch[106] Batch [0349]/[3760] Speed: 98.919879 samples/sec accuracy=40.308036 loss=2.651929 lr=0.058576 Epoch[106] Batch [0399]/[3760] Speed: 97.025715 samples/sec accuracy=40.347656 loss=2.652774 lr=0.058563 Epoch[106] Batch [0449]/[3760] Speed: 95.838869 samples/sec accuracy=40.104167 loss=2.661056 lr=0.058550 Epoch[106] Batch [0499]/[3760] Speed: 99.374810 samples/sec accuracy=39.887500 loss=2.670195 lr=0.058538 Epoch[106] Batch [0549]/[3760] Speed: 98.022790 samples/sec accuracy=39.994318 loss=2.662930 lr=0.058525 Epoch[106] Batch [0599]/[3760] Speed: 99.975164 samples/sec accuracy=39.929688 loss=2.664566 lr=0.058512 Epoch[106] Batch [0649]/[3760] Speed: 95.773531 samples/sec accuracy=39.985577 loss=2.661835 lr=0.058500 Epoch[106] Batch [0699]/[3760] Speed: 97.392211 samples/sec accuracy=39.917411 loss=2.664289 lr=0.058487 Epoch[106] Batch [0749]/[3760] Speed: 98.223960 samples/sec accuracy=39.908333 loss=2.664792 lr=0.058474 Epoch[106] Batch [0799]/[3760] Speed: 98.315469 samples/sec accuracy=39.916016 loss=2.664804 lr=0.058461 Epoch[106] 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accuracy=39.915865 loss=2.668128 lr=0.058334 Epoch[106] Batch [1349]/[3760] Speed: 97.966334 samples/sec accuracy=39.892361 loss=2.667746 lr=0.058322 Epoch[106] Batch [1399]/[3760] Speed: 98.006127 samples/sec accuracy=39.935268 loss=2.664824 lr=0.058309 Epoch[106] Batch [1449]/[3760] Speed: 97.269105 samples/sec accuracy=39.931034 loss=2.665305 lr=0.058296 Epoch[106] Batch [1499]/[3760] Speed: 96.732454 samples/sec accuracy=39.892708 loss=2.665242 lr=0.058283 Epoch[106] Batch [1549]/[3760] Speed: 98.862357 samples/sec accuracy=39.925403 loss=2.665204 lr=0.058271 Epoch[106] Batch [1599]/[3760] Speed: 97.732306 samples/sec accuracy=39.921875 loss=2.666114 lr=0.058258 Epoch[106] Batch [1649]/[3760] Speed: 99.120146 samples/sec accuracy=39.911932 loss=2.668218 lr=0.058245 Epoch[106] Batch [1699]/[3760] Speed: 95.869997 samples/sec accuracy=39.909007 loss=2.669869 lr=0.058233 Epoch[106] Batch [1749]/[3760] Speed: 99.599226 samples/sec accuracy=39.866964 loss=2.671657 lr=0.058220 Epoch[106] 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accuracy=39.628418 loss=2.680752 lr=0.057851 Epoch[106] Batch [3249]/[3760] Speed: 97.462497 samples/sec accuracy=39.610577 loss=2.681805 lr=0.057838 Epoch[106] Batch [3299]/[3760] Speed: 98.190250 samples/sec accuracy=39.604167 loss=2.682466 lr=0.057825 Epoch[106] Batch [3349]/[3760] Speed: 98.157980 samples/sec accuracy=39.588619 loss=2.683161 lr=0.057812 Epoch[106] Batch [3399]/[3760] Speed: 96.245967 samples/sec accuracy=39.579044 loss=2.683766 lr=0.057800 Epoch[106] Batch [3449]/[3760] Speed: 96.975258 samples/sec accuracy=39.565217 loss=2.684452 lr=0.057787 Epoch[106] Batch [3499]/[3760] Speed: 98.321408 samples/sec accuracy=39.550446 loss=2.684821 lr=0.057774 Epoch[106] Batch [3549]/[3760] Speed: 96.529240 samples/sec accuracy=39.563380 loss=2.684574 lr=0.057762 Epoch[106] Batch [3599]/[3760] Speed: 97.335915 samples/sec accuracy=39.565538 loss=2.684026 lr=0.057749 Epoch[106] Batch [3649]/[3760] Speed: 97.956517 samples/sec accuracy=39.575771 loss=2.683903 lr=0.057736 Epoch[106] Batch [3699]/[3760] Speed: 97.280886 samples/sec accuracy=39.574324 loss=2.683561 lr=0.057723 Epoch[106] Batch [3749]/[3760] Speed: 111.106692 samples/sec accuracy=39.543333 loss=2.684107 lr=0.057711 Batch [0049]/[0303]: acc-top1=43.000000 acc-top5=66.875000 Batch [0099]/[0303]: acc-top1=39.593750 acc-top5=64.703125 Batch [0149]/[0303]: acc-top1=41.333333 acc-top5=65.989583 Batch [0199]/[0303]: acc-top1=43.546875 acc-top5=68.140625 Batch [0249]/[0303]: acc-top1=42.275000 acc-top5=67.606250 Batch [0299]/[0303]: acc-top1=41.458333 acc-top5=67.416667 [Epoch 106] training: accuracy=39.549535 loss=2.684015 [Epoch 106] speed: 97 samples/sec time cost: 2667.501121 [Epoch 106] validation: acc-top1=41.413985 acc-top5=67.414398 loss=2.711437 Epoch[107] Batch [0049]/[3759] Speed: 65.706145 samples/sec accuracy=41.125000 loss=2.563403 lr=0.057695 Epoch[107] Batch [0099]/[3759] Speed: 94.972747 samples/sec accuracy=40.500000 loss=2.604370 lr=0.057682 Epoch[107] Batch [0149]/[3759] Speed: 97.750858 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lr=0.057313 Epoch[107] Batch [1599]/[3759] Speed: 97.856684 samples/sec accuracy=39.602539 loss=2.668541 lr=0.057300 Epoch[107] Batch [1649]/[3759] Speed: 96.996755 samples/sec accuracy=39.599432 loss=2.667724 lr=0.057287 Epoch[107] Batch [1699]/[3759] Speed: 95.768131 samples/sec accuracy=39.576287 loss=2.669634 lr=0.057274 Epoch[107] Batch [1749]/[3759] Speed: 98.805251 samples/sec accuracy=39.618750 loss=2.667590 lr=0.057262 Epoch[107] Batch [1799]/[3759] Speed: 97.891931 samples/sec accuracy=39.663194 loss=2.665781 lr=0.057249 Epoch[107] Batch [1849]/[3759] Speed: 98.024727 samples/sec accuracy=39.676520 loss=2.666041 lr=0.057236 Epoch[107] Batch [1899]/[3759] Speed: 94.561920 samples/sec accuracy=39.639803 loss=2.667868 lr=0.057223 Epoch[107] Batch [1949]/[3759] Speed: 99.989587 samples/sec accuracy=39.614583 loss=2.670261 lr=0.057211 Epoch[107] Batch [1999]/[3759] Speed: 97.104744 samples/sec accuracy=39.571094 loss=2.672413 lr=0.057198 Epoch[107] Batch [2049]/[3759] Speed: 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lr=0.057070 Epoch[107] Batch [2549]/[3759] Speed: 96.935907 samples/sec accuracy=39.525123 loss=2.674556 lr=0.057057 Epoch[107] Batch [2599]/[3759] Speed: 96.485305 samples/sec accuracy=39.539663 loss=2.674452 lr=0.057045 Epoch[107] Batch [2649]/[3759] Speed: 97.120711 samples/sec accuracy=39.542453 loss=2.674031 lr=0.057032 Epoch[107] Batch [2699]/[3759] Speed: 97.059647 samples/sec accuracy=39.537616 loss=2.675223 lr=0.057019 Epoch[107] Batch [2749]/[3759] Speed: 96.011383 samples/sec accuracy=39.521591 loss=2.675119 lr=0.057006 Epoch[107] Batch [2799]/[3759] Speed: 97.599018 samples/sec accuracy=39.537946 loss=2.674863 lr=0.056994 Epoch[107] Batch [2849]/[3759] Speed: 97.620566 samples/sec accuracy=39.529605 loss=2.675342 lr=0.056981 Epoch[107] Batch [2899]/[3759] Speed: 96.226204 samples/sec accuracy=39.515086 loss=2.676223 lr=0.056968 Epoch[107] Batch [2949]/[3759] Speed: 94.487678 samples/sec accuracy=39.523305 loss=2.675882 lr=0.056955 Epoch[107] Batch [2999]/[3759] Speed: 98.611120 samples/sec accuracy=39.532812 loss=2.675804 lr=0.056942 Epoch[107] Batch [3049]/[3759] Speed: 96.987418 samples/sec accuracy=39.542008 loss=2.675792 lr=0.056930 Epoch[107] Batch [3099]/[3759] Speed: 97.543769 samples/sec accuracy=39.564012 loss=2.674985 lr=0.056917 Epoch[107] Batch [3149]/[3759] Speed: 96.661286 samples/sec accuracy=39.578373 loss=2.674113 lr=0.056904 Epoch[107] Batch [3199]/[3759] Speed: 96.686847 samples/sec accuracy=39.579102 loss=2.674437 lr=0.056891 Epoch[107] Batch [3249]/[3759] Speed: 96.786313 samples/sec accuracy=39.590865 loss=2.674413 lr=0.056879 Epoch[107] Batch [3299]/[3759] Speed: 98.248941 samples/sec accuracy=39.592330 loss=2.674103 lr=0.056866 Epoch[107] Batch [3349]/[3759] Speed: 96.580520 samples/sec accuracy=39.608209 loss=2.674081 lr=0.056853 Epoch[107] Batch [3399]/[3759] Speed: 97.026685 samples/sec accuracy=39.594210 loss=2.674467 lr=0.056840 Epoch[107] Batch [3449]/[3759] Speed: 95.637426 samples/sec accuracy=39.582428 loss=2.674171 lr=0.056828 Epoch[107] Batch [3499]/[3759] Speed: 98.447203 samples/sec accuracy=39.593750 loss=2.674482 lr=0.056815 Epoch[107] Batch [3549]/[3759] Speed: 97.971722 samples/sec accuracy=39.592430 loss=2.674535 lr=0.056802 Epoch[107] Batch [3599]/[3759] Speed: 96.615783 samples/sec accuracy=39.561198 loss=2.675868 lr=0.056789 Epoch[107] Batch [3649]/[3759] Speed: 97.911207 samples/sec accuracy=39.536387 loss=2.676597 lr=0.056776 Epoch[107] Batch [3699]/[3759] Speed: 96.514898 samples/sec accuracy=39.540118 loss=2.676130 lr=0.056764 Epoch[107] Batch [3749]/[3759] Speed: 109.854829 samples/sec accuracy=39.549583 loss=2.675982 lr=0.056751 Batch [0049]/[0303]: acc-top1=41.593750 acc-top5=66.343750 Batch [0099]/[0303]: acc-top1=37.187500 acc-top5=63.468750 Batch [0149]/[0303]: acc-top1=39.041667 acc-top5=65.166667 Batch [0199]/[0303]: acc-top1=41.851562 acc-top5=67.210938 Batch [0249]/[0303]: acc-top1=41.100000 acc-top5=67.250000 Batch [0299]/[0303]: acc-top1=40.546875 acc-top5=67.260417 [Epoch 107] training: accuracy=39.545923 loss=2.676026 [Epoch 107] speed: 96 samples/sec time cost: 2678.456185 [Epoch 107] validation: acc-top1=40.501238 acc-top5=67.223597 loss=2.744185 Epoch[108] Batch [0049]/[3760] Speed: 66.663902 samples/sec accuracy=40.156250 loss=2.620024 lr=0.056736 Epoch[108] Batch [0099]/[3760] Speed: 94.030407 samples/sec accuracy=40.000000 loss=2.605311 lr=0.056723 Epoch[108] Batch [0149]/[3760] Speed: 97.202626 samples/sec accuracy=39.979167 loss=2.626793 lr=0.056710 Epoch[108] Batch [0199]/[3760] Speed: 96.058502 samples/sec accuracy=39.632812 loss=2.640868 lr=0.056697 Epoch[108] Batch [0249]/[3760] Speed: 96.702870 samples/sec accuracy=39.606250 loss=2.655822 lr=0.056685 Epoch[108] Batch [0299]/[3760] Speed: 97.280622 samples/sec accuracy=39.739583 loss=2.652825 lr=0.056672 Epoch[108] Batch [0349]/[3760] Speed: 97.335147 samples/sec accuracy=39.906250 loss=2.651367 lr=0.056659 Epoch[108] Batch [0399]/[3760] Speed: 97.140901 samples/sec accuracy=40.031250 loss=2.650291 lr=0.056646 Epoch[108] Batch [0449]/[3760] Speed: 95.503923 samples/sec accuracy=40.048611 loss=2.653100 lr=0.056634 Epoch[108] Batch [0499]/[3760] Speed: 98.997697 samples/sec accuracy=40.018750 loss=2.655417 lr=0.056621 Epoch[108] Batch [0549]/[3760] Speed: 98.034133 samples/sec accuracy=40.133523 loss=2.649469 lr=0.056608 Epoch[108] Batch [0599]/[3760] Speed: 97.561779 samples/sec accuracy=40.085938 loss=2.652585 lr=0.056595 Epoch[108] Batch [0649]/[3760] Speed: 96.899548 samples/sec accuracy=40.016827 loss=2.654110 lr=0.056582 Epoch[108] Batch [0699]/[3760] Speed: 97.141401 samples/sec accuracy=40.071429 loss=2.651574 lr=0.056570 Epoch[108] Batch [0749]/[3760] Speed: 96.979634 samples/sec accuracy=40.135417 loss=2.650689 lr=0.056557 Epoch[108] Batch [0799]/[3760] Speed: 97.789394 samples/sec accuracy=40.035156 loss=2.656066 lr=0.056544 Epoch[108] Batch [0849]/[3760] Speed: 97.415140 samples/sec accuracy=40.016544 loss=2.655115 lr=0.056531 Epoch[108] 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accuracy=39.915509 loss=2.662946 lr=0.056403 Epoch[108] Batch [1399]/[3760] Speed: 97.240250 samples/sec accuracy=39.919643 loss=2.663333 lr=0.056391 Epoch[108] Batch [1449]/[3760] Speed: 97.552652 samples/sec accuracy=39.922414 loss=2.664709 lr=0.056378 Epoch[108] Batch [1499]/[3760] Speed: 96.939209 samples/sec accuracy=39.926042 loss=2.663604 lr=0.056365 Epoch[108] Batch [1549]/[3760] Speed: 96.605515 samples/sec accuracy=39.935484 loss=2.662984 lr=0.056352 Epoch[108] Batch [1599]/[3760] Speed: 97.468056 samples/sec accuracy=39.909180 loss=2.663291 lr=0.056339 Epoch[108] Batch [1649]/[3760] Speed: 96.759479 samples/sec accuracy=39.872159 loss=2.664168 lr=0.056327 Epoch[108] Batch [1699]/[3760] Speed: 97.802622 samples/sec accuracy=39.913603 loss=2.663776 lr=0.056314 Epoch[108] Batch [1749]/[3760] Speed: 96.449292 samples/sec accuracy=39.910714 loss=2.664764 lr=0.056301 Epoch[108] Batch [1799]/[3760] Speed: 98.536907 samples/sec accuracy=39.879340 loss=2.666517 lr=0.056288 Epoch[108] Batch [1849]/[3760] Speed: 97.159713 samples/sec accuracy=39.926520 loss=2.664560 lr=0.056275 Epoch[108] Batch [1899]/[3760] Speed: 98.298344 samples/sec accuracy=39.904605 loss=2.663585 lr=0.056263 Epoch[108] Batch [1949]/[3760] Speed: 96.142559 samples/sec accuracy=39.904647 loss=2.664013 lr=0.056250 Epoch[108] Batch [1999]/[3760] Speed: 98.652394 samples/sec accuracy=39.899219 loss=2.664970 lr=0.056237 Epoch[108] Batch [2049]/[3760] Speed: 97.445419 samples/sec accuracy=39.925305 loss=2.664415 lr=0.056224 Epoch[108] Batch [2099]/[3760] Speed: 97.482089 samples/sec accuracy=39.864583 loss=2.666019 lr=0.056211 Epoch[108] Batch [2149]/[3760] Speed: 96.340563 samples/sec accuracy=39.873547 loss=2.666211 lr=0.056199 Epoch[108] Batch [2199]/[3760] Speed: 98.098876 samples/sec accuracy=39.869318 loss=2.666368 lr=0.056186 Epoch[108] Batch [2249]/[3760] Speed: 97.542478 samples/sec accuracy=39.854861 loss=2.667046 lr=0.056173 Epoch[108] Batch [2299]/[3760] Speed: 96.238335 samples/sec accuracy=39.836277 loss=2.667088 lr=0.056160 Epoch[108] Batch [2349]/[3760] Speed: 98.055544 samples/sec accuracy=39.839096 loss=2.666928 lr=0.056147 Epoch[108] Batch [2399]/[3760] Speed: 96.275891 samples/sec accuracy=39.846354 loss=2.665594 lr=0.056135 Epoch[108] Batch [2449]/[3760] Speed: 97.064596 samples/sec accuracy=39.854592 loss=2.665276 lr=0.056122 Epoch[108] Batch [2499]/[3760] Speed: 96.845264 samples/sec accuracy=39.847500 loss=2.665384 lr=0.056109 Epoch[108] Batch [2549]/[3760] Speed: 97.127821 samples/sec accuracy=39.838848 loss=2.665835 lr=0.056096 Epoch[108] Batch [2599]/[3760] Speed: 97.416239 samples/sec accuracy=39.811298 loss=2.667130 lr=0.056083 Epoch[108] Batch [2649]/[3760] Speed: 97.718117 samples/sec accuracy=39.834316 loss=2.667219 lr=0.056071 Epoch[108] Batch [2699]/[3760] Speed: 98.417211 samples/sec accuracy=39.806134 loss=2.668116 lr=0.056058 Epoch[108] Batch [2749]/[3760] Speed: 97.769767 samples/sec accuracy=39.808523 loss=2.667714 lr=0.056045 Epoch[108] Batch [2799]/[3760] Speed: 96.171088 samples/sec accuracy=39.792969 loss=2.668795 lr=0.056032 Epoch[108] Batch [2849]/[3760] Speed: 98.397639 samples/sec accuracy=39.766996 loss=2.669626 lr=0.056019 Epoch[108] Batch [2899]/[3760] Speed: 97.452336 samples/sec accuracy=39.766164 loss=2.670349 lr=0.056007 Epoch[108] Batch [2949]/[3760] Speed: 98.167020 samples/sec accuracy=39.769597 loss=2.670464 lr=0.055994 Epoch[108] Batch [2999]/[3760] Speed: 95.784905 samples/sec accuracy=39.777604 loss=2.671164 lr=0.055981 Epoch[108] Batch [3049]/[3760] Speed: 98.643823 samples/sec accuracy=39.766906 loss=2.671378 lr=0.055968 Epoch[108] Batch [3099]/[3760] Speed: 97.657583 samples/sec accuracy=39.762601 loss=2.671594 lr=0.055955 Epoch[108] Batch [3149]/[3760] Speed: 97.663172 samples/sec accuracy=39.780258 loss=2.670918 lr=0.055943 Epoch[108] Batch [3199]/[3760] Speed: 97.549997 samples/sec accuracy=39.752930 loss=2.672839 lr=0.055930 Epoch[108] Batch [3249]/[3760] Speed: 96.592854 samples/sec accuracy=39.757692 loss=2.673371 lr=0.055917 Epoch[108] Batch [3299]/[3760] Speed: 97.655887 samples/sec accuracy=39.769413 loss=2.672714 lr=0.055904 Epoch[108] Batch [3349]/[3760] Speed: 97.393448 samples/sec accuracy=39.785448 loss=2.672133 lr=0.055891 Epoch[108] Batch [3399]/[3760] Speed: 97.505443 samples/sec accuracy=39.799632 loss=2.670953 lr=0.055879 Epoch[108] Batch [3449]/[3760] Speed: 96.453377 samples/sec accuracy=39.797554 loss=2.671402 lr=0.055866 Epoch[108] Batch [3499]/[3760] Speed: 97.659039 samples/sec accuracy=39.796429 loss=2.671767 lr=0.055853 Epoch[108] Batch [3549]/[3760] Speed: 97.697714 samples/sec accuracy=39.784331 loss=2.671852 lr=0.055840 Epoch[108] Batch [3599]/[3760] Speed: 97.525446 samples/sec accuracy=39.781684 loss=2.671887 lr=0.055827 Epoch[108] Batch [3649]/[3760] Speed: 97.268671 samples/sec accuracy=39.787671 loss=2.671769 lr=0.055815 Epoch[108] Batch [3699]/[3760] Speed: 97.307113 samples/sec accuracy=39.789696 loss=2.671190 lr=0.055802 Epoch[108] Batch [3749]/[3760] Speed: 109.727248 samples/sec accuracy=39.810000 loss=2.670711 lr=0.055789 Batch [0049]/[0303]: acc-top1=40.937500 acc-top5=67.750000 Batch [0099]/[0303]: acc-top1=37.343750 acc-top5=65.671875 Batch [0149]/[0303]: acc-top1=39.500000 acc-top5=67.020833 Batch [0199]/[0303]: acc-top1=42.039062 acc-top5=68.617188 Batch [0249]/[0303]: acc-top1=41.725000 acc-top5=68.431250 Batch [0299]/[0303]: acc-top1=41.364583 acc-top5=68.453125 [Epoch 108] training: accuracy=39.808843 loss=2.670974 [Epoch 108] speed: 96 samples/sec time cost: 2676.864300 [Epoch 108] validation: acc-top1=41.372731 acc-top5=68.456064 loss=2.736006 Epoch[109] Batch [0049]/[3760] Speed: 66.813259 samples/sec accuracy=41.343750 loss=2.559336 lr=0.055774 Epoch[109] Batch [0099]/[3760] Speed: 93.065724 samples/sec accuracy=40.640625 loss=2.598215 lr=0.055761 Epoch[109] Batch [0149]/[3760] Speed: 97.682798 samples/sec accuracy=40.687500 loss=2.612131 lr=0.055748 Epoch[109] Batch [0199]/[3760] Speed: 95.148842 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97.420907 samples/sec accuracy=40.069672 loss=2.652422 lr=0.055004 Epoch[109] Batch [3099]/[3760] Speed: 96.306711 samples/sec accuracy=40.055444 loss=2.652846 lr=0.054991 Epoch[109] Batch [3149]/[3760] Speed: 97.606145 samples/sec accuracy=40.043155 loss=2.652579 lr=0.054979 Epoch[109] Batch [3199]/[3760] Speed: 97.235449 samples/sec accuracy=40.038574 loss=2.652780 lr=0.054966 Epoch[109] Batch [3249]/[3760] Speed: 97.365082 samples/sec accuracy=40.046154 loss=2.654099 lr=0.054953 Epoch[109] Batch [3299]/[3760] Speed: 95.467837 samples/sec accuracy=40.018466 loss=2.656061 lr=0.054940 Epoch[109] Batch [3349]/[3760] Speed: 97.457075 samples/sec accuracy=40.023787 loss=2.655887 lr=0.054927 Epoch[109] Batch [3399]/[3760] Speed: 97.280297 samples/sec accuracy=40.028493 loss=2.655585 lr=0.054914 Epoch[109] Batch [3449]/[3760] Speed: 96.102330 samples/sec accuracy=40.019475 loss=2.655463 lr=0.054902 Epoch[109] Batch [3499]/[3760] Speed: 96.341936 samples/sec accuracy=40.020982 loss=2.655011 lr=0.054889 Epoch[109] Batch [3549]/[3760] Speed: 97.545982 samples/sec accuracy=40.032130 loss=2.654812 lr=0.054876 Epoch[109] Batch [3599]/[3760] Speed: 97.015768 samples/sec accuracy=40.015191 loss=2.655159 lr=0.054863 Epoch[109] Batch [3649]/[3760] Speed: 97.607083 samples/sec accuracy=40.008990 loss=2.655655 lr=0.054850 Epoch[109] Batch [3699]/[3760] Speed: 96.618505 samples/sec accuracy=40.013936 loss=2.655659 lr=0.054837 Epoch[109] Batch [3749]/[3760] Speed: 109.357873 samples/sec accuracy=40.016250 loss=2.655642 lr=0.054825 Batch [0049]/[0303]: acc-top1=40.906250 acc-top5=66.843750 Batch [0099]/[0303]: acc-top1=38.312500 acc-top5=64.890625 Batch [0149]/[0303]: acc-top1=39.354167 acc-top5=65.968750 Batch [0199]/[0303]: acc-top1=41.984375 acc-top5=67.914062 Batch [0249]/[0303]: acc-top1=41.137500 acc-top5=67.468750 Batch [0299]/[0303]: acc-top1=40.338542 acc-top5=67.348958 [Epoch 109] training: accuracy=40.002909 loss=2.656361 [Epoch 109] speed: 96 samples/sec time cost: 2686.269025 [Epoch 109] validation: acc-top1=40.331064 acc-top5=67.383457 loss=2.803386 Epoch[110] Batch [0049]/[3759] Speed: 67.256754 samples/sec accuracy=41.468750 loss=2.585738 lr=0.054809 Epoch[110] Batch [0099]/[3759] Speed: 93.774579 samples/sec accuracy=41.390625 loss=2.586321 lr=0.054796 Epoch[110] Batch [0149]/[3759] Speed: 96.389792 samples/sec accuracy=40.604167 loss=2.612727 lr=0.054783 Epoch[110] Batch [0199]/[3759] Speed: 95.736159 samples/sec accuracy=40.617188 loss=2.612869 lr=0.054771 Epoch[110] Batch [0249]/[3759] Speed: 97.938138 samples/sec accuracy=40.543750 loss=2.612175 lr=0.054758 Epoch[110] Batch [0299]/[3759] Speed: 95.483721 samples/sec accuracy=40.567708 loss=2.611806 lr=0.054745 Epoch[110] Batch [0349]/[3759] Speed: 97.675557 samples/sec accuracy=40.517857 loss=2.620276 lr=0.054732 Epoch[110] Batch [0399]/[3759] Speed: 97.110789 samples/sec accuracy=40.558594 loss=2.621658 lr=0.054719 Epoch[110] Batch [0449]/[3759] Speed: 97.303215 samples/sec 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[0049]/[0303]: acc-top1=41.281250 acc-top5=65.468750 Batch [0099]/[0303]: acc-top1=37.968750 acc-top5=64.250000 Batch [0149]/[0303]: acc-top1=39.385417 acc-top5=65.427083 Batch [0199]/[0303]: acc-top1=42.617188 acc-top5=67.960938 Batch [0249]/[0303]: acc-top1=41.825000 acc-top5=67.662500 Batch [0299]/[0303]: acc-top1=41.536458 acc-top5=67.567708 [Epoch 110] training: accuracy=40.306597 loss=2.645118 [Epoch 110] speed: 96 samples/sec time cost: 2679.323485 [Epoch 110] validation: acc-top1=41.594472 acc-top5=67.584571 loss=2.663720 Epoch[111] Batch [0049]/[3760] Speed: 67.545792 samples/sec accuracy=40.531250 loss=2.603448 lr=0.053843 Epoch[111] Batch [0099]/[3760] Speed: 94.136354 samples/sec accuracy=41.125000 loss=2.576545 lr=0.053830 Epoch[111] Batch [0149]/[3760] Speed: 98.470852 samples/sec accuracy=41.145833 loss=2.572562 lr=0.053817 Epoch[111] Batch [0199]/[3760] Speed: 95.438577 samples/sec accuracy=41.250000 loss=2.576008 lr=0.053805 Epoch[111] Batch [0249]/[3760] Speed: 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lr=0.053431 Epoch[111] Batch [1699]/[3760] Speed: 97.563254 samples/sec accuracy=40.568015 loss=2.628951 lr=0.053419 Epoch[111] Batch [1749]/[3760] Speed: 95.755379 samples/sec accuracy=40.550893 loss=2.629933 lr=0.053406 Epoch[111] Batch [1799]/[3760] Speed: 98.076247 samples/sec accuracy=40.552083 loss=2.629800 lr=0.053393 Epoch[111] Batch [1849]/[3760] Speed: 97.490293 samples/sec accuracy=40.521959 loss=2.631789 lr=0.053380 Epoch[111] Batch [1899]/[3760] Speed: 97.532509 samples/sec accuracy=40.520559 loss=2.631951 lr=0.053367 Epoch[111] Batch [1949]/[3760] Speed: 97.032249 samples/sec accuracy=40.540064 loss=2.630715 lr=0.053354 Epoch[111] Batch [1999]/[3760] Speed: 96.484029 samples/sec accuracy=40.547656 loss=2.631062 lr=0.053341 Epoch[111] Batch [2049]/[3760] Speed: 97.312744 samples/sec accuracy=40.509146 loss=2.633176 lr=0.053329 Epoch[111] Batch [2099]/[3760] Speed: 97.142069 samples/sec accuracy=40.538690 loss=2.632609 lr=0.053316 Epoch[111] Batch [2149]/[3760] Speed: 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lr=0.053187 Epoch[111] Batch [2649]/[3760] Speed: 96.621886 samples/sec accuracy=40.491156 loss=2.636669 lr=0.053174 Epoch[111] Batch [2699]/[3760] Speed: 97.937564 samples/sec accuracy=40.475694 loss=2.637176 lr=0.053161 Epoch[111] Batch [2749]/[3760] Speed: 95.938073 samples/sec accuracy=40.461364 loss=2.637555 lr=0.053148 Epoch[111] Batch [2799]/[3760] Speed: 97.985168 samples/sec accuracy=40.452009 loss=2.637141 lr=0.053135 Epoch[111] Batch [2849]/[3760] Speed: 96.698156 samples/sec accuracy=40.450658 loss=2.637168 lr=0.053123 Epoch[111] Batch [2899]/[3760] Speed: 96.901231 samples/sec accuracy=40.465517 loss=2.637355 lr=0.053110 Epoch[111] Batch [2949]/[3760] Speed: 98.076526 samples/sec accuracy=40.490996 loss=2.635632 lr=0.053097 Epoch[111] Batch [2999]/[3760] Speed: 97.448995 samples/sec accuracy=40.473958 loss=2.635804 lr=0.053084 Epoch[111] Batch [3049]/[3760] Speed: 95.544256 samples/sec accuracy=40.463627 loss=2.636603 lr=0.053071 Epoch[111] Batch [3099]/[3760] Speed: 99.110770 samples/sec accuracy=40.442036 loss=2.637269 lr=0.053058 Epoch[111] Batch [3149]/[3760] Speed: 97.260000 samples/sec accuracy=40.434028 loss=2.637832 lr=0.053045 Epoch[111] Batch [3199]/[3760] Speed: 97.715340 samples/sec accuracy=40.432617 loss=2.638396 lr=0.053033 Epoch[111] Batch [3249]/[3760] Speed: 96.201419 samples/sec accuracy=40.438462 loss=2.638458 lr=0.053020 Epoch[111] Batch [3299]/[3760] Speed: 96.483178 samples/sec accuracy=40.449337 loss=2.638070 lr=0.053007 Epoch[111] Batch [3349]/[3760] Speed: 97.686670 samples/sec accuracy=40.462687 loss=2.637284 lr=0.052994 Epoch[111] Batch [3399]/[3760] Speed: 97.219665 samples/sec accuracy=40.471967 loss=2.637771 lr=0.052981 Epoch[111] Batch [3449]/[3760] Speed: 97.869306 samples/sec accuracy=40.474185 loss=2.637748 lr=0.052968 Epoch[111] Batch [3499]/[3760] Speed: 95.838137 samples/sec accuracy=40.490625 loss=2.636382 lr=0.052955 Epoch[111] Batch [3549]/[3760] Speed: 97.452756 samples/sec accuracy=40.475352 loss=2.636294 lr=0.052942 Epoch[111] Batch [3599]/[3760] Speed: 97.326862 samples/sec accuracy=40.467882 loss=2.636713 lr=0.052930 Epoch[111] Batch [3649]/[3760] Speed: 97.048503 samples/sec accuracy=40.438784 loss=2.637503 lr=0.052917 Epoch[111] Batch [3699]/[3760] Speed: 96.202619 samples/sec accuracy=40.464949 loss=2.636440 lr=0.052904 Epoch[111] Batch [3749]/[3760] Speed: 108.041925 samples/sec accuracy=40.460417 loss=2.636539 lr=0.052891 Batch [0049]/[0303]: acc-top1=41.500000 acc-top5=66.218750 Batch [0099]/[0303]: acc-top1=38.953125 acc-top5=65.421875 Batch [0149]/[0303]: acc-top1=39.947917 acc-top5=66.020833 Batch [0199]/[0303]: acc-top1=42.929688 acc-top5=68.328125 Batch [0249]/[0303]: acc-top1=41.837500 acc-top5=67.743750 Batch [0299]/[0303]: acc-top1=41.343750 acc-top5=67.812500 [Epoch 111] training: accuracy=40.464594 loss=2.636233 [Epoch 111] speed: 96 samples/sec time cost: 2679.866187 [Epoch 111] validation: acc-top1=41.243812 acc-top5=67.795998 loss=2.694838 Epoch[112] Batch 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accuracy=41.368750 loss=2.612872 lr=0.052760 Epoch[112] Batch [0549]/[3760] Speed: 96.667743 samples/sec accuracy=41.411932 loss=2.608728 lr=0.052747 Epoch[112] Batch [0599]/[3760] Speed: 96.297237 samples/sec accuracy=41.312500 loss=2.613176 lr=0.052734 Epoch[112] Batch [0649]/[3760] Speed: 96.694373 samples/sec accuracy=41.233173 loss=2.614534 lr=0.052721 Epoch[112] Batch [0699]/[3760] Speed: 97.727227 samples/sec accuracy=41.131696 loss=2.616979 lr=0.052708 Epoch[112] Batch [0749]/[3760] Speed: 96.924022 samples/sec accuracy=41.110417 loss=2.615815 lr=0.052695 Epoch[112] Batch [0799]/[3760] Speed: 97.160598 samples/sec accuracy=41.105469 loss=2.618235 lr=0.052682 Epoch[112] Batch [0849]/[3760] Speed: 95.971379 samples/sec accuracy=41.121324 loss=2.617203 lr=0.052669 Epoch[112] Batch [0899]/[3760] Speed: 97.522713 samples/sec accuracy=41.102431 loss=2.617794 lr=0.052657 Epoch[112] Batch [0949]/[3760] Speed: 97.586589 samples/sec accuracy=41.111842 loss=2.616494 lr=0.052644 Epoch[112] 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accuracy=40.819010 loss=2.622651 lr=0.052270 Epoch[112] Batch [2449]/[3760] Speed: 96.872498 samples/sec accuracy=40.779337 loss=2.623386 lr=0.052257 Epoch[112] Batch [2499]/[3760] Speed: 97.693352 samples/sec accuracy=40.778125 loss=2.622824 lr=0.052244 Epoch[112] Batch [2549]/[3760] Speed: 96.760121 samples/sec accuracy=40.765319 loss=2.622727 lr=0.052231 Epoch[112] Batch [2599]/[3760] Speed: 96.191944 samples/sec accuracy=40.735577 loss=2.624477 lr=0.052219 Epoch[112] Batch [2649]/[3760] Speed: 98.465066 samples/sec accuracy=40.725236 loss=2.625075 lr=0.052206 Epoch[112] Batch [2699]/[3760] Speed: 97.676959 samples/sec accuracy=40.711806 loss=2.624626 lr=0.052193 Epoch[112] Batch [2749]/[3760] Speed: 97.780822 samples/sec accuracy=40.702841 loss=2.625648 lr=0.052180 Epoch[112] Batch [2799]/[3760] Speed: 96.134173 samples/sec accuracy=40.717634 loss=2.625038 lr=0.052167 Epoch[112] Batch [2849]/[3760] Speed: 97.846658 samples/sec accuracy=40.749452 loss=2.624437 lr=0.052154 Epoch[112] 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accuracy=40.662313 loss=2.628939 lr=0.052025 Epoch[112] Batch [3399]/[3760] Speed: 97.647883 samples/sec accuracy=40.664522 loss=2.628356 lr=0.052012 Epoch[112] Batch [3449]/[3760] Speed: 96.833776 samples/sec accuracy=40.646286 loss=2.629459 lr=0.051999 Epoch[112] Batch [3499]/[3760] Speed: 96.702751 samples/sec accuracy=40.651339 loss=2.628747 lr=0.051987 Epoch[112] Batch [3549]/[3760] Speed: 98.141397 samples/sec accuracy=40.672535 loss=2.627728 lr=0.051974 Epoch[112] Batch [3599]/[3760] Speed: 97.311960 samples/sec accuracy=40.663628 loss=2.627208 lr=0.051961 Epoch[112] Batch [3649]/[3760] Speed: 98.096946 samples/sec accuracy=40.666524 loss=2.626853 lr=0.051948 Epoch[112] Batch [3699]/[3760] Speed: 95.923345 samples/sec accuracy=40.677787 loss=2.626635 lr=0.051935 Epoch[112] Batch [3749]/[3760] Speed: 111.576585 samples/sec accuracy=40.667500 loss=2.626726 lr=0.051922 Batch [0049]/[0303]: acc-top1=42.250000 acc-top5=68.593750 Batch [0099]/[0303]: acc-top1=39.671875 acc-top5=66.875000 Batch [0149]/[0303]: acc-top1=40.770833 acc-top5=67.458333 Batch [0199]/[0303]: acc-top1=43.406250 acc-top5=69.101562 Batch [0249]/[0303]: acc-top1=42.881250 acc-top5=69.087500 Batch [0299]/[0303]: acc-top1=41.916667 acc-top5=68.880208 [Epoch 112] training: accuracy=40.670296 loss=2.626488 [Epoch 112] speed: 96 samples/sec time cost: 2681.149108 [Epoch 112] validation: acc-top1=41.878094 acc-top5=68.909860 loss=2.754801 Epoch[113] Batch [0049]/[3759] Speed: 67.953043 samples/sec accuracy=40.625000 loss=2.613145 lr=0.051907 Epoch[113] Batch [0099]/[3759] Speed: 92.301048 samples/sec accuracy=40.578125 loss=2.630387 lr=0.051894 Epoch[113] Batch [0149]/[3759] Speed: 98.932590 samples/sec accuracy=40.479167 loss=2.619316 lr=0.051881 Epoch[113] Batch [0199]/[3759] Speed: 95.240118 samples/sec accuracy=40.867188 loss=2.603014 lr=0.051868 Epoch[113] Batch [0249]/[3759] Speed: 97.716340 samples/sec accuracy=41.075000 loss=2.595116 lr=0.051855 Epoch[113] Batch [0299]/[3759] 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accuracy=41.001838 loss=2.608019 lr=0.051481 Epoch[113] Batch [1749]/[3759] Speed: 97.307734 samples/sec accuracy=40.972321 loss=2.608160 lr=0.051468 Epoch[113] Batch [1799]/[3759] Speed: 97.912781 samples/sec accuracy=40.973958 loss=2.608403 lr=0.051456 Epoch[113] Batch [1849]/[3759] Speed: 94.658671 samples/sec accuracy=40.969595 loss=2.608099 lr=0.051443 Epoch[113] Batch [1899]/[3759] Speed: 99.537194 samples/sec accuracy=40.959704 loss=2.609207 lr=0.051430 Epoch[113] Batch [1949]/[3759] Speed: 97.201036 samples/sec accuracy=40.929487 loss=2.608908 lr=0.051417 Epoch[113] Batch [1999]/[3759] Speed: 98.222862 samples/sec accuracy=40.876563 loss=2.610976 lr=0.051404 Epoch[113] Batch [2049]/[3759] Speed: 97.653746 samples/sec accuracy=40.895579 loss=2.610028 lr=0.051391 Epoch[113] Batch [2099]/[3759] Speed: 96.777208 samples/sec accuracy=40.895833 loss=2.609951 lr=0.051378 Epoch[113] Batch [2149]/[3759] Speed: 97.923806 samples/sec accuracy=40.902616 loss=2.610522 lr=0.051365 Epoch[113] 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accuracy=40.897995 loss=2.611988 lr=0.051236 Epoch[113] Batch [2699]/[3759] Speed: 97.749005 samples/sec accuracy=40.896412 loss=2.611311 lr=0.051223 Epoch[113] Batch [2749]/[3759] Speed: 97.149691 samples/sec accuracy=40.874432 loss=2.611741 lr=0.051211 Epoch[113] Batch [2799]/[3759] Speed: 97.997949 samples/sec accuracy=40.870536 loss=2.612016 lr=0.051198 Epoch[113] Batch [2849]/[3759] Speed: 97.361903 samples/sec accuracy=40.867873 loss=2.612028 lr=0.051185 Epoch[113] Batch [2899]/[3759] Speed: 97.745856 samples/sec accuracy=40.874461 loss=2.611996 lr=0.051172 Epoch[113] Batch [2949]/[3759] Speed: 96.046463 samples/sec accuracy=40.887182 loss=2.611353 lr=0.051159 Epoch[113] Batch [2999]/[3759] Speed: 99.496667 samples/sec accuracy=40.864583 loss=2.612068 lr=0.051146 Epoch[113] Batch [3049]/[3759] Speed: 97.157841 samples/sec accuracy=40.837602 loss=2.613421 lr=0.051133 Epoch[113] Batch [3099]/[3759] Speed: 98.628225 samples/sec accuracy=40.838206 loss=2.613858 lr=0.051120 Epoch[113] Batch [3149]/[3759] Speed: 97.351132 samples/sec accuracy=40.858631 loss=2.613858 lr=0.051107 Epoch[113] Batch [3199]/[3759] Speed: 97.284585 samples/sec accuracy=40.843750 loss=2.614098 lr=0.051095 Epoch[113] Batch [3249]/[3759] Speed: 97.517823 samples/sec accuracy=40.843750 loss=2.613965 lr=0.051082 Epoch[113] Batch [3299]/[3759] Speed: 97.852634 samples/sec accuracy=40.823864 loss=2.615128 lr=0.051069 Epoch[113] Batch [3349]/[3759] Speed: 98.340581 samples/sec accuracy=40.829757 loss=2.614781 lr=0.051056 Epoch[113] Batch [3399]/[3759] Speed: 95.856966 samples/sec accuracy=40.844669 loss=2.614391 lr=0.051043 Epoch[113] Batch [3449]/[3759] Speed: 99.305223 samples/sec accuracy=40.855978 loss=2.613474 lr=0.051030 Epoch[113] Batch [3499]/[3759] Speed: 97.208242 samples/sec accuracy=40.854464 loss=2.613729 lr=0.051017 Epoch[113] Batch [3549]/[3759] Speed: 97.563451 samples/sec accuracy=40.851673 loss=2.613685 lr=0.051004 Epoch[113] Batch [3599]/[3759] Speed: 97.263396 samples/sec accuracy=40.865451 loss=2.612509 lr=0.050991 Epoch[113] Batch [3649]/[3759] Speed: 97.333460 samples/sec accuracy=40.867723 loss=2.612029 lr=0.050978 Epoch[113] Batch [3699]/[3759] Speed: 98.566628 samples/sec accuracy=40.877111 loss=2.611797 lr=0.050966 Epoch[113] Batch [3749]/[3759] Speed: 112.490583 samples/sec accuracy=40.866250 loss=2.612204 lr=0.050953 Batch [0049]/[0303]: acc-top1=42.250000 acc-top5=67.250000 Batch [0099]/[0303]: acc-top1=39.109375 acc-top5=64.750000 Batch [0149]/[0303]: acc-top1=40.718750 acc-top5=66.302083 Batch [0199]/[0303]: acc-top1=43.257812 acc-top5=68.203125 Batch [0249]/[0303]: acc-top1=41.987500 acc-top5=67.650000 Batch [0299]/[0303]: acc-top1=41.031250 acc-top5=67.317708 [Epoch 113] training: accuracy=40.864425 loss=2.612224 [Epoch 113] speed: 97 samples/sec time cost: 2668.093850 [Epoch 113] validation: acc-top1=41.032384 acc-top5=67.342203 loss=2.776004 Epoch[114] Batch [0049]/[3760] Speed: 68.048517 samples/sec accuracy=42.375000 loss=2.508897 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acc-top1=43.187500 acc-top5=69.679688 Batch [0249]/[0303]: acc-top1=42.537500 acc-top5=69.456250 Batch [0299]/[0303]: acc-top1=42.098958 acc-top5=69.239583 [Epoch 114] training: accuracy=41.095828 loss=2.599057 [Epoch 114] speed: 96 samples/sec time cost: 2677.312860 [Epoch 114] validation: acc-top1=42.089521 acc-top5=69.188325 loss=2.679560 Epoch[115] Batch [0049]/[3760] Speed: 67.572529 samples/sec accuracy=40.656250 loss=2.642210 lr=0.049968 Epoch[115] Batch [0099]/[3760] Speed: 92.712205 samples/sec accuracy=41.453125 loss=2.600678 lr=0.049955 Epoch[115] Batch [0149]/[3760] Speed: 98.886185 samples/sec accuracy=41.760417 loss=2.593926 lr=0.049942 Epoch[115] Batch [0199]/[3760] Speed: 95.693566 samples/sec accuracy=41.921875 loss=2.584361 lr=0.049929 Epoch[115] Batch [0249]/[3760] Speed: 98.841892 samples/sec accuracy=41.950000 loss=2.585357 lr=0.049916 Epoch[115] Batch [0299]/[3760] Speed: 92.793890 samples/sec accuracy=41.828125 loss=2.586278 lr=0.049903 Epoch[115] Batch 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accuracy=41.716797 loss=2.580363 lr=0.049774 Epoch[115] Batch [0849]/[3760] Speed: 97.047521 samples/sec accuracy=41.751838 loss=2.575648 lr=0.049761 Epoch[115] Batch [0899]/[3760] Speed: 97.663179 samples/sec accuracy=41.751736 loss=2.577787 lr=0.049748 Epoch[115] Batch [0949]/[3760] Speed: 98.447784 samples/sec accuracy=41.792763 loss=2.574903 lr=0.049735 Epoch[115] Batch [0999]/[3760] Speed: 96.393787 samples/sec accuracy=41.704687 loss=2.576672 lr=0.049723 Epoch[115] Batch [1049]/[3760] Speed: 98.244015 samples/sec accuracy=41.627976 loss=2.580176 lr=0.049710 Epoch[115] Batch [1099]/[3760] Speed: 96.494501 samples/sec accuracy=41.647727 loss=2.580811 lr=0.049697 Epoch[115] Batch [1149]/[3760] Speed: 98.535209 samples/sec accuracy=41.622283 loss=2.582730 lr=0.049684 Epoch[115] Batch [1199]/[3760] Speed: 95.887401 samples/sec accuracy=41.625000 loss=2.582175 lr=0.049671 Epoch[115] Batch [1249]/[3760] Speed: 98.017226 samples/sec accuracy=41.670000 loss=2.580337 lr=0.049658 Epoch[115] 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accuracy=41.568750 loss=2.584452 lr=0.049529 Epoch[115] Batch [1799]/[3760] Speed: 98.044355 samples/sec accuracy=41.592882 loss=2.583296 lr=0.049516 Epoch[115] Batch [1849]/[3760] Speed: 97.684423 samples/sec accuracy=41.596284 loss=2.584108 lr=0.049503 Epoch[115] Batch [1899]/[3760] Speed: 96.239264 samples/sec accuracy=41.550164 loss=2.586078 lr=0.049490 Epoch[115] Batch [1949]/[3760] Speed: 97.697041 samples/sec accuracy=41.528846 loss=2.586146 lr=0.049478 Epoch[115] Batch [1999]/[3760] Speed: 97.717516 samples/sec accuracy=41.553125 loss=2.585949 lr=0.049465 Epoch[115] Batch [2049]/[3760] Speed: 97.582951 samples/sec accuracy=41.544970 loss=2.586329 lr=0.049452 Epoch[115] Batch [2099]/[3760] Speed: 96.326314 samples/sec accuracy=41.497024 loss=2.588319 lr=0.049439 Epoch[115] Batch [2149]/[3760] Speed: 97.286935 samples/sec accuracy=41.473837 loss=2.588892 lr=0.049426 Epoch[115] Batch [2199]/[3760] Speed: 97.125259 samples/sec accuracy=41.492898 loss=2.587874 lr=0.049413 Epoch[115] 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accuracy=41.450231 loss=2.589686 lr=0.049284 Epoch[115] Batch [2749]/[3760] Speed: 97.279918 samples/sec accuracy=41.442045 loss=2.589917 lr=0.049271 Epoch[115] Batch [2799]/[3760] Speed: 96.520411 samples/sec accuracy=41.437500 loss=2.590344 lr=0.049258 Epoch[115] Batch [2849]/[3760] Speed: 97.544989 samples/sec accuracy=41.416118 loss=2.590920 lr=0.049245 Epoch[115] Batch [2899]/[3760] Speed: 97.038367 samples/sec accuracy=41.411099 loss=2.591456 lr=0.049233 Epoch[115] Batch [2949]/[3760] Speed: 97.099459 samples/sec accuracy=41.435381 loss=2.590574 lr=0.049220 Epoch[115] Batch [2999]/[3760] Speed: 97.114100 samples/sec accuracy=41.439583 loss=2.591113 lr=0.049207 Epoch[115] Batch [3049]/[3760] Speed: 96.740676 samples/sec accuracy=41.448770 loss=2.590819 lr=0.049194 Epoch[115] Batch [3099]/[3760] Speed: 97.698929 samples/sec accuracy=41.430948 loss=2.591430 lr=0.049181 Epoch[115] Batch [3149]/[3760] Speed: 98.023817 samples/sec accuracy=41.418651 loss=2.591838 lr=0.049168 Epoch[115] Batch [3199]/[3760] Speed: 97.763529 samples/sec accuracy=41.400391 loss=2.592515 lr=0.049155 Epoch[115] Batch [3249]/[3760] Speed: 95.889789 samples/sec accuracy=41.384135 loss=2.593492 lr=0.049142 Epoch[115] Batch [3299]/[3760] Speed: 96.941096 samples/sec accuracy=41.375473 loss=2.594141 lr=0.049129 Epoch[115] Batch [3349]/[3760] Speed: 97.550980 samples/sec accuracy=41.369403 loss=2.594420 lr=0.049116 Epoch[115] Batch [3399]/[3760] Speed: 97.431748 samples/sec accuracy=41.395221 loss=2.593428 lr=0.049104 Epoch[115] Batch [3449]/[3760] Speed: 96.679423 samples/sec accuracy=41.400815 loss=2.592891 lr=0.049091 Epoch[115] Batch [3499]/[3760] Speed: 98.095160 samples/sec accuracy=41.390179 loss=2.593129 lr=0.049078 Epoch[115] Batch [3549]/[3760] Speed: 97.626157 samples/sec accuracy=41.364877 loss=2.593564 lr=0.049065 Epoch[115] Batch [3599]/[3760] Speed: 97.220714 samples/sec accuracy=41.361545 loss=2.594003 lr=0.049052 Epoch[115] Batch [3649]/[3760] Speed: 98.363450 samples/sec accuracy=41.339041 loss=2.594930 lr=0.049039 Epoch[115] Batch [3699]/[3760] Speed: 95.130303 samples/sec accuracy=41.364865 loss=2.594429 lr=0.049026 Epoch[115] Batch [3749]/[3760] Speed: 111.272211 samples/sec accuracy=41.354167 loss=2.594728 lr=0.049013 Batch [0049]/[0303]: acc-top1=39.781250 acc-top5=65.625000 Batch [0099]/[0303]: acc-top1=37.609375 acc-top5=63.687500 Batch [0149]/[0303]: acc-top1=39.072917 acc-top5=64.645833 Batch [0199]/[0303]: acc-top1=42.343750 acc-top5=66.890625 Batch [0249]/[0303]: acc-top1=41.643750 acc-top5=66.468750 Batch [0299]/[0303]: acc-top1=41.057292 acc-top5=66.526042 [Epoch 115] training: accuracy=41.355967 loss=2.594699 [Epoch 115] speed: 96 samples/sec time cost: 2680.078522 [Epoch 115] validation: acc-top1=41.042698 acc-top5=66.563531 loss=2.734918 Epoch[116] Batch [0049]/[3759] Speed: 68.401309 samples/sec accuracy=41.843750 loss=2.612571 lr=0.048998 Epoch[116] Batch [0099]/[3759] Speed: 94.285851 samples/sec accuracy=42.359375 loss=2.544980 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[0299]/[0303]: acc-top1=43.593750 acc-top5=69.713542 [Epoch 116] training: accuracy=41.507881 loss=2.583416 [Epoch 116] speed: 96 samples/sec time cost: 2675.671376 [Epoch 116] validation: acc-top1=43.584983 acc-top5=69.678218 loss=2.635761 Epoch[117] Batch [0049]/[3760] Speed: 67.631219 samples/sec accuracy=43.218750 loss=2.477881 lr=0.048029 Epoch[117] Batch [0099]/[3760] Speed: 93.651458 samples/sec accuracy=42.156250 loss=2.510902 lr=0.048016 Epoch[117] Batch [0149]/[3760] Speed: 98.598386 samples/sec accuracy=42.500000 loss=2.527993 lr=0.048003 Epoch[117] Batch [0199]/[3760] Speed: 95.355818 samples/sec accuracy=42.562500 loss=2.536168 lr=0.047990 Epoch[117] Batch [0249]/[3760] Speed: 98.997428 samples/sec accuracy=42.275000 loss=2.545575 lr=0.047977 Epoch[117] Batch [0299]/[3760] Speed: 97.235794 samples/sec accuracy=42.484375 loss=2.533962 lr=0.047964 Epoch[117] Batch [0349]/[3760] Speed: 98.533950 samples/sec accuracy=42.375000 loss=2.535107 lr=0.047951 Epoch[117] Batch 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accuracy=41.935662 loss=2.550760 lr=0.047822 Epoch[117] Batch [0899]/[3760] Speed: 97.266882 samples/sec accuracy=41.911458 loss=2.549331 lr=0.047810 Epoch[117] Batch [0949]/[3760] Speed: 97.635150 samples/sec accuracy=41.853618 loss=2.551409 lr=0.047797 Epoch[117] Batch [0999]/[3760] Speed: 96.568830 samples/sec accuracy=41.856250 loss=2.551661 lr=0.047784 Epoch[117] Batch [1049]/[3760] Speed: 98.506265 samples/sec accuracy=41.793155 loss=2.553945 lr=0.047771 Epoch[117] Batch [1099]/[3760] Speed: 96.887281 samples/sec accuracy=41.774148 loss=2.557069 lr=0.047758 Epoch[117] Batch [1149]/[3760] Speed: 97.711183 samples/sec accuracy=41.736413 loss=2.557781 lr=0.047745 Epoch[117] Batch [1199]/[3760] Speed: 97.338744 samples/sec accuracy=41.790365 loss=2.555881 lr=0.047732 Epoch[117] Batch [1249]/[3760] Speed: 97.397968 samples/sec accuracy=41.781250 loss=2.557326 lr=0.047719 Epoch[117] Batch [1299]/[3760] Speed: 95.356594 samples/sec accuracy=41.718750 loss=2.560250 lr=0.047706 Epoch[117] 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accuracy=41.653646 loss=2.564814 lr=0.047578 Epoch[117] Batch [1849]/[3760] Speed: 96.373580 samples/sec accuracy=41.679054 loss=2.563212 lr=0.047565 Epoch[117] Batch [1899]/[3760] Speed: 98.005604 samples/sec accuracy=41.675987 loss=2.563547 lr=0.047552 Epoch[117] Batch [1949]/[3760] Speed: 97.644171 samples/sec accuracy=41.693109 loss=2.563141 lr=0.047539 Epoch[117] Batch [1999]/[3760] Speed: 97.112476 samples/sec accuracy=41.697656 loss=2.562981 lr=0.047526 Epoch[117] Batch [2049]/[3760] Speed: 97.092279 samples/sec accuracy=41.683689 loss=2.563713 lr=0.047513 Epoch[117] Batch [2099]/[3760] Speed: 97.453554 samples/sec accuracy=41.743304 loss=2.562331 lr=0.047500 Epoch[117] Batch [2149]/[3760] Speed: 96.746920 samples/sec accuracy=41.734738 loss=2.562932 lr=0.047487 Epoch[117] Batch [2199]/[3760] Speed: 97.846907 samples/sec accuracy=41.705256 loss=2.563487 lr=0.047475 Epoch[117] Batch [2249]/[3760] Speed: 96.322036 samples/sec accuracy=41.727778 loss=2.563183 lr=0.047462 Epoch[117] 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accuracy=41.727841 loss=2.564240 lr=0.047333 Epoch[117] Batch [2799]/[3760] Speed: 97.119299 samples/sec accuracy=41.725446 loss=2.564991 lr=0.047320 Epoch[117] Batch [2849]/[3760] Speed: 97.197456 samples/sec accuracy=41.712171 loss=2.565544 lr=0.047307 Epoch[117] Batch [2899]/[3760] Speed: 95.847476 samples/sec accuracy=41.711207 loss=2.565977 lr=0.047294 Epoch[117] Batch [2949]/[3760] Speed: 97.897599 samples/sec accuracy=41.710275 loss=2.565398 lr=0.047281 Epoch[117] Batch [2999]/[3760] Speed: 97.113885 samples/sec accuracy=41.705729 loss=2.565526 lr=0.047269 Epoch[117] Batch [3049]/[3760] Speed: 98.271531 samples/sec accuracy=41.683914 loss=2.566497 lr=0.047256 Epoch[117] Batch [3099]/[3760] Speed: 97.154725 samples/sec accuracy=41.686492 loss=2.566615 lr=0.047243 Epoch[117] Batch [3149]/[3760] Speed: 96.472812 samples/sec accuracy=41.695437 loss=2.566764 lr=0.047230 Epoch[117] Batch [3199]/[3760] Speed: 98.251107 samples/sec accuracy=41.682129 loss=2.567614 lr=0.047217 Epoch[117] Batch [3249]/[3760] Speed: 97.599716 samples/sec accuracy=41.653365 loss=2.568312 lr=0.047204 Epoch[117] Batch [3299]/[3760] Speed: 98.029463 samples/sec accuracy=41.632102 loss=2.569024 lr=0.047191 Epoch[117] Batch [3349]/[3760] Speed: 94.901502 samples/sec accuracy=41.629198 loss=2.568579 lr=0.047178 Epoch[117] Batch [3399]/[3760] Speed: 98.258574 samples/sec accuracy=41.619026 loss=2.568484 lr=0.047166 Epoch[117] Batch [3449]/[3760] Speed: 97.180026 samples/sec accuracy=41.605978 loss=2.568690 lr=0.047153 Epoch[117] Batch [3499]/[3760] Speed: 97.784947 samples/sec accuracy=41.595536 loss=2.569801 lr=0.047140 Epoch[117] Batch [3549]/[3760] Speed: 97.982038 samples/sec accuracy=41.601673 loss=2.569763 lr=0.047127 Epoch[117] Batch [3599]/[3760] Speed: 96.136010 samples/sec accuracy=41.575087 loss=2.570814 lr=0.047114 Epoch[117] Batch [3649]/[3760] Speed: 98.528044 samples/sec accuracy=41.594178 loss=2.570896 lr=0.047101 Epoch[117] Batch [3699]/[3760] Speed: 96.577479 samples/sec accuracy=41.582348 loss=2.571848 lr=0.047088 Epoch[117] Batch [3749]/[3760] Speed: 110.963122 samples/sec accuracy=41.592917 loss=2.571558 lr=0.047075 Batch [0049]/[0303]: acc-top1=42.906250 acc-top5=68.562500 Batch [0099]/[0303]: acc-top1=39.875000 acc-top5=66.328125 Batch [0149]/[0303]: acc-top1=41.322917 acc-top5=67.125000 Batch [0199]/[0303]: acc-top1=44.570312 acc-top5=69.390625 Batch [0249]/[0303]: acc-top1=43.918750 acc-top5=69.231250 Batch [0299]/[0303]: acc-top1=43.354167 acc-top5=69.375000 [Epoch 117] training: accuracy=41.596160 loss=2.571444 [Epoch 117] speed: 96 samples/sec time cost: 2673.974026 [Epoch 117] validation: acc-top1=43.301361 acc-top5=69.332715 loss=2.613450 Epoch[118] Batch [0049]/[3760] Speed: 66.395346 samples/sec accuracy=42.843750 loss=2.538051 lr=0.047060 Epoch[118] Batch [0099]/[3760] Speed: 95.141852 samples/sec accuracy=43.515625 loss=2.498945 lr=0.047047 Epoch[118] Batch [0149]/[3760] Speed: 97.837980 samples/sec accuracy=43.177083 loss=2.501583 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lr=0.046790 Epoch[118] Batch [1149]/[3760] Speed: 97.411657 samples/sec accuracy=42.301630 loss=2.539677 lr=0.046777 Epoch[118] Batch [1199]/[3760] Speed: 95.663982 samples/sec accuracy=42.285156 loss=2.539640 lr=0.046764 Epoch[118] Batch [1249]/[3760] Speed: 97.442771 samples/sec accuracy=42.292500 loss=2.539676 lr=0.046751 Epoch[118] Batch [1299]/[3760] Speed: 96.559403 samples/sec accuracy=42.237981 loss=2.542427 lr=0.046738 Epoch[118] Batch [1349]/[3760] Speed: 98.348925 samples/sec accuracy=42.215278 loss=2.543590 lr=0.046725 Epoch[118] Batch [1399]/[3760] Speed: 97.083386 samples/sec accuracy=42.141741 loss=2.546272 lr=0.046712 Epoch[118] Batch [1449]/[3760] Speed: 95.959066 samples/sec accuracy=42.115302 loss=2.547552 lr=0.046699 Epoch[118] Batch [1499]/[3760] Speed: 97.762962 samples/sec accuracy=42.140625 loss=2.546276 lr=0.046687 Epoch[118] Batch [1549]/[3760] Speed: 96.158526 samples/sec accuracy=42.195565 loss=2.543539 lr=0.046674 Epoch[118] Batch [1599]/[3760] Speed: 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lr=0.046545 Epoch[118] Batch [2099]/[3760] Speed: 97.608713 samples/sec accuracy=42.078869 loss=2.547088 lr=0.046532 Epoch[118] Batch [2149]/[3760] Speed: 97.170182 samples/sec accuracy=42.085756 loss=2.546014 lr=0.046519 Epoch[118] Batch [2199]/[3760] Speed: 97.560563 samples/sec accuracy=42.091619 loss=2.546308 lr=0.046506 Epoch[118] Batch [2249]/[3760] Speed: 97.516079 samples/sec accuracy=42.088889 loss=2.545642 lr=0.046494 Epoch[118] Batch [2299]/[3760] Speed: 96.427581 samples/sec accuracy=42.098505 loss=2.545325 lr=0.046481 Epoch[118] Batch [2349]/[3760] Speed: 97.396749 samples/sec accuracy=42.081782 loss=2.545524 lr=0.046468 Epoch[118] Batch [2399]/[3760] Speed: 97.474608 samples/sec accuracy=42.078125 loss=2.545376 lr=0.046455 Epoch[118] Batch [2449]/[3760] Speed: 97.742130 samples/sec accuracy=42.086097 loss=2.544681 lr=0.046442 Epoch[118] Batch [2499]/[3760] Speed: 97.674867 samples/sec accuracy=42.072500 loss=2.545228 lr=0.046429 Epoch[118] Batch [2549]/[3760] Speed: 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lr=0.046301 Epoch[118] Batch [3049]/[3760] Speed: 97.759497 samples/sec accuracy=42.007172 loss=2.550700 lr=0.046288 Epoch[118] Batch [3099]/[3760] Speed: 97.006928 samples/sec accuracy=42.016633 loss=2.550003 lr=0.046275 Epoch[118] Batch [3149]/[3760] Speed: 97.025752 samples/sec accuracy=42.036210 loss=2.549816 lr=0.046262 Epoch[118] Batch [3199]/[3760] Speed: 97.667163 samples/sec accuracy=42.032227 loss=2.549821 lr=0.046249 Epoch[118] Batch [3249]/[3760] Speed: 96.403241 samples/sec accuracy=42.043269 loss=2.549870 lr=0.046236 Epoch[118] Batch [3299]/[3760] Speed: 98.116252 samples/sec accuracy=42.035038 loss=2.550203 lr=0.046223 Epoch[118] Batch [3349]/[3760] Speed: 97.153566 samples/sec accuracy=42.023787 loss=2.550667 lr=0.046211 Epoch[118] Batch [3399]/[3760] Speed: 96.114241 samples/sec accuracy=42.040901 loss=2.550185 lr=0.046198 Epoch[118] Batch [3449]/[3760] Speed: 98.112375 samples/sec accuracy=42.028533 loss=2.550974 lr=0.046185 Epoch[118] Batch [3499]/[3760] Speed: 96.985168 samples/sec accuracy=42.026339 loss=2.551913 lr=0.046172 Epoch[118] Batch [3549]/[3760] Speed: 97.336390 samples/sec accuracy=42.040493 loss=2.552062 lr=0.046159 Epoch[118] Batch [3599]/[3760] Speed: 96.591680 samples/sec accuracy=42.023003 loss=2.552851 lr=0.046146 Epoch[118] Batch [3649]/[3760] Speed: 97.455726 samples/sec accuracy=42.011986 loss=2.552778 lr=0.046133 Epoch[118] Batch [3699]/[3760] Speed: 96.610972 samples/sec accuracy=42.014780 loss=2.552595 lr=0.046121 Epoch[118] Batch [3749]/[3760] Speed: 110.929051 samples/sec accuracy=42.012083 loss=2.552568 lr=0.046108 Batch [0049]/[0303]: acc-top1=41.656250 acc-top5=69.093750 Batch [0099]/[0303]: acc-top1=38.765625 acc-top5=64.953125 Batch [0149]/[0303]: acc-top1=40.093750 acc-top5=66.239583 Batch [0199]/[0303]: acc-top1=42.882812 acc-top5=67.882812 Batch [0249]/[0303]: acc-top1=42.531250 acc-top5=68.037500 Batch [0299]/[0303]: acc-top1=41.640625 acc-top5=68.083333 [Epoch 118] training: accuracy=42.008394 loss=2.552810 [Epoch 118] speed: 96 samples/sec time cost: 2679.994143 [Epoch 118] validation: acc-top1=41.651196 acc-top5=68.146658 loss=2.782938 Epoch[119] Batch [0049]/[3759] Speed: 66.500619 samples/sec accuracy=43.656250 loss=2.440918 lr=0.046092 Epoch[119] Batch [0099]/[3759] Speed: 94.222945 samples/sec accuracy=44.046875 loss=2.442143 lr=0.046079 Epoch[119] Batch [0149]/[3759] Speed: 98.333960 samples/sec accuracy=43.322917 loss=2.467099 lr=0.046067 Epoch[119] Batch [0199]/[3759] Speed: 92.589303 samples/sec accuracy=43.015625 loss=2.505185 lr=0.046054 Epoch[119] Batch [0249]/[3759] Speed: 99.540633 samples/sec accuracy=42.887500 loss=2.514564 lr=0.046041 Epoch[119] Batch [0299]/[3759] Speed: 97.056211 samples/sec accuracy=42.713542 loss=2.520088 lr=0.046028 Epoch[119] Batch [0349]/[3759] Speed: 98.478800 samples/sec accuracy=42.732143 loss=2.521973 lr=0.046015 Epoch[119] Batch [0399]/[3759] Speed: 95.703311 samples/sec accuracy=42.566406 loss=2.526044 lr=0.046002 Epoch[119] 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accuracy=42.347222 loss=2.526925 lr=0.045874 Epoch[119] Batch [0949]/[3759] Speed: 97.471350 samples/sec accuracy=42.396382 loss=2.524437 lr=0.045861 Epoch[119] Batch [0999]/[3759] Speed: 97.196042 samples/sec accuracy=42.360937 loss=2.527628 lr=0.045848 Epoch[119] Batch [1049]/[3759] Speed: 95.811739 samples/sec accuracy=42.267857 loss=2.531823 lr=0.045835 Epoch[119] Batch [1099]/[3759] Speed: 99.511249 samples/sec accuracy=42.282670 loss=2.531603 lr=0.045822 Epoch[119] Batch [1149]/[3759] Speed: 97.066639 samples/sec accuracy=42.266304 loss=2.530679 lr=0.045810 Epoch[119] Batch [1199]/[3759] Speed: 97.288072 samples/sec accuracy=42.294271 loss=2.530891 lr=0.045797 Epoch[119] Batch [1249]/[3759] Speed: 96.807911 samples/sec accuracy=42.248750 loss=2.533140 lr=0.045784 Epoch[119] Batch [1299]/[3759] Speed: 98.381773 samples/sec accuracy=42.207933 loss=2.534223 lr=0.045771 Epoch[119] Batch [1349]/[3759] Speed: 96.690468 samples/sec accuracy=42.229167 loss=2.533141 lr=0.045758 Epoch[119] 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accuracy=42.240709 loss=2.534229 lr=0.045630 Epoch[119] Batch [1899]/[3759] Speed: 97.703610 samples/sec accuracy=42.226151 loss=2.535567 lr=0.045617 Epoch[119] Batch [1949]/[3759] Speed: 96.987032 samples/sec accuracy=42.194712 loss=2.537009 lr=0.045604 Epoch[119] Batch [1999]/[3759] Speed: 96.736254 samples/sec accuracy=42.195312 loss=2.537033 lr=0.045591 Epoch[119] Batch [2049]/[3759] Speed: 97.842139 samples/sec accuracy=42.246189 loss=2.536047 lr=0.045578 Epoch[119] Batch [2099]/[3759] Speed: 97.355116 samples/sec accuracy=42.255208 loss=2.536185 lr=0.045565 Epoch[119] Batch [2149]/[3759] Speed: 98.662722 samples/sec accuracy=42.260174 loss=2.535794 lr=0.045553 Epoch[119] Batch [2199]/[3759] Speed: 95.925454 samples/sec accuracy=42.274858 loss=2.535793 lr=0.045540 Epoch[119] Batch [2249]/[3759] Speed: 97.918131 samples/sec accuracy=42.270139 loss=2.535978 lr=0.045527 Epoch[119] Batch [2299]/[3759] Speed: 97.428180 samples/sec accuracy=42.267663 loss=2.536606 lr=0.045514 Epoch[119] Batch [2349]/[3759] Speed: 97.701021 samples/sec accuracy=42.282580 loss=2.536548 lr=0.045501 Epoch[119] Batch [2399]/[3759] Speed: 97.447195 samples/sec accuracy=42.287109 loss=2.537131 lr=0.045488 Epoch[119] Batch [2449]/[3759] Speed: 97.599019 samples/sec accuracy=42.302296 loss=2.536446 lr=0.045475 Epoch[119] Batch [2499]/[3759] Speed: 96.370866 samples/sec accuracy=42.290000 loss=2.537187 lr=0.045463 Epoch[119] Batch [2549]/[3759] Speed: 98.032665 samples/sec accuracy=42.296569 loss=2.536707 lr=0.045450 Epoch[119] Batch [2599]/[3759] Speed: 97.353985 samples/sec accuracy=42.300481 loss=2.536532 lr=0.045437 Epoch[119] Batch [2649]/[3759] Speed: 97.639076 samples/sec accuracy=42.291274 loss=2.537235 lr=0.045424 Epoch[119] Batch [2699]/[3759] Speed: 96.117905 samples/sec accuracy=42.280671 loss=2.537907 lr=0.045411 Epoch[119] Batch [2749]/[3759] Speed: 98.306913 samples/sec accuracy=42.288068 loss=2.538198 lr=0.045398 Epoch[119] Batch [2799]/[3759] Speed: 96.392377 samples/sec accuracy=42.271763 loss=2.538484 lr=0.045386 Epoch[119] Batch [2849]/[3759] Speed: 98.087576 samples/sec accuracy=42.248355 loss=2.539046 lr=0.045373 Epoch[119] Batch [2899]/[3759] Speed: 96.389800 samples/sec accuracy=42.217134 loss=2.540096 lr=0.045360 Epoch[119] Batch [2949]/[3759] Speed: 98.147804 samples/sec accuracy=42.237288 loss=2.539631 lr=0.045347 Epoch[119] Batch [2999]/[3759] Speed: 96.327545 samples/sec accuracy=42.229688 loss=2.540019 lr=0.045334 Epoch[119] Batch [3049]/[3759] Speed: 95.907127 samples/sec accuracy=42.232582 loss=2.539798 lr=0.045321 Epoch[119] Batch [3099]/[3759] Speed: 98.269735 samples/sec accuracy=42.210181 loss=2.540621 lr=0.045309 Epoch[119] Batch [3149]/[3759] Speed: 96.729021 samples/sec accuracy=42.208333 loss=2.541334 lr=0.045296 Epoch[119] Batch [3199]/[3759] Speed: 97.433980 samples/sec accuracy=42.227051 loss=2.540653 lr=0.045283 Epoch[119] Batch [3249]/[3759] Speed: 97.803051 samples/sec accuracy=42.238942 loss=2.540296 lr=0.045270 Epoch[119] Batch [3299]/[3759] Speed: 98.004342 samples/sec accuracy=42.235795 loss=2.540460 lr=0.045257 Epoch[119] Batch [3349]/[3759] Speed: 96.762706 samples/sec accuracy=42.236474 loss=2.540724 lr=0.045244 Epoch[119] Batch [3399]/[3759] Speed: 97.848290 samples/sec accuracy=42.225643 loss=2.540960 lr=0.045231 Epoch[119] Batch [3449]/[3759] Speed: 97.829005 samples/sec accuracy=42.203351 loss=2.542050 lr=0.045219 Epoch[119] Batch [3499]/[3759] Speed: 96.711640 samples/sec accuracy=42.204018 loss=2.541985 lr=0.045206 Epoch[119] Batch [3549]/[3759] Speed: 97.966642 samples/sec accuracy=42.195423 loss=2.541854 lr=0.045193 Epoch[119] Batch [3599]/[3759] Speed: 96.797690 samples/sec accuracy=42.211806 loss=2.540980 lr=0.045180 Epoch[119] Batch [3649]/[3759] Speed: 96.626212 samples/sec accuracy=42.181079 loss=2.542640 lr=0.045167 Epoch[119] Batch [3699]/[3759] Speed: 96.709274 samples/sec accuracy=42.163429 loss=2.543249 lr=0.045154 Epoch[119] Batch [3749]/[3759] Speed: 111.567498 samples/sec accuracy=42.154167 loss=2.544365 lr=0.045142 Batch [0049]/[0303]: acc-top1=43.531250 acc-top5=69.000000 Batch [0099]/[0303]: acc-top1=39.671875 acc-top5=66.406250 Batch [0149]/[0303]: acc-top1=42.041667 acc-top5=67.802083 Batch [0199]/[0303]: acc-top1=44.289062 acc-top5=69.468750 Batch [0249]/[0303]: acc-top1=43.618750 acc-top5=69.212500 Batch [0299]/[0303]: acc-top1=43.317708 acc-top5=69.588542 [Epoch 119] training: accuracy=42.162560 loss=2.544158 [Epoch 119] speed: 96 samples/sec time cost: 2676.854309 [Epoch 119] validation: acc-top1=43.301361 acc-top5=69.590553 loss=2.617659 Epoch[120] Batch [0049]/[3760] Speed: 68.098787 samples/sec accuracy=42.062500 loss=2.555546 lr=0.045126 Epoch[120] Batch [0099]/[3760] Speed: 93.598354 samples/sec accuracy=43.078125 loss=2.490336 lr=0.045114 Epoch[120] Batch [0149]/[3760] Speed: 96.627744 samples/sec accuracy=42.822917 loss=2.483670 lr=0.045101 Epoch[120] Batch [0199]/[3760] Speed: 95.450923 samples/sec accuracy=42.781250 loss=2.485945 lr=0.045088 Epoch[120] Batch [0249]/[3760] Speed: 98.161052 samples/sec accuracy=42.425000 loss=2.505023 lr=0.045075 Epoch[120] Batch [0299]/[3760] Speed: 96.804467 samples/sec accuracy=42.531250 loss=2.505162 lr=0.045062 Epoch[120] Batch [0349]/[3760] Speed: 94.837615 samples/sec accuracy=42.638393 loss=2.503329 lr=0.045049 Epoch[120] Batch [0399]/[3760] Speed: 98.752431 samples/sec accuracy=42.597656 loss=2.506862 lr=0.045037 Epoch[120] Batch [0449]/[3760] Speed: 96.881417 samples/sec accuracy=42.482639 loss=2.516733 lr=0.045024 Epoch[120] Batch [0499]/[3760] Speed: 99.198858 samples/sec accuracy=42.562500 loss=2.516084 lr=0.045011 Epoch[120] Batch [0549]/[3760] Speed: 97.659895 samples/sec accuracy=42.732955 loss=2.511842 lr=0.044998 Epoch[120] Batch [0599]/[3760] Speed: 97.427145 samples/sec accuracy=42.559896 loss=2.518791 lr=0.044985 Epoch[120] Batch [0649]/[3760] Speed: 97.106860 samples/sec accuracy=42.593750 loss=2.520594 lr=0.044972 Epoch[120] Batch [0699]/[3760] Speed: 97.619557 samples/sec accuracy=42.569196 loss=2.519741 lr=0.044960 Epoch[120] Batch [0749]/[3760] Speed: 97.014287 samples/sec accuracy=42.604167 loss=2.515988 lr=0.044947 Epoch[120] Batch [0799]/[3760] Speed: 98.010795 samples/sec accuracy=42.585938 loss=2.517969 lr=0.044934 Epoch[120] Batch [0849]/[3760] Speed: 95.757912 samples/sec accuracy=42.512868 loss=2.515944 lr=0.044921 Epoch[120] Batch [0899]/[3760] Speed: 97.923147 samples/sec accuracy=42.532986 loss=2.515036 lr=0.044908 Epoch[120] Batch [0949]/[3760] Speed: 98.230067 samples/sec accuracy=42.513158 loss=2.516528 lr=0.044895 Epoch[120] Batch [0999]/[3760] Speed: 97.587398 samples/sec accuracy=42.492188 loss=2.518547 lr=0.044883 Epoch[120] Batch [1049]/[3760] Speed: 96.366990 samples/sec accuracy=42.532738 loss=2.517638 lr=0.044870 Epoch[120] Batch [1099]/[3760] Speed: 97.638494 samples/sec accuracy=42.509943 loss=2.518220 lr=0.044857 Epoch[120] Batch [1149]/[3760] Speed: 97.906677 samples/sec accuracy=42.497283 loss=2.519737 lr=0.044844 Epoch[120] Batch [1199]/[3760] Speed: 97.071655 samples/sec accuracy=42.496094 loss=2.520710 lr=0.044831 Epoch[120] Batch [1249]/[3760] Speed: 97.532273 samples/sec accuracy=42.472500 loss=2.523393 lr=0.044818 Epoch[120] Batch [1299]/[3760] Speed: 97.002001 samples/sec accuracy=42.415865 loss=2.525072 lr=0.044806 Epoch[120] Batch [1349]/[3760] Speed: 96.541688 samples/sec accuracy=42.393519 loss=2.527411 lr=0.044793 Epoch[120] Batch [1399]/[3760] Speed: 98.056961 samples/sec accuracy=42.453125 loss=2.524420 lr=0.044780 Epoch[120] Batch [1449]/[3760] Speed: 97.482446 samples/sec accuracy=42.467672 loss=2.526268 lr=0.044767 Epoch[120] Batch [1499]/[3760] Speed: 97.736379 samples/sec accuracy=42.460417 loss=2.527187 lr=0.044754 Epoch[120] Batch [1549]/[3760] Speed: 96.519045 samples/sec accuracy=42.468750 loss=2.528305 lr=0.044742 Epoch[120] Batch [1599]/[3760] Speed: 97.337740 samples/sec accuracy=42.493164 loss=2.528222 lr=0.044729 Epoch[120] Batch [1649]/[3760] Speed: 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lr=0.044357 Epoch[120] Batch [3099]/[3760] Speed: 97.803696 samples/sec accuracy=42.533770 loss=2.531453 lr=0.044344 Epoch[120] Batch [3149]/[3760] Speed: 96.159968 samples/sec accuracy=42.530754 loss=2.532638 lr=0.044331 Epoch[120] Batch [3199]/[3760] Speed: 98.015305 samples/sec accuracy=42.531250 loss=2.533505 lr=0.044318 Epoch[120] Batch [3249]/[3760] Speed: 97.804411 samples/sec accuracy=42.535577 loss=2.533404 lr=0.044306 Epoch[120] Batch [3299]/[3760] Speed: 98.476417 samples/sec accuracy=42.521780 loss=2.533408 lr=0.044293 Epoch[120] Batch [3349]/[3760] Speed: 97.260057 samples/sec accuracy=42.529384 loss=2.532821 lr=0.044280 Epoch[120] Batch [3399]/[3760] Speed: 96.480369 samples/sec accuracy=42.516544 loss=2.533197 lr=0.044267 Epoch[120] Batch [3449]/[3760] Speed: 97.723870 samples/sec accuracy=42.530344 loss=2.533264 lr=0.044254 Epoch[120] Batch [3499]/[3760] Speed: 97.040028 samples/sec accuracy=42.540625 loss=2.533185 lr=0.044242 Epoch[120] Batch [3549]/[3760] Speed: 97.639021 samples/sec accuracy=42.541373 loss=2.533662 lr=0.044229 Epoch[120] Batch [3599]/[3760] Speed: 97.711675 samples/sec accuracy=42.536458 loss=2.534163 lr=0.044216 Epoch[120] Batch [3649]/[3760] Speed: 97.425299 samples/sec accuracy=42.541096 loss=2.533934 lr=0.044203 Epoch[120] Batch [3699]/[3760] Speed: 97.715736 samples/sec accuracy=42.548142 loss=2.534523 lr=0.044190 Epoch[120] Batch [3749]/[3760] Speed: 110.892702 samples/sec accuracy=42.546667 loss=2.534796 lr=0.044178 Batch [0049]/[0303]: acc-top1=44.093750 acc-top5=70.218750 Batch [0099]/[0303]: acc-top1=41.218750 acc-top5=68.078125 Batch [0149]/[0303]: acc-top1=42.291667 acc-top5=68.666667 Batch [0199]/[0303]: acc-top1=45.039062 acc-top5=70.757812 Batch [0249]/[0303]: acc-top1=44.675000 acc-top5=70.531250 Batch [0299]/[0303]: acc-top1=43.869792 acc-top5=70.473958 [Epoch 120] training: accuracy=42.547374 loss=2.534871 [Epoch 120] speed: 96 samples/sec time cost: 2675.208560 [Epoch 120] validation: acc-top1=43.842822 acc-top5=70.482673 loss=2.575872 Epoch[121] Batch [0049]/[3760] Speed: 67.409955 samples/sec accuracy=42.656250 loss=2.474499 lr=0.044162 Epoch[121] Batch [0099]/[3760] Speed: 93.474188 samples/sec accuracy=43.765625 loss=2.457031 lr=0.044149 Epoch[121] Batch [0149]/[3760] Speed: 97.952408 samples/sec accuracy=43.604167 loss=2.466425 lr=0.044137 Epoch[121] Batch [0199]/[3760] Speed: 95.592505 samples/sec accuracy=43.773438 loss=2.470605 lr=0.044124 Epoch[121] Batch [0249]/[3760] Speed: 97.865574 samples/sec accuracy=43.743750 loss=2.471378 lr=0.044111 Epoch[121] Batch [0299]/[3760] Speed: 93.683319 samples/sec accuracy=43.515625 loss=2.478983 lr=0.044098 Epoch[121] Batch [0349]/[3760] Speed: 99.149173 samples/sec accuracy=43.433036 loss=2.483730 lr=0.044085 Epoch[121] Batch [0399]/[3760] Speed: 96.415662 samples/sec accuracy=43.343750 loss=2.482473 lr=0.044073 Epoch[121] Batch [0449]/[3760] Speed: 97.782379 samples/sec accuracy=43.326389 loss=2.485561 lr=0.044060 Epoch[121] Batch 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accuracy=43.138158 loss=2.497511 lr=0.043932 Epoch[121] Batch [0999]/[3760] Speed: 94.894166 samples/sec accuracy=43.139063 loss=2.497008 lr=0.043919 Epoch[121] Batch [1049]/[3760] Speed: 99.947716 samples/sec accuracy=43.130952 loss=2.496776 lr=0.043906 Epoch[121] Batch [1099]/[3760] Speed: 97.551171 samples/sec accuracy=43.112216 loss=2.500462 lr=0.043893 Epoch[121] Batch [1149]/[3760] Speed: 97.471714 samples/sec accuracy=43.052989 loss=2.504560 lr=0.043880 Epoch[121] Batch [1199]/[3760] Speed: 97.115398 samples/sec accuracy=43.072917 loss=2.503618 lr=0.043868 Epoch[121] Batch [1249]/[3760] Speed: 95.814104 samples/sec accuracy=43.131250 loss=2.502000 lr=0.043855 Epoch[121] Batch [1299]/[3760] Speed: 97.492058 samples/sec accuracy=43.046875 loss=2.503110 lr=0.043842 Epoch[121] Batch [1349]/[3760] Speed: 96.959589 samples/sec accuracy=42.997685 loss=2.502313 lr=0.043829 Epoch[121] Batch [1399]/[3760] Speed: 97.889285 samples/sec accuracy=43.015625 loss=2.502847 lr=0.043816 Epoch[121] 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accuracy=42.866776 loss=2.513562 lr=0.043688 Epoch[121] Batch [1949]/[3760] Speed: 96.301876 samples/sec accuracy=42.831731 loss=2.513977 lr=0.043676 Epoch[121] Batch [1999]/[3760] Speed: 97.793808 samples/sec accuracy=42.831250 loss=2.514097 lr=0.043663 Epoch[121] Batch [2049]/[3760] Speed: 97.332727 samples/sec accuracy=42.836128 loss=2.514437 lr=0.043650 Epoch[121] Batch [2099]/[3760] Speed: 98.113294 samples/sec accuracy=42.855655 loss=2.514123 lr=0.043637 Epoch[121] Batch [2149]/[3760] Speed: 97.035593 samples/sec accuracy=42.849564 loss=2.514710 lr=0.043625 Epoch[121] Batch [2199]/[3760] Speed: 96.674687 samples/sec accuracy=42.828835 loss=2.515320 lr=0.043612 Epoch[121] Batch [2249]/[3760] Speed: 97.010116 samples/sec accuracy=42.849306 loss=2.515276 lr=0.043599 Epoch[121] Batch [2299]/[3760] Speed: 98.255501 samples/sec accuracy=42.841033 loss=2.514264 lr=0.043586 Epoch[121] Batch [2349]/[3760] Speed: 97.654484 samples/sec accuracy=42.847074 loss=2.513806 lr=0.043573 Epoch[121] 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accuracy=42.733553 loss=2.517747 lr=0.043445 Epoch[121] Batch [2899]/[3760] Speed: 97.333191 samples/sec accuracy=42.754849 loss=2.517280 lr=0.043433 Epoch[121] Batch [2949]/[3760] Speed: 97.437235 samples/sec accuracy=42.762182 loss=2.517448 lr=0.043420 Epoch[121] Batch [2999]/[3760] Speed: 96.704498 samples/sec accuracy=42.745833 loss=2.518152 lr=0.043407 Epoch[121] Batch [3049]/[3760] Speed: 96.765955 samples/sec accuracy=42.739242 loss=2.518356 lr=0.043394 Epoch[121] Batch [3099]/[3760] Speed: 97.923958 samples/sec accuracy=42.744960 loss=2.518260 lr=0.043382 Epoch[121] Batch [3149]/[3760] Speed: 96.711905 samples/sec accuracy=42.730655 loss=2.519737 lr=0.043369 Epoch[121] Batch [3199]/[3760] Speed: 97.097318 samples/sec accuracy=42.735352 loss=2.519513 lr=0.043356 Epoch[121] Batch [3249]/[3760] Speed: 97.678160 samples/sec accuracy=42.745192 loss=2.519221 lr=0.043343 Epoch[121] Batch [3299]/[3760] Speed: 97.089620 samples/sec accuracy=42.740530 loss=2.519554 lr=0.043330 Epoch[121] Batch [3349]/[3760] Speed: 94.759019 samples/sec accuracy=42.738806 loss=2.520347 lr=0.043318 Epoch[121] Batch [3399]/[3760] Speed: 99.340962 samples/sec accuracy=42.733456 loss=2.520774 lr=0.043305 Epoch[121] Batch [3449]/[3760] Speed: 96.796086 samples/sec accuracy=42.714674 loss=2.520990 lr=0.043292 Epoch[121] Batch [3499]/[3760] Speed: 98.317558 samples/sec accuracy=42.719643 loss=2.520880 lr=0.043279 Epoch[121] Batch [3549]/[3760] Speed: 97.258403 samples/sec accuracy=42.700704 loss=2.521742 lr=0.043267 Epoch[121] Batch [3599]/[3760] Speed: 96.567379 samples/sec accuracy=42.675347 loss=2.522807 lr=0.043254 Epoch[121] Batch [3649]/[3760] Speed: 97.501039 samples/sec accuracy=42.664384 loss=2.523544 lr=0.043241 Epoch[121] Batch [3699]/[3760] Speed: 97.490925 samples/sec accuracy=42.662584 loss=2.523393 lr=0.043228 Epoch[121] Batch [3749]/[3760] Speed: 109.260281 samples/sec accuracy=42.668750 loss=2.523251 lr=0.043215 Batch [0049]/[0303]: acc-top1=41.625000 acc-top5=67.937500 Batch [0099]/[0303]: acc-top1=38.890625 acc-top5=66.078125 Batch [0149]/[0303]: acc-top1=40.802083 acc-top5=67.291667 Batch [0199]/[0303]: acc-top1=43.601562 acc-top5=69.015625 Batch [0249]/[0303]: acc-top1=43.331250 acc-top5=69.262500 Batch [0299]/[0303]: acc-top1=42.791667 acc-top5=69.182292 [Epoch 121] training: accuracy=42.662483 loss=2.523567 [Epoch 121] speed: 96 samples/sec time cost: 2678.889098 [Epoch 121] validation: acc-top1=42.785685 acc-top5=69.229579 loss=2.746865 Epoch[122] Batch [0049]/[3759] Speed: 67.584105 samples/sec accuracy=43.062500 loss=2.488426 lr=0.043200 Epoch[122] Batch [0099]/[3759] Speed: 93.710074 samples/sec accuracy=42.625000 loss=2.498776 lr=0.043187 Epoch[122] Batch [0149]/[3759] Speed: 98.255277 samples/sec accuracy=42.479167 loss=2.496963 lr=0.043175 Epoch[122] Batch [0199]/[3759] Speed: 95.294539 samples/sec accuracy=42.515625 loss=2.501042 lr=0.043162 Epoch[122] Batch [0249]/[3759] Speed: 98.219336 samples/sec accuracy=42.825000 loss=2.489485 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lr=0.042422 Epoch[122] Batch [3149]/[3759] Speed: 96.904267 samples/sec accuracy=42.829861 loss=2.508070 lr=0.042409 Epoch[122] Batch [3199]/[3759] Speed: 97.681079 samples/sec accuracy=42.818359 loss=2.508555 lr=0.042396 Epoch[122] Batch [3249]/[3759] Speed: 97.604835 samples/sec accuracy=42.820673 loss=2.508502 lr=0.042383 Epoch[122] Batch [3299]/[3759] Speed: 96.841650 samples/sec accuracy=42.836174 loss=2.508048 lr=0.042371 Epoch[122] Batch [3349]/[3759] Speed: 97.258334 samples/sec accuracy=42.824160 loss=2.508133 lr=0.042358 Epoch[122] Batch [3399]/[3759] Speed: 95.938289 samples/sec accuracy=42.791360 loss=2.509251 lr=0.042345 Epoch[122] Batch [3449]/[3759] Speed: 97.458123 samples/sec accuracy=42.785326 loss=2.509522 lr=0.042332 Epoch[122] Batch [3499]/[3759] Speed: 97.061096 samples/sec accuracy=42.780804 loss=2.509616 lr=0.042320 Epoch[122] Batch [3549]/[3759] Speed: 97.864931 samples/sec accuracy=42.791813 loss=2.509268 lr=0.042307 Epoch[122] Batch [3599]/[3759] Speed: 97.782795 samples/sec accuracy=42.799045 loss=2.508560 lr=0.042294 Epoch[122] Batch [3649]/[3759] Speed: 96.032382 samples/sec accuracy=42.799229 loss=2.508465 lr=0.042281 Epoch[122] Batch [3699]/[3759] Speed: 96.869371 samples/sec accuracy=42.805743 loss=2.508612 lr=0.042269 Epoch[122] Batch [3749]/[3759] Speed: 112.127571 samples/sec accuracy=42.809583 loss=2.508550 lr=0.042256 Batch [0049]/[0303]: acc-top1=43.843750 acc-top5=68.968750 Batch [0099]/[0303]: acc-top1=40.703125 acc-top5=67.312500 Batch [0149]/[0303]: acc-top1=42.260417 acc-top5=68.156250 Batch [0199]/[0303]: acc-top1=45.484375 acc-top5=70.164062 Batch [0249]/[0303]: acc-top1=44.856250 acc-top5=69.912500 Batch [0299]/[0303]: acc-top1=44.296875 acc-top5=69.963542 [Epoch 122] training: accuracy=42.796040 loss=2.509015 [Epoch 122] speed: 96 samples/sec time cost: 2675.194984 [Epoch 122] validation: acc-top1=44.286304 acc-top5=69.987624 loss=2.621101 Epoch[123] Batch [0049]/[3760] Speed: 67.835298 samples/sec accuracy=42.750000 loss=2.481951 lr=0.042241 Epoch[123] Batch [0099]/[3760] Speed: 92.802145 samples/sec accuracy=43.328125 loss=2.481125 lr=0.042228 Epoch[123] Batch [0149]/[3760] Speed: 98.039666 samples/sec accuracy=43.489583 loss=2.485972 lr=0.042215 Epoch[123] Batch [0199]/[3760] Speed: 94.956397 samples/sec accuracy=43.609375 loss=2.474071 lr=0.042203 Epoch[123] Batch [0249]/[3760] Speed: 98.347051 samples/sec accuracy=43.912500 loss=2.456161 lr=0.042190 Epoch[123] Batch [0299]/[3760] Speed: 94.393773 samples/sec accuracy=43.973958 loss=2.446151 lr=0.042177 Epoch[123] Batch [0349]/[3760] Speed: 99.644214 samples/sec accuracy=43.946429 loss=2.448435 lr=0.042164 Epoch[123] Batch [0399]/[3760] Speed: 97.107994 samples/sec accuracy=44.101562 loss=2.446982 lr=0.042152 Epoch[123] Batch [0449]/[3760] Speed: 97.178395 samples/sec accuracy=43.909722 loss=2.458269 lr=0.042139 Epoch[123] Batch [0499]/[3760] Speed: 98.407528 samples/sec accuracy=43.868750 loss=2.460247 lr=0.042126 Epoch[123] 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accuracy=43.678125 loss=2.471943 lr=0.041999 Epoch[123] Batch [1049]/[3760] Speed: 97.320430 samples/sec accuracy=43.595238 loss=2.473873 lr=0.041986 Epoch[123] Batch [1099]/[3760] Speed: 96.540214 samples/sec accuracy=43.582386 loss=2.473365 lr=0.041973 Epoch[123] Batch [1149]/[3760] Speed: 98.585664 samples/sec accuracy=43.573370 loss=2.473538 lr=0.041961 Epoch[123] Batch [1199]/[3760] Speed: 97.543484 samples/sec accuracy=43.515625 loss=2.474685 lr=0.041948 Epoch[123] Batch [1249]/[3760] Speed: 98.189334 samples/sec accuracy=43.447500 loss=2.476959 lr=0.041935 Epoch[123] Batch [1299]/[3760] Speed: 96.577585 samples/sec accuracy=43.456731 loss=2.476207 lr=0.041922 Epoch[123] Batch [1349]/[3760] Speed: 97.656221 samples/sec accuracy=43.460648 loss=2.477471 lr=0.041910 Epoch[123] Batch [1399]/[3760] Speed: 98.167820 samples/sec accuracy=43.460938 loss=2.476660 lr=0.041897 Epoch[123] Batch [1449]/[3760] Speed: 97.428862 samples/sec accuracy=43.429957 loss=2.478274 lr=0.041884 Epoch[123] 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accuracy=43.349359 loss=2.484789 lr=0.041757 Epoch[123] Batch [1999]/[3760] Speed: 96.103355 samples/sec accuracy=43.328125 loss=2.485225 lr=0.041744 Epoch[123] Batch [2049]/[3760] Speed: 98.117153 samples/sec accuracy=43.276677 loss=2.486686 lr=0.041732 Epoch[123] Batch [2099]/[3760] Speed: 97.258210 samples/sec accuracy=43.304315 loss=2.486040 lr=0.041719 Epoch[123] Batch [2149]/[3760] Speed: 98.055433 samples/sec accuracy=43.280523 loss=2.486734 lr=0.041706 Epoch[123] Batch [2199]/[3760] Speed: 98.351117 samples/sec accuracy=43.273438 loss=2.486810 lr=0.041693 Epoch[123] Batch [2249]/[3760] Speed: 96.981208 samples/sec accuracy=43.243750 loss=2.487735 lr=0.041681 Epoch[123] Batch [2299]/[3760] Speed: 97.859199 samples/sec accuracy=43.255435 loss=2.486991 lr=0.041668 Epoch[123] Batch [2349]/[3760] Speed: 97.859310 samples/sec accuracy=43.289229 loss=2.485191 lr=0.041655 Epoch[123] Batch [2399]/[3760] Speed: 97.846497 samples/sec accuracy=43.284505 loss=2.486228 lr=0.041643 Epoch[123] 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accuracy=43.245690 loss=2.490990 lr=0.041515 Epoch[123] Batch [2949]/[3760] Speed: 96.132473 samples/sec accuracy=43.236758 loss=2.491289 lr=0.041503 Epoch[123] Batch [2999]/[3760] Speed: 97.827077 samples/sec accuracy=43.223958 loss=2.491441 lr=0.041490 Epoch[123] Batch [3049]/[3760] Speed: 97.548963 samples/sec accuracy=43.210041 loss=2.491898 lr=0.041477 Epoch[123] Batch [3099]/[3760] Speed: 97.577423 samples/sec accuracy=43.211694 loss=2.492797 lr=0.041465 Epoch[123] Batch [3149]/[3760] Speed: 96.880919 samples/sec accuracy=43.204365 loss=2.493605 lr=0.041452 Epoch[123] Batch [3199]/[3760] Speed: 96.481510 samples/sec accuracy=43.193848 loss=2.493998 lr=0.041439 Epoch[123] Batch [3249]/[3760] Speed: 97.654236 samples/sec accuracy=43.206250 loss=2.494016 lr=0.041426 Epoch[123] Batch [3299]/[3760] Speed: 97.322340 samples/sec accuracy=43.205492 loss=2.494423 lr=0.041414 Epoch[123] Batch [3349]/[3760] Speed: 97.775402 samples/sec accuracy=43.194496 loss=2.494858 lr=0.041401 Epoch[123] Batch [3399]/[3760] Speed: 95.761235 samples/sec accuracy=43.169577 loss=2.496127 lr=0.041388 Epoch[123] Batch [3449]/[3760] Speed: 98.521511 samples/sec accuracy=43.158514 loss=2.496395 lr=0.041376 Epoch[123] Batch [3499]/[3760] Speed: 98.485392 samples/sec accuracy=43.146429 loss=2.497074 lr=0.041363 Epoch[123] Batch [3549]/[3760] Speed: 97.255126 samples/sec accuracy=43.148768 loss=2.497310 lr=0.041350 Epoch[123] Batch [3599]/[3760] Speed: 97.150517 samples/sec accuracy=43.178819 loss=2.496166 lr=0.041338 Epoch[123] Batch [3649]/[3760] Speed: 96.484097 samples/sec accuracy=43.149401 loss=2.497179 lr=0.041325 Epoch[123] Batch [3699]/[3760] Speed: 98.123993 samples/sec accuracy=43.120777 loss=2.497975 lr=0.041312 Epoch[123] Batch [3749]/[3760] Speed: 109.587259 samples/sec accuracy=43.128750 loss=2.497814 lr=0.041299 Batch [0049]/[0303]: acc-top1=43.875000 acc-top5=69.125000 Batch [0099]/[0303]: acc-top1=40.781250 acc-top5=67.515625 Batch [0149]/[0303]: acc-top1=42.375000 acc-top5=68.479167 Batch [0199]/[0303]: acc-top1=45.109375 acc-top5=70.492188 Batch [0249]/[0303]: acc-top1=44.587500 acc-top5=70.187500 Batch [0299]/[0303]: acc-top1=43.744792 acc-top5=69.890625 [Epoch 123] training: accuracy=43.117520 loss=2.498227 [Epoch 123] speed: 96 samples/sec time cost: 2674.975092 [Epoch 123] validation: acc-top1=43.688119 acc-top5=69.863861 loss=2.620343 Epoch[124] Batch [0049]/[3760] Speed: 66.428685 samples/sec accuracy=44.562500 loss=2.416728 lr=0.041284 Epoch[124] Batch [0099]/[3760] Speed: 93.637847 samples/sec accuracy=44.656250 loss=2.422855 lr=0.041271 Epoch[124] Batch [0149]/[3760] Speed: 96.856134 samples/sec accuracy=44.770833 loss=2.423041 lr=0.041259 Epoch[124] Batch [0199]/[3760] Speed: 95.110112 samples/sec accuracy=44.210938 loss=2.447342 lr=0.041246 Epoch[124] Batch [0249]/[3760] Speed: 98.608310 samples/sec accuracy=43.787500 loss=2.459903 lr=0.041233 Epoch[124] Batch [0299]/[3760] Speed: 95.813142 samples/sec accuracy=43.765625 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Batch [3649]/[3760] Speed: 96.928116 samples/sec accuracy=43.243579 loss=2.490080 lr=0.040371 Epoch[124] Batch [3699]/[3760] Speed: 97.665579 samples/sec accuracy=43.242399 loss=2.490111 lr=0.040359 Epoch[124] Batch [3749]/[3760] Speed: 109.928086 samples/sec accuracy=43.248750 loss=2.490177 lr=0.040346 Batch [0049]/[0303]: acc-top1=42.468750 acc-top5=68.250000 Batch [0099]/[0303]: acc-top1=40.796875 acc-top5=67.078125 Batch [0149]/[0303]: acc-top1=42.260417 acc-top5=67.802083 Batch [0199]/[0303]: acc-top1=45.335938 acc-top5=70.156250 Batch [0249]/[0303]: acc-top1=44.512500 acc-top5=70.006250 Batch [0299]/[0303]: acc-top1=43.666667 acc-top5=69.906250 [Epoch 124] training: accuracy=43.252161 loss=2.489972 [Epoch 124] speed: 96 samples/sec time cost: 2680.425138 [Epoch 124] validation: acc-top1=43.554043 acc-top5=69.874175 loss=2.631726 Epoch[125] Batch [0049]/[3759] Speed: 67.920194 samples/sec accuracy=45.375000 loss=2.409216 lr=0.040331 Epoch[125] Batch [0099]/[3759] Speed: 94.596746 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lr=0.039485 Epoch[125] Batch [3449]/[3759] Speed: 97.581422 samples/sec accuracy=43.574728 loss=2.474441 lr=0.039472 Epoch[125] Batch [3499]/[3759] Speed: 96.652120 samples/sec accuracy=43.569643 loss=2.474424 lr=0.039459 Epoch[125] Batch [3549]/[3759] Speed: 98.581873 samples/sec accuracy=43.556778 loss=2.474801 lr=0.039447 Epoch[125] Batch [3599]/[3759] Speed: 96.041718 samples/sec accuracy=43.536892 loss=2.475703 lr=0.039434 Epoch[125] Batch [3649]/[3759] Speed: 96.964816 samples/sec accuracy=43.514555 loss=2.476413 lr=0.039421 Epoch[125] Batch [3699]/[3759] Speed: 98.556400 samples/sec accuracy=43.516047 loss=2.476087 lr=0.039409 Epoch[125] Batch [3749]/[3759] Speed: 112.972170 samples/sec accuracy=43.493750 loss=2.476520 lr=0.039396 Batch [0049]/[0303]: acc-top1=45.062500 acc-top5=70.500000 Batch [0099]/[0303]: acc-top1=42.843750 acc-top5=68.906250 Batch [0149]/[0303]: acc-top1=44.677083 acc-top5=69.968750 Batch [0199]/[0303]: acc-top1=47.140625 acc-top5=71.867188 Batch [0249]/[0303]: acc-top1=45.862500 acc-top5=71.281250 Batch [0299]/[0303]: acc-top1=45.000000 acc-top5=71.119792 [Epoch 125] training: accuracy=43.492701 loss=2.476480 [Epoch 125] speed: 96 samples/sec time cost: 2673.000006 [Epoch 125] validation: acc-top1=45.013408 acc-top5=71.137583 loss=2.477952 Epoch[126] Batch [0049]/[3760] Speed: 66.623493 samples/sec accuracy=43.781250 loss=2.424272 lr=0.039381 Epoch[126] Batch [0099]/[3760] Speed: 94.715081 samples/sec accuracy=44.296875 loss=2.442426 lr=0.039369 Epoch[126] Batch [0149]/[3760] Speed: 98.067460 samples/sec accuracy=44.302083 loss=2.442344 lr=0.039356 Epoch[126] Batch [0199]/[3760] Speed: 95.533617 samples/sec accuracy=44.335938 loss=2.436126 lr=0.039344 Epoch[126] Batch [0249]/[3760] Speed: 99.305154 samples/sec accuracy=44.281250 loss=2.435781 lr=0.039331 Epoch[126] Batch [0299]/[3760] Speed: 95.824293 samples/sec accuracy=44.192708 loss=2.433896 lr=0.039318 Epoch[126] Batch [0349]/[3760] Speed: 98.215248 samples/sec 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Batch [3699]/[3760] Speed: 95.646107 samples/sec accuracy=43.909206 loss=2.458757 lr=0.038463 Epoch[126] Batch [3749]/[3760] Speed: 112.220159 samples/sec accuracy=43.886250 loss=2.459679 lr=0.038451 Batch [0049]/[0303]: acc-top1=46.125000 acc-top5=71.906250 Batch [0099]/[0303]: acc-top1=42.218750 acc-top5=68.843750 Batch [0149]/[0303]: acc-top1=43.854167 acc-top5=69.843750 Batch [0199]/[0303]: acc-top1=46.695312 acc-top5=71.664062 Batch [0249]/[0303]: acc-top1=45.762500 acc-top5=71.068750 Batch [0299]/[0303]: acc-top1=45.265625 acc-top5=71.250000 [Epoch 126] training: accuracy=43.886303 loss=2.459830 [Epoch 126] speed: 97 samples/sec time cost: 2667.622362 [Epoch 126] validation: acc-top1=45.250619 acc-top5=71.266502 loss=2.477553 Epoch[127] Batch [0049]/[3760] Speed: 66.269982 samples/sec accuracy=44.375000 loss=2.409540 lr=0.038436 Epoch[127] Batch [0099]/[3760] Speed: 93.817954 samples/sec accuracy=44.203125 loss=2.431805 lr=0.038423 Epoch[127] Batch [0149]/[3760] Speed: 95.283660 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lr=0.037584 Epoch[127] Batch [3499]/[3760] Speed: 97.114746 samples/sec accuracy=44.153571 loss=2.443952 lr=0.037572 Epoch[127] Batch [3549]/[3760] Speed: 98.265564 samples/sec accuracy=44.172975 loss=2.443375 lr=0.037559 Epoch[127] Batch [3599]/[3760] Speed: 96.258895 samples/sec accuracy=44.165365 loss=2.443689 lr=0.037547 Epoch[127] Batch [3649]/[3760] Speed: 97.295422 samples/sec accuracy=44.140839 loss=2.444432 lr=0.037534 Epoch[127] Batch [3699]/[3760] Speed: 97.330010 samples/sec accuracy=44.132179 loss=2.445544 lr=0.037522 Epoch[127] Batch [3749]/[3760] Speed: 108.909811 samples/sec accuracy=44.113333 loss=2.445775 lr=0.037509 Batch [0049]/[0303]: acc-top1=47.937500 acc-top5=72.437500 Batch [0099]/[0303]: acc-top1=44.156250 acc-top5=70.515625 Batch [0149]/[0303]: acc-top1=45.135417 acc-top5=70.791667 Batch [0199]/[0303]: acc-top1=47.398438 acc-top5=72.445312 Batch [0249]/[0303]: acc-top1=46.243750 acc-top5=71.912500 Batch [0299]/[0303]: acc-top1=45.479167 acc-top5=71.682292 [Epoch 127] training: accuracy=44.111536 loss=2.445997 [Epoch 127] speed: 96 samples/sec time cost: 2680.736977 [Epoch 127] validation: acc-top1=45.451733 acc-top5=71.627475 loss=2.446096 Epoch[128] Batch [0049]/[3759] Speed: 66.950422 samples/sec accuracy=46.187500 loss=2.341332 lr=0.037494 Epoch[128] Batch [0099]/[3759] Speed: 92.738670 samples/sec accuracy=45.328125 loss=2.363109 lr=0.037482 Epoch[128] Batch [0149]/[3759] Speed: 97.234664 samples/sec accuracy=45.208333 loss=2.377743 lr=0.037469 Epoch[128] Batch [0199]/[3759] Speed: 95.037944 samples/sec accuracy=45.023438 loss=2.391441 lr=0.037457 Epoch[128] Batch [0249]/[3759] Speed: 99.239480 samples/sec accuracy=45.206250 loss=2.378285 lr=0.037444 Epoch[128] Batch [0299]/[3759] Speed: 93.288301 samples/sec accuracy=44.989583 loss=2.383916 lr=0.037432 Epoch[128] Batch [0349]/[3759] Speed: 99.810538 samples/sec accuracy=44.955357 loss=2.388151 lr=0.037419 Epoch[128] Batch [0399]/[3759] Speed: 96.577867 samples/sec accuracy=45.046875 loss=2.391431 lr=0.037407 Epoch[128] Batch [0449]/[3759] Speed: 97.697099 samples/sec accuracy=45.107639 loss=2.388692 lr=0.037394 Epoch[128] Batch [0499]/[3759] Speed: 96.559674 samples/sec accuracy=45.043750 loss=2.391746 lr=0.037382 Epoch[128] Batch [0549]/[3759] Speed: 94.843323 samples/sec accuracy=45.025568 loss=2.394036 lr=0.037369 Epoch[128] Batch [0599]/[3759] Speed: 98.703434 samples/sec accuracy=45.125000 loss=2.391533 lr=0.037357 Epoch[128] Batch [0649]/[3759] Speed: 96.506945 samples/sec accuracy=45.081731 loss=2.391750 lr=0.037345 Epoch[128] Batch [0699]/[3759] Speed: 98.148686 samples/sec accuracy=44.997768 loss=2.397060 lr=0.037332 Epoch[128] Batch [0749]/[3759] Speed: 95.758579 samples/sec accuracy=44.960417 loss=2.398685 lr=0.037320 Epoch[128] Batch [0799]/[3759] Speed: 96.153831 samples/sec accuracy=44.970703 loss=2.400361 lr=0.037307 Epoch[128] Batch [0849]/[3759] Speed: 96.960624 samples/sec accuracy=44.963235 loss=2.401491 lr=0.037295 Epoch[128] 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accuracy=44.637731 loss=2.419086 lr=0.037170 Epoch[128] Batch [1399]/[3759] Speed: 98.025113 samples/sec accuracy=44.646205 loss=2.416880 lr=0.037157 Epoch[128] Batch [1449]/[3759] Speed: 97.552202 samples/sec accuracy=44.667026 loss=2.415216 lr=0.037145 Epoch[128] Batch [1499]/[3759] Speed: 97.477041 samples/sec accuracy=44.665625 loss=2.416621 lr=0.037133 Epoch[128] Batch [1549]/[3759] Speed: 96.393255 samples/sec accuracy=44.644153 loss=2.419675 lr=0.037120 Epoch[128] Batch [1599]/[3759] Speed: 98.801441 samples/sec accuracy=44.599609 loss=2.420480 lr=0.037108 Epoch[128] Batch [1649]/[3759] Speed: 96.402470 samples/sec accuracy=44.556818 loss=2.422742 lr=0.037095 Epoch[128] Batch [1699]/[3759] Speed: 97.192267 samples/sec accuracy=44.536765 loss=2.423063 lr=0.037083 Epoch[128] Batch [1749]/[3759] Speed: 97.317124 samples/sec accuracy=44.529464 loss=2.422867 lr=0.037070 Epoch[128] Batch [1799]/[3759] Speed: 96.234688 samples/sec accuracy=44.522569 loss=2.422060 lr=0.037058 Epoch[128] 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accuracy=44.367527 loss=2.431095 lr=0.036933 Epoch[128] Batch [2349]/[3759] Speed: 97.122622 samples/sec accuracy=44.373670 loss=2.431207 lr=0.036921 Epoch[128] Batch [2399]/[3759] Speed: 97.024365 samples/sec accuracy=44.400391 loss=2.430577 lr=0.036908 Epoch[128] Batch [2449]/[3759] Speed: 96.780318 samples/sec accuracy=44.408801 loss=2.429722 lr=0.036896 Epoch[128] Batch [2499]/[3759] Speed: 97.971745 samples/sec accuracy=44.396250 loss=2.430337 lr=0.036883 Epoch[128] Batch [2549]/[3759] Speed: 96.429932 samples/sec accuracy=44.382353 loss=2.431670 lr=0.036871 Epoch[128] Batch [2599]/[3759] Speed: 97.493632 samples/sec accuracy=44.409255 loss=2.431262 lr=0.036859 Epoch[128] Batch [2649]/[3759] Speed: 97.850267 samples/sec accuracy=44.444575 loss=2.430476 lr=0.036846 Epoch[128] Batch [2699]/[3759] Speed: 96.740724 samples/sec accuracy=44.449653 loss=2.430418 lr=0.036834 Epoch[128] Batch [2749]/[3759] Speed: 97.035236 samples/sec accuracy=44.465909 loss=2.429176 lr=0.036821 Epoch[128] Batch [2799]/[3759] Speed: 96.306556 samples/sec accuracy=44.455357 loss=2.429776 lr=0.036809 Epoch[128] Batch [2849]/[3759] Speed: 96.861004 samples/sec accuracy=44.450110 loss=2.428615 lr=0.036796 Epoch[128] Batch [2899]/[3759] Speed: 98.080861 samples/sec accuracy=44.460668 loss=2.428340 lr=0.036784 Epoch[128] Batch [2949]/[3759] Speed: 97.815633 samples/sec accuracy=44.441737 loss=2.429103 lr=0.036771 Epoch[128] Batch [2999]/[3759] Speed: 97.832630 samples/sec accuracy=44.443750 loss=2.429137 lr=0.036759 Epoch[128] Batch [3049]/[3759] Speed: 95.578813 samples/sec accuracy=44.451844 loss=2.429440 lr=0.036747 Epoch[128] Batch [3099]/[3759] Speed: 97.466274 samples/sec accuracy=44.460685 loss=2.429402 lr=0.036734 Epoch[128] Batch [3149]/[3759] Speed: 96.509001 samples/sec accuracy=44.461310 loss=2.429985 lr=0.036722 Epoch[128] Batch [3199]/[3759] Speed: 97.990451 samples/sec accuracy=44.451172 loss=2.430802 lr=0.036709 Epoch[128] Batch [3249]/[3759] Speed: 96.601725 samples/sec accuracy=44.445192 loss=2.430897 lr=0.036697 Epoch[128] Batch [3299]/[3759] Speed: 96.232091 samples/sec accuracy=44.447917 loss=2.431126 lr=0.036684 Epoch[128] Batch [3349]/[3759] Speed: 97.052882 samples/sec accuracy=44.432836 loss=2.431130 lr=0.036672 Epoch[128] Batch [3399]/[3759] Speed: 96.500247 samples/sec accuracy=44.443934 loss=2.430703 lr=0.036660 Epoch[128] Batch [3449]/[3759] Speed: 97.385693 samples/sec accuracy=44.445652 loss=2.430381 lr=0.036647 Epoch[128] Batch [3499]/[3759] Speed: 97.198252 samples/sec accuracy=44.438393 loss=2.430715 lr=0.036635 Epoch[128] Batch [3549]/[3759] Speed: 96.297011 samples/sec accuracy=44.444982 loss=2.431168 lr=0.036622 Epoch[128] Batch [3599]/[3759] Speed: 97.289496 samples/sec accuracy=44.442274 loss=2.430952 lr=0.036610 Epoch[128] Batch [3649]/[3759] Speed: 96.707286 samples/sec accuracy=44.431079 loss=2.431955 lr=0.036597 Epoch[128] Batch [3699]/[3759] Speed: 97.925210 samples/sec accuracy=44.431588 loss=2.432295 lr=0.036585 Epoch[128] Batch [3749]/[3759] Speed: 110.621253 samples/sec accuracy=44.393750 loss=2.433770 lr=0.036573 Batch [0049]/[0303]: acc-top1=47.750000 acc-top5=71.750000 Batch [0099]/[0303]: acc-top1=43.109375 acc-top5=69.250000 Batch [0149]/[0303]: acc-top1=44.489583 acc-top5=70.239583 Batch [0199]/[0303]: acc-top1=46.820312 acc-top5=71.601562 Batch [0249]/[0303]: acc-top1=46.268750 acc-top5=71.556250 Batch [0299]/[0303]: acc-top1=45.541667 acc-top5=71.421875 [Epoch 128] training: accuracy=44.390546 loss=2.434087 [Epoch 128] speed: 96 samples/sec time cost: 2684.400387 [Epoch 128] validation: acc-top1=45.539398 acc-top5=71.421205 loss=2.538345 Epoch[129] Batch [0049]/[3760] Speed: 67.949145 samples/sec accuracy=45.343750 loss=2.373264 lr=0.036558 Epoch[129] Batch [0099]/[3760] Speed: 93.972839 samples/sec accuracy=45.031250 loss=2.386343 lr=0.036546 Epoch[129] Batch [0149]/[3760] Speed: 98.253651 samples/sec accuracy=44.822917 loss=2.390982 lr=0.036533 Epoch[129] Batch [0199]/[3760] Speed: 94.889563 samples/sec accuracy=44.578125 loss=2.396443 lr=0.036521 Epoch[129] Batch [0249]/[3760] Speed: 99.887067 samples/sec accuracy=44.656250 loss=2.399889 lr=0.036508 Epoch[129] Batch [0299]/[3760] Speed: 96.092101 samples/sec accuracy=44.822917 loss=2.401186 lr=0.036496 Epoch[129] Batch [0349]/[3760] Speed: 98.291041 samples/sec accuracy=44.941964 loss=2.396138 lr=0.036483 Epoch[129] Batch [0399]/[3760] Speed: 97.064718 samples/sec accuracy=44.839844 loss=2.401621 lr=0.036471 Epoch[129] Batch [0449]/[3760] Speed: 95.496434 samples/sec accuracy=44.791667 loss=2.404405 lr=0.036459 Epoch[129] Batch [0499]/[3760] Speed: 99.505093 samples/sec accuracy=44.746875 loss=2.405445 lr=0.036446 Epoch[129] Batch [0549]/[3760] Speed: 97.212013 samples/sec accuracy=44.701705 loss=2.409216 lr=0.036434 Epoch[129] Batch [0599]/[3760] Speed: 98.689209 samples/sec accuracy=44.760417 loss=2.409583 lr=0.036421 Epoch[129] Batch [0649]/[3760] Speed: 97.671372 samples/sec accuracy=44.872596 loss=2.405573 lr=0.036409 Epoch[129] Batch [0699]/[3760] Speed: 95.634062 samples/sec accuracy=44.756696 loss=2.408332 lr=0.036397 Epoch[129] Batch [0749]/[3760] Speed: 99.323708 samples/sec accuracy=44.675000 loss=2.410861 lr=0.036384 Epoch[129] Batch [0799]/[3760] Speed: 97.791951 samples/sec accuracy=44.648438 loss=2.409751 lr=0.036372 Epoch[129] Batch [0849]/[3760] Speed: 96.830289 samples/sec accuracy=44.637868 loss=2.411796 lr=0.036359 Epoch[129] Batch [0899]/[3760] Speed: 98.052079 samples/sec accuracy=44.644097 loss=2.413466 lr=0.036347 Epoch[129] Batch [0949]/[3760] Speed: 95.544862 samples/sec accuracy=44.643092 loss=2.412569 lr=0.036334 Epoch[129] Batch [0999]/[3760] Speed: 98.080383 samples/sec accuracy=44.579687 loss=2.416319 lr=0.036322 Epoch[129] Batch [1049]/[3760] Speed: 98.032481 samples/sec accuracy=44.575893 loss=2.416191 lr=0.036310 Epoch[129] Batch [1099]/[3760] Speed: 96.856813 samples/sec accuracy=44.637784 loss=2.413490 lr=0.036297 Epoch[129] Batch [1149]/[3760] Speed: 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lr=0.036173 Epoch[129] Batch [1649]/[3760] Speed: 98.161467 samples/sec accuracy=44.716856 loss=2.411557 lr=0.036161 Epoch[129] Batch [1699]/[3760] Speed: 96.480502 samples/sec accuracy=44.744485 loss=2.411034 lr=0.036148 Epoch[129] Batch [1749]/[3760] Speed: 97.471678 samples/sec accuracy=44.726786 loss=2.411305 lr=0.036136 Epoch[129] Batch [1799]/[3760] Speed: 97.073985 samples/sec accuracy=44.721354 loss=2.412425 lr=0.036124 Epoch[129] Batch [1849]/[3760] Speed: 97.061382 samples/sec accuracy=44.708615 loss=2.413303 lr=0.036111 Epoch[129] Batch [1899]/[3760] Speed: 97.967365 samples/sec accuracy=44.716283 loss=2.412296 lr=0.036099 Epoch[129] Batch [1949]/[3760] Speed: 95.500904 samples/sec accuracy=44.684295 loss=2.413299 lr=0.036087 Epoch[129] Batch [1999]/[3760] Speed: 97.460163 samples/sec accuracy=44.692969 loss=2.412925 lr=0.036074 Epoch[129] Batch [2049]/[3760] Speed: 97.829836 samples/sec accuracy=44.683689 loss=2.412239 lr=0.036062 Epoch[129] Batch [2099]/[3760] Speed: 97.116741 samples/sec accuracy=44.686012 loss=2.412287 lr=0.036049 Epoch[129] Batch [2149]/[3760] Speed: 98.209186 samples/sec accuracy=44.686047 loss=2.413230 lr=0.036037 Epoch[129] Batch [2199]/[3760] Speed: 96.509175 samples/sec accuracy=44.708807 loss=2.411676 lr=0.036025 Epoch[129] Batch [2249]/[3760] Speed: 97.121455 samples/sec accuracy=44.677778 loss=2.411864 lr=0.036012 Epoch[129] Batch [2299]/[3760] Speed: 96.738107 samples/sec accuracy=44.620245 loss=2.414191 lr=0.036000 Epoch[129] Batch [2349]/[3760] Speed: 97.699857 samples/sec accuracy=44.638963 loss=2.413577 lr=0.035987 Epoch[129] Batch [2399]/[3760] Speed: 97.549007 samples/sec accuracy=44.627604 loss=2.414696 lr=0.035975 Epoch[129] Batch [2449]/[3760] Speed: 95.634002 samples/sec accuracy=44.674107 loss=2.412123 lr=0.035963 Epoch[129] Batch [2499]/[3760] Speed: 98.488839 samples/sec accuracy=44.648125 loss=2.413190 lr=0.035950 Epoch[129] Batch [2549]/[3760] Speed: 96.816208 samples/sec accuracy=44.655637 loss=2.413466 lr=0.035938 Epoch[129] Batch [2599]/[3760] Speed: 97.912537 samples/sec accuracy=44.658053 loss=2.413771 lr=0.035926 Epoch[129] Batch [2649]/[3760] Speed: 96.953139 samples/sec accuracy=44.635613 loss=2.414142 lr=0.035913 Epoch[129] Batch [2699]/[3760] Speed: 96.310899 samples/sec accuracy=44.641782 loss=2.414190 lr=0.035901 Epoch[129] Batch [2749]/[3760] Speed: 97.190608 samples/sec accuracy=44.625000 loss=2.415006 lr=0.035888 Epoch[129] Batch [2799]/[3760] Speed: 97.840392 samples/sec accuracy=44.625000 loss=2.415538 lr=0.035876 Epoch[129] Batch [2849]/[3760] Speed: 96.756156 samples/sec accuracy=44.606908 loss=2.415409 lr=0.035864 Epoch[129] Batch [2899]/[3760] Speed: 97.928994 samples/sec accuracy=44.566810 loss=2.417143 lr=0.035851 Epoch[129] Batch [2949]/[3760] Speed: 96.411054 samples/sec accuracy=44.591631 loss=2.417100 lr=0.035839 Epoch[129] Batch [2999]/[3760] Speed: 96.377359 samples/sec accuracy=44.597917 loss=2.417820 lr=0.035827 Epoch[129] Batch [3049]/[3760] Speed: 97.459888 samples/sec accuracy=44.588627 loss=2.418087 lr=0.035814 Epoch[129] Batch [3099]/[3760] Speed: 97.819827 samples/sec accuracy=44.596270 loss=2.418084 lr=0.035802 Epoch[129] Batch [3149]/[3760] Speed: 97.073066 samples/sec accuracy=44.582837 loss=2.419154 lr=0.035789 Epoch[129] Batch [3199]/[3760] Speed: 96.140798 samples/sec accuracy=44.574707 loss=2.419167 lr=0.035777 Epoch[129] Batch [3249]/[3760] Speed: 96.845573 samples/sec accuracy=44.555769 loss=2.419712 lr=0.035765 Epoch[129] Batch [3299]/[3760] Speed: 98.149434 samples/sec accuracy=44.559186 loss=2.419166 lr=0.035752 Epoch[129] Batch [3349]/[3760] Speed: 96.395526 samples/sec accuracy=44.563433 loss=2.419505 lr=0.035740 Epoch[129] Batch [3399]/[3760] Speed: 97.957499 samples/sec accuracy=44.558364 loss=2.419319 lr=0.035728 Epoch[129] Batch [3449]/[3760] Speed: 96.179978 samples/sec accuracy=44.555254 loss=2.418982 lr=0.035715 Epoch[129] Batch [3499]/[3760] Speed: 97.707056 samples/sec accuracy=44.577679 loss=2.418059 lr=0.035703 Epoch[129] Batch [3549]/[3760] Speed: 97.692125 samples/sec accuracy=44.571303 loss=2.418325 lr=0.035691 Epoch[129] Batch [3599]/[3760] Speed: 97.265247 samples/sec accuracy=44.593316 loss=2.417821 lr=0.035678 Epoch[129] Batch [3649]/[3760] Speed: 97.342014 samples/sec accuracy=44.597603 loss=2.417833 lr=0.035666 Epoch[129] Batch [3699]/[3760] Speed: 95.590289 samples/sec accuracy=44.596706 loss=2.417852 lr=0.035654 Epoch[129] Batch [3749]/[3760] Speed: 110.301286 samples/sec accuracy=44.604583 loss=2.417648 lr=0.035641 Batch [0049]/[0303]: acc-top1=44.062500 acc-top5=69.156250 Batch [0099]/[0303]: acc-top1=40.593750 acc-top5=67.359375 Batch [0149]/[0303]: acc-top1=42.572917 acc-top5=68.489583 Batch [0199]/[0303]: acc-top1=45.703125 acc-top5=70.906250 Batch [0249]/[0303]: acc-top1=45.287500 acc-top5=70.875000 Batch [0299]/[0303]: acc-top1=44.802083 acc-top5=71.046875 [Epoch 129] training: accuracy=44.603557 loss=2.417398 [Epoch 129] speed: 96 samples/sec time cost: 2675.060342 [Epoch 129] validation: acc-top1=44.843234 acc-top5=71.147896 loss=2.553069 Epoch[130] Batch [0049]/[3759] Speed: 66.618365 samples/sec accuracy=46.031250 loss=2.374002 lr=0.035626 Epoch[130] Batch [0099]/[3759] Speed: 93.777182 samples/sec accuracy=45.968750 loss=2.375862 lr=0.035614 Epoch[130] Batch [0149]/[3759] Speed: 95.890397 samples/sec accuracy=46.510417 loss=2.345887 lr=0.035602 Epoch[130] Batch [0199]/[3759] Speed: 95.000575 samples/sec accuracy=46.164062 loss=2.345332 lr=0.035589 Epoch[130] Batch [0249]/[3759] Speed: 99.057486 samples/sec accuracy=45.775000 loss=2.357194 lr=0.035577 Epoch[130] Batch [0299]/[3759] Speed: 96.523756 samples/sec accuracy=45.598958 loss=2.362423 lr=0.035565 Epoch[130] Batch [0349]/[3759] Speed: 97.519446 samples/sec accuracy=45.611607 loss=2.362588 lr=0.035552 Epoch[130] Batch [0399]/[3759] Speed: 95.246010 samples/sec accuracy=45.421875 loss=2.370232 lr=0.035540 Epoch[130] Batch [0449]/[3759] Speed: 97.285992 samples/sec accuracy=45.288194 loss=2.377703 lr=0.035528 Epoch[130] Batch [0499]/[3759] Speed: 97.513986 samples/sec accuracy=45.246875 loss=2.375632 lr=0.035515 Epoch[130] Batch [0549]/[3759] Speed: 96.721078 samples/sec accuracy=45.181818 loss=2.378573 lr=0.035503 Epoch[130] Batch [0599]/[3759] Speed: 97.907596 samples/sec accuracy=45.307292 loss=2.377312 lr=0.035491 Epoch[130] Batch [0649]/[3759] Speed: 95.116235 samples/sec accuracy=45.230769 loss=2.379973 lr=0.035478 Epoch[130] Batch [0699]/[3759] Speed: 98.069282 samples/sec accuracy=45.305804 loss=2.375575 lr=0.035466 Epoch[130] Batch [0749]/[3759] Speed: 96.536882 samples/sec accuracy=45.318750 loss=2.376480 lr=0.035453 Epoch[130] Batch [0799]/[3759] Speed: 98.065166 samples/sec accuracy=45.318359 loss=2.376208 lr=0.035441 Epoch[130] Batch [0849]/[3759] Speed: 96.556508 samples/sec accuracy=45.242647 loss=2.379074 lr=0.035429 Epoch[130] Batch [0899]/[3759] Speed: 95.965043 samples/sec accuracy=45.140625 loss=2.383294 lr=0.035416 Epoch[130] 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accuracy=45.299107 loss=2.381304 lr=0.035293 Epoch[130] Batch [1449]/[3759] Speed: 97.583030 samples/sec accuracy=45.310345 loss=2.381996 lr=0.035281 Epoch[130] Batch [1499]/[3759] Speed: 97.227055 samples/sec accuracy=45.257292 loss=2.383197 lr=0.035269 Epoch[130] Batch [1549]/[3759] Speed: 97.439138 samples/sec accuracy=45.258065 loss=2.383060 lr=0.035256 Epoch[130] Batch [1599]/[3759] Speed: 96.698224 samples/sec accuracy=45.231445 loss=2.384026 lr=0.035244 Epoch[130] Batch [1649]/[3759] Speed: 96.183066 samples/sec accuracy=45.167614 loss=2.386650 lr=0.035232 Epoch[130] Batch [1699]/[3759] Speed: 97.530148 samples/sec accuracy=45.136949 loss=2.388142 lr=0.035219 Epoch[130] Batch [1749]/[3759] Speed: 97.286602 samples/sec accuracy=45.111607 loss=2.390100 lr=0.035207 Epoch[130] Batch [1799]/[3759] Speed: 98.206615 samples/sec accuracy=45.093750 loss=2.391130 lr=0.035195 Epoch[130] Batch [1849]/[3759] Speed: 96.964137 samples/sec accuracy=45.082770 loss=2.391439 lr=0.035182 Epoch[130] Batch [1899]/[3759] Speed: 96.944493 samples/sec accuracy=45.060855 loss=2.392593 lr=0.035170 Epoch[130] Batch [1949]/[3759] Speed: 96.953994 samples/sec accuracy=45.073718 loss=2.391796 lr=0.035158 Epoch[130] Batch [1999]/[3759] Speed: 97.222763 samples/sec accuracy=45.111719 loss=2.390687 lr=0.035145 Epoch[130] Batch [2049]/[3759] Speed: 97.838936 samples/sec accuracy=45.116616 loss=2.389477 lr=0.035133 Epoch[130] Batch [2099]/[3759] Speed: 97.663345 samples/sec accuracy=45.123512 loss=2.389517 lr=0.035121 Epoch[130] Batch [2149]/[3759] Speed: 95.850445 samples/sec accuracy=45.135174 loss=2.389161 lr=0.035108 Epoch[130] Batch [2199]/[3759] Speed: 97.441487 samples/sec accuracy=45.133523 loss=2.388004 lr=0.035096 Epoch[130] Batch [2249]/[3759] Speed: 97.852732 samples/sec accuracy=45.119444 loss=2.388615 lr=0.035084 Epoch[130] Batch [2299]/[3759] Speed: 97.564317 samples/sec accuracy=45.112092 loss=2.388309 lr=0.035071 Epoch[130] Batch [2349]/[3759] Speed: 97.686571 samples/sec accuracy=45.095080 loss=2.389303 lr=0.035059 Epoch[130] Batch [2399]/[3759] Speed: 95.861958 samples/sec accuracy=45.055339 loss=2.390450 lr=0.035047 Epoch[130] Batch [2449]/[3759] Speed: 97.014924 samples/sec accuracy=45.038903 loss=2.390756 lr=0.035035 Epoch[130] Batch [2499]/[3759] Speed: 98.057592 samples/sec accuracy=45.036250 loss=2.391747 lr=0.035022 Epoch[130] Batch [2549]/[3759] Speed: 97.387803 samples/sec accuracy=45.018382 loss=2.391821 lr=0.035010 Epoch[130] Batch [2599]/[3759] Speed: 97.493079 samples/sec accuracy=44.993990 loss=2.392280 lr=0.034998 Epoch[130] Batch [2649]/[3759] Speed: 95.182976 samples/sec accuracy=45.001769 loss=2.392406 lr=0.034985 Epoch[130] Batch [2699]/[3759] Speed: 98.317155 samples/sec accuracy=45.027778 loss=2.391407 lr=0.034973 Epoch[130] Batch [2749]/[3759] Speed: 96.526280 samples/sec accuracy=45.031818 loss=2.391438 lr=0.034961 Epoch[130] Batch [2799]/[3759] Speed: 97.999626 samples/sec accuracy=45.041295 loss=2.391198 lr=0.034948 Epoch[130] Batch [2849]/[3759] Speed: 98.290637 samples/sec accuracy=45.046601 loss=2.391649 lr=0.034936 Epoch[130] Batch [2899]/[3759] Speed: 94.853405 samples/sec accuracy=45.047414 loss=2.392452 lr=0.034924 Epoch[130] Batch [2949]/[3759] Speed: 98.855902 samples/sec accuracy=45.022246 loss=2.393272 lr=0.034911 Epoch[130] Batch [2999]/[3759] Speed: 97.090535 samples/sec accuracy=45.010937 loss=2.394136 lr=0.034899 Epoch[130] Batch [3049]/[3759] Speed: 97.787177 samples/sec accuracy=45.015881 loss=2.393941 lr=0.034887 Epoch[130] Batch [3099]/[3759] Speed: 98.300469 samples/sec accuracy=45.002016 loss=2.395137 lr=0.034875 Epoch[130] Batch [3149]/[3759] Speed: 94.703359 samples/sec accuracy=44.975694 loss=2.396896 lr=0.034862 Epoch[130] Batch [3199]/[3759] Speed: 99.168518 samples/sec accuracy=44.969238 loss=2.397477 lr=0.034850 Epoch[130] Batch [3249]/[3759] Speed: 96.225227 samples/sec accuracy=44.980288 loss=2.397196 lr=0.034838 Epoch[130] Batch [3299]/[3759] Speed: 97.512914 samples/sec accuracy=44.975379 loss=2.397880 lr=0.034825 Epoch[130] Batch [3349]/[3759] Speed: 97.540083 samples/sec accuracy=44.973414 loss=2.398240 lr=0.034813 Epoch[130] Batch [3399]/[3759] Speed: 94.161921 samples/sec accuracy=44.981158 loss=2.398334 lr=0.034801 Epoch[130] Batch [3449]/[3759] Speed: 98.277677 samples/sec accuracy=44.973732 loss=2.399210 lr=0.034789 Epoch[130] Batch [3499]/[3759] Speed: 96.993523 samples/sec accuracy=44.954018 loss=2.400005 lr=0.034776 Epoch[130] Batch [3549]/[3759] Speed: 98.442944 samples/sec accuracy=44.940581 loss=2.400132 lr=0.034764 Epoch[130] Batch [3599]/[3759] Speed: 97.327342 samples/sec accuracy=44.952257 loss=2.400380 lr=0.034752 Epoch[130] Batch [3649]/[3759] Speed: 95.543525 samples/sec accuracy=44.940068 loss=2.401313 lr=0.034739 Epoch[130] Batch [3699]/[3759] Speed: 99.179994 samples/sec accuracy=44.951014 loss=2.400984 lr=0.034727 Epoch[130] Batch [3749]/[3759] Speed: 111.348419 samples/sec accuracy=44.919583 loss=2.402295 lr=0.034715 Batch [0049]/[0303]: acc-top1=45.093750 acc-top5=71.343750 Batch [0099]/[0303]: acc-top1=42.765625 acc-top5=70.031250 Batch [0149]/[0303]: acc-top1=44.020833 acc-top5=70.510417 Batch [0199]/[0303]: acc-top1=47.062500 acc-top5=72.429688 Batch [0249]/[0303]: acc-top1=46.793750 acc-top5=72.612500 Batch [0299]/[0303]: acc-top1=46.156250 acc-top5=72.531250 [Epoch 130] training: accuracy=44.915120 loss=2.402521 [Epoch 130] speed: 96 samples/sec time cost: 2681.069760 [Epoch 130] validation: acc-top1=46.070545 acc-top5=72.468028 loss=2.494409 Epoch[131] Batch [0049]/[3760] Speed: 67.667519 samples/sec accuracy=46.343750 loss=2.337778 lr=0.034700 Epoch[131] Batch [0099]/[3760] Speed: 94.985785 samples/sec accuracy=45.750000 loss=2.379167 lr=0.034688 Epoch[131] Batch [0149]/[3760] Speed: 96.583778 samples/sec accuracy=45.802083 loss=2.379993 lr=0.034676 Epoch[131] Batch [0199]/[3760] Speed: 96.436324 samples/sec accuracy=45.578125 loss=2.380780 lr=0.034664 Epoch[131] Batch [0249]/[3760] Speed: 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lr=0.034541 Epoch[131] Batch [0749]/[3760] Speed: 97.057519 samples/sec accuracy=45.266667 loss=2.377445 lr=0.034529 Epoch[131] Batch [0799]/[3760] Speed: 98.076007 samples/sec accuracy=45.199219 loss=2.380946 lr=0.034516 Epoch[131] Batch [0849]/[3760] Speed: 97.741781 samples/sec accuracy=45.196691 loss=2.379194 lr=0.034504 Epoch[131] Batch [0899]/[3760] Speed: 96.593284 samples/sec accuracy=45.236111 loss=2.380101 lr=0.034492 Epoch[131] Batch [0949]/[3760] Speed: 97.609884 samples/sec accuracy=45.236842 loss=2.379227 lr=0.034480 Epoch[131] Batch [0999]/[3760] Speed: 97.215911 samples/sec accuracy=45.179688 loss=2.381418 lr=0.034467 Epoch[131] Batch [1049]/[3760] Speed: 98.010340 samples/sec accuracy=45.159226 loss=2.382429 lr=0.034455 Epoch[131] Batch [1099]/[3760] Speed: 97.815429 samples/sec accuracy=45.103693 loss=2.384624 lr=0.034443 Epoch[131] Batch [1149]/[3760] Speed: 96.510611 samples/sec accuracy=45.046196 loss=2.387823 lr=0.034431 Epoch[131] Batch [1199]/[3760] Speed: 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lr=0.034308 Epoch[131] Batch [1699]/[3760] Speed: 98.000455 samples/sec accuracy=45.110294 loss=2.390127 lr=0.034296 Epoch[131] Batch [1749]/[3760] Speed: 96.743498 samples/sec accuracy=45.111607 loss=2.390213 lr=0.034284 Epoch[131] Batch [1799]/[3760] Speed: 97.830927 samples/sec accuracy=45.138889 loss=2.390062 lr=0.034271 Epoch[131] Batch [1849]/[3760] Speed: 97.008090 samples/sec accuracy=45.114865 loss=2.392231 lr=0.034259 Epoch[131] Batch [1899]/[3760] Speed: 96.681263 samples/sec accuracy=45.085526 loss=2.392898 lr=0.034247 Epoch[131] Batch [1949]/[3760] Speed: 96.749678 samples/sec accuracy=45.051282 loss=2.393847 lr=0.034235 Epoch[131] Batch [1999]/[3760] Speed: 97.595846 samples/sec accuracy=45.075781 loss=2.392923 lr=0.034222 Epoch[131] Batch [2049]/[3760] Speed: 97.991037 samples/sec accuracy=45.080030 loss=2.392361 lr=0.034210 Epoch[131] Batch [2099]/[3760] Speed: 97.574039 samples/sec accuracy=45.076637 loss=2.392388 lr=0.034198 Epoch[131] Batch [2149]/[3760] Speed: 96.967564 samples/sec accuracy=45.045785 loss=2.392382 lr=0.034186 Epoch[131] Batch [2199]/[3760] Speed: 97.483747 samples/sec accuracy=45.115767 loss=2.389795 lr=0.034173 Epoch[131] Batch [2249]/[3760] Speed: 96.711245 samples/sec accuracy=45.108333 loss=2.390147 lr=0.034161 Epoch[131] Batch [2299]/[3760] Speed: 98.067581 samples/sec accuracy=45.128397 loss=2.390293 lr=0.034149 Epoch[131] Batch [2349]/[3760] Speed: 97.429067 samples/sec accuracy=45.120346 loss=2.390991 lr=0.034137 Epoch[131] Batch [2399]/[3760] Speed: 96.916358 samples/sec accuracy=45.122396 loss=2.391629 lr=0.034124 Epoch[131] Batch [2449]/[3760] Speed: 97.167377 samples/sec accuracy=45.133291 loss=2.391251 lr=0.034112 Epoch[131] Batch [2499]/[3760] Speed: 98.191869 samples/sec accuracy=45.148750 loss=2.390221 lr=0.034100 Epoch[131] Batch [2549]/[3760] Speed: 97.370929 samples/sec accuracy=45.169118 loss=2.389774 lr=0.034088 Epoch[131] Batch [2599]/[3760] Speed: 97.860615 samples/sec accuracy=45.129808 loss=2.391037 lr=0.034076 Epoch[131] Batch [2649]/[3760] Speed: 96.929816 samples/sec accuracy=45.141509 loss=2.390299 lr=0.034063 Epoch[131] Batch [2699]/[3760] Speed: 97.105981 samples/sec accuracy=45.145833 loss=2.391101 lr=0.034051 Epoch[131] Batch [2749]/[3760] Speed: 98.571010 samples/sec accuracy=45.141477 loss=2.390931 lr=0.034039 Epoch[131] Batch [2799]/[3760] Speed: 97.895968 samples/sec accuracy=45.143415 loss=2.391081 lr=0.034027 Epoch[131] Batch [2849]/[3760] Speed: 97.505749 samples/sec accuracy=45.160088 loss=2.389964 lr=0.034014 Epoch[131] Batch [2899]/[3760] Speed: 95.775883 samples/sec accuracy=45.150323 loss=2.390212 lr=0.034002 Epoch[131] Batch [2949]/[3760] Speed: 97.671736 samples/sec accuracy=45.159958 loss=2.389459 lr=0.033990 Epoch[131] Batch [2999]/[3760] Speed: 97.596471 samples/sec accuracy=45.174479 loss=2.388830 lr=0.033978 Epoch[131] Batch [3049]/[3760] Speed: 96.814000 samples/sec accuracy=45.171619 loss=2.388218 lr=0.033966 Epoch[131] Batch [3099]/[3760] Speed: 97.646969 samples/sec accuracy=45.192036 loss=2.388283 lr=0.033953 Epoch[131] Batch [3149]/[3760] Speed: 94.770090 samples/sec accuracy=45.189484 loss=2.388513 lr=0.033941 Epoch[131] Batch [3199]/[3760] Speed: 98.205478 samples/sec accuracy=45.186523 loss=2.388284 lr=0.033929 Epoch[131] Batch [3249]/[3760] Speed: 97.446348 samples/sec accuracy=45.201923 loss=2.387293 lr=0.033917 Epoch[131] Batch [3299]/[3760] Speed: 97.370087 samples/sec accuracy=45.189394 loss=2.388345 lr=0.033904 Epoch[131] Batch [3349]/[3760] Speed: 97.445449 samples/sec accuracy=45.190765 loss=2.388680 lr=0.033892 Epoch[131] Batch [3399]/[3760] Speed: 95.990757 samples/sec accuracy=45.187500 loss=2.389028 lr=0.033880 Epoch[131] Batch [3449]/[3760] Speed: 98.197686 samples/sec accuracy=45.165308 loss=2.390470 lr=0.033868 Epoch[131] Batch [3499]/[3760] Speed: 97.185887 samples/sec accuracy=45.169196 loss=2.390660 lr=0.033856 Epoch[131] Batch [3549]/[3760] Speed: 97.004366 samples/sec accuracy=45.165493 loss=2.390520 lr=0.033843 Epoch[131] Batch [3599]/[3760] Speed: 96.768203 samples/sec accuracy=45.152344 loss=2.391045 lr=0.033831 Epoch[131] Batch [3649]/[3760] Speed: 95.399871 samples/sec accuracy=45.146832 loss=2.391155 lr=0.033819 Epoch[131] Batch [3699]/[3760] Speed: 99.051393 samples/sec accuracy=45.125000 loss=2.391501 lr=0.033807 Epoch[131] Batch [3749]/[3760] Speed: 111.356247 samples/sec accuracy=45.110833 loss=2.391718 lr=0.033795 Batch [0049]/[0303]: acc-top1=46.687500 acc-top5=72.093750 Batch [0099]/[0303]: acc-top1=43.406250 acc-top5=70.546875 Batch [0149]/[0303]: acc-top1=45.395833 acc-top5=71.031250 Batch [0199]/[0303]: acc-top1=48.343750 acc-top5=72.757812 Batch [0249]/[0303]: acc-top1=47.425000 acc-top5=72.462500 Batch [0299]/[0303]: acc-top1=46.848958 acc-top5=72.229167 [Epoch 131] training: accuracy=45.110123 loss=2.391978 [Epoch 131] speed: 96 samples/sec time cost: 2672.683245 [Epoch 131] validation: acc-top1=46.823432 acc-top5=72.199876 loss=2.437897 Epoch[132] Batch 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accuracy=45.762500 loss=2.357324 lr=0.033670 Epoch[132] Batch [0549]/[3760] Speed: 96.397485 samples/sec accuracy=45.661932 loss=2.360878 lr=0.033658 Epoch[132] Batch [0599]/[3760] Speed: 98.160252 samples/sec accuracy=45.781250 loss=2.359044 lr=0.033646 Epoch[132] Batch [0649]/[3760] Speed: 95.344973 samples/sec accuracy=45.858173 loss=2.354418 lr=0.033634 Epoch[132] Batch [0699]/[3760] Speed: 97.589089 samples/sec accuracy=45.830357 loss=2.357355 lr=0.033621 Epoch[132] Batch [0749]/[3760] Speed: 97.291791 samples/sec accuracy=45.825000 loss=2.359256 lr=0.033609 Epoch[132] Batch [0799]/[3760] Speed: 97.833726 samples/sec accuracy=45.708984 loss=2.363685 lr=0.033597 Epoch[132] Batch [0849]/[3760] Speed: 97.221913 samples/sec accuracy=45.691176 loss=2.362944 lr=0.033585 Epoch[132] Batch [0899]/[3760] Speed: 96.648308 samples/sec accuracy=45.651042 loss=2.365086 lr=0.033573 Epoch[132] Batch [0949]/[3760] Speed: 98.210741 samples/sec accuracy=45.731908 loss=2.362578 lr=0.033561 Epoch[132] Batch [0999]/[3760] Speed: 97.131082 samples/sec accuracy=45.664062 loss=2.367497 lr=0.033548 Epoch[132] Batch [1049]/[3760] Speed: 98.056473 samples/sec accuracy=45.705357 loss=2.368246 lr=0.033536 Epoch[132] Batch [1099]/[3760] Speed: 96.808373 samples/sec accuracy=45.666193 loss=2.368737 lr=0.033524 Epoch[132] Batch [1149]/[3760] Speed: 97.209320 samples/sec accuracy=45.739130 loss=2.367060 lr=0.033512 Epoch[132] Batch [1199]/[3760] Speed: 96.352057 samples/sec accuracy=45.785156 loss=2.365941 lr=0.033500 Epoch[132] Batch [1249]/[3760] Speed: 97.227197 samples/sec accuracy=45.805000 loss=2.367085 lr=0.033487 Epoch[132] Batch [1299]/[3760] Speed: 97.598379 samples/sec accuracy=45.762019 loss=2.367858 lr=0.033475 Epoch[132] Batch [1349]/[3760] Speed: 97.406231 samples/sec accuracy=45.731481 loss=2.367681 lr=0.033463 Epoch[132] Batch [1399]/[3760] Speed: 97.006355 samples/sec accuracy=45.736607 loss=2.366689 lr=0.033451 Epoch[132] Batch [1449]/[3760] Speed: 96.912891 samples/sec accuracy=45.701509 loss=2.367214 lr=0.033439 Epoch[132] Batch [1499]/[3760] Speed: 98.207080 samples/sec accuracy=45.718750 loss=2.367186 lr=0.033427 Epoch[132] Batch [1549]/[3760] Speed: 98.015907 samples/sec accuracy=45.695565 loss=2.368841 lr=0.033414 Epoch[132] Batch [1599]/[3760] Speed: 98.004622 samples/sec accuracy=45.747070 loss=2.367087 lr=0.033402 Epoch[132] Batch [1649]/[3760] Speed: 95.703958 samples/sec accuracy=45.757576 loss=2.367677 lr=0.033390 Epoch[132] Batch [1699]/[3760] Speed: 97.733767 samples/sec accuracy=45.743566 loss=2.367488 lr=0.033378 Epoch[132] Batch [1749]/[3760] Speed: 98.101160 samples/sec accuracy=45.750893 loss=2.367138 lr=0.033366 Epoch[132] Batch [1799]/[3760] Speed: 96.722513 samples/sec accuracy=45.742188 loss=2.368086 lr=0.033354 Epoch[132] Batch [1849]/[3760] Speed: 97.651140 samples/sec accuracy=45.750000 loss=2.367958 lr=0.033341 Epoch[132] Batch [1899]/[3760] Speed: 96.160265 samples/sec accuracy=45.777138 loss=2.366328 lr=0.033329 Epoch[132] Batch [1949]/[3760] Speed: 98.425545 samples/sec accuracy=45.779647 loss=2.366246 lr=0.033317 Epoch[132] Batch [1999]/[3760] Speed: 96.832222 samples/sec accuracy=45.766406 loss=2.365646 lr=0.033305 Epoch[132] Batch [2049]/[3760] Speed: 98.473496 samples/sec accuracy=45.740854 loss=2.366027 lr=0.033293 Epoch[132] Batch [2099]/[3760] Speed: 97.283271 samples/sec accuracy=45.758185 loss=2.365957 lr=0.033281 Epoch[132] Batch [2149]/[3760] Speed: 95.817200 samples/sec accuracy=45.754360 loss=2.367037 lr=0.033269 Epoch[132] Batch [2199]/[3760] Speed: 98.463320 samples/sec accuracy=45.718040 loss=2.367799 lr=0.033256 Epoch[132] Batch [2249]/[3760] Speed: 96.920747 samples/sec accuracy=45.726389 loss=2.366804 lr=0.033244 Epoch[132] Batch [2299]/[3760] Speed: 97.427170 samples/sec accuracy=45.704484 loss=2.366874 lr=0.033232 Epoch[132] Batch [2349]/[3760] Speed: 97.523150 samples/sec accuracy=45.680186 loss=2.368169 lr=0.033220 Epoch[132] Batch [2399]/[3760] Speed: 95.173040 samples/sec accuracy=45.673828 loss=2.369496 lr=0.033208 Epoch[132] Batch [2449]/[3760] Speed: 98.842679 samples/sec accuracy=45.649235 loss=2.369805 lr=0.033196 Epoch[132] Batch [2499]/[3760] Speed: 97.720744 samples/sec accuracy=45.667500 loss=2.369663 lr=0.033183 Epoch[132] Batch [2549]/[3760] Speed: 96.672353 samples/sec accuracy=45.655637 loss=2.369325 lr=0.033171 Epoch[132] Batch [2599]/[3760] Speed: 97.407751 samples/sec accuracy=45.634615 loss=2.370524 lr=0.033159 Epoch[132] Batch [2649]/[3760] Speed: 95.172752 samples/sec accuracy=45.629717 loss=2.370591 lr=0.033147 Epoch[132] Batch [2699]/[3760] Speed: 98.780852 samples/sec accuracy=45.635417 loss=2.369997 lr=0.033135 Epoch[132] Batch [2749]/[3760] Speed: 98.213705 samples/sec accuracy=45.618750 loss=2.371052 lr=0.033123 Epoch[132] Batch [2799]/[3760] Speed: 97.934249 samples/sec accuracy=45.604911 loss=2.371598 lr=0.033111 Epoch[132] Batch [2849]/[3760] Speed: 97.891022 samples/sec accuracy=45.604167 loss=2.370857 lr=0.033098 Epoch[132] Batch [2899]/[3760] Speed: 97.764409 samples/sec accuracy=45.615841 loss=2.371390 lr=0.033086 Epoch[132] Batch [2949]/[3760] Speed: 95.633666 samples/sec accuracy=45.630297 loss=2.370735 lr=0.033074 Epoch[132] Batch [2999]/[3760] Speed: 98.685908 samples/sec accuracy=45.622917 loss=2.370792 lr=0.033062 Epoch[132] Batch [3049]/[3760] Speed: 97.399816 samples/sec accuracy=45.604508 loss=2.371698 lr=0.033050 Epoch[132] Batch [3099]/[3760] Speed: 97.466668 samples/sec accuracy=45.581653 loss=2.371594 lr=0.033038 Epoch[132] Batch [3149]/[3760] Speed: 96.955098 samples/sec accuracy=45.587798 loss=2.371663 lr=0.033026 Epoch[132] Batch [3199]/[3760] Speed: 96.711109 samples/sec accuracy=45.583496 loss=2.372048 lr=0.033014 Epoch[132] Batch [3249]/[3760] Speed: 98.041360 samples/sec accuracy=45.590865 loss=2.372108 lr=0.033001 Epoch[132] Batch [3299]/[3760] Speed: 98.486567 samples/sec accuracy=45.562027 loss=2.373592 lr=0.032989 Epoch[132] Batch [3349]/[3760] Speed: 97.392992 samples/sec accuracy=45.534981 loss=2.374214 lr=0.032977 Epoch[132] Batch [3399]/[3760] Speed: 97.475153 samples/sec accuracy=45.522059 loss=2.375068 lr=0.032965 Epoch[132] Batch [3449]/[3760] Speed: 96.760104 samples/sec accuracy=45.521739 loss=2.374769 lr=0.032953 Epoch[132] Batch [3499]/[3760] Speed: 97.517029 samples/sec accuracy=45.529018 loss=2.374227 lr=0.032941 Epoch[132] Batch [3549]/[3760] Speed: 97.181807 samples/sec accuracy=45.537852 loss=2.373568 lr=0.032929 Epoch[132] Batch [3599]/[3760] Speed: 96.984158 samples/sec accuracy=45.518663 loss=2.374468 lr=0.032917 Epoch[132] Batch [3649]/[3760] Speed: 98.002712 samples/sec accuracy=45.515839 loss=2.374675 lr=0.032904 Epoch[132] Batch [3699]/[3760] Speed: 96.652869 samples/sec accuracy=45.488176 loss=2.375682 lr=0.032892 Epoch[132] Batch [3749]/[3760] Speed: 110.508866 samples/sec accuracy=45.479583 loss=2.375075 lr=0.032880 Batch [0049]/[0303]: acc-top1=44.031250 acc-top5=70.562500 Batch [0099]/[0303]: acc-top1=41.000000 acc-top5=68.062500 Batch [0149]/[0303]: acc-top1=43.250000 acc-top5=69.406250 Batch [0199]/[0303]: acc-top1=46.164062 acc-top5=71.156250 Batch [0249]/[0303]: acc-top1=45.637500 acc-top5=70.818750 Batch [0299]/[0303]: acc-top1=44.901042 acc-top5=70.682292 [Epoch 132] training: accuracy=45.480386 loss=2.375014 [Epoch 132] speed: 96 samples/sec time cost: 2677.713078 [Epoch 132] validation: acc-top1=44.910272 acc-top5=70.745668 loss=2.618552 Epoch[133] Batch [0049]/[3759] Speed: 67.310219 samples/sec accuracy=45.125000 loss=2.383529 lr=0.032866 Epoch[133] Batch [0099]/[3759] Speed: 93.292373 samples/sec accuracy=45.515625 loss=2.383794 lr=0.032854 Epoch[133] Batch [0149]/[3759] Speed: 96.958924 samples/sec accuracy=45.343750 loss=2.392509 lr=0.032841 Epoch[133] Batch [0199]/[3759] Speed: 94.708605 samples/sec accuracy=45.593750 loss=2.379824 lr=0.032829 Epoch[133] Batch [0249]/[3759] Speed: 98.123179 samples/sec accuracy=45.762500 loss=2.368469 lr=0.032817 Epoch[133] Batch [0299]/[3759] 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loss=2.361524 lr=0.032696 Epoch[133] Batch [0799]/[3759] Speed: 99.409043 samples/sec accuracy=45.833984 loss=2.362758 lr=0.032684 Epoch[133] Batch [0849]/[3759] Speed: 96.899834 samples/sec accuracy=45.700368 loss=2.366593 lr=0.032672 Epoch[133] Batch [0899]/[3759] Speed: 98.290216 samples/sec accuracy=45.684028 loss=2.366619 lr=0.032660 Epoch[133] Batch [0949]/[3759] Speed: 96.799117 samples/sec accuracy=45.629934 loss=2.370920 lr=0.032648 Epoch[133] Batch [0999]/[3759] Speed: 98.349963 samples/sec accuracy=45.679688 loss=2.370258 lr=0.032636 Epoch[133] Batch [1049]/[3759] Speed: 98.179150 samples/sec accuracy=45.694940 loss=2.370781 lr=0.032624 Epoch[133] Batch [1099]/[3759] Speed: 97.859249 samples/sec accuracy=45.723011 loss=2.370694 lr=0.032611 Epoch[133] Batch [1149]/[3759] Speed: 97.169019 samples/sec accuracy=45.726902 loss=2.368387 lr=0.032599 Epoch[133] Batch [1199]/[3759] Speed: 97.055691 samples/sec accuracy=45.753906 loss=2.367994 lr=0.032587 Epoch[133] Batch 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accuracy=45.670037 loss=2.367070 lr=0.032466 Epoch[133] Batch [1749]/[3759] Speed: 99.524215 samples/sec accuracy=45.667857 loss=2.368081 lr=0.032454 Epoch[133] Batch [1799]/[3759] Speed: 97.475526 samples/sec accuracy=45.657986 loss=2.368213 lr=0.032442 Epoch[133] Batch [1849]/[3759] Speed: 97.548671 samples/sec accuracy=45.638514 loss=2.368971 lr=0.032430 Epoch[133] Batch [1899]/[3759] Speed: 97.433842 samples/sec accuracy=45.614309 loss=2.369223 lr=0.032418 Epoch[133] Batch [1949]/[3759] Speed: 94.924055 samples/sec accuracy=45.615385 loss=2.369597 lr=0.032406 Epoch[133] Batch [1999]/[3759] Speed: 99.126200 samples/sec accuracy=45.613281 loss=2.370332 lr=0.032394 Epoch[133] Batch [2049]/[3759] Speed: 98.654908 samples/sec accuracy=45.605945 loss=2.372493 lr=0.032382 Epoch[133] Batch [2099]/[3759] Speed: 97.847764 samples/sec accuracy=45.614583 loss=2.371409 lr=0.032370 Epoch[133] Batch [2149]/[3759] Speed: 97.907022 samples/sec accuracy=45.597384 loss=2.372462 lr=0.032358 Epoch[133] 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accuracy=45.546580 loss=2.374160 lr=0.032237 Epoch[133] Batch [2699]/[3759] Speed: 98.816011 samples/sec accuracy=45.548611 loss=2.374537 lr=0.032225 Epoch[133] Batch [2749]/[3759] Speed: 96.289568 samples/sec accuracy=45.570455 loss=2.373636 lr=0.032213 Epoch[133] Batch [2799]/[3759] Speed: 98.046747 samples/sec accuracy=45.573661 loss=2.373537 lr=0.032201 Epoch[133] Batch [2849]/[3759] Speed: 98.457439 samples/sec accuracy=45.563596 loss=2.373564 lr=0.032189 Epoch[133] Batch [2899]/[3759] Speed: 97.430778 samples/sec accuracy=45.549569 loss=2.373287 lr=0.032177 Epoch[133] Batch [2949]/[3759] Speed: 98.173963 samples/sec accuracy=45.556674 loss=2.373142 lr=0.032165 Epoch[133] Batch [2999]/[3759] Speed: 96.353965 samples/sec accuracy=45.565104 loss=2.373817 lr=0.032153 Epoch[133] Batch [3049]/[3759] Speed: 98.306005 samples/sec accuracy=45.587090 loss=2.372887 lr=0.032141 Epoch[133] Batch [3099]/[3759] Speed: 97.306255 samples/sec accuracy=45.572077 loss=2.372639 lr=0.032129 Epoch[133] Batch [3149]/[3759] Speed: 98.430091 samples/sec accuracy=45.561508 loss=2.372454 lr=0.032117 Epoch[133] Batch [3199]/[3759] Speed: 97.441009 samples/sec accuracy=45.535156 loss=2.374339 lr=0.032105 Epoch[133] Batch [3249]/[3759] Speed: 97.074785 samples/sec accuracy=45.518269 loss=2.375040 lr=0.032093 Epoch[133] Batch [3299]/[3759] Speed: 97.633731 samples/sec accuracy=45.518466 loss=2.374336 lr=0.032081 Epoch[133] Batch [3349]/[3759] Speed: 98.293554 samples/sec accuracy=45.524254 loss=2.373880 lr=0.032068 Epoch[133] Batch [3399]/[3759] Speed: 98.157625 samples/sec accuracy=45.511029 loss=2.374693 lr=0.032056 Epoch[133] Batch [3449]/[3759] Speed: 98.024068 samples/sec accuracy=45.516304 loss=2.374648 lr=0.032044 Epoch[133] Batch [3499]/[3759] Speed: 97.031347 samples/sec accuracy=45.536161 loss=2.373710 lr=0.032032 Epoch[133] Batch [3549]/[3759] Speed: 98.003043 samples/sec accuracy=45.529049 loss=2.374234 lr=0.032020 Epoch[133] Batch [3599]/[3759] Speed: 97.907936 samples/sec accuracy=45.520399 loss=2.374303 lr=0.032008 Epoch[133] Batch [3649]/[3759] Speed: 98.327306 samples/sec accuracy=45.521404 loss=2.374644 lr=0.031996 Epoch[133] Batch [3699]/[3759] Speed: 98.057450 samples/sec accuracy=45.536318 loss=2.373795 lr=0.031984 Epoch[133] Batch [3749]/[3759] Speed: 109.033637 samples/sec accuracy=45.532500 loss=2.374146 lr=0.031972 Batch [0049]/[0303]: acc-top1=46.312500 acc-top5=71.406250 Batch [0099]/[0303]: acc-top1=43.796875 acc-top5=69.750000 Batch [0149]/[0303]: acc-top1=45.020833 acc-top5=70.437500 Batch [0199]/[0303]: acc-top1=47.507812 acc-top5=72.523438 Batch [0249]/[0303]: acc-top1=46.818750 acc-top5=72.112500 Batch [0299]/[0303]: acc-top1=46.109375 acc-top5=72.026042 [Epoch 133] training: accuracy=45.534467 loss=2.374035 [Epoch 133] speed: 97 samples/sec time cost: 2668.629862 [Epoch 133] validation: acc-top1=46.080858 acc-top5=71.988449 loss=2.469859 Epoch[134] Batch [0049]/[3760] Speed: 67.595749 samples/sec accuracy=45.656250 loss=2.373177 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97.599667 samples/sec accuracy=46.028033 loss=2.348702 lr=0.031155 Epoch[134] Batch [3449]/[3760] Speed: 97.224985 samples/sec accuracy=45.996377 loss=2.349262 lr=0.031143 Epoch[134] Batch [3499]/[3760] Speed: 97.218603 samples/sec accuracy=45.991518 loss=2.349168 lr=0.031131 Epoch[134] Batch [3549]/[3760] Speed: 97.962871 samples/sec accuracy=45.977553 loss=2.349917 lr=0.031119 Epoch[134] Batch [3599]/[3760] Speed: 95.836153 samples/sec accuracy=45.974392 loss=2.350285 lr=0.031107 Epoch[134] Batch [3649]/[3760] Speed: 98.075274 samples/sec accuracy=45.974743 loss=2.350146 lr=0.031095 Epoch[134] Batch [3699]/[3760] Speed: 97.091615 samples/sec accuracy=45.966639 loss=2.350221 lr=0.031083 Epoch[134] Batch [3749]/[3760] Speed: 108.901897 samples/sec accuracy=45.985833 loss=2.349645 lr=0.031071 Batch [0049]/[0303]: acc-top1=45.625000 acc-top5=71.437500 Batch [0099]/[0303]: acc-top1=42.781250 acc-top5=69.359375 Batch [0149]/[0303]: acc-top1=44.312500 acc-top5=70.062500 Batch [0199]/[0303]: acc-top1=47.070312 acc-top5=72.140625 Batch [0249]/[0303]: acc-top1=46.618750 acc-top5=72.256250 Batch [0299]/[0303]: acc-top1=45.916667 acc-top5=72.010417 [Epoch 134] training: accuracy=45.982380 loss=2.349590 [Epoch 134] speed: 96 samples/sec time cost: 2675.554528 [Epoch 134] validation: acc-top1=45.884901 acc-top5=71.931724 loss=2.529764 Epoch[135] Batch [0049]/[3760] Speed: 67.989412 samples/sec accuracy=47.281250 loss=2.305902 lr=0.031057 Epoch[135] Batch [0099]/[3760] Speed: 92.832681 samples/sec accuracy=47.046875 loss=2.280701 lr=0.031045 Epoch[135] Batch [0149]/[3760] Speed: 97.796797 samples/sec accuracy=46.885417 loss=2.298950 lr=0.031033 Epoch[135] Batch [0199]/[3760] Speed: 95.372852 samples/sec accuracy=46.695312 loss=2.306976 lr=0.031021 Epoch[135] Batch [0249]/[3760] Speed: 97.736483 samples/sec accuracy=46.525000 loss=2.312734 lr=0.031009 Epoch[135] Batch [0299]/[3760] Speed: 95.882550 samples/sec accuracy=46.416667 loss=2.324090 lr=0.030997 Epoch[135] Batch 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accuracy=46.342894 loss=2.331983 lr=0.030201 Epoch[135] Batch [3699]/[3760] Speed: 97.033466 samples/sec accuracy=46.310389 loss=2.333501 lr=0.030189 Epoch[135] Batch [3749]/[3760] Speed: 108.426148 samples/sec accuracy=46.302500 loss=2.334378 lr=0.030177 Batch [0049]/[0303]: acc-top1=44.906250 acc-top5=69.968750 Batch [0099]/[0303]: acc-top1=41.375000 acc-top5=68.250000 Batch [0149]/[0303]: acc-top1=43.229167 acc-top5=69.416667 Batch [0199]/[0303]: acc-top1=46.515625 acc-top5=71.460938 Batch [0249]/[0303]: acc-top1=45.518750 acc-top5=71.050000 Batch [0299]/[0303]: acc-top1=45.088542 acc-top5=71.093750 [Epoch 135] training: accuracy=46.296127 loss=2.334557 [Epoch 135] speed: 96 samples/sec time cost: 2679.889091 [Epoch 135] validation: acc-top1=45.085602 acc-top5=71.101485 loss=2.536965 Epoch[136] Batch [0049]/[3759] Speed: 67.076143 samples/sec accuracy=47.312500 loss=2.290431 lr=0.030163 Epoch[136] Batch [0099]/[3759] Speed: 94.603245 samples/sec accuracy=47.734375 loss=2.269014 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lr=0.029479 Epoch[136] Batch [2999]/[3759] Speed: 98.530646 samples/sec accuracy=46.843750 loss=2.310763 lr=0.029467 Epoch[136] Batch [3049]/[3759] Speed: 97.506109 samples/sec accuracy=46.840164 loss=2.310613 lr=0.029455 Epoch[136] Batch [3099]/[3759] Speed: 98.707090 samples/sec accuracy=46.848286 loss=2.309745 lr=0.029443 Epoch[136] Batch [3149]/[3759] Speed: 96.689763 samples/sec accuracy=46.825893 loss=2.311172 lr=0.029431 Epoch[136] Batch [3199]/[3759] Speed: 96.366982 samples/sec accuracy=46.818848 loss=2.311033 lr=0.029420 Epoch[136] Batch [3249]/[3759] Speed: 98.749335 samples/sec accuracy=46.804327 loss=2.311585 lr=0.029408 Epoch[136] Batch [3299]/[3759] Speed: 98.562374 samples/sec accuracy=46.799716 loss=2.312137 lr=0.029396 Epoch[136] Batch [3349]/[3759] Speed: 97.286201 samples/sec accuracy=46.808302 loss=2.312140 lr=0.029384 Epoch[136] Batch [3399]/[3759] Speed: 97.282228 samples/sec accuracy=46.787224 loss=2.312929 lr=0.029373 Epoch[136] Batch [3449]/[3759] Speed: 97.675492 samples/sec accuracy=46.762228 loss=2.314527 lr=0.029361 Epoch[136] Batch [3499]/[3759] Speed: 97.685972 samples/sec accuracy=46.745536 loss=2.314806 lr=0.029349 Epoch[136] Batch [3549]/[3759] Speed: 96.479744 samples/sec accuracy=46.750000 loss=2.314743 lr=0.029337 Epoch[136] Batch [3599]/[3759] Speed: 97.221686 samples/sec accuracy=46.743490 loss=2.315479 lr=0.029326 Epoch[136] Batch [3649]/[3759] Speed: 97.441363 samples/sec accuracy=46.735017 loss=2.315746 lr=0.029314 Epoch[136] Batch [3699]/[3759] Speed: 97.278931 samples/sec accuracy=46.723818 loss=2.316108 lr=0.029302 Epoch[136] Batch [3749]/[3759] Speed: 111.883827 samples/sec accuracy=46.707500 loss=2.316579 lr=0.029291 Batch [0049]/[0303]: acc-top1=48.250000 acc-top5=73.062500 Batch [0099]/[0303]: acc-top1=45.109375 acc-top5=71.046875 Batch [0149]/[0303]: acc-top1=46.625000 acc-top5=72.145833 Batch [0199]/[0303]: acc-top1=49.476562 acc-top5=73.984375 Batch [0249]/[0303]: acc-top1=48.562500 acc-top5=73.312500 Batch [0299]/[0303]: acc-top1=47.682292 acc-top5=73.208333 [Epoch 136] training: accuracy=46.709979 loss=2.316642 [Epoch 136] speed: 96 samples/sec time cost: 2675.171395 [Epoch 136] validation: acc-top1=47.663985 acc-top5=73.220916 loss=2.436873 Epoch[137] Batch [0049]/[3760] Speed: 66.449655 samples/sec accuracy=46.218750 loss=2.310768 lr=0.029277 Epoch[137] Batch [0099]/[3760] Speed: 92.726680 samples/sec accuracy=46.234375 loss=2.301096 lr=0.029265 Epoch[137] Batch [0149]/[3760] Speed: 97.639259 samples/sec accuracy=46.437500 loss=2.297333 lr=0.029253 Epoch[137] Batch [0199]/[3760] Speed: 96.250141 samples/sec accuracy=46.765625 loss=2.288951 lr=0.029241 Epoch[137] Batch [0249]/[3760] Speed: 99.265000 samples/sec accuracy=47.031250 loss=2.282819 lr=0.029230 Epoch[137] Batch [0299]/[3760] Speed: 96.181474 samples/sec accuracy=46.901042 loss=2.293875 lr=0.029218 Epoch[137] Batch [0349]/[3760] Speed: 97.061391 samples/sec accuracy=46.973214 loss=2.291620 lr=0.029206 Epoch[137] Batch 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accuracy=46.801520 loss=2.306023 lr=0.028424 Epoch[137] Batch [3749]/[3760] Speed: 107.075267 samples/sec accuracy=46.810417 loss=2.306092 lr=0.028412 Batch [0049]/[0303]: acc-top1=49.062500 acc-top5=73.750000 Batch [0099]/[0303]: acc-top1=45.656250 acc-top5=71.796875 Batch [0149]/[0303]: acc-top1=46.875000 acc-top5=72.489583 Batch [0199]/[0303]: acc-top1=49.718750 acc-top5=74.421875 Batch [0249]/[0303]: acc-top1=49.012500 acc-top5=74.118750 Batch [0299]/[0303]: acc-top1=48.395833 acc-top5=73.890625 [Epoch 137] training: accuracy=46.814328 loss=2.305924 [Epoch 137] speed: 96 samples/sec time cost: 2679.828442 [Epoch 137] validation: acc-top1=48.442657 acc-top5=73.917079 loss=2.345686 Epoch[138] Batch [0049]/[3760] Speed: 67.415737 samples/sec accuracy=47.093750 loss=2.263990 lr=0.028398 Epoch[138] Batch [0099]/[3760] Speed: 94.103126 samples/sec accuracy=47.843750 loss=2.232308 lr=0.028386 Epoch[138] Batch [0149]/[3760] Speed: 97.944055 samples/sec accuracy=47.093750 loss=2.265055 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lr=0.027934 Epoch[138] Batch [2099]/[3760] Speed: 96.602819 samples/sec accuracy=47.191220 loss=2.285909 lr=0.027922 Epoch[138] Batch [2149]/[3760] Speed: 97.751935 samples/sec accuracy=47.221657 loss=2.285926 lr=0.027911 Epoch[138] Batch [2199]/[3760] Speed: 96.769407 samples/sec accuracy=47.178977 loss=2.286948 lr=0.027899 Epoch[138] Batch [2249]/[3760] Speed: 97.094581 samples/sec accuracy=47.170139 loss=2.286847 lr=0.027888 Epoch[138] Batch [2299]/[3760] Speed: 98.052423 samples/sec accuracy=47.131793 loss=2.288567 lr=0.027876 Epoch[138] Batch [2349]/[3760] Speed: 96.032031 samples/sec accuracy=47.144282 loss=2.287732 lr=0.027864 Epoch[138] Batch [2399]/[3760] Speed: 97.412075 samples/sec accuracy=47.139974 loss=2.287635 lr=0.027853 Epoch[138] Batch [2449]/[3760] Speed: 97.365756 samples/sec accuracy=47.137755 loss=2.288546 lr=0.027841 Epoch[138] Batch [2499]/[3760] Speed: 97.445062 samples/sec accuracy=47.108125 loss=2.290193 lr=0.027830 Epoch[138] Batch [2549]/[3760] Speed: 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lr=0.027714 Epoch[138] Batch [3049]/[3760] Speed: 96.868856 samples/sec accuracy=47.174180 loss=2.289722 lr=0.027703 Epoch[138] Batch [3099]/[3760] Speed: 97.106022 samples/sec accuracy=47.161794 loss=2.290537 lr=0.027691 Epoch[138] Batch [3149]/[3760] Speed: 95.638745 samples/sec accuracy=47.159226 loss=2.291008 lr=0.027680 Epoch[138] Batch [3199]/[3760] Speed: 97.090684 samples/sec accuracy=47.162109 loss=2.290997 lr=0.027668 Epoch[138] Batch [3249]/[3760] Speed: 97.613279 samples/sec accuracy=47.177885 loss=2.290452 lr=0.027657 Epoch[138] Batch [3299]/[3760] Speed: 98.034112 samples/sec accuracy=47.177557 loss=2.290795 lr=0.027645 Epoch[138] Batch [3349]/[3760] Speed: 97.544513 samples/sec accuracy=47.176306 loss=2.290670 lr=0.027633 Epoch[138] Batch [3399]/[3760] Speed: 96.201131 samples/sec accuracy=47.161765 loss=2.290796 lr=0.027622 Epoch[138] Batch [3449]/[3760] Speed: 97.181802 samples/sec accuracy=47.157156 loss=2.290470 lr=0.027610 Epoch[138] Batch [3499]/[3760] Speed: 97.108702 samples/sec accuracy=47.150893 loss=2.290252 lr=0.027599 Epoch[138] Batch [3549]/[3760] Speed: 96.861959 samples/sec accuracy=47.147887 loss=2.289851 lr=0.027587 Epoch[138] Batch [3599]/[3760] Speed: 98.074294 samples/sec accuracy=47.142795 loss=2.290063 lr=0.027576 Epoch[138] Batch [3649]/[3760] Speed: 93.667840 samples/sec accuracy=47.135702 loss=2.290783 lr=0.027564 Epoch[138] Batch [3699]/[3760] Speed: 98.731614 samples/sec accuracy=47.123311 loss=2.291157 lr=0.027553 Epoch[138] Batch [3749]/[3760] Speed: 111.531822 samples/sec accuracy=47.127083 loss=2.290929 lr=0.027541 Batch [0049]/[0303]: acc-top1=48.687500 acc-top5=73.437500 Batch [0099]/[0303]: acc-top1=44.515625 acc-top5=70.328125 Batch [0149]/[0303]: acc-top1=46.677083 acc-top5=71.645833 Batch [0199]/[0303]: acc-top1=49.578125 acc-top5=73.445312 Batch [0249]/[0303]: acc-top1=48.825000 acc-top5=73.318750 Batch [0299]/[0303]: acc-top1=48.213542 acc-top5=73.218750 [Epoch 138] training: accuracy=47.128491 loss=2.290943 [Epoch 138] speed: 96 samples/sec time cost: 2681.486489 [Epoch 138] validation: acc-top1=48.210602 acc-top5=73.226073 loss=2.412357 Epoch[139] Batch [0049]/[3759] Speed: 66.446622 samples/sec accuracy=48.312500 loss=2.245989 lr=0.027527 Epoch[139] Batch [0099]/[3759] Speed: 93.589947 samples/sec accuracy=48.734375 loss=2.237750 lr=0.027516 Epoch[139] Batch [0149]/[3759] Speed: 94.973647 samples/sec accuracy=48.510417 loss=2.236738 lr=0.027504 Epoch[139] Batch [0199]/[3759] Speed: 97.314739 samples/sec accuracy=48.492188 loss=2.231486 lr=0.027493 Epoch[139] Batch [0249]/[3759] Speed: 98.222431 samples/sec accuracy=48.281250 loss=2.229660 lr=0.027481 Epoch[139] Batch [0299]/[3759] Speed: 96.286934 samples/sec accuracy=48.161458 loss=2.243999 lr=0.027470 Epoch[139] Batch [0349]/[3759] Speed: 96.915477 samples/sec accuracy=48.160714 loss=2.239694 lr=0.027458 Epoch[139] Batch [0399]/[3759] Speed: 97.097554 samples/sec accuracy=48.144531 loss=2.237773 lr=0.027447 Epoch[139] 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accuracy=47.531250 loss=2.272031 lr=0.026679 Batch [0049]/[0303]: acc-top1=49.375000 acc-top5=72.937500 Batch [0099]/[0303]: acc-top1=45.312500 acc-top5=70.906250 Batch [0149]/[0303]: acc-top1=46.687500 acc-top5=71.447917 Batch [0199]/[0303]: acc-top1=49.335938 acc-top5=73.203125 Batch [0249]/[0303]: acc-top1=48.568750 acc-top5=73.218750 Batch [0299]/[0303]: acc-top1=48.140625 acc-top5=73.192708 [Epoch 139] training: accuracy=47.530926 loss=2.272083 [Epoch 139] speed: 96 samples/sec time cost: 2676.739407 [Epoch 139] validation: acc-top1=48.128094 acc-top5=73.159035 loss=2.391388 Epoch[140] Batch [0049]/[3760] Speed: 66.250874 samples/sec accuracy=49.062500 loss=2.171230 lr=0.026666 Epoch[140] Batch [0099]/[3760] Speed: 90.786413 samples/sec accuracy=48.781250 loss=2.200596 lr=0.026654 Epoch[140] Batch [0149]/[3760] Speed: 99.355551 samples/sec accuracy=48.833333 loss=2.205011 lr=0.026643 Epoch[140] Batch [0199]/[3760] Speed: 95.401916 samples/sec accuracy=49.023438 loss=2.198336 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lr=0.026199 Epoch[140] Batch [2149]/[3760] Speed: 97.817699 samples/sec accuracy=47.968023 loss=2.252549 lr=0.026188 Epoch[140] Batch [2199]/[3760] Speed: 97.247550 samples/sec accuracy=47.934659 loss=2.254639 lr=0.026176 Epoch[140] Batch [2249]/[3760] Speed: 95.209665 samples/sec accuracy=47.938889 loss=2.253820 lr=0.026165 Epoch[140] Batch [2299]/[3760] Speed: 98.287118 samples/sec accuracy=47.963995 loss=2.253688 lr=0.026154 Epoch[140] Batch [2349]/[3760] Speed: 96.828772 samples/sec accuracy=47.954787 loss=2.252693 lr=0.026142 Epoch[140] Batch [2399]/[3760] Speed: 97.247131 samples/sec accuracy=47.956380 loss=2.252703 lr=0.026131 Epoch[140] Batch [2449]/[3760] Speed: 98.092497 samples/sec accuracy=47.926020 loss=2.253955 lr=0.026120 Epoch[140] Batch [2499]/[3760] Speed: 98.031382 samples/sec accuracy=47.921250 loss=2.254463 lr=0.026108 Epoch[140] Batch [2549]/[3760] Speed: 96.526818 samples/sec accuracy=47.941176 loss=2.253339 lr=0.026097 Epoch[140] Batch [2599]/[3760] Speed: 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lr=0.025984 Epoch[140] Batch [3099]/[3760] Speed: 99.405744 samples/sec accuracy=47.880040 loss=2.258137 lr=0.025973 Epoch[140] Batch [3149]/[3760] Speed: 96.687880 samples/sec accuracy=47.861111 loss=2.258619 lr=0.025961 Epoch[140] Batch [3199]/[3760] Speed: 97.629307 samples/sec accuracy=47.865234 loss=2.258889 lr=0.025950 Epoch[140] Batch [3249]/[3760] Speed: 96.920869 samples/sec accuracy=47.846635 loss=2.259526 lr=0.025939 Epoch[140] Batch [3299]/[3760] Speed: 97.633566 samples/sec accuracy=47.828125 loss=2.260672 lr=0.025927 Epoch[140] Batch [3349]/[3760] Speed: 95.844166 samples/sec accuracy=47.844216 loss=2.260430 lr=0.025916 Epoch[140] Batch [3399]/[3760] Speed: 97.905281 samples/sec accuracy=47.853860 loss=2.260667 lr=0.025905 Epoch[140] Batch [3449]/[3760] Speed: 98.057036 samples/sec accuracy=47.836957 loss=2.261454 lr=0.025893 Epoch[140] Batch [3499]/[3760] Speed: 97.112655 samples/sec accuracy=47.828125 loss=2.262165 lr=0.025882 Epoch[140] Batch [3549]/[3760] Speed: 97.127285 samples/sec accuracy=47.832746 loss=2.261771 lr=0.025871 Epoch[140] Batch [3599]/[3760] Speed: 96.722925 samples/sec accuracy=47.838542 loss=2.261990 lr=0.025860 Epoch[140] Batch [3649]/[3760] Speed: 97.763860 samples/sec accuracy=47.843750 loss=2.261829 lr=0.025848 Epoch[140] Batch [3699]/[3760] Speed: 97.349883 samples/sec accuracy=47.863176 loss=2.260799 lr=0.025837 Epoch[140] Batch [3749]/[3760] Speed: 109.816766 samples/sec accuracy=47.878333 loss=2.260917 lr=0.025826 Batch [0049]/[0303]: acc-top1=48.531250 acc-top5=73.906250 Batch [0099]/[0303]: acc-top1=44.375000 acc-top5=70.562500 Batch [0149]/[0303]: acc-top1=46.354167 acc-top5=71.510417 Batch [0199]/[0303]: acc-top1=49.000000 acc-top5=73.632812 Batch [0249]/[0303]: acc-top1=48.418750 acc-top5=73.462500 Batch [0299]/[0303]: acc-top1=47.781250 acc-top5=73.328125 [Epoch 140] training: accuracy=47.877743 loss=2.260814 [Epoch 140] speed: 96 samples/sec time cost: 2679.615075 [Epoch 140] validation: acc-top1=47.782591 acc-top5=73.354992 loss=2.424196 Epoch[141] Batch [0049]/[3760] Speed: 67.470629 samples/sec accuracy=49.875000 loss=2.231490 lr=0.025812 Epoch[141] Batch [0099]/[3760] Speed: 91.000535 samples/sec accuracy=48.468750 loss=2.238180 lr=0.025801 Epoch[141] Batch [0149]/[3760] Speed: 99.403318 samples/sec accuracy=47.906250 loss=2.254336 lr=0.025790 Epoch[141] Batch [0199]/[3760] Speed: 95.407613 samples/sec accuracy=48.015625 loss=2.250152 lr=0.025778 Epoch[141] Batch [0249]/[3760] Speed: 98.570617 samples/sec accuracy=48.231250 loss=2.241097 lr=0.025767 Epoch[141] Batch [0299]/[3760] Speed: 95.995307 samples/sec accuracy=48.312500 loss=2.236531 lr=0.025756 Epoch[141] Batch [0349]/[3760] Speed: 98.373962 samples/sec accuracy=48.299107 loss=2.239266 lr=0.025744 Epoch[141] Batch [0399]/[3760] Speed: 95.765438 samples/sec accuracy=48.140625 loss=2.248987 lr=0.025733 Epoch[141] Batch [0449]/[3760] Speed: 98.051044 samples/sec accuracy=48.204861 loss=2.246838 lr=0.025722 Epoch[141] Batch 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accuracy=48.361842 loss=2.232209 lr=0.025609 Epoch[141] Batch [0999]/[3760] Speed: 97.494517 samples/sec accuracy=48.337500 loss=2.235325 lr=0.025598 Epoch[141] Batch [1049]/[3760] Speed: 98.146480 samples/sec accuracy=48.333333 loss=2.233978 lr=0.025587 Epoch[141] Batch [1099]/[3760] Speed: 97.396521 samples/sec accuracy=48.296875 loss=2.236046 lr=0.025575 Epoch[141] Batch [1149]/[3760] Speed: 96.950091 samples/sec accuracy=48.296196 loss=2.237562 lr=0.025564 Epoch[141] Batch [1199]/[3760] Speed: 96.265551 samples/sec accuracy=48.252604 loss=2.238633 lr=0.025553 Epoch[141] Batch [1249]/[3760] Speed: 97.341518 samples/sec accuracy=48.232500 loss=2.239269 lr=0.025542 Epoch[141] Batch [1299]/[3760] Speed: 96.845580 samples/sec accuracy=48.283654 loss=2.237248 lr=0.025530 Epoch[141] Batch [1349]/[3760] Speed: 97.894163 samples/sec accuracy=48.321759 loss=2.236656 lr=0.025519 Epoch[141] Batch [1399]/[3760] Speed: 98.396211 samples/sec accuracy=48.325893 loss=2.234956 lr=0.025508 Epoch[141] 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accuracy=48.195724 loss=2.237241 lr=0.025396 Epoch[141] Batch [1949]/[3760] Speed: 98.080401 samples/sec accuracy=48.165064 loss=2.238701 lr=0.025384 Epoch[141] Batch [1999]/[3760] Speed: 95.796309 samples/sec accuracy=48.175781 loss=2.237323 lr=0.025373 Epoch[141] Batch [2049]/[3760] Speed: 98.077231 samples/sec accuracy=48.169207 loss=2.237276 lr=0.025362 Epoch[141] Batch [2099]/[3760] Speed: 97.251351 samples/sec accuracy=48.183036 loss=2.237792 lr=0.025351 Epoch[141] Batch [2149]/[3760] Speed: 98.150466 samples/sec accuracy=48.168605 loss=2.238523 lr=0.025339 Epoch[141] Batch [2199]/[3760] Speed: 97.589296 samples/sec accuracy=48.137074 loss=2.240260 lr=0.025328 Epoch[141] Batch [2249]/[3760] Speed: 98.182610 samples/sec accuracy=48.110417 loss=2.241740 lr=0.025317 Epoch[141] Batch [2299]/[3760] Speed: 96.138504 samples/sec accuracy=48.112772 loss=2.241455 lr=0.025306 Epoch[141] Batch [2349]/[3760] Speed: 96.900767 samples/sec accuracy=48.097074 loss=2.243017 lr=0.025295 Epoch[141] 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[0099]/[0303]: acc-top1=46.125000 acc-top5=71.687500 Batch [0149]/[0303]: acc-top1=47.833333 acc-top5=72.177083 Batch [0199]/[0303]: acc-top1=50.671875 acc-top5=74.335938 Batch [0249]/[0303]: acc-top1=49.756250 acc-top5=74.206250 Batch [0299]/[0303]: acc-top1=49.046875 acc-top5=74.062500 [Epoch 141] training: accuracy=47.960023 loss=2.245967 [Epoch 141] speed: 96 samples/sec time cost: 2676.268790 [Epoch 141] validation: acc-top1=48.999587 acc-top5=74.009901 loss=2.343007 Epoch[142] Batch [0049]/[3759] Speed: 68.485108 samples/sec accuracy=48.156250 loss=2.257465 lr=0.024968 Epoch[142] Batch [0099]/[3759] Speed: 92.748799 samples/sec accuracy=48.609375 loss=2.249858 lr=0.024957 Epoch[142] Batch [0149]/[3759] Speed: 99.049171 samples/sec accuracy=48.822917 loss=2.230916 lr=0.024946 Epoch[142] Batch [0199]/[3759] Speed: 95.143757 samples/sec accuracy=48.445312 loss=2.225042 lr=0.024934 Epoch[142] Batch [0249]/[3759] Speed: 98.752378 samples/sec accuracy=48.675000 loss=2.214958 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lr=0.024290 Epoch[142] Batch [3149]/[3759] Speed: 97.729827 samples/sec accuracy=48.265377 loss=2.230527 lr=0.024279 Epoch[142] Batch [3199]/[3759] Speed: 97.462454 samples/sec accuracy=48.246582 loss=2.230666 lr=0.024268 Epoch[142] Batch [3249]/[3759] Speed: 97.444943 samples/sec accuracy=48.235096 loss=2.230711 lr=0.024257 Epoch[142] Batch [3299]/[3759] Speed: 97.969493 samples/sec accuracy=48.219223 loss=2.231449 lr=0.024246 Epoch[142] Batch [3349]/[3759] Speed: 97.526602 samples/sec accuracy=48.217351 loss=2.231456 lr=0.024235 Epoch[142] Batch [3399]/[3759] Speed: 96.488138 samples/sec accuracy=48.227941 loss=2.230964 lr=0.024224 Epoch[142] Batch [3449]/[3759] Speed: 97.340294 samples/sec accuracy=48.211957 loss=2.231623 lr=0.024213 Epoch[142] Batch [3499]/[3759] Speed: 96.444406 samples/sec accuracy=48.209821 loss=2.231969 lr=0.024202 Epoch[142] Batch [3549]/[3759] Speed: 98.191770 samples/sec accuracy=48.210387 loss=2.232686 lr=0.024191 Epoch[142] Batch [3599]/[3759] Speed: 97.015127 samples/sec accuracy=48.222656 loss=2.232370 lr=0.024179 Epoch[142] Batch [3649]/[3759] Speed: 96.651156 samples/sec accuracy=48.228168 loss=2.232544 lr=0.024168 Epoch[142] Batch [3699]/[3759] Speed: 97.783214 samples/sec accuracy=48.222128 loss=2.232797 lr=0.024157 Epoch[142] Batch [3749]/[3759] Speed: 110.419317 samples/sec accuracy=48.235417 loss=2.232464 lr=0.024146 Batch [0049]/[0303]: acc-top1=47.812500 acc-top5=72.718750 Batch [0099]/[0303]: acc-top1=45.515625 acc-top5=71.906250 Batch [0149]/[0303]: acc-top1=47.250000 acc-top5=73.156250 Batch [0199]/[0303]: acc-top1=49.648438 acc-top5=74.492188 Batch [0249]/[0303]: acc-top1=49.268750 acc-top5=74.500000 Batch [0299]/[0303]: acc-top1=48.947917 acc-top5=74.567708 [Epoch 142] training: accuracy=48.234238 loss=2.232603 [Epoch 142] speed: 96 samples/sec time cost: 2672.434904 [Epoch 142] validation: acc-top1=48.937706 acc-top5=74.582302 loss=2.373782 Epoch[143] Batch [0049]/[3760] Speed: 67.593870 samples/sec accuracy=51.000000 loss=2.124749 lr=0.024133 Epoch[143] Batch [0099]/[3760] Speed: 94.931166 samples/sec accuracy=50.015625 loss=2.152027 lr=0.024122 Epoch[143] Batch [0149]/[3760] Speed: 96.413932 samples/sec accuracy=49.520833 loss=2.171696 lr=0.024111 Epoch[143] Batch [0199]/[3760] Speed: 96.643765 samples/sec accuracy=49.742188 loss=2.165536 lr=0.024100 Epoch[143] Batch [0249]/[3760] Speed: 98.267020 samples/sec accuracy=49.918750 loss=2.156823 lr=0.024089 Epoch[143] Batch [0299]/[3760] Speed: 95.613919 samples/sec accuracy=49.505208 loss=2.172621 lr=0.024078 Epoch[143] Batch [0349]/[3760] Speed: 96.817093 samples/sec accuracy=49.468750 loss=2.174277 lr=0.024067 Epoch[143] Batch [0399]/[3760] Speed: 97.903471 samples/sec accuracy=49.324219 loss=2.172579 lr=0.024056 Epoch[143] Batch [0449]/[3760] Speed: 95.248978 samples/sec accuracy=49.274306 loss=2.172717 lr=0.024045 Epoch[143] Batch [0499]/[3760] Speed: 98.461749 samples/sec accuracy=49.100000 loss=2.179882 lr=0.024034 Epoch[143] 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Batch [3399]/[3760] Speed: 97.684882 samples/sec accuracy=48.723805 loss=2.209966 lr=0.023398 Epoch[143] Batch [3449]/[3760] Speed: 95.376770 samples/sec accuracy=48.721467 loss=2.210523 lr=0.023387 Epoch[143] Batch [3499]/[3760] Speed: 97.943875 samples/sec accuracy=48.697768 loss=2.211222 lr=0.023376 Epoch[143] Batch [3549]/[3760] Speed: 97.261648 samples/sec accuracy=48.699384 loss=2.211646 lr=0.023365 Epoch[143] Batch [3599]/[3760] Speed: 97.689563 samples/sec accuracy=48.706597 loss=2.211360 lr=0.023354 Epoch[143] Batch [3649]/[3760] Speed: 97.743552 samples/sec accuracy=48.680223 loss=2.211975 lr=0.023343 Epoch[143] Batch [3699]/[3760] Speed: 94.441472 samples/sec accuracy=48.667652 loss=2.212389 lr=0.023332 Epoch[143] Batch [3749]/[3760] Speed: 112.816012 samples/sec accuracy=48.658333 loss=2.212709 lr=0.023321 Batch [0049]/[0303]: acc-top1=49.968750 acc-top5=74.093750 Batch [0099]/[0303]: acc-top1=45.906250 acc-top5=72.265625 Batch [0149]/[0303]: acc-top1=47.135417 acc-top5=72.510417 Batch [0199]/[0303]: acc-top1=50.148438 acc-top5=74.273438 Batch [0249]/[0303]: acc-top1=49.675000 acc-top5=74.243750 Batch [0299]/[0303]: acc-top1=49.098958 acc-top5=74.328125 [Epoch 143] training: accuracy=48.655668 loss=2.212968 [Epoch 143] speed: 96 samples/sec time cost: 2678.302469 [Epoch 143] validation: acc-top1=49.045998 acc-top5=74.350248 loss=2.349835 Epoch[144] Batch [0049]/[3760] Speed: 67.447837 samples/sec accuracy=48.656250 loss=2.202889 lr=0.023308 Epoch[144] Batch [0099]/[3760] Speed: 94.483709 samples/sec accuracy=49.140625 loss=2.167382 lr=0.023297 Epoch[144] Batch [0149]/[3760] Speed: 97.522210 samples/sec accuracy=49.791667 loss=2.140189 lr=0.023286 Epoch[144] Batch [0199]/[3760] Speed: 94.918356 samples/sec accuracy=49.804688 loss=2.136353 lr=0.023276 Epoch[144] Batch [0249]/[3760] Speed: 98.385678 samples/sec accuracy=49.618750 loss=2.148389 lr=0.023265 Epoch[144] Batch [0299]/[3760] Speed: 96.797159 samples/sec accuracy=49.677083 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accuracy=49.266250 loss=2.183851 lr=0.023047 Epoch[144] Batch [1299]/[3760] Speed: 96.373351 samples/sec accuracy=49.241587 loss=2.183742 lr=0.023036 Epoch[144] Batch [1349]/[3760] Speed: 97.675250 samples/sec accuracy=49.214120 loss=2.183912 lr=0.023025 Epoch[144] Batch [1399]/[3760] Speed: 97.206534 samples/sec accuracy=49.229911 loss=2.185311 lr=0.023014 Epoch[144] Batch [1449]/[3760] Speed: 97.651219 samples/sec accuracy=49.212284 loss=2.184934 lr=0.023004 Epoch[144] Batch [1499]/[3760] Speed: 98.118787 samples/sec accuracy=49.214583 loss=2.185094 lr=0.022993 Epoch[144] Batch [1549]/[3760] Speed: 94.217843 samples/sec accuracy=49.171371 loss=2.188017 lr=0.022982 Epoch[144] Batch [1599]/[3760] Speed: 99.969755 samples/sec accuracy=49.191406 loss=2.187051 lr=0.022971 Epoch[144] Batch [1649]/[3760] Speed: 97.276622 samples/sec accuracy=49.186553 loss=2.187452 lr=0.022960 Epoch[144] Batch [1699]/[3760] Speed: 97.780093 samples/sec accuracy=49.210478 loss=2.186953 lr=0.022949 Epoch[144] 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accuracy=49.243608 loss=2.188891 lr=0.022841 Epoch[144] Batch [2249]/[3760] Speed: 97.173981 samples/sec accuracy=49.242361 loss=2.188953 lr=0.022830 Epoch[144] Batch [2299]/[3760] Speed: 98.595155 samples/sec accuracy=49.241168 loss=2.188512 lr=0.022819 Epoch[144] Batch [2349]/[3760] Speed: 97.013030 samples/sec accuracy=49.232713 loss=2.188573 lr=0.022808 Epoch[144] Batch [2399]/[3760] Speed: 96.468153 samples/sec accuracy=49.186198 loss=2.190093 lr=0.022798 Epoch[144] Batch [2449]/[3760] Speed: 98.082580 samples/sec accuracy=49.202806 loss=2.189213 lr=0.022787 Epoch[144] Batch [2499]/[3760] Speed: 96.967356 samples/sec accuracy=49.191875 loss=2.189804 lr=0.022776 Epoch[144] Batch [2549]/[3760] Speed: 97.681219 samples/sec accuracy=49.179534 loss=2.190279 lr=0.022765 Epoch[144] Batch [2599]/[3760] Speed: 96.970588 samples/sec accuracy=49.183293 loss=2.190701 lr=0.022754 Epoch[144] Batch [2649]/[3760] Speed: 96.913064 samples/sec accuracy=49.186910 loss=2.190659 lr=0.022744 Epoch[144] 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accuracy=49.114583 loss=2.194698 lr=0.022635 Epoch[144] Batch [3199]/[3760] Speed: 97.788740 samples/sec accuracy=49.107422 loss=2.195287 lr=0.022625 Epoch[144] Batch [3249]/[3760] Speed: 95.594291 samples/sec accuracy=49.090385 loss=2.196191 lr=0.022614 Epoch[144] Batch [3299]/[3760] Speed: 97.044744 samples/sec accuracy=49.078598 loss=2.196581 lr=0.022603 Epoch[144] Batch [3349]/[3760] Speed: 97.192873 samples/sec accuracy=49.080690 loss=2.196238 lr=0.022592 Epoch[144] Batch [3399]/[3760] Speed: 97.955006 samples/sec accuracy=49.068934 loss=2.196483 lr=0.022582 Epoch[144] Batch [3449]/[3760] Speed: 98.259537 samples/sec accuracy=49.068388 loss=2.196711 lr=0.022571 Epoch[144] Batch [3499]/[3760] Speed: 96.067051 samples/sec accuracy=49.058929 loss=2.196710 lr=0.022560 Epoch[144] Batch [3549]/[3760] Speed: 97.679863 samples/sec accuracy=49.056338 loss=2.197027 lr=0.022549 Epoch[144] Batch [3599]/[3760] Speed: 96.912776 samples/sec accuracy=49.051649 loss=2.197415 lr=0.022538 Epoch[144] Batch [3649]/[3760] Speed: 97.170296 samples/sec accuracy=49.050514 loss=2.197596 lr=0.022528 Epoch[144] Batch [3699]/[3760] Speed: 98.804334 samples/sec accuracy=49.062922 loss=2.197153 lr=0.022517 Epoch[144] Batch [3749]/[3760] Speed: 110.588528 samples/sec accuracy=49.077917 loss=2.196491 lr=0.022506 Batch [0049]/[0303]: acc-top1=50.937500 acc-top5=75.718750 Batch [0099]/[0303]: acc-top1=46.984375 acc-top5=73.031250 Batch [0149]/[0303]: acc-top1=48.531250 acc-top5=73.635417 Batch [0199]/[0303]: acc-top1=51.140625 acc-top5=75.484375 Batch [0249]/[0303]: acc-top1=50.625000 acc-top5=75.493750 Batch [0299]/[0303]: acc-top1=50.333333 acc-top5=75.468750 [Epoch 144] training: accuracy=49.076213 loss=2.196783 [Epoch 144] speed: 96 samples/sec time cost: 2675.326753 [Epoch 144] validation: acc-top1=50.330033 acc-top5=75.484736 loss=2.301527 Epoch[145] Batch [0049]/[3759] Speed: 67.192695 samples/sec accuracy=50.343750 loss=2.140224 lr=0.022493 Epoch[145] Batch [0099]/[3759] Speed: 92.703139 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lr=0.021776 Epoch[145] Batch [3449]/[3759] Speed: 97.582414 samples/sec accuracy=49.429348 loss=2.179829 lr=0.021765 Epoch[145] Batch [3499]/[3759] Speed: 97.010126 samples/sec accuracy=49.427232 loss=2.179822 lr=0.021754 Epoch[145] Batch [3549]/[3759] Speed: 97.510032 samples/sec accuracy=49.423415 loss=2.180230 lr=0.021744 Epoch[145] Batch [3599]/[3759] Speed: 96.299121 samples/sec accuracy=49.414062 loss=2.180949 lr=0.021733 Epoch[145] Batch [3649]/[3759] Speed: 96.213114 samples/sec accuracy=49.416096 loss=2.180775 lr=0.021722 Epoch[145] Batch [3699]/[3759] Speed: 97.415118 samples/sec accuracy=49.426098 loss=2.180690 lr=0.021712 Epoch[145] Batch [3749]/[3759] Speed: 110.984213 samples/sec accuracy=49.407917 loss=2.181339 lr=0.021701 Batch [0049]/[0303]: acc-top1=48.125000 acc-top5=72.000000 Batch [0099]/[0303]: acc-top1=45.500000 acc-top5=70.390625 Batch [0149]/[0303]: acc-top1=47.145833 acc-top5=71.822917 Batch [0199]/[0303]: acc-top1=49.898438 acc-top5=73.726562 Batch [0249]/[0303]: acc-top1=49.125000 acc-top5=73.325000 Batch [0299]/[0303]: acc-top1=48.572917 acc-top5=73.432292 [Epoch 145] training: accuracy=49.409334 loss=2.181462 [Epoch 145] speed: 96 samples/sec time cost: 2677.640394 [Epoch 145] validation: acc-top1=48.540635 acc-top5=73.432343 loss=2.403864 Epoch[146] Batch [0049]/[3760] Speed: 67.307078 samples/sec accuracy=49.156250 loss=2.152466 lr=0.021689 Epoch[146] Batch [0099]/[3760] Speed: 92.828856 samples/sec accuracy=49.296875 loss=2.185221 lr=0.021678 Epoch[146] Batch [0149]/[3760] Speed: 97.837362 samples/sec accuracy=49.947917 loss=2.162743 lr=0.021667 Epoch[146] Batch [0199]/[3760] Speed: 96.383279 samples/sec accuracy=50.054687 loss=2.160594 lr=0.021657 Epoch[146] Batch [0249]/[3760] Speed: 98.598200 samples/sec accuracy=49.737500 loss=2.165278 lr=0.021646 Epoch[146] Batch [0299]/[3760] Speed: 95.733011 samples/sec accuracy=49.609375 loss=2.163470 lr=0.021636 Epoch[146] Batch [0349]/[3760] Speed: 95.469263 samples/sec accuracy=49.566964 loss=2.164707 lr=0.021625 Epoch[146] Batch [0399]/[3760] Speed: 97.775252 samples/sec accuracy=49.550781 loss=2.172236 lr=0.021614 Epoch[146] Batch [0449]/[3760] Speed: 97.977566 samples/sec accuracy=49.597222 loss=2.167342 lr=0.021604 Epoch[146] Batch [0499]/[3760] Speed: 97.946385 samples/sec accuracy=49.662500 loss=2.165689 lr=0.021593 Epoch[146] Batch [0549]/[3760] Speed: 96.902130 samples/sec accuracy=49.565341 loss=2.167341 lr=0.021582 Epoch[146] Batch [0599]/[3760] Speed: 98.509750 samples/sec accuracy=49.578125 loss=2.167881 lr=0.021572 Epoch[146] Batch [0649]/[3760] Speed: 95.874093 samples/sec accuracy=49.685096 loss=2.164334 lr=0.021561 Epoch[146] Batch [0699]/[3760] Speed: 97.889962 samples/sec accuracy=49.738839 loss=2.160767 lr=0.021551 Epoch[146] Batch [0749]/[3760] Speed: 95.751791 samples/sec accuracy=49.741667 loss=2.158697 lr=0.021540 Epoch[146] Batch [0799]/[3760] Speed: 97.369409 samples/sec accuracy=49.808594 loss=2.154581 lr=0.021529 Epoch[146] 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accuracy=49.634615 loss=2.162265 lr=0.021423 Epoch[146] Batch [1349]/[3760] Speed: 97.475722 samples/sec accuracy=49.603009 loss=2.164549 lr=0.021413 Epoch[146] Batch [1399]/[3760] Speed: 97.586159 samples/sec accuracy=49.603795 loss=2.164113 lr=0.021402 Epoch[146] Batch [1449]/[3760] Speed: 97.358680 samples/sec accuracy=49.631466 loss=2.162670 lr=0.021392 Epoch[146] Batch [1499]/[3760] Speed: 96.186414 samples/sec accuracy=49.646875 loss=2.162055 lr=0.021381 Epoch[146] Batch [1549]/[3760] Speed: 96.406067 samples/sec accuracy=49.646169 loss=2.161477 lr=0.021371 Epoch[146] Batch [1599]/[3760] Speed: 98.067340 samples/sec accuracy=49.660156 loss=2.160782 lr=0.021360 Epoch[146] Batch [1649]/[3760] Speed: 97.677877 samples/sec accuracy=49.634470 loss=2.162380 lr=0.021349 Epoch[146] Batch [1699]/[3760] Speed: 98.349644 samples/sec accuracy=49.631434 loss=2.161972 lr=0.021339 Epoch[146] Batch [1749]/[3760] Speed: 96.141004 samples/sec accuracy=49.668750 loss=2.161297 lr=0.021328 Epoch[146] 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accuracy=49.686806 loss=2.160767 lr=0.021223 Epoch[146] Batch [2299]/[3760] Speed: 95.012246 samples/sec accuracy=49.701766 loss=2.160506 lr=0.021212 Epoch[146] Batch [2349]/[3760] Speed: 98.184732 samples/sec accuracy=49.702128 loss=2.161292 lr=0.021202 Epoch[146] Batch [2399]/[3760] Speed: 97.888613 samples/sec accuracy=49.705729 loss=2.161238 lr=0.021191 Epoch[146] Batch [2449]/[3760] Speed: 97.380747 samples/sec accuracy=49.688776 loss=2.161776 lr=0.021181 Epoch[146] Batch [2499]/[3760] Speed: 98.003608 samples/sec accuracy=49.660000 loss=2.163282 lr=0.021170 Epoch[146] Batch [2549]/[3760] Speed: 97.112540 samples/sec accuracy=49.662377 loss=2.163542 lr=0.021160 Epoch[146] Batch [2599]/[3760] Speed: 96.205079 samples/sec accuracy=49.676683 loss=2.163163 lr=0.021149 Epoch[146] Batch [2649]/[3760] Speed: 97.506133 samples/sec accuracy=49.667453 loss=2.163454 lr=0.021138 Epoch[146] Batch [2699]/[3760] Speed: 97.832720 samples/sec accuracy=49.633102 loss=2.165244 lr=0.021128 Epoch[146] 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accuracy=49.597656 loss=2.167278 lr=0.021023 Epoch[146] Batch [3249]/[3760] Speed: 98.141904 samples/sec accuracy=49.595192 loss=2.166505 lr=0.021012 Epoch[146] Batch [3299]/[3760] Speed: 97.549049 samples/sec accuracy=49.616951 loss=2.166331 lr=0.021002 Epoch[146] Batch [3349]/[3760] Speed: 97.671371 samples/sec accuracy=49.610075 loss=2.167000 lr=0.020991 Epoch[146] Batch [3399]/[3760] Speed: 97.592457 samples/sec accuracy=49.610754 loss=2.166964 lr=0.020981 Epoch[146] Batch [3449]/[3760] Speed: 97.216639 samples/sec accuracy=49.629076 loss=2.166451 lr=0.020970 Epoch[146] Batch [3499]/[3760] Speed: 96.444599 samples/sec accuracy=49.617411 loss=2.166608 lr=0.020960 Epoch[146] Batch [3549]/[3760] Speed: 97.052610 samples/sec accuracy=49.621919 loss=2.166619 lr=0.020949 Epoch[146] Batch [3599]/[3760] Speed: 97.257151 samples/sec accuracy=49.637153 loss=2.166129 lr=0.020939 Epoch[146] Batch [3649]/[3760] Speed: 97.195421 samples/sec accuracy=49.630993 loss=2.166321 lr=0.020928 Epoch[146] Batch [3699]/[3760] Speed: 94.632527 samples/sec accuracy=49.619510 loss=2.166715 lr=0.020918 Epoch[146] Batch [3749]/[3760] Speed: 111.242110 samples/sec accuracy=49.634167 loss=2.165976 lr=0.020907 Batch [0049]/[0303]: acc-top1=50.656250 acc-top5=75.000000 Batch [0099]/[0303]: acc-top1=46.812500 acc-top5=72.296875 Batch [0149]/[0303]: acc-top1=48.072917 acc-top5=73.093750 Batch [0199]/[0303]: acc-top1=51.210938 acc-top5=75.195312 Batch [0249]/[0303]: acc-top1=50.900000 acc-top5=75.312500 Batch [0299]/[0303]: acc-top1=49.994792 acc-top5=75.031250 [Epoch 146] training: accuracy=49.642204 loss=2.165711 [Epoch 146] speed: 96 samples/sec time cost: 2678.068428 [Epoch 146] validation: acc-top1=49.948432 acc-top5=74.922649 loss=2.302993 Epoch[147] Batch [0049]/[3760] Speed: 67.394766 samples/sec accuracy=49.437500 loss=2.208349 lr=0.020895 Epoch[147] Batch [0099]/[3760] Speed: 94.098309 samples/sec accuracy=50.031250 loss=2.163359 lr=0.020884 Epoch[147] Batch [0149]/[3760] Speed: 97.448439 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lr=0.020383 Epoch[147] Batch [2549]/[3760] Speed: 96.728114 samples/sec accuracy=50.019608 loss=2.142213 lr=0.020373 Epoch[147] Batch [2599]/[3760] Speed: 98.062667 samples/sec accuracy=50.002404 loss=2.143378 lr=0.020362 Epoch[147] Batch [2649]/[3760] Speed: 97.456760 samples/sec accuracy=49.992925 loss=2.143908 lr=0.020352 Epoch[147] Batch [2699]/[3760] Speed: 97.889051 samples/sec accuracy=49.985532 loss=2.143651 lr=0.020342 Epoch[147] Batch [2749]/[3760] Speed: 95.920758 samples/sec accuracy=49.973864 loss=2.143839 lr=0.020331 Epoch[147] Batch [2799]/[3760] Speed: 98.407155 samples/sec accuracy=49.976004 loss=2.144542 lr=0.020321 Epoch[147] Batch [2849]/[3760] Speed: 96.898561 samples/sec accuracy=49.936952 loss=2.145440 lr=0.020310 Epoch[147] Batch [2899]/[3760] Speed: 97.322252 samples/sec accuracy=49.940194 loss=2.145785 lr=0.020300 Epoch[147] Batch [2949]/[3760] Speed: 96.583090 samples/sec accuracy=49.937500 loss=2.146879 lr=0.020290 Epoch[147] Batch [2999]/[3760] Speed: 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lr=0.020186 Epoch[147] Batch [3499]/[3760] Speed: 97.429725 samples/sec accuracy=49.892411 loss=2.147989 lr=0.020176 Epoch[147] Batch [3549]/[3760] Speed: 98.069957 samples/sec accuracy=49.909331 loss=2.146891 lr=0.020165 Epoch[147] Batch [3599]/[3760] Speed: 96.528434 samples/sec accuracy=49.911892 loss=2.147021 lr=0.020155 Epoch[147] Batch [3649]/[3760] Speed: 97.736634 samples/sec accuracy=49.901969 loss=2.147612 lr=0.020145 Epoch[147] Batch [3699]/[3760] Speed: 97.053786 samples/sec accuracy=49.928632 loss=2.146775 lr=0.020134 Epoch[147] Batch [3749]/[3760] Speed: 110.928680 samples/sec accuracy=49.928333 loss=2.146892 lr=0.020124 Batch [0049]/[0303]: acc-top1=52.312500 acc-top5=74.906250 Batch [0099]/[0303]: acc-top1=48.640625 acc-top5=73.687500 Batch [0149]/[0303]: acc-top1=50.020833 acc-top5=74.416667 Batch [0199]/[0303]: acc-top1=52.445312 acc-top5=76.101562 Batch [0249]/[0303]: acc-top1=51.968750 acc-top5=75.800000 Batch [0299]/[0303]: acc-top1=51.359375 acc-top5=75.864583 [Epoch 147] training: accuracy=49.929771 loss=2.147019 [Epoch 147] speed: 96 samples/sec time cost: 2679.987083 [Epoch 147] validation: acc-top1=51.299505 acc-top5=75.866337 loss=2.208064 Epoch[148] Batch [0049]/[3759] Speed: 66.888831 samples/sec accuracy=50.593750 loss=2.149632 lr=0.020112 Epoch[148] Batch [0099]/[3759] Speed: 92.074042 samples/sec accuracy=51.437500 loss=2.105483 lr=0.020101 Epoch[148] Batch [0149]/[3759] Speed: 98.268026 samples/sec accuracy=51.833333 loss=2.072994 lr=0.020091 Epoch[148] Batch [0199]/[3759] Speed: 96.488756 samples/sec accuracy=51.562500 loss=2.085557 lr=0.020081 Epoch[148] Batch [0249]/[3759] Speed: 98.337532 samples/sec accuracy=51.268750 loss=2.093424 lr=0.020070 Epoch[148] Batch [0299]/[3759] Speed: 97.320998 samples/sec accuracy=51.031250 loss=2.093430 lr=0.020060 Epoch[148] Batch [0349]/[3759] Speed: 97.988224 samples/sec accuracy=51.272321 loss=2.088804 lr=0.020050 Epoch[148] Batch [0399]/[3759] Speed: 96.359911 samples/sec accuracy=51.085938 loss=2.096187 lr=0.020039 Epoch[148] Batch [0449]/[3759] Speed: 97.169264 samples/sec accuracy=51.121528 loss=2.100177 lr=0.020029 Epoch[148] Batch [0499]/[3759] Speed: 97.650350 samples/sec accuracy=51.175000 loss=2.097100 lr=0.020019 Epoch[148] Batch [0549]/[3759] Speed: 97.556524 samples/sec accuracy=51.122159 loss=2.097190 lr=0.020008 Epoch[148] Batch [0599]/[3759] Speed: 97.864167 samples/sec accuracy=51.101562 loss=2.101718 lr=0.019998 Epoch[148] Batch [0649]/[3759] Speed: 94.387284 samples/sec accuracy=51.019231 loss=2.101520 lr=0.019988 Epoch[148] Batch [0699]/[3759] Speed: 99.919005 samples/sec accuracy=50.930804 loss=2.105667 lr=0.019977 Epoch[148] Batch [0749]/[3759] Speed: 96.478167 samples/sec accuracy=50.868750 loss=2.108301 lr=0.019967 Epoch[148] Batch [0799]/[3759] Speed: 98.224566 samples/sec accuracy=50.919922 loss=2.107204 lr=0.019957 Epoch[148] Batch [0849]/[3759] Speed: 97.925551 samples/sec accuracy=50.871324 loss=2.109961 lr=0.019946 Epoch[148] Batch [0899]/[3759] Speed: 96.140798 samples/sec accuracy=50.883681 loss=2.111538 lr=0.019936 Epoch[148] Batch [0949]/[3759] Speed: 96.694358 samples/sec accuracy=50.842105 loss=2.112061 lr=0.019926 Epoch[148] Batch [0999]/[3759] Speed: 98.048323 samples/sec accuracy=50.837500 loss=2.110409 lr=0.019915 Epoch[148] Batch [1049]/[3759] Speed: 97.814048 samples/sec accuracy=50.860119 loss=2.110474 lr=0.019905 Epoch[148] Batch [1099]/[3759] Speed: 97.392439 samples/sec accuracy=50.823864 loss=2.111958 lr=0.019895 Epoch[148] Batch [1149]/[3759] Speed: 97.762196 samples/sec accuracy=50.779891 loss=2.113299 lr=0.019885 Epoch[148] Batch [1199]/[3759] Speed: 97.665807 samples/sec accuracy=50.798177 loss=2.114438 lr=0.019874 Epoch[148] Batch [1249]/[3759] Speed: 96.674597 samples/sec accuracy=50.760000 loss=2.116914 lr=0.019864 Epoch[148] Batch [1299]/[3759] Speed: 97.955695 samples/sec accuracy=50.748798 loss=2.116524 lr=0.019854 Epoch[148] Batch [1349]/[3759] Speed: 97.493455 samples/sec accuracy=50.706019 loss=2.118400 lr=0.019843 Epoch[148] Batch [1399]/[3759] Speed: 97.839616 samples/sec accuracy=50.708705 loss=2.118934 lr=0.019833 Epoch[148] Batch [1449]/[3759] Speed: 98.436083 samples/sec accuracy=50.688578 loss=2.118788 lr=0.019823 Epoch[148] Batch [1499]/[3759] Speed: 95.672109 samples/sec accuracy=50.640625 loss=2.121534 lr=0.019813 Epoch[148] Batch [1549]/[3759] Speed: 98.607693 samples/sec accuracy=50.649194 loss=2.120808 lr=0.019802 Epoch[148] Batch [1599]/[3759] Speed: 97.424993 samples/sec accuracy=50.627930 loss=2.121586 lr=0.019792 Epoch[148] Batch [1649]/[3759] Speed: 98.175598 samples/sec accuracy=50.663826 loss=2.121322 lr=0.019782 Epoch[148] Batch [1699]/[3759] Speed: 96.946829 samples/sec accuracy=50.626838 loss=2.121891 lr=0.019771 Epoch[148] Batch [1749]/[3759] Speed: 98.095218 samples/sec accuracy=50.644643 loss=2.122521 lr=0.019761 Epoch[148] Batch [1799]/[3759] Speed: 96.054660 samples/sec accuracy=50.616319 loss=2.124077 lr=0.019751 Epoch[148] Batch [1849]/[3759] Speed: 97.344572 samples/sec accuracy=50.568412 loss=2.125194 lr=0.019741 Epoch[148] Batch [1899]/[3759] Speed: 97.402996 samples/sec accuracy=50.572368 loss=2.124249 lr=0.019730 Epoch[148] Batch [1949]/[3759] Speed: 98.467530 samples/sec accuracy=50.596955 loss=2.123513 lr=0.019720 Epoch[148] Batch [1999]/[3759] Speed: 97.550113 samples/sec accuracy=50.606250 loss=2.123148 lr=0.019710 Epoch[148] Batch [2049]/[3759] Speed: 97.874169 samples/sec accuracy=50.593750 loss=2.123156 lr=0.019700 Epoch[148] Batch [2099]/[3759] Speed: 96.435596 samples/sec accuracy=50.602679 loss=2.122288 lr=0.019689 Epoch[148] Batch [2149]/[3759] Speed: 97.581215 samples/sec accuracy=50.626453 loss=2.121270 lr=0.019679 Epoch[148] Batch [2199]/[3759] Speed: 97.758679 samples/sec accuracy=50.607955 loss=2.122564 lr=0.019669 Epoch[148] Batch [2249]/[3759] Speed: 97.250483 samples/sec accuracy=50.604861 loss=2.122508 lr=0.019659 Epoch[148] Batch [2299]/[3759] Speed: 97.597512 samples/sec accuracy=50.588315 loss=2.123887 lr=0.019648 Epoch[148] Batch [2349]/[3759] Speed: 96.296875 samples/sec accuracy=50.579787 loss=2.123157 lr=0.019638 Epoch[148] Batch [2399]/[3759] Speed: 98.458174 samples/sec accuracy=50.570312 loss=2.124295 lr=0.019628 Epoch[148] Batch [2449]/[3759] Speed: 97.005500 samples/sec accuracy=50.540179 loss=2.124790 lr=0.019618 Epoch[148] Batch [2499]/[3759] Speed: 97.982645 samples/sec accuracy=50.549375 loss=2.125342 lr=0.019607 Epoch[148] Batch [2549]/[3759] Speed: 96.953677 samples/sec accuracy=50.553309 loss=2.124818 lr=0.019597 Epoch[148] Batch [2599]/[3759] Speed: 97.169323 samples/sec accuracy=50.543870 loss=2.124674 lr=0.019587 Epoch[148] Batch [2649]/[3759] Speed: 96.846229 samples/sec accuracy=50.537736 loss=2.125004 lr=0.019577 Epoch[148] Batch [2699]/[3759] Speed: 96.957928 samples/sec accuracy=50.557870 loss=2.124261 lr=0.019566 Epoch[148] Batch [2749]/[3759] Speed: 97.853078 samples/sec accuracy=50.527273 loss=2.124310 lr=0.019556 Epoch[148] Batch [2799]/[3759] Speed: 98.536728 samples/sec accuracy=50.501116 loss=2.125365 lr=0.019546 Epoch[148] Batch [2849]/[3759] Speed: 97.112581 samples/sec accuracy=50.469846 loss=2.126914 lr=0.019536 Epoch[148] Batch [2899]/[3759] Speed: 98.396449 samples/sec accuracy=50.456358 loss=2.127583 lr=0.019525 Epoch[148] Batch [2949]/[3759] Speed: 96.492189 samples/sec accuracy=50.474576 loss=2.127379 lr=0.019515 Epoch[148] Batch [2999]/[3759] Speed: 97.998149 samples/sec accuracy=50.467708 loss=2.127619 lr=0.019505 Epoch[148] Batch [3049]/[3759] Speed: 97.692167 samples/sec accuracy=50.468750 loss=2.127260 lr=0.019495 Epoch[148] Batch [3099]/[3759] Speed: 96.987371 samples/sec accuracy=50.492944 loss=2.126325 lr=0.019485 Epoch[148] Batch [3149]/[3759] Speed: 97.164580 samples/sec accuracy=50.481151 loss=2.127057 lr=0.019474 Epoch[148] Batch [3199]/[3759] Speed: 95.817690 samples/sec accuracy=50.487793 loss=2.127317 lr=0.019464 Epoch[148] Batch [3249]/[3759] Speed: 99.085402 samples/sec accuracy=50.487500 loss=2.127751 lr=0.019454 Epoch[148] Batch [3299]/[3759] Speed: 96.723330 samples/sec accuracy=50.473011 loss=2.128300 lr=0.019444 Epoch[148] Batch [3349]/[3759] Speed: 98.553023 samples/sec accuracy=50.491138 loss=2.127658 lr=0.019433 Epoch[148] Batch [3399]/[3759] Speed: 96.539364 samples/sec accuracy=50.483456 loss=2.127635 lr=0.019423 Epoch[148] Batch [3449]/[3759] Speed: 97.861917 samples/sec accuracy=50.488678 loss=2.127183 lr=0.019413 Epoch[148] Batch [3499]/[3759] Speed: 96.553300 samples/sec accuracy=50.479911 loss=2.127412 lr=0.019403 Epoch[148] Batch [3549]/[3759] Speed: 97.117196 samples/sec accuracy=50.475352 loss=2.127343 lr=0.019393 Epoch[148] Batch [3599]/[3759] Speed: 97.452754 samples/sec accuracy=50.475694 loss=2.127583 lr=0.019382 Epoch[148] Batch [3649]/[3759] Speed: 97.792566 samples/sec accuracy=50.459760 loss=2.128453 lr=0.019372 Epoch[148] Batch [3699]/[3759] Speed: 98.040184 samples/sec accuracy=50.467483 loss=2.129076 lr=0.019362 Epoch[148] Batch [3749]/[3759] Speed: 110.815350 samples/sec accuracy=50.451667 loss=2.129545 lr=0.019352 Batch [0049]/[0303]: acc-top1=50.843750 acc-top5=74.656250 Batch [0099]/[0303]: acc-top1=47.937500 acc-top5=73.437500 Batch [0149]/[0303]: acc-top1=49.250000 acc-top5=74.000000 Batch [0199]/[0303]: acc-top1=52.164062 acc-top5=75.757812 Batch [0249]/[0303]: acc-top1=51.693750 acc-top5=75.543750 Batch [0299]/[0303]: acc-top1=51.177083 acc-top5=75.546875 [Epoch 148] training: accuracy=50.441025 loss=2.129946 [Epoch 148] speed: 96 samples/sec time cost: 2673.637465 [Epoch 148] validation: acc-top1=51.139645 acc-top5=75.562087 loss=2.248590 Epoch[149] Batch [0049]/[3760] Speed: 68.024571 samples/sec accuracy=50.718750 loss=2.100397 lr=0.019340 Epoch[149] Batch [0099]/[3760] Speed: 93.995512 samples/sec accuracy=50.671875 loss=2.092283 lr=0.019330 Epoch[149] Batch [0149]/[3760] Speed: 96.780725 samples/sec accuracy=50.760417 loss=2.103865 lr=0.019319 Epoch[149] Batch [0199]/[3760] Speed: 95.620143 samples/sec accuracy=51.554687 loss=2.082535 lr=0.019309 Epoch[149] Batch [0249]/[3760] Speed: 98.472892 samples/sec accuracy=51.675000 loss=2.080019 lr=0.019299 Epoch[149] Batch [0299]/[3760] Speed: 94.651646 samples/sec accuracy=51.729167 loss=2.069482 lr=0.019289 Epoch[149] Batch [0349]/[3760] Speed: 97.477846 samples/sec accuracy=51.709821 loss=2.067157 lr=0.019279 Epoch[149] Batch [0399]/[3760] Speed: 97.623406 samples/sec accuracy=51.738281 loss=2.068341 lr=0.019269 Epoch[149] Batch [0449]/[3760] Speed: 97.587324 samples/sec accuracy=51.472222 loss=2.078674 lr=0.019258 Epoch[149] Batch [0499]/[3760] Speed: 97.307027 samples/sec accuracy=51.443750 loss=2.078497 lr=0.019248 Epoch[149] Batch [0549]/[3760] Speed: 96.514810 samples/sec accuracy=51.355114 loss=2.079359 lr=0.019238 Epoch[149] Batch [0599]/[3760] Speed: 96.449431 samples/sec accuracy=51.390625 loss=2.074938 lr=0.019228 Epoch[149] Batch [0649]/[3760] Speed: 96.575699 samples/sec accuracy=51.298077 loss=2.080354 lr=0.019218 Epoch[149] Batch [0699]/[3760] Speed: 97.557627 samples/sec accuracy=51.348214 loss=2.079564 lr=0.019208 Epoch[149] Batch [0749]/[3760] Speed: 97.013278 samples/sec accuracy=51.325000 loss=2.081338 lr=0.019197 Epoch[149] Batch [0799]/[3760] Speed: 98.128619 samples/sec accuracy=51.275391 loss=2.085966 lr=0.019187 Epoch[149] Batch [0849]/[3760] Speed: 94.635787 samples/sec accuracy=51.275735 loss=2.089781 lr=0.019177 Epoch[149] Batch [0899]/[3760] Speed: 99.056167 samples/sec accuracy=51.194444 loss=2.091047 lr=0.019167 Epoch[149] Batch [0949]/[3760] Speed: 97.338311 samples/sec accuracy=51.085526 loss=2.095616 lr=0.019157 Epoch[149] Batch [0999]/[3760] Speed: 97.413423 samples/sec accuracy=51.101562 loss=2.095303 lr=0.019147 Epoch[149] Batch [1049]/[3760] Speed: 97.142197 samples/sec accuracy=51.104167 loss=2.093799 lr=0.019137 Epoch[149] Batch [1099]/[3760] Speed: 97.838537 samples/sec accuracy=51.059659 loss=2.095312 lr=0.019126 Epoch[149] Batch [1149]/[3760] Speed: 96.589015 samples/sec accuracy=51.080163 loss=2.095735 lr=0.019116 Epoch[149] Batch [1199]/[3760] Speed: 97.723383 samples/sec accuracy=51.095052 loss=2.094974 lr=0.019106 Epoch[149] Batch [1249]/[3760] Speed: 97.267831 samples/sec accuracy=51.051250 loss=2.096578 lr=0.019096 Epoch[149] Batch [1299]/[3760] Speed: 97.456489 samples/sec accuracy=51.063702 loss=2.095560 lr=0.019086 Epoch[149] Batch [1349]/[3760] Speed: 98.455718 samples/sec accuracy=51.032407 loss=2.096917 lr=0.019076 Epoch[149] Batch [1399]/[3760] Speed: 97.432824 samples/sec accuracy=51.001116 loss=2.098317 lr=0.019066 Epoch[149] Batch [1449]/[3760] Speed: 95.899801 samples/sec accuracy=50.984914 loss=2.098386 lr=0.019055 Epoch[149] Batch [1499]/[3760] Speed: 96.659382 samples/sec accuracy=51.029167 loss=2.096363 lr=0.019045 Epoch[149] Batch [1549]/[3760] Speed: 98.202220 samples/sec accuracy=51.082661 loss=2.095790 lr=0.019035 Epoch[149] Batch [1599]/[3760] Speed: 97.158528 samples/sec accuracy=51.072266 loss=2.095784 lr=0.019025 Epoch[149] Batch [1649]/[3760] Speed: 98.211369 samples/sec accuracy=51.073864 loss=2.095727 lr=0.019015 Epoch[149] Batch [1699]/[3760] Speed: 93.266556 samples/sec accuracy=51.094669 loss=2.093835 lr=0.019005 Epoch[149] Batch [1749]/[3760] Speed: 99.702367 samples/sec accuracy=51.076786 loss=2.094398 lr=0.018995 Epoch[149] Batch [1799]/[3760] Speed: 97.560481 samples/sec accuracy=51.062500 loss=2.094635 lr=0.018985 Epoch[149] Batch [1849]/[3760] Speed: 97.127113 samples/sec accuracy=51.027872 loss=2.095828 lr=0.018974 Epoch[149] Batch [1899]/[3760] Speed: 97.350602 samples/sec accuracy=51.009046 loss=2.096069 lr=0.018964 Epoch[149] Batch [1949]/[3760] Speed: 97.550447 samples/sec accuracy=51.033654 loss=2.095665 lr=0.018954 Epoch[149] Batch [1999]/[3760] Speed: 96.198552 samples/sec accuracy=51.021875 loss=2.096935 lr=0.018944 Epoch[149] Batch [2049]/[3760] Speed: 98.403882 samples/sec accuracy=51.012957 loss=2.097773 lr=0.018934 Epoch[149] Batch [2099]/[3760] Speed: 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lr=0.018833 Epoch[149] Batch [2599]/[3760] Speed: 99.459589 samples/sec accuracy=50.896635 loss=2.103588 lr=0.018823 Epoch[149] Batch [2649]/[3760] Speed: 97.453238 samples/sec accuracy=50.888561 loss=2.103527 lr=0.018813 Epoch[149] Batch [2699]/[3760] Speed: 97.308379 samples/sec accuracy=50.857639 loss=2.104120 lr=0.018803 Epoch[149] Batch [2749]/[3760] Speed: 97.668367 samples/sec accuracy=50.837500 loss=2.104485 lr=0.018793 Epoch[149] Batch [2799]/[3760] Speed: 97.362742 samples/sec accuracy=50.836496 loss=2.105280 lr=0.018783 Epoch[149] Batch [2849]/[3760] Speed: 96.367438 samples/sec accuracy=50.831689 loss=2.105898 lr=0.018773 Epoch[149] Batch [2899]/[3760] Speed: 96.243601 samples/sec accuracy=50.808190 loss=2.106620 lr=0.018762 Epoch[149] Batch [2949]/[3760] Speed: 97.760595 samples/sec accuracy=50.799788 loss=2.107036 lr=0.018752 Epoch[149] Batch [2999]/[3760] Speed: 97.176714 samples/sec accuracy=50.780729 loss=2.107614 lr=0.018742 Epoch[149] Batch [3049]/[3760] Speed: 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lr=0.018642 Epoch[149] Batch [3549]/[3760] Speed: 97.256683 samples/sec accuracy=50.802817 loss=2.110060 lr=0.018632 Epoch[149] Batch [3599]/[3760] Speed: 97.543388 samples/sec accuracy=50.792101 loss=2.110167 lr=0.018622 Epoch[149] Batch [3649]/[3760] Speed: 97.532946 samples/sec accuracy=50.779966 loss=2.110815 lr=0.018612 Epoch[149] Batch [3699]/[3760] Speed: 95.506760 samples/sec accuracy=50.752956 loss=2.111680 lr=0.018602 Epoch[149] Batch [3749]/[3760] Speed: 110.772382 samples/sec accuracy=50.759167 loss=2.112144 lr=0.018592 Batch [0049]/[0303]: acc-top1=51.406250 acc-top5=75.656250 Batch [0099]/[0303]: acc-top1=48.968750 acc-top5=74.359375 Batch [0149]/[0303]: acc-top1=50.020833 acc-top5=74.500000 Batch [0199]/[0303]: acc-top1=52.171875 acc-top5=75.656250 Batch [0249]/[0303]: acc-top1=51.700000 acc-top5=75.750000 Batch [0299]/[0303]: acc-top1=51.250000 acc-top5=75.572917 [Epoch 149] training: accuracy=50.770445 loss=2.111752 [Epoch 149] speed: 96 samples/sec time cost: 2677.004201 [Epoch 149] validation: acc-top1=51.227310 acc-top5=75.598185 loss=2.242679 Epoch[150] Batch [0049]/[3760] Speed: 67.249850 samples/sec accuracy=52.250000 loss=2.016622 lr=0.018580 Epoch[150] Batch [0099]/[3760] Speed: 93.782756 samples/sec accuracy=51.234375 loss=2.075964 lr=0.018570 Epoch[150] Batch [0149]/[3760] Speed: 99.289177 samples/sec accuracy=51.406250 loss=2.069383 lr=0.018559 Epoch[150] Batch [0199]/[3760] Speed: 94.461997 samples/sec accuracy=51.460938 loss=2.067160 lr=0.018549 Epoch[150] Batch [0249]/[3760] Speed: 98.249096 samples/sec accuracy=51.443750 loss=2.068999 lr=0.018539 Epoch[150] Batch [0299]/[3760] Speed: 98.041568 samples/sec accuracy=51.421875 loss=2.074771 lr=0.018529 Epoch[150] Batch [0349]/[3760] Speed: 96.843119 samples/sec accuracy=51.241071 loss=2.081914 lr=0.018519 Epoch[150] Batch [0399]/[3760] Speed: 97.877086 samples/sec accuracy=51.242188 loss=2.079970 lr=0.018509 Epoch[150] Batch [0449]/[3760] Speed: 95.825903 samples/sec accuracy=51.288194 loss=2.081900 lr=0.018499 Epoch[150] Batch [0499]/[3760] Speed: 97.194200 samples/sec accuracy=51.359375 loss=2.079142 lr=0.018489 Epoch[150] Batch [0549]/[3760] Speed: 94.440311 samples/sec accuracy=51.465909 loss=2.076912 lr=0.018479 Epoch[150] Batch [0599]/[3760] Speed: 98.321668 samples/sec accuracy=51.398438 loss=2.077972 lr=0.018469 Epoch[150] Batch [0649]/[3760] Speed: 96.167727 samples/sec accuracy=51.336538 loss=2.078001 lr=0.018459 Epoch[150] Batch [0699]/[3760] Speed: 97.537931 samples/sec accuracy=51.372768 loss=2.080092 lr=0.018449 Epoch[150] Batch [0749]/[3760] Speed: 94.845655 samples/sec accuracy=51.412500 loss=2.078583 lr=0.018439 Epoch[150] Batch [0799]/[3760] Speed: 99.131636 samples/sec accuracy=51.398438 loss=2.078924 lr=0.018429 Epoch[150] Batch [0849]/[3760] Speed: 97.360689 samples/sec accuracy=51.397059 loss=2.078939 lr=0.018419 Epoch[150] Batch [0899]/[3760] Speed: 97.462192 samples/sec accuracy=51.375000 loss=2.080938 lr=0.018409 Epoch[150] Batch [0949]/[3760] Speed: 97.523759 samples/sec accuracy=51.287829 loss=2.084148 lr=0.018399 Epoch[150] Batch [0999]/[3760] Speed: 97.801659 samples/sec accuracy=51.310937 loss=2.084051 lr=0.018389 Epoch[150] Batch [1049]/[3760] Speed: 96.090217 samples/sec accuracy=51.316964 loss=2.082452 lr=0.018379 Epoch[150] Batch [1099]/[3760] Speed: 97.561147 samples/sec accuracy=51.275568 loss=2.083555 lr=0.018369 Epoch[150] Batch [1149]/[3760] Speed: 97.814645 samples/sec accuracy=51.225543 loss=2.084734 lr=0.018359 Epoch[150] Batch [1199]/[3760] Speed: 96.232015 samples/sec accuracy=51.273438 loss=2.082614 lr=0.018349 Epoch[150] Batch [1249]/[3760] Speed: 97.171548 samples/sec accuracy=51.272500 loss=2.082066 lr=0.018339 Epoch[150] Batch [1299]/[3760] Speed: 97.673149 samples/sec accuracy=51.314904 loss=2.081117 lr=0.018329 Epoch[150] Batch [1349]/[3760] Speed: 95.847503 samples/sec accuracy=51.307870 loss=2.082016 lr=0.018319 Epoch[150] Batch [1399]/[3760] Speed: 97.188061 samples/sec accuracy=51.369420 loss=2.080027 lr=0.018309 Epoch[150] Batch [1449]/[3760] Speed: 96.758307 samples/sec accuracy=51.385776 loss=2.079054 lr=0.018299 Epoch[150] Batch [1499]/[3760] Speed: 98.655878 samples/sec accuracy=51.404167 loss=2.079601 lr=0.018289 Epoch[150] Batch [1549]/[3760] Speed: 96.354817 samples/sec accuracy=51.439516 loss=2.079470 lr=0.018280 Epoch[150] Batch [1599]/[3760] Speed: 97.936887 samples/sec accuracy=51.395508 loss=2.082662 lr=0.018270 Epoch[150] Batch [1649]/[3760] Speed: 96.168755 samples/sec accuracy=51.388258 loss=2.082957 lr=0.018260 Epoch[150] Batch [1699]/[3760] Speed: 97.257413 samples/sec accuracy=51.372243 loss=2.082579 lr=0.018250 Epoch[150] Batch [1749]/[3760] Speed: 98.170425 samples/sec accuracy=51.344643 loss=2.084227 lr=0.018240 Epoch[150] Batch [1799]/[3760] Speed: 96.689059 samples/sec accuracy=51.322049 loss=2.085312 lr=0.018230 Epoch[150] Batch [1849]/[3760] Speed: 98.247249 samples/sec accuracy=51.293074 loss=2.087022 lr=0.018220 Epoch[150] Batch [1899]/[3760] Speed: 95.600267 samples/sec accuracy=51.290296 loss=2.087087 lr=0.018210 Epoch[150] Batch [1949]/[3760] Speed: 97.945643 samples/sec accuracy=51.331731 loss=2.085617 lr=0.018200 Epoch[150] Batch [1999]/[3760] Speed: 97.405494 samples/sec accuracy=51.330469 loss=2.086156 lr=0.018190 Epoch[150] Batch [2049]/[3760] Speed: 97.600432 samples/sec accuracy=51.317835 loss=2.086667 lr=0.018180 Epoch[150] Batch [2099]/[3760] Speed: 97.488913 samples/sec accuracy=51.282738 loss=2.087834 lr=0.018170 Epoch[150] Batch [2149]/[3760] Speed: 97.086928 samples/sec accuracy=51.272529 loss=2.088114 lr=0.018160 Epoch[150] Batch [2199]/[3760] Speed: 95.881539 samples/sec accuracy=51.306818 loss=2.086354 lr=0.018150 Epoch[150] Batch [2249]/[3760] Speed: 97.304785 samples/sec accuracy=51.307639 loss=2.086338 lr=0.018140 Epoch[150] Batch [2299]/[3760] Speed: 97.651977 samples/sec accuracy=51.322690 loss=2.086299 lr=0.018130 Epoch[150] Batch [2349]/[3760] Speed: 97.186559 samples/sec accuracy=51.308511 loss=2.086230 lr=0.018120 Epoch[150] Batch [2399]/[3760] Speed: 98.042173 samples/sec accuracy=51.292318 loss=2.087416 lr=0.018110 Epoch[150] Batch [2449]/[3760] Speed: 98.104025 samples/sec accuracy=51.266582 loss=2.088169 lr=0.018100 Epoch[150] Batch [2499]/[3760] Speed: 95.596434 samples/sec accuracy=51.283750 loss=2.087990 lr=0.018090 Epoch[150] Batch [2549]/[3760] Speed: 97.877560 samples/sec accuracy=51.248775 loss=2.089580 lr=0.018081 Epoch[150] Batch [2599]/[3760] Speed: 97.878418 samples/sec accuracy=51.223558 loss=2.090076 lr=0.018071 Epoch[150] Batch [2649]/[3760] Speed: 98.242840 samples/sec accuracy=51.244693 loss=2.089845 lr=0.018061 Epoch[150] Batch [2699]/[3760] Speed: 96.801533 samples/sec accuracy=51.263889 loss=2.089094 lr=0.018051 Epoch[150] Batch [2749]/[3760] Speed: 95.104767 samples/sec accuracy=51.244886 loss=2.089545 lr=0.018041 Epoch[150] Batch [2799]/[3760] Speed: 98.823380 samples/sec accuracy=51.233817 loss=2.090292 lr=0.018031 Epoch[150] Batch [2849]/[3760] Speed: 96.547959 samples/sec accuracy=51.260965 loss=2.089185 lr=0.018021 Epoch[150] Batch [2899]/[3760] Speed: 97.844227 samples/sec accuracy=51.264009 loss=2.089819 lr=0.018011 Epoch[150] Batch [2949]/[3760] Speed: 97.463748 samples/sec accuracy=51.277542 loss=2.090169 lr=0.018001 Epoch[150] Batch [2999]/[3760] Speed: 98.174147 samples/sec accuracy=51.292708 loss=2.089868 lr=0.017991 Epoch[150] Batch [3049]/[3760] Speed: 96.076111 samples/sec accuracy=51.301230 loss=2.090283 lr=0.017981 Epoch[150] Batch [3099]/[3760] Speed: 97.096094 samples/sec accuracy=51.276210 loss=2.091561 lr=0.017971 Epoch[150] Batch [3149]/[3760] Speed: 97.571168 samples/sec accuracy=51.280258 loss=2.091581 lr=0.017962 Epoch[150] Batch [3199]/[3760] Speed: 98.067307 samples/sec accuracy=51.260742 loss=2.092048 lr=0.017952 Epoch[150] Batch [3249]/[3760] Speed: 97.109537 samples/sec accuracy=51.241827 loss=2.092590 lr=0.017942 Epoch[150] Batch [3299]/[3760] Speed: 97.058558 samples/sec accuracy=51.229640 loss=2.093201 lr=0.017932 Epoch[150] Batch [3349]/[3760] Speed: 95.968271 samples/sec accuracy=51.250466 loss=2.092878 lr=0.017922 Epoch[150] Batch [3399]/[3760] Speed: 97.994507 samples/sec accuracy=51.237132 loss=2.093251 lr=0.017912 Epoch[150] Batch [3449]/[3760] Speed: 97.467155 samples/sec accuracy=51.238678 loss=2.092974 lr=0.017902 Epoch[150] Batch [3499]/[3760] Speed: 97.217914 samples/sec accuracy=51.217411 loss=2.094086 lr=0.017892 Epoch[150] Batch [3549]/[3760] Speed: 98.323309 samples/sec accuracy=51.218310 loss=2.094432 lr=0.017882 Epoch[150] Batch [3599]/[3760] Speed: 97.547312 samples/sec accuracy=51.204427 loss=2.094930 lr=0.017873 Epoch[150] Batch [3649]/[3760] Speed: 96.648359 samples/sec accuracy=51.205051 loss=2.094312 lr=0.017863 Epoch[150] Batch [3699]/[3760] Speed: 97.958089 samples/sec accuracy=51.207348 loss=2.094263 lr=0.017853 Epoch[150] Batch [3749]/[3760] Speed: 111.757068 samples/sec accuracy=51.182500 loss=2.095518 lr=0.017843 Batch [0049]/[0303]: acc-top1=51.656250 acc-top5=75.406250 Batch [0099]/[0303]: acc-top1=49.046875 acc-top5=74.609375 Batch [0149]/[0303]: acc-top1=50.041667 acc-top5=74.708333 Batch [0199]/[0303]: acc-top1=52.921875 acc-top5=76.218750 Batch [0249]/[0303]: acc-top1=52.437500 acc-top5=75.993750 Batch [0299]/[0303]: acc-top1=51.739583 acc-top5=75.864583 [Epoch 150] training: accuracy=51.176862 loss=2.095741 [Epoch 150] speed: 96 samples/sec time cost: 2676.223126 [Epoch 150] validation: acc-top1=51.696576 acc-top5=75.892120 loss=2.201341 Epoch[151] Batch [0049]/[3759] Speed: 66.881550 samples/sec accuracy=52.437500 loss=2.048390 lr=0.017831 Epoch[151] Batch [0099]/[3759] Speed: 94.687699 samples/sec accuracy=51.984375 loss=2.055298 lr=0.017821 Epoch[151] Batch [0149]/[3759] Speed: 96.189296 samples/sec accuracy=51.989583 loss=2.048176 lr=0.017811 Epoch[151] Batch [0199]/[3759] Speed: 95.569970 samples/sec accuracy=51.625000 loss=2.061164 lr=0.017801 Epoch[151] Batch [0249]/[3759] Speed: 98.160372 samples/sec accuracy=51.587500 loss=2.066566 lr=0.017792 Epoch[151] Batch [0299]/[3759] Speed: 96.768333 samples/sec accuracy=51.692708 loss=2.056801 lr=0.017782 Epoch[151] Batch [0349]/[3759] Speed: 98.162368 samples/sec accuracy=51.727679 loss=2.059037 lr=0.017772 Epoch[151] Batch [0399]/[3759] Speed: 95.183717 samples/sec accuracy=51.765625 loss=2.060795 lr=0.017762 Epoch[151] Batch [0449]/[3759] Speed: 98.150604 samples/sec accuracy=51.888889 loss=2.058935 lr=0.017752 Epoch[151] Batch [0499]/[3759] Speed: 97.616878 samples/sec accuracy=51.956250 loss=2.055862 lr=0.017742 Epoch[151] Batch [0549]/[3759] Speed: 97.206442 samples/sec accuracy=52.045455 loss=2.049623 lr=0.017732 Epoch[151] Batch [0599]/[3759] Speed: 98.411416 samples/sec accuracy=52.101562 loss=2.049085 lr=0.017723 Epoch[151] Batch [0649]/[3759] Speed: 96.174917 samples/sec accuracy=51.978365 loss=2.052497 lr=0.017713 Epoch[151] Batch [0699]/[3759] Speed: 96.249011 samples/sec accuracy=51.977679 loss=2.051350 lr=0.017703 Epoch[151] Batch [0749]/[3759] Speed: 97.455063 samples/sec accuracy=52.091667 loss=2.049825 lr=0.017693 Epoch[151] Batch [0799]/[3759] Speed: 97.646941 samples/sec accuracy=52.054688 loss=2.050049 lr=0.017683 Epoch[151] Batch [0849]/[3759] Speed: 97.456898 samples/sec accuracy=51.990809 loss=2.052607 lr=0.017673 Epoch[151] Batch [0899]/[3759] Speed: 97.456792 samples/sec accuracy=51.996528 loss=2.053042 lr=0.017664 Epoch[151] Batch [0949]/[3759] Speed: 97.335735 samples/sec accuracy=52.041118 loss=2.052582 lr=0.017654 Epoch[151] Batch [0999]/[3759] Speed: 96.116122 samples/sec accuracy=51.978125 loss=2.053913 lr=0.017644 Epoch[151] Batch [1049]/[3759] Speed: 98.359025 samples/sec accuracy=52.022321 loss=2.051555 lr=0.017634 Epoch[151] Batch [1099]/[3759] Speed: 98.424961 samples/sec accuracy=51.897727 loss=2.056734 lr=0.017624 Epoch[151] Batch [1149]/[3759] Speed: 97.334575 samples/sec accuracy=51.824728 loss=2.059310 lr=0.017614 Epoch[151] Batch [1199]/[3759] Speed: 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lr=0.017145 Epoch[151] Batch [3599]/[3759] Speed: 96.252303 samples/sec accuracy=51.478299 loss=2.073034 lr=0.017135 Epoch[151] Batch [3649]/[3759] Speed: 97.558422 samples/sec accuracy=51.494435 loss=2.072477 lr=0.017126 Epoch[151] Batch [3699]/[3759] Speed: 97.306799 samples/sec accuracy=51.487753 loss=2.072316 lr=0.017116 Epoch[151] Batch [3749]/[3759] Speed: 110.839714 samples/sec accuracy=51.485417 loss=2.072199 lr=0.017106 Batch [0049]/[0303]: acc-top1=50.468750 acc-top5=74.781250 Batch [0099]/[0303]: acc-top1=48.437500 acc-top5=73.984375 Batch [0149]/[0303]: acc-top1=49.916667 acc-top5=74.625000 Batch [0199]/[0303]: acc-top1=52.867188 acc-top5=76.578125 Batch [0249]/[0303]: acc-top1=52.231250 acc-top5=76.562500 Batch [0299]/[0303]: acc-top1=51.994792 acc-top5=76.536458 [Epoch 151] training: accuracy=51.476872 loss=2.072529 [Epoch 151] speed: 96 samples/sec time cost: 2675.602972 [Epoch 151] validation: acc-top1=51.923474 acc-top5=76.526403 loss=2.217011 Epoch[152] Batch 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accuracy=52.671875 loss=2.031081 lr=0.017008 Epoch[152] Batch [0549]/[3760] Speed: 96.628895 samples/sec accuracy=52.687500 loss=2.030147 lr=0.016998 Epoch[152] Batch [0599]/[3760] Speed: 97.864143 samples/sec accuracy=52.773438 loss=2.026165 lr=0.016988 Epoch[152] Batch [0649]/[3760] Speed: 93.776928 samples/sec accuracy=52.641827 loss=2.028871 lr=0.016978 Epoch[152] Batch [0699]/[3760] Speed: 100.291530 samples/sec accuracy=52.633929 loss=2.031902 lr=0.016969 Epoch[152] Batch [0749]/[3760] Speed: 96.676272 samples/sec accuracy=52.672917 loss=2.029135 lr=0.016959 Epoch[152] Batch [0799]/[3760] Speed: 98.604763 samples/sec accuracy=52.652344 loss=2.028751 lr=0.016949 Epoch[152] Batch [0849]/[3760] Speed: 96.465267 samples/sec accuracy=52.531250 loss=2.033377 lr=0.016940 Epoch[152] Batch [0899]/[3760] Speed: 97.193113 samples/sec accuracy=52.588542 loss=2.031530 lr=0.016930 Epoch[152] Batch [0949]/[3760] Speed: 95.196804 samples/sec accuracy=52.565789 loss=2.029726 lr=0.016920 Epoch[152] Batch [0999]/[3760] Speed: 98.634323 samples/sec accuracy=52.604688 loss=2.032363 lr=0.016911 Epoch[152] Batch [1049]/[3760] Speed: 97.708510 samples/sec accuracy=52.586310 loss=2.033155 lr=0.016901 Epoch[152] Batch [1099]/[3760] Speed: 97.299397 samples/sec accuracy=52.573864 loss=2.034379 lr=0.016891 Epoch[152] Batch [1149]/[3760] Speed: 98.420082 samples/sec accuracy=52.551630 loss=2.034360 lr=0.016882 Epoch[152] Batch [1199]/[3760] Speed: 97.436519 samples/sec accuracy=52.563802 loss=2.035241 lr=0.016872 Epoch[152] Batch [1249]/[3760] Speed: 96.297854 samples/sec accuracy=52.567500 loss=2.034829 lr=0.016862 Epoch[152] Batch [1299]/[3760] Speed: 97.547204 samples/sec accuracy=52.543269 loss=2.035524 lr=0.016853 Epoch[152] Batch [1349]/[3760] Speed: 97.718923 samples/sec accuracy=52.526620 loss=2.038401 lr=0.016843 Epoch[152] Batch [1399]/[3760] Speed: 97.404232 samples/sec accuracy=52.491071 loss=2.040046 lr=0.016833 Epoch[152] Batch [1449]/[3760] Speed: 97.811930 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lr=0.016737 Epoch[152] Batch [1949]/[3760] Speed: 98.111821 samples/sec accuracy=52.350160 loss=2.043144 lr=0.016727 Epoch[152] Batch [1999]/[3760] Speed: 96.681742 samples/sec accuracy=52.313281 loss=2.044161 lr=0.016718 Epoch[152] Batch [2049]/[3760] Speed: 97.638517 samples/sec accuracy=52.293445 loss=2.044565 lr=0.016708 Epoch[152] Batch [2099]/[3760] Speed: 94.314111 samples/sec accuracy=52.283482 loss=2.044895 lr=0.016699 Epoch[152] Batch [2149]/[3760] Speed: 99.867214 samples/sec accuracy=52.266715 loss=2.045201 lr=0.016689 Epoch[152] Batch [2199]/[3760] Speed: 96.832189 samples/sec accuracy=52.265625 loss=2.045381 lr=0.016679 Epoch[152] Batch [2249]/[3760] Speed: 97.160685 samples/sec accuracy=52.270833 loss=2.043841 lr=0.016670 Epoch[152] Batch [2299]/[3760] Speed: 96.979845 samples/sec accuracy=52.279891 loss=2.043882 lr=0.016660 Epoch[152] Batch [2349]/[3760] Speed: 97.303584 samples/sec accuracy=52.273271 loss=2.044021 lr=0.016650 Epoch[152] Batch [2399]/[3760] Speed: 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lr=0.016554 Epoch[152] Batch [2899]/[3760] Speed: 97.149029 samples/sec accuracy=52.052802 loss=2.052035 lr=0.016545 Epoch[152] Batch [2949]/[3760] Speed: 97.624572 samples/sec accuracy=52.007945 loss=2.053334 lr=0.016535 Epoch[152] Batch [2999]/[3760] Speed: 96.167254 samples/sec accuracy=52.009375 loss=2.053755 lr=0.016526 Epoch[152] Batch [3049]/[3760] Speed: 98.232025 samples/sec accuracy=52.003074 loss=2.053934 lr=0.016516 Epoch[152] Batch [3099]/[3760] Speed: 97.021278 samples/sec accuracy=52.021673 loss=2.054076 lr=0.016507 Epoch[152] Batch [3149]/[3760] Speed: 97.760644 samples/sec accuracy=52.004960 loss=2.054509 lr=0.016497 Epoch[152] Batch [3199]/[3760] Speed: 97.947211 samples/sec accuracy=51.991211 loss=2.055015 lr=0.016487 Epoch[152] Batch [3249]/[3760] Speed: 98.081494 samples/sec accuracy=52.011538 loss=2.054583 lr=0.016478 Epoch[152] Batch [3299]/[3760] Speed: 96.124620 samples/sec accuracy=51.994318 loss=2.054584 lr=0.016468 Epoch[152] Batch [3349]/[3760] Speed: 97.194840 samples/sec accuracy=51.996735 loss=2.054344 lr=0.016459 Epoch[152] Batch [3399]/[3760] Speed: 98.055552 samples/sec accuracy=51.966452 loss=2.055583 lr=0.016449 Epoch[152] Batch [3449]/[3760] Speed: 97.111013 samples/sec accuracy=51.990942 loss=2.054456 lr=0.016440 Epoch[152] Batch [3499]/[3760] Speed: 96.847462 samples/sec accuracy=51.966071 loss=2.056320 lr=0.016430 Epoch[152] Batch [3549]/[3760] Speed: 94.157774 samples/sec accuracy=51.938380 loss=2.057483 lr=0.016420 Epoch[152] Batch [3599]/[3760] Speed: 99.904923 samples/sec accuracy=51.963108 loss=2.056883 lr=0.016411 Epoch[152] Batch [3649]/[3760] Speed: 97.439541 samples/sec accuracy=51.964897 loss=2.056535 lr=0.016401 Epoch[152] Batch [3699]/[3760] Speed: 97.439846 samples/sec accuracy=51.957770 loss=2.057295 lr=0.016392 Epoch[152] Batch [3749]/[3760] Speed: 111.149377 samples/sec accuracy=51.980833 loss=2.056935 lr=0.016382 Batch [0049]/[0303]: acc-top1=53.218750 acc-top5=77.437500 Batch [0099]/[0303]: acc-top1=49.953125 acc-top5=75.687500 Batch [0149]/[0303]: acc-top1=50.958333 acc-top5=76.135417 Batch [0199]/[0303]: acc-top1=53.468750 acc-top5=77.453125 Batch [0249]/[0303]: acc-top1=52.718750 acc-top5=77.031250 Batch [0299]/[0303]: acc-top1=52.453125 acc-top5=76.973958 [Epoch 152] training: accuracy=51.980552 loss=2.057026 [Epoch 152] speed: 96 samples/sec time cost: 2676.857152 [Epoch 152] validation: acc-top1=52.356642 acc-top5=76.918317 loss=2.196337 Epoch[153] Batch [0049]/[3760] Speed: 68.965792 samples/sec accuracy=53.843750 loss=1.977120 lr=0.016371 Epoch[153] Batch [0099]/[3760] Speed: 93.600081 samples/sec accuracy=53.343750 loss=1.987445 lr=0.016361 Epoch[153] Batch [0149]/[3760] Speed: 98.887913 samples/sec accuracy=53.750000 loss=1.982442 lr=0.016352 Epoch[153] Batch [0199]/[3760] Speed: 96.187520 samples/sec accuracy=53.578125 loss=1.986504 lr=0.016342 Epoch[153] Batch [0249]/[3760] Speed: 98.875803 samples/sec accuracy=53.450000 loss=1.987130 lr=0.016333 Epoch[153] 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accuracy=52.964583 loss=2.002204 lr=0.016237 Epoch[153] Batch [0799]/[3760] Speed: 97.683416 samples/sec accuracy=53.013672 loss=2.003201 lr=0.016228 Epoch[153] Batch [0849]/[3760] Speed: 98.156577 samples/sec accuracy=52.943015 loss=2.007000 lr=0.016218 Epoch[153] Batch [0899]/[3760] Speed: 98.232080 samples/sec accuracy=52.887153 loss=2.011299 lr=0.016209 Epoch[153] Batch [0949]/[3760] Speed: 96.673467 samples/sec accuracy=52.950658 loss=2.009797 lr=0.016199 Epoch[153] Batch [0999]/[3760] Speed: 97.537746 samples/sec accuracy=52.840625 loss=2.013965 lr=0.016190 Epoch[153] Batch [1049]/[3760] Speed: 98.272273 samples/sec accuracy=52.842262 loss=2.013610 lr=0.016180 Epoch[153] Batch [1099]/[3760] Speed: 97.668681 samples/sec accuracy=52.815341 loss=2.013643 lr=0.016171 Epoch[153] Batch [1149]/[3760] Speed: 98.837525 samples/sec accuracy=52.785326 loss=2.015213 lr=0.016161 Epoch[153] Batch [1199]/[3760] Speed: 97.778468 samples/sec accuracy=52.761719 loss=2.017304 lr=0.016152 Epoch[153] 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accuracy=52.718750 loss=2.021743 lr=0.016057 Epoch[153] Batch [1749]/[3760] Speed: 99.265909 samples/sec accuracy=52.700000 loss=2.022357 lr=0.016048 Epoch[153] Batch [1799]/[3760] Speed: 97.197505 samples/sec accuracy=52.678819 loss=2.022161 lr=0.016038 Epoch[153] Batch [1849]/[3760] Speed: 97.053868 samples/sec accuracy=52.662162 loss=2.023155 lr=0.016029 Epoch[153] Batch [1899]/[3760] Speed: 98.558923 samples/sec accuracy=52.630757 loss=2.024488 lr=0.016019 Epoch[153] Batch [1949]/[3760] Speed: 98.667541 samples/sec accuracy=52.633814 loss=2.023842 lr=0.016010 Epoch[153] Batch [1999]/[3760] Speed: 98.543167 samples/sec accuracy=52.590625 loss=2.025496 lr=0.016000 Epoch[153] Batch [2049]/[3760] Speed: 98.120148 samples/sec accuracy=52.599848 loss=2.025016 lr=0.015991 Epoch[153] Batch [2099]/[3760] Speed: 97.843386 samples/sec accuracy=52.630952 loss=2.023683 lr=0.015981 Epoch[153] Batch [2149]/[3760] Speed: 96.479818 samples/sec accuracy=52.594477 loss=2.024857 lr=0.015972 Epoch[153] 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accuracy=52.502358 loss=2.029760 lr=0.015878 Epoch[153] Batch [2699]/[3760] Speed: 96.237978 samples/sec accuracy=52.482060 loss=2.030019 lr=0.015868 Epoch[153] Batch [2749]/[3760] Speed: 99.554735 samples/sec accuracy=52.454545 loss=2.030618 lr=0.015859 Epoch[153] Batch [2799]/[3760] Speed: 98.307500 samples/sec accuracy=52.450893 loss=2.030888 lr=0.015849 Epoch[153] Batch [2849]/[3760] Speed: 97.148984 samples/sec accuracy=52.446820 loss=2.030655 lr=0.015840 Epoch[153] Batch [2899]/[3760] Speed: 98.998687 samples/sec accuracy=52.461207 loss=2.031304 lr=0.015830 Epoch[153] Batch [2949]/[3760] Speed: 96.634546 samples/sec accuracy=52.457097 loss=2.031513 lr=0.015821 Epoch[153] Batch [2999]/[3760] Speed: 98.423934 samples/sec accuracy=52.444271 loss=2.031264 lr=0.015812 Epoch[153] Batch [3049]/[3760] Speed: 98.456414 samples/sec accuracy=52.437500 loss=2.032239 lr=0.015802 Epoch[153] Batch [3099]/[3760] Speed: 98.482860 samples/sec accuracy=52.428931 loss=2.032088 lr=0.015793 Epoch[153] 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accuracy=52.348524 loss=2.034770 lr=0.015699 Epoch[153] Batch [3649]/[3760] Speed: 98.335244 samples/sec accuracy=52.347175 loss=2.034794 lr=0.015689 Epoch[153] Batch [3699]/[3760] Speed: 98.383990 samples/sec accuracy=52.347128 loss=2.034825 lr=0.015680 Epoch[153] Batch [3749]/[3760] Speed: 110.195234 samples/sec accuracy=52.351250 loss=2.034309 lr=0.015671 Batch [0049]/[0303]: acc-top1=53.531250 acc-top5=76.375000 Batch [0099]/[0303]: acc-top1=50.625000 acc-top5=75.234375 Batch [0149]/[0303]: acc-top1=52.166667 acc-top5=75.895833 Batch [0199]/[0303]: acc-top1=54.726562 acc-top5=77.601562 Batch [0249]/[0303]: acc-top1=53.968750 acc-top5=77.356250 Batch [0299]/[0303]: acc-top1=53.135417 acc-top5=77.239583 [Epoch 153] training: accuracy=52.349152 loss=2.034541 [Epoch 153] speed: 97 samples/sec time cost: 2656.154571 [Epoch 153] validation: acc-top1=53.125000 acc-top5=77.232880 loss=2.159582 Epoch[154] Batch [0049]/[3759] Speed: 67.989351 samples/sec accuracy=53.062500 loss=1.996407 lr=0.015659 Epoch[154] Batch [0099]/[3759] Speed: 92.681669 samples/sec accuracy=53.171875 loss=1.981876 lr=0.015650 Epoch[154] Batch [0149]/[3759] Speed: 97.337736 samples/sec accuracy=53.062500 loss=1.993839 lr=0.015641 Epoch[154] Batch [0199]/[3759] Speed: 95.525389 samples/sec accuracy=52.726562 loss=2.003133 lr=0.015631 Epoch[154] Batch [0249]/[3759] Speed: 98.564483 samples/sec accuracy=52.668750 loss=2.007506 lr=0.015622 Epoch[154] Batch [0299]/[3759] Speed: 96.235199 samples/sec accuracy=52.869792 loss=2.008239 lr=0.015613 Epoch[154] Batch [0349]/[3759] Speed: 97.056050 samples/sec accuracy=52.924107 loss=2.005722 lr=0.015603 Epoch[154] Batch [0399]/[3759] Speed: 96.428265 samples/sec accuracy=53.066406 loss=1.993898 lr=0.015594 Epoch[154] Batch [0449]/[3759] Speed: 97.219494 samples/sec accuracy=52.986111 loss=1.997875 lr=0.015585 Epoch[154] Batch [0499]/[3759] Speed: 96.743884 samples/sec accuracy=53.075000 loss=1.993476 lr=0.015575 Epoch[154] Batch [0549]/[3759] Speed: 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lr=0.015482 Epoch[154] Batch [1049]/[3759] Speed: 98.216934 samples/sec accuracy=52.930060 loss=1.997968 lr=0.015472 Epoch[154] Batch [1099]/[3759] Speed: 97.573009 samples/sec accuracy=52.896307 loss=1.999594 lr=0.015463 Epoch[154] Batch [1149]/[3759] Speed: 97.174334 samples/sec accuracy=52.929348 loss=1.997898 lr=0.015454 Epoch[154] Batch [1199]/[3759] Speed: 96.935649 samples/sec accuracy=52.886719 loss=1.998174 lr=0.015444 Epoch[154] Batch [1249]/[3759] Speed: 95.361870 samples/sec accuracy=52.903750 loss=1.999467 lr=0.015435 Epoch[154] Batch [1299]/[3759] Speed: 98.851951 samples/sec accuracy=52.877404 loss=2.001508 lr=0.015426 Epoch[154] Batch [1349]/[3759] Speed: 97.786955 samples/sec accuracy=52.857639 loss=2.002718 lr=0.015417 Epoch[154] Batch [1399]/[3759] Speed: 97.481471 samples/sec accuracy=52.882812 loss=2.001896 lr=0.015407 Epoch[154] Batch [1449]/[3759] Speed: 96.923118 samples/sec accuracy=52.837284 loss=2.003210 lr=0.015398 Epoch[154] Batch [1499]/[3759] Speed: 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lr=0.015305 Epoch[154] Batch [1999]/[3759] Speed: 96.935224 samples/sec accuracy=52.767187 loss=2.005881 lr=0.015296 Epoch[154] Batch [2049]/[3759] Speed: 97.695433 samples/sec accuracy=52.786585 loss=2.006206 lr=0.015286 Epoch[154] Batch [2099]/[3759] Speed: 97.115090 samples/sec accuracy=52.784226 loss=2.006713 lr=0.015277 Epoch[154] Batch [2149]/[3759] Speed: 96.752311 samples/sec accuracy=52.776163 loss=2.007070 lr=0.015268 Epoch[154] Batch [2199]/[3759] Speed: 98.099274 samples/sec accuracy=52.758523 loss=2.007963 lr=0.015258 Epoch[154] Batch [2249]/[3759] Speed: 97.826096 samples/sec accuracy=52.728472 loss=2.008638 lr=0.015249 Epoch[154] Batch [2299]/[3759] Speed: 98.092093 samples/sec accuracy=52.747283 loss=2.008034 lr=0.015240 Epoch[154] Batch [2349]/[3759] Speed: 97.094867 samples/sec accuracy=52.761968 loss=2.007945 lr=0.015231 Epoch[154] Batch [2399]/[3759] Speed: 98.273328 samples/sec accuracy=52.770182 loss=2.007593 lr=0.015221 Epoch[154] Batch [2449]/[3759] Speed: 96.285385 samples/sec accuracy=52.782526 loss=2.007698 lr=0.015212 Epoch[154] Batch [2499]/[3759] Speed: 97.693523 samples/sec accuracy=52.803750 loss=2.007472 lr=0.015203 Epoch[154] Batch [2549]/[3759] Speed: 97.885397 samples/sec accuracy=52.798407 loss=2.008335 lr=0.015194 Epoch[154] Batch [2599]/[3759] Speed: 97.552199 samples/sec accuracy=52.781851 loss=2.008115 lr=0.015184 Epoch[154] Batch [2649]/[3759] Speed: 97.344248 samples/sec accuracy=52.741156 loss=2.009271 lr=0.015175 Epoch[154] Batch [2699]/[3759] Speed: 97.017212 samples/sec accuracy=52.736111 loss=2.009602 lr=0.015166 Epoch[154] Batch [2749]/[3759] Speed: 96.477015 samples/sec accuracy=52.700568 loss=2.010410 lr=0.015157 Epoch[154] Batch [2799]/[3759] Speed: 97.465767 samples/sec accuracy=52.712054 loss=2.010003 lr=0.015147 Epoch[154] Batch [2849]/[3759] Speed: 97.512105 samples/sec accuracy=52.706689 loss=2.010168 lr=0.015138 Epoch[154] Batch [2899]/[3759] Speed: 97.400815 samples/sec accuracy=52.688039 loss=2.011536 lr=0.015129 Epoch[154] Batch [2949]/[3759] Speed: 97.270841 samples/sec accuracy=52.714513 loss=2.011316 lr=0.015120 Epoch[154] Batch [2999]/[3759] Speed: 98.191838 samples/sec accuracy=52.710417 loss=2.011760 lr=0.015110 Epoch[154] Batch [3049]/[3759] Speed: 95.973935 samples/sec accuracy=52.718750 loss=2.011608 lr=0.015101 Epoch[154] Batch [3099]/[3759] Speed: 97.337493 samples/sec accuracy=52.727823 loss=2.011984 lr=0.015092 Epoch[154] Batch [3149]/[3759] Speed: 97.245617 samples/sec accuracy=52.727679 loss=2.012350 lr=0.015083 Epoch[154] Batch [3199]/[3759] Speed: 97.954241 samples/sec accuracy=52.709473 loss=2.012356 lr=0.015073 Epoch[154] Batch [3249]/[3759] Speed: 97.456563 samples/sec accuracy=52.722596 loss=2.012251 lr=0.015064 Epoch[154] Batch [3299]/[3759] Speed: 98.567523 samples/sec accuracy=52.727746 loss=2.012193 lr=0.015055 Epoch[154] Batch [3349]/[3759] Speed: 95.335773 samples/sec accuracy=52.731810 loss=2.012158 lr=0.015046 Epoch[154] Batch [3399]/[3759] Speed: 97.332748 samples/sec accuracy=52.726103 loss=2.012902 lr=0.015037 Epoch[154] Batch [3449]/[3759] Speed: 97.503425 samples/sec accuracy=52.730525 loss=2.013069 lr=0.015027 Epoch[154] Batch [3499]/[3759] Speed: 97.963547 samples/sec accuracy=52.754911 loss=2.012184 lr=0.015018 Epoch[154] Batch [3549]/[3759] Speed: 96.615724 samples/sec accuracy=52.747799 loss=2.012599 lr=0.015009 Epoch[154] Batch [3599]/[3759] Speed: 94.550216 samples/sec accuracy=52.741319 loss=2.013018 lr=0.015000 Epoch[154] Batch [3649]/[3759] Speed: 99.491795 samples/sec accuracy=52.734161 loss=2.013470 lr=0.014990 Epoch[154] Batch [3699]/[3759] Speed: 97.506198 samples/sec accuracy=52.720861 loss=2.013777 lr=0.014981 Epoch[154] Batch [3749]/[3759] Speed: 110.185954 samples/sec accuracy=52.726667 loss=2.013656 lr=0.014972 Batch [0049]/[0303]: acc-top1=51.656250 acc-top5=75.125000 Batch [0099]/[0303]: acc-top1=49.156250 acc-top5=74.093750 Batch [0149]/[0303]: acc-top1=50.479167 acc-top5=74.750000 Batch [0199]/[0303]: acc-top1=53.265625 acc-top5=76.515625 Batch [0249]/[0303]: acc-top1=52.537500 acc-top5=76.350000 Batch [0299]/[0303]: acc-top1=51.838542 acc-top5=76.281250 [Epoch 154] training: accuracy=52.720970 loss=2.013877 [Epoch 154] speed: 96 samples/sec time cost: 2677.082596 [Epoch 154] validation: acc-top1=51.810025 acc-top5=76.304662 loss=2.193208 Epoch[155] Batch [0049]/[3760] Speed: 67.695305 samples/sec accuracy=54.468750 loss=1.937530 lr=0.014961 Epoch[155] Batch [0099]/[3760] Speed: 94.257039 samples/sec accuracy=54.609375 loss=1.937429 lr=0.014952 Epoch[155] Batch [0149]/[3760] Speed: 95.628133 samples/sec accuracy=54.656250 loss=1.939059 lr=0.014943 Epoch[155] Batch [0199]/[3760] Speed: 95.712059 samples/sec accuracy=54.523438 loss=1.944885 lr=0.014934 Epoch[155] Batch [0249]/[3760] Speed: 98.416788 samples/sec accuracy=54.306250 loss=1.945266 lr=0.014924 Epoch[155] Batch [0299]/[3760] Speed: 95.968283 samples/sec accuracy=53.994792 loss=1.959014 lr=0.014915 Epoch[155] Batch 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accuracy=53.806641 loss=1.958688 lr=0.014823 Epoch[155] Batch [0849]/[3760] Speed: 97.639755 samples/sec accuracy=53.827206 loss=1.954937 lr=0.014814 Epoch[155] Batch [0899]/[3760] Speed: 97.897279 samples/sec accuracy=53.786458 loss=1.957012 lr=0.014805 Epoch[155] Batch [0949]/[3760] Speed: 97.269563 samples/sec accuracy=53.720395 loss=1.960397 lr=0.014796 Epoch[155] Batch [0999]/[3760] Speed: 97.049230 samples/sec accuracy=53.659375 loss=1.961783 lr=0.014787 Epoch[155] Batch [1049]/[3760] Speed: 96.857611 samples/sec accuracy=53.626488 loss=1.963296 lr=0.014778 Epoch[155] Batch [1099]/[3760] Speed: 97.925013 samples/sec accuracy=53.616477 loss=1.965921 lr=0.014768 Epoch[155] Batch [1149]/[3760] Speed: 97.546261 samples/sec accuracy=53.527174 loss=1.969957 lr=0.014759 Epoch[155] Batch [1199]/[3760] Speed: 97.979522 samples/sec accuracy=53.579427 loss=1.968006 lr=0.014750 Epoch[155] Batch [1249]/[3760] Speed: 97.766523 samples/sec accuracy=53.548750 loss=1.969548 lr=0.014741 Epoch[155] 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accuracy=53.323214 loss=1.983380 lr=0.014650 Epoch[155] Batch [1799]/[3760] Speed: 97.729192 samples/sec accuracy=53.301215 loss=1.983979 lr=0.014641 Epoch[155] Batch [1849]/[3760] Speed: 96.352827 samples/sec accuracy=53.293919 loss=1.984726 lr=0.014631 Epoch[155] Batch [1899]/[3760] Speed: 94.966792 samples/sec accuracy=53.314967 loss=1.984189 lr=0.014622 Epoch[155] Batch [1949]/[3760] Speed: 99.773937 samples/sec accuracy=53.324519 loss=1.984559 lr=0.014613 Epoch[155] Batch [1999]/[3760] Speed: 97.008943 samples/sec accuracy=53.318750 loss=1.984310 lr=0.014604 Epoch[155] Batch [2049]/[3760] Speed: 96.781343 samples/sec accuracy=53.339939 loss=1.984025 lr=0.014595 Epoch[155] Batch [2099]/[3760] Speed: 96.807321 samples/sec accuracy=53.328125 loss=1.983999 lr=0.014586 Epoch[155] Batch [2149]/[3760] Speed: 97.013029 samples/sec accuracy=53.279070 loss=1.985646 lr=0.014577 Epoch[155] Batch [2199]/[3760] Speed: 93.732928 samples/sec accuracy=53.264915 loss=1.985789 lr=0.014568 Epoch[155] 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accuracy=53.120949 loss=1.991296 lr=0.014477 Epoch[155] Batch [2749]/[3760] Speed: 97.254470 samples/sec accuracy=53.117614 loss=1.991278 lr=0.014468 Epoch[155] Batch [2799]/[3760] Speed: 95.905518 samples/sec accuracy=53.109933 loss=1.992591 lr=0.014459 Epoch[155] Batch [2849]/[3760] Speed: 97.793676 samples/sec accuracy=53.116228 loss=1.991382 lr=0.014450 Epoch[155] Batch [2899]/[3760] Speed: 97.772448 samples/sec accuracy=53.125539 loss=1.991145 lr=0.014441 Epoch[155] Batch [2949]/[3760] Speed: 96.848248 samples/sec accuracy=53.118114 loss=1.991868 lr=0.014431 Epoch[155] Batch [2999]/[3760] Speed: 98.020953 samples/sec accuracy=53.122917 loss=1.991895 lr=0.014422 Epoch[155] Batch [3049]/[3760] Speed: 97.210695 samples/sec accuracy=53.113730 loss=1.992423 lr=0.014413 Epoch[155] Batch [3099]/[3760] Speed: 96.276143 samples/sec accuracy=53.097278 loss=1.992706 lr=0.014404 Epoch[155] Batch [3149]/[3760] Speed: 96.841326 samples/sec accuracy=53.104167 loss=1.992427 lr=0.014395 Epoch[155] Batch [3199]/[3760] Speed: 98.271401 samples/sec accuracy=53.102051 loss=1.992200 lr=0.014386 Epoch[155] Batch [3249]/[3760] Speed: 98.074657 samples/sec accuracy=53.095192 loss=1.992748 lr=0.014377 Epoch[155] Batch [3299]/[3760] Speed: 97.187905 samples/sec accuracy=53.076231 loss=1.993382 lr=0.014368 Epoch[155] Batch [3349]/[3760] Speed: 97.600597 samples/sec accuracy=53.057836 loss=1.994678 lr=0.014359 Epoch[155] Batch [3399]/[3760] Speed: 96.087879 samples/sec accuracy=53.059743 loss=1.994966 lr=0.014350 Epoch[155] Batch [3449]/[3760] Speed: 97.479799 samples/sec accuracy=53.065217 loss=1.994603 lr=0.014341 Epoch[155] Batch [3499]/[3760] Speed: 98.257656 samples/sec accuracy=53.070982 loss=1.994706 lr=0.014332 Epoch[155] Batch [3549]/[3760] Speed: 97.430386 samples/sec accuracy=53.070423 loss=1.995273 lr=0.014323 Epoch[155] Batch [3599]/[3760] Speed: 98.271484 samples/sec accuracy=53.085503 loss=1.995262 lr=0.014314 Epoch[155] Batch [3649]/[3760] Speed: 96.574983 samples/sec accuracy=53.107021 loss=1.994617 lr=0.014305 Epoch[155] Batch [3699]/[3760] Speed: 96.328829 samples/sec accuracy=53.109375 loss=1.994904 lr=0.014296 Epoch[155] Batch [3749]/[3760] Speed: 110.422682 samples/sec accuracy=53.108750 loss=1.995178 lr=0.014287 Batch [0049]/[0303]: acc-top1=53.250000 acc-top5=76.375000 Batch [0099]/[0303]: acc-top1=50.015625 acc-top5=75.031250 Batch [0149]/[0303]: acc-top1=51.406250 acc-top5=75.791667 Batch [0199]/[0303]: acc-top1=54.218750 acc-top5=77.453125 Batch [0249]/[0303]: acc-top1=53.793750 acc-top5=77.337500 Batch [0299]/[0303]: acc-top1=53.109375 acc-top5=77.151042 [Epoch 155] training: accuracy=53.104222 loss=1.995227 [Epoch 155] speed: 96 samples/sec time cost: 2675.709539 [Epoch 155] validation: acc-top1=53.032178 acc-top5=77.140058 loss=2.132568 Epoch[156] Batch [0049]/[3760] Speed: 68.048649 samples/sec accuracy=53.406250 loss=1.936683 lr=0.014276 Epoch[156] Batch [0099]/[3760] Speed: 93.961877 samples/sec accuracy=54.125000 loss=1.917993 lr=0.014267 Epoch[156] Batch [0149]/[3760] Speed: 97.694538 samples/sec accuracy=54.604167 loss=1.928531 lr=0.014258 Epoch[156] Batch [0199]/[3760] Speed: 95.179213 samples/sec accuracy=54.804688 loss=1.911575 lr=0.014249 Epoch[156] Batch [0249]/[3760] Speed: 96.845638 samples/sec accuracy=54.643750 loss=1.924425 lr=0.014240 Epoch[156] Batch [0299]/[3760] Speed: 94.708981 samples/sec accuracy=54.848958 loss=1.920256 lr=0.014231 Epoch[156] Batch [0349]/[3760] Speed: 98.558691 samples/sec accuracy=54.758929 loss=1.922944 lr=0.014222 Epoch[156] Batch [0399]/[3760] Speed: 96.522842 samples/sec accuracy=54.757812 loss=1.928155 lr=0.014213 Epoch[156] Batch [0449]/[3760] Speed: 96.727307 samples/sec accuracy=54.725694 loss=1.924342 lr=0.014204 Epoch[156] Batch [0499]/[3760] Speed: 97.740159 samples/sec accuracy=54.675000 loss=1.924054 lr=0.014195 Epoch[156] Batch [0549]/[3760] Speed: 95.761002 samples/sec accuracy=54.676136 loss=1.924373 lr=0.014186 Epoch[156] Batch [0599]/[3760] Speed: 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lr=0.014096 Epoch[156] Batch [1099]/[3760] Speed: 95.436567 samples/sec accuracy=54.166193 loss=1.951463 lr=0.014087 Epoch[156] Batch [1149]/[3760] Speed: 98.829758 samples/sec accuracy=54.161685 loss=1.950734 lr=0.014078 Epoch[156] Batch [1199]/[3760] Speed: 98.159927 samples/sec accuracy=54.126302 loss=1.952190 lr=0.014069 Epoch[156] Batch [1249]/[3760] Speed: 98.199438 samples/sec accuracy=54.086250 loss=1.954510 lr=0.014060 Epoch[156] Batch [1299]/[3760] Speed: 97.744427 samples/sec accuracy=54.064904 loss=1.954399 lr=0.014051 Epoch[156] Batch [1349]/[3760] Speed: 97.518881 samples/sec accuracy=54.025463 loss=1.955817 lr=0.014042 Epoch[156] Batch [1399]/[3760] Speed: 96.098958 samples/sec accuracy=54.022321 loss=1.957023 lr=0.014033 Epoch[156] Batch [1449]/[3760] Speed: 97.413236 samples/sec accuracy=54.009698 loss=1.957699 lr=0.014024 Epoch[156] Batch [1499]/[3760] Speed: 97.106230 samples/sec accuracy=53.970833 loss=1.958046 lr=0.014015 Epoch[156] Batch [1549]/[3760] Speed: 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lr=0.013926 Epoch[156] Batch [2049]/[3760] Speed: 96.617372 samples/sec accuracy=53.798780 loss=1.965762 lr=0.013917 Epoch[156] Batch [2099]/[3760] Speed: 97.103052 samples/sec accuracy=53.784970 loss=1.966841 lr=0.013908 Epoch[156] Batch [2149]/[3760] Speed: 97.396191 samples/sec accuracy=53.734012 loss=1.968559 lr=0.013899 Epoch[156] Batch [2199]/[3760] Speed: 97.483195 samples/sec accuracy=53.669034 loss=1.971572 lr=0.013890 Epoch[156] Batch [2249]/[3760] Speed: 97.462003 samples/sec accuracy=53.644444 loss=1.972843 lr=0.013881 Epoch[156] Batch [2299]/[3760] Speed: 96.995738 samples/sec accuracy=53.661685 loss=1.971677 lr=0.013872 Epoch[156] Batch [2349]/[3760] Speed: 97.651832 samples/sec accuracy=53.681516 loss=1.970864 lr=0.013863 Epoch[156] Batch [2399]/[3760] Speed: 97.342704 samples/sec accuracy=53.677083 loss=1.970797 lr=0.013854 Epoch[156] Batch [2449]/[3760] Speed: 97.875807 samples/sec accuracy=53.667092 loss=1.971403 lr=0.013846 Epoch[156] Batch [2499]/[3760] Speed: 97.472077 samples/sec accuracy=53.660625 loss=1.972109 lr=0.013837 Epoch[156] Batch [2549]/[3760] Speed: 97.247253 samples/sec accuracy=53.669730 loss=1.972177 lr=0.013828 Epoch[156] Batch [2599]/[3760] Speed: 96.032140 samples/sec accuracy=53.676683 loss=1.972007 lr=0.013819 Epoch[156] Batch [2649]/[3760] Speed: 97.661848 samples/sec accuracy=53.653892 loss=1.972994 lr=0.013810 Epoch[156] Batch [2699]/[3760] Speed: 97.292859 samples/sec accuracy=53.644097 loss=1.973628 lr=0.013801 Epoch[156] Batch [2749]/[3760] Speed: 98.051473 samples/sec accuracy=53.628409 loss=1.974088 lr=0.013792 Epoch[156] Batch [2799]/[3760] Speed: 97.182909 samples/sec accuracy=53.640067 loss=1.973657 lr=0.013783 Epoch[156] Batch [2849]/[3760] Speed: 96.868171 samples/sec accuracy=53.621162 loss=1.974218 lr=0.013774 Epoch[156] Batch [2899]/[3760] Speed: 96.279788 samples/sec accuracy=53.586746 loss=1.975695 lr=0.013765 Epoch[156] Batch [2949]/[3760] Speed: 96.811893 samples/sec accuracy=53.572034 loss=1.975850 lr=0.013757 Epoch[156] Batch [2999]/[3760] Speed: 98.199882 samples/sec accuracy=53.577083 loss=1.975231 lr=0.013748 Epoch[156] Batch [3049]/[3760] Speed: 96.759871 samples/sec accuracy=53.570184 loss=1.975105 lr=0.013739 Epoch[156] Batch [3099]/[3760] Speed: 98.672996 samples/sec accuracy=53.599798 loss=1.974281 lr=0.013730 Epoch[156] Batch [3149]/[3760] Speed: 97.279548 samples/sec accuracy=53.624008 loss=1.973694 lr=0.013721 Epoch[156] Batch [3199]/[3760] Speed: 95.608096 samples/sec accuracy=53.604980 loss=1.974269 lr=0.013712 Epoch[156] Batch [3249]/[3760] Speed: 97.164901 samples/sec accuracy=53.609615 loss=1.974199 lr=0.013703 Epoch[156] Batch [3299]/[3760] Speed: 96.845234 samples/sec accuracy=53.613636 loss=1.974234 lr=0.013694 Epoch[156] Batch [3349]/[3760] Speed: 97.581883 samples/sec accuracy=53.591418 loss=1.975156 lr=0.013686 Epoch[156] Batch [3399]/[3760] Speed: 97.385137 samples/sec accuracy=53.590993 loss=1.975179 lr=0.013677 Epoch[156] Batch [3449]/[3760] Speed: 97.827622 samples/sec accuracy=53.610054 loss=1.974636 lr=0.013668 Epoch[156] Batch [3499]/[3760] Speed: 95.974143 samples/sec accuracy=53.595982 loss=1.975255 lr=0.013659 Epoch[156] Batch [3549]/[3760] Speed: 97.289755 samples/sec accuracy=53.598151 loss=1.975420 lr=0.013650 Epoch[156] Batch [3599]/[3760] Speed: 97.210557 samples/sec accuracy=53.587674 loss=1.975592 lr=0.013641 Epoch[156] Batch [3649]/[3760] Speed: 97.707677 samples/sec accuracy=53.570205 loss=1.976460 lr=0.013632 Epoch[156] Batch [3699]/[3760] Speed: 97.429392 samples/sec accuracy=53.572635 loss=1.976143 lr=0.013624 Epoch[156] Batch [3749]/[3760] Speed: 110.206538 samples/sec accuracy=53.584583 loss=1.976324 lr=0.013615 Batch [0049]/[0303]: acc-top1=54.187500 acc-top5=77.031250 Batch [0099]/[0303]: acc-top1=51.031250 acc-top5=75.781250 Batch [0149]/[0303]: acc-top1=52.583333 acc-top5=76.500000 Batch [0199]/[0303]: acc-top1=54.984375 acc-top5=78.039062 Batch [0249]/[0303]: acc-top1=54.687500 acc-top5=77.868750 Batch [0299]/[0303]: acc-top1=53.739583 acc-top5=77.687500 [Epoch 156] training: accuracy=53.590841 loss=1.976031 [Epoch 156] speed: 96 samples/sec time cost: 2675.867848 [Epoch 156] validation: acc-top1=53.707715 acc-top5=77.666048 loss=2.124465 Epoch[157] Batch [0049]/[3759] Speed: 66.492305 samples/sec accuracy=54.718750 loss=1.930555 lr=0.013604 Epoch[157] Batch [0099]/[3759] Speed: 94.519473 samples/sec accuracy=54.015625 loss=1.927129 lr=0.013595 Epoch[157] Batch [0149]/[3759] Speed: 97.428150 samples/sec accuracy=54.385417 loss=1.934395 lr=0.013586 Epoch[157] Batch [0199]/[3759] Speed: 97.335440 samples/sec accuracy=54.453125 loss=1.933948 lr=0.013578 Epoch[157] Batch [0249]/[3759] Speed: 98.414289 samples/sec accuracy=54.631250 loss=1.932304 lr=0.013569 Epoch[157] Batch [0299]/[3759] Speed: 97.846552 samples/sec accuracy=54.140625 loss=1.950701 lr=0.013560 Epoch[157] Batch [0349]/[3759] Speed: 97.726555 samples/sec accuracy=54.227679 loss=1.949148 lr=0.013551 Epoch[157] Batch 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accuracy=54.158088 loss=1.949979 lr=0.013463 Epoch[157] Batch [0899]/[3759] Speed: 95.760654 samples/sec accuracy=54.208333 loss=1.947830 lr=0.013454 Epoch[157] Batch [0949]/[3759] Speed: 100.980710 samples/sec accuracy=54.199013 loss=1.948469 lr=0.013445 Epoch[157] Batch [0999]/[3759] Speed: 98.110142 samples/sec accuracy=54.198437 loss=1.949432 lr=0.013437 Epoch[157] Batch [1049]/[3759] Speed: 98.072173 samples/sec accuracy=54.242560 loss=1.949663 lr=0.013428 Epoch[157] Batch [1099]/[3759] Speed: 97.670313 samples/sec accuracy=54.232955 loss=1.948167 lr=0.013419 Epoch[157] Batch [1149]/[3759] Speed: 98.445231 samples/sec accuracy=54.097826 loss=1.951931 lr=0.013410 Epoch[157] Batch [1199]/[3759] Speed: 95.490956 samples/sec accuracy=54.108073 loss=1.951684 lr=0.013401 Epoch[157] Batch [1249]/[3759] Speed: 99.902330 samples/sec accuracy=54.100000 loss=1.952367 lr=0.013393 Epoch[157] Batch [1299]/[3759] Speed: 97.274970 samples/sec accuracy=54.127404 loss=1.950616 lr=0.013384 Epoch[157] Batch [1349]/[3759] Speed: 97.736616 samples/sec accuracy=54.057870 loss=1.952677 lr=0.013375 Epoch[157] Batch [1399]/[3759] Speed: 97.744688 samples/sec accuracy=54.032366 loss=1.952300 lr=0.013366 Epoch[157] Batch [1449]/[3759] Speed: 97.367777 samples/sec accuracy=53.985991 loss=1.952584 lr=0.013357 Epoch[157] Batch [1499]/[3759] Speed: 96.698579 samples/sec accuracy=53.989583 loss=1.952304 lr=0.013349 Epoch[157] Batch [1549]/[3759] Speed: 98.665165 samples/sec accuracy=53.981855 loss=1.952867 lr=0.013340 Epoch[157] Batch [1599]/[3759] Speed: 98.836678 samples/sec accuracy=53.984375 loss=1.952363 lr=0.013331 Epoch[157] Batch [1649]/[3759] Speed: 97.612373 samples/sec accuracy=54.026515 loss=1.951666 lr=0.013322 Epoch[157] Batch [1699]/[3759] Speed: 98.450742 samples/sec accuracy=53.988051 loss=1.952926 lr=0.013314 Epoch[157] Batch [1749]/[3759] Speed: 98.275351 samples/sec accuracy=53.953571 loss=1.954080 lr=0.013305 Epoch[157] Batch [1799]/[3759] Speed: 96.177256 samples/sec accuracy=53.968750 loss=1.954022 lr=0.013296 Epoch[157] Batch [1849]/[3759] Speed: 98.771592 samples/sec accuracy=53.983108 loss=1.953726 lr=0.013287 Epoch[157] Batch [1899]/[3759] Speed: 97.828383 samples/sec accuracy=53.981086 loss=1.954106 lr=0.013279 Epoch[157] Batch [1949]/[3759] Speed: 97.755716 samples/sec accuracy=53.985577 loss=1.954642 lr=0.013270 Epoch[157] Batch [1999]/[3759] Speed: 97.281239 samples/sec accuracy=54.005469 loss=1.954175 lr=0.013261 Epoch[157] Batch [2049]/[3759] Speed: 97.919954 samples/sec accuracy=53.981707 loss=1.954655 lr=0.013252 Epoch[157] Batch [2099]/[3759] Speed: 96.029438 samples/sec accuracy=53.964286 loss=1.955063 lr=0.013244 Epoch[157] Batch [2149]/[3759] Speed: 99.212095 samples/sec accuracy=53.946948 loss=1.955432 lr=0.013235 Epoch[157] Batch [2199]/[3759] Speed: 98.450965 samples/sec accuracy=53.921165 loss=1.956894 lr=0.013226 Epoch[157] Batch [2249]/[3759] Speed: 97.167999 samples/sec accuracy=53.900000 loss=1.957293 lr=0.013217 Epoch[157] Batch [2299]/[3759] Speed: 98.518549 samples/sec accuracy=53.938859 loss=1.955984 lr=0.013209 Epoch[157] Batch [2349]/[3759] Speed: 97.850212 samples/sec accuracy=53.967420 loss=1.955319 lr=0.013200 Epoch[157] Batch [2399]/[3759] Speed: 96.028201 samples/sec accuracy=53.964193 loss=1.956434 lr=0.013191 Epoch[157] Batch [2449]/[3759] Speed: 99.095300 samples/sec accuracy=53.949617 loss=1.957335 lr=0.013182 Epoch[157] Batch [2499]/[3759] Speed: 97.843273 samples/sec accuracy=53.940625 loss=1.957160 lr=0.013174 Epoch[157] Batch [2549]/[3759] Speed: 98.402690 samples/sec accuracy=53.954044 loss=1.956515 lr=0.013165 Epoch[157] Batch [2599]/[3759] Speed: 98.319046 samples/sec accuracy=53.980769 loss=1.955606 lr=0.013156 Epoch[157] Batch [2649]/[3759] Speed: 97.201221 samples/sec accuracy=53.962264 loss=1.956466 lr=0.013148 Epoch[157] Batch [2699]/[3759] Speed: 95.888427 samples/sec accuracy=53.916088 loss=1.957323 lr=0.013139 Epoch[157] Batch [2749]/[3759] Speed: 99.307674 samples/sec accuracy=53.900000 loss=1.958244 lr=0.013130 Epoch[157] Batch [2799]/[3759] Speed: 98.041330 samples/sec accuracy=53.882254 loss=1.959056 lr=0.013121 Epoch[157] Batch [2849]/[3759] Speed: 97.933390 samples/sec accuracy=53.898026 loss=1.958771 lr=0.013113 Epoch[157] Batch [2899]/[3759] Speed: 97.935022 samples/sec accuracy=53.907866 loss=1.957913 lr=0.013104 Epoch[157] Batch [2949]/[3759] Speed: 98.016920 samples/sec accuracy=53.896716 loss=1.958496 lr=0.013095 Epoch[157] Batch [2999]/[3759] Speed: 95.811197 samples/sec accuracy=53.913021 loss=1.958162 lr=0.013087 Epoch[157] Batch [3049]/[3759] Speed: 99.227819 samples/sec accuracy=53.902664 loss=1.958818 lr=0.013078 Epoch[157] Batch [3099]/[3759] Speed: 98.453984 samples/sec accuracy=53.893649 loss=1.958536 lr=0.013069 Epoch[157] Batch [3149]/[3759] Speed: 98.221488 samples/sec accuracy=53.894841 loss=1.958225 lr=0.013061 Epoch[157] Batch [3199]/[3759] Speed: 98.343409 samples/sec accuracy=53.889160 loss=1.958696 lr=0.013052 Epoch[157] Batch [3249]/[3759] Speed: 97.904025 samples/sec accuracy=53.884135 loss=1.959301 lr=0.013043 Epoch[157] Batch [3299]/[3759] Speed: 96.588601 samples/sec accuracy=53.873580 loss=1.959408 lr=0.013034 Epoch[157] Batch [3349]/[3759] Speed: 98.958837 samples/sec accuracy=53.885261 loss=1.959330 lr=0.013026 Epoch[157] Batch [3399]/[3759] Speed: 98.583985 samples/sec accuracy=53.874540 loss=1.960409 lr=0.013017 Epoch[157] Batch [3449]/[3759] Speed: 98.049452 samples/sec accuracy=53.913043 loss=1.959418 lr=0.013008 Epoch[157] Batch [3499]/[3759] Speed: 98.409240 samples/sec accuracy=53.925446 loss=1.959267 lr=0.013000 Epoch[157] Batch [3549]/[3759] Speed: 99.278135 samples/sec accuracy=53.948944 loss=1.958760 lr=0.012991 Epoch[157] Batch [3599]/[3759] Speed: 96.212631 samples/sec accuracy=53.953125 loss=1.958430 lr=0.012982 Epoch[157] Batch [3649]/[3759] Speed: 98.868915 samples/sec accuracy=53.960188 loss=1.958305 lr=0.012974 Epoch[157] Batch [3699]/[3759] Speed: 97.720021 samples/sec accuracy=53.956503 loss=1.959573 lr=0.012965 Epoch[157] Batch [3749]/[3759] Speed: 111.263453 samples/sec accuracy=53.955000 loss=1.959749 lr=0.012956 Batch [0049]/[0303]: acc-top1=54.093750 acc-top5=77.125000 Batch [0099]/[0303]: acc-top1=50.859375 acc-top5=75.500000 Batch [0149]/[0303]: acc-top1=52.718750 acc-top5=76.375000 Batch [0199]/[0303]: acc-top1=55.906250 acc-top5=78.421875 Batch [0249]/[0303]: acc-top1=55.056250 acc-top5=78.300000 Batch [0299]/[0303]: acc-top1=54.255208 acc-top5=78.260417 [Epoch 157] training: accuracy=53.955922 loss=1.959747 [Epoch 157] speed: 97 samples/sec time cost: 2659.822745 [Epoch 157] validation: acc-top1=54.197607 acc-top5=78.243606 loss=2.097430 Epoch[158] Batch [0049]/[3760] Speed: 68.052357 samples/sec accuracy=56.343750 loss=1.824874 lr=0.012946 Epoch[158] Batch [0099]/[3760] Speed: 94.063819 samples/sec accuracy=55.421875 loss=1.864494 lr=0.012937 Epoch[158] Batch [0149]/[3760] Speed: 96.565360 samples/sec accuracy=55.291667 loss=1.881299 lr=0.012929 Epoch[158] Batch [0199]/[3760] Speed: 95.291231 samples/sec accuracy=55.507812 loss=1.888882 lr=0.012920 Epoch[158] Batch [0249]/[3760] Speed: 98.164704 samples/sec accuracy=55.387500 loss=1.892746 lr=0.012912 Epoch[158] Batch [0299]/[3760] Speed: 96.607882 samples/sec accuracy=55.369792 loss=1.889907 lr=0.012903 Epoch[158] Batch [0349]/[3760] Speed: 98.298855 samples/sec accuracy=55.169643 loss=1.900271 lr=0.012894 Epoch[158] Batch [0399]/[3760] Speed: 96.686958 samples/sec accuracy=55.210938 loss=1.896100 lr=0.012886 Epoch[158] Batch [0449]/[3760] Speed: 96.353661 samples/sec accuracy=55.170139 loss=1.897587 lr=0.012877 Epoch[158] Batch [0499]/[3760] Speed: 98.652282 samples/sec accuracy=55.100000 loss=1.897658 lr=0.012868 Epoch[158] Batch [0549]/[3760] Speed: 97.742381 samples/sec accuracy=54.988636 loss=1.905623 lr=0.012860 Epoch[158] Batch [0599]/[3760] Speed: 97.527639 samples/sec accuracy=54.937500 loss=1.910044 lr=0.012851 Epoch[158] Batch [0649]/[3760] Speed: 98.191704 samples/sec accuracy=54.923077 loss=1.908897 lr=0.012842 Epoch[158] Batch [0699]/[3760] Speed: 97.505246 samples/sec accuracy=54.910714 loss=1.911754 lr=0.012834 Epoch[158] Batch [0749]/[3760] Speed: 96.430565 samples/sec accuracy=54.847917 loss=1.912717 lr=0.012825 Epoch[158] Batch [0799]/[3760] Speed: 96.289311 samples/sec accuracy=54.804688 loss=1.914147 lr=0.012817 Epoch[158] Batch [0849]/[3760] Speed: 97.737755 samples/sec accuracy=54.761029 loss=1.915874 lr=0.012808 Epoch[158] Batch [0899]/[3760] Speed: 97.800105 samples/sec accuracy=54.732639 loss=1.918523 lr=0.012799 Epoch[158] Batch [0949]/[3760] Speed: 97.769632 samples/sec accuracy=54.718750 loss=1.917631 lr=0.012791 Epoch[158] Batch [0999]/[3760] Speed: 96.722026 samples/sec accuracy=54.679687 loss=1.919892 lr=0.012782 Epoch[158] Batch [1049]/[3760] Speed: 96.765279 samples/sec accuracy=54.724702 loss=1.917413 lr=0.012773 Epoch[158] Batch [1099]/[3760] Speed: 97.636198 samples/sec accuracy=54.644886 loss=1.919226 lr=0.012765 Epoch[158] Batch [1149]/[3760] Speed: 97.599739 samples/sec accuracy=54.713315 loss=1.918325 lr=0.012756 Epoch[158] Batch [1199]/[3760] Speed: 97.895265 samples/sec accuracy=54.649740 loss=1.919614 lr=0.012748 Epoch[158] Batch [1249]/[3760] Speed: 97.607480 samples/sec accuracy=54.590000 loss=1.921317 lr=0.012739 Epoch[158] Batch [1299]/[3760] Speed: 98.053402 samples/sec accuracy=54.610577 loss=1.922566 lr=0.012730 Epoch[158] Batch [1349]/[3760] Speed: 96.086931 samples/sec accuracy=54.603009 loss=1.921887 lr=0.012722 Epoch[158] Batch [1399]/[3760] Speed: 97.412124 samples/sec accuracy=54.582589 loss=1.923955 lr=0.012713 Epoch[158] Batch [1449]/[3760] Speed: 96.696334 samples/sec accuracy=54.572198 loss=1.923568 lr=0.012705 Epoch[158] Batch [1499]/[3760] Speed: 97.672069 samples/sec accuracy=54.542708 loss=1.924761 lr=0.012696 Epoch[158] Batch [1549]/[3760] Speed: 97.528168 samples/sec accuracy=54.541331 loss=1.924682 lr=0.012687 Epoch[158] Batch [1599]/[3760] Speed: 97.424615 samples/sec accuracy=54.558594 loss=1.924330 lr=0.012679 Epoch[158] Batch [1649]/[3760] Speed: 96.648228 samples/sec accuracy=54.570076 loss=1.924163 lr=0.012670 Epoch[158] Batch [1699]/[3760] Speed: 97.141516 samples/sec accuracy=54.534926 loss=1.926593 lr=0.012662 Epoch[158] Batch [1749]/[3760] Speed: 97.301782 samples/sec accuracy=54.528571 loss=1.926998 lr=0.012653 Epoch[158] Batch [1799]/[3760] Speed: 96.958485 samples/sec accuracy=54.562500 loss=1.924565 lr=0.012645 Epoch[158] Batch [1849]/[3760] Speed: 97.521251 samples/sec accuracy=54.535473 loss=1.924879 lr=0.012636 Epoch[158] Batch [1899]/[3760] Speed: 96.795341 samples/sec accuracy=54.511513 loss=1.926418 lr=0.012627 Epoch[158] Batch [1949]/[3760] Speed: 95.877065 samples/sec accuracy=54.514423 loss=1.926572 lr=0.012619 Epoch[158] Batch [1999]/[3760] Speed: 98.563099 samples/sec accuracy=54.517187 loss=1.927368 lr=0.012610 Epoch[158] Batch [2049]/[3760] Speed: 97.179509 samples/sec accuracy=54.514482 loss=1.928130 lr=0.012602 Epoch[158] Batch [2099]/[3760] Speed: 96.992180 samples/sec accuracy=54.493304 loss=1.928596 lr=0.012593 Epoch[158] Batch [2149]/[3760] Speed: 97.310130 samples/sec accuracy=54.502907 loss=1.928584 lr=0.012585 Epoch[158] Batch [2199]/[3760] Speed: 97.672244 samples/sec accuracy=54.517045 loss=1.928380 lr=0.012576 Epoch[158] Batch [2249]/[3760] Speed: 94.840749 samples/sec accuracy=54.516667 loss=1.927749 lr=0.012568 Epoch[158] Batch [2299]/[3760] Speed: 97.754333 samples/sec accuracy=54.498641 loss=1.928440 lr=0.012559 Epoch[158] Batch [2349]/[3760] Speed: 97.135348 samples/sec accuracy=54.455452 loss=1.929688 lr=0.012550 Epoch[158] Batch [2399]/[3760] Speed: 97.461320 samples/sec accuracy=54.420573 loss=1.930907 lr=0.012542 Epoch[158] Batch [2449]/[3760] Speed: 97.423423 samples/sec accuracy=54.406888 loss=1.930980 lr=0.012533 Epoch[158] Batch [2499]/[3760] Speed: 97.357520 samples/sec accuracy=54.397500 loss=1.931781 lr=0.012525 Epoch[158] Batch [2549]/[3760] Speed: 96.378768 samples/sec accuracy=54.400123 loss=1.931760 lr=0.012516 Epoch[158] Batch [2599]/[3760] Speed: 96.959177 samples/sec accuracy=54.375000 loss=1.932172 lr=0.012508 Epoch[158] Batch [2649]/[3760] Speed: 98.087585 samples/sec accuracy=54.349646 loss=1.933683 lr=0.012499 Epoch[158] Batch [2699]/[3760] Speed: 97.873838 samples/sec accuracy=54.364583 loss=1.932678 lr=0.012491 Epoch[158] Batch [2749]/[3760] Speed: 96.627492 samples/sec accuracy=54.317614 loss=1.934361 lr=0.012482 Epoch[158] Batch [2799]/[3760] Speed: 96.624169 samples/sec accuracy=54.303013 loss=1.934589 lr=0.012474 Epoch[158] Batch [2849]/[3760] Speed: 96.786565 samples/sec accuracy=54.302632 loss=1.934789 lr=0.012465 Epoch[158] Batch [2899]/[3760] Speed: 97.373428 samples/sec accuracy=54.287716 loss=1.935210 lr=0.012457 Epoch[158] Batch [2949]/[3760] Speed: 96.865362 samples/sec accuracy=54.282839 loss=1.935826 lr=0.012448 Epoch[158] Batch [2999]/[3760] Speed: 97.156789 samples/sec accuracy=54.294271 loss=1.936093 lr=0.012440 Epoch[158] Batch [3049]/[3760] Speed: 96.934522 samples/sec accuracy=54.282787 loss=1.936373 lr=0.012431 Epoch[158] Batch [3099]/[3760] Speed: 97.860536 samples/sec accuracy=54.276714 loss=1.936105 lr=0.012423 Epoch[158] Batch [3149]/[3760] Speed: 95.075486 samples/sec accuracy=54.269345 loss=1.936438 lr=0.012414 Epoch[158] Batch [3199]/[3760] Speed: 97.341053 samples/sec accuracy=54.285645 loss=1.936319 lr=0.012406 Epoch[158] Batch [3249]/[3760] Speed: 97.086765 samples/sec accuracy=54.296154 loss=1.936503 lr=0.012397 Epoch[158] Batch [3299]/[3760] Speed: 97.289664 samples/sec accuracy=54.278409 loss=1.936905 lr=0.012389 Epoch[158] Batch [3349]/[3760] Speed: 97.060550 samples/sec accuracy=54.265858 loss=1.937455 lr=0.012380 Epoch[158] Batch [3399]/[3760] Speed: 97.582104 samples/sec accuracy=54.236213 loss=1.938782 lr=0.012372 Epoch[158] Batch [3449]/[3760] Speed: 96.176047 samples/sec accuracy=54.229167 loss=1.939682 lr=0.012363 Epoch[158] Batch [3499]/[3760] Speed: 97.135889 samples/sec accuracy=54.232589 loss=1.939587 lr=0.012355 Epoch[158] Batch [3549]/[3760] Speed: 97.526456 samples/sec accuracy=54.239437 loss=1.939498 lr=0.012346 Epoch[158] Batch [3599]/[3760] Speed: 96.944468 samples/sec accuracy=54.219618 loss=1.940095 lr=0.012338 Epoch[158] Batch [3649]/[3760] Speed: 97.521402 samples/sec accuracy=54.225599 loss=1.939855 lr=0.012329 Epoch[158] Batch [3699]/[3760] Speed: 97.639330 samples/sec accuracy=54.209459 loss=1.940952 lr=0.012321 Epoch[158] Batch [3749]/[3760] Speed: 107.701705 samples/sec accuracy=54.215417 loss=1.940561 lr=0.012312 Batch [0049]/[0303]: acc-top1=53.875000 acc-top5=76.093750 Batch [0099]/[0303]: acc-top1=51.218750 acc-top5=75.156250 Batch [0149]/[0303]: acc-top1=53.052083 acc-top5=76.041667 Batch [0199]/[0303]: acc-top1=55.320312 acc-top5=77.796875 Batch [0249]/[0303]: acc-top1=54.593750 acc-top5=77.743750 Batch [0299]/[0303]: acc-top1=54.098958 acc-top5=77.635417 [Epoch 158] training: accuracy=54.214594 loss=1.940553 [Epoch 158] speed: 96 samples/sec time cost: 2679.638954 [Epoch 158] validation: acc-top1=54.017120 acc-top5=77.614480 loss=2.139058 Epoch[159] Batch [0049]/[3760] Speed: 67.647628 samples/sec accuracy=55.875000 loss=1.899432 lr=0.012302 Epoch[159] Batch [0099]/[3760] Speed: 94.642583 samples/sec accuracy=55.343750 loss=1.913863 lr=0.012293 Epoch[159] Batch [0149]/[3760] Speed: 97.431130 samples/sec accuracy=55.239583 loss=1.914624 lr=0.012285 Epoch[159] Batch [0199]/[3760] Speed: 95.529542 samples/sec accuracy=55.117188 loss=1.913403 lr=0.012277 Epoch[159] Batch [0249]/[3760] Speed: 94.704813 samples/sec accuracy=55.231250 loss=1.912635 lr=0.012268 Epoch[159] Batch [0299]/[3760] Speed: 98.231450 samples/sec accuracy=55.239583 loss=1.909830 lr=0.012260 Epoch[159] Batch [0349]/[3760] Speed: 97.501726 samples/sec accuracy=55.419643 loss=1.900326 lr=0.012251 Epoch[159] Batch [0399]/[3760] Speed: 98.160273 samples/sec accuracy=55.394531 loss=1.899472 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lr=0.012083 Epoch[159] Batch [1399]/[3760] Speed: 97.597669 samples/sec accuracy=55.099330 loss=1.898353 lr=0.012074 Epoch[159] Batch [1449]/[3760] Speed: 96.741035 samples/sec accuracy=55.093750 loss=1.899755 lr=0.012066 Epoch[159] Batch [1499]/[3760] Speed: 95.736812 samples/sec accuracy=55.013542 loss=1.901394 lr=0.012057 Epoch[159] Batch [1549]/[3760] Speed: 96.312335 samples/sec accuracy=54.997984 loss=1.902826 lr=0.012049 Epoch[159] Batch [1599]/[3760] Speed: 98.914904 samples/sec accuracy=55.026367 loss=1.902980 lr=0.012041 Epoch[159] Batch [1649]/[3760] Speed: 97.673680 samples/sec accuracy=55.041667 loss=1.902261 lr=0.012032 Epoch[159] Batch [1699]/[3760] Speed: 97.208846 samples/sec accuracy=55.017463 loss=1.904006 lr=0.012024 Epoch[159] Batch [1749]/[3760] Speed: 98.103734 samples/sec accuracy=55.035714 loss=1.903818 lr=0.012015 Epoch[159] Batch [1799]/[3760] Speed: 95.870149 samples/sec accuracy=55.079861 loss=1.902275 lr=0.012007 Epoch[159] Batch [1849]/[3760] Speed: 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lr=0.011923 Epoch[159] Batch [2349]/[3760] Speed: 96.842613 samples/sec accuracy=55.022606 loss=1.907482 lr=0.011915 Epoch[159] Batch [2399]/[3760] Speed: 96.656805 samples/sec accuracy=55.038411 loss=1.907211 lr=0.011907 Epoch[159] Batch [2449]/[3760] Speed: 97.058067 samples/sec accuracy=55.082270 loss=1.905908 lr=0.011898 Epoch[159] Batch [2499]/[3760] Speed: 97.815256 samples/sec accuracy=55.070625 loss=1.905569 lr=0.011890 Epoch[159] Batch [2549]/[3760] Speed: 97.131433 samples/sec accuracy=55.122549 loss=1.904977 lr=0.011881 Epoch[159] Batch [2599]/[3760] Speed: 97.670485 samples/sec accuracy=55.103966 loss=1.905442 lr=0.011873 Epoch[159] Batch [2649]/[3760] Speed: 97.112063 samples/sec accuracy=55.092571 loss=1.905982 lr=0.011865 Epoch[159] Batch [2699]/[3760] Speed: 96.139965 samples/sec accuracy=55.065394 loss=1.906220 lr=0.011856 Epoch[159] Batch [2749]/[3760] Speed: 97.419222 samples/sec accuracy=55.076136 loss=1.905490 lr=0.011848 Epoch[159] Batch [2799]/[3760] Speed: 97.049341 samples/sec accuracy=55.025112 loss=1.907130 lr=0.011840 Epoch[159] Batch [2849]/[3760] Speed: 97.008876 samples/sec accuracy=54.995066 loss=1.908150 lr=0.011831 Epoch[159] Batch [2899]/[3760] Speed: 96.378114 samples/sec accuracy=54.994612 loss=1.908486 lr=0.011823 Epoch[159] Batch [2949]/[3760] Speed: 97.917113 samples/sec accuracy=54.986229 loss=1.909227 lr=0.011815 Epoch[159] Batch [2999]/[3760] Speed: 95.513790 samples/sec accuracy=54.980208 loss=1.909587 lr=0.011806 Epoch[159] Batch [3049]/[3760] Speed: 97.857631 samples/sec accuracy=54.954918 loss=1.910540 lr=0.011798 Epoch[159] Batch [3099]/[3760] Speed: 97.009689 samples/sec accuracy=54.948589 loss=1.910442 lr=0.011790 Epoch[159] Batch [3149]/[3760] Speed: 97.150809 samples/sec accuracy=54.930556 loss=1.911001 lr=0.011782 Epoch[159] Batch [3199]/[3760] Speed: 97.393950 samples/sec accuracy=54.916016 loss=1.911629 lr=0.011773 Epoch[159] Batch [3249]/[3760] Speed: 96.972529 samples/sec accuracy=54.909135 loss=1.912044 lr=0.011765 Epoch[159] Batch [3299]/[3760] Speed: 96.191775 samples/sec accuracy=54.875000 loss=1.913438 lr=0.011757 Epoch[159] Batch [3349]/[3760] Speed: 98.333876 samples/sec accuracy=54.895056 loss=1.912691 lr=0.011748 Epoch[159] Batch [3399]/[3760] Speed: 97.647305 samples/sec accuracy=54.876379 loss=1.912894 lr=0.011740 Epoch[159] Batch [3449]/[3760] Speed: 96.792915 samples/sec accuracy=54.876359 loss=1.912767 lr=0.011732 Epoch[159] Batch [3499]/[3760] Speed: 97.530804 samples/sec accuracy=54.860714 loss=1.913592 lr=0.011723 Epoch[159] Batch [3549]/[3760] Speed: 97.205737 samples/sec accuracy=54.836708 loss=1.914135 lr=0.011715 Epoch[159] Batch [3599]/[3760] Speed: 96.282852 samples/sec accuracy=54.830295 loss=1.914400 lr=0.011707 Epoch[159] Batch [3649]/[3760] Speed: 97.909332 samples/sec accuracy=54.815925 loss=1.914803 lr=0.011698 Epoch[159] Batch [3699]/[3760] Speed: 98.014652 samples/sec accuracy=54.827703 loss=1.914055 lr=0.011690 Epoch[159] Batch [3749]/[3760] Speed: 108.017681 samples/sec accuracy=54.820417 loss=1.914645 lr=0.011682 Batch [0049]/[0303]: acc-top1=55.218750 acc-top5=77.781250 Batch [0099]/[0303]: acc-top1=52.953125 acc-top5=76.828125 Batch [0149]/[0303]: acc-top1=53.875000 acc-top5=77.125000 Batch [0199]/[0303]: acc-top1=56.437500 acc-top5=78.726562 Batch [0249]/[0303]: acc-top1=55.612500 acc-top5=78.443750 Batch [0299]/[0303]: acc-top1=54.880208 acc-top5=78.380208 [Epoch 159] training: accuracy=54.816323 loss=1.914606 [Epoch 159] speed: 96 samples/sec time cost: 2677.624850 [Epoch 159] validation: acc-top1=54.780322 acc-top5=78.377682 loss=2.079742 Epoch[160] Batch [0049]/[3759] Speed: 67.619466 samples/sec accuracy=54.468750 loss=1.907257 lr=0.011672 Epoch[160] Batch [0099]/[3759] Speed: 91.846253 samples/sec accuracy=55.359375 loss=1.880319 lr=0.011664 Epoch[160] Batch [0149]/[3759] Speed: 98.277183 samples/sec accuracy=55.312500 loss=1.877219 lr=0.011655 Epoch[160] Batch [0199]/[3759] Speed: 95.547703 samples/sec accuracy=55.523437 loss=1.867202 lr=0.011647 Epoch[160] Batch [0249]/[3759] Speed: 97.985355 samples/sec accuracy=55.412500 loss=1.868324 lr=0.011639 Epoch[160] Batch [0299]/[3759] Speed: 96.812043 samples/sec accuracy=55.401042 loss=1.874088 lr=0.011631 Epoch[160] Batch [0349]/[3759] Speed: 98.257198 samples/sec accuracy=55.508929 loss=1.867507 lr=0.011622 Epoch[160] Batch [0399]/[3759] Speed: 94.324203 samples/sec accuracy=55.488281 loss=1.870857 lr=0.011614 Epoch[160] Batch [0449]/[3759] Speed: 98.013666 samples/sec accuracy=55.652778 loss=1.870046 lr=0.011606 Epoch[160] Batch [0499]/[3759] Speed: 97.907696 samples/sec accuracy=55.668750 loss=1.871920 lr=0.011598 Epoch[160] Batch [0549]/[3759] Speed: 98.056984 samples/sec accuracy=55.644886 loss=1.871401 lr=0.011589 Epoch[160] Batch [0599]/[3759] Speed: 98.832019 samples/sec accuracy=55.645833 loss=1.868270 lr=0.011581 Epoch[160] Batch [0649]/[3759] Speed: 97.074890 samples/sec accuracy=55.653846 loss=1.867967 lr=0.011573 Epoch[160] Batch [0699]/[3759] Speed: 94.483701 samples/sec accuracy=55.660714 loss=1.869679 lr=0.011565 Epoch[160] Batch [0749]/[3759] Speed: 99.714132 samples/sec accuracy=55.610417 loss=1.874822 lr=0.011556 Epoch[160] Batch [0799]/[3759] Speed: 97.361146 samples/sec accuracy=55.541016 loss=1.879036 lr=0.011548 Epoch[160] Batch [0849]/[3759] Speed: 97.847347 samples/sec accuracy=55.584559 loss=1.877034 lr=0.011540 Epoch[160] Batch [0899]/[3759] Speed: 98.426178 samples/sec accuracy=55.538194 loss=1.877579 lr=0.011532 Epoch[160] Batch [0949]/[3759] Speed: 97.441836 samples/sec accuracy=55.539474 loss=1.876716 lr=0.011523 Epoch[160] Batch [0999]/[3759] Speed: 93.512217 samples/sec accuracy=55.510938 loss=1.878328 lr=0.011515 Epoch[160] Batch [1049]/[3759] Speed: 99.914291 samples/sec accuracy=55.500000 loss=1.880312 lr=0.011507 Epoch[160] Batch [1099]/[3759] Speed: 97.057270 samples/sec accuracy=55.573864 loss=1.877503 lr=0.011499 Epoch[160] Batch [1149]/[3759] Speed: 97.130262 samples/sec accuracy=55.581522 loss=1.879798 lr=0.011490 Epoch[160] Batch [1199]/[3759] Speed: 97.759903 samples/sec accuracy=55.592448 loss=1.880341 lr=0.011482 Epoch[160] Batch [1249]/[3759] Speed: 97.320720 samples/sec accuracy=55.655000 loss=1.879046 lr=0.011474 Epoch[160] Batch [1299]/[3759] Speed: 97.658612 samples/sec accuracy=55.646635 loss=1.878603 lr=0.011466 Epoch[160] Batch [1349]/[3759] Speed: 96.127013 samples/sec accuracy=55.584491 loss=1.880659 lr=0.011457 Epoch[160] Batch [1399]/[3759] Speed: 97.607059 samples/sec accuracy=55.526786 loss=1.881937 lr=0.011449 Epoch[160] Batch [1449]/[3759] Speed: 97.778871 samples/sec accuracy=55.492457 loss=1.883715 lr=0.011441 Epoch[160] Batch [1499]/[3759] Speed: 97.352335 samples/sec accuracy=55.527083 loss=1.881371 lr=0.011433 Epoch[160] Batch [1549]/[3759] Speed: 99.131723 samples/sec accuracy=55.497984 loss=1.881822 lr=0.011425 Epoch[160] Batch [1599]/[3759] Speed: 97.281613 samples/sec accuracy=55.477539 loss=1.883133 lr=0.011416 Epoch[160] Batch [1649]/[3759] Speed: 95.998108 samples/sec accuracy=55.503788 loss=1.882045 lr=0.011408 Epoch[160] Batch [1699]/[3759] Speed: 97.079596 samples/sec accuracy=55.473346 loss=1.883411 lr=0.011400 Epoch[160] Batch [1749]/[3759] Speed: 97.210122 samples/sec accuracy=55.457143 loss=1.883743 lr=0.011392 Epoch[160] Batch [1799]/[3759] Speed: 97.938566 samples/sec accuracy=55.449653 loss=1.883809 lr=0.011384 Epoch[160] Batch [1849]/[3759] Speed: 98.104463 samples/sec accuracy=55.443412 loss=1.884790 lr=0.011375 Epoch[160] Batch [1899]/[3759] Speed: 97.360080 samples/sec accuracy=55.450658 loss=1.884669 lr=0.011367 Epoch[160] Batch [1949]/[3759] Speed: 95.857940 samples/sec accuracy=55.467949 loss=1.883051 lr=0.011359 Epoch[160] Batch [1999]/[3759] Speed: 97.334708 samples/sec accuracy=55.460156 loss=1.883806 lr=0.011351 Epoch[160] Batch [2049]/[3759] Speed: 97.953551 samples/sec accuracy=55.440549 loss=1.883215 lr=0.011343 Epoch[160] Batch [2099]/[3759] Speed: 97.478403 samples/sec accuracy=55.415923 loss=1.883968 lr=0.011335 Epoch[160] Batch [2149]/[3759] Speed: 97.608330 samples/sec accuracy=55.380814 loss=1.885898 lr=0.011326 Epoch[160] Batch [2199]/[3759] Speed: 97.456429 samples/sec accuracy=55.428267 loss=1.884280 lr=0.011318 Epoch[160] Batch [2249]/[3759] Speed: 96.183883 samples/sec accuracy=55.420139 loss=1.884432 lr=0.011310 Epoch[160] Batch [2299]/[3759] Speed: 97.245195 samples/sec accuracy=55.394022 loss=1.886639 lr=0.011302 Epoch[160] Batch [2349]/[3759] Speed: 97.174022 samples/sec accuracy=55.391622 loss=1.886016 lr=0.011294 Epoch[160] Batch [2399]/[3759] Speed: 97.217987 samples/sec accuracy=55.396484 loss=1.886228 lr=0.011286 Epoch[160] Batch [2449]/[3759] Speed: 97.424698 samples/sec accuracy=55.408163 loss=1.885068 lr=0.011277 Epoch[160] Batch [2499]/[3759] Speed: 97.647335 samples/sec accuracy=55.375625 loss=1.885520 lr=0.011269 Epoch[160] Batch [2549]/[3759] Speed: 95.470602 samples/sec accuracy=55.381740 loss=1.885652 lr=0.011261 Epoch[160] Batch [2599]/[3759] Speed: 98.438250 samples/sec accuracy=55.392428 loss=1.885768 lr=0.011253 Epoch[160] Batch [2649]/[3759] Speed: 96.787163 samples/sec accuracy=55.396816 loss=1.885973 lr=0.011245 Epoch[160] Batch [2699]/[3759] Speed: 97.458314 samples/sec accuracy=55.386574 loss=1.886702 lr=0.011237 Epoch[160] Batch [2749]/[3759] Speed: 97.314507 samples/sec accuracy=55.406250 loss=1.885853 lr=0.011228 Epoch[160] Batch [2799]/[3759] Speed: 97.405719 samples/sec accuracy=55.381138 loss=1.886826 lr=0.011220 Epoch[160] Batch [2849]/[3759] Speed: 96.232683 samples/sec accuracy=55.381579 loss=1.887152 lr=0.011212 Epoch[160] Batch [2899]/[3759] Speed: 97.895928 samples/sec accuracy=55.360453 loss=1.887631 lr=0.011204 Epoch[160] Batch [2949]/[3759] Speed: 97.124011 samples/sec accuracy=55.351695 loss=1.887393 lr=0.011196 Epoch[160] Batch [2999]/[3759] Speed: 97.447893 samples/sec accuracy=55.337500 loss=1.887956 lr=0.011188 Epoch[160] Batch [3049]/[3759] Speed: 97.784844 samples/sec accuracy=55.321209 loss=1.888563 lr=0.011180 Epoch[160] Batch [3099]/[3759] Speed: 97.796337 samples/sec accuracy=55.324093 loss=1.888233 lr=0.011172 Epoch[160] Batch [3149]/[3759] Speed: 95.976951 samples/sec accuracy=55.308532 loss=1.888745 lr=0.011163 Epoch[160] Batch [3199]/[3759] Speed: 96.938630 samples/sec accuracy=55.283691 loss=1.888848 lr=0.011155 Epoch[160] Batch [3249]/[3759] Speed: 97.365382 samples/sec accuracy=55.287019 loss=1.889406 lr=0.011147 Epoch[160] Batch [3299]/[3759] Speed: 97.461175 samples/sec accuracy=55.279356 loss=1.889825 lr=0.011139 Epoch[160] Batch [3349]/[3759] Speed: 97.833259 samples/sec accuracy=55.254198 loss=1.891216 lr=0.011131 Epoch[160] Batch [3399]/[3759] Speed: 97.609089 samples/sec accuracy=55.254596 loss=1.890944 lr=0.011123 Epoch[160] Batch [3449]/[3759] Speed: 95.842776 samples/sec accuracy=55.250000 loss=1.891498 lr=0.011115 Epoch[160] Batch [3499]/[3759] Speed: 97.364722 samples/sec accuracy=55.233929 loss=1.891795 lr=0.011107 Epoch[160] Batch [3549]/[3759] Speed: 97.583011 samples/sec accuracy=55.216549 loss=1.892425 lr=0.011098 Epoch[160] Batch [3599]/[3759] Speed: 97.463817 samples/sec accuracy=55.213976 loss=1.892213 lr=0.011090 Epoch[160] Batch [3649]/[3759] Speed: 97.400162 samples/sec accuracy=55.208476 loss=1.892829 lr=0.011082 Epoch[160] Batch [3699]/[3759] Speed: 97.044711 samples/sec accuracy=55.201014 loss=1.893510 lr=0.011074 Epoch[160] Batch [3749]/[3759] Speed: 107.772864 samples/sec accuracy=55.176250 loss=1.894857 lr=0.011066 Batch [0049]/[0303]: acc-top1=53.218750 acc-top5=77.375000 Batch [0099]/[0303]: acc-top1=51.328125 acc-top5=75.843750 Batch [0149]/[0303]: acc-top1=52.802083 acc-top5=76.635417 Batch [0199]/[0303]: acc-top1=55.632812 acc-top5=78.234375 Batch [0249]/[0303]: acc-top1=54.925000 acc-top5=78.137500 Batch [0299]/[0303]: acc-top1=54.364583 acc-top5=78.078125 [Epoch 160] training: accuracy=55.182562 loss=1.894841 [Epoch 160] speed: 96 samples/sec time cost: 2675.263484 [Epoch 160] validation: acc-top1=54.321370 acc-top5=78.094059 loss=2.058084 Epoch[161] Batch [0049]/[3760] Speed: 66.742358 samples/sec accuracy=56.937500 loss=1.789646 lr=0.011057 Epoch[161] Batch [0099]/[3760] Speed: 94.960699 samples/sec accuracy=57.218750 loss=1.813556 lr=0.011048 Epoch[161] Batch [0149]/[3760] Speed: 97.822154 samples/sec accuracy=56.718750 loss=1.831675 lr=0.011040 Epoch[161] Batch [0199]/[3760] Speed: 95.970630 samples/sec accuracy=56.546875 loss=1.821515 lr=0.011032 Epoch[161] Batch [0249]/[3760] Speed: 98.204743 samples/sec accuracy=56.137500 loss=1.840548 lr=0.011024 Epoch[161] Batch [0299]/[3760] Speed: 95.290078 samples/sec accuracy=55.937500 loss=1.851901 lr=0.011016 Epoch[161] Batch [0349]/[3760] Speed: 98.211913 samples/sec accuracy=56.129464 loss=1.847424 lr=0.011008 Epoch[161] Batch [0399]/[3760] Speed: 96.707133 samples/sec accuracy=56.269531 loss=1.841653 lr=0.011000 Epoch[161] Batch [0449]/[3760] Speed: 96.645749 samples/sec accuracy=55.888889 loss=1.854089 lr=0.010992 Epoch[161] Batch [0499]/[3760] Speed: 97.520541 samples/sec accuracy=55.746875 loss=1.856767 lr=0.010984 Epoch[161] Batch [0549]/[3760] Speed: 96.827539 samples/sec accuracy=55.673295 loss=1.857957 lr=0.010976 Epoch[161] Batch [0599]/[3760] Speed: 96.234410 samples/sec accuracy=55.671875 loss=1.856276 lr=0.010968 Epoch[161] Batch [0649]/[3760] Speed: 97.007752 samples/sec accuracy=55.733173 loss=1.854418 lr=0.010960 Epoch[161] Batch [0699]/[3760] Speed: 98.089596 samples/sec accuracy=55.801339 loss=1.855372 lr=0.010952 Epoch[161] Batch [0749]/[3760] Speed: 97.299076 samples/sec accuracy=55.764583 loss=1.858413 lr=0.010944 Epoch[161] Batch [0799]/[3760] Speed: 97.225560 samples/sec accuracy=55.675781 loss=1.860107 lr=0.010935 Epoch[161] Batch [0849]/[3760] Speed: 97.863693 samples/sec accuracy=55.718750 loss=1.858316 lr=0.010927 Epoch[161] Batch [0899]/[3760] Speed: 96.030957 samples/sec accuracy=55.737847 loss=1.857797 lr=0.010919 Epoch[161] Batch [0949]/[3760] Speed: 98.470782 samples/sec accuracy=55.671053 loss=1.859563 lr=0.010911 Epoch[161] Batch [0999]/[3760] Speed: 97.047824 samples/sec accuracy=55.637500 loss=1.860962 lr=0.010903 Epoch[161] Batch [1049]/[3760] Speed: 98.733887 samples/sec accuracy=55.657738 loss=1.860030 lr=0.010895 Epoch[161] Batch [1099]/[3760] Speed: 96.692739 samples/sec accuracy=55.657670 loss=1.861160 lr=0.010887 Epoch[161] Batch [1149]/[3760] Speed: 97.957478 samples/sec accuracy=55.646739 loss=1.862971 lr=0.010879 Epoch[161] Batch [1199]/[3760] Speed: 94.578315 samples/sec accuracy=55.661458 loss=1.863083 lr=0.010871 Epoch[161] Batch [1249]/[3760] Speed: 98.364506 samples/sec accuracy=55.708750 loss=1.861383 lr=0.010863 Epoch[161] Batch [1299]/[3760] Speed: 98.116693 samples/sec accuracy=55.622596 loss=1.864858 lr=0.010855 Epoch[161] Batch [1349]/[3760] Speed: 97.052549 samples/sec accuracy=55.687500 loss=1.862159 lr=0.010847 Epoch[161] Batch [1399]/[3760] Speed: 97.409896 samples/sec accuracy=55.675223 loss=1.863668 lr=0.010839 Epoch[161] Batch [1449]/[3760] Speed: 97.255084 samples/sec accuracy=55.713362 loss=1.862382 lr=0.010831 Epoch[161] Batch [1499]/[3760] Speed: 97.609166 samples/sec accuracy=55.729167 loss=1.863006 lr=0.010823 Epoch[161] Batch [1549]/[3760] Speed: 96.045201 samples/sec accuracy=55.741935 loss=1.863415 lr=0.010815 Epoch[161] Batch [1599]/[3760] Speed: 96.895744 samples/sec accuracy=55.745117 loss=1.864047 lr=0.010807 Epoch[161] Batch [1649]/[3760] Speed: 97.671131 samples/sec accuracy=55.785038 loss=1.862855 lr=0.010799 Epoch[161] Batch [1699]/[3760] Speed: 97.040114 samples/sec accuracy=55.774816 loss=1.863019 lr=0.010791 Epoch[161] Batch [1749]/[3760] Speed: 97.201531 samples/sec accuracy=55.737500 loss=1.865535 lr=0.010783 Epoch[161] Batch [1799]/[3760] Speed: 97.167236 samples/sec accuracy=55.723090 loss=1.865083 lr=0.010775 Epoch[161] Batch [1849]/[3760] Speed: 96.030083 samples/sec accuracy=55.738176 loss=1.865547 lr=0.010767 Epoch[161] Batch [1899]/[3760] Speed: 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lr=0.010687 Epoch[161] Batch [2399]/[3760] Speed: 97.291503 samples/sec accuracy=55.634115 loss=1.871290 lr=0.010679 Epoch[161] Batch [2449]/[3760] Speed: 95.730126 samples/sec accuracy=55.645408 loss=1.870695 lr=0.010671 Epoch[161] Batch [2499]/[3760] Speed: 96.723344 samples/sec accuracy=55.656875 loss=1.870434 lr=0.010663 Epoch[161] Batch [2549]/[3760] Speed: 97.407672 samples/sec accuracy=55.668505 loss=1.870406 lr=0.010655 Epoch[161] Batch [2599]/[3760] Speed: 97.534828 samples/sec accuracy=55.638822 loss=1.871286 lr=0.010647 Epoch[161] Batch [2649]/[3760] Speed: 97.741962 samples/sec accuracy=55.653302 loss=1.870927 lr=0.010639 Epoch[161] Batch [2699]/[3760] Speed: 97.695755 samples/sec accuracy=55.648727 loss=1.871756 lr=0.010631 Epoch[161] Batch [2749]/[3760] Speed: 95.912352 samples/sec accuracy=55.670455 loss=1.871370 lr=0.010624 Epoch[161] Batch [2799]/[3760] Speed: 97.927925 samples/sec accuracy=55.643415 loss=1.872134 lr=0.010616 Epoch[161] Batch [2849]/[3760] Speed: 98.140583 samples/sec accuracy=55.679825 loss=1.871857 lr=0.010608 Epoch[161] Batch [2899]/[3760] Speed: 98.066797 samples/sec accuracy=55.657866 loss=1.873305 lr=0.010600 Epoch[161] Batch [2949]/[3760] Speed: 97.190178 samples/sec accuracy=55.655720 loss=1.873452 lr=0.010592 Epoch[161] Batch [2999]/[3760] Speed: 98.097708 samples/sec accuracy=55.641146 loss=1.872952 lr=0.010584 Epoch[161] Batch [3049]/[3760] Speed: 95.288801 samples/sec accuracy=55.636783 loss=1.872892 lr=0.010576 Epoch[161] Batch [3099]/[3760] Speed: 97.164494 samples/sec accuracy=55.621976 loss=1.873377 lr=0.010568 Epoch[161] Batch [3149]/[3760] Speed: 97.839409 samples/sec accuracy=55.624008 loss=1.873163 lr=0.010560 Epoch[161] Batch [3199]/[3760] Speed: 96.908513 samples/sec accuracy=55.609375 loss=1.873440 lr=0.010552 Epoch[161] Batch [3249]/[3760] Speed: 97.013366 samples/sec accuracy=55.636058 loss=1.872855 lr=0.010544 Epoch[161] Batch [3299]/[3760] Speed: 97.290162 samples/sec accuracy=55.625473 loss=1.873224 lr=0.010536 Epoch[161] Batch [3349]/[3760] Speed: 95.814126 samples/sec accuracy=55.631530 loss=1.873124 lr=0.010528 Epoch[161] Batch [3399]/[3760] Speed: 97.675498 samples/sec accuracy=55.632353 loss=1.872778 lr=0.010520 Epoch[161] Batch [3449]/[3760] Speed: 97.973582 samples/sec accuracy=55.639040 loss=1.872772 lr=0.010512 Epoch[161] Batch [3499]/[3760] Speed: 97.351147 samples/sec accuracy=55.631696 loss=1.872839 lr=0.010505 Epoch[161] Batch [3549]/[3760] Speed: 97.707407 samples/sec accuracy=55.618838 loss=1.873497 lr=0.010497 Epoch[161] Batch [3599]/[3760] Speed: 96.367997 samples/sec accuracy=55.617622 loss=1.874133 lr=0.010489 Epoch[161] Batch [3649]/[3760] Speed: 95.448580 samples/sec accuracy=55.608733 loss=1.874413 lr=0.010481 Epoch[161] Batch [3699]/[3760] Speed: 98.331191 samples/sec accuracy=55.601351 loss=1.874693 lr=0.010473 Epoch[161] Batch [3749]/[3760] Speed: 111.119002 samples/sec accuracy=55.596250 loss=1.874676 lr=0.010465 Batch [0049]/[0303]: acc-top1=53.375000 acc-top5=76.062500 Batch [0099]/[0303]: acc-top1=51.437500 acc-top5=75.531250 Batch [0149]/[0303]: acc-top1=52.937500 acc-top5=76.447917 Batch [0199]/[0303]: acc-top1=55.976563 acc-top5=78.242188 Batch [0249]/[0303]: acc-top1=55.218750 acc-top5=78.006250 Batch [0299]/[0303]: acc-top1=54.479167 acc-top5=77.880208 [Epoch 161] training: accuracy=55.591755 loss=1.874908 [Epoch 161] speed: 96 samples/sec time cost: 2677.299034 [Epoch 161] validation: acc-top1=54.414191 acc-top5=77.898102 loss=2.075602 Epoch[162] Batch [0049]/[3759] Speed: 66.801982 samples/sec accuracy=55.468750 loss=1.832910 lr=0.010456 Epoch[162] Batch [0099]/[3759] Speed: 94.303779 samples/sec accuracy=56.609375 loss=1.828430 lr=0.010448 Epoch[162] Batch [0149]/[3759] Speed: 97.673804 samples/sec accuracy=56.750000 loss=1.827854 lr=0.010440 Epoch[162] Batch [0199]/[3759] Speed: 94.768629 samples/sec accuracy=56.429688 loss=1.837109 lr=0.010432 Epoch[162] Batch [0249]/[3759] Speed: 98.723223 samples/sec accuracy=56.406250 loss=1.836348 lr=0.010424 Epoch[162] Batch [0299]/[3759] Speed: 97.082470 samples/sec accuracy=56.552083 loss=1.832866 lr=0.010416 Epoch[162] Batch [0349]/[3759] Speed: 97.907011 samples/sec accuracy=56.642857 loss=1.833372 lr=0.010408 Epoch[162] Batch [0399]/[3759] Speed: 97.864144 samples/sec accuracy=56.605469 loss=1.829466 lr=0.010400 Epoch[162] Batch [0449]/[3759] Speed: 96.728365 samples/sec accuracy=56.489583 loss=1.830938 lr=0.010393 Epoch[162] Batch [0499]/[3759] Speed: 94.881751 samples/sec accuracy=56.493750 loss=1.831401 lr=0.010385 Epoch[162] Batch [0549]/[3759] Speed: 98.063723 samples/sec accuracy=56.406250 loss=1.836032 lr=0.010377 Epoch[162] Batch [0599]/[3759] Speed: 97.750276 samples/sec accuracy=56.468750 loss=1.833877 lr=0.010369 Epoch[162] Batch [0649]/[3759] Speed: 95.152202 samples/sec accuracy=56.322115 loss=1.841572 lr=0.010361 Epoch[162] Batch [0699]/[3759] Speed: 97.964500 samples/sec accuracy=56.290179 loss=1.841738 lr=0.010353 Epoch[162] Batch 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accuracy=56.234375 loss=1.844254 lr=0.010275 Epoch[162] Batch [1249]/[3759] Speed: 96.307722 samples/sec accuracy=56.253750 loss=1.844920 lr=0.010267 Epoch[162] Batch [1299]/[3759] Speed: 97.812703 samples/sec accuracy=56.212740 loss=1.844399 lr=0.010259 Epoch[162] Batch [1349]/[3759] Speed: 96.031952 samples/sec accuracy=56.199074 loss=1.845377 lr=0.010251 Epoch[162] Batch [1399]/[3759] Speed: 98.370735 samples/sec accuracy=56.185268 loss=1.843898 lr=0.010243 Epoch[162] Batch [1449]/[3759] Speed: 94.930653 samples/sec accuracy=56.184267 loss=1.844142 lr=0.010236 Epoch[162] Batch [1499]/[3759] Speed: 98.281970 samples/sec accuracy=56.166667 loss=1.844036 lr=0.010228 Epoch[162] Batch [1549]/[3759] Speed: 95.394811 samples/sec accuracy=56.161290 loss=1.843075 lr=0.010220 Epoch[162] Batch [1599]/[3759] Speed: 98.739635 samples/sec accuracy=56.137695 loss=1.843616 lr=0.010212 Epoch[162] Batch [1649]/[3759] Speed: 96.578883 samples/sec accuracy=56.111742 loss=1.844755 lr=0.010204 Epoch[162] 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accuracy=56.152616 loss=1.844961 lr=0.010126 Epoch[162] Batch [2199]/[3759] Speed: 97.431954 samples/sec accuracy=56.174006 loss=1.844293 lr=0.010119 Epoch[162] Batch [2249]/[3759] Speed: 97.461939 samples/sec accuracy=56.224306 loss=1.843765 lr=0.010111 Epoch[162] Batch [2299]/[3759] Speed: 97.483941 samples/sec accuracy=56.230978 loss=1.843508 lr=0.010103 Epoch[162] Batch [2349]/[3759] Speed: 94.971123 samples/sec accuracy=56.232048 loss=1.843794 lr=0.010095 Epoch[162] Batch [2399]/[3759] Speed: 98.682065 samples/sec accuracy=56.233073 loss=1.844372 lr=0.010088 Epoch[162] Batch [2449]/[3759] Speed: 97.193986 samples/sec accuracy=56.252551 loss=1.843079 lr=0.010080 Epoch[162] Batch [2499]/[3759] Speed: 97.504474 samples/sec accuracy=56.250000 loss=1.842661 lr=0.010072 Epoch[162] Batch [2549]/[3759] Speed: 96.757189 samples/sec accuracy=56.228554 loss=1.843650 lr=0.010064 Epoch[162] Batch [2599]/[3759] Speed: 97.338674 samples/sec accuracy=56.220553 loss=1.844734 lr=0.010057 Epoch[162] 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accuracy=56.194556 loss=1.846893 lr=0.009979 Epoch[162] Batch [3149]/[3759] Speed: 96.626205 samples/sec accuracy=56.206845 loss=1.847053 lr=0.009971 Epoch[162] Batch [3199]/[3759] Speed: 96.682850 samples/sec accuracy=56.207031 loss=1.846922 lr=0.009964 Epoch[162] Batch [3249]/[3759] Speed: 96.755838 samples/sec accuracy=56.202885 loss=1.846970 lr=0.009956 Epoch[162] Batch [3299]/[3759] Speed: 96.241045 samples/sec accuracy=56.203125 loss=1.846532 lr=0.009948 Epoch[162] Batch [3349]/[3759] Speed: 96.798784 samples/sec accuracy=56.193097 loss=1.846623 lr=0.009940 Epoch[162] Batch [3399]/[3759] Speed: 97.357714 samples/sec accuracy=56.216452 loss=1.846640 lr=0.009933 Epoch[162] Batch [3449]/[3759] Speed: 97.492349 samples/sec accuracy=56.227355 loss=1.845880 lr=0.009925 Epoch[162] Batch [3499]/[3759] Speed: 97.976501 samples/sec accuracy=56.237054 loss=1.845707 lr=0.009917 Epoch[162] Batch [3549]/[3759] Speed: 97.210279 samples/sec accuracy=56.224912 loss=1.846010 lr=0.009910 Epoch[162] Batch [3599]/[3759] Speed: 96.804857 samples/sec accuracy=56.242622 loss=1.845559 lr=0.009902 Epoch[162] Batch [3649]/[3759] Speed: 96.995259 samples/sec accuracy=56.234589 loss=1.845645 lr=0.009894 Epoch[162] Batch [3699]/[3759] Speed: 96.654179 samples/sec accuracy=56.220439 loss=1.846139 lr=0.009886 Epoch[162] Batch [3749]/[3759] Speed: 110.413281 samples/sec accuracy=56.222500 loss=1.845818 lr=0.009879 Batch [0049]/[0303]: acc-top1=54.406250 acc-top5=77.468750 Batch [0099]/[0303]: acc-top1=52.140625 acc-top5=76.593750 Batch [0149]/[0303]: acc-top1=53.468750 acc-top5=77.041667 Batch [0199]/[0303]: acc-top1=56.156250 acc-top5=78.640625 Batch [0249]/[0303]: acc-top1=55.675000 acc-top5=78.687500 Batch [0299]/[0303]: acc-top1=55.088542 acc-top5=78.645833 [Epoch 162] training: accuracy=56.217993 loss=1.845883 [Epoch 162] speed: 96 samples/sec time cost: 2679.701745 [Epoch 162] validation: acc-top1=55.063944 acc-top5=78.676774 loss=2.064898 Epoch[163] Batch [0049]/[3760] Speed: 66.468589 samples/sec accuracy=56.906250 loss=1.812732 lr=0.009870 Epoch[163] Batch [0099]/[3760] Speed: 90.526546 samples/sec accuracy=56.953125 loss=1.814610 lr=0.009862 Epoch[163] Batch [0149]/[3760] Speed: 99.561382 samples/sec accuracy=56.697917 loss=1.825090 lr=0.009854 Epoch[163] Batch [0199]/[3760] Speed: 94.402477 samples/sec accuracy=56.578125 loss=1.835394 lr=0.009847 Epoch[163] Batch [0249]/[3760] Speed: 98.555599 samples/sec accuracy=56.543750 loss=1.838308 lr=0.009839 Epoch[163] Batch [0299]/[3760] Speed: 95.304246 samples/sec accuracy=56.838542 loss=1.830401 lr=0.009831 Epoch[163] Batch [0349]/[3760] Speed: 98.130481 samples/sec accuracy=56.638393 loss=1.828891 lr=0.009824 Epoch[163] Batch [0399]/[3760] Speed: 96.530260 samples/sec accuracy=56.218750 loss=1.843227 lr=0.009816 Epoch[163] Batch [0449]/[3760] Speed: 96.340691 samples/sec accuracy=56.281250 loss=1.840897 lr=0.009808 Epoch[163] Batch [0499]/[3760] Speed: 96.863341 samples/sec accuracy=56.453125 loss=1.835101 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lr=0.009511 Epoch[163] Batch [2449]/[3760] Speed: 97.612305 samples/sec accuracy=56.567602 loss=1.829798 lr=0.009504 Epoch[163] Batch [2499]/[3760] Speed: 98.222209 samples/sec accuracy=56.568750 loss=1.830891 lr=0.009496 Epoch[163] Batch [2549]/[3760] Speed: 96.705912 samples/sec accuracy=56.549632 loss=1.830534 lr=0.009488 Epoch[163] Batch [2599]/[3760] Speed: 96.342354 samples/sec accuracy=56.526442 loss=1.831504 lr=0.009481 Epoch[163] Batch [2649]/[3760] Speed: 97.060076 samples/sec accuracy=56.546580 loss=1.830638 lr=0.009473 Epoch[163] Batch [2699]/[3760] Speed: 98.228847 samples/sec accuracy=56.564815 loss=1.830652 lr=0.009466 Epoch[163] Batch [2749]/[3760] Speed: 98.170178 samples/sec accuracy=56.567045 loss=1.829887 lr=0.009458 Epoch[163] Batch [2799]/[3760] Speed: 97.279890 samples/sec accuracy=56.589286 loss=1.828813 lr=0.009451 Epoch[163] Batch [2849]/[3760] Speed: 98.020042 samples/sec accuracy=56.622259 loss=1.827931 lr=0.009443 Epoch[163] Batch [2899]/[3760] Speed: 96.120218 samples/sec accuracy=56.609914 loss=1.828274 lr=0.009436 Epoch[163] Batch [2949]/[3760] Speed: 98.482841 samples/sec accuracy=56.626589 loss=1.828021 lr=0.009428 Epoch[163] Batch [2999]/[3760] Speed: 97.468351 samples/sec accuracy=56.616667 loss=1.828478 lr=0.009420 Epoch[163] Batch [3049]/[3760] Speed: 97.542092 samples/sec accuracy=56.626537 loss=1.828373 lr=0.009413 Epoch[163] Batch [3099]/[3760] Speed: 96.897738 samples/sec accuracy=56.643145 loss=1.828123 lr=0.009405 Epoch[163] Batch [3149]/[3760] Speed: 97.348675 samples/sec accuracy=56.654266 loss=1.827757 lr=0.009398 Epoch[163] Batch [3199]/[3760] Speed: 95.121177 samples/sec accuracy=56.660645 loss=1.827827 lr=0.009390 Epoch[163] Batch [3249]/[3760] Speed: 98.225885 samples/sec accuracy=56.672115 loss=1.827483 lr=0.009383 Epoch[163] Batch [3299]/[3760] Speed: 98.168156 samples/sec accuracy=56.674242 loss=1.827291 lr=0.009375 Epoch[163] Batch [3349]/[3760] Speed: 97.252142 samples/sec accuracy=56.681903 loss=1.827500 lr=0.009368 Epoch[163] Batch [3399]/[3760] Speed: 98.262561 samples/sec accuracy=56.694853 loss=1.826761 lr=0.009360 Epoch[163] Batch [3449]/[3760] Speed: 97.183092 samples/sec accuracy=56.698370 loss=1.826946 lr=0.009353 Epoch[163] Batch [3499]/[3760] Speed: 98.192386 samples/sec accuracy=56.665625 loss=1.827991 lr=0.009345 Epoch[163] Batch [3549]/[3760] Speed: 96.107126 samples/sec accuracy=56.679137 loss=1.827929 lr=0.009338 Epoch[163] Batch [3599]/[3760] Speed: 96.970321 samples/sec accuracy=56.671875 loss=1.828373 lr=0.009330 Epoch[163] Batch [3649]/[3760] Speed: 98.090454 samples/sec accuracy=56.670377 loss=1.828797 lr=0.009323 Epoch[163] Batch [3699]/[3760] Speed: 97.361405 samples/sec accuracy=56.657095 loss=1.830031 lr=0.009315 Epoch[163] Batch [3749]/[3760] Speed: 108.688783 samples/sec accuracy=56.647917 loss=1.830088 lr=0.009308 Batch [0049]/[0303]: acc-top1=56.656250 acc-top5=78.718750 Batch [0099]/[0303]: acc-top1=52.218750 acc-top5=77.281250 Batch [0149]/[0303]: acc-top1=53.937500 acc-top5=78.041667 Batch [0199]/[0303]: acc-top1=56.710938 acc-top5=79.500000 Batch [0249]/[0303]: acc-top1=56.037500 acc-top5=79.318750 Batch [0299]/[0303]: acc-top1=55.250000 acc-top5=79.265625 [Epoch 163] training: accuracy=56.646443 loss=1.830184 [Epoch 163] speed: 96 samples/sec time cost: 2678.325012 [Epoch 163] validation: acc-top1=55.213490 acc-top5=79.280116 loss=2.037047 Epoch[164] Batch [0049]/[3760] Speed: 66.008620 samples/sec accuracy=56.593750 loss=1.785411 lr=0.009299 Epoch[164] Batch [0099]/[3760] Speed: 95.596431 samples/sec accuracy=57.312500 loss=1.770302 lr=0.009291 Epoch[164] Batch [0149]/[3760] Speed: 98.709020 samples/sec accuracy=57.708333 loss=1.763596 lr=0.009284 Epoch[164] Batch [0199]/[3760] Speed: 96.331808 samples/sec accuracy=57.703125 loss=1.776287 lr=0.009276 Epoch[164] Batch [0249]/[3760] Speed: 98.711396 samples/sec accuracy=57.481250 loss=1.794447 lr=0.009269 Epoch[164] Batch [0299]/[3760] Speed: 96.451321 samples/sec accuracy=57.187500 loss=1.809028 lr=0.009261 Epoch[164] Batch [0349]/[3760] Speed: 94.061818 samples/sec accuracy=57.191964 loss=1.808356 lr=0.009254 Epoch[164] Batch [0399]/[3760] Speed: 98.583327 samples/sec accuracy=57.238281 loss=1.803837 lr=0.009246 Epoch[164] Batch [0449]/[3760] Speed: 97.629019 samples/sec accuracy=57.187500 loss=1.803826 lr=0.009239 Epoch[164] Batch [0499]/[3760] Speed: 97.128747 samples/sec accuracy=57.215625 loss=1.803843 lr=0.009231 Epoch[164] Batch [0549]/[3760] Speed: 96.672032 samples/sec accuracy=57.181818 loss=1.804900 lr=0.009224 Epoch[164] Batch [0599]/[3760] Speed: 98.048724 samples/sec accuracy=57.098958 loss=1.806068 lr=0.009217 Epoch[164] Batch [0649]/[3760] Speed: 97.905550 samples/sec accuracy=57.100962 loss=1.805225 lr=0.009209 Epoch[164] Batch [0699]/[3760] Speed: 96.561425 samples/sec accuracy=57.084821 loss=1.803435 lr=0.009202 Epoch[164] Batch [0749]/[3760] Speed: 97.511165 samples/sec accuracy=57.110417 loss=1.803728 lr=0.009194 Epoch[164] 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accuracy=57.122869 loss=1.799527 lr=0.008979 Epoch[164] Batch [2249]/[3760] Speed: 96.634330 samples/sec accuracy=57.124306 loss=1.799462 lr=0.008972 Epoch[164] Batch [2299]/[3760] Speed: 97.969324 samples/sec accuracy=57.127038 loss=1.799703 lr=0.008964 Epoch[164] Batch [2349]/[3760] Speed: 97.494408 samples/sec accuracy=57.122340 loss=1.800890 lr=0.008957 Epoch[164] Batch [2399]/[3760] Speed: 96.870311 samples/sec accuracy=57.121745 loss=1.800016 lr=0.008950 Epoch[164] Batch [2449]/[3760] Speed: 98.076196 samples/sec accuracy=57.135204 loss=1.800269 lr=0.008942 Epoch[164] Batch [2499]/[3760] Speed: 97.201587 samples/sec accuracy=57.128750 loss=1.800385 lr=0.008935 Epoch[164] Batch [2549]/[3760] Speed: 96.174845 samples/sec accuracy=57.117647 loss=1.801239 lr=0.008928 Epoch[164] Batch [2599]/[3760] Speed: 97.425062 samples/sec accuracy=57.135817 loss=1.800536 lr=0.008920 Epoch[164] Batch [2649]/[3760] Speed: 97.176817 samples/sec accuracy=57.133255 loss=1.800955 lr=0.008913 Epoch[164] 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accuracy=57.097222 loss=1.802740 lr=0.008840 Epoch[164] Batch [3199]/[3760] Speed: 96.226597 samples/sec accuracy=57.094727 loss=1.803080 lr=0.008832 Epoch[164] Batch [3249]/[3760] Speed: 98.326599 samples/sec accuracy=57.076442 loss=1.804228 lr=0.008825 Epoch[164] Batch [3299]/[3760] Speed: 97.584088 samples/sec accuracy=57.074811 loss=1.804879 lr=0.008818 Epoch[164] Batch [3349]/[3760] Speed: 97.749444 samples/sec accuracy=57.069030 loss=1.805267 lr=0.008810 Epoch[164] Batch [3399]/[3760] Speed: 97.855282 samples/sec accuracy=57.062500 loss=1.805449 lr=0.008803 Epoch[164] Batch [3449]/[3760] Speed: 97.238019 samples/sec accuracy=57.044837 loss=1.806031 lr=0.008796 Epoch[164] Batch [3499]/[3760] Speed: 96.061851 samples/sec accuracy=57.055804 loss=1.805662 lr=0.008788 Epoch[164] Batch [3549]/[3760] Speed: 97.028575 samples/sec accuracy=57.068662 loss=1.805379 lr=0.008781 Epoch[164] Batch [3599]/[3760] Speed: 98.202770 samples/sec accuracy=57.050347 loss=1.805618 lr=0.008774 Epoch[164] Batch [3649]/[3760] Speed: 98.266571 samples/sec accuracy=57.039812 loss=1.806042 lr=0.008766 Epoch[164] Batch [3699]/[3760] Speed: 96.528975 samples/sec accuracy=57.045186 loss=1.806115 lr=0.008759 Epoch[164] Batch [3749]/[3760] Speed: 109.183119 samples/sec accuracy=57.071667 loss=1.805415 lr=0.008752 Batch [0049]/[0303]: acc-top1=56.375000 acc-top5=78.687500 Batch [0099]/[0303]: acc-top1=53.312500 acc-top5=77.156250 Batch [0149]/[0303]: acc-top1=54.552083 acc-top5=77.770833 Batch [0199]/[0303]: acc-top1=56.890625 acc-top5=79.289062 Batch [0249]/[0303]: acc-top1=56.393750 acc-top5=79.256250 Batch [0299]/[0303]: acc-top1=55.947917 acc-top5=79.203125 [Epoch 164] training: accuracy=57.082779 loss=1.805175 [Epoch 164] speed: 96 samples/sec time cost: 2673.500312 [Epoch 164] validation: acc-top1=55.950908 acc-top5=79.238861 loss=2.038068 Epoch[165] Batch [0049]/[3759] Speed: 66.565018 samples/sec accuracy=56.250000 loss=1.830590 lr=0.008743 Epoch[165] Batch [0099]/[3759] Speed: 93.850465 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lr=0.008533 Epoch[165] Batch [1549]/[3759] Speed: 97.174335 samples/sec accuracy=57.510081 loss=1.780456 lr=0.008526 Epoch[165] Batch [1599]/[3759] Speed: 95.843302 samples/sec accuracy=57.483398 loss=1.780948 lr=0.008519 Epoch[165] Batch [1649]/[3759] Speed: 96.891495 samples/sec accuracy=57.465909 loss=1.780718 lr=0.008511 Epoch[165] Batch [1699]/[3759] Speed: 97.664842 samples/sec accuracy=57.452206 loss=1.781933 lr=0.008504 Epoch[165] Batch [1749]/[3759] Speed: 98.005353 samples/sec accuracy=57.508036 loss=1.778835 lr=0.008497 Epoch[165] Batch [1799]/[3759] Speed: 96.920989 samples/sec accuracy=57.472222 loss=1.781272 lr=0.008490 Epoch[165] Batch [1849]/[3759] Speed: 97.384922 samples/sec accuracy=57.503378 loss=1.780913 lr=0.008483 Epoch[165] Batch [1899]/[3759] Speed: 95.561000 samples/sec accuracy=57.528783 loss=1.780618 lr=0.008475 Epoch[165] Batch [1949]/[3759] Speed: 97.711468 samples/sec accuracy=57.564103 loss=1.780660 lr=0.008468 Epoch[165] Batch [1999]/[3759] Speed: 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lr=0.008397 Epoch[165] Batch [2499]/[3759] Speed: 97.244762 samples/sec accuracy=57.511875 loss=1.786544 lr=0.008389 Epoch[165] Batch [2549]/[3759] Speed: 96.526264 samples/sec accuracy=57.536152 loss=1.786577 lr=0.008382 Epoch[165] Batch [2599]/[3759] Speed: 96.394245 samples/sec accuracy=57.509615 loss=1.787730 lr=0.008375 Epoch[165] Batch [2649]/[3759] Speed: 97.806931 samples/sec accuracy=57.531250 loss=1.787493 lr=0.008368 Epoch[165] Batch [2699]/[3759] Speed: 97.170273 samples/sec accuracy=57.534722 loss=1.786576 lr=0.008361 Epoch[165] Batch [2749]/[3759] Speed: 97.167622 samples/sec accuracy=57.531250 loss=1.786663 lr=0.008354 Epoch[165] Batch [2799]/[3759] Speed: 97.218932 samples/sec accuracy=57.523996 loss=1.786679 lr=0.008347 Epoch[165] Batch [2849]/[3759] Speed: 95.939017 samples/sec accuracy=57.529057 loss=1.786431 lr=0.008339 Epoch[165] Batch [2899]/[3759] Speed: 96.332345 samples/sec accuracy=57.541487 loss=1.785801 lr=0.008332 Epoch[165] Batch [2949]/[3759] Speed: 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lr=0.008261 Epoch[165] Batch [3449]/[3759] Speed: 96.748798 samples/sec accuracy=57.480072 loss=1.786617 lr=0.008254 Epoch[165] Batch [3499]/[3759] Speed: 95.594781 samples/sec accuracy=57.482143 loss=1.786177 lr=0.008247 Epoch[165] Batch [3549]/[3759] Speed: 98.011625 samples/sec accuracy=57.489877 loss=1.785983 lr=0.008240 Epoch[165] Batch [3599]/[3759] Speed: 97.097560 samples/sec accuracy=57.496528 loss=1.785474 lr=0.008233 Epoch[165] Batch [3649]/[3759] Speed: 97.299784 samples/sec accuracy=57.491866 loss=1.785477 lr=0.008226 Epoch[165] Batch [3699]/[3759] Speed: 97.505231 samples/sec accuracy=57.490709 loss=1.785464 lr=0.008219 Epoch[165] Batch [3749]/[3759] Speed: 111.809875 samples/sec accuracy=57.483750 loss=1.785607 lr=0.008211 Batch [0049]/[0303]: acc-top1=55.156250 acc-top5=78.218750 Batch [0099]/[0303]: acc-top1=52.687500 acc-top5=77.375000 Batch [0149]/[0303]: acc-top1=54.500000 acc-top5=77.843750 Batch [0199]/[0303]: acc-top1=57.117188 acc-top5=79.570312 Batch [0249]/[0303]: acc-top1=56.812500 acc-top5=79.468750 Batch [0299]/[0303]: acc-top1=56.505208 acc-top5=79.546875 [Epoch 165] training: accuracy=57.483290 loss=1.785573 [Epoch 165] speed: 96 samples/sec time cost: 2681.762619 [Epoch 165] validation: acc-top1=56.399546 acc-top5=79.537954 loss=1.992076 Epoch[166] Batch [0049]/[3760] Speed: 67.207992 samples/sec accuracy=57.250000 loss=1.799658 lr=0.008203 Epoch[166] Batch [0099]/[3760] Speed: 94.295619 samples/sec accuracy=58.656250 loss=1.741068 lr=0.008196 Epoch[166] Batch [0149]/[3760] Speed: 97.736240 samples/sec accuracy=58.156250 loss=1.752748 lr=0.008189 Epoch[166] Batch [0199]/[3760] Speed: 95.940385 samples/sec accuracy=58.414062 loss=1.740701 lr=0.008182 Epoch[166] Batch [0249]/[3760] Speed: 97.639594 samples/sec accuracy=58.637500 loss=1.729748 lr=0.008175 Epoch[166] Batch [0299]/[3760] Speed: 96.672355 samples/sec accuracy=58.510417 loss=1.733908 lr=0.008168 Epoch[166] Batch [0349]/[3760] Speed: 95.963568 samples/sec accuracy=58.531250 loss=1.729506 lr=0.008161 Epoch[166] Batch [0399]/[3760] Speed: 97.574956 samples/sec accuracy=58.464844 loss=1.729942 lr=0.008154 Epoch[166] Batch [0449]/[3760] Speed: 96.462219 samples/sec accuracy=58.458333 loss=1.732479 lr=0.008147 Epoch[166] Batch [0499]/[3760] Speed: 97.424519 samples/sec accuracy=58.534375 loss=1.729931 lr=0.008140 Epoch[166] Batch [0549]/[3760] Speed: 96.281199 samples/sec accuracy=58.599432 loss=1.726467 lr=0.008132 Epoch[166] Batch [0599]/[3760] Speed: 98.584943 samples/sec accuracy=58.554688 loss=1.731203 lr=0.008125 Epoch[166] Batch [0649]/[3760] Speed: 95.650844 samples/sec accuracy=58.449519 loss=1.736894 lr=0.008118 Epoch[166] Batch [0699]/[3760] Speed: 98.358847 samples/sec accuracy=58.350446 loss=1.742804 lr=0.008111 Epoch[166] Batch [0749]/[3760] Speed: 97.382497 samples/sec accuracy=58.366667 loss=1.742189 lr=0.008104 Epoch[166] Batch [0799]/[3760] Speed: 97.597534 samples/sec accuracy=58.259766 loss=1.746038 lr=0.008097 Epoch[166] 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accuracy=58.433894 loss=1.740616 lr=0.008027 Epoch[166] Batch [1349]/[3760] Speed: 97.452982 samples/sec accuracy=58.406250 loss=1.742509 lr=0.008020 Epoch[166] Batch [1399]/[3760] Speed: 96.715839 samples/sec accuracy=58.430804 loss=1.742174 lr=0.008013 Epoch[166] Batch [1449]/[3760] Speed: 98.163951 samples/sec accuracy=58.394397 loss=1.743094 lr=0.008006 Epoch[166] Batch [1499]/[3760] Speed: 96.262959 samples/sec accuracy=58.408333 loss=1.743505 lr=0.007999 Epoch[166] Batch [1549]/[3760] Speed: 97.534283 samples/sec accuracy=58.429435 loss=1.744625 lr=0.007992 Epoch[166] Batch [1599]/[3760] Speed: 95.669571 samples/sec accuracy=58.454102 loss=1.743290 lr=0.007985 Epoch[166] Batch [1649]/[3760] Speed: 96.996498 samples/sec accuracy=58.409091 loss=1.744911 lr=0.007978 Epoch[166] Batch [1699]/[3760] Speed: 97.582024 samples/sec accuracy=58.420037 loss=1.743852 lr=0.007971 Epoch[166] Batch [1749]/[3760] Speed: 96.899730 samples/sec accuracy=58.366071 loss=1.745574 lr=0.007964 Epoch[166] 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accuracy=58.198611 loss=1.752338 lr=0.007894 Epoch[166] Batch [2299]/[3760] Speed: 96.855610 samples/sec accuracy=58.206522 loss=1.751497 lr=0.007887 Epoch[166] Batch [2349]/[3760] Speed: 97.385257 samples/sec accuracy=58.202128 loss=1.752025 lr=0.007880 Epoch[166] Batch [2399]/[3760] Speed: 97.449004 samples/sec accuracy=58.203125 loss=1.752078 lr=0.007874 Epoch[166] Batch [2449]/[3760] Speed: 96.755897 samples/sec accuracy=58.202806 loss=1.752379 lr=0.007867 Epoch[166] Batch [2499]/[3760] Speed: 97.727351 samples/sec accuracy=58.170000 loss=1.753500 lr=0.007860 Epoch[166] Batch [2549]/[3760] Speed: 96.287836 samples/sec accuracy=58.178922 loss=1.753184 lr=0.007853 Epoch[166] Batch [2599]/[3760] Speed: 97.153151 samples/sec accuracy=58.185697 loss=1.752675 lr=0.007846 Epoch[166] Batch [2649]/[3760] Speed: 97.471834 samples/sec accuracy=58.200472 loss=1.753104 lr=0.007839 Epoch[166] Batch [2699]/[3760] Speed: 97.549269 samples/sec accuracy=58.199074 loss=1.752549 lr=0.007832 Epoch[166] 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accuracy=58.122559 loss=1.756651 lr=0.007763 Epoch[166] Batch [3249]/[3760] Speed: 97.569180 samples/sec accuracy=58.100962 loss=1.757181 lr=0.007756 Epoch[166] Batch [3299]/[3760] Speed: 98.497671 samples/sec accuracy=58.104167 loss=1.757185 lr=0.007749 Epoch[166] Batch [3349]/[3760] Speed: 97.466542 samples/sec accuracy=58.087220 loss=1.757928 lr=0.007742 Epoch[166] Batch [3399]/[3760] Speed: 97.372474 samples/sec accuracy=58.081801 loss=1.758463 lr=0.007735 Epoch[166] Batch [3449]/[3760] Speed: 96.703390 samples/sec accuracy=58.081522 loss=1.758300 lr=0.007728 Epoch[166] Batch [3499]/[3760] Speed: 95.540541 samples/sec accuracy=58.072321 loss=1.759049 lr=0.007721 Epoch[166] Batch [3549]/[3760] Speed: 98.291927 samples/sec accuracy=58.064701 loss=1.759280 lr=0.007714 Epoch[166] Batch [3599]/[3760] Speed: 96.083307 samples/sec accuracy=58.063802 loss=1.759195 lr=0.007708 Epoch[166] Batch [3649]/[3760] Speed: 97.936542 samples/sec accuracy=58.085616 loss=1.758161 lr=0.007701 Epoch[166] Batch [3699]/[3760] Speed: 97.611202 samples/sec accuracy=58.095861 loss=1.757980 lr=0.007694 Epoch[166] Batch [3749]/[3760] Speed: 109.266363 samples/sec accuracy=58.107083 loss=1.757411 lr=0.007687 Batch [0049]/[0303]: acc-top1=56.968750 acc-top5=79.406250 Batch [0099]/[0303]: acc-top1=53.234375 acc-top5=77.765625 Batch [0149]/[0303]: acc-top1=55.197917 acc-top5=78.437500 Batch [0199]/[0303]: acc-top1=57.796875 acc-top5=79.984375 Batch [0249]/[0303]: acc-top1=57.237500 acc-top5=79.762500 Batch [0299]/[0303]: acc-top1=56.729167 acc-top5=79.854167 [Epoch 166] training: accuracy=58.111287 loss=1.757196 [Epoch 166] speed: 96 samples/sec time cost: 2682.174870 [Epoch 166] validation: acc-top1=56.678012 acc-top5=79.847360 loss=1.975936 Epoch[167] Batch [0049]/[3760] Speed: 67.405984 samples/sec accuracy=59.031250 loss=1.728196 lr=0.007679 Epoch[167] Batch [0099]/[3760] Speed: 93.647266 samples/sec accuracy=57.703125 loss=1.771952 lr=0.007672 Epoch[167] Batch [0149]/[3760] Speed: 97.314718 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lr=0.007603 Epoch[167] Batch [0649]/[3760] Speed: 94.019199 samples/sec accuracy=59.004808 loss=1.718074 lr=0.007596 Epoch[167] Batch [0699]/[3760] Speed: 99.140203 samples/sec accuracy=59.033482 loss=1.716038 lr=0.007590 Epoch[167] Batch [0749]/[3760] Speed: 97.524076 samples/sec accuracy=59.066667 loss=1.715800 lr=0.007583 Epoch[167] Batch [0799]/[3760] Speed: 98.063315 samples/sec accuracy=58.861328 loss=1.722829 lr=0.007576 Epoch[167] Batch [0849]/[3760] Speed: 97.479340 samples/sec accuracy=58.847426 loss=1.723160 lr=0.007569 Epoch[167] Batch [0899]/[3760] Speed: 97.532314 samples/sec accuracy=58.906250 loss=1.720459 lr=0.007562 Epoch[167] Batch [0949]/[3760] Speed: 97.704149 samples/sec accuracy=58.988487 loss=1.718261 lr=0.007556 Epoch[167] Batch [0999]/[3760] Speed: 95.942168 samples/sec accuracy=58.909375 loss=1.721234 lr=0.007549 Epoch[167] Batch [1049]/[3760] Speed: 97.079157 samples/sec accuracy=58.901786 loss=1.720806 lr=0.007542 Epoch[167] Batch [1099]/[3760] Speed: 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lr=0.007474 Epoch[167] Batch [1599]/[3760] Speed: 94.766412 samples/sec accuracy=58.845703 loss=1.727444 lr=0.007467 Epoch[167] Batch [1649]/[3760] Speed: 98.202396 samples/sec accuracy=58.819129 loss=1.728975 lr=0.007460 Epoch[167] Batch [1699]/[3760] Speed: 97.157764 samples/sec accuracy=58.809743 loss=1.730165 lr=0.007454 Epoch[167] Batch [1749]/[3760] Speed: 97.544721 samples/sec accuracy=58.768750 loss=1.731452 lr=0.007447 Epoch[167] Batch [1799]/[3760] Speed: 97.556792 samples/sec accuracy=58.751736 loss=1.731813 lr=0.007440 Epoch[167] Batch [1849]/[3760] Speed: 97.379203 samples/sec accuracy=58.714527 loss=1.734704 lr=0.007433 Epoch[167] Batch [1899]/[3760] Speed: 97.228657 samples/sec accuracy=58.718750 loss=1.734146 lr=0.007427 Epoch[167] Batch [1949]/[3760] Speed: 96.226092 samples/sec accuracy=58.723558 loss=1.733328 lr=0.007420 Epoch[167] Batch [1999]/[3760] Speed: 97.873952 samples/sec accuracy=58.716406 loss=1.733330 lr=0.007413 Epoch[167] Batch [2049]/[3760] Speed: 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lr=0.007346 Epoch[167] Batch [2549]/[3760] Speed: 95.534473 samples/sec accuracy=58.633578 loss=1.734723 lr=0.007339 Epoch[167] Batch [2599]/[3760] Speed: 97.642848 samples/sec accuracy=58.637019 loss=1.734826 lr=0.007332 Epoch[167] Batch [2649]/[3760] Speed: 97.439379 samples/sec accuracy=58.602594 loss=1.736048 lr=0.007325 Epoch[167] Batch [2699]/[3760] Speed: 97.571977 samples/sec accuracy=58.600694 loss=1.736239 lr=0.007319 Epoch[167] Batch [2749]/[3760] Speed: 97.197513 samples/sec accuracy=58.607955 loss=1.736033 lr=0.007312 Epoch[167] Batch [2799]/[3760] Speed: 97.789856 samples/sec accuracy=58.603795 loss=1.737004 lr=0.007305 Epoch[167] Batch [2849]/[3760] Speed: 97.560464 samples/sec accuracy=58.597039 loss=1.737342 lr=0.007299 Epoch[167] Batch [2899]/[3760] Speed: 96.166395 samples/sec accuracy=58.583513 loss=1.737674 lr=0.007292 Epoch[167] Batch [2949]/[3760] Speed: 97.529359 samples/sec accuracy=58.566208 loss=1.737985 lr=0.007285 Epoch[167] Batch [2999]/[3760] Speed: 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lr=0.007218 Epoch[167] Batch [3499]/[3760] Speed: 94.757565 samples/sec accuracy=58.542411 loss=1.740409 lr=0.007212 Epoch[167] Batch [3549]/[3760] Speed: 99.052183 samples/sec accuracy=58.547535 loss=1.740004 lr=0.007205 Epoch[167] Batch [3599]/[3760] Speed: 97.245175 samples/sec accuracy=58.560330 loss=1.739222 lr=0.007198 Epoch[167] Batch [3649]/[3760] Speed: 97.959917 samples/sec accuracy=58.553082 loss=1.739236 lr=0.007192 Epoch[167] Batch [3699]/[3760] Speed: 97.028593 samples/sec accuracy=58.560389 loss=1.738786 lr=0.007185 Epoch[167] Batch [3749]/[3760] Speed: 111.401169 samples/sec accuracy=58.563750 loss=1.738656 lr=0.007178 Batch [0049]/[0303]: acc-top1=56.781250 acc-top5=78.937500 Batch [0099]/[0303]: acc-top1=53.921875 acc-top5=77.625000 Batch [0149]/[0303]: acc-top1=55.656250 acc-top5=78.291667 Batch [0199]/[0303]: acc-top1=58.539063 acc-top5=79.843750 Batch [0249]/[0303]: acc-top1=57.843750 acc-top5=79.631250 Batch [0299]/[0303]: acc-top1=57.109375 acc-top5=79.661458 [Epoch 167] training: accuracy=58.559674 loss=1.738944 [Epoch 167] speed: 96 samples/sec time cost: 2676.885919 [Epoch 167] validation: acc-top1=57.075083 acc-top5=79.635932 loss=1.951219 Epoch[168] Batch [0049]/[3759] Speed: 67.079080 samples/sec accuracy=59.500000 loss=1.701468 lr=0.007170 Epoch[168] Batch [0099]/[3759] Speed: 95.451614 samples/sec accuracy=59.562500 loss=1.699331 lr=0.007164 Epoch[168] Batch [0149]/[3759] Speed: 98.248337 samples/sec accuracy=59.989583 loss=1.676383 lr=0.007157 Epoch[168] Batch [0199]/[3759] Speed: 95.942407 samples/sec accuracy=59.968750 loss=1.676869 lr=0.007150 Epoch[168] Batch [0249]/[3759] Speed: 99.202132 samples/sec accuracy=59.762500 loss=1.695289 lr=0.007144 Epoch[168] Batch [0299]/[3759] Speed: 96.472236 samples/sec accuracy=59.864583 loss=1.692646 lr=0.007137 Epoch[168] Batch [0349]/[3759] Speed: 97.565624 samples/sec accuracy=59.852679 loss=1.697899 lr=0.007130 Epoch[168] Batch [0399]/[3759] Speed: 95.991434 samples/sec accuracy=59.910156 loss=1.697056 lr=0.007124 Epoch[168] Batch [0449]/[3759] Speed: 98.388765 samples/sec accuracy=59.788194 loss=1.703343 lr=0.007117 Epoch[168] Batch [0499]/[3759] Speed: 97.208222 samples/sec accuracy=59.843750 loss=1.699156 lr=0.007110 Epoch[168] Batch [0549]/[3759] Speed: 96.554185 samples/sec accuracy=59.906250 loss=1.695263 lr=0.007104 Epoch[168] Batch [0599]/[3759] Speed: 98.213984 samples/sec accuracy=59.802083 loss=1.696504 lr=0.007097 Epoch[168] Batch [0649]/[3759] Speed: 97.784721 samples/sec accuracy=59.759615 loss=1.693854 lr=0.007091 Epoch[168] Batch [0699]/[3759] Speed: 96.090981 samples/sec accuracy=59.716518 loss=1.693092 lr=0.007084 Epoch[168] Batch [0749]/[3759] Speed: 98.322076 samples/sec accuracy=59.666667 loss=1.698029 lr=0.007077 Epoch[168] Batch [0799]/[3759] Speed: 97.843441 samples/sec accuracy=59.722656 loss=1.695370 lr=0.007071 Epoch[168] Batch [0849]/[3759] Speed: 97.221420 samples/sec accuracy=59.696691 loss=1.696318 lr=0.007064 Epoch[168] 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accuracy=59.631944 loss=1.695829 lr=0.006998 Epoch[168] Batch [1399]/[3759] Speed: 97.535359 samples/sec accuracy=59.585938 loss=1.696945 lr=0.006992 Epoch[168] Batch [1449]/[3759] Speed: 97.512697 samples/sec accuracy=59.559267 loss=1.698300 lr=0.006985 Epoch[168] Batch [1499]/[3759] Speed: 97.922798 samples/sec accuracy=59.564583 loss=1.698342 lr=0.006978 Epoch[168] Batch [1549]/[3759] Speed: 97.411351 samples/sec accuracy=59.488911 loss=1.700823 lr=0.006972 Epoch[168] Batch [1599]/[3759] Speed: 96.968462 samples/sec accuracy=59.503906 loss=1.700685 lr=0.006965 Epoch[168] Batch [1649]/[3759] Speed: 96.125422 samples/sec accuracy=59.462121 loss=1.702917 lr=0.006959 Epoch[168] Batch [1699]/[3759] Speed: 96.919440 samples/sec accuracy=59.458640 loss=1.701893 lr=0.006952 Epoch[168] Batch [1749]/[3759] Speed: 97.937533 samples/sec accuracy=59.432143 loss=1.702436 lr=0.006946 Epoch[168] Batch [1799]/[3759] Speed: 97.381984 samples/sec accuracy=59.429687 loss=1.702219 lr=0.006939 Epoch[168] 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accuracy=59.399457 loss=1.702960 lr=0.006874 Epoch[168] Batch [2349]/[3759] Speed: 97.964356 samples/sec accuracy=59.388298 loss=1.703929 lr=0.006867 Epoch[168] Batch [2399]/[3759] Speed: 97.460793 samples/sec accuracy=59.400391 loss=1.703654 lr=0.006861 Epoch[168] Batch [2449]/[3759] Speed: 97.535522 samples/sec accuracy=59.404974 loss=1.704635 lr=0.006854 Epoch[168] Batch [2499]/[3759] Speed: 97.249519 samples/sec accuracy=59.393750 loss=1.705017 lr=0.006848 Epoch[168] Batch [2549]/[3759] Speed: 97.704041 samples/sec accuracy=59.408701 loss=1.704684 lr=0.006841 Epoch[168] Batch [2599]/[3759] Speed: 96.954089 samples/sec accuracy=59.428486 loss=1.703807 lr=0.006835 Epoch[168] Batch [2649]/[3759] Speed: 97.909572 samples/sec accuracy=59.427476 loss=1.703520 lr=0.006828 Epoch[168] Batch [2699]/[3759] Speed: 97.246926 samples/sec accuracy=59.436921 loss=1.703542 lr=0.006822 Epoch[168] Batch [2749]/[3759] Speed: 97.499715 samples/sec accuracy=59.445455 loss=1.702982 lr=0.006815 Epoch[168] 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accuracy=59.382692 loss=1.705279 lr=0.006750 Epoch[168] Batch [3299]/[3759] Speed: 97.958037 samples/sec accuracy=59.395833 loss=1.705302 lr=0.006744 Epoch[168] Batch [3349]/[3759] Speed: 96.835932 samples/sec accuracy=59.380597 loss=1.706061 lr=0.006737 Epoch[168] Batch [3399]/[3759] Speed: 98.142953 samples/sec accuracy=59.377757 loss=1.705941 lr=0.006731 Epoch[168] Batch [3449]/[3759] Speed: 97.563605 samples/sec accuracy=59.362772 loss=1.706167 lr=0.006724 Epoch[168] Batch [3499]/[3759] Speed: 97.668203 samples/sec accuracy=59.344643 loss=1.706705 lr=0.006718 Epoch[168] Batch [3549]/[3759] Speed: 95.300350 samples/sec accuracy=59.333187 loss=1.706679 lr=0.006711 Epoch[168] Batch [3599]/[3759] Speed: 98.164082 samples/sec accuracy=59.327691 loss=1.706404 lr=0.006705 Epoch[168] Batch [3649]/[3759] Speed: 97.137808 samples/sec accuracy=59.333048 loss=1.705626 lr=0.006698 Epoch[168] Batch [3699]/[3759] Speed: 97.397157 samples/sec accuracy=59.339949 loss=1.705539 lr=0.006692 Epoch[168] Batch [3749]/[3759] Speed: 111.539820 samples/sec accuracy=59.339167 loss=1.705070 lr=0.006686 Batch [0049]/[0303]: acc-top1=56.937500 acc-top5=79.312500 Batch [0099]/[0303]: acc-top1=54.375000 acc-top5=78.578125 Batch [0149]/[0303]: acc-top1=55.885417 acc-top5=79.197917 Batch [0199]/[0303]: acc-top1=58.343750 acc-top5=80.570312 Batch [0249]/[0303]: acc-top1=57.875000 acc-top5=80.243750 Batch [0299]/[0303]: acc-top1=57.536458 acc-top5=80.312500 [Epoch 168] training: accuracy=59.340499 loss=1.704991 [Epoch 168] speed: 96 samples/sec time cost: 2672.490711 [Epoch 168] validation: acc-top1=57.492781 acc-top5=80.342409 loss=1.943681 Epoch[169] Batch [0049]/[3760] Speed: 67.721265 samples/sec accuracy=58.281250 loss=1.750054 lr=0.006678 Epoch[169] Batch [0099]/[3760] Speed: 92.877016 samples/sec accuracy=60.078125 loss=1.694707 lr=0.006672 Epoch[169] Batch [0149]/[3760] Speed: 97.984120 samples/sec accuracy=60.260417 loss=1.682717 lr=0.006665 Epoch[169] Batch [0199]/[3760] Speed: 94.991432 samples/sec accuracy=60.351562 loss=1.675343 lr=0.006659 Epoch[169] Batch [0249]/[3760] Speed: 99.131161 samples/sec accuracy=60.462500 loss=1.663797 lr=0.006652 Epoch[169] Batch [0299]/[3760] Speed: 95.886357 samples/sec accuracy=60.541667 loss=1.661594 lr=0.006646 Epoch[169] Batch [0349]/[3760] Speed: 96.778492 samples/sec accuracy=60.589286 loss=1.657000 lr=0.006639 Epoch[169] Batch [0399]/[3760] Speed: 94.756278 samples/sec accuracy=60.554688 loss=1.659625 lr=0.006633 Epoch[169] Batch [0449]/[3760] Speed: 99.277267 samples/sec accuracy=60.440972 loss=1.664633 lr=0.006627 Epoch[169] Batch [0499]/[3760] Speed: 97.661259 samples/sec accuracy=60.384375 loss=1.665581 lr=0.006620 Epoch[169] Batch [0549]/[3760] Speed: 97.846501 samples/sec accuracy=60.375000 loss=1.663670 lr=0.006614 Epoch[169] Batch [0599]/[3760] Speed: 97.382765 samples/sec accuracy=60.408854 loss=1.666093 lr=0.006607 Epoch[169] Batch [0649]/[3760] Speed: 97.480939 samples/sec accuracy=60.367788 loss=1.666279 lr=0.006601 Epoch[169] Batch [0699]/[3760] Speed: 98.164605 samples/sec accuracy=60.287946 loss=1.668897 lr=0.006595 Epoch[169] Batch [0749]/[3760] Speed: 95.766774 samples/sec accuracy=60.247917 loss=1.669445 lr=0.006588 Epoch[169] Batch [0799]/[3760] Speed: 97.251079 samples/sec accuracy=60.158203 loss=1.671098 lr=0.006582 Epoch[169] Batch [0849]/[3760] Speed: 98.734396 samples/sec accuracy=60.137868 loss=1.672677 lr=0.006575 Epoch[169] Batch [0899]/[3760] Speed: 97.350740 samples/sec accuracy=60.118056 loss=1.672106 lr=0.006569 Epoch[169] Batch [0949]/[3760] Speed: 97.956464 samples/sec accuracy=60.154605 loss=1.670918 lr=0.006563 Epoch[169] Batch [0999]/[3760] Speed: 96.876986 samples/sec accuracy=60.100000 loss=1.673146 lr=0.006556 Epoch[169] Batch [1049]/[3760] Speed: 97.053136 samples/sec accuracy=60.093750 loss=1.673982 lr=0.006550 Epoch[169] Batch [1099]/[3760] Speed: 97.435775 samples/sec accuracy=60.031250 loss=1.675633 lr=0.006543 Epoch[169] Batch [1149]/[3760] Speed: 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lr=0.006480 Epoch[169] Batch [1649]/[3760] Speed: 96.693789 samples/sec accuracy=59.939394 loss=1.679381 lr=0.006473 Epoch[169] Batch [1699]/[3760] Speed: 96.186892 samples/sec accuracy=59.967831 loss=1.678569 lr=0.006467 Epoch[169] Batch [1749]/[3760] Speed: 98.061444 samples/sec accuracy=59.952679 loss=1.678314 lr=0.006461 Epoch[169] Batch [1799]/[3760] Speed: 97.552043 samples/sec accuracy=59.942708 loss=1.679082 lr=0.006454 Epoch[169] Batch [1849]/[3760] Speed: 98.646268 samples/sec accuracy=59.913007 loss=1.680548 lr=0.006448 Epoch[169] Batch [1899]/[3760] Speed: 97.671002 samples/sec accuracy=59.893914 loss=1.680922 lr=0.006442 Epoch[169] Batch [1949]/[3760] Speed: 98.466109 samples/sec accuracy=59.899840 loss=1.680921 lr=0.006435 Epoch[169] Batch [1999]/[3760] Speed: 93.998222 samples/sec accuracy=59.866406 loss=1.681603 lr=0.006429 Epoch[169] Batch [2049]/[3760] Speed: 100.184025 samples/sec accuracy=59.822409 loss=1.683916 lr=0.006423 Epoch[169] Batch [2099]/[3760] Speed: 98.433163 samples/sec accuracy=59.840030 loss=1.683356 lr=0.006416 Epoch[169] Batch [2149]/[3760] Speed: 96.758824 samples/sec accuracy=59.845203 loss=1.682631 lr=0.006410 Epoch[169] Batch [2199]/[3760] Speed: 97.371574 samples/sec accuracy=59.817472 loss=1.683292 lr=0.006404 Epoch[169] Batch [2249]/[3760] Speed: 97.981317 samples/sec accuracy=59.812500 loss=1.683154 lr=0.006397 Epoch[169] Batch [2299]/[3760] Speed: 97.423573 samples/sec accuracy=59.798234 loss=1.683583 lr=0.006391 Epoch[169] Batch [2349]/[3760] Speed: 96.623090 samples/sec accuracy=59.817819 loss=1.682950 lr=0.006385 Epoch[169] Batch [2399]/[3760] Speed: 97.795107 samples/sec accuracy=59.819010 loss=1.683457 lr=0.006379 Epoch[169] Batch [2449]/[3760] Speed: 97.733558 samples/sec accuracy=59.821429 loss=1.683391 lr=0.006372 Epoch[169] Batch [2499]/[3760] Speed: 97.913373 samples/sec accuracy=59.825625 loss=1.683472 lr=0.006366 Epoch[169] Batch [2549]/[3760] Speed: 97.883472 samples/sec accuracy=59.867647 loss=1.681787 lr=0.006360 Epoch[169] Batch [2599]/[3760] Speed: 96.719534 samples/sec accuracy=59.888822 loss=1.681462 lr=0.006353 Epoch[169] Batch [2649]/[3760] Speed: 96.832445 samples/sec accuracy=59.880307 loss=1.681913 lr=0.006347 Epoch[169] Batch [2699]/[3760] Speed: 98.593030 samples/sec accuracy=59.893519 loss=1.681621 lr=0.006341 Epoch[169] Batch [2749]/[3760] Speed: 97.726305 samples/sec accuracy=59.917614 loss=1.680907 lr=0.006334 Epoch[169] Batch [2799]/[3760] Speed: 97.829684 samples/sec accuracy=59.907366 loss=1.680842 lr=0.006328 Epoch[169] Batch [2849]/[3760] Speed: 97.536907 samples/sec accuracy=59.917763 loss=1.681195 lr=0.006322 Epoch[169] Batch [2899]/[3760] Speed: 98.069543 samples/sec accuracy=59.900323 loss=1.682041 lr=0.006316 Epoch[169] Batch [2949]/[3760] Speed: 97.286953 samples/sec accuracy=59.880297 loss=1.682387 lr=0.006309 Epoch[169] Batch [2999]/[3760] Speed: 96.613499 samples/sec accuracy=59.870312 loss=1.682582 lr=0.006303 Epoch[169] Batch [3049]/[3760] Speed: 97.841351 samples/sec accuracy=59.844775 loss=1.682957 lr=0.006297 Epoch[169] Batch [3099]/[3760] Speed: 97.190773 samples/sec accuracy=59.845766 loss=1.682538 lr=0.006291 Epoch[169] Batch [3149]/[3760] Speed: 97.917879 samples/sec accuracy=59.856151 loss=1.682084 lr=0.006284 Epoch[169] Batch [3199]/[3760] Speed: 98.141580 samples/sec accuracy=59.840820 loss=1.682679 lr=0.006278 Epoch[169] Batch [3249]/[3760] Speed: 98.586117 samples/sec accuracy=59.856250 loss=1.681938 lr=0.006272 Epoch[169] Batch [3299]/[3760] Speed: 96.631778 samples/sec accuracy=59.838068 loss=1.682177 lr=0.006266 Epoch[169] Batch [3349]/[3760] Speed: 97.447110 samples/sec accuracy=59.813899 loss=1.683021 lr=0.006259 Epoch[169] Batch [3399]/[3760] Speed: 97.974257 samples/sec accuracy=59.838235 loss=1.681844 lr=0.006253 Epoch[169] Batch [3449]/[3760] Speed: 97.714097 samples/sec accuracy=59.829257 loss=1.682212 lr=0.006247 Epoch[169] Batch [3499]/[3760] Speed: 98.287211 samples/sec accuracy=59.825893 loss=1.682272 lr=0.006241 Epoch[169] Batch [3549]/[3760] Speed: 97.384198 samples/sec accuracy=59.805018 loss=1.682846 lr=0.006234 Epoch[169] Batch [3599]/[3760] Speed: 95.245599 samples/sec accuracy=59.797743 loss=1.683708 lr=0.006228 Epoch[169] Batch [3649]/[3760] Speed: 98.567720 samples/sec accuracy=59.816353 loss=1.683066 lr=0.006222 Epoch[169] Batch [3699]/[3760] Speed: 98.342224 samples/sec accuracy=59.829814 loss=1.682869 lr=0.006216 Epoch[169] Batch [3749]/[3760] Speed: 111.653691 samples/sec accuracy=59.810833 loss=1.683767 lr=0.006209 Batch [0049]/[0303]: acc-top1=57.625000 acc-top5=79.718750 Batch [0099]/[0303]: acc-top1=54.765625 acc-top5=78.359375 Batch [0149]/[0303]: acc-top1=56.437500 acc-top5=78.906250 Batch [0199]/[0303]: acc-top1=59.062500 acc-top5=80.296875 Batch [0249]/[0303]: acc-top1=58.506250 acc-top5=80.131250 Batch [0299]/[0303]: acc-top1=57.932292 acc-top5=80.145833 [Epoch 169] training: accuracy=59.813830 loss=1.683610 [Epoch 169] speed: 97 samples/sec time cost: 2671.284476 [Epoch 169] validation: acc-top1=57.889851 acc-top5=80.136139 loss=1.920007 Epoch[170] Batch [0049]/[3760] Speed: 67.166617 samples/sec accuracy=59.406250 loss=1.710027 lr=0.006202 Epoch[170] Batch [0099]/[3760] Speed: 94.442937 samples/sec accuracy=59.171875 loss=1.703657 lr=0.006196 Epoch[170] Batch [0149]/[3760] Speed: 96.246946 samples/sec accuracy=59.718750 loss=1.679851 lr=0.006189 Epoch[170] Batch [0199]/[3760] Speed: 96.035288 samples/sec accuracy=60.125000 loss=1.658375 lr=0.006183 Epoch[170] Batch [0249]/[3760] Speed: 96.467818 samples/sec accuracy=59.837500 loss=1.667676 lr=0.006177 Epoch[170] Batch [0299]/[3760] Speed: 96.799612 samples/sec accuracy=59.869792 loss=1.667685 lr=0.006171 Epoch[170] Batch [0349]/[3760] Speed: 97.698642 samples/sec accuracy=60.053571 loss=1.662900 lr=0.006165 Epoch[170] Batch [0399]/[3760] Speed: 96.314974 samples/sec accuracy=60.023438 loss=1.660385 lr=0.006158 Epoch[170] Batch [0449]/[3760] Speed: 92.970706 samples/sec accuracy=59.958333 loss=1.661690 lr=0.006152 Epoch[170] Batch [0499]/[3760] Speed: 100.782746 samples/sec accuracy=59.956250 loss=1.659877 lr=0.006146 Epoch[170] Batch [0549]/[3760] Speed: 95.783153 samples/sec accuracy=60.110795 loss=1.655795 lr=0.006140 Epoch[170] Batch [0599]/[3760] Speed: 98.251188 samples/sec accuracy=60.221354 loss=1.651167 lr=0.006134 Epoch[170] Batch [0649]/[3760] Speed: 95.927239 samples/sec accuracy=60.314904 loss=1.649671 lr=0.006127 Epoch[170] Batch [0699]/[3760] Speed: 98.122258 samples/sec accuracy=60.319196 loss=1.649781 lr=0.006121 Epoch[170] Batch [0749]/[3760] Speed: 97.441666 samples/sec accuracy=60.210417 loss=1.653316 lr=0.006115 Epoch[170] Batch [0799]/[3760] Speed: 95.585852 samples/sec accuracy=60.271484 loss=1.649177 lr=0.006109 Epoch[170] Batch [0849]/[3760] Speed: 98.266554 samples/sec accuracy=60.281250 loss=1.648965 lr=0.006103 Epoch[170] Batch [0899]/[3760] Speed: 94.825765 samples/sec accuracy=60.309028 loss=1.648416 lr=0.006097 Epoch[170] Batch [0949]/[3760] Speed: 98.069753 samples/sec accuracy=60.325658 loss=1.648551 lr=0.006090 Epoch[170] Batch [0999]/[3760] Speed: 96.784913 samples/sec accuracy=60.368750 loss=1.647835 lr=0.006084 Epoch[170] Batch [1049]/[3760] Speed: 97.530907 samples/sec accuracy=60.351190 loss=1.647179 lr=0.006078 Epoch[170] Batch [1099]/[3760] Speed: 94.433637 samples/sec accuracy=60.389205 loss=1.647701 lr=0.006072 Epoch[170] Batch [1149]/[3760] Speed: 98.710582 samples/sec accuracy=60.410326 loss=1.646046 lr=0.006066 Epoch[170] Batch [1199]/[3760] Speed: 97.958749 samples/sec accuracy=60.458333 loss=1.644210 lr=0.006060 Epoch[170] Batch [1249]/[3760] Speed: 97.603583 samples/sec accuracy=60.442500 loss=1.645886 lr=0.006053 Epoch[170] Batch [1299]/[3760] Speed: 97.417791 samples/sec accuracy=60.501202 loss=1.643609 lr=0.006047 Epoch[170] Batch [1349]/[3760] Speed: 96.573130 samples/sec accuracy=60.489583 loss=1.644168 lr=0.006041 Epoch[170] Batch [1399]/[3760] Speed: 97.619300 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lr=0.005750 Batch [0049]/[0303]: acc-top1=57.187500 acc-top5=79.875000 Batch [0099]/[0303]: acc-top1=54.656250 acc-top5=78.687500 Batch [0149]/[0303]: acc-top1=56.072917 acc-top5=79.354167 Batch [0199]/[0303]: acc-top1=58.593750 acc-top5=80.570312 Batch [0249]/[0303]: acc-top1=58.081250 acc-top5=80.318750 Batch [0299]/[0303]: acc-top1=57.572917 acc-top5=80.380208 [Epoch 170] training: accuracy=60.334109 loss=1.657159 [Epoch 170] speed: 96 samples/sec time cost: 2680.333938 [Epoch 170] validation: acc-top1=57.544348 acc-top5=80.419761 loss=1.912738 Epoch[171] Batch [0049]/[3759] Speed: 67.383114 samples/sec accuracy=61.000000 loss=1.650746 lr=0.005742 Epoch[171] Batch [0099]/[3759] Speed: 93.356247 samples/sec accuracy=60.406250 loss=1.660933 lr=0.005736 Epoch[171] Batch [0149]/[3759] Speed: 97.159526 samples/sec accuracy=60.281250 loss=1.653018 lr=0.005730 Epoch[171] Batch [0199]/[3759] Speed: 95.277880 samples/sec accuracy=60.585938 loss=1.639488 lr=0.005724 Epoch[171] Batch 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accuracy=60.997768 loss=1.626577 lr=0.005665 Epoch[171] Batch [0749]/[3759] Speed: 97.003831 samples/sec accuracy=60.893750 loss=1.629323 lr=0.005659 Epoch[171] Batch [0799]/[3759] Speed: 98.054460 samples/sec accuracy=60.787109 loss=1.632486 lr=0.005653 Epoch[171] Batch [0849]/[3759] Speed: 96.055051 samples/sec accuracy=60.803309 loss=1.631617 lr=0.005647 Epoch[171] Batch [0899]/[3759] Speed: 95.507528 samples/sec accuracy=60.810764 loss=1.631712 lr=0.005641 Epoch[171] Batch [0949]/[3759] Speed: 97.287261 samples/sec accuracy=60.853618 loss=1.630605 lr=0.005635 Epoch[171] Batch [0999]/[3759] Speed: 96.473077 samples/sec accuracy=60.851562 loss=1.631131 lr=0.005629 Epoch[171] Batch [1049]/[3759] Speed: 98.016088 samples/sec accuracy=60.857143 loss=1.632231 lr=0.005623 Epoch[171] Batch [1099]/[3759] Speed: 97.861532 samples/sec accuracy=60.840909 loss=1.632692 lr=0.005617 Epoch[171] Batch [1149]/[3759] Speed: 98.099176 samples/sec accuracy=60.813859 loss=1.633521 lr=0.005611 Epoch[171] 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accuracy=60.908144 loss=1.632515 lr=0.005552 Epoch[171] Batch [1699]/[3759] Speed: 98.092750 samples/sec accuracy=60.934743 loss=1.631618 lr=0.005546 Epoch[171] Batch [1749]/[3759] Speed: 98.195549 samples/sec accuracy=60.973214 loss=1.630081 lr=0.005540 Epoch[171] Batch [1799]/[3759] Speed: 96.124918 samples/sec accuracy=60.973090 loss=1.630286 lr=0.005534 Epoch[171] Batch [1849]/[3759] Speed: 94.845514 samples/sec accuracy=60.972128 loss=1.631357 lr=0.005528 Epoch[171] Batch [1899]/[3759] Speed: 99.097834 samples/sec accuracy=60.962171 loss=1.630562 lr=0.005522 Epoch[171] Batch [1949]/[3759] Speed: 97.935765 samples/sec accuracy=60.920673 loss=1.632378 lr=0.005516 Epoch[171] Batch [1999]/[3759] Speed: 97.310289 samples/sec accuracy=60.932031 loss=1.632134 lr=0.005511 Epoch[171] Batch [2049]/[3759] Speed: 97.533764 samples/sec accuracy=60.913110 loss=1.632555 lr=0.005505 Epoch[171] Batch [2099]/[3759] Speed: 97.215271 samples/sec accuracy=60.918899 loss=1.632465 lr=0.005499 Epoch[171] 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accuracy=60.932091 loss=1.631788 lr=0.005440 Epoch[171] Batch [2649]/[3759] Speed: 97.043121 samples/sec accuracy=60.937500 loss=1.631872 lr=0.005434 Epoch[171] Batch [2699]/[3759] Speed: 98.156912 samples/sec accuracy=60.913194 loss=1.632306 lr=0.005428 Epoch[171] Batch [2749]/[3759] Speed: 96.855123 samples/sec accuracy=60.923864 loss=1.632841 lr=0.005423 Epoch[171] Batch [2799]/[3759] Speed: 97.373572 samples/sec accuracy=60.952009 loss=1.631976 lr=0.005417 Epoch[171] Batch [2849]/[3759] Speed: 95.723613 samples/sec accuracy=60.931469 loss=1.632743 lr=0.005411 Epoch[171] Batch [2899]/[3759] Speed: 96.906742 samples/sec accuracy=60.913793 loss=1.633395 lr=0.005405 Epoch[171] Batch [2949]/[3759] Speed: 98.015769 samples/sec accuracy=60.904661 loss=1.633800 lr=0.005399 Epoch[171] Batch [2999]/[3759] Speed: 98.110026 samples/sec accuracy=60.888021 loss=1.634346 lr=0.005393 Epoch[171] Batch [3049]/[3759] Speed: 97.332325 samples/sec accuracy=60.868852 loss=1.635247 lr=0.005388 Epoch[171] Batch [3099]/[3759] Speed: 97.691556 samples/sec accuracy=60.866431 loss=1.634969 lr=0.005382 Epoch[171] Batch [3149]/[3759] Speed: 95.054177 samples/sec accuracy=60.836310 loss=1.635976 lr=0.005376 Epoch[171] Batch [3199]/[3759] Speed: 98.758994 samples/sec accuracy=60.835449 loss=1.635668 lr=0.005370 Epoch[171] Batch [3249]/[3759] Speed: 97.110165 samples/sec accuracy=60.830288 loss=1.635342 lr=0.005364 Epoch[171] Batch [3299]/[3759] Speed: 97.854575 samples/sec accuracy=60.830492 loss=1.636163 lr=0.005359 Epoch[171] Batch [3349]/[3759] Speed: 96.101606 samples/sec accuracy=60.843750 loss=1.635656 lr=0.005353 Epoch[171] Batch [3399]/[3759] Speed: 97.681384 samples/sec accuracy=60.818934 loss=1.636228 lr=0.005347 Epoch[171] Batch [3449]/[3759] Speed: 97.711599 samples/sec accuracy=60.825181 loss=1.635910 lr=0.005341 Epoch[171] Batch [3499]/[3759] Speed: 95.163931 samples/sec accuracy=60.813393 loss=1.635617 lr=0.005335 Epoch[171] Batch [3549]/[3759] Speed: 98.317645 samples/sec accuracy=60.808979 loss=1.635705 lr=0.005330 Epoch[171] Batch [3599]/[3759] Speed: 97.193749 samples/sec accuracy=60.811198 loss=1.634934 lr=0.005324 Epoch[171] Batch [3649]/[3759] Speed: 97.903050 samples/sec accuracy=60.805223 loss=1.634994 lr=0.005318 Epoch[171] Batch [3699]/[3759] Speed: 96.742844 samples/sec accuracy=60.799409 loss=1.635376 lr=0.005312 Epoch[171] Batch [3749]/[3759] Speed: 112.412828 samples/sec accuracy=60.804167 loss=1.635052 lr=0.005306 Batch [0049]/[0303]: acc-top1=59.031250 acc-top5=80.000000 Batch [0099]/[0303]: acc-top1=56.125000 acc-top5=79.187500 Batch [0149]/[0303]: acc-top1=57.104167 acc-top5=79.625000 Batch [0199]/[0303]: acc-top1=59.734375 acc-top5=80.984375 Batch [0249]/[0303]: acc-top1=58.912500 acc-top5=80.768750 Batch [0299]/[0303]: acc-top1=58.239583 acc-top5=80.838542 [Epoch 171] training: accuracy=60.808643 loss=1.634954 [Epoch 171] speed: 96 samples/sec time cost: 2674.766317 [Epoch 171] validation: acc-top1=58.230198 acc-top5=80.873556 loss=1.909197 Epoch[172] Batch [0049]/[3760] Speed: 67.051123 samples/sec accuracy=61.656250 loss=1.577143 lr=0.005300 Epoch[172] Batch [0099]/[3760] Speed: 94.579875 samples/sec accuracy=61.859375 loss=1.580647 lr=0.005294 Epoch[172] Batch [0149]/[3760] Speed: 98.131577 samples/sec accuracy=61.562500 loss=1.592702 lr=0.005288 Epoch[172] Batch [0199]/[3760] Speed: 94.604984 samples/sec accuracy=61.257812 loss=1.606755 lr=0.005282 Epoch[172] Batch [0249]/[3760] Speed: 98.793749 samples/sec accuracy=61.431250 loss=1.591890 lr=0.005276 Epoch[172] Batch [0299]/[3760] Speed: 96.777653 samples/sec accuracy=61.432292 loss=1.596596 lr=0.005271 Epoch[172] Batch [0349]/[3760] Speed: 95.523748 samples/sec accuracy=61.473214 loss=1.596032 lr=0.005265 Epoch[172] Batch [0399]/[3760] Speed: 99.475943 samples/sec accuracy=61.539062 loss=1.587169 lr=0.005259 Epoch[172] Batch [0449]/[3760] Speed: 97.056557 samples/sec accuracy=61.506944 loss=1.589437 lr=0.005253 Epoch[172] Batch [0499]/[3760] Speed: 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lr=0.005196 Epoch[172] Batch [0999]/[3760] Speed: 94.645242 samples/sec accuracy=61.589063 loss=1.589890 lr=0.005190 Epoch[172] Batch [1049]/[3760] Speed: 101.036774 samples/sec accuracy=61.552083 loss=1.593363 lr=0.005185 Epoch[172] Batch [1099]/[3760] Speed: 97.176100 samples/sec accuracy=61.464489 loss=1.595889 lr=0.005179 Epoch[172] Batch [1149]/[3760] Speed: 99.034324 samples/sec accuracy=61.437500 loss=1.597541 lr=0.005173 Epoch[172] Batch [1199]/[3760] Speed: 98.085842 samples/sec accuracy=61.420573 loss=1.597578 lr=0.005167 Epoch[172] Batch [1249]/[3760] Speed: 98.089679 samples/sec accuracy=61.427500 loss=1.598273 lr=0.005162 Epoch[172] Batch [1299]/[3760] Speed: 97.595805 samples/sec accuracy=61.431490 loss=1.598562 lr=0.005156 Epoch[172] Batch [1349]/[3760] Speed: 96.498640 samples/sec accuracy=61.414352 loss=1.600270 lr=0.005150 Epoch[172] Batch [1399]/[3760] Speed: 98.415342 samples/sec accuracy=61.455357 loss=1.600406 lr=0.005145 Epoch[172] Batch [1449]/[3760] Speed: 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lr=0.005088 Epoch[172] Batch [1949]/[3760] Speed: 97.719411 samples/sec accuracy=61.345353 loss=1.606525 lr=0.005082 Epoch[172] Batch [1999]/[3760] Speed: 97.116113 samples/sec accuracy=61.366406 loss=1.605161 lr=0.005076 Epoch[172] Batch [2049]/[3760] Speed: 98.246819 samples/sec accuracy=61.363567 loss=1.605101 lr=0.005071 Epoch[172] Batch [2099]/[3760] Speed: 96.816551 samples/sec accuracy=61.386905 loss=1.604742 lr=0.005065 Epoch[172] Batch [2149]/[3760] Speed: 97.741433 samples/sec accuracy=61.390988 loss=1.604863 lr=0.005059 Epoch[172] Batch [2199]/[3760] Speed: 97.035228 samples/sec accuracy=61.384233 loss=1.605001 lr=0.005054 Epoch[172] Batch [2249]/[3760] Speed: 99.156451 samples/sec accuracy=61.354861 loss=1.606327 lr=0.005048 Epoch[172] Batch [2299]/[3760] Speed: 94.016830 samples/sec accuracy=61.389946 loss=1.605571 lr=0.005043 Epoch[172] Batch [2349]/[3760] Speed: 99.839905 samples/sec accuracy=61.423537 loss=1.604462 lr=0.005037 Epoch[172] Batch [2399]/[3760] Speed: 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lr=0.004981 Epoch[172] Batch [2899]/[3760] Speed: 98.462688 samples/sec accuracy=61.404095 loss=1.605504 lr=0.004975 Epoch[172] Batch [2949]/[3760] Speed: 98.118970 samples/sec accuracy=61.390360 loss=1.605823 lr=0.004969 Epoch[172] Batch [2999]/[3760] Speed: 96.593182 samples/sec accuracy=61.369271 loss=1.605671 lr=0.004964 Epoch[172] Batch [3049]/[3760] Speed: 98.266838 samples/sec accuracy=61.370902 loss=1.606052 lr=0.004958 Epoch[172] Batch [3099]/[3760] Speed: 97.243906 samples/sec accuracy=61.366431 loss=1.606528 lr=0.004953 Epoch[172] Batch [3149]/[3760] Speed: 97.681316 samples/sec accuracy=61.361111 loss=1.606551 lr=0.004947 Epoch[172] Batch [3199]/[3760] Speed: 96.977141 samples/sec accuracy=61.382812 loss=1.605425 lr=0.004941 Epoch[172] Batch [3249]/[3760] Speed: 98.356012 samples/sec accuracy=61.378846 loss=1.605459 lr=0.004936 Epoch[172] Batch [3299]/[3760] Speed: 96.681405 samples/sec accuracy=61.390152 loss=1.605273 lr=0.004930 Epoch[172] Batch [3349]/[3760] Speed: 98.153909 samples/sec accuracy=61.404851 loss=1.605104 lr=0.004925 Epoch[172] Batch [3399]/[3760] Speed: 97.746133 samples/sec accuracy=61.406710 loss=1.605305 lr=0.004919 Epoch[172] Batch [3449]/[3760] Speed: 97.338431 samples/sec accuracy=61.396739 loss=1.605530 lr=0.004913 Epoch[172] Batch [3499]/[3760] Speed: 98.081513 samples/sec accuracy=61.395536 loss=1.605713 lr=0.004908 Epoch[172] Batch [3549]/[3760] Speed: 97.927119 samples/sec accuracy=61.375000 loss=1.606634 lr=0.004902 Epoch[172] Batch [3599]/[3760] Speed: 98.315015 samples/sec accuracy=61.381076 loss=1.606328 lr=0.004897 Epoch[172] Batch [3649]/[3760] Speed: 96.527249 samples/sec accuracy=61.390839 loss=1.606318 lr=0.004891 Epoch[172] Batch [3699]/[3760] Speed: 97.673534 samples/sec accuracy=61.388936 loss=1.606463 lr=0.004886 Epoch[172] Batch [3749]/[3760] Speed: 112.406622 samples/sec accuracy=61.411667 loss=1.605983 lr=0.004880 Batch [0049]/[0303]: acc-top1=58.562500 acc-top5=80.625000 Batch [0099]/[0303]: acc-top1=55.156250 acc-top5=79.250000 Batch [0149]/[0303]: acc-top1=56.875000 acc-top5=79.864583 Batch [0199]/[0303]: acc-top1=59.726562 acc-top5=81.382812 Batch [0249]/[0303]: acc-top1=59.168750 acc-top5=80.975000 Batch [0299]/[0303]: acc-top1=58.427083 acc-top5=80.739583 [Epoch 172] training: accuracy=61.414146 loss=1.605909 [Epoch 172] speed: 97 samples/sec time cost: 2662.752099 [Epoch 172] validation: acc-top1=58.369431 acc-top5=80.703383 loss=1.895740 Epoch[173] Batch [0049]/[3760] Speed: 68.086352 samples/sec accuracy=61.343750 loss=1.531650 lr=0.004873 Epoch[173] Batch [0099]/[3760] Speed: 95.824257 samples/sec accuracy=60.968750 loss=1.585079 lr=0.004868 Epoch[173] Batch [0149]/[3760] Speed: 97.253005 samples/sec accuracy=61.052083 loss=1.596137 lr=0.004862 Epoch[173] Batch [0199]/[3760] Speed: 97.407719 samples/sec accuracy=61.023438 loss=1.598857 lr=0.004857 Epoch[173] Batch [0249]/[3760] Speed: 98.379937 samples/sec accuracy=61.187500 loss=1.593039 lr=0.004851 Epoch[173] 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accuracy=61.895833 loss=1.575978 lr=0.004796 Epoch[173] Batch [0799]/[3760] Speed: 96.963873 samples/sec accuracy=61.931641 loss=1.574519 lr=0.004790 Epoch[173] Batch [0849]/[3760] Speed: 98.170778 samples/sec accuracy=62.045956 loss=1.571670 lr=0.004785 Epoch[173] Batch [0899]/[3760] Speed: 97.438579 samples/sec accuracy=62.092014 loss=1.571099 lr=0.004779 Epoch[173] Batch [0949]/[3760] Speed: 98.170596 samples/sec accuracy=62.189145 loss=1.567369 lr=0.004774 Epoch[173] Batch [0999]/[3760] Speed: 98.580939 samples/sec accuracy=62.181250 loss=1.569017 lr=0.004768 Epoch[173] Batch [1049]/[3760] Speed: 98.136842 samples/sec accuracy=62.159226 loss=1.571734 lr=0.004763 Epoch[173] Batch [1099]/[3760] Speed: 96.975160 samples/sec accuracy=62.129261 loss=1.573160 lr=0.004757 Epoch[173] Batch [1149]/[3760] Speed: 96.930860 samples/sec accuracy=62.123641 loss=1.573274 lr=0.004752 Epoch[173] Batch [1199]/[3760] Speed: 96.857649 samples/sec accuracy=62.141927 loss=1.573210 lr=0.004746 Epoch[173] 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accuracy=62.295037 loss=1.569705 lr=0.004692 Epoch[173] Batch [1749]/[3760] Speed: 98.427377 samples/sec accuracy=62.285714 loss=1.570085 lr=0.004686 Epoch[173] Batch [1799]/[3760] Speed: 97.069685 samples/sec accuracy=62.269965 loss=1.570169 lr=0.004681 Epoch[173] Batch [1849]/[3760] Speed: 97.445227 samples/sec accuracy=62.240709 loss=1.571212 lr=0.004675 Epoch[173] Batch [1899]/[3760] Speed: 98.214732 samples/sec accuracy=62.220395 loss=1.571999 lr=0.004670 Epoch[173] Batch [1949]/[3760] Speed: 97.962883 samples/sec accuracy=62.198718 loss=1.573616 lr=0.004665 Epoch[173] Batch [1999]/[3760] Speed: 97.760994 samples/sec accuracy=62.206250 loss=1.573130 lr=0.004659 Epoch[173] Batch [2049]/[3760] Speed: 97.922231 samples/sec accuracy=62.211890 loss=1.572801 lr=0.004654 Epoch[173] Batch [2099]/[3760] Speed: 94.300602 samples/sec accuracy=62.184524 loss=1.573807 lr=0.004648 Epoch[173] Batch [2149]/[3760] Speed: 100.383240 samples/sec accuracy=62.184593 loss=1.574006 lr=0.004643 Epoch[173] Batch [2199]/[3760] Speed: 97.507136 samples/sec accuracy=62.214489 loss=1.572559 lr=0.004637 Epoch[173] Batch [2249]/[3760] Speed: 97.469846 samples/sec accuracy=62.231250 loss=1.571784 lr=0.004632 Epoch[173] Batch [2299]/[3760] Speed: 98.143116 samples/sec accuracy=62.252038 loss=1.570077 lr=0.004627 Epoch[173] Batch [2349]/[3760] Speed: 98.855060 samples/sec accuracy=62.249335 loss=1.571209 lr=0.004621 Epoch[173] Batch [2399]/[3760] Speed: 98.007351 samples/sec accuracy=62.266927 loss=1.571121 lr=0.004616 Epoch[173] Batch [2449]/[3760] Speed: 96.822054 samples/sec accuracy=62.250638 loss=1.571249 lr=0.004610 Epoch[173] Batch [2499]/[3760] Speed: 98.192359 samples/sec accuracy=62.222500 loss=1.571768 lr=0.004605 Epoch[173] Batch [2549]/[3760] Speed: 97.791358 samples/sec accuracy=62.210172 loss=1.572573 lr=0.004599 Epoch[173] Batch [2599]/[3760] Speed: 98.471530 samples/sec accuracy=62.212139 loss=1.572137 lr=0.004594 Epoch[173] Batch [2649]/[3760] Speed: 98.108584 samples/sec accuracy=62.204009 loss=1.572686 lr=0.004589 Epoch[173] Batch [2699]/[3760] Speed: 98.333059 samples/sec accuracy=62.188657 loss=1.573076 lr=0.004583 Epoch[173] Batch [2749]/[3760] Speed: 97.769046 samples/sec accuracy=62.169886 loss=1.573328 lr=0.004578 Epoch[173] Batch [2799]/[3760] Speed: 96.571321 samples/sec accuracy=62.150112 loss=1.573527 lr=0.004572 Epoch[173] Batch [2849]/[3760] Speed: 98.638726 samples/sec accuracy=62.180373 loss=1.572738 lr=0.004567 Epoch[173] Batch [2899]/[3760] Speed: 98.579130 samples/sec accuracy=62.177263 loss=1.573034 lr=0.004562 Epoch[173] Batch [2949]/[3760] Speed: 96.969028 samples/sec accuracy=62.194386 loss=1.572610 lr=0.004556 Epoch[173] Batch [2999]/[3760] Speed: 98.530780 samples/sec accuracy=62.172396 loss=1.573270 lr=0.004551 Epoch[173] Batch [3049]/[3760] Speed: 96.639611 samples/sec accuracy=62.189549 loss=1.572700 lr=0.004546 Epoch[173] Batch [3099]/[3760] Speed: 95.662572 samples/sec accuracy=62.193548 loss=1.572650 lr=0.004540 Epoch[173] Batch [3149]/[3760] Speed: 97.652026 samples/sec accuracy=62.181548 loss=1.572855 lr=0.004535 Epoch[173] Batch [3199]/[3760] Speed: 97.229646 samples/sec accuracy=62.170898 loss=1.573278 lr=0.004529 Epoch[173] Batch [3249]/[3760] Speed: 97.479325 samples/sec accuracy=62.176442 loss=1.572864 lr=0.004524 Epoch[173] Batch [3299]/[3760] Speed: 97.973260 samples/sec accuracy=62.169981 loss=1.573478 lr=0.004519 Epoch[173] Batch [3349]/[3760] Speed: 96.267379 samples/sec accuracy=62.153451 loss=1.574251 lr=0.004513 Epoch[173] Batch [3399]/[3760] Speed: 98.731019 samples/sec accuracy=62.155331 loss=1.573991 lr=0.004508 Epoch[173] Batch [3449]/[3760] Speed: 95.518639 samples/sec accuracy=62.161232 loss=1.573131 lr=0.004503 Epoch[173] Batch [3499]/[3760] Speed: 98.379250 samples/sec accuracy=62.164732 loss=1.572894 lr=0.004497 Epoch[173] Batch [3549]/[3760] Speed: 95.705079 samples/sec accuracy=62.159331 loss=1.573038 lr=0.004492 Epoch[173] Batch [3599]/[3760] Speed: 97.661352 samples/sec accuracy=62.162760 loss=1.573094 lr=0.004487 Epoch[173] Batch [3649]/[3760] Speed: 97.400500 samples/sec accuracy=62.157106 loss=1.573690 lr=0.004481 Epoch[173] Batch [3699]/[3760] Speed: 97.102928 samples/sec accuracy=62.135980 loss=1.574659 lr=0.004476 Epoch[173] Batch [3749]/[3760] Speed: 106.662698 samples/sec accuracy=62.130000 loss=1.574701 lr=0.004471 Batch [0049]/[0303]: acc-top1=59.125000 acc-top5=80.937500 Batch [0099]/[0303]: acc-top1=56.015625 acc-top5=79.468750 Batch [0149]/[0303]: acc-top1=57.447917 acc-top5=79.864583 Batch [0199]/[0303]: acc-top1=60.156250 acc-top5=81.546875 Batch [0249]/[0303]: acc-top1=59.556250 acc-top5=81.293750 Batch [0299]/[0303]: acc-top1=58.734375 acc-top5=81.291667 [Epoch 173] training: accuracy=62.124335 loss=1.574886 [Epoch 173] speed: 97 samples/sec time cost: 2664.238352 [Epoch 173] validation: acc-top1=58.730404 acc-top5=81.280941 loss=1.881240 Epoch[174] Batch [0049]/[3759] Speed: 66.732908 samples/sec accuracy=63.593750 loss=1.520491 lr=0.004464 Epoch[174] Batch [0099]/[3759] Speed: 94.276440 samples/sec accuracy=63.234375 loss=1.537698 lr=0.004459 Epoch[174] Batch [0149]/[3759] Speed: 98.210445 samples/sec accuracy=63.531250 loss=1.521475 lr=0.004454 Epoch[174] Batch [0199]/[3759] Speed: 93.758760 samples/sec accuracy=63.234375 loss=1.524854 lr=0.004448 Epoch[174] Batch [0249]/[3759] Speed: 95.288441 samples/sec accuracy=62.893750 loss=1.533899 lr=0.004443 Epoch[174] Batch [0299]/[3759] Speed: 97.112976 samples/sec accuracy=63.166667 loss=1.523963 lr=0.004438 Epoch[174] Batch [0349]/[3759] Speed: 98.072130 samples/sec accuracy=62.973214 loss=1.530632 lr=0.004432 Epoch[174] Batch [0399]/[3759] Speed: 97.469727 samples/sec accuracy=62.851562 loss=1.534009 lr=0.004427 Epoch[174] Batch [0449]/[3759] Speed: 97.046871 samples/sec accuracy=62.902778 loss=1.530699 lr=0.004422 Epoch[174] Batch [0499]/[3759] Speed: 98.229726 samples/sec accuracy=62.993750 loss=1.527400 lr=0.004416 Epoch[174] 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accuracy=62.900000 loss=1.537628 lr=0.004364 Epoch[174] Batch [1049]/[3759] Speed: 97.643848 samples/sec accuracy=62.895833 loss=1.536469 lr=0.004358 Epoch[174] Batch [1099]/[3759] Speed: 96.218020 samples/sec accuracy=62.903409 loss=1.535192 lr=0.004353 Epoch[174] Batch [1149]/[3759] Speed: 97.676027 samples/sec accuracy=62.929348 loss=1.536319 lr=0.004348 Epoch[174] Batch [1199]/[3759] Speed: 97.711928 samples/sec accuracy=62.916667 loss=1.537201 lr=0.004343 Epoch[174] Batch [1249]/[3759] Speed: 96.277864 samples/sec accuracy=62.903750 loss=1.538170 lr=0.004337 Epoch[174] Batch [1299]/[3759] Speed: 96.662390 samples/sec accuracy=62.876202 loss=1.541161 lr=0.004332 Epoch[174] Batch [1349]/[3759] Speed: 97.009570 samples/sec accuracy=62.800926 loss=1.543694 lr=0.004327 Epoch[174] Batch [1399]/[3759] Speed: 97.483422 samples/sec accuracy=62.815848 loss=1.544738 lr=0.004322 Epoch[174] Batch [1449]/[3759] Speed: 97.585314 samples/sec accuracy=62.810345 loss=1.544410 lr=0.004316 Epoch[174] 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accuracy=62.717949 loss=1.546132 lr=0.004264 Epoch[174] Batch [1999]/[3759] Speed: 97.463957 samples/sec accuracy=62.706250 loss=1.546196 lr=0.004259 Epoch[174] Batch [2049]/[3759] Speed: 97.858340 samples/sec accuracy=62.698933 loss=1.546785 lr=0.004254 Epoch[174] Batch [2099]/[3759] Speed: 96.759973 samples/sec accuracy=62.686012 loss=1.546975 lr=0.004248 Epoch[174] Batch [2149]/[3759] Speed: 97.582982 samples/sec accuracy=62.686047 loss=1.547244 lr=0.004243 Epoch[174] Batch [2199]/[3759] Speed: 97.267535 samples/sec accuracy=62.682528 loss=1.547082 lr=0.004238 Epoch[174] Batch [2249]/[3759] Speed: 95.666594 samples/sec accuracy=62.677778 loss=1.547676 lr=0.004233 Epoch[174] Batch [2299]/[3759] Speed: 97.094135 samples/sec accuracy=62.682065 loss=1.547418 lr=0.004228 Epoch[174] Batch [2349]/[3759] Speed: 97.875648 samples/sec accuracy=62.693484 loss=1.547540 lr=0.004222 Epoch[174] Batch [2399]/[3759] Speed: 97.846624 samples/sec accuracy=62.703125 loss=1.547371 lr=0.004217 Epoch[174] 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accuracy=62.714978 loss=1.547380 lr=0.004166 Epoch[174] Batch [2949]/[3759] Speed: 97.534688 samples/sec accuracy=62.711335 loss=1.547782 lr=0.004160 Epoch[174] Batch [2999]/[3759] Speed: 96.793945 samples/sec accuracy=62.717188 loss=1.547832 lr=0.004155 Epoch[174] Batch [3049]/[3759] Speed: 97.578269 samples/sec accuracy=62.695184 loss=1.548782 lr=0.004150 Epoch[174] Batch [3099]/[3759] Speed: 97.723466 samples/sec accuracy=62.697077 loss=1.548991 lr=0.004145 Epoch[174] Batch [3149]/[3759] Speed: 97.132276 samples/sec accuracy=62.688492 loss=1.549817 lr=0.004140 Epoch[174] Batch [3199]/[3759] Speed: 98.047618 samples/sec accuracy=62.695801 loss=1.549811 lr=0.004135 Epoch[174] Batch [3249]/[3759] Speed: 95.539365 samples/sec accuracy=62.672596 loss=1.550566 lr=0.004130 Epoch[174] Batch [3299]/[3759] Speed: 97.719166 samples/sec accuracy=62.671402 loss=1.550481 lr=0.004124 Epoch[174] Batch [3349]/[3759] Speed: 98.002782 samples/sec accuracy=62.666978 loss=1.550282 lr=0.004119 Epoch[174] Batch [3399]/[3759] Speed: 96.982961 samples/sec accuracy=62.671415 loss=1.549899 lr=0.004114 Epoch[174] Batch [3449]/[3759] Speed: 97.952606 samples/sec accuracy=62.665761 loss=1.550057 lr=0.004109 Epoch[174] Batch [3499]/[3759] Speed: 96.615339 samples/sec accuracy=62.666964 loss=1.549887 lr=0.004104 Epoch[174] Batch [3549]/[3759] Speed: 95.776079 samples/sec accuracy=62.647887 loss=1.550426 lr=0.004099 Epoch[174] Batch [3599]/[3759] Speed: 98.157227 samples/sec accuracy=62.649740 loss=1.550797 lr=0.004094 Epoch[174] Batch [3649]/[3759] Speed: 97.169190 samples/sec accuracy=62.669521 loss=1.550003 lr=0.004089 Epoch[174] Batch [3699]/[3759] Speed: 97.711288 samples/sec accuracy=62.677365 loss=1.549257 lr=0.004083 Epoch[174] Batch [3749]/[3759] Speed: 111.521006 samples/sec accuracy=62.675000 loss=1.549258 lr=0.004078 Batch [0049]/[0303]: acc-top1=59.156250 acc-top5=81.125000 Batch [0099]/[0303]: acc-top1=56.421875 acc-top5=79.671875 Batch [0149]/[0303]: acc-top1=58.333333 acc-top5=80.552083 Batch [0199]/[0303]: acc-top1=60.804688 acc-top5=82.054688 Batch [0249]/[0303]: acc-top1=60.125000 acc-top5=81.737500 Batch [0299]/[0303]: acc-top1=59.479167 acc-top5=81.666667 [Epoch 174] training: accuracy=62.679153 loss=1.549285 [Epoch 174] speed: 96 samples/sec time cost: 2677.038157 [Epoch 174] validation: acc-top1=59.478135 acc-top5=81.708952 loss=1.851955 Epoch[175] Batch [0049]/[3760] Speed: 66.488863 samples/sec accuracy=62.750000 loss=1.566671 lr=0.004072 Epoch[175] Batch [0099]/[3760] Speed: 92.946699 samples/sec accuracy=62.656250 loss=1.558784 lr=0.004067 Epoch[175] Batch [0149]/[3760] Speed: 98.197750 samples/sec accuracy=63.218750 loss=1.531906 lr=0.004062 Epoch[175] Batch [0199]/[3760] Speed: 96.616723 samples/sec accuracy=62.859375 loss=1.546606 lr=0.004057 Epoch[175] Batch [0249]/[3760] Speed: 98.554177 samples/sec accuracy=63.156250 loss=1.532071 lr=0.004052 Epoch[175] Batch [0299]/[3760] Speed: 96.926659 samples/sec accuracy=63.197917 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accuracy=63.300000 loss=1.517288 lr=0.003951 Epoch[175] Batch [1299]/[3760] Speed: 96.898227 samples/sec accuracy=63.289663 loss=1.518396 lr=0.003946 Epoch[175] Batch [1349]/[3760] Speed: 98.237939 samples/sec accuracy=63.275463 loss=1.518402 lr=0.003941 Epoch[175] Batch [1399]/[3760] Speed: 97.112322 samples/sec accuracy=63.264509 loss=1.518300 lr=0.003936 Epoch[175] Batch [1449]/[3760] Speed: 96.588426 samples/sec accuracy=63.268319 loss=1.517078 lr=0.003931 Epoch[175] Batch [1499]/[3760] Speed: 96.838922 samples/sec accuracy=63.219792 loss=1.519156 lr=0.003926 Epoch[175] Batch [1549]/[3760] Speed: 97.653263 samples/sec accuracy=63.219758 loss=1.519156 lr=0.003921 Epoch[175] Batch [1599]/[3760] Speed: 97.995539 samples/sec accuracy=63.214844 loss=1.519936 lr=0.003916 Epoch[175] Batch [1649]/[3760] Speed: 98.691234 samples/sec accuracy=63.195076 loss=1.521005 lr=0.003911 Epoch[175] Batch [1699]/[3760] Speed: 97.881429 samples/sec accuracy=63.170037 loss=1.522880 lr=0.003906 Epoch[175] 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accuracy=63.125710 loss=1.523796 lr=0.003856 Epoch[175] Batch [2249]/[3760] Speed: 97.706421 samples/sec accuracy=63.125694 loss=1.524158 lr=0.003851 Epoch[175] Batch [2299]/[3760] Speed: 97.661895 samples/sec accuracy=63.133832 loss=1.524159 lr=0.003846 Epoch[175] Batch [2349]/[3760] Speed: 97.288393 samples/sec accuracy=63.167553 loss=1.523129 lr=0.003841 Epoch[175] Batch [2399]/[3760] Speed: 93.799544 samples/sec accuracy=63.179036 loss=1.522609 lr=0.003836 Epoch[175] Batch [2449]/[3760] Speed: 99.961805 samples/sec accuracy=63.153061 loss=1.523127 lr=0.003831 Epoch[175] Batch [2499]/[3760] Speed: 98.249611 samples/sec accuracy=63.170625 loss=1.522508 lr=0.003826 Epoch[175] Batch [2549]/[3760] Speed: 97.046603 samples/sec accuracy=63.174020 loss=1.522599 lr=0.003821 Epoch[175] Batch [2599]/[3760] Speed: 97.743831 samples/sec accuracy=63.141226 loss=1.523428 lr=0.003816 Epoch[175] Batch [2649]/[3760] Speed: 98.241650 samples/sec accuracy=63.145637 loss=1.524125 lr=0.003811 Epoch[175] Batch [2699]/[3760] Speed: 96.766318 samples/sec accuracy=63.140046 loss=1.524033 lr=0.003806 Epoch[175] Batch [2749]/[3760] Speed: 96.472163 samples/sec accuracy=63.148295 loss=1.524077 lr=0.003802 Epoch[175] Batch [2799]/[3760] Speed: 98.025347 samples/sec accuracy=63.121094 loss=1.524542 lr=0.003797 Epoch[175] Batch [2849]/[3760] Speed: 97.285648 samples/sec accuracy=63.117873 loss=1.524839 lr=0.003792 Epoch[175] Batch [2899]/[3760] Speed: 98.498967 samples/sec accuracy=63.105065 loss=1.525613 lr=0.003787 Epoch[175] Batch [2949]/[3760] Speed: 97.713520 samples/sec accuracy=63.102754 loss=1.525632 lr=0.003782 Epoch[175] Batch [2999]/[3760] Speed: 97.871277 samples/sec accuracy=63.072396 loss=1.526010 lr=0.003777 Epoch[175] Batch [3049]/[3760] Speed: 97.048060 samples/sec accuracy=63.050205 loss=1.526347 lr=0.003772 Epoch[175] Batch [3099]/[3760] Speed: 95.972776 samples/sec accuracy=63.081149 loss=1.526158 lr=0.003767 Epoch[175] Batch [3149]/[3760] Speed: 97.342714 samples/sec accuracy=63.093750 loss=1.525091 lr=0.003762 Epoch[175] Batch [3199]/[3760] Speed: 97.005083 samples/sec accuracy=63.102051 loss=1.525629 lr=0.003757 Epoch[175] Batch [3249]/[3760] Speed: 98.595211 samples/sec accuracy=63.084615 loss=1.526198 lr=0.003752 Epoch[175] Batch [3299]/[3760] Speed: 97.143359 samples/sec accuracy=63.076705 loss=1.526667 lr=0.003747 Epoch[175] Batch [3349]/[3760] Speed: 97.368371 samples/sec accuracy=63.088153 loss=1.526970 lr=0.003743 Epoch[175] Batch [3399]/[3760] Speed: 94.866486 samples/sec accuracy=63.098805 loss=1.527152 lr=0.003738 Epoch[175] Batch [3449]/[3760] Speed: 98.641647 samples/sec accuracy=63.108696 loss=1.526767 lr=0.003733 Epoch[175] Batch [3499]/[3760] Speed: 98.222281 samples/sec accuracy=63.125000 loss=1.526357 lr=0.003728 Epoch[175] Batch [3549]/[3760] Speed: 97.490543 samples/sec accuracy=63.128961 loss=1.526081 lr=0.003723 Epoch[175] Batch [3599]/[3760] Speed: 97.254153 samples/sec accuracy=63.129340 loss=1.526558 lr=0.003718 Epoch[175] Batch [3649]/[3760] Speed: 97.181515 samples/sec accuracy=63.116438 loss=1.526934 lr=0.003713 Epoch[175] Batch [3699]/[3760] Speed: 97.921168 samples/sec accuracy=63.108530 loss=1.526954 lr=0.003708 Epoch[175] Batch [3749]/[3760] Speed: 108.364004 samples/sec accuracy=63.130417 loss=1.526179 lr=0.003703 Batch [0049]/[0303]: acc-top1=59.875000 acc-top5=80.406250 Batch [0099]/[0303]: acc-top1=57.078125 acc-top5=80.218750 Batch [0149]/[0303]: acc-top1=58.333333 acc-top5=80.625000 Batch [0199]/[0303]: acc-top1=61.007812 acc-top5=82.125000 Batch [0249]/[0303]: acc-top1=60.362500 acc-top5=81.712500 Batch [0299]/[0303]: acc-top1=59.687500 acc-top5=81.760417 [Epoch 175] training: accuracy=63.130818 loss=1.526108 [Epoch 175] speed: 96 samples/sec time cost: 2670.824963 [Epoch 175] validation: acc-top1=59.632838 acc-top5=81.760520 loss=1.868798 Epoch[176] Batch [0049]/[3760] Speed: 66.914662 samples/sec accuracy=65.000000 loss=1.466028 lr=0.003698 Epoch[176] Batch [0099]/[3760] Speed: 94.436656 samples/sec accuracy=65.171875 loss=1.448181 lr=0.003693 Epoch[176] Batch [0149]/[3760] Speed: 98.551805 samples/sec accuracy=65.302083 loss=1.454781 lr=0.003688 Epoch[176] Batch [0199]/[3760] Speed: 94.839464 samples/sec accuracy=65.625000 loss=1.442970 lr=0.003683 Epoch[176] Batch [0249]/[3760] Speed: 96.281571 samples/sec accuracy=65.325000 loss=1.454966 lr=0.003678 Epoch[176] Batch [0299]/[3760] Speed: 97.225127 samples/sec accuracy=65.151042 loss=1.454569 lr=0.003673 Epoch[176] Batch [0349]/[3760] Speed: 97.800630 samples/sec accuracy=64.852679 loss=1.466445 lr=0.003668 Epoch[176] Batch [0399]/[3760] Speed: 97.938323 samples/sec accuracy=64.621094 loss=1.468855 lr=0.003664 Epoch[176] Batch [0449]/[3760] Speed: 97.306953 samples/sec accuracy=64.506944 loss=1.471679 lr=0.003659 Epoch[176] Batch [0499]/[3760] Speed: 97.758812 samples/sec accuracy=64.465625 loss=1.471205 lr=0.003654 Epoch[176] Batch [0549]/[3760] Speed: 96.537630 samples/sec accuracy=64.400568 loss=1.468723 lr=0.003649 Epoch[176] Batch [0599]/[3760] Speed: 97.847569 samples/sec accuracy=64.351562 loss=1.470042 lr=0.003644 Epoch[176] Batch [0649]/[3760] Speed: 96.839214 samples/sec accuracy=64.362981 loss=1.474269 lr=0.003639 Epoch[176] Batch [0699]/[3760] Speed: 98.639148 samples/sec accuracy=64.310268 loss=1.477711 lr=0.003635 Epoch[176] Batch [0749]/[3760] Speed: 97.131850 samples/sec accuracy=64.214583 loss=1.477574 lr=0.003630 Epoch[176] Batch [0799]/[3760] Speed: 98.211113 samples/sec accuracy=64.275391 loss=1.477639 lr=0.003625 Epoch[176] Batch [0849]/[3760] Speed: 97.458740 samples/sec accuracy=64.209559 loss=1.479372 lr=0.003620 Epoch[176] Batch [0899]/[3760] Speed: 97.408058 samples/sec accuracy=64.199653 loss=1.480573 lr=0.003615 Epoch[176] Batch [0949]/[3760] Speed: 96.920676 samples/sec accuracy=64.116776 loss=1.483569 lr=0.003611 Epoch[176] Batch [0999]/[3760] Speed: 97.689052 samples/sec accuracy=64.096875 loss=1.484886 lr=0.003606 Epoch[176] Batch [1049]/[3760] Speed: 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lr=0.003378 Epoch[176] Batch [3449]/[3760] Speed: 97.320723 samples/sec accuracy=63.864130 loss=1.494599 lr=0.003374 Epoch[176] Batch [3499]/[3760] Speed: 96.628500 samples/sec accuracy=63.866964 loss=1.494771 lr=0.003369 Epoch[176] Batch [3549]/[3760] Speed: 97.322999 samples/sec accuracy=63.861796 loss=1.494795 lr=0.003364 Epoch[176] Batch [3599]/[3760] Speed: 96.215483 samples/sec accuracy=63.876302 loss=1.494462 lr=0.003360 Epoch[176] Batch [3649]/[3760] Speed: 97.590063 samples/sec accuracy=63.877140 loss=1.494781 lr=0.003355 Epoch[176] Batch [3699]/[3760] Speed: 97.697849 samples/sec accuracy=63.885557 loss=1.494125 lr=0.003351 Epoch[176] Batch [3749]/[3760] Speed: 110.664442 samples/sec accuracy=63.872083 loss=1.494447 lr=0.003346 Batch [0049]/[0303]: acc-top1=59.468750 acc-top5=80.656250 Batch [0099]/[0303]: acc-top1=56.484375 acc-top5=79.890625 Batch [0149]/[0303]: acc-top1=58.010417 acc-top5=80.520833 Batch [0199]/[0303]: acc-top1=60.882813 acc-top5=82.085938 Batch [0249]/[0303]: acc-top1=60.362500 acc-top5=81.712500 Batch [0299]/[0303]: acc-top1=59.645833 acc-top5=81.640625 [Epoch 176] training: accuracy=63.865110 loss=1.494760 [Epoch 176] speed: 96 samples/sec time cost: 2671.750056 [Epoch 176] validation: acc-top1=59.632838 acc-top5=81.626444 loss=1.833914 Epoch[177] Batch [0049]/[3759] Speed: 66.921218 samples/sec accuracy=65.843750 loss=1.403793 lr=0.003340 Epoch[177] Batch [0099]/[3759] Speed: 94.508320 samples/sec accuracy=66.156250 loss=1.406490 lr=0.003336 Epoch[177] Batch [0149]/[3759] Speed: 96.981331 samples/sec accuracy=66.000000 loss=1.422003 lr=0.003331 Epoch[177] Batch [0199]/[3759] Speed: 95.650110 samples/sec accuracy=65.953125 loss=1.431667 lr=0.003326 Epoch[177] Batch [0249]/[3759] Speed: 99.201458 samples/sec accuracy=65.487500 loss=1.451924 lr=0.003322 Epoch[177] Batch [0299]/[3759] Speed: 95.361145 samples/sec accuracy=65.442708 loss=1.451456 lr=0.003317 Epoch[177] Batch [0349]/[3759] Speed: 98.410407 samples/sec accuracy=65.267857 loss=1.452191 lr=0.003313 Epoch[177] Batch [0399]/[3759] Speed: 96.620947 samples/sec accuracy=65.023438 loss=1.460893 lr=0.003308 Epoch[177] Batch [0449]/[3759] Speed: 97.883015 samples/sec accuracy=64.958333 loss=1.460123 lr=0.003303 Epoch[177] Batch [0499]/[3759] Speed: 95.907852 samples/sec accuracy=64.993750 loss=1.457418 lr=0.003299 Epoch[177] Batch [0549]/[3759] Speed: 97.606343 samples/sec accuracy=64.883523 loss=1.462658 lr=0.003294 Epoch[177] Batch [0599]/[3759] Speed: 98.295354 samples/sec accuracy=64.830729 loss=1.462602 lr=0.003290 Epoch[177] Batch [0649]/[3759] Speed: 97.102990 samples/sec accuracy=64.781250 loss=1.465273 lr=0.003285 Epoch[177] Batch [0699]/[3759] Speed: 98.383741 samples/sec accuracy=64.772321 loss=1.465462 lr=0.003280 Epoch[177] Batch [0749]/[3759] Speed: 95.641096 samples/sec accuracy=64.814583 loss=1.462866 lr=0.003276 Epoch[177] Batch [0799]/[3759] Speed: 94.101360 samples/sec accuracy=64.927734 loss=1.459056 lr=0.003271 Epoch[177] 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accuracy=64.712740 loss=1.464043 lr=0.003225 Epoch[177] Batch [1349]/[3759] Speed: 98.562530 samples/sec accuracy=64.717593 loss=1.464951 lr=0.003221 Epoch[177] Batch [1399]/[3759] Speed: 97.607424 samples/sec accuracy=64.732143 loss=1.463965 lr=0.003216 Epoch[177] Batch [1449]/[3759] Speed: 99.432705 samples/sec accuracy=64.686422 loss=1.464879 lr=0.003212 Epoch[177] Batch [1499]/[3759] Speed: 95.995970 samples/sec accuracy=64.651042 loss=1.465964 lr=0.003207 Epoch[177] Batch [1549]/[3759] Speed: 99.695408 samples/sec accuracy=64.693548 loss=1.464348 lr=0.003203 Epoch[177] Batch [1599]/[3759] Speed: 98.035171 samples/sec accuracy=64.665039 loss=1.466190 lr=0.003198 Epoch[177] Batch [1649]/[3759] Speed: 98.543090 samples/sec accuracy=64.608902 loss=1.467384 lr=0.003194 Epoch[177] Batch [1699]/[3759] Speed: 98.705807 samples/sec accuracy=64.595588 loss=1.468997 lr=0.003189 Epoch[177] Batch [1749]/[3759] Speed: 98.078177 samples/sec accuracy=64.602679 loss=1.467966 lr=0.003185 Epoch[177] Batch [1799]/[3759] Speed: 98.202198 samples/sec accuracy=64.615451 loss=1.467538 lr=0.003180 Epoch[177] Batch [1849]/[3759] Speed: 95.862824 samples/sec accuracy=64.620777 loss=1.467709 lr=0.003175 Epoch[177] Batch [1899]/[3759] Speed: 98.425752 samples/sec accuracy=64.623355 loss=1.466903 lr=0.003171 Epoch[177] Batch [1949]/[3759] Speed: 96.716448 samples/sec accuracy=64.587340 loss=1.467195 lr=0.003166 Epoch[177] Batch [1999]/[3759] Speed: 98.981479 samples/sec accuracy=64.567188 loss=1.467561 lr=0.003162 Epoch[177] Batch [2049]/[3759] Speed: 97.380075 samples/sec accuracy=64.550305 loss=1.467940 lr=0.003157 Epoch[177] Batch [2099]/[3759] Speed: 99.058769 samples/sec accuracy=64.543899 loss=1.467849 lr=0.003153 Epoch[177] Batch [2149]/[3759] Speed: 95.720255 samples/sec accuracy=64.552326 loss=1.467381 lr=0.003148 Epoch[177] Batch [2199]/[3759] Speed: 98.799863 samples/sec accuracy=64.543324 loss=1.468347 lr=0.003144 Epoch[177] Batch [2249]/[3759] Speed: 98.535470 samples/sec accuracy=64.555556 loss=1.468220 lr=0.003139 Epoch[177] Batch [2299]/[3759] Speed: 97.999559 samples/sec accuracy=64.566576 loss=1.468312 lr=0.003135 Epoch[177] Batch [2349]/[3759] Speed: 98.036168 samples/sec accuracy=64.561170 loss=1.468257 lr=0.003130 Epoch[177] Batch [2399]/[3759] Speed: 97.809153 samples/sec accuracy=64.561198 loss=1.468030 lr=0.003126 Epoch[177] Batch [2449]/[3759] Speed: 99.809493 samples/sec accuracy=64.536990 loss=1.468118 lr=0.003121 Epoch[177] Batch [2499]/[3759] Speed: 96.469198 samples/sec accuracy=64.544375 loss=1.467980 lr=0.003117 Epoch[177] Batch [2549]/[3759] Speed: 98.535998 samples/sec accuracy=64.539828 loss=1.468091 lr=0.003112 Epoch[177] Batch [2599]/[3759] Speed: 97.600476 samples/sec accuracy=64.522837 loss=1.468976 lr=0.003108 Epoch[177] Batch [2649]/[3759] Speed: 99.495611 samples/sec accuracy=64.490566 loss=1.469545 lr=0.003104 Epoch[177] Batch [2699]/[3759] Speed: 97.942285 samples/sec accuracy=64.464120 loss=1.470113 lr=0.003099 Epoch[177] Batch [2749]/[3759] Speed: 98.136546 samples/sec accuracy=64.472159 loss=1.469782 lr=0.003095 Epoch[177] Batch [2799]/[3759] Speed: 98.784172 samples/sec accuracy=64.486607 loss=1.468779 lr=0.003090 Epoch[177] Batch [2849]/[3759] Speed: 96.870961 samples/sec accuracy=64.483004 loss=1.468879 lr=0.003086 Epoch[177] Batch [2899]/[3759] Speed: 99.360142 samples/sec accuracy=64.483836 loss=1.468546 lr=0.003081 Epoch[177] Batch [2949]/[3759] Speed: 96.450276 samples/sec accuracy=64.503708 loss=1.467900 lr=0.003077 Epoch[177] Batch [2999]/[3759] Speed: 99.061777 samples/sec accuracy=64.521875 loss=1.467451 lr=0.003072 Epoch[177] Batch [3049]/[3759] Speed: 98.053775 samples/sec accuracy=64.505635 loss=1.467730 lr=0.003068 Epoch[177] Batch [3099]/[3759] Speed: 98.635757 samples/sec accuracy=64.509073 loss=1.466979 lr=0.003063 Epoch[177] Batch [3149]/[3759] Speed: 96.117037 samples/sec accuracy=64.512897 loss=1.467678 lr=0.003059 Epoch[177] Batch [3199]/[3759] Speed: 99.337964 samples/sec accuracy=64.506348 loss=1.468003 lr=0.003054 Epoch[177] Batch [3249]/[3759] Speed: 98.050718 samples/sec accuracy=64.483173 loss=1.468740 lr=0.003050 Epoch[177] Batch [3299]/[3759] Speed: 99.349493 samples/sec accuracy=64.475852 loss=1.468835 lr=0.003046 Epoch[177] Batch [3349]/[3759] Speed: 98.660264 samples/sec accuracy=64.440299 loss=1.469129 lr=0.003041 Epoch[177] Batch [3399]/[3759] Speed: 98.265500 samples/sec accuracy=64.444853 loss=1.468861 lr=0.003037 Epoch[177] Batch [3449]/[3759] Speed: 99.195000 samples/sec accuracy=64.440217 loss=1.468952 lr=0.003032 Epoch[177] Batch [3499]/[3759] Speed: 95.955748 samples/sec accuracy=64.456696 loss=1.468800 lr=0.003028 Epoch[177] Batch [3549]/[3759] Speed: 99.626830 samples/sec accuracy=64.441021 loss=1.469038 lr=0.003024 Epoch[177] Batch [3599]/[3759] Speed: 97.955552 samples/sec accuracy=64.429688 loss=1.469669 lr=0.003019 Epoch[177] Batch [3649]/[3759] Speed: 98.454808 samples/sec accuracy=64.425514 loss=1.469752 lr=0.003015 Epoch[177] Batch [3699]/[3759] Speed: 97.423807 samples/sec accuracy=64.411740 loss=1.470433 lr=0.003010 Epoch[177] Batch [3749]/[3759] Speed: 112.389603 samples/sec accuracy=64.421667 loss=1.469535 lr=0.003006 Batch [0049]/[0303]: acc-top1=59.875000 acc-top5=81.031250 Batch [0099]/[0303]: acc-top1=57.390625 acc-top5=80.593750 Batch [0149]/[0303]: acc-top1=58.791667 acc-top5=81.114583 Batch [0199]/[0303]: acc-top1=61.203125 acc-top5=82.414062 Batch [0249]/[0303]: acc-top1=60.762500 acc-top5=82.012500 Batch [0299]/[0303]: acc-top1=60.312500 acc-top5=82.010417 [Epoch 177] training: accuracy=64.418313 loss=1.469394 [Epoch 177] speed: 97 samples/sec time cost: 2658.181180 [Epoch 177] validation: acc-top1=60.236180 acc-top5=82.023515 loss=1.817253 Epoch[178] Batch [0049]/[3760] Speed: 66.792104 samples/sec accuracy=66.156250 loss=1.377135 lr=0.003001 Epoch[178] Batch [0099]/[3760] Speed: 94.216290 samples/sec accuracy=65.234375 loss=1.424719 lr=0.002996 Epoch[178] Batch [0149]/[3760] Speed: 98.727810 samples/sec accuracy=64.927083 loss=1.430967 lr=0.002992 Epoch[178] Batch [0199]/[3760] Speed: 96.138197 samples/sec accuracy=64.960938 loss=1.430219 lr=0.002987 Epoch[178] Batch [0249]/[3760] Speed: 98.510009 samples/sec accuracy=64.862500 loss=1.438954 lr=0.002983 Epoch[178] Batch [0299]/[3760] Speed: 97.025605 samples/sec accuracy=64.822917 loss=1.434962 lr=0.002979 Epoch[178] Batch [0349]/[3760] Speed: 98.566101 samples/sec accuracy=64.812500 loss=1.436965 lr=0.002974 Epoch[178] Batch [0399]/[3760] Speed: 95.064693 samples/sec accuracy=64.878906 loss=1.437855 lr=0.002970 Epoch[178] Batch [0449]/[3760] Speed: 98.646135 samples/sec accuracy=64.888889 loss=1.442404 lr=0.002966 Epoch[178] Batch [0499]/[3760] Speed: 97.166553 samples/sec accuracy=64.956250 loss=1.442139 lr=0.002961 Epoch[178] Batch [0549]/[3760] Speed: 98.223848 samples/sec accuracy=64.971591 loss=1.439582 lr=0.002957 Epoch[178] Batch [0599]/[3760] Speed: 98.265890 samples/sec accuracy=65.005208 loss=1.440024 lr=0.002952 Epoch[178] Batch [0649]/[3760] Speed: 97.569615 samples/sec accuracy=64.911058 loss=1.444186 lr=0.002948 Epoch[178] Batch [0699]/[3760] Speed: 98.961955 samples/sec accuracy=64.968750 loss=1.441630 lr=0.002944 Epoch[178] Batch [0749]/[3760] Speed: 95.470640 samples/sec accuracy=65.008333 loss=1.440040 lr=0.002939 Epoch[178] Batch [0799]/[3760] Speed: 98.885450 samples/sec accuracy=65.013672 loss=1.440634 lr=0.002935 Epoch[178] Batch [0849]/[3760] Speed: 97.082383 samples/sec accuracy=65.040441 loss=1.441658 lr=0.002931 Epoch[178] Batch [0899]/[3760] Speed: 98.994823 samples/sec accuracy=65.041667 loss=1.444005 lr=0.002926 Epoch[178] Batch [0949]/[3760] Speed: 97.386202 samples/sec accuracy=64.995066 loss=1.444039 lr=0.002922 Epoch[178] Batch [0999]/[3760] Speed: 98.872599 samples/sec accuracy=64.948437 loss=1.445733 lr=0.002918 Epoch[178] Batch [1049]/[3760] Speed: 95.288089 samples/sec accuracy=64.912202 loss=1.445082 lr=0.002913 Epoch[178] Batch [1099]/[3760] Speed: 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lr=0.002870 Epoch[178] Batch [1599]/[3760] Speed: 97.528496 samples/sec accuracy=64.948242 loss=1.445384 lr=0.002866 Epoch[178] Batch [1649]/[3760] Speed: 98.844733 samples/sec accuracy=64.935606 loss=1.445983 lr=0.002861 Epoch[178] Batch [1699]/[3760] Speed: 97.232550 samples/sec accuracy=64.934743 loss=1.445330 lr=0.002857 Epoch[178] Batch [1749]/[3760] Speed: 96.661145 samples/sec accuracy=64.962500 loss=1.445245 lr=0.002853 Epoch[178] Batch [1799]/[3760] Speed: 97.139295 samples/sec accuracy=64.924479 loss=1.444966 lr=0.002849 Epoch[178] Batch [1849]/[3760] Speed: 97.044387 samples/sec accuracy=64.918074 loss=1.444318 lr=0.002844 Epoch[178] Batch [1899]/[3760] Speed: 98.262023 samples/sec accuracy=64.940789 loss=1.443850 lr=0.002840 Epoch[178] Batch [1949]/[3760] Speed: 97.023588 samples/sec accuracy=64.943109 loss=1.443060 lr=0.002836 Epoch[178] Batch [1999]/[3760] Speed: 99.704792 samples/sec accuracy=64.975000 loss=1.441716 lr=0.002831 Epoch[178] Batch [2049]/[3760] Speed: 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lr=0.002789 Epoch[178] Batch [2549]/[3760] Speed: 98.032173 samples/sec accuracy=64.988971 loss=1.441100 lr=0.002785 Epoch[178] Batch [2599]/[3760] Speed: 98.324716 samples/sec accuracy=65.026442 loss=1.439690 lr=0.002780 Epoch[178] Batch [2649]/[3760] Speed: 98.791037 samples/sec accuracy=65.022406 loss=1.440274 lr=0.002776 Epoch[178] Batch [2699]/[3760] Speed: 97.663154 samples/sec accuracy=65.015625 loss=1.440729 lr=0.002772 Epoch[178] Batch [2749]/[3760] Speed: 97.069133 samples/sec accuracy=65.007386 loss=1.440862 lr=0.002768 Epoch[178] Batch [2799]/[3760] Speed: 97.483313 samples/sec accuracy=65.007812 loss=1.441056 lr=0.002763 Epoch[178] Batch [2849]/[3760] Speed: 97.388631 samples/sec accuracy=65.023026 loss=1.440749 lr=0.002759 Epoch[178] Batch [2899]/[3760] Speed: 99.254972 samples/sec accuracy=65.033405 loss=1.440096 lr=0.002755 Epoch[178] Batch [2949]/[3760] Speed: 97.829701 samples/sec accuracy=65.027542 loss=1.439653 lr=0.002751 Epoch[178] Batch [2999]/[3760] Speed: 98.906247 samples/sec accuracy=65.017187 loss=1.439588 lr=0.002746 Epoch[178] Batch [3049]/[3760] Speed: 97.394694 samples/sec accuracy=65.001537 loss=1.440797 lr=0.002742 Epoch[178] Batch [3099]/[3760] Speed: 97.643604 samples/sec accuracy=64.990927 loss=1.441116 lr=0.002738 Epoch[178] Batch [3149]/[3760] Speed: 97.485039 samples/sec accuracy=65.006944 loss=1.440669 lr=0.002734 Epoch[178] Batch [3199]/[3760] Speed: 99.051688 samples/sec accuracy=64.993164 loss=1.441040 lr=0.002730 Epoch[178] Batch [3249]/[3760] Speed: 97.467469 samples/sec accuracy=64.972115 loss=1.441799 lr=0.002725 Epoch[178] Batch [3299]/[3760] Speed: 98.405837 samples/sec accuracy=64.946496 loss=1.442119 lr=0.002721 Epoch[178] Batch [3349]/[3760] Speed: 98.454225 samples/sec accuracy=64.929104 loss=1.442921 lr=0.002717 Epoch[178] Batch [3399]/[3760] Speed: 95.212229 samples/sec accuracy=64.926471 loss=1.443398 lr=0.002713 Epoch[178] Batch [3449]/[3760] Speed: 100.093185 samples/sec accuracy=64.922554 loss=1.442904 lr=0.002709 Epoch[178] Batch [3499]/[3760] Speed: 96.950248 samples/sec accuracy=64.926339 loss=1.442588 lr=0.002704 Epoch[178] Batch [3549]/[3760] Speed: 98.520753 samples/sec accuracy=64.924296 loss=1.442387 lr=0.002700 Epoch[178] Batch [3599]/[3760] Speed: 97.767567 samples/sec accuracy=64.924479 loss=1.442104 lr=0.002696 Epoch[178] Batch [3649]/[3760] Speed: 98.278089 samples/sec accuracy=64.939212 loss=1.441885 lr=0.002692 Epoch[178] Batch [3699]/[3760] Speed: 97.276925 samples/sec accuracy=64.950591 loss=1.441548 lr=0.002688 Epoch[178] Batch [3749]/[3760] Speed: 109.192203 samples/sec accuracy=64.950833 loss=1.441539 lr=0.002684 Batch [0049]/[0303]: acc-top1=61.062500 acc-top5=81.781250 Batch [0099]/[0303]: acc-top1=57.984375 acc-top5=80.656250 Batch [0149]/[0303]: acc-top1=59.187500 acc-top5=81.437500 Batch [0199]/[0303]: acc-top1=61.765625 acc-top5=82.687500 Batch [0249]/[0303]: acc-top1=61.131250 acc-top5=82.393750 Batch [0299]/[0303]: acc-top1=60.651042 acc-top5=82.515625 [Epoch 178] training: accuracy=64.949302 loss=1.441595 [Epoch 178] speed: 97 samples/sec time cost: 2659.766832 [Epoch 178] validation: acc-top1=60.566213 acc-top5=82.513408 loss=1.800267 Epoch[179] Batch [0049]/[3760] Speed: 68.310562 samples/sec accuracy=65.937500 loss=1.382091 lr=0.002679 Epoch[179] Batch [0099]/[3760] Speed: 95.176629 samples/sec accuracy=66.625000 loss=1.369806 lr=0.002674 Epoch[179] Batch [0149]/[3760] Speed: 99.156392 samples/sec accuracy=66.677083 loss=1.369597 lr=0.002670 Epoch[179] Batch [0199]/[3760] Speed: 95.238214 samples/sec accuracy=66.210938 loss=1.384437 lr=0.002666 Epoch[179] Batch [0249]/[3760] Speed: 95.039633 samples/sec accuracy=66.206250 loss=1.383582 lr=0.002662 Epoch[179] Batch [0299]/[3760] Speed: 99.476532 samples/sec accuracy=66.322917 loss=1.381167 lr=0.002658 Epoch[179] Batch [0349]/[3760] Speed: 99.650540 samples/sec accuracy=66.250000 loss=1.382751 lr=0.002654 Epoch[179] Batch [0399]/[3760] Speed: 96.843156 samples/sec accuracy=66.164062 loss=1.382536 lr=0.002650 Epoch[179] Batch [0449]/[3760] Speed: 98.305379 samples/sec accuracy=66.027778 loss=1.390097 lr=0.002645 Epoch[179] Batch [0499]/[3760] Speed: 97.802761 samples/sec accuracy=65.887500 loss=1.397292 lr=0.002641 Epoch[179] Batch [0549]/[3760] Speed: 98.125674 samples/sec accuracy=66.105114 loss=1.390525 lr=0.002637 Epoch[179] Batch [0599]/[3760] Speed: 96.885462 samples/sec accuracy=66.226562 loss=1.390690 lr=0.002633 Epoch[179] Batch [0649]/[3760] Speed: 98.819342 samples/sec accuracy=66.091346 loss=1.394358 lr=0.002629 Epoch[179] Batch [0699]/[3760] Speed: 99.262087 samples/sec accuracy=66.071429 loss=1.396291 lr=0.002625 Epoch[179] Batch [0749]/[3760] Speed: 97.973083 samples/sec accuracy=66.047917 loss=1.396142 lr=0.002621 Epoch[179] Batch [0799]/[3760] Speed: 98.950415 samples/sec accuracy=65.986328 loss=1.398349 lr=0.002616 Epoch[179] Batch [0849]/[3760] Speed: 98.108261 samples/sec accuracy=65.987132 loss=1.399329 lr=0.002612 Epoch[179] Batch [0899]/[3760] Speed: 98.644177 samples/sec accuracy=65.963542 loss=1.400902 lr=0.002608 Epoch[179] Batch [0949]/[3760] Speed: 96.910407 samples/sec accuracy=65.996711 loss=1.401302 lr=0.002604 Epoch[179] Batch [0999]/[3760] Speed: 98.457822 samples/sec accuracy=66.001563 loss=1.399779 lr=0.002600 Epoch[179] Batch [1049]/[3760] Speed: 98.461149 samples/sec accuracy=65.970238 loss=1.400668 lr=0.002596 Epoch[179] Batch [1099]/[3760] Speed: 98.912361 samples/sec accuracy=66.056818 loss=1.397030 lr=0.002592 Epoch[179] Batch [1149]/[3760] Speed: 98.038496 samples/sec accuracy=65.995924 loss=1.397487 lr=0.002588 Epoch[179] Batch [1199]/[3760] Speed: 98.205768 samples/sec accuracy=66.001302 loss=1.398100 lr=0.002584 Epoch[179] Batch [1249]/[3760] Speed: 98.741268 samples/sec accuracy=66.002500 loss=1.398170 lr=0.002580 Epoch[179] Batch [1299]/[3760] Speed: 96.307150 samples/sec accuracy=65.957933 loss=1.399186 lr=0.002575 Epoch[179] Batch [1349]/[3760] Speed: 98.700910 samples/sec accuracy=65.895833 loss=1.400800 lr=0.002571 Epoch[179] Batch [1399]/[3760] Speed: 97.878950 samples/sec accuracy=65.920759 loss=1.400129 lr=0.002567 Epoch[179] Batch [1449]/[3760] Speed: 98.350998 samples/sec accuracy=65.885776 loss=1.400929 lr=0.002563 Epoch[179] Batch [1499]/[3760] Speed: 98.827767 samples/sec accuracy=65.891667 loss=1.401321 lr=0.002559 Epoch[179] Batch [1549]/[3760] Speed: 97.896768 samples/sec accuracy=65.844758 loss=1.402361 lr=0.002555 Epoch[179] Batch [1599]/[3760] Speed: 98.864313 samples/sec accuracy=65.838867 loss=1.403037 lr=0.002551 Epoch[179] Batch [1649]/[3760] Speed: 96.183551 samples/sec accuracy=65.795455 loss=1.405032 lr=0.002547 Epoch[179] Batch [1699]/[3760] Speed: 98.965202 samples/sec accuracy=65.793199 loss=1.405193 lr=0.002543 Epoch[179] Batch [1749]/[3760] Speed: 97.742562 samples/sec accuracy=65.821429 loss=1.404215 lr=0.002539 Epoch[179] Batch [1799]/[3760] Speed: 98.733543 samples/sec accuracy=65.769965 loss=1.406181 lr=0.002535 Epoch[179] Batch [1849]/[3760] Speed: 97.895469 samples/sec accuracy=65.767736 loss=1.405834 lr=0.002531 Epoch[179] Batch [1899]/[3760] Speed: 98.711406 samples/sec accuracy=65.766447 loss=1.405654 lr=0.002527 Epoch[179] Batch [1949]/[3760] Speed: 95.801713 samples/sec accuracy=65.726763 loss=1.408017 lr=0.002523 Epoch[179] Batch [1999]/[3760] Speed: 100.061330 samples/sec accuracy=65.747656 loss=1.407501 lr=0.002519 Epoch[179] Batch [2049]/[3760] Speed: 98.375620 samples/sec accuracy=65.731707 loss=1.408325 lr=0.002515 Epoch[179] Batch [2099]/[3760] Speed: 98.294639 samples/sec accuracy=65.709821 loss=1.409685 lr=0.002510 Epoch[179] Batch [2149]/[3760] Speed: 98.034921 samples/sec accuracy=65.752180 loss=1.409153 lr=0.002506 Epoch[179] Batch [2199]/[3760] Speed: 98.158499 samples/sec accuracy=65.767045 loss=1.408662 lr=0.002502 Epoch[179] Batch [2249]/[3760] Speed: 98.262429 samples/sec accuracy=65.774306 loss=1.408071 lr=0.002498 Epoch[179] Batch [2299]/[3760] Speed: 96.753076 samples/sec accuracy=65.755435 loss=1.408112 lr=0.002494 Epoch[179] Batch [2349]/[3760] Speed: 98.808215 samples/sec accuracy=65.704787 loss=1.409162 lr=0.002490 Epoch[179] Batch [2399]/[3760] Speed: 98.417235 samples/sec accuracy=65.701823 loss=1.409296 lr=0.002486 Epoch[179] Batch [2449]/[3760] Speed: 98.298896 samples/sec accuracy=65.717474 loss=1.409082 lr=0.002482 Epoch[179] Batch [2499]/[3760] Speed: 97.883743 samples/sec accuracy=65.710000 loss=1.409694 lr=0.002478 Epoch[179] Batch [2549]/[3760] Speed: 98.576278 samples/sec accuracy=65.699142 loss=1.410153 lr=0.002474 Epoch[179] Batch [2599]/[3760] Speed: 97.356227 samples/sec accuracy=65.659856 loss=1.411813 lr=0.002470 Epoch[179] Batch [2649]/[3760] Speed: 96.656359 samples/sec accuracy=65.646816 loss=1.412436 lr=0.002466 Epoch[179] Batch [2699]/[3760] Speed: 98.434831 samples/sec accuracy=65.630208 loss=1.413589 lr=0.002462 Epoch[179] Batch [2749]/[3760] Speed: 98.199398 samples/sec accuracy=65.643182 loss=1.413222 lr=0.002458 Epoch[179] Batch [2799]/[3760] Speed: 98.146324 samples/sec accuracy=65.637835 loss=1.413544 lr=0.002454 Epoch[179] Batch [2849]/[3760] Speed: 98.014391 samples/sec accuracy=65.640351 loss=1.413966 lr=0.002450 Epoch[179] Batch [2899]/[3760] Speed: 98.831982 samples/sec accuracy=65.628772 loss=1.413741 lr=0.002446 Epoch[179] Batch [2949]/[3760] Speed: 98.030091 samples/sec accuracy=65.637712 loss=1.413145 lr=0.002442 Epoch[179] Batch [2999]/[3760] Speed: 96.300874 samples/sec accuracy=65.627604 loss=1.413601 lr=0.002438 Epoch[179] Batch [3049]/[3760] Speed: 97.986302 samples/sec accuracy=65.639344 loss=1.412892 lr=0.002434 Epoch[179] Batch [3099]/[3760] Speed: 98.323360 samples/sec accuracy=65.643649 loss=1.412666 lr=0.002430 Epoch[179] Batch [3149]/[3760] Speed: 97.919031 samples/sec accuracy=65.636409 loss=1.413327 lr=0.002426 Epoch[179] Batch [3199]/[3760] Speed: 98.260133 samples/sec accuracy=65.619629 loss=1.413672 lr=0.002422 Epoch[179] Batch [3249]/[3760] Speed: 98.941419 samples/sec accuracy=65.657692 loss=1.412119 lr=0.002419 Epoch[179] Batch [3299]/[3760] Speed: 95.193310 samples/sec accuracy=65.662879 loss=1.412058 lr=0.002415 Epoch[179] Batch [3349]/[3760] Speed: 99.647978 samples/sec accuracy=65.648321 loss=1.411881 lr=0.002411 Epoch[179] Batch [3399]/[3760] Speed: 98.963178 samples/sec accuracy=65.630974 loss=1.411993 lr=0.002407 Epoch[179] Batch [3449]/[3760] Speed: 98.636396 samples/sec accuracy=65.624547 loss=1.412565 lr=0.002403 Epoch[179] Batch [3499]/[3760] Speed: 98.793807 samples/sec accuracy=65.618304 loss=1.412507 lr=0.002399 Epoch[179] Batch [3549]/[3760] Speed: 97.631064 samples/sec accuracy=65.600792 loss=1.412815 lr=0.002395 Epoch[179] Batch [3599]/[3760] Speed: 98.106783 samples/sec accuracy=65.594618 loss=1.413246 lr=0.002391 Epoch[179] Batch [3649]/[3760] Speed: 96.673517 samples/sec accuracy=65.603168 loss=1.412680 lr=0.002387 Epoch[179] Batch [3699]/[3760] Speed: 98.374158 samples/sec accuracy=65.570101 loss=1.413533 lr=0.002383 Epoch[179] Batch [3749]/[3760] Speed: 110.559735 samples/sec accuracy=65.581250 loss=1.413477 lr=0.002379 Batch [0049]/[0303]: acc-top1=61.375000 acc-top5=82.125000 Batch [0099]/[0303]: acc-top1=58.875000 acc-top5=81.156250 Batch [0149]/[0303]: acc-top1=59.791667 acc-top5=81.708333 Batch [0199]/[0303]: acc-top1=62.453125 acc-top5=83.031250 Batch [0249]/[0303]: acc-top1=61.750000 acc-top5=82.656250 Batch [0299]/[0303]: acc-top1=61.130208 acc-top5=82.692708 [Epoch 179] training: accuracy=65.573055 loss=1.413509 [Epoch 179] speed: 97 samples/sec time cost: 2651.265090 [Epoch 179] validation: acc-top1=61.092203 acc-top5=82.699051 loss=1.779843 Epoch[180] Batch [0049]/[3759] Speed: 67.207107 samples/sec accuracy=67.437500 loss=1.369604 lr=0.002374 Epoch[180] Batch [0099]/[3759] Speed: 94.697457 samples/sec accuracy=67.015625 loss=1.378971 lr=0.002370 Epoch[180] Batch [0149]/[3759] Speed: 98.432137 samples/sec accuracy=66.333333 loss=1.395189 lr=0.002366 Epoch[180] Batch [0199]/[3759] Speed: 94.439562 samples/sec accuracy=66.585938 loss=1.386100 lr=0.002363 Epoch[180] Batch [0249]/[3759] Speed: 97.767946 samples/sec accuracy=66.450000 loss=1.384205 lr=0.002359 Epoch[180] Batch [0299]/[3759] Speed: 97.213740 samples/sec accuracy=66.260417 loss=1.390608 lr=0.002355 Epoch[180] Batch [0349]/[3759] Speed: 98.858596 samples/sec accuracy=66.553571 loss=1.382590 lr=0.002351 Epoch[180] Batch [0399]/[3759] Speed: 97.656804 samples/sec accuracy=66.296875 loss=1.392527 lr=0.002347 Epoch[180] Batch [0449]/[3759] Speed: 98.275220 samples/sec accuracy=66.138889 loss=1.398046 lr=0.002343 Epoch[180] Batch [0499]/[3759] Speed: 97.170845 samples/sec accuracy=66.171875 loss=1.397918 lr=0.002339 Epoch[180] Batch [0549]/[3759] Speed: 96.403602 samples/sec accuracy=66.073864 loss=1.400400 lr=0.002335 Epoch[180] Batch [0599]/[3759] Speed: 98.747251 samples/sec accuracy=66.075521 loss=1.402976 lr=0.002331 Epoch[180] Batch [0649]/[3759] Speed: 97.239136 samples/sec accuracy=66.100962 loss=1.401860 lr=0.002327 Epoch[180] Batch [0699]/[3759] Speed: 99.264376 samples/sec accuracy=66.122768 loss=1.398875 lr=0.002324 Epoch[180] Batch [0749]/[3759] Speed: 97.500884 samples/sec accuracy=66.154167 loss=1.396704 lr=0.002320 Epoch[180] Batch [0799]/[3759] Speed: 98.394520 samples/sec accuracy=66.144531 loss=1.397151 lr=0.002316 Epoch[180] Batch [0849]/[3759] Speed: 93.834109 samples/sec accuracy=66.055147 loss=1.398794 lr=0.002312 Epoch[180] Batch [0899]/[3759] Speed: 100.977240 samples/sec accuracy=66.119792 loss=1.396906 lr=0.002308 Epoch[180] Batch [0949]/[3759] Speed: 96.973380 samples/sec accuracy=66.157895 loss=1.394331 lr=0.002304 Epoch[180] Batch [0999]/[3759] Speed: 98.001834 samples/sec accuracy=66.200000 loss=1.391484 lr=0.002300 Epoch[180] Batch [1049]/[3759] Speed: 97.862820 samples/sec accuracy=66.250000 loss=1.389588 lr=0.002296 Epoch[180] Batch [1099]/[3759] Speed: 97.005735 samples/sec accuracy=66.258523 loss=1.389669 lr=0.002293 Epoch[180] Batch [1149]/[3759] Speed: 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lr=0.002182 Epoch[180] Batch [2599]/[3759] Speed: 100.975081 samples/sec accuracy=66.281851 loss=1.387726 lr=0.002178 Epoch[180] Batch [2649]/[3759] Speed: 97.737179 samples/sec accuracy=66.277712 loss=1.387286 lr=0.002174 Epoch[180] Batch [2699]/[3759] Speed: 99.343223 samples/sec accuracy=66.273148 loss=1.387296 lr=0.002171 Epoch[180] Batch [2749]/[3759] Speed: 96.935124 samples/sec accuracy=66.256250 loss=1.387842 lr=0.002167 Epoch[180] Batch [2799]/[3759] Speed: 98.554907 samples/sec accuracy=66.242746 loss=1.388323 lr=0.002163 Epoch[180] Batch [2849]/[3759] Speed: 98.094318 samples/sec accuracy=66.229167 loss=1.388939 lr=0.002159 Epoch[180] Batch [2899]/[3759] Speed: 95.909736 samples/sec accuracy=66.239763 loss=1.388350 lr=0.002156 Epoch[180] Batch [2949]/[3759] Speed: 99.083071 samples/sec accuracy=66.252648 loss=1.387365 lr=0.002152 Epoch[180] Batch [2999]/[3759] Speed: 97.971131 samples/sec accuracy=66.259896 loss=1.387211 lr=0.002148 Epoch[180] Batch [3049]/[3759] Speed: 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lr=0.002111 Epoch[180] Batch [3549]/[3759] Speed: 98.230675 samples/sec accuracy=66.259683 loss=1.386384 lr=0.002107 Epoch[180] Batch [3599]/[3759] Speed: 97.012762 samples/sec accuracy=66.269097 loss=1.386462 lr=0.002103 Epoch[180] Batch [3649]/[3759] Speed: 98.585274 samples/sec accuracy=66.280822 loss=1.386303 lr=0.002100 Epoch[180] Batch [3699]/[3759] Speed: 98.043779 samples/sec accuracy=66.274493 loss=1.386742 lr=0.002096 Epoch[180] Batch [3749]/[3759] Speed: 112.285156 samples/sec accuracy=66.253333 loss=1.387711 lr=0.002092 Batch [0049]/[0303]: acc-top1=61.375000 acc-top5=81.843750 Batch [0099]/[0303]: acc-top1=58.328125 acc-top5=81.171875 Batch [0149]/[0303]: acc-top1=59.854167 acc-top5=81.875000 Batch [0199]/[0303]: acc-top1=62.429688 acc-top5=83.179688 Batch [0249]/[0303]: acc-top1=61.843750 acc-top5=82.781250 Batch [0299]/[0303]: acc-top1=61.119792 acc-top5=82.854167 [Epoch 180] training: accuracy=66.255570 loss=1.387610 [Epoch 180] speed: 97 samples/sec time cost: 2658.576715 [Epoch 180] validation: acc-top1=61.071576 acc-top5=82.827970 loss=1.776772 Epoch[181] Batch [0049]/[3760] Speed: 68.042705 samples/sec accuracy=66.000000 loss=1.372118 lr=0.002088 Epoch[181] Batch [0099]/[3760] Speed: 95.908272 samples/sec accuracy=66.671875 loss=1.360781 lr=0.002084 Epoch[181] Batch [0149]/[3760] Speed: 95.231710 samples/sec accuracy=67.270833 loss=1.336925 lr=0.002081 Epoch[181] Batch [0199]/[3760] Speed: 99.111016 samples/sec accuracy=66.734375 loss=1.358033 lr=0.002077 Epoch[181] Batch [0249]/[3760] Speed: 99.220026 samples/sec accuracy=66.837500 loss=1.348047 lr=0.002073 Epoch[181] Batch [0299]/[3760] Speed: 96.894410 samples/sec accuracy=66.880208 loss=1.350935 lr=0.002070 Epoch[181] Batch [0349]/[3760] Speed: 98.473152 samples/sec accuracy=66.888393 loss=1.354051 lr=0.002066 Epoch[181] Batch [0399]/[3760] Speed: 97.094786 samples/sec accuracy=66.835938 loss=1.357576 lr=0.002062 Epoch[181] Batch [0449]/[3760] Speed: 97.633013 samples/sec accuracy=66.954861 loss=1.354400 lr=0.002059 Epoch[181] Batch [0499]/[3760] Speed: 95.862384 samples/sec accuracy=67.103125 loss=1.346975 lr=0.002055 Epoch[181] Batch [0549]/[3760] Speed: 97.908881 samples/sec accuracy=67.196023 loss=1.346033 lr=0.002051 Epoch[181] Batch [0599]/[3760] Speed: 97.651649 samples/sec accuracy=67.117188 loss=1.349570 lr=0.002048 Epoch[181] Batch [0649]/[3760] Speed: 97.698112 samples/sec accuracy=67.117788 loss=1.348144 lr=0.002044 Epoch[181] Batch [0699]/[3760] Speed: 100.186589 samples/sec accuracy=67.154018 loss=1.348045 lr=0.002040 Epoch[181] Batch [0749]/[3760] Speed: 96.969423 samples/sec accuracy=67.118750 loss=1.348900 lr=0.002037 Epoch[181] Batch [0799]/[3760] Speed: 99.194298 samples/sec accuracy=67.033203 loss=1.352421 lr=0.002033 Epoch[181] Batch [0849]/[3760] Speed: 96.125917 samples/sec accuracy=67.018382 loss=1.353446 lr=0.002029 Epoch[181] Batch [0899]/[3760] Speed: 98.461304 samples/sec accuracy=67.029514 loss=1.351938 lr=0.002026 Epoch[181] Batch [0949]/[3760] Speed: 97.552762 samples/sec accuracy=67.083882 loss=1.350020 lr=0.002022 Epoch[181] Batch [0999]/[3760] Speed: 98.143356 samples/sec accuracy=67.081250 loss=1.349067 lr=0.002019 Epoch[181] Batch [1049]/[3760] Speed: 97.913674 samples/sec accuracy=67.077381 loss=1.349145 lr=0.002015 Epoch[181] Batch [1099]/[3760] Speed: 97.362622 samples/sec accuracy=67.100852 loss=1.347108 lr=0.002011 Epoch[181] Batch [1149]/[3760] Speed: 99.209590 samples/sec accuracy=67.107337 loss=1.347627 lr=0.002008 Epoch[181] Batch [1199]/[3760] Speed: 96.364992 samples/sec accuracy=67.080729 loss=1.348863 lr=0.002004 Epoch[181] Batch [1249]/[3760] Speed: 98.353931 samples/sec accuracy=67.075000 loss=1.349941 lr=0.002000 Epoch[181] Batch [1299]/[3760] Speed: 97.102101 samples/sec accuracy=67.048077 loss=1.351429 lr=0.001997 Epoch[181] Batch [1349]/[3760] Speed: 99.277588 samples/sec accuracy=67.047454 loss=1.351829 lr=0.001993 Epoch[181] Batch [1399]/[3760] Speed: 96.869844 samples/sec accuracy=66.993304 loss=1.353448 lr=0.001990 Epoch[181] Batch [1449]/[3760] Speed: 98.958642 samples/sec accuracy=67.086207 loss=1.350612 lr=0.001986 Epoch[181] Batch [1499]/[3760] Speed: 97.526908 samples/sec accuracy=67.082292 loss=1.351082 lr=0.001982 Epoch[181] Batch [1549]/[3760] Speed: 97.842168 samples/sec accuracy=67.069556 loss=1.350743 lr=0.001979 Epoch[181] Batch [1599]/[3760] Speed: 97.111290 samples/sec accuracy=67.092773 loss=1.350108 lr=0.001975 Epoch[181] Batch [1649]/[3760] Speed: 98.145608 samples/sec accuracy=67.111742 loss=1.350629 lr=0.001972 Epoch[181] Batch [1699]/[3760] Speed: 98.075889 samples/sec accuracy=67.089154 loss=1.352463 lr=0.001968 Epoch[181] Batch [1749]/[3760] Speed: 98.872423 samples/sec accuracy=67.075893 loss=1.353092 lr=0.001964 Epoch[181] Batch [1799]/[3760] Speed: 98.569123 samples/sec accuracy=67.063368 loss=1.353046 lr=0.001961 Epoch[181] Batch [1849]/[3760] Speed: 98.744841 samples/sec accuracy=67.047297 loss=1.354026 lr=0.001957 Epoch[181] Batch [1899]/[3760] Speed: 96.717122 samples/sec accuracy=67.069901 loss=1.352349 lr=0.001954 Epoch[181] Batch [1949]/[3760] Speed: 97.967420 samples/sec accuracy=67.078526 loss=1.351671 lr=0.001950 Epoch[181] Batch [1999]/[3760] Speed: 99.294899 samples/sec accuracy=67.075781 loss=1.352007 lr=0.001947 Epoch[181] Batch [2049]/[3760] Speed: 97.419822 samples/sec accuracy=67.025152 loss=1.353315 lr=0.001943 Epoch[181] Batch [2099]/[3760] Speed: 99.447302 samples/sec accuracy=67.027530 loss=1.353356 lr=0.001940 Epoch[181] Batch [2149]/[3760] Speed: 97.105052 samples/sec accuracy=67.013081 loss=1.353630 lr=0.001936 Epoch[181] Batch [2199]/[3760] Speed: 95.950833 samples/sec accuracy=66.993608 loss=1.353238 lr=0.001932 Epoch[181] Batch [2249]/[3760] Speed: 100.310227 samples/sec accuracy=66.963889 loss=1.353345 lr=0.001929 Epoch[181] Batch [2299]/[3760] Speed: 98.735432 samples/sec accuracy=66.947690 loss=1.353625 lr=0.001925 Epoch[181] Batch [2349]/[3760] Speed: 98.891549 samples/sec accuracy=66.939495 loss=1.352850 lr=0.001922 Epoch[181] Batch [2399]/[3760] Speed: 98.128266 samples/sec accuracy=66.956380 loss=1.352143 lr=0.001918 Epoch[181] Batch [2449]/[3760] Speed: 98.259662 samples/sec accuracy=66.935587 loss=1.353614 lr=0.001915 Epoch[181] Batch [2499]/[3760] Speed: 98.563445 samples/sec accuracy=66.938125 loss=1.352637 lr=0.001911 Epoch[181] Batch [2549]/[3760] Speed: 96.949311 samples/sec accuracy=66.939338 loss=1.352914 lr=0.001908 Epoch[181] Batch [2599]/[3760] Speed: 98.747136 samples/sec accuracy=66.930889 loss=1.353364 lr=0.001904 Epoch[181] Batch [2649]/[3760] Speed: 97.712951 samples/sec accuracy=66.935731 loss=1.353602 lr=0.001901 Epoch[181] Batch [2699]/[3760] Speed: 99.017967 samples/sec accuracy=66.932870 loss=1.353894 lr=0.001897 Epoch[181] Batch [2749]/[3760] Speed: 97.669002 samples/sec accuracy=66.910795 loss=1.355324 lr=0.001894 Epoch[181] Batch [2799]/[3760] Speed: 98.359552 samples/sec accuracy=66.897879 loss=1.355762 lr=0.001890 Epoch[181] Batch [2849]/[3760] Speed: 98.834968 samples/sec accuracy=66.891447 loss=1.356018 lr=0.001887 Epoch[181] Batch [2899]/[3760] Speed: 96.137954 samples/sec accuracy=66.879310 loss=1.356456 lr=0.001883 Epoch[181] Batch [2949]/[3760] Speed: 98.907685 samples/sec accuracy=66.908369 loss=1.355754 lr=0.001879 Epoch[181] Batch [2999]/[3760] Speed: 98.384548 samples/sec accuracy=66.910417 loss=1.355491 lr=0.001876 Epoch[181] Batch [3049]/[3760] Speed: 97.987067 samples/sec accuracy=66.909836 loss=1.355498 lr=0.001872 Epoch[181] Batch [3099]/[3760] Speed: 98.890508 samples/sec accuracy=66.888105 loss=1.355669 lr=0.001869 Epoch[181] Batch [3149]/[3760] Speed: 97.909589 samples/sec accuracy=66.878472 loss=1.356475 lr=0.001866 Epoch[181] Batch [3199]/[3760] Speed: 97.583423 samples/sec accuracy=66.841309 loss=1.357562 lr=0.001862 Epoch[181] Batch [3249]/[3760] Speed: 96.696016 samples/sec accuracy=66.826923 loss=1.357875 lr=0.001859 Epoch[181] Batch [3299]/[3760] Speed: 98.047169 samples/sec accuracy=66.805871 loss=1.358696 lr=0.001855 Epoch[181] Batch [3349]/[3760] Speed: 98.712387 samples/sec accuracy=66.798507 loss=1.358756 lr=0.001852 Epoch[181] Batch [3399]/[3760] Speed: 98.790120 samples/sec accuracy=66.813419 loss=1.358188 lr=0.001848 Epoch[181] Batch [3449]/[3760] Speed: 97.622658 samples/sec accuracy=66.802536 loss=1.358818 lr=0.001845 Epoch[181] Batch [3499]/[3760] Speed: 98.251753 samples/sec accuracy=66.798214 loss=1.359765 lr=0.001841 Epoch[181] Batch [3549]/[3760] Speed: 98.915712 samples/sec accuracy=66.802377 loss=1.360127 lr=0.001838 Epoch[181] Batch [3599]/[3760] Speed: 96.210669 samples/sec accuracy=66.805556 loss=1.359967 lr=0.001834 Epoch[181] Batch [3649]/[3760] Speed: 98.934122 samples/sec accuracy=66.804366 loss=1.360104 lr=0.001831 Epoch[181] Batch [3699]/[3760] Speed: 98.373454 samples/sec accuracy=66.814611 loss=1.360392 lr=0.001827 Epoch[181] Batch [3749]/[3760] Speed: 111.223299 samples/sec accuracy=66.818750 loss=1.360357 lr=0.001824 Batch [0049]/[0303]: acc-top1=61.718750 acc-top5=82.000000 Batch [0099]/[0303]: acc-top1=58.453125 acc-top5=81.062500 Batch [0149]/[0303]: acc-top1=59.645833 acc-top5=81.604167 Batch [0199]/[0303]: acc-top1=62.226563 acc-top5=83.078125 Batch [0249]/[0303]: acc-top1=61.643750 acc-top5=82.731250 Batch [0299]/[0303]: acc-top1=61.369792 acc-top5=82.848958 [Epoch 181] training: accuracy=66.815991 loss=1.360558 [Epoch 181] speed: 97 samples/sec time cost: 2654.379990 [Epoch 181] validation: acc-top1=61.344884 acc-top5=82.884695 loss=1.764695 Epoch[182] Batch [0049]/[3760] Speed: 67.950271 samples/sec accuracy=67.250000 loss=1.333845 lr=0.001820 Epoch[182] Batch [0099]/[3760] Speed: 95.015441 samples/sec accuracy=67.671875 loss=1.313039 lr=0.001816 Epoch[182] Batch [0149]/[3760] Speed: 95.851829 samples/sec accuracy=67.281250 loss=1.323319 lr=0.001813 Epoch[182] Batch [0199]/[3760] Speed: 95.503114 samples/sec accuracy=67.507812 loss=1.313331 lr=0.001809 Epoch[182] Batch 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accuracy=67.562500 loss=1.323516 lr=0.001775 Epoch[182] Batch [0749]/[3760] Speed: 97.185668 samples/sec accuracy=67.547917 loss=1.324192 lr=0.001772 Epoch[182] Batch [0799]/[3760] Speed: 94.790039 samples/sec accuracy=67.439453 loss=1.330500 lr=0.001768 Epoch[182] Batch [0849]/[3760] Speed: 98.911808 samples/sec accuracy=67.419118 loss=1.331454 lr=0.001765 Epoch[182] Batch [0899]/[3760] Speed: 98.287314 samples/sec accuracy=67.449653 loss=1.330942 lr=0.001762 Epoch[182] Batch [0949]/[3760] Speed: 98.813750 samples/sec accuracy=67.445724 loss=1.330292 lr=0.001758 Epoch[182] Batch [0999]/[3760] Speed: 98.385643 samples/sec accuracy=67.525000 loss=1.328903 lr=0.001755 Epoch[182] Batch [1049]/[3760] Speed: 97.820095 samples/sec accuracy=67.510417 loss=1.329447 lr=0.001751 Epoch[182] Batch [1099]/[3760] Speed: 97.809852 samples/sec accuracy=67.593750 loss=1.326237 lr=0.001748 Epoch[182] Batch [1149]/[3760] Speed: 96.356565 samples/sec accuracy=67.610054 loss=1.325899 lr=0.001745 Epoch[182] 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accuracy=67.768939 loss=1.320574 lr=0.001711 Epoch[182] Batch [1699]/[3760] Speed: 98.265643 samples/sec accuracy=67.774816 loss=1.320244 lr=0.001708 Epoch[182] Batch [1749]/[3760] Speed: 98.088330 samples/sec accuracy=67.770536 loss=1.320269 lr=0.001704 Epoch[182] Batch [1799]/[3760] Speed: 98.633331 samples/sec accuracy=67.747396 loss=1.320889 lr=0.001701 Epoch[182] Batch [1849]/[3760] Speed: 96.043395 samples/sec accuracy=67.737331 loss=1.320836 lr=0.001698 Epoch[182] Batch [1899]/[3760] Speed: 98.951818 samples/sec accuracy=67.724507 loss=1.320700 lr=0.001694 Epoch[182] Batch [1949]/[3760] Speed: 97.095379 samples/sec accuracy=67.723558 loss=1.321406 lr=0.001691 Epoch[182] Batch [1999]/[3760] Speed: 97.954476 samples/sec accuracy=67.690625 loss=1.322366 lr=0.001688 Epoch[182] Batch [2049]/[3760] Speed: 98.231397 samples/sec accuracy=67.672256 loss=1.323812 lr=0.001684 Epoch[182] Batch [2099]/[3760] Speed: 98.025346 samples/sec accuracy=67.660714 loss=1.324450 lr=0.001681 Epoch[182] 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accuracy=67.587139 loss=1.327300 lr=0.001648 Epoch[182] Batch [2649]/[3760] Speed: 98.887068 samples/sec accuracy=67.602594 loss=1.326823 lr=0.001645 Epoch[182] Batch [2699]/[3760] Speed: 98.082807 samples/sec accuracy=67.570023 loss=1.327594 lr=0.001641 Epoch[182] Batch [2749]/[3760] Speed: 98.627224 samples/sec accuracy=67.552841 loss=1.327707 lr=0.001638 Epoch[182] Batch [2799]/[3760] Speed: 99.214982 samples/sec accuracy=67.549665 loss=1.327356 lr=0.001635 Epoch[182] Batch [2849]/[3760] Speed: 97.259091 samples/sec accuracy=67.552083 loss=1.327457 lr=0.001632 Epoch[182] Batch [2899]/[3760] Speed: 96.640495 samples/sec accuracy=67.576509 loss=1.326786 lr=0.001628 Epoch[182] Batch [2949]/[3760] Speed: 96.817119 samples/sec accuracy=67.581038 loss=1.326502 lr=0.001625 Epoch[182] Batch [2999]/[3760] Speed: 98.325990 samples/sec accuracy=67.577604 loss=1.326543 lr=0.001622 Epoch[182] Batch [3049]/[3760] Speed: 97.543066 samples/sec accuracy=67.584016 loss=1.326523 lr=0.001619 Epoch[182] Batch [3099]/[3760] Speed: 97.916877 samples/sec accuracy=67.589718 loss=1.326180 lr=0.001615 Epoch[182] Batch [3149]/[3760] Speed: 98.055210 samples/sec accuracy=67.589286 loss=1.326868 lr=0.001612 Epoch[182] Batch [3199]/[3760] Speed: 98.915761 samples/sec accuracy=67.585938 loss=1.327024 lr=0.001609 Epoch[182] Batch [3249]/[3760] Speed: 96.941831 samples/sec accuracy=67.595192 loss=1.327220 lr=0.001606 Epoch[182] Batch [3299]/[3760] Speed: 97.915705 samples/sec accuracy=67.617898 loss=1.326990 lr=0.001602 Epoch[182] Batch [3349]/[3760] Speed: 99.558140 samples/sec accuracy=67.613340 loss=1.327675 lr=0.001599 Epoch[182] Batch [3399]/[3760] Speed: 97.691943 samples/sec accuracy=67.617647 loss=1.327227 lr=0.001596 Epoch[182] Batch [3449]/[3760] Speed: 98.731845 samples/sec accuracy=67.625906 loss=1.327080 lr=0.001593 Epoch[182] Batch [3499]/[3760] Speed: 98.773929 samples/sec accuracy=67.603571 loss=1.327640 lr=0.001589 Epoch[182] Batch [3549]/[3760] Speed: 95.141777 samples/sec accuracy=67.610915 loss=1.327357 lr=0.001586 Epoch[182] Batch [3599]/[3760] Speed: 101.080790 samples/sec accuracy=67.597656 loss=1.327723 lr=0.001583 Epoch[182] Batch [3649]/[3760] Speed: 98.192936 samples/sec accuracy=67.610873 loss=1.327095 lr=0.001580 Epoch[182] Batch [3699]/[3760] Speed: 98.929937 samples/sec accuracy=67.600507 loss=1.328041 lr=0.001577 Epoch[182] Batch [3749]/[3760] Speed: 109.088113 samples/sec accuracy=67.586667 loss=1.328409 lr=0.001573 Batch [0049]/[0303]: acc-top1=61.968750 acc-top5=82.812500 Batch [0099]/[0303]: acc-top1=58.875000 acc-top5=81.687500 Batch [0149]/[0303]: acc-top1=60.177083 acc-top5=82.114583 Batch [0199]/[0303]: acc-top1=62.890625 acc-top5=83.500000 Batch [0249]/[0303]: acc-top1=62.212500 acc-top5=83.218750 Batch [0299]/[0303]: acc-top1=61.760417 acc-top5=83.270833 [Epoch 182] training: accuracy=67.574385 loss=1.328799 [Epoch 182] speed: 97 samples/sec time cost: 2660.136122 [Epoch 182] validation: acc-top1=61.721328 acc-top5=83.271452 loss=1.761411 Epoch[183] Batch [0049]/[3759] Speed: 67.844950 samples/sec accuracy=67.687500 loss=1.287106 lr=0.001570 Epoch[183] Batch [0099]/[3759] Speed: 94.024148 samples/sec accuracy=67.375000 loss=1.317404 lr=0.001566 Epoch[183] Batch [0149]/[3759] Speed: 96.519343 samples/sec accuracy=67.958333 loss=1.296397 lr=0.001563 Epoch[183] Batch [0199]/[3759] Speed: 95.682921 samples/sec accuracy=68.265625 loss=1.290984 lr=0.001560 Epoch[183] Batch [0249]/[3759] Speed: 98.100294 samples/sec accuracy=68.200000 loss=1.295405 lr=0.001557 Epoch[183] Batch [0299]/[3759] Speed: 96.294027 samples/sec accuracy=68.078125 loss=1.299823 lr=0.001554 Epoch[183] Batch [0349]/[3759] Speed: 99.097694 samples/sec accuracy=68.236607 loss=1.299510 lr=0.001550 Epoch[183] Batch [0399]/[3759] Speed: 95.994875 samples/sec accuracy=68.265625 loss=1.300746 lr=0.001547 Epoch[183] Batch [0449]/[3759] Speed: 94.960887 samples/sec accuracy=68.270833 loss=1.300537 lr=0.001544 Epoch[183] Batch [0499]/[3759] Speed: 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lr=0.001512 Epoch[183] Batch [0999]/[3759] Speed: 98.915276 samples/sec accuracy=68.301563 loss=1.300405 lr=0.001509 Epoch[183] Batch [1049]/[3759] Speed: 98.696458 samples/sec accuracy=68.300595 loss=1.299798 lr=0.001506 Epoch[183] Batch [1099]/[3759] Speed: 98.187029 samples/sec accuracy=68.248580 loss=1.302319 lr=0.001503 Epoch[183] Batch [1149]/[3759] Speed: 96.664269 samples/sec accuracy=68.207880 loss=1.303300 lr=0.001500 Epoch[183] Batch [1199]/[3759] Speed: 99.365316 samples/sec accuracy=68.231771 loss=1.302844 lr=0.001497 Epoch[183] Batch [1249]/[3759] Speed: 98.347839 samples/sec accuracy=68.220000 loss=1.302772 lr=0.001494 Epoch[183] Batch [1299]/[3759] Speed: 98.467695 samples/sec accuracy=68.222356 loss=1.302402 lr=0.001490 Epoch[183] Batch [1349]/[3759] Speed: 98.051612 samples/sec accuracy=68.234954 loss=1.302157 lr=0.001487 Epoch[183] Batch [1399]/[3759] Speed: 98.734567 samples/sec accuracy=68.177455 loss=1.302568 lr=0.001484 Epoch[183] Batch [1449]/[3759] Speed: 98.175716 samples/sec accuracy=68.135776 loss=1.303142 lr=0.001481 Epoch[183] Batch [1499]/[3759] Speed: 96.279603 samples/sec accuracy=68.105208 loss=1.303591 lr=0.001478 Epoch[183] Batch [1549]/[3759] Speed: 99.012314 samples/sec accuracy=68.137097 loss=1.302069 lr=0.001475 Epoch[183] Batch [1599]/[3759] Speed: 97.862895 samples/sec accuracy=68.166992 loss=1.299700 lr=0.001472 Epoch[183] Batch [1649]/[3759] Speed: 99.180171 samples/sec accuracy=68.153409 loss=1.300735 lr=0.001469 Epoch[183] Batch [1699]/[3759] Speed: 97.676993 samples/sec accuracy=68.142463 loss=1.299967 lr=0.001465 Epoch[183] Batch [1749]/[3759] Speed: 99.142809 samples/sec accuracy=68.100000 loss=1.301796 lr=0.001462 Epoch[183] Batch [1799]/[3759] Speed: 98.208614 samples/sec accuracy=68.078993 loss=1.303664 lr=0.001459 Epoch[183] Batch [1849]/[3759] Speed: 97.422279 samples/sec accuracy=68.057432 loss=1.304268 lr=0.001456 Epoch[183] Batch [1899]/[3759] Speed: 98.154532 samples/sec accuracy=68.074836 loss=1.304726 lr=0.001453 Epoch[183] Batch [1949]/[3759] Speed: 98.411580 samples/sec accuracy=68.065705 loss=1.304707 lr=0.001450 Epoch[183] Batch [1999]/[3759] Speed: 98.659532 samples/sec accuracy=68.071875 loss=1.304223 lr=0.001447 Epoch[183] Batch [2049]/[3759] Speed: 97.868880 samples/sec accuracy=68.049543 loss=1.304902 lr=0.001444 Epoch[183] Batch [2099]/[3759] Speed: 98.796703 samples/sec accuracy=68.055060 loss=1.305413 lr=0.001441 Epoch[183] Batch [2149]/[3759] Speed: 97.258754 samples/sec accuracy=68.063227 loss=1.305106 lr=0.001438 Epoch[183] Batch [2199]/[3759] Speed: 97.073927 samples/sec accuracy=68.092330 loss=1.303453 lr=0.001435 Epoch[183] Batch [2249]/[3759] Speed: 97.433586 samples/sec accuracy=68.106944 loss=1.303293 lr=0.001432 Epoch[183] Batch [2299]/[3759] Speed: 99.109925 samples/sec accuracy=68.133152 loss=1.302343 lr=0.001429 Epoch[183] Batch [2349]/[3759] Speed: 97.117321 samples/sec accuracy=68.103723 loss=1.303525 lr=0.001425 Epoch[183] Batch [2399]/[3759] Speed: 98.450359 samples/sec accuracy=68.087891 loss=1.304103 lr=0.001422 Epoch[183] Batch [2449]/[3759] Speed: 98.110837 samples/sec accuracy=68.059311 loss=1.305586 lr=0.001419 Epoch[183] Batch [2499]/[3759] Speed: 98.456011 samples/sec accuracy=68.025625 loss=1.306345 lr=0.001416 Epoch[183] Batch [2549]/[3759] Speed: 96.828228 samples/sec accuracy=68.031863 loss=1.306287 lr=0.001413 Epoch[183] Batch [2599]/[3759] Speed: 96.410273 samples/sec accuracy=68.020433 loss=1.306673 lr=0.001410 Epoch[183] Batch [2649]/[3759] Speed: 99.061085 samples/sec accuracy=68.010024 loss=1.307311 lr=0.001407 Epoch[183] Batch [2699]/[3759] Speed: 96.705085 samples/sec accuracy=68.005208 loss=1.306879 lr=0.001404 Epoch[183] Batch [2749]/[3759] Speed: 98.841835 samples/sec accuracy=67.986364 loss=1.307203 lr=0.001401 Epoch[183] Batch [2799]/[3759] Speed: 97.577798 samples/sec accuracy=68.006696 loss=1.306328 lr=0.001398 Epoch[183] Batch [2849]/[3759] Speed: 99.555415 samples/sec accuracy=68.004386 loss=1.306972 lr=0.001395 Epoch[183] Batch [2899]/[3759] Speed: 95.798712 samples/sec accuracy=68.006466 loss=1.307265 lr=0.001392 Epoch[183] Batch [2949]/[3759] Speed: 97.614730 samples/sec accuracy=68.023305 loss=1.306618 lr=0.001389 Epoch[183] Batch [2999]/[3759] Speed: 99.366886 samples/sec accuracy=68.028646 loss=1.306638 lr=0.001386 Epoch[183] Batch [3049]/[3759] Speed: 98.457505 samples/sec accuracy=68.021516 loss=1.307176 lr=0.001383 Epoch[183] Batch [3099]/[3759] Speed: 98.619919 samples/sec accuracy=68.040827 loss=1.306402 lr=0.001380 Epoch[183] Batch [3149]/[3759] Speed: 97.488200 samples/sec accuracy=68.054563 loss=1.305896 lr=0.001377 Epoch[183] Batch [3199]/[3759] Speed: 99.717028 samples/sec accuracy=68.033203 loss=1.306416 lr=0.001374 Epoch[183] Batch [3249]/[3759] Speed: 96.427653 samples/sec accuracy=68.027404 loss=1.306275 lr=0.001371 Epoch[183] Batch [3299]/[3759] Speed: 98.194925 samples/sec accuracy=68.025568 loss=1.306094 lr=0.001368 Epoch[183] Batch [3349]/[3759] Speed: 98.525894 samples/sec accuracy=68.040112 loss=1.305504 lr=0.001365 Epoch[183] Batch [3399]/[3759] Speed: 99.036873 samples/sec accuracy=68.044577 loss=1.305787 lr=0.001362 Epoch[183] Batch [3449]/[3759] Speed: 98.433476 samples/sec accuracy=68.056612 loss=1.305205 lr=0.001359 Epoch[183] Batch [3499]/[3759] Speed: 98.902309 samples/sec accuracy=68.080357 loss=1.304599 lr=0.001356 Epoch[183] Batch [3549]/[3759] Speed: 98.406013 samples/sec accuracy=68.071743 loss=1.305291 lr=0.001353 Epoch[183] Batch [3599]/[3759] Speed: 96.568438 samples/sec accuracy=68.085069 loss=1.304950 lr=0.001350 Epoch[183] Batch [3649]/[3759] Speed: 99.392533 samples/sec accuracy=68.085616 loss=1.305074 lr=0.001347 Epoch[183] Batch [3699]/[3759] Speed: 98.103247 samples/sec accuracy=68.080236 loss=1.305198 lr=0.001344 Epoch[183] Batch [3749]/[3759] Speed: 110.449468 samples/sec accuracy=68.074583 loss=1.305268 lr=0.001341 Batch [0049]/[0303]: acc-top1=62.562500 acc-top5=82.812500 Batch [0099]/[0303]: acc-top1=59.343750 acc-top5=81.750000 Batch [0149]/[0303]: acc-top1=60.562500 acc-top5=82.208333 Batch [0199]/[0303]: acc-top1=63.062500 acc-top5=83.593750 Batch [0249]/[0303]: acc-top1=62.618750 acc-top5=83.237500 Batch [0299]/[0303]: acc-top1=61.927083 acc-top5=83.208333 [Epoch 183] training: accuracy=68.074122 loss=1.305358 [Epoch 183] speed: 97 samples/sec time cost: 2653.167545 [Epoch 183] validation: acc-top1=61.912129 acc-top5=83.214728 loss=1.736592 Epoch[184] Batch [0049]/[3760] Speed: 68.092738 samples/sec accuracy=69.125000 loss=1.237121 lr=0.001338 Epoch[184] Batch [0099]/[3760] Speed: 95.013602 samples/sec accuracy=68.343750 loss=1.285870 lr=0.001335 Epoch[184] Batch [0149]/[3760] Speed: 97.444274 samples/sec accuracy=68.729167 loss=1.267013 lr=0.001332 Epoch[184] Batch [0199]/[3760] Speed: 96.025027 samples/sec accuracy=68.734375 loss=1.271321 lr=0.001329 Epoch[184] Batch [0249]/[3760] Speed: 99.132594 samples/sec accuracy=68.818750 loss=1.267267 lr=0.001326 Epoch[184] 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accuracy=68.622917 loss=1.280025 lr=0.001296 Epoch[184] Batch [0799]/[3760] Speed: 99.926512 samples/sec accuracy=68.693359 loss=1.275673 lr=0.001294 Epoch[184] Batch [0849]/[3760] Speed: 95.396377 samples/sec accuracy=68.742647 loss=1.273907 lr=0.001291 Epoch[184] Batch [0899]/[3760] Speed: 98.939072 samples/sec accuracy=68.737847 loss=1.272687 lr=0.001288 Epoch[184] Batch [0949]/[3760] Speed: 97.840173 samples/sec accuracy=68.735197 loss=1.272176 lr=0.001285 Epoch[184] Batch [0999]/[3760] Speed: 98.467863 samples/sec accuracy=68.717187 loss=1.273765 lr=0.001282 Epoch[184] Batch [1049]/[3760] Speed: 96.818706 samples/sec accuracy=68.696429 loss=1.275354 lr=0.001279 Epoch[184] Batch [1099]/[3760] Speed: 98.965862 samples/sec accuracy=68.657670 loss=1.277152 lr=0.001276 Epoch[184] Batch [1149]/[3760] Speed: 97.770251 samples/sec accuracy=68.716033 loss=1.276711 lr=0.001273 Epoch[184] Batch [1199]/[3760] Speed: 95.864451 samples/sec accuracy=68.710938 loss=1.278518 lr=0.001270 Epoch[184] 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accuracy=68.691176 loss=1.277750 lr=0.001242 Epoch[184] Batch [1749]/[3760] Speed: 96.828911 samples/sec accuracy=68.683036 loss=1.278170 lr=0.001239 Epoch[184] Batch [1799]/[3760] Speed: 98.069392 samples/sec accuracy=68.647569 loss=1.278917 lr=0.001236 Epoch[184] Batch [1849]/[3760] Speed: 94.790229 samples/sec accuracy=68.646115 loss=1.279431 lr=0.001233 Epoch[184] Batch [1899]/[3760] Speed: 99.881855 samples/sec accuracy=68.648849 loss=1.280056 lr=0.001230 Epoch[184] Batch [1949]/[3760] Speed: 96.770879 samples/sec accuracy=68.636218 loss=1.280317 lr=0.001227 Epoch[184] Batch [1999]/[3760] Speed: 99.223569 samples/sec accuracy=68.639844 loss=1.280020 lr=0.001225 Epoch[184] Batch [2049]/[3760] Speed: 98.199675 samples/sec accuracy=68.637957 loss=1.279806 lr=0.001222 Epoch[184] Batch [2099]/[3760] Speed: 97.950375 samples/sec accuracy=68.642857 loss=1.279165 lr=0.001219 Epoch[184] Batch [2149]/[3760] Speed: 98.095318 samples/sec accuracy=68.631541 loss=1.279035 lr=0.001216 Epoch[184] 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accuracy=68.591981 loss=1.280755 lr=0.001188 Epoch[184] Batch [2699]/[3760] Speed: 97.893396 samples/sec accuracy=68.564236 loss=1.282072 lr=0.001185 Epoch[184] Batch [2749]/[3760] Speed: 97.001222 samples/sec accuracy=68.594886 loss=1.281051 lr=0.001182 Epoch[184] Batch [2799]/[3760] Speed: 98.218923 samples/sec accuracy=68.606585 loss=1.280550 lr=0.001180 Epoch[184] Batch [2849]/[3760] Speed: 97.753203 samples/sec accuracy=68.592654 loss=1.280620 lr=0.001177 Epoch[184] Batch [2899]/[3760] Speed: 97.272846 samples/sec accuracy=68.594289 loss=1.280042 lr=0.001174 Epoch[184] Batch [2949]/[3760] Speed: 98.091399 samples/sec accuracy=68.607521 loss=1.280057 lr=0.001171 Epoch[184] Batch [2999]/[3760] Speed: 99.253233 samples/sec accuracy=68.602604 loss=1.280440 lr=0.001168 Epoch[184] Batch [3049]/[3760] Speed: 97.097059 samples/sec accuracy=68.604508 loss=1.280335 lr=0.001166 Epoch[184] Batch [3099]/[3760] Speed: 99.121398 samples/sec accuracy=68.591230 loss=1.281082 lr=0.001163 Epoch[184] 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accuracy=68.585938 loss=1.281674 lr=0.001135 Epoch[184] Batch [3649]/[3760] Speed: 98.923033 samples/sec accuracy=68.588613 loss=1.282066 lr=0.001133 Epoch[184] Batch [3699]/[3760] Speed: 99.737790 samples/sec accuracy=68.580659 loss=1.282008 lr=0.001130 Epoch[184] Batch [3749]/[3760] Speed: 111.581330 samples/sec accuracy=68.579583 loss=1.281921 lr=0.001127 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=82.562500 Batch [0099]/[0303]: acc-top1=59.671875 acc-top5=81.968750 Batch [0149]/[0303]: acc-top1=60.885417 acc-top5=82.375000 Batch [0199]/[0303]: acc-top1=63.539062 acc-top5=83.664062 Batch [0249]/[0303]: acc-top1=62.987500 acc-top5=83.343750 Batch [0299]/[0303]: acc-top1=62.296875 acc-top5=83.328125 [Epoch 184] training: accuracy=68.575881 loss=1.281984 [Epoch 184] speed: 97 samples/sec time cost: 2657.709956 [Epoch 184] validation: acc-top1=62.257632 acc-top5=83.333333 loss=1.742028 Epoch[185] Batch [0049]/[3760] Speed: 67.442521 samples/sec accuracy=70.343750 loss=1.200656 lr=0.001124 Epoch[185] Batch [0099]/[3760] Speed: 95.440279 samples/sec accuracy=69.953125 loss=1.233397 lr=0.001121 Epoch[185] Batch [0149]/[3760] Speed: 98.043709 samples/sec accuracy=69.458333 loss=1.256886 lr=0.001119 Epoch[185] Batch [0199]/[3760] Speed: 97.757967 samples/sec accuracy=69.109375 loss=1.268867 lr=0.001116 Epoch[185] Batch [0249]/[3760] Speed: 99.604208 samples/sec accuracy=68.793750 loss=1.280893 lr=0.001113 Epoch[185] Batch [0299]/[3760] Speed: 96.689933 samples/sec accuracy=68.963542 loss=1.277350 lr=0.001110 Epoch[185] Batch [0349]/[3760] Speed: 99.034721 samples/sec accuracy=69.062500 loss=1.275961 lr=0.001108 Epoch[185] Batch [0399]/[3760] Speed: 98.178001 samples/sec accuracy=69.023438 loss=1.274659 lr=0.001105 Epoch[185] Batch [0449]/[3760] Speed: 99.204031 samples/sec accuracy=68.895833 loss=1.276757 lr=0.001102 Epoch[185] Batch [0499]/[3760] Speed: 96.327202 samples/sec accuracy=68.868750 loss=1.278996 lr=0.001100 Epoch[185] Batch [0549]/[3760] Speed: 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lr=0.001023 Epoch[185] Batch [1999]/[3760] Speed: 99.359838 samples/sec accuracy=69.055469 loss=1.266739 lr=0.001020 Epoch[185] Batch [2049]/[3760] Speed: 98.476106 samples/sec accuracy=69.066311 loss=1.266143 lr=0.001018 Epoch[185] Batch [2099]/[3760] Speed: 99.400376 samples/sec accuracy=69.046875 loss=1.266536 lr=0.001015 Epoch[185] Batch [2149]/[3760] Speed: 98.628585 samples/sec accuracy=69.083576 loss=1.265779 lr=0.001013 Epoch[185] Batch [2199]/[3760] Speed: 99.185716 samples/sec accuracy=69.105824 loss=1.265303 lr=0.001010 Epoch[185] Batch [2249]/[3760] Speed: 97.935108 samples/sec accuracy=69.107639 loss=1.265238 lr=0.001007 Epoch[185] Batch [2299]/[3760] Speed: 98.441106 samples/sec accuracy=69.110054 loss=1.265880 lr=0.001005 Epoch[185] Batch [2349]/[3760] Speed: 99.082219 samples/sec accuracy=69.102394 loss=1.266222 lr=0.001002 Epoch[185] Batch [2399]/[3760] Speed: 97.693757 samples/sec accuracy=69.076172 loss=1.266965 lr=0.001000 Epoch[185] Batch [2449]/[3760] Speed: 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lr=0.000974 Epoch[185] Batch [2949]/[3760] Speed: 97.226385 samples/sec accuracy=69.101165 loss=1.265564 lr=0.000972 Epoch[185] Batch [2999]/[3760] Speed: 99.284944 samples/sec accuracy=69.082813 loss=1.266265 lr=0.000969 Epoch[185] Batch [3049]/[3760] Speed: 98.698356 samples/sec accuracy=69.090164 loss=1.266237 lr=0.000967 Epoch[185] Batch [3099]/[3760] Speed: 99.645503 samples/sec accuracy=69.093750 loss=1.266244 lr=0.000964 Epoch[185] Batch [3149]/[3760] Speed: 98.112062 samples/sec accuracy=69.122024 loss=1.265824 lr=0.000962 Epoch[185] Batch [3199]/[3760] Speed: 99.441848 samples/sec accuracy=69.139160 loss=1.265141 lr=0.000959 Epoch[185] Batch [3249]/[3760] Speed: 97.527932 samples/sec accuracy=69.145192 loss=1.264671 lr=0.000957 Epoch[185] Batch [3299]/[3760] Speed: 97.828972 samples/sec accuracy=69.128788 loss=1.265302 lr=0.000954 Epoch[185] Batch [3349]/[3760] Speed: 97.521935 samples/sec accuracy=69.122201 loss=1.265712 lr=0.000952 Epoch[185] Batch [3399]/[3760] Speed: 99.133701 samples/sec accuracy=69.141544 loss=1.264607 lr=0.000949 Epoch[185] Batch [3449]/[3760] Speed: 98.273504 samples/sec accuracy=69.152627 loss=1.264117 lr=0.000947 Epoch[185] Batch [3499]/[3760] Speed: 99.076224 samples/sec accuracy=69.162054 loss=1.263427 lr=0.000944 Epoch[185] Batch [3549]/[3760] Speed: 99.014019 samples/sec accuracy=69.169894 loss=1.263264 lr=0.000942 Epoch[185] Batch [3599]/[3760] Speed: 97.975890 samples/sec accuracy=69.159288 loss=1.262994 lr=0.000939 Epoch[185] Batch [3649]/[3760] Speed: 98.298646 samples/sec accuracy=69.156250 loss=1.263197 lr=0.000937 Epoch[185] Batch [3699]/[3760] Speed: 99.008977 samples/sec accuracy=69.156250 loss=1.262761 lr=0.000934 Epoch[185] Batch [3749]/[3760] Speed: 112.223638 samples/sec accuracy=69.183333 loss=1.262166 lr=0.000932 Batch [0049]/[0303]: acc-top1=62.906250 acc-top5=82.562500 Batch [0099]/[0303]: acc-top1=59.609375 acc-top5=81.890625 Batch [0149]/[0303]: acc-top1=60.854167 acc-top5=82.333333 Batch [0199]/[0303]: acc-top1=63.234375 acc-top5=83.718750 Batch [0249]/[0303]: acc-top1=62.712500 acc-top5=83.368750 Batch [0299]/[0303]: acc-top1=62.234375 acc-top5=83.380208 [Epoch 185] training: accuracy=69.185090 loss=1.262109 [Epoch 185] speed: 98 samples/sec time cost: 2639.505883 [Epoch 185] validation: acc-top1=62.211221 acc-top5=83.379744 loss=1.741168 Epoch[186] Batch [0049]/[3759] Speed: 67.124565 samples/sec accuracy=69.843750 loss=1.221019 lr=0.000929 Epoch[186] Batch [0099]/[3759] Speed: 95.259612 samples/sec accuracy=70.171875 loss=1.213579 lr=0.000926 Epoch[186] Batch [0149]/[3759] Speed: 98.127325 samples/sec accuracy=69.958333 loss=1.226077 lr=0.000924 Epoch[186] Batch [0199]/[3759] Speed: 95.641946 samples/sec accuracy=69.687500 loss=1.235328 lr=0.000921 Epoch[186] Batch [0249]/[3759] Speed: 97.894056 samples/sec accuracy=69.850000 loss=1.230942 lr=0.000919 Epoch[186] Batch [0299]/[3759] Speed: 96.604797 samples/sec accuracy=69.765625 loss=1.227064 lr=0.000916 Epoch[186] Batch 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accuracy=69.783203 loss=1.224036 lr=0.000892 Epoch[186] Batch [0849]/[3759] Speed: 98.085766 samples/sec accuracy=69.727941 loss=1.225877 lr=0.000889 Epoch[186] Batch [0899]/[3759] Speed: 98.467765 samples/sec accuracy=69.753472 loss=1.224645 lr=0.000887 Epoch[186] Batch [0949]/[3759] Speed: 95.697030 samples/sec accuracy=69.754934 loss=1.225909 lr=0.000885 Epoch[186] Batch [0999]/[3759] Speed: 99.227545 samples/sec accuracy=69.757812 loss=1.224201 lr=0.000882 Epoch[186] Batch [1049]/[3759] Speed: 98.076589 samples/sec accuracy=69.806548 loss=1.222582 lr=0.000880 Epoch[186] Batch [1099]/[3759] Speed: 98.291190 samples/sec accuracy=69.815341 loss=1.222597 lr=0.000877 Epoch[186] Batch [1149]/[3759] Speed: 97.777308 samples/sec accuracy=69.831522 loss=1.222326 lr=0.000875 Epoch[186] Batch [1199]/[3759] Speed: 98.208372 samples/sec accuracy=69.778646 loss=1.224368 lr=0.000873 Epoch[186] Batch [1249]/[3759] Speed: 98.765645 samples/sec accuracy=69.817500 loss=1.222603 lr=0.000870 Epoch[186] 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accuracy=69.816964 loss=1.227769 lr=0.000846 Epoch[186] Batch [1799]/[3759] Speed: 98.485319 samples/sec accuracy=69.813368 loss=1.228045 lr=0.000844 Epoch[186] Batch [1849]/[3759] Speed: 97.579204 samples/sec accuracy=69.831926 loss=1.227613 lr=0.000842 Epoch[186] Batch [1899]/[3759] Speed: 99.324331 samples/sec accuracy=69.873355 loss=1.226023 lr=0.000839 Epoch[186] Batch [1949]/[3759] Speed: 96.986132 samples/sec accuracy=69.874199 loss=1.226439 lr=0.000837 Epoch[186] Batch [1999]/[3759] Speed: 97.704174 samples/sec accuracy=69.908594 loss=1.226021 lr=0.000835 Epoch[186] Batch [2049]/[3759] Speed: 96.784255 samples/sec accuracy=69.900152 loss=1.226287 lr=0.000832 Epoch[186] Batch [2099]/[3759] Speed: 99.155127 samples/sec accuracy=69.880952 loss=1.226902 lr=0.000830 Epoch[186] Batch [2149]/[3759] Speed: 98.340248 samples/sec accuracy=69.883721 loss=1.226609 lr=0.000828 Epoch[186] Batch [2199]/[3759] Speed: 99.272724 samples/sec accuracy=69.870739 loss=1.227127 lr=0.000825 Epoch[186] 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accuracy=69.818287 loss=1.230526 lr=0.000802 Epoch[186] Batch [2749]/[3759] Speed: 97.846790 samples/sec accuracy=69.798864 loss=1.231226 lr=0.000800 Epoch[186] Batch [2799]/[3759] Speed: 99.028464 samples/sec accuracy=69.787388 loss=1.231594 lr=0.000798 Epoch[186] Batch [2849]/[3759] Speed: 97.016081 samples/sec accuracy=69.765899 loss=1.232486 lr=0.000795 Epoch[186] Batch [2899]/[3759] Speed: 98.748010 samples/sec accuracy=69.771552 loss=1.232807 lr=0.000793 Epoch[186] Batch [2949]/[3759] Speed: 98.042841 samples/sec accuracy=69.792903 loss=1.231832 lr=0.000791 Epoch[186] Batch [2999]/[3759] Speed: 98.359636 samples/sec accuracy=69.787500 loss=1.231844 lr=0.000788 Epoch[186] Batch [3049]/[3759] Speed: 97.269353 samples/sec accuracy=69.785861 loss=1.231838 lr=0.000786 Epoch[186] Batch [3099]/[3759] Speed: 98.744501 samples/sec accuracy=69.771673 loss=1.232931 lr=0.000784 Epoch[186] Batch [3149]/[3759] Speed: 98.754050 samples/sec accuracy=69.759921 loss=1.233076 lr=0.000782 Epoch[186] 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accuracy=69.741866 loss=1.235192 lr=0.000759 Epoch[186] Batch [3699]/[3759] Speed: 98.003798 samples/sec accuracy=69.750422 loss=1.234895 lr=0.000757 Epoch[186] Batch [3749]/[3759] Speed: 110.276294 samples/sec accuracy=69.745833 loss=1.234721 lr=0.000755 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=83.031250 Batch [0099]/[0303]: acc-top1=59.781250 acc-top5=82.296875 Batch [0149]/[0303]: acc-top1=60.937500 acc-top5=82.583333 Batch [0199]/[0303]: acc-top1=63.476562 acc-top5=83.875000 Batch [0249]/[0303]: acc-top1=62.956250 acc-top5=83.550000 Batch [0299]/[0303]: acc-top1=62.531250 acc-top5=83.510417 [Epoch 186] training: accuracy=69.749684 loss=1.234391 [Epoch 186] speed: 97 samples/sec time cost: 2652.974101 [Epoch 186] validation: acc-top1=62.463903 acc-top5=83.508663 loss=1.729964 Epoch[187] Batch [0049]/[3760] Speed: 68.113878 samples/sec accuracy=69.843750 loss=1.260946 lr=0.000752 Epoch[187] Batch [0099]/[3760] Speed: 94.675283 samples/sec accuracy=69.875000 loss=1.256945 lr=0.000750 Epoch[187] Batch [0149]/[3760] Speed: 99.495292 samples/sec accuracy=70.229167 loss=1.234470 lr=0.000747 Epoch[187] Batch [0199]/[3760] Speed: 96.851963 samples/sec accuracy=70.359375 loss=1.218153 lr=0.000745 Epoch[187] Batch [0249]/[3760] Speed: 96.795378 samples/sec accuracy=70.450000 loss=1.204361 lr=0.000743 Epoch[187] Batch [0299]/[3760] Speed: 97.976114 samples/sec accuracy=70.307292 loss=1.203621 lr=0.000741 Epoch[187] Batch [0349]/[3760] Speed: 100.004513 samples/sec accuracy=70.299107 loss=1.204560 lr=0.000739 Epoch[187] Batch [0399]/[3760] Speed: 97.457866 samples/sec accuracy=70.218750 loss=1.209220 lr=0.000736 Epoch[187] Batch [0449]/[3760] Speed: 99.249165 samples/sec accuracy=70.166667 loss=1.214222 lr=0.000734 Epoch[187] Batch [0499]/[3760] Speed: 97.938576 samples/sec accuracy=70.271875 loss=1.209816 lr=0.000732 Epoch[187] Batch [0549]/[3760] Speed: 99.561580 samples/sec accuracy=70.321023 loss=1.208729 lr=0.000730 Epoch[187] Batch [0599]/[3760] Speed: 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lr=0.000708 Epoch[187] Batch [1099]/[3760] Speed: 98.936437 samples/sec accuracy=70.321023 loss=1.209602 lr=0.000706 Epoch[187] Batch [1149]/[3760] Speed: 98.959364 samples/sec accuracy=70.273098 loss=1.211878 lr=0.000704 Epoch[187] Batch [1199]/[3760] Speed: 98.170837 samples/sec accuracy=70.250000 loss=1.212695 lr=0.000702 Epoch[187] Batch [1249]/[3760] Speed: 98.800972 samples/sec accuracy=70.240000 loss=1.211964 lr=0.000699 Epoch[187] Batch [1299]/[3760] Speed: 95.913496 samples/sec accuracy=70.227163 loss=1.211723 lr=0.000697 Epoch[187] Batch [1349]/[3760] Speed: 101.113573 samples/sec accuracy=70.159722 loss=1.213675 lr=0.000695 Epoch[187] Batch [1399]/[3760] Speed: 99.322623 samples/sec accuracy=70.199777 loss=1.212707 lr=0.000693 Epoch[187] Batch [1449]/[3760] Speed: 99.048503 samples/sec accuracy=70.201509 loss=1.212481 lr=0.000691 Epoch[187] Batch [1499]/[3760] Speed: 98.628562 samples/sec accuracy=70.179167 loss=1.213764 lr=0.000689 Epoch[187] Batch [1549]/[3760] Speed: 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loss=1.211204 lr=0.000667 Epoch[187] Batch [2049]/[3760] Speed: 97.326697 samples/sec accuracy=70.163110 loss=1.211545 lr=0.000665 Epoch[187] Batch [2099]/[3760] Speed: 99.359685 samples/sec accuracy=70.166667 loss=1.211813 lr=0.000663 Epoch[187] Batch [2149]/[3760] Speed: 99.082275 samples/sec accuracy=70.155523 loss=1.213132 lr=0.000661 Epoch[187] Batch [2199]/[3760] Speed: 98.210647 samples/sec accuracy=70.154830 loss=1.213162 lr=0.000659 Epoch[187] Batch [2249]/[3760] Speed: 99.171756 samples/sec accuracy=70.169444 loss=1.211702 lr=0.000657 Epoch[187] Batch [2299]/[3760] Speed: 99.404665 samples/sec accuracy=70.183424 loss=1.211078 lr=0.000655 Epoch[187] Batch [2349]/[3760] Speed: 98.541573 samples/sec accuracy=70.160239 loss=1.212328 lr=0.000653 Epoch[187] Batch [2399]/[3760] Speed: 97.422322 samples/sec accuracy=70.187500 loss=1.212463 lr=0.000651 Epoch[187] Batch [2449]/[3760] Speed: 97.849833 samples/sec accuracy=70.176020 loss=1.213459 lr=0.000649 Epoch[187] Batch 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accuracy=70.083157 loss=1.216466 lr=0.000628 Epoch[187] Batch [2999]/[3760] Speed: 99.118402 samples/sec accuracy=70.076042 loss=1.216645 lr=0.000626 Epoch[187] Batch [3049]/[3760] Speed: 98.254897 samples/sec accuracy=70.078893 loss=1.216925 lr=0.000624 Epoch[187] Batch [3099]/[3760] Speed: 97.314882 samples/sec accuracy=70.065020 loss=1.217394 lr=0.000622 Epoch[187] Batch [3149]/[3760] Speed: 99.147241 samples/sec accuracy=70.068948 loss=1.217204 lr=0.000620 Epoch[187] Batch [3199]/[3760] Speed: 99.154659 samples/sec accuracy=70.060547 loss=1.217736 lr=0.000618 Epoch[187] Batch [3249]/[3760] Speed: 98.734840 samples/sec accuracy=70.060096 loss=1.217556 lr=0.000616 Epoch[187] Batch [3299]/[3760] Speed: 99.227043 samples/sec accuracy=70.066288 loss=1.217154 lr=0.000614 Epoch[187] Batch [3349]/[3760] Speed: 97.765822 samples/sec accuracy=70.088153 loss=1.216569 lr=0.000612 Epoch[187] Batch [3399]/[3760] Speed: 98.949431 samples/sec accuracy=70.117188 loss=1.215764 lr=0.000610 Epoch[187] Batch [3449]/[3760] Speed: 96.546194 samples/sec accuracy=70.113678 loss=1.216055 lr=0.000608 Epoch[187] Batch [3499]/[3760] Speed: 98.729468 samples/sec accuracy=70.117411 loss=1.216172 lr=0.000606 Epoch[187] Batch [3549]/[3760] Speed: 98.727079 samples/sec accuracy=70.122359 loss=1.215850 lr=0.000604 Epoch[187] Batch [3599]/[3760] Speed: 98.280976 samples/sec accuracy=70.148003 loss=1.214802 lr=0.000602 Epoch[187] Batch [3649]/[3760] Speed: 99.070729 samples/sec accuracy=70.153682 loss=1.214630 lr=0.000600 Epoch[187] Batch [3699]/[3760] Speed: 98.042697 samples/sec accuracy=70.158361 loss=1.214323 lr=0.000598 Epoch[187] Batch [3749]/[3760] Speed: 111.501630 samples/sec accuracy=70.153750 loss=1.214610 lr=0.000596 Batch [0049]/[0303]: acc-top1=63.531250 acc-top5=83.218750 Batch [0099]/[0303]: acc-top1=60.203125 acc-top5=82.234375 Batch [0149]/[0303]: acc-top1=61.375000 acc-top5=82.604167 Batch [0199]/[0303]: acc-top1=63.773438 acc-top5=83.882812 Batch [0249]/[0303]: acc-top1=63.250000 acc-top5=83.593750 Batch [0299]/[0303]: acc-top1=62.687500 acc-top5=83.562500 [Epoch 187] training: accuracy=70.155419 loss=1.214603 [Epoch 187] speed: 98 samples/sec time cost: 2639.994204 [Epoch 187] validation: acc-top1=62.644389 acc-top5=83.570545 loss=1.727326 Epoch[188] Batch [0049]/[3760] Speed: 67.570587 samples/sec accuracy=70.468750 loss=1.165208 lr=0.000594 Epoch[188] Batch [0099]/[3760] Speed: 93.827705 samples/sec accuracy=71.046875 loss=1.169712 lr=0.000592 Epoch[188] Batch [0149]/[3760] Speed: 98.517000 samples/sec accuracy=71.197917 loss=1.169830 lr=0.000590 Epoch[188] Batch [0199]/[3760] Speed: 95.595436 samples/sec accuracy=71.132812 loss=1.172569 lr=0.000588 Epoch[188] Batch [0249]/[3760] Speed: 99.009784 samples/sec accuracy=71.156250 loss=1.167665 lr=0.000586 Epoch[188] Batch [0299]/[3760] Speed: 94.724677 samples/sec accuracy=71.098958 loss=1.174079 lr=0.000584 Epoch[188] Batch [0349]/[3760] Speed: 99.263688 samples/sec accuracy=70.857143 loss=1.186486 lr=0.000582 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lr=0.000510 Epoch[188] Batch [2299]/[3760] Speed: 98.711397 samples/sec accuracy=70.531929 loss=1.196815 lr=0.000508 Epoch[188] Batch [2349]/[3760] Speed: 98.053775 samples/sec accuracy=70.539229 loss=1.196133 lr=0.000506 Epoch[188] Batch [2399]/[3760] Speed: 98.077646 samples/sec accuracy=70.550130 loss=1.195617 lr=0.000504 Epoch[188] Batch [2449]/[3760] Speed: 98.452253 samples/sec accuracy=70.518495 loss=1.196815 lr=0.000502 Epoch[188] Batch [2499]/[3760] Speed: 98.576306 samples/sec accuracy=70.511875 loss=1.197675 lr=0.000500 Epoch[188] Batch [2549]/[3760] Speed: 98.214968 samples/sec accuracy=70.495098 loss=1.198395 lr=0.000499 Epoch[188] Batch [2599]/[3760] Speed: 98.357734 samples/sec accuracy=70.525841 loss=1.196816 lr=0.000497 Epoch[188] Batch [2649]/[3760] Speed: 97.138781 samples/sec accuracy=70.506486 loss=1.196971 lr=0.000495 Epoch[188] Batch [2699]/[3760] Speed: 98.840245 samples/sec accuracy=70.504630 loss=1.197189 lr=0.000493 Epoch[188] Batch [2749]/[3760] Speed: 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lr=0.000475 Epoch[188] Batch [3249]/[3760] Speed: 99.044733 samples/sec accuracy=70.482212 loss=1.198379 lr=0.000474 Epoch[188] Batch [3299]/[3760] Speed: 98.700420 samples/sec accuracy=70.489583 loss=1.198043 lr=0.000472 Epoch[188] Batch [3349]/[3760] Speed: 97.800290 samples/sec accuracy=70.483675 loss=1.197889 lr=0.000470 Epoch[188] Batch [3399]/[3760] Speed: 98.782748 samples/sec accuracy=70.480699 loss=1.198368 lr=0.000468 Epoch[188] Batch [3449]/[3760] Speed: 97.759067 samples/sec accuracy=70.485507 loss=1.198077 lr=0.000466 Epoch[188] Batch [3499]/[3760] Speed: 96.366978 samples/sec accuracy=70.481250 loss=1.198147 lr=0.000465 Epoch[188] Batch [3549]/[3760] Speed: 99.438250 samples/sec accuracy=70.483715 loss=1.198846 lr=0.000463 Epoch[188] Batch [3599]/[3760] Speed: 98.155447 samples/sec accuracy=70.486979 loss=1.198426 lr=0.000461 Epoch[188] Batch [3649]/[3760] Speed: 99.098295 samples/sec accuracy=70.483305 loss=1.198950 lr=0.000459 Epoch[188] Batch [3699]/[3760] Speed: 98.430421 samples/sec accuracy=70.509713 loss=1.198450 lr=0.000458 Epoch[188] Batch [3749]/[3760] Speed: 111.864267 samples/sec accuracy=70.508333 loss=1.198961 lr=0.000456 Batch [0049]/[0303]: acc-top1=63.218750 acc-top5=82.875000 Batch [0099]/[0303]: acc-top1=60.296875 acc-top5=82.406250 Batch [0149]/[0303]: acc-top1=61.510417 acc-top5=82.864583 Batch [0199]/[0303]: acc-top1=64.031250 acc-top5=84.257812 Batch [0249]/[0303]: acc-top1=63.437500 acc-top5=83.868750 Batch [0299]/[0303]: acc-top1=62.901042 acc-top5=83.802083 [Epoch 188] training: accuracy=70.508644 loss=1.199046 [Epoch 188] speed: 97 samples/sec time cost: 2657.011828 [Epoch 188] validation: acc-top1=62.855817 acc-top5=83.787129 loss=1.710208 Epoch[189] Batch [0049]/[3759] Speed: 67.769155 samples/sec accuracy=71.812500 loss=1.192703 lr=0.000454 Epoch[189] Batch [0099]/[3759] Speed: 95.869659 samples/sec accuracy=71.015625 loss=1.182988 lr=0.000452 Epoch[189] Batch [0149]/[3759] Speed: 97.437961 samples/sec accuracy=71.229167 loss=1.190811 lr=0.000450 Epoch[189] Batch [0199]/[3759] Speed: 96.491616 samples/sec accuracy=71.195312 loss=1.189477 lr=0.000449 Epoch[189] Batch [0249]/[3759] Speed: 99.353282 samples/sec accuracy=71.056250 loss=1.187464 lr=0.000447 Epoch[189] Batch [0299]/[3759] Speed: 96.063014 samples/sec accuracy=70.906250 loss=1.194416 lr=0.000445 Epoch[189] Batch [0349]/[3759] Speed: 100.857217 samples/sec accuracy=70.816964 loss=1.197605 lr=0.000444 Epoch[189] Batch [0399]/[3759] Speed: 96.503161 samples/sec accuracy=70.730469 loss=1.196268 lr=0.000442 Epoch[189] Batch [0449]/[3759] Speed: 98.639373 samples/sec accuracy=70.760417 loss=1.193558 lr=0.000440 Epoch[189] Batch [0499]/[3759] Speed: 95.538894 samples/sec accuracy=70.784375 loss=1.191142 lr=0.000438 Epoch[189] Batch [0549]/[3759] Speed: 98.411405 samples/sec accuracy=70.798295 loss=1.189460 lr=0.000437 Epoch[189] Batch [0599]/[3759] Speed: 98.538490 samples/sec accuracy=70.736979 loss=1.191540 lr=0.000435 Epoch[189] Batch [0649]/[3759] Speed: 98.425980 samples/sec accuracy=70.735577 loss=1.191071 lr=0.000433 Epoch[189] Batch [0699]/[3759] Speed: 99.259649 samples/sec accuracy=70.781250 loss=1.189756 lr=0.000432 Epoch[189] Batch [0749]/[3759] Speed: 97.520896 samples/sec accuracy=70.743750 loss=1.190324 lr=0.000430 Epoch[189] Batch [0799]/[3759] Speed: 100.123746 samples/sec accuracy=70.732422 loss=1.191267 lr=0.000428 Epoch[189] Batch [0849]/[3759] Speed: 94.461137 samples/sec accuracy=70.738971 loss=1.190254 lr=0.000427 Epoch[189] Batch [0899]/[3759] Speed: 100.759328 samples/sec accuracy=70.727431 loss=1.190069 lr=0.000425 Epoch[189] Batch [0949]/[3759] Speed: 97.479894 samples/sec accuracy=70.769737 loss=1.187788 lr=0.000423 Epoch[189] Batch [0999]/[3759] Speed: 98.707333 samples/sec accuracy=70.873438 loss=1.184890 lr=0.000422 Epoch[189] Batch [1049]/[3759] Speed: 97.572703 samples/sec accuracy=70.919643 loss=1.183259 lr=0.000420 Epoch[189] Batch [1099]/[3759] Speed: 99.651116 samples/sec accuracy=70.916193 loss=1.183599 lr=0.000418 Epoch[189] Batch [1149]/[3759] Speed: 96.601851 samples/sec accuracy=70.956522 loss=1.184111 lr=0.000417 Epoch[189] Batch [1199]/[3759] Speed: 94.602755 samples/sec accuracy=71.031250 loss=1.182105 lr=0.000415 Epoch[189] Batch [1249]/[3759] Speed: 99.445644 samples/sec accuracy=70.996250 loss=1.182919 lr=0.000413 Epoch[189] Batch [1299]/[3759] Speed: 98.449434 samples/sec accuracy=70.956731 loss=1.184150 lr=0.000412 Epoch[189] Batch [1349]/[3759] Speed: 98.434373 samples/sec accuracy=70.913194 loss=1.185685 lr=0.000410 Epoch[189] Batch [1399]/[3759] Speed: 96.871039 samples/sec accuracy=70.850446 loss=1.188725 lr=0.000408 Epoch[189] Batch [1449]/[3759] Speed: 99.086901 samples/sec accuracy=70.856681 loss=1.189387 lr=0.000407 Epoch[189] Batch [1499]/[3759] Speed: 97.625513 samples/sec accuracy=70.813542 loss=1.189637 lr=0.000405 Epoch[189] Batch [1549]/[3759] Speed: 99.183576 samples/sec accuracy=70.783266 loss=1.189569 lr=0.000403 Epoch[189] Batch [1599]/[3759] Speed: 96.726455 samples/sec accuracy=70.808594 loss=1.188565 lr=0.000402 Epoch[189] Batch [1649]/[3759] Speed: 99.948969 samples/sec accuracy=70.810606 loss=1.188524 lr=0.000400 Epoch[189] Batch [1699]/[3759] Speed: 98.165519 samples/sec accuracy=70.789522 loss=1.189338 lr=0.000398 Epoch[189] Batch [1749]/[3759] Speed: 98.388550 samples/sec accuracy=70.772321 loss=1.188880 lr=0.000397 Epoch[189] Batch [1799]/[3759] Speed: 99.026037 samples/sec accuracy=70.792535 loss=1.188074 lr=0.000395 Epoch[189] Batch [1849]/[3759] Speed: 99.062269 samples/sec accuracy=70.762669 loss=1.188947 lr=0.000394 Epoch[189] Batch [1899]/[3759] Speed: 98.800860 samples/sec accuracy=70.786184 loss=1.188472 lr=0.000392 Epoch[189] Batch [1949]/[3759] Speed: 97.523508 samples/sec accuracy=70.808494 loss=1.187116 lr=0.000390 Epoch[189] Batch [1999]/[3759] Speed: 98.977198 samples/sec accuracy=70.809375 loss=1.186767 lr=0.000389 Epoch[189] Batch [2049]/[3759] Speed: 98.582216 samples/sec accuracy=70.775915 loss=1.188769 lr=0.000387 Epoch[189] Batch [2099]/[3759] Speed: 99.558923 samples/sec accuracy=70.764137 loss=1.188837 lr=0.000386 Epoch[189] Batch [2149]/[3759] Speed: 98.786538 samples/sec accuracy=70.767442 loss=1.188731 lr=0.000384 Epoch[189] Batch [2199]/[3759] Speed: 99.061724 samples/sec accuracy=70.750710 loss=1.189327 lr=0.000382 Epoch[189] Batch [2249]/[3759] Speed: 98.703238 samples/sec accuracy=70.747222 loss=1.189119 lr=0.000381 Epoch[189] Batch [2299]/[3759] Speed: 97.825102 samples/sec accuracy=70.747962 loss=1.189545 lr=0.000379 Epoch[189] Batch [2349]/[3759] Speed: 98.986400 samples/sec accuracy=70.755319 loss=1.189371 lr=0.000378 Epoch[189] Batch [2399]/[3759] Speed: 98.608934 samples/sec accuracy=70.763672 loss=1.189328 lr=0.000376 Epoch[189] Batch [2449]/[3759] Speed: 98.782192 samples/sec accuracy=70.778699 loss=1.188721 lr=0.000374 Epoch[189] Batch [2499]/[3759] Speed: 99.169421 samples/sec accuracy=70.795000 loss=1.188249 lr=0.000373 Epoch[189] Batch [2549]/[3759] Speed: 99.541611 samples/sec accuracy=70.807598 loss=1.188224 lr=0.000371 Epoch[189] Batch [2599]/[3759] Speed: 98.333354 samples/sec accuracy=70.809495 loss=1.187813 lr=0.000370 Epoch[189] Batch [2649]/[3759] Speed: 96.935279 samples/sec accuracy=70.798349 loss=1.188549 lr=0.000368 Epoch[189] Batch [2699]/[3759] Speed: 98.484283 samples/sec accuracy=70.788194 loss=1.189200 lr=0.000367 Epoch[189] Batch [2749]/[3759] Speed: 97.801298 samples/sec accuracy=70.786364 loss=1.189312 lr=0.000365 Epoch[189] Batch [2799]/[3759] Speed: 98.894660 samples/sec accuracy=70.780692 loss=1.189306 lr=0.000364 Epoch[189] Batch [2849]/[3759] Speed: 97.641577 samples/sec accuracy=70.807018 loss=1.188242 lr=0.000362 Epoch[189] Batch [2899]/[3759] Speed: 97.655574 samples/sec accuracy=70.808728 loss=1.187869 lr=0.000360 Epoch[189] Batch [2949]/[3759] Speed: 98.957692 samples/sec accuracy=70.804555 loss=1.188047 lr=0.000359 Epoch[189] Batch [2999]/[3759] Speed: 97.309504 samples/sec accuracy=70.796354 loss=1.187823 lr=0.000357 Epoch[189] Batch [3049]/[3759] Speed: 99.409578 samples/sec accuracy=70.789447 loss=1.187531 lr=0.000356 Epoch[189] Batch [3099]/[3759] Speed: 98.163015 samples/sec accuracy=70.797883 loss=1.187232 lr=0.000354 Epoch[189] Batch [3149]/[3759] Speed: 99.381240 samples/sec accuracy=70.782242 loss=1.187703 lr=0.000353 Epoch[189] Batch [3199]/[3759] Speed: 97.710271 samples/sec accuracy=70.774902 loss=1.187826 lr=0.000351 Epoch[189] Batch [3249]/[3759] Speed: 98.634535 samples/sec accuracy=70.776442 loss=1.187425 lr=0.000350 Epoch[189] Batch [3299]/[3759] Speed: 99.360815 samples/sec accuracy=70.774148 loss=1.187381 lr=0.000348 Epoch[189] Batch [3349]/[3759] Speed: 97.650906 samples/sec accuracy=70.762127 loss=1.187487 lr=0.000347 Epoch[189] Batch [3399]/[3759] Speed: 99.201289 samples/sec accuracy=70.765165 loss=1.186808 lr=0.000345 Epoch[189] Batch [3449]/[3759] Speed: 99.709073 samples/sec accuracy=70.781250 loss=1.186387 lr=0.000344 Epoch[189] Batch [3499]/[3759] Speed: 98.600199 samples/sec accuracy=70.786607 loss=1.186392 lr=0.000342 Epoch[189] Batch [3549]/[3759] Speed: 99.046798 samples/sec accuracy=70.785211 loss=1.186349 lr=0.000341 Epoch[189] Batch [3599]/[3759] Speed: 98.774344 samples/sec accuracy=70.798611 loss=1.186213 lr=0.000339 Epoch[189] Batch [3649]/[3759] Speed: 99.060742 samples/sec accuracy=70.807363 loss=1.185656 lr=0.000338 Epoch[189] Batch [3699]/[3759] Speed: 96.953598 samples/sec accuracy=70.806588 loss=1.185289 lr=0.000336 Epoch[189] Batch [3749]/[3759] Speed: 113.677038 samples/sec accuracy=70.810000 loss=1.185058 lr=0.000335 Batch [0049]/[0303]: acc-top1=63.562500 acc-top5=83.156250 Batch [0099]/[0303]: acc-top1=60.718750 acc-top5=82.406250 Batch [0149]/[0303]: acc-top1=61.572917 acc-top5=82.843750 Batch [0199]/[0303]: acc-top1=64.015625 acc-top5=84.242188 Batch [0249]/[0303]: acc-top1=63.525000 acc-top5=83.887500 Batch [0299]/[0303]: acc-top1=62.984375 acc-top5=83.880208 [Epoch 189] training: accuracy=70.817122 loss=1.185012 [Epoch 189] speed: 97 samples/sec time cost: 2645.499262 [Epoch 189] validation: acc-top1=62.933168 acc-top5=83.885107 loss=1.702820 Epoch[190] Batch [0049]/[3760] Speed: 66.795232 samples/sec accuracy=69.875000 loss=1.230442 lr=0.000333 Epoch[190] Batch [0099]/[3760] Speed: 94.681888 samples/sec accuracy=71.031250 loss=1.198478 lr=0.000331 Epoch[190] Batch [0149]/[3760] Speed: 99.207629 samples/sec accuracy=71.375000 loss=1.181684 lr=0.000330 Epoch[190] Batch [0199]/[3760] Speed: 95.777757 samples/sec accuracy=71.734375 loss=1.159533 lr=0.000328 Epoch[190] Batch [0249]/[3760] Speed: 97.820404 samples/sec accuracy=71.568750 loss=1.159071 lr=0.000327 Epoch[190] Batch [0299]/[3760] Speed: 96.740100 samples/sec accuracy=71.473958 loss=1.162803 lr=0.000325 Epoch[190] Batch [0349]/[3760] Speed: 99.678475 samples/sec accuracy=71.285714 loss=1.170972 lr=0.000324 Epoch[190] Batch [0399]/[3760] Speed: 97.487305 samples/sec accuracy=71.222656 loss=1.173727 lr=0.000323 Epoch[190] Batch [0449]/[3760] Speed: 98.726295 samples/sec accuracy=71.364583 loss=1.169062 lr=0.000321 Epoch[190] Batch [0499]/[3760] Speed: 98.095537 samples/sec accuracy=71.231250 loss=1.171416 lr=0.000320 Epoch[190] Batch [0549]/[3760] Speed: 98.161261 samples/sec accuracy=71.301136 loss=1.169633 lr=0.000318 Epoch[190] Batch [0599]/[3760] Speed: 95.501886 samples/sec accuracy=71.252604 loss=1.171313 lr=0.000317 Epoch[190] Batch [0649]/[3760] Speed: 98.147696 samples/sec accuracy=71.278846 loss=1.171850 lr=0.000315 Epoch[190] Batch [0699]/[3760] Speed: 97.632312 samples/sec accuracy=71.319196 loss=1.170271 lr=0.000314 Epoch[190] Batch [0749]/[3760] Speed: 98.261981 samples/sec accuracy=71.356250 loss=1.167141 lr=0.000312 Epoch[190] Batch [0799]/[3760] Speed: 98.744329 samples/sec accuracy=71.357422 loss=1.167312 lr=0.000311 Epoch[190] Batch [0849]/[3760] Speed: 98.055130 samples/sec accuracy=71.411765 loss=1.164508 lr=0.000310 Epoch[190] 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accuracy=71.400463 loss=1.167018 lr=0.000295 Epoch[190] Batch [1399]/[3760] Speed: 98.005403 samples/sec accuracy=71.391741 loss=1.166587 lr=0.000294 Epoch[190] Batch [1449]/[3760] Speed: 99.297038 samples/sec accuracy=71.424569 loss=1.163819 lr=0.000293 Epoch[190] Batch [1499]/[3760] Speed: 98.884653 samples/sec accuracy=71.439583 loss=1.162512 lr=0.000291 Epoch[190] Batch [1549]/[3760] Speed: 99.793420 samples/sec accuracy=71.420363 loss=1.162107 lr=0.000290 Epoch[190] Batch [1599]/[3760] Speed: 98.077734 samples/sec accuracy=71.398438 loss=1.162738 lr=0.000288 Epoch[190] Batch [1649]/[3760] Speed: 99.305943 samples/sec accuracy=71.411932 loss=1.162349 lr=0.000287 Epoch[190] Batch [1699]/[3760] Speed: 95.988143 samples/sec accuracy=71.362132 loss=1.163850 lr=0.000286 Epoch[190] Batch [1749]/[3760] Speed: 97.943901 samples/sec accuracy=71.300000 loss=1.165852 lr=0.000284 Epoch[190] Batch [1799]/[3760] Speed: 98.374015 samples/sec accuracy=71.280382 loss=1.167722 lr=0.000283 Epoch[190] 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accuracy=71.256793 loss=1.169991 lr=0.000269 Epoch[190] Batch [2349]/[3760] Speed: 99.232053 samples/sec accuracy=71.244016 loss=1.170191 lr=0.000268 Epoch[190] Batch [2399]/[3760] Speed: 97.562144 samples/sec accuracy=71.270833 loss=1.169143 lr=0.000267 Epoch[190] Batch [2449]/[3760] Speed: 98.966909 samples/sec accuracy=71.274872 loss=1.169022 lr=0.000265 Epoch[190] Batch [2499]/[3760] Speed: 98.050848 samples/sec accuracy=71.263750 loss=1.169384 lr=0.000264 Epoch[190] Batch [2549]/[3760] Speed: 98.706596 samples/sec accuracy=71.258578 loss=1.169966 lr=0.000263 Epoch[190] Batch [2599]/[3760] Speed: 98.828996 samples/sec accuracy=71.274038 loss=1.169381 lr=0.000261 Epoch[190] Batch [2649]/[3760] Speed: 98.001644 samples/sec accuracy=71.295991 loss=1.169091 lr=0.000260 Epoch[190] Batch [2699]/[3760] Speed: 99.343139 samples/sec accuracy=71.289352 loss=1.169717 lr=0.000259 Epoch[190] Batch [2749]/[3760] Speed: 96.189534 samples/sec accuracy=71.280114 loss=1.169999 lr=0.000257 Epoch[190] 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accuracy=71.252404 loss=1.170133 lr=0.000245 Epoch[190] Batch [3299]/[3760] Speed: 98.753221 samples/sec accuracy=71.259943 loss=1.170134 lr=0.000243 Epoch[190] Batch [3349]/[3760] Speed: 99.250551 samples/sec accuracy=71.274254 loss=1.169935 lr=0.000242 Epoch[190] Batch [3399]/[3760] Speed: 98.846953 samples/sec accuracy=71.270221 loss=1.170072 lr=0.000241 Epoch[190] Batch [3449]/[3760] Speed: 97.728372 samples/sec accuracy=71.277174 loss=1.169922 lr=0.000239 Epoch[190] Batch [3499]/[3760] Speed: 97.334070 samples/sec accuracy=71.256250 loss=1.170429 lr=0.000238 Epoch[190] Batch [3549]/[3760] Speed: 98.149342 samples/sec accuracy=71.266285 loss=1.170213 lr=0.000237 Epoch[190] Batch [3599]/[3760] Speed: 98.717801 samples/sec accuracy=71.277344 loss=1.169909 lr=0.000236 Epoch[190] Batch [3649]/[3760] Speed: 97.870704 samples/sec accuracy=71.291524 loss=1.169823 lr=0.000234 Epoch[190] Batch [3699]/[3760] Speed: 99.079096 samples/sec accuracy=71.286318 loss=1.169726 lr=0.000233 Epoch[190] Batch [3749]/[3760] Speed: 111.974415 samples/sec accuracy=71.295833 loss=1.169565 lr=0.000232 Batch [0049]/[0303]: acc-top1=63.937500 acc-top5=83.125000 Batch [0099]/[0303]: acc-top1=60.687500 acc-top5=82.671875 Batch [0149]/[0303]: acc-top1=61.822917 acc-top5=82.895833 Batch [0199]/[0303]: acc-top1=64.320312 acc-top5=84.164062 Batch [0249]/[0303]: acc-top1=63.725000 acc-top5=83.862500 Batch [0299]/[0303]: acc-top1=63.052083 acc-top5=83.859375 [Epoch 190] training: accuracy=71.306100 loss=1.169113 [Epoch 190] speed: 97 samples/sec time cost: 2646.107878 [Epoch 190] validation: acc-top1=63.010520 acc-top5=83.849010 loss=1.699338 Epoch[191] Batch [0049]/[3760] Speed: 66.150005 samples/sec accuracy=71.250000 loss=1.171796 lr=0.000230 Epoch[191] Batch [0099]/[3760] Speed: 94.800778 samples/sec accuracy=72.000000 loss=1.151280 lr=0.000229 Epoch[191] Batch [0149]/[3760] Speed: 98.521431 samples/sec accuracy=71.760417 loss=1.160968 lr=0.000228 Epoch[191] Batch [0199]/[3760] Speed: 95.130273 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lr=0.000216 Epoch[191] Batch [0699]/[3760] Speed: 98.354118 samples/sec accuracy=71.747768 loss=1.152684 lr=0.000215 Epoch[191] Batch [0749]/[3760] Speed: 96.927967 samples/sec accuracy=71.633333 loss=1.156885 lr=0.000213 Epoch[191] Batch [0799]/[3760] Speed: 97.256733 samples/sec accuracy=71.679688 loss=1.156230 lr=0.000212 Epoch[191] Batch [0849]/[3760] Speed: 97.226000 samples/sec accuracy=71.680147 loss=1.155688 lr=0.000211 Epoch[191] Batch [0899]/[3760] Speed: 99.013436 samples/sec accuracy=71.722222 loss=1.154107 lr=0.000210 Epoch[191] Batch [0949]/[3760] Speed: 97.688503 samples/sec accuracy=71.761513 loss=1.151511 lr=0.000209 Epoch[191] Batch [0999]/[3760] Speed: 98.140489 samples/sec accuracy=71.779687 loss=1.151302 lr=0.000208 Epoch[191] Batch [1049]/[3760] Speed: 97.140399 samples/sec accuracy=71.706845 loss=1.152393 lr=0.000206 Epoch[191] Batch [1099]/[3760] Speed: 98.138141 samples/sec accuracy=71.673295 loss=1.153851 lr=0.000205 Epoch[191] Batch [1149]/[3760] Speed: 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lr=0.000194 Epoch[191] Batch [1649]/[3760] Speed: 98.313318 samples/sec accuracy=71.654356 loss=1.153219 lr=0.000193 Epoch[191] Batch [1699]/[3760] Speed: 98.463383 samples/sec accuracy=71.670956 loss=1.152919 lr=0.000191 Epoch[191] Batch [1749]/[3760] Speed: 99.073749 samples/sec accuracy=71.681250 loss=1.152765 lr=0.000190 Epoch[191] Batch [1799]/[3760] Speed: 97.709552 samples/sec accuracy=71.645833 loss=1.154013 lr=0.000189 Epoch[191] Batch [1849]/[3760] Speed: 96.403727 samples/sec accuracy=71.658784 loss=1.153023 lr=0.000188 Epoch[191] Batch [1899]/[3760] Speed: 98.731366 samples/sec accuracy=71.625000 loss=1.154530 lr=0.000187 Epoch[191] Batch [1949]/[3760] Speed: 97.230711 samples/sec accuracy=71.622596 loss=1.154032 lr=0.000186 Epoch[191] Batch [1999]/[3760] Speed: 99.091113 samples/sec accuracy=71.617188 loss=1.154163 lr=0.000185 Epoch[191] Batch [2049]/[3760] Speed: 97.942049 samples/sec accuracy=71.592988 loss=1.154544 lr=0.000184 Epoch[191] Batch [2099]/[3760] Speed: 98.543474 samples/sec accuracy=71.598214 loss=1.154318 lr=0.000183 Epoch[191] Batch [2149]/[3760] Speed: 97.146208 samples/sec accuracy=71.585756 loss=1.154465 lr=0.000181 Epoch[191] Batch [2199]/[3760] Speed: 95.942678 samples/sec accuracy=71.561790 loss=1.154902 lr=0.000180 Epoch[191] Batch [2249]/[3760] Speed: 99.515439 samples/sec accuracy=71.572222 loss=1.155067 lr=0.000179 Epoch[191] Batch [2299]/[3760] Speed: 98.524455 samples/sec accuracy=71.579484 loss=1.154743 lr=0.000178 Epoch[191] Batch [2349]/[3760] Speed: 97.736367 samples/sec accuracy=71.601729 loss=1.154216 lr=0.000177 Epoch[191] Batch [2399]/[3760] Speed: 97.914523 samples/sec accuracy=71.619141 loss=1.153908 lr=0.000176 Epoch[191] Batch [2449]/[3760] Speed: 97.714570 samples/sec accuracy=71.620536 loss=1.153260 lr=0.000175 Epoch[191] Batch [2499]/[3760] Speed: 97.583560 samples/sec accuracy=71.610625 loss=1.153600 lr=0.000174 Epoch[191] Batch [2549]/[3760] Speed: 98.726664 samples/sec accuracy=71.593137 loss=1.154844 lr=0.000173 Epoch[191] Batch [2599]/[3760] Speed: 95.755265 samples/sec accuracy=71.600962 loss=1.154858 lr=0.000172 Epoch[191] Batch [2649]/[3760] Speed: 99.038851 samples/sec accuracy=71.597877 loss=1.155281 lr=0.000171 Epoch[191] Batch [2699]/[3760] Speed: 97.234636 samples/sec accuracy=71.605903 loss=1.155300 lr=0.000170 Epoch[191] Batch [2749]/[3760] Speed: 98.777811 samples/sec accuracy=71.591477 loss=1.156543 lr=0.000169 Epoch[191] Batch [2799]/[3760] Speed: 97.809468 samples/sec accuracy=71.601004 loss=1.156730 lr=0.000167 Epoch[191] Batch [2849]/[3760] Speed: 97.800385 samples/sec accuracy=71.605263 loss=1.156822 lr=0.000166 Epoch[191] Batch [2899]/[3760] Speed: 97.622402 samples/sec accuracy=71.608836 loss=1.156361 lr=0.000165 Epoch[191] Batch [2949]/[3760] Speed: 96.507093 samples/sec accuracy=71.607521 loss=1.156593 lr=0.000164 Epoch[191] Batch [2999]/[3760] Speed: 98.264633 samples/sec accuracy=71.602604 loss=1.156733 lr=0.000163 Epoch[191] Batch [3049]/[3760] Speed: 97.604011 samples/sec accuracy=71.604508 loss=1.156075 lr=0.000162 Epoch[191] Batch [3099]/[3760] Speed: 98.733544 samples/sec accuracy=71.597782 loss=1.156335 lr=0.000161 Epoch[191] Batch [3149]/[3760] Speed: 98.698186 samples/sec accuracy=71.610615 loss=1.155354 lr=0.000160 Epoch[191] Batch [3199]/[3760] Speed: 97.958218 samples/sec accuracy=71.623535 loss=1.154901 lr=0.000159 Epoch[191] Batch [3249]/[3760] Speed: 97.833927 samples/sec accuracy=71.616346 loss=1.155215 lr=0.000158 Epoch[191] Batch [3299]/[3760] Speed: 97.033593 samples/sec accuracy=71.606061 loss=1.155750 lr=0.000157 Epoch[191] Batch [3349]/[3760] Speed: 98.021602 samples/sec accuracy=71.587220 loss=1.156803 lr=0.000156 Epoch[191] Batch [3399]/[3760] Speed: 98.740766 samples/sec accuracy=71.590533 loss=1.156313 lr=0.000155 Epoch[191] Batch [3449]/[3760] Speed: 97.797980 samples/sec accuracy=71.585598 loss=1.156253 lr=0.000154 Epoch[191] Batch [3499]/[3760] Speed: 98.377851 samples/sec accuracy=71.579018 loss=1.156538 lr=0.000153 Epoch[191] Batch [3549]/[3760] Speed: 96.855464 samples/sec accuracy=71.578345 loss=1.156792 lr=0.000152 Epoch[191] Batch [3599]/[3760] Speed: 97.382509 samples/sec accuracy=71.582031 loss=1.156654 lr=0.000151 Epoch[191] Batch [3649]/[3760] Speed: 96.907280 samples/sec accuracy=71.576199 loss=1.156330 lr=0.000150 Epoch[191] Batch [3699]/[3760] Speed: 97.608081 samples/sec accuracy=71.569257 loss=1.156720 lr=0.000149 Epoch[191] Batch [3749]/[3760] Speed: 112.287483 samples/sec accuracy=71.560833 loss=1.157327 lr=0.000148 Batch [0049]/[0303]: acc-top1=64.343750 acc-top5=83.312500 Batch [0099]/[0303]: acc-top1=60.765625 acc-top5=82.609375 Batch [0149]/[0303]: acc-top1=61.822917 acc-top5=83.052083 Batch [0199]/[0303]: acc-top1=64.257812 acc-top5=84.421875 Batch [0249]/[0303]: acc-top1=63.693750 acc-top5=84.212500 Batch [0299]/[0303]: acc-top1=63.093750 acc-top5=84.135417 [Epoch 191] training: accuracy=71.565409 loss=1.157223 [Epoch 191] speed: 97 samples/sec time cost: 2662.713285 [Epoch 191] validation: acc-top1=63.051774 acc-top5=84.122318 loss=1.697401 Epoch[192] Batch [0049]/[3759] Speed: 68.181363 samples/sec accuracy=72.031250 loss=1.145415 lr=0.000147 Epoch[192] Batch [0099]/[3759] Speed: 94.265312 samples/sec accuracy=72.250000 loss=1.125374 lr=0.000146 Epoch[192] Batch [0149]/[3759] Speed: 97.930889 samples/sec accuracy=71.958333 loss=1.156223 lr=0.000145 Epoch[192] Batch [0199]/[3759] Speed: 93.080210 samples/sec accuracy=72.023438 loss=1.157509 lr=0.000144 Epoch[192] Batch [0249]/[3759] Speed: 98.918093 samples/sec accuracy=72.112500 loss=1.149171 lr=0.000143 Epoch[192] Batch [0299]/[3759] Speed: 96.516145 samples/sec accuracy=71.947917 loss=1.151391 lr=0.000142 Epoch[192] Batch [0349]/[3759] Speed: 98.769953 samples/sec accuracy=71.741071 loss=1.157256 lr=0.000141 Epoch[192] Batch [0399]/[3759] Speed: 97.015043 samples/sec accuracy=71.746094 loss=1.152654 lr=0.000140 Epoch[192] Batch [0449]/[3759] Speed: 97.920226 samples/sec accuracy=71.565972 loss=1.156311 lr=0.000139 Epoch[192] Batch [0499]/[3759] Speed: 98.598751 samples/sec accuracy=71.590625 loss=1.153692 lr=0.000138 Epoch[192] Batch [0549]/[3759] Speed: 94.736277 samples/sec accuracy=71.625000 loss=1.154938 lr=0.000137 Epoch[192] Batch [0599]/[3759] Speed: 100.715903 samples/sec accuracy=71.723958 loss=1.150238 lr=0.000136 Epoch[192] Batch [0649]/[3759] Speed: 97.364530 samples/sec accuracy=71.713942 loss=1.151486 lr=0.000135 Epoch[192] Batch [0699]/[3759] Speed: 98.230824 samples/sec accuracy=71.629464 loss=1.154854 lr=0.000134 Epoch[192] Batch [0749]/[3759] Speed: 98.150481 samples/sec accuracy=71.714583 loss=1.153883 lr=0.000133 Epoch[192] Batch [0799]/[3759] Speed: 98.414193 samples/sec accuracy=71.787109 loss=1.152849 lr=0.000132 Epoch[192] Batch [0849]/[3759] Speed: 97.939825 samples/sec accuracy=71.707721 loss=1.155161 lr=0.000131 Epoch[192] Batch [0899]/[3759] Speed: 98.328010 samples/sec accuracy=71.723958 loss=1.155499 lr=0.000131 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lr=0.000083 Batch [0049]/[0303]: acc-top1=64.562500 acc-top5=83.125000 Batch [0099]/[0303]: acc-top1=60.937500 acc-top5=82.546875 Batch [0149]/[0303]: acc-top1=62.177083 acc-top5=83.052083 Batch [0199]/[0303]: acc-top1=64.562500 acc-top5=84.406250 Batch [0249]/[0303]: acc-top1=63.950000 acc-top5=84.118750 Batch [0299]/[0303]: acc-top1=63.312500 acc-top5=84.072917 [Epoch 192] training: accuracy=71.766095 loss=1.149495 [Epoch 192] speed: 97 samples/sec time cost: 2656.504349 [Epoch 192] validation: acc-top1=63.258045 acc-top5=84.081064 loss=1.704120 Epoch[193] Batch [0049]/[3760] Speed: 67.333964 samples/sec accuracy=71.687500 loss=1.165839 lr=0.000082 Epoch[193] Batch [0099]/[3760] Speed: 94.724981 samples/sec accuracy=71.765625 loss=1.146182 lr=0.000081 Epoch[193] Batch [0149]/[3760] Speed: 98.956612 samples/sec accuracy=71.875000 loss=1.134251 lr=0.000080 Epoch[193] Batch [0199]/[3760] Speed: 95.602807 samples/sec accuracy=71.898438 loss=1.130801 lr=0.000080 Epoch[193] Batch 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accuracy=72.058036 loss=1.130472 lr=0.000073 Epoch[193] Batch [0749]/[3760] Speed: 98.393450 samples/sec accuracy=72.000000 loss=1.134463 lr=0.000072 Epoch[193] Batch [0799]/[3760] Speed: 96.818823 samples/sec accuracy=72.019531 loss=1.132785 lr=0.000071 Epoch[193] Batch [0849]/[3760] Speed: 98.390866 samples/sec accuracy=71.944853 loss=1.135650 lr=0.000071 Epoch[193] Batch [0899]/[3760] Speed: 99.713185 samples/sec accuracy=71.861111 loss=1.137598 lr=0.000070 Epoch[193] Batch [0949]/[3760] Speed: 97.531766 samples/sec accuracy=71.845395 loss=1.138639 lr=0.000069 Epoch[193] Batch [0999]/[3760] Speed: 99.257611 samples/sec accuracy=71.926563 loss=1.136147 lr=0.000069 Epoch[193] Batch [1049]/[3760] Speed: 98.573795 samples/sec accuracy=71.938988 loss=1.134864 lr=0.000068 Epoch[193] Batch [1099]/[3760] Speed: 98.836650 samples/sec accuracy=71.901989 loss=1.135267 lr=0.000067 Epoch[193] Batch [1149]/[3760] Speed: 96.681483 samples/sec accuracy=71.895380 loss=1.136838 lr=0.000067 Epoch[193] 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accuracy=71.896780 loss=1.138033 lr=0.000060 Epoch[193] Batch [1699]/[3760] Speed: 97.429418 samples/sec accuracy=71.892463 loss=1.138262 lr=0.000059 Epoch[193] Batch [1749]/[3760] Speed: 99.002609 samples/sec accuracy=71.918750 loss=1.137184 lr=0.000059 Epoch[193] Batch [1799]/[3760] Speed: 98.406075 samples/sec accuracy=71.928819 loss=1.136410 lr=0.000058 Epoch[193] Batch [1849]/[3760] Speed: 96.910799 samples/sec accuracy=71.922297 loss=1.136623 lr=0.000058 Epoch[193] Batch [1899]/[3760] Speed: 99.464445 samples/sec accuracy=71.939967 loss=1.135796 lr=0.000057 Epoch[193] Batch [1949]/[3760] Speed: 98.186802 samples/sec accuracy=71.896635 loss=1.137207 lr=0.000056 Epoch[193] Batch [1999]/[3760] Speed: 99.198243 samples/sec accuracy=71.925000 loss=1.136442 lr=0.000056 Epoch[193] Batch [2049]/[3760] Speed: 98.095678 samples/sec accuracy=71.940549 loss=1.136627 lr=0.000055 Epoch[193] Batch [2099]/[3760] Speed: 99.487590 samples/sec accuracy=71.948661 loss=1.136518 lr=0.000054 Epoch[193] 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accuracy=71.912260 loss=1.139197 lr=0.000049 Epoch[193] Batch [2649]/[3760] Speed: 99.324085 samples/sec accuracy=71.924528 loss=1.139261 lr=0.000048 Epoch[193] Batch [2699]/[3760] Speed: 98.050385 samples/sec accuracy=71.919560 loss=1.139247 lr=0.000048 Epoch[193] Batch [2749]/[3760] Speed: 98.805197 samples/sec accuracy=71.886364 loss=1.140699 lr=0.000047 Epoch[193] Batch [2799]/[3760] Speed: 98.632090 samples/sec accuracy=71.904576 loss=1.139665 lr=0.000046 Epoch[193] Batch [2849]/[3760] Speed: 99.149178 samples/sec accuracy=71.897478 loss=1.140339 lr=0.000046 Epoch[193] Batch [2899]/[3760] Speed: 98.631245 samples/sec accuracy=71.909483 loss=1.140099 lr=0.000045 Epoch[193] Batch [2949]/[3760] Speed: 96.972764 samples/sec accuracy=71.906250 loss=1.140666 lr=0.000045 Epoch[193] Batch [2999]/[3760] Speed: 99.898569 samples/sec accuracy=71.891667 loss=1.141311 lr=0.000044 Epoch[193] Batch [3049]/[3760] Speed: 98.399935 samples/sec accuracy=71.881660 loss=1.141520 lr=0.000044 Epoch[193] Batch [3099]/[3760] Speed: 99.707492 samples/sec accuracy=71.905746 loss=1.141111 lr=0.000043 Epoch[193] Batch [3149]/[3760] Speed: 99.283882 samples/sec accuracy=71.913194 loss=1.140865 lr=0.000043 Epoch[193] Batch [3199]/[3760] Speed: 98.534799 samples/sec accuracy=71.909180 loss=1.140879 lr=0.000042 Epoch[193] Batch [3249]/[3760] Speed: 98.733306 samples/sec accuracy=71.916827 loss=1.140543 lr=0.000042 Epoch[193] Batch [3299]/[3760] Speed: 95.164425 samples/sec accuracy=71.909091 loss=1.140853 lr=0.000041 Epoch[193] Batch [3349]/[3760] Speed: 101.180173 samples/sec accuracy=71.918377 loss=1.141089 lr=0.000040 Epoch[193] Batch [3399]/[3760] Speed: 97.655688 samples/sec accuracy=71.914982 loss=1.141779 lr=0.000040 Epoch[193] Batch [3449]/[3760] Speed: 99.755128 samples/sec accuracy=71.916667 loss=1.141492 lr=0.000039 Epoch[193] Batch [3499]/[3760] Speed: 98.436902 samples/sec accuracy=71.923661 loss=1.140954 lr=0.000039 Epoch[193] Batch [3549]/[3760] Speed: 99.322173 samples/sec accuracy=71.922535 loss=1.141493 lr=0.000038 Epoch[193] Batch [3599]/[3760] Speed: 97.751569 samples/sec accuracy=71.913628 loss=1.141617 lr=0.000038 Epoch[193] Batch [3649]/[3760] Speed: 99.847182 samples/sec accuracy=71.910103 loss=1.141178 lr=0.000037 Epoch[193] Batch [3699]/[3760] Speed: 96.420663 samples/sec accuracy=71.904139 loss=1.141530 lr=0.000037 Epoch[193] Batch [3749]/[3760] Speed: 112.037406 samples/sec accuracy=71.892083 loss=1.141608 lr=0.000036 Batch [0049]/[0303]: acc-top1=64.250000 acc-top5=83.375000 Batch [0099]/[0303]: acc-top1=60.765625 acc-top5=82.812500 Batch [0149]/[0303]: acc-top1=61.906250 acc-top5=83.145833 Batch [0199]/[0303]: acc-top1=64.351562 acc-top5=84.460938 Batch [0249]/[0303]: acc-top1=63.775000 acc-top5=84.181250 Batch [0299]/[0303]: acc-top1=63.265625 acc-top5=84.182292 [Epoch 193] training: accuracy=71.891207 loss=1.141596 [Epoch 193] speed: 97 samples/sec time cost: 2643.943034 [Epoch 193] validation: acc-top1=63.216790 acc-top5=84.173886 loss=1.691403 Epoch[194] Batch [0049]/[3759] Speed: 68.104723 samples/sec accuracy=72.000000 loss=1.120715 lr=0.000036 Epoch[194] Batch [0099]/[3759] Speed: 93.560825 samples/sec accuracy=71.875000 loss=1.139522 lr=0.000035 Epoch[194] Batch [0149]/[3759] Speed: 97.382218 samples/sec accuracy=72.187500 loss=1.124474 lr=0.000035 Epoch[194] Batch [0199]/[3759] Speed: 95.695343 samples/sec accuracy=71.828125 loss=1.134904 lr=0.000034 Epoch[194] Batch [0249]/[3759] Speed: 98.463338 samples/sec accuracy=71.875000 loss=1.137324 lr=0.000034 Epoch[194] Batch [0299]/[3759] Speed: 94.604632 samples/sec accuracy=71.786458 loss=1.144757 lr=0.000033 Epoch[194] Batch [0349]/[3759] Speed: 97.901499 samples/sec accuracy=71.861607 loss=1.138914 lr=0.000033 Epoch[194] Batch [0399]/[3759] Speed: 97.383988 samples/sec accuracy=71.929688 loss=1.136664 lr=0.000033 Epoch[194] Batch [0449]/[3759] Speed: 98.622973 samples/sec accuracy=71.947917 loss=1.136126 lr=0.000032 Epoch[194] Batch [0499]/[3759] Speed: 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lr=0.000028 Epoch[194] Batch [0999]/[3759] Speed: 96.604605 samples/sec accuracy=71.821875 loss=1.143638 lr=0.000027 Epoch[194] Batch [1049]/[3759] Speed: 97.942176 samples/sec accuracy=71.828869 loss=1.144053 lr=0.000027 Epoch[194] Batch [1099]/[3759] Speed: 97.449135 samples/sec accuracy=71.806818 loss=1.143956 lr=0.000026 Epoch[194] Batch [1149]/[3759] Speed: 98.349215 samples/sec accuracy=71.862772 loss=1.141727 lr=0.000026 Epoch[194] Batch [1199]/[3759] Speed: 97.950169 samples/sec accuracy=71.888021 loss=1.140772 lr=0.000025 Epoch[194] Batch [1249]/[3759] Speed: 98.776819 samples/sec accuracy=71.946250 loss=1.139956 lr=0.000025 Epoch[194] Batch [1299]/[3759] Speed: 98.224313 samples/sec accuracy=71.951923 loss=1.139551 lr=0.000025 Epoch[194] Batch [1349]/[3759] Speed: 94.591634 samples/sec accuracy=71.934028 loss=1.140159 lr=0.000024 Epoch[194] Batch [1399]/[3759] Speed: 100.107554 samples/sec accuracy=71.962054 loss=1.139947 lr=0.000024 Epoch[194] Batch [1449]/[3759] Speed: 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lr=0.000020 Epoch[194] Batch [1949]/[3759] Speed: 97.467966 samples/sec accuracy=72.038462 loss=1.138039 lr=0.000020 Epoch[194] Batch [1999]/[3759] Speed: 98.573918 samples/sec accuracy=72.033594 loss=1.138358 lr=0.000019 Epoch[194] Batch [2049]/[3759] Speed: 98.029498 samples/sec accuracy=72.000762 loss=1.138926 lr=0.000019 Epoch[194] Batch [2099]/[3759] Speed: 96.717977 samples/sec accuracy=72.034226 loss=1.138464 lr=0.000019 Epoch[194] Batch [2149]/[3759] Speed: 97.379156 samples/sec accuracy=72.018169 loss=1.138762 lr=0.000018 Epoch[194] Batch [2199]/[3759] Speed: 98.572725 samples/sec accuracy=72.012074 loss=1.138701 lr=0.000018 Epoch[194] Batch [2249]/[3759] Speed: 98.135742 samples/sec accuracy=72.012500 loss=1.138867 lr=0.000018 Epoch[194] Batch [2299]/[3759] Speed: 97.638626 samples/sec accuracy=71.999321 loss=1.139466 lr=0.000017 Epoch[194] Batch [2349]/[3759] Speed: 98.018362 samples/sec accuracy=72.003324 loss=1.139312 lr=0.000017 Epoch[194] Batch [2399]/[3759] Speed: 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lr=0.000014 Epoch[194] Batch [2899]/[3759] Speed: 97.850879 samples/sec accuracy=71.997306 loss=1.140343 lr=0.000013 Epoch[194] Batch [2949]/[3759] Speed: 97.291623 samples/sec accuracy=71.996292 loss=1.140200 lr=0.000013 Epoch[194] Batch [2999]/[3759] Speed: 98.556469 samples/sec accuracy=72.015104 loss=1.139822 lr=0.000013 Epoch[194] Batch [3049]/[3759] Speed: 97.168459 samples/sec accuracy=72.005635 loss=1.140261 lr=0.000013 Epoch[194] Batch [3099]/[3759] Speed: 98.674627 samples/sec accuracy=72.016633 loss=1.139900 lr=0.000012 Epoch[194] Batch [3149]/[3759] Speed: 98.281841 samples/sec accuracy=72.013889 loss=1.140182 lr=0.000012 Epoch[194] Batch [3199]/[3759] Speed: 97.587091 samples/sec accuracy=72.007812 loss=1.140220 lr=0.000012 Epoch[194] Batch [3249]/[3759] Speed: 98.194504 samples/sec accuracy=71.996635 loss=1.140234 lr=0.000011 Epoch[194] Batch [3299]/[3759] Speed: 98.730741 samples/sec accuracy=71.982955 loss=1.140710 lr=0.000011 Epoch[194] Batch [3349]/[3759] Speed: 98.201948 samples/sec accuracy=71.990205 loss=1.140517 lr=0.000011 Epoch[194] Batch [3399]/[3759] Speed: 98.283157 samples/sec accuracy=71.983915 loss=1.140968 lr=0.000011 Epoch[194] Batch [3449]/[3759] Speed: 98.801229 samples/sec accuracy=71.984149 loss=1.140957 lr=0.000010 Epoch[194] Batch [3499]/[3759] Speed: 97.570052 samples/sec accuracy=71.980357 loss=1.141299 lr=0.000010 Epoch[194] Batch [3549]/[3759] Speed: 96.491441 samples/sec accuracy=71.971391 loss=1.141867 lr=0.000010 Epoch[194] Batch [3599]/[3759] Speed: 97.002647 samples/sec accuracy=71.967448 loss=1.141792 lr=0.000010 Epoch[194] Batch [3649]/[3759] Speed: 99.301288 samples/sec accuracy=71.952483 loss=1.142831 lr=0.000009 Epoch[194] Batch [3699]/[3759] Speed: 97.791347 samples/sec accuracy=71.952703 loss=1.142481 lr=0.000009 Epoch[194] Batch [3749]/[3759] Speed: 111.307221 samples/sec accuracy=71.950417 loss=1.142441 lr=0.000009 Batch [0049]/[0303]: acc-top1=64.531250 acc-top5=83.031250 Batch [0099]/[0303]: acc-top1=60.921875 acc-top5=82.500000 Batch [0149]/[0303]: acc-top1=61.885417 acc-top5=82.989583 Batch [0199]/[0303]: acc-top1=64.390625 acc-top5=84.273438 Batch [0249]/[0303]: acc-top1=63.868750 acc-top5=83.981250 Batch [0299]/[0303]: acc-top1=63.286458 acc-top5=83.947917 [Epoch 194] training: accuracy=71.945248 loss=1.142657 [Epoch 194] speed: 97 samples/sec time cost: 2656.196384 [Epoch 194] validation: acc-top1=63.227104 acc-top5=83.952145 loss=1.700449 Epoch[195] Batch [0049]/[3760] Speed: 68.259755 samples/sec accuracy=72.375000 loss=1.127568 lr=0.000009 Epoch[195] Batch [0099]/[3760] Speed: 94.598828 samples/sec accuracy=72.046875 loss=1.127667 lr=0.000008 Epoch[195] Batch [0149]/[3760] Speed: 95.971027 samples/sec accuracy=71.718750 loss=1.138786 lr=0.000008 Epoch[195] Batch [0199]/[3760] Speed: 95.994185 samples/sec accuracy=71.796875 loss=1.130241 lr=0.000008 Epoch[195] Batch [0249]/[3760] Speed: 99.708251 samples/sec accuracy=71.943750 loss=1.129130 lr=0.000008 Epoch[195] 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accuracy=72.141667 loss=1.128879 lr=0.000006 Epoch[195] Batch [0799]/[3760] Speed: 99.546917 samples/sec accuracy=72.156250 loss=1.127933 lr=0.000005 Epoch[195] Batch [0849]/[3760] Speed: 97.295620 samples/sec accuracy=72.134191 loss=1.128365 lr=0.000005 Epoch[195] Batch [0899]/[3760] Speed: 97.069043 samples/sec accuracy=72.156250 loss=1.127512 lr=0.000005 Epoch[195] Batch [0949]/[3760] Speed: 97.919209 samples/sec accuracy=72.190789 loss=1.127488 lr=0.000005 Epoch[195] Batch [0999]/[3760] Speed: 99.403912 samples/sec accuracy=72.240625 loss=1.126472 lr=0.000005 Epoch[195] Batch [1049]/[3760] Speed: 98.772255 samples/sec accuracy=72.232143 loss=1.126755 lr=0.000004 Epoch[195] Batch [1099]/[3760] Speed: 98.420838 samples/sec accuracy=72.184659 loss=1.128498 lr=0.000004 Epoch[195] Batch [1149]/[3760] Speed: 98.667404 samples/sec accuracy=72.130435 loss=1.130505 lr=0.000004 Epoch[195] Batch [1199]/[3760] Speed: 98.619662 samples/sec accuracy=72.128906 loss=1.131648 lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 96.712275 samples/sec accuracy=72.111250 loss=1.132605 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 98.039979 samples/sec accuracy=72.109375 loss=1.133230 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 98.982323 samples/sec accuracy=72.103009 loss=1.133419 lr=0.000003 Epoch[195] Batch [1399]/[3760] Speed: 98.027892 samples/sec accuracy=72.110491 loss=1.133179 lr=0.000003 Epoch[195] Batch [1449]/[3760] Speed: 100.055514 samples/sec accuracy=72.128233 loss=1.132259 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 98.157955 samples/sec accuracy=72.121875 loss=1.132041 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 98.655257 samples/sec accuracy=72.162298 loss=1.130590 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 97.583538 samples/sec accuracy=72.137695 loss=1.130883 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 97.513203 samples/sec accuracy=72.120265 loss=1.132459 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 98.518240 samples/sec accuracy=72.116728 loss=1.132447 lr=0.000002 Epoch[195] Batch [1749]/[3760] Speed: 98.209920 samples/sec accuracy=72.098214 loss=1.132725 lr=0.000002 Epoch[195] Batch [1799]/[3760] Speed: 99.642176 samples/sec accuracy=72.137153 loss=1.131931 lr=0.000002 Epoch[195] Batch [1849]/[3760] Speed: 97.972555 samples/sec accuracy=72.113176 loss=1.132940 lr=0.000002 Epoch[195] Batch [1899]/[3760] Speed: 99.042423 samples/sec accuracy=72.085526 loss=1.133842 lr=0.000002 Epoch[195] Batch [1949]/[3760] Speed: 97.515948 samples/sec accuracy=72.081731 loss=1.134016 lr=0.000002 Epoch[195] Batch [1999]/[3760] Speed: 98.140379 samples/sec accuracy=72.070312 loss=1.135007 lr=0.000002 Epoch[195] Batch [2049]/[3760] Speed: 96.786791 samples/sec accuracy=72.088415 loss=1.135380 lr=0.000002 Epoch[195] Batch [2099]/[3760] Speed: 99.816017 samples/sec accuracy=72.087054 loss=1.134466 lr=0.000002 Epoch[195] Batch [2149]/[3760] Speed: 97.906641 samples/sec accuracy=72.095203 loss=1.134450 lr=0.000001 Epoch[195] Batch [2199]/[3760] Speed: 99.281975 samples/sec accuracy=72.085938 loss=1.134654 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 97.723050 samples/sec accuracy=72.065278 loss=1.136181 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 98.646476 samples/sec accuracy=72.058424 loss=1.136127 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 95.883914 samples/sec accuracy=72.052527 loss=1.136662 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 98.353477 samples/sec accuracy=72.062500 loss=1.135596 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 98.864537 samples/sec accuracy=72.047832 loss=1.135701 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 98.233568 samples/sec accuracy=72.056250 loss=1.135700 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 98.899216 samples/sec accuracy=72.056985 loss=1.136278 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 99.083236 samples/sec accuracy=72.063101 loss=1.135813 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 99.036438 samples/sec accuracy=72.047759 loss=1.136276 lr=0.000001 Epoch[195] Batch [2699]/[3760] Speed: 98.726342 samples/sec accuracy=72.048611 loss=1.136291 lr=0.000001 Epoch[195] Batch [2749]/[3760] Speed: 98.130579 samples/sec accuracy=72.064205 loss=1.136373 lr=0.000001 Epoch[195] Batch [2799]/[3760] Speed: 98.374676 samples/sec accuracy=72.056362 loss=1.136725 lr=0.000000 Epoch[195] Batch [2849]/[3760] Speed: 99.246198 samples/sec accuracy=72.071820 loss=1.135843 lr=0.000000 Epoch[195] Batch [2899]/[3760] Speed: 98.142587 samples/sec accuracy=72.092672 loss=1.135172 lr=0.000000 Epoch[195] Batch [2949]/[3760] Speed: 98.921876 samples/sec accuracy=72.096398 loss=1.134833 lr=0.000000 Epoch[195] Batch [2999]/[3760] Speed: 98.710220 samples/sec accuracy=72.111979 loss=1.134281 lr=0.000000 Epoch[195] Batch [3049]/[3760] Speed: 98.736820 samples/sec accuracy=72.107070 loss=1.133970 lr=0.000000 Epoch[195] Batch [3099]/[3760] Speed: 97.049578 samples/sec accuracy=72.106855 loss=1.134068 lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 98.923521 samples/sec accuracy=72.113591 loss=1.133793 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 99.008876 samples/sec accuracy=72.127441 loss=1.133996 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 98.612744 samples/sec accuracy=72.101923 loss=1.134921 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 99.497915 samples/sec accuracy=72.107008 loss=1.135223 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 98.884682 samples/sec accuracy=72.097015 loss=1.135545 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 99.275245 samples/sec accuracy=72.093290 loss=1.135921 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 96.449938 samples/sec accuracy=72.089221 loss=1.136682 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 98.784995 samples/sec accuracy=72.079018 loss=1.136969 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 98.843746 samples/sec accuracy=72.078345 loss=1.137228 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 99.100181 samples/sec accuracy=72.081597 loss=1.137191 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 98.180108 samples/sec accuracy=72.075771 loss=1.137368 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 99.386807 samples/sec accuracy=72.087838 loss=1.137001 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 113.018847 samples/sec accuracy=72.088750 loss=1.136717 lr=0.000000 Batch [0049]/[0303]: acc-top1=64.375000 acc-top5=83.375000 Batch [0099]/[0303]: acc-top1=61.109375 acc-top5=82.796875 Batch [0149]/[0303]: acc-top1=62.218750 acc-top5=83.177083 Batch [0199]/[0303]: acc-top1=64.632812 acc-top5=84.460938 Batch [0249]/[0303]: acc-top1=64.068750 acc-top5=84.193750 Batch [0299]/[0303]: acc-top1=63.453125 acc-top5=84.182292 [Epoch 195] training: accuracy=72.087766 loss=1.136676 [Epoch 195] speed: 97 samples/sec time cost: 2644.728374 [Epoch 195] validation: acc-top1=63.392120 acc-top5=84.204827 loss=1.690835