Namespace(accumulate=1, batch_norm=False, batch_size=16, clip_grad=40, crop_ratio=0.875, data_dir='/home/ubuntu/third_disk/data/somethingsomethingv2/20bn-something-something-v2-frames', dataset='somethingsomethingv2', dtype='float32', eval=False, hard_weight=0.5, input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=20, logging_file='i3d_resnet50_v1_sthsthv2_b16_g8_inflate311_f16s2_step_run1.txt', lr=0.01, lr_decay=0.1, lr_decay_epoch='40,80,100', lr_decay_period=0, lr_mode='step', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='i3d_resnet50_v1_sthsthv2', momentum=0.9, new_height=256, new_length=16, new_step=2, new_width=340, no_wd=False, num_classes=174, num_epochs=100, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/somethingsomethingv2/i3d_resnet50_v1_sthsthv2_b16_g8_inflate311_f16s2_step_run1', save_frequency=5, scale_ratios='1.0,0.8', teacher=None, temperature=20, train_list='/home/ubuntu/third_disk/data/somethingsomethingv2/settings/train_videofolder.txt', use_amp=False, use_decord=False, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='~/.mxnet/datasets/ucf101/rawframes', val_list='/home/ubuntu/third_disk/data/somethingsomethingv2/settings/val_videofolder.txt', video_loader=False, warmup_epochs=0, warmup_lr=0.0, wd=0.0001) Total batch size is set to 128 on 8 GPUs I3D_ResNetV1( (first_stage): HybridSequential( (0): Conv3D(3 -> 64, kernel_size=(5, 7, 7), stride=(2, 2, 2), padding=(2, 3, 3), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): MaxPool3D(size=(1, 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) (res_layers): HybridSequential( (0): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (1): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, 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=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (3): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, 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=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) ) (2): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (3): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (4): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (5): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) ) (3): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 512, 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=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(1024 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(1024 -> 2048, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(2048 -> 512, 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=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(2048 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) ) ) (st_avg): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (head): HybridSequential( (0): Dropout(p = 0.5, axes=()) (1): Dense(2048 -> 174, linear) ) (fc): Dense(2048 -> 174, linear) ) Load 168913 training samples and 24777 validation samples. Namespace(accumulate=1, batch_norm=False, batch_size=16, clip_grad=40, crop_ratio=0.875, data_dir='/home/ubuntu/third_disk/data/somethingsomethingv2/20bn-something-something-v2-frames', dataset='somethingsomethingv2', dtype='float32', eval=False, hard_weight=0.5, input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=20, logging_file='i3d_resnet50_v1_sthsthv2_b16_g8_inflate311_f16s2_step_run1.txt', lr=0.01, lr_decay=0.1, lr_decay_epoch='40,80,100', lr_decay_period=0, lr_mode='step', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='i3d_resnet50_v1_sthsthv2', momentum=0.9, new_height=256, new_length=16, new_step=2, new_width=340, no_wd=False, num_classes=174, num_epochs=100, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/somethingsomethingv2/i3d_resnet50_v1_sthsthv2_b16_g8_inflate311_f16s2_step_run1', save_frequency=5, scale_ratios='1.0,0.8', teacher=None, temperature=20, train_list='/home/ubuntu/third_disk/data/somethingsomethingv2/settings/train_videofolder.txt', use_amp=False, use_decord=False, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='~/.mxnet/datasets/ucf101/rawframes', val_list='/home/ubuntu/third_disk/data/somethingsomethingv2/settings/val_videofolder.txt', video_loader=False, warmup_epochs=0, warmup_lr=0.0, wd=0.0001) Total batch size is set to 128 on 8 GPUs I3D_ResNetV1( (first_stage): HybridSequential( (0): Conv3D(3 -> 64, kernel_size=(5, 7, 7), stride=(2, 2, 2), padding=(2, 3, 3), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): MaxPool3D(size=(1, 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) (res_layers): HybridSequential( (0): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) (3): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (5): Activation(relu) (6): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (1): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(256 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, 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=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (3): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 128, 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=128) (2): Activation(relu) (3): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (5): Activation(relu) (6): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) ) (2): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(512 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): 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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(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) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (3): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (4): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (5): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 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) (2): Activation(relu) (3): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (5): Activation(relu) (6): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) ) (3): HybridSequential( (0): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(1024 -> 512, 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=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(1024 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(1024 -> 2048, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) ) (1): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (2): Bottleneck( (bottleneck): HybridSequential( (0): Conv3D(2048 -> 512, 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=512) (2): Activation(relu) (3): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (4): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (5): Activation(relu) (6): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (7): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(2048 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) ) ) (st_avg): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (head): HybridSequential( (0): Dropout(p = 0.5, axes=()) (1): Dense(2048 -> 174, linear) ) (fc): Dense(2048 -> 174, linear) ) Load 168913 training samples and 24777 validation samples. 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accuracy=13.094460 lr=0.010000 Epoch[000] Batch [1119]/[1319] Speed: 173.175758 samples/sec accuracy=13.247070 lr=0.010000 Epoch[000] Batch [1139]/[1319] Speed: 196.969146 samples/sec accuracy=13.420367 lr=0.010000 Epoch[000] Batch [1159]/[1319] Speed: 200.011509 samples/sec accuracy=13.570851 lr=0.010000 Epoch[000] Batch [1179]/[1319] Speed: 166.310617 samples/sec accuracy=13.730800 lr=0.010000 Epoch[000] Batch [1199]/[1319] Speed: 257.643757 samples/sec accuracy=13.878906 lr=0.010000 Epoch[000] Batch [1219]/[1319] Speed: 168.266899 samples/sec accuracy=14.017034 lr=0.010000 Epoch[000] Batch [1239]/[1319] Speed: 195.576255 samples/sec accuracy=14.181578 lr=0.010000 Epoch[000] Batch [1259]/[1319] Speed: 206.591445 samples/sec accuracy=14.319816 lr=0.010000 Epoch[000] Batch [1279]/[1319] Speed: 167.765677 samples/sec accuracy=14.459839 lr=0.010000 Epoch[000] Batch [1299]/[1319] Speed: 268.330861 samples/sec accuracy=14.612380 lr=0.010000 Batch [0019]/[0193]: evaluated Batch 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Epoch[001] Batch [1179]/[1320] Speed: 225.830922 samples/sec accuracy=28.568591 lr=0.010000 Epoch[001] Batch [1199]/[1320] Speed: 191.475485 samples/sec accuracy=28.630208 lr=0.010000 Epoch[001] Batch [1219]/[1320] Speed: 191.178799 samples/sec accuracy=28.688525 lr=0.010000 Epoch[001] Batch [1239]/[1320] Speed: 214.196671 samples/sec accuracy=28.733619 lr=0.010000 Epoch[001] Batch [1259]/[1320] Speed: 182.340255 samples/sec accuracy=28.777282 lr=0.010000 Epoch[001] Batch [1279]/[1320] Speed: 241.171034 samples/sec accuracy=28.841553 lr=0.010000 Epoch[001] Batch [1299]/[1320] Speed: 184.594623 samples/sec accuracy=28.905048 lr=0.010000 Epoch[001] Batch [1319]/[1320] Speed: 285.794568 samples/sec accuracy=28.951231 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 001] training: accuracy=28.951231 [Epoch 001] speed: 198 samples/sec time cost: 963.978492 [Epoch 001] validation: acc-top1=27.048251 acc-top5=56.003076 wrote 2 events to disk Epoch[002] Batch [0019]/[1319] Speed: 100.757218 samples/sec accuracy=34.140625 lr=0.010000 Epoch[002] Batch [0039]/[1319] Speed: 191.063326 samples/sec accuracy=34.140625 lr=0.010000 Epoch[002] Batch [0059]/[1319] Speed: 241.925109 samples/sec accuracy=33.736979 lr=0.010000 Epoch[002] Batch [0079]/[1319] Speed: 185.078344 samples/sec accuracy=34.121094 lr=0.010000 Epoch[002] Batch [0099]/[1319] Speed: 235.601982 samples/sec accuracy=34.273438 lr=0.010000 Epoch[002] Batch [0119]/[1319] Speed: 187.706066 samples/sec accuracy=34.029948 lr=0.010000 Epoch[002] Batch [0139]/[1319] Speed: 211.892758 samples/sec accuracy=33.816964 lr=0.010000 Epoch[002] Batch [0159]/[1319] Speed: 200.286169 samples/sec accuracy=34.033203 lr=0.010000 Epoch[002] Batch [0179]/[1319] Speed: 212.612144 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Epoch[002] Batch [0839]/[1319] Speed: 181.598684 samples/sec accuracy=35.081845 lr=0.010000 Epoch[002] Batch [0859]/[1319] Speed: 248.544041 samples/sec accuracy=35.109920 lr=0.010000 Epoch[002] Batch [0879]/[1319] Speed: 171.356808 samples/sec accuracy=35.143821 lr=0.010000 Epoch[002] Batch [0899]/[1319] Speed: 246.894742 samples/sec accuracy=35.159722 lr=0.010000 Epoch[002] Batch [0919]/[1319] Speed: 188.547323 samples/sec accuracy=35.178329 lr=0.010000 Epoch[002] Batch [0939]/[1319] Speed: 218.859152 samples/sec accuracy=35.209441 lr=0.010000 Epoch[002] Batch [0959]/[1319] Speed: 195.117070 samples/sec accuracy=35.231934 lr=0.010000 Epoch[002] Batch [0979]/[1319] Speed: 176.210015 samples/sec accuracy=35.279018 lr=0.010000 Epoch[002] Batch [0999]/[1319] Speed: 254.958829 samples/sec accuracy=35.300000 lr=0.010000 Epoch[002] Batch [1019]/[1319] Speed: 188.541569 samples/sec accuracy=35.344669 lr=0.010000 Epoch[002] Batch [1039]/[1319] Speed: 224.369964 samples/sec accuracy=35.374850 lr=0.010000 Epoch[002] Batch [1059]/[1319] Speed: 192.253570 samples/sec accuracy=35.409788 lr=0.010000 Epoch[002] Batch [1079]/[1319] Speed: 175.992359 samples/sec accuracy=35.405093 lr=0.010000 Epoch[002] Batch [1099]/[1319] Speed: 258.228429 samples/sec accuracy=35.444602 lr=0.010000 Epoch[002] Batch [1119]/[1319] Speed: 178.827008 samples/sec accuracy=35.472935 lr=0.010000 Epoch[002] Batch [1139]/[1319] Speed: 246.271388 samples/sec accuracy=35.488624 lr=0.010000 Epoch[002] Batch [1159]/[1319] Speed: 186.939984 samples/sec accuracy=35.497710 lr=0.010000 Epoch[002] Batch [1179]/[1319] Speed: 227.598108 samples/sec accuracy=35.528999 lr=0.010000 Epoch[002] Batch [1199]/[1319] Speed: 199.790661 samples/sec accuracy=35.554036 lr=0.010000 Epoch[002] Batch [1219]/[1319] Speed: 177.277936 samples/sec accuracy=35.591060 lr=0.010000 Epoch[002] Batch [1239]/[1319] Speed: 226.141038 samples/sec accuracy=35.608619 lr=0.010000 Epoch[002] Batch [1259]/[1319] Speed: 197.445366 samples/sec accuracy=35.656002 lr=0.010000 Epoch[002] Batch [1279]/[1319] Speed: 222.031183 samples/sec accuracy=35.702515 lr=0.010000 Epoch[002] Batch [1299]/[1319] Speed: 212.333748 samples/sec accuracy=35.720553 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 002] training: accuracy=35.750924 [Epoch 002] speed: 201 samples/sec time cost: 944.393291 [Epoch 002] validation: acc-top1=32.427947 acc-top5=62.362370 wrote 2 events to disk Epoch[003] Batch [0019]/[1320] Speed: 99.624962 samples/sec accuracy=38.632812 lr=0.010000 Epoch[003] Batch [0039]/[1320] Speed: 203.957221 samples/sec accuracy=39.062500 lr=0.010000 Epoch[003] Batch [0059]/[1320] Speed: 221.591697 samples/sec accuracy=39.739583 lr=0.010000 Epoch[003] Batch [0079]/[1320] Speed: 206.695018 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lr=0.010000 Epoch[003] Batch [0959]/[1320] Speed: 193.535657 samples/sec accuracy=39.969076 lr=0.010000 Epoch[003] Batch [0979]/[1320] Speed: 243.411638 samples/sec accuracy=39.968909 lr=0.010000 Epoch[003] Batch [0999]/[1320] Speed: 175.306164 samples/sec accuracy=39.982031 lr=0.010000 Epoch[003] Batch [1019]/[1320] Speed: 214.268087 samples/sec accuracy=40.019914 lr=0.010000 Epoch[003] Batch [1039]/[1320] Speed: 211.111036 samples/sec accuracy=40.055589 lr=0.010000 Epoch[003] Batch [1059]/[1320] Speed: 201.180416 samples/sec accuracy=40.062647 lr=0.010000 Epoch[003] Batch [1079]/[1320] Speed: 202.821932 samples/sec accuracy=40.088976 lr=0.010000 Epoch[003] Batch [1099]/[1320] Speed: 209.455586 samples/sec accuracy=40.122869 lr=0.010000 Epoch[003] Batch [1119]/[1320] Speed: 188.707045 samples/sec accuracy=40.189732 lr=0.010000 Epoch[003] Batch [1139]/[1320] Speed: 227.472301 samples/sec accuracy=40.197368 lr=0.010000 Epoch[003] Batch [1159]/[1320] Speed: 191.770449 samples/sec accuracy=40.245824 lr=0.010000 Epoch[003] Batch [1179]/[1320] Speed: 231.214430 samples/sec accuracy=40.235699 lr=0.010000 Epoch[003] Batch [1199]/[1320] Speed: 183.822397 samples/sec accuracy=40.216146 lr=0.010000 Epoch[003] Batch [1219]/[1320] Speed: 243.180466 samples/sec accuracy=40.265113 lr=0.010000 Epoch[003] Batch [1239]/[1320] Speed: 192.086138 samples/sec accuracy=40.279738 lr=0.010000 Epoch[003] Batch [1259]/[1320] Speed: 223.412340 samples/sec accuracy=40.301959 lr=0.010000 Epoch[003] Batch [1279]/[1320] Speed: 201.916461 samples/sec accuracy=40.326538 lr=0.010000 Epoch[003] Batch [1299]/[1320] Speed: 211.469292 samples/sec accuracy=40.360577 lr=0.010000 Epoch[003] Batch [1319]/[1320] Speed: 294.721481 samples/sec accuracy=40.374645 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 003] training: accuracy=40.374645 [Epoch 003] speed: 203 samples/sec time cost: 938.521154 [Epoch 003] validation: acc-top1=34.018782 acc-top5=64.463245 wrote 2 events to disk Epoch[004] Batch [0019]/[1320] Speed: 101.162770 samples/sec accuracy=44.179688 lr=0.010000 Epoch[004] Batch [0039]/[1320] Speed: 196.121043 samples/sec accuracy=43.925781 lr=0.010000 Epoch[004] Batch [0059]/[1320] Speed: 221.893376 samples/sec accuracy=43.997396 lr=0.010000 Epoch[004] Batch [0079]/[1320] Speed: 217.146391 samples/sec accuracy=43.798828 lr=0.010000 Epoch[004] Batch [0099]/[1320] Speed: 192.524865 samples/sec accuracy=43.445312 lr=0.010000 Epoch[004] Batch [0119]/[1320] Speed: 235.852545 samples/sec accuracy=43.118490 lr=0.010000 Epoch[004] Batch [0139]/[1320] Speed: 191.740241 samples/sec accuracy=43.069196 lr=0.010000 Epoch[004] Batch [0159]/[1320] Speed: 202.491547 samples/sec accuracy=43.115234 lr=0.010000 Epoch[004] Batch 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accuracy=43.559451 lr=0.010000 Epoch[004] Batch [0839]/[1320] Speed: 215.455939 samples/sec accuracy=43.557478 lr=0.010000 Epoch[004] Batch [0859]/[1320] Speed: 190.858995 samples/sec accuracy=43.555596 lr=0.010000 Epoch[004] Batch [0879]/[1320] Speed: 245.015167 samples/sec accuracy=43.559126 lr=0.010000 Epoch[004] Batch [0899]/[1320] Speed: 189.393884 samples/sec accuracy=43.527778 lr=0.010000 Epoch[004] Batch [0919]/[1320] Speed: 218.130518 samples/sec accuracy=43.532609 lr=0.010000 Epoch[004] Batch [0939]/[1320] Speed: 193.741340 samples/sec accuracy=43.538896 lr=0.010000 Epoch[004] Batch [0959]/[1320] Speed: 232.891255 samples/sec accuracy=43.517253 lr=0.010000 Epoch[004] Batch [0979]/[1320] Speed: 193.738040 samples/sec accuracy=43.498884 lr=0.010000 Epoch[004] Batch [0999]/[1320] Speed: 227.568095 samples/sec accuracy=43.518750 lr=0.010000 Epoch[004] Batch [1019]/[1320] Speed: 194.162700 samples/sec accuracy=43.491115 lr=0.010000 Epoch[004] Batch [1039]/[1320] Speed: 213.390544 samples/sec accuracy=43.488582 lr=0.010000 Epoch[004] Batch [1059]/[1320] Speed: 186.420897 samples/sec accuracy=43.508255 lr=0.010000 Epoch[004] Batch [1079]/[1320] Speed: 241.223649 samples/sec accuracy=43.517072 lr=0.010000 Epoch[004] Batch [1099]/[1320] Speed: 190.586025 samples/sec accuracy=43.520597 lr=0.010000 Epoch[004] Batch [1119]/[1320] Speed: 232.384292 samples/sec accuracy=43.556780 lr=0.010000 Epoch[004] Batch [1139]/[1320] Speed: 192.031235 samples/sec accuracy=43.564967 lr=0.010000 Epoch[004] Batch [1159]/[1320] Speed: 207.885757 samples/sec accuracy=43.599811 lr=0.010000 Epoch[004] Batch [1179]/[1320] Speed: 215.326184 samples/sec accuracy=43.634799 lr=0.010000 Epoch[004] Batch [1199]/[1320] Speed: 183.837979 samples/sec accuracy=43.642578 lr=0.010000 Epoch[004] Batch [1219]/[1320] Speed: 247.529264 samples/sec accuracy=43.644339 lr=0.010000 Epoch[004] Batch [1239]/[1320] Speed: 184.112466 samples/sec accuracy=43.671245 lr=0.010000 Epoch[004] Batch [1259]/[1320] Speed: 236.805808 samples/sec accuracy=43.688616 lr=0.010000 Epoch[004] Batch [1279]/[1320] Speed: 192.718086 samples/sec accuracy=43.698730 lr=0.010000 Epoch[004] Batch [1299]/[1320] Speed: 210.160445 samples/sec accuracy=43.707332 lr=0.010000 Epoch[004] Batch [1319]/[1320] Speed: 305.746983 samples/sec accuracy=43.719815 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 004] training: accuracy=43.719815 [Epoch 004] speed: 205 samples/sec time cost: 932.928787 [Epoch 004] validation: acc-top1=36.168232 acc-top5=67.163212 wrote 2 events to disk Epoch[005] Batch [0019]/[1319] Speed: 104.191884 samples/sec accuracy=46.015625 lr=0.010000 Epoch[005] Batch [0039]/[1319] Speed: 203.413806 samples/sec accuracy=45.800781 lr=0.010000 Epoch[005] Batch 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Epoch[005] Batch [0279]/[1319] Speed: 219.746351 samples/sec accuracy=45.901228 lr=0.010000 Epoch[005] Batch [0299]/[1319] Speed: 188.566919 samples/sec accuracy=45.804688 lr=0.010000 Epoch[005] Batch [0319]/[1319] Speed: 215.489208 samples/sec accuracy=45.854492 lr=0.010000 Epoch[005] Batch [0339]/[1319] Speed: 229.501963 samples/sec accuracy=45.739890 lr=0.010000 Epoch[005] Batch [0359]/[1319] Speed: 194.944170 samples/sec accuracy=45.835503 lr=0.010000 Epoch[005] Batch [0379]/[1319] Speed: 218.208111 samples/sec accuracy=45.958059 lr=0.010000 Epoch[005] Batch [0399]/[1319] Speed: 205.624080 samples/sec accuracy=45.951172 lr=0.010000 Epoch[005] Batch [0419]/[1319] Speed: 207.856098 samples/sec accuracy=45.902158 lr=0.010000 Epoch[005] Batch [0439]/[1319] Speed: 213.585380 samples/sec accuracy=45.887784 lr=0.010000 Epoch[005] Batch [0459]/[1319] Speed: 206.452076 samples/sec accuracy=45.940897 lr=0.010000 Epoch[005] Batch [0479]/[1319] Speed: 223.828463 samples/sec accuracy=45.968424 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accuracy=45.946429 lr=0.010000 Epoch[005] Batch [0719]/[1319] Speed: 202.713771 samples/sec accuracy=45.910373 lr=0.010000 Epoch[005] Batch [0739]/[1319] Speed: 211.063322 samples/sec accuracy=45.972340 lr=0.010000 Epoch[005] Batch [0759]/[1319] Speed: 204.360644 samples/sec accuracy=45.966283 lr=0.010000 Epoch[005] Batch [0779]/[1319] Speed: 202.232049 samples/sec accuracy=45.965545 lr=0.010000 Epoch[005] Batch [0799]/[1319] Speed: 220.447402 samples/sec accuracy=45.995117 lr=0.010000 Epoch[005] Batch [0819]/[1319] Speed: 195.933630 samples/sec accuracy=45.969893 lr=0.010000 Epoch[005] Batch [0839]/[1319] Speed: 237.347408 samples/sec accuracy=45.956101 lr=0.010000 Epoch[005] Batch [0859]/[1319] Speed: 188.901927 samples/sec accuracy=45.972020 lr=0.010000 Epoch[005] Batch [0879]/[1319] Speed: 208.632613 samples/sec accuracy=45.930398 lr=0.010000 Epoch[005] Batch [0899]/[1319] Speed: 219.771079 samples/sec accuracy=45.914062 lr=0.010000 Epoch[005] Batch [0919]/[1319] Speed: 211.148876 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evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 005] training: accuracy=46.187334 [Epoch 005] speed: 206 samples/sec time cost: 926.251397 [Epoch 005] validation: acc-top1=37.993847 acc-top5=69.377429 wrote 2 events to disk Epoch[006] Batch [0019]/[1320] Speed: 103.326779 samples/sec accuracy=48.281250 lr=0.010000 Epoch[006] Batch [0039]/[1320] Speed: 198.242152 samples/sec accuracy=48.535156 lr=0.010000 Epoch[006] Batch [0059]/[1320] Speed: 232.222936 samples/sec accuracy=48.619792 lr=0.010000 Epoch[006] Batch [0079]/[1320] Speed: 207.412207 samples/sec accuracy=48.740234 lr=0.010000 Epoch[006] Batch [0099]/[1320] Speed: 202.490959 samples/sec accuracy=48.914062 lr=0.010000 Epoch[006] Batch [0119]/[1320] Speed: 212.820007 samples/sec accuracy=49.010417 lr=0.010000 Epoch[006] Batch [0139]/[1320] Speed: 216.556289 samples/sec accuracy=48.956473 lr=0.010000 Epoch[006] Batch [0159]/[1320] Speed: 214.409358 samples/sec accuracy=48.999023 lr=0.010000 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accuracy=48.626302 lr=0.010000 Epoch[006] Batch [0619]/[1320] Speed: 189.497668 samples/sec accuracy=48.566028 lr=0.010000 Epoch[006] Batch [0639]/[1320] Speed: 244.756261 samples/sec accuracy=48.560791 lr=0.010000 Epoch[006] Batch [0659]/[1320] Speed: 193.807213 samples/sec accuracy=48.589015 lr=0.010000 Epoch[006] Batch [0679]/[1320] Speed: 231.289690 samples/sec accuracy=48.553539 lr=0.010000 Epoch[006] Batch [0699]/[1320] Speed: 188.902006 samples/sec accuracy=48.562500 lr=0.010000 Epoch[006] Batch [0719]/[1320] Speed: 225.866674 samples/sec accuracy=48.499349 lr=0.010000 Epoch[006] Batch [0739]/[1320] Speed: 205.636095 samples/sec accuracy=48.491343 lr=0.010000 Epoch[006] Batch [0759]/[1320] Speed: 217.981864 samples/sec accuracy=48.514597 lr=0.010000 Epoch[006] Batch [0779]/[1320] Speed: 218.968479 samples/sec accuracy=48.510617 lr=0.010000 Epoch[006] Batch [0799]/[1320] Speed: 184.481100 samples/sec accuracy=48.483398 lr=0.010000 Epoch[006] Batch [0819]/[1320] Speed: 240.745677 samples/sec accuracy=48.479421 lr=0.010000 Epoch[006] Batch [0839]/[1320] Speed: 191.696531 samples/sec accuracy=48.470982 lr=0.010000 Epoch[006] Batch [0859]/[1320] Speed: 228.362924 samples/sec accuracy=48.508358 lr=0.010000 Epoch[006] Batch [0879]/[1320] Speed: 204.091099 samples/sec accuracy=48.531605 lr=0.010000 Epoch[006] Batch [0899]/[1320] Speed: 186.299800 samples/sec accuracy=48.512153 lr=0.010000 Epoch[006] Batch [0919]/[1320] Speed: 243.263994 samples/sec accuracy=48.534307 lr=0.010000 Epoch[006] Batch [0939]/[1320] Speed: 190.678929 samples/sec accuracy=48.517287 lr=0.010000 Epoch[006] Batch [0959]/[1320] Speed: 217.162789 samples/sec accuracy=48.492025 lr=0.010000 Epoch[006] Batch [0979]/[1320] Speed: 214.345207 samples/sec accuracy=48.495695 lr=0.010000 Epoch[006] Batch [0999]/[1320] Speed: 197.428285 samples/sec accuracy=48.503906 lr=0.010000 Epoch[006] Batch [1019]/[1320] Speed: 223.716665 samples/sec accuracy=48.517157 lr=0.010000 Epoch[006] Batch [1039]/[1320] Speed: 198.180653 samples/sec accuracy=48.549429 lr=0.010000 Epoch[006] Batch [1059]/[1320] Speed: 235.764595 samples/sec accuracy=48.536999 lr=0.010000 Epoch[006] Batch [1079]/[1320] Speed: 202.647435 samples/sec accuracy=48.544560 lr=0.010000 Epoch[006] Batch [1099]/[1320] Speed: 206.546975 samples/sec accuracy=48.524148 lr=0.010000 Epoch[006] Batch [1119]/[1320] Speed: 210.651005 samples/sec accuracy=48.549107 lr=0.010000 Epoch[006] Batch [1139]/[1320] Speed: 215.949797 samples/sec accuracy=48.570450 lr=0.010000 Epoch[006] Batch [1159]/[1320] Speed: 196.034163 samples/sec accuracy=48.577586 lr=0.010000 Epoch[006] Batch [1179]/[1320] Speed: 244.093567 samples/sec accuracy=48.577860 lr=0.010000 Epoch[006] Batch [1199]/[1320] Speed: 184.348301 samples/sec accuracy=48.601562 lr=0.010000 Epoch[006] Batch [1219]/[1320] Speed: 235.245132 samples/sec accuracy=48.597592 lr=0.010000 Epoch[006] Batch [1239]/[1320] Speed: 203.436652 samples/sec accuracy=48.616431 lr=0.010000 Epoch[006] Batch [1259]/[1320] Speed: 216.888477 samples/sec accuracy=48.640873 lr=0.010000 Epoch[006] Batch [1279]/[1320] Speed: 220.541115 samples/sec accuracy=48.634644 lr=0.010000 Epoch[006] Batch [1299]/[1320] Speed: 200.700614 samples/sec accuracy=48.641226 lr=0.010000 Epoch[006] Batch [1319]/[1320] Speed: 295.253380 samples/sec accuracy=48.635180 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 006] training: accuracy=48.635180 [Epoch 006] speed: 207 samples/sec time cost: 925.496614 [Epoch 006] validation: acc-top1=37.815738 acc-top5=69.737694 wrote 2 events to disk Epoch[007] Batch [0019]/[1320] Speed: 102.482970 samples/sec accuracy=49.843750 lr=0.010000 Epoch[007] Batch [0039]/[1320] Speed: 203.008789 samples/sec accuracy=50.253906 lr=0.010000 Epoch[007] Batch [0059]/[1320] Speed: 226.265572 samples/sec accuracy=50.651042 lr=0.010000 Epoch[007] Batch [0079]/[1320] Speed: 213.192837 samples/sec accuracy=50.673828 lr=0.010000 Epoch[007] Batch [0099]/[1320] Speed: 200.936842 samples/sec accuracy=50.937500 lr=0.010000 Epoch[007] Batch [0119]/[1320] Speed: 220.718441 samples/sec accuracy=50.839844 lr=0.010000 Epoch[007] Batch [0139]/[1320] Speed: 205.653231 samples/sec accuracy=50.954241 lr=0.010000 Epoch[007] Batch [0159]/[1320] Speed: 209.700488 samples/sec accuracy=50.781250 lr=0.010000 Epoch[007] Batch [0179]/[1320] Speed: 217.674162 samples/sec accuracy=50.755208 lr=0.010000 Epoch[007] Batch [0199]/[1320] Speed: 214.165120 samples/sec accuracy=50.828125 lr=0.010000 Epoch[007] Batch [0219]/[1320] Speed: 202.528687 samples/sec accuracy=50.784801 lr=0.010000 Epoch[007] Batch [0239]/[1320] Speed: 228.466100 samples/sec accuracy=50.830078 lr=0.010000 Epoch[007] Batch [0259]/[1320] Speed: 204.513312 samples/sec accuracy=50.910457 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accuracy=50.740560 lr=0.010000 Epoch[007] Batch [0499]/[1320] Speed: 194.358210 samples/sec accuracy=50.787500 lr=0.010000 Epoch[007] Batch [0519]/[1320] Speed: 234.449626 samples/sec accuracy=50.856370 lr=0.010000 Epoch[007] Batch [0539]/[1320] Speed: 203.288215 samples/sec accuracy=50.879630 lr=0.010000 Epoch[007] Batch [0559]/[1320] Speed: 211.619182 samples/sec accuracy=50.848214 lr=0.010000 Epoch[007] Batch [0579]/[1320] Speed: 196.249782 samples/sec accuracy=50.849946 lr=0.010000 Epoch[007] Batch [0599]/[1320] Speed: 238.108240 samples/sec accuracy=50.796875 lr=0.010000 Epoch[007] Batch [0619]/[1320] Speed: 188.529870 samples/sec accuracy=50.850554 lr=0.010000 Epoch[007] Batch [0639]/[1320] Speed: 236.435298 samples/sec accuracy=50.850830 lr=0.010000 Epoch[007] Batch [0659]/[1320] Speed: 198.311381 samples/sec accuracy=50.859375 lr=0.010000 Epoch[007] Batch [0679]/[1320] Speed: 207.289528 samples/sec accuracy=50.804228 lr=0.010000 Epoch[007] Batch [0699]/[1320] Speed: 218.150336 samples/sec accuracy=50.801339 lr=0.010000 Epoch[007] Batch [0719]/[1320] Speed: 193.142106 samples/sec accuracy=50.795356 lr=0.010000 Epoch[007] Batch [0739]/[1320] Speed: 244.176708 samples/sec accuracy=50.778083 lr=0.010000 Epoch[007] Batch [0759]/[1320] Speed: 200.178281 samples/sec accuracy=50.787418 lr=0.010000 Epoch[007] Batch [0779]/[1320] Speed: 227.072325 samples/sec accuracy=50.800280 lr=0.010000 Epoch[007] Batch [0799]/[1320] Speed: 197.769811 samples/sec accuracy=50.807617 lr=0.010000 Epoch[007] Batch [0819]/[1320] Speed: 231.306655 samples/sec accuracy=50.783155 lr=0.010000 Epoch[007] Batch [0839]/[1320] Speed: 194.160407 samples/sec accuracy=50.758929 lr=0.010000 Epoch[007] Batch [0859]/[1320] Speed: 230.157763 samples/sec accuracy=50.723110 lr=0.010000 Epoch[007] Batch [0879]/[1320] Speed: 203.648240 samples/sec accuracy=50.718217 lr=0.010000 Epoch[007] Batch [0899]/[1320] Speed: 214.847788 samples/sec accuracy=50.738715 lr=0.010000 Epoch[007] Batch [0919]/[1320] Speed: 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[1139]/[1320] Speed: 204.723810 samples/sec accuracy=50.599644 lr=0.010000 Epoch[007] Batch [1159]/[1320] Speed: 218.422520 samples/sec accuracy=50.600081 lr=0.010000 Epoch[007] Batch [1179]/[1320] Speed: 208.145773 samples/sec accuracy=50.607124 lr=0.010000 Epoch[007] Batch [1199]/[1320] Speed: 201.894911 samples/sec accuracy=50.590495 lr=0.010000 Epoch[007] Batch [1219]/[1320] Speed: 223.901466 samples/sec accuracy=50.607070 lr=0.010000 Epoch[007] Batch [1239]/[1320] Speed: 205.006896 samples/sec accuracy=50.564516 lr=0.010000 Epoch[007] Batch [1259]/[1320] Speed: 215.869561 samples/sec accuracy=50.564236 lr=0.010000 Epoch[007] Batch [1279]/[1320] Speed: 221.521239 samples/sec accuracy=50.560303 lr=0.010000 Epoch[007] Batch [1299]/[1320] Speed: 209.926221 samples/sec accuracy=50.572115 lr=0.010000 Epoch[007] Batch [1319]/[1320] Speed: 270.743429 samples/sec accuracy=50.572917 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 007] training: accuracy=50.572917 [Epoch 007] speed: 208 samples/sec time cost: 918.300105 [Epoch 007] validation: acc-top1=39.139411 acc-top5=70.960168 wrote 2 events to disk Epoch[008] Batch [0019]/[1319] Speed: 100.309755 samples/sec accuracy=53.984375 lr=0.010000 Epoch[008] Batch [0039]/[1319] Speed: 205.730833 samples/sec accuracy=53.593750 lr=0.010000 Epoch[008] Batch [0059]/[1319] Speed: 215.706325 samples/sec accuracy=53.710938 lr=0.010000 Epoch[008] Batch [0079]/[1319] Speed: 205.508761 samples/sec accuracy=53.457031 lr=0.010000 Epoch[008] Batch [0099]/[1319] Speed: 213.721910 samples/sec accuracy=53.414062 lr=0.010000 Epoch[008] Batch [0119]/[1319] Speed: 207.980440 samples/sec accuracy=53.404948 lr=0.010000 Epoch[008] Batch [0139]/[1319] Speed: 217.417301 samples/sec accuracy=53.063616 lr=0.010000 Epoch[008] Batch [0159]/[1319] Speed: 206.950946 samples/sec accuracy=52.954102 lr=0.010000 Epoch[008] Batch [0179]/[1319] Speed: 219.878824 samples/sec accuracy=52.695312 lr=0.010000 Epoch[008] Batch [0199]/[1319] Speed: 202.021028 samples/sec accuracy=52.734375 lr=0.010000 Epoch[008] Batch [0219]/[1319] Speed: 228.172865 samples/sec accuracy=52.659801 lr=0.010000 Epoch[008] Batch [0239]/[1319] Speed: 192.451096 samples/sec accuracy=52.591146 lr=0.010000 Epoch[008] Batch [0259]/[1319] Speed: 246.511036 samples/sec accuracy=52.530048 lr=0.010000 Epoch[008] Batch [0279]/[1319] Speed: 198.579362 samples/sec accuracy=52.580915 lr=0.010000 Epoch[008] Batch [0299]/[1319] Speed: 230.162317 samples/sec accuracy=52.484375 lr=0.010000 Epoch[008] Batch [0319]/[1319] Speed: 194.626510 samples/sec accuracy=52.507324 lr=0.010000 Epoch[008] Batch [0339]/[1319] Speed: 209.023296 samples/sec accuracy=52.504596 lr=0.010000 Epoch[008] Batch [0359]/[1319] Speed: 215.669546 samples/sec 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Epoch[008] Batch [1239]/[1319] Speed: 207.200610 samples/sec accuracy=52.247984 lr=0.010000 Epoch[008] Batch [1259]/[1319] Speed: 209.778207 samples/sec accuracy=52.234003 lr=0.010000 Epoch[008] Batch [1279]/[1319] Speed: 218.846007 samples/sec accuracy=52.227173 lr=0.010000 Epoch[008] Batch [1299]/[1319] Speed: 222.497490 samples/sec accuracy=52.223558 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 008] training: accuracy=52.218774 [Epoch 008] speed: 209 samples/sec time cost: 914.961611 [Epoch 008] validation: acc-top1=41.122895 acc-top5=71.769754 wrote 2 events to disk Epoch[009] Batch [0019]/[1320] Speed: 101.212042 samples/sec accuracy=54.726562 lr=0.010000 Epoch[009] Batch [0039]/[1320] Speed: 202.377734 samples/sec accuracy=54.296875 lr=0.010000 Epoch[009] Batch [0059]/[1320] Speed: 232.385570 samples/sec accuracy=54.361979 lr=0.010000 Epoch[009] Batch [0079]/[1320] Speed: 203.737490 samples/sec accuracy=54.658203 lr=0.010000 Epoch[009] Batch [0099]/[1320] Speed: 213.399263 samples/sec accuracy=54.359375 lr=0.010000 Epoch[009] Batch [0119]/[1320] Speed: 224.986907 samples/sec accuracy=54.355469 lr=0.010000 Epoch[009] Batch [0139]/[1320] Speed: 206.863617 samples/sec accuracy=54.185268 lr=0.010000 Epoch[009] Batch [0159]/[1320] Speed: 203.518013 samples/sec accuracy=54.023438 lr=0.010000 Epoch[009] Batch [0179]/[1320] Speed: 222.013871 samples/sec accuracy=53.906250 lr=0.010000 Epoch[009] Batch [0199]/[1320] Speed: 190.809019 samples/sec accuracy=54.046875 lr=0.010000 Epoch[009] Batch [0219]/[1320] Speed: 247.821834 samples/sec accuracy=53.892045 lr=0.010000 Epoch[009] Batch [0239]/[1320] Speed: 188.615625 samples/sec accuracy=53.948568 lr=0.010000 Epoch[009] Batch [0259]/[1320] Speed: 248.826388 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Epoch[009] Batch [0919]/[1320] Speed: 209.571926 samples/sec accuracy=53.547045 lr=0.010000 Epoch[009] Batch [0939]/[1320] Speed: 216.397740 samples/sec accuracy=53.506483 lr=0.010000 Epoch[009] Batch [0959]/[1320] Speed: 217.978315 samples/sec accuracy=53.498535 lr=0.010000 Epoch[009] Batch [0979]/[1320] Speed: 203.354529 samples/sec accuracy=53.496492 lr=0.010000 Epoch[009] Batch [0999]/[1320] Speed: 223.574160 samples/sec accuracy=53.498437 lr=0.010000 Epoch[009] Batch [1019]/[1320] Speed: 204.050557 samples/sec accuracy=53.488817 lr=0.010000 Epoch[009] Batch [1039]/[1320] Speed: 216.901371 samples/sec accuracy=53.495343 lr=0.010000 Epoch[009] Batch [1059]/[1320] Speed: 200.845592 samples/sec accuracy=53.487618 lr=0.010000 Epoch[009] Batch [1079]/[1320] Speed: 239.251227 samples/sec accuracy=53.468605 lr=0.010000 Epoch[009] Batch [1099]/[1320] Speed: 189.205221 samples/sec accuracy=53.460938 lr=0.010000 Epoch[009] Batch [1119]/[1320] Speed: 217.229350 samples/sec accuracy=53.457031 lr=0.010000 Epoch[009] Batch [1139]/[1320] Speed: 228.303934 samples/sec accuracy=53.404605 lr=0.010000 Epoch[009] Batch [1159]/[1320] Speed: 204.552959 samples/sec accuracy=53.413254 lr=0.010000 Epoch[009] Batch [1179]/[1320] Speed: 212.047947 samples/sec accuracy=53.440148 lr=0.010000 Epoch[009] Batch [1199]/[1320] Speed: 209.263465 samples/sec accuracy=53.461589 lr=0.010000 Epoch[009] Batch [1219]/[1320] Speed: 211.656433 samples/sec accuracy=53.457351 lr=0.010000 Epoch[009] Batch [1239]/[1320] Speed: 206.425559 samples/sec accuracy=53.462072 lr=0.010000 Epoch[009] Batch [1259]/[1320] Speed: 230.333331 samples/sec accuracy=53.474702 lr=0.010000 Epoch[009] Batch [1279]/[1320] Speed: 192.517968 samples/sec accuracy=53.437500 lr=0.010000 Epoch[009] Batch [1299]/[1320] Speed: 257.185506 samples/sec accuracy=53.433894 lr=0.010000 Epoch[009] Batch [1319]/[1320] Speed: 257.970248 samples/sec accuracy=53.426847 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 009] training: accuracy=53.426847 [Epoch 009] speed: 209 samples/sec time cost: 915.412034 [Epoch 009] validation: acc-top1=40.244495 acc-top5=71.996438 wrote 2 events to disk Epoch[010] Batch [0019]/[1319] Speed: 103.869028 samples/sec accuracy=57.851562 lr=0.010000 Epoch[010] Batch [0039]/[1319] Speed: 193.667694 samples/sec accuracy=57.070312 lr=0.010000 Epoch[010] Batch [0059]/[1319] Speed: 233.095842 samples/sec accuracy=56.236979 lr=0.010000 Epoch[010] Batch [0079]/[1319] Speed: 205.719130 samples/sec accuracy=56.484375 lr=0.010000 Epoch[010] Batch [0099]/[1319] Speed: 219.467482 samples/sec accuracy=56.054688 lr=0.010000 Epoch[010] Batch [0119]/[1319] Speed: 213.992483 samples/sec accuracy=55.729167 lr=0.010000 Epoch[010] Batch [0139]/[1319] Speed: 186.531337 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Epoch[010] Batch [0799]/[1319] Speed: 242.371306 samples/sec accuracy=55.065430 lr=0.010000 Epoch[010] Batch [0819]/[1319] Speed: 195.044335 samples/sec accuracy=55.027630 lr=0.010000 Epoch[010] Batch [0839]/[1319] Speed: 232.351797 samples/sec accuracy=55.006510 lr=0.010000 Epoch[010] Batch [0859]/[1319] Speed: 195.760294 samples/sec accuracy=54.980923 lr=0.010000 Epoch[010] Batch [0879]/[1319] Speed: 228.317279 samples/sec accuracy=55.022195 lr=0.010000 Epoch[010] Batch [0899]/[1319] Speed: 194.929554 samples/sec accuracy=55.051215 lr=0.010000 Epoch[010] Batch [0919]/[1319] Speed: 234.727291 samples/sec accuracy=55.071332 lr=0.010000 Epoch[010] Batch [0939]/[1319] Speed: 205.438881 samples/sec accuracy=55.059009 lr=0.010000 Epoch[010] Batch [0959]/[1319] Speed: 215.143329 samples/sec accuracy=55.047201 lr=0.010000 Epoch[010] Batch [0979]/[1319] Speed: 215.896168 samples/sec accuracy=55.022321 lr=0.010000 Epoch[010] Batch [0999]/[1319] Speed: 214.799491 samples/sec accuracy=54.946875 lr=0.010000 Epoch[010] Batch [1019]/[1319] Speed: 232.386586 samples/sec accuracy=54.957108 lr=0.010000 Epoch[010] Batch [1039]/[1319] Speed: 200.948267 samples/sec accuracy=54.979718 lr=0.010000 Epoch[010] Batch [1059]/[1319] Speed: 212.756627 samples/sec accuracy=54.968308 lr=0.010000 Epoch[010] Batch [1079]/[1319] Speed: 214.766843 samples/sec accuracy=54.979745 lr=0.010000 Epoch[010] Batch [1099]/[1319] Speed: 212.751800 samples/sec accuracy=54.974432 lr=0.010000 Epoch[010] Batch [1119]/[1319] Speed: 216.766071 samples/sec accuracy=54.958147 lr=0.010000 Epoch[010] Batch [1139]/[1319] Speed: 203.693553 samples/sec accuracy=54.916393 lr=0.010000 Epoch[010] Batch [1159]/[1319] Speed: 223.605350 samples/sec accuracy=54.910426 lr=0.010000 Epoch[010] Batch [1179]/[1319] Speed: 206.545207 samples/sec accuracy=54.888771 lr=0.010000 Epoch[010] Batch [1199]/[1319] Speed: 210.564908 samples/sec accuracy=54.883464 lr=0.010000 Epoch[010] Batch [1219]/[1319] Speed: 220.037900 samples/sec accuracy=54.914831 lr=0.010000 Epoch[010] Batch [1239]/[1319] Speed: 193.471956 samples/sec accuracy=54.893523 lr=0.010000 Epoch[010] Batch [1259]/[1319] Speed: 236.110375 samples/sec accuracy=54.892113 lr=0.010000 Epoch[010] Batch [1279]/[1319] Speed: 192.487974 samples/sec accuracy=54.863281 lr=0.010000 Epoch[010] Batch [1299]/[1319] Speed: 246.102018 samples/sec accuracy=54.875601 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 010] training: accuracy=54.866968 [Epoch 010] speed: 209 samples/sec time cost: 913.680600 [Epoch 010] validation: acc-top1=41.341483 acc-top5=72.951749 wrote 2 events to disk Epoch[011] Batch [0019]/[1320] Speed: 103.971341 samples/sec accuracy=56.640625 lr=0.010000 Epoch[011] Batch [0039]/[1320] Speed: 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lr=0.010000 Epoch[011] Batch [0699]/[1320] Speed: 214.495106 samples/sec accuracy=56.236607 lr=0.010000 Epoch[011] Batch [0719]/[1320] Speed: 216.260371 samples/sec accuracy=56.238064 lr=0.010000 Epoch[011] Batch [0739]/[1320] Speed: 213.879952 samples/sec accuracy=56.205659 lr=0.010000 Epoch[011] Batch [0759]/[1320] Speed: 202.378379 samples/sec accuracy=56.221217 lr=0.010000 Epoch[011] Batch [0779]/[1320] Speed: 226.259970 samples/sec accuracy=56.208934 lr=0.010000 Epoch[011] Batch [0799]/[1320] Speed: 210.556356 samples/sec accuracy=56.193359 lr=0.010000 Epoch[011] Batch [0819]/[1320] Speed: 221.196718 samples/sec accuracy=56.233803 lr=0.010000 Epoch[011] Batch [0839]/[1320] Speed: 211.509420 samples/sec accuracy=56.217448 lr=0.010000 Epoch[011] Batch [0859]/[1320] Speed: 199.019953 samples/sec accuracy=56.198219 lr=0.010000 Epoch[011] Batch [0879]/[1320] Speed: 227.202064 samples/sec accuracy=56.205611 lr=0.010000 Epoch[011] Batch [0899]/[1320] Speed: 198.591343 samples/sec accuracy=56.224826 lr=0.010000 Epoch[011] Batch [0919]/[1320] Speed: 242.007275 samples/sec accuracy=56.225374 lr=0.010000 Epoch[011] Batch [0939]/[1320] Speed: 197.894388 samples/sec accuracy=56.234209 lr=0.010000 Epoch[011] Batch [0959]/[1320] Speed: 225.044738 samples/sec accuracy=56.195475 lr=0.010000 Epoch[011] Batch [0979]/[1320] Speed: 208.983684 samples/sec accuracy=56.157526 lr=0.010000 Epoch[011] Batch [0999]/[1320] Speed: 203.587645 samples/sec accuracy=56.137500 lr=0.010000 Epoch[011] Batch [1019]/[1320] Speed: 222.366144 samples/sec accuracy=56.116728 lr=0.010000 Epoch[011] Batch [1039]/[1320] Speed: 213.884162 samples/sec accuracy=56.141076 lr=0.010000 Epoch[011] Batch [1059]/[1320] Speed: 225.848236 samples/sec accuracy=56.137235 lr=0.010000 Epoch[011] Batch [1079]/[1320] Speed: 205.136717 samples/sec accuracy=56.123409 lr=0.010000 Epoch[011] Batch [1099]/[1320] Speed: 213.203759 samples/sec accuracy=56.141335 lr=0.010000 Epoch[011] Batch [1119]/[1320] Speed: 205.376552 samples/sec accuracy=56.143973 lr=0.010000 Epoch[011] Batch [1139]/[1320] Speed: 221.036613 samples/sec accuracy=56.126645 lr=0.010000 Epoch[011] Batch [1159]/[1320] Speed: 202.326432 samples/sec accuracy=56.132812 lr=0.010000 Epoch[011] Batch [1179]/[1320] Speed: 235.264873 samples/sec accuracy=56.101695 lr=0.010000 Epoch[011] Batch [1199]/[1320] Speed: 201.240480 samples/sec accuracy=56.091797 lr=0.010000 Epoch[011] Batch [1219]/[1320] Speed: 223.399669 samples/sec accuracy=56.048284 lr=0.010000 Epoch[011] Batch [1239]/[1320] Speed: 213.364682 samples/sec accuracy=56.021925 lr=0.010000 Epoch[011] Batch [1259]/[1320] Speed: 209.194873 samples/sec accuracy=55.978423 lr=0.010000 Epoch[011] Batch [1279]/[1320] Speed: 218.425479 samples/sec accuracy=55.972900 lr=0.010000 Epoch[011] Batch [1299]/[1320] Speed: 223.536487 samples/sec accuracy=55.968750 lr=0.010000 Epoch[011] Batch [1319]/[1320] Speed: 271.354374 samples/sec accuracy=55.975379 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 011] training: accuracy=55.975379 [Epoch 011] speed: 210 samples/sec time cost: 912.574399 [Epoch 011] validation: acc-top1=42.155117 acc-top5=73.243199 wrote 2 events to disk Epoch[012] Batch [0019]/[1320] Speed: 102.607354 samples/sec accuracy=57.773438 lr=0.010000 Epoch[012] Batch [0039]/[1320] Speed: 189.501220 samples/sec accuracy=58.046875 lr=0.010000 Epoch[012] Batch [0059]/[1320] Speed: 240.800099 samples/sec accuracy=58.138021 lr=0.010000 Epoch[012] Batch [0079]/[1320] Speed: 199.422547 samples/sec accuracy=57.832031 lr=0.010000 Epoch[012] Batch [0099]/[1320] Speed: 232.252110 samples/sec accuracy=57.882812 lr=0.010000 Epoch[012] Batch [0119]/[1320] Speed: 199.530705 samples/sec accuracy=57.949219 lr=0.010000 Epoch[012] Batch 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lr=0.010000 Epoch[012] Batch [0579]/[1320] Speed: 190.888969 samples/sec accuracy=57.446121 lr=0.010000 Epoch[012] Batch [0599]/[1320] Speed: 214.912799 samples/sec accuracy=57.427083 lr=0.010000 Epoch[012] Batch [0619]/[1320] Speed: 217.842804 samples/sec accuracy=57.415575 lr=0.010000 Epoch[012] Batch [0639]/[1320] Speed: 209.883221 samples/sec accuracy=57.415771 lr=0.010000 Epoch[012] Batch [0659]/[1320] Speed: 220.312498 samples/sec accuracy=57.405303 lr=0.010000 Epoch[012] Batch [0679]/[1320] Speed: 199.326790 samples/sec accuracy=57.363281 lr=0.010000 Epoch[012] Batch [0699]/[1320] Speed: 216.965360 samples/sec accuracy=57.398438 lr=0.010000 Epoch[012] Batch [0719]/[1320] Speed: 222.570517 samples/sec accuracy=57.379557 lr=0.010000 Epoch[012] Batch [0739]/[1320] Speed: 203.642223 samples/sec accuracy=57.384924 lr=0.010000 Epoch[012] Batch [0759]/[1320] Speed: 225.747900 samples/sec accuracy=57.359169 lr=0.010000 Epoch[012] Batch [0779]/[1320] Speed: 197.530805 samples/sec accuracy=57.357772 lr=0.010000 Epoch[012] Batch [0799]/[1320] Speed: 230.272933 samples/sec accuracy=57.382812 lr=0.010000 Epoch[012] Batch [0819]/[1320] Speed: 193.207297 samples/sec accuracy=57.340892 lr=0.010000 Epoch[012] Batch [0839]/[1320] Speed: 237.418650 samples/sec accuracy=57.403274 lr=0.010000 Epoch[012] Batch [0859]/[1320] Speed: 198.404416 samples/sec accuracy=57.410065 lr=0.010000 Epoch[012] Batch [0879]/[1320] Speed: 232.825182 samples/sec accuracy=57.367720 lr=0.010000 Epoch[012] Batch [0899]/[1320] Speed: 207.867280 samples/sec accuracy=57.348958 lr=0.010000 Epoch[012] Batch [0919]/[1320] Speed: 204.451345 samples/sec accuracy=57.362432 lr=0.010000 Epoch[012] Batch [0939]/[1320] Speed: 211.749250 samples/sec accuracy=57.353723 lr=0.010000 Epoch[012] Batch [0959]/[1320] Speed: 219.419889 samples/sec accuracy=57.343750 lr=0.010000 Epoch[012] Batch [0979]/[1320] Speed: 199.792397 samples/sec accuracy=57.330198 lr=0.010000 Epoch[012] Batch [0999]/[1320] Speed: 230.560761 samples/sec accuracy=57.332812 lr=0.010000 Epoch[012] Batch [1019]/[1320] Speed: 201.375293 samples/sec accuracy=57.285539 lr=0.010000 Epoch[012] Batch [1039]/[1320] Speed: 236.877917 samples/sec accuracy=57.296424 lr=0.010000 Epoch[012] Batch [1059]/[1320] Speed: 202.584827 samples/sec accuracy=57.263414 lr=0.010000 Epoch[012] Batch [1079]/[1320] Speed: 219.644046 samples/sec accuracy=57.262731 lr=0.010000 Epoch[012] Batch [1099]/[1320] Speed: 202.202184 samples/sec accuracy=57.271307 lr=0.010000 Epoch[012] Batch [1119]/[1320] Speed: 235.315200 samples/sec accuracy=57.261440 lr=0.010000 Epoch[012] Batch [1139]/[1320] Speed: 208.257156 samples/sec accuracy=57.277961 lr=0.010000 Epoch[012] Batch [1159]/[1320] Speed: 206.621730 samples/sec accuracy=57.266298 lr=0.010000 Epoch[012] Batch [1179]/[1320] Speed: 213.696482 samples/sec accuracy=57.232521 lr=0.010000 Epoch[012] Batch [1199]/[1320] Speed: 216.026190 samples/sec accuracy=57.222656 lr=0.010000 Epoch[012] Batch [1219]/[1320] Speed: 221.658305 samples/sec accuracy=57.231685 lr=0.010000 Epoch[012] Batch [1239]/[1320] Speed: 204.420023 samples/sec accuracy=57.229713 lr=0.010000 Epoch[012] Batch [1259]/[1320] Speed: 207.523136 samples/sec accuracy=57.220362 lr=0.010000 Epoch[012] Batch [1279]/[1320] Speed: 218.742021 samples/sec accuracy=57.219238 lr=0.010000 Epoch[012] Batch [1299]/[1320] Speed: 223.326798 samples/sec accuracy=57.205529 lr=0.010000 Epoch[012] Batch [1319]/[1320] Speed: 301.344785 samples/sec accuracy=57.183357 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 012] training: accuracy=57.183357 [Epoch 012] speed: 210 samples/sec time cost: 912.903205 [Epoch 012] validation: acc-top1=42.903983 acc-top5=73.850389 wrote 2 events to disk Epoch[013] Batch [0019]/[1319] Speed: 103.259115 samples/sec accuracy=60.273438 lr=0.010000 Epoch[013] Batch [0039]/[1319] Speed: 222.849159 samples/sec accuracy=59.062500 lr=0.010000 Epoch[013] Batch [0059]/[1319] Speed: 209.618972 samples/sec accuracy=59.414062 lr=0.010000 Epoch[013] Batch [0079]/[1319] Speed: 218.720918 samples/sec accuracy=59.501953 lr=0.010000 Epoch[013] Batch [0099]/[1319] Speed: 212.528067 samples/sec accuracy=59.320313 lr=0.010000 Epoch[013] Batch [0119]/[1319] Speed: 212.311467 samples/sec accuracy=59.563802 lr=0.010000 Epoch[013] Batch [0139]/[1319] Speed: 215.601439 samples/sec accuracy=59.525670 lr=0.010000 Epoch[013] Batch [0159]/[1319] Speed: 216.582358 samples/sec accuracy=59.096680 lr=0.010000 Epoch[013] Batch [0179]/[1319] Speed: 210.638219 samples/sec accuracy=59.045139 lr=0.010000 Epoch[013] Batch [0199]/[1319] Speed: 197.420466 samples/sec accuracy=58.960938 lr=0.010000 Epoch[013] Batch [0219]/[1319] Speed: 233.935767 samples/sec accuracy=58.977273 lr=0.010000 Epoch[013] Batch [0239]/[1319] Speed: 200.767179 samples/sec accuracy=58.984375 lr=0.010000 Epoch[013] Batch [0259]/[1319] Speed: 229.570722 samples/sec accuracy=58.915264 lr=0.010000 Epoch[013] Batch [0279]/[1319] Speed: 206.471512 samples/sec accuracy=58.783482 lr=0.010000 Epoch[013] Batch [0299]/[1319] Speed: 220.866640 samples/sec accuracy=58.776042 lr=0.010000 Epoch[013] Batch [0319]/[1319] Speed: 203.067127 samples/sec accuracy=58.640137 lr=0.010000 Epoch[013] Batch [0339]/[1319] Speed: 211.259632 samples/sec accuracy=58.515625 lr=0.010000 Epoch[013] Batch [0359]/[1319] Speed: 221.486941 samples/sec accuracy=58.463542 lr=0.010000 Epoch[013] Batch [0379]/[1319] Speed: 209.150991 samples/sec accuracy=58.400493 lr=0.010000 Epoch[013] Batch [0399]/[1319] Speed: 211.492501 samples/sec accuracy=58.398438 lr=0.010000 Epoch[013] Batch [0419]/[1319] Speed: 218.077315 samples/sec accuracy=58.411458 lr=0.010000 Epoch[013] Batch [0439]/[1319] Speed: 212.311240 samples/sec accuracy=58.465909 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accuracy=58.483665 lr=0.010000 Epoch[013] Batch [0679]/[1319] Speed: 221.059012 samples/sec accuracy=58.453585 lr=0.010000 Epoch[013] Batch [0699]/[1319] Speed: 209.713762 samples/sec accuracy=58.441964 lr=0.010000 Epoch[013] Batch [0719]/[1319] Speed: 226.387212 samples/sec accuracy=58.410373 lr=0.010000 Epoch[013] Batch [0739]/[1319] Speed: 203.488218 samples/sec accuracy=58.366765 lr=0.010000 Epoch[013] Batch [0759]/[1319] Speed: 204.464177 samples/sec accuracy=58.370683 lr=0.010000 Epoch[013] Batch [0779]/[1319] Speed: 224.172664 samples/sec accuracy=58.372396 lr=0.010000 Epoch[013] Batch [0799]/[1319] Speed: 210.652054 samples/sec accuracy=58.374023 lr=0.010000 Epoch[013] Batch [0819]/[1319] Speed: 222.291166 samples/sec accuracy=58.305069 lr=0.010000 Epoch[013] Batch [0839]/[1319] Speed: 190.645382 samples/sec accuracy=58.262649 lr=0.010000 Epoch[013] Batch [0859]/[1319] Speed: 237.745517 samples/sec accuracy=58.292151 lr=0.010000 Epoch[013] Batch [0879]/[1319] Speed: 193.026977 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evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 013] training: accuracy=58.113983 [Epoch 013] speed: 211 samples/sec time cost: 910.028879 [Epoch 013] validation: acc-top1=42.559909 acc-top5=73.963731 wrote 2 events to disk Epoch[014] Batch [0019]/[1320] Speed: 97.490627 samples/sec accuracy=60.273438 lr=0.010000 Epoch[014] Batch [0039]/[1320] Speed: 218.113977 samples/sec accuracy=60.117188 lr=0.010000 Epoch[014] Batch [0059]/[1320] Speed: 215.072712 samples/sec accuracy=60.247396 lr=0.010000 Epoch[014] Batch [0079]/[1320] Speed: 194.532649 samples/sec accuracy=60.292969 lr=0.010000 Epoch[014] Batch [0099]/[1320] Speed: 237.266241 samples/sec accuracy=60.187500 lr=0.010000 Epoch[014] Batch [0119]/[1320] Speed: 175.908606 samples/sec accuracy=60.279948 lr=0.010000 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accuracy=59.559152 lr=0.010000 Epoch[014] Batch [0579]/[1320] Speed: 223.317834 samples/sec accuracy=59.587823 lr=0.010000 Epoch[014] Batch [0599]/[1320] Speed: 205.784945 samples/sec accuracy=59.605469 lr=0.010000 Epoch[014] Batch [0619]/[1320] Speed: 221.430130 samples/sec accuracy=59.634577 lr=0.010000 Epoch[014] Batch [0639]/[1320] Speed: 206.340152 samples/sec accuracy=59.653320 lr=0.010000 Epoch[014] Batch [0659]/[1320] Speed: 215.865404 samples/sec accuracy=59.638968 lr=0.010000 Epoch[014] Batch [0679]/[1320] Speed: 208.780723 samples/sec accuracy=59.625460 lr=0.010000 Epoch[014] Batch [0699]/[1320] Speed: 236.273079 samples/sec accuracy=59.633929 lr=0.010000 Epoch[014] Batch [0719]/[1320] Speed: 201.590606 samples/sec accuracy=59.631076 lr=0.010000 Epoch[014] Batch [0739]/[1320] Speed: 229.773832 samples/sec accuracy=59.555532 lr=0.010000 Epoch[014] Batch [0759]/[1320] Speed: 210.483960 samples/sec accuracy=59.484992 lr=0.010000 Epoch[014] Batch [0779]/[1320] Speed: 199.025870 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[1219]/[1320] Speed: 212.711647 samples/sec accuracy=59.171363 lr=0.010000 Epoch[014] Batch [1239]/[1320] Speed: 231.691476 samples/sec accuracy=59.143145 lr=0.010000 Epoch[014] Batch [1259]/[1320] Speed: 199.823570 samples/sec accuracy=59.100322 lr=0.010000 Epoch[014] Batch [1279]/[1320] Speed: 213.169698 samples/sec accuracy=59.077759 lr=0.010000 Epoch[014] Batch [1299]/[1320] Speed: 226.444466 samples/sec accuracy=59.063702 lr=0.010000 Epoch[014] Batch [1319]/[1320] Speed: 271.670543 samples/sec accuracy=59.050663 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 014] training: accuracy=59.050663 [Epoch 014] speed: 209 samples/sec time cost: 916.336845 [Epoch 014] validation: acc-top1=42.138925 acc-top5=73.413212 wrote 2 events to disk Epoch[015] Batch [0019]/[1320] Speed: 107.363193 samples/sec accuracy=60.664063 lr=0.010000 Epoch[015] Batch [0039]/[1320] Speed: 210.487153 samples/sec accuracy=60.820312 lr=0.010000 Epoch[015] Batch [0059]/[1320] Speed: 222.495516 samples/sec accuracy=61.015625 lr=0.010000 Epoch[015] Batch [0079]/[1320] Speed: 215.130299 samples/sec accuracy=60.712891 lr=0.010000 Epoch[015] Batch [0099]/[1320] Speed: 201.442855 samples/sec accuracy=60.632812 lr=0.010000 Epoch[015] Batch [0119]/[1320] Speed: 229.353343 samples/sec accuracy=60.664063 lr=0.010000 Epoch[015] Batch [0139]/[1320] Speed: 215.170404 samples/sec accuracy=60.764509 lr=0.010000 Epoch[015] Batch [0159]/[1320] Speed: 219.801680 samples/sec accuracy=60.830078 lr=0.010000 Epoch[015] Batch [0179]/[1320] Speed: 210.918478 samples/sec accuracy=60.924479 lr=0.010000 Epoch[015] Batch [0199]/[1320] Speed: 204.042504 samples/sec accuracy=60.734375 lr=0.010000 Epoch[015] Batch [0219]/[1320] Speed: 225.890400 samples/sec accuracy=60.749290 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accuracy=60.333807 lr=0.010000 Epoch[015] Batch [0459]/[1320] Speed: 215.133143 samples/sec accuracy=60.297215 lr=0.010000 Epoch[015] Batch [0479]/[1320] Speed: 214.103780 samples/sec accuracy=60.332031 lr=0.010000 Epoch[015] Batch [0499]/[1320] Speed: 211.511228 samples/sec accuracy=60.337500 lr=0.010000 Epoch[015] Batch [0519]/[1320] Speed: 222.619805 samples/sec accuracy=60.405649 lr=0.010000 Epoch[015] Batch [0539]/[1320] Speed: 206.726970 samples/sec accuracy=60.363137 lr=0.010000 Epoch[015] Batch [0559]/[1320] Speed: 192.563667 samples/sec accuracy=60.382254 lr=0.010000 Epoch[015] Batch [0579]/[1320] Speed: 246.672611 samples/sec accuracy=60.367726 lr=0.010000 Epoch[015] Batch [0599]/[1320] Speed: 190.369178 samples/sec accuracy=60.359375 lr=0.010000 Epoch[015] Batch [0619]/[1320] Speed: 237.358342 samples/sec accuracy=60.327621 lr=0.010000 Epoch[015] Batch [0639]/[1320] Speed: 211.314878 samples/sec accuracy=60.291748 lr=0.010000 Epoch[015] Batch [0659]/[1320] Speed: 224.075620 samples/sec accuracy=60.294744 lr=0.010000 Epoch[015] Batch [0679]/[1320] Speed: 188.990934 samples/sec accuracy=60.252757 lr=0.010000 Epoch[015] Batch [0699]/[1320] Speed: 214.816410 samples/sec accuracy=60.253348 lr=0.010000 Epoch[015] Batch [0719]/[1320] Speed: 228.894444 samples/sec accuracy=60.206163 lr=0.010000 Epoch[015] Batch [0739]/[1320] Speed: 204.428075 samples/sec accuracy=60.171030 lr=0.010000 Epoch[015] Batch [0759]/[1320] Speed: 221.315609 samples/sec accuracy=60.173725 lr=0.010000 Epoch[015] Batch [0779]/[1320] Speed: 195.727728 samples/sec accuracy=60.180288 lr=0.010000 Epoch[015] Batch [0799]/[1320] Speed: 235.466734 samples/sec accuracy=60.185547 lr=0.010000 Epoch[015] Batch [0819]/[1320] Speed: 208.602323 samples/sec accuracy=60.201029 lr=0.010000 Epoch[015] Batch [0839]/[1320] Speed: 224.955481 samples/sec accuracy=60.182292 lr=0.010000 Epoch[015] Batch [0859]/[1320] Speed: 208.487971 samples/sec accuracy=60.164426 lr=0.010000 Epoch[015] Batch [0879]/[1320] Speed: 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Epoch[015] Batch [1319]/[1320] Speed: 260.757795 samples/sec accuracy=60.028409 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 015] training: accuracy=60.028409 [Epoch 015] speed: 211 samples/sec time cost: 909.993565 [Epoch 015] validation: acc-top1=42.462759 acc-top5=73.947539 wrote 2 events to disk Epoch[016] Batch [0019]/[1319] Speed: 108.947297 samples/sec accuracy=62.695312 lr=0.010000 Epoch[016] Batch [0039]/[1319] Speed: 213.795312 samples/sec accuracy=61.914062 lr=0.010000 Epoch[016] Batch [0059]/[1319] Speed: 218.412679 samples/sec accuracy=61.744792 lr=0.010000 Epoch[016] Batch [0079]/[1319] Speed: 215.407641 samples/sec accuracy=61.494141 lr=0.010000 Epoch[016] Batch [0099]/[1319] Speed: 184.243301 samples/sec 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Epoch[016] Batch [0979]/[1319] Speed: 204.509779 samples/sec accuracy=61.106505 lr=0.010000 Epoch[016] Batch [0999]/[1319] Speed: 215.579813 samples/sec accuracy=61.066406 lr=0.010000 Epoch[016] Batch [1019]/[1319] Speed: 216.520861 samples/sec accuracy=61.055453 lr=0.010000 Epoch[016] Batch [1039]/[1319] Speed: 197.258271 samples/sec accuracy=61.044171 lr=0.010000 Epoch[016] Batch [1059]/[1319] Speed: 244.139615 samples/sec accuracy=61.035525 lr=0.010000 Epoch[016] Batch [1079]/[1319] Speed: 184.836780 samples/sec accuracy=61.010561 lr=0.010000 Epoch[016] Batch [1099]/[1319] Speed: 252.595175 samples/sec accuracy=61.001420 lr=0.010000 Epoch[016] Batch [1119]/[1319] Speed: 185.780377 samples/sec accuracy=61.005859 lr=0.010000 Epoch[016] Batch [1139]/[1319] Speed: 237.749918 samples/sec accuracy=61.021107 lr=0.010000 Epoch[016] Batch [1159]/[1319] Speed: 207.205380 samples/sec accuracy=61.041891 lr=0.010000 Epoch[016] Batch [1179]/[1319] Speed: 218.527238 samples/sec accuracy=61.022908 lr=0.010000 Epoch[016] Batch [1199]/[1319] Speed: 203.187861 samples/sec accuracy=61.006510 lr=0.010000 Epoch[016] Batch [1219]/[1319] Speed: 207.108257 samples/sec accuracy=60.992572 lr=0.010000 Epoch[016] Batch [1239]/[1319] Speed: 213.333405 samples/sec accuracy=60.996724 lr=0.010000 Epoch[016] Batch [1259]/[1319] Speed: 225.167698 samples/sec accuracy=61.009425 lr=0.010000 Epoch[016] Batch [1279]/[1319] Speed: 196.771909 samples/sec accuracy=60.977173 lr=0.010000 Epoch[016] Batch [1299]/[1319] Speed: 274.371420 samples/sec accuracy=60.958534 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 016] training: accuracy=60.932762 [Epoch 016] speed: 210 samples/sec time cost: 912.436453 [Epoch 016] validation: acc-top1=42.964702 acc-top5=73.716807 wrote 2 events to disk Epoch[017] Batch [0019]/[1320] Speed: 106.328845 samples/sec accuracy=62.265625 lr=0.010000 Epoch[017] Batch [0039]/[1320] Speed: 198.447682 samples/sec accuracy=62.421875 lr=0.010000 Epoch[017] Batch [0059]/[1320] Speed: 250.937549 samples/sec accuracy=61.914062 lr=0.010000 Epoch[017] Batch [0079]/[1320] Speed: 205.734203 samples/sec accuracy=62.021484 lr=0.010000 Epoch[017] Batch [0099]/[1320] Speed: 197.234465 samples/sec accuracy=62.492187 lr=0.010000 Epoch[017] Batch [0119]/[1320] Speed: 252.398076 samples/sec accuracy=62.343750 lr=0.010000 Epoch[017] Batch [0139]/[1320] Speed: 196.677808 samples/sec accuracy=62.170759 lr=0.010000 Epoch[017] Batch [0159]/[1320] Speed: 233.627169 samples/sec accuracy=62.045898 lr=0.010000 Epoch[017] Batch [0179]/[1320] Speed: 205.330311 samples/sec accuracy=62.005208 lr=0.010000 Epoch[017] Batch [0199]/[1320] Speed: 214.374359 samples/sec accuracy=62.128906 lr=0.010000 Epoch[017] Batch [0219]/[1320] Speed: 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Epoch[017] Batch [0659]/[1320] Speed: 195.852100 samples/sec accuracy=62.146070 lr=0.010000 Epoch[017] Batch [0679]/[1320] Speed: 230.061778 samples/sec accuracy=62.115119 lr=0.010000 Epoch[017] Batch [0699]/[1320] Speed: 196.439062 samples/sec accuracy=62.051339 lr=0.010000 Epoch[017] Batch [0719]/[1320] Speed: 224.099897 samples/sec accuracy=62.029080 lr=0.010000 Epoch[017] Batch [0739]/[1320] Speed: 204.954378 samples/sec accuracy=62.024916 lr=0.010000 Epoch[017] Batch [0759]/[1320] Speed: 219.025682 samples/sec accuracy=62.007607 lr=0.010000 Epoch[017] Batch [0779]/[1320] Speed: 219.401659 samples/sec accuracy=62.015224 lr=0.010000 Epoch[017] Batch [0799]/[1320] Speed: 195.553281 samples/sec accuracy=61.984375 lr=0.010000 Epoch[017] Batch [0819]/[1320] Speed: 201.032726 samples/sec accuracy=62.016006 lr=0.010000 Epoch[017] Batch [0839]/[1320] Speed: 240.216127 samples/sec accuracy=62.017299 lr=0.010000 Epoch[017] Batch [0859]/[1320] Speed: 198.386590 samples/sec accuracy=61.974019 lr=0.010000 Epoch[017] Batch [0879]/[1320] Speed: 237.364009 samples/sec accuracy=61.987749 lr=0.010000 Epoch[017] Batch [0899]/[1320] Speed: 211.347043 samples/sec accuracy=61.948785 lr=0.010000 Epoch[017] Batch [0919]/[1320] Speed: 210.970031 samples/sec accuracy=61.937840 lr=0.010000 Epoch[017] Batch [0939]/[1320] Speed: 206.231586 samples/sec accuracy=61.929023 lr=0.010000 Epoch[017] Batch [0959]/[1320] Speed: 223.958497 samples/sec accuracy=61.897786 lr=0.010000 Epoch[017] Batch [0979]/[1320] Speed: 206.618497 samples/sec accuracy=61.897321 lr=0.010000 Epoch[017] Batch [0999]/[1320] Speed: 227.506478 samples/sec accuracy=61.873437 lr=0.010000 Epoch[017] Batch [1019]/[1320] Speed: 194.400693 samples/sec accuracy=61.849724 lr=0.010000 Epoch[017] Batch [1039]/[1320] Speed: 198.208562 samples/sec accuracy=61.828425 lr=0.010000 Epoch[017] Batch [1059]/[1320] Speed: 234.443622 samples/sec accuracy=61.832252 lr=0.010000 Epoch[017] Batch [1079]/[1320] Speed: 201.176273 samples/sec accuracy=61.817130 lr=0.010000 Epoch[017] Batch [1099]/[1320] Speed: 237.774684 samples/sec accuracy=61.830256 lr=0.010000 Epoch[017] Batch [1119]/[1320] Speed: 185.730211 samples/sec accuracy=61.805943 lr=0.010000 Epoch[017] Batch [1139]/[1320] Speed: 247.840711 samples/sec accuracy=61.774945 lr=0.010000 Epoch[017] Batch [1159]/[1320] Speed: 190.238123 samples/sec accuracy=61.779364 lr=0.010000 Epoch[017] Batch [1179]/[1320] Speed: 248.676446 samples/sec accuracy=61.776351 lr=0.010000 Epoch[017] Batch [1199]/[1320] Speed: 188.768676 samples/sec accuracy=61.778646 lr=0.010000 Epoch[017] Batch [1219]/[1320] Speed: 227.318034 samples/sec accuracy=61.751409 lr=0.010000 Epoch[017] Batch [1239]/[1320] Speed: 204.072290 samples/sec accuracy=61.747732 lr=0.010000 Epoch[017] Batch [1259]/[1320] Speed: 213.647087 samples/sec accuracy=61.753472 lr=0.010000 Epoch[017] Batch [1279]/[1320] Speed: 220.517971 samples/sec accuracy=61.735840 lr=0.010000 Epoch[017] Batch [1299]/[1320] Speed: 220.183236 samples/sec accuracy=61.753005 lr=0.010000 Epoch[017] Batch [1319]/[1320] Speed: 267.614688 samples/sec accuracy=61.750118 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 017] training: accuracy=61.750118 [Epoch 017] speed: 210 samples/sec time cost: 913.867408 [Epoch 017] validation: acc-top1=42.891839 acc-top5=73.789670 wrote 2 events to disk Epoch[018] Batch [0019]/[1320] Speed: 107.509268 samples/sec accuracy=62.851562 lr=0.010000 Epoch[018] Batch [0039]/[1320] Speed: 212.606596 samples/sec accuracy=62.460938 lr=0.010000 Epoch[018] Batch [0059]/[1320] Speed: 210.591999 samples/sec accuracy=63.164062 lr=0.010000 Epoch[018] Batch [0079]/[1320] Speed: 231.097396 samples/sec accuracy=63.447266 lr=0.010000 Epoch[018] Batch [0099]/[1320] 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Epoch[018] Batch [0539]/[1320] Speed: 203.809815 samples/sec accuracy=63.314525 lr=0.010000 Epoch[018] Batch [0559]/[1320] Speed: 224.819802 samples/sec accuracy=63.318917 lr=0.010000 Epoch[018] Batch [0579]/[1320] Speed: 215.495111 samples/sec accuracy=63.336476 lr=0.010000 Epoch[018] Batch [0599]/[1320] Speed: 205.498440 samples/sec accuracy=63.294271 lr=0.010000 Epoch[018] Batch [0619]/[1320] Speed: 235.575371 samples/sec accuracy=63.253528 lr=0.010000 Epoch[018] Batch [0639]/[1320] Speed: 207.954878 samples/sec accuracy=63.251953 lr=0.010000 Epoch[018] Batch [0659]/[1320] Speed: 221.136389 samples/sec accuracy=63.242188 lr=0.010000 Epoch[018] Batch [0679]/[1320] Speed: 191.452665 samples/sec accuracy=63.173254 lr=0.010000 Epoch[018] Batch [0699]/[1320] Speed: 226.332826 samples/sec accuracy=63.183036 lr=0.010000 Epoch[018] Batch [0719]/[1320] Speed: 205.357553 samples/sec accuracy=63.117405 lr=0.010000 Epoch[018] Batch [0739]/[1320] Speed: 221.448260 samples/sec accuracy=63.104941 lr=0.010000 Epoch[018] Batch [0759]/[1320] Speed: 203.515953 samples/sec accuracy=63.116776 lr=0.010000 Epoch[018] Batch [0779]/[1320] Speed: 222.852665 samples/sec accuracy=63.146034 lr=0.010000 Epoch[018] Batch [0799]/[1320] Speed: 210.031597 samples/sec accuracy=63.180664 lr=0.010000 Epoch[018] Batch [0819]/[1320] Speed: 218.522426 samples/sec accuracy=63.141197 lr=0.010000 Epoch[018] Batch [0839]/[1320] Speed: 192.570167 samples/sec accuracy=63.111979 lr=0.010000 Epoch[018] Batch [0859]/[1320] Speed: 238.459129 samples/sec accuracy=63.079578 lr=0.010000 Epoch[018] Batch [0879]/[1320] Speed: 196.000086 samples/sec accuracy=63.026456 lr=0.010000 Epoch[018] Batch [0899]/[1320] Speed: 223.778671 samples/sec accuracy=62.990451 lr=0.010000 Epoch[018] Batch [0919]/[1320] Speed: 190.016898 samples/sec accuracy=62.971298 lr=0.010000 Epoch[018] Batch [0939]/[1320] Speed: 238.790770 samples/sec accuracy=62.928025 lr=0.010000 Epoch[018] Batch [0959]/[1320] Speed: 198.911788 samples/sec accuracy=62.914225 lr=0.010000 Epoch[018] Batch [0979]/[1320] Speed: 227.496553 samples/sec accuracy=62.931282 lr=0.010000 Epoch[018] Batch [0999]/[1320] Speed: 204.924353 samples/sec accuracy=62.876562 lr=0.010000 Epoch[018] Batch [1019]/[1320] Speed: 226.711093 samples/sec accuracy=62.876838 lr=0.010000 Epoch[018] Batch [1039]/[1320] Speed: 214.727077 samples/sec accuracy=62.868089 lr=0.010000 Epoch[018] Batch [1059]/[1320] Speed: 214.885174 samples/sec accuracy=62.898732 lr=0.010000 Epoch[018] Batch [1079]/[1320] Speed: 202.897097 samples/sec accuracy=62.866030 lr=0.010000 Epoch[018] Batch [1099]/[1320] Speed: 203.126491 samples/sec accuracy=62.867898 lr=0.010000 Epoch[018] Batch [1119]/[1320] Speed: 233.772586 samples/sec accuracy=62.858538 lr=0.010000 Epoch[018] Batch [1139]/[1320] Speed: 195.468021 samples/sec accuracy=62.857730 lr=0.010000 Epoch[018] Batch [1159]/[1320] Speed: 244.571117 samples/sec accuracy=62.836072 lr=0.010000 Epoch[018] Batch [1179]/[1320] Speed: 183.850353 samples/sec accuracy=62.787341 lr=0.010000 Epoch[018] Batch [1199]/[1320] Speed: 244.786152 samples/sec accuracy=62.770833 lr=0.010000 Epoch[018] Batch [1219]/[1320] Speed: 181.653738 samples/sec accuracy=62.767034 lr=0.010000 Epoch[018] Batch [1239]/[1320] Speed: 247.359129 samples/sec accuracy=62.738155 lr=0.010000 Epoch[018] Batch [1259]/[1320] Speed: 199.030515 samples/sec accuracy=62.712054 lr=0.010000 Epoch[018] Batch [1279]/[1320] Speed: 233.182373 samples/sec accuracy=62.700806 lr=0.010000 Epoch[018] Batch [1299]/[1320] Speed: 213.642836 samples/sec accuracy=62.676683 lr=0.010000 Epoch[018] Batch [1319]/[1320] Speed: 273.318503 samples/sec accuracy=62.658617 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 018] training: accuracy=62.658617 [Epoch 018] speed: 210 samples/sec time cost: 912.108747 [Epoch 018] validation: acc-top1=43.013277 acc-top5=74.340188 wrote 2 events to disk Epoch[019] Batch [0019]/[1319] Speed: 103.288011 samples/sec accuracy=65.000000 lr=0.010000 Epoch[019] Batch [0039]/[1319] Speed: 224.030476 samples/sec accuracy=64.726562 lr=0.010000 Epoch[019] Batch [0059]/[1319] Speed: 205.358727 samples/sec accuracy=64.674479 lr=0.010000 Epoch[019] Batch [0079]/[1319] Speed: 221.928786 samples/sec accuracy=65.097656 lr=0.010000 Epoch[019] Batch [0099]/[1319] Speed: 204.153698 samples/sec accuracy=64.867188 lr=0.010000 Epoch[019] Batch [0119]/[1319] Speed: 226.374144 samples/sec accuracy=64.687500 lr=0.010000 Epoch[019] Batch [0139]/[1319] Speed: 208.779943 samples/sec accuracy=64.698661 lr=0.010000 Epoch[019] Batch [0159]/[1319] Speed: 205.123875 samples/sec accuracy=64.594727 lr=0.010000 Epoch[019] Batch [0179]/[1319] Speed: 224.630137 samples/sec accuracy=64.340278 lr=0.010000 Epoch[019] 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lr=0.010000 Epoch[019] Batch [0639]/[1319] Speed: 240.551706 samples/sec accuracy=63.657227 lr=0.010000 Epoch[019] Batch [0659]/[1319] Speed: 184.656292 samples/sec accuracy=63.690814 lr=0.010000 Epoch[019] Batch [0679]/[1319] Speed: 250.641542 samples/sec accuracy=63.659237 lr=0.010000 Epoch[019] Batch [0699]/[1319] Speed: 198.987224 samples/sec accuracy=63.631696 lr=0.010000 Epoch[019] Batch [0719]/[1319] Speed: 187.418756 samples/sec accuracy=63.601345 lr=0.010000 Epoch[019] Batch [0739]/[1319] Speed: 241.896921 samples/sec accuracy=63.519848 lr=0.010000 Epoch[019] Batch [0759]/[1319] Speed: 190.208835 samples/sec accuracy=63.483758 lr=0.010000 Epoch[019] Batch [0779]/[1319] Speed: 250.053306 samples/sec accuracy=63.443510 lr=0.010000 Epoch[019] Batch [0799]/[1319] Speed: 191.321598 samples/sec accuracy=63.408203 lr=0.010000 Epoch[019] Batch [0819]/[1319] Speed: 217.875877 samples/sec accuracy=63.371761 lr=0.010000 Epoch[019] Batch [0839]/[1319] Speed: 210.187329 samples/sec accuracy=63.378906 lr=0.010000 Epoch[019] Batch [0859]/[1319] Speed: 211.525899 samples/sec accuracy=63.385719 lr=0.010000 Epoch[019] Batch [0879]/[1319] Speed: 219.327569 samples/sec accuracy=63.399325 lr=0.010000 Epoch[019] Batch [0899]/[1319] Speed: 199.571251 samples/sec accuracy=63.370660 lr=0.010000 Epoch[019] Batch [0919]/[1319] Speed: 216.889073 samples/sec accuracy=63.376359 lr=0.010000 Epoch[019] Batch [0939]/[1319] Speed: 212.768119 samples/sec accuracy=63.342753 lr=0.010000 Epoch[019] Batch [0959]/[1319] Speed: 218.230454 samples/sec accuracy=63.309733 lr=0.010000 Epoch[019] Batch [0979]/[1319] Speed: 213.414842 samples/sec accuracy=63.301977 lr=0.010000 Epoch[019] Batch [0999]/[1319] Speed: 216.564020 samples/sec accuracy=63.271875 lr=0.010000 Epoch[019] Batch [1019]/[1319] Speed: 211.847879 samples/sec accuracy=63.251379 lr=0.010000 Epoch[019] Batch [1039]/[1319] Speed: 210.611913 samples/sec accuracy=63.230919 lr=0.010000 Epoch[019] Batch [1059]/[1319] Speed: 196.844063 samples/sec accuracy=63.215654 lr=0.010000 Epoch[019] Batch [1079]/[1319] Speed: 244.905158 samples/sec accuracy=63.252315 lr=0.010000 Epoch[019] Batch [1099]/[1319] Speed: 187.967605 samples/sec accuracy=63.256392 lr=0.010000 Epoch[019] Batch [1119]/[1319] Speed: 241.708051 samples/sec accuracy=63.251953 lr=0.010000 Epoch[019] Batch [1139]/[1319] Speed: 194.825441 samples/sec accuracy=63.242188 lr=0.010000 Epoch[019] Batch [1159]/[1319] Speed: 209.506749 samples/sec accuracy=63.237473 lr=0.010000 Epoch[019] Batch [1179]/[1319] Speed: 218.774881 samples/sec accuracy=63.224974 lr=0.010000 Epoch[019] Batch [1199]/[1319] Speed: 195.121261 samples/sec accuracy=63.234375 lr=0.010000 Epoch[019] Batch [1219]/[1319] Speed: 243.437410 samples/sec accuracy=63.211450 lr=0.010000 Epoch[019] Batch [1239]/[1319] Speed: 188.343083 samples/sec accuracy=63.205645 lr=0.010000 Epoch[019] Batch [1259]/[1319] Speed: 248.080936 samples/sec accuracy=63.182044 lr=0.010000 Epoch[019] Batch [1279]/[1319] Speed: 186.909064 samples/sec accuracy=63.178711 lr=0.010000 Epoch[019] Batch [1299]/[1319] Speed: 272.860475 samples/sec accuracy=63.148438 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 019] training: accuracy=63.136728 [Epoch 019] speed: 209 samples/sec time cost: 914.234318 [Epoch 019] validation: acc-top1=43.482837 acc-top5=74.218750 wrote 2 events to disk Epoch[020] Batch [0019]/[1320] Speed: 102.266433 samples/sec accuracy=65.273438 lr=0.010000 Epoch[020] Batch [0039]/[1320] Speed: 214.162211 samples/sec accuracy=65.429688 lr=0.010000 Epoch[020] Batch [0059]/[1320] Speed: 217.395041 samples/sec accuracy=65.312500 lr=0.010000 Epoch[020] Batch [0079]/[1320] Speed: 209.349444 samples/sec accuracy=65.390625 lr=0.010000 Epoch[020] Batch 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Epoch[020] Batch [0319]/[1320] Speed: 236.313181 samples/sec accuracy=65.126953 lr=0.010000 Epoch[020] Batch [0339]/[1320] Speed: 204.688697 samples/sec accuracy=65.087316 lr=0.010000 Epoch[020] Batch [0359]/[1320] Speed: 213.882802 samples/sec accuracy=65.069444 lr=0.010000 Epoch[020] Batch [0379]/[1320] Speed: 217.596939 samples/sec accuracy=65.030839 lr=0.010000 Epoch[020] Batch [0399]/[1320] Speed: 215.571646 samples/sec accuracy=64.980469 lr=0.010000 Epoch[020] Batch [0419]/[1320] Speed: 203.034581 samples/sec accuracy=64.906994 lr=0.010000 Epoch[020] Batch [0439]/[1320] Speed: 224.037366 samples/sec accuracy=64.893466 lr=0.010000 Epoch[020] Batch [0459]/[1320] Speed: 211.658648 samples/sec accuracy=64.886209 lr=0.010000 Epoch[020] Batch [0479]/[1320] Speed: 226.240004 samples/sec accuracy=64.869792 lr=0.010000 Epoch[020] Batch [0499]/[1320] Speed: 206.726862 samples/sec accuracy=64.812500 lr=0.010000 Epoch[020] Batch [0519]/[1320] Speed: 221.944989 samples/sec accuracy=64.777644 lr=0.010000 Epoch[020] Batch [0539]/[1320] Speed: 210.358593 samples/sec accuracy=64.774306 lr=0.010000 Epoch[020] Batch [0559]/[1320] Speed: 196.018317 samples/sec accuracy=64.704241 lr=0.010000 Epoch[020] Batch [0579]/[1320] Speed: 235.800558 samples/sec accuracy=64.674030 lr=0.010000 Epoch[020] Batch [0599]/[1320] Speed: 190.934067 samples/sec accuracy=64.674479 lr=0.010000 Epoch[020] Batch [0619]/[1320] Speed: 239.523919 samples/sec accuracy=64.653478 lr=0.010000 Epoch[020] Batch [0639]/[1320] Speed: 187.955569 samples/sec accuracy=64.604492 lr=0.010000 Epoch[020] Batch [0659]/[1320] Speed: 223.356474 samples/sec accuracy=64.591619 lr=0.010000 Epoch[020] Batch [0679]/[1320] Speed: 209.146359 samples/sec accuracy=64.549632 lr=0.010000 Epoch[020] Batch [0699]/[1320] Speed: 217.342649 samples/sec accuracy=64.520089 lr=0.010000 Epoch[020] Batch [0719]/[1320] Speed: 220.029657 samples/sec accuracy=64.493273 lr=0.010000 Epoch[020] Batch [0739]/[1320] Speed: 210.064531 samples/sec accuracy=64.462627 lr=0.010000 Epoch[020] Batch [0759]/[1320] Speed: 219.303841 samples/sec accuracy=64.441817 lr=0.010000 Epoch[020] Batch [0779]/[1320] Speed: 209.826121 samples/sec accuracy=64.425080 lr=0.010000 Epoch[020] Batch [0799]/[1320] Speed: 205.316958 samples/sec accuracy=64.387695 lr=0.010000 Epoch[020] Batch [0819]/[1320] Speed: 227.827654 samples/sec accuracy=64.340701 lr=0.010000 Epoch[020] Batch [0839]/[1320] Speed: 203.561249 samples/sec accuracy=64.313616 lr=0.010000 Epoch[020] Batch [0859]/[1320] Speed: 234.858566 samples/sec accuracy=64.293241 lr=0.010000 Epoch[020] Batch [0879]/[1320] Speed: 201.641112 samples/sec accuracy=64.258700 lr=0.010000 Epoch[020] Batch [0899]/[1320] Speed: 227.839672 samples/sec accuracy=64.264757 lr=0.010000 Epoch[020] Batch [0919]/[1320] Speed: 209.601675 samples/sec accuracy=64.256114 lr=0.010000 Epoch[020] Batch [0939]/[1320] Speed: 212.709540 samples/sec accuracy=64.241190 lr=0.010000 Epoch[020] Batch [0959]/[1320] Speed: 212.685473 samples/sec accuracy=64.229329 lr=0.010000 Epoch[020] Batch [0979]/[1320] Speed: 231.418838 samples/sec accuracy=64.192443 lr=0.010000 Epoch[020] Batch [0999]/[1320] Speed: 203.059800 samples/sec accuracy=64.195312 lr=0.010000 Epoch[020] Batch [1019]/[1320] Speed: 224.781543 samples/sec accuracy=64.167433 lr=0.010000 Epoch[020] Batch [1039]/[1320] Speed: 206.041848 samples/sec accuracy=64.131611 lr=0.010000 Epoch[020] Batch [1059]/[1320] Speed: 212.834641 samples/sec accuracy=64.098614 lr=0.010000 Epoch[020] Batch [1079]/[1320] Speed: 213.312999 samples/sec accuracy=64.055266 lr=0.010000 Epoch[020] Batch [1099]/[1320] Speed: 206.010444 samples/sec accuracy=64.063920 lr=0.010000 Epoch[020] Batch [1119]/[1320] Speed: 229.492540 samples/sec accuracy=64.052734 lr=0.010000 Epoch[020] Batch [1139]/[1320] Speed: 207.015092 samples/sec accuracy=64.030976 lr=0.010000 Epoch[020] Batch [1159]/[1320] Speed: 207.994742 samples/sec accuracy=64.005253 lr=0.010000 Epoch[020] Batch [1179]/[1320] Speed: 213.083027 samples/sec accuracy=64.012182 lr=0.010000 Epoch[020] Batch [1199]/[1320] Speed: 223.227561 samples/sec accuracy=64.020833 lr=0.010000 Epoch[020] Batch [1219]/[1320] Speed: 209.414155 samples/sec accuracy=64.001025 lr=0.010000 Epoch[020] Batch [1239]/[1320] Speed: 217.124765 samples/sec accuracy=63.990045 lr=0.010000 Epoch[020] Batch [1259]/[1320] Speed: 209.307023 samples/sec accuracy=63.961434 lr=0.010000 Epoch[020] Batch [1279]/[1320] Speed: 215.580817 samples/sec accuracy=63.971558 lr=0.010000 Epoch[020] Batch [1299]/[1320] Speed: 231.329050 samples/sec accuracy=63.930288 lr=0.010000 Epoch[020] Batch [1319]/[1320] Speed: 268.058639 samples/sec accuracy=63.909801 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 020] training: accuracy=63.909801 [Epoch 020] speed: 210 samples/sec time cost: 912.976970 [Epoch 020] validation: acc-top1=43.859294 acc-top5=74.530440 wrote 2 events to disk Epoch[021] Batch [0019]/[1319] Speed: 106.649385 samples/sec accuracy=67.109375 lr=0.010000 Epoch[021] Batch [0039]/[1319] Speed: 224.296032 samples/sec accuracy=65.585938 lr=0.010000 Epoch[021] Batch [0059]/[1319] Speed: 212.311907 samples/sec accuracy=65.494792 lr=0.010000 Epoch[021] Batch [0079]/[1319] Speed: 212.004831 samples/sec accuracy=65.595703 lr=0.010000 Epoch[021] Batch [0099]/[1319] Speed: 204.821330 samples/sec accuracy=65.648438 lr=0.010000 Epoch[021] Batch [0119]/[1319] Speed: 230.423910 samples/sec accuracy=65.800781 lr=0.010000 Epoch[021] Batch [0139]/[1319] Speed: 195.375373 samples/sec accuracy=65.697545 lr=0.010000 Epoch[021] Batch [0159]/[1319] Speed: 243.752516 samples/sec accuracy=65.620117 lr=0.010000 Epoch[021] Batch [0179]/[1319] Speed: 189.487642 samples/sec accuracy=65.733507 lr=0.010000 Epoch[021] 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Epoch[021] Batch [0419]/[1319] Speed: 193.674639 samples/sec accuracy=65.357143 lr=0.010000 Epoch[021] Batch [0439]/[1319] Speed: 254.389535 samples/sec accuracy=65.456321 lr=0.010000 Epoch[021] Batch [0459]/[1319] Speed: 190.727851 samples/sec accuracy=65.429688 lr=0.010000 Epoch[021] Batch [0479]/[1319] Speed: 231.491551 samples/sec accuracy=65.336914 lr=0.010000 Epoch[021] Batch [0499]/[1319] Speed: 214.424952 samples/sec accuracy=65.362500 lr=0.010000 Epoch[021] Batch [0519]/[1319] Speed: 218.552445 samples/sec accuracy=65.399639 lr=0.010000 Epoch[021] Batch [0539]/[1319] Speed: 201.886582 samples/sec accuracy=65.364583 lr=0.010000 Epoch[021] Batch [0559]/[1319] Speed: 228.950157 samples/sec accuracy=65.332031 lr=0.010000 Epoch[021] Batch [0579]/[1319] Speed: 205.543498 samples/sec accuracy=65.308459 lr=0.010000 Epoch[021] Batch [0599]/[1319] Speed: 206.147883 samples/sec accuracy=65.294271 lr=0.010000 Epoch[021] Batch [0619]/[1319] Speed: 226.215581 samples/sec accuracy=65.286038 lr=0.010000 Epoch[021] Batch [0639]/[1319] Speed: 198.755698 samples/sec accuracy=65.283203 lr=0.010000 Epoch[021] Batch [0659]/[1319] Speed: 227.040957 samples/sec accuracy=65.268703 lr=0.010000 Epoch[021] Batch [0679]/[1319] Speed: 191.653638 samples/sec accuracy=65.252757 lr=0.010000 Epoch[021] Batch [0699]/[1319] Speed: 230.619041 samples/sec accuracy=65.227679 lr=0.010000 Epoch[021] Batch [0719]/[1319] Speed: 200.369276 samples/sec accuracy=65.195312 lr=0.010000 Epoch[021] Batch [0739]/[1319] Speed: 229.643123 samples/sec accuracy=65.156250 lr=0.010000 Epoch[021] Batch [0759]/[1319] Speed: 202.255100 samples/sec accuracy=65.142887 lr=0.010000 Epoch[021] Batch [0779]/[1319] Speed: 227.490634 samples/sec accuracy=65.134215 lr=0.010000 Epoch[021] Batch [0799]/[1319] Speed: 191.502098 samples/sec accuracy=65.135742 lr=0.010000 Epoch[021] Batch [0819]/[1319] Speed: 241.736472 samples/sec accuracy=65.133384 lr=0.010000 Epoch[021] Batch [0839]/[1319] Speed: 206.162952 samples/sec accuracy=65.125558 lr=0.010000 Epoch[021] Batch [0859]/[1319] Speed: 211.633175 samples/sec accuracy=65.084484 lr=0.010000 Epoch[021] Batch [0879]/[1319] Speed: 219.588037 samples/sec accuracy=65.070135 lr=0.010000 Epoch[021] Batch [0899]/[1319] Speed: 198.971667 samples/sec accuracy=65.032118 lr=0.010000 Epoch[021] Batch [0919]/[1319] Speed: 228.503197 samples/sec accuracy=65.019531 lr=0.010000 Epoch[021] Batch [0939]/[1319] Speed: 218.976923 samples/sec accuracy=65.033245 lr=0.010000 Epoch[021] Batch [0959]/[1319] Speed: 216.086915 samples/sec accuracy=65.002441 lr=0.010000 Epoch[021] Batch [0979]/[1319] Speed: 218.210408 samples/sec accuracy=64.969707 lr=0.010000 Epoch[021] Batch [0999]/[1319] Speed: 207.880613 samples/sec accuracy=64.951563 lr=0.010000 Epoch[021] Batch [1019]/[1319] Speed: 225.267099 samples/sec accuracy=64.970895 lr=0.010000 Epoch[021] Batch [1039]/[1319] Speed: 215.117700 samples/sec accuracy=64.943660 lr=0.010000 Epoch[021] Batch [1059]/[1319] Speed: 200.783345 samples/sec accuracy=64.887235 lr=0.010000 Epoch[021] Batch [1079]/[1319] Speed: 240.011688 samples/sec accuracy=64.848090 lr=0.010000 Epoch[021] Batch [1099]/[1319] Speed: 196.173332 samples/sec accuracy=64.827415 lr=0.010000 Epoch[021] Batch [1119]/[1319] Speed: 238.880742 samples/sec accuracy=64.828404 lr=0.010000 Epoch[021] Batch [1139]/[1319] Speed: 205.279314 samples/sec accuracy=64.808114 lr=0.010000 Epoch[021] Batch [1159]/[1319] Speed: 221.474803 samples/sec accuracy=64.795932 lr=0.010000 Epoch[021] Batch [1179]/[1319] Speed: 209.317672 samples/sec accuracy=64.767611 lr=0.010000 Epoch[021] Batch [1199]/[1319] Speed: 218.612035 samples/sec accuracy=64.752604 lr=0.010000 Epoch[021] Batch [1219]/[1319] Speed: 217.988073 samples/sec accuracy=64.764344 lr=0.010000 Epoch[021] Batch [1239]/[1319] Speed: 230.830551 samples/sec accuracy=64.732233 lr=0.010000 Epoch[021] Batch [1259]/[1319] Speed: 198.534042 samples/sec accuracy=64.691220 lr=0.010000 Epoch[021] Batch [1279]/[1319] Speed: 202.447150 samples/sec accuracy=64.698486 lr=0.010000 Epoch[021] Batch [1299]/[1319] Speed: 266.001700 samples/sec accuracy=64.667668 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 021] training: accuracy=64.677905 [Epoch 021] speed: 211 samples/sec time cost: 907.464700 [Epoch 021] validation: acc-top1=44.065738 acc-top5=74.639734 wrote 2 events to disk Epoch[022] Batch [0019]/[1320] Speed: 106.156749 samples/sec accuracy=66.250000 lr=0.010000 Epoch[022] Batch [0039]/[1320] Speed: 218.189439 samples/sec accuracy=66.289062 lr=0.010000 Epoch[022] Batch [0059]/[1320] Speed: 211.491189 samples/sec accuracy=66.380208 lr=0.010000 Epoch[022] Batch [0079]/[1320] Speed: 220.725991 samples/sec accuracy=66.611328 lr=0.010000 Epoch[022] Batch 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Epoch[022] Batch [0319]/[1320] Speed: 207.986745 samples/sec accuracy=66.389160 lr=0.010000 Epoch[022] Batch [0339]/[1320] Speed: 198.362232 samples/sec accuracy=66.360294 lr=0.010000 Epoch[022] Batch [0359]/[1320] Speed: 213.995264 samples/sec accuracy=66.234809 lr=0.010000 Epoch[022] Batch [0379]/[1320] Speed: 215.318040 samples/sec accuracy=66.256168 lr=0.010000 Epoch[022] Batch [0399]/[1320] Speed: 222.923000 samples/sec accuracy=66.226562 lr=0.010000 Epoch[022] Batch [0419]/[1320] Speed: 198.297087 samples/sec accuracy=66.199777 lr=0.010000 Epoch[022] Batch [0439]/[1320] Speed: 243.286444 samples/sec accuracy=66.226918 lr=0.010000 Epoch[022] Batch [0459]/[1320] Speed: 207.737997 samples/sec accuracy=66.183764 lr=0.010000 Epoch[022] Batch [0479]/[1320] Speed: 219.814666 samples/sec accuracy=66.183268 lr=0.010000 Epoch[022] Batch [0499]/[1320] Speed: 201.917372 samples/sec accuracy=66.184375 lr=0.010000 Epoch[022] Batch [0519]/[1320] Speed: 229.392654 samples/sec accuracy=66.146334 lr=0.010000 Epoch[022] Batch [0539]/[1320] Speed: 208.832471 samples/sec accuracy=66.076389 lr=0.010000 Epoch[022] Batch [0559]/[1320] Speed: 216.916379 samples/sec accuracy=66.082589 lr=0.010000 Epoch[022] Batch [0579]/[1320] Speed: 207.649569 samples/sec accuracy=66.096444 lr=0.010000 Epoch[022] Batch [0599]/[1320] Speed: 216.033892 samples/sec accuracy=66.075521 lr=0.010000 Epoch[022] Batch [0619]/[1320] Speed: 185.355149 samples/sec accuracy=66.097530 lr=0.010000 Epoch[022] Batch [0639]/[1320] Speed: 252.292175 samples/sec accuracy=66.042480 lr=0.010000 Epoch[022] Batch [0659]/[1320] Speed: 198.958475 samples/sec accuracy=65.986032 lr=0.010000 Epoch[022] Batch [0679]/[1320] Speed: 237.436873 samples/sec accuracy=65.990349 lr=0.010000 Epoch[022] Batch [0699]/[1320] Speed: 195.620737 samples/sec accuracy=65.954241 lr=0.010000 Epoch[022] Batch [0719]/[1320] Speed: 208.314606 samples/sec accuracy=65.955946 lr=0.010000 Epoch[022] Batch [0739]/[1320] Speed: 226.541509 samples/sec accuracy=65.912162 lr=0.010000 Epoch[022] Batch [0759]/[1320] Speed: 206.652923 samples/sec accuracy=65.880962 lr=0.010000 Epoch[022] Batch [0779]/[1320] Speed: 219.727091 samples/sec accuracy=65.856370 lr=0.010000 Epoch[022] Batch [0799]/[1320] Speed: 207.660505 samples/sec accuracy=65.830078 lr=0.010000 Epoch[022] Batch [0819]/[1320] Speed: 232.647914 samples/sec accuracy=65.802210 lr=0.010000 Epoch[022] Batch [0839]/[1320] Speed: 202.102253 samples/sec accuracy=65.804501 lr=0.010000 Epoch[022] Batch [0859]/[1320] Speed: 203.341755 samples/sec accuracy=65.792151 lr=0.010000 Epoch[022] Batch [0879]/[1320] Speed: 233.656061 samples/sec accuracy=65.767933 lr=0.010000 Epoch[022] Batch [0899]/[1320] Speed: 208.016111 samples/sec accuracy=65.723958 lr=0.010000 Epoch[022] Batch [0919]/[1320] Speed: 230.329457 samples/sec accuracy=65.707371 lr=0.010000 Epoch[022] Batch [0939]/[1320] Speed: 207.089391 samples/sec accuracy=65.724734 lr=0.010000 Epoch[022] Batch [0959]/[1320] Speed: 188.769110 samples/sec accuracy=65.681152 lr=0.010000 Epoch[022] Batch [0979]/[1320] Speed: 248.323127 samples/sec accuracy=65.664062 lr=0.010000 Epoch[022] Batch [0999]/[1320] Speed: 188.096501 samples/sec accuracy=65.633594 lr=0.010000 Epoch[022] Batch [1019]/[1320] Speed: 238.944874 samples/sec accuracy=65.629596 lr=0.010000 Epoch[022] Batch [1039]/[1320] Speed: 194.655626 samples/sec accuracy=65.612981 lr=0.010000 Epoch[022] Batch [1059]/[1320] Speed: 240.686704 samples/sec accuracy=65.567512 lr=0.010000 Epoch[022] Batch [1079]/[1320] Speed: 201.368975 samples/sec accuracy=65.533131 lr=0.010000 Epoch[022] Batch [1099]/[1320] Speed: 214.432112 samples/sec accuracy=65.491477 lr=0.010000 Epoch[022] Batch [1119]/[1320] Speed: 236.229679 samples/sec accuracy=65.454102 lr=0.010000 Epoch[022] Batch [1139]/[1320] Speed: 207.170787 samples/sec accuracy=65.429002 lr=0.010000 Epoch[022] Batch [1159]/[1320] Speed: 231.219757 samples/sec accuracy=65.403421 lr=0.010000 Epoch[022] Batch [1179]/[1320] Speed: 192.142105 samples/sec accuracy=65.385990 lr=0.010000 Epoch[022] Batch [1199]/[1320] Speed: 229.294951 samples/sec accuracy=65.353516 lr=0.010000 Epoch[022] Batch [1219]/[1320] Speed: 194.437082 samples/sec accuracy=65.369493 lr=0.010000 Epoch[022] Batch [1239]/[1320] Speed: 242.054963 samples/sec accuracy=65.368574 lr=0.010000 Epoch[022] Batch [1259]/[1320] Speed: 206.690156 samples/sec accuracy=65.355283 lr=0.010000 Epoch[022] Batch [1279]/[1320] Speed: 194.915958 samples/sec accuracy=65.313721 lr=0.010000 Epoch[022] Batch [1299]/[1320] Speed: 251.749299 samples/sec accuracy=65.272837 lr=0.010000 Epoch[022] Batch [1319]/[1320] Speed: 270.954445 samples/sec accuracy=65.266927 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 022] training: accuracy=65.266927 [Epoch 022] speed: 210 samples/sec time cost: 912.329690 [Epoch 022] validation: acc-top1=44.106218 acc-top5=74.919041 wrote 2 events to disk Epoch[023] Batch [0019]/[1320] Speed: 106.093960 samples/sec accuracy=67.734375 lr=0.010000 Epoch[023] Batch [0039]/[1320] Speed: 212.766580 samples/sec accuracy=68.027344 lr=0.010000 Epoch[023] Batch [0059]/[1320] Speed: 223.554852 samples/sec accuracy=67.304688 lr=0.010000 Epoch[023] Batch [0079]/[1320] Speed: 218.924199 samples/sec accuracy=67.460938 lr=0.010000 Epoch[023] Batch [0099]/[1320] Speed: 200.963548 samples/sec accuracy=67.656250 lr=0.010000 Epoch[023] Batch [0119]/[1320] Speed: 229.425827 samples/sec accuracy=67.584635 lr=0.010000 Epoch[023] Batch [0139]/[1320] Speed: 201.613272 samples/sec accuracy=67.516741 lr=0.010000 Epoch[023] Batch [0159]/[1320] Speed: 217.322212 samples/sec accuracy=67.382812 lr=0.010000 Epoch[023] Batch [0179]/[1320] Speed: 209.578295 samples/sec accuracy=67.282986 lr=0.010000 Epoch[023] Batch [0199]/[1320] Speed: 193.347538 samples/sec accuracy=67.234375 lr=0.010000 Epoch[023] Batch [0219]/[1320] Speed: 245.585910 samples/sec accuracy=67.173295 lr=0.010000 Epoch[023] Batch [0239]/[1320] Speed: 196.810631 samples/sec accuracy=67.223307 lr=0.010000 Epoch[023] Batch [0259]/[1320] Speed: 236.002427 samples/sec accuracy=67.163462 lr=0.010000 Epoch[023] Batch [0279]/[1320] Speed: 196.667315 samples/sec accuracy=67.181920 lr=0.010000 Epoch[023] Batch [0299]/[1320] Speed: 235.182312 samples/sec accuracy=67.054688 lr=0.010000 Epoch[023] Batch [0319]/[1320] Speed: 201.503159 samples/sec accuracy=67.045898 lr=0.010000 Epoch[023] Batch [0339]/[1320] Speed: 204.690964 samples/sec accuracy=67.109375 lr=0.010000 Epoch[023] Batch [0359]/[1320] Speed: 237.951042 samples/sec accuracy=67.005208 lr=0.010000 Epoch[023] Batch [0379]/[1320] Speed: 206.093865 samples/sec accuracy=66.946957 lr=0.010000 Epoch[023] Batch [0399]/[1320] Speed: 221.936332 samples/sec accuracy=67.023438 lr=0.010000 Epoch[023] Batch [0419]/[1320] Speed: 203.486942 samples/sec accuracy=66.969866 lr=0.010000 Epoch[023] Batch [0439]/[1320] Speed: 230.013890 samples/sec accuracy=66.844815 lr=0.010000 Epoch[023] Batch [0459]/[1320] Speed: 206.746812 samples/sec accuracy=66.779891 lr=0.010000 Epoch[023] Batch [0479]/[1320] Speed: 207.617882 samples/sec accuracy=66.795247 lr=0.010000 Epoch[023] Batch [0499]/[1320] Speed: 206.507827 samples/sec accuracy=66.725000 lr=0.010000 Epoch[023] Batch [0519]/[1320] Speed: 239.949696 samples/sec accuracy=66.694712 lr=0.010000 Epoch[023] Batch [0539]/[1320] Speed: 201.790216 samples/sec accuracy=66.633391 lr=0.010000 Epoch[023] Batch [0559]/[1320] Speed: 230.237032 samples/sec accuracy=66.595982 lr=0.010000 Epoch[023] Batch [0579]/[1320] Speed: 187.117557 samples/sec accuracy=66.623114 lr=0.010000 Epoch[023] Batch [0599]/[1320] Speed: 231.159402 samples/sec accuracy=66.625000 lr=0.010000 Epoch[023] Batch [0619]/[1320] Speed: 205.894312 samples/sec accuracy=66.566280 lr=0.010000 Epoch[023] Batch [0639]/[1320] Speed: 211.636345 samples/sec accuracy=66.567383 lr=0.010000 Epoch[023] Batch [0659]/[1320] Speed: 232.730799 samples/sec accuracy=66.528172 lr=0.010000 Epoch[023] Batch [0679]/[1320] Speed: 196.890391 samples/sec accuracy=66.468290 lr=0.010000 Epoch[023] Batch [0699]/[1320] Speed: 240.002718 samples/sec accuracy=66.443080 lr=0.010000 Epoch[023] Batch [0719]/[1320] Speed: 195.139481 samples/sec accuracy=66.395399 lr=0.010000 Epoch[023] Batch [0739]/[1320] Speed: 225.204379 samples/sec accuracy=66.372466 lr=0.010000 Epoch[023] Batch [0759]/[1320] Speed: 207.696279 samples/sec accuracy=66.344572 lr=0.010000 Epoch[023] Batch [0779]/[1320] Speed: 221.469143 samples/sec accuracy=66.308093 lr=0.010000 Epoch[023] Batch [0799]/[1320] Speed: 212.300502 samples/sec accuracy=66.290039 lr=0.010000 Epoch[023] Batch [0819]/[1320] Speed: 200.767675 samples/sec accuracy=66.251905 lr=0.010000 Epoch[023] Batch [0839]/[1320] Speed: 241.648361 samples/sec accuracy=66.245350 lr=0.010000 Epoch[023] Batch [0859]/[1320] Speed: 185.271790 samples/sec accuracy=66.221839 lr=0.010000 Epoch[023] Batch [0879]/[1320] Speed: 236.101570 samples/sec accuracy=66.194070 lr=0.010000 Epoch[023] Batch [0899]/[1320] Speed: 197.057764 samples/sec accuracy=66.157986 lr=0.010000 Epoch[023] Batch [0919]/[1320] Speed: 233.706445 samples/sec accuracy=66.142154 lr=0.010000 Epoch[023] Batch [0939]/[1320] Speed: 208.349065 samples/sec accuracy=66.161902 lr=0.010000 Epoch[023] Batch [0959]/[1320] Speed: 204.678759 samples/sec accuracy=66.143392 lr=0.010000 Epoch[023] Batch [0979]/[1320] Speed: 228.304710 samples/sec accuracy=66.125638 lr=0.010000 Epoch[023] Batch [0999]/[1320] Speed: 208.362241 samples/sec accuracy=66.076563 lr=0.010000 Epoch[023] Batch [1019]/[1320] Speed: 207.455507 samples/sec accuracy=66.058517 lr=0.010000 Epoch[023] Batch [1039]/[1320] Speed: 208.244740 samples/sec accuracy=66.030649 lr=0.010000 Epoch[023] Batch [1059]/[1320] Speed: 227.190108 samples/sec accuracy=66.029629 lr=0.010000 Epoch[023] Batch [1079]/[1320] Speed: 214.799822 samples/sec accuracy=66.006221 lr=0.010000 Epoch[023] Batch [1099]/[1320] Speed: 213.580868 samples/sec accuracy=65.968040 lr=0.010000 Epoch[023] Batch [1119]/[1320] Speed: 209.484893 samples/sec accuracy=65.959124 lr=0.010000 Epoch[023] Batch [1139]/[1320] Speed: 206.800046 samples/sec accuracy=65.930647 lr=0.010000 Epoch[023] Batch [1159]/[1320] Speed: 230.100668 samples/sec accuracy=65.928745 lr=0.010000 Epoch[023] Batch [1179]/[1320] Speed: 189.334262 samples/sec accuracy=65.914989 lr=0.010000 Epoch[023] Batch [1199]/[1320] Speed: 234.455749 samples/sec accuracy=65.888021 lr=0.010000 Epoch[023] Batch [1219]/[1320] Speed: 202.351712 samples/sec accuracy=65.868981 lr=0.010000 Epoch[023] Batch [1239]/[1320] Speed: 231.010974 samples/sec accuracy=65.832913 lr=0.010000 Epoch[023] Batch [1259]/[1320] Speed: 196.050421 samples/sec accuracy=65.809772 lr=0.010000 Epoch[023] Batch [1279]/[1320] Speed: 231.882056 samples/sec accuracy=65.805664 lr=0.010000 Epoch[023] Batch [1299]/[1320] Speed: 197.311389 samples/sec accuracy=65.811899 lr=0.010000 Epoch[023] Batch [1319]/[1320] Speed: 309.457810 samples/sec accuracy=65.841027 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 023] training: accuracy=65.841027 [Epoch 023] speed: 210 samples/sec time cost: 910.232989 [Epoch 023] validation: acc-top1=43.689281 acc-top5=74.522345 wrote 2 events to disk Epoch[024] Batch [0019]/[1319] Speed: 104.775520 samples/sec accuracy=66.796875 lr=0.010000 Epoch[024] Batch [0039]/[1319] Speed: 224.077135 samples/sec accuracy=67.265625 lr=0.010000 Epoch[024] Batch [0059]/[1319] Speed: 206.341318 samples/sec accuracy=67.760417 lr=0.010000 Epoch[024] Batch 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Epoch[024] Batch [0299]/[1319] Speed: 195.214066 samples/sec accuracy=67.723958 lr=0.010000 Epoch[024] Batch [0319]/[1319] Speed: 242.733943 samples/sec accuracy=67.626953 lr=0.010000 Epoch[024] Batch [0339]/[1319] Speed: 197.016574 samples/sec accuracy=67.596507 lr=0.010000 Epoch[024] Batch [0359]/[1319] Speed: 233.791216 samples/sec accuracy=67.486979 lr=0.010000 Epoch[024] Batch [0379]/[1319] Speed: 207.887475 samples/sec accuracy=67.450658 lr=0.010000 Epoch[024] Batch [0399]/[1319] Speed: 199.836330 samples/sec accuracy=67.388672 lr=0.010000 Epoch[024] Batch [0419]/[1319] Speed: 230.623772 samples/sec accuracy=67.442336 lr=0.010000 Epoch[024] Batch [0439]/[1319] Speed: 203.953715 samples/sec accuracy=67.430753 lr=0.010000 Epoch[024] Batch [0459]/[1319] Speed: 234.002202 samples/sec accuracy=67.469429 lr=0.010000 Epoch[024] Batch [0479]/[1319] Speed: 209.024269 samples/sec accuracy=67.460938 lr=0.010000 Epoch[024] Batch [0499]/[1319] Speed: 208.191975 samples/sec accuracy=67.445312 lr=0.010000 Epoch[024] Batch [0519]/[1319] Speed: 235.426526 samples/sec accuracy=67.403846 lr=0.010000 Epoch[024] Batch [0539]/[1319] Speed: 191.574471 samples/sec accuracy=67.362558 lr=0.010000 Epoch[024] Batch [0559]/[1319] Speed: 238.953435 samples/sec accuracy=67.276786 lr=0.010000 Epoch[024] Batch [0579]/[1319] Speed: 196.080938 samples/sec accuracy=67.233297 lr=0.010000 Epoch[024] Batch [0599]/[1319] Speed: 249.072654 samples/sec accuracy=67.251302 lr=0.010000 Epoch[024] Batch [0619]/[1319] Speed: 203.494369 samples/sec accuracy=67.273185 lr=0.010000 Epoch[024] Batch [0639]/[1319] Speed: 202.704288 samples/sec accuracy=67.226562 lr=0.010000 Epoch[024] Batch [0659]/[1319] Speed: 224.794512 samples/sec accuracy=67.141335 lr=0.010000 Epoch[024] Batch [0679]/[1319] Speed: 212.589497 samples/sec accuracy=67.116268 lr=0.010000 Epoch[024] Batch [0699]/[1319] Speed: 212.860978 samples/sec accuracy=67.117188 lr=0.010000 Epoch[024] Batch [0719]/[1319] Speed: 222.743170 samples/sec accuracy=67.090929 lr=0.010000 Epoch[024] Batch [0739]/[1319] Speed: 205.101995 samples/sec accuracy=67.032306 lr=0.010000 Epoch[024] Batch [0759]/[1319] Speed: 230.699441 samples/sec accuracy=67.013775 lr=0.010000 Epoch[024] Batch [0779]/[1319] Speed: 206.161194 samples/sec accuracy=66.998197 lr=0.010000 Epoch[024] Batch [0799]/[1319] Speed: 219.100395 samples/sec accuracy=67.017578 lr=0.010000 Epoch[024] Batch [0819]/[1319] Speed: 222.125361 samples/sec accuracy=66.977896 lr=0.010000 Epoch[024] Batch [0839]/[1319] Speed: 205.458387 samples/sec accuracy=66.985677 lr=0.010000 Epoch[024] Batch [0859]/[1319] Speed: 219.899470 samples/sec accuracy=67.005814 lr=0.010000 Epoch[024] Batch [0879]/[1319] Speed: 214.375814 samples/sec accuracy=66.968217 lr=0.010000 Epoch[024] Batch [0899]/[1319] Speed: 213.694811 samples/sec accuracy=66.949653 lr=0.010000 Epoch[024] Batch [0919]/[1319] Speed: 204.077744 samples/sec accuracy=66.931046 lr=0.010000 Epoch[024] Batch [0939]/[1319] Speed: 238.235735 samples/sec accuracy=66.887467 lr=0.010000 Epoch[024] Batch [0959]/[1319] Speed: 197.795375 samples/sec accuracy=66.861165 lr=0.010000 Epoch[024] Batch [0979]/[1319] Speed: 243.410049 samples/sec accuracy=66.888552 lr=0.010000 Epoch[024] Batch [0999]/[1319] Speed: 196.746436 samples/sec accuracy=66.842969 lr=0.010000 Epoch[024] Batch [1019]/[1319] Speed: 232.723994 samples/sec accuracy=66.825214 lr=0.010000 Epoch[024] Batch [1039]/[1319] Speed: 208.855092 samples/sec accuracy=66.808143 lr=0.010000 Epoch[024] Batch [1059]/[1319] Speed: 208.286521 samples/sec accuracy=66.756338 lr=0.010000 Epoch[024] Batch [1079]/[1319] Speed: 227.324776 samples/sec accuracy=66.743345 lr=0.010000 Epoch[024] Batch [1099]/[1319] Speed: 211.310383 samples/sec accuracy=66.715909 lr=0.010000 Epoch[024] Batch [1119]/[1319] Speed: 219.876807 samples/sec accuracy=66.692243 lr=0.010000 Epoch[024] Batch [1139]/[1319] Speed: 207.029278 samples/sec accuracy=66.657758 lr=0.010000 Epoch[024] Batch [1159]/[1319] Speed: 205.754845 samples/sec accuracy=66.637258 lr=0.010000 Epoch[024] Batch [1179]/[1319] Speed: 224.226813 samples/sec accuracy=66.606859 lr=0.010000 Epoch[024] Batch [1199]/[1319] Speed: 221.088388 samples/sec accuracy=66.593099 lr=0.010000 Epoch[024] Batch [1219]/[1319] Speed: 202.354336 samples/sec accuracy=66.577228 lr=0.010000 Epoch[024] Batch [1239]/[1319] Speed: 228.329315 samples/sec accuracy=66.559350 lr=0.010000 Epoch[024] Batch [1259]/[1319] Speed: 213.661937 samples/sec accuracy=66.535218 lr=0.010000 Epoch[024] Batch [1279]/[1319] Speed: 202.570251 samples/sec accuracy=66.529541 lr=0.010000 Epoch[024] Batch [1299]/[1319] Speed: 265.008858 samples/sec accuracy=66.513221 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 024] training: accuracy=66.520565 [Epoch 024] speed: 212 samples/sec time cost: 904.423938 [Epoch 024] validation: acc-top1=43.705473 acc-top5=74.882610 wrote 2 events to disk Epoch[025] Batch [0019]/[1320] Speed: 101.662777 samples/sec accuracy=68.828125 lr=0.010000 Epoch[025] Batch [0039]/[1320] Speed: 223.060449 samples/sec accuracy=69.062500 lr=0.010000 Epoch[025] Batch [0059]/[1320] Speed: 225.098846 samples/sec accuracy=69.309896 lr=0.010000 Epoch[025] Batch [0079]/[1320] Speed: 213.944268 samples/sec accuracy=68.632812 lr=0.010000 Epoch[025] Batch [0099]/[1320] Speed: 197.696034 samples/sec accuracy=68.835938 lr=0.010000 Epoch[025] Batch [0119]/[1320] Speed: 221.740041 samples/sec accuracy=68.417969 lr=0.010000 Epoch[025] Batch [0139]/[1320] Speed: 214.698426 samples/sec accuracy=68.549107 lr=0.010000 Epoch[025] Batch [0159]/[1320] Speed: 207.545920 samples/sec accuracy=68.457031 lr=0.010000 Epoch[025] Batch [0179]/[1320] Speed: 233.869115 samples/sec accuracy=68.255208 lr=0.010000 Epoch[025] 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Epoch[025] Batch [0419]/[1320] Speed: 225.181142 samples/sec accuracy=67.872024 lr=0.010000 Epoch[025] Batch [0439]/[1320] Speed: 212.489571 samples/sec accuracy=67.768111 lr=0.010000 Epoch[025] Batch [0459]/[1320] Speed: 222.674291 samples/sec accuracy=67.734375 lr=0.010000 Epoch[025] Batch [0479]/[1320] Speed: 202.568187 samples/sec accuracy=67.649740 lr=0.010000 Epoch[025] Batch [0499]/[1320] Speed: 207.662348 samples/sec accuracy=67.600000 lr=0.010000 Epoch[025] Batch [0519]/[1320] Speed: 223.619526 samples/sec accuracy=67.600661 lr=0.010000 Epoch[025] Batch [0539]/[1320] Speed: 218.461014 samples/sec accuracy=67.585359 lr=0.010000 Epoch[025] Batch [0559]/[1320] Speed: 214.760963 samples/sec accuracy=67.562779 lr=0.010000 Epoch[025] Batch [0579]/[1320] Speed: 201.885960 samples/sec accuracy=67.557920 lr=0.010000 Epoch[025] Batch [0599]/[1320] Speed: 230.857232 samples/sec accuracy=67.540365 lr=0.010000 Epoch[025] Batch [0619]/[1320] Speed: 208.401780 samples/sec accuracy=67.489919 lr=0.010000 Epoch[025] Batch [0639]/[1320] Speed: 212.844015 samples/sec accuracy=67.462158 lr=0.010000 Epoch[025] Batch [0659]/[1320] Speed: 222.075079 samples/sec accuracy=67.486979 lr=0.010000 Epoch[025] Batch [0679]/[1320] Speed: 216.294538 samples/sec accuracy=67.480469 lr=0.010000 Epoch[025] Batch [0699]/[1320] Speed: 210.758765 samples/sec accuracy=67.443080 lr=0.010000 Epoch[025] Batch [0719]/[1320] Speed: 214.827254 samples/sec accuracy=67.460938 lr=0.010000 Epoch[025] Batch [0739]/[1320] Speed: 216.657980 samples/sec accuracy=67.463049 lr=0.010000 Epoch[025] Batch [0759]/[1320] Speed: 220.536029 samples/sec accuracy=67.432155 lr=0.010000 Epoch[025] Batch [0779]/[1320] Speed: 189.824086 samples/sec accuracy=67.441907 lr=0.010000 Epoch[025] Batch [0799]/[1320] Speed: 243.113848 samples/sec accuracy=67.399414 lr=0.010000 Epoch[025] Batch [0819]/[1320] Speed: 203.672469 samples/sec accuracy=67.396151 lr=0.010000 Epoch[025] Batch [0839]/[1320] Speed: 233.886792 samples/sec accuracy=67.395833 lr=0.010000 Epoch[025] Batch [0859]/[1320] Speed: 200.681784 samples/sec accuracy=67.345567 lr=0.010000 Epoch[025] Batch [0879]/[1320] Speed: 231.622429 samples/sec accuracy=67.341087 lr=0.010000 Epoch[025] Batch [0899]/[1320] Speed: 204.396504 samples/sec accuracy=67.315972 lr=0.010000 Epoch[025] Batch [0919]/[1320] Speed: 233.155674 samples/sec accuracy=67.319973 lr=0.010000 Epoch[025] Batch [0939]/[1320] Speed: 219.210455 samples/sec accuracy=67.330452 lr=0.010000 Epoch[025] Batch [0959]/[1320] Speed: 204.173264 samples/sec accuracy=67.332357 lr=0.010000 Epoch[025] Batch [0979]/[1320] Speed: 233.429798 samples/sec accuracy=67.340561 lr=0.010000 Epoch[025] Batch [0999]/[1320] Speed: 190.311912 samples/sec accuracy=67.325781 lr=0.010000 Epoch[025] Batch [1019]/[1320] Speed: 234.881547 samples/sec accuracy=67.316942 lr=0.010000 Epoch[025] Batch [1039]/[1320] Speed: 202.745503 samples/sec accuracy=67.294171 lr=0.010000 Epoch[025] Batch [1059]/[1320] Speed: 222.183114 samples/sec accuracy=67.274469 lr=0.010000 Epoch[025] Batch [1079]/[1320] Speed: 205.164530 samples/sec accuracy=67.271412 lr=0.010000 Epoch[025] Batch [1099]/[1320] Speed: 225.904016 samples/sec accuracy=67.232955 lr=0.010000 Epoch[025] Batch [1119]/[1320] Speed: 212.783939 samples/sec accuracy=67.243304 lr=0.010000 Epoch[025] Batch [1139]/[1320] Speed: 200.661693 samples/sec accuracy=67.203947 lr=0.010000 Epoch[025] Batch [1159]/[1320] Speed: 232.644007 samples/sec accuracy=67.174030 lr=0.010000 Epoch[025] Batch [1179]/[1320] Speed: 202.694519 samples/sec accuracy=67.170286 lr=0.010000 Epoch[025] Batch [1199]/[1320] Speed: 238.270902 samples/sec accuracy=67.160807 lr=0.010000 Epoch[025] Batch [1219]/[1320] Speed: 199.593676 samples/sec accuracy=67.163166 lr=0.010000 Epoch[025] Batch [1239]/[1320] Speed: 228.076983 samples/sec accuracy=67.171749 lr=0.010000 Epoch[025] Batch [1259]/[1320] Speed: 205.263696 samples/sec accuracy=67.162078 lr=0.010000 Epoch[025] Batch [1279]/[1320] Speed: 220.813075 samples/sec accuracy=67.141113 lr=0.010000 Epoch[025] Batch [1299]/[1320] Speed: 207.165307 samples/sec accuracy=67.123197 lr=0.010000 Epoch[025] Batch [1319]/[1320] Speed: 326.612449 samples/sec accuracy=67.119437 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 025] training: accuracy=67.119437 [Epoch 025] speed: 212 samples/sec time cost: 906.113667 [Epoch 025] validation: acc-top1=43.818815 acc-top5=74.574968 wrote 2 events to disk Epoch[026] Batch [0019]/[1320] Speed: 108.487595 samples/sec accuracy=68.359375 lr=0.010000 Epoch[026] Batch [0039]/[1320] Speed: 214.812783 samples/sec accuracy=68.554688 lr=0.010000 Epoch[026] Batch [0059]/[1320] Speed: 229.696312 samples/sec accuracy=68.320312 lr=0.010000 Epoch[026] Batch 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Epoch[026] Batch [0299]/[1320] Speed: 222.836704 samples/sec accuracy=68.541667 lr=0.010000 Epoch[026] Batch [0319]/[1320] Speed: 205.566920 samples/sec accuracy=68.388672 lr=0.010000 Epoch[026] Batch [0339]/[1320] Speed: 219.634431 samples/sec accuracy=68.391544 lr=0.010000 Epoch[026] Batch [0359]/[1320] Speed: 220.317303 samples/sec accuracy=68.370226 lr=0.010000 Epoch[026] Batch [0379]/[1320] Speed: 210.535685 samples/sec accuracy=68.377878 lr=0.010000 Epoch[026] Batch [0399]/[1320] Speed: 218.977691 samples/sec accuracy=68.283203 lr=0.010000 Epoch[026] Batch [0419]/[1320] Speed: 207.860544 samples/sec accuracy=68.203125 lr=0.010000 Epoch[026] Batch [0439]/[1320] Speed: 211.935226 samples/sec accuracy=68.252841 lr=0.010000 Epoch[026] Batch [0459]/[1320] Speed: 208.561561 samples/sec accuracy=68.223505 lr=0.010000 Epoch[026] Batch [0479]/[1320] Speed: 222.113157 samples/sec accuracy=68.227539 lr=0.010000 Epoch[026] Batch [0499]/[1320] Speed: 207.201958 samples/sec accuracy=68.192188 lr=0.010000 Epoch[026] Batch [0519]/[1320] Speed: 224.413500 samples/sec accuracy=68.186599 lr=0.010000 Epoch[026] Batch [0539]/[1320] Speed: 205.354654 samples/sec accuracy=68.182870 lr=0.010000 Epoch[026] Batch [0559]/[1320] Speed: 221.739858 samples/sec accuracy=68.226842 lr=0.010000 Epoch[026] Batch [0579]/[1320] Speed: 199.242944 samples/sec accuracy=68.197737 lr=0.010000 Epoch[026] Batch [0599]/[1320] Speed: 221.174706 samples/sec accuracy=68.177083 lr=0.010000 Epoch[026] Batch [0619]/[1320] Speed: 201.840928 samples/sec accuracy=68.117440 lr=0.010000 Epoch[026] Batch [0639]/[1320] Speed: 231.832165 samples/sec accuracy=68.077393 lr=0.010000 Epoch[026] Batch [0659]/[1320] Speed: 210.212365 samples/sec accuracy=68.001894 lr=0.010000 Epoch[026] Batch [0679]/[1320] Speed: 234.496901 samples/sec accuracy=67.996324 lr=0.010000 Epoch[026] Batch [0699]/[1320] Speed: 205.174567 samples/sec accuracy=67.985491 lr=0.010000 Epoch[026] Batch [0719]/[1320] Speed: 200.638480 samples/sec accuracy=67.980686 lr=0.010000 Epoch[026] Batch [0739]/[1320] Speed: 225.363400 samples/sec accuracy=67.970861 lr=0.010000 Epoch[026] Batch [0759]/[1320] Speed: 207.740802 samples/sec accuracy=67.978002 lr=0.010000 Epoch[026] Batch [0779]/[1320] Speed: 229.990823 samples/sec accuracy=67.969752 lr=0.010000 Epoch[026] Batch [0799]/[1320] Speed: 205.820304 samples/sec accuracy=67.916992 lr=0.010000 Epoch[026] Batch [0819]/[1320] Speed: 215.916998 samples/sec accuracy=67.918255 lr=0.010000 Epoch[026] Batch [0839]/[1320] Speed: 213.274637 samples/sec accuracy=67.884115 lr=0.010000 Epoch[026] Batch [0859]/[1320] Speed: 211.621863 samples/sec accuracy=67.868823 lr=0.010000 Epoch[026] Batch [0879]/[1320] Speed: 232.663067 samples/sec accuracy=67.849787 lr=0.010000 Epoch[026] Batch [0899]/[1320] Speed: 203.934548 samples/sec accuracy=67.844618 lr=0.010000 Epoch[026] Batch [0919]/[1320] Speed: 212.941298 samples/sec accuracy=67.806556 lr=0.010000 Epoch[026] Batch [0939]/[1320] Speed: 228.782365 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230.171079 samples/sec accuracy=67.673087 lr=0.010000 Epoch[026] Batch [1179]/[1320] Speed: 199.787360 samples/sec accuracy=67.664857 lr=0.010000 Epoch[026] Batch [1199]/[1320] Speed: 235.225579 samples/sec accuracy=67.652995 lr=0.010000 Epoch[026] Batch [1219]/[1320] Speed: 198.339672 samples/sec accuracy=67.632556 lr=0.010000 Epoch[026] Batch [1239]/[1320] Speed: 228.741839 samples/sec accuracy=67.637979 lr=0.010000 Epoch[026] Batch [1259]/[1320] Speed: 214.026010 samples/sec accuracy=67.614087 lr=0.010000 Epoch[026] Batch [1279]/[1320] Speed: 202.990194 samples/sec accuracy=67.600708 lr=0.010000 Epoch[026] Batch [1299]/[1320] Speed: 246.054482 samples/sec accuracy=67.591947 lr=0.010000 Epoch[026] Batch [1319]/[1320] Speed: 259.510488 samples/sec accuracy=67.594105 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 026] training: accuracy=67.594105 [Epoch 026] speed: 212 samples/sec time cost: 905.403500 [Epoch 026] validation: acc-top1=43.163051 acc-top5=74.255181 wrote 2 events to disk Epoch[027] Batch [0019]/[1319] Speed: 104.093864 samples/sec accuracy=70.976562 lr=0.010000 Epoch[027] Batch [0039]/[1319] Speed: 211.520028 samples/sec accuracy=70.859375 lr=0.010000 Epoch[027] Batch [0059]/[1319] Speed: 222.492644 samples/sec accuracy=70.768229 lr=0.010000 Epoch[027] Batch [0079]/[1319] Speed: 219.103382 samples/sec accuracy=70.546875 lr=0.010000 Epoch[027] Batch [0099]/[1319] Speed: 222.121979 samples/sec accuracy=70.484375 lr=0.010000 Epoch[027] Batch [0119]/[1319] Speed: 221.648266 samples/sec accuracy=70.520833 lr=0.010000 Epoch[027] Batch [0139]/[1319] Speed: 200.250273 samples/sec accuracy=70.407366 lr=0.010000 Epoch[027] Batch [0159]/[1319] Speed: 236.482486 samples/sec accuracy=70.087891 lr=0.010000 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lr=0.010000 Epoch[027] Batch [0399]/[1319] Speed: 203.655923 samples/sec accuracy=69.427734 lr=0.010000 Epoch[027] Batch [0419]/[1319] Speed: 232.667816 samples/sec accuracy=69.404762 lr=0.010000 Epoch[027] Batch [0439]/[1319] Speed: 206.012061 samples/sec accuracy=69.392756 lr=0.010000 Epoch[027] Batch [0459]/[1319] Speed: 204.454039 samples/sec accuracy=69.291780 lr=0.010000 Epoch[027] Batch [0479]/[1319] Speed: 216.206718 samples/sec accuracy=69.222005 lr=0.010000 Epoch[027] Batch [0499]/[1319] Speed: 236.111466 samples/sec accuracy=69.201563 lr=0.010000 Epoch[027] Batch [0519]/[1319] Speed: 205.046167 samples/sec accuracy=69.140625 lr=0.010000 Epoch[027] Batch [0539]/[1319] Speed: 211.808037 samples/sec accuracy=69.120370 lr=0.010000 Epoch[027] Batch [0559]/[1319] Speed: 213.221304 samples/sec accuracy=69.042969 lr=0.010000 Epoch[027] Batch [0579]/[1319] Speed: 220.343539 samples/sec accuracy=68.958782 lr=0.010000 Epoch[027] Batch [0599]/[1319] Speed: 210.084744 samples/sec accuracy=68.932292 lr=0.010000 Epoch[027] Batch [0619]/[1319] Speed: 215.695609 samples/sec accuracy=68.901210 lr=0.010000 Epoch[027] Batch [0639]/[1319] Speed: 222.236623 samples/sec accuracy=68.872070 lr=0.010000 Epoch[027] Batch [0659]/[1319] Speed: 202.501969 samples/sec accuracy=68.850616 lr=0.010000 Epoch[027] Batch [0679]/[1319] Speed: 236.216947 samples/sec accuracy=68.814338 lr=0.010000 Epoch[027] Batch [0699]/[1319] Speed: 194.119482 samples/sec accuracy=68.823661 lr=0.010000 Epoch[027] Batch [0719]/[1319] Speed: 225.692624 samples/sec accuracy=68.805339 lr=0.010000 Epoch[027] Batch [0739]/[1319] Speed: 213.683099 samples/sec accuracy=68.783784 lr=0.010000 Epoch[027] Batch [0759]/[1319] Speed: 214.545744 samples/sec accuracy=68.794202 lr=0.010000 Epoch[027] Batch [0779]/[1319] Speed: 215.938970 samples/sec accuracy=68.724960 lr=0.010000 Epoch[027] Batch [0799]/[1319] Speed: 222.368253 samples/sec accuracy=68.698242 lr=0.010000 Epoch[027] Batch [0819]/[1319] Speed: 207.638699 samples/sec accuracy=68.714748 lr=0.010000 Epoch[027] Batch [0839]/[1319] Speed: 223.477410 samples/sec accuracy=68.704427 lr=0.010000 Epoch[027] Batch [0859]/[1319] Speed: 216.935053 samples/sec accuracy=68.720930 lr=0.010000 Epoch[027] Batch [0879]/[1319] Speed: 205.475644 samples/sec accuracy=68.720703 lr=0.010000 Epoch[027] Batch [0899]/[1319] Speed: 217.599735 samples/sec accuracy=68.737847 lr=0.010000 Epoch[027] Batch [0919]/[1319] Speed: 225.740377 samples/sec accuracy=68.716882 lr=0.010000 Epoch[027] Batch [0939]/[1319] Speed: 204.830934 samples/sec accuracy=68.698471 lr=0.010000 Epoch[027] Batch [0959]/[1319] Speed: 232.216608 samples/sec accuracy=68.681641 lr=0.010000 Epoch[027] Batch [0979]/[1319] Speed: 205.870232 samples/sec accuracy=68.664700 lr=0.010000 Epoch[027] Batch [0999]/[1319] Speed: 217.457194 samples/sec accuracy=68.631250 lr=0.010000 Epoch[027] Batch [1019]/[1319] Speed: 211.842713 samples/sec accuracy=68.601409 lr=0.010000 Epoch[027] Batch [1039]/[1319] Speed: 222.214156 samples/sec accuracy=68.580980 lr=0.010000 Epoch[027] Batch [1059]/[1319] Speed: 202.029698 samples/sec accuracy=68.562058 lr=0.010000 Epoch[027] Batch [1079]/[1319] Speed: 208.426578 samples/sec accuracy=68.531539 lr=0.010000 Epoch[027] Batch [1099]/[1319] Speed: 227.940102 samples/sec accuracy=68.499290 lr=0.010000 Epoch[027] Batch [1119]/[1319] Speed: 215.602565 samples/sec accuracy=68.480050 lr=0.010000 Epoch[027] Batch [1139]/[1319] Speed: 218.885913 samples/sec accuracy=68.433388 lr=0.010000 Epoch[027] Batch [1159]/[1319] Speed: 210.345621 samples/sec accuracy=68.422010 lr=0.010000 Epoch[027] Batch [1179]/[1319] Speed: 215.216383 samples/sec accuracy=68.399100 lr=0.010000 Epoch[027] Batch [1199]/[1319] Speed: 206.090337 samples/sec accuracy=68.399089 lr=0.010000 Epoch[027] Batch [1219]/[1319] Speed: 232.713750 samples/sec accuracy=68.392034 lr=0.010000 Epoch[027] Batch [1239]/[1319] Speed: 222.548531 samples/sec accuracy=68.372606 lr=0.010000 Epoch[027] Batch [1259]/[1319] Speed: 205.292133 samples/sec accuracy=68.349454 lr=0.010000 Epoch[027] Batch [1279]/[1319] Speed: 215.425507 samples/sec accuracy=68.317871 lr=0.010000 Epoch[027] Batch [1299]/[1319] Speed: 224.114121 samples/sec accuracy=68.284856 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 027] training: accuracy=68.283264 [Epoch 027] speed: 212 samples/sec time cost: 904.834553 [Epoch 027] validation: acc-top1=43.543556 acc-top5=74.153983 wrote 2 events to disk Epoch[028] Batch [0019]/[1320] Speed: 108.058918 samples/sec accuracy=68.632812 lr=0.010000 Epoch[028] Batch [0039]/[1320] Speed: 209.109029 samples/sec accuracy=69.824219 lr=0.010000 Epoch[028] Batch [0059]/[1320] Speed: 233.715530 samples/sec accuracy=69.557292 lr=0.010000 Epoch[028] Batch [0079]/[1320] Speed: 219.219227 samples/sec accuracy=69.492188 lr=0.010000 Epoch[028] Batch [0099]/[1320] Speed: 216.049327 samples/sec accuracy=69.914062 lr=0.010000 Epoch[028] Batch [0119]/[1320] Speed: 219.056242 samples/sec accuracy=70.065104 lr=0.010000 Epoch[028] Batch [0139]/[1320] Speed: 197.523131 samples/sec accuracy=70.050223 lr=0.010000 Epoch[028] Batch [0159]/[1320] Speed: 236.963216 samples/sec accuracy=69.916992 lr=0.010000 Epoch[028] Batch [0179]/[1320] Speed: 202.698529 samples/sec accuracy=69.887153 lr=0.010000 Epoch[028] Batch [0199]/[1320] Speed: 204.315407 samples/sec accuracy=69.945312 lr=0.010000 Epoch[028] Batch [0219]/[1320] Speed: 231.015710 samples/sec accuracy=69.992898 lr=0.010000 Epoch[028] Batch [0239]/[1320] Speed: 195.954988 samples/sec accuracy=69.902344 lr=0.010000 Epoch[028] Batch [0259]/[1320] Speed: 233.755949 samples/sec accuracy=69.921875 lr=0.010000 Epoch[028] Batch [0279]/[1320] Speed: 206.024026 samples/sec accuracy=69.946987 lr=0.010000 Epoch[028] Batch [0299]/[1320] Speed: 225.536701 samples/sec accuracy=69.945312 lr=0.010000 Epoch[028] Batch [0319]/[1320] Speed: 204.219801 samples/sec accuracy=69.765625 lr=0.010000 Epoch[028] Batch [0339]/[1320] Speed: 199.320736 samples/sec accuracy=69.708180 lr=0.010000 Epoch[028] Batch [0359]/[1320] Speed: 240.703711 samples/sec accuracy=69.737413 lr=0.010000 Epoch[028] Batch [0379]/[1320] Speed: 189.360486 samples/sec accuracy=69.780016 lr=0.010000 Epoch[028] Batch [0399]/[1320] Speed: 246.545852 samples/sec accuracy=69.794922 lr=0.010000 Epoch[028] Batch [0419]/[1320] Speed: 182.154242 samples/sec accuracy=69.810268 lr=0.010000 Epoch[028] Batch [0439]/[1320] Speed: 257.517147 samples/sec accuracy=69.774503 lr=0.010000 Epoch[028] Batch [0459]/[1320] Speed: 204.414629 samples/sec accuracy=69.791101 lr=0.010000 Epoch[028] Batch [0479]/[1320] Speed: 222.772566 samples/sec accuracy=69.793294 lr=0.010000 Epoch[028] Batch [0499]/[1320] Speed: 227.390268 samples/sec accuracy=69.740625 lr=0.010000 Epoch[028] Batch [0519]/[1320] Speed: 204.075626 samples/sec accuracy=69.692007 lr=0.010000 Epoch[028] Batch [0539]/[1320] Speed: 208.279734 samples/sec accuracy=69.674479 lr=0.010000 Epoch[028] Batch [0559]/[1320] Speed: 235.492623 samples/sec accuracy=69.708426 lr=0.010000 Epoch[028] Batch [0579]/[1320] Speed: 211.462337 samples/sec accuracy=69.692888 lr=0.010000 Epoch[028] Batch [0599]/[1320] Speed: 216.346861 samples/sec accuracy=69.617188 lr=0.010000 Epoch[028] Batch [0619]/[1320] Speed: 221.674574 samples/sec accuracy=69.574093 lr=0.010000 Epoch[028] Batch [0639]/[1320] Speed: 208.132559 samples/sec accuracy=69.530029 lr=0.010000 Epoch[028] Batch [0659]/[1320] Speed: 210.745689 samples/sec accuracy=69.501657 lr=0.010000 Epoch[028] Batch [0679]/[1320] Speed: 217.080675 samples/sec accuracy=69.474954 lr=0.010000 Epoch[028] Batch [0699]/[1320] Speed: 212.912767 samples/sec accuracy=69.468750 lr=0.010000 Epoch[028] Batch [0719]/[1320] Speed: 205.118726 samples/sec accuracy=69.415148 lr=0.010000 Epoch[028] Batch [0739]/[1320] Speed: 231.701280 samples/sec accuracy=69.381334 lr=0.010000 Epoch[028] Batch [0759]/[1320] Speed: 202.767001 samples/sec accuracy=69.321546 lr=0.010000 Epoch[028] Batch [0779]/[1320] Speed: 234.627688 samples/sec accuracy=69.310897 lr=0.010000 Epoch[028] Batch [0799]/[1320] Speed: 201.068666 samples/sec accuracy=69.291016 lr=0.010000 Epoch[028] Batch [0819]/[1320] Speed: 237.455608 samples/sec accuracy=69.277820 lr=0.010000 Epoch[028] Batch [0839]/[1320] Speed: 199.657148 samples/sec accuracy=69.229911 lr=0.010000 Epoch[028] Batch [0859]/[1320] Speed: 224.897767 samples/sec accuracy=69.206032 lr=0.010000 Epoch[028] Batch [0879]/[1320] Speed: 209.820085 samples/sec accuracy=69.187678 lr=0.010000 Epoch[028] Batch [0899]/[1320] Speed: 225.908555 samples/sec accuracy=69.156250 lr=0.010000 Epoch[028] Batch [0919]/[1320] Speed: 206.939415 samples/sec accuracy=69.121094 lr=0.010000 Epoch[028] Batch [0939]/[1320] Speed: 210.032168 samples/sec accuracy=69.120678 lr=0.010000 Epoch[028] Batch [0959]/[1320] Speed: 223.532466 samples/sec accuracy=69.107259 lr=0.010000 Epoch[028] Batch [0979]/[1320] Speed: 223.702929 samples/sec accuracy=69.068080 lr=0.010000 Epoch[028] Batch [0999]/[1320] Speed: 201.723536 samples/sec accuracy=69.054688 lr=0.010000 Epoch[028] Batch [1019]/[1320] Speed: 243.126063 samples/sec accuracy=69.030331 lr=0.010000 Epoch[028] Batch [1039]/[1320] Speed: 200.078009 samples/sec accuracy=69.019681 lr=0.010000 Epoch[028] Batch [1059]/[1320] Speed: 216.644135 samples/sec accuracy=69.013119 lr=0.010000 Epoch[028] Batch [1079]/[1320] Speed: 220.717996 samples/sec accuracy=68.998843 lr=0.010000 Epoch[028] Batch [1099]/[1320] Speed: 192.710414 samples/sec accuracy=69.022727 lr=0.010000 Epoch[028] Batch [1119]/[1320] Speed: 234.944412 samples/sec accuracy=68.998326 lr=0.010000 Epoch[028] Batch [1139]/[1320] Speed: 212.956261 samples/sec accuracy=68.974781 lr=0.010000 Epoch[028] Batch [1159]/[1320] Speed: 231.233595 samples/sec accuracy=68.936557 lr=0.010000 Epoch[028] Batch [1179]/[1320] Speed: 195.341137 samples/sec accuracy=68.927436 lr=0.010000 Epoch[028] Batch [1199]/[1320] Speed: 239.409064 samples/sec accuracy=68.908854 lr=0.010000 Epoch[028] Batch [1219]/[1320] Speed: 208.340034 samples/sec accuracy=68.876793 lr=0.010000 Epoch[028] Batch [1239]/[1320] Speed: 224.639484 samples/sec accuracy=68.881678 lr=0.010000 Epoch[028] Batch [1259]/[1320] Speed: 200.112680 samples/sec accuracy=68.856027 lr=0.010000 Epoch[028] Batch [1279]/[1320] Speed: 222.113897 samples/sec accuracy=68.840332 lr=0.010000 Epoch[028] Batch [1299]/[1320] Speed: 229.460328 samples/sec accuracy=68.819111 lr=0.010000 Epoch[028] Batch [1319]/[1320] Speed: 301.918191 samples/sec accuracy=68.806226 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 028] training: accuracy=68.806226 [Epoch 028] speed: 213 samples/sec time cost: 903.625702 [Epoch 028] validation: acc-top1=43.790479 acc-top5=74.255181 wrote 2 events to disk Epoch[029] Batch [0019]/[1319] Speed: 105.645171 samples/sec accuracy=70.429688 lr=0.010000 Epoch[029] Batch [0039]/[1319] Speed: 198.733303 samples/sec accuracy=70.664062 lr=0.010000 Epoch[029] Batch [0059]/[1319] Speed: 235.450764 samples/sec accuracy=70.794271 lr=0.010000 Epoch[029] Batch [0079]/[1319] Speed: 212.872249 samples/sec accuracy=70.820312 lr=0.010000 Epoch[029] Batch [0099]/[1319] Speed: 226.164945 samples/sec accuracy=70.820312 lr=0.010000 Epoch[029] Batch [0119]/[1319] Speed: 207.247194 samples/sec accuracy=70.781250 lr=0.010000 Epoch[029] Batch [0139]/[1319] Speed: 205.936076 samples/sec accuracy=70.770089 lr=0.010000 Epoch[029] Batch [0159]/[1319] Speed: 218.678570 samples/sec accuracy=70.429688 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accuracy=70.228207 lr=0.010000 Epoch[029] Batch [0399]/[1319] Speed: 210.049918 samples/sec accuracy=70.158203 lr=0.010000 Epoch[029] Batch [0419]/[1319] Speed: 208.477042 samples/sec accuracy=70.102307 lr=0.010000 Epoch[029] Batch [0439]/[1319] Speed: 217.204175 samples/sec accuracy=70.069247 lr=0.010000 Epoch[029] Batch [0459]/[1319] Speed: 199.234356 samples/sec accuracy=70.050951 lr=0.010000 Epoch[029] Batch [0479]/[1319] Speed: 241.017752 samples/sec accuracy=70.063477 lr=0.010000 Epoch[029] Batch [0499]/[1319] Speed: 183.865477 samples/sec accuracy=69.985937 lr=0.010000 Epoch[029] Batch [0519]/[1319] Speed: 244.625795 samples/sec accuracy=69.971454 lr=0.010000 Epoch[029] Batch [0539]/[1319] Speed: 195.181714 samples/sec accuracy=69.956597 lr=0.010000 Epoch[029] Batch [0559]/[1319] Speed: 237.299365 samples/sec accuracy=69.931641 lr=0.010000 Epoch[029] Batch [0579]/[1319] Speed: 199.643895 samples/sec accuracy=69.913793 lr=0.010000 Epoch[029] Batch [0599]/[1319] Speed: 244.766376 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Epoch[029] Batch [1259]/[1319] Speed: 220.443704 samples/sec accuracy=69.236731 lr=0.010000 Epoch[029] Batch [1279]/[1319] Speed: 221.307553 samples/sec accuracy=69.226074 lr=0.010000 Epoch[029] Batch [1299]/[1319] Speed: 225.129547 samples/sec accuracy=69.216947 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 029] training: accuracy=69.210221 [Epoch 029] speed: 211 samples/sec time cost: 909.185381 [Epoch 029] validation: acc-top1=43.648802 acc-top5=74.449482 wrote 2 events to disk Epoch[030] Batch [0019]/[1320] Speed: 106.063648 samples/sec accuracy=71.250000 lr=0.010000 Epoch[030] Batch [0039]/[1320] Speed: 224.300652 samples/sec accuracy=71.152344 lr=0.010000 Epoch[030] Batch [0059]/[1320] Speed: 210.383179 samples/sec accuracy=71.067708 lr=0.010000 Epoch[030] Batch [0079]/[1320] Speed: 214.112242 samples/sec accuracy=70.830078 lr=0.010000 Epoch[030] Batch [0099]/[1320] Speed: 232.277241 samples/sec accuracy=70.882812 lr=0.010000 Epoch[030] Batch [0119]/[1320] Speed: 206.704867 samples/sec accuracy=70.774740 lr=0.010000 Epoch[030] Batch [0139]/[1320] Speed: 218.731456 samples/sec accuracy=70.887277 lr=0.010000 Epoch[030] Batch [0159]/[1320] Speed: 207.634351 samples/sec accuracy=71.083984 lr=0.010000 Epoch[030] Batch [0179]/[1320] Speed: 208.869877 samples/sec accuracy=71.102431 lr=0.010000 Epoch[030] Batch [0199]/[1320] Speed: 205.394863 samples/sec accuracy=71.039062 lr=0.010000 Epoch[030] Batch [0219]/[1320] Speed: 231.381542 samples/sec accuracy=71.008523 lr=0.010000 Epoch[030] Batch [0239]/[1320] Speed: 205.510700 samples/sec accuracy=70.927734 lr=0.010000 Epoch[030] Batch [0259]/[1320] Speed: 227.902636 samples/sec accuracy=70.850361 lr=0.010000 Epoch[030] Batch [0279]/[1320] Speed: 205.856579 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lr=0.010000 Epoch[030] Batch [1159]/[1320] Speed: 210.491808 samples/sec accuracy=69.751482 lr=0.010000 Epoch[030] Batch [1179]/[1320] Speed: 215.462502 samples/sec accuracy=69.740466 lr=0.010000 Epoch[030] Batch [1199]/[1320] Speed: 214.340171 samples/sec accuracy=69.737630 lr=0.010000 Epoch[030] Batch [1219]/[1320] Speed: 216.333196 samples/sec accuracy=69.731045 lr=0.010000 Epoch[030] Batch [1239]/[1320] Speed: 206.009638 samples/sec accuracy=69.713962 lr=0.010000 Epoch[030] Batch [1259]/[1320] Speed: 211.591221 samples/sec accuracy=69.689360 lr=0.010000 Epoch[030] Batch [1279]/[1320] Speed: 222.954185 samples/sec accuracy=69.672241 lr=0.010000 Epoch[030] Batch [1299]/[1320] Speed: 236.848719 samples/sec accuracy=69.672476 lr=0.010000 Epoch[030] Batch [1319]/[1320] Speed: 257.551454 samples/sec accuracy=69.651397 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 030] training: accuracy=69.651397 [Epoch 030] speed: 211 samples/sec time cost: 909.761100 [Epoch 030] validation: acc-top1=42.835168 acc-top5=73.769430 wrote 2 events to disk Epoch[031] Batch [0019]/[1320] Speed: 112.440372 samples/sec accuracy=71.718750 lr=0.010000 Epoch[031] Batch [0039]/[1320] Speed: 218.773286 samples/sec accuracy=72.304688 lr=0.010000 Epoch[031] Batch [0059]/[1320] Speed: 218.907966 samples/sec accuracy=72.473958 lr=0.010000 Epoch[031] Batch [0079]/[1320] Speed: 224.888676 samples/sec accuracy=72.490234 lr=0.010000 Epoch[031] Batch [0099]/[1320] Speed: 210.025291 samples/sec accuracy=72.593750 lr=0.010000 Epoch[031] Batch [0119]/[1320] Speed: 230.718714 samples/sec accuracy=72.519531 lr=0.010000 Epoch[031] Batch [0139]/[1320] Speed: 212.568555 samples/sec accuracy=72.427455 lr=0.010000 Epoch[031] Batch [0159]/[1320] Speed: 229.489778 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Epoch[031] Batch [0819]/[1320] Speed: 227.489569 samples/sec accuracy=70.969893 lr=0.010000 Epoch[031] Batch [0839]/[1320] Speed: 209.319296 samples/sec accuracy=70.952381 lr=0.010000 Epoch[031] Batch [0859]/[1320] Speed: 229.954393 samples/sec accuracy=70.912064 lr=0.010000 Epoch[031] Batch [0879]/[1320] Speed: 193.019382 samples/sec accuracy=70.827415 lr=0.010000 Epoch[031] Batch [0899]/[1320] Speed: 234.134189 samples/sec accuracy=70.794271 lr=0.010000 Epoch[031] Batch [0919]/[1320] Speed: 206.778931 samples/sec accuracy=70.771060 lr=0.010000 Epoch[031] Batch [0939]/[1320] Speed: 238.270458 samples/sec accuracy=70.730552 lr=0.010000 Epoch[031] Batch [0959]/[1320] Speed: 192.899911 samples/sec accuracy=70.717773 lr=0.010000 Epoch[031] Batch [0979]/[1320] Speed: 246.217666 samples/sec accuracy=70.672034 lr=0.010000 Epoch[031] Batch [0999]/[1320] Speed: 205.990015 samples/sec accuracy=70.627344 lr=0.010000 Epoch[031] Batch [1019]/[1320] Speed: 223.462653 samples/sec accuracy=70.628064 lr=0.010000 Epoch[031] Batch [1039]/[1320] Speed: 223.328587 samples/sec accuracy=70.589694 lr=0.010000 Epoch[031] Batch [1059]/[1320] Speed: 205.464359 samples/sec accuracy=70.541716 lr=0.010000 Epoch[031] Batch [1079]/[1320] Speed: 198.467339 samples/sec accuracy=70.531684 lr=0.010000 Epoch[031] Batch [1099]/[1320] Speed: 237.410283 samples/sec accuracy=70.511364 lr=0.010000 Epoch[031] Batch [1119]/[1320] Speed: 209.101528 samples/sec accuracy=70.496652 lr=0.010000 Epoch[031] Batch [1139]/[1320] Speed: 229.074467 samples/sec accuracy=70.481086 lr=0.010000 Epoch[031] Batch [1159]/[1320] Speed: 222.691855 samples/sec accuracy=70.436422 lr=0.010000 Epoch[031] Batch [1179]/[1320] Speed: 206.979413 samples/sec accuracy=70.393273 lr=0.010000 Epoch[031] Batch [1199]/[1320] Speed: 221.471468 samples/sec accuracy=70.394531 lr=0.010000 Epoch[031] Batch [1219]/[1320] Speed: 226.459878 samples/sec accuracy=70.372695 lr=0.010000 Epoch[031] Batch [1239]/[1320] Speed: 192.300838 samples/sec accuracy=70.337702 lr=0.010000 Epoch[031] Batch [1259]/[1320] Speed: 233.223252 samples/sec accuracy=70.321181 lr=0.010000 Epoch[031] Batch [1279]/[1320] Speed: 213.807207 samples/sec accuracy=70.285645 lr=0.010000 Epoch[031] Batch [1299]/[1320] Speed: 233.165967 samples/sec accuracy=70.263221 lr=0.010000 Epoch[031] Batch [1319]/[1320] Speed: 284.951328 samples/sec accuracy=70.284091 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 031] training: accuracy=70.284091 [Epoch 031] speed: 214 samples/sec time cost: 897.330728 [Epoch 031] validation: acc-top1=44.053595 acc-top5=74.850227 wrote 2 events to disk Epoch[032] Batch [0019]/[1319] Speed: 108.386379 samples/sec accuracy=73.437500 lr=0.010000 Epoch[032] Batch [0039]/[1319] Speed: 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lr=0.010000 Epoch[032] Batch [0699]/[1319] Speed: 213.514800 samples/sec accuracy=71.459821 lr=0.010000 Epoch[032] Batch [0719]/[1319] Speed: 209.684439 samples/sec accuracy=71.429036 lr=0.010000 Epoch[032] Batch [0739]/[1319] Speed: 214.787993 samples/sec accuracy=71.411529 lr=0.010000 Epoch[032] Batch [0759]/[1319] Speed: 210.574942 samples/sec accuracy=71.377467 lr=0.010000 Epoch[032] Batch [0779]/[1319] Speed: 217.800141 samples/sec accuracy=71.371194 lr=0.010000 Epoch[032] Batch [0799]/[1319] Speed: 220.342811 samples/sec accuracy=71.348633 lr=0.010000 Epoch[032] Batch [0819]/[1319] Speed: 222.799164 samples/sec accuracy=71.311928 lr=0.010000 Epoch[032] Batch [0839]/[1319] Speed: 208.265182 samples/sec accuracy=71.288132 lr=0.010000 Epoch[032] Batch [0859]/[1319] Speed: 232.587601 samples/sec accuracy=71.229106 lr=0.010000 Epoch[032] Batch [0879]/[1319] Speed: 190.947802 samples/sec accuracy=71.198509 lr=0.010000 Epoch[032] Batch [0899]/[1319] Speed: 232.873354 samples/sec accuracy=71.152778 lr=0.010000 Epoch[032] Batch [0919]/[1319] Speed: 200.099005 samples/sec accuracy=71.131114 lr=0.010000 Epoch[032] Batch [0939]/[1319] Speed: 229.933810 samples/sec accuracy=71.092088 lr=0.010000 Epoch[032] Batch [0959]/[1319] Speed: 214.153109 samples/sec accuracy=71.061198 lr=0.010000 Epoch[032] Batch [0979]/[1319] Speed: 202.298392 samples/sec accuracy=71.035555 lr=0.010000 Epoch[032] Batch [0999]/[1319] Speed: 239.198536 samples/sec accuracy=71.014062 lr=0.010000 Epoch[032] Batch [1019]/[1319] Speed: 209.378759 samples/sec accuracy=70.988817 lr=0.010000 Epoch[032] Batch [1039]/[1319] Speed: 213.987259 samples/sec accuracy=70.975811 lr=0.010000 Epoch[032] Batch [1059]/[1319] Speed: 214.609028 samples/sec accuracy=70.984670 lr=0.010000 Epoch[032] Batch [1079]/[1319] Speed: 216.403200 samples/sec accuracy=70.970775 lr=0.010000 Epoch[032] Batch [1099]/[1319] Speed: 222.736826 samples/sec accuracy=70.968040 lr=0.010000 Epoch[032] Batch [1119]/[1319] Speed: 211.460717 samples/sec accuracy=70.977958 lr=0.010000 Epoch[032] Batch [1139]/[1319] Speed: 224.702163 samples/sec accuracy=70.971765 lr=0.010000 Epoch[032] Batch [1159]/[1319] Speed: 223.402579 samples/sec accuracy=70.950296 lr=0.010000 Epoch[032] Batch [1179]/[1319] Speed: 214.659959 samples/sec accuracy=70.924258 lr=0.010000 Epoch[032] Batch [1199]/[1319] Speed: 235.172386 samples/sec accuracy=70.932292 lr=0.010000 Epoch[032] Batch [1219]/[1319] Speed: 204.899451 samples/sec accuracy=70.896516 lr=0.010000 Epoch[032] Batch [1239]/[1319] Speed: 208.054293 samples/sec accuracy=70.876386 lr=0.010000 Epoch[032] Batch [1259]/[1319] Speed: 238.108172 samples/sec accuracy=70.861855 lr=0.010000 Epoch[032] Batch [1279]/[1319] Speed: 199.312774 samples/sec accuracy=70.861206 lr=0.010000 Epoch[032] Batch [1299]/[1319] Speed: 272.079450 samples/sec accuracy=70.857572 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 032] training: accuracy=70.831951 [Epoch 032] speed: 213 samples/sec time cost: 899.067274 [Epoch 032] validation: acc-top1=43.041613 acc-top5=73.562986 wrote 2 events to disk Epoch[033] Batch [0019]/[1320] Speed: 104.148343 samples/sec accuracy=72.187500 lr=0.010000 Epoch[033] Batch [0039]/[1320] Speed: 210.144679 samples/sec accuracy=72.265625 lr=0.010000 Epoch[033] Batch [0059]/[1320] Speed: 227.214930 samples/sec accuracy=72.786458 lr=0.010000 Epoch[033] Batch [0079]/[1320] Speed: 210.464557 samples/sec accuracy=72.685547 lr=0.010000 Epoch[033] Batch [0099]/[1320] Speed: 223.492495 samples/sec accuracy=72.664062 lr=0.010000 Epoch[033] Batch [0119]/[1320] Speed: 223.245300 samples/sec accuracy=72.428385 lr=0.010000 Epoch[033] Batch [0139]/[1320] Speed: 223.933097 samples/sec accuracy=72.583705 lr=0.010000 Epoch[033] Batch 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accuracy=71.735352 lr=0.010000 Epoch[033] Batch [0819]/[1320] Speed: 239.651715 samples/sec accuracy=71.704459 lr=0.010000 Epoch[033] Batch [0839]/[1320] Speed: 213.185341 samples/sec accuracy=71.671317 lr=0.010000 Epoch[033] Batch [0859]/[1320] Speed: 222.391019 samples/sec accuracy=71.673328 lr=0.010000 Epoch[033] Batch [0879]/[1320] Speed: 225.683275 samples/sec accuracy=71.634411 lr=0.010000 Epoch[033] Batch [0899]/[1320] Speed: 210.203052 samples/sec accuracy=71.628472 lr=0.010000 Epoch[033] Batch [0919]/[1320] Speed: 222.708880 samples/sec accuracy=71.605808 lr=0.010000 Epoch[033] Batch [0939]/[1320] Speed: 222.462478 samples/sec accuracy=71.619847 lr=0.010000 Epoch[033] Batch [0959]/[1320] Speed: 214.710194 samples/sec accuracy=71.616211 lr=0.010000 Epoch[033] Batch [0979]/[1320] Speed: 222.027303 samples/sec accuracy=71.579241 lr=0.010000 Epoch[033] Batch [0999]/[1320] Speed: 214.898609 samples/sec accuracy=71.561719 lr=0.010000 Epoch[033] Batch [1019]/[1320] Speed: 211.363272 samples/sec accuracy=71.550245 lr=0.010000 Epoch[033] Batch [1039]/[1320] Speed: 233.056996 samples/sec accuracy=71.538462 lr=0.010000 Epoch[033] Batch [1059]/[1320] Speed: 195.439419 samples/sec accuracy=71.512382 lr=0.010000 Epoch[033] Batch [1079]/[1320] Speed: 239.155882 samples/sec accuracy=71.496672 lr=0.010000 Epoch[033] Batch [1099]/[1320] Speed: 202.999378 samples/sec accuracy=71.455966 lr=0.010000 Epoch[033] Batch [1119]/[1320] Speed: 216.016433 samples/sec accuracy=71.429967 lr=0.010000 Epoch[033] Batch [1139]/[1320] Speed: 226.013487 samples/sec accuracy=71.389803 lr=0.010000 Epoch[033] Batch [1159]/[1320] Speed: 212.163861 samples/sec accuracy=71.394127 lr=0.010000 Epoch[033] Batch [1179]/[1320] Speed: 217.271860 samples/sec accuracy=71.373808 lr=0.010000 Epoch[033] Batch [1199]/[1320] Speed: 214.690961 samples/sec accuracy=71.374349 lr=0.010000 Epoch[033] Batch [1219]/[1320] Speed: 217.472649 samples/sec accuracy=71.372310 lr=0.010000 Epoch[033] Batch [1239]/[1320] Speed: 223.401565 samples/sec accuracy=71.352697 lr=0.010000 Epoch[033] Batch [1259]/[1320] Speed: 210.327256 samples/sec accuracy=71.326265 lr=0.010000 Epoch[033] Batch [1279]/[1320] Speed: 222.984086 samples/sec accuracy=71.277466 lr=0.010000 Epoch[033] Batch [1299]/[1320] Speed: 246.579387 samples/sec accuracy=71.241587 lr=0.010000 Epoch[033] Batch [1319]/[1320] Speed: 255.321044 samples/sec accuracy=71.212713 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 033] training: accuracy=71.212713 [Epoch 033] speed: 214 samples/sec time cost: 898.783463 [Epoch 033] validation: acc-top1=43.418070 acc-top5=74.117552 wrote 2 events to disk Epoch[034] Batch [0019]/[1320] Speed: 107.500954 samples/sec accuracy=71.640625 lr=0.010000 Epoch[034] Batch 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Epoch[034] Batch [0259]/[1320] Speed: 210.510502 samples/sec accuracy=72.713341 lr=0.010000 Epoch[034] Batch [0279]/[1320] Speed: 220.022304 samples/sec accuracy=72.720424 lr=0.010000 Epoch[034] Batch [0299]/[1320] Speed: 227.609417 samples/sec accuracy=72.669271 lr=0.010000 Epoch[034] Batch [0319]/[1320] Speed: 205.847996 samples/sec accuracy=72.656250 lr=0.010000 Epoch[034] Batch [0339]/[1320] Speed: 223.982290 samples/sec accuracy=72.649357 lr=0.010000 Epoch[034] Batch [0359]/[1320] Speed: 205.477739 samples/sec accuracy=72.632378 lr=0.010000 Epoch[034] Batch [0379]/[1320] Speed: 221.313091 samples/sec accuracy=72.611020 lr=0.010000 Epoch[034] Batch [0399]/[1320] Speed: 222.560686 samples/sec accuracy=72.535156 lr=0.010000 Epoch[034] Batch [0419]/[1320] Speed: 198.302053 samples/sec accuracy=72.548363 lr=0.010000 Epoch[034] Batch [0439]/[1320] Speed: 242.617749 samples/sec accuracy=72.503551 lr=0.010000 Epoch[034] Batch [0459]/[1320] Speed: 194.300590 samples/sec accuracy=72.426970 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accuracy=72.058824 lr=0.010000 Epoch[034] Batch [0699]/[1320] Speed: 213.162682 samples/sec accuracy=72.040179 lr=0.010000 Epoch[034] Batch [0719]/[1320] Speed: 223.717392 samples/sec accuracy=72.045356 lr=0.010000 Epoch[034] Batch [0739]/[1320] Speed: 211.794350 samples/sec accuracy=72.010135 lr=0.010000 Epoch[034] Batch [0759]/[1320] Speed: 211.884667 samples/sec accuracy=71.989104 lr=0.010000 Epoch[034] Batch [0779]/[1320] Speed: 226.924301 samples/sec accuracy=72.011218 lr=0.010000 Epoch[034] Batch [0799]/[1320] Speed: 212.750274 samples/sec accuracy=71.990234 lr=0.010000 Epoch[034] Batch [0819]/[1320] Speed: 230.949197 samples/sec accuracy=71.993140 lr=0.010000 Epoch[034] Batch [0839]/[1320] Speed: 219.926702 samples/sec accuracy=71.992188 lr=0.010000 Epoch[034] Batch [0859]/[1320] Speed: 207.697898 samples/sec accuracy=71.967660 lr=0.010000 Epoch[034] Batch [0879]/[1320] Speed: 228.239205 samples/sec accuracy=71.918501 lr=0.010000 Epoch[034] Batch [0899]/[1320] Speed: 199.435055 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evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 034] training: accuracy=71.564867 [Epoch 034] speed: 214 samples/sec time cost: 899.145429 [Epoch 034] validation: acc-top1=43.304728 acc-top5=74.182319 wrote 2 events to disk Epoch[035] Batch [0019]/[1319] Speed: 104.178590 samples/sec accuracy=73.320312 lr=0.010000 Epoch[035] Batch [0039]/[1319] Speed: 211.115996 samples/sec accuracy=73.046875 lr=0.010000 Epoch[035] Batch [0059]/[1319] Speed: 234.086141 samples/sec accuracy=73.033854 lr=0.010000 Epoch[035] Batch [0079]/[1319] Speed: 210.858552 samples/sec accuracy=73.417969 lr=0.010000 Epoch[035] Batch [0099]/[1319] Speed: 224.264397 samples/sec accuracy=73.203125 lr=0.010000 Epoch[035] Batch [0119]/[1319] Speed: 219.284376 samples/sec accuracy=73.287760 lr=0.010000 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accuracy=72.797154 lr=0.010000 Epoch[035] Batch [0579]/[1319] Speed: 218.080788 samples/sec accuracy=72.786907 lr=0.010000 Epoch[035] Batch [0599]/[1319] Speed: 224.698180 samples/sec accuracy=72.736979 lr=0.010000 Epoch[035] Batch [0619]/[1319] Speed: 226.328876 samples/sec accuracy=72.656250 lr=0.010000 Epoch[035] Batch [0639]/[1319] Speed: 202.307216 samples/sec accuracy=72.694092 lr=0.010000 Epoch[035] Batch [0659]/[1319] Speed: 233.250864 samples/sec accuracy=72.677557 lr=0.010000 Epoch[035] Batch [0679]/[1319] Speed: 192.419933 samples/sec accuracy=72.659697 lr=0.010000 Epoch[035] Batch [0699]/[1319] Speed: 225.480383 samples/sec accuracy=72.619420 lr=0.010000 Epoch[035] Batch [0719]/[1319] Speed: 233.123671 samples/sec accuracy=72.583550 lr=0.010000 Epoch[035] Batch [0739]/[1319] Speed: 196.517988 samples/sec accuracy=72.543285 lr=0.010000 Epoch[035] Batch [0759]/[1319] Speed: 249.264082 samples/sec accuracy=72.506168 lr=0.010000 Epoch[035] Batch [0779]/[1319] Speed: 196.843936 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[1219]/[1319] Speed: 215.040954 samples/sec accuracy=72.079918 lr=0.010000 Epoch[035] Batch [1239]/[1319] Speed: 207.625920 samples/sec accuracy=72.057082 lr=0.010000 Epoch[035] Batch [1259]/[1319] Speed: 234.789555 samples/sec accuracy=72.069692 lr=0.010000 Epoch[035] Batch [1279]/[1319] Speed: 202.589903 samples/sec accuracy=72.048340 lr=0.010000 Epoch[035] Batch [1299]/[1319] Speed: 236.501467 samples/sec accuracy=72.003005 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 035] training: accuracy=71.982799 [Epoch 035] speed: 213 samples/sec time cost: 897.791866 [Epoch 035] validation: acc-top1=42.903983 acc-top5=73.971826 wrote 2 events to disk Epoch[036] Batch [0019]/[1320] Speed: 106.425649 samples/sec accuracy=75.156250 lr=0.010000 Epoch[036] Batch [0039]/[1320] Speed: 210.182112 samples/sec accuracy=75.175781 lr=0.010000 Epoch[036] Batch [0059]/[1320] Speed: 245.434355 samples/sec accuracy=74.804688 lr=0.010000 Epoch[036] Batch [0079]/[1320] Speed: 196.544726 samples/sec accuracy=74.638672 lr=0.010000 Epoch[036] Batch [0099]/[1320] Speed: 236.734040 samples/sec accuracy=74.507812 lr=0.010000 Epoch[036] Batch [0119]/[1320] Speed: 209.143250 samples/sec accuracy=74.348958 lr=0.010000 Epoch[036] Batch [0139]/[1320] Speed: 228.659141 samples/sec accuracy=74.224330 lr=0.010000 Epoch[036] Batch [0159]/[1320] Speed: 213.536919 samples/sec accuracy=73.994141 lr=0.010000 Epoch[036] Batch [0179]/[1320] Speed: 211.876426 samples/sec accuracy=74.062500 lr=0.010000 Epoch[036] Batch [0199]/[1320] Speed: 203.111882 samples/sec accuracy=73.750000 lr=0.010000 Epoch[036] Batch [0219]/[1320] Speed: 230.596912 samples/sec accuracy=73.725142 lr=0.010000 Epoch[036] Batch [0239]/[1320] Speed: 218.114672 samples/sec accuracy=73.763021 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accuracy=73.318614 lr=0.010000 Epoch[036] Batch [0479]/[1320] Speed: 206.651745 samples/sec accuracy=73.317057 lr=0.010000 Epoch[036] Batch [0499]/[1320] Speed: 225.453534 samples/sec accuracy=73.310937 lr=0.010000 Epoch[036] Batch [0519]/[1320] Speed: 214.982631 samples/sec accuracy=73.345853 lr=0.010000 Epoch[036] Batch [0539]/[1320] Speed: 203.612114 samples/sec accuracy=73.295718 lr=0.010000 Epoch[036] Batch [0559]/[1320] Speed: 234.550348 samples/sec accuracy=73.311942 lr=0.010000 Epoch[036] Batch [0579]/[1320] Speed: 202.849930 samples/sec accuracy=73.293373 lr=0.010000 Epoch[036] Batch [0599]/[1320] Speed: 230.456279 samples/sec accuracy=73.259115 lr=0.010000 Epoch[036] Batch [0619]/[1320] Speed: 207.804338 samples/sec accuracy=73.248488 lr=0.010000 Epoch[036] Batch [0639]/[1320] Speed: 221.184333 samples/sec accuracy=73.189697 lr=0.010000 Epoch[036] Batch [0659]/[1320] Speed: 219.680450 samples/sec accuracy=73.109612 lr=0.010000 Epoch[036] Batch [0679]/[1320] Speed: 203.023099 samples/sec accuracy=73.068704 lr=0.010000 Epoch[036] Batch [0699]/[1320] Speed: 214.138887 samples/sec accuracy=73.030134 lr=0.010000 Epoch[036] Batch [0719]/[1320] Speed: 224.688169 samples/sec accuracy=73.011068 lr=0.010000 Epoch[036] Batch [0739]/[1320] Speed: 194.765340 samples/sec accuracy=72.984586 lr=0.010000 Epoch[036] Batch [0759]/[1320] Speed: 239.658027 samples/sec accuracy=72.956414 lr=0.010000 Epoch[036] Batch [0779]/[1320] Speed: 210.217328 samples/sec accuracy=72.943710 lr=0.010000 Epoch[036] Batch [0799]/[1320] Speed: 218.921262 samples/sec accuracy=72.941406 lr=0.010000 Epoch[036] Batch [0819]/[1320] Speed: 213.859334 samples/sec accuracy=72.939215 lr=0.010000 Epoch[036] Batch [0839]/[1320] Speed: 223.275437 samples/sec accuracy=72.929688 lr=0.010000 Epoch[036] Batch [0859]/[1320] Speed: 217.976687 samples/sec accuracy=72.940589 lr=0.010000 Epoch[036] Batch [0879]/[1320] Speed: 204.330314 samples/sec accuracy=72.957209 lr=0.010000 Epoch[036] Batch [0899]/[1320] Speed: 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[0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 036] training: accuracy=72.530777 [Epoch 036] speed: 213 samples/sec time cost: 903.552577 [Epoch 036] validation: acc-top1=44.369333 acc-top5=74.805699 wrote 2 events to disk Epoch[037] Batch [0019]/[1320] Speed: 103.351917 samples/sec accuracy=75.117188 lr=0.010000 Epoch[037] Batch [0039]/[1320] Speed: 199.836654 samples/sec accuracy=75.195312 lr=0.010000 Epoch[037] Batch [0059]/[1320] Speed: 239.120087 samples/sec accuracy=74.934896 lr=0.010000 Epoch[037] Batch [0079]/[1320] Speed: 226.286878 samples/sec accuracy=75.214844 lr=0.010000 Epoch[037] Batch [0099]/[1320] Speed: 204.228583 samples/sec accuracy=75.046875 lr=0.010000 Epoch[037] Batch [0119]/[1320] Speed: 240.143625 samples/sec accuracy=74.928385 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accuracy=73.887868 lr=0.010000 Epoch[037] Batch [0359]/[1320] Speed: 218.312628 samples/sec accuracy=73.904080 lr=0.010000 Epoch[037] Batch [0379]/[1320] Speed: 213.590899 samples/sec accuracy=73.918586 lr=0.010000 Epoch[037] Batch [0399]/[1320] Speed: 222.516422 samples/sec accuracy=73.937500 lr=0.010000 Epoch[037] Batch [0419]/[1320] Speed: 208.979942 samples/sec accuracy=73.921131 lr=0.010000 Epoch[037] Batch [0439]/[1320] Speed: 213.743220 samples/sec accuracy=73.824574 lr=0.010000 Epoch[037] Batch [0459]/[1320] Speed: 224.816737 samples/sec accuracy=73.765285 lr=0.010000 Epoch[037] Batch [0479]/[1320] Speed: 211.901372 samples/sec accuracy=73.735352 lr=0.010000 Epoch[037] Batch [0499]/[1320] Speed: 230.584260 samples/sec accuracy=73.745313 lr=0.010000 Epoch[037] Batch [0519]/[1320] Speed: 209.548879 samples/sec accuracy=73.724459 lr=0.010000 Epoch[037] Batch [0539]/[1320] Speed: 227.114533 samples/sec accuracy=73.680556 lr=0.010000 Epoch[037] Batch [0559]/[1320] Speed: 207.400886 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Epoch[037] Batch [1219]/[1320] Speed: 213.747930 samples/sec accuracy=72.868212 lr=0.010000 Epoch[037] Batch [1239]/[1320] Speed: 226.090407 samples/sec accuracy=72.855343 lr=0.010000 Epoch[037] Batch [1259]/[1320] Speed: 217.602253 samples/sec accuracy=72.805680 lr=0.010000 Epoch[037] Batch [1279]/[1320] Speed: 205.387065 samples/sec accuracy=72.783203 lr=0.010000 Epoch[037] Batch [1299]/[1320] Speed: 255.926943 samples/sec accuracy=72.751202 lr=0.010000 Epoch[037] Batch [1319]/[1320] Speed: 260.998449 samples/sec accuracy=72.739110 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 037] training: accuracy=72.739110 [Epoch 037] speed: 214 samples/sec time cost: 898.236881 [Epoch 037] validation: acc-top1=43.418070 acc-top5=73.988018 wrote 2 events to disk Epoch[038] Batch [0019]/[1319] Speed: 105.897851 samples/sec accuracy=74.765625 lr=0.010000 Epoch[038] Batch [0039]/[1319] Speed: 212.601296 samples/sec accuracy=75.117188 lr=0.010000 Epoch[038] Batch [0059]/[1319] Speed: 233.301762 samples/sec accuracy=75.026042 lr=0.010000 Epoch[038] Batch [0079]/[1319] Speed: 213.963423 samples/sec accuracy=74.716797 lr=0.010000 Epoch[038] Batch [0099]/[1319] Speed: 230.494030 samples/sec accuracy=74.664062 lr=0.010000 Epoch[038] Batch [0119]/[1319] Speed: 204.600718 samples/sec accuracy=74.765625 lr=0.010000 Epoch[038] Batch [0139]/[1319] Speed: 238.362938 samples/sec accuracy=74.598214 lr=0.010000 Epoch[038] Batch [0159]/[1319] Speed: 199.454634 samples/sec accuracy=74.570312 lr=0.010000 Epoch[038] Batch [0179]/[1319] Speed: 228.028799 samples/sec accuracy=74.600694 lr=0.010000 Epoch[038] Batch [0199]/[1319] Speed: 210.393171 samples/sec accuracy=74.546875 lr=0.010000 Epoch[038] Batch [0219]/[1319] Speed: 232.648574 samples/sec accuracy=74.552557 lr=0.010000 Epoch[038] Batch [0239]/[1319] Speed: 205.416683 samples/sec accuracy=74.397786 lr=0.010000 Epoch[038] Batch [0259]/[1319] Speed: 226.103352 samples/sec accuracy=74.281851 lr=0.010000 Epoch[038] Batch [0279]/[1319] Speed: 219.472475 samples/sec accuracy=74.215960 lr=0.010000 Epoch[038] Batch [0299]/[1319] Speed: 208.881579 samples/sec accuracy=74.143229 lr=0.010000 Epoch[038] Batch [0319]/[1319] Speed: 196.639135 samples/sec accuracy=74.140625 lr=0.010000 Epoch[038] Batch [0339]/[1319] Speed: 248.741054 samples/sec accuracy=74.110754 lr=0.010000 Epoch[038] Batch [0359]/[1319] Speed: 207.894543 samples/sec accuracy=74.095052 lr=0.010000 Epoch[038] Batch [0379]/[1319] Speed: 230.868047 samples/sec accuracy=74.043997 lr=0.010000 Epoch[038] Batch [0399]/[1319] Speed: 204.901222 samples/sec accuracy=74.117188 lr=0.010000 Epoch[038] Batch [0419]/[1319] Speed: 210.138979 samples/sec accuracy=74.082961 lr=0.010000 Epoch[038] Batch [0439]/[1319] Speed: 225.522035 samples/sec accuracy=74.060724 lr=0.010000 Epoch[038] Batch [0459]/[1319] Speed: 205.058098 samples/sec accuracy=74.014946 lr=0.010000 Epoch[038] Batch [0479]/[1319] Speed: 240.036729 samples/sec accuracy=74.051107 lr=0.010000 Epoch[038] Batch [0499]/[1319] Speed: 218.375570 samples/sec accuracy=74.054688 lr=0.010000 Epoch[038] Batch [0519]/[1319] Speed: 207.095694 samples/sec accuracy=74.032452 lr=0.010000 Epoch[038] Batch [0539]/[1319] Speed: 234.384283 samples/sec accuracy=73.994502 lr=0.010000 Epoch[038] Batch [0559]/[1319] Speed: 206.163324 samples/sec accuracy=73.977400 lr=0.010000 Epoch[038] Batch [0579]/[1319] Speed: 222.199473 samples/sec accuracy=73.942619 lr=0.010000 Epoch[038] Batch [0599]/[1319] Speed: 210.276989 samples/sec accuracy=73.925781 lr=0.010000 Epoch[038] Batch [0619]/[1319] Speed: 197.345409 samples/sec accuracy=73.936492 lr=0.010000 Epoch[038] Batch [0639]/[1319] Speed: 236.815809 samples/sec accuracy=73.908691 lr=0.010000 Epoch[038] Batch [0659]/[1319] Speed: 225.832547 samples/sec accuracy=73.836411 lr=0.010000 Epoch[038] Batch [0679]/[1319] Speed: 219.952791 samples/sec accuracy=73.847656 lr=0.010000 Epoch[038] Batch [0699]/[1319] Speed: 209.293633 samples/sec accuracy=73.849330 lr=0.010000 Epoch[038] Batch [0719]/[1319] Speed: 215.642505 samples/sec accuracy=73.785807 lr=0.010000 Epoch[038] Batch [0739]/[1319] Speed: 224.827470 samples/sec accuracy=73.722551 lr=0.010000 Epoch[038] Batch [0759]/[1319] Speed: 201.455777 samples/sec accuracy=73.772615 lr=0.010000 Epoch[038] Batch [0779]/[1319] Speed: 230.878641 samples/sec accuracy=73.766026 lr=0.010000 Epoch[038] Batch [0799]/[1319] Speed: 216.177754 samples/sec accuracy=73.728516 lr=0.010000 Epoch[038] Batch [0819]/[1319] Speed: 208.900578 samples/sec accuracy=73.674733 lr=0.010000 Epoch[038] Batch [0839]/[1319] Speed: 230.896777 samples/sec accuracy=73.679315 lr=0.010000 Epoch[038] Batch [0859]/[1319] Speed: 196.894615 samples/sec accuracy=73.710029 lr=0.010000 Epoch[038] Batch 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Epoch[038] Batch [1099]/[1319] Speed: 219.314923 samples/sec accuracy=73.429688 lr=0.010000 Epoch[038] Batch [1119]/[1319] Speed: 204.262792 samples/sec accuracy=73.411691 lr=0.010000 Epoch[038] Batch [1139]/[1319] Speed: 237.264144 samples/sec accuracy=73.419682 lr=0.010000 Epoch[038] Batch [1159]/[1319] Speed: 196.793179 samples/sec accuracy=73.395744 lr=0.010000 Epoch[038] Batch [1179]/[1319] Speed: 226.140686 samples/sec accuracy=73.348782 lr=0.010000 Epoch[038] Batch [1199]/[1319] Speed: 210.062780 samples/sec accuracy=73.302083 lr=0.010000 Epoch[038] Batch [1219]/[1319] Speed: 220.478047 samples/sec accuracy=73.288294 lr=0.010000 Epoch[038] Batch [1239]/[1319] Speed: 231.038129 samples/sec accuracy=73.276210 lr=0.010000 Epoch[038] Batch [1259]/[1319] Speed: 211.563209 samples/sec accuracy=73.244668 lr=0.010000 Epoch[038] Batch [1279]/[1319] Speed: 197.933360 samples/sec accuracy=73.224487 lr=0.010000 Epoch[038] Batch [1299]/[1319] Speed: 255.336095 samples/sec accuracy=73.201322 lr=0.010000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 038] training: accuracy=73.212424 [Epoch 038] speed: 214 samples/sec time cost: 896.556599 [Epoch 038] validation: acc-top1=44.255991 acc-top5=74.429242 wrote 2 events to disk Epoch[039] Batch [0019]/[1320] Speed: 103.679156 samples/sec accuracy=76.015625 lr=0.010000 Epoch[039] Batch [0039]/[1320] Speed: 201.730672 samples/sec accuracy=75.683594 lr=0.010000 Epoch[039] Batch [0059]/[1320] Speed: 232.907324 samples/sec accuracy=75.846354 lr=0.010000 Epoch[039] Batch [0079]/[1320] Speed: 224.738062 samples/sec accuracy=75.390625 lr=0.010000 Epoch[039] Batch [0099]/[1320] Speed: 216.897397 samples/sec accuracy=75.328125 lr=0.010000 Epoch[039] Batch [0119]/[1320] Speed: 217.048155 samples/sec accuracy=75.410156 lr=0.010000 Epoch[039] Batch [0139]/[1320] Speed: 225.406353 samples/sec accuracy=75.396205 lr=0.010000 Epoch[039] Batch [0159]/[1320] Speed: 192.528538 samples/sec accuracy=75.439453 lr=0.010000 Epoch[039] Batch [0179]/[1320] Speed: 240.166695 samples/sec accuracy=75.460069 lr=0.010000 Epoch[039] Batch [0199]/[1320] Speed: 213.549404 samples/sec accuracy=75.410156 lr=0.010000 Epoch[039] Batch [0219]/[1320] Speed: 231.437579 samples/sec accuracy=75.447443 lr=0.010000 Epoch[039] Batch [0239]/[1320] Speed: 201.458532 samples/sec accuracy=75.367839 lr=0.010000 Epoch[039] Batch [0259]/[1320] Speed: 216.455070 samples/sec accuracy=75.384615 lr=0.010000 Epoch[039] Batch [0279]/[1320] Speed: 214.895254 samples/sec accuracy=75.251116 lr=0.010000 Epoch[039] Batch [0299]/[1320] Speed: 220.861493 samples/sec accuracy=75.216146 lr=0.010000 Epoch[039] Batch [0319]/[1320] Speed: 211.274804 samples/sec accuracy=75.102539 lr=0.010000 Epoch[039] Batch [0339]/[1320] Speed: 221.476543 samples/sec accuracy=75.039062 lr=0.010000 Epoch[039] Batch [0359]/[1320] Speed: 199.218923 samples/sec accuracy=75.078125 lr=0.010000 Epoch[039] Batch [0379]/[1320] Speed: 241.955070 samples/sec accuracy=75.094572 lr=0.010000 Epoch[039] Batch [0399]/[1320] Speed: 215.617359 samples/sec accuracy=75.044922 lr=0.010000 Epoch[039] Batch [0419]/[1320] Speed: 218.312282 samples/sec accuracy=75.003720 lr=0.010000 Epoch[039] Batch [0439]/[1320] Speed: 200.905381 samples/sec accuracy=74.984020 lr=0.010000 Epoch[039] Batch [0459]/[1320] Speed: 239.340714 samples/sec accuracy=74.867527 lr=0.010000 Epoch[039] Batch [0479]/[1320] Speed: 210.708712 samples/sec accuracy=74.881185 lr=0.010000 Epoch[039] Batch [0499]/[1320] Speed: 201.675436 samples/sec accuracy=74.892187 lr=0.010000 Epoch[039] Batch [0519]/[1320] Speed: 234.909285 samples/sec accuracy=74.834736 lr=0.010000 Epoch[039] Batch [0539]/[1320] Speed: 218.027352 samples/sec accuracy=74.788773 lr=0.010000 Epoch[039] Batch [0559]/[1320] Speed: 213.177828 samples/sec accuracy=74.708426 lr=0.010000 Epoch[039] Batch [0579]/[1320] Speed: 221.965456 samples/sec accuracy=74.645744 lr=0.010000 Epoch[039] Batch [0599]/[1320] Speed: 221.591093 samples/sec accuracy=74.605469 lr=0.010000 Epoch[039] Batch [0619]/[1320] Speed: 215.243817 samples/sec accuracy=74.582913 lr=0.010000 Epoch[039] Batch [0639]/[1320] Speed: 212.201489 samples/sec accuracy=74.592285 lr=0.010000 Epoch[039] Batch [0659]/[1320] Speed: 216.118274 samples/sec accuracy=74.611742 lr=0.010000 Epoch[039] Batch [0679]/[1320] Speed: 228.519644 samples/sec accuracy=74.558824 lr=0.010000 Epoch[039] Batch [0699]/[1320] Speed: 211.375934 samples/sec accuracy=74.522321 lr=0.010000 Epoch[039] Batch [0719]/[1320] Speed: 229.848398 samples/sec accuracy=74.494358 lr=0.010000 Epoch[039] Batch [0739]/[1320] Speed: 214.139446 samples/sec accuracy=74.449958 lr=0.010000 Epoch[039] Batch [0759]/[1320] Speed: 206.903842 samples/sec accuracy=74.445929 lr=0.010000 Epoch[039] Batch 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Epoch[039] Batch [0999]/[1320] Speed: 237.752519 samples/sec accuracy=74.153906 lr=0.010000 Epoch[039] Batch [1019]/[1320] Speed: 200.744155 samples/sec accuracy=74.129136 lr=0.010000 Epoch[039] Batch [1039]/[1320] Speed: 244.210268 samples/sec accuracy=74.092548 lr=0.010000 Epoch[039] Batch [1059]/[1320] Speed: 204.655840 samples/sec accuracy=74.074292 lr=0.010000 Epoch[039] Batch [1079]/[1320] Speed: 216.216862 samples/sec accuracy=74.040075 lr=0.010000 Epoch[039] Batch [1099]/[1320] Speed: 221.381376 samples/sec accuracy=73.998580 lr=0.010000 Epoch[039] Batch [1119]/[1320] Speed: 217.442398 samples/sec accuracy=73.969727 lr=0.010000 Epoch[039] Batch [1139]/[1320] Speed: 212.033329 samples/sec accuracy=73.976837 lr=0.010000 Epoch[039] Batch [1159]/[1320] Speed: 215.436460 samples/sec accuracy=73.958782 lr=0.010000 Epoch[039] Batch [1179]/[1320] Speed: 217.855379 samples/sec accuracy=73.954582 lr=0.010000 Epoch[039] Batch [1199]/[1320] Speed: 198.300936 samples/sec accuracy=73.917318 lr=0.010000 Epoch[039] Batch [1219]/[1320] Speed: 236.358021 samples/sec accuracy=73.904969 lr=0.010000 Epoch[039] Batch [1239]/[1320] Speed: 219.343573 samples/sec accuracy=73.859627 lr=0.010000 Epoch[039] Batch [1259]/[1320] Speed: 216.641744 samples/sec accuracy=73.852927 lr=0.010000 Epoch[039] Batch [1279]/[1320] Speed: 205.528622 samples/sec accuracy=73.823853 lr=0.010000 Epoch[039] Batch [1299]/[1320] Speed: 256.801298 samples/sec accuracy=73.799279 lr=0.001000 Epoch[039] Batch [1319]/[1320] Speed: 269.881664 samples/sec accuracy=73.748224 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 039] training: accuracy=73.748224 [Epoch 039] speed: 214 samples/sec time cost: 896.107340 [Epoch 039] validation: acc-top1=42.563957 acc-top5=73.239152 wrote 2 events to disk Epoch[040] Batch [0019]/[1319] Speed: 104.951216 samples/sec accuracy=75.859375 lr=0.001000 Epoch[040] Batch [0039]/[1319] Speed: 215.884448 samples/sec accuracy=75.214844 lr=0.001000 Epoch[040] Batch [0059]/[1319] Speed: 218.822623 samples/sec accuracy=75.638021 lr=0.001000 Epoch[040] Batch [0079]/[1319] Speed: 226.008402 samples/sec accuracy=75.644531 lr=0.001000 Epoch[040] Batch [0099]/[1319] Speed: 206.284579 samples/sec accuracy=76.078125 lr=0.001000 Epoch[040] Batch [0119]/[1319] Speed: 228.023971 samples/sec accuracy=76.223958 lr=0.001000 Epoch[040] Batch [0139]/[1319] Speed: 200.840903 samples/sec accuracy=76.517857 lr=0.001000 Epoch[040] Batch [0159]/[1319] Speed: 236.932523 samples/sec accuracy=76.723633 lr=0.001000 Epoch[040] Batch [0179]/[1319] Speed: 189.569545 samples/sec accuracy=76.922743 lr=0.001000 Epoch[040] Batch [0199]/[1319] Speed: 238.750682 samples/sec accuracy=77.042969 lr=0.001000 Epoch[040] Batch [0219]/[1319] Speed: 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Epoch[040] Batch [0659]/[1319] Speed: 206.918809 samples/sec accuracy=78.605587 lr=0.001000 Epoch[040] Batch [0679]/[1319] Speed: 221.225776 samples/sec accuracy=78.651195 lr=0.001000 Epoch[040] Batch [0699]/[1319] Speed: 212.339761 samples/sec accuracy=78.691964 lr=0.001000 Epoch[040] Batch [0719]/[1319] Speed: 221.568258 samples/sec accuracy=78.744575 lr=0.001000 Epoch[040] Batch [0739]/[1319] Speed: 219.278783 samples/sec accuracy=78.781672 lr=0.001000 Epoch[040] Batch [0759]/[1319] Speed: 215.513412 samples/sec accuracy=78.806538 lr=0.001000 Epoch[040] Batch [0779]/[1319] Speed: 222.887614 samples/sec accuracy=78.815104 lr=0.001000 Epoch[040] Batch [0799]/[1319] Speed: 207.416663 samples/sec accuracy=78.837891 lr=0.001000 Epoch[040] Batch [0819]/[1319] Speed: 210.159063 samples/sec accuracy=78.884337 lr=0.001000 Epoch[040] Batch [0839]/[1319] Speed: 235.825541 samples/sec accuracy=78.917411 lr=0.001000 Epoch[040] Batch [0859]/[1319] Speed: 207.557911 samples/sec accuracy=78.973474 lr=0.001000 Epoch[040] Batch [0879]/[1319] Speed: 202.590966 samples/sec accuracy=79.013672 lr=0.001000 Epoch[040] Batch [0899]/[1319] Speed: 232.639254 samples/sec accuracy=79.057292 lr=0.001000 Epoch[040] Batch [0919]/[1319] Speed: 205.142114 samples/sec accuracy=79.079484 lr=0.001000 Epoch[040] Batch [0939]/[1319] Speed: 231.328851 samples/sec accuracy=79.102394 lr=0.001000 Epoch[040] Batch [0959]/[1319] Speed: 206.915699 samples/sec accuracy=79.086914 lr=0.001000 Epoch[040] Batch [0979]/[1319] Speed: 227.193507 samples/sec accuracy=79.127073 lr=0.001000 Epoch[040] Batch [0999]/[1319] Speed: 216.438573 samples/sec accuracy=79.112500 lr=0.001000 Epoch[040] Batch [1019]/[1319] Speed: 215.655442 samples/sec accuracy=79.142923 lr=0.001000 Epoch[040] Batch [1039]/[1319] Speed: 218.489241 samples/sec accuracy=79.167668 lr=0.001000 Epoch[040] Batch [1059]/[1319] Speed: 220.497054 samples/sec accuracy=79.183373 lr=0.001000 Epoch[040] Batch [1079]/[1319] Speed: 207.955933 samples/sec accuracy=79.181858 lr=0.001000 Epoch[040] Batch [1099]/[1319] Speed: 238.090690 samples/sec accuracy=79.215199 lr=0.001000 Epoch[040] Batch [1119]/[1319] Speed: 198.845840 samples/sec accuracy=79.241769 lr=0.001000 Epoch[040] Batch [1139]/[1319] Speed: 235.602075 samples/sec accuracy=79.274260 lr=0.001000 Epoch[040] Batch [1159]/[1319] Speed: 205.371461 samples/sec accuracy=79.306304 lr=0.001000 Epoch[040] Batch [1179]/[1319] Speed: 217.915987 samples/sec accuracy=79.301510 lr=0.001000 Epoch[040] Batch [1199]/[1319] Speed: 215.552830 samples/sec accuracy=79.310547 lr=0.001000 Epoch[040] Batch [1219]/[1319] Speed: 216.927834 samples/sec accuracy=79.337218 lr=0.001000 Epoch[040] Batch [1239]/[1319] Speed: 212.379757 samples/sec accuracy=79.373110 lr=0.001000 Epoch[040] Batch [1259]/[1319] Speed: 228.534197 samples/sec accuracy=79.411582 lr=0.001000 Epoch[040] Batch [1279]/[1319] Speed: 210.854249 samples/sec accuracy=79.421387 lr=0.001000 Epoch[040] Batch [1299]/[1319] Speed: 228.467150 samples/sec accuracy=79.431490 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 040] training: accuracy=79.455317 [Epoch 040] speed: 214 samples/sec time cost: 896.855655 [Epoch 040] validation: acc-top1=46.231380 acc-top5=76.242714 wrote 2 events to disk Epoch[041] Batch [0019]/[1320] Speed: 107.227382 samples/sec accuracy=82.226562 lr=0.001000 Epoch[041] Batch [0039]/[1320] Speed: 196.276210 samples/sec accuracy=82.265625 lr=0.001000 Epoch[041] Batch [0059]/[1320] Speed: 249.215004 samples/sec accuracy=81.783854 lr=0.001000 Epoch[041] Batch [0079]/[1320] Speed: 216.092377 samples/sec accuracy=81.953125 lr=0.001000 Epoch[041] Batch [0099]/[1320] Speed: 211.185904 samples/sec accuracy=81.820312 lr=0.001000 Epoch[041] Batch [0119]/[1320] 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Epoch[041] Batch [0559]/[1320] Speed: 216.805585 samples/sec accuracy=81.609933 lr=0.001000 Epoch[041] Batch [0579]/[1320] Speed: 211.992877 samples/sec accuracy=81.652748 lr=0.001000 Epoch[041] Batch [0599]/[1320] Speed: 231.534121 samples/sec accuracy=81.669271 lr=0.001000 Epoch[041] Batch [0619]/[1320] Speed: 199.161666 samples/sec accuracy=81.692288 lr=0.001000 Epoch[041] Batch [0639]/[1320] Speed: 223.572401 samples/sec accuracy=81.711426 lr=0.001000 Epoch[041] Batch [0659]/[1320] Speed: 216.433263 samples/sec accuracy=81.706913 lr=0.001000 Epoch[041] Batch [0679]/[1320] Speed: 213.243975 samples/sec accuracy=81.704963 lr=0.001000 Epoch[041] Batch [0699]/[1320] Speed: 219.169625 samples/sec accuracy=81.679688 lr=0.001000 Epoch[041] Batch [0719]/[1320] Speed: 209.868806 samples/sec accuracy=81.675347 lr=0.001000 Epoch[041] Batch [0739]/[1320] Speed: 219.504581 samples/sec accuracy=81.634291 lr=0.001000 Epoch[041] Batch [0759]/[1320] Speed: 212.256470 samples/sec accuracy=81.643709 lr=0.001000 Epoch[041] Batch [0779]/[1320] Speed: 226.216081 samples/sec accuracy=81.657652 lr=0.001000 Epoch[041] Batch [0799]/[1320] Speed: 210.685018 samples/sec accuracy=81.677734 lr=0.001000 Epoch[041] Batch [0819]/[1320] Speed: 209.951268 samples/sec accuracy=81.707317 lr=0.001000 Epoch[041] Batch [0839]/[1320] Speed: 204.184166 samples/sec accuracy=81.729911 lr=0.001000 Epoch[041] Batch [0859]/[1320] Speed: 234.082008 samples/sec accuracy=81.709666 lr=0.001000 Epoch[041] Batch [0879]/[1320] Speed: 223.298602 samples/sec accuracy=81.693892 lr=0.001000 Epoch[041] Batch [0899]/[1320] Speed: 208.584695 samples/sec accuracy=81.692708 lr=0.001000 Epoch[041] Batch [0919]/[1320] Speed: 213.573960 samples/sec accuracy=81.694973 lr=0.001000 Epoch[041] Batch [0939]/[1320] Speed: 222.363588 samples/sec accuracy=81.722906 lr=0.001000 Epoch[041] Batch [0959]/[1320] Speed: 221.203084 samples/sec accuracy=81.744792 lr=0.001000 Epoch[041] Batch [0979]/[1320] Speed: 211.332771 samples/sec accuracy=81.751435 lr=0.001000 Epoch[041] Batch [0999]/[1320] Speed: 229.528416 samples/sec accuracy=81.753125 lr=0.001000 Epoch[041] Batch [1019]/[1320] Speed: 202.763604 samples/sec accuracy=81.736366 lr=0.001000 Epoch[041] Batch [1039]/[1320] Speed: 223.900312 samples/sec accuracy=81.758564 lr=0.001000 Epoch[041] Batch [1059]/[1320] Speed: 211.178240 samples/sec accuracy=81.745283 lr=0.001000 Epoch[041] Batch [1079]/[1320] Speed: 223.444038 samples/sec accuracy=81.753472 lr=0.001000 Epoch[041] Batch [1099]/[1320] Speed: 206.082287 samples/sec accuracy=81.744318 lr=0.001000 Epoch[041] Batch [1119]/[1320] Speed: 224.990367 samples/sec accuracy=81.748047 lr=0.001000 Epoch[041] Batch [1139]/[1320] Speed: 219.883790 samples/sec accuracy=81.724232 lr=0.001000 Epoch[041] Batch [1159]/[1320] Speed: 218.689713 samples/sec accuracy=81.730199 lr=0.001000 Epoch[041] Batch [1179]/[1320] Speed: 208.123974 samples/sec accuracy=81.730667 lr=0.001000 Epoch[041] Batch [1199]/[1320] Speed: 226.006209 samples/sec accuracy=81.751302 lr=0.001000 Epoch[041] Batch [1219]/[1320] Speed: 205.097956 samples/sec accuracy=81.751409 lr=0.001000 Epoch[041] Batch [1239]/[1320] Speed: 230.036834 samples/sec accuracy=81.753402 lr=0.001000 Epoch[041] Batch [1259]/[1320] Speed: 205.726367 samples/sec accuracy=81.757192 lr=0.001000 Epoch[041] Batch [1279]/[1320] Speed: 229.430484 samples/sec accuracy=81.745605 lr=0.001000 Epoch[041] Batch [1299]/[1320] Speed: 220.252293 samples/sec accuracy=81.751202 lr=0.001000 Epoch[041] Batch [1319]/[1320] Speed: 291.198193 samples/sec accuracy=81.769058 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 041] training: accuracy=81.769058 [Epoch 041] speed: 214 samples/sec time cost: 897.690960 [Epoch 041] validation: acc-top1=46.385201 acc-top5=76.368199 wrote 2 events to disk Epoch[042] Batch [0019]/[1320] Speed: 109.831383 samples/sec accuracy=82.265625 lr=0.001000 Epoch[042] Batch [0039]/[1320] Speed: 199.111424 samples/sec accuracy=82.304688 lr=0.001000 Epoch[042] Batch [0059]/[1320] Speed: 250.481079 samples/sec accuracy=82.643229 lr=0.001000 Epoch[042] Batch [0079]/[1320] Speed: 212.769291 samples/sec accuracy=82.744141 lr=0.001000 Epoch[042] Batch [0099]/[1320] Speed: 231.659559 samples/sec accuracy=82.742188 lr=0.001000 Epoch[042] Batch [0119]/[1320] Speed: 218.168053 samples/sec accuracy=82.714844 lr=0.001000 Epoch[042] Batch [0139]/[1320] Speed: 212.187642 samples/sec accuracy=82.606027 lr=0.001000 Epoch[042] Batch [0159]/[1320] Speed: 220.574224 samples/sec accuracy=82.543945 lr=0.001000 Epoch[042] Batch [0179]/[1320] Speed: 213.694807 samples/sec accuracy=82.534722 lr=0.001000 Epoch[042] Batch [0199]/[1320] Speed: 205.792943 samples/sec accuracy=82.535156 lr=0.001000 Epoch[042] Batch 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Epoch[042] Batch [0439]/[1320] Speed: 223.871920 samples/sec accuracy=82.492898 lr=0.001000 Epoch[042] Batch [0459]/[1320] Speed: 210.814395 samples/sec accuracy=82.518682 lr=0.001000 Epoch[042] Batch [0479]/[1320] Speed: 229.252183 samples/sec accuracy=82.555339 lr=0.001000 Epoch[042] Batch [0499]/[1320] Speed: 201.290859 samples/sec accuracy=82.478125 lr=0.001000 Epoch[042] Batch [0519]/[1320] Speed: 235.004647 samples/sec accuracy=82.451923 lr=0.001000 Epoch[042] Batch [0539]/[1320] Speed: 210.408702 samples/sec accuracy=82.453704 lr=0.001000 Epoch[042] Batch [0559]/[1320] Speed: 214.728928 samples/sec accuracy=82.491629 lr=0.001000 Epoch[042] Batch [0579]/[1320] Speed: 226.383771 samples/sec accuracy=82.494612 lr=0.001000 Epoch[042] Batch [0599]/[1320] Speed: 207.681250 samples/sec accuracy=82.507812 lr=0.001000 Epoch[042] Batch [0619]/[1320] Speed: 228.175469 samples/sec accuracy=82.489919 lr=0.001000 Epoch[042] Batch [0639]/[1320] Speed: 192.607262 samples/sec accuracy=82.475586 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accuracy=82.472747 lr=0.001000 Epoch[042] Batch [0879]/[1320] Speed: 221.844326 samples/sec accuracy=82.468040 lr=0.001000 Epoch[042] Batch [0899]/[1320] Speed: 214.198671 samples/sec accuracy=82.457465 lr=0.001000 Epoch[042] Batch [0919]/[1320] Speed: 221.967994 samples/sec accuracy=82.470279 lr=0.001000 Epoch[042] Batch [0939]/[1320] Speed: 213.732686 samples/sec accuracy=82.490858 lr=0.001000 Epoch[042] Batch [0959]/[1320] Speed: 216.998360 samples/sec accuracy=82.506510 lr=0.001000 Epoch[042] Batch [0979]/[1320] Speed: 221.141713 samples/sec accuracy=82.514349 lr=0.001000 Epoch[042] Batch [0999]/[1320] Speed: 197.435731 samples/sec accuracy=82.529688 lr=0.001000 Epoch[042] Batch [1019]/[1320] Speed: 241.320492 samples/sec accuracy=82.544424 lr=0.001000 Epoch[042] Batch [1039]/[1320] Speed: 206.546522 samples/sec accuracy=82.566106 lr=0.001000 Epoch[042] Batch [1059]/[1320] Speed: 228.488046 samples/sec accuracy=82.587706 lr=0.001000 Epoch[042] Batch [1079]/[1320] Speed: 218.484524 samples/sec accuracy=82.592593 lr=0.001000 Epoch[042] Batch [1099]/[1320] Speed: 211.020838 samples/sec accuracy=82.607955 lr=0.001000 Epoch[042] Batch [1119]/[1320] Speed: 235.321430 samples/sec accuracy=82.633231 lr=0.001000 Epoch[042] Batch [1139]/[1320] Speed: 190.673674 samples/sec accuracy=82.636376 lr=0.001000 Epoch[042] Batch [1159]/[1320] Speed: 235.895236 samples/sec accuracy=82.639413 lr=0.001000 Epoch[042] Batch [1179]/[1320] Speed: 209.785101 samples/sec accuracy=82.654926 lr=0.001000 Epoch[042] Batch [1199]/[1320] Speed: 230.537852 samples/sec accuracy=82.697917 lr=0.001000 Epoch[042] Batch [1219]/[1320] Speed: 210.524465 samples/sec accuracy=82.697874 lr=0.001000 Epoch[042] Batch [1239]/[1320] Speed: 210.371514 samples/sec accuracy=82.694682 lr=0.001000 Epoch[042] Batch [1259]/[1320] Speed: 218.488530 samples/sec accuracy=82.678571 lr=0.001000 Epoch[042] Batch [1279]/[1320] Speed: 224.394037 samples/sec accuracy=82.689209 lr=0.001000 Epoch[042] Batch [1299]/[1320] Speed: 227.377830 samples/sec accuracy=82.702524 lr=0.001000 Epoch[042] Batch [1319]/[1320] Speed: 279.038914 samples/sec accuracy=82.687618 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 042] training: accuracy=82.687618 [Epoch 042] speed: 214 samples/sec time cost: 899.303143 [Epoch 042] validation: acc-top1=46.118038 acc-top5=76.267001 wrote 2 events to disk Epoch[043] Batch [0019]/[1319] Speed: 106.488789 samples/sec accuracy=84.257812 lr=0.001000 Epoch[043] Batch [0039]/[1319] Speed: 210.475729 samples/sec accuracy=84.375000 lr=0.001000 Epoch[043] Batch [0059]/[1319] Speed: 235.983750 samples/sec accuracy=84.114583 lr=0.001000 Epoch[043] Batch [0079]/[1319] Speed: 200.901073 samples/sec accuracy=83.925781 lr=0.001000 Epoch[043] Batch 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accuracy=83.540963 lr=0.001000 Epoch[043] Batch [0759]/[1319] Speed: 224.544730 samples/sec accuracy=83.537212 lr=0.001000 Epoch[043] Batch [0779]/[1319] Speed: 213.462259 samples/sec accuracy=83.511619 lr=0.001000 Epoch[043] Batch [0799]/[1319] Speed: 198.309246 samples/sec accuracy=83.492188 lr=0.001000 Epoch[043] Batch [0819]/[1319] Speed: 242.765515 samples/sec accuracy=83.487043 lr=0.001000 Epoch[043] Batch [0839]/[1319] Speed: 206.215086 samples/sec accuracy=83.467262 lr=0.001000 Epoch[043] Batch [0859]/[1319] Speed: 235.106685 samples/sec accuracy=83.480196 lr=0.001000 Epoch[043] Batch [0879]/[1319] Speed: 206.098984 samples/sec accuracy=83.495206 lr=0.001000 Epoch[043] Batch [0899]/[1319] Speed: 204.330808 samples/sec accuracy=83.471354 lr=0.001000 Epoch[043] Batch [0919]/[1319] Speed: 223.533802 samples/sec accuracy=83.481658 lr=0.001000 Epoch[043] Batch [0939]/[1319] Speed: 230.168800 samples/sec accuracy=83.449136 lr=0.001000 Epoch[043] Batch [0959]/[1319] Speed: 212.901837 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209.552036 samples/sec accuracy=83.467956 lr=0.001000 Epoch[043] Batch [1199]/[1319] Speed: 225.272818 samples/sec accuracy=83.450521 lr=0.001000 Epoch[043] Batch [1219]/[1319] Speed: 213.559793 samples/sec accuracy=83.450948 lr=0.001000 Epoch[043] Batch [1239]/[1319] Speed: 223.590464 samples/sec accuracy=83.459551 lr=0.001000 Epoch[043] Batch [1259]/[1319] Speed: 206.915113 samples/sec accuracy=83.459821 lr=0.001000 Epoch[043] Batch [1279]/[1319] Speed: 203.861872 samples/sec accuracy=83.438110 lr=0.001000 Epoch[043] Batch [1299]/[1319] Speed: 261.383906 samples/sec accuracy=83.436899 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 043] training: accuracy=83.426128 [Epoch 043] speed: 214 samples/sec time cost: 896.408458 [Epoch 043] validation: acc-top1=46.247571 acc-top5=76.226522 wrote 2 events to disk Epoch[044] Batch [0019]/[1320] Speed: 105.403730 samples/sec accuracy=82.773438 lr=0.001000 Epoch[044] Batch [0039]/[1320] Speed: 196.451785 samples/sec accuracy=83.671875 lr=0.001000 Epoch[044] Batch [0059]/[1320] Speed: 242.243206 samples/sec accuracy=84.036458 lr=0.001000 Epoch[044] Batch [0079]/[1320] Speed: 212.109221 samples/sec accuracy=83.925781 lr=0.001000 Epoch[044] Batch [0099]/[1320] Speed: 219.378224 samples/sec accuracy=84.125000 lr=0.001000 Epoch[044] Batch [0119]/[1320] Speed: 236.812305 samples/sec accuracy=84.147135 lr=0.001000 Epoch[044] Batch [0139]/[1320] Speed: 202.365716 samples/sec accuracy=84.202009 lr=0.001000 Epoch[044] Batch [0159]/[1320] Speed: 222.911426 samples/sec accuracy=84.184570 lr=0.001000 Epoch[044] Batch [0179]/[1320] Speed: 218.240647 samples/sec accuracy=84.053819 lr=0.001000 Epoch[044] Batch [0199]/[1320] Speed: 205.474338 samples/sec accuracy=83.972656 lr=0.001000 Epoch[044] Batch [0219]/[1320] Speed: 242.772563 samples/sec accuracy=83.867188 lr=0.001000 Epoch[044] Batch [0239]/[1320] Speed: 209.274779 samples/sec accuracy=83.870443 lr=0.001000 Epoch[044] Batch [0259]/[1320] Speed: 216.510575 samples/sec accuracy=83.924279 lr=0.001000 Epoch[044] Batch [0279]/[1320] Speed: 232.757925 samples/sec accuracy=83.895089 lr=0.001000 Epoch[044] Batch [0299]/[1320] Speed: 209.491478 samples/sec accuracy=83.846354 lr=0.001000 Epoch[044] Batch [0319]/[1320] Speed: 231.036597 samples/sec accuracy=83.850098 lr=0.001000 Epoch[044] Batch [0339]/[1320] Speed: 214.487201 samples/sec accuracy=83.759191 lr=0.001000 Epoch[044] Batch [0359]/[1320] Speed: 216.916637 samples/sec accuracy=83.817274 lr=0.001000 Epoch[044] Batch [0379]/[1320] Speed: 213.113719 samples/sec accuracy=83.801398 lr=0.001000 Epoch[044] Batch [0399]/[1320] Speed: 214.622609 samples/sec accuracy=83.794922 lr=0.001000 Epoch[044] Batch [0419]/[1320] Speed: 238.697819 samples/sec accuracy=83.820685 lr=0.001000 Epoch[044] Batch [0439]/[1320] Speed: 200.973546 samples/sec accuracy=83.808594 lr=0.001000 Epoch[044] Batch [0459]/[1320] Speed: 213.046092 samples/sec accuracy=83.826427 lr=0.001000 Epoch[044] Batch [0479]/[1320] Speed: 217.591436 samples/sec accuracy=83.855794 lr=0.001000 Epoch[044] Batch [0499]/[1320] Speed: 210.971797 samples/sec accuracy=83.906250 lr=0.001000 Epoch[044] Batch [0519]/[1320] Speed: 229.362989 samples/sec accuracy=83.915264 lr=0.001000 Epoch[044] Batch [0539]/[1320] Speed: 213.128207 samples/sec accuracy=83.975694 lr=0.001000 Epoch[044] Batch [0559]/[1320] Speed: 227.618859 samples/sec accuracy=84.033203 lr=0.001000 Epoch[044] Batch [0579]/[1320] Speed: 210.974135 samples/sec accuracy=84.044989 lr=0.001000 Epoch[044] Batch [0599]/[1320] Speed: 218.271117 samples/sec accuracy=84.044271 lr=0.001000 Epoch[044] Batch [0619]/[1320] Speed: 217.173379 samples/sec accuracy=84.047379 lr=0.001000 Epoch[044] Batch [0639]/[1320] Speed: 231.582575 samples/sec accuracy=84.025879 lr=0.001000 Epoch[044] Batch [0659]/[1320] Speed: 209.299822 samples/sec accuracy=84.044744 lr=0.001000 Epoch[044] Batch [0679]/[1320] Speed: 218.809718 samples/sec accuracy=84.006204 lr=0.001000 Epoch[044] Batch [0699]/[1320] Speed: 214.493118 samples/sec accuracy=83.975446 lr=0.001000 Epoch[044] Batch [0719]/[1320] Speed: 207.336091 samples/sec accuracy=83.974609 lr=0.001000 Epoch[044] Batch [0739]/[1320] Speed: 223.009673 samples/sec accuracy=83.982264 lr=0.001000 Epoch[044] Batch [0759]/[1320] Speed: 228.076402 samples/sec accuracy=83.977179 lr=0.001000 Epoch[044] Batch [0779]/[1320] Speed: 208.767631 samples/sec accuracy=83.941306 lr=0.001000 Epoch[044] Batch [0799]/[1320] Speed: 223.674778 samples/sec accuracy=83.916016 lr=0.001000 Epoch[044] Batch [0819]/[1320] Speed: 191.759513 samples/sec accuracy=83.926258 lr=0.001000 Epoch[044] Batch [0839]/[1320] Speed: 250.663180 samples/sec accuracy=83.936012 lr=0.001000 Epoch[044] Batch [0859]/[1320] Speed: 189.017466 samples/sec accuracy=83.958939 lr=0.001000 Epoch[044] Batch [0879]/[1320] Speed: 236.643392 samples/sec accuracy=83.950639 lr=0.001000 Epoch[044] Batch [0899]/[1320] Speed: 190.960771 samples/sec accuracy=83.953993 lr=0.001000 Epoch[044] Batch [0919]/[1320] Speed: 252.398551 samples/sec accuracy=83.958899 lr=0.001000 Epoch[044] Batch [0939]/[1320] Speed: 197.707843 samples/sec accuracy=83.976064 lr=0.001000 Epoch[044] Batch [0959]/[1320] Speed: 238.815843 samples/sec accuracy=83.986003 lr=0.001000 Epoch[044] Batch [0979]/[1320] Speed: 214.066990 samples/sec accuracy=83.979592 lr=0.001000 Epoch[044] Batch [0999]/[1320] Speed: 229.177680 samples/sec accuracy=83.977344 lr=0.001000 Epoch[044] Batch [1019]/[1320] Speed: 207.019842 samples/sec accuracy=83.965993 lr=0.001000 Epoch[044] Batch [1039]/[1320] Speed: 235.597324 samples/sec accuracy=83.961088 lr=0.001000 Epoch[044] Batch [1059]/[1320] Speed: 213.138902 samples/sec accuracy=83.940890 lr=0.001000 Epoch[044] Batch [1079]/[1320] Speed: 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[Epoch 045] training: accuracy=84.533617 [Epoch 045] speed: 214 samples/sec time cost: 895.861560 [Epoch 045] validation: acc-top1=46.198996 acc-top5=76.141516 wrote 2 events to disk Epoch[046] Batch [0019]/[1319] Speed: 107.016295 samples/sec accuracy=84.765625 lr=0.001000 Epoch[046] Batch [0039]/[1319] Speed: 211.325193 samples/sec accuracy=84.902344 lr=0.001000 Epoch[046] Batch [0059]/[1319] Speed: 234.664295 samples/sec accuracy=85.026042 lr=0.001000 Epoch[046] Batch [0079]/[1319] Speed: 211.342371 samples/sec accuracy=84.970703 lr=0.001000 Epoch[046] Batch [0099]/[1319] Speed: 230.222064 samples/sec accuracy=84.945312 lr=0.001000 Epoch[046] Batch [0119]/[1319] Speed: 200.196371 samples/sec accuracy=84.817708 lr=0.001000 Epoch[046] Batch [0139]/[1319] Speed: 246.841769 samples/sec accuracy=84.877232 lr=0.001000 Epoch[046] Batch [0159]/[1319] Speed: 188.861982 samples/sec accuracy=84.956055 lr=0.001000 Epoch[046] Batch [0179]/[1319] Speed: 247.293893 samples/sec accuracy=84.865451 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Epoch[046] Batch [1279]/[1319] Speed: 202.006228 samples/sec accuracy=84.816284 lr=0.001000 Epoch[046] Batch [1299]/[1319] Speed: 249.318372 samples/sec accuracy=84.825120 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 046] training: accuracy=84.835813 [Epoch 046] speed: 215 samples/sec time cost: 894.558724 [Epoch 046] validation: acc-top1=46.405440 acc-top5=76.226522 wrote 2 events to disk Epoch[047] Batch [0019]/[1320] Speed: 104.888321 samples/sec accuracy=84.531250 lr=0.001000 Epoch[047] Batch [0039]/[1320] Speed: 202.748676 samples/sec accuracy=85.058594 lr=0.001000 Epoch[047] Batch [0059]/[1320] Speed: 240.978639 samples/sec accuracy=84.973958 lr=0.001000 Epoch[047] Batch [0079]/[1320] Speed: 209.593701 samples/sec 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Batch [0179]/[0193]: evaluated [Epoch 047] training: accuracy=85.242069 [Epoch 047] speed: 215 samples/sec time cost: 895.363196 [Epoch 047] validation: acc-top1=46.154469 acc-top5=75.700291 wrote 2 events to disk Epoch[048] Batch [0019]/[1320] Speed: 108.485302 samples/sec accuracy=86.562500 lr=0.001000 Epoch[048] Batch [0039]/[1320] Speed: 208.111135 samples/sec accuracy=86.210938 lr=0.001000 Epoch[048] Batch [0059]/[1320] Speed: 236.628947 samples/sec accuracy=86.263021 lr=0.001000 Epoch[048] Batch [0079]/[1320] Speed: 204.514017 samples/sec accuracy=86.113281 lr=0.001000 Epoch[048] Batch [0099]/[1320] Speed: 239.849026 samples/sec accuracy=86.039062 lr=0.001000 Epoch[048] Batch [0119]/[1320] Speed: 220.545238 samples/sec accuracy=85.996094 lr=0.001000 Epoch[048] Batch [0139]/[1320] Speed: 221.942800 samples/sec accuracy=86.060268 lr=0.001000 Epoch[048] Batch [0159]/[1320] Speed: 198.374084 samples/sec accuracy=85.976562 lr=0.001000 Epoch[048] Batch [0179]/[1320] Speed: 234.554053 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lr=0.001000 Epoch[048] Batch [1059]/[1320] Speed: 220.579122 samples/sec accuracy=85.664800 lr=0.001000 Epoch[048] Batch [1079]/[1320] Speed: 218.041259 samples/sec accuracy=85.655382 lr=0.001000 Epoch[048] Batch [1099]/[1320] Speed: 218.238123 samples/sec accuracy=85.642045 lr=0.001000 Epoch[048] Batch [1119]/[1320] Speed: 212.317990 samples/sec accuracy=85.629883 lr=0.001000 Epoch[048] Batch [1139]/[1320] Speed: 219.196139 samples/sec accuracy=85.628427 lr=0.001000 Epoch[048] Batch [1159]/[1320] Speed: 213.799957 samples/sec accuracy=85.623653 lr=0.001000 Epoch[048] Batch [1179]/[1320] Speed: 229.582906 samples/sec accuracy=85.636917 lr=0.001000 Epoch[048] Batch [1199]/[1320] Speed: 221.558250 samples/sec accuracy=85.637370 lr=0.001000 Epoch[048] Batch [1219]/[1320] Speed: 219.308177 samples/sec accuracy=85.628202 lr=0.001000 Epoch[048] Batch [1239]/[1320] Speed: 207.913483 samples/sec accuracy=85.643901 lr=0.001000 Epoch[048] Batch [1259]/[1320] Speed: 239.076636 samples/sec accuracy=85.648562 lr=0.001000 Epoch[048] Batch [1279]/[1320] Speed: 210.273406 samples/sec accuracy=85.626221 lr=0.001000 Epoch[048] Batch [1299]/[1320] Speed: 219.107097 samples/sec accuracy=85.631611 lr=0.001000 Epoch[048] Batch [1319]/[1320] Speed: 304.939167 samples/sec accuracy=85.620265 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 048] training: accuracy=85.620265 [Epoch 048] speed: 215 samples/sec time cost: 893.029075 [Epoch 048] validation: acc-top1=46.186852 acc-top5=75.878400 wrote 2 events to disk Epoch[049] Batch [0019]/[1319] Speed: 110.909544 samples/sec accuracy=85.195312 lr=0.001000 Epoch[049] Batch [0039]/[1319] Speed: 209.453244 samples/sec accuracy=85.839844 lr=0.001000 Epoch[049] Batch [0059]/[1319] Speed: 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samples/sec accuracy=85.968339 lr=0.001000 Epoch[049] Batch [1159]/[1319] Speed: 221.512785 samples/sec accuracy=85.969828 lr=0.001000 Epoch[049] Batch [1179]/[1319] Speed: 222.231624 samples/sec accuracy=85.985169 lr=0.001000 Epoch[049] Batch [1199]/[1319] Speed: 215.509860 samples/sec accuracy=86.001302 lr=0.001000 Epoch[049] Batch [1219]/[1319] Speed: 223.985262 samples/sec accuracy=86.001537 lr=0.001000 Epoch[049] Batch [1239]/[1319] Speed: 226.837482 samples/sec accuracy=85.996724 lr=0.001000 Epoch[049] Batch [1259]/[1319] Speed: 214.528044 samples/sec accuracy=85.992684 lr=0.001000 Epoch[049] Batch [1279]/[1319] Speed: 221.521509 samples/sec accuracy=85.966797 lr=0.001000 Epoch[049] Batch [1299]/[1319] Speed: 223.688943 samples/sec accuracy=85.969952 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 049] training: accuracy=85.964746 [Epoch 049] speed: 216 samples/sec time cost: 890.901439 [Epoch 049] validation: acc-top1=46.154469 acc-top5=75.935071 wrote 2 events to disk Epoch[050] Batch [0019]/[1320] Speed: 109.245563 samples/sec accuracy=86.875000 lr=0.001000 Epoch[050] Batch [0039]/[1320] Speed: 214.313142 samples/sec accuracy=86.210938 lr=0.001000 Epoch[050] Batch [0059]/[1320] Speed: 225.204431 samples/sec accuracy=86.393229 lr=0.001000 Epoch[050] Batch [0079]/[1320] Speed: 222.834656 samples/sec accuracy=86.699219 lr=0.001000 Epoch[050] Batch [0099]/[1320] Speed: 218.980643 samples/sec accuracy=86.851562 lr=0.001000 Epoch[050] Batch [0119]/[1320] Speed: 220.044244 samples/sec accuracy=86.881510 lr=0.001000 Epoch[050] Batch [0139]/[1320] Speed: 226.680902 samples/sec accuracy=86.780134 lr=0.001000 Epoch[050] Batch [0159]/[1320] Speed: 208.719291 samples/sec accuracy=86.679688 lr=0.001000 Epoch[050] Batch 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accuracy=86.444360 lr=0.001000 Epoch[050] Batch [0839]/[1320] Speed: 206.517284 samples/sec accuracy=86.442522 lr=0.001000 Epoch[050] Batch [0859]/[1320] Speed: 233.792926 samples/sec accuracy=86.404433 lr=0.001000 Epoch[050] Batch [0879]/[1320] Speed: 201.320146 samples/sec accuracy=86.383168 lr=0.001000 Epoch[050] Batch [0899]/[1320] Speed: 237.604276 samples/sec accuracy=86.330729 lr=0.001000 Epoch[050] Batch [0919]/[1320] Speed: 198.288602 samples/sec accuracy=86.351902 lr=0.001000 Epoch[050] Batch [0939]/[1320] Speed: 227.595011 samples/sec accuracy=86.356383 lr=0.001000 Epoch[050] Batch [0959]/[1320] Speed: 215.698946 samples/sec accuracy=86.345215 lr=0.001000 Epoch[050] Batch [0979]/[1320] Speed: 214.431375 samples/sec accuracy=86.332908 lr=0.001000 Epoch[050] Batch [0999]/[1320] Speed: 223.861040 samples/sec accuracy=86.343750 lr=0.001000 Epoch[050] Batch [1019]/[1320] Speed: 223.529446 samples/sec accuracy=86.375613 lr=0.001000 Epoch[050] Batch [1039]/[1320] Speed: 218.610878 samples/sec accuracy=86.371695 lr=0.001000 Epoch[050] Batch [1059]/[1320] Speed: 220.437368 samples/sec accuracy=86.364239 lr=0.001000 Epoch[050] Batch [1079]/[1320] Speed: 222.035196 samples/sec accuracy=86.375145 lr=0.001000 Epoch[050] Batch [1099]/[1320] Speed: 214.076900 samples/sec accuracy=86.365057 lr=0.001000 Epoch[050] Batch [1119]/[1320] Speed: 227.331360 samples/sec accuracy=86.360910 lr=0.001000 Epoch[050] Batch [1139]/[1320] Speed: 198.865207 samples/sec accuracy=86.344572 lr=0.001000 Epoch[050] Batch [1159]/[1320] Speed: 241.032290 samples/sec accuracy=86.347656 lr=0.001000 Epoch[050] Batch [1179]/[1320] Speed: 198.254045 samples/sec accuracy=86.338056 lr=0.001000 Epoch[050] Batch [1199]/[1320] Speed: 237.588093 samples/sec accuracy=86.324870 lr=0.001000 Epoch[050] Batch [1219]/[1320] Speed: 209.398599 samples/sec accuracy=86.316598 lr=0.001000 Epoch[050] Batch [1239]/[1320] Speed: 225.156791 samples/sec accuracy=86.311744 lr=0.001000 Epoch[050] Batch [1259]/[1320] Speed: 213.626178 samples/sec accuracy=86.315104 lr=0.001000 Epoch[050] Batch [1279]/[1320] Speed: 214.801257 samples/sec accuracy=86.336060 lr=0.001000 Epoch[050] Batch [1299]/[1320] Speed: 257.956149 samples/sec accuracy=86.328726 lr=0.001000 Epoch[050] Batch [1319]/[1320] Speed: 267.891095 samples/sec accuracy=86.328717 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 050] training: accuracy=86.328717 [Epoch 050] speed: 215 samples/sec time cost: 892.137222 [Epoch 050] validation: acc-top1=45.992552 acc-top5=75.744819 wrote 2 events to disk Epoch[051] Batch [0019]/[1319] Speed: 105.262838 samples/sec accuracy=86.796875 lr=0.001000 Epoch[051] Batch [0039]/[1319] Speed: 218.320667 samples/sec accuracy=86.796875 lr=0.001000 Epoch[051] Batch 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accuracy=86.545759 lr=0.001000 Epoch[051] Batch [0719]/[1319] Speed: 221.632647 samples/sec accuracy=86.560330 lr=0.001000 Epoch[051] Batch [0739]/[1319] Speed: 203.452368 samples/sec accuracy=86.597340 lr=0.001000 Epoch[051] Batch [0759]/[1319] Speed: 244.582867 samples/sec accuracy=86.574836 lr=0.001000 Epoch[051] Batch [0779]/[1319] Speed: 210.564164 samples/sec accuracy=86.548478 lr=0.001000 Epoch[051] Batch [0799]/[1319] Speed: 213.696967 samples/sec accuracy=86.536133 lr=0.001000 Epoch[051] Batch [0819]/[1319] Speed: 224.030668 samples/sec accuracy=86.496761 lr=0.001000 Epoch[051] Batch [0839]/[1319] Speed: 207.207799 samples/sec accuracy=86.498326 lr=0.001000 Epoch[051] Batch [0859]/[1319] Speed: 219.828599 samples/sec accuracy=86.473474 lr=0.001000 Epoch[051] Batch [0879]/[1319] Speed: 214.365080 samples/sec accuracy=86.478161 lr=0.001000 Epoch[051] Batch [0899]/[1319] Speed: 230.289863 samples/sec accuracy=86.480903 lr=0.001000 Epoch[051] Batch [0919]/[1319] Speed: 213.921532 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227.068382 samples/sec accuracy=86.472039 lr=0.001000 Epoch[051] Batch [1159]/[1319] Speed: 218.372390 samples/sec accuracy=86.477640 lr=0.001000 Epoch[051] Batch [1179]/[1319] Speed: 227.088278 samples/sec accuracy=86.491658 lr=0.001000 Epoch[051] Batch [1199]/[1319] Speed: 204.350913 samples/sec accuracy=86.479167 lr=0.001000 Epoch[051] Batch [1219]/[1319] Speed: 236.731665 samples/sec accuracy=86.479252 lr=0.001000 Epoch[051] Batch [1239]/[1319] Speed: 206.397608 samples/sec accuracy=86.469254 lr=0.001000 Epoch[051] Batch [1259]/[1319] Speed: 244.007671 samples/sec accuracy=86.462054 lr=0.001000 Epoch[051] Batch [1279]/[1319] Speed: 189.603766 samples/sec accuracy=86.476440 lr=0.001000 Epoch[051] Batch [1299]/[1319] Speed: 264.255665 samples/sec accuracy=86.471755 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 051] training: accuracy=86.487751 [Epoch 051] speed: 215 samples/sec time cost: 891.578719 [Epoch 051] validation: acc-top1=46.000648 acc-top5=75.724579 wrote 2 events to disk Epoch[052] Batch [0019]/[1320] Speed: 100.180786 samples/sec accuracy=87.031250 lr=0.001000 Epoch[052] Batch [0039]/[1320] Speed: 207.234534 samples/sec accuracy=86.953125 lr=0.001000 Epoch[052] Batch [0059]/[1320] Speed: 244.619297 samples/sec accuracy=86.927083 lr=0.001000 Epoch[052] Batch [0079]/[1320] Speed: 213.625375 samples/sec accuracy=87.119141 lr=0.001000 Epoch[052] Batch [0099]/[1320] Speed: 223.476327 samples/sec accuracy=87.117188 lr=0.001000 Epoch[052] Batch [0119]/[1320] Speed: 230.541688 samples/sec accuracy=87.109375 lr=0.001000 Epoch[052] Batch [0139]/[1320] Speed: 211.063695 samples/sec accuracy=87.036830 lr=0.001000 Epoch[052] Batch [0159]/[1320] Speed: 229.394595 samples/sec accuracy=87.050781 lr=0.001000 Epoch[052] Batch [0179]/[1320] Speed: 222.302469 samples/sec accuracy=86.940104 lr=0.001000 Epoch[052] Batch [0199]/[1320] Speed: 211.088379 samples/sec accuracy=86.882812 lr=0.001000 Epoch[052] Batch [0219]/[1320] Speed: 228.706004 samples/sec accuracy=86.789773 lr=0.001000 Epoch[052] Batch [0239]/[1320] Speed: 206.002105 samples/sec accuracy=86.764323 lr=0.001000 Epoch[052] Batch [0259]/[1320] Speed: 215.396972 samples/sec accuracy=86.781851 lr=0.001000 Epoch[052] Batch [0279]/[1320] Speed: 232.652012 samples/sec accuracy=86.830357 lr=0.001000 Epoch[052] Batch [0299]/[1320] Speed: 207.097983 samples/sec accuracy=86.825521 lr=0.001000 Epoch[052] Batch [0319]/[1320] Speed: 242.046778 samples/sec accuracy=86.791992 lr=0.001000 Epoch[052] Batch [0339]/[1320] Speed: 214.148052 samples/sec accuracy=86.849724 lr=0.001000 Epoch[052] Batch [0359]/[1320] Speed: 235.681450 samples/sec accuracy=86.710069 lr=0.001000 Epoch[052] Batch [0379]/[1320] Speed: 208.688416 samples/sec accuracy=86.724918 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Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 053] training: accuracy=86.902225 [Epoch 053] speed: 216 samples/sec time cost: 893.082915 [Epoch 053] validation: acc-top1=45.883258 acc-top5=75.534326 wrote 2 events to disk Epoch[054] Batch [0019]/[1319] Speed: 109.075852 samples/sec accuracy=86.445312 lr=0.001000 Epoch[054] Batch [0039]/[1319] Speed: 217.020241 samples/sec accuracy=87.167969 lr=0.001000 Epoch[054] Batch [0059]/[1319] Speed: 225.862707 samples/sec accuracy=87.265625 lr=0.001000 Epoch[054] Batch [0079]/[1319] Speed: 212.839522 samples/sec accuracy=87.451172 lr=0.001000 Epoch[054] Batch [0099]/[1319] Speed: 233.181133 samples/sec accuracy=87.437500 lr=0.001000 Epoch[054] Batch [0119]/[1319] Speed: 210.553070 samples/sec accuracy=87.428385 lr=0.001000 Epoch[054] Batch [0139]/[1319] Speed: 230.363405 samples/sec accuracy=87.366071 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Epoch[054] Batch [1239]/[1319] Speed: 215.403199 samples/sec accuracy=87.164189 lr=0.001000 Epoch[054] Batch [1259]/[1319] Speed: 218.609035 samples/sec accuracy=87.167659 lr=0.001000 Epoch[054] Batch [1279]/[1319] Speed: 219.760180 samples/sec accuracy=87.163696 lr=0.001000 Epoch[054] Batch [1299]/[1319] Speed: 235.730392 samples/sec accuracy=87.156250 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 054] training: accuracy=87.151132 [Epoch 054] speed: 216 samples/sec time cost: 888.802940 [Epoch 054] validation: acc-top1=45.652526 acc-top5=75.590997 wrote 2 events to disk Epoch[055] Batch [0019]/[1320] Speed: 106.158689 samples/sec accuracy=86.796875 lr=0.001000 Epoch[055] Batch [0039]/[1320] Speed: 207.719466 samples/sec 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[0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 055] training: accuracy=87.398793 [Epoch 055] speed: 217 samples/sec time cost: 887.113708 [Epoch 055] validation: acc-top1=45.575615 acc-top5=75.396697 wrote 2 events to disk Epoch[056] Batch [0019]/[1320] Speed: 105.948980 samples/sec accuracy=87.343750 lr=0.001000 Epoch[056] Batch [0039]/[1320] Speed: 210.677511 samples/sec accuracy=87.578125 lr=0.001000 Epoch[056] Batch [0059]/[1320] Speed: 234.975605 samples/sec accuracy=87.734375 lr=0.001000 Epoch[056] Batch [0079]/[1320] Speed: 219.083189 samples/sec accuracy=87.802734 lr=0.001000 Epoch[056] Batch [0099]/[1320] Speed: 209.155888 samples/sec accuracy=87.796875 lr=0.001000 Epoch[056] Batch [0119]/[1320] Speed: 242.606840 samples/sec accuracy=87.760417 lr=0.001000 Epoch[056] Batch [0139]/[1320] Speed: 218.498556 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accuracy=87.538422 lr=0.001000 Epoch[056] Batch [1239]/[1320] Speed: 203.025172 samples/sec accuracy=87.540323 lr=0.001000 Epoch[056] Batch [1259]/[1320] Speed: 240.552229 samples/sec accuracy=87.545263 lr=0.001000 Epoch[056] Batch [1279]/[1320] Speed: 215.315415 samples/sec accuracy=87.558594 lr=0.001000 Epoch[056] Batch [1299]/[1320] Speed: 239.217438 samples/sec accuracy=87.571514 lr=0.001000 Epoch[056] Batch [1319]/[1320] Speed: 269.791062 samples/sec accuracy=87.571023 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 056] training: accuracy=87.571023 [Epoch 056] speed: 217 samples/sec time cost: 886.667141 [Epoch 056] validation: acc-top1=45.531088 acc-top5=75.319786 wrote 2 events to disk Epoch[057] Batch [0019]/[1319] Speed: 108.400786 samples/sec accuracy=89.257812 lr=0.001000 Epoch[057] Batch [0039]/[1319] Speed: 196.256213 samples/sec accuracy=88.691406 lr=0.001000 Epoch[057] Batch [0059]/[1319] Speed: 245.696480 samples/sec accuracy=88.476562 lr=0.001000 Epoch[057] Batch [0079]/[1319] Speed: 218.744410 samples/sec accuracy=87.998047 lr=0.001000 Epoch[057] Batch [0099]/[1319] Speed: 208.841488 samples/sec accuracy=88.039062 lr=0.001000 Epoch[057] Batch [0119]/[1319] Speed: 226.008406 samples/sec accuracy=88.105469 lr=0.001000 Epoch[057] Batch [0139]/[1319] Speed: 229.501987 samples/sec accuracy=88.281250 lr=0.001000 Epoch[057] Batch [0159]/[1319] Speed: 217.346560 samples/sec accuracy=88.251953 lr=0.001000 Epoch[057] Batch [0179]/[1319] Speed: 228.383956 samples/sec accuracy=88.133681 lr=0.001000 Epoch[057] Batch [0199]/[1319] Speed: 209.772318 samples/sec accuracy=88.074219 lr=0.001000 Epoch[057] Batch [0219]/[1319] Speed: 228.102822 samples/sec accuracy=88.142756 lr=0.001000 Epoch[057] Batch 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Epoch[057] Batch [0459]/[1319] Speed: 207.692651 samples/sec accuracy=88.111413 lr=0.001000 Epoch[057] Batch [0479]/[1319] Speed: 237.802862 samples/sec accuracy=88.116862 lr=0.001000 Epoch[057] Batch [0499]/[1319] Speed: 209.991712 samples/sec accuracy=88.109375 lr=0.001000 Epoch[057] Batch [0519]/[1319] Speed: 234.913823 samples/sec accuracy=88.076923 lr=0.001000 Epoch[057] Batch [0539]/[1319] Speed: 210.390921 samples/sec accuracy=88.030961 lr=0.001000 Epoch[057] Batch [0559]/[1319] Speed: 225.738906 samples/sec accuracy=88.049665 lr=0.001000 Epoch[057] Batch [0579]/[1319] Speed: 226.063132 samples/sec accuracy=88.034752 lr=0.001000 Epoch[057] Batch [0599]/[1319] Speed: 213.456700 samples/sec accuracy=88.044271 lr=0.001000 Epoch[057] Batch [0619]/[1319] Speed: 223.750953 samples/sec accuracy=88.064516 lr=0.001000 Epoch[057] Batch [0639]/[1319] Speed: 210.090260 samples/sec accuracy=88.048096 lr=0.001000 Epoch[057] Batch [0659]/[1319] Speed: 232.471474 samples/sec accuracy=88.035038 lr=0.001000 Epoch[057] Batch [0679]/[1319] Speed: 210.781094 samples/sec accuracy=88.020450 lr=0.001000 Epoch[057] Batch [0699]/[1319] Speed: 230.825688 samples/sec accuracy=88.037946 lr=0.001000 Epoch[057] Batch [0719]/[1319] Speed: 213.471239 samples/sec accuracy=88.045790 lr=0.001000 Epoch[057] Batch [0739]/[1319] Speed: 222.563707 samples/sec accuracy=88.031039 lr=0.001000 Epoch[057] Batch [0759]/[1319] Speed: 207.999126 samples/sec accuracy=88.020148 lr=0.001000 Epoch[057] Batch [0779]/[1319] Speed: 223.347991 samples/sec accuracy=87.985777 lr=0.001000 Epoch[057] Batch [0799]/[1319] Speed: 239.589027 samples/sec accuracy=87.990234 lr=0.001000 Epoch[057] Batch [0819]/[1319] Speed: 204.071146 samples/sec accuracy=87.992569 lr=0.001000 Epoch[057] Batch [0839]/[1319] Speed: 223.852406 samples/sec accuracy=88.004092 lr=0.001000 Epoch[057] Batch [0859]/[1319] Speed: 222.557701 samples/sec accuracy=87.997820 lr=0.001000 Epoch[057] Batch [0879]/[1319] Speed: 220.522019 samples/sec accuracy=87.987393 lr=0.001000 Epoch[057] Batch [0899]/[1319] Speed: 217.239581 samples/sec accuracy=87.958333 lr=0.001000 Epoch[057] Batch [0919]/[1319] Speed: 223.385921 samples/sec accuracy=87.945822 lr=0.001000 Epoch[057] Batch [0939]/[1319] Speed: 213.637760 samples/sec accuracy=87.976230 lr=0.001000 Epoch[057] Batch [0959]/[1319] Speed: 239.763457 samples/sec accuracy=87.962240 lr=0.001000 Epoch[057] Batch [0979]/[1319] Speed: 212.069050 samples/sec accuracy=87.946429 lr=0.001000 Epoch[057] Batch [0999]/[1319] Speed: 212.787802 samples/sec accuracy=87.918750 lr=0.001000 Epoch[057] Batch [1019]/[1319] Speed: 234.684616 samples/sec accuracy=87.905944 lr=0.001000 Epoch[057] Batch [1039]/[1319] Speed: 207.664268 samples/sec accuracy=87.899639 lr=0.001000 Epoch[057] Batch [1059]/[1319] Speed: 216.997575 samples/sec accuracy=87.888414 lr=0.001000 Epoch[057] Batch [1079]/[1319] Speed: 232.490949 samples/sec accuracy=87.879774 lr=0.001000 Epoch[057] Batch [1099]/[1319] Speed: 214.471683 samples/sec accuracy=87.876420 lr=0.001000 Epoch[057] Batch [1119]/[1319] Speed: 231.414654 samples/sec accuracy=87.867606 lr=0.001000 Epoch[057] Batch [1139]/[1319] Speed: 208.459860 samples/sec accuracy=87.874178 lr=0.001000 Epoch[057] Batch [1159]/[1319] Speed: 238.636865 samples/sec accuracy=87.875808 lr=0.001000 Epoch[057] Batch [1179]/[1319] Speed: 210.343395 samples/sec accuracy=87.868114 lr=0.001000 Epoch[057] Batch [1199]/[1319] Speed: 212.775603 samples/sec accuracy=87.873047 lr=0.001000 Epoch[057] Batch [1219]/[1319] Speed: 220.254299 samples/sec accuracy=87.865651 lr=0.001000 Epoch[057] Batch [1239]/[1319] Speed: 236.551345 samples/sec accuracy=87.851562 lr=0.001000 Epoch[057] Batch [1259]/[1319] Speed: 204.228991 samples/sec accuracy=87.851562 lr=0.001000 Epoch[057] Batch [1279]/[1319] Speed: 232.314862 samples/sec accuracy=87.845459 lr=0.001000 Epoch[057] Batch [1299]/[1319] Speed: 227.178529 samples/sec accuracy=87.850361 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 057] training: accuracy=87.849460 [Epoch 057] speed: 217 samples/sec time cost: 886.418868 [Epoch 057] validation: acc-top1=45.587759 acc-top5=75.400745 wrote 2 events to disk Epoch[058] Batch [0019]/[1320] Speed: 104.949257 samples/sec accuracy=88.281250 lr=0.001000 Epoch[058] Batch [0039]/[1320] Speed: 211.848749 samples/sec accuracy=88.515625 lr=0.001000 Epoch[058] Batch [0059]/[1320] Speed: 240.501119 samples/sec accuracy=88.359375 lr=0.001000 Epoch[058] Batch [0079]/[1320] Speed: 216.150264 samples/sec accuracy=88.310547 lr=0.001000 Epoch[058] Batch [0099]/[1320] Speed: 219.753177 samples/sec accuracy=88.250000 lr=0.001000 Epoch[058] Batch [0119]/[1320] Speed: 219.615667 samples/sec accuracy=88.398438 lr=0.001000 Epoch[058] Batch 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accuracy=88.139022 lr=0.001000 Epoch[058] Batch [0799]/[1320] Speed: 224.534734 samples/sec accuracy=88.115234 lr=0.001000 Epoch[058] Batch [0819]/[1320] Speed: 207.483440 samples/sec accuracy=88.091654 lr=0.001000 Epoch[058] Batch [0839]/[1320] Speed: 228.485454 samples/sec accuracy=88.097098 lr=0.001000 Epoch[058] Batch [0859]/[1320] Speed: 220.028810 samples/sec accuracy=88.086846 lr=0.001000 Epoch[058] Batch [0879]/[1320] Speed: 215.548537 samples/sec accuracy=88.083274 lr=0.001000 Epoch[058] Batch [0899]/[1320] Speed: 235.398975 samples/sec accuracy=88.078125 lr=0.001000 Epoch[058] Batch [0919]/[1320] Speed: 210.784288 samples/sec accuracy=88.096128 lr=0.001000 Epoch[058] Batch [0939]/[1320] Speed: 210.242156 samples/sec accuracy=88.084275 lr=0.001000 Epoch[058] Batch [0959]/[1320] Speed: 232.212671 samples/sec accuracy=88.094076 lr=0.001000 Epoch[058] Batch [0979]/[1320] Speed: 208.707031 samples/sec accuracy=88.112245 lr=0.001000 Epoch[058] Batch [0999]/[1320] Speed: 231.583978 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229.442079 samples/sec accuracy=88.123079 lr=0.001000 Epoch[058] Batch [1239]/[1320] Speed: 213.038771 samples/sec accuracy=88.113659 lr=0.001000 Epoch[058] Batch [1259]/[1320] Speed: 224.585243 samples/sec accuracy=88.107639 lr=0.001000 Epoch[058] Batch [1279]/[1320] Speed: 215.496807 samples/sec accuracy=88.110352 lr=0.001000 Epoch[058] Batch [1299]/[1320] Speed: 239.380472 samples/sec accuracy=88.105769 lr=0.001000 Epoch[058] Batch [1319]/[1320] Speed: 283.201467 samples/sec accuracy=88.100142 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 058] training: accuracy=88.100142 [Epoch 058] speed: 217 samples/sec time cost: 886.625030 [Epoch 058] validation: acc-top1=45.737532 acc-top5=75.271211 wrote 2 events to disk Epoch[059] Batch 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accuracy=88.278883 lr=0.001000 Epoch[059] Batch [0679]/[1319] Speed: 217.688942 samples/sec accuracy=88.277803 lr=0.001000 Epoch[059] Batch [0699]/[1319] Speed: 233.332379 samples/sec accuracy=88.286830 lr=0.001000 Epoch[059] Batch [0719]/[1319] Speed: 215.095331 samples/sec accuracy=88.294271 lr=0.001000 Epoch[059] Batch [0739]/[1319] Speed: 232.086388 samples/sec accuracy=88.277027 lr=0.001000 Epoch[059] Batch [0759]/[1319] Speed: 203.044256 samples/sec accuracy=88.278166 lr=0.001000 Epoch[059] Batch [0779]/[1319] Speed: 229.683915 samples/sec accuracy=88.261218 lr=0.001000 Epoch[059] Batch [0799]/[1319] Speed: 203.672588 samples/sec accuracy=88.247070 lr=0.001000 Epoch[059] Batch [0819]/[1319] Speed: 241.999797 samples/sec accuracy=88.232660 lr=0.001000 Epoch[059] Batch [0839]/[1319] Speed: 206.265918 samples/sec accuracy=88.257999 lr=0.001000 Epoch[059] Batch [0859]/[1319] Speed: 230.793959 samples/sec accuracy=88.247638 lr=0.001000 Epoch[059] Batch [0879]/[1319] Speed: 206.448535 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evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 059] training: accuracy=88.238604 [Epoch 059] speed: 217 samples/sec time cost: 884.964136 [Epoch 059] validation: acc-top1=45.612047 acc-top5=75.388601 wrote 2 events to disk Epoch[060] Batch [0019]/[1320] Speed: 104.060978 samples/sec accuracy=89.492188 lr=0.001000 Epoch[060] Batch [0039]/[1320] Speed: 205.643361 samples/sec accuracy=88.886719 lr=0.001000 Epoch[060] Batch [0059]/[1320] Speed: 250.560565 samples/sec accuracy=88.815104 lr=0.001000 Epoch[060] Batch [0079]/[1320] Speed: 216.433329 samples/sec accuracy=88.857422 lr=0.001000 Epoch[060] Batch [0099]/[1320] Speed: 217.952865 samples/sec accuracy=88.921875 lr=0.001000 Epoch[060] Batch [0119]/[1320] Speed: 236.577921 samples/sec accuracy=88.867188 lr=0.001000 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Epoch[061] Batch [0019]/[1320] Speed: 110.612058 samples/sec accuracy=89.453125 lr=0.001000 Epoch[061] Batch [0039]/[1320] Speed: 197.660551 samples/sec accuracy=89.003906 lr=0.001000 Epoch[061] Batch [0059]/[1320] Speed: 254.169657 samples/sec accuracy=89.088542 lr=0.001000 Epoch[061] Batch [0079]/[1320] Speed: 216.746372 samples/sec accuracy=88.886719 lr=0.001000 Epoch[061] Batch [0099]/[1320] Speed: 222.441195 samples/sec accuracy=88.585938 lr=0.001000 Epoch[061] Batch [0119]/[1320] Speed: 228.101039 samples/sec accuracy=88.470052 lr=0.001000 Epoch[061] Batch [0139]/[1320] Speed: 225.700438 samples/sec accuracy=88.537946 lr=0.001000 Epoch[061] Batch [0159]/[1320] Speed: 214.593763 samples/sec accuracy=88.603516 lr=0.001000 Epoch[061] Batch [0179]/[1320] Speed: 218.860446 samples/sec accuracy=88.624132 lr=0.001000 Epoch[061] Batch [0199]/[1320] Speed: 230.259042 samples/sec accuracy=88.570312 lr=0.001000 Epoch[061] Batch [0219]/[1320] Speed: 212.043776 samples/sec accuracy=88.512074 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accuracy=88.627486 lr=0.001000 Epoch[061] Batch [0459]/[1320] Speed: 233.599117 samples/sec accuracy=88.620924 lr=0.001000 Epoch[061] Batch [0479]/[1320] Speed: 217.991383 samples/sec accuracy=88.611654 lr=0.001000 Epoch[061] Batch [0499]/[1320] Speed: 209.237024 samples/sec accuracy=88.610937 lr=0.001000 Epoch[061] Batch [0519]/[1320] Speed: 238.656469 samples/sec accuracy=88.595252 lr=0.001000 Epoch[061] Batch [0539]/[1320] Speed: 220.429983 samples/sec accuracy=88.572049 lr=0.001000 Epoch[061] Batch [0559]/[1320] Speed: 210.482524 samples/sec accuracy=88.588170 lr=0.001000 Epoch[061] Batch [0579]/[1320] Speed: 233.138381 samples/sec accuracy=88.593750 lr=0.001000 Epoch[061] Batch [0599]/[1320] Speed: 223.930328 samples/sec accuracy=88.639323 lr=0.001000 Epoch[061] Batch [0619]/[1320] Speed: 213.463163 samples/sec accuracy=88.611391 lr=0.001000 Epoch[061] Batch [0639]/[1320] Speed: 220.840207 samples/sec accuracy=88.610840 lr=0.001000 Epoch[061] Batch [0659]/[1320] Speed: 227.487414 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Epoch[061] Batch [1319]/[1320] Speed: 289.764272 samples/sec accuracy=88.552320 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 061] training: accuracy=88.552320 [Epoch 061] speed: 218 samples/sec time cost: 883.180484 [Epoch 061] validation: acc-top1=45.559424 acc-top5=74.931185 wrote 2 events to disk Epoch[062] Batch [0019]/[1319] Speed: 101.704558 samples/sec accuracy=88.320312 lr=0.001000 Epoch[062] Batch [0039]/[1319] Speed: 227.664954 samples/sec accuracy=88.457031 lr=0.001000 Epoch[062] Batch [0059]/[1319] Speed: 211.202619 samples/sec accuracy=88.489583 lr=0.001000 Epoch[062] Batch [0079]/[1319] Speed: 243.768520 samples/sec accuracy=88.564453 lr=0.001000 Epoch[062] Batch [0099]/[1319] Speed: 196.443173 samples/sec accuracy=88.593750 lr=0.001000 Epoch[062] Batch [0119]/[1319] Speed: 238.991420 samples/sec accuracy=88.580729 lr=0.001000 Epoch[062] Batch [0139]/[1319] Speed: 221.483528 samples/sec accuracy=88.549107 lr=0.001000 Epoch[062] Batch [0159]/[1319] Speed: 216.547511 samples/sec accuracy=88.515625 lr=0.001000 Epoch[062] Batch [0179]/[1319] Speed: 233.357425 samples/sec accuracy=88.654514 lr=0.001000 Epoch[062] Batch [0199]/[1319] Speed: 211.902740 samples/sec accuracy=88.664062 lr=0.001000 Epoch[062] Batch [0219]/[1319] Speed: 231.188916 samples/sec accuracy=88.629261 lr=0.001000 Epoch[062] Batch [0239]/[1319] Speed: 221.728328 samples/sec accuracy=88.583984 lr=0.001000 Epoch[062] Batch [0259]/[1319] Speed: 213.083040 samples/sec accuracy=88.623798 lr=0.001000 Epoch[062] Batch [0279]/[1319] Speed: 221.611614 samples/sec accuracy=88.652344 lr=0.001000 Epoch[062] Batch [0299]/[1319] Speed: 231.732698 samples/sec accuracy=88.651042 lr=0.001000 Epoch[062] Batch [0319]/[1319] Speed: 203.295390 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Epoch[062] Batch [0979]/[1319] Speed: 206.662639 samples/sec accuracy=88.662309 lr=0.001000 Epoch[062] Batch [0999]/[1319] Speed: 236.264204 samples/sec accuracy=88.652344 lr=0.001000 Epoch[062] Batch [1019]/[1319] Speed: 211.395780 samples/sec accuracy=88.648131 lr=0.001000 Epoch[062] Batch [1039]/[1319] Speed: 223.707478 samples/sec accuracy=88.659105 lr=0.001000 Epoch[062] Batch [1059]/[1319] Speed: 229.922968 samples/sec accuracy=88.665242 lr=0.001000 Epoch[062] Batch [1079]/[1319] Speed: 204.903306 samples/sec accuracy=88.651620 lr=0.001000 Epoch[062] Batch [1099]/[1319] Speed: 240.855275 samples/sec accuracy=88.628551 lr=0.001000 Epoch[062] Batch [1119]/[1319] Speed: 215.473463 samples/sec accuracy=88.630022 lr=0.001000 Epoch[062] Batch [1139]/[1319] Speed: 213.473603 samples/sec accuracy=88.630071 lr=0.001000 Epoch[062] Batch [1159]/[1319] Speed: 233.515486 samples/sec accuracy=88.615302 lr=0.001000 Epoch[062] Batch [1179]/[1319] Speed: 217.926553 samples/sec accuracy=88.616923 lr=0.001000 Epoch[062] Batch [1199]/[1319] Speed: 213.474223 samples/sec accuracy=88.604167 lr=0.001000 Epoch[062] Batch [1219]/[1319] Speed: 236.506161 samples/sec accuracy=88.592469 lr=0.001000 Epoch[062] Batch [1239]/[1319] Speed: 209.164908 samples/sec accuracy=88.587450 lr=0.001000 Epoch[062] Batch [1259]/[1319] Speed: 234.796938 samples/sec accuracy=88.573289 lr=0.001000 Epoch[062] Batch [1279]/[1319] Speed: 217.441777 samples/sec accuracy=88.571167 lr=0.001000 Epoch[062] Batch [1299]/[1319] Speed: 237.479950 samples/sec accuracy=88.555889 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 062] training: accuracy=88.557264 [Epoch 062] speed: 217 samples/sec time cost: 885.637999 [Epoch 062] validation: acc-top1=45.328692 acc-top5=75.097150 wrote 2 events to disk Epoch[063] Batch [0019]/[1320] Speed: 103.765075 samples/sec accuracy=88.789062 lr=0.001000 Epoch[063] Batch [0039]/[1320] Speed: 203.675026 samples/sec accuracy=88.632812 lr=0.001000 Epoch[063] Batch [0059]/[1320] Speed: 254.227928 samples/sec accuracy=88.333333 lr=0.001000 Epoch[063] Batch [0079]/[1320] Speed: 208.694788 samples/sec accuracy=88.281250 lr=0.001000 Epoch[063] Batch [0099]/[1320] Speed: 235.282123 samples/sec accuracy=88.359375 lr=0.001000 Epoch[063] Batch [0119]/[1320] Speed: 226.111994 samples/sec accuracy=88.515625 lr=0.001000 Epoch[063] Batch [0139]/[1320] Speed: 215.355875 samples/sec accuracy=88.727679 lr=0.001000 Epoch[063] Batch [0159]/[1320] Speed: 205.667333 samples/sec accuracy=88.857422 lr=0.001000 Epoch[063] Batch [0179]/[1320] Speed: 242.532818 samples/sec accuracy=88.932292 lr=0.001000 Epoch[063] Batch [0199]/[1320] Speed: 203.753067 samples/sec accuracy=88.921875 lr=0.001000 Epoch[063] Batch [0219]/[1320] Speed: 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samples/sec accuracy=89.058894 lr=0.001000 Epoch[063] Batch [1319]/[1320] Speed: 282.158518 samples/sec accuracy=89.041193 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 063] training: accuracy=89.041193 [Epoch 063] speed: 217 samples/sec time cost: 888.325279 [Epoch 063] validation: acc-top1=45.498705 acc-top5=75.161917 wrote 2 events to disk Epoch[064] Batch [0019]/[1320] Speed: 107.930866 samples/sec accuracy=89.726562 lr=0.001000 Epoch[064] Batch [0039]/[1320] Speed: 217.385103 samples/sec accuracy=89.589844 lr=0.001000 Epoch[064] Batch [0059]/[1320] Speed: 226.306947 samples/sec accuracy=89.361979 lr=0.001000 Epoch[064] Batch [0079]/[1320] Speed: 225.381873 samples/sec accuracy=89.287109 lr=0.001000 Epoch[064] Batch [0099]/[1320] 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samples/sec accuracy=89.156515 lr=0.001000 Epoch[064] Batch [1199]/[1320] Speed: 233.642328 samples/sec accuracy=89.173828 lr=0.001000 Epoch[064] Batch [1219]/[1320] Speed: 203.493366 samples/sec accuracy=89.175845 lr=0.001000 Epoch[064] Batch [1239]/[1320] Speed: 236.422267 samples/sec accuracy=89.164567 lr=0.001000 Epoch[064] Batch [1259]/[1320] Speed: 222.417203 samples/sec accuracy=89.162326 lr=0.001000 Epoch[064] Batch [1279]/[1320] Speed: 216.344808 samples/sec accuracy=89.167480 lr=0.001000 Epoch[064] Batch [1299]/[1320] Speed: 252.978507 samples/sec accuracy=89.158654 lr=0.001000 Epoch[064] Batch [1319]/[1320] Speed: 248.048894 samples/sec accuracy=89.152462 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 064] training: accuracy=89.152462 [Epoch 064] speed: 218 samples/sec time cost: 885.461302 [Epoch 064] validation: acc-top1=44.988666 acc-top5=74.502105 wrote 2 events to disk Epoch[065] Batch [0019]/[1319] Speed: 107.298317 samples/sec accuracy=90.000000 lr=0.001000 Epoch[065] Batch [0039]/[1319] Speed: 197.459233 samples/sec accuracy=89.667969 lr=0.001000 Epoch[065] Batch [0059]/[1319] Speed: 256.974822 samples/sec accuracy=89.322917 lr=0.001000 Epoch[065] Batch [0079]/[1319] Speed: 204.477501 samples/sec accuracy=89.375000 lr=0.001000 Epoch[065] Batch [0099]/[1319] Speed: 236.343282 samples/sec accuracy=89.367188 lr=0.001000 Epoch[065] Batch [0119]/[1319] Speed: 223.548955 samples/sec accuracy=89.498698 lr=0.001000 Epoch[065] Batch [0139]/[1319] Speed: 223.364336 samples/sec accuracy=89.497768 lr=0.001000 Epoch[065] Batch [0159]/[1319] Speed: 227.223979 samples/sec accuracy=89.423828 lr=0.001000 Epoch[065] Batch [0179]/[1319] Speed: 221.148181 samples/sec accuracy=89.470486 lr=0.001000 Epoch[065] 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208.909901 samples/sec accuracy=89.242554 lr=0.001000 Epoch[065] Batch [1299]/[1319] Speed: 257.567023 samples/sec accuracy=89.240385 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 065] training: accuracy=89.244338 [Epoch 065] speed: 218 samples/sec time cost: 881.230410 [Epoch 065] validation: acc-top1=45.466321 acc-top5=75.255019 wrote 2 events to disk Epoch[066] Batch [0019]/[1320] Speed: 104.591672 samples/sec accuracy=88.906250 lr=0.001000 Epoch[066] Batch [0039]/[1320] Speed: 200.005563 samples/sec accuracy=89.472656 lr=0.001000 Epoch[066] Batch [0059]/[1320] Speed: 248.158448 samples/sec accuracy=89.388021 lr=0.001000 Epoch[066] Batch [0079]/[1320] Speed: 211.444148 samples/sec accuracy=89.335938 lr=0.001000 Epoch[066] Batch 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accuracy=89.646326 lr=0.001000 Epoch[066] Batch [0759]/[1320] Speed: 200.539765 samples/sec accuracy=89.645354 lr=0.001000 Epoch[066] Batch [0779]/[1320] Speed: 228.987724 samples/sec accuracy=89.644431 lr=0.001000 Epoch[066] Batch [0799]/[1320] Speed: 218.500121 samples/sec accuracy=89.635742 lr=0.001000 Epoch[066] Batch [0819]/[1320] Speed: 217.556964 samples/sec accuracy=89.660823 lr=0.001000 Epoch[066] Batch [0839]/[1320] Speed: 229.350496 samples/sec accuracy=89.643787 lr=0.001000 Epoch[066] Batch [0859]/[1320] Speed: 220.384414 samples/sec accuracy=89.630269 lr=0.001000 Epoch[066] Batch [0879]/[1320] Speed: 219.812781 samples/sec accuracy=89.634233 lr=0.001000 Epoch[066] Batch [0899]/[1320] Speed: 214.457033 samples/sec accuracy=89.609375 lr=0.001000 Epoch[066] Batch [0919]/[1320] Speed: 215.814736 samples/sec accuracy=89.594939 lr=0.001000 Epoch[066] Batch [0939]/[1320] Speed: 226.445502 samples/sec accuracy=89.597739 lr=0.001000 Epoch[066] Batch [0959]/[1320] Speed: 230.002597 samples/sec accuracy=89.591471 lr=0.001000 Epoch[066] Batch [0979]/[1320] Speed: 218.415846 samples/sec accuracy=89.596620 lr=0.001000 Epoch[066] Batch [0999]/[1320] Speed: 213.476294 samples/sec accuracy=89.595313 lr=0.001000 Epoch[066] Batch [1019]/[1320] Speed: 224.420859 samples/sec accuracy=89.597886 lr=0.001000 Epoch[066] Batch [1039]/[1320] Speed: 223.899649 samples/sec accuracy=89.594351 lr=0.001000 Epoch[066] Batch [1059]/[1320] Speed: 215.816679 samples/sec accuracy=89.594634 lr=0.001000 Epoch[066] Batch [1079]/[1320] Speed: 232.214725 samples/sec accuracy=89.612992 lr=0.001000 Epoch[066] Batch [1099]/[1320] Speed: 209.717719 samples/sec accuracy=89.602273 lr=0.001000 Epoch[066] Batch [1119]/[1320] Speed: 229.622345 samples/sec accuracy=89.593331 lr=0.001000 Epoch[066] Batch [1139]/[1320] Speed: 219.048014 samples/sec accuracy=89.590186 lr=0.001000 Epoch[066] Batch [1159]/[1320] Speed: 221.753097 samples/sec accuracy=89.598599 lr=0.001000 Epoch[066] Batch [1179]/[1320] Speed: 218.907297 samples/sec accuracy=89.579582 lr=0.001000 Epoch[066] Batch [1199]/[1320] Speed: 228.646900 samples/sec accuracy=89.572266 lr=0.001000 Epoch[066] Batch [1219]/[1320] Speed: 197.952036 samples/sec accuracy=89.567751 lr=0.001000 Epoch[066] Batch [1239]/[1320] Speed: 248.171519 samples/sec accuracy=89.538810 lr=0.001000 Epoch[066] Batch [1259]/[1320] Speed: 206.564717 samples/sec accuracy=89.534350 lr=0.001000 Epoch[066] Batch [1279]/[1320] Speed: 242.802905 samples/sec accuracy=89.543457 lr=0.001000 Epoch[066] Batch [1299]/[1320] Speed: 220.410336 samples/sec accuracy=89.547476 lr=0.001000 Epoch[066] Batch [1319]/[1320] Speed: 292.900066 samples/sec accuracy=89.543087 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 066] training: accuracy=89.543087 [Epoch 066] speed: 217 samples/sec time cost: 884.638966 [Epoch 066] validation: acc-top1=45.320596 acc-top5=74.959521 wrote 2 events to disk Epoch[067] Batch [0019]/[1320] Speed: 107.365967 samples/sec accuracy=90.351562 lr=0.001000 Epoch[067] Batch [0039]/[1320] Speed: 216.297884 samples/sec accuracy=89.882812 lr=0.001000 Epoch[067] Batch [0059]/[1320] Speed: 228.765504 samples/sec accuracy=90.130208 lr=0.001000 Epoch[067] Batch [0079]/[1320] Speed: 219.873389 samples/sec accuracy=90.117188 lr=0.001000 Epoch[067] Batch [0099]/[1320] Speed: 221.807110 samples/sec accuracy=90.046875 lr=0.001000 Epoch[067] Batch [0119]/[1320] Speed: 231.931301 samples/sec accuracy=90.032552 lr=0.001000 Epoch[067] Batch [0139]/[1320] Speed: 206.824269 samples/sec accuracy=90.039062 lr=0.001000 Epoch[067] Batch [0159]/[1320] Speed: 228.460432 samples/sec accuracy=90.102539 lr=0.001000 Epoch[067] Batch [0179]/[1320] Speed: 228.132104 samples/sec accuracy=90.104167 lr=0.001000 Epoch[067] 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lr=0.001000 Epoch[067] Batch [0639]/[1320] Speed: 231.153679 samples/sec accuracy=89.853516 lr=0.001000 Epoch[067] Batch [0659]/[1320] Speed: 207.863663 samples/sec accuracy=89.836648 lr=0.001000 Epoch[067] Batch [0679]/[1320] Speed: 238.392130 samples/sec accuracy=89.824219 lr=0.001000 Epoch[067] Batch [0699]/[1320] Speed: 219.299151 samples/sec accuracy=89.812500 lr=0.001000 Epoch[067] Batch [0719]/[1320] Speed: 222.239797 samples/sec accuracy=89.822049 lr=0.001000 Epoch[067] Batch [0739]/[1320] Speed: 227.962692 samples/sec accuracy=89.821579 lr=0.001000 Epoch[067] Batch [0759]/[1320] Speed: 216.257352 samples/sec accuracy=89.832442 lr=0.001000 Epoch[067] Batch [0779]/[1320] Speed: 227.113764 samples/sec accuracy=89.827724 lr=0.001000 Epoch[067] Batch [0799]/[1320] Speed: 221.025389 samples/sec accuracy=89.802734 lr=0.001000 Epoch[067] Batch [0819]/[1320] Speed: 232.811885 samples/sec accuracy=89.815168 lr=0.001000 Epoch[067] Batch [0839]/[1320] Speed: 212.727711 samples/sec accuracy=89.802827 lr=0.001000 Epoch[067] Batch [0859]/[1320] Speed: 232.737871 samples/sec accuracy=89.780160 lr=0.001000 Epoch[067] Batch [0879]/[1320] Speed: 212.038186 samples/sec accuracy=89.766513 lr=0.001000 Epoch[067] Batch [0899]/[1320] Speed: 235.567955 samples/sec accuracy=89.774306 lr=0.001000 Epoch[067] Batch [0919]/[1320] Speed: 219.227082 samples/sec accuracy=89.770720 lr=0.001000 Epoch[067] Batch [0939]/[1320] Speed: 219.788034 samples/sec accuracy=89.767287 lr=0.001000 Epoch[067] Batch [0959]/[1320] Speed: 232.030156 samples/sec accuracy=89.773763 lr=0.001000 Epoch[067] Batch [0979]/[1320] Speed: 215.733564 samples/sec accuracy=89.767219 lr=0.001000 Epoch[067] Batch [0999]/[1320] Speed: 230.952987 samples/sec accuracy=89.752344 lr=0.001000 Epoch[067] Batch [1019]/[1320] Speed: 219.844758 samples/sec accuracy=89.757200 lr=0.001000 Epoch[067] Batch [1039]/[1320] Speed: 228.538501 samples/sec accuracy=89.749099 lr=0.001000 Epoch[067] Batch [1059]/[1320] Speed: 227.563026 samples/sec accuracy=89.761203 lr=0.001000 Epoch[067] Batch [1079]/[1320] Speed: 217.245374 samples/sec accuracy=89.731626 lr=0.001000 Epoch[067] Batch [1099]/[1320] Speed: 226.537006 samples/sec accuracy=89.732244 lr=0.001000 Epoch[067] Batch [1119]/[1320] Speed: 214.437786 samples/sec accuracy=89.708426 lr=0.001000 Epoch[067] Batch [1139]/[1320] Speed: 224.469248 samples/sec accuracy=89.704633 lr=0.001000 Epoch[067] Batch [1159]/[1320] Speed: 213.993801 samples/sec accuracy=89.705684 lr=0.001000 Epoch[067] Batch [1179]/[1320] Speed: 227.766930 samples/sec accuracy=89.688824 lr=0.001000 Epoch[067] Batch [1199]/[1320] Speed: 224.930232 samples/sec accuracy=89.685547 lr=0.001000 Epoch[067] Batch [1219]/[1320] Speed: 217.695262 samples/sec accuracy=89.703509 lr=0.001000 Epoch[067] Batch [1239]/[1320] Speed: 236.761413 samples/sec accuracy=89.690650 lr=0.001000 Epoch[067] Batch [1259]/[1320] Speed: 210.776439 samples/sec accuracy=89.690600 lr=0.001000 Epoch[067] Batch [1279]/[1320] Speed: 231.295150 samples/sec accuracy=89.688110 lr=0.001000 Epoch[067] Batch [1299]/[1320] Speed: 221.614940 samples/sec accuracy=89.678486 lr=0.001000 Epoch[067] Batch [1319]/[1320] Speed: 308.735682 samples/sec accuracy=89.688684 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 067] training: accuracy=89.688684 [Epoch 067] speed: 219 samples/sec time cost: 879.413726 [Epoch 067] validation: acc-top1=45.118199 acc-top5=74.797604 wrote 2 events to disk Epoch[068] Batch [0019]/[1319] Speed: 109.094408 samples/sec accuracy=90.703125 lr=0.001000 Epoch[068] Batch [0039]/[1319] Speed: 200.055549 samples/sec accuracy=90.273438 lr=0.001000 Epoch[068] Batch [0059]/[1319] Speed: 251.397241 samples/sec accuracy=90.611979 lr=0.001000 Epoch[068] Batch 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Epoch[068] Batch [0299]/[1319] Speed: 219.954278 samples/sec accuracy=89.966146 lr=0.001000 Epoch[068] Batch [0319]/[1319] Speed: 216.808790 samples/sec accuracy=89.916992 lr=0.001000 Epoch[068] Batch [0339]/[1319] Speed: 233.852108 samples/sec accuracy=89.931066 lr=0.001000 Epoch[068] Batch [0359]/[1319] Speed: 217.719765 samples/sec accuracy=89.934896 lr=0.001000 Epoch[068] Batch [0379]/[1319] Speed: 214.559647 samples/sec accuracy=89.967105 lr=0.001000 Epoch[068] Batch [0399]/[1319] Speed: 238.834760 samples/sec accuracy=89.951172 lr=0.001000 Epoch[068] Batch [0419]/[1319] Speed: 210.993429 samples/sec accuracy=89.962798 lr=0.001000 Epoch[068] Batch [0439]/[1319] Speed: 216.484165 samples/sec accuracy=89.952060 lr=0.001000 Epoch[068] Batch [0459]/[1319] Speed: 228.716541 samples/sec accuracy=89.930367 lr=0.001000 Epoch[068] Batch [0479]/[1319] Speed: 227.197098 samples/sec accuracy=89.970703 lr=0.001000 Epoch[068] Batch [0499]/[1319] Speed: 219.930842 samples/sec accuracy=89.921875 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accuracy=89.851345 lr=0.001000 Epoch[068] Batch [0739]/[1319] Speed: 221.642913 samples/sec accuracy=89.864865 lr=0.001000 Epoch[068] Batch [0759]/[1319] Speed: 239.094002 samples/sec accuracy=89.824219 lr=0.001000 Epoch[068] Batch [0779]/[1319] Speed: 210.028849 samples/sec accuracy=89.804688 lr=0.001000 Epoch[068] Batch [0799]/[1319] Speed: 228.045187 samples/sec accuracy=89.802734 lr=0.001000 Epoch[068] Batch [0819]/[1319] Speed: 219.521500 samples/sec accuracy=89.839939 lr=0.001000 Epoch[068] Batch [0839]/[1319] Speed: 220.001513 samples/sec accuracy=89.837240 lr=0.001000 Epoch[068] Batch [0859]/[1319] Speed: 212.534869 samples/sec accuracy=89.837391 lr=0.001000 Epoch[068] Batch [0879]/[1319] Speed: 240.055903 samples/sec accuracy=89.836648 lr=0.001000 Epoch[068] Batch [0899]/[1319] Speed: 213.260396 samples/sec accuracy=89.841146 lr=0.001000 Epoch[068] Batch [0919]/[1319] Speed: 224.364802 samples/sec accuracy=89.815727 lr=0.001000 Epoch[068] Batch [0939]/[1319] Speed: 224.017725 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accuracy=89.736543 [Epoch 068] speed: 219 samples/sec time cost: 877.839516 [Epoch 068] validation: acc-top1=45.138439 acc-top5=74.583063 wrote 2 events to disk Epoch[069] Batch [0019]/[1320] Speed: 101.271212 samples/sec accuracy=89.726562 lr=0.001000 Epoch[069] Batch [0039]/[1320] Speed: 217.247713 samples/sec accuracy=90.312500 lr=0.001000 Epoch[069] Batch [0059]/[1320] Speed: 228.793158 samples/sec accuracy=90.338542 lr=0.001000 Epoch[069] Batch [0079]/[1320] Speed: 215.322332 samples/sec accuracy=89.931641 lr=0.001000 Epoch[069] Batch [0099]/[1320] Speed: 229.707019 samples/sec accuracy=89.992188 lr=0.001000 Epoch[069] Batch [0119]/[1320] Speed: 225.889639 samples/sec accuracy=89.973958 lr=0.001000 Epoch[069] Batch [0139]/[1320] Speed: 225.892724 samples/sec accuracy=90.066964 lr=0.001000 Epoch[069] Batch [0159]/[1320] Speed: 218.554180 samples/sec accuracy=90.029297 lr=0.001000 Epoch[069] Batch [0179]/[1320] Speed: 226.120760 samples/sec accuracy=90.056424 lr=0.001000 Epoch[069] 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Epoch[069] Batch [0419]/[1320] Speed: 235.126687 samples/sec accuracy=90.050223 lr=0.001000 Epoch[069] Batch [0439]/[1320] Speed: 214.682380 samples/sec accuracy=90.071023 lr=0.001000 Epoch[069] Batch [0459]/[1320] Speed: 203.705084 samples/sec accuracy=90.044158 lr=0.001000 Epoch[069] Batch [0479]/[1320] Speed: 234.694773 samples/sec accuracy=89.996745 lr=0.001000 Epoch[069] Batch [0499]/[1320] Speed: 212.040845 samples/sec accuracy=89.981250 lr=0.001000 Epoch[069] Batch [0519]/[1320] Speed: 244.776208 samples/sec accuracy=89.971454 lr=0.001000 Epoch[069] Batch [0539]/[1320] Speed: 208.480810 samples/sec accuracy=89.985532 lr=0.001000 Epoch[069] Batch [0559]/[1320] Speed: 228.383164 samples/sec accuracy=90.012556 lr=0.001000 Epoch[069] Batch [0579]/[1320] Speed: 214.365782 samples/sec accuracy=90.041756 lr=0.001000 Epoch[069] Batch [0599]/[1320] Speed: 224.202219 samples/sec accuracy=90.055990 lr=0.001000 Epoch[069] Batch [0619]/[1320] Speed: 208.203185 samples/sec accuracy=90.091986 lr=0.001000 Epoch[069] Batch [0639]/[1320] Speed: 241.294250 samples/sec accuracy=90.089111 lr=0.001000 Epoch[069] Batch [0659]/[1320] Speed: 208.520544 samples/sec accuracy=90.094697 lr=0.001000 Epoch[069] Batch [0679]/[1320] Speed: 231.237609 samples/sec accuracy=90.073529 lr=0.001000 Epoch[069] Batch [0699]/[1320] Speed: 225.992561 samples/sec accuracy=90.077009 lr=0.001000 Epoch[069] Batch [0719]/[1320] Speed: 226.886574 samples/sec accuracy=90.096571 lr=0.001000 Epoch[069] Batch [0739]/[1320] Speed: 227.642640 samples/sec accuracy=90.073902 lr=0.001000 Epoch[069] Batch [0759]/[1320] Speed: 215.316084 samples/sec accuracy=90.054482 lr=0.001000 Epoch[069] Batch [0779]/[1320] Speed: 223.787071 samples/sec accuracy=90.057091 lr=0.001000 Epoch[069] Batch [0799]/[1320] Speed: 215.193488 samples/sec accuracy=90.041992 lr=0.001000 Epoch[069] Batch [0819]/[1320] Speed: 214.502069 samples/sec accuracy=90.006669 lr=0.001000 Epoch[069] Batch [0839]/[1320] Speed: 236.157538 samples/sec accuracy=90.010231 lr=0.001000 Epoch[069] Batch [0859]/[1320] Speed: 220.903442 samples/sec accuracy=90.024528 lr=0.001000 Epoch[069] Batch [0879]/[1320] Speed: 220.126477 samples/sec accuracy=90.007990 lr=0.001000 Epoch[069] Batch [0899]/[1320] Speed: 216.511003 samples/sec accuracy=89.997396 lr=0.001000 Epoch[069] Batch [0919]/[1320] Speed: 235.319904 samples/sec accuracy=89.988961 lr=0.001000 Epoch[069] Batch [0939]/[1320] Speed: 214.221479 samples/sec accuracy=89.971742 lr=0.001000 Epoch[069] Batch [0959]/[1320] Speed: 228.070922 samples/sec accuracy=89.997559 lr=0.001000 Epoch[069] Batch [0979]/[1320] Speed: 225.737174 samples/sec accuracy=89.965721 lr=0.001000 Epoch[069] Batch [0999]/[1320] Speed: 208.910629 samples/sec accuracy=89.928125 lr=0.001000 Epoch[069] Batch [1019]/[1320] Speed: 234.129961 samples/sec accuracy=89.929534 lr=0.001000 Epoch[069] Batch [1039]/[1320] Speed: 216.673225 samples/sec accuracy=89.932392 lr=0.001000 Epoch[069] Batch [1059]/[1320] Speed: 224.260462 samples/sec accuracy=89.927771 lr=0.001000 Epoch[069] Batch [1079]/[1320] Speed: 218.924079 samples/sec accuracy=89.930556 lr=0.001000 Epoch[069] Batch [1099]/[1320] Speed: 221.067222 samples/sec accuracy=89.924716 lr=0.001000 Epoch[069] Batch [1119]/[1320] Speed: 229.928192 samples/sec accuracy=89.929548 lr=0.001000 Epoch[069] Batch [1139]/[1320] Speed: 218.025794 samples/sec accuracy=89.941749 lr=0.001000 Epoch[069] Batch [1159]/[1320] Speed: 221.112541 samples/sec accuracy=89.935345 lr=0.001000 Epoch[069] Batch [1179]/[1320] Speed: 225.931728 samples/sec accuracy=89.920551 lr=0.001000 Epoch[069] Batch [1199]/[1320] Speed: 223.684475 samples/sec accuracy=89.924479 lr=0.001000 Epoch[069] Batch [1219]/[1320] Speed: 205.250987 samples/sec accuracy=89.923156 lr=0.001000 Epoch[069] Batch [1239]/[1320] Speed: 242.653191 samples/sec accuracy=89.917465 lr=0.001000 Epoch[069] Batch [1259]/[1320] Speed: 218.114659 samples/sec accuracy=89.890873 lr=0.001000 Epoch[069] Batch [1279]/[1320] Speed: 211.028705 samples/sec accuracy=89.873047 lr=0.001000 Epoch[069] Batch [1299]/[1320] Speed: 273.860593 samples/sec accuracy=89.868389 lr=0.001000 Epoch[069] Batch [1319]/[1320] Speed: 254.282902 samples/sec accuracy=89.873343 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 069] training: accuracy=89.873343 [Epoch 069] speed: 218 samples/sec time cost: 882.278419 [Epoch 069] validation: acc-top1=45.369171 acc-top5=74.659974 wrote 2 events to disk Epoch[070] Batch [0019]/[1319] Speed: 102.429164 samples/sec accuracy=90.000000 lr=0.001000 Epoch[070] Batch [0039]/[1319] Speed: 207.308674 samples/sec accuracy=89.824219 lr=0.001000 Epoch[070] Batch [0059]/[1319] Speed: 242.946851 samples/sec accuracy=90.026042 lr=0.001000 Epoch[070] Batch 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Epoch[070] Batch [0299]/[1319] Speed: 231.766276 samples/sec accuracy=90.117188 lr=0.001000 Epoch[070] Batch [0319]/[1319] Speed: 221.530558 samples/sec accuracy=90.102539 lr=0.001000 Epoch[070] Batch [0339]/[1319] Speed: 227.229596 samples/sec accuracy=90.110294 lr=0.001000 Epoch[070] Batch [0359]/[1319] Speed: 232.445606 samples/sec accuracy=90.095486 lr=0.001000 Epoch[070] Batch [0379]/[1319] Speed: 221.365890 samples/sec accuracy=90.119243 lr=0.001000 Epoch[070] Batch [0399]/[1319] Speed: 227.546533 samples/sec accuracy=90.099609 lr=0.001000 Epoch[070] Batch [0419]/[1319] Speed: 209.481526 samples/sec accuracy=90.100446 lr=0.001000 Epoch[070] Batch [0439]/[1319] Speed: 234.583467 samples/sec accuracy=90.117188 lr=0.001000 Epoch[070] Batch [0459]/[1319] Speed: 202.872489 samples/sec accuracy=90.105299 lr=0.001000 Epoch[070] Batch [0479]/[1319] Speed: 237.760031 samples/sec accuracy=90.110677 lr=0.001000 Epoch[070] Batch [0499]/[1319] Speed: 202.438241 samples/sec accuracy=90.101562 lr=0.001000 Epoch[070] Batch [0519]/[1319] Speed: 231.981811 samples/sec accuracy=90.121695 lr=0.001000 Epoch[070] Batch [0539]/[1319] Speed: 207.473221 samples/sec accuracy=90.122975 lr=0.001000 Epoch[070] Batch [0559]/[1319] Speed: 244.331973 samples/sec accuracy=90.106027 lr=0.001000 Epoch[070] Batch [0579]/[1319] Speed: 218.812318 samples/sec accuracy=90.136045 lr=0.001000 Epoch[070] Batch [0599]/[1319] Speed: 209.639243 samples/sec accuracy=90.126302 lr=0.001000 Epoch[070] Batch [0619]/[1319] Speed: 235.816281 samples/sec accuracy=90.060484 lr=0.001000 Epoch[070] Batch [0639]/[1319] Speed: 212.180350 samples/sec accuracy=90.040283 lr=0.001000 Epoch[070] Batch [0659]/[1319] Speed: 234.627796 samples/sec accuracy=90.053267 lr=0.001000 Epoch[070] Batch [0679]/[1319] Speed: 223.582717 samples/sec accuracy=90.045956 lr=0.001000 Epoch[070] Batch [0699]/[1319] Speed: 218.401532 samples/sec accuracy=90.069196 lr=0.001000 Epoch[070] Batch [0719]/[1319] Speed: 233.616195 samples/sec accuracy=90.080295 lr=0.001000 Epoch[070] Batch [0739]/[1319] Speed: 219.828676 samples/sec accuracy=90.067568 lr=0.001000 Epoch[070] Batch [0759]/[1319] Speed: 220.424408 samples/sec accuracy=90.069901 lr=0.001000 Epoch[070] Batch [0779]/[1319] Speed: 227.395175 samples/sec accuracy=90.087139 lr=0.001000 Epoch[070] Batch [0799]/[1319] Speed: 223.929431 samples/sec accuracy=90.062500 lr=0.001000 Epoch[070] Batch [0819]/[1319] Speed: 218.009729 samples/sec accuracy=90.054306 lr=0.001000 Epoch[070] Batch [0839]/[1319] Speed: 235.268925 samples/sec accuracy=90.073475 lr=0.001000 Epoch[070] Batch [0859]/[1319] Speed: 221.037218 samples/sec accuracy=90.049055 lr=0.001000 Epoch[070] Batch [0879]/[1319] Speed: 223.516050 samples/sec accuracy=90.050604 lr=0.001000 Epoch[070] Batch [0899]/[1319] Speed: 226.629393 samples/sec accuracy=90.059896 lr=0.001000 Epoch[070] Batch [0919]/[1319] Speed: 224.999858 samples/sec accuracy=90.077276 lr=0.001000 Epoch[070] Batch [0939]/[1319] Speed: 217.712764 samples/sec accuracy=90.087267 lr=0.001000 Epoch[070] Batch [0959]/[1319] Speed: 225.152037 samples/sec accuracy=90.086263 lr=0.001000 Epoch[070] Batch [0979]/[1319] Speed: 220.857672 samples/sec accuracy=90.109216 lr=0.001000 Epoch[070] Batch [0999]/[1319] Speed: 230.118174 samples/sec accuracy=90.111719 lr=0.001000 Epoch[070] Batch [1019]/[1319] Speed: 222.699776 samples/sec accuracy=90.103401 lr=0.001000 Epoch[070] Batch [1039]/[1319] Speed: 219.110017 samples/sec accuracy=90.112680 lr=0.001000 Epoch[070] Batch [1059]/[1319] Speed: 211.913789 samples/sec accuracy=90.119399 lr=0.001000 Epoch[070] Batch [1079]/[1319] Speed: 228.023210 samples/sec accuracy=90.119358 lr=0.001000 Epoch[070] Batch [1099]/[1319] Speed: 220.114632 samples/sec accuracy=90.112216 lr=0.001000 Epoch[070] Batch [1119]/[1319] Speed: 231.668416 samples/sec accuracy=90.111607 lr=0.001000 Epoch[070] Batch [1139]/[1319] Speed: 216.426562 samples/sec accuracy=90.104852 lr=0.001000 Epoch[070] Batch [1159]/[1319] Speed: 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accuracy=90.112656 [Epoch 070] speed: 219 samples/sec time cost: 878.213307 [Epoch 070] validation: acc-top1=44.936043 acc-top5=74.643782 wrote 2 events to disk Epoch[071] Batch [0019]/[1320] Speed: 106.887242 samples/sec accuracy=90.898438 lr=0.001000 Epoch[071] Batch [0039]/[1320] Speed: 222.899552 samples/sec accuracy=91.074219 lr=0.001000 Epoch[071] Batch [0059]/[1320] Speed: 233.161927 samples/sec accuracy=90.651042 lr=0.001000 Epoch[071] Batch [0079]/[1320] Speed: 220.712239 samples/sec accuracy=90.605469 lr=0.001000 Epoch[071] Batch [0099]/[1320] Speed: 233.012328 samples/sec accuracy=90.445312 lr=0.001000 Epoch[071] Batch [0119]/[1320] Speed: 218.429700 samples/sec accuracy=90.598958 lr=0.001000 Epoch[071] Batch [0139]/[1320] Speed: 231.302270 samples/sec accuracy=90.680804 lr=0.001000 Epoch[071] Batch [0159]/[1320] Speed: 196.075281 samples/sec accuracy=90.732422 lr=0.001000 Epoch[071] Batch [0179]/[1320] Speed: 241.509767 samples/sec accuracy=90.776910 lr=0.001000 Epoch[071] 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accuracy=90.337612 lr=0.001000 Epoch[071] Batch [0859]/[1320] Speed: 228.235154 samples/sec accuracy=90.335211 lr=0.001000 Epoch[071] Batch [0879]/[1320] Speed: 195.610933 samples/sec accuracy=90.339134 lr=0.001000 Epoch[071] Batch [0899]/[1320] Speed: 253.810298 samples/sec accuracy=90.348958 lr=0.001000 Epoch[071] Batch [0919]/[1320] Speed: 221.439879 samples/sec accuracy=90.344769 lr=0.001000 Epoch[071] Batch [0939]/[1320] Speed: 215.485074 samples/sec accuracy=90.331616 lr=0.001000 Epoch[071] Batch [0959]/[1320] Speed: 227.929021 samples/sec accuracy=90.340983 lr=0.001000 Epoch[071] Batch [0979]/[1320] Speed: 227.350782 samples/sec accuracy=90.330038 lr=0.001000 Epoch[071] Batch [0999]/[1320] Speed: 217.051643 samples/sec accuracy=90.338281 lr=0.001000 Epoch[071] Batch [1019]/[1320] Speed: 227.991754 samples/sec accuracy=90.312500 lr=0.001000 Epoch[071] Batch [1039]/[1320] Speed: 234.125433 samples/sec accuracy=90.300481 lr=0.001000 Epoch[071] Batch [1059]/[1320] Speed: 204.495477 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234.854452 samples/sec accuracy=90.278931 lr=0.001000 Epoch[071] Batch [1299]/[1320] Speed: 221.014188 samples/sec accuracy=90.278245 lr=0.001000 Epoch[071] Batch [1319]/[1320] Speed: 315.965080 samples/sec accuracy=90.266335 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 071] training: accuracy=90.266335 [Epoch 071] speed: 220 samples/sec time cost: 876.355734 [Epoch 071] validation: acc-top1=45.029145 acc-top5=74.757124 wrote 2 events to disk Epoch[072] Batch [0019]/[1320] Speed: 103.459558 samples/sec accuracy=90.742188 lr=0.001000 Epoch[072] Batch [0039]/[1320] Speed: 210.481835 samples/sec accuracy=90.800781 lr=0.001000 Epoch[072] Batch [0059]/[1320] Speed: 242.337287 samples/sec accuracy=90.885417 lr=0.001000 Epoch[072] Batch 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evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 072] training: accuracy=90.359257 [Epoch 072] speed: 219 samples/sec time cost: 881.997843 [Epoch 072] validation: acc-top1=44.988666 acc-top5=74.611399 wrote 2 events to disk Epoch[073] Batch [0019]/[1319] Speed: 107.817680 samples/sec accuracy=91.171875 lr=0.001000 Epoch[073] Batch [0039]/[1319] Speed: 211.922714 samples/sec accuracy=91.054688 lr=0.001000 Epoch[073] Batch [0059]/[1319] Speed: 238.089244 samples/sec accuracy=90.768229 lr=0.001000 Epoch[073] Batch [0079]/[1319] Speed: 224.178482 samples/sec accuracy=90.742188 lr=0.001000 Epoch[073] Batch [0099]/[1319] Speed: 193.948911 samples/sec accuracy=90.640625 lr=0.001000 Epoch[073] Batch [0119]/[1319] Speed: 248.844155 samples/sec accuracy=90.839844 lr=0.001000 Epoch[073] Batch [0139]/[1319] Speed: 217.092811 samples/sec accuracy=90.926339 lr=0.001000 Epoch[073] Batch [0159]/[1319] Speed: 228.442015 samples/sec accuracy=90.874023 lr=0.001000 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[1259]/[1319] Speed: 203.404535 samples/sec accuracy=90.589658 lr=0.001000 Epoch[073] Batch [1279]/[1319] Speed: 241.105091 samples/sec accuracy=90.596313 lr=0.001000 Epoch[073] Batch [1299]/[1319] Speed: 232.183181 samples/sec accuracy=90.596755 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 073] training: accuracy=90.596569 [Epoch 073] speed: 219 samples/sec time cost: 878.479406 [Epoch 073] validation: acc-top1=44.644592 acc-top5=74.283517 wrote 2 events to disk Epoch[074] Batch [0019]/[1320] Speed: 110.700162 samples/sec accuracy=90.234375 lr=0.001000 Epoch[074] Batch [0039]/[1320] Speed: 206.912609 samples/sec accuracy=91.171875 lr=0.001000 Epoch[074] Batch [0059]/[1320] Speed: 247.114736 samples/sec accuracy=91.536458 lr=0.001000 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accuracy=90.778125 lr=0.001000 Epoch[074] Batch [0519]/[1320] Speed: 223.837739 samples/sec accuracy=90.740685 lr=0.001000 Epoch[074] Batch [0539]/[1320] Speed: 226.861283 samples/sec accuracy=90.752315 lr=0.001000 Epoch[074] Batch [0559]/[1320] Speed: 220.647513 samples/sec accuracy=90.756138 lr=0.001000 Epoch[074] Batch [0579]/[1320] Speed: 232.742411 samples/sec accuracy=90.774515 lr=0.001000 Epoch[074] Batch [0599]/[1320] Speed: 215.742727 samples/sec accuracy=90.766927 lr=0.001000 Epoch[074] Batch [0619]/[1320] Speed: 214.425718 samples/sec accuracy=90.739667 lr=0.001000 Epoch[074] Batch [0639]/[1320] Speed: 238.262178 samples/sec accuracy=90.733643 lr=0.001000 Epoch[074] Batch [0659]/[1320] Speed: 221.135519 samples/sec accuracy=90.709044 lr=0.001000 Epoch[074] Batch [0679]/[1320] Speed: 228.703680 samples/sec accuracy=90.720358 lr=0.001000 Epoch[074] Batch [0699]/[1320] Speed: 216.738816 samples/sec accuracy=90.719866 lr=0.001000 Epoch[074] Batch [0719]/[1320] Speed: 231.499921 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Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 074] training: accuracy=90.553977 [Epoch 074] speed: 220 samples/sec time cost: 875.668147 [Epoch 074] validation: acc-top1=44.640544 acc-top5=74.570920 wrote 2 events to disk Epoch[075] Batch [0019]/[1320] Speed: 106.349517 samples/sec accuracy=91.015625 lr=0.001000 Epoch[075] Batch [0039]/[1320] Speed: 228.386997 samples/sec accuracy=91.425781 lr=0.001000 Epoch[075] Batch [0059]/[1320] Speed: 233.257871 samples/sec accuracy=91.250000 lr=0.001000 Epoch[075] Batch [0079]/[1320] Speed: 231.742321 samples/sec accuracy=91.289062 lr=0.001000 Epoch[075] Batch [0099]/[1320] Speed: 214.058186 samples/sec accuracy=91.054688 lr=0.001000 Epoch[075] Batch [0119]/[1320] Speed: 217.656707 samples/sec accuracy=91.061198 lr=0.001000 Epoch[075] Batch [0139]/[1320] Speed: 235.026688 samples/sec accuracy=91.132812 lr=0.001000 Epoch[075] Batch [0159]/[1320] Speed: 219.500498 samples/sec accuracy=91.176758 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accuracy=90.847039 lr=0.001000 Epoch[075] Batch [0399]/[1320] Speed: 244.010311 samples/sec accuracy=90.869141 lr=0.001000 Epoch[075] Batch [0419]/[1320] Speed: 207.941198 samples/sec accuracy=90.889137 lr=0.001000 Epoch[075] Batch [0439]/[1320] Speed: 228.262136 samples/sec accuracy=90.909091 lr=0.001000 Epoch[075] Batch [0459]/[1320] Speed: 230.342882 samples/sec accuracy=90.915421 lr=0.001000 Epoch[075] Batch [0479]/[1320] Speed: 211.387519 samples/sec accuracy=90.953776 lr=0.001000 Epoch[075] Batch [0499]/[1320] Speed: 244.422002 samples/sec accuracy=90.935937 lr=0.001000 Epoch[075] Batch [0519]/[1320] Speed: 220.652106 samples/sec accuracy=90.934495 lr=0.001000 Epoch[075] Batch [0539]/[1320] Speed: 229.254978 samples/sec accuracy=90.930266 lr=0.001000 Epoch[075] Batch [0559]/[1320] Speed: 229.383113 samples/sec accuracy=90.906808 lr=0.001000 Epoch[075] Batch [0579]/[1320] Speed: 222.312411 samples/sec accuracy=90.891703 lr=0.001000 Epoch[075] Batch [0599]/[1320] Speed: 226.172629 samples/sec accuracy=90.871094 lr=0.001000 Epoch[075] Batch [0619]/[1320] Speed: 225.811341 samples/sec accuracy=90.869456 lr=0.001000 Epoch[075] Batch [0639]/[1320] Speed: 216.003088 samples/sec accuracy=90.872803 lr=0.001000 Epoch[075] Batch [0659]/[1320] Speed: 218.037199 samples/sec accuracy=90.846354 lr=0.001000 Epoch[075] Batch [0679]/[1320] Speed: 246.761261 samples/sec accuracy=90.823759 lr=0.001000 Epoch[075] Batch [0699]/[1320] Speed: 186.334031 samples/sec accuracy=90.804688 lr=0.001000 Epoch[075] Batch [0719]/[1320] Speed: 267.695432 samples/sec accuracy=90.784505 lr=0.001000 Epoch[075] Batch [0739]/[1320] Speed: 204.493977 samples/sec accuracy=90.775971 lr=0.001000 Epoch[075] Batch [0759]/[1320] Speed: 234.715269 samples/sec accuracy=90.788446 lr=0.001000 Epoch[075] Batch [0779]/[1320] Speed: 215.491414 samples/sec accuracy=90.789263 lr=0.001000 Epoch[075] Batch [0799]/[1320] Speed: 218.961339 samples/sec accuracy=90.806641 lr=0.001000 Epoch[075] Batch [0819]/[1320] Speed: 230.895084 samples/sec accuracy=90.818407 lr=0.001000 Epoch[075] Batch [0839]/[1320] Speed: 199.921800 samples/sec accuracy=90.814732 lr=0.001000 Epoch[075] Batch [0859]/[1320] Speed: 239.586461 samples/sec accuracy=90.820312 lr=0.001000 Epoch[075] Batch [0879]/[1320] Speed: 214.988584 samples/sec accuracy=90.822976 lr=0.001000 Epoch[075] Batch [0899]/[1320] Speed: 233.746062 samples/sec accuracy=90.828125 lr=0.001000 Epoch[075] Batch [0919]/[1320] Speed: 219.973339 samples/sec accuracy=90.814368 lr=0.001000 Epoch[075] Batch [0939]/[1320] Speed: 229.021703 samples/sec accuracy=90.810339 lr=0.001000 Epoch[075] Batch [0959]/[1320] Speed: 213.491107 samples/sec accuracy=90.812174 lr=0.001000 Epoch[075] Batch [0979]/[1320] Speed: 241.234461 samples/sec accuracy=90.815529 lr=0.001000 Epoch[075] Batch [0999]/[1320] Speed: 209.401678 samples/sec accuracy=90.810156 lr=0.001000 Epoch[075] Batch [1019]/[1320] Speed: 230.765562 samples/sec accuracy=90.819547 lr=0.001000 Epoch[075] Batch 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Epoch[075] Batch [1259]/[1320] Speed: 229.486321 samples/sec accuracy=90.781250 lr=0.001000 Epoch[075] Batch [1279]/[1320] Speed: 225.746125 samples/sec accuracy=90.798340 lr=0.001000 Epoch[075] Batch [1299]/[1320] Speed: 253.011007 samples/sec accuracy=90.807692 lr=0.001000 Epoch[075] Batch [1319]/[1320] Speed: 282.956732 samples/sec accuracy=90.797230 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 075] training: accuracy=90.797230 [Epoch 075] speed: 220 samples/sec time cost: 873.447595 [Epoch 075] validation: acc-top1=44.794365 acc-top5=74.562824 wrote 2 events to disk Epoch[076] Batch [0019]/[1319] Speed: 106.506979 samples/sec accuracy=90.937500 lr=0.001000 Epoch[076] Batch [0039]/[1319] Speed: 214.607278 samples/sec accuracy=90.761719 lr=0.001000 Epoch[076] Batch [0059]/[1319] Speed: 247.636920 samples/sec accuracy=90.625000 lr=0.001000 Epoch[076] Batch [0079]/[1319] Speed: 215.164182 samples/sec accuracy=90.664062 lr=0.001000 Epoch[076] Batch [0099]/[1319] Speed: 233.013289 samples/sec accuracy=90.914062 lr=0.001000 Epoch[076] Batch [0119]/[1319] Speed: 208.125624 samples/sec accuracy=91.028646 lr=0.001000 Epoch[076] Batch [0139]/[1319] Speed: 232.071630 samples/sec accuracy=91.171875 lr=0.001000 Epoch[076] Batch [0159]/[1319] Speed: 207.531338 samples/sec accuracy=91.254883 lr=0.001000 Epoch[076] Batch [0179]/[1319] Speed: 243.217564 samples/sec accuracy=91.189236 lr=0.001000 Epoch[076] Batch [0199]/[1319] Speed: 225.340211 samples/sec accuracy=91.253906 lr=0.001000 Epoch[076] Batch [0219]/[1319] Speed: 232.489781 samples/sec accuracy=91.267756 lr=0.001000 Epoch[076] Batch [0239]/[1319] Speed: 214.713534 samples/sec accuracy=91.263021 lr=0.001000 Epoch[076] Batch [0259]/[1319] Speed: 222.807624 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[0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 076] training: accuracy=91.000521 [Epoch 076] speed: 220 samples/sec time cost: 875.030457 [Epoch 076] validation: acc-top1=44.770078 acc-top5=74.445434 wrote 2 events to disk Epoch[077] Batch [0019]/[1320] Speed: 107.948087 samples/sec accuracy=90.820312 lr=0.001000 Epoch[077] Batch [0039]/[1320] Speed: 205.086247 samples/sec accuracy=90.996094 lr=0.001000 Epoch[077] Batch [0059]/[1320] Speed: 240.745520 samples/sec accuracy=91.145833 lr=0.001000 Epoch[077] Batch [0079]/[1320] Speed: 211.915161 samples/sec accuracy=90.830078 lr=0.001000 Epoch[077] Batch [0099]/[1320] Speed: 225.283490 samples/sec accuracy=91.070312 lr=0.001000 Epoch[077] Batch [0119]/[1320] Speed: 223.391624 samples/sec accuracy=91.002604 lr=0.001000 Epoch[077] Batch [0139]/[1320] Speed: 224.179006 samples/sec accuracy=91.026786 lr=0.001000 Epoch[077] Batch [0159]/[1320] Speed: 221.391884 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Epoch[077] Batch [0819]/[1320] Speed: 218.031381 samples/sec accuracy=91.137576 lr=0.001000 Epoch[077] Batch [0839]/[1320] Speed: 213.546882 samples/sec accuracy=91.122582 lr=0.001000 Epoch[077] Batch [0859]/[1320] Speed: 238.917694 samples/sec accuracy=91.124637 lr=0.001000 Epoch[077] Batch [0879]/[1320] Speed: 208.162563 samples/sec accuracy=91.134588 lr=0.001000 Epoch[077] Batch [0899]/[1320] Speed: 238.343933 samples/sec accuracy=91.107639 lr=0.001000 Epoch[077] Batch [0919]/[1320] Speed: 223.670398 samples/sec accuracy=91.116678 lr=0.001000 Epoch[077] Batch [0939]/[1320] Speed: 214.653012 samples/sec accuracy=91.122839 lr=0.001000 Epoch[077] Batch [0959]/[1320] Speed: 227.734772 samples/sec accuracy=91.138509 lr=0.001000 Epoch[077] Batch [0979]/[1320] Speed: 215.464906 samples/sec accuracy=91.130421 lr=0.001000 Epoch[077] Batch [0999]/[1320] Speed: 225.902951 samples/sec accuracy=91.114844 lr=0.001000 Epoch[077] Batch [1019]/[1320] Speed: 213.059624 samples/sec accuracy=91.115962 lr=0.001000 Epoch[077] Batch [1039]/[1320] Speed: 225.468864 samples/sec accuracy=91.102764 lr=0.001000 Epoch[077] Batch [1059]/[1320] Speed: 220.480297 samples/sec accuracy=91.102594 lr=0.001000 Epoch[077] Batch [1079]/[1320] Speed: 220.240114 samples/sec accuracy=91.097367 lr=0.001000 Epoch[077] Batch [1099]/[1320] Speed: 226.341509 samples/sec accuracy=91.107955 lr=0.001000 Epoch[077] Batch [1119]/[1320] Speed: 224.039900 samples/sec accuracy=91.089565 lr=0.001000 Epoch[077] Batch [1139]/[1320] Speed: 216.832783 samples/sec accuracy=91.098547 lr=0.001000 Epoch[077] Batch [1159]/[1320] Speed: 235.059442 samples/sec accuracy=91.080954 lr=0.001000 Epoch[077] Batch [1179]/[1320] Speed: 208.995443 samples/sec accuracy=91.075212 lr=0.001000 Epoch[077] Batch [1199]/[1320] Speed: 228.081212 samples/sec accuracy=91.067057 lr=0.001000 Epoch[077] Batch [1219]/[1320] Speed: 221.534283 samples/sec accuracy=91.083504 lr=0.001000 Epoch[077] Batch [1239]/[1320] Speed: 222.940380 samples/sec accuracy=91.084299 lr=0.001000 Epoch[077] Batch [1259]/[1320] Speed: 219.980464 samples/sec accuracy=91.068948 lr=0.001000 Epoch[077] Batch [1279]/[1320] Speed: 226.962708 samples/sec accuracy=91.082153 lr=0.001000 Epoch[077] Batch [1299]/[1320] Speed: 221.503202 samples/sec accuracy=91.078726 lr=0.001000 Epoch[077] Batch [1319]/[1320] Speed: 285.527929 samples/sec accuracy=91.078954 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 077] training: accuracy=91.078954 [Epoch 077] speed: 218 samples/sec time cost: 880.095122 [Epoch 077] validation: acc-top1=44.717455 acc-top5=74.587111 wrote 2 events to disk Epoch[078] Batch [0019]/[1319] Speed: 103.565026 samples/sec accuracy=91.679688 lr=0.001000 Epoch[078] Batch [0039]/[1319] Speed: 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Epoch[078] Batch [0479]/[1319] Speed: 235.668559 samples/sec accuracy=91.508789 lr=0.001000 Epoch[078] Batch [0499]/[1319] Speed: 218.567028 samples/sec accuracy=91.495312 lr=0.001000 Epoch[078] Batch [0519]/[1319] Speed: 226.069167 samples/sec accuracy=91.479868 lr=0.001000 Epoch[078] Batch [0539]/[1319] Speed: 226.408111 samples/sec accuracy=91.472801 lr=0.001000 Epoch[078] Batch [0559]/[1319] Speed: 215.181461 samples/sec accuracy=91.455078 lr=0.001000 Epoch[078] Batch [0579]/[1319] Speed: 227.146872 samples/sec accuracy=91.458782 lr=0.001000 Epoch[078] Batch [0599]/[1319] Speed: 222.222080 samples/sec accuracy=91.437500 lr=0.001000 Epoch[078] Batch [0619]/[1319] Speed: 223.740822 samples/sec accuracy=91.399950 lr=0.001000 Epoch[078] Batch [0639]/[1319] Speed: 223.001457 samples/sec accuracy=91.395264 lr=0.001000 Epoch[078] Batch [0659]/[1319] Speed: 224.042929 samples/sec accuracy=91.401515 lr=0.001000 Epoch[078] Batch [0679]/[1319] Speed: 221.586754 samples/sec accuracy=91.402803 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accuracy=91.331597 lr=0.001000 Epoch[078] Batch [0919]/[1319] Speed: 211.268232 samples/sec accuracy=91.337466 lr=0.001000 Epoch[078] Batch [0939]/[1319] Speed: 233.921813 samples/sec accuracy=91.322307 lr=0.001000 Epoch[078] Batch [0959]/[1319] Speed: 225.304843 samples/sec accuracy=91.319987 lr=0.001000 Epoch[078] Batch [0979]/[1319] Speed: 212.585263 samples/sec accuracy=91.297832 lr=0.001000 Epoch[078] Batch [0999]/[1319] Speed: 218.710627 samples/sec accuracy=91.314063 lr=0.001000 Epoch[078] Batch [1019]/[1319] Speed: 241.579063 samples/sec accuracy=91.293658 lr=0.001000 Epoch[078] Batch [1039]/[1319] Speed: 210.393312 samples/sec accuracy=91.300331 lr=0.001000 Epoch[078] Batch [1059]/[1319] Speed: 227.136816 samples/sec accuracy=91.306751 lr=0.001000 Epoch[078] Batch [1079]/[1319] Speed: 224.565708 samples/sec accuracy=91.310041 lr=0.001000 Epoch[078] Batch [1099]/[1319] Speed: 220.552218 samples/sec accuracy=91.305398 lr=0.001000 Epoch[078] Batch [1119]/[1319] Speed: 220.829583 samples/sec accuracy=91.303013 lr=0.001000 Epoch[078] Batch [1139]/[1319] Speed: 219.536091 samples/sec accuracy=91.295916 lr=0.001000 Epoch[078] Batch [1159]/[1319] Speed: 227.789133 samples/sec accuracy=91.289736 lr=0.001000 Epoch[078] Batch [1179]/[1319] Speed: 227.542130 samples/sec accuracy=91.293697 lr=0.001000 Epoch[078] Batch [1199]/[1319] Speed: 213.391892 samples/sec accuracy=91.292318 lr=0.001000 Epoch[078] Batch [1219]/[1319] Speed: 219.282746 samples/sec accuracy=91.281378 lr=0.001000 Epoch[078] Batch [1239]/[1319] Speed: 227.436516 samples/sec accuracy=91.266381 lr=0.001000 Epoch[078] Batch [1259]/[1319] Speed: 223.662520 samples/sec accuracy=91.264261 lr=0.001000 Epoch[078] Batch [1279]/[1319] Speed: 213.152361 samples/sec accuracy=91.271362 lr=0.001000 Epoch[078] Batch [1299]/[1319] Speed: 258.328154 samples/sec accuracy=91.262620 lr=0.001000 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 078] training: accuracy=91.240997 [Epoch 078] speed: 219 samples/sec time cost: 880.204798 [Epoch 078] validation: acc-top1=44.438148 acc-top5=74.461626 wrote 2 events to disk Epoch[079] Batch [0019]/[1320] Speed: 104.552513 samples/sec accuracy=91.367188 lr=0.001000 Epoch[079] Batch [0039]/[1320] Speed: 215.182448 samples/sec accuracy=91.406250 lr=0.001000 Epoch[079] Batch [0059]/[1320] Speed: 243.290115 samples/sec accuracy=91.601562 lr=0.001000 Epoch[079] Batch [0079]/[1320] Speed: 217.758524 samples/sec accuracy=91.679688 lr=0.001000 Epoch[079] Batch [0099]/[1320] Speed: 233.527045 samples/sec accuracy=91.781250 lr=0.001000 Epoch[079] Batch [0119]/[1320] Speed: 219.387345 samples/sec accuracy=91.738281 lr=0.001000 Epoch[079] Batch [0139]/[1320] Speed: 227.734463 samples/sec accuracy=91.718750 lr=0.001000 Epoch[079] Batch 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lr=0.001000 Epoch[079] Batch [0599]/[1320] Speed: 226.059829 samples/sec accuracy=91.445312 lr=0.001000 Epoch[079] Batch [0619]/[1320] Speed: 227.911566 samples/sec accuracy=91.442792 lr=0.001000 Epoch[079] Batch [0639]/[1320] Speed: 221.463821 samples/sec accuracy=91.456299 lr=0.001000 Epoch[079] Batch [0659]/[1320] Speed: 221.810973 samples/sec accuracy=91.467803 lr=0.001000 Epoch[079] Batch [0679]/[1320] Speed: 228.469488 samples/sec accuracy=91.444164 lr=0.001000 Epoch[079] Batch [0699]/[1320] Speed: 230.008859 samples/sec accuracy=91.406250 lr=0.001000 Epoch[079] Batch [0719]/[1320] Speed: 207.701755 samples/sec accuracy=91.423611 lr=0.001000 Epoch[079] Batch [0739]/[1320] Speed: 236.384314 samples/sec accuracy=91.409417 lr=0.001000 Epoch[079] Batch [0759]/[1320] Speed: 213.686454 samples/sec accuracy=91.394942 lr=0.001000 Epoch[079] Batch [0779]/[1320] Speed: 227.727164 samples/sec accuracy=91.379207 lr=0.001000 Epoch[079] Batch [0799]/[1320] Speed: 227.113212 samples/sec accuracy=91.345703 lr=0.001000 Epoch[079] Batch [0819]/[1320] Speed: 224.537574 samples/sec accuracy=91.355755 lr=0.001000 Epoch[079] Batch [0839]/[1320] Speed: 219.265036 samples/sec accuracy=91.349516 lr=0.001000 Epoch[079] Batch [0859]/[1320] Speed: 225.920091 samples/sec accuracy=91.350836 lr=0.001000 Epoch[079] Batch [0879]/[1320] Speed: 219.074629 samples/sec accuracy=91.314808 lr=0.001000 Epoch[079] Batch [0899]/[1320] Speed: 220.564283 samples/sec accuracy=91.309028 lr=0.001000 Epoch[079] Batch [0919]/[1320] Speed: 231.145971 samples/sec accuracy=91.307745 lr=0.001000 Epoch[079] Batch [0939]/[1320] Speed: 227.397323 samples/sec accuracy=91.321476 lr=0.001000 Epoch[079] Batch [0959]/[1320] Speed: 219.936554 samples/sec accuracy=91.303711 lr=0.001000 Epoch[079] Batch [0979]/[1320] Speed: 230.979164 samples/sec accuracy=91.304209 lr=0.001000 Epoch[079] Batch [0999]/[1320] Speed: 218.380802 samples/sec accuracy=91.305469 lr=0.001000 Epoch[079] Batch [1019]/[1320] Speed: 231.871330 samples/sec accuracy=91.309743 lr=0.001000 Epoch[079] Batch [1039]/[1320] Speed: 217.629408 samples/sec accuracy=91.298077 lr=0.001000 Epoch[079] Batch [1059]/[1320] Speed: 229.719816 samples/sec accuracy=91.294222 lr=0.001000 Epoch[079] Batch [1079]/[1320] Speed: 217.766120 samples/sec accuracy=91.297743 lr=0.001000 Epoch[079] Batch [1099]/[1320] Speed: 231.541390 samples/sec accuracy=91.289062 lr=0.001000 Epoch[079] Batch [1119]/[1320] Speed: 219.339303 samples/sec accuracy=91.273717 lr=0.001000 Epoch[079] Batch [1139]/[1320] Speed: 216.549638 samples/sec accuracy=91.271245 lr=0.001000 Epoch[079] Batch [1159]/[1320] Speed: 231.298748 samples/sec accuracy=91.268858 lr=0.001000 Epoch[079] Batch [1179]/[1320] Speed: 213.035944 samples/sec accuracy=91.277145 lr=0.001000 Epoch[079] Batch [1199]/[1320] Speed: 227.673822 samples/sec accuracy=91.282552 lr=0.001000 Epoch[079] Batch [1219]/[1320] Speed: 219.101133 samples/sec accuracy=91.276895 lr=0.001000 Epoch[079] Batch [1239]/[1320] Speed: 223.954788 samples/sec accuracy=91.276462 lr=0.001000 Epoch[079] Batch [1259]/[1320] Speed: 218.685651 samples/sec accuracy=91.280382 lr=0.001000 Epoch[079] Batch [1279]/[1320] Speed: 220.373246 samples/sec accuracy=91.282959 lr=0.000100 Epoch[079] Batch [1299]/[1320] Speed: 239.644933 samples/sec accuracy=91.278245 lr=0.000100 Epoch[079] Batch [1319]/[1320] Speed: 281.384009 samples/sec accuracy=91.268939 lr=0.000100 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 079] training: accuracy=91.268939 [Epoch 079] speed: 220 samples/sec time cost: 876.945782 [Epoch 079] validation: acc-top1=44.417908 acc-top5=74.323996 wrote 2 events to disk Epoch[080] Batch [0019]/[1320] Speed: 105.926490 samples/sec accuracy=91.367188 lr=0.000100 Epoch[080] Batch 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Epoch[080] Batch [0259]/[1320] Speed: 215.177360 samples/sec accuracy=91.757812 lr=0.000100 Epoch[080] Batch [0279]/[1320] Speed: 225.800462 samples/sec accuracy=91.749442 lr=0.000100 Epoch[080] Batch [0299]/[1320] Speed: 218.612992 samples/sec accuracy=91.697917 lr=0.000100 Epoch[080] Batch [0319]/[1320] Speed: 223.269517 samples/sec accuracy=91.638184 lr=0.000100 Epoch[080] Batch [0339]/[1320] Speed: 214.822560 samples/sec accuracy=91.702665 lr=0.000100 Epoch[080] Batch [0359]/[1320] Speed: 234.140121 samples/sec accuracy=91.740451 lr=0.000100 Epoch[080] Batch [0379]/[1320] Speed: 217.997296 samples/sec accuracy=91.729030 lr=0.000100 Epoch[080] Batch [0399]/[1320] Speed: 233.844993 samples/sec accuracy=91.707031 lr=0.000100 Epoch[080] Batch [0419]/[1320] Speed: 216.879461 samples/sec accuracy=91.698289 lr=0.000100 Epoch[080] Batch [0439]/[1320] Speed: 223.727381 samples/sec accuracy=91.724077 lr=0.000100 Epoch[080] Batch [0459]/[1320] Speed: 222.319362 samples/sec accuracy=91.722147 lr=0.000100 Epoch[080] Batch [0479]/[1320] Speed: 229.882111 samples/sec accuracy=91.718750 lr=0.000100 Epoch[080] Batch [0499]/[1320] Speed: 212.895586 samples/sec accuracy=91.743750 lr=0.000100 Epoch[080] Batch [0519]/[1320] Speed: 228.334573 samples/sec accuracy=91.754808 lr=0.000100 Epoch[080] Batch [0539]/[1320] Speed: 215.788743 samples/sec accuracy=91.750579 lr=0.000100 Epoch[080] Batch [0559]/[1320] Speed: 229.148213 samples/sec accuracy=91.743862 lr=0.000100 Epoch[080] Batch [0579]/[1320] Speed: 234.278249 samples/sec accuracy=91.738955 lr=0.000100 Epoch[080] Batch [0599]/[1320] Speed: 211.618573 samples/sec accuracy=91.721354 lr=0.000100 Epoch[080] Batch [0619]/[1320] Speed: 226.475430 samples/sec accuracy=91.718750 lr=0.000100 Epoch[080] Batch [0639]/[1320] Speed: 226.846593 samples/sec accuracy=91.745605 lr=0.000100 Epoch[080] Batch [0659]/[1320] Speed: 213.965128 samples/sec accuracy=91.737689 lr=0.000100 Epoch[080] Batch [0679]/[1320] Speed: 235.280916 samples/sec accuracy=91.725643 lr=0.000100 Epoch[080] Batch [0699]/[1320] Speed: 219.489406 samples/sec accuracy=91.733259 lr=0.000100 Epoch[080] Batch [0719]/[1320] Speed: 240.269229 samples/sec accuracy=91.744792 lr=0.000100 Epoch[080] Batch [0739]/[1320] Speed: 215.663399 samples/sec accuracy=91.765203 lr=0.000100 Epoch[080] Batch [0759]/[1320] Speed: 229.279190 samples/sec accuracy=91.743421 lr=0.000100 Epoch[080] Batch [0779]/[1320] Speed: 197.077161 samples/sec accuracy=91.756811 lr=0.000100 Epoch[080] Batch [0799]/[1320] Speed: 241.800753 samples/sec accuracy=91.747070 lr=0.000100 Epoch[080] Batch [0819]/[1320] Speed: 213.569007 samples/sec accuracy=91.764482 lr=0.000100 Epoch[080] Batch [0839]/[1320] Speed: 226.338976 samples/sec accuracy=91.755952 lr=0.000100 Epoch[080] Batch [0859]/[1320] Speed: 216.927322 samples/sec accuracy=91.765080 lr=0.000100 Epoch[080] Batch [0879]/[1320] Speed: 231.000785 samples/sec accuracy=91.769354 lr=0.000100 Epoch[080] Batch [0899]/[1320] Speed: 226.563473 samples/sec accuracy=91.753472 lr=0.000100 Epoch[080] Batch [0919]/[1320] Speed: 220.292407 samples/sec accuracy=91.771399 lr=0.000100 Epoch[080] Batch [0939]/[1320] Speed: 223.689176 samples/sec accuracy=91.777759 lr=0.000100 Epoch[080] Batch [0959]/[1320] Speed: 218.502073 samples/sec accuracy=91.775716 lr=0.000100 Epoch[080] Batch [0979]/[1320] Speed: 236.255185 samples/sec accuracy=91.785714 lr=0.000100 Epoch[080] Batch [0999]/[1320] Speed: 215.905398 samples/sec accuracy=91.782813 lr=0.000100 Epoch[080] Batch [1019]/[1320] Speed: 209.026458 samples/sec accuracy=91.760110 lr=0.000100 Epoch[080] Batch [1039]/[1320] Speed: 236.950865 samples/sec accuracy=91.752554 lr=0.000100 Epoch[080] Batch [1059]/[1320] Speed: 217.381357 samples/sec accuracy=91.771079 lr=0.000100 Epoch[080] Batch [1079]/[1320] Speed: 232.832452 samples/sec accuracy=91.771557 lr=0.000100 Epoch[080] Batch [1099]/[1320] Speed: 203.838922 samples/sec accuracy=91.788352 lr=0.000100 Epoch[080] Batch [1119]/[1320] Speed: 239.139829 samples/sec accuracy=91.780831 lr=0.000100 Epoch[080] Batch [1139]/[1320] Speed: 230.168543 samples/sec accuracy=91.782484 lr=0.000100 Epoch[080] Batch [1159]/[1320] Speed: 221.810991 samples/sec accuracy=91.784079 lr=0.000100 Epoch[080] Batch [1179]/[1320] Speed: 223.368137 samples/sec accuracy=91.791578 lr=0.000100 Epoch[080] Batch [1199]/[1320] Speed: 234.963969 samples/sec accuracy=91.796224 lr=0.000100 Epoch[080] Batch [1219]/[1320] Speed: 206.766332 samples/sec accuracy=91.802638 lr=0.000100 Epoch[080] Batch [1239]/[1320] Speed: 236.692250 samples/sec accuracy=91.813256 lr=0.000100 Epoch[080] Batch [1259]/[1320] Speed: 215.770452 samples/sec accuracy=91.799355 lr=0.000100 Epoch[080] Batch [1279]/[1320] Speed: 212.305585 samples/sec accuracy=91.804199 lr=0.000100 Epoch[080] Batch [1299]/[1320] Speed: 266.599247 samples/sec accuracy=91.803486 lr=0.000100 Epoch[080] Batch [1319]/[1320] Speed: 253.467443 samples/sec accuracy=91.802202 lr=0.000100 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 080] training: accuracy=91.802202 [Epoch 080] speed: 220 samples/sec time cost: 877.700091 [Epoch 080] validation: acc-top1=44.879372 acc-top5=74.570920 wrote 2 events to disk Epoch[081] Batch [0019]/[1319] Speed: 109.668704 samples/sec accuracy=91.679688 lr=0.000100 Epoch[081] Batch [0039]/[1319] Speed: 208.801887 samples/sec accuracy=92.011719 lr=0.000100 Epoch[081] Batch [0059]/[1319] Speed: 254.158743 samples/sec accuracy=92.044271 lr=0.000100 Epoch[081] Batch [0079]/[1319] Speed: 218.603922 samples/sec accuracy=92.089844 lr=0.000100 Epoch[081] Batch [0099]/[1319] Speed: 223.936184 samples/sec accuracy=92.078125 lr=0.000100 Epoch[081] Batch [0119]/[1319] Speed: 242.463313 samples/sec accuracy=91.998698 lr=0.000100 Epoch[081] Batch [0139]/[1319] Speed: 215.029490 samples/sec accuracy=91.891741 lr=0.000100 Epoch[081] Batch [0159]/[1319] Speed: 221.831021 samples/sec accuracy=91.821289 lr=0.000100 Epoch[081] Batch [0179]/[1319] Speed: 233.512241 samples/sec accuracy=91.944444 lr=0.000100 Epoch[081] Batch [0199]/[1319] Speed: 216.944888 samples/sec accuracy=91.929688 lr=0.000100 Epoch[081] Batch [0219]/[1319] Speed: 201.198356 samples/sec accuracy=91.850142 lr=0.000100 Epoch[081] Batch [0239]/[1319] Speed: 249.722059 samples/sec accuracy=91.852214 lr=0.000100 Epoch[081] Batch [0259]/[1319] Speed: 213.579746 samples/sec accuracy=91.817909 lr=0.000100 Epoch[081] Batch [0279]/[1319] Speed: 239.766958 samples/sec accuracy=91.835938 lr=0.000100 Epoch[081] Batch [0299]/[1319] Speed: 224.125577 samples/sec accuracy=91.869792 lr=0.000100 Epoch[081] Batch [0319]/[1319] Speed: 216.918005 samples/sec accuracy=91.838379 lr=0.000100 Epoch[081] Batch [0339]/[1319] Speed: 239.006119 samples/sec accuracy=91.854320 lr=0.000100 Epoch[081] Batch [0359]/[1319] Speed: 221.785513 samples/sec accuracy=91.859809 lr=0.000100 Epoch[081] Batch [0379]/[1319] Speed: 225.164615 samples/sec accuracy=91.825658 lr=0.000100 Epoch[081] Batch [0399]/[1319] Speed: 210.312928 samples/sec accuracy=91.816406 lr=0.000100 Epoch[081] Batch [0419]/[1319] Speed: 239.049682 samples/sec accuracy=91.808036 lr=0.000100 Epoch[081] Batch [0439]/[1319] Speed: 212.760054 samples/sec accuracy=91.857244 lr=0.000100 Epoch[081] Batch [0459]/[1319] Speed: 233.160089 samples/sec accuracy=91.839334 lr=0.000100 Epoch[081] Batch [0479]/[1319] Speed: 210.142639 samples/sec accuracy=91.871745 lr=0.000100 Epoch[081] Batch [0499]/[1319] Speed: 231.936527 samples/sec accuracy=91.884375 lr=0.000100 Epoch[081] Batch [0519]/[1319] Speed: 225.588535 samples/sec accuracy=91.936599 lr=0.000100 Epoch[081] Batch [0539]/[1319] Speed: 213.222074 samples/sec accuracy=91.928530 lr=0.000100 Epoch[081] Batch [0559]/[1319] Speed: 225.241690 samples/sec accuracy=91.919643 lr=0.000100 Epoch[081] Batch [0579]/[1319] Speed: 244.322744 samples/sec accuracy=91.931573 lr=0.000100 Epoch[081] Batch [0599]/[1319] Speed: 198.235583 samples/sec accuracy=91.947917 lr=0.000100 Epoch[081] Batch [0619]/[1319] Speed: 246.614466 samples/sec accuracy=91.979587 lr=0.000100 Epoch[081] Batch [0639]/[1319] Speed: 209.079374 samples/sec accuracy=91.953125 lr=0.000100 Epoch[081] Batch [0659]/[1319] Speed: 238.842851 samples/sec accuracy=91.944839 lr=0.000100 Epoch[081] Batch [0679]/[1319] Speed: 220.506694 samples/sec accuracy=91.920956 lr=0.000100 Epoch[081] Batch [0699]/[1319] Speed: 230.928718 samples/sec accuracy=91.902902 lr=0.000100 Epoch[081] Batch [0719]/[1319] Speed: 213.021434 samples/sec accuracy=91.904297 lr=0.000100 Epoch[081] Batch [0739]/[1319] Speed: 228.218680 samples/sec accuracy=91.905617 lr=0.000100 Epoch[081] Batch [0759]/[1319] Speed: 199.362726 samples/sec accuracy=91.924342 lr=0.000100 Epoch[081] Batch [0779]/[1319] Speed: 246.778139 samples/sec accuracy=91.907051 lr=0.000100 Epoch[081] Batch [0799]/[1319] Speed: 222.464750 samples/sec accuracy=91.886719 lr=0.000100 Epoch[081] Batch [0819]/[1319] Speed: 229.472093 samples/sec accuracy=91.883575 lr=0.000100 Epoch[081] Batch [0839]/[1319] Speed: 218.287353 samples/sec accuracy=91.888021 lr=0.000100 Epoch[081] Batch [0859]/[1319] Speed: 231.979375 samples/sec accuracy=91.894077 lr=0.000100 Epoch[081] Batch [0879]/[1319] Speed: 221.728575 samples/sec accuracy=91.908736 lr=0.000100 Epoch[081] Batch [0899]/[1319] Speed: 233.942622 samples/sec accuracy=91.894965 lr=0.000100 Epoch[081] Batch [0919]/[1319] Speed: 210.927228 samples/sec accuracy=91.899626 lr=0.000100 Epoch[081] Batch [0939]/[1319] Speed: 224.882110 samples/sec accuracy=91.897440 lr=0.000100 Epoch[081] Batch [0959]/[1319] Speed: 223.409393 samples/sec accuracy=91.908366 lr=0.000100 Epoch[081] Batch [0979]/[1319] Speed: 220.522721 samples/sec accuracy=91.912468 lr=0.000100 Epoch[081] Batch [0999]/[1319] Speed: 225.544252 samples/sec accuracy=91.923438 lr=0.000100 Epoch[081] Batch [1019]/[1319] Speed: 216.727709 samples/sec accuracy=91.919424 lr=0.000100 Epoch[081] Batch [1039]/[1319] Speed: 231.484235 samples/sec accuracy=91.929838 lr=0.000100 Epoch[081] Batch [1059]/[1319] Speed: 228.775599 samples/sec accuracy=91.917748 lr=0.000100 Epoch[081] Batch [1079]/[1319] Speed: 211.427794 samples/sec accuracy=91.911169 lr=0.000100 Epoch[081] Batch [1099]/[1319] Speed: 241.599958 samples/sec accuracy=91.906960 lr=0.000100 Epoch[081] Batch [1119]/[1319] Speed: 214.885724 samples/sec accuracy=91.895926 lr=0.000100 Epoch[081] Batch [1139]/[1319] Speed: 218.561774 samples/sec accuracy=91.896245 lr=0.000100 Epoch[081] Batch [1159]/[1319] Speed: 237.366412 samples/sec accuracy=91.898572 lr=0.000100 Epoch[081] Batch [1179]/[1319] Speed: 221.318191 samples/sec accuracy=91.908104 lr=0.000100 Epoch[081] Batch [1199]/[1319] Speed: 211.313864 samples/sec accuracy=91.910156 lr=0.000100 Epoch[081] Batch [1219]/[1319] Speed: 231.373963 samples/sec accuracy=91.899334 lr=0.000100 Epoch[081] Batch [1239]/[1319] Speed: 228.909074 samples/sec accuracy=91.897051 lr=0.000100 Epoch[081] Batch [1259]/[1319] Speed: 224.210089 samples/sec accuracy=91.904142 lr=0.000100 Epoch[081] Batch [1279]/[1319] Speed: 203.088167 samples/sec accuracy=91.921387 lr=0.000100 Epoch[081] Batch [1299]/[1319] Speed: 271.606681 samples/sec accuracy=91.933293 lr=0.000100 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 081] training: accuracy=91.928071 [Epoch 081] speed: 220 samples/sec time cost: 874.995394 [Epoch 081] validation: acc-top1=44.721503 acc-top5=74.485913 wrote 2 events to disk Epoch[082] Batch [0019]/[1320] Speed: 104.902795 samples/sec accuracy=92.109375 lr=0.000100 Epoch[082] Batch [0039]/[1320] Speed: 211.766326 samples/sec accuracy=91.835938 lr=0.000100 Epoch[082] Batch [0059]/[1320] Speed: 241.643145 samples/sec accuracy=91.927083 lr=0.000100 Epoch[082] Batch [0079]/[1320] Speed: 221.831947 samples/sec accuracy=91.962891 lr=0.000100 Epoch[082] Batch [0099]/[1320] Speed: 215.425317 samples/sec accuracy=92.062500 lr=0.000100 Epoch[082] Batch [0119]/[1320] Speed: 239.989077 samples/sec accuracy=92.187500 lr=0.000100 Epoch[082] Batch [0139]/[1320] Speed: 220.860980 samples/sec accuracy=92.159598 lr=0.000100 Epoch[082] Batch [0159]/[1320] Speed: 226.895588 samples/sec accuracy=92.265625 lr=0.000100 Epoch[082] Batch [0179]/[1320] Speed: 214.612078 samples/sec accuracy=92.222222 lr=0.000100 Epoch[082] Batch [0199]/[1320] Speed: 228.103060 samples/sec accuracy=92.191406 lr=0.000100 Epoch[082] Batch [0219]/[1320] Speed: 227.683241 samples/sec accuracy=92.226562 lr=0.000100 Epoch[082] Batch [0239]/[1320] Speed: 229.322385 samples/sec accuracy=92.102865 lr=0.000100 Epoch[082] Batch [0259]/[1320] Speed: 207.179529 samples/sec accuracy=92.118389 lr=0.000100 Epoch[082] Batch [0279]/[1320] Speed: 233.875778 samples/sec accuracy=92.148438 lr=0.000100 Epoch[082] Batch [0299]/[1320] Speed: 203.546775 samples/sec accuracy=92.114583 lr=0.000100 Epoch[082] Batch [0319]/[1320] Speed: 241.812733 samples/sec accuracy=92.065430 lr=0.000100 Epoch[082] Batch [0339]/[1320] Speed: 220.354795 samples/sec accuracy=92.022059 lr=0.000100 Epoch[082] Batch [0359]/[1320] Speed: 228.176405 samples/sec accuracy=92.005208 lr=0.000100 Epoch[082] Batch [0379]/[1320] Speed: 231.629545 samples/sec accuracy=92.000411 lr=0.000100 Epoch[082] Batch [0399]/[1320] Speed: 214.007339 samples/sec accuracy=91.982422 lr=0.000100 Epoch[082] Batch [0419]/[1320] Speed: 226.337854 samples/sec accuracy=91.962426 lr=0.000100 Epoch[082] Batch [0439]/[1320] Speed: 226.959450 samples/sec accuracy=91.965554 lr=0.000100 Epoch[082] Batch [0459]/[1320] Speed: 206.997134 samples/sec accuracy=91.990489 lr=0.000100 Epoch[082] Batch [0479]/[1320] Speed: 211.958457 samples/sec accuracy=91.974284 lr=0.000100 Epoch[082] Batch [0499]/[1320] Speed: 234.909624 samples/sec accuracy=92.000000 lr=0.000100 Epoch[082] Batch [0519]/[1320] Speed: 215.436715 samples/sec accuracy=92.014724 lr=0.000100 Epoch[082] Batch [0539]/[1320] Speed: 234.752083 samples/sec accuracy=91.976273 lr=0.000100 Epoch[082] Batch [0559]/[1320] Speed: 230.314912 samples/sec accuracy=91.989397 lr=0.000100 Epoch[082] Batch [0579]/[1320] Speed: 218.086143 samples/sec accuracy=91.967942 lr=0.000100 Epoch[082] Batch [0599]/[1320] Speed: 224.259099 samples/sec accuracy=91.972656 lr=0.000100 Epoch[082] Batch [0619]/[1320] Speed: 220.540730 samples/sec accuracy=91.992188 lr=0.000100 Epoch[082] Batch [0639]/[1320] Speed: 228.899607 samples/sec accuracy=91.993408 lr=0.000100 Epoch[082] Batch [0659]/[1320] Speed: 232.210662 samples/sec accuracy=92.033617 lr=0.000100 Epoch[082] Batch [0679]/[1320] Speed: 194.224580 samples/sec accuracy=92.038143 lr=0.000100 Epoch[082] Batch [0699]/[1320] Speed: 238.621655 samples/sec accuracy=92.063616 lr=0.000100 Epoch[082] Batch [0719]/[1320] Speed: 237.540194 samples/sec accuracy=92.049696 lr=0.000100 Epoch[082] Batch [0739]/[1320] Speed: 205.897633 samples/sec accuracy=92.051309 lr=0.000100 Epoch[082] Batch [0759]/[1320] Speed: 221.223501 samples/sec accuracy=92.051809 lr=0.000100 Epoch[082] Batch [0779]/[1320] Speed: 233.830943 samples/sec accuracy=92.062300 lr=0.000100 Epoch[082] Batch [0799]/[1320] Speed: 225.388529 samples/sec accuracy=92.062500 lr=0.000100 Epoch[082] Batch [0819]/[1320] Speed: 225.206429 samples/sec accuracy=92.054116 lr=0.000100 Epoch[082] Batch [0839]/[1320] Speed: 222.253142 samples/sec accuracy=92.068452 lr=0.000100 Epoch[082] Batch [0859]/[1320] Speed: 225.595985 samples/sec accuracy=92.074855 lr=0.000100 Epoch[082] Batch [0879]/[1320] Speed: 228.815995 samples/sec accuracy=92.064986 lr=0.000100 Epoch[082] Batch [0899]/[1320] Speed: 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[1119]/[1320] Speed: 237.305648 samples/sec accuracy=92.118443 lr=0.000100 Epoch[082] Batch [1139]/[1320] Speed: 217.289078 samples/sec accuracy=92.124452 lr=0.000100 Epoch[082] Batch [1159]/[1320] Speed: 209.429505 samples/sec accuracy=92.125539 lr=0.000100 Epoch[082] Batch [1179]/[1320] Speed: 236.419071 samples/sec accuracy=92.132548 lr=0.000100 Epoch[082] Batch [1199]/[1320] Speed: 218.243664 samples/sec accuracy=92.136719 lr=0.000100 Epoch[082] Batch [1219]/[1320] Speed: 231.647299 samples/sec accuracy=92.140753 lr=0.000100 Epoch[082] Batch [1239]/[1320] Speed: 222.745304 samples/sec accuracy=92.153478 lr=0.000100 Epoch[082] Batch [1259]/[1320] Speed: 221.890125 samples/sec accuracy=92.150298 lr=0.000100 Epoch[082] Batch [1279]/[1320] Speed: 232.404100 samples/sec accuracy=92.157593 lr=0.000100 Epoch[082] Batch [1299]/[1320] Speed: 240.431638 samples/sec accuracy=92.157452 lr=0.000100 Epoch[082] Batch [1319]/[1320] Speed: 285.192240 samples/sec accuracy=92.147846 lr=0.000100 Batch [0019]/[0193]: evaluated Batch [0039]/[0193]: evaluated Batch [0059]/[0193]: evaluated Batch [0079]/[0193]: evaluated Batch [0099]/[0193]: evaluated Batch [0119]/[0193]: evaluated Batch [0139]/[0193]: evaluated Batch [0159]/[0193]: evaluated Batch [0179]/[0193]: evaluated [Epoch 082] training: accuracy=92.147846 [Epoch 082] speed: 220 samples/sec time cost: 873.605621 [Epoch 082] validation: acc-top1=44.834845 acc-top5=74.696405 wrote 2 events to disk