Namespace(accumulate=1, batch_norm=False, batch_size=8, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, freeze_bn=False, hard_weight=0.5, hashtag='', input_5d=False, input_size=112, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='r2plus1d_res50_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_run1.log', lr=0.1, lr_decay=0.1, lr_decay_epoch='40,60', lr_decay_period=0, lr_mode='cosine', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='r2plus1d_resnet50_kinetics400', momentum=0.9, new_height=128, new_length=16, new_step=2, new_width=171, no_wd=False, num_classes=400, num_crop=1, num_epochs=196, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/kinetics400/r2plus1d/r2plus1d_res50_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_run1', save_frequency=10, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=False, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=34, warmup_lr=0.001, wd=0.0001) Total batch size is set to 64 on 8 GPUs R2Plus1D( (conv1): Conv3D(3 -> 45, kernel_size=(1, 7, 7), stride=(1, 2, 2), padding=(0, 3, 3), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=45) (relu): Activation(relu) (conv2): Conv3D(45 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (layer1): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(64 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (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) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 177, 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=177) (relu): Activation(relu) (conv2): Conv3D(177 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (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) ) (2): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 177, 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=177) (relu): Activation(relu) (conv2): Conv3D(177 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (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) ) ) (layer2): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(256 -> 512, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv3D(256 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 329, 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=329) (relu): Activation(relu) (conv2): Conv3D(329 -> 128, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (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) ) (1): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 354, 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=354) (relu): Activation(relu) (conv2): Conv3D(354 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (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) ) (2): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 354, 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=354) (relu): Activation(relu) (conv2): Conv3D(354 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (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) ) (3): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 354, 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=354) (relu): Activation(relu) (conv2): Conv3D(354 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (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) ) ) (layer3): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(512 -> 1024, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(512 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 658, 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=658) (relu): Activation(relu) (conv2): Conv3D(658 -> 256, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) (1): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 708, 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=708) (relu): Activation(relu) (conv2): Conv3D(708 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) (2): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 708, 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=708) (relu): Activation(relu) (conv2): Conv3D(708 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) (3): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 708, 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=708) (relu): Activation(relu) (conv2): Conv3D(708 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) (4): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 708, 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=708) (relu): Activation(relu) (conv2): Conv3D(708 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) (5): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 708, 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=708) (relu): Activation(relu) (conv2): Conv3D(708 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) ) ) (layer4): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(1024 -> 2048, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv3D(1024 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1316, 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=1316) (relu): Activation(relu) (conv2): Conv3D(1316 -> 512, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (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) ) (1): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1417, 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=1417) (relu): Activation(relu) (conv2): Conv3D(1417 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (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) ) (2): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1417, 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=1417) (relu): Activation(relu) (conv2): Conv3D(1417 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (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) ) ) (avgpool): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (dropout): Dropout(p = 0.5, axes=()) (fc): Dense(2048 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 63.892949 samples/sec accuracy=0.343750 loss=5.977972 lr=0.001039 Epoch[000] Batch [0099]/[3759] Speed: 121.499777 samples/sec accuracy=0.375000 loss=5.982594 lr=0.001077 Epoch[000] Batch [0149]/[3759] Speed: 120.810882 samples/sec accuracy=0.322917 loss=5.992724 lr=0.001116 Epoch[000] Batch [0199]/[3759] Speed: 119.602673 samples/sec accuracy=0.328125 loss=5.992714 lr=0.001155 Epoch[000] Batch [0249]/[3759] Speed: 120.889976 samples/sec accuracy=0.375000 loss=5.992037 lr=0.001194 Epoch[000] Batch [0299]/[3759] Speed: 120.004159 samples/sec accuracy=0.390625 loss=5.991284 lr=0.001232 Epoch[000] Batch [0349]/[3759] Speed: 120.665046 samples/sec accuracy=0.383929 loss=5.993183 lr=0.001271 Epoch[000] Batch [0399]/[3759] Speed: 119.746581 samples/sec accuracy=0.394531 loss=5.992259 lr=0.001310 Epoch[000] Batch [0449]/[3759] Speed: 119.104954 samples/sec accuracy=0.402778 loss=5.993067 lr=0.001349 Epoch[000] Batch [0499]/[3759] Speed: 119.879779 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Epoch[000] Batch [2899]/[3759] Speed: 120.429691 samples/sec accuracy=0.703664 loss=5.867027 lr=0.003246 Epoch[000] Batch [2949]/[3759] Speed: 120.120084 samples/sec accuracy=0.715042 loss=5.864643 lr=0.003285 Epoch[000] Batch [2999]/[3759] Speed: 120.443501 samples/sec accuracy=0.724479 loss=5.861961 lr=0.003324 Epoch[000] Batch [3049]/[3759] Speed: 120.487940 samples/sec accuracy=0.723361 loss=5.858822 lr=0.003363 Epoch[000] Batch [3099]/[3759] Speed: 121.013476 samples/sec accuracy=0.733871 loss=5.856021 lr=0.003401 Epoch[000] Batch [3149]/[3759] Speed: 119.852805 samples/sec accuracy=0.737103 loss=5.853556 lr=0.003440 Epoch[000] Batch [3199]/[3759] Speed: 120.060624 samples/sec accuracy=0.744629 loss=5.850528 lr=0.003479 Epoch[000] Batch [3249]/[3759] Speed: 119.876696 samples/sec accuracy=0.747115 loss=5.848039 lr=0.003518 Epoch[000] Batch [3299]/[3759] Speed: 120.077320 samples/sec accuracy=0.750947 loss=5.845593 lr=0.003556 Epoch[000] Batch [3349]/[3759] Speed: 119.181837 samples/sec accuracy=0.764459 loss=5.843121 lr=0.003595 Epoch[000] Batch [3399]/[3759] Speed: 120.351150 samples/sec accuracy=0.773897 loss=5.840266 lr=0.003634 Epoch[000] Batch [3449]/[3759] Speed: 119.563903 samples/sec accuracy=0.781703 loss=5.837509 lr=0.003672 Epoch[000] Batch [3499]/[3759] Speed: 119.592184 samples/sec accuracy=0.787500 loss=5.834974 lr=0.003711 Epoch[000] Batch [3549]/[3759] Speed: 118.068842 samples/sec accuracy=0.795335 loss=5.832066 lr=0.003750 Epoch[000] Batch [3599]/[3759] Speed: 119.717056 samples/sec accuracy=0.807726 loss=5.829378 lr=0.003789 Epoch[000] Batch [3649]/[3759] Speed: 120.135629 samples/sec accuracy=0.819777 loss=5.826689 lr=0.003827 Epoch[000] Batch [3699]/[3759] Speed: 120.645297 samples/sec accuracy=0.829814 loss=5.823868 lr=0.003866 Epoch[000] Batch [3749]/[3759] Speed: 124.423164 samples/sec accuracy=0.838750 loss=5.821019 lr=0.003905 Batch [0049]/[0303]: acc-top1=1.125000 acc-top5=4.250000 Batch [0099]/[0303]: acc-top1=0.718750 acc-top5=2.906250 Batch [0149]/[0303]: acc-top1=1.385417 acc-top5=4.416667 Batch [0199]/[0303]: acc-top1=1.093750 acc-top5=4.890625 Batch [0249]/[0303]: acc-top1=1.343750 acc-top5=4.925000 Batch [0299]/[0303]: acc-top1=1.255208 acc-top5=4.994792 [Epoch 000] training: accuracy=0.841314 loss=5.820539 [Epoch 000] speed: 118 samples/sec time cost: 2151.653134 [Epoch 000] validation: acc-top1=1.242781 acc-top5=4.945338 loss=5.960757 Epoch[001] Batch [0049]/[3760] Speed: 86.413480 samples/sec accuracy=1.656250 loss=5.600782 lr=0.003951 Epoch[001] Batch [0099]/[3760] Speed: 120.311730 samples/sec accuracy=1.781250 loss=5.610148 lr=0.003989 Epoch[001] Batch [0149]/[3760] Speed: 119.167652 samples/sec accuracy=1.635417 loss=5.600132 lr=0.004028 Epoch[001] Batch [0199]/[3760] Speed: 118.003837 samples/sec accuracy=1.554688 loss=5.596983 lr=0.004067 Epoch[001] Batch [0249]/[3760] Speed: 118.392553 samples/sec accuracy=1.525000 loss=5.588385 lr=0.004105 Epoch[001] Batch [0299]/[3760] Speed: 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lr=0.006700 Epoch[001] Batch [3649]/[3760] Speed: 119.059153 samples/sec accuracy=2.603168 loss=5.421122 lr=0.006739 Epoch[001] Batch [3699]/[3760] Speed: 119.248412 samples/sec accuracy=2.618243 loss=5.419288 lr=0.006778 Epoch[001] Batch [3749]/[3760] Speed: 123.664065 samples/sec accuracy=2.630833 loss=5.417161 lr=0.006817 Batch [0049]/[0303]: acc-top1=1.437500 acc-top5=6.750000 Batch [0099]/[0303]: acc-top1=2.453125 acc-top5=7.890625 Batch [0149]/[0303]: acc-top1=3.093750 acc-top5=10.489583 Batch [0199]/[0303]: acc-top1=2.968750 acc-top5=11.210938 Batch [0249]/[0303]: acc-top1=3.237500 acc-top5=11.868750 Batch [0299]/[0303]: acc-top1=3.291667 acc-top5=11.729167 [Epoch 001] training: accuracy=2.633394 loss=5.416780 [Epoch 001] speed: 118 samples/sec time cost: 2149.597374 [Epoch 001] validation: acc-top1=3.326114 acc-top5=11.783210 loss=6.757212 Epoch[002] Batch [0049]/[3759] Speed: 88.470055 samples/sec accuracy=3.687500 loss=5.271616 lr=0.006863 Epoch[002] Batch [0099]/[3759] 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accuracy=4.120833 loss=5.193905 lr=0.007986 Epoch[002] Batch [1549]/[3759] Speed: 118.882666 samples/sec accuracy=4.141129 loss=5.192646 lr=0.008025 Epoch[002] Batch [1599]/[3759] Speed: 118.833649 samples/sec accuracy=4.134766 loss=5.193165 lr=0.008064 Epoch[002] Batch [1649]/[3759] Speed: 119.107999 samples/sec accuracy=4.153409 loss=5.191489 lr=0.008102 Epoch[002] Batch [1699]/[3759] Speed: 118.443603 samples/sec accuracy=4.163603 loss=5.190747 lr=0.008141 Epoch[002] Batch [1749]/[3759] Speed: 118.352374 samples/sec accuracy=4.180357 loss=5.189209 lr=0.008180 Epoch[002] Batch [1799]/[3759] Speed: 119.272180 samples/sec accuracy=4.200521 loss=5.187497 lr=0.008219 Epoch[002] Batch [1849]/[3759] Speed: 119.563432 samples/sec accuracy=4.211149 loss=5.185695 lr=0.008257 Epoch[002] Batch [1899]/[3759] Speed: 118.754951 samples/sec accuracy=4.217105 loss=5.184360 lr=0.008296 Epoch[002] Batch [1949]/[3759] Speed: 119.271106 samples/sec accuracy=4.217949 loss=5.182711 lr=0.008335 Epoch[002] 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accuracy=4.401786 loss=5.165026 lr=0.008722 Epoch[002] Batch [2499]/[3759] Speed: 117.616650 samples/sec accuracy=4.431250 loss=5.162307 lr=0.008761 Epoch[002] Batch [2549]/[3759] Speed: 118.042356 samples/sec accuracy=4.438113 loss=5.161134 lr=0.008800 Epoch[002] Batch [2599]/[3759] Speed: 118.704301 samples/sec accuracy=4.451923 loss=5.158683 lr=0.008838 Epoch[002] Batch [2649]/[3759] Speed: 119.596887 samples/sec accuracy=4.471698 loss=5.155942 lr=0.008877 Epoch[002] Batch [2699]/[3759] Speed: 119.031896 samples/sec accuracy=4.512153 loss=5.153056 lr=0.008916 Epoch[002] Batch [2749]/[3759] Speed: 119.531432 samples/sec accuracy=4.515341 loss=5.151375 lr=0.008955 Epoch[002] Batch [2799]/[3759] Speed: 118.677670 samples/sec accuracy=4.525670 loss=5.149532 lr=0.008993 Epoch[002] Batch [2849]/[3759] Speed: 118.823189 samples/sec accuracy=4.547149 loss=5.147898 lr=0.009032 Epoch[002] Batch [2899]/[3759] Speed: 118.832822 samples/sec accuracy=4.561961 loss=5.146166 lr=0.009071 Epoch[002] Batch [2949]/[3759] Speed: 118.631567 samples/sec accuracy=4.584746 loss=5.144170 lr=0.009109 Epoch[002] Batch [2999]/[3759] Speed: 118.764249 samples/sec accuracy=4.603646 loss=5.142203 lr=0.009148 Epoch[002] Batch [3049]/[3759] Speed: 118.386849 samples/sec accuracy=4.619365 loss=5.140313 lr=0.009187 Epoch[002] Batch [3099]/[3759] Speed: 119.184102 samples/sec accuracy=4.633569 loss=5.138539 lr=0.009226 Epoch[002] Batch [3149]/[3759] Speed: 118.523942 samples/sec accuracy=4.643849 loss=5.137363 lr=0.009264 Epoch[002] Batch [3199]/[3759] Speed: 118.489532 samples/sec accuracy=4.656250 loss=5.135313 lr=0.009303 Epoch[002] Batch [3249]/[3759] Speed: 118.900322 samples/sec accuracy=4.681250 loss=5.133024 lr=0.009342 Epoch[002] Batch [3299]/[3759] Speed: 118.712428 samples/sec accuracy=4.704072 loss=5.130732 lr=0.009381 Epoch[002] Batch [3349]/[3759] Speed: 119.069653 samples/sec accuracy=4.722948 loss=5.128049 lr=0.009419 Epoch[002] Batch [3399]/[3759] Speed: 119.492073 samples/sec accuracy=4.745864 loss=5.125488 lr=0.009458 Epoch[002] Batch [3449]/[3759] Speed: 119.810752 samples/sec accuracy=4.753170 loss=5.123406 lr=0.009497 Epoch[002] Batch [3499]/[3759] Speed: 118.895058 samples/sec accuracy=4.768304 loss=5.120971 lr=0.009536 Epoch[002] Batch [3549]/[3759] Speed: 118.869232 samples/sec accuracy=4.785211 loss=5.118671 lr=0.009574 Epoch[002] Batch [3599]/[3759] Speed: 118.995659 samples/sec accuracy=4.808594 loss=5.116152 lr=0.009613 Epoch[002] Batch [3649]/[3759] Speed: 119.095566 samples/sec accuracy=4.826199 loss=5.113425 lr=0.009652 Epoch[002] Batch [3699]/[3759] Speed: 119.079077 samples/sec accuracy=4.835304 loss=5.111107 lr=0.009690 Epoch[002] Batch [3749]/[3759] Speed: 122.660697 samples/sec accuracy=4.857917 loss=5.109396 lr=0.009729 Batch [0049]/[0303]: acc-top1=3.500000 acc-top5=15.312500 Batch [0099]/[0303]: acc-top1=3.796875 acc-top5=14.062500 Batch [0149]/[0303]: acc-top1=5.031250 acc-top5=16.260417 Batch [0199]/[0303]: acc-top1=6.125000 acc-top5=17.914062 Batch [0249]/[0303]: acc-top1=6.162500 acc-top5=18.125000 Batch [0299]/[0303]: acc-top1=5.984375 acc-top5=18.187500 [Epoch 002] training: accuracy=4.860418 loss=5.109095 [Epoch 002] speed: 118 samples/sec time cost: 2153.234498 [Epoch 002] validation: acc-top1=5.976691 acc-top5=18.141502 loss=5.385019 Epoch[003] Batch [0049]/[3760] Speed: 87.118412 samples/sec accuracy=5.906250 loss=4.986476 lr=0.009775 Epoch[003] Batch [0099]/[3760] Speed: 119.189668 samples/sec accuracy=5.890625 loss=4.975277 lr=0.009814 Epoch[003] Batch [0149]/[3760] Speed: 119.992067 samples/sec accuracy=6.052083 loss=4.962822 lr=0.009852 Epoch[003] Batch [0199]/[3760] Speed: 119.385038 samples/sec accuracy=6.117188 loss=4.952171 lr=0.009891 Epoch[003] Batch [0249]/[3760] Speed: 119.307969 samples/sec accuracy=6.218750 loss=4.942237 lr=0.009930 Epoch[003] Batch [0299]/[3760] Speed: 119.189105 samples/sec accuracy=6.104167 loss=4.944631 lr=0.009969 Epoch[003] Batch [0349]/[3760] Speed: 119.444709 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Epoch[003] Batch [0849]/[3760] Speed: 118.585737 samples/sec accuracy=6.397059 loss=4.919744 lr=0.010395 Epoch[003] Batch [0899]/[3760] Speed: 119.402463 samples/sec accuracy=6.439236 loss=4.913767 lr=0.010433 Epoch[003] Batch [0949]/[3760] Speed: 118.185407 samples/sec accuracy=6.457237 loss=4.913401 lr=0.010472 Epoch[003] Batch [0999]/[3760] Speed: 117.856944 samples/sec accuracy=6.457813 loss=4.910885 lr=0.010511 Epoch[003] Batch [1049]/[3760] Speed: 118.835065 samples/sec accuracy=6.437500 loss=4.910630 lr=0.010549 Epoch[003] Batch [1099]/[3760] Speed: 118.229413 samples/sec accuracy=6.441761 loss=4.910260 lr=0.010588 Epoch[003] Batch [1149]/[3760] Speed: 119.433090 samples/sec accuracy=6.455163 loss=4.909650 lr=0.010627 Epoch[003] Batch [1199]/[3760] Speed: 120.097910 samples/sec accuracy=6.442708 loss=4.908773 lr=0.010666 Epoch[003] Batch [1249]/[3760] Speed: 119.570989 samples/sec accuracy=6.492500 loss=4.906386 lr=0.010704 Epoch[003] Batch [1299]/[3760] Speed: 119.049783 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Epoch[003] Batch [1799]/[3760] Speed: 118.521051 samples/sec accuracy=6.627604 loss=4.893896 lr=0.011130 Epoch[003] Batch [1849]/[3760] Speed: 119.447986 samples/sec accuracy=6.651182 loss=4.892901 lr=0.011169 Epoch[003] Batch [1899]/[3760] Speed: 118.941867 samples/sec accuracy=6.673520 loss=4.889899 lr=0.011208 Epoch[003] Batch [1949]/[3760] Speed: 119.145451 samples/sec accuracy=6.671474 loss=4.888322 lr=0.011247 Epoch[003] Batch [1999]/[3760] Speed: 119.109545 samples/sec accuracy=6.689844 loss=4.885148 lr=0.011285 Epoch[003] Batch [2049]/[3760] Speed: 118.973601 samples/sec accuracy=6.700457 loss=4.883676 lr=0.011324 Epoch[003] Batch [2099]/[3760] Speed: 118.644563 samples/sec accuracy=6.733631 loss=4.880806 lr=0.011363 Epoch[003] Batch [2149]/[3760] Speed: 119.402395 samples/sec accuracy=6.753634 loss=4.878506 lr=0.011402 Epoch[003] Batch [2199]/[3760] Speed: 118.275223 samples/sec accuracy=6.758523 loss=4.876651 lr=0.011440 Epoch[003] Batch [2249]/[3760] Speed: 118.836396 samples/sec accuracy=6.759028 loss=4.875248 lr=0.011479 Epoch[003] Batch [2299]/[3760] Speed: 118.726163 samples/sec accuracy=6.785326 loss=4.872820 lr=0.011518 Epoch[003] Batch [2349]/[3760] Speed: 118.554594 samples/sec accuracy=6.800532 loss=4.871792 lr=0.011556 Epoch[003] Batch [2399]/[3760] Speed: 119.196933 samples/sec accuracy=6.809245 loss=4.870535 lr=0.011595 Epoch[003] Batch [2449]/[3760] Speed: 118.851964 samples/sec accuracy=6.847577 loss=4.868613 lr=0.011634 Epoch[003] Batch [2499]/[3760] Speed: 118.710891 samples/sec accuracy=6.870000 loss=4.867117 lr=0.011673 Epoch[003] Batch [2549]/[3760] Speed: 119.554151 samples/sec accuracy=6.893995 loss=4.864291 lr=0.011711 Epoch[003] Batch [2599]/[3760] Speed: 118.366434 samples/sec accuracy=6.907452 loss=4.863076 lr=0.011750 Epoch[003] Batch [2649]/[3760] Speed: 118.642122 samples/sec accuracy=6.919222 loss=4.861631 lr=0.011789 Epoch[003] Batch [2699]/[3760] Speed: 118.597203 samples/sec accuracy=6.945023 loss=4.859232 lr=0.011828 Epoch[003] Batch [2749]/[3760] Speed: 118.073110 samples/sec accuracy=6.962500 loss=4.857249 lr=0.011866 Epoch[003] Batch [2799]/[3760] Speed: 118.710868 samples/sec accuracy=6.982701 loss=4.855125 lr=0.011905 Epoch[003] Batch [2849]/[3760] Speed: 117.982150 samples/sec accuracy=6.987939 loss=4.854112 lr=0.011944 Epoch[003] Batch [2899]/[3760] Speed: 118.718931 samples/sec accuracy=6.998384 loss=4.852736 lr=0.011983 Epoch[003] Batch [2949]/[3760] Speed: 118.920236 samples/sec accuracy=6.985699 loss=4.852757 lr=0.012021 Epoch[003] Batch [2999]/[3760] Speed: 118.695651 samples/sec accuracy=6.984375 loss=4.852530 lr=0.012060 Epoch[003] Batch [3049]/[3760] Speed: 118.091169 samples/sec accuracy=7.006148 loss=4.851960 lr=0.012099 Epoch[003] Batch [3099]/[3760] Speed: 118.543906 samples/sec accuracy=7.014113 loss=4.851797 lr=0.012137 Epoch[003] Batch [3149]/[3760] Speed: 119.196359 samples/sec accuracy=7.028274 loss=4.851485 lr=0.012176 Epoch[003] Batch [3199]/[3760] Speed: 118.087942 samples/sec accuracy=7.036133 loss=4.850172 lr=0.012215 Epoch[003] Batch [3249]/[3760] Speed: 119.388511 samples/sec accuracy=7.030769 loss=4.849805 lr=0.012254 Epoch[003] Batch [3299]/[3760] Speed: 118.891551 samples/sec accuracy=7.040246 loss=4.848978 lr=0.012292 Epoch[003] Batch [3349]/[3760] Speed: 119.414124 samples/sec accuracy=7.050840 loss=4.847218 lr=0.012331 Epoch[003] Batch [3399]/[3760] Speed: 118.390041 samples/sec accuracy=7.070772 loss=4.845731 lr=0.012370 Epoch[003] Batch [3449]/[3760] Speed: 119.289772 samples/sec accuracy=7.073822 loss=4.844804 lr=0.012409 Epoch[003] Batch [3499]/[3760] Speed: 119.268567 samples/sec accuracy=7.090179 loss=4.843792 lr=0.012447 Epoch[003] Batch [3549]/[3760] Speed: 118.947986 samples/sec accuracy=7.098592 loss=4.842941 lr=0.012486 Epoch[003] Batch [3599]/[3760] Speed: 118.582371 samples/sec accuracy=7.112847 loss=4.841432 lr=0.012525 Epoch[003] Batch [3649]/[3760] Speed: 118.218626 samples/sec accuracy=7.121147 loss=4.840950 lr=0.012563 Epoch[003] Batch [3699]/[3760] Speed: 118.965665 samples/sec accuracy=7.127111 loss=4.840840 lr=0.012602 Epoch[003] Batch [3749]/[3760] Speed: 122.893039 samples/sec accuracy=7.137083 loss=4.839682 lr=0.012641 Batch [0049]/[0303]: acc-top1=5.312500 acc-top5=18.218750 Batch [0099]/[0303]: acc-top1=6.046875 acc-top5=18.203125 Batch [0149]/[0303]: acc-top1=7.020833 acc-top5=20.677083 Batch [0199]/[0303]: acc-top1=8.320312 acc-top5=22.101562 Batch [0249]/[0303]: acc-top1=8.256250 acc-top5=22.356250 Batch [0299]/[0303]: acc-top1=7.796875 acc-top5=22.333333 [Epoch 003] training: accuracy=7.139711 loss=4.839373 [Epoch 003] speed: 118 samples/sec time cost: 2152.557304 [Epoch 003] validation: acc-top1=7.760932 acc-top5=22.282384 loss=4.945109 Epoch[004] Batch [0049]/[3760] Speed: 87.301624 samples/sec accuracy=8.125000 loss=4.734426 lr=0.012687 Epoch[004] Batch [0099]/[3760] Speed: 118.986883 samples/sec accuracy=8.234375 loss=4.704324 lr=0.012726 Epoch[004] Batch [0149]/[3760] Speed: 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lr=0.014585 Epoch[004] Batch [2549]/[3760] Speed: 119.261432 samples/sec accuracy=9.058824 loss=4.641944 lr=0.014624 Epoch[004] Batch [2599]/[3760] Speed: 119.075015 samples/sec accuracy=9.069712 loss=4.639991 lr=0.014663 Epoch[004] Batch [2649]/[3760] Speed: 119.539567 samples/sec accuracy=9.081958 loss=4.638700 lr=0.014701 Epoch[004] Batch [2699]/[3760] Speed: 119.824260 samples/sec accuracy=9.109954 loss=4.635703 lr=0.014740 Epoch[004] Batch [2749]/[3760] Speed: 119.907282 samples/sec accuracy=9.121591 loss=4.634444 lr=0.014779 Epoch[004] Batch [2799]/[3760] Speed: 119.561272 samples/sec accuracy=9.147879 loss=4.632779 lr=0.014818 Epoch[004] Batch [2849]/[3760] Speed: 119.354954 samples/sec accuracy=9.166667 loss=4.631512 lr=0.014856 Epoch[004] Batch [2899]/[3760] Speed: 119.059523 samples/sec accuracy=9.189116 loss=4.629305 lr=0.014895 Epoch[004] Batch [2949]/[3760] Speed: 119.097066 samples/sec accuracy=9.207097 loss=4.628272 lr=0.014934 Epoch[004] Batch [2999]/[3760] Speed: 118.657589 samples/sec accuracy=9.235937 loss=4.625718 lr=0.014973 Epoch[004] Batch [3049]/[3760] Speed: 119.158621 samples/sec accuracy=9.266393 loss=4.624030 lr=0.015011 Epoch[004] Batch [3099]/[3760] Speed: 119.169348 samples/sec accuracy=9.274698 loss=4.622539 lr=0.015050 Epoch[004] Batch [3149]/[3760] Speed: 118.342440 samples/sec accuracy=9.300595 loss=4.621078 lr=0.015089 Epoch[004] Batch [3199]/[3760] Speed: 119.085123 samples/sec accuracy=9.318848 loss=4.619860 lr=0.015127 Epoch[004] Batch [3249]/[3760] Speed: 118.054193 samples/sec accuracy=9.350481 loss=4.617807 lr=0.015166 Epoch[004] Batch [3299]/[3760] Speed: 118.895542 samples/sec accuracy=9.362689 loss=4.615362 lr=0.015205 Epoch[004] Batch [3349]/[3760] Speed: 118.556909 samples/sec accuracy=9.399720 loss=4.612930 lr=0.015244 Epoch[004] Batch [3399]/[3760] Speed: 118.598722 samples/sec accuracy=9.408088 loss=4.611834 lr=0.015282 Epoch[004] Batch [3449]/[3760] Speed: 118.947490 samples/sec accuracy=9.421196 loss=4.611147 lr=0.015321 Epoch[004] Batch [3499]/[3760] Speed: 119.337539 samples/sec accuracy=9.425446 loss=4.609642 lr=0.015360 Epoch[004] Batch [3549]/[3760] Speed: 118.554773 samples/sec accuracy=9.449824 loss=4.608394 lr=0.015399 Epoch[004] Batch [3599]/[3760] Speed: 118.373649 samples/sec accuracy=9.472656 loss=4.606709 lr=0.015437 Epoch[004] Batch [3649]/[3760] Speed: 118.686961 samples/sec accuracy=9.492723 loss=4.604939 lr=0.015476 Epoch[004] Batch [3699]/[3760] Speed: 119.415923 samples/sec accuracy=9.512247 loss=4.603380 lr=0.015515 Epoch[004] Batch [3749]/[3760] Speed: 122.690248 samples/sec accuracy=9.520417 loss=4.603214 lr=0.015554 Batch [0049]/[0303]: acc-top1=8.468750 acc-top5=25.781250 Batch [0099]/[0303]: acc-top1=9.859375 acc-top5=26.015625 Batch [0149]/[0303]: acc-top1=9.854167 acc-top5=27.125000 Batch [0199]/[0303]: acc-top1=10.742188 acc-top5=27.648438 Batch [0249]/[0303]: acc-top1=11.012500 acc-top5=28.075000 Batch [0299]/[0303]: acc-top1=10.921875 acc-top5=28.182292 [Epoch 004] training: accuracy=9.519614 loss=4.603116 [Epoch 004] speed: 118 samples/sec time cost: 2152.058422 [Epoch 004] validation: acc-top1=10.891089 acc-top5=28.192038 loss=4.580122 Epoch[005] Batch [0049]/[3759] Speed: 88.622462 samples/sec accuracy=10.875000 loss=4.502077 lr=0.015600 Epoch[005] Batch [0099]/[3759] Speed: 119.933418 samples/sec accuracy=10.796875 loss=4.475286 lr=0.015639 Epoch[005] Batch [0149]/[3759] Speed: 119.272856 samples/sec accuracy=11.166667 loss=4.464231 lr=0.015677 Epoch[005] Batch [0199]/[3759] Speed: 119.644524 samples/sec accuracy=11.085938 loss=4.459252 lr=0.015716 Epoch[005] Batch [0249]/[3759] Speed: 119.575072 samples/sec accuracy=11.025000 loss=4.462649 lr=0.015755 Epoch[005] Batch [0299]/[3759] Speed: 118.258462 samples/sec accuracy=11.020833 loss=4.462837 lr=0.015794 Epoch[005] Batch [0349]/[3759] Speed: 119.302030 samples/sec accuracy=10.924107 loss=4.462840 lr=0.015832 Epoch[005] Batch [0399]/[3759] Speed: 118.493745 samples/sec accuracy=11.027344 loss=4.460312 lr=0.015871 Epoch[005] Batch [0449]/[3759] Speed: 119.463557 samples/sec accuracy=11.128472 loss=4.456963 lr=0.015910 Epoch[005] Batch [0499]/[3759] Speed: 118.661056 samples/sec accuracy=11.243750 loss=4.449364 lr=0.015949 Epoch[005] Batch [0549]/[3759] Speed: 118.430520 samples/sec accuracy=11.372159 loss=4.443268 lr=0.015987 Epoch[005] Batch [0599]/[3759] Speed: 118.450082 samples/sec accuracy=11.395833 loss=4.441205 lr=0.016026 Epoch[005] Batch [0649]/[3759] Speed: 119.577035 samples/sec accuracy=11.353365 loss=4.439262 lr=0.016065 Epoch[005] Batch [0699]/[3759] Speed: 118.484468 samples/sec accuracy=11.357143 loss=4.442509 lr=0.016103 Epoch[005] Batch [0749]/[3759] Speed: 119.529974 samples/sec accuracy=11.389583 loss=4.437635 lr=0.016142 Epoch[005] Batch [0799]/[3759] Speed: 119.302223 samples/sec accuracy=11.429688 loss=4.436392 lr=0.016181 Epoch[005] Batch [0849]/[3759] Speed: 119.449855 samples/sec accuracy=11.411765 loss=4.435865 lr=0.016220 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accuracy=11.749432 loss=4.408257 lr=0.017691 Epoch[005] Batch [2799]/[3759] Speed: 118.684352 samples/sec accuracy=11.772321 loss=4.406237 lr=0.017730 Epoch[005] Batch [2849]/[3759] Speed: 119.611950 samples/sec accuracy=11.776316 loss=4.405436 lr=0.017769 Epoch[005] Batch [2899]/[3759] Speed: 118.704439 samples/sec accuracy=11.787177 loss=4.404587 lr=0.017808 Epoch[005] Batch [2949]/[3759] Speed: 117.874243 samples/sec accuracy=11.808263 loss=4.403848 lr=0.017846 Epoch[005] Batch [2999]/[3759] Speed: 119.150698 samples/sec accuracy=11.815104 loss=4.403164 lr=0.017885 Epoch[005] Batch [3049]/[3759] Speed: 119.180095 samples/sec accuracy=11.865266 loss=4.400539 lr=0.017924 Epoch[005] Batch [3099]/[3759] Speed: 118.799810 samples/sec accuracy=11.875000 loss=4.398996 lr=0.017963 Epoch[005] Batch [3149]/[3759] Speed: 118.317575 samples/sec accuracy=11.897321 loss=4.397055 lr=0.018001 Epoch[005] Batch [3199]/[3759] Speed: 118.462709 samples/sec accuracy=11.919922 loss=4.395291 lr=0.018040 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119.038189 samples/sec accuracy=12.070946 loss=4.380379 lr=0.018427 Epoch[005] Batch [3749]/[3759] Speed: 123.145712 samples/sec accuracy=12.084167 loss=4.378599 lr=0.018466 Batch [0049]/[0303]: acc-top1=13.250000 acc-top5=34.625000 Batch [0099]/[0303]: acc-top1=12.562500 acc-top5=32.968750 Batch [0149]/[0303]: acc-top1=13.854167 acc-top5=34.500000 Batch [0199]/[0303]: acc-top1=15.164062 acc-top5=35.210938 Batch [0249]/[0303]: acc-top1=15.112500 acc-top5=35.925000 Batch [0299]/[0303]: acc-top1=14.713542 acc-top5=35.687500 [Epoch 005] training: accuracy=12.089319 loss=4.378115 [Epoch 005] speed: 118 samples/sec time cost: 2149.877059 [Epoch 005] validation: acc-top1=14.789604 acc-top5=35.741543 loss=4.121193 Epoch[006] Batch [0049]/[3760] Speed: 87.002844 samples/sec accuracy=13.875000 loss=4.228092 lr=0.018512 Epoch[006] Batch [0099]/[3760] Speed: 119.092645 samples/sec accuracy=13.640625 loss=4.229997 lr=0.018551 Epoch[006] Batch [0149]/[3760] Speed: 119.921671 samples/sec accuracy=13.541667 loss=4.240470 lr=0.018589 Epoch[006] Batch [0199]/[3760] Speed: 119.328637 samples/sec accuracy=13.640625 loss=4.236480 lr=0.018628 Epoch[006] Batch [0249]/[3760] Speed: 118.911209 samples/sec accuracy=13.700000 loss=4.230733 lr=0.018667 Epoch[006] Batch [0299]/[3760] Speed: 119.307468 samples/sec accuracy=13.718750 loss=4.228445 lr=0.018705 Epoch[006] Batch [0349]/[3760] Speed: 119.162567 samples/sec accuracy=13.714286 loss=4.230221 lr=0.018744 Epoch[006] Batch [0399]/[3760] Speed: 118.332765 samples/sec accuracy=13.839844 loss=4.227335 lr=0.018783 Epoch[006] Batch [0449]/[3760] Speed: 118.839174 samples/sec accuracy=13.899306 loss=4.226946 lr=0.018822 Epoch[006] Batch [0499]/[3760] Speed: 118.775160 samples/sec accuracy=13.928125 loss=4.227075 lr=0.018860 Epoch[006] Batch [0549]/[3760] Speed: 119.738040 samples/sec accuracy=13.872159 loss=4.230970 lr=0.018899 Epoch[006] Batch [0599]/[3760] Speed: 118.737689 samples/sec accuracy=13.960938 loss=4.227515 lr=0.018938 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loss=4.195187 lr=0.019674 Epoch[006] Batch [1599]/[3760] Speed: 118.668100 samples/sec accuracy=14.393555 loss=4.193693 lr=0.019712 Epoch[006] Batch [1649]/[3760] Speed: 118.621618 samples/sec accuracy=14.397727 loss=4.193548 lr=0.019751 Epoch[006] Batch [1699]/[3760] Speed: 118.493482 samples/sec accuracy=14.434743 loss=4.191393 lr=0.019790 Epoch[006] Batch [1749]/[3760] Speed: 118.751580 samples/sec accuracy=14.452679 loss=4.190294 lr=0.019829 Epoch[006] Batch [1799]/[3760] Speed: 118.310164 samples/sec accuracy=14.457465 loss=4.188588 lr=0.019867 Epoch[006] Batch [1849]/[3760] Speed: 118.428751 samples/sec accuracy=14.480574 loss=4.187718 lr=0.019906 Epoch[006] Batch [1899]/[3760] Speed: 119.475802 samples/sec accuracy=14.501645 loss=4.187060 lr=0.019945 Epoch[006] Batch [1949]/[3760] Speed: 119.123008 samples/sec accuracy=14.498397 loss=4.187141 lr=0.019984 Epoch[006] Batch [1999]/[3760] Speed: 119.010283 samples/sec accuracy=14.527344 loss=4.185410 lr=0.020022 Epoch[006] Batch 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accuracy=14.680625 loss=4.174255 lr=0.020410 Epoch[006] Batch [2549]/[3760] Speed: 119.719525 samples/sec accuracy=14.691789 loss=4.172717 lr=0.020448 Epoch[006] Batch [2599]/[3760] Speed: 119.402517 samples/sec accuracy=14.697115 loss=4.171429 lr=0.020487 Epoch[006] Batch [2649]/[3760] Speed: 118.064520 samples/sec accuracy=14.714623 loss=4.170349 lr=0.020526 Epoch[006] Batch [2699]/[3760] Speed: 119.457814 samples/sec accuracy=14.719907 loss=4.169363 lr=0.020565 Epoch[006] Batch [2749]/[3760] Speed: 118.891836 samples/sec accuracy=14.728977 loss=4.168588 lr=0.020603 Epoch[006] Batch [2799]/[3760] Speed: 118.723033 samples/sec accuracy=14.758371 loss=4.166970 lr=0.020642 Epoch[006] Batch [2849]/[3760] Speed: 118.482692 samples/sec accuracy=14.785088 loss=4.164913 lr=0.020681 Epoch[006] Batch [2899]/[3760] Speed: 118.900623 samples/sec accuracy=14.799569 loss=4.163983 lr=0.020719 Epoch[006] Batch [2949]/[3760] Speed: 119.789084 samples/sec accuracy=14.803496 loss=4.163062 lr=0.020758 Epoch[006] Batch [2999]/[3760] Speed: 118.421044 samples/sec accuracy=14.815104 loss=4.161240 lr=0.020797 Epoch[006] Batch [3049]/[3760] Speed: 119.563294 samples/sec accuracy=14.832480 loss=4.160019 lr=0.020836 Epoch[006] Batch [3099]/[3760] Speed: 118.848563 samples/sec accuracy=14.868448 loss=4.158187 lr=0.020874 Epoch[006] Batch [3149]/[3760] Speed: 118.631731 samples/sec accuracy=14.898810 loss=4.156853 lr=0.020913 Epoch[006] Batch [3199]/[3760] Speed: 117.731262 samples/sec accuracy=14.891113 loss=4.155703 lr=0.020952 Epoch[006] Batch [3249]/[3760] Speed: 118.909431 samples/sec accuracy=14.903365 loss=4.154227 lr=0.020991 Epoch[006] Batch [3299]/[3760] Speed: 119.329112 samples/sec accuracy=14.909564 loss=4.153321 lr=0.021029 Epoch[006] Batch [3349]/[3760] Speed: 118.496594 samples/sec accuracy=14.905317 loss=4.152348 lr=0.021068 Epoch[006] Batch [3399]/[3760] Speed: 118.450982 samples/sec accuracy=14.931066 loss=4.150761 lr=0.021107 Epoch[006] Batch [3449]/[3760] Speed: 119.260230 samples/sec accuracy=14.951993 loss=4.149208 lr=0.021145 Epoch[006] Batch [3499]/[3760] Speed: 118.676974 samples/sec accuracy=14.968304 loss=4.148044 lr=0.021184 Epoch[006] Batch [3549]/[3760] Speed: 119.004135 samples/sec accuracy=14.978433 loss=4.146469 lr=0.021223 Epoch[006] Batch [3599]/[3760] Speed: 119.419031 samples/sec accuracy=14.986979 loss=4.145404 lr=0.021262 Epoch[006] Batch [3649]/[3760] Speed: 117.876437 samples/sec accuracy=14.996147 loss=4.144623 lr=0.021300 Epoch[006] Batch [3699]/[3760] Speed: 118.882626 samples/sec accuracy=14.999155 loss=4.143686 lr=0.021339 Epoch[006] Batch [3749]/[3760] Speed: 123.049381 samples/sec accuracy=15.001667 loss=4.142457 lr=0.021378 Batch [0049]/[0303]: acc-top1=14.156250 acc-top5=39.843750 Batch [0099]/[0303]: acc-top1=13.812500 acc-top5=37.062500 Batch [0149]/[0303]: acc-top1=15.562500 acc-top5=38.760417 Batch [0199]/[0303]: acc-top1=17.281250 acc-top5=40.632812 Batch [0249]/[0303]: acc-top1=17.043750 acc-top5=40.268750 Batch [0299]/[0303]: acc-top1=16.953125 acc-top5=40.562500 [Epoch 006] training: accuracy=15.009558 loss=4.142001 [Epoch 006] speed: 118 samples/sec time cost: 2152.949376 [Epoch 006] validation: acc-top1=17.001856 acc-top5=40.604373 loss=3.920271 Epoch[007] Batch [0049]/[3760] Speed: 88.161743 samples/sec accuracy=17.156250 loss=4.046811 lr=0.021424 Epoch[007] Batch [0099]/[3760] Speed: 119.487059 samples/sec accuracy=16.843750 loss=4.044088 lr=0.021463 Epoch[007] Batch [0149]/[3760] Speed: 119.619612 samples/sec accuracy=16.937500 loss=4.024283 lr=0.021502 Epoch[007] Batch [0199]/[3760] Speed: 119.376470 samples/sec accuracy=16.898438 loss=4.024801 lr=0.021541 Epoch[007] Batch [0249]/[3760] Speed: 118.174525 samples/sec accuracy=16.862500 loss=4.022321 lr=0.021579 Epoch[007] Batch [0299]/[3760] Speed: 119.294601 samples/sec accuracy=16.807292 loss=4.015523 lr=0.021618 Epoch[007] Batch [0349]/[3760] Speed: 119.023824 samples/sec accuracy=16.745536 loss=4.019366 lr=0.021657 Epoch[007] 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accuracy=16.972222 loss=3.989879 lr=0.023129 Epoch[007] Batch [2299]/[3760] Speed: 117.645256 samples/sec accuracy=16.992527 loss=3.988715 lr=0.023167 Epoch[007] Batch [2349]/[3760] Speed: 118.897532 samples/sec accuracy=17.019947 loss=3.987031 lr=0.023206 Epoch[007] Batch [2399]/[3760] Speed: 118.840578 samples/sec accuracy=17.041016 loss=3.986036 lr=0.023245 Epoch[007] Batch [2449]/[3760] Speed: 118.172399 samples/sec accuracy=17.076531 loss=3.984919 lr=0.023283 Epoch[007] Batch [2499]/[3760] Speed: 118.694452 samples/sec accuracy=17.095000 loss=3.984148 lr=0.023322 Epoch[007] Batch [2549]/[3760] Speed: 117.612383 samples/sec accuracy=17.128064 loss=3.982722 lr=0.023361 Epoch[007] Batch [2599]/[3760] Speed: 118.852593 samples/sec accuracy=17.149639 loss=3.981551 lr=0.023400 Epoch[007] Batch [2649]/[3760] Speed: 118.654265 samples/sec accuracy=17.156250 loss=3.980678 lr=0.023438 Epoch[007] Batch [2699]/[3760] Speed: 119.164644 samples/sec accuracy=17.158565 loss=3.979676 lr=0.023477 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loss=3.963142 lr=0.024213 Epoch[007] Batch [3699]/[3760] Speed: 118.618151 samples/sec accuracy=17.418919 loss=3.962851 lr=0.024252 Epoch[007] Batch [3749]/[3760] Speed: 123.609113 samples/sec accuracy=17.438333 loss=3.961716 lr=0.024290 Batch [0049]/[0303]: acc-top1=16.968750 acc-top5=42.187500 Batch [0099]/[0303]: acc-top1=17.046875 acc-top5=39.953125 Batch [0149]/[0303]: acc-top1=17.708333 acc-top5=41.125000 Batch [0199]/[0303]: acc-top1=19.281250 acc-top5=42.906250 Batch [0249]/[0303]: acc-top1=19.356250 acc-top5=42.818750 Batch [0299]/[0303]: acc-top1=18.859375 acc-top5=42.817708 [Epoch 007] training: accuracy=17.450549 loss=3.961055 [Epoch 007] speed: 118 samples/sec time cost: 2152.545516 [Epoch 007] validation: acc-top1=18.920173 acc-top5=42.940388 loss=3.887637 Epoch[008] Batch [0049]/[3759] Speed: 88.704546 samples/sec accuracy=18.093750 loss=3.873656 lr=0.024337 Epoch[008] Batch [0099]/[3759] Speed: 118.751477 samples/sec accuracy=18.546875 loss=3.867308 lr=0.024376 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accuracy=19.417969 loss=3.834323 lr=0.025847 Epoch[008] Batch [2049]/[3759] Speed: 119.452337 samples/sec accuracy=19.433689 loss=3.833264 lr=0.025886 Epoch[008] Batch [2099]/[3759] Speed: 117.865000 samples/sec accuracy=19.417411 loss=3.833319 lr=0.025925 Epoch[008] Batch [2149]/[3759] Speed: 119.161082 samples/sec accuracy=19.417151 loss=3.831879 lr=0.025964 Epoch[008] Batch [2199]/[3759] Speed: 119.492480 samples/sec accuracy=19.436080 loss=3.830316 lr=0.026002 Epoch[008] Batch [2249]/[3759] Speed: 118.939190 samples/sec accuracy=19.423611 loss=3.830376 lr=0.026041 Epoch[008] Batch [2299]/[3759] Speed: 118.858266 samples/sec accuracy=19.459918 loss=3.827849 lr=0.026080 Epoch[008] Batch [2349]/[3759] Speed: 119.409239 samples/sec accuracy=19.478059 loss=3.826635 lr=0.026119 Epoch[008] Batch [2399]/[3759] Speed: 118.401896 samples/sec accuracy=19.475260 loss=3.826142 lr=0.026157 Epoch[008] Batch [2449]/[3759] Speed: 119.538634 samples/sec accuracy=19.485332 loss=3.825068 lr=0.026196 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loss=3.806686 lr=0.026932 Epoch[008] Batch [3449]/[3759] Speed: 118.575231 samples/sec accuracy=19.716033 loss=3.806080 lr=0.026971 Epoch[008] Batch [3499]/[3759] Speed: 119.313408 samples/sec accuracy=19.725446 loss=3.805612 lr=0.027009 Epoch[008] Batch [3549]/[3759] Speed: 118.790193 samples/sec accuracy=19.748239 loss=3.804573 lr=0.027048 Epoch[008] Batch [3599]/[3759] Speed: 119.669604 samples/sec accuracy=19.771267 loss=3.803984 lr=0.027087 Epoch[008] Batch [3649]/[3759] Speed: 119.650353 samples/sec accuracy=19.786387 loss=3.803250 lr=0.027126 Epoch[008] Batch [3699]/[3759] Speed: 119.018498 samples/sec accuracy=19.804054 loss=3.802242 lr=0.027164 Epoch[008] Batch [3749]/[3759] Speed: 122.578269 samples/sec accuracy=19.811667 loss=3.801438 lr=0.027203 Batch [0049]/[0303]: acc-top1=20.125000 acc-top5=45.031250 Batch [0099]/[0303]: acc-top1=19.453125 acc-top5=43.437500 Batch [0149]/[0303]: acc-top1=20.260417 acc-top5=44.885417 Batch [0199]/[0303]: acc-top1=21.726562 acc-top5=46.000000 Batch [0249]/[0303]: acc-top1=21.356250 acc-top5=46.150000 Batch [0299]/[0303]: acc-top1=21.546875 acc-top5=46.588542 [Epoch 008] training: accuracy=19.807878 loss=3.801531 [Epoch 008] speed: 118 samples/sec time cost: 2147.927504 [Epoch 008] validation: acc-top1=21.565594 acc-top5=46.534653 loss=3.682197 Epoch[009] Batch [0049]/[3760] Speed: 88.453447 samples/sec accuracy=21.687500 loss=3.673792 lr=0.027249 Epoch[009] Batch [0099]/[3760] Speed: 119.843947 samples/sec accuracy=21.046875 loss=3.703798 lr=0.027287 Epoch[009] Batch [0149]/[3760] Speed: 119.867605 samples/sec accuracy=20.791667 loss=3.722021 lr=0.027326 Epoch[009] Batch [0199]/[3760] Speed: 119.717620 samples/sec accuracy=20.804688 loss=3.727888 lr=0.027365 Epoch[009] Batch [0249]/[3760] Speed: 119.919672 samples/sec accuracy=20.562500 loss=3.725645 lr=0.027404 Epoch[009] Batch [0299]/[3760] Speed: 119.755663 samples/sec accuracy=20.677083 loss=3.723202 lr=0.027442 Epoch[009] Batch [0349]/[3760] Speed: 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accuracy=21.624107 loss=3.690803 lr=0.028566 Epoch[009] Batch [1799]/[3760] Speed: 118.815127 samples/sec accuracy=21.638021 loss=3.689852 lr=0.028604 Epoch[009] Batch [1849]/[3760] Speed: 118.675941 samples/sec accuracy=21.618243 loss=3.688856 lr=0.028643 Epoch[009] Batch [1899]/[3760] Speed: 119.372281 samples/sec accuracy=21.650493 loss=3.687021 lr=0.028682 Epoch[009] Batch [1949]/[3760] Speed: 118.887697 samples/sec accuracy=21.653846 loss=3.686251 lr=0.028720 Epoch[009] Batch [1999]/[3760] Speed: 118.692392 samples/sec accuracy=21.670313 loss=3.686013 lr=0.028759 Epoch[009] Batch [2049]/[3760] Speed: 118.878007 samples/sec accuracy=21.688262 loss=3.684380 lr=0.028798 Epoch[009] Batch [2099]/[3760] Speed: 120.038339 samples/sec accuracy=21.700893 loss=3.683468 lr=0.028837 Epoch[009] Batch [2149]/[3760] Speed: 119.551634 samples/sec accuracy=21.723110 loss=3.682995 lr=0.028875 Epoch[009] Batch [2199]/[3760] Speed: 118.142307 samples/sec accuracy=21.726562 loss=3.681538 lr=0.028914 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[3649]/[3760] Speed: 118.813063 samples/sec accuracy=21.992723 loss=3.662686 lr=0.030037 Epoch[009] Batch [3699]/[3760] Speed: 119.537523 samples/sec accuracy=21.987331 loss=3.662259 lr=0.030076 Epoch[009] Batch [3749]/[3760] Speed: 123.668812 samples/sec accuracy=21.990000 loss=3.661927 lr=0.030115 Batch [0049]/[0303]: acc-top1=21.375000 acc-top5=48.875000 Batch [0099]/[0303]: acc-top1=21.000000 acc-top5=45.859375 Batch [0149]/[0303]: acc-top1=22.427083 acc-top5=47.062500 Batch [0199]/[0303]: acc-top1=24.625000 acc-top5=49.289062 Batch [0249]/[0303]: acc-top1=24.425000 acc-top5=49.287500 Batch [0299]/[0303]: acc-top1=23.921875 acc-top5=49.317708 [Epoch 009] training: accuracy=21.983045 loss=3.662155 [Epoch 009] speed: 118 samples/sec time cost: 2148.594617 [Epoch 009] validation: acc-top1=23.963490 acc-top5=49.376031 loss=3.511438 Epoch[010] Batch [0049]/[3760] Speed: 87.972289 samples/sec accuracy=24.062500 loss=3.514990 lr=0.030161 Epoch[010] Batch [0099]/[3760] Speed: 119.360134 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accuracy=23.379167 loss=3.568952 lr=0.031284 Epoch[010] Batch [1549]/[3760] Speed: 119.232132 samples/sec accuracy=23.382056 loss=3.567766 lr=0.031323 Epoch[010] Batch [1599]/[3760] Speed: 120.040320 samples/sec accuracy=23.394531 loss=3.565504 lr=0.031362 Epoch[010] Batch [1649]/[3760] Speed: 118.752614 samples/sec accuracy=23.410985 loss=3.565781 lr=0.031401 Epoch[010] Batch [1699]/[3760] Speed: 118.671592 samples/sec accuracy=23.408088 loss=3.566625 lr=0.031439 Epoch[010] Batch [1749]/[3760] Speed: 118.654570 samples/sec accuracy=23.400893 loss=3.566518 lr=0.031478 Epoch[010] Batch [1799]/[3760] Speed: 119.633056 samples/sec accuracy=23.387153 loss=3.566339 lr=0.031517 Epoch[010] Batch [1849]/[3760] Speed: 118.281601 samples/sec accuracy=23.392736 loss=3.566877 lr=0.031556 Epoch[010] Batch [1899]/[3760] Speed: 120.220251 samples/sec accuracy=23.439967 loss=3.565934 lr=0.031594 Epoch[010] Batch [1949]/[3760] Speed: 118.277440 samples/sec accuracy=23.410256 loss=3.567156 lr=0.031633 Epoch[010] Batch [1999]/[3760] Speed: 118.926026 samples/sec accuracy=23.433594 loss=3.565402 lr=0.031672 Epoch[010] Batch [2049]/[3760] Speed: 118.790838 samples/sec accuracy=23.425305 loss=3.566214 lr=0.031710 Epoch[010] Batch [2099]/[3760] Speed: 119.433529 samples/sec accuracy=23.430804 loss=3.565442 lr=0.031749 Epoch[010] Batch [2149]/[3760] Speed: 118.024816 samples/sec accuracy=23.439680 loss=3.565477 lr=0.031788 Epoch[010] Batch [2199]/[3760] Speed: 119.089720 samples/sec accuracy=23.446023 loss=3.565170 lr=0.031827 Epoch[010] Batch [2249]/[3760] Speed: 118.897453 samples/sec accuracy=23.456250 loss=3.564943 lr=0.031865 Epoch[010] Batch [2299]/[3760] Speed: 119.159679 samples/sec accuracy=23.464674 loss=3.563751 lr=0.031904 Epoch[010] Batch [2349]/[3760] Speed: 118.732992 samples/sec accuracy=23.484707 loss=3.563457 lr=0.031943 Epoch[010] Batch [2399]/[3760] Speed: 119.199250 samples/sec accuracy=23.492839 loss=3.562394 lr=0.031982 Epoch[010] Batch [2449]/[3760] Speed: 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loss=3.557556 lr=0.032369 Epoch[010] Batch [2949]/[3760] Speed: 119.339272 samples/sec accuracy=23.570975 loss=3.557508 lr=0.032408 Epoch[010] Batch [2999]/[3760] Speed: 118.559776 samples/sec accuracy=23.589583 loss=3.556193 lr=0.032446 Epoch[010] Batch [3049]/[3760] Speed: 119.439787 samples/sec accuracy=23.577869 loss=3.556269 lr=0.032485 Epoch[010] Batch [3099]/[3760] Speed: 118.592340 samples/sec accuracy=23.594254 loss=3.555206 lr=0.032524 Epoch[010] Batch [3149]/[3760] Speed: 118.535338 samples/sec accuracy=23.607143 loss=3.554620 lr=0.032563 Epoch[010] Batch [3199]/[3760] Speed: 119.225888 samples/sec accuracy=23.631348 loss=3.553897 lr=0.032601 Epoch[010] Batch [3249]/[3760] Speed: 119.214196 samples/sec accuracy=23.642788 loss=3.554222 lr=0.032640 Epoch[010] Batch [3299]/[3760] Speed: 118.906100 samples/sec accuracy=23.646780 loss=3.553665 lr=0.032679 Epoch[010] Batch [3349]/[3760] Speed: 118.591923 samples/sec accuracy=23.659981 loss=3.553373 lr=0.032717 Epoch[010] Batch [3399]/[3760] Speed: 119.200650 samples/sec accuracy=23.653952 loss=3.553913 lr=0.032756 Epoch[010] Batch [3449]/[3760] Speed: 118.565619 samples/sec accuracy=23.671649 loss=3.553363 lr=0.032795 Epoch[010] Batch [3499]/[3760] Speed: 119.342681 samples/sec accuracy=23.654464 loss=3.553472 lr=0.032834 Epoch[010] Batch [3549]/[3760] Speed: 119.227485 samples/sec accuracy=23.683979 loss=3.552294 lr=0.032872 Epoch[010] Batch [3599]/[3760] Speed: 118.722999 samples/sec accuracy=23.692708 loss=3.552491 lr=0.032911 Epoch[010] Batch [3649]/[3760] Speed: 118.683146 samples/sec accuracy=23.723887 loss=3.551966 lr=0.032950 Epoch[010] Batch [3699]/[3760] Speed: 119.322907 samples/sec accuracy=23.736486 loss=3.551886 lr=0.032989 Epoch[010] Batch [3749]/[3760] Speed: 122.811589 samples/sec accuracy=23.744167 loss=3.551178 lr=0.033027 Batch [0049]/[0303]: acc-top1=24.593750 acc-top5=50.218750 Batch [0099]/[0303]: acc-top1=22.703125 acc-top5=47.250000 Batch [0149]/[0303]: acc-top1=24.593750 acc-top5=49.208333 Batch [0199]/[0303]: acc-top1=26.585938 acc-top5=51.500000 Batch [0249]/[0303]: acc-top1=25.781250 acc-top5=51.481250 Batch [0299]/[0303]: acc-top1=25.302083 acc-top5=51.364583 [Epoch 010] training: accuracy=23.740027 loss=3.551338 [Epoch 010] speed: 118 samples/sec time cost: 2149.990003 [Epoch 010] validation: acc-top1=25.299092 acc-top5=51.387170 loss=3.454758 Epoch[011] Batch [0049]/[3759] Speed: 88.237939 samples/sec accuracy=23.593750 loss=3.562057 lr=0.033074 Epoch[011] Batch [0099]/[3759] Speed: 119.224064 samples/sec accuracy=23.937500 loss=3.509937 lr=0.033113 Epoch[011] Batch [0149]/[3759] Speed: 120.275762 samples/sec accuracy=24.125000 loss=3.501632 lr=0.033151 Epoch[011] Batch [0199]/[3759] Speed: 118.532128 samples/sec accuracy=24.195312 loss=3.499215 lr=0.033190 Epoch[011] Batch [0249]/[3759] Speed: 119.700688 samples/sec accuracy=24.331250 loss=3.499618 lr=0.033229 Epoch[011] Batch [0299]/[3759] Speed: 118.861788 samples/sec accuracy=24.385417 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accuracy=25.027500 loss=3.473389 lr=0.034003 Epoch[011] Batch [1299]/[3759] Speed: 119.468864 samples/sec accuracy=24.996394 loss=3.471072 lr=0.034042 Epoch[011] Batch [1349]/[3759] Speed: 119.100368 samples/sec accuracy=25.037037 loss=3.470376 lr=0.034081 Epoch[011] Batch [1399]/[3759] Speed: 119.054123 samples/sec accuracy=25.066964 loss=3.470071 lr=0.034120 Epoch[011] Batch [1449]/[3759] Speed: 119.222320 samples/sec accuracy=25.081897 loss=3.470388 lr=0.034158 Epoch[011] Batch [1499]/[3759] Speed: 120.192691 samples/sec accuracy=25.129167 loss=3.468533 lr=0.034197 Epoch[011] Batch [1549]/[3759] Speed: 119.066422 samples/sec accuracy=25.104839 loss=3.469632 lr=0.034236 Epoch[011] Batch [1599]/[3759] Speed: 118.720684 samples/sec accuracy=25.147461 loss=3.469064 lr=0.034274 Epoch[011] Batch [1649]/[3759] Speed: 119.174224 samples/sec accuracy=25.176136 loss=3.468342 lr=0.034313 Epoch[011] Batch [1699]/[3759] Speed: 119.259180 samples/sec accuracy=25.218750 loss=3.466818 lr=0.034352 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accuracy=25.300347 loss=3.456877 lr=0.035824 Epoch[011] Batch [3649]/[3759] Speed: 118.308426 samples/sec accuracy=25.326627 loss=3.455855 lr=0.035862 Epoch[011] Batch [3699]/[3759] Speed: 118.861056 samples/sec accuracy=25.330236 loss=3.455134 lr=0.035901 Epoch[011] Batch [3749]/[3759] Speed: 122.933816 samples/sec accuracy=25.334583 loss=3.455089 lr=0.035940 Batch [0049]/[0303]: acc-top1=23.093750 acc-top5=48.968750 Batch [0099]/[0303]: acc-top1=23.359375 acc-top5=48.343750 Batch [0149]/[0303]: acc-top1=25.322917 acc-top5=50.145833 Batch [0199]/[0303]: acc-top1=26.976562 acc-top5=51.882812 Batch [0249]/[0303]: acc-top1=26.462500 acc-top5=51.906250 Batch [0299]/[0303]: acc-top1=25.557292 acc-top5=51.729167 [Epoch 011] training: accuracy=25.336276 loss=3.454806 [Epoch 011] speed: 118 samples/sec time cost: 2146.399975 [Epoch 011] validation: acc-top1=25.536304 acc-top5=51.706889 loss=3.505218 Epoch[012] Batch [0049]/[3760] Speed: 88.047724 samples/sec accuracy=25.031250 loss=3.415940 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accuracy=26.831623 loss=3.375911 lr=0.038542 Epoch[012] Batch [3399]/[3760] Speed: 118.698868 samples/sec accuracy=26.843750 loss=3.375047 lr=0.038581 Epoch[012] Batch [3449]/[3760] Speed: 119.491946 samples/sec accuracy=26.835598 loss=3.375803 lr=0.038619 Epoch[012] Batch [3499]/[3760] Speed: 120.472566 samples/sec accuracy=26.850446 loss=3.374983 lr=0.038658 Epoch[012] Batch [3549]/[3760] Speed: 119.390847 samples/sec accuracy=26.841549 loss=3.375017 lr=0.038697 Epoch[012] Batch [3599]/[3760] Speed: 118.596077 samples/sec accuracy=26.845486 loss=3.374731 lr=0.038735 Epoch[012] Batch [3649]/[3760] Speed: 119.199182 samples/sec accuracy=26.856164 loss=3.373494 lr=0.038774 Epoch[012] Batch [3699]/[3760] Speed: 118.284664 samples/sec accuracy=26.858530 loss=3.372855 lr=0.038813 Epoch[012] Batch [3749]/[3760] Speed: 122.547937 samples/sec accuracy=26.863333 loss=3.372369 lr=0.038852 Batch [0049]/[0303]: acc-top1=29.218750 acc-top5=56.875000 Batch [0099]/[0303]: acc-top1=26.156250 acc-top5=52.125000 Batch [0149]/[0303]: acc-top1=27.687500 acc-top5=53.395833 Batch [0199]/[0303]: acc-top1=29.578125 acc-top5=55.460937 Batch [0249]/[0303]: acc-top1=29.256250 acc-top5=55.556250 Batch [0299]/[0303]: acc-top1=28.447917 acc-top5=55.609375 [Epoch 012] training: accuracy=26.864611 loss=3.372253 [Epoch 012] speed: 118 samples/sec time cost: 2147.561473 [Epoch 012] validation: acc-top1=28.429249 acc-top5=55.626031 loss=3.265909 Epoch[013] Batch [0049]/[3760] Speed: 87.794679 samples/sec accuracy=27.281250 loss=3.346954 lr=0.038898 Epoch[013] Batch [0099]/[3760] Speed: 119.912988 samples/sec accuracy=26.531250 loss=3.371403 lr=0.038937 Epoch[013] Batch [0149]/[3760] Speed: 119.561705 samples/sec accuracy=27.000000 loss=3.357802 lr=0.038976 Epoch[013] Batch [0199]/[3760] Speed: 119.573408 samples/sec accuracy=26.953125 loss=3.359274 lr=0.039014 Epoch[013] Batch [0249]/[3760] Speed: 119.657179 samples/sec accuracy=26.781250 loss=3.360707 lr=0.039053 Epoch[013] Batch 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accuracy=27.481250 loss=3.328028 lr=0.039440 Epoch[013] Batch [0799]/[3760] Speed: 119.814948 samples/sec accuracy=27.519531 loss=3.324019 lr=0.039479 Epoch[013] Batch [0849]/[3760] Speed: 119.096807 samples/sec accuracy=27.527574 loss=3.325352 lr=0.039518 Epoch[013] Batch [0899]/[3760] Speed: 118.337572 samples/sec accuracy=27.579861 loss=3.325889 lr=0.039557 Epoch[013] Batch [0949]/[3760] Speed: 119.248514 samples/sec accuracy=27.626645 loss=3.325284 lr=0.039595 Epoch[013] Batch [0999]/[3760] Speed: 119.712273 samples/sec accuracy=27.653125 loss=3.324133 lr=0.039634 Epoch[013] Batch [1049]/[3760] Speed: 119.317549 samples/sec accuracy=27.630952 loss=3.323496 lr=0.039673 Epoch[013] Batch [1099]/[3760] Speed: 119.421404 samples/sec accuracy=27.616477 loss=3.324622 lr=0.039712 Epoch[013] Batch [1149]/[3760] Speed: 119.265764 samples/sec accuracy=27.629076 loss=3.326010 lr=0.039750 Epoch[013] Batch [1199]/[3760] Speed: 118.636130 samples/sec accuracy=27.598958 loss=3.327416 lr=0.039789 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Epoch[013] Batch [3599]/[3760] Speed: 118.845329 samples/sec accuracy=27.909288 loss=3.311101 lr=0.041648 Epoch[013] Batch [3649]/[3760] Speed: 118.624486 samples/sec accuracy=27.928510 loss=3.310341 lr=0.041687 Epoch[013] Batch [3699]/[3760] Speed: 119.745380 samples/sec accuracy=27.950591 loss=3.310039 lr=0.041726 Epoch[013] Batch [3749]/[3760] Speed: 123.525244 samples/sec accuracy=27.937917 loss=3.310647 lr=0.041764 Batch [0049]/[0303]: acc-top1=31.031250 acc-top5=57.031250 Batch [0099]/[0303]: acc-top1=27.968750 acc-top5=54.312500 Batch [0149]/[0303]: acc-top1=29.645833 acc-top5=55.770833 Batch [0199]/[0303]: acc-top1=31.843750 acc-top5=57.976562 Batch [0249]/[0303]: acc-top1=31.181250 acc-top5=57.512500 Batch [0299]/[0303]: acc-top1=30.291667 acc-top5=57.182292 [Epoch 013] training: accuracy=27.943816 loss=3.310654 [Epoch 013] speed: 118 samples/sec time cost: 2146.307950 [Epoch 013] validation: acc-top1=30.270215 acc-top5=57.126650 loss=3.184516 Epoch[014] Batch [0049]/[3759] 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accuracy=28.879386 loss=3.257498 lr=0.043980 Epoch[014] Batch [2899]/[3759] Speed: 118.740257 samples/sec accuracy=28.869612 loss=3.259012 lr=0.044018 Epoch[014] Batch [2949]/[3759] Speed: 118.534196 samples/sec accuracy=28.867585 loss=3.259745 lr=0.044057 Epoch[014] Batch [2999]/[3759] Speed: 118.729768 samples/sec accuracy=28.871875 loss=3.258912 lr=0.044096 Epoch[014] Batch [3049]/[3759] Speed: 118.936596 samples/sec accuracy=28.865266 loss=3.259104 lr=0.044135 Epoch[014] Batch [3099]/[3759] Speed: 118.263486 samples/sec accuracy=28.844758 loss=3.259858 lr=0.044173 Epoch[014] Batch [3149]/[3759] Speed: 119.350490 samples/sec accuracy=28.831349 loss=3.259478 lr=0.044212 Epoch[014] Batch [3199]/[3759] Speed: 118.549260 samples/sec accuracy=28.843262 loss=3.259235 lr=0.044251 Epoch[014] Batch [3249]/[3759] Speed: 119.089317 samples/sec accuracy=28.835096 loss=3.258942 lr=0.044290 Epoch[014] Batch [3299]/[3759] Speed: 118.925606 samples/sec accuracy=28.852273 loss=3.258787 lr=0.044328 Epoch[014] Batch [3349]/[3759] Speed: 118.556033 samples/sec accuracy=28.872668 loss=3.258053 lr=0.044367 Epoch[014] Batch [3399]/[3759] Speed: 119.589303 samples/sec accuracy=28.875460 loss=3.257774 lr=0.044406 Epoch[014] Batch [3449]/[3759] Speed: 118.297322 samples/sec accuracy=28.885870 loss=3.257461 lr=0.044444 Epoch[014] Batch [3499]/[3759] Speed: 119.199035 samples/sec accuracy=28.904911 loss=3.256485 lr=0.044483 Epoch[014] Batch [3549]/[3759] Speed: 119.370152 samples/sec accuracy=28.898327 loss=3.256543 lr=0.044522 Epoch[014] Batch [3599]/[3759] Speed: 117.994918 samples/sec accuracy=28.875868 loss=3.257009 lr=0.044561 Epoch[014] Batch [3649]/[3759] Speed: 118.734755 samples/sec accuracy=28.877140 loss=3.256894 lr=0.044599 Epoch[014] Batch [3699]/[3759] Speed: 120.118861 samples/sec accuracy=28.882179 loss=3.257009 lr=0.044638 Epoch[014] Batch [3749]/[3759] Speed: 122.933370 samples/sec accuracy=28.899583 loss=3.255755 lr=0.044677 Batch [0049]/[0303]: acc-top1=31.937500 acc-top5=57.687500 Batch [0099]/[0303]: acc-top1=29.765625 acc-top5=55.656250 Batch [0149]/[0303]: acc-top1=31.093750 acc-top5=57.312500 Batch [0199]/[0303]: acc-top1=32.976562 acc-top5=58.953125 Batch [0249]/[0303]: acc-top1=32.075000 acc-top5=58.518750 Batch [0299]/[0303]: acc-top1=31.296875 acc-top5=58.588542 [Epoch 014] training: accuracy=28.896066 loss=3.255837 [Epoch 014] speed: 118 samples/sec time cost: 2147.824936 [Epoch 014] validation: acc-top1=31.250000 acc-top5=58.565388 loss=3.118860 Epoch[015] Batch [0049]/[3760] Speed: 89.380039 samples/sec accuracy=31.718750 loss=3.154441 lr=0.044723 Epoch[015] Batch [0099]/[3760] Speed: 120.080321 samples/sec accuracy=30.031250 loss=3.200394 lr=0.044761 Epoch[015] Batch [0149]/[3760] Speed: 119.240881 samples/sec accuracy=29.885417 loss=3.209401 lr=0.044800 Epoch[015] Batch [0199]/[3760] Speed: 119.427752 samples/sec accuracy=29.640625 loss=3.209375 lr=0.044839 Epoch[015] Batch [0249]/[3760] Speed: 119.962655 samples/sec 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accuracy=29.667668 loss=3.216409 lr=0.046698 Epoch[015] Batch [2649]/[3760] Speed: 119.906765 samples/sec accuracy=29.636203 loss=3.218195 lr=0.046737 Epoch[015] Batch [2699]/[3760] Speed: 119.600886 samples/sec accuracy=29.626157 loss=3.217904 lr=0.046775 Epoch[015] Batch [2749]/[3760] Speed: 118.708111 samples/sec accuracy=29.626136 loss=3.218388 lr=0.046814 Epoch[015] Batch [2799]/[3760] Speed: 119.869314 samples/sec accuracy=29.608259 loss=3.218261 lr=0.046853 Epoch[015] Batch [2849]/[3760] Speed: 118.944330 samples/sec accuracy=29.606908 loss=3.218139 lr=0.046891 Epoch[015] Batch [2899]/[3760] Speed: 118.870816 samples/sec accuracy=29.610991 loss=3.217930 lr=0.046930 Epoch[015] Batch [2949]/[3760] Speed: 119.533751 samples/sec accuracy=29.616525 loss=3.218470 lr=0.046969 Epoch[015] Batch [2999]/[3760] Speed: 119.526963 samples/sec accuracy=29.614062 loss=3.218926 lr=0.047008 Epoch[015] Batch [3049]/[3760] Speed: 118.500774 samples/sec accuracy=29.593238 loss=3.219517 lr=0.047046 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119.583302 samples/sec accuracy=29.575704 loss=3.218192 lr=0.047434 Epoch[015] Batch [3599]/[3760] Speed: 119.093113 samples/sec accuracy=29.566406 loss=3.217930 lr=0.047472 Epoch[015] Batch [3649]/[3760] Speed: 119.330901 samples/sec accuracy=29.574058 loss=3.217865 lr=0.047511 Epoch[015] Batch [3699]/[3760] Speed: 120.061817 samples/sec accuracy=29.577280 loss=3.217469 lr=0.047550 Epoch[015] Batch [3749]/[3760] Speed: 123.282143 samples/sec accuracy=29.572917 loss=3.217592 lr=0.047589 Batch [0049]/[0303]: acc-top1=30.968750 acc-top5=55.062500 Batch [0099]/[0303]: acc-top1=27.765625 acc-top5=52.546875 Batch [0149]/[0303]: acc-top1=29.677083 acc-top5=54.604167 Batch [0199]/[0303]: acc-top1=31.710938 acc-top5=56.625000 Batch [0249]/[0303]: acc-top1=30.493750 acc-top5=56.225000 Batch [0299]/[0303]: acc-top1=29.916667 acc-top5=56.328125 [Epoch 015] training: accuracy=29.573221 loss=3.217758 [Epoch 015] speed: 118 samples/sec time cost: 2142.216716 [Epoch 015] validation: acc-top1=29.873144 acc-top5=56.301568 loss=3.298670 Epoch[016] Batch [0049]/[3760] Speed: 88.099709 samples/sec accuracy=30.781250 loss=3.151870 lr=0.047635 Epoch[016] Batch [0099]/[3760] Speed: 119.366813 samples/sec accuracy=30.953125 loss=3.161701 lr=0.047674 Epoch[016] Batch [0149]/[3760] Speed: 119.377709 samples/sec accuracy=30.166667 loss=3.182778 lr=0.047713 Epoch[016] Batch [0199]/[3760] Speed: 119.449409 samples/sec accuracy=30.398437 loss=3.180915 lr=0.047751 Epoch[016] Batch [0249]/[3760] Speed: 118.913735 samples/sec accuracy=30.418750 loss=3.173166 lr=0.047790 Epoch[016] Batch [0299]/[3760] Speed: 119.681225 samples/sec accuracy=30.328125 loss=3.170545 lr=0.047829 Epoch[016] Batch [0349]/[3760] Speed: 118.383778 samples/sec accuracy=30.366071 loss=3.165715 lr=0.047867 Epoch[016] Batch [0399]/[3760] Speed: 119.587555 samples/sec accuracy=30.390625 loss=3.165396 lr=0.047906 Epoch[016] Batch [0449]/[3760] Speed: 118.838700 samples/sec accuracy=30.541667 loss=3.160550 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accuracy=30.213170 loss=3.174261 lr=0.048681 Epoch[016] Batch [1449]/[3760] Speed: 119.789767 samples/sec accuracy=30.192888 loss=3.175464 lr=0.048720 Epoch[016] Batch [1499]/[3760] Speed: 118.912024 samples/sec accuracy=30.163542 loss=3.175520 lr=0.048758 Epoch[016] Batch [1549]/[3760] Speed: 119.075388 samples/sec accuracy=30.164315 loss=3.176566 lr=0.048797 Epoch[016] Batch [1599]/[3760] Speed: 118.709524 samples/sec accuracy=30.119141 loss=3.178178 lr=0.048836 Epoch[016] Batch [1649]/[3760] Speed: 118.931806 samples/sec accuracy=30.099432 loss=3.179276 lr=0.048874 Epoch[016] Batch [1699]/[3760] Speed: 119.206227 samples/sec accuracy=30.106618 loss=3.178903 lr=0.048913 Epoch[016] Batch [1749]/[3760] Speed: 118.691412 samples/sec accuracy=30.127679 loss=3.179033 lr=0.048952 Epoch[016] Batch [1799]/[3760] Speed: 119.135080 samples/sec accuracy=30.151910 loss=3.178148 lr=0.048991 Epoch[016] Batch [1849]/[3760] Speed: 119.051319 samples/sec accuracy=30.141892 loss=3.178815 lr=0.049029 Epoch[016] Batch [1899]/[3760] Speed: 118.755537 samples/sec accuracy=30.120888 loss=3.178864 lr=0.049068 Epoch[016] Batch [1949]/[3760] Speed: 118.785791 samples/sec accuracy=30.149840 loss=3.178547 lr=0.049107 Epoch[016] Batch [1999]/[3760] Speed: 119.162405 samples/sec accuracy=30.121875 loss=3.180021 lr=0.049146 Epoch[016] Batch [2049]/[3760] Speed: 118.698044 samples/sec accuracy=30.108232 loss=3.180806 lr=0.049184 Epoch[016] Batch [2099]/[3760] Speed: 119.205262 samples/sec accuracy=30.096726 loss=3.182102 lr=0.049223 Epoch[016] Batch [2149]/[3760] Speed: 118.859543 samples/sec accuracy=30.094477 loss=3.181883 lr=0.049262 Epoch[016] Batch [2199]/[3760] Speed: 118.738544 samples/sec accuracy=30.119318 loss=3.180393 lr=0.049301 Epoch[016] Batch [2249]/[3760] Speed: 117.910435 samples/sec accuracy=30.134028 loss=3.180383 lr=0.049339 Epoch[016] Batch [2299]/[3760] Speed: 118.107368 samples/sec accuracy=30.144022 loss=3.179185 lr=0.049378 Epoch[016] Batch [2349]/[3760] Speed: 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loss=3.182333 lr=0.049765 Epoch[016] Batch [2849]/[3760] Speed: 119.280575 samples/sec accuracy=30.133224 loss=3.182350 lr=0.049804 Epoch[016] Batch [2899]/[3760] Speed: 118.461914 samples/sec accuracy=30.149784 loss=3.181419 lr=0.049843 Epoch[016] Batch [2949]/[3760] Speed: 118.656470 samples/sec accuracy=30.139831 loss=3.181206 lr=0.049881 Epoch[016] Batch [2999]/[3760] Speed: 119.031760 samples/sec accuracy=30.139583 loss=3.181572 lr=0.049920 Epoch[016] Batch [3049]/[3760] Speed: 119.062817 samples/sec accuracy=30.154201 loss=3.181236 lr=0.049959 Epoch[016] Batch [3099]/[3760] Speed: 119.167663 samples/sec accuracy=30.128528 loss=3.182038 lr=0.049998 Epoch[016] Batch [3149]/[3760] Speed: 118.752541 samples/sec accuracy=30.108631 loss=3.182889 lr=0.050036 Epoch[016] Batch [3199]/[3760] Speed: 118.567480 samples/sec accuracy=30.126953 loss=3.182420 lr=0.050075 Epoch[016] Batch [3249]/[3760] Speed: 119.270929 samples/sec accuracy=30.125000 loss=3.182235 lr=0.050114 Epoch[016] Batch [3299]/[3760] Speed: 118.709969 samples/sec accuracy=30.150095 loss=3.181395 lr=0.050153 Epoch[016] Batch [3349]/[3760] Speed: 118.841586 samples/sec accuracy=30.152519 loss=3.181154 lr=0.050191 Epoch[016] Batch [3399]/[3760] Speed: 118.888986 samples/sec accuracy=30.148897 loss=3.181675 lr=0.050230 Epoch[016] Batch [3449]/[3760] Speed: 118.874635 samples/sec accuracy=30.160326 loss=3.181922 lr=0.050269 Epoch[016] Batch [3499]/[3760] Speed: 119.649014 samples/sec accuracy=30.157589 loss=3.182172 lr=0.050308 Epoch[016] Batch [3549]/[3760] Speed: 118.184669 samples/sec accuracy=30.147447 loss=3.182535 lr=0.050346 Epoch[016] Batch [3599]/[3760] Speed: 119.800267 samples/sec accuracy=30.157552 loss=3.182645 lr=0.050385 Epoch[016] Batch [3649]/[3760] Speed: 119.608698 samples/sec accuracy=30.175514 loss=3.182478 lr=0.050424 Epoch[016] Batch [3699]/[3760] Speed: 119.428226 samples/sec accuracy=30.172297 loss=3.182353 lr=0.050462 Epoch[016] Batch [3749]/[3760] Speed: 123.546160 samples/sec accuracy=30.170417 loss=3.182234 lr=0.050501 Batch [0049]/[0303]: acc-top1=30.781250 acc-top5=55.718750 Batch [0099]/[0303]: acc-top1=27.546875 acc-top5=52.843750 Batch [0149]/[0303]: acc-top1=28.333333 acc-top5=53.958333 Batch [0199]/[0303]: acc-top1=31.328125 acc-top5=56.906250 Batch [0249]/[0303]: acc-top1=30.537500 acc-top5=56.587500 Batch [0299]/[0303]: acc-top1=29.703125 acc-top5=56.375000 [Epoch 016] training: accuracy=30.172457 loss=3.182056 [Epoch 016] speed: 118 samples/sec time cost: 2149.463793 [Epoch 016] validation: acc-top1=29.816419 acc-top5=56.497525 loss=3.357509 Epoch[017] Batch [0049]/[3759] Speed: 87.595871 samples/sec accuracy=30.750000 loss=3.120831 lr=0.050548 Epoch[017] Batch [0099]/[3759] Speed: 120.103827 samples/sec accuracy=29.859375 loss=3.154313 lr=0.050586 Epoch[017] Batch [0149]/[3759] Speed: 119.492745 samples/sec accuracy=30.260417 loss=3.148117 lr=0.050625 Epoch[017] Batch [0199]/[3759] Speed: 118.443628 samples/sec accuracy=30.312500 loss=3.160189 lr=0.050664 Epoch[017] Batch [0249]/[3759] Speed: 119.135511 samples/sec accuracy=30.412500 loss=3.156169 lr=0.050703 Epoch[017] Batch [0299]/[3759] Speed: 119.738398 samples/sec accuracy=30.526042 loss=3.151719 lr=0.050741 Epoch[017] Batch [0349]/[3759] Speed: 119.366190 samples/sec accuracy=30.638393 loss=3.146704 lr=0.050780 Epoch[017] Batch [0399]/[3759] Speed: 119.849819 samples/sec accuracy=30.574219 loss=3.149299 lr=0.050819 Epoch[017] Batch [0449]/[3759] Speed: 119.482283 samples/sec accuracy=30.472222 loss=3.161013 lr=0.050857 Epoch[017] Batch [0499]/[3759] Speed: 120.035508 samples/sec accuracy=30.459375 loss=3.164467 lr=0.050896 Epoch[017] Batch [0549]/[3759] Speed: 118.570676 samples/sec accuracy=30.588068 loss=3.159293 lr=0.050935 Epoch[017] Batch [0599]/[3759] Speed: 119.999829 samples/sec accuracy=30.617188 loss=3.157669 lr=0.050974 Epoch[017] Batch [0649]/[3759] Speed: 118.918724 samples/sec accuracy=30.492788 loss=3.159116 lr=0.051012 Epoch[017] Batch [0699]/[3759] 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accuracy=30.721467 loss=3.153967 lr=0.051400 Epoch[017] Batch [1199]/[3759] Speed: 119.019087 samples/sec accuracy=30.742188 loss=3.154084 lr=0.051438 Epoch[017] Batch [1249]/[3759] Speed: 118.675672 samples/sec accuracy=30.748750 loss=3.153863 lr=0.051477 Epoch[017] Batch [1299]/[3759] Speed: 119.615864 samples/sec accuracy=30.739183 loss=3.153411 lr=0.051516 Epoch[017] Batch [1349]/[3759] Speed: 119.416542 samples/sec accuracy=30.778935 loss=3.151533 lr=0.051555 Epoch[017] Batch [1399]/[3759] Speed: 119.508264 samples/sec accuracy=30.791295 loss=3.150554 lr=0.051593 Epoch[017] Batch [1449]/[3759] Speed: 119.105396 samples/sec accuracy=30.757543 loss=3.150731 lr=0.051632 Epoch[017] Batch [1499]/[3759] Speed: 119.310713 samples/sec accuracy=30.732292 loss=3.150987 lr=0.051671 Epoch[017] Batch [1549]/[3759] Speed: 119.465408 samples/sec accuracy=30.693548 loss=3.151082 lr=0.051710 Epoch[017] Batch [1599]/[3759] Speed: 118.901163 samples/sec accuracy=30.707031 loss=3.150371 lr=0.051748 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accuracy=30.602679 loss=3.161261 lr=0.053220 Epoch[017] Batch [3549]/[3759] Speed: 118.944736 samples/sec accuracy=30.608275 loss=3.161432 lr=0.053259 Epoch[017] Batch [3599]/[3759] Speed: 118.967908 samples/sec accuracy=30.607205 loss=3.162244 lr=0.053298 Epoch[017] Batch [3649]/[3759] Speed: 119.297813 samples/sec accuracy=30.595034 loss=3.162595 lr=0.053336 Epoch[017] Batch [3699]/[3759] Speed: 118.717419 samples/sec accuracy=30.589105 loss=3.162691 lr=0.053375 Epoch[017] Batch [3749]/[3759] Speed: 122.799079 samples/sec accuracy=30.591250 loss=3.163073 lr=0.053414 Batch [0049]/[0303]: acc-top1=29.218750 acc-top5=54.968750 Batch [0099]/[0303]: acc-top1=27.750000 acc-top5=53.156250 Batch [0149]/[0303]: acc-top1=28.354167 acc-top5=54.145833 Batch [0199]/[0303]: acc-top1=30.671875 acc-top5=55.992188 Batch [0249]/[0303]: acc-top1=30.031250 acc-top5=55.706250 Batch [0299]/[0303]: acc-top1=29.010417 acc-top5=55.333333 [Epoch 017] training: accuracy=30.587424 loss=3.163167 [Epoch 017] speed: 118 samples/sec time cost: 2147.275618 [Epoch 017] validation: acc-top1=29.011964 acc-top5=55.378507 loss=3.389214 Epoch[018] Batch [0049]/[3760] Speed: 87.973691 samples/sec accuracy=30.875000 loss=3.131658 lr=0.053459 Epoch[018] Batch [0099]/[3760] Speed: 119.971014 samples/sec accuracy=30.906250 loss=3.147594 lr=0.053498 Epoch[018] Batch [0149]/[3760] Speed: 119.118098 samples/sec accuracy=31.354167 loss=3.129183 lr=0.053537 Epoch[018] Batch [0199]/[3760] Speed: 119.316402 samples/sec accuracy=31.070313 loss=3.139694 lr=0.053576 Epoch[018] Batch [0249]/[3760] Speed: 119.172118 samples/sec accuracy=31.125000 loss=3.137662 lr=0.053614 Epoch[018] Batch [0299]/[3760] Speed: 119.794430 samples/sec accuracy=31.291667 loss=3.123506 lr=0.053653 Epoch[018] Batch [0349]/[3760] Speed: 118.730967 samples/sec accuracy=31.276786 loss=3.128277 lr=0.053692 Epoch[018] Batch [0399]/[3760] Speed: 119.271291 samples/sec accuracy=30.937500 loss=3.135353 lr=0.053731 Epoch[018] Batch [0449]/[3760] 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accuracy=30.876736 loss=3.139308 lr=0.054118 Epoch[018] Batch [0949]/[3760] Speed: 118.526340 samples/sec accuracy=30.886513 loss=3.136322 lr=0.054157 Epoch[018] Batch [0999]/[3760] Speed: 119.374265 samples/sec accuracy=30.935937 loss=3.134673 lr=0.054195 Epoch[018] Batch [1049]/[3760] Speed: 119.979112 samples/sec accuracy=30.919643 loss=3.134921 lr=0.054234 Epoch[018] Batch [1099]/[3760] Speed: 118.885557 samples/sec accuracy=30.943182 loss=3.134461 lr=0.054273 Epoch[018] Batch [1149]/[3760] Speed: 119.498623 samples/sec accuracy=31.019022 loss=3.131540 lr=0.054312 Epoch[018] Batch [1199]/[3760] Speed: 119.767929 samples/sec accuracy=31.040365 loss=3.130141 lr=0.054350 Epoch[018] Batch [1249]/[3760] Speed: 119.019659 samples/sec accuracy=31.007500 loss=3.131170 lr=0.054389 Epoch[018] Batch [1299]/[3760] Speed: 118.978642 samples/sec accuracy=30.987981 loss=3.133118 lr=0.054428 Epoch[018] Batch [1349]/[3760] Speed: 118.092814 samples/sec accuracy=30.969907 loss=3.135200 lr=0.054466 Epoch[018] Batch [1399]/[3760] Speed: 118.840553 samples/sec accuracy=30.975446 loss=3.134564 lr=0.054505 Epoch[018] Batch [1449]/[3760] Speed: 118.782129 samples/sec accuracy=30.965517 loss=3.135325 lr=0.054544 Epoch[018] Batch [1499]/[3760] Speed: 118.796308 samples/sec accuracy=30.948958 loss=3.135446 lr=0.054583 Epoch[018] Batch [1549]/[3760] Speed: 118.759738 samples/sec accuracy=30.930444 loss=3.137018 lr=0.054621 Epoch[018] Batch [1599]/[3760] Speed: 118.986671 samples/sec accuracy=30.926758 loss=3.136710 lr=0.054660 Epoch[018] Batch [1649]/[3760] Speed: 118.556902 samples/sec accuracy=30.903409 loss=3.137397 lr=0.054699 Epoch[018] Batch [1699]/[3760] Speed: 119.734115 samples/sec accuracy=30.921875 loss=3.138075 lr=0.054738 Epoch[018] Batch [1749]/[3760] Speed: 118.744833 samples/sec accuracy=30.903571 loss=3.137839 lr=0.054776 Epoch[018] Batch [1799]/[3760] Speed: 119.216133 samples/sec accuracy=30.899306 loss=3.137986 lr=0.054815 Epoch[018] Batch [1849]/[3760] Speed: 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loss=3.140288 lr=0.055202 Epoch[018] Batch [2349]/[3760] Speed: 118.545884 samples/sec accuracy=30.914229 loss=3.140878 lr=0.055241 Epoch[018] Batch [2399]/[3760] Speed: 119.315521 samples/sec accuracy=30.902995 loss=3.141290 lr=0.055280 Epoch[018] Batch [2449]/[3760] Speed: 119.241211 samples/sec accuracy=30.917730 loss=3.140814 lr=0.055319 Epoch[018] Batch [2499]/[3760] Speed: 119.519806 samples/sec accuracy=30.908125 loss=3.141321 lr=0.055357 Epoch[018] Batch [2549]/[3760] Speed: 119.158608 samples/sec accuracy=30.925245 loss=3.140274 lr=0.055396 Epoch[018] Batch [2599]/[3760] Speed: 119.174662 samples/sec accuracy=30.909856 loss=3.140940 lr=0.055435 Epoch[018] Batch [2649]/[3760] Speed: 118.959436 samples/sec accuracy=30.901533 loss=3.140193 lr=0.055473 Epoch[018] Batch [2699]/[3760] Speed: 119.100346 samples/sec accuracy=30.872106 loss=3.140856 lr=0.055512 Epoch[018] Batch [2749]/[3760] Speed: 119.775123 samples/sec accuracy=30.884659 loss=3.140463 lr=0.055551 Epoch[018] Batch 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accuracy=30.874519 loss=3.139803 lr=0.055938 Epoch[018] Batch [3299]/[3760] Speed: 117.802292 samples/sec accuracy=30.900568 loss=3.139124 lr=0.055977 Epoch[018] Batch [3349]/[3760] Speed: 118.786639 samples/sec accuracy=30.916978 loss=3.138336 lr=0.056016 Epoch[018] Batch [3399]/[3760] Speed: 119.070128 samples/sec accuracy=30.908088 loss=3.138648 lr=0.056054 Epoch[018] Batch [3449]/[3760] Speed: 119.083193 samples/sec accuracy=30.887681 loss=3.139683 lr=0.056093 Epoch[018] Batch [3499]/[3760] Speed: 119.226872 samples/sec accuracy=30.906696 loss=3.139258 lr=0.056132 Epoch[018] Batch [3549]/[3760] Speed: 118.714954 samples/sec accuracy=30.908011 loss=3.139980 lr=0.056171 Epoch[018] Batch [3599]/[3760] Speed: 119.058806 samples/sec accuracy=30.909288 loss=3.140167 lr=0.056209 Epoch[018] Batch [3649]/[3760] Speed: 119.087543 samples/sec accuracy=30.916952 loss=3.140014 lr=0.056248 Epoch[018] Batch [3699]/[3760] Speed: 119.571177 samples/sec accuracy=30.898649 loss=3.140512 lr=0.056287 Epoch[018] Batch [3749]/[3760] Speed: 122.845474 samples/sec accuracy=30.885833 loss=3.140895 lr=0.056326 Batch [0049]/[0303]: acc-top1=31.718750 acc-top5=57.687500 Batch [0099]/[0303]: acc-top1=28.875000 acc-top5=55.140625 Batch [0149]/[0303]: acc-top1=30.666667 acc-top5=56.760417 Batch [0199]/[0303]: acc-top1=32.843750 acc-top5=58.617188 Batch [0249]/[0303]: acc-top1=31.993750 acc-top5=58.243750 Batch [0299]/[0303]: acc-top1=31.119792 acc-top5=57.729167 [Epoch 018] training: accuracy=30.890957 loss=3.140484 [Epoch 018] speed: 118 samples/sec time cost: 2149.055233 [Epoch 018] validation: acc-top1=31.115924 acc-top5=57.719678 loss=3.298003 Epoch[019] Batch [0049]/[3760] Speed: 87.369183 samples/sec accuracy=30.843750 loss=3.094046 lr=0.056372 Epoch[019] Batch [0099]/[3760] Speed: 118.353217 samples/sec accuracy=30.843750 loss=3.101080 lr=0.056411 Epoch[019] Batch [0149]/[3760] Speed: 119.520202 samples/sec accuracy=31.083333 loss=3.109384 lr=0.056449 Epoch[019] Batch [0199]/[3760] 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accuracy=31.480769 loss=3.108172 lr=0.056837 Epoch[019] Batch [0699]/[3760] Speed: 118.052832 samples/sec accuracy=31.484375 loss=3.107037 lr=0.056875 Epoch[019] Batch [0749]/[3760] Speed: 118.900524 samples/sec accuracy=31.502083 loss=3.106558 lr=0.056914 Epoch[019] Batch [0799]/[3760] Speed: 119.442319 samples/sec accuracy=31.531250 loss=3.107047 lr=0.056953 Epoch[019] Batch [0849]/[3760] Speed: 118.335817 samples/sec accuracy=31.571691 loss=3.105316 lr=0.056992 Epoch[019] Batch [0899]/[3760] Speed: 119.203643 samples/sec accuracy=31.562500 loss=3.106538 lr=0.057030 Epoch[019] Batch [0949]/[3760] Speed: 119.622313 samples/sec accuracy=31.577303 loss=3.106367 lr=0.057069 Epoch[019] Batch [0999]/[3760] Speed: 118.530837 samples/sec accuracy=31.542188 loss=3.107495 lr=0.057108 Epoch[019] Batch [1049]/[3760] Speed: 119.070960 samples/sec accuracy=31.531250 loss=3.108246 lr=0.057147 Epoch[019] Batch [1099]/[3760] Speed: 119.298281 samples/sec accuracy=31.573864 loss=3.105591 lr=0.057185 Epoch[019] Batch [1149]/[3760] Speed: 119.126709 samples/sec accuracy=31.610054 loss=3.104690 lr=0.057224 Epoch[019] Batch [1199]/[3760] Speed: 118.651800 samples/sec accuracy=31.602865 loss=3.106498 lr=0.057263 Epoch[019] Batch [1249]/[3760] Speed: 119.295643 samples/sec accuracy=31.605000 loss=3.105207 lr=0.057302 Epoch[019] Batch [1299]/[3760] Speed: 119.336582 samples/sec accuracy=31.537260 loss=3.108723 lr=0.057340 Epoch[019] Batch [1349]/[3760] Speed: 119.658434 samples/sec accuracy=31.569444 loss=3.108103 lr=0.057379 Epoch[019] Batch [1399]/[3760] Speed: 119.427414 samples/sec accuracy=31.568080 loss=3.106752 lr=0.057418 Epoch[019] Batch [1449]/[3760] Speed: 119.195697 samples/sec accuracy=31.518319 loss=3.108696 lr=0.057456 Epoch[019] Batch [1499]/[3760] Speed: 119.393278 samples/sec accuracy=31.551042 loss=3.106965 lr=0.057495 Epoch[019] Batch [1549]/[3760] Speed: 119.759648 samples/sec accuracy=31.542339 loss=3.107138 lr=0.057534 Epoch[019] Batch [1599]/[3760] Speed: 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accuracy=31.330729 loss=3.117412 lr=0.058657 Epoch[019] Batch [3049]/[3760] Speed: 119.465970 samples/sec accuracy=31.331455 loss=3.118214 lr=0.058696 Epoch[019] Batch [3099]/[3760] Speed: 118.726685 samples/sec accuracy=31.332661 loss=3.118687 lr=0.058735 Epoch[019] Batch [3149]/[3760] Speed: 118.541585 samples/sec accuracy=31.321429 loss=3.119809 lr=0.058773 Epoch[019] Batch [3199]/[3760] Speed: 118.903661 samples/sec accuracy=31.316406 loss=3.119549 lr=0.058812 Epoch[019] Batch [3249]/[3760] Speed: 119.011677 samples/sec accuracy=31.305288 loss=3.120339 lr=0.058851 Epoch[019] Batch [3299]/[3760] Speed: 118.781511 samples/sec accuracy=31.317708 loss=3.120158 lr=0.058889 Epoch[019] Batch [3349]/[3760] Speed: 119.251799 samples/sec accuracy=31.334888 loss=3.119737 lr=0.058928 Epoch[019] Batch [3399]/[3760] Speed: 119.089262 samples/sec accuracy=31.330882 loss=3.120599 lr=0.058967 Epoch[019] Batch [3449]/[3760] Speed: 119.380824 samples/sec accuracy=31.309783 loss=3.121834 lr=0.059006 Epoch[019] Batch [3499]/[3760] Speed: 118.885722 samples/sec accuracy=31.305804 loss=3.122308 lr=0.059044 Epoch[019] Batch [3549]/[3760] Speed: 119.337361 samples/sec accuracy=31.312940 loss=3.122502 lr=0.059083 Epoch[019] Batch [3599]/[3760] Speed: 118.681148 samples/sec accuracy=31.297309 loss=3.123018 lr=0.059122 Epoch[019] Batch [3649]/[3760] Speed: 118.742978 samples/sec accuracy=31.304795 loss=3.122634 lr=0.059161 Epoch[019] Batch [3699]/[3760] Speed: 119.645740 samples/sec accuracy=31.300253 loss=3.123734 lr=0.059199 Epoch[019] Batch [3749]/[3760] Speed: 123.217275 samples/sec accuracy=31.305417 loss=3.123519 lr=0.059238 Batch [0049]/[0303]: acc-top1=32.406250 acc-top5=57.875000 Batch [0099]/[0303]: acc-top1=29.140625 acc-top5=54.468750 Batch [0149]/[0303]: acc-top1=30.197917 acc-top5=56.697917 Batch [0199]/[0303]: acc-top1=31.804688 acc-top5=58.015625 Batch [0249]/[0303]: acc-top1=31.212500 acc-top5=58.081250 Batch [0299]/[0303]: acc-top1=30.822917 acc-top5=58.052083 [Epoch 019] training: accuracy=31.303191 loss=3.123568 [Epoch 019] speed: 118 samples/sec time cost: 2148.441520 [Epoch 019] validation: acc-top1=30.724010 acc-top5=58.111592 loss=3.293099 Epoch[020] Batch [0049]/[3759] Speed: 88.311559 samples/sec accuracy=30.937500 loss=3.099223 lr=0.059285 Epoch[020] Batch [0099]/[3759] Speed: 119.608672 samples/sec accuracy=31.578125 loss=3.105734 lr=0.059323 Epoch[020] Batch [0149]/[3759] Speed: 119.355905 samples/sec accuracy=31.760417 loss=3.095356 lr=0.059362 Epoch[020] Batch [0199]/[3759] Speed: 118.611385 samples/sec accuracy=32.000000 loss=3.086926 lr=0.059401 Epoch[020] Batch [0249]/[3759] Speed: 119.339337 samples/sec accuracy=32.031250 loss=3.082741 lr=0.059439 Epoch[020] Batch [0299]/[3759] Speed: 119.575038 samples/sec accuracy=32.166667 loss=3.075967 lr=0.059478 Epoch[020] Batch [0349]/[3759] Speed: 119.123344 samples/sec accuracy=32.147321 loss=3.078317 lr=0.059517 Epoch[020] Batch [0399]/[3759] Speed: 118.758540 samples/sec accuracy=32.253906 loss=3.064935 lr=0.059556 Epoch[020] Batch [0449]/[3759] Speed: 119.259342 samples/sec accuracy=32.190972 loss=3.066438 lr=0.059594 Epoch[020] Batch [0499]/[3759] Speed: 118.564779 samples/sec accuracy=32.171875 loss=3.069493 lr=0.059633 Epoch[020] Batch [0549]/[3759] Speed: 119.432189 samples/sec accuracy=32.178977 loss=3.074330 lr=0.059672 Epoch[020] Batch [0599]/[3759] Speed: 119.192564 samples/sec accuracy=32.059896 loss=3.082064 lr=0.059711 Epoch[020] Batch [0649]/[3759] Speed: 119.088878 samples/sec accuracy=32.079327 loss=3.084124 lr=0.059749 Epoch[020] Batch [0699]/[3759] Speed: 119.135511 samples/sec accuracy=32.098214 loss=3.085349 lr=0.059788 Epoch[020] Batch [0749]/[3759] Speed: 119.943726 samples/sec accuracy=31.993750 loss=3.091232 lr=0.059827 Epoch[020] Batch [0799]/[3759] Speed: 119.774375 samples/sec accuracy=31.957031 loss=3.094584 lr=0.059866 Epoch[020] Batch [0849]/[3759] Speed: 118.922204 samples/sec accuracy=31.931985 loss=3.097456 lr=0.059904 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loss=3.101441 lr=0.060640 Epoch[020] Batch [1849]/[3759] Speed: 119.271799 samples/sec accuracy=31.696791 loss=3.104133 lr=0.060679 Epoch[020] Batch [1899]/[3759] Speed: 118.782576 samples/sec accuracy=31.678454 loss=3.104377 lr=0.060718 Epoch[020] Batch [1949]/[3759] Speed: 118.378865 samples/sec accuracy=31.676282 loss=3.105006 lr=0.060756 Epoch[020] Batch [1999]/[3759] Speed: 118.951262 samples/sec accuracy=31.707812 loss=3.104315 lr=0.060795 Epoch[020] Batch [2049]/[3759] Speed: 119.255528 samples/sec accuracy=31.727134 loss=3.103205 lr=0.060834 Epoch[020] Batch [2099]/[3759] Speed: 118.786672 samples/sec accuracy=31.694940 loss=3.104171 lr=0.060873 Epoch[020] Batch [2149]/[3759] Speed: 118.934602 samples/sec accuracy=31.696221 loss=3.104159 lr=0.060911 Epoch[020] Batch [2199]/[3759] Speed: 119.633328 samples/sec accuracy=31.698153 loss=3.104329 lr=0.060950 Epoch[020] Batch [2249]/[3759] Speed: 119.488349 samples/sec accuracy=31.681250 loss=3.105191 lr=0.060989 Epoch[020] Batch 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accuracy=31.659091 loss=3.104948 lr=0.061376 Epoch[020] Batch [2799]/[3759] Speed: 119.254905 samples/sec accuracy=31.648996 loss=3.105274 lr=0.061415 Epoch[020] Batch [2849]/[3759] Speed: 119.079343 samples/sec accuracy=31.628289 loss=3.106037 lr=0.061453 Epoch[020] Batch [2899]/[3759] Speed: 119.099561 samples/sec accuracy=31.639009 loss=3.105884 lr=0.061492 Epoch[020] Batch [2949]/[3759] Speed: 119.170841 samples/sec accuracy=31.648835 loss=3.106062 lr=0.061531 Epoch[020] Batch [2999]/[3759] Speed: 119.411201 samples/sec accuracy=31.660417 loss=3.106433 lr=0.061570 Epoch[020] Batch [3049]/[3759] Speed: 119.167554 samples/sec accuracy=31.659836 loss=3.106638 lr=0.061608 Epoch[020] Batch [3099]/[3759] Speed: 119.067130 samples/sec accuracy=31.694556 loss=3.105884 lr=0.061647 Epoch[020] Batch [3149]/[3759] Speed: 118.715039 samples/sec accuracy=31.687004 loss=3.105213 lr=0.061686 Epoch[020] Batch [3199]/[3759] Speed: 119.803254 samples/sec accuracy=31.682129 loss=3.105197 lr=0.061725 Epoch[020] Batch [3249]/[3759] Speed: 118.614990 samples/sec accuracy=31.674038 loss=3.105573 lr=0.061763 Epoch[020] Batch [3299]/[3759] Speed: 118.979829 samples/sec accuracy=31.670455 loss=3.105820 lr=0.061802 Epoch[020] Batch [3349]/[3759] Speed: 119.217530 samples/sec accuracy=31.680504 loss=3.105191 lr=0.061841 Epoch[020] Batch [3399]/[3759] Speed: 118.894097 samples/sec accuracy=31.673713 loss=3.105440 lr=0.061880 Epoch[020] Batch [3449]/[3759] Speed: 119.767628 samples/sec accuracy=31.675272 loss=3.105162 lr=0.061918 Epoch[020] Batch [3499]/[3759] Speed: 119.060700 samples/sec accuracy=31.686161 loss=3.104933 lr=0.061957 Epoch[020] Batch [3549]/[3759] Speed: 118.643877 samples/sec accuracy=31.676496 loss=3.105493 lr=0.061996 Epoch[020] Batch [3599]/[3759] Speed: 118.639887 samples/sec accuracy=31.693142 loss=3.104467 lr=0.062034 Epoch[020] Batch [3649]/[3759] Speed: 119.742859 samples/sec accuracy=31.691781 loss=3.104104 lr=0.062073 Epoch[020] Batch [3699]/[3759] Speed: 119.261502 samples/sec accuracy=31.677787 loss=3.104497 lr=0.062112 Epoch[020] Batch [3749]/[3759] Speed: 123.185466 samples/sec accuracy=31.652917 loss=3.105224 lr=0.062151 Batch [0049]/[0303]: acc-top1=30.750000 acc-top5=58.625000 Batch [0099]/[0303]: acc-top1=29.312500 acc-top5=56.015625 Batch [0149]/[0303]: acc-top1=30.687500 acc-top5=57.145833 Batch [0199]/[0303]: acc-top1=33.273438 acc-top5=59.546875 Batch [0249]/[0303]: acc-top1=32.556250 acc-top5=59.368750 Batch [0299]/[0303]: acc-top1=31.567708 acc-top5=58.958333 [Epoch 020] training: accuracy=31.648211 loss=3.105545 [Epoch 020] speed: 118 samples/sec time cost: 2145.770121 [Epoch 020] validation: acc-top1=31.518152 acc-top5=58.859323 loss=3.252601 Epoch[021] Batch [0049]/[3760] Speed: 88.231813 samples/sec accuracy=31.562500 loss=3.111502 lr=0.062196 Epoch[021] Batch [0099]/[3760] Speed: 120.182822 samples/sec accuracy=31.625000 loss=3.094385 lr=0.062235 Epoch[021] Batch [0149]/[3760] Speed: 119.047302 samples/sec accuracy=31.937500 loss=3.086798 lr=0.062274 Epoch[021] Batch [0199]/[3760] Speed: 119.459889 samples/sec accuracy=32.312500 loss=3.070362 lr=0.062313 Epoch[021] Batch [0249]/[3760] Speed: 120.005366 samples/sec accuracy=32.600000 loss=3.052974 lr=0.062351 Epoch[021] Batch [0299]/[3760] Speed: 118.975771 samples/sec accuracy=32.343750 loss=3.061187 lr=0.062390 Epoch[021] Batch [0349]/[3760] Speed: 119.411284 samples/sec accuracy=32.486607 loss=3.058934 lr=0.062429 Epoch[021] Batch [0399]/[3760] Speed: 119.117461 samples/sec accuracy=32.468750 loss=3.064334 lr=0.062467 Epoch[021] Batch [0449]/[3760] Speed: 118.698165 samples/sec accuracy=32.458333 loss=3.068397 lr=0.062506 Epoch[021] Batch [0499]/[3760] Speed: 119.354795 samples/sec accuracy=32.321875 loss=3.075014 lr=0.062545 Epoch[021] Batch [0549]/[3760] Speed: 119.000203 samples/sec accuracy=32.196023 loss=3.082229 lr=0.062584 Epoch[021] Batch [0599]/[3760] Speed: 119.258669 samples/sec accuracy=32.184896 loss=3.084186 lr=0.062622 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accuracy=31.882500 loss=3.096418 lr=0.064094 Epoch[021] Batch [2549]/[3760] Speed: 119.301523 samples/sec accuracy=31.898284 loss=3.096019 lr=0.064133 Epoch[021] Batch [2599]/[3760] Speed: 119.418765 samples/sec accuracy=31.894231 loss=3.096074 lr=0.064172 Epoch[021] Batch [2649]/[3760] Speed: 118.691776 samples/sec accuracy=31.896226 loss=3.095725 lr=0.064210 Epoch[021] Batch [2699]/[3760] Speed: 119.085608 samples/sec accuracy=31.880208 loss=3.095944 lr=0.064249 Epoch[021] Batch [2749]/[3760] Speed: 119.459269 samples/sec accuracy=31.875568 loss=3.096205 lr=0.064288 Epoch[021] Batch [2799]/[3760] Speed: 119.101589 samples/sec accuracy=31.871094 loss=3.096462 lr=0.064327 Epoch[021] Batch [2849]/[3760] Speed: 119.031160 samples/sec accuracy=31.895833 loss=3.095373 lr=0.064365 Epoch[021] Batch [2899]/[3760] Speed: 119.047365 samples/sec accuracy=31.903556 loss=3.095494 lr=0.064404 Epoch[021] Batch [2949]/[3760] Speed: 118.608216 samples/sec accuracy=31.916314 loss=3.095430 lr=0.064443 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Batch [0299]/[0303]: acc-top1=31.817708 acc-top5=58.322917 [Epoch 021] training: accuracy=31.848820 loss=3.098970 [Epoch 021] speed: 118 samples/sec time cost: 2146.197125 [Epoch 021] validation: acc-top1=31.837871 acc-top5=58.400371 loss=3.197122 Epoch[022] Batch [0049]/[3760] Speed: 88.732684 samples/sec accuracy=31.250000 loss=3.048274 lr=0.065109 Epoch[022] Batch [0099]/[3760] Speed: 119.645908 samples/sec accuracy=31.500000 loss=3.060722 lr=0.065148 Epoch[022] Batch [0149]/[3760] Speed: 119.312370 samples/sec accuracy=32.010417 loss=3.062850 lr=0.065186 Epoch[022] Batch [0199]/[3760] Speed: 119.149366 samples/sec accuracy=32.203125 loss=3.064239 lr=0.065225 Epoch[022] Batch [0249]/[3760] Speed: 119.861613 samples/sec accuracy=31.987500 loss=3.080363 lr=0.065264 Epoch[022] Batch [0299]/[3760] Speed: 119.720503 samples/sec accuracy=31.937500 loss=3.077365 lr=0.065303 Epoch[022] Batch [0349]/[3760] Speed: 118.672839 samples/sec accuracy=31.968750 loss=3.070923 lr=0.065341 Epoch[022] 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lr=0.066077 Epoch[022] Batch [1349]/[3760] Speed: 119.281886 samples/sec accuracy=31.957176 loss=3.082702 lr=0.066116 Epoch[022] Batch [1399]/[3760] Speed: 118.344854 samples/sec accuracy=31.931920 loss=3.083842 lr=0.066155 Epoch[022] Batch [1449]/[3760] Speed: 118.884735 samples/sec accuracy=31.935345 loss=3.085100 lr=0.066193 Epoch[022] Batch [1499]/[3760] Speed: 119.199325 samples/sec accuracy=31.891667 loss=3.086023 lr=0.066232 Epoch[022] Batch [1549]/[3760] Speed: 118.930392 samples/sec accuracy=31.904234 loss=3.085569 lr=0.066271 Epoch[022] Batch [1599]/[3760] Speed: 119.410019 samples/sec accuracy=31.890625 loss=3.087223 lr=0.066310 Epoch[022] Batch [1649]/[3760] Speed: 119.628302 samples/sec accuracy=31.886364 loss=3.088373 lr=0.066348 Epoch[022] Batch [1699]/[3760] Speed: 119.351918 samples/sec accuracy=31.877757 loss=3.087585 lr=0.066387 Epoch[022] Batch [1749]/[3760] Speed: 119.243872 samples/sec accuracy=31.908036 loss=3.088229 lr=0.066426 Epoch[022] Batch [1799]/[3760] 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accuracy=31.786111 loss=3.090237 lr=0.066813 Epoch[022] Batch [2299]/[3760] Speed: 119.123894 samples/sec accuracy=31.784647 loss=3.090431 lr=0.066852 Epoch[022] Batch [2349]/[3760] Speed: 119.578907 samples/sec accuracy=31.793218 loss=3.090941 lr=0.066891 Epoch[022] Batch [2399]/[3760] Speed: 119.306482 samples/sec accuracy=31.795573 loss=3.091957 lr=0.066929 Epoch[022] Batch [2449]/[3760] Speed: 119.598258 samples/sec accuracy=31.798469 loss=3.091494 lr=0.066968 Epoch[022] Batch [2499]/[3760] Speed: 119.158499 samples/sec accuracy=31.806250 loss=3.090736 lr=0.067007 Epoch[022] Batch [2549]/[3760] Speed: 119.419107 samples/sec accuracy=31.773897 loss=3.092130 lr=0.067045 Epoch[022] Batch [2599]/[3760] Speed: 118.644089 samples/sec accuracy=31.781250 loss=3.091984 lr=0.067084 Epoch[022] Batch [2649]/[3760] Speed: 119.735989 samples/sec accuracy=31.791863 loss=3.091941 lr=0.067123 Epoch[022] Batch [2699]/[3760] Speed: 119.164412 samples/sec accuracy=31.817130 loss=3.091219 lr=0.067162 Epoch[022] Batch [2749]/[3760] Speed: 118.840780 samples/sec accuracy=31.826705 loss=3.090651 lr=0.067200 Epoch[022] Batch [2799]/[3760] Speed: 119.638217 samples/sec accuracy=31.818080 loss=3.090684 lr=0.067239 Epoch[022] Batch [2849]/[3760] Speed: 118.843473 samples/sec accuracy=31.790022 loss=3.092135 lr=0.067278 Epoch[022] Batch [2899]/[3760] Speed: 119.646845 samples/sec accuracy=31.788793 loss=3.092622 lr=0.067317 Epoch[022] Batch [2949]/[3760] Speed: 119.749235 samples/sec accuracy=31.790254 loss=3.092983 lr=0.067355 Epoch[022] Batch [2999]/[3760] Speed: 119.080339 samples/sec accuracy=31.779687 loss=3.093749 lr=0.067394 Epoch[022] Batch [3049]/[3760] Speed: 118.706665 samples/sec accuracy=31.761270 loss=3.094898 lr=0.067433 Epoch[022] Batch [3099]/[3760] Speed: 119.564216 samples/sec accuracy=31.756048 loss=3.094660 lr=0.067471 Epoch[022] Batch [3149]/[3760] Speed: 119.171467 samples/sec accuracy=31.779762 loss=3.094400 lr=0.067510 Epoch[022] Batch [3199]/[3760] Speed: 119.563719 samples/sec accuracy=31.787109 loss=3.095132 lr=0.067549 Epoch[022] Batch [3249]/[3760] Speed: 119.096476 samples/sec accuracy=31.776923 loss=3.094413 lr=0.067588 Epoch[022] Batch [3299]/[3760] Speed: 119.033415 samples/sec accuracy=31.766098 loss=3.094584 lr=0.067626 Epoch[022] Batch [3349]/[3760] Speed: 119.043448 samples/sec accuracy=31.758396 loss=3.094982 lr=0.067665 Epoch[022] Batch [3399]/[3760] Speed: 118.300266 samples/sec accuracy=31.748162 loss=3.095406 lr=0.067704 Epoch[022] Batch [3449]/[3760] Speed: 118.995442 samples/sec accuracy=31.715580 loss=3.096725 lr=0.067743 Epoch[022] Batch [3499]/[3760] Speed: 118.775373 samples/sec accuracy=31.709375 loss=3.096718 lr=0.067781 Epoch[022] Batch [3549]/[3760] Speed: 118.396791 samples/sec accuracy=31.716109 loss=3.096460 lr=0.067820 Epoch[022] Batch [3599]/[3760] Speed: 118.546710 samples/sec accuracy=31.711372 loss=3.095828 lr=0.067859 Epoch[022] Batch [3649]/[3760] Speed: 119.088290 samples/sec accuracy=31.726455 loss=3.094873 lr=0.067898 Epoch[022] Batch [3699]/[3760] Speed: 118.848136 samples/sec accuracy=31.720861 loss=3.095920 lr=0.067936 Epoch[022] Batch [3749]/[3760] Speed: 123.230809 samples/sec accuracy=31.730833 loss=3.095164 lr=0.067975 Batch [0049]/[0303]: acc-top1=33.343750 acc-top5=59.593750 Batch [0099]/[0303]: acc-top1=30.062500 acc-top5=56.328125 Batch [0149]/[0303]: acc-top1=31.614583 acc-top5=57.500000 Batch [0199]/[0303]: acc-top1=34.234375 acc-top5=59.671875 Batch [0249]/[0303]: acc-top1=33.350000 acc-top5=59.706250 Batch [0299]/[0303]: acc-top1=32.645833 acc-top5=59.807292 [Epoch 022] training: accuracy=31.735788 loss=3.094933 [Epoch 022] speed: 118 samples/sec time cost: 2146.694705 [Epoch 022] validation: acc-top1=32.523721 acc-top5=59.787541 loss=3.159255 Epoch[023] Batch [0049]/[3759] Speed: 87.478550 samples/sec accuracy=31.625000 loss=3.110365 lr=0.068021 Epoch[023] Batch [0099]/[3759] Speed: 118.719058 samples/sec accuracy=32.125000 loss=3.067837 lr=0.068060 Epoch[023] Batch [0149]/[3759] Speed: 119.177832 samples/sec accuracy=32.197917 loss=3.077229 lr=0.068099 Epoch[023] Batch [0199]/[3759] Speed: 118.303272 samples/sec accuracy=32.664062 loss=3.060830 lr=0.068138 Epoch[023] Batch [0249]/[3759] Speed: 118.918544 samples/sec accuracy=32.606250 loss=3.065777 lr=0.068176 Epoch[023] Batch [0299]/[3759] Speed: 118.886311 samples/sec accuracy=32.359375 loss=3.073510 lr=0.068215 Epoch[023] Batch [0349]/[3759] Speed: 119.850861 samples/sec accuracy=32.522321 loss=3.065277 lr=0.068254 Epoch[023] Batch [0399]/[3759] Speed: 118.744067 samples/sec accuracy=32.621094 loss=3.064125 lr=0.068293 Epoch[023] Batch [0449]/[3759] Speed: 119.415711 samples/sec accuracy=32.597222 loss=3.060645 lr=0.068331 Epoch[023] Batch [0499]/[3759] Speed: 119.622554 samples/sec accuracy=32.525000 loss=3.064255 lr=0.068370 Epoch[023] Batch [0549]/[3759] Speed: 119.877600 samples/sec accuracy=32.471591 loss=3.068987 lr=0.068409 Epoch[023] Batch [0599]/[3759] Speed: 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accuracy=32.092188 loss=3.085658 lr=0.069532 Epoch[023] Batch [2049]/[3759] Speed: 119.229715 samples/sec accuracy=32.119665 loss=3.085419 lr=0.069571 Epoch[023] Batch [2099]/[3759] Speed: 120.219118 samples/sec accuracy=32.101190 loss=3.085920 lr=0.069609 Epoch[023] Batch [2149]/[3759] Speed: 119.117373 samples/sec accuracy=32.123547 loss=3.085233 lr=0.069648 Epoch[023] Batch [2199]/[3759] Speed: 119.115936 samples/sec accuracy=32.129261 loss=3.084343 lr=0.069687 Epoch[023] Batch [2249]/[3759] Speed: 118.724127 samples/sec accuracy=32.101389 loss=3.085509 lr=0.069726 Epoch[023] Batch [2299]/[3759] Speed: 119.813590 samples/sec accuracy=32.093750 loss=3.085926 lr=0.069764 Epoch[023] Batch [2349]/[3759] Speed: 118.587063 samples/sec accuracy=32.070479 loss=3.085991 lr=0.069803 Epoch[023] Batch [2399]/[3759] Speed: 118.744381 samples/sec accuracy=32.089844 loss=3.085511 lr=0.069842 Epoch[023] Batch [2449]/[3759] Speed: 119.566035 samples/sec accuracy=32.066964 loss=3.086302 lr=0.069881 Epoch[023] Batch [2499]/[3759] Speed: 118.918494 samples/sec accuracy=32.060625 loss=3.086036 lr=0.069919 Epoch[023] Batch [2549]/[3759] Speed: 119.793812 samples/sec accuracy=32.072917 loss=3.085527 lr=0.069958 Epoch[023] Batch [2599]/[3759] Speed: 118.752484 samples/sec accuracy=32.062500 loss=3.085904 lr=0.069997 Epoch[023] Batch [2649]/[3759] Speed: 119.982099 samples/sec accuracy=32.060731 loss=3.086609 lr=0.070035 Epoch[023] Batch [2699]/[3759] Speed: 118.661750 samples/sec accuracy=32.070602 loss=3.086601 lr=0.070074 Epoch[023] Batch [2749]/[3759] Speed: 118.915278 samples/sec accuracy=32.070455 loss=3.086856 lr=0.070113 Epoch[023] Batch [2799]/[3759] Speed: 120.071216 samples/sec accuracy=32.061942 loss=3.086907 lr=0.070152 Epoch[023] Batch [2849]/[3759] Speed: 119.158660 samples/sec accuracy=32.062500 loss=3.086945 lr=0.070190 Epoch[023] Batch [2899]/[3759] Speed: 118.860554 samples/sec accuracy=32.079741 loss=3.086167 lr=0.070229 Epoch[023] Batch [2949]/[3759] Speed: 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loss=3.091860 lr=0.070616 Epoch[023] Batch [3449]/[3759] Speed: 119.086122 samples/sec accuracy=31.971920 loss=3.091870 lr=0.070655 Epoch[023] Batch [3499]/[3759] Speed: 119.173336 samples/sec accuracy=31.981696 loss=3.091344 lr=0.070694 Epoch[023] Batch [3549]/[3759] Speed: 117.857956 samples/sec accuracy=31.978433 loss=3.091942 lr=0.070733 Epoch[023] Batch [3599]/[3759] Speed: 119.524019 samples/sec accuracy=31.964410 loss=3.092922 lr=0.070771 Epoch[023] Batch [3649]/[3759] Speed: 119.430514 samples/sec accuracy=31.972603 loss=3.092916 lr=0.070810 Epoch[023] Batch [3699]/[3759] Speed: 118.727685 samples/sec accuracy=31.970439 loss=3.092859 lr=0.070849 Epoch[023] Batch [3749]/[3759] Speed: 123.783706 samples/sec accuracy=31.972083 loss=3.092581 lr=0.070888 Batch [0049]/[0303]: acc-top1=32.593750 acc-top5=60.531250 Batch [0099]/[0303]: acc-top1=30.406250 acc-top5=56.843750 Batch [0149]/[0303]: acc-top1=31.885417 acc-top5=58.135417 Batch [0199]/[0303]: acc-top1=33.679688 acc-top5=59.851562 Batch [0249]/[0303]: acc-top1=32.943750 acc-top5=59.481250 Batch [0299]/[0303]: acc-top1=32.484375 acc-top5=59.338542 [Epoch 023] training: accuracy=31.975343 loss=3.092360 [Epoch 023] speed: 118 samples/sec time cost: 2145.087206 [Epoch 023] validation: acc-top1=32.534035 acc-top5=59.369843 loss=3.145064 Epoch[024] Batch [0049]/[3760] Speed: 87.045300 samples/sec accuracy=33.750000 loss=3.002920 lr=0.070933 Epoch[024] Batch [0099]/[3760] Speed: 118.635533 samples/sec accuracy=33.500000 loss=3.003675 lr=0.070972 Epoch[024] Batch [0149]/[3760] Speed: 119.683224 samples/sec accuracy=33.437500 loss=3.025007 lr=0.071011 Epoch[024] Batch [0199]/[3760] Speed: 118.975478 samples/sec accuracy=33.687500 loss=3.019483 lr=0.071049 Epoch[024] Batch [0249]/[3760] Speed: 119.704141 samples/sec accuracy=33.500000 loss=3.027137 lr=0.071088 Epoch[024] Batch [0299]/[3760] Speed: 119.334323 samples/sec accuracy=33.182292 loss=3.041014 lr=0.071127 Epoch[024] Batch [0349]/[3760] Speed: 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loss=3.076330 lr=0.071514 Epoch[024] Batch [0849]/[3760] Speed: 118.952758 samples/sec accuracy=31.933824 loss=3.076451 lr=0.071553 Epoch[024] Batch [0899]/[3760] Speed: 118.851967 samples/sec accuracy=31.887153 loss=3.077043 lr=0.071592 Epoch[024] Batch [0949]/[3760] Speed: 119.192862 samples/sec accuracy=31.921053 loss=3.076299 lr=0.071630 Epoch[024] Batch [0999]/[3760] Speed: 118.700637 samples/sec accuracy=31.954688 loss=3.075411 lr=0.071669 Epoch[024] Batch [1049]/[3760] Speed: 118.496180 samples/sec accuracy=32.008929 loss=3.074645 lr=0.071708 Epoch[024] Batch [1099]/[3760] Speed: 118.630698 samples/sec accuracy=31.997159 loss=3.077181 lr=0.071747 Epoch[024] Batch [1149]/[3760] Speed: 118.813510 samples/sec accuracy=32.023098 loss=3.076061 lr=0.071785 Epoch[024] Batch [1199]/[3760] Speed: 119.109912 samples/sec accuracy=32.022135 loss=3.076256 lr=0.071824 Epoch[024] Batch [1249]/[3760] Speed: 118.823650 samples/sec accuracy=32.072500 loss=3.075676 lr=0.071863 Epoch[024] Batch [1299]/[3760] Speed: 119.213694 samples/sec accuracy=32.088942 loss=3.076678 lr=0.071902 Epoch[024] Batch [1349]/[3760] Speed: 119.401375 samples/sec accuracy=32.037037 loss=3.077165 lr=0.071940 Epoch[024] Batch [1399]/[3760] Speed: 119.084883 samples/sec accuracy=32.053571 loss=3.076371 lr=0.071979 Epoch[024] Batch [1449]/[3760] Speed: 118.889776 samples/sec accuracy=32.053879 loss=3.077174 lr=0.072018 Epoch[024] Batch [1499]/[3760] Speed: 118.375879 samples/sec accuracy=32.064583 loss=3.077390 lr=0.072056 Epoch[024] Batch [1549]/[3760] Speed: 118.996145 samples/sec accuracy=32.040323 loss=3.078167 lr=0.072095 Epoch[024] Batch [1599]/[3760] Speed: 119.279450 samples/sec accuracy=32.048828 loss=3.078345 lr=0.072134 Epoch[024] Batch [1649]/[3760] Speed: 119.269337 samples/sec accuracy=32.068182 loss=3.077893 lr=0.072173 Epoch[024] Batch [1699]/[3760] Speed: 118.926874 samples/sec accuracy=32.043199 loss=3.078344 lr=0.072211 Epoch[024] Batch [1749]/[3760] Speed: 118.880987 samples/sec accuracy=32.040179 loss=3.078410 lr=0.072250 Epoch[024] Batch [1799]/[3760] Speed: 118.442351 samples/sec accuracy=32.080729 loss=3.076802 lr=0.072289 Epoch[024] Batch [1849]/[3760] Speed: 118.797695 samples/sec accuracy=32.106419 loss=3.075749 lr=0.072328 Epoch[024] Batch [1899]/[3760] Speed: 119.534884 samples/sec accuracy=32.098684 loss=3.075733 lr=0.072366 Epoch[024] Batch [1949]/[3760] Speed: 118.449140 samples/sec accuracy=32.125801 loss=3.075134 lr=0.072405 Epoch[024] Batch [1999]/[3760] Speed: 118.973142 samples/sec accuracy=32.136719 loss=3.074010 lr=0.072444 Epoch[024] Batch [2049]/[3760] Speed: 118.102932 samples/sec accuracy=32.116616 loss=3.073823 lr=0.072482 Epoch[024] Batch [2099]/[3760] Speed: 118.844557 samples/sec accuracy=32.137649 loss=3.073135 lr=0.072521 Epoch[024] Batch [2149]/[3760] Speed: 119.379560 samples/sec accuracy=32.127180 loss=3.073686 lr=0.072560 Epoch[024] Batch [2199]/[3760] Speed: 119.437740 samples/sec accuracy=32.136364 loss=3.073746 lr=0.072599 Epoch[024] Batch [2249]/[3760] Speed: 118.711099 samples/sec accuracy=32.127778 loss=3.073248 lr=0.072637 Epoch[024] Batch [2299]/[3760] Speed: 118.932357 samples/sec accuracy=32.146739 loss=3.073804 lr=0.072676 Epoch[024] Batch [2349]/[3760] Speed: 118.938980 samples/sec accuracy=32.150266 loss=3.072144 lr=0.072715 Epoch[024] Batch [2399]/[3760] Speed: 119.202944 samples/sec accuracy=32.154948 loss=3.071824 lr=0.072754 Epoch[024] Batch [2449]/[3760] Speed: 119.365896 samples/sec accuracy=32.142857 loss=3.072220 lr=0.072792 Epoch[024] Batch [2499]/[3760] Speed: 119.317578 samples/sec accuracy=32.134375 loss=3.073336 lr=0.072831 Epoch[024] Batch [2549]/[3760] Speed: 118.311997 samples/sec accuracy=32.124387 loss=3.074088 lr=0.072870 Epoch[024] Batch [2599]/[3760] Speed: 119.021756 samples/sec accuracy=32.144832 loss=3.073518 lr=0.072909 Epoch[024] Batch [2649]/[3760] Speed: 118.318140 samples/sec accuracy=32.147995 loss=3.074325 lr=0.072947 Epoch[024] Batch [2699]/[3760] Speed: 119.179595 samples/sec accuracy=32.135417 loss=3.074145 lr=0.072986 Epoch[024] Batch [2749]/[3760] Speed: 119.129487 samples/sec accuracy=32.171591 loss=3.073337 lr=0.073025 Epoch[024] Batch [2799]/[3760] Speed: 118.253015 samples/sec accuracy=32.141741 loss=3.074200 lr=0.073063 Epoch[024] Batch [2849]/[3760] Speed: 119.025971 samples/sec accuracy=32.126645 loss=3.075778 lr=0.073102 Epoch[024] Batch [2899]/[3760] Speed: 118.705330 samples/sec accuracy=32.141703 loss=3.076029 lr=0.073141 Epoch[024] Batch [2949]/[3760] Speed: 119.638541 samples/sec accuracy=32.122881 loss=3.077707 lr=0.073180 Epoch[024] Batch [2999]/[3760] Speed: 118.552223 samples/sec accuracy=32.134375 loss=3.077681 lr=0.073218 Epoch[024] Batch [3049]/[3760] Speed: 119.648461 samples/sec accuracy=32.133709 loss=3.077776 lr=0.073257 Epoch[024] Batch [3099]/[3760] Speed: 119.392796 samples/sec accuracy=32.133569 loss=3.078589 lr=0.073296 Epoch[024] Batch [3149]/[3760] Speed: 119.256598 samples/sec accuracy=32.120536 loss=3.079409 lr=0.073335 Epoch[024] Batch [3199]/[3760] Speed: 118.717863 samples/sec accuracy=32.135742 loss=3.078816 lr=0.073373 Epoch[024] Batch [3249]/[3760] Speed: 119.788921 samples/sec accuracy=32.124519 loss=3.079218 lr=0.073412 Epoch[024] Batch [3299]/[3760] Speed: 119.109520 samples/sec accuracy=32.110322 loss=3.079442 lr=0.073451 Epoch[024] Batch [3349]/[3760] Speed: 120.095023 samples/sec accuracy=32.125000 loss=3.079813 lr=0.073489 Epoch[024] Batch [3399]/[3760] Speed: 118.362650 samples/sec accuracy=32.094210 loss=3.081485 lr=0.073528 Epoch[024] Batch [3449]/[3760] Speed: 119.153201 samples/sec accuracy=32.079710 loss=3.082084 lr=0.073567 Epoch[024] Batch [3499]/[3760] Speed: 119.245936 samples/sec accuracy=32.077679 loss=3.082558 lr=0.073606 Epoch[024] Batch [3549]/[3760] Speed: 118.422293 samples/sec accuracy=32.062500 loss=3.083260 lr=0.073644 Epoch[024] Batch [3599]/[3760] Speed: 119.696626 samples/sec accuracy=32.060330 loss=3.083325 lr=0.073683 Epoch[024] Batch [3649]/[3760] Speed: 119.349267 samples/sec accuracy=32.068065 loss=3.083704 lr=0.073722 Epoch[024] Batch [3699]/[3760] Speed: 119.424807 samples/sec accuracy=32.052787 loss=3.084064 lr=0.073761 Epoch[024] Batch [3749]/[3760] Speed: 122.989803 samples/sec accuracy=32.050417 loss=3.084139 lr=0.073799 Batch [0049]/[0303]: acc-top1=30.843750 acc-top5=56.781250 Batch [0099]/[0303]: acc-top1=27.906250 acc-top5=53.250000 Batch [0149]/[0303]: acc-top1=29.833333 acc-top5=54.927083 Batch [0199]/[0303]: acc-top1=32.109375 acc-top5=57.101562 Batch [0249]/[0303]: acc-top1=31.131250 acc-top5=56.931250 Batch [0299]/[0303]: acc-top1=30.609375 acc-top5=56.979167 [Epoch 024] training: accuracy=32.053690 loss=3.084255 [Epoch 024] speed: 118 samples/sec time cost: 2148.083871 [Epoch 024] validation: acc-top1=30.569307 acc-top5=56.997731 loss=3.336879 Epoch[025] Batch [0049]/[3760] Speed: 88.349164 samples/sec accuracy=32.343750 loss=3.067551 lr=0.073846 Epoch[025] Batch [0099]/[3760] Speed: 118.750040 samples/sec accuracy=32.593750 loss=3.064030 lr=0.073885 Epoch[025] Batch [0149]/[3760] Speed: 119.285255 samples/sec accuracy=32.927083 loss=3.046124 lr=0.073923 Epoch[025] Batch [0199]/[3760] Speed: 118.798821 samples/sec accuracy=32.820312 loss=3.039314 lr=0.073962 Epoch[025] Batch [0249]/[3760] Speed: 119.844167 samples/sec accuracy=32.975000 loss=3.034748 lr=0.074001 Epoch[025] Batch [0299]/[3760] Speed: 119.302385 samples/sec accuracy=32.895833 loss=3.036222 lr=0.074039 Epoch[025] Batch [0349]/[3760] Speed: 119.519677 samples/sec accuracy=32.790179 loss=3.035911 lr=0.074078 Epoch[025] Batch [0399]/[3760] Speed: 119.291384 samples/sec accuracy=32.738281 loss=3.036853 lr=0.074117 Epoch[025] Batch [0449]/[3760] Speed: 118.944715 samples/sec accuracy=32.736111 loss=3.043679 lr=0.074156 Epoch[025] Batch [0499]/[3760] Speed: 119.972169 samples/sec accuracy=32.659375 loss=3.044588 lr=0.074194 Epoch[025] Batch [0549]/[3760] Speed: 119.699198 samples/sec accuracy=32.659091 loss=3.042061 lr=0.074233 Epoch[025] Batch [0599]/[3760] Speed: 118.995217 samples/sec accuracy=32.630208 loss=3.047457 lr=0.074272 Epoch[025] Batch [0649]/[3760] Speed: 117.809008 samples/sec accuracy=32.716346 loss=3.045604 lr=0.074311 Epoch[025] Batch [0699]/[3760] Speed: 119.211310 samples/sec accuracy=32.665179 loss=3.050553 lr=0.074349 Epoch[025] Batch [0749]/[3760] Speed: 119.150542 samples/sec accuracy=32.654167 loss=3.049678 lr=0.074388 Epoch[025] Batch [0799]/[3760] Speed: 118.976434 samples/sec accuracy=32.634766 loss=3.047941 lr=0.074427 Epoch[025] Batch [0849]/[3760] Speed: 120.432606 samples/sec accuracy=32.672794 loss=3.048022 lr=0.074466 Epoch[025] Batch [0899]/[3760] Speed: 118.383714 samples/sec accuracy=32.574653 loss=3.051347 lr=0.074504 Epoch[025] Batch [0949]/[3760] Speed: 119.882285 samples/sec accuracy=32.531250 loss=3.055150 lr=0.074543 Epoch[025] Batch [0999]/[3760] Speed: 118.942431 samples/sec accuracy=32.540625 loss=3.055988 lr=0.074582 Epoch[025] Batch [1049]/[3760] Speed: 119.023215 samples/sec accuracy=32.547619 loss=3.055888 lr=0.074620 Epoch[025] Batch [1099]/[3760] Speed: 119.273078 samples/sec accuracy=32.617898 loss=3.052730 lr=0.074659 Epoch[025] Batch [1149]/[3760] Speed: 119.564284 samples/sec accuracy=32.646739 loss=3.055389 lr=0.074698 Epoch[025] Batch [1199]/[3760] Speed: 119.258658 samples/sec accuracy=32.638021 loss=3.056336 lr=0.074737 Epoch[025] Batch [1249]/[3760] Speed: 119.077606 samples/sec accuracy=32.615000 loss=3.057750 lr=0.074775 Epoch[025] Batch [1299]/[3760] Speed: 118.913731 samples/sec accuracy=32.574519 loss=3.059016 lr=0.074814 Epoch[025] Batch [1349]/[3760] Speed: 118.842083 samples/sec accuracy=32.584491 loss=3.057398 lr=0.074853 Epoch[025] Batch [1399]/[3760] Speed: 119.393779 samples/sec accuracy=32.534598 loss=3.059169 lr=0.074892 Epoch[025] Batch [1449]/[3760] Speed: 119.425337 samples/sec accuracy=32.497845 loss=3.059970 lr=0.074930 Epoch[025] Batch [1499]/[3760] Speed: 120.095610 samples/sec accuracy=32.492708 loss=3.062084 lr=0.074969 Epoch[025] Batch [1549]/[3760] Speed: 118.684436 samples/sec accuracy=32.456653 loss=3.062881 lr=0.075008 Epoch[025] Batch [1599]/[3760] Speed: 118.843308 samples/sec accuracy=32.508789 loss=3.061621 lr=0.075046 Epoch[025] Batch [1649]/[3760] Speed: 119.487284 samples/sec accuracy=32.519886 loss=3.063620 lr=0.075085 Epoch[025] Batch [1699]/[3760] Speed: 119.272587 samples/sec accuracy=32.518382 loss=3.064272 lr=0.075124 Epoch[025] Batch [1749]/[3760] Speed: 119.302266 samples/sec accuracy=32.506250 loss=3.066492 lr=0.075163 Epoch[025] Batch [1799]/[3760] Speed: 119.705104 samples/sec accuracy=32.439236 loss=3.068895 lr=0.075201 Epoch[025] Batch [1849]/[3760] Speed: 119.483836 samples/sec accuracy=32.417230 loss=3.068524 lr=0.075240 Epoch[025] Batch [1899]/[3760] Speed: 119.293168 samples/sec accuracy=32.410362 loss=3.068464 lr=0.075279 Epoch[025] Batch [1949]/[3760] Speed: 120.499587 samples/sec accuracy=32.394231 loss=3.069191 lr=0.075318 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loss=3.076910 lr=0.076053 Epoch[025] Batch [2949]/[3760] Speed: 119.355377 samples/sec accuracy=32.199682 loss=3.078113 lr=0.076092 Epoch[025] Batch [2999]/[3760] Speed: 118.957315 samples/sec accuracy=32.198958 loss=3.078254 lr=0.076131 Epoch[025] Batch [3049]/[3760] Speed: 119.543417 samples/sec accuracy=32.180328 loss=3.079051 lr=0.076170 Epoch[025] Batch [3099]/[3760] Speed: 119.957302 samples/sec accuracy=32.209677 loss=3.078206 lr=0.076208 Epoch[025] Batch [3149]/[3760] Speed: 119.108092 samples/sec accuracy=32.217758 loss=3.078908 lr=0.076247 Epoch[025] Batch [3199]/[3760] Speed: 119.690535 samples/sec accuracy=32.199707 loss=3.079777 lr=0.076286 Epoch[025] Batch [3249]/[3760] Speed: 119.609174 samples/sec accuracy=32.191827 loss=3.079819 lr=0.076325 Epoch[025] Batch [3299]/[3760] Speed: 119.573078 samples/sec accuracy=32.198390 loss=3.079841 lr=0.076363 Epoch[025] Batch [3349]/[3760] Speed: 119.513010 samples/sec accuracy=32.200093 loss=3.080308 lr=0.076402 Epoch[025] Batch 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acc-top5=57.781250 Batch [0199]/[0303]: acc-top1=34.054688 acc-top5=59.984375 Batch [0249]/[0303]: acc-top1=32.931250 acc-top5=59.593750 Batch [0299]/[0303]: acc-top1=32.380208 acc-top5=59.723958 [Epoch 025] training: accuracy=32.174202 loss=3.082008 [Epoch 025] speed: 118 samples/sec time cost: 2143.592298 [Epoch 025] validation: acc-top1=32.255569 acc-top5=59.653465 loss=3.184786 Epoch[026] Batch [0049]/[3759] Speed: 88.518749 samples/sec accuracy=33.812500 loss=2.993487 lr=0.076758 Epoch[026] Batch [0099]/[3759] Speed: 120.433042 samples/sec accuracy=33.406250 loss=3.017351 lr=0.076797 Epoch[026] Batch [0149]/[3759] Speed: 120.070155 samples/sec accuracy=33.000000 loss=3.038418 lr=0.076836 Epoch[026] Batch [0199]/[3759] Speed: 120.087171 samples/sec accuracy=33.265625 loss=3.035598 lr=0.076875 Epoch[026] Batch [0249]/[3759] Speed: 119.102756 samples/sec accuracy=33.018750 loss=3.047113 lr=0.076913 Epoch[026] Batch [0299]/[3759] Speed: 119.349807 samples/sec accuracy=32.838542 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accuracy=32.317500 loss=3.070938 lr=0.077688 Epoch[026] Batch [1299]/[3759] Speed: 119.238202 samples/sec accuracy=32.305288 loss=3.071450 lr=0.077727 Epoch[026] Batch [1349]/[3759] Speed: 119.126651 samples/sec accuracy=32.261574 loss=3.075314 lr=0.077765 Epoch[026] Batch [1399]/[3759] Speed: 120.343725 samples/sec accuracy=32.301339 loss=3.073536 lr=0.077804 Epoch[026] Batch [1449]/[3759] Speed: 119.222911 samples/sec accuracy=32.315733 loss=3.071512 lr=0.077843 Epoch[026] Batch [1499]/[3759] Speed: 118.909191 samples/sec accuracy=32.326042 loss=3.070702 lr=0.077882 Epoch[026] Batch [1549]/[3759] Speed: 119.254029 samples/sec accuracy=32.350806 loss=3.070661 lr=0.077920 Epoch[026] Batch [1599]/[3759] Speed: 119.148101 samples/sec accuracy=32.327148 loss=3.072448 lr=0.077959 Epoch[026] Batch [1649]/[3759] Speed: 119.696399 samples/sec accuracy=32.251894 loss=3.074935 lr=0.077998 Epoch[026] Batch [1699]/[3759] Speed: 118.931387 samples/sec accuracy=32.287684 loss=3.073740 lr=0.078036 Epoch[026] Batch [1749]/[3759] Speed: 119.012788 samples/sec accuracy=32.311607 loss=3.071387 lr=0.078075 Epoch[026] Batch [1799]/[3759] Speed: 119.939555 samples/sec accuracy=32.296875 loss=3.071661 lr=0.078114 Epoch[026] Batch [1849]/[3759] Speed: 119.921370 samples/sec accuracy=32.267736 loss=3.073443 lr=0.078153 Epoch[026] Batch [1899]/[3759] Speed: 119.396998 samples/sec accuracy=32.229441 loss=3.075435 lr=0.078191 Epoch[026] Batch [1949]/[3759] Speed: 120.455392 samples/sec accuracy=32.221955 loss=3.075976 lr=0.078230 Epoch[026] Batch [1999]/[3759] Speed: 119.508547 samples/sec accuracy=32.214063 loss=3.076292 lr=0.078269 Epoch[026] Batch [2049]/[3759] Speed: 118.764120 samples/sec accuracy=32.191311 loss=3.077320 lr=0.078308 Epoch[026] Batch [2099]/[3759] Speed: 119.293192 samples/sec accuracy=32.170387 loss=3.076813 lr=0.078346 Epoch[026] Batch [2149]/[3759] Speed: 119.098556 samples/sec accuracy=32.159884 loss=3.076628 lr=0.078385 Epoch[026] Batch [2199]/[3759] Speed: 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loss=3.076862 lr=0.078772 Epoch[026] Batch [2699]/[3759] Speed: 119.487700 samples/sec accuracy=32.207755 loss=3.077345 lr=0.078811 Epoch[026] Batch [2749]/[3759] Speed: 119.434762 samples/sec accuracy=32.184659 loss=3.077977 lr=0.078850 Epoch[026] Batch [2799]/[3759] Speed: 119.185171 samples/sec accuracy=32.193080 loss=3.077357 lr=0.078889 Epoch[026] Batch [2849]/[3759] Speed: 120.210285 samples/sec accuracy=32.172149 loss=3.078794 lr=0.078927 Epoch[026] Batch [2899]/[3759] Speed: 119.302338 samples/sec accuracy=32.176185 loss=3.078624 lr=0.078966 Epoch[026] Batch [2949]/[3759] Speed: 118.718724 samples/sec accuracy=32.189619 loss=3.078472 lr=0.079005 Epoch[026] Batch [2999]/[3759] Speed: 119.582926 samples/sec accuracy=32.190104 loss=3.078829 lr=0.079043 Epoch[026] Batch [3049]/[3759] Speed: 120.260673 samples/sec accuracy=32.183914 loss=3.078562 lr=0.079082 Epoch[026] Batch [3099]/[3759] Speed: 118.664648 samples/sec accuracy=32.174899 loss=3.078355 lr=0.079121 Epoch[026] Batch [3149]/[3759] Speed: 119.146327 samples/sec accuracy=32.147321 loss=3.079492 lr=0.079160 Epoch[026] Batch [3199]/[3759] Speed: 119.538822 samples/sec accuracy=32.120605 loss=3.080854 lr=0.079198 Epoch[026] Batch [3249]/[3759] Speed: 119.153991 samples/sec accuracy=32.128846 loss=3.081183 lr=0.079237 Epoch[026] Batch [3299]/[3759] Speed: 118.934952 samples/sec accuracy=32.125473 loss=3.081491 lr=0.079276 Epoch[026] Batch [3349]/[3759] Speed: 119.269939 samples/sec accuracy=32.115205 loss=3.081458 lr=0.079315 Epoch[026] Batch [3399]/[3759] Speed: 119.068131 samples/sec accuracy=32.122243 loss=3.081668 lr=0.079353 Epoch[026] Batch [3449]/[3759] Speed: 119.747790 samples/sec accuracy=32.117301 loss=3.081345 lr=0.079392 Epoch[026] Batch [3499]/[3759] Speed: 119.570225 samples/sec accuracy=32.098661 loss=3.082262 lr=0.079431 Epoch[026] Batch [3549]/[3759] Speed: 119.716740 samples/sec accuracy=32.099912 loss=3.082068 lr=0.079470 Epoch[026] Batch [3599]/[3759] Speed: 119.800359 samples/sec accuracy=32.075955 loss=3.083381 lr=0.079508 Epoch[026] Batch [3649]/[3759] Speed: 119.658115 samples/sec accuracy=32.080908 loss=3.083375 lr=0.079547 Epoch[026] Batch [3699]/[3759] Speed: 119.982709 samples/sec accuracy=32.078547 loss=3.083559 lr=0.079586 Epoch[026] Batch [3749]/[3759] Speed: 123.687737 samples/sec accuracy=32.086667 loss=3.082873 lr=0.079624 Batch [0049]/[0303]: acc-top1=33.375000 acc-top5=59.218750 Batch [0099]/[0303]: acc-top1=30.921875 acc-top5=56.453125 Batch [0149]/[0303]: acc-top1=32.916667 acc-top5=58.083333 Batch [0199]/[0303]: acc-top1=35.492188 acc-top5=60.953125 Batch [0249]/[0303]: acc-top1=34.700000 acc-top5=60.825000 Batch [0299]/[0303]: acc-top1=33.968750 acc-top5=60.739583 [Epoch 026] training: accuracy=32.095055 loss=3.082601 [Epoch 026] speed: 118 samples/sec time cost: 2143.017125 [Epoch 026] validation: acc-top1=33.905734 acc-top5=60.689975 loss=3.034118 Epoch[027] Batch [0049]/[3760] Speed: 88.249028 samples/sec accuracy=33.156250 loss=3.011211 lr=0.079670 Epoch[027] Batch [0099]/[3760] Speed: 119.562646 samples/sec accuracy=32.578125 loss=3.036189 lr=0.079709 Epoch[027] Batch [0149]/[3760] Speed: 119.837739 samples/sec accuracy=32.854167 loss=3.024022 lr=0.079748 Epoch[027] Batch [0199]/[3760] Speed: 119.842142 samples/sec accuracy=32.914062 loss=3.023201 lr=0.079786 Epoch[027] Batch [0249]/[3760] Speed: 119.583361 samples/sec accuracy=32.475000 loss=3.043460 lr=0.079825 Epoch[027] Batch [0299]/[3760] Speed: 118.856728 samples/sec accuracy=32.536458 loss=3.056006 lr=0.079864 Epoch[027] Batch [0349]/[3760] Speed: 119.358614 samples/sec accuracy=32.651786 loss=3.049641 lr=0.079903 Epoch[027] Batch [0399]/[3760] Speed: 119.883312 samples/sec accuracy=32.570312 loss=3.050694 lr=0.079941 Epoch[027] Batch [0449]/[3760] Speed: 118.351742 samples/sec accuracy=32.659722 loss=3.054100 lr=0.079980 Epoch[027] Batch [0499]/[3760] Speed: 119.334248 samples/sec accuracy=32.562500 loss=3.057711 lr=0.080019 Epoch[027] Batch [0549]/[3760] 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accuracy=32.434375 loss=3.065610 lr=0.080406 Epoch[027] Batch [1049]/[3760] Speed: 119.520883 samples/sec accuracy=32.485119 loss=3.064761 lr=0.080445 Epoch[027] Batch [1099]/[3760] Speed: 119.272876 samples/sec accuracy=32.444602 loss=3.067066 lr=0.080484 Epoch[027] Batch [1149]/[3760] Speed: 119.330132 samples/sec accuracy=32.432065 loss=3.068704 lr=0.080522 Epoch[027] Batch [1199]/[3760] Speed: 118.692099 samples/sec accuracy=32.408854 loss=3.070724 lr=0.080561 Epoch[027] Batch [1249]/[3760] Speed: 119.114646 samples/sec accuracy=32.398750 loss=3.070686 lr=0.080600 Epoch[027] Batch [1299]/[3760] Speed: 119.195885 samples/sec accuracy=32.423077 loss=3.071029 lr=0.080638 Epoch[027] Batch [1349]/[3760] Speed: 118.858268 samples/sec accuracy=32.388889 loss=3.071824 lr=0.080677 Epoch[027] Batch [1399]/[3760] Speed: 119.115697 samples/sec accuracy=32.376116 loss=3.071363 lr=0.080716 Epoch[027] Batch [1449]/[3760] Speed: 119.288795 samples/sec accuracy=32.376078 loss=3.070972 lr=0.080755 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loss=3.074456 lr=0.081491 Epoch[027] Batch [2449]/[3760] Speed: 119.159623 samples/sec accuracy=32.287628 loss=3.076398 lr=0.081529 Epoch[027] Batch [2499]/[3760] Speed: 119.401274 samples/sec accuracy=32.286875 loss=3.075799 lr=0.081568 Epoch[027] Batch [2549]/[3760] Speed: 118.564404 samples/sec accuracy=32.288603 loss=3.076525 lr=0.081607 Epoch[027] Batch [2599]/[3760] Speed: 119.514573 samples/sec accuracy=32.253005 loss=3.077608 lr=0.081645 Epoch[027] Batch [2649]/[3760] Speed: 119.681354 samples/sec accuracy=32.232901 loss=3.078387 lr=0.081684 Epoch[027] Batch [2699]/[3760] Speed: 119.646035 samples/sec accuracy=32.232060 loss=3.078605 lr=0.081723 Epoch[027] Batch [2749]/[3760] Speed: 119.608102 samples/sec accuracy=32.227841 loss=3.078937 lr=0.081762 Epoch[027] Batch [2799]/[3760] Speed: 119.697557 samples/sec accuracy=32.216518 loss=3.079193 lr=0.081800 Epoch[027] Batch [2849]/[3760] Speed: 119.196678 samples/sec accuracy=32.188048 loss=3.080965 lr=0.081839 Epoch[027] Batch 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accuracy=32.170709 loss=3.081143 lr=0.082226 Epoch[027] Batch [3399]/[3760] Speed: 119.454377 samples/sec accuracy=32.175551 loss=3.080718 lr=0.082265 Epoch[027] Batch [3449]/[3760] Speed: 118.781305 samples/sec accuracy=32.161685 loss=3.081062 lr=0.082304 Epoch[027] Batch [3499]/[3760] Speed: 119.139825 samples/sec accuracy=32.154464 loss=3.081475 lr=0.082343 Epoch[027] Batch [3549]/[3760] Speed: 119.765384 samples/sec accuracy=32.141725 loss=3.082372 lr=0.082381 Epoch[027] Batch [3599]/[3760] Speed: 119.696537 samples/sec accuracy=32.140625 loss=3.081909 lr=0.082420 Epoch[027] Batch [3649]/[3760] Speed: 119.069456 samples/sec accuracy=32.137414 loss=3.081478 lr=0.082459 Epoch[027] Batch [3699]/[3760] Speed: 118.821676 samples/sec accuracy=32.124155 loss=3.082394 lr=0.082498 Epoch[027] Batch [3749]/[3760] Speed: 122.747622 samples/sec accuracy=32.126667 loss=3.082711 lr=0.082536 Batch [0049]/[0303]: acc-top1=31.093750 acc-top5=57.187500 Batch [0099]/[0303]: acc-top1=28.234375 acc-top5=54.171875 Batch [0149]/[0303]: acc-top1=28.989583 acc-top5=55.375000 Batch [0199]/[0303]: acc-top1=31.859375 acc-top5=58.132812 Batch [0249]/[0303]: acc-top1=30.706250 acc-top5=57.562500 Batch [0299]/[0303]: acc-top1=30.161458 acc-top5=57.734375 [Epoch 027] training: accuracy=32.132231 loss=3.082766 [Epoch 027] speed: 118 samples/sec time cost: 2145.569798 [Epoch 027] validation: acc-top1=30.259901 acc-top5=57.781559 loss=3.368679 Epoch[028] Batch [0049]/[3760] Speed: 88.601822 samples/sec accuracy=31.750000 loss=3.059662 lr=0.082583 Epoch[028] Batch [0099]/[3760] Speed: 119.559821 samples/sec accuracy=32.734375 loss=3.033680 lr=0.082621 Epoch[028] Batch [0149]/[3760] Speed: 119.279660 samples/sec accuracy=32.354167 loss=3.051174 lr=0.082660 Epoch[028] Batch [0199]/[3760] Speed: 119.551011 samples/sec accuracy=32.359375 loss=3.048124 lr=0.082699 Epoch[028] Batch [0249]/[3760] Speed: 119.301042 samples/sec accuracy=32.331250 loss=3.064731 lr=0.082738 Epoch[028] Batch 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accuracy=32.466667 loss=3.065165 lr=0.083125 Epoch[028] Batch [0799]/[3760] Speed: 119.250769 samples/sec accuracy=32.511719 loss=3.064537 lr=0.083164 Epoch[028] Batch [0849]/[3760] Speed: 119.755843 samples/sec accuracy=32.472426 loss=3.066663 lr=0.083202 Epoch[028] Batch [0899]/[3760] Speed: 119.680343 samples/sec accuracy=32.506944 loss=3.063731 lr=0.083241 Epoch[028] Batch [0949]/[3760] Speed: 119.340652 samples/sec accuracy=32.470395 loss=3.064696 lr=0.083280 Epoch[028] Batch [0999]/[3760] Speed: 119.695742 samples/sec accuracy=32.454687 loss=3.066874 lr=0.083319 Epoch[028] Batch [1049]/[3760] Speed: 119.350195 samples/sec accuracy=32.514881 loss=3.065812 lr=0.083357 Epoch[028] Batch [1099]/[3760] Speed: 119.441088 samples/sec accuracy=32.559659 loss=3.064838 lr=0.083396 Epoch[028] Batch [1149]/[3760] Speed: 118.747181 samples/sec accuracy=32.540761 loss=3.065794 lr=0.083435 Epoch[028] Batch [1199]/[3760] Speed: 118.321968 samples/sec accuracy=32.514323 loss=3.066951 lr=0.083474 Epoch[028] Batch [1249]/[3760] Speed: 118.860390 samples/sec accuracy=32.493750 loss=3.067799 lr=0.083512 Epoch[028] Batch [1299]/[3760] Speed: 119.496635 samples/sec accuracy=32.486779 loss=3.066549 lr=0.083551 Epoch[028] Batch [1349]/[3760] Speed: 118.930085 samples/sec accuracy=32.445602 loss=3.067120 lr=0.083590 Epoch[028] Batch [1399]/[3760] Speed: 119.463274 samples/sec accuracy=32.448661 loss=3.066452 lr=0.083628 Epoch[028] Batch [1449]/[3760] Speed: 119.224249 samples/sec accuracy=32.427802 loss=3.067634 lr=0.083667 Epoch[028] Batch [1499]/[3760] Speed: 119.508987 samples/sec accuracy=32.408333 loss=3.067787 lr=0.083706 Epoch[028] Batch [1549]/[3760] Speed: 120.174537 samples/sec accuracy=32.380040 loss=3.068113 lr=0.083745 Epoch[028] Batch [1599]/[3760] Speed: 119.302473 samples/sec accuracy=32.369141 loss=3.067132 lr=0.083783 Epoch[028] Batch [1649]/[3760] Speed: 119.473807 samples/sec accuracy=32.395833 loss=3.066527 lr=0.083822 Epoch[028] Batch [1699]/[3760] Speed: 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loss=3.067381 lr=0.084209 Epoch[028] Batch [2199]/[3760] Speed: 118.756361 samples/sec accuracy=32.307528 loss=3.066772 lr=0.084248 Epoch[028] Batch [2249]/[3760] Speed: 119.053502 samples/sec accuracy=32.272222 loss=3.067764 lr=0.084287 Epoch[028] Batch [2299]/[3760] Speed: 119.189570 samples/sec accuracy=32.264946 loss=3.067468 lr=0.084326 Epoch[028] Batch [2349]/[3760] Speed: 118.374502 samples/sec accuracy=32.226729 loss=3.068330 lr=0.084364 Epoch[028] Batch [2399]/[3760] Speed: 119.185787 samples/sec accuracy=32.226562 loss=3.068598 lr=0.084403 Epoch[028] Batch [2449]/[3760] Speed: 118.698698 samples/sec accuracy=32.213648 loss=3.068703 lr=0.084442 Epoch[028] Batch [2499]/[3760] Speed: 119.668235 samples/sec accuracy=32.208125 loss=3.068866 lr=0.084481 Epoch[028] Batch [2549]/[3760] Speed: 118.633777 samples/sec accuracy=32.167892 loss=3.069834 lr=0.084519 Epoch[028] Batch [2599]/[3760] Speed: 119.515618 samples/sec accuracy=32.160457 loss=3.071266 lr=0.084558 Epoch[028] Batch 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accuracy=32.119960 loss=3.076384 lr=0.084945 Epoch[028] Batch [3149]/[3760] Speed: 120.124445 samples/sec accuracy=32.116567 loss=3.076597 lr=0.084984 Epoch[028] Batch [3199]/[3760] Speed: 118.789336 samples/sec accuracy=32.102051 loss=3.077234 lr=0.085023 Epoch[028] Batch [3249]/[3760] Speed: 120.415001 samples/sec accuracy=32.112981 loss=3.077252 lr=0.085061 Epoch[028] Batch [3299]/[3760] Speed: 120.422833 samples/sec accuracy=32.096591 loss=3.077882 lr=0.085100 Epoch[028] Batch [3349]/[3760] Speed: 119.751092 samples/sec accuracy=32.086754 loss=3.078059 lr=0.085139 Epoch[028] Batch [3399]/[3760] Speed: 119.763579 samples/sec accuracy=32.089614 loss=3.078136 lr=0.085178 Epoch[028] Batch [3449]/[3760] Speed: 118.756176 samples/sec accuracy=32.118659 loss=3.076596 lr=0.085216 Epoch[028] Batch [3499]/[3760] Speed: 119.638757 samples/sec accuracy=32.105804 loss=3.077855 lr=0.085255 Epoch[028] Batch [3549]/[3760] Speed: 118.721300 samples/sec accuracy=32.111796 loss=3.078091 lr=0.085294 Epoch[028] Batch [3599]/[3760] Speed: 119.523958 samples/sec accuracy=32.111111 loss=3.078663 lr=0.085333 Epoch[028] Batch [3649]/[3760] Speed: 119.578066 samples/sec accuracy=32.124144 loss=3.078611 lr=0.085371 Epoch[028] Batch [3699]/[3760] Speed: 119.674366 samples/sec accuracy=32.126689 loss=3.078927 lr=0.085410 Epoch[028] Batch [3749]/[3760] Speed: 123.873428 samples/sec accuracy=32.130833 loss=3.079316 lr=0.085449 Batch [0049]/[0303]: acc-top1=33.000000 acc-top5=61.312500 Batch [0099]/[0303]: acc-top1=31.156250 acc-top5=58.750000 Batch [0149]/[0303]: acc-top1=32.156250 acc-top5=59.583333 Batch [0199]/[0303]: acc-top1=34.914062 acc-top5=61.828125 Batch [0249]/[0303]: acc-top1=34.325000 acc-top5=61.393750 Batch [0299]/[0303]: acc-top1=33.354167 acc-top5=61.307292 [Epoch 028] training: accuracy=32.124751 loss=3.079255 [Epoch 028] speed: 118 samples/sec time cost: 2143.376658 [Epoch 028] validation: acc-top1=33.415842 acc-top5=61.365512 loss=3.055056 Epoch[029] Batch [0049]/[3759] Speed: 88.257806 samples/sec accuracy=33.000000 loss=3.031553 lr=0.085495 Epoch[029] Batch [0099]/[3759] Speed: 119.356590 samples/sec accuracy=32.593750 loss=3.030973 lr=0.085534 Epoch[029] Batch [0149]/[3759] Speed: 119.751063 samples/sec accuracy=32.875000 loss=3.039985 lr=0.085573 Epoch[029] Batch [0199]/[3759] Speed: 118.883707 samples/sec accuracy=32.500000 loss=3.056061 lr=0.085611 Epoch[029] Batch [0249]/[3759] Speed: 120.275248 samples/sec accuracy=32.431250 loss=3.060209 lr=0.085650 Epoch[029] Batch [0299]/[3759] Speed: 119.538343 samples/sec accuracy=32.432292 loss=3.069054 lr=0.085689 Epoch[029] Batch [0349]/[3759] Speed: 119.732703 samples/sec accuracy=32.656250 loss=3.061596 lr=0.085728 Epoch[029] Batch [0399]/[3759] Speed: 119.534638 samples/sec accuracy=32.511719 loss=3.066950 lr=0.085766 Epoch[029] Batch [0449]/[3759] Speed: 119.646111 samples/sec accuracy=32.576389 loss=3.061218 lr=0.085805 Epoch[029] Batch [0499]/[3759] Speed: 118.995571 samples/sec accuracy=32.509375 loss=3.063854 lr=0.085844 Epoch[029] Batch [0549]/[3759] Speed: 118.480711 samples/sec accuracy=32.556818 loss=3.060085 lr=0.085883 Epoch[029] Batch [0599]/[3759] Speed: 119.192186 samples/sec accuracy=32.619792 loss=3.059047 lr=0.085921 Epoch[029] Batch [0649]/[3759] Speed: 119.525639 samples/sec accuracy=32.507212 loss=3.059896 lr=0.085960 Epoch[029] Batch [0699]/[3759] Speed: 119.155017 samples/sec accuracy=32.488839 loss=3.063162 lr=0.085999 Epoch[029] Batch [0749]/[3759] Speed: 119.930139 samples/sec accuracy=32.508333 loss=3.064476 lr=0.086038 Epoch[029] Batch [0799]/[3759] Speed: 119.885085 samples/sec accuracy=32.425781 loss=3.068834 lr=0.086076 Epoch[029] Batch [0849]/[3759] Speed: 119.009549 samples/sec accuracy=32.448529 loss=3.065232 lr=0.086115 Epoch[029] Batch [0899]/[3759] Speed: 119.564546 samples/sec accuracy=32.479167 loss=3.065031 lr=0.086154 Epoch[029] Batch [0949]/[3759] Speed: 119.810722 samples/sec accuracy=32.412829 loss=3.066547 lr=0.086192 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accuracy=32.272478 loss=3.075035 lr=0.087664 Epoch[029] Batch [2899]/[3759] Speed: 119.125606 samples/sec accuracy=32.268319 loss=3.075632 lr=0.087703 Epoch[029] Batch [2949]/[3759] Speed: 119.381302 samples/sec accuracy=32.247881 loss=3.076416 lr=0.087742 Epoch[029] Batch [2999]/[3759] Speed: 119.176826 samples/sec accuracy=32.266146 loss=3.075772 lr=0.087780 Epoch[029] Batch [3049]/[3759] Speed: 118.918609 samples/sec accuracy=32.283811 loss=3.075703 lr=0.087819 Epoch[029] Batch [3099]/[3759] Speed: 118.781593 samples/sec accuracy=32.271673 loss=3.076747 lr=0.087858 Epoch[029] Batch [3149]/[3759] Speed: 118.621611 samples/sec accuracy=32.290675 loss=3.077095 lr=0.087897 Epoch[029] Batch [3199]/[3759] Speed: 119.112055 samples/sec accuracy=32.277832 loss=3.077555 lr=0.087935 Epoch[029] Batch [3249]/[3759] Speed: 119.629899 samples/sec accuracy=32.276442 loss=3.077733 lr=0.087974 Epoch[029] Batch [3299]/[3759] Speed: 118.306756 samples/sec accuracy=32.276989 loss=3.077277 lr=0.088013 Epoch[029] Batch [3349]/[3759] Speed: 120.169047 samples/sec accuracy=32.265858 loss=3.077526 lr=0.088052 Epoch[029] Batch [3399]/[3759] Speed: 118.804815 samples/sec accuracy=32.245404 loss=3.078644 lr=0.088090 Epoch[029] Batch [3449]/[3759] Speed: 119.018397 samples/sec accuracy=32.241395 loss=3.079406 lr=0.088129 Epoch[029] Batch [3499]/[3759] Speed: 118.740416 samples/sec accuracy=32.230804 loss=3.080222 lr=0.088168 Epoch[029] Batch [3549]/[3759] Speed: 119.014243 samples/sec accuracy=32.227993 loss=3.079942 lr=0.088206 Epoch[029] Batch [3599]/[3759] Speed: 119.485296 samples/sec accuracy=32.207031 loss=3.080946 lr=0.088245 Epoch[029] Batch [3649]/[3759] Speed: 119.521438 samples/sec accuracy=32.209760 loss=3.080511 lr=0.088284 Epoch[029] Batch [3699]/[3759] Speed: 119.740183 samples/sec accuracy=32.204814 loss=3.081794 lr=0.088323 Epoch[029] Batch [3749]/[3759] Speed: 123.214268 samples/sec accuracy=32.197917 loss=3.082298 lr=0.088361 Batch [0049]/[0303]: acc-top1=35.375000 acc-top5=60.500000 Batch [0099]/[0303]: acc-top1=31.234375 acc-top5=57.765625 Batch [0149]/[0303]: acc-top1=32.281250 acc-top5=58.729167 Batch [0199]/[0303]: acc-top1=34.578125 acc-top5=60.914062 Batch [0249]/[0303]: acc-top1=34.018750 acc-top5=60.937500 Batch [0299]/[0303]: acc-top1=33.619792 acc-top5=60.848958 [Epoch 029] training: accuracy=32.197725 loss=3.082625 [Epoch 029] speed: 118 samples/sec time cost: 2144.270817 [Epoch 029] validation: acc-top1=33.606642 acc-top5=60.787954 loss=3.122388 Epoch[030] Batch [0049]/[3760] Speed: 88.736923 samples/sec accuracy=33.218750 loss=3.013058 lr=0.088407 Epoch[030] Batch [0099]/[3760] Speed: 120.019971 samples/sec accuracy=32.890625 loss=3.046306 lr=0.088446 Epoch[030] Batch [0149]/[3760] Speed: 119.681627 samples/sec accuracy=32.177083 loss=3.071000 lr=0.088485 Epoch[030] Batch [0199]/[3760] Speed: 119.720720 samples/sec accuracy=32.507812 loss=3.056591 lr=0.088523 Epoch[030] Batch [0249]/[3760] Speed: 119.810855 samples/sec accuracy=32.493750 loss=3.053371 lr=0.088562 Epoch[030] Batch [0299]/[3760] Speed: 119.208644 samples/sec accuracy=32.708333 loss=3.049134 lr=0.088601 Epoch[030] Batch [0349]/[3760] Speed: 119.548673 samples/sec accuracy=32.638393 loss=3.049483 lr=0.088639 Epoch[030] Batch [0399]/[3760] Speed: 120.537966 samples/sec accuracy=32.714844 loss=3.045348 lr=0.088678 Epoch[030] Batch [0449]/[3760] Speed: 119.264815 samples/sec accuracy=32.493056 loss=3.058498 lr=0.088717 Epoch[030] Batch [0499]/[3760] Speed: 120.060610 samples/sec accuracy=32.487500 loss=3.063379 lr=0.088756 Epoch[030] Batch [0549]/[3760] Speed: 119.036261 samples/sec accuracy=32.508523 loss=3.062950 lr=0.088794 Epoch[030] Batch [0599]/[3760] Speed: 119.644222 samples/sec accuracy=32.578125 loss=3.062731 lr=0.088833 Epoch[030] Batch [0649]/[3760] Speed: 119.708227 samples/sec accuracy=32.663462 loss=3.058331 lr=0.088872 Epoch[030] Batch [0699]/[3760] Speed: 119.003657 samples/sec accuracy=32.651786 loss=3.059471 lr=0.088911 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loss=3.072195 lr=0.089646 Epoch[030] Batch [1699]/[3760] Speed: 119.598326 samples/sec accuracy=32.477941 loss=3.071501 lr=0.089685 Epoch[030] Batch [1749]/[3760] Speed: 118.967333 samples/sec accuracy=32.470536 loss=3.071308 lr=0.089724 Epoch[030] Batch [1799]/[3760] Speed: 118.810347 samples/sec accuracy=32.439236 loss=3.071830 lr=0.089763 Epoch[030] Batch [1849]/[3760] Speed: 119.218310 samples/sec accuracy=32.427365 loss=3.073760 lr=0.089801 Epoch[030] Batch [1899]/[3760] Speed: 119.181338 samples/sec accuracy=32.382401 loss=3.076980 lr=0.089840 Epoch[030] Batch [1949]/[3760] Speed: 119.208791 samples/sec accuracy=32.391827 loss=3.076879 lr=0.089879 Epoch[030] Batch [1999]/[3760] Speed: 119.538383 samples/sec accuracy=32.368750 loss=3.079498 lr=0.089918 Epoch[030] Batch [2049]/[3760] Speed: 119.519804 samples/sec accuracy=32.345274 loss=3.080408 lr=0.089956 Epoch[030] Batch [2099]/[3760] Speed: 118.800888 samples/sec accuracy=32.329613 loss=3.081345 lr=0.089995 Epoch[030] Batch 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accuracy=32.317308 loss=3.081901 lr=0.090382 Epoch[030] Batch [2649]/[3760] Speed: 119.583828 samples/sec accuracy=32.329599 loss=3.081384 lr=0.090421 Epoch[030] Batch [2699]/[3760] Speed: 119.879598 samples/sec accuracy=32.323495 loss=3.081033 lr=0.090460 Epoch[030] Batch [2749]/[3760] Speed: 119.789315 samples/sec accuracy=32.298864 loss=3.082064 lr=0.090499 Epoch[030] Batch [2799]/[3760] Speed: 118.724464 samples/sec accuracy=32.274554 loss=3.082946 lr=0.090537 Epoch[030] Batch [2849]/[3760] Speed: 119.847519 samples/sec accuracy=32.257127 loss=3.083018 lr=0.090576 Epoch[030] Batch [2899]/[3760] Speed: 119.049334 samples/sec accuracy=32.231142 loss=3.084079 lr=0.090615 Epoch[030] Batch [2949]/[3760] Speed: 118.961180 samples/sec accuracy=32.224047 loss=3.084435 lr=0.090653 Epoch[030] Batch [2999]/[3760] Speed: 119.698400 samples/sec accuracy=32.215104 loss=3.084169 lr=0.090692 Epoch[030] Batch [3049]/[3760] Speed: 119.656643 samples/sec accuracy=32.199283 loss=3.084642 lr=0.090731 Epoch[030] Batch [3099]/[3760] Speed: 119.163912 samples/sec accuracy=32.212702 loss=3.084647 lr=0.090770 Epoch[030] Batch [3149]/[3760] Speed: 119.612349 samples/sec accuracy=32.208829 loss=3.084666 lr=0.090808 Epoch[030] Batch [3199]/[3760] Speed: 118.198136 samples/sec accuracy=32.191406 loss=3.084885 lr=0.090847 Epoch[030] Batch [3249]/[3760] Speed: 118.612270 samples/sec accuracy=32.190385 loss=3.085016 lr=0.090886 Epoch[030] Batch [3299]/[3760] Speed: 118.509475 samples/sec accuracy=32.184186 loss=3.085436 lr=0.090925 Epoch[030] Batch [3349]/[3760] Speed: 118.976898 samples/sec accuracy=32.155317 loss=3.086661 lr=0.090963 Epoch[030] Batch [3399]/[3760] Speed: 120.367875 samples/sec accuracy=32.170496 loss=3.086099 lr=0.091002 Epoch[030] Batch [3449]/[3760] Speed: 119.220477 samples/sec accuracy=32.171649 loss=3.086056 lr=0.091041 Epoch[030] Batch [3499]/[3760] Speed: 118.508554 samples/sec accuracy=32.157589 loss=3.087109 lr=0.091080 Epoch[030] Batch [3549]/[3760] Speed: 119.493027 samples/sec accuracy=32.148768 loss=3.087276 lr=0.091118 Epoch[030] Batch [3599]/[3760] Speed: 119.338754 samples/sec accuracy=32.137153 loss=3.087741 lr=0.091157 Epoch[030] Batch [3649]/[3760] Speed: 120.506015 samples/sec accuracy=32.152825 loss=3.086909 lr=0.091196 Epoch[030] Batch [3699]/[3760] Speed: 119.470027 samples/sec accuracy=32.144426 loss=3.087610 lr=0.091234 Epoch[030] Batch [3749]/[3760] Speed: 123.975514 samples/sec accuracy=32.132917 loss=3.087888 lr=0.091273 Batch [0049]/[0303]: acc-top1=29.937500 acc-top5=56.031250 Batch [0099]/[0303]: acc-top1=28.187500 acc-top5=55.031250 Batch [0149]/[0303]: acc-top1=30.364583 acc-top5=56.614583 Batch [0199]/[0303]: acc-top1=33.085938 acc-top5=58.898438 Batch [0249]/[0303]: acc-top1=32.262500 acc-top5=59.006250 Batch [0299]/[0303]: acc-top1=32.041667 acc-top5=59.119792 [Epoch 030] training: accuracy=32.133893 loss=3.087835 [Epoch 030] speed: 118 samples/sec time cost: 2143.325943 [Epoch 030] validation: acc-top1=32.023515 acc-top5=59.189356 loss=3.307856 Epoch[031] Batch [0049]/[3760] Speed: 89.073885 samples/sec accuracy=31.843750 loss=3.074136 lr=0.091320 Epoch[031] Batch [0099]/[3760] Speed: 118.814188 samples/sec accuracy=32.984375 loss=3.052326 lr=0.091358 Epoch[031] Batch [0149]/[3760] Speed: 119.377702 samples/sec accuracy=33.312500 loss=3.032496 lr=0.091397 Epoch[031] Batch [0199]/[3760] Speed: 119.116095 samples/sec accuracy=33.070312 loss=3.037702 lr=0.091436 Epoch[031] Batch [0249]/[3760] Speed: 119.600980 samples/sec accuracy=32.918750 loss=3.042100 lr=0.091475 Epoch[031] Batch [0299]/[3760] Speed: 118.911331 samples/sec accuracy=32.885417 loss=3.045770 lr=0.091513 Epoch[031] Batch [0349]/[3760] Speed: 118.524923 samples/sec accuracy=32.870536 loss=3.037207 lr=0.091552 Epoch[031] Batch [0399]/[3760] Speed: 119.379379 samples/sec accuracy=32.617188 loss=3.052041 lr=0.091591 Epoch[031] Batch [0449]/[3760] Speed: 119.222749 samples/sec accuracy=32.510417 loss=3.056551 lr=0.091629 Epoch[031] Batch [0499]/[3760] Speed: 118.629956 samples/sec accuracy=32.553125 loss=3.055506 lr=0.091668 Epoch[031] Batch [0549]/[3760] Speed: 120.639561 samples/sec accuracy=32.488636 loss=3.057005 lr=0.091707 Epoch[031] Batch [0599]/[3760] Speed: 119.467887 samples/sec accuracy=32.419271 loss=3.060821 lr=0.091746 Epoch[031] Batch [0649]/[3760] Speed: 120.103645 samples/sec accuracy=32.391827 loss=3.062066 lr=0.091784 Epoch[031] Batch [0699]/[3760] Speed: 119.653314 samples/sec accuracy=32.477679 loss=3.059584 lr=0.091823 Epoch[031] Batch [0749]/[3760] Speed: 118.996016 samples/sec accuracy=32.468750 loss=3.059176 lr=0.091862 Epoch[031] Batch [0799]/[3760] Speed: 119.419246 samples/sec accuracy=32.458984 loss=3.058753 lr=0.091901 Epoch[031] Batch [0849]/[3760] Speed: 119.914550 samples/sec accuracy=32.556985 loss=3.052563 lr=0.091939 Epoch[031] Batch [0899]/[3760] Speed: 119.249801 samples/sec accuracy=32.446181 loss=3.057391 lr=0.091978 Epoch[031] Batch [0949]/[3760] 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accuracy=32.311384 loss=3.068433 lr=0.092365 Epoch[031] Batch [1449]/[3760] Speed: 119.455216 samples/sec accuracy=32.371767 loss=3.065046 lr=0.092404 Epoch[031] Batch [1499]/[3760] Speed: 119.595202 samples/sec accuracy=32.314583 loss=3.067515 lr=0.092443 Epoch[031] Batch [1549]/[3760] Speed: 119.616803 samples/sec accuracy=32.271169 loss=3.069399 lr=0.092482 Epoch[031] Batch [1599]/[3760] Speed: 120.338121 samples/sec accuracy=32.250000 loss=3.070500 lr=0.092520 Epoch[031] Batch [1649]/[3760] Speed: 119.334728 samples/sec accuracy=32.253788 loss=3.070339 lr=0.092559 Epoch[031] Batch [1699]/[3760] Speed: 120.339824 samples/sec accuracy=32.231618 loss=3.072031 lr=0.092598 Epoch[031] Batch [1749]/[3760] Speed: 119.191992 samples/sec accuracy=32.231250 loss=3.071234 lr=0.092636 Epoch[031] Batch [1799]/[3760] Speed: 120.125183 samples/sec accuracy=32.220486 loss=3.071464 lr=0.092675 Epoch[031] Batch [1849]/[3760] Speed: 119.847595 samples/sec accuracy=32.256757 loss=3.069444 lr=0.092714 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loss=3.080081 lr=0.093450 Epoch[031] Batch [2849]/[3760] Speed: 119.465409 samples/sec accuracy=32.203947 loss=3.079959 lr=0.093489 Epoch[031] Batch [2899]/[3760] Speed: 118.358405 samples/sec accuracy=32.217134 loss=3.080357 lr=0.093527 Epoch[031] Batch [2949]/[3760] Speed: 119.401938 samples/sec accuracy=32.201271 loss=3.080489 lr=0.093566 Epoch[031] Batch [2999]/[3760] Speed: 118.608952 samples/sec accuracy=32.201042 loss=3.081049 lr=0.093605 Epoch[031] Batch [3049]/[3760] Speed: 119.005873 samples/sec accuracy=32.194160 loss=3.081564 lr=0.093643 Epoch[031] Batch [3099]/[3760] Speed: 118.965586 samples/sec accuracy=32.193044 loss=3.081490 lr=0.093682 Epoch[031] Batch [3149]/[3760] Speed: 119.476175 samples/sec accuracy=32.180060 loss=3.081689 lr=0.093721 Epoch[031] Batch [3199]/[3760] Speed: 118.983363 samples/sec accuracy=32.160156 loss=3.082707 lr=0.093760 Epoch[031] Batch [3249]/[3760] Speed: 119.378606 samples/sec accuracy=32.135577 loss=3.083310 lr=0.093798 Epoch[031] Batch 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accuracy=32.089167 loss=3.085699 lr=0.094186 Batch [0049]/[0303]: acc-top1=32.875000 acc-top5=58.781250 Batch [0099]/[0303]: acc-top1=29.437500 acc-top5=56.218750 Batch [0149]/[0303]: acc-top1=30.291667 acc-top5=56.770833 Batch [0199]/[0303]: acc-top1=32.375000 acc-top5=58.593750 Batch [0249]/[0303]: acc-top1=31.750000 acc-top5=58.325000 Batch [0299]/[0303]: acc-top1=31.317708 acc-top5=58.567708 [Epoch 031] training: accuracy=32.086104 loss=3.085786 [Epoch 031] speed: 118 samples/sec time cost: 2143.604913 [Epoch 031] validation: acc-top1=31.394389 acc-top5=58.627269 loss=3.311180 Epoch[032] Batch [0049]/[3759] Speed: 88.157550 samples/sec accuracy=31.031250 loss=3.124079 lr=0.094232 Epoch[032] Batch [0099]/[3759] Speed: 119.445252 samples/sec accuracy=31.375000 loss=3.108259 lr=0.094271 Epoch[032] Batch [0149]/[3759] Speed: 119.603230 samples/sec accuracy=31.583333 loss=3.111754 lr=0.094310 Epoch[032] Batch [0199]/[3759] Speed: 119.638372 samples/sec accuracy=31.414062 loss=3.107156 lr=0.094348 Epoch[032] Batch [0249]/[3759] Speed: 118.932964 samples/sec accuracy=31.187500 loss=3.110679 lr=0.094387 Epoch[032] Batch [0299]/[3759] Speed: 119.716692 samples/sec accuracy=31.588542 loss=3.093631 lr=0.094426 Epoch[032] Batch [0349]/[3759] Speed: 118.904857 samples/sec accuracy=31.281250 loss=3.108958 lr=0.094465 Epoch[032] Batch [0399]/[3759] Speed: 118.895647 samples/sec accuracy=31.273438 loss=3.107945 lr=0.094503 Epoch[032] Batch [0449]/[3759] Speed: 119.444532 samples/sec accuracy=31.350694 loss=3.104139 lr=0.094542 Epoch[032] Batch [0499]/[3759] Speed: 118.973650 samples/sec accuracy=31.546875 loss=3.100911 lr=0.094581 Epoch[032] Batch [0549]/[3759] Speed: 119.460412 samples/sec accuracy=31.764205 loss=3.092652 lr=0.094620 Epoch[032] Batch [0599]/[3759] Speed: 119.245654 samples/sec accuracy=31.864583 loss=3.089784 lr=0.094658 Epoch[032] Batch [0649]/[3759] Speed: 119.889635 samples/sec accuracy=32.007212 loss=3.083681 lr=0.094697 Epoch[032] Batch [0699]/[3759] 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accuracy=31.913043 loss=3.086139 lr=0.095084 Epoch[032] Batch [1199]/[3759] Speed: 118.874399 samples/sec accuracy=31.955729 loss=3.084346 lr=0.095123 Epoch[032] Batch [1249]/[3759] Speed: 119.125901 samples/sec accuracy=31.966250 loss=3.085099 lr=0.095162 Epoch[032] Batch [1299]/[3759] Speed: 119.416470 samples/sec accuracy=31.963942 loss=3.087194 lr=0.095200 Epoch[032] Batch [1349]/[3759] Speed: 119.510636 samples/sec accuracy=31.952546 loss=3.086466 lr=0.095239 Epoch[032] Batch [1399]/[3759] Speed: 118.825192 samples/sec accuracy=31.992188 loss=3.085969 lr=0.095278 Epoch[032] Batch [1449]/[3759] Speed: 119.083198 samples/sec accuracy=32.052802 loss=3.083435 lr=0.095317 Epoch[032] Batch [1499]/[3759] Speed: 118.844896 samples/sec accuracy=32.070833 loss=3.082782 lr=0.095355 Epoch[032] Batch [1549]/[3759] Speed: 118.779941 samples/sec accuracy=32.066532 loss=3.082586 lr=0.095394 Epoch[032] Batch [1599]/[3759] Speed: 119.944922 samples/sec accuracy=32.040039 loss=3.083918 lr=0.095433 Epoch[032] Batch [1649]/[3759] Speed: 119.160123 samples/sec accuracy=31.986742 loss=3.083958 lr=0.095472 Epoch[032] Batch [1699]/[3759] Speed: 119.240579 samples/sec accuracy=32.026654 loss=3.082615 lr=0.095510 Epoch[032] Batch [1749]/[3759] Speed: 118.995906 samples/sec accuracy=32.034821 loss=3.082585 lr=0.095549 Epoch[032] Batch [1799]/[3759] Speed: 119.200848 samples/sec accuracy=32.026042 loss=3.084331 lr=0.095588 Epoch[032] Batch [1849]/[3759] Speed: 119.111691 samples/sec accuracy=32.006757 loss=3.085186 lr=0.095627 Epoch[032] Batch [1899]/[3759] Speed: 119.070545 samples/sec accuracy=32.023849 loss=3.085164 lr=0.095665 Epoch[032] Batch [1949]/[3759] Speed: 118.848985 samples/sec accuracy=32.037660 loss=3.085244 lr=0.095704 Epoch[032] Batch [1999]/[3759] Speed: 118.907633 samples/sec accuracy=31.985156 loss=3.089363 lr=0.095743 Epoch[032] Batch [2049]/[3759] Speed: 119.989764 samples/sec accuracy=32.005335 loss=3.089050 lr=0.095781 Epoch[032] Batch [2099]/[3759] Speed: 119.056987 samples/sec accuracy=32.013393 loss=3.089500 lr=0.095820 Epoch[032] Batch [2149]/[3759] Speed: 118.708350 samples/sec accuracy=31.992733 loss=3.089895 lr=0.095859 Epoch[032] Batch [2199]/[3759] Speed: 119.968659 samples/sec accuracy=32.000000 loss=3.088785 lr=0.095898 Epoch[032] Batch [2249]/[3759] Speed: 120.177506 samples/sec accuracy=31.991667 loss=3.090149 lr=0.095936 Epoch[032] Batch [2299]/[3759] Speed: 119.105770 samples/sec accuracy=31.991168 loss=3.090569 lr=0.095975 Epoch[032] Batch [2349]/[3759] Speed: 119.247778 samples/sec accuracy=31.951463 loss=3.092292 lr=0.096014 Epoch[032] Batch [2399]/[3759] Speed: 119.642934 samples/sec accuracy=31.916667 loss=3.094199 lr=0.096053 Epoch[032] Batch [2449]/[3759] Speed: 119.443569 samples/sec accuracy=31.929847 loss=3.093107 lr=0.096091 Epoch[032] Batch [2499]/[3759] Speed: 119.964706 samples/sec accuracy=31.921250 loss=3.093679 lr=0.096130 Epoch[032] Batch [2549]/[3759] Speed: 119.219477 samples/sec accuracy=31.930760 loss=3.094239 lr=0.096169 Epoch[032] Batch [2599]/[3759] Speed: 119.374894 samples/sec accuracy=31.930889 loss=3.094375 lr=0.096207 Epoch[032] Batch [2649]/[3759] Speed: 118.977847 samples/sec accuracy=31.908608 loss=3.095605 lr=0.096246 Epoch[032] Batch [2699]/[3759] Speed: 120.142580 samples/sec accuracy=31.905671 loss=3.094536 lr=0.096285 Epoch[032] Batch [2749]/[3759] Speed: 119.181838 samples/sec accuracy=31.896591 loss=3.094582 lr=0.096324 Epoch[032] Batch [2799]/[3759] Speed: 119.879861 samples/sec accuracy=31.906250 loss=3.095029 lr=0.096362 Epoch[032] Batch [2849]/[3759] Speed: 119.219846 samples/sec accuracy=31.879934 loss=3.095603 lr=0.096401 Epoch[032] Batch [2899]/[3759] Speed: 120.035586 samples/sec accuracy=31.888470 loss=3.095117 lr=0.096440 Epoch[032] Batch [2949]/[3759] Speed: 120.181584 samples/sec accuracy=31.892479 loss=3.095490 lr=0.096479 Epoch[032] Batch [2999]/[3759] Speed: 119.077148 samples/sec accuracy=31.884896 loss=3.095882 lr=0.096517 Epoch[032] Batch [3049]/[3759] Speed: 119.515911 samples/sec accuracy=31.889857 loss=3.096381 lr=0.096556 Epoch[032] Batch [3099]/[3759] Speed: 118.792396 samples/sec accuracy=31.876512 loss=3.097320 lr=0.096595 Epoch[032] Batch [3149]/[3759] Speed: 120.051416 samples/sec accuracy=31.874008 loss=3.097785 lr=0.096634 Epoch[032] Batch [3199]/[3759] Speed: 118.518589 samples/sec accuracy=31.879395 loss=3.097466 lr=0.096672 Epoch[032] Batch [3249]/[3759] Speed: 119.729817 samples/sec accuracy=31.879808 loss=3.097373 lr=0.096711 Epoch[032] Batch [3299]/[3759] Speed: 120.017912 samples/sec accuracy=31.887784 loss=3.097351 lr=0.096750 Epoch[032] Batch [3349]/[3759] Speed: 119.191412 samples/sec accuracy=31.891791 loss=3.096938 lr=0.096788 Epoch[032] Batch [3399]/[3759] Speed: 119.561850 samples/sec accuracy=31.892004 loss=3.097229 lr=0.096827 Epoch[032] Batch [3449]/[3759] Speed: 119.604315 samples/sec accuracy=31.886775 loss=3.097131 lr=0.096866 Epoch[032] Batch [3499]/[3759] Speed: 120.739706 samples/sec accuracy=31.905804 loss=3.096640 lr=0.096905 Epoch[032] Batch [3549]/[3759] Speed: 119.418290 samples/sec accuracy=31.911972 loss=3.096342 lr=0.096943 Epoch[032] Batch [3599]/[3759] Speed: 120.215805 samples/sec accuracy=31.888021 loss=3.096894 lr=0.096982 Epoch[032] Batch [3649]/[3759] Speed: 120.098779 samples/sec accuracy=31.888699 loss=3.097393 lr=0.097021 Epoch[032] Batch [3699]/[3759] Speed: 119.181763 samples/sec accuracy=31.885557 loss=3.097568 lr=0.097060 Epoch[032] Batch [3749]/[3759] Speed: 123.349461 samples/sec accuracy=31.854583 loss=3.098433 lr=0.097098 Batch [0049]/[0303]: acc-top1=32.562500 acc-top5=58.281250 Batch [0099]/[0303]: acc-top1=28.937500 acc-top5=55.562500 Batch [0149]/[0303]: acc-top1=30.833333 acc-top5=56.916667 Batch [0199]/[0303]: acc-top1=33.281250 acc-top5=59.273438 Batch [0249]/[0303]: acc-top1=32.606250 acc-top5=58.893750 Batch [0299]/[0303]: acc-top1=32.250000 acc-top5=58.963542 [Epoch 032] training: accuracy=31.859787 loss=3.098179 [Epoch 032] speed: 118 samples/sec time cost: 2142.892532 [Epoch 032] validation: acc-top1=32.219472 acc-top5=58.988243 loss=3.278943 Epoch[033] Batch [0049]/[3760] Speed: 88.665946 samples/sec accuracy=33.875000 loss=3.028917 lr=0.097144 Epoch[033] Batch [0099]/[3760] Speed: 119.568019 samples/sec accuracy=33.015625 loss=3.058603 lr=0.097183 Epoch[033] Batch [0149]/[3760] Speed: 119.750022 samples/sec accuracy=33.187500 loss=3.057353 lr=0.097221 Epoch[033] Batch [0199]/[3760] Speed: 119.577633 samples/sec accuracy=32.906250 loss=3.067943 lr=0.097260 Epoch[033] Batch [0249]/[3760] Speed: 119.705864 samples/sec accuracy=32.875000 loss=3.066332 lr=0.097299 Epoch[033] Batch [0299]/[3760] Speed: 118.674919 samples/sec accuracy=32.843750 loss=3.060489 lr=0.097338 Epoch[033] Batch [0349]/[3760] Speed: 119.677029 samples/sec accuracy=32.723214 loss=3.066315 lr=0.097376 Epoch[033] Batch [0399]/[3760] Speed: 119.299827 samples/sec accuracy=32.546875 loss=3.073940 lr=0.097415 Epoch[033] Batch [0449]/[3760] 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accuracy=32.090278 loss=3.090256 lr=0.097802 Epoch[033] Batch [0949]/[3760] Speed: 119.125571 samples/sec accuracy=32.059211 loss=3.091271 lr=0.097841 Epoch[033] Batch [0999]/[3760] Speed: 119.560369 samples/sec accuracy=32.140625 loss=3.089795 lr=0.097880 Epoch[033] Batch [1049]/[3760] Speed: 119.303250 samples/sec accuracy=32.102679 loss=3.091561 lr=0.097919 Epoch[033] Batch [1099]/[3760] Speed: 119.179593 samples/sec accuracy=32.065341 loss=3.092996 lr=0.097957 Epoch[033] Batch [1149]/[3760] Speed: 120.395760 samples/sec accuracy=32.016304 loss=3.095000 lr=0.097996 Epoch[033] Batch [1199]/[3760] Speed: 120.403033 samples/sec accuracy=31.959635 loss=3.097657 lr=0.098035 Epoch[033] Batch [1249]/[3760] Speed: 118.890277 samples/sec accuracy=31.937500 loss=3.099737 lr=0.098074 Epoch[033] Batch [1299]/[3760] Speed: 119.309815 samples/sec accuracy=31.921875 loss=3.098679 lr=0.098112 Epoch[033] Batch [1349]/[3760] Speed: 118.754399 samples/sec accuracy=31.934028 loss=3.096912 lr=0.098151 Epoch[033] Batch [1399]/[3760] Speed: 119.240053 samples/sec accuracy=31.924107 loss=3.097776 lr=0.098190 Epoch[033] Batch [1449]/[3760] Speed: 120.150712 samples/sec accuracy=31.955819 loss=3.097354 lr=0.098228 Epoch[033] Batch [1499]/[3760] Speed: 118.942378 samples/sec accuracy=31.903125 loss=3.099259 lr=0.098267 Epoch[033] Batch [1549]/[3760] Speed: 119.432459 samples/sec accuracy=31.871976 loss=3.099199 lr=0.098306 Epoch[033] Batch [1599]/[3760] Speed: 118.468491 samples/sec accuracy=31.831055 loss=3.100125 lr=0.098345 Epoch[033] Batch [1649]/[3760] Speed: 119.670817 samples/sec accuracy=31.828598 loss=3.100385 lr=0.098383 Epoch[033] Batch [1699]/[3760] Speed: 119.207028 samples/sec accuracy=31.850184 loss=3.100005 lr=0.098422 Epoch[033] Batch [1749]/[3760] Speed: 119.189342 samples/sec accuracy=31.869643 loss=3.098588 lr=0.098461 Epoch[033] Batch [1799]/[3760] Speed: 119.677613 samples/sec accuracy=31.854167 loss=3.098008 lr=0.098500 Epoch[033] Batch [1849]/[3760] Speed: 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accuracy=31.759135 loss=3.105867 lr=0.099623 Epoch[033] Batch [3299]/[3760] Speed: 119.339723 samples/sec accuracy=31.746212 loss=3.106609 lr=0.099661 Epoch[033] Batch [3349]/[3760] Speed: 119.316400 samples/sec accuracy=31.756063 loss=3.106334 lr=0.099700 Epoch[033] Batch [3399]/[3760] Speed: 119.626308 samples/sec accuracy=31.737592 loss=3.106941 lr=0.099739 Epoch[033] Batch [3449]/[3760] Speed: 119.700140 samples/sec accuracy=31.726902 loss=3.107902 lr=0.099778 Epoch[033] Batch [3499]/[3760] Speed: 119.333161 samples/sec accuracy=31.728125 loss=3.107481 lr=0.099816 Epoch[033] Batch [3549]/[3760] Speed: 119.928987 samples/sec accuracy=31.720951 loss=3.108097 lr=0.099855 Epoch[033] Batch [3599]/[3760] Speed: 119.899684 samples/sec accuracy=31.725260 loss=3.107957 lr=0.099894 Epoch[033] Batch [3649]/[3760] Speed: 118.436607 samples/sec accuracy=31.715325 loss=3.108056 lr=0.099933 Epoch[033] Batch [3699]/[3760] Speed: 118.242015 samples/sec accuracy=31.720017 loss=3.108737 lr=0.099971 Epoch[033] Batch [3749]/[3760] Speed: 122.833652 samples/sec accuracy=31.728750 loss=3.108300 lr=0.100000 Batch [0049]/[0303]: acc-top1=31.312500 acc-top5=57.093750 Batch [0099]/[0303]: acc-top1=29.437500 acc-top5=55.390625 Batch [0149]/[0303]: acc-top1=30.687500 acc-top5=56.614583 Batch [0199]/[0303]: acc-top1=32.484375 acc-top5=57.890625 Batch [0249]/[0303]: acc-top1=31.850000 acc-top5=58.037500 Batch [0299]/[0303]: acc-top1=31.031250 acc-top5=58.239583 [Epoch 033] training: accuracy=31.735372 loss=3.108046 [Epoch 033] speed: 118 samples/sec time cost: 2144.569351 [Epoch 033] validation: acc-top1=31.095297 acc-top5=58.328177 loss=3.338752 Epoch[034] Batch [0049]/[3759] Speed: 88.286383 samples/sec accuracy=33.156250 loss=3.038517 lr=0.100000 Epoch[034] Batch [0099]/[3759] Speed: 120.637766 samples/sec accuracy=33.375000 loss=3.056296 lr=0.100000 Epoch[034] Batch [0149]/[3759] Speed: 119.593053 samples/sec accuracy=32.770833 loss=3.070240 lr=0.100000 Epoch[034] Batch [0199]/[3759] 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accuracy=32.141827 loss=3.088024 lr=0.100000 Epoch[034] Batch [0699]/[3759] Speed: 119.493407 samples/sec accuracy=32.089286 loss=3.087075 lr=0.100000 Epoch[034] Batch [0749]/[3759] Speed: 119.848295 samples/sec accuracy=32.089583 loss=3.089897 lr=0.100000 Epoch[034] Batch [0799]/[3759] Speed: 119.391169 samples/sec accuracy=32.117188 loss=3.089117 lr=0.100000 Epoch[034] Batch [0849]/[3759] Speed: 119.335457 samples/sec accuracy=32.036765 loss=3.091876 lr=0.099999 Epoch[034] Batch [0899]/[3759] Speed: 118.866443 samples/sec accuracy=31.899306 loss=3.096424 lr=0.099999 Epoch[034] Batch [0949]/[3759] Speed: 119.362417 samples/sec accuracy=31.921053 loss=3.094534 lr=0.099999 Epoch[034] Batch [0999]/[3759] Speed: 118.125394 samples/sec accuracy=31.875000 loss=3.095227 lr=0.099999 Epoch[034] Batch [1049]/[3759] Speed: 118.958728 samples/sec accuracy=31.889881 loss=3.095013 lr=0.099999 Epoch[034] Batch [1099]/[3759] Speed: 119.233031 samples/sec accuracy=31.897727 loss=3.094968 lr=0.099999 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loss=3.096227 lr=0.099997 Epoch[034] Batch [2099]/[3759] Speed: 119.526325 samples/sec accuracy=31.941220 loss=3.096580 lr=0.099997 Epoch[034] Batch [2149]/[3759] Speed: 119.368336 samples/sec accuracy=31.935320 loss=3.097045 lr=0.099997 Epoch[034] Batch [2199]/[3759] Speed: 118.895769 samples/sec accuracy=31.916193 loss=3.098091 lr=0.099997 Epoch[034] Batch [2249]/[3759] Speed: 118.761119 samples/sec accuracy=31.897222 loss=3.099274 lr=0.099997 Epoch[034] Batch [2299]/[3759] Speed: 119.705983 samples/sec accuracy=31.886549 loss=3.099426 lr=0.099996 Epoch[034] Batch [2349]/[3759] Speed: 119.754656 samples/sec accuracy=31.883644 loss=3.100133 lr=0.099996 Epoch[034] Batch [2399]/[3759] Speed: 118.252938 samples/sec accuracy=31.867839 loss=3.100221 lr=0.099996 Epoch[034] Batch [2449]/[3759] Speed: 119.921941 samples/sec accuracy=31.853954 loss=3.100163 lr=0.099996 Epoch[034] Batch [2499]/[3759] Speed: 119.043258 samples/sec accuracy=31.862500 loss=3.100320 lr=0.099996 Epoch[034] Batch 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accuracy=31.924479 loss=3.099154 lr=0.099994 Epoch[034] Batch [3049]/[3759] Speed: 119.800037 samples/sec accuracy=31.894467 loss=3.100274 lr=0.099994 Epoch[034] Batch [3099]/[3759] Speed: 119.015033 samples/sec accuracy=31.900706 loss=3.100073 lr=0.099994 Epoch[034] Batch [3149]/[3759] Speed: 120.194585 samples/sec accuracy=31.911210 loss=3.100296 lr=0.099993 Epoch[034] Batch [3199]/[3759] Speed: 118.804923 samples/sec accuracy=31.912109 loss=3.100011 lr=0.099993 Epoch[034] Batch [3249]/[3759] Speed: 120.220227 samples/sec accuracy=31.916346 loss=3.100048 lr=0.099993 Epoch[034] Batch [3299]/[3759] Speed: 119.468833 samples/sec accuracy=31.892045 loss=3.101162 lr=0.099993 Epoch[034] Batch [3349]/[3759] Speed: 119.144067 samples/sec accuracy=31.898321 loss=3.101207 lr=0.099992 Epoch[034] Batch [3399]/[3759] Speed: 119.418050 samples/sec accuracy=31.926930 loss=3.100469 lr=0.099992 Epoch[034] Batch [3449]/[3759] Speed: 118.908720 samples/sec accuracy=31.925725 loss=3.100237 lr=0.099992 Epoch[034] Batch [3499]/[3759] Speed: 119.342649 samples/sec accuracy=31.946429 loss=3.099573 lr=0.099992 Epoch[034] Batch [3549]/[3759] Speed: 119.534336 samples/sec accuracy=31.918574 loss=3.100871 lr=0.099992 Epoch[034] Batch [3599]/[3759] Speed: 119.179228 samples/sec accuracy=31.919271 loss=3.100506 lr=0.099991 Epoch[034] Batch [3649]/[3759] Speed: 119.003381 samples/sec accuracy=31.907962 loss=3.100685 lr=0.099991 Epoch[034] Batch [3699]/[3759] Speed: 120.061805 samples/sec accuracy=31.905828 loss=3.100995 lr=0.099991 Epoch[034] Batch [3749]/[3759] Speed: 122.802203 samples/sec accuracy=31.898750 loss=3.101606 lr=0.099991 Batch [0049]/[0303]: acc-top1=33.468750 acc-top5=57.375000 Batch [0099]/[0303]: acc-top1=30.703125 acc-top5=56.046875 Batch [0149]/[0303]: acc-top1=32.135417 acc-top5=57.968750 Batch [0199]/[0303]: acc-top1=34.210938 acc-top5=59.664062 Batch [0249]/[0303]: acc-top1=33.531250 acc-top5=59.356250 Batch [0299]/[0303]: acc-top1=32.750000 acc-top5=59.166667 [Epoch 034] training: accuracy=31.904263 loss=3.101360 [Epoch 034] speed: 118 samples/sec time cost: 2144.195950 [Epoch 034] validation: acc-top1=32.724835 acc-top5=59.240924 loss=3.364032 Epoch[035] Batch [0049]/[3760] Speed: 88.379834 samples/sec accuracy=32.875000 loss=3.044934 lr=0.099990 Epoch[035] Batch [0099]/[3760] Speed: 119.970929 samples/sec accuracy=31.843750 loss=3.085424 lr=0.099990 Epoch[035] Batch [0149]/[3760] Speed: 119.109637 samples/sec accuracy=31.927083 loss=3.081354 lr=0.099990 Epoch[035] Batch [0199]/[3760] Speed: 119.714520 samples/sec accuracy=32.054688 loss=3.078105 lr=0.099989 Epoch[035] Batch [0249]/[3760] Speed: 119.476619 samples/sec accuracy=31.931250 loss=3.084291 lr=0.099989 Epoch[035] Batch [0299]/[3760] Speed: 119.590936 samples/sec accuracy=32.000000 loss=3.077642 lr=0.099989 Epoch[035] Batch [0349]/[3760] Speed: 119.225965 samples/sec accuracy=31.897321 loss=3.083292 lr=0.099989 Epoch[035] Batch [0399]/[3760] Speed: 119.675109 samples/sec 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119.025160 samples/sec accuracy=31.895693 loss=3.099367 lr=0.099963 Epoch[035] Batch [3749]/[3760] Speed: 122.736733 samples/sec accuracy=31.891667 loss=3.099029 lr=0.099962 Batch [0049]/[0303]: acc-top1=34.687500 acc-top5=61.875000 Batch [0099]/[0303]: acc-top1=31.937500 acc-top5=58.437500 Batch [0149]/[0303]: acc-top1=33.104167 acc-top5=59.645833 Batch [0199]/[0303]: acc-top1=35.609375 acc-top5=62.156250 Batch [0249]/[0303]: acc-top1=34.268750 acc-top5=61.587500 Batch [0299]/[0303]: acc-top1=33.390625 acc-top5=61.760417 [Epoch 035] training: accuracy=31.899102 loss=3.098805 [Epoch 035] speed: 118 samples/sec time cost: 2142.620827 [Epoch 035] validation: acc-top1=33.353960 acc-top5=61.788366 loss=3.081876 Epoch[036] Batch [0049]/[3760] Speed: 87.359837 samples/sec accuracy=33.968750 loss=3.000377 lr=0.099962 Epoch[036] Batch [0099]/[3760] Speed: 120.236128 samples/sec accuracy=33.562500 loss=3.003637 lr=0.099961 Epoch[036] Batch [0149]/[3760] Speed: 119.152237 samples/sec accuracy=32.687500 loss=3.028306 lr=0.099961 Epoch[036] Batch [0199]/[3760] Speed: 120.062704 samples/sec accuracy=32.710938 loss=3.030215 lr=0.099960 Epoch[036] Batch [0249]/[3760] Speed: 119.061456 samples/sec accuracy=32.762500 loss=3.030395 lr=0.099960 Epoch[036] Batch [0299]/[3760] Speed: 120.123697 samples/sec accuracy=32.739583 loss=3.036557 lr=0.099959 Epoch[036] Batch [0349]/[3760] Speed: 119.705903 samples/sec accuracy=32.562500 loss=3.049043 lr=0.099959 Epoch[036] Batch [0399]/[3760] Speed: 119.505246 samples/sec accuracy=32.601562 loss=3.049515 lr=0.099958 Epoch[036] Batch [0449]/[3760] Speed: 119.513470 samples/sec accuracy=32.552083 loss=3.049039 lr=0.099958 Epoch[036] Batch [0499]/[3760] Speed: 119.701528 samples/sec accuracy=32.621875 loss=3.050101 lr=0.099957 Epoch[036] Batch [0549]/[3760] Speed: 120.012095 samples/sec accuracy=32.582386 loss=3.053548 lr=0.099956 Epoch[036] Batch [0599]/[3760] Speed: 119.414438 samples/sec accuracy=32.515625 loss=3.058594 lr=0.099956 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loss=3.071164 lr=0.099945 Epoch[036] Batch [1599]/[3760] Speed: 118.940142 samples/sec accuracy=32.334961 loss=3.071031 lr=0.099944 Epoch[036] Batch [1649]/[3760] Speed: 119.463458 samples/sec accuracy=32.308712 loss=3.071442 lr=0.099944 Epoch[036] Batch [1699]/[3760] Speed: 120.289853 samples/sec accuracy=32.318934 loss=3.073428 lr=0.099943 Epoch[036] Batch [1749]/[3760] Speed: 119.014630 samples/sec accuracy=32.320536 loss=3.072883 lr=0.099943 Epoch[036] Batch [1799]/[3760] Speed: 119.384911 samples/sec accuracy=32.300347 loss=3.075782 lr=0.099942 Epoch[036] Batch [1849]/[3760] Speed: 119.466532 samples/sec accuracy=32.297297 loss=3.075904 lr=0.099941 Epoch[036] Batch [1899]/[3760] Speed: 119.352820 samples/sec accuracy=32.298520 loss=3.076585 lr=0.099941 Epoch[036] Batch [1949]/[3760] Speed: 119.868689 samples/sec accuracy=32.281250 loss=3.077375 lr=0.099940 Epoch[036] Batch [1999]/[3760] Speed: 118.793719 samples/sec accuracy=32.249219 loss=3.079033 lr=0.099939 Epoch[036] Batch 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accuracy=32.235000 loss=3.081090 lr=0.099933 Epoch[036] Batch [2549]/[3760] Speed: 119.173266 samples/sec accuracy=32.231618 loss=3.082520 lr=0.099932 Epoch[036] Batch [2599]/[3760] Speed: 119.187700 samples/sec accuracy=32.215745 loss=3.082991 lr=0.099932 Epoch[036] Batch [2649]/[3760] Speed: 118.726609 samples/sec accuracy=32.205189 loss=3.083404 lr=0.099931 Epoch[036] Batch [2699]/[3760] Speed: 118.966078 samples/sec accuracy=32.197338 loss=3.083734 lr=0.099930 Epoch[036] Batch [2749]/[3760] Speed: 119.931438 samples/sec accuracy=32.204545 loss=3.083239 lr=0.099930 Epoch[036] Batch [2799]/[3760] Speed: 119.115443 samples/sec accuracy=32.183036 loss=3.084323 lr=0.099929 Epoch[036] Batch [2849]/[3760] Speed: 119.240578 samples/sec accuracy=32.172149 loss=3.084215 lr=0.099928 Epoch[036] Batch [2899]/[3760] Speed: 118.464802 samples/sec accuracy=32.153017 loss=3.084878 lr=0.099927 Epoch[036] Batch [2949]/[3760] Speed: 119.680890 samples/sec accuracy=32.163665 loss=3.084563 lr=0.099927 Epoch[036] Batch [2999]/[3760] Speed: 118.509707 samples/sec accuracy=32.181771 loss=3.084537 lr=0.099926 Epoch[036] Batch [3049]/[3760] Speed: 119.867561 samples/sec accuracy=32.193648 loss=3.084002 lr=0.099925 Epoch[036] Batch [3099]/[3760] Speed: 119.250659 samples/sec accuracy=32.220262 loss=3.083169 lr=0.099925 Epoch[036] Batch [3149]/[3760] Speed: 119.856343 samples/sec accuracy=32.210317 loss=3.083676 lr=0.099924 Epoch[036] Batch [3199]/[3760] Speed: 119.358328 samples/sec accuracy=32.183594 loss=3.085228 lr=0.099923 Epoch[036] Batch [3249]/[3760] Speed: 118.732948 samples/sec accuracy=32.177404 loss=3.085051 lr=0.099923 Epoch[036] Batch [3299]/[3760] Speed: 120.041054 samples/sec accuracy=32.184659 loss=3.084841 lr=0.099922 Epoch[036] Batch [3349]/[3760] Speed: 120.052161 samples/sec accuracy=32.198694 loss=3.084495 lr=0.099921 Epoch[036] Batch [3399]/[3760] Speed: 119.134972 samples/sec accuracy=32.201746 loss=3.084261 lr=0.099920 Epoch[036] Batch [3449]/[3760] Speed: 119.976891 samples/sec accuracy=32.180254 loss=3.084947 lr=0.099920 Epoch[036] Batch [3499]/[3760] Speed: 120.118692 samples/sec accuracy=32.179018 loss=3.085412 lr=0.099919 Epoch[036] Batch [3549]/[3760] Speed: 119.538781 samples/sec accuracy=32.163292 loss=3.085791 lr=0.099918 Epoch[036] Batch [3599]/[3760] Speed: 119.657321 samples/sec accuracy=32.161024 loss=3.085703 lr=0.099917 Epoch[036] Batch [3649]/[3760] Speed: 120.586626 samples/sec accuracy=32.160103 loss=3.086223 lr=0.099917 Epoch[036] Batch [3699]/[3760] Speed: 120.077580 samples/sec accuracy=32.151182 loss=3.086530 lr=0.099916 Epoch[036] Batch [3749]/[3760] Speed: 123.058078 samples/sec accuracy=32.140833 loss=3.087309 lr=0.099915 Batch [0049]/[0303]: acc-top1=29.750000 acc-top5=56.812500 Batch [0099]/[0303]: acc-top1=27.312500 acc-top5=53.343750 Batch [0149]/[0303]: acc-top1=29.968750 acc-top5=55.583333 Batch [0199]/[0303]: acc-top1=32.406250 acc-top5=57.843750 Batch [0249]/[0303]: acc-top1=31.968750 acc-top5=58.243750 Batch [0299]/[0303]: acc-top1=31.416667 acc-top5=58.177083 [Epoch 036] training: accuracy=32.137633 loss=3.087581 [Epoch 036] speed: 118 samples/sec time cost: 2142.920961 [Epoch 036] validation: acc-top1=31.456271 acc-top5=58.245668 loss=3.334992 Epoch[037] Batch [0049]/[3759] Speed: 88.474255 samples/sec accuracy=32.906250 loss=3.061344 lr=0.099914 Epoch[037] Batch [0099]/[3759] Speed: 119.512127 samples/sec accuracy=32.734375 loss=3.032958 lr=0.099914 Epoch[037] Batch [0149]/[3759] Speed: 119.523759 samples/sec accuracy=32.843750 loss=3.039211 lr=0.099913 Epoch[037] Batch [0199]/[3759] Speed: 119.545220 samples/sec accuracy=32.859375 loss=3.057790 lr=0.099912 Epoch[037] Batch [0249]/[3759] Speed: 119.423762 samples/sec accuracy=32.825000 loss=3.045706 lr=0.099911 Epoch[037] Batch [0299]/[3759] Speed: 119.470230 samples/sec accuracy=32.932292 loss=3.040319 lr=0.099910 Epoch[037] Batch [0349]/[3759] Speed: 120.009942 samples/sec accuracy=33.000000 loss=3.037025 lr=0.099910 Epoch[037] 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loss=3.073536 lr=0.099851 Epoch[037] Batch [3699]/[3759] Speed: 119.139051 samples/sec accuracy=32.241132 loss=3.073878 lr=0.099850 Epoch[037] Batch [3749]/[3759] Speed: 122.263920 samples/sec accuracy=32.244167 loss=3.073575 lr=0.099849 Batch [0049]/[0303]: acc-top1=29.250000 acc-top5=55.500000 Batch [0099]/[0303]: acc-top1=28.093750 acc-top5=53.937500 Batch [0149]/[0303]: acc-top1=29.739583 acc-top5=55.093750 Batch [0199]/[0303]: acc-top1=32.062500 acc-top5=57.695312 Batch [0249]/[0303]: acc-top1=31.562500 acc-top5=57.725000 Batch [0299]/[0303]: acc-top1=30.963542 acc-top5=57.755208 [Epoch 037] training: accuracy=32.240124 loss=3.073753 [Epoch 037] speed: 118 samples/sec time cost: 2145.566159 [Epoch 037] validation: acc-top1=31.033416 acc-top5=57.776403 loss=3.369391 Epoch[038] Batch [0049]/[3760] Speed: 89.529466 samples/sec accuracy=33.312500 loss=3.020187 lr=0.099848 Epoch[038] Batch [0099]/[3760] Speed: 120.082247 samples/sec accuracy=33.046875 loss=3.031569 lr=0.099847 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loss=3.048265 lr=0.099827 Epoch[038] Batch [1099]/[3760] Speed: 119.843969 samples/sec accuracy=32.639205 loss=3.046824 lr=0.099826 Epoch[038] Batch [1149]/[3760] Speed: 119.588108 samples/sec accuracy=32.653533 loss=3.047555 lr=0.099825 Epoch[038] Batch [1199]/[3760] Speed: 119.070510 samples/sec accuracy=32.662760 loss=3.046124 lr=0.099824 Epoch[038] Batch [1249]/[3760] Speed: 118.958282 samples/sec accuracy=32.682500 loss=3.044241 lr=0.099823 Epoch[038] Batch [1299]/[3760] Speed: 119.870095 samples/sec accuracy=32.675481 loss=3.045226 lr=0.099822 Epoch[038] Batch [1349]/[3760] Speed: 119.796746 samples/sec accuracy=32.693287 loss=3.045284 lr=0.099821 Epoch[038] Batch [1399]/[3760] Speed: 118.582707 samples/sec accuracy=32.705357 loss=3.043836 lr=0.099820 Epoch[038] Batch [1449]/[3760] Speed: 119.720458 samples/sec accuracy=32.662716 loss=3.045119 lr=0.099819 Epoch[038] Batch [1499]/[3760] Speed: 119.317229 samples/sec accuracy=32.629167 loss=3.047382 lr=0.099818 Epoch[038] Batch 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accuracy=32.617969 loss=3.053060 lr=0.099806 Epoch[038] Batch [2049]/[3760] Speed: 119.816327 samples/sec accuracy=32.657774 loss=3.051580 lr=0.099805 Epoch[038] Batch [2099]/[3760] Speed: 119.557800 samples/sec accuracy=32.625000 loss=3.053529 lr=0.099804 Epoch[038] Batch [2149]/[3760] Speed: 119.482441 samples/sec accuracy=32.624273 loss=3.052866 lr=0.099803 Epoch[038] Batch [2199]/[3760] Speed: 119.992214 samples/sec accuracy=32.607244 loss=3.053652 lr=0.099802 Epoch[038] Batch [2249]/[3760] Speed: 119.258684 samples/sec accuracy=32.660417 loss=3.051758 lr=0.099801 Epoch[038] Batch [2299]/[3760] Speed: 119.787428 samples/sec accuracy=32.656250 loss=3.051791 lr=0.099800 Epoch[038] Batch [2349]/[3760] Speed: 119.663553 samples/sec accuracy=32.632979 loss=3.052923 lr=0.099798 Epoch[038] Batch [2399]/[3760] Speed: 119.309092 samples/sec accuracy=32.621094 loss=3.054061 lr=0.099797 Epoch[038] Batch [2449]/[3760] Speed: 119.268027 samples/sec accuracy=32.621811 loss=3.055651 lr=0.099796 Epoch[038] Batch [2499]/[3760] Speed: 119.562509 samples/sec accuracy=32.608750 loss=3.056704 lr=0.099795 Epoch[038] Batch [2549]/[3760] Speed: 119.232561 samples/sec accuracy=32.574755 loss=3.058215 lr=0.099794 Epoch[038] Batch [2599]/[3760] Speed: 119.234182 samples/sec accuracy=32.588341 loss=3.058218 lr=0.099793 Epoch[038] Batch [2649]/[3760] Speed: 119.266462 samples/sec accuracy=32.593160 loss=3.058544 lr=0.099791 Epoch[038] Batch [2699]/[3760] Speed: 119.240014 samples/sec accuracy=32.584491 loss=3.059352 lr=0.099790 Epoch[038] Batch [2749]/[3760] Speed: 118.986301 samples/sec accuracy=32.587500 loss=3.060257 lr=0.099789 Epoch[038] Batch [2799]/[3760] Speed: 119.764748 samples/sec accuracy=32.550781 loss=3.061686 lr=0.099788 Epoch[038] Batch [2849]/[3760] Speed: 119.342767 samples/sec accuracy=32.523575 loss=3.062489 lr=0.099787 Epoch[038] Batch [2899]/[3760] Speed: 119.231015 samples/sec accuracy=32.517780 loss=3.062704 lr=0.099786 Epoch[038] Batch [2949]/[3760] Speed: 119.428460 samples/sec accuracy=32.530720 loss=3.062939 lr=0.099784 Epoch[038] Batch [2999]/[3760] Speed: 119.448989 samples/sec accuracy=32.544271 loss=3.062264 lr=0.099783 Epoch[038] Batch [3049]/[3760] Speed: 119.194181 samples/sec accuracy=32.548668 loss=3.062896 lr=0.099782 Epoch[038] Batch [3099]/[3760] Speed: 118.864009 samples/sec accuracy=32.543851 loss=3.064165 lr=0.099781 Epoch[038] Batch [3149]/[3760] Speed: 119.239890 samples/sec accuracy=32.518353 loss=3.064834 lr=0.099780 Epoch[038] Batch [3199]/[3760] Speed: 119.739374 samples/sec accuracy=32.510254 loss=3.065427 lr=0.099778 Epoch[038] Batch [3249]/[3760] Speed: 119.244676 samples/sec accuracy=32.492788 loss=3.065709 lr=0.099777 Epoch[038] Batch [3299]/[3760] Speed: 119.083419 samples/sec accuracy=32.490530 loss=3.065662 lr=0.099776 Epoch[038] Batch [3349]/[3760] Speed: 118.816729 samples/sec accuracy=32.468750 loss=3.066062 lr=0.099775 Epoch[038] Batch [3399]/[3760] Speed: 119.639755 samples/sec accuracy=32.460938 loss=3.067069 lr=0.099773 Epoch[038] Batch [3449]/[3760] Speed: 119.148317 samples/sec accuracy=32.453351 loss=3.067301 lr=0.099772 Epoch[038] Batch [3499]/[3760] Speed: 119.220141 samples/sec accuracy=32.420089 loss=3.068213 lr=0.099771 Epoch[038] Batch [3549]/[3760] Speed: 120.204371 samples/sec accuracy=32.406250 loss=3.068507 lr=0.099770 Epoch[038] Batch [3599]/[3760] Speed: 119.104997 samples/sec accuracy=32.405816 loss=3.068562 lr=0.099768 Epoch[038] Batch [3649]/[3760] Speed: 120.526053 samples/sec accuracy=32.394264 loss=3.070202 lr=0.099767 Epoch[038] Batch [3699]/[3760] Speed: 118.666569 samples/sec accuracy=32.386402 loss=3.070478 lr=0.099766 Epoch[038] Batch [3749]/[3760] Speed: 123.092004 samples/sec accuracy=32.397917 loss=3.070946 lr=0.099765 Batch [0049]/[0303]: acc-top1=33.031250 acc-top5=60.781250 Batch [0099]/[0303]: acc-top1=30.281250 acc-top5=56.984375 Batch [0149]/[0303]: acc-top1=31.260417 acc-top5=57.854167 Batch [0199]/[0303]: acc-top1=33.921875 acc-top5=60.500000 Batch [0249]/[0303]: acc-top1=33.393750 acc-top5=60.243750 Batch [0299]/[0303]: acc-top1=32.744792 acc-top5=60.244792 [Epoch 038] training: accuracy=32.395279 loss=3.071021 [Epoch 038] speed: 118 samples/sec time cost: 2141.806657 [Epoch 038] validation: acc-top1=32.688738 acc-top5=60.169142 loss=3.228535 Epoch[039] Batch [0049]/[3760] Speed: 88.342458 samples/sec accuracy=32.625000 loss=2.995939 lr=0.099763 Epoch[039] Batch [0099]/[3760] Speed: 120.397010 samples/sec accuracy=32.781250 loss=3.016880 lr=0.099762 Epoch[039] Batch [0149]/[3760] Speed: 119.967532 samples/sec accuracy=32.468750 loss=3.024468 lr=0.099761 Epoch[039] Batch [0199]/[3760] Speed: 119.227941 samples/sec accuracy=32.742188 loss=3.022745 lr=0.099759 Epoch[039] Batch [0249]/[3760] Speed: 119.800237 samples/sec accuracy=32.962500 loss=3.019932 lr=0.099758 Epoch[039] Batch [0299]/[3760] Speed: 118.515934 samples/sec accuracy=32.765625 loss=3.037148 lr=0.099757 Epoch[039] Batch [0349]/[3760] Speed: 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loss=3.056942 lr=0.099744 Epoch[039] Batch [0849]/[3760] Speed: 119.852962 samples/sec accuracy=32.564338 loss=3.054938 lr=0.099743 Epoch[039] Batch [0899]/[3760] Speed: 120.586423 samples/sec accuracy=32.595486 loss=3.054083 lr=0.099741 Epoch[039] Batch [0949]/[3760] Speed: 119.351161 samples/sec accuracy=32.518092 loss=3.056399 lr=0.099740 Epoch[039] Batch [0999]/[3760] Speed: 119.267413 samples/sec accuracy=32.498438 loss=3.056891 lr=0.099739 Epoch[039] Batch [1049]/[3760] Speed: 119.946575 samples/sec accuracy=32.555060 loss=3.054635 lr=0.099738 Epoch[039] Batch [1099]/[3760] Speed: 119.213288 samples/sec accuracy=32.544034 loss=3.053347 lr=0.099736 Epoch[039] Batch [1149]/[3760] Speed: 119.553745 samples/sec accuracy=32.597826 loss=3.052254 lr=0.099735 Epoch[039] Batch [1199]/[3760] Speed: 119.636909 samples/sec accuracy=32.553385 loss=3.054906 lr=0.099734 Epoch[039] Batch [1249]/[3760] Speed: 120.328797 samples/sec accuracy=32.510000 loss=3.055371 lr=0.099732 Epoch[039] Batch 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accuracy=32.496429 loss=3.058008 lr=0.099719 Epoch[039] Batch [1799]/[3760] Speed: 119.414497 samples/sec accuracy=32.489583 loss=3.058320 lr=0.099717 Epoch[039] Batch [1849]/[3760] Speed: 118.717707 samples/sec accuracy=32.494932 loss=3.057822 lr=0.099716 Epoch[039] Batch [1899]/[3760] Speed: 119.307593 samples/sec accuracy=32.490954 loss=3.059292 lr=0.099715 Epoch[039] Batch [1949]/[3760] Speed: 119.390176 samples/sec accuracy=32.498397 loss=3.058662 lr=0.099713 Epoch[039] Batch [1999]/[3760] Speed: 119.395774 samples/sec accuracy=32.497656 loss=3.058521 lr=0.099712 Epoch[039] Batch [2049]/[3760] Speed: 120.040444 samples/sec accuracy=32.528963 loss=3.058071 lr=0.099710 Epoch[039] Batch [2099]/[3760] Speed: 119.453968 samples/sec accuracy=32.526786 loss=3.057760 lr=0.099709 Epoch[039] Batch [2149]/[3760] Speed: 119.481336 samples/sec accuracy=32.507267 loss=3.058494 lr=0.099708 Epoch[039] Batch [2199]/[3760] Speed: 119.779332 samples/sec accuracy=32.517756 loss=3.058229 lr=0.099706 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[3649]/[3760] Speed: 119.371758 samples/sec accuracy=32.481592 loss=3.064033 lr=0.099664 Epoch[039] Batch [3699]/[3760] Speed: 120.143196 samples/sec accuracy=32.481419 loss=3.063969 lr=0.099663 Epoch[039] Batch [3749]/[3760] Speed: 123.311457 samples/sec accuracy=32.477917 loss=3.063694 lr=0.099661 Batch [0049]/[0303]: acc-top1=32.406250 acc-top5=59.468750 Batch [0099]/[0303]: acc-top1=29.937500 acc-top5=56.343750 Batch [0149]/[0303]: acc-top1=30.947917 acc-top5=58.125000 Batch [0199]/[0303]: acc-top1=32.804688 acc-top5=59.742188 Batch [0249]/[0303]: acc-top1=32.406250 acc-top5=59.375000 Batch [0299]/[0303]: acc-top1=31.958333 acc-top5=59.583333 [Epoch 039] training: accuracy=32.475066 loss=3.063822 [Epoch 039] speed: 118 samples/sec time cost: 2142.079121 [Epoch 039] validation: acc-top1=31.997731 acc-top5=59.663779 loss=3.399773 Epoch[040] Batch [0049]/[3759] Speed: 90.243466 samples/sec accuracy=33.062500 loss=3.031702 lr=0.099660 Epoch[040] Batch [0099]/[3759] Speed: 119.354732 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accuracy=32.844792 loss=3.045884 lr=0.099615 Epoch[040] Batch [1549]/[3759] Speed: 119.018461 samples/sec accuracy=32.847782 loss=3.045457 lr=0.099613 Epoch[040] Batch [1599]/[3759] Speed: 119.255529 samples/sec accuracy=32.823242 loss=3.046751 lr=0.099611 Epoch[040] Batch [1649]/[3759] Speed: 119.315668 samples/sec accuracy=32.805871 loss=3.045413 lr=0.099610 Epoch[040] Batch [1699]/[3759] Speed: 118.992502 samples/sec accuracy=32.815257 loss=3.046097 lr=0.099608 Epoch[040] Batch [1749]/[3759] Speed: 119.673161 samples/sec accuracy=32.791071 loss=3.046285 lr=0.099607 Epoch[040] Batch [1799]/[3759] Speed: 119.006569 samples/sec accuracy=32.803819 loss=3.045677 lr=0.099605 Epoch[040] Batch [1849]/[3759] Speed: 118.833147 samples/sec accuracy=32.805743 loss=3.046572 lr=0.099603 Epoch[040] Batch [1899]/[3759] Speed: 119.628511 samples/sec accuracy=32.727796 loss=3.048899 lr=0.099602 Epoch[040] Batch [1949]/[3759] Speed: 119.515062 samples/sec accuracy=32.746795 loss=3.048078 lr=0.099600 Epoch[040] Batch [1999]/[3759] Speed: 119.440122 samples/sec accuracy=32.760937 loss=3.047949 lr=0.099599 Epoch[040] Batch [2049]/[3759] Speed: 118.933350 samples/sec accuracy=32.750000 loss=3.048035 lr=0.099597 Epoch[040] Batch [2099]/[3759] Speed: 119.124769 samples/sec accuracy=32.731399 loss=3.049179 lr=0.099595 Epoch[040] Batch [2149]/[3759] Speed: 118.649960 samples/sec accuracy=32.701308 loss=3.049989 lr=0.099594 Epoch[040] Batch [2199]/[3759] Speed: 120.085385 samples/sec accuracy=32.705966 loss=3.049187 lr=0.099592 Epoch[040] Batch [2249]/[3759] Speed: 118.847275 samples/sec accuracy=32.727083 loss=3.048233 lr=0.099590 Epoch[040] Batch [2299]/[3759] Speed: 118.956581 samples/sec accuracy=32.731658 loss=3.048685 lr=0.099589 Epoch[040] Batch [2349]/[3759] Speed: 119.589461 samples/sec accuracy=32.713431 loss=3.050436 lr=0.099587 Epoch[040] Batch [2399]/[3759] Speed: 118.982320 samples/sec accuracy=32.710938 loss=3.050906 lr=0.099585 Epoch[040] Batch [2449]/[3759] Speed: 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loss=3.056601 lr=0.099569 Epoch[040] Batch [2949]/[3759] Speed: 119.227041 samples/sec accuracy=32.609640 loss=3.057933 lr=0.099567 Epoch[040] Batch [2999]/[3759] Speed: 119.262839 samples/sec accuracy=32.607813 loss=3.058136 lr=0.099565 Epoch[040] Batch [3049]/[3759] Speed: 119.765768 samples/sec accuracy=32.591701 loss=3.058278 lr=0.099564 Epoch[040] Batch [3099]/[3759] Speed: 119.173309 samples/sec accuracy=32.583165 loss=3.058663 lr=0.099562 Epoch[040] Batch [3149]/[3759] Speed: 119.217798 samples/sec accuracy=32.552579 loss=3.059951 lr=0.099560 Epoch[040] Batch [3199]/[3759] Speed: 119.154534 samples/sec accuracy=32.546875 loss=3.059722 lr=0.099558 Epoch[040] Batch [3249]/[3759] Speed: 118.721967 samples/sec accuracy=32.538942 loss=3.061112 lr=0.099557 Epoch[040] Batch [3299]/[3759] Speed: 119.302621 samples/sec accuracy=32.528883 loss=3.061673 lr=0.099555 Epoch[040] Batch [3349]/[3759] Speed: 119.535800 samples/sec accuracy=32.509795 loss=3.062971 lr=0.099553 Epoch[040] Batch [3399]/[3759] Speed: 119.326461 samples/sec accuracy=32.521599 loss=3.062546 lr=0.099552 Epoch[040] Batch [3449]/[3759] Speed: 119.583146 samples/sec accuracy=32.515399 loss=3.063368 lr=0.099550 Epoch[040] Batch [3499]/[3759] Speed: 118.981522 samples/sec accuracy=32.529464 loss=3.063226 lr=0.099548 Epoch[040] Batch [3549]/[3759] Speed: 119.247272 samples/sec accuracy=32.534331 loss=3.063748 lr=0.099546 Epoch[040] Batch [3599]/[3759] Speed: 119.012246 samples/sec accuracy=32.543403 loss=3.063562 lr=0.099545 Epoch[040] Batch [3649]/[3759] Speed: 119.536393 samples/sec accuracy=32.562072 loss=3.062641 lr=0.099543 Epoch[040] Batch [3699]/[3759] Speed: 119.681301 samples/sec accuracy=32.557010 loss=3.062759 lr=0.099541 Epoch[040] Batch [3749]/[3759] Speed: 122.721878 samples/sec accuracy=32.545417 loss=3.062981 lr=0.099539 Batch [0049]/[0303]: acc-top1=31.062500 acc-top5=56.593750 Batch [0099]/[0303]: acc-top1=28.328125 acc-top5=54.625000 Batch [0149]/[0303]: acc-top1=30.489583 acc-top5=56.270833 Batch [0199]/[0303]: acc-top1=33.265625 acc-top5=58.656250 Batch [0249]/[0303]: acc-top1=32.618750 acc-top5=58.850000 Batch [0299]/[0303]: acc-top1=31.656250 acc-top5=58.411458 [Epoch 040] training: accuracy=32.540237 loss=3.063221 [Epoch 040] speed: 118 samples/sec time cost: 2142.921801 [Epoch 040] validation: acc-top1=31.631601 acc-top5=58.405528 loss=3.299508 Epoch[041] Batch [0049]/[3760] Speed: 88.912254 samples/sec accuracy=33.218750 loss=3.061947 lr=0.099537 Epoch[041] Batch [0099]/[3760] Speed: 118.828720 samples/sec accuracy=33.234375 loss=3.024622 lr=0.099536 Epoch[041] Batch [0149]/[3760] Speed: 119.500222 samples/sec accuracy=33.395833 loss=3.021896 lr=0.099534 Epoch[041] Batch [0199]/[3760] Speed: 119.405591 samples/sec accuracy=33.578125 loss=3.001612 lr=0.099532 Epoch[041] Batch [0249]/[3760] Speed: 119.459339 samples/sec accuracy=33.725000 loss=3.003445 lr=0.099530 Epoch[041] Batch [0299]/[3760] Speed: 118.821469 samples/sec accuracy=33.526042 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accuracy=32.830000 loss=3.036198 lr=0.099494 Epoch[041] Batch [1299]/[3760] Speed: 118.545947 samples/sec accuracy=32.818510 loss=3.036290 lr=0.099493 Epoch[041] Batch [1349]/[3760] Speed: 119.054215 samples/sec accuracy=32.771991 loss=3.037240 lr=0.099491 Epoch[041] Batch [1399]/[3760] Speed: 118.995989 samples/sec accuracy=32.763393 loss=3.038339 lr=0.099489 Epoch[041] Batch [1449]/[3760] Speed: 118.279989 samples/sec accuracy=32.790948 loss=3.036589 lr=0.099487 Epoch[041] Batch [1499]/[3760] Speed: 118.983185 samples/sec accuracy=32.787500 loss=3.036789 lr=0.099485 Epoch[041] Batch [1549]/[3760] Speed: 119.145917 samples/sec accuracy=32.809476 loss=3.035946 lr=0.099483 Epoch[041] Batch [1599]/[3760] Speed: 119.079753 samples/sec accuracy=32.833008 loss=3.037168 lr=0.099482 Epoch[041] Batch [1649]/[3760] Speed: 119.749654 samples/sec accuracy=32.829545 loss=3.037550 lr=0.099480 Epoch[041] Batch [1699]/[3760] Speed: 119.481910 samples/sec accuracy=32.874081 loss=3.037442 lr=0.099478 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accuracy=32.710938 loss=3.052645 lr=0.099405 Epoch[041] Batch [3649]/[3760] Speed: 119.355856 samples/sec accuracy=32.705479 loss=3.052673 lr=0.099403 Epoch[041] Batch [3699]/[3760] Speed: 119.600116 samples/sec accuracy=32.676098 loss=3.054161 lr=0.099401 Epoch[041] Batch [3749]/[3760] Speed: 122.600955 samples/sec accuracy=32.677917 loss=3.053898 lr=0.099399 Batch [0049]/[0303]: acc-top1=32.906250 acc-top5=58.531250 Batch [0099]/[0303]: acc-top1=30.078125 acc-top5=55.250000 Batch [0149]/[0303]: acc-top1=31.718750 acc-top5=57.072917 Batch [0199]/[0303]: acc-top1=33.851562 acc-top5=59.179688 Batch [0249]/[0303]: acc-top1=33.600000 acc-top5=59.781250 Batch [0299]/[0303]: acc-top1=32.796875 acc-top5=59.947917 [Epoch 041] training: accuracy=32.668717 loss=3.054090 [Epoch 041] speed: 118 samples/sec time cost: 2147.296256 [Epoch 041] validation: acc-top1=32.776403 acc-top5=59.998969 loss=3.174364 Epoch[042] Batch [0049]/[3760] Speed: 89.488718 samples/sec accuracy=32.656250 loss=3.038057 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accuracy=33.146875 loss=3.020657 lr=0.099358 Epoch[042] Batch [1049]/[3760] Speed: 119.004790 samples/sec accuracy=33.205357 loss=3.018079 lr=0.099356 Epoch[042] Batch [1099]/[3760] Speed: 119.214508 samples/sec accuracy=33.190341 loss=3.019312 lr=0.099354 Epoch[042] Batch [1149]/[3760] Speed: 120.474091 samples/sec accuracy=33.103261 loss=3.022001 lr=0.099352 Epoch[042] Batch [1199]/[3760] Speed: 119.522126 samples/sec accuracy=33.123698 loss=3.021297 lr=0.099350 Epoch[042] Batch [1249]/[3760] Speed: 118.931297 samples/sec accuracy=33.108750 loss=3.023571 lr=0.099348 Epoch[042] Batch [1299]/[3760] Speed: 119.578626 samples/sec accuracy=33.103365 loss=3.024567 lr=0.099345 Epoch[042] Batch [1349]/[3760] Speed: 118.499255 samples/sec accuracy=33.053241 loss=3.027345 lr=0.099343 Epoch[042] Batch [1399]/[3760] Speed: 119.247445 samples/sec accuracy=33.040179 loss=3.026805 lr=0.099341 Epoch[042] Batch [1449]/[3760] Speed: 119.344279 samples/sec accuracy=33.035560 loss=3.027743 lr=0.099339 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loss=3.043551 lr=0.099299 Epoch[042] Batch [2449]/[3760] Speed: 119.770770 samples/sec accuracy=32.833546 loss=3.045427 lr=0.099297 Epoch[042] Batch [2499]/[3760] Speed: 119.326424 samples/sec accuracy=32.816875 loss=3.046079 lr=0.099295 Epoch[042] Batch [2549]/[3760] Speed: 119.150795 samples/sec accuracy=32.806373 loss=3.046122 lr=0.099292 Epoch[042] Batch [2599]/[3760] Speed: 119.278394 samples/sec accuracy=32.808894 loss=3.046308 lr=0.099290 Epoch[042] Batch [2649]/[3760] Speed: 119.652133 samples/sec accuracy=32.798349 loss=3.046205 lr=0.099288 Epoch[042] Batch [2699]/[3760] Speed: 118.877711 samples/sec accuracy=32.791088 loss=3.045857 lr=0.099286 Epoch[042] Batch [2749]/[3760] Speed: 119.090145 samples/sec accuracy=32.790341 loss=3.045712 lr=0.099284 Epoch[042] Batch [2799]/[3760] Speed: 119.150870 samples/sec accuracy=32.807478 loss=3.044796 lr=0.099282 Epoch[042] Batch [2849]/[3760] Speed: 119.208256 samples/sec accuracy=32.779605 loss=3.045952 lr=0.099279 Epoch[042] Batch [2899]/[3760] Speed: 119.774458 samples/sec accuracy=32.771552 loss=3.046716 lr=0.099277 Epoch[042] Batch [2949]/[3760] Speed: 119.085738 samples/sec accuracy=32.766419 loss=3.045998 lr=0.099275 Epoch[042] Batch [2999]/[3760] Speed: 119.903423 samples/sec accuracy=32.737500 loss=3.047001 lr=0.099273 Epoch[042] Batch [3049]/[3760] Speed: 118.564835 samples/sec accuracy=32.704918 loss=3.048595 lr=0.099271 Epoch[042] Batch [3099]/[3760] Speed: 118.934986 samples/sec accuracy=32.694052 loss=3.049317 lr=0.099268 Epoch[042] Batch [3149]/[3760] Speed: 119.050867 samples/sec accuracy=32.686508 loss=3.049903 lr=0.099266 Epoch[042] Batch [3199]/[3760] Speed: 119.366768 samples/sec accuracy=32.659668 loss=3.051491 lr=0.099264 Epoch[042] Batch [3249]/[3760] Speed: 120.115018 samples/sec accuracy=32.669712 loss=3.051269 lr=0.099262 Epoch[042] Batch [3299]/[3760] Speed: 119.749513 samples/sec accuracy=32.693182 loss=3.050647 lr=0.099260 Epoch[042] Batch [3349]/[3760] Speed: 119.239364 samples/sec accuracy=32.683302 loss=3.050957 lr=0.099257 Epoch[042] Batch [3399]/[3760] Speed: 119.806562 samples/sec accuracy=32.702665 loss=3.050518 lr=0.099255 Epoch[042] Batch [3449]/[3760] Speed: 118.923932 samples/sec accuracy=32.702446 loss=3.050553 lr=0.099253 Epoch[042] Batch [3499]/[3760] Speed: 119.734227 samples/sec accuracy=32.703571 loss=3.050887 lr=0.099251 Epoch[042] Batch [3549]/[3760] Speed: 118.426302 samples/sec accuracy=32.706426 loss=3.050944 lr=0.099249 Epoch[042] Batch [3599]/[3760] Speed: 118.361413 samples/sec accuracy=32.713108 loss=3.051149 lr=0.099246 Epoch[042] Batch [3649]/[3760] Speed: 119.572655 samples/sec accuracy=32.717894 loss=3.050385 lr=0.099244 Epoch[042] Batch [3699]/[3760] Speed: 118.981734 samples/sec accuracy=32.734797 loss=3.049666 lr=0.099242 Epoch[042] Batch [3749]/[3760] Speed: 123.342166 samples/sec accuracy=32.737917 loss=3.049398 lr=0.099240 Batch [0049]/[0303]: acc-top1=33.000000 acc-top5=57.375000 Batch [0099]/[0303]: acc-top1=29.640625 acc-top5=54.765625 Batch [0149]/[0303]: acc-top1=31.104167 acc-top5=55.822917 Batch [0199]/[0303]: acc-top1=33.570312 acc-top5=58.468750 Batch [0249]/[0303]: acc-top1=32.981250 acc-top5=57.943750 Batch [0299]/[0303]: acc-top1=31.953125 acc-top5=57.614583 [Epoch 042] training: accuracy=32.738115 loss=3.049489 [Epoch 042] speed: 118 samples/sec time cost: 2146.093579 [Epoch 042] validation: acc-top1=31.946163 acc-top5=57.601073 loss=3.395108 Epoch[043] Batch [0049]/[3759] Speed: 88.822415 samples/sec accuracy=33.781250 loss=2.977068 lr=0.099237 Epoch[043] Batch [0099]/[3759] Speed: 119.545126 samples/sec accuracy=33.046875 loss=3.023459 lr=0.099235 Epoch[043] Batch [0149]/[3759] Speed: 120.051160 samples/sec accuracy=32.614583 loss=3.052707 lr=0.099232 Epoch[043] Batch [0199]/[3759] Speed: 119.280169 samples/sec accuracy=32.835938 loss=3.040607 lr=0.099230 Epoch[043] Batch [0249]/[3759] Speed: 118.534904 samples/sec accuracy=32.856250 loss=3.038676 lr=0.099228 Epoch[043] Batch 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accuracy=33.579167 loss=3.019527 lr=0.099205 Epoch[043] Batch [0799]/[3759] Speed: 118.843053 samples/sec accuracy=33.500000 loss=3.020810 lr=0.099203 Epoch[043] Batch [0849]/[3759] Speed: 119.947244 samples/sec accuracy=33.439338 loss=3.020692 lr=0.099201 Epoch[043] Batch [0899]/[3759] Speed: 119.177203 samples/sec accuracy=33.423611 loss=3.021315 lr=0.099198 Epoch[043] Batch [0949]/[3759] Speed: 118.545961 samples/sec accuracy=33.378289 loss=3.023885 lr=0.099196 Epoch[043] Batch [0999]/[3759] Speed: 118.551844 samples/sec accuracy=33.329687 loss=3.022612 lr=0.099194 Epoch[043] Batch [1049]/[3759] Speed: 118.698460 samples/sec accuracy=33.343750 loss=3.022935 lr=0.099191 Epoch[043] Batch [1099]/[3759] Speed: 119.412650 samples/sec accuracy=33.339489 loss=3.024067 lr=0.099189 Epoch[043] Batch [1149]/[3759] Speed: 118.825377 samples/sec accuracy=33.345109 loss=3.022905 lr=0.099187 Epoch[043] Batch [1199]/[3759] Speed: 119.241127 samples/sec accuracy=33.313802 loss=3.024055 lr=0.099184 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accuracy=32.983871 loss=3.039843 lr=0.099094 Epoch[043] Batch [3149]/[3759] Speed: 119.197515 samples/sec accuracy=32.949901 loss=3.040785 lr=0.099091 Epoch[043] Batch [3199]/[3759] Speed: 119.264872 samples/sec accuracy=32.946777 loss=3.040957 lr=0.099089 Epoch[043] Batch [3249]/[3759] Speed: 118.673244 samples/sec accuracy=32.936058 loss=3.041139 lr=0.099087 Epoch[043] Batch [3299]/[3759] Speed: 119.669349 samples/sec accuracy=32.959280 loss=3.039822 lr=0.099084 Epoch[043] Batch [3349]/[3759] Speed: 119.627472 samples/sec accuracy=32.936101 loss=3.040270 lr=0.099082 Epoch[043] Batch [3399]/[3759] Speed: 119.778492 samples/sec accuracy=32.949449 loss=3.039980 lr=0.099079 Epoch[043] Batch [3449]/[3759] Speed: 119.174678 samples/sec accuracy=32.950634 loss=3.039535 lr=0.099077 Epoch[043] Batch [3499]/[3759] Speed: 119.935068 samples/sec accuracy=32.933929 loss=3.040793 lr=0.099074 Epoch[043] Batch [3549]/[3759] Speed: 119.239501 samples/sec accuracy=32.933979 loss=3.040118 lr=0.099072 Epoch[043] Batch [3599]/[3759] Speed: 120.102095 samples/sec accuracy=32.924913 loss=3.040833 lr=0.099069 Epoch[043] Batch [3649]/[3759] Speed: 119.678373 samples/sec accuracy=32.923801 loss=3.040861 lr=0.099067 Epoch[043] Batch [3699]/[3759] Speed: 119.433084 samples/sec accuracy=32.909628 loss=3.041685 lr=0.099064 Epoch[043] Batch [3749]/[3759] Speed: 123.218099 samples/sec accuracy=32.902083 loss=3.042886 lr=0.099062 Batch [0049]/[0303]: acc-top1=32.000000 acc-top5=59.093750 Batch [0099]/[0303]: acc-top1=29.203125 acc-top5=56.734375 Batch [0149]/[0303]: acc-top1=31.197917 acc-top5=58.187500 Batch [0199]/[0303]: acc-top1=34.242188 acc-top5=60.648438 Batch [0249]/[0303]: acc-top1=33.256250 acc-top5=60.118750 Batch [0299]/[0303]: acc-top1=32.901042 acc-top5=60.187500 [Epoch 043] training: accuracy=32.900622 loss=3.042904 [Epoch 043] speed: 118 samples/sec time cost: 2143.438694 [Epoch 043] validation: acc-top1=32.858911 acc-top5=60.225866 loss=3.184671 Epoch[044] Batch [0049]/[3760] Speed: 88.044324 samples/sec accuracy=34.062500 loss=2.956167 lr=0.099059 Epoch[044] Batch [0099]/[3760] Speed: 118.766648 samples/sec accuracy=34.125000 loss=2.965014 lr=0.099056 Epoch[044] Batch [0149]/[3760] Speed: 120.105734 samples/sec accuracy=34.291667 loss=2.958116 lr=0.099054 Epoch[044] Batch [0199]/[3760] Speed: 118.861086 samples/sec accuracy=33.640625 loss=2.980051 lr=0.099051 Epoch[044] Batch [0249]/[3760] Speed: 119.307572 samples/sec accuracy=33.343750 loss=3.000195 lr=0.099049 Epoch[044] Batch [0299]/[3760] Speed: 119.469848 samples/sec accuracy=33.239583 loss=3.006904 lr=0.099046 Epoch[044] Batch [0349]/[3760] Speed: 118.698613 samples/sec accuracy=33.308036 loss=3.008531 lr=0.099044 Epoch[044] Batch [0399]/[3760] Speed: 119.733724 samples/sec accuracy=33.164062 loss=3.010077 lr=0.099041 Epoch[044] Batch [0449]/[3760] Speed: 119.378431 samples/sec accuracy=33.211806 loss=3.010279 lr=0.099039 Epoch[044] Batch [0499]/[3760] Speed: 119.133528 samples/sec accuracy=33.153125 loss=3.012354 lr=0.099036 Epoch[044] Batch [0549]/[3760] Speed: 119.657231 samples/sec accuracy=33.193182 loss=3.015585 lr=0.099034 Epoch[044] Batch [0599]/[3760] Speed: 119.706415 samples/sec accuracy=33.143229 loss=3.019192 lr=0.099031 Epoch[044] Batch [0649]/[3760] Speed: 119.574540 samples/sec accuracy=33.084135 loss=3.022687 lr=0.099029 Epoch[044] Batch [0699]/[3760] Speed: 119.378116 samples/sec accuracy=33.066964 loss=3.023887 lr=0.099026 Epoch[044] Batch [0749]/[3760] Speed: 118.810952 samples/sec accuracy=33.039583 loss=3.021823 lr=0.099024 Epoch[044] Batch [0799]/[3760] Speed: 119.739425 samples/sec accuracy=33.013672 loss=3.023226 lr=0.099021 Epoch[044] Batch [0849]/[3760] Speed: 119.371937 samples/sec accuracy=32.976103 loss=3.025793 lr=0.099019 Epoch[044] Batch [0899]/[3760] Speed: 118.547638 samples/sec accuracy=33.010417 loss=3.025460 lr=0.099016 Epoch[044] Batch [0949]/[3760] Speed: 118.798878 samples/sec accuracy=32.950658 loss=3.030166 lr=0.099014 Epoch[044] Batch [0999]/[3760] Speed: 118.864116 samples/sec accuracy=33.020312 loss=3.028312 lr=0.099011 Epoch[044] Batch [1049]/[3760] Speed: 119.618565 samples/sec accuracy=33.013393 loss=3.028300 lr=0.099008 Epoch[044] Batch [1099]/[3760] Speed: 119.656688 samples/sec accuracy=33.002841 loss=3.027442 lr=0.099006 Epoch[044] Batch [1149]/[3760] Speed: 119.581174 samples/sec accuracy=33.001359 loss=3.027537 lr=0.099003 Epoch[044] Batch [1199]/[3760] Speed: 119.394243 samples/sec accuracy=32.972656 loss=3.027568 lr=0.099001 Epoch[044] Batch [1249]/[3760] Speed: 118.711827 samples/sec accuracy=32.973750 loss=3.028068 lr=0.098998 Epoch[044] Batch [1299]/[3760] Speed: 119.355430 samples/sec accuracy=32.950721 loss=3.029625 lr=0.098996 Epoch[044] Batch [1349]/[3760] Speed: 119.295905 samples/sec accuracy=32.979167 loss=3.027274 lr=0.098993 Epoch[044] Batch [1399]/[3760] Speed: 119.939439 samples/sec accuracy=32.954241 loss=3.029273 lr=0.098990 Epoch[044] Batch [1449]/[3760] Speed: 118.865901 samples/sec accuracy=32.964440 loss=3.029453 lr=0.098988 Epoch[044] Batch [1499]/[3760] Speed: 118.460568 samples/sec accuracy=32.945833 loss=3.031178 lr=0.098985 Epoch[044] Batch [1549]/[3760] Speed: 118.787906 samples/sec accuracy=32.898185 loss=3.032381 lr=0.098983 Epoch[044] Batch [1599]/[3760] Speed: 119.020706 samples/sec accuracy=32.883789 loss=3.031988 lr=0.098980 Epoch[044] Batch [1649]/[3760] Speed: 119.727418 samples/sec accuracy=32.856061 loss=3.033910 lr=0.098978 Epoch[044] Batch [1699]/[3760] Speed: 119.773562 samples/sec accuracy=32.859375 loss=3.033555 lr=0.098975 Epoch[044] Batch [1749]/[3760] Speed: 119.376881 samples/sec accuracy=32.903571 loss=3.032586 lr=0.098972 Epoch[044] Batch [1799]/[3760] Speed: 120.149387 samples/sec accuracy=32.905382 loss=3.032657 lr=0.098970 Epoch[044] Batch [1849]/[3760] Speed: 118.846151 samples/sec accuracy=32.911318 loss=3.034006 lr=0.098967 Epoch[044] Batch [1899]/[3760] Speed: 118.578730 samples/sec accuracy=32.879934 loss=3.034905 lr=0.098964 Epoch[044] Batch [1949]/[3760] Speed: 118.975809 samples/sec accuracy=32.877404 loss=3.035146 lr=0.098962 Epoch[044] Batch [1999]/[3760] Speed: 118.630908 samples/sec accuracy=32.879687 loss=3.034921 lr=0.098959 Epoch[044] Batch [2049]/[3760] Speed: 119.111391 samples/sec accuracy=32.887195 loss=3.035443 lr=0.098957 Epoch[044] Batch [2099]/[3760] Speed: 119.497902 samples/sec accuracy=32.877976 loss=3.036417 lr=0.098954 Epoch[044] Batch [2149]/[3760] Speed: 119.456560 samples/sec accuracy=32.907703 loss=3.036606 lr=0.098951 Epoch[044] Batch [2199]/[3760] Speed: 118.838337 samples/sec accuracy=32.901989 loss=3.037599 lr=0.098949 Epoch[044] Batch [2249]/[3760] Speed: 119.810021 samples/sec accuracy=32.900694 loss=3.038340 lr=0.098946 Epoch[044] Batch [2299]/[3760] Speed: 119.491023 samples/sec accuracy=32.905571 loss=3.038500 lr=0.098944 Epoch[044] Batch [2349]/[3760] Speed: 118.808013 samples/sec accuracy=32.894947 loss=3.038623 lr=0.098941 Epoch[044] Batch 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accuracy=32.899123 loss=3.042122 lr=0.098914 Epoch[044] Batch [2899]/[3760] Speed: 119.768390 samples/sec accuracy=32.901401 loss=3.041754 lr=0.098912 Epoch[044] Batch [2949]/[3760] Speed: 119.212059 samples/sec accuracy=32.917373 loss=3.040993 lr=0.098909 Epoch[044] Batch [2999]/[3760] Speed: 119.534366 samples/sec accuracy=32.936458 loss=3.040597 lr=0.098906 Epoch[044] Batch [3049]/[3760] Speed: 118.659353 samples/sec accuracy=32.929303 loss=3.040712 lr=0.098904 Epoch[044] Batch [3099]/[3760] Speed: 119.621732 samples/sec accuracy=32.926915 loss=3.040997 lr=0.098901 Epoch[044] Batch [3149]/[3760] Speed: 119.067457 samples/sec accuracy=32.893849 loss=3.042114 lr=0.098898 Epoch[044] Batch [3199]/[3760] Speed: 119.262089 samples/sec accuracy=32.888672 loss=3.042445 lr=0.098896 Epoch[044] Batch [3249]/[3760] Speed: 119.345142 samples/sec accuracy=32.908654 loss=3.041407 lr=0.098893 Epoch[044] Batch [3299]/[3760] Speed: 119.253423 samples/sec accuracy=32.911932 loss=3.041210 lr=0.098890 Epoch[044] Batch [3349]/[3760] Speed: 118.576132 samples/sec accuracy=32.888526 loss=3.042734 lr=0.098887 Epoch[044] Batch [3399]/[3760] Speed: 119.149884 samples/sec accuracy=32.880515 loss=3.043478 lr=0.098885 Epoch[044] Batch [3449]/[3760] Speed: 118.327240 samples/sec accuracy=32.879529 loss=3.043579 lr=0.098882 Epoch[044] Batch [3499]/[3760] Speed: 118.974771 samples/sec accuracy=32.908929 loss=3.043469 lr=0.098879 Epoch[044] Batch [3549]/[3760] Speed: 120.051607 samples/sec accuracy=32.915493 loss=3.043445 lr=0.098877 Epoch[044] Batch [3599]/[3760] Speed: 118.762168 samples/sec accuracy=32.921875 loss=3.042585 lr=0.098874 Epoch[044] Batch [3649]/[3760] Speed: 118.205837 samples/sec accuracy=32.942637 loss=3.043047 lr=0.098871 Epoch[044] Batch [3699]/[3760] Speed: 119.387233 samples/sec accuracy=32.952703 loss=3.042658 lr=0.098868 Epoch[044] Batch [3749]/[3760] Speed: 122.708161 samples/sec accuracy=32.938750 loss=3.043674 lr=0.098866 Batch [0049]/[0303]: acc-top1=33.031250 acc-top5=60.500000 Batch [0099]/[0303]: acc-top1=29.906250 acc-top5=57.015625 Batch [0149]/[0303]: acc-top1=31.416667 acc-top5=58.854167 Batch [0199]/[0303]: acc-top1=34.195312 acc-top5=60.562500 Batch [0249]/[0303]: acc-top1=33.287500 acc-top5=60.606250 Batch [0299]/[0303]: acc-top1=32.630208 acc-top5=60.494792 [Epoch 044] training: accuracy=32.925532 loss=3.044196 [Epoch 044] speed: 118 samples/sec time cost: 2145.857914 [Epoch 044] validation: acc-top1=32.642327 acc-top5=60.530116 loss=3.214209 Epoch[045] Batch [0049]/[3760] Speed: 87.718877 samples/sec accuracy=33.687500 loss=3.002866 lr=0.098862 Epoch[045] Batch [0099]/[3760] Speed: 119.415320 samples/sec accuracy=33.406250 loss=2.993269 lr=0.098860 Epoch[045] Batch [0149]/[3760] Speed: 119.300173 samples/sec accuracy=33.208333 loss=3.001189 lr=0.098857 Epoch[045] Batch [0199]/[3760] Speed: 119.487227 samples/sec accuracy=33.453125 loss=2.992747 lr=0.098854 Epoch[045] Batch [0249]/[3760] Speed: 119.448576 samples/sec accuracy=33.287500 loss=2.999749 lr=0.098851 Epoch[045] Batch [0299]/[3760] Speed: 119.198473 samples/sec accuracy=33.286458 loss=3.003205 lr=0.098849 Epoch[045] Batch [0349]/[3760] Speed: 119.826917 samples/sec accuracy=33.191964 loss=3.011176 lr=0.098846 Epoch[045] Batch [0399]/[3760] Speed: 119.138360 samples/sec accuracy=33.269531 loss=3.010607 lr=0.098843 Epoch[045] Batch [0449]/[3760] Speed: 119.497112 samples/sec accuracy=33.145833 loss=3.009488 lr=0.098840 Epoch[045] Batch [0499]/[3760] Speed: 119.483644 samples/sec accuracy=33.293750 loss=3.011830 lr=0.098838 Epoch[045] Batch [0549]/[3760] Speed: 118.603372 samples/sec accuracy=33.369318 loss=3.009142 lr=0.098835 Epoch[045] Batch [0599]/[3760] Speed: 119.135996 samples/sec accuracy=33.354167 loss=3.006687 lr=0.098832 Epoch[045] Batch [0649]/[3760] Speed: 118.926427 samples/sec accuracy=33.461538 loss=3.002933 lr=0.098829 Epoch[045] Batch [0699]/[3760] Speed: 119.465898 samples/sec accuracy=33.511161 loss=3.002427 lr=0.098827 Epoch[045] Batch [0749]/[3760] Speed: 119.618594 samples/sec accuracy=33.372917 loss=3.007717 lr=0.098824 Epoch[045] Batch [0799]/[3760] Speed: 118.621656 samples/sec accuracy=33.378906 loss=3.007595 lr=0.098821 Epoch[045] Batch [0849]/[3760] Speed: 119.636151 samples/sec accuracy=33.400735 loss=3.008897 lr=0.098818 Epoch[045] Batch [0899]/[3760] Speed: 119.813297 samples/sec accuracy=33.354167 loss=3.011388 lr=0.098815 Epoch[045] Batch [0949]/[3760] Speed: 118.857641 samples/sec accuracy=33.365132 loss=3.011306 lr=0.098813 Epoch[045] Batch [0999]/[3760] Speed: 119.345127 samples/sec accuracy=33.323438 loss=3.014496 lr=0.098810 Epoch[045] Batch [1049]/[3760] Speed: 119.748045 samples/sec accuracy=33.291667 loss=3.016497 lr=0.098807 Epoch[045] Batch [1099]/[3760] Speed: 119.593761 samples/sec accuracy=33.284091 loss=3.016658 lr=0.098804 Epoch[045] Batch [1149]/[3760] Speed: 119.474902 samples/sec accuracy=33.252717 loss=3.017870 lr=0.098801 Epoch[045] Batch [1199]/[3760] Speed: 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accuracy=33.010216 loss=3.033464 lr=0.098719 Epoch[045] Batch [2649]/[3760] Speed: 119.469895 samples/sec accuracy=33.035377 loss=3.032493 lr=0.098716 Epoch[045] Batch [2699]/[3760] Speed: 120.243873 samples/sec accuracy=33.030093 loss=3.032257 lr=0.098713 Epoch[045] Batch [2749]/[3760] Speed: 119.122436 samples/sec accuracy=33.034659 loss=3.032077 lr=0.098710 Epoch[045] Batch [2799]/[3760] Speed: 119.337211 samples/sec accuracy=33.038504 loss=3.032496 lr=0.098707 Epoch[045] Batch [2849]/[3760] Speed: 119.292802 samples/sec accuracy=33.020285 loss=3.032000 lr=0.098704 Epoch[045] Batch [2899]/[3760] Speed: 119.505146 samples/sec accuracy=33.004849 loss=3.032916 lr=0.098701 Epoch[045] Batch [2949]/[3760] Speed: 118.701283 samples/sec accuracy=33.006886 loss=3.032306 lr=0.098698 Epoch[045] Batch [2999]/[3760] Speed: 119.568786 samples/sec accuracy=33.019792 loss=3.032643 lr=0.098695 Epoch[045] Batch [3049]/[3760] Speed: 119.272794 samples/sec accuracy=33.000512 loss=3.034188 lr=0.098692 Epoch[045] Batch [3099]/[3760] Speed: 119.482105 samples/sec accuracy=32.991431 loss=3.034778 lr=0.098689 Epoch[045] Batch [3149]/[3760] Speed: 119.222415 samples/sec accuracy=33.030258 loss=3.033050 lr=0.098687 Epoch[045] Batch [3199]/[3760] Speed: 119.121602 samples/sec accuracy=33.030762 loss=3.033564 lr=0.098684 Epoch[045] Batch [3249]/[3760] Speed: 119.243297 samples/sec accuracy=33.012019 loss=3.034177 lr=0.098681 Epoch[045] Batch [3299]/[3760] Speed: 119.188985 samples/sec accuracy=32.998106 loss=3.034321 lr=0.098678 Epoch[045] Batch [3349]/[3760] Speed: 120.001453 samples/sec accuracy=33.004664 loss=3.034204 lr=0.098675 Epoch[045] Batch [3399]/[3760] Speed: 119.415029 samples/sec accuracy=33.017004 loss=3.033542 lr=0.098672 Epoch[045] Batch [3449]/[3760] Speed: 118.745239 samples/sec accuracy=33.028080 loss=3.033308 lr=0.098669 Epoch[045] Batch [3499]/[3760] Speed: 118.975686 samples/sec accuracy=33.005357 loss=3.034099 lr=0.098666 Epoch[045] Batch [3549]/[3760] Speed: 119.036752 samples/sec accuracy=32.990317 loss=3.034873 lr=0.098663 Epoch[045] Batch [3599]/[3760] Speed: 120.374110 samples/sec accuracy=33.016927 loss=3.033978 lr=0.098660 Epoch[045] Batch [3649]/[3760] Speed: 118.934003 samples/sec accuracy=33.014555 loss=3.033995 lr=0.098657 Epoch[045] Batch [3699]/[3760] Speed: 119.077449 samples/sec accuracy=32.997044 loss=3.035028 lr=0.098654 Epoch[045] Batch [3749]/[3760] Speed: 123.421766 samples/sec accuracy=32.986667 loss=3.035604 lr=0.098651 Batch [0049]/[0303]: acc-top1=30.937500 acc-top5=57.406250 Batch [0099]/[0303]: acc-top1=27.828125 acc-top5=54.593750 Batch [0149]/[0303]: acc-top1=30.104167 acc-top5=56.197917 Batch [0199]/[0303]: acc-top1=32.523438 acc-top5=58.359375 Batch [0249]/[0303]: acc-top1=31.925000 acc-top5=58.268750 Batch [0299]/[0303]: acc-top1=31.645833 acc-top5=58.739583 [Epoch 045] training: accuracy=32.984126 loss=3.035938 [Epoch 045] speed: 118 samples/sec time cost: 2144.010951 [Epoch 045] validation: acc-top1=31.739893 acc-top5=58.818069 loss=3.330498 Epoch[046] Batch [0049]/[3759] Speed: 87.121207 samples/sec accuracy=32.500000 loss=3.101727 lr=0.098647 Epoch[046] Batch [0099]/[3759] Speed: 118.594183 samples/sec accuracy=33.187500 loss=3.036163 lr=0.098644 Epoch[046] Batch [0149]/[3759] Speed: 119.692176 samples/sec accuracy=32.864583 loss=3.017093 lr=0.098642 Epoch[046] Batch [0199]/[3759] Speed: 119.226298 samples/sec accuracy=32.992188 loss=3.009740 lr=0.098639 Epoch[046] Batch [0249]/[3759] Speed: 118.795297 samples/sec accuracy=32.912500 loss=3.013780 lr=0.098636 Epoch[046] Batch [0299]/[3759] Speed: 119.724485 samples/sec accuracy=33.140625 loss=3.006392 lr=0.098633 Epoch[046] Batch [0349]/[3759] Speed: 119.686537 samples/sec accuracy=33.160714 loss=3.008737 lr=0.098630 Epoch[046] Batch [0399]/[3759] Speed: 118.373927 samples/sec accuracy=33.085938 loss=3.006836 lr=0.098627 Epoch[046] Batch [0449]/[3759] Speed: 119.517713 samples/sec accuracy=33.027778 loss=3.011043 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accuracy=33.227679 loss=3.022571 lr=0.098566 Epoch[046] Batch [1449]/[3759] Speed: 119.538331 samples/sec accuracy=33.215517 loss=3.023332 lr=0.098563 Epoch[046] Batch [1499]/[3759] Speed: 119.651376 samples/sec accuracy=33.202083 loss=3.022792 lr=0.098560 Epoch[046] Batch [1549]/[3759] Speed: 120.109456 samples/sec accuracy=33.200605 loss=3.022593 lr=0.098557 Epoch[046] Batch [1599]/[3759] Speed: 119.101528 samples/sec accuracy=33.229492 loss=3.021563 lr=0.098554 Epoch[046] Batch [1649]/[3759] Speed: 119.602302 samples/sec accuracy=33.193182 loss=3.023233 lr=0.098550 Epoch[046] Batch [1699]/[3759] Speed: 119.238142 samples/sec accuracy=33.178309 loss=3.025629 lr=0.098547 Epoch[046] Batch [1749]/[3759] Speed: 120.385106 samples/sec accuracy=33.175000 loss=3.025652 lr=0.098544 Epoch[046] Batch [1799]/[3759] Speed: 119.257149 samples/sec accuracy=33.175347 loss=3.024950 lr=0.098541 Epoch[046] Batch [1849]/[3759] Speed: 119.181196 samples/sec accuracy=33.173986 loss=3.025197 lr=0.098538 Epoch[046] Batch [1899]/[3759] Speed: 119.406207 samples/sec accuracy=33.220395 loss=3.024899 lr=0.098535 Epoch[046] Batch [1949]/[3759] Speed: 119.268532 samples/sec accuracy=33.191506 loss=3.026548 lr=0.098532 Epoch[046] Batch [1999]/[3759] Speed: 118.464333 samples/sec accuracy=33.152344 loss=3.029244 lr=0.098529 Epoch[046] Batch [2049]/[3759] Speed: 119.413695 samples/sec accuracy=33.150152 loss=3.029163 lr=0.098526 Epoch[046] Batch [2099]/[3759] Speed: 118.744136 samples/sec accuracy=33.168899 loss=3.028412 lr=0.098523 Epoch[046] Batch [2149]/[3759] Speed: 119.658636 samples/sec accuracy=33.211483 loss=3.026802 lr=0.098519 Epoch[046] Batch [2199]/[3759] Speed: 120.196150 samples/sec accuracy=33.224432 loss=3.027094 lr=0.098516 Epoch[046] Batch [2249]/[3759] Speed: 119.344210 samples/sec accuracy=33.245139 loss=3.027717 lr=0.098513 Epoch[046] Batch [2299]/[3759] Speed: 119.991179 samples/sec accuracy=33.229620 loss=3.028453 lr=0.098510 Epoch[046] Batch [2349]/[3759] Speed: 118.873012 samples/sec accuracy=33.253324 loss=3.027454 lr=0.098507 Epoch[046] Batch [2399]/[3759] Speed: 119.203379 samples/sec accuracy=33.242188 loss=3.028112 lr=0.098504 Epoch[046] Batch [2449]/[3759] Speed: 118.931442 samples/sec accuracy=33.220663 loss=3.028516 lr=0.098501 Epoch[046] Batch [2499]/[3759] Speed: 118.902891 samples/sec accuracy=33.240625 loss=3.027696 lr=0.098498 Epoch[046] Batch [2549]/[3759] Speed: 119.625535 samples/sec accuracy=33.235907 loss=3.028697 lr=0.098494 Epoch[046] Batch [2599]/[3759] Speed: 119.291581 samples/sec accuracy=33.198918 loss=3.029743 lr=0.098491 Epoch[046] Batch [2649]/[3759] Speed: 119.082465 samples/sec accuracy=33.194575 loss=3.029271 lr=0.098488 Epoch[046] Batch [2699]/[3759] Speed: 119.092429 samples/sec accuracy=33.220486 loss=3.028381 lr=0.098485 Epoch[046] Batch [2749]/[3759] Speed: 118.753182 samples/sec accuracy=33.217045 loss=3.028449 lr=0.098482 Epoch[046] Batch [2799]/[3759] Speed: 119.885596 samples/sec accuracy=33.202567 loss=3.028472 lr=0.098479 Epoch[046] Batch [2849]/[3759] Speed: 119.031883 samples/sec accuracy=33.200110 loss=3.028801 lr=0.098476 Epoch[046] Batch [2899]/[3759] Speed: 119.676683 samples/sec accuracy=33.204203 loss=3.028826 lr=0.098472 Epoch[046] Batch [2949]/[3759] Speed: 119.203590 samples/sec accuracy=33.179555 loss=3.030030 lr=0.098469 Epoch[046] Batch [2999]/[3759] Speed: 118.539693 samples/sec accuracy=33.169271 loss=3.029719 lr=0.098466 Epoch[046] Batch [3049]/[3759] Speed: 119.263601 samples/sec accuracy=33.159836 loss=3.030999 lr=0.098463 Epoch[046] Batch [3099]/[3759] Speed: 118.029451 samples/sec accuracy=33.158770 loss=3.031899 lr=0.098460 Epoch[046] Batch [3149]/[3759] Speed: 118.862422 samples/sec accuracy=33.167163 loss=3.031896 lr=0.098457 Epoch[046] Batch [3199]/[3759] Speed: 119.459091 samples/sec accuracy=33.154785 loss=3.032041 lr=0.098453 Epoch[046] Batch [3249]/[3759] Speed: 119.335407 samples/sec accuracy=33.137981 loss=3.032874 lr=0.098450 Epoch[046] Batch [3299]/[3759] Speed: 119.568543 samples/sec accuracy=33.132102 loss=3.032166 lr=0.098447 Epoch[046] Batch [3349]/[3759] Speed: 119.164244 samples/sec accuracy=33.131996 loss=3.032070 lr=0.098444 Epoch[046] Batch [3399]/[3759] Speed: 119.532741 samples/sec accuracy=33.115349 loss=3.033217 lr=0.098441 Epoch[046] Batch [3449]/[3759] Speed: 119.251376 samples/sec accuracy=33.092391 loss=3.034416 lr=0.098437 Epoch[046] Batch [3499]/[3759] Speed: 120.104615 samples/sec accuracy=33.132589 loss=3.033466 lr=0.098434 Epoch[046] Batch [3549]/[3759] Speed: 119.746310 samples/sec accuracy=33.128081 loss=3.033561 lr=0.098431 Epoch[046] Batch [3599]/[3759] Speed: 118.688980 samples/sec accuracy=33.127604 loss=3.034120 lr=0.098428 Epoch[046] Batch [3649]/[3759] Speed: 118.993819 samples/sec accuracy=33.120719 loss=3.033566 lr=0.098425 Epoch[046] Batch [3699]/[3759] Speed: 118.798155 samples/sec accuracy=33.135135 loss=3.032779 lr=0.098421 Epoch[046] Batch [3749]/[3759] Speed: 123.165869 samples/sec accuracy=33.158333 loss=3.032755 lr=0.098418 Batch [0049]/[0303]: acc-top1=29.531250 acc-top5=56.625000 Batch [0099]/[0303]: acc-top1=28.156250 acc-top5=55.265625 Batch [0149]/[0303]: acc-top1=30.291667 acc-top5=57.177083 Batch [0199]/[0303]: acc-top1=32.601562 acc-top5=59.101563 Batch [0249]/[0303]: acc-top1=32.087500 acc-top5=58.837500 Batch [0299]/[0303]: acc-top1=31.781250 acc-top5=58.911458 [Epoch 046] training: accuracy=33.148361 loss=3.033285 [Epoch 046] speed: 118 samples/sec time cost: 2144.219122 [Epoch 046] validation: acc-top1=31.910066 acc-top5=58.998556 loss=3.361523 Epoch[047] Batch [0049]/[3760] Speed: 87.125861 samples/sec accuracy=33.562500 loss=2.979400 lr=0.098414 Epoch[047] Batch [0099]/[3760] Speed: 119.049379 samples/sec accuracy=34.312500 loss=2.976986 lr=0.098411 Epoch[047] Batch [0149]/[3760] Speed: 119.288049 samples/sec accuracy=34.239583 loss=2.991857 lr=0.098408 Epoch[047] Batch [0199]/[3760] Speed: 119.495444 samples/sec accuracy=33.976562 loss=3.008609 lr=0.098405 Epoch[047] Batch [0249]/[3760] Speed: 118.677462 samples/sec accuracy=33.956250 loss=3.009009 lr=0.098401 Epoch[047] Batch [0299]/[3760] Speed: 120.401039 samples/sec accuracy=33.526042 loss=3.017979 lr=0.098398 Epoch[047] Batch [0349]/[3760] Speed: 118.811271 samples/sec accuracy=33.535714 loss=3.014954 lr=0.098395 Epoch[047] Batch [0399]/[3760] Speed: 119.322675 samples/sec accuracy=33.578125 loss=3.012037 lr=0.098392 Epoch[047] Batch [0449]/[3760] Speed: 118.474057 samples/sec accuracy=33.590278 loss=3.009617 lr=0.098388 Epoch[047] Batch [0499]/[3760] Speed: 119.562930 samples/sec accuracy=33.700000 loss=3.008187 lr=0.098385 Epoch[047] Batch [0549]/[3760] Speed: 118.820394 samples/sec accuracy=33.744318 loss=3.008883 lr=0.098382 Epoch[047] Batch [0599]/[3760] Speed: 119.720279 samples/sec accuracy=33.770833 loss=3.008502 lr=0.098379 Epoch[047] Batch [0649]/[3760] Speed: 119.419249 samples/sec accuracy=33.644231 loss=3.012427 lr=0.098375 Epoch[047] Batch [0699]/[3760] Speed: 118.802746 samples/sec accuracy=33.671875 loss=3.013044 lr=0.098372 Epoch[047] Batch [0749]/[3760] Speed: 119.152841 samples/sec accuracy=33.683333 loss=3.014666 lr=0.098369 Epoch[047] Batch [0799]/[3760] Speed: 118.510448 samples/sec accuracy=33.611328 loss=3.018220 lr=0.098366 Epoch[047] Batch [0849]/[3760] Speed: 119.548530 samples/sec accuracy=33.619485 loss=3.017993 lr=0.098362 Epoch[047] Batch [0899]/[3760] Speed: 119.371487 samples/sec accuracy=33.586806 loss=3.017270 lr=0.098359 Epoch[047] Batch [0949]/[3760] Speed: 119.244729 samples/sec accuracy=33.542763 loss=3.017983 lr=0.098356 Epoch[047] Batch [0999]/[3760] Speed: 119.585060 samples/sec accuracy=33.485937 loss=3.017922 lr=0.098353 Epoch[047] Batch [1049]/[3760] Speed: 118.671730 samples/sec accuracy=33.480655 loss=3.018253 lr=0.098349 Epoch[047] Batch [1099]/[3760] Speed: 119.201035 samples/sec accuracy=33.528409 loss=3.016684 lr=0.098346 Epoch[047] Batch [1149]/[3760] Speed: 118.983529 samples/sec accuracy=33.557065 loss=3.014898 lr=0.098343 Epoch[047] Batch [1199]/[3760] Speed: 119.547701 samples/sec accuracy=33.604167 loss=3.014708 lr=0.098339 Epoch[047] Batch [1249]/[3760] Speed: 119.184122 samples/sec accuracy=33.590000 loss=3.016511 lr=0.098336 Epoch[047] Batch [1299]/[3760] Speed: 118.635164 samples/sec accuracy=33.531250 loss=3.015554 lr=0.098333 Epoch[047] Batch [1349]/[3760] Speed: 119.444808 samples/sec accuracy=33.443287 loss=3.019603 lr=0.098329 Epoch[047] Batch [1399]/[3760] Speed: 119.037073 samples/sec accuracy=33.444196 loss=3.020187 lr=0.098326 Epoch[047] Batch [1449]/[3760] Speed: 118.955340 samples/sec accuracy=33.440733 loss=3.021057 lr=0.098323 Epoch[047] Batch [1499]/[3760] Speed: 119.095244 samples/sec accuracy=33.437500 loss=3.022126 lr=0.098320 Epoch[047] Batch [1549]/[3760] Speed: 119.496296 samples/sec accuracy=33.420363 loss=3.023721 lr=0.098316 Epoch[047] Batch [1599]/[3760] Speed: 118.983415 samples/sec accuracy=33.430664 loss=3.024560 lr=0.098313 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loss=3.029714 lr=0.098249 Epoch[047] Batch [2599]/[3760] Speed: 118.998863 samples/sec accuracy=33.346755 loss=3.029880 lr=0.098246 Epoch[047] Batch [2649]/[3760] Speed: 120.099687 samples/sec accuracy=33.360849 loss=3.029957 lr=0.098242 Epoch[047] Batch [2699]/[3760] Speed: 119.109207 samples/sec accuracy=33.366319 loss=3.030251 lr=0.098239 Epoch[047] Batch [2749]/[3760] Speed: 119.416297 samples/sec accuracy=33.346591 loss=3.031013 lr=0.098236 Epoch[047] Batch [2799]/[3760] Speed: 118.772173 samples/sec accuracy=33.332589 loss=3.031485 lr=0.098232 Epoch[047] Batch [2849]/[3760] Speed: 119.271768 samples/sec accuracy=33.329496 loss=3.030498 lr=0.098229 Epoch[047] Batch [2899]/[3760] Speed: 119.104945 samples/sec accuracy=33.288254 loss=3.031731 lr=0.098225 Epoch[047] Batch [2949]/[3760] Speed: 118.993151 samples/sec accuracy=33.310381 loss=3.030889 lr=0.098222 Epoch[047] Batch [2999]/[3760] Speed: 119.257626 samples/sec accuracy=33.327083 loss=3.030953 lr=0.098219 Epoch[047] Batch 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accuracy=33.287500 loss=3.033048 lr=0.098184 Epoch[047] Batch [3549]/[3760] Speed: 120.196075 samples/sec accuracy=33.287412 loss=3.033914 lr=0.098181 Epoch[047] Batch [3599]/[3760] Speed: 118.990814 samples/sec accuracy=33.287760 loss=3.033538 lr=0.098177 Epoch[047] Batch [3649]/[3760] Speed: 120.338613 samples/sec accuracy=33.284247 loss=3.033311 lr=0.098174 Epoch[047] Batch [3699]/[3760] Speed: 120.106160 samples/sec accuracy=33.260980 loss=3.034269 lr=0.098171 Epoch[047] Batch [3749]/[3760] Speed: 123.012048 samples/sec accuracy=33.250417 loss=3.034717 lr=0.098167 Batch [0049]/[0303]: acc-top1=32.812500 acc-top5=58.343750 Batch [0099]/[0303]: acc-top1=29.875000 acc-top5=56.125000 Batch [0149]/[0303]: acc-top1=31.687500 acc-top5=57.708333 Batch [0199]/[0303]: acc-top1=34.078125 acc-top5=60.265625 Batch [0249]/[0303]: acc-top1=33.843750 acc-top5=60.481250 Batch [0299]/[0303]: acc-top1=33.531250 acc-top5=60.630208 [Epoch 047] training: accuracy=33.252576 loss=3.034367 [Epoch 047] speed: 118 samples/sec time cost: 2144.138902 [Epoch 047] validation: acc-top1=33.622112 acc-top5=60.751856 loss=3.203874 Epoch[048] Batch [0049]/[3760] Speed: 88.681260 samples/sec accuracy=33.187500 loss=3.001546 lr=0.098163 Epoch[048] Batch [0099]/[3760] Speed: 119.062226 samples/sec accuracy=32.953125 loss=3.026131 lr=0.098159 Epoch[048] Batch [0149]/[3760] Speed: 118.339252 samples/sec accuracy=33.114583 loss=3.017460 lr=0.098156 Epoch[048] Batch [0199]/[3760] Speed: 120.265774 samples/sec accuracy=33.273438 loss=3.018879 lr=0.098153 Epoch[048] Batch [0249]/[3760] Speed: 119.141220 samples/sec accuracy=32.956250 loss=3.018709 lr=0.098149 Epoch[048] Batch [0299]/[3760] Speed: 119.109322 samples/sec accuracy=33.140625 loss=3.013654 lr=0.098146 Epoch[048] Batch [0349]/[3760] Speed: 120.347173 samples/sec accuracy=33.040179 loss=3.018696 lr=0.098142 Epoch[048] Batch [0399]/[3760] Speed: 119.473279 samples/sec accuracy=33.328125 loss=3.012203 lr=0.098139 Epoch[048] Batch [0449]/[3760] 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accuracy=33.302083 loss=3.009425 lr=0.098104 Epoch[048] Batch [0949]/[3760] Speed: 118.864704 samples/sec accuracy=33.235197 loss=3.008641 lr=0.098100 Epoch[048] Batch [0999]/[3760] Speed: 119.502828 samples/sec accuracy=33.267187 loss=3.008605 lr=0.098097 Epoch[048] Batch [1049]/[3760] Speed: 119.575775 samples/sec accuracy=33.360119 loss=3.006814 lr=0.098093 Epoch[048] Batch [1099]/[3760] Speed: 118.547026 samples/sec accuracy=33.348011 loss=3.007229 lr=0.098089 Epoch[048] Batch [1149]/[3760] Speed: 119.520568 samples/sec accuracy=33.343750 loss=3.007401 lr=0.098086 Epoch[048] Batch [1199]/[3760] Speed: 118.404473 samples/sec accuracy=33.399740 loss=3.006826 lr=0.098082 Epoch[048] Batch [1249]/[3760] Speed: 119.303872 samples/sec accuracy=33.380000 loss=3.008997 lr=0.098079 Epoch[048] Batch [1299]/[3760] Speed: 119.470283 samples/sec accuracy=33.353365 loss=3.010804 lr=0.098075 Epoch[048] Batch [1349]/[3760] Speed: 119.111575 samples/sec accuracy=33.403935 loss=3.008154 lr=0.098072 Epoch[048] Batch [1399]/[3760] Speed: 119.150068 samples/sec accuracy=33.385045 loss=3.009260 lr=0.098068 Epoch[048] Batch [1449]/[3760] Speed: 119.072491 samples/sec accuracy=33.364224 loss=3.009307 lr=0.098065 Epoch[048] Batch [1499]/[3760] Speed: 118.234696 samples/sec accuracy=33.405208 loss=3.007617 lr=0.098061 Epoch[048] Batch [1549]/[3760] Speed: 118.412609 samples/sec accuracy=33.431452 loss=3.006620 lr=0.098058 Epoch[048] Batch [1599]/[3760] Speed: 118.549121 samples/sec accuracy=33.419922 loss=3.008291 lr=0.098054 Epoch[048] Batch [1649]/[3760] Speed: 118.859680 samples/sec accuracy=33.404356 loss=3.009910 lr=0.098050 Epoch[048] Batch [1699]/[3760] Speed: 119.225287 samples/sec accuracy=33.448529 loss=3.007776 lr=0.098047 Epoch[048] Batch [1749]/[3760] Speed: 120.228375 samples/sec accuracy=33.427679 loss=3.007986 lr=0.098043 Epoch[048] Batch [1799]/[3760] Speed: 118.573635 samples/sec accuracy=33.440972 loss=3.007975 lr=0.098040 Epoch[048] Batch [1849]/[3760] Speed: 118.545332 samples/sec accuracy=33.399493 loss=3.008419 lr=0.098036 Epoch[048] Batch [1899]/[3760] Speed: 119.760593 samples/sec accuracy=33.396382 loss=3.009029 lr=0.098033 Epoch[048] Batch [1949]/[3760] Speed: 119.782865 samples/sec accuracy=33.381410 loss=3.009703 lr=0.098029 Epoch[048] Batch [1999]/[3760] Speed: 119.253921 samples/sec accuracy=33.353906 loss=3.010158 lr=0.098025 Epoch[048] Batch [2049]/[3760] Speed: 118.905395 samples/sec accuracy=33.317073 loss=3.011352 lr=0.098022 Epoch[048] Batch [2099]/[3760] Speed: 119.108223 samples/sec accuracy=33.334077 loss=3.011201 lr=0.098018 Epoch[048] Batch [2149]/[3760] Speed: 119.921565 samples/sec accuracy=33.317587 loss=3.012477 lr=0.098015 Epoch[048] Batch [2199]/[3760] Speed: 119.389999 samples/sec accuracy=33.323153 loss=3.011871 lr=0.098011 Epoch[048] Batch [2249]/[3760] Speed: 119.860271 samples/sec accuracy=33.314583 loss=3.012714 lr=0.098007 Epoch[048] Batch [2299]/[3760] Speed: 119.512438 samples/sec accuracy=33.336277 loss=3.012170 lr=0.098004 Epoch[048] Batch [2349]/[3760] Speed: 119.664496 samples/sec accuracy=33.340426 loss=3.012927 lr=0.098000 Epoch[048] Batch [2399]/[3760] Speed: 119.272737 samples/sec accuracy=33.343750 loss=3.012518 lr=0.097997 Epoch[048] Batch [2449]/[3760] Speed: 119.130075 samples/sec accuracy=33.333546 loss=3.012219 lr=0.097993 Epoch[048] Batch [2499]/[3760] Speed: 119.172896 samples/sec accuracy=33.305625 loss=3.014128 lr=0.097989 Epoch[048] Batch [2549]/[3760] Speed: 119.685337 samples/sec accuracy=33.299020 loss=3.014530 lr=0.097986 Epoch[048] Batch [2599]/[3760] Speed: 119.231210 samples/sec accuracy=33.278846 loss=3.015914 lr=0.097982 Epoch[048] Batch [2649]/[3760] Speed: 119.207582 samples/sec accuracy=33.274764 loss=3.015807 lr=0.097978 Epoch[048] Batch [2699]/[3760] Speed: 119.332077 samples/sec accuracy=33.289352 loss=3.015712 lr=0.097975 Epoch[048] Batch [2749]/[3760] Speed: 119.522925 samples/sec accuracy=33.264205 loss=3.016903 lr=0.097971 Epoch[048] Batch [2799]/[3760] Speed: 118.700411 samples/sec accuracy=33.265625 loss=3.017222 lr=0.097968 Epoch[048] Batch [2849]/[3760] Speed: 119.585596 samples/sec accuracy=33.277412 loss=3.017391 lr=0.097964 Epoch[048] Batch [2899]/[3760] Speed: 118.975935 samples/sec accuracy=33.256466 loss=3.018249 lr=0.097960 Epoch[048] Batch [2949]/[3760] Speed: 119.042788 samples/sec accuracy=33.265890 loss=3.018897 lr=0.097957 Epoch[048] Batch [2999]/[3760] Speed: 119.504531 samples/sec accuracy=33.263021 loss=3.019008 lr=0.097953 Epoch[048] Batch [3049]/[3760] Speed: 119.378254 samples/sec accuracy=33.250512 loss=3.019073 lr=0.097949 Epoch[048] Batch [3099]/[3760] Speed: 120.013517 samples/sec accuracy=33.227319 loss=3.019764 lr=0.097946 Epoch[048] Batch [3149]/[3760] Speed: 119.662522 samples/sec accuracy=33.236111 loss=3.019119 lr=0.097942 Epoch[048] Batch [3199]/[3760] Speed: 119.032928 samples/sec accuracy=33.243652 loss=3.019127 lr=0.097938 Epoch[048] Batch [3249]/[3760] Speed: 119.222750 samples/sec accuracy=33.249519 loss=3.019759 lr=0.097935 Epoch[048] Batch [3299]/[3760] Speed: 119.229606 samples/sec accuracy=33.267045 loss=3.019098 lr=0.097931 Epoch[048] Batch [3349]/[3760] Speed: 118.910453 samples/sec accuracy=33.267724 loss=3.019528 lr=0.097927 Epoch[048] Batch [3399]/[3760] Speed: 118.905902 samples/sec accuracy=33.246783 loss=3.020900 lr=0.097924 Epoch[048] Batch [3449]/[3760] Speed: 118.897749 samples/sec accuracy=33.259511 loss=3.020853 lr=0.097920 Epoch[048] Batch [3499]/[3760] Speed: 118.876572 samples/sec accuracy=33.242857 loss=3.021852 lr=0.097916 Epoch[048] Batch [3549]/[3760] Speed: 118.877385 samples/sec accuracy=33.265845 loss=3.021045 lr=0.097913 Epoch[048] Batch [3599]/[3760] Speed: 118.978314 samples/sec accuracy=33.259549 loss=3.021564 lr=0.097909 Epoch[048] Batch [3649]/[3760] Speed: 119.353436 samples/sec accuracy=33.285103 loss=3.021001 lr=0.097905 Epoch[048] Batch [3699]/[3760] Speed: 119.396629 samples/sec accuracy=33.287162 loss=3.021170 lr=0.097902 Epoch[048] Batch [3749]/[3760] Speed: 122.936917 samples/sec accuracy=33.288750 loss=3.020900 lr=0.097898 Batch [0049]/[0303]: acc-top1=33.687500 acc-top5=60.750000 Batch [0099]/[0303]: acc-top1=30.812500 acc-top5=58.000000 Batch [0149]/[0303]: acc-top1=32.270833 acc-top5=58.979167 Batch [0199]/[0303]: acc-top1=34.539062 acc-top5=60.859375 Batch [0249]/[0303]: acc-top1=34.056250 acc-top5=60.606250 Batch [0299]/[0303]: acc-top1=33.364583 acc-top5=60.500000 [Epoch 048] training: accuracy=33.290392 loss=3.020812 [Epoch 048] speed: 118 samples/sec time cost: 2145.120702 [Epoch 048] validation: acc-top1=33.451939 acc-top5=60.581683 loss=3.213652 Epoch[049] Batch [0049]/[3759] Speed: 89.019543 samples/sec accuracy=32.750000 loss=3.040352 lr=0.097893 Epoch[049] Batch [0099]/[3759] Speed: 118.855141 samples/sec accuracy=33.578125 loss=3.005981 lr=0.097890 Epoch[049] Batch [0149]/[3759] Speed: 119.419938 samples/sec accuracy=33.760417 loss=3.002549 lr=0.097886 Epoch[049] Batch [0199]/[3759] Speed: 118.966877 samples/sec accuracy=33.796875 loss=3.000857 lr=0.097882 Epoch[049] Batch [0249]/[3759] Speed: 118.808464 samples/sec accuracy=33.937500 loss=2.992467 lr=0.097879 Epoch[049] Batch [0299]/[3759] Speed: 120.205245 samples/sec accuracy=33.958333 loss=2.984327 lr=0.097875 Epoch[049] Batch [0349]/[3759] Speed: 119.626900 samples/sec accuracy=33.808036 loss=2.990961 lr=0.097871 Epoch[049] Batch [0399]/[3759] Speed: 119.758053 samples/sec accuracy=33.882812 loss=2.994821 lr=0.097867 Epoch[049] Batch [0449]/[3759] Speed: 119.668853 samples/sec accuracy=34.003472 loss=2.985494 lr=0.097864 Epoch[049] Batch [0499]/[3759] Speed: 119.762959 samples/sec accuracy=33.918750 loss=2.989374 lr=0.097860 Epoch[049] Batch [0549]/[3759] Speed: 119.487261 samples/sec accuracy=33.877841 loss=2.991904 lr=0.097856 Epoch[049] Batch [0599]/[3759] Speed: 119.297098 samples/sec accuracy=33.802083 loss=2.994138 lr=0.097852 Epoch[049] Batch [0649]/[3759] Speed: 119.744406 samples/sec accuracy=33.848558 loss=2.993313 lr=0.097849 Epoch[049] Batch [0699]/[3759] Speed: 118.605890 samples/sec accuracy=33.857143 loss=2.994465 lr=0.097845 Epoch[049] Batch [0749]/[3759] Speed: 119.004574 samples/sec accuracy=33.808333 loss=2.995323 lr=0.097841 Epoch[049] Batch [0799]/[3759] Speed: 119.146980 samples/sec accuracy=33.820312 loss=2.992617 lr=0.097837 Epoch[049] Batch [0849]/[3759] Speed: 118.934079 samples/sec accuracy=33.808824 loss=2.991062 lr=0.097834 Epoch[049] Batch [0899]/[3759] Speed: 119.638155 samples/sec accuracy=33.786458 loss=2.992608 lr=0.097830 Epoch[049] Batch [0949]/[3759] Speed: 119.164515 samples/sec accuracy=33.802632 loss=2.992532 lr=0.097826 Epoch[049] Batch [0999]/[3759] Speed: 119.652843 samples/sec accuracy=33.721875 loss=2.993190 lr=0.097822 Epoch[049] Batch [1049]/[3759] Speed: 119.255397 samples/sec accuracy=33.757440 loss=2.990834 lr=0.097819 Epoch[049] Batch [1099]/[3759] Speed: 119.656841 samples/sec accuracy=33.724432 loss=2.993196 lr=0.097815 Epoch[049] Batch [1149]/[3759] Speed: 118.955666 samples/sec accuracy=33.720109 loss=2.995792 lr=0.097811 Epoch[049] Batch [1199]/[3759] Speed: 119.099511 samples/sec accuracy=33.690104 loss=2.999004 lr=0.097807 Epoch[049] Batch [1249]/[3759] Speed: 119.013100 samples/sec accuracy=33.613750 loss=3.001691 lr=0.097804 Epoch[049] Batch [1299]/[3759] Speed: 119.654313 samples/sec accuracy=33.574519 loss=3.004284 lr=0.097800 Epoch[049] Batch [1349]/[3759] Speed: 119.070866 samples/sec accuracy=33.553241 loss=3.006159 lr=0.097796 Epoch[049] Batch [1399]/[3759] Speed: 118.433129 samples/sec accuracy=33.529018 loss=3.006115 lr=0.097792 Epoch[049] Batch [1449]/[3759] Speed: 119.873654 samples/sec accuracy=33.489224 loss=3.007840 lr=0.097788 Epoch[049] Batch [1499]/[3759] Speed: 117.987771 samples/sec accuracy=33.471875 loss=3.009274 lr=0.097785 Epoch[049] Batch [1549]/[3759] Speed: 118.957703 samples/sec accuracy=33.480847 loss=3.008982 lr=0.097781 Epoch[049] Batch [1599]/[3759] Speed: 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loss=3.012245 lr=0.097743 Epoch[049] Batch [2099]/[3759] Speed: 119.412102 samples/sec accuracy=33.433780 loss=3.012560 lr=0.097739 Epoch[049] Batch [2149]/[3759] Speed: 119.516788 samples/sec accuracy=33.413517 loss=3.013473 lr=0.097735 Epoch[049] Batch [2199]/[3759] Speed: 118.753669 samples/sec accuracy=33.416903 loss=3.013060 lr=0.097731 Epoch[049] Batch [2249]/[3759] Speed: 119.464131 samples/sec accuracy=33.400000 loss=3.013695 lr=0.097727 Epoch[049] Batch [2299]/[3759] Speed: 119.114807 samples/sec accuracy=33.375000 loss=3.014725 lr=0.097723 Epoch[049] Batch [2349]/[3759] Speed: 119.234201 samples/sec accuracy=33.358378 loss=3.015111 lr=0.097720 Epoch[049] Batch [2399]/[3759] Speed: 119.256457 samples/sec accuracy=33.363281 loss=3.015219 lr=0.097716 Epoch[049] Batch [2449]/[3759] Speed: 118.227397 samples/sec accuracy=33.336735 loss=3.016708 lr=0.097712 Epoch[049] Batch [2499]/[3759] Speed: 119.860092 samples/sec accuracy=33.318125 loss=3.017431 lr=0.097708 Epoch[049] Batch 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accuracy=33.298958 loss=3.019543 lr=0.097669 Epoch[049] Batch [3049]/[3759] Speed: 119.287054 samples/sec accuracy=33.302766 loss=3.019818 lr=0.097665 Epoch[049] Batch [3099]/[3759] Speed: 119.140446 samples/sec accuracy=33.316532 loss=3.019005 lr=0.097662 Epoch[049] Batch [3149]/[3759] Speed: 119.628995 samples/sec accuracy=33.303571 loss=3.020087 lr=0.097658 Epoch[049] Batch [3199]/[3759] Speed: 119.061402 samples/sec accuracy=33.290527 loss=3.020349 lr=0.097654 Epoch[049] Batch [3249]/[3759] Speed: 119.114346 samples/sec accuracy=33.263942 loss=3.021106 lr=0.097650 Epoch[049] Batch [3299]/[3759] Speed: 119.437763 samples/sec accuracy=33.255208 loss=3.021487 lr=0.097646 Epoch[049] Batch [3349]/[3759] Speed: 119.448139 samples/sec accuracy=33.256063 loss=3.022138 lr=0.097642 Epoch[049] Batch [3399]/[3759] Speed: 118.527101 samples/sec accuracy=33.256434 loss=3.022206 lr=0.097638 Epoch[049] Batch [3449]/[3759] Speed: 119.806186 samples/sec accuracy=33.263134 loss=3.021923 lr=0.097634 Epoch[049] Batch [3499]/[3759] Speed: 119.184799 samples/sec accuracy=33.258036 loss=3.023023 lr=0.097630 Epoch[049] Batch [3549]/[3759] Speed: 120.192324 samples/sec accuracy=33.264525 loss=3.022561 lr=0.097626 Epoch[049] Batch [3599]/[3759] Speed: 119.642160 samples/sec accuracy=33.258247 loss=3.022773 lr=0.097622 Epoch[049] Batch [3649]/[3759] Speed: 119.856323 samples/sec accuracy=33.278682 loss=3.022585 lr=0.097618 Epoch[049] Batch [3699]/[3759] Speed: 120.304030 samples/sec accuracy=33.271537 loss=3.022420 lr=0.097615 Epoch[049] Batch [3749]/[3759] Speed: 123.189059 samples/sec accuracy=33.260833 loss=3.022397 lr=0.097611 Batch [0049]/[0303]: acc-top1=32.812500 acc-top5=59.687500 Batch [0099]/[0303]: acc-top1=30.281250 acc-top5=56.843750 Batch [0149]/[0303]: acc-top1=31.020833 acc-top5=57.666667 Batch [0199]/[0303]: acc-top1=33.937500 acc-top5=60.140625 Batch [0249]/[0303]: acc-top1=33.175000 acc-top5=59.887500 Batch [0299]/[0303]: acc-top1=32.744792 acc-top5=59.937500 [Epoch 049] training: accuracy=33.259344 loss=3.022412 [Epoch 049] speed: 118 samples/sec time cost: 2142.931886 [Epoch 049] validation: acc-top1=32.678424 acc-top5=59.900990 loss=3.386428 Epoch[050] Batch [0049]/[3760] Speed: 88.416844 samples/sec accuracy=35.875000 loss=2.879321 lr=0.097606 Epoch[050] Batch [0099]/[3760] Speed: 119.959649 samples/sec accuracy=35.046875 loss=2.939314 lr=0.097602 Epoch[050] Batch [0149]/[3760] Speed: 118.993641 samples/sec accuracy=34.760417 loss=2.950668 lr=0.097598 Epoch[050] Batch [0199]/[3760] Speed: 119.654241 samples/sec accuracy=34.304688 loss=2.989026 lr=0.097594 Epoch[050] Batch [0249]/[3760] Speed: 119.519218 samples/sec accuracy=33.968750 loss=2.984365 lr=0.097590 Epoch[050] Batch [0299]/[3760] Speed: 120.098933 samples/sec accuracy=33.989583 loss=2.988337 lr=0.097586 Epoch[050] Batch [0349]/[3760] Speed: 119.850791 samples/sec accuracy=33.973214 loss=2.982693 lr=0.097582 Epoch[050] Batch [0399]/[3760] Speed: 118.927827 samples/sec accuracy=34.015625 loss=2.981612 lr=0.097578 Epoch[050] Batch [0449]/[3760] Speed: 119.430698 samples/sec accuracy=33.993056 loss=2.983601 lr=0.097574 Epoch[050] Batch [0499]/[3760] Speed: 119.059372 samples/sec accuracy=33.981250 loss=2.982018 lr=0.097570 Epoch[050] Batch [0549]/[3760] Speed: 119.639874 samples/sec accuracy=33.840909 loss=2.984832 lr=0.097566 Epoch[050] Batch [0599]/[3760] Speed: 119.544655 samples/sec accuracy=33.869792 loss=2.987214 lr=0.097562 Epoch[050] Batch [0649]/[3760] Speed: 119.700228 samples/sec accuracy=33.757212 loss=2.989941 lr=0.097558 Epoch[050] Batch [0699]/[3760] Speed: 118.629429 samples/sec accuracy=33.772321 loss=2.989970 lr=0.097554 Epoch[050] Batch [0749]/[3760] Speed: 118.705680 samples/sec accuracy=33.802083 loss=2.989413 lr=0.097550 Epoch[050] Batch [0799]/[3760] Speed: 118.871592 samples/sec accuracy=33.804688 loss=2.989282 lr=0.097546 Epoch[050] Batch [0849]/[3760] Speed: 118.982816 samples/sec accuracy=33.731618 loss=2.991566 lr=0.097542 Epoch[050] Batch [0899]/[3760] Speed: 118.855213 samples/sec accuracy=33.798611 loss=2.989168 lr=0.097538 Epoch[050] Batch [0949]/[3760] Speed: 119.755717 samples/sec accuracy=33.866776 loss=2.986294 lr=0.097534 Epoch[050] Batch [0999]/[3760] Speed: 118.374209 samples/sec accuracy=33.868750 loss=2.987684 lr=0.097530 Epoch[050] Batch [1049]/[3760] Speed: 119.126100 samples/sec accuracy=33.828869 loss=2.988913 lr=0.097526 Epoch[050] Batch [1099]/[3760] Speed: 118.183209 samples/sec accuracy=33.839489 loss=2.986690 lr=0.097522 Epoch[050] Batch [1149]/[3760] Speed: 118.763224 samples/sec accuracy=33.778533 loss=2.988539 lr=0.097518 Epoch[050] Batch [1199]/[3760] Speed: 119.312087 samples/sec accuracy=33.850260 loss=2.987299 lr=0.097514 Epoch[050] Batch [1249]/[3760] Speed: 119.417575 samples/sec accuracy=33.845000 loss=2.988595 lr=0.097510 Epoch[050] Batch [1299]/[3760] Speed: 119.560337 samples/sec accuracy=33.825721 loss=2.988724 lr=0.097506 Epoch[050] Batch [1349]/[3760] Speed: 118.620779 samples/sec accuracy=33.828704 loss=2.988518 lr=0.097502 Epoch[050] Batch [1399]/[3760] Speed: 119.537547 samples/sec accuracy=33.717634 loss=2.992201 lr=0.097498 Epoch[050] Batch [1449]/[3760] Speed: 119.332453 samples/sec accuracy=33.697198 loss=2.993189 lr=0.097494 Epoch[050] Batch [1499]/[3760] Speed: 120.283163 samples/sec accuracy=33.704167 loss=2.993807 lr=0.097490 Epoch[050] Batch [1549]/[3760] Speed: 119.571991 samples/sec accuracy=33.689516 loss=2.995150 lr=0.097486 Epoch[050] Batch [1599]/[3760] Speed: 119.872122 samples/sec accuracy=33.690430 loss=2.995005 lr=0.097482 Epoch[050] Batch [1649]/[3760] Speed: 119.522961 samples/sec accuracy=33.645833 loss=2.996740 lr=0.097478 Epoch[050] Batch [1699]/[3760] Speed: 119.219463 samples/sec accuracy=33.602022 loss=2.998656 lr=0.097474 Epoch[050] Batch [1749]/[3760] Speed: 119.822967 samples/sec accuracy=33.587500 loss=2.999102 lr=0.097470 Epoch[050] Batch [1799]/[3760] Speed: 119.343130 samples/sec accuracy=33.601562 loss=2.998388 lr=0.097466 Epoch[050] Batch [1849]/[3760] Speed: 120.024187 samples/sec accuracy=33.624155 loss=2.998046 lr=0.097462 Epoch[050] Batch [1899]/[3760] Speed: 119.625415 samples/sec accuracy=33.618421 loss=2.998743 lr=0.097458 Epoch[050] Batch [1949]/[3760] Speed: 119.905229 samples/sec accuracy=33.621795 loss=2.999634 lr=0.097454 Epoch[050] Batch [1999]/[3760] Speed: 119.675271 samples/sec accuracy=33.634375 loss=2.999844 lr=0.097450 Epoch[050] Batch [2049]/[3760] Speed: 119.410248 samples/sec accuracy=33.669970 loss=2.998138 lr=0.097446 Epoch[050] Batch [2099]/[3760] Speed: 119.904951 samples/sec accuracy=33.685268 loss=2.998169 lr=0.097442 Epoch[050] Batch [2149]/[3760] Speed: 118.781994 samples/sec accuracy=33.644622 loss=3.000705 lr=0.097438 Epoch[050] Batch [2199]/[3760] Speed: 119.042378 samples/sec accuracy=33.639205 loss=3.001824 lr=0.097433 Epoch[050] Batch [2249]/[3760] Speed: 119.652208 samples/sec accuracy=33.619444 loss=3.002525 lr=0.097429 Epoch[050] Batch 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accuracy=33.497727 loss=3.009529 lr=0.097388 Epoch[050] Batch [2799]/[3760] Speed: 119.226372 samples/sec accuracy=33.493862 loss=3.008707 lr=0.097384 Epoch[050] Batch [2849]/[3760] Speed: 119.654214 samples/sec accuracy=33.467654 loss=3.010363 lr=0.097380 Epoch[050] Batch [2899]/[3760] Speed: 118.994032 samples/sec accuracy=33.462284 loss=3.010356 lr=0.097376 Epoch[050] Batch [2949]/[3760] Speed: 118.984556 samples/sec accuracy=33.489407 loss=3.010245 lr=0.097372 Epoch[050] Batch [2999]/[3760] Speed: 119.149771 samples/sec accuracy=33.495833 loss=3.010661 lr=0.097368 Epoch[050] Batch [3049]/[3760] Speed: 118.591224 samples/sec accuracy=33.505635 loss=3.009883 lr=0.097364 Epoch[050] Batch [3099]/[3760] Speed: 118.596618 samples/sec accuracy=33.499496 loss=3.010562 lr=0.097360 Epoch[050] Batch [3149]/[3760] Speed: 119.331559 samples/sec accuracy=33.529266 loss=3.009528 lr=0.097355 Epoch[050] Batch [3199]/[3760] Speed: 118.798164 samples/sec accuracy=33.532227 loss=3.009632 lr=0.097351 Epoch[050] Batch [3249]/[3760] Speed: 119.477291 samples/sec accuracy=33.520192 loss=3.010094 lr=0.097347 Epoch[050] Batch [3299]/[3760] Speed: 119.263248 samples/sec accuracy=33.518939 loss=3.009712 lr=0.097343 Epoch[050] Batch [3349]/[3760] Speed: 119.234971 samples/sec accuracy=33.520522 loss=3.010491 lr=0.097339 Epoch[050] Batch [3399]/[3760] Speed: 119.714584 samples/sec accuracy=33.528033 loss=3.010273 lr=0.097335 Epoch[050] Batch [3449]/[3760] Speed: 118.059831 samples/sec accuracy=33.511775 loss=3.011470 lr=0.097330 Epoch[050] Batch [3499]/[3760] Speed: 119.962420 samples/sec accuracy=33.479911 loss=3.013152 lr=0.097326 Epoch[050] Batch [3549]/[3760] Speed: 119.186461 samples/sec accuracy=33.455986 loss=3.013580 lr=0.097322 Epoch[050] Batch [3599]/[3760] Speed: 119.035712 samples/sec accuracy=33.456597 loss=3.013237 lr=0.097318 Epoch[050] Batch [3649]/[3760] Speed: 118.843644 samples/sec accuracy=33.465325 loss=3.012989 lr=0.097314 Epoch[050] Batch [3699]/[3760] Speed: 119.429103 samples/sec accuracy=33.467483 loss=3.012716 lr=0.097310 Epoch[050] Batch [3749]/[3760] Speed: 123.277112 samples/sec accuracy=33.465417 loss=3.013154 lr=0.097305 Batch [0049]/[0303]: acc-top1=34.156250 acc-top5=60.437500 Batch [0099]/[0303]: acc-top1=31.718750 acc-top5=58.546875 Batch [0149]/[0303]: acc-top1=32.802083 acc-top5=59.666667 Batch [0199]/[0303]: acc-top1=35.687500 acc-top5=62.039062 Batch [0249]/[0303]: acc-top1=35.056250 acc-top5=62.056250 Batch [0299]/[0303]: acc-top1=34.312500 acc-top5=62.093750 [Epoch 050] training: accuracy=33.464096 loss=3.013175 [Epoch 050] speed: 118 samples/sec time cost: 2144.565334 [Epoch 050] validation: acc-top1=34.292492 acc-top5=62.087459 loss=3.198057 Epoch[051] Batch [0049]/[3760] Speed: 86.788193 samples/sec accuracy=33.843750 loss=2.969906 lr=0.097300 Epoch[051] Batch [0099]/[3760] Speed: 118.638813 samples/sec accuracy=34.078125 loss=2.968627 lr=0.097296 Epoch[051] Batch [0149]/[3760] Speed: 118.782406 samples/sec accuracy=34.229167 loss=2.981206 lr=0.097292 Epoch[051] Batch [0199]/[3760] Speed: 119.185238 samples/sec accuracy=34.039062 loss=2.984581 lr=0.097288 Epoch[051] Batch [0249]/[3760] Speed: 118.915281 samples/sec accuracy=34.150000 loss=2.977433 lr=0.097284 Epoch[051] Batch [0299]/[3760] Speed: 118.548464 samples/sec accuracy=34.166667 loss=2.977604 lr=0.097280 Epoch[051] Batch [0349]/[3760] Speed: 119.127375 samples/sec accuracy=34.049107 loss=2.978645 lr=0.097275 Epoch[051] Batch [0399]/[3760] Speed: 119.316695 samples/sec accuracy=33.953125 loss=2.982224 lr=0.097271 Epoch[051] Batch [0449]/[3760] Speed: 118.651076 samples/sec accuracy=33.892361 loss=2.984651 lr=0.097267 Epoch[051] Batch [0499]/[3760] Speed: 119.432721 samples/sec accuracy=33.793750 loss=2.984208 lr=0.097263 Epoch[051] Batch [0549]/[3760] Speed: 118.520542 samples/sec accuracy=33.906250 loss=2.980257 lr=0.097259 Epoch[051] Batch [0599]/[3760] Speed: 119.074263 samples/sec accuracy=33.804688 loss=2.980389 lr=0.097254 Epoch[051] Batch [0649]/[3760] Speed: 118.863607 samples/sec accuracy=33.875000 loss=2.979497 lr=0.097250 Epoch[051] Batch [0699]/[3760] Speed: 118.665886 samples/sec accuracy=33.886161 loss=2.979885 lr=0.097246 Epoch[051] Batch [0749]/[3760] Speed: 118.704590 samples/sec accuracy=33.847917 loss=2.981304 lr=0.097242 Epoch[051] Batch [0799]/[3760] Speed: 119.065084 samples/sec accuracy=33.906250 loss=2.982050 lr=0.097237 Epoch[051] Batch [0849]/[3760] Speed: 119.123526 samples/sec accuracy=33.897059 loss=2.983289 lr=0.097233 Epoch[051] Batch [0899]/[3760] Speed: 119.318973 samples/sec accuracy=33.829861 loss=2.986691 lr=0.097229 Epoch[051] Batch [0949]/[3760] Speed: 119.246879 samples/sec accuracy=33.820724 loss=2.987608 lr=0.097225 Epoch[051] Batch [0999]/[3760] Speed: 119.274932 samples/sec accuracy=33.906250 loss=2.985870 lr=0.097220 Epoch[051] Batch [1049]/[3760] Speed: 119.838534 samples/sec accuracy=33.889881 loss=2.990336 lr=0.097216 Epoch[051] Batch [1099]/[3760] Speed: 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loss=2.992357 lr=0.097174 Epoch[051] Batch [1599]/[3760] Speed: 118.906943 samples/sec accuracy=33.875000 loss=2.992463 lr=0.097169 Epoch[051] Batch [1649]/[3760] Speed: 119.013159 samples/sec accuracy=33.868371 loss=2.993612 lr=0.097165 Epoch[051] Batch [1699]/[3760] Speed: 119.373395 samples/sec accuracy=33.859375 loss=2.993254 lr=0.097161 Epoch[051] Batch [1749]/[3760] Speed: 119.241518 samples/sec accuracy=33.873214 loss=2.991892 lr=0.097157 Epoch[051] Batch [1799]/[3760] Speed: 119.797549 samples/sec accuracy=33.872396 loss=2.992756 lr=0.097152 Epoch[051] Batch [1849]/[3760] Speed: 118.671429 samples/sec accuracy=33.877534 loss=2.993205 lr=0.097148 Epoch[051] Batch [1899]/[3760] Speed: 119.542740 samples/sec accuracy=33.891447 loss=2.992415 lr=0.097144 Epoch[051] Batch [1949]/[3760] Speed: 119.768451 samples/sec accuracy=33.933494 loss=2.990208 lr=0.097139 Epoch[051] Batch [1999]/[3760] Speed: 119.349616 samples/sec accuracy=33.975000 loss=2.989186 lr=0.097135 Epoch[051] Batch 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accuracy=33.819375 loss=2.996454 lr=0.097092 Epoch[051] Batch [2549]/[3760] Speed: 119.495104 samples/sec accuracy=33.816176 loss=2.997064 lr=0.097088 Epoch[051] Batch [2599]/[3760] Speed: 119.879111 samples/sec accuracy=33.824519 loss=2.996816 lr=0.097083 Epoch[051] Batch [2649]/[3760] Speed: 118.476647 samples/sec accuracy=33.808373 loss=2.997079 lr=0.097079 Epoch[051] Batch [2699]/[3760] Speed: 119.673294 samples/sec accuracy=33.804977 loss=2.998115 lr=0.097074 Epoch[051] Batch [2749]/[3760] Speed: 119.619702 samples/sec accuracy=33.816477 loss=2.997706 lr=0.097070 Epoch[051] Batch [2799]/[3760] Speed: 120.047500 samples/sec accuracy=33.760045 loss=3.000573 lr=0.097066 Epoch[051] Batch [2849]/[3760] Speed: 120.005483 samples/sec accuracy=33.754934 loss=3.001383 lr=0.097061 Epoch[051] Batch [2899]/[3760] Speed: 119.562242 samples/sec accuracy=33.735453 loss=3.001565 lr=0.097057 Epoch[051] Batch [2949]/[3760] Speed: 118.933315 samples/sec accuracy=33.702860 loss=3.003065 lr=0.097053 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Batch [0299]/[0303]: acc-top1=32.911458 acc-top5=60.187500 [Epoch 051] training: accuracy=33.703457 loss=3.003580 [Epoch 051] speed: 118 samples/sec time cost: 2146.785605 [Epoch 051] validation: acc-top1=32.931106 acc-top5=60.225866 loss=3.404989 Epoch[052] Batch [0049]/[3759] Speed: 89.028066 samples/sec accuracy=34.375000 loss=2.965586 lr=0.096977 Epoch[052] Batch [0099]/[3759] Speed: 119.713655 samples/sec accuracy=34.968750 loss=2.949728 lr=0.096973 Epoch[052] Batch [0149]/[3759] Speed: 119.513807 samples/sec accuracy=34.468750 loss=2.964114 lr=0.096968 Epoch[052] Batch [0199]/[3759] Speed: 120.024708 samples/sec accuracy=34.507812 loss=2.960437 lr=0.096964 Epoch[052] Batch [0249]/[3759] Speed: 120.043016 samples/sec accuracy=34.300000 loss=2.970550 lr=0.096960 Epoch[052] Batch [0299]/[3759] Speed: 119.260766 samples/sec accuracy=33.833333 loss=2.986369 lr=0.096955 Epoch[052] Batch [0349]/[3759] Speed: 119.348830 samples/sec accuracy=33.888393 loss=2.988941 lr=0.096951 Epoch[052] 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lr=0.096866 Epoch[052] Batch [1349]/[3759] Speed: 119.601464 samples/sec accuracy=33.995370 loss=2.983770 lr=0.096861 Epoch[052] Batch [1399]/[3759] Speed: 119.684932 samples/sec accuracy=33.976562 loss=2.986339 lr=0.096857 Epoch[052] Batch [1449]/[3759] Speed: 119.186959 samples/sec accuracy=34.003233 loss=2.986349 lr=0.096852 Epoch[052] Batch [1499]/[3759] Speed: 119.463020 samples/sec accuracy=34.040625 loss=2.983789 lr=0.096848 Epoch[052] Batch [1549]/[3759] Speed: 120.193355 samples/sec accuracy=34.036290 loss=2.984176 lr=0.096843 Epoch[052] Batch [1599]/[3759] Speed: 119.346615 samples/sec accuracy=34.071289 loss=2.984296 lr=0.096839 Epoch[052] Batch [1649]/[3759] Speed: 118.704131 samples/sec accuracy=34.040720 loss=2.984960 lr=0.096834 Epoch[052] Batch [1699]/[3759] Speed: 119.484949 samples/sec accuracy=34.034926 loss=2.986467 lr=0.096830 Epoch[052] Batch [1749]/[3759] Speed: 119.446234 samples/sec accuracy=34.034821 loss=2.985851 lr=0.096825 Epoch[052] Batch [1799]/[3759] 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accuracy=33.991667 loss=2.987943 lr=0.096780 Epoch[052] Batch [2299]/[3759] Speed: 119.118728 samples/sec accuracy=33.960598 loss=2.988831 lr=0.096775 Epoch[052] Batch [2349]/[3759] Speed: 119.171883 samples/sec accuracy=33.915559 loss=2.989398 lr=0.096771 Epoch[052] Batch [2399]/[3759] Speed: 118.897761 samples/sec accuracy=33.906901 loss=2.990208 lr=0.096766 Epoch[052] Batch [2449]/[3759] Speed: 119.269365 samples/sec accuracy=33.919643 loss=2.990540 lr=0.096762 Epoch[052] Batch [2499]/[3759] Speed: 118.541021 samples/sec accuracy=33.895625 loss=2.991361 lr=0.096757 Epoch[052] Batch [2549]/[3759] Speed: 118.468271 samples/sec accuracy=33.907475 loss=2.990921 lr=0.096752 Epoch[052] Batch [2599]/[3759] Speed: 119.221973 samples/sec accuracy=33.916466 loss=2.990095 lr=0.096748 Epoch[052] Batch [2649]/[3759] Speed: 119.473498 samples/sec accuracy=33.910967 loss=2.989990 lr=0.096743 Epoch[052] Batch [2699]/[3759] Speed: 119.354766 samples/sec accuracy=33.905093 loss=2.990712 lr=0.096739 Epoch[052] Batch [2749]/[3759] Speed: 118.632005 samples/sec accuracy=33.897727 loss=2.991065 lr=0.096734 Epoch[052] Batch [2799]/[3759] Speed: 119.328122 samples/sec accuracy=33.889509 loss=2.992350 lr=0.096730 Epoch[052] Batch [2849]/[3759] Speed: 118.514449 samples/sec accuracy=33.884320 loss=2.992176 lr=0.096725 Epoch[052] Batch [2899]/[3759] Speed: 118.972539 samples/sec accuracy=33.866379 loss=2.992800 lr=0.096720 Epoch[052] Batch [2949]/[3759] Speed: 119.500702 samples/sec accuracy=33.869174 loss=2.992214 lr=0.096716 Epoch[052] Batch [2999]/[3759] Speed: 119.240937 samples/sec accuracy=33.858854 loss=2.992759 lr=0.096711 Epoch[052] Batch [3049]/[3759] Speed: 120.098591 samples/sec accuracy=33.834529 loss=2.993463 lr=0.096707 Epoch[052] Batch [3099]/[3759] Speed: 119.128673 samples/sec accuracy=33.830645 loss=2.993738 lr=0.096702 Epoch[052] Batch [3149]/[3759] Speed: 119.728374 samples/sec accuracy=33.852679 loss=2.993019 lr=0.096697 Epoch[052] Batch [3199]/[3759] Speed: 119.447670 samples/sec accuracy=33.849609 loss=2.993792 lr=0.096693 Epoch[052] Batch [3249]/[3759] Speed: 119.798988 samples/sec accuracy=33.811058 loss=2.995274 lr=0.096688 Epoch[052] Batch [3299]/[3759] Speed: 118.930416 samples/sec accuracy=33.788826 loss=2.996042 lr=0.096684 Epoch[052] Batch [3349]/[3759] Speed: 119.059295 samples/sec accuracy=33.787313 loss=2.996095 lr=0.096679 Epoch[052] Batch [3399]/[3759] Speed: 118.927323 samples/sec accuracy=33.812500 loss=2.996138 lr=0.096674 Epoch[052] Batch [3449]/[3759] Speed: 119.462695 samples/sec accuracy=33.812953 loss=2.996629 lr=0.096670 Epoch[052] Batch [3499]/[3759] Speed: 119.448225 samples/sec accuracy=33.813393 loss=2.997131 lr=0.096665 Epoch[052] Batch [3549]/[3759] Speed: 119.146482 samples/sec accuracy=33.811180 loss=2.997129 lr=0.096660 Epoch[052] Batch [3599]/[3759] Speed: 119.191161 samples/sec accuracy=33.776476 loss=2.998629 lr=0.096656 Epoch[052] Batch [3649]/[3759] Speed: 120.128732 samples/sec accuracy=33.768836 loss=2.998916 lr=0.096651 Epoch[052] Batch [3699]/[3759] Speed: 119.137337 samples/sec accuracy=33.754645 loss=2.999436 lr=0.096646 Epoch[052] Batch [3749]/[3759] Speed: 123.764717 samples/sec accuracy=33.720833 loss=3.001221 lr=0.096642 Batch [0049]/[0303]: acc-top1=35.593750 acc-top5=61.437500 Batch [0099]/[0303]: acc-top1=32.343750 acc-top5=57.984375 Batch [0149]/[0303]: acc-top1=34.031250 acc-top5=59.510417 Batch [0199]/[0303]: acc-top1=36.101562 acc-top5=61.742188 Batch [0249]/[0303]: acc-top1=34.581250 acc-top5=61.018750 Batch [0299]/[0303]: acc-top1=33.744792 acc-top5=60.973958 [Epoch 052] training: accuracy=33.721984 loss=3.000988 [Epoch 052] speed: 118 samples/sec time cost: 2143.769714 [Epoch 052] validation: acc-top1=33.720091 acc-top5=60.958127 loss=3.210533 Epoch[053] Batch [0049]/[3760] Speed: 88.793396 samples/sec accuracy=33.125000 loss=2.994367 lr=0.096636 Epoch[053] Batch [0099]/[3760] Speed: 119.229920 samples/sec accuracy=33.406250 loss=2.982069 lr=0.096632 Epoch[053] Batch [0149]/[3760] Speed: 119.921422 samples/sec accuracy=33.333333 loss=2.984680 lr=0.096627 Epoch[053] Batch [0199]/[3760] Speed: 119.422289 samples/sec accuracy=33.179688 loss=2.984823 lr=0.096622 Epoch[053] Batch [0249]/[3760] Speed: 119.793975 samples/sec accuracy=33.768750 loss=2.965462 lr=0.096618 Epoch[053] Batch [0299]/[3760] Speed: 118.709135 samples/sec accuracy=33.838542 loss=2.969903 lr=0.096613 Epoch[053] Batch [0349]/[3760] Speed: 119.450649 samples/sec accuracy=33.772321 loss=2.972285 lr=0.096608 Epoch[053] Batch [0399]/[3760] Speed: 118.601459 samples/sec accuracy=33.792969 loss=2.968614 lr=0.096604 Epoch[053] Batch [0449]/[3760] Speed: 119.343153 samples/sec accuracy=33.697917 loss=2.970423 lr=0.096599 Epoch[053] Batch [0499]/[3760] Speed: 119.501880 samples/sec accuracy=33.756250 loss=2.977548 lr=0.096594 Epoch[053] Batch [0549]/[3760] Speed: 118.515739 samples/sec accuracy=33.792614 loss=2.974587 lr=0.096590 Epoch[053] Batch [0599]/[3760] Speed: 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accuracy=33.913281 loss=2.989966 lr=0.096453 Epoch[053] Batch [2049]/[3760] Speed: 118.932783 samples/sec accuracy=33.900915 loss=2.990516 lr=0.096448 Epoch[053] Batch [2099]/[3760] Speed: 118.577726 samples/sec accuracy=33.915923 loss=2.990282 lr=0.096443 Epoch[053] Batch [2149]/[3760] Speed: 119.295259 samples/sec accuracy=33.894622 loss=2.991716 lr=0.096438 Epoch[053] Batch [2199]/[3760] Speed: 120.115739 samples/sec accuracy=33.933239 loss=2.990642 lr=0.096434 Epoch[053] Batch [2249]/[3760] Speed: 118.534896 samples/sec accuracy=33.938889 loss=2.991582 lr=0.096429 Epoch[053] Batch [2299]/[3760] Speed: 119.515454 samples/sec accuracy=33.938179 loss=2.992095 lr=0.096424 Epoch[053] Batch [2349]/[3760] Speed: 119.265918 samples/sec accuracy=33.930186 loss=2.993028 lr=0.096419 Epoch[053] Batch [2399]/[3760] Speed: 119.863509 samples/sec accuracy=33.908203 loss=2.994397 lr=0.096414 Epoch[053] Batch [2449]/[3760] Speed: 119.071797 samples/sec accuracy=33.899872 loss=2.994955 lr=0.096410 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loss=2.993866 lr=0.096318 Epoch[053] Batch [3449]/[3760] Speed: 119.395130 samples/sec accuracy=33.929801 loss=2.994365 lr=0.096313 Epoch[053] Batch [3499]/[3760] Speed: 118.593625 samples/sec accuracy=33.933482 loss=2.993936 lr=0.096308 Epoch[053] Batch [3549]/[3760] Speed: 119.554713 samples/sec accuracy=33.915933 loss=2.994261 lr=0.096303 Epoch[053] Batch [3599]/[3760] Speed: 119.038489 samples/sec accuracy=33.905382 loss=2.994838 lr=0.096298 Epoch[053] Batch [3649]/[3760] Speed: 119.447844 samples/sec accuracy=33.916952 loss=2.994379 lr=0.096293 Epoch[053] Batch [3699]/[3760] Speed: 119.664697 samples/sec accuracy=33.899071 loss=2.994644 lr=0.096289 Epoch[053] Batch [3749]/[3760] Speed: 123.609664 samples/sec accuracy=33.900000 loss=2.994952 lr=0.096284 Batch [0049]/[0303]: acc-top1=35.031250 acc-top5=60.812500 Batch [0099]/[0303]: acc-top1=33.484375 acc-top5=59.890625 Batch [0149]/[0303]: acc-top1=33.822917 acc-top5=60.500000 Batch [0199]/[0303]: acc-top1=36.125000 acc-top5=62.078125 Batch [0249]/[0303]: acc-top1=35.587500 acc-top5=62.106250 Batch [0299]/[0303]: acc-top1=35.260417 acc-top5=62.187500 [Epoch 053] training: accuracy=33.895445 loss=2.995105 [Epoch 053] speed: 118 samples/sec time cost: 2145.064403 [Epoch 053] validation: acc-top1=35.251650 acc-top5=62.195751 loss=3.105546 Epoch[054] Batch [0049]/[3760] Speed: 88.880504 samples/sec accuracy=34.593750 loss=3.014412 lr=0.096278 Epoch[054] Batch [0099]/[3760] Speed: 118.882728 samples/sec accuracy=34.250000 loss=2.999483 lr=0.096273 Epoch[054] Batch [0149]/[3760] Speed: 119.159905 samples/sec accuracy=33.812500 loss=3.003616 lr=0.096268 Epoch[054] Batch [0199]/[3760] Speed: 119.385369 samples/sec accuracy=33.937500 loss=2.989729 lr=0.096263 Epoch[054] Batch [0249]/[3760] Speed: 119.396675 samples/sec accuracy=34.025000 loss=2.978537 lr=0.096258 Epoch[054] Batch [0299]/[3760] Speed: 119.796149 samples/sec accuracy=34.098958 loss=2.976325 lr=0.096253 Epoch[054] Batch [0349]/[3760] Speed: 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accuracy=33.942857 loss=2.986044 lr=0.096110 Epoch[054] Batch [1799]/[3760] Speed: 119.532927 samples/sec accuracy=33.948785 loss=2.986970 lr=0.096105 Epoch[054] Batch [1849]/[3760] Speed: 119.116613 samples/sec accuracy=33.915541 loss=2.988549 lr=0.096100 Epoch[054] Batch [1899]/[3760] Speed: 118.999514 samples/sec accuracy=33.896382 loss=2.989226 lr=0.096095 Epoch[054] Batch [1949]/[3760] Speed: 119.227930 samples/sec accuracy=33.879808 loss=2.990472 lr=0.096090 Epoch[054] Batch [1999]/[3760] Speed: 119.316673 samples/sec accuracy=33.867188 loss=2.989937 lr=0.096085 Epoch[054] Batch [2049]/[3760] Speed: 119.527282 samples/sec accuracy=33.850610 loss=2.990311 lr=0.096080 Epoch[054] Batch [2099]/[3760] Speed: 119.778481 samples/sec accuracy=33.852679 loss=2.990790 lr=0.096075 Epoch[054] Batch [2149]/[3760] Speed: 119.520289 samples/sec accuracy=33.840116 loss=2.991436 lr=0.096070 Epoch[054] Batch [2199]/[3760] Speed: 118.438933 samples/sec accuracy=33.877131 loss=2.989298 lr=0.096065 Epoch[054] Batch [2249]/[3760] Speed: 119.358578 samples/sec accuracy=33.861806 loss=2.989344 lr=0.096060 Epoch[054] Batch [2299]/[3760] Speed: 119.998040 samples/sec accuracy=33.863451 loss=2.989436 lr=0.096055 Epoch[054] Batch [2349]/[3760] Speed: 119.351230 samples/sec accuracy=33.827128 loss=2.990030 lr=0.096050 Epoch[054] Batch [2399]/[3760] Speed: 120.125700 samples/sec accuracy=33.839844 loss=2.990108 lr=0.096045 Epoch[054] Batch [2449]/[3760] Speed: 118.804171 samples/sec accuracy=33.876276 loss=2.989299 lr=0.096040 Epoch[054] Batch [2499]/[3760] Speed: 118.512328 samples/sec accuracy=33.873750 loss=2.989461 lr=0.096035 Epoch[054] Batch [2549]/[3760] Speed: 118.854938 samples/sec accuracy=33.865196 loss=2.989514 lr=0.096030 Epoch[054] Batch [2599]/[3760] Speed: 119.031507 samples/sec accuracy=33.858774 loss=2.990427 lr=0.096025 Epoch[054] Batch [2649]/[3760] Speed: 120.122612 samples/sec accuracy=33.862028 loss=2.990543 lr=0.096020 Epoch[054] Batch [2699]/[3760] Speed: 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loss=2.994407 lr=0.095969 Epoch[054] Batch [3199]/[3760] Speed: 119.723997 samples/sec accuracy=33.817871 loss=2.995559 lr=0.095964 Epoch[054] Batch [3249]/[3760] Speed: 119.833524 samples/sec accuracy=33.805769 loss=2.996380 lr=0.095959 Epoch[054] Batch [3299]/[3760] Speed: 118.967805 samples/sec accuracy=33.813920 loss=2.996100 lr=0.095954 Epoch[054] Batch [3349]/[3760] Speed: 118.775174 samples/sec accuracy=33.816698 loss=2.995716 lr=0.095949 Epoch[054] Batch [3399]/[3760] Speed: 118.733760 samples/sec accuracy=33.822151 loss=2.995524 lr=0.095944 Epoch[054] Batch [3449]/[3760] Speed: 118.551397 samples/sec accuracy=33.810688 loss=2.996019 lr=0.095939 Epoch[054] Batch [3499]/[3760] Speed: 118.934588 samples/sec accuracy=33.819643 loss=2.995836 lr=0.095934 Epoch[054] Batch [3549]/[3760] Speed: 119.056934 samples/sec accuracy=33.829665 loss=2.995012 lr=0.095929 Epoch[054] Batch [3599]/[3760] Speed: 118.760036 samples/sec accuracy=33.843316 loss=2.994755 lr=0.095923 Epoch[054] Batch [3649]/[3760] Speed: 120.135457 samples/sec accuracy=33.832192 loss=2.995864 lr=0.095918 Epoch[054] Batch [3699]/[3760] Speed: 118.468971 samples/sec accuracy=33.826436 loss=2.996529 lr=0.095913 Epoch[054] Batch [3749]/[3760] Speed: 123.749007 samples/sec accuracy=33.831667 loss=2.996264 lr=0.095908 Batch [0049]/[0303]: acc-top1=33.187500 acc-top5=59.312500 Batch [0099]/[0303]: acc-top1=30.812500 acc-top5=56.906250 Batch [0149]/[0303]: acc-top1=31.604167 acc-top5=57.812500 Batch [0199]/[0303]: acc-top1=34.289062 acc-top5=60.320312 Batch [0249]/[0303]: acc-top1=33.581250 acc-top5=60.175000 Batch [0299]/[0303]: acc-top1=33.093750 acc-top5=60.359375 [Epoch 054] training: accuracy=33.830618 loss=2.996322 [Epoch 054] speed: 118 samples/sec time cost: 2145.452451 [Epoch 054] validation: acc-top1=33.060025 acc-top5=60.416667 loss=3.280688 Epoch[055] Batch [0049]/[3759] Speed: 88.588751 samples/sec accuracy=34.281250 loss=2.938595 lr=0.095902 Epoch[055] Batch [0099]/[3759] Speed: 119.975890 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accuracy=34.060417 loss=2.977488 lr=0.095752 Epoch[055] Batch [1549]/[3759] Speed: 118.530176 samples/sec accuracy=34.069556 loss=2.978833 lr=0.095747 Epoch[055] Batch [1599]/[3759] Speed: 118.673458 samples/sec accuracy=34.038086 loss=2.979532 lr=0.095742 Epoch[055] Batch [1649]/[3759] Speed: 119.262190 samples/sec accuracy=34.052083 loss=2.978109 lr=0.095737 Epoch[055] Batch [1699]/[3759] Speed: 119.329153 samples/sec accuracy=34.061581 loss=2.978136 lr=0.095732 Epoch[055] Batch [1749]/[3759] Speed: 119.008245 samples/sec accuracy=34.082143 loss=2.975960 lr=0.095726 Epoch[055] Batch [1799]/[3759] Speed: 119.864136 samples/sec accuracy=34.046875 loss=2.977167 lr=0.095721 Epoch[055] Batch [1849]/[3759] Speed: 119.388475 samples/sec accuracy=34.077703 loss=2.976112 lr=0.095716 Epoch[055] Batch [1899]/[3759] Speed: 118.462789 samples/sec accuracy=34.098684 loss=2.974673 lr=0.095711 Epoch[055] Batch [1949]/[3759] Speed: 119.423073 samples/sec accuracy=34.092147 loss=2.974512 lr=0.095705 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loss=2.980774 lr=0.095606 Epoch[055] Batch [2949]/[3759] Speed: 119.239933 samples/sec accuracy=34.012712 loss=2.980783 lr=0.095600 Epoch[055] Batch [2999]/[3759] Speed: 119.597634 samples/sec accuracy=33.981250 loss=2.981458 lr=0.095595 Epoch[055] Batch [3049]/[3759] Speed: 118.794726 samples/sec accuracy=33.968238 loss=2.982285 lr=0.095590 Epoch[055] Batch [3099]/[3759] Speed: 119.689267 samples/sec accuracy=33.968246 loss=2.982273 lr=0.095584 Epoch[055] Batch [3149]/[3759] Speed: 119.490961 samples/sec accuracy=33.980159 loss=2.982342 lr=0.095579 Epoch[055] Batch [3199]/[3759] Speed: 118.888514 samples/sec accuracy=33.995117 loss=2.982972 lr=0.095574 Epoch[055] Batch [3249]/[3759] Speed: 120.069571 samples/sec accuracy=33.991346 loss=2.983157 lr=0.095568 Epoch[055] Batch [3299]/[3759] Speed: 118.958687 samples/sec accuracy=34.000473 loss=2.982333 lr=0.095563 Epoch[055] Batch [3349]/[3759] Speed: 119.467391 samples/sec accuracy=34.000466 loss=2.982424 lr=0.095558 Epoch[055] Batch 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acc-top5=59.864583 Batch [0199]/[0303]: acc-top1=36.570312 acc-top5=62.281250 Batch [0249]/[0303]: acc-top1=35.593750 acc-top5=61.881250 Batch [0299]/[0303]: acc-top1=34.760417 acc-top5=61.828125 [Epoch 055] training: accuracy=33.928156 loss=2.984850 [Epoch 055] speed: 118 samples/sec time cost: 2144.554220 [Epoch 055] validation: acc-top1=34.854579 acc-top5=61.881188 loss=3.076045 Epoch[056] Batch [0049]/[3760] Speed: 87.122015 samples/sec accuracy=34.718750 loss=2.934573 lr=0.095509 Epoch[056] Batch [0099]/[3760] Speed: 118.912673 samples/sec accuracy=34.109375 loss=2.958227 lr=0.095504 Epoch[056] Batch [0149]/[3760] Speed: 118.743706 samples/sec accuracy=34.364583 loss=2.957012 lr=0.095498 Epoch[056] Batch [0199]/[3760] Speed: 118.898964 samples/sec accuracy=34.375000 loss=2.958471 lr=0.095493 Epoch[056] Batch [0249]/[3760] Speed: 119.273431 samples/sec accuracy=34.331250 loss=2.951207 lr=0.095488 Epoch[056] Batch [0299]/[3760] Speed: 119.337515 samples/sec accuracy=34.453125 loss=2.947014 lr=0.095482 Epoch[056] Batch [0349]/[3760] Speed: 120.238870 samples/sec accuracy=34.705357 loss=2.935132 lr=0.095477 Epoch[056] Batch [0399]/[3760] Speed: 119.521959 samples/sec accuracy=34.765625 loss=2.938869 lr=0.095471 Epoch[056] Batch [0449]/[3760] Speed: 119.408360 samples/sec accuracy=34.631944 loss=2.944070 lr=0.095466 Epoch[056] Batch [0499]/[3760] Speed: 119.659514 samples/sec accuracy=34.606250 loss=2.947985 lr=0.095461 Epoch[056] Batch [0549]/[3760] Speed: 119.168863 samples/sec accuracy=34.448864 loss=2.959037 lr=0.095455 Epoch[056] Batch [0599]/[3760] Speed: 119.423945 samples/sec accuracy=34.463542 loss=2.958726 lr=0.095450 Epoch[056] Batch [0649]/[3760] Speed: 119.362734 samples/sec accuracy=34.377404 loss=2.963483 lr=0.095445 Epoch[056] Batch [0699]/[3760] Speed: 118.750645 samples/sec accuracy=34.383929 loss=2.964678 lr=0.095439 Epoch[056] Batch [0749]/[3760] Speed: 118.967426 samples/sec accuracy=34.297917 loss=2.967387 lr=0.095434 Epoch[056] Batch 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accuracy=34.176250 loss=2.974570 lr=0.095380 Epoch[056] Batch [1299]/[3760] Speed: 119.447364 samples/sec accuracy=34.209135 loss=2.974537 lr=0.095374 Epoch[056] Batch [1349]/[3760] Speed: 119.386975 samples/sec accuracy=34.219907 loss=2.972885 lr=0.095369 Epoch[056] Batch [1399]/[3760] Speed: 119.610046 samples/sec accuracy=34.256696 loss=2.972182 lr=0.095364 Epoch[056] Batch [1449]/[3760] Speed: 119.220975 samples/sec accuracy=34.268319 loss=2.971378 lr=0.095358 Epoch[056] Batch [1499]/[3760] Speed: 119.027102 samples/sec accuracy=34.243750 loss=2.972211 lr=0.095353 Epoch[056] Batch [1549]/[3760] Speed: 119.734925 samples/sec accuracy=34.222782 loss=2.974021 lr=0.095347 Epoch[056] Batch [1599]/[3760] Speed: 119.134929 samples/sec accuracy=34.223633 loss=2.973497 lr=0.095342 Epoch[056] Batch [1649]/[3760] Speed: 119.065758 samples/sec accuracy=34.236742 loss=2.975669 lr=0.095336 Epoch[056] Batch [1699]/[3760] Speed: 118.611946 samples/sec accuracy=34.294118 loss=2.973501 lr=0.095331 Epoch[056] Batch [1749]/[3760] Speed: 119.340174 samples/sec accuracy=34.308036 loss=2.971596 lr=0.095326 Epoch[056] Batch [1799]/[3760] Speed: 119.203066 samples/sec accuracy=34.336806 loss=2.970465 lr=0.095320 Epoch[056] Batch [1849]/[3760] Speed: 119.275796 samples/sec accuracy=34.314189 loss=2.970987 lr=0.095315 Epoch[056] Batch [1899]/[3760] Speed: 119.131493 samples/sec accuracy=34.311678 loss=2.972102 lr=0.095309 Epoch[056] Batch [1949]/[3760] Speed: 119.039134 samples/sec accuracy=34.303686 loss=2.971711 lr=0.095304 Epoch[056] Batch [1999]/[3760] Speed: 118.864756 samples/sec accuracy=34.281250 loss=2.973134 lr=0.095298 Epoch[056] Batch [2049]/[3760] Speed: 119.772353 samples/sec accuracy=34.262195 loss=2.974882 lr=0.095293 Epoch[056] Batch [2099]/[3760] Speed: 119.411776 samples/sec accuracy=34.249256 loss=2.975733 lr=0.095287 Epoch[056] Batch [2149]/[3760] Speed: 118.953068 samples/sec accuracy=34.234738 loss=2.976869 lr=0.095282 Epoch[056] Batch [2199]/[3760] Speed: 119.209941 samples/sec accuracy=34.232244 loss=2.977102 lr=0.095276 Epoch[056] Batch [2249]/[3760] Speed: 119.506874 samples/sec accuracy=34.216667 loss=2.977156 lr=0.095271 Epoch[056] Batch [2299]/[3760] Speed: 119.376040 samples/sec accuracy=34.186821 loss=2.977543 lr=0.095265 Epoch[056] Batch [2349]/[3760] Speed: 119.979229 samples/sec accuracy=34.185505 loss=2.977362 lr=0.095260 Epoch[056] Batch [2399]/[3760] Speed: 118.716017 samples/sec accuracy=34.149089 loss=2.978701 lr=0.095255 Epoch[056] Batch [2449]/[3760] Speed: 119.339548 samples/sec accuracy=34.170918 loss=2.977903 lr=0.095249 Epoch[056] Batch [2499]/[3760] Speed: 118.757653 samples/sec accuracy=34.180625 loss=2.977222 lr=0.095244 Epoch[056] Batch [2549]/[3760] Speed: 118.698905 samples/sec accuracy=34.197917 loss=2.976948 lr=0.095238 Epoch[056] Batch [2599]/[3760] Speed: 119.825118 samples/sec accuracy=34.210938 loss=2.975792 lr=0.095233 Epoch[056] Batch [2649]/[3760] Speed: 118.938178 samples/sec accuracy=34.188090 loss=2.976385 lr=0.095227 Epoch[056] Batch [2699]/[3760] Speed: 119.592733 samples/sec accuracy=34.177083 loss=2.977508 lr=0.095222 Epoch[056] Batch [2749]/[3760] Speed: 119.252873 samples/sec accuracy=34.160795 loss=2.978747 lr=0.095216 Epoch[056] Batch [2799]/[3760] Speed: 119.532585 samples/sec accuracy=34.163504 loss=2.979134 lr=0.095211 Epoch[056] Batch [2849]/[3760] Speed: 119.686361 samples/sec accuracy=34.161732 loss=2.978899 lr=0.095205 Epoch[056] Batch [2899]/[3760] Speed: 119.209139 samples/sec accuracy=34.144397 loss=2.979707 lr=0.095200 Epoch[056] Batch [2949]/[3760] Speed: 120.335666 samples/sec accuracy=34.135064 loss=2.980091 lr=0.095194 Epoch[056] Batch [2999]/[3760] Speed: 119.635130 samples/sec accuracy=34.145833 loss=2.979844 lr=0.095188 Epoch[056] Batch [3049]/[3760] Speed: 118.524946 samples/sec accuracy=34.158299 loss=2.979200 lr=0.095183 Epoch[056] Batch [3099]/[3760] Speed: 118.989707 samples/sec accuracy=34.154234 loss=2.980006 lr=0.095177 Epoch[056] Batch [3149]/[3760] Speed: 119.724837 samples/sec accuracy=34.153770 loss=2.981104 lr=0.095172 Epoch[056] Batch [3199]/[3760] Speed: 119.393302 samples/sec accuracy=34.151367 loss=2.981730 lr=0.095166 Epoch[056] Batch [3249]/[3760] Speed: 119.247260 samples/sec accuracy=34.173077 loss=2.981131 lr=0.095161 Epoch[056] Batch [3299]/[3760] Speed: 119.013255 samples/sec accuracy=34.170928 loss=2.981106 lr=0.095155 Epoch[056] Batch [3349]/[3760] Speed: 119.310550 samples/sec accuracy=34.191698 loss=2.980520 lr=0.095150 Epoch[056] Batch [3399]/[3760] Speed: 119.437348 samples/sec accuracy=34.175092 loss=2.981249 lr=0.095144 Epoch[056] Batch [3449]/[3760] Speed: 118.536314 samples/sec accuracy=34.176178 loss=2.981187 lr=0.095139 Epoch[056] Batch [3499]/[3760] Speed: 119.360611 samples/sec accuracy=34.150446 loss=2.982539 lr=0.095133 Epoch[056] Batch [3549]/[3760] Speed: 119.464992 samples/sec accuracy=34.121919 loss=2.984058 lr=0.095128 Epoch[056] Batch [3599]/[3760] Speed: 119.526330 samples/sec accuracy=34.098090 loss=2.985535 lr=0.095122 Epoch[056] Batch [3649]/[3760] Speed: 119.184568 samples/sec accuracy=34.096318 loss=2.985536 lr=0.095116 Epoch[056] Batch [3699]/[3760] Speed: 119.246225 samples/sec accuracy=34.091216 loss=2.985566 lr=0.095111 Epoch[056] Batch [3749]/[3760] Speed: 122.827287 samples/sec accuracy=34.084167 loss=2.985746 lr=0.095105 Batch [0049]/[0303]: acc-top1=33.968750 acc-top5=61.906250 Batch [0099]/[0303]: acc-top1=30.984375 acc-top5=57.078125 Batch [0149]/[0303]: acc-top1=31.750000 acc-top5=57.854167 Batch [0199]/[0303]: acc-top1=34.828125 acc-top5=60.734375 Batch [0249]/[0303]: acc-top1=34.262500 acc-top5=60.762500 Batch [0299]/[0303]: acc-top1=33.442708 acc-top5=60.640625 [Epoch 056] training: accuracy=34.084109 loss=2.985824 [Epoch 056] speed: 118 samples/sec time cost: 2145.971813 [Epoch 056] validation: acc-top1=33.384901 acc-top5=60.689975 loss=3.264040 Epoch[057] Batch [0049]/[3760] Speed: 88.301804 samples/sec accuracy=34.750000 loss=2.924906 lr=0.095099 Epoch[057] Batch [0099]/[3760] Speed: 119.389365 samples/sec accuracy=34.484375 loss=2.940885 lr=0.095093 Epoch[057] Batch [0149]/[3760] Speed: 118.838419 samples/sec accuracy=34.114583 loss=2.973090 lr=0.095088 Epoch[057] Batch [0199]/[3760] Speed: 119.558156 samples/sec accuracy=34.531250 loss=2.958389 lr=0.095082 Epoch[057] Batch [0249]/[3760] Speed: 118.886377 samples/sec accuracy=34.581250 loss=2.953738 lr=0.095076 Epoch[057] Batch [0299]/[3760] Speed: 119.719053 samples/sec accuracy=34.781250 loss=2.952490 lr=0.095071 Epoch[057] Batch [0349]/[3760] Speed: 119.256116 samples/sec accuracy=34.433036 loss=2.962407 lr=0.095065 Epoch[057] Batch [0399]/[3760] Speed: 119.750920 samples/sec accuracy=34.394531 loss=2.959003 lr=0.095060 Epoch[057] Batch [0449]/[3760] Speed: 119.683423 samples/sec accuracy=34.500000 loss=2.957297 lr=0.095054 Epoch[057] Batch [0499]/[3760] Speed: 119.490891 samples/sec accuracy=34.565625 loss=2.950662 lr=0.095048 Epoch[057] Batch [0549]/[3760] 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accuracy=34.595312 loss=2.957674 lr=0.094992 Epoch[057] Batch [1049]/[3760] Speed: 119.873045 samples/sec accuracy=34.574405 loss=2.960147 lr=0.094987 Epoch[057] Batch [1099]/[3760] Speed: 118.573273 samples/sec accuracy=34.504261 loss=2.962722 lr=0.094981 Epoch[057] Batch [1149]/[3760] Speed: 118.599765 samples/sec accuracy=34.385870 loss=2.967111 lr=0.094975 Epoch[057] Batch [1199]/[3760] Speed: 119.382671 samples/sec accuracy=34.399740 loss=2.967072 lr=0.094970 Epoch[057] Batch [1249]/[3760] Speed: 118.557631 samples/sec accuracy=34.373750 loss=2.968734 lr=0.094964 Epoch[057] Batch [1299]/[3760] Speed: 119.873684 samples/sec accuracy=34.423077 loss=2.967590 lr=0.094959 Epoch[057] Batch [1349]/[3760] Speed: 119.135979 samples/sec accuracy=34.476852 loss=2.966431 lr=0.094953 Epoch[057] Batch [1399]/[3760] Speed: 118.615494 samples/sec accuracy=34.493304 loss=2.965419 lr=0.094947 Epoch[057] Batch [1449]/[3760] Speed: 119.277332 samples/sec accuracy=34.487069 loss=2.963784 lr=0.094942 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loss=2.970073 lr=0.094834 Epoch[057] Batch [2449]/[3760] Speed: 119.462912 samples/sec accuracy=34.329719 loss=2.971203 lr=0.094828 Epoch[057] Batch [2499]/[3760] Speed: 118.529533 samples/sec accuracy=34.303750 loss=2.971706 lr=0.094822 Epoch[057] Batch [2549]/[3760] Speed: 120.320382 samples/sec accuracy=34.302083 loss=2.971589 lr=0.094816 Epoch[057] Batch [2599]/[3760] Speed: 119.855515 samples/sec accuracy=34.304688 loss=2.971688 lr=0.094811 Epoch[057] Batch [2649]/[3760] Speed: 118.984733 samples/sec accuracy=34.304835 loss=2.972359 lr=0.094805 Epoch[057] Batch [2699]/[3760] Speed: 119.999840 samples/sec accuracy=34.291088 loss=2.972243 lr=0.094799 Epoch[057] Batch [2749]/[3760] Speed: 119.614450 samples/sec accuracy=34.269886 loss=2.972554 lr=0.094794 Epoch[057] Batch [2799]/[3760] Speed: 120.430062 samples/sec accuracy=34.263393 loss=2.972764 lr=0.094788 Epoch[057] Batch [2849]/[3760] Speed: 119.659196 samples/sec accuracy=34.247259 loss=2.973429 lr=0.094782 Epoch[057] Batch 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accuracy=34.268657 loss=2.975819 lr=0.094725 Epoch[057] Batch [3399]/[3760] Speed: 119.354216 samples/sec accuracy=34.275735 loss=2.975934 lr=0.094719 Epoch[057] Batch [3449]/[3760] Speed: 119.259595 samples/sec accuracy=34.271286 loss=2.976895 lr=0.094713 Epoch[057] Batch [3499]/[3760] Speed: 118.838030 samples/sec accuracy=34.250446 loss=2.977915 lr=0.094707 Epoch[057] Batch [3549]/[3760] Speed: 119.209283 samples/sec accuracy=34.259683 loss=2.977611 lr=0.094702 Epoch[057] Batch [3599]/[3760] Speed: 119.331872 samples/sec accuracy=34.265191 loss=2.977699 lr=0.094696 Epoch[057] Batch [3649]/[3760] Speed: 119.408652 samples/sec accuracy=34.267551 loss=2.977525 lr=0.094690 Epoch[057] Batch [3699]/[3760] Speed: 119.747000 samples/sec accuracy=34.238176 loss=2.978894 lr=0.094684 Epoch[057] Batch [3749]/[3760] Speed: 123.216879 samples/sec accuracy=34.222083 loss=2.979183 lr=0.094678 Batch [0049]/[0303]: acc-top1=33.625000 acc-top5=59.875000 Batch [0099]/[0303]: acc-top1=31.578125 acc-top5=58.281250 Batch [0149]/[0303]: acc-top1=32.104167 acc-top5=58.333333 Batch [0199]/[0303]: acc-top1=34.687500 acc-top5=60.398438 Batch [0249]/[0303]: acc-top1=34.093750 acc-top5=60.506250 Batch [0299]/[0303]: acc-top1=33.567708 acc-top5=60.453125 [Epoch 057] training: accuracy=34.221243 loss=2.979243 [Epoch 057] speed: 118 samples/sec time cost: 2140.311121 [Epoch 057] validation: acc-top1=33.627269 acc-top5=60.504332 loss=3.153441 Epoch[058] Batch [0049]/[3759] Speed: 86.555495 samples/sec accuracy=35.531250 loss=2.890965 lr=0.094671 Epoch[058] Batch [0099]/[3759] Speed: 119.983918 samples/sec accuracy=35.265625 loss=2.908717 lr=0.094666 Epoch[058] Batch [0149]/[3759] Speed: 119.499986 samples/sec accuracy=35.333333 loss=2.903270 lr=0.094660 Epoch[058] Batch [0199]/[3759] Speed: 119.788598 samples/sec accuracy=35.203125 loss=2.897875 lr=0.094654 Epoch[058] Batch [0249]/[3759] Speed: 119.137718 samples/sec accuracy=35.306250 loss=2.906583 lr=0.094648 Epoch[058] Batch 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accuracy=34.408333 loss=2.949639 lr=0.094590 Epoch[058] Batch [0799]/[3759] Speed: 119.009693 samples/sec accuracy=34.365234 loss=2.953165 lr=0.094584 Epoch[058] Batch [0849]/[3759] Speed: 119.478469 samples/sec accuracy=34.352941 loss=2.951385 lr=0.094578 Epoch[058] Batch [0899]/[3759] Speed: 118.449466 samples/sec accuracy=34.258681 loss=2.954762 lr=0.094573 Epoch[058] Batch [0949]/[3759] Speed: 119.778716 samples/sec accuracy=34.297697 loss=2.953842 lr=0.094567 Epoch[058] Batch [0999]/[3759] Speed: 119.470319 samples/sec accuracy=34.368750 loss=2.952154 lr=0.094561 Epoch[058] Batch [1049]/[3759] Speed: 118.391638 samples/sec accuracy=34.297619 loss=2.956664 lr=0.094555 Epoch[058] Batch [1099]/[3759] Speed: 119.438534 samples/sec accuracy=34.268466 loss=2.958486 lr=0.094549 Epoch[058] Batch [1149]/[3759] Speed: 119.112136 samples/sec accuracy=34.236413 loss=2.959054 lr=0.094543 Epoch[058] Batch [1199]/[3759] Speed: 119.499289 samples/sec accuracy=34.242188 loss=2.961355 lr=0.094537 Epoch[058] Batch [1249]/[3759] Speed: 119.514805 samples/sec accuracy=34.211250 loss=2.961982 lr=0.094532 Epoch[058] Batch [1299]/[3759] Speed: 118.893585 samples/sec accuracy=34.269231 loss=2.960571 lr=0.094526 Epoch[058] Batch [1349]/[3759] Speed: 119.126523 samples/sec accuracy=34.288194 loss=2.961213 lr=0.094520 Epoch[058] Batch [1399]/[3759] Speed: 120.508352 samples/sec accuracy=34.287946 loss=2.961967 lr=0.094514 Epoch[058] Batch [1449]/[3759] Speed: 119.597124 samples/sec accuracy=34.257543 loss=2.963257 lr=0.094508 Epoch[058] Batch [1499]/[3759] Speed: 119.946718 samples/sec accuracy=34.264583 loss=2.963607 lr=0.094502 Epoch[058] Batch [1549]/[3759] Speed: 119.977754 samples/sec accuracy=34.315524 loss=2.962156 lr=0.094496 Epoch[058] Batch [1599]/[3759] Speed: 118.968770 samples/sec accuracy=34.298828 loss=2.962150 lr=0.094490 Epoch[058] Batch [1649]/[3759] Speed: 119.159565 samples/sec accuracy=34.325758 loss=2.961083 lr=0.094485 Epoch[058] Batch [1699]/[3759] Speed: 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loss=2.960733 lr=0.094425 Epoch[058] Batch [2199]/[3759] Speed: 119.649688 samples/sec accuracy=34.330256 loss=2.960971 lr=0.094420 Epoch[058] Batch [2249]/[3759] Speed: 119.766949 samples/sec accuracy=34.331944 loss=2.960686 lr=0.094414 Epoch[058] Batch [2299]/[3759] Speed: 119.523629 samples/sec accuracy=34.328804 loss=2.961047 lr=0.094408 Epoch[058] Batch [2349]/[3759] Speed: 119.800457 samples/sec accuracy=34.317819 loss=2.961189 lr=0.094402 Epoch[058] Batch [2399]/[3759] Speed: 119.507774 samples/sec accuracy=34.302083 loss=2.962070 lr=0.094396 Epoch[058] Batch [2449]/[3759] Speed: 119.036014 samples/sec accuracy=34.299745 loss=2.963283 lr=0.094390 Epoch[058] Batch [2499]/[3759] Speed: 118.819472 samples/sec accuracy=34.285000 loss=2.964009 lr=0.094384 Epoch[058] Batch [2549]/[3759] Speed: 119.419316 samples/sec accuracy=34.273284 loss=2.964294 lr=0.094378 Epoch[058] Batch [2599]/[3759] Speed: 119.570882 samples/sec accuracy=34.272236 loss=2.963589 lr=0.094372 Epoch[058] Batch [2649]/[3759] Speed: 118.660148 samples/sec accuracy=34.258844 loss=2.964343 lr=0.094366 Epoch[058] Batch [2699]/[3759] Speed: 118.632002 samples/sec accuracy=34.227431 loss=2.966256 lr=0.094360 Epoch[058] Batch [2749]/[3759] Speed: 120.284594 samples/sec accuracy=34.241477 loss=2.966131 lr=0.094354 Epoch[058] Batch [2799]/[3759] Speed: 119.780178 samples/sec accuracy=34.246652 loss=2.966315 lr=0.094348 Epoch[058] Batch [2849]/[3759] Speed: 119.133185 samples/sec accuracy=34.230811 loss=2.967262 lr=0.094342 Epoch[058] Batch [2899]/[3759] Speed: 119.281491 samples/sec accuracy=34.225216 loss=2.966522 lr=0.094336 Epoch[058] Batch [2949]/[3759] Speed: 119.111393 samples/sec accuracy=34.215042 loss=2.966861 lr=0.094330 Epoch[058] Batch [2999]/[3759] Speed: 120.072448 samples/sec accuracy=34.208854 loss=2.966651 lr=0.094324 Epoch[058] Batch [3049]/[3759] Speed: 119.167008 samples/sec accuracy=34.201332 loss=2.967565 lr=0.094318 Epoch[058] Batch [3099]/[3759] Speed: 119.697992 samples/sec accuracy=34.196069 loss=2.967963 lr=0.094312 Epoch[058] Batch [3149]/[3759] Speed: 119.160677 samples/sec accuracy=34.171131 loss=2.968190 lr=0.094307 Epoch[058] Batch [3199]/[3759] Speed: 118.547593 samples/sec accuracy=34.165527 loss=2.968303 lr=0.094301 Epoch[058] Batch [3249]/[3759] Speed: 118.967321 samples/sec accuracy=34.166827 loss=2.969151 lr=0.094295 Epoch[058] Batch [3299]/[3759] Speed: 119.269944 samples/sec accuracy=34.140152 loss=2.970167 lr=0.094289 Epoch[058] Batch [3349]/[3759] Speed: 120.679675 samples/sec accuracy=34.146455 loss=2.969981 lr=0.094283 Epoch[058] Batch [3399]/[3759] Speed: 119.054195 samples/sec accuracy=34.129136 loss=2.970737 lr=0.094277 Epoch[058] Batch [3449]/[3759] Speed: 118.653784 samples/sec accuracy=34.115942 loss=2.970712 lr=0.094271 Epoch[058] Batch [3499]/[3759] Speed: 118.954947 samples/sec accuracy=34.110714 loss=2.970337 lr=0.094265 Epoch[058] Batch [3549]/[3759] Speed: 120.118899 samples/sec accuracy=34.094630 loss=2.970495 lr=0.094259 Epoch[058] Batch [3599]/[3759] Speed: 119.379412 samples/sec accuracy=34.098958 loss=2.970545 lr=0.094253 Epoch[058] Batch [3649]/[3759] Speed: 118.844481 samples/sec accuracy=34.092894 loss=2.970679 lr=0.094247 Epoch[058] Batch [3699]/[3759] Speed: 119.320914 samples/sec accuracy=34.100929 loss=2.970690 lr=0.094241 Epoch[058] Batch [3749]/[3759] Speed: 123.011747 samples/sec accuracy=34.097083 loss=2.971936 lr=0.094235 Batch [0049]/[0303]: acc-top1=33.437500 acc-top5=60.218750 Batch [0099]/[0303]: acc-top1=31.578125 acc-top5=57.687500 Batch [0149]/[0303]: acc-top1=32.489583 acc-top5=58.750000 Batch [0199]/[0303]: acc-top1=35.437500 acc-top5=60.960938 Batch [0249]/[0303]: acc-top1=34.431250 acc-top5=61.112500 Batch [0299]/[0303]: acc-top1=34.348958 acc-top5=61.447917 [Epoch 058] training: accuracy=34.098164 loss=2.972016 [Epoch 058] speed: 118 samples/sec time cost: 2142.215113 [Epoch 058] validation: acc-top1=34.375000 acc-top5=61.520215 loss=3.206370 Epoch[059] Batch [0049]/[3760] Speed: 87.584824 samples/sec accuracy=33.718750 loss=2.949385 lr=0.094227 Epoch[059] Batch [0099]/[3760] Speed: 119.001613 samples/sec accuracy=34.734375 loss=2.932956 lr=0.094221 Epoch[059] Batch [0149]/[3760] Speed: 120.303148 samples/sec accuracy=34.802083 loss=2.939970 lr=0.094215 Epoch[059] Batch [0199]/[3760] Speed: 119.179490 samples/sec accuracy=34.835938 loss=2.933341 lr=0.094209 Epoch[059] Batch [0249]/[3760] Speed: 119.669202 samples/sec accuracy=34.656250 loss=2.934589 lr=0.094203 Epoch[059] Batch [0299]/[3760] Speed: 118.823676 samples/sec accuracy=34.708333 loss=2.936950 lr=0.094197 Epoch[059] Batch [0349]/[3760] Speed: 120.870280 samples/sec accuracy=34.593750 loss=2.940845 lr=0.094191 Epoch[059] Batch [0399]/[3760] Speed: 119.064839 samples/sec accuracy=34.531250 loss=2.944581 lr=0.094185 Epoch[059] Batch [0449]/[3760] Speed: 119.417466 samples/sec accuracy=34.385417 loss=2.951398 lr=0.094179 Epoch[059] Batch [0499]/[3760] Speed: 119.284739 samples/sec accuracy=34.478125 loss=2.944330 lr=0.094173 Epoch[059] Batch [0549]/[3760] Speed: 119.078378 samples/sec accuracy=34.545455 loss=2.939401 lr=0.094167 Epoch[059] Batch [0599]/[3760] Speed: 119.463749 samples/sec accuracy=34.455729 loss=2.942718 lr=0.094161 Epoch[059] Batch [0649]/[3760] Speed: 119.546420 samples/sec accuracy=34.425481 loss=2.946770 lr=0.094155 Epoch[059] Batch [0699]/[3760] Speed: 119.950647 samples/sec accuracy=34.433036 loss=2.948394 lr=0.094149 Epoch[059] Batch [0749]/[3760] Speed: 119.461330 samples/sec accuracy=34.356250 loss=2.953073 lr=0.094143 Epoch[059] Batch [0799]/[3760] Speed: 119.452344 samples/sec accuracy=34.345703 loss=2.952531 lr=0.094137 Epoch[059] Batch [0849]/[3760] Speed: 119.241638 samples/sec accuracy=34.336397 loss=2.954418 lr=0.094131 Epoch[059] Batch [0899]/[3760] Speed: 119.230218 samples/sec accuracy=34.293403 loss=2.956134 lr=0.094125 Epoch[059] Batch [0949]/[3760] Speed: 118.768679 samples/sec accuracy=34.360197 loss=2.952301 lr=0.094119 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loss=2.965163 lr=0.094003 Epoch[059] Batch [1949]/[3760] Speed: 119.690749 samples/sec accuracy=34.209135 loss=2.964831 lr=0.093997 Epoch[059] Batch [1999]/[3760] Speed: 119.282587 samples/sec accuracy=34.210156 loss=2.964429 lr=0.093991 Epoch[059] Batch [2049]/[3760] Speed: 118.754359 samples/sec accuracy=34.214177 loss=2.964709 lr=0.093984 Epoch[059] Batch [2099]/[3760] Speed: 119.434979 samples/sec accuracy=34.218006 loss=2.964488 lr=0.093978 Epoch[059] Batch [2149]/[3760] Speed: 119.434620 samples/sec accuracy=34.210756 loss=2.964454 lr=0.093972 Epoch[059] Batch [2199]/[3760] Speed: 118.679699 samples/sec accuracy=34.233665 loss=2.963045 lr=0.093966 Epoch[059] Batch [2249]/[3760] Speed: 118.915929 samples/sec accuracy=34.272917 loss=2.962711 lr=0.093960 Epoch[059] Batch [2299]/[3760] Speed: 119.283749 samples/sec accuracy=34.247283 loss=2.964522 lr=0.093954 Epoch[059] Batch [2349]/[3760] Speed: 119.010185 samples/sec accuracy=34.238697 loss=2.965140 lr=0.093948 Epoch[059] Batch 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accuracy=34.294956 loss=2.963174 lr=0.093886 Epoch[059] Batch [2899]/[3760] Speed: 118.955857 samples/sec accuracy=34.278556 loss=2.963940 lr=0.093880 Epoch[059] Batch [2949]/[3760] Speed: 119.163448 samples/sec accuracy=34.285487 loss=2.963043 lr=0.093874 Epoch[059] Batch [2999]/[3760] Speed: 119.430957 samples/sec accuracy=34.291146 loss=2.963148 lr=0.093867 Epoch[059] Batch [3049]/[3760] Speed: 119.143081 samples/sec accuracy=34.272029 loss=2.964067 lr=0.093861 Epoch[059] Batch [3099]/[3760] Speed: 119.985604 samples/sec accuracy=34.276714 loss=2.963312 lr=0.093855 Epoch[059] Batch [3149]/[3760] Speed: 119.900929 samples/sec accuracy=34.291667 loss=2.963377 lr=0.093849 Epoch[059] Batch [3199]/[3760] Speed: 119.517598 samples/sec accuracy=34.290527 loss=2.963217 lr=0.093843 Epoch[059] Batch [3249]/[3760] Speed: 119.463818 samples/sec accuracy=34.271154 loss=2.964098 lr=0.093836 Epoch[059] Batch [3299]/[3760] Speed: 119.666269 samples/sec accuracy=34.267519 loss=2.964496 lr=0.093830 Epoch[059] Batch [3349]/[3760] Speed: 119.239785 samples/sec accuracy=34.256530 loss=2.965340 lr=0.093824 Epoch[059] Batch [3399]/[3760] Speed: 119.702502 samples/sec accuracy=34.254136 loss=2.965190 lr=0.093818 Epoch[059] Batch [3449]/[3760] Speed: 119.179007 samples/sec accuracy=34.257699 loss=2.965039 lr=0.093812 Epoch[059] Batch [3499]/[3760] Speed: 120.079287 samples/sec accuracy=34.243304 loss=2.966075 lr=0.093805 Epoch[059] Batch [3549]/[3760] Speed: 119.902936 samples/sec accuracy=34.234155 loss=2.966676 lr=0.093799 Epoch[059] Batch [3599]/[3760] Speed: 119.568657 samples/sec accuracy=34.248698 loss=2.966523 lr=0.093793 Epoch[059] Batch [3649]/[3760] Speed: 118.742086 samples/sec accuracy=34.244863 loss=2.966800 lr=0.093787 Epoch[059] Batch [3699]/[3760] Speed: 120.111991 samples/sec accuracy=34.272804 loss=2.966675 lr=0.093781 Epoch[059] Batch [3749]/[3760] Speed: 123.124108 samples/sec accuracy=34.278333 loss=2.966960 lr=0.093774 Batch [0049]/[0303]: acc-top1=34.031250 acc-top5=61.625000 Batch [0099]/[0303]: acc-top1=31.578125 acc-top5=59.031250 Batch [0149]/[0303]: acc-top1=33.520833 acc-top5=60.468750 Batch [0199]/[0303]: acc-top1=35.835938 acc-top5=62.382812 Batch [0249]/[0303]: acc-top1=35.250000 acc-top5=62.331250 Batch [0299]/[0303]: acc-top1=34.687500 acc-top5=62.192708 [Epoch 059] training: accuracy=34.273188 loss=2.967231 [Epoch 059] speed: 118 samples/sec time cost: 2142.622732 [Epoch 059] validation: acc-top1=34.689563 acc-top5=62.278259 loss=3.170740 Epoch[060] Batch [0049]/[3760] Speed: 89.252090 samples/sec accuracy=34.031250 loss=2.981550 lr=0.093767 Epoch[060] Batch [0099]/[3760] Speed: 119.175849 samples/sec accuracy=34.500000 loss=2.957613 lr=0.093761 Epoch[060] Batch [0149]/[3760] Speed: 119.246026 samples/sec accuracy=35.260417 loss=2.930698 lr=0.093754 Epoch[060] Batch [0199]/[3760] Speed: 119.225964 samples/sec accuracy=35.054688 loss=2.933729 lr=0.093748 Epoch[060] Batch [0249]/[3760] Speed: 119.105931 samples/sec accuracy=35.018750 loss=2.936081 lr=0.093742 Epoch[060] Batch [0299]/[3760] Speed: 119.657766 samples/sec accuracy=35.130208 loss=2.939372 lr=0.093736 Epoch[060] Batch [0349]/[3760] Speed: 118.738881 samples/sec accuracy=34.968750 loss=2.943158 lr=0.093729 Epoch[060] Batch [0399]/[3760] Speed: 119.119841 samples/sec accuracy=34.851562 loss=2.947750 lr=0.093723 Epoch[060] Batch [0449]/[3760] Speed: 119.331673 samples/sec accuracy=34.784722 loss=2.953274 lr=0.093717 Epoch[060] Batch [0499]/[3760] Speed: 119.922374 samples/sec accuracy=34.740625 loss=2.956689 lr=0.093711 Epoch[060] Batch [0549]/[3760] Speed: 119.561866 samples/sec accuracy=34.755682 loss=2.956197 lr=0.093704 Epoch[060] Batch [0599]/[3760] Speed: 119.092882 samples/sec accuracy=34.567708 loss=2.962987 lr=0.093698 Epoch[060] Batch [0649]/[3760] Speed: 118.887493 samples/sec accuracy=34.504808 loss=2.962920 lr=0.093692 Epoch[060] Batch [0699]/[3760] Speed: 119.178492 samples/sec accuracy=34.446429 loss=2.961074 lr=0.093685 Epoch[060] Batch [0749]/[3760] Speed: 119.635909 samples/sec accuracy=34.508333 loss=2.958054 lr=0.093679 Epoch[060] Batch [0799]/[3760] Speed: 118.426955 samples/sec accuracy=34.462891 loss=2.960790 lr=0.093673 Epoch[060] Batch [0849]/[3760] Speed: 119.719453 samples/sec accuracy=34.529412 loss=2.958669 lr=0.093667 Epoch[060] Batch [0899]/[3760] Speed: 119.473732 samples/sec accuracy=34.513889 loss=2.959605 lr=0.093660 Epoch[060] Batch [0949]/[3760] Speed: 119.370525 samples/sec accuracy=34.582237 loss=2.956708 lr=0.093654 Epoch[060] Batch [0999]/[3760] Speed: 119.464491 samples/sec accuracy=34.578125 loss=2.955754 lr=0.093648 Epoch[060] Batch [1049]/[3760] Speed: 118.059671 samples/sec accuracy=34.574405 loss=2.953700 lr=0.093641 Epoch[060] Batch [1099]/[3760] Speed: 119.856430 samples/sec accuracy=34.617898 loss=2.951622 lr=0.093635 Epoch[060] Batch [1149]/[3760] Speed: 119.444291 samples/sec accuracy=34.607337 loss=2.951315 lr=0.093629 Epoch[060] Batch [1199]/[3760] Speed: 119.534987 samples/sec accuracy=34.608073 loss=2.952052 lr=0.093623 Epoch[060] Batch [1249]/[3760] Speed: 119.827856 samples/sec accuracy=34.653750 loss=2.952803 lr=0.093616 Epoch[060] Batch [1299]/[3760] Speed: 119.565727 samples/sec accuracy=34.602163 loss=2.955268 lr=0.093610 Epoch[060] Batch [1349]/[3760] Speed: 119.358748 samples/sec accuracy=34.586806 loss=2.954312 lr=0.093604 Epoch[060] Batch [1399]/[3760] Speed: 119.761779 samples/sec accuracy=34.583705 loss=2.954574 lr=0.093597 Epoch[060] Batch [1449]/[3760] Speed: 119.434083 samples/sec accuracy=34.573276 loss=2.953910 lr=0.093591 Epoch[060] Batch [1499]/[3760] Speed: 119.400101 samples/sec accuracy=34.539583 loss=2.956263 lr=0.093585 Epoch[060] Batch [1549]/[3760] Speed: 119.186399 samples/sec accuracy=34.512097 loss=2.955862 lr=0.093578 Epoch[060] Batch [1599]/[3760] Speed: 120.186581 samples/sec accuracy=34.519531 loss=2.955151 lr=0.093572 Epoch[060] Batch [1649]/[3760] Speed: 119.165608 samples/sec accuracy=34.518939 loss=2.954764 lr=0.093566 Epoch[060] Batch [1699]/[3760] Speed: 119.227357 samples/sec accuracy=34.541360 loss=2.954948 lr=0.093559 Epoch[060] Batch [1749]/[3760] Speed: 119.559082 samples/sec accuracy=34.540179 loss=2.955210 lr=0.093553 Epoch[060] Batch [1799]/[3760] Speed: 119.621612 samples/sec accuracy=34.519965 loss=2.956764 lr=0.093547 Epoch[060] Batch [1849]/[3760] Speed: 119.089499 samples/sec accuracy=34.510980 loss=2.957097 lr=0.093540 Epoch[060] Batch [1899]/[3760] Speed: 119.824020 samples/sec accuracy=34.501645 loss=2.957748 lr=0.093534 Epoch[060] Batch [1949]/[3760] Speed: 119.416766 samples/sec accuracy=34.536058 loss=2.956639 lr=0.093528 Epoch[060] Batch [1999]/[3760] Speed: 119.018400 samples/sec accuracy=34.556250 loss=2.955953 lr=0.093521 Epoch[060] Batch [2049]/[3760] Speed: 119.305905 samples/sec accuracy=34.531250 loss=2.956390 lr=0.093515 Epoch[060] Batch [2099]/[3760] Speed: 119.285694 samples/sec accuracy=34.519345 loss=2.957495 lr=0.093509 Epoch[060] Batch [2149]/[3760] Speed: 119.767130 samples/sec accuracy=34.530523 loss=2.957605 lr=0.093502 Epoch[060] Batch [2199]/[3760] Speed: 118.786425 samples/sec accuracy=34.498580 loss=2.959915 lr=0.093496 Epoch[060] Batch [2249]/[3760] Speed: 119.795398 samples/sec accuracy=34.494444 loss=2.960639 lr=0.093490 Epoch[060] Batch [2299]/[3760] Speed: 119.493306 samples/sec accuracy=34.498641 loss=2.960138 lr=0.093483 Epoch[060] Batch [2349]/[3760] Speed: 119.480417 samples/sec accuracy=34.497340 loss=2.958824 lr=0.093477 Epoch[060] Batch [2399]/[3760] Speed: 119.087695 samples/sec accuracy=34.492839 loss=2.959160 lr=0.093470 Epoch[060] Batch [2449]/[3760] Speed: 119.136093 samples/sec accuracy=34.452806 loss=2.960032 lr=0.093464 Epoch[060] Batch [2499]/[3760] Speed: 118.722050 samples/sec accuracy=34.445000 loss=2.960738 lr=0.093458 Epoch[060] Batch [2549]/[3760] Speed: 118.622856 samples/sec accuracy=34.430760 loss=2.960271 lr=0.093451 Epoch[060] Batch [2599]/[3760] Speed: 119.584123 samples/sec accuracy=34.425481 loss=2.960004 lr=0.093445 Epoch[060] Batch [2649]/[3760] Speed: 119.348597 samples/sec accuracy=34.447524 loss=2.958153 lr=0.093439 Epoch[060] Batch [2699]/[3760] Speed: 120.165695 samples/sec accuracy=34.450810 loss=2.958732 lr=0.093432 Epoch[060] Batch [2749]/[3760] Speed: 119.303406 samples/sec accuracy=34.450000 loss=2.959116 lr=0.093426 Epoch[060] Batch [2799]/[3760] Speed: 119.345945 samples/sec accuracy=34.452567 loss=2.958561 lr=0.093419 Epoch[060] Batch [2849]/[3760] Speed: 119.178317 samples/sec accuracy=34.455044 loss=2.958564 lr=0.093413 Epoch[060] Batch [2899]/[3760] Speed: 118.828504 samples/sec accuracy=34.433728 loss=2.960601 lr=0.093407 Epoch[060] Batch [2949]/[3760] Speed: 119.457664 samples/sec accuracy=34.418962 loss=2.961581 lr=0.093400 Epoch[060] Batch [2999]/[3760] Speed: 119.933747 samples/sec accuracy=34.428125 loss=2.962276 lr=0.093394 Epoch[060] Batch [3049]/[3760] Speed: 119.414636 samples/sec accuracy=34.419570 loss=2.962546 lr=0.093387 Epoch[060] Batch [3099]/[3760] Speed: 119.476132 samples/sec accuracy=34.393649 loss=2.963758 lr=0.093381 Epoch[060] Batch [3149]/[3760] Speed: 119.252406 samples/sec accuracy=34.404762 loss=2.963810 lr=0.093375 Epoch[060] Batch [3199]/[3760] Speed: 119.683579 samples/sec accuracy=34.420410 loss=2.963913 lr=0.093368 Epoch[060] Batch [3249]/[3760] Speed: 119.754153 samples/sec accuracy=34.404327 loss=2.963824 lr=0.093362 Epoch[060] Batch [3299]/[3760] Speed: 119.016633 samples/sec accuracy=34.398201 loss=2.964775 lr=0.093355 Epoch[060] Batch [3349]/[3760] Speed: 119.483304 samples/sec accuracy=34.402052 loss=2.964520 lr=0.093349 Epoch[060] Batch [3399]/[3760] Speed: 119.324734 samples/sec accuracy=34.416820 loss=2.964239 lr=0.093342 Epoch[060] Batch [3449]/[3760] Speed: 119.744477 samples/sec accuracy=34.412138 loss=2.964335 lr=0.093336 Epoch[060] Batch [3499]/[3760] Speed: 119.727952 samples/sec accuracy=34.412946 loss=2.964057 lr=0.093330 Epoch[060] Batch [3549]/[3760] Speed: 119.609282 samples/sec accuracy=34.411092 loss=2.964536 lr=0.093323 Epoch[060] Batch [3599]/[3760] Speed: 119.085883 samples/sec accuracy=34.391927 loss=2.964870 lr=0.093317 Epoch[060] Batch [3649]/[3760] Speed: 118.602967 samples/sec accuracy=34.395976 loss=2.964577 lr=0.093310 Epoch[060] Batch [3699]/[3760] Speed: 119.729136 samples/sec accuracy=34.382601 loss=2.964706 lr=0.093304 Epoch[060] Batch [3749]/[3760] Speed: 123.004295 samples/sec accuracy=34.366667 loss=2.964887 lr=0.093297 Batch [0049]/[0303]: acc-top1=33.000000 acc-top5=62.093750 Batch [0099]/[0303]: acc-top1=31.359375 acc-top5=58.859375 Batch [0149]/[0303]: acc-top1=32.479167 acc-top5=60.010417 Batch [0199]/[0303]: acc-top1=35.351562 acc-top5=62.570312 Batch [0249]/[0303]: acc-top1=35.406250 acc-top5=62.662500 Batch [0299]/[0303]: acc-top1=34.593750 acc-top5=62.151042 [Epoch 060] training: accuracy=34.360455 loss=2.965166 [Epoch 060] speed: 118 samples/sec time cost: 2142.982899 [Epoch 060] validation: acc-top1=34.612211 acc-top5=62.175124 loss=3.246061 Epoch[061] Batch [0049]/[3759] Speed: 88.587019 samples/sec accuracy=35.187500 loss=2.919319 lr=0.093290 Epoch[061] Batch [0099]/[3759] Speed: 119.407087 samples/sec accuracy=35.281250 loss=2.931382 lr=0.093283 Epoch[061] Batch [0149]/[3759] Speed: 119.171627 samples/sec accuracy=35.312500 loss=2.936130 lr=0.093277 Epoch[061] Batch [0199]/[3759] Speed: 119.337851 samples/sec accuracy=35.328125 loss=2.930150 lr=0.093270 Epoch[061] Batch [0249]/[3759] Speed: 118.924928 samples/sec accuracy=35.175000 loss=2.934445 lr=0.093264 Epoch[061] Batch [0299]/[3759] Speed: 119.457333 samples/sec accuracy=35.036458 loss=2.945121 lr=0.093257 Epoch[061] Batch [0349]/[3759] Speed: 118.965869 samples/sec accuracy=34.834821 loss=2.944481 lr=0.093251 Epoch[061] Batch [0399]/[3759] Speed: 118.241245 samples/sec accuracy=34.769531 loss=2.944287 lr=0.093244 Epoch[061] Batch [0449]/[3759] Speed: 119.323853 samples/sec accuracy=34.805556 loss=2.945975 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accuracy=34.446429 loss=2.957668 lr=0.093114 Epoch[061] Batch [1449]/[3759] Speed: 119.421600 samples/sec accuracy=34.411638 loss=2.961183 lr=0.093108 Epoch[061] Batch [1499]/[3759] Speed: 119.573907 samples/sec accuracy=34.398958 loss=2.961420 lr=0.093101 Epoch[061] Batch [1549]/[3759] Speed: 118.803540 samples/sec accuracy=34.399194 loss=2.961959 lr=0.093095 Epoch[061] Batch [1599]/[3759] Speed: 119.448840 samples/sec accuracy=34.401367 loss=2.960478 lr=0.093088 Epoch[061] Batch [1649]/[3759] Speed: 118.897142 samples/sec accuracy=34.376894 loss=2.960796 lr=0.093082 Epoch[061] Batch [1699]/[3759] Speed: 119.835914 samples/sec accuracy=34.396140 loss=2.959590 lr=0.093075 Epoch[061] Batch [1749]/[3759] Speed: 119.470728 samples/sec accuracy=34.397321 loss=2.960162 lr=0.093069 Epoch[061] Batch [1799]/[3759] Speed: 119.713067 samples/sec accuracy=34.415799 loss=2.959643 lr=0.093062 Epoch[061] Batch [1849]/[3759] Speed: 118.970903 samples/sec accuracy=34.404561 loss=2.959811 lr=0.093055 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loss=2.962628 lr=0.092930 Epoch[061] Batch [2849]/[3759] Speed: 119.273046 samples/sec accuracy=34.404605 loss=2.962673 lr=0.092924 Epoch[061] Batch [2899]/[3759] Speed: 119.549510 samples/sec accuracy=34.399784 loss=2.962531 lr=0.092917 Epoch[061] Batch [2949]/[3759] Speed: 119.959680 samples/sec accuracy=34.414195 loss=2.962631 lr=0.092910 Epoch[061] Batch [2999]/[3759] Speed: 119.353905 samples/sec accuracy=34.399479 loss=2.963295 lr=0.092904 Epoch[061] Batch [3049]/[3759] Speed: 118.540815 samples/sec accuracy=34.373463 loss=2.963161 lr=0.092897 Epoch[061] Batch [3099]/[3759] Speed: 119.719656 samples/sec accuracy=34.399194 loss=2.962690 lr=0.092891 Epoch[061] Batch [3149]/[3759] Speed: 119.429107 samples/sec accuracy=34.392361 loss=2.962868 lr=0.092884 Epoch[061] Batch [3199]/[3759] Speed: 119.570310 samples/sec accuracy=34.404297 loss=2.962659 lr=0.092877 Epoch[061] Batch [3249]/[3759] Speed: 118.926906 samples/sec accuracy=34.387019 loss=2.963660 lr=0.092871 Epoch[061] Batch 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accuracy=34.288750 loss=2.965655 lr=0.092804 Batch [0049]/[0303]: acc-top1=32.343750 acc-top5=58.812500 Batch [0099]/[0303]: acc-top1=30.750000 acc-top5=57.062500 Batch [0149]/[0303]: acc-top1=31.395833 acc-top5=57.395833 Batch [0199]/[0303]: acc-top1=34.187500 acc-top5=60.320312 Batch [0249]/[0303]: acc-top1=34.012500 acc-top5=60.431250 Batch [0299]/[0303]: acc-top1=33.604167 acc-top5=60.354167 [Epoch 061] training: accuracy=34.287709 loss=2.965854 [Epoch 061] speed: 118 samples/sec time cost: 2145.008104 [Epoch 061] validation: acc-top1=33.653053 acc-top5=60.375413 loss=3.305032 Epoch[062] Batch [0049]/[3760] Speed: 89.111623 samples/sec accuracy=35.062500 loss=2.945630 lr=0.092796 Epoch[062] Batch [0099]/[3760] Speed: 119.459914 samples/sec accuracy=34.671875 loss=2.956845 lr=0.092790 Epoch[062] Batch [0149]/[3760] Speed: 119.178840 samples/sec accuracy=34.322917 loss=2.958282 lr=0.092783 Epoch[062] Batch [0199]/[3760] Speed: 120.466929 samples/sec accuracy=34.445312 loss=2.953186 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accuracy=34.360054 loss=2.952791 lr=0.092649 Epoch[062] Batch [1199]/[3760] Speed: 119.414595 samples/sec accuracy=34.313802 loss=2.955292 lr=0.092642 Epoch[062] Batch [1249]/[3760] Speed: 118.885831 samples/sec accuracy=34.302500 loss=2.954428 lr=0.092635 Epoch[062] Batch [1299]/[3760] Speed: 119.874956 samples/sec accuracy=34.311298 loss=2.955096 lr=0.092629 Epoch[062] Batch [1349]/[3760] Speed: 119.299572 samples/sec accuracy=34.379630 loss=2.952701 lr=0.092622 Epoch[062] Batch [1399]/[3760] Speed: 119.515967 samples/sec accuracy=34.426339 loss=2.951542 lr=0.092615 Epoch[062] Batch [1449]/[3760] Speed: 120.172332 samples/sec accuracy=34.529095 loss=2.946472 lr=0.092608 Epoch[062] Batch [1499]/[3760] Speed: 118.377619 samples/sec accuracy=34.537500 loss=2.946501 lr=0.092602 Epoch[062] Batch [1549]/[3760] Speed: 119.676857 samples/sec accuracy=34.496976 loss=2.948809 lr=0.092595 Epoch[062] Batch [1599]/[3760] Speed: 119.440103 samples/sec accuracy=34.498047 loss=2.947447 lr=0.092588 Epoch[062] Batch [1649]/[3760] Speed: 119.718368 samples/sec accuracy=34.494318 loss=2.947194 lr=0.092581 Epoch[062] Batch [1699]/[3760] Speed: 119.345757 samples/sec accuracy=34.500919 loss=2.946810 lr=0.092575 Epoch[062] Batch [1749]/[3760] Speed: 119.145094 samples/sec accuracy=34.520536 loss=2.947042 lr=0.092568 Epoch[062] Batch [1799]/[3760] Speed: 119.390640 samples/sec accuracy=34.557292 loss=2.945856 lr=0.092561 Epoch[062] Batch [1849]/[3760] Speed: 119.102239 samples/sec accuracy=34.608108 loss=2.943661 lr=0.092554 Epoch[062] Batch [1899]/[3760] Speed: 119.590982 samples/sec accuracy=34.597039 loss=2.945570 lr=0.092548 Epoch[062] Batch [1949]/[3760] Speed: 119.799812 samples/sec accuracy=34.591346 loss=2.946551 lr=0.092541 Epoch[062] Batch [1999]/[3760] Speed: 119.687656 samples/sec accuracy=34.607813 loss=2.946032 lr=0.092534 Epoch[062] Batch [2049]/[3760] Speed: 118.877364 samples/sec accuracy=34.631860 loss=2.944890 lr=0.092527 Epoch[062] Batch [2099]/[3760] Speed: 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loss=2.944549 lr=0.092459 Epoch[062] Batch [2599]/[3760] Speed: 121.055656 samples/sec accuracy=34.716947 loss=2.944388 lr=0.092452 Epoch[062] Batch [2649]/[3760] Speed: 119.200967 samples/sec accuracy=34.708726 loss=2.945544 lr=0.092446 Epoch[062] Batch [2699]/[3760] Speed: 119.267108 samples/sec accuracy=34.707755 loss=2.946237 lr=0.092439 Epoch[062] Batch [2749]/[3760] Speed: 118.222020 samples/sec accuracy=34.755114 loss=2.944064 lr=0.092432 Epoch[062] Batch [2799]/[3760] Speed: 120.254260 samples/sec accuracy=34.774554 loss=2.944313 lr=0.092425 Epoch[062] Batch [2849]/[3760] Speed: 118.999127 samples/sec accuracy=34.773026 loss=2.943992 lr=0.092418 Epoch[062] Batch [2899]/[3760] Speed: 120.258097 samples/sec accuracy=34.752155 loss=2.945043 lr=0.092412 Epoch[062] Batch [2949]/[3760] Speed: 119.275892 samples/sec accuracy=34.745233 loss=2.945112 lr=0.092405 Epoch[062] Batch [2999]/[3760] Speed: 118.886272 samples/sec accuracy=34.762500 loss=2.944467 lr=0.092398 Epoch[062] Batch [3049]/[3760] Speed: 119.367722 samples/sec accuracy=34.763832 loss=2.945265 lr=0.092391 Epoch[062] Batch [3099]/[3760] Speed: 119.845046 samples/sec accuracy=34.778226 loss=2.943944 lr=0.092384 Epoch[062] Batch [3149]/[3760] Speed: 118.680442 samples/sec accuracy=34.803571 loss=2.943546 lr=0.092377 Epoch[062] Batch [3199]/[3760] Speed: 120.115145 samples/sec accuracy=34.812012 loss=2.943375 lr=0.092371 Epoch[062] Batch [3249]/[3760] Speed: 119.578424 samples/sec accuracy=34.813462 loss=2.943633 lr=0.092364 Epoch[062] Batch [3299]/[3760] Speed: 119.103515 samples/sec accuracy=34.790720 loss=2.944163 lr=0.092357 Epoch[062] Batch [3349]/[3760] Speed: 119.335252 samples/sec accuracy=34.788713 loss=2.943826 lr=0.092350 Epoch[062] Batch [3399]/[3760] Speed: 119.963582 samples/sec accuracy=34.779871 loss=2.943693 lr=0.092343 Epoch[062] Batch [3449]/[3760] Speed: 119.680586 samples/sec accuracy=34.756793 loss=2.944617 lr=0.092336 Epoch[062] Batch [3499]/[3760] Speed: 118.746736 samples/sec accuracy=34.737500 loss=2.945322 lr=0.092329 Epoch[062] Batch [3549]/[3760] Speed: 119.071179 samples/sec accuracy=34.734155 loss=2.945345 lr=0.092323 Epoch[062] Batch [3599]/[3760] Speed: 118.884980 samples/sec accuracy=34.746094 loss=2.945083 lr=0.092316 Epoch[062] Batch [3649]/[3760] Speed: 119.973427 samples/sec accuracy=34.740154 loss=2.945456 lr=0.092309 Epoch[062] Batch [3699]/[3760] Speed: 119.725788 samples/sec accuracy=34.720439 loss=2.946208 lr=0.092302 Epoch[062] Batch [3749]/[3760] Speed: 123.183575 samples/sec accuracy=34.715417 loss=2.946569 lr=0.092295 Batch [0049]/[0303]: acc-top1=35.343750 acc-top5=61.468750 Batch [0099]/[0303]: acc-top1=32.359375 acc-top5=58.312500 Batch [0149]/[0303]: acc-top1=33.989583 acc-top5=60.062500 Batch [0199]/[0303]: acc-top1=36.578125 acc-top5=62.343750 Batch [0249]/[0303]: acc-top1=35.531250 acc-top5=61.793750 Batch [0299]/[0303]: acc-top1=35.093750 acc-top5=61.953125 [Epoch 062] training: accuracy=34.707447 loss=2.946919 [Epoch 062] speed: 118 samples/sec time cost: 2141.405227 [Epoch 062] validation: acc-top1=34.983498 acc-top5=61.963696 loss=3.107076 Epoch[063] Batch [0049]/[3760] Speed: 89.192177 samples/sec accuracy=35.625000 loss=2.916687 lr=0.092287 Epoch[063] Batch [0099]/[3760] Speed: 119.371113 samples/sec accuracy=35.015625 loss=2.921608 lr=0.092280 Epoch[063] Batch [0149]/[3760] Speed: 118.450336 samples/sec accuracy=35.125000 loss=2.906430 lr=0.092273 Epoch[063] Batch [0199]/[3760] Speed: 119.736068 samples/sec accuracy=34.976562 loss=2.905464 lr=0.092266 Epoch[063] Batch [0249]/[3760] Speed: 119.929189 samples/sec accuracy=34.956250 loss=2.918392 lr=0.092259 Epoch[063] Batch [0299]/[3760] Speed: 119.739299 samples/sec accuracy=34.802083 loss=2.925841 lr=0.092252 Epoch[063] Batch [0349]/[3760] Speed: 118.915855 samples/sec accuracy=34.852679 loss=2.923379 lr=0.092245 Epoch[063] Batch [0399]/[3760] Speed: 119.295105 samples/sec accuracy=34.898438 loss=2.921024 lr=0.092239 Epoch[063] Batch [0449]/[3760] 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accuracy=34.861111 loss=2.929935 lr=0.092169 Epoch[063] Batch [0949]/[3760] Speed: 118.315787 samples/sec accuracy=34.922697 loss=2.927967 lr=0.092162 Epoch[063] Batch [0999]/[3760] Speed: 119.158769 samples/sec accuracy=34.871875 loss=2.931835 lr=0.092156 Epoch[063] Batch [1049]/[3760] Speed: 119.567243 samples/sec accuracy=34.793155 loss=2.935448 lr=0.092149 Epoch[063] Batch [1099]/[3760] Speed: 119.654411 samples/sec accuracy=34.771307 loss=2.937092 lr=0.092142 Epoch[063] Batch [1149]/[3760] Speed: 118.953279 samples/sec accuracy=34.796196 loss=2.938157 lr=0.092135 Epoch[063] Batch [1199]/[3760] Speed: 119.306621 samples/sec accuracy=34.778646 loss=2.937745 lr=0.092128 Epoch[063] Batch [1249]/[3760] Speed: 119.364190 samples/sec accuracy=34.730000 loss=2.937063 lr=0.092121 Epoch[063] Batch [1299]/[3760] Speed: 119.274130 samples/sec accuracy=34.724760 loss=2.936135 lr=0.092114 Epoch[063] Batch [1349]/[3760] Speed: 118.819591 samples/sec accuracy=34.722222 loss=2.936193 lr=0.092107 Epoch[063] Batch [1399]/[3760] Speed: 119.362883 samples/sec accuracy=34.685268 loss=2.938535 lr=0.092100 Epoch[063] Batch [1449]/[3760] Speed: 119.451231 samples/sec accuracy=34.677802 loss=2.940159 lr=0.092093 Epoch[063] Batch [1499]/[3760] Speed: 118.967024 samples/sec accuracy=34.663542 loss=2.940835 lr=0.092086 Epoch[063] Batch [1549]/[3760] Speed: 118.515746 samples/sec accuracy=34.657258 loss=2.941733 lr=0.092079 Epoch[063] Batch [1599]/[3760] Speed: 119.028335 samples/sec accuracy=34.617188 loss=2.943296 lr=0.092072 Epoch[063] Batch [1649]/[3760] Speed: 118.843030 samples/sec accuracy=34.637311 loss=2.942774 lr=0.092065 Epoch[063] Batch [1699]/[3760] Speed: 119.235847 samples/sec accuracy=34.602941 loss=2.946132 lr=0.092058 Epoch[063] Batch [1749]/[3760] Speed: 119.410923 samples/sec accuracy=34.568750 loss=2.946333 lr=0.092051 Epoch[063] Batch [1799]/[3760] Speed: 119.008897 samples/sec accuracy=34.565972 loss=2.945919 lr=0.092044 Epoch[063] Batch [1849]/[3760] Speed: 119.537053 samples/sec accuracy=34.562500 loss=2.945970 lr=0.092037 Epoch[063] Batch [1899]/[3760] Speed: 119.318165 samples/sec accuracy=34.561678 loss=2.946497 lr=0.092030 Epoch[063] Batch [1949]/[3760] Speed: 119.173549 samples/sec accuracy=34.580929 loss=2.944831 lr=0.092023 Epoch[063] Batch [1999]/[3760] Speed: 119.412539 samples/sec accuracy=34.553125 loss=2.947173 lr=0.092016 Epoch[063] Batch [2049]/[3760] Speed: 119.010299 samples/sec accuracy=34.573171 loss=2.947399 lr=0.092009 Epoch[063] Batch [2099]/[3760] Speed: 119.425189 samples/sec accuracy=34.540179 loss=2.948877 lr=0.092002 Epoch[063] Batch [2149]/[3760] Speed: 119.085352 samples/sec accuracy=34.539971 loss=2.949654 lr=0.091995 Epoch[063] Batch [2199]/[3760] Speed: 119.326406 samples/sec accuracy=34.551847 loss=2.949380 lr=0.091988 Epoch[063] Batch [2249]/[3760] Speed: 118.976572 samples/sec accuracy=34.529861 loss=2.950754 lr=0.091981 Epoch[063] Batch [2299]/[3760] Speed: 118.669638 samples/sec accuracy=34.514946 loss=2.950615 lr=0.091974 Epoch[063] Batch [2349]/[3760] Speed: 119.159329 samples/sec accuracy=34.541888 loss=2.949712 lr=0.091967 Epoch[063] Batch [2399]/[3760] Speed: 119.586931 samples/sec accuracy=34.561198 loss=2.948481 lr=0.091960 Epoch[063] Batch [2449]/[3760] Speed: 119.756298 samples/sec accuracy=34.586097 loss=2.948452 lr=0.091953 Epoch[063] Batch [2499]/[3760] Speed: 118.863559 samples/sec accuracy=34.610625 loss=2.948359 lr=0.091946 Epoch[063] Batch [2549]/[3760] Speed: 119.944381 samples/sec accuracy=34.604779 loss=2.948503 lr=0.091939 Epoch[063] Batch [2599]/[3760] Speed: 119.375566 samples/sec accuracy=34.582332 loss=2.950034 lr=0.091932 Epoch[063] Batch [2649]/[3760] Speed: 118.975644 samples/sec accuracy=34.586085 loss=2.949495 lr=0.091925 Epoch[063] Batch [2699]/[3760] Speed: 118.394500 samples/sec accuracy=34.604745 loss=2.948132 lr=0.091918 Epoch[063] Batch [2749]/[3760] Speed: 119.815245 samples/sec accuracy=34.602273 loss=2.948496 lr=0.091911 Epoch[063] Batch [2799]/[3760] Speed: 119.831144 samples/sec accuracy=34.594308 loss=2.949350 lr=0.091904 Epoch[063] Batch [2849]/[3760] Speed: 118.857944 samples/sec accuracy=34.609101 loss=2.949129 lr=0.091897 Epoch[063] Batch [2899]/[3760] Speed: 119.922560 samples/sec accuracy=34.596983 loss=2.950019 lr=0.091890 Epoch[063] Batch [2949]/[3760] Speed: 119.013018 samples/sec accuracy=34.614407 loss=2.949448 lr=0.091883 Epoch[063] Batch [2999]/[3760] Speed: 119.483938 samples/sec accuracy=34.617708 loss=2.949087 lr=0.091876 Epoch[063] Batch [3049]/[3760] Speed: 118.401625 samples/sec accuracy=34.626025 loss=2.949285 lr=0.091869 Epoch[063] Batch [3099]/[3760] Speed: 119.580955 samples/sec accuracy=34.611895 loss=2.950361 lr=0.091862 Epoch[063] Batch [3149]/[3760] Speed: 118.739331 samples/sec accuracy=34.630952 loss=2.948943 lr=0.091855 Epoch[063] Batch [3199]/[3760] Speed: 119.272830 samples/sec accuracy=34.623047 loss=2.948872 lr=0.091848 Epoch[063] Batch [3249]/[3760] Speed: 119.489365 samples/sec accuracy=34.597115 loss=2.949672 lr=0.091841 Epoch[063] Batch [3299]/[3760] Speed: 117.815248 samples/sec accuracy=34.601326 loss=2.949371 lr=0.091834 Epoch[063] Batch [3349]/[3760] Speed: 118.607576 samples/sec accuracy=34.582556 loss=2.949677 lr=0.091826 Epoch[063] Batch [3399]/[3760] Speed: 118.387789 samples/sec accuracy=34.589614 loss=2.949326 lr=0.091819 Epoch[063] Batch [3449]/[3760] Speed: 119.309916 samples/sec accuracy=34.598732 loss=2.949295 lr=0.091812 Epoch[063] Batch [3499]/[3760] Speed: 119.450343 samples/sec accuracy=34.580357 loss=2.949350 lr=0.091805 Epoch[063] Batch [3549]/[3760] Speed: 120.032618 samples/sec accuracy=34.588468 loss=2.948701 lr=0.091798 Epoch[063] Batch [3599]/[3760] Speed: 119.662941 samples/sec accuracy=34.565538 loss=2.949727 lr=0.091791 Epoch[063] Batch [3649]/[3760] Speed: 119.213510 samples/sec accuracy=34.572346 loss=2.949448 lr=0.091784 Epoch[063] Batch [3699]/[3760] Speed: 119.081649 samples/sec accuracy=34.555743 loss=2.950285 lr=0.091777 Epoch[063] Batch [3749]/[3760] Speed: 123.394019 samples/sec accuracy=34.552917 loss=2.950354 lr=0.091770 Batch [0049]/[0303]: acc-top1=34.937500 acc-top5=60.218750 Batch [0099]/[0303]: acc-top1=32.953125 acc-top5=58.843750 Batch [0149]/[0303]: acc-top1=34.250000 acc-top5=60.052083 Batch [0199]/[0303]: acc-top1=36.382812 acc-top5=62.101562 Batch [0249]/[0303]: acc-top1=35.637500 acc-top5=61.806250 Batch [0299]/[0303]: acc-top1=34.651042 acc-top5=61.651042 [Epoch 063] training: accuracy=34.552443 loss=2.950384 [Epoch 063] speed: 118 samples/sec time cost: 2145.191928 [Epoch 063] validation: acc-top1=34.550330 acc-top5=61.633663 loss=3.118332 Epoch[064] Batch [0049]/[3759] Speed: 89.142417 samples/sec accuracy=35.625000 loss=2.884351 lr=0.091761 Epoch[064] Batch [0099]/[3759] Speed: 118.797020 samples/sec accuracy=35.296875 loss=2.905483 lr=0.091754 Epoch[064] Batch [0149]/[3759] Speed: 120.244567 samples/sec accuracy=35.343750 loss=2.912053 lr=0.091747 Epoch[064] Batch [0199]/[3759] Speed: 119.858020 samples/sec accuracy=35.445312 loss=2.909015 lr=0.091740 Epoch[064] Batch [0249]/[3759] Speed: 118.678820 samples/sec accuracy=35.262500 loss=2.920750 lr=0.091733 Epoch[064] Batch [0299]/[3759] Speed: 118.877155 samples/sec accuracy=35.427083 loss=2.914487 lr=0.091726 Epoch[064] Batch [0349]/[3759] Speed: 119.688209 samples/sec accuracy=35.299107 loss=2.919930 lr=0.091719 Epoch[064] Batch [0399]/[3759] Speed: 119.421849 samples/sec accuracy=35.335938 loss=2.919478 lr=0.091712 Epoch[064] Batch [0449]/[3759] Speed: 119.071452 samples/sec accuracy=35.260417 loss=2.923187 lr=0.091704 Epoch[064] Batch [0499]/[3759] Speed: 119.468220 samples/sec accuracy=35.196875 loss=2.923351 lr=0.091697 Epoch[064] Batch [0549]/[3759] Speed: 119.223089 samples/sec accuracy=35.082386 loss=2.925827 lr=0.091690 Epoch[064] Batch [0599]/[3759] Speed: 119.075673 samples/sec accuracy=35.015625 loss=2.930368 lr=0.091683 Epoch[064] Batch [0649]/[3759] Speed: 119.707817 samples/sec accuracy=35.069712 loss=2.933930 lr=0.091676 Epoch[064] Batch [0699]/[3759] Speed: 118.729606 samples/sec accuracy=35.000000 loss=2.932647 lr=0.091669 Epoch[064] Batch [0749]/[3759] Speed: 119.471570 samples/sec accuracy=35.022917 loss=2.931122 lr=0.091662 Epoch[064] Batch [0799]/[3759] Speed: 119.312896 samples/sec accuracy=35.019531 loss=2.930418 lr=0.091655 Epoch[064] Batch [0849]/[3759] Speed: 119.107719 samples/sec accuracy=35.068015 loss=2.928487 lr=0.091647 Epoch[064] Batch [0899]/[3759] Speed: 119.824111 samples/sec accuracy=35.062500 loss=2.927090 lr=0.091640 Epoch[064] Batch [0949]/[3759] Speed: 118.797602 samples/sec accuracy=35.110197 loss=2.926710 lr=0.091633 Epoch[064] Batch [0999]/[3759] Speed: 119.355145 samples/sec accuracy=35.128125 loss=2.928005 lr=0.091626 Epoch[064] Batch [1049]/[3759] Speed: 119.821482 samples/sec accuracy=35.125000 loss=2.929334 lr=0.091619 Epoch[064] Batch [1099]/[3759] Speed: 119.066863 samples/sec accuracy=35.096591 loss=2.929551 lr=0.091612 Epoch[064] Batch [1149]/[3759] Speed: 119.533162 samples/sec accuracy=35.084239 loss=2.929619 lr=0.091605 Epoch[064] Batch [1199]/[3759] Speed: 119.189947 samples/sec accuracy=34.990885 loss=2.933750 lr=0.091597 Epoch[064] Batch [1249]/[3759] Speed: 118.666715 samples/sec accuracy=34.992500 loss=2.931843 lr=0.091590 Epoch[064] Batch [1299]/[3759] Speed: 119.614457 samples/sec accuracy=34.987981 loss=2.929954 lr=0.091583 Epoch[064] Batch [1349]/[3759] Speed: 119.409622 samples/sec accuracy=34.990741 loss=2.929779 lr=0.091576 Epoch[064] Batch [1399]/[3759] Speed: 118.706723 samples/sec accuracy=35.020089 loss=2.928637 lr=0.091569 Epoch[064] Batch [1449]/[3759] Speed: 119.617698 samples/sec accuracy=34.981681 loss=2.931276 lr=0.091562 Epoch[064] Batch [1499]/[3759] Speed: 119.749622 samples/sec accuracy=35.002083 loss=2.930782 lr=0.091554 Epoch[064] Batch [1549]/[3759] Speed: 119.749567 samples/sec accuracy=34.971774 loss=2.932062 lr=0.091547 Epoch[064] Batch [1599]/[3759] Speed: 119.851409 samples/sec accuracy=34.920898 loss=2.933310 lr=0.091540 Epoch[064] Batch [1649]/[3759] Speed: 118.811147 samples/sec accuracy=34.896780 loss=2.934943 lr=0.091533 Epoch[064] Batch [1699]/[3759] Speed: 118.789832 samples/sec accuracy=34.898897 loss=2.935774 lr=0.091526 Epoch[064] Batch [1749]/[3759] Speed: 119.262239 samples/sec accuracy=34.912500 loss=2.935882 lr=0.091519 Epoch[064] Batch [1799]/[3759] Speed: 118.769528 samples/sec accuracy=34.907118 loss=2.937065 lr=0.091511 Epoch[064] Batch [1849]/[3759] Speed: 119.139575 samples/sec accuracy=34.908784 loss=2.937107 lr=0.091504 Epoch[064] Batch [1899]/[3759] Speed: 119.106372 samples/sec accuracy=34.901316 loss=2.937377 lr=0.091497 Epoch[064] Batch [1949]/[3759] Speed: 119.903870 samples/sec accuracy=34.905449 loss=2.937868 lr=0.091490 Epoch[064] Batch [1999]/[3759] Speed: 119.653122 samples/sec accuracy=34.904687 loss=2.937555 lr=0.091483 Epoch[064] Batch [2049]/[3759] Speed: 119.316810 samples/sec accuracy=34.875762 loss=2.938989 lr=0.091475 Epoch[064] Batch [2099]/[3759] Speed: 118.865004 samples/sec accuracy=34.863839 loss=2.938548 lr=0.091468 Epoch[064] Batch [2149]/[3759] Speed: 118.636309 samples/sec accuracy=34.879360 loss=2.938449 lr=0.091461 Epoch[064] Batch [2199]/[3759] Speed: 119.651640 samples/sec accuracy=34.878551 loss=2.937277 lr=0.091454 Epoch[064] Batch [2249]/[3759] Speed: 118.630975 samples/sec accuracy=34.856250 loss=2.937308 lr=0.091447 Epoch[064] Batch [2299]/[3759] Speed: 119.466039 samples/sec accuracy=34.815897 loss=2.939814 lr=0.091439 Epoch[064] Batch [2349]/[3759] Speed: 118.730180 samples/sec accuracy=34.821144 loss=2.939188 lr=0.091432 Epoch[064] Batch [2399]/[3759] Speed: 119.239055 samples/sec accuracy=34.863281 loss=2.938376 lr=0.091425 Epoch[064] Batch [2449]/[3759] Speed: 118.950497 samples/sec accuracy=34.828444 loss=2.938949 lr=0.091418 Epoch[064] Batch [2499]/[3759] Speed: 118.985545 samples/sec accuracy=34.831250 loss=2.939929 lr=0.091410 Epoch[064] Batch [2549]/[3759] Speed: 119.430691 samples/sec accuracy=34.840686 loss=2.939122 lr=0.091403 Epoch[064] Batch [2599]/[3759] Speed: 118.277457 samples/sec accuracy=34.821514 loss=2.939609 lr=0.091396 Epoch[064] Batch [2649]/[3759] Speed: 120.069777 samples/sec accuracy=34.822524 loss=2.939933 lr=0.091389 Epoch[064] Batch [2699]/[3759] Speed: 119.638041 samples/sec accuracy=34.833333 loss=2.939340 lr=0.091382 Epoch[064] Batch [2749]/[3759] Speed: 119.072700 samples/sec accuracy=34.830114 loss=2.939676 lr=0.091374 Epoch[064] Batch [2799]/[3759] Speed: 119.166171 samples/sec accuracy=34.826451 loss=2.939461 lr=0.091367 Epoch[064] Batch [2849]/[3759] Speed: 119.181457 samples/sec accuracy=34.793860 loss=2.940759 lr=0.091360 Epoch[064] Batch [2899]/[3759] Speed: 119.231284 samples/sec accuracy=34.781789 loss=2.940986 lr=0.091353 Epoch[064] Batch [2949]/[3759] Speed: 119.147708 samples/sec accuracy=34.769597 loss=2.941413 lr=0.091345 Epoch[064] Batch [2999]/[3759] Speed: 119.855494 samples/sec accuracy=34.769271 loss=2.941208 lr=0.091338 Epoch[064] Batch [3049]/[3759] Speed: 118.709772 samples/sec accuracy=34.777152 loss=2.941445 lr=0.091331 Epoch[064] Batch [3099]/[3759] Speed: 118.761778 samples/sec accuracy=34.784778 loss=2.941068 lr=0.091324 Epoch[064] Batch [3149]/[3759] Speed: 119.444678 samples/sec accuracy=34.774802 loss=2.941536 lr=0.091316 Epoch[064] Batch [3199]/[3759] Speed: 118.387408 samples/sec accuracy=34.779785 loss=2.941591 lr=0.091309 Epoch[064] Batch [3249]/[3759] Speed: 119.667118 samples/sec accuracy=34.786538 loss=2.941344 lr=0.091302 Epoch[064] Batch [3299]/[3759] Speed: 119.694444 samples/sec accuracy=34.808239 loss=2.940489 lr=0.091294 Epoch[064] Batch [3349]/[3759] Speed: 119.109910 samples/sec accuracy=34.804104 loss=2.941147 lr=0.091287 Epoch[064] Batch [3399]/[3759] Speed: 119.030520 samples/sec accuracy=34.792279 loss=2.940887 lr=0.091280 Epoch[064] Batch [3449]/[3759] Speed: 120.057195 samples/sec accuracy=34.808877 loss=2.940670 lr=0.091273 Epoch[064] Batch [3499]/[3759] Speed: 118.635098 samples/sec accuracy=34.816071 loss=2.940126 lr=0.091265 Epoch[064] Batch [3549]/[3759] Speed: 118.697909 samples/sec accuracy=34.840669 loss=2.939641 lr=0.091258 Epoch[064] Batch [3599]/[3759] Speed: 119.209963 samples/sec accuracy=34.830729 loss=2.940569 lr=0.091251 Epoch[064] Batch [3649]/[3759] Speed: 119.018911 samples/sec accuracy=34.836045 loss=2.940737 lr=0.091243 Epoch[064] Batch [3699]/[3759] Speed: 119.535160 samples/sec accuracy=34.824747 loss=2.940599 lr=0.091236 Epoch[064] Batch [3749]/[3759] Speed: 124.128958 samples/sec accuracy=34.819167 loss=2.940823 lr=0.091229 Batch [0049]/[0303]: acc-top1=34.281250 acc-top5=60.218750 Batch [0099]/[0303]: acc-top1=32.781250 acc-top5=58.125000 Batch [0149]/[0303]: acc-top1=34.760417 acc-top5=60.322917 Batch [0199]/[0303]: acc-top1=37.320312 acc-top5=62.632812 Batch [0249]/[0303]: acc-top1=36.431250 acc-top5=62.437500 Batch [0299]/[0303]: acc-top1=36.390625 acc-top5=62.703125 [Epoch 064] training: accuracy=34.822676 loss=2.940700 [Epoch 064] speed: 118 samples/sec time cost: 2143.169355 [Epoch 064] validation: acc-top1=36.396452 acc-top5=62.762995 loss=3.017391 Epoch[065] Batch [0049]/[3760] Speed: 88.491482 samples/sec accuracy=36.718750 loss=2.849730 lr=0.091220 Epoch[065] Batch [0099]/[3760] Speed: 119.835539 samples/sec accuracy=35.812500 loss=2.897082 lr=0.091213 Epoch[065] Batch [0149]/[3760] Speed: 119.976407 samples/sec accuracy=35.916667 loss=2.877393 lr=0.091206 Epoch[065] Batch [0199]/[3760] Speed: 119.394040 samples/sec accuracy=35.750000 loss=2.886660 lr=0.091198 Epoch[065] Batch [0249]/[3760] Speed: 119.760282 samples/sec accuracy=35.406250 loss=2.900876 lr=0.091191 Epoch[065] Batch [0299]/[3760] Speed: 119.981568 samples/sec accuracy=35.114583 loss=2.918576 lr=0.091184 Epoch[065] Batch [0349]/[3760] Speed: 118.955146 samples/sec accuracy=35.084821 loss=2.923631 lr=0.091176 Epoch[065] Batch [0399]/[3760] Speed: 119.004018 samples/sec accuracy=35.367188 loss=2.911029 lr=0.091169 Epoch[065] Batch [0449]/[3760] Speed: 118.496318 samples/sec accuracy=35.302083 loss=2.916617 lr=0.091162 Epoch[065] Batch [0499]/[3760] Speed: 119.290244 samples/sec accuracy=35.237500 loss=2.914096 lr=0.091154 Epoch[065] Batch [0549]/[3760] Speed: 119.584301 samples/sec accuracy=35.034091 loss=2.923331 lr=0.091147 Epoch[065] Batch [0599]/[3760] Speed: 119.178987 samples/sec accuracy=35.059896 loss=2.923046 lr=0.091140 Epoch[065] Batch [0649]/[3760] Speed: 119.694076 samples/sec accuracy=35.096154 loss=2.921085 lr=0.091132 Epoch[065] Batch [0699]/[3760] Speed: 119.803702 samples/sec accuracy=35.053571 loss=2.921662 lr=0.091125 Epoch[065] Batch [0749]/[3760] Speed: 119.452661 samples/sec accuracy=35.000000 loss=2.923992 lr=0.091118 Epoch[065] Batch [0799]/[3760] Speed: 119.362175 samples/sec accuracy=35.093750 loss=2.919569 lr=0.091110 Epoch[065] Batch [0849]/[3760] Speed: 119.160213 samples/sec accuracy=35.022059 loss=2.924792 lr=0.091103 Epoch[065] Batch [0899]/[3760] Speed: 119.627225 samples/sec accuracy=35.048611 loss=2.926347 lr=0.091096 Epoch[065] Batch [0949]/[3760] Speed: 119.403762 samples/sec accuracy=35.101974 loss=2.923276 lr=0.091088 Epoch[065] Batch [0999]/[3760] Speed: 120.202414 samples/sec accuracy=35.110937 loss=2.922294 lr=0.091081 Epoch[065] Batch [1049]/[3760] Speed: 119.662793 samples/sec accuracy=35.083333 loss=2.921039 lr=0.091074 Epoch[065] Batch [1099]/[3760] Speed: 118.410166 samples/sec accuracy=35.122159 loss=2.920863 lr=0.091066 Epoch[065] Batch [1149]/[3760] Speed: 119.741574 samples/sec accuracy=35.148098 loss=2.919462 lr=0.091059 Epoch[065] Batch [1199]/[3760] Speed: 119.887252 samples/sec accuracy=35.169271 loss=2.918420 lr=0.091052 Epoch[065] Batch [1249]/[3760] Speed: 119.992232 samples/sec accuracy=35.183750 loss=2.918446 lr=0.091044 Epoch[065] Batch [1299]/[3760] Speed: 118.587593 samples/sec accuracy=35.144231 loss=2.920665 lr=0.091037 Epoch[065] Batch [1349]/[3760] Speed: 119.223758 samples/sec accuracy=35.128472 loss=2.922399 lr=0.091030 Epoch[065] Batch [1399]/[3760] Speed: 119.262000 samples/sec accuracy=35.126116 loss=2.922109 lr=0.091022 Epoch[065] Batch [1449]/[3760] Speed: 120.163273 samples/sec accuracy=35.151940 loss=2.921360 lr=0.091015 Epoch[065] Batch [1499]/[3760] Speed: 119.790706 samples/sec accuracy=35.182292 loss=2.921804 lr=0.091007 Epoch[065] Batch [1549]/[3760] Speed: 119.662811 samples/sec accuracy=35.125000 loss=2.924572 lr=0.091000 Epoch[065] Batch [1599]/[3760] Speed: 119.730164 samples/sec accuracy=35.127930 loss=2.925052 lr=0.090993 Epoch[065] Batch [1649]/[3760] Speed: 119.697723 samples/sec accuracy=35.114583 loss=2.926544 lr=0.090985 Epoch[065] Batch [1699]/[3760] Speed: 118.857910 samples/sec accuracy=35.136029 loss=2.926514 lr=0.090978 Epoch[065] Batch [1749]/[3760] Speed: 119.500648 samples/sec accuracy=35.113393 loss=2.927142 lr=0.090971 Epoch[065] Batch [1799]/[3760] Speed: 119.471998 samples/sec accuracy=35.092882 loss=2.928830 lr=0.090963 Epoch[065] Batch [1849]/[3760] Speed: 118.947076 samples/sec accuracy=35.134291 loss=2.927607 lr=0.090956 Epoch[065] Batch [1899]/[3760] Speed: 119.067500 samples/sec accuracy=35.084704 loss=2.929460 lr=0.090948 Epoch[065] Batch [1949]/[3760] Speed: 118.446706 samples/sec accuracy=35.125000 loss=2.928446 lr=0.090941 Epoch[065] Batch [1999]/[3760] Speed: 118.740237 samples/sec accuracy=35.129688 loss=2.928956 lr=0.090934 Epoch[065] Batch [2049]/[3760] Speed: 119.150623 samples/sec accuracy=35.139482 loss=2.927914 lr=0.090926 Epoch[065] Batch [2099]/[3760] Speed: 119.217231 samples/sec accuracy=35.125000 loss=2.929136 lr=0.090919 Epoch[065] Batch [2149]/[3760] Speed: 118.752440 samples/sec accuracy=35.130087 loss=2.928616 lr=0.090911 Epoch[065] Batch [2199]/[3760] Speed: 119.654380 samples/sec accuracy=35.115057 loss=2.929117 lr=0.090904 Epoch[065] Batch [2249]/[3760] Speed: 118.532237 samples/sec accuracy=35.119444 loss=2.928959 lr=0.090896 Epoch[065] Batch [2299]/[3760] Speed: 118.451096 samples/sec accuracy=35.139266 loss=2.928313 lr=0.090889 Epoch[065] Batch [2349]/[3760] Speed: 119.890007 samples/sec accuracy=35.139628 loss=2.928329 lr=0.090882 Epoch[065] Batch [2399]/[3760] Speed: 119.111214 samples/sec accuracy=35.151042 loss=2.928161 lr=0.090874 Epoch[065] Batch [2449]/[3760] Speed: 119.532266 samples/sec accuracy=35.140944 loss=2.927480 lr=0.090867 Epoch[065] Batch [2499]/[3760] Speed: 119.366243 samples/sec accuracy=35.135625 loss=2.927956 lr=0.090859 Epoch[065] Batch [2549]/[3760] Speed: 118.879827 samples/sec accuracy=35.168505 loss=2.927001 lr=0.090852 Epoch[065] Batch [2599]/[3760] Speed: 119.360550 samples/sec accuracy=35.153245 loss=2.927205 lr=0.090844 Epoch[065] Batch [2649]/[3760] Speed: 119.168641 samples/sec accuracy=35.156840 loss=2.927053 lr=0.090837 Epoch[065] Batch [2699]/[3760] Speed: 119.238324 samples/sec accuracy=35.162616 loss=2.926988 lr=0.090830 Epoch[065] Batch [2749]/[3760] Speed: 119.497635 samples/sec accuracy=35.163068 loss=2.926081 lr=0.090822 Epoch[065] Batch [2799]/[3760] Speed: 118.738646 samples/sec accuracy=35.162388 loss=2.926325 lr=0.090815 Epoch[065] Batch [2849]/[3760] Speed: 119.018948 samples/sec accuracy=35.155702 loss=2.927040 lr=0.090807 Epoch[065] Batch [2899]/[3760] Speed: 118.958507 samples/sec accuracy=35.140625 loss=2.928302 lr=0.090800 Epoch[065] Batch [2949]/[3760] Speed: 119.882328 samples/sec accuracy=35.132945 loss=2.928513 lr=0.090792 Epoch[065] Batch [2999]/[3760] Speed: 119.752744 samples/sec accuracy=35.124479 loss=2.929406 lr=0.090785 Epoch[065] Batch [3049]/[3760] Speed: 119.596854 samples/sec accuracy=35.127049 loss=2.929688 lr=0.090777 Epoch[065] Batch [3099]/[3760] Speed: 118.943561 samples/sec accuracy=35.118952 loss=2.930230 lr=0.090770 Epoch[065] Batch [3149]/[3760] Speed: 119.442083 samples/sec accuracy=35.103671 loss=2.930255 lr=0.090762 Epoch[065] Batch [3199]/[3760] Speed: 119.394383 samples/sec accuracy=35.106934 loss=2.930284 lr=0.090755 Epoch[065] Batch [3249]/[3760] Speed: 119.909136 samples/sec accuracy=35.112019 loss=2.930641 lr=0.090748 Epoch[065] Batch [3299]/[3760] Speed: 119.599477 samples/sec accuracy=35.110795 loss=2.931109 lr=0.090740 Epoch[065] Batch [3349]/[3760] Speed: 119.288847 samples/sec accuracy=35.093284 loss=2.931500 lr=0.090733 Epoch[065] Batch [3399]/[3760] Speed: 119.670689 samples/sec accuracy=35.065717 loss=2.932229 lr=0.090725 Epoch[065] Batch [3449]/[3760] Speed: 119.372150 samples/sec accuracy=35.050725 loss=2.932738 lr=0.090718 Epoch[065] Batch [3499]/[3760] Speed: 119.052688 samples/sec accuracy=35.020536 loss=2.934140 lr=0.090710 Epoch[065] Batch [3549]/[3760] Speed: 118.851129 samples/sec accuracy=35.029930 loss=2.933461 lr=0.090703 Epoch[065] Batch [3599]/[3760] Speed: 119.304787 samples/sec accuracy=35.009115 loss=2.934054 lr=0.090695 Epoch[065] Batch [3649]/[3760] Speed: 118.764058 samples/sec accuracy=34.990582 loss=2.934673 lr=0.090688 Epoch[065] Batch [3699]/[3760] Speed: 119.340102 samples/sec accuracy=34.982686 loss=2.935029 lr=0.090680 Epoch[065] Batch [3749]/[3760] Speed: 123.721048 samples/sec accuracy=34.976250 loss=2.935504 lr=0.090673 Batch [0049]/[0303]: acc-top1=34.812500 acc-top5=61.593750 Batch [0099]/[0303]: acc-top1=32.156250 acc-top5=59.359375 Batch [0149]/[0303]: acc-top1=33.604167 acc-top5=60.812500 Batch [0199]/[0303]: acc-top1=35.929688 acc-top5=62.890625 Batch [0249]/[0303]: acc-top1=35.225000 acc-top5=62.275000 Batch [0299]/[0303]: acc-top1=35.218750 acc-top5=62.572917 [Epoch 065] training: accuracy=34.966340 loss=2.935762 [Epoch 065] speed: 118 samples/sec time cost: 2142.999340 [Epoch 065] validation: acc-top1=35.215553 acc-top5=62.613449 loss=3.183284 Epoch[066] Batch [0049]/[3759] Speed: 88.541508 samples/sec accuracy=36.156250 loss=2.856541 lr=0.090664 Epoch[066] Batch [0099]/[3759] Speed: 120.132074 samples/sec accuracy=35.578125 loss=2.860058 lr=0.090656 Epoch[066] Batch [0149]/[3759] Speed: 118.985659 samples/sec accuracy=35.145833 loss=2.882138 lr=0.090649 Epoch[066] Batch [0199]/[3759] Speed: 119.825272 samples/sec accuracy=35.125000 loss=2.893555 lr=0.090641 Epoch[066] Batch [0249]/[3759] Speed: 119.881780 samples/sec accuracy=35.262500 loss=2.892257 lr=0.090634 Epoch[066] Batch [0299]/[3759] Speed: 119.556977 samples/sec accuracy=35.427083 loss=2.887217 lr=0.090626 Epoch[066] Batch [0349]/[3759] Speed: 118.278024 samples/sec accuracy=35.433036 loss=2.889841 lr=0.090619 Epoch[066] Batch [0399]/[3759] Speed: 119.145147 samples/sec accuracy=35.472656 loss=2.889264 lr=0.090611 Epoch[066] Batch [0449]/[3759] Speed: 119.283918 samples/sec accuracy=35.479167 loss=2.891830 lr=0.090603 Epoch[066] Batch [0499]/[3759] Speed: 119.665870 samples/sec accuracy=35.431250 loss=2.897565 lr=0.090596 Epoch[066] Batch [0549]/[3759] Speed: 119.467509 samples/sec accuracy=35.414773 loss=2.900663 lr=0.090588 Epoch[066] Batch [0599]/[3759] Speed: 119.725537 samples/sec accuracy=35.364583 loss=2.903058 lr=0.090581 Epoch[066] Batch [0649]/[3759] Speed: 119.257528 samples/sec accuracy=35.451923 loss=2.897860 lr=0.090573 Epoch[066] Batch [0699]/[3759] Speed: 118.996648 samples/sec accuracy=35.408482 loss=2.902520 lr=0.090566 Epoch[066] Batch [0749]/[3759] Speed: 119.568768 samples/sec accuracy=35.300000 loss=2.906625 lr=0.090558 Epoch[066] Batch [0799]/[3759] Speed: 119.711282 samples/sec accuracy=35.298828 loss=2.908695 lr=0.090551 Epoch[066] Batch [0849]/[3759] Speed: 120.247558 samples/sec accuracy=35.264706 loss=2.911034 lr=0.090543 Epoch[066] Batch [0899]/[3759] Speed: 119.526754 samples/sec accuracy=35.229167 loss=2.911357 lr=0.090536 Epoch[066] Batch [0949]/[3759] Speed: 118.212716 samples/sec accuracy=35.199013 loss=2.911435 lr=0.090528 Epoch[066] Batch [0999]/[3759] Speed: 119.995529 samples/sec accuracy=35.154688 loss=2.912120 lr=0.090521 Epoch[066] Batch [1049]/[3759] Speed: 119.559766 samples/sec accuracy=35.092262 loss=2.917360 lr=0.090513 Epoch[066] Batch [1099]/[3759] Speed: 118.643381 samples/sec accuracy=35.017045 loss=2.919535 lr=0.090505 Epoch[066] Batch [1149]/[3759] Speed: 120.235437 samples/sec accuracy=34.980978 loss=2.921284 lr=0.090498 Epoch[066] Batch [1199]/[3759] Speed: 119.869910 samples/sec accuracy=34.938802 loss=2.923264 lr=0.090490 Epoch[066] Batch [1249]/[3759] Speed: 119.321693 samples/sec accuracy=34.937500 loss=2.923893 lr=0.090483 Epoch[066] Batch [1299]/[3759] Speed: 119.305927 samples/sec accuracy=34.933894 loss=2.924160 lr=0.090475 Epoch[066] Batch [1349]/[3759] Speed: 119.664312 samples/sec accuracy=34.944444 loss=2.923668 lr=0.090468 Epoch[066] Batch [1399]/[3759] Speed: 119.548441 samples/sec accuracy=34.965402 loss=2.923494 lr=0.090460 Epoch[066] Batch [1449]/[3759] Speed: 119.395311 samples/sec accuracy=34.943966 loss=2.923924 lr=0.090452 Epoch[066] Batch [1499]/[3759] Speed: 119.084639 samples/sec accuracy=34.910417 loss=2.926763 lr=0.090445 Epoch[066] Batch [1549]/[3759] Speed: 119.140864 samples/sec accuracy=34.963710 loss=2.923997 lr=0.090437 Epoch[066] Batch [1599]/[3759] Speed: 119.398768 samples/sec accuracy=34.982422 loss=2.922337 lr=0.090430 Epoch[066] Batch [1649]/[3759] Speed: 119.274398 samples/sec accuracy=35.029356 loss=2.920624 lr=0.090422 Epoch[066] Batch [1699]/[3759] Speed: 119.855598 samples/sec accuracy=35.050551 loss=2.919901 lr=0.090414 Epoch[066] Batch [1749]/[3759] Speed: 119.097962 samples/sec accuracy=35.017857 loss=2.921226 lr=0.090407 Epoch[066] Batch [1799]/[3759] Speed: 119.678330 samples/sec accuracy=34.978299 loss=2.922799 lr=0.090399 Epoch[066] Batch [1849]/[3759] Speed: 119.630339 samples/sec accuracy=34.987331 loss=2.921774 lr=0.090392 Epoch[066] Batch [1899]/[3759] Speed: 119.239469 samples/sec accuracy=34.961349 loss=2.923650 lr=0.090384 Epoch[066] Batch [1949]/[3759] Speed: 119.894142 samples/sec accuracy=34.960737 loss=2.925280 lr=0.090376 Epoch[066] Batch [1999]/[3759] Speed: 118.657425 samples/sec accuracy=34.970312 loss=2.926148 lr=0.090369 Epoch[066] Batch [2049]/[3759] Speed: 119.713384 samples/sec accuracy=34.974085 loss=2.926167 lr=0.090361 Epoch[066] Batch [2099]/[3759] Speed: 118.859843 samples/sec accuracy=35.014137 loss=2.925821 lr=0.090354 Epoch[066] Batch [2149]/[3759] Speed: 119.296628 samples/sec accuracy=34.990552 loss=2.927254 lr=0.090346 Epoch[066] Batch [2199]/[3759] Speed: 118.535527 samples/sec accuracy=34.975142 loss=2.927341 lr=0.090338 Epoch[066] Batch [2249]/[3759] Speed: 119.611872 samples/sec accuracy=34.943750 loss=2.927490 lr=0.090331 Epoch[066] Batch [2299]/[3759] Speed: 119.348351 samples/sec accuracy=34.972147 loss=2.926998 lr=0.090323 Epoch[066] Batch [2349]/[3759] Speed: 119.284184 samples/sec accuracy=35.013298 loss=2.926265 lr=0.090316 Epoch[066] Batch [2399]/[3759] Speed: 118.806852 samples/sec accuracy=35.002604 loss=2.926580 lr=0.090308 Epoch[066] Batch [2449]/[3759] Speed: 119.788528 samples/sec accuracy=34.984694 loss=2.927235 lr=0.090300 Epoch[066] Batch [2499]/[3759] Speed: 118.727596 samples/sec accuracy=35.020000 loss=2.925345 lr=0.090293 Epoch[066] Batch [2549]/[3759] Speed: 119.559808 samples/sec accuracy=35.004289 loss=2.926724 lr=0.090285 Epoch[066] Batch [2599]/[3759] Speed: 119.845870 samples/sec accuracy=34.994591 loss=2.927806 lr=0.090277 Epoch[066] Batch [2649]/[3759] Speed: 119.197447 samples/sec accuracy=35.021816 loss=2.926402 lr=0.090270 Epoch[066] Batch [2699]/[3759] Speed: 118.857352 samples/sec accuracy=35.015046 loss=2.927059 lr=0.090262 Epoch[066] Batch [2749]/[3759] Speed: 118.855206 samples/sec accuracy=35.022727 loss=2.927296 lr=0.090254 Epoch[066] Batch [2799]/[3759] Speed: 118.416580 samples/sec accuracy=34.998326 loss=2.928644 lr=0.090247 Epoch[066] Batch [2849]/[3759] Speed: 120.180157 samples/sec accuracy=35.003289 loss=2.928179 lr=0.090239 Epoch[066] Batch [2899]/[3759] Speed: 119.484463 samples/sec accuracy=34.983297 loss=2.929306 lr=0.090231 Epoch[066] Batch [2949]/[3759] Speed: 119.948431 samples/sec accuracy=34.989936 loss=2.928815 lr=0.090224 Epoch[066] Batch [2999]/[3759] Speed: 119.711211 samples/sec accuracy=34.967708 loss=2.929195 lr=0.090216 Epoch[066] Batch [3049]/[3759] Speed: 119.360232 samples/sec accuracy=34.986168 loss=2.928174 lr=0.090208 Epoch[066] Batch [3099]/[3759] Speed: 119.979333 samples/sec accuracy=34.984879 loss=2.928741 lr=0.090201 Epoch[066] Batch [3149]/[3759] Speed: 119.477823 samples/sec accuracy=34.990575 loss=2.928437 lr=0.090193 Epoch[066] Batch [3199]/[3759] Speed: 119.683339 samples/sec accuracy=34.985352 loss=2.928719 lr=0.090185 Epoch[066] Batch [3249]/[3759] Speed: 119.334947 samples/sec accuracy=34.966346 loss=2.929108 lr=0.090178 Epoch[066] Batch [3299]/[3759] Speed: 120.139850 samples/sec accuracy=34.947917 loss=2.930913 lr=0.090170 Epoch[066] Batch [3349]/[3759] Speed: 120.082477 samples/sec accuracy=34.962220 loss=2.931239 lr=0.090162 Epoch[066] Batch [3399]/[3759] Speed: 118.590471 samples/sec accuracy=34.960478 loss=2.931366 lr=0.090155 Epoch[066] Batch [3449]/[3759] Speed: 118.570509 samples/sec accuracy=34.980525 loss=2.930087 lr=0.090147 Epoch[066] Batch [3499]/[3759] Speed: 119.038230 samples/sec accuracy=34.991071 loss=2.929306 lr=0.090139 Epoch[066] Batch [3549]/[3759] Speed: 119.451964 samples/sec accuracy=34.995599 loss=2.929303 lr=0.090132 Epoch[066] Batch [3599]/[3759] Speed: 119.095913 samples/sec accuracy=34.982205 loss=2.929964 lr=0.090124 Epoch[066] Batch [3649]/[3759] Speed: 120.041451 samples/sec accuracy=34.991438 loss=2.929418 lr=0.090116 Epoch[066] Batch [3699]/[3759] Speed: 119.096660 samples/sec accuracy=34.967905 loss=2.930162 lr=0.090109 Epoch[066] Batch [3749]/[3759] Speed: 123.625508 samples/sec accuracy=34.975833 loss=2.930217 lr=0.090101 Batch [0049]/[0303]: acc-top1=34.656250 acc-top5=60.875000 Batch [0099]/[0303]: acc-top1=33.203125 acc-top5=60.046875 Batch [0149]/[0303]: acc-top1=34.281250 acc-top5=61.187500 Batch [0199]/[0303]: acc-top1=36.359375 acc-top5=62.492187 Batch [0249]/[0303]: acc-top1=35.631250 acc-top5=62.143750 Batch [0299]/[0303]: acc-top1=34.817708 acc-top5=62.062500 [Epoch 066] training: accuracy=34.972732 loss=2.930387 [Epoch 066] speed: 118 samples/sec time cost: 2141.810449 [Epoch 066] validation: acc-top1=34.689563 acc-top5=62.046205 loss=3.109011 Epoch[067] Batch [0049]/[3760] Speed: 88.829240 samples/sec accuracy=35.906250 loss=2.893080 lr=0.090092 Epoch[067] Batch [0099]/[3760] Speed: 118.852586 samples/sec accuracy=36.000000 loss=2.886429 lr=0.090084 Epoch[067] Batch [0149]/[3760] Speed: 119.465445 samples/sec accuracy=35.666667 loss=2.905052 lr=0.090076 Epoch[067] Batch [0199]/[3760] Speed: 119.284961 samples/sec accuracy=35.921875 loss=2.896087 lr=0.090069 Epoch[067] Batch [0249]/[3760] Speed: 118.195131 samples/sec accuracy=35.543750 loss=2.912584 lr=0.090061 Epoch[067] Batch [0299]/[3760] Speed: 119.592125 samples/sec accuracy=35.562500 loss=2.913741 lr=0.090053 Epoch[067] Batch [0349]/[3760] Speed: 118.989062 samples/sec accuracy=35.593750 loss=2.914739 lr=0.090046 Epoch[067] 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samples/sec accuracy=35.360294 loss=2.908079 lr=0.089968 Epoch[067] Batch [0899]/[3760] Speed: 118.748876 samples/sec accuracy=35.336806 loss=2.909861 lr=0.089960 Epoch[067] Batch [0949]/[3760] Speed: 119.360373 samples/sec accuracy=35.384868 loss=2.909747 lr=0.089953 Epoch[067] Batch [0999]/[3760] Speed: 118.228784 samples/sec accuracy=35.314062 loss=2.912651 lr=0.089945 Epoch[067] Batch [1049]/[3760] Speed: 118.471001 samples/sec accuracy=35.296131 loss=2.912322 lr=0.089937 Epoch[067] Batch [1099]/[3760] Speed: 119.478748 samples/sec accuracy=35.240057 loss=2.914426 lr=0.089929 Epoch[067] Batch [1149]/[3760] Speed: 119.649074 samples/sec accuracy=35.262228 loss=2.912972 lr=0.089922 Epoch[067] Batch [1199]/[3760] Speed: 119.496979 samples/sec accuracy=35.212240 loss=2.915121 lr=0.089914 Epoch[067] Batch [1249]/[3760] Speed: 119.232613 samples/sec accuracy=35.283750 loss=2.914598 lr=0.089906 Epoch[067] Batch [1299]/[3760] Speed: 118.729424 samples/sec accuracy=35.287260 loss=2.915348 lr=0.089898 Epoch[067] Batch [1349]/[3760] Speed: 119.277271 samples/sec accuracy=35.276620 loss=2.915201 lr=0.089891 Epoch[067] Batch [1399]/[3760] Speed: 119.523299 samples/sec accuracy=35.330357 loss=2.913181 lr=0.089883 Epoch[067] Batch [1449]/[3760] Speed: 119.567752 samples/sec accuracy=35.309267 loss=2.916508 lr=0.089875 Epoch[067] Batch [1499]/[3760] Speed: 119.116937 samples/sec accuracy=35.313542 loss=2.915402 lr=0.089867 Epoch[067] Batch [1549]/[3760] Speed: 119.655511 samples/sec accuracy=35.252016 loss=2.917418 lr=0.089859 Epoch[067] Batch [1599]/[3760] Speed: 118.728854 samples/sec accuracy=35.234375 loss=2.919524 lr=0.089852 Epoch[067] Batch [1649]/[3760] Speed: 118.986536 samples/sec accuracy=35.236742 loss=2.919434 lr=0.089844 Epoch[067] Batch [1699]/[3760] Speed: 119.454503 samples/sec accuracy=35.226103 loss=2.920124 lr=0.089836 Epoch[067] Batch [1749]/[3760] Speed: 119.336547 samples/sec accuracy=35.261607 loss=2.919291 lr=0.089828 Epoch[067] Batch [1799]/[3760] Speed: 119.761984 samples/sec accuracy=35.273438 loss=2.919008 lr=0.089820 Epoch[067] Batch [1849]/[3760] Speed: 118.695145 samples/sec accuracy=35.249155 loss=2.919637 lr=0.089813 Epoch[067] Batch [1899]/[3760] Speed: 119.505829 samples/sec accuracy=35.211349 loss=2.920826 lr=0.089805 Epoch[067] Batch [1949]/[3760] Speed: 119.072101 samples/sec accuracy=35.171474 loss=2.922492 lr=0.089797 Epoch[067] Batch [1999]/[3760] Speed: 120.381297 samples/sec accuracy=35.131250 loss=2.923399 lr=0.089789 Epoch[067] Batch [2049]/[3760] Speed: 119.710754 samples/sec accuracy=35.120427 loss=2.924194 lr=0.089781 Epoch[067] Batch [2099]/[3760] Speed: 119.545553 samples/sec accuracy=35.122768 loss=2.923908 lr=0.089774 Epoch[067] Batch [2149]/[3760] Speed: 119.731863 samples/sec accuracy=35.110465 loss=2.923971 lr=0.089766 Epoch[067] Batch [2199]/[3760] Speed: 119.156926 samples/sec accuracy=35.105824 loss=2.924462 lr=0.089758 Epoch[067] Batch [2249]/[3760] Speed: 119.883457 samples/sec accuracy=35.100694 loss=2.925057 lr=0.089750 Epoch[067] Batch [2299]/[3760] Speed: 118.897531 samples/sec accuracy=35.073370 loss=2.925660 lr=0.089742 Epoch[067] Batch [2349]/[3760] Speed: 119.941080 samples/sec accuracy=35.068484 loss=2.925740 lr=0.089734 Epoch[067] Batch [2399]/[3760] Speed: 118.976848 samples/sec accuracy=35.053385 loss=2.925765 lr=0.089727 Epoch[067] Batch [2449]/[3760] Speed: 120.147363 samples/sec accuracy=35.019770 loss=2.926804 lr=0.089719 Epoch[067] Batch [2499]/[3760] Speed: 118.914749 samples/sec accuracy=35.011875 loss=2.926264 lr=0.089711 Epoch[067] Batch [2549]/[3760] Speed: 119.082222 samples/sec accuracy=35.022059 loss=2.926207 lr=0.089703 Epoch[067] Batch [2599]/[3760] Speed: 118.820348 samples/sec accuracy=34.986779 loss=2.927120 lr=0.089695 Epoch[067] Batch [2649]/[3760] Speed: 118.555982 samples/sec accuracy=34.960495 loss=2.928018 lr=0.089687 Epoch[067] Batch [2699]/[3760] Speed: 119.885526 samples/sec accuracy=34.962963 loss=2.927299 lr=0.089680 Epoch[067] Batch [2749]/[3760] Speed: 118.189200 samples/sec accuracy=35.014773 loss=2.925832 lr=0.089672 Epoch[067] Batch [2799]/[3760] Speed: 119.614261 samples/sec accuracy=35.022879 loss=2.926464 lr=0.089664 Epoch[067] Batch [2849]/[3760] Speed: 118.636971 samples/sec accuracy=35.014803 loss=2.926757 lr=0.089656 Epoch[067] Batch [2899]/[3760] Speed: 119.209566 samples/sec accuracy=35.017780 loss=2.926687 lr=0.089648 Epoch[067] Batch [2949]/[3760] Speed: 118.807780 samples/sec accuracy=34.990466 loss=2.928431 lr=0.089640 Epoch[067] Batch [2999]/[3760] Speed: 119.470941 samples/sec accuracy=35.010417 loss=2.926802 lr=0.089632 Epoch[067] Batch [3049]/[3760] Speed: 118.892598 samples/sec accuracy=35.015881 loss=2.926927 lr=0.089625 Epoch[067] Batch [3099]/[3760] Speed: 119.741751 samples/sec accuracy=35.015625 loss=2.926826 lr=0.089617 Epoch[067] Batch [3149]/[3760] Speed: 119.584488 samples/sec accuracy=35.011409 loss=2.927036 lr=0.089609 Epoch[067] Batch [3199]/[3760] Speed: 119.260564 samples/sec accuracy=35.000000 loss=2.927187 lr=0.089601 Epoch[067] Batch [3249]/[3760] Speed: 119.868714 samples/sec accuracy=34.989904 loss=2.927360 lr=0.089593 Epoch[067] Batch [3299]/[3760] Speed: 119.137730 samples/sec accuracy=34.988163 loss=2.927355 lr=0.089585 Epoch[067] Batch [3349]/[3760] Speed: 118.833911 samples/sec accuracy=34.993937 loss=2.927062 lr=0.089577 Epoch[067] Batch [3399]/[3760] Speed: 118.095778 samples/sec accuracy=34.982077 loss=2.928317 lr=0.089569 Epoch[067] Batch [3449]/[3760] Speed: 119.867068 samples/sec accuracy=34.983243 loss=2.928640 lr=0.089562 Epoch[067] Batch [3499]/[3760] Speed: 118.472578 samples/sec accuracy=34.973214 loss=2.928559 lr=0.089554 Epoch[067] Batch [3549]/[3760] Speed: 119.170034 samples/sec accuracy=34.966109 loss=2.928409 lr=0.089546 Epoch[067] Batch [3599]/[3760] Speed: 119.277232 samples/sec accuracy=34.964844 loss=2.928944 lr=0.089538 Epoch[067] Batch [3649]/[3760] Speed: 119.666808 samples/sec accuracy=34.968322 loss=2.929344 lr=0.089530 Epoch[067] Batch [3699]/[3760] Speed: 119.630857 samples/sec accuracy=34.978885 loss=2.929543 lr=0.089522 Epoch[067] Batch [3749]/[3760] Speed: 122.923956 samples/sec accuracy=35.001667 loss=2.929222 lr=0.089514 Batch [0049]/[0303]: acc-top1=34.406250 acc-top5=61.625000 Batch [0099]/[0303]: acc-top1=33.109375 acc-top5=60.250000 Batch [0149]/[0303]: acc-top1=34.385417 acc-top5=61.166667 Batch [0199]/[0303]: acc-top1=37.023438 acc-top5=63.375000 Batch [0249]/[0303]: acc-top1=35.881250 acc-top5=62.993750 Batch [0299]/[0303]: acc-top1=34.942708 acc-top5=62.562500 [Epoch 067] training: accuracy=34.998338 loss=2.929296 [Epoch 067] speed: 118 samples/sec time cost: 2145.068680 [Epoch 067] validation: acc-top1=34.859736 acc-top5=62.469059 loss=3.223430 Epoch[068] Batch [0049]/[3760] Speed: 88.225109 samples/sec accuracy=35.718750 loss=2.886927 lr=0.089505 Epoch[068] Batch [0099]/[3760] Speed: 119.025584 samples/sec accuracy=35.890625 loss=2.897045 lr=0.089497 Epoch[068] Batch [0149]/[3760] Speed: 119.730250 samples/sec accuracy=36.197917 loss=2.883921 lr=0.089489 Epoch[068] Batch [0199]/[3760] Speed: 119.927151 samples/sec accuracy=36.281250 loss=2.871851 lr=0.089481 Epoch[068] Batch [0249]/[3760] Speed: 120.054587 samples/sec accuracy=35.987500 loss=2.869966 lr=0.089473 Epoch[068] Batch [0299]/[3760] Speed: 118.428370 samples/sec accuracy=35.614583 loss=2.887613 lr=0.089465 Epoch[068] Batch [0349]/[3760] Speed: 119.911267 samples/sec accuracy=35.455357 loss=2.892347 lr=0.089457 Epoch[068] Batch [0399]/[3760] Speed: 119.751794 samples/sec accuracy=35.523438 loss=2.890256 lr=0.089449 Epoch[068] Batch [0449]/[3760] Speed: 119.157058 samples/sec accuracy=35.243056 loss=2.902894 lr=0.089441 Epoch[068] Batch [0499]/[3760] Speed: 119.114147 samples/sec accuracy=35.284375 loss=2.906803 lr=0.089433 Epoch[068] Batch [0549]/[3760] Speed: 119.690238 samples/sec accuracy=35.372159 loss=2.904587 lr=0.089426 Epoch[068] Batch [0599]/[3760] Speed: 118.348334 samples/sec accuracy=35.359375 loss=2.906626 lr=0.089418 Epoch[068] Batch [0649]/[3760] Speed: 119.708558 samples/sec accuracy=35.235577 loss=2.912989 lr=0.089410 Epoch[068] Batch [0699]/[3760] Speed: 119.025790 samples/sec accuracy=35.162946 loss=2.915258 lr=0.089402 Epoch[068] Batch [0749]/[3760] Speed: 119.378369 samples/sec accuracy=35.133333 loss=2.914957 lr=0.089394 Epoch[068] Batch [0799]/[3760] Speed: 119.266310 samples/sec accuracy=35.144531 loss=2.914468 lr=0.089386 Epoch[068] Batch [0849]/[3760] Speed: 118.968336 samples/sec accuracy=35.156250 loss=2.916410 lr=0.089378 Epoch[068] Batch [0899]/[3760] Speed: 119.476867 samples/sec accuracy=35.157986 loss=2.917243 lr=0.089370 Epoch[068] Batch [0949]/[3760] Speed: 118.764818 samples/sec accuracy=35.236842 loss=2.916807 lr=0.089362 Epoch[068] Batch [0999]/[3760] Speed: 119.362091 samples/sec accuracy=35.151562 loss=2.918136 lr=0.089354 Epoch[068] Batch [1049]/[3760] Speed: 118.645362 samples/sec accuracy=35.163690 loss=2.919312 lr=0.089346 Epoch[068] Batch [1099]/[3760] Speed: 119.373293 samples/sec accuracy=35.188920 loss=2.918740 lr=0.089338 Epoch[068] Batch [1149]/[3760] Speed: 118.754967 samples/sec accuracy=35.198370 loss=2.918843 lr=0.089330 Epoch[068] Batch [1199]/[3760] Speed: 118.964941 samples/sec accuracy=35.178385 loss=2.918033 lr=0.089322 Epoch[068] Batch [1249]/[3760] Speed: 119.582595 samples/sec accuracy=35.198750 loss=2.917442 lr=0.089314 Epoch[068] Batch [1299]/[3760] Speed: 118.905752 samples/sec accuracy=35.207933 loss=2.919390 lr=0.089306 Epoch[068] Batch [1349]/[3760] Speed: 119.214252 samples/sec accuracy=35.221065 loss=2.919675 lr=0.089298 Epoch[068] Batch [1399]/[3760] Speed: 119.287099 samples/sec accuracy=35.217634 loss=2.918692 lr=0.089290 Epoch[068] Batch [1449]/[3760] Speed: 118.423411 samples/sec accuracy=35.261853 loss=2.915006 lr=0.089282 Epoch[068] Batch [1499]/[3760] Speed: 119.303997 samples/sec accuracy=35.237500 loss=2.915618 lr=0.089274 Epoch[068] Batch 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accuracy=35.201563 loss=2.919692 lr=0.089194 Epoch[068] Batch [2049]/[3760] Speed: 119.014189 samples/sec accuracy=35.192073 loss=2.920244 lr=0.089186 Epoch[068] Batch [2099]/[3760] Speed: 118.773669 samples/sec accuracy=35.210565 loss=2.918763 lr=0.089178 Epoch[068] Batch [2149]/[3760] Speed: 118.711838 samples/sec accuracy=35.202035 loss=2.920315 lr=0.089170 Epoch[068] Batch [2199]/[3760] Speed: 119.545881 samples/sec accuracy=35.254261 loss=2.919760 lr=0.089162 Epoch[068] Batch [2249]/[3760] Speed: 118.785817 samples/sec accuracy=35.273611 loss=2.918411 lr=0.089154 Epoch[068] Batch [2299]/[3760] Speed: 119.614078 samples/sec accuracy=35.243207 loss=2.919807 lr=0.089146 Epoch[068] Batch [2349]/[3760] Speed: 119.845070 samples/sec accuracy=35.189495 loss=2.921688 lr=0.089138 Epoch[068] Batch [2399]/[3760] Speed: 118.652328 samples/sec accuracy=35.182292 loss=2.921834 lr=0.089130 Epoch[068] Batch [2449]/[3760] Speed: 119.742650 samples/sec accuracy=35.163265 loss=2.923491 lr=0.089122 Epoch[068] Batch [2499]/[3760] Speed: 119.353184 samples/sec accuracy=35.168125 loss=2.922914 lr=0.089114 Epoch[068] Batch [2549]/[3760] Speed: 119.780243 samples/sec accuracy=35.190564 loss=2.921950 lr=0.089106 Epoch[068] Batch [2599]/[3760] Speed: 118.668974 samples/sec accuracy=35.209135 loss=2.920928 lr=0.089098 Epoch[068] Batch [2649]/[3760] Speed: 119.614477 samples/sec accuracy=35.177476 loss=2.922376 lr=0.089090 Epoch[068] Batch [2699]/[3760] Speed: 120.275999 samples/sec accuracy=35.148148 loss=2.923077 lr=0.089082 Epoch[068] Batch [2749]/[3760] Speed: 119.234479 samples/sec accuracy=35.149432 loss=2.922860 lr=0.089074 Epoch[068] Batch [2799]/[3760] Speed: 119.570231 samples/sec accuracy=35.162946 loss=2.923013 lr=0.089066 Epoch[068] Batch [2849]/[3760] Speed: 119.439961 samples/sec accuracy=35.150219 loss=2.922911 lr=0.089058 Epoch[068] Batch [2899]/[3760] Speed: 118.596588 samples/sec accuracy=35.148168 loss=2.923214 lr=0.089050 Epoch[068] Batch [2949]/[3760] Speed: 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loss=2.922234 lr=0.088969 Epoch[068] Batch [3449]/[3760] Speed: 119.323525 samples/sec accuracy=35.163496 loss=2.921833 lr=0.088961 Epoch[068] Batch [3499]/[3760] Speed: 118.454047 samples/sec accuracy=35.170089 loss=2.921453 lr=0.088953 Epoch[068] Batch [3549]/[3760] Speed: 119.257345 samples/sec accuracy=35.157130 loss=2.921804 lr=0.088945 Epoch[068] Batch [3599]/[3760] Speed: 119.086464 samples/sec accuracy=35.167535 loss=2.921514 lr=0.088937 Epoch[068] Batch [3649]/[3760] Speed: 118.439863 samples/sec accuracy=35.169092 loss=2.921508 lr=0.088929 Epoch[068] Batch [3699]/[3760] Speed: 120.067497 samples/sec accuracy=35.172297 loss=2.920930 lr=0.088921 Epoch[068] Batch [3749]/[3760] Speed: 122.919841 samples/sec accuracy=35.185417 loss=2.920116 lr=0.088913 Batch [0049]/[0303]: acc-top1=35.156250 acc-top5=62.343750 Batch [0099]/[0303]: acc-top1=33.421875 acc-top5=60.359375 Batch [0149]/[0303]: acc-top1=35.010417 acc-top5=61.572917 Batch [0199]/[0303]: acc-top1=37.179688 acc-top5=63.367188 Batch [0249]/[0303]: acc-top1=36.425000 acc-top5=63.068750 Batch [0299]/[0303]: acc-top1=35.369792 acc-top5=62.661458 [Epoch 068] training: accuracy=35.186586 loss=2.920322 [Epoch 068] speed: 118 samples/sec time cost: 2143.609804 [Epoch 068] validation: acc-top1=35.359942 acc-top5=62.680487 loss=3.046127 Epoch[069] Batch [0049]/[3759] Speed: 88.223676 samples/sec accuracy=35.250000 loss=2.862359 lr=0.088903 Epoch[069] Batch [0099]/[3759] Speed: 119.926243 samples/sec accuracy=34.828125 loss=2.895926 lr=0.088895 Epoch[069] Batch [0149]/[3759] Speed: 118.630201 samples/sec accuracy=35.197917 loss=2.894121 lr=0.088887 Epoch[069] Batch [0199]/[3759] Speed: 119.258613 samples/sec accuracy=35.343750 loss=2.888650 lr=0.088879 Epoch[069] Batch [0249]/[3759] Speed: 120.273465 samples/sec accuracy=35.250000 loss=2.888753 lr=0.088870 Epoch[069] Batch [0299]/[3759] Speed: 119.395069 samples/sec accuracy=35.291667 loss=2.885440 lr=0.088862 Epoch[069] Batch [0349]/[3759] Speed: 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accuracy=35.203571 loss=2.910538 lr=0.088626 Epoch[069] Batch [1799]/[3759] Speed: 119.637415 samples/sec accuracy=35.235243 loss=2.910051 lr=0.088618 Epoch[069] Batch [1849]/[3759] Speed: 119.088482 samples/sec accuracy=35.269426 loss=2.909076 lr=0.088609 Epoch[069] Batch [1899]/[3759] Speed: 118.797194 samples/sec accuracy=35.297697 loss=2.909371 lr=0.088601 Epoch[069] Batch [1949]/[3759] Speed: 119.413780 samples/sec accuracy=35.293269 loss=2.909198 lr=0.088593 Epoch[069] Batch [1999]/[3759] Speed: 118.346753 samples/sec accuracy=35.288281 loss=2.909321 lr=0.088585 Epoch[069] Batch [2049]/[3759] Speed: 118.847315 samples/sec accuracy=35.292683 loss=2.909185 lr=0.088577 Epoch[069] Batch [2099]/[3759] Speed: 119.354216 samples/sec accuracy=35.280506 loss=2.910923 lr=0.088568 Epoch[069] Batch [2149]/[3759] Speed: 118.630879 samples/sec accuracy=35.287791 loss=2.910945 lr=0.088560 Epoch[069] Batch [2199]/[3759] Speed: 119.750770 samples/sec accuracy=35.259233 loss=2.910688 lr=0.088552 Epoch[069] Batch [2249]/[3759] Speed: 119.374195 samples/sec accuracy=35.267361 loss=2.910737 lr=0.088544 Epoch[069] Batch [2299]/[3759] Speed: 119.846826 samples/sec accuracy=35.239810 loss=2.910836 lr=0.088536 Epoch[069] Batch [2349]/[3759] Speed: 118.364479 samples/sec accuracy=35.196809 loss=2.912554 lr=0.088527 Epoch[069] Batch [2399]/[3759] Speed: 119.594732 samples/sec accuracy=35.177083 loss=2.913992 lr=0.088519 Epoch[069] Batch [2449]/[3759] Speed: 120.018231 samples/sec accuracy=35.178571 loss=2.914409 lr=0.088511 Epoch[069] Batch [2499]/[3759] Speed: 118.605088 samples/sec accuracy=35.205625 loss=2.914324 lr=0.088503 Epoch[069] Batch [2549]/[3759] Speed: 118.829874 samples/sec accuracy=35.205270 loss=2.913341 lr=0.088494 Epoch[069] Batch [2599]/[3759] Speed: 119.159536 samples/sec accuracy=35.188101 loss=2.914647 lr=0.088486 Epoch[069] Batch [2649]/[3759] Speed: 119.870796 samples/sec accuracy=35.185142 loss=2.915596 lr=0.088478 Epoch[069] Batch [2699]/[3759] Speed: 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loss=2.916424 lr=0.088396 Epoch[069] Batch [3199]/[3759] Speed: 119.531670 samples/sec accuracy=35.198730 loss=2.916017 lr=0.088387 Epoch[069] Batch [3249]/[3759] Speed: 119.923965 samples/sec accuracy=35.177404 loss=2.916413 lr=0.088379 Epoch[069] Batch [3299]/[3759] Speed: 119.037268 samples/sec accuracy=35.180871 loss=2.916526 lr=0.088371 Epoch[069] Batch [3349]/[3759] Speed: 120.041939 samples/sec accuracy=35.173974 loss=2.916729 lr=0.088362 Epoch[069] Batch [3399]/[3759] Speed: 119.556861 samples/sec accuracy=35.178768 loss=2.916662 lr=0.088354 Epoch[069] Batch [3449]/[3759] Speed: 119.854589 samples/sec accuracy=35.166667 loss=2.917249 lr=0.088346 Epoch[069] Batch [3499]/[3759] Speed: 119.608469 samples/sec accuracy=35.158929 loss=2.917549 lr=0.088338 Epoch[069] Batch [3549]/[3759] Speed: 119.209046 samples/sec accuracy=35.146127 loss=2.918517 lr=0.088329 Epoch[069] Batch [3599]/[3759] Speed: 118.904336 samples/sec accuracy=35.141493 loss=2.917801 lr=0.088321 Epoch[069] Batch [3649]/[3759] Speed: 118.765892 samples/sec accuracy=35.124572 loss=2.918635 lr=0.088313 Epoch[069] Batch [3699]/[3759] Speed: 120.046735 samples/sec accuracy=35.124155 loss=2.918329 lr=0.088305 Epoch[069] Batch [3749]/[3759] Speed: 123.635993 samples/sec accuracy=35.142500 loss=2.917768 lr=0.088296 Batch [0049]/[0303]: acc-top1=35.593750 acc-top5=61.718750 Batch [0099]/[0303]: acc-top1=32.140625 acc-top5=59.046875 Batch [0149]/[0303]: acc-top1=33.760417 acc-top5=60.270833 Batch [0199]/[0303]: acc-top1=36.460938 acc-top5=62.796875 Batch [0249]/[0303]: acc-top1=36.068750 acc-top5=62.787500 Batch [0299]/[0303]: acc-top1=35.291667 acc-top5=62.427083 [Epoch 069] training: accuracy=35.139415 loss=2.917988 [Epoch 069] speed: 118 samples/sec time cost: 2140.778689 [Epoch 069] validation: acc-top1=35.277434 acc-top5=62.458746 loss=3.084326 Epoch[070] Batch [0049]/[3760] Speed: 88.926658 samples/sec accuracy=35.031250 loss=2.923928 lr=0.088286 Epoch[070] Batch [0099]/[3760] Speed: 119.273032 samples/sec accuracy=35.625000 loss=2.891113 lr=0.088278 Epoch[070] Batch [0149]/[3760] Speed: 120.198675 samples/sec accuracy=35.958333 loss=2.880238 lr=0.088270 Epoch[070] Batch [0199]/[3760] Speed: 118.704437 samples/sec accuracy=35.695312 loss=2.880035 lr=0.088262 Epoch[070] Batch [0249]/[3760] Speed: 119.469604 samples/sec accuracy=35.550000 loss=2.885504 lr=0.088253 Epoch[070] Batch [0299]/[3760] Speed: 119.385913 samples/sec accuracy=35.703125 loss=2.883465 lr=0.088245 Epoch[070] Batch [0349]/[3760] Speed: 120.325048 samples/sec accuracy=35.705357 loss=2.881983 lr=0.088237 Epoch[070] Batch [0399]/[3760] Speed: 119.261305 samples/sec accuracy=35.753906 loss=2.883061 lr=0.088228 Epoch[070] Batch [0449]/[3760] Speed: 119.813888 samples/sec accuracy=35.711806 loss=2.888865 lr=0.088220 Epoch[070] Batch [0499]/[3760] Speed: 119.570977 samples/sec accuracy=35.565625 loss=2.895237 lr=0.088212 Epoch[070] Batch [0549]/[3760] Speed: 119.956718 samples/sec accuracy=35.690341 loss=2.895351 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accuracy=35.495833 loss=2.902527 lr=0.088045 Epoch[070] Batch [1549]/[3760] Speed: 119.543760 samples/sec accuracy=35.487903 loss=2.904007 lr=0.088036 Epoch[070] Batch [1599]/[3760] Speed: 119.326027 samples/sec accuracy=35.501953 loss=2.903436 lr=0.088028 Epoch[070] Batch [1649]/[3760] Speed: 119.644548 samples/sec accuracy=35.470644 loss=2.904204 lr=0.088020 Epoch[070] Batch [1699]/[3760] Speed: 120.297639 samples/sec accuracy=35.436581 loss=2.905155 lr=0.088011 Epoch[070] Batch [1749]/[3760] Speed: 119.416107 samples/sec accuracy=35.415179 loss=2.906556 lr=0.088003 Epoch[070] Batch [1799]/[3760] Speed: 119.283175 samples/sec accuracy=35.440104 loss=2.905194 lr=0.087995 Epoch[070] Batch [1849]/[3760] Speed: 119.893068 samples/sec accuracy=35.444257 loss=2.905066 lr=0.087986 Epoch[070] Batch [1899]/[3760] Speed: 120.077354 samples/sec accuracy=35.432566 loss=2.906064 lr=0.087978 Epoch[070] Batch [1949]/[3760] Speed: 119.837244 samples/sec accuracy=35.456731 loss=2.905134 lr=0.087969 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acc-top5=60.104167 Batch [0199]/[0303]: acc-top1=36.367188 acc-top5=62.679688 Batch [0249]/[0303]: acc-top1=35.650000 acc-top5=62.500000 Batch [0299]/[0303]: acc-top1=35.088542 acc-top5=62.604167 [Epoch 070] training: accuracy=35.353225 loss=2.910694 [Epoch 070] speed: 118 samples/sec time cost: 2140.772269 [Epoch 070] validation: acc-top1=35.112417 acc-top5=62.613449 loss=3.093273 Epoch[071] Batch [0049]/[3760] Speed: 88.097369 samples/sec accuracy=36.437500 loss=2.807352 lr=0.087655 Epoch[071] Batch [0099]/[3760] Speed: 118.919953 samples/sec accuracy=35.937500 loss=2.860928 lr=0.087647 Epoch[071] Batch [0149]/[3760] Speed: 119.979997 samples/sec accuracy=35.822917 loss=2.866903 lr=0.087638 Epoch[071] Batch [0199]/[3760] Speed: 118.456217 samples/sec accuracy=35.828125 loss=2.873472 lr=0.087630 Epoch[071] Batch [0249]/[3760] Speed: 119.753017 samples/sec accuracy=35.612500 loss=2.871843 lr=0.087622 Epoch[071] Batch [0299]/[3760] Speed: 118.909255 samples/sec accuracy=35.437500 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accuracy=35.434462 loss=2.903310 lr=0.087047 Epoch[071] Batch [3649]/[3760] Speed: 118.732702 samples/sec accuracy=35.418236 loss=2.904406 lr=0.087038 Epoch[071] Batch [3699]/[3760] Speed: 118.903239 samples/sec accuracy=35.410895 loss=2.905222 lr=0.087029 Epoch[071] Batch [3749]/[3760] Speed: 122.785230 samples/sec accuracy=35.405000 loss=2.905529 lr=0.087021 Batch [0049]/[0303]: acc-top1=35.406250 acc-top5=63.125000 Batch [0099]/[0303]: acc-top1=32.625000 acc-top5=60.312500 Batch [0149]/[0303]: acc-top1=34.395833 acc-top5=61.968750 Batch [0199]/[0303]: acc-top1=36.554688 acc-top5=63.601562 Batch [0249]/[0303]: acc-top1=35.812500 acc-top5=63.268750 Batch [0299]/[0303]: acc-top1=35.729167 acc-top5=63.338542 [Epoch 071] training: accuracy=35.406001 loss=2.905714 [Epoch 071] speed: 118 samples/sec time cost: 2145.267310 [Epoch 071] validation: acc-top1=35.622937 acc-top5=63.299299 loss=3.043140 Epoch[072] Batch [0049]/[3759] Speed: 88.368098 samples/sec accuracy=38.500000 loss=2.761690 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accuracy=35.500466 loss=2.900862 lr=0.086433 Epoch[072] Batch [3399]/[3759] Speed: 118.764584 samples/sec accuracy=35.483456 loss=2.900322 lr=0.086424 Epoch[072] Batch [3449]/[3759] Speed: 119.368369 samples/sec accuracy=35.489583 loss=2.899852 lr=0.086415 Epoch[072] Batch [3499]/[3759] Speed: 119.009996 samples/sec accuracy=35.475446 loss=2.900601 lr=0.086406 Epoch[072] Batch [3549]/[3759] Speed: 119.858975 samples/sec accuracy=35.472711 loss=2.900814 lr=0.086397 Epoch[072] Batch [3599]/[3759] Speed: 119.282985 samples/sec accuracy=35.457899 loss=2.900885 lr=0.086388 Epoch[072] Batch [3649]/[3759] Speed: 118.925565 samples/sec accuracy=35.453339 loss=2.901107 lr=0.086380 Epoch[072] Batch [3699]/[3759] Speed: 119.116030 samples/sec accuracy=35.441723 loss=2.901539 lr=0.086371 Epoch[072] Batch [3749]/[3759] Speed: 122.935436 samples/sec accuracy=35.440000 loss=2.901943 lr=0.086362 Batch [0049]/[0303]: acc-top1=35.687500 acc-top5=61.906250 Batch [0099]/[0303]: acc-top1=32.937500 acc-top5=60.468750 Batch [0149]/[0303]: acc-top1=34.260417 acc-top5=60.937500 Batch [0199]/[0303]: acc-top1=37.109375 acc-top5=63.250000 Batch [0249]/[0303]: acc-top1=36.350000 acc-top5=62.987500 Batch [0299]/[0303]: acc-top1=36.119792 acc-top5=63.135417 [Epoch 072] training: accuracy=35.443685 loss=2.901748 [Epoch 072] speed: 118 samples/sec time cost: 2145.547738 [Epoch 072] validation: acc-top1=36.071576 acc-top5=63.139439 loss=3.157131 Epoch[073] Batch [0049]/[3760] Speed: 87.383010 samples/sec accuracy=36.781250 loss=2.833608 lr=0.086351 Epoch[073] Batch [0099]/[3760] Speed: 120.111138 samples/sec accuracy=35.968750 loss=2.869981 lr=0.086343 Epoch[073] Batch [0149]/[3760] Speed: 119.164735 samples/sec accuracy=36.281250 loss=2.856778 lr=0.086334 Epoch[073] Batch [0199]/[3760] Speed: 119.317265 samples/sec accuracy=36.367188 loss=2.851582 lr=0.086325 Epoch[073] Batch [0249]/[3760] Speed: 119.650746 samples/sec accuracy=36.143750 loss=2.875875 lr=0.086316 Epoch[073] Batch 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accuracy=35.760081 loss=2.886403 lr=0.085807 Epoch[073] Batch [3149]/[3760] Speed: 119.583299 samples/sec accuracy=35.758929 loss=2.886709 lr=0.085798 Epoch[073] Batch [3199]/[3760] Speed: 119.897175 samples/sec accuracy=35.742676 loss=2.887060 lr=0.085789 Epoch[073] Batch [3249]/[3760] Speed: 120.094276 samples/sec accuracy=35.735577 loss=2.888156 lr=0.085780 Epoch[073] Batch [3299]/[3760] Speed: 119.432972 samples/sec accuracy=35.736742 loss=2.888158 lr=0.085771 Epoch[073] Batch [3349]/[3760] Speed: 119.150783 samples/sec accuracy=35.733209 loss=2.888655 lr=0.085762 Epoch[073] Batch [3399]/[3760] Speed: 118.464981 samples/sec accuracy=35.730699 loss=2.889052 lr=0.085753 Epoch[073] Batch [3449]/[3760] Speed: 118.758388 samples/sec accuracy=35.721014 loss=2.889372 lr=0.085744 Epoch[073] Batch [3499]/[3760] Speed: 119.296486 samples/sec accuracy=35.733036 loss=2.888833 lr=0.085735 Epoch[073] Batch [3549]/[3760] Speed: 118.901134 samples/sec accuracy=35.706866 loss=2.889258 lr=0.085726 Epoch[073] Batch [3599]/[3760] Speed: 120.010849 samples/sec accuracy=35.704427 loss=2.889447 lr=0.085717 Epoch[073] Batch [3649]/[3760] Speed: 118.954885 samples/sec accuracy=35.692637 loss=2.889856 lr=0.085708 Epoch[073] Batch [3699]/[3760] Speed: 119.499590 samples/sec accuracy=35.686655 loss=2.889826 lr=0.085699 Epoch[073] Batch [3749]/[3760] Speed: 123.476531 samples/sec accuracy=35.682500 loss=2.889761 lr=0.085690 Batch [0049]/[0303]: acc-top1=37.187500 acc-top5=63.656250 Batch [0099]/[0303]: acc-top1=35.562500 acc-top5=61.984375 Batch [0149]/[0303]: acc-top1=35.843750 acc-top5=62.333333 Batch [0199]/[0303]: acc-top1=38.625000 acc-top5=64.656250 Batch [0249]/[0303]: acc-top1=38.056250 acc-top5=64.875000 Batch [0299]/[0303]: acc-top1=37.640625 acc-top5=64.885417 [Epoch 073] training: accuracy=35.679023 loss=2.889957 [Epoch 073] speed: 118 samples/sec time cost: 2144.524358 [Epoch 073] validation: acc-top1=37.592822 acc-top5=64.877269 loss=2.942498 Epoch[074] Batch [0049]/[3760] Speed: 87.419323 samples/sec accuracy=35.750000 loss=2.849969 lr=0.085679 Epoch[074] Batch [0099]/[3760] Speed: 120.274356 samples/sec accuracy=36.031250 loss=2.855275 lr=0.085670 Epoch[074] Batch [0149]/[3760] Speed: 119.326348 samples/sec accuracy=35.760417 loss=2.865517 lr=0.085661 Epoch[074] Batch [0199]/[3760] Speed: 119.894386 samples/sec accuracy=35.929688 loss=2.861541 lr=0.085652 Epoch[074] Batch [0249]/[3760] Speed: 118.725007 samples/sec accuracy=36.062500 loss=2.863765 lr=0.085643 Epoch[074] Batch [0299]/[3760] Speed: 119.377938 samples/sec accuracy=36.005208 loss=2.863504 lr=0.085634 Epoch[074] Batch [0349]/[3760] Speed: 119.101771 samples/sec accuracy=36.156250 loss=2.852162 lr=0.085624 Epoch[074] Batch [0399]/[3760] Speed: 118.934415 samples/sec accuracy=36.156250 loss=2.857885 lr=0.085615 Epoch[074] Batch [0449]/[3760] Speed: 119.439748 samples/sec accuracy=36.173611 loss=2.865570 lr=0.085606 Epoch[074] Batch [0499]/[3760] Speed: 119.207316 samples/sec accuracy=36.112500 loss=2.867513 lr=0.085597 Epoch[074] Batch [0549]/[3760] Speed: 119.086561 samples/sec accuracy=36.125000 loss=2.867632 lr=0.085588 Epoch[074] Batch [0599]/[3760] Speed: 119.326788 samples/sec accuracy=36.044271 loss=2.872356 lr=0.085579 Epoch[074] Batch [0649]/[3760] Speed: 119.385960 samples/sec accuracy=36.076923 loss=2.872022 lr=0.085570 Epoch[074] Batch [0699]/[3760] Speed: 119.581978 samples/sec accuracy=36.020089 loss=2.872742 lr=0.085561 Epoch[074] Batch [0749]/[3760] Speed: 118.767902 samples/sec accuracy=36.097917 loss=2.869255 lr=0.085552 Epoch[074] Batch [0799]/[3760] Speed: 119.447295 samples/sec accuracy=36.072266 loss=2.869666 lr=0.085543 Epoch[074] Batch [0849]/[3760] Speed: 119.375348 samples/sec accuracy=36.101103 loss=2.868595 lr=0.085534 Epoch[074] Batch [0899]/[3760] Speed: 119.289382 samples/sec accuracy=36.130208 loss=2.866587 lr=0.085525 Epoch[074] Batch [0949]/[3760] Speed: 119.179626 samples/sec accuracy=36.097039 loss=2.868770 lr=0.085516 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Epoch[074] Batch [3349]/[3760] Speed: 119.195841 samples/sec accuracy=35.679571 loss=2.888908 lr=0.085077 Epoch[074] Batch [3399]/[3760] Speed: 119.785497 samples/sec accuracy=35.676471 loss=2.888295 lr=0.085068 Epoch[074] Batch [3449]/[3760] Speed: 119.538387 samples/sec accuracy=35.670290 loss=2.888127 lr=0.085059 Epoch[074] Batch [3499]/[3760] Speed: 120.268484 samples/sec accuracy=35.652679 loss=2.889090 lr=0.085050 Epoch[074] Batch [3549]/[3760] Speed: 119.328853 samples/sec accuracy=35.660651 loss=2.888517 lr=0.085040 Epoch[074] Batch [3599]/[3760] Speed: 119.467475 samples/sec accuracy=35.642795 loss=2.889478 lr=0.085031 Epoch[074] Batch [3649]/[3760] Speed: 119.774573 samples/sec accuracy=35.635274 loss=2.889943 lr=0.085022 Epoch[074] Batch [3699]/[3760] Speed: 118.693277 samples/sec accuracy=35.634713 loss=2.890185 lr=0.085013 Epoch[074] Batch [3749]/[3760] Speed: 122.389662 samples/sec accuracy=35.627917 loss=2.890529 lr=0.085004 Batch [0049]/[0303]: acc-top1=37.031250 acc-top5=64.312500 Batch [0099]/[0303]: acc-top1=34.187500 acc-top5=61.156250 Batch [0149]/[0303]: acc-top1=35.854167 acc-top5=62.718750 Batch [0199]/[0303]: acc-top1=38.570312 acc-top5=64.960938 Batch [0249]/[0303]: acc-top1=37.912500 acc-top5=64.575000 Batch [0299]/[0303]: acc-top1=36.968750 acc-top5=64.437500 [Epoch 074] training: accuracy=35.631233 loss=2.890600 [Epoch 074] speed: 118 samples/sec time cost: 2143.776336 [Epoch 074] validation: acc-top1=37.041048 acc-top5=64.490512 loss=2.994552 Epoch[075] Batch [0049]/[3759] Speed: 87.398259 samples/sec accuracy=36.156250 loss=2.874057 lr=0.084993 Epoch[075] Batch [0099]/[3759] Speed: 119.189391 samples/sec accuracy=36.656250 loss=2.876191 lr=0.084983 Epoch[075] Batch [0149]/[3759] Speed: 119.163304 samples/sec accuracy=36.843750 loss=2.847150 lr=0.084974 Epoch[075] Batch [0199]/[3759] Speed: 118.840442 samples/sec accuracy=36.429688 loss=2.847696 lr=0.084965 Epoch[075] Batch [0249]/[3759] Speed: 119.103089 samples/sec accuracy=36.325000 loss=2.851992 lr=0.084956 Epoch[075] Batch [0299]/[3759] Speed: 118.986841 samples/sec accuracy=36.213542 loss=2.850382 lr=0.084946 Epoch[075] Batch [0349]/[3759] Speed: 119.625825 samples/sec accuracy=36.214286 loss=2.853593 lr=0.084937 Epoch[075] Batch [0399]/[3759] Speed: 118.963751 samples/sec accuracy=36.226562 loss=2.849259 lr=0.084928 Epoch[075] Batch [0449]/[3759] Speed: 119.734916 samples/sec accuracy=36.194444 loss=2.850096 lr=0.084919 Epoch[075] Batch [0499]/[3759] Speed: 119.274048 samples/sec accuracy=36.234375 loss=2.847513 lr=0.084910 Epoch[075] Batch [0549]/[3759] Speed: 119.235303 samples/sec accuracy=36.318182 loss=2.846250 lr=0.084900 Epoch[075] Batch [0599]/[3759] Speed: 118.618487 samples/sec accuracy=36.283854 loss=2.848181 lr=0.084891 Epoch[075] Batch [0649]/[3759] Speed: 119.245370 samples/sec accuracy=36.396635 loss=2.843121 lr=0.084882 Epoch[075] Batch [0699]/[3759] Speed: 119.985218 samples/sec accuracy=36.408482 loss=2.848491 lr=0.084873 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loss=2.869093 lr=0.084697 Epoch[075] Batch [1699]/[3759] Speed: 118.757439 samples/sec accuracy=35.960478 loss=2.869541 lr=0.084687 Epoch[075] Batch [1749]/[3759] Speed: 119.681817 samples/sec accuracy=35.990179 loss=2.869369 lr=0.084678 Epoch[075] Batch [1799]/[3759] Speed: 119.105507 samples/sec accuracy=35.927083 loss=2.871680 lr=0.084669 Epoch[075] Batch [1849]/[3759] Speed: 119.241648 samples/sec accuracy=35.907095 loss=2.871900 lr=0.084659 Epoch[075] Batch [1899]/[3759] Speed: 119.989092 samples/sec accuracy=35.851151 loss=2.873378 lr=0.084650 Epoch[075] Batch [1949]/[3759] Speed: 119.743639 samples/sec accuracy=35.858974 loss=2.873262 lr=0.084641 Epoch[075] Batch [1999]/[3759] Speed: 118.762654 samples/sec accuracy=35.854687 loss=2.873826 lr=0.084632 Epoch[075] Batch [2049]/[3759] Speed: 119.861953 samples/sec accuracy=35.842226 loss=2.874034 lr=0.084622 Epoch[075] Batch [2099]/[3759] Speed: 119.713367 samples/sec accuracy=35.838542 loss=2.875426 lr=0.084613 Epoch[075] Batch 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accuracy=35.786659 loss=2.878485 lr=0.084520 Epoch[075] Batch [2649]/[3759] Speed: 118.923414 samples/sec accuracy=35.797170 loss=2.878541 lr=0.084510 Epoch[075] Batch [2699]/[3759] Speed: 119.968288 samples/sec accuracy=35.806134 loss=2.878373 lr=0.084501 Epoch[075] Batch [2749]/[3759] Speed: 118.803749 samples/sec accuracy=35.815909 loss=2.877121 lr=0.084492 Epoch[075] Batch [2799]/[3759] Speed: 119.472457 samples/sec accuracy=35.811942 loss=2.876971 lr=0.084482 Epoch[075] Batch [2849]/[3759] Speed: 118.859138 samples/sec accuracy=35.826754 loss=2.876440 lr=0.084473 Epoch[075] Batch [2899]/[3759] Speed: 119.204528 samples/sec accuracy=35.806034 loss=2.877139 lr=0.084464 Epoch[075] Batch [2949]/[3759] Speed: 119.280823 samples/sec accuracy=35.820975 loss=2.877240 lr=0.084454 Epoch[075] Batch [2999]/[3759] Speed: 120.270648 samples/sec accuracy=35.818229 loss=2.877401 lr=0.084445 Epoch[075] Batch [3049]/[3759] Speed: 119.717024 samples/sec accuracy=35.815061 loss=2.877315 lr=0.084436 Epoch[075] Batch [3099]/[3759] Speed: 119.136838 samples/sec accuracy=35.805948 loss=2.878075 lr=0.084426 Epoch[075] Batch [3149]/[3759] Speed: 119.469923 samples/sec accuracy=35.801587 loss=2.877966 lr=0.084417 Epoch[075] Batch [3199]/[3759] Speed: 119.552600 samples/sec accuracy=35.794434 loss=2.878464 lr=0.084408 Epoch[075] Batch [3249]/[3759] Speed: 119.795584 samples/sec accuracy=35.784135 loss=2.879493 lr=0.084398 Epoch[075] Batch [3299]/[3759] Speed: 119.358432 samples/sec accuracy=35.800189 loss=2.878400 lr=0.084389 Epoch[075] Batch [3349]/[3759] Speed: 119.820325 samples/sec accuracy=35.797108 loss=2.879255 lr=0.084380 Epoch[075] Batch [3399]/[3759] Speed: 119.533592 samples/sec accuracy=35.783088 loss=2.880146 lr=0.084370 Epoch[075] Batch [3449]/[3759] Speed: 120.089820 samples/sec accuracy=35.788496 loss=2.880836 lr=0.084361 Epoch[075] Batch [3499]/[3759] Speed: 119.515017 samples/sec accuracy=35.790179 loss=2.880880 lr=0.084351 Epoch[075] Batch [3549]/[3759] Speed: 119.205912 samples/sec accuracy=35.807218 loss=2.880435 lr=0.084342 Epoch[075] Batch [3599]/[3759] Speed: 118.873806 samples/sec accuracy=35.797309 loss=2.880216 lr=0.084333 Epoch[075] Batch [3649]/[3759] Speed: 118.937210 samples/sec accuracy=35.777825 loss=2.880417 lr=0.084323 Epoch[075] Batch [3699]/[3759] Speed: 119.103546 samples/sec accuracy=35.786318 loss=2.879863 lr=0.084314 Epoch[075] Batch [3749]/[3759] Speed: 123.082718 samples/sec accuracy=35.792917 loss=2.879559 lr=0.084305 Batch [0049]/[0303]: acc-top1=35.031250 acc-top5=61.093750 Batch [0099]/[0303]: acc-top1=33.390625 acc-top5=59.328125 Batch [0149]/[0303]: acc-top1=34.364583 acc-top5=60.656250 Batch [0199]/[0303]: acc-top1=37.148438 acc-top5=63.335937 Batch [0249]/[0303]: acc-top1=36.237500 acc-top5=62.875000 Batch [0299]/[0303]: acc-top1=35.442708 acc-top5=63.015625 [Epoch 075] training: accuracy=35.784949 loss=2.879565 [Epoch 075] speed: 118 samples/sec time cost: 2142.768037 [Epoch 075] validation: acc-top1=35.375413 acc-top5=62.969266 loss=3.283230 Epoch[076] Batch [0049]/[3760] Speed: 87.164303 samples/sec accuracy=36.812500 loss=2.857529 lr=0.084293 Epoch[076] Batch [0099]/[3760] Speed: 118.768300 samples/sec accuracy=36.390625 loss=2.866243 lr=0.084284 Epoch[076] Batch [0149]/[3760] Speed: 119.851876 samples/sec accuracy=36.250000 loss=2.853410 lr=0.084275 Epoch[076] Batch [0199]/[3760] Speed: 120.105328 samples/sec accuracy=35.835938 loss=2.867858 lr=0.084265 Epoch[076] Batch [0249]/[3760] Speed: 118.485808 samples/sec accuracy=36.037500 loss=2.860486 lr=0.084256 Epoch[076] Batch [0299]/[3760] Speed: 119.838923 samples/sec accuracy=36.062500 loss=2.860370 lr=0.084246 Epoch[076] Batch [0349]/[3760] Speed: 119.450294 samples/sec accuracy=36.049107 loss=2.865946 lr=0.084237 Epoch[076] Batch [0399]/[3760] Speed: 119.610978 samples/sec accuracy=36.089844 loss=2.871390 lr=0.084228 Epoch[076] Batch [0449]/[3760] Speed: 119.784383 samples/sec accuracy=36.059028 loss=2.868265 lr=0.084218 Epoch[076] Batch [0499]/[3760] Speed: 119.366831 samples/sec accuracy=36.112500 loss=2.864761 lr=0.084209 Epoch[076] Batch [0549]/[3760] Speed: 119.432268 samples/sec accuracy=36.241477 loss=2.860884 lr=0.084199 Epoch[076] Batch [0599]/[3760] Speed: 119.517234 samples/sec accuracy=36.096354 loss=2.865683 lr=0.084190 Epoch[076] Batch [0649]/[3760] Speed: 118.846187 samples/sec accuracy=36.115385 loss=2.865056 lr=0.084181 Epoch[076] Batch [0699]/[3760] Speed: 118.148005 samples/sec accuracy=36.113839 loss=2.864790 lr=0.084171 Epoch[076] Batch [0749]/[3760] Speed: 119.860845 samples/sec accuracy=36.139583 loss=2.864093 lr=0.084162 Epoch[076] Batch [0799]/[3760] Speed: 119.678508 samples/sec accuracy=36.091797 loss=2.864456 lr=0.084152 Epoch[076] Batch [0849]/[3760] Speed: 119.179455 samples/sec accuracy=36.183824 loss=2.861979 lr=0.084143 Epoch[076] Batch [0899]/[3760] Speed: 118.722378 samples/sec accuracy=36.147569 loss=2.862838 lr=0.084134 Epoch[076] Batch [0949]/[3760] 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accuracy=36.245536 loss=2.858678 lr=0.084039 Epoch[076] Batch [1449]/[3760] Speed: 119.364131 samples/sec accuracy=36.254310 loss=2.858450 lr=0.084030 Epoch[076] Batch [1499]/[3760] Speed: 119.652526 samples/sec accuracy=36.215625 loss=2.859946 lr=0.084020 Epoch[076] Batch [1549]/[3760] Speed: 119.817450 samples/sec accuracy=36.180444 loss=2.862020 lr=0.084011 Epoch[076] Batch [1599]/[3760] Speed: 119.594122 samples/sec accuracy=36.176758 loss=2.860339 lr=0.084001 Epoch[076] Batch [1649]/[3760] Speed: 118.987761 samples/sec accuracy=36.153409 loss=2.861240 lr=0.083992 Epoch[076] Batch [1699]/[3760] Speed: 118.709955 samples/sec accuracy=36.150735 loss=2.862056 lr=0.083982 Epoch[076] Batch [1749]/[3760] Speed: 119.429280 samples/sec accuracy=36.120536 loss=2.863579 lr=0.083973 Epoch[076] Batch [1799]/[3760] Speed: 118.962375 samples/sec accuracy=36.134549 loss=2.865016 lr=0.083964 Epoch[076] Batch [1849]/[3760] Speed: 118.884283 samples/sec accuracy=36.114020 loss=2.865569 lr=0.083954 Epoch[076] Batch [1899]/[3760] Speed: 118.586406 samples/sec accuracy=36.121711 loss=2.865954 lr=0.083945 Epoch[076] Batch [1949]/[3760] Speed: 119.256808 samples/sec accuracy=36.085737 loss=2.867695 lr=0.083935 Epoch[076] Batch [1999]/[3760] Speed: 118.968896 samples/sec accuracy=36.100000 loss=2.867328 lr=0.083926 Epoch[076] Batch [2049]/[3760] Speed: 119.538413 samples/sec accuracy=36.128811 loss=2.866330 lr=0.083916 Epoch[076] Batch [2099]/[3760] Speed: 119.808625 samples/sec accuracy=36.142113 loss=2.866959 lr=0.083907 Epoch[076] Batch [2149]/[3760] Speed: 118.934035 samples/sec accuracy=36.120640 loss=2.867667 lr=0.083897 Epoch[076] Batch [2199]/[3760] Speed: 119.995864 samples/sec accuracy=36.072443 loss=2.869473 lr=0.083888 Epoch[076] Batch [2249]/[3760] Speed: 119.090769 samples/sec accuracy=36.081944 loss=2.869971 lr=0.083878 Epoch[076] Batch [2299]/[3760] Speed: 118.581392 samples/sec accuracy=36.065217 loss=2.871276 lr=0.083869 Epoch[076] Batch [2349]/[3760] Speed: 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accuracy=35.831250 loss=2.879610 lr=0.083593 Batch [0049]/[0303]: acc-top1=34.781250 acc-top5=62.781250 Batch [0099]/[0303]: acc-top1=31.343750 acc-top5=59.218750 Batch [0149]/[0303]: acc-top1=33.281250 acc-top5=60.520833 Batch [0199]/[0303]: acc-top1=36.000000 acc-top5=62.960938 Batch [0249]/[0303]: acc-top1=35.550000 acc-top5=62.606250 Batch [0299]/[0303]: acc-top1=34.713542 acc-top5=62.125000 [Epoch 076] training: accuracy=35.832364 loss=2.879945 [Epoch 076] speed: 118 samples/sec time cost: 2144.852682 [Epoch 076] validation: acc-top1=34.730817 acc-top5=62.164810 loss=3.296776 Epoch[077] Batch [0049]/[3760] Speed: 87.614190 samples/sec accuracy=39.468750 loss=2.752181 lr=0.083581 Epoch[077] Batch [0099]/[3760] Speed: 119.905087 samples/sec accuracy=38.750000 loss=2.777285 lr=0.083572 Epoch[077] Batch [0149]/[3760] Speed: 119.112951 samples/sec accuracy=37.906250 loss=2.808874 lr=0.083562 Epoch[077] Batch [0199]/[3760] Speed: 119.407584 samples/sec accuracy=37.804688 loss=2.807512 lr=0.083553 Epoch[077] Batch [0249]/[3760] Speed: 119.439751 samples/sec accuracy=37.543750 loss=2.813062 lr=0.083543 Epoch[077] Batch [0299]/[3760] Speed: 119.358837 samples/sec accuracy=37.192708 loss=2.824542 lr=0.083533 Epoch[077] Batch [0349]/[3760] Speed: 118.912243 samples/sec accuracy=37.053571 loss=2.827491 lr=0.083524 Epoch[077] Batch [0399]/[3760] Speed: 119.538402 samples/sec accuracy=36.773438 loss=2.836207 lr=0.083514 Epoch[077] Batch [0449]/[3760] Speed: 118.925509 samples/sec accuracy=36.753472 loss=2.835688 lr=0.083505 Epoch[077] Batch [0499]/[3760] Speed: 118.771231 samples/sec accuracy=36.671875 loss=2.841711 lr=0.083495 Epoch[077] Batch [0549]/[3760] Speed: 118.860826 samples/sec accuracy=36.667614 loss=2.841497 lr=0.083486 Epoch[077] Batch [0599]/[3760] Speed: 117.257861 samples/sec accuracy=36.671875 loss=2.840741 lr=0.083476 Epoch[077] Batch [0649]/[3760] Speed: 119.219131 samples/sec accuracy=36.576923 loss=2.846008 lr=0.083466 Epoch[077] Batch [0699]/[3760] Speed: 120.211725 samples/sec accuracy=36.674107 loss=2.845416 lr=0.083457 Epoch[077] Batch [0749]/[3760] Speed: 118.353119 samples/sec accuracy=36.597917 loss=2.848842 lr=0.083447 Epoch[077] Batch [0799]/[3760] Speed: 118.981786 samples/sec accuracy=36.638672 loss=2.848868 lr=0.083438 Epoch[077] Batch [0849]/[3760] Speed: 119.134438 samples/sec accuracy=36.551471 loss=2.852078 lr=0.083428 Epoch[077] Batch [0899]/[3760] Speed: 119.198585 samples/sec accuracy=36.526042 loss=2.851592 lr=0.083418 Epoch[077] Batch [0949]/[3760] Speed: 119.314660 samples/sec accuracy=36.475329 loss=2.853246 lr=0.083409 Epoch[077] Batch [0999]/[3760] Speed: 119.670594 samples/sec accuracy=36.442188 loss=2.854741 lr=0.083399 Epoch[077] Batch [1049]/[3760] Speed: 120.416387 samples/sec accuracy=36.427083 loss=2.853342 lr=0.083390 Epoch[077] Batch [1099]/[3760] Speed: 119.034645 samples/sec accuracy=36.400568 loss=2.852826 lr=0.083380 Epoch[077] Batch [1149]/[3760] Speed: 119.872880 samples/sec accuracy=36.385870 loss=2.852285 lr=0.083370 Epoch[077] Batch [1199]/[3760] Speed: 119.166143 samples/sec accuracy=36.373698 loss=2.850983 lr=0.083361 Epoch[077] Batch [1249]/[3760] Speed: 119.731816 samples/sec accuracy=36.410000 loss=2.850430 lr=0.083351 Epoch[077] Batch [1299]/[3760] Speed: 119.641885 samples/sec accuracy=36.417067 loss=2.851151 lr=0.083342 Epoch[077] Batch [1349]/[3760] Speed: 118.519405 samples/sec accuracy=36.446759 loss=2.849970 lr=0.083332 Epoch[077] Batch [1399]/[3760] Speed: 119.316008 samples/sec accuracy=36.502232 loss=2.849041 lr=0.083322 Epoch[077] Batch [1449]/[3760] Speed: 120.189068 samples/sec accuracy=36.460129 loss=2.851071 lr=0.083313 Epoch[077] Batch [1499]/[3760] Speed: 119.455473 samples/sec accuracy=36.491667 loss=2.849531 lr=0.083303 Epoch[077] Batch [1549]/[3760] Speed: 120.209505 samples/sec accuracy=36.545363 loss=2.849082 lr=0.083294 Epoch[077] Batch [1599]/[3760] Speed: 119.637100 samples/sec accuracy=36.507812 loss=2.850803 lr=0.083284 Epoch[077] Batch [1649]/[3760] Speed: 119.029445 samples/sec accuracy=36.487689 loss=2.852077 lr=0.083274 Epoch[077] Batch [1699]/[3760] Speed: 119.664239 samples/sec accuracy=36.454963 loss=2.853429 lr=0.083265 Epoch[077] Batch [1749]/[3760] Speed: 119.211493 samples/sec accuracy=36.475000 loss=2.853853 lr=0.083255 Epoch[077] Batch [1799]/[3760] Speed: 119.898506 samples/sec accuracy=36.457465 loss=2.854041 lr=0.083245 Epoch[077] Batch [1849]/[3760] Speed: 119.772338 samples/sec accuracy=36.425676 loss=2.854403 lr=0.083236 Epoch[077] Batch [1899]/[3760] Speed: 119.740964 samples/sec accuracy=36.435033 loss=2.854589 lr=0.083226 Epoch[077] Batch [1949]/[3760] Speed: 119.391229 samples/sec accuracy=36.413462 loss=2.856100 lr=0.083217 Epoch[077] Batch [1999]/[3760] Speed: 118.574040 samples/sec accuracy=36.420313 loss=2.854954 lr=0.083207 Epoch[077] Batch [2049]/[3760] Speed: 119.576901 samples/sec accuracy=36.368902 loss=2.857128 lr=0.083197 Epoch[077] Batch [2099]/[3760] Speed: 119.695682 samples/sec accuracy=36.336310 loss=2.859320 lr=0.083188 Epoch[077] Batch [2149]/[3760] Speed: 119.425630 samples/sec accuracy=36.345930 loss=2.858701 lr=0.083178 Epoch[077] Batch [2199]/[3760] Speed: 119.892029 samples/sec accuracy=36.343750 loss=2.860338 lr=0.083168 Epoch[077] Batch [2249]/[3760] Speed: 119.588881 samples/sec accuracy=36.361806 loss=2.859427 lr=0.083159 Epoch[077] Batch [2299]/[3760] Speed: 119.392232 samples/sec accuracy=36.347147 loss=2.860213 lr=0.083149 Epoch[077] Batch [2349]/[3760] Speed: 118.549326 samples/sec accuracy=36.313165 loss=2.863181 lr=0.083139 Epoch[077] Batch [2399]/[3760] Speed: 119.145466 samples/sec accuracy=36.335938 loss=2.863424 lr=0.083130 Epoch[077] Batch [2449]/[3760] Speed: 119.121921 samples/sec accuracy=36.346939 loss=2.863426 lr=0.083120 Epoch[077] Batch [2499]/[3760] Speed: 119.446712 samples/sec accuracy=36.320000 loss=2.864920 lr=0.083110 Epoch[077] Batch [2549]/[3760] Speed: 118.817504 samples/sec accuracy=36.300858 loss=2.865618 lr=0.083101 Epoch[077] Batch [2599]/[3760] Speed: 119.058910 samples/sec accuracy=36.307091 loss=2.865584 lr=0.083091 Epoch[077] Batch [2649]/[3760] Speed: 119.021702 samples/sec accuracy=36.321344 loss=2.865862 lr=0.083081 Epoch[077] Batch [2699]/[3760] Speed: 119.275616 samples/sec accuracy=36.325810 loss=2.866085 lr=0.083072 Epoch[077] Batch [2749]/[3760] Speed: 118.763710 samples/sec accuracy=36.311932 loss=2.867281 lr=0.083062 Epoch[077] Batch [2799]/[3760] Speed: 119.414773 samples/sec accuracy=36.281250 loss=2.868323 lr=0.083052 Epoch[077] Batch [2849]/[3760] Speed: 119.326603 samples/sec accuracy=36.271930 loss=2.869047 lr=0.083043 Epoch[077] Batch [2899]/[3760] Speed: 119.153891 samples/sec accuracy=36.269397 loss=2.869217 lr=0.083033 Epoch[077] Batch [2949]/[3760] Speed: 120.111881 samples/sec accuracy=36.261123 loss=2.869792 lr=0.083023 Epoch[077] Batch [2999]/[3760] Speed: 119.381829 samples/sec accuracy=36.235937 loss=2.870364 lr=0.083014 Epoch[077] Batch [3049]/[3760] Speed: 119.433763 samples/sec accuracy=36.222848 loss=2.870797 lr=0.083004 Epoch[077] Batch [3099]/[3760] Speed: 119.070402 samples/sec accuracy=36.253024 loss=2.869573 lr=0.082994 Epoch[077] Batch [3149]/[3760] Speed: 118.486591 samples/sec accuracy=36.242560 loss=2.869310 lr=0.082985 Epoch[077] Batch [3199]/[3760] Speed: 119.741703 samples/sec accuracy=36.253418 loss=2.868892 lr=0.082975 Epoch[077] Batch [3249]/[3760] Speed: 119.411423 samples/sec accuracy=36.242308 loss=2.869343 lr=0.082965 Epoch[077] Batch [3299]/[3760] Speed: 118.946167 samples/sec accuracy=36.265625 loss=2.868514 lr=0.082955 Epoch[077] Batch [3349]/[3760] Speed: 119.354335 samples/sec accuracy=36.265858 loss=2.868443 lr=0.082946 Epoch[077] Batch [3399]/[3760] Speed: 118.499693 samples/sec accuracy=36.267004 loss=2.868106 lr=0.082936 Epoch[077] Batch [3449]/[3760] Speed: 118.967117 samples/sec accuracy=36.264946 loss=2.867856 lr=0.082926 Epoch[077] Batch [3499]/[3760] Speed: 118.941928 samples/sec accuracy=36.270089 loss=2.867446 lr=0.082917 Epoch[077] Batch [3549]/[3760] Speed: 119.603529 samples/sec accuracy=36.264965 loss=2.867699 lr=0.082907 Epoch[077] Batch [3599]/[3760] Speed: 119.456658 samples/sec accuracy=36.266059 loss=2.866907 lr=0.082897 Epoch[077] Batch [3649]/[3760] Speed: 118.721037 samples/sec accuracy=36.251712 loss=2.867834 lr=0.082887 Epoch[077] Batch [3699]/[3760] Speed: 118.774284 samples/sec accuracy=36.234375 loss=2.868242 lr=0.082878 Epoch[077] Batch [3749]/[3760] Speed: 123.269376 samples/sec accuracy=36.234167 loss=2.868124 lr=0.082868 Batch [0049]/[0303]: acc-top1=35.656250 acc-top5=62.406250 Batch [0099]/[0303]: acc-top1=31.875000 acc-top5=59.796875 Batch [0149]/[0303]: acc-top1=33.843750 acc-top5=61.083333 Batch [0199]/[0303]: acc-top1=36.187500 acc-top5=62.898438 Batch [0249]/[0303]: acc-top1=35.487500 acc-top5=62.575000 Batch [0299]/[0303]: acc-top1=35.255208 acc-top5=62.598958 [Epoch 077] training: accuracy=36.230469 loss=2.868195 [Epoch 077] speed: 118 samples/sec time cost: 2143.304376 [Epoch 077] validation: acc-top1=35.287748 acc-top5=62.732054 loss=3.093715 Epoch[078] Batch [0049]/[3759] Speed: 87.447925 samples/sec accuracy=35.468750 loss=2.928844 lr=0.082856 Epoch[078] Batch [0099]/[3759] Speed: 119.376154 samples/sec accuracy=36.000000 loss=2.875656 lr=0.082847 Epoch[078] Batch [0149]/[3759] Speed: 120.203683 samples/sec accuracy=36.166667 loss=2.876020 lr=0.082837 Epoch[078] Batch [0199]/[3759] Speed: 119.325671 samples/sec accuracy=36.390625 loss=2.870481 lr=0.082827 Epoch[078] Batch [0249]/[3759] Speed: 119.737507 samples/sec accuracy=36.287500 loss=2.867033 lr=0.082817 Epoch[078] Batch [0299]/[3759] Speed: 118.495065 samples/sec accuracy=36.442708 loss=2.859189 lr=0.082808 Epoch[078] Batch [0349]/[3759] Speed: 118.290287 samples/sec accuracy=36.566964 loss=2.857929 lr=0.082798 Epoch[078] Batch [0399]/[3759] Speed: 118.822015 samples/sec accuracy=36.816406 loss=2.849491 lr=0.082788 Epoch[078] Batch [0449]/[3759] Speed: 119.994133 samples/sec accuracy=36.690972 loss=2.850809 lr=0.082779 Epoch[078] Batch [0499]/[3759] Speed: 119.336949 samples/sec accuracy=36.656250 loss=2.850720 lr=0.082769 Epoch[078] Batch [0549]/[3759] Speed: 119.143004 samples/sec accuracy=36.508523 loss=2.851857 lr=0.082759 Epoch[078] Batch [0599]/[3759] Speed: 119.648170 samples/sec accuracy=36.593750 loss=2.846061 lr=0.082749 Epoch[078] Batch [0649]/[3759] Speed: 119.581406 samples/sec accuracy=36.487981 loss=2.850097 lr=0.082740 Epoch[078] Batch [0699]/[3759] Speed: 118.722033 samples/sec accuracy=36.433036 loss=2.852619 lr=0.082730 Epoch[078] Batch [0749]/[3759] Speed: 119.126857 samples/sec accuracy=36.354167 loss=2.852626 lr=0.082720 Epoch[078] Batch [0799]/[3759] Speed: 119.693710 samples/sec accuracy=36.250000 loss=2.857411 lr=0.082710 Epoch[078] Batch [0849]/[3759] Speed: 119.981773 samples/sec accuracy=36.283088 loss=2.854461 lr=0.082701 Epoch[078] Batch [0899]/[3759] Speed: 118.740719 samples/sec accuracy=36.260417 loss=2.853401 lr=0.082691 Epoch[078] Batch [0949]/[3759] Speed: 119.477060 samples/sec accuracy=36.327303 loss=2.852218 lr=0.082681 Epoch[078] Batch [0999]/[3759] Speed: 119.469331 samples/sec accuracy=36.190625 loss=2.857298 lr=0.082671 Epoch[078] Batch [1049]/[3759] Speed: 118.077465 samples/sec accuracy=36.190476 loss=2.855883 lr=0.082662 Epoch[078] Batch [1099]/[3759] Speed: 119.696604 samples/sec accuracy=36.210227 loss=2.854570 lr=0.082652 Epoch[078] Batch [1149]/[3759] Speed: 119.803866 samples/sec accuracy=36.190217 loss=2.856865 lr=0.082642 Epoch[078] Batch [1199]/[3759] Speed: 119.449213 samples/sec accuracy=36.147135 loss=2.857767 lr=0.082632 Epoch[078] Batch [1249]/[3759] Speed: 119.506127 samples/sec accuracy=36.120000 loss=2.860256 lr=0.082622 Epoch[078] Batch [1299]/[3759] Speed: 120.433063 samples/sec accuracy=36.171875 loss=2.859535 lr=0.082613 Epoch[078] Batch [1349]/[3759] Speed: 119.489443 samples/sec accuracy=36.149306 loss=2.858689 lr=0.082603 Epoch[078] Batch [1399]/[3759] Speed: 120.256193 samples/sec accuracy=36.111607 loss=2.861392 lr=0.082593 Epoch[078] Batch [1449]/[3759] Speed: 119.181860 samples/sec accuracy=36.156250 loss=2.859894 lr=0.082583 Epoch[078] Batch [1499]/[3759] Speed: 119.993224 samples/sec accuracy=36.163542 loss=2.860341 lr=0.082574 Epoch[078] Batch [1549]/[3759] Speed: 120.291059 samples/sec accuracy=36.171371 loss=2.859655 lr=0.082564 Epoch[078] Batch [1599]/[3759] Speed: 119.446871 samples/sec accuracy=36.238281 loss=2.858362 lr=0.082554 Epoch[078] Batch [1649]/[3759] Speed: 119.554083 samples/sec accuracy=36.257576 loss=2.857511 lr=0.082544 Epoch[078] Batch [1699]/[3759] Speed: 119.362217 samples/sec accuracy=36.250000 loss=2.858219 lr=0.082534 Epoch[078] Batch [1749]/[3759] Speed: 119.045522 samples/sec accuracy=36.210714 loss=2.859690 lr=0.082525 Epoch[078] Batch [1799]/[3759] Speed: 118.448872 samples/sec accuracy=36.202257 loss=2.859965 lr=0.082515 Epoch[078] Batch [1849]/[3759] Speed: 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loss=2.864648 lr=0.082417 Epoch[078] Batch [2349]/[3759] Speed: 119.352608 samples/sec accuracy=36.152261 loss=2.864820 lr=0.082407 Epoch[078] Batch [2399]/[3759] Speed: 119.046922 samples/sec accuracy=36.156901 loss=2.865268 lr=0.082397 Epoch[078] Batch [2449]/[3759] Speed: 120.114984 samples/sec accuracy=36.160077 loss=2.866515 lr=0.082387 Epoch[078] Batch [2499]/[3759] Speed: 118.311870 samples/sec accuracy=36.149375 loss=2.866977 lr=0.082377 Epoch[078] Batch [2549]/[3759] Speed: 119.007757 samples/sec accuracy=36.152574 loss=2.867257 lr=0.082368 Epoch[078] Batch [2599]/[3759] Speed: 120.103218 samples/sec accuracy=36.164062 loss=2.867079 lr=0.082358 Epoch[078] Batch [2649]/[3759] Speed: 119.540091 samples/sec accuracy=36.167453 loss=2.866123 lr=0.082348 Epoch[078] Batch [2699]/[3759] Speed: 119.000866 samples/sec accuracy=36.177083 loss=2.865988 lr=0.082338 Epoch[078] Batch [2749]/[3759] Speed: 119.072566 samples/sec accuracy=36.169886 loss=2.866564 lr=0.082328 Epoch[078] Batch 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accuracy=36.158173 loss=2.867615 lr=0.082230 Epoch[078] Batch [3299]/[3759] Speed: 118.705615 samples/sec accuracy=36.152462 loss=2.867967 lr=0.082220 Epoch[078] Batch [3349]/[3759] Speed: 119.377210 samples/sec accuracy=36.155317 loss=2.867711 lr=0.082210 Epoch[078] Batch [3399]/[3759] Speed: 119.745368 samples/sec accuracy=36.186581 loss=2.866427 lr=0.082200 Epoch[078] Batch [3449]/[3759] Speed: 119.029195 samples/sec accuracy=36.170743 loss=2.867153 lr=0.082190 Epoch[078] Batch [3499]/[3759] Speed: 118.390731 samples/sec accuracy=36.169643 loss=2.867211 lr=0.082180 Epoch[078] Batch [3549]/[3759] Speed: 119.651990 samples/sec accuracy=36.168574 loss=2.866828 lr=0.082171 Epoch[078] Batch [3599]/[3759] Speed: 119.030541 samples/sec accuracy=36.166233 loss=2.866530 lr=0.082161 Epoch[078] Batch [3649]/[3759] Speed: 119.719082 samples/sec accuracy=36.181507 loss=2.866016 lr=0.082151 Epoch[078] Batch [3699]/[3759] Speed: 119.152027 samples/sec accuracy=36.176943 loss=2.866034 lr=0.082141 Epoch[078] Batch [3749]/[3759] Speed: 122.473633 samples/sec accuracy=36.152917 loss=2.866634 lr=0.082131 Batch [0049]/[0303]: acc-top1=36.500000 acc-top5=64.125000 Batch [0099]/[0303]: acc-top1=35.031250 acc-top5=62.671875 Batch [0149]/[0303]: acc-top1=36.593750 acc-top5=64.114583 Batch [0199]/[0303]: acc-top1=39.335938 acc-top5=66.007812 Batch [0249]/[0303]: acc-top1=38.268750 acc-top5=65.393750 Batch [0299]/[0303]: acc-top1=37.661458 acc-top5=65.151042 [Epoch 078] training: accuracy=36.156973 loss=2.866486 [Epoch 078] speed: 118 samples/sec time cost: 2143.483638 [Epoch 078] validation: acc-top1=37.623762 acc-top5=65.166048 loss=2.941442 Epoch[079] Batch [0049]/[3760] Speed: 89.006692 samples/sec accuracy=36.656250 loss=2.793541 lr=0.082119 Epoch[079] Batch [0099]/[3760] Speed: 119.752898 samples/sec accuracy=36.765625 loss=2.842049 lr=0.082109 Epoch[079] Batch [0149]/[3760] Speed: 118.747410 samples/sec accuracy=36.416667 loss=2.854287 lr=0.082100 Epoch[079] Batch [0199]/[3760] 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accuracy=36.538462 loss=2.835732 lr=0.082001 Epoch[079] Batch [0699]/[3760] Speed: 120.078207 samples/sec accuracy=36.531250 loss=2.836003 lr=0.081991 Epoch[079] Batch [0749]/[3760] Speed: 119.754636 samples/sec accuracy=36.483333 loss=2.840843 lr=0.081981 Epoch[079] Batch [0799]/[3760] Speed: 119.037121 samples/sec accuracy=36.451172 loss=2.844239 lr=0.081971 Epoch[079] Batch [0849]/[3760] Speed: 119.327870 samples/sec accuracy=36.465074 loss=2.843007 lr=0.081961 Epoch[079] Batch [0899]/[3760] Speed: 120.147957 samples/sec accuracy=36.402778 loss=2.841292 lr=0.081951 Epoch[079] Batch [0949]/[3760] Speed: 119.628890 samples/sec accuracy=36.432566 loss=2.841729 lr=0.081941 Epoch[079] Batch [0999]/[3760] Speed: 119.586094 samples/sec accuracy=36.507812 loss=2.837639 lr=0.081931 Epoch[079] Batch [1049]/[3760] Speed: 119.232733 samples/sec accuracy=36.488095 loss=2.838805 lr=0.081921 Epoch[079] Batch [1099]/[3760] Speed: 118.865188 samples/sec accuracy=36.477273 loss=2.840672 lr=0.081911 Epoch[079] Batch [1149]/[3760] Speed: 119.386049 samples/sec accuracy=36.449728 loss=2.842092 lr=0.081901 Epoch[079] Batch [1199]/[3760] Speed: 119.409667 samples/sec accuracy=36.451823 loss=2.841967 lr=0.081891 Epoch[079] Batch [1249]/[3760] Speed: 119.873989 samples/sec accuracy=36.513750 loss=2.838266 lr=0.081882 Epoch[079] Batch [1299]/[3760] Speed: 120.174298 samples/sec accuracy=36.463942 loss=2.842436 lr=0.081872 Epoch[079] Batch [1349]/[3760] Speed: 119.063635 samples/sec accuracy=36.465278 loss=2.842957 lr=0.081862 Epoch[079] Batch [1399]/[3760] Speed: 119.721240 samples/sec accuracy=36.431920 loss=2.845247 lr=0.081852 Epoch[079] Batch [1449]/[3760] Speed: 119.648298 samples/sec accuracy=36.471983 loss=2.843280 lr=0.081842 Epoch[079] Batch [1499]/[3760] Speed: 119.134318 samples/sec accuracy=36.460417 loss=2.845437 lr=0.081832 Epoch[079] Batch [1549]/[3760] Speed: 118.993588 samples/sec accuracy=36.437500 loss=2.846153 lr=0.081822 Epoch[079] Batch [1599]/[3760] Speed: 119.379994 samples/sec accuracy=36.500977 loss=2.843510 lr=0.081812 Epoch[079] Batch [1649]/[3760] Speed: 118.996111 samples/sec accuracy=36.475379 loss=2.845002 lr=0.081802 Epoch[079] Batch [1699]/[3760] Speed: 118.482683 samples/sec accuracy=36.463235 loss=2.844471 lr=0.081792 Epoch[079] Batch [1749]/[3760] Speed: 118.907936 samples/sec accuracy=36.438393 loss=2.845720 lr=0.081782 Epoch[079] Batch [1799]/[3760] Speed: 119.602636 samples/sec accuracy=36.438368 loss=2.845568 lr=0.081772 Epoch[079] Batch [1849]/[3760] Speed: 118.746835 samples/sec accuracy=36.473818 loss=2.845267 lr=0.081762 Epoch[079] Batch [1899]/[3760] Speed: 119.630414 samples/sec accuracy=36.414474 loss=2.846992 lr=0.081752 Epoch[079] Batch [1949]/[3760] Speed: 119.420186 samples/sec accuracy=36.397436 loss=2.848475 lr=0.081742 Epoch[079] Batch [1999]/[3760] Speed: 119.315132 samples/sec accuracy=36.396094 loss=2.848883 lr=0.081732 Epoch[079] Batch [2049]/[3760] Speed: 119.377905 samples/sec accuracy=36.387957 loss=2.848824 lr=0.081722 Epoch[079] Batch [2099]/[3760] Speed: 119.413084 samples/sec accuracy=36.385417 loss=2.849991 lr=0.081712 Epoch[079] Batch [2149]/[3760] Speed: 120.066546 samples/sec accuracy=36.356105 loss=2.850736 lr=0.081702 Epoch[079] Batch [2199]/[3760] Speed: 119.900536 samples/sec accuracy=36.343750 loss=2.850742 lr=0.081692 Epoch[079] Batch [2249]/[3760] Speed: 118.506197 samples/sec accuracy=36.340278 loss=2.850614 lr=0.081682 Epoch[079] Batch [2299]/[3760] Speed: 119.615467 samples/sec accuracy=36.347147 loss=2.850556 lr=0.081672 Epoch[079] Batch [2349]/[3760] Speed: 118.591403 samples/sec accuracy=36.343085 loss=2.850956 lr=0.081662 Epoch[079] Batch [2399]/[3760] Speed: 118.686802 samples/sec accuracy=36.335286 loss=2.851517 lr=0.081652 Epoch[079] Batch [2449]/[3760] Speed: 118.988034 samples/sec accuracy=36.314413 loss=2.853208 lr=0.081642 Epoch[079] Batch [2499]/[3760] Speed: 119.386330 samples/sec accuracy=36.294375 loss=2.854363 lr=0.081632 Epoch[079] Batch [2549]/[3760] Speed: 118.681629 samples/sec accuracy=36.298407 loss=2.855913 lr=0.081622 Epoch[079] Batch [2599]/[3760] Speed: 119.291641 samples/sec accuracy=36.315505 loss=2.854987 lr=0.081612 Epoch[079] Batch [2649]/[3760] Speed: 118.915414 samples/sec accuracy=36.295991 loss=2.855560 lr=0.081603 Epoch[079] Batch [2699]/[3760] Speed: 118.635520 samples/sec accuracy=36.272569 loss=2.856415 lr=0.081593 Epoch[079] Batch [2749]/[3760] Speed: 119.842173 samples/sec accuracy=36.268750 loss=2.857624 lr=0.081583 Epoch[079] Batch [2799]/[3760] Speed: 119.411200 samples/sec accuracy=36.272321 loss=2.858692 lr=0.081573 Epoch[079] Batch [2849]/[3760] Speed: 119.410995 samples/sec accuracy=36.292215 loss=2.858167 lr=0.081563 Epoch[079] Batch [2899]/[3760] Speed: 118.559617 samples/sec accuracy=36.288254 loss=2.858177 lr=0.081553 Epoch[079] Batch [2949]/[3760] Speed: 118.667351 samples/sec accuracy=36.286017 loss=2.857961 lr=0.081542 Epoch[079] Batch [2999]/[3760] Speed: 118.674656 samples/sec accuracy=36.286458 loss=2.857556 lr=0.081532 Epoch[079] Batch [3049]/[3760] Speed: 118.851109 samples/sec accuracy=36.264857 loss=2.858213 lr=0.081522 Epoch[079] Batch [3099]/[3760] Speed: 119.798134 samples/sec accuracy=36.251512 loss=2.858549 lr=0.081512 Epoch[079] Batch [3149]/[3760] Speed: 119.625366 samples/sec accuracy=36.238095 loss=2.859148 lr=0.081502 Epoch[079] Batch [3199]/[3760] Speed: 119.048696 samples/sec accuracy=36.239746 loss=2.859057 lr=0.081492 Epoch[079] Batch [3249]/[3760] Speed: 118.898603 samples/sec accuracy=36.255288 loss=2.858590 lr=0.081482 Epoch[079] Batch [3299]/[3760] Speed: 120.460743 samples/sec accuracy=36.251420 loss=2.859564 lr=0.081472 Epoch[079] Batch [3349]/[3760] Speed: 119.684549 samples/sec accuracy=36.267257 loss=2.859143 lr=0.081462 Epoch[079] Batch [3399]/[3760] Speed: 119.701284 samples/sec accuracy=36.275276 loss=2.859099 lr=0.081452 Epoch[079] Batch [3449]/[3760] Speed: 119.478087 samples/sec accuracy=36.261775 loss=2.859916 lr=0.081442 Epoch[079] Batch [3499]/[3760] Speed: 119.738799 samples/sec accuracy=36.253571 loss=2.860210 lr=0.081432 Epoch[079] Batch [3549]/[3760] Speed: 119.333178 samples/sec accuracy=36.247359 loss=2.860435 lr=0.081422 Epoch[079] Batch [3599]/[3760] Speed: 119.125440 samples/sec accuracy=36.240017 loss=2.860948 lr=0.081412 Epoch[079] Batch [3649]/[3760] Speed: 119.446558 samples/sec accuracy=36.236301 loss=2.860145 lr=0.081402 Epoch[079] Batch [3699]/[3760] Speed: 119.096674 samples/sec accuracy=36.242399 loss=2.859816 lr=0.081392 Epoch[079] Batch [3749]/[3760] Speed: 123.460406 samples/sec accuracy=36.242500 loss=2.860256 lr=0.081382 Batch [0049]/[0303]: acc-top1=37.718750 acc-top5=64.625000 Batch [0099]/[0303]: acc-top1=34.625000 acc-top5=61.359375 Batch [0149]/[0303]: acc-top1=35.135417 acc-top5=61.510417 Batch [0199]/[0303]: acc-top1=37.898438 acc-top5=64.156250 Batch [0249]/[0303]: acc-top1=36.868750 acc-top5=63.662500 Batch [0299]/[0303]: acc-top1=35.901042 acc-top5=63.552083 [Epoch 079] training: accuracy=36.247922 loss=2.860002 [Epoch 079] speed: 118 samples/sec time cost: 2141.211308 [Epoch 079] validation: acc-top1=35.870462 acc-top5=63.490099 loss=3.094988 Epoch[080] Batch [0049]/[3760] Speed: 88.068222 samples/sec accuracy=37.062500 loss=2.769949 lr=0.081370 Epoch[080] Batch [0099]/[3760] Speed: 120.120731 samples/sec accuracy=37.203125 loss=2.792635 lr=0.081360 Epoch[080] Batch [0149]/[3760] Speed: 119.267997 samples/sec accuracy=37.218750 loss=2.792888 lr=0.081350 Epoch[080] Batch [0199]/[3760] Speed: 119.200232 samples/sec accuracy=37.289062 loss=2.780370 lr=0.081340 Epoch[080] Batch [0249]/[3760] Speed: 119.922428 samples/sec accuracy=37.362500 loss=2.787388 lr=0.081330 Epoch[080] Batch [0299]/[3760] Speed: 118.746137 samples/sec accuracy=37.166667 loss=2.796929 lr=0.081320 Epoch[080] Batch [0349]/[3760] Speed: 120.050497 samples/sec accuracy=37.044643 loss=2.805767 lr=0.081310 Epoch[080] Batch [0399]/[3760] Speed: 118.714646 samples/sec accuracy=36.796875 loss=2.816376 lr=0.081300 Epoch[080] Batch [0449]/[3760] Speed: 119.215937 samples/sec accuracy=36.819444 loss=2.813517 lr=0.081290 Epoch[080] Batch [0499]/[3760] Speed: 119.454740 samples/sec accuracy=36.903125 loss=2.812242 lr=0.081280 Epoch[080] Batch [0549]/[3760] Speed: 119.199653 samples/sec accuracy=36.761364 loss=2.817497 lr=0.081270 Epoch[080] Batch [0599]/[3760] Speed: 119.425220 samples/sec accuracy=36.729167 loss=2.818545 lr=0.081259 Epoch[080] Batch [0649]/[3760] Speed: 119.661073 samples/sec accuracy=36.774038 loss=2.819282 lr=0.081249 Epoch[080] Batch [0699]/[3760] Speed: 118.665584 samples/sec accuracy=36.848214 loss=2.817168 lr=0.081239 Epoch[080] Batch [0749]/[3760] Speed: 119.001738 samples/sec accuracy=36.835417 loss=2.813930 lr=0.081229 Epoch[080] Batch [0799]/[3760] Speed: 119.792999 samples/sec accuracy=36.771484 loss=2.815965 lr=0.081219 Epoch[080] Batch [0849]/[3760] Speed: 119.099952 samples/sec accuracy=36.795956 loss=2.816258 lr=0.081209 Epoch[080] Batch [0899]/[3760] Speed: 118.983626 samples/sec accuracy=36.826389 loss=2.817874 lr=0.081199 Epoch[080] Batch [0949]/[3760] Speed: 119.109759 samples/sec accuracy=36.868421 loss=2.816927 lr=0.081189 Epoch[080] Batch [0999]/[3760] Speed: 118.843506 samples/sec accuracy=36.879688 loss=2.815183 lr=0.081179 Epoch[080] Batch [1049]/[3760] Speed: 119.772016 samples/sec accuracy=36.821429 loss=2.816908 lr=0.081169 Epoch[080] Batch [1099]/[3760] Speed: 119.416708 samples/sec accuracy=36.788352 loss=2.819174 lr=0.081159 Epoch[080] Batch [1149]/[3760] Speed: 118.912660 samples/sec accuracy=36.839674 loss=2.817615 lr=0.081149 Epoch[080] Batch [1199]/[3760] Speed: 119.274694 samples/sec accuracy=36.773438 loss=2.820402 lr=0.081139 Epoch[080] Batch [1249]/[3760] Speed: 119.881297 samples/sec accuracy=36.816250 loss=2.817675 lr=0.081128 Epoch[080] Batch [1299]/[3760] Speed: 119.242035 samples/sec accuracy=36.847356 loss=2.814318 lr=0.081118 Epoch[080] Batch [1349]/[3760] Speed: 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accuracy=36.661364 loss=2.838450 lr=0.080825 Epoch[080] Batch [2799]/[3760] Speed: 120.144526 samples/sec accuracy=36.663504 loss=2.838398 lr=0.080815 Epoch[080] Batch [2849]/[3760] Speed: 119.113722 samples/sec accuracy=36.647478 loss=2.838246 lr=0.080804 Epoch[080] Batch [2899]/[3760] Speed: 119.361760 samples/sec accuracy=36.626078 loss=2.838617 lr=0.080794 Epoch[080] Batch [2949]/[3760] Speed: 118.145829 samples/sec accuracy=36.613877 loss=2.838875 lr=0.080784 Epoch[080] Batch [2999]/[3760] Speed: 119.033624 samples/sec accuracy=36.631771 loss=2.838370 lr=0.080774 Epoch[080] Batch [3049]/[3760] Speed: 118.798517 samples/sec accuracy=36.660861 loss=2.838417 lr=0.080764 Epoch[080] Batch [3099]/[3760] Speed: 119.220868 samples/sec accuracy=36.646673 loss=2.839059 lr=0.080754 Epoch[080] Batch [3149]/[3760] Speed: 118.997808 samples/sec accuracy=36.642361 loss=2.839546 lr=0.080743 Epoch[080] Batch [3199]/[3760] Speed: 119.169371 samples/sec accuracy=36.642090 loss=2.840354 lr=0.080733 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119.119158 samples/sec accuracy=36.614865 loss=2.843976 lr=0.080631 Epoch[080] Batch [3749]/[3760] Speed: 123.020481 samples/sec accuracy=36.605000 loss=2.844166 lr=0.080621 Batch [0049]/[0303]: acc-top1=37.250000 acc-top5=62.406250 Batch [0099]/[0303]: acc-top1=32.859375 acc-top5=59.343750 Batch [0149]/[0303]: acc-top1=33.406250 acc-top5=59.927083 Batch [0199]/[0303]: acc-top1=36.304688 acc-top5=62.492187 Batch [0249]/[0303]: acc-top1=35.750000 acc-top5=62.743750 Batch [0299]/[0303]: acc-top1=35.192708 acc-top5=62.687500 [Epoch 080] training: accuracy=36.598654 loss=2.844557 [Epoch 080] speed: 118 samples/sec time cost: 2142.166988 [Epoch 080] validation: acc-top1=35.287748 acc-top5=62.773309 loss=3.189831 Epoch[081] Batch [0049]/[3759] Speed: 88.799083 samples/sec accuracy=38.531250 loss=2.774683 lr=0.080609 Epoch[081] Batch [0099]/[3759] Speed: 119.803810 samples/sec accuracy=37.953125 loss=2.791389 lr=0.080599 Epoch[081] Batch [0149]/[3759] Speed: 119.951569 samples/sec accuracy=37.489583 loss=2.818488 lr=0.080589 Epoch[081] Batch [0199]/[3759] Speed: 118.504950 samples/sec accuracy=37.312500 loss=2.824775 lr=0.080578 Epoch[081] Batch [0249]/[3759] Speed: 119.634806 samples/sec accuracy=37.325000 loss=2.816147 lr=0.080568 Epoch[081] Batch [0299]/[3759] Speed: 119.669325 samples/sec accuracy=37.083333 loss=2.820209 lr=0.080558 Epoch[081] Batch [0349]/[3759] Speed: 118.255364 samples/sec accuracy=37.044643 loss=2.826159 lr=0.080548 Epoch[081] Batch [0399]/[3759] Speed: 120.192088 samples/sec accuracy=37.031250 loss=2.825352 lr=0.080538 Epoch[081] Batch [0449]/[3759] Speed: 118.589851 samples/sec accuracy=37.065972 loss=2.824526 lr=0.080527 Epoch[081] Batch [0499]/[3759] Speed: 119.205687 samples/sec accuracy=37.000000 loss=2.823126 lr=0.080517 Epoch[081] Batch [0549]/[3759] Speed: 119.509826 samples/sec accuracy=36.886364 loss=2.830046 lr=0.080507 Epoch[081] Batch [0599]/[3759] Speed: 120.101708 samples/sec accuracy=36.736979 loss=2.835456 lr=0.080497 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accuracy=36.695000 loss=2.833419 lr=0.080107 Epoch[081] Batch [2549]/[3759] Speed: 118.927409 samples/sec accuracy=36.687500 loss=2.834348 lr=0.080097 Epoch[081] Batch [2599]/[3759] Speed: 119.242338 samples/sec accuracy=36.682692 loss=2.834340 lr=0.080086 Epoch[081] Batch [2649]/[3759] Speed: 119.228761 samples/sec accuracy=36.655660 loss=2.835665 lr=0.080076 Epoch[081] Batch [2699]/[3759] Speed: 119.892117 samples/sec accuracy=36.631366 loss=2.836798 lr=0.080066 Epoch[081] Batch [2749]/[3759] Speed: 118.849821 samples/sec accuracy=36.663068 loss=2.836676 lr=0.080055 Epoch[081] Batch [2799]/[3759] Speed: 119.840876 samples/sec accuracy=36.644531 loss=2.837692 lr=0.080045 Epoch[081] Batch [2849]/[3759] Speed: 119.759268 samples/sec accuracy=36.647478 loss=2.838086 lr=0.080035 Epoch[081] Batch [2899]/[3759] Speed: 119.382842 samples/sec accuracy=36.651940 loss=2.837668 lr=0.080024 Epoch[081] Batch [2949]/[3759] Speed: 119.612331 samples/sec accuracy=36.647775 loss=2.838117 lr=0.080014 Epoch[081] Batch [2999]/[3759] Speed: 118.753710 samples/sec accuracy=36.641146 loss=2.838157 lr=0.080004 Epoch[081] Batch [3049]/[3759] Speed: 119.880727 samples/sec accuracy=36.620389 loss=2.838032 lr=0.079993 Epoch[081] Batch [3099]/[3759] Speed: 119.691489 samples/sec accuracy=36.608367 loss=2.838815 lr=0.079983 Epoch[081] Batch [3149]/[3759] Speed: 120.296044 samples/sec accuracy=36.602679 loss=2.838949 lr=0.079973 Epoch[081] Batch [3199]/[3759] Speed: 119.460419 samples/sec accuracy=36.578125 loss=2.839514 lr=0.079962 Epoch[081] Batch [3249]/[3759] Speed: 119.320689 samples/sec accuracy=36.566827 loss=2.840178 lr=0.079952 Epoch[081] Batch [3299]/[3759] Speed: 119.535277 samples/sec accuracy=36.556818 loss=2.839882 lr=0.079942 Epoch[081] Batch [3349]/[3759] Speed: 119.319700 samples/sec accuracy=36.561101 loss=2.839669 lr=0.079931 Epoch[081] Batch [3399]/[3759] Speed: 119.233028 samples/sec accuracy=36.558364 loss=2.839677 lr=0.079921 Epoch[081] Batch [3449]/[3759] Speed: 118.864993 samples/sec accuracy=36.548007 loss=2.840546 lr=0.079911 Epoch[081] Batch [3499]/[3759] Speed: 119.040068 samples/sec accuracy=36.520982 loss=2.840897 lr=0.079900 Epoch[081] Batch [3549]/[3759] Speed: 119.179437 samples/sec accuracy=36.543574 loss=2.840300 lr=0.079890 Epoch[081] Batch [3599]/[3759] Speed: 119.363750 samples/sec accuracy=36.544705 loss=2.840596 lr=0.079880 Epoch[081] Batch [3649]/[3759] Speed: 119.829678 samples/sec accuracy=36.532534 loss=2.841440 lr=0.079869 Epoch[081] Batch [3699]/[3759] Speed: 119.612817 samples/sec accuracy=36.538007 loss=2.841218 lr=0.079859 Epoch[081] Batch [3749]/[3759] Speed: 123.819545 samples/sec accuracy=36.530000 loss=2.841880 lr=0.079849 Batch [0049]/[0303]: acc-top1=35.468750 acc-top5=62.656250 Batch [0099]/[0303]: acc-top1=33.734375 acc-top5=60.812500 Batch [0149]/[0303]: acc-top1=34.750000 acc-top5=61.739583 Batch [0199]/[0303]: acc-top1=36.882812 acc-top5=64.257812 Batch [0249]/[0303]: acc-top1=36.175000 acc-top5=63.618750 Batch [0299]/[0303]: acc-top1=35.427083 acc-top5=63.291667 [Epoch 081] training: accuracy=36.527750 loss=2.842274 [Epoch 081] speed: 118 samples/sec time cost: 2140.781675 [Epoch 081] validation: acc-top1=35.390883 acc-top5=63.263201 loss=3.147131 Epoch[082] Batch [0049]/[3760] Speed: 88.539042 samples/sec accuracy=36.968750 loss=2.838832 lr=0.079837 Epoch[082] Batch [0099]/[3760] Speed: 119.824316 samples/sec accuracy=37.359375 loss=2.826403 lr=0.079826 Epoch[082] Batch [0149]/[3760] Speed: 119.502029 samples/sec accuracy=37.864583 loss=2.801965 lr=0.079816 Epoch[082] Batch [0199]/[3760] Speed: 119.456487 samples/sec accuracy=37.648438 loss=2.800713 lr=0.079805 Epoch[082] Batch [0249]/[3760] Speed: 120.340803 samples/sec accuracy=37.556250 loss=2.801267 lr=0.079795 Epoch[082] Batch [0299]/[3760] Speed: 119.139849 samples/sec accuracy=37.682292 loss=2.793363 lr=0.079785 Epoch[082] Batch [0349]/[3760] Speed: 119.859661 samples/sec accuracy=37.517857 loss=2.804477 lr=0.079774 Epoch[082] 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loss=2.839304 lr=0.079086 Epoch[082] Batch [3699]/[3760] Speed: 119.786158 samples/sec accuracy=36.722128 loss=2.839998 lr=0.079076 Epoch[082] Batch [3749]/[3760] Speed: 122.787941 samples/sec accuracy=36.740833 loss=2.839463 lr=0.079065 Batch [0049]/[0303]: acc-top1=39.781250 acc-top5=66.062500 Batch [0099]/[0303]: acc-top1=35.609375 acc-top5=61.718750 Batch [0149]/[0303]: acc-top1=37.041667 acc-top5=63.375000 Batch [0199]/[0303]: acc-top1=39.921875 acc-top5=65.695312 Batch [0249]/[0303]: acc-top1=38.950000 acc-top5=65.050000 Batch [0299]/[0303]: acc-top1=38.177083 acc-top5=64.848958 [Epoch 082] training: accuracy=36.730386 loss=2.839738 [Epoch 082] speed: 118 samples/sec time cost: 2143.307204 [Epoch 082] validation: acc-top1=38.185850 acc-top5=64.877269 loss=3.047130 Epoch[083] Batch [0049]/[3760] Speed: 87.552167 samples/sec accuracy=38.218750 loss=2.766379 lr=0.079053 Epoch[083] Batch [0099]/[3760] Speed: 119.893575 samples/sec accuracy=37.484375 loss=2.808636 lr=0.079042 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accuracy=37.040625 loss=2.815483 lr=0.078642 Epoch[083] Batch [2049]/[3760] Speed: 119.137454 samples/sec accuracy=37.048780 loss=2.815225 lr=0.078631 Epoch[083] Batch [2099]/[3760] Speed: 119.025658 samples/sec accuracy=37.027530 loss=2.816879 lr=0.078621 Epoch[083] Batch [2149]/[3760] Speed: 119.514383 samples/sec accuracy=37.008721 loss=2.817584 lr=0.078610 Epoch[083] Batch [2199]/[3760] Speed: 119.372759 samples/sec accuracy=36.985085 loss=2.818450 lr=0.078600 Epoch[083] Batch [2249]/[3760] Speed: 119.506180 samples/sec accuracy=36.979167 loss=2.817784 lr=0.078589 Epoch[083] Batch [2299]/[3760] Speed: 119.076401 samples/sec accuracy=36.942935 loss=2.818474 lr=0.078578 Epoch[083] Batch [2349]/[3760] Speed: 119.253359 samples/sec accuracy=36.952793 loss=2.818397 lr=0.078568 Epoch[083] Batch [2399]/[3760] Speed: 118.672631 samples/sec accuracy=36.954427 loss=2.819068 lr=0.078557 Epoch[083] Batch [2449]/[3760] Speed: 119.463270 samples/sec accuracy=36.940689 loss=2.819265 lr=0.078547 Epoch[083] Batch [2499]/[3760] Speed: 119.025425 samples/sec accuracy=36.938125 loss=2.820193 lr=0.078536 Epoch[083] Batch [2549]/[3760] Speed: 119.209843 samples/sec accuracy=36.916667 loss=2.819718 lr=0.078525 Epoch[083] Batch [2599]/[3760] Speed: 118.645946 samples/sec accuracy=36.916466 loss=2.820230 lr=0.078515 Epoch[083] Batch [2649]/[3760] Speed: 119.199168 samples/sec accuracy=36.923349 loss=2.820102 lr=0.078504 Epoch[083] Batch [2699]/[3760] Speed: 118.938425 samples/sec accuracy=36.914931 loss=2.820070 lr=0.078494 Epoch[083] Batch [2749]/[3760] Speed: 119.418418 samples/sec accuracy=36.908523 loss=2.820374 lr=0.078483 Epoch[083] Batch [2799]/[3760] Speed: 120.181581 samples/sec accuracy=36.907366 loss=2.820645 lr=0.078472 Epoch[083] Batch [2849]/[3760] Speed: 120.168082 samples/sec accuracy=36.881579 loss=2.821612 lr=0.078462 Epoch[083] Batch [2899]/[3760] Speed: 119.790016 samples/sec accuracy=36.859375 loss=2.822788 lr=0.078451 Epoch[083] Batch [2949]/[3760] Speed: 119.136719 samples/sec accuracy=36.855403 loss=2.822920 lr=0.078441 Epoch[083] Batch [2999]/[3760] Speed: 119.276897 samples/sec accuracy=36.829688 loss=2.824071 lr=0.078430 Epoch[083] Batch [3049]/[3760] Speed: 119.221409 samples/sec accuracy=36.806865 loss=2.825591 lr=0.078419 Epoch[083] Batch [3099]/[3760] Speed: 119.949337 samples/sec accuracy=36.821573 loss=2.825378 lr=0.078409 Epoch[083] Batch [3149]/[3760] Speed: 119.050249 samples/sec accuracy=36.839782 loss=2.824953 lr=0.078398 Epoch[083] Batch [3199]/[3760] Speed: 120.000679 samples/sec accuracy=36.834961 loss=2.825500 lr=0.078388 Epoch[083] Batch [3249]/[3760] Speed: 119.217488 samples/sec accuracy=36.820192 loss=2.825977 lr=0.078377 Epoch[083] Batch [3299]/[3760] Speed: 120.218630 samples/sec accuracy=36.827652 loss=2.825775 lr=0.078366 Epoch[083] Batch [3349]/[3760] Speed: 119.740872 samples/sec accuracy=36.846082 loss=2.824744 lr=0.078356 Epoch[083] Batch [3399]/[3760] Speed: 119.624135 samples/sec accuracy=36.869026 loss=2.823912 lr=0.078345 Epoch[083] Batch [3449]/[3760] Speed: 118.444163 samples/sec accuracy=36.859149 loss=2.824397 lr=0.078334 Epoch[083] Batch [3499]/[3760] Speed: 118.516122 samples/sec accuracy=36.867411 loss=2.824572 lr=0.078324 Epoch[083] Batch [3549]/[3760] Speed: 120.171002 samples/sec accuracy=36.848592 loss=2.825824 lr=0.078313 Epoch[083] Batch [3599]/[3760] Speed: 119.738133 samples/sec accuracy=36.846354 loss=2.825704 lr=0.078303 Epoch[083] Batch [3649]/[3760] Speed: 119.791873 samples/sec accuracy=36.829195 loss=2.826495 lr=0.078292 Epoch[083] Batch [3699]/[3760] Speed: 119.641708 samples/sec accuracy=36.795608 loss=2.827780 lr=0.078281 Epoch[083] Batch [3749]/[3760] Speed: 122.943874 samples/sec accuracy=36.778333 loss=2.828307 lr=0.078271 Batch [0049]/[0303]: acc-top1=36.187500 acc-top5=61.937500 Batch [0099]/[0303]: acc-top1=32.968750 acc-top5=59.765625 Batch [0149]/[0303]: acc-top1=34.208333 acc-top5=60.531250 Batch [0199]/[0303]: acc-top1=37.054688 acc-top5=63.039062 Batch [0249]/[0303]: acc-top1=35.918750 acc-top5=62.468750 Batch [0299]/[0303]: acc-top1=35.494792 acc-top5=62.614583 [Epoch 083] training: accuracy=36.773604 loss=2.828495 [Epoch 083] speed: 118 samples/sec time cost: 2144.442555 [Epoch 083] validation: acc-top1=35.452764 acc-top5=62.613449 loss=3.234027 Epoch[084] Batch [0049]/[3759] Speed: 86.967346 samples/sec accuracy=39.031250 loss=2.689236 lr=0.078258 Epoch[084] Batch [0099]/[3759] Speed: 119.085324 samples/sec accuracy=38.828125 loss=2.749246 lr=0.078247 Epoch[084] Batch [0149]/[3759] Speed: 119.751525 samples/sec accuracy=38.760417 loss=2.737152 lr=0.078237 Epoch[084] Batch [0199]/[3759] Speed: 119.240200 samples/sec accuracy=38.437500 loss=2.755563 lr=0.078226 Epoch[084] Batch [0249]/[3759] Speed: 120.005365 samples/sec accuracy=38.262500 loss=2.758913 lr=0.078215 Epoch[084] Batch [0299]/[3759] Speed: 119.322311 samples/sec accuracy=38.166667 loss=2.761729 lr=0.078205 Epoch[084] Batch [0349]/[3759] Speed: 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accuracy=37.330208 loss=2.790475 lr=0.077139 Epoch[085] Batch [1549]/[3760] Speed: 119.633443 samples/sec accuracy=37.283266 loss=2.793659 lr=0.077129 Epoch[085] Batch [1599]/[3760] Speed: 118.572822 samples/sec accuracy=37.310547 loss=2.793772 lr=0.077118 Epoch[085] Batch [1649]/[3760] Speed: 119.570013 samples/sec accuracy=37.285038 loss=2.796628 lr=0.077107 Epoch[085] Batch [1699]/[3760] Speed: 118.962218 samples/sec accuracy=37.285846 loss=2.797272 lr=0.077096 Epoch[085] Batch [1749]/[3760] Speed: 119.214969 samples/sec accuracy=37.250000 loss=2.798866 lr=0.077085 Epoch[085] Batch [1799]/[3760] Speed: 119.679913 samples/sec accuracy=37.236979 loss=2.799392 lr=0.077074 Epoch[085] Batch [1849]/[3760] Speed: 118.877128 samples/sec accuracy=37.227196 loss=2.800111 lr=0.077064 Epoch[085] Batch [1899]/[3760] Speed: 119.146148 samples/sec accuracy=37.195724 loss=2.801177 lr=0.077053 Epoch[085] Batch [1949]/[3760] Speed: 119.043756 samples/sec accuracy=37.205929 loss=2.801306 lr=0.077042 Epoch[085] Batch [1999]/[3760] Speed: 118.305544 samples/sec accuracy=37.177344 loss=2.802189 lr=0.077031 Epoch[085] Batch [2049]/[3760] Speed: 119.637819 samples/sec accuracy=37.215701 loss=2.801119 lr=0.077020 Epoch[085] Batch [2099]/[3760] Speed: 119.763865 samples/sec accuracy=37.197173 loss=2.802276 lr=0.077009 Epoch[085] Batch [2149]/[3760] Speed: 119.230970 samples/sec accuracy=37.196221 loss=2.802278 lr=0.076998 Epoch[085] Batch [2199]/[3760] Speed: 119.695402 samples/sec accuracy=37.215199 loss=2.803425 lr=0.076988 Epoch[085] Batch [2249]/[3760] Speed: 118.751674 samples/sec accuracy=37.210417 loss=2.803466 lr=0.076977 Epoch[085] Batch [2299]/[3760] Speed: 119.386216 samples/sec accuracy=37.195652 loss=2.804271 lr=0.076966 Epoch[085] Batch [2349]/[3760] Speed: 119.474394 samples/sec accuracy=37.188165 loss=2.804296 lr=0.076955 Epoch[085] Batch [2399]/[3760] Speed: 119.866556 samples/sec accuracy=37.211589 loss=2.803034 lr=0.076944 Epoch[085] Batch [2449]/[3760] Speed: 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loss=2.810513 lr=0.076835 Epoch[085] Batch [2949]/[3760] Speed: 119.114679 samples/sec accuracy=37.085805 loss=2.811089 lr=0.076824 Epoch[085] Batch [2999]/[3760] Speed: 119.587046 samples/sec accuracy=37.079688 loss=2.811575 lr=0.076814 Epoch[085] Batch [3049]/[3760] Speed: 119.804343 samples/sec accuracy=37.070184 loss=2.811703 lr=0.076803 Epoch[085] Batch [3099]/[3760] Speed: 118.999219 samples/sec accuracy=37.063508 loss=2.811215 lr=0.076792 Epoch[085] Batch [3149]/[3760] Speed: 119.244413 samples/sec accuracy=37.079861 loss=2.811187 lr=0.076781 Epoch[085] Batch [3199]/[3760] Speed: 118.518628 samples/sec accuracy=37.052734 loss=2.812794 lr=0.076770 Epoch[085] Batch [3249]/[3760] Speed: 118.978830 samples/sec accuracy=37.030288 loss=2.813820 lr=0.076759 Epoch[085] Batch [3299]/[3760] Speed: 118.803916 samples/sec accuracy=37.035511 loss=2.814011 lr=0.076748 Epoch[085] Batch [3349]/[3760] Speed: 119.725488 samples/sec accuracy=37.037780 loss=2.814255 lr=0.076737 Epoch[085] Batch [3399]/[3760] Speed: 119.726629 samples/sec accuracy=37.032169 loss=2.814340 lr=0.076726 Epoch[085] Batch [3449]/[3760] Speed: 119.586176 samples/sec accuracy=37.022645 loss=2.815076 lr=0.076716 Epoch[085] Batch [3499]/[3760] Speed: 119.336698 samples/sec accuracy=37.014732 loss=2.815378 lr=0.076705 Epoch[085] Batch [3549]/[3760] Speed: 119.177493 samples/sec accuracy=37.026849 loss=2.814408 lr=0.076694 Epoch[085] Batch [3599]/[3760] Speed: 119.982436 samples/sec accuracy=37.004340 loss=2.815589 lr=0.076683 Epoch[085] Batch [3649]/[3760] Speed: 120.019176 samples/sec accuracy=37.013271 loss=2.815223 lr=0.076672 Epoch[085] Batch [3699]/[3760] Speed: 119.687389 samples/sec accuracy=37.032939 loss=2.814661 lr=0.076661 Epoch[085] Batch [3749]/[3760] Speed: 123.448199 samples/sec accuracy=37.032500 loss=2.815249 lr=0.076650 Batch [0049]/[0303]: acc-top1=37.156250 acc-top5=64.406250 Batch [0099]/[0303]: acc-top1=33.734375 acc-top5=60.937500 Batch [0149]/[0303]: acc-top1=36.302083 acc-top5=62.885417 Batch [0199]/[0303]: acc-top1=39.046875 acc-top5=65.312500 Batch [0249]/[0303]: acc-top1=38.906250 acc-top5=65.593750 Batch [0299]/[0303]: acc-top1=38.020833 acc-top5=65.458333 [Epoch 085] training: accuracy=37.032497 loss=2.815399 [Epoch 085] speed: 118 samples/sec time cost: 2142.882865 [Epoch 085] validation: acc-top1=37.995050 acc-top5=65.449670 loss=2.968388 Epoch[086] Batch [0049]/[3760] Speed: 87.167342 samples/sec accuracy=37.468750 loss=2.734239 lr=0.076637 Epoch[086] Batch [0099]/[3760] Speed: 119.071957 samples/sec accuracy=38.093750 loss=2.723079 lr=0.076626 Epoch[086] Batch [0149]/[3760] Speed: 119.495573 samples/sec accuracy=38.364583 loss=2.713677 lr=0.076615 Epoch[086] Batch [0199]/[3760] Speed: 119.649113 samples/sec accuracy=38.250000 loss=2.725091 lr=0.076604 Epoch[086] Batch [0249]/[3760] Speed: 120.081148 samples/sec accuracy=38.262500 loss=2.733501 lr=0.076593 Epoch[086] Batch [0299]/[3760] Speed: 119.221211 samples/sec accuracy=38.145833 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accuracy=37.497500 loss=2.789566 lr=0.076375 Epoch[086] Batch [1299]/[3760] Speed: 119.636215 samples/sec accuracy=37.487981 loss=2.790908 lr=0.076364 Epoch[086] Batch [1349]/[3760] Speed: 118.895327 samples/sec accuracy=37.467593 loss=2.792438 lr=0.076353 Epoch[086] Batch [1399]/[3760] Speed: 119.224556 samples/sec accuracy=37.524554 loss=2.789216 lr=0.076342 Epoch[086] Batch [1449]/[3760] Speed: 119.213034 samples/sec accuracy=37.507543 loss=2.788219 lr=0.076331 Epoch[086] Batch [1499]/[3760] Speed: 119.736860 samples/sec accuracy=37.516667 loss=2.789544 lr=0.076320 Epoch[086] Batch [1549]/[3760] Speed: 119.390235 samples/sec accuracy=37.501008 loss=2.789485 lr=0.076309 Epoch[086] Batch [1599]/[3760] Speed: 119.312765 samples/sec accuracy=37.483398 loss=2.789781 lr=0.076298 Epoch[086] Batch [1649]/[3760] Speed: 119.979878 samples/sec accuracy=37.488636 loss=2.789463 lr=0.076287 Epoch[086] Batch [1699]/[3760] Speed: 118.802331 samples/sec accuracy=37.500000 loss=2.789468 lr=0.076276 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loss=2.797456 lr=0.076067 Epoch[086] Batch [2699]/[3760] Speed: 119.496528 samples/sec accuracy=37.439236 loss=2.797687 lr=0.076056 Epoch[086] Batch [2749]/[3760] Speed: 119.130064 samples/sec accuracy=37.438068 loss=2.797968 lr=0.076045 Epoch[086] Batch [2799]/[3760] Speed: 119.015013 samples/sec accuracy=37.436384 loss=2.797676 lr=0.076034 Epoch[086] Batch [2849]/[3760] Speed: 118.659833 samples/sec accuracy=37.418860 loss=2.798027 lr=0.076023 Epoch[086] Batch [2899]/[3760] Speed: 118.832027 samples/sec accuracy=37.412177 loss=2.798530 lr=0.076012 Epoch[086] Batch [2949]/[3760] Speed: 119.459026 samples/sec accuracy=37.424788 loss=2.797847 lr=0.076001 Epoch[086] Batch [2999]/[3760] Speed: 120.216271 samples/sec accuracy=37.409896 loss=2.798006 lr=0.075990 Epoch[086] Batch [3049]/[3760] Speed: 119.620686 samples/sec accuracy=37.366803 loss=2.799199 lr=0.075979 Epoch[086] Batch [3099]/[3760] Speed: 119.269856 samples/sec accuracy=37.362903 loss=2.799798 lr=0.075968 Epoch[086] Batch 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accuracy=37.295139 loss=2.805070 lr=0.075858 Epoch[086] Batch [3649]/[3760] Speed: 118.382454 samples/sec accuracy=37.299229 loss=2.804882 lr=0.075847 Epoch[086] Batch [3699]/[3760] Speed: 119.834682 samples/sec accuracy=37.294341 loss=2.805240 lr=0.075836 Epoch[086] Batch [3749]/[3760] Speed: 123.266447 samples/sec accuracy=37.305417 loss=2.804659 lr=0.075825 Batch [0049]/[0303]: acc-top1=37.031250 acc-top5=62.437500 Batch [0099]/[0303]: acc-top1=35.375000 acc-top5=61.500000 Batch [0149]/[0303]: acc-top1=37.052083 acc-top5=63.104167 Batch [0199]/[0303]: acc-top1=39.015625 acc-top5=65.015625 Batch [0249]/[0303]: acc-top1=38.337500 acc-top5=64.637500 Batch [0299]/[0303]: acc-top1=37.338542 acc-top5=64.510417 [Epoch 086] training: accuracy=37.303025 loss=2.804658 [Epoch 086] speed: 118 samples/sec time cost: 2144.234715 [Epoch 086] validation: acc-top1=37.278259 acc-top5=64.428630 loss=3.001476 Epoch[087] Batch [0049]/[3759] Speed: 88.168988 samples/sec accuracy=39.125000 loss=2.710104 lr=0.075811 Epoch[087] Batch [0099]/[3759] Speed: 120.143087 samples/sec accuracy=38.687500 loss=2.719528 lr=0.075800 Epoch[087] Batch [0149]/[3759] Speed: 119.178822 samples/sec accuracy=38.270833 loss=2.730673 lr=0.075789 Epoch[087] Batch [0199]/[3759] Speed: 119.444385 samples/sec accuracy=37.867188 loss=2.754011 lr=0.075778 Epoch[087] Batch [0249]/[3759] Speed: 119.287288 samples/sec accuracy=37.906250 loss=2.760467 lr=0.075767 Epoch[087] Batch [0299]/[3759] Speed: 119.794495 samples/sec accuracy=37.932292 loss=2.760521 lr=0.075756 Epoch[087] Batch [0349]/[3759] Speed: 120.378331 samples/sec accuracy=37.950893 loss=2.760017 lr=0.075745 Epoch[087] Batch [0399]/[3759] Speed: 118.814382 samples/sec accuracy=37.824219 loss=2.767953 lr=0.075734 Epoch[087] Batch [0449]/[3759] Speed: 118.939344 samples/sec accuracy=37.725694 loss=2.774268 lr=0.075723 Epoch[087] Batch [0499]/[3759] Speed: 119.475033 samples/sec accuracy=37.803125 loss=2.772752 lr=0.075712 Epoch[087] Batch [0549]/[3759] 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accuracy=37.495312 loss=2.792114 lr=0.075601 Epoch[087] Batch [1049]/[3759] Speed: 119.962213 samples/sec accuracy=37.514881 loss=2.790601 lr=0.075590 Epoch[087] Batch [1099]/[3759] Speed: 119.241547 samples/sec accuracy=37.473011 loss=2.793069 lr=0.075579 Epoch[087] Batch [1149]/[3759] Speed: 118.871635 samples/sec accuracy=37.490489 loss=2.793394 lr=0.075568 Epoch[087] Batch [1199]/[3759] Speed: 120.362734 samples/sec accuracy=37.500000 loss=2.794541 lr=0.075557 Epoch[087] Batch [1249]/[3759] Speed: 118.588646 samples/sec accuracy=37.436250 loss=2.799383 lr=0.075546 Epoch[087] Batch [1299]/[3759] Speed: 119.184207 samples/sec accuracy=37.469952 loss=2.801689 lr=0.075535 Epoch[087] Batch [1349]/[3759] Speed: 119.398268 samples/sec accuracy=37.456019 loss=2.801363 lr=0.075523 Epoch[087] Batch [1399]/[3759] Speed: 119.280361 samples/sec accuracy=37.430804 loss=2.801758 lr=0.075512 Epoch[087] Batch [1449]/[3759] Speed: 118.143232 samples/sec accuracy=37.432112 loss=2.801331 lr=0.075501 Epoch[087] Batch [1499]/[3759] Speed: 119.002750 samples/sec accuracy=37.372917 loss=2.803619 lr=0.075490 Epoch[087] Batch [1549]/[3759] Speed: 119.276241 samples/sec accuracy=37.392137 loss=2.801350 lr=0.075479 Epoch[087] Batch [1599]/[3759] Speed: 119.107101 samples/sec accuracy=37.416992 loss=2.801104 lr=0.075468 Epoch[087] Batch [1649]/[3759] Speed: 119.230313 samples/sec accuracy=37.416667 loss=2.801405 lr=0.075457 Epoch[087] Batch [1699]/[3759] Speed: 119.327646 samples/sec accuracy=37.411765 loss=2.802328 lr=0.075446 Epoch[087] Batch [1749]/[3759] Speed: 119.247542 samples/sec accuracy=37.416071 loss=2.802234 lr=0.075435 Epoch[087] Batch [1799]/[3759] Speed: 120.261565 samples/sec accuracy=37.414062 loss=2.802030 lr=0.075424 Epoch[087] Batch [1849]/[3759] Speed: 119.872426 samples/sec accuracy=37.423142 loss=2.802014 lr=0.075412 Epoch[087] Batch [1899]/[3759] Speed: 120.124959 samples/sec accuracy=37.398849 loss=2.801977 lr=0.075401 Epoch[087] Batch [1949]/[3759] Speed: 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loss=2.802728 lr=0.075290 Epoch[087] Batch [2449]/[3759] Speed: 118.922210 samples/sec accuracy=37.423469 loss=2.803522 lr=0.075279 Epoch[087] Batch [2499]/[3759] Speed: 119.181130 samples/sec accuracy=37.481250 loss=2.801698 lr=0.075268 Epoch[087] Batch [2549]/[3759] Speed: 119.250573 samples/sec accuracy=37.522059 loss=2.799672 lr=0.075257 Epoch[087] Batch [2599]/[3759] Speed: 119.152889 samples/sec accuracy=37.481370 loss=2.801455 lr=0.075246 Epoch[087] Batch [2649]/[3759] Speed: 118.699803 samples/sec accuracy=37.477594 loss=2.801674 lr=0.075235 Epoch[087] Batch [2699]/[3759] Speed: 119.882617 samples/sec accuracy=37.482060 loss=2.802193 lr=0.075223 Epoch[087] Batch [2749]/[3759] Speed: 119.352180 samples/sec accuracy=37.491477 loss=2.802258 lr=0.075212 Epoch[087] Batch [2799]/[3759] Speed: 119.549701 samples/sec accuracy=37.503348 loss=2.802193 lr=0.075201 Epoch[087] Batch [2849]/[3759] Speed: 119.324460 samples/sec accuracy=37.487390 loss=2.802510 lr=0.075190 Epoch[087] Batch [2899]/[3759] Speed: 119.631193 samples/sec accuracy=37.506466 loss=2.801904 lr=0.075179 Epoch[087] Batch [2949]/[3759] Speed: 119.595963 samples/sec accuracy=37.518538 loss=2.801447 lr=0.075168 Epoch[087] Batch [2999]/[3759] Speed: 118.489024 samples/sec accuracy=37.513021 loss=2.801794 lr=0.075157 Epoch[087] Batch [3049]/[3759] Speed: 119.685878 samples/sec accuracy=37.491803 loss=2.802472 lr=0.075145 Epoch[087] Batch [3099]/[3759] Speed: 119.174230 samples/sec accuracy=37.477823 loss=2.803122 lr=0.075134 Epoch[087] Batch [3149]/[3759] Speed: 119.182526 samples/sec accuracy=37.480159 loss=2.802698 lr=0.075123 Epoch[087] Batch [3199]/[3759] Speed: 119.210865 samples/sec accuracy=37.478027 loss=2.803143 lr=0.075112 Epoch[087] Batch [3249]/[3759] Speed: 119.324502 samples/sec accuracy=37.458173 loss=2.802943 lr=0.075101 Epoch[087] Batch [3299]/[3759] Speed: 118.629867 samples/sec accuracy=37.458807 loss=2.802749 lr=0.075090 Epoch[087] Batch [3349]/[3759] Speed: 119.547987 samples/sec accuracy=37.438899 loss=2.802634 lr=0.075079 Epoch[087] Batch [3399]/[3759] Speed: 119.549988 samples/sec accuracy=37.410386 loss=2.803256 lr=0.075067 Epoch[087] Batch [3449]/[3759] Speed: 118.955270 samples/sec accuracy=37.415308 loss=2.802736 lr=0.075056 Epoch[087] Batch [3499]/[3759] Speed: 119.647221 samples/sec accuracy=37.419643 loss=2.802424 lr=0.075045 Epoch[087] Batch [3549]/[3759] Speed: 118.939489 samples/sec accuracy=37.437940 loss=2.801533 lr=0.075034 Epoch[087] Batch [3599]/[3759] Speed: 120.001360 samples/sec accuracy=37.447483 loss=2.801217 lr=0.075023 Epoch[087] Batch [3649]/[3759] Speed: 119.559874 samples/sec accuracy=37.455908 loss=2.801339 lr=0.075012 Epoch[087] Batch [3699]/[3759] Speed: 119.123734 samples/sec accuracy=37.443412 loss=2.801709 lr=0.075000 Epoch[087] Batch [3749]/[3759] Speed: 122.254122 samples/sec accuracy=37.425833 loss=2.802711 lr=0.074989 Batch [0049]/[0303]: acc-top1=38.531250 acc-top5=64.312500 Batch [0099]/[0303]: acc-top1=35.609375 acc-top5=62.015625 Batch [0149]/[0303]: acc-top1=37.052083 acc-top5=63.322917 Batch [0199]/[0303]: acc-top1=39.898438 acc-top5=65.625000 Batch [0249]/[0303]: acc-top1=39.093750 acc-top5=65.100000 Batch [0299]/[0303]: acc-top1=38.291667 acc-top5=65.046875 [Epoch 087] training: accuracy=37.427674 loss=2.802632 [Epoch 087] speed: 118 samples/sec time cost: 2142.334951 [Epoch 087] validation: acc-top1=38.268358 acc-top5=65.037129 loss=2.979875 Epoch[088] Batch [0049]/[3760] Speed: 89.108183 samples/sec accuracy=37.343750 loss=2.719014 lr=0.074976 Epoch[088] Batch [0099]/[3760] Speed: 119.746896 samples/sec accuracy=37.921875 loss=2.746145 lr=0.074965 Epoch[088] Batch [0149]/[3760] Speed: 120.462931 samples/sec accuracy=37.770833 loss=2.767840 lr=0.074954 Epoch[088] Batch [0199]/[3760] Speed: 119.401130 samples/sec accuracy=37.984375 loss=2.767208 lr=0.074942 Epoch[088] Batch [0249]/[3760] Speed: 120.143261 samples/sec accuracy=38.256250 loss=2.758277 lr=0.074931 Epoch[088] Batch 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accuracy=37.758333 loss=2.784334 lr=0.074819 Epoch[088] Batch [0799]/[3760] Speed: 118.641704 samples/sec accuracy=37.814453 loss=2.782225 lr=0.074808 Epoch[088] Batch [0849]/[3760] Speed: 118.922376 samples/sec accuracy=37.935662 loss=2.780778 lr=0.074797 Epoch[088] Batch [0899]/[3760] Speed: 118.572822 samples/sec accuracy=37.980903 loss=2.778049 lr=0.074786 Epoch[088] Batch [0949]/[3760] Speed: 119.530927 samples/sec accuracy=37.945724 loss=2.780576 lr=0.074775 Epoch[088] Batch [0999]/[3760] Speed: 119.617036 samples/sec accuracy=37.912500 loss=2.783788 lr=0.074763 Epoch[088] Batch [1049]/[3760] Speed: 119.319059 samples/sec accuracy=37.943452 loss=2.783187 lr=0.074752 Epoch[088] Batch [1099]/[3760] Speed: 119.559602 samples/sec accuracy=37.960227 loss=2.781671 lr=0.074741 Epoch[088] Batch [1149]/[3760] Speed: 119.531822 samples/sec accuracy=37.887228 loss=2.784257 lr=0.074730 Epoch[088] Batch [1199]/[3760] Speed: 119.123650 samples/sec accuracy=37.838542 loss=2.785554 lr=0.074719 Epoch[088] Batch [1249]/[3760] Speed: 118.670412 samples/sec accuracy=37.855000 loss=2.785443 lr=0.074707 Epoch[088] Batch [1299]/[3760] Speed: 118.703420 samples/sec accuracy=37.835337 loss=2.787572 lr=0.074696 Epoch[088] Batch [1349]/[3760] Speed: 119.378048 samples/sec accuracy=37.789352 loss=2.789293 lr=0.074685 Epoch[088] Batch [1399]/[3760] Speed: 119.180395 samples/sec accuracy=37.762277 loss=2.790181 lr=0.074674 Epoch[088] Batch [1449]/[3760] Speed: 119.171681 samples/sec accuracy=37.723060 loss=2.791325 lr=0.074663 Epoch[088] Batch [1499]/[3760] Speed: 118.452179 samples/sec accuracy=37.729167 loss=2.790723 lr=0.074651 Epoch[088] Batch [1549]/[3760] Speed: 118.372931 samples/sec accuracy=37.723790 loss=2.792321 lr=0.074640 Epoch[088] Batch [1599]/[3760] Speed: 119.336246 samples/sec accuracy=37.707031 loss=2.793283 lr=0.074629 Epoch[088] Batch [1649]/[3760] Speed: 119.916882 samples/sec accuracy=37.685606 loss=2.793743 lr=0.074618 Epoch[088] Batch [1699]/[3760] Speed: 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loss=2.794208 lr=0.074505 Epoch[088] Batch [2199]/[3760] Speed: 119.910458 samples/sec accuracy=37.626420 loss=2.793923 lr=0.074494 Epoch[088] Batch [2249]/[3760] Speed: 118.927904 samples/sec accuracy=37.606944 loss=2.793983 lr=0.074483 Epoch[088] Batch [2299]/[3760] Speed: 118.789898 samples/sec accuracy=37.646060 loss=2.791443 lr=0.074472 Epoch[088] Batch [2349]/[3760] Speed: 118.951479 samples/sec accuracy=37.648271 loss=2.791688 lr=0.074460 Epoch[088] Batch [2399]/[3760] Speed: 119.364472 samples/sec accuracy=37.621094 loss=2.792718 lr=0.074449 Epoch[088] Batch [2449]/[3760] Speed: 119.443475 samples/sec accuracy=37.595663 loss=2.793983 lr=0.074438 Epoch[088] Batch [2499]/[3760] Speed: 118.924525 samples/sec accuracy=37.574375 loss=2.793918 lr=0.074427 Epoch[088] Batch [2549]/[3760] Speed: 119.404871 samples/sec accuracy=37.553309 loss=2.794632 lr=0.074415 Epoch[088] Batch [2599]/[3760] Speed: 118.791736 samples/sec accuracy=37.575120 loss=2.793825 lr=0.074404 Epoch[088] Batch 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accuracy=37.560988 loss=2.793291 lr=0.074291 Epoch[088] Batch [3149]/[3760] Speed: 119.292756 samples/sec accuracy=37.553571 loss=2.793334 lr=0.074280 Epoch[088] Batch [3199]/[3760] Speed: 119.871322 samples/sec accuracy=37.541016 loss=2.793697 lr=0.074269 Epoch[088] Batch [3249]/[3760] Speed: 119.348294 samples/sec accuracy=37.519712 loss=2.794120 lr=0.074258 Epoch[088] Batch [3299]/[3760] Speed: 118.595998 samples/sec accuracy=37.540720 loss=2.793677 lr=0.074246 Epoch[088] Batch [3349]/[3760] Speed: 119.317793 samples/sec accuracy=37.551772 loss=2.793677 lr=0.074235 Epoch[088] Batch [3399]/[3760] Speed: 118.479845 samples/sec accuracy=37.558364 loss=2.793555 lr=0.074224 Epoch[088] Batch [3449]/[3760] Speed: 119.776732 samples/sec accuracy=37.541667 loss=2.793939 lr=0.074212 Epoch[088] Batch [3499]/[3760] Speed: 120.043557 samples/sec accuracy=37.550000 loss=2.793889 lr=0.074201 Epoch[088] Batch [3549]/[3760] Speed: 119.535509 samples/sec accuracy=37.548856 loss=2.793538 lr=0.074190 Epoch[088] Batch [3599]/[3760] Speed: 119.726540 samples/sec accuracy=37.539497 loss=2.793541 lr=0.074179 Epoch[088] Batch [3649]/[3760] Speed: 119.328138 samples/sec accuracy=37.529538 loss=2.794841 lr=0.074167 Epoch[088] Batch [3699]/[3760] Speed: 119.380311 samples/sec accuracy=37.536318 loss=2.794611 lr=0.074156 Epoch[088] Batch [3749]/[3760] Speed: 123.295410 samples/sec accuracy=37.511667 loss=2.795376 lr=0.074145 Batch [0049]/[0303]: acc-top1=40.468750 acc-top5=66.718750 Batch [0099]/[0303]: acc-top1=37.453125 acc-top5=65.015625 Batch [0149]/[0303]: acc-top1=38.822917 acc-top5=65.875000 Batch [0199]/[0303]: acc-top1=41.515625 acc-top5=67.882812 Batch [0249]/[0303]: acc-top1=40.625000 acc-top5=67.768750 Batch [0299]/[0303]: acc-top1=39.932292 acc-top5=67.619792 [Epoch 088] training: accuracy=37.509142 loss=2.795508 [Epoch 088] speed: 118 samples/sec time cost: 2141.935728 [Epoch 088] validation: acc-top1=39.970091 acc-top5=67.667079 loss=2.954007 Epoch[089] Batch [0049]/[3760] Speed: 88.652202 samples/sec accuracy=38.937500 loss=2.698246 lr=0.074131 Epoch[089] Batch [0099]/[3760] Speed: 119.684794 samples/sec accuracy=37.796875 loss=2.728529 lr=0.074120 Epoch[089] Batch [0149]/[3760] Speed: 118.672464 samples/sec accuracy=37.708333 loss=2.734382 lr=0.074109 Epoch[089] Batch [0199]/[3760] Speed: 119.765347 samples/sec accuracy=37.671875 loss=2.744956 lr=0.074097 Epoch[089] Batch [0249]/[3760] Speed: 119.304008 samples/sec accuracy=37.681250 loss=2.749813 lr=0.074086 Epoch[089] Batch [0299]/[3760] Speed: 120.132306 samples/sec accuracy=37.744792 loss=2.745555 lr=0.074075 Epoch[089] Batch [0349]/[3760] Speed: 118.753544 samples/sec accuracy=37.718750 loss=2.755294 lr=0.074063 Epoch[089] Batch [0399]/[3760] Speed: 118.883771 samples/sec accuracy=37.769531 loss=2.757205 lr=0.074052 Epoch[089] Batch [0449]/[3760] Speed: 119.724854 samples/sec accuracy=37.663194 loss=2.760744 lr=0.074041 Epoch[089] Batch [0499]/[3760] Speed: 119.556405 samples/sec accuracy=37.671875 loss=2.759394 lr=0.074029 Epoch[089] Batch [0549]/[3760] Speed: 118.547940 samples/sec accuracy=37.798295 loss=2.764250 lr=0.074018 Epoch[089] Batch [0599]/[3760] Speed: 119.420948 samples/sec accuracy=37.828125 loss=2.768052 lr=0.074007 Epoch[089] Batch [0649]/[3760] Speed: 118.959049 samples/sec accuracy=37.774038 loss=2.767662 lr=0.073995 Epoch[089] Batch [0699]/[3760] Speed: 118.919500 samples/sec accuracy=37.779018 loss=2.766129 lr=0.073984 Epoch[089] Batch [0749]/[3760] Speed: 120.173607 samples/sec accuracy=37.850000 loss=2.766487 lr=0.073973 Epoch[089] Batch [0799]/[3760] Speed: 119.157213 samples/sec accuracy=37.822266 loss=2.769958 lr=0.073962 Epoch[089] Batch [0849]/[3760] Speed: 119.113476 samples/sec accuracy=37.812500 loss=2.768288 lr=0.073950 Epoch[089] Batch [0899]/[3760] Speed: 119.660663 samples/sec accuracy=37.894097 loss=2.765304 lr=0.073939 Epoch[089] Batch [0949]/[3760] Speed: 119.465199 samples/sec accuracy=37.876645 loss=2.764375 lr=0.073928 Epoch[089] Batch [0999]/[3760] Speed: 117.598957 samples/sec accuracy=37.834375 loss=2.768579 lr=0.073916 Epoch[089] Batch [1049]/[3760] Speed: 119.105565 samples/sec accuracy=37.811012 loss=2.770550 lr=0.073905 Epoch[089] Batch [1099]/[3760] Speed: 119.515645 samples/sec accuracy=37.798295 loss=2.769820 lr=0.073894 Epoch[089] Batch [1149]/[3760] Speed: 119.228633 samples/sec accuracy=37.834239 loss=2.768247 lr=0.073882 Epoch[089] Batch [1199]/[3760] Speed: 119.421261 samples/sec accuracy=37.856771 loss=2.768248 lr=0.073871 Epoch[089] Batch [1249]/[3760] Speed: 119.510362 samples/sec accuracy=37.851250 loss=2.769461 lr=0.073860 Epoch[089] Batch [1299]/[3760] Speed: 119.148426 samples/sec accuracy=37.912260 loss=2.768542 lr=0.073848 Epoch[089] Batch [1349]/[3760] Speed: 118.806204 samples/sec accuracy=37.909722 loss=2.769484 lr=0.073837 Epoch[089] Batch [1399]/[3760] Speed: 119.160133 samples/sec accuracy=37.929688 loss=2.769815 lr=0.073826 Epoch[089] Batch [1449]/[3760] Speed: 119.517120 samples/sec accuracy=37.921336 loss=2.769857 lr=0.073814 Epoch[089] Batch [1499]/[3760] Speed: 119.427498 samples/sec accuracy=37.954167 loss=2.768792 lr=0.073803 Epoch[089] Batch [1549]/[3760] Speed: 119.544890 samples/sec accuracy=37.889113 loss=2.772348 lr=0.073792 Epoch[089] Batch [1599]/[3760] Speed: 119.232952 samples/sec accuracy=37.891602 loss=2.773018 lr=0.073780 Epoch[089] Batch [1649]/[3760] Speed: 119.766474 samples/sec accuracy=37.939394 loss=2.771003 lr=0.073769 Epoch[089] Batch [1699]/[3760] Speed: 119.699098 samples/sec accuracy=37.901654 loss=2.771389 lr=0.073758 Epoch[089] Batch [1749]/[3760] Speed: 118.197768 samples/sec accuracy=37.906250 loss=2.771583 lr=0.073746 Epoch[089] Batch [1799]/[3760] Speed: 119.354826 samples/sec accuracy=37.915799 loss=2.771231 lr=0.073735 Epoch[089] Batch [1849]/[3760] Speed: 119.394180 samples/sec accuracy=37.907939 loss=2.770672 lr=0.073723 Epoch[089] Batch [1899]/[3760] Speed: 119.160234 samples/sec accuracy=37.912007 loss=2.771118 lr=0.073712 Epoch[089] Batch [1949]/[3760] Speed: 119.154840 samples/sec accuracy=37.864583 loss=2.772707 lr=0.073701 Epoch[089] Batch [1999]/[3760] Speed: 118.986360 samples/sec accuracy=37.861719 loss=2.773680 lr=0.073689 Epoch[089] Batch [2049]/[3760] Speed: 119.522373 samples/sec accuracy=37.855945 loss=2.774093 lr=0.073678 Epoch[089] Batch [2099]/[3760] Speed: 118.281048 samples/sec accuracy=37.834077 loss=2.775539 lr=0.073667 Epoch[089] Batch [2149]/[3760] Speed: 118.209691 samples/sec accuracy=37.825581 loss=2.775298 lr=0.073655 Epoch[089] Batch [2199]/[3760] Speed: 119.117266 samples/sec accuracy=37.830966 loss=2.775799 lr=0.073644 Epoch[089] Batch [2249]/[3760] Speed: 118.838140 samples/sec accuracy=37.820139 loss=2.775760 lr=0.073633 Epoch[089] Batch [2299]/[3760] Speed: 119.455342 samples/sec accuracy=37.828125 loss=2.776114 lr=0.073621 Epoch[089] Batch [2349]/[3760] Speed: 118.924891 samples/sec accuracy=37.829787 loss=2.775914 lr=0.073610 Epoch[089] Batch [2399]/[3760] Speed: 119.634524 samples/sec accuracy=37.817057 loss=2.776578 lr=0.073598 Epoch[089] Batch [2449]/[3760] Speed: 118.720964 samples/sec accuracy=37.789541 loss=2.776657 lr=0.073587 Epoch[089] Batch [2499]/[3760] Speed: 120.051444 samples/sec accuracy=37.775000 loss=2.777002 lr=0.073576 Epoch[089] Batch [2549]/[3760] Speed: 118.769638 samples/sec accuracy=37.762868 loss=2.776748 lr=0.073564 Epoch[089] Batch [2599]/[3760] Speed: 118.694554 samples/sec accuracy=37.763221 loss=2.776857 lr=0.073553 Epoch[089] Batch [2649]/[3760] Speed: 119.286007 samples/sec accuracy=37.763561 loss=2.777526 lr=0.073542 Epoch[089] Batch [2699]/[3760] Speed: 119.390823 samples/sec accuracy=37.762731 loss=2.777585 lr=0.073530 Epoch[089] Batch [2749]/[3760] Speed: 118.939166 samples/sec accuracy=37.765909 loss=2.776974 lr=0.073519 Epoch[089] Batch [2799]/[3760] Speed: 119.664070 samples/sec accuracy=37.739955 loss=2.778597 lr=0.073507 Epoch[089] Batch [2849]/[3760] Speed: 119.143644 samples/sec accuracy=37.743969 loss=2.779441 lr=0.073496 Epoch[089] Batch [2899]/[3760] Speed: 119.298883 samples/sec accuracy=37.716595 loss=2.780560 lr=0.073485 Epoch[089] Batch [2949]/[3760] Speed: 119.198947 samples/sec accuracy=37.716631 loss=2.780558 lr=0.073473 Epoch[089] Batch [2999]/[3760] Speed: 119.444228 samples/sec accuracy=37.713542 loss=2.780868 lr=0.073462 Epoch[089] Batch [3049]/[3760] Speed: 119.286049 samples/sec accuracy=37.719262 loss=2.781054 lr=0.073451 Epoch[089] Batch [3099]/[3760] Speed: 119.674602 samples/sec accuracy=37.720262 loss=2.781237 lr=0.073439 Epoch[089] Batch [3149]/[3760] Speed: 119.194741 samples/sec accuracy=37.684524 loss=2.782166 lr=0.073428 Epoch[089] Batch [3199]/[3760] Speed: 119.279889 samples/sec accuracy=37.678223 loss=2.782101 lr=0.073416 Epoch[089] Batch [3249]/[3760] Speed: 118.609667 samples/sec accuracy=37.663942 loss=2.782280 lr=0.073405 Epoch[089] Batch [3299]/[3760] Speed: 119.396299 samples/sec accuracy=37.658617 loss=2.782691 lr=0.073394 Epoch[089] Batch [3349]/[3760] Speed: 118.972381 samples/sec accuracy=37.657183 loss=2.783058 lr=0.073382 Epoch[089] Batch [3399]/[3760] Speed: 118.932579 samples/sec accuracy=37.639246 loss=2.783295 lr=0.073371 Epoch[089] Batch [3449]/[3760] Speed: 120.309668 samples/sec accuracy=37.617754 loss=2.783482 lr=0.073359 Epoch[089] Batch [3499]/[3760] Speed: 119.086183 samples/sec accuracy=37.629911 loss=2.782823 lr=0.073348 Epoch[089] Batch [3549]/[3760] Speed: 118.999275 samples/sec accuracy=37.640845 loss=2.782204 lr=0.073337 Epoch[089] Batch [3599]/[3760] Speed: 119.993373 samples/sec accuracy=37.634549 loss=2.782688 lr=0.073325 Epoch[089] Batch [3649]/[3760] Speed: 119.619012 samples/sec accuracy=37.625856 loss=2.783177 lr=0.073314 Epoch[089] Batch [3699]/[3760] Speed: 119.843430 samples/sec accuracy=37.638936 loss=2.782671 lr=0.073302 Epoch[089] Batch [3749]/[3760] Speed: 123.247867 samples/sec accuracy=37.631667 loss=2.782695 lr=0.073291 Batch [0049]/[0303]: acc-top1=36.625000 acc-top5=64.562500 Batch [0099]/[0303]: acc-top1=34.156250 acc-top5=61.953125 Batch [0149]/[0303]: acc-top1=36.291667 acc-top5=63.447917 Batch [0199]/[0303]: acc-top1=39.453125 acc-top5=65.656250 Batch [0249]/[0303]: acc-top1=38.581250 acc-top5=65.737500 Batch [0299]/[0303]: acc-top1=38.260417 acc-top5=65.796875 [Epoch 089] training: accuracy=37.630901 loss=2.782622 [Epoch 089] speed: 118 samples/sec time cost: 2143.988979 [Epoch 089] validation: acc-top1=38.252888 acc-top5=65.815800 loss=2.917568 Epoch[090] Batch [0049]/[3759] Speed: 89.206120 samples/sec accuracy=38.375000 loss=2.758968 lr=0.073277 Epoch[090] Batch [0099]/[3759] Speed: 119.659630 samples/sec accuracy=38.750000 loss=2.720022 lr=0.073266 Epoch[090] Batch [0149]/[3759] Speed: 119.840070 samples/sec accuracy=38.010417 loss=2.758881 lr=0.073254 Epoch[090] Batch [0199]/[3759] Speed: 119.501430 samples/sec accuracy=38.171875 loss=2.758415 lr=0.073243 Epoch[090] Batch [0249]/[3759] Speed: 119.295480 samples/sec accuracy=38.218750 loss=2.756133 lr=0.073232 Epoch[090] Batch [0299]/[3759] Speed: 119.511350 samples/sec accuracy=38.302083 loss=2.754526 lr=0.073220 Epoch[090] Batch [0349]/[3759] Speed: 119.373732 samples/sec accuracy=38.303571 loss=2.749637 lr=0.073209 Epoch[090] Batch [0399]/[3759] Speed: 118.354041 samples/sec accuracy=38.238281 loss=2.754600 lr=0.073197 Epoch[090] Batch [0449]/[3759] Speed: 118.744956 samples/sec accuracy=38.253472 loss=2.757430 lr=0.073186 Epoch[090] Batch [0499]/[3759] Speed: 119.646500 samples/sec accuracy=38.268750 loss=2.761946 lr=0.073174 Epoch[090] Batch [0549]/[3759] Speed: 118.795418 samples/sec accuracy=38.082386 loss=2.770266 lr=0.073163 Epoch[090] Batch [0599]/[3759] Speed: 119.004718 samples/sec accuracy=37.947917 loss=2.775541 lr=0.073152 Epoch[090] Batch [0649]/[3759] Speed: 119.497748 samples/sec accuracy=37.762019 loss=2.779061 lr=0.073140 Epoch[090] Batch [0699]/[3759] Speed: 119.037839 samples/sec accuracy=37.743304 loss=2.777703 lr=0.073129 Epoch[090] Batch [0749]/[3759] Speed: 119.163818 samples/sec accuracy=37.768750 loss=2.775212 lr=0.073117 Epoch[090] Batch [0799]/[3759] Speed: 119.046650 samples/sec accuracy=37.750000 loss=2.776149 lr=0.073106 Epoch[090] Batch [0849]/[3759] Speed: 119.602703 samples/sec accuracy=37.748162 loss=2.774908 lr=0.073094 Epoch[090] Batch [0899]/[3759] Speed: 119.129131 samples/sec accuracy=37.767361 loss=2.774106 lr=0.073083 Epoch[090] Batch [0949]/[3759] Speed: 119.566392 samples/sec accuracy=37.730263 loss=2.775114 lr=0.073072 Epoch[090] Batch [0999]/[3759] Speed: 120.037049 samples/sec accuracy=37.789062 loss=2.771416 lr=0.073060 Epoch[090] Batch [1049]/[3759] Speed: 119.650564 samples/sec accuracy=37.772321 loss=2.772735 lr=0.073049 Epoch[090] Batch [1099]/[3759] Speed: 118.608729 samples/sec accuracy=37.785511 loss=2.771259 lr=0.073037 Epoch[090] Batch [1149]/[3759] Speed: 119.834515 samples/sec accuracy=37.748641 loss=2.772270 lr=0.073026 Epoch[090] Batch [1199]/[3759] Speed: 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loss=2.768925 lr=0.072911 Epoch[090] Batch [1699]/[3759] Speed: 119.215510 samples/sec accuracy=37.923713 loss=2.768585 lr=0.072900 Epoch[090] Batch [1749]/[3759] Speed: 119.583545 samples/sec accuracy=37.912500 loss=2.768625 lr=0.072888 Epoch[090] Batch [1799]/[3759] Speed: 118.707513 samples/sec accuracy=37.890625 loss=2.770844 lr=0.072877 Epoch[090] Batch [1849]/[3759] Speed: 118.515487 samples/sec accuracy=37.918919 loss=2.770338 lr=0.072865 Epoch[090] Batch [1899]/[3759] Speed: 119.556569 samples/sec accuracy=37.908717 loss=2.770743 lr=0.072854 Epoch[090] Batch [1949]/[3759] Speed: 119.907694 samples/sec accuracy=37.947115 loss=2.768145 lr=0.072842 Epoch[090] Batch [1999]/[3759] Speed: 118.151464 samples/sec accuracy=37.964844 loss=2.767147 lr=0.072831 Epoch[090] Batch [2049]/[3759] Speed: 120.224219 samples/sec accuracy=37.962652 loss=2.766067 lr=0.072819 Epoch[090] Batch [2099]/[3759] Speed: 119.455213 samples/sec accuracy=37.946429 loss=2.766335 lr=0.072808 Epoch[090] Batch 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accuracy=37.892428 loss=2.768458 lr=0.072693 Epoch[090] Batch [2649]/[3759] Speed: 119.122561 samples/sec accuracy=37.885024 loss=2.768595 lr=0.072682 Epoch[090] Batch [2699]/[3759] Speed: 118.623752 samples/sec accuracy=37.879051 loss=2.768949 lr=0.072670 Epoch[090] Batch [2749]/[3759] Speed: 119.427964 samples/sec accuracy=37.861932 loss=2.769155 lr=0.072659 Epoch[090] Batch [2799]/[3759] Speed: 118.803272 samples/sec accuracy=37.865513 loss=2.768712 lr=0.072647 Epoch[090] Batch [2849]/[3759] Speed: 119.080407 samples/sec accuracy=37.850329 loss=2.769891 lr=0.072636 Epoch[090] Batch [2899]/[3759] Speed: 119.267648 samples/sec accuracy=37.878233 loss=2.769043 lr=0.072624 Epoch[090] Batch [2949]/[3759] Speed: 119.349810 samples/sec accuracy=37.865996 loss=2.769922 lr=0.072613 Epoch[090] Batch [2999]/[3759] Speed: 119.556399 samples/sec accuracy=37.838021 loss=2.770900 lr=0.072601 Epoch[090] Batch [3049]/[3759] Speed: 119.914330 samples/sec accuracy=37.855020 loss=2.770534 lr=0.072590 Epoch[090] Batch [3099]/[3759] Speed: 119.442083 samples/sec accuracy=37.847782 loss=2.770614 lr=0.072578 Epoch[090] Batch [3149]/[3759] Speed: 118.784538 samples/sec accuracy=37.839782 loss=2.771766 lr=0.072567 Epoch[090] Batch [3199]/[3759] Speed: 120.308373 samples/sec accuracy=37.844238 loss=2.771989 lr=0.072555 Epoch[090] Batch [3249]/[3759] Speed: 119.719201 samples/sec accuracy=37.837981 loss=2.772993 lr=0.072544 Epoch[090] Batch [3299]/[3759] Speed: 119.681164 samples/sec accuracy=37.842330 loss=2.773333 lr=0.072532 Epoch[090] Batch [3349]/[3759] Speed: 119.494757 samples/sec accuracy=37.830690 loss=2.773607 lr=0.072521 Epoch[090] Batch [3399]/[3759] Speed: 119.952262 samples/sec accuracy=37.843750 loss=2.773554 lr=0.072509 Epoch[090] Batch [3449]/[3759] Speed: 119.175855 samples/sec accuracy=37.840580 loss=2.773912 lr=0.072497 Epoch[090] Batch [3499]/[3759] Speed: 119.791104 samples/sec accuracy=37.855804 loss=2.773497 lr=0.072486 Epoch[090] Batch [3549]/[3759] Speed: 119.719962 samples/sec accuracy=37.855194 loss=2.773902 lr=0.072474 Epoch[090] Batch [3599]/[3759] Speed: 119.872674 samples/sec accuracy=37.848090 loss=2.774447 lr=0.072463 Epoch[090] Batch [3649]/[3759] Speed: 118.513511 samples/sec accuracy=37.863014 loss=2.773785 lr=0.072451 Epoch[090] Batch [3699]/[3759] Speed: 119.654098 samples/sec accuracy=37.854307 loss=2.774134 lr=0.072440 Epoch[090] Batch [3749]/[3759] Speed: 123.792546 samples/sec accuracy=37.844583 loss=2.774197 lr=0.072428 Batch [0049]/[0303]: acc-top1=39.125000 acc-top5=65.156250 Batch [0099]/[0303]: acc-top1=36.656250 acc-top5=63.109375 Batch [0149]/[0303]: acc-top1=38.052083 acc-top5=64.395833 Batch [0199]/[0303]: acc-top1=40.734375 acc-top5=66.585938 Batch [0249]/[0303]: acc-top1=39.987500 acc-top5=66.325000 Batch [0299]/[0303]: acc-top1=39.161458 acc-top5=66.208333 [Epoch 090] training: accuracy=37.838770 loss=2.774030 [Epoch 090] speed: 118 samples/sec time cost: 2140.969958 [Epoch 090] validation: acc-top1=39.242987 acc-top5=66.279909 loss=2.893522 Epoch[091] Batch [0049]/[3760] Speed: 88.180022 samples/sec accuracy=38.812500 loss=2.717127 lr=0.072415 Epoch[091] Batch [0099]/[3760] Speed: 119.510537 samples/sec accuracy=38.937500 loss=2.705986 lr=0.072403 Epoch[091] Batch [0149]/[3760] Speed: 119.055166 samples/sec accuracy=39.677083 loss=2.675531 lr=0.072392 Epoch[091] Batch [0199]/[3760] Speed: 119.224673 samples/sec accuracy=39.718750 loss=2.675361 lr=0.072380 Epoch[091] Batch [0249]/[3760] Speed: 119.288972 samples/sec accuracy=39.650000 loss=2.680775 lr=0.072369 Epoch[091] Batch [0299]/[3760] Speed: 119.319026 samples/sec accuracy=39.187500 loss=2.705426 lr=0.072357 Epoch[091] Batch [0349]/[3760] Speed: 118.813562 samples/sec accuracy=39.107143 loss=2.705690 lr=0.072346 Epoch[091] Batch [0399]/[3760] Speed: 120.197704 samples/sec accuracy=39.058594 loss=2.716982 lr=0.072334 Epoch[091] Batch [0449]/[3760] Speed: 120.791336 samples/sec accuracy=38.972222 loss=2.718302 lr=0.072322 Epoch[091] Batch [0499]/[3760] Speed: 118.562809 samples/sec accuracy=38.925000 loss=2.722701 lr=0.072311 Epoch[091] Batch [0549]/[3760] Speed: 119.550989 samples/sec accuracy=38.801136 loss=2.730391 lr=0.072299 Epoch[091] Batch [0599]/[3760] Speed: 119.413051 samples/sec accuracy=38.742188 loss=2.738684 lr=0.072288 Epoch[091] Batch [0649]/[3760] Speed: 119.178549 samples/sec accuracy=38.677885 loss=2.741723 lr=0.072276 Epoch[091] Batch [0699]/[3760] Speed: 118.856474 samples/sec accuracy=38.752232 loss=2.737050 lr=0.072265 Epoch[091] Batch [0749]/[3760] Speed: 118.363347 samples/sec accuracy=38.687500 loss=2.740081 lr=0.072253 Epoch[091] Batch [0799]/[3760] Speed: 119.545359 samples/sec accuracy=38.689453 loss=2.737658 lr=0.072242 Epoch[091] Batch [0849]/[3760] Speed: 118.988851 samples/sec accuracy=38.674632 loss=2.738470 lr=0.072230 Epoch[091] Batch [0899]/[3760] Speed: 119.164212 samples/sec accuracy=38.710069 loss=2.734709 lr=0.072219 Epoch[091] Batch [0949]/[3760] 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accuracy=38.475446 loss=2.742373 lr=0.072103 Epoch[091] Batch [1449]/[3760] Speed: 119.861191 samples/sec accuracy=38.411638 loss=2.744462 lr=0.072091 Epoch[091] Batch [1499]/[3760] Speed: 117.801904 samples/sec accuracy=38.368750 loss=2.746842 lr=0.072080 Epoch[091] Batch [1549]/[3760] Speed: 120.058368 samples/sec accuracy=38.300403 loss=2.749106 lr=0.072068 Epoch[091] Batch [1599]/[3760] Speed: 119.590897 samples/sec accuracy=38.278320 loss=2.749840 lr=0.072057 Epoch[091] Batch [1649]/[3760] Speed: 118.893592 samples/sec accuracy=38.250947 loss=2.750770 lr=0.072045 Epoch[091] Batch [1699]/[3760] Speed: 119.204100 samples/sec accuracy=38.271140 loss=2.748709 lr=0.072033 Epoch[091] Batch [1749]/[3760] Speed: 119.714976 samples/sec accuracy=38.294643 loss=2.747048 lr=0.072022 Epoch[091] Batch [1799]/[3760] Speed: 119.568760 samples/sec accuracy=38.292535 loss=2.747774 lr=0.072010 Epoch[091] Batch [1849]/[3760] Speed: 119.167782 samples/sec accuracy=38.258446 loss=2.748389 lr=0.071999 Epoch[091] Batch [1899]/[3760] Speed: 119.735115 samples/sec accuracy=38.262336 loss=2.748096 lr=0.071987 Epoch[091] Batch [1949]/[3760] Speed: 119.151858 samples/sec accuracy=38.279647 loss=2.747156 lr=0.071976 Epoch[091] Batch [1999]/[3760] Speed: 118.948623 samples/sec accuracy=38.260937 loss=2.748447 lr=0.071964 Epoch[091] Batch [2049]/[3760] Speed: 119.516245 samples/sec accuracy=38.259146 loss=2.748979 lr=0.071952 Epoch[091] Batch [2099]/[3760] Speed: 119.584678 samples/sec accuracy=38.252976 loss=2.749345 lr=0.071941 Epoch[091] Batch [2149]/[3760] Speed: 119.187197 samples/sec accuracy=38.263081 loss=2.749596 lr=0.071929 Epoch[091] Batch [2199]/[3760] Speed: 119.910674 samples/sec accuracy=38.278409 loss=2.750186 lr=0.071918 Epoch[091] Batch [2249]/[3760] Speed: 118.824373 samples/sec accuracy=38.268056 loss=2.750843 lr=0.071906 Epoch[091] Batch [2299]/[3760] Speed: 119.789347 samples/sec accuracy=38.241168 loss=2.751702 lr=0.071894 Epoch[091] Batch [2349]/[3760] Speed: 118.860826 samples/sec accuracy=38.236037 loss=2.751885 lr=0.071883 Epoch[091] Batch [2399]/[3760] Speed: 118.751134 samples/sec accuracy=38.250000 loss=2.752979 lr=0.071871 Epoch[091] Batch [2449]/[3760] Speed: 119.741287 samples/sec accuracy=38.235969 loss=2.753367 lr=0.071860 Epoch[091] Batch [2499]/[3760] Speed: 119.957282 samples/sec accuracy=38.228125 loss=2.754366 lr=0.071848 Epoch[091] Batch [2549]/[3760] Speed: 119.178179 samples/sec accuracy=38.204657 loss=2.754927 lr=0.071836 Epoch[091] Batch [2599]/[3760] Speed: 119.627958 samples/sec accuracy=38.193510 loss=2.755607 lr=0.071825 Epoch[091] Batch [2649]/[3760] Speed: 119.900729 samples/sec accuracy=38.156250 loss=2.757349 lr=0.071813 Epoch[091] Batch [2699]/[3760] Speed: 119.300465 samples/sec accuracy=38.166667 loss=2.756555 lr=0.071802 Epoch[091] Batch [2749]/[3760] Speed: 118.578408 samples/sec accuracy=38.130682 loss=2.757973 lr=0.071790 Epoch[091] Batch [2799]/[3760] Speed: 119.481726 samples/sec accuracy=38.127232 loss=2.758234 lr=0.071778 Epoch[091] Batch [2849]/[3760] Speed: 119.773425 samples/sec accuracy=38.123904 loss=2.758685 lr=0.071767 Epoch[091] Batch [2899]/[3760] Speed: 119.811533 samples/sec accuracy=38.109375 loss=2.758987 lr=0.071755 Epoch[091] Batch [2949]/[3760] Speed: 119.829037 samples/sec accuracy=38.076271 loss=2.760758 lr=0.071744 Epoch[091] Batch [2999]/[3760] Speed: 119.170304 samples/sec accuracy=38.069792 loss=2.761099 lr=0.071732 Epoch[091] Batch [3049]/[3760] Speed: 118.739421 samples/sec accuracy=38.079918 loss=2.761078 lr=0.071720 Epoch[091] Batch [3099]/[3760] Speed: 118.285780 samples/sec accuracy=38.086694 loss=2.760881 lr=0.071709 Epoch[091] Batch [3149]/[3760] Speed: 119.017116 samples/sec accuracy=38.079365 loss=2.761557 lr=0.071697 Epoch[091] Batch [3199]/[3760] Speed: 119.468196 samples/sec accuracy=38.091309 loss=2.761333 lr=0.071686 Epoch[091] Batch [3249]/[3760] Speed: 119.516929 samples/sec accuracy=38.105288 loss=2.761596 lr=0.071674 Epoch[091] Batch [3299]/[3760] Speed: 119.627166 samples/sec accuracy=38.097064 loss=2.762106 lr=0.071662 Epoch[091] Batch [3349]/[3760] Speed: 119.365700 samples/sec accuracy=38.074160 loss=2.763317 lr=0.071651 Epoch[091] Batch [3399]/[3760] Speed: 119.391500 samples/sec accuracy=38.085938 loss=2.763261 lr=0.071639 Epoch[091] Batch [3449]/[3760] Speed: 118.996416 samples/sec accuracy=38.076540 loss=2.763619 lr=0.071627 Epoch[091] Batch [3499]/[3760] Speed: 119.300800 samples/sec accuracy=38.060268 loss=2.764517 lr=0.071616 Epoch[091] Batch [3549]/[3760] Speed: 119.200236 samples/sec accuracy=38.082746 loss=2.763345 lr=0.071604 Epoch[091] Batch [3599]/[3760] Speed: 118.432940 samples/sec accuracy=38.085069 loss=2.763871 lr=0.071592 Epoch[091] Batch [3649]/[3760] Speed: 118.648077 samples/sec accuracy=38.076199 loss=2.764094 lr=0.071581 Epoch[091] Batch [3699]/[3760] Speed: 118.638215 samples/sec accuracy=38.069679 loss=2.764061 lr=0.071569 Epoch[091] Batch [3749]/[3760] Speed: 123.038988 samples/sec accuracy=38.064167 loss=2.764420 lr=0.071558 Batch [0049]/[0303]: acc-top1=33.906250 acc-top5=60.500000 Batch [0099]/[0303]: acc-top1=33.515625 acc-top5=60.234375 Batch [0149]/[0303]: acc-top1=36.489583 acc-top5=62.187500 Batch [0199]/[0303]: acc-top1=39.273438 acc-top5=64.429688 Batch [0249]/[0303]: acc-top1=38.800000 acc-top5=64.575000 Batch [0299]/[0303]: acc-top1=37.822917 acc-top5=64.411458 [Epoch 091] training: accuracy=38.063913 loss=2.764318 [Epoch 091] speed: 118 samples/sec time cost: 2143.441309 [Epoch 091] validation: acc-top1=37.706271 acc-top5=64.454414 loss=3.006371 Epoch[092] Batch [0049]/[3760] Speed: 86.699163 samples/sec accuracy=37.187500 loss=2.797663 lr=0.071544 Epoch[092] Batch [0099]/[3760] Speed: 119.547254 samples/sec accuracy=37.859375 loss=2.746470 lr=0.071532 Epoch[092] Batch [0149]/[3760] Speed: 119.820492 samples/sec accuracy=37.770833 loss=2.768942 lr=0.071520 Epoch[092] Batch [0199]/[3760] Speed: 118.591786 samples/sec accuracy=38.210938 loss=2.763589 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accuracy=38.354620 loss=2.749038 lr=0.071287 Epoch[092] Batch [1199]/[3760] Speed: 119.625500 samples/sec accuracy=38.338542 loss=2.750770 lr=0.071276 Epoch[092] Batch [1249]/[3760] Speed: 120.031447 samples/sec accuracy=38.405000 loss=2.749499 lr=0.071264 Epoch[092] Batch [1299]/[3760] Speed: 119.730207 samples/sec accuracy=38.395433 loss=2.750615 lr=0.071252 Epoch[092] Batch [1349]/[3760] Speed: 119.760044 samples/sec accuracy=38.365741 loss=2.750929 lr=0.071241 Epoch[092] Batch [1399]/[3760] Speed: 118.987981 samples/sec accuracy=38.343750 loss=2.751347 lr=0.071229 Epoch[092] Batch [1449]/[3760] Speed: 119.800306 samples/sec accuracy=38.348060 loss=2.751851 lr=0.071217 Epoch[092] Batch [1499]/[3760] Speed: 120.241773 samples/sec accuracy=38.380208 loss=2.750069 lr=0.071205 Epoch[092] Batch [1549]/[3760] Speed: 119.405515 samples/sec accuracy=38.372984 loss=2.748855 lr=0.071194 Epoch[092] Batch [1599]/[3760] Speed: 119.014468 samples/sec accuracy=38.357422 loss=2.749402 lr=0.071182 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loss=2.755880 lr=0.070960 Epoch[092] Batch [2599]/[3760] Speed: 119.250240 samples/sec accuracy=38.212139 loss=2.756343 lr=0.070948 Epoch[092] Batch [2649]/[3760] Speed: 118.611545 samples/sec accuracy=38.217571 loss=2.756457 lr=0.070936 Epoch[092] Batch [2699]/[3760] Speed: 118.917375 samples/sec accuracy=38.238426 loss=2.755272 lr=0.070925 Epoch[092] Batch [2749]/[3760] Speed: 118.879370 samples/sec accuracy=38.259091 loss=2.754524 lr=0.070913 Epoch[092] Batch [2799]/[3760] Speed: 119.538642 samples/sec accuracy=38.264509 loss=2.754885 lr=0.070901 Epoch[092] Batch [2849]/[3760] Speed: 119.352530 samples/sec accuracy=38.258224 loss=2.754752 lr=0.070890 Epoch[092] Batch [2899]/[3760] Speed: 119.557764 samples/sec accuracy=38.258082 loss=2.755555 lr=0.070878 Epoch[092] Batch [2949]/[3760] Speed: 120.362699 samples/sec accuracy=38.262712 loss=2.756254 lr=0.070866 Epoch[092] Batch [2999]/[3760] Speed: 119.184776 samples/sec accuracy=38.241146 loss=2.757735 lr=0.070854 Epoch[092] Batch 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accuracy=38.178125 loss=2.759228 lr=0.070737 Epoch[092] Batch [3549]/[3760] Speed: 119.021392 samples/sec accuracy=38.161972 loss=2.760191 lr=0.070725 Epoch[092] Batch [3599]/[3760] Speed: 119.360234 samples/sec accuracy=38.138889 loss=2.760379 lr=0.070714 Epoch[092] Batch [3649]/[3760] Speed: 119.485233 samples/sec accuracy=38.146832 loss=2.759913 lr=0.070702 Epoch[092] Batch [3699]/[3760] Speed: 119.572436 samples/sec accuracy=38.158361 loss=2.759448 lr=0.070690 Epoch[092] Batch [3749]/[3760] Speed: 123.105965 samples/sec accuracy=38.148333 loss=2.759320 lr=0.070678 Batch [0049]/[0303]: acc-top1=37.875000 acc-top5=65.687500 Batch [0099]/[0303]: acc-top1=36.812500 acc-top5=64.187500 Batch [0149]/[0303]: acc-top1=38.572917 acc-top5=65.375000 Batch [0199]/[0303]: acc-top1=40.585938 acc-top5=67.117188 Batch [0249]/[0303]: acc-top1=39.600000 acc-top5=66.637500 Batch [0299]/[0303]: acc-top1=38.932292 acc-top5=66.484375 [Epoch 092] training: accuracy=38.159491 loss=2.759155 [Epoch 092] speed: 118 samples/sec time cost: 2143.005566 [Epoch 092] validation: acc-top1=38.882013 acc-top5=66.450083 loss=2.916474 Epoch[093] Batch [0049]/[3759] Speed: 87.372383 samples/sec accuracy=38.843750 loss=2.708234 lr=0.070664 Epoch[093] Batch [0099]/[3759] Speed: 119.962671 samples/sec accuracy=38.375000 loss=2.733601 lr=0.070653 Epoch[093] Batch [0149]/[3759] Speed: 120.135942 samples/sec accuracy=38.343750 loss=2.745794 lr=0.070641 Epoch[093] Batch [0199]/[3759] Speed: 119.790429 samples/sec accuracy=38.148438 loss=2.744226 lr=0.070629 Epoch[093] Batch [0249]/[3759] Speed: 119.424333 samples/sec accuracy=38.237500 loss=2.734863 lr=0.070617 Epoch[093] Batch [0299]/[3759] Speed: 119.766849 samples/sec accuracy=38.244792 loss=2.731464 lr=0.070606 Epoch[093] Batch [0349]/[3759] Speed: 119.241192 samples/sec accuracy=38.209821 loss=2.735337 lr=0.070594 Epoch[093] Batch [0399]/[3759] Speed: 119.800454 samples/sec accuracy=38.296875 loss=2.734498 lr=0.070582 Epoch[093] Batch [0449]/[3759] 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accuracy=38.581597 loss=2.736496 lr=0.070465 Epoch[093] Batch [0949]/[3759] Speed: 119.366578 samples/sec accuracy=38.509868 loss=2.736506 lr=0.070453 Epoch[093] Batch [0999]/[3759] Speed: 118.879433 samples/sec accuracy=38.607813 loss=2.733468 lr=0.070441 Epoch[093] Batch [1049]/[3759] Speed: 118.205055 samples/sec accuracy=38.613095 loss=2.733960 lr=0.070429 Epoch[093] Batch [1099]/[3759] Speed: 119.588305 samples/sec accuracy=38.622159 loss=2.734072 lr=0.070417 Epoch[093] Batch [1149]/[3759] Speed: 119.624377 samples/sec accuracy=38.578804 loss=2.736620 lr=0.070406 Epoch[093] Batch [1199]/[3759] Speed: 119.756879 samples/sec accuracy=38.593750 loss=2.735701 lr=0.070394 Epoch[093] Batch [1249]/[3759] Speed: 120.311625 samples/sec accuracy=38.528750 loss=2.736584 lr=0.070382 Epoch[093] Batch [1299]/[3759] Speed: 118.560812 samples/sec accuracy=38.539663 loss=2.736608 lr=0.070370 Epoch[093] Batch [1349]/[3759] Speed: 118.249101 samples/sec accuracy=38.552083 loss=2.736374 lr=0.070359 Epoch[093] Batch [1399]/[3759] Speed: 119.292029 samples/sec accuracy=38.547991 loss=2.738329 lr=0.070347 Epoch[093] Batch [1449]/[3759] Speed: 119.547640 samples/sec accuracy=38.543103 loss=2.738648 lr=0.070335 Epoch[093] Batch [1499]/[3759] Speed: 119.544122 samples/sec accuracy=38.560417 loss=2.738476 lr=0.070323 Epoch[093] Batch [1549]/[3759] Speed: 118.926207 samples/sec accuracy=38.490927 loss=2.740638 lr=0.070311 Epoch[093] Batch [1599]/[3759] Speed: 119.345610 samples/sec accuracy=38.470703 loss=2.740416 lr=0.070300 Epoch[093] Batch [1649]/[3759] Speed: 119.254177 samples/sec accuracy=38.485795 loss=2.739760 lr=0.070288 Epoch[093] Batch [1699]/[3759] Speed: 120.309022 samples/sec accuracy=38.534926 loss=2.738417 lr=0.070276 Epoch[093] Batch [1749]/[3759] Speed: 119.269079 samples/sec accuracy=38.547321 loss=2.738315 lr=0.070264 Epoch[093] Batch [1799]/[3759] Speed: 119.636549 samples/sec accuracy=38.570312 loss=2.737814 lr=0.070252 Epoch[093] Batch [1849]/[3759] Speed: 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loss=2.740732 lr=0.070135 Epoch[093] Batch [2349]/[3759] Speed: 119.504782 samples/sec accuracy=38.477394 loss=2.741727 lr=0.070123 Epoch[093] Batch [2399]/[3759] Speed: 119.259787 samples/sec accuracy=38.459635 loss=2.742132 lr=0.070111 Epoch[093] Batch [2449]/[3759] Speed: 119.202124 samples/sec accuracy=38.437500 loss=2.742850 lr=0.070099 Epoch[093] Batch [2499]/[3759] Speed: 119.499018 samples/sec accuracy=38.456250 loss=2.742432 lr=0.070087 Epoch[093] Batch [2549]/[3759] Speed: 118.948745 samples/sec accuracy=38.450368 loss=2.742818 lr=0.070075 Epoch[093] Batch [2599]/[3759] Speed: 119.252347 samples/sec accuracy=38.448317 loss=2.742954 lr=0.070064 Epoch[093] Batch [2649]/[3759] Speed: 119.028714 samples/sec accuracy=38.428656 loss=2.744042 lr=0.070052 Epoch[093] Batch [2699]/[3759] Speed: 118.569870 samples/sec accuracy=38.431134 loss=2.744304 lr=0.070040 Epoch[093] Batch [2749]/[3759] Speed: 119.201557 samples/sec accuracy=38.426136 loss=2.743870 lr=0.070028 Epoch[093] Batch 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accuracy=38.325962 loss=2.747584 lr=0.069910 Epoch[093] Batch [3299]/[3759] Speed: 118.585242 samples/sec accuracy=38.333807 loss=2.747310 lr=0.069898 Epoch[093] Batch [3349]/[3759] Speed: 119.445975 samples/sec accuracy=38.315765 loss=2.747729 lr=0.069886 Epoch[093] Batch [3399]/[3759] Speed: 119.574276 samples/sec accuracy=38.327665 loss=2.747515 lr=0.069874 Epoch[093] Batch [3449]/[3759] Speed: 119.018147 samples/sec accuracy=38.321558 loss=2.748119 lr=0.069863 Epoch[093] Batch [3499]/[3759] Speed: 119.451276 samples/sec accuracy=38.318304 loss=2.748701 lr=0.069851 Epoch[093] Batch [3549]/[3759] Speed: 119.211031 samples/sec accuracy=38.305458 loss=2.749422 lr=0.069839 Epoch[093] Batch [3599]/[3759] Speed: 118.914773 samples/sec accuracy=38.302951 loss=2.749284 lr=0.069827 Epoch[093] Batch [3649]/[3759] Speed: 118.627263 samples/sec accuracy=38.291524 loss=2.749744 lr=0.069815 Epoch[093] Batch [3699]/[3759] Speed: 119.099080 samples/sec accuracy=38.298986 loss=2.749659 lr=0.069803 Epoch[093] Batch [3749]/[3759] Speed: 123.235572 samples/sec accuracy=38.287083 loss=2.750595 lr=0.069792 Batch [0049]/[0303]: acc-top1=40.031250 acc-top5=67.031250 Batch [0099]/[0303]: acc-top1=36.328125 acc-top5=63.937500 Batch [0149]/[0303]: acc-top1=38.291667 acc-top5=65.218750 Batch [0199]/[0303]: acc-top1=40.437500 acc-top5=66.960938 Batch [0249]/[0303]: acc-top1=39.856250 acc-top5=66.800000 Batch [0299]/[0303]: acc-top1=38.583333 acc-top5=66.265625 [Epoch 093] training: accuracy=38.283952 loss=2.750652 [Epoch 093] speed: 118 samples/sec time cost: 2143.471401 [Epoch 093] validation: acc-top1=38.588078 acc-top5=66.290223 loss=2.920797 Epoch[094] Batch [0049]/[3760] Speed: 87.759697 samples/sec accuracy=40.062500 loss=2.708215 lr=0.069778 Epoch[094] Batch [0099]/[3760] Speed: 119.458844 samples/sec accuracy=38.937500 loss=2.744738 lr=0.069766 Epoch[094] Batch [0149]/[3760] Speed: 119.407476 samples/sec accuracy=38.760417 loss=2.742070 lr=0.069754 Epoch[094] Batch [0199]/[3760] 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accuracy=38.915865 loss=2.721623 lr=0.069635 Epoch[094] Batch [0699]/[3760] Speed: 119.424048 samples/sec accuracy=38.870536 loss=2.722138 lr=0.069624 Epoch[094] Batch [0749]/[3760] Speed: 119.729103 samples/sec accuracy=38.816667 loss=2.726480 lr=0.069612 Epoch[094] Batch [0799]/[3760] Speed: 119.340912 samples/sec accuracy=38.769531 loss=2.730657 lr=0.069600 Epoch[094] Batch [0849]/[3760] Speed: 118.584063 samples/sec accuracy=38.656250 loss=2.737030 lr=0.069588 Epoch[094] Batch [0899]/[3760] Speed: 119.518662 samples/sec accuracy=38.704861 loss=2.733193 lr=0.069576 Epoch[094] Batch [0949]/[3760] Speed: 119.035894 samples/sec accuracy=38.735197 loss=2.732597 lr=0.069564 Epoch[094] Batch [0999]/[3760] Speed: 119.447268 samples/sec accuracy=38.782813 loss=2.728252 lr=0.069552 Epoch[094] Batch [1049]/[3760] Speed: 119.227537 samples/sec accuracy=38.818452 loss=2.726399 lr=0.069540 Epoch[094] Batch [1099]/[3760] Speed: 119.196078 samples/sec accuracy=38.819602 loss=2.725757 lr=0.069529 Epoch[094] Batch [1149]/[3760] Speed: 119.342457 samples/sec accuracy=38.836957 loss=2.723712 lr=0.069517 Epoch[094] Batch [1199]/[3760] Speed: 119.373540 samples/sec accuracy=38.848958 loss=2.723426 lr=0.069505 Epoch[094] Batch [1249]/[3760] Speed: 119.631697 samples/sec accuracy=38.790000 loss=2.725158 lr=0.069493 Epoch[094] Batch [1299]/[3760] Speed: 118.990691 samples/sec accuracy=38.829327 loss=2.724800 lr=0.069481 Epoch[094] Batch [1349]/[3760] Speed: 119.382087 samples/sec accuracy=38.835648 loss=2.724622 lr=0.069469 Epoch[094] Batch [1399]/[3760] Speed: 119.708927 samples/sec accuracy=38.822545 loss=2.723525 lr=0.069457 Epoch[094] Batch [1449]/[3760] Speed: 119.737400 samples/sec accuracy=38.793103 loss=2.723647 lr=0.069445 Epoch[094] Batch [1499]/[3760] Speed: 119.311431 samples/sec accuracy=38.770833 loss=2.725325 lr=0.069434 Epoch[094] Batch [1549]/[3760] Speed: 119.419677 samples/sec accuracy=38.736895 loss=2.727931 lr=0.069422 Epoch[094] Batch [1599]/[3760] Speed: 119.186426 samples/sec accuracy=38.708984 loss=2.729870 lr=0.069410 Epoch[094] Batch [1649]/[3760] Speed: 119.232479 samples/sec accuracy=38.672348 loss=2.730632 lr=0.069398 Epoch[094] Batch [1699]/[3760] Speed: 118.677830 samples/sec accuracy=38.685662 loss=2.731491 lr=0.069386 Epoch[094] Batch [1749]/[3760] Speed: 117.831217 samples/sec accuracy=38.697321 loss=2.731951 lr=0.069374 Epoch[094] Batch [1799]/[3760] Speed: 119.979587 samples/sec accuracy=38.698785 loss=2.732674 lr=0.069362 Epoch[094] Batch [1849]/[3760] Speed: 119.151596 samples/sec accuracy=38.712838 loss=2.733577 lr=0.069350 Epoch[094] Batch [1899]/[3760] Speed: 119.324335 samples/sec accuracy=38.691612 loss=2.734672 lr=0.069338 Epoch[094] Batch [1949]/[3760] Speed: 119.318093 samples/sec accuracy=38.683494 loss=2.734242 lr=0.069327 Epoch[094] Batch [1999]/[3760] Speed: 118.035568 samples/sec accuracy=38.650781 loss=2.736921 lr=0.069315 Epoch[094] Batch [2049]/[3760] Speed: 119.881589 samples/sec accuracy=38.675305 loss=2.736331 lr=0.069303 Epoch[094] Batch [2099]/[3760] Speed: 119.975821 samples/sec accuracy=38.674107 loss=2.736516 lr=0.069291 Epoch[094] Batch [2149]/[3760] Speed: 119.658024 samples/sec accuracy=38.633721 loss=2.737858 lr=0.069279 Epoch[094] Batch [2199]/[3760] Speed: 119.684769 samples/sec accuracy=38.604403 loss=2.738869 lr=0.069267 Epoch[094] Batch [2249]/[3760] Speed: 120.129560 samples/sec accuracy=38.600000 loss=2.737745 lr=0.069255 Epoch[094] Batch [2299]/[3760] Speed: 119.312965 samples/sec accuracy=38.621603 loss=2.737358 lr=0.069243 Epoch[094] Batch [2349]/[3760] Speed: 119.092105 samples/sec accuracy=38.631649 loss=2.737081 lr=0.069231 Epoch[094] Batch [2399]/[3760] Speed: 119.563467 samples/sec accuracy=38.649089 loss=2.736027 lr=0.069219 Epoch[094] Batch [2449]/[3760] Speed: 119.632141 samples/sec accuracy=38.616071 loss=2.737469 lr=0.069208 Epoch[094] Batch [2499]/[3760] Speed: 119.992427 samples/sec accuracy=38.608750 loss=2.737579 lr=0.069196 Epoch[094] Batch [2549]/[3760] Speed: 118.197621 samples/sec accuracy=38.604167 loss=2.737586 lr=0.069184 Epoch[094] Batch [2599]/[3760] Speed: 119.940289 samples/sec accuracy=38.591947 loss=2.738210 lr=0.069172 Epoch[094] Batch [2649]/[3760] Speed: 118.751985 samples/sec accuracy=38.579009 loss=2.738447 lr=0.069160 Epoch[094] Batch [2699]/[3760] Speed: 119.455368 samples/sec accuracy=38.554977 loss=2.738978 lr=0.069148 Epoch[094] Batch [2749]/[3760] Speed: 119.306718 samples/sec accuracy=38.530114 loss=2.739359 lr=0.069136 Epoch[094] Batch [2799]/[3760] Speed: 119.319174 samples/sec accuracy=38.526786 loss=2.738925 lr=0.069124 Epoch[094] Batch [2849]/[3760] Speed: 119.097266 samples/sec accuracy=38.514254 loss=2.739280 lr=0.069112 Epoch[094] Batch [2899]/[3760] Speed: 118.748565 samples/sec accuracy=38.517241 loss=2.738954 lr=0.069100 Epoch[094] Batch [2949]/[3760] Speed: 118.850036 samples/sec accuracy=38.524894 loss=2.738159 lr=0.069088 Epoch[094] Batch [2999]/[3760] Speed: 119.929257 samples/sec accuracy=38.502083 loss=2.739192 lr=0.069076 Epoch[094] Batch [3049]/[3760] Speed: 118.824073 samples/sec accuracy=38.520492 loss=2.738421 lr=0.069065 Epoch[094] Batch [3099]/[3760] Speed: 118.802475 samples/sec accuracy=38.496472 loss=2.738837 lr=0.069053 Epoch[094] Batch [3149]/[3760] Speed: 119.651196 samples/sec accuracy=38.482143 loss=2.739935 lr=0.069041 Epoch[094] Batch [3199]/[3760] Speed: 118.959450 samples/sec accuracy=38.476562 loss=2.740276 lr=0.069029 Epoch[094] Batch [3249]/[3760] Speed: 119.084627 samples/sec accuracy=38.473558 loss=2.740741 lr=0.069017 Epoch[094] Batch [3299]/[3760] Speed: 118.758515 samples/sec accuracy=38.485322 loss=2.740238 lr=0.069005 Epoch[094] Batch [3349]/[3760] Speed: 119.284607 samples/sec accuracy=38.491604 loss=2.740471 lr=0.068993 Epoch[094] Batch [3399]/[3760] Speed: 119.190807 samples/sec accuracy=38.482077 loss=2.741335 lr=0.068981 Epoch[094] Batch [3449]/[3760] Speed: 117.947922 samples/sec accuracy=38.466486 loss=2.742134 lr=0.068969 Epoch[094] Batch [3499]/[3760] Speed: 118.968306 samples/sec accuracy=38.474107 loss=2.742380 lr=0.068957 Epoch[094] Batch [3549]/[3760] Speed: 118.560563 samples/sec accuracy=38.477553 loss=2.742189 lr=0.068945 Epoch[094] Batch [3599]/[3760] Speed: 119.265866 samples/sec accuracy=38.457899 loss=2.743040 lr=0.068933 Epoch[094] Batch [3649]/[3760] Speed: 118.354424 samples/sec accuracy=38.438356 loss=2.744341 lr=0.068921 Epoch[094] Batch [3699]/[3760] Speed: 118.665034 samples/sec accuracy=38.453125 loss=2.744243 lr=0.068909 Epoch[094] Batch [3749]/[3760] Speed: 123.063661 samples/sec accuracy=38.458750 loss=2.743759 lr=0.068897 Batch [0049]/[0303]: acc-top1=36.937500 acc-top5=64.187500 Batch [0099]/[0303]: acc-top1=35.531250 acc-top5=62.796875 Batch [0149]/[0303]: acc-top1=37.156250 acc-top5=63.520833 Batch [0199]/[0303]: acc-top1=39.851562 acc-top5=65.570312 Batch [0249]/[0303]: acc-top1=39.175000 acc-top5=65.193750 Batch [0299]/[0303]: acc-top1=38.380208 acc-top5=65.567708 [Epoch 094] training: accuracy=38.464927 loss=2.743531 [Epoch 094] speed: 118 samples/sec time cost: 2144.823134 [Epoch 094] validation: acc-top1=38.397277 acc-top5=65.614686 loss=2.927261 Epoch[095] Batch [0049]/[3760] Speed: 87.998616 samples/sec accuracy=39.125000 loss=2.715970 lr=0.068883 Epoch[095] Batch [0099]/[3760] Speed: 120.272290 samples/sec accuracy=38.750000 loss=2.721703 lr=0.068871 Epoch[095] Batch [0149]/[3760] Speed: 119.601443 samples/sec accuracy=38.802083 loss=2.714874 lr=0.068859 Epoch[095] Batch [0199]/[3760] Speed: 119.799567 samples/sec accuracy=38.890625 loss=2.711635 lr=0.068847 Epoch[095] Batch [0249]/[3760] Speed: 119.519333 samples/sec accuracy=38.837500 loss=2.719674 lr=0.068835 Epoch[095] Batch [0299]/[3760] Speed: 119.830078 samples/sec accuracy=38.786458 loss=2.713773 lr=0.068823 Epoch[095] Batch [0349]/[3760] Speed: 120.581148 samples/sec accuracy=38.678571 loss=2.711580 lr=0.068811 Epoch[095] Batch [0399]/[3760] Speed: 118.570111 samples/sec accuracy=38.609375 loss=2.716077 lr=0.068800 Epoch[095] Batch [0449]/[3760] Speed: 119.051069 samples/sec accuracy=38.673611 loss=2.710366 lr=0.068788 Epoch[095] Batch [0499]/[3760] Speed: 118.970842 samples/sec accuracy=38.625000 loss=2.713737 lr=0.068776 Epoch[095] Batch [0549]/[3760] Speed: 119.949955 samples/sec accuracy=38.758523 loss=2.708594 lr=0.068764 Epoch[095] Batch [0599]/[3760] Speed: 119.395790 samples/sec accuracy=38.601562 loss=2.718700 lr=0.068752 Epoch[095] Batch [0649]/[3760] Speed: 119.386909 samples/sec accuracy=38.730769 loss=2.718351 lr=0.068740 Epoch[095] Batch [0699]/[3760] Speed: 119.060284 samples/sec accuracy=38.720982 loss=2.724208 lr=0.068728 Epoch[095] Batch [0749]/[3760] Speed: 118.909313 samples/sec accuracy=38.756250 loss=2.727784 lr=0.068716 Epoch[095] Batch [0799]/[3760] Speed: 119.179763 samples/sec accuracy=38.765625 loss=2.724284 lr=0.068704 Epoch[095] Batch [0849]/[3760] Speed: 119.553912 samples/sec accuracy=38.821691 loss=2.722819 lr=0.068692 Epoch[095] Batch [0899]/[3760] Speed: 119.947281 samples/sec accuracy=38.892361 loss=2.720369 lr=0.068680 Epoch[095] Batch [0949]/[3760] Speed: 118.943412 samples/sec accuracy=38.868421 loss=2.719576 lr=0.068668 Epoch[095] Batch [0999]/[3760] Speed: 118.956740 samples/sec accuracy=38.925000 loss=2.719414 lr=0.068656 Epoch[095] Batch [1049]/[3760] Speed: 118.852484 samples/sec accuracy=38.910714 loss=2.720957 lr=0.068644 Epoch[095] Batch [1099]/[3760] Speed: 118.435872 samples/sec accuracy=38.877841 loss=2.724142 lr=0.068632 Epoch[095] Batch [1149]/[3760] Speed: 119.348792 samples/sec accuracy=38.884511 loss=2.724346 lr=0.068620 Epoch[095] Batch [1199]/[3760] Speed: 119.949328 samples/sec accuracy=38.821615 loss=2.725826 lr=0.068608 Epoch[095] Batch [1249]/[3760] Speed: 120.020488 samples/sec accuracy=38.810000 loss=2.726478 lr=0.068596 Epoch[095] Batch [1299]/[3760] Speed: 118.342178 samples/sec accuracy=38.812500 loss=2.727913 lr=0.068584 Epoch[095] Batch [1349]/[3760] Speed: 119.192928 samples/sec accuracy=38.789352 loss=2.728459 lr=0.068572 Epoch[095] Batch [1399]/[3760] Speed: 119.268039 samples/sec accuracy=38.772321 loss=2.727398 lr=0.068560 Epoch[095] Batch [1449]/[3760] Speed: 119.341010 samples/sec accuracy=38.783405 loss=2.727820 lr=0.068548 Epoch[095] Batch [1499]/[3760] Speed: 119.543728 samples/sec accuracy=38.802083 loss=2.727284 lr=0.068536 Epoch[095] Batch [1549]/[3760] Speed: 119.258137 samples/sec accuracy=38.797379 loss=2.726393 lr=0.068524 Epoch[095] Batch [1599]/[3760] Speed: 118.681886 samples/sec accuracy=38.805664 loss=2.726021 lr=0.068512 Epoch[095] Batch [1649]/[3760] Speed: 118.985935 samples/sec accuracy=38.800189 loss=2.727264 lr=0.068500 Epoch[095] Batch [1699]/[3760] Speed: 119.206554 samples/sec accuracy=38.790441 loss=2.727463 lr=0.068488 Epoch[095] Batch [1749]/[3760] Speed: 119.300414 samples/sec accuracy=38.759821 loss=2.727185 lr=0.068476 Epoch[095] Batch [1799]/[3760] Speed: 119.819123 samples/sec accuracy=38.714410 loss=2.730118 lr=0.068464 Epoch[095] Batch [1849]/[3760] Speed: 119.013147 samples/sec accuracy=38.685811 loss=2.730904 lr=0.068452 Epoch[095] Batch [1899]/[3760] Speed: 119.823553 samples/sec accuracy=38.709704 loss=2.729890 lr=0.068440 Epoch[095] Batch [1949]/[3760] Speed: 120.186765 samples/sec accuracy=38.688301 loss=2.731139 lr=0.068428 Epoch[095] Batch [1999]/[3760] Speed: 119.885791 samples/sec accuracy=38.645313 loss=2.731802 lr=0.068416 Epoch[095] Batch [2049]/[3760] Speed: 119.067468 samples/sec accuracy=38.631098 loss=2.733516 lr=0.068404 Epoch[095] Batch [2099]/[3760] Speed: 119.168868 samples/sec accuracy=38.604167 loss=2.734781 lr=0.068392 Epoch[095] Batch [2149]/[3760] Speed: 119.730404 samples/sec accuracy=38.590116 loss=2.734476 lr=0.068380 Epoch[095] Batch [2199]/[3760] Speed: 117.860098 samples/sec accuracy=38.571023 loss=2.735026 lr=0.068368 Epoch[095] Batch [2249]/[3760] Speed: 120.043825 samples/sec accuracy=38.565278 loss=2.735299 lr=0.068356 Epoch[095] Batch [2299]/[3760] Speed: 118.523486 samples/sec accuracy=38.566576 loss=2.735079 lr=0.068344 Epoch[095] Batch [2349]/[3760] Speed: 119.250540 samples/sec accuracy=38.589761 loss=2.734835 lr=0.068332 Epoch[095] Batch [2399]/[3760] Speed: 118.855143 samples/sec accuracy=38.613932 loss=2.734645 lr=0.068320 Epoch[095] Batch [2449]/[3760] Speed: 119.339484 samples/sec accuracy=38.640944 loss=2.733528 lr=0.068308 Epoch[095] Batch [2499]/[3760] Speed: 119.823481 samples/sec accuracy=38.663750 loss=2.732865 lr=0.068296 Epoch[095] Batch [2549]/[3760] Speed: 119.982805 samples/sec accuracy=38.675858 loss=2.732198 lr=0.068284 Epoch[095] Batch [2599]/[3760] Speed: 119.291961 samples/sec accuracy=38.662260 loss=2.732623 lr=0.068272 Epoch[095] Batch [2649]/[3760] Speed: 119.506390 samples/sec accuracy=38.647406 loss=2.733674 lr=0.068260 Epoch[095] Batch [2699]/[3760] Speed: 119.089193 samples/sec accuracy=38.639468 loss=2.734411 lr=0.068248 Epoch[095] Batch [2749]/[3760] Speed: 120.077994 samples/sec accuracy=38.633523 loss=2.734704 lr=0.068236 Epoch[095] Batch [2799]/[3760] Speed: 118.968477 samples/sec accuracy=38.642857 loss=2.734265 lr=0.068224 Epoch[095] Batch [2849]/[3760] Speed: 118.917516 samples/sec accuracy=38.659539 loss=2.733771 lr=0.068212 Epoch[095] Batch [2899]/[3760] Speed: 119.378662 samples/sec accuracy=38.655711 loss=2.734004 lr=0.068200 Epoch[095] Batch [2949]/[3760] Speed: 119.646961 samples/sec accuracy=38.635064 loss=2.735409 lr=0.068188 Epoch[095] Batch [2999]/[3760] Speed: 117.977073 samples/sec accuracy=38.622396 loss=2.736482 lr=0.068176 Epoch[095] Batch [3049]/[3760] Speed: 119.275485 samples/sec accuracy=38.593750 loss=2.737284 lr=0.068164 Epoch[095] Batch [3099]/[3760] Speed: 119.765152 samples/sec accuracy=38.580645 loss=2.737609 lr=0.068152 Epoch[095] Batch [3149]/[3760] Speed: 119.455151 samples/sec accuracy=38.562996 loss=2.737931 lr=0.068140 Epoch[095] Batch [3199]/[3760] Speed: 119.419137 samples/sec accuracy=38.557617 loss=2.738266 lr=0.068128 Epoch[095] Batch [3249]/[3760] Speed: 119.500937 samples/sec accuracy=38.570673 loss=2.738049 lr=0.068116 Epoch[095] Batch [3299]/[3760] Speed: 118.866143 samples/sec accuracy=38.568655 loss=2.737890 lr=0.068104 Epoch[095] Batch [3349]/[3760] Speed: 117.837517 samples/sec accuracy=38.558302 loss=2.738007 lr=0.068092 Epoch[095] Batch [3399]/[3760] Speed: 118.701602 samples/sec accuracy=38.531710 loss=2.739268 lr=0.068080 Epoch[095] Batch [3449]/[3760] Speed: 118.455422 samples/sec accuracy=38.524004 loss=2.739487 lr=0.068068 Epoch[095] Batch [3499]/[3760] Speed: 119.722457 samples/sec accuracy=38.512946 loss=2.739412 lr=0.068056 Epoch[095] Batch [3549]/[3760] Speed: 120.226920 samples/sec accuracy=38.505722 loss=2.738960 lr=0.068044 Epoch[095] Batch [3599]/[3760] Speed: 119.518931 samples/sec accuracy=38.511719 loss=2.738702 lr=0.068032 Epoch[095] Batch [3649]/[3760] Speed: 117.965039 samples/sec accuracy=38.516267 loss=2.738197 lr=0.068020 Epoch[095] Batch [3699]/[3760] Speed: 119.042226 samples/sec accuracy=38.510980 loss=2.738864 lr=0.068008 Epoch[095] Batch [3749]/[3760] Speed: 122.762786 samples/sec accuracy=38.518333 loss=2.738396 lr=0.067996 Batch [0049]/[0303]: acc-top1=38.968750 acc-top5=64.281250 Batch [0099]/[0303]: acc-top1=35.468750 acc-top5=61.437500 Batch [0149]/[0303]: acc-top1=37.333333 acc-top5=63.708333 Batch [0199]/[0303]: acc-top1=39.929688 acc-top5=65.609375 Batch [0249]/[0303]: acc-top1=39.631250 acc-top5=66.050000 Batch [0299]/[0303]: acc-top1=39.421875 acc-top5=66.197917 [Epoch 095] training: accuracy=38.526014 loss=2.738168 [Epoch 095] speed: 118 samples/sec time cost: 2143.172528 [Epoch 095] validation: acc-top1=39.433787 acc-top5=66.218028 loss=2.909353 Epoch[096] Batch [0049]/[3759] Speed: 88.480672 samples/sec accuracy=39.250000 loss=2.672540 lr=0.067982 Epoch[096] Batch [0099]/[3759] Speed: 117.912826 samples/sec accuracy=38.921875 loss=2.687574 lr=0.067970 Epoch[096] Batch [0149]/[3759] Speed: 119.282625 samples/sec accuracy=39.281250 loss=2.678686 lr=0.067958 Epoch[096] Batch [0199]/[3759] Speed: 119.472130 samples/sec accuracy=39.531250 loss=2.676531 lr=0.067945 Epoch[096] Batch [0249]/[3759] Speed: 119.796355 samples/sec accuracy=39.862500 loss=2.665471 lr=0.067933 Epoch[096] Batch [0299]/[3759] Speed: 119.779975 samples/sec accuracy=39.833333 loss=2.671697 lr=0.067921 Epoch[096] Batch [0349]/[3759] Speed: 118.565421 samples/sec accuracy=39.732143 loss=2.673404 lr=0.067909 Epoch[096] Batch [0399]/[3759] Speed: 118.528562 samples/sec accuracy=39.882812 loss=2.676524 lr=0.067897 Epoch[096] Batch [0449]/[3759] Speed: 119.666028 samples/sec accuracy=39.760417 loss=2.681782 lr=0.067885 Epoch[096] Batch [0499]/[3759] Speed: 118.683999 samples/sec accuracy=39.584375 loss=2.688686 lr=0.067873 Epoch[096] Batch [0549]/[3759] Speed: 119.029277 samples/sec accuracy=39.494318 loss=2.696198 lr=0.067861 Epoch[096] Batch [0599]/[3759] Speed: 119.559532 samples/sec accuracy=39.513021 loss=2.696284 lr=0.067849 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accuracy=38.961875 loss=2.721351 lr=0.067390 Epoch[096] Batch [2549]/[3759] Speed: 118.839098 samples/sec accuracy=38.941176 loss=2.721701 lr=0.067378 Epoch[096] Batch [2599]/[3759] Speed: 119.185453 samples/sec accuracy=38.956731 loss=2.721633 lr=0.067366 Epoch[096] Batch [2649]/[3759] Speed: 119.271165 samples/sec accuracy=38.953420 loss=2.721319 lr=0.067354 Epoch[096] Batch [2699]/[3759] Speed: 118.650251 samples/sec accuracy=38.943287 loss=2.721531 lr=0.067342 Epoch[096] Batch [2749]/[3759] Speed: 119.287335 samples/sec accuracy=38.935795 loss=2.721380 lr=0.067330 Epoch[096] Batch [2799]/[3759] Speed: 119.271969 samples/sec accuracy=38.928013 loss=2.720968 lr=0.067318 Epoch[096] Batch [2849]/[3759] Speed: 118.497268 samples/sec accuracy=38.905154 loss=2.721426 lr=0.067306 Epoch[096] Batch [2899]/[3759] Speed: 119.580605 samples/sec accuracy=38.908944 loss=2.721736 lr=0.067294 Epoch[096] Batch [2949]/[3759] Speed: 119.312070 samples/sec accuracy=38.893008 loss=2.722334 lr=0.067282 Epoch[096] Batch [2999]/[3759] Speed: 118.839870 samples/sec accuracy=38.892187 loss=2.721775 lr=0.067270 Epoch[096] Batch [3049]/[3759] Speed: 118.719499 samples/sec accuracy=38.878074 loss=2.721512 lr=0.067257 Epoch[096] Batch [3099]/[3759] Speed: 119.643672 samples/sec accuracy=38.865927 loss=2.722211 lr=0.067245 Epoch[096] Batch [3149]/[3759] Speed: 119.264588 samples/sec accuracy=38.854663 loss=2.723018 lr=0.067233 Epoch[096] Batch [3199]/[3759] Speed: 119.082710 samples/sec accuracy=38.821289 loss=2.724169 lr=0.067221 Epoch[096] Batch [3249]/[3759] Speed: 119.791525 samples/sec accuracy=38.833654 loss=2.723604 lr=0.067209 Epoch[096] Batch [3299]/[3759] Speed: 119.693094 samples/sec accuracy=38.827652 loss=2.724431 lr=0.067197 Epoch[096] Batch [3349]/[3759] Speed: 118.833240 samples/sec accuracy=38.824160 loss=2.724809 lr=0.067185 Epoch[096] Batch [3399]/[3759] Speed: 119.835930 samples/sec accuracy=38.813419 loss=2.725227 lr=0.067173 Epoch[096] Batch [3449]/[3759] Speed: 118.998044 samples/sec accuracy=38.802989 loss=2.725451 lr=0.067161 Epoch[096] Batch [3499]/[3759] Speed: 119.211796 samples/sec accuracy=38.775446 loss=2.726407 lr=0.067148 Epoch[096] Batch [3549]/[3759] Speed: 118.353191 samples/sec accuracy=38.772887 loss=2.725739 lr=0.067136 Epoch[096] Batch [3599]/[3759] Speed: 119.483735 samples/sec accuracy=38.782552 loss=2.725726 lr=0.067124 Epoch[096] Batch [3649]/[3759] Speed: 119.321183 samples/sec accuracy=38.780822 loss=2.725869 lr=0.067112 Epoch[096] Batch [3699]/[3759] Speed: 119.861770 samples/sec accuracy=38.788851 loss=2.725964 lr=0.067100 Epoch[096] Batch [3749]/[3759] Speed: 124.285303 samples/sec accuracy=38.782083 loss=2.726739 lr=0.067088 Batch [0049]/[0303]: acc-top1=39.031250 acc-top5=65.718750 Batch [0099]/[0303]: acc-top1=36.031250 acc-top5=63.890625 Batch [0149]/[0303]: acc-top1=37.520833 acc-top5=65.416667 Batch [0199]/[0303]: acc-top1=40.218750 acc-top5=67.523438 Batch [0249]/[0303]: acc-top1=39.875000 acc-top5=67.481250 Batch [0299]/[0303]: acc-top1=39.723958 acc-top5=67.484375 [Epoch 096] training: accuracy=38.772363 loss=2.727017 [Epoch 096] speed: 118 samples/sec time cost: 2143.896328 [Epoch 096] validation: acc-top1=39.593647 acc-top5=67.435025 loss=2.871184 Epoch[097] Batch [0049]/[3760] Speed: 87.315821 samples/sec accuracy=39.156250 loss=2.700185 lr=0.067074 Epoch[097] Batch [0099]/[3760] Speed: 119.249779 samples/sec accuracy=39.890625 loss=2.652679 lr=0.067061 Epoch[097] Batch [0149]/[3760] Speed: 119.571092 samples/sec accuracy=39.604167 loss=2.668019 lr=0.067049 Epoch[097] Batch [0199]/[3760] Speed: 118.973886 samples/sec accuracy=39.687500 loss=2.668234 lr=0.067037 Epoch[097] Batch [0249]/[3760] Speed: 119.015878 samples/sec accuracy=39.600000 loss=2.664468 lr=0.067025 Epoch[097] Batch [0299]/[3760] Speed: 119.130319 samples/sec accuracy=39.458333 loss=2.664712 lr=0.067013 Epoch[097] Batch [0349]/[3760] Speed: 119.231082 samples/sec accuracy=39.424107 loss=2.664266 lr=0.067001 Epoch[097] 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lr=0.066770 Epoch[097] Batch [1349]/[3760] Speed: 119.895534 samples/sec accuracy=39.039352 loss=2.699322 lr=0.066758 Epoch[097] Batch [1399]/[3760] Speed: 119.317834 samples/sec accuracy=39.043527 loss=2.701202 lr=0.066746 Epoch[097] Batch [1449]/[3760] Speed: 119.379310 samples/sec accuracy=39.010776 loss=2.703112 lr=0.066734 Epoch[097] Batch [1499]/[3760] Speed: 117.603544 samples/sec accuracy=38.977083 loss=2.705217 lr=0.066722 Epoch[097] Batch [1549]/[3760] Speed: 119.699146 samples/sec accuracy=38.942540 loss=2.707742 lr=0.066709 Epoch[097] Batch [1599]/[3760] Speed: 119.497976 samples/sec accuracy=38.905273 loss=2.708351 lr=0.066697 Epoch[097] Batch [1649]/[3760] Speed: 119.157811 samples/sec accuracy=38.909091 loss=2.708976 lr=0.066685 Epoch[097] Batch [1699]/[3760] Speed: 119.713704 samples/sec accuracy=38.861213 loss=2.711863 lr=0.066673 Epoch[097] Batch [1749]/[3760] Speed: 118.862177 samples/sec accuracy=38.912500 loss=2.711357 lr=0.066661 Epoch[097] Batch [1799]/[3760] 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accuracy=38.874306 loss=2.716161 lr=0.066539 Epoch[097] Batch [2299]/[3760] Speed: 119.372370 samples/sec accuracy=38.879755 loss=2.716628 lr=0.066527 Epoch[097] Batch [2349]/[3760] Speed: 118.359205 samples/sec accuracy=38.890293 loss=2.716449 lr=0.066515 Epoch[097] Batch [2399]/[3760] Speed: 118.450760 samples/sec accuracy=38.847656 loss=2.717900 lr=0.066503 Epoch[097] Batch [2449]/[3760] Speed: 119.223952 samples/sec accuracy=38.827806 loss=2.718095 lr=0.066490 Epoch[097] Batch [2499]/[3760] Speed: 119.504404 samples/sec accuracy=38.838750 loss=2.718579 lr=0.066478 Epoch[097] Batch [2549]/[3760] Speed: 119.514627 samples/sec accuracy=38.838235 loss=2.719067 lr=0.066466 Epoch[097] Batch [2599]/[3760] Speed: 120.024100 samples/sec accuracy=38.835938 loss=2.718935 lr=0.066454 Epoch[097] Batch [2649]/[3760] Speed: 118.580930 samples/sec accuracy=38.835495 loss=2.719011 lr=0.066442 Epoch[097] Batch [2699]/[3760] Speed: 119.503042 samples/sec accuracy=38.822917 loss=2.720388 lr=0.066429 Epoch[097] Batch [2749]/[3760] Speed: 118.940742 samples/sec accuracy=38.830114 loss=2.720333 lr=0.066417 Epoch[097] Batch [2799]/[3760] Speed: 119.185573 samples/sec accuracy=38.840402 loss=2.719318 lr=0.066405 Epoch[097] Batch [2849]/[3760] Speed: 119.403683 samples/sec accuracy=38.830044 loss=2.720154 lr=0.066393 Epoch[097] Batch [2899]/[3760] Speed: 119.046419 samples/sec accuracy=38.839978 loss=2.719978 lr=0.066381 Epoch[097] Batch [2949]/[3760] Speed: 119.223778 samples/sec accuracy=38.848517 loss=2.719782 lr=0.066369 Epoch[097] Batch [2999]/[3760] Speed: 119.480454 samples/sec accuracy=38.859896 loss=2.719615 lr=0.066356 Epoch[097] Batch [3049]/[3760] Speed: 119.856953 samples/sec accuracy=38.823770 loss=2.721148 lr=0.066344 Epoch[097] Batch [3099]/[3760] Speed: 118.617609 samples/sec accuracy=38.833165 loss=2.720638 lr=0.066332 Epoch[097] Batch [3149]/[3760] Speed: 118.953803 samples/sec accuracy=38.853671 loss=2.719644 lr=0.066320 Epoch[097] Batch [3199]/[3760] Speed: 119.033243 samples/sec accuracy=38.859375 loss=2.719632 lr=0.066308 Epoch[097] Batch [3249]/[3760] Speed: 117.759938 samples/sec accuracy=38.846635 loss=2.720186 lr=0.066295 Epoch[097] Batch [3299]/[3760] Speed: 119.458664 samples/sec accuracy=38.845644 loss=2.720340 lr=0.066283 Epoch[097] Batch [3349]/[3760] Speed: 118.860931 samples/sec accuracy=38.857743 loss=2.720328 lr=0.066271 Epoch[097] Batch [3399]/[3760] Speed: 119.353170 samples/sec accuracy=38.850184 loss=2.720394 lr=0.066259 Epoch[097] Batch [3449]/[3760] Speed: 119.045056 samples/sec accuracy=38.856431 loss=2.720405 lr=0.066247 Epoch[097] Batch [3499]/[3760] Speed: 118.852090 samples/sec accuracy=38.863393 loss=2.719591 lr=0.066234 Epoch[097] Batch [3549]/[3760] Speed: 119.542858 samples/sec accuracy=38.874120 loss=2.719488 lr=0.066222 Epoch[097] Batch [3599]/[3760] Speed: 119.361289 samples/sec accuracy=38.878906 loss=2.720172 lr=0.066210 Epoch[097] Batch [3649]/[3760] Speed: 118.859806 samples/sec accuracy=38.869435 loss=2.720674 lr=0.066198 Epoch[097] Batch [3699]/[3760] Speed: 119.495009 samples/sec accuracy=38.887669 loss=2.720335 lr=0.066186 Epoch[097] Batch [3749]/[3760] Speed: 123.168354 samples/sec accuracy=38.895000 loss=2.720407 lr=0.066173 Batch [0049]/[0303]: acc-top1=40.156250 acc-top5=64.687500 Batch [0099]/[0303]: acc-top1=36.234375 acc-top5=62.078125 Batch [0149]/[0303]: acc-top1=38.083333 acc-top5=63.968750 Batch [0199]/[0303]: acc-top1=40.765625 acc-top5=66.039062 Batch [0249]/[0303]: acc-top1=39.681250 acc-top5=66.006250 Batch [0299]/[0303]: acc-top1=39.072917 acc-top5=65.901042 [Epoch 097] training: accuracy=38.892952 loss=2.720677 [Epoch 097] speed: 118 samples/sec time cost: 2142.469063 [Epoch 097] validation: acc-top1=39.041873 acc-top5=65.960190 loss=2.873053 Epoch[098] Batch [0049]/[3759] Speed: 88.873808 samples/sec accuracy=40.000000 loss=2.639910 lr=0.066159 Epoch[098] Batch [0099]/[3759] Speed: 120.221409 samples/sec accuracy=39.984375 loss=2.653078 lr=0.066147 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loss=2.692350 lr=0.065914 Epoch[098] Batch [1099]/[3759] Speed: 119.774501 samples/sec accuracy=39.272727 loss=2.693675 lr=0.065902 Epoch[098] Batch [1149]/[3759] Speed: 119.077246 samples/sec accuracy=39.275815 loss=2.692696 lr=0.065890 Epoch[098] Batch [1199]/[3759] Speed: 120.474022 samples/sec accuracy=39.269531 loss=2.692633 lr=0.065878 Epoch[098] Batch [1249]/[3759] Speed: 119.804431 samples/sec accuracy=39.193750 loss=2.696529 lr=0.065866 Epoch[098] Batch [1299]/[3759] Speed: 119.441158 samples/sec accuracy=39.203125 loss=2.697368 lr=0.065853 Epoch[098] Batch [1349]/[3759] Speed: 119.873687 samples/sec accuracy=39.197917 loss=2.698557 lr=0.065841 Epoch[098] Batch [1399]/[3759] Speed: 119.594452 samples/sec accuracy=39.215402 loss=2.696552 lr=0.065829 Epoch[098] Batch [1449]/[3759] Speed: 119.579026 samples/sec accuracy=39.196121 loss=2.697010 lr=0.065817 Epoch[098] Batch [1499]/[3759] Speed: 119.855203 samples/sec accuracy=39.193750 loss=2.696452 lr=0.065804 Epoch[098] Batch 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accuracy=39.097656 loss=2.699256 lr=0.065682 Epoch[098] Batch [2049]/[3759] Speed: 118.603759 samples/sec accuracy=39.115854 loss=2.699369 lr=0.065670 Epoch[098] Batch [2099]/[3759] Speed: 119.340844 samples/sec accuracy=39.125000 loss=2.698849 lr=0.065657 Epoch[098] Batch [2149]/[3759] Speed: 118.648457 samples/sec accuracy=39.134448 loss=2.699259 lr=0.065645 Epoch[098] Batch [2199]/[3759] Speed: 118.766927 samples/sec accuracy=39.104403 loss=2.699894 lr=0.065633 Epoch[098] Batch [2249]/[3759] Speed: 119.317828 samples/sec accuracy=39.118056 loss=2.699561 lr=0.065621 Epoch[098] Batch [2299]/[3759] Speed: 119.404804 samples/sec accuracy=39.139946 loss=2.699680 lr=0.065608 Epoch[098] Batch [2349]/[3759] Speed: 118.666751 samples/sec accuracy=39.174867 loss=2.698841 lr=0.065596 Epoch[098] Batch [2399]/[3759] Speed: 119.578287 samples/sec accuracy=39.151693 loss=2.700236 lr=0.065584 Epoch[098] Batch [2449]/[3759] Speed: 119.817464 samples/sec accuracy=39.179847 loss=2.699452 lr=0.065572 Epoch[098] Batch [2499]/[3759] Speed: 118.739117 samples/sec accuracy=39.192500 loss=2.699686 lr=0.065559 Epoch[098] Batch [2549]/[3759] Speed: 119.641287 samples/sec accuracy=39.183824 loss=2.700505 lr=0.065547 Epoch[098] Batch [2599]/[3759] Speed: 119.580512 samples/sec accuracy=39.164663 loss=2.701472 lr=0.065535 Epoch[098] Batch [2649]/[3759] Speed: 118.387756 samples/sec accuracy=39.167453 loss=2.702199 lr=0.065523 Epoch[098] Batch [2699]/[3759] Speed: 119.764420 samples/sec accuracy=39.167824 loss=2.701821 lr=0.065510 Epoch[098] Batch [2749]/[3759] Speed: 119.807767 samples/sec accuracy=39.161364 loss=2.703403 lr=0.065498 Epoch[098] Batch [2799]/[3759] Speed: 120.009519 samples/sec accuracy=39.174665 loss=2.703369 lr=0.065486 Epoch[098] Batch [2849]/[3759] Speed: 119.155543 samples/sec accuracy=39.165022 loss=2.704423 lr=0.065474 Epoch[098] Batch [2899]/[3759] Speed: 117.906605 samples/sec accuracy=39.172414 loss=2.704030 lr=0.065461 Epoch[098] Batch [2949]/[3759] Speed: 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loss=2.705244 lr=0.065339 Epoch[098] Batch [3449]/[3759] Speed: 119.397365 samples/sec accuracy=39.159873 loss=2.705896 lr=0.065326 Epoch[098] Batch [3499]/[3759] Speed: 119.648523 samples/sec accuracy=39.173214 loss=2.705274 lr=0.065314 Epoch[098] Batch [3549]/[3759] Speed: 119.533088 samples/sec accuracy=39.151849 loss=2.706232 lr=0.065302 Epoch[098] Batch [3599]/[3759] Speed: 119.585900 samples/sec accuracy=39.146267 loss=2.706035 lr=0.065290 Epoch[098] Batch [3649]/[3759] Speed: 119.798815 samples/sec accuracy=39.123716 loss=2.706046 lr=0.065277 Epoch[098] Batch [3699]/[3759] Speed: 119.580798 samples/sec accuracy=39.112331 loss=2.706232 lr=0.065265 Epoch[098] Batch [3749]/[3759] Speed: 123.158959 samples/sec accuracy=39.121250 loss=2.706027 lr=0.065253 Batch [0049]/[0303]: acc-top1=38.375000 acc-top5=64.687500 Batch [0099]/[0303]: acc-top1=35.531250 acc-top5=62.281250 Batch [0149]/[0303]: acc-top1=38.250000 acc-top5=64.541667 Batch [0199]/[0303]: acc-top1=40.867188 acc-top5=66.500000 Batch [0249]/[0303]: acc-top1=39.868750 acc-top5=66.125000 Batch [0299]/[0303]: acc-top1=39.062500 acc-top5=66.229167 [Epoch 098] training: accuracy=39.120694 loss=2.706215 [Epoch 098] speed: 118 samples/sec time cost: 2140.557626 [Epoch 098] validation: acc-top1=39.041873 acc-top5=66.233498 loss=2.910962 Epoch[099] Batch [0049]/[3760] Speed: 87.662162 samples/sec accuracy=40.843750 loss=2.695363 lr=0.065238 Epoch[099] Batch [0099]/[3760] Speed: 118.682082 samples/sec accuracy=40.062500 loss=2.680908 lr=0.065226 Epoch[099] Batch [0149]/[3760] Speed: 119.988268 samples/sec accuracy=40.125000 loss=2.667276 lr=0.065214 Epoch[099] Batch [0199]/[3760] Speed: 119.639778 samples/sec accuracy=39.851562 loss=2.664584 lr=0.065201 Epoch[099] Batch [0249]/[3760] Speed: 119.045511 samples/sec accuracy=39.687500 loss=2.670794 lr=0.065189 Epoch[099] Batch [0299]/[3760] Speed: 120.078546 samples/sec accuracy=39.562500 loss=2.673748 lr=0.065177 Epoch[099] Batch [0349]/[3760] Speed: 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loss=2.689848 lr=0.065054 Epoch[099] Batch [0849]/[3760] Speed: 119.012681 samples/sec accuracy=39.205882 loss=2.690578 lr=0.065042 Epoch[099] Batch [0899]/[3760] Speed: 119.480397 samples/sec accuracy=39.335069 loss=2.685307 lr=0.065029 Epoch[099] Batch [0949]/[3760] Speed: 118.287944 samples/sec accuracy=39.335526 loss=2.684106 lr=0.065017 Epoch[099] Batch [0999]/[3760] Speed: 118.757379 samples/sec accuracy=39.320312 loss=2.683644 lr=0.065005 Epoch[099] Batch [1049]/[3760] Speed: 118.900959 samples/sec accuracy=39.339286 loss=2.684293 lr=0.064992 Epoch[099] Batch [1099]/[3760] Speed: 119.597765 samples/sec accuracy=39.305398 loss=2.686254 lr=0.064980 Epoch[099] Batch [1149]/[3760] Speed: 118.544728 samples/sec accuracy=39.350543 loss=2.685472 lr=0.064968 Epoch[099] Batch [1199]/[3760] Speed: 120.059612 samples/sec accuracy=39.395833 loss=2.683942 lr=0.064955 Epoch[099] Batch [1249]/[3760] Speed: 119.251224 samples/sec accuracy=39.372500 loss=2.685832 lr=0.064943 Epoch[099] Batch 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accuracy=39.428571 loss=2.686656 lr=0.064820 Epoch[099] Batch [1799]/[3760] Speed: 118.091589 samples/sec accuracy=39.457465 loss=2.686531 lr=0.064808 Epoch[099] Batch [1849]/[3760] Speed: 119.797987 samples/sec accuracy=39.443412 loss=2.687911 lr=0.064795 Epoch[099] Batch [1899]/[3760] Speed: 119.069872 samples/sec accuracy=39.451480 loss=2.686842 lr=0.064783 Epoch[099] Batch [1949]/[3760] Speed: 119.227901 samples/sec accuracy=39.462340 loss=2.686503 lr=0.064771 Epoch[099] Batch [1999]/[3760] Speed: 119.845921 samples/sec accuracy=39.467188 loss=2.688065 lr=0.064758 Epoch[099] Batch [2049]/[3760] Speed: 119.544530 samples/sec accuracy=39.457317 loss=2.688528 lr=0.064746 Epoch[099] Batch [2099]/[3760] Speed: 119.439148 samples/sec accuracy=39.394345 loss=2.690497 lr=0.064734 Epoch[099] Batch [2149]/[3760] Speed: 119.080838 samples/sec accuracy=39.379360 loss=2.691048 lr=0.064721 Epoch[099] Batch [2199]/[3760] Speed: 120.065839 samples/sec accuracy=39.370739 loss=2.692250 lr=0.064709 Epoch[099] Batch [2249]/[3760] Speed: 119.585818 samples/sec accuracy=39.356944 loss=2.693840 lr=0.064697 Epoch[099] Batch [2299]/[3760] Speed: 119.632381 samples/sec accuracy=39.341033 loss=2.694303 lr=0.064684 Epoch[099] Batch [2349]/[3760] Speed: 118.995460 samples/sec accuracy=39.328457 loss=2.694363 lr=0.064672 Epoch[099] Batch [2399]/[3760] Speed: 119.993089 samples/sec accuracy=39.330078 loss=2.695177 lr=0.064660 Epoch[099] Batch [2449]/[3760] Speed: 119.226383 samples/sec accuracy=39.298469 loss=2.695972 lr=0.064647 Epoch[099] Batch [2499]/[3760] Speed: 119.202612 samples/sec accuracy=39.286250 loss=2.696475 lr=0.064635 Epoch[099] Batch [2549]/[3760] Speed: 119.598237 samples/sec accuracy=39.291667 loss=2.696993 lr=0.064623 Epoch[099] Batch [2599]/[3760] Speed: 119.849361 samples/sec accuracy=39.304087 loss=2.697617 lr=0.064610 Epoch[099] Batch [2649]/[3760] Speed: 119.321909 samples/sec accuracy=39.298939 loss=2.698051 lr=0.064598 Epoch[099] Batch [2699]/[3760] Speed: 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loss=2.697891 lr=0.064475 Epoch[099] Batch [3199]/[3760] Speed: 119.555800 samples/sec accuracy=39.304688 loss=2.697896 lr=0.064462 Epoch[099] Batch [3249]/[3760] Speed: 119.324661 samples/sec accuracy=39.300962 loss=2.698468 lr=0.064450 Epoch[099] Batch [3299]/[3760] Speed: 119.219292 samples/sec accuracy=39.339015 loss=2.697459 lr=0.064438 Epoch[099] Batch [3349]/[3760] Speed: 119.937215 samples/sec accuracy=39.353078 loss=2.696939 lr=0.064425 Epoch[099] Batch [3399]/[3760] Speed: 119.053620 samples/sec accuracy=39.333180 loss=2.697932 lr=0.064413 Epoch[099] Batch [3449]/[3760] Speed: 118.982108 samples/sec accuracy=39.338315 loss=2.697473 lr=0.064401 Epoch[099] Batch [3499]/[3760] Speed: 119.559999 samples/sec accuracy=39.326786 loss=2.698071 lr=0.064388 Epoch[099] Batch [3549]/[3760] Speed: 117.991551 samples/sec accuracy=39.308539 loss=2.698963 lr=0.064376 Epoch[099] Batch [3599]/[3760] Speed: 118.387760 samples/sec accuracy=39.281684 loss=2.699282 lr=0.064364 Epoch[099] Batch [3649]/[3760] Speed: 120.348673 samples/sec accuracy=39.268408 loss=2.699745 lr=0.064351 Epoch[099] Batch [3699]/[3760] Speed: 119.040868 samples/sec accuracy=39.255068 loss=2.700452 lr=0.064339 Epoch[099] Batch [3749]/[3760] Speed: 123.503845 samples/sec accuracy=39.252500 loss=2.700622 lr=0.064326 Batch [0049]/[0303]: acc-top1=39.156250 acc-top5=65.687500 Batch [0099]/[0303]: acc-top1=37.046875 acc-top5=64.453125 Batch [0149]/[0303]: acc-top1=39.031250 acc-top5=65.739583 Batch [0199]/[0303]: acc-top1=41.406250 acc-top5=67.250000 Batch [0249]/[0303]: acc-top1=41.231250 acc-top5=67.100000 Batch [0299]/[0303]: acc-top1=40.708333 acc-top5=67.218750 [Epoch 099] training: accuracy=39.248670 loss=2.700972 [Epoch 099] speed: 118 samples/sec time cost: 2142.809405 [Epoch 099] validation: acc-top1=40.645627 acc-top5=67.197814 loss=2.830991 Epoch[100] Batch [0049]/[3760] Speed: 87.031511 samples/sec accuracy=41.687500 loss=2.658515 lr=0.064312 Epoch[100] Batch [0099]/[3760] Speed: 119.713148 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lr=0.064188 Epoch[100] Batch [0599]/[3760] Speed: 118.847663 samples/sec accuracy=39.533854 loss=2.682333 lr=0.064176 Epoch[100] Batch [0649]/[3760] Speed: 120.277865 samples/sec accuracy=39.528846 loss=2.680081 lr=0.064163 Epoch[100] Batch [0699]/[3760] Speed: 118.454738 samples/sec accuracy=39.520089 loss=2.681248 lr=0.064151 Epoch[100] Batch [0749]/[3760] Speed: 119.295933 samples/sec accuracy=39.489583 loss=2.683481 lr=0.064139 Epoch[100] Batch [0799]/[3760] Speed: 119.445390 samples/sec accuracy=39.400391 loss=2.686742 lr=0.064126 Epoch[100] Batch [0849]/[3760] Speed: 119.695879 samples/sec accuracy=39.413603 loss=2.687294 lr=0.064114 Epoch[100] Batch [0899]/[3760] Speed: 119.314543 samples/sec accuracy=39.380208 loss=2.689342 lr=0.064101 Epoch[100] Batch [0949]/[3760] Speed: 119.132572 samples/sec accuracy=39.337171 loss=2.689339 lr=0.064089 Epoch[100] Batch [0999]/[3760] Speed: 118.882715 samples/sec accuracy=39.357813 loss=2.689182 lr=0.064077 Epoch[100] Batch [1049]/[3760] Speed: 119.705071 samples/sec accuracy=39.375000 loss=2.689482 lr=0.064064 Epoch[100] Batch [1099]/[3760] Speed: 118.946636 samples/sec accuracy=39.362216 loss=2.690945 lr=0.064052 Epoch[100] Batch [1149]/[3760] Speed: 119.637724 samples/sec accuracy=39.400815 loss=2.692094 lr=0.064040 Epoch[100] Batch [1199]/[3760] Speed: 119.680422 samples/sec accuracy=39.402344 loss=2.692659 lr=0.064027 Epoch[100] Batch [1249]/[3760] Speed: 118.850650 samples/sec accuracy=39.393750 loss=2.693052 lr=0.064015 Epoch[100] Batch [1299]/[3760] Speed: 119.184816 samples/sec accuracy=39.352163 loss=2.692686 lr=0.064002 Epoch[100] Batch [1349]/[3760] Speed: 119.816510 samples/sec accuracy=39.302083 loss=2.695029 lr=0.063990 Epoch[100] Batch [1399]/[3760] Speed: 119.265407 samples/sec accuracy=39.284598 loss=2.697248 lr=0.063978 Epoch[100] Batch [1449]/[3760] Speed: 119.324383 samples/sec accuracy=39.293103 loss=2.696159 lr=0.063965 Epoch[100] Batch [1499]/[3760] Speed: 118.972883 samples/sec accuracy=39.243750 loss=2.699035 lr=0.063953 Epoch[100] Batch [1549]/[3760] Speed: 117.981243 samples/sec accuracy=39.259073 loss=2.699923 lr=0.063940 Epoch[100] Batch [1599]/[3760] Speed: 119.606112 samples/sec accuracy=39.255859 loss=2.701622 lr=0.063928 Epoch[100] Batch [1649]/[3760] Speed: 119.278969 samples/sec accuracy=39.232008 loss=2.701594 lr=0.063916 Epoch[100] Batch [1699]/[3760] Speed: 119.704408 samples/sec accuracy=39.204044 loss=2.704447 lr=0.063903 Epoch[100] Batch [1749]/[3760] Speed: 118.529980 samples/sec accuracy=39.208929 loss=2.704276 lr=0.063891 Epoch[100] Batch [1799]/[3760] Speed: 119.882275 samples/sec accuracy=39.231771 loss=2.704551 lr=0.063879 Epoch[100] Batch [1849]/[3760] Speed: 118.937990 samples/sec accuracy=39.282095 loss=2.701922 lr=0.063866 Epoch[100] Batch [1899]/[3760] Speed: 119.097125 samples/sec accuracy=39.290296 loss=2.701712 lr=0.063854 Epoch[100] Batch [1949]/[3760] Speed: 119.291024 samples/sec accuracy=39.300481 loss=2.702014 lr=0.063841 Epoch[100] Batch [1999]/[3760] Speed: 120.710411 samples/sec accuracy=39.325781 loss=2.701170 lr=0.063829 Epoch[100] Batch [2049]/[3760] Speed: 119.550642 samples/sec accuracy=39.328506 loss=2.701501 lr=0.063817 Epoch[100] Batch [2099]/[3760] Speed: 119.450349 samples/sec accuracy=39.343006 loss=2.701433 lr=0.063804 Epoch[100] Batch [2149]/[3760] Speed: 119.740239 samples/sec accuracy=39.295058 loss=2.704076 lr=0.063792 Epoch[100] Batch [2199]/[3760] Speed: 119.398075 samples/sec accuracy=39.316761 loss=2.703108 lr=0.063779 Epoch[100] Batch [2249]/[3760] Speed: 119.225116 samples/sec accuracy=39.315278 loss=2.704033 lr=0.063767 Epoch[100] Batch [2299]/[3760] Speed: 119.497733 samples/sec accuracy=39.326087 loss=2.703801 lr=0.063755 Epoch[100] Batch [2349]/[3760] Speed: 119.170183 samples/sec accuracy=39.321809 loss=2.703391 lr=0.063742 Epoch[100] Batch [2399]/[3760] Speed: 119.080823 samples/sec accuracy=39.335938 loss=2.702922 lr=0.063730 Epoch[100] Batch [2449]/[3760] Speed: 119.439181 samples/sec accuracy=39.342474 loss=2.702848 lr=0.063717 Epoch[100] Batch [2499]/[3760] Speed: 118.471314 samples/sec accuracy=39.346875 loss=2.701361 lr=0.063705 Epoch[100] Batch [2549]/[3760] Speed: 119.297798 samples/sec accuracy=39.340686 loss=2.701541 lr=0.063693 Epoch[100] Batch [2599]/[3760] Speed: 118.886431 samples/sec accuracy=39.349159 loss=2.701692 lr=0.063680 Epoch[100] Batch [2649]/[3760] Speed: 118.954318 samples/sec accuracy=39.359080 loss=2.700520 lr=0.063668 Epoch[100] Batch [2699]/[3760] Speed: 119.754411 samples/sec accuracy=39.354745 loss=2.700979 lr=0.063655 Epoch[100] Batch [2749]/[3760] Speed: 118.506247 samples/sec accuracy=39.340341 loss=2.701656 lr=0.063643 Epoch[100] Batch [2799]/[3760] Speed: 119.081834 samples/sec accuracy=39.325335 loss=2.701400 lr=0.063631 Epoch[100] Batch [2849]/[3760] Speed: 119.187034 samples/sec accuracy=39.368969 loss=2.700228 lr=0.063618 Epoch[100] Batch [2899]/[3760] Speed: 118.955138 samples/sec accuracy=39.375000 loss=2.699860 lr=0.063606 Epoch[100] Batch [2949]/[3760] Speed: 118.379230 samples/sec accuracy=39.403602 loss=2.699437 lr=0.063593 Epoch[100] Batch [2999]/[3760] Speed: 119.798035 samples/sec accuracy=39.372917 loss=2.701455 lr=0.063581 Epoch[100] Batch [3049]/[3760] Speed: 119.306900 samples/sec accuracy=39.361680 loss=2.701960 lr=0.063568 Epoch[100] Batch [3099]/[3760] Speed: 119.240399 samples/sec accuracy=39.373992 loss=2.701601 lr=0.063556 Epoch[100] Batch [3149]/[3760] Speed: 119.302600 samples/sec accuracy=39.373016 loss=2.701884 lr=0.063544 Epoch[100] Batch [3199]/[3760] Speed: 119.483921 samples/sec accuracy=39.352539 loss=2.702288 lr=0.063531 Epoch[100] Batch [3249]/[3760] Speed: 119.052857 samples/sec accuracy=39.347596 loss=2.702458 lr=0.063519 Epoch[100] Batch [3299]/[3760] Speed: 119.272486 samples/sec accuracy=39.334280 loss=2.702699 lr=0.063506 Epoch[100] Batch [3349]/[3760] Speed: 118.663020 samples/sec accuracy=39.339552 loss=2.702268 lr=0.063494 Epoch[100] Batch [3399]/[3760] Speed: 119.791831 samples/sec accuracy=39.344210 loss=2.702448 lr=0.063482 Epoch[100] Batch [3449]/[3760] Speed: 118.906668 samples/sec accuracy=39.331522 loss=2.702716 lr=0.063469 Epoch[100] Batch [3499]/[3760] Speed: 119.616108 samples/sec accuracy=39.352679 loss=2.702200 lr=0.063457 Epoch[100] Batch [3549]/[3760] Speed: 118.516954 samples/sec accuracy=39.347271 loss=2.702915 lr=0.063444 Epoch[100] Batch [3599]/[3760] Speed: 119.503205 samples/sec accuracy=39.379774 loss=2.702207 lr=0.063432 Epoch[100] Batch [3649]/[3760] Speed: 118.748135 samples/sec accuracy=39.376712 loss=2.702499 lr=0.063419 Epoch[100] Batch [3699]/[3760] Speed: 119.409779 samples/sec accuracy=39.389780 loss=2.701853 lr=0.063407 Epoch[100] Batch [3749]/[3760] Speed: 123.172752 samples/sec accuracy=39.385000 loss=2.701277 lr=0.063395 Batch [0049]/[0303]: acc-top1=39.906250 acc-top5=65.156250 Batch [0099]/[0303]: acc-top1=36.156250 acc-top5=63.218750 Batch [0149]/[0303]: acc-top1=38.145833 acc-top5=64.937500 Batch [0199]/[0303]: acc-top1=41.101562 acc-top5=67.437500 Batch [0249]/[0303]: acc-top1=40.768750 acc-top5=67.168750 Batch [0299]/[0303]: acc-top1=40.651042 acc-top5=67.427083 [Epoch 100] training: accuracy=39.388298 loss=2.701351 [Epoch 100] speed: 118 samples/sec time cost: 2144.117425 [Epoch 100] validation: acc-top1=40.645627 acc-top5=67.424711 loss=2.812287 Epoch[101] Batch [0049]/[3759] Speed: 87.403826 samples/sec accuracy=40.281250 loss=2.632261 lr=0.063380 Epoch[101] Batch [0099]/[3759] Speed: 119.815684 samples/sec accuracy=39.265625 loss=2.703721 lr=0.063367 Epoch[101] Batch [0149]/[3759] Speed: 119.471620 samples/sec accuracy=39.270833 loss=2.708702 lr=0.063355 Epoch[101] Batch [0199]/[3759] Speed: 119.376114 samples/sec accuracy=39.437500 loss=2.691237 lr=0.063342 Epoch[101] Batch [0249]/[3759] Speed: 118.854143 samples/sec accuracy=39.175000 loss=2.693620 lr=0.063330 Epoch[101] Batch [0299]/[3759] Speed: 119.849741 samples/sec accuracy=39.291667 loss=2.682407 lr=0.063318 Epoch[101] Batch [0349]/[3759] Speed: 119.390960 samples/sec accuracy=39.232143 loss=2.683763 lr=0.063305 Epoch[101] Batch [0399]/[3759] Speed: 119.563152 samples/sec accuracy=39.464844 loss=2.675986 lr=0.063293 Epoch[101] Batch [0449]/[3759] Speed: 118.156469 samples/sec accuracy=39.625000 loss=2.669471 lr=0.063280 Epoch[101] Batch [0499]/[3759] Speed: 119.618628 samples/sec accuracy=39.793750 loss=2.664659 lr=0.063268 Epoch[101] Batch [0549]/[3759] Speed: 119.015665 samples/sec accuracy=39.784091 loss=2.664139 lr=0.063255 Epoch[101] Batch [0599]/[3759] Speed: 119.548141 samples/sec accuracy=39.625000 loss=2.667067 lr=0.063243 Epoch[101] Batch [0649]/[3759] Speed: 119.753003 samples/sec accuracy=39.646635 loss=2.669426 lr=0.063231 Epoch[101] Batch [0699]/[3759] Speed: 119.354775 samples/sec accuracy=39.723214 loss=2.665297 lr=0.063218 Epoch[101] Batch [0749]/[3759] Speed: 119.955372 samples/sec accuracy=39.712500 loss=2.666686 lr=0.063206 Epoch[101] Batch 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accuracy=39.638750 loss=2.673008 lr=0.063081 Epoch[101] Batch [1299]/[3759] Speed: 119.375492 samples/sec accuracy=39.682692 loss=2.672924 lr=0.063069 Epoch[101] Batch [1349]/[3759] Speed: 119.182479 samples/sec accuracy=39.685185 loss=2.674232 lr=0.063056 Epoch[101] Batch [1399]/[3759] Speed: 118.260688 samples/sec accuracy=39.649554 loss=2.676398 lr=0.063044 Epoch[101] Batch [1449]/[3759] Speed: 119.291052 samples/sec accuracy=39.695043 loss=2.675798 lr=0.063031 Epoch[101] Batch [1499]/[3759] Speed: 119.175768 samples/sec accuracy=39.710417 loss=2.675134 lr=0.063019 Epoch[101] Batch [1549]/[3759] Speed: 118.960690 samples/sec accuracy=39.700605 loss=2.675927 lr=0.063006 Epoch[101] Batch [1599]/[3759] Speed: 119.404234 samples/sec accuracy=39.698242 loss=2.676012 lr=0.062994 Epoch[101] Batch [1649]/[3759] Speed: 119.721869 samples/sec accuracy=39.714015 loss=2.675514 lr=0.062982 Epoch[101] Batch [1699]/[3759] Speed: 120.030966 samples/sec accuracy=39.767463 loss=2.674296 lr=0.062969 Epoch[101] Batch [1749]/[3759] Speed: 119.279019 samples/sec accuracy=39.752679 loss=2.674106 lr=0.062957 Epoch[101] Batch [1799]/[3759] Speed: 119.952715 samples/sec accuracy=39.776910 loss=2.674646 lr=0.062944 Epoch[101] Batch [1849]/[3759] Speed: 119.436802 samples/sec accuracy=39.750845 loss=2.675204 lr=0.062932 Epoch[101] Batch [1899]/[3759] Speed: 119.781262 samples/sec accuracy=39.741776 loss=2.675913 lr=0.062919 Epoch[101] Batch [1949]/[3759] Speed: 119.909175 samples/sec accuracy=39.755609 loss=2.676076 lr=0.062907 Epoch[101] Batch [1999]/[3759] Speed: 118.850366 samples/sec accuracy=39.747656 loss=2.676752 lr=0.062894 Epoch[101] Batch [2049]/[3759] Speed: 120.375780 samples/sec accuracy=39.746951 loss=2.676704 lr=0.062882 Epoch[101] Batch [2099]/[3759] Speed: 118.958011 samples/sec accuracy=39.726190 loss=2.676512 lr=0.062869 Epoch[101] Batch [2149]/[3759] Speed: 119.932949 samples/sec accuracy=39.744913 loss=2.676111 lr=0.062857 Epoch[101] Batch [2199]/[3759] Speed: 118.953608 samples/sec accuracy=39.714489 loss=2.677091 lr=0.062845 Epoch[101] Batch [2249]/[3759] Speed: 119.043478 samples/sec accuracy=39.706944 loss=2.677543 lr=0.062832 Epoch[101] Batch [2299]/[3759] Speed: 118.945329 samples/sec accuracy=39.679348 loss=2.678111 lr=0.062820 Epoch[101] Batch [2349]/[3759] Speed: 118.957581 samples/sec accuracy=39.672207 loss=2.678791 lr=0.062807 Epoch[101] Batch [2399]/[3759] Speed: 119.733681 samples/sec accuracy=39.661458 loss=2.678237 lr=0.062795 Epoch[101] Batch [2449]/[3759] Speed: 119.581298 samples/sec accuracy=39.670918 loss=2.677703 lr=0.062782 Epoch[101] Batch [2499]/[3759] Speed: 120.689683 samples/sec accuracy=39.666250 loss=2.677972 lr=0.062770 Epoch[101] Batch [2549]/[3759] Speed: 119.471798 samples/sec accuracy=39.677696 loss=2.678025 lr=0.062757 Epoch[101] Batch [2599]/[3759] Speed: 119.880563 samples/sec accuracy=39.652644 loss=2.679256 lr=0.062745 Epoch[101] Batch [2649]/[3759] Speed: 118.614799 samples/sec accuracy=39.673349 loss=2.678602 lr=0.062732 Epoch[101] Batch [2699]/[3759] Speed: 119.459779 samples/sec accuracy=39.646412 loss=2.678817 lr=0.062720 Epoch[101] Batch [2749]/[3759] Speed: 120.678839 samples/sec accuracy=39.650568 loss=2.678195 lr=0.062707 Epoch[101] Batch [2799]/[3759] Speed: 119.707597 samples/sec accuracy=39.643973 loss=2.678956 lr=0.062695 Epoch[101] Batch [2849]/[3759] Speed: 119.156001 samples/sec accuracy=39.640899 loss=2.678556 lr=0.062682 Epoch[101] Batch [2899]/[3759] Speed: 119.595783 samples/sec accuracy=39.622306 loss=2.679704 lr=0.062670 Epoch[101] Batch [2949]/[3759] Speed: 119.302887 samples/sec accuracy=39.650424 loss=2.678327 lr=0.062657 Epoch[101] Batch [2999]/[3759] Speed: 119.199992 samples/sec accuracy=39.669271 loss=2.677905 lr=0.062645 Epoch[101] Batch [3049]/[3759] Speed: 119.105267 samples/sec accuracy=39.674693 loss=2.677196 lr=0.062633 Epoch[101] Batch [3099]/[3759] Speed: 118.145636 samples/sec accuracy=39.685988 loss=2.677894 lr=0.062620 Epoch[101] Batch 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accuracy=39.638021 loss=2.677997 lr=0.062495 Epoch[101] Batch [3649]/[3759] Speed: 118.956288 samples/sec accuracy=39.617723 loss=2.679480 lr=0.062483 Epoch[101] Batch [3699]/[3759] Speed: 119.171261 samples/sec accuracy=39.600084 loss=2.680702 lr=0.062470 Epoch[101] Batch [3749]/[3759] Speed: 123.064969 samples/sec accuracy=39.596667 loss=2.680674 lr=0.062458 Batch [0049]/[0303]: acc-top1=40.437500 acc-top5=65.281250 Batch [0099]/[0303]: acc-top1=37.703125 acc-top5=62.984375 Batch [0149]/[0303]: acc-top1=39.177083 acc-top5=64.541667 Batch [0199]/[0303]: acc-top1=41.460938 acc-top5=66.687500 Batch [0249]/[0303]: acc-top1=41.187500 acc-top5=66.818750 Batch [0299]/[0303]: acc-top1=40.635417 acc-top5=66.734375 [Epoch 101] training: accuracy=39.594141 loss=2.680561 [Epoch 101] speed: 118 samples/sec time cost: 2141.721027 [Epoch 101] validation: acc-top1=40.552805 acc-top5=66.707921 loss=2.808966 Epoch[102] Batch [0049]/[3760] Speed: 87.587315 samples/sec accuracy=39.656250 loss=2.671281 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accuracy=39.843750 loss=2.673384 lr=0.062205 Epoch[102] Batch [1049]/[3760] Speed: 119.620157 samples/sec accuracy=39.849702 loss=2.675078 lr=0.062193 Epoch[102] Batch [1099]/[3760] Speed: 118.471202 samples/sec accuracy=39.899148 loss=2.673952 lr=0.062180 Epoch[102] Batch [1149]/[3760] Speed: 118.421249 samples/sec accuracy=39.911685 loss=2.672631 lr=0.062168 Epoch[102] Batch [1199]/[3760] Speed: 119.179387 samples/sec accuracy=39.875000 loss=2.674645 lr=0.062155 Epoch[102] Batch [1249]/[3760] Speed: 119.483754 samples/sec accuracy=39.861250 loss=2.675082 lr=0.062143 Epoch[102] Batch [1299]/[3760] Speed: 119.497929 samples/sec accuracy=39.861779 loss=2.673958 lr=0.062130 Epoch[102] Batch [1349]/[3760] Speed: 119.067628 samples/sec accuracy=39.857639 loss=2.673802 lr=0.062118 Epoch[102] Batch [1399]/[3760] Speed: 119.249206 samples/sec accuracy=39.866071 loss=2.673457 lr=0.062105 Epoch[102] Batch [1449]/[3760] Speed: 118.766427 samples/sec accuracy=39.922414 loss=2.672170 lr=0.062093 Epoch[102] Batch [1499]/[3760] Speed: 119.369640 samples/sec accuracy=39.868750 loss=2.673841 lr=0.062080 Epoch[102] Batch [1549]/[3760] Speed: 119.563440 samples/sec accuracy=39.849798 loss=2.675637 lr=0.062068 Epoch[102] Batch [1599]/[3760] Speed: 119.771896 samples/sec accuracy=39.839844 loss=2.675272 lr=0.062055 Epoch[102] Batch [1649]/[3760] Speed: 119.573410 samples/sec accuracy=39.798295 loss=2.676354 lr=0.062043 Epoch[102] Batch [1699]/[3760] Speed: 119.231291 samples/sec accuracy=39.800551 loss=2.675182 lr=0.062030 Epoch[102] Batch [1749]/[3760] Speed: 118.803311 samples/sec accuracy=39.783036 loss=2.676720 lr=0.062018 Epoch[102] Batch [1799]/[3760] Speed: 119.586757 samples/sec accuracy=39.766493 loss=2.676796 lr=0.062005 Epoch[102] Batch [1849]/[3760] Speed: 119.300097 samples/sec accuracy=39.796453 loss=2.676168 lr=0.061993 Epoch[102] Batch [1899]/[3760] Speed: 119.201040 samples/sec accuracy=39.759868 loss=2.676252 lr=0.061980 Epoch[102] Batch [1949]/[3760] Speed: 118.615067 samples/sec accuracy=39.733173 loss=2.677237 lr=0.061968 Epoch[102] Batch [1999]/[3760] Speed: 119.459554 samples/sec accuracy=39.723437 loss=2.677404 lr=0.061955 Epoch[102] Batch [2049]/[3760] Speed: 119.581056 samples/sec accuracy=39.682927 loss=2.678971 lr=0.061943 Epoch[102] Batch [2099]/[3760] Speed: 118.578199 samples/sec accuracy=39.691220 loss=2.678798 lr=0.061930 Epoch[102] Batch [2149]/[3760] Speed: 120.190742 samples/sec accuracy=39.697674 loss=2.678791 lr=0.061918 Epoch[102] Batch [2199]/[3760] Speed: 119.420320 samples/sec accuracy=39.690341 loss=2.679141 lr=0.061905 Epoch[102] Batch [2249]/[3760] Speed: 119.343477 samples/sec accuracy=39.680556 loss=2.679587 lr=0.061893 Epoch[102] Batch [2299]/[3760] Speed: 119.439931 samples/sec accuracy=39.682745 loss=2.679359 lr=0.061880 Epoch[102] Batch [2349]/[3760] Speed: 119.323890 samples/sec accuracy=39.677527 loss=2.680872 lr=0.061867 Epoch[102] Batch [2399]/[3760] Speed: 119.019388 samples/sec accuracy=39.659505 loss=2.681259 lr=0.061855 Epoch[102] Batch [2449]/[3760] Speed: 119.274859 samples/sec accuracy=39.642219 loss=2.680846 lr=0.061842 Epoch[102] Batch [2499]/[3760] Speed: 119.535899 samples/sec accuracy=39.633125 loss=2.681535 lr=0.061830 Epoch[102] Batch [2549]/[3760] Speed: 119.319230 samples/sec accuracy=39.628064 loss=2.681384 lr=0.061817 Epoch[102] Batch [2599]/[3760] Speed: 119.601771 samples/sec accuracy=39.618990 loss=2.682539 lr=0.061805 Epoch[102] Batch [2649]/[3760] Speed: 118.986000 samples/sec accuracy=39.616156 loss=2.683021 lr=0.061792 Epoch[102] Batch [2699]/[3760] Speed: 119.273192 samples/sec accuracy=39.626157 loss=2.682822 lr=0.061780 Epoch[102] Batch [2749]/[3760] Speed: 118.886125 samples/sec accuracy=39.625000 loss=2.682275 lr=0.061767 Epoch[102] Batch [2799]/[3760] Speed: 120.199559 samples/sec accuracy=39.636719 loss=2.680996 lr=0.061755 Epoch[102] Batch [2849]/[3760] Speed: 119.051464 samples/sec accuracy=39.621711 loss=2.680476 lr=0.061742 Epoch[102] Batch [2899]/[3760] Speed: 119.661089 samples/sec accuracy=39.614763 loss=2.679657 lr=0.061730 Epoch[102] Batch [2949]/[3760] Speed: 118.017289 samples/sec accuracy=39.608581 loss=2.679695 lr=0.061717 Epoch[102] Batch [2999]/[3760] Speed: 119.600669 samples/sec accuracy=39.591667 loss=2.680865 lr=0.061705 Epoch[102] Batch [3049]/[3760] Speed: 119.950175 samples/sec accuracy=39.595287 loss=2.681209 lr=0.061692 Epoch[102] Batch [3099]/[3760] Speed: 120.115336 samples/sec accuracy=39.584677 loss=2.681960 lr=0.061679 Epoch[102] Batch [3149]/[3760] Speed: 119.674158 samples/sec accuracy=39.606151 loss=2.681002 lr=0.061667 Epoch[102] Batch [3199]/[3760] Speed: 119.487547 samples/sec accuracy=39.616699 loss=2.680452 lr=0.061654 Epoch[102] Batch [3249]/[3760] Speed: 119.262342 samples/sec accuracy=39.593269 loss=2.681268 lr=0.061642 Epoch[102] Batch [3299]/[3760] Speed: 118.830895 samples/sec accuracy=39.582386 loss=2.681635 lr=0.061629 Epoch[102] Batch [3349]/[3760] Speed: 119.387604 samples/sec accuracy=39.590485 loss=2.681494 lr=0.061617 Epoch[102] Batch [3399]/[3760] Speed: 118.804651 samples/sec accuracy=39.600184 loss=2.681365 lr=0.061604 Epoch[102] Batch [3449]/[3760] Speed: 119.268312 samples/sec accuracy=39.605525 loss=2.681225 lr=0.061592 Epoch[102] Batch [3499]/[3760] Speed: 119.967459 samples/sec accuracy=39.592857 loss=2.682216 lr=0.061579 Epoch[102] Batch [3549]/[3760] Speed: 119.002184 samples/sec accuracy=39.592870 loss=2.681479 lr=0.061567 Epoch[102] Batch [3599]/[3760] Speed: 119.633438 samples/sec accuracy=39.581597 loss=2.681467 lr=0.061554 Epoch[102] Batch [3649]/[3760] Speed: 118.868917 samples/sec accuracy=39.586045 loss=2.681712 lr=0.061541 Epoch[102] Batch [3699]/[3760] Speed: 119.230538 samples/sec accuracy=39.567568 loss=2.681967 lr=0.061529 Epoch[102] Batch [3749]/[3760] Speed: 122.596699 samples/sec accuracy=39.561250 loss=2.681664 lr=0.061516 Batch [0049]/[0303]: acc-top1=42.937500 acc-top5=67.375000 Batch [0099]/[0303]: acc-top1=39.281250 acc-top5=64.406250 Batch [0149]/[0303]: acc-top1=40.895833 acc-top5=66.114583 Batch [0199]/[0303]: acc-top1=43.335938 acc-top5=68.304688 Batch [0249]/[0303]: acc-top1=42.893750 acc-top5=68.268750 Batch [0299]/[0303]: acc-top1=42.234375 acc-top5=68.354167 [Epoch 102] training: accuracy=39.566157 loss=2.681434 [Epoch 102] speed: 118 samples/sec time cost: 2143.009585 [Epoch 102] validation: acc-top1=42.249381 acc-top5=68.430281 loss=2.712252 Epoch[103] Batch [0049]/[3760] Speed: 89.763065 samples/sec accuracy=38.437500 loss=2.721816 lr=0.061501 Epoch[103] Batch [0099]/[3760] Speed: 119.887781 samples/sec accuracy=39.078125 loss=2.685932 lr=0.061489 Epoch[103] Batch [0149]/[3760] Speed: 118.694527 samples/sec accuracy=39.572917 loss=2.669650 lr=0.061476 Epoch[103] Batch [0199]/[3760] Speed: 119.622572 samples/sec accuracy=39.773438 loss=2.665283 lr=0.061464 Epoch[103] Batch [0249]/[3760] Speed: 120.215783 samples/sec accuracy=40.312500 loss=2.645748 lr=0.061451 Epoch[103] Batch 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accuracy=40.147917 loss=2.642542 lr=0.061326 Epoch[103] Batch [0799]/[3760] Speed: 118.908118 samples/sec accuracy=40.027344 loss=2.647757 lr=0.061313 Epoch[103] Batch [0849]/[3760] Speed: 119.430925 samples/sec accuracy=40.022059 loss=2.649909 lr=0.061300 Epoch[103] Batch [0899]/[3760] Speed: 118.364489 samples/sec accuracy=40.090278 loss=2.647315 lr=0.061288 Epoch[103] Batch [0949]/[3760] Speed: 119.977458 samples/sec accuracy=40.074013 loss=2.644938 lr=0.061275 Epoch[103] Batch [0999]/[3760] Speed: 117.791264 samples/sec accuracy=40.075000 loss=2.646866 lr=0.061263 Epoch[103] Batch [1049]/[3760] Speed: 119.148316 samples/sec accuracy=40.095238 loss=2.645186 lr=0.061250 Epoch[103] Batch [1099]/[3760] Speed: 119.253388 samples/sec accuracy=40.177557 loss=2.640702 lr=0.061238 Epoch[103] Batch [1149]/[3760] Speed: 118.530718 samples/sec accuracy=40.089674 loss=2.643823 lr=0.061225 Epoch[103] Batch [1199]/[3760] Speed: 118.998114 samples/sec accuracy=40.117188 loss=2.643735 lr=0.061212 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Epoch[103] Batch [3599]/[3760] Speed: 119.797935 samples/sec accuracy=39.950521 loss=2.660351 lr=0.060608 Epoch[103] Batch [3649]/[3760] Speed: 119.324039 samples/sec accuracy=39.945205 loss=2.660383 lr=0.060596 Epoch[103] Batch [3699]/[3760] Speed: 119.966197 samples/sec accuracy=39.909628 loss=2.661616 lr=0.060583 Epoch[103] Batch [3749]/[3760] Speed: 123.503010 samples/sec accuracy=39.891667 loss=2.662545 lr=0.060570 Batch [0049]/[0303]: acc-top1=43.062500 acc-top5=68.187500 Batch [0099]/[0303]: acc-top1=38.625000 acc-top5=65.046875 Batch [0149]/[0303]: acc-top1=39.500000 acc-top5=65.968750 Batch [0199]/[0303]: acc-top1=41.828125 acc-top5=68.187500 Batch [0249]/[0303]: acc-top1=41.443750 acc-top5=68.006250 Batch [0299]/[0303]: acc-top1=40.635417 acc-top5=67.697917 [Epoch 103] training: accuracy=39.902759 loss=2.662223 [Epoch 103] speed: 118 samples/sec time cost: 2142.054348 [Epoch 103] validation: acc-top1=40.676568 acc-top5=67.739274 loss=2.827615 Epoch[104] Batch [0049]/[3759] 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accuracy=40.194079 loss=2.649088 lr=0.059848 Epoch[104] Batch [2899]/[3759] Speed: 120.285024 samples/sec accuracy=40.181034 loss=2.649855 lr=0.059836 Epoch[104] Batch [2949]/[3759] Speed: 119.482987 samples/sec accuracy=40.169492 loss=2.651102 lr=0.059823 Epoch[104] Batch [2999]/[3759] Speed: 119.053962 samples/sec accuracy=40.167708 loss=2.651337 lr=0.059810 Epoch[104] Batch [3049]/[3759] Speed: 119.102373 samples/sec accuracy=40.163934 loss=2.651651 lr=0.059798 Epoch[104] Batch [3099]/[3759] Speed: 118.855330 samples/sec accuracy=40.167339 loss=2.652614 lr=0.059785 Epoch[104] Batch [3149]/[3759] Speed: 119.768628 samples/sec accuracy=40.161210 loss=2.653492 lr=0.059772 Epoch[104] Batch [3199]/[3759] Speed: 119.434538 samples/sec accuracy=40.164062 loss=2.653999 lr=0.059760 Epoch[104] Batch [3249]/[3759] Speed: 119.589210 samples/sec accuracy=40.150000 loss=2.654189 lr=0.059747 Epoch[104] Batch [3299]/[3759] Speed: 119.708378 samples/sec accuracy=40.138258 loss=2.655119 lr=0.059734 Epoch[104] Batch [3349]/[3759] Speed: 119.134430 samples/sec accuracy=40.128265 loss=2.655402 lr=0.059722 Epoch[104] Batch [3399]/[3759] Speed: 118.771471 samples/sec accuracy=40.116268 loss=2.655954 lr=0.059709 Epoch[104] Batch [3449]/[3759] Speed: 119.483441 samples/sec accuracy=40.104167 loss=2.656574 lr=0.059696 Epoch[104] Batch [3499]/[3759] Speed: 118.713619 samples/sec accuracy=40.106250 loss=2.656830 lr=0.059684 Epoch[104] Batch [3549]/[3759] Speed: 118.681493 samples/sec accuracy=40.110475 loss=2.656379 lr=0.059671 Epoch[104] Batch [3599]/[3759] Speed: 119.589958 samples/sec accuracy=40.088976 loss=2.657530 lr=0.059659 Epoch[104] Batch [3649]/[3759] Speed: 119.426441 samples/sec accuracy=40.096747 loss=2.657380 lr=0.059646 Epoch[104] Batch [3699]/[3759] Speed: 118.785714 samples/sec accuracy=40.090794 loss=2.657507 lr=0.059633 Epoch[104] Batch [3749]/[3759] Speed: 123.180039 samples/sec accuracy=40.092500 loss=2.658090 lr=0.059621 Batch [0049]/[0303]: acc-top1=36.906250 acc-top5=64.500000 Batch [0099]/[0303]: acc-top1=36.578125 acc-top5=63.921875 Batch [0149]/[0303]: acc-top1=38.322917 acc-top5=65.250000 Batch [0199]/[0303]: acc-top1=40.773438 acc-top5=66.734375 Batch [0249]/[0303]: acc-top1=40.362500 acc-top5=66.793750 Batch [0299]/[0303]: acc-top1=39.682292 acc-top5=66.718750 [Epoch 104] training: accuracy=40.088371 loss=2.658153 [Epoch 104] speed: 118 samples/sec time cost: 2143.902843 [Epoch 104] validation: acc-top1=39.593647 acc-top5=66.702764 loss=2.969925 Epoch[105] Batch [0049]/[3760] Speed: 89.150904 samples/sec accuracy=40.937500 loss=2.607108 lr=0.059606 Epoch[105] Batch [0099]/[3760] Speed: 118.729311 samples/sec accuracy=40.687500 loss=2.632929 lr=0.059593 Epoch[105] Batch [0149]/[3760] Speed: 119.476162 samples/sec accuracy=40.843750 loss=2.621876 lr=0.059580 Epoch[105] Batch [0199]/[3760] Speed: 119.149733 samples/sec accuracy=41.117188 loss=2.618511 lr=0.059568 Epoch[105] Batch [0249]/[3760] Speed: 120.590222 samples/sec 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accuracy=40.200120 loss=2.649932 lr=0.058959 Epoch[105] Batch [2649]/[3760] Speed: 119.005337 samples/sec accuracy=40.198113 loss=2.650514 lr=0.058947 Epoch[105] Batch [2699]/[3760] Speed: 120.132786 samples/sec accuracy=40.197917 loss=2.649949 lr=0.058934 Epoch[105] Batch [2749]/[3760] Speed: 118.089518 samples/sec accuracy=40.193182 loss=2.650144 lr=0.058921 Epoch[105] Batch [2799]/[3760] Speed: 119.889136 samples/sec accuracy=40.196429 loss=2.650305 lr=0.058909 Epoch[105] Batch [2849]/[3760] Speed: 119.255145 samples/sec accuracy=40.185855 loss=2.650973 lr=0.058896 Epoch[105] Batch [2899]/[3760] Speed: 119.647744 samples/sec accuracy=40.220905 loss=2.649400 lr=0.058883 Epoch[105] Batch [2949]/[3760] Speed: 118.808129 samples/sec accuracy=40.219280 loss=2.649129 lr=0.058870 Epoch[105] Batch [2999]/[3760] Speed: 119.813065 samples/sec accuracy=40.225000 loss=2.648321 lr=0.058858 Epoch[105] Batch [3049]/[3760] Speed: 119.631169 samples/sec accuracy=40.225922 loss=2.648241 lr=0.058845 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119.942080 samples/sec accuracy=40.121919 loss=2.652178 lr=0.058718 Epoch[105] Batch [3599]/[3760] Speed: 117.822658 samples/sec accuracy=40.125434 loss=2.652177 lr=0.058705 Epoch[105] Batch [3649]/[3760] Speed: 119.320938 samples/sec accuracy=40.130137 loss=2.652393 lr=0.058693 Epoch[105] Batch [3699]/[3760] Speed: 119.648319 samples/sec accuracy=40.123733 loss=2.652697 lr=0.058680 Epoch[105] Batch [3749]/[3760] Speed: 122.122925 samples/sec accuracy=40.125000 loss=2.652773 lr=0.058667 Batch [0049]/[0303]: acc-top1=40.312500 acc-top5=66.937500 Batch [0099]/[0303]: acc-top1=37.921875 acc-top5=65.640625 Batch [0149]/[0303]: acc-top1=38.312500 acc-top5=66.052083 Batch [0199]/[0303]: acc-top1=40.992188 acc-top5=67.671875 Batch [0249]/[0303]: acc-top1=40.575000 acc-top5=67.368750 Batch [0299]/[0303]: acc-top1=39.473958 acc-top5=66.791667 [Epoch 105] training: accuracy=40.124668 loss=2.652739 [Epoch 105] speed: 118 samples/sec time cost: 2142.696938 [Epoch 105] validation: acc-top1=39.511139 acc-top5=66.836840 loss=2.912437 Epoch[106] Batch [0049]/[3760] Speed: 88.846722 samples/sec accuracy=40.968750 loss=2.592385 lr=0.058652 Epoch[106] Batch [0099]/[3760] Speed: 119.810157 samples/sec accuracy=41.515625 loss=2.550847 lr=0.058639 Epoch[106] Batch [0149]/[3760] Speed: 118.903996 samples/sec accuracy=41.166667 loss=2.574035 lr=0.058627 Epoch[106] Batch [0199]/[3760] Speed: 118.865828 samples/sec accuracy=40.875000 loss=2.596640 lr=0.058614 Epoch[106] Batch [0249]/[3760] Speed: 119.838648 samples/sec accuracy=40.862500 loss=2.611259 lr=0.058601 Epoch[106] Batch [0299]/[3760] Speed: 119.569096 samples/sec accuracy=40.989583 loss=2.609075 lr=0.058589 Epoch[106] Batch [0349]/[3760] Speed: 119.838648 samples/sec accuracy=40.946429 loss=2.608559 lr=0.058576 Epoch[106] Batch [0399]/[3760] Speed: 119.744295 samples/sec accuracy=40.945312 loss=2.612466 lr=0.058563 Epoch[106] Batch [0449]/[3760] Speed: 119.097160 samples/sec accuracy=41.006944 loss=2.608550 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accuracy=40.722098 loss=2.619237 lr=0.058309 Epoch[106] Batch [1449]/[3760] Speed: 118.850262 samples/sec accuracy=40.709052 loss=2.620742 lr=0.058296 Epoch[106] Batch [1499]/[3760] Speed: 119.258073 samples/sec accuracy=40.696875 loss=2.621165 lr=0.058283 Epoch[106] Batch [1549]/[3760] Speed: 119.814195 samples/sec accuracy=40.672379 loss=2.621599 lr=0.058271 Epoch[106] Batch [1599]/[3760] Speed: 118.596522 samples/sec accuracy=40.629883 loss=2.624148 lr=0.058258 Epoch[106] Batch [1649]/[3760] Speed: 119.096877 samples/sec accuracy=40.601326 loss=2.624779 lr=0.058245 Epoch[106] Batch [1699]/[3760] Speed: 119.651822 samples/sec accuracy=40.574449 loss=2.626260 lr=0.058233 Epoch[106] Batch [1749]/[3760] Speed: 118.035468 samples/sec accuracy=40.542857 loss=2.627043 lr=0.058220 Epoch[106] Batch [1799]/[3760] Speed: 119.685431 samples/sec accuracy=40.516493 loss=2.628313 lr=0.058207 Epoch[106] Batch [1849]/[3760] Speed: 119.559197 samples/sec accuracy=40.544764 loss=2.627251 lr=0.058194 Epoch[106] Batch [1899]/[3760] Speed: 118.931161 samples/sec accuracy=40.520559 loss=2.626422 lr=0.058182 Epoch[106] Batch [1949]/[3760] Speed: 118.862980 samples/sec accuracy=40.516026 loss=2.626467 lr=0.058169 Epoch[106] Batch [1999]/[3760] Speed: 119.300700 samples/sec accuracy=40.508594 loss=2.626511 lr=0.058156 Epoch[106] Batch [2049]/[3760] Speed: 119.173162 samples/sec accuracy=40.498476 loss=2.626956 lr=0.058143 Epoch[106] Batch [2099]/[3760] Speed: 119.284754 samples/sec accuracy=40.500744 loss=2.628315 lr=0.058131 Epoch[106] Batch [2149]/[3760] Speed: 119.516771 samples/sec accuracy=40.494186 loss=2.628919 lr=0.058118 Epoch[106] Batch [2199]/[3760] Speed: 119.022153 samples/sec accuracy=40.504261 loss=2.628114 lr=0.058105 Epoch[106] Batch [2249]/[3760] Speed: 118.977173 samples/sec accuracy=40.509722 loss=2.628695 lr=0.058093 Epoch[106] Batch [2299]/[3760] Speed: 119.328168 samples/sec accuracy=40.509511 loss=2.629589 lr=0.058080 Epoch[106] Batch [2349]/[3760] Speed: 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loss=2.632780 lr=0.057953 Epoch[106] Batch [2849]/[3760] Speed: 118.994538 samples/sec accuracy=40.484101 loss=2.632317 lr=0.057940 Epoch[106] Batch [2899]/[3760] Speed: 119.779495 samples/sec accuracy=40.467134 loss=2.633098 lr=0.057927 Epoch[106] Batch [2949]/[3760] Speed: 119.193503 samples/sec accuracy=40.459216 loss=2.633574 lr=0.057914 Epoch[106] Batch [2999]/[3760] Speed: 119.247630 samples/sec accuracy=40.434375 loss=2.634879 lr=0.057902 Epoch[106] Batch [3049]/[3760] Speed: 119.881776 samples/sec accuracy=40.403689 loss=2.635922 lr=0.057889 Epoch[106] Batch [3099]/[3760] Speed: 118.937639 samples/sec accuracy=40.413810 loss=2.635554 lr=0.057876 Epoch[106] Batch [3149]/[3760] Speed: 118.922643 samples/sec accuracy=40.434028 loss=2.634206 lr=0.057863 Epoch[106] Batch [3199]/[3760] Speed: 118.845523 samples/sec accuracy=40.436523 loss=2.634425 lr=0.057851 Epoch[106] Batch [3249]/[3760] Speed: 120.382612 samples/sec accuracy=40.443269 loss=2.634501 lr=0.057838 Epoch[106] Batch 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accuracy=40.457083 loss=2.635368 lr=0.057711 Batch [0049]/[0303]: acc-top1=40.312500 acc-top5=66.312500 Batch [0099]/[0303]: acc-top1=37.796875 acc-top5=64.734375 Batch [0149]/[0303]: acc-top1=39.635417 acc-top5=65.947917 Batch [0199]/[0303]: acc-top1=42.578125 acc-top5=68.445312 Batch [0249]/[0303]: acc-top1=42.006250 acc-top5=68.625000 Batch [0299]/[0303]: acc-top1=41.781250 acc-top5=68.869792 [Epoch 106] training: accuracy=40.453374 loss=2.635481 [Epoch 106] speed: 118 samples/sec time cost: 2142.980072 [Epoch 106] validation: acc-top1=41.749175 acc-top5=68.884076 loss=2.732269 Epoch[107] Batch [0049]/[3759] Speed: 89.142488 samples/sec accuracy=41.468750 loss=2.588855 lr=0.057695 Epoch[107] Batch [0099]/[3759] Speed: 119.200207 samples/sec accuracy=40.953125 loss=2.593594 lr=0.057682 Epoch[107] Batch [0149]/[3759] Speed: 120.186456 samples/sec accuracy=40.656250 loss=2.599913 lr=0.057670 Epoch[107] Batch [0199]/[3759] Speed: 119.292442 samples/sec accuracy=40.460938 loss=2.619613 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loss=2.621994 lr=0.057057 Epoch[107] Batch [2599]/[3759] Speed: 119.178041 samples/sec accuracy=40.702524 loss=2.622710 lr=0.057045 Epoch[107] Batch [2649]/[3759] Speed: 119.767408 samples/sec accuracy=40.722877 loss=2.622836 lr=0.057032 Epoch[107] Batch [2699]/[3759] Speed: 118.418640 samples/sec accuracy=40.719907 loss=2.622875 lr=0.057019 Epoch[107] Batch [2749]/[3759] Speed: 118.968726 samples/sec accuracy=40.714773 loss=2.622493 lr=0.057006 Epoch[107] Batch [2799]/[3759] Speed: 119.083355 samples/sec accuracy=40.703125 loss=2.622871 lr=0.056994 Epoch[107] Batch [2849]/[3759] Speed: 119.446730 samples/sec accuracy=40.692982 loss=2.622848 lr=0.056981 Epoch[107] Batch [2899]/[3759] Speed: 119.063963 samples/sec accuracy=40.692349 loss=2.622758 lr=0.056968 Epoch[107] Batch [2949]/[3759] Speed: 119.471070 samples/sec accuracy=40.685381 loss=2.622674 lr=0.056955 Epoch[107] Batch [2999]/[3759] Speed: 119.245423 samples/sec accuracy=40.647917 loss=2.624027 lr=0.056942 Epoch[107] Batch 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accuracy=40.613393 loss=2.625481 lr=0.056815 Epoch[107] Batch [3549]/[3759] Speed: 118.708045 samples/sec accuracy=40.593310 loss=2.626741 lr=0.056802 Epoch[107] Batch [3599]/[3759] Speed: 117.909966 samples/sec accuracy=40.587674 loss=2.627235 lr=0.056789 Epoch[107] Batch [3649]/[3759] Speed: 119.470313 samples/sec accuracy=40.597603 loss=2.626529 lr=0.056776 Epoch[107] Batch [3699]/[3759] Speed: 120.217706 samples/sec accuracy=40.581081 loss=2.627173 lr=0.056764 Epoch[107] Batch [3749]/[3759] Speed: 122.709828 samples/sec accuracy=40.589583 loss=2.626853 lr=0.056751 Batch [0049]/[0303]: acc-top1=41.031250 acc-top5=66.468750 Batch [0099]/[0303]: acc-top1=38.250000 acc-top5=64.671875 Batch [0149]/[0303]: acc-top1=40.614583 acc-top5=66.833333 Batch [0199]/[0303]: acc-top1=42.953125 acc-top5=68.187500 Batch [0249]/[0303]: acc-top1=42.118750 acc-top5=67.693750 Batch [0299]/[0303]: acc-top1=41.609375 acc-top5=68.015625 [Epoch 107] training: accuracy=40.594240 loss=2.626725 [Epoch 107] speed: 118 samples/sec time cost: 2142.380989 [Epoch 107] validation: acc-top1=41.527434 acc-top5=68.043523 loss=2.803971 Epoch[108] Batch [0049]/[3760] Speed: 88.110220 samples/sec accuracy=40.812500 loss=2.646098 lr=0.056736 Epoch[108] Batch [0099]/[3760] Speed: 118.579475 samples/sec accuracy=41.546875 loss=2.600053 lr=0.056723 Epoch[108] Batch [0149]/[3760] Speed: 119.438974 samples/sec accuracy=41.322917 loss=2.598497 lr=0.056710 Epoch[108] Batch [0199]/[3760] Speed: 119.852879 samples/sec accuracy=41.335938 loss=2.600051 lr=0.056697 Epoch[108] Batch [0249]/[3760] Speed: 120.263171 samples/sec accuracy=41.412500 loss=2.592721 lr=0.056685 Epoch[108] Batch [0299]/[3760] Speed: 119.876010 samples/sec accuracy=41.437500 loss=2.589587 lr=0.056672 Epoch[108] Batch [0349]/[3760] Speed: 119.590821 samples/sec accuracy=41.486607 loss=2.592390 lr=0.056659 Epoch[108] Batch [0399]/[3760] Speed: 119.073650 samples/sec accuracy=41.445312 loss=2.590024 lr=0.056646 Epoch[108] Batch [0449]/[3760] 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accuracy=40.887153 loss=2.616561 lr=0.056518 Epoch[108] Batch [0949]/[3760] Speed: 118.840511 samples/sec accuracy=40.893092 loss=2.617030 lr=0.056506 Epoch[108] Batch [0999]/[3760] Speed: 118.608268 samples/sec accuracy=40.857813 loss=2.618546 lr=0.056493 Epoch[108] Batch [1049]/[3760] Speed: 119.300761 samples/sec accuracy=40.889881 loss=2.615350 lr=0.056480 Epoch[108] Batch [1099]/[3760] Speed: 119.255735 samples/sec accuracy=40.880682 loss=2.616857 lr=0.056467 Epoch[108] Batch [1149]/[3760] Speed: 119.086951 samples/sec accuracy=40.883152 loss=2.617275 lr=0.056455 Epoch[108] Batch [1199]/[3760] Speed: 119.329414 samples/sec accuracy=40.868490 loss=2.617875 lr=0.056442 Epoch[108] Batch [1249]/[3760] Speed: 119.193264 samples/sec accuracy=40.832500 loss=2.618892 lr=0.056429 Epoch[108] Batch [1299]/[3760] Speed: 119.783667 samples/sec accuracy=40.832933 loss=2.619890 lr=0.056416 Epoch[108] Batch [1349]/[3760] Speed: 119.011999 samples/sec accuracy=40.839120 loss=2.618140 lr=0.056403 Epoch[108] Batch [1399]/[3760] Speed: 120.466279 samples/sec accuracy=40.869420 loss=2.617120 lr=0.056391 Epoch[108] Batch [1449]/[3760] Speed: 119.828930 samples/sec accuracy=40.922414 loss=2.616472 lr=0.056378 Epoch[108] Batch [1499]/[3760] Speed: 119.008321 samples/sec accuracy=40.902083 loss=2.618387 lr=0.056365 Epoch[108] Batch [1549]/[3760] Speed: 118.141377 samples/sec accuracy=40.881048 loss=2.619598 lr=0.056352 Epoch[108] Batch [1599]/[3760] Speed: 119.891202 samples/sec accuracy=40.881836 loss=2.618981 lr=0.056339 Epoch[108] Batch [1649]/[3760] Speed: 118.858350 samples/sec accuracy=40.860795 loss=2.619723 lr=0.056327 Epoch[108] Batch [1699]/[3760] Speed: 119.095364 samples/sec accuracy=40.839154 loss=2.618842 lr=0.056314 Epoch[108] Batch [1749]/[3760] Speed: 118.516424 samples/sec accuracy=40.785714 loss=2.620670 lr=0.056301 Epoch[108] Batch [1799]/[3760] Speed: 119.949387 samples/sec accuracy=40.806424 loss=2.619440 lr=0.056288 Epoch[108] Batch [1849]/[3760] Speed: 119.225927 samples/sec accuracy=40.829392 loss=2.619814 lr=0.056275 Epoch[108] Batch [1899]/[3760] Speed: 119.652286 samples/sec accuracy=40.825658 loss=2.620756 lr=0.056263 Epoch[108] Batch [1949]/[3760] Speed: 119.749524 samples/sec accuracy=40.826923 loss=2.619953 lr=0.056250 Epoch[108] Batch [1999]/[3760] Speed: 119.467229 samples/sec accuracy=40.828125 loss=2.619712 lr=0.056237 Epoch[108] Batch [2049]/[3760] Speed: 119.049097 samples/sec accuracy=40.862043 loss=2.617978 lr=0.056224 Epoch[108] Batch [2099]/[3760] Speed: 119.168985 samples/sec accuracy=40.841518 loss=2.617060 lr=0.056211 Epoch[108] Batch [2149]/[3760] Speed: 118.486057 samples/sec accuracy=40.861919 loss=2.616037 lr=0.056199 Epoch[108] Batch [2199]/[3760] Speed: 119.196243 samples/sec accuracy=40.845170 loss=2.616786 lr=0.056186 Epoch[108] Batch [2249]/[3760] Speed: 119.403207 samples/sec accuracy=40.838889 loss=2.617223 lr=0.056173 Epoch[108] Batch [2299]/[3760] Speed: 119.803069 samples/sec accuracy=40.825408 loss=2.617432 lr=0.056160 Epoch[108] Batch [2349]/[3760] Speed: 119.684849 samples/sec accuracy=40.831782 loss=2.617787 lr=0.056147 Epoch[108] Batch [2399]/[3760] Speed: 119.575855 samples/sec accuracy=40.833984 loss=2.618136 lr=0.056135 Epoch[108] Batch [2449]/[3760] Speed: 119.496594 samples/sec accuracy=40.853954 loss=2.617643 lr=0.056122 Epoch[108] Batch [2499]/[3760] Speed: 119.518147 samples/sec accuracy=40.843125 loss=2.617484 lr=0.056109 Epoch[108] Batch [2549]/[3760] Speed: 119.399819 samples/sec accuracy=40.844363 loss=2.617481 lr=0.056096 Epoch[108] Batch [2599]/[3760] Speed: 119.324842 samples/sec accuracy=40.850361 loss=2.617699 lr=0.056083 Epoch[108] Batch [2649]/[3760] Speed: 118.261507 samples/sec accuracy=40.826061 loss=2.618499 lr=0.056071 Epoch[108] Batch [2699]/[3760] Speed: 119.274808 samples/sec accuracy=40.849537 loss=2.617563 lr=0.056058 Epoch[108] Batch [2749]/[3760] Speed: 119.001894 samples/sec accuracy=40.841477 loss=2.617651 lr=0.056045 Epoch[108] Batch [2799]/[3760] Speed: 119.807310 samples/sec accuracy=40.841518 loss=2.616894 lr=0.056032 Epoch[108] Batch [2849]/[3760] Speed: 119.102133 samples/sec accuracy=40.842105 loss=2.617023 lr=0.056019 Epoch[108] Batch [2899]/[3760] Speed: 119.474412 samples/sec accuracy=40.816810 loss=2.618282 lr=0.056007 Epoch[108] Batch [2949]/[3760] Speed: 118.746563 samples/sec accuracy=40.814089 loss=2.618209 lr=0.055994 Epoch[108] Batch [2999]/[3760] Speed: 119.439616 samples/sec accuracy=40.812500 loss=2.618297 lr=0.055981 Epoch[108] Batch [3049]/[3760] Speed: 118.419436 samples/sec accuracy=40.823770 loss=2.617894 lr=0.055968 Epoch[108] Batch [3099]/[3760] Speed: 119.118729 samples/sec accuracy=40.813004 loss=2.618714 lr=0.055955 Epoch[108] Batch [3149]/[3760] Speed: 118.794423 samples/sec accuracy=40.833333 loss=2.618445 lr=0.055943 Epoch[108] Batch [3199]/[3760] Speed: 119.424517 samples/sec accuracy=40.837891 loss=2.618865 lr=0.055930 Epoch[108] Batch [3249]/[3760] Speed: 119.585175 samples/sec accuracy=40.828365 loss=2.619621 lr=0.055917 Epoch[108] Batch [3299]/[3760] Speed: 118.313101 samples/sec accuracy=40.837595 loss=2.619478 lr=0.055904 Epoch[108] Batch [3349]/[3760] Speed: 118.998421 samples/sec accuracy=40.861940 loss=2.618439 lr=0.055891 Epoch[108] Batch [3399]/[3760] Speed: 120.105895 samples/sec accuracy=40.869026 loss=2.618617 lr=0.055879 Epoch[108] Batch [3449]/[3760] Speed: 119.690797 samples/sec accuracy=40.833786 loss=2.619719 lr=0.055866 Epoch[108] Batch [3499]/[3760] Speed: 119.982892 samples/sec accuracy=40.828571 loss=2.620038 lr=0.055853 Epoch[108] Batch [3549]/[3760] Speed: 119.301237 samples/sec accuracy=40.859155 loss=2.619404 lr=0.055840 Epoch[108] Batch [3599]/[3760] Speed: 119.133397 samples/sec accuracy=40.864583 loss=2.618913 lr=0.055827 Epoch[108] Batch [3649]/[3760] Speed: 117.560473 samples/sec accuracy=40.862158 loss=2.618496 lr=0.055815 Epoch[108] Batch [3699]/[3760] Speed: 119.894905 samples/sec accuracy=40.862753 loss=2.618077 lr=0.055802 Epoch[108] Batch [3749]/[3760] Speed: 123.149001 samples/sec accuracy=40.858333 loss=2.618235 lr=0.055789 Batch [0049]/[0303]: acc-top1=42.531250 acc-top5=69.625000 Batch [0099]/[0303]: acc-top1=40.062500 acc-top5=67.656250 Batch [0149]/[0303]: acc-top1=40.635417 acc-top5=68.031250 Batch [0199]/[0303]: acc-top1=42.765625 acc-top5=69.343750 Batch [0249]/[0303]: acc-top1=42.450000 acc-top5=69.168750 Batch [0299]/[0303]: acc-top1=41.760417 acc-top5=69.062500 [Epoch 108] training: accuracy=40.861453 loss=2.617919 [Epoch 108] speed: 118 samples/sec time cost: 2143.642020 [Epoch 108] validation: acc-top1=41.816213 acc-top5=69.100660 loss=2.801805 Epoch[109] Batch [0049]/[3760] Speed: 88.332940 samples/sec accuracy=41.812500 loss=2.548618 lr=0.055774 Epoch[109] Batch [0099]/[3760] Speed: 119.828941 samples/sec accuracy=42.031250 loss=2.547855 lr=0.055761 Epoch[109] Batch [0149]/[3760] Speed: 119.032633 samples/sec accuracy=41.187500 loss=2.578228 lr=0.055748 Epoch[109] Batch [0199]/[3760] Speed: 119.598097 samples/sec accuracy=41.265625 loss=2.573534 lr=0.055735 Epoch[109] Batch [0249]/[3760] Speed: 119.576064 samples/sec accuracy=41.118750 loss=2.582196 lr=0.055722 Epoch[109] Batch [0299]/[3760] Speed: 120.039651 samples/sec accuracy=41.177083 loss=2.587711 lr=0.055709 Epoch[109] Batch [0349]/[3760] Speed: 119.807278 samples/sec accuracy=41.035714 loss=2.592867 lr=0.055697 Epoch[109] Batch [0399]/[3760] Speed: 119.439087 samples/sec accuracy=41.164062 loss=2.588298 lr=0.055684 Epoch[109] Batch [0449]/[3760] Speed: 119.465992 samples/sec accuracy=41.305556 loss=2.587652 lr=0.055671 Epoch[109] Batch [0499]/[3760] Speed: 119.158917 samples/sec accuracy=41.209375 loss=2.588116 lr=0.055658 Epoch[109] Batch [0549]/[3760] Speed: 119.637138 samples/sec accuracy=41.181818 loss=2.593710 lr=0.055645 Epoch[109] Batch [0599]/[3760] Speed: 119.550210 samples/sec accuracy=41.177083 loss=2.591244 lr=0.055633 Epoch[109] Batch [0649]/[3760] Speed: 120.229981 samples/sec accuracy=41.182692 loss=2.591592 lr=0.055620 Epoch[109] Batch [0699]/[3760] Speed: 119.481848 samples/sec accuracy=41.254464 loss=2.592145 lr=0.055607 Epoch[109] Batch [0749]/[3760] Speed: 120.121644 samples/sec accuracy=41.043750 loss=2.599520 lr=0.055594 Epoch[109] Batch [0799]/[3760] Speed: 118.970584 samples/sec accuracy=41.015625 loss=2.597399 lr=0.055581 Epoch[109] Batch [0849]/[3760] Speed: 119.713898 samples/sec accuracy=41.080882 loss=2.598841 lr=0.055568 Epoch[109] Batch [0899]/[3760] Speed: 118.577285 samples/sec accuracy=41.062500 loss=2.601668 lr=0.055556 Epoch[109] Batch [0949]/[3760] Speed: 118.902519 samples/sec accuracy=41.148026 loss=2.599412 lr=0.055543 Epoch[109] Batch [0999]/[3760] Speed: 119.757697 samples/sec accuracy=41.126563 loss=2.599949 lr=0.055530 Epoch[109] Batch [1049]/[3760] Speed: 119.348726 samples/sec accuracy=41.130952 loss=2.600050 lr=0.055517 Epoch[109] Batch [1099]/[3760] Speed: 117.777305 samples/sec accuracy=41.160511 loss=2.599489 lr=0.055504 Epoch[109] Batch [1149]/[3760] Speed: 119.775568 samples/sec accuracy=41.118207 loss=2.601043 lr=0.055492 Epoch[109] Batch [1199]/[3760] Speed: 119.396591 samples/sec accuracy=41.141927 loss=2.601164 lr=0.055479 Epoch[109] Batch [1249]/[3760] Speed: 119.036333 samples/sec accuracy=41.153750 loss=2.601625 lr=0.055466 Epoch[109] Batch [1299]/[3760] Speed: 119.964520 samples/sec accuracy=41.109375 loss=2.603210 lr=0.055453 Epoch[109] Batch [1349]/[3760] Speed: 119.372578 samples/sec accuracy=41.155093 loss=2.601148 lr=0.055440 Epoch[109] Batch [1399]/[3760] Speed: 119.535660 samples/sec accuracy=41.159598 loss=2.600098 lr=0.055427 Epoch[109] Batch [1449]/[3760] Speed: 119.335169 samples/sec accuracy=41.150862 loss=2.601410 lr=0.055415 Epoch[109] Batch [1499]/[3760] Speed: 118.880563 samples/sec accuracy=41.137500 loss=2.602485 lr=0.055402 Epoch[109] Batch [1549]/[3760] Speed: 118.577464 samples/sec accuracy=41.146169 loss=2.603321 lr=0.055389 Epoch[109] Batch [1599]/[3760] Speed: 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accuracy=41.069271 loss=2.607272 lr=0.055017 Epoch[109] Batch [3049]/[3760] Speed: 119.689292 samples/sec accuracy=41.081455 loss=2.607593 lr=0.055004 Epoch[109] Batch [3099]/[3760] Speed: 119.060578 samples/sec accuracy=41.076109 loss=2.608160 lr=0.054991 Epoch[109] Batch [3149]/[3760] Speed: 119.434205 samples/sec accuracy=41.085317 loss=2.608394 lr=0.054979 Epoch[109] Batch [3199]/[3760] Speed: 119.142308 samples/sec accuracy=41.105469 loss=2.607808 lr=0.054966 Epoch[109] Batch [3249]/[3760] Speed: 119.833539 samples/sec accuracy=41.092308 loss=2.608643 lr=0.054953 Epoch[109] Batch [3299]/[3760] Speed: 119.602853 samples/sec accuracy=41.093750 loss=2.609381 lr=0.054940 Epoch[109] Batch [3349]/[3760] Speed: 118.879257 samples/sec accuracy=41.097481 loss=2.608926 lr=0.054927 Epoch[109] Batch [3399]/[3760] Speed: 120.049657 samples/sec accuracy=41.092371 loss=2.608922 lr=0.054914 Epoch[109] Batch [3449]/[3760] Speed: 119.558513 samples/sec accuracy=41.081975 loss=2.609475 lr=0.054902 Epoch[109] Batch [3499]/[3760] Speed: 120.728805 samples/sec accuracy=41.079464 loss=2.608895 lr=0.054889 Epoch[109] Batch [3549]/[3760] Speed: 120.463195 samples/sec accuracy=41.079665 loss=2.608466 lr=0.054876 Epoch[109] Batch [3599]/[3760] Speed: 118.724886 samples/sec accuracy=41.089410 loss=2.608374 lr=0.054863 Epoch[109] Batch [3649]/[3760] Speed: 119.412375 samples/sec accuracy=41.083904 loss=2.609206 lr=0.054850 Epoch[109] Batch [3699]/[3760] Speed: 119.347561 samples/sec accuracy=41.089105 loss=2.608916 lr=0.054837 Epoch[109] Batch [3749]/[3760] Speed: 123.154817 samples/sec accuracy=41.081667 loss=2.608957 lr=0.054825 Batch [0049]/[0303]: acc-top1=42.093750 acc-top5=68.218750 Batch [0099]/[0303]: acc-top1=39.984375 acc-top5=66.281250 Batch [0149]/[0303]: acc-top1=41.104167 acc-top5=66.802083 Batch [0199]/[0303]: acc-top1=43.296875 acc-top5=68.515625 Batch [0249]/[0303]: acc-top1=42.431250 acc-top5=68.456250 Batch [0299]/[0303]: acc-top1=41.541667 acc-top5=68.020833 [Epoch 109] training: accuracy=41.087101 loss=2.608873 [Epoch 109] speed: 118 samples/sec time cost: 2141.895687 [Epoch 109] validation: acc-top1=41.527434 acc-top5=68.033210 loss=2.783711 Epoch[110] Batch [0049]/[3759] Speed: 88.959933 samples/sec accuracy=41.531250 loss=2.570193 lr=0.054809 Epoch[110] Batch [0099]/[3759] Speed: 119.376325 samples/sec accuracy=41.625000 loss=2.577662 lr=0.054796 Epoch[110] Batch [0149]/[3759] Speed: 118.919391 samples/sec accuracy=42.208333 loss=2.557894 lr=0.054783 Epoch[110] Batch [0199]/[3759] Speed: 119.861478 samples/sec accuracy=42.062500 loss=2.571610 lr=0.054771 Epoch[110] Batch [0249]/[3759] Speed: 119.428599 samples/sec accuracy=41.950000 loss=2.574676 lr=0.054758 Epoch[110] Batch [0299]/[3759] Speed: 118.476939 samples/sec accuracy=41.901042 loss=2.581769 lr=0.054745 Epoch[110] Batch [0349]/[3759] Speed: 120.285868 samples/sec accuracy=41.683036 loss=2.588342 lr=0.054732 Epoch[110] Batch [0399]/[3759] Speed: 119.686328 samples/sec accuracy=41.765625 loss=2.583867 lr=0.054719 Epoch[110] Batch [0449]/[3759] Speed: 118.040163 samples/sec accuracy=41.781250 loss=2.580832 lr=0.054706 Epoch[110] Batch [0499]/[3759] Speed: 118.883433 samples/sec accuracy=41.771875 loss=2.581480 lr=0.054694 Epoch[110] Batch [0549]/[3759] Speed: 120.536559 samples/sec accuracy=41.681818 loss=2.585050 lr=0.054681 Epoch[110] Batch [0599]/[3759] Speed: 119.922880 samples/sec accuracy=41.671875 loss=2.583060 lr=0.054668 Epoch[110] Batch [0649]/[3759] Speed: 119.789507 samples/sec accuracy=41.673077 loss=2.585194 lr=0.054655 Epoch[110] Batch [0699]/[3759] Speed: 119.580063 samples/sec accuracy=41.611607 loss=2.587904 lr=0.054642 Epoch[110] Batch [0749]/[3759] Speed: 119.103156 samples/sec accuracy=41.652083 loss=2.584979 lr=0.054629 Epoch[110] Batch [0799]/[3759] Speed: 120.026004 samples/sec accuracy=41.671875 loss=2.580896 lr=0.054617 Epoch[110] Batch [0849]/[3759] Speed: 119.117698 samples/sec accuracy=41.735294 loss=2.576548 lr=0.054604 Epoch[110] Batch [0899]/[3759] Speed: 120.073737 samples/sec accuracy=41.631944 loss=2.580423 lr=0.054591 Epoch[110] Batch [0949]/[3759] Speed: 119.327960 samples/sec accuracy=41.565789 loss=2.581969 lr=0.054578 Epoch[110] Batch [0999]/[3759] Speed: 120.382209 samples/sec accuracy=41.600000 loss=2.581238 lr=0.054565 Epoch[110] Batch [1049]/[3759] Speed: 120.081551 samples/sec accuracy=41.595238 loss=2.581277 lr=0.054552 Epoch[110] Batch [1099]/[3759] Speed: 120.326084 samples/sec accuracy=41.580966 loss=2.581450 lr=0.054539 Epoch[110] Batch [1149]/[3759] Speed: 117.118297 samples/sec accuracy=41.550272 loss=2.581580 lr=0.054527 Epoch[110] Batch [1199]/[3759] Speed: 120.059716 samples/sec accuracy=41.532552 loss=2.582441 lr=0.054514 Epoch[110] Batch [1249]/[3759] Speed: 118.779290 samples/sec accuracy=41.573750 loss=2.581892 lr=0.054501 Epoch[110] Batch [1299]/[3759] Speed: 119.446758 samples/sec accuracy=41.576923 loss=2.582699 lr=0.054488 Epoch[110] Batch [1349]/[3759] Speed: 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loss=2.587439 lr=0.054360 Epoch[110] Batch [1849]/[3759] Speed: 119.304608 samples/sec accuracy=41.481419 loss=2.587476 lr=0.054347 Epoch[110] Batch [1899]/[3759] Speed: 120.011096 samples/sec accuracy=41.471217 loss=2.586637 lr=0.054334 Epoch[110] Batch [1949]/[3759] Speed: 119.517300 samples/sec accuracy=41.500801 loss=2.585892 lr=0.054321 Epoch[110] Batch [1999]/[3759] Speed: 119.354048 samples/sec accuracy=41.489063 loss=2.587909 lr=0.054308 Epoch[110] Batch [2049]/[3759] Speed: 120.239674 samples/sec accuracy=41.485518 loss=2.587793 lr=0.054295 Epoch[110] Batch [2099]/[3759] Speed: 117.983820 samples/sec accuracy=41.476935 loss=2.587943 lr=0.054282 Epoch[110] Batch [2149]/[3759] Speed: 119.887742 samples/sec accuracy=41.457122 loss=2.589632 lr=0.054270 Epoch[110] Batch [2199]/[3759] Speed: 119.558173 samples/sec accuracy=41.442472 loss=2.590632 lr=0.054257 Epoch[110] Batch [2249]/[3759] Speed: 120.406598 samples/sec accuracy=41.438889 loss=2.590711 lr=0.054244 Epoch[110] Batch 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accuracy=41.464205 loss=2.591140 lr=0.054115 Epoch[110] Batch [2799]/[3759] Speed: 119.123134 samples/sec accuracy=41.462054 loss=2.591422 lr=0.054103 Epoch[110] Batch [2849]/[3759] Speed: 118.820035 samples/sec accuracy=41.411184 loss=2.592874 lr=0.054090 Epoch[110] Batch [2899]/[3759] Speed: 119.445544 samples/sec accuracy=41.415948 loss=2.592464 lr=0.054077 Epoch[110] Batch [2949]/[3759] Speed: 120.251746 samples/sec accuracy=41.417373 loss=2.592035 lr=0.054064 Epoch[110] Batch [2999]/[3759] Speed: 119.147186 samples/sec accuracy=41.404167 loss=2.592535 lr=0.054051 Epoch[110] Batch [3049]/[3759] Speed: 119.356813 samples/sec accuracy=41.369877 loss=2.592896 lr=0.054038 Epoch[110] Batch [3099]/[3759] Speed: 117.114334 samples/sec accuracy=41.357359 loss=2.592828 lr=0.054025 Epoch[110] Batch [3149]/[3759] Speed: 120.749360 samples/sec accuracy=41.361111 loss=2.593114 lr=0.054013 Epoch[110] Batch [3199]/[3759] Speed: 119.119004 samples/sec accuracy=41.343750 loss=2.594217 lr=0.054000 Epoch[110] Batch [3249]/[3759] Speed: 120.011315 samples/sec accuracy=41.358654 loss=2.593569 lr=0.053987 Epoch[110] Batch [3299]/[3759] Speed: 119.254977 samples/sec accuracy=41.368845 loss=2.593913 lr=0.053974 Epoch[110] Batch [3349]/[3759] Speed: 119.349257 samples/sec accuracy=41.368937 loss=2.594183 lr=0.053961 Epoch[110] Batch [3399]/[3759] Speed: 119.402401 samples/sec accuracy=41.365349 loss=2.594770 lr=0.053948 Epoch[110] Batch [3449]/[3759] Speed: 120.082179 samples/sec accuracy=41.380435 loss=2.594845 lr=0.053935 Epoch[110] Batch [3499]/[3759] Speed: 120.463383 samples/sec accuracy=41.356250 loss=2.595588 lr=0.053923 Epoch[110] Batch [3549]/[3759] Speed: 119.242729 samples/sec accuracy=41.353433 loss=2.596033 lr=0.053910 Epoch[110] Batch [3599]/[3759] Speed: 119.395560 samples/sec accuracy=41.353733 loss=2.595885 lr=0.053897 Epoch[110] Batch [3649]/[3759] Speed: 118.955292 samples/sec accuracy=41.345462 loss=2.595772 lr=0.053884 Epoch[110] Batch [3699]/[3759] Speed: 119.090215 samples/sec accuracy=41.353041 loss=2.595465 lr=0.053871 Epoch[110] Batch [3749]/[3759] Speed: 124.033950 samples/sec accuracy=41.342083 loss=2.595963 lr=0.053858 Batch [0049]/[0303]: acc-top1=39.968750 acc-top5=66.406250 Batch [0099]/[0303]: acc-top1=36.984375 acc-top5=64.765625 Batch [0149]/[0303]: acc-top1=39.218750 acc-top5=66.593750 Batch [0199]/[0303]: acc-top1=41.851562 acc-top5=68.546875 Batch [0249]/[0303]: acc-top1=41.662500 acc-top5=68.643750 Batch [0299]/[0303]: acc-top1=41.296875 acc-top5=68.713542 [Epoch 110] training: accuracy=41.344939 loss=2.595712 [Epoch 110] speed: 118 samples/sec time cost: 2139.731001 [Epoch 110] validation: acc-top1=41.254125 acc-top5=68.626238 loss=2.833958 Epoch[111] Batch [0049]/[3760] Speed: 87.717275 samples/sec accuracy=40.843750 loss=2.573121 lr=0.053843 Epoch[111] Batch [0099]/[3760] Speed: 119.099630 samples/sec accuracy=42.046875 loss=2.536667 lr=0.053830 Epoch[111] Batch [0149]/[3760] Speed: 119.990003 samples/sec accuracy=41.885417 loss=2.531359 lr=0.053817 Epoch[111] Batch [0199]/[3760] Speed: 119.633323 samples/sec accuracy=42.000000 loss=2.531412 lr=0.053805 Epoch[111] Batch [0249]/[3760] Speed: 119.679798 samples/sec accuracy=41.806250 loss=2.536469 lr=0.053792 Epoch[111] Batch [0299]/[3760] Speed: 119.233449 samples/sec accuracy=41.890625 loss=2.536695 lr=0.053779 Epoch[111] Batch [0349]/[3760] Speed: 119.365278 samples/sec accuracy=41.937500 loss=2.544058 lr=0.053766 Epoch[111] Batch [0399]/[3760] Speed: 117.905749 samples/sec accuracy=41.871094 loss=2.549978 lr=0.053753 Epoch[111] Batch [0449]/[3760] Speed: 119.241792 samples/sec accuracy=41.868056 loss=2.550767 lr=0.053740 Epoch[111] Batch [0499]/[3760] Speed: 119.875902 samples/sec accuracy=41.900000 loss=2.554698 lr=0.053727 Epoch[111] Batch [0549]/[3760] Speed: 119.146547 samples/sec accuracy=41.832386 loss=2.559934 lr=0.053715 Epoch[111] Batch [0599]/[3760] Speed: 119.436821 samples/sec accuracy=41.781250 loss=2.561528 lr=0.053702 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accuracy=41.476875 loss=2.577081 lr=0.053213 Epoch[111] Batch [2549]/[3760] Speed: 120.740163 samples/sec accuracy=41.475490 loss=2.577503 lr=0.053200 Epoch[111] Batch [2599]/[3760] Speed: 119.554308 samples/sec accuracy=41.480168 loss=2.577540 lr=0.053187 Epoch[111] Batch [2649]/[3760] Speed: 119.331873 samples/sec accuracy=41.484080 loss=2.578070 lr=0.053174 Epoch[111] Batch [2699]/[3760] Speed: 119.370622 samples/sec accuracy=41.495370 loss=2.579208 lr=0.053161 Epoch[111] Batch [2749]/[3760] Speed: 119.478501 samples/sec accuracy=41.480682 loss=2.579811 lr=0.053148 Epoch[111] Batch [2799]/[3760] Speed: 118.965218 samples/sec accuracy=41.470982 loss=2.579932 lr=0.053135 Epoch[111] Batch [2849]/[3760] Speed: 119.444267 samples/sec accuracy=41.455592 loss=2.580647 lr=0.053123 Epoch[111] Batch [2899]/[3760] Speed: 119.358725 samples/sec accuracy=41.450431 loss=2.580728 lr=0.053110 Epoch[111] Batch [2949]/[3760] Speed: 120.829536 samples/sec accuracy=41.435911 loss=2.581368 lr=0.053097 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Batch [0299]/[0303]: acc-top1=41.437500 acc-top5=68.614583 [Epoch 111] training: accuracy=41.457364 loss=2.584270 [Epoch 111] speed: 118 samples/sec time cost: 2141.905545 [Epoch 111] validation: acc-top1=41.434612 acc-top5=68.626238 loss=2.885883 Epoch[112] Batch [0049]/[3760] Speed: 87.175885 samples/sec accuracy=40.312500 loss=2.552435 lr=0.052875 Epoch[112] Batch [0099]/[3760] Speed: 119.634305 samples/sec accuracy=40.578125 loss=2.580808 lr=0.052863 Epoch[112] Batch [0149]/[3760] Speed: 118.791567 samples/sec accuracy=41.260417 loss=2.573205 lr=0.052850 Epoch[112] Batch [0199]/[3760] Speed: 119.640273 samples/sec accuracy=41.304688 loss=2.570431 lr=0.052837 Epoch[112] Batch [0249]/[3760] Speed: 119.313483 samples/sec accuracy=41.712500 loss=2.549126 lr=0.052824 Epoch[112] Batch [0299]/[3760] Speed: 120.053581 samples/sec accuracy=41.848958 loss=2.548288 lr=0.052811 Epoch[112] Batch [0349]/[3760] Speed: 119.389747 samples/sec accuracy=41.803571 loss=2.552360 lr=0.052798 Epoch[112] 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lr=0.052553 Epoch[112] Batch [1349]/[3760] Speed: 119.084109 samples/sec accuracy=41.774306 loss=2.567955 lr=0.052541 Epoch[112] Batch [1399]/[3760] Speed: 119.968329 samples/sec accuracy=41.768973 loss=2.567711 lr=0.052528 Epoch[112] Batch [1449]/[3760] Speed: 119.863316 samples/sec accuracy=41.747845 loss=2.568318 lr=0.052515 Epoch[112] Batch [1499]/[3760] Speed: 117.756266 samples/sec accuracy=41.730208 loss=2.569099 lr=0.052502 Epoch[112] Batch [1549]/[3760] Speed: 118.944793 samples/sec accuracy=41.738911 loss=2.568587 lr=0.052489 Epoch[112] Batch [1599]/[3760] Speed: 118.623338 samples/sec accuracy=41.711914 loss=2.571100 lr=0.052476 Epoch[112] Batch [1649]/[3760] Speed: 118.815776 samples/sec accuracy=41.729167 loss=2.570007 lr=0.052463 Epoch[112] Batch [1699]/[3760] Speed: 118.166065 samples/sec accuracy=41.702206 loss=2.570410 lr=0.052450 Epoch[112] Batch [1749]/[3760] Speed: 119.751311 samples/sec accuracy=41.709821 loss=2.570164 lr=0.052438 Epoch[112] Batch [1799]/[3760] 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accuracy=41.676389 loss=2.573963 lr=0.052309 Epoch[112] Batch [2299]/[3760] Speed: 119.402966 samples/sec accuracy=41.661685 loss=2.574587 lr=0.052296 Epoch[112] Batch [2349]/[3760] Speed: 119.915011 samples/sec accuracy=41.676197 loss=2.574316 lr=0.052283 Epoch[112] Batch [2399]/[3760] Speed: 119.188050 samples/sec accuracy=41.695312 loss=2.573199 lr=0.052270 Epoch[112] Batch [2449]/[3760] Speed: 116.981777 samples/sec accuracy=41.674107 loss=2.574139 lr=0.052257 Epoch[112] Batch [2499]/[3760] Speed: 119.562702 samples/sec accuracy=41.675625 loss=2.574693 lr=0.052244 Epoch[112] Batch [2549]/[3760] Speed: 118.674552 samples/sec accuracy=41.682598 loss=2.574859 lr=0.052231 Epoch[112] Batch [2599]/[3760] Speed: 119.632200 samples/sec accuracy=41.664062 loss=2.574733 lr=0.052219 Epoch[112] Batch [2649]/[3760] Speed: 119.254981 samples/sec accuracy=41.665684 loss=2.574328 lr=0.052206 Epoch[112] Batch [2699]/[3760] Speed: 120.673755 samples/sec accuracy=41.664352 loss=2.574027 lr=0.052193 Epoch[112] Batch [2749]/[3760] Speed: 119.333828 samples/sec accuracy=41.669318 loss=2.574082 lr=0.052180 Epoch[112] Batch [2799]/[3760] Speed: 119.467938 samples/sec accuracy=41.623884 loss=2.576056 lr=0.052167 Epoch[112] Batch [2849]/[3760] Speed: 119.709080 samples/sec accuracy=41.619518 loss=2.576421 lr=0.052154 Epoch[112] Batch [2899]/[3760] Speed: 119.907813 samples/sec accuracy=41.610453 loss=2.576877 lr=0.052141 Epoch[112] Batch [2949]/[3760] Speed: 120.036813 samples/sec accuracy=41.603814 loss=2.576926 lr=0.052128 Epoch[112] Batch [2999]/[3760] Speed: 119.420330 samples/sec accuracy=41.589063 loss=2.576698 lr=0.052115 Epoch[112] Batch [3049]/[3760] Speed: 119.412443 samples/sec accuracy=41.561475 loss=2.576924 lr=0.052103 Epoch[112] Batch [3099]/[3760] Speed: 118.546759 samples/sec accuracy=41.572077 loss=2.577399 lr=0.052090 Epoch[112] Batch [3149]/[3760] Speed: 119.487625 samples/sec accuracy=41.566964 loss=2.577470 lr=0.052077 Epoch[112] Batch [3199]/[3760] Speed: 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loss=2.578771 lr=0.051948 Epoch[112] Batch [3699]/[3760] Speed: 118.916456 samples/sec accuracy=41.549409 loss=2.578967 lr=0.051935 Epoch[112] Batch [3749]/[3760] Speed: 123.770297 samples/sec accuracy=41.559167 loss=2.578124 lr=0.051922 Batch [0049]/[0303]: acc-top1=42.437500 acc-top5=68.093750 Batch [0099]/[0303]: acc-top1=40.843750 acc-top5=67.406250 Batch [0149]/[0303]: acc-top1=41.854167 acc-top5=68.239583 Batch [0199]/[0303]: acc-top1=44.484375 acc-top5=70.085938 Batch [0249]/[0303]: acc-top1=43.525000 acc-top5=69.612500 Batch [0299]/[0303]: acc-top1=43.135417 acc-top5=69.776042 [Epoch 112] training: accuracy=41.560838 loss=2.578446 [Epoch 112] speed: 118 samples/sec time cost: 2143.242062 [Epoch 112] validation: acc-top1=43.069307 acc-top5=69.740099 loss=2.677006 Epoch[113] Batch [0049]/[3759] Speed: 89.990044 samples/sec accuracy=42.937500 loss=2.546901 lr=0.051907 Epoch[113] Batch [0099]/[3759] Speed: 119.161783 samples/sec accuracy=43.250000 loss=2.531355 lr=0.051894 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loss=2.564280 lr=0.051043 Epoch[113] Batch [3449]/[3759] Speed: 119.121443 samples/sec accuracy=41.822011 loss=2.565620 lr=0.051030 Epoch[113] Batch [3499]/[3759] Speed: 119.651463 samples/sec accuracy=41.796875 loss=2.566470 lr=0.051017 Epoch[113] Batch [3549]/[3759] Speed: 118.830319 samples/sec accuracy=41.791373 loss=2.567051 lr=0.051004 Epoch[113] Batch [3599]/[3759] Speed: 120.263538 samples/sec accuracy=41.777778 loss=2.568263 lr=0.050991 Epoch[113] Batch [3649]/[3759] Speed: 118.619563 samples/sec accuracy=41.770120 loss=2.568592 lr=0.050978 Epoch[113] Batch [3699]/[3759] Speed: 118.015728 samples/sec accuracy=41.782517 loss=2.568207 lr=0.050966 Epoch[113] Batch [3749]/[3759] Speed: 123.323884 samples/sec accuracy=41.781667 loss=2.568688 lr=0.050953 Batch [0049]/[0303]: acc-top1=43.031250 acc-top5=70.031250 Batch [0099]/[0303]: acc-top1=38.765625 acc-top5=66.656250 Batch [0149]/[0303]: acc-top1=40.510417 acc-top5=67.437500 Batch [0199]/[0303]: acc-top1=43.023438 acc-top5=69.414062 Batch [0249]/[0303]: acc-top1=42.475000 acc-top5=69.231250 Batch [0299]/[0303]: acc-top1=42.307292 acc-top5=69.312500 [Epoch 113] training: accuracy=41.774325 loss=2.568991 [Epoch 113] speed: 118 samples/sec time cost: 2139.014367 [Epoch 113] validation: acc-top1=42.192657 acc-top5=69.188325 loss=2.840156 Epoch[114] Batch [0049]/[3760] Speed: 89.506038 samples/sec accuracy=41.000000 loss=2.608761 lr=0.050937 Epoch[114] Batch [0099]/[3760] Speed: 119.518965 samples/sec accuracy=41.593750 loss=2.559372 lr=0.050925 Epoch[114] Batch [0149]/[3760] Speed: 120.343853 samples/sec accuracy=41.864583 loss=2.549664 lr=0.050912 Epoch[114] Batch [0199]/[3760] Speed: 119.549147 samples/sec accuracy=41.859375 loss=2.550163 lr=0.050899 Epoch[114] Batch [0249]/[3760] Speed: 118.014382 samples/sec accuracy=42.143750 loss=2.537310 lr=0.050886 Epoch[114] Batch [0299]/[3760] Speed: 120.037878 samples/sec accuracy=42.104167 loss=2.541462 lr=0.050873 Epoch[114] Batch [0349]/[3760] Speed: 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accuracy=42.297321 loss=2.542233 lr=0.050499 Epoch[114] Batch [1799]/[3760] Speed: 120.024677 samples/sec accuracy=42.292535 loss=2.541969 lr=0.050486 Epoch[114] Batch [1849]/[3760] Speed: 119.381689 samples/sec accuracy=42.297297 loss=2.541714 lr=0.050473 Epoch[114] Batch [1899]/[3760] Speed: 117.680026 samples/sec accuracy=42.254112 loss=2.542556 lr=0.050460 Epoch[114] Batch [1949]/[3760] Speed: 118.725921 samples/sec accuracy=42.250000 loss=2.542770 lr=0.050447 Epoch[114] Batch [1999]/[3760] Speed: 119.066547 samples/sec accuracy=42.217187 loss=2.545462 lr=0.050435 Epoch[114] Batch [2049]/[3760] Speed: 119.243827 samples/sec accuracy=42.213415 loss=2.546041 lr=0.050422 Epoch[114] Batch [2099]/[3760] Speed: 118.727619 samples/sec accuracy=42.206845 loss=2.547095 lr=0.050409 Epoch[114] Batch [2149]/[3760] Speed: 119.427617 samples/sec accuracy=42.187500 loss=2.546624 lr=0.050396 Epoch[114] Batch [2199]/[3760] Speed: 120.141240 samples/sec accuracy=42.178267 loss=2.546242 lr=0.050383 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loss=2.553384 lr=0.050138 Epoch[114] Batch [3199]/[3760] Speed: 119.374930 samples/sec accuracy=42.078125 loss=2.553601 lr=0.050125 Epoch[114] Batch [3249]/[3760] Speed: 119.735189 samples/sec accuracy=42.075962 loss=2.553702 lr=0.050112 Epoch[114] Batch [3299]/[3760] Speed: 119.031061 samples/sec accuracy=42.061080 loss=2.554024 lr=0.050099 Epoch[114] Batch [3349]/[3760] Speed: 119.331207 samples/sec accuracy=42.040578 loss=2.554241 lr=0.050086 Epoch[114] Batch [3399]/[3760] Speed: 119.511459 samples/sec accuracy=42.043658 loss=2.554826 lr=0.050073 Epoch[114] Batch [3449]/[3760] Speed: 119.522868 samples/sec accuracy=42.057518 loss=2.554184 lr=0.050060 Epoch[114] Batch [3499]/[3760] Speed: 119.111352 samples/sec accuracy=42.047321 loss=2.555251 lr=0.050048 Epoch[114] Batch [3549]/[3760] Speed: 119.676384 samples/sec accuracy=42.064701 loss=2.554623 lr=0.050035 Epoch[114] Batch [3599]/[3760] Speed: 119.639703 samples/sec accuracy=42.066406 loss=2.554741 lr=0.050022 Epoch[114] Batch [3649]/[3760] Speed: 119.521564 samples/sec accuracy=42.059503 loss=2.554867 lr=0.050009 Epoch[114] Batch [3699]/[3760] Speed: 119.034560 samples/sec accuracy=42.066723 loss=2.555575 lr=0.049996 Epoch[114] Batch [3749]/[3760] Speed: 122.639428 samples/sec accuracy=42.062917 loss=2.555326 lr=0.049983 Batch [0049]/[0303]: acc-top1=44.468750 acc-top5=70.375000 Batch [0099]/[0303]: acc-top1=41.390625 acc-top5=67.250000 Batch [0149]/[0303]: acc-top1=42.645833 acc-top5=68.156250 Batch [0199]/[0303]: acc-top1=45.242188 acc-top5=70.281250 Batch [0249]/[0303]: acc-top1=43.775000 acc-top5=69.431250 Batch [0299]/[0303]: acc-top1=42.994792 acc-top5=69.250000 [Epoch 114] training: accuracy=42.064079 loss=2.555134 [Epoch 114] speed: 118 samples/sec time cost: 2142.272144 [Epoch 114] validation: acc-top1=42.997112 acc-top5=69.239893 loss=2.636788 Epoch[115] Batch [0049]/[3760] Speed: 88.546228 samples/sec accuracy=42.531250 loss=2.550345 lr=0.049968 Epoch[115] Batch [0099]/[3760] Speed: 119.193379 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accuracy=42.197917 loss=2.534795 lr=0.049594 Epoch[115] Batch [1549]/[3760] Speed: 119.573918 samples/sec accuracy=42.180444 loss=2.535283 lr=0.049581 Epoch[115] Batch [1599]/[3760] Speed: 119.746959 samples/sec accuracy=42.215820 loss=2.533648 lr=0.049568 Epoch[115] Batch [1649]/[3760] Speed: 119.890810 samples/sec accuracy=42.196970 loss=2.534346 lr=0.049555 Epoch[115] Batch [1699]/[3760] Speed: 119.613098 samples/sec accuracy=42.183824 loss=2.536666 lr=0.049542 Epoch[115] Batch [1749]/[3760] Speed: 119.457370 samples/sec accuracy=42.183036 loss=2.536183 lr=0.049529 Epoch[115] Batch [1799]/[3760] Speed: 119.413546 samples/sec accuracy=42.186632 loss=2.535926 lr=0.049516 Epoch[115] Batch [1849]/[3760] Speed: 119.591713 samples/sec accuracy=42.165541 loss=2.535578 lr=0.049503 Epoch[115] Batch [1899]/[3760] Speed: 119.555964 samples/sec accuracy=42.179276 loss=2.535799 lr=0.049490 Epoch[115] Batch [1949]/[3760] Speed: 119.793093 samples/sec accuracy=42.169872 loss=2.537800 lr=0.049478 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loss=2.543616 lr=0.049233 Epoch[115] Batch [2949]/[3760] Speed: 119.541140 samples/sec accuracy=42.136123 loss=2.543652 lr=0.049220 Epoch[115] Batch [2999]/[3760] Speed: 119.821598 samples/sec accuracy=42.117708 loss=2.543877 lr=0.049207 Epoch[115] Batch [3049]/[3760] Speed: 118.081394 samples/sec accuracy=42.135758 loss=2.543526 lr=0.049194 Epoch[115] Batch [3099]/[3760] Speed: 119.029408 samples/sec accuracy=42.145161 loss=2.543018 lr=0.049181 Epoch[115] Batch [3149]/[3760] Speed: 119.219872 samples/sec accuracy=42.146825 loss=2.543469 lr=0.049168 Epoch[115] Batch [3199]/[3760] Speed: 117.792773 samples/sec accuracy=42.145996 loss=2.543814 lr=0.049155 Epoch[115] Batch [3249]/[3760] Speed: 119.342949 samples/sec accuracy=42.141346 loss=2.543892 lr=0.049142 Epoch[115] Batch [3299]/[3760] Speed: 119.031158 samples/sec accuracy=42.147254 loss=2.543912 lr=0.049129 Epoch[115] Batch [3349]/[3760] Speed: 118.708110 samples/sec accuracy=42.139925 loss=2.544240 lr=0.049116 Epoch[115] Batch 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acc-top5=69.531250 Batch [0199]/[0303]: acc-top1=46.132812 acc-top5=70.937500 Batch [0249]/[0303]: acc-top1=45.062500 acc-top5=70.706250 Batch [0299]/[0303]: acc-top1=44.312500 acc-top5=70.510417 [Epoch 115] training: accuracy=42.133893 loss=2.546552 [Epoch 115] speed: 118 samples/sec time cost: 2142.970962 [Epoch 115] validation: acc-top1=44.245050 acc-top5=70.477517 loss=2.645560 Epoch[116] Batch [0049]/[3759] Speed: 88.106465 samples/sec accuracy=43.687500 loss=2.447910 lr=0.048998 Epoch[116] Batch [0099]/[3759] Speed: 119.568119 samples/sec accuracy=43.140625 loss=2.497351 lr=0.048985 Epoch[116] Batch [0149]/[3759] Speed: 119.278718 samples/sec accuracy=43.135417 loss=2.490983 lr=0.048972 Epoch[116] Batch [0199]/[3759] Speed: 121.012892 samples/sec accuracy=43.453125 loss=2.483092 lr=0.048959 Epoch[116] Batch [0249]/[3759] Speed: 119.644622 samples/sec accuracy=43.062500 loss=2.489526 lr=0.048946 Epoch[116] Batch [0299]/[3759] Speed: 119.897416 samples/sec accuracy=43.005208 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accuracy=42.556250 loss=2.520868 lr=0.048688 Epoch[116] Batch [1299]/[3759] Speed: 119.587827 samples/sec accuracy=42.604567 loss=2.520195 lr=0.048675 Epoch[116] Batch [1349]/[3759] Speed: 120.097655 samples/sec accuracy=42.562500 loss=2.520791 lr=0.048663 Epoch[116] Batch [1399]/[3759] Speed: 119.490870 samples/sec accuracy=42.562500 loss=2.522378 lr=0.048650 Epoch[116] Batch [1449]/[3759] Speed: 118.114282 samples/sec accuracy=42.543103 loss=2.523681 lr=0.048637 Epoch[116] Batch [1499]/[3759] Speed: 119.616345 samples/sec accuracy=42.551042 loss=2.524093 lr=0.048624 Epoch[116] Batch [1549]/[3759] Speed: 119.287169 samples/sec accuracy=42.550403 loss=2.523019 lr=0.048611 Epoch[116] Batch [1599]/[3759] Speed: 119.361282 samples/sec accuracy=42.510742 loss=2.525882 lr=0.048598 Epoch[116] Batch [1649]/[3759] Speed: 119.432488 samples/sec accuracy=42.522727 loss=2.525674 lr=0.048585 Epoch[116] Batch [1699]/[3759] Speed: 118.567561 samples/sec accuracy=42.500000 loss=2.526324 lr=0.048572 Epoch[116] Batch [1749]/[3759] Speed: 118.746858 samples/sec accuracy=42.475000 loss=2.526464 lr=0.048559 Epoch[116] Batch [1799]/[3759] Speed: 119.254830 samples/sec accuracy=42.408854 loss=2.528638 lr=0.048547 Epoch[116] Batch [1849]/[3759] Speed: 119.923245 samples/sec accuracy=42.430743 loss=2.528819 lr=0.048534 Epoch[116] Batch [1899]/[3759] Speed: 119.625082 samples/sec accuracy=42.424342 loss=2.529534 lr=0.048521 Epoch[116] Batch [1949]/[3759] Speed: 119.601504 samples/sec accuracy=42.410256 loss=2.530932 lr=0.048508 Epoch[116] Batch [1999]/[3759] Speed: 119.320647 samples/sec accuracy=42.415625 loss=2.531935 lr=0.048495 Epoch[116] Batch [2049]/[3759] Speed: 119.222090 samples/sec accuracy=42.419970 loss=2.532030 lr=0.048482 Epoch[116] Batch [2099]/[3759] Speed: 119.405522 samples/sec accuracy=42.456101 loss=2.531146 lr=0.048469 Epoch[116] Batch [2149]/[3759] Speed: 118.890141 samples/sec accuracy=42.418605 loss=2.532730 lr=0.048456 Epoch[116] Batch [2199]/[3759] Speed: 120.094911 samples/sec accuracy=42.419744 loss=2.532252 lr=0.048443 Epoch[116] Batch [2249]/[3759] Speed: 119.367481 samples/sec accuracy=42.427778 loss=2.530785 lr=0.048431 Epoch[116] Batch [2299]/[3759] Speed: 118.785823 samples/sec accuracy=42.420516 loss=2.530457 lr=0.048418 Epoch[116] Batch [2349]/[3759] Speed: 120.620068 samples/sec accuracy=42.421543 loss=2.529959 lr=0.048405 Epoch[116] Batch [2399]/[3759] Speed: 119.475875 samples/sec accuracy=42.439453 loss=2.529142 lr=0.048392 Epoch[116] Batch [2449]/[3759] Speed: 119.621180 samples/sec accuracy=42.432398 loss=2.529854 lr=0.048379 Epoch[116] Batch [2499]/[3759] Speed: 119.743003 samples/sec accuracy=42.435000 loss=2.529858 lr=0.048366 Epoch[116] Batch [2549]/[3759] Speed: 118.256090 samples/sec accuracy=42.441176 loss=2.529729 lr=0.048353 Epoch[116] Batch [2599]/[3759] Speed: 118.022186 samples/sec accuracy=42.454928 loss=2.529765 lr=0.048340 Epoch[116] Batch [2649]/[3759] Speed: 118.964549 samples/sec accuracy=42.450472 loss=2.529855 lr=0.048327 Epoch[116] Batch [2699]/[3759] Speed: 119.930525 samples/sec accuracy=42.461806 loss=2.529232 lr=0.048314 Epoch[116] Batch [2749]/[3759] Speed: 118.699791 samples/sec accuracy=42.468750 loss=2.529105 lr=0.048302 Epoch[116] Batch [2799]/[3759] Speed: 120.379687 samples/sec accuracy=42.479353 loss=2.529612 lr=0.048289 Epoch[116] Batch [2849]/[3759] Speed: 118.993676 samples/sec accuracy=42.481360 loss=2.529817 lr=0.048276 Epoch[116] Batch [2899]/[3759] Speed: 119.370636 samples/sec accuracy=42.497845 loss=2.529127 lr=0.048263 Epoch[116] Batch [2949]/[3759] Speed: 119.184991 samples/sec accuracy=42.478814 loss=2.529126 lr=0.048250 Epoch[116] Batch [2999]/[3759] Speed: 118.266072 samples/sec accuracy=42.464583 loss=2.529750 lr=0.048237 Epoch[116] Batch [3049]/[3759] Speed: 119.512996 samples/sec accuracy=42.451844 loss=2.530481 lr=0.048224 Epoch[116] Batch [3099]/[3759] Speed: 119.682842 samples/sec accuracy=42.446069 loss=2.530260 lr=0.048211 Epoch[116] Batch [3149]/[3759] Speed: 119.606304 samples/sec accuracy=42.461310 loss=2.530146 lr=0.048198 Epoch[116] Batch [3199]/[3759] Speed: 118.777150 samples/sec accuracy=42.436523 loss=2.530564 lr=0.048186 Epoch[116] Batch [3249]/[3759] Speed: 120.055184 samples/sec accuracy=42.425000 loss=2.530610 lr=0.048173 Epoch[116] Batch [3299]/[3759] Speed: 119.159703 samples/sec accuracy=42.403883 loss=2.531227 lr=0.048160 Epoch[116] Batch [3349]/[3759] Speed: 119.340741 samples/sec accuracy=42.390858 loss=2.531149 lr=0.048147 Epoch[116] Batch [3399]/[3759] Speed: 120.116052 samples/sec accuracy=42.386949 loss=2.532105 lr=0.048134 Epoch[116] Batch [3449]/[3759] Speed: 119.084864 samples/sec accuracy=42.383152 loss=2.532451 lr=0.048121 Epoch[116] Batch [3499]/[3759] Speed: 118.566304 samples/sec accuracy=42.375446 loss=2.533006 lr=0.048108 Epoch[116] Batch [3549]/[3759] Speed: 119.710122 samples/sec accuracy=42.389965 loss=2.532224 lr=0.048095 Epoch[116] Batch [3599]/[3759] Speed: 118.997088 samples/sec accuracy=42.395833 loss=2.532222 lr=0.048082 Epoch[116] Batch [3649]/[3759] Speed: 119.050879 samples/sec accuracy=42.383562 loss=2.532540 lr=0.048070 Epoch[116] Batch [3699]/[3759] Speed: 118.559258 samples/sec accuracy=42.393581 loss=2.531920 lr=0.048057 Epoch[116] Batch [3749]/[3759] Speed: 122.565524 samples/sec accuracy=42.389583 loss=2.532191 lr=0.048044 Batch [0049]/[0303]: acc-top1=41.343750 acc-top5=67.218750 Batch [0099]/[0303]: acc-top1=38.031250 acc-top5=64.703125 Batch [0149]/[0303]: acc-top1=40.354167 acc-top5=66.718750 Batch [0199]/[0303]: acc-top1=43.476562 acc-top5=68.828125 Batch [0249]/[0303]: acc-top1=43.043750 acc-top5=68.968750 Batch [0299]/[0303]: acc-top1=42.677083 acc-top5=69.036458 [Epoch 116] training: accuracy=42.393256 loss=2.532026 [Epoch 116] speed: 118 samples/sec time cost: 2142.173640 [Epoch 116] validation: acc-top1=42.656766 acc-top5=69.043936 loss=2.732123 Epoch[117] Batch [0049]/[3760] Speed: 88.257020 samples/sec accuracy=44.968750 loss=2.458419 lr=0.048029 Epoch[117] Batch [0099]/[3760] Speed: 119.698433 samples/sec accuracy=44.890625 loss=2.465421 lr=0.048016 Epoch[117] Batch [0149]/[3760] Speed: 120.063745 samples/sec accuracy=44.395833 loss=2.472997 lr=0.048003 Epoch[117] Batch [0199]/[3760] Speed: 119.442439 samples/sec accuracy=44.148438 loss=2.480119 lr=0.047990 Epoch[117] Batch [0249]/[3760] Speed: 119.515483 samples/sec accuracy=44.131250 loss=2.473994 lr=0.047977 Epoch[117] Batch [0299]/[3760] Speed: 119.979536 samples/sec accuracy=43.755208 loss=2.487063 lr=0.047964 Epoch[117] Batch [0349]/[3760] Speed: 119.186020 samples/sec accuracy=43.558036 loss=2.491718 lr=0.047951 Epoch[117] Batch [0399]/[3760] Speed: 119.427312 samples/sec accuracy=43.480469 loss=2.492678 lr=0.047938 Epoch[117] Batch [0449]/[3760] Speed: 119.598181 samples/sec accuracy=43.427083 loss=2.491359 lr=0.047926 Epoch[117] Batch [0499]/[3760] Speed: 119.049482 samples/sec accuracy=43.387500 loss=2.496969 lr=0.047913 Epoch[117] Batch [0549]/[3760] 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accuracy=43.070312 loss=2.510759 lr=0.047784 Epoch[117] Batch [1049]/[3760] Speed: 119.634883 samples/sec accuracy=42.909226 loss=2.516091 lr=0.047771 Epoch[117] Batch [1099]/[3760] Speed: 118.746308 samples/sec accuracy=42.862216 loss=2.518176 lr=0.047758 Epoch[117] Batch [1149]/[3760] Speed: 119.446057 samples/sec accuracy=42.880435 loss=2.518324 lr=0.047745 Epoch[117] Batch [1199]/[3760] Speed: 119.239985 samples/sec accuracy=42.858073 loss=2.518788 lr=0.047732 Epoch[117] Batch [1249]/[3760] Speed: 118.826333 samples/sec accuracy=42.873750 loss=2.516960 lr=0.047719 Epoch[117] Batch [1299]/[3760] Speed: 119.539951 samples/sec accuracy=42.890625 loss=2.517231 lr=0.047706 Epoch[117] Batch [1349]/[3760] Speed: 118.774691 samples/sec accuracy=42.971065 loss=2.513528 lr=0.047694 Epoch[117] Batch [1399]/[3760] Speed: 119.978675 samples/sec accuracy=42.875000 loss=2.517292 lr=0.047681 Epoch[117] Batch [1449]/[3760] Speed: 119.914318 samples/sec accuracy=42.883621 loss=2.516632 lr=0.047668 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accuracy=42.699627 loss=2.522009 lr=0.047178 Epoch[117] Batch [3399]/[3760] Speed: 118.612854 samples/sec accuracy=42.705423 loss=2.522284 lr=0.047166 Epoch[117] Batch [3449]/[3760] Speed: 120.327019 samples/sec accuracy=42.714221 loss=2.521817 lr=0.047153 Epoch[117] Batch [3499]/[3760] Speed: 120.082604 samples/sec accuracy=42.702679 loss=2.522335 lr=0.047140 Epoch[117] Batch [3549]/[3760] Speed: 119.729188 samples/sec accuracy=42.685299 loss=2.522638 lr=0.047127 Epoch[117] Batch [3599]/[3760] Speed: 120.152828 samples/sec accuracy=42.684896 loss=2.522657 lr=0.047114 Epoch[117] Batch [3649]/[3760] Speed: 119.676829 samples/sec accuracy=42.699486 loss=2.521777 lr=0.047101 Epoch[117] Batch [3699]/[3760] Speed: 119.792289 samples/sec accuracy=42.689611 loss=2.522933 lr=0.047088 Epoch[117] Batch [3749]/[3760] Speed: 123.092001 samples/sec accuracy=42.688333 loss=2.522754 lr=0.047075 Batch [0049]/[0303]: acc-top1=42.968750 acc-top5=69.625000 Batch [0099]/[0303]: acc-top1=41.281250 acc-top5=68.640625 Batch [0149]/[0303]: acc-top1=42.447917 acc-top5=69.145833 Batch [0199]/[0303]: acc-top1=44.796875 acc-top5=71.007812 Batch [0249]/[0303]: acc-top1=44.031250 acc-top5=70.706250 Batch [0299]/[0303]: acc-top1=43.718750 acc-top5=70.723958 [Epoch 117] training: accuracy=42.692404 loss=2.522659 [Epoch 117] speed: 118 samples/sec time cost: 2141.652215 [Epoch 117] validation: acc-top1=43.719059 acc-top5=70.709571 loss=2.563150 Epoch[118] Batch [0049]/[3760] Speed: 89.523085 samples/sec accuracy=44.000000 loss=2.454681 lr=0.047060 Epoch[118] Batch [0099]/[3760] Speed: 118.481674 samples/sec accuracy=44.250000 loss=2.455225 lr=0.047047 Epoch[118] Batch [0149]/[3760] Speed: 119.445967 samples/sec accuracy=44.260417 loss=2.444619 lr=0.047034 Epoch[118] Batch [0199]/[3760] Speed: 119.418004 samples/sec accuracy=43.968750 loss=2.457487 lr=0.047021 Epoch[118] Batch [0249]/[3760] Speed: 119.593726 samples/sec accuracy=43.862500 loss=2.456663 lr=0.047008 Epoch[118] Batch 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accuracy=43.393750 loss=2.481613 lr=0.046880 Epoch[118] Batch [0799]/[3760] Speed: 118.655028 samples/sec accuracy=43.408203 loss=2.486299 lr=0.046867 Epoch[118] Batch [0849]/[3760] Speed: 119.307268 samples/sec accuracy=43.306985 loss=2.491732 lr=0.046854 Epoch[118] Batch [0899]/[3760] Speed: 119.280067 samples/sec accuracy=43.263889 loss=2.493553 lr=0.046841 Epoch[118] Batch [0949]/[3760] Speed: 119.514373 samples/sec accuracy=43.251645 loss=2.493457 lr=0.046828 Epoch[118] Batch [0999]/[3760] Speed: 119.797074 samples/sec accuracy=43.223438 loss=2.495532 lr=0.046815 Epoch[118] Batch [1049]/[3760] Speed: 118.940150 samples/sec accuracy=43.156250 loss=2.496789 lr=0.046802 Epoch[118] Batch [1099]/[3760] Speed: 119.280821 samples/sec accuracy=43.065341 loss=2.499407 lr=0.046790 Epoch[118] Batch [1149]/[3760] Speed: 117.530691 samples/sec accuracy=43.024457 loss=2.499664 lr=0.046777 Epoch[118] Batch [1199]/[3760] Speed: 119.593763 samples/sec accuracy=43.085938 loss=2.496097 lr=0.046764 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loss=2.501862 lr=0.046519 Epoch[118] Batch [2199]/[3760] Speed: 118.231209 samples/sec accuracy=42.965199 loss=2.501797 lr=0.046506 Epoch[118] Batch [2249]/[3760] Speed: 118.906343 samples/sec accuracy=42.972917 loss=2.501829 lr=0.046494 Epoch[118] Batch [2299]/[3760] Speed: 119.122590 samples/sec accuracy=43.015625 loss=2.500132 lr=0.046481 Epoch[118] Batch [2349]/[3760] Speed: 119.389359 samples/sec accuracy=42.972739 loss=2.500891 lr=0.046468 Epoch[118] Batch [2399]/[3760] Speed: 119.351949 samples/sec accuracy=42.961589 loss=2.501534 lr=0.046455 Epoch[118] Batch [2449]/[3760] Speed: 118.744987 samples/sec accuracy=42.949617 loss=2.502736 lr=0.046442 Epoch[118] Batch [2499]/[3760] Speed: 119.973145 samples/sec accuracy=42.953750 loss=2.502821 lr=0.046429 Epoch[118] Batch [2549]/[3760] Speed: 119.710844 samples/sec accuracy=42.954657 loss=2.503439 lr=0.046416 Epoch[118] Batch [2599]/[3760] Speed: 120.579926 samples/sec accuracy=42.980168 loss=2.502243 lr=0.046404 Epoch[118] Batch 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accuracy=42.932964 loss=2.506361 lr=0.046275 Epoch[118] Batch [3149]/[3760] Speed: 118.662689 samples/sec accuracy=42.939484 loss=2.505637 lr=0.046262 Epoch[118] Batch [3199]/[3760] Speed: 119.474340 samples/sec accuracy=42.942383 loss=2.504802 lr=0.046249 Epoch[118] Batch [3249]/[3760] Speed: 117.751269 samples/sec accuracy=42.956731 loss=2.504855 lr=0.046236 Epoch[118] Batch [3299]/[3760] Speed: 119.771021 samples/sec accuracy=42.944129 loss=2.505465 lr=0.046223 Epoch[118] Batch [3349]/[3760] Speed: 118.647043 samples/sec accuracy=42.944496 loss=2.505294 lr=0.046211 Epoch[118] Batch [3399]/[3760] Speed: 120.056580 samples/sec accuracy=42.943474 loss=2.505872 lr=0.046198 Epoch[118] Batch [3449]/[3760] Speed: 118.865280 samples/sec accuracy=42.915761 loss=2.506956 lr=0.046185 Epoch[118] Batch [3499]/[3760] Speed: 119.694563 samples/sec accuracy=42.937946 loss=2.506594 lr=0.046172 Epoch[118] Batch [3549]/[3760] Speed: 119.044596 samples/sec accuracy=42.931338 loss=2.506727 lr=0.046159 Epoch[118] Batch [3599]/[3760] Speed: 119.213636 samples/sec accuracy=42.907552 loss=2.507822 lr=0.046146 Epoch[118] Batch [3649]/[3760] Speed: 120.290555 samples/sec accuracy=42.914812 loss=2.507841 lr=0.046133 Epoch[118] Batch [3699]/[3760] Speed: 118.997719 samples/sec accuracy=42.916807 loss=2.507524 lr=0.046121 Epoch[118] Batch [3749]/[3760] Speed: 122.451627 samples/sec accuracy=42.909583 loss=2.507899 lr=0.046108 Batch [0049]/[0303]: acc-top1=44.125000 acc-top5=70.750000 Batch [0099]/[0303]: acc-top1=40.843750 acc-top5=67.984375 Batch [0149]/[0303]: acc-top1=42.489583 acc-top5=69.229167 Batch [0199]/[0303]: acc-top1=44.843750 acc-top5=71.023438 Batch [0249]/[0303]: acc-top1=44.706250 acc-top5=70.918750 Batch [0299]/[0303]: acc-top1=44.093750 acc-top5=70.786458 [Epoch 118] training: accuracy=42.901845 loss=2.508361 [Epoch 118] speed: 118 samples/sec time cost: 2142.349294 [Epoch 118] validation: acc-top1=44.162541 acc-top5=70.807550 loss=2.588962 Epoch[119] Batch [0049]/[3759] Speed: 88.178693 samples/sec accuracy=43.250000 loss=2.461920 lr=0.046092 Epoch[119] Batch [0099]/[3759] Speed: 119.927659 samples/sec accuracy=43.703125 loss=2.449877 lr=0.046079 Epoch[119] Batch [0149]/[3759] Speed: 119.482765 samples/sec accuracy=43.979167 loss=2.439145 lr=0.046067 Epoch[119] Batch [0199]/[3759] Speed: 120.511328 samples/sec accuracy=43.968750 loss=2.446053 lr=0.046054 Epoch[119] Batch [0249]/[3759] Speed: 118.735615 samples/sec accuracy=43.756250 loss=2.452530 lr=0.046041 Epoch[119] Batch [0299]/[3759] Speed: 118.778749 samples/sec accuracy=43.750000 loss=2.453391 lr=0.046028 Epoch[119] Batch [0349]/[3759] Speed: 118.852640 samples/sec accuracy=43.580357 loss=2.455971 lr=0.046015 Epoch[119] Batch [0399]/[3759] Speed: 118.711317 samples/sec accuracy=43.683594 loss=2.455228 lr=0.046002 Epoch[119] Batch [0449]/[3759] Speed: 119.556800 samples/sec accuracy=43.777778 loss=2.450998 lr=0.045989 Epoch[119] Batch [0499]/[3759] Speed: 120.087788 samples/sec accuracy=43.750000 loss=2.450909 lr=0.045977 Epoch[119] Batch [0549]/[3759] Speed: 119.875064 samples/sec accuracy=43.678977 loss=2.457077 lr=0.045964 Epoch[119] Batch [0599]/[3759] Speed: 117.458323 samples/sec accuracy=43.591146 loss=2.463342 lr=0.045951 Epoch[119] Batch [0649]/[3759] Speed: 118.860886 samples/sec accuracy=43.557692 loss=2.464445 lr=0.045938 Epoch[119] Batch [0699]/[3759] Speed: 120.069023 samples/sec accuracy=43.515625 loss=2.468709 lr=0.045925 Epoch[119] Batch [0749]/[3759] Speed: 118.750736 samples/sec accuracy=43.545833 loss=2.470195 lr=0.045912 Epoch[119] Batch [0799]/[3759] Speed: 119.928977 samples/sec accuracy=43.486328 loss=2.473458 lr=0.045899 Epoch[119] Batch [0849]/[3759] Speed: 119.094364 samples/sec accuracy=43.389706 loss=2.478142 lr=0.045887 Epoch[119] Batch [0899]/[3759] Speed: 119.701036 samples/sec accuracy=43.420139 loss=2.477459 lr=0.045874 Epoch[119] Batch [0949]/[3759] Speed: 119.104572 samples/sec accuracy=43.503289 loss=2.475860 lr=0.045861 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accuracy=43.086075 loss=2.496510 lr=0.045373 Epoch[119] Batch [2899]/[3759] Speed: 119.615783 samples/sec accuracy=43.078125 loss=2.497367 lr=0.045360 Epoch[119] Batch [2949]/[3759] Speed: 118.863829 samples/sec accuracy=43.075742 loss=2.496989 lr=0.045347 Epoch[119] Batch [2999]/[3759] Speed: 119.705442 samples/sec accuracy=43.094792 loss=2.496674 lr=0.045334 Epoch[119] Batch [3049]/[3759] Speed: 119.614590 samples/sec accuracy=43.078893 loss=2.497013 lr=0.045321 Epoch[119] Batch [3099]/[3759] Speed: 118.702485 samples/sec accuracy=43.065524 loss=2.498405 lr=0.045309 Epoch[119] Batch [3149]/[3759] Speed: 119.750196 samples/sec accuracy=43.074901 loss=2.498673 lr=0.045296 Epoch[119] Batch [3199]/[3759] Speed: 119.081868 samples/sec accuracy=43.074707 loss=2.499091 lr=0.045283 Epoch[119] Batch [3249]/[3759] Speed: 118.627828 samples/sec accuracy=43.078846 loss=2.499331 lr=0.045270 Epoch[119] Batch [3299]/[3759] Speed: 119.433604 samples/sec accuracy=43.093277 loss=2.498931 lr=0.045257 Epoch[119] Batch [3349]/[3759] Speed: 119.300131 samples/sec accuracy=43.074627 loss=2.499602 lr=0.045244 Epoch[119] Batch [3399]/[3759] Speed: 119.321098 samples/sec accuracy=43.061581 loss=2.499803 lr=0.045231 Epoch[119] Batch [3449]/[3759] Speed: 119.465023 samples/sec accuracy=43.074275 loss=2.499650 lr=0.045219 Epoch[119] Batch [3499]/[3759] Speed: 120.403311 samples/sec accuracy=43.084375 loss=2.499216 lr=0.045206 Epoch[119] Batch [3549]/[3759] Speed: 118.995378 samples/sec accuracy=43.089789 loss=2.499601 lr=0.045193 Epoch[119] Batch [3599]/[3759] Speed: 119.260515 samples/sec accuracy=43.093316 loss=2.499523 lr=0.045180 Epoch[119] Batch [3649]/[3759] Speed: 120.427043 samples/sec accuracy=43.086901 loss=2.499649 lr=0.045167 Epoch[119] Batch [3699]/[3759] Speed: 117.977445 samples/sec accuracy=43.092905 loss=2.499438 lr=0.045154 Epoch[119] Batch [3749]/[3759] Speed: 123.335992 samples/sec accuracy=43.101667 loss=2.499376 lr=0.045142 Batch [0049]/[0303]: acc-top1=43.875000 acc-top5=69.718750 Batch [0099]/[0303]: acc-top1=41.000000 acc-top5=67.109375 Batch [0149]/[0303]: acc-top1=42.479167 acc-top5=68.208333 Batch [0199]/[0303]: acc-top1=45.375000 acc-top5=70.460938 Batch [0249]/[0303]: acc-top1=45.187500 acc-top5=70.743750 Batch [0299]/[0303]: acc-top1=44.708333 acc-top5=70.911458 [Epoch 119] training: accuracy=43.107791 loss=2.499387 [Epoch 119] speed: 118 samples/sec time cost: 2142.200691 [Epoch 119] validation: acc-top1=44.652434 acc-top5=70.884901 loss=2.574212 Epoch[120] Batch [0049]/[3760] Speed: 87.519578 samples/sec accuracy=43.187500 loss=2.470390 lr=0.045126 Epoch[120] Batch [0099]/[3760] Speed: 120.894207 samples/sec accuracy=43.734375 loss=2.450869 lr=0.045114 Epoch[120] Batch [0149]/[3760] Speed: 119.419401 samples/sec accuracy=43.687500 loss=2.452453 lr=0.045101 Epoch[120] Batch [0199]/[3760] Speed: 119.118287 samples/sec accuracy=43.421875 loss=2.467859 lr=0.045088 Epoch[120] Batch [0249]/[3760] Speed: 119.516177 samples/sec accuracy=43.581250 loss=2.465199 lr=0.045075 Epoch[120] Batch [0299]/[3760] Speed: 119.033746 samples/sec accuracy=43.526042 loss=2.464411 lr=0.045062 Epoch[120] Batch [0349]/[3760] Speed: 119.468361 samples/sec accuracy=43.727679 loss=2.462929 lr=0.045049 Epoch[120] Batch [0399]/[3760] Speed: 118.754514 samples/sec accuracy=43.593750 loss=2.464357 lr=0.045037 Epoch[120] Batch [0449]/[3760] Speed: 119.200775 samples/sec accuracy=43.562500 loss=2.465479 lr=0.045024 Epoch[120] Batch [0499]/[3760] Speed: 120.016196 samples/sec accuracy=43.553125 loss=2.466374 lr=0.045011 Epoch[120] Batch [0549]/[3760] Speed: 119.268363 samples/sec accuracy=43.460227 loss=2.471965 lr=0.044998 Epoch[120] Batch [0599]/[3760] Speed: 119.633133 samples/sec accuracy=43.526042 loss=2.468206 lr=0.044985 Epoch[120] Batch [0649]/[3760] Speed: 120.042221 samples/sec accuracy=43.526442 loss=2.467893 lr=0.044972 Epoch[120] Batch [0699]/[3760] Speed: 119.624978 samples/sec accuracy=43.520089 loss=2.468601 lr=0.044960 Epoch[120] Batch [0749]/[3760] Speed: 119.416185 samples/sec accuracy=43.470833 loss=2.470226 lr=0.044947 Epoch[120] Batch [0799]/[3760] Speed: 119.744936 samples/sec accuracy=43.470703 loss=2.471765 lr=0.044934 Epoch[120] Batch [0849]/[3760] Speed: 118.990553 samples/sec accuracy=43.544118 loss=2.468831 lr=0.044921 Epoch[120] Batch [0899]/[3760] Speed: 119.398670 samples/sec accuracy=43.555556 loss=2.468502 lr=0.044908 Epoch[120] Batch [0949]/[3760] Speed: 119.880111 samples/sec accuracy=43.559211 loss=2.468579 lr=0.044895 Epoch[120] Batch [0999]/[3760] Speed: 118.823536 samples/sec accuracy=43.535938 loss=2.471769 lr=0.044883 Epoch[120] Batch [1049]/[3760] Speed: 119.018770 samples/sec accuracy=43.507440 loss=2.471317 lr=0.044870 Epoch[120] Batch [1099]/[3760] Speed: 118.920579 samples/sec accuracy=43.470170 loss=2.472982 lr=0.044857 Epoch[120] Batch [1149]/[3760] Speed: 119.661891 samples/sec accuracy=43.550272 loss=2.470515 lr=0.044844 Epoch[120] Batch [1199]/[3760] Speed: 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loss=2.478108 lr=0.044716 Epoch[120] Batch [1699]/[3760] Speed: 119.309322 samples/sec accuracy=43.407169 loss=2.479395 lr=0.044703 Epoch[120] Batch [1749]/[3760] Speed: 119.582460 samples/sec accuracy=43.447321 loss=2.477366 lr=0.044690 Epoch[120] Batch [1799]/[3760] Speed: 119.469018 samples/sec accuracy=43.437500 loss=2.478585 lr=0.044677 Epoch[120] Batch [1849]/[3760] Speed: 120.287230 samples/sec accuracy=43.414696 loss=2.479348 lr=0.044665 Epoch[120] Batch [1899]/[3760] Speed: 119.276948 samples/sec accuracy=43.392270 loss=2.480466 lr=0.044652 Epoch[120] Batch [1949]/[3760] Speed: 120.053060 samples/sec accuracy=43.404647 loss=2.480720 lr=0.044639 Epoch[120] Batch [1999]/[3760] Speed: 119.158695 samples/sec accuracy=43.403906 loss=2.481261 lr=0.044626 Epoch[120] Batch [2049]/[3760] Speed: 118.071891 samples/sec accuracy=43.401677 loss=2.482514 lr=0.044613 Epoch[120] Batch [2099]/[3760] Speed: 119.513173 samples/sec accuracy=43.433780 loss=2.482139 lr=0.044600 Epoch[120] Batch 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accuracy=43.415264 loss=2.480430 lr=0.044472 Epoch[120] Batch [2649]/[3760] Speed: 120.201105 samples/sec accuracy=43.402123 loss=2.480683 lr=0.044459 Epoch[120] Batch [2699]/[3760] Speed: 119.260184 samples/sec accuracy=43.424190 loss=2.480788 lr=0.044447 Epoch[120] Batch [2749]/[3760] Speed: 119.274384 samples/sec accuracy=43.430114 loss=2.479732 lr=0.044434 Epoch[120] Batch [2799]/[3760] Speed: 119.872565 samples/sec accuracy=43.412388 loss=2.479420 lr=0.044421 Epoch[120] Batch [2849]/[3760] Speed: 119.760783 samples/sec accuracy=43.383772 loss=2.480777 lr=0.044408 Epoch[120] Batch [2899]/[3760] Speed: 119.082643 samples/sec accuracy=43.377155 loss=2.481132 lr=0.044395 Epoch[120] Batch [2949]/[3760] Speed: 118.847574 samples/sec accuracy=43.385593 loss=2.480740 lr=0.044383 Epoch[120] Batch [2999]/[3760] Speed: 119.631304 samples/sec accuracy=43.381250 loss=2.481312 lr=0.044370 Epoch[120] Batch [3049]/[3760] Speed: 118.716544 samples/sec accuracy=43.377049 loss=2.481908 lr=0.044357 Epoch[120] Batch [3099]/[3760] Speed: 119.354510 samples/sec accuracy=43.368952 loss=2.482214 lr=0.044344 Epoch[120] Batch [3149]/[3760] Speed: 118.115207 samples/sec accuracy=43.358135 loss=2.483231 lr=0.044331 Epoch[120] Batch [3199]/[3760] Speed: 119.613334 samples/sec accuracy=43.379883 loss=2.483008 lr=0.044318 Epoch[120] Batch [3249]/[3760] Speed: 119.699599 samples/sec accuracy=43.390865 loss=2.483075 lr=0.044306 Epoch[120] Batch [3299]/[3760] Speed: 118.857476 samples/sec accuracy=43.384470 loss=2.482799 lr=0.044293 Epoch[120] Batch [3349]/[3760] Speed: 119.553962 samples/sec accuracy=43.397854 loss=2.482683 lr=0.044280 Epoch[120] Batch [3399]/[3760] Speed: 119.456587 samples/sec accuracy=43.403033 loss=2.482303 lr=0.044267 Epoch[120] Batch [3449]/[3760] Speed: 119.276788 samples/sec accuracy=43.395833 loss=2.483316 lr=0.044254 Epoch[120] Batch [3499]/[3760] Speed: 118.372159 samples/sec accuracy=43.391518 loss=2.483707 lr=0.044242 Epoch[120] Batch [3549]/[3760] Speed: 118.773037 samples/sec accuracy=43.377201 loss=2.483564 lr=0.044229 Epoch[120] Batch [3599]/[3760] Speed: 119.495436 samples/sec accuracy=43.376736 loss=2.482902 lr=0.044216 Epoch[120] Batch [3649]/[3760] Speed: 119.959180 samples/sec accuracy=43.363442 loss=2.483283 lr=0.044203 Epoch[120] Batch [3699]/[3760] Speed: 119.205764 samples/sec accuracy=43.365709 loss=2.483844 lr=0.044190 Epoch[120] Batch [3749]/[3760] Speed: 122.777215 samples/sec accuracy=43.364583 loss=2.483950 lr=0.044178 Batch [0049]/[0303]: acc-top1=42.375000 acc-top5=67.937500 Batch [0099]/[0303]: acc-top1=39.531250 acc-top5=66.140625 Batch [0149]/[0303]: acc-top1=41.395833 acc-top5=67.635417 Batch [0199]/[0303]: acc-top1=44.117188 acc-top5=69.484375 Batch [0249]/[0303]: acc-top1=43.768750 acc-top5=69.656250 Batch [0299]/[0303]: acc-top1=43.072917 acc-top5=69.640625 [Epoch 120] training: accuracy=43.364777 loss=2.483940 [Epoch 120] speed: 118 samples/sec time cost: 2141.407143 [Epoch 120] validation: acc-top1=43.089934 acc-top5=69.734942 loss=2.702154 Epoch[121] Batch [0049]/[3760] Speed: 87.132450 samples/sec accuracy=43.156250 loss=2.513938 lr=0.044162 Epoch[121] Batch [0099]/[3760] Speed: 119.266149 samples/sec accuracy=43.890625 loss=2.464110 lr=0.044149 Epoch[121] Batch [0149]/[3760] Speed: 120.148061 samples/sec accuracy=43.666667 loss=2.476831 lr=0.044137 Epoch[121] Batch [0199]/[3760] Speed: 119.221330 samples/sec accuracy=43.960938 loss=2.471193 lr=0.044124 Epoch[121] Batch [0249]/[3760] Speed: 119.070809 samples/sec accuracy=43.750000 loss=2.474496 lr=0.044111 Epoch[121] Batch [0299]/[3760] Speed: 119.635449 samples/sec accuracy=43.687500 loss=2.478525 lr=0.044098 Epoch[121] Batch [0349]/[3760] Speed: 118.772833 samples/sec accuracy=43.705357 loss=2.479237 lr=0.044085 Epoch[121] Batch [0399]/[3760] Speed: 118.233580 samples/sec accuracy=43.894531 loss=2.469012 lr=0.044073 Epoch[121] Batch [0449]/[3760] Speed: 119.063920 samples/sec accuracy=43.906250 loss=2.459422 lr=0.044060 Epoch[121] Batch [0499]/[3760] Speed: 119.153351 samples/sec accuracy=43.990625 loss=2.464664 lr=0.044047 Epoch[121] Batch [0549]/[3760] Speed: 120.066580 samples/sec accuracy=43.960227 loss=2.459736 lr=0.044034 Epoch[121] Batch [0599]/[3760] Speed: 120.000930 samples/sec accuracy=44.153646 loss=2.452575 lr=0.044021 Epoch[121] Batch [0649]/[3760] Speed: 119.768812 samples/sec accuracy=44.286058 loss=2.445189 lr=0.044008 Epoch[121] Batch [0699]/[3760] Speed: 118.432673 samples/sec accuracy=44.312500 loss=2.443016 lr=0.043996 Epoch[121] Batch [0749]/[3760] Speed: 120.122885 samples/sec accuracy=44.172917 loss=2.447909 lr=0.043983 Epoch[121] Batch [0799]/[3760] Speed: 118.682985 samples/sec accuracy=44.066406 loss=2.453210 lr=0.043970 Epoch[121] Batch [0849]/[3760] Speed: 119.975272 samples/sec accuracy=44.079044 loss=2.454783 lr=0.043957 Epoch[121] Batch [0899]/[3760] Speed: 118.703731 samples/sec accuracy=44.107639 loss=2.454622 lr=0.043944 Epoch[121] Batch [0949]/[3760] 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accuracy=44.016741 loss=2.457280 lr=0.043816 Epoch[121] Batch [1449]/[3760] Speed: 119.415348 samples/sec accuracy=43.993534 loss=2.458671 lr=0.043804 Epoch[121] Batch [1499]/[3760] Speed: 119.738784 samples/sec accuracy=44.002083 loss=2.458919 lr=0.043791 Epoch[121] Batch [1549]/[3760] Speed: 119.320650 samples/sec accuracy=44.002016 loss=2.457956 lr=0.043778 Epoch[121] Batch [1599]/[3760] Speed: 118.113130 samples/sec accuracy=43.979492 loss=2.457971 lr=0.043765 Epoch[121] Batch [1649]/[3760] Speed: 119.360530 samples/sec accuracy=43.947917 loss=2.459591 lr=0.043752 Epoch[121] Batch [1699]/[3760] Speed: 118.700726 samples/sec accuracy=43.930147 loss=2.460699 lr=0.043740 Epoch[121] Batch [1749]/[3760] Speed: 119.933130 samples/sec accuracy=43.902679 loss=2.461780 lr=0.043727 Epoch[121] Batch [1799]/[3760] Speed: 119.421673 samples/sec accuracy=43.850694 loss=2.464107 lr=0.043714 Epoch[121] Batch [1849]/[3760] Speed: 119.123178 samples/sec accuracy=43.820946 loss=2.465279 lr=0.043701 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loss=2.468555 lr=0.043458 Epoch[121] Batch [2849]/[3760] Speed: 119.130495 samples/sec accuracy=43.754934 loss=2.468431 lr=0.043445 Epoch[121] Batch [2899]/[3760] Speed: 116.453715 samples/sec accuracy=43.781250 loss=2.467824 lr=0.043433 Epoch[121] Batch [2949]/[3760] Speed: 119.397924 samples/sec accuracy=43.757415 loss=2.469165 lr=0.043420 Epoch[121] Batch [2999]/[3760] Speed: 118.424517 samples/sec accuracy=43.736458 loss=2.470350 lr=0.043407 Epoch[121] Batch [3049]/[3760] Speed: 118.898943 samples/sec accuracy=43.737193 loss=2.469335 lr=0.043394 Epoch[121] Batch [3099]/[3760] Speed: 119.877505 samples/sec accuracy=43.741431 loss=2.469042 lr=0.043382 Epoch[121] Batch [3149]/[3760] Speed: 120.286231 samples/sec accuracy=43.737599 loss=2.468861 lr=0.043369 Epoch[121] Batch [3199]/[3760] Speed: 119.498655 samples/sec accuracy=43.727051 loss=2.469412 lr=0.043356 Epoch[121] Batch [3249]/[3760] Speed: 119.919986 samples/sec accuracy=43.718750 loss=2.469886 lr=0.043343 Epoch[121] Batch 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accuracy=43.665833 loss=2.473023 lr=0.043215 Batch [0049]/[0303]: acc-top1=45.562500 acc-top5=70.937500 Batch [0099]/[0303]: acc-top1=41.640625 acc-top5=67.984375 Batch [0149]/[0303]: acc-top1=44.166667 acc-top5=69.864583 Batch [0199]/[0303]: acc-top1=46.640625 acc-top5=71.343750 Batch [0249]/[0303]: acc-top1=45.912500 acc-top5=71.206250 Batch [0299]/[0303]: acc-top1=45.343750 acc-top5=71.307292 [Epoch 121] training: accuracy=43.665226 loss=2.472941 [Epoch 121] speed: 118 samples/sec time cost: 2145.004990 [Epoch 121] validation: acc-top1=45.302186 acc-top5=71.297442 loss=2.537474 Epoch[122] Batch [0049]/[3759] Speed: 88.444667 samples/sec accuracy=44.343750 loss=2.446809 lr=0.043200 Epoch[122] Batch [0099]/[3759] Speed: 120.014910 samples/sec accuracy=44.937500 loss=2.417679 lr=0.043187 Epoch[122] Batch [0149]/[3759] Speed: 119.594154 samples/sec accuracy=44.697917 loss=2.428064 lr=0.043175 Epoch[122] Batch [0199]/[3759] Speed: 119.269989 samples/sec accuracy=44.343750 loss=2.438555 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Speed: 119.797031 samples/sec accuracy=44.091518 loss=2.461013 lr=0.043034 Epoch[122] Batch [0749]/[3759] Speed: 118.521793 samples/sec accuracy=43.962500 loss=2.462947 lr=0.043021 Epoch[122] Batch [0799]/[3759] Speed: 119.426903 samples/sec accuracy=43.882812 loss=2.464589 lr=0.043008 Epoch[122] Batch [0849]/[3759] Speed: 118.195355 samples/sec accuracy=43.977941 loss=2.461519 lr=0.042996 Epoch[122] Batch [0899]/[3759] Speed: 118.585938 samples/sec accuracy=43.994792 loss=2.459180 lr=0.042983 Epoch[122] Batch [0949]/[3759] Speed: 119.201353 samples/sec accuracy=43.963816 loss=2.459170 lr=0.042970 Epoch[122] Batch [0999]/[3759] Speed: 119.060796 samples/sec accuracy=43.962500 loss=2.458502 lr=0.042957 Epoch[122] Batch [1049]/[3759] Speed: 119.155978 samples/sec accuracy=43.961310 loss=2.456739 lr=0.042945 Epoch[122] Batch [1099]/[3759] Speed: 118.743404 samples/sec accuracy=43.911932 loss=2.457979 lr=0.042932 Epoch[122] Batch [1149]/[3759] Speed: 119.635474 samples/sec accuracy=43.923913 loss=2.457483 lr=0.042919 Epoch[122] Batch [1199]/[3759] Speed: 119.538760 samples/sec accuracy=43.848958 loss=2.460526 lr=0.042906 Epoch[122] Batch [1249]/[3759] Speed: 119.563203 samples/sec accuracy=43.882500 loss=2.459708 lr=0.042894 Epoch[122] Batch [1299]/[3759] Speed: 119.578164 samples/sec accuracy=43.860577 loss=2.460909 lr=0.042881 Epoch[122] Batch [1349]/[3759] Speed: 119.013590 samples/sec accuracy=43.841435 loss=2.460832 lr=0.042868 Epoch[122] Batch [1399]/[3759] Speed: 119.035745 samples/sec accuracy=43.853795 loss=2.459617 lr=0.042855 Epoch[122] Batch [1449]/[3759] Speed: 119.328028 samples/sec accuracy=43.836207 loss=2.460762 lr=0.042842 Epoch[122] Batch [1499]/[3759] Speed: 119.334659 samples/sec accuracy=43.793750 loss=2.462727 lr=0.042830 Epoch[122] Batch [1549]/[3759] Speed: 119.369395 samples/sec accuracy=43.786290 loss=2.462752 lr=0.042817 Epoch[122] Batch [1599]/[3759] Speed: 119.592620 samples/sec accuracy=43.806641 loss=2.462305 lr=0.042804 Epoch[122] Batch [1649]/[3759] Speed: 118.712617 samples/sec accuracy=43.777462 loss=2.462966 lr=0.042791 Epoch[122] Batch [1699]/[3759] Speed: 119.549558 samples/sec accuracy=43.797794 loss=2.463670 lr=0.042779 Epoch[122] Batch [1749]/[3759] Speed: 118.936310 samples/sec accuracy=43.834821 loss=2.461863 lr=0.042766 Epoch[122] Batch [1799]/[3759] Speed: 120.341860 samples/sec accuracy=43.864583 loss=2.461196 lr=0.042753 Epoch[122] Batch [1849]/[3759] Speed: 120.133529 samples/sec accuracy=43.844595 loss=2.463161 lr=0.042740 Epoch[122] Batch [1899]/[3759] Speed: 117.521858 samples/sec accuracy=43.824013 loss=2.463757 lr=0.042728 Epoch[122] Batch [1949]/[3759] Speed: 118.615228 samples/sec accuracy=43.798878 loss=2.464476 lr=0.042715 Epoch[122] Batch [1999]/[3759] Speed: 119.111891 samples/sec accuracy=43.794531 loss=2.464116 lr=0.042702 Epoch[122] Batch [2049]/[3759] Speed: 119.622904 samples/sec accuracy=43.819360 loss=2.463942 lr=0.042689 Epoch[122] Batch [2099]/[3759] Speed: 119.088417 samples/sec accuracy=43.828869 loss=2.463349 lr=0.042677 Epoch[122] Batch [2149]/[3759] Speed: 118.797647 samples/sec accuracy=43.834302 loss=2.463172 lr=0.042664 Epoch[122] Batch [2199]/[3759] Speed: 118.869074 samples/sec accuracy=43.840909 loss=2.462348 lr=0.042651 Epoch[122] Batch [2249]/[3759] Speed: 119.362979 samples/sec accuracy=43.820833 loss=2.462759 lr=0.042638 Epoch[122] Batch [2299]/[3759] Speed: 119.040768 samples/sec accuracy=43.841033 loss=2.461506 lr=0.042626 Epoch[122] Batch [2349]/[3759] Speed: 118.670250 samples/sec accuracy=43.851064 loss=2.460567 lr=0.042613 Epoch[122] Batch [2399]/[3759] Speed: 119.340668 samples/sec accuracy=43.833984 loss=2.461650 lr=0.042600 Epoch[122] Batch [2449]/[3759] Speed: 119.244625 samples/sec accuracy=43.804209 loss=2.463119 lr=0.042587 Epoch[122] Batch [2499]/[3759] Speed: 119.978880 samples/sec accuracy=43.805000 loss=2.463362 lr=0.042575 Epoch[122] Batch [2549]/[3759] Speed: 119.604507 samples/sec accuracy=43.814338 loss=2.463043 lr=0.042562 Epoch[122] Batch [2599]/[3759] Speed: 119.424599 samples/sec accuracy=43.782452 loss=2.465275 lr=0.042549 Epoch[122] Batch [2649]/[3759] Speed: 120.041362 samples/sec accuracy=43.785967 loss=2.465073 lr=0.042536 Epoch[122] Batch [2699]/[3759] Speed: 117.788999 samples/sec accuracy=43.760417 loss=2.466005 lr=0.042524 Epoch[122] Batch [2749]/[3759] Speed: 118.549375 samples/sec accuracy=43.732955 loss=2.467222 lr=0.042511 Epoch[122] Batch [2799]/[3759] Speed: 118.468942 samples/sec accuracy=43.751116 loss=2.466091 lr=0.042498 Epoch[122] Batch [2849]/[3759] Speed: 118.563047 samples/sec accuracy=43.781250 loss=2.465505 lr=0.042485 Epoch[122] Batch [2899]/[3759] Speed: 119.646361 samples/sec accuracy=43.771013 loss=2.466405 lr=0.042473 Epoch[122] Batch [2949]/[3759] Speed: 119.314740 samples/sec accuracy=43.773305 loss=2.466224 lr=0.042460 Epoch[122] Batch [2999]/[3759] Speed: 117.142437 samples/sec accuracy=43.766146 loss=2.466178 lr=0.042447 Epoch[122] Batch [3049]/[3759] Speed: 119.444972 samples/sec accuracy=43.764344 loss=2.466417 lr=0.042434 Epoch[122] Batch [3099]/[3759] Speed: 120.245811 samples/sec accuracy=43.780242 loss=2.465339 lr=0.042422 Epoch[122] Batch [3149]/[3759] Speed: 119.417913 samples/sec accuracy=43.800595 loss=2.464847 lr=0.042409 Epoch[122] Batch [3199]/[3759] Speed: 119.455947 samples/sec accuracy=43.796875 loss=2.464944 lr=0.042396 Epoch[122] Batch [3249]/[3759] Speed: 118.709224 samples/sec accuracy=43.790865 loss=2.465781 lr=0.042383 Epoch[122] Batch [3299]/[3759] Speed: 119.394504 samples/sec accuracy=43.813920 loss=2.465608 lr=0.042371 Epoch[122] Batch [3349]/[3759] Speed: 120.174168 samples/sec accuracy=43.826026 loss=2.465214 lr=0.042358 Epoch[122] Batch [3399]/[3759] Speed: 120.018913 samples/sec accuracy=43.815717 loss=2.465396 lr=0.042345 Epoch[122] Batch [3449]/[3759] Speed: 119.432660 samples/sec accuracy=43.808424 loss=2.465763 lr=0.042332 Epoch[122] Batch [3499]/[3759] Speed: 119.665985 samples/sec accuracy=43.775446 loss=2.466595 lr=0.042320 Epoch[122] Batch [3549]/[3759] Speed: 119.673032 samples/sec accuracy=43.763644 loss=2.467246 lr=0.042307 Epoch[122] Batch [3599]/[3759] Speed: 119.100297 samples/sec accuracy=43.757812 loss=2.467163 lr=0.042294 Epoch[122] Batch [3649]/[3759] Speed: 120.091303 samples/sec accuracy=43.763699 loss=2.467056 lr=0.042281 Epoch[122] Batch [3699]/[3759] Speed: 119.523274 samples/sec accuracy=43.763514 loss=2.467352 lr=0.042269 Epoch[122] Batch [3749]/[3759] Speed: 123.479076 samples/sec accuracy=43.759167 loss=2.467348 lr=0.042256 Batch [0049]/[0303]: acc-top1=44.375000 acc-top5=69.250000 Batch [0099]/[0303]: acc-top1=41.437500 acc-top5=67.781250 Batch [0149]/[0303]: acc-top1=42.770833 acc-top5=68.947917 Batch [0199]/[0303]: acc-top1=45.671875 acc-top5=70.703125 Batch [0249]/[0303]: acc-top1=45.056250 acc-top5=70.350000 Batch [0299]/[0303]: acc-top1=44.479167 acc-top5=70.380208 [Epoch 122] training: accuracy=43.751663 loss=2.467555 [Epoch 122] speed: 118 samples/sec time cost: 2142.984847 [Epoch 122] validation: acc-top1=44.353342 acc-top5=70.338284 loss=2.641095 Epoch[123] Batch [0049]/[3760] Speed: 89.032191 samples/sec accuracy=44.312500 loss=2.445420 lr=0.042241 Epoch[123] Batch [0099]/[3760] Speed: 119.176494 samples/sec accuracy=44.187500 loss=2.458413 lr=0.042228 Epoch[123] Batch [0149]/[3760] Speed: 119.940632 samples/sec accuracy=44.385417 loss=2.435049 lr=0.042215 Epoch[123] Batch [0199]/[3760] Speed: 120.266810 samples/sec accuracy=44.515625 loss=2.437972 lr=0.042203 Epoch[123] Batch [0249]/[3760] Speed: 118.978459 samples/sec accuracy=44.256250 loss=2.453294 lr=0.042190 Epoch[123] Batch [0299]/[3760] Speed: 117.567977 samples/sec accuracy=44.343750 loss=2.450745 lr=0.042177 Epoch[123] Batch [0349]/[3760] Speed: 119.622925 samples/sec accuracy=44.303571 loss=2.453326 lr=0.042164 Epoch[123] Batch [0399]/[3760] Speed: 118.785598 samples/sec accuracy=44.363281 loss=2.446398 lr=0.042152 Epoch[123] Batch [0449]/[3760] 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accuracy=44.300347 loss=2.445208 lr=0.042024 Epoch[123] Batch [0949]/[3760] Speed: 120.448500 samples/sec accuracy=44.375000 loss=2.441787 lr=0.042012 Epoch[123] Batch [0999]/[3760] Speed: 120.144525 samples/sec accuracy=44.462500 loss=2.438444 lr=0.041999 Epoch[123] Batch [1049]/[3760] Speed: 119.572677 samples/sec accuracy=44.416667 loss=2.441417 lr=0.041986 Epoch[123] Batch [1099]/[3760] Speed: 119.317787 samples/sec accuracy=44.420455 loss=2.440537 lr=0.041973 Epoch[123] Batch [1149]/[3760] Speed: 119.880947 samples/sec accuracy=44.383152 loss=2.440549 lr=0.041961 Epoch[123] Batch [1199]/[3760] Speed: 119.360868 samples/sec accuracy=44.352865 loss=2.441383 lr=0.041948 Epoch[123] Batch [1249]/[3760] Speed: 118.987474 samples/sec accuracy=44.290000 loss=2.445011 lr=0.041935 Epoch[123] Batch [1299]/[3760] Speed: 118.355879 samples/sec accuracy=44.280048 loss=2.445297 lr=0.041922 Epoch[123] Batch [1349]/[3760] Speed: 118.802839 samples/sec accuracy=44.303241 loss=2.443757 lr=0.041910 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Epoch[123] Batch [3749]/[3760] Speed: 123.046171 samples/sec accuracy=44.000000 loss=2.453503 lr=0.041299 Batch [0049]/[0303]: acc-top1=40.593750 acc-top5=67.593750 Batch [0099]/[0303]: acc-top1=39.906250 acc-top5=66.890625 Batch [0149]/[0303]: acc-top1=41.822917 acc-top5=68.166667 Batch [0199]/[0303]: acc-top1=44.515625 acc-top5=70.296875 Batch [0249]/[0303]: acc-top1=43.425000 acc-top5=69.962500 Batch [0299]/[0303]: acc-top1=42.817708 acc-top5=69.921875 [Epoch 123] training: accuracy=44.000166 loss=2.453501 [Epoch 123] speed: 118 samples/sec time cost: 2141.336301 [Epoch 123] validation: acc-top1=42.739274 acc-top5=69.879332 loss=2.756129 Epoch[124] Batch [0049]/[3760] Speed: 88.382024 samples/sec accuracy=45.250000 loss=2.369367 lr=0.041284 Epoch[124] Batch [0099]/[3760] Speed: 119.208077 samples/sec accuracy=45.265625 loss=2.392256 lr=0.041271 Epoch[124] Batch [0149]/[3760] Speed: 119.755435 samples/sec accuracy=44.906250 loss=2.413363 lr=0.041259 Epoch[124] Batch [0199]/[3760] 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accuracy=44.310938 loss=2.438755 lr=0.040536 Epoch[124] Batch [3049]/[3760] Speed: 118.753566 samples/sec accuracy=44.291496 loss=2.438613 lr=0.040523 Epoch[124] Batch [3099]/[3760] Speed: 120.081570 samples/sec accuracy=44.332661 loss=2.436729 lr=0.040511 Epoch[124] Batch [3149]/[3760] Speed: 119.499093 samples/sec accuracy=44.317956 loss=2.438165 lr=0.040498 Epoch[124] Batch [3199]/[3760] Speed: 119.913084 samples/sec accuracy=44.313965 loss=2.438144 lr=0.040485 Epoch[124] Batch [3249]/[3760] Speed: 119.014148 samples/sec accuracy=44.309615 loss=2.439005 lr=0.040473 Epoch[124] Batch [3299]/[3760] Speed: 120.048485 samples/sec accuracy=44.296875 loss=2.439659 lr=0.040460 Epoch[124] Batch [3349]/[3760] Speed: 119.904030 samples/sec accuracy=44.294776 loss=2.439746 lr=0.040447 Epoch[124] Batch [3399]/[3760] Speed: 120.027783 samples/sec accuracy=44.281710 loss=2.440858 lr=0.040435 Epoch[124] Batch [3449]/[3760] Speed: 119.838633 samples/sec accuracy=44.272192 loss=2.440881 lr=0.040422 Epoch[124] Batch [3499]/[3760] Speed: 119.030642 samples/sec accuracy=44.271429 loss=2.440507 lr=0.040409 Epoch[124] Batch [3549]/[3760] Speed: 119.508397 samples/sec accuracy=44.274208 loss=2.440156 lr=0.040397 Epoch[124] Batch [3599]/[3760] Speed: 119.637318 samples/sec accuracy=44.270833 loss=2.440211 lr=0.040384 Epoch[124] Batch [3649]/[3760] Speed: 119.551673 samples/sec accuracy=44.279110 loss=2.439873 lr=0.040371 Epoch[124] Batch [3699]/[3760] Speed: 120.881673 samples/sec accuracy=44.266470 loss=2.440098 lr=0.040359 Epoch[124] Batch [3749]/[3760] Speed: 123.205002 samples/sec accuracy=44.254583 loss=2.440296 lr=0.040346 Batch [0049]/[0303]: acc-top1=45.218750 acc-top5=71.156250 Batch [0099]/[0303]: acc-top1=41.828125 acc-top5=68.593750 Batch [0149]/[0303]: acc-top1=43.656250 acc-top5=69.822917 Batch [0199]/[0303]: acc-top1=46.296875 acc-top5=71.648438 Batch [0249]/[0303]: acc-top1=45.912500 acc-top5=71.287500 Batch [0299]/[0303]: acc-top1=45.161458 acc-top5=71.218750 [Epoch 124] training: accuracy=44.249086 loss=2.440597 [Epoch 124] speed: 118 samples/sec time cost: 2140.369384 [Epoch 124] validation: acc-top1=45.152640 acc-top5=71.230404 loss=2.531142 Epoch[125] Batch [0049]/[3759] Speed: 88.362843 samples/sec accuracy=44.156250 loss=2.400301 lr=0.040331 Epoch[125] Batch [0099]/[3759] Speed: 119.646501 samples/sec accuracy=44.968750 loss=2.384300 lr=0.040318 Epoch[125] Batch [0149]/[3759] Speed: 119.774890 samples/sec accuracy=44.729167 loss=2.390118 lr=0.040306 Epoch[125] Batch [0199]/[3759] Speed: 119.497201 samples/sec accuracy=44.953125 loss=2.392176 lr=0.040293 Epoch[125] Batch [0249]/[3759] Speed: 117.868397 samples/sec accuracy=45.218750 loss=2.383367 lr=0.040280 Epoch[125] Batch [0299]/[3759] Speed: 119.583882 samples/sec accuracy=45.145833 loss=2.389976 lr=0.040268 Epoch[125] Batch [0349]/[3759] Speed: 118.683399 samples/sec accuracy=45.071429 loss=2.394973 lr=0.040255 Epoch[125] Batch [0399]/[3759] Speed: 119.996503 samples/sec 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119.654503 samples/sec accuracy=44.600084 loss=2.424153 lr=0.039409 Epoch[125] Batch [3749]/[3759] Speed: 123.223648 samples/sec accuracy=44.594583 loss=2.424292 lr=0.039396 Batch [0049]/[0303]: acc-top1=46.343750 acc-top5=71.187500 Batch [0099]/[0303]: acc-top1=42.531250 acc-top5=69.062500 Batch [0149]/[0303]: acc-top1=44.135417 acc-top5=70.125000 Batch [0199]/[0303]: acc-top1=47.210938 acc-top5=72.070312 Batch [0249]/[0303]: acc-top1=46.181250 acc-top5=71.781250 Batch [0299]/[0303]: acc-top1=45.244792 acc-top5=71.697917 [Epoch 125] training: accuracy=44.602953 loss=2.423943 [Epoch 125] speed: 118 samples/sec time cost: 2141.385474 [Epoch 125] validation: acc-top1=45.199051 acc-top5=71.673886 loss=2.564997 Epoch[126] Batch [0049]/[3760] Speed: 86.789141 samples/sec accuracy=44.625000 loss=2.388590 lr=0.039381 Epoch[126] Batch [0099]/[3760] Speed: 118.713632 samples/sec accuracy=46.171875 loss=2.362630 lr=0.039369 Epoch[126] Batch [0149]/[3760] Speed: 119.481050 samples/sec accuracy=45.968750 loss=2.369242 lr=0.039356 Epoch[126] Batch [0199]/[3760] Speed: 118.572698 samples/sec accuracy=45.843750 loss=2.357697 lr=0.039344 Epoch[126] Batch [0249]/[3760] Speed: 118.918004 samples/sec accuracy=45.562500 loss=2.380420 lr=0.039331 Epoch[126] Batch [0299]/[3760] Speed: 119.271078 samples/sec accuracy=45.401042 loss=2.385980 lr=0.039318 Epoch[126] Batch [0349]/[3760] Speed: 119.418156 samples/sec accuracy=45.330357 loss=2.392876 lr=0.039306 Epoch[126] Batch [0399]/[3760] Speed: 119.682746 samples/sec accuracy=45.214844 loss=2.395417 lr=0.039293 Epoch[126] Batch [0449]/[3760] Speed: 119.419339 samples/sec accuracy=45.187500 loss=2.396361 lr=0.039281 Epoch[126] Batch [0499]/[3760] Speed: 119.424568 samples/sec accuracy=45.246875 loss=2.396719 lr=0.039268 Epoch[126] Batch [0549]/[3760] Speed: 119.780153 samples/sec accuracy=45.244318 loss=2.397155 lr=0.039255 Epoch[126] Batch [0599]/[3760] Speed: 119.768719 samples/sec accuracy=45.119792 loss=2.401183 lr=0.039243 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accuracy=44.795625 loss=2.408468 lr=0.038765 Epoch[126] Batch [2549]/[3760] Speed: 119.093282 samples/sec accuracy=44.816176 loss=2.407065 lr=0.038752 Epoch[126] Batch [2599]/[3760] Speed: 119.420673 samples/sec accuracy=44.850962 loss=2.406069 lr=0.038740 Epoch[126] Batch [2649]/[3760] Speed: 119.031419 samples/sec accuracy=44.852005 loss=2.405878 lr=0.038727 Epoch[126] Batch [2699]/[3760] Speed: 118.402117 samples/sec accuracy=44.850116 loss=2.405948 lr=0.038714 Epoch[126] Batch [2749]/[3760] Speed: 118.929281 samples/sec accuracy=44.836932 loss=2.406327 lr=0.038702 Epoch[126] Batch [2799]/[3760] Speed: 119.260328 samples/sec accuracy=44.832589 loss=2.406193 lr=0.038689 Epoch[126] Batch [2849]/[3760] Speed: 119.527060 samples/sec accuracy=44.822917 loss=2.406435 lr=0.038677 Epoch[126] Batch [2899]/[3760] Speed: 120.169362 samples/sec accuracy=44.800647 loss=2.407369 lr=0.038664 Epoch[126] Batch [2949]/[3760] Speed: 119.524231 samples/sec accuracy=44.806144 loss=2.407147 lr=0.038652 Epoch[126] Batch [2999]/[3760] Speed: 119.450583 samples/sec accuracy=44.803646 loss=2.406707 lr=0.038639 Epoch[126] Batch [3049]/[3760] Speed: 119.012426 samples/sec accuracy=44.779713 loss=2.407723 lr=0.038626 Epoch[126] Batch [3099]/[3760] Speed: 117.594484 samples/sec accuracy=44.779738 loss=2.407855 lr=0.038614 Epoch[126] Batch [3149]/[3760] Speed: 120.009924 samples/sec accuracy=44.780754 loss=2.408790 lr=0.038601 Epoch[126] Batch [3199]/[3760] Speed: 119.075455 samples/sec accuracy=44.765137 loss=2.409379 lr=0.038589 Epoch[126] Batch [3249]/[3760] Speed: 119.958096 samples/sec accuracy=44.760577 loss=2.410388 lr=0.038576 Epoch[126] Batch [3299]/[3760] Speed: 119.717334 samples/sec accuracy=44.744318 loss=2.411329 lr=0.038564 Epoch[126] Batch [3349]/[3760] Speed: 119.068327 samples/sec accuracy=44.746735 loss=2.411350 lr=0.038551 Epoch[126] Batch [3399]/[3760] Speed: 118.867551 samples/sec accuracy=44.749081 loss=2.411943 lr=0.038539 Epoch[126] Batch [3449]/[3760] Speed: 118.972117 samples/sec accuracy=44.743207 loss=2.412344 lr=0.038526 Epoch[126] Batch [3499]/[3760] Speed: 120.370264 samples/sec accuracy=44.751339 loss=2.412802 lr=0.038513 Epoch[126] Batch [3549]/[3760] Speed: 119.219918 samples/sec accuracy=44.746919 loss=2.413288 lr=0.038501 Epoch[126] Batch [3599]/[3760] Speed: 120.217103 samples/sec accuracy=44.756076 loss=2.413022 lr=0.038488 Epoch[126] Batch [3649]/[3760] Speed: 119.778489 samples/sec accuracy=44.760274 loss=2.413162 lr=0.038476 Epoch[126] Batch [3699]/[3760] Speed: 119.187708 samples/sec accuracy=44.762669 loss=2.413512 lr=0.038463 Epoch[126] Batch [3749]/[3760] Speed: 123.673090 samples/sec accuracy=44.756667 loss=2.414239 lr=0.038451 Batch [0049]/[0303]: acc-top1=46.406250 acc-top5=71.437500 Batch [0099]/[0303]: acc-top1=43.031250 acc-top5=69.546875 Batch [0149]/[0303]: acc-top1=45.135417 acc-top5=70.364583 Batch [0199]/[0303]: acc-top1=46.953125 acc-top5=71.914062 Batch [0249]/[0303]: acc-top1=46.593750 acc-top5=71.975000 Batch [0299]/[0303]: acc-top1=46.447917 acc-top5=72.156250 [Epoch 126] training: accuracy=44.758561 loss=2.414119 [Epoch 126] speed: 118 samples/sec time cost: 2144.983390 [Epoch 126] validation: acc-top1=46.436675 acc-top5=72.205033 loss=2.485758 Epoch[127] Batch [0049]/[3760] Speed: 87.958913 samples/sec accuracy=44.843750 loss=2.379780 lr=0.038436 Epoch[127] Batch [0099]/[3760] Speed: 119.598057 samples/sec accuracy=45.984375 loss=2.345922 lr=0.038423 Epoch[127] Batch [0149]/[3760] Speed: 119.327402 samples/sec accuracy=45.802083 loss=2.360164 lr=0.038411 Epoch[127] Batch [0199]/[3760] Speed: 119.943044 samples/sec accuracy=45.445312 loss=2.366579 lr=0.038398 Epoch[127] Batch [0249]/[3760] Speed: 119.502191 samples/sec accuracy=45.387500 loss=2.366858 lr=0.038385 Epoch[127] Batch [0299]/[3760] Speed: 119.426522 samples/sec accuracy=45.484375 loss=2.364091 lr=0.038373 Epoch[127] Batch [0349]/[3760] Speed: 119.733285 samples/sec accuracy=45.598214 loss=2.356866 lr=0.038360 Epoch[127] 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accuracy=44.959028 loss=2.401985 lr=0.037884 Epoch[127] Batch [2299]/[3760] Speed: 119.616171 samples/sec accuracy=44.962636 loss=2.402685 lr=0.037872 Epoch[127] Batch [2349]/[3760] Speed: 118.973553 samples/sec accuracy=44.969415 loss=2.402681 lr=0.037859 Epoch[127] Batch [2399]/[3760] Speed: 119.525342 samples/sec accuracy=44.946615 loss=2.403969 lr=0.037847 Epoch[127] Batch [2449]/[3760] Speed: 119.085004 samples/sec accuracy=44.952806 loss=2.403274 lr=0.037834 Epoch[127] Batch [2499]/[3760] Speed: 119.045489 samples/sec accuracy=44.973125 loss=2.402435 lr=0.037822 Epoch[127] Batch [2549]/[3760] Speed: 120.273616 samples/sec accuracy=44.974265 loss=2.402397 lr=0.037809 Epoch[127] Batch [2599]/[3760] Speed: 119.489849 samples/sec accuracy=44.950721 loss=2.402975 lr=0.037797 Epoch[127] Batch [2649]/[3760] Speed: 117.036187 samples/sec accuracy=44.960495 loss=2.402284 lr=0.037784 Epoch[127] Batch [2699]/[3760] Speed: 119.018561 samples/sec accuracy=44.970486 loss=2.402687 lr=0.037772 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loss=2.403746 lr=0.037534 Epoch[127] Batch [3699]/[3760] Speed: 119.524690 samples/sec accuracy=44.943412 loss=2.403907 lr=0.037522 Epoch[127] Batch [3749]/[3760] Speed: 123.059315 samples/sec accuracy=44.927917 loss=2.404723 lr=0.037509 Batch [0049]/[0303]: acc-top1=45.593750 acc-top5=70.468750 Batch [0099]/[0303]: acc-top1=42.718750 acc-top5=68.593750 Batch [0149]/[0303]: acc-top1=44.885417 acc-top5=70.208333 Batch [0199]/[0303]: acc-top1=47.750000 acc-top5=72.320312 Batch [0249]/[0303]: acc-top1=46.831250 acc-top5=72.181250 Batch [0299]/[0303]: acc-top1=46.140625 acc-top5=72.244792 [Epoch 127] training: accuracy=44.919382 loss=2.405192 [Epoch 127] speed: 118 samples/sec time cost: 2140.257871 [Epoch 127] validation: acc-top1=46.158210 acc-top5=72.225660 loss=2.542763 Epoch[128] Batch [0049]/[3759] Speed: 89.707494 samples/sec accuracy=45.312500 loss=2.394720 lr=0.037494 Epoch[128] Batch [0099]/[3759] Speed: 119.466142 samples/sec accuracy=45.515625 loss=2.383506 lr=0.037482 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loss=2.373306 lr=0.037245 Epoch[128] Batch [1099]/[3759] Speed: 119.834148 samples/sec accuracy=45.571023 loss=2.371275 lr=0.037232 Epoch[128] Batch [1149]/[3759] Speed: 119.670551 samples/sec accuracy=45.610054 loss=2.370791 lr=0.037220 Epoch[128] Batch [1199]/[3759] Speed: 120.272855 samples/sec accuracy=45.585938 loss=2.373794 lr=0.037207 Epoch[128] Batch [1249]/[3759] Speed: 119.413915 samples/sec accuracy=45.660000 loss=2.371942 lr=0.037195 Epoch[128] Batch [1299]/[3759] Speed: 118.768112 samples/sec accuracy=45.681490 loss=2.371969 lr=0.037182 Epoch[128] Batch [1349]/[3759] Speed: 120.168867 samples/sec accuracy=45.633102 loss=2.371561 lr=0.037170 Epoch[128] Batch [1399]/[3759] Speed: 118.940814 samples/sec accuracy=45.628348 loss=2.372498 lr=0.037157 Epoch[128] Batch [1449]/[3759] Speed: 119.043986 samples/sec accuracy=45.643319 loss=2.371740 lr=0.037145 Epoch[128] Batch [1499]/[3759] Speed: 119.683002 samples/sec accuracy=45.625000 loss=2.372862 lr=0.037133 Epoch[128] Batch 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accuracy=45.506250 loss=2.377419 lr=0.037008 Epoch[128] Batch [2049]/[3759] Speed: 119.315802 samples/sec accuracy=45.502287 loss=2.376891 lr=0.036996 Epoch[128] Batch [2099]/[3759] Speed: 119.869513 samples/sec accuracy=45.537946 loss=2.376080 lr=0.036983 Epoch[128] Batch [2149]/[3759] Speed: 120.481244 samples/sec accuracy=45.496366 loss=2.378434 lr=0.036971 Epoch[128] Batch [2199]/[3759] Speed: 119.357294 samples/sec accuracy=45.505682 loss=2.378544 lr=0.036958 Epoch[128] Batch [2249]/[3759] Speed: 118.270286 samples/sec accuracy=45.493750 loss=2.379567 lr=0.036946 Epoch[128] Batch [2299]/[3759] Speed: 119.353353 samples/sec accuracy=45.514266 loss=2.379724 lr=0.036933 Epoch[128] Batch [2349]/[3759] Speed: 119.418443 samples/sec accuracy=45.507314 loss=2.379129 lr=0.036921 Epoch[128] Batch [2399]/[3759] Speed: 120.249826 samples/sec accuracy=45.556641 loss=2.377235 lr=0.036908 Epoch[128] Batch [2449]/[3759] Speed: 120.107774 samples/sec accuracy=45.570791 loss=2.376558 lr=0.036896 Epoch[128] Batch [2499]/[3759] Speed: 118.481077 samples/sec accuracy=45.548750 loss=2.377567 lr=0.036883 Epoch[128] Batch [2549]/[3759] Speed: 119.556974 samples/sec accuracy=45.554534 loss=2.376801 lr=0.036871 Epoch[128] Batch [2599]/[3759] Speed: 119.617172 samples/sec accuracy=45.551082 loss=2.376988 lr=0.036859 Epoch[128] Batch [2649]/[3759] Speed: 119.715322 samples/sec accuracy=45.530071 loss=2.378226 lr=0.036846 Epoch[128] Batch [2699]/[3759] Speed: 119.387905 samples/sec accuracy=45.523148 loss=2.378682 lr=0.036834 Epoch[128] Batch [2749]/[3759] Speed: 120.430234 samples/sec accuracy=45.544318 loss=2.377740 lr=0.036821 Epoch[128] Batch [2799]/[3759] Speed: 119.717847 samples/sec accuracy=45.536272 loss=2.378266 lr=0.036809 Epoch[128] Batch [2849]/[3759] Speed: 119.804490 samples/sec accuracy=45.509868 loss=2.379650 lr=0.036796 Epoch[128] Batch [2899]/[3759] Speed: 119.059018 samples/sec accuracy=45.507004 loss=2.379286 lr=0.036784 Epoch[128] Batch [2949]/[3759] Speed: 120.860509 samples/sec accuracy=45.500530 loss=2.378936 lr=0.036771 Epoch[128] Batch [2999]/[3759] Speed: 119.497578 samples/sec accuracy=45.474479 loss=2.379784 lr=0.036759 Epoch[128] Batch [3049]/[3759] Speed: 119.913481 samples/sec accuracy=45.464139 loss=2.379975 lr=0.036747 Epoch[128] Batch [3099]/[3759] Speed: 119.840667 samples/sec accuracy=45.472278 loss=2.379859 lr=0.036734 Epoch[128] Batch [3149]/[3759] Speed: 119.558328 samples/sec accuracy=45.490575 loss=2.379403 lr=0.036722 Epoch[128] Batch [3199]/[3759] Speed: 120.170809 samples/sec accuracy=45.497070 loss=2.379482 lr=0.036709 Epoch[128] Batch [3249]/[3759] Speed: 118.987380 samples/sec accuracy=45.479808 loss=2.380322 lr=0.036697 Epoch[128] Batch [3299]/[3759] Speed: 117.958328 samples/sec accuracy=45.476326 loss=2.381613 lr=0.036684 Epoch[128] Batch [3349]/[3759] Speed: 119.872180 samples/sec accuracy=45.465951 loss=2.382072 lr=0.036672 Epoch[128] Batch [3399]/[3759] Speed: 120.115644 samples/sec accuracy=45.450827 loss=2.382780 lr=0.036660 Epoch[128] Batch [3449]/[3759] Speed: 119.690478 samples/sec accuracy=45.441576 loss=2.382713 lr=0.036647 Epoch[128] Batch [3499]/[3759] Speed: 119.818292 samples/sec accuracy=45.447321 loss=2.383025 lr=0.036635 Epoch[128] Batch [3549]/[3759] Speed: 119.006755 samples/sec accuracy=45.428257 loss=2.384193 lr=0.036622 Epoch[128] Batch [3599]/[3759] Speed: 118.826522 samples/sec accuracy=45.407552 loss=2.385025 lr=0.036610 Epoch[128] Batch [3649]/[3759] Speed: 119.171201 samples/sec accuracy=45.388699 loss=2.385983 lr=0.036597 Epoch[128] Batch [3699]/[3759] Speed: 119.877158 samples/sec accuracy=45.388091 loss=2.386353 lr=0.036585 Epoch[128] Batch [3749]/[3759] Speed: 123.834912 samples/sec accuracy=45.387917 loss=2.386087 lr=0.036573 Batch [0049]/[0303]: acc-top1=43.437500 acc-top5=70.812500 Batch [0099]/[0303]: acc-top1=41.484375 acc-top5=69.000000 Batch [0149]/[0303]: acc-top1=43.916667 acc-top5=69.968750 Batch [0199]/[0303]: acc-top1=46.398438 acc-top5=71.671875 Batch [0249]/[0303]: acc-top1=45.581250 acc-top5=71.593750 Batch [0299]/[0303]: acc-top1=45.052083 acc-top5=71.697917 [Epoch 128] training: accuracy=45.387736 loss=2.386039 [Epoch 128] speed: 118 samples/sec time cost: 2139.127372 [Epoch 128] validation: acc-top1=45.028878 acc-top5=71.746081 loss=2.561300 Epoch[129] Batch [0049]/[3760] Speed: 89.254344 samples/sec accuracy=45.312500 loss=2.365267 lr=0.036558 Epoch[129] Batch [0099]/[3760] Speed: 120.242521 samples/sec accuracy=45.687500 loss=2.339439 lr=0.036546 Epoch[129] Batch [0149]/[3760] Speed: 118.963072 samples/sec accuracy=45.750000 loss=2.334596 lr=0.036533 Epoch[129] Batch [0199]/[3760] Speed: 119.751345 samples/sec accuracy=45.492188 loss=2.344924 lr=0.036521 Epoch[129] Batch [0249]/[3760] Speed: 119.252568 samples/sec accuracy=45.831250 loss=2.341335 lr=0.036508 Epoch[129] Batch [0299]/[3760] Speed: 119.854015 samples/sec accuracy=45.796875 loss=2.347890 lr=0.036496 Epoch[129] Batch [0349]/[3760] Speed: 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[3649]/[3760] Speed: 118.960135 samples/sec accuracy=45.506849 loss=2.377520 lr=0.035666 Epoch[129] Batch [3699]/[3760] Speed: 119.130284 samples/sec accuracy=45.526182 loss=2.376226 lr=0.035654 Epoch[129] Batch [3749]/[3760] Speed: 123.368149 samples/sec accuracy=45.519583 loss=2.376541 lr=0.035641 Batch [0049]/[0303]: acc-top1=47.656250 acc-top5=72.750000 Batch [0099]/[0303]: acc-top1=43.546875 acc-top5=70.078125 Batch [0149]/[0303]: acc-top1=45.427083 acc-top5=71.156250 Batch [0199]/[0303]: acc-top1=48.117188 acc-top5=72.890625 Batch [0249]/[0303]: acc-top1=47.306250 acc-top5=72.512500 Batch [0299]/[0303]: acc-top1=46.541667 acc-top5=72.442708 [Epoch 129] training: accuracy=45.524019 loss=2.376292 [Epoch 129] speed: 118 samples/sec time cost: 2140.861873 [Epoch 129] validation: acc-top1=46.560437 acc-top5=72.478342 loss=2.515413 Epoch[130] Batch [0049]/[3759] Speed: 87.443937 samples/sec accuracy=46.875000 loss=2.325896 lr=0.035626 Epoch[130] Batch [0099]/[3759] Speed: 120.505911 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acc-top5=72.437500 Batch [0199]/[0303]: acc-top1=49.085938 acc-top5=73.679688 Batch [0249]/[0303]: acc-top1=47.887500 acc-top5=73.306250 Batch [0299]/[0303]: acc-top1=47.161458 acc-top5=73.223958 [Epoch 130] training: accuracy=45.956787 loss=2.359179 [Epoch 130] speed: 118 samples/sec time cost: 2140.258534 [Epoch 130] validation: acc-top1=47.215347 acc-top5=73.251856 loss=2.418622 Epoch[131] Batch [0049]/[3760] Speed: 90.432891 samples/sec accuracy=45.812500 loss=2.342650 lr=0.034700 Epoch[131] Batch [0099]/[3760] Speed: 120.472996 samples/sec accuracy=46.234375 loss=2.317456 lr=0.034688 Epoch[131] Batch [0149]/[3760] Speed: 119.133218 samples/sec accuracy=46.343750 loss=2.312449 lr=0.034676 Epoch[131] Batch [0199]/[3760] Speed: 118.661427 samples/sec accuracy=46.304688 loss=2.321430 lr=0.034664 Epoch[131] Batch [0249]/[3760] Speed: 119.406830 samples/sec accuracy=46.306250 loss=2.323398 lr=0.034651 Epoch[131] Batch [0299]/[3760] Speed: 119.097167 samples/sec accuracy=46.666667 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accuracy=46.071615 loss=2.346361 lr=0.033831 Epoch[131] Batch [3649]/[3760] Speed: 119.699833 samples/sec accuracy=46.071490 loss=2.346880 lr=0.033819 Epoch[131] Batch [3699]/[3760] Speed: 119.287689 samples/sec accuracy=46.072635 loss=2.347135 lr=0.033807 Epoch[131] Batch [3749]/[3760] Speed: 122.831551 samples/sec accuracy=46.098333 loss=2.346363 lr=0.033795 Batch [0049]/[0303]: acc-top1=46.156250 acc-top5=72.000000 Batch [0099]/[0303]: acc-top1=42.546875 acc-top5=69.484375 Batch [0149]/[0303]: acc-top1=44.104167 acc-top5=70.437500 Batch [0199]/[0303]: acc-top1=46.890625 acc-top5=72.367188 Batch [0249]/[0303]: acc-top1=46.250000 acc-top5=72.225000 Batch [0299]/[0303]: acc-top1=45.875000 acc-top5=72.307292 [Epoch 131] training: accuracy=46.099568 loss=2.346123 [Epoch 131] speed: 118 samples/sec time cost: 2144.915369 [Epoch 131] validation: acc-top1=45.869431 acc-top5=72.318482 loss=2.584064 Epoch[132] Batch [0049]/[3760] Speed: 89.049998 samples/sec accuracy=45.906250 loss=2.349725 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accuracy=46.725000 loss=2.309478 lr=0.033548 Epoch[132] Batch [1049]/[3760] Speed: 119.093145 samples/sec accuracy=46.715774 loss=2.308201 lr=0.033536 Epoch[132] Batch [1099]/[3760] Speed: 118.794539 samples/sec accuracy=46.681818 loss=2.309388 lr=0.033524 Epoch[132] Batch [1149]/[3760] Speed: 119.149473 samples/sec accuracy=46.665761 loss=2.309503 lr=0.033512 Epoch[132] Batch [1199]/[3760] Speed: 119.149171 samples/sec accuracy=46.630208 loss=2.310623 lr=0.033500 Epoch[132] Batch [1249]/[3760] Speed: 119.774086 samples/sec accuracy=46.625000 loss=2.312376 lr=0.033487 Epoch[132] Batch [1299]/[3760] Speed: 119.608193 samples/sec accuracy=46.598558 loss=2.314091 lr=0.033475 Epoch[132] Batch [1349]/[3760] Speed: 119.947142 samples/sec accuracy=46.583333 loss=2.313566 lr=0.033463 Epoch[132] Batch [1399]/[3760] Speed: 118.936462 samples/sec accuracy=46.636161 loss=2.312169 lr=0.033451 Epoch[132] Batch [1449]/[3760] Speed: 120.164718 samples/sec accuracy=46.621767 loss=2.313066 lr=0.033439 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accuracy=46.336754 loss=2.333695 lr=0.032977 Epoch[132] Batch [3399]/[3760] Speed: 119.696136 samples/sec accuracy=46.330882 loss=2.334215 lr=0.032965 Epoch[132] Batch [3449]/[3760] Speed: 120.138809 samples/sec accuracy=46.337409 loss=2.333947 lr=0.032953 Epoch[132] Batch [3499]/[3760] Speed: 119.324312 samples/sec accuracy=46.316518 loss=2.334406 lr=0.032941 Epoch[132] Batch [3549]/[3760] Speed: 119.648285 samples/sec accuracy=46.323944 loss=2.334162 lr=0.032929 Epoch[132] Batch [3599]/[3760] Speed: 120.351749 samples/sec accuracy=46.303385 loss=2.334656 lr=0.032917 Epoch[132] Batch [3649]/[3760] Speed: 119.146083 samples/sec accuracy=46.320205 loss=2.333788 lr=0.032904 Epoch[132] Batch [3699]/[3760] Speed: 120.385955 samples/sec accuracy=46.304899 loss=2.334321 lr=0.032892 Epoch[132] Batch [3749]/[3760] Speed: 123.274264 samples/sec accuracy=46.309167 loss=2.334583 lr=0.032880 Batch [0049]/[0303]: acc-top1=47.125000 acc-top5=72.250000 Batch [0099]/[0303]: acc-top1=43.937500 acc-top5=71.140625 Batch [0149]/[0303]: acc-top1=45.906250 acc-top5=72.177083 Batch [0199]/[0303]: acc-top1=48.531250 acc-top5=73.750000 Batch [0249]/[0303]: acc-top1=48.081250 acc-top5=73.512500 Batch [0299]/[0303]: acc-top1=47.223958 acc-top5=73.260417 [Epoch 132] training: accuracy=46.300698 loss=2.334806 [Epoch 132] speed: 118 samples/sec time cost: 2142.453929 [Epoch 132] validation: acc-top1=47.230817 acc-top5=73.308581 loss=2.474929 Epoch[133] Batch [0049]/[3759] Speed: 86.865004 samples/sec accuracy=48.125000 loss=2.247641 lr=0.032866 Epoch[133] Batch [0099]/[3759] Speed: 119.657509 samples/sec accuracy=48.250000 loss=2.256533 lr=0.032854 Epoch[133] Batch [0149]/[3759] Speed: 120.041114 samples/sec accuracy=48.125000 loss=2.254859 lr=0.032841 Epoch[133] Batch [0199]/[3759] Speed: 119.842942 samples/sec accuracy=47.960938 loss=2.276506 lr=0.032829 Epoch[133] Batch [0249]/[3759] Speed: 119.520671 samples/sec accuracy=48.112500 loss=2.268894 lr=0.032817 Epoch[133] Batch 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accuracy=46.479335 loss=2.319898 lr=0.032129 Epoch[133] Batch [3149]/[3759] Speed: 119.567440 samples/sec accuracy=46.471726 loss=2.319954 lr=0.032117 Epoch[133] Batch [3199]/[3759] Speed: 120.184254 samples/sec accuracy=46.450195 loss=2.321017 lr=0.032105 Epoch[133] Batch [3249]/[3759] Speed: 118.888464 samples/sec accuracy=46.437981 loss=2.321013 lr=0.032093 Epoch[133] Batch [3299]/[3759] Speed: 119.090095 samples/sec accuracy=46.454072 loss=2.320461 lr=0.032081 Epoch[133] Batch [3349]/[3759] Speed: 120.143530 samples/sec accuracy=46.448228 loss=2.320460 lr=0.032068 Epoch[133] Batch [3399]/[3759] Speed: 119.129576 samples/sec accuracy=46.455423 loss=2.320807 lr=0.032056 Epoch[133] Batch [3449]/[3759] Speed: 119.505196 samples/sec accuracy=46.478714 loss=2.320364 lr=0.032044 Epoch[133] Batch [3499]/[3759] Speed: 119.862682 samples/sec accuracy=46.492857 loss=2.319542 lr=0.032032 Epoch[133] Batch [3549]/[3759] Speed: 119.362385 samples/sec accuracy=46.466989 loss=2.321265 lr=0.032020 Epoch[133] Batch [3599]/[3759] Speed: 119.752127 samples/sec accuracy=46.435330 loss=2.322287 lr=0.032008 Epoch[133] Batch [3649]/[3759] Speed: 120.206567 samples/sec accuracy=46.425086 loss=2.323179 lr=0.031996 Epoch[133] Batch [3699]/[3759] Speed: 119.641316 samples/sec accuracy=46.440878 loss=2.322565 lr=0.031984 Epoch[133] Batch [3749]/[3759] Speed: 123.532188 samples/sec accuracy=46.435833 loss=2.322442 lr=0.031972 Batch [0049]/[0303]: acc-top1=48.750000 acc-top5=72.687500 Batch [0099]/[0303]: acc-top1=44.046875 acc-top5=70.296875 Batch [0149]/[0303]: acc-top1=46.031250 acc-top5=71.447917 Batch [0199]/[0303]: acc-top1=48.976562 acc-top5=73.484375 Batch [0249]/[0303]: acc-top1=48.337500 acc-top5=73.181250 Batch [0299]/[0303]: acc-top1=47.770833 acc-top5=73.390625 [Epoch 133] training: accuracy=46.437300 loss=2.322460 [Epoch 133] speed: 118 samples/sec time cost: 2140.406327 [Epoch 133] validation: acc-top1=47.772277 acc-top5=73.432343 loss=2.401706 Epoch[134] Batch [0049]/[3760] 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accuracy=47.278125 loss=2.273443 lr=0.031850 Epoch[134] Batch [0549]/[3760] Speed: 119.688542 samples/sec accuracy=47.224432 loss=2.274707 lr=0.031838 Epoch[134] Batch [0599]/[3760] Speed: 119.588510 samples/sec accuracy=47.257812 loss=2.277785 lr=0.031826 Epoch[134] Batch [0649]/[3760] Speed: 120.281895 samples/sec accuracy=47.189904 loss=2.284994 lr=0.031814 Epoch[134] Batch [0699]/[3760] Speed: 120.236389 samples/sec accuracy=47.209821 loss=2.285136 lr=0.031802 Epoch[134] Batch [0749]/[3760] Speed: 119.427425 samples/sec accuracy=47.222917 loss=2.285057 lr=0.031790 Epoch[134] Batch [0799]/[3760] Speed: 119.438810 samples/sec accuracy=47.105469 loss=2.290151 lr=0.031778 Epoch[134] Batch [0849]/[3760] Speed: 119.785394 samples/sec accuracy=47.023897 loss=2.293090 lr=0.031766 Epoch[134] Batch [0899]/[3760] Speed: 120.907003 samples/sec accuracy=47.052083 loss=2.291450 lr=0.031754 Epoch[134] Batch [0949]/[3760] Speed: 119.548879 samples/sec accuracy=47.074013 loss=2.289604 lr=0.031742 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accuracy=46.864583 loss=2.306467 lr=0.031286 Epoch[134] Batch [2899]/[3760] Speed: 119.354310 samples/sec accuracy=46.851832 loss=2.307572 lr=0.031274 Epoch[134] Batch [2949]/[3760] Speed: 119.188077 samples/sec accuracy=46.874470 loss=2.306629 lr=0.031262 Epoch[134] Batch [2999]/[3760] Speed: 119.850156 samples/sec accuracy=46.863021 loss=2.306470 lr=0.031250 Epoch[134] Batch [3049]/[3760] Speed: 119.824471 samples/sec accuracy=46.823770 loss=2.307535 lr=0.031238 Epoch[134] Batch [3099]/[3760] Speed: 118.807893 samples/sec accuracy=46.825605 loss=2.307575 lr=0.031227 Epoch[134] Batch [3149]/[3760] Speed: 119.074939 samples/sec accuracy=46.813492 loss=2.308200 lr=0.031215 Epoch[134] Batch [3199]/[3760] Speed: 120.441940 samples/sec accuracy=46.824219 loss=2.308298 lr=0.031203 Epoch[134] Batch [3249]/[3760] Speed: 119.053984 samples/sec accuracy=46.826442 loss=2.308467 lr=0.031191 Epoch[134] Batch [3299]/[3760] Speed: 120.102379 samples/sec accuracy=46.817235 loss=2.309131 lr=0.031179 Epoch[134] Batch [3349]/[3760] Speed: 119.965062 samples/sec accuracy=46.822295 loss=2.309303 lr=0.031167 Epoch[134] Batch [3399]/[3760] Speed: 118.910979 samples/sec accuracy=46.800551 loss=2.309876 lr=0.031155 Epoch[134] Batch [3449]/[3760] Speed: 119.900941 samples/sec accuracy=46.794384 loss=2.309461 lr=0.031143 Epoch[134] Batch [3499]/[3760] Speed: 119.359960 samples/sec accuracy=46.802679 loss=2.308911 lr=0.031131 Epoch[134] Batch [3549]/[3760] Speed: 117.621797 samples/sec accuracy=46.768486 loss=2.310319 lr=0.031119 Epoch[134] Batch [3599]/[3760] Speed: 119.430852 samples/sec accuracy=46.765625 loss=2.310801 lr=0.031107 Epoch[134] Batch [3649]/[3760] Speed: 119.621823 samples/sec accuracy=46.770548 loss=2.310915 lr=0.031095 Epoch[134] Batch [3699]/[3760] Speed: 120.249427 samples/sec accuracy=46.778294 loss=2.310630 lr=0.031083 Epoch[134] Batch [3749]/[3760] Speed: 123.236550 samples/sec accuracy=46.780000 loss=2.310598 lr=0.031071 Batch [0049]/[0303]: acc-top1=48.812500 acc-top5=74.406250 Batch [0099]/[0303]: acc-top1=45.703125 acc-top5=72.140625 Batch [0149]/[0303]: acc-top1=46.687500 acc-top5=72.677083 Batch [0199]/[0303]: acc-top1=49.242188 acc-top5=74.265625 Batch [0249]/[0303]: acc-top1=48.768750 acc-top5=73.918750 Batch [0299]/[0303]: acc-top1=48.302083 acc-top5=74.177083 [Epoch 134] training: accuracy=46.772357 loss=2.310952 [Epoch 134] speed: 118 samples/sec time cost: 2140.190168 [Epoch 134] validation: acc-top1=48.215759 acc-top5=74.211015 loss=2.424274 Epoch[135] Batch [0049]/[3760] Speed: 88.859519 samples/sec accuracy=47.968750 loss=2.237020 lr=0.031057 Epoch[135] Batch [0099]/[3760] Speed: 120.667674 samples/sec accuracy=47.828125 loss=2.252954 lr=0.031045 Epoch[135] Batch [0149]/[3760] Speed: 120.204893 samples/sec accuracy=47.885417 loss=2.253240 lr=0.031033 Epoch[135] Batch [0199]/[3760] Speed: 118.884815 samples/sec accuracy=48.101562 loss=2.242145 lr=0.031021 Epoch[135] Batch [0249]/[3760] Speed: 119.686130 samples/sec 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accuracy=47.222957 loss=2.287236 lr=0.030450 Epoch[135] Batch [2649]/[3760] Speed: 119.604393 samples/sec accuracy=47.237618 loss=2.287068 lr=0.030438 Epoch[135] Batch [2699]/[3760] Speed: 119.058878 samples/sec accuracy=47.221065 loss=2.286383 lr=0.030426 Epoch[135] Batch [2749]/[3760] Speed: 119.896905 samples/sec accuracy=47.225568 loss=2.286219 lr=0.030414 Epoch[135] Batch [2799]/[3760] Speed: 119.638790 samples/sec accuracy=47.236049 loss=2.286327 lr=0.030402 Epoch[135] Batch [2849]/[3760] Speed: 119.307393 samples/sec accuracy=47.253838 loss=2.286367 lr=0.030390 Epoch[135] Batch [2899]/[3760] Speed: 119.710065 samples/sec accuracy=47.244073 loss=2.287032 lr=0.030379 Epoch[135] Batch [2949]/[3760] Speed: 119.489914 samples/sec accuracy=47.237818 loss=2.287716 lr=0.030367 Epoch[135] Batch [2999]/[3760] Speed: 119.562828 samples/sec accuracy=47.223437 loss=2.288050 lr=0.030355 Epoch[135] Batch [3049]/[3760] Speed: 119.043784 samples/sec accuracy=47.224385 loss=2.288411 lr=0.030343 Epoch[135] Batch [3099]/[3760] Speed: 119.384176 samples/sec accuracy=47.241935 loss=2.288396 lr=0.030331 Epoch[135] Batch [3149]/[3760] Speed: 118.980917 samples/sec accuracy=47.251984 loss=2.288349 lr=0.030319 Epoch[135] Batch [3199]/[3760] Speed: 119.053004 samples/sec accuracy=47.254395 loss=2.288121 lr=0.030307 Epoch[135] Batch [3249]/[3760] Speed: 119.479901 samples/sec accuracy=47.248558 loss=2.287997 lr=0.030296 Epoch[135] Batch [3299]/[3760] Speed: 119.854358 samples/sec accuracy=47.253788 loss=2.287467 lr=0.030284 Epoch[135] Batch [3349]/[3760] Speed: 118.023897 samples/sec accuracy=47.243004 loss=2.287714 lr=0.030272 Epoch[135] Batch [3399]/[3760] Speed: 119.228695 samples/sec accuracy=47.242188 loss=2.287811 lr=0.030260 Epoch[135] Batch [3449]/[3760] Speed: 119.222047 samples/sec accuracy=47.231884 loss=2.288437 lr=0.030248 Epoch[135] Batch [3499]/[3760] Speed: 119.039328 samples/sec accuracy=47.217857 loss=2.288192 lr=0.030236 Epoch[135] Batch [3549]/[3760] Speed: 118.967249 samples/sec accuracy=47.220511 loss=2.288624 lr=0.030225 Epoch[135] Batch [3599]/[3760] Speed: 119.171786 samples/sec accuracy=47.208333 loss=2.289292 lr=0.030213 Epoch[135] Batch [3649]/[3760] Speed: 119.808859 samples/sec accuracy=47.236301 loss=2.288407 lr=0.030201 Epoch[135] Batch [3699]/[3760] Speed: 118.629049 samples/sec accuracy=47.232264 loss=2.287857 lr=0.030189 Epoch[135] Batch [3749]/[3760] Speed: 123.189201 samples/sec accuracy=47.212083 loss=2.288582 lr=0.030177 Batch [0049]/[0303]: acc-top1=45.781250 acc-top5=70.406250 Batch [0099]/[0303]: acc-top1=43.515625 acc-top5=69.375000 Batch [0149]/[0303]: acc-top1=45.208333 acc-top5=70.375000 Batch [0199]/[0303]: acc-top1=48.414062 acc-top5=72.742188 Batch [0249]/[0303]: acc-top1=47.968750 acc-top5=72.812500 Batch [0299]/[0303]: acc-top1=46.776042 acc-top5=72.468750 [Epoch 135] training: accuracy=47.211602 loss=2.288623 [Epoch 135] speed: 118 samples/sec time cost: 2143.153570 [Epoch 135] validation: acc-top1=46.709983 acc-top5=72.483498 loss=2.514036 Epoch[136] Batch [0049]/[3759] Speed: 87.884557 samples/sec accuracy=48.031250 loss=2.267638 lr=0.030163 Epoch[136] Batch [0099]/[3759] Speed: 120.381566 samples/sec accuracy=47.390625 loss=2.291248 lr=0.030151 Epoch[136] Batch [0149]/[3759] Speed: 119.188315 samples/sec accuracy=48.010417 loss=2.266496 lr=0.030139 Epoch[136] Batch [0199]/[3759] Speed: 119.637054 samples/sec accuracy=48.250000 loss=2.262736 lr=0.030127 Epoch[136] Batch [0249]/[3759] Speed: 119.431684 samples/sec accuracy=48.087500 loss=2.262395 lr=0.030116 Epoch[136] Batch [0299]/[3759] Speed: 118.613850 samples/sec accuracy=47.994792 loss=2.258274 lr=0.030104 Epoch[136] Batch [0349]/[3759] Speed: 119.483750 samples/sec accuracy=48.049107 loss=2.256658 lr=0.030092 Epoch[136] Batch [0399]/[3759] Speed: 119.289809 samples/sec accuracy=48.003906 loss=2.259843 lr=0.030080 Epoch[136] Batch [0449]/[3759] Speed: 118.966271 samples/sec accuracy=47.920139 loss=2.259432 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accuracy=47.672991 loss=2.267703 lr=0.029844 Epoch[136] Batch [1449]/[3759] Speed: 119.348064 samples/sec accuracy=47.618534 loss=2.269119 lr=0.029832 Epoch[136] Batch [1499]/[3759] Speed: 119.853502 samples/sec accuracy=47.696875 loss=2.265275 lr=0.029820 Epoch[136] Batch [1549]/[3759] Speed: 119.503358 samples/sec accuracy=47.632056 loss=2.268164 lr=0.029808 Epoch[136] Batch [1599]/[3759] Speed: 119.836570 samples/sec accuracy=47.691406 loss=2.267303 lr=0.029797 Epoch[136] Batch [1649]/[3759] Speed: 118.675816 samples/sec accuracy=47.704545 loss=2.267365 lr=0.029785 Epoch[136] Batch [1699]/[3759] Speed: 119.747053 samples/sec accuracy=47.724265 loss=2.266748 lr=0.029773 Epoch[136] Batch [1749]/[3759] Speed: 119.714075 samples/sec accuracy=47.696429 loss=2.266750 lr=0.029761 Epoch[136] Batch [1799]/[3759] Speed: 119.951479 samples/sec accuracy=47.678819 loss=2.268513 lr=0.029749 Epoch[136] Batch [1849]/[3759] Speed: 119.341782 samples/sec accuracy=47.663851 loss=2.270091 lr=0.029738 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loss=2.273335 lr=0.029514 Epoch[136] Batch [2849]/[3759] Speed: 118.979141 samples/sec accuracy=47.502193 loss=2.274562 lr=0.029502 Epoch[136] Batch [2899]/[3759] Speed: 118.876384 samples/sec accuracy=47.501078 loss=2.274419 lr=0.029490 Epoch[136] Batch [2949]/[3759] Speed: 119.058040 samples/sec accuracy=47.474047 loss=2.274968 lr=0.029479 Epoch[136] Batch [2999]/[3759] Speed: 119.834745 samples/sec accuracy=47.453125 loss=2.275947 lr=0.029467 Epoch[136] Batch [3049]/[3759] Speed: 119.417126 samples/sec accuracy=47.430840 loss=2.276778 lr=0.029455 Epoch[136] Batch [3099]/[3759] Speed: 119.633899 samples/sec accuracy=47.441028 loss=2.276859 lr=0.029443 Epoch[136] Batch [3149]/[3759] Speed: 118.967970 samples/sec accuracy=47.426091 loss=2.277230 lr=0.029431 Epoch[136] Batch [3199]/[3759] Speed: 119.010345 samples/sec accuracy=47.427246 loss=2.277419 lr=0.029420 Epoch[136] Batch [3249]/[3759] Speed: 118.931123 samples/sec accuracy=47.429327 loss=2.276866 lr=0.029408 Epoch[136] Batch 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accuracy=47.379583 loss=2.278519 lr=0.029291 Batch [0049]/[0303]: acc-top1=48.718750 acc-top5=74.093750 Batch [0099]/[0303]: acc-top1=45.828125 acc-top5=72.265625 Batch [0149]/[0303]: acc-top1=47.114583 acc-top5=72.875000 Batch [0199]/[0303]: acc-top1=49.867188 acc-top5=74.679688 Batch [0249]/[0303]: acc-top1=49.562500 acc-top5=74.556250 Batch [0299]/[0303]: acc-top1=48.750000 acc-top5=74.385417 [Epoch 136] training: accuracy=47.387104 loss=2.278579 [Epoch 136] speed: 118 samples/sec time cost: 2143.398611 [Epoch 136] validation: acc-top1=48.664398 acc-top5=74.422442 loss=2.344376 Epoch[137] Batch [0049]/[3760] Speed: 89.437351 samples/sec accuracy=46.937500 loss=2.297905 lr=0.029277 Epoch[137] Batch [0099]/[3760] Speed: 120.057290 samples/sec accuracy=47.468750 loss=2.278807 lr=0.029265 Epoch[137] Batch [0149]/[3760] Speed: 119.223031 samples/sec accuracy=47.812500 loss=2.261991 lr=0.029253 Epoch[137] Batch [0199]/[3760] Speed: 120.466912 samples/sec accuracy=47.921875 loss=2.259103 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loss=2.270934 lr=0.028692 Epoch[137] Batch [2599]/[3760] Speed: 119.902135 samples/sec accuracy=47.634615 loss=2.271775 lr=0.028680 Epoch[137] Batch [2649]/[3760] Speed: 119.839613 samples/sec accuracy=47.628538 loss=2.271897 lr=0.028668 Epoch[137] Batch [2699]/[3760] Speed: 119.567343 samples/sec accuracy=47.643519 loss=2.270934 lr=0.028657 Epoch[137] Batch [2749]/[3760] Speed: 118.768566 samples/sec accuracy=47.669886 loss=2.269447 lr=0.028645 Epoch[137] Batch [2799]/[3760] Speed: 119.709192 samples/sec accuracy=47.695871 loss=2.267900 lr=0.028633 Epoch[137] Batch [2849]/[3760] Speed: 119.861920 samples/sec accuracy=47.694079 loss=2.268125 lr=0.028622 Epoch[137] Batch [2899]/[3760] Speed: 119.368678 samples/sec accuracy=47.716595 loss=2.267368 lr=0.028610 Epoch[137] Batch [2949]/[3760] Speed: 119.690806 samples/sec accuracy=47.741525 loss=2.266077 lr=0.028598 Epoch[137] Batch [2999]/[3760] Speed: 119.483431 samples/sec accuracy=47.754167 loss=2.266169 lr=0.028587 Epoch[137] Batch 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accuracy=47.760714 loss=2.265902 lr=0.028470 Epoch[137] Batch [3549]/[3760] Speed: 119.743927 samples/sec accuracy=47.769806 loss=2.265734 lr=0.028458 Epoch[137] Batch [3599]/[3760] Speed: 119.205837 samples/sec accuracy=47.758247 loss=2.266084 lr=0.028447 Epoch[137] Batch [3649]/[3760] Speed: 119.082710 samples/sec accuracy=47.761130 loss=2.265706 lr=0.028435 Epoch[137] Batch [3699]/[3760] Speed: 119.198355 samples/sec accuracy=47.773226 loss=2.265373 lr=0.028424 Epoch[137] Batch [3749]/[3760] Speed: 123.534099 samples/sec accuracy=47.760417 loss=2.266213 lr=0.028412 Batch [0049]/[0303]: acc-top1=47.687500 acc-top5=72.500000 Batch [0099]/[0303]: acc-top1=46.218750 acc-top5=71.484375 Batch [0149]/[0303]: acc-top1=47.416667 acc-top5=72.322917 Batch [0199]/[0303]: acc-top1=49.898438 acc-top5=74.250000 Batch [0249]/[0303]: acc-top1=49.612500 acc-top5=74.137500 Batch [0299]/[0303]: acc-top1=49.114583 acc-top5=74.302083 [Epoch 137] training: accuracy=47.752660 loss=2.266460 [Epoch 137] speed: 118 samples/sec time cost: 2139.314646 [Epoch 137] validation: acc-top1=49.076939 acc-top5=74.308993 loss=2.361957 Epoch[138] Batch [0049]/[3760] Speed: 89.524367 samples/sec accuracy=49.343750 loss=2.174490 lr=0.028398 Epoch[138] Batch [0099]/[3760] Speed: 119.846406 samples/sec accuracy=48.781250 loss=2.182620 lr=0.028386 Epoch[138] Batch [0149]/[3760] Speed: 119.844287 samples/sec accuracy=48.468750 loss=2.197629 lr=0.028375 Epoch[138] Batch [0199]/[3760] Speed: 120.664208 samples/sec accuracy=48.531250 loss=2.200815 lr=0.028363 Epoch[138] Batch [0249]/[3760] Speed: 119.670671 samples/sec accuracy=48.775000 loss=2.194073 lr=0.028351 Epoch[138] Batch [0299]/[3760] Speed: 119.261579 samples/sec accuracy=48.901042 loss=2.192091 lr=0.028340 Epoch[138] Batch [0349]/[3760] Speed: 119.179283 samples/sec accuracy=49.165179 loss=2.179445 lr=0.028328 Epoch[138] Batch [0399]/[3760] Speed: 119.675912 samples/sec accuracy=48.941406 loss=2.194962 lr=0.028317 Epoch[138] Batch [0449]/[3760] 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accuracy=48.428819 loss=2.224244 lr=0.028200 Epoch[138] Batch [0949]/[3760] Speed: 119.614374 samples/sec accuracy=48.345395 loss=2.226351 lr=0.028189 Epoch[138] Batch [0999]/[3760] Speed: 119.806089 samples/sec accuracy=48.346875 loss=2.226915 lr=0.028177 Epoch[138] Batch [1049]/[3760] Speed: 118.730239 samples/sec accuracy=48.261905 loss=2.229123 lr=0.028166 Epoch[138] Batch [1099]/[3760] Speed: 120.009510 samples/sec accuracy=48.257102 loss=2.230445 lr=0.028154 Epoch[138] Batch [1149]/[3760] Speed: 119.504767 samples/sec accuracy=48.264946 loss=2.231035 lr=0.028142 Epoch[138] Batch [1199]/[3760] Speed: 119.397760 samples/sec accuracy=48.226562 loss=2.231347 lr=0.028131 Epoch[138] Batch [1249]/[3760] Speed: 120.045674 samples/sec accuracy=48.255000 loss=2.231160 lr=0.028119 Epoch[138] Batch [1299]/[3760] Speed: 119.868116 samples/sec accuracy=48.177885 loss=2.235529 lr=0.028108 Epoch[138] Batch [1349]/[3760] Speed: 119.423536 samples/sec accuracy=48.159722 loss=2.236501 lr=0.028096 Epoch[138] Batch [1399]/[3760] Speed: 119.103021 samples/sec accuracy=48.143973 loss=2.236246 lr=0.028084 Epoch[138] Batch [1449]/[3760] Speed: 119.637903 samples/sec accuracy=48.108836 loss=2.239595 lr=0.028073 Epoch[138] Batch [1499]/[3760] Speed: 119.805063 samples/sec accuracy=48.110417 loss=2.239183 lr=0.028061 Epoch[138] Batch [1549]/[3760] Speed: 119.515137 samples/sec accuracy=48.115927 loss=2.239517 lr=0.028050 Epoch[138] Batch [1599]/[3760] Speed: 119.748573 samples/sec accuracy=48.126953 loss=2.239401 lr=0.028038 Epoch[138] Batch [1649]/[3760] Speed: 119.600988 samples/sec accuracy=48.159091 loss=2.238891 lr=0.028027 Epoch[138] Batch [1699]/[3760] Speed: 117.309048 samples/sec accuracy=48.140625 loss=2.239106 lr=0.028015 Epoch[138] Batch [1749]/[3760] Speed: 119.721164 samples/sec accuracy=48.101786 loss=2.241288 lr=0.028003 Epoch[138] Batch [1799]/[3760] Speed: 119.801842 samples/sec accuracy=48.101562 loss=2.241397 lr=0.027992 Epoch[138] Batch [1849]/[3760] Speed: 118.526135 samples/sec accuracy=48.099662 loss=2.241609 lr=0.027980 Epoch[138] Batch [1899]/[3760] Speed: 119.954670 samples/sec accuracy=48.083059 loss=2.242851 lr=0.027969 Epoch[138] Batch [1949]/[3760] Speed: 118.930138 samples/sec accuracy=48.025641 loss=2.245059 lr=0.027957 Epoch[138] Batch [1999]/[3760] Speed: 118.838020 samples/sec accuracy=48.059375 loss=2.244351 lr=0.027945 Epoch[138] Batch [2049]/[3760] Speed: 119.145597 samples/sec accuracy=48.068598 loss=2.243505 lr=0.027934 Epoch[138] Batch [2099]/[3760] Speed: 119.771138 samples/sec accuracy=48.063244 loss=2.243804 lr=0.027922 Epoch[138] Batch [2149]/[3760] Speed: 119.723673 samples/sec accuracy=48.060320 loss=2.243674 lr=0.027911 Epoch[138] Batch [2199]/[3760] Speed: 120.615489 samples/sec accuracy=48.031250 loss=2.246262 lr=0.027899 Epoch[138] Batch [2249]/[3760] Speed: 119.706765 samples/sec accuracy=48.029167 loss=2.246061 lr=0.027888 Epoch[138] Batch [2299]/[3760] Speed: 119.712763 samples/sec accuracy=48.053668 loss=2.245116 lr=0.027876 Epoch[138] Batch [2349]/[3760] Speed: 119.691079 samples/sec accuracy=48.093750 loss=2.244042 lr=0.027864 Epoch[138] Batch [2399]/[3760] Speed: 119.679931 samples/sec accuracy=48.076823 loss=2.244571 lr=0.027853 Epoch[138] Batch [2449]/[3760] Speed: 119.520577 samples/sec accuracy=48.074617 loss=2.245485 lr=0.027841 Epoch[138] Batch [2499]/[3760] Speed: 119.540191 samples/sec accuracy=48.085625 loss=2.245787 lr=0.027830 Epoch[138] Batch [2549]/[3760] Speed: 119.226909 samples/sec accuracy=48.098039 loss=2.245845 lr=0.027818 Epoch[138] Batch [2599]/[3760] Speed: 119.327045 samples/sec accuracy=48.060697 loss=2.246353 lr=0.027807 Epoch[138] Batch [2649]/[3760] Speed: 119.030350 samples/sec accuracy=48.051297 loss=2.246945 lr=0.027795 Epoch[138] Batch [2699]/[3760] Speed: 119.665736 samples/sec accuracy=48.068287 loss=2.247015 lr=0.027784 Epoch[138] Batch [2749]/[3760] Speed: 119.472526 samples/sec accuracy=48.060795 loss=2.248039 lr=0.027772 Epoch[138] Batch 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accuracy=48.012500 loss=2.248324 lr=0.027657 Epoch[138] Batch [3299]/[3760] Speed: 119.438202 samples/sec accuracy=48.020360 loss=2.247553 lr=0.027645 Epoch[138] Batch [3349]/[3760] Speed: 119.420264 samples/sec accuracy=48.020056 loss=2.247952 lr=0.027633 Epoch[138] Batch [3399]/[3760] Speed: 120.107189 samples/sec accuracy=48.002298 loss=2.248550 lr=0.027622 Epoch[138] Batch [3449]/[3760] Speed: 119.492629 samples/sec accuracy=47.998641 loss=2.249076 lr=0.027610 Epoch[138] Batch [3499]/[3760] Speed: 119.386482 samples/sec accuracy=47.990625 loss=2.249318 lr=0.027599 Epoch[138] Batch [3549]/[3760] Speed: 118.826895 samples/sec accuracy=47.983715 loss=2.250263 lr=0.027587 Epoch[138] Batch [3599]/[3760] Speed: 119.878077 samples/sec accuracy=47.980903 loss=2.250137 lr=0.027576 Epoch[138] Batch [3649]/[3760] Speed: 119.450657 samples/sec accuracy=47.981164 loss=2.249683 lr=0.027564 Epoch[138] Batch [3699]/[3760] Speed: 120.287105 samples/sec accuracy=47.983530 loss=2.249405 lr=0.027553 Epoch[138] Batch [3749]/[3760] Speed: 123.984301 samples/sec accuracy=47.977500 loss=2.249976 lr=0.027541 Batch [0049]/[0303]: acc-top1=47.250000 acc-top5=72.000000 Batch [0099]/[0303]: acc-top1=44.265625 acc-top5=69.703125 Batch [0149]/[0303]: acc-top1=45.593750 acc-top5=70.864583 Batch [0199]/[0303]: acc-top1=48.031250 acc-top5=72.359375 Batch [0249]/[0303]: acc-top1=47.706250 acc-top5=72.393750 Batch [0299]/[0303]: acc-top1=47.411458 acc-top5=72.916667 [Epoch 138] training: accuracy=47.982879 loss=2.249987 [Epoch 138] speed: 118 samples/sec time cost: 2139.606464 [Epoch 138] validation: acc-top1=47.344266 acc-top5=72.926980 loss=2.510838 Epoch[139] Batch [0049]/[3759] Speed: 90.419505 samples/sec accuracy=48.781250 loss=2.154478 lr=0.027527 Epoch[139] Batch [0099]/[3759] Speed: 119.994512 samples/sec accuracy=48.406250 loss=2.206203 lr=0.027516 Epoch[139] Batch [0149]/[3759] Speed: 120.134949 samples/sec accuracy=49.229167 loss=2.183684 lr=0.027504 Epoch[139] Batch [0199]/[3759] 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Epoch[139] Batch [3499]/[3759] Speed: 119.542879 samples/sec accuracy=48.479911 loss=2.231060 lr=0.026736 Epoch[139] Batch [3549]/[3759] Speed: 119.603276 samples/sec accuracy=48.463468 loss=2.231901 lr=0.026725 Epoch[139] Batch [3599]/[3759] Speed: 119.699868 samples/sec accuracy=48.464410 loss=2.232176 lr=0.026713 Epoch[139] Batch [3649]/[3759] Speed: 119.063617 samples/sec accuracy=48.444777 loss=2.232953 lr=0.026702 Epoch[139] Batch [3699]/[3759] Speed: 119.542695 samples/sec accuracy=48.424409 loss=2.233019 lr=0.026690 Epoch[139] Batch [3749]/[3759] Speed: 123.516124 samples/sec accuracy=48.413750 loss=2.232751 lr=0.026679 Batch [0049]/[0303]: acc-top1=49.093750 acc-top5=73.562500 Batch [0099]/[0303]: acc-top1=46.328125 acc-top5=72.562500 Batch [0149]/[0303]: acc-top1=48.583333 acc-top5=73.750000 Batch [0199]/[0303]: acc-top1=51.265625 acc-top5=75.562500 Batch [0249]/[0303]: acc-top1=50.281250 acc-top5=75.250000 Batch [0299]/[0303]: acc-top1=49.411458 acc-top5=75.166667 [Epoch 139] training: accuracy=48.404246 loss=2.233096 [Epoch 139] speed: 118 samples/sec time cost: 2139.631561 [Epoch 139] validation: acc-top1=49.417285 acc-top5=75.226898 loss=2.334017 Epoch[140] Batch [0049]/[3760] Speed: 89.727299 samples/sec accuracy=50.031250 loss=2.101684 lr=0.026666 Epoch[140] Batch [0099]/[3760] Speed: 120.465507 samples/sec accuracy=49.609375 loss=2.130760 lr=0.026654 Epoch[140] Batch [0149]/[3760] Speed: 118.351980 samples/sec accuracy=50.177083 loss=2.134466 lr=0.026643 Epoch[140] Batch [0199]/[3760] Speed: 119.844243 samples/sec accuracy=49.726562 loss=2.143665 lr=0.026631 Epoch[140] Batch [0249]/[3760] Speed: 120.674361 samples/sec accuracy=49.656250 loss=2.150052 lr=0.026620 Epoch[140] Batch [0299]/[3760] Speed: 119.787797 samples/sec accuracy=49.437500 loss=2.167353 lr=0.026608 Epoch[140] Batch [0349]/[3760] Speed: 120.121392 samples/sec accuracy=49.366071 loss=2.168153 lr=0.026597 Epoch[140] Batch [0399]/[3760] Speed: 119.098541 samples/sec accuracy=49.292969 loss=2.175997 lr=0.026586 Epoch[140] Batch [0449]/[3760] Speed: 119.487680 samples/sec accuracy=49.253472 loss=2.177201 lr=0.026574 Epoch[140] Batch [0499]/[3760] Speed: 120.248043 samples/sec accuracy=49.325000 loss=2.178175 lr=0.026563 Epoch[140] Batch [0549]/[3760] Speed: 118.850851 samples/sec accuracy=49.201705 loss=2.183698 lr=0.026552 Epoch[140] Batch [0599]/[3760] Speed: 119.497491 samples/sec accuracy=49.195312 loss=2.186198 lr=0.026540 Epoch[140] Batch [0649]/[3760] Speed: 118.351112 samples/sec accuracy=49.189904 loss=2.189179 lr=0.026529 Epoch[140] Batch [0699]/[3760] Speed: 120.553855 samples/sec accuracy=49.183036 loss=2.188450 lr=0.026517 Epoch[140] Batch [0749]/[3760] Speed: 119.739730 samples/sec accuracy=49.195833 loss=2.187324 lr=0.026506 Epoch[140] Batch [0799]/[3760] Speed: 119.414399 samples/sec accuracy=49.195312 loss=2.190967 lr=0.026495 Epoch[140] Batch [0849]/[3760] Speed: 119.659389 samples/sec accuracy=49.204044 loss=2.190561 lr=0.026483 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accuracy=48.897159 loss=2.212417 lr=0.026052 Epoch[140] Batch [2799]/[3760] Speed: 120.094632 samples/sec accuracy=48.893973 loss=2.212138 lr=0.026040 Epoch[140] Batch [2849]/[3760] Speed: 118.659040 samples/sec accuracy=48.891447 loss=2.213008 lr=0.026029 Epoch[140] Batch [2899]/[3760] Speed: 118.820449 samples/sec accuracy=48.891164 loss=2.212526 lr=0.026018 Epoch[140] Batch [2949]/[3760] Speed: 119.534330 samples/sec accuracy=48.908898 loss=2.211842 lr=0.026007 Epoch[140] Batch [2999]/[3760] Speed: 120.254523 samples/sec accuracy=48.921875 loss=2.211695 lr=0.025995 Epoch[140] Batch [3049]/[3760] Speed: 118.821882 samples/sec accuracy=48.903176 loss=2.212886 lr=0.025984 Epoch[140] Batch [3099]/[3760] Speed: 119.560545 samples/sec accuracy=48.884577 loss=2.213768 lr=0.025973 Epoch[140] Batch [3149]/[3760] Speed: 119.877789 samples/sec accuracy=48.875496 loss=2.213446 lr=0.025961 Epoch[140] Batch [3199]/[3760] Speed: 120.375175 samples/sec accuracy=48.865723 loss=2.214622 lr=0.025950 Epoch[140] Batch [3249]/[3760] Speed: 119.164199 samples/sec accuracy=48.877404 loss=2.214996 lr=0.025939 Epoch[140] Batch [3299]/[3760] Speed: 119.430772 samples/sec accuracy=48.825758 loss=2.216562 lr=0.025927 Epoch[140] Batch [3349]/[3760] Speed: 118.962063 samples/sec accuracy=48.833955 loss=2.215796 lr=0.025916 Epoch[140] Batch [3399]/[3760] Speed: 119.226014 samples/sec accuracy=48.827665 loss=2.215750 lr=0.025905 Epoch[140] Batch [3449]/[3760] Speed: 118.712803 samples/sec accuracy=48.819746 loss=2.216309 lr=0.025893 Epoch[140] Batch [3499]/[3760] Speed: 118.763117 samples/sec accuracy=48.795982 loss=2.216773 lr=0.025882 Epoch[140] Batch [3549]/[3760] Speed: 119.664617 samples/sec accuracy=48.791373 loss=2.216501 lr=0.025871 Epoch[140] Batch [3599]/[3760] Speed: 119.600129 samples/sec accuracy=48.769097 loss=2.217522 lr=0.025860 Epoch[140] Batch [3649]/[3760] Speed: 119.371493 samples/sec accuracy=48.767551 loss=2.217713 lr=0.025848 Epoch[140] Batch [3699]/[3760] Speed: 119.130209 samples/sec accuracy=48.756757 loss=2.217877 lr=0.025837 Epoch[140] Batch [3749]/[3760] Speed: 123.341715 samples/sec accuracy=48.760833 loss=2.218520 lr=0.025826 Batch [0049]/[0303]: acc-top1=49.968750 acc-top5=74.718750 Batch [0099]/[0303]: acc-top1=47.546875 acc-top5=73.484375 Batch [0149]/[0303]: acc-top1=49.229167 acc-top5=74.125000 Batch [0199]/[0303]: acc-top1=51.820312 acc-top5=75.742188 Batch [0249]/[0303]: acc-top1=50.818750 acc-top5=75.500000 Batch [0299]/[0303]: acc-top1=50.682292 acc-top5=75.723958 [Epoch 140] training: accuracy=48.762051 loss=2.218554 [Epoch 140] speed: 118 samples/sec time cost: 2141.603828 [Epoch 140] validation: acc-top1=50.680693 acc-top5=75.727104 loss=2.292402 Epoch[141] Batch [0049]/[3760] Speed: 87.763833 samples/sec accuracy=50.312500 loss=2.148282 lr=0.025812 Epoch[141] Batch [0099]/[3760] Speed: 119.962648 samples/sec accuracy=49.406250 loss=2.168174 lr=0.025801 Epoch[141] Batch [0149]/[3760] Speed: 119.606395 samples/sec accuracy=49.229167 loss=2.173110 lr=0.025790 Epoch[141] Batch [0199]/[3760] Speed: 119.299755 samples/sec accuracy=49.554688 loss=2.162961 lr=0.025778 Epoch[141] Batch [0249]/[3760] Speed: 119.847088 samples/sec accuracy=49.512500 loss=2.162294 lr=0.025767 Epoch[141] Batch [0299]/[3760] Speed: 119.882170 samples/sec accuracy=49.307292 loss=2.172197 lr=0.025756 Epoch[141] Batch [0349]/[3760] Speed: 120.029800 samples/sec accuracy=49.441964 loss=2.174952 lr=0.025744 Epoch[141] Batch [0399]/[3760] Speed: 119.947511 samples/sec accuracy=49.550781 loss=2.171783 lr=0.025733 Epoch[141] Batch [0449]/[3760] Speed: 120.108028 samples/sec accuracy=49.423611 loss=2.174812 lr=0.025722 Epoch[141] Batch [0499]/[3760] Speed: 119.784695 samples/sec accuracy=49.356250 loss=2.175944 lr=0.025711 Epoch[141] Batch [0549]/[3760] Speed: 120.213558 samples/sec accuracy=49.315341 loss=2.179152 lr=0.025699 Epoch[141] Batch [0599]/[3760] Speed: 120.214519 samples/sec accuracy=49.468750 loss=2.173068 lr=0.025688 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accuracy=49.115000 loss=2.196133 lr=0.025261 Epoch[141] Batch [2549]/[3760] Speed: 118.605333 samples/sec accuracy=49.110294 loss=2.196824 lr=0.025250 Epoch[141] Batch [2599]/[3760] Speed: 119.440795 samples/sec accuracy=49.094351 loss=2.197326 lr=0.025239 Epoch[141] Batch [2649]/[3760] Speed: 119.256557 samples/sec accuracy=49.108491 loss=2.196361 lr=0.025227 Epoch[141] Batch [2699]/[3760] Speed: 120.340488 samples/sec accuracy=49.083333 loss=2.197141 lr=0.025216 Epoch[141] Batch [2749]/[3760] Speed: 118.727427 samples/sec accuracy=49.074432 loss=2.198660 lr=0.025205 Epoch[141] Batch [2799]/[3760] Speed: 119.560522 samples/sec accuracy=49.072545 loss=2.198841 lr=0.025194 Epoch[141] Batch [2849]/[3760] Speed: 119.139094 samples/sec accuracy=49.100329 loss=2.197585 lr=0.025183 Epoch[141] Batch [2899]/[3760] Speed: 118.741990 samples/sec accuracy=49.087823 loss=2.197899 lr=0.025171 Epoch[141] Batch [2949]/[3760] Speed: 119.313798 samples/sec accuracy=49.061441 loss=2.198254 lr=0.025160 Epoch[141] Batch [2999]/[3760] Speed: 119.245281 samples/sec accuracy=49.062500 loss=2.198218 lr=0.025149 Epoch[141] Batch [3049]/[3760] Speed: 119.116889 samples/sec accuracy=49.073258 loss=2.198063 lr=0.025138 Epoch[141] Batch [3099]/[3760] Speed: 120.042226 samples/sec accuracy=49.057964 loss=2.198104 lr=0.025127 Epoch[141] Batch [3149]/[3760] Speed: 119.814461 samples/sec accuracy=49.043651 loss=2.198698 lr=0.025115 Epoch[141] Batch [3199]/[3760] Speed: 119.256369 samples/sec accuracy=49.047852 loss=2.198879 lr=0.025104 Epoch[141] Batch [3249]/[3760] Speed: 119.234224 samples/sec accuracy=49.046635 loss=2.199198 lr=0.025093 Epoch[141] Batch [3299]/[3760] Speed: 119.675289 samples/sec accuracy=49.046875 loss=2.199546 lr=0.025082 Epoch[141] Batch [3349]/[3760] Speed: 119.280574 samples/sec accuracy=49.047108 loss=2.199639 lr=0.025071 Epoch[141] Batch [3399]/[3760] Speed: 118.879212 samples/sec accuracy=49.056526 loss=2.199341 lr=0.025060 Epoch[141] Batch [3449]/[3760] Speed: 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Batch [0299]/[0303]: acc-top1=49.895833 acc-top5=75.020833 [Epoch 141] training: accuracy=48.990608 loss=2.201264 [Epoch 141] speed: 118 samples/sec time cost: 2141.554746 [Epoch 141] validation: acc-top1=49.850454 acc-top5=75.025784 loss=2.381021 Epoch[142] Batch [0049]/[3759] Speed: 89.413785 samples/sec accuracy=50.437500 loss=2.140380 lr=0.024968 Epoch[142] Batch [0099]/[3759] Speed: 120.570594 samples/sec accuracy=50.765625 loss=2.150393 lr=0.024957 Epoch[142] Batch [0149]/[3759] Speed: 119.682874 samples/sec accuracy=50.604167 loss=2.151709 lr=0.024946 Epoch[142] Batch [0199]/[3759] Speed: 119.685750 samples/sec accuracy=50.414062 loss=2.141413 lr=0.024934 Epoch[142] Batch [0249]/[3759] Speed: 120.074607 samples/sec accuracy=50.300000 loss=2.146710 lr=0.024923 Epoch[142] Batch [0299]/[3759] Speed: 118.664528 samples/sec accuracy=50.083333 loss=2.147461 lr=0.024912 Epoch[142] Batch [0349]/[3759] Speed: 119.727469 samples/sec accuracy=49.767857 loss=2.163914 lr=0.024901 Epoch[142] 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lr=0.024689 Epoch[142] Batch [1349]/[3759] Speed: 119.038616 samples/sec accuracy=49.563657 loss=2.172190 lr=0.024678 Epoch[142] Batch [1399]/[3759] Speed: 119.050950 samples/sec accuracy=49.569196 loss=2.172985 lr=0.024667 Epoch[142] Batch [1449]/[3759] Speed: 119.623283 samples/sec accuracy=49.580819 loss=2.172079 lr=0.024656 Epoch[142] Batch [1499]/[3759] Speed: 119.065372 samples/sec accuracy=49.558333 loss=2.173581 lr=0.024645 Epoch[142] Batch [1549]/[3759] Speed: 119.396820 samples/sec accuracy=49.591734 loss=2.172968 lr=0.024634 Epoch[142] Batch [1599]/[3759] Speed: 119.118148 samples/sec accuracy=49.560547 loss=2.173567 lr=0.024623 Epoch[142] Batch [1649]/[3759] Speed: 119.554107 samples/sec accuracy=49.521780 loss=2.175237 lr=0.024611 Epoch[142] Batch [1699]/[3759] Speed: 119.829830 samples/sec accuracy=49.498162 loss=2.175942 lr=0.024600 Epoch[142] Batch [1749]/[3759] Speed: 119.286185 samples/sec accuracy=49.466071 loss=2.177383 lr=0.024589 Epoch[142] Batch [1799]/[3759] 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accuracy=49.351389 loss=2.182397 lr=0.024478 Epoch[142] Batch [2299]/[3759] Speed: 119.721973 samples/sec accuracy=49.332880 loss=2.183213 lr=0.024467 Epoch[142] Batch [2349]/[3759] Speed: 119.935647 samples/sec accuracy=49.315160 loss=2.183556 lr=0.024456 Epoch[142] Batch [2399]/[3759] Speed: 117.386457 samples/sec accuracy=49.312500 loss=2.183526 lr=0.024445 Epoch[142] Batch [2449]/[3759] Speed: 119.325711 samples/sec accuracy=49.290816 loss=2.185023 lr=0.024434 Epoch[142] Batch [2499]/[3759] Speed: 119.806007 samples/sec accuracy=49.271250 loss=2.186589 lr=0.024423 Epoch[142] Batch [2549]/[3759] Speed: 119.606730 samples/sec accuracy=49.280025 loss=2.186769 lr=0.024412 Epoch[142] Batch [2599]/[3759] Speed: 119.699248 samples/sec accuracy=49.275841 loss=2.186918 lr=0.024401 Epoch[142] Batch [2649]/[3759] Speed: 119.493089 samples/sec accuracy=49.283608 loss=2.186805 lr=0.024390 Epoch[142] Batch [2699]/[3759] Speed: 119.346769 samples/sec accuracy=49.294560 loss=2.186418 lr=0.024379 Epoch[142] Batch [2749]/[3759] Speed: 119.189327 samples/sec accuracy=49.280682 loss=2.186893 lr=0.024367 Epoch[142] Batch [2799]/[3759] Speed: 118.820934 samples/sec accuracy=49.268973 loss=2.186780 lr=0.024356 Epoch[142] Batch [2849]/[3759] Speed: 118.977645 samples/sec accuracy=49.248904 loss=2.187987 lr=0.024345 Epoch[142] Batch [2899]/[3759] Speed: 119.797258 samples/sec accuracy=49.235453 loss=2.188752 lr=0.024334 Epoch[142] Batch [2949]/[3759] Speed: 119.545596 samples/sec accuracy=49.238877 loss=2.188819 lr=0.024323 Epoch[142] Batch [2999]/[3759] Speed: 119.428464 samples/sec accuracy=49.228646 loss=2.189886 lr=0.024312 Epoch[142] Batch [3049]/[3759] Speed: 120.170505 samples/sec accuracy=49.211066 loss=2.190093 lr=0.024301 Epoch[142] Batch [3099]/[3759] Speed: 119.469317 samples/sec accuracy=49.212198 loss=2.189666 lr=0.024290 Epoch[142] Batch [3149]/[3759] Speed: 118.700721 samples/sec accuracy=49.199901 loss=2.190569 lr=0.024279 Epoch[142] Batch [3199]/[3759] Speed: 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loss=2.193383 lr=0.024168 Epoch[142] Batch [3699]/[3759] Speed: 119.507070 samples/sec accuracy=49.129223 loss=2.193844 lr=0.024157 Epoch[142] Batch [3749]/[3759] Speed: 123.271859 samples/sec accuracy=49.136250 loss=2.193547 lr=0.024146 Batch [0049]/[0303]: acc-top1=49.906250 acc-top5=75.125000 Batch [0099]/[0303]: acc-top1=46.203125 acc-top5=72.187500 Batch [0149]/[0303]: acc-top1=48.281250 acc-top5=73.239583 Batch [0199]/[0303]: acc-top1=51.109375 acc-top5=75.046875 Batch [0249]/[0303]: acc-top1=50.362500 acc-top5=74.781250 Batch [0299]/[0303]: acc-top1=50.114583 acc-top5=74.968750 [Epoch 142] training: accuracy=49.137071 loss=2.193236 [Epoch 142] speed: 118 samples/sec time cost: 2140.597876 [Epoch 142] validation: acc-top1=50.020627 acc-top5=74.896865 loss=2.337833 Epoch[143] Batch [0049]/[3760] Speed: 88.328797 samples/sec accuracy=50.625000 loss=2.146037 lr=0.024133 Epoch[143] Batch [0099]/[3760] Speed: 119.974883 samples/sec accuracy=50.906250 loss=2.112403 lr=0.024122 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accuracy=49.687500 loss=2.168365 lr=0.023704 Epoch[143] Batch [2049]/[3760] Speed: 120.167842 samples/sec accuracy=49.676067 loss=2.169035 lr=0.023693 Epoch[143] Batch [2099]/[3760] Speed: 118.976255 samples/sec accuracy=49.664435 loss=2.169458 lr=0.023682 Epoch[143] Batch [2149]/[3760] Speed: 119.176939 samples/sec accuracy=49.688227 loss=2.168082 lr=0.023671 Epoch[143] Batch [2199]/[3760] Speed: 119.447349 samples/sec accuracy=49.671875 loss=2.169051 lr=0.023660 Epoch[143] Batch [2249]/[3760] Speed: 120.399417 samples/sec accuracy=49.654861 loss=2.170095 lr=0.023649 Epoch[143] Batch [2299]/[3760] Speed: 117.545952 samples/sec accuracy=49.665761 loss=2.168964 lr=0.023638 Epoch[143] Batch [2349]/[3760] Speed: 119.531645 samples/sec accuracy=49.637633 loss=2.170551 lr=0.023627 Epoch[143] Batch [2399]/[3760] Speed: 118.734521 samples/sec accuracy=49.608724 loss=2.171668 lr=0.023616 Epoch[143] Batch [2449]/[3760] Speed: 119.610971 samples/sec accuracy=49.608418 loss=2.171198 lr=0.023606 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loss=2.171988 lr=0.023398 Epoch[143] Batch [3449]/[3760] Speed: 120.099287 samples/sec accuracy=49.600091 loss=2.172195 lr=0.023387 Epoch[143] Batch [3499]/[3760] Speed: 117.676687 samples/sec accuracy=49.596429 loss=2.172775 lr=0.023376 Epoch[143] Batch [3549]/[3760] Speed: 119.458952 samples/sec accuracy=49.577905 loss=2.173553 lr=0.023365 Epoch[143] Batch [3599]/[3760] Speed: 119.422384 samples/sec accuracy=49.584635 loss=2.173507 lr=0.023354 Epoch[143] Batch [3649]/[3760] Speed: 118.802983 samples/sec accuracy=49.585188 loss=2.173908 lr=0.023343 Epoch[143] Batch [3699]/[3760] Speed: 119.164536 samples/sec accuracy=49.592905 loss=2.173108 lr=0.023332 Epoch[143] Batch [3749]/[3760] Speed: 123.683947 samples/sec accuracy=49.610833 loss=2.171956 lr=0.023321 Batch [0049]/[0303]: acc-top1=48.937500 acc-top5=74.906250 Batch [0099]/[0303]: acc-top1=48.328125 acc-top5=73.968750 Batch [0149]/[0303]: acc-top1=49.802083 acc-top5=74.614583 Batch [0199]/[0303]: acc-top1=52.179688 acc-top5=76.109375 Batch [0249]/[0303]: acc-top1=51.725000 acc-top5=75.737500 Batch [0299]/[0303]: acc-top1=51.213542 acc-top5=75.817708 [Epoch 143] training: accuracy=49.605219 loss=2.172118 [Epoch 143] speed: 118 samples/sec time cost: 2142.375421 [Epoch 143] validation: acc-top1=51.088078 acc-top5=75.763201 loss=2.303003 Epoch[144] Batch [0049]/[3760] Speed: 89.142456 samples/sec accuracy=50.343750 loss=2.127172 lr=0.023308 Epoch[144] Batch [0099]/[3760] Speed: 120.908991 samples/sec accuracy=51.140625 loss=2.107633 lr=0.023297 Epoch[144] Batch [0149]/[3760] Speed: 119.884849 samples/sec accuracy=50.750000 loss=2.125847 lr=0.023286 Epoch[144] Batch [0199]/[3760] Speed: 120.024792 samples/sec accuracy=50.578125 loss=2.131656 lr=0.023276 Epoch[144] Batch [0249]/[3760] Speed: 118.935640 samples/sec accuracy=50.475000 loss=2.139934 lr=0.023265 Epoch[144] Batch [0299]/[3760] Speed: 119.991018 samples/sec accuracy=50.322917 loss=2.143449 lr=0.023254 Epoch[144] Batch [0349]/[3760] Speed: 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accuracy=49.762500 loss=2.156719 lr=0.022938 Epoch[144] Batch [1799]/[3760] Speed: 119.423626 samples/sec accuracy=49.804688 loss=2.155214 lr=0.022928 Epoch[144] Batch [1849]/[3760] Speed: 119.675063 samples/sec accuracy=49.804899 loss=2.155355 lr=0.022917 Epoch[144] Batch [1899]/[3760] Speed: 119.037695 samples/sec accuracy=49.803454 loss=2.155487 lr=0.022906 Epoch[144] Batch [1949]/[3760] Speed: 118.640229 samples/sec accuracy=49.819712 loss=2.155439 lr=0.022895 Epoch[144] Batch [1999]/[3760] Speed: 120.192882 samples/sec accuracy=49.819531 loss=2.155308 lr=0.022884 Epoch[144] Batch [2049]/[3760] Speed: 119.739633 samples/sec accuracy=49.806402 loss=2.155930 lr=0.022873 Epoch[144] Batch [2099]/[3760] Speed: 119.186552 samples/sec accuracy=49.810268 loss=2.155626 lr=0.022863 Epoch[144] Batch [2149]/[3760] Speed: 120.340767 samples/sec accuracy=49.818314 loss=2.155893 lr=0.022852 Epoch[144] Batch [2199]/[3760] Speed: 118.531248 samples/sec accuracy=49.809659 loss=2.156614 lr=0.022841 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loss=2.157050 lr=0.022635 Epoch[144] Batch [3199]/[3760] Speed: 119.992680 samples/sec accuracy=49.797363 loss=2.157230 lr=0.022625 Epoch[144] Batch [3249]/[3760] Speed: 119.850850 samples/sec accuracy=49.781731 loss=2.157356 lr=0.022614 Epoch[144] Batch [3299]/[3760] Speed: 119.133528 samples/sec accuracy=49.778883 loss=2.157405 lr=0.022603 Epoch[144] Batch [3349]/[3760] Speed: 119.978523 samples/sec accuracy=49.788713 loss=2.157241 lr=0.022592 Epoch[144] Batch [3399]/[3760] Speed: 119.441729 samples/sec accuracy=49.785846 loss=2.157544 lr=0.022582 Epoch[144] Batch [3449]/[3760] Speed: 119.149544 samples/sec accuracy=49.786685 loss=2.157478 lr=0.022571 Epoch[144] Batch [3499]/[3760] Speed: 117.242147 samples/sec accuracy=49.799107 loss=2.156686 lr=0.022560 Epoch[144] Batch [3549]/[3760] Speed: 118.835110 samples/sec accuracy=49.779489 loss=2.156920 lr=0.022549 Epoch[144] Batch [3599]/[3760] Speed: 119.732397 samples/sec accuracy=49.771267 loss=2.157093 lr=0.022538 Epoch[144] Batch [3649]/[3760] Speed: 119.797674 samples/sec accuracy=49.782534 loss=2.157352 lr=0.022528 Epoch[144] Batch [3699]/[3760] Speed: 119.396081 samples/sec accuracy=49.788851 loss=2.157062 lr=0.022517 Epoch[144] Batch [3749]/[3760] Speed: 124.079311 samples/sec accuracy=49.800417 loss=2.156714 lr=0.022506 Batch [0049]/[0303]: acc-top1=49.968750 acc-top5=76.187500 Batch [0099]/[0303]: acc-top1=47.718750 acc-top5=74.421875 Batch [0149]/[0303]: acc-top1=48.968750 acc-top5=74.750000 Batch [0199]/[0303]: acc-top1=51.460938 acc-top5=76.546875 Batch [0249]/[0303]: acc-top1=50.912500 acc-top5=76.081250 Batch [0299]/[0303]: acc-top1=50.593750 acc-top5=76.036458 [Epoch 144] training: accuracy=49.796792 loss=2.156741 [Epoch 144] speed: 119 samples/sec time cost: 2138.969802 [Epoch 144] validation: acc-top1=50.587871 acc-top5=76.041667 loss=2.349739 Epoch[145] Batch [0049]/[3759] Speed: 88.609698 samples/sec accuracy=52.500000 loss=2.046775 lr=0.022493 Epoch[145] Batch [0099]/[3759] Speed: 119.819409 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loss=2.130877 lr=0.021882 Epoch[145] Batch [2949]/[3759] Speed: 119.835633 samples/sec accuracy=50.399894 loss=2.132087 lr=0.021872 Epoch[145] Batch [2999]/[3759] Speed: 119.588120 samples/sec accuracy=50.406250 loss=2.131535 lr=0.021861 Epoch[145] Batch [3049]/[3759] Speed: 120.182804 samples/sec accuracy=50.410861 loss=2.131726 lr=0.021850 Epoch[145] Batch [3099]/[3759] Speed: 119.724476 samples/sec accuracy=50.406250 loss=2.131839 lr=0.021840 Epoch[145] Batch [3149]/[3759] Speed: 118.901480 samples/sec accuracy=50.387401 loss=2.133388 lr=0.021829 Epoch[145] Batch [3199]/[3759] Speed: 119.628159 samples/sec accuracy=50.386719 loss=2.134028 lr=0.021818 Epoch[145] Batch [3249]/[3759] Speed: 119.598336 samples/sec accuracy=50.383654 loss=2.134216 lr=0.021808 Epoch[145] Batch [3299]/[3759] Speed: 119.778962 samples/sec accuracy=50.337595 loss=2.135860 lr=0.021797 Epoch[145] Batch [3349]/[3759] Speed: 119.365301 samples/sec accuracy=50.319963 loss=2.137395 lr=0.021786 Epoch[145] Batch 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acc-top5=74.385417 Batch [0199]/[0303]: acc-top1=52.031250 acc-top5=76.257812 Batch [0249]/[0303]: acc-top1=51.493750 acc-top5=76.312500 Batch [0299]/[0303]: acc-top1=51.072917 acc-top5=76.322917 [Epoch 145] training: accuracy=50.331704 loss=2.138974 [Epoch 145] speed: 119 samples/sec time cost: 2136.754969 [Epoch 145] validation: acc-top1=51.026196 acc-top5=76.320132 loss=2.245517 Epoch[146] Batch [0049]/[3760] Speed: 88.325195 samples/sec accuracy=51.156250 loss=2.089735 lr=0.021689 Epoch[146] Batch [0099]/[3760] Speed: 119.282650 samples/sec accuracy=51.156250 loss=2.088463 lr=0.021678 Epoch[146] Batch [0149]/[3760] Speed: 120.625483 samples/sec accuracy=51.083333 loss=2.095669 lr=0.021667 Epoch[146] Batch [0199]/[3760] Speed: 119.570722 samples/sec accuracy=50.632812 loss=2.112530 lr=0.021657 Epoch[146] Batch [0249]/[3760] Speed: 119.365512 samples/sec accuracy=50.593750 loss=2.119102 lr=0.021646 Epoch[146] Batch [0299]/[3760] Speed: 119.143635 samples/sec accuracy=50.619792 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accuracy=50.780000 loss=2.111074 lr=0.021434 Epoch[146] Batch [1299]/[3760] Speed: 119.735964 samples/sec accuracy=50.741587 loss=2.112824 lr=0.021423 Epoch[146] Batch [1349]/[3760] Speed: 118.446397 samples/sec accuracy=50.690972 loss=2.114160 lr=0.021413 Epoch[146] Batch [1399]/[3760] Speed: 119.416473 samples/sec accuracy=50.700893 loss=2.113841 lr=0.021402 Epoch[146] Batch [1449]/[3760] Speed: 120.059717 samples/sec accuracy=50.678879 loss=2.116098 lr=0.021392 Epoch[146] Batch [1499]/[3760] Speed: 120.162909 samples/sec accuracy=50.686458 loss=2.116350 lr=0.021381 Epoch[146] Batch [1549]/[3760] Speed: 119.099912 samples/sec accuracy=50.662298 loss=2.118541 lr=0.021371 Epoch[146] Batch [1599]/[3760] Speed: 119.850368 samples/sec accuracy=50.633789 loss=2.118736 lr=0.021360 Epoch[146] Batch [1649]/[3760] Speed: 118.663267 samples/sec accuracy=50.626894 loss=2.118296 lr=0.021349 Epoch[146] Batch [1699]/[3760] Speed: 119.618798 samples/sec accuracy=50.629596 loss=2.118884 lr=0.021339 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accuracy=50.620226 loss=2.123715 lr=0.020939 Epoch[146] Batch [3649]/[3760] Speed: 119.473747 samples/sec accuracy=50.598031 loss=2.124182 lr=0.020928 Epoch[146] Batch [3699]/[3760] Speed: 119.910888 samples/sec accuracy=50.612753 loss=2.123780 lr=0.020918 Epoch[146] Batch [3749]/[3760] Speed: 123.334524 samples/sec accuracy=50.612917 loss=2.124117 lr=0.020907 Batch [0049]/[0303]: acc-top1=49.531250 acc-top5=75.250000 Batch [0099]/[0303]: acc-top1=47.750000 acc-top5=74.343750 Batch [0149]/[0303]: acc-top1=49.625000 acc-top5=75.322917 Batch [0199]/[0303]: acc-top1=52.359375 acc-top5=76.960938 Batch [0249]/[0303]: acc-top1=51.737500 acc-top5=76.681250 Batch [0299]/[0303]: acc-top1=51.500000 acc-top5=76.854167 [Epoch 146] training: accuracy=50.613364 loss=2.124209 [Epoch 146] speed: 118 samples/sec time cost: 2141.065097 [Epoch 146] validation: acc-top1=51.412954 acc-top5=76.799711 loss=2.221136 Epoch[147] Batch [0049]/[3760] Speed: 88.103595 samples/sec accuracy=51.687500 loss=2.067394 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accuracy=51.134375 loss=2.092606 lr=0.020696 Epoch[147] Batch [1049]/[3760] Speed: 119.862374 samples/sec accuracy=51.117560 loss=2.092453 lr=0.020685 Epoch[147] Batch [1099]/[3760] Speed: 119.926597 samples/sec accuracy=51.151989 loss=2.092769 lr=0.020675 Epoch[147] Batch [1149]/[3760] Speed: 119.923552 samples/sec accuracy=51.176630 loss=2.090900 lr=0.020664 Epoch[147] Batch [1199]/[3760] Speed: 120.930119 samples/sec accuracy=51.183594 loss=2.089684 lr=0.020654 Epoch[147] Batch [1249]/[3760] Speed: 120.064012 samples/sec accuracy=51.235000 loss=2.086952 lr=0.020643 Epoch[147] Batch [1299]/[3760] Speed: 119.720384 samples/sec accuracy=51.240385 loss=2.086798 lr=0.020633 Epoch[147] Batch [1349]/[3760] Speed: 119.692271 samples/sec accuracy=51.199074 loss=2.089157 lr=0.020623 Epoch[147] Batch [1399]/[3760] Speed: 119.846974 samples/sec accuracy=51.214286 loss=2.090739 lr=0.020612 Epoch[147] Batch [1449]/[3760] Speed: 119.946938 samples/sec accuracy=51.188578 loss=2.092124 lr=0.020602 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loss=2.099208 lr=0.020404 Epoch[147] Batch [2449]/[3760] Speed: 119.412618 samples/sec accuracy=51.026786 loss=2.100207 lr=0.020393 Epoch[147] Batch [2499]/[3760] Speed: 119.349026 samples/sec accuracy=51.025000 loss=2.100470 lr=0.020383 Epoch[147] Batch [2549]/[3760] Speed: 119.412200 samples/sec accuracy=51.041667 loss=2.100561 lr=0.020373 Epoch[147] Batch [2599]/[3760] Speed: 120.175292 samples/sec accuracy=51.043870 loss=2.100793 lr=0.020362 Epoch[147] Batch [2649]/[3760] Speed: 119.526083 samples/sec accuracy=51.018278 loss=2.101924 lr=0.020352 Epoch[147] Batch [2699]/[3760] Speed: 120.436601 samples/sec accuracy=51.021412 loss=2.101518 lr=0.020342 Epoch[147] Batch [2749]/[3760] Speed: 120.135355 samples/sec accuracy=51.027841 loss=2.101389 lr=0.020331 Epoch[147] Batch [2799]/[3760] Speed: 119.694338 samples/sec accuracy=51.029018 loss=2.101635 lr=0.020321 Epoch[147] Batch [2849]/[3760] Speed: 118.866114 samples/sec accuracy=51.001096 loss=2.102847 lr=0.020310 Epoch[147] Batch 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accuracy=50.944496 loss=2.105096 lr=0.020207 Epoch[147] Batch [3399]/[3760] Speed: 118.647148 samples/sec accuracy=50.946232 loss=2.105235 lr=0.020196 Epoch[147] Batch [3449]/[3760] Speed: 119.388121 samples/sec accuracy=50.927083 loss=2.105684 lr=0.020186 Epoch[147] Batch [3499]/[3760] Speed: 119.463949 samples/sec accuracy=50.957589 loss=2.105092 lr=0.020176 Epoch[147] Batch [3549]/[3760] Speed: 117.615917 samples/sec accuracy=50.937940 loss=2.105713 lr=0.020165 Epoch[147] Batch [3599]/[3760] Speed: 119.345008 samples/sec accuracy=50.921007 loss=2.106251 lr=0.020155 Epoch[147] Batch [3649]/[3760] Speed: 119.344226 samples/sec accuracy=50.944349 loss=2.105447 lr=0.020145 Epoch[147] Batch [3699]/[3760] Speed: 119.245545 samples/sec accuracy=50.946368 loss=2.105771 lr=0.020134 Epoch[147] Batch [3749]/[3760] Speed: 123.759339 samples/sec accuracy=50.944583 loss=2.105730 lr=0.020124 Batch [0049]/[0303]: acc-top1=50.656250 acc-top5=75.062500 Batch [0099]/[0303]: acc-top1=48.781250 acc-top5=74.312500 Batch [0149]/[0303]: acc-top1=49.770833 acc-top5=74.760417 Batch [0199]/[0303]: acc-top1=52.773438 acc-top5=76.632812 Batch [0249]/[0303]: acc-top1=52.018750 acc-top5=76.443750 Batch [0299]/[0303]: acc-top1=51.463542 acc-top5=76.562500 [Epoch 147] training: accuracy=50.944980 loss=2.105852 [Epoch 147] speed: 119 samples/sec time cost: 2138.587513 [Epoch 147] validation: acc-top1=51.454208 acc-top5=76.588284 loss=2.274462 Epoch[148] Batch [0049]/[3759] Speed: 88.862409 samples/sec accuracy=51.125000 loss=2.080458 lr=0.020112 Epoch[148] Batch [0099]/[3759] Speed: 120.156907 samples/sec accuracy=51.609375 loss=2.056437 lr=0.020101 Epoch[148] Batch [0149]/[3759] Speed: 119.157165 samples/sec accuracy=51.302083 loss=2.074867 lr=0.020091 Epoch[148] Batch [0199]/[3759] Speed: 118.651227 samples/sec accuracy=51.609375 loss=2.078251 lr=0.020081 Epoch[148] Batch [0249]/[3759] Speed: 119.727230 samples/sec accuracy=51.712500 loss=2.071504 lr=0.020070 Epoch[148] Batch 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accuracy=51.912500 loss=2.062133 lr=0.019967 Epoch[148] Batch [0799]/[3759] Speed: 118.893364 samples/sec accuracy=51.853516 loss=2.064612 lr=0.019957 Epoch[148] Batch [0849]/[3759] Speed: 119.704319 samples/sec accuracy=51.904412 loss=2.063207 lr=0.019946 Epoch[148] Batch [0899]/[3759] Speed: 120.052154 samples/sec accuracy=51.850694 loss=2.065773 lr=0.019936 Epoch[148] Batch [0949]/[3759] Speed: 119.747329 samples/sec accuracy=51.800987 loss=2.066862 lr=0.019926 Epoch[148] Batch [0999]/[3759] Speed: 118.658572 samples/sec accuracy=51.787500 loss=2.069478 lr=0.019915 Epoch[148] Batch [1049]/[3759] Speed: 119.272317 samples/sec accuracy=51.702381 loss=2.072419 lr=0.019905 Epoch[148] Batch [1099]/[3759] Speed: 117.237871 samples/sec accuracy=51.710227 loss=2.072982 lr=0.019895 Epoch[148] Batch [1149]/[3759] Speed: 119.860465 samples/sec accuracy=51.677989 loss=2.073954 lr=0.019885 Epoch[148] Batch [1199]/[3759] Speed: 118.735718 samples/sec accuracy=51.692708 loss=2.073539 lr=0.019874 Epoch[148] Batch [1249]/[3759] Speed: 119.448084 samples/sec accuracy=51.683750 loss=2.073725 lr=0.019864 Epoch[148] Batch [1299]/[3759] Speed: 118.919185 samples/sec accuracy=51.662260 loss=2.075907 lr=0.019854 Epoch[148] Batch [1349]/[3759] Speed: 119.639413 samples/sec accuracy=51.620370 loss=2.076890 lr=0.019843 Epoch[148] Batch [1399]/[3759] Speed: 119.750409 samples/sec accuracy=51.582589 loss=2.078263 lr=0.019833 Epoch[148] Batch [1449]/[3759] Speed: 119.419266 samples/sec accuracy=51.587284 loss=2.078400 lr=0.019823 Epoch[148] Batch [1499]/[3759] Speed: 120.332082 samples/sec accuracy=51.523958 loss=2.081871 lr=0.019813 Epoch[148] Batch [1549]/[3759] Speed: 119.652106 samples/sec accuracy=51.537298 loss=2.080661 lr=0.019802 Epoch[148] Batch [1599]/[3759] Speed: 119.619476 samples/sec accuracy=51.526367 loss=2.081133 lr=0.019792 Epoch[148] Batch [1649]/[3759] Speed: 119.535706 samples/sec accuracy=51.519886 loss=2.080135 lr=0.019782 Epoch[148] Batch [1699]/[3759] Speed: 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loss=2.083007 lr=0.019679 Epoch[148] Batch [2199]/[3759] Speed: 119.558083 samples/sec accuracy=51.397017 loss=2.082995 lr=0.019669 Epoch[148] Batch [2249]/[3759] Speed: 119.498467 samples/sec accuracy=51.425000 loss=2.081539 lr=0.019659 Epoch[148] Batch [2299]/[3759] Speed: 117.663066 samples/sec accuracy=51.408288 loss=2.082264 lr=0.019648 Epoch[148] Batch [2349]/[3759] Speed: 119.836159 samples/sec accuracy=51.410904 loss=2.082254 lr=0.019638 Epoch[148] Batch [2399]/[3759] Speed: 119.715618 samples/sec accuracy=51.407552 loss=2.082446 lr=0.019628 Epoch[148] Batch [2449]/[3759] Speed: 119.872692 samples/sec accuracy=51.403061 loss=2.082460 lr=0.019618 Epoch[148] Batch [2499]/[3759] Speed: 119.942583 samples/sec accuracy=51.392500 loss=2.083718 lr=0.019607 Epoch[148] Batch [2549]/[3759] Speed: 119.403664 samples/sec accuracy=51.378676 loss=2.084192 lr=0.019597 Epoch[148] Batch [2599]/[3759] Speed: 119.679897 samples/sec accuracy=51.383413 loss=2.083772 lr=0.019587 Epoch[148] Batch 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accuracy=51.420867 loss=2.082964 lr=0.019485 Epoch[148] Batch [3149]/[3759] Speed: 120.143631 samples/sec accuracy=51.415179 loss=2.083366 lr=0.019474 Epoch[148] Batch [3199]/[3759] Speed: 119.464297 samples/sec accuracy=51.406250 loss=2.083824 lr=0.019464 Epoch[148] Batch [3249]/[3759] Speed: 119.284874 samples/sec accuracy=51.386058 loss=2.085220 lr=0.019454 Epoch[148] Batch [3299]/[3759] Speed: 119.521843 samples/sec accuracy=51.403883 loss=2.084345 lr=0.019444 Epoch[148] Batch [3349]/[3759] Speed: 120.477855 samples/sec accuracy=51.410448 loss=2.084151 lr=0.019433 Epoch[148] Batch [3399]/[3759] Speed: 119.625349 samples/sec accuracy=51.400735 loss=2.085105 lr=0.019423 Epoch[148] Batch [3449]/[3759] Speed: 118.649912 samples/sec accuracy=51.394928 loss=2.085080 lr=0.019413 Epoch[148] Batch [3499]/[3759] Speed: 118.806026 samples/sec accuracy=51.404911 loss=2.084318 lr=0.019403 Epoch[148] Batch [3549]/[3759] Speed: 119.933218 samples/sec accuracy=51.380722 loss=2.085177 lr=0.019393 Epoch[148] Batch [3599]/[3759] Speed: 119.409236 samples/sec accuracy=51.369358 loss=2.085338 lr=0.019382 Epoch[148] Batch [3649]/[3759] Speed: 118.590583 samples/sec accuracy=51.353168 loss=2.086251 lr=0.019372 Epoch[148] Batch [3699]/[3759] Speed: 118.995276 samples/sec accuracy=51.341216 loss=2.087171 lr=0.019362 Epoch[148] Batch [3749]/[3759] Speed: 123.293052 samples/sec accuracy=51.330000 loss=2.086903 lr=0.019352 Batch [0049]/[0303]: acc-top1=49.562500 acc-top5=75.250000 Batch [0099]/[0303]: acc-top1=48.640625 acc-top5=74.500000 Batch [0149]/[0303]: acc-top1=49.447917 acc-top5=75.083333 Batch [0199]/[0303]: acc-top1=52.125000 acc-top5=76.609375 Batch [0249]/[0303]: acc-top1=51.937500 acc-top5=76.393750 Batch [0299]/[0303]: acc-top1=51.781250 acc-top5=76.593750 [Epoch 148] training: accuracy=51.337623 loss=2.086737 [Epoch 148] speed: 118 samples/sec time cost: 2140.044820 [Epoch 148] validation: acc-top1=51.773927 acc-top5=76.588284 loss=2.262153 Epoch[149] Batch [0049]/[3760] Speed: 87.774212 samples/sec accuracy=51.125000 loss=2.058666 lr=0.019340 Epoch[149] Batch [0099]/[3760] Speed: 120.435285 samples/sec accuracy=51.953125 loss=2.037594 lr=0.019330 Epoch[149] Batch [0149]/[3760] Speed: 120.107030 samples/sec accuracy=52.041667 loss=2.051194 lr=0.019319 Epoch[149] Batch [0199]/[3760] Speed: 120.055099 samples/sec accuracy=52.000000 loss=2.061152 lr=0.019309 Epoch[149] Batch [0249]/[3760] Speed: 119.635774 samples/sec accuracy=52.031250 loss=2.060226 lr=0.019299 Epoch[149] Batch [0299]/[3760] Speed: 118.954893 samples/sec accuracy=51.994792 loss=2.061684 lr=0.019289 Epoch[149] Batch [0349]/[3760] Speed: 118.865428 samples/sec accuracy=51.977679 loss=2.058606 lr=0.019279 Epoch[149] Batch [0399]/[3760] Speed: 118.965678 samples/sec accuracy=51.964844 loss=2.055696 lr=0.019269 Epoch[149] Batch [0449]/[3760] Speed: 119.615716 samples/sec accuracy=51.725694 loss=2.061168 lr=0.019258 Epoch[149] Batch [0499]/[3760] Speed: 118.864238 samples/sec accuracy=51.890625 loss=2.056859 lr=0.019248 Epoch[149] Batch [0549]/[3760] Speed: 119.780429 samples/sec accuracy=51.940341 loss=2.054376 lr=0.019238 Epoch[149] Batch [0599]/[3760] Speed: 118.906484 samples/sec accuracy=52.065104 loss=2.050498 lr=0.019228 Epoch[149] Batch [0649]/[3760] Speed: 119.699104 samples/sec accuracy=51.992788 loss=2.052334 lr=0.019218 Epoch[149] Batch [0699]/[3760] Speed: 118.891874 samples/sec accuracy=51.968750 loss=2.052843 lr=0.019208 Epoch[149] Batch [0749]/[3760] Speed: 119.522954 samples/sec accuracy=51.893750 loss=2.056089 lr=0.019197 Epoch[149] Batch [0799]/[3760] Speed: 118.289430 samples/sec accuracy=51.921875 loss=2.055665 lr=0.019187 Epoch[149] Batch [0849]/[3760] Speed: 119.131614 samples/sec accuracy=51.963235 loss=2.054779 lr=0.019177 Epoch[149] Batch [0899]/[3760] Speed: 119.165392 samples/sec accuracy=51.916667 loss=2.057388 lr=0.019167 Epoch[149] Batch [0949]/[3760] Speed: 119.605514 samples/sec accuracy=51.935855 loss=2.055992 lr=0.019157 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loss=2.066761 lr=0.018964 Epoch[149] Batch [1949]/[3760] Speed: 119.485643 samples/sec accuracy=51.770032 loss=2.066004 lr=0.018954 Epoch[149] Batch [1999]/[3760] Speed: 119.254166 samples/sec accuracy=51.735937 loss=2.067113 lr=0.018944 Epoch[149] Batch [2049]/[3760] Speed: 119.720628 samples/sec accuracy=51.722561 loss=2.067022 lr=0.018934 Epoch[149] Batch [2099]/[3760] Speed: 119.586492 samples/sec accuracy=51.713542 loss=2.066939 lr=0.018924 Epoch[149] Batch [2149]/[3760] Speed: 119.668057 samples/sec accuracy=51.739099 loss=2.065989 lr=0.018914 Epoch[149] Batch [2199]/[3760] Speed: 119.125838 samples/sec accuracy=51.764205 loss=2.064266 lr=0.018904 Epoch[149] Batch [2249]/[3760] Speed: 119.439273 samples/sec accuracy=51.771528 loss=2.064071 lr=0.018894 Epoch[149] Batch [2299]/[3760] Speed: 120.666318 samples/sec accuracy=51.818614 loss=2.063707 lr=0.018883 Epoch[149] Batch [2349]/[3760] Speed: 118.661580 samples/sec accuracy=51.839761 loss=2.063456 lr=0.018873 Epoch[149] Batch 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accuracy=51.780702 loss=2.067575 lr=0.018773 Epoch[149] Batch [2899]/[3760] Speed: 119.570548 samples/sec accuracy=51.806034 loss=2.066806 lr=0.018762 Epoch[149] Batch [2949]/[3760] Speed: 118.738789 samples/sec accuracy=51.795551 loss=2.067515 lr=0.018752 Epoch[149] Batch [2999]/[3760] Speed: 118.975797 samples/sec accuracy=51.768229 loss=2.068616 lr=0.018742 Epoch[149] Batch [3049]/[3760] Speed: 118.268550 samples/sec accuracy=51.795082 loss=2.068127 lr=0.018732 Epoch[149] Batch [3099]/[3760] Speed: 119.222600 samples/sec accuracy=51.793347 loss=2.068351 lr=0.018722 Epoch[149] Batch [3149]/[3760] Speed: 119.498454 samples/sec accuracy=51.784722 loss=2.068392 lr=0.018712 Epoch[149] Batch [3199]/[3760] Speed: 119.287476 samples/sec accuracy=51.810547 loss=2.067595 lr=0.018702 Epoch[149] Batch [3249]/[3760] Speed: 119.018667 samples/sec accuracy=51.818750 loss=2.067717 lr=0.018692 Epoch[149] Batch [3299]/[3760] Speed: 119.125598 samples/sec accuracy=51.812027 loss=2.067674 lr=0.018682 Epoch[149] Batch [3349]/[3760] Speed: 119.559373 samples/sec accuracy=51.824160 loss=2.066987 lr=0.018672 Epoch[149] Batch [3399]/[3760] Speed: 119.348276 samples/sec accuracy=51.797794 loss=2.068050 lr=0.018662 Epoch[149] Batch [3449]/[3760] Speed: 118.873762 samples/sec accuracy=51.775815 loss=2.068647 lr=0.018652 Epoch[149] Batch [3499]/[3760] Speed: 119.860601 samples/sec accuracy=51.792857 loss=2.067928 lr=0.018642 Epoch[149] Batch [3549]/[3760] Speed: 119.455676 samples/sec accuracy=51.802817 loss=2.067641 lr=0.018632 Epoch[149] Batch [3599]/[3760] Speed: 120.134013 samples/sec accuracy=51.772135 loss=2.068668 lr=0.018622 Epoch[149] Batch [3649]/[3760] Speed: 119.424351 samples/sec accuracy=51.755565 loss=2.069255 lr=0.018612 Epoch[149] Batch [3699]/[3760] Speed: 117.411094 samples/sec accuracy=51.766470 loss=2.069011 lr=0.018602 Epoch[149] Batch [3749]/[3760] Speed: 123.072171 samples/sec accuracy=51.767917 loss=2.068751 lr=0.018592 Batch [0049]/[0303]: acc-top1=49.968750 acc-top5=75.343750 Batch [0099]/[0303]: acc-top1=48.484375 acc-top5=74.765625 Batch [0149]/[0303]: acc-top1=50.322917 acc-top5=75.781250 Batch [0199]/[0303]: acc-top1=53.156250 acc-top5=77.437500 Batch [0249]/[0303]: acc-top1=52.762500 acc-top5=77.143750 Batch [0299]/[0303]: acc-top1=52.401042 acc-top5=77.203125 [Epoch 149] training: accuracy=51.772357 loss=2.068883 [Epoch 149] speed: 118 samples/sec time cost: 2142.804008 [Epoch 149] validation: acc-top1=52.346328 acc-top5=77.196782 loss=2.214760 Epoch[150] Batch [0049]/[3760] Speed: 88.408346 samples/sec accuracy=51.750000 loss=1.980010 lr=0.018580 Epoch[150] Batch [0099]/[3760] Speed: 119.550053 samples/sec accuracy=52.906250 loss=1.988035 lr=0.018570 Epoch[150] Batch [0149]/[3760] Speed: 118.935231 samples/sec accuracy=53.260417 loss=1.985185 lr=0.018559 Epoch[150] Batch [0199]/[3760] Speed: 119.787666 samples/sec accuracy=53.054688 loss=1.997497 lr=0.018549 Epoch[150] Batch [0249]/[3760] Speed: 119.055101 samples/sec accuracy=53.131250 loss=1.996189 lr=0.018539 Epoch[150] Batch [0299]/[3760] Speed: 119.540150 samples/sec accuracy=53.015625 loss=1.999251 lr=0.018529 Epoch[150] Batch [0349]/[3760] Speed: 119.181645 samples/sec accuracy=53.125000 loss=1.996052 lr=0.018519 Epoch[150] Batch [0399]/[3760] Speed: 119.427801 samples/sec accuracy=53.125000 loss=1.999872 lr=0.018509 Epoch[150] Batch [0449]/[3760] Speed: 120.246599 samples/sec accuracy=52.868056 loss=2.009864 lr=0.018499 Epoch[150] Batch [0499]/[3760] Speed: 119.089671 samples/sec accuracy=52.806250 loss=2.011876 lr=0.018489 Epoch[150] Batch [0549]/[3760] Speed: 119.909734 samples/sec accuracy=52.786932 loss=2.013820 lr=0.018479 Epoch[150] Batch [0599]/[3760] Speed: 119.325447 samples/sec accuracy=52.695312 loss=2.018462 lr=0.018469 Epoch[150] Batch [0649]/[3760] Speed: 119.608974 samples/sec accuracy=52.740385 loss=2.017645 lr=0.018459 Epoch[150] Batch [0699]/[3760] Speed: 119.643830 samples/sec accuracy=52.696429 loss=2.016466 lr=0.018449 Epoch[150] Batch [0749]/[3760] Speed: 119.524648 samples/sec accuracy=52.720833 loss=2.016772 lr=0.018439 Epoch[150] Batch [0799]/[3760] Speed: 119.732394 samples/sec accuracy=52.748047 loss=2.015677 lr=0.018429 Epoch[150] Batch [0849]/[3760] Speed: 119.809139 samples/sec accuracy=52.716912 loss=2.017867 lr=0.018419 Epoch[150] Batch [0899]/[3760] Speed: 118.926325 samples/sec accuracy=52.680556 loss=2.019329 lr=0.018409 Epoch[150] Batch [0949]/[3760] Speed: 119.534672 samples/sec accuracy=52.646382 loss=2.022864 lr=0.018399 Epoch[150] Batch [0999]/[3760] Speed: 119.724170 samples/sec accuracy=52.560938 loss=2.024949 lr=0.018389 Epoch[150] Batch [1049]/[3760] Speed: 119.707687 samples/sec accuracy=52.565476 loss=2.024245 lr=0.018379 Epoch[150] Batch [1099]/[3760] Speed: 119.864974 samples/sec accuracy=52.519886 loss=2.023870 lr=0.018369 Epoch[150] Batch [1149]/[3760] Speed: 119.158302 samples/sec accuracy=52.474185 loss=2.025475 lr=0.018359 Epoch[150] Batch [1199]/[3760] Speed: 119.235863 samples/sec accuracy=52.423177 loss=2.028875 lr=0.018349 Epoch[150] Batch [1249]/[3760] Speed: 117.261892 samples/sec accuracy=52.432500 loss=2.029959 lr=0.018339 Epoch[150] Batch [1299]/[3760] Speed: 119.371917 samples/sec accuracy=52.462740 loss=2.030197 lr=0.018329 Epoch[150] Batch [1349]/[3760] Speed: 119.511556 samples/sec accuracy=52.541667 loss=2.028563 lr=0.018319 Epoch[150] Batch [1399]/[3760] Speed: 119.418060 samples/sec accuracy=52.542411 loss=2.028229 lr=0.018309 Epoch[150] Batch [1449]/[3760] Speed: 119.888701 samples/sec accuracy=52.522629 loss=2.029759 lr=0.018299 Epoch[150] Batch [1499]/[3760] Speed: 119.876306 samples/sec accuracy=52.472917 loss=2.032008 lr=0.018289 Epoch[150] Batch [1549]/[3760] Speed: 119.425009 samples/sec accuracy=52.472782 loss=2.032724 lr=0.018280 Epoch[150] Batch [1599]/[3760] Speed: 119.422276 samples/sec accuracy=52.494141 loss=2.032090 lr=0.018270 Epoch[150] Batch [1649]/[3760] Speed: 118.882843 samples/sec accuracy=52.508523 loss=2.029747 lr=0.018260 Epoch[150] Batch [1699]/[3760] Speed: 119.275927 samples/sec accuracy=52.434743 loss=2.032478 lr=0.018250 Epoch[150] Batch [1749]/[3760] Speed: 119.293302 samples/sec accuracy=52.414286 loss=2.032880 lr=0.018240 Epoch[150] Batch [1799]/[3760] Speed: 118.594541 samples/sec accuracy=52.394097 loss=2.033951 lr=0.018230 Epoch[150] Batch [1849]/[3760] Speed: 119.308462 samples/sec accuracy=52.336993 loss=2.035796 lr=0.018220 Epoch[150] Batch [1899]/[3760] Speed: 119.903847 samples/sec accuracy=52.320724 loss=2.036692 lr=0.018210 Epoch[150] Batch [1949]/[3760] Speed: 119.251017 samples/sec accuracy=52.330128 loss=2.037037 lr=0.018200 Epoch[150] Batch [1999]/[3760] Speed: 119.190553 samples/sec accuracy=52.337500 loss=2.038291 lr=0.018190 Epoch[150] Batch [2049]/[3760] Speed: 119.345916 samples/sec accuracy=52.344512 loss=2.037438 lr=0.018180 Epoch[150] Batch [2099]/[3760] Speed: 119.828374 samples/sec accuracy=52.316964 loss=2.038869 lr=0.018170 Epoch[150] Batch [2149]/[3760] Speed: 119.668118 samples/sec accuracy=52.306686 loss=2.039736 lr=0.018160 Epoch[150] Batch [2199]/[3760] Speed: 119.179701 samples/sec accuracy=52.282670 loss=2.040771 lr=0.018150 Epoch[150] Batch [2249]/[3760] Speed: 119.363167 samples/sec accuracy=52.272917 loss=2.040437 lr=0.018140 Epoch[150] Batch [2299]/[3760] Speed: 118.891939 samples/sec accuracy=52.300272 loss=2.039001 lr=0.018130 Epoch[150] Batch [2349]/[3760] Speed: 119.556761 samples/sec accuracy=52.292553 loss=2.039434 lr=0.018120 Epoch[150] Batch [2399]/[3760] Speed: 119.212155 samples/sec accuracy=52.276042 loss=2.040468 lr=0.018110 Epoch[150] Batch [2449]/[3760] Speed: 119.631736 samples/sec accuracy=52.260842 loss=2.040467 lr=0.018100 Epoch[150] Batch [2499]/[3760] Speed: 117.811202 samples/sec accuracy=52.260625 loss=2.041351 lr=0.018090 Epoch[150] Batch [2549]/[3760] Speed: 119.852253 samples/sec accuracy=52.257353 loss=2.042090 lr=0.018081 Epoch[150] Batch [2599]/[3760] Speed: 119.464749 samples/sec accuracy=52.259014 loss=2.042779 lr=0.018071 Epoch[150] Batch [2649]/[3760] Speed: 119.682647 samples/sec accuracy=52.264151 loss=2.043118 lr=0.018061 Epoch[150] Batch [2699]/[3760] Speed: 119.731005 samples/sec accuracy=52.236690 loss=2.044049 lr=0.018051 Epoch[150] Batch [2749]/[3760] Speed: 119.537412 samples/sec accuracy=52.222727 loss=2.043958 lr=0.018041 Epoch[150] Batch [2799]/[3760] Speed: 120.371061 samples/sec accuracy=52.224330 loss=2.043785 lr=0.018031 Epoch[150] Batch [2849]/[3760] Speed: 119.342258 samples/sec accuracy=52.221491 loss=2.043934 lr=0.018021 Epoch[150] Batch [2899]/[3760] Speed: 119.633255 samples/sec accuracy=52.230603 loss=2.044919 lr=0.018011 Epoch[150] Batch [2949]/[3760] Speed: 119.847359 samples/sec accuracy=52.225106 loss=2.043879 lr=0.018001 Epoch[150] Batch [2999]/[3760] Speed: 119.778708 samples/sec accuracy=52.235937 loss=2.043348 lr=0.017991 Epoch[150] Batch [3049]/[3760] Speed: 119.836704 samples/sec accuracy=52.239754 loss=2.043295 lr=0.017981 Epoch[150] Batch [3099]/[3760] Speed: 119.569090 samples/sec accuracy=52.258569 loss=2.042648 lr=0.017971 Epoch[150] Batch [3149]/[3760] Speed: 119.396969 samples/sec accuracy=52.235615 loss=2.043716 lr=0.017962 Epoch[150] Batch [3199]/[3760] Speed: 119.128366 samples/sec accuracy=52.256836 loss=2.043631 lr=0.017952 Epoch[150] Batch [3249]/[3760] Speed: 119.559609 samples/sec accuracy=52.257212 loss=2.042953 lr=0.017942 Epoch[150] Batch [3299]/[3760] Speed: 119.254201 samples/sec accuracy=52.252367 loss=2.042941 lr=0.017932 Epoch[150] Batch [3349]/[3760] Speed: 119.115384 samples/sec accuracy=52.265392 loss=2.043168 lr=0.017922 Epoch[150] Batch [3399]/[3760] Speed: 120.224021 samples/sec accuracy=52.257812 loss=2.044302 lr=0.017912 Epoch[150] Batch [3449]/[3760] Speed: 118.834380 samples/sec accuracy=52.216033 loss=2.045952 lr=0.017902 Epoch[150] Batch [3499]/[3760] Speed: 119.650579 samples/sec accuracy=52.204911 loss=2.047112 lr=0.017892 Epoch[150] Batch [3549]/[3760] Speed: 120.078313 samples/sec accuracy=52.215669 loss=2.046410 lr=0.017882 Epoch[150] Batch [3599]/[3760] Speed: 119.708176 samples/sec accuracy=52.220486 loss=2.046319 lr=0.017873 Epoch[150] Batch [3649]/[3760] Speed: 119.255304 samples/sec accuracy=52.222603 loss=2.047334 lr=0.017863 Epoch[150] Batch [3699]/[3760] Speed: 120.383724 samples/sec accuracy=52.228041 loss=2.047136 lr=0.017853 Epoch[150] Batch [3749]/[3760] Speed: 122.783033 samples/sec accuracy=52.213750 loss=2.047655 lr=0.017843 Batch [0049]/[0303]: acc-top1=51.906250 acc-top5=76.687500 Batch [0099]/[0303]: acc-top1=50.734375 acc-top5=75.593750 Batch [0149]/[0303]: acc-top1=52.041667 acc-top5=76.437500 Batch [0199]/[0303]: acc-top1=54.187500 acc-top5=77.750000 Batch [0249]/[0303]: acc-top1=53.575000 acc-top5=77.375000 Batch [0299]/[0303]: acc-top1=52.817708 acc-top5=77.296875 [Epoch 150] training: accuracy=52.219082 loss=2.047676 [Epoch 150] speed: 118 samples/sec time cost: 2140.732798 [Epoch 150] validation: acc-top1=52.753713 acc-top5=77.320545 loss=2.200225 Epoch[151] Batch [0049]/[3759] Speed: 88.370349 samples/sec accuracy=54.343750 loss=1.965057 lr=0.017831 Epoch[151] Batch [0099]/[3759] Speed: 117.636963 samples/sec accuracy=54.453125 loss=1.958784 lr=0.017821 Epoch[151] Batch [0149]/[3759] Speed: 119.762378 samples/sec accuracy=53.479167 loss=1.985724 lr=0.017811 Epoch[151] Batch [0199]/[3759] Speed: 119.949391 samples/sec accuracy=52.835938 loss=1.994490 lr=0.017801 Epoch[151] Batch [0249]/[3759] Speed: 118.983934 samples/sec accuracy=52.712500 loss=2.003849 lr=0.017792 Epoch[151] Batch [0299]/[3759] Speed: 119.392937 samples/sec accuracy=52.703125 loss=2.002663 lr=0.017782 Epoch[151] Batch [0349]/[3759] Speed: 120.009290 samples/sec accuracy=52.700893 loss=2.006238 lr=0.017772 Epoch[151] Batch [0399]/[3759] Speed: 119.542704 samples/sec accuracy=52.601562 loss=2.007372 lr=0.017762 Epoch[151] Batch [0449]/[3759] Speed: 119.822547 samples/sec accuracy=52.618056 loss=2.009428 lr=0.017752 Epoch[151] Batch [0499]/[3759] Speed: 119.355671 samples/sec accuracy=52.715625 loss=2.008461 lr=0.017742 Epoch[151] Batch [0549]/[3759] Speed: 119.692667 samples/sec accuracy=52.715909 loss=2.009142 lr=0.017732 Epoch[151] Batch [0599]/[3759] Speed: 120.037046 samples/sec accuracy=52.606771 loss=2.015082 lr=0.017723 Epoch[151] Batch [0649]/[3759] Speed: 119.977998 samples/sec accuracy=52.540865 loss=2.018499 lr=0.017713 Epoch[151] Batch [0699]/[3759] Speed: 119.018772 samples/sec accuracy=52.560268 loss=2.016231 lr=0.017703 Epoch[151] Batch [0749]/[3759] Speed: 119.623518 samples/sec accuracy=52.610417 loss=2.012568 lr=0.017693 Epoch[151] Batch [0799]/[3759] Speed: 119.810714 samples/sec accuracy=52.480469 loss=2.019976 lr=0.017683 Epoch[151] Batch [0849]/[3759] Speed: 119.513176 samples/sec accuracy=52.533088 loss=2.024022 lr=0.017673 Epoch[151] Batch [0899]/[3759] Speed: 119.484743 samples/sec accuracy=52.421875 loss=2.026253 lr=0.017664 Epoch[151] Batch [0949]/[3759] 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accuracy=52.408482 loss=2.028395 lr=0.017565 Epoch[151] Batch [1449]/[3759] Speed: 119.057410 samples/sec accuracy=52.397629 loss=2.027104 lr=0.017555 Epoch[151] Batch [1499]/[3759] Speed: 120.250836 samples/sec accuracy=52.423958 loss=2.025586 lr=0.017546 Epoch[151] Batch [1549]/[3759] Speed: 119.342977 samples/sec accuracy=52.401210 loss=2.028228 lr=0.017536 Epoch[151] Batch [1599]/[3759] Speed: 119.886590 samples/sec accuracy=52.399414 loss=2.028148 lr=0.017526 Epoch[151] Batch [1649]/[3759] Speed: 119.127572 samples/sec accuracy=52.420455 loss=2.028946 lr=0.017516 Epoch[151] Batch [1699]/[3759] Speed: 119.086904 samples/sec accuracy=52.422794 loss=2.029636 lr=0.017506 Epoch[151] Batch [1749]/[3759] Speed: 120.114751 samples/sec accuracy=52.416964 loss=2.029556 lr=0.017497 Epoch[151] Batch [1799]/[3759] Speed: 119.000662 samples/sec accuracy=52.412326 loss=2.030930 lr=0.017487 Epoch[151] Batch [1849]/[3759] Speed: 120.025676 samples/sec accuracy=52.390203 loss=2.031147 lr=0.017477 Epoch[151] Batch [1899]/[3759] Speed: 119.185372 samples/sec accuracy=52.427632 loss=2.031610 lr=0.017467 Epoch[151] Batch [1949]/[3759] Speed: 119.623787 samples/sec accuracy=52.444712 loss=2.030686 lr=0.017457 Epoch[151] Batch [1999]/[3759] Speed: 119.835984 samples/sec accuracy=52.429688 loss=2.030917 lr=0.017448 Epoch[151] Batch [2049]/[3759] Speed: 119.732537 samples/sec accuracy=52.448933 loss=2.030506 lr=0.017438 Epoch[151] Batch [2099]/[3759] Speed: 119.952773 samples/sec accuracy=52.424851 loss=2.032141 lr=0.017428 Epoch[151] Batch [2149]/[3759] Speed: 119.646586 samples/sec accuracy=52.412791 loss=2.032223 lr=0.017418 Epoch[151] Batch [2199]/[3759] Speed: 119.877411 samples/sec accuracy=52.404119 loss=2.032788 lr=0.017408 Epoch[151] Batch [2249]/[3759] Speed: 120.112421 samples/sec accuracy=52.445833 loss=2.032146 lr=0.017399 Epoch[151] Batch [2299]/[3759] Speed: 119.813245 samples/sec accuracy=52.476902 loss=2.031166 lr=0.017389 Epoch[151] Batch [2349]/[3759] Speed: 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loss=2.033264 lr=0.017291 Epoch[151] Batch [2849]/[3759] Speed: 119.890871 samples/sec accuracy=52.452303 loss=2.034130 lr=0.017281 Epoch[151] Batch [2899]/[3759] Speed: 119.996575 samples/sec accuracy=52.460668 loss=2.033965 lr=0.017272 Epoch[151] Batch [2949]/[3759] Speed: 119.139728 samples/sec accuracy=52.460275 loss=2.034069 lr=0.017262 Epoch[151] Batch [2999]/[3759] Speed: 119.314229 samples/sec accuracy=52.451042 loss=2.034738 lr=0.017252 Epoch[151] Batch [3049]/[3759] Speed: 119.623768 samples/sec accuracy=52.446721 loss=2.035277 lr=0.017243 Epoch[151] Batch [3099]/[3759] Speed: 119.949938 samples/sec accuracy=52.450101 loss=2.035156 lr=0.017233 Epoch[151] Batch [3149]/[3759] Speed: 119.261822 samples/sec accuracy=52.442460 loss=2.034588 lr=0.017223 Epoch[151] Batch [3199]/[3759] Speed: 119.976445 samples/sec accuracy=52.455566 loss=2.034011 lr=0.017213 Epoch[151] Batch [3249]/[3759] Speed: 119.163804 samples/sec accuracy=52.466346 loss=2.034037 lr=0.017204 Epoch[151] Batch 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accuracy=52.474583 loss=2.036334 lr=0.017106 Batch [0049]/[0303]: acc-top1=53.125000 acc-top5=77.343750 Batch [0099]/[0303]: acc-top1=50.328125 acc-top5=75.546875 Batch [0149]/[0303]: acc-top1=51.916667 acc-top5=76.291667 Batch [0199]/[0303]: acc-top1=54.265625 acc-top5=77.843750 Batch [0249]/[0303]: acc-top1=53.831250 acc-top5=77.631250 Batch [0299]/[0303]: acc-top1=53.281250 acc-top5=77.640625 [Epoch 151] training: accuracy=52.467827 loss=2.036603 [Epoch 151] speed: 119 samples/sec time cost: 2137.726960 [Epoch 151] validation: acc-top1=53.295173 acc-top5=77.629950 loss=2.193001 Epoch[152] Batch [0049]/[3760] Speed: 87.719230 samples/sec accuracy=53.062500 loss=1.978557 lr=0.017095 Epoch[152] Batch [0099]/[3760] Speed: 119.680859 samples/sec accuracy=52.718750 loss=2.014726 lr=0.017085 Epoch[152] Batch [0149]/[3760] Speed: 117.693253 samples/sec accuracy=52.520833 loss=2.025878 lr=0.017075 Epoch[152] Batch [0199]/[3760] Speed: 120.599161 samples/sec accuracy=52.546875 loss=2.019855 lr=0.017066 Epoch[152] Batch [0249]/[3760] Speed: 119.063517 samples/sec accuracy=53.087500 loss=2.001090 lr=0.017056 Epoch[152] Batch [0299]/[3760] Speed: 119.615102 samples/sec accuracy=53.270833 loss=1.997019 lr=0.017046 Epoch[152] Batch [0349]/[3760] Speed: 119.011915 samples/sec accuracy=53.258929 loss=2.002333 lr=0.017037 Epoch[152] Batch [0399]/[3760] Speed: 119.711636 samples/sec accuracy=53.226562 loss=2.005725 lr=0.017027 Epoch[152] Batch [0449]/[3760] Speed: 119.658411 samples/sec accuracy=53.180556 loss=2.007166 lr=0.017017 Epoch[152] Batch [0499]/[3760] Speed: 119.249233 samples/sec accuracy=53.312500 loss=2.004098 lr=0.017008 Epoch[152] Batch [0549]/[3760] Speed: 118.931333 samples/sec accuracy=53.463068 loss=1.997261 lr=0.016998 Epoch[152] Batch [0599]/[3760] Speed: 119.320470 samples/sec accuracy=53.494792 loss=1.992491 lr=0.016988 Epoch[152] Batch [0649]/[3760] Speed: 120.008784 samples/sec accuracy=53.487981 loss=1.990172 lr=0.016978 Epoch[152] Batch [0699]/[3760] Speed: 119.324718 samples/sec accuracy=53.381696 loss=1.996215 lr=0.016969 Epoch[152] Batch [0749]/[3760] Speed: 120.778707 samples/sec accuracy=53.470833 loss=1.991428 lr=0.016959 Epoch[152] Batch [0799]/[3760] Speed: 119.081405 samples/sec accuracy=53.509766 loss=1.989260 lr=0.016949 Epoch[152] Batch [0849]/[3760] Speed: 119.816763 samples/sec accuracy=53.511029 loss=1.992507 lr=0.016940 Epoch[152] Batch [0899]/[3760] Speed: 119.831366 samples/sec accuracy=53.536458 loss=1.990426 lr=0.016930 Epoch[152] Batch [0949]/[3760] Speed: 119.415697 samples/sec accuracy=53.519737 loss=1.989838 lr=0.016920 Epoch[152] Batch [0999]/[3760] Speed: 119.473222 samples/sec accuracy=53.501562 loss=1.989990 lr=0.016911 Epoch[152] Batch [1049]/[3760] Speed: 119.857388 samples/sec accuracy=53.502976 loss=1.988177 lr=0.016901 Epoch[152] Batch [1099]/[3760] Speed: 119.642979 samples/sec accuracy=53.477273 loss=1.987846 lr=0.016891 Epoch[152] Batch [1149]/[3760] Speed: 120.144441 samples/sec accuracy=53.463315 loss=1.986816 lr=0.016882 Epoch[152] Batch [1199]/[3760] Speed: 119.332956 samples/sec accuracy=53.434896 loss=1.988136 lr=0.016872 Epoch[152] Batch [1249]/[3760] Speed: 118.617044 samples/sec accuracy=53.386250 loss=1.990905 lr=0.016862 Epoch[152] Batch [1299]/[3760] Speed: 119.161310 samples/sec accuracy=53.300481 loss=1.994758 lr=0.016853 Epoch[152] Batch [1349]/[3760] Speed: 119.578585 samples/sec accuracy=53.287037 loss=1.996046 lr=0.016843 Epoch[152] Batch [1399]/[3760] Speed: 119.555951 samples/sec accuracy=53.315848 loss=1.994820 lr=0.016833 Epoch[152] Batch [1449]/[3760] Speed: 119.052665 samples/sec accuracy=53.297414 loss=1.994878 lr=0.016824 Epoch[152] Batch [1499]/[3760] Speed: 119.331874 samples/sec accuracy=53.255208 loss=1.996833 lr=0.016814 Epoch[152] Batch [1549]/[3760] Speed: 117.015182 samples/sec accuracy=53.256048 loss=1.995092 lr=0.016805 Epoch[152] Batch [1599]/[3760] Speed: 120.069983 samples/sec accuracy=53.219727 loss=1.996476 lr=0.016795 Epoch[152] Batch [1649]/[3760] Speed: 119.890642 samples/sec accuracy=53.163826 loss=1.997434 lr=0.016785 Epoch[152] Batch [1699]/[3760] Speed: 119.838912 samples/sec accuracy=53.153493 loss=1.997953 lr=0.016776 Epoch[152] Batch [1749]/[3760] Speed: 120.153126 samples/sec accuracy=53.154464 loss=1.998685 lr=0.016766 Epoch[152] Batch [1799]/[3760] Speed: 118.699638 samples/sec accuracy=53.155382 loss=1.999330 lr=0.016756 Epoch[152] Batch [1849]/[3760] Speed: 119.527801 samples/sec accuracy=53.125000 loss=2.000604 lr=0.016747 Epoch[152] Batch [1899]/[3760] Speed: 119.849893 samples/sec accuracy=53.081414 loss=2.002743 lr=0.016737 Epoch[152] Batch [1949]/[3760] Speed: 120.427391 samples/sec accuracy=53.053686 loss=2.003789 lr=0.016727 Epoch[152] Batch [1999]/[3760] Speed: 120.081388 samples/sec accuracy=53.035156 loss=2.004684 lr=0.016718 Epoch[152] Batch [2049]/[3760] Speed: 119.883657 samples/sec accuracy=53.022866 loss=2.005217 lr=0.016708 Epoch[152] Batch [2099]/[3760] Speed: 119.332986 samples/sec accuracy=53.030506 loss=2.004470 lr=0.016699 Epoch[152] Batch [2149]/[3760] Speed: 119.145570 samples/sec accuracy=53.010901 loss=2.005951 lr=0.016689 Epoch[152] Batch [2199]/[3760] Speed: 120.282288 samples/sec accuracy=53.007102 loss=2.006413 lr=0.016679 Epoch[152] Batch [2249]/[3760] Speed: 120.549922 samples/sec accuracy=53.016667 loss=2.006033 lr=0.016670 Epoch[152] Batch [2299]/[3760] Speed: 119.445529 samples/sec accuracy=52.994565 loss=2.006723 lr=0.016660 Epoch[152] Batch [2349]/[3760] Speed: 119.930728 samples/sec accuracy=52.987367 loss=2.006662 lr=0.016650 Epoch[152] Batch [2399]/[3760] Speed: 119.354436 samples/sec accuracy=52.966146 loss=2.007766 lr=0.016641 Epoch[152] Batch [2449]/[3760] Speed: 119.802983 samples/sec accuracy=52.957908 loss=2.007842 lr=0.016631 Epoch[152] Batch [2499]/[3760] Speed: 119.841970 samples/sec accuracy=52.942500 loss=2.008916 lr=0.016622 Epoch[152] Batch [2549]/[3760] Speed: 119.542921 samples/sec accuracy=52.917892 loss=2.010589 lr=0.016612 Epoch[152] Batch [2599]/[3760] Speed: 119.753523 samples/sec accuracy=52.925481 loss=2.010104 lr=0.016602 Epoch[152] Batch [2649]/[3760] Speed: 119.639071 samples/sec accuracy=52.926887 loss=2.010047 lr=0.016593 Epoch[152] Batch [2699]/[3760] Speed: 119.392719 samples/sec accuracy=52.928241 loss=2.010586 lr=0.016583 Epoch[152] Batch [2749]/[3760] Speed: 120.050692 samples/sec accuracy=52.915341 loss=2.011326 lr=0.016574 Epoch[152] Batch [2799]/[3760] Speed: 117.703807 samples/sec accuracy=52.905134 loss=2.011555 lr=0.016564 Epoch[152] Batch [2849]/[3760] Speed: 119.787965 samples/sec accuracy=52.871711 loss=2.012617 lr=0.016554 Epoch[152] Batch [2899]/[3760] Speed: 120.227636 samples/sec accuracy=52.891703 loss=2.012200 lr=0.016545 Epoch[152] Batch [2949]/[3760] Speed: 120.066909 samples/sec accuracy=52.869703 loss=2.013931 lr=0.016535 Epoch[152] Batch [2999]/[3760] Speed: 119.532658 samples/sec accuracy=52.847917 loss=2.014520 lr=0.016526 Epoch[152] Batch [3049]/[3760] Speed: 119.049521 samples/sec accuracy=52.817623 loss=2.015871 lr=0.016516 Epoch[152] Batch [3099]/[3760] Speed: 119.802082 samples/sec accuracy=52.792843 loss=2.017174 lr=0.016507 Epoch[152] Batch [3149]/[3760] Speed: 119.554218 samples/sec accuracy=52.787202 loss=2.017159 lr=0.016497 Epoch[152] Batch [3199]/[3760] Speed: 119.166024 samples/sec accuracy=52.777344 loss=2.017883 lr=0.016487 Epoch[152] Batch [3249]/[3760] Speed: 119.289911 samples/sec accuracy=52.796154 loss=2.017549 lr=0.016478 Epoch[152] Batch [3299]/[3760] Speed: 119.188351 samples/sec accuracy=52.783144 loss=2.018531 lr=0.016468 Epoch[152] Batch [3349]/[3760] Speed: 119.287227 samples/sec accuracy=52.776586 loss=2.018479 lr=0.016459 Epoch[152] Batch [3399]/[3760] Speed: 119.021081 samples/sec accuracy=52.782169 loss=2.018499 lr=0.016449 Epoch[152] Batch [3449]/[3760] Speed: 119.492849 samples/sec accuracy=52.784420 loss=2.018236 lr=0.016440 Epoch[152] Batch [3499]/[3760] Speed: 119.837627 samples/sec accuracy=52.779911 loss=2.018360 lr=0.016430 Epoch[152] Batch [3549]/[3760] Speed: 119.441464 samples/sec accuracy=52.797095 loss=2.017795 lr=0.016420 Epoch[152] Batch [3599]/[3760] Speed: 119.829559 samples/sec accuracy=52.784722 loss=2.018103 lr=0.016411 Epoch[152] Batch [3649]/[3760] Speed: 119.272406 samples/sec accuracy=52.785959 loss=2.018229 lr=0.016401 Epoch[152] Batch [3699]/[3760] Speed: 119.782235 samples/sec accuracy=52.775338 loss=2.017879 lr=0.016392 Epoch[152] Batch [3749]/[3760] Speed: 122.812841 samples/sec accuracy=52.772083 loss=2.018123 lr=0.016382 Batch [0049]/[0303]: acc-top1=52.218750 acc-top5=76.312500 Batch [0099]/[0303]: acc-top1=49.984375 acc-top5=75.125000 Batch [0149]/[0303]: acc-top1=52.083333 acc-top5=76.260417 Batch [0199]/[0303]: acc-top1=54.632813 acc-top5=77.890625 Batch [0249]/[0303]: acc-top1=53.481250 acc-top5=77.450000 Batch [0299]/[0303]: acc-top1=53.072917 acc-top5=77.619792 [Epoch 152] training: accuracy=52.768035 loss=2.018168 [Epoch 152] speed: 118 samples/sec time cost: 2140.196257 [Epoch 152] validation: acc-top1=53.052805 acc-top5=77.645421 loss=2.193975 Epoch[153] Batch [0049]/[3760] Speed: 86.904085 samples/sec accuracy=53.531250 loss=1.967564 lr=0.016371 Epoch[153] Batch [0099]/[3760] Speed: 118.677988 samples/sec accuracy=53.859375 loss=1.968350 lr=0.016361 Epoch[153] Batch [0149]/[3760] Speed: 119.024210 samples/sec accuracy=53.979167 loss=1.956397 lr=0.016352 Epoch[153] Batch [0199]/[3760] Speed: 119.929527 samples/sec accuracy=54.015625 loss=1.946822 lr=0.016342 Epoch[153] Batch [0249]/[3760] Speed: 119.835857 samples/sec accuracy=54.150000 loss=1.943936 lr=0.016333 Epoch[153] Batch [0299]/[3760] Speed: 119.084177 samples/sec accuracy=53.963542 loss=1.951011 lr=0.016323 Epoch[153] Batch [0349]/[3760] Speed: 118.247165 samples/sec accuracy=54.004464 loss=1.950890 lr=0.016314 Epoch[153] Batch [0399]/[3760] Speed: 119.574049 samples/sec accuracy=54.054688 loss=1.956109 lr=0.016304 Epoch[153] Batch [0449]/[3760] 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accuracy=53.864583 loss=1.963627 lr=0.016209 Epoch[153] Batch [0949]/[3760] Speed: 118.746713 samples/sec accuracy=53.810855 loss=1.966915 lr=0.016199 Epoch[153] Batch [0999]/[3760] Speed: 119.786652 samples/sec accuracy=53.829687 loss=1.966824 lr=0.016190 Epoch[153] Batch [1049]/[3760] Speed: 120.102123 samples/sec accuracy=53.766369 loss=1.968915 lr=0.016180 Epoch[153] Batch [1099]/[3760] Speed: 119.015775 samples/sec accuracy=53.747159 loss=1.970921 lr=0.016171 Epoch[153] Batch [1149]/[3760] Speed: 119.817648 samples/sec accuracy=53.745924 loss=1.970661 lr=0.016161 Epoch[153] Batch [1199]/[3760] Speed: 119.565503 samples/sec accuracy=53.759115 loss=1.970913 lr=0.016152 Epoch[153] Batch [1249]/[3760] Speed: 119.410782 samples/sec accuracy=53.696250 loss=1.973711 lr=0.016142 Epoch[153] Batch [1299]/[3760] Speed: 119.583601 samples/sec accuracy=53.681490 loss=1.975383 lr=0.016133 Epoch[153] Batch [1349]/[3760] Speed: 119.032008 samples/sec accuracy=53.679398 loss=1.975597 lr=0.016123 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loss=1.984113 lr=0.015944 Epoch[153] Batch [2349]/[3760] Speed: 118.990424 samples/sec accuracy=53.342420 loss=1.984029 lr=0.015934 Epoch[153] Batch [2399]/[3760] Speed: 119.662652 samples/sec accuracy=53.322266 loss=1.984494 lr=0.015925 Epoch[153] Batch [2449]/[3760] Speed: 119.713328 samples/sec accuracy=53.334821 loss=1.984006 lr=0.015915 Epoch[153] Batch [2499]/[3760] Speed: 119.847071 samples/sec accuracy=53.315625 loss=1.984256 lr=0.015906 Epoch[153] Batch [2549]/[3760] Speed: 119.714192 samples/sec accuracy=53.278186 loss=1.984935 lr=0.015896 Epoch[153] Batch [2599]/[3760] Speed: 118.846093 samples/sec accuracy=53.313101 loss=1.984409 lr=0.015887 Epoch[153] Batch [2649]/[3760] Speed: 119.448963 samples/sec accuracy=53.316038 loss=1.984745 lr=0.015878 Epoch[153] Batch [2699]/[3760] Speed: 119.534000 samples/sec accuracy=53.326968 loss=1.984598 lr=0.015868 Epoch[153] Batch [2749]/[3760] Speed: 120.096673 samples/sec accuracy=53.320455 loss=1.984086 lr=0.015859 Epoch[153] Batch 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accuracy=53.285577 loss=1.986947 lr=0.015765 Epoch[153] Batch [3299]/[3760] Speed: 119.511075 samples/sec accuracy=53.268939 loss=1.988018 lr=0.015755 Epoch[153] Batch [3349]/[3760] Speed: 120.163856 samples/sec accuracy=53.263993 loss=1.988879 lr=0.015746 Epoch[153] Batch [3399]/[3760] Speed: 119.945085 samples/sec accuracy=53.262868 loss=1.988809 lr=0.015736 Epoch[153] Batch [3449]/[3760] Speed: 119.834538 samples/sec accuracy=53.249547 loss=1.989704 lr=0.015727 Epoch[153] Batch [3499]/[3760] Speed: 120.108561 samples/sec accuracy=53.239286 loss=1.989860 lr=0.015718 Epoch[153] Batch [3549]/[3760] Speed: 119.770156 samples/sec accuracy=53.233715 loss=1.989753 lr=0.015708 Epoch[153] Batch [3599]/[3760] Speed: 119.335220 samples/sec accuracy=53.235677 loss=1.989301 lr=0.015699 Epoch[153] Batch [3649]/[3760] Speed: 119.907822 samples/sec accuracy=53.252568 loss=1.989254 lr=0.015689 Epoch[153] Batch [3699]/[3760] Speed: 119.691435 samples/sec accuracy=53.248733 loss=1.989717 lr=0.015680 Epoch[153] Batch [3749]/[3760] Speed: 123.447162 samples/sec accuracy=53.245417 loss=1.990389 lr=0.015671 Batch [0049]/[0303]: acc-top1=52.406250 acc-top5=76.031250 Batch [0099]/[0303]: acc-top1=49.890625 acc-top5=75.296875 Batch [0149]/[0303]: acc-top1=51.541667 acc-top5=75.989583 Batch [0199]/[0303]: acc-top1=55.015625 acc-top5=77.945312 Batch [0249]/[0303]: acc-top1=54.381250 acc-top5=77.762500 Batch [0299]/[0303]: acc-top1=53.567708 acc-top5=77.942708 [Epoch 153] training: accuracy=53.241356 loss=1.990633 [Epoch 153] speed: 118 samples/sec time cost: 2139.272662 [Epoch 153] validation: acc-top1=53.516914 acc-top5=77.913573 loss=2.138599 Epoch[154] Batch [0049]/[3759] Speed: 87.463009 samples/sec accuracy=56.281250 loss=1.882440 lr=0.015659 Epoch[154] Batch [0099]/[3759] Speed: 118.600488 samples/sec accuracy=55.421875 loss=1.895920 lr=0.015650 Epoch[154] Batch [0149]/[3759] Speed: 119.197423 samples/sec accuracy=54.635417 loss=1.940476 lr=0.015641 Epoch[154] Batch [0199]/[3759] 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accuracy=54.264423 loss=1.948159 lr=0.015547 Epoch[154] Batch [0699]/[3759] Speed: 119.435114 samples/sec accuracy=54.223214 loss=1.949725 lr=0.015538 Epoch[154] Batch [0749]/[3759] Speed: 120.101018 samples/sec accuracy=54.193750 loss=1.952629 lr=0.015528 Epoch[154] Batch [0799]/[3759] Speed: 119.361592 samples/sec accuracy=54.179687 loss=1.951545 lr=0.015519 Epoch[154] Batch [0849]/[3759] Speed: 119.181091 samples/sec accuracy=54.250000 loss=1.948235 lr=0.015510 Epoch[154] Batch [0899]/[3759] Speed: 120.226182 samples/sec accuracy=54.232639 loss=1.949829 lr=0.015500 Epoch[154] Batch [0949]/[3759] Speed: 118.850794 samples/sec accuracy=54.215461 loss=1.948928 lr=0.015491 Epoch[154] Batch [0999]/[3759] Speed: 119.379780 samples/sec accuracy=54.201563 loss=1.950687 lr=0.015482 Epoch[154] Batch [1049]/[3759] Speed: 119.836365 samples/sec accuracy=54.193452 loss=1.951365 lr=0.015472 Epoch[154] Batch [1099]/[3759] Speed: 119.339054 samples/sec accuracy=54.137784 loss=1.955121 lr=0.015463 Epoch[154] Batch [1149]/[3759] Speed: 119.220696 samples/sec accuracy=54.130435 loss=1.954048 lr=0.015454 Epoch[154] Batch [1199]/[3759] Speed: 120.380364 samples/sec accuracy=54.074219 loss=1.957724 lr=0.015444 Epoch[154] Batch [1249]/[3759] Speed: 119.304266 samples/sec accuracy=54.088750 loss=1.957968 lr=0.015435 Epoch[154] Batch [1299]/[3759] Speed: 119.558403 samples/sec accuracy=54.100962 loss=1.956729 lr=0.015426 Epoch[154] Batch [1349]/[3759] Speed: 120.429322 samples/sec accuracy=54.142361 loss=1.954693 lr=0.015417 Epoch[154] Batch [1399]/[3759] Speed: 120.131342 samples/sec accuracy=54.148438 loss=1.954298 lr=0.015407 Epoch[154] Batch [1449]/[3759] Speed: 119.930956 samples/sec accuracy=54.142241 loss=1.955612 lr=0.015398 Epoch[154] Batch [1499]/[3759] Speed: 119.748123 samples/sec accuracy=54.156250 loss=1.955847 lr=0.015389 Epoch[154] Batch [1549]/[3759] Speed: 119.391546 samples/sec accuracy=54.130040 loss=1.955524 lr=0.015379 Epoch[154] Batch [1599]/[3759] Speed: 119.222157 samples/sec accuracy=54.151367 loss=1.956476 lr=0.015370 Epoch[154] Batch [1649]/[3759] Speed: 119.355333 samples/sec accuracy=54.120265 loss=1.957652 lr=0.015361 Epoch[154] Batch [1699]/[3759] Speed: 119.481303 samples/sec accuracy=54.015625 loss=1.961217 lr=0.015351 Epoch[154] Batch [1749]/[3759] Speed: 119.386743 samples/sec accuracy=54.000893 loss=1.962268 lr=0.015342 Epoch[154] Batch [1799]/[3759] Speed: 120.205719 samples/sec accuracy=53.996528 loss=1.962549 lr=0.015333 Epoch[154] Batch [1849]/[3759] Speed: 117.613629 samples/sec accuracy=54.000000 loss=1.962756 lr=0.015323 Epoch[154] Batch [1899]/[3759] Speed: 119.283717 samples/sec accuracy=53.970395 loss=1.963492 lr=0.015314 Epoch[154] Batch [1949]/[3759] Speed: 119.704825 samples/sec accuracy=53.982372 loss=1.962812 lr=0.015305 Epoch[154] Batch [1999]/[3759] Speed: 119.741908 samples/sec accuracy=53.962500 loss=1.963692 lr=0.015296 Epoch[154] Batch [2049]/[3759] Speed: 118.712033 samples/sec accuracy=53.956555 loss=1.965091 lr=0.015286 Epoch[154] Batch [2099]/[3759] Speed: 119.736074 samples/sec accuracy=53.924851 loss=1.966322 lr=0.015277 Epoch[154] Batch [2149]/[3759] Speed: 119.672858 samples/sec accuracy=53.937500 loss=1.966374 lr=0.015268 Epoch[154] Batch [2199]/[3759] Speed: 119.306507 samples/sec accuracy=53.906960 loss=1.967541 lr=0.015258 Epoch[154] Batch [2249]/[3759] Speed: 119.942016 samples/sec accuracy=53.865972 loss=1.968884 lr=0.015249 Epoch[154] Batch [2299]/[3759] Speed: 120.158979 samples/sec accuracy=53.835598 loss=1.969654 lr=0.015240 Epoch[154] Batch [2349]/[3759] Speed: 120.204025 samples/sec accuracy=53.842420 loss=1.969912 lr=0.015231 Epoch[154] Batch [2399]/[3759] Speed: 119.173769 samples/sec accuracy=53.801432 loss=1.970353 lr=0.015221 Epoch[154] Batch [2449]/[3759] Speed: 119.295424 samples/sec accuracy=53.776148 loss=1.971380 lr=0.015212 Epoch[154] Batch [2499]/[3759] Speed: 119.114352 samples/sec accuracy=53.757500 loss=1.972251 lr=0.015203 Epoch[154] Batch 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accuracy=53.665104 loss=1.976768 lr=0.015110 Epoch[154] Batch [3049]/[3759] Speed: 119.892628 samples/sec accuracy=53.647541 loss=1.976706 lr=0.015101 Epoch[154] Batch [3099]/[3759] Speed: 120.116345 samples/sec accuracy=53.649698 loss=1.976613 lr=0.015092 Epoch[154] Batch [3149]/[3759] Speed: 119.465636 samples/sec accuracy=53.638393 loss=1.977097 lr=0.015083 Epoch[154] Batch [3199]/[3759] Speed: 119.922502 samples/sec accuracy=53.633789 loss=1.977818 lr=0.015073 Epoch[154] Batch [3249]/[3759] Speed: 117.959829 samples/sec accuracy=53.648077 loss=1.977946 lr=0.015064 Epoch[154] Batch [3299]/[3759] Speed: 119.082283 samples/sec accuracy=53.657197 loss=1.977149 lr=0.015055 Epoch[154] Batch [3349]/[3759] Speed: 119.081308 samples/sec accuracy=53.669310 loss=1.976225 lr=0.015046 Epoch[154] Batch [3399]/[3759] Speed: 119.292249 samples/sec accuracy=53.663143 loss=1.976860 lr=0.015037 Epoch[154] Batch [3449]/[3759] Speed: 119.135784 samples/sec accuracy=53.674819 loss=1.976545 lr=0.015027 Epoch[154] Batch [3499]/[3759] Speed: 119.801809 samples/sec accuracy=53.670089 loss=1.976782 lr=0.015018 Epoch[154] Batch [3549]/[3759] Speed: 119.349122 samples/sec accuracy=53.645687 loss=1.977438 lr=0.015009 Epoch[154] Batch [3599]/[3759] Speed: 119.894788 samples/sec accuracy=53.624132 loss=1.977738 lr=0.015000 Epoch[154] Batch [3649]/[3759] Speed: 118.765728 samples/sec accuracy=53.622432 loss=1.977389 lr=0.014990 Epoch[154] Batch [3699]/[3759] Speed: 119.320511 samples/sec accuracy=53.633446 loss=1.977014 lr=0.014981 Epoch[154] Batch [3749]/[3759] Speed: 123.955523 samples/sec accuracy=53.641250 loss=1.976745 lr=0.014972 Batch [0049]/[0303]: acc-top1=54.312500 acc-top5=78.343750 Batch [0099]/[0303]: acc-top1=50.343750 acc-top5=75.593750 Batch [0149]/[0303]: acc-top1=52.114583 acc-top5=76.416667 Batch [0199]/[0303]: acc-top1=55.031250 acc-top5=78.039062 Batch [0249]/[0303]: acc-top1=54.543750 acc-top5=77.931250 Batch [0299]/[0303]: acc-top1=53.505208 acc-top5=77.859375 [Epoch 154] training: accuracy=53.644586 loss=1.976746 [Epoch 154] speed: 118 samples/sec time cost: 2139.324206 [Epoch 154] validation: acc-top1=53.491130 acc-top5=77.882632 loss=2.174914 Epoch[155] Batch [0049]/[3760] Speed: 88.060929 samples/sec accuracy=53.687500 loss=1.921868 lr=0.014961 Epoch[155] Batch [0099]/[3760] Speed: 120.651555 samples/sec accuracy=54.468750 loss=1.919455 lr=0.014952 Epoch[155] Batch [0149]/[3760] Speed: 119.371111 samples/sec accuracy=54.020833 loss=1.939272 lr=0.014943 Epoch[155] Batch [0199]/[3760] Speed: 120.170787 samples/sec accuracy=54.304688 loss=1.929773 lr=0.014934 Epoch[155] Batch [0249]/[3760] Speed: 119.042332 samples/sec accuracy=54.281250 loss=1.933559 lr=0.014924 Epoch[155] Batch [0299]/[3760] Speed: 120.352049 samples/sec accuracy=54.145833 loss=1.938031 lr=0.014915 Epoch[155] Batch [0349]/[3760] Speed: 119.303227 samples/sec accuracy=54.232143 loss=1.937533 lr=0.014906 Epoch[155] Batch [0399]/[3760] Speed: 118.970008 samples/sec accuracy=54.367188 loss=1.936120 lr=0.014897 Epoch[155] Batch [0449]/[3760] Speed: 119.533352 samples/sec accuracy=54.319444 loss=1.938075 lr=0.014888 Epoch[155] Batch [0499]/[3760] Speed: 119.483577 samples/sec accuracy=54.300000 loss=1.942448 lr=0.014878 Epoch[155] Batch [0549]/[3760] Speed: 119.618741 samples/sec accuracy=54.321023 loss=1.941369 lr=0.014869 Epoch[155] Batch [0599]/[3760] Speed: 120.725331 samples/sec accuracy=54.304688 loss=1.943477 lr=0.014860 Epoch[155] Batch [0649]/[3760] Speed: 119.902831 samples/sec accuracy=54.240385 loss=1.946072 lr=0.014851 Epoch[155] Batch [0699]/[3760] Speed: 119.205283 samples/sec accuracy=54.325893 loss=1.945079 lr=0.014842 Epoch[155] Batch [0749]/[3760] Speed: 119.478815 samples/sec accuracy=54.343750 loss=1.942282 lr=0.014833 Epoch[155] Batch [0799]/[3760] Speed: 117.157912 samples/sec accuracy=54.378906 loss=1.940865 lr=0.014823 Epoch[155] Batch [0849]/[3760] Speed: 119.674983 samples/sec accuracy=54.472426 loss=1.938967 lr=0.014814 Epoch[155] Batch [0899]/[3760] Speed: 119.634162 samples/sec accuracy=54.421875 loss=1.940269 lr=0.014805 Epoch[155] Batch [0949]/[3760] Speed: 119.394327 samples/sec accuracy=54.462171 loss=1.939590 lr=0.014796 Epoch[155] Batch [0999]/[3760] Speed: 118.878877 samples/sec accuracy=54.512500 loss=1.938100 lr=0.014787 Epoch[155] Batch [1049]/[3760] Speed: 120.074970 samples/sec accuracy=54.440476 loss=1.940098 lr=0.014778 Epoch[155] Batch [1099]/[3760] Speed: 119.926869 samples/sec accuracy=54.399148 loss=1.941672 lr=0.014768 Epoch[155] Batch [1149]/[3760] Speed: 119.512553 samples/sec accuracy=54.433424 loss=1.941014 lr=0.014759 Epoch[155] Batch [1199]/[3760] Speed: 119.960677 samples/sec accuracy=54.459635 loss=1.939578 lr=0.014750 Epoch[155] Batch [1249]/[3760] Speed: 119.631170 samples/sec accuracy=54.425000 loss=1.939152 lr=0.014741 Epoch[155] Batch [1299]/[3760] Speed: 119.527276 samples/sec accuracy=54.451923 loss=1.938029 lr=0.014732 Epoch[155] Batch [1349]/[3760] Speed: 118.850437 samples/sec accuracy=54.422454 loss=1.937917 lr=0.014723 Epoch[155] Batch [1399]/[3760] Speed: 119.249733 samples/sec accuracy=54.399554 loss=1.939144 lr=0.014714 Epoch[155] Batch [1449]/[3760] Speed: 119.372651 samples/sec accuracy=54.372845 loss=1.941767 lr=0.014704 Epoch[155] Batch [1499]/[3760] Speed: 118.719701 samples/sec accuracy=54.312500 loss=1.943830 lr=0.014695 Epoch[155] Batch [1549]/[3760] Speed: 119.743179 samples/sec accuracy=54.337702 loss=1.942467 lr=0.014686 Epoch[155] Batch [1599]/[3760] Speed: 119.040894 samples/sec accuracy=54.300781 loss=1.943547 lr=0.014677 Epoch[155] Batch [1649]/[3760] Speed: 118.948737 samples/sec accuracy=54.280303 loss=1.944277 lr=0.014668 Epoch[155] Batch [1699]/[3760] Speed: 119.186262 samples/sec accuracy=54.266544 loss=1.944097 lr=0.014659 Epoch[155] Batch [1749]/[3760] Speed: 119.601190 samples/sec accuracy=54.239286 loss=1.944929 lr=0.014650 Epoch[155] Batch [1799]/[3760] Speed: 119.145210 samples/sec accuracy=54.203993 loss=1.947211 lr=0.014641 Epoch[155] Batch [1849]/[3760] Speed: 119.617122 samples/sec accuracy=54.178209 loss=1.948522 lr=0.014631 Epoch[155] Batch [1899]/[3760] Speed: 120.358466 samples/sec accuracy=54.172697 loss=1.948674 lr=0.014622 Epoch[155] Batch [1949]/[3760] Speed: 119.689417 samples/sec accuracy=54.174679 loss=1.948882 lr=0.014613 Epoch[155] Batch [1999]/[3760] Speed: 119.091151 samples/sec accuracy=54.167188 loss=1.949568 lr=0.014604 Epoch[155] Batch [2049]/[3760] Speed: 119.194910 samples/sec accuracy=54.195884 loss=1.949963 lr=0.014595 Epoch[155] Batch [2099]/[3760] Speed: 117.676789 samples/sec accuracy=54.158482 loss=1.951081 lr=0.014586 Epoch[155] Batch [2149]/[3760] Speed: 119.327196 samples/sec accuracy=54.136628 loss=1.951730 lr=0.014577 Epoch[155] Batch [2199]/[3760] Speed: 119.555007 samples/sec accuracy=54.127131 loss=1.951473 lr=0.014568 Epoch[155] Batch [2249]/[3760] Speed: 119.604690 samples/sec accuracy=54.150000 loss=1.950753 lr=0.014559 Epoch[155] Batch [2299]/[3760] Speed: 119.856762 samples/sec accuracy=54.120245 loss=1.952778 lr=0.014550 Epoch[155] Batch [2349]/[3760] Speed: 119.390651 samples/sec accuracy=54.141622 loss=1.951726 lr=0.014540 Epoch[155] Batch [2399]/[3760] Speed: 119.862033 samples/sec accuracy=54.126953 loss=1.952100 lr=0.014531 Epoch[155] Batch [2449]/[3760] Speed: 119.417880 samples/sec accuracy=54.154337 loss=1.951239 lr=0.014522 Epoch[155] Batch [2499]/[3760] Speed: 119.208217 samples/sec accuracy=54.196875 loss=1.949183 lr=0.014513 Epoch[155] Batch [2549]/[3760] Speed: 119.331642 samples/sec accuracy=54.205270 loss=1.948428 lr=0.014504 Epoch[155] Batch [2599]/[3760] Speed: 119.659803 samples/sec accuracy=54.188101 loss=1.949368 lr=0.014495 Epoch[155] Batch [2649]/[3760] Speed: 119.920676 samples/sec accuracy=54.183962 loss=1.950031 lr=0.014486 Epoch[155] Batch [2699]/[3760] Speed: 119.998924 samples/sec accuracy=54.185764 loss=1.949895 lr=0.014477 Epoch[155] Batch [2749]/[3760] Speed: 119.688728 samples/sec accuracy=54.168750 loss=1.950330 lr=0.014468 Epoch[155] Batch [2799]/[3760] Speed: 119.185218 samples/sec accuracy=54.176897 loss=1.950864 lr=0.014459 Epoch[155] Batch [2849]/[3760] Speed: 119.560622 samples/sec accuracy=54.183114 loss=1.949890 lr=0.014450 Epoch[155] Batch [2899]/[3760] Speed: 119.398157 samples/sec accuracy=54.156250 loss=1.950977 lr=0.014441 Epoch[155] Batch [2949]/[3760] Speed: 119.740206 samples/sec accuracy=54.157839 loss=1.951100 lr=0.014431 Epoch[155] Batch [2999]/[3760] Speed: 119.887463 samples/sec accuracy=54.163021 loss=1.951360 lr=0.014422 Epoch[155] Batch [3049]/[3760] Speed: 119.710786 samples/sec accuracy=54.166496 loss=1.951705 lr=0.014413 Epoch[155] Batch [3099]/[3760] Speed: 119.991833 samples/sec accuracy=54.154738 loss=1.952175 lr=0.014404 Epoch[155] Batch [3149]/[3760] Speed: 119.659431 samples/sec accuracy=54.160714 loss=1.951660 lr=0.014395 Epoch[155] Batch [3199]/[3760] Speed: 120.266017 samples/sec accuracy=54.157715 loss=1.951378 lr=0.014386 Epoch[155] Batch [3249]/[3760] Speed: 120.300012 samples/sec accuracy=54.160096 loss=1.951421 lr=0.014377 Epoch[155] Batch [3299]/[3760] Speed: 119.250374 samples/sec accuracy=54.112689 loss=1.953449 lr=0.014368 Epoch[155] Batch [3349]/[3760] Speed: 120.158590 samples/sec accuracy=54.108675 loss=1.953462 lr=0.014359 Epoch[155] Batch [3399]/[3760] Speed: 119.248866 samples/sec accuracy=54.098346 loss=1.953961 lr=0.014350 Epoch[155] Batch [3449]/[3760] Speed: 118.853576 samples/sec accuracy=54.106431 loss=1.953528 lr=0.014341 Epoch[155] Batch [3499]/[3760] Speed: 118.106886 samples/sec accuracy=54.125000 loss=1.953710 lr=0.014332 Epoch[155] Batch [3549]/[3760] Speed: 119.877791 samples/sec accuracy=54.114877 loss=1.954137 lr=0.014323 Epoch[155] Batch [3599]/[3760] Speed: 119.915852 samples/sec accuracy=54.089844 loss=1.955054 lr=0.014314 Epoch[155] Batch [3649]/[3760] Speed: 119.943224 samples/sec accuracy=54.110445 loss=1.954249 lr=0.014305 Epoch[155] Batch [3699]/[3760] Speed: 119.490105 samples/sec accuracy=54.107264 loss=1.954817 lr=0.014296 Epoch[155] Batch [3749]/[3760] Speed: 122.958534 samples/sec accuracy=54.108750 loss=1.955130 lr=0.014287 Batch [0049]/[0303]: acc-top1=54.156250 acc-top5=77.187500 Batch [0099]/[0303]: acc-top1=51.312500 acc-top5=75.859375 Batch [0149]/[0303]: acc-top1=53.406250 acc-top5=76.916667 Batch [0199]/[0303]: acc-top1=55.882812 acc-top5=78.515625 Batch [0249]/[0303]: acc-top1=55.100000 acc-top5=78.275000 Batch [0299]/[0303]: acc-top1=54.239583 acc-top5=78.369792 [Epoch 155] training: accuracy=54.099485 loss=1.955473 [Epoch 155] speed: 118 samples/sec time cost: 2139.901525 [Epoch 155] validation: acc-top1=54.207921 acc-top5=78.357054 loss=2.119522 Epoch[156] Batch [0049]/[3760] Speed: 87.388169 samples/sec accuracy=56.093750 loss=1.906612 lr=0.014276 Epoch[156] Batch [0099]/[3760] Speed: 120.342763 samples/sec accuracy=55.921875 loss=1.903857 lr=0.014267 Epoch[156] Batch [0149]/[3760] Speed: 119.492980 samples/sec accuracy=55.500000 loss=1.913469 lr=0.014258 Epoch[156] Batch [0199]/[3760] Speed: 120.356631 samples/sec accuracy=55.406250 loss=1.905081 lr=0.014249 Epoch[156] Batch [0249]/[3760] Speed: 119.116480 samples/sec accuracy=55.293750 loss=1.901145 lr=0.014240 Epoch[156] Batch [0299]/[3760] Speed: 119.806848 samples/sec accuracy=55.166667 loss=1.902148 lr=0.014231 Epoch[156] Batch [0349]/[3760] Speed: 120.441261 samples/sec accuracy=55.089286 loss=1.903108 lr=0.014222 Epoch[156] Batch [0399]/[3760] Speed: 119.448090 samples/sec accuracy=55.105469 loss=1.900964 lr=0.014213 Epoch[156] Batch [0449]/[3760] Speed: 119.977517 samples/sec accuracy=54.885417 loss=1.904034 lr=0.014204 Epoch[156] Batch [0499]/[3760] Speed: 119.582681 samples/sec accuracy=54.909375 loss=1.906307 lr=0.014195 Epoch[156] Batch [0549]/[3760] Speed: 119.482979 samples/sec accuracy=54.988636 loss=1.904078 lr=0.014186 Epoch[156] Batch [0599]/[3760] Speed: 118.873160 samples/sec accuracy=54.986979 loss=1.905888 lr=0.014177 Epoch[156] Batch [0649]/[3760] Speed: 120.612241 samples/sec accuracy=54.973558 loss=1.907046 lr=0.014168 Epoch[156] Batch [0699]/[3760] Speed: 119.321106 samples/sec accuracy=54.899554 loss=1.909575 lr=0.014159 Epoch[156] Batch [0749]/[3760] Speed: 119.374640 samples/sec accuracy=54.845833 loss=1.913831 lr=0.014150 Epoch[156] Batch [0799]/[3760] Speed: 118.982744 samples/sec accuracy=54.800781 loss=1.914063 lr=0.014141 Epoch[156] Batch [0849]/[3760] Speed: 119.766989 samples/sec accuracy=54.806985 loss=1.918392 lr=0.014132 Epoch[156] Batch [0899]/[3760] Speed: 119.557232 samples/sec accuracy=54.829861 loss=1.918645 lr=0.014123 Epoch[156] Batch [0949]/[3760] Speed: 120.361045 samples/sec accuracy=54.909539 loss=1.916371 lr=0.014114 Epoch[156] Batch [0999]/[3760] Speed: 117.831223 samples/sec accuracy=54.832813 loss=1.917152 lr=0.014105 Epoch[156] Batch [1049]/[3760] Speed: 118.938297 samples/sec accuracy=54.815476 loss=1.918821 lr=0.014096 Epoch[156] Batch [1099]/[3760] Speed: 119.664605 samples/sec accuracy=54.765625 loss=1.920305 lr=0.014087 Epoch[156] Batch [1149]/[3760] Speed: 119.266911 samples/sec accuracy=54.718750 loss=1.921492 lr=0.014078 Epoch[156] Batch [1199]/[3760] Speed: 119.646433 samples/sec accuracy=54.621094 loss=1.924922 lr=0.014069 Epoch[156] Batch [1249]/[3760] Speed: 119.734900 samples/sec accuracy=54.561250 loss=1.927696 lr=0.014060 Epoch[156] Batch [1299]/[3760] Speed: 119.540965 samples/sec accuracy=54.532452 loss=1.928821 lr=0.014051 Epoch[156] Batch [1349]/[3760] Speed: 120.044320 samples/sec accuracy=54.559028 loss=1.928431 lr=0.014042 Epoch[156] Batch [1399]/[3760] Speed: 120.397723 samples/sec accuracy=54.551339 loss=1.928104 lr=0.014033 Epoch[156] Batch [1449]/[3760] Speed: 119.575164 samples/sec accuracy=54.585129 loss=1.928468 lr=0.014024 Epoch[156] Batch [1499]/[3760] Speed: 119.886539 samples/sec accuracy=54.559375 loss=1.929043 lr=0.014015 Epoch[156] Batch [1549]/[3760] Speed: 119.700953 samples/sec accuracy=54.610887 loss=1.927595 lr=0.014006 Epoch[156] Batch [1599]/[3760] Speed: 119.977378 samples/sec accuracy=54.562500 loss=1.929928 lr=0.013997 Epoch[156] Batch [1649]/[3760] Speed: 120.239144 samples/sec accuracy=54.535985 loss=1.931244 lr=0.013988 Epoch[156] Batch [1699]/[3760] Speed: 119.150231 samples/sec accuracy=54.535846 loss=1.932767 lr=0.013979 Epoch[156] Batch [1749]/[3760] Speed: 119.782606 samples/sec accuracy=54.552679 loss=1.932094 lr=0.013971 Epoch[156] Batch [1799]/[3760] Speed: 119.487136 samples/sec accuracy=54.532118 loss=1.931746 lr=0.013962 Epoch[156] Batch [1849]/[3760] Speed: 120.177654 samples/sec accuracy=54.523649 loss=1.931724 lr=0.013953 Epoch[156] Batch [1899]/[3760] Speed: 119.255963 samples/sec accuracy=54.546875 loss=1.931343 lr=0.013944 Epoch[156] Batch [1949]/[3760] Speed: 119.374568 samples/sec accuracy=54.508013 loss=1.932936 lr=0.013935 Epoch[156] Batch [1999]/[3760] Speed: 119.617194 samples/sec accuracy=54.526562 loss=1.932431 lr=0.013926 Epoch[156] Batch [2049]/[3760] Speed: 119.350743 samples/sec accuracy=54.502287 loss=1.932361 lr=0.013917 Epoch[156] Batch [2099]/[3760] Speed: 119.754831 samples/sec accuracy=54.506696 loss=1.932077 lr=0.013908 Epoch[156] Batch [2149]/[3760] Speed: 119.507940 samples/sec accuracy=54.464390 loss=1.933108 lr=0.013899 Epoch[156] Batch [2199]/[3760] Speed: 119.935118 samples/sec accuracy=54.475142 loss=1.932788 lr=0.013890 Epoch[156] Batch [2249]/[3760] Speed: 119.360115 samples/sec accuracy=54.461111 loss=1.933682 lr=0.013881 Epoch[156] Batch [2299]/[3760] Speed: 119.360634 samples/sec accuracy=54.427989 loss=1.934521 lr=0.013872 Epoch[156] Batch [2349]/[3760] Speed: 119.590596 samples/sec accuracy=54.464761 loss=1.933040 lr=0.013863 Epoch[156] Batch [2399]/[3760] Speed: 117.015563 samples/sec accuracy=54.486328 loss=1.932845 lr=0.013854 Epoch[156] Batch [2449]/[3760] Speed: 119.275571 samples/sec accuracy=54.456633 loss=1.933981 lr=0.013846 Epoch[156] Batch [2499]/[3760] Speed: 120.044409 samples/sec accuracy=54.443125 loss=1.935186 lr=0.013837 Epoch[156] Batch [2549]/[3760] Speed: 119.907286 samples/sec accuracy=54.448529 loss=1.935089 lr=0.013828 Epoch[156] Batch [2599]/[3760] Speed: 119.939249 samples/sec accuracy=54.470553 loss=1.934529 lr=0.013819 Epoch[156] Batch [2649]/[3760] Speed: 119.161845 samples/sec accuracy=54.474057 loss=1.934661 lr=0.013810 Epoch[156] Batch [2699]/[3760] Speed: 119.649543 samples/sec accuracy=54.460648 loss=1.935040 lr=0.013801 Epoch[156] Batch [2749]/[3760] Speed: 119.624422 samples/sec accuracy=54.473864 loss=1.934964 lr=0.013792 Epoch[156] Batch [2799]/[3760] Speed: 119.328534 samples/sec accuracy=54.477679 loss=1.934693 lr=0.013783 Epoch[156] Batch [2849]/[3760] Speed: 119.648148 samples/sec accuracy=54.470395 loss=1.934770 lr=0.013774 Epoch[156] Batch [2899]/[3760] Speed: 119.846224 samples/sec accuracy=54.466056 loss=1.935441 lr=0.013765 Epoch[156] Batch [2949]/[3760] Speed: 120.253993 samples/sec accuracy=54.449153 loss=1.935558 lr=0.013757 Epoch[156] Batch [2999]/[3760] Speed: 120.309900 samples/sec accuracy=54.439583 loss=1.935803 lr=0.013748 Epoch[156] Batch [3049]/[3760] Speed: 119.743168 samples/sec accuracy=54.446721 loss=1.935108 lr=0.013739 Epoch[156] Batch [3099]/[3760] Speed: 119.811840 samples/sec accuracy=54.439516 loss=1.935017 lr=0.013730 Epoch[156] Batch [3149]/[3760] Speed: 119.633304 samples/sec accuracy=54.426587 loss=1.935569 lr=0.013721 Epoch[156] Batch [3199]/[3760] Speed: 119.855316 samples/sec accuracy=54.438965 loss=1.935148 lr=0.013712 Epoch[156] Batch [3249]/[3760] Speed: 120.367603 samples/sec accuracy=54.434135 loss=1.935008 lr=0.013703 Epoch[156] Batch [3299]/[3760] Speed: 119.419278 samples/sec accuracy=54.434659 loss=1.934949 lr=0.013694 Epoch[156] Batch [3349]/[3760] Speed: 119.703751 samples/sec accuracy=54.422108 loss=1.935439 lr=0.013686 Epoch[156] Batch [3399]/[3760] Speed: 119.893051 samples/sec accuracy=54.426011 loss=1.935246 lr=0.013677 Epoch[156] Batch [3449]/[3760] Speed: 119.387986 samples/sec accuracy=54.418931 loss=1.935804 lr=0.013668 Epoch[156] Batch [3499]/[3760] Speed: 119.804651 samples/sec accuracy=54.409821 loss=1.936034 lr=0.013659 Epoch[156] Batch [3549]/[3760] Speed: 120.465219 samples/sec accuracy=54.408451 loss=1.936030 lr=0.013650 Epoch[156] Batch [3599]/[3760] Speed: 120.037896 samples/sec accuracy=54.395833 loss=1.936412 lr=0.013641 Epoch[156] Batch [3649]/[3760] Speed: 119.703927 samples/sec accuracy=54.419949 loss=1.935677 lr=0.013632 Epoch[156] Batch [3699]/[3760] Speed: 117.968258 samples/sec accuracy=54.421030 loss=1.935935 lr=0.013624 Epoch[156] Batch [3749]/[3760] Speed: 123.081032 samples/sec accuracy=54.422917 loss=1.935799 lr=0.013615 Batch [0049]/[0303]: acc-top1=53.625000 acc-top5=77.906250 Batch [0099]/[0303]: acc-top1=52.484375 acc-top5=77.109375 Batch [0149]/[0303]: acc-top1=53.864583 acc-top5=77.802083 Batch [0199]/[0303]: acc-top1=56.296875 acc-top5=79.375000 Batch [0249]/[0303]: acc-top1=55.950000 acc-top5=79.231250 Batch [0299]/[0303]: acc-top1=55.140625 acc-top5=79.208333 [Epoch 156] training: accuracy=54.432347 loss=1.935761 [Epoch 156] speed: 119 samples/sec time cost: 2138.121566 [Epoch 156] validation: acc-top1=55.141295 acc-top5=79.259488 loss=2.047812 Epoch[157] Batch [0049]/[3759] Speed: 87.444642 samples/sec accuracy=55.000000 loss=1.877297 lr=0.013604 Epoch[157] Batch [0099]/[3759] Speed: 120.193657 samples/sec accuracy=55.359375 loss=1.871219 lr=0.013595 Epoch[157] Batch [0149]/[3759] Speed: 120.278432 samples/sec accuracy=55.489583 loss=1.867260 lr=0.013586 Epoch[157] Batch [0199]/[3759] Speed: 120.374103 samples/sec accuracy=55.187500 loss=1.875069 lr=0.013578 Epoch[157] Batch [0249]/[3759] Speed: 120.088363 samples/sec accuracy=55.256250 loss=1.883039 lr=0.013569 Epoch[157] Batch [0299]/[3759] Speed: 119.679621 samples/sec accuracy=55.276042 loss=1.884869 lr=0.013560 Epoch[157] Batch [0349]/[3759] Speed: 120.225777 samples/sec accuracy=55.392857 loss=1.881173 lr=0.013551 Epoch[157] 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samples/sec accuracy=54.987132 loss=1.891566 lr=0.013463 Epoch[157] Batch [0899]/[3759] Speed: 119.560942 samples/sec accuracy=55.045139 loss=1.891842 lr=0.013454 Epoch[157] Batch [0949]/[3759] Speed: 119.986338 samples/sec accuracy=55.039474 loss=1.895008 lr=0.013445 Epoch[157] Batch [0999]/[3759] Speed: 119.975314 samples/sec accuracy=55.107812 loss=1.894834 lr=0.013437 Epoch[157] Batch [1049]/[3759] Speed: 119.574300 samples/sec accuracy=55.142857 loss=1.896286 lr=0.013428 Epoch[157] Batch [1099]/[3759] Speed: 119.563325 samples/sec accuracy=55.115057 loss=1.897133 lr=0.013419 Epoch[157] Batch [1149]/[3759] Speed: 119.405279 samples/sec accuracy=55.160326 loss=1.896213 lr=0.013410 Epoch[157] Batch [1199]/[3759] Speed: 119.907844 samples/sec accuracy=55.208333 loss=1.895854 lr=0.013401 Epoch[157] Batch [1249]/[3759] Speed: 118.737123 samples/sec accuracy=55.237500 loss=1.893740 lr=0.013393 Epoch[157] Batch [1299]/[3759] Speed: 119.153242 samples/sec accuracy=55.251202 loss=1.893264 lr=0.013384 Epoch[157] Batch [1349]/[3759] Speed: 117.533005 samples/sec accuracy=55.215278 loss=1.893213 lr=0.013375 Epoch[157] Batch [1399]/[3759] Speed: 118.981220 samples/sec accuracy=55.184152 loss=1.895010 lr=0.013366 Epoch[157] Batch [1449]/[3759] Speed: 120.102967 samples/sec accuracy=55.211207 loss=1.894058 lr=0.013357 Epoch[157] Batch [1499]/[3759] Speed: 119.189361 samples/sec accuracy=55.189583 loss=1.894181 lr=0.013349 Epoch[157] Batch [1549]/[3759] Speed: 119.744547 samples/sec accuracy=55.227823 loss=1.892358 lr=0.013340 Epoch[157] Batch [1599]/[3759] Speed: 119.862894 samples/sec accuracy=55.225586 loss=1.893450 lr=0.013331 Epoch[157] Batch [1649]/[3759] Speed: 119.847383 samples/sec accuracy=55.191288 loss=1.894301 lr=0.013322 Epoch[157] Batch [1699]/[3759] Speed: 120.162277 samples/sec accuracy=55.177390 loss=1.895613 lr=0.013314 Epoch[157] Batch [1749]/[3759] Speed: 119.640331 samples/sec accuracy=55.158929 loss=1.896412 lr=0.013305 Epoch[157] Batch [1799]/[3759] Speed: 119.606423 samples/sec accuracy=55.122396 loss=1.899361 lr=0.013296 Epoch[157] Batch [1849]/[3759] Speed: 120.384166 samples/sec accuracy=55.118243 loss=1.898862 lr=0.013287 Epoch[157] Batch [1899]/[3759] Speed: 120.246859 samples/sec accuracy=55.082237 loss=1.900972 lr=0.013279 Epoch[157] Batch [1949]/[3759] Speed: 119.881145 samples/sec accuracy=55.089744 loss=1.901580 lr=0.013270 Epoch[157] Batch [1999]/[3759] Speed: 119.934872 samples/sec accuracy=55.075000 loss=1.903001 lr=0.013261 Epoch[157] Batch [2049]/[3759] Speed: 119.091520 samples/sec accuracy=55.044970 loss=1.903368 lr=0.013252 Epoch[157] Batch [2099]/[3759] Speed: 119.121825 samples/sec accuracy=55.049107 loss=1.902857 lr=0.013244 Epoch[157] Batch [2149]/[3759] Speed: 119.529540 samples/sec accuracy=55.015262 loss=1.903428 lr=0.013235 Epoch[157] Batch [2199]/[3759] Speed: 120.557947 samples/sec accuracy=55.011364 loss=1.903372 lr=0.013226 Epoch[157] Batch [2249]/[3759] Speed: 120.007040 samples/sec accuracy=55.011111 loss=1.903607 lr=0.013217 Epoch[157] Batch [2299]/[3759] Speed: 119.786692 samples/sec accuracy=55.025815 loss=1.904506 lr=0.013209 Epoch[157] Batch [2349]/[3759] Speed: 120.007933 samples/sec accuracy=55.016622 loss=1.906028 lr=0.013200 Epoch[157] Batch [2399]/[3759] Speed: 119.527769 samples/sec accuracy=55.016927 loss=1.905320 lr=0.013191 Epoch[157] Batch [2449]/[3759] Speed: 119.591595 samples/sec accuracy=54.992347 loss=1.906132 lr=0.013182 Epoch[157] Batch [2499]/[3759] Speed: 119.955149 samples/sec accuracy=54.983125 loss=1.906756 lr=0.013174 Epoch[157] Batch [2549]/[3759] Speed: 119.181307 samples/sec accuracy=54.994485 loss=1.907153 lr=0.013165 Epoch[157] Batch [2599]/[3759] Speed: 119.709817 samples/sec accuracy=55.010216 loss=1.907072 lr=0.013156 Epoch[157] Batch [2649]/[3759] Speed: 116.831432 samples/sec accuracy=54.983491 loss=1.908634 lr=0.013148 Epoch[157] Batch [2699]/[3759] Speed: 119.510571 samples/sec accuracy=54.971644 loss=1.909206 lr=0.013139 Epoch[157] Batch [2749]/[3759] Speed: 119.818847 samples/sec accuracy=54.963636 loss=1.910425 lr=0.013130 Epoch[157] Batch [2799]/[3759] Speed: 119.985184 samples/sec accuracy=54.974330 loss=1.910133 lr=0.013121 Epoch[157] Batch [2849]/[3759] Speed: 120.124562 samples/sec accuracy=54.974232 loss=1.909753 lr=0.013113 Epoch[157] Batch [2899]/[3759] Speed: 119.284917 samples/sec accuracy=54.995690 loss=1.908761 lr=0.013104 Epoch[157] Batch [2949]/[3759] Speed: 119.215872 samples/sec accuracy=54.998941 loss=1.908669 lr=0.013095 Epoch[157] Batch [2999]/[3759] Speed: 119.126052 samples/sec accuracy=55.007812 loss=1.908746 lr=0.013087 Epoch[157] Batch [3049]/[3759] Speed: 119.751050 samples/sec accuracy=55.010758 loss=1.908806 lr=0.013078 Epoch[157] Batch [3099]/[3759] Speed: 118.642535 samples/sec accuracy=55.006048 loss=1.909533 lr=0.013069 Epoch[157] Batch [3149]/[3759] Speed: 119.542089 samples/sec accuracy=55.009425 loss=1.910490 lr=0.013061 Epoch[157] Batch [3199]/[3759] Speed: 120.407422 samples/sec accuracy=54.986816 loss=1.911721 lr=0.013052 Epoch[157] Batch [3249]/[3759] Speed: 119.247986 samples/sec accuracy=54.976923 loss=1.912812 lr=0.013043 Epoch[157] Batch [3299]/[3759] Speed: 119.402004 samples/sec accuracy=54.964015 loss=1.912970 lr=0.013034 Epoch[157] Batch [3349]/[3759] Speed: 119.663967 samples/sec accuracy=54.968284 loss=1.912737 lr=0.013026 Epoch[157] Batch [3399]/[3759] Speed: 119.492763 samples/sec accuracy=54.960937 loss=1.913095 lr=0.013017 Epoch[157] Batch [3449]/[3759] Speed: 119.968979 samples/sec accuracy=54.969203 loss=1.913106 lr=0.013008 Epoch[157] Batch [3499]/[3759] Speed: 119.382832 samples/sec accuracy=54.977232 loss=1.912972 lr=0.013000 Epoch[157] Batch [3549]/[3759] Speed: 119.078989 samples/sec accuracy=54.970951 loss=1.913113 lr=0.012991 Epoch[157] Batch [3599]/[3759] Speed: 119.343373 samples/sec accuracy=54.968316 loss=1.912914 lr=0.012982 Epoch[157] Batch [3649]/[3759] Speed: 119.122857 samples/sec accuracy=54.970462 loss=1.912527 lr=0.012974 Epoch[157] Batch [3699]/[3759] Speed: 119.353850 samples/sec accuracy=54.967061 loss=1.913384 lr=0.012965 Epoch[157] Batch [3749]/[3759] Speed: 122.736002 samples/sec accuracy=54.942500 loss=1.914517 lr=0.012956 Batch [0049]/[0303]: acc-top1=55.343750 acc-top5=77.093750 Batch [0099]/[0303]: acc-top1=52.187500 acc-top5=76.484375 Batch [0149]/[0303]: acc-top1=53.479167 acc-top5=77.260417 Batch [0199]/[0303]: acc-top1=55.953125 acc-top5=78.585938 Batch [0249]/[0303]: acc-top1=55.412500 acc-top5=78.206250 Batch [0299]/[0303]: acc-top1=54.822917 acc-top5=78.302083 [Epoch 157] training: accuracy=54.933160 loss=1.914966 [Epoch 157] speed: 119 samples/sec time cost: 2137.745592 [Epoch 157] validation: acc-top1=54.790635 acc-top5=78.341584 loss=2.111810 Epoch[158] Batch [0049]/[3760] Speed: 88.480662 samples/sec accuracy=55.875000 loss=1.852164 lr=0.012946 Epoch[158] Batch [0099]/[3760] Speed: 118.981580 samples/sec accuracy=56.718750 loss=1.833428 lr=0.012937 Epoch[158] Batch [0149]/[3760] Speed: 119.544652 samples/sec accuracy=56.052083 loss=1.864353 lr=0.012929 Epoch[158] Batch [0199]/[3760] Speed: 118.974083 samples/sec accuracy=55.960938 loss=1.871135 lr=0.012920 Epoch[158] Batch [0249]/[3760] Speed: 117.489169 samples/sec accuracy=56.187500 loss=1.872797 lr=0.012912 Epoch[158] Batch [0299]/[3760] Speed: 119.305895 samples/sec accuracy=55.958333 loss=1.880134 lr=0.012903 Epoch[158] Batch [0349]/[3760] Speed: 119.730027 samples/sec accuracy=56.053571 loss=1.880663 lr=0.012894 Epoch[158] Batch [0399]/[3760] Speed: 119.811660 samples/sec accuracy=55.703125 loss=1.885746 lr=0.012886 Epoch[158] Batch [0449]/[3760] Speed: 119.037794 samples/sec accuracy=55.760417 loss=1.882506 lr=0.012877 Epoch[158] Batch [0499]/[3760] Speed: 118.712945 samples/sec accuracy=55.781250 loss=1.882109 lr=0.012868 Epoch[158] Batch [0549]/[3760] Speed: 119.616237 samples/sec accuracy=55.812500 loss=1.880063 lr=0.012860 Epoch[158] Batch [0599]/[3760] Speed: 119.725812 samples/sec accuracy=55.820312 loss=1.878262 lr=0.012851 Epoch[158] Batch [0649]/[3760] Speed: 119.471512 samples/sec accuracy=55.721154 loss=1.879496 lr=0.012842 Epoch[158] Batch [0699]/[3760] Speed: 119.227263 samples/sec accuracy=55.756696 loss=1.878450 lr=0.012834 Epoch[158] Batch [0749]/[3760] Speed: 119.347040 samples/sec accuracy=55.812500 loss=1.875397 lr=0.012825 Epoch[158] Batch [0799]/[3760] Speed: 118.487127 samples/sec accuracy=55.732422 loss=1.877817 lr=0.012817 Epoch[158] Batch [0849]/[3760] Speed: 120.029269 samples/sec accuracy=55.689338 loss=1.879139 lr=0.012808 Epoch[158] Batch [0899]/[3760] Speed: 118.730714 samples/sec accuracy=55.689236 loss=1.882059 lr=0.012799 Epoch[158] Batch [0949]/[3760] Speed: 119.217710 samples/sec accuracy=55.695724 loss=1.881382 lr=0.012791 Epoch[158] Batch [0999]/[3760] Speed: 119.409923 samples/sec accuracy=55.634375 loss=1.881214 lr=0.012782 Epoch[158] Batch [1049]/[3760] Speed: 119.795915 samples/sec accuracy=55.629464 loss=1.882992 lr=0.012773 Epoch[158] Batch [1099]/[3760] Speed: 119.676048 samples/sec accuracy=55.573864 loss=1.885266 lr=0.012765 Epoch[158] Batch [1149]/[3760] Speed: 119.035960 samples/sec accuracy=55.646739 loss=1.883344 lr=0.012756 Epoch[158] Batch [1199]/[3760] Speed: 119.151004 samples/sec accuracy=55.678385 loss=1.883423 lr=0.012748 Epoch[158] Batch [1249]/[3760] Speed: 119.047090 samples/sec accuracy=55.677500 loss=1.883165 lr=0.012739 Epoch[158] Batch [1299]/[3760] Speed: 119.662055 samples/sec accuracy=55.633413 loss=1.884448 lr=0.012730 Epoch[158] Batch [1349]/[3760] Speed: 118.757082 samples/sec accuracy=55.671296 loss=1.882672 lr=0.012722 Epoch[158] Batch [1399]/[3760] Speed: 118.933502 samples/sec accuracy=55.687500 loss=1.880668 lr=0.012713 Epoch[158] Batch [1449]/[3760] Speed: 119.338990 samples/sec accuracy=55.701509 loss=1.880891 lr=0.012705 Epoch[158] Batch [1499]/[3760] Speed: 118.960853 samples/sec accuracy=55.673958 loss=1.880395 lr=0.012696 Epoch[158] Batch [1549]/[3760] Speed: 120.072100 samples/sec accuracy=55.690524 loss=1.880627 lr=0.012687 Epoch[158] Batch [1599]/[3760] Speed: 119.448566 samples/sec accuracy=55.674805 loss=1.881850 lr=0.012679 Epoch[158] Batch [1649]/[3760] Speed: 117.852319 samples/sec accuracy=55.683712 loss=1.882637 lr=0.012670 Epoch[158] Batch [1699]/[3760] Speed: 119.563314 samples/sec accuracy=55.638787 loss=1.884006 lr=0.012662 Epoch[158] Batch [1749]/[3760] Speed: 119.742860 samples/sec accuracy=55.618750 loss=1.884301 lr=0.012653 Epoch[158] Batch [1799]/[3760] Speed: 119.581257 samples/sec accuracy=55.631944 loss=1.884345 lr=0.012645 Epoch[158] Batch [1849]/[3760] Speed: 118.505949 samples/sec accuracy=55.577703 loss=1.885825 lr=0.012636 Epoch[158] Batch [1899]/[3760] Speed: 119.915965 samples/sec accuracy=55.585526 loss=1.886780 lr=0.012627 Epoch[158] Batch [1949]/[3760] Speed: 119.637741 samples/sec accuracy=55.565705 loss=1.887140 lr=0.012619 Epoch[158] Batch [1999]/[3760] Speed: 119.083235 samples/sec accuracy=55.553125 loss=1.887520 lr=0.012610 Epoch[158] Batch [2049]/[3760] Speed: 119.263031 samples/sec accuracy=55.552591 loss=1.888141 lr=0.012602 Epoch[158] Batch [2099]/[3760] Speed: 119.557722 samples/sec accuracy=55.524554 loss=1.889156 lr=0.012593 Epoch[158] Batch [2149]/[3760] Speed: 119.026446 samples/sec accuracy=55.546512 loss=1.887686 lr=0.012585 Epoch[158] Batch [2199]/[3760] Speed: 119.724449 samples/sec accuracy=55.525568 loss=1.889017 lr=0.012576 Epoch[158] Batch [2249]/[3760] Speed: 119.838992 samples/sec accuracy=55.511111 loss=1.889606 lr=0.012568 Epoch[158] Batch [2299]/[3760] Speed: 119.677594 samples/sec accuracy=55.504755 loss=1.889993 lr=0.012559 Epoch[158] Batch [2349]/[3760] Speed: 118.844603 samples/sec accuracy=55.480053 loss=1.890383 lr=0.012550 Epoch[158] Batch [2399]/[3760] Speed: 119.670760 samples/sec accuracy=55.466146 loss=1.890683 lr=0.012542 Epoch[158] Batch [2449]/[3760] Speed: 120.317895 samples/sec accuracy=55.440051 loss=1.890676 lr=0.012533 Epoch[158] Batch [2499]/[3760] Speed: 120.119549 samples/sec accuracy=55.451250 loss=1.889858 lr=0.012525 Epoch[158] Batch [2549]/[3760] Speed: 119.890275 samples/sec accuracy=55.460172 loss=1.889744 lr=0.012516 Epoch[158] Batch [2599]/[3760] Speed: 119.068146 samples/sec accuracy=55.469351 loss=1.889583 lr=0.012508 Epoch[158] Batch [2649]/[3760] Speed: 119.527641 samples/sec accuracy=55.456958 loss=1.890584 lr=0.012499 Epoch[158] Batch [2699]/[3760] Speed: 119.479313 samples/sec accuracy=55.424769 loss=1.891144 lr=0.012491 Epoch[158] Batch [2749]/[3760] Speed: 119.405761 samples/sec accuracy=55.431818 loss=1.890800 lr=0.012482 Epoch[158] Batch [2799]/[3760] Speed: 119.764339 samples/sec accuracy=55.404018 loss=1.892107 lr=0.012474 Epoch[158] Batch [2849]/[3760] Speed: 119.349713 samples/sec accuracy=55.429276 loss=1.891131 lr=0.012465 Epoch[158] Batch [2899]/[3760] Speed: 119.172764 samples/sec accuracy=55.406789 loss=1.891504 lr=0.012457 Epoch[158] Batch [2949]/[3760] Speed: 117.667133 samples/sec accuracy=55.408369 loss=1.891425 lr=0.012448 Epoch[158] Batch [2999]/[3760] Speed: 118.785760 samples/sec accuracy=55.429167 loss=1.890583 lr=0.012440 Epoch[158] Batch [3049]/[3760] Speed: 119.081399 samples/sec accuracy=55.410861 loss=1.890661 lr=0.012431 Epoch[158] Batch [3099]/[3760] Speed: 119.494265 samples/sec accuracy=55.440524 loss=1.889682 lr=0.012423 Epoch[158] Batch [3149]/[3760] Speed: 120.023854 samples/sec accuracy=55.444940 loss=1.889747 lr=0.012414 Epoch[158] Batch [3199]/[3760] Speed: 118.824606 samples/sec accuracy=55.453125 loss=1.889412 lr=0.012406 Epoch[158] Batch [3249]/[3760] Speed: 119.709743 samples/sec accuracy=55.440865 loss=1.890237 lr=0.012397 Epoch[158] Batch [3299]/[3760] Speed: 119.746209 samples/sec accuracy=55.418561 loss=1.891541 lr=0.012389 Epoch[158] Batch [3349]/[3760] Speed: 119.506139 samples/sec accuracy=55.400653 loss=1.892634 lr=0.012380 Epoch[158] Batch [3399]/[3760] Speed: 119.062893 samples/sec accuracy=55.372702 loss=1.893552 lr=0.012372 Epoch[158] Batch [3449]/[3760] Speed: 119.936528 samples/sec accuracy=55.377717 loss=1.893843 lr=0.012363 Epoch[158] Batch [3499]/[3760] Speed: 119.787255 samples/sec accuracy=55.372768 loss=1.894178 lr=0.012355 Epoch[158] Batch [3549]/[3760] Speed: 119.110050 samples/sec accuracy=55.386444 loss=1.893781 lr=0.012346 Epoch[158] Batch [3599]/[3760] Speed: 118.685176 samples/sec accuracy=55.373698 loss=1.894107 lr=0.012338 Epoch[158] Batch [3649]/[3760] Speed: 119.933107 samples/sec accuracy=55.360445 loss=1.894443 lr=0.012329 Epoch[158] Batch [3699]/[3760] Speed: 119.762024 samples/sec accuracy=55.356841 loss=1.894598 lr=0.012321 Epoch[158] Batch [3749]/[3760] Speed: 123.428369 samples/sec accuracy=55.340417 loss=1.895380 lr=0.012312 Batch [0049]/[0303]: acc-top1=54.093750 acc-top5=77.718750 Batch [0099]/[0303]: acc-top1=50.875000 acc-top5=76.578125 Batch [0149]/[0303]: acc-top1=52.625000 acc-top5=77.395833 Batch [0199]/[0303]: acc-top1=55.804688 acc-top5=79.132812 Batch [0249]/[0303]: acc-top1=55.162500 acc-top5=78.837500 Batch [0299]/[0303]: acc-top1=55.072917 acc-top5=79.067708 [Epoch 158] training: accuracy=55.345329 loss=1.895378 [Epoch 158] speed: 118 samples/sec time cost: 2142.465778 [Epoch 158] validation: acc-top1=55.069101 acc-top5=79.109942 loss=2.071410 Epoch[159] Batch [0049]/[3760] Speed: 88.399066 samples/sec accuracy=57.000000 loss=1.784100 lr=0.012302 Epoch[159] Batch [0099]/[3760] Speed: 119.922775 samples/sec accuracy=55.656250 loss=1.860127 lr=0.012293 Epoch[159] Batch [0149]/[3760] Speed: 120.074988 samples/sec accuracy=56.010417 loss=1.860085 lr=0.012285 Epoch[159] Batch [0199]/[3760] Speed: 118.670515 samples/sec accuracy=56.351562 loss=1.843979 lr=0.012277 Epoch[159] Batch [0249]/[3760] Speed: 119.455195 samples/sec accuracy=56.681250 loss=1.832504 lr=0.012268 Epoch[159] Batch [0299]/[3760] Speed: 119.474167 samples/sec accuracy=56.739583 loss=1.832570 lr=0.012260 Epoch[159] Batch [0349]/[3760] Speed: 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accuracy=55.995536 loss=1.860679 lr=0.012015 Epoch[159] Batch [1799]/[3760] Speed: 119.580728 samples/sec accuracy=55.998264 loss=1.861451 lr=0.012007 Epoch[159] Batch [1849]/[3760] Speed: 119.685654 samples/sec accuracy=56.018581 loss=1.860361 lr=0.011999 Epoch[159] Batch [1899]/[3760] Speed: 119.157339 samples/sec accuracy=56.012336 loss=1.861017 lr=0.011990 Epoch[159] Batch [1949]/[3760] Speed: 119.457129 samples/sec accuracy=56.008013 loss=1.861222 lr=0.011982 Epoch[159] Batch [1999]/[3760] Speed: 117.646171 samples/sec accuracy=55.986719 loss=1.863085 lr=0.011973 Epoch[159] Batch [2049]/[3760] Speed: 120.022742 samples/sec accuracy=56.044970 loss=1.861446 lr=0.011965 Epoch[159] Batch [2099]/[3760] Speed: 119.208638 samples/sec accuracy=56.069940 loss=1.861173 lr=0.011957 Epoch[159] Batch [2149]/[3760] Speed: 119.545048 samples/sec accuracy=56.079215 loss=1.860573 lr=0.011948 Epoch[159] Batch [2199]/[3760] Speed: 118.977985 samples/sec accuracy=56.073153 loss=1.861588 lr=0.011940 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loss=1.871229 lr=0.011782 Epoch[159] Batch [3199]/[3760] Speed: 119.486637 samples/sec accuracy=55.846191 loss=1.871315 lr=0.011773 Epoch[159] Batch [3249]/[3760] Speed: 119.589471 samples/sec accuracy=55.861538 loss=1.870760 lr=0.011765 Epoch[159] Batch [3299]/[3760] Speed: 117.718865 samples/sec accuracy=55.865057 loss=1.870441 lr=0.011757 Epoch[159] Batch [3349]/[3760] Speed: 119.997676 samples/sec accuracy=55.855877 loss=1.870981 lr=0.011748 Epoch[159] Batch [3399]/[3760] Speed: 119.430185 samples/sec accuracy=55.867647 loss=1.871183 lr=0.011740 Epoch[159] Batch [3449]/[3760] Speed: 119.707951 samples/sec accuracy=55.886322 loss=1.870866 lr=0.011732 Epoch[159] Batch [3499]/[3760] Speed: 118.954719 samples/sec accuracy=55.893304 loss=1.870896 lr=0.011723 Epoch[159] Batch [3549]/[3760] Speed: 119.512345 samples/sec accuracy=55.872359 loss=1.871607 lr=0.011715 Epoch[159] Batch [3599]/[3760] Speed: 119.562377 samples/sec accuracy=55.871528 loss=1.871734 lr=0.011707 Epoch[159] Batch [3649]/[3760] Speed: 119.959893 samples/sec accuracy=55.877997 loss=1.872101 lr=0.011698 Epoch[159] Batch [3699]/[3760] Speed: 119.888498 samples/sec accuracy=55.866976 loss=1.872936 lr=0.011690 Epoch[159] Batch [3749]/[3760] Speed: 122.617283 samples/sec accuracy=55.863750 loss=1.873167 lr=0.011682 Batch [0049]/[0303]: acc-top1=55.843750 acc-top5=79.281250 Batch [0099]/[0303]: acc-top1=52.562500 acc-top5=77.203125 Batch [0149]/[0303]: acc-top1=54.281250 acc-top5=77.895833 Batch [0199]/[0303]: acc-top1=56.492188 acc-top5=79.265625 Batch [0249]/[0303]: acc-top1=55.937500 acc-top5=78.900000 Batch [0299]/[0303]: acc-top1=55.291667 acc-top5=78.864583 [Epoch 159] training: accuracy=55.854804 loss=1.873445 [Epoch 159] speed: 118 samples/sec time cost: 2140.305494 [Epoch 159] validation: acc-top1=55.239274 acc-top5=78.898515 loss=2.085358 Epoch[160] Batch [0049]/[3759] Speed: 89.344642 samples/sec accuracy=56.062500 loss=1.856746 lr=0.011672 Epoch[160] Batch [0099]/[3759] Speed: 120.247786 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acc-top5=78.177083 Batch [0199]/[0303]: acc-top1=56.929688 acc-top5=79.484375 Batch [0249]/[0303]: acc-top1=56.300000 acc-top5=79.275000 Batch [0299]/[0303]: acc-top1=55.859375 acc-top5=79.312500 [Epoch 160] training: accuracy=56.270783 loss=1.848230 [Epoch 160] speed: 119 samples/sec time cost: 2138.848650 [Epoch 160] validation: acc-top1=55.821988 acc-top5=79.316213 loss=2.013643 Epoch[161] Batch [0049]/[3760] Speed: 88.902807 samples/sec accuracy=57.593750 loss=1.763030 lr=0.011057 Epoch[161] Batch [0099]/[3760] Speed: 119.275300 samples/sec accuracy=57.296875 loss=1.801307 lr=0.011048 Epoch[161] Batch [0149]/[3760] Speed: 119.934374 samples/sec accuracy=57.541667 loss=1.802588 lr=0.011040 Epoch[161] Batch [0199]/[3760] Speed: 119.547462 samples/sec accuracy=57.492188 loss=1.806610 lr=0.011032 Epoch[161] Batch [0249]/[3760] Speed: 119.662973 samples/sec accuracy=57.556250 loss=1.800507 lr=0.011024 Epoch[161] Batch [0299]/[3760] Speed: 118.996975 samples/sec accuracy=57.359375 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accuracy=56.878750 loss=1.822137 lr=0.010863 Epoch[161] Batch [1299]/[3760] Speed: 119.409359 samples/sec accuracy=56.830529 loss=1.823023 lr=0.010855 Epoch[161] Batch [1349]/[3760] Speed: 118.830035 samples/sec accuracy=56.839120 loss=1.822184 lr=0.010847 Epoch[161] Batch [1399]/[3760] Speed: 118.758801 samples/sec accuracy=56.843750 loss=1.822644 lr=0.010839 Epoch[161] Batch [1449]/[3760] Speed: 118.116547 samples/sec accuracy=56.864224 loss=1.821921 lr=0.010831 Epoch[161] Batch [1499]/[3760] Speed: 119.689449 samples/sec accuracy=56.875000 loss=1.822690 lr=0.010823 Epoch[161] Batch [1549]/[3760] Speed: 119.415993 samples/sec accuracy=56.871976 loss=1.823949 lr=0.010815 Epoch[161] Batch [1599]/[3760] Speed: 119.504708 samples/sec accuracy=56.873047 loss=1.824527 lr=0.010807 Epoch[161] Batch [1649]/[3760] Speed: 119.027839 samples/sec accuracy=56.871212 loss=1.823925 lr=0.010799 Epoch[161] Batch [1699]/[3760] Speed: 119.597071 samples/sec accuracy=56.824449 loss=1.825125 lr=0.010791 Epoch[161] Batch [1749]/[3760] Speed: 119.063234 samples/sec accuracy=56.736607 loss=1.827437 lr=0.010783 Epoch[161] Batch [1799]/[3760] Speed: 119.344307 samples/sec accuracy=56.776042 loss=1.825812 lr=0.010775 Epoch[161] Batch [1849]/[3760] Speed: 118.785505 samples/sec accuracy=56.754223 loss=1.825677 lr=0.010767 Epoch[161] Batch [1899]/[3760] Speed: 118.741161 samples/sec accuracy=56.755757 loss=1.825919 lr=0.010759 Epoch[161] Batch [1949]/[3760] Speed: 120.107378 samples/sec accuracy=56.768429 loss=1.826007 lr=0.010751 Epoch[161] Batch [1999]/[3760] Speed: 119.179356 samples/sec accuracy=56.776563 loss=1.825089 lr=0.010743 Epoch[161] Batch [2049]/[3760] Speed: 120.076694 samples/sec accuracy=56.770579 loss=1.826250 lr=0.010735 Epoch[161] Batch [2099]/[3760] Speed: 119.067725 samples/sec accuracy=56.747024 loss=1.827540 lr=0.010727 Epoch[161] Batch [2149]/[3760] Speed: 119.492428 samples/sec accuracy=56.708576 loss=1.827845 lr=0.010719 Epoch[161] Batch [2199]/[3760] Speed: 119.443084 samples/sec accuracy=56.692472 loss=1.828529 lr=0.010711 Epoch[161] Batch [2249]/[3760] Speed: 120.044003 samples/sec accuracy=56.734722 loss=1.827185 lr=0.010703 Epoch[161] Batch [2299]/[3760] Speed: 119.932247 samples/sec accuracy=56.737772 loss=1.827227 lr=0.010695 Epoch[161] Batch [2349]/[3760] Speed: 119.385323 samples/sec accuracy=56.730718 loss=1.827810 lr=0.010687 Epoch[161] Batch [2399]/[3760] Speed: 120.176846 samples/sec accuracy=56.722005 loss=1.829090 lr=0.010679 Epoch[161] Batch [2449]/[3760] Speed: 119.791921 samples/sec accuracy=56.707270 loss=1.829886 lr=0.010671 Epoch[161] Batch [2499]/[3760] Speed: 119.416063 samples/sec accuracy=56.696875 loss=1.830383 lr=0.010663 Epoch[161] Batch [2549]/[3760] Speed: 119.664423 samples/sec accuracy=56.716299 loss=1.829950 lr=0.010655 Epoch[161] Batch [2599]/[3760] Speed: 120.207826 samples/sec accuracy=56.738582 loss=1.829601 lr=0.010647 Epoch[161] Batch [2649]/[3760] Speed: 118.907365 samples/sec accuracy=56.692807 loss=1.830277 lr=0.010639 Epoch[161] Batch [2699]/[3760] Speed: 117.273408 samples/sec accuracy=56.661458 loss=1.831467 lr=0.010631 Epoch[161] Batch [2749]/[3760] Speed: 119.890417 samples/sec accuracy=56.653977 loss=1.831914 lr=0.010624 Epoch[161] Batch [2799]/[3760] Speed: 119.173680 samples/sec accuracy=56.631696 loss=1.833084 lr=0.010616 Epoch[161] Batch [2849]/[3760] Speed: 120.118475 samples/sec accuracy=56.646930 loss=1.832893 lr=0.010608 Epoch[161] Batch [2899]/[3760] Speed: 119.364864 samples/sec accuracy=56.646552 loss=1.833342 lr=0.010600 Epoch[161] Batch [2949]/[3760] Speed: 119.229482 samples/sec accuracy=56.626059 loss=1.834426 lr=0.010592 Epoch[161] Batch [2999]/[3760] Speed: 119.022438 samples/sec accuracy=56.645833 loss=1.834445 lr=0.010584 Epoch[161] Batch [3049]/[3760] Speed: 120.061796 samples/sec accuracy=56.648053 loss=1.834823 lr=0.010576 Epoch[161] Batch [3099]/[3760] Speed: 119.628000 samples/sec accuracy=56.647681 loss=1.835201 lr=0.010568 Epoch[161] Batch [3149]/[3760] Speed: 118.847886 samples/sec accuracy=56.659226 loss=1.834583 lr=0.010560 Epoch[161] Batch [3199]/[3760] Speed: 119.204195 samples/sec accuracy=56.646973 loss=1.834460 lr=0.010552 Epoch[161] Batch [3249]/[3760] Speed: 119.231335 samples/sec accuracy=56.670673 loss=1.833715 lr=0.010544 Epoch[161] Batch [3299]/[3760] Speed: 118.920016 samples/sec accuracy=56.670928 loss=1.833469 lr=0.010536 Epoch[161] Batch [3349]/[3760] Speed: 118.890336 samples/sec accuracy=56.669776 loss=1.833096 lr=0.010528 Epoch[161] Batch [3399]/[3760] Speed: 119.032133 samples/sec accuracy=56.688879 loss=1.832957 lr=0.010520 Epoch[161] Batch [3449]/[3760] Speed: 119.370311 samples/sec accuracy=56.690217 loss=1.833276 lr=0.010512 Epoch[161] Batch [3499]/[3760] Speed: 119.043384 samples/sec accuracy=56.700000 loss=1.832686 lr=0.010505 Epoch[161] Batch [3549]/[3760] Speed: 119.272101 samples/sec accuracy=56.693222 loss=1.832637 lr=0.010497 Epoch[161] Batch [3599]/[3760] Speed: 119.118999 samples/sec accuracy=56.706597 loss=1.832440 lr=0.010489 Epoch[161] Batch [3649]/[3760] Speed: 119.503935 samples/sec accuracy=56.718322 loss=1.832604 lr=0.010481 Epoch[161] Batch [3699]/[3760] Speed: 119.172414 samples/sec accuracy=56.733108 loss=1.831461 lr=0.010473 Epoch[161] Batch [3749]/[3760] Speed: 123.674391 samples/sec accuracy=56.724167 loss=1.831311 lr=0.010465 Batch [0049]/[0303]: acc-top1=57.218750 acc-top5=79.593750 Batch [0099]/[0303]: acc-top1=54.312500 acc-top5=78.468750 Batch [0149]/[0303]: acc-top1=55.614583 acc-top5=79.114583 Batch [0199]/[0303]: acc-top1=57.906250 acc-top5=80.421875 Batch [0249]/[0303]: acc-top1=57.387500 acc-top5=80.193750 Batch [0299]/[0303]: acc-top1=56.802083 acc-top5=80.104167 [Epoch 161] training: accuracy=56.729555 loss=1.830939 [Epoch 161] speed: 118 samples/sec time cost: 2142.006119 [Epoch 161] validation: acc-top1=56.827558 acc-top5=80.105198 loss=1.998470 Epoch[162] Batch [0049]/[3759] Speed: 88.920417 samples/sec accuracy=58.156250 loss=1.735656 lr=0.010456 Epoch[162] Batch [0099]/[3759] Speed: 119.053163 samples/sec accuracy=57.640625 loss=1.766958 lr=0.010448 Epoch[162] Batch [0149]/[3759] Speed: 119.440378 samples/sec accuracy=57.864583 loss=1.762966 lr=0.010440 Epoch[162] Batch [0199]/[3759] Speed: 119.532659 samples/sec accuracy=57.226562 loss=1.783859 lr=0.010432 Epoch[162] Batch [0249]/[3759] Speed: 115.452717 samples/sec accuracy=57.193750 loss=1.792389 lr=0.010424 Epoch[162] Batch [0299]/[3759] Speed: 119.247850 samples/sec accuracy=57.218750 loss=1.798800 lr=0.010416 Epoch[162] Batch [0349]/[3759] Speed: 119.197544 samples/sec accuracy=57.424107 loss=1.789435 lr=0.010408 Epoch[162] Batch [0399]/[3759] Speed: 120.651873 samples/sec accuracy=57.488281 loss=1.791596 lr=0.010400 Epoch[162] Batch [0449]/[3759] Speed: 119.671670 samples/sec accuracy=57.486111 loss=1.792965 lr=0.010393 Epoch[162] Batch [0499]/[3759] Speed: 120.042220 samples/sec accuracy=57.440625 loss=1.792317 lr=0.010385 Epoch[162] Batch [0549]/[3759] Speed: 119.953997 samples/sec accuracy=57.423295 loss=1.794390 lr=0.010377 Epoch[162] Batch [0599]/[3759] Speed: 120.443116 samples/sec accuracy=57.458333 loss=1.791615 lr=0.010369 Epoch[162] Batch [0649]/[3759] Speed: 118.993993 samples/sec accuracy=57.384615 loss=1.798631 lr=0.010361 Epoch[162] Batch [0699]/[3759] Speed: 119.337850 samples/sec accuracy=57.450893 loss=1.794634 lr=0.010353 Epoch[162] Batch [0749]/[3759] Speed: 119.900288 samples/sec accuracy=57.512500 loss=1.793798 lr=0.010345 Epoch[162] Batch [0799]/[3759] Speed: 119.599276 samples/sec accuracy=57.458984 loss=1.793960 lr=0.010338 Epoch[162] Batch [0849]/[3759] Speed: 119.202942 samples/sec accuracy=57.393382 loss=1.795474 lr=0.010330 Epoch[162] Batch [0899]/[3759] Speed: 119.850142 samples/sec accuracy=57.364583 loss=1.797875 lr=0.010322 Epoch[162] Batch [0949]/[3759] Speed: 120.082888 samples/sec accuracy=57.401316 loss=1.798883 lr=0.010314 Epoch[162] Batch [0999]/[3759] Speed: 119.460212 samples/sec accuracy=57.457813 loss=1.797677 lr=0.010306 Epoch[162] Batch [1049]/[3759] Speed: 118.972074 samples/sec accuracy=57.422619 loss=1.797234 lr=0.010298 Epoch[162] Batch [1099]/[3759] Speed: 119.057679 samples/sec accuracy=57.426136 loss=1.797751 lr=0.010290 Epoch[162] Batch [1149]/[3759] Speed: 119.422958 samples/sec accuracy=57.381793 loss=1.799283 lr=0.010283 Epoch[162] Batch [1199]/[3759] Speed: 119.032955 samples/sec accuracy=57.350260 loss=1.799375 lr=0.010275 Epoch[162] Batch [1249]/[3759] Speed: 119.092344 samples/sec accuracy=57.307500 loss=1.801044 lr=0.010267 Epoch[162] Batch [1299]/[3759] Speed: 119.476405 samples/sec accuracy=57.336538 loss=1.800474 lr=0.010259 Epoch[162] Batch [1349]/[3759] Speed: 119.028297 samples/sec accuracy=57.396991 loss=1.798482 lr=0.010251 Epoch[162] Batch [1399]/[3759] Speed: 119.613106 samples/sec accuracy=57.380580 loss=1.798274 lr=0.010243 Epoch[162] Batch [1449]/[3759] Speed: 119.515775 samples/sec accuracy=57.349138 loss=1.800087 lr=0.010236 Epoch[162] Batch [1499]/[3759] Speed: 119.542037 samples/sec accuracy=57.357292 loss=1.799935 lr=0.010228 Epoch[162] Batch [1549]/[3759] Speed: 120.133170 samples/sec accuracy=57.343750 loss=1.801788 lr=0.010220 Epoch[162] Batch [1599]/[3759] Speed: 120.470956 samples/sec accuracy=57.376953 loss=1.801357 lr=0.010212 Epoch[162] Batch [1649]/[3759] Speed: 119.434189 samples/sec accuracy=57.315341 loss=1.802161 lr=0.010204 Epoch[162] Batch [1699]/[3759] Speed: 116.840907 samples/sec accuracy=57.362132 loss=1.801155 lr=0.010197 Epoch[162] Batch [1749]/[3759] Speed: 119.389472 samples/sec accuracy=57.353571 loss=1.801086 lr=0.010189 Epoch[162] Batch [1799]/[3759] Speed: 119.970698 samples/sec accuracy=57.399306 loss=1.798702 lr=0.010181 Epoch[162] Batch [1849]/[3759] Speed: 118.886572 samples/sec accuracy=57.392736 loss=1.799708 lr=0.010173 Epoch[162] Batch [1899]/[3759] Speed: 119.539179 samples/sec accuracy=57.373355 loss=1.799687 lr=0.010165 Epoch[162] Batch [1949]/[3759] Speed: 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loss=1.802207 lr=0.010088 Epoch[162] Batch [2449]/[3759] Speed: 119.277033 samples/sec accuracy=57.344388 loss=1.802237 lr=0.010080 Epoch[162] Batch [2499]/[3759] Speed: 118.428810 samples/sec accuracy=57.341250 loss=1.802363 lr=0.010072 Epoch[162] Batch [2549]/[3759] Speed: 118.819282 samples/sec accuracy=57.295956 loss=1.803559 lr=0.010064 Epoch[162] Batch [2599]/[3759] Speed: 119.346506 samples/sec accuracy=57.262620 loss=1.805063 lr=0.010057 Epoch[162] Batch [2649]/[3759] Speed: 119.788150 samples/sec accuracy=57.252948 loss=1.805044 lr=0.010049 Epoch[162] Batch [2699]/[3759] Speed: 119.700865 samples/sec accuracy=57.252894 loss=1.805260 lr=0.010041 Epoch[162] Batch [2749]/[3759] Speed: 120.113888 samples/sec accuracy=57.217614 loss=1.806949 lr=0.010033 Epoch[162] Batch [2799]/[3759] Speed: 119.739502 samples/sec accuracy=57.176897 loss=1.808309 lr=0.010025 Epoch[162] Batch [2849]/[3759] Speed: 119.172360 samples/sec accuracy=57.192434 loss=1.806901 lr=0.010018 Epoch[162] Batch 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accuracy=57.246735 loss=1.808086 lr=0.009940 Epoch[162] Batch [3399]/[3759] Speed: 118.769026 samples/sec accuracy=57.239430 loss=1.807950 lr=0.009933 Epoch[162] Batch [3449]/[3759] Speed: 119.559071 samples/sec accuracy=57.235054 loss=1.807568 lr=0.009925 Epoch[162] Batch [3499]/[3759] Speed: 120.437462 samples/sec accuracy=57.226786 loss=1.807661 lr=0.009917 Epoch[162] Batch [3549]/[3759] Speed: 118.841127 samples/sec accuracy=57.218310 loss=1.808311 lr=0.009910 Epoch[162] Batch [3599]/[3759] Speed: 119.755347 samples/sec accuracy=57.227431 loss=1.807800 lr=0.009902 Epoch[162] Batch [3649]/[3759] Speed: 118.928173 samples/sec accuracy=57.233305 loss=1.807983 lr=0.009894 Epoch[162] Batch [3699]/[3759] Speed: 118.781100 samples/sec accuracy=57.225507 loss=1.807837 lr=0.009886 Epoch[162] Batch [3749]/[3759] Speed: 123.731635 samples/sec accuracy=57.235000 loss=1.806704 lr=0.009879 Batch [0049]/[0303]: acc-top1=58.718750 acc-top5=80.593750 Batch [0099]/[0303]: acc-top1=54.968750 acc-top5=78.515625 Batch [0149]/[0303]: acc-top1=56.270833 acc-top5=79.072917 Batch [0199]/[0303]: acc-top1=58.679688 acc-top5=80.476562 Batch [0249]/[0303]: acc-top1=57.943750 acc-top5=80.068750 Batch [0299]/[0303]: acc-top1=57.406250 acc-top5=80.067708 [Epoch 162] training: accuracy=57.233473 loss=1.806600 [Epoch 162] speed: 118 samples/sec time cost: 2140.390824 [Epoch 162] validation: acc-top1=57.389645 acc-top5=80.084571 loss=2.007482 Epoch[163] Batch [0049]/[3760] Speed: 89.257133 samples/sec accuracy=56.125000 loss=1.834124 lr=0.009870 Epoch[163] Batch [0099]/[3760] Speed: 119.417616 samples/sec accuracy=57.375000 loss=1.797396 lr=0.009862 Epoch[163] Batch [0149]/[3760] Speed: 119.573080 samples/sec accuracy=58.479167 loss=1.758599 lr=0.009854 Epoch[163] Batch [0199]/[3760] Speed: 119.487564 samples/sec accuracy=58.421875 loss=1.759198 lr=0.009847 Epoch[163] Batch [0249]/[3760] Speed: 119.475776 samples/sec accuracy=58.356250 loss=1.754582 lr=0.009839 Epoch[163] Batch 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accuracy=57.972917 loss=1.762866 lr=0.009762 Epoch[163] Batch [0799]/[3760] Speed: 119.789347 samples/sec accuracy=57.990234 loss=1.762755 lr=0.009755 Epoch[163] Batch [0849]/[3760] Speed: 119.617787 samples/sec accuracy=58.047794 loss=1.763209 lr=0.009747 Epoch[163] Batch [0899]/[3760] Speed: 119.837923 samples/sec accuracy=58.092014 loss=1.758126 lr=0.009739 Epoch[163] Batch [0949]/[3760] Speed: 118.875176 samples/sec accuracy=58.065789 loss=1.758363 lr=0.009732 Epoch[163] Batch [0999]/[3760] Speed: 119.884058 samples/sec accuracy=57.964063 loss=1.760591 lr=0.009724 Epoch[163] Batch [1049]/[3760] Speed: 118.736168 samples/sec accuracy=57.983631 loss=1.760952 lr=0.009716 Epoch[163] Batch [1099]/[3760] Speed: 120.009187 samples/sec accuracy=57.992898 loss=1.761208 lr=0.009709 Epoch[163] Batch [1149]/[3760] Speed: 119.113987 samples/sec accuracy=57.960598 loss=1.763816 lr=0.009701 Epoch[163] Batch [1199]/[3760] Speed: 119.532657 samples/sec accuracy=57.954427 loss=1.766061 lr=0.009693 Epoch[163] Batch [1249]/[3760] Speed: 119.667849 samples/sec accuracy=57.930000 loss=1.767715 lr=0.009686 Epoch[163] Batch [1299]/[3760] Speed: 120.699542 samples/sec accuracy=57.954327 loss=1.767272 lr=0.009678 Epoch[163] Batch [1349]/[3760] Speed: 119.560056 samples/sec accuracy=57.944444 loss=1.768171 lr=0.009671 Epoch[163] Batch [1399]/[3760] Speed: 119.554517 samples/sec accuracy=57.914062 loss=1.769260 lr=0.009663 Epoch[163] Batch [1449]/[3760] Speed: 120.078797 samples/sec accuracy=57.928879 loss=1.768715 lr=0.009655 Epoch[163] Batch [1499]/[3760] Speed: 119.050858 samples/sec accuracy=57.930208 loss=1.768100 lr=0.009648 Epoch[163] Batch [1549]/[3760] Speed: 119.926899 samples/sec accuracy=57.914315 loss=1.769682 lr=0.009640 Epoch[163] Batch [1599]/[3760] Speed: 119.178332 samples/sec accuracy=57.915039 loss=1.770071 lr=0.009632 Epoch[163] Batch [1649]/[3760] Speed: 119.453796 samples/sec accuracy=57.858902 loss=1.772189 lr=0.009625 Epoch[163] Batch [1699]/[3760] Speed: 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loss=1.775983 lr=0.009549 Epoch[163] Batch [2199]/[3760] Speed: 119.482558 samples/sec accuracy=57.757102 loss=1.776858 lr=0.009541 Epoch[163] Batch [2249]/[3760] Speed: 118.872276 samples/sec accuracy=57.747917 loss=1.776678 lr=0.009534 Epoch[163] Batch [2299]/[3760] Speed: 119.613293 samples/sec accuracy=57.739810 loss=1.777479 lr=0.009526 Epoch[163] Batch [2349]/[3760] Speed: 120.168945 samples/sec accuracy=57.750000 loss=1.777569 lr=0.009519 Epoch[163] Batch [2399]/[3760] Speed: 119.783319 samples/sec accuracy=57.754557 loss=1.777747 lr=0.009511 Epoch[163] Batch [2449]/[3760] Speed: 119.439880 samples/sec accuracy=57.748724 loss=1.778599 lr=0.009504 Epoch[163] Batch [2499]/[3760] Speed: 120.053618 samples/sec accuracy=57.732500 loss=1.779590 lr=0.009496 Epoch[163] Batch [2549]/[3760] Speed: 120.251250 samples/sec accuracy=57.750613 loss=1.778414 lr=0.009488 Epoch[163] Batch [2599]/[3760] Speed: 119.375005 samples/sec accuracy=57.733173 loss=1.778562 lr=0.009481 Epoch[163] Batch 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accuracy=57.710181 loss=1.780121 lr=0.009405 Epoch[163] Batch [3149]/[3760] Speed: 118.634025 samples/sec accuracy=57.707341 loss=1.780612 lr=0.009398 Epoch[163] Batch [3199]/[3760] Speed: 119.600571 samples/sec accuracy=57.699219 loss=1.781305 lr=0.009390 Epoch[163] Batch [3249]/[3760] Speed: 118.774886 samples/sec accuracy=57.707212 loss=1.781255 lr=0.009383 Epoch[163] Batch [3299]/[3760] Speed: 119.014897 samples/sec accuracy=57.709754 loss=1.781154 lr=0.009375 Epoch[163] Batch [3349]/[3760] Speed: 119.384101 samples/sec accuracy=57.727146 loss=1.780957 lr=0.009368 Epoch[163] Batch [3399]/[3760] Speed: 118.874965 samples/sec accuracy=57.729779 loss=1.780730 lr=0.009360 Epoch[163] Batch [3449]/[3760] Speed: 118.970448 samples/sec accuracy=57.709692 loss=1.781399 lr=0.009353 Epoch[163] Batch [3499]/[3760] Speed: 119.495482 samples/sec accuracy=57.720982 loss=1.780934 lr=0.009345 Epoch[163] Batch [3549]/[3760] Speed: 118.025884 samples/sec accuracy=57.729313 loss=1.780684 lr=0.009338 Epoch[163] Batch [3599]/[3760] Speed: 119.248683 samples/sec accuracy=57.748264 loss=1.780031 lr=0.009330 Epoch[163] Batch [3649]/[3760] Speed: 119.787637 samples/sec accuracy=57.755137 loss=1.779067 lr=0.009323 Epoch[163] Batch [3699]/[3760] Speed: 119.665658 samples/sec accuracy=57.742399 loss=1.779397 lr=0.009315 Epoch[163] Batch [3749]/[3760] Speed: 123.855004 samples/sec accuracy=57.727917 loss=1.779955 lr=0.009308 Batch [0049]/[0303]: acc-top1=56.312500 acc-top5=79.468750 Batch [0099]/[0303]: acc-top1=53.937500 acc-top5=78.687500 Batch [0149]/[0303]: acc-top1=55.656250 acc-top5=79.302083 Batch [0199]/[0303]: acc-top1=58.195312 acc-top5=80.640625 Batch [0249]/[0303]: acc-top1=57.556250 acc-top5=80.443750 Batch [0299]/[0303]: acc-top1=57.010417 acc-top5=80.317708 [Epoch 163] training: accuracy=57.728973 loss=1.779532 [Epoch 163] speed: 118 samples/sec time cost: 2139.949814 [Epoch 163] validation: acc-top1=56.982261 acc-top5=80.378507 loss=1.975186 Epoch[164] Batch [0049]/[3760] Speed: 88.486209 samples/sec accuracy=58.468750 loss=1.762583 lr=0.009299 Epoch[164] Batch [0099]/[3760] Speed: 119.864525 samples/sec accuracy=59.234375 loss=1.723474 lr=0.009291 Epoch[164] Batch [0149]/[3760] Speed: 119.266622 samples/sec accuracy=59.437500 loss=1.720617 lr=0.009284 Epoch[164] Batch [0199]/[3760] Speed: 119.214068 samples/sec accuracy=59.109375 loss=1.726992 lr=0.009276 Epoch[164] Batch [0249]/[3760] Speed: 119.668408 samples/sec accuracy=58.968750 loss=1.727651 lr=0.009269 Epoch[164] Batch [0299]/[3760] Speed: 118.910880 samples/sec accuracy=58.968750 loss=1.729202 lr=0.009261 Epoch[164] Batch [0349]/[3760] Speed: 119.567292 samples/sec accuracy=58.794643 loss=1.732831 lr=0.009254 Epoch[164] Batch [0399]/[3760] Speed: 119.426855 samples/sec accuracy=58.914062 loss=1.726986 lr=0.009246 Epoch[164] Batch [0449]/[3760] Speed: 119.372273 samples/sec accuracy=58.822917 loss=1.730475 lr=0.009239 Epoch[164] Batch [0499]/[3760] Speed: 119.695996 samples/sec accuracy=58.700000 loss=1.735978 lr=0.009231 Epoch[164] Batch [0549]/[3760] Speed: 118.903808 samples/sec accuracy=58.741477 loss=1.736499 lr=0.009224 Epoch[164] Batch [0599]/[3760] Speed: 118.513918 samples/sec accuracy=58.835938 loss=1.732068 lr=0.009217 Epoch[164] Batch [0649]/[3760] Speed: 119.148532 samples/sec accuracy=58.913462 loss=1.729884 lr=0.009209 Epoch[164] Batch [0699]/[3760] Speed: 120.348778 samples/sec accuracy=58.799107 loss=1.734495 lr=0.009202 Epoch[164] Batch [0749]/[3760] Speed: 119.850168 samples/sec accuracy=58.737500 loss=1.737013 lr=0.009194 Epoch[164] Batch [0799]/[3760] Speed: 118.972508 samples/sec accuracy=58.634766 loss=1.742394 lr=0.009187 Epoch[164] Batch [0849]/[3760] Speed: 119.132874 samples/sec accuracy=58.577206 loss=1.743742 lr=0.009179 Epoch[164] Batch [0899]/[3760] Speed: 119.155339 samples/sec accuracy=58.557292 loss=1.744117 lr=0.009172 Epoch[164] Batch [0949]/[3760] Speed: 118.898269 samples/sec accuracy=58.521382 loss=1.745998 lr=0.009164 Epoch[164] Batch [0999]/[3760] Speed: 119.152387 samples/sec accuracy=58.464063 loss=1.748280 lr=0.009157 Epoch[164] Batch [1049]/[3760] Speed: 119.755242 samples/sec accuracy=58.510417 loss=1.748068 lr=0.009149 Epoch[164] Batch [1099]/[3760] Speed: 120.035238 samples/sec accuracy=58.434659 loss=1.749850 lr=0.009142 Epoch[164] Batch [1149]/[3760] Speed: 119.304909 samples/sec accuracy=58.459239 loss=1.747474 lr=0.009135 Epoch[164] Batch [1199]/[3760] Speed: 117.025946 samples/sec accuracy=58.454427 loss=1.748297 lr=0.009127 Epoch[164] Batch [1249]/[3760] Speed: 119.768716 samples/sec accuracy=58.458750 loss=1.748425 lr=0.009120 Epoch[164] Batch [1299]/[3760] Speed: 118.776395 samples/sec accuracy=58.382212 loss=1.750771 lr=0.009112 Epoch[164] Batch [1349]/[3760] Speed: 119.039972 samples/sec accuracy=58.321759 loss=1.753519 lr=0.009105 Epoch[164] Batch [1399]/[3760] Speed: 119.739596 samples/sec accuracy=58.324777 loss=1.752649 lr=0.009097 Epoch[164] Batch [1449]/[3760] Speed: 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accuracy=58.120066 loss=1.760300 lr=0.008883 Epoch[164] Batch [2899]/[3760] Speed: 119.922471 samples/sec accuracy=58.110991 loss=1.760161 lr=0.008876 Epoch[164] Batch [2949]/[3760] Speed: 119.381539 samples/sec accuracy=58.081568 loss=1.761716 lr=0.008869 Epoch[164] Batch [2999]/[3760] Speed: 119.127377 samples/sec accuracy=58.106250 loss=1.760427 lr=0.008861 Epoch[164] Batch [3049]/[3760] Speed: 119.430085 samples/sec accuracy=58.106557 loss=1.760577 lr=0.008854 Epoch[164] Batch [3099]/[3760] Speed: 119.188407 samples/sec accuracy=58.110887 loss=1.760945 lr=0.008847 Epoch[164] Batch [3149]/[3760] Speed: 120.524934 samples/sec accuracy=58.121528 loss=1.760436 lr=0.008840 Epoch[164] Batch [3199]/[3760] Speed: 120.397699 samples/sec accuracy=58.108887 loss=1.760254 lr=0.008832 Epoch[164] Batch [3249]/[3760] Speed: 119.293923 samples/sec accuracy=58.101923 loss=1.760439 lr=0.008825 Epoch[164] Batch [3299]/[3760] Speed: 118.729686 samples/sec accuracy=58.115530 loss=1.759424 lr=0.008818 Epoch[164] Batch [3349]/[3760] Speed: 119.546951 samples/sec accuracy=58.107743 loss=1.759595 lr=0.008810 Epoch[164] Batch [3399]/[3760] Speed: 119.949819 samples/sec accuracy=58.087316 loss=1.760384 lr=0.008803 Epoch[164] Batch [3449]/[3760] Speed: 118.972741 samples/sec accuracy=58.079257 loss=1.760989 lr=0.008796 Epoch[164] Batch [3499]/[3760] Speed: 119.620625 samples/sec accuracy=58.079018 loss=1.761018 lr=0.008788 Epoch[164] Batch [3549]/[3760] Speed: 119.421278 samples/sec accuracy=58.064261 loss=1.762079 lr=0.008781 Epoch[164] Batch [3599]/[3760] Speed: 119.851138 samples/sec accuracy=58.060764 loss=1.761550 lr=0.008774 Epoch[164] Batch [3649]/[3760] Speed: 118.845432 samples/sec accuracy=58.066353 loss=1.761698 lr=0.008766 Epoch[164] Batch [3699]/[3760] Speed: 119.380569 samples/sec accuracy=58.048986 loss=1.762001 lr=0.008759 Epoch[164] Batch [3749]/[3760] Speed: 123.338989 samples/sec accuracy=58.053333 loss=1.761877 lr=0.008752 Batch [0049]/[0303]: acc-top1=57.750000 acc-top5=79.781250 Batch [0099]/[0303]: acc-top1=54.328125 acc-top5=78.234375 Batch [0149]/[0303]: acc-top1=55.718750 acc-top5=78.875000 Batch [0199]/[0303]: acc-top1=58.109375 acc-top5=80.320312 Batch [0249]/[0303]: acc-top1=57.543750 acc-top5=80.187500 Batch [0299]/[0303]: acc-top1=56.968750 acc-top5=80.078125 [Epoch 164] training: accuracy=58.051862 loss=1.761928 [Epoch 164] speed: 118 samples/sec time cost: 2143.084806 [Epoch 164] validation: acc-top1=56.915223 acc-top5=80.069101 loss=1.989711 Epoch[165] Batch [0049]/[3759] Speed: 88.358432 samples/sec accuracy=58.375000 loss=1.761298 lr=0.008743 Epoch[165] Batch [0099]/[3759] Speed: 119.571274 samples/sec accuracy=58.718750 loss=1.736545 lr=0.008736 Epoch[165] Batch [0149]/[3759] Speed: 119.865047 samples/sec accuracy=58.447917 loss=1.746036 lr=0.008729 Epoch[165] Batch [0199]/[3759] Speed: 119.348453 samples/sec accuracy=58.132812 loss=1.754328 lr=0.008721 Epoch[165] Batch [0249]/[3759] Speed: 117.500455 samples/sec 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loss=1.738389 lr=0.008511 Epoch[165] Batch [1699]/[3759] Speed: 117.270748 samples/sec accuracy=58.640625 loss=1.737966 lr=0.008504 Epoch[165] Batch [1749]/[3759] Speed: 118.862896 samples/sec accuracy=58.652679 loss=1.737797 lr=0.008497 Epoch[165] Batch [1799]/[3759] Speed: 120.069671 samples/sec accuracy=58.651042 loss=1.737416 lr=0.008490 Epoch[165] Batch [1849]/[3759] Speed: 119.427088 samples/sec accuracy=58.631757 loss=1.738405 lr=0.008483 Epoch[165] Batch [1899]/[3759] Speed: 118.891887 samples/sec accuracy=58.615132 loss=1.738495 lr=0.008475 Epoch[165] Batch [1949]/[3759] Speed: 119.399767 samples/sec accuracy=58.641026 loss=1.737540 lr=0.008468 Epoch[165] Batch [1999]/[3759] Speed: 118.796432 samples/sec accuracy=58.617188 loss=1.737587 lr=0.008461 Epoch[165] Batch [2049]/[3759] Speed: 119.721933 samples/sec accuracy=58.625000 loss=1.737585 lr=0.008454 Epoch[165] Batch [2099]/[3759] Speed: 119.005471 samples/sec accuracy=58.604167 loss=1.739253 lr=0.008447 Epoch[165] Batch 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accuracy=58.643029 loss=1.738561 lr=0.008375 Epoch[165] Batch [2649]/[3759] Speed: 119.314659 samples/sec accuracy=58.635024 loss=1.738547 lr=0.008368 Epoch[165] Batch [2699]/[3759] Speed: 119.331871 samples/sec accuracy=58.626736 loss=1.738385 lr=0.008361 Epoch[165] Batch [2749]/[3759] Speed: 118.794493 samples/sec accuracy=58.643182 loss=1.738362 lr=0.008354 Epoch[165] Batch [2799]/[3759] Speed: 119.575626 samples/sec accuracy=58.650112 loss=1.738510 lr=0.008347 Epoch[165] Batch [2849]/[3759] Speed: 120.197773 samples/sec accuracy=58.644737 loss=1.738676 lr=0.008339 Epoch[165] Batch [2899]/[3759] Speed: 119.400977 samples/sec accuracy=58.639547 loss=1.739377 lr=0.008332 Epoch[165] Batch [2949]/[3759] Speed: 119.535361 samples/sec accuracy=58.638771 loss=1.739741 lr=0.008325 Epoch[165] Batch [2999]/[3759] Speed: 119.417726 samples/sec accuracy=58.651042 loss=1.739553 lr=0.008318 Epoch[165] Batch [3049]/[3759] Speed: 118.796821 samples/sec accuracy=58.648053 loss=1.739603 lr=0.008311 Epoch[165] Batch [3099]/[3759] Speed: 117.903380 samples/sec accuracy=58.638609 loss=1.740404 lr=0.008304 Epoch[165] Batch [3149]/[3759] Speed: 119.940660 samples/sec accuracy=58.650794 loss=1.740125 lr=0.008297 Epoch[165] Batch [3199]/[3759] Speed: 119.632566 samples/sec accuracy=58.654297 loss=1.740789 lr=0.008290 Epoch[165] Batch [3249]/[3759] Speed: 119.933113 samples/sec accuracy=58.643269 loss=1.741177 lr=0.008282 Epoch[165] Batch [3299]/[3759] Speed: 119.841806 samples/sec accuracy=58.647254 loss=1.740655 lr=0.008275 Epoch[165] Batch [3349]/[3759] Speed: 119.427318 samples/sec accuracy=58.630131 loss=1.741447 lr=0.008268 Epoch[165] Batch [3399]/[3759] Speed: 119.921867 samples/sec accuracy=58.635110 loss=1.741166 lr=0.008261 Epoch[165] Batch [3449]/[3759] Speed: 118.410147 samples/sec accuracy=58.627717 loss=1.741602 lr=0.008254 Epoch[165] Batch [3499]/[3759] Speed: 119.700276 samples/sec accuracy=58.624107 loss=1.742031 lr=0.008247 Epoch[165] Batch [3549]/[3759] Speed: 119.115540 samples/sec accuracy=58.602993 loss=1.742780 lr=0.008240 Epoch[165] Batch [3599]/[3759] Speed: 120.282420 samples/sec accuracy=58.606337 loss=1.742553 lr=0.008233 Epoch[165] Batch [3649]/[3759] Speed: 120.452333 samples/sec accuracy=58.604024 loss=1.742763 lr=0.008226 Epoch[165] Batch [3699]/[3759] Speed: 120.002600 samples/sec accuracy=58.596706 loss=1.742982 lr=0.008219 Epoch[165] Batch [3749]/[3759] Speed: 123.740313 samples/sec accuracy=58.597917 loss=1.742788 lr=0.008211 Batch [0049]/[0303]: acc-top1=57.593750 acc-top5=80.000000 Batch [0099]/[0303]: acc-top1=55.312500 acc-top5=78.921875 Batch [0149]/[0303]: acc-top1=56.479167 acc-top5=79.802083 Batch [0199]/[0303]: acc-top1=59.164062 acc-top5=81.179688 Batch [0249]/[0303]: acc-top1=58.475000 acc-top5=80.950000 Batch [0299]/[0303]: acc-top1=58.015625 acc-top5=81.010417 [Epoch 165] training: accuracy=58.606012 loss=1.742680 [Epoch 165] speed: 118 samples/sec time cost: 2141.598197 [Epoch 165] validation: acc-top1=57.884695 acc-top5=81.002475 loss=1.919812 Epoch[166] Batch [0049]/[3760] Speed: 89.518685 samples/sec accuracy=59.281250 loss=1.694411 lr=0.008203 Epoch[166] Batch [0099]/[3760] Speed: 119.251648 samples/sec accuracy=60.046875 loss=1.674868 lr=0.008196 Epoch[166] Batch [0149]/[3760] Speed: 119.940570 samples/sec accuracy=60.333333 loss=1.671293 lr=0.008189 Epoch[166] Batch [0199]/[3760] Speed: 119.152193 samples/sec accuracy=59.632812 loss=1.692752 lr=0.008182 Epoch[166] Batch [0249]/[3760] Speed: 119.115907 samples/sec accuracy=59.606250 loss=1.695360 lr=0.008175 Epoch[166] Batch [0299]/[3760] Speed: 118.744780 samples/sec accuracy=59.578125 loss=1.699498 lr=0.008168 Epoch[166] Batch [0349]/[3760] Speed: 119.422497 samples/sec accuracy=59.517857 loss=1.702755 lr=0.008161 Epoch[166] Batch [0399]/[3760] Speed: 118.986026 samples/sec accuracy=59.558594 loss=1.696879 lr=0.008154 Epoch[166] Batch [0449]/[3760] Speed: 119.584049 samples/sec accuracy=59.513889 loss=1.701956 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accuracy=59.217634 loss=1.714592 lr=0.008013 Epoch[166] Batch [1449]/[3760] Speed: 119.681119 samples/sec accuracy=59.231681 loss=1.713803 lr=0.008006 Epoch[166] Batch [1499]/[3760] Speed: 120.228664 samples/sec accuracy=59.217708 loss=1.713534 lr=0.007999 Epoch[166] Batch [1549]/[3760] Speed: 119.194058 samples/sec accuracy=59.215726 loss=1.713015 lr=0.007992 Epoch[166] Batch [1599]/[3760] Speed: 119.567917 samples/sec accuracy=59.250000 loss=1.712485 lr=0.007985 Epoch[166] Batch [1649]/[3760] Speed: 119.666992 samples/sec accuracy=59.214962 loss=1.713748 lr=0.007978 Epoch[166] Batch [1699]/[3760] Speed: 119.743077 samples/sec accuracy=59.192096 loss=1.714353 lr=0.007971 Epoch[166] Batch [1749]/[3760] Speed: 119.520794 samples/sec accuracy=59.207143 loss=1.713746 lr=0.007964 Epoch[166] Batch [1799]/[3760] Speed: 120.391556 samples/sec accuracy=59.214410 loss=1.713870 lr=0.007957 Epoch[166] Batch [1849]/[3760] Speed: 119.319902 samples/sec accuracy=59.217061 loss=1.714426 lr=0.007950 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accuracy=59.189167 loss=1.715750 lr=0.007687 Batch [0049]/[0303]: acc-top1=58.812500 acc-top5=79.656250 Batch [0099]/[0303]: acc-top1=55.984375 acc-top5=79.421875 Batch [0149]/[0303]: acc-top1=57.229167 acc-top5=80.010417 Batch [0199]/[0303]: acc-top1=59.929687 acc-top5=81.562500 Batch [0249]/[0303]: acc-top1=58.993750 acc-top5=81.175000 Batch [0299]/[0303]: acc-top1=58.614583 acc-top5=81.114583 [Epoch 166] training: accuracy=59.185921 loss=1.715803 [Epoch 166] speed: 118 samples/sec time cost: 2141.805562 [Epoch 166] validation: acc-top1=58.575701 acc-top5=81.105611 loss=1.889329 Epoch[167] Batch [0049]/[3760] Speed: 88.474476 samples/sec accuracy=61.656250 loss=1.644639 lr=0.007679 Epoch[167] Batch [0099]/[3760] Speed: 119.200182 samples/sec accuracy=60.796875 loss=1.647008 lr=0.007672 Epoch[167] Batch [0149]/[3760] Speed: 119.611386 samples/sec accuracy=60.458333 loss=1.655408 lr=0.007665 Epoch[167] Batch [0199]/[3760] Speed: 119.375525 samples/sec accuracy=60.265625 loss=1.669841 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accuracy=60.061141 loss=1.679500 lr=0.007528 Epoch[167] Batch [1199]/[3760] Speed: 119.967133 samples/sec accuracy=59.972656 loss=1.681578 lr=0.007521 Epoch[167] Batch [1249]/[3760] Speed: 116.849683 samples/sec accuracy=59.970000 loss=1.681855 lr=0.007515 Epoch[167] Batch [1299]/[3760] Speed: 119.383967 samples/sec accuracy=59.939904 loss=1.682340 lr=0.007508 Epoch[167] Batch [1349]/[3760] Speed: 119.303938 samples/sec accuracy=59.887731 loss=1.682676 lr=0.007501 Epoch[167] Batch [1399]/[3760] Speed: 119.628823 samples/sec accuracy=59.886161 loss=1.682420 lr=0.007494 Epoch[167] Batch [1449]/[3760] Speed: 120.573264 samples/sec accuracy=59.853448 loss=1.684224 lr=0.007488 Epoch[167] Batch [1499]/[3760] Speed: 119.917172 samples/sec accuracy=59.880208 loss=1.681986 lr=0.007481 Epoch[167] Batch [1549]/[3760] Speed: 118.749607 samples/sec accuracy=59.863911 loss=1.682141 lr=0.007474 Epoch[167] Batch [1599]/[3760] Speed: 119.031691 samples/sec accuracy=59.821289 loss=1.683477 lr=0.007467 Epoch[167] Batch [1649]/[3760] Speed: 119.657094 samples/sec accuracy=59.841856 loss=1.682705 lr=0.007460 Epoch[167] Batch [1699]/[3760] Speed: 119.879050 samples/sec accuracy=59.852941 loss=1.683171 lr=0.007454 Epoch[167] Batch [1749]/[3760] Speed: 119.810554 samples/sec accuracy=59.806250 loss=1.683983 lr=0.007447 Epoch[167] Batch [1799]/[3760] Speed: 119.743533 samples/sec accuracy=59.782986 loss=1.684918 lr=0.007440 Epoch[167] Batch [1849]/[3760] Speed: 119.190027 samples/sec accuracy=59.787162 loss=1.684593 lr=0.007433 Epoch[167] Batch [1899]/[3760] Speed: 119.722778 samples/sec accuracy=59.772204 loss=1.685464 lr=0.007427 Epoch[167] Batch [1949]/[3760] Speed: 118.702555 samples/sec accuracy=59.766827 loss=1.686896 lr=0.007420 Epoch[167] Batch [1999]/[3760] Speed: 119.412227 samples/sec accuracy=59.789844 loss=1.686565 lr=0.007413 Epoch[167] Batch [2049]/[3760] Speed: 119.728659 samples/sec accuracy=59.793445 loss=1.686812 lr=0.007406 Epoch[167] Batch [2099]/[3760] Speed: 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loss=1.684086 lr=0.007339 Epoch[167] Batch [2599]/[3760] Speed: 118.782448 samples/sec accuracy=59.847356 loss=1.684048 lr=0.007332 Epoch[167] Batch [2649]/[3760] Speed: 119.429979 samples/sec accuracy=59.840212 loss=1.684045 lr=0.007325 Epoch[167] Batch [2699]/[3760] Speed: 119.858591 samples/sec accuracy=59.825810 loss=1.685437 lr=0.007319 Epoch[167] Batch [2749]/[3760] Speed: 116.901753 samples/sec accuracy=59.821591 loss=1.685648 lr=0.007312 Epoch[167] Batch [2799]/[3760] Speed: 119.879398 samples/sec accuracy=59.837054 loss=1.685993 lr=0.007305 Epoch[167] Batch [2849]/[3760] Speed: 120.111995 samples/sec accuracy=59.825110 loss=1.685954 lr=0.007299 Epoch[167] Batch [2899]/[3760] Speed: 118.206104 samples/sec accuracy=59.830280 loss=1.686435 lr=0.007292 Epoch[167] Batch [2949]/[3760] Speed: 120.089489 samples/sec accuracy=59.808792 loss=1.686829 lr=0.007285 Epoch[167] Batch [2999]/[3760] Speed: 119.922536 samples/sec accuracy=59.799479 loss=1.687400 lr=0.007278 Epoch[167] Batch [3049]/[3760] Speed: 119.419851 samples/sec accuracy=59.799693 loss=1.687399 lr=0.007272 Epoch[167] Batch [3099]/[3760] Speed: 119.027042 samples/sec accuracy=59.819556 loss=1.686295 lr=0.007265 Epoch[167] Batch [3149]/[3760] Speed: 119.679207 samples/sec accuracy=59.799107 loss=1.687588 lr=0.007258 Epoch[167] Batch [3199]/[3760] Speed: 119.351716 samples/sec accuracy=59.798828 loss=1.687868 lr=0.007252 Epoch[167] Batch [3249]/[3760] Speed: 118.855704 samples/sec accuracy=59.791346 loss=1.688302 lr=0.007245 Epoch[167] Batch [3299]/[3760] Speed: 120.081325 samples/sec accuracy=59.770833 loss=1.688999 lr=0.007238 Epoch[167] Batch [3349]/[3760] Speed: 119.858432 samples/sec accuracy=59.762127 loss=1.689302 lr=0.007232 Epoch[167] Batch [3399]/[3760] Speed: 120.198884 samples/sec accuracy=59.778493 loss=1.689071 lr=0.007225 Epoch[167] Batch [3449]/[3760] Speed: 119.459341 samples/sec accuracy=59.772192 loss=1.689536 lr=0.007218 Epoch[167] Batch [3499]/[3760] Speed: 119.459201 samples/sec accuracy=59.780357 loss=1.689628 lr=0.007212 Epoch[167] Batch [3549]/[3760] Speed: 119.684924 samples/sec accuracy=59.749120 loss=1.690239 lr=0.007205 Epoch[167] Batch [3599]/[3760] Speed: 119.158044 samples/sec accuracy=59.713976 loss=1.691138 lr=0.007198 Epoch[167] Batch [3649]/[3760] Speed: 119.735063 samples/sec accuracy=59.705908 loss=1.692033 lr=0.007192 Epoch[167] Batch [3699]/[3760] Speed: 119.614343 samples/sec accuracy=59.713260 loss=1.692056 lr=0.007185 Epoch[167] Batch [3749]/[3760] Speed: 122.714881 samples/sec accuracy=59.711667 loss=1.691609 lr=0.007178 Batch [0049]/[0303]: acc-top1=57.312500 acc-top5=79.843750 Batch [0099]/[0303]: acc-top1=54.687500 acc-top5=79.421875 Batch [0149]/[0303]: acc-top1=56.093750 acc-top5=79.791667 Batch [0199]/[0303]: acc-top1=59.046875 acc-top5=81.609375 Batch [0249]/[0303]: acc-top1=58.281250 acc-top5=81.043750 Batch [0299]/[0303]: acc-top1=57.958333 acc-top5=81.098958 [Epoch 167] training: accuracy=59.714096 loss=1.691850 [Epoch 167] speed: 118 samples/sec time cost: 2140.585006 [Epoch 167] validation: acc-top1=57.956889 acc-top5=81.110767 loss=1.911261 Epoch[168] Batch [0049]/[3759] Speed: 89.100907 samples/sec accuracy=61.156250 loss=1.628685 lr=0.007170 Epoch[168] Batch [0099]/[3759] Speed: 119.314794 samples/sec accuracy=61.031250 loss=1.622377 lr=0.007164 Epoch[168] Batch [0149]/[3759] Speed: 119.665102 samples/sec accuracy=61.229167 loss=1.626237 lr=0.007157 Epoch[168] Batch [0199]/[3759] Speed: 119.336322 samples/sec accuracy=61.257812 loss=1.632898 lr=0.007150 Epoch[168] Batch [0249]/[3759] Speed: 119.467128 samples/sec accuracy=61.168750 loss=1.633113 lr=0.007144 Epoch[168] Batch [0299]/[3759] Speed: 119.837040 samples/sec accuracy=61.171875 loss=1.633820 lr=0.007137 Epoch[168] Batch [0349]/[3759] Speed: 116.967953 samples/sec accuracy=61.062500 loss=1.631454 lr=0.007130 Epoch[168] Batch [0399]/[3759] Speed: 119.309512 samples/sec accuracy=60.929687 loss=1.638968 lr=0.007124 Epoch[168] Batch [0449]/[3759] 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accuracy=60.663194 loss=1.651772 lr=0.007058 Epoch[168] Batch [0949]/[3759] Speed: 118.928205 samples/sec accuracy=60.593750 loss=1.653715 lr=0.007051 Epoch[168] Batch [0999]/[3759] Speed: 119.483460 samples/sec accuracy=60.623438 loss=1.652289 lr=0.007044 Epoch[168] Batch [1049]/[3759] Speed: 119.327430 samples/sec accuracy=60.641369 loss=1.652226 lr=0.007038 Epoch[168] Batch [1099]/[3759] Speed: 119.201619 samples/sec accuracy=60.681818 loss=1.649665 lr=0.007031 Epoch[168] Batch [1149]/[3759] Speed: 118.344714 samples/sec accuracy=60.608696 loss=1.651848 lr=0.007025 Epoch[168] Batch [1199]/[3759] Speed: 119.723780 samples/sec accuracy=60.632812 loss=1.651856 lr=0.007018 Epoch[168] Batch [1249]/[3759] Speed: 119.694557 samples/sec accuracy=60.631250 loss=1.652469 lr=0.007011 Epoch[168] Batch [1299]/[3759] Speed: 119.910360 samples/sec accuracy=60.633413 loss=1.652466 lr=0.007005 Epoch[168] Batch [1349]/[3759] Speed: 119.539028 samples/sec accuracy=60.622685 loss=1.653124 lr=0.006998 Epoch[168] Batch [1399]/[3759] Speed: 119.216055 samples/sec accuracy=60.541295 loss=1.656255 lr=0.006992 Epoch[168] Batch [1449]/[3759] Speed: 119.875037 samples/sec accuracy=60.523707 loss=1.656675 lr=0.006985 Epoch[168] Batch [1499]/[3759] Speed: 119.151252 samples/sec accuracy=60.533333 loss=1.655885 lr=0.006978 Epoch[168] Batch [1549]/[3759] Speed: 120.059328 samples/sec accuracy=60.522177 loss=1.655616 lr=0.006972 Epoch[168] Batch [1599]/[3759] Speed: 119.813131 samples/sec accuracy=60.545898 loss=1.654205 lr=0.006965 Epoch[168] Batch [1649]/[3759] Speed: 119.864820 samples/sec accuracy=60.496212 loss=1.655761 lr=0.006959 Epoch[168] Batch [1699]/[3759] Speed: 120.024596 samples/sec accuracy=60.432904 loss=1.657804 lr=0.006952 Epoch[168] Batch [1749]/[3759] Speed: 116.572306 samples/sec accuracy=60.420536 loss=1.657470 lr=0.006946 Epoch[168] Batch [1799]/[3759] Speed: 119.122011 samples/sec accuracy=60.447917 loss=1.656795 lr=0.006939 Epoch[168] Batch [1849]/[3759] Speed: 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loss=1.662494 lr=0.006874 Epoch[168] Batch [2349]/[3759] Speed: 119.008436 samples/sec accuracy=60.371011 loss=1.662106 lr=0.006867 Epoch[168] Batch [2399]/[3759] Speed: 119.375588 samples/sec accuracy=60.367839 loss=1.661655 lr=0.006861 Epoch[168] Batch [2449]/[3759] Speed: 119.668880 samples/sec accuracy=60.373724 loss=1.661378 lr=0.006854 Epoch[168] Batch [2499]/[3759] Speed: 119.328204 samples/sec accuracy=60.354375 loss=1.662223 lr=0.006848 Epoch[168] Batch [2549]/[3759] Speed: 119.153827 samples/sec accuracy=60.355392 loss=1.661871 lr=0.006841 Epoch[168] Batch [2599]/[3759] Speed: 120.634654 samples/sec accuracy=60.319712 loss=1.663771 lr=0.006835 Epoch[168] Batch [2649]/[3759] Speed: 119.404141 samples/sec accuracy=60.308962 loss=1.663631 lr=0.006828 Epoch[168] Batch [2699]/[3759] Speed: 119.746726 samples/sec accuracy=60.307870 loss=1.664561 lr=0.006822 Epoch[168] Batch [2749]/[3759] Speed: 119.562889 samples/sec accuracy=60.305682 loss=1.665124 lr=0.006815 Epoch[168] Batch 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accuracy=60.307692 loss=1.665342 lr=0.006750 Epoch[168] Batch [3299]/[3759] Speed: 119.799386 samples/sec accuracy=60.332386 loss=1.664771 lr=0.006744 Epoch[168] Batch [3349]/[3759] Speed: 119.739743 samples/sec accuracy=60.321828 loss=1.665328 lr=0.006737 Epoch[168] Batch [3399]/[3759] Speed: 119.716580 samples/sec accuracy=60.335478 loss=1.664651 lr=0.006731 Epoch[168] Batch [3449]/[3759] Speed: 119.343029 samples/sec accuracy=60.326087 loss=1.664483 lr=0.006724 Epoch[168] Batch [3499]/[3759] Speed: 119.168027 samples/sec accuracy=60.321429 loss=1.664372 lr=0.006718 Epoch[168] Batch [3549]/[3759] Speed: 118.819592 samples/sec accuracy=60.297095 loss=1.665236 lr=0.006711 Epoch[168] Batch [3599]/[3759] Speed: 119.855290 samples/sec accuracy=60.299913 loss=1.665199 lr=0.006705 Epoch[168] Batch [3649]/[3759] Speed: 119.283100 samples/sec accuracy=60.299229 loss=1.665553 lr=0.006698 Epoch[168] Batch [3699]/[3759] Speed: 120.035738 samples/sec accuracy=60.308699 loss=1.665302 lr=0.006692 Epoch[168] Batch [3749]/[3759] Speed: 123.615132 samples/sec accuracy=60.305833 loss=1.665138 lr=0.006686 Batch [0049]/[0303]: acc-top1=58.375000 acc-top5=81.093750 Batch [0099]/[0303]: acc-top1=55.687500 acc-top5=80.234375 Batch [0149]/[0303]: acc-top1=57.364583 acc-top5=80.708333 Batch [0199]/[0303]: acc-top1=59.796875 acc-top5=81.890625 Batch [0249]/[0303]: acc-top1=59.275000 acc-top5=81.593750 Batch [0299]/[0303]: acc-top1=58.526042 acc-top5=81.505208 [Epoch 168] training: accuracy=60.305683 loss=1.665148 [Epoch 168] speed: 118 samples/sec time cost: 2141.335859 [Epoch 168] validation: acc-top1=58.488036 acc-top5=81.518152 loss=1.891221 Epoch[169] Batch [0049]/[3760] Speed: 88.396905 samples/sec accuracy=61.812500 loss=1.584484 lr=0.006678 Epoch[169] Batch [0099]/[3760] Speed: 119.667197 samples/sec accuracy=61.375000 loss=1.615805 lr=0.006672 Epoch[169] Batch [0149]/[3760] Speed: 119.360094 samples/sec accuracy=60.697917 loss=1.637796 lr=0.006665 Epoch[169] Batch [0199]/[3760] Speed: 119.595386 samples/sec accuracy=60.914062 loss=1.628095 lr=0.006659 Epoch[169] Batch [0249]/[3760] Speed: 120.143771 samples/sec accuracy=60.718750 loss=1.632130 lr=0.006652 Epoch[169] Batch [0299]/[3760] Speed: 119.678944 samples/sec accuracy=60.770833 loss=1.633008 lr=0.006646 Epoch[169] Batch [0349]/[3760] Speed: 119.914717 samples/sec accuracy=60.607143 loss=1.636791 lr=0.006639 Epoch[169] Batch [0399]/[3760] Speed: 119.121057 samples/sec accuracy=60.671875 loss=1.634932 lr=0.006633 Epoch[169] Batch [0449]/[3760] Speed: 119.612535 samples/sec accuracy=60.781250 loss=1.631694 lr=0.006627 Epoch[169] Batch [0499]/[3760] Speed: 119.264835 samples/sec accuracy=60.909375 loss=1.624586 lr=0.006620 Epoch[169] Batch [0549]/[3760] Speed: 119.968139 samples/sec accuracy=60.971591 loss=1.624103 lr=0.006614 Epoch[169] Batch [0599]/[3760] Speed: 119.571682 samples/sec accuracy=60.947917 loss=1.624530 lr=0.006607 Epoch[169] Batch [0649]/[3760] Speed: 120.016447 samples/sec accuracy=60.882212 loss=1.627279 lr=0.006601 Epoch[169] Batch [0699]/[3760] Speed: 119.780813 samples/sec accuracy=60.859375 loss=1.628232 lr=0.006595 Epoch[169] Batch [0749]/[3760] Speed: 119.302395 samples/sec accuracy=60.816667 loss=1.630545 lr=0.006588 Epoch[169] Batch [0799]/[3760] Speed: 119.658279 samples/sec accuracy=60.810547 loss=1.631192 lr=0.006582 Epoch[169] Batch [0849]/[3760] Speed: 119.832101 samples/sec accuracy=60.814338 loss=1.632659 lr=0.006575 Epoch[169] Batch [0899]/[3760] Speed: 119.832347 samples/sec accuracy=60.845486 loss=1.632124 lr=0.006569 Epoch[169] Batch [0949]/[3760] Speed: 116.334366 samples/sec accuracy=60.850329 loss=1.632888 lr=0.006563 Epoch[169] Batch [0999]/[3760] Speed: 119.367446 samples/sec accuracy=60.834375 loss=1.632636 lr=0.006556 Epoch[169] Batch [1049]/[3760] Speed: 119.411050 samples/sec accuracy=60.766369 loss=1.633632 lr=0.006550 Epoch[169] Batch [1099]/[3760] Speed: 119.127167 samples/sec accuracy=60.755682 loss=1.635002 lr=0.006543 Epoch[169] Batch [1149]/[3760] Speed: 119.294343 samples/sec accuracy=60.756793 loss=1.635931 lr=0.006537 Epoch[169] Batch [1199]/[3760] Speed: 119.624991 samples/sec accuracy=60.787760 loss=1.634800 lr=0.006531 Epoch[169] Batch [1249]/[3760] Speed: 119.673541 samples/sec accuracy=60.788750 loss=1.634370 lr=0.006524 Epoch[169] Batch [1299]/[3760] Speed: 120.221878 samples/sec accuracy=60.790865 loss=1.634494 lr=0.006518 Epoch[169] Batch [1349]/[3760] Speed: 119.531542 samples/sec accuracy=60.739583 loss=1.635989 lr=0.006512 Epoch[169] Batch [1399]/[3760] Speed: 119.624478 samples/sec accuracy=60.724330 loss=1.637726 lr=0.006505 Epoch[169] Batch [1449]/[3760] Speed: 119.884116 samples/sec accuracy=60.709052 loss=1.638091 lr=0.006499 Epoch[169] Batch [1499]/[3760] Speed: 119.236577 samples/sec accuracy=60.672917 loss=1.640499 lr=0.006492 Epoch[169] Batch [1549]/[3760] Speed: 119.682040 samples/sec accuracy=60.685484 loss=1.640100 lr=0.006486 Epoch[169] Batch [1599]/[3760] Speed: 119.385112 samples/sec accuracy=60.682617 loss=1.640349 lr=0.006480 Epoch[169] Batch [1649]/[3760] Speed: 120.434022 samples/sec accuracy=60.715909 loss=1.639076 lr=0.006473 Epoch[169] Batch [1699]/[3760] Speed: 119.471244 samples/sec accuracy=60.738051 loss=1.639586 lr=0.006467 Epoch[169] Batch [1749]/[3760] Speed: 119.416235 samples/sec accuracy=60.739286 loss=1.638791 lr=0.006461 Epoch[169] Batch [1799]/[3760] Speed: 120.010207 samples/sec accuracy=60.743056 loss=1.638451 lr=0.006454 Epoch[169] Batch [1849]/[3760] Speed: 118.984757 samples/sec accuracy=60.770270 loss=1.637236 lr=0.006448 Epoch[169] Batch [1899]/[3760] Speed: 119.318380 samples/sec accuracy=60.738487 loss=1.639344 lr=0.006442 Epoch[169] Batch [1949]/[3760] Speed: 119.763616 samples/sec accuracy=60.729167 loss=1.639928 lr=0.006435 Epoch[169] Batch [1999]/[3760] Speed: 118.672665 samples/sec accuracy=60.699219 loss=1.640920 lr=0.006429 Epoch[169] Batch [2049]/[3760] Speed: 119.251925 samples/sec accuracy=60.724085 loss=1.640906 lr=0.006423 Epoch[169] Batch [2099]/[3760] Speed: 119.786788 samples/sec accuracy=60.734375 loss=1.640685 lr=0.006416 Epoch[169] Batch [2149]/[3760] Speed: 120.718070 samples/sec accuracy=60.743459 loss=1.639459 lr=0.006410 Epoch[169] Batch [2199]/[3760] Speed: 119.134843 samples/sec accuracy=60.735795 loss=1.640125 lr=0.006404 Epoch[169] Batch [2249]/[3760] Speed: 119.446880 samples/sec accuracy=60.733333 loss=1.640220 lr=0.006397 Epoch[169] Batch [2299]/[3760] Speed: 120.059051 samples/sec accuracy=60.752717 loss=1.639727 lr=0.006391 Epoch[169] Batch [2349]/[3760] Speed: 116.778932 samples/sec accuracy=60.744016 loss=1.640112 lr=0.006385 Epoch[169] Batch [2399]/[3760] Speed: 118.914153 samples/sec accuracy=60.739583 loss=1.640756 lr=0.006379 Epoch[169] Batch [2449]/[3760] Speed: 119.676313 samples/sec accuracy=60.758291 loss=1.640699 lr=0.006372 Epoch[169] Batch [2499]/[3760] Speed: 119.607793 samples/sec accuracy=60.756875 loss=1.640540 lr=0.006366 Epoch[169] Batch [2549]/[3760] Speed: 119.587330 samples/sec accuracy=60.750000 loss=1.640842 lr=0.006360 Epoch[169] Batch [2599]/[3760] Speed: 119.669851 samples/sec accuracy=60.736178 loss=1.641071 lr=0.006353 Epoch[169] Batch [2649]/[3760] Speed: 119.600808 samples/sec accuracy=60.753538 loss=1.640632 lr=0.006347 Epoch[169] Batch [2699]/[3760] Speed: 118.943767 samples/sec accuracy=60.756944 loss=1.640455 lr=0.006341 Epoch[169] Batch [2749]/[3760] Speed: 119.048888 samples/sec accuracy=60.759091 loss=1.640308 lr=0.006334 Epoch[169] Batch [2799]/[3760] Speed: 119.072747 samples/sec accuracy=60.750558 loss=1.640516 lr=0.006328 Epoch[169] Batch [2849]/[3760] Speed: 119.187347 samples/sec accuracy=60.755482 loss=1.640512 lr=0.006322 Epoch[169] Batch [2899]/[3760] Speed: 119.524512 samples/sec accuracy=60.757543 loss=1.640498 lr=0.006316 Epoch[169] Batch [2949]/[3760] Speed: 119.338837 samples/sec accuracy=60.763242 loss=1.639681 lr=0.006309 Epoch[169] Batch [2999]/[3760] Speed: 119.846293 samples/sec accuracy=60.775000 loss=1.639187 lr=0.006303 Epoch[169] Batch [3049]/[3760] Speed: 118.770319 samples/sec accuracy=60.790471 loss=1.638774 lr=0.006297 Epoch[169] Batch [3099]/[3760] Speed: 119.387928 samples/sec accuracy=60.775202 loss=1.638945 lr=0.006291 Epoch[169] Batch [3149]/[3760] Speed: 118.762052 samples/sec accuracy=60.774802 loss=1.639078 lr=0.006284 Epoch[169] Batch [3199]/[3760] Speed: 119.721101 samples/sec accuracy=60.759766 loss=1.639061 lr=0.006278 Epoch[169] Batch [3249]/[3760] Speed: 119.651310 samples/sec accuracy=60.766827 loss=1.638829 lr=0.006272 Epoch[169] Batch [3299]/[3760] Speed: 119.324166 samples/sec accuracy=60.778409 loss=1.638474 lr=0.006266 Epoch[169] Batch [3349]/[3760] Speed: 119.553053 samples/sec accuracy=60.761194 loss=1.639091 lr=0.006259 Epoch[169] Batch [3399]/[3760] Speed: 119.538604 samples/sec accuracy=60.749081 loss=1.639281 lr=0.006253 Epoch[169] Batch [3449]/[3760] Speed: 120.103370 samples/sec accuracy=60.740942 loss=1.639720 lr=0.006247 Epoch[169] Batch [3499]/[3760] Speed: 118.562753 samples/sec accuracy=60.721875 loss=1.640618 lr=0.006241 Epoch[169] Batch [3549]/[3760] Speed: 120.024051 samples/sec accuracy=60.716989 loss=1.641140 lr=0.006234 Epoch[169] Batch [3599]/[3760] Speed: 119.478367 samples/sec accuracy=60.714844 loss=1.641192 lr=0.006228 Epoch[169] Batch [3649]/[3760] Speed: 120.069329 samples/sec accuracy=60.732449 loss=1.640784 lr=0.006222 Epoch[169] Batch [3699]/[3760] Speed: 119.815438 samples/sec accuracy=60.724240 loss=1.641268 lr=0.006216 Epoch[169] Batch [3749]/[3760] Speed: 123.595051 samples/sec accuracy=60.713333 loss=1.641738 lr=0.006209 Batch [0049]/[0303]: acc-top1=58.312500 acc-top5=80.156250 Batch [0099]/[0303]: acc-top1=56.000000 acc-top5=79.937500 Batch [0149]/[0303]: acc-top1=57.833333 acc-top5=81.052083 Batch [0199]/[0303]: acc-top1=60.359375 acc-top5=82.195312 Batch [0249]/[0303]: acc-top1=59.700000 acc-top5=81.743750 Batch [0299]/[0303]: acc-top1=59.328125 acc-top5=81.687500 [Epoch 169] training: accuracy=60.711436 loss=1.641753 [Epoch 169] speed: 118 samples/sec time cost: 2139.962109 [Epoch 169] validation: acc-top1=59.240924 acc-top5=81.719266 loss=1.855468 Epoch[170] Batch [0049]/[3760] Speed: 88.098207 samples/sec accuracy=62.562500 loss=1.602399 lr=0.006202 Epoch[170] Batch [0099]/[3760] Speed: 120.696175 samples/sec accuracy=62.312500 loss=1.599429 lr=0.006196 Epoch[170] Batch [0149]/[3760] Speed: 120.014918 samples/sec accuracy=62.302083 loss=1.598486 lr=0.006189 Epoch[170] Batch [0199]/[3760] Speed: 120.195589 samples/sec accuracy=62.125000 loss=1.601082 lr=0.006183 Epoch[170] Batch [0249]/[3760] Speed: 119.352199 samples/sec accuracy=62.143750 loss=1.596657 lr=0.006177 Epoch[170] Batch [0299]/[3760] Speed: 119.426076 samples/sec accuracy=62.140625 loss=1.594525 lr=0.006171 Epoch[170] Batch [0349]/[3760] Speed: 119.830987 samples/sec accuracy=62.209821 loss=1.592028 lr=0.006165 Epoch[170] Batch [0399]/[3760] Speed: 120.250789 samples/sec accuracy=62.203125 loss=1.591495 lr=0.006158 Epoch[170] Batch [0449]/[3760] Speed: 119.937836 samples/sec accuracy=62.138889 loss=1.592968 lr=0.006152 Epoch[170] Batch [0499]/[3760] Speed: 119.545869 samples/sec accuracy=62.034375 loss=1.598208 lr=0.006146 Epoch[170] Batch [0549]/[3760] Speed: 119.589995 samples/sec accuracy=61.965909 loss=1.599540 lr=0.006140 Epoch[170] Batch [0599]/[3760] Speed: 119.372127 samples/sec accuracy=61.984375 loss=1.595609 lr=0.006134 Epoch[170] Batch [0649]/[3760] Speed: 119.943870 samples/sec accuracy=62.064904 loss=1.591365 lr=0.006127 Epoch[170] Batch [0699]/[3760] Speed: 120.013008 samples/sec accuracy=61.977679 loss=1.592462 lr=0.006121 Epoch[170] Batch [0749]/[3760] Speed: 119.297594 samples/sec accuracy=61.950000 loss=1.594852 lr=0.006115 Epoch[170] Batch [0799]/[3760] Speed: 118.968716 samples/sec accuracy=61.931641 loss=1.594550 lr=0.006109 Epoch[170] Batch [0849]/[3760] Speed: 119.580271 samples/sec accuracy=61.895221 loss=1.595828 lr=0.006103 Epoch[170] Batch [0899]/[3760] Speed: 120.506011 samples/sec accuracy=61.876736 loss=1.596881 lr=0.006097 Epoch[170] Batch [0949]/[3760] Speed: 119.331977 samples/sec accuracy=61.904605 loss=1.596424 lr=0.006090 Epoch[170] Batch [0999]/[3760] Speed: 119.118849 samples/sec accuracy=61.904688 loss=1.598607 lr=0.006084 Epoch[170] Batch [1049]/[3760] Speed: 119.396823 samples/sec accuracy=61.903274 loss=1.598590 lr=0.006078 Epoch[170] Batch [1099]/[3760] Speed: 119.237945 samples/sec accuracy=61.865057 loss=1.599718 lr=0.006072 Epoch[170] Batch [1149]/[3760] Speed: 119.382437 samples/sec accuracy=61.846467 loss=1.598576 lr=0.006066 Epoch[170] Batch [1199]/[3760] Speed: 119.327867 samples/sec accuracy=61.763021 loss=1.600681 lr=0.006060 Epoch[170] Batch [1249]/[3760] Speed: 119.578697 samples/sec accuracy=61.787500 loss=1.600137 lr=0.006053 Epoch[170] Batch [1299]/[3760] Speed: 118.811094 samples/sec accuracy=61.754808 loss=1.600985 lr=0.006047 Epoch[170] Batch [1349]/[3760] Speed: 119.883512 samples/sec accuracy=61.759259 loss=1.599940 lr=0.006041 Epoch[170] Batch [1399]/[3760] Speed: 119.876876 samples/sec accuracy=61.757812 loss=1.599848 lr=0.006035 Epoch[170] Batch [1449]/[3760] Speed: 116.606364 samples/sec accuracy=61.766164 loss=1.599388 lr=0.006029 Epoch[170] Batch [1499]/[3760] Speed: 119.782855 samples/sec accuracy=61.753125 loss=1.599297 lr=0.006023 Epoch[170] Batch [1549]/[3760] Speed: 120.142143 samples/sec accuracy=61.755040 loss=1.599569 lr=0.006017 Epoch[170] Batch [1599]/[3760] Speed: 119.864373 samples/sec accuracy=61.716797 loss=1.601977 lr=0.006010 Epoch[170] Batch [1649]/[3760] Speed: 119.473718 samples/sec accuracy=61.698864 loss=1.601987 lr=0.006004 Epoch[170] Batch [1699]/[3760] Speed: 119.634402 samples/sec accuracy=61.683824 loss=1.603017 lr=0.005998 Epoch[170] Batch [1749]/[3760] Speed: 119.176888 samples/sec accuracy=61.659821 loss=1.604077 lr=0.005992 Epoch[170] Batch [1799]/[3760] Speed: 120.125636 samples/sec accuracy=61.664931 loss=1.603324 lr=0.005986 Epoch[170] Batch [1849]/[3760] Speed: 119.544347 samples/sec accuracy=61.629223 loss=1.605818 lr=0.005980 Epoch[170] Batch [1899]/[3760] Speed: 119.805272 samples/sec accuracy=61.593750 loss=1.606432 lr=0.005974 Epoch[170] Batch [1949]/[3760] Speed: 119.247855 samples/sec accuracy=61.593750 loss=1.606503 lr=0.005968 Epoch[170] Batch [1999]/[3760] Speed: 119.598264 samples/sec accuracy=61.574219 loss=1.606421 lr=0.005962 Epoch[170] Batch [2049]/[3760] Speed: 119.945884 samples/sec accuracy=61.620427 loss=1.603653 lr=0.005955 Epoch[170] Batch [2099]/[3760] Speed: 118.562362 samples/sec accuracy=61.578869 loss=1.603477 lr=0.005949 Epoch[170] Batch [2149]/[3760] Speed: 119.911751 samples/sec accuracy=61.587209 loss=1.603310 lr=0.005943 Epoch[170] Batch [2199]/[3760] Speed: 119.555848 samples/sec accuracy=61.577415 loss=1.603874 lr=0.005937 Epoch[170] Batch [2249]/[3760] Speed: 119.942937 samples/sec accuracy=61.577778 loss=1.604691 lr=0.005931 Epoch[170] Batch 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accuracy=61.501705 loss=1.608442 lr=0.005870 Epoch[170] Batch [2799]/[3760] Speed: 119.027646 samples/sec accuracy=61.462612 loss=1.610063 lr=0.005864 Epoch[170] Batch [2849]/[3760] Speed: 119.346024 samples/sec accuracy=61.449013 loss=1.610199 lr=0.005858 Epoch[170] Batch [2899]/[3760] Speed: 119.686868 samples/sec accuracy=61.450970 loss=1.610566 lr=0.005852 Epoch[170] Batch [2949]/[3760] Speed: 118.935757 samples/sec accuracy=61.429555 loss=1.611161 lr=0.005846 Epoch[170] Batch [2999]/[3760] Speed: 117.144164 samples/sec accuracy=61.430729 loss=1.611609 lr=0.005840 Epoch[170] Batch [3049]/[3760] Speed: 119.443157 samples/sec accuracy=61.412398 loss=1.612334 lr=0.005834 Epoch[170] Batch [3099]/[3760] Speed: 119.401497 samples/sec accuracy=61.407258 loss=1.612269 lr=0.005828 Epoch[170] Batch [3149]/[3760] Speed: 119.570608 samples/sec accuracy=61.383433 loss=1.613250 lr=0.005822 Epoch[170] Batch [3199]/[3760] Speed: 119.718082 samples/sec accuracy=61.399902 loss=1.612224 lr=0.005816 Epoch[170] Batch [3249]/[3760] Speed: 119.581217 samples/sec accuracy=61.393750 loss=1.612427 lr=0.005810 Epoch[170] Batch [3299]/[3760] Speed: 119.325009 samples/sec accuracy=61.382102 loss=1.613240 lr=0.005804 Epoch[170] Batch [3349]/[3760] Speed: 120.100266 samples/sec accuracy=61.372201 loss=1.613426 lr=0.005798 Epoch[170] Batch [3399]/[3760] Speed: 120.154811 samples/sec accuracy=61.375919 loss=1.612992 lr=0.005792 Epoch[170] Batch [3449]/[3760] Speed: 119.498352 samples/sec accuracy=61.337862 loss=1.614416 lr=0.005786 Epoch[170] Batch [3499]/[3760] Speed: 119.807876 samples/sec accuracy=61.353125 loss=1.614038 lr=0.005780 Epoch[170] Batch [3549]/[3760] Speed: 119.783079 samples/sec accuracy=61.347271 loss=1.614283 lr=0.005774 Epoch[170] Batch [3599]/[3760] Speed: 119.151630 samples/sec accuracy=61.337240 loss=1.614517 lr=0.005768 Epoch[170] Batch [3649]/[3760] Speed: 120.454143 samples/sec accuracy=61.339041 loss=1.614573 lr=0.005762 Epoch[170] Batch [3699]/[3760] Speed: 119.432961 samples/sec accuracy=61.343328 loss=1.614488 lr=0.005756 Epoch[170] Batch [3749]/[3760] Speed: 122.965137 samples/sec accuracy=61.371250 loss=1.613491 lr=0.005750 Batch [0049]/[0303]: acc-top1=58.468750 acc-top5=80.875000 Batch [0099]/[0303]: acc-top1=56.015625 acc-top5=79.906250 Batch [0149]/[0303]: acc-top1=58.125000 acc-top5=80.697917 Batch [0199]/[0303]: acc-top1=60.531250 acc-top5=82.289062 Batch [0249]/[0303]: acc-top1=60.100000 acc-top5=82.225000 Batch [0299]/[0303]: acc-top1=59.427083 acc-top5=82.135417 [Epoch 170] training: accuracy=61.362201 loss=1.613677 [Epoch 170] speed: 118 samples/sec time cost: 2139.577507 [Epoch 170] validation: acc-top1=59.344059 acc-top5=82.131807 loss=1.854009 Epoch[171] Batch [0049]/[3759] Speed: 90.231539 samples/sec accuracy=62.781250 loss=1.590350 lr=0.005742 Epoch[171] Batch [0099]/[3759] Speed: 119.859949 samples/sec accuracy=63.171875 loss=1.548695 lr=0.005736 Epoch[171] Batch [0149]/[3759] Speed: 119.229176 samples/sec accuracy=62.822917 loss=1.560116 lr=0.005730 Epoch[171] Batch [0199]/[3759] Speed: 119.250909 samples/sec accuracy=62.453125 loss=1.571745 lr=0.005724 Epoch[171] Batch [0249]/[3759] Speed: 119.892226 samples/sec accuracy=62.106250 loss=1.584026 lr=0.005718 Epoch[171] Batch [0299]/[3759] Speed: 119.679803 samples/sec accuracy=62.083333 loss=1.582812 lr=0.005712 Epoch[171] Batch [0349]/[3759] Speed: 119.353615 samples/sec accuracy=62.165179 loss=1.574683 lr=0.005706 Epoch[171] Batch [0399]/[3759] Speed: 119.528938 samples/sec accuracy=62.113281 loss=1.574560 lr=0.005700 Epoch[171] Batch [0449]/[3759] Speed: 119.652853 samples/sec accuracy=62.076389 loss=1.575347 lr=0.005694 Epoch[171] Batch [0499]/[3759] Speed: 119.157552 samples/sec accuracy=61.978125 loss=1.578253 lr=0.005688 Epoch[171] Batch [0549]/[3759] Speed: 119.323564 samples/sec accuracy=61.991477 loss=1.580220 lr=0.005682 Epoch[171] Batch [0599]/[3759] Speed: 117.086642 samples/sec accuracy=62.013021 loss=1.579578 lr=0.005677 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loss=1.582294 lr=0.005564 Epoch[171] Batch [1599]/[3759] Speed: 119.777549 samples/sec accuracy=62.018555 loss=1.584469 lr=0.005558 Epoch[171] Batch [1649]/[3759] Speed: 119.179707 samples/sec accuracy=61.944129 loss=1.587620 lr=0.005552 Epoch[171] Batch [1699]/[3759] Speed: 119.263642 samples/sec accuracy=61.966912 loss=1.586200 lr=0.005546 Epoch[171] Batch [1749]/[3759] Speed: 119.005658 samples/sec accuracy=61.938393 loss=1.586588 lr=0.005540 Epoch[171] Batch [1799]/[3759] Speed: 119.660038 samples/sec accuracy=61.962674 loss=1.585386 lr=0.005534 Epoch[171] Batch [1849]/[3759] Speed: 119.697044 samples/sec accuracy=61.950169 loss=1.585441 lr=0.005528 Epoch[171] Batch [1899]/[3759] Speed: 120.141535 samples/sec accuracy=61.947368 loss=1.586255 lr=0.005522 Epoch[171] Batch [1949]/[3759] Speed: 119.777356 samples/sec accuracy=61.990385 loss=1.585952 lr=0.005516 Epoch[171] Batch [1999]/[3759] Speed: 119.409076 samples/sec accuracy=61.996875 loss=1.585789 lr=0.005511 Epoch[171] Batch 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accuracy=61.881250 loss=1.589429 lr=0.005452 Epoch[171] Batch [2549]/[3759] Speed: 119.538803 samples/sec accuracy=61.882966 loss=1.588947 lr=0.005446 Epoch[171] Batch [2599]/[3759] Speed: 119.671319 samples/sec accuracy=61.892428 loss=1.588111 lr=0.005440 Epoch[171] Batch [2649]/[3759] Speed: 118.832323 samples/sec accuracy=61.909198 loss=1.587795 lr=0.005434 Epoch[171] Batch [2699]/[3759] Speed: 119.787855 samples/sec accuracy=61.906250 loss=1.587188 lr=0.005428 Epoch[171] Batch [2749]/[3759] Speed: 119.177928 samples/sec accuracy=61.893750 loss=1.587841 lr=0.005423 Epoch[171] Batch [2799]/[3759] Speed: 118.912379 samples/sec accuracy=61.917411 loss=1.587195 lr=0.005417 Epoch[171] Batch [2849]/[3759] Speed: 119.896194 samples/sec accuracy=61.889254 loss=1.588220 lr=0.005411 Epoch[171] Batch [2899]/[3759] Speed: 119.628980 samples/sec accuracy=61.884159 loss=1.588232 lr=0.005405 Epoch[171] Batch [2949]/[3759] Speed: 119.126220 samples/sec accuracy=61.890890 loss=1.588316 lr=0.005399 Epoch[171] Batch [2999]/[3759] Speed: 120.022771 samples/sec accuracy=61.911979 loss=1.587688 lr=0.005393 Epoch[171] Batch [3049]/[3759] Speed: 118.987307 samples/sec accuracy=61.905225 loss=1.587368 lr=0.005388 Epoch[171] Batch [3099]/[3759] Speed: 119.505745 samples/sec accuracy=61.903226 loss=1.587791 lr=0.005382 Epoch[171] Batch [3149]/[3759] Speed: 120.095967 samples/sec accuracy=61.919147 loss=1.587531 lr=0.005376 Epoch[171] Batch [3199]/[3759] Speed: 119.466080 samples/sec accuracy=61.925293 loss=1.587376 lr=0.005370 Epoch[171] Batch [3249]/[3759] Speed: 119.362115 samples/sec accuracy=61.905288 loss=1.587156 lr=0.005364 Epoch[171] Batch [3299]/[3759] Speed: 120.341446 samples/sec accuracy=61.919981 loss=1.586378 lr=0.005359 Epoch[171] Batch [3349]/[3759] Speed: 119.683736 samples/sec accuracy=61.923507 loss=1.586395 lr=0.005353 Epoch[171] Batch [3399]/[3759] Speed: 119.242492 samples/sec accuracy=61.934743 loss=1.586551 lr=0.005347 Epoch[171] Batch [3449]/[3759] Speed: 120.293833 samples/sec accuracy=61.920290 loss=1.587199 lr=0.005341 Epoch[171] Batch [3499]/[3759] Speed: 119.028057 samples/sec accuracy=61.908482 loss=1.587538 lr=0.005335 Epoch[171] Batch [3549]/[3759] Speed: 117.403496 samples/sec accuracy=61.919014 loss=1.587429 lr=0.005330 Epoch[171] Batch [3599]/[3759] Speed: 119.202201 samples/sec accuracy=61.916233 loss=1.587584 lr=0.005324 Epoch[171] Batch [3649]/[3759] Speed: 119.936937 samples/sec accuracy=61.905394 loss=1.588279 lr=0.005318 Epoch[171] Batch [3699]/[3759] Speed: 119.897275 samples/sec accuracy=61.895693 loss=1.588848 lr=0.005312 Epoch[171] Batch [3749]/[3759] Speed: 123.149673 samples/sec accuracy=61.902917 loss=1.588745 lr=0.005306 Batch [0049]/[0303]: acc-top1=59.312500 acc-top5=81.250000 Batch [0099]/[0303]: acc-top1=56.531250 acc-top5=80.046875 Batch [0149]/[0303]: acc-top1=57.864583 acc-top5=80.708333 Batch [0199]/[0303]: acc-top1=60.351562 acc-top5=81.906250 Batch [0249]/[0303]: acc-top1=59.937500 acc-top5=81.743750 Batch [0299]/[0303]: acc-top1=59.515625 acc-top5=81.833333 [Epoch 171] training: accuracy=61.908087 loss=1.588488 [Epoch 171] speed: 118 samples/sec time cost: 2140.092912 [Epoch 171] validation: acc-top1=59.509076 acc-top5=81.837871 loss=1.849611 Epoch[172] Batch [0049]/[3760] Speed: 89.478461 samples/sec accuracy=63.250000 loss=1.543596 lr=0.005300 Epoch[172] Batch [0099]/[3760] Speed: 120.013470 samples/sec accuracy=62.671875 loss=1.546053 lr=0.005294 Epoch[172] Batch [0149]/[3760] Speed: 119.688708 samples/sec accuracy=63.260417 loss=1.528474 lr=0.005288 Epoch[172] Batch [0199]/[3760] Speed: 120.692671 samples/sec accuracy=63.148438 loss=1.523143 lr=0.005282 Epoch[172] Batch [0249]/[3760] Speed: 119.928359 samples/sec accuracy=62.812500 loss=1.532805 lr=0.005276 Epoch[172] Batch [0299]/[3760] Speed: 119.868116 samples/sec accuracy=62.807292 loss=1.535496 lr=0.005271 Epoch[172] Batch [0349]/[3760] Speed: 120.016928 samples/sec accuracy=62.799107 loss=1.539801 lr=0.005265 Epoch[172] 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lr=0.005156 Epoch[172] Batch [1349]/[3760] Speed: 119.610538 samples/sec accuracy=62.667824 loss=1.549653 lr=0.005150 Epoch[172] Batch [1399]/[3760] Speed: 119.374670 samples/sec accuracy=62.639509 loss=1.552158 lr=0.005145 Epoch[172] Batch [1449]/[3760] Speed: 119.373293 samples/sec accuracy=62.634698 loss=1.552879 lr=0.005139 Epoch[172] Batch [1499]/[3760] Speed: 118.595725 samples/sec accuracy=62.609375 loss=1.554634 lr=0.005133 Epoch[172] Batch [1549]/[3760] Speed: 118.937651 samples/sec accuracy=62.618952 loss=1.553748 lr=0.005128 Epoch[172] Batch [1599]/[3760] Speed: 120.041012 samples/sec accuracy=62.617188 loss=1.553177 lr=0.005122 Epoch[172] Batch [1649]/[3760] Speed: 118.980326 samples/sec accuracy=62.612689 loss=1.552955 lr=0.005116 Epoch[172] Batch [1699]/[3760] Speed: 120.234577 samples/sec accuracy=62.621324 loss=1.554535 lr=0.005110 Epoch[172] Batch [1749]/[3760] Speed: 119.186215 samples/sec accuracy=62.658036 loss=1.554015 lr=0.005105 Epoch[172] Batch [1799]/[3760] 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accuracy=62.488889 loss=1.558762 lr=0.005048 Epoch[172] Batch [2299]/[3760] Speed: 120.565841 samples/sec accuracy=62.519022 loss=1.557807 lr=0.005043 Epoch[172] Batch [2349]/[3760] Speed: 119.682192 samples/sec accuracy=62.517287 loss=1.558530 lr=0.005037 Epoch[172] Batch [2399]/[3760] Speed: 119.666852 samples/sec accuracy=62.513021 loss=1.559291 lr=0.005031 Epoch[172] Batch [2449]/[3760] Speed: 118.815386 samples/sec accuracy=62.519133 loss=1.558478 lr=0.005026 Epoch[172] Batch [2499]/[3760] Speed: 119.948044 samples/sec accuracy=62.524375 loss=1.558247 lr=0.005020 Epoch[172] Batch [2549]/[3760] Speed: 120.240627 samples/sec accuracy=62.518995 loss=1.558616 lr=0.005014 Epoch[172] Batch [2599]/[3760] Speed: 119.170172 samples/sec accuracy=62.550481 loss=1.557851 lr=0.005009 Epoch[172] Batch [2649]/[3760] Speed: 119.391539 samples/sec accuracy=62.553066 loss=1.557751 lr=0.005003 Epoch[172] Batch [2699]/[3760] Speed: 117.081534 samples/sec accuracy=62.530093 loss=1.558815 lr=0.004997 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120.355990 samples/sec accuracy=62.497070 loss=1.560214 lr=0.004941 Epoch[172] Batch [3249]/[3760] Speed: 119.372081 samples/sec accuracy=62.487981 loss=1.560741 lr=0.004936 Epoch[172] Batch [3299]/[3760] Speed: 119.216515 samples/sec accuracy=62.464962 loss=1.561300 lr=0.004930 Epoch[172] Batch [3349]/[3760] Speed: 119.688077 samples/sec accuracy=62.486940 loss=1.560827 lr=0.004925 Epoch[172] Batch [3399]/[3760] Speed: 119.521143 samples/sec accuracy=62.471507 loss=1.561169 lr=0.004919 Epoch[172] Batch [3449]/[3760] Speed: 119.423973 samples/sec accuracy=62.479620 loss=1.561439 lr=0.004913 Epoch[172] Batch [3499]/[3760] Speed: 119.653068 samples/sec accuracy=62.476339 loss=1.561778 lr=0.004908 Epoch[172] Batch [3549]/[3760] Speed: 120.141942 samples/sec accuracy=62.473592 loss=1.561705 lr=0.004902 Epoch[172] Batch [3599]/[3760] Speed: 119.963317 samples/sec accuracy=62.466146 loss=1.562152 lr=0.004897 Epoch[172] Batch [3649]/[3760] Speed: 119.373014 samples/sec accuracy=62.445634 loss=1.562730 lr=0.004891 Epoch[172] Batch [3699]/[3760] Speed: 119.125191 samples/sec accuracy=62.425253 loss=1.563277 lr=0.004886 Epoch[172] Batch [3749]/[3760] Speed: 123.130822 samples/sec accuracy=62.452500 loss=1.562347 lr=0.004880 Batch [0049]/[0303]: acc-top1=60.468750 acc-top5=81.968750 Batch [0099]/[0303]: acc-top1=57.312500 acc-top5=81.187500 Batch [0149]/[0303]: acc-top1=59.218750 acc-top5=81.885417 Batch [0199]/[0303]: acc-top1=61.640625 acc-top5=82.984375 Batch [0249]/[0303]: acc-top1=61.281250 acc-top5=82.756250 Batch [0299]/[0303]: acc-top1=60.687500 acc-top5=82.671875 [Epoch 172] training: accuracy=62.452211 loss=1.562451 [Epoch 172] speed: 119 samples/sec time cost: 2138.026470 [Epoch 172] validation: acc-top1=60.602310 acc-top5=82.626856 loss=1.806319 Epoch[173] Batch [0049]/[3760] Speed: 87.959646 samples/sec accuracy=62.531250 loss=1.545946 lr=0.004873 Epoch[173] Batch [0099]/[3760] Speed: 120.275344 samples/sec accuracy=63.203125 loss=1.530855 lr=0.004868 Epoch[173] Batch [0149]/[3760] Speed: 119.827252 samples/sec accuracy=62.979167 loss=1.541169 lr=0.004862 Epoch[173] Batch [0199]/[3760] Speed: 119.495331 samples/sec accuracy=63.546875 loss=1.520024 lr=0.004857 Epoch[173] Batch [0249]/[3760] Speed: 118.979443 samples/sec accuracy=63.731250 loss=1.513861 lr=0.004851 Epoch[173] Batch [0299]/[3760] Speed: 119.800982 samples/sec accuracy=63.630208 loss=1.511413 lr=0.004846 Epoch[173] Batch [0349]/[3760] Speed: 119.860174 samples/sec accuracy=63.464286 loss=1.512710 lr=0.004840 Epoch[173] Batch [0399]/[3760] Speed: 119.812554 samples/sec accuracy=63.421875 loss=1.511812 lr=0.004835 Epoch[173] Batch [0449]/[3760] Speed: 119.187768 samples/sec accuracy=63.538194 loss=1.510757 lr=0.004829 Epoch[173] Batch [0499]/[3760] Speed: 117.874409 samples/sec accuracy=63.565625 loss=1.513614 lr=0.004824 Epoch[173] Batch [0549]/[3760] Speed: 119.862355 samples/sec accuracy=63.517045 loss=1.513603 lr=0.004818 Epoch[173] Batch [0599]/[3760] Speed: 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loss=1.515760 lr=0.004763 Epoch[173] Batch [1099]/[3760] Speed: 119.139110 samples/sec accuracy=63.359375 loss=1.518796 lr=0.004757 Epoch[173] Batch [1149]/[3760] Speed: 119.690800 samples/sec accuracy=63.361413 loss=1.519415 lr=0.004752 Epoch[173] Batch [1199]/[3760] Speed: 118.972089 samples/sec accuracy=63.404948 loss=1.519434 lr=0.004746 Epoch[173] Batch [1249]/[3760] Speed: 119.405331 samples/sec accuracy=63.391250 loss=1.519154 lr=0.004741 Epoch[173] Batch [1299]/[3760] Speed: 119.971754 samples/sec accuracy=63.366587 loss=1.521672 lr=0.004736 Epoch[173] Batch [1349]/[3760] Speed: 119.769548 samples/sec accuracy=63.341435 loss=1.522062 lr=0.004730 Epoch[173] Batch [1399]/[3760] Speed: 119.077748 samples/sec accuracy=63.322545 loss=1.521650 lr=0.004725 Epoch[173] Batch [1449]/[3760] Speed: 120.319177 samples/sec accuracy=63.293103 loss=1.522437 lr=0.004719 Epoch[173] Batch [1499]/[3760] Speed: 119.227736 samples/sec accuracy=63.288542 loss=1.523092 lr=0.004714 Epoch[173] Batch [1549]/[3760] Speed: 119.505347 samples/sec accuracy=63.300403 loss=1.522531 lr=0.004708 Epoch[173] Batch [1599]/[3760] Speed: 119.826943 samples/sec accuracy=63.274414 loss=1.523125 lr=0.004703 Epoch[173] Batch [1649]/[3760] Speed: 120.101078 samples/sec accuracy=63.269886 loss=1.523675 lr=0.004697 Epoch[173] Batch [1699]/[3760] Speed: 119.663243 samples/sec accuracy=63.253676 loss=1.523577 lr=0.004692 Epoch[173] Batch [1749]/[3760] Speed: 119.992350 samples/sec accuracy=63.241071 loss=1.523733 lr=0.004686 Epoch[173] Batch [1799]/[3760] Speed: 119.115921 samples/sec accuracy=63.233507 loss=1.523411 lr=0.004681 Epoch[173] Batch [1849]/[3760] Speed: 119.673689 samples/sec accuracy=63.210304 loss=1.524593 lr=0.004675 Epoch[173] Batch [1899]/[3760] Speed: 117.657529 samples/sec accuracy=63.218750 loss=1.523912 lr=0.004670 Epoch[173] Batch [1949]/[3760] Speed: 119.782128 samples/sec accuracy=63.249199 loss=1.523492 lr=0.004665 Epoch[173] Batch [1999]/[3760] Speed: 119.576803 samples/sec accuracy=63.246094 loss=1.524348 lr=0.004659 Epoch[173] Batch [2049]/[3760] Speed: 120.052704 samples/sec accuracy=63.221799 loss=1.526280 lr=0.004654 Epoch[173] Batch [2099]/[3760] Speed: 120.423307 samples/sec accuracy=63.224702 loss=1.526314 lr=0.004648 Epoch[173] Batch [2149]/[3760] Speed: 119.481587 samples/sec accuracy=63.218750 loss=1.526308 lr=0.004643 Epoch[173] Batch [2199]/[3760] Speed: 119.718312 samples/sec accuracy=63.200994 loss=1.527292 lr=0.004637 Epoch[173] Batch [2249]/[3760] Speed: 120.330266 samples/sec accuracy=63.237500 loss=1.526358 lr=0.004632 Epoch[173] Batch [2299]/[3760] Speed: 119.349525 samples/sec accuracy=63.245924 loss=1.525554 lr=0.004627 Epoch[173] Batch [2349]/[3760] Speed: 119.915601 samples/sec accuracy=63.223404 loss=1.527632 lr=0.004621 Epoch[173] Batch [2399]/[3760] Speed: 119.332652 samples/sec accuracy=63.218750 loss=1.527275 lr=0.004616 Epoch[173] Batch [2449]/[3760] Speed: 119.655865 samples/sec accuracy=63.230867 loss=1.527338 lr=0.004610 Epoch[173] Batch [2499]/[3760] Speed: 120.572911 samples/sec accuracy=63.229375 loss=1.527470 lr=0.004605 Epoch[173] Batch [2549]/[3760] Speed: 120.507918 samples/sec accuracy=63.216912 loss=1.527792 lr=0.004599 Epoch[173] Batch [2599]/[3760] Speed: 119.912039 samples/sec accuracy=63.219351 loss=1.528404 lr=0.004594 Epoch[173] Batch [2649]/[3760] Speed: 119.868195 samples/sec accuracy=63.201651 loss=1.529411 lr=0.004589 Epoch[173] Batch [2699]/[3760] Speed: 120.637804 samples/sec accuracy=63.192708 loss=1.529160 lr=0.004583 Epoch[173] Batch [2749]/[3760] Speed: 119.966289 samples/sec accuracy=63.192045 loss=1.529298 lr=0.004578 Epoch[173] Batch [2799]/[3760] Speed: 119.939336 samples/sec accuracy=63.189732 loss=1.529548 lr=0.004572 Epoch[173] Batch [2849]/[3760] Speed: 118.899763 samples/sec accuracy=63.194079 loss=1.529326 lr=0.004567 Epoch[173] Batch [2899]/[3760] Speed: 119.381742 samples/sec accuracy=63.198276 loss=1.529655 lr=0.004562 Epoch[173] Batch [2949]/[3760] Speed: 119.407023 samples/sec accuracy=63.224047 loss=1.528808 lr=0.004556 Epoch[173] Batch [2999]/[3760] Speed: 120.224374 samples/sec accuracy=63.224479 loss=1.528615 lr=0.004551 Epoch[173] Batch [3049]/[3760] Speed: 119.934559 samples/sec accuracy=63.201844 loss=1.529249 lr=0.004546 Epoch[173] Batch [3099]/[3760] Speed: 119.687902 samples/sec accuracy=63.183972 loss=1.529475 lr=0.004540 Epoch[173] Batch [3149]/[3760] Speed: 119.546509 samples/sec accuracy=63.179563 loss=1.529630 lr=0.004535 Epoch[173] Batch [3199]/[3760] Speed: 119.166940 samples/sec accuracy=63.193848 loss=1.529036 lr=0.004529 Epoch[173] Batch [3249]/[3760] Speed: 119.858944 samples/sec accuracy=63.173558 loss=1.529872 lr=0.004524 Epoch[173] Batch [3299]/[3760] Speed: 119.918674 samples/sec accuracy=63.168087 loss=1.529671 lr=0.004519 Epoch[173] Batch [3349]/[3760] Speed: 120.108606 samples/sec accuracy=63.143657 loss=1.530521 lr=0.004513 Epoch[173] Batch [3399]/[3760] Speed: 119.885128 samples/sec accuracy=63.131893 loss=1.530963 lr=0.004508 Epoch[173] Batch [3449]/[3760] Speed: 117.376932 samples/sec accuracy=63.132246 loss=1.530696 lr=0.004503 Epoch[173] Batch [3499]/[3760] Speed: 119.700240 samples/sec accuracy=63.121429 loss=1.531088 lr=0.004497 Epoch[173] Batch [3549]/[3760] Speed: 119.734739 samples/sec accuracy=63.119718 loss=1.531476 lr=0.004492 Epoch[173] Batch [3599]/[3760] Speed: 120.650611 samples/sec accuracy=63.129340 loss=1.531007 lr=0.004487 Epoch[173] Batch [3649]/[3760] Speed: 120.166757 samples/sec accuracy=63.125856 loss=1.531182 lr=0.004481 Epoch[173] Batch [3699]/[3760] Speed: 119.851873 samples/sec accuracy=63.114865 loss=1.531764 lr=0.004476 Epoch[173] Batch [3749]/[3760] Speed: 123.132461 samples/sec accuracy=63.102917 loss=1.532298 lr=0.004471 Batch [0049]/[0303]: acc-top1=61.062500 acc-top5=82.125000 Batch [0099]/[0303]: acc-top1=57.906250 acc-top5=80.828125 Batch [0149]/[0303]: acc-top1=58.833333 acc-top5=81.437500 Batch [0199]/[0303]: acc-top1=61.437500 acc-top5=82.828125 Batch [0249]/[0303]: acc-top1=60.781250 acc-top5=82.425000 Batch [0299]/[0303]: acc-top1=60.354167 acc-top5=82.546875 [Epoch 173] training: accuracy=63.099235 loss=1.532605 [Epoch 173] speed: 119 samples/sec time cost: 2137.432865 [Epoch 173] validation: acc-top1=60.298061 acc-top5=82.544348 loss=1.801597 Epoch[174] Batch [0049]/[3759] Speed: 87.567250 samples/sec accuracy=64.125000 loss=1.477792 lr=0.004464 Epoch[174] Batch [0099]/[3759] Speed: 119.993485 samples/sec accuracy=64.000000 loss=1.463672 lr=0.004459 Epoch[174] Batch [0149]/[3759] Speed: 120.130740 samples/sec accuracy=64.093750 loss=1.476405 lr=0.004454 Epoch[174] Batch [0199]/[3759] Speed: 119.789428 samples/sec accuracy=63.937500 loss=1.485723 lr=0.004448 Epoch[174] Batch [0249]/[3759] Speed: 118.992830 samples/sec accuracy=63.831250 loss=1.491814 lr=0.004443 Epoch[174] Batch [0299]/[3759] Speed: 118.739930 samples/sec accuracy=63.588542 loss=1.493433 lr=0.004438 Epoch[174] Batch [0349]/[3759] Speed: 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loss=1.505780 lr=0.004385 Epoch[174] Batch [0849]/[3759] Speed: 119.039639 samples/sec accuracy=63.641544 loss=1.507650 lr=0.004379 Epoch[174] Batch [0899]/[3759] Speed: 119.571668 samples/sec accuracy=63.666667 loss=1.507228 lr=0.004374 Epoch[174] Batch [0949]/[3759] Speed: 120.203735 samples/sec accuracy=63.669408 loss=1.507302 lr=0.004369 Epoch[174] Batch [0999]/[3759] Speed: 119.950874 samples/sec accuracy=63.629687 loss=1.508255 lr=0.004364 Epoch[174] Batch [1049]/[3759] Speed: 120.246162 samples/sec accuracy=63.584821 loss=1.511478 lr=0.004358 Epoch[174] Batch [1099]/[3759] Speed: 119.375737 samples/sec accuracy=63.575284 loss=1.512291 lr=0.004353 Epoch[174] Batch [1149]/[3759] Speed: 120.002653 samples/sec accuracy=63.558424 loss=1.512659 lr=0.004348 Epoch[174] Batch [1199]/[3759] Speed: 119.829003 samples/sec accuracy=63.561198 loss=1.512190 lr=0.004343 Epoch[174] Batch [1249]/[3759] Speed: 119.112788 samples/sec accuracy=63.588750 loss=1.510683 lr=0.004337 Epoch[174] Batch 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accuracy=63.691964 loss=1.504593 lr=0.004285 Epoch[174] Batch [1799]/[3759] Speed: 119.919511 samples/sec accuracy=63.708333 loss=1.504410 lr=0.004280 Epoch[174] Batch [1849]/[3759] Speed: 119.900884 samples/sec accuracy=63.675676 loss=1.504422 lr=0.004274 Epoch[174] Batch [1899]/[3759] Speed: 119.429013 samples/sec accuracy=63.638158 loss=1.505424 lr=0.004269 Epoch[174] Batch [1949]/[3759] Speed: 119.706579 samples/sec accuracy=63.612981 loss=1.505665 lr=0.004264 Epoch[174] Batch [1999]/[3759] Speed: 119.239445 samples/sec accuracy=63.582812 loss=1.506503 lr=0.004259 Epoch[174] Batch [2049]/[3759] Speed: 120.225215 samples/sec accuracy=63.579268 loss=1.506622 lr=0.004254 Epoch[174] Batch [2099]/[3759] Speed: 119.738361 samples/sec accuracy=63.595982 loss=1.505734 lr=0.004248 Epoch[174] Batch [2149]/[3759] Speed: 119.371231 samples/sec accuracy=63.593023 loss=1.505726 lr=0.004243 Epoch[174] Batch [2199]/[3759] Speed: 119.872513 samples/sec accuracy=63.578835 loss=1.506721 lr=0.004238 Epoch[174] Batch [2249]/[3759] Speed: 119.969079 samples/sec accuracy=63.577778 loss=1.506776 lr=0.004233 Epoch[174] Batch [2299]/[3759] Speed: 119.916870 samples/sec accuracy=63.574728 loss=1.506944 lr=0.004228 Epoch[174] Batch [2349]/[3759] Speed: 119.999730 samples/sec accuracy=63.546543 loss=1.507820 lr=0.004222 Epoch[174] Batch [2399]/[3759] Speed: 119.568633 samples/sec accuracy=63.565104 loss=1.507062 lr=0.004217 Epoch[174] Batch [2449]/[3759] Speed: 119.275147 samples/sec accuracy=63.552296 loss=1.507653 lr=0.004212 Epoch[174] Batch [2499]/[3759] Speed: 119.693825 samples/sec accuracy=63.560625 loss=1.507399 lr=0.004207 Epoch[174] Batch [2549]/[3759] Speed: 118.876911 samples/sec accuracy=63.565564 loss=1.507176 lr=0.004202 Epoch[174] Batch [2599]/[3759] Speed: 119.362904 samples/sec accuracy=63.588942 loss=1.506302 lr=0.004197 Epoch[174] Batch [2649]/[3759] Speed: 119.182433 samples/sec accuracy=63.575472 loss=1.507272 lr=0.004191 Epoch[174] Batch [2699]/[3759] Speed: 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loss=1.507474 lr=0.004140 Epoch[174] Batch [3199]/[3759] Speed: 119.622122 samples/sec accuracy=63.580566 loss=1.507442 lr=0.004135 Epoch[174] Batch [3249]/[3759] Speed: 119.855183 samples/sec accuracy=63.583173 loss=1.506937 lr=0.004130 Epoch[174] Batch [3299]/[3759] Speed: 119.510950 samples/sec accuracy=63.596117 loss=1.506546 lr=0.004124 Epoch[174] Batch [3349]/[3759] Speed: 119.796314 samples/sec accuracy=63.603078 loss=1.506273 lr=0.004119 Epoch[174] Batch [3399]/[3759] Speed: 119.077748 samples/sec accuracy=63.611213 loss=1.505819 lr=0.004114 Epoch[174] Batch [3449]/[3759] Speed: 119.252169 samples/sec accuracy=63.611866 loss=1.505352 lr=0.004109 Epoch[174] Batch [3499]/[3759] Speed: 119.953258 samples/sec accuracy=63.613839 loss=1.505417 lr=0.004104 Epoch[174] Batch [3549]/[3759] Speed: 119.232638 samples/sec accuracy=63.619718 loss=1.505182 lr=0.004099 Epoch[174] Batch [3599]/[3759] Speed: 119.532184 samples/sec accuracy=63.612847 loss=1.505333 lr=0.004094 Epoch[174] Batch [3649]/[3759] Speed: 119.495961 samples/sec accuracy=63.611729 loss=1.505529 lr=0.004089 Epoch[174] Batch [3699]/[3759] Speed: 119.667681 samples/sec accuracy=63.619510 loss=1.504831 lr=0.004083 Epoch[174] Batch [3749]/[3759] Speed: 123.530563 samples/sec accuracy=63.608750 loss=1.505526 lr=0.004078 Batch [0049]/[0303]: acc-top1=59.968750 acc-top5=81.468750 Batch [0099]/[0303]: acc-top1=57.515625 acc-top5=81.421875 Batch [0149]/[0303]: acc-top1=59.166667 acc-top5=81.812500 Batch [0199]/[0303]: acc-top1=61.906250 acc-top5=83.250000 Batch [0249]/[0303]: acc-top1=61.256250 acc-top5=82.831250 Batch [0299]/[0303]: acc-top1=60.661458 acc-top5=82.796875 [Epoch 174] training: accuracy=63.601107 loss=1.505807 [Epoch 174] speed: 119 samples/sec time cost: 2138.086021 [Epoch 174] validation: acc-top1=60.602310 acc-top5=82.766089 loss=1.789220 Epoch[175] Batch [0049]/[3760] Speed: 87.897315 samples/sec accuracy=65.406250 loss=1.417796 lr=0.004072 Epoch[175] Batch [0099]/[3760] Speed: 120.319652 samples/sec accuracy=64.953125 loss=1.431917 lr=0.004067 Epoch[175] Batch [0149]/[3760] Speed: 119.514520 samples/sec accuracy=65.291667 loss=1.435523 lr=0.004062 Epoch[175] Batch [0199]/[3760] Speed: 120.207095 samples/sec accuracy=65.062500 loss=1.438371 lr=0.004057 Epoch[175] Batch [0249]/[3760] Speed: 119.850516 samples/sec accuracy=65.125000 loss=1.429575 lr=0.004052 Epoch[175] Batch [0299]/[3760] Speed: 119.966700 samples/sec accuracy=64.828125 loss=1.447852 lr=0.004047 Epoch[175] Batch [0349]/[3760] Speed: 119.470247 samples/sec accuracy=64.727679 loss=1.452685 lr=0.004042 Epoch[175] Batch [0399]/[3760] Speed: 118.970513 samples/sec accuracy=64.613281 loss=1.458184 lr=0.004037 Epoch[175] Batch [0449]/[3760] Speed: 119.282622 samples/sec accuracy=64.645833 loss=1.456192 lr=0.004032 Epoch[175] Batch [0499]/[3760] Speed: 119.342071 samples/sec accuracy=64.675000 loss=1.457236 lr=0.004027 Epoch[175] Batch [0549]/[3760] Speed: 118.871268 samples/sec accuracy=64.659091 loss=1.460532 lr=0.004022 Epoch[175] Batch [0599]/[3760] Speed: 119.709809 samples/sec accuracy=64.755208 loss=1.456063 lr=0.004016 Epoch[175] Batch [0649]/[3760] Speed: 117.601216 samples/sec accuracy=64.665865 loss=1.459009 lr=0.004011 Epoch[175] Batch [0699]/[3760] Speed: 119.411318 samples/sec accuracy=64.607143 loss=1.459317 lr=0.004006 Epoch[175] Batch [0749]/[3760] Speed: 119.242177 samples/sec accuracy=64.552083 loss=1.461105 lr=0.004001 Epoch[175] Batch [0799]/[3760] Speed: 119.191477 samples/sec accuracy=64.570312 loss=1.460748 lr=0.003996 Epoch[175] Batch [0849]/[3760] Speed: 119.551329 samples/sec accuracy=64.518382 loss=1.460667 lr=0.003991 Epoch[175] Batch [0899]/[3760] Speed: 120.093163 samples/sec accuracy=64.532986 loss=1.463150 lr=0.003986 Epoch[175] Batch [0949]/[3760] Speed: 119.618291 samples/sec accuracy=64.557566 loss=1.462955 lr=0.003981 Epoch[175] Batch [0999]/[3760] Speed: 119.675913 samples/sec accuracy=64.509375 loss=1.464968 lr=0.003976 Epoch[175] Batch [1049]/[3760] Speed: 119.110969 samples/sec accuracy=64.523810 loss=1.465982 lr=0.003971 Epoch[175] Batch [1099]/[3760] Speed: 119.524425 samples/sec accuracy=64.488636 loss=1.467492 lr=0.003966 Epoch[175] Batch [1149]/[3760] Speed: 118.655924 samples/sec accuracy=64.504076 loss=1.468145 lr=0.003961 Epoch[175] Batch [1199]/[3760] Speed: 119.735906 samples/sec accuracy=64.449219 loss=1.468938 lr=0.003956 Epoch[175] Batch [1249]/[3760] Speed: 119.408990 samples/sec accuracy=64.473750 loss=1.468251 lr=0.003951 Epoch[175] Batch [1299]/[3760] Speed: 120.465297 samples/sec accuracy=64.427885 loss=1.468062 lr=0.003946 Epoch[175] Batch [1349]/[3760] Speed: 119.363100 samples/sec accuracy=64.409722 loss=1.469036 lr=0.003941 Epoch[175] Batch [1399]/[3760] Speed: 119.411876 samples/sec accuracy=64.422991 loss=1.469853 lr=0.003936 Epoch[175] Batch [1449]/[3760] Speed: 120.445065 samples/sec accuracy=64.431034 loss=1.470403 lr=0.003931 Epoch[175] Batch [1499]/[3760] Speed: 119.827947 samples/sec accuracy=64.455208 loss=1.468849 lr=0.003926 Epoch[175] Batch [1549]/[3760] Speed: 119.489533 samples/sec accuracy=64.431452 loss=1.469410 lr=0.003921 Epoch[175] Batch [1599]/[3760] Speed: 119.589314 samples/sec accuracy=64.373047 loss=1.471956 lr=0.003916 Epoch[175] Batch [1649]/[3760] Speed: 120.164663 samples/sec accuracy=64.400568 loss=1.471723 lr=0.003911 Epoch[175] Batch [1699]/[3760] Speed: 120.197205 samples/sec accuracy=64.406250 loss=1.471109 lr=0.003906 Epoch[175] Batch [1749]/[3760] Speed: 119.581321 samples/sec accuracy=64.471429 loss=1.468774 lr=0.003901 Epoch[175] Batch [1799]/[3760] Speed: 120.216319 samples/sec accuracy=64.423611 loss=1.470151 lr=0.003896 Epoch[175] Batch [1849]/[3760] Speed: 119.960837 samples/sec accuracy=64.411318 loss=1.470120 lr=0.003891 Epoch[175] Batch [1899]/[3760] Speed: 119.142717 samples/sec accuracy=64.393914 loss=1.471229 lr=0.003886 Epoch[175] Batch [1949]/[3760] Speed: 119.016905 samples/sec accuracy=64.358173 loss=1.472343 lr=0.003881 Epoch[175] Batch [1999]/[3760] Speed: 119.974473 samples/sec accuracy=64.309375 loss=1.473574 lr=0.003876 Epoch[175] Batch [2049]/[3760] Speed: 118.857535 samples/sec accuracy=64.336890 loss=1.473162 lr=0.003871 Epoch[175] Batch [2099]/[3760] Speed: 119.464193 samples/sec accuracy=64.326637 loss=1.473708 lr=0.003866 Epoch[175] Batch [2149]/[3760] Speed: 119.579486 samples/sec accuracy=64.349564 loss=1.472826 lr=0.003861 Epoch[175] Batch [2199]/[3760] Speed: 119.343237 samples/sec accuracy=64.349432 loss=1.473683 lr=0.003856 Epoch[175] Batch [2249]/[3760] Speed: 116.802388 samples/sec accuracy=64.356944 loss=1.473166 lr=0.003851 Epoch[175] Batch [2299]/[3760] Speed: 119.286656 samples/sec accuracy=64.347147 loss=1.473163 lr=0.003846 Epoch[175] Batch [2349]/[3760] Speed: 118.877204 samples/sec accuracy=64.349069 loss=1.473545 lr=0.003841 Epoch[175] Batch [2399]/[3760] Speed: 119.536415 samples/sec accuracy=64.318359 loss=1.474857 lr=0.003836 Epoch[175] Batch [2449]/[3760] Speed: 119.582820 samples/sec accuracy=64.305485 loss=1.475382 lr=0.003831 Epoch[175] Batch [2499]/[3760] Speed: 119.451088 samples/sec accuracy=64.332500 loss=1.473897 lr=0.003826 Epoch[175] Batch [2549]/[3760] Speed: 119.580862 samples/sec accuracy=64.336397 loss=1.473586 lr=0.003821 Epoch[175] Batch [2599]/[3760] Speed: 119.320520 samples/sec accuracy=64.334736 loss=1.473854 lr=0.003816 Epoch[175] Batch [2649]/[3760] Speed: 119.474530 samples/sec accuracy=64.320165 loss=1.474519 lr=0.003811 Epoch[175] Batch [2699]/[3760] Speed: 119.743513 samples/sec accuracy=64.337384 loss=1.474074 lr=0.003806 Epoch[175] Batch [2749]/[3760] Speed: 120.240534 samples/sec accuracy=64.346591 loss=1.473983 lr=0.003802 Epoch[175] Batch [2799]/[3760] Speed: 119.814835 samples/sec accuracy=64.336496 loss=1.474719 lr=0.003797 Epoch[175] Batch [2849]/[3760] Speed: 118.797903 samples/sec accuracy=64.329496 loss=1.475098 lr=0.003792 Epoch[175] Batch [2899]/[3760] Speed: 119.829481 samples/sec accuracy=64.318966 loss=1.475667 lr=0.003787 Epoch[175] Batch [2949]/[3760] Speed: 119.446246 samples/sec accuracy=64.326271 loss=1.475285 lr=0.003782 Epoch[175] Batch [2999]/[3760] Speed: 119.635039 samples/sec accuracy=64.323958 loss=1.475441 lr=0.003777 Epoch[175] Batch [3049]/[3760] Speed: 119.719441 samples/sec accuracy=64.308914 loss=1.476008 lr=0.003772 Epoch[175] Batch [3099]/[3760] Speed: 119.427475 samples/sec accuracy=64.302419 loss=1.476334 lr=0.003767 Epoch[175] Batch [3149]/[3760] Speed: 120.544318 samples/sec accuracy=64.299107 loss=1.476709 lr=0.003762 Epoch[175] Batch [3199]/[3760] Speed: 119.481150 samples/sec accuracy=64.297363 loss=1.476651 lr=0.003757 Epoch[175] Batch [3249]/[3760] Speed: 119.444813 samples/sec accuracy=64.281250 loss=1.477677 lr=0.003752 Epoch[175] Batch [3299]/[3760] Speed: 120.602725 samples/sec accuracy=64.269413 loss=1.478177 lr=0.003747 Epoch[175] Batch [3349]/[3760] Speed: 119.532028 samples/sec accuracy=64.269590 loss=1.478115 lr=0.003743 Epoch[175] Batch [3399]/[3760] Speed: 120.033712 samples/sec accuracy=64.238971 loss=1.479665 lr=0.003738 Epoch[175] Batch [3449]/[3760] Speed: 119.830643 samples/sec accuracy=64.244112 loss=1.479964 lr=0.003733 Epoch[175] Batch [3499]/[3760] Speed: 119.813947 samples/sec accuracy=64.244643 loss=1.480117 lr=0.003728 Epoch[175] Batch [3549]/[3760] Speed: 119.386849 samples/sec accuracy=64.246919 loss=1.479899 lr=0.003723 Epoch[175] Batch [3599]/[3760] Speed: 119.631378 samples/sec accuracy=64.234809 loss=1.480136 lr=0.003718 Epoch[175] Batch [3649]/[3760] Speed: 116.512460 samples/sec accuracy=64.231592 loss=1.480698 lr=0.003713 Epoch[175] Batch [3699]/[3760] Speed: 120.785179 samples/sec accuracy=64.237331 loss=1.480192 lr=0.003708 Epoch[175] Batch [3749]/[3760] Speed: 123.134510 samples/sec accuracy=64.238750 loss=1.480647 lr=0.003703 Batch [0049]/[0303]: acc-top1=60.250000 acc-top5=82.343750 Batch [0099]/[0303]: acc-top1=57.484375 acc-top5=81.078125 Batch [0149]/[0303]: acc-top1=58.708333 acc-top5=81.562500 Batch [0199]/[0303]: acc-top1=61.718750 acc-top5=83.250000 Batch [0249]/[0303]: acc-top1=61.062500 acc-top5=82.887500 Batch [0299]/[0303]: acc-top1=60.838542 acc-top5=82.968750 [Epoch 175] training: accuracy=64.246592 loss=1.480415 [Epoch 175] speed: 118 samples/sec time cost: 2139.969522 [Epoch 175] validation: acc-top1=60.772483 acc-top5=82.936262 loss=1.778269 Epoch[176] Batch [0049]/[3760] Speed: 89.249925 samples/sec accuracy=64.437500 loss=1.445870 lr=0.003698 Epoch[176] Batch [0099]/[3760] Speed: 119.844251 samples/sec accuracy=65.312500 loss=1.437535 lr=0.003693 Epoch[176] Batch [0149]/[3760] Speed: 119.819355 samples/sec accuracy=65.395833 loss=1.422109 lr=0.003688 Epoch[176] Batch [0199]/[3760] Speed: 119.614608 samples/sec accuracy=64.992188 loss=1.437955 lr=0.003683 Epoch[176] Batch [0249]/[3760] Speed: 118.651102 samples/sec accuracy=65.143750 loss=1.433812 lr=0.003678 Epoch[176] Batch [0299]/[3760] Speed: 119.947685 samples/sec accuracy=65.093750 loss=1.437761 lr=0.003673 Epoch[176] Batch [0349]/[3760] Speed: 120.162239 samples/sec accuracy=65.160714 loss=1.434006 lr=0.003668 Epoch[176] Batch [0399]/[3760] Speed: 119.432438 samples/sec accuracy=65.054688 loss=1.438654 lr=0.003664 Epoch[176] Batch [0449]/[3760] Speed: 119.333497 samples/sec accuracy=65.118056 loss=1.437659 lr=0.003659 Epoch[176] Batch [0499]/[3760] Speed: 119.572015 samples/sec accuracy=65.087500 loss=1.438022 lr=0.003654 Epoch[176] Batch [0549]/[3760] Speed: 119.309796 samples/sec accuracy=64.937500 loss=1.443803 lr=0.003649 Epoch[176] Batch [0599]/[3760] Speed: 119.246650 samples/sec accuracy=64.893229 loss=1.447412 lr=0.003644 Epoch[176] Batch [0649]/[3760] Speed: 119.115498 samples/sec accuracy=64.930288 loss=1.447935 lr=0.003639 Epoch[176] Batch [0699]/[3760] Speed: 119.595612 samples/sec accuracy=64.955357 loss=1.446874 lr=0.003635 Epoch[176] Batch [0749]/[3760] Speed: 119.394794 samples/sec accuracy=64.964583 loss=1.446038 lr=0.003630 Epoch[176] Batch 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accuracy=64.906250 loss=1.450036 lr=0.003582 Epoch[176] Batch [1299]/[3760] Speed: 120.044161 samples/sec accuracy=64.899038 loss=1.450644 lr=0.003577 Epoch[176] Batch [1349]/[3760] Speed: 120.281648 samples/sec accuracy=64.813657 loss=1.454033 lr=0.003572 Epoch[176] Batch [1399]/[3760] Speed: 120.159689 samples/sec accuracy=64.790179 loss=1.454001 lr=0.003567 Epoch[176] Batch [1449]/[3760] Speed: 117.795788 samples/sec accuracy=64.769397 loss=1.452665 lr=0.003563 Epoch[176] Batch [1499]/[3760] Speed: 120.321040 samples/sec accuracy=64.817708 loss=1.450775 lr=0.003558 Epoch[176] Batch [1549]/[3760] Speed: 118.934175 samples/sec accuracy=64.841734 loss=1.450919 lr=0.003553 Epoch[176] Batch [1599]/[3760] Speed: 119.816095 samples/sec accuracy=64.822266 loss=1.450746 lr=0.003548 Epoch[176] Batch [1649]/[3760] Speed: 119.922778 samples/sec accuracy=64.754735 loss=1.452683 lr=0.003543 Epoch[176] Batch [1699]/[3760] Speed: 120.264023 samples/sec accuracy=64.727941 loss=1.453430 lr=0.003539 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accuracy=64.737847 loss=1.453819 lr=0.003360 Epoch[176] Batch [3649]/[3760] Speed: 119.007175 samples/sec accuracy=64.727312 loss=1.453925 lr=0.003355 Epoch[176] Batch [3699]/[3760] Speed: 118.825754 samples/sec accuracy=64.737753 loss=1.453691 lr=0.003351 Epoch[176] Batch [3749]/[3760] Speed: 123.922287 samples/sec accuracy=64.745833 loss=1.453724 lr=0.003346 Batch [0049]/[0303]: acc-top1=61.406250 acc-top5=82.562500 Batch [0099]/[0303]: acc-top1=59.015625 acc-top5=81.750000 Batch [0149]/[0303]: acc-top1=60.218750 acc-top5=82.458333 Batch [0199]/[0303]: acc-top1=62.648438 acc-top5=83.710938 Batch [0249]/[0303]: acc-top1=62.125000 acc-top5=83.406250 Batch [0299]/[0303]: acc-top1=61.744792 acc-top5=83.463542 [Epoch 176] training: accuracy=64.755236 loss=1.453497 [Epoch 176] speed: 119 samples/sec time cost: 2137.803728 [Epoch 176] validation: acc-top1=61.659447 acc-top5=83.467409 loss=1.742953 Epoch[177] Batch [0049]/[3759] Speed: 91.072783 samples/sec accuracy=65.812500 loss=1.422862 lr=0.003340 Epoch[177] Batch [0099]/[3759] Speed: 120.445301 samples/sec accuracy=65.281250 loss=1.443697 lr=0.003336 Epoch[177] Batch [0149]/[3759] Speed: 119.394847 samples/sec accuracy=65.218750 loss=1.434795 lr=0.003331 Epoch[177] Batch [0199]/[3759] Speed: 119.682417 samples/sec accuracy=65.101562 loss=1.429389 lr=0.003326 Epoch[177] Batch [0249]/[3759] Speed: 120.439528 samples/sec accuracy=65.156250 loss=1.432867 lr=0.003322 Epoch[177] Batch [0299]/[3759] Speed: 119.099713 samples/sec accuracy=65.260417 loss=1.427113 lr=0.003317 Epoch[177] Batch [0349]/[3759] Speed: 119.366439 samples/sec accuracy=65.450893 loss=1.423739 lr=0.003313 Epoch[177] Batch [0399]/[3759] Speed: 120.102947 samples/sec accuracy=65.503906 loss=1.423189 lr=0.003308 Epoch[177] Batch [0449]/[3759] Speed: 119.532747 samples/sec accuracy=65.666667 loss=1.419690 lr=0.003303 Epoch[177] Batch [0499]/[3759] Speed: 119.289447 samples/sec accuracy=65.600000 loss=1.422364 lr=0.003299 Epoch[177] Batch [0549]/[3759] 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accuracy=65.700000 loss=1.418979 lr=0.003253 Epoch[177] Batch [1049]/[3759] Speed: 119.465428 samples/sec accuracy=65.703869 loss=1.419518 lr=0.003248 Epoch[177] Batch [1099]/[3759] Speed: 120.334865 samples/sec accuracy=65.731534 loss=1.417291 lr=0.003244 Epoch[177] Batch [1149]/[3759] Speed: 119.251767 samples/sec accuracy=65.669837 loss=1.420118 lr=0.003239 Epoch[177] Batch [1199]/[3759] Speed: 120.309146 samples/sec accuracy=65.683594 loss=1.420360 lr=0.003235 Epoch[177] Batch [1249]/[3759] Speed: 119.583089 samples/sec accuracy=65.710000 loss=1.419274 lr=0.003230 Epoch[177] Batch [1299]/[3759] Speed: 119.454593 samples/sec accuracy=65.688702 loss=1.421508 lr=0.003225 Epoch[177] Batch [1349]/[3759] Speed: 119.705361 samples/sec accuracy=65.686343 loss=1.421921 lr=0.003221 Epoch[177] Batch [1399]/[3759] Speed: 119.800331 samples/sec accuracy=65.666295 loss=1.421507 lr=0.003216 Epoch[177] Batch [1449]/[3759] Speed: 119.897403 samples/sec accuracy=65.683190 loss=1.419711 lr=0.003212 Epoch[177] Batch [1499]/[3759] Speed: 120.262366 samples/sec accuracy=65.665625 loss=1.420699 lr=0.003207 Epoch[177] Batch [1549]/[3759] Speed: 119.886681 samples/sec accuracy=65.637097 loss=1.422371 lr=0.003203 Epoch[177] Batch [1599]/[3759] Speed: 119.416606 samples/sec accuracy=65.648438 loss=1.422997 lr=0.003198 Epoch[177] Batch [1649]/[3759] Speed: 120.564539 samples/sec accuracy=65.637311 loss=1.423081 lr=0.003194 Epoch[177] Batch [1699]/[3759] Speed: 119.508901 samples/sec accuracy=65.683824 loss=1.422208 lr=0.003189 Epoch[177] Batch [1749]/[3759] Speed: 120.146285 samples/sec accuracy=65.689286 loss=1.422680 lr=0.003185 Epoch[177] Batch [1799]/[3759] Speed: 119.755807 samples/sec accuracy=65.684028 loss=1.422943 lr=0.003180 Epoch[177] Batch [1849]/[3759] Speed: 119.747892 samples/sec accuracy=65.653716 loss=1.423424 lr=0.003175 Epoch[177] Batch [1899]/[3759] Speed: 119.692209 samples/sec accuracy=65.632401 loss=1.423920 lr=0.003171 Epoch[177] Batch [1949]/[3759] Speed: 119.662451 samples/sec accuracy=65.657051 loss=1.423874 lr=0.003166 Epoch[177] Batch [1999]/[3759] Speed: 118.828024 samples/sec accuracy=65.652344 loss=1.424280 lr=0.003162 Epoch[177] Batch [2049]/[3759] Speed: 119.886322 samples/sec accuracy=65.615091 loss=1.425011 lr=0.003157 Epoch[177] Batch [2099]/[3759] Speed: 119.468677 samples/sec accuracy=65.598214 loss=1.424756 lr=0.003153 Epoch[177] Batch [2149]/[3759] Speed: 116.972636 samples/sec accuracy=65.625000 loss=1.424087 lr=0.003148 Epoch[177] Batch [2199]/[3759] Speed: 119.568642 samples/sec accuracy=65.625000 loss=1.424245 lr=0.003144 Epoch[177] Batch [2249]/[3759] Speed: 119.109035 samples/sec accuracy=65.620139 loss=1.424871 lr=0.003139 Epoch[177] Batch [2299]/[3759] Speed: 119.641711 samples/sec accuracy=65.612772 loss=1.424863 lr=0.003135 Epoch[177] Batch [2349]/[3759] Speed: 120.011948 samples/sec accuracy=65.623005 loss=1.424089 lr=0.003130 Epoch[177] Batch [2399]/[3759] Speed: 119.959611 samples/sec accuracy=65.604167 loss=1.424304 lr=0.003126 Epoch[177] Batch [2449]/[3759] Speed: 119.288851 samples/sec accuracy=65.563138 loss=1.425651 lr=0.003121 Epoch[177] Batch [2499]/[3759] Speed: 119.150384 samples/sec accuracy=65.576250 loss=1.424687 lr=0.003117 Epoch[177] Batch [2549]/[3759] Speed: 119.089178 samples/sec accuracy=65.572304 loss=1.424520 lr=0.003112 Epoch[177] Batch [2599]/[3759] Speed: 120.172036 samples/sec accuracy=65.585337 loss=1.423566 lr=0.003108 Epoch[177] Batch [2649]/[3759] Speed: 119.014018 samples/sec accuracy=65.577830 loss=1.423912 lr=0.003104 Epoch[177] Batch [2699]/[3759] Speed: 119.397710 samples/sec accuracy=65.586227 loss=1.423725 lr=0.003099 Epoch[177] Batch [2749]/[3759] Speed: 120.871726 samples/sec accuracy=65.594318 loss=1.423283 lr=0.003095 Epoch[177] Batch [2799]/[3759] Speed: 119.248196 samples/sec accuracy=65.627232 loss=1.422125 lr=0.003090 Epoch[177] Batch [2849]/[3759] Speed: 119.040092 samples/sec accuracy=65.648575 loss=1.421413 lr=0.003086 Epoch[177] Batch [2899]/[3759] Speed: 119.608122 samples/sec accuracy=65.621767 loss=1.422153 lr=0.003081 Epoch[177] Batch [2949]/[3759] Speed: 119.364862 samples/sec accuracy=65.619703 loss=1.422650 lr=0.003077 Epoch[177] Batch [2999]/[3759] Speed: 119.438857 samples/sec accuracy=65.613021 loss=1.423323 lr=0.003072 Epoch[177] Batch [3049]/[3759] Speed: 119.168093 samples/sec accuracy=65.599898 loss=1.423425 lr=0.003068 Epoch[177] Batch [3099]/[3759] Speed: 120.026083 samples/sec accuracy=65.600302 loss=1.423753 lr=0.003063 Epoch[177] Batch [3149]/[3759] Speed: 119.364780 samples/sec accuracy=65.601190 loss=1.424037 lr=0.003059 Epoch[177] Batch [3199]/[3759] Speed: 119.375212 samples/sec accuracy=65.589355 loss=1.424580 lr=0.003054 Epoch[177] Batch [3249]/[3759] Speed: 118.978208 samples/sec accuracy=65.590865 loss=1.424517 lr=0.003050 Epoch[177] Batch [3299]/[3759] Speed: 119.694352 samples/sec accuracy=65.583807 loss=1.424118 lr=0.003046 Epoch[177] Batch [3349]/[3759] Speed: 119.476432 samples/sec accuracy=65.587220 loss=1.423805 lr=0.003041 Epoch[177] Batch [3399]/[3759] Speed: 119.356836 samples/sec accuracy=65.602482 loss=1.423344 lr=0.003037 Epoch[177] Batch [3449]/[3759] Speed: 119.285367 samples/sec accuracy=65.601902 loss=1.423176 lr=0.003032 Epoch[177] Batch [3499]/[3759] Speed: 120.718279 samples/sec accuracy=65.575000 loss=1.423851 lr=0.003028 Epoch[177] Batch [3549]/[3759] Speed: 119.577884 samples/sec accuracy=65.585827 loss=1.423999 lr=0.003024 Epoch[177] Batch [3599]/[3759] Speed: 120.019281 samples/sec accuracy=65.585938 loss=1.423887 lr=0.003019 Epoch[177] Batch [3649]/[3759] Speed: 119.159619 samples/sec accuracy=65.579623 loss=1.423625 lr=0.003015 Epoch[177] Batch [3699]/[3759] Speed: 119.610382 samples/sec accuracy=65.568834 loss=1.423836 lr=0.003010 Epoch[177] Batch [3749]/[3759] Speed: 120.568725 samples/sec accuracy=65.570833 loss=1.423655 lr=0.003006 Batch [0049]/[0303]: acc-top1=61.218750 acc-top5=82.531250 Batch [0099]/[0303]: acc-top1=58.562500 acc-top5=81.625000 Batch [0149]/[0303]: acc-top1=60.114583 acc-top5=82.145833 Batch [0199]/[0303]: acc-top1=62.750000 acc-top5=83.500000 Batch [0249]/[0303]: acc-top1=62.362500 acc-top5=83.156250 Batch [0299]/[0303]: acc-top1=61.786458 acc-top5=83.203125 [Epoch 177] training: accuracy=65.565559 loss=1.423801 [Epoch 177] speed: 119 samples/sec time cost: 2138.084350 [Epoch 177] validation: acc-top1=61.731642 acc-top5=83.219884 loss=1.734493 Epoch[178] Batch [0049]/[3760] Speed: 89.069964 samples/sec accuracy=65.531250 loss=1.453756 lr=0.003001 Epoch[178] Batch [0099]/[3760] Speed: 119.700400 samples/sec accuracy=66.234375 loss=1.414510 lr=0.002996 Epoch[178] Batch [0149]/[3760] Speed: 120.105330 samples/sec accuracy=66.020833 loss=1.421826 lr=0.002992 Epoch[178] Batch [0199]/[3760] Speed: 120.279419 samples/sec accuracy=66.210938 loss=1.409809 lr=0.002987 Epoch[178] Batch [0249]/[3760] Speed: 119.266176 samples/sec accuracy=66.437500 loss=1.395803 lr=0.002983 Epoch[178] Batch 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accuracy=66.441667 loss=1.390597 lr=0.002939 Epoch[178] Batch [0799]/[3760] Speed: 120.033851 samples/sec accuracy=66.457031 loss=1.390521 lr=0.002935 Epoch[178] Batch [0849]/[3760] Speed: 120.020994 samples/sec accuracy=66.509191 loss=1.389921 lr=0.002931 Epoch[178] Batch [0899]/[3760] Speed: 119.331347 samples/sec accuracy=66.434028 loss=1.392200 lr=0.002926 Epoch[178] Batch [0949]/[3760] Speed: 120.009387 samples/sec accuracy=66.320724 loss=1.394318 lr=0.002922 Epoch[178] Batch [0999]/[3760] Speed: 119.534229 samples/sec accuracy=66.234375 loss=1.396989 lr=0.002918 Epoch[178] Batch [1049]/[3760] Speed: 119.291915 samples/sec accuracy=66.184524 loss=1.398462 lr=0.002913 Epoch[178] Batch [1099]/[3760] Speed: 120.532368 samples/sec accuracy=66.173295 loss=1.400583 lr=0.002909 Epoch[178] Batch [1149]/[3760] Speed: 119.346070 samples/sec accuracy=66.164402 loss=1.400750 lr=0.002905 Epoch[178] Batch [1199]/[3760] Speed: 118.764049 samples/sec accuracy=66.170573 loss=1.399825 lr=0.002900 Epoch[178] Batch [1249]/[3760] Speed: 119.404062 samples/sec accuracy=66.156250 loss=1.400934 lr=0.002896 Epoch[178] Batch [1299]/[3760] Speed: 119.608789 samples/sec accuracy=66.131010 loss=1.402796 lr=0.002892 Epoch[178] Batch [1349]/[3760] Speed: 120.562166 samples/sec accuracy=66.118056 loss=1.403437 lr=0.002887 Epoch[178] Batch [1399]/[3760] Speed: 119.394227 samples/sec accuracy=66.114955 loss=1.403780 lr=0.002883 Epoch[178] Batch [1449]/[3760] Speed: 119.610116 samples/sec accuracy=66.080819 loss=1.405384 lr=0.002879 Epoch[178] Batch [1499]/[3760] Speed: 118.779221 samples/sec accuracy=66.100000 loss=1.404748 lr=0.002874 Epoch[178] Batch [1549]/[3760] Speed: 117.503024 samples/sec accuracy=66.068548 loss=1.406255 lr=0.002870 Epoch[178] Batch [1599]/[3760] Speed: 120.305302 samples/sec accuracy=66.055664 loss=1.407149 lr=0.002866 Epoch[178] Batch [1649]/[3760] Speed: 120.300780 samples/sec accuracy=66.087121 loss=1.406186 lr=0.002861 Epoch[178] Batch [1699]/[3760] Speed: 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loss=1.401721 lr=0.002819 Epoch[178] Batch [2199]/[3760] Speed: 119.775298 samples/sec accuracy=66.144176 loss=1.401813 lr=0.002814 Epoch[178] Batch [2249]/[3760] Speed: 119.443106 samples/sec accuracy=66.151389 loss=1.400823 lr=0.002810 Epoch[178] Batch [2299]/[3760] Speed: 119.632003 samples/sec accuracy=66.148777 loss=1.400119 lr=0.002806 Epoch[178] Batch [2349]/[3760] Speed: 119.404445 samples/sec accuracy=66.128989 loss=1.401371 lr=0.002802 Epoch[178] Batch [2399]/[3760] Speed: 120.161122 samples/sec accuracy=66.160156 loss=1.399979 lr=0.002797 Epoch[178] Batch [2449]/[3760] Speed: 119.556931 samples/sec accuracy=66.151148 loss=1.400158 lr=0.002793 Epoch[178] Batch [2499]/[3760] Speed: 120.455723 samples/sec accuracy=66.158125 loss=1.399838 lr=0.002789 Epoch[178] Batch [2549]/[3760] Speed: 119.925610 samples/sec accuracy=66.156863 loss=1.399934 lr=0.002785 Epoch[178] Batch [2599]/[3760] Speed: 120.209151 samples/sec accuracy=66.159856 loss=1.399868 lr=0.002780 Epoch[178] Batch 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accuracy=66.142137 loss=1.399279 lr=0.002738 Epoch[178] Batch [3149]/[3760] Speed: 120.330724 samples/sec accuracy=66.137897 loss=1.399300 lr=0.002734 Epoch[178] Batch [3199]/[3760] Speed: 120.226686 samples/sec accuracy=66.139648 loss=1.398950 lr=0.002730 Epoch[178] Batch [3249]/[3760] Speed: 120.613176 samples/sec accuracy=66.131731 loss=1.399531 lr=0.002725 Epoch[178] Batch [3299]/[3760] Speed: 120.347120 samples/sec accuracy=66.123580 loss=1.399912 lr=0.002721 Epoch[178] Batch [3349]/[3760] Speed: 119.844276 samples/sec accuracy=66.115672 loss=1.399688 lr=0.002717 Epoch[178] Batch [3399]/[3760] Speed: 119.269598 samples/sec accuracy=66.125919 loss=1.399671 lr=0.002713 Epoch[178] Batch [3449]/[3760] Speed: 119.827269 samples/sec accuracy=66.130435 loss=1.399647 lr=0.002709 Epoch[178] Batch [3499]/[3760] Speed: 119.648075 samples/sec accuracy=66.140179 loss=1.399370 lr=0.002704 Epoch[178] Batch [3549]/[3760] Speed: 119.961714 samples/sec accuracy=66.127641 loss=1.399655 lr=0.002700 Epoch[178] Batch [3599]/[3760] Speed: 120.108393 samples/sec accuracy=66.098958 loss=1.400141 lr=0.002696 Epoch[178] Batch [3649]/[3760] Speed: 119.668259 samples/sec accuracy=66.103596 loss=1.399628 lr=0.002692 Epoch[178] Batch [3699]/[3760] Speed: 119.921923 samples/sec accuracy=66.096706 loss=1.399391 lr=0.002688 Epoch[178] Batch [3749]/[3760] Speed: 123.220107 samples/sec accuracy=66.105417 loss=1.399097 lr=0.002684 Batch [0049]/[0303]: acc-top1=61.312500 acc-top5=82.343750 Batch [0099]/[0303]: acc-top1=59.218750 acc-top5=81.734375 Batch [0149]/[0303]: acc-top1=60.895833 acc-top5=82.427083 Batch [0199]/[0303]: acc-top1=63.406250 acc-top5=83.789062 Batch [0249]/[0303]: acc-top1=62.806250 acc-top5=83.506250 Batch [0299]/[0303]: acc-top1=62.156250 acc-top5=83.500000 [Epoch 178] training: accuracy=66.102477 loss=1.399155 [Epoch 178] speed: 119 samples/sec time cost: 2136.134194 [Epoch 178] validation: acc-top1=62.133870 acc-top5=83.524134 loss=1.728801 Epoch[179] Batch [0049]/[3760] Speed: 87.809697 samples/sec accuracy=67.187500 loss=1.347535 lr=0.002679 Epoch[179] Batch [0099]/[3760] Speed: 119.431736 samples/sec accuracy=67.296875 loss=1.328690 lr=0.002674 Epoch[179] Batch [0149]/[3760] Speed: 119.126597 samples/sec accuracy=66.677083 loss=1.359976 lr=0.002670 Epoch[179] Batch [0199]/[3760] Speed: 119.171304 samples/sec accuracy=66.875000 loss=1.352051 lr=0.002666 Epoch[179] Batch [0249]/[3760] Speed: 119.507020 samples/sec accuracy=67.006250 loss=1.353377 lr=0.002662 Epoch[179] Batch [0299]/[3760] Speed: 119.822349 samples/sec accuracy=66.890625 loss=1.344092 lr=0.002658 Epoch[179] Batch [0349]/[3760] Speed: 119.504747 samples/sec accuracy=67.183036 loss=1.340445 lr=0.002654 Epoch[179] Batch [0399]/[3760] Speed: 119.447174 samples/sec accuracy=67.042969 loss=1.347353 lr=0.002650 Epoch[179] Batch [0449]/[3760] Speed: 118.851711 samples/sec accuracy=66.951389 loss=1.354318 lr=0.002645 Epoch[179] Batch [0499]/[3760] Speed: 119.922838 samples/sec accuracy=66.818750 loss=1.353706 lr=0.002641 Epoch[179] Batch [0549]/[3760] Speed: 119.458357 samples/sec accuracy=66.963068 loss=1.347856 lr=0.002637 Epoch[179] Batch [0599]/[3760] Speed: 119.255931 samples/sec accuracy=66.984375 loss=1.346478 lr=0.002633 Epoch[179] Batch [0649]/[3760] Speed: 119.706000 samples/sec accuracy=66.961538 loss=1.346789 lr=0.002629 Epoch[179] Batch [0699]/[3760] Speed: 119.779524 samples/sec accuracy=67.011161 loss=1.347207 lr=0.002625 Epoch[179] Batch [0749]/[3760] Speed: 120.308808 samples/sec accuracy=67.112500 loss=1.346215 lr=0.002621 Epoch[179] Batch [0799]/[3760] Speed: 120.057299 samples/sec accuracy=67.056641 loss=1.348889 lr=0.002616 Epoch[179] Batch [0849]/[3760] Speed: 117.441331 samples/sec accuracy=67.003676 loss=1.349861 lr=0.002612 Epoch[179] Batch [0899]/[3760] Speed: 119.645010 samples/sec accuracy=66.972222 loss=1.352162 lr=0.002608 Epoch[179] Batch [0949]/[3760] Speed: 119.156764 samples/sec accuracy=66.968750 loss=1.352155 lr=0.002604 Epoch[179] Batch [0999]/[3760] Speed: 118.798198 samples/sec accuracy=66.954688 loss=1.352130 lr=0.002600 Epoch[179] Batch [1049]/[3760] Speed: 120.053036 samples/sec accuracy=67.053571 loss=1.349750 lr=0.002596 Epoch[179] Batch [1099]/[3760] Speed: 119.847744 samples/sec accuracy=67.036932 loss=1.351457 lr=0.002592 Epoch[179] Batch [1149]/[3760] Speed: 119.440082 samples/sec accuracy=67.005435 loss=1.353407 lr=0.002588 Epoch[179] Batch [1199]/[3760] Speed: 119.803474 samples/sec accuracy=67.018229 loss=1.352655 lr=0.002584 Epoch[179] Batch [1249]/[3760] Speed: 119.099557 samples/sec accuracy=66.998750 loss=1.353609 lr=0.002580 Epoch[179] Batch [1299]/[3760] Speed: 120.403633 samples/sec accuracy=66.955529 loss=1.354693 lr=0.002575 Epoch[179] Batch [1349]/[3760] Speed: 119.591692 samples/sec accuracy=66.914352 loss=1.356897 lr=0.002571 Epoch[179] Batch [1399]/[3760] Speed: 120.219393 samples/sec accuracy=66.906250 loss=1.356482 lr=0.002567 Epoch[179] Batch [1449]/[3760] Speed: 119.930176 samples/sec accuracy=66.904095 loss=1.356419 lr=0.002563 Epoch[179] Batch [1499]/[3760] Speed: 119.295126 samples/sec accuracy=66.947917 loss=1.356091 lr=0.002559 Epoch[179] Batch [1549]/[3760] Speed: 120.320938 samples/sec accuracy=66.933468 loss=1.356899 lr=0.002555 Epoch[179] Batch [1599]/[3760] Speed: 119.915353 samples/sec accuracy=66.930664 loss=1.357353 lr=0.002551 Epoch[179] Batch [1649]/[3760] Speed: 120.119556 samples/sec accuracy=66.981061 loss=1.355739 lr=0.002547 Epoch[179] Batch [1699]/[3760] Speed: 119.588301 samples/sec accuracy=66.949449 loss=1.355543 lr=0.002543 Epoch[179] Batch [1749]/[3760] Speed: 120.333610 samples/sec accuracy=66.960714 loss=1.354937 lr=0.002539 Epoch[179] Batch [1799]/[3760] Speed: 119.151866 samples/sec accuracy=66.978299 loss=1.354547 lr=0.002535 Epoch[179] Batch [1849]/[3760] Speed: 119.652211 samples/sec accuracy=66.972128 loss=1.355081 lr=0.002531 Epoch[179] Batch [1899]/[3760] Speed: 119.819078 samples/sec accuracy=66.944901 loss=1.356852 lr=0.002527 Epoch[179] Batch [1949]/[3760] Speed: 119.790405 samples/sec accuracy=66.961538 loss=1.357340 lr=0.002523 Epoch[179] Batch [1999]/[3760] Speed: 119.248313 samples/sec accuracy=66.953906 loss=1.358996 lr=0.002519 Epoch[179] Batch [2049]/[3760] Speed: 119.095058 samples/sec accuracy=66.959604 loss=1.358711 lr=0.002515 Epoch[179] Batch [2099]/[3760] Speed: 119.931268 samples/sec accuracy=66.941964 loss=1.359566 lr=0.002510 Epoch[179] Batch [2149]/[3760] Speed: 118.896724 samples/sec accuracy=66.929506 loss=1.360235 lr=0.002506 Epoch[179] Batch [2199]/[3760] Speed: 119.896279 samples/sec accuracy=66.938920 loss=1.359947 lr=0.002502 Epoch[179] Batch [2249]/[3760] Speed: 119.610250 samples/sec accuracy=66.956944 loss=1.359701 lr=0.002498 Epoch[179] Batch [2299]/[3760] Speed: 117.927079 samples/sec accuracy=66.942255 loss=1.359733 lr=0.002494 Epoch[179] Batch [2349]/[3760] Speed: 120.036369 samples/sec accuracy=66.928856 loss=1.359892 lr=0.002490 Epoch[179] Batch [2399]/[3760] Speed: 119.766695 samples/sec accuracy=66.951172 loss=1.359251 lr=0.002486 Epoch[179] Batch [2449]/[3760] Speed: 119.559854 samples/sec accuracy=66.950893 loss=1.359407 lr=0.002482 Epoch[179] Batch [2499]/[3760] Speed: 119.843766 samples/sec accuracy=66.961250 loss=1.359415 lr=0.002478 Epoch[179] Batch [2549]/[3760] Speed: 119.759124 samples/sec accuracy=66.949755 loss=1.359826 lr=0.002474 Epoch[179] Batch [2599]/[3760] Speed: 119.269978 samples/sec accuracy=66.962139 loss=1.359138 lr=0.002470 Epoch[179] Batch [2649]/[3760] Speed: 120.691237 samples/sec accuracy=66.968750 loss=1.358741 lr=0.002466 Epoch[179] Batch [2699]/[3760] Speed: 119.455307 samples/sec accuracy=67.001736 loss=1.358073 lr=0.002462 Epoch[179] Batch [2749]/[3760] Speed: 119.415582 samples/sec accuracy=66.998864 loss=1.358204 lr=0.002458 Epoch[179] Batch [2799]/[3760] Speed: 119.817027 samples/sec accuracy=67.021205 loss=1.357457 lr=0.002454 Epoch[179] Batch [2849]/[3760] Speed: 119.565323 samples/sec accuracy=67.010417 loss=1.357420 lr=0.002450 Epoch[179] Batch [2899]/[3760] Speed: 119.193801 samples/sec accuracy=67.013470 loss=1.357691 lr=0.002446 Epoch[179] Batch [2949]/[3760] Speed: 120.168434 samples/sec accuracy=67.016419 loss=1.358694 lr=0.002442 Epoch[179] Batch [2999]/[3760] Speed: 120.080684 samples/sec accuracy=67.007292 loss=1.359424 lr=0.002438 Epoch[179] Batch [3049]/[3760] Speed: 119.698697 samples/sec accuracy=66.988730 loss=1.359787 lr=0.002434 Epoch[179] Batch [3099]/[3760] Speed: 119.248667 samples/sec accuracy=66.966734 loss=1.360450 lr=0.002430 Epoch[179] Batch [3149]/[3760] Speed: 119.664933 samples/sec accuracy=66.976687 loss=1.359927 lr=0.002426 Epoch[179] Batch [3199]/[3760] Speed: 119.312183 samples/sec accuracy=66.962402 loss=1.360552 lr=0.002422 Epoch[179] Batch [3249]/[3760] Speed: 119.596486 samples/sec accuracy=66.943269 loss=1.361331 lr=0.002419 Epoch[179] Batch [3299]/[3760] Speed: 119.730113 samples/sec accuracy=66.926136 loss=1.362305 lr=0.002415 Epoch[179] Batch [3349]/[3760] Speed: 119.174028 samples/sec accuracy=66.905784 loss=1.363123 lr=0.002411 Epoch[179] Batch [3399]/[3760] Speed: 119.181331 samples/sec accuracy=66.876379 loss=1.363862 lr=0.002407 Epoch[179] Batch [3449]/[3760] Speed: 119.298768 samples/sec accuracy=66.858696 loss=1.364306 lr=0.002403 Epoch[179] Batch [3499]/[3760] Speed: 118.810853 samples/sec accuracy=66.875893 loss=1.364224 lr=0.002399 Epoch[179] Batch [3549]/[3760] Speed: 119.251142 samples/sec accuracy=66.873680 loss=1.364818 lr=0.002395 Epoch[179] Batch [3599]/[3760] Speed: 119.539020 samples/sec accuracy=66.870660 loss=1.364819 lr=0.002391 Epoch[179] Batch [3649]/[3760] Speed: 120.847433 samples/sec accuracy=66.875000 loss=1.364454 lr=0.002387 Epoch[179] Batch [3699]/[3760] Speed: 119.789921 samples/sec accuracy=66.862753 loss=1.364664 lr=0.002383 Epoch[179] Batch [3749]/[3760] Speed: 123.601520 samples/sec accuracy=66.848333 loss=1.365471 lr=0.002379 Batch [0049]/[0303]: acc-top1=62.718750 acc-top5=82.406250 Batch [0099]/[0303]: acc-top1=59.312500 acc-top5=82.109375 Batch [0149]/[0303]: acc-top1=60.635417 acc-top5=82.583333 Batch [0199]/[0303]: acc-top1=63.218750 acc-top5=84.062500 Batch [0249]/[0303]: acc-top1=62.850000 acc-top5=83.693750 Batch [0299]/[0303]: acc-top1=62.296875 acc-top5=83.697917 [Epoch 179] training: accuracy=66.844249 loss=1.365604 [Epoch 179] speed: 119 samples/sec time cost: 2138.564613 [Epoch 179] validation: acc-top1=62.226691 acc-top5=83.694307 loss=1.701077 Epoch[180] Batch [0049]/[3759] Speed: 88.903736 samples/sec accuracy=68.062500 loss=1.363527 lr=0.002374 Epoch[180] Batch [0099]/[3759] Speed: 120.569865 samples/sec accuracy=67.734375 loss=1.322456 lr=0.002370 Epoch[180] Batch [0149]/[3759] Speed: 117.585768 samples/sec accuracy=67.958333 loss=1.315461 lr=0.002366 Epoch[180] Batch [0199]/[3759] Speed: 119.508657 samples/sec accuracy=67.945312 loss=1.317191 lr=0.002363 Epoch[180] Batch [0249]/[3759] Speed: 119.626213 samples/sec accuracy=67.937500 loss=1.319984 lr=0.002359 Epoch[180] Batch [0299]/[3759] Speed: 120.195064 samples/sec accuracy=67.854167 loss=1.329517 lr=0.002355 Epoch[180] Batch [0349]/[3759] Speed: 119.674856 samples/sec accuracy=67.736607 loss=1.338120 lr=0.002351 Epoch[180] Batch [0399]/[3759] Speed: 120.106017 samples/sec accuracy=67.703125 loss=1.336915 lr=0.002347 Epoch[180] Batch [0449]/[3759] Speed: 120.169677 samples/sec accuracy=67.732639 loss=1.335919 lr=0.002343 Epoch[180] Batch [0499]/[3759] Speed: 119.960004 samples/sec accuracy=67.793750 loss=1.335191 lr=0.002339 Epoch[180] Batch [0549]/[3759] Speed: 120.068726 samples/sec accuracy=67.670455 loss=1.339364 lr=0.002335 Epoch[180] Batch [0599]/[3759] Speed: 120.372226 samples/sec accuracy=67.674479 loss=1.339296 lr=0.002331 Epoch[180] Batch [0649]/[3759] Speed: 119.981726 samples/sec accuracy=67.634615 loss=1.339697 lr=0.002327 Epoch[180] Batch [0699]/[3759] Speed: 119.341461 samples/sec accuracy=67.698661 loss=1.337769 lr=0.002324 Epoch[180] Batch [0749]/[3759] Speed: 118.824470 samples/sec accuracy=67.718750 loss=1.335202 lr=0.002320 Epoch[180] Batch [0799]/[3759] Speed: 119.635304 samples/sec accuracy=67.648438 loss=1.339151 lr=0.002316 Epoch[180] Batch [0849]/[3759] Speed: 119.845733 samples/sec accuracy=67.593750 loss=1.342336 lr=0.002312 Epoch[180] Batch [0899]/[3759] Speed: 119.417663 samples/sec accuracy=67.635417 loss=1.338179 lr=0.002308 Epoch[180] Batch [0949]/[3759] Speed: 119.709890 samples/sec accuracy=67.672697 loss=1.337703 lr=0.002304 Epoch[180] Batch [0999]/[3759] Speed: 119.598985 samples/sec accuracy=67.681250 loss=1.337904 lr=0.002300 Epoch[180] Batch [1049]/[3759] Speed: 120.315344 samples/sec accuracy=67.662202 loss=1.337164 lr=0.002296 Epoch[180] Batch [1099]/[3759] Speed: 119.576476 samples/sec accuracy=67.633523 loss=1.337046 lr=0.002293 Epoch[180] Batch [1149]/[3759] Speed: 120.019148 samples/sec accuracy=67.664402 loss=1.335320 lr=0.002289 Epoch[180] Batch [1199]/[3759] Speed: 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loss=1.334571 lr=0.002250 Epoch[180] Batch [1699]/[3759] Speed: 119.938284 samples/sec accuracy=67.622243 loss=1.336655 lr=0.002246 Epoch[180] Batch [1749]/[3759] Speed: 119.424708 samples/sec accuracy=67.600000 loss=1.337278 lr=0.002243 Epoch[180] Batch [1799]/[3759] Speed: 119.706098 samples/sec accuracy=67.645833 loss=1.334965 lr=0.002239 Epoch[180] Batch [1849]/[3759] Speed: 119.910030 samples/sec accuracy=67.611486 loss=1.336591 lr=0.002235 Epoch[180] Batch [1899]/[3759] Speed: 119.352299 samples/sec accuracy=67.649671 loss=1.335839 lr=0.002231 Epoch[180] Batch [1949]/[3759] Speed: 119.850588 samples/sec accuracy=67.673878 loss=1.334680 lr=0.002227 Epoch[180] Batch [1999]/[3759] Speed: 120.065997 samples/sec accuracy=67.656250 loss=1.335595 lr=0.002224 Epoch[180] Batch [2049]/[3759] Speed: 119.650818 samples/sec accuracy=67.621189 loss=1.337087 lr=0.002220 Epoch[180] Batch [2099]/[3759] Speed: 119.020298 samples/sec accuracy=67.604167 loss=1.337078 lr=0.002216 Epoch[180] Batch 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accuracy=67.538462 loss=1.340428 lr=0.002178 Epoch[180] Batch [2649]/[3759] Speed: 119.627951 samples/sec accuracy=67.515920 loss=1.341053 lr=0.002174 Epoch[180] Batch [2699]/[3759] Speed: 119.171712 samples/sec accuracy=67.532986 loss=1.341209 lr=0.002171 Epoch[180] Batch [2749]/[3759] Speed: 119.522613 samples/sec accuracy=67.526136 loss=1.340952 lr=0.002167 Epoch[180] Batch [2799]/[3759] Speed: 119.451473 samples/sec accuracy=67.529576 loss=1.340820 lr=0.002163 Epoch[180] Batch [2849]/[3759] Speed: 120.015286 samples/sec accuracy=67.547149 loss=1.339889 lr=0.002159 Epoch[180] Batch [2899]/[3759] Speed: 118.763764 samples/sec accuracy=67.537716 loss=1.340250 lr=0.002156 Epoch[180] Batch [2949]/[3759] Speed: 119.949053 samples/sec accuracy=67.530720 loss=1.340305 lr=0.002152 Epoch[180] Batch [2999]/[3759] Speed: 120.150767 samples/sec accuracy=67.540104 loss=1.339773 lr=0.002148 Epoch[180] Batch [3049]/[3759] Speed: 119.648335 samples/sec accuracy=67.539959 loss=1.339647 lr=0.002144 Epoch[180] Batch [3099]/[3759] Speed: 119.640545 samples/sec accuracy=67.538810 loss=1.339387 lr=0.002141 Epoch[180] Batch [3149]/[3759] Speed: 120.273198 samples/sec accuracy=67.529266 loss=1.339897 lr=0.002137 Epoch[180] Batch [3199]/[3759] Speed: 115.996695 samples/sec accuracy=67.542480 loss=1.339138 lr=0.002133 Epoch[180] Batch [3249]/[3759] Speed: 119.773026 samples/sec accuracy=67.549038 loss=1.339003 lr=0.002129 Epoch[180] Batch [3299]/[3759] Speed: 119.875613 samples/sec accuracy=67.553030 loss=1.338431 lr=0.002126 Epoch[180] Batch [3349]/[3759] Speed: 120.184341 samples/sec accuracy=67.548507 loss=1.338495 lr=0.002122 Epoch[180] Batch [3399]/[3759] Speed: 120.143693 samples/sec accuracy=67.567096 loss=1.337858 lr=0.002118 Epoch[180] Batch [3449]/[3759] Speed: 119.693815 samples/sec accuracy=67.574275 loss=1.337158 lr=0.002115 Epoch[180] Batch [3499]/[3759] Speed: 119.568689 samples/sec accuracy=67.581696 loss=1.336775 lr=0.002111 Epoch[180] Batch [3549]/[3759] Speed: 119.805516 samples/sec accuracy=67.587148 loss=1.336678 lr=0.002107 Epoch[180] Batch [3599]/[3759] Speed: 119.469561 samples/sec accuracy=67.587674 loss=1.336698 lr=0.002103 Epoch[180] Batch [3649]/[3759] Speed: 119.616839 samples/sec accuracy=67.564212 loss=1.337172 lr=0.002100 Epoch[180] Batch [3699]/[3759] Speed: 119.511992 samples/sec accuracy=67.552365 loss=1.337367 lr=0.002096 Epoch[180] Batch [3749]/[3759] Speed: 122.807641 samples/sec accuracy=67.538750 loss=1.337787 lr=0.002092 Batch [0049]/[0303]: acc-top1=62.625000 acc-top5=83.218750 Batch [0099]/[0303]: acc-top1=59.343750 acc-top5=82.640625 Batch [0149]/[0303]: acc-top1=60.895833 acc-top5=83.250000 Batch [0199]/[0303]: acc-top1=63.617188 acc-top5=84.554688 Batch [0249]/[0303]: acc-top1=63.162500 acc-top5=84.050000 Batch [0299]/[0303]: acc-top1=62.838542 acc-top5=84.020833 [Epoch 180] training: accuracy=67.539156 loss=1.337700 [Epoch 180] speed: 119 samples/sec time cost: 2136.553276 [Epoch 180] validation: acc-top1=62.762995 acc-top5=84.024340 loss=1.699694 Epoch[181] Batch [0049]/[3760] Speed: 88.354415 samples/sec accuracy=69.250000 loss=1.249526 lr=0.002088 Epoch[181] Batch [0099]/[3760] Speed: 119.757049 samples/sec accuracy=68.250000 loss=1.305585 lr=0.002084 Epoch[181] Batch [0149]/[3760] Speed: 119.587992 samples/sec accuracy=68.239583 loss=1.307598 lr=0.002081 Epoch[181] Batch [0199]/[3760] Speed: 119.969690 samples/sec accuracy=68.351562 loss=1.301363 lr=0.002077 Epoch[181] Batch [0249]/[3760] Speed: 119.888899 samples/sec accuracy=68.512500 loss=1.298662 lr=0.002073 Epoch[181] Batch [0299]/[3760] Speed: 120.179210 samples/sec accuracy=68.401042 loss=1.302117 lr=0.002070 Epoch[181] Batch [0349]/[3760] Speed: 119.288587 samples/sec accuracy=68.294643 loss=1.301024 lr=0.002066 Epoch[181] Batch [0399]/[3760] Speed: 120.782696 samples/sec accuracy=68.261719 loss=1.301705 lr=0.002062 Epoch[181] Batch [0449]/[3760] Speed: 119.810925 samples/sec accuracy=68.243056 loss=1.305638 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accuracy=67.930804 loss=1.314101 lr=0.001990 Epoch[181] Batch [1449]/[3760] Speed: 119.456685 samples/sec accuracy=67.940733 loss=1.313121 lr=0.001986 Epoch[181] Batch [1499]/[3760] Speed: 119.705680 samples/sec accuracy=67.947917 loss=1.313531 lr=0.001982 Epoch[181] Batch [1549]/[3760] Speed: 119.115856 samples/sec accuracy=67.900202 loss=1.314815 lr=0.001979 Epoch[181] Batch [1599]/[3760] Speed: 118.945605 samples/sec accuracy=67.895508 loss=1.314554 lr=0.001975 Epoch[181] Batch [1649]/[3760] Speed: 119.378657 samples/sec accuracy=67.924242 loss=1.313487 lr=0.001972 Epoch[181] Batch [1699]/[3760] Speed: 119.886981 samples/sec accuracy=67.922794 loss=1.313526 lr=0.001968 Epoch[181] Batch [1749]/[3760] Speed: 119.285745 samples/sec accuracy=67.936607 loss=1.313329 lr=0.001964 Epoch[181] Batch [1799]/[3760] Speed: 120.201210 samples/sec accuracy=67.969618 loss=1.311970 lr=0.001961 Epoch[181] Batch [1849]/[3760] Speed: 119.524463 samples/sec accuracy=67.983108 loss=1.310966 lr=0.001957 Epoch[181] Batch [1899]/[3760] Speed: 118.565708 samples/sec accuracy=67.980263 loss=1.310383 lr=0.001954 Epoch[181] Batch [1949]/[3760] Speed: 119.467112 samples/sec accuracy=67.973558 loss=1.310715 lr=0.001950 Epoch[181] Batch [1999]/[3760] Speed: 119.527760 samples/sec accuracy=67.971094 loss=1.309934 lr=0.001947 Epoch[181] Batch [2049]/[3760] Speed: 118.475852 samples/sec accuracy=67.973323 loss=1.310555 lr=0.001943 Epoch[181] Batch [2099]/[3760] Speed: 119.524912 samples/sec accuracy=67.991071 loss=1.309638 lr=0.001940 Epoch[181] Batch [2149]/[3760] Speed: 119.409042 samples/sec accuracy=68.000000 loss=1.310042 lr=0.001936 Epoch[181] Batch [2199]/[3760] Speed: 119.970610 samples/sec accuracy=68.012074 loss=1.310146 lr=0.001932 Epoch[181] Batch [2249]/[3760] Speed: 119.802441 samples/sec accuracy=68.018056 loss=1.310031 lr=0.001929 Epoch[181] Batch [2299]/[3760] Speed: 119.467294 samples/sec accuracy=68.035326 loss=1.309305 lr=0.001925 Epoch[181] Batch [2349]/[3760] Speed: 119.633064 samples/sec accuracy=68.018617 loss=1.309971 lr=0.001922 Epoch[181] Batch [2399]/[3760] Speed: 119.584103 samples/sec accuracy=68.024089 loss=1.309888 lr=0.001918 Epoch[181] Batch [2449]/[3760] Speed: 119.639734 samples/sec accuracy=68.028699 loss=1.310251 lr=0.001915 Epoch[181] Batch [2499]/[3760] Speed: 119.189289 samples/sec accuracy=68.005000 loss=1.310631 lr=0.001911 Epoch[181] Batch [2549]/[3760] Speed: 117.102679 samples/sec accuracy=68.003064 loss=1.310814 lr=0.001908 Epoch[181] Batch [2599]/[3760] Speed: 119.192408 samples/sec accuracy=68.022837 loss=1.310005 lr=0.001904 Epoch[181] Batch [2649]/[3760] Speed: 119.281855 samples/sec accuracy=68.012972 loss=1.310389 lr=0.001901 Epoch[181] Batch [2699]/[3760] Speed: 119.784921 samples/sec accuracy=67.990741 loss=1.311217 lr=0.001897 Epoch[181] Batch [2749]/[3760] Speed: 119.059259 samples/sec accuracy=67.992614 loss=1.310791 lr=0.001894 Epoch[181] Batch [2799]/[3760] Speed: 120.044476 samples/sec accuracy=67.985491 loss=1.311288 lr=0.001890 Epoch[181] Batch [2849]/[3760] Speed: 118.968664 samples/sec accuracy=67.971491 loss=1.311159 lr=0.001887 Epoch[181] Batch [2899]/[3760] Speed: 120.184366 samples/sec accuracy=67.960129 loss=1.311107 lr=0.001883 Epoch[181] Batch [2949]/[3760] Speed: 119.506167 samples/sec accuracy=67.955508 loss=1.311408 lr=0.001879 Epoch[181] Batch [2999]/[3760] Speed: 119.258483 samples/sec accuracy=67.963021 loss=1.311036 lr=0.001876 Epoch[181] Batch [3049]/[3760] Speed: 119.877505 samples/sec accuracy=67.971824 loss=1.311040 lr=0.001872 Epoch[181] Batch [3099]/[3760] Speed: 119.400025 samples/sec accuracy=67.972278 loss=1.311687 lr=0.001869 Epoch[181] Batch [3149]/[3760] Speed: 119.576571 samples/sec accuracy=67.945437 loss=1.312386 lr=0.001866 Epoch[181] Batch [3199]/[3760] Speed: 118.784641 samples/sec accuracy=67.935059 loss=1.312585 lr=0.001862 Epoch[181] Batch [3249]/[3760] Speed: 118.909547 samples/sec accuracy=67.939904 loss=1.312091 lr=0.001859 Epoch[181] Batch [3299]/[3760] Speed: 120.341836 samples/sec accuracy=67.949337 loss=1.312078 lr=0.001855 Epoch[181] Batch [3349]/[3760] Speed: 119.498929 samples/sec accuracy=67.952892 loss=1.312210 lr=0.001852 Epoch[181] Batch [3399]/[3760] Speed: 119.299328 samples/sec accuracy=67.965074 loss=1.312308 lr=0.001848 Epoch[181] Batch [3449]/[3760] Speed: 120.023639 samples/sec accuracy=67.957428 loss=1.312228 lr=0.001845 Epoch[181] Batch [3499]/[3760] Speed: 118.683647 samples/sec accuracy=67.953571 loss=1.312440 lr=0.001841 Epoch[181] Batch [3549]/[3760] Speed: 118.979458 samples/sec accuracy=67.962588 loss=1.312160 lr=0.001838 Epoch[181] Batch [3599]/[3760] Speed: 119.370848 samples/sec accuracy=67.976562 loss=1.311649 lr=0.001834 Epoch[181] Batch [3649]/[3760] Speed: 120.390596 samples/sec accuracy=67.974743 loss=1.311837 lr=0.001831 Epoch[181] Batch [3699]/[3760] Speed: 119.424188 samples/sec accuracy=67.975929 loss=1.311782 lr=0.001827 Epoch[181] Batch [3749]/[3760] Speed: 123.666732 samples/sec accuracy=67.969167 loss=1.312308 lr=0.001824 Batch [0049]/[0303]: acc-top1=62.906250 acc-top5=83.156250 Batch [0099]/[0303]: acc-top1=59.890625 acc-top5=82.421875 Batch [0149]/[0303]: acc-top1=61.562500 acc-top5=82.937500 Batch [0199]/[0303]: acc-top1=64.140625 acc-top5=84.390625 Batch [0249]/[0303]: acc-top1=63.625000 acc-top5=84.100000 Batch [0299]/[0303]: acc-top1=63.182292 acc-top5=84.104167 [Epoch 181] training: accuracy=67.968750 loss=1.312318 [Epoch 181] speed: 118 samples/sec time cost: 2140.300596 [Epoch 181] validation: acc-top1=63.154909 acc-top5=84.122318 loss=1.666136 Epoch[182] Batch [0049]/[3760] Speed: 88.824963 samples/sec accuracy=67.875000 loss=1.312254 lr=0.001820 Epoch[182] Batch [0099]/[3760] Speed: 119.624600 samples/sec accuracy=68.625000 loss=1.282304 lr=0.001816 Epoch[182] Batch [0149]/[3760] Speed: 119.628492 samples/sec accuracy=68.791667 loss=1.277089 lr=0.001813 Epoch[182] Batch [0199]/[3760] Speed: 119.625812 samples/sec accuracy=68.625000 loss=1.282247 lr=0.001809 Epoch[182] Batch [0249]/[3760] Speed: 116.296841 samples/sec accuracy=68.362500 loss=1.289781 lr=0.001806 Epoch[182] Batch [0299]/[3760] Speed: 119.802351 samples/sec accuracy=68.401042 loss=1.286850 lr=0.001803 Epoch[182] Batch [0349]/[3760] Speed: 120.095906 samples/sec accuracy=68.598214 loss=1.281854 lr=0.001799 Epoch[182] Batch [0399]/[3760] Speed: 119.137721 samples/sec accuracy=68.601562 loss=1.286298 lr=0.001796 Epoch[182] Batch [0449]/[3760] Speed: 119.155690 samples/sec accuracy=68.673611 loss=1.285123 lr=0.001792 Epoch[182] Batch [0499]/[3760] Speed: 119.913698 samples/sec accuracy=68.703125 loss=1.286390 lr=0.001789 Epoch[182] Batch [0549]/[3760] Speed: 120.390616 samples/sec accuracy=68.789773 loss=1.282398 lr=0.001785 Epoch[182] Batch [0599]/[3760] Speed: 119.184795 samples/sec accuracy=68.796875 loss=1.282052 lr=0.001782 Epoch[182] Batch [0649]/[3760] Speed: 118.671644 samples/sec accuracy=68.800481 loss=1.281585 lr=0.001779 Epoch[182] Batch [0699]/[3760] Speed: 119.039367 samples/sec accuracy=68.805804 loss=1.277836 lr=0.001775 Epoch[182] Batch [0749]/[3760] Speed: 118.949593 samples/sec accuracy=68.783333 loss=1.278450 lr=0.001772 Epoch[182] Batch [0799]/[3760] Speed: 119.362952 samples/sec accuracy=68.753906 loss=1.278862 lr=0.001768 Epoch[182] Batch [0849]/[3760] Speed: 119.887287 samples/sec accuracy=68.775735 loss=1.275333 lr=0.001765 Epoch[182] Batch [0899]/[3760] Speed: 119.471913 samples/sec accuracy=68.810764 loss=1.275345 lr=0.001762 Epoch[182] Batch [0949]/[3760] Speed: 119.737160 samples/sec accuracy=68.771382 loss=1.279573 lr=0.001758 Epoch[182] Batch [0999]/[3760] Speed: 118.679335 samples/sec accuracy=68.731250 loss=1.280757 lr=0.001755 Epoch[182] Batch [1049]/[3760] Speed: 119.895102 samples/sec accuracy=68.672619 loss=1.282124 lr=0.001751 Epoch[182] Batch [1099]/[3760] Speed: 119.958031 samples/sec accuracy=68.653409 loss=1.283494 lr=0.001748 Epoch[182] Batch [1149]/[3760] Speed: 119.854472 samples/sec accuracy=68.664402 loss=1.282929 lr=0.001745 Epoch[182] Batch [1199]/[3760] Speed: 119.956688 samples/sec accuracy=68.657552 loss=1.282134 lr=0.001741 Epoch[182] Batch [1249]/[3760] Speed: 119.376186 samples/sec accuracy=68.647500 loss=1.282802 lr=0.001738 Epoch[182] Batch [1299]/[3760] Speed: 119.426267 samples/sec accuracy=68.626202 loss=1.283514 lr=0.001735 Epoch[182] Batch [1349]/[3760] Speed: 119.192604 samples/sec accuracy=68.636574 loss=1.284009 lr=0.001731 Epoch[182] Batch [1399]/[3760] Speed: 119.675639 samples/sec accuracy=68.620536 loss=1.285228 lr=0.001728 Epoch[182] Batch [1449]/[3760] Speed: 119.977879 samples/sec accuracy=68.640086 loss=1.285246 lr=0.001724 Epoch[182] Batch [1499]/[3760] Speed: 119.168404 samples/sec accuracy=68.647917 loss=1.285703 lr=0.001721 Epoch[182] Batch [1549]/[3760] Speed: 119.442181 samples/sec accuracy=68.636089 loss=1.286344 lr=0.001718 Epoch[182] Batch [1599]/[3760] Speed: 120.246572 samples/sec accuracy=68.632812 loss=1.286238 lr=0.001714 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119.984797 samples/sec accuracy=68.661458 loss=1.285635 lr=0.001681 Epoch[182] Batch [2149]/[3760] Speed: 120.631998 samples/sec accuracy=68.666424 loss=1.285415 lr=0.001678 Epoch[182] Batch [2199]/[3760] Speed: 119.514660 samples/sec accuracy=68.656960 loss=1.285652 lr=0.001674 Epoch[182] Batch [2249]/[3760] Speed: 119.751661 samples/sec accuracy=68.658333 loss=1.285823 lr=0.001671 Epoch[182] Batch [2299]/[3760] Speed: 119.614393 samples/sec accuracy=68.665761 loss=1.285753 lr=0.001668 Epoch[182] Batch [2349]/[3760] Speed: 120.100844 samples/sec accuracy=68.630984 loss=1.287182 lr=0.001665 Epoch[182] Batch [2399]/[3760] Speed: 118.973508 samples/sec accuracy=68.644531 loss=1.286209 lr=0.001661 Epoch[182] Batch [2449]/[3760] Speed: 119.756297 samples/sec accuracy=68.665816 loss=1.286086 lr=0.001658 Epoch[182] Batch [2499]/[3760] Speed: 118.585937 samples/sec accuracy=68.687500 loss=1.285912 lr=0.001655 Epoch[182] Batch [2549]/[3760] Speed: 119.049285 samples/sec accuracy=68.674632 loss=1.285996 lr=0.001651 Epoch[182] Batch [2599]/[3760] Speed: 119.635275 samples/sec accuracy=68.679688 loss=1.285877 lr=0.001648 Epoch[182] Batch [2649]/[3760] Speed: 119.129644 samples/sec accuracy=68.714623 loss=1.285160 lr=0.001645 Epoch[182] Batch [2699]/[3760] Speed: 119.106822 samples/sec accuracy=68.706019 loss=1.285442 lr=0.001641 Epoch[182] Batch [2749]/[3760] Speed: 119.885690 samples/sec accuracy=68.725000 loss=1.284522 lr=0.001638 Epoch[182] Batch [2799]/[3760] Speed: 118.207803 samples/sec accuracy=68.707589 loss=1.285136 lr=0.001635 Epoch[182] Batch [2849]/[3760] Speed: 119.134786 samples/sec accuracy=68.684211 loss=1.286144 lr=0.001632 Epoch[182] Batch [2899]/[3760] Speed: 119.172891 samples/sec accuracy=68.689655 loss=1.285878 lr=0.001628 Epoch[182] Batch [2949]/[3760] Speed: 119.539061 samples/sec accuracy=68.680085 loss=1.286331 lr=0.001625 Epoch[182] Batch [2999]/[3760] Speed: 119.986355 samples/sec accuracy=68.666667 loss=1.286684 lr=0.001622 Epoch[182] Batch [3049]/[3760] Speed: 120.033597 samples/sec accuracy=68.680328 loss=1.286448 lr=0.001619 Epoch[182] Batch [3099]/[3760] Speed: 119.548953 samples/sec accuracy=68.672883 loss=1.286637 lr=0.001615 Epoch[182] Batch [3149]/[3760] Speed: 119.999313 samples/sec accuracy=68.663690 loss=1.287024 lr=0.001612 Epoch[182] Batch [3199]/[3760] Speed: 120.462881 samples/sec accuracy=68.656738 loss=1.287402 lr=0.001609 Epoch[182] Batch [3249]/[3760] Speed: 118.746368 samples/sec accuracy=68.668750 loss=1.287168 lr=0.001606 Epoch[182] Batch [3299]/[3760] Speed: 118.899663 samples/sec accuracy=68.702178 loss=1.286083 lr=0.001602 Epoch[182] Batch [3349]/[3760] Speed: 119.690705 samples/sec accuracy=68.718284 loss=1.285072 lr=0.001599 Epoch[182] Batch [3399]/[3760] Speed: 117.009225 samples/sec accuracy=68.725184 loss=1.285047 lr=0.001596 Epoch[182] Batch [3449]/[3760] Speed: 119.358690 samples/sec accuracy=68.732790 loss=1.284805 lr=0.001593 Epoch[182] Batch [3499]/[3760] Speed: 119.044021 samples/sec accuracy=68.728571 loss=1.284749 lr=0.001589 Epoch[182] Batch [3549]/[3760] Speed: 119.513919 samples/sec accuracy=68.717870 loss=1.285109 lr=0.001586 Epoch[182] Batch [3599]/[3760] Speed: 119.957498 samples/sec accuracy=68.712674 loss=1.285114 lr=0.001583 Epoch[182] Batch [3649]/[3760] Speed: 119.260388 samples/sec accuracy=68.723887 loss=1.284738 lr=0.001580 Epoch[182] Batch [3699]/[3760] Speed: 119.366823 samples/sec accuracy=68.708615 loss=1.285456 lr=0.001577 Epoch[182] Batch [3749]/[3760] Speed: 123.048229 samples/sec accuracy=68.692500 loss=1.285731 lr=0.001573 Batch [0049]/[0303]: acc-top1=62.750000 acc-top5=83.218750 Batch [0099]/[0303]: acc-top1=59.937500 acc-top5=82.640625 Batch [0149]/[0303]: acc-top1=61.135417 acc-top5=83.187500 Batch [0199]/[0303]: acc-top1=64.031250 acc-top5=84.609375 Batch [0249]/[0303]: acc-top1=63.531250 acc-top5=84.168750 Batch [0299]/[0303]: acc-top1=63.083333 acc-top5=84.109375 [Epoch 182] training: accuracy=68.690991 loss=1.285560 [Epoch 182] speed: 118 samples/sec time cost: 2141.085912 [Epoch 182] validation: acc-top1=63.036304 acc-top5=84.112005 loss=1.653133 Epoch[183] Batch [0049]/[3759] Speed: 89.267841 samples/sec accuracy=67.843750 loss=1.293084 lr=0.001570 Epoch[183] Batch [0099]/[3759] Speed: 119.345563 samples/sec accuracy=69.015625 loss=1.255238 lr=0.001566 Epoch[183] Batch [0149]/[3759] Speed: 120.106828 samples/sec accuracy=69.052083 loss=1.252955 lr=0.001563 Epoch[183] Batch [0199]/[3759] Speed: 119.517253 samples/sec accuracy=69.343750 loss=1.239504 lr=0.001560 Epoch[183] Batch [0249]/[3759] Speed: 119.023385 samples/sec accuracy=69.681250 loss=1.240981 lr=0.001557 Epoch[183] Batch [0299]/[3759] Speed: 119.337976 samples/sec accuracy=69.536458 loss=1.247517 lr=0.001554 Epoch[183] Batch [0349]/[3759] Speed: 119.331482 samples/sec accuracy=69.571429 loss=1.246903 lr=0.001550 Epoch[183] Batch [0399]/[3759] Speed: 119.635023 samples/sec accuracy=69.636719 loss=1.249029 lr=0.001547 Epoch[183] Batch [0449]/[3759] Speed: 119.132852 samples/sec accuracy=69.583333 loss=1.250981 lr=0.001544 Epoch[183] Batch [0499]/[3759] Speed: 118.888048 samples/sec accuracy=69.500000 loss=1.253668 lr=0.001541 Epoch[183] Batch [0549]/[3759] Speed: 120.068768 samples/sec accuracy=69.517045 loss=1.256999 lr=0.001538 Epoch[183] Batch [0599]/[3759] Speed: 119.513768 samples/sec accuracy=69.609375 loss=1.253795 lr=0.001534 Epoch[183] Batch [0649]/[3759] Speed: 119.473958 samples/sec accuracy=69.550481 loss=1.255953 lr=0.001531 Epoch[183] Batch [0699]/[3759] Speed: 118.567945 samples/sec accuracy=69.551339 loss=1.253381 lr=0.001528 Epoch[183] Batch [0749]/[3759] Speed: 120.433651 samples/sec accuracy=69.495833 loss=1.256096 lr=0.001525 Epoch[183] Batch [0799]/[3759] Speed: 119.459918 samples/sec accuracy=69.429688 loss=1.255695 lr=0.001522 Epoch[183] Batch [0849]/[3759] Speed: 119.139625 samples/sec accuracy=69.391544 loss=1.258402 lr=0.001519 Epoch[183] Batch [0899]/[3759] Speed: 119.798375 samples/sec accuracy=69.373264 loss=1.257617 lr=0.001515 Epoch[183] Batch [0949]/[3759] Speed: 120.299472 samples/sec accuracy=69.391447 loss=1.257620 lr=0.001512 Epoch[183] Batch [0999]/[3759] Speed: 119.575415 samples/sec accuracy=69.373437 loss=1.257877 lr=0.001509 Epoch[183] Batch [1049]/[3759] Speed: 119.773590 samples/sec accuracy=69.366071 loss=1.258102 lr=0.001506 Epoch[183] Batch [1099]/[3759] Speed: 120.120410 samples/sec accuracy=69.356534 loss=1.257526 lr=0.001503 Epoch[183] Batch [1149]/[3759] Speed: 117.944825 samples/sec accuracy=69.354620 loss=1.257099 lr=0.001500 Epoch[183] Batch [1199]/[3759] Speed: 119.792156 samples/sec accuracy=69.433594 loss=1.254965 lr=0.001497 Epoch[183] Batch [1249]/[3759] Speed: 119.715417 samples/sec accuracy=69.482500 loss=1.253230 lr=0.001494 Epoch[183] Batch [1299]/[3759] Speed: 119.548781 samples/sec accuracy=69.487981 loss=1.253202 lr=0.001490 Epoch[183] Batch [1349]/[3759] Speed: 119.291047 samples/sec accuracy=69.406250 loss=1.254115 lr=0.001487 Epoch[183] Batch [1399]/[3759] Speed: 119.316240 samples/sec accuracy=69.452009 loss=1.253274 lr=0.001484 Epoch[183] Batch [1449]/[3759] Speed: 119.611364 samples/sec accuracy=69.449353 loss=1.253516 lr=0.001481 Epoch[183] Batch [1499]/[3759] Speed: 119.835622 samples/sec accuracy=69.446875 loss=1.254305 lr=0.001478 Epoch[183] Batch [1549]/[3759] Speed: 120.417507 samples/sec accuracy=69.424395 loss=1.255979 lr=0.001475 Epoch[183] Batch [1599]/[3759] Speed: 119.233694 samples/sec accuracy=69.391602 loss=1.258198 lr=0.001472 Epoch[183] Batch [1649]/[3759] Speed: 119.423161 samples/sec accuracy=69.411932 loss=1.258007 lr=0.001469 Epoch[183] Batch [1699]/[3759] Speed: 119.574061 samples/sec accuracy=69.418199 loss=1.258325 lr=0.001465 Epoch[183] Batch [1749]/[3759] Speed: 119.900806 samples/sec accuracy=69.404464 loss=1.259113 lr=0.001462 Epoch[183] Batch [1799]/[3759] Speed: 120.860005 samples/sec accuracy=69.413194 loss=1.258205 lr=0.001459 Epoch[183] Batch [1849]/[3759] Speed: 119.412779 samples/sec accuracy=69.400338 loss=1.257907 lr=0.001456 Epoch[183] Batch [1899]/[3759] Speed: 119.857597 samples/sec accuracy=69.416941 loss=1.256482 lr=0.001453 Epoch[183] Batch [1949]/[3759] Speed: 119.903688 samples/sec accuracy=69.390224 loss=1.257279 lr=0.001450 Epoch[183] Batch [1999]/[3759] Speed: 119.306096 samples/sec accuracy=69.391406 loss=1.256621 lr=0.001447 Epoch[183] Batch [2049]/[3759] Speed: 119.874369 samples/sec accuracy=69.371189 loss=1.257564 lr=0.001444 Epoch[183] Batch [2099]/[3759] Speed: 118.403798 samples/sec accuracy=69.371280 loss=1.257329 lr=0.001441 Epoch[183] Batch [2149]/[3759] Speed: 120.076833 samples/sec accuracy=69.347384 loss=1.258356 lr=0.001438 Epoch[183] Batch [2199]/[3759] Speed: 120.152214 samples/sec accuracy=69.329545 loss=1.258673 lr=0.001435 Epoch[183] Batch [2249]/[3759] Speed: 119.244122 samples/sec accuracy=69.320833 loss=1.259310 lr=0.001432 Epoch[183] Batch [2299]/[3759] Speed: 119.768158 samples/sec accuracy=69.313179 loss=1.258746 lr=0.001429 Epoch[183] Batch [2349]/[3759] Speed: 118.874308 samples/sec accuracy=69.297872 loss=1.259191 lr=0.001425 Epoch[183] Batch [2399]/[3759] Speed: 119.192491 samples/sec accuracy=69.311849 loss=1.258782 lr=0.001422 Epoch[183] Batch [2449]/[3759] Speed: 119.835301 samples/sec accuracy=69.294643 loss=1.259172 lr=0.001419 Epoch[183] Batch [2499]/[3759] Speed: 119.990977 samples/sec accuracy=69.273750 loss=1.259721 lr=0.001416 Epoch[183] Batch [2549]/[3759] Speed: 119.704027 samples/sec accuracy=69.307598 loss=1.258204 lr=0.001413 Epoch[183] Batch [2599]/[3759] Speed: 119.820850 samples/sec accuracy=69.299880 loss=1.258716 lr=0.001410 Epoch[183] Batch [2649]/[3759] Speed: 119.550398 samples/sec accuracy=69.320165 loss=1.258443 lr=0.001407 Epoch[183] Batch [2699]/[3759] Speed: 118.964970 samples/sec accuracy=69.311343 loss=1.258776 lr=0.001404 Epoch[183] Batch [2749]/[3759] Speed: 116.416418 samples/sec accuracy=69.313068 loss=1.258357 lr=0.001401 Epoch[183] Batch [2799]/[3759] Speed: 120.642518 samples/sec accuracy=69.320312 loss=1.257977 lr=0.001398 Epoch[183] Batch [2849]/[3759] Speed: 118.871963 samples/sec accuracy=69.299342 loss=1.258781 lr=0.001395 Epoch[183] Batch [2899]/[3759] Speed: 119.581139 samples/sec accuracy=69.290948 loss=1.258978 lr=0.001392 Epoch[183] Batch [2949]/[3759] Speed: 119.753271 samples/sec accuracy=69.295551 loss=1.258480 lr=0.001389 Epoch[183] Batch [2999]/[3759] Speed: 119.577875 samples/sec accuracy=69.269792 loss=1.259074 lr=0.001386 Epoch[183] Batch [3049]/[3759] Speed: 119.999830 samples/sec accuracy=69.285348 loss=1.258761 lr=0.001383 Epoch[183] Batch [3099]/[3759] Speed: 119.589218 samples/sec accuracy=69.265121 loss=1.259722 lr=0.001380 Epoch[183] Batch [3149]/[3759] Speed: 119.648922 samples/sec accuracy=69.275794 loss=1.259265 lr=0.001377 Epoch[183] Batch [3199]/[3759] Speed: 119.341525 samples/sec accuracy=69.277344 loss=1.258810 lr=0.001374 Epoch[183] Batch [3249]/[3759] Speed: 119.218492 samples/sec accuracy=69.290385 loss=1.258556 lr=0.001371 Epoch[183] Batch [3299]/[3759] Speed: 119.657206 samples/sec accuracy=69.291667 loss=1.258577 lr=0.001368 Epoch[183] Batch [3349]/[3759] Speed: 119.641683 samples/sec accuracy=69.305970 loss=1.258057 lr=0.001365 Epoch[183] Batch [3399]/[3759] Speed: 119.442443 samples/sec accuracy=69.294118 loss=1.259398 lr=0.001362 Epoch[183] Batch [3449]/[3759] Speed: 119.129292 samples/sec accuracy=69.284873 loss=1.258970 lr=0.001359 Epoch[183] Batch [3499]/[3759] Speed: 120.519249 samples/sec accuracy=69.260714 loss=1.259750 lr=0.001356 Epoch[183] Batch [3549]/[3759] Speed: 119.134588 samples/sec accuracy=69.262764 loss=1.260168 lr=0.001353 Epoch[183] Batch [3599]/[3759] Speed: 119.724425 samples/sec accuracy=69.255208 loss=1.260651 lr=0.001350 Epoch[183] Batch [3649]/[3759] Speed: 119.508076 samples/sec accuracy=69.244863 loss=1.260939 lr=0.001347 Epoch[183] Batch [3699]/[3759] Speed: 119.845272 samples/sec accuracy=69.253378 loss=1.260661 lr=0.001344 Epoch[183] Batch [3749]/[3759] Speed: 123.624570 samples/sec accuracy=69.255000 loss=1.261105 lr=0.001341 Batch [0049]/[0303]: acc-top1=64.375000 acc-top5=83.875000 Batch [0099]/[0303]: acc-top1=60.656250 acc-top5=83.015625 Batch [0149]/[0303]: acc-top1=62.062500 acc-top5=83.614583 Batch [0199]/[0303]: acc-top1=64.546875 acc-top5=84.921875 Batch [0249]/[0303]: acc-top1=64.006250 acc-top5=84.418750 Batch [0299]/[0303]: acc-top1=63.515625 acc-top5=84.432292 [Epoch 183] training: accuracy=69.251713 loss=1.261162 [Epoch 183] speed: 119 samples/sec time cost: 2138.078735 [Epoch 183] validation: acc-top1=63.479785 acc-top5=84.447195 loss=1.636165 Epoch[184] Batch [0049]/[3760] Speed: 89.426672 samples/sec accuracy=68.625000 loss=1.271932 lr=0.001338 Epoch[184] Batch [0099]/[3760] Speed: 119.537178 samples/sec accuracy=69.453125 loss=1.261748 lr=0.001335 Epoch[184] Batch [0149]/[3760] Speed: 119.115125 samples/sec accuracy=69.562500 loss=1.261066 lr=0.001332 Epoch[184] Batch [0199]/[3760] Speed: 120.699329 samples/sec accuracy=69.687500 loss=1.248429 lr=0.001329 Epoch[184] Batch [0249]/[3760] Speed: 119.774911 samples/sec accuracy=70.131250 loss=1.231444 lr=0.001326 Epoch[184] Batch [0299]/[3760] Speed: 118.972063 samples/sec accuracy=70.109375 loss=1.227040 lr=0.001323 Epoch[184] Batch [0349]/[3760] Speed: 119.257079 samples/sec accuracy=69.928571 loss=1.233105 lr=0.001320 Epoch[184] Batch [0399]/[3760] Speed: 119.907263 samples/sec accuracy=70.027344 loss=1.230286 lr=0.001317 Epoch[184] Batch [0449]/[3760] Speed: 119.096016 samples/sec accuracy=70.069444 loss=1.228647 lr=0.001314 Epoch[184] Batch [0499]/[3760] Speed: 117.337379 samples/sec accuracy=69.871875 loss=1.235518 lr=0.001311 Epoch[184] Batch [0549]/[3760] Speed: 119.694232 samples/sec accuracy=70.107955 loss=1.229382 lr=0.001308 Epoch[184] Batch [0599]/[3760] Speed: 120.091004 samples/sec accuracy=69.906250 loss=1.237743 lr=0.001305 Epoch[184] Batch [0649]/[3760] Speed: 120.133706 samples/sec accuracy=69.925481 loss=1.235387 lr=0.001302 Epoch[184] Batch [0699]/[3760] Speed: 120.156667 samples/sec accuracy=69.852679 loss=1.236436 lr=0.001299 Epoch[184] Batch [0749]/[3760] Speed: 119.665345 samples/sec accuracy=69.860417 loss=1.236844 lr=0.001296 Epoch[184] Batch [0799]/[3760] Speed: 118.905967 samples/sec accuracy=69.822266 loss=1.238667 lr=0.001294 Epoch[184] Batch [0849]/[3760] Speed: 119.363938 samples/sec accuracy=69.838235 loss=1.237390 lr=0.001291 Epoch[184] Batch [0899]/[3760] Speed: 119.996226 samples/sec accuracy=69.815972 loss=1.238663 lr=0.001288 Epoch[184] Batch [0949]/[3760] Speed: 120.013595 samples/sec accuracy=69.902961 loss=1.236941 lr=0.001285 Epoch[184] Batch [0999]/[3760] Speed: 119.672229 samples/sec accuracy=69.904687 loss=1.238291 lr=0.001282 Epoch[184] Batch [1049]/[3760] Speed: 119.661707 samples/sec accuracy=69.861607 loss=1.237883 lr=0.001279 Epoch[184] Batch [1099]/[3760] Speed: 120.208888 samples/sec accuracy=69.813920 loss=1.240316 lr=0.001276 Epoch[184] Batch [1149]/[3760] Speed: 119.453303 samples/sec accuracy=69.788043 loss=1.240312 lr=0.001273 Epoch[184] Batch [1199]/[3760] Speed: 119.110850 samples/sec accuracy=69.752604 loss=1.241481 lr=0.001270 Epoch[184] Batch [1249]/[3760] Speed: 120.156606 samples/sec accuracy=69.760000 loss=1.241283 lr=0.001267 Epoch[184] Batch [1299]/[3760] Speed: 119.103998 samples/sec accuracy=69.745192 loss=1.241873 lr=0.001265 Epoch[184] Batch [1349]/[3760] Speed: 119.916637 samples/sec accuracy=69.756944 loss=1.239876 lr=0.001262 Epoch[184] Batch [1399]/[3760] Speed: 120.149141 samples/sec accuracy=69.757812 loss=1.240128 lr=0.001259 Epoch[184] Batch [1449]/[3760] Speed: 119.541807 samples/sec accuracy=69.773707 loss=1.239565 lr=0.001256 Epoch[184] Batch [1499]/[3760] Speed: 119.346108 samples/sec accuracy=69.784375 loss=1.239146 lr=0.001253 Epoch[184] Batch [1549]/[3760] Speed: 120.138986 samples/sec accuracy=69.755040 loss=1.240449 lr=0.001250 Epoch[184] Batch [1599]/[3760] Speed: 119.951721 samples/sec accuracy=69.760742 loss=1.239618 lr=0.001247 Epoch[184] Batch [1649]/[3760] Speed: 118.954425 samples/sec accuracy=69.767045 loss=1.239179 lr=0.001244 Epoch[184] Batch [1699]/[3760] Speed: 119.945880 samples/sec accuracy=69.761029 loss=1.239006 lr=0.001242 Epoch[184] Batch [1749]/[3760] Speed: 120.254272 samples/sec accuracy=69.739286 loss=1.240405 lr=0.001239 Epoch[184] Batch [1799]/[3760] Speed: 119.951650 samples/sec accuracy=69.773438 loss=1.238783 lr=0.001236 Epoch[184] Batch [1849]/[3760] Speed: 119.683205 samples/sec accuracy=69.741554 loss=1.240352 lr=0.001233 Epoch[184] Batch [1899]/[3760] Speed: 120.011931 samples/sec accuracy=69.732730 loss=1.240682 lr=0.001230 Epoch[184] Batch [1949]/[3760] Speed: 119.722894 samples/sec accuracy=69.730769 loss=1.240659 lr=0.001227 Epoch[184] Batch [1999]/[3760] Speed: 119.485442 samples/sec accuracy=69.689844 loss=1.242710 lr=0.001225 Epoch[184] Batch [2049]/[3760] Speed: 119.722225 samples/sec accuracy=69.675305 loss=1.243299 lr=0.001222 Epoch[184] Batch [2099]/[3760] Speed: 119.535128 samples/sec accuracy=69.674851 loss=1.243411 lr=0.001219 Epoch[184] Batch [2149]/[3760] Speed: 116.643897 samples/sec accuracy=69.683140 loss=1.243069 lr=0.001216 Epoch[184] Batch [2199]/[3760] Speed: 119.360132 samples/sec accuracy=69.701705 loss=1.242245 lr=0.001213 Epoch[184] Batch [2249]/[3760] Speed: 119.796127 samples/sec accuracy=69.709028 loss=1.241681 lr=0.001210 Epoch[184] Batch [2299]/[3760] Speed: 119.420575 samples/sec accuracy=69.686821 loss=1.242901 lr=0.001208 Epoch[184] Batch [2349]/[3760] Speed: 119.282590 samples/sec accuracy=69.694814 loss=1.242959 lr=0.001205 Epoch[184] Batch [2399]/[3760] Speed: 120.385315 samples/sec accuracy=69.693359 loss=1.243395 lr=0.001202 Epoch[184] Batch [2449]/[3760] Speed: 119.345768 samples/sec accuracy=69.687500 loss=1.243386 lr=0.001199 Epoch[184] Batch [2499]/[3760] Speed: 119.661143 samples/sec accuracy=69.701250 loss=1.243286 lr=0.001196 Epoch[184] Batch 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accuracy=69.706771 loss=1.241863 lr=0.001168 Epoch[184] Batch [3049]/[3760] Speed: 119.517694 samples/sec accuracy=69.705943 loss=1.241537 lr=0.001166 Epoch[184] Batch [3099]/[3760] Speed: 119.039521 samples/sec accuracy=69.694556 loss=1.241673 lr=0.001163 Epoch[184] Batch [3149]/[3760] Speed: 119.600064 samples/sec accuracy=69.687004 loss=1.241975 lr=0.001160 Epoch[184] Batch [3199]/[3760] Speed: 119.274665 samples/sec accuracy=69.704590 loss=1.240836 lr=0.001157 Epoch[184] Batch [3249]/[3760] Speed: 119.538295 samples/sec accuracy=69.697115 loss=1.240230 lr=0.001155 Epoch[184] Batch [3299]/[3760] Speed: 119.660555 samples/sec accuracy=69.683239 loss=1.240181 lr=0.001152 Epoch[184] Batch [3349]/[3760] Speed: 119.568098 samples/sec accuracy=69.701026 loss=1.239201 lr=0.001149 Epoch[184] Batch [3399]/[3760] Speed: 119.034908 samples/sec accuracy=69.711857 loss=1.238895 lr=0.001146 Epoch[184] Batch [3449]/[3760] Speed: 119.591155 samples/sec accuracy=69.720109 loss=1.238961 lr=0.001144 Epoch[184] Batch [3499]/[3760] Speed: 119.754427 samples/sec accuracy=69.729018 loss=1.238751 lr=0.001141 Epoch[184] Batch [3549]/[3760] Speed: 119.345914 samples/sec accuracy=69.721831 loss=1.239392 lr=0.001138 Epoch[184] Batch [3599]/[3760] Speed: 120.630090 samples/sec accuracy=69.726128 loss=1.239558 lr=0.001135 Epoch[184] Batch [3649]/[3760] Speed: 117.025013 samples/sec accuracy=69.736301 loss=1.238992 lr=0.001133 Epoch[184] Batch [3699]/[3760] Speed: 119.448004 samples/sec accuracy=69.739443 loss=1.238770 lr=0.001130 Epoch[184] Batch [3749]/[3760] Speed: 123.242913 samples/sec accuracy=69.746667 loss=1.238481 lr=0.001127 Batch [0049]/[0303]: acc-top1=63.812500 acc-top5=83.625000 Batch [0099]/[0303]: acc-top1=61.046875 acc-top5=83.078125 Batch [0149]/[0303]: acc-top1=62.593750 acc-top5=83.593750 Batch [0199]/[0303]: acc-top1=65.171875 acc-top5=85.000000 Batch [0249]/[0303]: acc-top1=64.643750 acc-top5=84.581250 Batch [0299]/[0303]: acc-top1=64.062500 acc-top5=84.578125 [Epoch 184] training: accuracy=69.749418 loss=1.238338 [Epoch 184] speed: 119 samples/sec time cost: 2138.942111 [Epoch 184] validation: acc-top1=64.010932 acc-top5=84.576114 loss=1.616780 Epoch[185] Batch [0049]/[3760] Speed: 90.147109 samples/sec accuracy=70.500000 loss=1.221375 lr=0.001124 Epoch[185] Batch [0099]/[3760] Speed: 120.458773 samples/sec accuracy=70.859375 loss=1.194135 lr=0.001121 Epoch[185] Batch [0149]/[3760] Speed: 119.870705 samples/sec accuracy=70.562500 loss=1.199328 lr=0.001119 Epoch[185] Batch [0199]/[3760] Speed: 119.668587 samples/sec accuracy=70.835938 loss=1.194560 lr=0.001116 Epoch[185] Batch [0249]/[3760] Speed: 119.718290 samples/sec accuracy=70.887500 loss=1.193309 lr=0.001113 Epoch[185] Batch [0299]/[3760] Speed: 120.124033 samples/sec accuracy=70.859375 loss=1.193856 lr=0.001110 Epoch[185] Batch [0349]/[3760] Speed: 119.511116 samples/sec accuracy=70.647321 loss=1.196963 lr=0.001108 Epoch[185] Batch [0399]/[3760] Speed: 119.791900 samples/sec accuracy=70.503906 loss=1.203016 lr=0.001105 Epoch[185] Batch [0449]/[3760] Speed: 119.477530 samples/sec accuracy=70.527778 loss=1.205839 lr=0.001102 Epoch[185] Batch [0499]/[3760] Speed: 119.025857 samples/sec accuracy=70.518750 loss=1.208454 lr=0.001100 Epoch[185] Batch [0549]/[3760] Speed: 118.224413 samples/sec accuracy=70.525568 loss=1.209334 lr=0.001097 Epoch[185] Batch [0599]/[3760] Speed: 119.749260 samples/sec accuracy=70.552083 loss=1.208874 lr=0.001094 Epoch[185] Batch [0649]/[3760] Speed: 119.321117 samples/sec accuracy=70.603365 loss=1.208059 lr=0.001092 Epoch[185] Batch [0699]/[3760] Speed: 119.237326 samples/sec accuracy=70.613839 loss=1.206622 lr=0.001089 Epoch[185] Batch [0749]/[3760] Speed: 119.188955 samples/sec accuracy=70.595833 loss=1.206916 lr=0.001086 Epoch[185] Batch [0799]/[3760] Speed: 119.643499 samples/sec accuracy=70.707031 loss=1.202397 lr=0.001084 Epoch[185] Batch [0849]/[3760] Speed: 118.924851 samples/sec accuracy=70.648897 loss=1.203618 lr=0.001081 Epoch[185] Batch [0899]/[3760] Speed: 119.599428 samples/sec accuracy=70.645833 loss=1.205904 lr=0.001078 Epoch[185] Batch [0949]/[3760] Speed: 119.260931 samples/sec accuracy=70.659539 loss=1.204776 lr=0.001076 Epoch[185] Batch [0999]/[3760] Speed: 119.014165 samples/sec accuracy=70.623437 loss=1.205487 lr=0.001073 Epoch[185] Batch [1049]/[3760] Speed: 119.435792 samples/sec accuracy=70.598214 loss=1.204971 lr=0.001070 Epoch[185] Batch [1099]/[3760] Speed: 119.729179 samples/sec accuracy=70.606534 loss=1.204723 lr=0.001068 Epoch[185] Batch [1149]/[3760] Speed: 118.718635 samples/sec accuracy=70.563859 loss=1.205809 lr=0.001065 Epoch[185] Batch [1199]/[3760] Speed: 119.830156 samples/sec accuracy=70.533854 loss=1.206638 lr=0.001062 Epoch[185] Batch [1249]/[3760] Speed: 119.838648 samples/sec accuracy=70.526250 loss=1.207569 lr=0.001060 Epoch[185] Batch [1299]/[3760] Speed: 119.663284 samples/sec accuracy=70.520433 loss=1.207475 lr=0.001057 Epoch[185] Batch [1349]/[3760] Speed: 118.617501 samples/sec accuracy=70.452546 loss=1.209455 lr=0.001054 Epoch[185] Batch [1399]/[3760] Speed: 119.766752 samples/sec accuracy=70.473214 loss=1.209395 lr=0.001052 Epoch[185] Batch [1449]/[3760] Speed: 119.430086 samples/sec accuracy=70.419181 loss=1.211375 lr=0.001049 Epoch[185] Batch [1499]/[3760] Speed: 116.854393 samples/sec accuracy=70.411458 loss=1.211221 lr=0.001046 Epoch[185] Batch [1549]/[3760] Speed: 120.212040 samples/sec accuracy=70.419355 loss=1.210335 lr=0.001044 Epoch[185] Batch [1599]/[3760] Speed: 119.931789 samples/sec accuracy=70.375977 loss=1.211704 lr=0.001041 Epoch[185] Batch [1649]/[3760] Speed: 119.889611 samples/sec accuracy=70.424242 loss=1.210137 lr=0.001039 Epoch[185] Batch [1699]/[3760] Speed: 118.982783 samples/sec accuracy=70.459559 loss=1.208686 lr=0.001036 Epoch[185] Batch [1749]/[3760] Speed: 119.046248 samples/sec accuracy=70.465179 loss=1.208673 lr=0.001033 Epoch[185] Batch [1799]/[3760] Speed: 119.725546 samples/sec accuracy=70.473090 loss=1.208191 lr=0.001031 Epoch[185] Batch [1849]/[3760] Speed: 119.142657 samples/sec accuracy=70.456081 loss=1.208907 lr=0.001028 Epoch[185] Batch [1899]/[3760] Speed: 119.898047 samples/sec accuracy=70.412829 loss=1.209965 lr=0.001026 Epoch[185] Batch [1949]/[3760] Speed: 119.976431 samples/sec accuracy=70.422276 loss=1.209892 lr=0.001023 Epoch[185] Batch [1999]/[3760] Speed: 119.676257 samples/sec accuracy=70.405469 loss=1.210651 lr=0.001020 Epoch[185] Batch [2049]/[3760] Speed: 119.769921 samples/sec accuracy=70.412348 loss=1.209806 lr=0.001018 Epoch[185] Batch [2099]/[3760] Speed: 119.807233 samples/sec accuracy=70.381696 loss=1.210851 lr=0.001015 Epoch[185] Batch [2149]/[3760] Speed: 119.167679 samples/sec accuracy=70.387355 loss=1.211300 lr=0.001013 Epoch[185] Batch [2199]/[3760] Speed: 119.703811 samples/sec accuracy=70.404119 loss=1.210556 lr=0.001010 Epoch[185] Batch [2249]/[3760] Speed: 120.219494 samples/sec accuracy=70.391667 loss=1.211133 lr=0.001007 Epoch[185] Batch [2299]/[3760] Speed: 119.200276 samples/sec accuracy=70.386549 loss=1.211914 lr=0.001005 Epoch[185] Batch [2349]/[3760] Speed: 120.497822 samples/sec accuracy=70.396277 loss=1.211723 lr=0.001002 Epoch[185] Batch [2399]/[3760] Speed: 120.633032 samples/sec accuracy=70.384115 loss=1.211964 lr=0.001000 Epoch[185] Batch [2449]/[3760] Speed: 119.956362 samples/sec accuracy=70.378189 loss=1.212279 lr=0.000997 Epoch[185] Batch [2499]/[3760] Speed: 119.675877 samples/sec accuracy=70.382500 loss=1.212527 lr=0.000995 Epoch[185] Batch [2549]/[3760] Speed: 118.921514 samples/sec accuracy=70.393382 loss=1.212789 lr=0.000992 Epoch[185] Batch [2599]/[3760] Speed: 119.211262 samples/sec accuracy=70.391226 loss=1.212191 lr=0.000989 Epoch[185] Batch [2649]/[3760] Speed: 119.694711 samples/sec accuracy=70.393868 loss=1.211741 lr=0.000987 Epoch[185] Batch [2699]/[3760] Speed: 120.795859 samples/sec accuracy=70.380787 loss=1.211953 lr=0.000984 Epoch[185] Batch [2749]/[3760] Speed: 119.668225 samples/sec accuracy=70.387500 loss=1.211884 lr=0.000982 Epoch[185] Batch [2799]/[3760] Speed: 120.360953 samples/sec accuracy=70.391183 loss=1.211635 lr=0.000979 Epoch[185] Batch [2849]/[3760] Speed: 119.776683 samples/sec accuracy=70.396382 loss=1.211339 lr=0.000977 Epoch[185] Batch [2899]/[3760] Speed: 119.761208 samples/sec accuracy=70.384159 loss=1.211531 lr=0.000974 Epoch[185] Batch [2949]/[3760] Speed: 119.349798 samples/sec accuracy=70.378708 loss=1.212237 lr=0.000972 Epoch[185] Batch [2999]/[3760] Speed: 119.106580 samples/sec accuracy=70.378125 loss=1.212341 lr=0.000969 Epoch[185] Batch [3049]/[3760] Speed: 116.696607 samples/sec accuracy=70.378074 loss=1.212630 lr=0.000967 Epoch[185] Batch [3099]/[3760] Speed: 120.068297 samples/sec accuracy=70.388609 loss=1.212441 lr=0.000964 Epoch[185] Batch [3149]/[3760] Speed: 118.976861 samples/sec accuracy=70.392361 loss=1.212369 lr=0.000962 Epoch[185] Batch [3199]/[3760] Speed: 120.153092 samples/sec accuracy=70.382324 loss=1.212714 lr=0.000959 Epoch[185] Batch [3249]/[3760] Speed: 119.628778 samples/sec accuracy=70.397115 loss=1.212465 lr=0.000957 Epoch[185] Batch [3299]/[3760] Speed: 119.639572 samples/sec accuracy=70.394886 loss=1.212104 lr=0.000954 Epoch[185] Batch [3349]/[3760] Speed: 120.139800 samples/sec accuracy=70.362407 loss=1.213283 lr=0.000952 Epoch[185] Batch [3399]/[3760] Speed: 118.868352 samples/sec accuracy=70.369026 loss=1.213427 lr=0.000949 Epoch[185] Batch [3449]/[3760] Speed: 119.661637 samples/sec accuracy=70.379076 loss=1.213812 lr=0.000947 Epoch[185] Batch [3499]/[3760] Speed: 119.612258 samples/sec accuracy=70.361161 loss=1.214159 lr=0.000944 Epoch[185] Batch [3549]/[3760] Speed: 119.777101 samples/sec accuracy=70.372799 loss=1.213622 lr=0.000942 Epoch[185] Batch [3599]/[3760] Speed: 119.775646 samples/sec accuracy=70.370660 loss=1.213443 lr=0.000939 Epoch[185] Batch [3649]/[3760] Speed: 119.020269 samples/sec accuracy=70.366010 loss=1.213925 lr=0.000937 Epoch[185] Batch [3699]/[3760] Speed: 119.452638 samples/sec accuracy=70.380490 loss=1.213257 lr=0.000934 Epoch[185] Batch [3749]/[3760] Speed: 123.446829 samples/sec accuracy=70.376667 loss=1.213010 lr=0.000932 Batch [0049]/[0303]: acc-top1=63.250000 acc-top5=83.468750 Batch [0099]/[0303]: acc-top1=60.953125 acc-top5=83.031250 Batch [0149]/[0303]: acc-top1=62.781250 acc-top5=83.833333 Batch [0199]/[0303]: acc-top1=65.085938 acc-top5=85.039062 Batch [0249]/[0303]: acc-top1=64.568750 acc-top5=84.643750 Batch [0299]/[0303]: acc-top1=64.098958 acc-top5=84.609375 [Epoch 185] training: accuracy=70.376496 loss=1.213125 [Epoch 185] speed: 119 samples/sec time cost: 2138.965724 [Epoch 185] validation: acc-top1=64.021246 acc-top5=84.601898 loss=1.633570 Epoch[186] Batch [0049]/[3759] Speed: 87.240907 samples/sec accuracy=69.875000 loss=1.222416 lr=0.000929 Epoch[186] Batch [0099]/[3759] Speed: 119.779524 samples/sec accuracy=70.484375 loss=1.209237 lr=0.000926 Epoch[186] Batch [0149]/[3759] Speed: 119.760261 samples/sec accuracy=70.312500 loss=1.219334 lr=0.000924 Epoch[186] Batch [0199]/[3759] Speed: 119.243845 samples/sec accuracy=70.500000 loss=1.210372 lr=0.000921 Epoch[186] Batch [0249]/[3759] Speed: 119.334433 samples/sec accuracy=70.412500 loss=1.214801 lr=0.000919 Epoch[186] Batch [0299]/[3759] Speed: 119.254936 samples/sec accuracy=70.489583 loss=1.211848 lr=0.000916 Epoch[186] Batch [0349]/[3759] Speed: 119.554811 samples/sec accuracy=70.308036 loss=1.215827 lr=0.000914 Epoch[186] Batch [0399]/[3759] Speed: 119.871579 samples/sec accuracy=70.417969 loss=1.209170 lr=0.000911 Epoch[186] Batch [0449]/[3759] Speed: 118.676949 samples/sec accuracy=70.211806 loss=1.212573 lr=0.000909 Epoch[186] Batch [0499]/[3759] Speed: 119.458023 samples/sec accuracy=70.412500 loss=1.208026 lr=0.000907 Epoch[186] Batch [0549]/[3759] Speed: 119.734715 samples/sec accuracy=70.511364 loss=1.206062 lr=0.000904 Epoch[186] Batch [0599]/[3759] Speed: 119.500975 samples/sec accuracy=70.528646 loss=1.207811 lr=0.000902 Epoch[186] Batch [0649]/[3759] Speed: 119.353570 samples/sec accuracy=70.552885 loss=1.207847 lr=0.000899 Epoch[186] Batch [0699]/[3759] Speed: 119.429915 samples/sec accuracy=70.671875 loss=1.206146 lr=0.000897 Epoch[186] Batch [0749]/[3759] Speed: 119.799438 samples/sec accuracy=70.664583 loss=1.204992 lr=0.000894 Epoch[186] Batch [0799]/[3759] Speed: 119.615561 samples/sec accuracy=70.666016 loss=1.206170 lr=0.000892 Epoch[186] Batch [0849]/[3759] Speed: 120.034765 samples/sec accuracy=70.663603 loss=1.205300 lr=0.000889 Epoch[186] Batch [0899]/[3759] Speed: 116.536495 samples/sec accuracy=70.628472 loss=1.206068 lr=0.000887 Epoch[186] Batch [0949]/[3759] Speed: 119.221599 samples/sec accuracy=70.664474 loss=1.204406 lr=0.000885 Epoch[186] Batch [0999]/[3759] Speed: 119.770483 samples/sec accuracy=70.642187 loss=1.205305 lr=0.000882 Epoch[186] Batch [1049]/[3759] Speed: 119.771587 samples/sec accuracy=70.699405 loss=1.202825 lr=0.000880 Epoch[186] Batch [1099]/[3759] Speed: 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loss=1.197619 lr=0.000856 Epoch[186] Batch [1599]/[3759] Speed: 119.662637 samples/sec accuracy=70.865234 loss=1.198498 lr=0.000854 Epoch[186] Batch [1649]/[3759] Speed: 119.722946 samples/sec accuracy=70.821023 loss=1.198956 lr=0.000851 Epoch[186] Batch [1699]/[3759] Speed: 118.858910 samples/sec accuracy=70.845588 loss=1.198023 lr=0.000849 Epoch[186] Batch [1749]/[3759] Speed: 120.428090 samples/sec accuracy=70.845536 loss=1.198905 lr=0.000846 Epoch[186] Batch [1799]/[3759] Speed: 119.567829 samples/sec accuracy=70.867188 loss=1.198331 lr=0.000844 Epoch[186] Batch [1849]/[3759] Speed: 119.592223 samples/sec accuracy=70.864865 loss=1.198605 lr=0.000842 Epoch[186] Batch [1899]/[3759] Speed: 119.861560 samples/sec accuracy=70.870888 loss=1.198645 lr=0.000839 Epoch[186] Batch [1949]/[3759] Speed: 119.403755 samples/sec accuracy=70.869391 loss=1.198552 lr=0.000837 Epoch[186] Batch [1999]/[3759] Speed: 119.373743 samples/sec accuracy=70.850000 loss=1.199142 lr=0.000835 Epoch[186] Batch 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accuracy=70.817500 loss=1.197756 lr=0.000811 Epoch[186] Batch [2549]/[3759] Speed: 119.255972 samples/sec accuracy=70.795956 loss=1.198570 lr=0.000809 Epoch[186] Batch [2599]/[3759] Speed: 119.862330 samples/sec accuracy=70.790865 loss=1.198718 lr=0.000807 Epoch[186] Batch [2649]/[3759] Speed: 119.835579 samples/sec accuracy=70.779481 loss=1.199152 lr=0.000804 Epoch[186] Batch [2699]/[3759] Speed: 119.186475 samples/sec accuracy=70.763889 loss=1.199617 lr=0.000802 Epoch[186] Batch [2749]/[3759] Speed: 119.034723 samples/sec accuracy=70.784091 loss=1.198814 lr=0.000800 Epoch[186] Batch [2799]/[3759] Speed: 120.288831 samples/sec accuracy=70.800223 loss=1.198271 lr=0.000798 Epoch[186] Batch [2849]/[3759] Speed: 118.947330 samples/sec accuracy=70.805921 loss=1.198009 lr=0.000795 Epoch[186] Batch [2899]/[3759] Speed: 120.076888 samples/sec accuracy=70.808190 loss=1.197539 lr=0.000793 Epoch[186] Batch [2949]/[3759] Speed: 119.794577 samples/sec accuracy=70.834216 loss=1.196887 lr=0.000791 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Batch [0299]/[0303]: acc-top1=64.265625 acc-top5=84.765625 [Epoch 186] training: accuracy=70.860767 loss=1.194863 [Epoch 186] speed: 118 samples/sec time cost: 2141.628098 [Epoch 186] validation: acc-top1=64.186262 acc-top5=84.746287 loss=1.615521 Epoch[187] Batch [0049]/[3760] Speed: 88.720661 samples/sec accuracy=71.718750 loss=1.161636 lr=0.000752 Epoch[187] Batch [0099]/[3760] Speed: 119.680355 samples/sec accuracy=71.453125 loss=1.176141 lr=0.000750 Epoch[187] Batch [0149]/[3760] Speed: 120.214377 samples/sec accuracy=71.760417 loss=1.168391 lr=0.000747 Epoch[187] Batch [0199]/[3760] Speed: 118.837881 samples/sec accuracy=72.007812 loss=1.162095 lr=0.000745 Epoch[187] Batch [0249]/[3760] Speed: 119.285036 samples/sec accuracy=71.993750 loss=1.157259 lr=0.000743 Epoch[187] Batch [0299]/[3760] Speed: 119.773127 samples/sec accuracy=71.916667 loss=1.155108 lr=0.000741 Epoch[187] Batch [0349]/[3760] Speed: 117.551867 samples/sec accuracy=71.803571 loss=1.158179 lr=0.000739 Epoch[187] 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samples/sec accuracy=71.472426 loss=1.167493 lr=0.000717 Epoch[187] Batch [0899]/[3760] Speed: 120.026159 samples/sec accuracy=71.456597 loss=1.168129 lr=0.000714 Epoch[187] Batch [0949]/[3760] Speed: 119.510900 samples/sec accuracy=71.429276 loss=1.171284 lr=0.000712 Epoch[187] Batch [0999]/[3760] Speed: 119.850501 samples/sec accuracy=71.418750 loss=1.172287 lr=0.000710 Epoch[187] Batch [1049]/[3760] Speed: 119.573153 samples/sec accuracy=71.364583 loss=1.173522 lr=0.000708 Epoch[187] Batch [1099]/[3760] Speed: 120.287287 samples/sec accuracy=71.316761 loss=1.175238 lr=0.000706 Epoch[187] Batch [1149]/[3760] Speed: 119.284740 samples/sec accuracy=71.317935 loss=1.175038 lr=0.000704 Epoch[187] Batch [1199]/[3760] Speed: 120.454681 samples/sec accuracy=71.320312 loss=1.173738 lr=0.000702 Epoch[187] Batch [1249]/[3760] Speed: 119.353876 samples/sec accuracy=71.296250 loss=1.173448 lr=0.000699 Epoch[187] Batch [1299]/[3760] Speed: 118.770398 samples/sec accuracy=71.312500 loss=1.173105 lr=0.000697 Epoch[187] Batch [1349]/[3760] Speed: 120.321412 samples/sec accuracy=71.356481 loss=1.171644 lr=0.000695 Epoch[187] Batch [1399]/[3760] Speed: 119.046398 samples/sec accuracy=71.335938 loss=1.172744 lr=0.000693 Epoch[187] Batch [1449]/[3760] Speed: 119.692754 samples/sec accuracy=71.346983 loss=1.171424 lr=0.000691 Epoch[187] Batch [1499]/[3760] Speed: 119.590140 samples/sec accuracy=71.344792 loss=1.172461 lr=0.000689 Epoch[187] Batch [1549]/[3760] Speed: 119.648501 samples/sec accuracy=71.330645 loss=1.172272 lr=0.000687 Epoch[187] Batch [1599]/[3760] Speed: 120.326000 samples/sec accuracy=71.328125 loss=1.171928 lr=0.000684 Epoch[187] Batch [1649]/[3760] Speed: 119.103599 samples/sec accuracy=71.316288 loss=1.172957 lr=0.000682 Epoch[187] Batch [1699]/[3760] Speed: 119.860612 samples/sec accuracy=71.311581 loss=1.172561 lr=0.000680 Epoch[187] Batch [1749]/[3760] Speed: 119.422885 samples/sec accuracy=71.312500 loss=1.172852 lr=0.000678 Epoch[187] Batch [1799]/[3760] 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accuracy=71.430556 loss=1.169780 lr=0.000657 Epoch[187] Batch [2299]/[3760] Speed: 119.112430 samples/sec accuracy=71.444973 loss=1.169078 lr=0.000655 Epoch[187] Batch [2349]/[3760] Speed: 119.675919 samples/sec accuracy=71.445479 loss=1.168899 lr=0.000653 Epoch[187] Batch [2399]/[3760] Speed: 119.384624 samples/sec accuracy=71.416667 loss=1.170036 lr=0.000651 Epoch[187] Batch [2449]/[3760] Speed: 119.308219 samples/sec accuracy=71.400510 loss=1.170343 lr=0.000649 Epoch[187] Batch [2499]/[3760] Speed: 119.046651 samples/sec accuracy=71.394375 loss=1.170354 lr=0.000647 Epoch[187] Batch [2549]/[3760] Speed: 119.396061 samples/sec accuracy=71.366422 loss=1.171120 lr=0.000645 Epoch[187] Batch [2599]/[3760] Speed: 120.016180 samples/sec accuracy=71.359976 loss=1.171159 lr=0.000643 Epoch[187] Batch [2649]/[3760] Speed: 119.485017 samples/sec accuracy=71.347877 loss=1.171878 lr=0.000640 Epoch[187] Batch [2699]/[3760] Speed: 119.812826 samples/sec accuracy=71.347222 loss=1.172091 lr=0.000638 Epoch[187] Batch [2749]/[3760] Speed: 119.326132 samples/sec accuracy=71.335227 loss=1.172412 lr=0.000636 Epoch[187] Batch [2799]/[3760] Speed: 119.655935 samples/sec accuracy=71.327567 loss=1.172147 lr=0.000634 Epoch[187] Batch [2849]/[3760] Speed: 119.902380 samples/sec accuracy=71.326754 loss=1.171733 lr=0.000632 Epoch[187] Batch [2899]/[3760] Speed: 119.504500 samples/sec accuracy=71.335129 loss=1.171951 lr=0.000630 Epoch[187] Batch [2949]/[3760] Speed: 119.038835 samples/sec accuracy=71.333157 loss=1.172168 lr=0.000628 Epoch[187] Batch [2999]/[3760] Speed: 119.840852 samples/sec accuracy=71.310938 loss=1.173020 lr=0.000626 Epoch[187] Batch [3049]/[3760] Speed: 120.027053 samples/sec accuracy=71.305328 loss=1.173046 lr=0.000624 Epoch[187] Batch [3099]/[3760] Speed: 119.492725 samples/sec accuracy=71.304435 loss=1.173383 lr=0.000622 Epoch[187] Batch [3149]/[3760] Speed: 120.734102 samples/sec accuracy=71.317956 loss=1.172679 lr=0.000620 Epoch[187] Batch [3199]/[3760] Speed: 119.819332 samples/sec accuracy=71.311035 loss=1.173023 lr=0.000618 Epoch[187] Batch [3249]/[3760] Speed: 119.926926 samples/sec accuracy=71.300962 loss=1.173941 lr=0.000616 Epoch[187] Batch [3299]/[3760] Speed: 119.309477 samples/sec accuracy=71.293561 loss=1.174240 lr=0.000614 Epoch[187] Batch [3349]/[3760] Speed: 119.599087 samples/sec accuracy=71.284515 loss=1.174472 lr=0.000612 Epoch[187] Batch [3399]/[3760] Speed: 120.470666 samples/sec accuracy=71.267463 loss=1.174756 lr=0.000610 Epoch[187] Batch [3449]/[3760] Speed: 119.326285 samples/sec accuracy=71.257699 loss=1.174679 lr=0.000608 Epoch[187] Batch [3499]/[3760] Speed: 119.234669 samples/sec accuracy=71.255357 loss=1.174949 lr=0.000606 Epoch[187] Batch [3549]/[3760] Speed: 117.483823 samples/sec accuracy=71.245599 loss=1.174956 lr=0.000604 Epoch[187] Batch [3599]/[3760] Speed: 119.557076 samples/sec accuracy=71.270833 loss=1.174649 lr=0.000602 Epoch[187] Batch [3649]/[3760] Speed: 120.079949 samples/sec accuracy=71.283818 loss=1.173970 lr=0.000600 Epoch[187] Batch [3699]/[3760] Speed: 119.091686 samples/sec accuracy=71.266470 loss=1.174274 lr=0.000598 Epoch[187] Batch [3749]/[3760] Speed: 122.684798 samples/sec accuracy=71.260000 loss=1.174854 lr=0.000596 Batch [0049]/[0303]: acc-top1=64.593750 acc-top5=83.906250 Batch [0099]/[0303]: acc-top1=61.796875 acc-top5=83.437500 Batch [0149]/[0303]: acc-top1=62.875000 acc-top5=83.854167 Batch [0199]/[0303]: acc-top1=65.359375 acc-top5=85.101562 Batch [0249]/[0303]: acc-top1=64.975000 acc-top5=84.800000 Batch [0299]/[0303]: acc-top1=64.494792 acc-top5=84.739583 [Epoch 187] training: accuracy=71.252909 loss=1.175024 [Epoch 187] speed: 119 samples/sec time cost: 2138.943283 [Epoch 187] validation: acc-top1=64.413160 acc-top5=84.730817 loss=1.615967 Epoch[188] Batch [0049]/[3760] Speed: 88.919820 samples/sec accuracy=70.781250 loss=1.191886 lr=0.000594 Epoch[188] Batch [0099]/[3760] Speed: 119.540201 samples/sec accuracy=70.687500 loss=1.194491 lr=0.000592 Epoch[188] Batch [0149]/[3760] Speed: 119.644006 samples/sec accuracy=71.093750 loss=1.170491 lr=0.000590 Epoch[188] Batch [0199]/[3760] Speed: 120.816475 samples/sec accuracy=71.179688 loss=1.162672 lr=0.000588 Epoch[188] Batch [0249]/[3760] Speed: 120.219927 samples/sec accuracy=71.262500 loss=1.159544 lr=0.000586 Epoch[188] Batch [0299]/[3760] Speed: 120.438710 samples/sec accuracy=71.265625 loss=1.163607 lr=0.000584 Epoch[188] Batch [0349]/[3760] Speed: 119.194259 samples/sec accuracy=71.245536 loss=1.166489 lr=0.000582 Epoch[188] Batch [0399]/[3760] Speed: 119.749559 samples/sec accuracy=71.367188 loss=1.162313 lr=0.000580 Epoch[188] Batch [0449]/[3760] Speed: 119.291651 samples/sec accuracy=71.447917 loss=1.158589 lr=0.000578 Epoch[188] Batch [0499]/[3760] Speed: 120.131162 samples/sec accuracy=71.484375 loss=1.157739 lr=0.000576 Epoch[188] Batch [0549]/[3760] Speed: 119.625911 samples/sec accuracy=71.389205 loss=1.161363 lr=0.000574 Epoch[188] Batch [0599]/[3760] Speed: 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accuracy=71.649219 loss=1.156249 lr=0.000519 Epoch[188] Batch [2049]/[3760] Speed: 119.164099 samples/sec accuracy=71.596799 loss=1.158194 lr=0.000517 Epoch[188] Batch [2099]/[3760] Speed: 119.272333 samples/sec accuracy=71.628720 loss=1.157209 lr=0.000515 Epoch[188] Batch [2149]/[3760] Speed: 119.524928 samples/sec accuracy=71.612645 loss=1.157350 lr=0.000513 Epoch[188] Batch [2199]/[3760] Speed: 119.663959 samples/sec accuracy=71.631392 loss=1.156901 lr=0.000511 Epoch[188] Batch [2249]/[3760] Speed: 119.518254 samples/sec accuracy=71.675694 loss=1.156337 lr=0.000510 Epoch[188] Batch [2299]/[3760] Speed: 119.871338 samples/sec accuracy=71.706522 loss=1.155545 lr=0.000508 Epoch[188] Batch [2349]/[3760] Speed: 119.904571 samples/sec accuracy=71.700133 loss=1.155525 lr=0.000506 Epoch[188] Batch [2399]/[3760] Speed: 119.505097 samples/sec accuracy=71.706380 loss=1.155455 lr=0.000504 Epoch[188] Batch [2449]/[3760] Speed: 119.539985 samples/sec accuracy=71.712372 loss=1.155236 lr=0.000502 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loss=1.153923 lr=0.000468 Epoch[188] Batch [3449]/[3760] Speed: 116.812610 samples/sec accuracy=71.707428 loss=1.153517 lr=0.000466 Epoch[188] Batch [3499]/[3760] Speed: 120.521480 samples/sec accuracy=71.694643 loss=1.153969 lr=0.000465 Epoch[188] Batch [3549]/[3760] Speed: 119.765176 samples/sec accuracy=71.680018 loss=1.154394 lr=0.000463 Epoch[188] Batch [3599]/[3760] Speed: 119.487453 samples/sec accuracy=71.685330 loss=1.154259 lr=0.000461 Epoch[188] Batch [3649]/[3760] Speed: 119.338467 samples/sec accuracy=71.691353 loss=1.154243 lr=0.000459 Epoch[188] Batch [3699]/[3760] Speed: 119.368878 samples/sec accuracy=71.689189 loss=1.154409 lr=0.000458 Epoch[188] Batch [3749]/[3760] Speed: 122.933858 samples/sec accuracy=71.681250 loss=1.154512 lr=0.000456 Batch [0049]/[0303]: acc-top1=64.562500 acc-top5=84.062500 Batch [0099]/[0303]: acc-top1=61.671875 acc-top5=83.500000 Batch [0149]/[0303]: acc-top1=62.864583 acc-top5=84.072917 Batch [0199]/[0303]: acc-top1=65.398438 acc-top5=85.335938 Batch [0249]/[0303]: acc-top1=65.012500 acc-top5=84.956250 Batch [0299]/[0303]: acc-top1=64.635417 acc-top5=85.031250 [Epoch 188] training: accuracy=71.684259 loss=1.154507 [Epoch 188] speed: 118 samples/sec time cost: 2139.314770 [Epoch 188] validation: acc-top1=64.562706 acc-top5=85.019596 loss=1.600093 Epoch[189] Batch [0049]/[3759] Speed: 88.802039 samples/sec accuracy=72.375000 loss=1.121292 lr=0.000454 Epoch[189] Batch [0099]/[3759] Speed: 120.261351 samples/sec accuracy=72.156250 loss=1.146750 lr=0.000452 Epoch[189] Batch [0149]/[3759] Speed: 119.727109 samples/sec accuracy=72.166667 loss=1.154398 lr=0.000450 Epoch[189] Batch [0199]/[3759] Speed: 120.426545 samples/sec accuracy=72.179688 loss=1.150406 lr=0.000449 Epoch[189] Batch [0249]/[3759] Speed: 119.607733 samples/sec accuracy=72.318750 loss=1.148978 lr=0.000447 Epoch[189] Batch [0299]/[3759] Speed: 119.926212 samples/sec accuracy=72.447917 loss=1.136197 lr=0.000445 Epoch[189] Batch [0349]/[3759] Speed: 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loss=1.137539 lr=0.000428 Epoch[189] Batch [0849]/[3759] Speed: 119.798727 samples/sec accuracy=72.189338 loss=1.135590 lr=0.000427 Epoch[189] Batch [0899]/[3759] Speed: 119.149590 samples/sec accuracy=72.208333 loss=1.136663 lr=0.000425 Epoch[189] Batch [0949]/[3759] Speed: 119.911036 samples/sec accuracy=72.251645 loss=1.136998 lr=0.000423 Epoch[189] Batch [0999]/[3759] Speed: 119.533097 samples/sec accuracy=72.229687 loss=1.136937 lr=0.000422 Epoch[189] Batch [1049]/[3759] Speed: 119.640068 samples/sec accuracy=72.212798 loss=1.137398 lr=0.000420 Epoch[189] Batch [1099]/[3759] Speed: 119.418101 samples/sec accuracy=72.250000 loss=1.136918 lr=0.000418 Epoch[189] Batch [1149]/[3759] Speed: 118.963302 samples/sec accuracy=72.186141 loss=1.138128 lr=0.000417 Epoch[189] Batch [1199]/[3759] Speed: 116.493969 samples/sec accuracy=72.158854 loss=1.139174 lr=0.000415 Epoch[189] Batch [1249]/[3759] Speed: 119.971516 samples/sec accuracy=72.122500 loss=1.140929 lr=0.000413 Epoch[189] Batch 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accuracy=72.033929 loss=1.140967 lr=0.000397 Epoch[189] Batch [1799]/[3759] Speed: 119.068947 samples/sec accuracy=72.033854 loss=1.140923 lr=0.000395 Epoch[189] Batch [1849]/[3759] Speed: 119.327151 samples/sec accuracy=72.021959 loss=1.141153 lr=0.000394 Epoch[189] Batch [1899]/[3759] Speed: 118.534731 samples/sec accuracy=72.042763 loss=1.140623 lr=0.000392 Epoch[189] Batch [1949]/[3759] Speed: 119.901713 samples/sec accuracy=72.030449 loss=1.141232 lr=0.000390 Epoch[189] Batch [1999]/[3759] Speed: 120.443090 samples/sec accuracy=72.067969 loss=1.140208 lr=0.000389 Epoch[189] Batch [2049]/[3759] Speed: 119.230520 samples/sec accuracy=72.068598 loss=1.140421 lr=0.000387 Epoch[189] Batch [2099]/[3759] Speed: 119.624999 samples/sec accuracy=72.072173 loss=1.140913 lr=0.000386 Epoch[189] Batch [2149]/[3759] Speed: 119.753625 samples/sec accuracy=72.097384 loss=1.140432 lr=0.000384 Epoch[189] Batch [2199]/[3759] Speed: 119.565322 samples/sec accuracy=72.102273 loss=1.140312 lr=0.000382 Epoch[189] Batch [2249]/[3759] Speed: 119.828274 samples/sec accuracy=72.084722 loss=1.141018 lr=0.000381 Epoch[189] Batch [2299]/[3759] Speed: 119.314164 samples/sec accuracy=72.054348 loss=1.141790 lr=0.000379 Epoch[189] Batch [2349]/[3759] Speed: 119.803776 samples/sec accuracy=72.058511 loss=1.141215 lr=0.000378 Epoch[189] Batch [2399]/[3759] Speed: 119.347763 samples/sec accuracy=72.047526 loss=1.141082 lr=0.000376 Epoch[189] Batch [2449]/[3759] Speed: 120.041707 samples/sec accuracy=72.054209 loss=1.140458 lr=0.000374 Epoch[189] Batch [2499]/[3759] Speed: 119.331547 samples/sec accuracy=72.056875 loss=1.140279 lr=0.000373 Epoch[189] Batch [2549]/[3759] Speed: 120.022903 samples/sec accuracy=72.033088 loss=1.141220 lr=0.000371 Epoch[189] Batch [2599]/[3759] Speed: 119.021412 samples/sec accuracy=72.046875 loss=1.140089 lr=0.000370 Epoch[189] Batch [2649]/[3759] Speed: 119.333247 samples/sec accuracy=72.051887 loss=1.140002 lr=0.000368 Epoch[189] Batch [2699]/[3759] Speed: 118.841685 samples/sec accuracy=72.052662 loss=1.139879 lr=0.000367 Epoch[189] Batch [2749]/[3759] Speed: 118.282095 samples/sec accuracy=72.052273 loss=1.140212 lr=0.000365 Epoch[189] Batch [2799]/[3759] Speed: 119.772257 samples/sec accuracy=72.062500 loss=1.139497 lr=0.000364 Epoch[189] Batch [2849]/[3759] Speed: 120.332115 samples/sec accuracy=72.061952 loss=1.139276 lr=0.000362 Epoch[189] Batch [2899]/[3759] Speed: 117.081261 samples/sec accuracy=72.072198 loss=1.138831 lr=0.000360 Epoch[189] Batch [2949]/[3759] Speed: 119.874085 samples/sec accuracy=72.067797 loss=1.139243 lr=0.000359 Epoch[189] Batch [2999]/[3759] Speed: 119.224389 samples/sec accuracy=72.063542 loss=1.139152 lr=0.000357 Epoch[189] Batch [3049]/[3759] Speed: 119.386976 samples/sec accuracy=72.047643 loss=1.139775 lr=0.000356 Epoch[189] Batch [3099]/[3759] Speed: 120.142534 samples/sec accuracy=72.065524 loss=1.139276 lr=0.000354 Epoch[189] Batch [3149]/[3759] Speed: 119.044702 samples/sec accuracy=72.043651 loss=1.139548 lr=0.000353 Epoch[189] Batch [3199]/[3759] Speed: 119.494827 samples/sec accuracy=72.049316 loss=1.139354 lr=0.000351 Epoch[189] Batch [3249]/[3759] Speed: 118.829725 samples/sec accuracy=72.057692 loss=1.139044 lr=0.000350 Epoch[189] Batch [3299]/[3759] Speed: 119.754395 samples/sec accuracy=72.043561 loss=1.138937 lr=0.000348 Epoch[189] Batch [3349]/[3759] Speed: 119.462368 samples/sec accuracy=72.057836 loss=1.138995 lr=0.000347 Epoch[189] Batch [3399]/[3759] Speed: 119.897169 samples/sec accuracy=72.073070 loss=1.138517 lr=0.000345 Epoch[189] Batch [3449]/[3759] Speed: 118.729472 samples/sec accuracy=72.094656 loss=1.137334 lr=0.000344 Epoch[189] Batch [3499]/[3759] Speed: 120.134670 samples/sec accuracy=72.083929 loss=1.137627 lr=0.000342 Epoch[189] Batch [3549]/[3759] Speed: 119.925111 samples/sec accuracy=72.075704 loss=1.138034 lr=0.000341 Epoch[189] Batch [3599]/[3759] Speed: 119.048495 samples/sec accuracy=72.082031 loss=1.137726 lr=0.000339 Epoch[189] Batch [3649]/[3759] Speed: 119.751826 samples/sec accuracy=72.077911 loss=1.138013 lr=0.000338 Epoch[189] Batch [3699]/[3759] Speed: 120.400814 samples/sec accuracy=72.055321 loss=1.139081 lr=0.000336 Epoch[189] Batch [3749]/[3759] Speed: 124.131887 samples/sec accuracy=72.050000 loss=1.139242 lr=0.000335 Batch [0049]/[0303]: acc-top1=64.656250 acc-top5=84.218750 Batch [0099]/[0303]: acc-top1=61.812500 acc-top5=83.671875 Batch [0149]/[0303]: acc-top1=63.270833 acc-top5=84.375000 Batch [0199]/[0303]: acc-top1=65.695312 acc-top5=85.601562 Batch [0249]/[0303]: acc-top1=65.212500 acc-top5=85.143750 Batch [0299]/[0303]: acc-top1=64.822917 acc-top5=85.151042 [Epoch 189] training: accuracy=72.053322 loss=1.139228 [Epoch 189] speed: 118 samples/sec time cost: 2139.691889 [Epoch 189] validation: acc-top1=64.758663 acc-top5=85.148515 loss=1.587507 Epoch[190] Batch [0049]/[3760] Speed: 88.911833 samples/sec accuracy=72.281250 loss=1.148088 lr=0.000333 Epoch[190] Batch [0099]/[3760] Speed: 120.468193 samples/sec accuracy=73.125000 loss=1.110141 lr=0.000331 Epoch[190] Batch [0149]/[3760] Speed: 119.785725 samples/sec accuracy=72.802083 loss=1.120451 lr=0.000330 Epoch[190] Batch [0199]/[3760] Speed: 120.635690 samples/sec accuracy=72.664062 loss=1.122330 lr=0.000328 Epoch[190] Batch [0249]/[3760] Speed: 120.030536 samples/sec accuracy=72.237500 loss=1.132721 lr=0.000327 Epoch[190] Batch [0299]/[3760] Speed: 119.987754 samples/sec accuracy=72.270833 loss=1.133367 lr=0.000325 Epoch[190] Batch [0349]/[3760] Speed: 120.241388 samples/sec accuracy=72.272321 loss=1.128642 lr=0.000324 Epoch[190] Batch [0399]/[3760] Speed: 119.851887 samples/sec accuracy=72.277344 loss=1.132224 lr=0.000323 Epoch[190] Batch [0449]/[3760] Speed: 119.547367 samples/sec accuracy=72.170139 loss=1.135208 lr=0.000321 Epoch[190] Batch [0499]/[3760] Speed: 119.699436 samples/sec accuracy=72.362500 loss=1.126726 lr=0.000320 Epoch[190] Batch [0549]/[3760] Speed: 119.855827 samples/sec accuracy=72.417614 loss=1.124016 lr=0.000318 Epoch[190] Batch [0599]/[3760] Speed: 119.635932 samples/sec accuracy=72.416667 loss=1.122514 lr=0.000317 Epoch[190] Batch [0649]/[3760] Speed: 117.175762 samples/sec accuracy=72.314904 loss=1.126190 lr=0.000315 Epoch[190] Batch [0699]/[3760] Speed: 119.388892 samples/sec accuracy=72.314732 loss=1.124454 lr=0.000314 Epoch[190] Batch [0749]/[3760] Speed: 120.052608 samples/sec accuracy=72.360417 loss=1.123388 lr=0.000312 Epoch[190] Batch [0799]/[3760] Speed: 120.227548 samples/sec accuracy=72.355469 loss=1.123646 lr=0.000311 Epoch[190] Batch [0849]/[3760] Speed: 120.081355 samples/sec accuracy=72.354779 loss=1.123890 lr=0.000310 Epoch[190] Batch [0899]/[3760] Speed: 119.625101 samples/sec accuracy=72.352431 loss=1.124323 lr=0.000308 Epoch[190] Batch [0949]/[3760] Speed: 120.074616 samples/sec accuracy=72.391447 loss=1.123396 lr=0.000307 Epoch[190] Batch [0999]/[3760] Speed: 120.403884 samples/sec accuracy=72.384375 loss=1.124278 lr=0.000305 Epoch[190] Batch [1049]/[3760] 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accuracy=72.376042 loss=1.127593 lr=0.000291 Epoch[190] Batch [1549]/[3760] Speed: 119.880704 samples/sec accuracy=72.364919 loss=1.128486 lr=0.000290 Epoch[190] Batch [1599]/[3760] Speed: 119.458504 samples/sec accuracy=72.380859 loss=1.128306 lr=0.000288 Epoch[190] Batch [1649]/[3760] Speed: 119.394590 samples/sec accuracy=72.403409 loss=1.128183 lr=0.000287 Epoch[190] Batch [1699]/[3760] Speed: 120.059643 samples/sec accuracy=72.405331 loss=1.127949 lr=0.000286 Epoch[190] Batch [1749]/[3760] Speed: 119.626975 samples/sec accuracy=72.363393 loss=1.129119 lr=0.000284 Epoch[190] Batch [1799]/[3760] Speed: 119.710030 samples/sec accuracy=72.337674 loss=1.129410 lr=0.000283 Epoch[190] Batch [1849]/[3760] Speed: 118.773469 samples/sec accuracy=72.375000 loss=1.128160 lr=0.000282 Epoch[190] Batch [1899]/[3760] Speed: 119.702283 samples/sec accuracy=72.356086 loss=1.128948 lr=0.000280 Epoch[190] Batch [1949]/[3760] Speed: 119.371660 samples/sec accuracy=72.344551 loss=1.129258 lr=0.000279 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loss=1.129171 lr=0.000254 Epoch[190] Batch [2949]/[3760] Speed: 119.721860 samples/sec accuracy=72.327860 loss=1.129754 lr=0.000252 Epoch[190] Batch [2999]/[3760] Speed: 119.799533 samples/sec accuracy=72.325000 loss=1.129436 lr=0.000251 Epoch[190] Batch [3049]/[3760] Speed: 119.493443 samples/sec accuracy=72.331967 loss=1.129743 lr=0.000250 Epoch[190] Batch [3099]/[3760] Speed: 119.805162 samples/sec accuracy=72.342742 loss=1.129667 lr=0.000248 Epoch[190] Batch [3149]/[3760] Speed: 119.580147 samples/sec accuracy=72.360119 loss=1.129074 lr=0.000247 Epoch[190] Batch [3199]/[3760] Speed: 119.116009 samples/sec accuracy=72.349609 loss=1.129291 lr=0.000246 Epoch[190] Batch [3249]/[3760] Speed: 118.959397 samples/sec accuracy=72.347115 loss=1.129172 lr=0.000245 Epoch[190] Batch [3299]/[3760] Speed: 119.375949 samples/sec accuracy=72.355587 loss=1.128883 lr=0.000243 Epoch[190] Batch [3349]/[3760] Speed: 120.084263 samples/sec accuracy=72.376866 loss=1.127797 lr=0.000242 Epoch[190] Batch 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acc-top5=84.291667 Batch [0199]/[0303]: acc-top1=65.929688 acc-top5=85.500000 Batch [0249]/[0303]: acc-top1=65.531250 acc-top5=85.062500 Batch [0299]/[0303]: acc-top1=64.994792 acc-top5=85.036458 [Epoch 190] training: accuracy=72.409824 loss=1.126244 [Epoch 190] speed: 119 samples/sec time cost: 2137.823970 [Epoch 190] validation: acc-top1=64.918523 acc-top5=85.045380 loss=1.580040 Epoch[191] Batch [0049]/[3760] Speed: 87.461775 samples/sec accuracy=71.812500 loss=1.125707 lr=0.000230 Epoch[191] Batch [0099]/[3760] Speed: 120.461197 samples/sec accuracy=72.406250 loss=1.107346 lr=0.000229 Epoch[191] Batch [0149]/[3760] Speed: 117.090146 samples/sec accuracy=72.416667 loss=1.104688 lr=0.000228 Epoch[191] Batch [0199]/[3760] Speed: 119.273201 samples/sec accuracy=72.601562 loss=1.110168 lr=0.000227 Epoch[191] Batch [0249]/[3760] Speed: 118.296440 samples/sec accuracy=72.625000 loss=1.110365 lr=0.000226 Epoch[191] Batch [0299]/[3760] Speed: 120.053529 samples/sec accuracy=72.651042 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accuracy=72.655000 loss=1.113222 lr=0.000202 Epoch[191] Batch [1299]/[3760] Speed: 120.150952 samples/sec accuracy=72.637019 loss=1.113561 lr=0.000201 Epoch[191] Batch [1349]/[3760] Speed: 119.682265 samples/sec accuracy=72.628472 loss=1.112605 lr=0.000199 Epoch[191] Batch [1399]/[3760] Speed: 120.099073 samples/sec accuracy=72.577009 loss=1.115942 lr=0.000198 Epoch[191] Batch [1449]/[3760] Speed: 119.056591 samples/sec accuracy=72.589440 loss=1.115012 lr=0.000197 Epoch[191] Batch [1499]/[3760] Speed: 120.187574 samples/sec accuracy=72.530208 loss=1.117553 lr=0.000196 Epoch[191] Batch [1549]/[3760] Speed: 119.685204 samples/sec accuracy=72.530242 loss=1.118041 lr=0.000195 Epoch[191] Batch [1599]/[3760] Speed: 119.262208 samples/sec accuracy=72.487305 loss=1.119210 lr=0.000194 Epoch[191] Batch [1649]/[3760] Speed: 119.588841 samples/sec accuracy=72.532197 loss=1.118306 lr=0.000193 Epoch[191] Batch [1699]/[3760] Speed: 118.767540 samples/sec accuracy=72.523897 loss=1.118195 lr=0.000191 Epoch[191] Batch [1749]/[3760] Speed: 119.847329 samples/sec accuracy=72.541964 loss=1.117518 lr=0.000190 Epoch[191] Batch [1799]/[3760] Speed: 120.335025 samples/sec accuracy=72.540799 loss=1.117021 lr=0.000189 Epoch[191] Batch [1849]/[3760] Speed: 116.829812 samples/sec accuracy=72.532095 loss=1.117039 lr=0.000188 Epoch[191] Batch [1899]/[3760] Speed: 118.980679 samples/sec accuracy=72.535362 loss=1.117022 lr=0.000187 Epoch[191] Batch [1949]/[3760] Speed: 119.015548 samples/sec accuracy=72.530449 loss=1.116851 lr=0.000186 Epoch[191] Batch [1999]/[3760] Speed: 120.019643 samples/sec accuracy=72.580469 loss=1.115423 lr=0.000185 Epoch[191] Batch [2049]/[3760] Speed: 118.855774 samples/sec accuracy=72.570884 loss=1.115795 lr=0.000184 Epoch[191] Batch [2099]/[3760] Speed: 119.604186 samples/sec accuracy=72.554315 loss=1.116070 lr=0.000183 Epoch[191] Batch [2149]/[3760] Speed: 119.349294 samples/sec accuracy=72.577035 loss=1.115985 lr=0.000181 Epoch[191] Batch [2199]/[3760] Speed: 118.845920 samples/sec accuracy=72.588068 loss=1.116042 lr=0.000180 Epoch[191] Batch [2249]/[3760] Speed: 120.094550 samples/sec accuracy=72.561806 loss=1.117229 lr=0.000179 Epoch[191] Batch [2299]/[3760] Speed: 118.699980 samples/sec accuracy=72.548234 loss=1.118300 lr=0.000178 Epoch[191] Batch [2349]/[3760] Speed: 120.446143 samples/sec accuracy=72.531915 loss=1.118278 lr=0.000177 Epoch[191] Batch [2399]/[3760] Speed: 119.290889 samples/sec accuracy=72.557292 loss=1.117116 lr=0.000176 Epoch[191] Batch [2449]/[3760] Speed: 119.373095 samples/sec accuracy=72.546556 loss=1.117629 lr=0.000175 Epoch[191] Batch [2499]/[3760] Speed: 119.757187 samples/sec accuracy=72.540625 loss=1.117695 lr=0.000174 Epoch[191] Batch [2549]/[3760] Speed: 119.012930 samples/sec accuracy=72.538603 loss=1.118143 lr=0.000173 Epoch[191] Batch [2599]/[3760] Speed: 119.877728 samples/sec accuracy=72.548077 loss=1.117882 lr=0.000172 Epoch[191] Batch [2649]/[3760] Speed: 119.192842 samples/sec accuracy=72.518278 loss=1.119256 lr=0.000171 Epoch[191] Batch [2699]/[3760] Speed: 119.726301 samples/sec accuracy=72.520255 loss=1.119629 lr=0.000170 Epoch[191] Batch [2749]/[3760] Speed: 118.792025 samples/sec accuracy=72.513636 loss=1.120043 lr=0.000169 Epoch[191] Batch [2799]/[3760] Speed: 119.995016 samples/sec accuracy=72.515625 loss=1.120252 lr=0.000167 Epoch[191] Batch [2849]/[3760] Speed: 119.538918 samples/sec accuracy=72.534539 loss=1.119323 lr=0.000166 Epoch[191] Batch [2899]/[3760] Speed: 119.995251 samples/sec accuracy=72.542565 loss=1.118800 lr=0.000165 Epoch[191] Batch [2949]/[3760] Speed: 118.967861 samples/sec accuracy=72.552966 loss=1.118380 lr=0.000164 Epoch[191] Batch [2999]/[3760] Speed: 119.506815 samples/sec accuracy=72.550000 loss=1.119026 lr=0.000163 Epoch[191] Batch [3049]/[3760] Speed: 119.637245 samples/sec accuracy=72.560963 loss=1.119124 lr=0.000162 Epoch[191] Batch [3099]/[3760] Speed: 119.483157 samples/sec accuracy=72.543347 loss=1.119855 lr=0.000161 Epoch[191] Batch 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accuracy=72.584635 loss=1.117149 lr=0.000151 Epoch[191] Batch [3649]/[3760] Speed: 119.792047 samples/sec accuracy=72.575771 loss=1.117389 lr=0.000150 Epoch[191] Batch [3699]/[3760] Speed: 119.845309 samples/sec accuracy=72.585304 loss=1.117291 lr=0.000149 Epoch[191] Batch [3749]/[3760] Speed: 123.138446 samples/sec accuracy=72.602500 loss=1.116869 lr=0.000148 Batch [0049]/[0303]: acc-top1=64.687500 acc-top5=84.468750 Batch [0099]/[0303]: acc-top1=62.015625 acc-top5=83.734375 Batch [0149]/[0303]: acc-top1=63.500000 acc-top5=84.437500 Batch [0199]/[0303]: acc-top1=65.890625 acc-top5=85.703125 Batch [0249]/[0303]: acc-top1=65.462500 acc-top5=85.325000 Batch [0299]/[0303]: acc-top1=65.088542 acc-top5=85.296875 [Epoch 191] training: accuracy=72.599318 loss=1.116802 [Epoch 191] speed: 118 samples/sec time cost: 2141.253758 [Epoch 191] validation: acc-top1=64.990718 acc-top5=85.292904 loss=1.573499 Epoch[192] Batch [0049]/[3759] Speed: 87.894025 samples/sec accuracy=72.000000 loss=1.135013 lr=0.000147 Epoch[192] Batch [0099]/[3759] Speed: 119.613959 samples/sec accuracy=71.703125 loss=1.126433 lr=0.000146 Epoch[192] Batch [0149]/[3759] Speed: 119.843113 samples/sec accuracy=71.614583 loss=1.124629 lr=0.000145 Epoch[192] Batch [0199]/[3759] Speed: 119.241328 samples/sec accuracy=71.835938 loss=1.126369 lr=0.000144 Epoch[192] Batch [0249]/[3759] Speed: 120.239691 samples/sec accuracy=72.225000 loss=1.112552 lr=0.000143 Epoch[192] Batch [0299]/[3759] Speed: 119.839887 samples/sec accuracy=72.250000 loss=1.114224 lr=0.000142 Epoch[192] Batch [0349]/[3759] Speed: 119.956999 samples/sec accuracy=72.303571 loss=1.112227 lr=0.000141 Epoch[192] Batch [0399]/[3759] Speed: 119.410774 samples/sec accuracy=72.398438 loss=1.108327 lr=0.000140 Epoch[192] Batch [0449]/[3759] Speed: 119.481160 samples/sec accuracy=72.472222 loss=1.104178 lr=0.000139 Epoch[192] Batch [0499]/[3759] Speed: 119.197432 samples/sec accuracy=72.450000 loss=1.104533 lr=0.000138 Epoch[192] Batch [0549]/[3759] 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accuracy=72.720312 loss=1.105761 lr=0.000129 Epoch[192] Batch [1049]/[3759] Speed: 119.548701 samples/sec accuracy=72.703869 loss=1.106662 lr=0.000128 Epoch[192] Batch [1099]/[3759] Speed: 120.539723 samples/sec accuracy=72.740057 loss=1.106332 lr=0.000127 Epoch[192] Batch [1149]/[3759] Speed: 119.986202 samples/sec accuracy=72.752717 loss=1.105166 lr=0.000126 Epoch[192] Batch [1199]/[3759] Speed: 119.024103 samples/sec accuracy=72.723958 loss=1.107418 lr=0.000125 Epoch[192] Batch [1249]/[3759] Speed: 119.173460 samples/sec accuracy=72.737500 loss=1.105891 lr=0.000124 Epoch[192] Batch [1299]/[3759] Speed: 119.743964 samples/sec accuracy=72.771635 loss=1.105065 lr=0.000123 Epoch[192] Batch [1349]/[3759] Speed: 116.236748 samples/sec accuracy=72.759259 loss=1.105555 lr=0.000122 Epoch[192] Batch [1399]/[3759] Speed: 120.548552 samples/sec accuracy=72.764509 loss=1.104550 lr=0.000121 Epoch[192] Batch [1449]/[3759] Speed: 119.403688 samples/sec accuracy=72.727371 loss=1.106165 lr=0.000120 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accuracy=72.792444 loss=1.106371 lr=0.000089 Epoch[192] Batch [3399]/[3759] Speed: 119.430992 samples/sec accuracy=72.785846 loss=1.106747 lr=0.000088 Epoch[192] Batch [3449]/[3759] Speed: 120.202356 samples/sec accuracy=72.784420 loss=1.107138 lr=0.000087 Epoch[192] Batch [3499]/[3759] Speed: 120.204432 samples/sec accuracy=72.776786 loss=1.107478 lr=0.000087 Epoch[192] Batch [3549]/[3759] Speed: 119.728284 samples/sec accuracy=72.779489 loss=1.107421 lr=0.000086 Epoch[192] Batch [3599]/[3759] Speed: 120.549932 samples/sec accuracy=72.779948 loss=1.107315 lr=0.000085 Epoch[192] Batch [3649]/[3759] Speed: 120.476884 samples/sec accuracy=72.787243 loss=1.106859 lr=0.000084 Epoch[192] Batch [3699]/[3759] Speed: 119.018895 samples/sec accuracy=72.796030 loss=1.106473 lr=0.000084 Epoch[192] Batch [3749]/[3759] Speed: 123.779923 samples/sec accuracy=72.770417 loss=1.106906 lr=0.000083 Batch [0049]/[0303]: acc-top1=64.406250 acc-top5=84.718750 Batch [0099]/[0303]: acc-top1=61.781250 acc-top5=83.828125 Batch [0149]/[0303]: acc-top1=63.385417 acc-top5=84.427083 Batch [0199]/[0303]: acc-top1=65.921875 acc-top5=85.695312 Batch [0249]/[0303]: acc-top1=65.512500 acc-top5=85.268750 Batch [0299]/[0303]: acc-top1=65.026042 acc-top5=85.208333 [Epoch 192] training: accuracy=72.767026 loss=1.107007 [Epoch 192] speed: 119 samples/sec time cost: 2137.707316 [Epoch 192] validation: acc-top1=64.954620 acc-top5=85.215553 loss=1.576815 Epoch[193] Batch [0049]/[3760] Speed: 88.144795 samples/sec accuracy=72.312500 loss=1.131690 lr=0.000082 Epoch[193] Batch [0099]/[3760] Speed: 119.474505 samples/sec accuracy=72.437500 loss=1.140900 lr=0.000081 Epoch[193] Batch [0149]/[3760] Speed: 119.295999 samples/sec accuracy=72.614583 loss=1.124454 lr=0.000080 Epoch[193] Batch [0199]/[3760] Speed: 119.825544 samples/sec accuracy=72.554688 loss=1.118084 lr=0.000080 Epoch[193] Batch [0249]/[3760] Speed: 118.974816 samples/sec accuracy=72.587500 loss=1.114832 lr=0.000079 Epoch[193] Batch 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accuracy=72.883333 loss=1.106847 lr=0.000072 Epoch[193] Batch [0799]/[3760] Speed: 116.533804 samples/sec accuracy=72.746094 loss=1.112708 lr=0.000071 Epoch[193] Batch [0849]/[3760] Speed: 120.015659 samples/sec accuracy=72.757353 loss=1.112905 lr=0.000071 Epoch[193] Batch [0899]/[3760] Speed: 120.068972 samples/sec accuracy=72.781250 loss=1.110786 lr=0.000070 Epoch[193] Batch [0949]/[3760] Speed: 119.210909 samples/sec accuracy=72.761513 loss=1.112537 lr=0.000069 Epoch[193] Batch [0999]/[3760] Speed: 119.076187 samples/sec accuracy=72.756250 loss=1.112583 lr=0.000069 Epoch[193] Batch [1049]/[3760] Speed: 119.305634 samples/sec accuracy=72.742560 loss=1.112510 lr=0.000068 Epoch[193] Batch [1099]/[3760] Speed: 118.920124 samples/sec accuracy=72.815341 loss=1.110146 lr=0.000067 Epoch[193] Batch [1149]/[3760] Speed: 120.340282 samples/sec accuracy=72.851902 loss=1.109326 lr=0.000067 Epoch[193] Batch [1199]/[3760] Speed: 119.430084 samples/sec accuracy=72.846354 loss=1.107376 lr=0.000066 Epoch[193] Batch [1249]/[3760] Speed: 118.700212 samples/sec accuracy=72.846250 loss=1.107405 lr=0.000065 Epoch[193] Batch [1299]/[3760] Speed: 119.668228 samples/sec accuracy=72.830529 loss=1.108802 lr=0.000065 Epoch[193] Batch [1349]/[3760] Speed: 120.562755 samples/sec accuracy=72.877315 loss=1.108448 lr=0.000064 Epoch[193] Batch [1399]/[3760] Speed: 119.314815 samples/sec accuracy=72.868304 loss=1.108647 lr=0.000063 Epoch[193] Batch [1449]/[3760] Speed: 119.677340 samples/sec accuracy=72.850216 loss=1.109195 lr=0.000063 Epoch[193] Batch [1499]/[3760] Speed: 120.117374 samples/sec accuracy=72.860417 loss=1.109119 lr=0.000062 Epoch[193] Batch [1549]/[3760] Speed: 119.669081 samples/sec accuracy=72.858871 loss=1.108578 lr=0.000061 Epoch[193] Batch [1599]/[3760] Speed: 119.578236 samples/sec accuracy=72.846680 loss=1.108248 lr=0.000061 Epoch[193] Batch [1649]/[3760] Speed: 119.616123 samples/sec accuracy=72.883523 loss=1.107683 lr=0.000060 Epoch[193] Batch [1699]/[3760] Speed: 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loss=1.102633 lr=0.000054 Epoch[193] Batch [2199]/[3760] Speed: 119.702570 samples/sec accuracy=72.951705 loss=1.103139 lr=0.000053 Epoch[193] Batch [2249]/[3760] Speed: 118.856213 samples/sec accuracy=72.947917 loss=1.103426 lr=0.000053 Epoch[193] Batch [2299]/[3760] Speed: 119.571731 samples/sec accuracy=72.934103 loss=1.103444 lr=0.000052 Epoch[193] Batch [2349]/[3760] Speed: 119.004579 samples/sec accuracy=72.914229 loss=1.103732 lr=0.000052 Epoch[193] Batch [2399]/[3760] Speed: 119.868577 samples/sec accuracy=72.911458 loss=1.104187 lr=0.000051 Epoch[193] Batch [2449]/[3760] Speed: 119.765570 samples/sec accuracy=72.895408 loss=1.104888 lr=0.000050 Epoch[193] Batch [2499]/[3760] Speed: 116.869186 samples/sec accuracy=72.866875 loss=1.105616 lr=0.000050 Epoch[193] Batch [2549]/[3760] Speed: 119.862070 samples/sec accuracy=72.857230 loss=1.105773 lr=0.000049 Epoch[193] Batch [2599]/[3760] Speed: 120.090034 samples/sec accuracy=72.876803 loss=1.104816 lr=0.000049 Epoch[193] Batch 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accuracy=72.920867 loss=1.104236 lr=0.000043 Epoch[193] Batch [3149]/[3760] Speed: 119.977569 samples/sec accuracy=72.928571 loss=1.103519 lr=0.000043 Epoch[193] Batch [3199]/[3760] Speed: 119.342809 samples/sec accuracy=72.921875 loss=1.103559 lr=0.000042 Epoch[193] Batch [3249]/[3760] Speed: 120.753522 samples/sec accuracy=72.908173 loss=1.104532 lr=0.000042 Epoch[193] Batch [3299]/[3760] Speed: 120.406380 samples/sec accuracy=72.932765 loss=1.103889 lr=0.000041 Epoch[193] Batch [3349]/[3760] Speed: 119.991550 samples/sec accuracy=72.931437 loss=1.103707 lr=0.000040 Epoch[193] Batch [3399]/[3760] Speed: 119.569333 samples/sec accuracy=72.931985 loss=1.103785 lr=0.000040 Epoch[193] Batch [3449]/[3760] Speed: 119.938510 samples/sec accuracy=72.937500 loss=1.103586 lr=0.000039 Epoch[193] Batch [3499]/[3760] Speed: 119.655610 samples/sec accuracy=72.935714 loss=1.103551 lr=0.000039 Epoch[193] Batch [3549]/[3760] Speed: 119.662526 samples/sec accuracy=72.931778 loss=1.103271 lr=0.000038 Epoch[193] Batch [3599]/[3760] Speed: 120.328115 samples/sec accuracy=72.932292 loss=1.103552 lr=0.000038 Epoch[193] Batch [3649]/[3760] Speed: 119.779750 samples/sec accuracy=72.930223 loss=1.103954 lr=0.000037 Epoch[193] Batch [3699]/[3760] Speed: 119.480270 samples/sec accuracy=72.922297 loss=1.104210 lr=0.000037 Epoch[193] Batch [3749]/[3760] Speed: 123.494368 samples/sec accuracy=72.922917 loss=1.104471 lr=0.000036 Batch [0049]/[0303]: acc-top1=64.968750 acc-top5=84.406250 Batch [0099]/[0303]: acc-top1=62.281250 acc-top5=83.750000 Batch [0149]/[0303]: acc-top1=63.583333 acc-top5=84.375000 Batch [0199]/[0303]: acc-top1=66.078125 acc-top5=85.695312 Batch [0249]/[0303]: acc-top1=65.593750 acc-top5=85.281250 Batch [0299]/[0303]: acc-top1=65.161458 acc-top5=85.239583 [Epoch 193] training: accuracy=72.928856 loss=1.104430 [Epoch 193] speed: 119 samples/sec time cost: 2138.612716 [Epoch 193] validation: acc-top1=65.073226 acc-top5=85.246493 loss=1.571143 Epoch[194] Batch [0049]/[3759] 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accuracy=73.387500 loss=1.086659 lr=0.000032 Epoch[194] Batch [0549]/[3759] Speed: 119.372856 samples/sec accuracy=73.366477 loss=1.089317 lr=0.000031 Epoch[194] Batch [0599]/[3759] Speed: 119.756768 samples/sec accuracy=73.427083 loss=1.090339 lr=0.000031 Epoch[194] Batch [0649]/[3759] Speed: 120.260188 samples/sec accuracy=73.473558 loss=1.087536 lr=0.000030 Epoch[194] Batch [0699]/[3759] Speed: 119.341850 samples/sec accuracy=73.470982 loss=1.088930 lr=0.000030 Epoch[194] Batch [0749]/[3759] Speed: 119.632888 samples/sec accuracy=73.456250 loss=1.090324 lr=0.000029 Epoch[194] Batch [0799]/[3759] Speed: 119.367834 samples/sec accuracy=73.443359 loss=1.089979 lr=0.000029 Epoch[194] Batch [0849]/[3759] Speed: 118.703697 samples/sec accuracy=73.457721 loss=1.087606 lr=0.000028 Epoch[194] Batch [0899]/[3759] Speed: 119.491857 samples/sec accuracy=73.432292 loss=1.089300 lr=0.000028 Epoch[194] Batch [0949]/[3759] Speed: 119.715991 samples/sec accuracy=73.345395 loss=1.092087 lr=0.000028 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loss=1.097886 lr=0.000020 Epoch[194] Batch [1949]/[3759] Speed: 119.823749 samples/sec accuracy=73.153846 loss=1.097795 lr=0.000020 Epoch[194] Batch [1999]/[3759] Speed: 119.457840 samples/sec accuracy=73.146875 loss=1.097628 lr=0.000019 Epoch[194] Batch [2049]/[3759] Speed: 117.215309 samples/sec accuracy=73.134146 loss=1.098034 lr=0.000019 Epoch[194] Batch [2099]/[3759] Speed: 119.836540 samples/sec accuracy=73.159226 loss=1.096472 lr=0.000019 Epoch[194] Batch [2149]/[3759] Speed: 119.188857 samples/sec accuracy=73.148983 loss=1.096799 lr=0.000018 Epoch[194] Batch [2199]/[3759] Speed: 119.444871 samples/sec accuracy=73.122869 loss=1.097530 lr=0.000018 Epoch[194] Batch [2249]/[3759] Speed: 119.387634 samples/sec accuracy=73.115278 loss=1.097546 lr=0.000018 Epoch[194] Batch [2299]/[3759] Speed: 119.494016 samples/sec accuracy=73.101902 loss=1.097676 lr=0.000017 Epoch[194] Batch [2349]/[3759] Speed: 119.883085 samples/sec accuracy=73.103723 loss=1.097117 lr=0.000017 Epoch[194] Batch 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accuracy=73.091557 loss=1.098160 lr=0.000014 Epoch[194] Batch [2899]/[3759] Speed: 118.922814 samples/sec accuracy=73.087823 loss=1.098704 lr=0.000013 Epoch[194] Batch [2949]/[3759] Speed: 119.003817 samples/sec accuracy=73.083157 loss=1.098457 lr=0.000013 Epoch[194] Batch [2999]/[3759] Speed: 118.822486 samples/sec accuracy=73.087500 loss=1.098350 lr=0.000013 Epoch[194] Batch [3049]/[3759] Speed: 119.883820 samples/sec accuracy=73.105020 loss=1.097482 lr=0.000013 Epoch[194] Batch [3099]/[3759] Speed: 120.400074 samples/sec accuracy=73.080141 loss=1.098385 lr=0.000012 Epoch[194] Batch [3149]/[3759] Speed: 119.672491 samples/sec accuracy=73.058532 loss=1.099160 lr=0.000012 Epoch[194] Batch [3199]/[3759] Speed: 119.833706 samples/sec accuracy=73.055664 loss=1.099531 lr=0.000012 Epoch[194] Batch [3249]/[3759] Speed: 119.347444 samples/sec accuracy=73.033654 loss=1.100724 lr=0.000011 Epoch[194] Batch [3299]/[3759] Speed: 119.287063 samples/sec accuracy=73.032670 loss=1.100410 lr=0.000011 Epoch[194] Batch [3349]/[3759] Speed: 119.719472 samples/sec accuracy=73.028918 loss=1.100421 lr=0.000011 Epoch[194] Batch [3399]/[3759] Speed: 119.198172 samples/sec accuracy=73.027574 loss=1.100257 lr=0.000011 Epoch[194] Batch [3449]/[3759] Speed: 119.641067 samples/sec accuracy=73.021739 loss=1.099927 lr=0.000010 Epoch[194] Batch [3499]/[3759] Speed: 120.156014 samples/sec accuracy=73.013839 loss=1.100251 lr=0.000010 Epoch[194] Batch [3549]/[3759] Speed: 119.658973 samples/sec accuracy=73.032570 loss=1.099437 lr=0.000010 Epoch[194] Batch [3599]/[3759] Speed: 119.836863 samples/sec accuracy=73.034722 loss=1.099524 lr=0.000010 Epoch[194] Batch [3649]/[3759] Speed: 116.957149 samples/sec accuracy=73.048801 loss=1.099021 lr=0.000009 Epoch[194] Batch [3699]/[3759] Speed: 120.124334 samples/sec accuracy=73.056588 loss=1.098515 lr=0.000009 Epoch[194] Batch [3749]/[3759] Speed: 123.503205 samples/sec accuracy=73.052500 loss=1.098656 lr=0.000009 Batch [0049]/[0303]: acc-top1=64.843750 acc-top5=84.687500 Batch [0099]/[0303]: acc-top1=62.265625 acc-top5=83.859375 Batch [0149]/[0303]: acc-top1=63.520833 acc-top5=84.447917 Batch [0199]/[0303]: acc-top1=66.093750 acc-top5=85.773438 Batch [0249]/[0303]: acc-top1=65.631250 acc-top5=85.300000 Batch [0299]/[0303]: acc-top1=65.156250 acc-top5=85.276042 [Epoch 194] training: accuracy=73.061319 loss=1.098453 [Epoch 194] speed: 118 samples/sec time cost: 2139.819470 [Epoch 194] validation: acc-top1=65.073226 acc-top5=85.261964 loss=1.573697 Epoch[195] Batch [0049]/[3760] Speed: 88.819682 samples/sec accuracy=74.250000 loss=1.046611 lr=0.000009 Epoch[195] Batch [0099]/[3760] Speed: 119.747537 samples/sec accuracy=73.562500 loss=1.075443 lr=0.000008 Epoch[195] Batch [0149]/[3760] Speed: 119.299273 samples/sec accuracy=73.177083 loss=1.078880 lr=0.000008 Epoch[195] Batch [0199]/[3760] Speed: 120.017281 samples/sec accuracy=73.132812 loss=1.089673 lr=0.000008 Epoch[195] Batch [0249]/[3760] Speed: 119.559240 samples/sec accuracy=72.975000 loss=1.092267 lr=0.000008 Epoch[195] Batch [0299]/[3760] Speed: 119.077794 samples/sec accuracy=72.932292 loss=1.095750 lr=0.000007 Epoch[195] Batch [0349]/[3760] Speed: 119.641346 samples/sec accuracy=72.946429 loss=1.093818 lr=0.000007 Epoch[195] Batch [0399]/[3760] Speed: 119.976111 samples/sec accuracy=73.031250 loss=1.091072 lr=0.000007 Epoch[195] Batch [0449]/[3760] Speed: 119.488372 samples/sec accuracy=73.180556 loss=1.089791 lr=0.000007 Epoch[195] Batch [0499]/[3760] Speed: 119.738253 samples/sec accuracy=73.300000 loss=1.086361 lr=0.000007 Epoch[195] Batch [0549]/[3760] Speed: 118.887472 samples/sec accuracy=73.272727 loss=1.086468 lr=0.000006 Epoch[195] Batch [0599]/[3760] Speed: 119.881380 samples/sec accuracy=73.234375 loss=1.089349 lr=0.000006 Epoch[195] Batch [0649]/[3760] Speed: 118.766671 samples/sec accuracy=73.360577 loss=1.085472 lr=0.000006 Epoch[195] Batch [0699]/[3760] Speed: 119.314461 samples/sec accuracy=73.433036 loss=1.086440 lr=0.000006 Epoch[195] Batch [0749]/[3760] Speed: 119.214647 samples/sec accuracy=73.387500 loss=1.087991 lr=0.000006 Epoch[195] Batch [0799]/[3760] Speed: 118.847888 samples/sec accuracy=73.367188 loss=1.090504 lr=0.000005 Epoch[195] Batch [0849]/[3760] Speed: 119.595004 samples/sec accuracy=73.373162 loss=1.090052 lr=0.000005 Epoch[195] Batch [0899]/[3760] Speed: 118.965159 samples/sec accuracy=73.355903 loss=1.091055 lr=0.000005 Epoch[195] Batch [0949]/[3760] Speed: 119.632182 samples/sec accuracy=73.330592 loss=1.091603 lr=0.000005 Epoch[195] Batch [0999]/[3760] Speed: 119.050544 samples/sec accuracy=73.367188 loss=1.088981 lr=0.000005 Epoch[195] Batch [1049]/[3760] Speed: 119.506685 samples/sec accuracy=73.398810 loss=1.087823 lr=0.000004 Epoch[195] Batch [1099]/[3760] Speed: 119.619029 samples/sec accuracy=73.416193 loss=1.086424 lr=0.000004 Epoch[195] Batch [1149]/[3760] Speed: 119.192680 samples/sec accuracy=73.379076 loss=1.087640 lr=0.000004 Epoch[195] Batch [1199]/[3760] Speed: 119.310705 samples/sec accuracy=73.365885 loss=1.088990 lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 118.738654 samples/sec accuracy=73.337500 loss=1.089741 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 119.253425 samples/sec accuracy=73.305288 loss=1.090823 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 119.153285 samples/sec accuracy=73.318287 loss=1.090935 lr=0.000003 Epoch[195] Batch [1399]/[3760] Speed: 119.379141 samples/sec accuracy=73.315848 loss=1.090989 lr=0.000003 Epoch[195] Batch [1449]/[3760] Speed: 117.119087 samples/sec accuracy=73.335129 loss=1.090376 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 119.200293 samples/sec accuracy=73.302083 loss=1.090851 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 119.717523 samples/sec accuracy=73.309476 loss=1.091689 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 120.024342 samples/sec accuracy=73.290039 loss=1.091785 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 119.037073 samples/sec accuracy=73.296402 loss=1.091577 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 119.596851 samples/sec accuracy=73.236213 loss=1.093023 lr=0.000002 Epoch[195] Batch [1749]/[3760] Speed: 119.118283 samples/sec accuracy=73.275893 loss=1.091120 lr=0.000002 Epoch[195] Batch [1799]/[3760] Speed: 120.484896 samples/sec accuracy=73.265625 loss=1.091175 lr=0.000002 Epoch[195] Batch [1849]/[3760] Speed: 119.689404 samples/sec accuracy=73.254223 loss=1.091508 lr=0.000002 Epoch[195] Batch [1899]/[3760] Speed: 119.649480 samples/sec accuracy=73.251645 loss=1.092313 lr=0.000002 Epoch[195] Batch [1949]/[3760] Speed: 119.255598 samples/sec accuracy=73.246795 loss=1.092586 lr=0.000002 Epoch[195] Batch [1999]/[3760] Speed: 119.882450 samples/sec accuracy=73.216406 loss=1.093801 lr=0.000002 Epoch[195] Batch [2049]/[3760] Speed: 119.414255 samples/sec accuracy=73.210366 loss=1.093767 lr=0.000002 Epoch[195] Batch [2099]/[3760] Speed: 119.209956 samples/sec accuracy=73.215774 loss=1.094204 lr=0.000002 Epoch[195] Batch [2149]/[3760] Speed: 120.115682 samples/sec accuracy=73.207849 loss=1.094612 lr=0.000001 Epoch[195] Batch [2199]/[3760] Speed: 119.710500 samples/sec accuracy=73.196733 loss=1.095262 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 119.855611 samples/sec accuracy=73.229167 loss=1.093799 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 119.958028 samples/sec accuracy=73.204484 loss=1.094387 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 119.018268 samples/sec accuracy=73.204122 loss=1.094162 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 120.292514 samples/sec accuracy=73.216797 loss=1.093338 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 119.751962 samples/sec accuracy=73.195791 loss=1.093767 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 119.729577 samples/sec accuracy=73.194375 loss=1.094320 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 119.583205 samples/sec accuracy=73.177696 loss=1.094931 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 118.569841 samples/sec accuracy=73.155649 loss=1.095118 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 119.903536 samples/sec accuracy=73.142689 loss=1.096014 lr=0.000001 Epoch[195] Batch [2699]/[3760] Speed: 119.708347 samples/sec accuracy=73.146412 loss=1.096401 lr=0.000001 Epoch[195] Batch [2749]/[3760] Speed: 119.859651 samples/sec accuracy=73.161364 loss=1.095502 lr=0.000001 Epoch[195] Batch [2799]/[3760] Speed: 119.479074 samples/sec accuracy=73.159598 loss=1.095780 lr=0.000000 Epoch[195] Batch [2849]/[3760] Speed: 119.313230 samples/sec accuracy=73.165570 loss=1.095779 lr=0.000000 Epoch[195] Batch [2899]/[3760] Speed: 120.201015 samples/sec accuracy=73.167565 loss=1.095580 lr=0.000000 Epoch[195] Batch [2949]/[3760] Speed: 119.965003 samples/sec accuracy=73.175318 loss=1.095841 lr=0.000000 Epoch[195] Batch [2999]/[3760] Speed: 119.367105 samples/sec accuracy=73.173958 loss=1.095362 lr=0.000000 Epoch[195] Batch [3049]/[3760] Speed: 119.175266 samples/sec accuracy=73.179816 loss=1.095901 lr=0.000000 Epoch[195] Batch [3099]/[3760] Speed: 120.498825 samples/sec accuracy=73.168851 loss=1.096327 lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 119.647172 samples/sec accuracy=73.187996 loss=1.095813 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 116.348788 samples/sec accuracy=73.186523 loss=1.096120 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 119.520953 samples/sec accuracy=73.199038 loss=1.095854 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 119.658036 samples/sec accuracy=73.193182 loss=1.095929 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 119.167854 samples/sec accuracy=73.209422 loss=1.095675 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 119.301854 samples/sec accuracy=73.215074 loss=1.095903 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 120.424598 samples/sec accuracy=73.197011 loss=1.096109 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 119.322465 samples/sec accuracy=73.172768 loss=1.096760 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 119.420310 samples/sec accuracy=73.190581 loss=1.096067 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 119.423425 samples/sec accuracy=73.201389 loss=1.095240 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 118.573585 samples/sec accuracy=73.182363 loss=1.096081 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 119.312079 samples/sec accuracy=73.175676 loss=1.096192 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 123.185729 samples/sec accuracy=73.170417 loss=1.096301 lr=0.000000 Batch [0049]/[0303]: acc-top1=65.312500 acc-top5=84.250000 Batch [0099]/[0303]: acc-top1=62.281250 acc-top5=83.609375 Batch [0149]/[0303]: acc-top1=63.708333 acc-top5=84.197917 Batch [0199]/[0303]: acc-top1=66.179688 acc-top5=85.453125 Batch [0249]/[0303]: acc-top1=65.731250 acc-top5=85.106250 Batch [0299]/[0303]: acc-top1=65.276042 acc-top5=85.067708 [Epoch 195] training: accuracy=73.171127 loss=1.096377 [Epoch 195] speed: 118 samples/sec time cost: 2141.057429 [Epoch 195] validation: acc-top1=65.196988 acc-top5=85.071163 loss=1.568381