Namespace(accumulate=1, batch_norm=False, batch_size=8, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, hard_weight=0.5, hashtag='', input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='tsn_2d_rgb_res18_seg7_kinetics400_b8_g8_cosine_cleanv3.txt', lr=0.01, 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='resnet18_v1b_kinetics400', momentum=0.9, new_height=256, new_length=1, new_step=1, new_width=340, no_wd=False, num_classes=400, num_crop=1, num_epochs=100, num_gpus=8, num_segments=7, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/kinetics400/2dresnet/tsn_2d_rgb_res18_seg7_kinetics400_b8_g8_cosine_cleanv3', save_frequency=20, 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=0, warmup_lr=0.0, wd=0.0001) Total batch size is set to 64 on 8 GPUs ActionRecResNetV1b( (conv1): Conv2D(3 -> 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (maxpool): MaxPool2D(size=(3, 3), stride=(2, 2), padding=(1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCHW) (layer1): HybridSequential( (0): BasicBlockV1b( (conv1): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu1): Activation(relu) (conv2): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu2): Activation(relu) ) (1): BasicBlockV1b( (conv1): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu1): Activation(relu) (conv2): Conv2D(64 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu2): Activation(relu) ) ) (layer2): HybridSequential( (0): BasicBlockV1b( (conv1): Conv2D(64 -> 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu1): Activation(relu) (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu2): Activation(relu) (downsample): HybridSequential( (0): Conv2D(64 -> 128, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) ) (1): BasicBlockV1b( (conv1): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu1): Activation(relu) (conv2): Conv2D(128 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu2): Activation(relu) ) ) (layer3): HybridSequential( (0): BasicBlockV1b( (conv1): Conv2D(128 -> 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu1): Activation(relu) (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu2): Activation(relu) (downsample): HybridSequential( (0): Conv2D(128 -> 256, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) ) (1): BasicBlockV1b( (conv1): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu1): Activation(relu) (conv2): Conv2D(256 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu2): Activation(relu) ) ) (layer4): HybridSequential( (0): BasicBlockV1b( (conv1): Conv2D(256 -> 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu1): Activation(relu) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu2): Activation(relu) (downsample): HybridSequential( (0): Conv2D(256 -> 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) ) (1): BasicBlockV1b( (conv1): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu1): Activation(relu) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu2): Activation(relu) ) ) (avgpool): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCHW) (flat): Flatten (drop): Dropout(p = 0.5, axes=()) (output): Dense(512 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 80.842180 samples/sec accuracy=0.937500 loss=5.905186 lr=0.010000 Epoch[000] Batch [0099]/[3759] Speed: 121.326914 samples/sec accuracy=2.031250 loss=5.727119 lr=0.010000 Epoch[000] Batch [0149]/[3759] Speed: 121.643882 samples/sec accuracy=3.552083 loss=5.516234 lr=0.010000 Epoch[000] Batch [0199]/[3759] Speed: 118.320345 samples/sec accuracy=4.851562 loss=5.330096 lr=0.010000 Epoch[000] Batch [0249]/[3759] Speed: 112.202753 samples/sec accuracy=6.187500 loss=5.172033 lr=0.010000 Epoch[000] Batch [0299]/[3759] Speed: 126.548627 samples/sec accuracy=7.250000 loss=5.035008 lr=0.010000 Epoch[000] Batch [0349]/[3759] Speed: 111.747754 samples/sec accuracy=8.299107 loss=4.921138 lr=0.010000 Epoch[000] Batch [0399]/[3759] Speed: 125.503836 samples/sec accuracy=9.332031 loss=4.817794 lr=0.010000 Epoch[000] Batch [0449]/[3759] Speed: 110.632107 samples/sec accuracy=10.163194 loss=4.730449 lr=0.010000 Epoch[000] Batch [0499]/[3759] Speed: 126.757387 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acc-top1=35.656250 acc-top5=63.875000 Batch [0099]/[0303]: acc-top1=35.656250 acc-top5=63.781250 Batch [0149]/[0303]: acc-top1=35.979167 acc-top5=63.947917 Batch [0199]/[0303]: acc-top1=35.781250 acc-top5=63.679688 Batch [0249]/[0303]: acc-top1=35.850000 acc-top5=63.981250 Batch [0299]/[0303]: acc-top1=35.968750 acc-top5=64.328125 [Epoch 000] training: accuracy=27.680234 loss=3.361105 [Epoch 000] speed: 118 samples/sec time cost: 2225.585072 [Epoch 000] validation: acc-top1=35.973597 acc-top5=64.351279 loss=2.879150 Epoch[001] Batch [0049]/[3760] Speed: 90.037959 samples/sec accuracy=36.812500 loss=2.790129 lr=0.009997 Epoch[001] Batch [0099]/[3760] Speed: 118.826884 samples/sec accuracy=35.953125 loss=2.836627 lr=0.009997 Epoch[001] Batch [0149]/[3760] Speed: 140.257419 samples/sec accuracy=36.145833 loss=2.841365 lr=0.009997 Epoch[001] Batch [0199]/[3760] Speed: 122.648161 samples/sec accuracy=36.578125 loss=2.815932 lr=0.009997 Epoch[001] Batch [0249]/[3760] Speed: 135.277501 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accuracy=37.276515 loss=2.770237 lr=0.009995 Epoch[001] Batch [1699]/[3760] Speed: 123.059537 samples/sec accuracy=37.326287 loss=2.767256 lr=0.009995 Epoch[001] Batch [1749]/[3760] Speed: 129.556689 samples/sec accuracy=37.325000 loss=2.767387 lr=0.009995 Epoch[001] Batch [1799]/[3760] Speed: 123.691665 samples/sec accuracy=37.286458 loss=2.768685 lr=0.009995 Epoch[001] Batch [1849]/[3760] Speed: 143.171216 samples/sec accuracy=37.268581 loss=2.769916 lr=0.009995 Epoch[001] Batch [1899]/[3760] Speed: 111.471126 samples/sec accuracy=37.296053 loss=2.767965 lr=0.009994 Epoch[001] Batch [1949]/[3760] Speed: 145.517629 samples/sec accuracy=37.317308 loss=2.766092 lr=0.009994 Epoch[001] Batch [1999]/[3760] Speed: 110.369146 samples/sec accuracy=37.344531 loss=2.764455 lr=0.009994 Epoch[001] Batch [2049]/[3760] Speed: 143.969167 samples/sec accuracy=37.356707 loss=2.765060 lr=0.009994 Epoch[001] Batch [2099]/[3760] Speed: 116.297325 samples/sec accuracy=37.370536 loss=2.765166 lr=0.009994 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loss=2.745080 lr=0.009992 Epoch[001] Batch [3099]/[3760] Speed: 122.979716 samples/sec accuracy=37.844758 loss=2.743165 lr=0.009992 Epoch[001] Batch [3149]/[3760] Speed: 132.691016 samples/sec accuracy=37.866567 loss=2.742208 lr=0.009992 Epoch[001] Batch [3199]/[3760] Speed: 117.952839 samples/sec accuracy=37.871094 loss=2.741353 lr=0.009992 Epoch[001] Batch [3249]/[3760] Speed: 127.584954 samples/sec accuracy=37.875962 loss=2.740749 lr=0.009991 Epoch[001] Batch [3299]/[3760] Speed: 132.978731 samples/sec accuracy=37.906723 loss=2.739431 lr=0.009991 Epoch[001] Batch [3349]/[3760] Speed: 122.938723 samples/sec accuracy=37.954757 loss=2.738212 lr=0.009991 Epoch[001] Batch [3399]/[3760] Speed: 135.118353 samples/sec accuracy=37.979320 loss=2.737307 lr=0.009991 Epoch[001] Batch [3449]/[3760] Speed: 115.273936 samples/sec accuracy=37.995018 loss=2.736321 lr=0.009991 Epoch[001] Batch [3499]/[3760] Speed: 141.760504 samples/sec accuracy=38.014286 loss=2.735953 lr=0.009991 Epoch[001] Batch [3549]/[3760] Speed: 113.876363 samples/sec accuracy=38.049736 loss=2.734729 lr=0.009991 Epoch[001] Batch [3599]/[3760] Speed: 133.927908 samples/sec accuracy=38.074219 loss=2.733187 lr=0.009991 Epoch[001] Batch [3649]/[3760] Speed: 129.361391 samples/sec accuracy=38.092894 loss=2.732259 lr=0.009990 Epoch[001] Batch [3699]/[3760] Speed: 128.607708 samples/sec accuracy=38.124578 loss=2.730427 lr=0.009990 Epoch[001] Batch [3749]/[3760] Speed: 145.123774 samples/sec accuracy=38.141250 loss=2.729018 lr=0.009990 Batch [0049]/[0303]: acc-top1=41.750000 acc-top5=68.562500 Batch [0099]/[0303]: acc-top1=41.734375 acc-top5=68.640625 Batch [0149]/[0303]: acc-top1=42.385417 acc-top5=68.614583 Batch [0199]/[0303]: acc-top1=42.070312 acc-top5=68.601562 Batch [0249]/[0303]: acc-top1=42.231250 acc-top5=68.825000 Batch [0299]/[0303]: acc-top1=42.578125 acc-top5=68.963542 [Epoch 001] training: accuracy=38.138298 loss=2.729223 [Epoch 001] speed: 126 samples/sec time cost: 2085.718737 [Epoch 001] validation: acc-top1=42.600041 acc-top5=68.987211 loss=2.596202 Epoch[002] Batch [0049]/[3759] Speed: 91.865879 samples/sec accuracy=41.343750 loss=2.637176 lr=0.009990 Epoch[002] Batch [0099]/[3759] Speed: 135.984271 samples/sec accuracy=41.453125 loss=2.585109 lr=0.009990 Epoch[002] Batch [0149]/[3759] Speed: 121.702683 samples/sec accuracy=42.093750 loss=2.549291 lr=0.009990 Epoch[002] Batch [0199]/[3759] Speed: 125.023415 samples/sec accuracy=41.812500 loss=2.544128 lr=0.009990 Epoch[002] Batch [0249]/[3759] Speed: 128.576357 samples/sec accuracy=41.700000 loss=2.546814 lr=0.009989 Epoch[002] Batch [0299]/[3759] Speed: 125.962065 samples/sec accuracy=41.671875 loss=2.549433 lr=0.009989 Epoch[002] Batch [0349]/[3759] Speed: 125.862201 samples/sec accuracy=41.727679 loss=2.542632 lr=0.009989 Epoch[002] Batch [0399]/[3759] Speed: 126.049055 samples/sec accuracy=41.515625 loss=2.544663 lr=0.009989 Epoch[002] Batch [0449]/[3759] Speed: 139.063089 samples/sec accuracy=41.406250 loss=2.544144 lr=0.009989 Epoch[002] Batch [0499]/[3759] Speed: 111.829239 samples/sec accuracy=41.393750 loss=2.546939 lr=0.009989 Epoch[002] Batch [0549]/[3759] Speed: 148.452119 samples/sec accuracy=41.366477 loss=2.548294 lr=0.009989 Epoch[002] Batch [0599]/[3759] Speed: 114.383832 samples/sec accuracy=41.403646 loss=2.548992 lr=0.009988 Epoch[002] Batch [0649]/[3759] Speed: 137.861007 samples/sec accuracy=41.451923 loss=2.546024 lr=0.009988 Epoch[002] Batch [0699]/[3759] Speed: 115.235602 samples/sec accuracy=41.462054 loss=2.545757 lr=0.009988 Epoch[002] Batch [0749]/[3759] Speed: 139.719342 samples/sec accuracy=41.489583 loss=2.544724 lr=0.009988 Epoch[002] Batch [0799]/[3759] Speed: 115.792189 samples/sec accuracy=41.468750 loss=2.544237 lr=0.009988 Epoch[002] Batch [0849]/[3759] Speed: 150.217376 samples/sec accuracy=41.450368 loss=2.545507 lr=0.009988 Epoch[002] Batch [0899]/[3759] Speed: 109.148863 samples/sec accuracy=41.480903 loss=2.544837 lr=0.009988 Epoch[002] Batch 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accuracy=41.310268 loss=2.551091 lr=0.009986 Epoch[002] Batch [1449]/[3759] Speed: 133.293772 samples/sec accuracy=41.265086 loss=2.553803 lr=0.009986 Epoch[002] Batch [1499]/[3759] Speed: 120.667661 samples/sec accuracy=41.233333 loss=2.556195 lr=0.009986 Epoch[002] Batch [1549]/[3759] Speed: 139.674538 samples/sec accuracy=41.215726 loss=2.556133 lr=0.009986 Epoch[002] Batch [1599]/[3759] Speed: 115.649642 samples/sec accuracy=41.229492 loss=2.554980 lr=0.009985 Epoch[002] Batch [1649]/[3759] Speed: 136.385807 samples/sec accuracy=41.248106 loss=2.554877 lr=0.009985 Epoch[002] Batch [1699]/[3759] Speed: 121.481640 samples/sec accuracy=41.257353 loss=2.555923 lr=0.009985 Epoch[002] Batch [1749]/[3759] Speed: 126.155386 samples/sec accuracy=41.275000 loss=2.555415 lr=0.009985 Epoch[002] Batch [1799]/[3759] Speed: 132.893513 samples/sec accuracy=41.277778 loss=2.556107 lr=0.009985 Epoch[002] Batch [1849]/[3759] Speed: 124.199579 samples/sec accuracy=41.298986 loss=2.553752 lr=0.009985 Epoch[002] Batch [1899]/[3759] Speed: 129.674039 samples/sec accuracy=41.284539 loss=2.554735 lr=0.009985 Epoch[002] Batch [1949]/[3759] Speed: 128.413356 samples/sec accuracy=41.334936 loss=2.552862 lr=0.009984 Epoch[002] Batch [1999]/[3759] Speed: 124.169509 samples/sec accuracy=41.340625 loss=2.551949 lr=0.009984 Epoch[002] Batch [2049]/[3759] Speed: 126.863160 samples/sec accuracy=41.366616 loss=2.551940 lr=0.009984 Epoch[002] Batch [2099]/[3759] Speed: 130.129303 samples/sec accuracy=41.389881 loss=2.549802 lr=0.009984 Epoch[002] Batch [2149]/[3759] Speed: 120.837661 samples/sec accuracy=41.391715 loss=2.548785 lr=0.009984 Epoch[002] Batch [2199]/[3759] Speed: 136.805999 samples/sec accuracy=41.392756 loss=2.548054 lr=0.009984 Epoch[002] Batch [2249]/[3759] Speed: 116.899528 samples/sec accuracy=41.398611 loss=2.548746 lr=0.009983 Epoch[002] Batch [2299]/[3759] Speed: 146.609864 samples/sec accuracy=41.432745 loss=2.546850 lr=0.009983 Epoch[002] Batch [2349]/[3759] Speed: 109.777065 samples/sec accuracy=41.438830 loss=2.547229 lr=0.009983 Epoch[002] Batch [2399]/[3759] Speed: 139.463861 samples/sec accuracy=41.438151 loss=2.547239 lr=0.009983 Epoch[002] Batch [2449]/[3759] Speed: 116.024217 samples/sec accuracy=41.459184 loss=2.546685 lr=0.009983 Epoch[002] Batch [2499]/[3759] Speed: 144.104689 samples/sec accuracy=41.476250 loss=2.546522 lr=0.009982 Epoch[002] Batch [2549]/[3759] Speed: 122.042638 samples/sec accuracy=41.515319 loss=2.544226 lr=0.009982 Epoch[002] Batch [2599]/[3759] Speed: 127.847512 samples/sec accuracy=41.525841 loss=2.544609 lr=0.009982 Epoch[002] Batch [2649]/[3759] Speed: 131.746960 samples/sec accuracy=41.511792 loss=2.544987 lr=0.009982 Epoch[002] Batch [2699]/[3759] Speed: 123.053132 samples/sec accuracy=41.550347 loss=2.543188 lr=0.009982 Epoch[002] Batch [2749]/[3759] Speed: 133.296055 samples/sec accuracy=41.567614 loss=2.542478 lr=0.009982 Epoch[002] Batch [2799]/[3759] Speed: 117.781659 samples/sec accuracy=41.598214 loss=2.542478 lr=0.009981 Epoch[002] Batch [2849]/[3759] Speed: 143.160125 samples/sec accuracy=41.607456 loss=2.542372 lr=0.009981 Epoch[002] Batch [2899]/[3759] Speed: 114.410146 samples/sec accuracy=41.602371 loss=2.541925 lr=0.009981 Epoch[002] Batch [2949]/[3759] Speed: 142.651996 samples/sec accuracy=41.591631 loss=2.541590 lr=0.009981 Epoch[002] Batch [2999]/[3759] Speed: 121.072553 samples/sec accuracy=41.591667 loss=2.540899 lr=0.009981 Epoch[002] Batch [3049]/[3759] Speed: 134.333920 samples/sec accuracy=41.599898 loss=2.539943 lr=0.009981 Epoch[002] Batch [3099]/[3759] Speed: 118.810803 samples/sec accuracy=41.612399 loss=2.538701 lr=0.009980 Epoch[002] Batch [3149]/[3759] Speed: 134.339457 samples/sec accuracy=41.621032 loss=2.537755 lr=0.009980 Epoch[002] Batch [3199]/[3759] Speed: 120.559918 samples/sec accuracy=41.634277 loss=2.537499 lr=0.009980 Epoch[002] Batch [3249]/[3759] Speed: 130.835390 samples/sec accuracy=41.650481 loss=2.537071 lr=0.009980 Epoch[002] Batch 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accuracy=41.733750 loss=2.533845 lr=0.009978 Batch [0049]/[0303]: acc-top1=43.687500 acc-top5=70.531250 Batch [0099]/[0303]: acc-top1=43.078125 acc-top5=69.703125 Batch [0149]/[0303]: acc-top1=43.395833 acc-top5=69.937500 Batch [0199]/[0303]: acc-top1=43.421875 acc-top5=69.828125 Batch [0249]/[0303]: acc-top1=43.731250 acc-top5=69.837500 Batch [0299]/[0303]: acc-top1=43.953125 acc-top5=70.026042 [Epoch 002] training: accuracy=41.736915 loss=2.533575 [Epoch 002] speed: 127 samples/sec time cost: 2082.442798 [Epoch 002] validation: acc-top1=43.971741 acc-top5=70.023721 loss=2.642572 Epoch[003] Batch [0049]/[3760] Speed: 94.664198 samples/sec accuracy=44.937500 loss=2.352650 lr=0.009978 Epoch[003] Batch [0099]/[3760] Speed: 118.932331 samples/sec accuracy=45.390625 loss=2.347092 lr=0.009977 Epoch[003] Batch [0149]/[3760] Speed: 138.577926 samples/sec accuracy=45.177083 loss=2.363081 lr=0.009977 Epoch[003] Batch [0199]/[3760] Speed: 126.452185 samples/sec accuracy=44.734375 loss=2.390603 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accuracy=44.127717 loss=2.411682 lr=0.009973 Epoch[003] Batch [1199]/[3760] Speed: 142.989322 samples/sec accuracy=44.109375 loss=2.413232 lr=0.009973 Epoch[003] Batch [1249]/[3760] Speed: 119.294528 samples/sec accuracy=44.058750 loss=2.414388 lr=0.009973 Epoch[003] Batch [1299]/[3760] Speed: 136.194602 samples/sec accuracy=44.070913 loss=2.414726 lr=0.009972 Epoch[003] Batch [1349]/[3760] Speed: 114.956950 samples/sec accuracy=44.077546 loss=2.415305 lr=0.009972 Epoch[003] Batch [1399]/[3760] Speed: 148.371655 samples/sec accuracy=44.119420 loss=2.413138 lr=0.009972 Epoch[003] Batch [1449]/[3760] Speed: 120.241720 samples/sec accuracy=44.123922 loss=2.412503 lr=0.009972 Epoch[003] Batch [1499]/[3760] Speed: 130.293997 samples/sec accuracy=44.126042 loss=2.411913 lr=0.009972 Epoch[003] Batch [1549]/[3760] Speed: 124.890206 samples/sec accuracy=44.129032 loss=2.411373 lr=0.009971 Epoch[003] Batch [1599]/[3760] Speed: 127.507923 samples/sec accuracy=44.103516 loss=2.411571 lr=0.009971 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loss=2.406724 lr=0.009967 Epoch[003] Batch [2599]/[3760] Speed: 127.535273 samples/sec accuracy=44.160457 loss=2.405557 lr=0.009966 Epoch[003] Batch [2649]/[3760] Speed: 122.400872 samples/sec accuracy=44.157429 loss=2.405429 lr=0.009966 Epoch[003] Batch [2699]/[3760] Speed: 133.925172 samples/sec accuracy=44.181713 loss=2.405309 lr=0.009966 Epoch[003] Batch [2749]/[3760] Speed: 135.130773 samples/sec accuracy=44.213636 loss=2.403959 lr=0.009966 Epoch[003] Batch [2799]/[3760] Speed: 130.866630 samples/sec accuracy=44.221540 loss=2.403319 lr=0.009965 Epoch[003] Batch [2849]/[3760] Speed: 124.288755 samples/sec accuracy=44.256579 loss=2.401853 lr=0.009965 Epoch[003] Batch [2899]/[3760] Speed: 129.772681 samples/sec accuracy=44.269397 loss=2.401708 lr=0.009965 Epoch[003] Batch [2949]/[3760] Speed: 125.530195 samples/sec accuracy=44.254767 loss=2.402961 lr=0.009965 Epoch[003] Batch [2999]/[3760] Speed: 131.981327 samples/sec accuracy=44.282812 loss=2.402767 lr=0.009964 Epoch[003] Batch 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accuracy=44.328571 loss=2.401153 lr=0.009962 Epoch[003] Batch [3549]/[3760] Speed: 122.733893 samples/sec accuracy=44.334507 loss=2.400930 lr=0.009962 Epoch[003] Batch [3599]/[3760] Speed: 128.403519 samples/sec accuracy=44.335503 loss=2.400301 lr=0.009961 Epoch[003] Batch [3649]/[3760] Speed: 117.772986 samples/sec accuracy=44.355308 loss=2.399458 lr=0.009961 Epoch[003] Batch [3699]/[3760] Speed: 136.607664 samples/sec accuracy=44.350084 loss=2.399829 lr=0.009961 Epoch[003] Batch [3749]/[3760] Speed: 148.625713 samples/sec accuracy=44.367917 loss=2.399475 lr=0.009961 Batch [0049]/[0303]: acc-top1=45.375000 acc-top5=71.593750 Batch [0099]/[0303]: acc-top1=44.765625 acc-top5=71.359375 Batch [0149]/[0303]: acc-top1=44.906250 acc-top5=71.239583 Batch [0199]/[0303]: acc-top1=45.140625 acc-top5=71.320312 Batch [0249]/[0303]: acc-top1=45.181250 acc-top5=71.418750 Batch [0299]/[0303]: acc-top1=45.437500 acc-top5=71.656250 [Epoch 003] training: accuracy=44.370429 loss=2.399555 [Epoch 003] speed: 127 samples/sec time cost: 2071.406567 [Epoch 003] validation: acc-top1=45.441419 acc-top5=71.648102 loss=2.497339 Epoch[004] Batch [0049]/[3760] Speed: 92.124628 samples/sec accuracy=45.093750 loss=2.368390 lr=0.009960 Epoch[004] Batch [0099]/[3760] Speed: 127.485979 samples/sec accuracy=45.593750 loss=2.340720 lr=0.009960 Epoch[004] Batch [0149]/[3760] Speed: 130.045255 samples/sec accuracy=45.697917 loss=2.333023 lr=0.009960 Epoch[004] Batch [0199]/[3760] Speed: 129.017490 samples/sec accuracy=45.398438 loss=2.343349 lr=0.009960 Epoch[004] Batch [0249]/[3760] Speed: 122.620756 samples/sec accuracy=46.031250 loss=2.328662 lr=0.009959 Epoch[004] Batch [0299]/[3760] Speed: 136.298102 samples/sec accuracy=46.291667 loss=2.311107 lr=0.009959 Epoch[004] Batch [0349]/[3760] Speed: 123.110558 samples/sec accuracy=46.531250 loss=2.304363 lr=0.009959 Epoch[004] Batch [0399]/[3760] Speed: 132.471897 samples/sec accuracy=46.351562 loss=2.307283 lr=0.009958 Epoch[004] Batch [0449]/[3760] 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accuracy=46.227431 loss=2.311616 lr=0.009956 Epoch[004] Batch [0949]/[3760] Speed: 144.345957 samples/sec accuracy=46.314145 loss=2.307883 lr=0.009955 Epoch[004] Batch [0999]/[3760] Speed: 109.904459 samples/sec accuracy=46.289062 loss=2.308318 lr=0.009955 Epoch[004] Batch [1049]/[3760] Speed: 151.169663 samples/sec accuracy=46.334821 loss=2.305417 lr=0.009955 Epoch[004] Batch [1099]/[3760] Speed: 110.296946 samples/sec accuracy=46.308239 loss=2.305622 lr=0.009955 Epoch[004] Batch [1149]/[3760] Speed: 148.731229 samples/sec accuracy=46.309783 loss=2.305967 lr=0.009954 Epoch[004] Batch [1199]/[3760] Speed: 111.252442 samples/sec accuracy=46.282552 loss=2.304892 lr=0.009954 Epoch[004] Batch [1249]/[3760] Speed: 150.742792 samples/sec accuracy=46.302500 loss=2.301474 lr=0.009954 Epoch[004] Batch [1299]/[3760] Speed: 116.879640 samples/sec accuracy=46.227163 loss=2.304873 lr=0.009953 Epoch[004] Batch [1349]/[3760] Speed: 145.808624 samples/sec accuracy=46.228009 loss=2.305536 lr=0.009953 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loss=2.303700 lr=0.009948 Epoch[004] Batch [2349]/[3760] Speed: 143.717230 samples/sec accuracy=46.311170 loss=2.302766 lr=0.009947 Epoch[004] Batch [2399]/[3760] Speed: 121.696330 samples/sec accuracy=46.328125 loss=2.301947 lr=0.009947 Epoch[004] Batch [2449]/[3760] Speed: 142.468423 samples/sec accuracy=46.345026 loss=2.300997 lr=0.009947 Epoch[004] Batch [2499]/[3760] Speed: 116.318061 samples/sec accuracy=46.311250 loss=2.301900 lr=0.009946 Epoch[004] Batch [2549]/[3760] Speed: 143.833244 samples/sec accuracy=46.313725 loss=2.302450 lr=0.009946 Epoch[004] Batch [2599]/[3760] Speed: 118.544142 samples/sec accuracy=46.325721 loss=2.301897 lr=0.009946 Epoch[004] Batch [2649]/[3760] Speed: 137.003203 samples/sec accuracy=46.355542 loss=2.300776 lr=0.009945 Epoch[004] Batch [2699]/[3760] Speed: 124.928582 samples/sec accuracy=46.371528 loss=2.300350 lr=0.009945 Epoch[004] Batch [2749]/[3760] Speed: 126.251119 samples/sec accuracy=46.383523 loss=2.299894 lr=0.009945 Epoch[004] Batch 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accuracy=46.316346 loss=2.302793 lr=0.009942 Epoch[004] Batch [3299]/[3760] Speed: 125.445490 samples/sec accuracy=46.313920 loss=2.302579 lr=0.009941 Epoch[004] Batch [3349]/[3760] Speed: 135.575811 samples/sec accuracy=46.308302 loss=2.302093 lr=0.009941 Epoch[004] Batch [3399]/[3760] Speed: 120.721757 samples/sec accuracy=46.301471 loss=2.302689 lr=0.009941 Epoch[004] Batch [3449]/[3760] Speed: 140.911521 samples/sec accuracy=46.308424 loss=2.302608 lr=0.009940 Epoch[004] Batch [3499]/[3760] Speed: 118.741720 samples/sec accuracy=46.316518 loss=2.302769 lr=0.009940 Epoch[004] Batch [3549]/[3760] Speed: 146.869964 samples/sec accuracy=46.310299 loss=2.303043 lr=0.009940 Epoch[004] Batch [3599]/[3760] Speed: 115.316109 samples/sec accuracy=46.325955 loss=2.302752 lr=0.009939 Epoch[004] Batch [3649]/[3760] Speed: 146.922859 samples/sec accuracy=46.322346 loss=2.303718 lr=0.009939 Epoch[004] Batch [3699]/[3760] Speed: 114.000087 samples/sec accuracy=46.343328 loss=2.302676 lr=0.009939 Epoch[004] Batch [3749]/[3760] Speed: 157.070867 samples/sec accuracy=46.360833 loss=2.301947 lr=0.009938 Batch [0049]/[0303]: acc-top1=47.343750 acc-top5=73.500000 Batch [0099]/[0303]: acc-top1=46.328125 acc-top5=73.062500 Batch [0149]/[0303]: acc-top1=46.947917 acc-top5=73.281250 Batch [0199]/[0303]: acc-top1=46.765625 acc-top5=73.085938 Batch [0249]/[0303]: acc-top1=47.018750 acc-top5=73.300000 Batch [0299]/[0303]: acc-top1=47.234375 acc-top5=73.578125 [Epoch 004] training: accuracy=46.365941 loss=2.301869 [Epoch 004] speed: 128 samples/sec time cost: 2066.942947 [Epoch 004] validation: acc-top1=47.266914 acc-top5=73.581889 loss=2.407879 Epoch[005] Batch [0049]/[3759] Speed: 92.095624 samples/sec accuracy=49.593750 loss=2.169112 lr=0.009938 Epoch[005] Batch [0099]/[3759] Speed: 128.935894 samples/sec accuracy=48.843750 loss=2.177982 lr=0.009938 Epoch[005] Batch [0149]/[3759] Speed: 128.067170 samples/sec accuracy=48.500000 loss=2.206431 lr=0.009937 Epoch[005] Batch [0199]/[3759] 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accuracy=48.490385 loss=2.203912 lr=0.009934 Epoch[005] Batch [0699]/[3759] Speed: 137.078606 samples/sec accuracy=48.363839 loss=2.208360 lr=0.009934 Epoch[005] Batch [0749]/[3759] Speed: 122.493477 samples/sec accuracy=48.322917 loss=2.210943 lr=0.009933 Epoch[005] Batch [0799]/[3759] Speed: 135.199209 samples/sec accuracy=48.197266 loss=2.214293 lr=0.009933 Epoch[005] Batch [0849]/[3759] Speed: 130.239241 samples/sec accuracy=48.211397 loss=2.214381 lr=0.009933 Epoch[005] Batch [0899]/[3759] Speed: 121.601161 samples/sec accuracy=48.152778 loss=2.212449 lr=0.009932 Epoch[005] Batch [0949]/[3759] Speed: 134.134685 samples/sec accuracy=48.175987 loss=2.211832 lr=0.009932 Epoch[005] Batch [0999]/[3759] Speed: 128.591214 samples/sec accuracy=48.198438 loss=2.214689 lr=0.009932 Epoch[005] Batch [1049]/[3759] Speed: 126.059003 samples/sec accuracy=48.209821 loss=2.214078 lr=0.009931 Epoch[005] Batch [1099]/[3759] Speed: 135.931966 samples/sec accuracy=48.268466 loss=2.212639 lr=0.009931 Epoch[005] Batch [1149]/[3759] Speed: 120.599734 samples/sec accuracy=48.218750 loss=2.213624 lr=0.009931 Epoch[005] Batch [1199]/[3759] Speed: 134.068831 samples/sec accuracy=48.160156 loss=2.214601 lr=0.009930 Epoch[005] Batch [1249]/[3759] Speed: 123.830549 samples/sec accuracy=48.170000 loss=2.214902 lr=0.009930 Epoch[005] Batch [1299]/[3759] Speed: 141.668323 samples/sec accuracy=48.204327 loss=2.214077 lr=0.009930 Epoch[005] Batch [1349]/[3759] Speed: 118.351886 samples/sec accuracy=48.164352 loss=2.214775 lr=0.009929 Epoch[005] Batch [1399]/[3759] Speed: 142.351981 samples/sec accuracy=48.136161 loss=2.214833 lr=0.009929 Epoch[005] Batch [1449]/[3759] Speed: 114.844393 samples/sec accuracy=48.133621 loss=2.215775 lr=0.009929 Epoch[005] Batch [1499]/[3759] Speed: 146.453898 samples/sec accuracy=48.084375 loss=2.217454 lr=0.009928 Epoch[005] Batch [1549]/[3759] Speed: 118.478288 samples/sec accuracy=48.103831 loss=2.216173 lr=0.009928 Epoch[005] Batch [1599]/[3759] Speed: 140.152481 samples/sec accuracy=48.107422 loss=2.215799 lr=0.009928 Epoch[005] Batch [1649]/[3759] Speed: 121.020946 samples/sec accuracy=48.104167 loss=2.215489 lr=0.009927 Epoch[005] Batch [1699]/[3759] Speed: 127.570551 samples/sec accuracy=48.127757 loss=2.214781 lr=0.009927 Epoch[005] Batch [1749]/[3759] Speed: 135.854305 samples/sec accuracy=48.077679 loss=2.214976 lr=0.009926 Epoch[005] Batch [1799]/[3759] Speed: 118.979232 samples/sec accuracy=48.079861 loss=2.215011 lr=0.009926 Epoch[005] Batch [1849]/[3759] Speed: 140.133327 samples/sec accuracy=48.088682 loss=2.214975 lr=0.009926 Epoch[005] Batch [1899]/[3759] Speed: 117.284869 samples/sec accuracy=48.080592 loss=2.215884 lr=0.009925 Epoch[005] Batch [1949]/[3759] Speed: 139.935208 samples/sec accuracy=48.057692 loss=2.216046 lr=0.009925 Epoch[005] Batch [1999]/[3759] Speed: 120.149162 samples/sec accuracy=47.995312 loss=2.217702 lr=0.009925 Epoch[005] Batch [2049]/[3759] Speed: 139.748481 samples/sec accuracy=47.984756 loss=2.218483 lr=0.009924 Epoch[005] Batch [2099]/[3759] Speed: 120.919592 samples/sec accuracy=47.976190 loss=2.218680 lr=0.009924 Epoch[005] Batch [2149]/[3759] Speed: 129.547658 samples/sec accuracy=48.005814 loss=2.218638 lr=0.009924 Epoch[005] Batch [2199]/[3759] Speed: 129.716259 samples/sec accuracy=48.023438 loss=2.218528 lr=0.009923 Epoch[005] Batch [2249]/[3759] Speed: 124.622885 samples/sec accuracy=48.006944 loss=2.218379 lr=0.009923 Epoch[005] Batch [2299]/[3759] Speed: 135.546764 samples/sec accuracy=47.996603 loss=2.219275 lr=0.009922 Epoch[005] Batch [2349]/[3759] Speed: 128.964972 samples/sec accuracy=47.966090 loss=2.220038 lr=0.009922 Epoch[005] Batch [2399]/[3759] Speed: 128.217748 samples/sec accuracy=48.002604 loss=2.218858 lr=0.009922 Epoch[005] Batch [2449]/[3759] Speed: 124.262610 samples/sec accuracy=47.997449 loss=2.219568 lr=0.009921 Epoch[005] Batch [2499]/[3759] Speed: 136.701955 samples/sec accuracy=47.981875 loss=2.220631 lr=0.009921 Epoch[005] Batch 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accuracy=47.960938 loss=2.222016 lr=0.009917 Epoch[005] Batch [3049]/[3759] Speed: 134.107891 samples/sec accuracy=47.975922 loss=2.221124 lr=0.009917 Epoch[005] Batch [3099]/[3759] Speed: 123.560996 samples/sec accuracy=47.973286 loss=2.221513 lr=0.009916 Epoch[005] Batch [3149]/[3759] Speed: 126.544722 samples/sec accuracy=47.955853 loss=2.222288 lr=0.009916 Epoch[005] Batch [3199]/[3759] Speed: 136.738977 samples/sec accuracy=47.944824 loss=2.222674 lr=0.009916 Epoch[005] Batch [3249]/[3759] Speed: 124.825762 samples/sec accuracy=47.945192 loss=2.222617 lr=0.009915 Epoch[005] Batch [3299]/[3759] Speed: 135.608578 samples/sec accuracy=47.985322 loss=2.220964 lr=0.009915 Epoch[005] Batch [3349]/[3759] Speed: 124.264214 samples/sec accuracy=47.997201 loss=2.220962 lr=0.009915 Epoch[005] Batch [3399]/[3759] Speed: 128.150050 samples/sec accuracy=48.000000 loss=2.220573 lr=0.009914 Epoch[005] Batch [3449]/[3759] Speed: 131.035323 samples/sec accuracy=48.027174 loss=2.219811 lr=0.009914 Epoch[005] Batch [3499]/[3759] Speed: 126.371383 samples/sec accuracy=48.037500 loss=2.219172 lr=0.009913 Epoch[005] Batch [3549]/[3759] Speed: 135.549042 samples/sec accuracy=48.039173 loss=2.219008 lr=0.009913 Epoch[005] Batch [3599]/[3759] Speed: 125.393456 samples/sec accuracy=48.057292 loss=2.218200 lr=0.009913 Epoch[005] Batch [3649]/[3759] Speed: 134.376673 samples/sec accuracy=48.075342 loss=2.217545 lr=0.009912 Epoch[005] Batch [3699]/[3759] Speed: 119.727605 samples/sec accuracy=48.084037 loss=2.216991 lr=0.009912 Epoch[005] Batch [3749]/[3759] Speed: 157.432032 samples/sec accuracy=48.085833 loss=2.217089 lr=0.009911 Batch [0049]/[0303]: acc-top1=48.562500 acc-top5=73.687500 Batch [0099]/[0303]: acc-top1=47.562500 acc-top5=73.312500 Batch [0149]/[0303]: acc-top1=48.479167 acc-top5=73.572917 Batch [0199]/[0303]: acc-top1=48.382812 acc-top5=73.757812 Batch [0249]/[0303]: acc-top1=48.450000 acc-top5=73.893750 Batch [0299]/[0303]: acc-top1=48.817708 acc-top5=74.041667 [Epoch 005] training: accuracy=48.082519 loss=2.217049 [Epoch 005] speed: 128 samples/sec time cost: 2058.393087 [Epoch 005] validation: acc-top1=48.834571 acc-top5=74.051155 loss=2.325757 Epoch[006] Batch [0049]/[3760] Speed: 94.189295 samples/sec accuracy=51.500000 loss=2.076517 lr=0.009911 Epoch[006] Batch [0099]/[3760] Speed: 144.089324 samples/sec accuracy=50.500000 loss=2.095776 lr=0.009911 Epoch[006] Batch [0149]/[3760] Speed: 113.637231 samples/sec accuracy=50.468750 loss=2.112640 lr=0.009910 Epoch[006] Batch [0199]/[3760] Speed: 138.732668 samples/sec accuracy=49.968750 loss=2.124868 lr=0.009910 Epoch[006] Batch [0249]/[3760] Speed: 120.479707 samples/sec accuracy=49.743750 loss=2.134823 lr=0.009909 Epoch[006] Batch [0299]/[3760] Speed: 148.717164 samples/sec accuracy=49.614583 loss=2.136564 lr=0.009909 Epoch[006] Batch [0349]/[3760] Speed: 112.585482 samples/sec accuracy=49.473214 loss=2.144406 lr=0.009909 Epoch[006] Batch [0399]/[3760] Speed: 140.281428 samples/sec accuracy=49.558594 loss=2.141652 lr=0.009908 Epoch[006] Batch [0449]/[3760] Speed: 121.086809 samples/sec accuracy=49.496528 loss=2.142009 lr=0.009908 Epoch[006] Batch [0499]/[3760] Speed: 141.230670 samples/sec accuracy=49.412500 loss=2.146968 lr=0.009907 Epoch[006] Batch [0549]/[3760] Speed: 115.264160 samples/sec accuracy=49.377841 loss=2.150385 lr=0.009907 Epoch[006] Batch [0599]/[3760] Speed: 134.384143 samples/sec accuracy=49.403646 loss=2.148700 lr=0.009907 Epoch[006] Batch [0649]/[3760] Speed: 122.952255 samples/sec accuracy=49.492788 loss=2.149456 lr=0.009906 Epoch[006] Batch [0699]/[3760] Speed: 140.455196 samples/sec accuracy=49.497768 loss=2.151281 lr=0.009906 Epoch[006] Batch [0749]/[3760] Speed: 119.414330 samples/sec accuracy=49.531250 loss=2.152902 lr=0.009905 Epoch[006] Batch [0799]/[3760] Speed: 137.767427 samples/sec accuracy=49.587891 loss=2.149784 lr=0.009905 Epoch[006] Batch [0849]/[3760] Speed: 119.710245 samples/sec accuracy=49.599265 loss=2.147776 lr=0.009905 Epoch[006] Batch [0899]/[3760] Speed: 135.569456 samples/sec accuracy=49.552083 loss=2.149107 lr=0.009904 Epoch[006] Batch [0949]/[3760] Speed: 122.311165 samples/sec accuracy=49.475329 loss=2.151069 lr=0.009904 Epoch[006] Batch [0999]/[3760] Speed: 129.171689 samples/sec accuracy=49.435938 loss=2.152838 lr=0.009903 Epoch[006] Batch [1049]/[3760] Speed: 127.377801 samples/sec accuracy=49.433036 loss=2.153133 lr=0.009903 Epoch[006] Batch [1099]/[3760] Speed: 131.298749 samples/sec accuracy=49.458807 loss=2.152835 lr=0.009903 Epoch[006] Batch [1149]/[3760] Speed: 132.722534 samples/sec accuracy=49.361413 loss=2.154875 lr=0.009902 Epoch[006] Batch [1199]/[3760] Speed: 124.025942 samples/sec accuracy=49.402344 loss=2.153850 lr=0.009902 Epoch[006] Batch [1249]/[3760] Speed: 130.269387 samples/sec accuracy=49.425000 loss=2.152438 lr=0.009901 Epoch[006] Batch [1299]/[3760] Speed: 129.925742 samples/sec accuracy=49.423077 loss=2.151183 lr=0.009901 Epoch[006] Batch [1349]/[3760] Speed: 130.702914 samples/sec accuracy=49.430556 loss=2.151039 lr=0.009901 Epoch[006] Batch [1399]/[3760] Speed: 121.239973 samples/sec accuracy=49.382812 loss=2.152661 lr=0.009900 Epoch[006] Batch [1449]/[3760] Speed: 140.604416 samples/sec accuracy=49.353448 loss=2.153418 lr=0.009900 Epoch[006] Batch [1499]/[3760] Speed: 122.334134 samples/sec accuracy=49.380208 loss=2.152678 lr=0.009899 Epoch[006] Batch [1549]/[3760] Speed: 134.029125 samples/sec accuracy=49.404234 loss=2.153180 lr=0.009899 Epoch[006] Batch [1599]/[3760] Speed: 120.887984 samples/sec accuracy=49.401367 loss=2.153356 lr=0.009898 Epoch[006] Batch [1649]/[3760] Speed: 136.922996 samples/sec accuracy=49.429924 loss=2.152271 lr=0.009898 Epoch[006] Batch [1699]/[3760] Speed: 114.959494 samples/sec accuracy=49.382353 loss=2.152891 lr=0.009898 Epoch[006] Batch [1749]/[3760] Speed: 151.033392 samples/sec accuracy=49.365179 loss=2.153430 lr=0.009897 Epoch[006] Batch [1799]/[3760] Speed: 113.072389 samples/sec accuracy=49.310764 loss=2.154054 lr=0.009897 Epoch[006] Batch [1849]/[3760] Speed: 143.410871 samples/sec accuracy=49.279561 loss=2.155172 lr=0.009896 Epoch[006] Batch [1899]/[3760] Speed: 119.897802 samples/sec accuracy=49.254112 loss=2.155150 lr=0.009896 Epoch[006] Batch [1949]/[3760] Speed: 137.478851 samples/sec accuracy=49.267628 loss=2.154826 lr=0.009895 Epoch[006] Batch [1999]/[3760] Speed: 129.914487 samples/sec accuracy=49.289062 loss=2.154707 lr=0.009895 Epoch[006] Batch [2049]/[3760] Speed: 126.726529 samples/sec accuracy=49.272104 loss=2.154548 lr=0.009895 Epoch[006] Batch [2099]/[3760] Speed: 129.033339 samples/sec accuracy=49.249256 loss=2.155910 lr=0.009894 Epoch[006] Batch [2149]/[3760] Speed: 129.855319 samples/sec accuracy=49.234012 loss=2.155368 lr=0.009894 Epoch[006] Batch [2199]/[3760] Speed: 128.516700 samples/sec accuracy=49.271307 loss=2.153883 lr=0.009893 Epoch[006] Batch [2249]/[3760] Speed: 134.938033 samples/sec accuracy=49.278472 loss=2.153270 lr=0.009893 Epoch[006] Batch 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accuracy=49.230682 loss=2.155310 lr=0.009889 Epoch[006] Batch [2799]/[3760] Speed: 134.799829 samples/sec accuracy=49.229353 loss=2.154734 lr=0.009888 Epoch[006] Batch [2849]/[3760] Speed: 130.801004 samples/sec accuracy=49.234101 loss=2.155346 lr=0.009888 Epoch[006] Batch [2899]/[3760] Speed: 139.578397 samples/sec accuracy=49.219828 loss=2.156468 lr=0.009887 Epoch[006] Batch [2949]/[3760] Speed: 125.794233 samples/sec accuracy=49.216102 loss=2.156615 lr=0.009887 Epoch[006] Batch [2999]/[3760] Speed: 134.985249 samples/sec accuracy=49.209896 loss=2.157181 lr=0.009886 Epoch[006] Batch [3049]/[3760] Speed: 126.900436 samples/sec accuracy=49.214139 loss=2.156960 lr=0.009886 Epoch[006] Batch [3099]/[3760] Speed: 128.058715 samples/sec accuracy=49.217238 loss=2.156936 lr=0.009885 Epoch[006] Batch [3149]/[3760] Speed: 129.725212 samples/sec accuracy=49.222718 loss=2.156841 lr=0.009885 Epoch[006] Batch [3199]/[3760] Speed: 131.210687 samples/sec accuracy=49.206543 loss=2.157214 lr=0.009885 Epoch[006] Batch [3249]/[3760] Speed: 130.315894 samples/sec accuracy=49.203846 loss=2.157378 lr=0.009884 Epoch[006] Batch [3299]/[3760] Speed: 128.960539 samples/sec accuracy=49.202652 loss=2.157483 lr=0.009884 Epoch[006] Batch [3349]/[3760] Speed: 139.006836 samples/sec accuracy=49.190299 loss=2.157393 lr=0.009883 Epoch[006] Batch [3399]/[3760] Speed: 121.250188 samples/sec accuracy=49.201746 loss=2.156766 lr=0.009883 Epoch[006] Batch [3449]/[3760] Speed: 140.194765 samples/sec accuracy=49.191576 loss=2.156949 lr=0.009882 Epoch[006] Batch [3499]/[3760] Speed: 123.488273 samples/sec accuracy=49.180357 loss=2.157590 lr=0.009882 Epoch[006] Batch [3549]/[3760] Speed: 135.595328 samples/sec accuracy=49.175616 loss=2.158700 lr=0.009881 Epoch[006] Batch [3599]/[3760] Speed: 116.740552 samples/sec accuracy=49.177083 loss=2.158718 lr=0.009881 Epoch[006] Batch [3649]/[3760] Speed: 148.383115 samples/sec accuracy=49.191781 loss=2.158760 lr=0.009881 Epoch[006] Batch [3699]/[3760] Speed: 117.177990 samples/sec accuracy=49.202703 loss=2.158725 lr=0.009880 Epoch[006] Batch [3749]/[3760] Speed: 160.477102 samples/sec accuracy=49.216667 loss=2.157597 lr=0.009880 Batch [0049]/[0303]: acc-top1=50.375000 acc-top5=76.093750 Batch [0099]/[0303]: acc-top1=49.531250 acc-top5=75.421875 Batch [0149]/[0303]: acc-top1=49.958333 acc-top5=75.260417 Batch [0199]/[0303]: acc-top1=50.007813 acc-top5=75.343750 Batch [0249]/[0303]: acc-top1=49.987500 acc-top5=75.406250 Batch [0299]/[0303]: acc-top1=50.177083 acc-top5=75.609375 [Epoch 006] training: accuracy=49.219581 loss=2.157598 [Epoch 006] speed: 129 samples/sec time cost: 2050.549666 [Epoch 006] validation: acc-top1=50.226898 acc-top5=75.593028 loss=2.287718 Epoch[007] Batch [0049]/[3760] Speed: 95.787948 samples/sec accuracy=51.000000 loss=2.071233 lr=0.009879 Epoch[007] Batch [0099]/[3760] Speed: 141.499897 samples/sec accuracy=50.359375 loss=2.107324 lr=0.009879 Epoch[007] Batch [0149]/[3760] Speed: 118.808614 samples/sec accuracy=50.666667 loss=2.098537 lr=0.009878 Epoch[007] Batch [0199]/[3760] Speed: 134.452712 samples/sec accuracy=50.773437 loss=2.091682 lr=0.009878 Epoch[007] Batch [0249]/[3760] Speed: 126.279953 samples/sec accuracy=50.856250 loss=2.081880 lr=0.009877 Epoch[007] Batch [0299]/[3760] Speed: 140.176312 samples/sec accuracy=50.786458 loss=2.081405 lr=0.009877 Epoch[007] Batch [0349]/[3760] Speed: 116.867617 samples/sec accuracy=50.812500 loss=2.084360 lr=0.009876 Epoch[007] Batch [0399]/[3760] Speed: 151.852352 samples/sec accuracy=51.035156 loss=2.072889 lr=0.009876 Epoch[007] Batch [0449]/[3760] Speed: 112.964701 samples/sec accuracy=50.982639 loss=2.072547 lr=0.009875 Epoch[007] Batch [0499]/[3760] Speed: 143.490894 samples/sec accuracy=50.993750 loss=2.068089 lr=0.009875 Epoch[007] Batch [0549]/[3760] Speed: 117.217339 samples/sec accuracy=50.875000 loss=2.070336 lr=0.009874 Epoch[007] Batch [0599]/[3760] Speed: 142.368741 samples/sec accuracy=50.796875 loss=2.075758 lr=0.009874 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loss=2.084731 lr=0.009865 Epoch[007] Batch [1599]/[3760] Speed: 119.311498 samples/sec accuracy=50.638672 loss=2.084922 lr=0.009865 Epoch[007] Batch [1649]/[3760] Speed: 139.430715 samples/sec accuracy=50.561553 loss=2.086893 lr=0.009864 Epoch[007] Batch [1699]/[3760] Speed: 127.722897 samples/sec accuracy=50.511029 loss=2.090068 lr=0.009864 Epoch[007] Batch [1749]/[3760] Speed: 129.252157 samples/sec accuracy=50.542857 loss=2.089913 lr=0.009863 Epoch[007] Batch [1799]/[3760] Speed: 138.923894 samples/sec accuracy=50.541667 loss=2.089231 lr=0.009863 Epoch[007] Batch [1849]/[3760] Speed: 126.491384 samples/sec accuracy=50.517736 loss=2.089837 lr=0.009862 Epoch[007] Batch [1899]/[3760] Speed: 141.269201 samples/sec accuracy=50.504112 loss=2.090337 lr=0.009862 Epoch[007] Batch [1949]/[3760] Speed: 121.907609 samples/sec accuracy=50.480769 loss=2.091586 lr=0.009861 Epoch[007] Batch [1999]/[3760] Speed: 138.411758 samples/sec accuracy=50.467188 loss=2.092126 lr=0.009861 Epoch[007] Batch 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accuracy=50.409375 loss=2.095628 lr=0.009856 Epoch[007] Batch [2549]/[3760] Speed: 140.472174 samples/sec accuracy=50.404412 loss=2.096305 lr=0.009855 Epoch[007] Batch [2599]/[3760] Speed: 123.131860 samples/sec accuracy=50.390024 loss=2.096934 lr=0.009855 Epoch[007] Batch [2649]/[3760] Speed: 136.916620 samples/sec accuracy=50.408608 loss=2.096454 lr=0.009854 Epoch[007] Batch [2699]/[3760] Speed: 121.867564 samples/sec accuracy=50.416667 loss=2.095527 lr=0.009854 Epoch[007] Batch [2749]/[3760] Speed: 133.629200 samples/sec accuracy=50.396591 loss=2.097064 lr=0.009853 Epoch[007] Batch [2799]/[3760] Speed: 135.815467 samples/sec accuracy=50.378906 loss=2.097860 lr=0.009853 Epoch[007] Batch [2849]/[3760] Speed: 132.762758 samples/sec accuracy=50.382675 loss=2.097754 lr=0.009852 Epoch[007] Batch [2899]/[3760] Speed: 135.959091 samples/sec accuracy=50.397629 loss=2.097001 lr=0.009852 Epoch[007] Batch [2949]/[3760] Speed: 121.813307 samples/sec accuracy=50.408898 loss=2.096987 lr=0.009851 Epoch[007] Batch [2999]/[3760] Speed: 137.179105 samples/sec accuracy=50.370833 loss=2.098573 lr=0.009851 Epoch[007] Batch [3049]/[3760] Speed: 128.547044 samples/sec accuracy=50.362193 loss=2.099917 lr=0.009850 Epoch[007] Batch [3099]/[3760] Speed: 126.233833 samples/sec accuracy=50.367440 loss=2.099992 lr=0.009850 Epoch[007] Batch [3149]/[3760] Speed: 134.896355 samples/sec accuracy=50.346726 loss=2.100949 lr=0.009849 Epoch[007] Batch [3199]/[3760] Speed: 129.181981 samples/sec accuracy=50.355469 loss=2.100900 lr=0.009849 Epoch[007] Batch [3249]/[3760] Speed: 129.575293 samples/sec accuracy=50.365385 loss=2.100638 lr=0.009848 Epoch[007] Batch [3299]/[3760] Speed: 133.473994 samples/sec accuracy=50.352746 loss=2.100744 lr=0.009848 Epoch[007] Batch [3349]/[3760] Speed: 123.797147 samples/sec accuracy=50.342817 loss=2.101192 lr=0.009847 Epoch[007] Batch [3399]/[3760] Speed: 144.164177 samples/sec accuracy=50.343290 loss=2.101729 lr=0.009847 Epoch[007] Batch [3449]/[3760] Speed: 118.558382 samples/sec accuracy=50.342391 loss=2.102040 lr=0.009846 Epoch[007] Batch [3499]/[3760] Speed: 138.287570 samples/sec accuracy=50.317857 loss=2.103120 lr=0.009846 Epoch[007] Batch [3549]/[3760] Speed: 122.987515 samples/sec accuracy=50.322183 loss=2.103073 lr=0.009845 Epoch[007] Batch [3599]/[3760] Speed: 137.988114 samples/sec accuracy=50.299045 loss=2.103860 lr=0.009845 Epoch[007] Batch [3649]/[3760] Speed: 129.393498 samples/sec accuracy=50.308647 loss=2.103430 lr=0.009844 Epoch[007] Batch [3699]/[3760] Speed: 133.297891 samples/sec accuracy=50.288851 loss=2.103812 lr=0.009843 Epoch[007] Batch [3749]/[3760] Speed: 142.113696 samples/sec accuracy=50.282500 loss=2.104011 lr=0.009843 Batch [0049]/[0303]: acc-top1=51.218750 acc-top5=75.500000 Batch [0099]/[0303]: acc-top1=50.265625 acc-top5=75.421875 Batch [0149]/[0303]: acc-top1=50.458333 acc-top5=75.468750 Batch [0199]/[0303]: acc-top1=50.406250 acc-top5=75.484375 Batch [0249]/[0303]: acc-top1=50.456250 acc-top5=75.618750 Batch [0299]/[0303]: acc-top1=50.723958 acc-top5=75.901042 [Epoch 007] training: accuracy=50.281333 loss=2.103920 [Epoch 007] speed: 130 samples/sec time cost: 2034.307450 [Epoch 007] validation: acc-top1=50.716790 acc-top5=75.917904 loss=2.260663 Epoch[008] Batch [0049]/[3759] Speed: 95.568312 samples/sec accuracy=51.312500 loss=2.004242 lr=0.009842 Epoch[008] Batch [0099]/[3759] Speed: 125.009357 samples/sec accuracy=51.640625 loss=2.015330 lr=0.009842 Epoch[008] Batch [0149]/[3759] Speed: 135.444950 samples/sec accuracy=51.666667 loss=2.004906 lr=0.009841 Epoch[008] Batch [0199]/[3759] Speed: 132.710412 samples/sec accuracy=51.429688 loss=2.021845 lr=0.009841 Epoch[008] Batch [0249]/[3759] Speed: 131.187201 samples/sec accuracy=51.506250 loss=2.024391 lr=0.009840 Epoch[008] Batch [0299]/[3759] Speed: 134.530135 samples/sec accuracy=51.390625 loss=2.032084 lr=0.009840 Epoch[008] Batch [0349]/[3759] Speed: 125.352006 samples/sec accuracy=51.508929 loss=2.026296 lr=0.009839 Epoch[008] 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samples/sec accuracy=51.408088 loss=2.040021 lr=0.009834 Epoch[008] Batch [0899]/[3759] Speed: 127.896401 samples/sec accuracy=51.458333 loss=2.039755 lr=0.009833 Epoch[008] Batch [0949]/[3759] Speed: 131.222437 samples/sec accuracy=51.465461 loss=2.038825 lr=0.009833 Epoch[008] Batch [0999]/[3759] Speed: 131.228269 samples/sec accuracy=51.484375 loss=2.038772 lr=0.009832 Epoch[008] Batch [1049]/[3759] Speed: 134.787142 samples/sec accuracy=51.436012 loss=2.042076 lr=0.009832 Epoch[008] Batch [1099]/[3759] Speed: 126.240365 samples/sec accuracy=51.441761 loss=2.039968 lr=0.009831 Epoch[008] Batch [1149]/[3759] Speed: 137.464467 samples/sec accuracy=51.425272 loss=2.039831 lr=0.009831 Epoch[008] Batch [1199]/[3759] Speed: 121.436070 samples/sec accuracy=51.415365 loss=2.041392 lr=0.009830 Epoch[008] Batch [1249]/[3759] Speed: 138.749700 samples/sec accuracy=51.417500 loss=2.041765 lr=0.009830 Epoch[008] Batch [1299]/[3759] Speed: 124.870304 samples/sec accuracy=51.396635 loss=2.044539 lr=0.009829 Epoch[008] Batch [1349]/[3759] Speed: 123.486855 samples/sec accuracy=51.387731 loss=2.046101 lr=0.009829 Epoch[008] Batch [1399]/[3759] Speed: 142.222132 samples/sec accuracy=51.433036 loss=2.043683 lr=0.009828 Epoch[008] Batch [1449]/[3759] Speed: 114.658042 samples/sec accuracy=51.492457 loss=2.041287 lr=0.009827 Epoch[008] Batch [1499]/[3759] Speed: 147.341804 samples/sec accuracy=51.471875 loss=2.042139 lr=0.009827 Epoch[008] Batch [1549]/[3759] Speed: 129.386954 samples/sec accuracy=51.489919 loss=2.041440 lr=0.009826 Epoch[008] Batch [1599]/[3759] Speed: 138.137747 samples/sec accuracy=51.462891 loss=2.042366 lr=0.009826 Epoch[008] Batch [1649]/[3759] Speed: 132.436484 samples/sec accuracy=51.429924 loss=2.043745 lr=0.009825 Epoch[008] Batch [1699]/[3759] Speed: 126.818391 samples/sec accuracy=51.415441 loss=2.045322 lr=0.009825 Epoch[008] Batch [1749]/[3759] Speed: 132.929193 samples/sec accuracy=51.391071 loss=2.046222 lr=0.009824 Epoch[008] Batch [1799]/[3759] 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accuracy=51.397222 loss=2.047880 lr=0.009819 Epoch[008] Batch [2299]/[3759] Speed: 126.898893 samples/sec accuracy=51.418478 loss=2.047455 lr=0.009818 Epoch[008] Batch [2349]/[3759] Speed: 134.133022 samples/sec accuracy=51.438165 loss=2.047352 lr=0.009818 Epoch[008] Batch [2399]/[3759] Speed: 133.127857 samples/sec accuracy=51.453776 loss=2.047075 lr=0.009817 Epoch[008] Batch [2449]/[3759] Speed: 129.856764 samples/sec accuracy=51.480867 loss=2.046805 lr=0.009816 Epoch[008] Batch [2499]/[3759] Speed: 128.842397 samples/sec accuracy=51.447500 loss=2.048051 lr=0.009816 Epoch[008] Batch [2549]/[3759] Speed: 126.670850 samples/sec accuracy=51.457108 loss=2.048052 lr=0.009815 Epoch[008] Batch [2599]/[3759] Speed: 138.175484 samples/sec accuracy=51.471755 loss=2.047923 lr=0.009815 Epoch[008] Batch [2649]/[3759] Speed: 121.741810 samples/sec accuracy=51.462264 loss=2.048127 lr=0.009814 Epoch[008] Batch [2699]/[3759] Speed: 143.538504 samples/sec accuracy=51.455440 loss=2.049696 lr=0.009814 Epoch[008] Batch [2749]/[3759] Speed: 122.125709 samples/sec accuracy=51.463636 loss=2.049676 lr=0.009813 Epoch[008] Batch [2799]/[3759] Speed: 142.919744 samples/sec accuracy=51.450893 loss=2.050328 lr=0.009812 Epoch[008] Batch [2849]/[3759] Speed: 124.928279 samples/sec accuracy=51.439693 loss=2.050266 lr=0.009812 Epoch[008] Batch [2899]/[3759] Speed: 131.731088 samples/sec accuracy=51.404095 loss=2.050946 lr=0.009811 Epoch[008] Batch [2949]/[3759] Speed: 121.538961 samples/sec accuracy=51.417373 loss=2.050492 lr=0.009811 Epoch[008] Batch [2999]/[3759] Speed: 135.705138 samples/sec accuracy=51.402083 loss=2.050821 lr=0.009810 Epoch[008] Batch [3049]/[3759] Speed: 138.407423 samples/sec accuracy=51.401639 loss=2.051044 lr=0.009810 Epoch[008] Batch [3099]/[3759] Speed: 120.154867 samples/sec accuracy=51.405242 loss=2.050883 lr=0.009809 Epoch[008] Batch [3149]/[3759] Speed: 150.640680 samples/sec accuracy=51.417659 loss=2.050393 lr=0.009808 Epoch[008] Batch [3199]/[3759] Speed: 118.732320 samples/sec accuracy=51.402344 loss=2.051444 lr=0.009808 Epoch[008] Batch [3249]/[3759] Speed: 139.586250 samples/sec accuracy=51.414423 loss=2.051158 lr=0.009807 Epoch[008] Batch [3299]/[3759] Speed: 122.237730 samples/sec accuracy=51.409564 loss=2.051106 lr=0.009807 Epoch[008] Batch [3349]/[3759] Speed: 149.282473 samples/sec accuracy=51.412780 loss=2.051870 lr=0.009806 Epoch[008] Batch [3399]/[3759] Speed: 114.156743 samples/sec accuracy=51.392923 loss=2.052193 lr=0.009806 Epoch[008] Batch [3449]/[3759] Speed: 145.485994 samples/sec accuracy=51.371377 loss=2.053085 lr=0.009805 Epoch[008] Batch [3499]/[3759] Speed: 122.109257 samples/sec accuracy=51.363393 loss=2.053507 lr=0.009804 Epoch[008] Batch [3549]/[3759] Speed: 138.448998 samples/sec accuracy=51.393046 loss=2.052506 lr=0.009804 Epoch[008] Batch [3599]/[3759] Speed: 133.943130 samples/sec accuracy=51.377170 loss=2.053804 lr=0.009803 Epoch[008] Batch [3649]/[3759] Speed: 123.156036 samples/sec accuracy=51.369863 loss=2.053819 lr=0.009803 Epoch[008] Batch [3699]/[3759] Speed: 137.185561 samples/sec accuracy=51.354730 loss=2.054127 lr=0.009802 Epoch[008] Batch [3749]/[3759] Speed: 148.223971 samples/sec accuracy=51.364167 loss=2.054021 lr=0.009802 Batch [0049]/[0303]: acc-top1=51.375000 acc-top5=76.125000 Batch [0099]/[0303]: acc-top1=51.203125 acc-top5=75.796875 Batch [0149]/[0303]: acc-top1=51.260417 acc-top5=76.031250 Batch [0199]/[0303]: acc-top1=51.015625 acc-top5=75.968750 Batch [0249]/[0303]: acc-top1=51.256250 acc-top5=76.018750 Batch [0299]/[0303]: acc-top1=51.468750 acc-top5=76.203125 [Epoch 008] training: accuracy=51.356744 loss=2.054673 [Epoch 008] speed: 130 samples/sec time cost: 2029.837876 [Epoch 008] validation: acc-top1=51.474835 acc-top5=76.155116 loss=2.296686 Epoch[009] Batch [0049]/[3760] Speed: 94.625991 samples/sec accuracy=51.000000 loss=2.009728 lr=0.009801 Epoch[009] Batch [0099]/[3760] Speed: 142.090594 samples/sec accuracy=51.281250 loss=2.012111 lr=0.009800 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loss=2.000357 lr=0.009789 Epoch[009] Batch [1099]/[3760] Speed: 125.518764 samples/sec accuracy=52.475852 loss=1.998614 lr=0.009788 Epoch[009] Batch [1149]/[3760] Speed: 139.896429 samples/sec accuracy=52.557065 loss=1.995013 lr=0.009788 Epoch[009] Batch [1199]/[3760] Speed: 121.395766 samples/sec accuracy=52.451823 loss=1.997239 lr=0.009787 Epoch[009] Batch [1249]/[3760] Speed: 136.012184 samples/sec accuracy=52.437500 loss=1.997731 lr=0.009787 Epoch[009] Batch [1299]/[3760] Speed: 123.559297 samples/sec accuracy=52.456731 loss=1.996939 lr=0.009786 Epoch[009] Batch [1349]/[3760] Speed: 134.227155 samples/sec accuracy=52.521991 loss=1.995636 lr=0.009785 Epoch[009] Batch [1399]/[3760] Speed: 129.946108 samples/sec accuracy=52.534598 loss=1.996433 lr=0.009785 Epoch[009] Batch [1449]/[3760] Speed: 132.083659 samples/sec accuracy=52.491379 loss=1.998499 lr=0.009784 Epoch[009] Batch [1499]/[3760] Speed: 139.786847 samples/sec accuracy=52.476042 loss=1.999417 lr=0.009784 Epoch[009] Batch 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accuracy=52.321875 loss=2.004163 lr=0.009777 Epoch[009] Batch [2049]/[3760] Speed: 129.556724 samples/sec accuracy=52.299543 loss=2.005164 lr=0.009777 Epoch[009] Batch [2099]/[3760] Speed: 134.009219 samples/sec accuracy=52.302827 loss=2.004577 lr=0.009776 Epoch[009] Batch [2149]/[3760] Speed: 126.699089 samples/sec accuracy=52.345930 loss=2.003027 lr=0.009776 Epoch[009] Batch [2199]/[3760] Speed: 139.097681 samples/sec accuracy=52.341619 loss=2.002671 lr=0.009775 Epoch[009] Batch [2249]/[3760] Speed: 121.086485 samples/sec accuracy=52.325000 loss=2.003070 lr=0.009774 Epoch[009] Batch [2299]/[3760] Speed: 135.858648 samples/sec accuracy=52.288043 loss=2.005664 lr=0.009774 Epoch[009] Batch [2349]/[3760] Speed: 131.821310 samples/sec accuracy=52.222739 loss=2.006906 lr=0.009773 Epoch[009] Batch [2399]/[3760] Speed: 131.175316 samples/sec accuracy=52.214193 loss=2.007016 lr=0.009772 Epoch[009] Batch [2449]/[3760] Speed: 126.995200 samples/sec accuracy=52.201531 loss=2.008461 lr=0.009772 Epoch[009] Batch [2499]/[3760] Speed: 125.662466 samples/sec accuracy=52.183125 loss=2.009527 lr=0.009771 Epoch[009] Batch [2549]/[3760] Speed: 150.938186 samples/sec accuracy=52.201593 loss=2.008372 lr=0.009771 Epoch[009] Batch [2599]/[3760] Speed: 117.842528 samples/sec accuracy=52.224760 loss=2.006914 lr=0.009770 Epoch[009] Batch [2649]/[3760] Speed: 142.794205 samples/sec accuracy=52.218160 loss=2.007008 lr=0.009769 Epoch[009] Batch [2699]/[3760] Speed: 122.479662 samples/sec accuracy=52.244792 loss=2.005854 lr=0.009769 Epoch[009] Batch [2749]/[3760] Speed: 135.238045 samples/sec accuracy=52.209659 loss=2.007388 lr=0.009768 Epoch[009] Batch [2799]/[3760] Speed: 130.751791 samples/sec accuracy=52.185268 loss=2.007196 lr=0.009767 Epoch[009] Batch [2849]/[3760] Speed: 131.180634 samples/sec accuracy=52.196820 loss=2.006826 lr=0.009767 Epoch[009] Batch [2899]/[3760] Speed: 129.750235 samples/sec accuracy=52.214978 loss=2.006355 lr=0.009766 Epoch[009] Batch [2949]/[3760] Speed: 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loss=2.007982 lr=0.009760 Epoch[009] Batch [3449]/[3760] Speed: 132.894430 samples/sec accuracy=52.230525 loss=2.008354 lr=0.009759 Epoch[009] Batch [3499]/[3760] Speed: 126.394655 samples/sec accuracy=52.231696 loss=2.008901 lr=0.009759 Epoch[009] Batch [3549]/[3760] Speed: 134.005794 samples/sec accuracy=52.217870 loss=2.009375 lr=0.009758 Epoch[009] Batch [3599]/[3760] Speed: 124.202320 samples/sec accuracy=52.235243 loss=2.009221 lr=0.009757 Epoch[009] Batch [3649]/[3760] Speed: 133.198257 samples/sec accuracy=52.229880 loss=2.009203 lr=0.009757 Epoch[009] Batch [3699]/[3760] Speed: 128.102107 samples/sec accuracy=52.240709 loss=2.009377 lr=0.009756 Epoch[009] Batch [3749]/[3760] Speed: 159.782448 samples/sec accuracy=52.255833 loss=2.009591 lr=0.009755 Batch [0049]/[0303]: acc-top1=51.062500 acc-top5=76.312500 Batch [0099]/[0303]: acc-top1=50.890625 acc-top5=75.953125 Batch [0149]/[0303]: acc-top1=51.354167 acc-top5=76.229167 Batch [0199]/[0303]: acc-top1=51.179688 acc-top5=76.125000 Batch [0249]/[0303]: acc-top1=51.293750 acc-top5=76.337500 Batch [0299]/[0303]: acc-top1=51.515625 acc-top5=76.604167 [Epoch 009] training: accuracy=52.251496 loss=2.009745 [Epoch 009] speed: 130 samples/sec time cost: 2030.689044 [Epoch 009] validation: acc-top1=51.562500 acc-top5=76.624381 loss=2.273628 Epoch[010] Batch [0049]/[3760] Speed: 94.219500 samples/sec accuracy=52.375000 loss=1.982356 lr=0.009755 Epoch[010] Batch [0099]/[3760] Speed: 153.348725 samples/sec accuracy=53.078125 loss=1.963945 lr=0.009754 Epoch[010] Batch [0149]/[3760] Speed: 111.205916 samples/sec accuracy=53.104167 loss=1.964148 lr=0.009753 Epoch[010] Batch [0199]/[3760] Speed: 154.455270 samples/sec accuracy=53.257812 loss=1.957738 lr=0.009753 Epoch[010] Batch [0249]/[3760] Speed: 115.157949 samples/sec accuracy=53.275000 loss=1.958442 lr=0.009752 Epoch[010] Batch [0299]/[3760] Speed: 142.743692 samples/sec accuracy=53.416667 loss=1.950056 lr=0.009751 Epoch[010] Batch [0349]/[3760] Speed: 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loss=1.959039 lr=0.009745 Epoch[010] Batch [0849]/[3760] Speed: 143.123093 samples/sec accuracy=53.044118 loss=1.958398 lr=0.009744 Epoch[010] Batch [0899]/[3760] Speed: 116.967021 samples/sec accuracy=53.053819 loss=1.958928 lr=0.009743 Epoch[010] Batch [0949]/[3760] Speed: 152.717156 samples/sec accuracy=52.988487 loss=1.962486 lr=0.009743 Epoch[010] Batch [0999]/[3760] Speed: 117.731771 samples/sec accuracy=53.006250 loss=1.961292 lr=0.009742 Epoch[010] Batch [1049]/[3760] Speed: 146.546732 samples/sec accuracy=52.989583 loss=1.960651 lr=0.009741 Epoch[010] Batch [1099]/[3760] Speed: 116.806335 samples/sec accuracy=53.015625 loss=1.959291 lr=0.009741 Epoch[010] Batch [1149]/[3760] Speed: 141.678785 samples/sec accuracy=53.002717 loss=1.959368 lr=0.009740 Epoch[010] Batch [1199]/[3760] Speed: 123.944563 samples/sec accuracy=52.986979 loss=1.957851 lr=0.009739 Epoch[010] Batch [1249]/[3760] Speed: 132.269921 samples/sec accuracy=52.988750 loss=1.957519 lr=0.009739 Epoch[010] Batch [1299]/[3760] Speed: 137.139136 samples/sec accuracy=52.972356 loss=1.958219 lr=0.009738 Epoch[010] Batch [1349]/[3760] Speed: 126.667170 samples/sec accuracy=52.973380 loss=1.957408 lr=0.009737 Epoch[010] Batch [1399]/[3760] Speed: 138.319648 samples/sec accuracy=53.003348 loss=1.958430 lr=0.009737 Epoch[010] Batch [1449]/[3760] Speed: 126.631559 samples/sec accuracy=52.947198 loss=1.961124 lr=0.009736 Epoch[010] Batch [1499]/[3760] Speed: 131.687970 samples/sec accuracy=52.957292 loss=1.962454 lr=0.009735 Epoch[010] Batch [1549]/[3760] Speed: 131.969093 samples/sec accuracy=52.978831 loss=1.963031 lr=0.009735 Epoch[010] Batch [1599]/[3760] Speed: 126.289385 samples/sec accuracy=52.965820 loss=1.963432 lr=0.009734 Epoch[010] Batch [1649]/[3760] Speed: 128.792431 samples/sec accuracy=52.961174 loss=1.962225 lr=0.009733 Epoch[010] Batch [1699]/[3760] Speed: 130.168317 samples/sec accuracy=52.953125 loss=1.962925 lr=0.009733 Epoch[010] Batch [1749]/[3760] Speed: 141.891371 samples/sec accuracy=52.929464 loss=1.963604 lr=0.009732 Epoch[010] Batch [1799]/[3760] Speed: 119.964819 samples/sec accuracy=52.926215 loss=1.963692 lr=0.009731 Epoch[010] Batch [1849]/[3760] Speed: 132.414357 samples/sec accuracy=52.932432 loss=1.964781 lr=0.009731 Epoch[010] Batch [1899]/[3760] Speed: 127.792266 samples/sec accuracy=52.949836 loss=1.963733 lr=0.009730 Epoch[010] Batch [1949]/[3760] Speed: 132.227504 samples/sec accuracy=52.961538 loss=1.963041 lr=0.009729 Epoch[010] Batch [1999]/[3760] Speed: 133.352640 samples/sec accuracy=52.962500 loss=1.963014 lr=0.009729 Epoch[010] Batch [2049]/[3760] Speed: 126.580743 samples/sec accuracy=52.952744 loss=1.962933 lr=0.009728 Epoch[010] Batch [2099]/[3760] Speed: 148.833481 samples/sec accuracy=52.938244 loss=1.964147 lr=0.009727 Epoch[010] Batch [2149]/[3760] Speed: 123.569604 samples/sec accuracy=52.935320 loss=1.964397 lr=0.009727 Epoch[010] Batch [2199]/[3760] Speed: 137.119792 samples/sec accuracy=52.902699 loss=1.965622 lr=0.009726 Epoch[010] Batch [2249]/[3760] Speed: 122.421449 samples/sec accuracy=52.895139 loss=1.965540 lr=0.009725 Epoch[010] Batch [2299]/[3760] Speed: 143.515697 samples/sec accuracy=52.947690 loss=1.964288 lr=0.009725 Epoch[010] Batch [2349]/[3760] Speed: 121.079707 samples/sec accuracy=52.906915 loss=1.966087 lr=0.009724 Epoch[010] Batch [2399]/[3760] Speed: 135.973272 samples/sec accuracy=52.856771 loss=1.967743 lr=0.009723 Epoch[010] Batch [2449]/[3760] Speed: 128.400982 samples/sec accuracy=52.857143 loss=1.968357 lr=0.009723 Epoch[010] Batch [2499]/[3760] Speed: 135.815486 samples/sec accuracy=52.851250 loss=1.968954 lr=0.009722 Epoch[010] Batch [2549]/[3760] Speed: 126.554539 samples/sec accuracy=52.843750 loss=1.968676 lr=0.009721 Epoch[010] Batch [2599]/[3760] Speed: 136.093817 samples/sec accuracy=52.837139 loss=1.969859 lr=0.009721 Epoch[010] Batch [2649]/[3760] Speed: 119.462896 samples/sec accuracy=52.830778 loss=1.970354 lr=0.009720 Epoch[010] Batch [2699]/[3760] Speed: 144.360650 samples/sec accuracy=52.802083 loss=1.971930 lr=0.009719 Epoch[010] Batch [2749]/[3760] Speed: 117.604589 samples/sec accuracy=52.827273 loss=1.971333 lr=0.009718 Epoch[010] Batch [2799]/[3760] Speed: 144.376562 samples/sec accuracy=52.853795 loss=1.970868 lr=0.009718 Epoch[010] Batch [2849]/[3760] Speed: 116.942649 samples/sec accuracy=52.830592 loss=1.971107 lr=0.009717 Epoch[010] Batch [2899]/[3760] Speed: 146.513865 samples/sec accuracy=52.807651 loss=1.972131 lr=0.009716 Epoch[010] Batch [2949]/[3760] Speed: 112.110790 samples/sec accuracy=52.796081 loss=1.972515 lr=0.009716 Epoch[010] Batch [2999]/[3760] Speed: 153.872667 samples/sec accuracy=52.781771 loss=1.973044 lr=0.009715 Epoch[010] Batch [3049]/[3760] Speed: 122.101499 samples/sec accuracy=52.788934 loss=1.972678 lr=0.009714 Epoch[010] Batch [3099]/[3760] Speed: 137.439777 samples/sec accuracy=52.753024 loss=1.974128 lr=0.009714 Epoch[010] Batch [3149]/[3760] Speed: 119.414940 samples/sec accuracy=52.749008 loss=1.974719 lr=0.009713 Epoch[010] Batch [3199]/[3760] Speed: 140.253706 samples/sec accuracy=52.751465 loss=1.975324 lr=0.009712 Epoch[010] Batch [3249]/[3760] Speed: 124.295361 samples/sec accuracy=52.741827 loss=1.975413 lr=0.009711 Epoch[010] Batch [3299]/[3760] Speed: 140.113295 samples/sec accuracy=52.744792 loss=1.975555 lr=0.009711 Epoch[010] Batch [3349]/[3760] Speed: 127.866358 samples/sec accuracy=52.763060 loss=1.975000 lr=0.009710 Epoch[010] Batch [3399]/[3760] Speed: 130.164993 samples/sec accuracy=52.756434 loss=1.974896 lr=0.009709 Epoch[010] Batch [3449]/[3760] Speed: 129.149662 samples/sec accuracy=52.748641 loss=1.975590 lr=0.009709 Epoch[010] Batch [3499]/[3760] Speed: 134.259661 samples/sec accuracy=52.755357 loss=1.975516 lr=0.009708 Epoch[010] Batch [3549]/[3760] Speed: 131.044831 samples/sec accuracy=52.747799 loss=1.975921 lr=0.009707 Epoch[010] Batch [3599]/[3760] Speed: 130.741677 samples/sec accuracy=52.763889 loss=1.975554 lr=0.009707 Epoch[010] Batch [3649]/[3760] Speed: 130.535125 samples/sec accuracy=52.768408 loss=1.975218 lr=0.009706 Epoch[010] Batch [3699]/[3760] Speed: 138.948847 samples/sec accuracy=52.765203 loss=1.975490 lr=0.009705 Epoch[010] Batch [3749]/[3760] Speed: 142.841387 samples/sec accuracy=52.768750 loss=1.975608 lr=0.009704 Batch [0049]/[0303]: acc-top1=52.343750 acc-top5=76.968750 Batch [0099]/[0303]: acc-top1=51.750000 acc-top5=77.046875 Batch [0149]/[0303]: acc-top1=52.020833 acc-top5=76.791667 Batch [0199]/[0303]: acc-top1=51.992188 acc-top5=76.765625 Batch [0249]/[0303]: acc-top1=51.943750 acc-top5=76.787500 Batch [0299]/[0303]: acc-top1=52.083333 acc-top5=77.000000 [Epoch 010] training: accuracy=52.760140 loss=1.975690 [Epoch 010] speed: 130 samples/sec time cost: 2029.519374 [Epoch 010] validation: acc-top1=52.062706 acc-top5=77.000825 loss=2.180128 Epoch[011] Batch [0049]/[3759] Speed: 92.041530 samples/sec accuracy=52.906250 loss=1.943311 lr=0.009704 Epoch[011] Batch [0099]/[3759] Speed: 154.262067 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accuracy=53.766667 loss=1.932138 lr=0.009683 Epoch[011] Batch [1549]/[3759] Speed: 125.985072 samples/sec accuracy=53.799395 loss=1.931336 lr=0.009682 Epoch[011] Batch [1599]/[3759] Speed: 133.260023 samples/sec accuracy=53.801758 loss=1.932229 lr=0.009681 Epoch[011] Batch [1649]/[3759] Speed: 130.168284 samples/sec accuracy=53.809659 loss=1.932511 lr=0.009680 Epoch[011] Batch [1699]/[3759] Speed: 130.305477 samples/sec accuracy=53.800551 loss=1.933489 lr=0.009680 Epoch[011] Batch [1749]/[3759] Speed: 128.379033 samples/sec accuracy=53.758929 loss=1.935045 lr=0.009679 Epoch[011] Batch [1799]/[3759] Speed: 124.534025 samples/sec accuracy=53.769965 loss=1.935229 lr=0.009678 Epoch[011] Batch [1849]/[3759] Speed: 148.020998 samples/sec accuracy=53.742399 loss=1.935757 lr=0.009678 Epoch[011] Batch [1899]/[3759] Speed: 117.358183 samples/sec accuracy=53.745066 loss=1.935621 lr=0.009677 Epoch[011] Batch [1949]/[3759] Speed: 138.815497 samples/sec accuracy=53.705929 loss=1.936971 lr=0.009676 Epoch[011] Batch [1999]/[3759] Speed: 132.497895 samples/sec accuracy=53.696094 loss=1.937174 lr=0.009675 Epoch[011] Batch [2049]/[3759] Speed: 124.815094 samples/sec accuracy=53.692073 loss=1.936275 lr=0.009675 Epoch[011] Batch [2099]/[3759] Speed: 135.270215 samples/sec accuracy=53.691964 loss=1.936022 lr=0.009674 Epoch[011] Batch [2149]/[3759] Speed: 123.631816 samples/sec accuracy=53.674419 loss=1.936175 lr=0.009673 Epoch[011] Batch [2199]/[3759] Speed: 137.222375 samples/sec accuracy=53.661932 loss=1.937200 lr=0.009672 Epoch[011] Batch [2249]/[3759] Speed: 123.152714 samples/sec accuracy=53.618750 loss=1.937865 lr=0.009672 Epoch[011] Batch [2299]/[3759] Speed: 146.343017 samples/sec accuracy=53.623641 loss=1.937377 lr=0.009671 Epoch[011] Batch [2349]/[3759] Speed: 127.693378 samples/sec accuracy=53.634309 loss=1.937227 lr=0.009670 Epoch[011] Batch [2399]/[3759] Speed: 135.251757 samples/sec accuracy=53.638672 loss=1.937416 lr=0.009669 Epoch[011] Batch [2449]/[3759] Speed: 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loss=1.939755 lr=0.009662 Epoch[011] Batch [2949]/[3759] Speed: 133.145820 samples/sec accuracy=53.611758 loss=1.940168 lr=0.009661 Epoch[011] Batch [2999]/[3759] Speed: 130.537758 samples/sec accuracy=53.624479 loss=1.940288 lr=0.009660 Epoch[011] Batch [3049]/[3759] Speed: 134.867593 samples/sec accuracy=53.631148 loss=1.939901 lr=0.009660 Epoch[011] Batch [3099]/[3759] Speed: 129.403288 samples/sec accuracy=53.618448 loss=1.940703 lr=0.009659 Epoch[011] Batch [3149]/[3759] Speed: 129.996758 samples/sec accuracy=53.599702 loss=1.940899 lr=0.009658 Epoch[011] Batch [3199]/[3759] Speed: 129.785619 samples/sec accuracy=53.595215 loss=1.941331 lr=0.009657 Epoch[011] Batch [3249]/[3759] Speed: 127.607197 samples/sec accuracy=53.560096 loss=1.942609 lr=0.009657 Epoch[011] Batch [3299]/[3759] Speed: 138.345337 samples/sec accuracy=53.548769 loss=1.942852 lr=0.009656 Epoch[011] Batch [3349]/[3759] Speed: 130.383936 samples/sec accuracy=53.544776 loss=1.942683 lr=0.009655 Epoch[011] Batch [3399]/[3759] Speed: 140.602241 samples/sec accuracy=53.543658 loss=1.942105 lr=0.009654 Epoch[011] Batch [3449]/[3759] Speed: 121.397911 samples/sec accuracy=53.531250 loss=1.942947 lr=0.009654 Epoch[011] Batch [3499]/[3759] Speed: 136.109339 samples/sec accuracy=53.553571 loss=1.942023 lr=0.009653 Epoch[011] Batch [3549]/[3759] Speed: 121.320287 samples/sec accuracy=53.568662 loss=1.941445 lr=0.009652 Epoch[011] Batch [3599]/[3759] Speed: 139.568601 samples/sec accuracy=53.568576 loss=1.941301 lr=0.009651 Epoch[011] Batch [3649]/[3759] Speed: 121.864002 samples/sec accuracy=53.556935 loss=1.941638 lr=0.009650 Epoch[011] Batch [3699]/[3759] Speed: 147.846690 samples/sec accuracy=53.539696 loss=1.942407 lr=0.009650 Epoch[011] Batch [3749]/[3759] Speed: 143.652875 samples/sec accuracy=53.554167 loss=1.941730 lr=0.009649 Batch [0049]/[0303]: acc-top1=53.562500 acc-top5=78.187500 Batch [0099]/[0303]: acc-top1=52.500000 acc-top5=77.640625 Batch [0149]/[0303]: acc-top1=52.729167 acc-top5=77.489583 Batch [0199]/[0303]: acc-top1=52.476562 acc-top5=77.578125 Batch [0249]/[0303]: acc-top1=52.512500 acc-top5=77.575000 Batch [0299]/[0303]: acc-top1=52.796875 acc-top5=77.781250 [Epoch 011] training: accuracy=53.554386 loss=1.941698 [Epoch 011] speed: 130 samples/sec time cost: 2028.867249 [Epoch 011] validation: acc-top1=52.810437 acc-top5=77.779497 loss=2.139015 Epoch[012] Batch [0049]/[3760] Speed: 95.648140 samples/sec accuracy=53.906250 loss=1.897854 lr=0.009648 Epoch[012] Batch [0099]/[3760] Speed: 144.653751 samples/sec accuracy=54.656250 loss=1.881973 lr=0.009647 Epoch[012] Batch [0149]/[3760] Speed: 112.572456 samples/sec accuracy=54.989583 loss=1.883332 lr=0.009646 Epoch[012] Batch [0199]/[3760] Speed: 135.027967 samples/sec accuracy=54.726562 loss=1.884293 lr=0.009646 Epoch[012] Batch [0249]/[3760] Speed: 128.097961 samples/sec accuracy=54.631250 loss=1.891129 lr=0.009645 Epoch[012] Batch [0299]/[3760] Speed: 135.556970 samples/sec accuracy=54.786458 loss=1.891340 lr=0.009644 Epoch[012] Batch [0349]/[3760] Speed: 135.175863 samples/sec accuracy=54.803571 loss=1.886880 lr=0.009643 Epoch[012] Batch [0399]/[3760] Speed: 137.200303 samples/sec accuracy=54.718750 loss=1.890097 lr=0.009643 Epoch[012] Batch [0449]/[3760] Speed: 123.705747 samples/sec accuracy=54.777778 loss=1.884127 lr=0.009642 Epoch[012] Batch [0499]/[3760] Speed: 128.687077 samples/sec accuracy=54.640625 loss=1.888885 lr=0.009641 Epoch[012] Batch [0549]/[3760] Speed: 133.821148 samples/sec accuracy=54.551136 loss=1.891922 lr=0.009640 Epoch[012] Batch [0599]/[3760] Speed: 134.176703 samples/sec accuracy=54.507812 loss=1.891743 lr=0.009639 Epoch[012] Batch [0649]/[3760] Speed: 125.521666 samples/sec accuracy=54.432692 loss=1.892707 lr=0.009639 Epoch[012] Batch [0699]/[3760] Speed: 137.518079 samples/sec accuracy=54.450893 loss=1.891553 lr=0.009638 Epoch[012] Batch [0749]/[3760] Speed: 126.593815 samples/sec accuracy=54.372917 loss=1.894723 lr=0.009637 Epoch[012] Batch 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accuracy=54.273750 loss=1.901446 lr=0.009629 Epoch[012] Batch [1299]/[3760] Speed: 134.837421 samples/sec accuracy=54.262019 loss=1.901677 lr=0.009628 Epoch[012] Batch [1349]/[3760] Speed: 129.609380 samples/sec accuracy=54.260417 loss=1.901211 lr=0.009628 Epoch[012] Batch [1399]/[3760] Speed: 127.723150 samples/sec accuracy=54.189732 loss=1.903903 lr=0.009627 Epoch[012] Batch [1449]/[3760] Speed: 140.806675 samples/sec accuracy=54.163793 loss=1.903284 lr=0.009626 Epoch[012] Batch [1499]/[3760] Speed: 121.106498 samples/sec accuracy=54.190625 loss=1.903502 lr=0.009625 Epoch[012] Batch [1549]/[3760] Speed: 133.098822 samples/sec accuracy=54.196573 loss=1.902885 lr=0.009625 Epoch[012] Batch [1599]/[3760] Speed: 129.041783 samples/sec accuracy=54.198242 loss=1.902885 lr=0.009624 Epoch[012] Batch [1649]/[3760] Speed: 141.848277 samples/sec accuracy=54.204545 loss=1.902703 lr=0.009623 Epoch[012] Batch [1699]/[3760] Speed: 122.710393 samples/sec accuracy=54.216912 loss=1.904210 lr=0.009622 Epoch[012] Batch [1749]/[3760] Speed: 128.778044 samples/sec accuracy=54.213393 loss=1.903272 lr=0.009621 Epoch[012] Batch [1799]/[3760] Speed: 132.011870 samples/sec accuracy=54.223090 loss=1.902808 lr=0.009621 Epoch[012] Batch [1849]/[3760] Speed: 131.845039 samples/sec accuracy=54.226351 loss=1.903627 lr=0.009620 Epoch[012] Batch [1899]/[3760] Speed: 130.721462 samples/sec accuracy=54.232730 loss=1.904065 lr=0.009619 Epoch[012] Batch [1949]/[3760] Speed: 130.619191 samples/sec accuracy=54.233974 loss=1.905153 lr=0.009618 Epoch[012] Batch [1999]/[3760] Speed: 123.549836 samples/sec accuracy=54.214844 loss=1.906708 lr=0.009617 Epoch[012] Batch [2049]/[3760] Speed: 129.894981 samples/sec accuracy=54.205793 loss=1.907571 lr=0.009617 Epoch[012] Batch [2099]/[3760] Speed: 134.686700 samples/sec accuracy=54.191220 loss=1.907354 lr=0.009616 Epoch[012] Batch [2149]/[3760] Speed: 131.246943 samples/sec accuracy=54.171512 loss=1.908130 lr=0.009615 Epoch[012] Batch [2199]/[3760] Speed: 127.545124 samples/sec accuracy=54.148438 loss=1.908997 lr=0.009614 Epoch[012] Batch [2249]/[3760] Speed: 142.475400 samples/sec accuracy=54.131944 loss=1.909188 lr=0.009613 Epoch[012] Batch [2299]/[3760] Speed: 123.998494 samples/sec accuracy=54.135190 loss=1.909504 lr=0.009613 Epoch[012] Batch [2349]/[3760] Speed: 138.309843 samples/sec accuracy=54.107048 loss=1.910816 lr=0.009612 Epoch[012] Batch [2399]/[3760] Speed: 121.094509 samples/sec accuracy=54.152344 loss=1.909104 lr=0.009611 Epoch[012] Batch [2449]/[3760] Speed: 135.722656 samples/sec accuracy=54.151786 loss=1.909697 lr=0.009610 Epoch[012] Batch [2499]/[3760] Speed: 125.074501 samples/sec accuracy=54.128125 loss=1.911103 lr=0.009609 Epoch[012] Batch [2549]/[3760] Speed: 142.157792 samples/sec accuracy=54.137255 loss=1.910906 lr=0.009608 Epoch[012] Batch [2599]/[3760] Speed: 119.263396 samples/sec accuracy=54.129808 loss=1.912040 lr=0.009608 Epoch[012] Batch [2649]/[3760] Speed: 145.487165 samples/sec accuracy=54.125000 loss=1.911421 lr=0.009607 Epoch[012] Batch [2699]/[3760] Speed: 116.142690 samples/sec accuracy=54.142361 loss=1.910942 lr=0.009606 Epoch[012] Batch [2749]/[3760] Speed: 143.346768 samples/sec accuracy=54.134659 loss=1.911196 lr=0.009605 Epoch[012] Batch [2799]/[3760] Speed: 124.753834 samples/sec accuracy=54.122768 loss=1.911559 lr=0.009604 Epoch[012] Batch [2849]/[3760] Speed: 137.796223 samples/sec accuracy=54.108553 loss=1.912237 lr=0.009604 Epoch[012] Batch [2899]/[3760] Speed: 133.693791 samples/sec accuracy=54.111530 loss=1.911711 lr=0.009603 Epoch[012] Batch [2949]/[3760] Speed: 123.461324 samples/sec accuracy=54.097458 loss=1.911604 lr=0.009602 Epoch[012] Batch [2999]/[3760] Speed: 134.173523 samples/sec accuracy=54.072917 loss=1.912357 lr=0.009601 Epoch[012] Batch [3049]/[3760] Speed: 125.645179 samples/sec accuracy=54.063012 loss=1.913037 lr=0.009600 Epoch[012] Batch [3099]/[3760] Speed: 140.995851 samples/sec accuracy=54.060484 loss=1.913289 lr=0.009600 Epoch[012] Batch 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accuracy=54.067274 loss=1.914380 lr=0.009591 Epoch[012] Batch [3649]/[3760] Speed: 139.667212 samples/sec accuracy=54.062928 loss=1.914331 lr=0.009590 Epoch[012] Batch [3699]/[3760] Speed: 123.950072 samples/sec accuracy=54.074747 loss=1.914765 lr=0.009590 Epoch[012] Batch [3749]/[3760] Speed: 154.372161 samples/sec accuracy=54.068333 loss=1.914968 lr=0.009589 Batch [0049]/[0303]: acc-top1=53.125000 acc-top5=77.312500 Batch [0099]/[0303]: acc-top1=52.828125 acc-top5=77.109375 Batch [0149]/[0303]: acc-top1=53.145833 acc-top5=77.385417 Batch [0199]/[0303]: acc-top1=52.976562 acc-top5=77.421875 Batch [0249]/[0303]: acc-top1=52.943750 acc-top5=77.543750 Batch [0299]/[0303]: acc-top1=53.156250 acc-top5=77.812500 [Epoch 012] training: accuracy=54.068733 loss=1.914899 [Epoch 012] speed: 130 samples/sec time cost: 2030.359703 [Epoch 012] validation: acc-top1=53.166254 acc-top5=77.815594 loss=2.120169 Epoch[013] Batch [0049]/[3760] Speed: 94.464063 samples/sec accuracy=56.343750 loss=1.850343 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accuracy=55.184375 loss=1.867856 lr=0.009572 Epoch[013] Batch [1049]/[3760] Speed: 131.736539 samples/sec accuracy=55.180060 loss=1.869655 lr=0.009571 Epoch[013] Batch [1099]/[3760] Speed: 137.035307 samples/sec accuracy=55.123580 loss=1.870441 lr=0.009570 Epoch[013] Batch [1149]/[3760] Speed: 122.278527 samples/sec accuracy=55.099185 loss=1.871886 lr=0.009569 Epoch[013] Batch [1199]/[3760] Speed: 135.509558 samples/sec accuracy=55.093750 loss=1.872427 lr=0.009568 Epoch[013] Batch [1249]/[3760] Speed: 124.362294 samples/sec accuracy=55.088750 loss=1.872663 lr=0.009568 Epoch[013] Batch [1299]/[3760] Speed: 147.813347 samples/sec accuracy=55.070913 loss=1.873208 lr=0.009567 Epoch[013] Batch [1349]/[3760] Speed: 124.189362 samples/sec accuracy=55.130787 loss=1.871238 lr=0.009566 Epoch[013] Batch [1399]/[3760] Speed: 133.409477 samples/sec accuracy=55.092634 loss=1.873126 lr=0.009565 Epoch[013] Batch [1449]/[3760] Speed: 126.753486 samples/sec accuracy=55.064655 loss=1.872766 lr=0.009564 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loss=1.877221 lr=0.009548 Epoch[013] Batch [2449]/[3760] Speed: 130.683833 samples/sec accuracy=54.946429 loss=1.876965 lr=0.009547 Epoch[013] Batch [2499]/[3760] Speed: 132.427044 samples/sec accuracy=54.940000 loss=1.878179 lr=0.009546 Epoch[013] Batch [2549]/[3760] Speed: 129.211358 samples/sec accuracy=54.939951 loss=1.877765 lr=0.009545 Epoch[013] Batch [2599]/[3760] Speed: 129.711145 samples/sec accuracy=54.922476 loss=1.878876 lr=0.009544 Epoch[013] Batch [2649]/[3760] Speed: 132.255172 samples/sec accuracy=54.873821 loss=1.880476 lr=0.009544 Epoch[013] Batch [2699]/[3760] Speed: 128.007243 samples/sec accuracy=54.865741 loss=1.880634 lr=0.009543 Epoch[013] Batch [2749]/[3760] Speed: 132.455643 samples/sec accuracy=54.843750 loss=1.881699 lr=0.009542 Epoch[013] Batch [2799]/[3760] Speed: 138.222726 samples/sec accuracy=54.856585 loss=1.880688 lr=0.009541 Epoch[013] Batch [2849]/[3760] Speed: 117.531871 samples/sec accuracy=54.861842 loss=1.880579 lr=0.009540 Epoch[013] Batch 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accuracy=54.762593 loss=1.886068 lr=0.009531 Epoch[013] Batch [3399]/[3760] Speed: 132.691828 samples/sec accuracy=54.752298 loss=1.886592 lr=0.009530 Epoch[013] Batch [3449]/[3760] Speed: 132.144014 samples/sec accuracy=54.723732 loss=1.887195 lr=0.009529 Epoch[013] Batch [3499]/[3760] Speed: 132.752226 samples/sec accuracy=54.743750 loss=1.886799 lr=0.009529 Epoch[013] Batch [3549]/[3760] Speed: 131.043220 samples/sec accuracy=54.751320 loss=1.886284 lr=0.009528 Epoch[013] Batch [3599]/[3760] Speed: 128.868904 samples/sec accuracy=54.769965 loss=1.886071 lr=0.009527 Epoch[013] Batch [3649]/[3760] Speed: 135.197082 samples/sec accuracy=54.758134 loss=1.886094 lr=0.009526 Epoch[013] Batch [3699]/[3760] Speed: 124.297708 samples/sec accuracy=54.764780 loss=1.885838 lr=0.009525 Epoch[013] Batch [3749]/[3760] Speed: 152.607362 samples/sec accuracy=54.770417 loss=1.885509 lr=0.009524 Batch [0049]/[0303]: acc-top1=53.281250 acc-top5=78.312500 Batch [0099]/[0303]: acc-top1=52.906250 acc-top5=78.031250 Batch [0149]/[0303]: acc-top1=52.968750 acc-top5=77.781250 Batch [0199]/[0303]: acc-top1=53.101562 acc-top5=77.914062 Batch [0249]/[0303]: acc-top1=53.312500 acc-top5=78.012500 Batch [0299]/[0303]: acc-top1=53.625000 acc-top5=78.333333 [Epoch 013] training: accuracy=54.770196 loss=1.885607 [Epoch 013] speed: 130 samples/sec time cost: 2030.219656 [Epoch 013] validation: acc-top1=53.625206 acc-top5=78.290017 loss=2.122182 Epoch[014] Batch [0049]/[3759] Speed: 95.553459 samples/sec accuracy=55.968750 loss=1.800642 lr=0.009523 Epoch[014] Batch [0099]/[3759] Speed: 147.139974 samples/sec accuracy=56.281250 loss=1.785803 lr=0.009522 Epoch[014] Batch [0149]/[3759] Speed: 115.677998 samples/sec accuracy=55.687500 loss=1.818112 lr=0.009521 Epoch[014] Batch [0199]/[3759] Speed: 148.263132 samples/sec accuracy=55.531250 loss=1.822421 lr=0.009520 Epoch[014] Batch [0249]/[3759] Speed: 122.722614 samples/sec accuracy=55.656250 loss=1.817558 lr=0.009520 Epoch[014] Batch 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accuracy=55.766667 loss=1.828340 lr=0.009511 Epoch[014] Batch [0799]/[3759] Speed: 130.452902 samples/sec accuracy=55.708984 loss=1.830103 lr=0.009510 Epoch[014] Batch [0849]/[3759] Speed: 131.856803 samples/sec accuracy=55.608456 loss=1.834290 lr=0.009509 Epoch[014] Batch [0899]/[3759] Speed: 126.571336 samples/sec accuracy=55.604167 loss=1.835793 lr=0.009508 Epoch[014] Batch [0949]/[3759] Speed: 136.842992 samples/sec accuracy=55.506579 loss=1.838435 lr=0.009507 Epoch[014] Batch [0999]/[3759] Speed: 122.226643 samples/sec accuracy=55.473438 loss=1.839087 lr=0.009506 Epoch[014] Batch [1049]/[3759] Speed: 145.689528 samples/sec accuracy=55.412202 loss=1.843077 lr=0.009505 Epoch[014] Batch [1099]/[3759] Speed: 119.142075 samples/sec accuracy=55.396307 loss=1.843831 lr=0.009504 Epoch[014] Batch [1149]/[3759] Speed: 145.547127 samples/sec accuracy=55.455163 loss=1.842433 lr=0.009503 Epoch[014] Batch [1199]/[3759] Speed: 117.174401 samples/sec accuracy=55.450521 loss=1.844091 lr=0.009502 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Epoch[014] Batch [3599]/[3759] Speed: 128.704646 samples/sec accuracy=55.177517 loss=1.859091 lr=0.009458 Epoch[014] Batch [3649]/[3759] Speed: 137.129095 samples/sec accuracy=55.185360 loss=1.858873 lr=0.009457 Epoch[014] Batch [3699]/[3759] Speed: 127.911788 samples/sec accuracy=55.160895 loss=1.859938 lr=0.009456 Epoch[014] Batch [3749]/[3759] Speed: 153.854028 samples/sec accuracy=55.141250 loss=1.860661 lr=0.009455 Batch [0049]/[0303]: acc-top1=54.468750 acc-top5=77.406250 Batch [0099]/[0303]: acc-top1=53.125000 acc-top5=77.359375 Batch [0149]/[0303]: acc-top1=53.281250 acc-top5=77.031250 Batch [0199]/[0303]: acc-top1=52.781250 acc-top5=77.023438 Batch [0249]/[0303]: acc-top1=52.831250 acc-top5=76.931250 Batch [0299]/[0303]: acc-top1=53.020833 acc-top5=77.223958 [Epoch 014] training: accuracy=55.149724 loss=1.860471 [Epoch 014] speed: 130 samples/sec time cost: 2031.195338 [Epoch 014] validation: acc-top1=53.021865 acc-top5=77.232880 loss=2.176928 Epoch[015] Batch [0049]/[3760] 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accuracy=56.021875 loss=1.808731 lr=0.009445 Epoch[015] Batch [0549]/[3760] Speed: 121.006583 samples/sec accuracy=55.994318 loss=1.808500 lr=0.009444 Epoch[015] Batch [0599]/[3760] Speed: 146.214709 samples/sec accuracy=55.968750 loss=1.811127 lr=0.009443 Epoch[015] Batch [0649]/[3760] Speed: 118.085124 samples/sec accuracy=56.038462 loss=1.809289 lr=0.009442 Epoch[015] Batch [0699]/[3760] Speed: 141.478517 samples/sec accuracy=56.075893 loss=1.806278 lr=0.009442 Epoch[015] Batch [0749]/[3760] Speed: 121.933994 samples/sec accuracy=56.152083 loss=1.804138 lr=0.009441 Epoch[015] Batch [0799]/[3760] Speed: 142.453260 samples/sec accuracy=56.130859 loss=1.803162 lr=0.009440 Epoch[015] Batch [0849]/[3760] Speed: 126.752288 samples/sec accuracy=56.150735 loss=1.802037 lr=0.009439 Epoch[015] Batch [0899]/[3760] Speed: 134.391519 samples/sec accuracy=56.225694 loss=1.798930 lr=0.009438 Epoch[015] Batch [0949]/[3760] Speed: 124.994646 samples/sec accuracy=56.248355 loss=1.798014 lr=0.009437 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loss=1.815667 lr=0.009418 Epoch[015] Batch [1949]/[3760] Speed: 132.990402 samples/sec accuracy=56.049679 loss=1.814792 lr=0.009417 Epoch[015] Batch [1999]/[3760] Speed: 131.071013 samples/sec accuracy=56.044531 loss=1.815664 lr=0.009416 Epoch[015] Batch [2049]/[3760] Speed: 125.048870 samples/sec accuracy=56.023628 loss=1.817084 lr=0.009415 Epoch[015] Batch [2099]/[3760] Speed: 139.212367 samples/sec accuracy=55.984375 loss=1.818191 lr=0.009414 Epoch[015] Batch [2149]/[3760] Speed: 123.581539 samples/sec accuracy=55.999273 loss=1.818983 lr=0.009413 Epoch[015] Batch [2199]/[3760] Speed: 137.983528 samples/sec accuracy=55.993608 loss=1.820427 lr=0.009412 Epoch[015] Batch [2249]/[3760] Speed: 123.392201 samples/sec accuracy=56.008333 loss=1.820463 lr=0.009411 Epoch[015] Batch [2299]/[3760] Speed: 125.783835 samples/sec accuracy=56.002038 loss=1.820978 lr=0.009410 Epoch[015] Batch [2349]/[3760] Speed: 138.488153 samples/sec accuracy=55.980718 loss=1.821205 lr=0.009409 Epoch[015] Batch 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accuracy=55.848684 loss=1.827499 lr=0.009400 Epoch[015] Batch [2899]/[3760] Speed: 135.527732 samples/sec accuracy=55.878772 loss=1.826312 lr=0.009399 Epoch[015] Batch [2949]/[3760] Speed: 127.799844 samples/sec accuracy=55.875530 loss=1.827341 lr=0.009398 Epoch[015] Batch [2999]/[3760] Speed: 127.034678 samples/sec accuracy=55.866667 loss=1.828018 lr=0.009397 Epoch[015] Batch [3049]/[3760] Speed: 140.732912 samples/sec accuracy=55.874488 loss=1.827905 lr=0.009396 Epoch[015] Batch [3099]/[3760] Speed: 124.545073 samples/sec accuracy=55.849294 loss=1.828554 lr=0.009395 Epoch[015] Batch [3149]/[3760] Speed: 134.498646 samples/sec accuracy=55.846726 loss=1.828994 lr=0.009394 Epoch[015] Batch [3199]/[3760] Speed: 128.268590 samples/sec accuracy=55.858398 loss=1.829000 lr=0.009393 Epoch[015] Batch [3249]/[3760] Speed: 135.233550 samples/sec accuracy=55.869231 loss=1.829160 lr=0.009392 Epoch[015] Batch [3299]/[3760] Speed: 130.254130 samples/sec accuracy=55.874053 loss=1.829010 lr=0.009391 Epoch[015] Batch [3349]/[3760] Speed: 130.176755 samples/sec accuracy=55.850280 loss=1.830179 lr=0.009390 Epoch[015] Batch [3399]/[3760] Speed: 130.914247 samples/sec accuracy=55.835478 loss=1.830871 lr=0.009389 Epoch[015] Batch [3449]/[3760] Speed: 129.554957 samples/sec accuracy=55.821558 loss=1.831297 lr=0.009388 Epoch[015] Batch [3499]/[3760] Speed: 128.935153 samples/sec accuracy=55.792411 loss=1.832348 lr=0.009387 Epoch[015] Batch [3549]/[3760] Speed: 131.242147 samples/sec accuracy=55.769806 loss=1.833509 lr=0.009386 Epoch[015] Batch [3599]/[3760] Speed: 130.206761 samples/sec accuracy=55.754774 loss=1.833730 lr=0.009385 Epoch[015] Batch [3649]/[3760] Speed: 135.011740 samples/sec accuracy=55.755565 loss=1.833922 lr=0.009384 Epoch[015] Batch [3699]/[3760] Speed: 133.123958 samples/sec accuracy=55.736909 loss=1.834590 lr=0.009383 Epoch[015] Batch [3749]/[3760] Speed: 144.444310 samples/sec accuracy=55.729167 loss=1.834627 lr=0.009382 Batch [0049]/[0303]: acc-top1=53.781250 acc-top5=77.500000 Batch [0099]/[0303]: acc-top1=52.968750 acc-top5=77.234375 Batch [0149]/[0303]: acc-top1=53.291667 acc-top5=77.239583 Batch [0199]/[0303]: acc-top1=53.132813 acc-top5=77.273438 Batch [0249]/[0303]: acc-top1=53.131250 acc-top5=77.362500 Batch [0299]/[0303]: acc-top1=53.286458 acc-top5=77.666667 [Epoch 015] training: accuracy=55.733461 loss=1.834492 [Epoch 015] speed: 130 samples/sec time cost: 2030.019062 [Epoch 015] validation: acc-top1=53.310644 acc-top5=77.681518 loss=2.191399 Epoch[016] Batch [0049]/[3760] Speed: 94.362997 samples/sec accuracy=56.656250 loss=1.793321 lr=0.009380 Epoch[016] Batch [0099]/[3760] Speed: 151.851564 samples/sec accuracy=56.968750 loss=1.781076 lr=0.009379 Epoch[016] Batch [0149]/[3760] Speed: 116.159075 samples/sec accuracy=56.927083 loss=1.791486 lr=0.009378 Epoch[016] Batch [0199]/[3760] Speed: 135.904269 samples/sec accuracy=56.750000 loss=1.797692 lr=0.009377 Epoch[016] Batch [0249]/[3760] Speed: 122.092647 samples/sec accuracy=56.475000 loss=1.804022 lr=0.009376 Epoch[016] Batch [0299]/[3760] Speed: 139.403815 samples/sec accuracy=56.442708 loss=1.804762 lr=0.009375 Epoch[016] Batch [0349]/[3760] Speed: 121.835422 samples/sec accuracy=56.553571 loss=1.798063 lr=0.009374 Epoch[016] Batch [0399]/[3760] Speed: 143.565760 samples/sec accuracy=56.753906 loss=1.791576 lr=0.009373 Epoch[016] Batch [0449]/[3760] Speed: 121.746440 samples/sec accuracy=57.024306 loss=1.776016 lr=0.009372 Epoch[016] Batch [0499]/[3760] Speed: 144.506081 samples/sec accuracy=57.068750 loss=1.773953 lr=0.009371 Epoch[016] Batch [0549]/[3760] Speed: 115.199145 samples/sec accuracy=57.144886 loss=1.770669 lr=0.009370 Epoch[016] Batch [0599]/[3760] Speed: 150.205872 samples/sec accuracy=57.041667 loss=1.774146 lr=0.009369 Epoch[016] Batch [0649]/[3760] Speed: 120.265379 samples/sec accuracy=57.007212 loss=1.774754 lr=0.009368 Epoch[016] Batch [0699]/[3760] Speed: 142.577862 samples/sec accuracy=56.986607 loss=1.776768 lr=0.009367 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accuracy=56.315505 loss=1.807136 lr=0.009328 Epoch[016] Batch [2649]/[3760] Speed: 135.982342 samples/sec accuracy=56.340802 loss=1.806644 lr=0.009327 Epoch[016] Batch [2699]/[3760] Speed: 136.895268 samples/sec accuracy=56.338542 loss=1.807546 lr=0.009326 Epoch[016] Batch [2749]/[3760] Speed: 122.751905 samples/sec accuracy=56.319318 loss=1.808214 lr=0.009325 Epoch[016] Batch [2799]/[3760] Speed: 132.305638 samples/sec accuracy=56.289621 loss=1.808640 lr=0.009324 Epoch[016] Batch [2849]/[3760] Speed: 133.435437 samples/sec accuracy=56.283443 loss=1.808870 lr=0.009323 Epoch[016] Batch [2899]/[3760] Speed: 124.105222 samples/sec accuracy=56.280172 loss=1.808865 lr=0.009322 Epoch[016] Batch [2949]/[3760] Speed: 133.048726 samples/sec accuracy=56.255826 loss=1.810135 lr=0.009321 Epoch[016] Batch [2999]/[3760] Speed: 132.225324 samples/sec accuracy=56.238021 loss=1.811169 lr=0.009320 Epoch[016] Batch [3049]/[3760] Speed: 131.287786 samples/sec accuracy=56.256148 loss=1.810218 lr=0.009319 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133.661006 samples/sec accuracy=56.156690 loss=1.812960 lr=0.009308 Epoch[016] Batch [3599]/[3760] Speed: 129.013522 samples/sec accuracy=56.128038 loss=1.813483 lr=0.009307 Epoch[016] Batch [3649]/[3760] Speed: 134.539951 samples/sec accuracy=56.145976 loss=1.812858 lr=0.009306 Epoch[016] Batch [3699]/[3760] Speed: 125.591212 samples/sec accuracy=56.147804 loss=1.812273 lr=0.009305 Epoch[016] Batch [3749]/[3760] Speed: 154.996056 samples/sec accuracy=56.134583 loss=1.812650 lr=0.009304 Batch [0049]/[0303]: acc-top1=54.031250 acc-top5=77.937500 Batch [0099]/[0303]: acc-top1=53.234375 acc-top5=77.890625 Batch [0149]/[0303]: acc-top1=53.781250 acc-top5=77.864583 Batch [0199]/[0303]: acc-top1=53.601562 acc-top5=77.796875 Batch [0249]/[0303]: acc-top1=53.531250 acc-top5=77.793750 Batch [0299]/[0303]: acc-top1=53.875000 acc-top5=78.005208 [Epoch 016] training: accuracy=56.131566 loss=1.812601 [Epoch 016] speed: 130 samples/sec time cost: 2029.564872 [Epoch 016] validation: acc-top1=53.903672 acc-top5=78.001238 loss=2.171744 Epoch[017] Batch [0049]/[3759] Speed: 95.519842 samples/sec accuracy=56.937500 loss=1.749460 lr=0.009302 Epoch[017] Batch [0099]/[3759] Speed: 127.501176 samples/sec accuracy=56.687500 loss=1.762134 lr=0.009301 Epoch[017] Batch [0149]/[3759] Speed: 130.315313 samples/sec accuracy=56.968750 loss=1.760459 lr=0.009300 Epoch[017] Batch [0199]/[3759] Speed: 129.222894 samples/sec accuracy=56.882812 loss=1.767295 lr=0.009299 Epoch[017] Batch [0249]/[3759] Speed: 135.943432 samples/sec accuracy=57.068750 loss=1.760192 lr=0.009298 Epoch[017] Batch [0299]/[3759] Speed: 129.815194 samples/sec accuracy=56.895833 loss=1.768634 lr=0.009297 Epoch[017] Batch [0349]/[3759] Speed: 131.332013 samples/sec accuracy=57.000000 loss=1.767996 lr=0.009296 Epoch[017] Batch [0399]/[3759] Speed: 134.102598 samples/sec accuracy=57.078125 loss=1.767909 lr=0.009295 Epoch[017] Batch [0449]/[3759] Speed: 128.656962 samples/sec accuracy=57.034722 loss=1.764356 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accuracy=56.948661 loss=1.773949 lr=0.009273 Epoch[017] Batch [1449]/[3759] Speed: 119.193564 samples/sec accuracy=56.976293 loss=1.772375 lr=0.009272 Epoch[017] Batch [1499]/[3759] Speed: 143.595352 samples/sec accuracy=56.990625 loss=1.772345 lr=0.009271 Epoch[017] Batch [1549]/[3759] Speed: 128.394313 samples/sec accuracy=57.001008 loss=1.772093 lr=0.009270 Epoch[017] Batch [1599]/[3759] Speed: 134.445483 samples/sec accuracy=56.999023 loss=1.773916 lr=0.009269 Epoch[017] Batch [1649]/[3759] Speed: 128.211180 samples/sec accuracy=56.987689 loss=1.774078 lr=0.009268 Epoch[017] Batch [1699]/[3759] Speed: 127.370229 samples/sec accuracy=56.978860 loss=1.775199 lr=0.009267 Epoch[017] Batch [1749]/[3759] Speed: 137.026578 samples/sec accuracy=56.941964 loss=1.776616 lr=0.009266 Epoch[017] Batch [1799]/[3759] Speed: 122.683998 samples/sec accuracy=56.959201 loss=1.775691 lr=0.009265 Epoch[017] Batch [1849]/[3759] Speed: 141.617391 samples/sec accuracy=56.924831 loss=1.776073 lr=0.009264 Epoch[017] Batch [1899]/[3759] Speed: 125.173766 samples/sec accuracy=56.907895 loss=1.776195 lr=0.009263 Epoch[017] Batch [1949]/[3759] Speed: 137.471218 samples/sec accuracy=56.850160 loss=1.778790 lr=0.009261 Epoch[017] Batch [1999]/[3759] Speed: 127.260653 samples/sec accuracy=56.872656 loss=1.779276 lr=0.009260 Epoch[017] Batch [2049]/[3759] Speed: 129.931191 samples/sec accuracy=56.836128 loss=1.781073 lr=0.009259 Epoch[017] Batch [2099]/[3759] Speed: 126.777385 samples/sec accuracy=56.875744 loss=1.780658 lr=0.009258 Epoch[017] Batch [2149]/[3759] Speed: 131.739024 samples/sec accuracy=56.884448 loss=1.780241 lr=0.009257 Epoch[017] Batch [2199]/[3759] Speed: 130.371683 samples/sec accuracy=56.833807 loss=1.781104 lr=0.009256 Epoch[017] Batch [2249]/[3759] Speed: 130.419296 samples/sec accuracy=56.860417 loss=1.780112 lr=0.009255 Epoch[017] Batch [2299]/[3759] Speed: 133.258933 samples/sec accuracy=56.834918 loss=1.780960 lr=0.009254 Epoch[017] Batch [2349]/[3759] Speed: 126.037660 samples/sec accuracy=56.823138 loss=1.781585 lr=0.009253 Epoch[017] Batch [2399]/[3759] Speed: 136.103679 samples/sec accuracy=56.814453 loss=1.781626 lr=0.009252 Epoch[017] Batch [2449]/[3759] Speed: 125.397672 samples/sec accuracy=56.802296 loss=1.782813 lr=0.009250 Epoch[017] Batch [2499]/[3759] Speed: 129.219957 samples/sec accuracy=56.797500 loss=1.783250 lr=0.009249 Epoch[017] Batch [2549]/[3759] Speed: 133.400109 samples/sec accuracy=56.767157 loss=1.783917 lr=0.009248 Epoch[017] Batch [2599]/[3759] Speed: 127.068331 samples/sec accuracy=56.762019 loss=1.783765 lr=0.009247 Epoch[017] Batch [2649]/[3759] Speed: 134.593008 samples/sec accuracy=56.748231 loss=1.784779 lr=0.009246 Epoch[017] Batch [2699]/[3759] Speed: 124.128335 samples/sec accuracy=56.768519 loss=1.784050 lr=0.009245 Epoch[017] Batch [2749]/[3759] Speed: 135.683202 samples/sec accuracy=56.711364 loss=1.785522 lr=0.009244 Epoch[017] Batch [2799]/[3759] Speed: 128.459254 samples/sec accuracy=56.699219 loss=1.786471 lr=0.009243 Epoch[017] Batch [2849]/[3759] Speed: 145.947552 samples/sec accuracy=56.670504 loss=1.787252 lr=0.009242 Epoch[017] Batch [2899]/[3759] Speed: 119.196928 samples/sec accuracy=56.661638 loss=1.787564 lr=0.009241 Epoch[017] Batch [2949]/[3759] Speed: 140.654599 samples/sec accuracy=56.635064 loss=1.789121 lr=0.009239 Epoch[017] Batch [2999]/[3759] Speed: 122.071156 samples/sec accuracy=56.611458 loss=1.789286 lr=0.009238 Epoch[017] Batch [3049]/[3759] Speed: 136.075416 samples/sec accuracy=56.619365 loss=1.789355 lr=0.009237 Epoch[017] Batch [3099]/[3759] Speed: 141.071238 samples/sec accuracy=56.622480 loss=1.790472 lr=0.009236 Epoch[017] Batch [3149]/[3759] Speed: 113.900285 samples/sec accuracy=56.632440 loss=1.790790 lr=0.009235 Epoch[017] Batch [3199]/[3759] Speed: 155.866362 samples/sec accuracy=56.642090 loss=1.790877 lr=0.009234 Epoch[017] Batch [3249]/[3759] Speed: 119.656372 samples/sec accuracy=56.621635 loss=1.791761 lr=0.009233 Epoch[017] Batch [3299]/[3759] Speed: 138.527682 samples/sec accuracy=56.603693 loss=1.792334 lr=0.009232 Epoch[017] Batch [3349]/[3759] Speed: 128.917264 samples/sec accuracy=56.611474 loss=1.792135 lr=0.009231 Epoch[017] Batch [3399]/[3759] Speed: 131.532357 samples/sec accuracy=56.627298 loss=1.792438 lr=0.009229 Epoch[017] Batch [3449]/[3759] Speed: 132.800187 samples/sec accuracy=56.616395 loss=1.792581 lr=0.009228 Epoch[017] Batch [3499]/[3759] Speed: 131.619848 samples/sec accuracy=56.603571 loss=1.793179 lr=0.009227 Epoch[017] Batch [3549]/[3759] Speed: 130.774642 samples/sec accuracy=56.594630 loss=1.793789 lr=0.009226 Epoch[017] Batch [3599]/[3759] Speed: 119.900262 samples/sec accuracy=56.590712 loss=1.794412 lr=0.009225 Epoch[017] Batch [3649]/[3759] Speed: 145.885295 samples/sec accuracy=56.583904 loss=1.794435 lr=0.009224 Epoch[017] Batch [3699]/[3759] Speed: 118.828688 samples/sec accuracy=56.590372 loss=1.794721 lr=0.009223 Epoch[017] Batch [3749]/[3759] Speed: 165.664990 samples/sec accuracy=56.597500 loss=1.794223 lr=0.009222 Batch [0049]/[0303]: acc-top1=54.218750 acc-top5=78.281250 Batch [0099]/[0303]: acc-top1=53.296875 acc-top5=78.343750 Batch [0149]/[0303]: acc-top1=53.635417 acc-top5=78.229167 Batch [0199]/[0303]: acc-top1=53.703125 acc-top5=78.351562 Batch [0249]/[0303]: acc-top1=53.787500 acc-top5=78.293750 Batch [0299]/[0303]: acc-top1=54.125000 acc-top5=78.468750 [Epoch 017] training: accuracy=56.599162 loss=1.794260 [Epoch 017] speed: 130 samples/sec time cost: 2026.929570 [Epoch 017] validation: acc-top1=54.140883 acc-top5=78.475660 loss=2.087273 Epoch[018] Batch [0049]/[3760] Speed: 94.799229 samples/sec accuracy=56.218750 loss=1.749959 lr=0.009220 Epoch[018] Batch [0099]/[3760] Speed: 137.171595 samples/sec accuracy=57.140625 loss=1.750459 lr=0.009219 Epoch[018] Batch [0149]/[3760] Speed: 117.975392 samples/sec accuracy=57.656250 loss=1.743576 lr=0.009218 Epoch[018] Batch [0199]/[3760] Speed: 150.970602 samples/sec accuracy=57.554688 loss=1.748729 lr=0.009217 Epoch[018] Batch [0249]/[3760] Speed: 117.915665 samples/sec accuracy=57.631250 loss=1.741103 lr=0.009216 Epoch[018] Batch [0299]/[3760] Speed: 145.423678 samples/sec accuracy=57.661458 loss=1.746625 lr=0.009215 Epoch[018] Batch [0349]/[3760] Speed: 118.023803 samples/sec accuracy=57.808036 loss=1.746411 lr=0.009214 Epoch[018] Batch [0399]/[3760] Speed: 135.497075 samples/sec accuracy=57.695312 loss=1.747751 lr=0.009212 Epoch[018] Batch [0449]/[3760] Speed: 128.711898 samples/sec accuracy=57.666667 loss=1.746195 lr=0.009211 Epoch[018] Batch [0499]/[3760] Speed: 135.981009 samples/sec accuracy=57.575000 loss=1.751103 lr=0.009210 Epoch[018] Batch [0549]/[3760] Speed: 133.142702 samples/sec accuracy=57.576705 loss=1.750744 lr=0.009209 Epoch[018] Batch [0599]/[3760] Speed: 131.395937 samples/sec accuracy=57.572917 loss=1.751527 lr=0.009208 Epoch[018] Batch [0649]/[3760] Speed: 134.120664 samples/sec accuracy=57.550481 loss=1.755234 lr=0.009207 Epoch[018] Batch [0699]/[3760] 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accuracy=57.792120 loss=1.744629 lr=0.009195 Epoch[018] Batch [1199]/[3760] Speed: 115.852249 samples/sec accuracy=57.765625 loss=1.745042 lr=0.009194 Epoch[018] Batch [1249]/[3760] Speed: 145.200614 samples/sec accuracy=57.693750 loss=1.748490 lr=0.009193 Epoch[018] Batch [1299]/[3760] Speed: 121.825000 samples/sec accuracy=57.668269 loss=1.748964 lr=0.009192 Epoch[018] Batch [1349]/[3760] Speed: 143.596665 samples/sec accuracy=57.681713 loss=1.748104 lr=0.009191 Epoch[018] Batch [1399]/[3760] Speed: 121.114132 samples/sec accuracy=57.665179 loss=1.748395 lr=0.009190 Epoch[018] Batch [1449]/[3760] Speed: 143.603918 samples/sec accuracy=57.627155 loss=1.750206 lr=0.009189 Epoch[018] Batch [1499]/[3760] Speed: 126.842230 samples/sec accuracy=57.558333 loss=1.752045 lr=0.009187 Epoch[018] Batch [1549]/[3760] Speed: 134.209383 samples/sec accuracy=57.557460 loss=1.751797 lr=0.009186 Epoch[018] Batch [1599]/[3760] Speed: 134.740179 samples/sec accuracy=57.553711 loss=1.752213 lr=0.009185 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accuracy=57.004018 loss=1.775259 lr=0.009141 Epoch[018] Batch [3549]/[3760] Speed: 132.343848 samples/sec accuracy=57.002201 loss=1.775584 lr=0.009140 Epoch[018] Batch [3599]/[3760] Speed: 133.135487 samples/sec accuracy=56.997830 loss=1.775851 lr=0.009139 Epoch[018] Batch [3649]/[3760] Speed: 126.825435 samples/sec accuracy=56.982449 loss=1.776693 lr=0.009138 Epoch[018] Batch [3699]/[3760] Speed: 137.749674 samples/sec accuracy=56.983953 loss=1.776335 lr=0.009137 Epoch[018] Batch [3749]/[3760] Speed: 146.880685 samples/sec accuracy=56.964167 loss=1.777156 lr=0.009135 Batch [0049]/[0303]: acc-top1=54.281250 acc-top5=78.750000 Batch [0099]/[0303]: acc-top1=53.437500 acc-top5=78.515625 Batch [0149]/[0303]: acc-top1=53.697917 acc-top5=78.541667 Batch [0199]/[0303]: acc-top1=53.718750 acc-top5=78.398438 Batch [0249]/[0303]: acc-top1=53.843750 acc-top5=78.356250 Batch [0299]/[0303]: acc-top1=53.984375 acc-top5=78.500000 [Epoch 018] training: accuracy=56.966838 loss=1.777000 [Epoch 018] speed: 130 samples/sec time cost: 2026.364105 [Epoch 018] validation: acc-top1=53.991337 acc-top5=78.485974 loss=2.124238 Epoch[019] Batch [0049]/[3760] Speed: 94.888758 samples/sec accuracy=59.343750 loss=1.693502 lr=0.009134 Epoch[019] Batch [0099]/[3760] Speed: 129.559231 samples/sec accuracy=58.265625 loss=1.733306 lr=0.009133 Epoch[019] Batch [0149]/[3760] Speed: 132.641299 samples/sec accuracy=57.739583 loss=1.738739 lr=0.009132 Epoch[019] Batch [0199]/[3760] Speed: 137.902147 samples/sec accuracy=57.882812 loss=1.728767 lr=0.009130 Epoch[019] Batch [0249]/[3760] Speed: 128.890315 samples/sec accuracy=57.962500 loss=1.729919 lr=0.009129 Epoch[019] Batch [0299]/[3760] Speed: 125.916963 samples/sec accuracy=57.901042 loss=1.728782 lr=0.009128 Epoch[019] Batch [0349]/[3760] Speed: 135.099387 samples/sec accuracy=58.071429 loss=1.718242 lr=0.009127 Epoch[019] Batch [0399]/[3760] Speed: 126.377599 samples/sec accuracy=58.207031 loss=1.711301 lr=0.009126 Epoch[019] Batch [0449]/[3760] 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accuracy=58.067708 loss=1.710942 lr=0.009114 Epoch[019] Batch [0949]/[3760] Speed: 123.170069 samples/sec accuracy=58.047697 loss=1.712654 lr=0.009113 Epoch[019] Batch [0999]/[3760] Speed: 138.806571 samples/sec accuracy=57.989063 loss=1.714683 lr=0.009111 Epoch[019] Batch [1049]/[3760] Speed: 123.312321 samples/sec accuracy=57.962798 loss=1.716495 lr=0.009110 Epoch[019] Batch [1099]/[3760] Speed: 134.133093 samples/sec accuracy=57.933239 loss=1.717676 lr=0.009109 Epoch[019] Batch [1149]/[3760] Speed: 122.982881 samples/sec accuracy=57.910326 loss=1.717859 lr=0.009108 Epoch[019] Batch [1199]/[3760] Speed: 149.352730 samples/sec accuracy=57.884115 loss=1.719863 lr=0.009107 Epoch[019] Batch [1249]/[3760] Speed: 119.304798 samples/sec accuracy=57.952500 loss=1.718828 lr=0.009106 Epoch[019] Batch [1299]/[3760] Speed: 146.445185 samples/sec accuracy=57.890625 loss=1.721614 lr=0.009104 Epoch[019] Batch [1349]/[3760] Speed: 123.451653 samples/sec accuracy=57.871528 loss=1.722107 lr=0.009103 Epoch[019] Batch [1399]/[3760] Speed: 135.950227 samples/sec accuracy=57.885045 loss=1.722523 lr=0.009102 Epoch[019] Batch [1449]/[3760] Speed: 125.219434 samples/sec accuracy=57.838362 loss=1.724181 lr=0.009101 Epoch[019] Batch [1499]/[3760] Speed: 132.381975 samples/sec accuracy=57.808333 loss=1.724632 lr=0.009100 Epoch[019] Batch [1549]/[3760] Speed: 130.719961 samples/sec accuracy=57.848790 loss=1.724285 lr=0.009098 Epoch[019] Batch [1599]/[3760] Speed: 129.277668 samples/sec accuracy=57.778320 loss=1.726298 lr=0.009097 Epoch[019] Batch [1649]/[3760] Speed: 133.581135 samples/sec accuracy=57.775568 loss=1.725846 lr=0.009096 Epoch[019] Batch [1699]/[3760] Speed: 131.000230 samples/sec accuracy=57.758272 loss=1.726277 lr=0.009095 Epoch[019] Batch [1749]/[3760] Speed: 132.351922 samples/sec accuracy=57.743750 loss=1.726684 lr=0.009094 Epoch[019] Batch [1799]/[3760] Speed: 133.330879 samples/sec accuracy=57.725694 loss=1.726133 lr=0.009092 Epoch[019] Batch [1849]/[3760] Speed: 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loss=1.737259 lr=0.009080 Epoch[019] Batch [2349]/[3760] Speed: 125.970217 samples/sec accuracy=57.523936 loss=1.737653 lr=0.009079 Epoch[019] Batch [2399]/[3760] Speed: 133.096441 samples/sec accuracy=57.510417 loss=1.738006 lr=0.009078 Epoch[019] Batch [2449]/[3760] Speed: 133.860302 samples/sec accuracy=57.510842 loss=1.738129 lr=0.009077 Epoch[019] Batch [2499]/[3760] Speed: 132.154449 samples/sec accuracy=57.506250 loss=1.738438 lr=0.009075 Epoch[019] Batch [2549]/[3760] Speed: 131.264346 samples/sec accuracy=57.485294 loss=1.738791 lr=0.009074 Epoch[019] Batch [2599]/[3760] Speed: 129.259655 samples/sec accuracy=57.463942 loss=1.739345 lr=0.009073 Epoch[019] Batch [2649]/[3760] Speed: 133.417215 samples/sec accuracy=57.445165 loss=1.740621 lr=0.009072 Epoch[019] Batch [2699]/[3760] Speed: 128.108090 samples/sec accuracy=57.468750 loss=1.740350 lr=0.009071 Epoch[019] Batch [2749]/[3760] Speed: 127.189149 samples/sec accuracy=57.454545 loss=1.741178 lr=0.009069 Epoch[019] Batch 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accuracy=57.343750 loss=1.748311 lr=0.009057 Epoch[019] Batch [3299]/[3760] Speed: 131.334799 samples/sec accuracy=57.334280 loss=1.748926 lr=0.009056 Epoch[019] Batch [3349]/[3760] Speed: 132.248614 samples/sec accuracy=57.339552 loss=1.748951 lr=0.009055 Epoch[019] Batch [3399]/[3760] Speed: 128.825268 samples/sec accuracy=57.310202 loss=1.749867 lr=0.009054 Epoch[019] Batch [3449]/[3760] Speed: 127.002891 samples/sec accuracy=57.302083 loss=1.749704 lr=0.009052 Epoch[019] Batch [3499]/[3760] Speed: 131.296007 samples/sec accuracy=57.271429 loss=1.750994 lr=0.009051 Epoch[019] Batch [3549]/[3760] Speed: 132.377467 samples/sec accuracy=57.250440 loss=1.751579 lr=0.009050 Epoch[019] Batch [3599]/[3760] Speed: 133.114927 samples/sec accuracy=57.239149 loss=1.752144 lr=0.009049 Epoch[019] Batch [3649]/[3760] Speed: 125.547931 samples/sec accuracy=57.235017 loss=1.752257 lr=0.009047 Epoch[019] Batch [3699]/[3760] Speed: 143.557555 samples/sec accuracy=57.248311 loss=1.752161 lr=0.009046 Epoch[019] Batch [3749]/[3760] Speed: 137.929947 samples/sec accuracy=57.231667 loss=1.752704 lr=0.009045 Batch [0049]/[0303]: acc-top1=54.500000 acc-top5=78.906250 Batch [0099]/[0303]: acc-top1=54.187500 acc-top5=78.937500 Batch [0149]/[0303]: acc-top1=54.510417 acc-top5=78.708333 Batch [0199]/[0303]: acc-top1=54.281250 acc-top5=78.742188 Batch [0249]/[0303]: acc-top1=54.268750 acc-top5=78.656250 Batch [0299]/[0303]: acc-top1=54.500000 acc-top5=78.802083 [Epoch 019] training: accuracy=57.234043 loss=1.752573 [Epoch 019] speed: 130 samples/sec time cost: 2027.737833 [Epoch 019] validation: acc-top1=54.507013 acc-top5=78.785066 loss=2.107251 Epoch[020] Batch [0049]/[3759] Speed: 94.952029 samples/sec accuracy=59.343750 loss=1.661631 lr=0.009044 Epoch[020] Batch [0099]/[3759] Speed: 123.678292 samples/sec accuracy=59.656250 loss=1.658488 lr=0.009042 Epoch[020] Batch [0149]/[3759] Speed: 141.294696 samples/sec accuracy=59.656250 loss=1.667199 lr=0.009041 Epoch[020] Batch [0199]/[3759] Speed: 127.276010 samples/sec accuracy=59.382813 loss=1.668680 lr=0.009040 Epoch[020] Batch [0249]/[3759] Speed: 128.187430 samples/sec accuracy=59.475000 loss=1.669361 lr=0.009039 Epoch[020] Batch [0299]/[3759] Speed: 132.292453 samples/sec accuracy=59.203125 loss=1.676171 lr=0.009037 Epoch[020] Batch [0349]/[3759] Speed: 128.488532 samples/sec accuracy=59.017857 loss=1.682468 lr=0.009036 Epoch[020] Batch [0399]/[3759] Speed: 132.468140 samples/sec accuracy=58.765625 loss=1.690745 lr=0.009035 Epoch[020] Batch [0449]/[3759] Speed: 123.576666 samples/sec accuracy=58.746528 loss=1.689153 lr=0.009034 Epoch[020] Batch [0499]/[3759] Speed: 143.211230 samples/sec accuracy=58.765625 loss=1.690785 lr=0.009032 Epoch[020] Batch [0549]/[3759] Speed: 121.149466 samples/sec accuracy=58.835227 loss=1.689488 lr=0.009031 Epoch[020] Batch [0599]/[3759] Speed: 141.008476 samples/sec accuracy=58.744792 loss=1.692682 lr=0.009030 Epoch[020] Batch [0649]/[3759] Speed: 122.830318 samples/sec accuracy=58.689904 loss=1.695758 lr=0.009029 Epoch[020] Batch [0699]/[3759] Speed: 137.295906 samples/sec accuracy=58.720982 loss=1.695081 lr=0.009027 Epoch[020] Batch [0749]/[3759] Speed: 122.202711 samples/sec accuracy=58.810417 loss=1.692263 lr=0.009026 Epoch[020] Batch [0799]/[3759] Speed: 136.629486 samples/sec accuracy=58.759766 loss=1.692555 lr=0.009025 Epoch[020] Batch [0849]/[3759] Speed: 123.936294 samples/sec accuracy=58.715074 loss=1.695502 lr=0.009024 Epoch[020] Batch [0899]/[3759] Speed: 133.623478 samples/sec accuracy=58.654514 loss=1.699181 lr=0.009023 Epoch[020] Batch [0949]/[3759] Speed: 129.209614 samples/sec accuracy=58.606908 loss=1.702026 lr=0.009021 Epoch[020] Batch [0999]/[3759] Speed: 128.012795 samples/sec accuracy=58.548437 loss=1.705304 lr=0.009020 Epoch[020] Batch [1049]/[3759] Speed: 133.554898 samples/sec accuracy=58.544643 loss=1.705252 lr=0.009019 Epoch[020] Batch [1099]/[3759] Speed: 139.381078 samples/sec accuracy=58.558239 loss=1.702745 lr=0.009018 Epoch[020] Batch [1149]/[3759] Speed: 123.862136 samples/sec accuracy=58.509511 loss=1.704265 lr=0.009016 Epoch[020] Batch [1199]/[3759] Speed: 134.752303 samples/sec accuracy=58.545573 loss=1.703798 lr=0.009015 Epoch[020] Batch [1249]/[3759] Speed: 121.748343 samples/sec accuracy=58.492500 loss=1.705356 lr=0.009014 Epoch[020] Batch [1299]/[3759] Speed: 139.727348 samples/sec accuracy=58.425481 loss=1.708232 lr=0.009013 Epoch[020] Batch [1349]/[3759] Speed: 122.342628 samples/sec accuracy=58.317130 loss=1.711616 lr=0.009011 Epoch[020] Batch [1399]/[3759] Speed: 134.951652 samples/sec accuracy=58.302455 loss=1.712498 lr=0.009010 Epoch[020] Batch [1449]/[3759] Speed: 132.250108 samples/sec accuracy=58.311422 loss=1.713804 lr=0.009009 Epoch[020] Batch [1499]/[3759] Speed: 128.818320 samples/sec accuracy=58.285417 loss=1.715444 lr=0.009008 Epoch[020] Batch [1549]/[3759] Speed: 130.303554 samples/sec accuracy=58.322581 loss=1.713707 lr=0.009006 Epoch[020] Batch [1599]/[3759] Speed: 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loss=1.720919 lr=0.008994 Epoch[020] Batch [2099]/[3759] Speed: 130.153657 samples/sec accuracy=58.113095 loss=1.721438 lr=0.008993 Epoch[020] Batch [2149]/[3759] Speed: 129.077688 samples/sec accuracy=58.106105 loss=1.722483 lr=0.008991 Epoch[020] Batch [2199]/[3759] Speed: 130.018774 samples/sec accuracy=58.107244 loss=1.722771 lr=0.008990 Epoch[020] Batch [2249]/[3759] Speed: 128.435868 samples/sec accuracy=58.106944 loss=1.722173 lr=0.008989 Epoch[020] Batch [2299]/[3759] Speed: 130.995613 samples/sec accuracy=58.086277 loss=1.722572 lr=0.008988 Epoch[020] Batch [2349]/[3759] Speed: 132.890294 samples/sec accuracy=58.069814 loss=1.723178 lr=0.008986 Epoch[020] Batch [2399]/[3759] Speed: 127.662811 samples/sec accuracy=58.025391 loss=1.725573 lr=0.008985 Epoch[020] Batch [2449]/[3759] Speed: 127.221215 samples/sec accuracy=57.994898 loss=1.727057 lr=0.008984 Epoch[020] Batch [2499]/[3759] Speed: 143.388646 samples/sec accuracy=57.954375 loss=1.728962 lr=0.008982 Epoch[020] Batch 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accuracy=57.894271 loss=1.732713 lr=0.008970 Epoch[020] Batch [3049]/[3759] Speed: 122.179857 samples/sec accuracy=57.887295 loss=1.732741 lr=0.008969 Epoch[020] Batch [3099]/[3759] Speed: 130.899182 samples/sec accuracy=57.886089 loss=1.732871 lr=0.008967 Epoch[020] Batch [3149]/[3759] Speed: 127.127116 samples/sec accuracy=57.894841 loss=1.732610 lr=0.008966 Epoch[020] Batch [3199]/[3759] Speed: 134.921934 samples/sec accuracy=57.896973 loss=1.732587 lr=0.008965 Epoch[020] Batch [3249]/[3759] Speed: 132.473918 samples/sec accuracy=57.865385 loss=1.733219 lr=0.008963 Epoch[020] Batch [3299]/[3759] Speed: 126.892373 samples/sec accuracy=57.866477 loss=1.732191 lr=0.008962 Epoch[020] Batch [3349]/[3759] Speed: 133.999727 samples/sec accuracy=57.861940 loss=1.732143 lr=0.008961 Epoch[020] Batch [3399]/[3759] Speed: 133.824375 samples/sec accuracy=57.860754 loss=1.732411 lr=0.008960 Epoch[020] Batch [3449]/[3759] Speed: 132.929627 samples/sec accuracy=57.856884 loss=1.732568 lr=0.008958 Epoch[020] Batch [3499]/[3759] Speed: 126.943237 samples/sec accuracy=57.841964 loss=1.733126 lr=0.008957 Epoch[020] Batch [3549]/[3759] Speed: 136.691502 samples/sec accuracy=57.838908 loss=1.733732 lr=0.008956 Epoch[020] Batch [3599]/[3759] Speed: 124.493802 samples/sec accuracy=57.817708 loss=1.734781 lr=0.008955 Epoch[020] Batch [3649]/[3759] Speed: 134.003502 samples/sec accuracy=57.785959 loss=1.735750 lr=0.008953 Epoch[020] Batch [3699]/[3759] Speed: 130.742343 samples/sec accuracy=57.792652 loss=1.735424 lr=0.008952 Epoch[020] Batch [3749]/[3759] Speed: 149.443992 samples/sec accuracy=57.772083 loss=1.736341 lr=0.008951 Batch [0049]/[0303]: acc-top1=54.781250 acc-top5=78.625000 Batch [0099]/[0303]: acc-top1=54.218750 acc-top5=78.609375 Batch [0149]/[0303]: acc-top1=54.562500 acc-top5=78.541667 Batch [0199]/[0303]: acc-top1=54.171875 acc-top5=78.468750 Batch [0249]/[0303]: acc-top1=54.500000 acc-top5=78.481250 Batch [0299]/[0303]: acc-top1=54.598958 acc-top5=78.770833 [Epoch 020] training: accuracy=57.775505 loss=1.736042 [Epoch 020] speed: 130 samples/sec time cost: 2031.136558 [Epoch 020] validation: acc-top1=54.599835 acc-top5=78.754125 loss=2.102739 Epoch[021] Batch [0049]/[3760] Speed: 94.832030 samples/sec accuracy=58.687500 loss=1.663295 lr=0.008949 Epoch[021] Batch [0099]/[3760] Speed: 137.205647 samples/sec accuracy=58.531250 loss=1.680251 lr=0.008948 Epoch[021] Batch [0149]/[3760] Speed: 126.109102 samples/sec accuracy=58.906250 loss=1.677623 lr=0.008947 Epoch[021] Batch [0199]/[3760] Speed: 124.209596 samples/sec accuracy=58.851562 loss=1.677447 lr=0.008945 Epoch[021] Batch [0249]/[3760] Speed: 132.996960 samples/sec accuracy=58.662500 loss=1.679779 lr=0.008944 Epoch[021] Batch [0299]/[3760] Speed: 128.363841 samples/sec accuracy=58.557292 loss=1.687382 lr=0.008943 Epoch[021] Batch [0349]/[3760] Speed: 130.785902 samples/sec accuracy=58.883929 loss=1.678587 lr=0.008941 Epoch[021] Batch [0399]/[3760] Speed: 125.213306 samples/sec accuracy=58.773438 loss=1.683869 lr=0.008940 Epoch[021] Batch [0449]/[3760] Speed: 132.412113 samples/sec accuracy=58.788194 loss=1.681572 lr=0.008939 Epoch[021] Batch [0499]/[3760] Speed: 139.649198 samples/sec accuracy=58.740625 loss=1.683620 lr=0.008938 Epoch[021] Batch [0549]/[3760] Speed: 122.810035 samples/sec accuracy=58.741477 loss=1.686023 lr=0.008936 Epoch[021] Batch [0599]/[3760] Speed: 147.334096 samples/sec accuracy=58.781250 loss=1.685830 lr=0.008935 Epoch[021] Batch [0649]/[3760] Speed: 118.324180 samples/sec accuracy=58.829327 loss=1.683477 lr=0.008934 Epoch[021] Batch [0699]/[3760] Speed: 140.550870 samples/sec accuracy=58.890625 loss=1.681187 lr=0.008932 Epoch[021] Batch [0749]/[3760] Speed: 119.659131 samples/sec accuracy=58.872917 loss=1.681414 lr=0.008931 Epoch[021] Batch [0799]/[3760] Speed: 144.314682 samples/sec accuracy=58.791016 loss=1.684043 lr=0.008930 Epoch[021] Batch [0849]/[3760] Speed: 121.001211 samples/sec accuracy=58.759191 loss=1.685312 lr=0.008929 Epoch[021] Batch [0899]/[3760] Speed: 136.470743 samples/sec accuracy=58.741319 loss=1.687767 lr=0.008927 Epoch[021] Batch [0949]/[3760] Speed: 130.957609 samples/sec accuracy=58.697368 loss=1.689041 lr=0.008926 Epoch[021] Batch [0999]/[3760] Speed: 125.881814 samples/sec accuracy=58.656250 loss=1.691292 lr=0.008925 Epoch[021] Batch [1049]/[3760] Speed: 131.885529 samples/sec accuracy=58.638393 loss=1.691787 lr=0.008923 Epoch[021] Batch [1099]/[3760] Speed: 129.237947 samples/sec accuracy=58.698864 loss=1.687676 lr=0.008922 Epoch[021] Batch [1149]/[3760] Speed: 138.621368 samples/sec accuracy=58.703804 loss=1.687007 lr=0.008921 Epoch[021] Batch [1199]/[3760] Speed: 122.525361 samples/sec accuracy=58.705729 loss=1.687047 lr=0.008919 Epoch[021] Batch [1249]/[3760] Speed: 143.731846 samples/sec accuracy=58.753750 loss=1.687040 lr=0.008918 Epoch[021] Batch [1299]/[3760] Speed: 115.260416 samples/sec accuracy=58.756010 loss=1.686920 lr=0.008917 Epoch[021] Batch [1349]/[3760] Speed: 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loss=1.699264 lr=0.008904 Epoch[021] Batch [1849]/[3760] Speed: 145.512088 samples/sec accuracy=58.477196 loss=1.699701 lr=0.008903 Epoch[021] Batch [1899]/[3760] Speed: 121.369135 samples/sec accuracy=58.460526 loss=1.699659 lr=0.008901 Epoch[021] Batch [1949]/[3760] Speed: 139.828212 samples/sec accuracy=58.400641 loss=1.702001 lr=0.008900 Epoch[021] Batch [1999]/[3760] Speed: 120.929070 samples/sec accuracy=58.364844 loss=1.703890 lr=0.008899 Epoch[021] Batch [2049]/[3760] Speed: 143.626832 samples/sec accuracy=58.331555 loss=1.704909 lr=0.008897 Epoch[021] Batch [2099]/[3760] Speed: 125.044888 samples/sec accuracy=58.329613 loss=1.705203 lr=0.008896 Epoch[021] Batch [2149]/[3760] Speed: 131.785712 samples/sec accuracy=58.319767 loss=1.705843 lr=0.008895 Epoch[021] Batch [2199]/[3760] Speed: 125.062125 samples/sec accuracy=58.330256 loss=1.705926 lr=0.008893 Epoch[021] Batch [2249]/[3760] Speed: 131.826485 samples/sec accuracy=58.313194 loss=1.707689 lr=0.008892 Epoch[021] Batch 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accuracy=58.274432 loss=1.709982 lr=0.008879 Epoch[021] Batch [2799]/[3760] Speed: 131.377499 samples/sec accuracy=58.280134 loss=1.710420 lr=0.008878 Epoch[021] Batch [2849]/[3760] Speed: 130.149220 samples/sec accuracy=58.267544 loss=1.711174 lr=0.008876 Epoch[021] Batch [2899]/[3760] Speed: 130.825195 samples/sec accuracy=58.275323 loss=1.711611 lr=0.008875 Epoch[021] Batch [2949]/[3760] Speed: 123.733772 samples/sec accuracy=58.263771 loss=1.712073 lr=0.008874 Epoch[021] Batch [2999]/[3760] Speed: 142.999509 samples/sec accuracy=58.247917 loss=1.712447 lr=0.008872 Epoch[021] Batch [3049]/[3760] Speed: 131.110696 samples/sec accuracy=58.239754 loss=1.713416 lr=0.008871 Epoch[021] Batch [3099]/[3760] Speed: 131.522626 samples/sec accuracy=58.232863 loss=1.712947 lr=0.008870 Epoch[021] Batch [3149]/[3760] Speed: 123.018381 samples/sec accuracy=58.222718 loss=1.713639 lr=0.008868 Epoch[021] Batch [3199]/[3760] Speed: 136.623722 samples/sec accuracy=58.225586 loss=1.713690 lr=0.008867 Epoch[021] Batch [3249]/[3760] Speed: 125.077508 samples/sec accuracy=58.239423 loss=1.713387 lr=0.008866 Epoch[021] Batch [3299]/[3760] Speed: 141.183205 samples/sec accuracy=58.219697 loss=1.714006 lr=0.008864 Epoch[021] Batch [3349]/[3760] Speed: 117.671915 samples/sec accuracy=58.206623 loss=1.714710 lr=0.008863 Epoch[021] Batch [3399]/[3760] Speed: 153.655207 samples/sec accuracy=58.183364 loss=1.716258 lr=0.008862 Epoch[021] Batch [3449]/[3760] Speed: 115.740380 samples/sec accuracy=58.164855 loss=1.717099 lr=0.008860 Epoch[021] Batch [3499]/[3760] Speed: 145.015452 samples/sec accuracy=58.159375 loss=1.717500 lr=0.008859 Epoch[021] Batch [3549]/[3760] Speed: 123.503710 samples/sec accuracy=58.117958 loss=1.718916 lr=0.008858 Epoch[021] Batch [3599]/[3760] Speed: 141.442410 samples/sec accuracy=58.114583 loss=1.719047 lr=0.008856 Epoch[021] Batch [3649]/[3760] Speed: 124.481964 samples/sec accuracy=58.102312 loss=1.719944 lr=0.008855 Epoch[021] Batch [3699]/[3760] Speed: 139.280840 samples/sec accuracy=58.072635 loss=1.721206 lr=0.008854 Epoch[021] Batch [3749]/[3760] Speed: 143.619861 samples/sec accuracy=58.036667 loss=1.722921 lr=0.008852 Batch [0049]/[0303]: acc-top1=54.812500 acc-top5=78.562500 Batch [0099]/[0303]: acc-top1=53.921875 acc-top5=78.359375 Batch [0149]/[0303]: acc-top1=54.572917 acc-top5=78.572917 Batch [0199]/[0303]: acc-top1=54.398438 acc-top5=78.539062 Batch [0249]/[0303]: acc-top1=54.500000 acc-top5=78.525000 Batch [0299]/[0303]: acc-top1=54.625000 acc-top5=78.723958 [Epoch 021] training: accuracy=58.036902 loss=1.722936 [Epoch 021] speed: 130 samples/sec time cost: 2031.344853 [Epoch 021] validation: acc-top1=54.641089 acc-top5=78.707715 loss=2.148781 Epoch[022] Batch [0049]/[3760] Speed: 95.315197 samples/sec accuracy=58.656250 loss=1.677316 lr=0.008851 Epoch[022] Batch [0099]/[3760] Speed: 140.094878 samples/sec accuracy=58.609375 loss=1.685240 lr=0.008850 Epoch[022] Batch [0149]/[3760] Speed: 119.928585 samples/sec accuracy=58.906250 loss=1.671504 lr=0.008848 Epoch[022] Batch [0199]/[3760] Speed: 142.131162 samples/sec accuracy=58.726562 loss=1.684264 lr=0.008847 Epoch[022] Batch [0249]/[3760] Speed: 120.726251 samples/sec accuracy=59.093750 loss=1.671789 lr=0.008846 Epoch[022] Batch [0299]/[3760] Speed: 135.252320 samples/sec accuracy=58.958333 loss=1.673247 lr=0.008844 Epoch[022] Batch [0349]/[3760] Speed: 129.380378 samples/sec accuracy=58.964286 loss=1.671998 lr=0.008843 Epoch[022] Batch [0399]/[3760] Speed: 135.746377 samples/sec accuracy=58.894531 loss=1.676066 lr=0.008842 Epoch[022] Batch [0449]/[3760] Speed: 120.890156 samples/sec accuracy=58.958333 loss=1.673564 lr=0.008840 Epoch[022] Batch [0499]/[3760] Speed: 147.286274 samples/sec accuracy=58.918750 loss=1.675116 lr=0.008839 Epoch[022] Batch [0549]/[3760] Speed: 117.842620 samples/sec accuracy=58.943182 loss=1.672487 lr=0.008837 Epoch[022] Batch [0599]/[3760] Speed: 141.542757 samples/sec accuracy=58.942708 loss=1.671970 lr=0.008836 Epoch[022] Batch [0649]/[3760] Speed: 135.382030 samples/sec accuracy=58.930288 loss=1.671582 lr=0.008835 Epoch[022] Batch [0699]/[3760] Speed: 123.676091 samples/sec accuracy=58.886161 loss=1.673213 lr=0.008833 Epoch[022] Batch [0749]/[3760] Speed: 129.053589 samples/sec accuracy=58.841667 loss=1.675605 lr=0.008832 Epoch[022] Batch [0799]/[3760] Speed: 130.784665 samples/sec accuracy=58.849609 loss=1.676393 lr=0.008831 Epoch[022] Batch [0849]/[3760] Speed: 133.049512 samples/sec accuracy=58.781250 loss=1.681114 lr=0.008829 Epoch[022] Batch [0899]/[3760] Speed: 128.625431 samples/sec accuracy=58.807292 loss=1.680113 lr=0.008828 Epoch[022] Batch [0949]/[3760] Speed: 132.518413 samples/sec accuracy=58.781250 loss=1.681174 lr=0.008827 Epoch[022] Batch [0999]/[3760] Speed: 129.676244 samples/sec accuracy=58.678125 loss=1.683647 lr=0.008825 Epoch[022] Batch [1049]/[3760] Speed: 130.275113 samples/sec accuracy=58.674107 loss=1.683747 lr=0.008824 Epoch[022] Batch [1099]/[3760] Speed: 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loss=1.685493 lr=0.008811 Epoch[022] Batch [1599]/[3760] Speed: 133.731551 samples/sec accuracy=58.724609 loss=1.686595 lr=0.008809 Epoch[022] Batch [1649]/[3760] Speed: 126.049834 samples/sec accuracy=58.734848 loss=1.686018 lr=0.008808 Epoch[022] Batch [1699]/[3760] Speed: 129.909867 samples/sec accuracy=58.726103 loss=1.687239 lr=0.008807 Epoch[022] Batch [1749]/[3760] Speed: 133.817968 samples/sec accuracy=58.740179 loss=1.687788 lr=0.008805 Epoch[022] Batch [1799]/[3760] Speed: 122.674019 samples/sec accuracy=58.726562 loss=1.688664 lr=0.008804 Epoch[022] Batch [1849]/[3760] Speed: 142.526306 samples/sec accuracy=58.736486 loss=1.687849 lr=0.008802 Epoch[022] Batch [1899]/[3760] Speed: 125.011912 samples/sec accuracy=58.731908 loss=1.688021 lr=0.008801 Epoch[022] Batch [1949]/[3760] Speed: 144.433523 samples/sec accuracy=58.694712 loss=1.689028 lr=0.008800 Epoch[022] Batch [1999]/[3760] Speed: 118.352607 samples/sec accuracy=58.670313 loss=1.689836 lr=0.008798 Epoch[022] Batch 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accuracy=58.507500 loss=1.697515 lr=0.008785 Epoch[022] Batch [2549]/[3760] Speed: 134.062438 samples/sec accuracy=58.504902 loss=1.697709 lr=0.008783 Epoch[022] Batch [2599]/[3760] Speed: 125.788482 samples/sec accuracy=58.484375 loss=1.699219 lr=0.008782 Epoch[022] Batch [2649]/[3760] Speed: 139.710067 samples/sec accuracy=58.500590 loss=1.698553 lr=0.008781 Epoch[022] Batch [2699]/[3760] Speed: 128.176505 samples/sec accuracy=58.498843 loss=1.698403 lr=0.008779 Epoch[022] Batch [2749]/[3760] Speed: 132.278221 samples/sec accuracy=58.486364 loss=1.699321 lr=0.008778 Epoch[022] Batch [2799]/[3760] Speed: 125.980260 samples/sec accuracy=58.477121 loss=1.700235 lr=0.008777 Epoch[022] Batch [2849]/[3760] Speed: 127.439106 samples/sec accuracy=58.457785 loss=1.700901 lr=0.008775 Epoch[022] Batch [2899]/[3760] Speed: 145.773914 samples/sec accuracy=58.460668 loss=1.701124 lr=0.008774 Epoch[022] Batch [2949]/[3760] Speed: 123.117561 samples/sec accuracy=58.459216 loss=1.701109 lr=0.008772 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124.970912 samples/sec accuracy=58.342391 loss=1.705780 lr=0.008759 Epoch[022] Batch [3499]/[3760] Speed: 145.944205 samples/sec accuracy=58.315625 loss=1.706742 lr=0.008757 Epoch[022] Batch [3549]/[3760] Speed: 118.360852 samples/sec accuracy=58.328785 loss=1.706497 lr=0.008756 Epoch[022] Batch [3599]/[3760] Speed: 146.628440 samples/sec accuracy=58.326389 loss=1.707031 lr=0.008755 Epoch[022] Batch [3649]/[3760] Speed: 121.604882 samples/sec accuracy=58.342466 loss=1.706910 lr=0.008753 Epoch[022] Batch [3699]/[3760] Speed: 145.533737 samples/sec accuracy=58.344172 loss=1.706868 lr=0.008752 Epoch[022] Batch [3749]/[3760] Speed: 137.153804 samples/sec accuracy=58.318333 loss=1.707540 lr=0.008750 Batch [0049]/[0303]: acc-top1=54.968750 acc-top5=78.625000 Batch [0099]/[0303]: acc-top1=54.546875 acc-top5=78.562500 Batch [0149]/[0303]: acc-top1=54.666667 acc-top5=78.625000 Batch [0199]/[0303]: acc-top1=54.296875 acc-top5=78.406250 Batch [0249]/[0303]: acc-top1=54.318750 acc-top5=78.431250 Batch [0299]/[0303]: acc-top1=54.640625 acc-top5=78.723958 [Epoch 022] training: accuracy=58.314910 loss=1.707739 [Epoch 022] speed: 130 samples/sec time cost: 2026.691562 [Epoch 022] validation: acc-top1=54.646246 acc-top5=78.728342 loss=2.110351 Epoch[023] Batch [0049]/[3759] Speed: 95.548049 samples/sec accuracy=60.000000 loss=1.606824 lr=0.008749 Epoch[023] Batch [0099]/[3759] Speed: 138.734629 samples/sec accuracy=59.937500 loss=1.623807 lr=0.008747 Epoch[023] Batch [0149]/[3759] Speed: 124.685122 samples/sec accuracy=59.729167 loss=1.621949 lr=0.008746 Epoch[023] Batch [0199]/[3759] Speed: 135.678179 samples/sec accuracy=59.789062 loss=1.619269 lr=0.008745 Epoch[023] Batch [0249]/[3759] Speed: 128.579643 samples/sec accuracy=59.743750 loss=1.620560 lr=0.008743 Epoch[023] Batch [0299]/[3759] Speed: 133.087865 samples/sec accuracy=59.781250 loss=1.626802 lr=0.008742 Epoch[023] Batch [0349]/[3759] Speed: 129.201982 samples/sec accuracy=59.937500 loss=1.627664 lr=0.008740 Epoch[023] 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samples/sec accuracy=59.404412 loss=1.650294 lr=0.008727 Epoch[023] Batch [0899]/[3759] Speed: 130.861119 samples/sec accuracy=59.307292 loss=1.654274 lr=0.008725 Epoch[023] Batch [0949]/[3759] Speed: 129.851226 samples/sec accuracy=59.347039 loss=1.653611 lr=0.008724 Epoch[023] Batch [0999]/[3759] Speed: 129.883234 samples/sec accuracy=59.379688 loss=1.653475 lr=0.008722 Epoch[023] Batch [1049]/[3759] Speed: 126.969005 samples/sec accuracy=59.321429 loss=1.654934 lr=0.008721 Epoch[023] Batch [1099]/[3759] Speed: 133.162925 samples/sec accuracy=59.275568 loss=1.654943 lr=0.008720 Epoch[023] Batch [1149]/[3759] Speed: 125.057648 samples/sec accuracy=59.267663 loss=1.656075 lr=0.008718 Epoch[023] Batch [1199]/[3759] Speed: 136.424623 samples/sec accuracy=59.226562 loss=1.657229 lr=0.008717 Epoch[023] Batch [1249]/[3759] Speed: 128.479097 samples/sec accuracy=59.245000 loss=1.656561 lr=0.008715 Epoch[023] Batch [1299]/[3759] Speed: 127.884066 samples/sec accuracy=59.168269 loss=1.659843 lr=0.008714 Epoch[023] Batch [1349]/[3759] Speed: 134.142253 samples/sec accuracy=59.184028 loss=1.659839 lr=0.008713 Epoch[023] Batch [1399]/[3759] Speed: 126.959404 samples/sec accuracy=59.158482 loss=1.661351 lr=0.008711 Epoch[023] Batch [1449]/[3759] Speed: 143.287196 samples/sec accuracy=59.105603 loss=1.664231 lr=0.008710 Epoch[023] Batch [1499]/[3759] Speed: 120.514513 samples/sec accuracy=59.078125 loss=1.667454 lr=0.008708 Epoch[023] Batch [1549]/[3759] Speed: 138.922668 samples/sec accuracy=59.085685 loss=1.667368 lr=0.008707 Epoch[023] Batch [1599]/[3759] Speed: 121.886126 samples/sec accuracy=59.059570 loss=1.669356 lr=0.008706 Epoch[023] Batch [1649]/[3759] Speed: 139.189607 samples/sec accuracy=59.062500 loss=1.670414 lr=0.008704 Epoch[023] Batch [1699]/[3759] Speed: 131.654043 samples/sec accuracy=59.080882 loss=1.670997 lr=0.008703 Epoch[023] Batch [1749]/[3759] Speed: 123.539976 samples/sec accuracy=59.106250 loss=1.670266 lr=0.008701 Epoch[023] Batch [1799]/[3759] 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accuracy=58.979167 loss=1.675006 lr=0.008687 Epoch[023] Batch [2299]/[3759] Speed: 128.407960 samples/sec accuracy=58.976223 loss=1.676831 lr=0.008686 Epoch[023] Batch [2349]/[3759] Speed: 124.850098 samples/sec accuracy=58.960106 loss=1.677725 lr=0.008684 Epoch[023] Batch [2399]/[3759] Speed: 134.590565 samples/sec accuracy=58.931641 loss=1.679140 lr=0.008683 Epoch[023] Batch [2449]/[3759] Speed: 127.535790 samples/sec accuracy=58.945153 loss=1.678621 lr=0.008682 Epoch[023] Batch [2499]/[3759] Speed: 130.795423 samples/sec accuracy=58.934375 loss=1.679562 lr=0.008680 Epoch[023] Batch [2549]/[3759] Speed: 135.947504 samples/sec accuracy=58.933824 loss=1.679389 lr=0.008679 Epoch[023] Batch [2599]/[3759] Speed: 124.795941 samples/sec accuracy=58.945312 loss=1.679097 lr=0.008677 Epoch[023] Batch [2649]/[3759] Speed: 140.653085 samples/sec accuracy=58.964623 loss=1.678389 lr=0.008676 Epoch[023] Batch [2699]/[3759] Speed: 126.095169 samples/sec accuracy=58.968171 loss=1.678270 lr=0.008675 Epoch[023] Batch [2749]/[3759] Speed: 139.738402 samples/sec accuracy=58.956250 loss=1.678463 lr=0.008673 Epoch[023] Batch [2799]/[3759] Speed: 120.121362 samples/sec accuracy=58.953683 loss=1.678617 lr=0.008672 Epoch[023] Batch [2849]/[3759] Speed: 147.079000 samples/sec accuracy=58.955044 loss=1.678363 lr=0.008670 Epoch[023] Batch [2899]/[3759] Speed: 122.235547 samples/sec accuracy=58.948276 loss=1.679077 lr=0.008669 Epoch[023] Batch [2949]/[3759] Speed: 135.824308 samples/sec accuracy=58.930085 loss=1.680416 lr=0.008667 Epoch[023] Batch [2999]/[3759] Speed: 129.575417 samples/sec accuracy=58.934375 loss=1.680136 lr=0.008666 Epoch[023] Batch [3049]/[3759] Speed: 126.463994 samples/sec accuracy=58.943135 loss=1.680354 lr=0.008665 Epoch[023] Batch [3099]/[3759] Speed: 139.507122 samples/sec accuracy=58.923387 loss=1.681196 lr=0.008663 Epoch[023] Batch [3149]/[3759] Speed: 122.133037 samples/sec accuracy=58.925099 loss=1.681575 lr=0.008662 Epoch[023] Batch [3199]/[3759] Speed: 138.387183 samples/sec accuracy=58.942383 loss=1.681394 lr=0.008660 Epoch[023] Batch [3249]/[3759] Speed: 125.445237 samples/sec accuracy=58.933654 loss=1.681721 lr=0.008659 Epoch[023] Batch [3299]/[3759] Speed: 151.163333 samples/sec accuracy=58.902936 loss=1.682860 lr=0.008658 Epoch[023] Batch [3349]/[3759] Speed: 113.279804 samples/sec accuracy=58.887593 loss=1.683250 lr=0.008656 Epoch[023] Batch [3399]/[3759] Speed: 143.944670 samples/sec accuracy=58.879136 loss=1.683663 lr=0.008655 Epoch[023] Batch [3449]/[3759] Speed: 122.202258 samples/sec accuracy=58.832880 loss=1.684837 lr=0.008653 Epoch[023] Batch [3499]/[3759] Speed: 140.723366 samples/sec accuracy=58.813393 loss=1.685548 lr=0.008652 Epoch[023] Batch [3549]/[3759] Speed: 116.886643 samples/sec accuracy=58.797975 loss=1.685864 lr=0.008650 Epoch[023] Batch [3599]/[3759] Speed: 145.828446 samples/sec accuracy=58.792101 loss=1.686395 lr=0.008649 Epoch[023] Batch [3649]/[3759] Speed: 125.859524 samples/sec accuracy=58.781250 loss=1.687027 lr=0.008648 Epoch[023] Batch [3699]/[3759] Speed: 135.987073 samples/sec accuracy=58.763936 loss=1.687977 lr=0.008646 Epoch[023] Batch [3749]/[3759] Speed: 155.295117 samples/sec accuracy=58.763750 loss=1.687852 lr=0.008645 Batch [0049]/[0303]: acc-top1=54.468750 acc-top5=79.281250 Batch [0099]/[0303]: acc-top1=53.750000 acc-top5=78.781250 Batch [0149]/[0303]: acc-top1=54.510417 acc-top5=78.645833 Batch [0199]/[0303]: acc-top1=54.625000 acc-top5=78.843750 Batch [0249]/[0303]: acc-top1=54.668750 acc-top5=78.737500 Batch [0299]/[0303]: acc-top1=54.822917 acc-top5=78.942708 [Epoch 023] training: accuracy=58.764798 loss=1.687719 [Epoch 023] speed: 130 samples/sec time cost: 2024.042692 [Epoch 023] validation: acc-top1=54.816419 acc-top5=78.934612 loss=2.081785 Epoch[024] Batch [0049]/[3760] Speed: 96.597326 samples/sec accuracy=60.312500 loss=1.603726 lr=0.008643 Epoch[024] Batch [0099]/[3760] Speed: 123.444486 samples/sec accuracy=60.171875 loss=1.624633 lr=0.008642 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loss=1.671756 lr=0.008546 Epoch[024] Batch [3449]/[3760] Speed: 142.083949 samples/sec accuracy=59.054801 loss=1.671693 lr=0.008544 Epoch[024] Batch [3499]/[3760] Speed: 122.149529 samples/sec accuracy=59.053125 loss=1.672513 lr=0.008543 Epoch[024] Batch [3549]/[3760] Speed: 140.991436 samples/sec accuracy=59.055458 loss=1.672071 lr=0.008541 Epoch[024] Batch [3599]/[3760] Speed: 119.477937 samples/sec accuracy=59.038194 loss=1.672438 lr=0.008540 Epoch[024] Batch [3649]/[3760] Speed: 143.628714 samples/sec accuracy=59.057363 loss=1.672416 lr=0.008538 Epoch[024] Batch [3699]/[3760] Speed: 121.029635 samples/sec accuracy=59.065034 loss=1.672881 lr=0.008537 Epoch[024] Batch [3749]/[3760] Speed: 158.244405 samples/sec accuracy=59.052500 loss=1.673717 lr=0.008535 Batch [0049]/[0303]: acc-top1=54.656250 acc-top5=79.343750 Batch [0099]/[0303]: acc-top1=54.703125 acc-top5=79.250000 Batch [0149]/[0303]: acc-top1=55.166667 acc-top5=79.166667 Batch [0199]/[0303]: acc-top1=54.953125 acc-top5=79.062500 Batch [0249]/[0303]: acc-top1=54.981250 acc-top5=78.912500 Batch [0299]/[0303]: acc-top1=55.270833 acc-top5=79.250000 [Epoch 024] training: accuracy=59.044215 loss=1.673979 [Epoch 024] speed: 131 samples/sec time cost: 2021.307581 [Epoch 024] validation: acc-top1=55.228960 acc-top5=79.269802 loss=2.099048 Epoch[025] Batch [0049]/[3760] Speed: 97.329173 samples/sec accuracy=60.093750 loss=1.659609 lr=0.008534 Epoch[025] Batch [0099]/[3760] Speed: 136.474979 samples/sec accuracy=61.109375 loss=1.615368 lr=0.008532 Epoch[025] Batch [0149]/[3760] Speed: 127.234339 samples/sec accuracy=60.197917 loss=1.627897 lr=0.008531 Epoch[025] Batch [0199]/[3760] Speed: 125.748751 samples/sec accuracy=60.226562 loss=1.620854 lr=0.008529 Epoch[025] Batch [0249]/[3760] Speed: 134.336581 samples/sec accuracy=60.087500 loss=1.621909 lr=0.008528 Epoch[025] Batch [0299]/[3760] Speed: 139.568681 samples/sec accuracy=59.796875 loss=1.633151 lr=0.008526 Epoch[025] Batch [0349]/[3760] Speed: 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loss=1.634954 lr=0.008511 Epoch[025] Batch [0849]/[3760] Speed: 141.429670 samples/sec accuracy=59.862132 loss=1.638741 lr=0.008510 Epoch[025] Batch [0899]/[3760] Speed: 116.403283 samples/sec accuracy=59.840278 loss=1.638254 lr=0.008508 Epoch[025] Batch [0949]/[3760] Speed: 147.125850 samples/sec accuracy=59.833882 loss=1.637749 lr=0.008507 Epoch[025] Batch [0999]/[3760] Speed: 123.869634 samples/sec accuracy=59.818750 loss=1.637812 lr=0.008505 Epoch[025] Batch [1049]/[3760] Speed: 142.067001 samples/sec accuracy=59.846726 loss=1.636323 lr=0.008504 Epoch[025] Batch [1099]/[3760] Speed: 134.316711 samples/sec accuracy=59.839489 loss=1.634896 lr=0.008502 Epoch[025] Batch [1149]/[3760] Speed: 131.377907 samples/sec accuracy=59.853261 loss=1.634309 lr=0.008501 Epoch[025] Batch [1199]/[3760] Speed: 124.910861 samples/sec accuracy=59.838542 loss=1.633045 lr=0.008499 Epoch[025] Batch [1249]/[3760] Speed: 136.851852 samples/sec accuracy=59.852500 loss=1.633012 lr=0.008498 Epoch[025] Batch 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accuracy=59.797321 loss=1.633215 lr=0.008483 Epoch[025] Batch [1799]/[3760] Speed: 122.685176 samples/sec accuracy=59.780382 loss=1.634893 lr=0.008481 Epoch[025] Batch [1849]/[3760] Speed: 141.235635 samples/sec accuracy=59.777027 loss=1.635366 lr=0.008480 Epoch[025] Batch [1899]/[3760] Speed: 129.834696 samples/sec accuracy=59.750822 loss=1.635955 lr=0.008478 Epoch[025] Batch [1949]/[3760] Speed: 124.557240 samples/sec accuracy=59.733974 loss=1.637280 lr=0.008477 Epoch[025] Batch [1999]/[3760] Speed: 143.100263 samples/sec accuracy=59.750781 loss=1.636978 lr=0.008475 Epoch[025] Batch [2049]/[3760] Speed: 122.068831 samples/sec accuracy=59.735518 loss=1.638012 lr=0.008474 Epoch[025] Batch [2099]/[3760] Speed: 139.130223 samples/sec accuracy=59.697173 loss=1.639437 lr=0.008472 Epoch[025] Batch [2149]/[3760] Speed: 128.947470 samples/sec accuracy=59.691134 loss=1.640099 lr=0.008471 Epoch[025] Batch [2199]/[3760] Speed: 129.827602 samples/sec accuracy=59.696023 loss=1.639689 lr=0.008469 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loss=1.650734 lr=0.008441 Epoch[025] Batch [3199]/[3760] Speed: 126.887165 samples/sec accuracy=59.489258 loss=1.651000 lr=0.008439 Epoch[025] Batch [3249]/[3760] Speed: 135.427685 samples/sec accuracy=59.512500 loss=1.650171 lr=0.008438 Epoch[025] Batch [3299]/[3760] Speed: 117.660295 samples/sec accuracy=59.512311 loss=1.650435 lr=0.008436 Epoch[025] Batch [3349]/[3760] Speed: 153.938046 samples/sec accuracy=59.504664 loss=1.650960 lr=0.008435 Epoch[025] Batch [3399]/[3760] Speed: 113.996962 samples/sec accuracy=59.468290 loss=1.652107 lr=0.008433 Epoch[025] Batch [3449]/[3760] Speed: 145.252504 samples/sec accuracy=59.486866 loss=1.651197 lr=0.008432 Epoch[025] Batch [3499]/[3760] Speed: 126.587961 samples/sec accuracy=59.450893 loss=1.652315 lr=0.008430 Epoch[025] Batch [3549]/[3760] Speed: 133.231917 samples/sec accuracy=59.445423 loss=1.652183 lr=0.008429 Epoch[025] Batch [3599]/[3760] Speed: 126.162532 samples/sec accuracy=59.450955 loss=1.652258 lr=0.008427 Epoch[025] Batch [3649]/[3760] Speed: 136.479027 samples/sec accuracy=59.466182 loss=1.651339 lr=0.008426 Epoch[025] Batch [3699]/[3760] Speed: 135.720356 samples/sec accuracy=59.438345 loss=1.652369 lr=0.008424 Epoch[025] Batch [3749]/[3760] Speed: 147.149108 samples/sec accuracy=59.405833 loss=1.653811 lr=0.008423 Batch [0049]/[0303]: acc-top1=56.593750 acc-top5=79.500000 Batch [0099]/[0303]: acc-top1=56.031250 acc-top5=79.250000 Batch [0149]/[0303]: acc-top1=56.333333 acc-top5=79.312500 Batch [0199]/[0303]: acc-top1=56.171875 acc-top5=79.226562 Batch [0249]/[0303]: acc-top1=56.212500 acc-top5=79.168750 Batch [0299]/[0303]: acc-top1=56.473958 acc-top5=79.447917 [Epoch 025] training: accuracy=59.403258 loss=1.653880 [Epoch 025] speed: 131 samples/sec time cost: 2021.023595 [Epoch 025] validation: acc-top1=56.456271 acc-top5=79.424505 loss=2.077386 Epoch[026] Batch [0049]/[3759] Speed: 95.869619 samples/sec accuracy=61.406250 loss=1.591156 lr=0.008421 Epoch[026] Batch [0099]/[3759] Speed: 126.973847 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loss=1.634463 lr=0.008333 Epoch[026] Batch [2949]/[3759] Speed: 125.895238 samples/sec accuracy=59.734640 loss=1.636012 lr=0.008331 Epoch[026] Batch [2999]/[3759] Speed: 134.871848 samples/sec accuracy=59.715625 loss=1.636623 lr=0.008330 Epoch[026] Batch [3049]/[3759] Speed: 125.966458 samples/sec accuracy=59.721311 loss=1.637084 lr=0.008328 Epoch[026] Batch [3099]/[3759] Speed: 135.798559 samples/sec accuracy=59.704637 loss=1.637532 lr=0.008327 Epoch[026] Batch [3149]/[3759] Speed: 126.428905 samples/sec accuracy=59.714286 loss=1.637046 lr=0.008325 Epoch[026] Batch [3199]/[3759] Speed: 145.479205 samples/sec accuracy=59.693359 loss=1.637857 lr=0.008324 Epoch[026] Batch [3249]/[3759] Speed: 116.348120 samples/sec accuracy=59.699038 loss=1.638150 lr=0.008322 Epoch[026] Batch [3299]/[3759] Speed: 152.322825 samples/sec accuracy=59.677083 loss=1.639424 lr=0.008320 Epoch[026] Batch [3349]/[3759] Speed: 112.610232 samples/sec accuracy=59.671175 loss=1.639733 lr=0.008319 Epoch[026] Batch 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acc-top5=78.302083 Batch [0199]/[0303]: acc-top1=54.531250 acc-top5=78.296875 Batch [0249]/[0303]: acc-top1=54.687500 acc-top5=78.268750 Batch [0299]/[0303]: acc-top1=54.921875 acc-top5=78.578125 [Epoch 026] training: accuracy=59.579925 loss=1.644735 [Epoch 026] speed: 131 samples/sec time cost: 2021.765250 [Epoch 026] validation: acc-top1=54.898927 acc-top5=78.583952 loss=2.126868 Epoch[027] Batch [0049]/[3760] Speed: 94.114106 samples/sec accuracy=61.187500 loss=1.557365 lr=0.008304 Epoch[027] Batch [0099]/[3760] Speed: 157.430100 samples/sec accuracy=60.953125 loss=1.575071 lr=0.008303 Epoch[027] Batch [0149]/[3760] Speed: 115.140143 samples/sec accuracy=60.906250 loss=1.582401 lr=0.008301 Epoch[027] Batch [0199]/[3760] Speed: 148.185849 samples/sec accuracy=61.179688 loss=1.572976 lr=0.008300 Epoch[027] Batch [0249]/[3760] Speed: 120.692888 samples/sec accuracy=60.906250 loss=1.576087 lr=0.008298 Epoch[027] Batch [0299]/[3760] Speed: 141.602151 samples/sec accuracy=61.010417 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accuracy=60.425000 loss=1.602366 lr=0.008267 Epoch[027] Batch [1299]/[3760] Speed: 116.080718 samples/sec accuracy=60.361779 loss=1.605621 lr=0.008265 Epoch[027] Batch [1349]/[3760] Speed: 157.198833 samples/sec accuracy=60.376157 loss=1.605499 lr=0.008263 Epoch[027] Batch [1399]/[3760] Speed: 111.360866 samples/sec accuracy=60.344866 loss=1.607548 lr=0.008262 Epoch[027] Batch [1449]/[3760] Speed: 151.798490 samples/sec accuracy=60.336207 loss=1.607325 lr=0.008260 Epoch[027] Batch [1499]/[3760] Speed: 118.482055 samples/sec accuracy=60.360417 loss=1.607310 lr=0.008259 Epoch[027] Batch [1549]/[3760] Speed: 144.391644 samples/sec accuracy=60.355847 loss=1.606331 lr=0.008257 Epoch[027] Batch [1599]/[3760] Speed: 122.396473 samples/sec accuracy=60.306641 loss=1.608296 lr=0.008256 Epoch[027] Batch [1649]/[3760] Speed: 136.753470 samples/sec accuracy=60.287879 loss=1.610184 lr=0.008254 Epoch[027] Batch [1699]/[3760] Speed: 123.842073 samples/sec accuracy=60.285846 loss=1.610753 lr=0.008252 Epoch[027] Batch [1749]/[3760] Speed: 143.861425 samples/sec accuracy=60.261607 loss=1.612030 lr=0.008251 Epoch[027] Batch [1799]/[3760] Speed: 123.556261 samples/sec accuracy=60.286458 loss=1.611241 lr=0.008249 Epoch[027] Batch [1849]/[3760] Speed: 139.860138 samples/sec accuracy=60.282095 loss=1.611252 lr=0.008248 Epoch[027] Batch [1899]/[3760] Speed: 120.561617 samples/sec accuracy=60.282072 loss=1.611008 lr=0.008246 Epoch[027] Batch [1949]/[3760] Speed: 138.994442 samples/sec accuracy=60.261218 loss=1.612148 lr=0.008244 Epoch[027] Batch [1999]/[3760] Speed: 131.265445 samples/sec accuracy=60.255469 loss=1.611778 lr=0.008243 Epoch[027] Batch [2049]/[3760] Speed: 133.346091 samples/sec accuracy=60.250000 loss=1.612467 lr=0.008241 Epoch[027] Batch [2099]/[3760] Speed: 127.837579 samples/sec accuracy=60.252976 loss=1.612458 lr=0.008240 Epoch[027] Batch [2149]/[3760] Speed: 138.353822 samples/sec accuracy=60.235465 loss=1.614175 lr=0.008238 Epoch[027] Batch [2199]/[3760] Speed: 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loss=1.616764 lr=0.008222 Epoch[027] Batch [2699]/[3760] Speed: 146.817230 samples/sec accuracy=60.207755 loss=1.616350 lr=0.008221 Epoch[027] Batch [2749]/[3760] Speed: 120.604944 samples/sec accuracy=60.193750 loss=1.617379 lr=0.008219 Epoch[027] Batch [2799]/[3760] Speed: 140.316600 samples/sec accuracy=60.148437 loss=1.619346 lr=0.008217 Epoch[027] Batch [2849]/[3760] Speed: 123.114734 samples/sec accuracy=60.131579 loss=1.619782 lr=0.008216 Epoch[027] Batch [2899]/[3760] Speed: 138.564124 samples/sec accuracy=60.147629 loss=1.618643 lr=0.008214 Epoch[027] Batch [2949]/[3760] Speed: 127.805943 samples/sec accuracy=60.137712 loss=1.619681 lr=0.008213 Epoch[027] Batch [2999]/[3760] Speed: 128.380933 samples/sec accuracy=60.139583 loss=1.619877 lr=0.008211 Epoch[027] Batch [3049]/[3760] Speed: 130.814784 samples/sec accuracy=60.113217 loss=1.620887 lr=0.008209 Epoch[027] Batch [3099]/[3760] Speed: 139.703127 samples/sec accuracy=60.083165 loss=1.622356 lr=0.008208 Epoch[027] Batch 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accuracy=59.996962 loss=1.628225 lr=0.008192 Epoch[027] Batch [3649]/[3760] Speed: 136.343072 samples/sec accuracy=59.974743 loss=1.628514 lr=0.008190 Epoch[027] Batch [3699]/[3760] Speed: 123.248761 samples/sec accuracy=59.955236 loss=1.629026 lr=0.008188 Epoch[027] Batch [3749]/[3760] Speed: 156.820260 samples/sec accuracy=59.927917 loss=1.630331 lr=0.008187 Batch [0049]/[0303]: acc-top1=53.875000 acc-top5=78.437500 Batch [0099]/[0303]: acc-top1=54.375000 acc-top5=78.500000 Batch [0149]/[0303]: acc-top1=54.843750 acc-top5=78.479167 Batch [0199]/[0303]: acc-top1=54.546875 acc-top5=78.468750 Batch [0249]/[0303]: acc-top1=54.612500 acc-top5=78.431250 Batch [0299]/[0303]: acc-top1=54.723958 acc-top5=78.697917 [Epoch 027] training: accuracy=59.931848 loss=1.630171 [Epoch 027] speed: 130 samples/sec time cost: 2024.934991 [Epoch 027] validation: acc-top1=54.718441 acc-top5=78.676774 loss=2.179070 Epoch[028] Batch [0049]/[3760] Speed: 96.414119 samples/sec accuracy=61.375000 loss=1.564616 lr=0.008185 Epoch[028] Batch [0099]/[3760] Speed: 140.031750 samples/sec accuracy=60.296875 loss=1.615751 lr=0.008183 Epoch[028] Batch [0149]/[3760] Speed: 119.889584 samples/sec accuracy=60.218750 loss=1.604653 lr=0.008182 Epoch[028] Batch [0199]/[3760] Speed: 137.248076 samples/sec accuracy=60.492188 loss=1.595258 lr=0.008180 Epoch[028] Batch [0249]/[3760] Speed: 127.586939 samples/sec accuracy=60.500000 loss=1.590282 lr=0.008178 Epoch[028] Batch [0299]/[3760] Speed: 135.896428 samples/sec accuracy=60.828125 loss=1.584230 lr=0.008177 Epoch[028] Batch [0349]/[3760] Speed: 125.357426 samples/sec accuracy=60.848214 loss=1.582935 lr=0.008175 Epoch[028] Batch [0399]/[3760] Speed: 140.133415 samples/sec accuracy=60.964844 loss=1.580096 lr=0.008174 Epoch[028] Batch [0449]/[3760] Speed: 121.198975 samples/sec accuracy=61.020833 loss=1.580602 lr=0.008172 Epoch[028] Batch [0499]/[3760] Speed: 138.391882 samples/sec accuracy=60.921875 loss=1.583133 lr=0.008170 Epoch[028] Batch [0549]/[3760] 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accuracy=60.303172 loss=1.611421 lr=0.008077 Epoch[028] Batch [3399]/[3760] Speed: 143.843581 samples/sec accuracy=60.290901 loss=1.611753 lr=0.008076 Epoch[028] Batch [3449]/[3760] Speed: 120.589077 samples/sec accuracy=60.307518 loss=1.611258 lr=0.008074 Epoch[028] Batch [3499]/[3760] Speed: 140.756845 samples/sec accuracy=60.276786 loss=1.612455 lr=0.008072 Epoch[028] Batch [3549]/[3760] Speed: 131.882246 samples/sec accuracy=60.289613 loss=1.612336 lr=0.008071 Epoch[028] Batch [3599]/[3760] Speed: 122.636709 samples/sec accuracy=60.273438 loss=1.612499 lr=0.008069 Epoch[028] Batch [3649]/[3760] Speed: 138.625747 samples/sec accuracy=60.275685 loss=1.612143 lr=0.008068 Epoch[028] Batch [3699]/[3760] Speed: 127.397812 samples/sec accuracy=60.253378 loss=1.612947 lr=0.008066 Epoch[028] Batch [3749]/[3760] Speed: 153.816472 samples/sec accuracy=60.232500 loss=1.614234 lr=0.008064 Batch [0049]/[0303]: acc-top1=55.375000 acc-top5=79.625000 Batch [0099]/[0303]: acc-top1=55.140625 acc-top5=79.593750 Batch [0149]/[0303]: acc-top1=55.614583 acc-top5=79.500000 Batch [0199]/[0303]: acc-top1=55.500000 acc-top5=79.570312 Batch [0249]/[0303]: acc-top1=55.456250 acc-top5=79.468750 Batch [0299]/[0303]: acc-top1=55.750000 acc-top5=79.744792 [Epoch 028] training: accuracy=60.225648 loss=1.614344 [Epoch 028] speed: 131 samples/sec time cost: 2020.801286 [Epoch 028] validation: acc-top1=55.765264 acc-top5=79.708127 loss=2.064256 Epoch[029] Batch [0049]/[3759] Speed: 93.276069 samples/sec accuracy=61.687500 loss=1.570004 lr=0.008062 Epoch[029] Batch [0099]/[3759] Speed: 158.420116 samples/sec accuracy=61.375000 loss=1.573333 lr=0.008061 Epoch[029] Batch [0149]/[3759] Speed: 114.964059 samples/sec accuracy=61.385417 loss=1.580262 lr=0.008059 Epoch[029] Batch [0199]/[3759] Speed: 133.758615 samples/sec accuracy=61.281250 loss=1.574373 lr=0.008057 Epoch[029] Batch [0249]/[3759] Speed: 127.900929 samples/sec accuracy=61.068750 loss=1.582393 lr=0.008056 Epoch[029] Batch 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accuracy=60.648185 loss=1.597907 lr=0.007961 Epoch[029] Batch [3149]/[3759] Speed: 130.610216 samples/sec accuracy=60.638393 loss=1.598375 lr=0.007959 Epoch[029] Batch [3199]/[3759] Speed: 131.142584 samples/sec accuracy=60.616699 loss=1.599243 lr=0.007957 Epoch[029] Batch [3249]/[3759] Speed: 127.605613 samples/sec accuracy=60.597115 loss=1.600124 lr=0.007955 Epoch[029] Batch [3299]/[3759] Speed: 135.915268 samples/sec accuracy=60.592330 loss=1.599864 lr=0.007954 Epoch[029] Batch [3349]/[3759] Speed: 126.863954 samples/sec accuracy=60.596082 loss=1.599799 lr=0.007952 Epoch[029] Batch [3399]/[3759] Speed: 125.539427 samples/sec accuracy=60.598346 loss=1.599980 lr=0.007950 Epoch[029] Batch [3449]/[3759] Speed: 138.151353 samples/sec accuracy=60.557518 loss=1.601343 lr=0.007949 Epoch[029] Batch [3499]/[3759] Speed: 123.089252 samples/sec accuracy=60.557143 loss=1.601438 lr=0.007947 Epoch[029] Batch [3549]/[3759] Speed: 136.863771 samples/sec accuracy=60.559859 loss=1.601681 lr=0.007945 Epoch[029] Batch [3599]/[3759] Speed: 128.042143 samples/sec accuracy=60.555122 loss=1.601759 lr=0.007944 Epoch[029] Batch [3649]/[3759] Speed: 133.439663 samples/sec accuracy=60.550514 loss=1.601823 lr=0.007942 Epoch[029] Batch [3699]/[3759] Speed: 131.012134 samples/sec accuracy=60.516047 loss=1.602638 lr=0.007940 Epoch[029] Batch [3749]/[3759] Speed: 154.177637 samples/sec accuracy=60.520417 loss=1.602727 lr=0.007939 Batch [0049]/[0303]: acc-top1=55.343750 acc-top5=79.062500 Batch [0099]/[0303]: acc-top1=54.781250 acc-top5=78.921875 Batch [0149]/[0303]: acc-top1=55.156250 acc-top5=78.885417 Batch [0199]/[0303]: acc-top1=55.187500 acc-top5=79.109375 Batch [0249]/[0303]: acc-top1=55.212500 acc-top5=79.193750 Batch [0299]/[0303]: acc-top1=55.427083 acc-top5=79.432292 [Epoch 029] training: accuracy=60.520584 loss=1.602737 [Epoch 029] speed: 130 samples/sec time cost: 2024.759961 [Epoch 029] validation: acc-top1=55.383663 acc-top5=79.429662 loss=2.111614 Epoch[030] Batch [0049]/[3760] 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accuracy=61.016447 loss=1.576578 lr=0.007841 Epoch[030] Batch [2899]/[3760] Speed: 137.964212 samples/sec accuracy=61.022629 loss=1.576886 lr=0.007839 Epoch[030] Batch [2949]/[3760] Speed: 131.170815 samples/sec accuracy=61.010593 loss=1.576943 lr=0.007838 Epoch[030] Batch [2999]/[3760] Speed: 130.805911 samples/sec accuracy=61.028646 loss=1.576397 lr=0.007836 Epoch[030] Batch [3049]/[3760] Speed: 136.225507 samples/sec accuracy=61.024078 loss=1.575945 lr=0.007834 Epoch[030] Batch [3099]/[3760] Speed: 132.498564 samples/sec accuracy=61.001512 loss=1.576870 lr=0.007832 Epoch[030] Batch [3149]/[3760] Speed: 131.791898 samples/sec accuracy=61.007440 loss=1.577271 lr=0.007831 Epoch[030] Batch [3199]/[3760] Speed: 130.973689 samples/sec accuracy=60.981934 loss=1.578610 lr=0.007829 Epoch[030] Batch [3249]/[3760] Speed: 131.041326 samples/sec accuracy=60.985096 loss=1.579085 lr=0.007827 Epoch[030] Batch [3299]/[3760] Speed: 130.613712 samples/sec accuracy=60.990530 loss=1.579312 lr=0.007826 Epoch[030] Batch [3349]/[3760] Speed: 133.253573 samples/sec accuracy=60.976679 loss=1.578721 lr=0.007824 Epoch[030] Batch [3399]/[3760] Speed: 126.568932 samples/sec accuracy=60.981618 loss=1.578892 lr=0.007822 Epoch[030] Batch [3449]/[3760] Speed: 133.936730 samples/sec accuracy=60.966486 loss=1.579254 lr=0.007820 Epoch[030] Batch [3499]/[3760] Speed: 127.954538 samples/sec accuracy=60.942857 loss=1.580541 lr=0.007819 Epoch[030] Batch [3549]/[3760] Speed: 139.765448 samples/sec accuracy=60.943662 loss=1.580997 lr=0.007817 Epoch[030] Batch [3599]/[3760] Speed: 124.357997 samples/sec accuracy=60.934462 loss=1.581288 lr=0.007815 Epoch[030] Batch [3649]/[3760] Speed: 140.672730 samples/sec accuracy=60.914384 loss=1.582086 lr=0.007814 Epoch[030] Batch [3699]/[3760] Speed: 125.664922 samples/sec accuracy=60.909206 loss=1.582348 lr=0.007812 Epoch[030] Batch [3749]/[3760] Speed: 150.563582 samples/sec accuracy=60.923750 loss=1.581786 lr=0.007810 Batch [0049]/[0303]: acc-top1=54.593750 acc-top5=78.968750 Batch [0099]/[0303]: acc-top1=54.859375 acc-top5=79.375000 Batch [0149]/[0303]: acc-top1=55.479167 acc-top5=79.645833 Batch [0199]/[0303]: acc-top1=55.500000 acc-top5=79.757812 Batch [0249]/[0303]: acc-top1=55.487500 acc-top5=79.512500 Batch [0299]/[0303]: acc-top1=55.687500 acc-top5=79.588542 [Epoch 030] training: accuracy=60.924202 loss=1.581803 [Epoch 030] speed: 131 samples/sec time cost: 2021.838544 [Epoch 030] validation: acc-top1=55.693069 acc-top5=79.604992 loss=2.117037 Epoch[031] Batch [0049]/[3760] Speed: 95.649489 samples/sec accuracy=63.156250 loss=1.469405 lr=0.007808 Epoch[031] Batch [0099]/[3760] Speed: 153.530430 samples/sec accuracy=62.687500 loss=1.496771 lr=0.007806 Epoch[031] Batch [0149]/[3760] Speed: 113.322340 samples/sec accuracy=62.760417 loss=1.504943 lr=0.007805 Epoch[031] Batch [0199]/[3760] Speed: 152.991755 samples/sec accuracy=62.429688 loss=1.518868 lr=0.007803 Epoch[031] Batch [0249]/[3760] Speed: 114.647788 samples/sec accuracy=62.593750 loss=1.517659 lr=0.007801 Epoch[031] Batch [0299]/[3760] Speed: 132.885861 samples/sec accuracy=62.515625 loss=1.516743 lr=0.007799 Epoch[031] Batch [0349]/[3760] Speed: 131.889349 samples/sec accuracy=62.455357 loss=1.517483 lr=0.007798 Epoch[031] Batch [0399]/[3760] Speed: 146.359937 samples/sec accuracy=62.292969 loss=1.521968 lr=0.007796 Epoch[031] Batch [0449]/[3760] Speed: 122.472389 samples/sec accuracy=62.399306 loss=1.518150 lr=0.007794 Epoch[031] Batch [0499]/[3760] Speed: 127.075650 samples/sec accuracy=62.428125 loss=1.516977 lr=0.007792 Epoch[031] Batch [0549]/[3760] Speed: 136.149221 samples/sec accuracy=62.250000 loss=1.519367 lr=0.007791 Epoch[031] Batch [0599]/[3760] Speed: 126.814081 samples/sec accuracy=62.127604 loss=1.521655 lr=0.007789 Epoch[031] Batch [0649]/[3760] Speed: 141.624913 samples/sec accuracy=62.079327 loss=1.525135 lr=0.007787 Epoch[031] Batch [0699]/[3760] Speed: 122.577535 samples/sec accuracy=62.024554 loss=1.527437 lr=0.007785 Epoch[031] Batch [0749]/[3760] Speed: 147.652647 samples/sec accuracy=61.995833 loss=1.530644 lr=0.007784 Epoch[031] Batch [0799]/[3760] Speed: 120.776782 samples/sec accuracy=61.847656 loss=1.535754 lr=0.007782 Epoch[031] Batch [0849]/[3760] Speed: 139.812410 samples/sec accuracy=61.731618 loss=1.540039 lr=0.007780 Epoch[031] Batch [0899]/[3760] Speed: 120.667802 samples/sec accuracy=61.711806 loss=1.541025 lr=0.007779 Epoch[031] Batch [0949]/[3760] Speed: 145.143083 samples/sec accuracy=61.677632 loss=1.544021 lr=0.007777 Epoch[031] Batch [0999]/[3760] Speed: 128.977476 samples/sec accuracy=61.725000 loss=1.543426 lr=0.007775 Epoch[031] Batch [1049]/[3760] Speed: 129.929337 samples/sec accuracy=61.715774 loss=1.544571 lr=0.007773 Epoch[031] Batch [1099]/[3760] Speed: 125.416733 samples/sec accuracy=61.698864 loss=1.545859 lr=0.007772 Epoch[031] Batch [1149]/[3760] Speed: 129.498074 samples/sec accuracy=61.701087 loss=1.545211 lr=0.007770 Epoch[031] Batch [1199]/[3760] Speed: 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loss=1.555747 lr=0.007752 Epoch[031] Batch [1699]/[3760] Speed: 127.975294 samples/sec accuracy=61.525735 loss=1.556073 lr=0.007751 Epoch[031] Batch [1749]/[3760] Speed: 132.331363 samples/sec accuracy=61.490179 loss=1.557471 lr=0.007749 Epoch[031] Batch [1799]/[3760] Speed: 136.700158 samples/sec accuracy=61.471354 loss=1.558250 lr=0.007747 Epoch[031] Batch [1849]/[3760] Speed: 131.484477 samples/sec accuracy=61.456926 loss=1.558544 lr=0.007745 Epoch[031] Batch [1899]/[3760] Speed: 126.613810 samples/sec accuracy=61.422697 loss=1.559015 lr=0.007744 Epoch[031] Batch [1949]/[3760] Speed: 137.161840 samples/sec accuracy=61.409455 loss=1.559926 lr=0.007742 Epoch[031] Batch [1999]/[3760] Speed: 124.927447 samples/sec accuracy=61.376562 loss=1.561524 lr=0.007740 Epoch[031] Batch [2049]/[3760] Speed: 140.440370 samples/sec accuracy=61.371189 loss=1.562177 lr=0.007738 Epoch[031] Batch [2099]/[3760] Speed: 121.945663 samples/sec accuracy=61.416667 loss=1.560214 lr=0.007737 Epoch[031] Batch 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accuracy=61.357572 loss=1.563525 lr=0.007719 Epoch[031] Batch [2649]/[3760] Speed: 124.414996 samples/sec accuracy=61.343750 loss=1.563814 lr=0.007717 Epoch[031] Batch [2699]/[3760] Speed: 126.085466 samples/sec accuracy=61.344907 loss=1.563871 lr=0.007716 Epoch[031] Batch [2749]/[3760] Speed: 138.954637 samples/sec accuracy=61.352273 loss=1.563649 lr=0.007714 Epoch[031] Batch [2799]/[3760] Speed: 129.867460 samples/sec accuracy=61.373326 loss=1.563542 lr=0.007712 Epoch[031] Batch [2849]/[3760] Speed: 130.303138 samples/sec accuracy=61.394189 loss=1.562177 lr=0.007710 Epoch[031] Batch [2899]/[3760] Speed: 135.547053 samples/sec accuracy=61.415948 loss=1.561642 lr=0.007709 Epoch[031] Batch [2949]/[3760] Speed: 122.075159 samples/sec accuracy=61.420021 loss=1.561629 lr=0.007707 Epoch[031] Batch [2999]/[3760] Speed: 142.486373 samples/sec accuracy=61.403646 loss=1.562308 lr=0.007705 Epoch[031] Batch [3049]/[3760] Speed: 126.161494 samples/sec accuracy=61.382684 loss=1.563702 lr=0.007703 Epoch[031] Batch [3099]/[3760] Speed: 142.019067 samples/sec accuracy=61.383065 loss=1.563314 lr=0.007702 Epoch[031] Batch [3149]/[3760] Speed: 117.044936 samples/sec accuracy=61.401786 loss=1.563385 lr=0.007700 Epoch[031] Batch [3199]/[3760] Speed: 144.156100 samples/sec accuracy=61.360840 loss=1.565526 lr=0.007698 Epoch[031] Batch [3249]/[3760] Speed: 124.151969 samples/sec accuracy=61.344231 loss=1.566359 lr=0.007696 Epoch[031] Batch [3299]/[3760] Speed: 138.111818 samples/sec accuracy=61.345170 loss=1.566160 lr=0.007695 Epoch[031] Batch [3349]/[3760] Speed: 122.988690 samples/sec accuracy=61.331623 loss=1.566945 lr=0.007693 Epoch[031] Batch [3399]/[3760] Speed: 151.456619 samples/sec accuracy=61.319853 loss=1.567681 lr=0.007691 Epoch[031] Batch [3449]/[3760] Speed: 123.665655 samples/sec accuracy=61.334692 loss=1.567698 lr=0.007689 Epoch[031] Batch [3499]/[3760] Speed: 138.272359 samples/sec accuracy=61.328125 loss=1.567695 lr=0.007688 Epoch[031] Batch [3549]/[3760] Speed: 120.793994 samples/sec accuracy=61.314701 loss=1.568407 lr=0.007686 Epoch[031] Batch [3599]/[3760] Speed: 132.063651 samples/sec accuracy=61.329427 loss=1.568579 lr=0.007684 Epoch[031] Batch [3649]/[3760] Speed: 132.747536 samples/sec accuracy=61.315068 loss=1.569049 lr=0.007682 Epoch[031] Batch [3699]/[3760] Speed: 136.487528 samples/sec accuracy=61.289274 loss=1.570318 lr=0.007680 Epoch[031] Batch [3749]/[3760] Speed: 143.259995 samples/sec accuracy=61.282500 loss=1.570267 lr=0.007679 Batch [0049]/[0303]: acc-top1=54.750000 acc-top5=78.750000 Batch [0099]/[0303]: acc-top1=54.671875 acc-top5=78.937500 Batch [0149]/[0303]: acc-top1=55.333333 acc-top5=79.031250 Batch [0199]/[0303]: acc-top1=55.453125 acc-top5=79.109375 Batch [0249]/[0303]: acc-top1=55.493750 acc-top5=79.231250 Batch [0299]/[0303]: acc-top1=55.859375 acc-top5=79.583333 [Epoch 031] training: accuracy=61.275765 loss=1.570442 [Epoch 031] speed: 131 samples/sec time cost: 2023.295824 [Epoch 031] validation: acc-top1=55.852929 acc-top5=79.548267 loss=2.082163 Epoch[032] Batch [0049]/[3759] Speed: 94.570997 samples/sec accuracy=63.281250 loss=1.470489 lr=0.007677 Epoch[032] Batch [0099]/[3759] Speed: 155.944403 samples/sec accuracy=63.812500 loss=1.465110 lr=0.007675 Epoch[032] Batch [0149]/[3759] Speed: 113.560019 samples/sec accuracy=63.947917 loss=1.455981 lr=0.007673 Epoch[032] Batch [0199]/[3759] Speed: 153.660759 samples/sec accuracy=63.421875 loss=1.478289 lr=0.007671 Epoch[032] Batch [0249]/[3759] Speed: 114.489448 samples/sec accuracy=63.168750 loss=1.490056 lr=0.007670 Epoch[032] Batch [0299]/[3759] Speed: 147.350140 samples/sec accuracy=62.859375 loss=1.502743 lr=0.007668 Epoch[032] Batch [0349]/[3759] Speed: 119.482387 samples/sec accuracy=62.906250 loss=1.503448 lr=0.007666 Epoch[032] Batch [0399]/[3759] Speed: 139.742195 samples/sec accuracy=62.773437 loss=1.505719 lr=0.007664 Epoch[032] Batch [0449]/[3759] Speed: 131.740370 samples/sec accuracy=62.739583 loss=1.505158 lr=0.007662 Epoch[032] Batch [0499]/[3759] Speed: 132.148765 samples/sec accuracy=62.590625 loss=1.510961 lr=0.007661 Epoch[032] Batch [0549]/[3759] Speed: 125.923860 samples/sec accuracy=62.471591 loss=1.513560 lr=0.007659 Epoch[032] Batch [0599]/[3759] Speed: 129.606109 samples/sec accuracy=62.515625 loss=1.514038 lr=0.007657 Epoch[032] Batch [0649]/[3759] Speed: 126.903780 samples/sec accuracy=62.425481 loss=1.514555 lr=0.007655 Epoch[032] Batch [0699]/[3759] Speed: 138.989155 samples/sec accuracy=62.419643 loss=1.516923 lr=0.007654 Epoch[032] Batch [0749]/[3759] Speed: 127.739371 samples/sec accuracy=62.366667 loss=1.518332 lr=0.007652 Epoch[032] Batch [0799]/[3759] Speed: 131.947721 samples/sec accuracy=62.294922 loss=1.520213 lr=0.007650 Epoch[032] Batch [0849]/[3759] Speed: 140.822539 samples/sec accuracy=62.235294 loss=1.522035 lr=0.007648 Epoch[032] Batch [0899]/[3759] Speed: 129.726746 samples/sec accuracy=62.244792 loss=1.521658 lr=0.007647 Epoch[032] Batch [0949]/[3759] 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accuracy=61.927455 loss=1.535254 lr=0.007629 Epoch[032] Batch [1449]/[3759] Speed: 145.493111 samples/sec accuracy=61.879310 loss=1.536705 lr=0.007627 Epoch[032] Batch [1499]/[3759] Speed: 118.669932 samples/sec accuracy=61.872917 loss=1.537752 lr=0.007625 Epoch[032] Batch [1549]/[3759] Speed: 147.798849 samples/sec accuracy=61.863911 loss=1.536922 lr=0.007623 Epoch[032] Batch [1599]/[3759] Speed: 120.609421 samples/sec accuracy=61.887695 loss=1.536445 lr=0.007622 Epoch[032] Batch [1649]/[3759] Speed: 135.039779 samples/sec accuracy=61.890152 loss=1.535917 lr=0.007620 Epoch[032] Batch [1699]/[3759] Speed: 136.442771 samples/sec accuracy=61.941176 loss=1.534231 lr=0.007618 Epoch[032] Batch [1749]/[3759] Speed: 123.576710 samples/sec accuracy=61.936607 loss=1.534546 lr=0.007616 Epoch[032] Batch [1799]/[3759] Speed: 137.541824 samples/sec accuracy=61.869792 loss=1.536658 lr=0.007615 Epoch[032] Batch [1849]/[3759] Speed: 126.961596 samples/sec accuracy=61.853885 loss=1.538270 lr=0.007613 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loss=1.539315 lr=0.007579 Epoch[032] Batch [2849]/[3759] Speed: 114.567418 samples/sec accuracy=61.843202 loss=1.539974 lr=0.007577 Epoch[032] Batch [2899]/[3759] Speed: 148.109503 samples/sec accuracy=61.825970 loss=1.540853 lr=0.007575 Epoch[032] Batch [2949]/[3759] Speed: 121.351332 samples/sec accuracy=61.827331 loss=1.540966 lr=0.007573 Epoch[032] Batch [2999]/[3759] Speed: 134.697598 samples/sec accuracy=61.818229 loss=1.541130 lr=0.007572 Epoch[032] Batch [3049]/[3759] Speed: 136.051346 samples/sec accuracy=61.813525 loss=1.541756 lr=0.007570 Epoch[032] Batch [3099]/[3759] Speed: 125.824340 samples/sec accuracy=61.795363 loss=1.542452 lr=0.007568 Epoch[032] Batch [3149]/[3759] Speed: 142.904395 samples/sec accuracy=61.767361 loss=1.543599 lr=0.007566 Epoch[032] Batch [3199]/[3759] Speed: 118.991070 samples/sec accuracy=61.751465 loss=1.543902 lr=0.007565 Epoch[032] Batch [3249]/[3759] Speed: 144.302998 samples/sec accuracy=61.754327 loss=1.544248 lr=0.007563 Epoch[032] Batch 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accuracy=61.671667 loss=1.549743 lr=0.007545 Batch [0049]/[0303]: acc-top1=55.781250 acc-top5=79.437500 Batch [0099]/[0303]: acc-top1=54.750000 acc-top5=79.171875 Batch [0149]/[0303]: acc-top1=55.260417 acc-top5=79.104167 Batch [0199]/[0303]: acc-top1=55.078125 acc-top5=79.226562 Batch [0249]/[0303]: acc-top1=55.012500 acc-top5=79.137500 Batch [0299]/[0303]: acc-top1=55.312500 acc-top5=79.364583 [Epoch 032] training: accuracy=61.666168 loss=1.550157 [Epoch 032] speed: 131 samples/sec time cost: 2019.787188 [Epoch 032] validation: acc-top1=55.295998 acc-top5=79.336840 loss=2.129164 Epoch[033] Batch [0049]/[3760] Speed: 95.239423 samples/sec accuracy=62.937500 loss=1.508514 lr=0.007543 Epoch[033] Batch [0099]/[3760] Speed: 154.118471 samples/sec accuracy=62.828125 loss=1.479211 lr=0.007541 Epoch[033] Batch [0149]/[3760] Speed: 113.983987 samples/sec accuracy=62.937500 loss=1.480457 lr=0.007539 Epoch[033] Batch [0199]/[3760] Speed: 133.494756 samples/sec accuracy=62.640625 loss=1.496912 lr=0.007537 Epoch[033] Batch [0249]/[3760] Speed: 122.742858 samples/sec accuracy=62.393750 loss=1.508198 lr=0.007535 Epoch[033] Batch [0299]/[3760] Speed: 140.145358 samples/sec accuracy=62.286458 loss=1.506943 lr=0.007534 Epoch[033] Batch [0349]/[3760] Speed: 129.085639 samples/sec accuracy=62.325893 loss=1.507688 lr=0.007532 Epoch[033] Batch [0399]/[3760] Speed: 138.735465 samples/sec accuracy=62.515625 loss=1.504734 lr=0.007530 Epoch[033] Batch [0449]/[3760] Speed: 125.980354 samples/sec accuracy=62.510417 loss=1.504611 lr=0.007528 Epoch[033] Batch [0499]/[3760] Speed: 132.318278 samples/sec accuracy=62.434375 loss=1.508796 lr=0.007526 Epoch[033] Batch [0549]/[3760] Speed: 128.945258 samples/sec accuracy=62.355114 loss=1.510949 lr=0.007525 Epoch[033] Batch [0599]/[3760] Speed: 131.112851 samples/sec accuracy=62.367188 loss=1.508030 lr=0.007523 Epoch[033] Batch [0649]/[3760] Speed: 131.442783 samples/sec accuracy=62.406250 loss=1.509296 lr=0.007521 Epoch[033] Batch [0699]/[3760] Speed: 125.769591 samples/sec accuracy=62.439732 loss=1.507902 lr=0.007519 Epoch[033] Batch [0749]/[3760] Speed: 132.226026 samples/sec accuracy=62.391667 loss=1.511335 lr=0.007517 Epoch[033] Batch [0799]/[3760] Speed: 132.123606 samples/sec accuracy=62.353516 loss=1.513325 lr=0.007516 Epoch[033] Batch [0849]/[3760] Speed: 135.981954 samples/sec accuracy=62.325368 loss=1.514513 lr=0.007514 Epoch[033] Batch [0899]/[3760] Speed: 123.981116 samples/sec accuracy=62.321181 loss=1.516009 lr=0.007512 Epoch[033] Batch [0949]/[3760] Speed: 144.359040 samples/sec accuracy=62.315789 loss=1.515884 lr=0.007510 Epoch[033] Batch [0999]/[3760] Speed: 120.165014 samples/sec accuracy=62.203125 loss=1.517634 lr=0.007508 Epoch[033] Batch [1049]/[3760] Speed: 139.175277 samples/sec accuracy=62.138393 loss=1.519969 lr=0.007507 Epoch[033] Batch [1099]/[3760] Speed: 131.865015 samples/sec accuracy=62.208807 loss=1.517520 lr=0.007505 Epoch[033] Batch [1149]/[3760] Speed: 129.548203 samples/sec accuracy=62.241848 loss=1.516393 lr=0.007503 Epoch[033] Batch [1199]/[3760] Speed: 134.934109 samples/sec accuracy=62.191406 loss=1.517591 lr=0.007501 Epoch[033] Batch [1249]/[3760] Speed: 127.308556 samples/sec accuracy=62.218750 loss=1.516429 lr=0.007499 Epoch[033] Batch [1299]/[3760] Speed: 125.266284 samples/sec accuracy=62.260817 loss=1.514499 lr=0.007498 Epoch[033] Batch [1349]/[3760] Speed: 135.809201 samples/sec accuracy=62.196759 loss=1.516164 lr=0.007496 Epoch[033] Batch [1399]/[3760] Speed: 122.943539 samples/sec accuracy=62.148438 loss=1.519203 lr=0.007494 Epoch[033] Batch [1449]/[3760] Speed: 142.190482 samples/sec accuracy=62.122845 loss=1.521022 lr=0.007492 Epoch[033] Batch [1499]/[3760] Speed: 126.377343 samples/sec accuracy=62.145833 loss=1.520892 lr=0.007490 Epoch[033] Batch [1549]/[3760] Speed: 129.485834 samples/sec accuracy=62.133065 loss=1.522081 lr=0.007488 Epoch[033] Batch [1599]/[3760] Speed: 136.925959 samples/sec accuracy=62.094727 loss=1.523257 lr=0.007487 Epoch[033] Batch [1649]/[3760] Speed: 129.682172 samples/sec accuracy=62.071023 loss=1.523857 lr=0.007485 Epoch[033] Batch [1699]/[3760] Speed: 125.908888 samples/sec accuracy=62.075368 loss=1.524239 lr=0.007483 Epoch[033] Batch [1749]/[3760] Speed: 133.209743 samples/sec accuracy=62.021429 loss=1.526963 lr=0.007481 Epoch[033] Batch [1799]/[3760] Speed: 131.918860 samples/sec accuracy=62.019097 loss=1.527392 lr=0.007479 Epoch[033] Batch [1849]/[3760] Speed: 135.434298 samples/sec accuracy=62.020270 loss=1.528423 lr=0.007478 Epoch[033] Batch [1899]/[3760] Speed: 135.079393 samples/sec accuracy=61.990132 loss=1.528785 lr=0.007476 Epoch[033] Batch [1949]/[3760] Speed: 126.237114 samples/sec accuracy=61.977564 loss=1.529739 lr=0.007474 Epoch[033] Batch [1999]/[3760] Speed: 129.677148 samples/sec accuracy=61.939844 loss=1.531839 lr=0.007472 Epoch[033] Batch [2049]/[3760] Speed: 132.210499 samples/sec accuracy=61.891006 loss=1.533202 lr=0.007470 Epoch[033] Batch [2099]/[3760] Speed: 127.232927 samples/sec accuracy=61.894345 loss=1.534337 lr=0.007469 Epoch[033] Batch [2149]/[3760] Speed: 133.115712 samples/sec accuracy=61.879360 loss=1.534695 lr=0.007467 Epoch[033] Batch [2199]/[3760] Speed: 132.513733 samples/sec accuracy=61.887074 loss=1.536034 lr=0.007465 Epoch[033] Batch [2249]/[3760] Speed: 127.759316 samples/sec accuracy=61.917361 loss=1.535451 lr=0.007463 Epoch[033] Batch [2299]/[3760] Speed: 146.175628 samples/sec accuracy=61.927989 loss=1.535177 lr=0.007461 Epoch[033] Batch [2349]/[3760] Speed: 115.431172 samples/sec accuracy=61.938165 loss=1.535071 lr=0.007459 Epoch[033] Batch [2399]/[3760] Speed: 156.935743 samples/sec accuracy=61.943359 loss=1.535568 lr=0.007458 Epoch[033] Batch [2449]/[3760] Speed: 113.073235 samples/sec accuracy=61.918367 loss=1.536738 lr=0.007456 Epoch[033] Batch [2499]/[3760] Speed: 150.466596 samples/sec accuracy=61.941250 loss=1.536127 lr=0.007454 Epoch[033] Batch [2549]/[3760] Speed: 114.472161 samples/sec accuracy=61.932598 loss=1.535865 lr=0.007452 Epoch[033] Batch [2599]/[3760] Speed: 155.204987 samples/sec accuracy=61.904447 loss=1.536877 lr=0.007450 Epoch[033] Batch [2649]/[3760] Speed: 108.262882 samples/sec accuracy=61.896816 loss=1.537817 lr=0.007448 Epoch[033] Batch [2699]/[3760] Speed: 159.709380 samples/sec accuracy=61.885995 loss=1.538486 lr=0.007447 Epoch[033] Batch [2749]/[3760] Speed: 113.502424 samples/sec accuracy=61.862500 loss=1.539453 lr=0.007445 Epoch[033] Batch [2799]/[3760] Speed: 143.615192 samples/sec accuracy=61.858259 loss=1.539923 lr=0.007443 Epoch[033] Batch [2849]/[3760] Speed: 126.401941 samples/sec accuracy=61.851425 loss=1.540210 lr=0.007441 Epoch[033] Batch [2899]/[3760] Speed: 135.859223 samples/sec accuracy=61.865302 loss=1.540222 lr=0.007439 Epoch[033] Batch [2949]/[3760] Speed: 135.377945 samples/sec accuracy=61.867585 loss=1.540258 lr=0.007438 Epoch[033] Batch [2999]/[3760] Speed: 124.758803 samples/sec accuracy=61.866667 loss=1.540094 lr=0.007436 Epoch[033] Batch [3049]/[3760] Speed: 125.536102 samples/sec accuracy=61.820697 loss=1.541976 lr=0.007434 Epoch[033] Batch [3099]/[3760] Speed: 142.864926 samples/sec accuracy=61.793851 loss=1.542749 lr=0.007432 Epoch[033] Batch [3149]/[3760] Speed: 132.555455 samples/sec accuracy=61.770337 loss=1.543870 lr=0.007430 Epoch[033] Batch [3199]/[3760] Speed: 124.707430 samples/sec accuracy=61.781738 loss=1.543582 lr=0.007428 Epoch[033] Batch [3249]/[3760] Speed: 135.952746 samples/sec accuracy=61.795192 loss=1.543345 lr=0.007427 Epoch[033] Batch [3299]/[3760] Speed: 126.969620 samples/sec accuracy=61.788352 loss=1.543613 lr=0.007425 Epoch[033] Batch [3349]/[3760] Speed: 138.271068 samples/sec accuracy=61.770056 loss=1.544116 lr=0.007423 Epoch[033] Batch [3399]/[3760] Speed: 130.176498 samples/sec accuracy=61.772059 loss=1.544570 lr=0.007421 Epoch[033] Batch [3449]/[3760] Speed: 131.669156 samples/sec accuracy=61.747736 loss=1.545582 lr=0.007419 Epoch[033] Batch [3499]/[3760] Speed: 126.943729 samples/sec accuracy=61.737054 loss=1.546022 lr=0.007417 Epoch[033] Batch [3549]/[3760] Speed: 139.994532 samples/sec accuracy=61.744718 loss=1.545624 lr=0.007416 Epoch[033] Batch [3599]/[3760] Speed: 126.926720 samples/sec accuracy=61.729167 loss=1.546346 lr=0.007414 Epoch[033] Batch [3649]/[3760] Speed: 130.547745 samples/sec accuracy=61.730308 loss=1.546317 lr=0.007412 Epoch[033] Batch [3699]/[3760] Speed: 135.067959 samples/sec accuracy=61.733530 loss=1.545983 lr=0.007410 Epoch[033] Batch [3749]/[3760] Speed: 142.898234 samples/sec accuracy=61.717917 loss=1.546139 lr=0.007408 Batch [0049]/[0303]: acc-top1=56.593750 acc-top5=80.812500 Batch [0099]/[0303]: acc-top1=56.015625 acc-top5=80.031250 Batch [0149]/[0303]: acc-top1=56.447917 acc-top5=80.010417 Batch [0199]/[0303]: acc-top1=56.234375 acc-top5=80.039062 Batch [0249]/[0303]: acc-top1=56.512500 acc-top5=79.981250 Batch [0299]/[0303]: acc-top1=56.744792 acc-top5=80.239583 [Epoch 033] training: accuracy=61.722906 loss=1.546066 [Epoch 033] speed: 130 samples/sec time cost: 2026.098705 [Epoch 033] validation: acc-top1=56.755363 acc-top5=80.234117 loss=2.038205 Epoch[034] Batch [0049]/[3759] Speed: 95.661060 samples/sec accuracy=62.250000 loss=1.532716 lr=0.007406 Epoch[034] Batch [0099]/[3759] Speed: 148.996642 samples/sec accuracy=62.250000 loss=1.532017 lr=0.007404 Epoch[034] Batch [0149]/[3759] Speed: 114.724437 samples/sec accuracy=62.656250 loss=1.519656 lr=0.007402 Epoch[034] Batch [0199]/[3759] Speed: 155.348775 samples/sec accuracy=62.773437 loss=1.511041 lr=0.007401 Epoch[034] Batch [0249]/[3759] Speed: 109.820448 samples/sec accuracy=62.800000 loss=1.502220 lr=0.007399 Epoch[034] Batch [0299]/[3759] Speed: 159.688008 samples/sec accuracy=62.927083 loss=1.497580 lr=0.007397 Epoch[034] Batch [0349]/[3759] Speed: 113.855393 samples/sec accuracy=62.910714 loss=1.495374 lr=0.007395 Epoch[034] Batch [0399]/[3759] Speed: 140.819822 samples/sec accuracy=62.781250 loss=1.494936 lr=0.007393 Epoch[034] Batch [0449]/[3759] 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accuracy=62.508681 loss=1.508675 lr=0.007375 Epoch[034] Batch [0949]/[3759] Speed: 125.326591 samples/sec accuracy=62.536184 loss=1.507475 lr=0.007373 Epoch[034] Batch [0999]/[3759] Speed: 133.956965 samples/sec accuracy=62.476562 loss=1.509404 lr=0.007371 Epoch[034] Batch [1049]/[3759] Speed: 127.830190 samples/sec accuracy=62.462798 loss=1.510823 lr=0.007369 Epoch[034] Batch [1099]/[3759] Speed: 137.731187 samples/sec accuracy=62.390625 loss=1.513227 lr=0.007368 Epoch[034] Batch [1149]/[3759] Speed: 123.886070 samples/sec accuracy=62.395380 loss=1.513415 lr=0.007366 Epoch[034] Batch [1199]/[3759] Speed: 137.794251 samples/sec accuracy=62.384115 loss=1.514510 lr=0.007364 Epoch[034] Batch [1249]/[3759] Speed: 126.830494 samples/sec accuracy=62.372500 loss=1.513979 lr=0.007362 Epoch[034] Batch [1299]/[3759] Speed: 134.235763 samples/sec accuracy=62.391827 loss=1.512709 lr=0.007360 Epoch[034] Batch [1349]/[3759] Speed: 122.434428 samples/sec accuracy=62.370370 loss=1.513530 lr=0.007358 Epoch[034] Batch [1399]/[3759] Speed: 140.284296 samples/sec accuracy=62.408482 loss=1.513226 lr=0.007357 Epoch[034] Batch [1449]/[3759] Speed: 121.567824 samples/sec accuracy=62.407328 loss=1.514915 lr=0.007355 Epoch[034] Batch [1499]/[3759] Speed: 147.189173 samples/sec accuracy=62.392708 loss=1.515641 lr=0.007353 Epoch[034] Batch [1549]/[3759] Speed: 121.195572 samples/sec accuracy=62.433468 loss=1.514429 lr=0.007351 Epoch[034] Batch [1599]/[3759] Speed: 143.123865 samples/sec accuracy=62.425781 loss=1.515282 lr=0.007349 Epoch[034] Batch [1649]/[3759] Speed: 123.263641 samples/sec accuracy=62.448864 loss=1.514152 lr=0.007347 Epoch[034] Batch [1699]/[3759] Speed: 143.689617 samples/sec accuracy=62.474265 loss=1.513277 lr=0.007345 Epoch[034] Batch [1749]/[3759] Speed: 123.911249 samples/sec accuracy=62.497321 loss=1.512796 lr=0.007344 Epoch[034] Batch [1799]/[3759] Speed: 137.033698 samples/sec accuracy=62.483507 loss=1.512649 lr=0.007342 Epoch[034] Batch [1849]/[3759] Speed: 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accuracy=62.226442 loss=1.523197 lr=0.007288 Epoch[034] Batch [3299]/[3759] Speed: 141.115448 samples/sec accuracy=62.217330 loss=1.523831 lr=0.007286 Epoch[034] Batch [3349]/[3759] Speed: 120.399001 samples/sec accuracy=62.216884 loss=1.524274 lr=0.007284 Epoch[034] Batch [3399]/[3759] Speed: 138.319258 samples/sec accuracy=62.191636 loss=1.524897 lr=0.007282 Epoch[034] Batch [3449]/[3759] Speed: 124.748285 samples/sec accuracy=62.180707 loss=1.525714 lr=0.007281 Epoch[034] Batch [3499]/[3759] Speed: 136.297467 samples/sec accuracy=62.176339 loss=1.525832 lr=0.007279 Epoch[034] Batch [3549]/[3759] Speed: 127.509953 samples/sec accuracy=62.166813 loss=1.526156 lr=0.007277 Epoch[034] Batch [3599]/[3759] Speed: 131.893499 samples/sec accuracy=62.164931 loss=1.526264 lr=0.007275 Epoch[034] Batch [3649]/[3759] Speed: 127.115074 samples/sec accuracy=62.166952 loss=1.526481 lr=0.007273 Epoch[034] Batch [3699]/[3759] Speed: 142.083452 samples/sec accuracy=62.153294 loss=1.527517 lr=0.007271 Epoch[034] Batch [3749]/[3759] Speed: 148.085764 samples/sec accuracy=62.138333 loss=1.528223 lr=0.007269 Batch [0049]/[0303]: acc-top1=56.156250 acc-top5=79.906250 Batch [0099]/[0303]: acc-top1=55.296875 acc-top5=79.750000 Batch [0149]/[0303]: acc-top1=56.010417 acc-top5=79.687500 Batch [0199]/[0303]: acc-top1=55.531250 acc-top5=79.695312 Batch [0249]/[0303]: acc-top1=55.531250 acc-top5=79.606250 Batch [0299]/[0303]: acc-top1=55.968750 acc-top5=79.942708 [Epoch 034] training: accuracy=62.139615 loss=1.528268 [Epoch 034] speed: 131 samples/sec time cost: 2021.136322 [Epoch 034] validation: acc-top1=55.925124 acc-top5=79.945338 loss=2.070546 Epoch[035] Batch [0049]/[3760] Speed: 95.160347 samples/sec accuracy=62.375000 loss=1.483748 lr=0.007267 Epoch[035] Batch [0099]/[3760] Speed: 122.485275 samples/sec accuracy=62.406250 loss=1.510926 lr=0.007265 Epoch[035] Batch [0149]/[3760] Speed: 139.223529 samples/sec accuracy=62.656250 loss=1.505621 lr=0.007264 Epoch[035] Batch [0199]/[3760] 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accuracy=63.153846 loss=1.483219 lr=0.007245 Epoch[035] Batch [0699]/[3760] Speed: 137.508606 samples/sec accuracy=63.156250 loss=1.484664 lr=0.007243 Epoch[035] Batch [0749]/[3760] Speed: 125.598897 samples/sec accuracy=63.116667 loss=1.486296 lr=0.007241 Epoch[035] Batch [0799]/[3760] Speed: 136.932044 samples/sec accuracy=63.103516 loss=1.488817 lr=0.007239 Epoch[035] Batch [0849]/[3760] Speed: 128.815770 samples/sec accuracy=63.143382 loss=1.488112 lr=0.007237 Epoch[035] Batch [0899]/[3760] Speed: 134.130912 samples/sec accuracy=63.088542 loss=1.490269 lr=0.007236 Epoch[035] Batch [0949]/[3760] Speed: 131.200510 samples/sec accuracy=63.032895 loss=1.491612 lr=0.007234 Epoch[035] Batch [0999]/[3760] Speed: 132.882540 samples/sec accuracy=62.939062 loss=1.494664 lr=0.007232 Epoch[035] Batch [1049]/[3760] Speed: 138.958995 samples/sec accuracy=62.950893 loss=1.492576 lr=0.007230 Epoch[035] Batch [1099]/[3760] Speed: 122.822778 samples/sec accuracy=63.009943 loss=1.490591 lr=0.007228 Epoch[035] Batch [1149]/[3760] Speed: 131.850048 samples/sec accuracy=63.014946 loss=1.490687 lr=0.007226 Epoch[035] Batch [1199]/[3760] Speed: 126.840370 samples/sec accuracy=62.958333 loss=1.492932 lr=0.007224 Epoch[035] Batch [1249]/[3760] Speed: 131.314398 samples/sec accuracy=62.905000 loss=1.494045 lr=0.007222 Epoch[035] Batch [1299]/[3760] Speed: 132.457028 samples/sec accuracy=62.926683 loss=1.493865 lr=0.007221 Epoch[035] Batch [1349]/[3760] Speed: 125.722858 samples/sec accuracy=62.892361 loss=1.494943 lr=0.007219 Epoch[035] Batch [1399]/[3760] Speed: 139.585835 samples/sec accuracy=62.935268 loss=1.494455 lr=0.007217 Epoch[035] Batch [1449]/[3760] Speed: 127.647169 samples/sec accuracy=62.862069 loss=1.495785 lr=0.007215 Epoch[035] Batch [1499]/[3760] Speed: 132.579924 samples/sec accuracy=62.832292 loss=1.496459 lr=0.007213 Epoch[035] Batch [1549]/[3760] Speed: 132.122382 samples/sec accuracy=62.838710 loss=1.497367 lr=0.007211 Epoch[035] Batch [1599]/[3760] Speed: 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loss=1.503160 lr=0.007192 Epoch[035] Batch [2099]/[3760] Speed: 131.391665 samples/sec accuracy=62.630208 loss=1.503131 lr=0.007191 Epoch[035] Batch [2149]/[3760] Speed: 130.055062 samples/sec accuracy=62.619186 loss=1.503495 lr=0.007189 Epoch[035] Batch [2199]/[3760] Speed: 134.914548 samples/sec accuracy=62.629261 loss=1.504024 lr=0.007187 Epoch[035] Batch [2249]/[3760] Speed: 127.169310 samples/sec accuracy=62.627083 loss=1.504764 lr=0.007185 Epoch[035] Batch [2299]/[3760] Speed: 129.428385 samples/sec accuracy=62.631114 loss=1.504763 lr=0.007183 Epoch[035] Batch [2349]/[3760] Speed: 138.690399 samples/sec accuracy=62.595745 loss=1.505526 lr=0.007181 Epoch[035] Batch [2399]/[3760] Speed: 122.564494 samples/sec accuracy=62.587891 loss=1.505857 lr=0.007179 Epoch[035] Batch [2449]/[3760] Speed: 139.339545 samples/sec accuracy=62.569515 loss=1.506603 lr=0.007177 Epoch[035] Batch [2499]/[3760] Speed: 126.994969 samples/sec accuracy=62.560625 loss=1.507667 lr=0.007176 Epoch[035] Batch 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accuracy=62.407813 loss=1.512393 lr=0.007157 Epoch[035] Batch [3049]/[3760] Speed: 125.779963 samples/sec accuracy=62.383197 loss=1.513562 lr=0.007155 Epoch[035] Batch [3099]/[3760] Speed: 130.479364 samples/sec accuracy=62.361391 loss=1.514091 lr=0.007153 Epoch[035] Batch [3149]/[3760] Speed: 132.403352 samples/sec accuracy=62.344742 loss=1.514947 lr=0.007151 Epoch[035] Batch [3199]/[3760] Speed: 135.244003 samples/sec accuracy=62.337891 loss=1.515195 lr=0.007149 Epoch[035] Batch [3249]/[3760] Speed: 132.423810 samples/sec accuracy=62.317788 loss=1.515772 lr=0.007147 Epoch[035] Batch [3299]/[3760] Speed: 128.637678 samples/sec accuracy=62.308712 loss=1.515775 lr=0.007145 Epoch[035] Batch [3349]/[3760] Speed: 136.925187 samples/sec accuracy=62.284981 loss=1.516123 lr=0.007144 Epoch[035] Batch [3399]/[3760] Speed: 121.673667 samples/sec accuracy=62.266544 loss=1.516915 lr=0.007142 Epoch[035] Batch [3449]/[3760] Speed: 136.908592 samples/sec accuracy=62.286685 loss=1.516620 lr=0.007140 Epoch[035] Batch [3499]/[3760] Speed: 131.477348 samples/sec accuracy=62.289286 loss=1.516926 lr=0.007138 Epoch[035] Batch [3549]/[3760] Speed: 136.427428 samples/sec accuracy=62.288292 loss=1.516768 lr=0.007136 Epoch[035] Batch [3599]/[3760] Speed: 118.316712 samples/sec accuracy=62.286458 loss=1.516909 lr=0.007134 Epoch[035] Batch [3649]/[3760] Speed: 148.173035 samples/sec accuracy=62.256421 loss=1.518089 lr=0.007132 Epoch[035] Batch [3699]/[3760] Speed: 121.008181 samples/sec accuracy=62.259713 loss=1.518052 lr=0.007130 Epoch[035] Batch [3749]/[3760] Speed: 154.886920 samples/sec accuracy=62.259583 loss=1.518490 lr=0.007128 Batch [0049]/[0303]: acc-top1=55.281250 acc-top5=80.437500 Batch [0099]/[0303]: acc-top1=55.109375 acc-top5=79.828125 Batch [0149]/[0303]: acc-top1=55.645833 acc-top5=79.864583 Batch [0199]/[0303]: acc-top1=55.710938 acc-top5=79.773438 Batch [0249]/[0303]: acc-top1=55.925000 acc-top5=79.862500 Batch [0299]/[0303]: acc-top1=56.187500 acc-top5=79.968750 [Epoch 035] training: accuracy=62.256483 loss=1.518460 [Epoch 035] speed: 130 samples/sec time cost: 2025.663086 [Epoch 035] validation: acc-top1=56.182962 acc-top5=79.971122 loss=2.088656 Epoch[036] Batch [0049]/[3760] Speed: 96.647484 samples/sec accuracy=62.875000 loss=1.481505 lr=0.007126 Epoch[036] Batch [0099]/[3760] Speed: 137.137687 samples/sec accuracy=62.437500 loss=1.510631 lr=0.007124 Epoch[036] Batch [0149]/[3760] Speed: 124.230140 samples/sec accuracy=62.625000 loss=1.503231 lr=0.007122 Epoch[036] Batch [0199]/[3760] Speed: 133.241794 samples/sec accuracy=62.859375 loss=1.489428 lr=0.007120 Epoch[036] Batch [0249]/[3760] Speed: 131.542166 samples/sec accuracy=62.937500 loss=1.491695 lr=0.007119 Epoch[036] Batch [0299]/[3760] Speed: 137.889655 samples/sec accuracy=63.234375 loss=1.479412 lr=0.007117 Epoch[036] Batch [0349]/[3760] Speed: 121.641670 samples/sec accuracy=63.187500 loss=1.482116 lr=0.007115 Epoch[036] Batch [0399]/[3760] Speed: 143.169139 samples/sec accuracy=63.042969 loss=1.485343 lr=0.007113 Epoch[036] Batch [0449]/[3760] Speed: 121.841692 samples/sec accuracy=62.993056 loss=1.486056 lr=0.007111 Epoch[036] Batch [0499]/[3760] Speed: 138.680215 samples/sec accuracy=62.975000 loss=1.485255 lr=0.007109 Epoch[036] Batch [0549]/[3760] Speed: 125.973906 samples/sec accuracy=63.107955 loss=1.483628 lr=0.007107 Epoch[036] Batch [0599]/[3760] Speed: 130.181793 samples/sec accuracy=63.067708 loss=1.483942 lr=0.007105 Epoch[036] Batch [0649]/[3760] Speed: 131.443486 samples/sec accuracy=63.144231 loss=1.479706 lr=0.007103 Epoch[036] Batch [0699]/[3760] Speed: 127.640086 samples/sec accuracy=63.205357 loss=1.478014 lr=0.007102 Epoch[036] Batch [0749]/[3760] Speed: 139.078989 samples/sec accuracy=63.147917 loss=1.478142 lr=0.007100 Epoch[036] Batch [0799]/[3760] Speed: 129.474457 samples/sec accuracy=63.132812 loss=1.480319 lr=0.007098 Epoch[036] Batch [0849]/[3760] Speed: 130.452095 samples/sec accuracy=63.132353 loss=1.479867 lr=0.007096 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accuracy=62.824432 loss=1.492681 lr=0.007023 Epoch[036] Batch [2799]/[3760] Speed: 142.322390 samples/sec accuracy=62.821987 loss=1.493045 lr=0.007022 Epoch[036] Batch [2849]/[3760] Speed: 114.613362 samples/sec accuracy=62.837171 loss=1.492804 lr=0.007020 Epoch[036] Batch [2899]/[3760] Speed: 153.202235 samples/sec accuracy=62.807112 loss=1.494017 lr=0.007018 Epoch[036] Batch [2949]/[3760] Speed: 120.101100 samples/sec accuracy=62.780720 loss=1.494984 lr=0.007016 Epoch[036] Batch [2999]/[3760] Speed: 141.815563 samples/sec accuracy=62.757292 loss=1.496082 lr=0.007014 Epoch[036] Batch [3049]/[3760] Speed: 125.636113 samples/sec accuracy=62.742828 loss=1.496615 lr=0.007012 Epoch[036] Batch [3099]/[3760] Speed: 132.593997 samples/sec accuracy=62.737399 loss=1.496726 lr=0.007010 Epoch[036] Batch [3149]/[3760] Speed: 127.106327 samples/sec accuracy=62.716270 loss=1.497770 lr=0.007008 Epoch[036] Batch [3199]/[3760] Speed: 130.024926 samples/sec accuracy=62.690430 loss=1.498456 lr=0.007006 Epoch[036] Batch [3249]/[3760] Speed: 141.493275 samples/sec accuracy=62.678846 loss=1.499364 lr=0.007004 Epoch[036] Batch [3299]/[3760] Speed: 120.169724 samples/sec accuracy=62.642045 loss=1.500347 lr=0.007002 Epoch[036] Batch [3349]/[3760] Speed: 144.524971 samples/sec accuracy=62.617537 loss=1.501834 lr=0.007001 Epoch[036] Batch [3399]/[3760] Speed: 119.955051 samples/sec accuracy=62.633732 loss=1.501560 lr=0.006999 Epoch[036] Batch [3449]/[3760] Speed: 146.503015 samples/sec accuracy=62.632246 loss=1.502414 lr=0.006997 Epoch[036] Batch [3499]/[3760] Speed: 122.113233 samples/sec accuracy=62.624107 loss=1.503181 lr=0.006995 Epoch[036] Batch [3549]/[3760] Speed: 141.341764 samples/sec accuracy=62.608715 loss=1.503942 lr=0.006993 Epoch[036] Batch [3599]/[3760] Speed: 122.077206 samples/sec accuracy=62.594184 loss=1.504684 lr=0.006991 Epoch[036] Batch [3649]/[3760] Speed: 139.535646 samples/sec accuracy=62.588613 loss=1.505272 lr=0.006989 Epoch[036] Batch [3699]/[3760] Speed: 121.358368 samples/sec accuracy=62.587416 loss=1.505487 lr=0.006987 Epoch[036] Batch [3749]/[3760] Speed: 159.883393 samples/sec accuracy=62.549583 loss=1.506584 lr=0.006985 Batch [0049]/[0303]: acc-top1=56.343750 acc-top5=80.406250 Batch [0099]/[0303]: acc-top1=56.437500 acc-top5=80.187500 Batch [0149]/[0303]: acc-top1=56.906250 acc-top5=79.958333 Batch [0199]/[0303]: acc-top1=56.429688 acc-top5=79.992188 Batch [0249]/[0303]: acc-top1=56.593750 acc-top5=79.862500 Batch [0299]/[0303]: acc-top1=56.723958 acc-top5=80.057292 [Epoch 036] training: accuracy=62.546958 loss=1.506798 [Epoch 036] speed: 130 samples/sec time cost: 2024.851645 [Epoch 036] validation: acc-top1=56.683168 acc-top5=80.089728 loss=2.065143 Epoch[037] Batch [0049]/[3759] Speed: 96.769355 samples/sec accuracy=64.312500 loss=1.411009 lr=0.006983 Epoch[037] Batch [0099]/[3759] Speed: 126.075950 samples/sec accuracy=64.578125 loss=1.429590 lr=0.006981 Epoch[037] Batch [0149]/[3759] Speed: 139.568185 samples/sec accuracy=64.052083 loss=1.457738 lr=0.006979 Epoch[037] Batch [0199]/[3759] Speed: 137.341254 samples/sec accuracy=63.945312 loss=1.462649 lr=0.006977 Epoch[037] Batch [0249]/[3759] Speed: 121.433450 samples/sec accuracy=63.662500 loss=1.469446 lr=0.006975 Epoch[037] Batch [0299]/[3759] Speed: 132.126011 samples/sec accuracy=63.562500 loss=1.466573 lr=0.006973 Epoch[037] Batch [0349]/[3759] Speed: 134.479054 samples/sec accuracy=63.879464 loss=1.460417 lr=0.006971 Epoch[037] Batch [0399]/[3759] Speed: 132.316045 samples/sec accuracy=63.914062 loss=1.458840 lr=0.006969 Epoch[037] Batch [0449]/[3759] Speed: 127.749045 samples/sec accuracy=63.909722 loss=1.456999 lr=0.006968 Epoch[037] Batch [0499]/[3759] Speed: 136.749497 samples/sec accuracy=64.000000 loss=1.454257 lr=0.006966 Epoch[037] Batch [0549]/[3759] Speed: 124.164083 samples/sec accuracy=64.088068 loss=1.452687 lr=0.006964 Epoch[037] Batch [0599]/[3759] Speed: 138.128802 samples/sec accuracy=64.010417 loss=1.453753 lr=0.006962 Epoch[037] Batch [0649]/[3759] Speed: 126.709296 samples/sec accuracy=63.990385 loss=1.452611 lr=0.006960 Epoch[037] Batch [0699]/[3759] Speed: 131.155164 samples/sec accuracy=64.002232 loss=1.452445 lr=0.006958 Epoch[037] Batch [0749]/[3759] Speed: 132.721820 samples/sec accuracy=63.856250 loss=1.458324 lr=0.006956 Epoch[037] Batch [0799]/[3759] Speed: 123.138898 samples/sec accuracy=63.822266 loss=1.458966 lr=0.006954 Epoch[037] Batch [0849]/[3759] Speed: 148.180594 samples/sec accuracy=63.803309 loss=1.459171 lr=0.006952 Epoch[037] Batch [0899]/[3759] Speed: 117.598979 samples/sec accuracy=63.819444 loss=1.458796 lr=0.006950 Epoch[037] Batch [0949]/[3759] Speed: 147.522147 samples/sec accuracy=63.807566 loss=1.458500 lr=0.006948 Epoch[037] Batch [0999]/[3759] Speed: 123.700189 samples/sec accuracy=63.815625 loss=1.459358 lr=0.006946 Epoch[037] Batch [1049]/[3759] Speed: 137.773245 samples/sec accuracy=63.785714 loss=1.459032 lr=0.006944 Epoch[037] Batch [1099]/[3759] Speed: 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loss=1.467795 lr=0.006925 Epoch[037] Batch [1599]/[3759] Speed: 131.415474 samples/sec accuracy=63.563477 loss=1.468331 lr=0.006923 Epoch[037] Batch [1649]/[3759] Speed: 131.861704 samples/sec accuracy=63.538826 loss=1.469937 lr=0.006921 Epoch[037] Batch [1699]/[3759] Speed: 131.307620 samples/sec accuracy=63.537684 loss=1.470420 lr=0.006919 Epoch[037] Batch [1749]/[3759] Speed: 133.057413 samples/sec accuracy=63.521429 loss=1.470987 lr=0.006917 Epoch[037] Batch [1799]/[3759] Speed: 128.947178 samples/sec accuracy=63.480035 loss=1.471922 lr=0.006916 Epoch[037] Batch [1849]/[3759] Speed: 128.743395 samples/sec accuracy=63.500000 loss=1.471521 lr=0.006914 Epoch[037] Batch [1899]/[3759] Speed: 137.363679 samples/sec accuracy=63.471217 loss=1.472500 lr=0.006912 Epoch[037] Batch [1949]/[3759] Speed: 125.687595 samples/sec accuracy=63.459936 loss=1.472872 lr=0.006910 Epoch[037] Batch [1999]/[3759] Speed: 135.734206 samples/sec accuracy=63.459375 loss=1.472278 lr=0.006908 Epoch[037] Batch 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accuracy=63.255000 loss=1.479573 lr=0.006888 Epoch[037] Batch [2549]/[3759] Speed: 117.390216 samples/sec accuracy=63.204044 loss=1.481134 lr=0.006887 Epoch[037] Batch [2599]/[3759] Speed: 145.110707 samples/sec accuracy=63.191707 loss=1.481192 lr=0.006885 Epoch[037] Batch [2649]/[3759] Speed: 115.966535 samples/sec accuracy=63.189858 loss=1.481162 lr=0.006883 Epoch[037] Batch [2699]/[3759] Speed: 147.591356 samples/sec accuracy=63.162037 loss=1.481858 lr=0.006881 Epoch[037] Batch [2749]/[3759] Speed: 127.118857 samples/sec accuracy=63.153977 loss=1.482141 lr=0.006879 Epoch[037] Batch [2799]/[3759] Speed: 141.006487 samples/sec accuracy=63.138951 loss=1.482850 lr=0.006877 Epoch[037] Batch [2849]/[3759] Speed: 123.443654 samples/sec accuracy=63.145833 loss=1.482949 lr=0.006875 Epoch[037] Batch [2899]/[3759] Speed: 130.309887 samples/sec accuracy=63.157328 loss=1.482993 lr=0.006873 Epoch[037] Batch [2949]/[3759] Speed: 141.300059 samples/sec accuracy=63.154661 loss=1.482892 lr=0.006871 Epoch[037] Batch [2999]/[3759] Speed: 123.640363 samples/sec accuracy=63.166667 loss=1.482436 lr=0.006869 Epoch[037] Batch [3049]/[3759] Speed: 144.297936 samples/sec accuracy=63.148566 loss=1.483181 lr=0.006867 Epoch[037] Batch [3099]/[3759] Speed: 115.015843 samples/sec accuracy=63.118448 loss=1.484171 lr=0.006865 Epoch[037] Batch [3149]/[3759] Speed: 156.259701 samples/sec accuracy=63.125992 loss=1.484195 lr=0.006863 Epoch[037] Batch [3199]/[3759] Speed: 114.209593 samples/sec accuracy=63.114258 loss=1.484376 lr=0.006861 Epoch[037] Batch [3249]/[3759] Speed: 152.276785 samples/sec accuracy=63.138942 loss=1.483279 lr=0.006859 Epoch[037] Batch [3299]/[3759] Speed: 116.192065 samples/sec accuracy=63.125947 loss=1.483605 lr=0.006857 Epoch[037] Batch [3349]/[3759] Speed: 145.106076 samples/sec accuracy=63.122668 loss=1.483643 lr=0.006856 Epoch[037] Batch [3399]/[3759] Speed: 131.840135 samples/sec accuracy=63.090533 loss=1.484724 lr=0.006854 Epoch[037] Batch [3449]/[3759] Speed: 123.374692 samples/sec accuracy=63.086957 loss=1.485137 lr=0.006852 Epoch[037] Batch [3499]/[3759] Speed: 135.315014 samples/sec accuracy=63.056696 loss=1.486027 lr=0.006850 Epoch[037] Batch [3549]/[3759] Speed: 129.641426 samples/sec accuracy=63.065141 loss=1.486102 lr=0.006848 Epoch[037] Batch [3599]/[3759] Speed: 136.096313 samples/sec accuracy=63.057292 loss=1.486384 lr=0.006846 Epoch[037] Batch [3649]/[3759] Speed: 128.303094 samples/sec accuracy=63.039812 loss=1.486949 lr=0.006844 Epoch[037] Batch [3699]/[3759] Speed: 131.737656 samples/sec accuracy=63.016470 loss=1.487739 lr=0.006842 Epoch[037] Batch [3749]/[3759] Speed: 151.952379 samples/sec accuracy=63.012500 loss=1.487839 lr=0.006840 Batch [0049]/[0303]: acc-top1=56.906250 acc-top5=80.343750 Batch [0099]/[0303]: acc-top1=56.843750 acc-top5=80.296875 Batch [0149]/[0303]: acc-top1=57.322917 acc-top5=80.312500 Batch [0199]/[0303]: acc-top1=57.226562 acc-top5=80.289062 Batch [0249]/[0303]: acc-top1=57.250000 acc-top5=80.118750 Batch [0299]/[0303]: acc-top1=57.494792 acc-top5=80.406250 [Epoch 037] training: accuracy=63.008779 loss=1.488008 [Epoch 037] speed: 130 samples/sec time cost: 2023.301772 [Epoch 037] validation: acc-top1=57.503094 acc-top5=80.419761 loss=2.061468 Epoch[038] Batch [0049]/[3760] Speed: 94.795013 samples/sec accuracy=64.187500 loss=1.441410 lr=0.006838 Epoch[038] Batch [0099]/[3760] Speed: 154.758470 samples/sec accuracy=63.796875 loss=1.450440 lr=0.006836 Epoch[038] Batch [0149]/[3760] Speed: 114.996278 samples/sec accuracy=64.531250 loss=1.429133 lr=0.006834 Epoch[038] Batch [0199]/[3760] Speed: 148.908545 samples/sec accuracy=64.656250 loss=1.416110 lr=0.006832 Epoch[038] Batch [0249]/[3760] Speed: 115.557520 samples/sec accuracy=64.550000 loss=1.422267 lr=0.006830 Epoch[038] Batch [0299]/[3760] Speed: 141.186114 samples/sec accuracy=64.656250 loss=1.416928 lr=0.006828 Epoch[038] Batch [0349]/[3760] Speed: 128.038791 samples/sec accuracy=64.718750 loss=1.412097 lr=0.006826 Epoch[038] 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lr=0.006789 Epoch[038] Batch [1349]/[3760] Speed: 135.907477 samples/sec accuracy=63.975694 loss=1.445384 lr=0.006787 Epoch[038] Batch [1399]/[3760] Speed: 131.468888 samples/sec accuracy=63.959821 loss=1.446030 lr=0.006785 Epoch[038] Batch [1449]/[3760] Speed: 128.398617 samples/sec accuracy=63.908405 loss=1.448119 lr=0.006783 Epoch[038] Batch [1499]/[3760] Speed: 138.873991 samples/sec accuracy=63.914583 loss=1.448056 lr=0.006781 Epoch[038] Batch [1549]/[3760] Speed: 125.431696 samples/sec accuracy=63.841734 loss=1.450417 lr=0.006779 Epoch[038] Batch [1599]/[3760] Speed: 132.713449 samples/sec accuracy=63.842773 loss=1.450573 lr=0.006777 Epoch[038] Batch [1649]/[3760] Speed: 132.679149 samples/sec accuracy=63.780303 loss=1.452602 lr=0.006775 Epoch[038] Batch [1699]/[3760] Speed: 136.574606 samples/sec accuracy=63.778493 loss=1.452759 lr=0.006773 Epoch[038] Batch [1749]/[3760] Speed: 121.197422 samples/sec accuracy=63.762500 loss=1.453890 lr=0.006771 Epoch[038] Batch [1799]/[3760] 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accuracy=63.552083 loss=1.462479 lr=0.006752 Epoch[038] Batch [2299]/[3760] Speed: 134.144559 samples/sec accuracy=63.561821 loss=1.462876 lr=0.006750 Epoch[038] Batch [2349]/[3760] Speed: 147.896488 samples/sec accuracy=63.552527 loss=1.463479 lr=0.006748 Epoch[038] Batch [2399]/[3760] Speed: 117.986718 samples/sec accuracy=63.542969 loss=1.463299 lr=0.006746 Epoch[038] Batch [2449]/[3760] Speed: 137.914925 samples/sec accuracy=63.535714 loss=1.463480 lr=0.006744 Epoch[038] Batch [2499]/[3760] Speed: 128.617074 samples/sec accuracy=63.521250 loss=1.463539 lr=0.006742 Epoch[038] Batch [2549]/[3760] Speed: 136.330799 samples/sec accuracy=63.517157 loss=1.463094 lr=0.006740 Epoch[038] Batch [2599]/[3760] Speed: 129.915324 samples/sec accuracy=63.492788 loss=1.463584 lr=0.006738 Epoch[038] Batch [2649]/[3760] Speed: 129.920610 samples/sec accuracy=63.478184 loss=1.464784 lr=0.006736 Epoch[038] Batch [2699]/[3760] Speed: 130.021484 samples/sec accuracy=63.461806 loss=1.465794 lr=0.006734 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loss=1.472287 lr=0.006697 Epoch[038] Batch [3699]/[3760] Speed: 134.617839 samples/sec accuracy=63.347128 loss=1.472687 lr=0.006695 Epoch[038] Batch [3749]/[3760] Speed: 149.827276 samples/sec accuracy=63.331667 loss=1.473505 lr=0.006693 Batch [0049]/[0303]: acc-top1=56.125000 acc-top5=80.156250 Batch [0099]/[0303]: acc-top1=55.765625 acc-top5=80.046875 Batch [0149]/[0303]: acc-top1=56.218750 acc-top5=79.833333 Batch [0199]/[0303]: acc-top1=56.085938 acc-top5=79.882812 Batch [0249]/[0303]: acc-top1=56.150000 acc-top5=79.850000 Batch [0299]/[0303]: acc-top1=56.406250 acc-top5=80.015625 [Epoch 038] training: accuracy=63.326961 loss=1.473762 [Epoch 038] speed: 131 samples/sec time cost: 2018.559673 [Epoch 038] validation: acc-top1=56.415017 acc-top5=79.976279 loss=2.071262 Epoch[039] Batch [0049]/[3760] Speed: 94.443942 samples/sec accuracy=63.937500 loss=1.453729 lr=0.006691 Epoch[039] Batch [0099]/[3760] Speed: 149.698778 samples/sec accuracy=63.968750 loss=1.438831 lr=0.006689 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loss=1.442369 lr=0.006651 Epoch[039] Batch [1099]/[3760] Speed: 125.412620 samples/sec accuracy=64.018466 loss=1.442317 lr=0.006649 Epoch[039] Batch [1149]/[3760] Speed: 135.220130 samples/sec accuracy=64.020380 loss=1.442862 lr=0.006647 Epoch[039] Batch [1199]/[3760] Speed: 131.570493 samples/sec accuracy=64.079427 loss=1.441877 lr=0.006645 Epoch[039] Batch [1249]/[3760] Speed: 128.946625 samples/sec accuracy=64.020000 loss=1.443958 lr=0.006643 Epoch[039] Batch [1299]/[3760] Speed: 132.681615 samples/sec accuracy=64.051683 loss=1.442005 lr=0.006641 Epoch[039] Batch [1349]/[3760] Speed: 133.476147 samples/sec accuracy=64.098380 loss=1.442257 lr=0.006640 Epoch[039] Batch [1399]/[3760] Speed: 127.866130 samples/sec accuracy=64.032366 loss=1.444991 lr=0.006638 Epoch[039] Batch [1449]/[3760] Speed: 136.040217 samples/sec accuracy=64.005388 loss=1.445877 lr=0.006636 Epoch[039] Batch [1499]/[3760] Speed: 124.553388 samples/sec accuracy=63.993750 loss=1.447397 lr=0.006634 Epoch[039] Batch 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accuracy=63.829687 loss=1.453548 lr=0.006614 Epoch[039] Batch [2049]/[3760] Speed: 133.124241 samples/sec accuracy=63.826982 loss=1.452902 lr=0.006612 Epoch[039] Batch [2099]/[3760] Speed: 130.686414 samples/sec accuracy=63.841518 loss=1.452369 lr=0.006610 Epoch[039] Batch [2149]/[3760] Speed: 134.652963 samples/sec accuracy=63.845930 loss=1.452861 lr=0.006608 Epoch[039] Batch [2199]/[3760] Speed: 135.364381 samples/sec accuracy=63.857955 loss=1.452411 lr=0.006606 Epoch[039] Batch [2249]/[3760] Speed: 135.493759 samples/sec accuracy=63.854861 loss=1.452396 lr=0.006604 Epoch[039] Batch [2299]/[3760] Speed: 124.572431 samples/sec accuracy=63.845109 loss=1.453017 lr=0.006602 Epoch[039] Batch [2349]/[3760] Speed: 133.705948 samples/sec accuracy=63.821809 loss=1.453097 lr=0.006600 Epoch[039] Batch [2399]/[3760] Speed: 127.033479 samples/sec accuracy=63.809245 loss=1.452272 lr=0.006598 Epoch[039] Batch [2449]/[3760] Speed: 131.614905 samples/sec accuracy=63.790179 loss=1.453114 lr=0.006596 Epoch[039] Batch [2499]/[3760] Speed: 136.152076 samples/sec accuracy=63.795000 loss=1.453121 lr=0.006594 Epoch[039] Batch [2549]/[3760] Speed: 133.555243 samples/sec accuracy=63.798407 loss=1.453185 lr=0.006592 Epoch[039] Batch [2599]/[3760] Speed: 131.237422 samples/sec accuracy=63.792668 loss=1.453507 lr=0.006590 Epoch[039] Batch [2649]/[3760] Speed: 134.843464 samples/sec accuracy=63.818396 loss=1.453229 lr=0.006588 Epoch[039] Batch [2699]/[3760] Speed: 127.613404 samples/sec accuracy=63.813657 loss=1.453424 lr=0.006586 Epoch[039] Batch [2749]/[3760] Speed: 135.009718 samples/sec accuracy=63.788068 loss=1.454297 lr=0.006584 Epoch[039] Batch [2799]/[3760] Speed: 134.385841 samples/sec accuracy=63.775670 loss=1.454795 lr=0.006582 Epoch[039] Batch [2849]/[3760] Speed: 126.718447 samples/sec accuracy=63.758224 loss=1.455795 lr=0.006580 Epoch[039] Batch [2899]/[3760] Speed: 132.238813 samples/sec accuracy=63.739763 loss=1.456819 lr=0.006578 Epoch[039] Batch [2949]/[3760] Speed: 131.569030 samples/sec accuracy=63.724047 loss=1.457834 lr=0.006576 Epoch[039] Batch [2999]/[3760] Speed: 135.268455 samples/sec accuracy=63.714063 loss=1.458069 lr=0.006574 Epoch[039] Batch [3049]/[3760] Speed: 130.569872 samples/sec accuracy=63.707480 loss=1.458346 lr=0.006572 Epoch[039] Batch [3099]/[3760] Speed: 131.437807 samples/sec accuracy=63.698085 loss=1.459111 lr=0.006570 Epoch[039] Batch [3149]/[3760] Speed: 126.819949 samples/sec accuracy=63.685020 loss=1.459695 lr=0.006568 Epoch[039] Batch [3199]/[3760] Speed: 146.882760 samples/sec accuracy=63.670410 loss=1.460378 lr=0.006566 Epoch[039] Batch [3249]/[3760] Speed: 118.429095 samples/sec accuracy=63.661538 loss=1.460705 lr=0.006564 Epoch[039] Batch [3299]/[3760] Speed: 140.412513 samples/sec accuracy=63.669981 loss=1.460173 lr=0.006562 Epoch[039] Batch [3349]/[3760] Speed: 123.846889 samples/sec accuracy=63.657183 loss=1.460723 lr=0.006560 Epoch[039] Batch [3399]/[3760] Speed: 128.767845 samples/sec accuracy=63.634651 loss=1.461484 lr=0.006558 Epoch[039] Batch [3449]/[3760] Speed: 134.825226 samples/sec accuracy=63.629076 loss=1.462043 lr=0.006556 Epoch[039] Batch [3499]/[3760] Speed: 123.919820 samples/sec accuracy=63.603571 loss=1.462466 lr=0.006554 Epoch[039] Batch [3549]/[3760] Speed: 136.058735 samples/sec accuracy=63.600352 loss=1.462750 lr=0.006552 Epoch[039] Batch [3599]/[3760] Speed: 143.880064 samples/sec accuracy=63.597656 loss=1.463195 lr=0.006550 Epoch[039] Batch [3649]/[3760] Speed: 127.404208 samples/sec accuracy=63.574914 loss=1.463993 lr=0.006548 Epoch[039] Batch [3699]/[3760] Speed: 136.289064 samples/sec accuracy=63.567145 loss=1.464316 lr=0.006546 Epoch[039] Batch [3749]/[3760] Speed: 148.104530 samples/sec accuracy=63.561667 loss=1.464776 lr=0.006544 Batch [0049]/[0303]: acc-top1=56.781250 acc-top5=79.875000 Batch [0099]/[0303]: acc-top1=56.140625 acc-top5=79.656250 Batch [0149]/[0303]: acc-top1=56.437500 acc-top5=79.635417 Batch [0199]/[0303]: acc-top1=56.328125 acc-top5=79.750000 Batch [0249]/[0303]: acc-top1=56.562500 acc-top5=79.637500 Batch [0299]/[0303]: acc-top1=56.781250 acc-top5=79.994792 [Epoch 039] training: accuracy=63.563830 loss=1.464846 [Epoch 039] speed: 131 samples/sec time cost: 2014.398357 [Epoch 039] validation: acc-top1=56.765677 acc-top5=79.986592 loss=2.058667 Epoch[040] Batch [0049]/[3759] Speed: 96.403274 samples/sec accuracy=63.937500 loss=1.465646 lr=0.006542 Epoch[040] Batch [0099]/[3759] Speed: 140.461111 samples/sec accuracy=64.093750 loss=1.467843 lr=0.006540 Epoch[040] Batch [0149]/[3759] Speed: 122.028103 samples/sec accuracy=65.125000 loss=1.426358 lr=0.006538 Epoch[040] Batch [0199]/[3759] Speed: 126.800180 samples/sec accuracy=65.296875 loss=1.408744 lr=0.006536 Epoch[040] Batch [0249]/[3759] Speed: 137.967574 samples/sec accuracy=65.187500 loss=1.407094 lr=0.006534 Epoch[040] Batch [0299]/[3759] Speed: 133.920319 samples/sec accuracy=65.156250 loss=1.406443 lr=0.006532 Epoch[040] Batch [0349]/[3759] Speed: 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loss=1.409700 lr=0.006512 Epoch[040] Batch [0849]/[3759] Speed: 118.923874 samples/sec accuracy=64.803309 loss=1.406153 lr=0.006510 Epoch[040] Batch [0899]/[3759] Speed: 138.091058 samples/sec accuracy=64.864583 loss=1.405042 lr=0.006508 Epoch[040] Batch [0949]/[3759] Speed: 118.314237 samples/sec accuracy=64.843750 loss=1.405644 lr=0.006506 Epoch[040] Batch [0999]/[3759] Speed: 154.419262 samples/sec accuracy=64.753125 loss=1.410008 lr=0.006504 Epoch[040] Batch [1049]/[3759] Speed: 120.634106 samples/sec accuracy=64.742560 loss=1.410570 lr=0.006502 Epoch[040] Batch [1099]/[3759] Speed: 136.196899 samples/sec accuracy=64.742898 loss=1.411456 lr=0.006500 Epoch[040] Batch [1149]/[3759] Speed: 127.779088 samples/sec accuracy=64.752717 loss=1.410953 lr=0.006498 Epoch[040] Batch [1199]/[3759] Speed: 143.925898 samples/sec accuracy=64.743490 loss=1.411301 lr=0.006496 Epoch[040] Batch [1249]/[3759] Speed: 124.469329 samples/sec accuracy=64.741250 loss=1.411143 lr=0.006494 Epoch[040] Batch 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accuracy=64.511607 loss=1.422943 lr=0.006474 Epoch[040] Batch [1799]/[3759] Speed: 122.691432 samples/sec accuracy=64.478299 loss=1.423937 lr=0.006472 Epoch[040] Batch [1849]/[3759] Speed: 140.486975 samples/sec accuracy=64.456081 loss=1.424420 lr=0.006470 Epoch[040] Batch [1899]/[3759] Speed: 127.503370 samples/sec accuracy=64.419408 loss=1.426324 lr=0.006468 Epoch[040] Batch [1949]/[3759] Speed: 131.713969 samples/sec accuracy=64.375801 loss=1.428601 lr=0.006466 Epoch[040] Batch [1999]/[3759] Speed: 133.553025 samples/sec accuracy=64.390625 loss=1.428588 lr=0.006464 Epoch[040] Batch [2049]/[3759] Speed: 134.646799 samples/sec accuracy=64.387195 loss=1.428997 lr=0.006462 Epoch[040] Batch [2099]/[3759] Speed: 132.417125 samples/sec accuracy=64.362351 loss=1.429707 lr=0.006460 Epoch[040] Batch [2149]/[3759] Speed: 129.276427 samples/sec accuracy=64.336483 loss=1.430334 lr=0.006458 Epoch[040] Batch [2199]/[3759] Speed: 135.375911 samples/sec accuracy=64.311080 loss=1.431411 lr=0.006456 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loss=1.443927 lr=0.006418 Epoch[040] Batch [3199]/[3759] Speed: 129.795203 samples/sec accuracy=63.945312 loss=1.444563 lr=0.006416 Epoch[040] Batch [3249]/[3759] Speed: 136.826683 samples/sec accuracy=63.932212 loss=1.445559 lr=0.006414 Epoch[040] Batch [3299]/[3759] Speed: 124.381363 samples/sec accuracy=63.931345 loss=1.445693 lr=0.006412 Epoch[040] Batch [3349]/[3759] Speed: 145.710616 samples/sec accuracy=63.911381 loss=1.446838 lr=0.006410 Epoch[040] Batch [3399]/[3759] Speed: 127.316255 samples/sec accuracy=63.908548 loss=1.446771 lr=0.006408 Epoch[040] Batch [3449]/[3759] Speed: 121.573138 samples/sec accuracy=63.907156 loss=1.447408 lr=0.006406 Epoch[040] Batch [3499]/[3759] Speed: 138.312724 samples/sec accuracy=63.900000 loss=1.448139 lr=0.006404 Epoch[040] Batch [3549]/[3759] Speed: 122.845839 samples/sec accuracy=63.889525 loss=1.448749 lr=0.006402 Epoch[040] Batch [3599]/[3759] Speed: 138.980452 samples/sec accuracy=63.868924 loss=1.449082 lr=0.006400 Epoch[040] Batch 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lr=0.006372 Epoch[041] Batch [0599]/[3760] Speed: 133.549565 samples/sec accuracy=64.713542 loss=1.397654 lr=0.006370 Epoch[041] Batch [0649]/[3760] Speed: 137.381420 samples/sec accuracy=64.709135 loss=1.397453 lr=0.006368 Epoch[041] Batch [0699]/[3760] Speed: 125.901188 samples/sec accuracy=64.736607 loss=1.398773 lr=0.006366 Epoch[041] Batch [0749]/[3760] Speed: 139.068539 samples/sec accuracy=64.727083 loss=1.402362 lr=0.006364 Epoch[041] Batch [0799]/[3760] Speed: 126.889641 samples/sec accuracy=64.800781 loss=1.398160 lr=0.006362 Epoch[041] Batch [0849]/[3760] Speed: 140.133638 samples/sec accuracy=64.834559 loss=1.396882 lr=0.006360 Epoch[041] Batch [0899]/[3760] Speed: 125.731350 samples/sec accuracy=64.800347 loss=1.398331 lr=0.006358 Epoch[041] Batch [0949]/[3760] Speed: 131.869640 samples/sec accuracy=64.814145 loss=1.397886 lr=0.006356 Epoch[041] Batch [0999]/[3760] Speed: 124.332575 samples/sec accuracy=64.806250 loss=1.398177 lr=0.006354 Epoch[041] Batch [1049]/[3760] 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accuracy=64.553125 loss=1.411033 lr=0.006334 Epoch[041] Batch [1549]/[3760] Speed: 141.831612 samples/sec accuracy=64.559476 loss=1.412007 lr=0.006332 Epoch[041] Batch [1599]/[3760] Speed: 131.003684 samples/sec accuracy=64.541992 loss=1.412736 lr=0.006330 Epoch[041] Batch [1649]/[3760] Speed: 137.307994 samples/sec accuracy=64.538826 loss=1.414351 lr=0.006328 Epoch[041] Batch [1699]/[3760] Speed: 135.393952 samples/sec accuracy=64.544118 loss=1.413952 lr=0.006326 Epoch[041] Batch [1749]/[3760] Speed: 127.831398 samples/sec accuracy=64.517857 loss=1.415281 lr=0.006324 Epoch[041] Batch [1799]/[3760] Speed: 127.668824 samples/sec accuracy=64.488715 loss=1.416064 lr=0.006322 Epoch[041] Batch [1849]/[3760] Speed: 137.527561 samples/sec accuracy=64.456926 loss=1.416561 lr=0.006319 Epoch[041] Batch [1899]/[3760] Speed: 129.484961 samples/sec accuracy=64.460526 loss=1.416719 lr=0.006317 Epoch[041] Batch [1949]/[3760] Speed: 131.782965 samples/sec accuracy=64.435096 loss=1.418273 lr=0.006315 Epoch[041] Batch [1999]/[3760] Speed: 130.537411 samples/sec accuracy=64.453906 loss=1.418117 lr=0.006313 Epoch[041] Batch [2049]/[3760] Speed: 136.936237 samples/sec accuracy=64.422256 loss=1.419308 lr=0.006311 Epoch[041] Batch [2099]/[3760] Speed: 118.108223 samples/sec accuracy=64.402530 loss=1.420056 lr=0.006309 Epoch[041] Batch [2149]/[3760] Speed: 138.872610 samples/sec accuracy=64.396802 loss=1.420533 lr=0.006307 Epoch[041] Batch [2199]/[3760] Speed: 125.043379 samples/sec accuracy=64.426847 loss=1.420693 lr=0.006305 Epoch[041] Batch [2249]/[3760] Speed: 134.126249 samples/sec accuracy=64.391667 loss=1.422036 lr=0.006303 Epoch[041] Batch [2299]/[3760] Speed: 121.914619 samples/sec accuracy=64.385190 loss=1.422575 lr=0.006301 Epoch[041] Batch [2349]/[3760] Speed: 139.342795 samples/sec accuracy=64.365691 loss=1.422939 lr=0.006299 Epoch[041] Batch [2399]/[3760] Speed: 119.190067 samples/sec accuracy=64.352214 loss=1.423494 lr=0.006297 Epoch[041] Batch [2449]/[3760] Speed: 155.295340 samples/sec accuracy=64.349490 loss=1.423706 lr=0.006295 Epoch[041] Batch [2499]/[3760] Speed: 129.651145 samples/sec accuracy=64.330000 loss=1.423848 lr=0.006293 Epoch[041] Batch [2549]/[3760] Speed: 129.679544 samples/sec accuracy=64.346814 loss=1.423270 lr=0.006291 Epoch[041] Batch [2599]/[3760] Speed: 139.634992 samples/sec accuracy=64.358173 loss=1.423009 lr=0.006289 Epoch[041] Batch [2649]/[3760] Speed: 127.752642 samples/sec accuracy=64.355542 loss=1.423073 lr=0.006287 Epoch[041] Batch [2699]/[3760] Speed: 129.113324 samples/sec accuracy=64.351852 loss=1.423304 lr=0.006285 Epoch[041] Batch [2749]/[3760] Speed: 126.420194 samples/sec accuracy=64.359091 loss=1.423549 lr=0.006283 Epoch[041] Batch [2799]/[3760] Speed: 140.784590 samples/sec accuracy=64.339286 loss=1.424377 lr=0.006281 Epoch[041] Batch [2849]/[3760] Speed: 123.275793 samples/sec accuracy=64.325658 loss=1.424984 lr=0.006279 Epoch[041] Batch [2899]/[3760] Speed: 131.118706 samples/sec accuracy=64.318427 loss=1.425289 lr=0.006277 Epoch[041] Batch [2949]/[3760] Speed: 124.529181 samples/sec accuracy=64.295551 loss=1.426733 lr=0.006275 Epoch[041] Batch [2999]/[3760] Speed: 140.880622 samples/sec accuracy=64.275000 loss=1.427865 lr=0.006273 Epoch[041] Batch [3049]/[3760] Speed: 128.879728 samples/sec accuracy=64.251025 loss=1.428867 lr=0.006271 Epoch[041] Batch [3099]/[3760] Speed: 142.664020 samples/sec accuracy=64.261593 loss=1.428591 lr=0.006269 Epoch[041] Batch [3149]/[3760] Speed: 124.168048 samples/sec accuracy=64.256448 loss=1.428800 lr=0.006267 Epoch[041] Batch [3199]/[3760] Speed: 135.029454 samples/sec accuracy=64.254395 loss=1.428834 lr=0.006265 Epoch[041] Batch [3249]/[3760] Speed: 125.210292 samples/sec accuracy=64.230288 loss=1.429095 lr=0.006263 Epoch[041] Batch [3299]/[3760] Speed: 133.644174 samples/sec accuracy=64.190341 loss=1.430727 lr=0.006261 Epoch[041] Batch [3349]/[3760] Speed: 128.568627 samples/sec accuracy=64.178172 loss=1.431312 lr=0.006259 Epoch[041] Batch [3399]/[3760] Speed: 139.637902 samples/sec accuracy=64.147518 loss=1.432562 lr=0.006257 Epoch[041] Batch [3449]/[3760] Speed: 123.641044 samples/sec accuracy=64.132699 loss=1.432876 lr=0.006255 Epoch[041] Batch [3499]/[3760] Speed: 141.869147 samples/sec accuracy=64.109375 loss=1.433688 lr=0.006253 Epoch[041] Batch [3549]/[3760] Speed: 126.558390 samples/sec accuracy=64.113556 loss=1.433792 lr=0.006251 Epoch[041] Batch [3599]/[3760] Speed: 133.671225 samples/sec accuracy=64.126302 loss=1.433984 lr=0.006249 Epoch[041] Batch [3649]/[3760] Speed: 129.391309 samples/sec accuracy=64.098887 loss=1.435166 lr=0.006247 Epoch[041] Batch [3699]/[3760] Speed: 133.226018 samples/sec accuracy=64.070946 loss=1.435999 lr=0.006245 Epoch[041] Batch [3749]/[3760] Speed: 153.481589 samples/sec accuracy=64.050417 loss=1.437578 lr=0.006243 Batch [0049]/[0303]: acc-top1=57.562500 acc-top5=81.000000 Batch [0099]/[0303]: acc-top1=56.968750 acc-top5=80.859375 Batch [0149]/[0303]: acc-top1=57.458333 acc-top5=80.760417 Batch [0199]/[0303]: acc-top1=57.281250 acc-top5=80.718750 Batch [0249]/[0303]: acc-top1=57.268750 acc-top5=80.631250 Batch [0299]/[0303]: acc-top1=57.453125 acc-top5=80.838542 [Epoch 041] training: accuracy=64.043800 loss=1.437633 [Epoch 041] speed: 131 samples/sec time cost: 2022.535094 [Epoch 041] validation: acc-top1=57.451526 acc-top5=80.842616 loss=2.043586 Epoch[042] Batch [0049]/[3760] Speed: 94.963189 samples/sec accuracy=64.750000 loss=1.409064 lr=0.006240 Epoch[042] Batch [0099]/[3760] Speed: 154.912925 samples/sec accuracy=65.531250 loss=1.407013 lr=0.006238 Epoch[042] Batch [0149]/[3760] Speed: 111.908977 samples/sec accuracy=65.260417 loss=1.402008 lr=0.006236 Epoch[042] Batch [0199]/[3760] Speed: 156.316305 samples/sec accuracy=65.640625 loss=1.395825 lr=0.006234 Epoch[042] Batch [0249]/[3760] Speed: 114.772484 samples/sec accuracy=65.550000 loss=1.395928 lr=0.006232 Epoch[042] Batch [0299]/[3760] Speed: 144.070083 samples/sec accuracy=65.401042 loss=1.397106 lr=0.006230 Epoch[042] Batch [0349]/[3760] Speed: 119.255982 samples/sec accuracy=65.562500 loss=1.387157 lr=0.006228 Epoch[042] Batch [0399]/[3760] Speed: 144.113227 samples/sec accuracy=65.734375 loss=1.378566 lr=0.006226 Epoch[042] Batch [0449]/[3760] Speed: 119.961427 samples/sec accuracy=65.788194 loss=1.375298 lr=0.006224 Epoch[042] Batch [0499]/[3760] Speed: 142.274668 samples/sec accuracy=65.790625 loss=1.375187 lr=0.006222 Epoch[042] Batch [0549]/[3760] Speed: 123.934028 samples/sec accuracy=65.687500 loss=1.377144 lr=0.006220 Epoch[042] Batch [0599]/[3760] Speed: 137.745922 samples/sec accuracy=65.627604 loss=1.375648 lr=0.006218 Epoch[042] Batch [0649]/[3760] Speed: 132.342943 samples/sec accuracy=65.615385 loss=1.377755 lr=0.006216 Epoch[042] Batch [0699]/[3760] Speed: 134.381780 samples/sec accuracy=65.484375 loss=1.381185 lr=0.006214 Epoch[042] Batch [0749]/[3760] Speed: 127.362366 samples/sec accuracy=65.360417 loss=1.384595 lr=0.006212 Epoch[042] Batch 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accuracy=65.003750 loss=1.394950 lr=0.006192 Epoch[042] Batch [1299]/[3760] Speed: 139.392173 samples/sec accuracy=64.987981 loss=1.395751 lr=0.006190 Epoch[042] Batch [1349]/[3760] Speed: 116.325837 samples/sec accuracy=64.991898 loss=1.395366 lr=0.006188 Epoch[042] Batch [1399]/[3760] Speed: 147.639608 samples/sec accuracy=64.987723 loss=1.395318 lr=0.006186 Epoch[042] Batch [1449]/[3760] Speed: 125.452345 samples/sec accuracy=64.967672 loss=1.397235 lr=0.006184 Epoch[042] Batch [1499]/[3760] Speed: 137.413963 samples/sec accuracy=64.958333 loss=1.398082 lr=0.006182 Epoch[042] Batch [1549]/[3760] Speed: 124.888715 samples/sec accuracy=64.917339 loss=1.400257 lr=0.006179 Epoch[042] Batch [1599]/[3760] Speed: 140.197295 samples/sec accuracy=64.906250 loss=1.401115 lr=0.006177 Epoch[042] Batch [1649]/[3760] Speed: 121.371036 samples/sec accuracy=64.884470 loss=1.401949 lr=0.006175 Epoch[042] Batch [1699]/[3760] Speed: 139.937331 samples/sec accuracy=64.885110 loss=1.402324 lr=0.006173 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loss=1.409325 lr=0.006135 Epoch[042] Batch [2699]/[3760] Speed: 113.828098 samples/sec accuracy=64.677083 loss=1.409632 lr=0.006133 Epoch[042] Batch [2749]/[3760] Speed: 149.181857 samples/sec accuracy=64.675568 loss=1.409792 lr=0.006131 Epoch[042] Batch [2799]/[3760] Speed: 127.018812 samples/sec accuracy=64.695312 loss=1.409306 lr=0.006129 Epoch[042] Batch [2849]/[3760] Speed: 131.251809 samples/sec accuracy=64.703399 loss=1.409108 lr=0.006127 Epoch[042] Batch [2899]/[3760] Speed: 140.876786 samples/sec accuracy=64.684267 loss=1.409839 lr=0.006125 Epoch[042] Batch [2949]/[3760] Speed: 121.109805 samples/sec accuracy=64.674258 loss=1.410236 lr=0.006123 Epoch[042] Batch [2999]/[3760] Speed: 136.036379 samples/sec accuracy=64.677083 loss=1.410193 lr=0.006121 Epoch[042] Batch [3049]/[3760] Speed: 134.554455 samples/sec accuracy=64.649078 loss=1.411144 lr=0.006118 Epoch[042] Batch [3099]/[3760] Speed: 129.385994 samples/sec accuracy=64.643145 loss=1.411142 lr=0.006116 Epoch[042] Batch 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accuracy=64.405382 loss=1.420863 lr=0.006096 Epoch[042] Batch [3649]/[3760] Speed: 128.003900 samples/sec accuracy=64.386986 loss=1.421835 lr=0.006094 Epoch[042] Batch [3699]/[3760] Speed: 137.686449 samples/sec accuracy=64.377111 loss=1.422367 lr=0.006092 Epoch[042] Batch [3749]/[3760] Speed: 145.068291 samples/sec accuracy=64.357917 loss=1.423445 lr=0.006090 Batch [0049]/[0303]: acc-top1=57.281250 acc-top5=80.875000 Batch [0099]/[0303]: acc-top1=56.593750 acc-top5=80.984375 Batch [0149]/[0303]: acc-top1=57.250000 acc-top5=80.895833 Batch [0199]/[0303]: acc-top1=57.296875 acc-top5=80.914062 Batch [0249]/[0303]: acc-top1=57.393750 acc-top5=80.850000 Batch [0299]/[0303]: acc-top1=57.734375 acc-top5=80.994792 [Epoch 042] training: accuracy=64.352560 loss=1.423665 [Epoch 042] speed: 131 samples/sec time cost: 2020.430663 [Epoch 042] validation: acc-top1=57.750619 acc-top5=80.997318 loss=2.003511 Epoch[043] Batch [0049]/[3759] Speed: 93.385796 samples/sec accuracy=67.500000 loss=1.338965 lr=0.006088 Epoch[043] Batch [0099]/[3759] Speed: 126.881745 samples/sec accuracy=66.640625 loss=1.352152 lr=0.006085 Epoch[043] Batch [0149]/[3759] Speed: 136.276243 samples/sec accuracy=66.552083 loss=1.353419 lr=0.006083 Epoch[043] Batch [0199]/[3759] Speed: 140.946075 samples/sec accuracy=66.312500 loss=1.362715 lr=0.006081 Epoch[043] Batch [0249]/[3759] Speed: 122.950907 samples/sec accuracy=66.031250 loss=1.359685 lr=0.006079 Epoch[043] Batch [0299]/[3759] Speed: 145.938912 samples/sec accuracy=65.781250 loss=1.368711 lr=0.006077 Epoch[043] Batch [0349]/[3759] Speed: 119.250505 samples/sec accuracy=65.861607 loss=1.365991 lr=0.006075 Epoch[043] Batch [0399]/[3759] Speed: 153.179998 samples/sec accuracy=65.808594 loss=1.362847 lr=0.006073 Epoch[043] Batch [0449]/[3759] Speed: 116.602507 samples/sec accuracy=65.722222 loss=1.364699 lr=0.006071 Epoch[043] Batch [0499]/[3759] Speed: 130.450049 samples/sec accuracy=65.687500 loss=1.364961 lr=0.006069 Epoch[043] Batch [0549]/[3759] 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accuracy=65.621875 loss=1.366814 lr=0.006049 Epoch[043] Batch [1049]/[3759] Speed: 123.109373 samples/sec accuracy=65.708333 loss=1.365381 lr=0.006047 Epoch[043] Batch [1099]/[3759] Speed: 139.193209 samples/sec accuracy=65.593750 loss=1.369102 lr=0.006045 Epoch[043] Batch [1149]/[3759] Speed: 124.974272 samples/sec accuracy=65.485054 loss=1.371723 lr=0.006043 Epoch[043] Batch [1199]/[3759] Speed: 137.192506 samples/sec accuracy=65.458333 loss=1.373916 lr=0.006041 Epoch[043] Batch [1249]/[3759] Speed: 126.317905 samples/sec accuracy=65.481250 loss=1.373380 lr=0.006039 Epoch[043] Batch [1299]/[3759] Speed: 135.245351 samples/sec accuracy=65.430288 loss=1.375346 lr=0.006036 Epoch[043] Batch [1349]/[3759] Speed: 123.143340 samples/sec accuracy=65.410880 loss=1.375642 lr=0.006034 Epoch[043] Batch [1399]/[3759] Speed: 137.784236 samples/sec accuracy=65.376116 loss=1.377950 lr=0.006032 Epoch[043] Batch [1449]/[3759] Speed: 127.046371 samples/sec accuracy=65.325431 loss=1.379549 lr=0.006030 Epoch[043] Batch [1499]/[3759] Speed: 129.997862 samples/sec accuracy=65.346875 loss=1.378645 lr=0.006028 Epoch[043] Batch [1549]/[3759] Speed: 134.369120 samples/sec accuracy=65.317540 loss=1.379707 lr=0.006026 Epoch[043] Batch [1599]/[3759] Speed: 124.876074 samples/sec accuracy=65.305664 loss=1.380870 lr=0.006024 Epoch[043] Batch [1649]/[3759] Speed: 146.213747 samples/sec accuracy=65.281250 loss=1.382369 lr=0.006022 Epoch[043] Batch [1699]/[3759] Speed: 113.610472 samples/sec accuracy=65.255515 loss=1.383146 lr=0.006020 Epoch[043] Batch [1749]/[3759] Speed: 148.392154 samples/sec accuracy=65.289286 loss=1.381892 lr=0.006018 Epoch[043] Batch [1799]/[3759] Speed: 126.878015 samples/sec accuracy=65.261285 loss=1.382073 lr=0.006016 Epoch[043] Batch [1849]/[3759] Speed: 132.351956 samples/sec accuracy=65.208615 loss=1.383383 lr=0.006014 Epoch[043] Batch [1899]/[3759] Speed: 123.164285 samples/sec accuracy=65.183388 loss=1.384214 lr=0.006012 Epoch[043] Batch [1949]/[3759] Speed: 134.403639 samples/sec accuracy=65.157051 loss=1.385098 lr=0.006010 Epoch[043] Batch [1999]/[3759] Speed: 140.034604 samples/sec accuracy=65.117188 loss=1.386348 lr=0.006008 Epoch[043] Batch [2049]/[3759] Speed: 128.374255 samples/sec accuracy=65.109756 loss=1.386737 lr=0.006006 Epoch[043] Batch [2099]/[3759] Speed: 148.823403 samples/sec accuracy=65.075149 loss=1.388226 lr=0.006004 Epoch[043] Batch [2149]/[3759] Speed: 120.670994 samples/sec accuracy=65.062500 loss=1.389371 lr=0.006002 Epoch[043] Batch [2199]/[3759] Speed: 141.251492 samples/sec accuracy=65.046875 loss=1.390432 lr=0.006000 Epoch[043] Batch [2249]/[3759] Speed: 118.669927 samples/sec accuracy=65.038194 loss=1.389910 lr=0.005998 Epoch[043] Batch [2299]/[3759] Speed: 145.457654 samples/sec accuracy=65.002717 loss=1.390639 lr=0.005996 Epoch[043] Batch [2349]/[3759] Speed: 118.324695 samples/sec accuracy=65.009973 loss=1.390614 lr=0.005994 Epoch[043] Batch [2399]/[3759] Speed: 135.401470 samples/sec accuracy=64.987630 loss=1.391704 lr=0.005991 Epoch[043] Batch [2449]/[3759] Speed: 124.271009 samples/sec accuracy=64.983418 loss=1.392091 lr=0.005989 Epoch[043] Batch [2499]/[3759] Speed: 153.006545 samples/sec accuracy=64.965000 loss=1.392573 lr=0.005987 Epoch[043] Batch [2549]/[3759] Speed: 113.342429 samples/sec accuracy=64.967525 loss=1.392618 lr=0.005985 Epoch[043] Batch [2599]/[3759] Speed: 156.860895 samples/sec accuracy=64.976562 loss=1.392161 lr=0.005983 Epoch[043] Batch [2649]/[3759] Speed: 113.196466 samples/sec accuracy=64.946344 loss=1.393199 lr=0.005981 Epoch[043] Batch [2699]/[3759] Speed: 144.306069 samples/sec accuracy=64.940394 loss=1.393605 lr=0.005979 Epoch[043] Batch [2749]/[3759] Speed: 121.666467 samples/sec accuracy=64.930114 loss=1.394457 lr=0.005977 Epoch[043] Batch [2799]/[3759] Speed: 137.564851 samples/sec accuracy=64.906808 loss=1.395576 lr=0.005975 Epoch[043] Batch [2849]/[3759] Speed: 126.281249 samples/sec accuracy=64.890351 loss=1.396260 lr=0.005973 Epoch[043] Batch [2899]/[3759] Speed: 139.183694 samples/sec accuracy=64.892780 loss=1.396247 lr=0.005971 Epoch[043] Batch [2949]/[3759] Speed: 132.476535 samples/sec accuracy=64.862818 loss=1.397522 lr=0.005969 Epoch[043] Batch [2999]/[3759] Speed: 136.668376 samples/sec accuracy=64.859375 loss=1.397454 lr=0.005967 Epoch[043] Batch [3049]/[3759] Speed: 127.217974 samples/sec accuracy=64.832480 loss=1.397929 lr=0.005965 Epoch[043] Batch [3099]/[3759] Speed: 125.934456 samples/sec accuracy=64.816532 loss=1.397949 lr=0.005963 Epoch[043] Batch [3149]/[3759] Speed: 134.540462 samples/sec accuracy=64.797619 loss=1.399087 lr=0.005961 Epoch[043] Batch [3199]/[3759] Speed: 123.940928 samples/sec accuracy=64.778809 loss=1.400748 lr=0.005959 Epoch[043] Batch [3249]/[3759] Speed: 143.761467 samples/sec accuracy=64.755288 loss=1.401954 lr=0.005957 Epoch[043] Batch [3299]/[3759] Speed: 129.201653 samples/sec accuracy=64.757102 loss=1.402368 lr=0.005955 Epoch[043] Batch [3349]/[3759] Speed: 130.146868 samples/sec accuracy=64.763060 loss=1.402833 lr=0.005953 Epoch[043] Batch [3399]/[3759] Speed: 127.147466 samples/sec accuracy=64.756434 loss=1.403203 lr=0.005950 Epoch[043] Batch [3449]/[3759] Speed: 138.021046 samples/sec accuracy=64.732337 loss=1.404200 lr=0.005948 Epoch[043] Batch [3499]/[3759] Speed: 126.266122 samples/sec accuracy=64.716518 loss=1.404756 lr=0.005946 Epoch[043] Batch [3549]/[3759] Speed: 142.881244 samples/sec accuracy=64.698063 loss=1.405416 lr=0.005944 Epoch[043] Batch [3599]/[3759] Speed: 120.690743 samples/sec accuracy=64.670573 loss=1.406483 lr=0.005942 Epoch[043] Batch [3649]/[3759] Speed: 143.387193 samples/sec accuracy=64.648973 loss=1.407887 lr=0.005940 Epoch[043] Batch [3699]/[3759] Speed: 119.354591 samples/sec accuracy=64.642736 loss=1.408261 lr=0.005938 Epoch[043] Batch [3749]/[3759] Speed: 163.681849 samples/sec accuracy=64.620417 loss=1.408657 lr=0.005936 Batch [0049]/[0303]: acc-top1=58.312500 acc-top5=81.531250 Batch [0099]/[0303]: acc-top1=58.000000 acc-top5=81.140625 Batch [0149]/[0303]: acc-top1=58.281250 acc-top5=81.125000 Batch [0199]/[0303]: acc-top1=58.210938 acc-top5=81.203125 Batch [0249]/[0303]: acc-top1=58.300000 acc-top5=81.131250 Batch [0299]/[0303]: acc-top1=58.489583 acc-top5=81.307292 [Epoch 043] training: accuracy=64.620328 loss=1.408741 [Epoch 043] speed: 130 samples/sec time cost: 2022.594121 [Epoch 043] validation: acc-top1=58.462252 acc-top5=81.280941 loss=1.976330 Epoch[044] Batch [0049]/[3760] Speed: 96.602777 samples/sec accuracy=67.312500 loss=1.279979 lr=0.005934 Epoch[044] Batch [0099]/[3760] Speed: 128.215429 samples/sec accuracy=66.875000 loss=1.302998 lr=0.005932 Epoch[044] Batch [0149]/[3760] Speed: 132.981028 samples/sec accuracy=66.645833 loss=1.320667 lr=0.005930 Epoch[044] Batch [0199]/[3760] Speed: 148.719660 samples/sec accuracy=66.609375 loss=1.325002 lr=0.005928 Epoch[044] Batch [0249]/[3760] Speed: 118.493403 samples/sec accuracy=66.337500 loss=1.333956 lr=0.005925 Epoch[044] Batch 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accuracy=66.064583 loss=1.349535 lr=0.005905 Epoch[044] Batch [0799]/[3760] Speed: 147.278437 samples/sec accuracy=66.031250 loss=1.352387 lr=0.005903 Epoch[044] Batch [0849]/[3760] Speed: 125.184280 samples/sec accuracy=66.058824 loss=1.350244 lr=0.005901 Epoch[044] Batch [0899]/[3760] Speed: 132.609642 samples/sec accuracy=65.980903 loss=1.354556 lr=0.005899 Epoch[044] Batch [0949]/[3760] Speed: 128.837205 samples/sec accuracy=65.991776 loss=1.353973 lr=0.005897 Epoch[044] Batch [0999]/[3760] Speed: 131.363211 samples/sec accuracy=65.937500 loss=1.355463 lr=0.005895 Epoch[044] Batch [1049]/[3760] Speed: 143.528927 samples/sec accuracy=65.946429 loss=1.355803 lr=0.005893 Epoch[044] Batch [1099]/[3760] Speed: 125.726653 samples/sec accuracy=65.906250 loss=1.356390 lr=0.005891 Epoch[044] Batch [1149]/[3760] Speed: 139.265218 samples/sec accuracy=65.832880 loss=1.358160 lr=0.005888 Epoch[044] Batch [1199]/[3760] Speed: 124.586467 samples/sec accuracy=65.778646 loss=1.358491 lr=0.005886 Epoch[044] Batch [1249]/[3760] Speed: 144.319598 samples/sec accuracy=65.770000 loss=1.359284 lr=0.005884 Epoch[044] Batch [1299]/[3760] Speed: 115.914080 samples/sec accuracy=65.798077 loss=1.358113 lr=0.005882 Epoch[044] Batch [1349]/[3760] Speed: 148.767890 samples/sec accuracy=65.795139 loss=1.358897 lr=0.005880 Epoch[044] Batch [1399]/[3760] Speed: 111.642665 samples/sec accuracy=65.765625 loss=1.360029 lr=0.005878 Epoch[044] Batch [1449]/[3760] Speed: 156.900178 samples/sec accuracy=65.743534 loss=1.361205 lr=0.005876 Epoch[044] Batch [1499]/[3760] Speed: 105.872417 samples/sec accuracy=65.714583 loss=1.362715 lr=0.005874 Epoch[044] Batch [1549]/[3760] Speed: 158.688827 samples/sec accuracy=65.704637 loss=1.362211 lr=0.005872 Epoch[044] Batch [1599]/[3760] Speed: 130.347555 samples/sec accuracy=65.715820 loss=1.363221 lr=0.005870 Epoch[044] Batch [1649]/[3760] Speed: 128.815806 samples/sec accuracy=65.715909 loss=1.364089 lr=0.005868 Epoch[044] Batch [1699]/[3760] Speed: 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loss=1.371188 lr=0.005847 Epoch[044] Batch [2199]/[3760] Speed: 134.826207 samples/sec accuracy=65.521307 loss=1.370533 lr=0.005845 Epoch[044] Batch [2249]/[3760] Speed: 125.843047 samples/sec accuracy=65.488194 loss=1.371871 lr=0.005843 Epoch[044] Batch [2299]/[3760] Speed: 133.711479 samples/sec accuracy=65.517663 loss=1.371496 lr=0.005841 Epoch[044] Batch [2349]/[3760] Speed: 132.603626 samples/sec accuracy=65.503324 loss=1.371859 lr=0.005839 Epoch[044] Batch [2399]/[3760] Speed: 126.214890 samples/sec accuracy=65.494792 loss=1.372412 lr=0.005837 Epoch[044] Batch [2449]/[3760] Speed: 148.255053 samples/sec accuracy=65.461735 loss=1.373938 lr=0.005835 Epoch[044] Batch [2499]/[3760] Speed: 115.089372 samples/sec accuracy=65.425625 loss=1.375424 lr=0.005833 Epoch[044] Batch [2549]/[3760] Speed: 146.970319 samples/sec accuracy=65.430147 loss=1.375651 lr=0.005831 Epoch[044] Batch [2599]/[3760] Speed: 118.849165 samples/sec accuracy=65.409255 loss=1.376584 lr=0.005829 Epoch[044] Batch 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accuracy=65.237399 loss=1.383753 lr=0.005808 Epoch[044] Batch [3149]/[3760] Speed: 138.848189 samples/sec accuracy=65.215774 loss=1.384200 lr=0.005806 Epoch[044] Batch [3199]/[3760] Speed: 126.918677 samples/sec accuracy=65.212402 loss=1.385050 lr=0.005804 Epoch[044] Batch [3249]/[3760] Speed: 133.800224 samples/sec accuracy=65.202404 loss=1.385704 lr=0.005802 Epoch[044] Batch [3299]/[3760] Speed: 144.620613 samples/sec accuracy=65.203125 loss=1.385776 lr=0.005800 Epoch[044] Batch [3349]/[3760] Speed: 116.260567 samples/sec accuracy=65.191231 loss=1.385978 lr=0.005798 Epoch[044] Batch [3399]/[3760] Speed: 144.268548 samples/sec accuracy=65.181066 loss=1.386147 lr=0.005796 Epoch[044] Batch [3449]/[3760] Speed: 122.526203 samples/sec accuracy=65.163949 loss=1.387015 lr=0.005794 Epoch[044] Batch [3499]/[3760] Speed: 140.519968 samples/sec accuracy=65.158482 loss=1.387324 lr=0.005792 Epoch[044] Batch [3549]/[3760] Speed: 120.170042 samples/sec accuracy=65.160651 loss=1.387552 lr=0.005790 Epoch[044] Batch [3599]/[3760] Speed: 147.089991 samples/sec accuracy=65.164931 loss=1.387382 lr=0.005788 Epoch[044] Batch [3649]/[3760] Speed: 120.607615 samples/sec accuracy=65.152397 loss=1.388325 lr=0.005785 Epoch[044] Batch [3699]/[3760] Speed: 144.011567 samples/sec accuracy=65.132601 loss=1.388918 lr=0.005783 Epoch[044] Batch [3749]/[3760] Speed: 149.306526 samples/sec accuracy=65.120417 loss=1.389301 lr=0.005781 Batch [0049]/[0303]: acc-top1=57.718750 acc-top5=79.750000 Batch [0099]/[0303]: acc-top1=56.812500 acc-top5=79.875000 Batch [0149]/[0303]: acc-top1=57.489583 acc-top5=80.125000 Batch [0199]/[0303]: acc-top1=57.406250 acc-top5=80.257812 Batch [0249]/[0303]: acc-top1=57.375000 acc-top5=80.362500 Batch [0299]/[0303]: acc-top1=57.489583 acc-top5=80.557292 [Epoch 044] training: accuracy=65.115110 loss=1.389494 [Epoch 044] speed: 131 samples/sec time cost: 2021.463842 [Epoch 044] validation: acc-top1=57.497937 acc-top5=80.569307 loss=2.045765 Epoch[045] Batch [0049]/[3760] Speed: 94.890720 samples/sec accuracy=66.875000 loss=1.300293 lr=0.005779 Epoch[045] Batch [0099]/[3760] Speed: 152.121118 samples/sec accuracy=66.562500 loss=1.328481 lr=0.005777 Epoch[045] Batch [0149]/[3760] Speed: 118.224241 samples/sec accuracy=66.645833 loss=1.339469 lr=0.005775 Epoch[045] Batch [0199]/[3760] Speed: 142.350317 samples/sec accuracy=66.398438 loss=1.338676 lr=0.005773 Epoch[045] Batch [0249]/[3760] Speed: 117.217448 samples/sec accuracy=66.500000 loss=1.340499 lr=0.005771 Epoch[045] Batch [0299]/[3760] Speed: 144.002997 samples/sec accuracy=66.520833 loss=1.339504 lr=0.005769 Epoch[045] Batch [0349]/[3760] Speed: 122.514966 samples/sec accuracy=66.553571 loss=1.338685 lr=0.005767 Epoch[045] Batch [0399]/[3760] Speed: 139.905820 samples/sec accuracy=66.523438 loss=1.338833 lr=0.005764 Epoch[045] Batch [0449]/[3760] Speed: 127.525898 samples/sec accuracy=66.312500 loss=1.341072 lr=0.005762 Epoch[045] Batch [0499]/[3760] Speed: 132.822673 samples/sec accuracy=66.215625 loss=1.345242 lr=0.005760 Epoch[045] Batch [0549]/[3760] Speed: 140.914069 samples/sec accuracy=66.181818 loss=1.344667 lr=0.005758 Epoch[045] Batch [0599]/[3760] Speed: 118.000546 samples/sec accuracy=65.945312 loss=1.354741 lr=0.005756 Epoch[045] Batch [0649]/[3760] Speed: 143.377403 samples/sec accuracy=65.966346 loss=1.353495 lr=0.005754 Epoch[045] Batch [0699]/[3760] Speed: 132.307526 samples/sec accuracy=65.950893 loss=1.355474 lr=0.005752 Epoch[045] Batch [0749]/[3760] Speed: 129.388555 samples/sec accuracy=65.866667 loss=1.358395 lr=0.005750 Epoch[045] Batch [0799]/[3760] Speed: 133.253787 samples/sec accuracy=65.863281 loss=1.358533 lr=0.005748 Epoch[045] Batch [0849]/[3760] Speed: 127.013835 samples/sec accuracy=65.950368 loss=1.356850 lr=0.005746 Epoch[045] Batch [0899]/[3760] Speed: 126.667349 samples/sec accuracy=65.878472 loss=1.358088 lr=0.005744 Epoch[045] Batch [0949]/[3760] Speed: 137.417528 samples/sec accuracy=65.870066 loss=1.357526 lr=0.005742 Epoch[045] Batch [0999]/[3760] Speed: 123.301957 samples/sec accuracy=65.901562 loss=1.356594 lr=0.005740 Epoch[045] Batch [1049]/[3760] Speed: 137.264120 samples/sec accuracy=65.916667 loss=1.356783 lr=0.005738 Epoch[045] Batch [1099]/[3760] Speed: 133.533169 samples/sec accuracy=65.950284 loss=1.355278 lr=0.005736 Epoch[045] Batch [1149]/[3760] Speed: 139.774996 samples/sec accuracy=65.894022 loss=1.356446 lr=0.005733 Epoch[045] Batch [1199]/[3760] Speed: 117.398363 samples/sec accuracy=65.855469 loss=1.357823 lr=0.005731 Epoch[045] Batch [1249]/[3760] Speed: 149.098141 samples/sec accuracy=65.837500 loss=1.356963 lr=0.005729 Epoch[045] Batch [1299]/[3760] Speed: 121.230091 samples/sec accuracy=65.825721 loss=1.358318 lr=0.005727 Epoch[045] Batch [1349]/[3760] Speed: 139.460561 samples/sec accuracy=65.762731 loss=1.359245 lr=0.005725 Epoch[045] Batch [1399]/[3760] Speed: 123.006785 samples/sec accuracy=65.755580 loss=1.359921 lr=0.005723 Epoch[045] Batch [1449]/[3760] Speed: 136.359702 samples/sec accuracy=65.688578 loss=1.362578 lr=0.005721 Epoch[045] Batch [1499]/[3760] Speed: 138.619852 samples/sec accuracy=65.640625 loss=1.365097 lr=0.005719 Epoch[045] Batch [1549]/[3760] Speed: 121.886779 samples/sec accuracy=65.606855 loss=1.366313 lr=0.005717 Epoch[045] Batch [1599]/[3760] Speed: 146.147373 samples/sec accuracy=65.580078 loss=1.366660 lr=0.005715 Epoch[045] Batch [1649]/[3760] Speed: 118.364223 samples/sec accuracy=65.570076 loss=1.366848 lr=0.005713 Epoch[045] Batch [1699]/[3760] Speed: 132.451427 samples/sec accuracy=65.590993 loss=1.365357 lr=0.005711 Epoch[045] Batch [1749]/[3760] Speed: 136.344771 samples/sec accuracy=65.560714 loss=1.366294 lr=0.005709 Epoch[045] Batch [1799]/[3760] Speed: 125.062226 samples/sec accuracy=65.539931 loss=1.366003 lr=0.005707 Epoch[045] Batch [1849]/[3760] Speed: 138.816206 samples/sec accuracy=65.504223 loss=1.367089 lr=0.005705 Epoch[045] Batch [1899]/[3760] Speed: 127.997839 samples/sec accuracy=65.518914 loss=1.365926 lr=0.005702 Epoch[045] Batch [1949]/[3760] Speed: 143.584437 samples/sec accuracy=65.506410 loss=1.366753 lr=0.005700 Epoch[045] Batch [1999]/[3760] Speed: 122.315990 samples/sec accuracy=65.483594 loss=1.367768 lr=0.005698 Epoch[045] Batch [2049]/[3760] Speed: 136.346855 samples/sec accuracy=65.458079 loss=1.368328 lr=0.005696 Epoch[045] Batch [2099]/[3760] Speed: 134.105783 samples/sec accuracy=65.450893 loss=1.368288 lr=0.005694 Epoch[045] Batch [2149]/[3760] Speed: 121.205773 samples/sec accuracy=65.425872 loss=1.369379 lr=0.005692 Epoch[045] Batch [2199]/[3760] Speed: 138.037299 samples/sec accuracy=65.441761 loss=1.369577 lr=0.005690 Epoch[045] Batch [2249]/[3760] Speed: 122.288287 samples/sec accuracy=65.458333 loss=1.369279 lr=0.005688 Epoch[045] Batch [2299]/[3760] Speed: 145.830289 samples/sec accuracy=65.434783 loss=1.371238 lr=0.005686 Epoch[045] Batch [2349]/[3760] Speed: 116.976696 samples/sec accuracy=65.434176 loss=1.370849 lr=0.005684 Epoch[045] Batch [2399]/[3760] Speed: 150.705550 samples/sec accuracy=65.403646 loss=1.371742 lr=0.005682 Epoch[045] Batch [2449]/[3760] Speed: 116.939496 samples/sec accuracy=65.394133 loss=1.372269 lr=0.005680 Epoch[045] Batch [2499]/[3760] Speed: 144.757831 samples/sec accuracy=65.411875 loss=1.372225 lr=0.005678 Epoch[045] Batch [2549]/[3760] Speed: 127.655813 samples/sec accuracy=65.398897 loss=1.373030 lr=0.005676 Epoch[045] Batch [2599]/[3760] Speed: 133.096837 samples/sec accuracy=65.404447 loss=1.372586 lr=0.005673 Epoch[045] Batch [2649]/[3760] Speed: 135.622695 samples/sec accuracy=65.393868 loss=1.373027 lr=0.005671 Epoch[045] Batch [2699]/[3760] Speed: 128.694276 samples/sec accuracy=65.385417 loss=1.373562 lr=0.005669 Epoch[045] Batch [2749]/[3760] Speed: 132.477344 samples/sec accuracy=65.371591 loss=1.374092 lr=0.005667 Epoch[045] Batch [2799]/[3760] Speed: 126.362868 samples/sec accuracy=65.365513 loss=1.373762 lr=0.005665 Epoch[045] Batch [2849]/[3760] Speed: 131.885857 samples/sec accuracy=65.344298 loss=1.374329 lr=0.005663 Epoch[045] Batch [2899]/[3760] Speed: 138.451407 samples/sec accuracy=65.332974 loss=1.375188 lr=0.005661 Epoch[045] Batch [2949]/[3760] Speed: 132.286491 samples/sec accuracy=65.356462 loss=1.374575 lr=0.005659 Epoch[045] Batch [2999]/[3760] Speed: 128.516156 samples/sec accuracy=65.337500 loss=1.375020 lr=0.005657 Epoch[045] Batch [3049]/[3760] Speed: 130.334041 samples/sec accuracy=65.342213 loss=1.374688 lr=0.005655 Epoch[045] Batch [3099]/[3760] Speed: 127.778335 samples/sec accuracy=65.321069 loss=1.375346 lr=0.005653 Epoch[045] Batch [3149]/[3760] Speed: 133.127203 samples/sec accuracy=65.318452 loss=1.375244 lr=0.005651 Epoch[045] Batch [3199]/[3760] Speed: 126.024050 samples/sec accuracy=65.303711 loss=1.376170 lr=0.005649 Epoch[045] Batch [3249]/[3760] Speed: 147.800174 samples/sec accuracy=65.298558 loss=1.376173 lr=0.005647 Epoch[045] Batch [3299]/[3760] Speed: 117.533838 samples/sec accuracy=65.295455 loss=1.376471 lr=0.005644 Epoch[045] Batch [3349]/[3760] Speed: 143.221214 samples/sec accuracy=65.287780 loss=1.376770 lr=0.005642 Epoch[045] Batch [3399]/[3760] Speed: 124.128560 samples/sec accuracy=65.288143 loss=1.376907 lr=0.005640 Epoch[045] Batch [3449]/[3760] Speed: 137.660291 samples/sec accuracy=65.264946 loss=1.377716 lr=0.005638 Epoch[045] Batch [3499]/[3760] Speed: 126.233077 samples/sec accuracy=65.260714 loss=1.377691 lr=0.005636 Epoch[045] Batch [3549]/[3760] Speed: 135.166868 samples/sec accuracy=65.236796 loss=1.378381 lr=0.005634 Epoch[045] Batch [3599]/[3760] Speed: 129.216467 samples/sec accuracy=65.241753 loss=1.378314 lr=0.005632 Epoch[045] Batch [3649]/[3760] Speed: 134.366357 samples/sec accuracy=65.241866 loss=1.378203 lr=0.005630 Epoch[045] Batch [3699]/[3760] Speed: 133.423283 samples/sec accuracy=65.240709 loss=1.378471 lr=0.005628 Epoch[045] Batch [3749]/[3760] Speed: 151.271652 samples/sec accuracy=65.229167 loss=1.379335 lr=0.005626 Batch [0049]/[0303]: acc-top1=57.437500 acc-top5=80.906250 Batch [0099]/[0303]: acc-top1=56.890625 acc-top5=80.531250 Batch [0149]/[0303]: acc-top1=57.489583 acc-top5=80.781250 Batch [0199]/[0303]: acc-top1=57.539063 acc-top5=80.796875 Batch [0249]/[0303]: acc-top1=57.537500 acc-top5=80.837500 Batch [0299]/[0303]: acc-top1=57.880208 acc-top5=81.119792 [Epoch 045] training: accuracy=65.240193 loss=1.378927 [Epoch 045] speed: 131 samples/sec time cost: 2018.728668 [Epoch 045] validation: acc-top1=57.843441 acc-top5=81.110767 loss=2.038707 Epoch[046] Batch [0049]/[3759] Speed: 92.720078 samples/sec accuracy=67.562500 loss=1.295290 lr=0.005623 Epoch[046] Batch [0099]/[3759] Speed: 155.788216 samples/sec accuracy=67.125000 loss=1.311748 lr=0.005621 Epoch[046] Batch [0149]/[3759] Speed: 113.364285 samples/sec accuracy=66.885417 loss=1.315174 lr=0.005619 Epoch[046] Batch [0199]/[3759] Speed: 145.450614 samples/sec accuracy=66.914062 loss=1.325806 lr=0.005617 Epoch[046] Batch [0249]/[3759] Speed: 127.729281 samples/sec accuracy=67.087500 loss=1.315885 lr=0.005615 Epoch[046] Batch [0299]/[3759] Speed: 132.204342 samples/sec accuracy=67.093750 loss=1.311563 lr=0.005613 Epoch[046] Batch [0349]/[3759] Speed: 131.868408 samples/sec accuracy=67.093750 loss=1.312765 lr=0.005611 Epoch[046] Batch [0399]/[3759] Speed: 133.406545 samples/sec accuracy=66.980469 loss=1.316335 lr=0.005609 Epoch[046] Batch [0449]/[3759] Speed: 128.669679 samples/sec accuracy=66.937500 loss=1.319677 lr=0.005607 Epoch[046] Batch [0499]/[3759] Speed: 131.249503 samples/sec accuracy=67.000000 loss=1.319527 lr=0.005605 Epoch[046] Batch [0549]/[3759] Speed: 121.144662 samples/sec accuracy=67.002841 loss=1.316935 lr=0.005603 Epoch[046] Batch [0599]/[3759] Speed: 141.078675 samples/sec accuracy=66.953125 loss=1.317823 lr=0.005601 Epoch[046] Batch [0649]/[3759] Speed: 133.421335 samples/sec accuracy=66.961538 loss=1.319840 lr=0.005598 Epoch[046] Batch [0699]/[3759] Speed: 124.474266 samples/sec accuracy=66.910714 loss=1.322528 lr=0.005596 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accuracy=65.911659 loss=1.359272 lr=0.005517 Epoch[046] Batch [2649]/[3759] Speed: 130.554743 samples/sec accuracy=65.922170 loss=1.358964 lr=0.005515 Epoch[046] Batch [2699]/[3759] Speed: 132.107004 samples/sec accuracy=65.939815 loss=1.358193 lr=0.005513 Epoch[046] Batch [2749]/[3759] Speed: 125.680153 samples/sec accuracy=65.930682 loss=1.358351 lr=0.005511 Epoch[046] Batch [2799]/[3759] Speed: 137.903916 samples/sec accuracy=65.909598 loss=1.358675 lr=0.005509 Epoch[046] Batch [2849]/[3759] Speed: 129.650594 samples/sec accuracy=65.864583 loss=1.360669 lr=0.005507 Epoch[046] Batch [2899]/[3759] Speed: 134.067840 samples/sec accuracy=65.864224 loss=1.360696 lr=0.005505 Epoch[046] Batch [2949]/[3759] Speed: 121.515632 samples/sec accuracy=65.872881 loss=1.360667 lr=0.005503 Epoch[046] Batch [2999]/[3759] Speed: 137.655467 samples/sec accuracy=65.842708 loss=1.361732 lr=0.005501 Epoch[046] Batch [3049]/[3759] Speed: 130.198763 samples/sec accuracy=65.839652 loss=1.361874 lr=0.005499 Epoch[046] Batch [3099]/[3759] Speed: 135.013438 samples/sec accuracy=65.825101 loss=1.362298 lr=0.005497 Epoch[046] Batch [3149]/[3759] Speed: 123.455886 samples/sec accuracy=65.834325 loss=1.362228 lr=0.005495 Epoch[046] Batch [3199]/[3759] Speed: 139.166458 samples/sec accuracy=65.825195 loss=1.362450 lr=0.005493 Epoch[046] Batch [3249]/[3759] Speed: 128.431569 samples/sec accuracy=65.806731 loss=1.363076 lr=0.005490 Epoch[046] Batch [3299]/[3759] Speed: 132.983590 samples/sec accuracy=65.799716 loss=1.363964 lr=0.005488 Epoch[046] Batch [3349]/[3759] Speed: 131.662568 samples/sec accuracy=65.797575 loss=1.364013 lr=0.005486 Epoch[046] Batch [3399]/[3759] Speed: 129.823195 samples/sec accuracy=65.786765 loss=1.364226 lr=0.005484 Epoch[046] Batch [3449]/[3759] Speed: 137.188331 samples/sec accuracy=65.776721 loss=1.364364 lr=0.005482 Epoch[046] Batch [3499]/[3759] Speed: 125.279568 samples/sec accuracy=65.783036 loss=1.363939 lr=0.005480 Epoch[046] Batch [3549]/[3759] Speed: 130.124890 samples/sec accuracy=65.765405 loss=1.364394 lr=0.005478 Epoch[046] Batch [3599]/[3759] Speed: 132.301357 samples/sec accuracy=65.746528 loss=1.364848 lr=0.005476 Epoch[046] Batch [3649]/[3759] Speed: 135.860995 samples/sec accuracy=65.726027 loss=1.365012 lr=0.005474 Epoch[046] Batch [3699]/[3759] Speed: 118.745124 samples/sec accuracy=65.722128 loss=1.365079 lr=0.005472 Epoch[046] Batch [3749]/[3759] Speed: 164.673422 samples/sec accuracy=65.702500 loss=1.365473 lr=0.005470 Batch [0049]/[0303]: acc-top1=58.906250 acc-top5=81.531250 Batch [0099]/[0303]: acc-top1=58.078125 acc-top5=81.093750 Batch [0149]/[0303]: acc-top1=58.135417 acc-top5=81.156250 Batch [0199]/[0303]: acc-top1=57.875000 acc-top5=81.101562 Batch [0249]/[0303]: acc-top1=57.843750 acc-top5=80.912500 Batch [0299]/[0303]: acc-top1=58.109375 acc-top5=81.114583 [Epoch 046] training: accuracy=65.700652 loss=1.365425 [Epoch 046] speed: 131 samples/sec time cost: 2020.859483 [Epoch 046] validation: acc-top1=58.070338 acc-top5=81.079827 loss=2.040430 Epoch[047] Batch [0049]/[3760] Speed: 93.262700 samples/sec accuracy=67.843750 loss=1.269563 lr=0.005467 Epoch[047] Batch [0099]/[3760] Speed: 153.008366 samples/sec accuracy=66.687500 loss=1.296835 lr=0.005465 Epoch[047] Batch [0149]/[3760] Speed: 116.515196 samples/sec accuracy=66.395833 loss=1.297247 lr=0.005463 Epoch[047] Batch [0199]/[3760] Speed: 151.060901 samples/sec accuracy=66.320312 loss=1.310921 lr=0.005461 Epoch[047] Batch [0249]/[3760] Speed: 111.763173 samples/sec accuracy=66.950000 loss=1.292276 lr=0.005459 Epoch[047] Batch [0299]/[3760] Speed: 141.651462 samples/sec accuracy=66.682292 loss=1.299852 lr=0.005457 Epoch[047] Batch [0349]/[3760] Speed: 120.520718 samples/sec accuracy=66.611607 loss=1.305294 lr=0.005455 Epoch[047] Batch [0399]/[3760] Speed: 146.823918 samples/sec accuracy=66.480469 loss=1.308504 lr=0.005453 Epoch[047] Batch [0449]/[3760] Speed: 121.328837 samples/sec accuracy=66.538194 loss=1.308626 lr=0.005451 Epoch[047] Batch [0499]/[3760] Speed: 144.882617 samples/sec accuracy=66.653125 loss=1.306960 lr=0.005448 Epoch[047] Batch [0549]/[3760] Speed: 121.948464 samples/sec accuracy=66.656250 loss=1.310488 lr=0.005446 Epoch[047] Batch [0599]/[3760] Speed: 137.159097 samples/sec accuracy=66.690104 loss=1.311405 lr=0.005444 Epoch[047] Batch [0649]/[3760] Speed: 126.882556 samples/sec accuracy=66.653846 loss=1.315842 lr=0.005442 Epoch[047] Batch [0699]/[3760] Speed: 130.073673 samples/sec accuracy=66.555804 loss=1.318767 lr=0.005440 Epoch[047] Batch [0749]/[3760] Speed: 138.148212 samples/sec accuracy=66.550000 loss=1.320832 lr=0.005438 Epoch[047] Batch [0799]/[3760] Speed: 124.562760 samples/sec accuracy=66.503906 loss=1.324108 lr=0.005436 Epoch[047] Batch [0849]/[3760] Speed: 128.014121 samples/sec accuracy=66.555147 loss=1.321992 lr=0.005434 Epoch[047] Batch [0899]/[3760] Speed: 143.003728 samples/sec accuracy=66.604167 loss=1.320355 lr=0.005432 Epoch[047] Batch [0949]/[3760] Speed: 133.054557 samples/sec accuracy=66.578947 loss=1.320640 lr=0.005430 Epoch[047] Batch [0999]/[3760] Speed: 129.844740 samples/sec accuracy=66.518750 loss=1.323541 lr=0.005428 Epoch[047] Batch [1049]/[3760] Speed: 129.243704 samples/sec accuracy=66.489583 loss=1.325212 lr=0.005426 Epoch[047] Batch [1099]/[3760] Speed: 128.329339 samples/sec accuracy=66.447443 loss=1.326259 lr=0.005423 Epoch[047] Batch [1149]/[3760] Speed: 132.074483 samples/sec accuracy=66.466033 loss=1.326593 lr=0.005421 Epoch[047] Batch [1199]/[3760] Speed: 133.699393 samples/sec accuracy=66.447917 loss=1.328469 lr=0.005419 Epoch[047] Batch [1249]/[3760] Speed: 124.472785 samples/sec accuracy=66.478750 loss=1.328679 lr=0.005417 Epoch[047] Batch [1299]/[3760] Speed: 136.517216 samples/sec accuracy=66.436298 loss=1.329604 lr=0.005415 Epoch[047] Batch [1349]/[3760] Speed: 132.224834 samples/sec accuracy=66.391204 loss=1.331236 lr=0.005413 Epoch[047] Batch [1399]/[3760] Speed: 136.419252 samples/sec accuracy=66.334821 loss=1.332044 lr=0.005411 Epoch[047] Batch [1449]/[3760] Speed: 121.572415 samples/sec accuracy=66.321121 loss=1.332192 lr=0.005409 Epoch[047] Batch [1499]/[3760] Speed: 146.971640 samples/sec accuracy=66.264583 loss=1.334861 lr=0.005407 Epoch[047] Batch [1549]/[3760] Speed: 120.908575 samples/sec accuracy=66.250000 loss=1.334815 lr=0.005405 Epoch[047] Batch [1599]/[3760] Speed: 136.446113 samples/sec accuracy=66.253906 loss=1.335604 lr=0.005403 Epoch[047] Batch [1649]/[3760] Speed: 124.093634 samples/sec accuracy=66.230114 loss=1.335859 lr=0.005401 Epoch[047] Batch [1699]/[3760] Speed: 140.157632 samples/sec accuracy=66.204044 loss=1.336754 lr=0.005399 Epoch[047] Batch [1749]/[3760] Speed: 129.025542 samples/sec accuracy=66.200893 loss=1.336683 lr=0.005396 Epoch[047] Batch [1799]/[3760] Speed: 129.380566 samples/sec accuracy=66.169271 loss=1.339190 lr=0.005394 Epoch[047] Batch [1849]/[3760] Speed: 130.800817 samples/sec accuracy=66.165541 loss=1.338805 lr=0.005392 Epoch[047] Batch [1899]/[3760] Speed: 128.199142 samples/sec accuracy=66.174342 loss=1.338974 lr=0.005390 Epoch[047] Batch [1949]/[3760] Speed: 143.317107 samples/sec accuracy=66.169872 loss=1.339240 lr=0.005388 Epoch[047] Batch [1999]/[3760] Speed: 120.350211 samples/sec accuracy=66.135937 loss=1.339999 lr=0.005386 Epoch[047] Batch [2049]/[3760] Speed: 149.362463 samples/sec accuracy=66.154726 loss=1.338997 lr=0.005384 Epoch[047] Batch [2099]/[3760] Speed: 127.289255 samples/sec accuracy=66.112351 loss=1.340320 lr=0.005382 Epoch[047] Batch [2149]/[3760] Speed: 130.789000 samples/sec accuracy=66.122093 loss=1.340560 lr=0.005380 Epoch[047] Batch [2199]/[3760] Speed: 132.989896 samples/sec accuracy=66.108665 loss=1.340835 lr=0.005378 Epoch[047] Batch [2249]/[3760] Speed: 119.928520 samples/sec accuracy=66.068750 loss=1.342123 lr=0.005376 Epoch[047] Batch [2299]/[3760] Speed: 153.902900 samples/sec accuracy=66.055027 loss=1.342953 lr=0.005374 Epoch[047] Batch [2349]/[3760] Speed: 118.339592 samples/sec accuracy=66.042553 loss=1.343772 lr=0.005371 Epoch[047] Batch [2399]/[3760] Speed: 142.908270 samples/sec accuracy=66.037109 loss=1.343610 lr=0.005369 Epoch[047] Batch [2449]/[3760] Speed: 122.988238 samples/sec accuracy=66.049745 loss=1.344029 lr=0.005367 Epoch[047] Batch [2499]/[3760] Speed: 138.306135 samples/sec accuracy=66.060625 loss=1.343823 lr=0.005365 Epoch[047] Batch [2549]/[3760] Speed: 129.580519 samples/sec accuracy=66.079044 loss=1.344186 lr=0.005363 Epoch[047] Batch [2599]/[3760] Speed: 125.628090 samples/sec accuracy=66.069111 loss=1.344245 lr=0.005361 Epoch[047] Batch [2649]/[3760] Speed: 135.597677 samples/sec accuracy=66.066038 loss=1.344293 lr=0.005359 Epoch[047] Batch [2699]/[3760] Speed: 144.179003 samples/sec accuracy=66.060764 loss=1.344434 lr=0.005357 Epoch[047] Batch [2749]/[3760] Speed: 122.162628 samples/sec accuracy=66.048864 loss=1.345170 lr=0.005355 Epoch[047] Batch [2799]/[3760] Speed: 130.307758 samples/sec accuracy=66.023996 loss=1.345992 lr=0.005353 Epoch[047] Batch [2849]/[3760] Speed: 137.794807 samples/sec accuracy=66.005482 loss=1.346935 lr=0.005351 Epoch[047] Batch [2899]/[3760] Speed: 119.245849 samples/sec accuracy=65.995690 loss=1.347233 lr=0.005348 Epoch[047] Batch [2949]/[3760] Speed: 149.520842 samples/sec accuracy=65.975106 loss=1.348015 lr=0.005346 Epoch[047] Batch [2999]/[3760] Speed: 124.289226 samples/sec accuracy=65.952083 loss=1.348775 lr=0.005344 Epoch[047] Batch [3049]/[3760] Speed: 132.309676 samples/sec accuracy=65.940061 loss=1.349230 lr=0.005342 Epoch[047] Batch [3099]/[3760] Speed: 133.508733 samples/sec accuracy=65.923387 loss=1.350167 lr=0.005340 Epoch[047] Batch [3149]/[3760] Speed: 131.562474 samples/sec accuracy=65.905754 loss=1.350300 lr=0.005338 Epoch[047] Batch [3199]/[3760] Speed: 132.604230 samples/sec accuracy=65.897949 loss=1.351043 lr=0.005336 Epoch[047] Batch [3249]/[3760] Speed: 127.674796 samples/sec accuracy=65.891827 loss=1.350624 lr=0.005334 Epoch[047] Batch [3299]/[3760] Speed: 140.426650 samples/sec accuracy=65.878314 loss=1.351181 lr=0.005332 Epoch[047] Batch [3349]/[3760] Speed: 124.131020 samples/sec accuracy=65.895989 loss=1.350758 lr=0.005330 Epoch[047] Batch [3399]/[3760] Speed: 144.349319 samples/sec accuracy=65.882353 loss=1.351012 lr=0.005328 Epoch[047] Batch [3449]/[3760] Speed: 119.949886 samples/sec accuracy=65.879529 loss=1.351689 lr=0.005326 Epoch[047] Batch [3499]/[3760] Speed: 138.974465 samples/sec accuracy=65.850893 loss=1.352250 lr=0.005323 Epoch[047] Batch [3549]/[3760] Speed: 130.565410 samples/sec accuracy=65.838468 loss=1.353085 lr=0.005321 Epoch[047] Batch [3599]/[3760] Speed: 130.245149 samples/sec accuracy=65.836372 loss=1.353194 lr=0.005319 Epoch[047] Batch [3649]/[3760] Speed: 142.843380 samples/sec accuracy=65.818493 loss=1.353946 lr=0.005317 Epoch[047] Batch [3699]/[3760] Speed: 123.640661 samples/sec accuracy=65.794764 loss=1.354710 lr=0.005315 Epoch[047] Batch [3749]/[3760] Speed: 160.403302 samples/sec accuracy=65.805000 loss=1.354022 lr=0.005313 Batch [0049]/[0303]: acc-top1=58.781250 acc-top5=81.250000 Batch [0099]/[0303]: acc-top1=58.718750 acc-top5=80.906250 Batch [0149]/[0303]: acc-top1=58.458333 acc-top5=81.031250 Batch [0199]/[0303]: acc-top1=58.218750 acc-top5=81.187500 Batch [0249]/[0303]: acc-top1=58.206250 acc-top5=81.068750 Batch [0299]/[0303]: acc-top1=58.473958 acc-top5=81.244792 [Epoch 047] training: accuracy=65.801197 loss=1.354099 [Epoch 047] speed: 131 samples/sec time cost: 2017.042557 [Epoch 047] validation: acc-top1=58.493193 acc-top5=81.224216 loss=1.972653 Epoch[048] Batch [0049]/[3760] Speed: 93.989286 samples/sec accuracy=66.312500 loss=1.291561 lr=0.005311 Epoch[048] Batch [0099]/[3760] Speed: 154.231645 samples/sec accuracy=66.609375 loss=1.294088 lr=0.005308 Epoch[048] Batch [0149]/[3760] Speed: 113.939046 samples/sec accuracy=66.677083 loss=1.293056 lr=0.005306 Epoch[048] Batch [0199]/[3760] Speed: 150.301649 samples/sec accuracy=66.789062 loss=1.299876 lr=0.005304 Epoch[048] Batch [0249]/[3760] Speed: 119.459417 samples/sec accuracy=66.468750 loss=1.314764 lr=0.005302 Epoch[048] Batch [0299]/[3760] Speed: 133.292987 samples/sec accuracy=66.682292 loss=1.310040 lr=0.005300 Epoch[048] Batch [0349]/[3760] Speed: 124.632659 samples/sec accuracy=66.959821 loss=1.304005 lr=0.005298 Epoch[048] Batch [0399]/[3760] Speed: 138.100949 samples/sec accuracy=67.031250 loss=1.302709 lr=0.005296 Epoch[048] Batch [0449]/[3760] Speed: 119.577551 samples/sec accuracy=66.947917 loss=1.302022 lr=0.005294 Epoch[048] Batch [0499]/[3760] Speed: 142.611061 samples/sec accuracy=66.950000 loss=1.304548 lr=0.005292 Epoch[048] Batch [0549]/[3760] Speed: 123.156652 samples/sec accuracy=67.102273 loss=1.298696 lr=0.005290 Epoch[048] Batch [0599]/[3760] Speed: 138.598610 samples/sec accuracy=67.221354 loss=1.296456 lr=0.005288 Epoch[048] Batch [0649]/[3760] Speed: 124.516994 samples/sec accuracy=67.329327 loss=1.290660 lr=0.005286 Epoch[048] Batch [0699]/[3760] Speed: 134.607021 samples/sec accuracy=67.370536 loss=1.289071 lr=0.005283 Epoch[048] Batch [0749]/[3760] Speed: 123.301480 samples/sec accuracy=67.277083 loss=1.289679 lr=0.005281 Epoch[048] Batch [0799]/[3760] Speed: 156.609810 samples/sec accuracy=67.226562 loss=1.292768 lr=0.005279 Epoch[048] Batch [0849]/[3760] Speed: 123.048297 samples/sec accuracy=67.207721 loss=1.292629 lr=0.005277 Epoch[048] Batch [0899]/[3760] Speed: 141.043469 samples/sec accuracy=67.177083 loss=1.294850 lr=0.005275 Epoch[048] Batch [0949]/[3760] Speed: 123.315125 samples/sec accuracy=67.090461 loss=1.299604 lr=0.005273 Epoch[048] Batch [0999]/[3760] Speed: 143.226164 samples/sec accuracy=67.078125 loss=1.298849 lr=0.005271 Epoch[048] Batch [1049]/[3760] Speed: 118.341865 samples/sec accuracy=67.050595 loss=1.298842 lr=0.005269 Epoch[048] Batch [1099]/[3760] Speed: 145.810297 samples/sec accuracy=67.014205 loss=1.299335 lr=0.005267 Epoch[048] Batch [1149]/[3760] Speed: 113.851601 samples/sec accuracy=67.016304 loss=1.298931 lr=0.005265 Epoch[048] Batch [1199]/[3760] Speed: 154.337363 samples/sec accuracy=66.985677 loss=1.300701 lr=0.005263 Epoch[048] Batch [1249]/[3760] Speed: 126.194169 samples/sec accuracy=66.936250 loss=1.302982 lr=0.005260 Epoch[048] Batch [1299]/[3760] Speed: 130.978095 samples/sec accuracy=66.850962 loss=1.307232 lr=0.005258 Epoch[048] Batch [1349]/[3760] Speed: 131.204502 samples/sec accuracy=66.813657 loss=1.308396 lr=0.005256 Epoch[048] Batch [1399]/[3760] Speed: 136.921083 samples/sec accuracy=66.771205 loss=1.310355 lr=0.005254 Epoch[048] Batch [1449]/[3760] Speed: 132.350927 samples/sec accuracy=66.696121 loss=1.313524 lr=0.005252 Epoch[048] Batch [1499]/[3760] Speed: 123.295434 samples/sec accuracy=66.639583 loss=1.315457 lr=0.005250 Epoch[048] Batch [1549]/[3760] Speed: 137.580546 samples/sec accuracy=66.639113 loss=1.314482 lr=0.005248 Epoch[048] Batch [1599]/[3760] Speed: 132.209500 samples/sec accuracy=66.587891 loss=1.316117 lr=0.005246 Epoch[048] Batch [1649]/[3760] Speed: 128.155327 samples/sec accuracy=66.599432 loss=1.315513 lr=0.005244 Epoch[048] Batch [1699]/[3760] Speed: 129.711435 samples/sec accuracy=66.616728 loss=1.314962 lr=0.005242 Epoch[048] Batch [1749]/[3760] Speed: 132.764828 samples/sec accuracy=66.605357 loss=1.316760 lr=0.005240 Epoch[048] Batch [1799]/[3760] Speed: 125.028045 samples/sec accuracy=66.622396 loss=1.315744 lr=0.005238 Epoch[048] Batch [1849]/[3760] Speed: 143.041436 samples/sec accuracy=66.606419 loss=1.317183 lr=0.005235 Epoch[048] Batch [1899]/[3760] Speed: 124.202522 samples/sec accuracy=66.593750 loss=1.317787 lr=0.005233 Epoch[048] Batch [1949]/[3760] Speed: 136.816581 samples/sec accuracy=66.579327 loss=1.318871 lr=0.005231 Epoch[048] Batch [1999]/[3760] Speed: 128.448045 samples/sec accuracy=66.539844 loss=1.321382 lr=0.005229 Epoch[048] Batch [2049]/[3760] Speed: 136.162185 samples/sec accuracy=66.530488 loss=1.321851 lr=0.005227 Epoch[048] Batch [2099]/[3760] Speed: 127.184734 samples/sec accuracy=66.473214 loss=1.323696 lr=0.005225 Epoch[048] Batch [2149]/[3760] Speed: 137.320484 samples/sec accuracy=66.473110 loss=1.324064 lr=0.005223 Epoch[048] Batch [2199]/[3760] Speed: 125.942389 samples/sec accuracy=66.470881 loss=1.324903 lr=0.005221 Epoch[048] Batch [2249]/[3760] Speed: 131.386414 samples/sec accuracy=66.457639 loss=1.326120 lr=0.005219 Epoch[048] Batch [2299]/[3760] Speed: 130.095278 samples/sec accuracy=66.449049 loss=1.327018 lr=0.005217 Epoch[048] Batch [2349]/[3760] Speed: 143.621721 samples/sec accuracy=66.448803 loss=1.327186 lr=0.005215 Epoch[048] Batch [2399]/[3760] Speed: 122.007876 samples/sec accuracy=66.432943 loss=1.327723 lr=0.005212 Epoch[048] Batch [2449]/[3760] Speed: 140.919250 samples/sec accuracy=66.431122 loss=1.328382 lr=0.005210 Epoch[048] Batch [2499]/[3760] Speed: 126.140209 samples/sec accuracy=66.420000 loss=1.328513 lr=0.005208 Epoch[048] Batch [2549]/[3760] Speed: 129.452325 samples/sec accuracy=66.446691 loss=1.327370 lr=0.005206 Epoch[048] Batch [2599]/[3760] Speed: 128.884118 samples/sec accuracy=66.447115 loss=1.326742 lr=0.005204 Epoch[048] Batch [2649]/[3760] Speed: 130.433932 samples/sec accuracy=66.422170 loss=1.327520 lr=0.005202 Epoch[048] Batch [2699]/[3760] Speed: 143.009506 samples/sec accuracy=66.427662 loss=1.327404 lr=0.005200 Epoch[048] Batch [2749]/[3760] Speed: 120.645253 samples/sec accuracy=66.410227 loss=1.327568 lr=0.005198 Epoch[048] Batch [2799]/[3760] Speed: 144.258297 samples/sec accuracy=66.395089 loss=1.328234 lr=0.005196 Epoch[048] Batch [2849]/[3760] Speed: 123.142683 samples/sec accuracy=66.375000 loss=1.328693 lr=0.005194 Epoch[048] Batch [2899]/[3760] Speed: 139.221191 samples/sec accuracy=66.361530 loss=1.328872 lr=0.005192 Epoch[048] Batch [2949]/[3760] Speed: 129.877409 samples/sec accuracy=66.332097 loss=1.330277 lr=0.005190 Epoch[048] Batch [2999]/[3760] Speed: 130.253535 samples/sec accuracy=66.352083 loss=1.329635 lr=0.005187 Epoch[048] Batch 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accuracy=66.304911 loss=1.331103 lr=0.005167 Epoch[048] Batch [3549]/[3760] Speed: 138.856124 samples/sec accuracy=66.298415 loss=1.331605 lr=0.005164 Epoch[048] Batch [3599]/[3760] Speed: 124.759034 samples/sec accuracy=66.268663 loss=1.332707 lr=0.005162 Epoch[048] Batch [3649]/[3760] Speed: 130.203017 samples/sec accuracy=66.249572 loss=1.333639 lr=0.005160 Epoch[048] Batch [3699]/[3760] Speed: 133.263287 samples/sec accuracy=66.237753 loss=1.334479 lr=0.005158 Epoch[048] Batch [3749]/[3760] Speed: 157.017327 samples/sec accuracy=66.226250 loss=1.335206 lr=0.005156 Batch [0049]/[0303]: acc-top1=58.781250 acc-top5=81.218750 Batch [0099]/[0303]: acc-top1=58.093750 acc-top5=81.328125 Batch [0149]/[0303]: acc-top1=58.166667 acc-top5=81.260417 Batch [0199]/[0303]: acc-top1=57.843750 acc-top5=81.281250 Batch [0249]/[0303]: acc-top1=57.856250 acc-top5=81.118750 Batch [0299]/[0303]: acc-top1=57.989583 acc-top5=81.317708 [Epoch 048] training: accuracy=66.224651 loss=1.335371 [Epoch 048] speed: 131 samples/sec time cost: 2017.435628 [Epoch 048] validation: acc-top1=57.982673 acc-top5=81.317038 loss=2.037731 Epoch[049] Batch [0049]/[3759] Speed: 95.911826 samples/sec accuracy=67.156250 loss=1.270902 lr=0.005154 Epoch[049] Batch [0099]/[3759] Speed: 149.638579 samples/sec accuracy=67.140625 loss=1.283622 lr=0.005152 Epoch[049] Batch [0149]/[3759] Speed: 118.154042 samples/sec accuracy=67.052083 loss=1.280605 lr=0.005149 Epoch[049] Batch [0199]/[3759] Speed: 135.534883 samples/sec accuracy=67.296875 loss=1.270625 lr=0.005147 Epoch[049] Batch [0249]/[3759] Speed: 120.359410 samples/sec accuracy=67.637500 loss=1.263719 lr=0.005145 Epoch[049] Batch [0299]/[3759] Speed: 136.882634 samples/sec accuracy=67.750000 loss=1.262483 lr=0.005143 Epoch[049] Batch [0349]/[3759] Speed: 122.027953 samples/sec accuracy=67.910714 loss=1.260745 lr=0.005141 Epoch[049] Batch [0399]/[3759] Speed: 152.505365 samples/sec accuracy=67.796875 loss=1.259290 lr=0.005139 Epoch[049] Batch [0449]/[3759] Speed: 110.276034 samples/sec accuracy=67.899306 loss=1.257165 lr=0.005137 Epoch[049] Batch [0499]/[3759] Speed: 160.635704 samples/sec accuracy=67.837500 loss=1.259462 lr=0.005135 Epoch[049] Batch [0549]/[3759] Speed: 116.894663 samples/sec accuracy=67.883523 loss=1.260881 lr=0.005133 Epoch[049] Batch [0599]/[3759] Speed: 138.519465 samples/sec accuracy=67.875000 loss=1.260468 lr=0.005131 Epoch[049] Batch [0649]/[3759] Speed: 125.833473 samples/sec accuracy=67.853365 loss=1.262291 lr=0.005129 Epoch[049] Batch [0699]/[3759] Speed: 132.383517 samples/sec accuracy=67.761161 loss=1.266321 lr=0.005126 Epoch[049] Batch [0749]/[3759] Speed: 141.221878 samples/sec accuracy=67.727083 loss=1.267934 lr=0.005124 Epoch[049] Batch [0799]/[3759] Speed: 122.395803 samples/sec accuracy=67.634766 loss=1.270549 lr=0.005122 Epoch[049] Batch [0849]/[3759] Speed: 144.283685 samples/sec accuracy=67.645221 loss=1.271637 lr=0.005120 Epoch[049] Batch [0899]/[3759] Speed: 121.423617 samples/sec accuracy=67.644097 loss=1.271612 lr=0.005118 Epoch[049] Batch [0949]/[3759] Speed: 126.429386 samples/sec accuracy=67.570724 loss=1.273422 lr=0.005116 Epoch[049] Batch [0999]/[3759] Speed: 133.299255 samples/sec accuracy=67.607812 loss=1.271487 lr=0.005114 Epoch[049] Batch [1049]/[3759] Speed: 138.084777 samples/sec accuracy=67.547619 loss=1.272584 lr=0.005112 Epoch[049] Batch [1099]/[3759] Speed: 123.296358 samples/sec accuracy=67.484375 loss=1.274640 lr=0.005110 Epoch[049] Batch [1149]/[3759] Speed: 145.858182 samples/sec accuracy=67.402174 loss=1.277229 lr=0.005108 Epoch[049] Batch [1199]/[3759] Speed: 121.902903 samples/sec accuracy=67.337240 loss=1.280036 lr=0.005106 Epoch[049] Batch [1249]/[3759] Speed: 134.611907 samples/sec accuracy=67.345000 loss=1.280803 lr=0.005103 Epoch[049] Batch [1299]/[3759] Speed: 137.937372 samples/sec accuracy=67.313702 loss=1.282714 lr=0.005101 Epoch[049] Batch [1349]/[3759] Speed: 124.033509 samples/sec accuracy=67.306713 loss=1.284079 lr=0.005099 Epoch[049] Batch [1399]/[3759] Speed: 143.481106 samples/sec accuracy=67.313616 loss=1.283876 lr=0.005097 Epoch[049] Batch [1449]/[3759] Speed: 119.440231 samples/sec accuracy=67.306034 loss=1.284517 lr=0.005095 Epoch[049] Batch [1499]/[3759] Speed: 136.679058 samples/sec accuracy=67.266667 loss=1.286305 lr=0.005093 Epoch[049] Batch [1549]/[3759] Speed: 121.535811 samples/sec accuracy=67.251008 loss=1.286986 lr=0.005091 Epoch[049] Batch [1599]/[3759] Speed: 146.414688 samples/sec accuracy=67.238281 loss=1.286577 lr=0.005089 Epoch[049] Batch [1649]/[3759] Speed: 118.940494 samples/sec accuracy=67.196970 loss=1.288765 lr=0.005087 Epoch[049] Batch [1699]/[3759] Speed: 147.051552 samples/sec accuracy=67.185662 loss=1.289151 lr=0.005085 Epoch[049] Batch [1749]/[3759] Speed: 128.418801 samples/sec accuracy=67.138393 loss=1.292092 lr=0.005083 Epoch[049] Batch [1799]/[3759] Speed: 136.326626 samples/sec accuracy=67.093750 loss=1.293897 lr=0.005081 Epoch[049] Batch [1849]/[3759] Speed: 119.208048 samples/sec accuracy=67.067568 loss=1.295397 lr=0.005078 Epoch[049] Batch [1899]/[3759] Speed: 134.880629 samples/sec accuracy=67.067434 loss=1.296535 lr=0.005076 Epoch[049] Batch [1949]/[3759] Speed: 130.645172 samples/sec accuracy=67.044872 loss=1.297618 lr=0.005074 Epoch[049] Batch [1999]/[3759] Speed: 132.163163 samples/sec accuracy=67.047656 loss=1.298035 lr=0.005072 Epoch[049] Batch [2049]/[3759] Speed: 129.612875 samples/sec accuracy=67.022866 loss=1.298512 lr=0.005070 Epoch[049] Batch [2099]/[3759] Speed: 137.798247 samples/sec accuracy=67.027530 loss=1.298999 lr=0.005068 Epoch[049] Batch [2149]/[3759] Speed: 129.680292 samples/sec accuracy=66.968023 loss=1.300347 lr=0.005066 Epoch[049] Batch [2199]/[3759] Speed: 132.582287 samples/sec accuracy=66.968750 loss=1.300737 lr=0.005064 Epoch[049] Batch [2249]/[3759] Speed: 132.594443 samples/sec accuracy=66.931944 loss=1.302089 lr=0.005062 Epoch[049] Batch [2299]/[3759] Speed: 126.931654 samples/sec accuracy=66.919837 loss=1.302865 lr=0.005060 Epoch[049] Batch [2349]/[3759] Speed: 133.997561 samples/sec accuracy=66.883644 loss=1.303931 lr=0.005058 Epoch[049] Batch [2399]/[3759] Speed: 135.518772 samples/sec accuracy=66.824219 loss=1.305708 lr=0.005055 Epoch[049] Batch [2449]/[3759] Speed: 126.754749 samples/sec accuracy=66.832908 loss=1.305655 lr=0.005053 Epoch[049] Batch [2499]/[3759] Speed: 137.376496 samples/sec accuracy=66.788125 loss=1.307386 lr=0.005051 Epoch[049] Batch [2549]/[3759] Speed: 127.386727 samples/sec accuracy=66.792279 loss=1.308068 lr=0.005049 Epoch[049] Batch [2599]/[3759] Speed: 134.459434 samples/sec accuracy=66.791466 loss=1.308811 lr=0.005047 Epoch[049] Batch [2649]/[3759] Speed: 128.520055 samples/sec accuracy=66.744693 loss=1.310328 lr=0.005045 Epoch[049] Batch [2699]/[3759] Speed: 134.882898 samples/sec accuracy=66.747106 loss=1.309856 lr=0.005043 Epoch[049] Batch [2749]/[3759] Speed: 127.326728 samples/sec accuracy=66.724432 loss=1.310471 lr=0.005041 Epoch[049] Batch [2799]/[3759] Speed: 129.427922 samples/sec accuracy=66.764509 loss=1.309532 lr=0.005039 Epoch[049] Batch [2849]/[3759] Speed: 132.796562 samples/sec accuracy=66.754386 loss=1.309828 lr=0.005037 Epoch[049] Batch [2899]/[3759] Speed: 124.988288 samples/sec accuracy=66.747306 loss=1.309729 lr=0.005035 Epoch[049] Batch [2949]/[3759] Speed: 138.427625 samples/sec accuracy=66.720339 loss=1.311052 lr=0.005032 Epoch[049] Batch [2999]/[3759] Speed: 123.334349 samples/sec accuracy=66.690625 loss=1.312548 lr=0.005030 Epoch[049] Batch [3049]/[3759] Speed: 146.151771 samples/sec accuracy=66.687500 loss=1.313164 lr=0.005028 Epoch[049] Batch [3099]/[3759] Speed: 115.531083 samples/sec accuracy=66.674395 loss=1.313841 lr=0.005026 Epoch[049] Batch [3149]/[3759] Speed: 141.160479 samples/sec accuracy=66.639881 loss=1.314986 lr=0.005024 Epoch[049] Batch [3199]/[3759] Speed: 123.419886 samples/sec accuracy=66.619141 loss=1.315589 lr=0.005022 Epoch[049] Batch [3249]/[3759] Speed: 145.071660 samples/sec accuracy=66.595192 loss=1.316698 lr=0.005020 Epoch[049] Batch [3299]/[3759] Speed: 140.691991 samples/sec accuracy=66.591856 loss=1.317050 lr=0.005018 Epoch[049] Batch [3349]/[3759] Speed: 120.996045 samples/sec accuracy=66.601679 loss=1.316872 lr=0.005016 Epoch[049] Batch [3399]/[3759] Speed: 130.501478 samples/sec accuracy=66.579504 loss=1.317851 lr=0.005014 Epoch[049] Batch [3449]/[3759] Speed: 134.086980 samples/sec accuracy=66.555254 loss=1.318866 lr=0.005012 Epoch[049] Batch [3499]/[3759] Speed: 142.110737 samples/sec accuracy=66.537500 loss=1.319864 lr=0.005009 Epoch[049] Batch [3549]/[3759] Speed: 118.636832 samples/sec accuracy=66.534331 loss=1.319758 lr=0.005007 Epoch[049] Batch [3599]/[3759] Speed: 146.223289 samples/sec accuracy=66.521267 loss=1.320442 lr=0.005005 Epoch[049] Batch [3649]/[3759] Speed: 118.997586 samples/sec accuracy=66.521404 loss=1.320740 lr=0.005003 Epoch[049] Batch [3699]/[3759] Speed: 133.058965 samples/sec accuracy=66.520270 loss=1.320893 lr=0.005001 Epoch[049] Batch [3749]/[3759] Speed: 154.967033 samples/sec accuracy=66.527917 loss=1.320982 lr=0.004999 Batch [0049]/[0303]: acc-top1=58.281250 acc-top5=81.062500 Batch [0099]/[0303]: acc-top1=57.921875 acc-top5=81.109375 Batch [0149]/[0303]: acc-top1=58.302083 acc-top5=81.250000 Batch [0199]/[0303]: acc-top1=58.195312 acc-top5=81.171875 Batch [0249]/[0303]: acc-top1=58.081250 acc-top5=80.931250 Batch [0299]/[0303]: acc-top1=58.244792 acc-top5=81.057292 [Epoch 049] training: accuracy=66.529496 loss=1.320980 [Epoch 049] speed: 131 samples/sec time cost: 2022.493645 [Epoch 049] validation: acc-top1=58.245668 acc-top5=81.048886 loss=2.029381 Epoch[050] Batch [0049]/[3760] Speed: 96.370503 samples/sec accuracy=68.187500 loss=1.281645 lr=0.004997 Epoch[050] Batch [0099]/[3760] Speed: 132.340763 samples/sec accuracy=67.796875 loss=1.270504 lr=0.004994 Epoch[050] Batch [0149]/[3760] Speed: 121.689018 samples/sec accuracy=67.822917 loss=1.282349 lr=0.004992 Epoch[050] Batch [0199]/[3760] Speed: 160.138005 samples/sec accuracy=67.968750 loss=1.279174 lr=0.004990 Epoch[050] Batch [0249]/[3760] Speed: 111.288547 samples/sec accuracy=68.006250 loss=1.276668 lr=0.004988 Epoch[050] Batch [0299]/[3760] Speed: 151.607746 samples/sec accuracy=67.911458 loss=1.276323 lr=0.004986 Epoch[050] Batch [0349]/[3760] Speed: 120.337856 samples/sec accuracy=68.017857 loss=1.266871 lr=0.004984 Epoch[050] Batch [0399]/[3760] Speed: 138.539690 samples/sec accuracy=68.035156 loss=1.267960 lr=0.004982 Epoch[050] Batch [0449]/[3760] Speed: 129.683110 samples/sec accuracy=67.868056 loss=1.276321 lr=0.004980 Epoch[050] Batch [0499]/[3760] Speed: 130.771480 samples/sec accuracy=67.684375 loss=1.280408 lr=0.004978 Epoch[050] Batch [0549]/[3760] Speed: 126.564685 samples/sec accuracy=67.667614 loss=1.282824 lr=0.004976 Epoch[050] Batch [0599]/[3760] Speed: 127.191205 samples/sec accuracy=67.627604 loss=1.285464 lr=0.004974 Epoch[050] Batch [0649]/[3760] Speed: 138.636874 samples/sec accuracy=67.694712 loss=1.284371 lr=0.004971 Epoch[050] Batch [0699]/[3760] Speed: 120.907659 samples/sec accuracy=67.676339 loss=1.282854 lr=0.004969 Epoch[050] Batch [0749]/[3760] Speed: 144.376528 samples/sec accuracy=67.752083 loss=1.281206 lr=0.004967 Epoch[050] Batch [0799]/[3760] Speed: 121.281579 samples/sec accuracy=67.720703 loss=1.280053 lr=0.004965 Epoch[050] Batch [0849]/[3760] Speed: 140.022456 samples/sec accuracy=67.722426 loss=1.279401 lr=0.004963 Epoch[050] Batch [0899]/[3760] Speed: 125.108401 samples/sec accuracy=67.713542 loss=1.280460 lr=0.004961 Epoch[050] Batch [0949]/[3760] Speed: 136.818072 samples/sec accuracy=67.777961 loss=1.277270 lr=0.004959 Epoch[050] Batch [0999]/[3760] Speed: 120.704271 samples/sec accuracy=67.853125 loss=1.275570 lr=0.004957 Epoch[050] Batch [1049]/[3760] Speed: 145.361964 samples/sec accuracy=67.790179 loss=1.279541 lr=0.004955 Epoch[050] Batch [1099]/[3760] Speed: 124.596914 samples/sec accuracy=67.741477 loss=1.280849 lr=0.004953 Epoch[050] Batch [1149]/[3760] Speed: 141.505169 samples/sec accuracy=67.732337 loss=1.281968 lr=0.004951 Epoch[050] Batch [1199]/[3760] Speed: 123.587104 samples/sec accuracy=67.661458 loss=1.283143 lr=0.004948 Epoch[050] Batch [1249]/[3760] Speed: 132.092834 samples/sec accuracy=67.668750 loss=1.282638 lr=0.004946 Epoch[050] Batch [1299]/[3760] Speed: 137.086160 samples/sec accuracy=67.604567 loss=1.284419 lr=0.004944 Epoch[050] Batch [1349]/[3760] Speed: 125.845472 samples/sec accuracy=67.549769 loss=1.285549 lr=0.004942 Epoch[050] Batch [1399]/[3760] Speed: 136.855994 samples/sec accuracy=67.544643 loss=1.285325 lr=0.004940 Epoch[050] Batch [1449]/[3760] Speed: 128.199344 samples/sec accuracy=67.544181 loss=1.285106 lr=0.004938 Epoch[050] Batch [1499]/[3760] Speed: 128.777242 samples/sec accuracy=67.502083 loss=1.286327 lr=0.004936 Epoch[050] Batch [1549]/[3760] Speed: 129.967892 samples/sec accuracy=67.449597 loss=1.287687 lr=0.004934 Epoch[050] Batch [1599]/[3760] Speed: 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loss=1.294762 lr=0.004913 Epoch[050] Batch [2099]/[3760] Speed: 123.518207 samples/sec accuracy=67.272321 loss=1.294752 lr=0.004911 Epoch[050] Batch [2149]/[3760] Speed: 150.266416 samples/sec accuracy=67.220930 loss=1.296405 lr=0.004909 Epoch[050] Batch [2199]/[3760] Speed: 114.153527 samples/sec accuracy=67.244318 loss=1.295730 lr=0.004907 Epoch[050] Batch [2249]/[3760] Speed: 155.674605 samples/sec accuracy=67.250000 loss=1.295715 lr=0.004905 Epoch[050] Batch [2299]/[3760] Speed: 111.916462 samples/sec accuracy=67.216033 loss=1.296537 lr=0.004903 Epoch[050] Batch [2349]/[3760] Speed: 157.651472 samples/sec accuracy=67.222074 loss=1.295881 lr=0.004900 Epoch[050] Batch [2399]/[3760] Speed: 112.059158 samples/sec accuracy=67.210938 loss=1.296025 lr=0.004898 Epoch[050] Batch [2449]/[3760] Speed: 154.804900 samples/sec accuracy=67.185587 loss=1.296997 lr=0.004896 Epoch[050] Batch [2499]/[3760] Speed: 115.882207 samples/sec accuracy=67.192500 loss=1.296863 lr=0.004894 Epoch[050] Batch 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accuracy=67.072396 loss=1.299739 lr=0.004873 Epoch[050] Batch [3049]/[3760] Speed: 116.298082 samples/sec accuracy=67.049693 loss=1.300636 lr=0.004871 Epoch[050] Batch [3099]/[3760] Speed: 151.498794 samples/sec accuracy=67.022177 loss=1.301611 lr=0.004869 Epoch[050] Batch [3149]/[3760] Speed: 117.177295 samples/sec accuracy=67.037698 loss=1.301279 lr=0.004867 Epoch[050] Batch [3199]/[3760] Speed: 143.631995 samples/sec accuracy=67.017090 loss=1.301585 lr=0.004865 Epoch[050] Batch [3249]/[3760] Speed: 126.404074 samples/sec accuracy=67.017308 loss=1.301435 lr=0.004863 Epoch[050] Batch [3299]/[3760] Speed: 132.830151 samples/sec accuracy=67.014205 loss=1.301600 lr=0.004861 Epoch[050] Batch [3349]/[3760] Speed: 127.993570 samples/sec accuracy=66.980410 loss=1.302567 lr=0.004859 Epoch[050] Batch [3399]/[3760] Speed: 136.177375 samples/sec accuracy=66.960018 loss=1.304088 lr=0.004857 Epoch[050] Batch [3449]/[3760] Speed: 133.862733 samples/sec accuracy=66.939312 loss=1.305295 lr=0.004854 Epoch[050] Batch [3499]/[3760] Speed: 130.408424 samples/sec accuracy=66.931696 loss=1.305623 lr=0.004852 Epoch[050] Batch [3549]/[3760] Speed: 129.419288 samples/sec accuracy=66.918574 loss=1.305958 lr=0.004850 Epoch[050] Batch [3599]/[3760] Speed: 132.849320 samples/sec accuracy=66.903212 loss=1.306590 lr=0.004848 Epoch[050] Batch [3649]/[3760] Speed: 135.476096 samples/sec accuracy=66.911815 loss=1.306671 lr=0.004846 Epoch[050] Batch [3699]/[3760] Speed: 124.646243 samples/sec accuracy=66.902449 loss=1.306958 lr=0.004844 Epoch[050] Batch [3749]/[3760] Speed: 154.468533 samples/sec accuracy=66.906250 loss=1.306703 lr=0.004842 Batch [0049]/[0303]: acc-top1=57.906250 acc-top5=81.156250 Batch [0099]/[0303]: acc-top1=57.359375 acc-top5=81.125000 Batch [0149]/[0303]: acc-top1=57.864583 acc-top5=81.166667 Batch [0199]/[0303]: acc-top1=57.546875 acc-top5=81.164062 Batch [0249]/[0303]: acc-top1=57.475000 acc-top5=81.056250 Batch [0299]/[0303]: acc-top1=57.781250 acc-top5=81.223958 [Epoch 050] training: accuracy=66.906998 loss=1.306707 [Epoch 050] speed: 130 samples/sec time cost: 2024.491972 [Epoch 050] validation: acc-top1=57.755776 acc-top5=81.224216 loss=2.006512 Epoch[051] Batch [0049]/[3760] Speed: 92.607975 samples/sec accuracy=67.875000 loss=1.256698 lr=0.004839 Epoch[051] Batch [0099]/[3760] Speed: 121.650660 samples/sec accuracy=67.578125 loss=1.272151 lr=0.004837 Epoch[051] Batch [0149]/[3760] Speed: 145.391915 samples/sec accuracy=67.364583 loss=1.278688 lr=0.004835 Epoch[051] Batch [0199]/[3760] Speed: 121.889646 samples/sec accuracy=67.289062 loss=1.283662 lr=0.004833 Epoch[051] Batch [0249]/[3760] Speed: 139.835372 samples/sec accuracy=67.393750 loss=1.274301 lr=0.004831 Epoch[051] Batch [0299]/[3760] Speed: 123.164320 samples/sec accuracy=67.447917 loss=1.276834 lr=0.004829 Epoch[051] Batch [0349]/[3760] Speed: 141.600375 samples/sec accuracy=67.526786 loss=1.272997 lr=0.004827 Epoch[051] Batch [0399]/[3760] Speed: 119.495148 samples/sec accuracy=67.507812 loss=1.271445 lr=0.004825 Epoch[051] Batch [0449]/[3760] Speed: 145.357304 samples/sec accuracy=67.593750 loss=1.267197 lr=0.004823 Epoch[051] Batch [0499]/[3760] Speed: 122.222785 samples/sec accuracy=67.515625 loss=1.268232 lr=0.004821 Epoch[051] Batch [0549]/[3760] Speed: 138.656845 samples/sec accuracy=67.667614 loss=1.264385 lr=0.004819 Epoch[051] Batch [0599]/[3760] Speed: 133.103270 samples/sec accuracy=67.661458 loss=1.264684 lr=0.004816 Epoch[051] Batch [0649]/[3760] Speed: 135.899374 samples/sec accuracy=67.757212 loss=1.262939 lr=0.004814 Epoch[051] Batch [0699]/[3760] Speed: 122.644907 samples/sec accuracy=67.656250 loss=1.267113 lr=0.004812 Epoch[051] Batch [0749]/[3760] Speed: 142.083857 samples/sec accuracy=67.631250 loss=1.266067 lr=0.004810 Epoch[051] Batch [0799]/[3760] Speed: 123.053830 samples/sec accuracy=67.601562 loss=1.266328 lr=0.004808 Epoch[051] Batch [0849]/[3760] Speed: 142.543299 samples/sec accuracy=67.623162 loss=1.266036 lr=0.004806 Epoch[051] Batch [0899]/[3760] Speed: 128.670386 samples/sec accuracy=67.553819 loss=1.268294 lr=0.004804 Epoch[051] Batch [0949]/[3760] Speed: 131.265057 samples/sec accuracy=67.536184 loss=1.268983 lr=0.004802 Epoch[051] Batch [0999]/[3760] Speed: 119.200725 samples/sec accuracy=67.585938 loss=1.268209 lr=0.004800 Epoch[051] Batch [1049]/[3760] Speed: 142.873265 samples/sec accuracy=67.543155 loss=1.270024 lr=0.004798 Epoch[051] Batch [1099]/[3760] Speed: 121.594247 samples/sec accuracy=67.495739 loss=1.271487 lr=0.004796 Epoch[051] Batch [1149]/[3760] Speed: 139.307610 samples/sec accuracy=67.475543 loss=1.270908 lr=0.004794 Epoch[051] Batch [1199]/[3760] Speed: 126.770490 samples/sec accuracy=67.493490 loss=1.270633 lr=0.004791 Epoch[051] Batch [1249]/[3760] Speed: 142.034025 samples/sec accuracy=67.523750 loss=1.269310 lr=0.004789 Epoch[051] Batch [1299]/[3760] Speed: 122.937252 samples/sec accuracy=67.524038 loss=1.269720 lr=0.004787 Epoch[051] Batch [1349]/[3760] Speed: 137.045247 samples/sec accuracy=67.538194 loss=1.269558 lr=0.004785 Epoch[051] Batch [1399]/[3760] Speed: 142.543187 samples/sec accuracy=67.502232 loss=1.271449 lr=0.004783 Epoch[051] Batch [1449]/[3760] Speed: 119.794267 samples/sec accuracy=67.469828 loss=1.272443 lr=0.004781 Epoch[051] Batch [1499]/[3760] Speed: 139.863174 samples/sec accuracy=67.442708 loss=1.274283 lr=0.004779 Epoch[051] Batch [1549]/[3760] Speed: 123.933264 samples/sec accuracy=67.414315 loss=1.275157 lr=0.004777 Epoch[051] Batch [1599]/[3760] Speed: 139.579159 samples/sec accuracy=67.459961 loss=1.274462 lr=0.004775 Epoch[051] Batch [1649]/[3760] Speed: 119.104543 samples/sec accuracy=67.481061 loss=1.274991 lr=0.004773 Epoch[051] Batch [1699]/[3760] Speed: 139.469381 samples/sec accuracy=67.467831 loss=1.276099 lr=0.004771 Epoch[051] Batch [1749]/[3760] Speed: 125.724158 samples/sec accuracy=67.468750 loss=1.277014 lr=0.004768 Epoch[051] Batch [1799]/[3760] Speed: 136.653470 samples/sec accuracy=67.459201 loss=1.278158 lr=0.004766 Epoch[051] Batch [1849]/[3760] Speed: 130.763202 samples/sec accuracy=67.451014 loss=1.278985 lr=0.004764 Epoch[051] Batch [1899]/[3760] Speed: 128.764862 samples/sec accuracy=67.461349 loss=1.279095 lr=0.004762 Epoch[051] Batch [1949]/[3760] Speed: 136.213161 samples/sec accuracy=67.466346 loss=1.279110 lr=0.004760 Epoch[051] Batch [1999]/[3760] Speed: 128.085302 samples/sec accuracy=67.492188 loss=1.279096 lr=0.004758 Epoch[051] Batch [2049]/[3760] Speed: 126.144064 samples/sec accuracy=67.483232 loss=1.278517 lr=0.004756 Epoch[051] Batch [2099]/[3760] Speed: 140.381523 samples/sec accuracy=67.507440 loss=1.278564 lr=0.004754 Epoch[051] Batch [2149]/[3760] Speed: 127.764331 samples/sec accuracy=67.527616 loss=1.278212 lr=0.004752 Epoch[051] Batch [2199]/[3760] Speed: 132.680396 samples/sec accuracy=67.536932 loss=1.278193 lr=0.004750 Epoch[051] Batch [2249]/[3760] Speed: 129.503731 samples/sec accuracy=67.518750 loss=1.278737 lr=0.004748 Epoch[051] Batch [2299]/[3760] Speed: 142.976820 samples/sec accuracy=67.496603 loss=1.279768 lr=0.004746 Epoch[051] Batch [2349]/[3760] Speed: 130.129250 samples/sec accuracy=67.492686 loss=1.279797 lr=0.004743 Epoch[051] Batch [2399]/[3760] Speed: 137.018388 samples/sec accuracy=67.469401 loss=1.280130 lr=0.004741 Epoch[051] Batch [2449]/[3760] Speed: 129.055858 samples/sec accuracy=67.473852 loss=1.279865 lr=0.004739 Epoch[051] Batch [2499]/[3760] Speed: 133.960167 samples/sec accuracy=67.475625 loss=1.279477 lr=0.004737 Epoch[051] Batch [2549]/[3760] Speed: 128.473937 samples/sec accuracy=67.463848 loss=1.280072 lr=0.004735 Epoch[051] Batch [2599]/[3760] Speed: 128.754246 samples/sec accuracy=67.437500 loss=1.280968 lr=0.004733 Epoch[051] Batch [2649]/[3760] Speed: 132.224316 samples/sec accuracy=67.459906 loss=1.280804 lr=0.004731 Epoch[051] Batch [2699]/[3760] Speed: 129.133402 samples/sec accuracy=67.452546 loss=1.280840 lr=0.004729 Epoch[051] Batch [2749]/[3760] Speed: 136.460207 samples/sec accuracy=67.440341 loss=1.281191 lr=0.004727 Epoch[051] Batch [2799]/[3760] Speed: 120.468246 samples/sec accuracy=67.394531 loss=1.283034 lr=0.004725 Epoch[051] Batch [2849]/[3760] Speed: 141.479342 samples/sec accuracy=67.367873 loss=1.283685 lr=0.004723 Epoch[051] Batch [2899]/[3760] Speed: 123.397931 samples/sec accuracy=67.351293 loss=1.283998 lr=0.004720 Epoch[051] Batch [2949]/[3760] Speed: 136.255443 samples/sec accuracy=67.369174 loss=1.283892 lr=0.004718 Epoch[051] Batch [2999]/[3760] Speed: 122.216233 samples/sec accuracy=67.379688 loss=1.283365 lr=0.004716 Epoch[051] Batch [3049]/[3760] Speed: 138.392433 samples/sec accuracy=67.363217 loss=1.284392 lr=0.004714 Epoch[051] Batch [3099]/[3760] Speed: 141.419866 samples/sec accuracy=67.342742 loss=1.285229 lr=0.004712 Epoch[051] Batch [3149]/[3760] Speed: 129.117909 samples/sec accuracy=67.326885 loss=1.286189 lr=0.004710 Epoch[051] Batch [3199]/[3760] Speed: 138.124731 samples/sec accuracy=67.316406 loss=1.286761 lr=0.004708 Epoch[051] Batch [3249]/[3760] Speed: 116.448096 samples/sec accuracy=67.327404 loss=1.286227 lr=0.004706 Epoch[051] Batch [3299]/[3760] Speed: 150.631700 samples/sec accuracy=67.336174 loss=1.285370 lr=0.004704 Epoch[051] Batch [3349]/[3760] Speed: 117.491400 samples/sec accuracy=67.329291 loss=1.285675 lr=0.004702 Epoch[051] Batch [3399]/[3760] Speed: 143.444879 samples/sec accuracy=67.326746 loss=1.285869 lr=0.004700 Epoch[051] Batch [3449]/[3760] Speed: 123.302234 samples/sec accuracy=67.346920 loss=1.285665 lr=0.004698 Epoch[051] Batch [3499]/[3760] Speed: 129.163941 samples/sec accuracy=67.325893 loss=1.286426 lr=0.004695 Epoch[051] Batch [3549]/[3760] Speed: 134.354462 samples/sec accuracy=67.297535 loss=1.287544 lr=0.004693 Epoch[051] Batch [3599]/[3760] Speed: 143.916582 samples/sec accuracy=67.286024 loss=1.288271 lr=0.004691 Epoch[051] Batch [3649]/[3760] Speed: 124.308448 samples/sec accuracy=67.266267 loss=1.288625 lr=0.004689 Epoch[051] Batch [3699]/[3760] Speed: 130.022426 samples/sec accuracy=67.232686 loss=1.289630 lr=0.004687 Epoch[051] Batch [3749]/[3760] Speed: 153.712254 samples/sec accuracy=67.238750 loss=1.289426 lr=0.004685 Batch [0049]/[0303]: acc-top1=58.812500 acc-top5=81.937500 Batch [0099]/[0303]: acc-top1=58.203125 acc-top5=81.703125 Batch [0149]/[0303]: acc-top1=58.833333 acc-top5=81.562500 Batch [0199]/[0303]: acc-top1=58.585937 acc-top5=81.523438 Batch [0249]/[0303]: acc-top1=58.562500 acc-top5=81.368750 Batch [0299]/[0303]: acc-top1=58.708333 acc-top5=81.500000 [Epoch 051] training: accuracy=67.240276 loss=1.289255 [Epoch 051] speed: 131 samples/sec time cost: 2021.469291 [Epoch 051] validation: acc-top1=58.725248 acc-top5=81.502682 loss=2.003067 Epoch[052] Batch [0049]/[3759] Speed: 96.390309 samples/sec accuracy=67.718750 loss=1.250547 lr=0.004683 Epoch[052] Batch [0099]/[3759] Speed: 134.311695 samples/sec accuracy=67.812500 loss=1.249756 lr=0.004680 Epoch[052] Batch [0149]/[3759] Speed: 125.277033 samples/sec accuracy=68.312500 loss=1.249299 lr=0.004678 Epoch[052] Batch [0199]/[3759] Speed: 147.447923 samples/sec accuracy=68.140625 loss=1.255385 lr=0.004676 Epoch[052] Batch [0249]/[3759] Speed: 118.947663 samples/sec accuracy=68.287500 loss=1.250939 lr=0.004674 Epoch[052] Batch [0299]/[3759] Speed: 138.791265 samples/sec accuracy=68.484375 loss=1.242768 lr=0.004672 Epoch[052] Batch [0349]/[3759] Speed: 130.562391 samples/sec accuracy=68.446429 loss=1.246225 lr=0.004670 Epoch[052] Batch [0399]/[3759] Speed: 126.115920 samples/sec accuracy=68.359375 loss=1.246674 lr=0.004668 Epoch[052] Batch [0449]/[3759] Speed: 136.855352 samples/sec accuracy=68.413194 loss=1.244618 lr=0.004666 Epoch[052] Batch [0499]/[3759] Speed: 121.985260 samples/sec accuracy=68.393750 loss=1.245563 lr=0.004664 Epoch[052] Batch [0549]/[3759] Speed: 135.930260 samples/sec accuracy=68.269886 loss=1.250118 lr=0.004662 Epoch[052] Batch [0599]/[3759] Speed: 124.955904 samples/sec accuracy=68.200521 loss=1.252511 lr=0.004660 Epoch[052] Batch [0649]/[3759] Speed: 136.138927 samples/sec accuracy=68.237981 loss=1.250979 lr=0.004658 Epoch[052] Batch [0699]/[3759] Speed: 133.421710 samples/sec accuracy=68.234375 loss=1.249224 lr=0.004655 Epoch[052] Batch [0749]/[3759] Speed: 133.041089 samples/sec accuracy=68.175000 loss=1.251365 lr=0.004653 Epoch[052] Batch [0799]/[3759] Speed: 126.066286 samples/sec accuracy=68.126953 loss=1.253073 lr=0.004651 Epoch[052] Batch [0849]/[3759] Speed: 137.597974 samples/sec accuracy=68.191176 loss=1.250307 lr=0.004649 Epoch[052] Batch [0899]/[3759] Speed: 124.553529 samples/sec accuracy=68.151042 loss=1.252420 lr=0.004647 Epoch[052] Batch [0949]/[3759] Speed: 136.444230 samples/sec accuracy=68.078947 loss=1.255633 lr=0.004645 Epoch[052] Batch [0999]/[3759] Speed: 125.393117 samples/sec accuracy=68.075000 loss=1.257101 lr=0.004643 Epoch[052] Batch [1049]/[3759] Speed: 133.663797 samples/sec accuracy=68.040179 loss=1.256831 lr=0.004641 Epoch[052] Batch [1099]/[3759] Speed: 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loss=1.262434 lr=0.004620 Epoch[052] Batch [1599]/[3759] Speed: 131.193863 samples/sec accuracy=67.834961 loss=1.263857 lr=0.004618 Epoch[052] Batch [1649]/[3759] Speed: 127.949763 samples/sec accuracy=67.854167 loss=1.263109 lr=0.004616 Epoch[052] Batch [1699]/[3759] Speed: 142.923976 samples/sec accuracy=67.830882 loss=1.263030 lr=0.004614 Epoch[052] Batch [1749]/[3759] Speed: 120.712501 samples/sec accuracy=67.830357 loss=1.263678 lr=0.004612 Epoch[052] Batch [1799]/[3759] Speed: 144.329725 samples/sec accuracy=67.843750 loss=1.263017 lr=0.004610 Epoch[052] Batch [1849]/[3759] Speed: 120.563947 samples/sec accuracy=67.831081 loss=1.263432 lr=0.004607 Epoch[052] Batch [1899]/[3759] Speed: 148.847659 samples/sec accuracy=67.860197 loss=1.262404 lr=0.004605 Epoch[052] Batch [1949]/[3759] Speed: 127.611340 samples/sec accuracy=67.875000 loss=1.261948 lr=0.004603 Epoch[052] Batch [1999]/[3759] Speed: 137.976835 samples/sec accuracy=67.867188 loss=1.262200 lr=0.004601 Epoch[052] Batch 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accuracy=67.753750 loss=1.266957 lr=0.004580 Epoch[052] Batch [2549]/[3759] Speed: 130.781509 samples/sec accuracy=67.723039 loss=1.268032 lr=0.004578 Epoch[052] Batch [2599]/[3759] Speed: 135.529948 samples/sec accuracy=67.741587 loss=1.267519 lr=0.004576 Epoch[052] Batch [2649]/[3759] Speed: 129.005956 samples/sec accuracy=67.694575 loss=1.268509 lr=0.004574 Epoch[052] Batch [2699]/[3759] Speed: 130.058406 samples/sec accuracy=67.697338 loss=1.268539 lr=0.004572 Epoch[052] Batch [2749]/[3759] Speed: 126.352990 samples/sec accuracy=67.693182 loss=1.269052 lr=0.004570 Epoch[052] Batch [2799]/[3759] Speed: 139.876496 samples/sec accuracy=67.700335 loss=1.268964 lr=0.004568 Epoch[052] Batch [2849]/[3759] Speed: 130.779246 samples/sec accuracy=67.683662 loss=1.268942 lr=0.004566 Epoch[052] Batch [2899]/[3759] Speed: 132.610406 samples/sec accuracy=67.667565 loss=1.269965 lr=0.004564 Epoch[052] Batch [2949]/[3759] Speed: 123.721123 samples/sec accuracy=67.672669 loss=1.270437 lr=0.004562 Epoch[052] Batch [2999]/[3759] Speed: 144.459109 samples/sec accuracy=67.623438 loss=1.272258 lr=0.004560 Epoch[052] Batch [3049]/[3759] Speed: 120.601723 samples/sec accuracy=67.610656 loss=1.273056 lr=0.004558 Epoch[052] Batch [3099]/[3759] Speed: 135.119931 samples/sec accuracy=67.625504 loss=1.272376 lr=0.004555 Epoch[052] Batch [3149]/[3759] Speed: 134.264694 samples/sec accuracy=67.611607 loss=1.272863 lr=0.004553 Epoch[052] Batch [3199]/[3759] Speed: 133.757619 samples/sec accuracy=67.617188 loss=1.273206 lr=0.004551 Epoch[052] Batch [3249]/[3759] Speed: 121.416810 samples/sec accuracy=67.601923 loss=1.273762 lr=0.004549 Epoch[052] Batch [3299]/[3759] Speed: 138.326956 samples/sec accuracy=67.600852 loss=1.273777 lr=0.004547 Epoch[052] Batch [3349]/[3759] Speed: 123.697430 samples/sec accuracy=67.577425 loss=1.274507 lr=0.004545 Epoch[052] Batch [3399]/[3759] Speed: 135.423306 samples/sec accuracy=67.568474 loss=1.274998 lr=0.004543 Epoch[052] Batch [3449]/[3759] Speed: 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Batch [0299]/[0303]: acc-top1=58.619792 acc-top5=81.416667 [Epoch 052] training: accuracy=67.526270 loss=1.277893 [Epoch 052] speed: 131 samples/sec time cost: 2019.628131 [Epoch 052] validation: acc-top1=58.606642 acc-top5=81.404703 loss=2.029514 Epoch[053] Batch [0049]/[3760] Speed: 96.622788 samples/sec accuracy=70.031250 loss=1.190608 lr=0.004526 Epoch[053] Batch [0099]/[3760] Speed: 133.059295 samples/sec accuracy=69.187500 loss=1.194529 lr=0.004524 Epoch[053] Batch [0149]/[3760] Speed: 127.986110 samples/sec accuracy=69.656250 loss=1.179045 lr=0.004522 Epoch[053] Batch [0199]/[3760] Speed: 139.378339 samples/sec accuracy=69.234375 loss=1.202165 lr=0.004520 Epoch[053] Batch [0249]/[3760] Speed: 119.612546 samples/sec accuracy=69.118750 loss=1.209170 lr=0.004518 Epoch[053] Batch [0299]/[3760] Speed: 150.199142 samples/sec accuracy=69.026042 loss=1.216205 lr=0.004516 Epoch[053] Batch [0349]/[3760] Speed: 115.899241 samples/sec accuracy=69.031250 loss=1.214967 lr=0.004513 Epoch[053] 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lr=0.004474 Epoch[053] Batch [1349]/[3760] Speed: 126.302660 samples/sec accuracy=68.439815 loss=1.236367 lr=0.004472 Epoch[053] Batch [1399]/[3760] Speed: 130.478308 samples/sec accuracy=68.431920 loss=1.236468 lr=0.004470 Epoch[053] Batch [1449]/[3760] Speed: 138.335443 samples/sec accuracy=68.441810 loss=1.235830 lr=0.004468 Epoch[053] Batch [1499]/[3760] Speed: 128.099298 samples/sec accuracy=68.446875 loss=1.236871 lr=0.004466 Epoch[053] Batch [1549]/[3760] Speed: 134.442288 samples/sec accuracy=68.422379 loss=1.238039 lr=0.004464 Epoch[053] Batch [1599]/[3760] Speed: 128.604227 samples/sec accuracy=68.384766 loss=1.239838 lr=0.004462 Epoch[053] Batch [1649]/[3760] Speed: 128.460144 samples/sec accuracy=68.340909 loss=1.242075 lr=0.004459 Epoch[053] Batch [1699]/[3760] Speed: 134.539065 samples/sec accuracy=68.300551 loss=1.243126 lr=0.004457 Epoch[053] Batch [1749]/[3760] Speed: 123.328186 samples/sec accuracy=68.266071 loss=1.243843 lr=0.004455 Epoch[053] Batch [1799]/[3760] Speed: 131.659466 samples/sec accuracy=68.265625 loss=1.244198 lr=0.004453 Epoch[053] Batch [1849]/[3760] Speed: 135.458454 samples/sec accuracy=68.217905 loss=1.246009 lr=0.004451 Epoch[053] Batch [1899]/[3760] Speed: 133.881073 samples/sec accuracy=68.170230 loss=1.247197 lr=0.004449 Epoch[053] Batch [1949]/[3760] Speed: 129.983524 samples/sec accuracy=68.155449 loss=1.247604 lr=0.004447 Epoch[053] Batch [1999]/[3760] Speed: 129.882169 samples/sec accuracy=68.149219 loss=1.248013 lr=0.004445 Epoch[053] Batch [2049]/[3760] Speed: 130.957155 samples/sec accuracy=68.144055 loss=1.248677 lr=0.004443 Epoch[053] Batch [2099]/[3760] Speed: 130.743130 samples/sec accuracy=68.140625 loss=1.249022 lr=0.004441 Epoch[053] Batch [2149]/[3760] Speed: 135.001768 samples/sec accuracy=68.142442 loss=1.249468 lr=0.004439 Epoch[053] Batch [2199]/[3760] Speed: 127.892730 samples/sec accuracy=68.108665 loss=1.250636 lr=0.004437 Epoch[053] Batch [2249]/[3760] Speed: 141.829533 samples/sec accuracy=68.098611 loss=1.251157 lr=0.004435 Epoch[053] Batch [2299]/[3760] Speed: 120.719406 samples/sec accuracy=68.074728 loss=1.252388 lr=0.004432 Epoch[053] Batch [2349]/[3760] Speed: 137.842183 samples/sec accuracy=68.033245 loss=1.253518 lr=0.004430 Epoch[053] Batch [2399]/[3760] Speed: 122.994198 samples/sec accuracy=68.050130 loss=1.252664 lr=0.004428 Epoch[053] Batch [2449]/[3760] Speed: 154.533533 samples/sec accuracy=68.051658 loss=1.253128 lr=0.004426 Epoch[053] Batch [2499]/[3760] Speed: 119.287512 samples/sec accuracy=68.056875 loss=1.253209 lr=0.004424 Epoch[053] Batch [2549]/[3760] Speed: 137.893061 samples/sec accuracy=68.053922 loss=1.253244 lr=0.004422 Epoch[053] Batch [2599]/[3760] Speed: 129.962534 samples/sec accuracy=68.040264 loss=1.253991 lr=0.004420 Epoch[053] Batch [2649]/[3760] Speed: 127.587441 samples/sec accuracy=68.048939 loss=1.254388 lr=0.004418 Epoch[053] Batch [2699]/[3760] Speed: 141.236588 samples/sec accuracy=68.035301 loss=1.254836 lr=0.004416 Epoch[053] Batch [2749]/[3760] Speed: 124.166443 samples/sec accuracy=67.997727 loss=1.255871 lr=0.004414 Epoch[053] Batch [2799]/[3760] Speed: 137.359012 samples/sec accuracy=68.018973 loss=1.255215 lr=0.004412 Epoch[053] Batch [2849]/[3760] Speed: 120.808658 samples/sec accuracy=68.010965 loss=1.255758 lr=0.004410 Epoch[053] Batch [2899]/[3760] Speed: 146.715133 samples/sec accuracy=67.987608 loss=1.256258 lr=0.004408 Epoch[053] Batch [2949]/[3760] Speed: 122.440934 samples/sec accuracy=67.973517 loss=1.256319 lr=0.004405 Epoch[053] Batch [2999]/[3760] Speed: 144.868962 samples/sec accuracy=67.945312 loss=1.257411 lr=0.004403 Epoch[053] Batch [3049]/[3760] Speed: 122.350134 samples/sec accuracy=67.931352 loss=1.258446 lr=0.004401 Epoch[053] Batch [3099]/[3760] Speed: 130.767882 samples/sec accuracy=67.935484 loss=1.258697 lr=0.004399 Epoch[053] Batch [3149]/[3760] Speed: 134.444129 samples/sec accuracy=67.917659 loss=1.259372 lr=0.004397 Epoch[053] Batch [3199]/[3760] Speed: 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loss=1.263398 lr=0.004376 Epoch[053] Batch [3699]/[3760] Speed: 136.924945 samples/sec accuracy=67.840794 loss=1.263945 lr=0.004374 Epoch[053] Batch [3749]/[3760] Speed: 150.077427 samples/sec accuracy=67.835417 loss=1.263970 lr=0.004372 Batch [0049]/[0303]: acc-top1=58.718750 acc-top5=82.093750 Batch [0099]/[0303]: acc-top1=58.312500 acc-top5=81.890625 Batch [0149]/[0303]: acc-top1=58.697917 acc-top5=81.989583 Batch [0199]/[0303]: acc-top1=58.695312 acc-top5=82.093750 Batch [0249]/[0303]: acc-top1=58.656250 acc-top5=81.806250 Batch [0299]/[0303]: acc-top1=58.776042 acc-top5=81.979167 [Epoch 053] training: accuracy=67.834109 loss=1.263999 [Epoch 053] speed: 131 samples/sec time cost: 2020.902443 [Epoch 053] validation: acc-top1=58.787129 acc-top5=81.987417 loss=1.985688 Epoch[054] Batch [0049]/[3760] Speed: 95.598115 samples/sec accuracy=69.656250 loss=1.198895 lr=0.004370 Epoch[054] Batch [0099]/[3760] Speed: 128.619093 samples/sec accuracy=69.093750 loss=1.210539 lr=0.004368 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accuracy=68.249219 loss=1.240642 lr=0.004289 Epoch[054] Batch [2049]/[3760] Speed: 124.370474 samples/sec accuracy=68.241616 loss=1.240699 lr=0.004287 Epoch[054] Batch [2099]/[3760] Speed: 130.107902 samples/sec accuracy=68.259673 loss=1.240104 lr=0.004285 Epoch[054] Batch [2149]/[3760] Speed: 132.646548 samples/sec accuracy=68.233285 loss=1.241000 lr=0.004283 Epoch[054] Batch [2199]/[3760] Speed: 130.305750 samples/sec accuracy=68.258523 loss=1.239789 lr=0.004281 Epoch[054] Batch [2249]/[3760] Speed: 127.938243 samples/sec accuracy=68.269444 loss=1.240417 lr=0.004279 Epoch[054] Batch [2299]/[3760] Speed: 140.614556 samples/sec accuracy=68.260870 loss=1.240383 lr=0.004277 Epoch[054] Batch [2349]/[3760] Speed: 124.901723 samples/sec accuracy=68.232048 loss=1.240578 lr=0.004275 Epoch[054] Batch [2399]/[3760] Speed: 134.770327 samples/sec accuracy=68.246094 loss=1.240078 lr=0.004272 Epoch[054] Batch [2449]/[3760] Speed: 135.762703 samples/sec accuracy=68.237883 loss=1.240541 lr=0.004270 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loss=1.245168 lr=0.004231 Epoch[054] Batch [3449]/[3760] Speed: 138.966691 samples/sec accuracy=68.192029 loss=1.245361 lr=0.004229 Epoch[054] Batch [3499]/[3760] Speed: 120.230054 samples/sec accuracy=68.199107 loss=1.245453 lr=0.004227 Epoch[054] Batch [3549]/[3760] Speed: 137.174774 samples/sec accuracy=68.198063 loss=1.245725 lr=0.004225 Epoch[054] Batch [3599]/[3760] Speed: 131.511245 samples/sec accuracy=68.168403 loss=1.246431 lr=0.004223 Epoch[054] Batch [3649]/[3760] Speed: 126.877908 samples/sec accuracy=68.165668 loss=1.246295 lr=0.004221 Epoch[054] Batch [3699]/[3760] Speed: 146.478634 samples/sec accuracy=68.146537 loss=1.246701 lr=0.004219 Epoch[054] Batch [3749]/[3760] Speed: 141.616825 samples/sec accuracy=68.135417 loss=1.247409 lr=0.004217 Batch [0049]/[0303]: acc-top1=59.656250 acc-top5=82.000000 Batch [0099]/[0303]: acc-top1=58.765625 acc-top5=81.531250 Batch [0149]/[0303]: acc-top1=59.416667 acc-top5=81.531250 Batch [0199]/[0303]: acc-top1=59.046875 acc-top5=81.625000 Batch [0249]/[0303]: acc-top1=59.081250 acc-top5=81.462500 Batch [0299]/[0303]: acc-top1=59.338542 acc-top5=81.666667 [Epoch 054] training: accuracy=68.143700 loss=1.247060 [Epoch 054] speed: 131 samples/sec time cost: 2018.582980 [Epoch 054] validation: acc-top1=59.349216 acc-top5=81.667698 loss=1.998030 Epoch[055] Batch [0049]/[3759] Speed: 95.286185 samples/sec accuracy=69.312500 loss=1.199095 lr=0.004214 Epoch[055] Batch [0099]/[3759] Speed: 146.473608 samples/sec accuracy=69.843750 loss=1.186332 lr=0.004212 Epoch[055] Batch [0149]/[3759] Speed: 120.785852 samples/sec accuracy=70.135417 loss=1.181939 lr=0.004210 Epoch[055] Batch [0199]/[3759] Speed: 142.177155 samples/sec accuracy=69.921875 loss=1.187177 lr=0.004208 Epoch[055] Batch [0249]/[3759] Speed: 127.351491 samples/sec accuracy=69.818750 loss=1.187019 lr=0.004206 Epoch[055] Batch [0299]/[3759] Speed: 131.576623 samples/sec accuracy=69.822917 loss=1.185416 lr=0.004204 Epoch[055] Batch [0349]/[3759] Speed: 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accuracy=69.053571 loss=1.214704 lr=0.004144 Epoch[055] Batch [1799]/[3759] Speed: 133.894503 samples/sec accuracy=69.045139 loss=1.215237 lr=0.004142 Epoch[055] Batch [1849]/[3759] Speed: 129.802362 samples/sec accuracy=69.038851 loss=1.214962 lr=0.004140 Epoch[055] Batch [1899]/[3759] Speed: 136.086233 samples/sec accuracy=68.987664 loss=1.216465 lr=0.004138 Epoch[055] Batch [1949]/[3759] Speed: 127.721365 samples/sec accuracy=68.975962 loss=1.217246 lr=0.004136 Epoch[055] Batch [1999]/[3759] Speed: 134.549125 samples/sec accuracy=68.944531 loss=1.218013 lr=0.004134 Epoch[055] Batch [2049]/[3759] Speed: 132.309245 samples/sec accuracy=68.919970 loss=1.218455 lr=0.004132 Epoch[055] Batch [2099]/[3759] Speed: 126.016644 samples/sec accuracy=68.938988 loss=1.217651 lr=0.004130 Epoch[055] Batch [2149]/[3759] Speed: 134.319246 samples/sec accuracy=68.930959 loss=1.217909 lr=0.004128 Epoch[055] Batch [2199]/[3759] Speed: 126.425324 samples/sec accuracy=68.947443 loss=1.217472 lr=0.004126 Epoch[055] Batch [2249]/[3759] Speed: 136.909231 samples/sec accuracy=68.933333 loss=1.217924 lr=0.004124 Epoch[055] Batch [2299]/[3759] Speed: 123.655592 samples/sec accuracy=68.904891 loss=1.218621 lr=0.004122 Epoch[055] Batch [2349]/[3759] Speed: 139.144445 samples/sec accuracy=68.921543 loss=1.218220 lr=0.004119 Epoch[055] Batch [2399]/[3759] Speed: 133.053034 samples/sec accuracy=68.908203 loss=1.218490 lr=0.004117 Epoch[055] Batch [2449]/[3759] Speed: 126.586838 samples/sec accuracy=68.888393 loss=1.219411 lr=0.004115 Epoch[055] Batch [2499]/[3759] Speed: 130.489465 samples/sec accuracy=68.870000 loss=1.219965 lr=0.004113 Epoch[055] Batch [2549]/[3759] Speed: 135.685014 samples/sec accuracy=68.885417 loss=1.219729 lr=0.004111 Epoch[055] Batch [2599]/[3759] Speed: 132.329538 samples/sec accuracy=68.877404 loss=1.219921 lr=0.004109 Epoch[055] Batch [2649]/[3759] Speed: 124.689651 samples/sec accuracy=68.865566 loss=1.220127 lr=0.004107 Epoch[055] Batch [2699]/[3759] Speed: 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loss=1.222629 lr=0.004087 Epoch[055] Batch [3199]/[3759] Speed: 113.480280 samples/sec accuracy=68.782227 loss=1.223231 lr=0.004085 Epoch[055] Batch [3249]/[3759] Speed: 154.359099 samples/sec accuracy=68.807692 loss=1.222533 lr=0.004082 Epoch[055] Batch [3299]/[3759] Speed: 118.508428 samples/sec accuracy=68.810606 loss=1.223008 lr=0.004080 Epoch[055] Batch [3349]/[3759] Speed: 140.807849 samples/sec accuracy=68.802705 loss=1.223166 lr=0.004078 Epoch[055] Batch [3399]/[3759] Speed: 117.013755 samples/sec accuracy=68.785846 loss=1.223822 lr=0.004076 Epoch[055] Batch [3449]/[3759] Speed: 143.527250 samples/sec accuracy=68.769022 loss=1.224540 lr=0.004074 Epoch[055] Batch [3499]/[3759] Speed: 122.675864 samples/sec accuracy=68.763839 loss=1.224719 lr=0.004072 Epoch[055] Batch [3549]/[3759] Speed: 144.036372 samples/sec accuracy=68.766725 loss=1.224931 lr=0.004070 Epoch[055] Batch [3599]/[3759] Speed: 122.948695 samples/sec accuracy=68.745660 loss=1.225566 lr=0.004068 Epoch[055] Batch [3649]/[3759] Speed: 140.076281 samples/sec accuracy=68.723031 loss=1.226260 lr=0.004066 Epoch[055] Batch [3699]/[3759] Speed: 118.946895 samples/sec accuracy=68.731841 loss=1.226252 lr=0.004064 Epoch[055] Batch [3749]/[3759] Speed: 162.781386 samples/sec accuracy=68.720417 loss=1.226461 lr=0.004062 Batch [0049]/[0303]: acc-top1=59.281250 acc-top5=81.718750 Batch [0099]/[0303]: acc-top1=58.687500 acc-top5=81.562500 Batch [0149]/[0303]: acc-top1=59.364583 acc-top5=81.750000 Batch [0199]/[0303]: acc-top1=58.882812 acc-top5=81.789062 Batch [0249]/[0303]: acc-top1=58.793750 acc-top5=81.725000 Batch [0299]/[0303]: acc-top1=58.979167 acc-top5=81.739583 [Epoch 055] training: accuracy=68.717162 loss=1.226666 [Epoch 055] speed: 131 samples/sec time cost: 2018.088650 [Epoch 055] validation: acc-top1=58.926361 acc-top5=81.729579 loss=1.996877 Epoch[056] Batch [0049]/[3760] Speed: 94.910412 samples/sec accuracy=71.000000 loss=1.126011 lr=0.004060 Epoch[056] Batch [0099]/[3760] Speed: 154.258759 samples/sec accuracy=70.062500 loss=1.150363 lr=0.004057 Epoch[056] Batch [0149]/[3760] Speed: 111.612224 samples/sec accuracy=69.687500 loss=1.168794 lr=0.004055 Epoch[056] Batch [0199]/[3760] Speed: 148.909194 samples/sec accuracy=69.320312 loss=1.181917 lr=0.004053 Epoch[056] Batch [0249]/[3760] Speed: 115.668213 samples/sec accuracy=69.262500 loss=1.181491 lr=0.004051 Epoch[056] Batch [0299]/[3760] Speed: 157.839921 samples/sec accuracy=69.338542 loss=1.182295 lr=0.004049 Epoch[056] Batch [0349]/[3760] Speed: 116.667500 samples/sec accuracy=69.392857 loss=1.182326 lr=0.004047 Epoch[056] Batch [0399]/[3760] Speed: 147.250595 samples/sec accuracy=69.488281 loss=1.180605 lr=0.004045 Epoch[056] Batch [0449]/[3760] Speed: 120.616105 samples/sec accuracy=69.458333 loss=1.178301 lr=0.004043 Epoch[056] Batch [0499]/[3760] Speed: 140.939273 samples/sec accuracy=69.381250 loss=1.178228 lr=0.004041 Epoch[056] Batch [0549]/[3760] Speed: 116.636741 samples/sec accuracy=69.431818 loss=1.176026 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accuracy=69.264583 loss=1.197655 lr=0.004000 Epoch[056] Batch [1549]/[3760] Speed: 134.730884 samples/sec accuracy=69.243952 loss=1.198261 lr=0.003998 Epoch[056] Batch [1599]/[3760] Speed: 126.888136 samples/sec accuracy=69.296875 loss=1.197365 lr=0.003996 Epoch[056] Batch [1649]/[3760] Speed: 143.388968 samples/sec accuracy=69.314394 loss=1.197858 lr=0.003994 Epoch[056] Batch [1699]/[3760] Speed: 128.727516 samples/sec accuracy=69.280331 loss=1.199590 lr=0.003992 Epoch[056] Batch [1749]/[3760] Speed: 130.374342 samples/sec accuracy=69.289286 loss=1.198988 lr=0.003990 Epoch[056] Batch [1799]/[3760] Speed: 125.811702 samples/sec accuracy=69.252604 loss=1.200071 lr=0.003988 Epoch[056] Batch [1849]/[3760] Speed: 136.515033 samples/sec accuracy=69.247466 loss=1.200398 lr=0.003986 Epoch[056] Batch [1899]/[3760] Speed: 132.902851 samples/sec accuracy=69.206414 loss=1.201170 lr=0.003984 Epoch[056] Batch [1949]/[3760] Speed: 128.102846 samples/sec accuracy=69.162660 loss=1.202131 lr=0.003982 Epoch[056] Batch [1999]/[3760] Speed: 125.439354 samples/sec accuracy=69.135156 loss=1.202539 lr=0.003980 Epoch[056] Batch [2049]/[3760] Speed: 137.302384 samples/sec accuracy=69.097561 loss=1.203529 lr=0.003978 Epoch[056] Batch [2099]/[3760] Speed: 137.465951 samples/sec accuracy=69.055060 loss=1.204458 lr=0.003976 Epoch[056] Batch [2149]/[3760] Speed: 129.139417 samples/sec accuracy=69.055233 loss=1.203716 lr=0.003974 Epoch[056] Batch [2199]/[3760] Speed: 136.621474 samples/sec accuracy=69.072443 loss=1.203433 lr=0.003971 Epoch[056] Batch [2249]/[3760] Speed: 120.938893 samples/sec accuracy=69.091667 loss=1.203511 lr=0.003969 Epoch[056] Batch [2299]/[3760] Speed: 144.392877 samples/sec accuracy=69.072011 loss=1.204060 lr=0.003967 Epoch[056] Batch [2349]/[3760] Speed: 114.102836 samples/sec accuracy=69.064495 loss=1.204478 lr=0.003965 Epoch[056] Batch [2399]/[3760] Speed: 159.202672 samples/sec accuracy=69.074219 loss=1.204224 lr=0.003963 Epoch[056] Batch [2449]/[3760] Speed: 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loss=1.208015 lr=0.003943 Epoch[056] Batch [2949]/[3760] Speed: 141.106789 samples/sec accuracy=68.957097 loss=1.208341 lr=0.003941 Epoch[056] Batch [2999]/[3760] Speed: 129.312104 samples/sec accuracy=68.935417 loss=1.209199 lr=0.003939 Epoch[056] Batch [3049]/[3760] Speed: 134.726745 samples/sec accuracy=68.946209 loss=1.209323 lr=0.003937 Epoch[056] Batch [3099]/[3760] Speed: 120.180650 samples/sec accuracy=68.943548 loss=1.209702 lr=0.003935 Epoch[056] Batch [3149]/[3760] Speed: 139.415993 samples/sec accuracy=68.924603 loss=1.210555 lr=0.003933 Epoch[056] Batch [3199]/[3760] Speed: 125.554734 samples/sec accuracy=68.945801 loss=1.210382 lr=0.003931 Epoch[056] Batch [3249]/[3760] Speed: 128.057567 samples/sec accuracy=68.937981 loss=1.210847 lr=0.003929 Epoch[056] Batch [3299]/[3760] Speed: 154.581897 samples/sec accuracy=68.945076 loss=1.210744 lr=0.003927 Epoch[056] Batch [3349]/[3760] Speed: 111.434399 samples/sec accuracy=68.938433 loss=1.211187 lr=0.003924 Epoch[056] Batch 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acc-top5=81.697917 Batch [0199]/[0303]: acc-top1=58.843750 acc-top5=81.796875 Batch [0249]/[0303]: acc-top1=58.806250 acc-top5=81.618750 Batch [0299]/[0303]: acc-top1=59.145833 acc-top5=81.828125 [Epoch 056] training: accuracy=68.909574 loss=1.213687 [Epoch 056] speed: 131 samples/sec time cost: 2019.318391 [Epoch 056] validation: acc-top1=59.173886 acc-top5=81.822401 loss=1.966380 Epoch[057] Batch [0049]/[3760] Speed: 95.935076 samples/sec accuracy=69.937500 loss=1.191173 lr=0.003906 Epoch[057] Batch [0099]/[3760] Speed: 131.227208 samples/sec accuracy=70.531250 loss=1.161381 lr=0.003904 Epoch[057] Batch [0149]/[3760] Speed: 132.700330 samples/sec accuracy=70.572917 loss=1.159465 lr=0.003902 Epoch[057] Batch [0199]/[3760] Speed: 137.518405 samples/sec accuracy=70.507812 loss=1.167012 lr=0.003900 Epoch[057] Batch [0249]/[3760] Speed: 125.535308 samples/sec accuracy=70.037500 loss=1.177042 lr=0.003898 Epoch[057] Batch [0299]/[3760] Speed: 127.577207 samples/sec accuracy=70.239583 loss=1.167015 lr=0.003896 Epoch[057] Batch [0349]/[3760] Speed: 138.547974 samples/sec accuracy=70.254464 loss=1.167738 lr=0.003893 Epoch[057] Batch [0399]/[3760] Speed: 125.560243 samples/sec accuracy=70.269531 loss=1.164971 lr=0.003891 Epoch[057] Batch [0449]/[3760] Speed: 137.773529 samples/sec accuracy=70.302083 loss=1.163658 lr=0.003889 Epoch[057] Batch [0499]/[3760] Speed: 129.935063 samples/sec accuracy=70.271875 loss=1.166126 lr=0.003887 Epoch[057] Batch [0549]/[3760] Speed: 137.260961 samples/sec accuracy=70.301136 loss=1.162809 lr=0.003885 Epoch[057] Batch [0599]/[3760] Speed: 124.608515 samples/sec accuracy=70.192708 loss=1.167627 lr=0.003883 Epoch[057] Batch [0649]/[3760] Speed: 143.002423 samples/sec accuracy=70.129808 loss=1.169377 lr=0.003881 Epoch[057] Batch [0699]/[3760] Speed: 121.013279 samples/sec accuracy=70.142857 loss=1.169692 lr=0.003879 Epoch[057] Batch [0749]/[3760] Speed: 135.749662 samples/sec accuracy=70.141667 loss=1.169786 lr=0.003877 Epoch[057] Batch 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accuracy=70.071250 loss=1.173973 lr=0.003857 Epoch[057] Batch [1299]/[3760] Speed: 130.681992 samples/sec accuracy=70.050481 loss=1.173627 lr=0.003855 Epoch[057] Batch [1349]/[3760] Speed: 126.481009 samples/sec accuracy=70.061343 loss=1.174300 lr=0.003853 Epoch[057] Batch [1399]/[3760] Speed: 141.482534 samples/sec accuracy=70.044643 loss=1.176088 lr=0.003851 Epoch[057] Batch [1449]/[3760] Speed: 127.612812 samples/sec accuracy=70.052802 loss=1.176218 lr=0.003849 Epoch[057] Batch [1499]/[3760] Speed: 126.841979 samples/sec accuracy=70.029167 loss=1.177752 lr=0.003847 Epoch[057] Batch [1549]/[3760] Speed: 131.722203 samples/sec accuracy=70.027218 loss=1.177330 lr=0.003845 Epoch[057] Batch [1599]/[3760] Speed: 136.633457 samples/sec accuracy=70.013672 loss=1.177300 lr=0.003843 Epoch[057] Batch [1649]/[3760] Speed: 129.530494 samples/sec accuracy=70.009470 loss=1.177469 lr=0.003841 Epoch[057] Batch [1699]/[3760] Speed: 130.764109 samples/sec accuracy=69.975184 loss=1.178143 lr=0.003839 Epoch[057] Batch [1749]/[3760] Speed: 129.745640 samples/sec accuracy=69.962500 loss=1.177163 lr=0.003837 Epoch[057] Batch [1799]/[3760] Speed: 136.744268 samples/sec accuracy=69.937500 loss=1.178252 lr=0.003834 Epoch[057] Batch [1849]/[3760] Speed: 126.137436 samples/sec accuracy=69.934122 loss=1.177774 lr=0.003832 Epoch[057] Batch [1899]/[3760] Speed: 132.820036 samples/sec accuracy=69.916941 loss=1.178422 lr=0.003830 Epoch[057] Batch [1949]/[3760] Speed: 128.083063 samples/sec accuracy=69.885417 loss=1.179499 lr=0.003828 Epoch[057] Batch [1999]/[3760] Speed: 143.382564 samples/sec accuracy=69.847656 loss=1.180666 lr=0.003826 Epoch[057] Batch [2049]/[3760] Speed: 121.615518 samples/sec accuracy=69.830793 loss=1.181302 lr=0.003824 Epoch[057] Batch [2099]/[3760] Speed: 149.649259 samples/sec accuracy=69.845238 loss=1.180834 lr=0.003822 Epoch[057] Batch [2149]/[3760] Speed: 120.205800 samples/sec accuracy=69.784157 loss=1.183084 lr=0.003820 Epoch[057] Batch [2199]/[3760] Speed: 139.440916 samples/sec accuracy=69.791903 loss=1.183656 lr=0.003818 Epoch[057] Batch [2249]/[3760] Speed: 123.178816 samples/sec accuracy=69.786806 loss=1.183545 lr=0.003816 Epoch[057] Batch [2299]/[3760] Speed: 139.847110 samples/sec accuracy=69.758832 loss=1.184456 lr=0.003814 Epoch[057] Batch [2349]/[3760] Speed: 119.262226 samples/sec accuracy=69.725399 loss=1.185726 lr=0.003812 Epoch[057] Batch [2399]/[3760] Speed: 143.824152 samples/sec accuracy=69.717448 loss=1.185870 lr=0.003810 Epoch[057] Batch [2449]/[3760] Speed: 127.279152 samples/sec accuracy=69.698980 loss=1.186378 lr=0.003808 Epoch[057] Batch [2499]/[3760] Speed: 130.560087 samples/sec accuracy=69.686875 loss=1.186774 lr=0.003806 Epoch[057] Batch [2549]/[3760] Speed: 132.576258 samples/sec accuracy=69.648897 loss=1.188341 lr=0.003804 Epoch[057] Batch [2599]/[3760] Speed: 126.758717 samples/sec accuracy=69.649038 loss=1.189235 lr=0.003802 Epoch[057] Batch [2649]/[3760] Speed: 147.747380 samples/sec accuracy=69.637382 loss=1.189721 lr=0.003800 Epoch[057] Batch [2699]/[3760] Speed: 118.475356 samples/sec accuracy=69.629051 loss=1.189669 lr=0.003798 Epoch[057] Batch [2749]/[3760] Speed: 150.482788 samples/sec accuracy=69.601705 loss=1.190013 lr=0.003796 Epoch[057] Batch [2799]/[3760] Speed: 121.318607 samples/sec accuracy=69.602121 loss=1.190128 lr=0.003794 Epoch[057] Batch [2849]/[3760] Speed: 136.567596 samples/sec accuracy=69.591557 loss=1.190551 lr=0.003792 Epoch[057] Batch [2899]/[3760] Speed: 135.684115 samples/sec accuracy=69.586207 loss=1.190914 lr=0.003790 Epoch[057] Batch [2949]/[3760] Speed: 127.089410 samples/sec accuracy=69.567267 loss=1.191495 lr=0.003788 Epoch[057] Batch [2999]/[3760] Speed: 130.866550 samples/sec accuracy=69.552083 loss=1.192291 lr=0.003786 Epoch[057] Batch [3049]/[3760] Speed: 122.681626 samples/sec accuracy=69.550205 loss=1.192025 lr=0.003784 Epoch[057] Batch [3099]/[3760] Speed: 146.987155 samples/sec accuracy=69.537298 loss=1.191796 lr=0.003782 Epoch[057] Batch 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accuracy=69.370660 loss=1.197706 lr=0.003761 Epoch[057] Batch [3649]/[3760] Speed: 135.815258 samples/sec accuracy=69.371575 loss=1.198263 lr=0.003759 Epoch[057] Batch [3699]/[3760] Speed: 125.864848 samples/sec accuracy=69.352618 loss=1.198649 lr=0.003757 Epoch[057] Batch [3749]/[3760] Speed: 155.847784 samples/sec accuracy=69.349167 loss=1.199027 lr=0.003755 Batch [0049]/[0303]: acc-top1=59.187500 acc-top5=81.625000 Batch [0099]/[0303]: acc-top1=58.859375 acc-top5=81.500000 Batch [0149]/[0303]: acc-top1=59.197917 acc-top5=81.333333 Batch [0199]/[0303]: acc-top1=59.210938 acc-top5=81.304688 Batch [0249]/[0303]: acc-top1=59.431250 acc-top5=81.312500 Batch [0299]/[0303]: acc-top1=59.458333 acc-top5=81.541667 [Epoch 057] training: accuracy=69.350482 loss=1.198967 [Epoch 057] speed: 131 samples/sec time cost: 2018.930861 [Epoch 057] validation: acc-top1=59.457508 acc-top5=81.538779 loss=2.011316 Epoch[058] Batch [0049]/[3759] Speed: 92.798468 samples/sec accuracy=71.093750 loss=1.136031 lr=0.003753 Epoch[058] Batch [0099]/[3759] Speed: 158.650695 samples/sec accuracy=71.671875 loss=1.114494 lr=0.003751 Epoch[058] Batch [0149]/[3759] Speed: 118.946955 samples/sec accuracy=71.250000 loss=1.126234 lr=0.003749 Epoch[058] Batch [0199]/[3759] Speed: 142.038628 samples/sec accuracy=71.093750 loss=1.128681 lr=0.003747 Epoch[058] Batch [0249]/[3759] Speed: 124.433223 samples/sec accuracy=71.181250 loss=1.122937 lr=0.003745 Epoch[058] Batch [0299]/[3759] Speed: 130.555143 samples/sec accuracy=71.239583 loss=1.121115 lr=0.003743 Epoch[058] Batch [0349]/[3759] Speed: 129.628450 samples/sec accuracy=71.116071 loss=1.125734 lr=0.003741 Epoch[058] Batch [0399]/[3759] Speed: 132.192827 samples/sec accuracy=71.046875 loss=1.128663 lr=0.003739 Epoch[058] Batch [0449]/[3759] Speed: 131.673411 samples/sec accuracy=70.920139 loss=1.131522 lr=0.003737 Epoch[058] Batch [0499]/[3759] Speed: 130.112431 samples/sec accuracy=70.721875 loss=1.138588 lr=0.003735 Epoch[058] Batch [0549]/[3759] 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accuracy=70.129688 loss=1.155895 lr=0.003715 Epoch[058] Batch [1049]/[3759] Speed: 126.047918 samples/sec accuracy=70.133929 loss=1.156273 lr=0.003713 Epoch[058] Batch [1099]/[3759] Speed: 131.316458 samples/sec accuracy=70.143466 loss=1.156829 lr=0.003711 Epoch[058] Batch [1149]/[3759] Speed: 130.024466 samples/sec accuracy=70.156250 loss=1.155878 lr=0.003709 Epoch[058] Batch [1199]/[3759] Speed: 138.090742 samples/sec accuracy=70.173177 loss=1.155228 lr=0.003706 Epoch[058] Batch [1249]/[3759] Speed: 123.309479 samples/sec accuracy=70.167500 loss=1.155428 lr=0.003704 Epoch[058] Batch [1299]/[3759] Speed: 134.813891 samples/sec accuracy=70.165865 loss=1.155787 lr=0.003702 Epoch[058] Batch [1349]/[3759] Speed: 129.413910 samples/sec accuracy=70.175926 loss=1.156110 lr=0.003700 Epoch[058] Batch [1399]/[3759] Speed: 138.753573 samples/sec accuracy=70.164062 loss=1.156530 lr=0.003698 Epoch[058] Batch [1449]/[3759] Speed: 126.228956 samples/sec accuracy=70.143319 loss=1.157935 lr=0.003696 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accuracy=69.700560 loss=1.177814 lr=0.003620 Epoch[058] Batch [3399]/[3759] Speed: 146.425895 samples/sec accuracy=69.672335 loss=1.178527 lr=0.003618 Epoch[058] Batch [3449]/[3759] Speed: 119.266652 samples/sec accuracy=69.664402 loss=1.179152 lr=0.003616 Epoch[058] Batch [3499]/[3759] Speed: 147.838959 samples/sec accuracy=69.648661 loss=1.179922 lr=0.003614 Epoch[058] Batch [3549]/[3759] Speed: 120.515790 samples/sec accuracy=69.657570 loss=1.180222 lr=0.003612 Epoch[058] Batch [3599]/[3759] Speed: 133.311653 samples/sec accuracy=69.656684 loss=1.180891 lr=0.003610 Epoch[058] Batch [3649]/[3759] Speed: 132.154185 samples/sec accuracy=69.658390 loss=1.181018 lr=0.003608 Epoch[058] Batch [3699]/[3759] Speed: 128.164371 samples/sec accuracy=69.640625 loss=1.181486 lr=0.003606 Epoch[058] Batch [3749]/[3759] Speed: 157.242423 samples/sec accuracy=69.621667 loss=1.181657 lr=0.003604 Batch [0049]/[0303]: acc-top1=58.406250 acc-top5=82.031250 Batch [0099]/[0303]: acc-top1=58.453125 acc-top5=81.718750 Batch [0149]/[0303]: acc-top1=59.229167 acc-top5=81.812500 Batch [0199]/[0303]: acc-top1=59.062500 acc-top5=81.898438 Batch [0249]/[0303]: acc-top1=59.006250 acc-top5=81.718750 Batch [0299]/[0303]: acc-top1=59.177083 acc-top5=81.854167 [Epoch 058] training: accuracy=69.624568 loss=1.181537 [Epoch 058] speed: 131 samples/sec time cost: 2018.327775 [Epoch 058] validation: acc-top1=59.173886 acc-top5=81.853342 loss=1.972333 Epoch[059] Batch [0049]/[3760] Speed: 95.664983 samples/sec accuracy=72.031250 loss=1.085157 lr=0.003601 Epoch[059] Batch [0099]/[3760] Speed: 150.383242 samples/sec accuracy=71.500000 loss=1.104293 lr=0.003599 Epoch[059] Batch [0149]/[3760] Speed: 113.100689 samples/sec accuracy=71.562500 loss=1.113758 lr=0.003597 Epoch[059] Batch [0199]/[3760] Speed: 132.816154 samples/sec accuracy=71.007812 loss=1.124684 lr=0.003595 Epoch[059] Batch [0249]/[3760] Speed: 125.858687 samples/sec accuracy=71.281250 loss=1.121213 lr=0.003593 Epoch[059] Batch 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accuracy=70.720833 loss=1.147357 lr=0.003573 Epoch[059] Batch [0799]/[3760] Speed: 129.952441 samples/sec accuracy=70.667969 loss=1.149320 lr=0.003571 Epoch[059] Batch [0849]/[3760] Speed: 126.746603 samples/sec accuracy=70.639706 loss=1.149977 lr=0.003569 Epoch[059] Batch [0899]/[3760] Speed: 138.913354 samples/sec accuracy=70.602431 loss=1.150243 lr=0.003567 Epoch[059] Batch [0949]/[3760] Speed: 126.937885 samples/sec accuracy=70.613487 loss=1.150029 lr=0.003565 Epoch[059] Batch [0999]/[3760] Speed: 136.178566 samples/sec accuracy=70.618750 loss=1.149156 lr=0.003563 Epoch[059] Batch [1049]/[3760] Speed: 130.071205 samples/sec accuracy=70.592262 loss=1.148568 lr=0.003561 Epoch[059] Batch [1099]/[3760] Speed: 135.550212 samples/sec accuracy=70.630682 loss=1.147974 lr=0.003559 Epoch[059] Batch [1149]/[3760] Speed: 132.197795 samples/sec accuracy=70.633152 loss=1.146678 lr=0.003557 Epoch[059] Batch [1199]/[3760] Speed: 129.359587 samples/sec accuracy=70.565104 loss=1.148520 lr=0.003555 Epoch[059] Batch [1249]/[3760] Speed: 130.036846 samples/sec accuracy=70.541250 loss=1.149601 lr=0.003553 Epoch[059] Batch [1299]/[3760] Speed: 135.116526 samples/sec accuracy=70.555288 loss=1.149144 lr=0.003551 Epoch[059] Batch [1349]/[3760] Speed: 126.860614 samples/sec accuracy=70.564815 loss=1.149780 lr=0.003549 Epoch[059] Batch [1399]/[3760] Speed: 135.204370 samples/sec accuracy=70.525670 loss=1.151419 lr=0.003547 Epoch[059] Batch [1449]/[3760] Speed: 126.264763 samples/sec accuracy=70.524784 loss=1.151143 lr=0.003545 Epoch[059] Batch [1499]/[3760] Speed: 132.156774 samples/sec accuracy=70.538542 loss=1.150158 lr=0.003543 Epoch[059] Batch [1549]/[3760] Speed: 135.636154 samples/sec accuracy=70.526210 loss=1.150493 lr=0.003541 Epoch[059] Batch [1599]/[3760] Speed: 127.731552 samples/sec accuracy=70.464844 loss=1.151889 lr=0.003539 Epoch[059] Batch [1649]/[3760] Speed: 135.947599 samples/sec accuracy=70.464962 loss=1.152878 lr=0.003537 Epoch[059] Batch [1699]/[3760] Speed: 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loss=1.157754 lr=0.003517 Epoch[059] Batch [2199]/[3760] Speed: 126.685318 samples/sec accuracy=70.320312 loss=1.158416 lr=0.003515 Epoch[059] Batch [2249]/[3760] Speed: 132.254834 samples/sec accuracy=70.352778 loss=1.158042 lr=0.003513 Epoch[059] Batch [2299]/[3760] Speed: 128.556575 samples/sec accuracy=70.366168 loss=1.157735 lr=0.003511 Epoch[059] Batch [2349]/[3760] Speed: 130.461511 samples/sec accuracy=70.313830 loss=1.159258 lr=0.003509 Epoch[059] Batch [2399]/[3760] Speed: 139.469862 samples/sec accuracy=70.335286 loss=1.158403 lr=0.003507 Epoch[059] Batch [2449]/[3760] Speed: 124.797001 samples/sec accuracy=70.335459 loss=1.158206 lr=0.003505 Epoch[059] Batch [2499]/[3760] Speed: 134.371327 samples/sec accuracy=70.348750 loss=1.158164 lr=0.003503 Epoch[059] Batch [2549]/[3760] Speed: 125.827585 samples/sec accuracy=70.332108 loss=1.158594 lr=0.003502 Epoch[059] Batch [2599]/[3760] Speed: 138.500141 samples/sec accuracy=70.349760 loss=1.158741 lr=0.003500 Epoch[059] Batch 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accuracy=70.254032 loss=1.161605 lr=0.003480 Epoch[059] Batch [3149]/[3760] Speed: 151.432687 samples/sec accuracy=70.259425 loss=1.161369 lr=0.003478 Epoch[059] Batch [3199]/[3760] Speed: 114.710626 samples/sec accuracy=70.252441 loss=1.161098 lr=0.003476 Epoch[059] Batch [3249]/[3760] Speed: 144.621298 samples/sec accuracy=70.234135 loss=1.161851 lr=0.003474 Epoch[059] Batch [3299]/[3760] Speed: 119.045742 samples/sec accuracy=70.229167 loss=1.162414 lr=0.003472 Epoch[059] Batch [3349]/[3760] Speed: 147.516234 samples/sec accuracy=70.206157 loss=1.162770 lr=0.003470 Epoch[059] Batch [3399]/[3760] Speed: 113.896328 samples/sec accuracy=70.198989 loss=1.162752 lr=0.003468 Epoch[059] Batch [3449]/[3760] Speed: 158.223411 samples/sec accuracy=70.193388 loss=1.162889 lr=0.003466 Epoch[059] Batch [3499]/[3760] Speed: 117.800106 samples/sec accuracy=70.210714 loss=1.162339 lr=0.003464 Epoch[059] Batch [3549]/[3760] Speed: 140.356293 samples/sec accuracy=70.191461 loss=1.162585 lr=0.003462 Epoch[059] Batch [3599]/[3760] Speed: 131.187331 samples/sec accuracy=70.173177 loss=1.162803 lr=0.003460 Epoch[059] Batch [3649]/[3760] Speed: 126.579326 samples/sec accuracy=70.148973 loss=1.164147 lr=0.003458 Epoch[059] Batch [3699]/[3760] Speed: 139.783650 samples/sec accuracy=70.135557 loss=1.164348 lr=0.003456 Epoch[059] Batch [3749]/[3760] Speed: 144.243363 samples/sec accuracy=70.127917 loss=1.164281 lr=0.003454 Batch [0049]/[0303]: acc-top1=59.718750 acc-top5=82.781250 Batch [0099]/[0303]: acc-top1=59.531250 acc-top5=82.218750 Batch [0149]/[0303]: acc-top1=60.000000 acc-top5=82.062500 Batch [0199]/[0303]: acc-top1=59.781250 acc-top5=82.023438 Batch [0249]/[0303]: acc-top1=59.831250 acc-top5=81.856250 Batch [0299]/[0303]: acc-top1=59.979167 acc-top5=82.036458 [Epoch 059] training: accuracy=70.130485 loss=1.164295 [Epoch 059] speed: 131 samples/sec time cost: 2020.714896 [Epoch 059] validation: acc-top1=59.978342 acc-top5=82.049299 loss=1.993395 Epoch[060] Batch [0049]/[3760] 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accuracy=71.531250 loss=1.113539 lr=0.003433 Epoch[060] Batch [0549]/[3760] Speed: 110.719337 samples/sec accuracy=71.448864 loss=1.111753 lr=0.003432 Epoch[060] Batch [0599]/[3760] Speed: 158.458702 samples/sec accuracy=71.445312 loss=1.111378 lr=0.003430 Epoch[060] Batch [0649]/[3760] Speed: 112.100340 samples/sec accuracy=71.427885 loss=1.111480 lr=0.003428 Epoch[060] Batch [0699]/[3760] Speed: 148.144229 samples/sec accuracy=71.455357 loss=1.111473 lr=0.003426 Epoch[060] Batch [0749]/[3760] Speed: 121.134762 samples/sec accuracy=71.443750 loss=1.110384 lr=0.003424 Epoch[060] Batch [0799]/[3760] Speed: 139.506669 samples/sec accuracy=71.527344 loss=1.107001 lr=0.003422 Epoch[060] Batch [0849]/[3760] Speed: 122.952407 samples/sec accuracy=71.490809 loss=1.108503 lr=0.003420 Epoch[060] Batch [0899]/[3760] Speed: 138.592712 samples/sec accuracy=71.442708 loss=1.108978 lr=0.003418 Epoch[060] Batch [0949]/[3760] Speed: 144.969304 samples/sec accuracy=71.381579 loss=1.110726 lr=0.003416 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accuracy=70.692434 loss=1.138561 lr=0.003341 Epoch[060] Batch [2899]/[3760] Speed: 134.453572 samples/sec accuracy=70.671336 loss=1.138792 lr=0.003339 Epoch[060] Batch [2949]/[3760] Speed: 131.056990 samples/sec accuracy=70.659958 loss=1.139744 lr=0.003337 Epoch[060] Batch [2999]/[3760] Speed: 138.958368 samples/sec accuracy=70.652604 loss=1.139730 lr=0.003335 Epoch[060] Batch [3049]/[3760] Speed: 125.433323 samples/sec accuracy=70.626537 loss=1.140788 lr=0.003333 Epoch[060] Batch [3099]/[3760] Speed: 132.980443 samples/sec accuracy=70.625000 loss=1.141457 lr=0.003331 Epoch[060] Batch [3149]/[3760] Speed: 132.912552 samples/sec accuracy=70.606647 loss=1.142061 lr=0.003329 Epoch[060] Batch [3199]/[3760] Speed: 129.478760 samples/sec accuracy=70.596191 loss=1.142554 lr=0.003327 Epoch[060] Batch [3249]/[3760] Speed: 127.265326 samples/sec accuracy=70.596635 loss=1.142802 lr=0.003325 Epoch[060] Batch [3299]/[3760] Speed: 138.882041 samples/sec accuracy=70.609848 loss=1.142577 lr=0.003323 Epoch[060] Batch [3349]/[3760] Speed: 129.509862 samples/sec accuracy=70.630597 loss=1.141891 lr=0.003321 Epoch[060] Batch [3399]/[3760] Speed: 129.607977 samples/sec accuracy=70.614890 loss=1.142299 lr=0.003319 Epoch[060] Batch [3449]/[3760] Speed: 130.010878 samples/sec accuracy=70.616848 loss=1.142484 lr=0.003317 Epoch[060] Batch [3499]/[3760] Speed: 131.806767 samples/sec accuracy=70.604911 loss=1.142922 lr=0.003315 Epoch[060] Batch [3549]/[3760] Speed: 140.284762 samples/sec accuracy=70.597271 loss=1.143616 lr=0.003313 Epoch[060] Batch [3599]/[3760] Speed: 126.702829 samples/sec accuracy=70.595920 loss=1.143590 lr=0.003311 Epoch[060] Batch [3649]/[3760] Speed: 135.340924 samples/sec accuracy=70.594178 loss=1.143474 lr=0.003309 Epoch[060] Batch [3699]/[3760] Speed: 118.101869 samples/sec accuracy=70.590794 loss=1.143875 lr=0.003307 Epoch[060] Batch [3749]/[3760] Speed: 170.713750 samples/sec accuracy=70.581667 loss=1.144013 lr=0.003305 Batch [0049]/[0303]: acc-top1=59.156250 acc-top5=81.593750 Batch [0099]/[0303]: acc-top1=58.750000 acc-top5=81.296875 Batch [0149]/[0303]: acc-top1=59.375000 acc-top5=81.354167 Batch [0199]/[0303]: acc-top1=59.085938 acc-top5=81.343750 Batch [0249]/[0303]: acc-top1=59.268750 acc-top5=81.281250 Batch [0299]/[0303]: acc-top1=59.395833 acc-top5=81.437500 [Epoch 060] training: accuracy=70.573471 loss=1.144367 [Epoch 060] speed: 131 samples/sec time cost: 2020.588455 [Epoch 060] validation: acc-top1=59.411097 acc-top5=81.445957 loss=1.983363 Epoch[061] Batch [0049]/[3759] Speed: 95.972115 samples/sec accuracy=72.937500 loss=1.038631 lr=0.003303 Epoch[061] Batch [0099]/[3759] Speed: 149.393351 samples/sec accuracy=71.687500 loss=1.095043 lr=0.003301 Epoch[061] Batch [0149]/[3759] Speed: 117.825477 samples/sec accuracy=71.645833 loss=1.083953 lr=0.003299 Epoch[061] Batch [0199]/[3759] Speed: 146.996353 samples/sec accuracy=71.437500 loss=1.100377 lr=0.003297 Epoch[061] Batch [0249]/[3759] Speed: 116.638025 samples/sec accuracy=71.512500 loss=1.101961 lr=0.003295 Epoch[061] Batch [0299]/[3759] Speed: 152.472297 samples/sec accuracy=71.635417 loss=1.092921 lr=0.003293 Epoch[061] Batch [0349]/[3759] Speed: 114.046436 samples/sec accuracy=71.375000 loss=1.101590 lr=0.003291 Epoch[061] Batch [0399]/[3759] Speed: 149.652369 samples/sec accuracy=71.363281 loss=1.102407 lr=0.003289 Epoch[061] Batch [0449]/[3759] Speed: 114.832103 samples/sec accuracy=71.371528 loss=1.104368 lr=0.003287 Epoch[061] Batch [0499]/[3759] Speed: 147.020868 samples/sec accuracy=71.453125 loss=1.103222 lr=0.003285 Epoch[061] Batch [0549]/[3759] Speed: 127.463437 samples/sec accuracy=71.326705 loss=1.109600 lr=0.003283 Epoch[061] Batch [0599]/[3759] Speed: 129.471396 samples/sec accuracy=71.302083 loss=1.112117 lr=0.003281 Epoch[061] Batch [0649]/[3759] Speed: 126.039859 samples/sec accuracy=71.295673 loss=1.112571 lr=0.003279 Epoch[061] Batch [0699]/[3759] Speed: 140.853710 samples/sec accuracy=71.216518 loss=1.118751 lr=0.003277 Epoch[061] Batch [0749]/[3759] Speed: 123.558493 samples/sec accuracy=71.256250 loss=1.116465 lr=0.003275 Epoch[061] Batch [0799]/[3759] Speed: 132.701174 samples/sec accuracy=71.310547 loss=1.115033 lr=0.003273 Epoch[061] Batch [0849]/[3759] Speed: 131.022985 samples/sec accuracy=71.318015 loss=1.113523 lr=0.003271 Epoch[061] Batch [0899]/[3759] Speed: 130.375895 samples/sec accuracy=71.314236 loss=1.114368 lr=0.003269 Epoch[061] Batch [0949]/[3759] Speed: 143.025041 samples/sec accuracy=71.353618 loss=1.115356 lr=0.003267 Epoch[061] Batch [0999]/[3759] Speed: 120.570418 samples/sec accuracy=71.367188 loss=1.115019 lr=0.003265 Epoch[061] Batch [1049]/[3759] Speed: 152.563857 samples/sec accuracy=71.281250 loss=1.117322 lr=0.003264 Epoch[061] Batch [1099]/[3759] Speed: 115.454186 samples/sec accuracy=71.237216 loss=1.117718 lr=0.003262 Epoch[061] Batch [1149]/[3759] Speed: 149.042500 samples/sec accuracy=71.293478 loss=1.117822 lr=0.003260 Epoch[061] Batch [1199]/[3759] Speed: 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loss=1.118833 lr=0.003240 Epoch[061] Batch [1699]/[3759] Speed: 141.042427 samples/sec accuracy=71.313419 loss=1.120664 lr=0.003238 Epoch[061] Batch [1749]/[3759] Speed: 124.137385 samples/sec accuracy=71.325000 loss=1.120507 lr=0.003236 Epoch[061] Batch [1799]/[3759] Speed: 140.070153 samples/sec accuracy=71.311632 loss=1.120433 lr=0.003234 Epoch[061] Batch [1849]/[3759] Speed: 120.529240 samples/sec accuracy=71.309122 loss=1.120714 lr=0.003232 Epoch[061] Batch [1899]/[3759] Speed: 145.465226 samples/sec accuracy=71.291941 loss=1.121445 lr=0.003230 Epoch[061] Batch [1949]/[3759] Speed: 124.649520 samples/sec accuracy=71.254006 loss=1.122668 lr=0.003228 Epoch[061] Batch [1999]/[3759] Speed: 137.499992 samples/sec accuracy=71.214062 loss=1.123807 lr=0.003226 Epoch[061] Batch [2049]/[3759] Speed: 123.916738 samples/sec accuracy=71.213415 loss=1.123925 lr=0.003224 Epoch[061] Batch [2099]/[3759] Speed: 134.214194 samples/sec accuracy=71.197173 loss=1.124073 lr=0.003222 Epoch[061] Batch 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accuracy=71.042067 loss=1.130857 lr=0.003203 Epoch[061] Batch [2649]/[3759] Speed: 134.715333 samples/sec accuracy=71.063090 loss=1.130008 lr=0.003201 Epoch[061] Batch [2699]/[3759] Speed: 133.984765 samples/sec accuracy=71.082755 loss=1.129395 lr=0.003199 Epoch[061] Batch [2749]/[3759] Speed: 127.488501 samples/sec accuracy=71.050000 loss=1.130316 lr=0.003197 Epoch[061] Batch [2799]/[3759] Speed: 134.006305 samples/sec accuracy=71.069196 loss=1.129514 lr=0.003195 Epoch[061] Batch [2849]/[3759] Speed: 122.303769 samples/sec accuracy=71.055373 loss=1.130273 lr=0.003193 Epoch[061] Batch [2899]/[3759] Speed: 151.126952 samples/sec accuracy=71.037177 loss=1.130209 lr=0.003191 Epoch[061] Batch [2949]/[3759] Speed: 111.490569 samples/sec accuracy=71.020657 loss=1.130561 lr=0.003189 Epoch[061] Batch [2999]/[3759] Speed: 156.987685 samples/sec accuracy=71.024479 loss=1.130139 lr=0.003187 Epoch[061] Batch [3049]/[3759] Speed: 128.920366 samples/sec accuracy=71.009221 loss=1.131120 lr=0.003185 Epoch[061] Batch [3099]/[3759] Speed: 128.417423 samples/sec accuracy=71.008065 loss=1.130998 lr=0.003183 Epoch[061] Batch [3149]/[3759] Speed: 137.561411 samples/sec accuracy=71.010913 loss=1.131407 lr=0.003181 Epoch[061] Batch [3199]/[3759] Speed: 119.901206 samples/sec accuracy=71.012207 loss=1.131149 lr=0.003180 Epoch[061] Batch [3249]/[3759] Speed: 139.680141 samples/sec accuracy=70.999519 loss=1.131640 lr=0.003178 Epoch[061] Batch [3299]/[3759] Speed: 122.122214 samples/sec accuracy=70.975379 loss=1.132675 lr=0.003176 Epoch[061] Batch [3349]/[3759] Speed: 142.413891 samples/sec accuracy=70.971082 loss=1.132593 lr=0.003174 Epoch[061] Batch [3399]/[3759] Speed: 124.189807 samples/sec accuracy=70.969669 loss=1.132371 lr=0.003172 Epoch[061] Batch [3449]/[3759] Speed: 130.198589 samples/sec accuracy=70.946105 loss=1.133119 lr=0.003170 Epoch[061] Batch [3499]/[3759] Speed: 140.261398 samples/sec accuracy=70.937054 loss=1.133439 lr=0.003168 Epoch[061] Batch [3549]/[3759] Speed: 125.288271 samples/sec accuracy=70.926496 loss=1.134155 lr=0.003166 Epoch[061] Batch [3599]/[3759] Speed: 151.634020 samples/sec accuracy=70.922743 loss=1.134296 lr=0.003164 Epoch[061] Batch [3649]/[3759] Speed: 112.673776 samples/sec accuracy=70.931507 loss=1.134057 lr=0.003162 Epoch[061] Batch [3699]/[3759] Speed: 152.758327 samples/sec accuracy=70.920608 loss=1.134371 lr=0.003160 Epoch[061] Batch [3749]/[3759] Speed: 141.694870 samples/sec accuracy=70.912083 loss=1.134218 lr=0.003158 Batch [0049]/[0303]: acc-top1=59.281250 acc-top5=81.812500 Batch [0099]/[0303]: acc-top1=58.953125 acc-top5=81.593750 Batch [0149]/[0303]: acc-top1=59.208333 acc-top5=81.583333 Batch [0199]/[0303]: acc-top1=58.968750 acc-top5=81.789062 Batch [0249]/[0303]: acc-top1=59.056250 acc-top5=81.681250 Batch [0299]/[0303]: acc-top1=59.239583 acc-top5=81.802083 [Epoch 061] training: accuracy=70.904413 loss=1.134315 [Epoch 061] speed: 131 samples/sec time cost: 2017.049832 [Epoch 061] validation: acc-top1=59.235767 acc-top5=81.791460 loss=2.003510 Epoch[062] Batch [0049]/[3760] Speed: 94.367308 samples/sec accuracy=72.375000 loss=1.087312 lr=0.003156 Epoch[062] Batch [0099]/[3760] Speed: 149.573693 samples/sec accuracy=72.171875 loss=1.074877 lr=0.003154 Epoch[062] Batch [0149]/[3760] Speed: 112.831204 samples/sec accuracy=71.843750 loss=1.095132 lr=0.003152 Epoch[062] Batch [0199]/[3760] Speed: 148.392731 samples/sec accuracy=72.226562 loss=1.083798 lr=0.003150 Epoch[062] Batch [0249]/[3760] Speed: 114.736679 samples/sec accuracy=71.875000 loss=1.092680 lr=0.003148 Epoch[062] Batch [0299]/[3760] Speed: 153.793223 samples/sec accuracy=71.875000 loss=1.084588 lr=0.003146 Epoch[062] Batch [0349]/[3760] Speed: 117.857673 samples/sec accuracy=71.933036 loss=1.085743 lr=0.003144 Epoch[062] Batch [0399]/[3760] Speed: 137.930518 samples/sec accuracy=72.093750 loss=1.082722 lr=0.003142 Epoch[062] Batch [0449]/[3760] Speed: 125.127544 samples/sec accuracy=72.118056 loss=1.084023 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accuracy=71.681920 loss=1.102229 lr=0.003104 Epoch[062] Batch [1449]/[3760] Speed: 126.190268 samples/sec accuracy=71.654095 loss=1.104021 lr=0.003102 Epoch[062] Batch [1499]/[3760] Speed: 138.265475 samples/sec accuracy=71.704167 loss=1.102817 lr=0.003100 Epoch[062] Batch [1549]/[3760] Speed: 124.230308 samples/sec accuracy=71.706653 loss=1.102925 lr=0.003098 Epoch[062] Batch [1599]/[3760] Speed: 135.610261 samples/sec accuracy=71.697266 loss=1.103939 lr=0.003096 Epoch[062] Batch [1649]/[3760] Speed: 133.699980 samples/sec accuracy=71.664773 loss=1.104177 lr=0.003094 Epoch[062] Batch [1699]/[3760] Speed: 128.896853 samples/sec accuracy=71.687500 loss=1.103481 lr=0.003092 Epoch[062] Batch [1749]/[3760] Speed: 136.294019 samples/sec accuracy=71.675000 loss=1.104332 lr=0.003090 Epoch[062] Batch [1799]/[3760] Speed: 124.533032 samples/sec accuracy=71.653646 loss=1.105275 lr=0.003088 Epoch[062] Batch [1849]/[3760] Speed: 140.941835 samples/sec accuracy=71.627534 loss=1.105889 lr=0.003086 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loss=1.108543 lr=0.003050 Epoch[062] Batch [2849]/[3760] Speed: 135.029766 samples/sec accuracy=71.450658 loss=1.108749 lr=0.003048 Epoch[062] Batch [2899]/[3760] Speed: 125.152716 samples/sec accuracy=71.436422 loss=1.109405 lr=0.003046 Epoch[062] Batch [2949]/[3760] Speed: 130.574961 samples/sec accuracy=71.422140 loss=1.109903 lr=0.003044 Epoch[062] Batch [2999]/[3760] Speed: 133.306901 samples/sec accuracy=71.422396 loss=1.110130 lr=0.003042 Epoch[062] Batch [3049]/[3760] Speed: 131.733856 samples/sec accuracy=71.420594 loss=1.110273 lr=0.003040 Epoch[062] Batch [3099]/[3760] Speed: 126.716789 samples/sec accuracy=71.406250 loss=1.111023 lr=0.003038 Epoch[062] Batch [3149]/[3760] Speed: 140.985558 samples/sec accuracy=71.404762 loss=1.111676 lr=0.003036 Epoch[062] Batch [3199]/[3760] Speed: 125.789522 samples/sec accuracy=71.389160 loss=1.112173 lr=0.003034 Epoch[062] Batch [3249]/[3760] Speed: 153.936676 samples/sec accuracy=71.371635 loss=1.112638 lr=0.003032 Epoch[062] Batch 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accuracy=71.282917 loss=1.115247 lr=0.003013 Batch [0049]/[0303]: acc-top1=59.625000 acc-top5=82.156250 Batch [0099]/[0303]: acc-top1=58.531250 acc-top5=81.796875 Batch [0149]/[0303]: acc-top1=59.104167 acc-top5=81.697917 Batch [0199]/[0303]: acc-top1=59.000000 acc-top5=81.773438 Batch [0249]/[0303]: acc-top1=59.100000 acc-top5=81.606250 Batch [0299]/[0303]: acc-top1=59.307292 acc-top5=81.651042 [Epoch 062] training: accuracy=71.288231 loss=1.114989 [Epoch 062] speed: 131 samples/sec time cost: 2017.234138 [Epoch 062] validation: acc-top1=59.282178 acc-top5=81.662541 loss=1.986400 Epoch[063] Batch [0049]/[3760] Speed: 95.764606 samples/sec accuracy=72.843750 loss=1.058303 lr=0.003011 Epoch[063] Batch [0099]/[3760] Speed: 129.252179 samples/sec accuracy=72.640625 loss=1.080516 lr=0.003009 Epoch[063] Batch [0149]/[3760] Speed: 129.966051 samples/sec accuracy=72.572917 loss=1.070699 lr=0.003007 Epoch[063] Batch [0199]/[3760] Speed: 140.832578 samples/sec accuracy=72.460938 loss=1.068884 lr=0.003005 Epoch[063] Batch [0249]/[3760] Speed: 118.667387 samples/sec accuracy=72.331250 loss=1.069283 lr=0.003003 Epoch[063] Batch [0299]/[3760] Speed: 141.181002 samples/sec accuracy=72.291667 loss=1.070911 lr=0.003001 Epoch[063] Batch [0349]/[3760] Speed: 127.608244 samples/sec accuracy=72.214286 loss=1.070646 lr=0.002999 Epoch[063] Batch [0399]/[3760] Speed: 134.292255 samples/sec accuracy=72.234375 loss=1.071141 lr=0.002997 Epoch[063] Batch [0449]/[3760] Speed: 137.557975 samples/sec accuracy=72.083333 loss=1.074302 lr=0.002995 Epoch[063] Batch [0499]/[3760] Speed: 132.710683 samples/sec accuracy=72.153125 loss=1.074291 lr=0.002994 Epoch[063] Batch [0549]/[3760] Speed: 131.702081 samples/sec accuracy=72.150568 loss=1.074933 lr=0.002992 Epoch[063] Batch [0599]/[3760] Speed: 130.857732 samples/sec accuracy=72.049479 loss=1.077547 lr=0.002990 Epoch[063] Batch [0649]/[3760] Speed: 130.139059 samples/sec accuracy=71.990385 loss=1.080137 lr=0.002988 Epoch[063] Batch [0699]/[3760] 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accuracy=71.902174 loss=1.086040 lr=0.002969 Epoch[063] Batch [1199]/[3760] Speed: 123.096240 samples/sec accuracy=71.871094 loss=1.086083 lr=0.002967 Epoch[063] Batch [1249]/[3760] Speed: 134.487735 samples/sec accuracy=71.883750 loss=1.085193 lr=0.002965 Epoch[063] Batch [1299]/[3760] Speed: 125.535074 samples/sec accuracy=71.867788 loss=1.085886 lr=0.002963 Epoch[063] Batch [1349]/[3760] Speed: 140.789872 samples/sec accuracy=71.903935 loss=1.085107 lr=0.002961 Epoch[063] Batch [1399]/[3760] Speed: 119.153082 samples/sec accuracy=71.910714 loss=1.085930 lr=0.002959 Epoch[063] Batch [1449]/[3760] Speed: 152.281567 samples/sec accuracy=71.896552 loss=1.086176 lr=0.002957 Epoch[063] Batch [1499]/[3760] Speed: 125.856436 samples/sec accuracy=71.896875 loss=1.086116 lr=0.002955 Epoch[063] Batch [1549]/[3760] Speed: 134.502459 samples/sec accuracy=71.892137 loss=1.086706 lr=0.002953 Epoch[063] Batch [1599]/[3760] Speed: 136.515376 samples/sec accuracy=71.871094 loss=1.086288 lr=0.002951 Epoch[063] Batch [1649]/[3760] Speed: 122.456755 samples/sec accuracy=71.880682 loss=1.086416 lr=0.002950 Epoch[063] Batch [1699]/[3760] Speed: 131.860898 samples/sec accuracy=71.859375 loss=1.087489 lr=0.002948 Epoch[063] Batch [1749]/[3760] Speed: 129.495460 samples/sec accuracy=71.852679 loss=1.088398 lr=0.002946 Epoch[063] Batch [1799]/[3760] Speed: 140.350960 samples/sec accuracy=71.857639 loss=1.088479 lr=0.002944 Epoch[063] Batch [1849]/[3760] Speed: 125.554830 samples/sec accuracy=71.861486 loss=1.087956 lr=0.002942 Epoch[063] Batch [1899]/[3760] Speed: 147.282914 samples/sec accuracy=71.865132 loss=1.088358 lr=0.002940 Epoch[063] Batch [1949]/[3760] Speed: 117.253717 samples/sec accuracy=71.849359 loss=1.089485 lr=0.002938 Epoch[063] Batch [1999]/[3760] Speed: 148.242869 samples/sec accuracy=71.846094 loss=1.090345 lr=0.002936 Epoch[063] Batch [2049]/[3760] Speed: 117.596376 samples/sec accuracy=71.819360 loss=1.091875 lr=0.002934 Epoch[063] Batch [2099]/[3760] Speed: 149.426704 samples/sec accuracy=71.802827 loss=1.092347 lr=0.002932 Epoch[063] Batch [2149]/[3760] Speed: 116.880352 samples/sec accuracy=71.808140 loss=1.092316 lr=0.002931 Epoch[063] Batch [2199]/[3760] Speed: 144.869709 samples/sec accuracy=71.823864 loss=1.092121 lr=0.002929 Epoch[063] Batch [2249]/[3760] Speed: 125.928053 samples/sec accuracy=71.844444 loss=1.091119 lr=0.002927 Epoch[063] Batch [2299]/[3760] Speed: 132.574576 samples/sec accuracy=71.831522 loss=1.091750 lr=0.002925 Epoch[063] Batch [2349]/[3760] Speed: 137.269665 samples/sec accuracy=71.837766 loss=1.091884 lr=0.002923 Epoch[063] Batch [2399]/[3760] Speed: 123.409483 samples/sec accuracy=71.852865 loss=1.090915 lr=0.002921 Epoch[063] Batch [2449]/[3760] Speed: 135.753278 samples/sec accuracy=71.866709 loss=1.090436 lr=0.002919 Epoch[063] Batch [2499]/[3760] Speed: 126.500988 samples/sec accuracy=71.871875 loss=1.090171 lr=0.002917 Epoch[063] Batch [2549]/[3760] Speed: 137.596484 samples/sec accuracy=71.846201 loss=1.092056 lr=0.002915 Epoch[063] Batch [2599]/[3760] Speed: 124.547074 samples/sec accuracy=71.846154 loss=1.092560 lr=0.002913 Epoch[063] Batch [2649]/[3760] Speed: 140.882562 samples/sec accuracy=71.831958 loss=1.092970 lr=0.002912 Epoch[063] Batch [2699]/[3760] Speed: 123.439401 samples/sec accuracy=71.818866 loss=1.093264 lr=0.002910 Epoch[063] Batch [2749]/[3760] Speed: 137.709419 samples/sec accuracy=71.835227 loss=1.092981 lr=0.002908 Epoch[063] Batch [2799]/[3760] Speed: 122.988485 samples/sec accuracy=71.826451 loss=1.093352 lr=0.002906 Epoch[063] Batch [2849]/[3760] Speed: 138.230936 samples/sec accuracy=71.805921 loss=1.093657 lr=0.002904 Epoch[063] Batch [2899]/[3760] Speed: 134.332629 samples/sec accuracy=71.804418 loss=1.094141 lr=0.002902 Epoch[063] Batch [2949]/[3760] Speed: 124.097202 samples/sec accuracy=71.773305 loss=1.094891 lr=0.002900 Epoch[063] Batch [2999]/[3760] Speed: 142.474698 samples/sec accuracy=71.784896 loss=1.094532 lr=0.002898 Epoch[063] Batch [3049]/[3760] Speed: 123.450916 samples/sec accuracy=71.759221 loss=1.095241 lr=0.002896 Epoch[063] Batch [3099]/[3760] Speed: 141.077625 samples/sec accuracy=71.748992 loss=1.095006 lr=0.002894 Epoch[063] Batch [3149]/[3760] Speed: 133.419173 samples/sec accuracy=71.735615 loss=1.095507 lr=0.002893 Epoch[063] Batch [3199]/[3760] Speed: 123.590109 samples/sec accuracy=71.724121 loss=1.095815 lr=0.002891 Epoch[063] Batch [3249]/[3760] Speed: 136.257976 samples/sec accuracy=71.706731 loss=1.096413 lr=0.002889 Epoch[063] Batch [3299]/[3760] Speed: 128.357025 samples/sec accuracy=71.706439 loss=1.096655 lr=0.002887 Epoch[063] Batch [3349]/[3760] Speed: 139.710191 samples/sec accuracy=71.687966 loss=1.097392 lr=0.002885 Epoch[063] Batch [3399]/[3760] Speed: 124.518186 samples/sec accuracy=71.673713 loss=1.097784 lr=0.002883 Epoch[063] Batch [3449]/[3760] Speed: 141.086779 samples/sec accuracy=71.673913 loss=1.097730 lr=0.002881 Epoch[063] Batch [3499]/[3760] Speed: 121.145030 samples/sec accuracy=71.672321 loss=1.097769 lr=0.002879 Epoch[063] Batch [3549]/[3760] Speed: 142.536921 samples/sec accuracy=71.681778 loss=1.097425 lr=0.002877 Epoch[063] Batch [3599]/[3760] Speed: 122.297724 samples/sec accuracy=71.689670 loss=1.097086 lr=0.002876 Epoch[063] Batch [3649]/[3760] Speed: 139.218357 samples/sec accuracy=71.676798 loss=1.097421 lr=0.002874 Epoch[063] Batch [3699]/[3760] Speed: 131.790917 samples/sec accuracy=71.652027 loss=1.098291 lr=0.002872 Epoch[063] Batch [3749]/[3760] Speed: 152.411840 samples/sec accuracy=71.661667 loss=1.097457 lr=0.002870 Batch [0049]/[0303]: acc-top1=60.937500 acc-top5=82.593750 Batch [0099]/[0303]: acc-top1=59.921875 acc-top5=82.078125 Batch [0149]/[0303]: acc-top1=60.239583 acc-top5=82.177083 Batch [0199]/[0303]: acc-top1=59.968750 acc-top5=82.062500 Batch [0249]/[0303]: acc-top1=59.950000 acc-top5=81.987500 Batch [0299]/[0303]: acc-top1=60.135417 acc-top5=82.130208 [Epoch 063] training: accuracy=71.657663 loss=1.097621 [Epoch 063] speed: 131 samples/sec time cost: 2016.466353 [Epoch 063] validation: acc-top1=60.107261 acc-top5=82.111180 loss=1.996487 Epoch[064] Batch [0049]/[3759] Speed: 94.853048 samples/sec accuracy=73.343750 loss=1.024072 lr=0.002868 Epoch[064] Batch [0099]/[3759] Speed: 150.113049 samples/sec accuracy=72.453125 loss=1.043054 lr=0.002866 Epoch[064] Batch [0149]/[3759] Speed: 114.978237 samples/sec accuracy=72.552083 loss=1.048086 lr=0.002864 Epoch[064] Batch [0199]/[3759] Speed: 151.324738 samples/sec accuracy=72.875000 loss=1.043698 lr=0.002862 Epoch[064] Batch [0249]/[3759] Speed: 113.898035 samples/sec accuracy=72.950000 loss=1.035523 lr=0.002860 Epoch[064] Batch [0299]/[3759] Speed: 137.988581 samples/sec accuracy=72.979167 loss=1.036775 lr=0.002858 Epoch[064] Batch [0349]/[3759] Speed: 124.978986 samples/sec accuracy=72.781250 loss=1.041850 lr=0.002856 Epoch[064] Batch [0399]/[3759] Speed: 143.761946 samples/sec accuracy=72.871094 loss=1.039881 lr=0.002854 Epoch[064] Batch [0449]/[3759] 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accuracy=72.717014 loss=1.054449 lr=0.002836 Epoch[064] Batch [0949]/[3759] Speed: 142.398058 samples/sec accuracy=72.713816 loss=1.055404 lr=0.002834 Epoch[064] Batch [0999]/[3759] Speed: 125.548090 samples/sec accuracy=72.651562 loss=1.057721 lr=0.002832 Epoch[064] Batch [1049]/[3759] Speed: 136.003860 samples/sec accuracy=72.696429 loss=1.057407 lr=0.002830 Epoch[064] Batch [1099]/[3759] Speed: 126.899801 samples/sec accuracy=72.680398 loss=1.058568 lr=0.002828 Epoch[064] Batch [1149]/[3759] Speed: 136.788921 samples/sec accuracy=72.664402 loss=1.059244 lr=0.002826 Epoch[064] Batch [1199]/[3759] Speed: 129.863618 samples/sec accuracy=72.664062 loss=1.059585 lr=0.002824 Epoch[064] Batch [1249]/[3759] Speed: 125.805088 samples/sec accuracy=72.668750 loss=1.059406 lr=0.002822 Epoch[064] Batch [1299]/[3759] Speed: 146.490303 samples/sec accuracy=72.632212 loss=1.060707 lr=0.002820 Epoch[064] Batch [1349]/[3759] Speed: 116.917365 samples/sec accuracy=72.623843 loss=1.060922 lr=0.002819 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accuracy=72.273077 loss=1.074080 lr=0.002747 Epoch[064] Batch [3299]/[3759] Speed: 134.722514 samples/sec accuracy=72.256629 loss=1.074223 lr=0.002746 Epoch[064] Batch [3349]/[3759] Speed: 130.765293 samples/sec accuracy=72.256996 loss=1.074401 lr=0.002744 Epoch[064] Batch [3399]/[3759] Speed: 133.615298 samples/sec accuracy=72.264246 loss=1.073482 lr=0.002742 Epoch[064] Batch [3449]/[3759] Speed: 119.460245 samples/sec accuracy=72.245471 loss=1.074434 lr=0.002740 Epoch[064] Batch [3499]/[3759] Speed: 157.174211 samples/sec accuracy=72.244196 loss=1.074703 lr=0.002738 Epoch[064] Batch [3549]/[3759] Speed: 119.687459 samples/sec accuracy=72.205986 loss=1.075951 lr=0.002736 Epoch[064] Batch [3599]/[3759] Speed: 136.564500 samples/sec accuracy=72.202257 loss=1.076203 lr=0.002734 Epoch[064] Batch [3649]/[3759] Speed: 128.592882 samples/sec accuracy=72.190068 loss=1.076352 lr=0.002733 Epoch[064] Batch [3699]/[3759] Speed: 129.417638 samples/sec accuracy=72.163851 loss=1.077457 lr=0.002731 Epoch[064] Batch [3749]/[3759] Speed: 156.927110 samples/sec accuracy=72.143333 loss=1.078329 lr=0.002729 Batch [0049]/[0303]: acc-top1=60.125000 acc-top5=82.343750 Batch [0099]/[0303]: acc-top1=59.656250 acc-top5=82.250000 Batch [0149]/[0303]: acc-top1=60.114583 acc-top5=82.260417 Batch [0199]/[0303]: acc-top1=59.742188 acc-top5=82.164062 Batch [0249]/[0303]: acc-top1=59.618750 acc-top5=82.125000 Batch [0299]/[0303]: acc-top1=59.843750 acc-top5=82.328125 [Epoch 064] training: accuracy=72.148095 loss=1.078137 [Epoch 064] speed: 131 samples/sec time cost: 2018.679678 [Epoch 064] validation: acc-top1=59.859736 acc-top5=82.338078 loss=1.946039 Epoch[065] Batch [0049]/[3760] Speed: 95.387766 samples/sec accuracy=73.093750 loss=1.040874 lr=0.002727 Epoch[065] Batch [0099]/[3760] Speed: 134.256026 samples/sec accuracy=72.515625 loss=1.061685 lr=0.002725 Epoch[065] Batch [0149]/[3760] Speed: 128.183635 samples/sec accuracy=72.354167 loss=1.057678 lr=0.002723 Epoch[065] Batch [0199]/[3760] 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accuracy=72.843750 loss=1.050290 lr=0.002704 Epoch[065] Batch [0699]/[3760] Speed: 139.622781 samples/sec accuracy=72.881696 loss=1.050981 lr=0.002702 Epoch[065] Batch [0749]/[3760] Speed: 118.304910 samples/sec accuracy=72.879167 loss=1.051154 lr=0.002701 Epoch[065] Batch [0799]/[3760] Speed: 147.522199 samples/sec accuracy=72.919922 loss=1.049472 lr=0.002699 Epoch[065] Batch [0849]/[3760] Speed: 128.103859 samples/sec accuracy=72.858456 loss=1.051430 lr=0.002697 Epoch[065] Batch [0899]/[3760] Speed: 134.024669 samples/sec accuracy=72.869792 loss=1.051279 lr=0.002695 Epoch[065] Batch [0949]/[3760] Speed: 128.126979 samples/sec accuracy=72.949013 loss=1.048486 lr=0.002693 Epoch[065] Batch [0999]/[3760] Speed: 133.615987 samples/sec accuracy=72.990625 loss=1.047684 lr=0.002691 Epoch[065] Batch [1049]/[3760] Speed: 120.625068 samples/sec accuracy=73.011905 loss=1.047806 lr=0.002689 Epoch[065] Batch [1099]/[3760] Speed: 146.866098 samples/sec accuracy=73.002841 loss=1.047884 lr=0.002688 Epoch[065] Batch [1149]/[3760] Speed: 122.717771 samples/sec accuracy=73.016304 loss=1.047741 lr=0.002686 Epoch[065] Batch [1199]/[3760] Speed: 136.421174 samples/sec accuracy=73.020833 loss=1.048616 lr=0.002684 Epoch[065] Batch [1249]/[3760] Speed: 130.046091 samples/sec accuracy=72.998750 loss=1.049670 lr=0.002682 Epoch[065] Batch [1299]/[3760] Speed: 131.286964 samples/sec accuracy=72.979567 loss=1.050133 lr=0.002680 Epoch[065] Batch [1349]/[3760] Speed: 132.879702 samples/sec accuracy=72.927083 loss=1.051742 lr=0.002678 Epoch[065] Batch [1399]/[3760] Speed: 124.782270 samples/sec accuracy=72.875000 loss=1.053191 lr=0.002676 Epoch[065] Batch [1449]/[3760] Speed: 141.699356 samples/sec accuracy=72.849138 loss=1.054259 lr=0.002675 Epoch[065] Batch [1499]/[3760] Speed: 128.255688 samples/sec accuracy=72.838542 loss=1.055115 lr=0.002673 Epoch[065] Batch [1549]/[3760] Speed: 133.006127 samples/sec accuracy=72.851815 loss=1.055716 lr=0.002671 Epoch[065] Batch [1599]/[3760] Speed: 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loss=1.058151 lr=0.002652 Epoch[065] Batch [2099]/[3760] Speed: 139.544346 samples/sec accuracy=72.710565 loss=1.058778 lr=0.002651 Epoch[065] Batch [2149]/[3760] Speed: 121.960705 samples/sec accuracy=72.694767 loss=1.058979 lr=0.002649 Epoch[065] Batch [2199]/[3760] Speed: 135.233581 samples/sec accuracy=72.653409 loss=1.060268 lr=0.002647 Epoch[065] Batch [2249]/[3760] Speed: 137.083207 samples/sec accuracy=72.665278 loss=1.059969 lr=0.002645 Epoch[065] Batch [2299]/[3760] Speed: 129.525068 samples/sec accuracy=72.688859 loss=1.059774 lr=0.002643 Epoch[065] Batch [2349]/[3760] Speed: 124.785544 samples/sec accuracy=72.673537 loss=1.060651 lr=0.002641 Epoch[065] Batch [2399]/[3760] Speed: 138.402007 samples/sec accuracy=72.665365 loss=1.061250 lr=0.002640 Epoch[065] Batch [2449]/[3760] Speed: 138.068588 samples/sec accuracy=72.637755 loss=1.061993 lr=0.002638 Epoch[065] Batch [2499]/[3760] Speed: 127.884239 samples/sec accuracy=72.598125 loss=1.063441 lr=0.002636 Epoch[065] Batch 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accuracy=72.523438 loss=1.066013 lr=0.002618 Epoch[065] Batch [3049]/[3760] Speed: 144.497769 samples/sec accuracy=72.494877 loss=1.066809 lr=0.002616 Epoch[065] Batch [3099]/[3760] Speed: 127.162721 samples/sec accuracy=72.483367 loss=1.067239 lr=0.002614 Epoch[065] Batch [3149]/[3760] Speed: 127.698660 samples/sec accuracy=72.481647 loss=1.066815 lr=0.002612 Epoch[065] Batch [3199]/[3760] Speed: 132.153229 samples/sec accuracy=72.480469 loss=1.067170 lr=0.002610 Epoch[065] Batch [3249]/[3760] Speed: 123.922387 samples/sec accuracy=72.487981 loss=1.066949 lr=0.002608 Epoch[065] Batch [3299]/[3760] Speed: 145.469065 samples/sec accuracy=72.491477 loss=1.066789 lr=0.002606 Epoch[065] Batch [3349]/[3760] Speed: 122.354385 samples/sec accuracy=72.498134 loss=1.066833 lr=0.002605 Epoch[065] Batch [3399]/[3760] Speed: 142.862916 samples/sec accuracy=72.487592 loss=1.066901 lr=0.002603 Epoch[065] Batch [3449]/[3760] Speed: 123.686002 samples/sec accuracy=72.479620 loss=1.066870 lr=0.002601 Epoch[065] Batch [3499]/[3760] Speed: 141.633353 samples/sec accuracy=72.471429 loss=1.067649 lr=0.002599 Epoch[065] Batch [3549]/[3760] Speed: 131.998460 samples/sec accuracy=72.470951 loss=1.068055 lr=0.002597 Epoch[065] Batch [3599]/[3760] Speed: 122.708184 samples/sec accuracy=72.466580 loss=1.068476 lr=0.002595 Epoch[065] Batch [3649]/[3760] Speed: 141.698520 samples/sec accuracy=72.468322 loss=1.068163 lr=0.002594 Epoch[065] Batch [3699]/[3760] Speed: 121.865390 samples/sec accuracy=72.449324 loss=1.068525 lr=0.002592 Epoch[065] Batch [3749]/[3760] Speed: 159.975275 samples/sec accuracy=72.467917 loss=1.067851 lr=0.002590 Batch [0049]/[0303]: acc-top1=60.593750 acc-top5=81.906250 Batch [0099]/[0303]: acc-top1=59.796875 acc-top5=81.796875 Batch [0149]/[0303]: acc-top1=60.072917 acc-top5=81.958333 Batch [0199]/[0303]: acc-top1=60.023438 acc-top5=82.039062 Batch [0249]/[0303]: acc-top1=60.125000 acc-top5=82.075000 Batch [0299]/[0303]: acc-top1=60.432292 acc-top5=82.270833 [Epoch 065] training: accuracy=72.471326 loss=1.067862 [Epoch 065] speed: 131 samples/sec time cost: 2018.019577 [Epoch 065] validation: acc-top1=60.452764 acc-top5=82.271040 loss=1.957433 Epoch[066] Batch [0049]/[3759] Speed: 95.879043 samples/sec accuracy=73.718750 loss=1.023248 lr=0.002588 Epoch[066] Batch [0099]/[3759] Speed: 154.007946 samples/sec accuracy=74.437500 loss=1.011036 lr=0.002586 Epoch[066] Batch [0149]/[3759] Speed: 112.271840 samples/sec accuracy=74.375000 loss=0.998967 lr=0.002584 Epoch[066] Batch [0199]/[3759] Speed: 147.792767 samples/sec accuracy=73.960938 loss=1.007749 lr=0.002582 Epoch[066] Batch [0249]/[3759] Speed: 120.733277 samples/sec accuracy=73.956250 loss=1.013033 lr=0.002580 Epoch[066] Batch [0299]/[3759] Speed: 144.999557 samples/sec accuracy=73.651042 loss=1.020173 lr=0.002579 Epoch[066] Batch [0349]/[3759] Speed: 122.132801 samples/sec accuracy=73.584821 loss=1.028096 lr=0.002577 Epoch[066] Batch [0399]/[3759] Speed: 135.402911 samples/sec accuracy=73.644531 loss=1.026932 lr=0.002575 Epoch[066] Batch [0449]/[3759] Speed: 126.177179 samples/sec accuracy=73.631944 loss=1.027418 lr=0.002573 Epoch[066] Batch [0499]/[3759] Speed: 138.516821 samples/sec accuracy=73.503125 loss=1.031627 lr=0.002571 Epoch[066] Batch [0549]/[3759] Speed: 128.997758 samples/sec accuracy=73.519886 loss=1.027755 lr=0.002570 Epoch[066] Batch [0599]/[3759] Speed: 135.174727 samples/sec accuracy=73.539062 loss=1.028296 lr=0.002568 Epoch[066] Batch [0649]/[3759] Speed: 130.032800 samples/sec accuracy=73.519231 loss=1.027979 lr=0.002566 Epoch[066] Batch [0699]/[3759] Speed: 122.103959 samples/sec accuracy=73.555804 loss=1.025578 lr=0.002564 Epoch[066] Batch [0749]/[3759] Speed: 148.690164 samples/sec accuracy=73.545833 loss=1.024190 lr=0.002562 Epoch[066] Batch [0799]/[3759] Speed: 116.662360 samples/sec accuracy=73.564453 loss=1.024470 lr=0.002560 Epoch[066] Batch [0849]/[3759] Speed: 149.389101 samples/sec accuracy=73.518382 loss=1.024448 lr=0.002559 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accuracy=72.962500 loss=1.043499 lr=0.002490 Epoch[066] Batch [2799]/[3759] Speed: 138.897007 samples/sec accuracy=72.965960 loss=1.043465 lr=0.002488 Epoch[066] Batch [2849]/[3759] Speed: 119.990238 samples/sec accuracy=72.950658 loss=1.044058 lr=0.002486 Epoch[066] Batch [2899]/[3759] Speed: 146.886449 samples/sec accuracy=72.943966 loss=1.044545 lr=0.002484 Epoch[066] Batch [2949]/[3759] Speed: 128.400829 samples/sec accuracy=72.958157 loss=1.044210 lr=0.002482 Epoch[066] Batch [2999]/[3759] Speed: 129.413088 samples/sec accuracy=72.947917 loss=1.044905 lr=0.002481 Epoch[066] Batch [3049]/[3759] Speed: 133.504024 samples/sec accuracy=72.928791 loss=1.045634 lr=0.002479 Epoch[066] Batch [3099]/[3759] Speed: 132.109630 samples/sec accuracy=72.924899 loss=1.045783 lr=0.002477 Epoch[066] Batch [3149]/[3759] Speed: 137.658667 samples/sec accuracy=72.899802 loss=1.046635 lr=0.002475 Epoch[066] Batch [3199]/[3759] Speed: 124.285008 samples/sec accuracy=72.884766 loss=1.046701 lr=0.002473 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128.373370 samples/sec accuracy=72.871622 loss=1.047294 lr=0.002455 Epoch[066] Batch [3749]/[3759] Speed: 145.728078 samples/sec accuracy=72.878333 loss=1.046927 lr=0.002454 Batch [0049]/[0303]: acc-top1=60.312500 acc-top5=82.156250 Batch [0099]/[0303]: acc-top1=59.890625 acc-top5=81.750000 Batch [0149]/[0303]: acc-top1=60.312500 acc-top5=81.895833 Batch [0199]/[0303]: acc-top1=60.132812 acc-top5=82.117188 Batch [0249]/[0303]: acc-top1=60.318750 acc-top5=82.081250 Batch [0299]/[0303]: acc-top1=60.369792 acc-top5=82.213542 [Epoch 066] training: accuracy=72.875931 loss=1.047123 [Epoch 066] speed: 131 samples/sec time cost: 2016.813493 [Epoch 066] validation: acc-top1=60.344472 acc-top5=82.214315 loss=1.957640 Epoch[067] Batch [0049]/[3760] Speed: 94.157774 samples/sec accuracy=72.593750 loss=1.050739 lr=0.002451 Epoch[067] Batch [0099]/[3760] Speed: 154.415528 samples/sec accuracy=73.109375 loss=1.027254 lr=0.002450 Epoch[067] Batch [0149]/[3760] Speed: 115.640439 samples/sec accuracy=73.718750 loss=1.007504 lr=0.002448 Epoch[067] Batch [0199]/[3760] Speed: 152.119865 samples/sec accuracy=73.476562 loss=1.016966 lr=0.002446 Epoch[067] Batch [0249]/[3760] Speed: 116.447134 samples/sec accuracy=73.893750 loss=1.004986 lr=0.002444 Epoch[067] Batch [0299]/[3760] Speed: 143.402261 samples/sec accuracy=73.848958 loss=1.012882 lr=0.002442 Epoch[067] Batch [0349]/[3760] Speed: 116.789938 samples/sec accuracy=73.861607 loss=1.008405 lr=0.002441 Epoch[067] Batch [0399]/[3760] Speed: 145.341499 samples/sec accuracy=74.042969 loss=1.002164 lr=0.002439 Epoch[067] Batch [0449]/[3760] Speed: 133.023951 samples/sec accuracy=74.069444 loss=1.002126 lr=0.002437 Epoch[067] Batch [0499]/[3760] Speed: 129.826600 samples/sec accuracy=74.037500 loss=1.003005 lr=0.002435 Epoch[067] Batch [0549]/[3760] Speed: 128.024118 samples/sec accuracy=73.889205 loss=1.007595 lr=0.002433 Epoch[067] Batch [0599]/[3760] Speed: 130.527400 samples/sec accuracy=74.005208 loss=1.002390 lr=0.002432 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loss=1.020166 lr=0.002398 Epoch[067] Batch [1599]/[3760] Speed: 130.076339 samples/sec accuracy=73.528320 loss=1.020084 lr=0.002396 Epoch[067] Batch [1649]/[3760] Speed: 136.330671 samples/sec accuracy=73.561553 loss=1.019122 lr=0.002394 Epoch[067] Batch [1699]/[3760] Speed: 131.203348 samples/sec accuracy=73.541360 loss=1.019784 lr=0.002392 Epoch[067] Batch [1749]/[3760] Speed: 132.221230 samples/sec accuracy=73.494643 loss=1.021383 lr=0.002391 Epoch[067] Batch [1799]/[3760] Speed: 123.991861 samples/sec accuracy=73.493924 loss=1.021584 lr=0.002389 Epoch[067] Batch [1849]/[3760] Speed: 139.071320 samples/sec accuracy=73.483108 loss=1.022594 lr=0.002387 Epoch[067] Batch [1899]/[3760] Speed: 132.076588 samples/sec accuracy=73.469572 loss=1.023234 lr=0.002385 Epoch[067] Batch [1949]/[3760] Speed: 129.082312 samples/sec accuracy=73.455128 loss=1.023074 lr=0.002383 Epoch[067] Batch [1999]/[3760] Speed: 128.174503 samples/sec accuracy=73.444531 loss=1.023692 lr=0.002382 Epoch[067] Batch 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accuracy=73.353125 loss=1.026823 lr=0.002364 Epoch[067] Batch [2549]/[3760] Speed: 135.883503 samples/sec accuracy=73.342525 loss=1.027356 lr=0.002362 Epoch[067] Batch [2599]/[3760] Speed: 124.476118 samples/sec accuracy=73.349760 loss=1.027049 lr=0.002360 Epoch[067] Batch [2649]/[3760] Speed: 138.548971 samples/sec accuracy=73.331368 loss=1.027291 lr=0.002359 Epoch[067] Batch [2699]/[3760] Speed: 130.079014 samples/sec accuracy=73.317130 loss=1.027706 lr=0.002357 Epoch[067] Batch [2749]/[3760] Speed: 128.215165 samples/sec accuracy=73.316477 loss=1.027595 lr=0.002355 Epoch[067] Batch [2799]/[3760] Speed: 126.576613 samples/sec accuracy=73.314732 loss=1.027799 lr=0.002353 Epoch[067] Batch [2849]/[3760] Speed: 131.161807 samples/sec accuracy=73.303728 loss=1.028002 lr=0.002351 Epoch[067] Batch [2899]/[3760] Speed: 130.986593 samples/sec accuracy=73.287716 loss=1.028238 lr=0.002350 Epoch[067] Batch [2949]/[3760] Speed: 136.781141 samples/sec accuracy=73.279661 loss=1.028888 lr=0.002348 Epoch[067] Batch [2999]/[3760] Speed: 129.591954 samples/sec accuracy=73.276562 loss=1.029008 lr=0.002346 Epoch[067] Batch [3049]/[3760] Speed: 131.064802 samples/sec accuracy=73.268955 loss=1.029521 lr=0.002344 Epoch[067] Batch [3099]/[3760] Speed: 130.923417 samples/sec accuracy=73.270161 loss=1.029363 lr=0.002343 Epoch[067] Batch [3149]/[3760] Speed: 125.610496 samples/sec accuracy=73.256944 loss=1.030117 lr=0.002341 Epoch[067] Batch [3199]/[3760] Speed: 133.867006 samples/sec accuracy=73.239746 loss=1.030314 lr=0.002339 Epoch[067] Batch [3249]/[3760] Speed: 129.826740 samples/sec accuracy=73.200962 loss=1.031413 lr=0.002337 Epoch[067] Batch [3299]/[3760] Speed: 137.749197 samples/sec accuracy=73.209280 loss=1.031436 lr=0.002336 Epoch[067] Batch [3349]/[3760] Speed: 126.360868 samples/sec accuracy=73.208022 loss=1.031684 lr=0.002334 Epoch[067] Batch [3399]/[3760] Speed: 140.753150 samples/sec accuracy=73.228860 loss=1.031024 lr=0.002332 Epoch[067] Batch [3449]/[3760] Speed: 121.315790 samples/sec accuracy=73.231431 loss=1.031248 lr=0.002330 Epoch[067] Batch [3499]/[3760] Speed: 140.303066 samples/sec accuracy=73.229018 loss=1.031180 lr=0.002328 Epoch[067] Batch [3549]/[3760] Speed: 120.880403 samples/sec accuracy=73.213468 loss=1.031960 lr=0.002327 Epoch[067] Batch [3599]/[3760] Speed: 139.046536 samples/sec accuracy=73.200521 loss=1.032256 lr=0.002325 Epoch[067] Batch [3649]/[3760] Speed: 129.624179 samples/sec accuracy=73.207620 loss=1.031870 lr=0.002323 Epoch[067] Batch [3699]/[3760] Speed: 128.173544 samples/sec accuracy=73.192145 loss=1.032105 lr=0.002321 Epoch[067] Batch [3749]/[3760] Speed: 157.120759 samples/sec accuracy=73.195833 loss=1.031970 lr=0.002320 Batch [0049]/[0303]: acc-top1=60.156250 acc-top5=81.468750 Batch [0099]/[0303]: acc-top1=59.906250 acc-top5=81.625000 Batch [0149]/[0303]: acc-top1=60.406250 acc-top5=81.822917 Batch [0199]/[0303]: acc-top1=60.367188 acc-top5=81.921875 Batch [0249]/[0303]: acc-top1=60.487500 acc-top5=81.825000 Batch [0299]/[0303]: acc-top1=60.697917 acc-top5=81.994792 [Epoch 067] training: accuracy=73.197307 loss=1.031802 [Epoch 067] speed: 131 samples/sec time cost: 2019.856871 [Epoch 067] validation: acc-top1=60.679662 acc-top5=81.997731 loss=1.954836 Epoch[068] Batch [0049]/[3760] Speed: 94.450295 samples/sec accuracy=73.718750 loss=1.018118 lr=0.002318 Epoch[068] Batch [0099]/[3760] Speed: 155.653150 samples/sec accuracy=73.937500 loss=1.006607 lr=0.002316 Epoch[068] Batch [0149]/[3760] Speed: 108.996967 samples/sec accuracy=74.166667 loss=0.993321 lr=0.002314 Epoch[068] Batch [0199]/[3760] Speed: 151.539730 samples/sec accuracy=74.328125 loss=0.985744 lr=0.002312 Epoch[068] Batch [0249]/[3760] Speed: 116.679727 samples/sec accuracy=74.237500 loss=0.984751 lr=0.002310 Epoch[068] Batch [0299]/[3760] Speed: 138.671165 samples/sec accuracy=74.317708 loss=0.983859 lr=0.002309 Epoch[068] Batch [0349]/[3760] Speed: 131.804494 samples/sec accuracy=74.196429 loss=0.988662 lr=0.002307 Epoch[068] 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loss=1.008278 lr=0.002192 Epoch[068] Batch [3699]/[3760] Speed: 141.127095 samples/sec accuracy=73.809122 loss=1.007995 lr=0.002190 Epoch[068] Batch [3749]/[3760] Speed: 143.443828 samples/sec accuracy=73.809583 loss=1.008417 lr=0.002188 Batch [0049]/[0303]: acc-top1=60.500000 acc-top5=82.500000 Batch [0099]/[0303]: acc-top1=60.250000 acc-top5=82.328125 Batch [0149]/[0303]: acc-top1=60.729167 acc-top5=82.270833 Batch [0199]/[0303]: acc-top1=60.460938 acc-top5=82.445312 Batch [0249]/[0303]: acc-top1=60.606250 acc-top5=82.393750 Batch [0299]/[0303]: acc-top1=60.734375 acc-top5=82.557292 [Epoch 068] training: accuracy=73.805269 loss=1.008472 [Epoch 068] speed: 131 samples/sec time cost: 2018.372248 [Epoch 068] validation: acc-top1=60.715759 acc-top5=82.580446 loss=1.943057 Epoch[069] Batch [0049]/[3759] Speed: 96.038589 samples/sec accuracy=74.781250 loss=0.954507 lr=0.002186 Epoch[069] Batch [0099]/[3759] Speed: 148.382552 samples/sec accuracy=74.343750 loss=0.973484 lr=0.002185 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loss=0.971199 lr=0.002152 Epoch[069] Batch [1099]/[3759] Speed: 119.719663 samples/sec accuracy=74.806818 loss=0.971977 lr=0.002150 Epoch[069] Batch [1149]/[3759] Speed: 154.984236 samples/sec accuracy=74.745924 loss=0.974737 lr=0.002148 Epoch[069] Batch [1199]/[3759] Speed: 118.476300 samples/sec accuracy=74.739583 loss=0.974094 lr=0.002147 Epoch[069] Batch [1249]/[3759] Speed: 135.126301 samples/sec accuracy=74.672500 loss=0.977022 lr=0.002145 Epoch[069] Batch [1299]/[3759] Speed: 131.455295 samples/sec accuracy=74.681490 loss=0.976600 lr=0.002143 Epoch[069] Batch [1349]/[3759] Speed: 127.169655 samples/sec accuracy=74.662037 loss=0.977293 lr=0.002142 Epoch[069] Batch [1399]/[3759] Speed: 133.124449 samples/sec accuracy=74.633929 loss=0.978157 lr=0.002140 Epoch[069] Batch [1449]/[3759] Speed: 131.155660 samples/sec accuracy=74.630388 loss=0.977728 lr=0.002138 Epoch[069] Batch [1499]/[3759] Speed: 136.347045 samples/sec accuracy=74.570833 loss=0.979350 lr=0.002136 Epoch[069] Batch 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accuracy=74.463281 loss=0.982380 lr=0.002119 Epoch[069] Batch [2049]/[3759] Speed: 111.952327 samples/sec accuracy=74.465701 loss=0.982658 lr=0.002118 Epoch[069] Batch [2099]/[3759] Speed: 148.455503 samples/sec accuracy=74.461310 loss=0.983239 lr=0.002116 Epoch[069] Batch [2149]/[3759] Speed: 123.155869 samples/sec accuracy=74.441860 loss=0.983596 lr=0.002114 Epoch[069] Batch [2199]/[3759] Speed: 130.222634 samples/sec accuracy=74.462358 loss=0.983102 lr=0.002112 Epoch[069] Batch [2249]/[3759] Speed: 128.994247 samples/sec accuracy=74.449306 loss=0.983732 lr=0.002111 Epoch[069] Batch [2299]/[3759] Speed: 131.195728 samples/sec accuracy=74.429348 loss=0.984329 lr=0.002109 Epoch[069] Batch [2349]/[3759] Speed: 136.894205 samples/sec accuracy=74.404255 loss=0.985361 lr=0.002107 Epoch[069] Batch [2399]/[3759] Speed: 123.081466 samples/sec accuracy=74.402995 loss=0.985516 lr=0.002106 Epoch[069] Batch [2449]/[3759] Speed: 136.636616 samples/sec accuracy=74.369898 loss=0.986164 lr=0.002104 Epoch[069] Batch [2499]/[3759] Speed: 134.866899 samples/sec accuracy=74.361875 loss=0.986740 lr=0.002102 Epoch[069] Batch [2549]/[3759] Speed: 128.797860 samples/sec accuracy=74.339461 loss=0.987829 lr=0.002101 Epoch[069] Batch [2599]/[3759] Speed: 130.631630 samples/sec accuracy=74.347957 loss=0.987863 lr=0.002099 Epoch[069] Batch [2649]/[3759] Speed: 137.923424 samples/sec accuracy=74.328420 loss=0.988550 lr=0.002097 Epoch[069] Batch [2699]/[3759] Speed: 123.220301 samples/sec accuracy=74.311921 loss=0.989384 lr=0.002095 Epoch[069] Batch [2749]/[3759] Speed: 144.679537 samples/sec accuracy=74.305682 loss=0.990201 lr=0.002094 Epoch[069] Batch [2799]/[3759] Speed: 121.345936 samples/sec accuracy=74.299107 loss=0.990292 lr=0.002092 Epoch[069] Batch [2849]/[3759] Speed: 145.733477 samples/sec accuracy=74.286184 loss=0.990312 lr=0.002090 Epoch[069] Batch [2899]/[3759] Speed: 115.044725 samples/sec accuracy=74.289332 loss=0.989905 lr=0.002089 Epoch[069] Batch [2949]/[3759] Speed: 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loss=0.990157 lr=0.002072 Epoch[069] Batch [3449]/[3759] Speed: 119.838525 samples/sec accuracy=74.295743 loss=0.990405 lr=0.002070 Epoch[069] Batch [3499]/[3759] Speed: 139.589271 samples/sec accuracy=74.296875 loss=0.990719 lr=0.002068 Epoch[069] Batch [3549]/[3759] Speed: 127.380012 samples/sec accuracy=74.316021 loss=0.990593 lr=0.002067 Epoch[069] Batch [3599]/[3759] Speed: 129.830083 samples/sec accuracy=74.319878 loss=0.990922 lr=0.002065 Epoch[069] Batch [3649]/[3759] Speed: 142.244037 samples/sec accuracy=74.289384 loss=0.991619 lr=0.002063 Epoch[069] Batch [3699]/[3759] Speed: 122.894982 samples/sec accuracy=74.274916 loss=0.991677 lr=0.002062 Epoch[069] Batch [3749]/[3759] Speed: 157.164418 samples/sec accuracy=74.252917 loss=0.992136 lr=0.002060 Batch [0049]/[0303]: acc-top1=60.031250 acc-top5=83.093750 Batch [0099]/[0303]: acc-top1=59.718750 acc-top5=82.421875 Batch [0149]/[0303]: acc-top1=60.208333 acc-top5=82.291667 Batch [0199]/[0303]: acc-top1=59.937500 acc-top5=82.273438 Batch [0249]/[0303]: acc-top1=59.918750 acc-top5=82.206250 Batch [0299]/[0303]: acc-top1=60.057292 acc-top5=82.312500 [Epoch 069] training: accuracy=74.244729 loss=0.992373 [Epoch 069] speed: 131 samples/sec time cost: 2017.038288 [Epoch 069] validation: acc-top1=60.076320 acc-top5=82.327764 loss=1.961408 Epoch[070] Batch [0049]/[3760] Speed: 96.577491 samples/sec accuracy=75.906250 loss=0.927673 lr=0.002058 Epoch[070] Batch [0099]/[3760] Speed: 149.232043 samples/sec accuracy=75.296875 loss=0.940273 lr=0.002056 Epoch[070] Batch [0149]/[3760] Speed: 115.247782 samples/sec accuracy=75.333333 loss=0.936006 lr=0.002054 Epoch[070] Batch [0199]/[3760] Speed: 150.322039 samples/sec accuracy=75.148438 loss=0.943099 lr=0.002053 Epoch[070] Batch [0249]/[3760] Speed: 116.033046 samples/sec accuracy=75.143750 loss=0.941438 lr=0.002051 Epoch[070] Batch [0299]/[3760] Speed: 145.077004 samples/sec accuracy=75.197917 loss=0.940319 lr=0.002049 Epoch[070] Batch [0349]/[3760] Speed: 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loss=0.954544 lr=0.001839 Epoch[071] Batch [2949]/[3760] Speed: 124.002431 samples/sec accuracy=75.102754 loss=0.954923 lr=0.001837 Epoch[071] Batch [2999]/[3760] Speed: 137.149646 samples/sec accuracy=75.098438 loss=0.955289 lr=0.001836 Epoch[071] Batch [3049]/[3760] Speed: 128.377872 samples/sec accuracy=75.082480 loss=0.955873 lr=0.001834 Epoch[071] Batch [3099]/[3760] Speed: 132.267399 samples/sec accuracy=75.077621 loss=0.955808 lr=0.001833 Epoch[071] Batch [3149]/[3760] Speed: 131.294868 samples/sec accuracy=75.101190 loss=0.955143 lr=0.001831 Epoch[071] Batch [3199]/[3760] Speed: 136.750169 samples/sec accuracy=75.082520 loss=0.955400 lr=0.001829 Epoch[071] Batch [3249]/[3760] Speed: 122.494019 samples/sec accuracy=75.063462 loss=0.956280 lr=0.001828 Epoch[071] Batch [3299]/[3760] Speed: 144.252441 samples/sec accuracy=75.052083 loss=0.956213 lr=0.001826 Epoch[071] Batch [3349]/[3760] Speed: 123.151848 samples/sec accuracy=75.041978 loss=0.956332 lr=0.001825 Epoch[071] Batch [3399]/[3760] Speed: 139.364711 samples/sec accuracy=75.029412 loss=0.957200 lr=0.001823 Epoch[071] Batch [3449]/[3760] Speed: 121.904959 samples/sec accuracy=75.032156 loss=0.957200 lr=0.001821 Epoch[071] Batch [3499]/[3760] Speed: 135.334053 samples/sec accuracy=75.037054 loss=0.957148 lr=0.001820 Epoch[071] Batch [3549]/[3760] Speed: 128.315906 samples/sec accuracy=75.036972 loss=0.957180 lr=0.001818 Epoch[071] Batch [3599]/[3760] Speed: 133.092294 samples/sec accuracy=75.031684 loss=0.957776 lr=0.001816 Epoch[071] Batch [3649]/[3760] Speed: 130.908052 samples/sec accuracy=75.023545 loss=0.957981 lr=0.001815 Epoch[071] Batch [3699]/[3760] Speed: 135.672431 samples/sec accuracy=75.025338 loss=0.958090 lr=0.001813 Epoch[071] Batch [3749]/[3760] Speed: 151.498478 samples/sec accuracy=74.994583 loss=0.959300 lr=0.001812 Batch [0049]/[0303]: acc-top1=61.531250 acc-top5=82.750000 Batch [0099]/[0303]: acc-top1=60.562500 acc-top5=82.687500 Batch [0149]/[0303]: acc-top1=60.635417 acc-top5=82.687500 Batch [0199]/[0303]: acc-top1=60.484375 acc-top5=82.828125 Batch [0249]/[0303]: acc-top1=60.387500 acc-top5=82.668750 Batch [0299]/[0303]: acc-top1=60.494792 acc-top5=82.770833 [Epoch 071] training: accuracy=74.997091 loss=0.959192 [Epoch 071] speed: 131 samples/sec time cost: 2017.394340 [Epoch 071] validation: acc-top1=60.499175 acc-top5=82.760932 loss=1.944691 Epoch[072] Batch [0049]/[3759] Speed: 98.077563 samples/sec accuracy=76.937500 loss=0.920941 lr=0.001810 Epoch[072] Batch [0099]/[3759] Speed: 147.635088 samples/sec accuracy=76.578125 loss=0.916661 lr=0.001808 Epoch[072] Batch [0149]/[3759] Speed: 115.622119 samples/sec accuracy=76.312500 loss=0.920400 lr=0.001807 Epoch[072] Batch [0199]/[3759] Speed: 146.584776 samples/sec accuracy=75.898438 loss=0.929406 lr=0.001805 Epoch[072] Batch [0249]/[3759] Speed: 118.455789 samples/sec accuracy=76.062500 loss=0.924862 lr=0.001803 Epoch[072] Batch [0299]/[3759] Speed: 142.460456 samples/sec accuracy=75.937500 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accuracy=75.467014 loss=0.941627 lr=0.001697 Epoch[072] Batch [3649]/[3759] Speed: 128.920073 samples/sec accuracy=75.470462 loss=0.941599 lr=0.001695 Epoch[072] Batch [3699]/[3759] Speed: 140.257520 samples/sec accuracy=75.461993 loss=0.942009 lr=0.001694 Epoch[072] Batch [3749]/[3759] Speed: 142.375400 samples/sec accuracy=75.459167 loss=0.941910 lr=0.001692 Batch [0049]/[0303]: acc-top1=61.625000 acc-top5=82.531250 Batch [0099]/[0303]: acc-top1=60.781250 acc-top5=82.406250 Batch [0149]/[0303]: acc-top1=60.947917 acc-top5=82.510417 Batch [0199]/[0303]: acc-top1=60.656250 acc-top5=82.640625 Batch [0249]/[0303]: acc-top1=60.612500 acc-top5=82.631250 Batch [0299]/[0303]: acc-top1=60.828125 acc-top5=82.776042 [Epoch 072] training: accuracy=75.461393 loss=0.941730 [Epoch 072] speed: 131 samples/sec time cost: 2015.955769 [Epoch 072] validation: acc-top1=60.834365 acc-top5=82.776403 loss=1.945516 Epoch[073] Batch [0049]/[3760] Speed: 93.075981 samples/sec accuracy=75.781250 loss=0.920617 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accuracy=76.318750 loss=0.905401 lr=0.001661 Epoch[073] Batch [1049]/[3760] Speed: 129.559328 samples/sec accuracy=76.238095 loss=0.908015 lr=0.001659 Epoch[073] Batch [1099]/[3760] Speed: 136.317676 samples/sec accuracy=76.268466 loss=0.907335 lr=0.001658 Epoch[073] Batch [1149]/[3760] Speed: 125.115126 samples/sec accuracy=76.289402 loss=0.907522 lr=0.001656 Epoch[073] Batch [1199]/[3760] Speed: 145.846457 samples/sec accuracy=76.250000 loss=0.908699 lr=0.001655 Epoch[073] Batch [1249]/[3760] Speed: 123.343509 samples/sec accuracy=76.231250 loss=0.909335 lr=0.001653 Epoch[073] Batch [1299]/[3760] Speed: 135.614617 samples/sec accuracy=76.239183 loss=0.909197 lr=0.001651 Epoch[073] Batch [1349]/[3760] Speed: 119.682926 samples/sec accuracy=76.250000 loss=0.909046 lr=0.001650 Epoch[073] Batch [1399]/[3760] Speed: 146.139723 samples/sec accuracy=76.253348 loss=0.909504 lr=0.001648 Epoch[073] Batch [1449]/[3760] Speed: 121.111614 samples/sec accuracy=76.281250 loss=0.908474 lr=0.001647 Epoch[073] Batch [1499]/[3760] Speed: 134.386468 samples/sec accuracy=76.244792 loss=0.909366 lr=0.001645 Epoch[073] Batch [1549]/[3760] Speed: 126.416470 samples/sec accuracy=76.238911 loss=0.909655 lr=0.001644 Epoch[073] Batch [1599]/[3760] Speed: 138.029011 samples/sec accuracy=76.213867 loss=0.910241 lr=0.001642 Epoch[073] Batch [1649]/[3760] Speed: 127.028146 samples/sec accuracy=76.174242 loss=0.911426 lr=0.001641 Epoch[073] Batch [1699]/[3760] Speed: 129.737938 samples/sec accuracy=76.134191 loss=0.912150 lr=0.001639 Epoch[073] Batch [1749]/[3760] Speed: 135.323043 samples/sec accuracy=76.131250 loss=0.912542 lr=0.001637 Epoch[073] Batch [1799]/[3760] Speed: 128.109697 samples/sec accuracy=76.156250 loss=0.912478 lr=0.001636 Epoch[073] Batch [1849]/[3760] Speed: 133.114102 samples/sec accuracy=76.164696 loss=0.912631 lr=0.001634 Epoch[073] Batch [1899]/[3760] Speed: 132.721248 samples/sec accuracy=76.173520 loss=0.913224 lr=0.001633 Epoch[073] Batch [1949]/[3760] Speed: 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loss=0.912159 lr=0.001617 Epoch[073] Batch [2449]/[3760] Speed: 130.355444 samples/sec accuracy=76.204082 loss=0.912397 lr=0.001616 Epoch[073] Batch [2499]/[3760] Speed: 148.700738 samples/sec accuracy=76.192500 loss=0.912929 lr=0.001614 Epoch[073] Batch [2549]/[3760] Speed: 120.257897 samples/sec accuracy=76.182598 loss=0.912910 lr=0.001613 Epoch[073] Batch [2599]/[3760] Speed: 143.010372 samples/sec accuracy=76.183293 loss=0.912731 lr=0.001611 Epoch[073] Batch [2649]/[3760] Speed: 136.405875 samples/sec accuracy=76.176887 loss=0.912847 lr=0.001610 Epoch[073] Batch [2699]/[3760] Speed: 123.701580 samples/sec accuracy=76.156829 loss=0.912775 lr=0.001608 Epoch[073] Batch [2749]/[3760] Speed: 134.118183 samples/sec accuracy=76.167045 loss=0.912510 lr=0.001607 Epoch[073] Batch [2799]/[3760] Speed: 122.571693 samples/sec accuracy=76.141741 loss=0.912864 lr=0.001605 Epoch[073] Batch [2849]/[3760] Speed: 146.622113 samples/sec accuracy=76.152961 loss=0.912773 lr=0.001604 Epoch[073] Batch 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accuracy=76.017257 loss=0.916546 lr=0.001588 Epoch[073] Batch [3399]/[3760] Speed: 130.457989 samples/sec accuracy=75.991728 loss=0.917764 lr=0.001587 Epoch[073] Batch [3449]/[3760] Speed: 134.750998 samples/sec accuracy=75.971920 loss=0.918310 lr=0.001585 Epoch[073] Batch [3499]/[3760] Speed: 125.863072 samples/sec accuracy=75.948214 loss=0.919286 lr=0.001584 Epoch[073] Batch [3549]/[3760] Speed: 137.030974 samples/sec accuracy=75.957306 loss=0.919074 lr=0.001582 Epoch[073] Batch [3599]/[3760] Speed: 128.495871 samples/sec accuracy=75.961806 loss=0.919000 lr=0.001581 Epoch[073] Batch [3649]/[3760] Speed: 130.796152 samples/sec accuracy=75.950771 loss=0.919280 lr=0.001579 Epoch[073] Batch [3699]/[3760] Speed: 132.432145 samples/sec accuracy=75.957770 loss=0.919499 lr=0.001578 Epoch[073] Batch [3749]/[3760] Speed: 155.679612 samples/sec accuracy=75.942917 loss=0.919956 lr=0.001576 Batch [0049]/[0303]: acc-top1=61.218750 acc-top5=82.468750 Batch [0099]/[0303]: acc-top1=60.859375 acc-top5=82.390625 Batch [0149]/[0303]: acc-top1=61.135417 acc-top5=82.479167 Batch [0199]/[0303]: acc-top1=60.734375 acc-top5=82.531250 Batch [0249]/[0303]: acc-top1=60.706250 acc-top5=82.468750 Batch [0299]/[0303]: acc-top1=60.807292 acc-top5=82.567708 [Epoch 073] training: accuracy=75.932513 loss=0.920244 [Epoch 073] speed: 131 samples/sec time cost: 2016.324511 [Epoch 073] validation: acc-top1=60.824051 acc-top5=82.554662 loss=1.934280 Epoch[074] Batch [0049]/[3760] Speed: 93.477757 samples/sec accuracy=75.843750 loss=0.914479 lr=0.001574 Epoch[074] Batch [0099]/[3760] Speed: 137.380860 samples/sec accuracy=76.500000 loss=0.886670 lr=0.001573 Epoch[074] Batch [0149]/[3760] Speed: 130.653044 samples/sec accuracy=76.427083 loss=0.888094 lr=0.001571 Epoch[074] Batch [0199]/[3760] Speed: 142.769141 samples/sec accuracy=76.289062 loss=0.893892 lr=0.001570 Epoch[074] Batch [0249]/[3760] Speed: 118.496756 samples/sec accuracy=76.600000 loss=0.891293 lr=0.001568 Epoch[074] Batch 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accuracy=76.562500 loss=0.895528 lr=0.001553 Epoch[074] Batch [0799]/[3760] Speed: 134.749318 samples/sec accuracy=76.605469 loss=0.894616 lr=0.001551 Epoch[074] Batch [0849]/[3760] Speed: 128.524196 samples/sec accuracy=76.652574 loss=0.893998 lr=0.001550 Epoch[074] Batch [0899]/[3760] Speed: 137.303340 samples/sec accuracy=76.614583 loss=0.895092 lr=0.001548 Epoch[074] Batch [0949]/[3760] Speed: 131.106819 samples/sec accuracy=76.631579 loss=0.893521 lr=0.001547 Epoch[074] Batch [0999]/[3760] Speed: 127.764643 samples/sec accuracy=76.592187 loss=0.895714 lr=0.001545 Epoch[074] Batch [1049]/[3760] Speed: 138.274620 samples/sec accuracy=76.589286 loss=0.897059 lr=0.001544 Epoch[074] Batch [1099]/[3760] Speed: 126.500882 samples/sec accuracy=76.615057 loss=0.897483 lr=0.001542 Epoch[074] Batch [1149]/[3760] Speed: 129.249688 samples/sec accuracy=76.618207 loss=0.897043 lr=0.001541 Epoch[074] Batch [1199]/[3760] Speed: 130.167908 samples/sec accuracy=76.587240 loss=0.897923 lr=0.001539 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accuracy=76.268145 loss=0.907909 lr=0.001483 Epoch[074] Batch [3149]/[3760] Speed: 127.938362 samples/sec accuracy=76.296627 loss=0.906973 lr=0.001481 Epoch[074] Batch [3199]/[3760] Speed: 132.572824 samples/sec accuracy=76.289551 loss=0.907142 lr=0.001480 Epoch[074] Batch [3249]/[3760] Speed: 126.596333 samples/sec accuracy=76.295192 loss=0.906964 lr=0.001478 Epoch[074] Batch [3299]/[3760] Speed: 138.301249 samples/sec accuracy=76.297822 loss=0.906861 lr=0.001477 Epoch[074] Batch [3349]/[3760] Speed: 118.322031 samples/sec accuracy=76.286381 loss=0.907396 lr=0.001475 Epoch[074] Batch [3399]/[3760] Speed: 147.767981 samples/sec accuracy=76.273897 loss=0.907569 lr=0.001474 Epoch[074] Batch [3449]/[3760] Speed: 118.129311 samples/sec accuracy=76.268116 loss=0.907690 lr=0.001472 Epoch[074] Batch [3499]/[3760] Speed: 147.790380 samples/sec accuracy=76.259375 loss=0.907543 lr=0.001471 Epoch[074] Batch [3549]/[3760] Speed: 124.253573 samples/sec accuracy=76.252201 loss=0.907722 lr=0.001469 Epoch[074] Batch [3599]/[3760] Speed: 131.829677 samples/sec accuracy=76.263889 loss=0.907277 lr=0.001468 Epoch[074] Batch [3649]/[3760] Speed: 141.175661 samples/sec accuracy=76.260274 loss=0.907452 lr=0.001466 Epoch[074] Batch [3699]/[3760] Speed: 125.491774 samples/sec accuracy=76.273226 loss=0.906966 lr=0.001465 Epoch[074] Batch [3749]/[3760] Speed: 147.596254 samples/sec accuracy=76.260417 loss=0.907334 lr=0.001463 Batch [0049]/[0303]: acc-top1=61.531250 acc-top5=83.406250 Batch [0099]/[0303]: acc-top1=61.062500 acc-top5=82.921875 Batch [0149]/[0303]: acc-top1=61.354167 acc-top5=82.864583 Batch [0199]/[0303]: acc-top1=61.015625 acc-top5=82.828125 Batch [0249]/[0303]: acc-top1=61.025000 acc-top5=82.700000 Batch [0299]/[0303]: acc-top1=61.130208 acc-top5=82.880208 [Epoch 074] training: accuracy=76.259558 loss=0.907451 [Epoch 074] speed: 131 samples/sec time cost: 2017.745528 [Epoch 074] validation: acc-top1=61.133457 acc-top5=82.879538 loss=1.919040 Epoch[075] Batch [0049]/[3759] Speed: 95.221144 samples/sec accuracy=76.625000 loss=0.867853 lr=0.001462 Epoch[075] Batch [0099]/[3759] Speed: 130.626996 samples/sec accuracy=76.953125 loss=0.867189 lr=0.001460 Epoch[075] Batch [0149]/[3759] Speed: 130.670654 samples/sec accuracy=77.062500 loss=0.863572 lr=0.001459 Epoch[075] Batch [0199]/[3759] Speed: 150.469180 samples/sec accuracy=76.960938 loss=0.877169 lr=0.001457 Epoch[075] Batch [0249]/[3759] Speed: 117.953990 samples/sec accuracy=76.631250 loss=0.884613 lr=0.001456 Epoch[075] Batch [0299]/[3759] Speed: 141.699865 samples/sec accuracy=76.744792 loss=0.880876 lr=0.001454 Epoch[075] Batch [0349]/[3759] Speed: 123.483717 samples/sec accuracy=76.821429 loss=0.878123 lr=0.001453 Epoch[075] Batch [0399]/[3759] Speed: 128.231707 samples/sec accuracy=76.781250 loss=0.878045 lr=0.001451 Epoch[075] Batch [0449]/[3759] Speed: 126.243666 samples/sec accuracy=76.701389 loss=0.882201 lr=0.001450 Epoch[075] Batch [0499]/[3759] Speed: 158.065694 samples/sec accuracy=76.903125 loss=0.879073 lr=0.001448 Epoch[075] Batch [0549]/[3759] Speed: 111.374044 samples/sec accuracy=76.889205 loss=0.882036 lr=0.001447 Epoch[075] Batch [0599]/[3759] Speed: 153.218857 samples/sec accuracy=76.984375 loss=0.877605 lr=0.001445 Epoch[075] Batch [0649]/[3759] Speed: 126.637311 samples/sec accuracy=77.141827 loss=0.874157 lr=0.001444 Epoch[075] Batch [0699]/[3759] Speed: 133.079577 samples/sec accuracy=77.087054 loss=0.877323 lr=0.001442 Epoch[075] Batch [0749]/[3759] Speed: 126.256627 samples/sec accuracy=77.122917 loss=0.874378 lr=0.001441 Epoch[075] Batch [0799]/[3759] Speed: 132.537135 samples/sec accuracy=77.076172 loss=0.876988 lr=0.001439 Epoch[075] Batch [0849]/[3759] Speed: 125.499343 samples/sec accuracy=77.012868 loss=0.878834 lr=0.001438 Epoch[075] Batch [0899]/[3759] Speed: 142.795721 samples/sec accuracy=76.932292 loss=0.882488 lr=0.001437 Epoch[075] Batch [0949]/[3759] Speed: 129.613285 samples/sec accuracy=76.914474 loss=0.884008 lr=0.001435 Epoch[075] Batch [0999]/[3759] Speed: 126.501072 samples/sec accuracy=76.942188 loss=0.883943 lr=0.001434 Epoch[075] Batch [1049]/[3759] Speed: 141.184976 samples/sec accuracy=76.840774 loss=0.885693 lr=0.001432 Epoch[075] Batch [1099]/[3759] Speed: 125.763595 samples/sec accuracy=76.846591 loss=0.885838 lr=0.001431 Epoch[075] Batch [1149]/[3759] Speed: 138.763660 samples/sec accuracy=76.877717 loss=0.884653 lr=0.001429 Epoch[075] Batch [1199]/[3759] Speed: 122.287051 samples/sec accuracy=76.885417 loss=0.884855 lr=0.001428 Epoch[075] Batch [1249]/[3759] Speed: 137.976200 samples/sec accuracy=76.820000 loss=0.886041 lr=0.001426 Epoch[075] Batch [1299]/[3759] Speed: 129.265807 samples/sec accuracy=76.777644 loss=0.887593 lr=0.001425 Epoch[075] Batch [1349]/[3759] Speed: 130.650697 samples/sec accuracy=76.784722 loss=0.887633 lr=0.001423 Epoch[075] Batch [1399]/[3759] Speed: 137.116236 samples/sec accuracy=76.784598 loss=0.888049 lr=0.001422 Epoch[075] Batch [1449]/[3759] Speed: 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loss=0.890898 lr=0.001407 Epoch[075] Batch [1949]/[3759] Speed: 137.521285 samples/sec accuracy=76.734776 loss=0.890808 lr=0.001406 Epoch[075] Batch [1999]/[3759] Speed: 125.808007 samples/sec accuracy=76.724219 loss=0.890844 lr=0.001404 Epoch[075] Batch [2049]/[3759] Speed: 135.125912 samples/sec accuracy=76.730945 loss=0.890908 lr=0.001403 Epoch[075] Batch [2099]/[3759] Speed: 124.257677 samples/sec accuracy=76.729167 loss=0.890768 lr=0.001402 Epoch[075] Batch [2149]/[3759] Speed: 143.015042 samples/sec accuracy=76.726017 loss=0.891070 lr=0.001400 Epoch[075] Batch [2199]/[3759] Speed: 117.696314 samples/sec accuracy=76.744318 loss=0.890603 lr=0.001399 Epoch[075] Batch [2249]/[3759] Speed: 145.664366 samples/sec accuracy=76.745833 loss=0.890675 lr=0.001397 Epoch[075] Batch [2299]/[3759] Speed: 120.654708 samples/sec accuracy=76.747962 loss=0.891011 lr=0.001396 Epoch[075] Batch [2349]/[3759] Speed: 147.216463 samples/sec accuracy=76.757314 loss=0.890332 lr=0.001394 Epoch[075] Batch 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accuracy=76.635417 loss=0.893433 lr=0.001380 Epoch[075] Batch [2899]/[3759] Speed: 146.012453 samples/sec accuracy=76.621228 loss=0.893665 lr=0.001378 Epoch[075] Batch [2949]/[3759] Speed: 125.517695 samples/sec accuracy=76.632415 loss=0.893125 lr=0.001377 Epoch[075] Batch [2999]/[3759] Speed: 138.288364 samples/sec accuracy=76.645312 loss=0.892690 lr=0.001376 Epoch[075] Batch [3049]/[3759] Speed: 127.225572 samples/sec accuracy=76.652664 loss=0.892638 lr=0.001374 Epoch[075] Batch [3099]/[3759] Speed: 134.341407 samples/sec accuracy=76.658266 loss=0.892462 lr=0.001373 Epoch[075] Batch [3149]/[3759] Speed: 128.133087 samples/sec accuracy=76.663690 loss=0.892441 lr=0.001371 Epoch[075] Batch [3199]/[3759] Speed: 129.449719 samples/sec accuracy=76.653809 loss=0.892590 lr=0.001370 Epoch[075] Batch [3249]/[3759] Speed: 136.568417 samples/sec accuracy=76.660096 loss=0.892687 lr=0.001368 Epoch[075] Batch [3299]/[3759] Speed: 126.701151 samples/sec accuracy=76.679451 loss=0.892124 lr=0.001367 Epoch[075] Batch [3349]/[3759] Speed: 134.792166 samples/sec accuracy=76.707090 loss=0.891505 lr=0.001365 Epoch[075] Batch [3399]/[3759] Speed: 136.820932 samples/sec accuracy=76.694853 loss=0.891869 lr=0.001364 Epoch[075] Batch [3449]/[3759] Speed: 132.324266 samples/sec accuracy=76.691576 loss=0.892341 lr=0.001363 Epoch[075] Batch [3499]/[3759] Speed: 129.946325 samples/sec accuracy=76.675000 loss=0.892632 lr=0.001361 Epoch[075] Batch [3549]/[3759] Speed: 133.713155 samples/sec accuracy=76.678697 loss=0.892448 lr=0.001360 Epoch[075] Batch [3599]/[3759] Speed: 126.250730 samples/sec accuracy=76.677517 loss=0.892187 lr=0.001358 Epoch[075] Batch [3649]/[3759] Speed: 139.428738 samples/sec accuracy=76.683219 loss=0.892040 lr=0.001357 Epoch[075] Batch [3699]/[3759] Speed: 121.354374 samples/sec accuracy=76.683277 loss=0.892171 lr=0.001355 Epoch[075] Batch [3749]/[3759] Speed: 166.874226 samples/sec accuracy=76.683333 loss=0.891891 lr=0.001354 Batch [0049]/[0303]: acc-top1=61.250000 acc-top5=82.531250 Batch [0099]/[0303]: acc-top1=60.875000 acc-top5=82.375000 Batch [0149]/[0303]: acc-top1=61.395833 acc-top5=82.604167 Batch [0199]/[0303]: acc-top1=61.203125 acc-top5=82.750000 Batch [0249]/[0303]: acc-top1=61.187500 acc-top5=82.731250 Batch [0299]/[0303]: acc-top1=61.317708 acc-top5=82.875000 [Epoch 075] training: accuracy=76.687616 loss=0.891856 [Epoch 075] speed: 131 samples/sec time cost: 2016.328452 [Epoch 075] validation: acc-top1=61.334571 acc-top5=82.884695 loss=1.934762 Epoch[076] Batch [0049]/[3760] Speed: 96.760652 samples/sec accuracy=76.625000 loss=0.880414 lr=0.001352 Epoch[076] Batch [0099]/[3760] Speed: 119.198429 samples/sec accuracy=77.640625 loss=0.857691 lr=0.001351 Epoch[076] Batch [0149]/[3760] Speed: 147.150405 samples/sec accuracy=77.750000 loss=0.855232 lr=0.001349 Epoch[076] Batch [0199]/[3760] Speed: 148.883198 samples/sec accuracy=77.875000 loss=0.852867 lr=0.001348 Epoch[076] Batch [0249]/[3760] Speed: 116.856292 samples/sec accuracy=77.600000 loss=0.863129 lr=0.001347 Epoch[076] Batch [0299]/[3760] Speed: 142.597780 samples/sec accuracy=77.619792 loss=0.862709 lr=0.001345 Epoch[076] Batch [0349]/[3760] Speed: 127.304796 samples/sec accuracy=77.598214 loss=0.861129 lr=0.001344 Epoch[076] Batch [0399]/[3760] Speed: 129.353510 samples/sec accuracy=77.402344 loss=0.867250 lr=0.001342 Epoch[076] Batch [0449]/[3760] Speed: 131.351283 samples/sec accuracy=77.475694 loss=0.862546 lr=0.001341 Epoch[076] Batch [0499]/[3760] Speed: 141.856231 samples/sec accuracy=77.478125 loss=0.863207 lr=0.001339 Epoch[076] Batch [0549]/[3760] Speed: 124.286497 samples/sec accuracy=77.318182 loss=0.867601 lr=0.001338 Epoch[076] Batch [0599]/[3760] Speed: 140.283671 samples/sec accuracy=77.419271 loss=0.864307 lr=0.001337 Epoch[076] Batch [0649]/[3760] Speed: 123.376109 samples/sec accuracy=77.425481 loss=0.865764 lr=0.001335 Epoch[076] Batch [0699]/[3760] Speed: 132.649877 samples/sec accuracy=77.491071 loss=0.865672 lr=0.001334 Epoch[076] Batch [0749]/[3760] Speed: 125.565041 samples/sec accuracy=77.472917 loss=0.866428 lr=0.001332 Epoch[076] Batch [0799]/[3760] Speed: 141.510319 samples/sec accuracy=77.550781 loss=0.864298 lr=0.001331 Epoch[076] Batch [0849]/[3760] Speed: 123.340547 samples/sec accuracy=77.579044 loss=0.863638 lr=0.001330 Epoch[076] Batch [0899]/[3760] Speed: 137.137355 samples/sec accuracy=77.557292 loss=0.864239 lr=0.001328 Epoch[076] Batch [0949]/[3760] Speed: 134.208264 samples/sec accuracy=77.539474 loss=0.865861 lr=0.001327 Epoch[076] Batch [0999]/[3760] Speed: 128.041028 samples/sec accuracy=77.453125 loss=0.868644 lr=0.001325 Epoch[076] Batch [1049]/[3760] Speed: 137.380786 samples/sec accuracy=77.427083 loss=0.868816 lr=0.001324 Epoch[076] Batch [1099]/[3760] Speed: 127.903928 samples/sec accuracy=77.453125 loss=0.868531 lr=0.001322 Epoch[076] Batch [1149]/[3760] Speed: 138.521347 samples/sec accuracy=77.410326 loss=0.869305 lr=0.001321 Epoch[076] Batch [1199]/[3760] Speed: 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loss=0.869251 lr=0.001307 Epoch[076] Batch [1699]/[3760] Speed: 130.716805 samples/sec accuracy=77.378676 loss=0.870043 lr=0.001305 Epoch[076] Batch [1749]/[3760] Speed: 132.591314 samples/sec accuracy=77.404464 loss=0.868657 lr=0.001304 Epoch[076] Batch [1799]/[3760] Speed: 128.295504 samples/sec accuracy=77.405382 loss=0.868149 lr=0.001303 Epoch[076] Batch [1849]/[3760] Speed: 131.281048 samples/sec accuracy=77.396959 loss=0.868847 lr=0.001301 Epoch[076] Batch [1899]/[3760] Speed: 133.720619 samples/sec accuracy=77.361842 loss=0.869982 lr=0.001300 Epoch[076] Batch [1949]/[3760] Speed: 133.791418 samples/sec accuracy=77.370192 loss=0.870656 lr=0.001298 Epoch[076] Batch [1999]/[3760] Speed: 135.290586 samples/sec accuracy=77.342969 loss=0.871919 lr=0.001297 Epoch[076] Batch [2049]/[3760] Speed: 124.481692 samples/sec accuracy=77.352134 loss=0.871538 lr=0.001296 Epoch[076] Batch [2099]/[3760] Speed: 136.774549 samples/sec accuracy=77.360119 loss=0.871041 lr=0.001294 Epoch[076] Batch 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accuracy=77.329928 loss=0.870558 lr=0.001280 Epoch[076] Batch [2649]/[3760] Speed: 132.598395 samples/sec accuracy=77.324292 loss=0.871076 lr=0.001279 Epoch[076] Batch [2699]/[3760] Speed: 135.751180 samples/sec accuracy=77.313079 loss=0.871705 lr=0.001277 Epoch[076] Batch [2749]/[3760] Speed: 118.046675 samples/sec accuracy=77.303409 loss=0.872207 lr=0.001276 Epoch[076] Batch [2799]/[3760] Speed: 143.653543 samples/sec accuracy=77.307478 loss=0.871848 lr=0.001275 Epoch[076] Batch [2849]/[3760] Speed: 123.285641 samples/sec accuracy=77.277412 loss=0.872595 lr=0.001273 Epoch[076] Batch [2899]/[3760] Speed: 143.029160 samples/sec accuracy=77.256466 loss=0.873347 lr=0.001272 Epoch[076] Batch [2949]/[3760] Speed: 123.303783 samples/sec accuracy=77.233051 loss=0.873473 lr=0.001271 Epoch[076] Batch [2999]/[3760] Speed: 139.363942 samples/sec accuracy=77.231250 loss=0.873474 lr=0.001269 Epoch[076] Batch [3049]/[3760] Speed: 130.647646 samples/sec accuracy=77.222848 loss=0.874064 lr=0.001268 Epoch[076] Batch [3099]/[3760] Speed: 130.737856 samples/sec accuracy=77.230847 loss=0.873812 lr=0.001266 Epoch[076] Batch [3149]/[3760] Speed: 137.210809 samples/sec accuracy=77.225198 loss=0.873780 lr=0.001265 Epoch[076] Batch [3199]/[3760] Speed: 123.497203 samples/sec accuracy=77.218750 loss=0.874109 lr=0.001264 Epoch[076] Batch [3249]/[3760] Speed: 139.450563 samples/sec accuracy=77.207212 loss=0.874173 lr=0.001262 Epoch[076] Batch [3299]/[3760] Speed: 124.886948 samples/sec accuracy=77.187027 loss=0.874642 lr=0.001261 Epoch[076] Batch [3349]/[3760] Speed: 156.790222 samples/sec accuracy=77.185168 loss=0.874857 lr=0.001259 Epoch[076] Batch [3399]/[3760] Speed: 112.979349 samples/sec accuracy=77.188419 loss=0.874811 lr=0.001258 Epoch[076] Batch [3449]/[3760] Speed: 149.029687 samples/sec accuracy=77.170743 loss=0.875658 lr=0.001257 Epoch[076] Batch [3499]/[3760] Speed: 124.892276 samples/sec accuracy=77.159375 loss=0.875931 lr=0.001255 Epoch[076] Batch [3549]/[3760] Speed: 141.122845 samples/sec accuracy=77.168574 loss=0.875836 lr=0.001254 Epoch[076] Batch [3599]/[3760] Speed: 123.214838 samples/sec accuracy=77.167969 loss=0.876110 lr=0.001252 Epoch[076] Batch [3649]/[3760] Speed: 136.507198 samples/sec accuracy=77.147688 loss=0.876518 lr=0.001251 Epoch[076] Batch [3699]/[3760] Speed: 127.722254 samples/sec accuracy=77.144003 loss=0.876596 lr=0.001250 Epoch[076] Batch [3749]/[3760] Speed: 161.934342 samples/sec accuracy=77.134583 loss=0.876753 lr=0.001248 Batch [0049]/[0303]: acc-top1=61.750000 acc-top5=83.625000 Batch [0099]/[0303]: acc-top1=61.125000 acc-top5=83.062500 Batch [0149]/[0303]: acc-top1=61.531250 acc-top5=82.895833 Batch [0199]/[0303]: acc-top1=61.195312 acc-top5=82.937500 Batch [0249]/[0303]: acc-top1=61.231250 acc-top5=82.862500 Batch [0299]/[0303]: acc-top1=61.291667 acc-top5=82.963542 [Epoch 076] training: accuracy=77.128906 loss=0.877115 [Epoch 076] speed: 131 samples/sec time cost: 2014.483741 [Epoch 076] validation: acc-top1=61.288160 acc-top5=82.967203 loss=1.919952 Epoch[077] Batch [0049]/[3760] Speed: 95.305047 samples/sec accuracy=77.218750 loss=0.840878 lr=0.001247 Epoch[077] Batch [0099]/[3760] Speed: 155.556506 samples/sec accuracy=77.843750 loss=0.835455 lr=0.001245 Epoch[077] Batch [0149]/[3760] Speed: 112.203886 samples/sec accuracy=78.000000 loss=0.841159 lr=0.001244 Epoch[077] Batch [0199]/[3760] Speed: 159.666803 samples/sec accuracy=78.132812 loss=0.834947 lr=0.001243 Epoch[077] Batch [0249]/[3760] Speed: 115.308458 samples/sec accuracy=78.000000 loss=0.840287 lr=0.001241 Epoch[077] Batch [0299]/[3760] Speed: 141.717831 samples/sec accuracy=77.916667 loss=0.844251 lr=0.001240 Epoch[077] Batch [0349]/[3760] Speed: 119.508092 samples/sec accuracy=77.625000 loss=0.850302 lr=0.001238 Epoch[077] Batch [0399]/[3760] Speed: 143.457736 samples/sec accuracy=77.781250 loss=0.848230 lr=0.001237 Epoch[077] Batch [0449]/[3760] Speed: 121.964961 samples/sec accuracy=77.822917 loss=0.846642 lr=0.001236 Epoch[077] Batch [0499]/[3760] Speed: 141.289135 samples/sec accuracy=77.737500 loss=0.849165 lr=0.001234 Epoch[077] Batch [0549]/[3760] Speed: 123.804939 samples/sec accuracy=77.789773 loss=0.847276 lr=0.001233 Epoch[077] Batch [0599]/[3760] Speed: 137.886361 samples/sec accuracy=77.736979 loss=0.851235 lr=0.001232 Epoch[077] Batch [0649]/[3760] Speed: 118.249350 samples/sec accuracy=77.757212 loss=0.850575 lr=0.001230 Epoch[077] Batch [0699]/[3760] Speed: 149.641704 samples/sec accuracy=77.727679 loss=0.852294 lr=0.001229 Epoch[077] Batch [0749]/[3760] Speed: 121.923433 samples/sec accuracy=77.679167 loss=0.853803 lr=0.001227 Epoch[077] Batch [0799]/[3760] Speed: 137.660767 samples/sec accuracy=77.703125 loss=0.855386 lr=0.001226 Epoch[077] Batch [0849]/[3760] Speed: 129.953058 samples/sec accuracy=77.702206 loss=0.856579 lr=0.001225 Epoch[077] Batch [0899]/[3760] Speed: 132.866172 samples/sec accuracy=77.685764 loss=0.856268 lr=0.001223 Epoch[077] Batch [0949]/[3760] Speed: 128.961998 samples/sec accuracy=77.583882 loss=0.858194 lr=0.001222 Epoch[077] Batch [0999]/[3760] Speed: 131.258515 samples/sec accuracy=77.603125 loss=0.857505 lr=0.001221 Epoch[077] Batch [1049]/[3760] Speed: 142.623334 samples/sec accuracy=77.625000 loss=0.857101 lr=0.001219 Epoch[077] Batch [1099]/[3760] Speed: 119.573851 samples/sec accuracy=77.606534 loss=0.858246 lr=0.001218 Epoch[077] Batch [1149]/[3760] Speed: 137.508106 samples/sec accuracy=77.650815 loss=0.855808 lr=0.001216 Epoch[077] Batch [1199]/[3760] Speed: 122.828017 samples/sec accuracy=77.593750 loss=0.856664 lr=0.001215 Epoch[077] Batch [1249]/[3760] Speed: 139.312777 samples/sec accuracy=77.620000 loss=0.856450 lr=0.001214 Epoch[077] Batch [1299]/[3760] Speed: 126.472177 samples/sec accuracy=77.609375 loss=0.855709 lr=0.001212 Epoch[077] Batch [1349]/[3760] Speed: 143.518026 samples/sec accuracy=77.564815 loss=0.856356 lr=0.001211 Epoch[077] Batch [1399]/[3760] Speed: 127.200522 samples/sec accuracy=77.533482 loss=0.856304 lr=0.001210 Epoch[077] Batch [1449]/[3760] Speed: 133.473711 samples/sec accuracy=77.548491 loss=0.856219 lr=0.001208 Epoch[077] Batch [1499]/[3760] Speed: 128.499907 samples/sec accuracy=77.570833 loss=0.855223 lr=0.001207 Epoch[077] Batch [1549]/[3760] Speed: 126.520782 samples/sec accuracy=77.614919 loss=0.853456 lr=0.001206 Epoch[077] Batch [1599]/[3760] Speed: 130.833645 samples/sec accuracy=77.629883 loss=0.853413 lr=0.001204 Epoch[077] Batch [1649]/[3760] Speed: 132.393754 samples/sec accuracy=77.620265 loss=0.853158 lr=0.001203 Epoch[077] Batch [1699]/[3760] Speed: 135.262521 samples/sec accuracy=77.646140 loss=0.853905 lr=0.001201 Epoch[077] Batch [1749]/[3760] Speed: 125.077053 samples/sec accuracy=77.629464 loss=0.854132 lr=0.001200 Epoch[077] Batch [1799]/[3760] Speed: 139.421639 samples/sec accuracy=77.627604 loss=0.854302 lr=0.001199 Epoch[077] Batch [1849]/[3760] Speed: 126.026253 samples/sec accuracy=77.626689 loss=0.854237 lr=0.001197 Epoch[077] Batch [1899]/[3760] Speed: 140.977299 samples/sec accuracy=77.582237 loss=0.855766 lr=0.001196 Epoch[077] Batch [1949]/[3760] Speed: 130.131018 samples/sec accuracy=77.582532 loss=0.855644 lr=0.001195 Epoch[077] Batch [1999]/[3760] Speed: 132.041339 samples/sec accuracy=77.583594 loss=0.855309 lr=0.001193 Epoch[077] Batch [2049]/[3760] Speed: 137.361532 samples/sec accuracy=77.619665 loss=0.854119 lr=0.001192 Epoch[077] Batch [2099]/[3760] Speed: 126.422199 samples/sec accuracy=77.611607 loss=0.854234 lr=0.001191 Epoch[077] Batch [2149]/[3760] Speed: 122.088744 samples/sec accuracy=77.601017 loss=0.854637 lr=0.001189 Epoch[077] Batch [2199]/[3760] Speed: 139.931148 samples/sec accuracy=77.597301 loss=0.854857 lr=0.001188 Epoch[077] Batch [2249]/[3760] Speed: 144.318378 samples/sec accuracy=77.573611 loss=0.855741 lr=0.001187 Epoch[077] Batch [2299]/[3760] Speed: 120.745179 samples/sec accuracy=77.590353 loss=0.855405 lr=0.001185 Epoch[077] Batch [2349]/[3760] Speed: 131.160809 samples/sec accuracy=77.566489 loss=0.855477 lr=0.001184 Epoch[077] Batch [2399]/[3760] Speed: 135.354553 samples/sec accuracy=77.584635 loss=0.854934 lr=0.001183 Epoch[077] Batch [2449]/[3760] Speed: 126.542142 samples/sec accuracy=77.576531 loss=0.855534 lr=0.001181 Epoch[077] Batch [2499]/[3760] Speed: 140.686480 samples/sec accuracy=77.554375 loss=0.856164 lr=0.001180 Epoch[077] Batch [2549]/[3760] Speed: 126.043985 samples/sec accuracy=77.550245 loss=0.856222 lr=0.001178 Epoch[077] Batch [2599]/[3760] Speed: 142.994976 samples/sec accuracy=77.568510 loss=0.856065 lr=0.001177 Epoch[077] Batch [2649]/[3760] Speed: 119.426616 samples/sec accuracy=77.558962 loss=0.856027 lr=0.001176 Epoch[077] Batch [2699]/[3760] Speed: 135.146772 samples/sec accuracy=77.556713 loss=0.856143 lr=0.001174 Epoch[077] Batch [2749]/[3760] Speed: 133.210043 samples/sec accuracy=77.561932 loss=0.856065 lr=0.001173 Epoch[077] Batch [2799]/[3760] Speed: 124.410725 samples/sec accuracy=77.562500 loss=0.856272 lr=0.001172 Epoch[077] Batch [2849]/[3760] Speed: 139.490711 samples/sec accuracy=77.575110 loss=0.856127 lr=0.001170 Epoch[077] Batch [2899]/[3760] Speed: 126.490311 samples/sec accuracy=77.569504 loss=0.856330 lr=0.001169 Epoch[077] Batch [2949]/[3760] Speed: 134.862973 samples/sec accuracy=77.555085 loss=0.856544 lr=0.001168 Epoch[077] Batch [2999]/[3760] Speed: 126.319687 samples/sec accuracy=77.544271 loss=0.857374 lr=0.001166 Epoch[077] Batch [3049]/[3760] Speed: 145.046927 samples/sec accuracy=77.545082 loss=0.857735 lr=0.001165 Epoch[077] Batch [3099]/[3760] Speed: 123.324463 samples/sec accuracy=77.551915 loss=0.857984 lr=0.001164 Epoch[077] Batch [3149]/[3760] Speed: 134.560317 samples/sec accuracy=77.530258 loss=0.858373 lr=0.001162 Epoch[077] Batch [3199]/[3760] Speed: 125.398471 samples/sec accuracy=77.507812 loss=0.859289 lr=0.001161 Epoch[077] Batch [3249]/[3760] Speed: 139.187291 samples/sec accuracy=77.521154 loss=0.859014 lr=0.001160 Epoch[077] Batch [3299]/[3760] Speed: 125.131324 samples/sec accuracy=77.522254 loss=0.858918 lr=0.001158 Epoch[077] Batch [3349]/[3760] Speed: 136.615509 samples/sec accuracy=77.513526 loss=0.859109 lr=0.001157 Epoch[077] Batch [3399]/[3760] Speed: 128.286458 samples/sec accuracy=77.500919 loss=0.859389 lr=0.001156 Epoch[077] Batch [3449]/[3760] Speed: 136.043640 samples/sec accuracy=77.509511 loss=0.859207 lr=0.001154 Epoch[077] Batch [3499]/[3760] Speed: 121.554083 samples/sec accuracy=77.500000 loss=0.859461 lr=0.001153 Epoch[077] Batch [3549]/[3760] Speed: 140.662590 samples/sec accuracy=77.502641 loss=0.859438 lr=0.001152 Epoch[077] Batch [3599]/[3760] Speed: 128.356106 samples/sec accuracy=77.512153 loss=0.859356 lr=0.001150 Epoch[077] Batch [3649]/[3760] Speed: 136.356538 samples/sec accuracy=77.520976 loss=0.859154 lr=0.001149 Epoch[077] Batch [3699]/[3760] Speed: 132.970314 samples/sec accuracy=77.532517 loss=0.858868 lr=0.001148 Epoch[077] Batch [3749]/[3760] Speed: 155.251375 samples/sec accuracy=77.537083 loss=0.858840 lr=0.001146 Batch [0049]/[0303]: acc-top1=61.406250 acc-top5=83.031250 Batch [0099]/[0303]: acc-top1=60.937500 acc-top5=82.859375 Batch [0149]/[0303]: acc-top1=61.437500 acc-top5=82.770833 Batch [0199]/[0303]: acc-top1=61.242188 acc-top5=82.898438 Batch [0249]/[0303]: acc-top1=61.225000 acc-top5=82.937500 Batch [0299]/[0303]: acc-top1=61.359375 acc-top5=83.015625 [Epoch 077] training: accuracy=77.534907 loss=0.858765 [Epoch 077] speed: 131 samples/sec time cost: 2015.578679 [Epoch 077] validation: acc-top1=61.386139 acc-top5=83.013614 loss=1.901953 Epoch[078] Batch [0049]/[3759] Speed: 94.719128 samples/sec accuracy=78.312500 loss=0.807104 lr=0.001145 Epoch[078] Batch [0099]/[3759] Speed: 125.584039 samples/sec accuracy=78.203125 loss=0.813820 lr=0.001143 Epoch[078] Batch [0149]/[3759] Speed: 141.653062 samples/sec accuracy=78.354167 loss=0.817396 lr=0.001142 Epoch[078] Batch [0199]/[3759] Speed: 125.069541 samples/sec accuracy=78.382812 loss=0.823093 lr=0.001141 Epoch[078] Batch [0249]/[3759] Speed: 130.620793 samples/sec accuracy=78.456250 loss=0.822051 lr=0.001139 Epoch[078] Batch [0299]/[3759] Speed: 137.770168 samples/sec accuracy=78.260417 loss=0.829424 lr=0.001138 Epoch[078] Batch [0349]/[3759] Speed: 124.017045 samples/sec accuracy=78.084821 loss=0.829591 lr=0.001137 Epoch[078] Batch [0399]/[3759] Speed: 152.888858 samples/sec accuracy=78.156250 loss=0.827207 lr=0.001135 Epoch[078] Batch [0449]/[3759] Speed: 114.046800 samples/sec accuracy=78.142361 loss=0.828064 lr=0.001134 Epoch[078] Batch [0499]/[3759] Speed: 152.691882 samples/sec accuracy=77.943750 loss=0.833626 lr=0.001133 Epoch[078] Batch [0549]/[3759] Speed: 119.529270 samples/sec accuracy=78.051136 loss=0.829664 lr=0.001131 Epoch[078] Batch [0599]/[3759] Speed: 135.216014 samples/sec accuracy=77.989583 loss=0.830797 lr=0.001130 Epoch[078] Batch [0649]/[3759] Speed: 134.076628 samples/sec accuracy=78.040865 loss=0.831415 lr=0.001129 Epoch[078] Batch [0699]/[3759] Speed: 137.344083 samples/sec accuracy=77.995536 loss=0.832828 lr=0.001127 Epoch[078] Batch [0749]/[3759] Speed: 123.827543 samples/sec accuracy=77.931250 loss=0.834974 lr=0.001126 Epoch[078] Batch [0799]/[3759] Speed: 131.777895 samples/sec accuracy=78.021484 loss=0.833049 lr=0.001125 Epoch[078] Batch [0849]/[3759] Speed: 132.429166 samples/sec accuracy=78.018382 loss=0.833490 lr=0.001124 Epoch[078] Batch [0899]/[3759] Speed: 122.517169 samples/sec accuracy=78.003472 loss=0.833831 lr=0.001122 Epoch[078] Batch [0949]/[3759] Speed: 141.380307 samples/sec accuracy=78.062500 loss=0.833682 lr=0.001121 Epoch[078] Batch [0999]/[3759] Speed: 118.457415 samples/sec accuracy=78.071875 loss=0.834805 lr=0.001120 Epoch[078] Batch [1049]/[3759] Speed: 153.406486 samples/sec accuracy=78.056548 loss=0.836205 lr=0.001118 Epoch[078] Batch [1099]/[3759] Speed: 115.293356 samples/sec accuracy=78.044034 loss=0.835829 lr=0.001117 Epoch[078] Batch [1149]/[3759] Speed: 150.067139 samples/sec accuracy=78.048913 loss=0.836646 lr=0.001116 Epoch[078] Batch [1199]/[3759] Speed: 128.021648 samples/sec accuracy=78.052083 loss=0.836888 lr=0.001114 Epoch[078] Batch [1249]/[3759] Speed: 131.572889 samples/sec accuracy=78.036250 loss=0.837667 lr=0.001113 Epoch[078] Batch [1299]/[3759] Speed: 135.795476 samples/sec accuracy=78.031250 loss=0.838159 lr=0.001112 Epoch[078] Batch [1349]/[3759] Speed: 123.673822 samples/sec accuracy=78.046296 loss=0.837547 lr=0.001110 Epoch[078] Batch [1399]/[3759] Speed: 141.644019 samples/sec accuracy=78.029018 loss=0.839078 lr=0.001109 Epoch[078] Batch [1449]/[3759] Speed: 118.716984 samples/sec accuracy=78.008621 loss=0.840510 lr=0.001108 Epoch[078] Batch [1499]/[3759] Speed: 145.947445 samples/sec accuracy=78.004167 loss=0.841632 lr=0.001106 Epoch[078] Batch [1549]/[3759] Speed: 125.995523 samples/sec accuracy=78.001008 loss=0.841964 lr=0.001105 Epoch[078] Batch [1599]/[3759] Speed: 146.333329 samples/sec accuracy=77.995117 loss=0.842140 lr=0.001104 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loss=0.842358 lr=0.001079 Epoch[078] Batch [2599]/[3759] Speed: 121.764778 samples/sec accuracy=78.014423 loss=0.841936 lr=0.001078 Epoch[078] Batch [2649]/[3759] Speed: 143.397578 samples/sec accuracy=78.006486 loss=0.842489 lr=0.001076 Epoch[078] Batch [2699]/[3759] Speed: 118.194493 samples/sec accuracy=78.006944 loss=0.842547 lr=0.001075 Epoch[078] Batch [2749]/[3759] Speed: 139.746239 samples/sec accuracy=78.009659 loss=0.842397 lr=0.001074 Epoch[078] Batch [2799]/[3759] Speed: 122.635752 samples/sec accuracy=77.998326 loss=0.842480 lr=0.001073 Epoch[078] Batch [2849]/[3759] Speed: 155.889106 samples/sec accuracy=78.006579 loss=0.842465 lr=0.001071 Epoch[078] Batch [2899]/[3759] Speed: 114.768541 samples/sec accuracy=78.007543 loss=0.842196 lr=0.001070 Epoch[078] Batch [2949]/[3759] Speed: 138.967510 samples/sec accuracy=77.993644 loss=0.842702 lr=0.001069 Epoch[078] Batch [2999]/[3759] Speed: 120.740343 samples/sec accuracy=77.965104 loss=0.843364 lr=0.001067 Epoch[078] Batch 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accuracy=77.895982 loss=0.846280 lr=0.001055 Epoch[078] Batch [3549]/[3759] Speed: 133.650044 samples/sec accuracy=77.908011 loss=0.845633 lr=0.001053 Epoch[078] Batch [3599]/[3759] Speed: 125.458759 samples/sec accuracy=77.903646 loss=0.845905 lr=0.001052 Epoch[078] Batch [3649]/[3759] Speed: 142.538568 samples/sec accuracy=77.905822 loss=0.845510 lr=0.001051 Epoch[078] Batch [3699]/[3759] Speed: 126.180120 samples/sec accuracy=77.894003 loss=0.845976 lr=0.001049 Epoch[078] Batch [3749]/[3759] Speed: 157.032611 samples/sec accuracy=77.897917 loss=0.846023 lr=0.001048 Batch [0049]/[0303]: acc-top1=60.875000 acc-top5=83.437500 Batch [0099]/[0303]: acc-top1=60.843750 acc-top5=82.875000 Batch [0149]/[0303]: acc-top1=61.322917 acc-top5=82.875000 Batch [0199]/[0303]: acc-top1=61.125000 acc-top5=82.937500 Batch [0249]/[0303]: acc-top1=61.212500 acc-top5=82.825000 Batch [0299]/[0303]: acc-top1=61.364583 acc-top5=82.864583 [Epoch 078] training: accuracy=77.893888 loss=0.846162 [Epoch 078] speed: 131 samples/sec time cost: 2014.850007 [Epoch 078] validation: acc-top1=61.386139 acc-top5=82.884695 loss=1.940602 Epoch[079] Batch [0049]/[3760] Speed: 96.315146 samples/sec accuracy=78.843750 loss=0.813553 lr=0.001047 Epoch[079] Batch [0099]/[3760] Speed: 150.976114 samples/sec accuracy=78.437500 loss=0.828599 lr=0.001045 Epoch[079] Batch [0149]/[3760] Speed: 116.304147 samples/sec accuracy=78.677083 loss=0.820088 lr=0.001044 Epoch[079] Batch [0199]/[3760] Speed: 144.155788 samples/sec accuracy=78.898438 loss=0.807076 lr=0.001043 Epoch[079] Batch [0249]/[3760] Speed: 126.438826 samples/sec accuracy=78.806250 loss=0.805988 lr=0.001042 Epoch[079] Batch [0299]/[3760] Speed: 132.545725 samples/sec accuracy=78.630208 loss=0.811543 lr=0.001040 Epoch[079] Batch [0349]/[3760] Speed: 130.075618 samples/sec accuracy=78.709821 loss=0.807770 lr=0.001039 Epoch[079] Batch [0399]/[3760] Speed: 130.108473 samples/sec accuracy=78.730469 loss=0.809987 lr=0.001038 Epoch[079] Batch [0449]/[3760] 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accuracy=78.710069 loss=0.813100 lr=0.001025 Epoch[079] Batch [0949]/[3760] Speed: 126.310498 samples/sec accuracy=78.675987 loss=0.815978 lr=0.001024 Epoch[079] Batch [0999]/[3760] Speed: 131.569323 samples/sec accuracy=78.670312 loss=0.815814 lr=0.001022 Epoch[079] Batch [1049]/[3760] Speed: 135.669559 samples/sec accuracy=78.583333 loss=0.816910 lr=0.001021 Epoch[079] Batch [1099]/[3760] Speed: 132.804878 samples/sec accuracy=78.555398 loss=0.817923 lr=0.001020 Epoch[079] Batch [1149]/[3760] Speed: 130.376494 samples/sec accuracy=78.525815 loss=0.819725 lr=0.001019 Epoch[079] Batch [1199]/[3760] Speed: 132.396769 samples/sec accuracy=78.570312 loss=0.819327 lr=0.001017 Epoch[079] Batch [1249]/[3760] Speed: 128.603741 samples/sec accuracy=78.588750 loss=0.818772 lr=0.001016 Epoch[079] Batch [1299]/[3760] Speed: 132.906944 samples/sec accuracy=78.572115 loss=0.818630 lr=0.001015 Epoch[079] Batch [1349]/[3760] Speed: 129.579098 samples/sec accuracy=78.575231 loss=0.818813 lr=0.001014 Epoch[079] Batch [1399]/[3760] Speed: 132.693290 samples/sec accuracy=78.562500 loss=0.819636 lr=0.001012 Epoch[079] Batch [1449]/[3760] Speed: 127.203691 samples/sec accuracy=78.581897 loss=0.819130 lr=0.001011 Epoch[079] Batch [1499]/[3760] Speed: 140.666874 samples/sec accuracy=78.557292 loss=0.819556 lr=0.001010 Epoch[079] Batch [1549]/[3760] Speed: 122.620417 samples/sec accuracy=78.541331 loss=0.820510 lr=0.001009 Epoch[079] Batch [1599]/[3760] Speed: 139.554088 samples/sec accuracy=78.552734 loss=0.820558 lr=0.001007 Epoch[079] Batch [1649]/[3760] Speed: 127.536052 samples/sec accuracy=78.544508 loss=0.821391 lr=0.001006 Epoch[079] Batch [1699]/[3760] Speed: 139.527191 samples/sec accuracy=78.532169 loss=0.822186 lr=0.001005 Epoch[079] Batch [1749]/[3760] Speed: 126.202405 samples/sec accuracy=78.529464 loss=0.822680 lr=0.001004 Epoch[079] Batch [1799]/[3760] Speed: 137.039071 samples/sec accuracy=78.546875 loss=0.822308 lr=0.001002 Epoch[079] Batch [1849]/[3760] Speed: 134.520086 samples/sec accuracy=78.532939 loss=0.822686 lr=0.001001 Epoch[079] Batch [1899]/[3760] Speed: 126.426656 samples/sec accuracy=78.511513 loss=0.823590 lr=0.001000 Epoch[079] Batch [1949]/[3760] Speed: 139.376686 samples/sec accuracy=78.509615 loss=0.823474 lr=0.000999 Epoch[079] Batch [1999]/[3760] Speed: 127.924288 samples/sec accuracy=78.516406 loss=0.823204 lr=0.000997 Epoch[079] Batch [2049]/[3760] Speed: 131.726260 samples/sec accuracy=78.501524 loss=0.823228 lr=0.000996 Epoch[079] Batch [2099]/[3760] Speed: 129.078556 samples/sec accuracy=78.508185 loss=0.823307 lr=0.000995 Epoch[079] Batch [2149]/[3760] Speed: 141.867682 samples/sec accuracy=78.501453 loss=0.823578 lr=0.000994 Epoch[079] Batch [2199]/[3760] Speed: 117.195742 samples/sec accuracy=78.493608 loss=0.823834 lr=0.000992 Epoch[079] Batch [2249]/[3760] Speed: 145.553424 samples/sec accuracy=78.490972 loss=0.824112 lr=0.000991 Epoch[079] Batch [2299]/[3760] Speed: 120.679946 samples/sec accuracy=78.470788 loss=0.824857 lr=0.000990 Epoch[079] Batch [2349]/[3760] Speed: 140.146505 samples/sec accuracy=78.470745 loss=0.825772 lr=0.000989 Epoch[079] Batch [2399]/[3760] Speed: 126.788446 samples/sec accuracy=78.448568 loss=0.826291 lr=0.000987 Epoch[079] Batch [2449]/[3760] Speed: 135.583270 samples/sec accuracy=78.438776 loss=0.826355 lr=0.000986 Epoch[079] Batch [2499]/[3760] Speed: 134.232504 samples/sec accuracy=78.443750 loss=0.826326 lr=0.000985 Epoch[079] Batch [2549]/[3760] Speed: 130.966839 samples/sec accuracy=78.406863 loss=0.827663 lr=0.000984 Epoch[079] Batch [2599]/[3760] Speed: 129.548066 samples/sec accuracy=78.416466 loss=0.827660 lr=0.000982 Epoch[079] Batch [2649]/[3760] Speed: 129.115204 samples/sec accuracy=78.429835 loss=0.827059 lr=0.000981 Epoch[079] Batch [2699]/[3760] Speed: 126.744487 samples/sec accuracy=78.440972 loss=0.826509 lr=0.000980 Epoch[079] Batch [2749]/[3760] Speed: 136.138363 samples/sec accuracy=78.437500 loss=0.826487 lr=0.000979 Epoch[079] Batch [2799]/[3760] Speed: 138.823704 samples/sec accuracy=78.439174 loss=0.826455 lr=0.000977 Epoch[079] Batch [2849]/[3760] Speed: 119.305393 samples/sec accuracy=78.427083 loss=0.826660 lr=0.000976 Epoch[079] Batch [2899]/[3760] Speed: 151.838029 samples/sec accuracy=78.422953 loss=0.826887 lr=0.000975 Epoch[079] Batch [2949]/[3760] Speed: 123.358856 samples/sec accuracy=78.436441 loss=0.826599 lr=0.000974 Epoch[079] Batch [2999]/[3760] Speed: 140.883525 samples/sec accuracy=78.423438 loss=0.826636 lr=0.000972 Epoch[079] Batch [3049]/[3760] Speed: 121.693024 samples/sec accuracy=78.428791 loss=0.826643 lr=0.000971 Epoch[079] Batch [3099]/[3760] Speed: 136.931534 samples/sec accuracy=78.427923 loss=0.826432 lr=0.000970 Epoch[079] Batch [3149]/[3760] Speed: 127.214944 samples/sec accuracy=78.423611 loss=0.826401 lr=0.000969 Epoch[079] Batch [3199]/[3760] Speed: 134.781416 samples/sec accuracy=78.416992 loss=0.826800 lr=0.000967 Epoch[079] Batch [3249]/[3760] Speed: 132.823055 samples/sec accuracy=78.436538 loss=0.826376 lr=0.000966 Epoch[079] Batch [3299]/[3760] Speed: 130.456796 samples/sec accuracy=78.445076 loss=0.826094 lr=0.000965 Epoch[079] Batch [3349]/[3760] Speed: 130.847437 samples/sec accuracy=78.435168 loss=0.826452 lr=0.000964 Epoch[079] Batch [3399]/[3760] Speed: 141.508842 samples/sec accuracy=78.431985 loss=0.826576 lr=0.000962 Epoch[079] Batch [3449]/[3760] Speed: 121.985599 samples/sec accuracy=78.430707 loss=0.826419 lr=0.000961 Epoch[079] Batch [3499]/[3760] Speed: 139.218666 samples/sec accuracy=78.425000 loss=0.826543 lr=0.000960 Epoch[079] Batch [3549]/[3760] Speed: 128.347632 samples/sec accuracy=78.397007 loss=0.827677 lr=0.000959 Epoch[079] Batch [3599]/[3760] Speed: 127.941989 samples/sec accuracy=78.395833 loss=0.827812 lr=0.000958 Epoch[079] Batch [3649]/[3760] Speed: 131.912585 samples/sec accuracy=78.390411 loss=0.827922 lr=0.000956 Epoch[079] Batch [3699]/[3760] Speed: 136.339134 samples/sec accuracy=78.392736 loss=0.827969 lr=0.000955 Epoch[079] Batch [3749]/[3760] Speed: 153.320578 samples/sec accuracy=78.391667 loss=0.828321 lr=0.000954 Batch [0049]/[0303]: acc-top1=61.406250 acc-top5=82.812500 Batch [0099]/[0303]: acc-top1=61.062500 acc-top5=82.859375 Batch [0149]/[0303]: acc-top1=61.437500 acc-top5=82.885417 Batch [0199]/[0303]: acc-top1=61.257812 acc-top5=83.046875 Batch [0249]/[0303]: acc-top1=61.275000 acc-top5=82.956250 Batch [0299]/[0303]: acc-top1=61.338542 acc-top5=82.979167 [Epoch 079] training: accuracy=78.389711 loss=0.828343 [Epoch 079] speed: 131 samples/sec time cost: 2012.917673 [Epoch 079] validation: acc-top1=61.380982 acc-top5=82.982673 loss=1.912941 Epoch[080] Batch [0049]/[3760] Speed: 95.746565 samples/sec accuracy=78.562500 loss=0.825890 lr=0.000952 Epoch[080] Batch [0099]/[3760] Speed: 117.912044 samples/sec accuracy=78.875000 loss=0.803560 lr=0.000951 Epoch[080] Batch [0149]/[3760] Speed: 153.469404 samples/sec accuracy=79.072917 loss=0.811106 lr=0.000950 Epoch[080] Batch [0199]/[3760] Speed: 130.507715 samples/sec accuracy=78.867188 loss=0.820808 lr=0.000949 Epoch[080] Batch [0249]/[3760] Speed: 132.624345 samples/sec accuracy=78.937500 loss=0.815034 lr=0.000947 Epoch[080] Batch [0299]/[3760] Speed: 137.156541 samples/sec accuracy=79.000000 loss=0.809655 lr=0.000946 Epoch[080] Batch [0349]/[3760] Speed: 121.710478 samples/sec accuracy=78.995536 loss=0.809123 lr=0.000945 Epoch[080] Batch [0399]/[3760] Speed: 126.787511 samples/sec accuracy=79.019531 loss=0.805333 lr=0.000944 Epoch[080] Batch [0449]/[3760] Speed: 142.008180 samples/sec accuracy=78.986111 loss=0.802108 lr=0.000943 Epoch[080] Batch [0499]/[3760] Speed: 125.803894 samples/sec accuracy=78.953125 loss=0.802586 lr=0.000941 Epoch[080] Batch [0549]/[3760] Speed: 139.547849 samples/sec accuracy=78.846591 loss=0.806495 lr=0.000940 Epoch[080] Batch [0599]/[3760] Speed: 129.748161 samples/sec accuracy=78.835938 loss=0.806942 lr=0.000939 Epoch[080] Batch [0649]/[3760] Speed: 129.896999 samples/sec accuracy=78.896635 loss=0.806813 lr=0.000938 Epoch[080] Batch [0699]/[3760] Speed: 135.062698 samples/sec accuracy=78.897321 loss=0.805452 lr=0.000937 Epoch[080] Batch [0749]/[3760] Speed: 129.943026 samples/sec accuracy=78.885417 loss=0.806868 lr=0.000935 Epoch[080] Batch [0799]/[3760] Speed: 133.891118 samples/sec accuracy=78.816406 loss=0.809988 lr=0.000934 Epoch[080] Batch [0849]/[3760] Speed: 127.698003 samples/sec accuracy=78.840074 loss=0.810119 lr=0.000933 Epoch[080] Batch [0899]/[3760] Speed: 135.532589 samples/sec accuracy=78.828125 loss=0.810736 lr=0.000932 Epoch[080] Batch [0949]/[3760] Speed: 120.095465 samples/sec accuracy=78.845395 loss=0.810305 lr=0.000930 Epoch[080] Batch [0999]/[3760] Speed: 141.153147 samples/sec accuracy=78.846875 loss=0.809979 lr=0.000929 Epoch[080] Batch [1049]/[3760] Speed: 120.085698 samples/sec accuracy=78.849702 loss=0.809378 lr=0.000928 Epoch[080] Batch [1099]/[3760] Speed: 139.550806 samples/sec accuracy=78.801136 loss=0.809869 lr=0.000927 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accuracy=78.790104 loss=0.812798 lr=0.000881 Epoch[080] Batch [3049]/[3760] Speed: 137.095225 samples/sec accuracy=78.773566 loss=0.813701 lr=0.000880 Epoch[080] Batch [3099]/[3760] Speed: 134.898028 samples/sec accuracy=78.777722 loss=0.813560 lr=0.000879 Epoch[080] Batch [3149]/[3760] Speed: 133.138124 samples/sec accuracy=78.789187 loss=0.813444 lr=0.000878 Epoch[080] Batch [3199]/[3760] Speed: 131.031484 samples/sec accuracy=78.785645 loss=0.813491 lr=0.000877 Epoch[080] Batch [3249]/[3760] Speed: 129.665718 samples/sec accuracy=78.773558 loss=0.813795 lr=0.000875 Epoch[080] Batch [3299]/[3760] Speed: 137.029788 samples/sec accuracy=78.777462 loss=0.813526 lr=0.000874 Epoch[080] Batch [3349]/[3760] Speed: 118.640614 samples/sec accuracy=78.776119 loss=0.813402 lr=0.000873 Epoch[080] Batch [3399]/[3760] Speed: 148.025809 samples/sec accuracy=78.781710 loss=0.813392 lr=0.000872 Epoch[080] Batch [3449]/[3760] Speed: 117.782673 samples/sec accuracy=78.781703 loss=0.813522 lr=0.000871 Epoch[080] Batch [3499]/[3760] Speed: 144.218547 samples/sec accuracy=78.787500 loss=0.813501 lr=0.000869 Epoch[080] Batch [3549]/[3760] Speed: 119.243872 samples/sec accuracy=78.766285 loss=0.814074 lr=0.000868 Epoch[080] Batch [3599]/[3760] Speed: 146.791672 samples/sec accuracy=78.758247 loss=0.814361 lr=0.000867 Epoch[080] Batch [3649]/[3760] Speed: 119.861058 samples/sec accuracy=78.758134 loss=0.813945 lr=0.000866 Epoch[080] Batch [3699]/[3760] Speed: 142.647023 samples/sec accuracy=78.746622 loss=0.814010 lr=0.000865 Epoch[080] Batch [3749]/[3760] Speed: 146.866753 samples/sec accuracy=78.745417 loss=0.813760 lr=0.000864 Batch [0049]/[0303]: acc-top1=61.656250 acc-top5=83.125000 Batch [0099]/[0303]: acc-top1=61.531250 acc-top5=83.187500 Batch [0149]/[0303]: acc-top1=61.958333 acc-top5=83.343750 Batch [0199]/[0303]: acc-top1=61.687500 acc-top5=83.429688 Batch [0249]/[0303]: acc-top1=61.587500 acc-top5=83.275000 Batch [0299]/[0303]: acc-top1=61.802083 acc-top5=83.286458 [Epoch 080] training: accuracy=78.746260 loss=0.813671 [Epoch 080] speed: 131 samples/sec time cost: 2016.050446 [Epoch 080] validation: acc-top1=61.803837 acc-top5=83.266295 loss=1.905922 Epoch[081] Batch [0049]/[3759] Speed: 93.037823 samples/sec accuracy=79.437500 loss=0.793867 lr=0.000862 Epoch[081] Batch [0099]/[3759] Speed: 149.894282 samples/sec accuracy=79.062500 loss=0.801915 lr=0.000861 Epoch[081] Batch [0149]/[3759] Speed: 119.096053 samples/sec accuracy=79.093750 loss=0.798991 lr=0.000860 Epoch[081] Batch [0199]/[3759] Speed: 142.791934 samples/sec accuracy=79.289062 loss=0.792983 lr=0.000859 Epoch[081] Batch [0249]/[3759] Speed: 116.964287 samples/sec accuracy=79.293750 loss=0.797260 lr=0.000857 Epoch[081] Batch [0299]/[3759] Speed: 141.671717 samples/sec accuracy=79.020833 loss=0.805481 lr=0.000856 Epoch[081] Batch [0349]/[3759] Speed: 124.467761 samples/sec accuracy=79.151786 loss=0.799602 lr=0.000855 Epoch[081] Batch [0399]/[3759] Speed: 148.142050 samples/sec accuracy=79.109375 loss=0.800590 lr=0.000854 Epoch[081] Batch [0449]/[3759] Speed: 114.401134 samples/sec accuracy=79.128472 loss=0.798752 lr=0.000853 Epoch[081] Batch [0499]/[3759] Speed: 142.640685 samples/sec accuracy=79.221875 loss=0.796303 lr=0.000852 Epoch[081] Batch [0549]/[3759] Speed: 126.873393 samples/sec accuracy=79.306818 loss=0.793266 lr=0.000850 Epoch[081] Batch [0599]/[3759] Speed: 128.933662 samples/sec accuracy=79.419271 loss=0.790766 lr=0.000849 Epoch[081] Batch [0649]/[3759] Speed: 138.858928 samples/sec accuracy=79.269231 loss=0.795113 lr=0.000848 Epoch[081] Batch [0699]/[3759] Speed: 121.705155 samples/sec accuracy=79.281250 loss=0.795275 lr=0.000847 Epoch[081] Batch [0749]/[3759] Speed: 146.987573 samples/sec accuracy=79.345833 loss=0.792490 lr=0.000846 Epoch[081] Batch [0799]/[3759] Speed: 120.156123 samples/sec accuracy=79.251953 loss=0.794512 lr=0.000845 Epoch[081] Batch [0849]/[3759] Speed: 148.943463 samples/sec accuracy=79.297794 loss=0.795015 lr=0.000843 Epoch[081] Batch [0899]/[3759] Speed: 118.886862 samples/sec accuracy=79.321181 loss=0.793350 lr=0.000842 Epoch[081] Batch [0949]/[3759] Speed: 134.895219 samples/sec accuracy=79.351974 loss=0.792671 lr=0.000841 Epoch[081] Batch [0999]/[3759] Speed: 131.710516 samples/sec accuracy=79.343750 loss=0.792220 lr=0.000840 Epoch[081] Batch [1049]/[3759] Speed: 127.486909 samples/sec accuracy=79.324405 loss=0.792858 lr=0.000839 Epoch[081] Batch [1099]/[3759] Speed: 130.988217 samples/sec accuracy=79.348011 loss=0.792452 lr=0.000838 Epoch[081] Batch [1149]/[3759] Speed: 142.673648 samples/sec accuracy=79.339674 loss=0.792170 lr=0.000837 Epoch[081] Batch [1199]/[3759] Speed: 117.950026 samples/sec accuracy=79.342448 loss=0.792165 lr=0.000835 Epoch[081] Batch [1249]/[3759] Speed: 143.693483 samples/sec accuracy=79.307500 loss=0.793122 lr=0.000834 Epoch[081] Batch [1299]/[3759] Speed: 130.737437 samples/sec accuracy=79.311298 loss=0.792521 lr=0.000833 Epoch[081] Batch [1349]/[3759] Speed: 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loss=0.795351 lr=0.000822 Epoch[081] Batch [1849]/[3759] Speed: 139.770642 samples/sec accuracy=79.266892 loss=0.795350 lr=0.000820 Epoch[081] Batch [1899]/[3759] Speed: 120.813173 samples/sec accuracy=79.226974 loss=0.795594 lr=0.000819 Epoch[081] Batch [1949]/[3759] Speed: 136.573513 samples/sec accuracy=79.226763 loss=0.795587 lr=0.000818 Epoch[081] Batch [1999]/[3759] Speed: 128.747733 samples/sec accuracy=79.216406 loss=0.795298 lr=0.000817 Epoch[081] Batch [2049]/[3759] Speed: 139.276198 samples/sec accuracy=79.215701 loss=0.795514 lr=0.000816 Epoch[081] Batch [2099]/[3759] Speed: 127.181246 samples/sec accuracy=79.213542 loss=0.794947 lr=0.000815 Epoch[081] Batch [2149]/[3759] Speed: 133.087794 samples/sec accuracy=79.216570 loss=0.795428 lr=0.000814 Epoch[081] Batch [2199]/[3759] Speed: 125.304216 samples/sec accuracy=79.191051 loss=0.796160 lr=0.000812 Epoch[081] Batch [2249]/[3759] Speed: 136.533732 samples/sec accuracy=79.209722 loss=0.795860 lr=0.000811 Epoch[081] Batch 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accuracy=79.138068 loss=0.798428 lr=0.000800 Epoch[081] Batch [2799]/[3759] Speed: 125.620827 samples/sec accuracy=79.119978 loss=0.798794 lr=0.000799 Epoch[081] Batch [2849]/[3759] Speed: 129.049451 samples/sec accuracy=79.128838 loss=0.798866 lr=0.000798 Epoch[081] Batch [2899]/[3759] Speed: 142.346262 samples/sec accuracy=79.122845 loss=0.799009 lr=0.000796 Epoch[081] Batch [2949]/[3759] Speed: 121.703452 samples/sec accuracy=79.118114 loss=0.798659 lr=0.000795 Epoch[081] Batch [2999]/[3759] Speed: 131.775149 samples/sec accuracy=79.123958 loss=0.798859 lr=0.000794 Epoch[081] Batch [3049]/[3759] Speed: 137.777003 samples/sec accuracy=79.105533 loss=0.799325 lr=0.000793 Epoch[081] Batch [3099]/[3759] Speed: 124.403788 samples/sec accuracy=79.092238 loss=0.799883 lr=0.000792 Epoch[081] Batch [3149]/[3759] Speed: 139.072847 samples/sec accuracy=79.073909 loss=0.800373 lr=0.000791 Epoch[081] Batch [3199]/[3759] Speed: 127.944515 samples/sec accuracy=79.062500 loss=0.801085 lr=0.000790 Epoch[081] Batch [3249]/[3759] Speed: 134.426554 samples/sec accuracy=79.042308 loss=0.801236 lr=0.000789 Epoch[081] Batch [3299]/[3759] Speed: 129.201354 samples/sec accuracy=79.054451 loss=0.800872 lr=0.000787 Epoch[081] Batch [3349]/[3759] Speed: 129.083042 samples/sec accuracy=79.061567 loss=0.800812 lr=0.000786 Epoch[081] Batch [3399]/[3759] Speed: 134.181017 samples/sec accuracy=79.083180 loss=0.800223 lr=0.000785 Epoch[081] Batch [3449]/[3759] Speed: 137.452547 samples/sec accuracy=79.102808 loss=0.799660 lr=0.000784 Epoch[081] Batch [3499]/[3759] Speed: 124.179267 samples/sec accuracy=79.102679 loss=0.799282 lr=0.000783 Epoch[081] Batch [3549]/[3759] Speed: 131.414526 samples/sec accuracy=79.089349 loss=0.799668 lr=0.000782 Epoch[081] Batch [3599]/[3759] Speed: 132.063434 samples/sec accuracy=79.091146 loss=0.799547 lr=0.000781 Epoch[081] Batch [3649]/[3759] Speed: 136.956563 samples/sec accuracy=79.090325 loss=0.799712 lr=0.000780 Epoch[081] Batch [3699]/[3759] Speed: 126.527873 samples/sec accuracy=79.085304 loss=0.799921 lr=0.000778 Epoch[081] Batch [3749]/[3759] Speed: 154.893001 samples/sec accuracy=79.085000 loss=0.799856 lr=0.000777 Batch [0049]/[0303]: acc-top1=62.031250 acc-top5=83.906250 Batch [0099]/[0303]: acc-top1=61.312500 acc-top5=83.187500 Batch [0149]/[0303]: acc-top1=61.635417 acc-top5=83.250000 Batch [0199]/[0303]: acc-top1=61.476562 acc-top5=83.304688 Batch [0249]/[0303]: acc-top1=61.381250 acc-top5=83.156250 Batch [0299]/[0303]: acc-top1=61.505208 acc-top5=83.260417 [Epoch 081] training: accuracy=79.083533 loss=0.800081 [Epoch 081] speed: 131 samples/sec time cost: 2018.494330 [Epoch 081] validation: acc-top1=61.509901 acc-top5=83.276609 loss=1.914428 Epoch[082] Batch [0049]/[3760] Speed: 96.974834 samples/sec accuracy=79.718750 loss=0.778736 lr=0.000776 Epoch[082] Batch [0099]/[3760] Speed: 128.063618 samples/sec accuracy=79.343750 loss=0.802202 lr=0.000775 Epoch[082] Batch [0149]/[3760] Speed: 138.422852 samples/sec accuracy=79.968750 loss=0.774179 lr=0.000774 Epoch[082] Batch [0199]/[3760] Speed: 127.771047 samples/sec accuracy=80.062500 loss=0.768219 lr=0.000773 Epoch[082] Batch [0249]/[3760] Speed: 125.267362 samples/sec accuracy=79.912500 loss=0.773280 lr=0.000772 Epoch[082] Batch [0299]/[3760] Speed: 132.116208 samples/sec accuracy=79.984375 loss=0.771909 lr=0.000770 Epoch[082] Batch [0349]/[3760] Speed: 126.070335 samples/sec accuracy=79.861607 loss=0.776062 lr=0.000769 Epoch[082] Batch [0399]/[3760] Speed: 144.602511 samples/sec accuracy=79.773438 loss=0.778152 lr=0.000768 Epoch[082] Batch [0449]/[3760] Speed: 123.849028 samples/sec accuracy=79.590278 loss=0.783189 lr=0.000767 Epoch[082] Batch [0499]/[3760] Speed: 134.866366 samples/sec accuracy=79.528125 loss=0.784528 lr=0.000766 Epoch[082] Batch [0549]/[3760] Speed: 129.837675 samples/sec accuracy=79.576705 loss=0.782867 lr=0.000765 Epoch[082] Batch [0599]/[3760] Speed: 130.767613 samples/sec accuracy=79.703125 loss=0.778932 lr=0.000764 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accuracy=79.295625 loss=0.787969 lr=0.000722 Epoch[082] Batch [2549]/[3760] Speed: 141.482029 samples/sec accuracy=79.291054 loss=0.788099 lr=0.000721 Epoch[082] Batch [2599]/[3760] Speed: 125.194954 samples/sec accuracy=79.295072 loss=0.788366 lr=0.000720 Epoch[082] Batch [2649]/[3760] Speed: 137.515438 samples/sec accuracy=79.287146 loss=0.788483 lr=0.000719 Epoch[082] Batch [2699]/[3760] Speed: 122.324115 samples/sec accuracy=79.302083 loss=0.788583 lr=0.000718 Epoch[082] Batch [2749]/[3760] Speed: 137.559263 samples/sec accuracy=79.309659 loss=0.788406 lr=0.000717 Epoch[082] Batch [2799]/[3760] Speed: 126.420603 samples/sec accuracy=79.311384 loss=0.788532 lr=0.000716 Epoch[082] Batch [2849]/[3760] Speed: 139.039615 samples/sec accuracy=79.299890 loss=0.788842 lr=0.000715 Epoch[082] Batch [2899]/[3760] Speed: 130.062263 samples/sec accuracy=79.307112 loss=0.788292 lr=0.000714 Epoch[082] Batch [2949]/[3760] Speed: 138.763009 samples/sec accuracy=79.302436 loss=0.788354 lr=0.000712 Epoch[082] Batch [2999]/[3760] Speed: 125.355599 samples/sec accuracy=79.328125 loss=0.787633 lr=0.000711 Epoch[082] Batch [3049]/[3760] Speed: 137.551647 samples/sec accuracy=79.329918 loss=0.787819 lr=0.000710 Epoch[082] Batch [3099]/[3760] Speed: 123.471243 samples/sec accuracy=79.304435 loss=0.788425 lr=0.000709 Epoch[082] Batch [3149]/[3760] Speed: 142.929704 samples/sec accuracy=79.301587 loss=0.788390 lr=0.000708 Epoch[082] Batch [3199]/[3760] Speed: 123.335458 samples/sec accuracy=79.309570 loss=0.788106 lr=0.000707 Epoch[082] Batch [3249]/[3760] Speed: 134.188103 samples/sec accuracy=79.312981 loss=0.787826 lr=0.000706 Epoch[082] Batch [3299]/[3760] Speed: 127.075232 samples/sec accuracy=79.323864 loss=0.787303 lr=0.000705 Epoch[082] Batch [3349]/[3760] Speed: 131.605955 samples/sec accuracy=79.323694 loss=0.787302 lr=0.000704 Epoch[082] Batch [3399]/[3760] Speed: 127.269125 samples/sec accuracy=79.309743 loss=0.788028 lr=0.000703 Epoch[082] Batch [3449]/[3760] Speed: 131.274532 samples/sec accuracy=79.312047 loss=0.787470 lr=0.000702 Epoch[082] Batch [3499]/[3760] Speed: 140.703324 samples/sec accuracy=79.313393 loss=0.787747 lr=0.000701 Epoch[082] Batch [3549]/[3760] Speed: 118.656275 samples/sec accuracy=79.305458 loss=0.788118 lr=0.000700 Epoch[082] Batch [3599]/[3760] Speed: 142.962928 samples/sec accuracy=79.313802 loss=0.787621 lr=0.000699 Epoch[082] Batch [3649]/[3760] Speed: 119.016184 samples/sec accuracy=79.300942 loss=0.787912 lr=0.000697 Epoch[082] Batch [3699]/[3760] Speed: 144.055065 samples/sec accuracy=79.312922 loss=0.787754 lr=0.000696 Epoch[082] Batch [3749]/[3760] Speed: 146.649780 samples/sec accuracy=79.307500 loss=0.787784 lr=0.000695 Batch [0049]/[0303]: acc-top1=61.406250 acc-top5=83.968750 Batch [0099]/[0303]: acc-top1=61.031250 acc-top5=83.515625 Batch [0149]/[0303]: acc-top1=61.489583 acc-top5=83.500000 Batch [0199]/[0303]: acc-top1=61.367188 acc-top5=83.617188 Batch [0249]/[0303]: acc-top1=61.375000 acc-top5=83.537500 Batch [0299]/[0303]: acc-top1=61.515625 acc-top5=83.614583 [Epoch 082] training: accuracy=79.303108 loss=0.788023 [Epoch 082] speed: 131 samples/sec time cost: 2018.317316 [Epoch 082] validation: acc-top1=61.520215 acc-top5=83.606642 loss=1.906786 Epoch[083] Batch [0049]/[3760] Speed: 94.886436 samples/sec accuracy=80.187500 loss=0.752510 lr=0.000694 Epoch[083] Batch [0099]/[3760] Speed: 122.180104 samples/sec accuracy=80.328125 loss=0.741667 lr=0.000693 Epoch[083] Batch [0149]/[3760] Speed: 137.939759 samples/sec accuracy=80.177083 loss=0.743714 lr=0.000692 Epoch[083] Batch [0199]/[3760] Speed: 132.156826 samples/sec accuracy=80.195312 loss=0.748100 lr=0.000691 Epoch[083] Batch [0249]/[3760] Speed: 133.031751 samples/sec accuracy=80.150000 loss=0.746320 lr=0.000690 Epoch[083] Batch [0299]/[3760] Speed: 140.868561 samples/sec accuracy=80.036458 loss=0.749149 lr=0.000689 Epoch[083] Batch [0349]/[3760] Speed: 122.983713 samples/sec accuracy=80.017857 loss=0.754966 lr=0.000688 Epoch[083] 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samples/sec accuracy=80.040441 loss=0.758343 lr=0.000677 Epoch[083] Batch [0899]/[3760] Speed: 146.163562 samples/sec accuracy=80.005208 loss=0.759751 lr=0.000676 Epoch[083] Batch [0949]/[3760] Speed: 126.441297 samples/sec accuracy=80.001645 loss=0.760151 lr=0.000675 Epoch[083] Batch [0999]/[3760] Speed: 137.780377 samples/sec accuracy=80.025000 loss=0.760577 lr=0.000674 Epoch[083] Batch [1049]/[3760] Speed: 121.266304 samples/sec accuracy=79.956845 loss=0.762350 lr=0.000673 Epoch[083] Batch [1099]/[3760] Speed: 140.933603 samples/sec accuracy=79.965909 loss=0.761575 lr=0.000672 Epoch[083] Batch [1149]/[3760] Speed: 123.379169 samples/sec accuracy=80.023098 loss=0.760148 lr=0.000671 Epoch[083] Batch [1199]/[3760] Speed: 143.528441 samples/sec accuracy=80.009115 loss=0.761061 lr=0.000670 Epoch[083] Batch [1249]/[3760] Speed: 118.901432 samples/sec accuracy=80.003750 loss=0.761711 lr=0.000669 Epoch[083] Batch [1299]/[3760] Speed: 143.605708 samples/sec accuracy=79.966346 loss=0.763249 lr=0.000668 Epoch[083] Batch [1349]/[3760] Speed: 122.718107 samples/sec accuracy=79.961806 loss=0.763137 lr=0.000667 Epoch[083] Batch [1399]/[3760] Speed: 137.903368 samples/sec accuracy=79.920759 loss=0.764346 lr=0.000666 Epoch[083] Batch [1449]/[3760] Speed: 124.976096 samples/sec accuracy=79.856681 loss=0.766117 lr=0.000665 Epoch[083] Batch [1499]/[3760] Speed: 139.099791 samples/sec accuracy=79.850000 loss=0.766557 lr=0.000664 Epoch[083] Batch [1549]/[3760] Speed: 121.901892 samples/sec accuracy=79.866935 loss=0.766021 lr=0.000663 Epoch[083] Batch [1599]/[3760] Speed: 134.248037 samples/sec accuracy=79.871094 loss=0.766312 lr=0.000662 Epoch[083] Batch [1649]/[3760] Speed: 132.701369 samples/sec accuracy=79.853220 loss=0.766590 lr=0.000660 Epoch[083] Batch [1699]/[3760] Speed: 132.175516 samples/sec accuracy=79.821691 loss=0.767489 lr=0.000659 Epoch[083] Batch [1749]/[3760] Speed: 132.091226 samples/sec accuracy=79.771429 loss=0.768353 lr=0.000658 Epoch[083] Batch [1799]/[3760] Speed: 132.858470 samples/sec accuracy=79.790799 loss=0.768259 lr=0.000657 Epoch[083] Batch [1849]/[3760] Speed: 133.059563 samples/sec accuracy=79.753378 loss=0.768930 lr=0.000656 Epoch[083] Batch [1899]/[3760] Speed: 127.655133 samples/sec accuracy=79.748355 loss=0.768860 lr=0.000655 Epoch[083] Batch [1949]/[3760] Speed: 138.419505 samples/sec accuracy=79.764423 loss=0.768155 lr=0.000654 Epoch[083] Batch [1999]/[3760] Speed: 129.646858 samples/sec accuracy=79.793750 loss=0.767137 lr=0.000653 Epoch[083] Batch [2049]/[3760] Speed: 129.506639 samples/sec accuracy=79.782012 loss=0.768034 lr=0.000652 Epoch[083] Batch [2099]/[3760] Speed: 137.324629 samples/sec accuracy=79.747024 loss=0.769260 lr=0.000651 Epoch[083] Batch [2149]/[3760] Speed: 121.565944 samples/sec accuracy=79.749273 loss=0.769074 lr=0.000650 Epoch[083] Batch [2199]/[3760] Speed: 140.601288 samples/sec accuracy=79.779830 loss=0.768624 lr=0.000649 Epoch[083] Batch [2249]/[3760] Speed: 125.996088 samples/sec accuracy=79.754167 loss=0.768872 lr=0.000648 Epoch[083] Batch [2299]/[3760] Speed: 138.153962 samples/sec accuracy=79.751359 loss=0.768587 lr=0.000647 Epoch[083] Batch [2349]/[3760] Speed: 129.517978 samples/sec accuracy=79.755984 loss=0.768405 lr=0.000646 Epoch[083] Batch [2399]/[3760] Speed: 131.697893 samples/sec accuracy=79.759766 loss=0.768471 lr=0.000645 Epoch[083] Batch [2449]/[3760] Speed: 140.280654 samples/sec accuracy=79.771046 loss=0.768185 lr=0.000644 Epoch[083] Batch [2499]/[3760] Speed: 125.373539 samples/sec accuracy=79.781875 loss=0.767738 lr=0.000643 Epoch[083] Batch [2549]/[3760] Speed: 138.612308 samples/sec accuracy=79.762255 loss=0.768260 lr=0.000642 Epoch[083] Batch [2599]/[3760] Speed: 119.013558 samples/sec accuracy=79.777043 loss=0.768404 lr=0.000641 Epoch[083] Batch [2649]/[3760] Speed: 137.225476 samples/sec accuracy=79.761792 loss=0.769028 lr=0.000640 Epoch[083] Batch [2699]/[3760] Speed: 125.127486 samples/sec accuracy=79.767361 loss=0.768678 lr=0.000639 Epoch[083] Batch [2749]/[3760] Speed: 135.048945 samples/sec accuracy=79.755114 loss=0.769030 lr=0.000638 Epoch[083] Batch [2799]/[3760] Speed: 122.870140 samples/sec accuracy=79.771763 loss=0.768275 lr=0.000637 Epoch[083] Batch [2849]/[3760] Speed: 145.459896 samples/sec accuracy=79.786184 loss=0.767883 lr=0.000636 Epoch[083] Batch [2899]/[3760] Speed: 124.848097 samples/sec accuracy=79.795259 loss=0.767998 lr=0.000635 Epoch[083] Batch [2949]/[3760] Speed: 139.260516 samples/sec accuracy=79.822564 loss=0.767555 lr=0.000634 Epoch[083] Batch [2999]/[3760] Speed: 130.181424 samples/sec accuracy=79.803125 loss=0.768609 lr=0.000633 Epoch[083] Batch [3049]/[3760] Speed: 130.386019 samples/sec accuracy=79.788422 loss=0.769081 lr=0.000632 Epoch[083] Batch [3099]/[3760] Speed: 132.888766 samples/sec accuracy=79.808972 loss=0.768478 lr=0.000631 Epoch[083] Batch [3149]/[3760] Speed: 126.083672 samples/sec accuracy=79.797123 loss=0.769006 lr=0.000630 Epoch[083] Batch [3199]/[3760] Speed: 145.362047 samples/sec accuracy=79.788574 loss=0.769057 lr=0.000629 Epoch[083] Batch [3249]/[3760] Speed: 117.713205 samples/sec accuracy=79.812500 loss=0.768323 lr=0.000628 Epoch[083] Batch [3299]/[3760] Speed: 150.845435 samples/sec accuracy=79.818655 loss=0.768102 lr=0.000627 Epoch[083] Batch [3349]/[3760] Speed: 129.815754 samples/sec accuracy=79.806903 loss=0.768364 lr=0.000626 Epoch[083] Batch [3399]/[3760] Speed: 128.946652 samples/sec accuracy=79.799632 loss=0.768555 lr=0.000625 Epoch[083] Batch [3449]/[3760] Speed: 131.559312 samples/sec accuracy=79.788496 loss=0.769026 lr=0.000624 Epoch[083] Batch [3499]/[3760] Speed: 132.488733 samples/sec accuracy=79.785268 loss=0.768989 lr=0.000623 Epoch[083] Batch [3549]/[3760] Speed: 133.471741 samples/sec accuracy=79.787412 loss=0.769074 lr=0.000622 Epoch[083] Batch [3599]/[3760] Speed: 129.331348 samples/sec accuracy=79.788194 loss=0.769102 lr=0.000621 Epoch[083] Batch [3649]/[3760] Speed: 146.205874 samples/sec accuracy=79.777397 loss=0.769282 lr=0.000620 Epoch[083] Batch [3699]/[3760] Speed: 122.773909 samples/sec accuracy=79.765203 loss=0.769342 lr=0.000619 Epoch[083] Batch [3749]/[3760] Speed: 153.098478 samples/sec accuracy=79.755833 loss=0.769645 lr=0.000618 Batch [0049]/[0303]: acc-top1=62.531250 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=61.718750 acc-top5=83.250000 Batch [0149]/[0303]: acc-top1=62.041667 acc-top5=83.364583 Batch [0199]/[0303]: acc-top1=61.882812 acc-top5=83.554688 Batch [0249]/[0303]: acc-top1=61.806250 acc-top5=83.362500 Batch [0299]/[0303]: acc-top1=61.901042 acc-top5=83.458333 [Epoch 083] training: accuracy=79.753574 loss=0.769631 [Epoch 083] speed: 131 samples/sec time cost: 2016.294090 [Epoch 083] validation: acc-top1=61.912129 acc-top5=83.446782 loss=1.904309 Epoch[084] Batch [0049]/[3759] Speed: 96.893318 samples/sec accuracy=79.875000 loss=0.756144 lr=0.000616 Epoch[084] Batch [0099]/[3759] Speed: 137.376333 samples/sec accuracy=79.687500 loss=0.763709 lr=0.000615 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loss=0.761749 lr=0.000551 Epoch[084] Batch [3449]/[3759] Speed: 122.361841 samples/sec accuracy=80.021739 loss=0.761461 lr=0.000550 Epoch[084] Batch [3499]/[3759] Speed: 135.593751 samples/sec accuracy=80.007589 loss=0.762258 lr=0.000549 Epoch[084] Batch [3549]/[3759] Speed: 129.427001 samples/sec accuracy=80.015845 loss=0.761886 lr=0.000548 Epoch[084] Batch [3599]/[3759] Speed: 129.856219 samples/sec accuracy=80.017795 loss=0.762198 lr=0.000547 Epoch[084] Batch [3649]/[3759] Speed: 142.647000 samples/sec accuracy=80.023116 loss=0.762326 lr=0.000546 Epoch[084] Batch [3699]/[3759] Speed: 121.400368 samples/sec accuracy=80.013936 loss=0.762737 lr=0.000545 Epoch[084] Batch [3749]/[3759] Speed: 165.245244 samples/sec accuracy=80.016250 loss=0.762702 lr=0.000544 Batch [0049]/[0303]: acc-top1=61.937500 acc-top5=83.437500 Batch [0099]/[0303]: acc-top1=61.578125 acc-top5=83.031250 Batch [0149]/[0303]: acc-top1=61.937500 acc-top5=83.197917 Batch [0199]/[0303]: acc-top1=61.820312 acc-top5=83.234375 Batch [0249]/[0303]: acc-top1=61.725000 acc-top5=83.100000 Batch [0299]/[0303]: acc-top1=61.854167 acc-top5=83.250000 [Epoch 084] training: accuracy=80.013385 loss=0.762804 [Epoch 084] speed: 131 samples/sec time cost: 2014.205047 [Epoch 084] validation: acc-top1=61.881188 acc-top5=83.245668 loss=1.899659 Epoch[085] Batch [0049]/[3760] Speed: 95.072532 samples/sec accuracy=80.343750 loss=0.767472 lr=0.000543 Epoch[085] Batch [0099]/[3760] Speed: 129.449460 samples/sec accuracy=80.406250 loss=0.755418 lr=0.000542 Epoch[085] Batch [0149]/[3760] Speed: 139.534538 samples/sec accuracy=80.354167 loss=0.753602 lr=0.000541 Epoch[085] Batch [0199]/[3760] Speed: 123.397145 samples/sec accuracy=80.562500 loss=0.745244 lr=0.000540 Epoch[085] Batch [0249]/[3760] Speed: 134.749491 samples/sec accuracy=80.593750 loss=0.746352 lr=0.000539 Epoch[085] Batch [0299]/[3760] Speed: 129.099000 samples/sec accuracy=80.671875 loss=0.743230 lr=0.000538 Epoch[085] Batch [0349]/[3760] Speed: 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loss=0.745044 lr=0.000529 Epoch[085] Batch [0849]/[3760] Speed: 130.172859 samples/sec accuracy=80.659926 loss=0.746191 lr=0.000528 Epoch[085] Batch [0899]/[3760] Speed: 132.458434 samples/sec accuracy=80.583333 loss=0.748077 lr=0.000527 Epoch[085] Batch [0949]/[3760] Speed: 132.708548 samples/sec accuracy=80.549342 loss=0.750775 lr=0.000526 Epoch[085] Batch [0999]/[3760] Speed: 135.002078 samples/sec accuracy=80.559375 loss=0.749897 lr=0.000525 Epoch[085] Batch [1049]/[3760] Speed: 126.581962 samples/sec accuracy=80.510417 loss=0.750701 lr=0.000524 Epoch[085] Batch [1099]/[3760] Speed: 133.000871 samples/sec accuracy=80.541193 loss=0.749204 lr=0.000523 Epoch[085] Batch [1149]/[3760] Speed: 128.838294 samples/sec accuracy=80.531250 loss=0.748680 lr=0.000522 Epoch[085] Batch [1199]/[3760] Speed: 144.152183 samples/sec accuracy=80.498698 loss=0.748807 lr=0.000521 Epoch[085] Batch [1249]/[3760] Speed: 123.046544 samples/sec accuracy=80.483750 loss=0.749276 lr=0.000520 Epoch[085] Batch 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accuracy=80.394643 loss=0.750919 lr=0.000511 Epoch[085] Batch [1799]/[3760] Speed: 143.192179 samples/sec accuracy=80.381076 loss=0.750848 lr=0.000510 Epoch[085] Batch [1849]/[3760] Speed: 123.217868 samples/sec accuracy=80.381757 loss=0.751293 lr=0.000509 Epoch[085] Batch [1899]/[3760] Speed: 138.279345 samples/sec accuracy=80.369243 loss=0.752054 lr=0.000508 Epoch[085] Batch [1949]/[3760] Speed: 129.174581 samples/sec accuracy=80.385417 loss=0.751391 lr=0.000508 Epoch[085] Batch [1999]/[3760] Speed: 134.689797 samples/sec accuracy=80.400781 loss=0.751491 lr=0.000507 Epoch[085] Batch [2049]/[3760] Speed: 134.913340 samples/sec accuracy=80.349848 loss=0.753407 lr=0.000506 Epoch[085] Batch [2099]/[3760] Speed: 129.668731 samples/sec accuracy=80.352679 loss=0.753464 lr=0.000505 Epoch[085] Batch [2149]/[3760] Speed: 123.416541 samples/sec accuracy=80.334302 loss=0.753860 lr=0.000504 Epoch[085] Batch [2199]/[3760] Speed: 143.139705 samples/sec accuracy=80.335227 loss=0.754502 lr=0.000503 Epoch[085] Batch [2249]/[3760] Speed: 136.815209 samples/sec accuracy=80.315278 loss=0.755083 lr=0.000502 Epoch[085] Batch [2299]/[3760] Speed: 118.190749 samples/sec accuracy=80.303668 loss=0.755420 lr=0.000501 Epoch[085] Batch [2349]/[3760] Speed: 145.935461 samples/sec accuracy=80.310505 loss=0.755135 lr=0.000500 Epoch[085] Batch [2399]/[3760] Speed: 129.307239 samples/sec accuracy=80.295573 loss=0.755746 lr=0.000499 Epoch[085] Batch [2449]/[3760] Speed: 131.062845 samples/sec accuracy=80.302934 loss=0.755506 lr=0.000498 Epoch[085] Batch [2499]/[3760] Speed: 128.779398 samples/sec accuracy=80.284375 loss=0.755550 lr=0.000497 Epoch[085] Batch [2549]/[3760] Speed: 132.018267 samples/sec accuracy=80.319853 loss=0.754783 lr=0.000497 Epoch[085] Batch [2599]/[3760] Speed: 128.365370 samples/sec accuracy=80.344351 loss=0.753901 lr=0.000496 Epoch[085] Batch [2649]/[3760] Speed: 138.701455 samples/sec accuracy=80.363208 loss=0.753167 lr=0.000495 Epoch[085] Batch [2699]/[3760] Speed: 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loss=0.754106 lr=0.000486 Epoch[085] Batch [3199]/[3760] Speed: 122.298903 samples/sec accuracy=80.321289 loss=0.754447 lr=0.000485 Epoch[085] Batch [3249]/[3760] Speed: 143.276265 samples/sec accuracy=80.331250 loss=0.754146 lr=0.000484 Epoch[085] Batch [3299]/[3760] Speed: 136.028354 samples/sec accuracy=80.319602 loss=0.754334 lr=0.000483 Epoch[085] Batch [3349]/[3760] Speed: 123.778881 samples/sec accuracy=80.306437 loss=0.754637 lr=0.000482 Epoch[085] Batch [3399]/[3760] Speed: 134.913579 samples/sec accuracy=80.298713 loss=0.754983 lr=0.000481 Epoch[085] Batch [3449]/[3760] Speed: 124.178674 samples/sec accuracy=80.294837 loss=0.755276 lr=0.000480 Epoch[085] Batch [3499]/[3760] Speed: 145.726151 samples/sec accuracy=80.308036 loss=0.755031 lr=0.000479 Epoch[085] Batch [3549]/[3760] Speed: 118.863447 samples/sec accuracy=80.319102 loss=0.754619 lr=0.000479 Epoch[085] Batch [3599]/[3760] Speed: 147.081079 samples/sec accuracy=80.327257 loss=0.754381 lr=0.000478 Epoch[085] Batch [3649]/[3760] Speed: 115.327412 samples/sec accuracy=80.343322 loss=0.753833 lr=0.000477 Epoch[085] Batch [3699]/[3760] Speed: 156.987437 samples/sec accuracy=80.333615 loss=0.754133 lr=0.000476 Epoch[085] Batch [3749]/[3760] Speed: 137.095749 samples/sec accuracy=80.351667 loss=0.753423 lr=0.000475 Batch [0049]/[0303]: acc-top1=62.812500 acc-top5=83.750000 Batch [0099]/[0303]: acc-top1=61.734375 acc-top5=83.296875 Batch [0149]/[0303]: acc-top1=62.104167 acc-top5=83.364583 Batch [0199]/[0303]: acc-top1=61.976562 acc-top5=83.335938 Batch [0249]/[0303]: acc-top1=61.900000 acc-top5=83.268750 Batch [0299]/[0303]: acc-top1=62.057292 acc-top5=83.390625 [Epoch 085] training: accuracy=80.350316 loss=0.753441 [Epoch 085] speed: 131 samples/sec time cost: 2013.314402 [Epoch 085] validation: acc-top1=62.071988 acc-top5=83.384901 loss=1.895450 Epoch[086] Batch [0049]/[3760] Speed: 94.907419 samples/sec accuracy=79.406250 loss=0.802300 lr=0.000474 Epoch[086] Batch [0099]/[3760] Speed: 144.930516 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accuracy=80.443750 loss=0.744994 lr=0.000449 Epoch[086] Batch [1549]/[3760] Speed: 136.089529 samples/sec accuracy=80.428427 loss=0.746332 lr=0.000448 Epoch[086] Batch [1599]/[3760] Speed: 128.937626 samples/sec accuracy=80.471680 loss=0.744755 lr=0.000447 Epoch[086] Batch [1649]/[3760] Speed: 138.729422 samples/sec accuracy=80.419508 loss=0.746588 lr=0.000446 Epoch[086] Batch [1699]/[3760] Speed: 124.391495 samples/sec accuracy=80.435662 loss=0.745764 lr=0.000445 Epoch[086] Batch [1749]/[3760] Speed: 134.356596 samples/sec accuracy=80.416964 loss=0.746228 lr=0.000444 Epoch[086] Batch [1799]/[3760] Speed: 130.653221 samples/sec accuracy=80.438368 loss=0.745912 lr=0.000443 Epoch[086] Batch [1849]/[3760] Speed: 135.928365 samples/sec accuracy=80.436655 loss=0.745182 lr=0.000443 Epoch[086] Batch [1899]/[3760] Speed: 126.221524 samples/sec accuracy=80.411184 loss=0.745239 lr=0.000442 Epoch[086] Batch [1949]/[3760] Speed: 131.139560 samples/sec accuracy=80.435096 loss=0.744809 lr=0.000441 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loss=0.744859 lr=0.000425 Epoch[086] Batch [2949]/[3760] Speed: 131.898154 samples/sec accuracy=80.521716 loss=0.744176 lr=0.000424 Epoch[086] Batch [2999]/[3760] Speed: 132.777877 samples/sec accuracy=80.535938 loss=0.743605 lr=0.000423 Epoch[086] Batch [3049]/[3760] Speed: 131.687047 samples/sec accuracy=80.546107 loss=0.743489 lr=0.000422 Epoch[086] Batch [3099]/[3760] Speed: 128.534573 samples/sec accuracy=80.547883 loss=0.743419 lr=0.000421 Epoch[086] Batch [3149]/[3760] Speed: 131.332361 samples/sec accuracy=80.537202 loss=0.743543 lr=0.000420 Epoch[086] Batch [3199]/[3760] Speed: 133.749181 samples/sec accuracy=80.549805 loss=0.743074 lr=0.000420 Epoch[086] Batch [3249]/[3760] Speed: 125.914882 samples/sec accuracy=80.542788 loss=0.743049 lr=0.000419 Epoch[086] Batch [3299]/[3760] Speed: 137.502753 samples/sec accuracy=80.537405 loss=0.743036 lr=0.000418 Epoch[086] Batch [3349]/[3760] Speed: 130.084491 samples/sec accuracy=80.524720 loss=0.743296 lr=0.000417 Epoch[086] Batch 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acc-top5=83.531250 Batch [0199]/[0303]: acc-top1=61.984375 acc-top5=83.523438 Batch [0249]/[0303]: acc-top1=62.043750 acc-top5=83.431250 Batch [0299]/[0303]: acc-top1=62.151042 acc-top5=83.546875 [Epoch 086] training: accuracy=80.515293 loss=0.743536 [Epoch 086] speed: 131 samples/sec time cost: 2015.277607 [Epoch 086] validation: acc-top1=62.164810 acc-top5=83.534447 loss=1.890811 Epoch[087] Batch [0049]/[3759] Speed: 95.102814 samples/sec accuracy=81.656250 loss=0.714153 lr=0.000409 Epoch[087] Batch [0099]/[3759] Speed: 144.683040 samples/sec accuracy=81.328125 loss=0.725740 lr=0.000409 Epoch[087] Batch [0149]/[3759] Speed: 111.365033 samples/sec accuracy=80.989583 loss=0.741495 lr=0.000408 Epoch[087] Batch [0199]/[3759] Speed: 159.510821 samples/sec accuracy=80.796875 loss=0.739981 lr=0.000407 Epoch[087] Batch [0249]/[3759] Speed: 113.415701 samples/sec accuracy=80.762500 loss=0.738431 lr=0.000406 Epoch[087] Batch [0299]/[3759] Speed: 141.881498 samples/sec accuracy=80.697917 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accuracy=80.828750 loss=0.731257 lr=0.000390 Epoch[087] Batch [1299]/[3759] Speed: 138.718669 samples/sec accuracy=80.846154 loss=0.730993 lr=0.000389 Epoch[087] Batch [1349]/[3759] Speed: 138.254941 samples/sec accuracy=80.877315 loss=0.730238 lr=0.000388 Epoch[087] Batch [1399]/[3759] Speed: 129.420490 samples/sec accuracy=80.873884 loss=0.730374 lr=0.000387 Epoch[087] Batch [1449]/[3759] Speed: 132.072049 samples/sec accuracy=80.896552 loss=0.730369 lr=0.000387 Epoch[087] Batch [1499]/[3759] Speed: 128.558371 samples/sec accuracy=80.866667 loss=0.731102 lr=0.000386 Epoch[087] Batch [1549]/[3759] Speed: 133.929355 samples/sec accuracy=80.909274 loss=0.730391 lr=0.000385 Epoch[087] Batch [1599]/[3759] Speed: 122.427790 samples/sec accuracy=80.914062 loss=0.729862 lr=0.000384 Epoch[087] Batch [1649]/[3759] Speed: 149.620832 samples/sec accuracy=80.924242 loss=0.730149 lr=0.000383 Epoch[087] Batch [1699]/[3759] Speed: 117.949196 samples/sec accuracy=80.928309 loss=0.730286 lr=0.000383 Epoch[087] Batch [1749]/[3759] Speed: 144.376665 samples/sec accuracy=80.940179 loss=0.729780 lr=0.000382 Epoch[087] Batch [1799]/[3759] Speed: 127.878857 samples/sec accuracy=80.963542 loss=0.729147 lr=0.000381 Epoch[087] Batch [1849]/[3759] Speed: 132.500100 samples/sec accuracy=80.985642 loss=0.728204 lr=0.000380 Epoch[087] Batch [1899]/[3759] Speed: 128.499627 samples/sec accuracy=80.964638 loss=0.728244 lr=0.000379 Epoch[087] Batch [1949]/[3759] Speed: 131.799258 samples/sec accuracy=80.951122 loss=0.728060 lr=0.000379 Epoch[087] Batch [1999]/[3759] Speed: 141.541346 samples/sec accuracy=80.960156 loss=0.727961 lr=0.000378 Epoch[087] Batch [2049]/[3759] Speed: 121.018307 samples/sec accuracy=80.951220 loss=0.727807 lr=0.000377 Epoch[087] Batch [2099]/[3759] Speed: 142.383628 samples/sec accuracy=80.967262 loss=0.727974 lr=0.000376 Epoch[087] Batch [2149]/[3759] Speed: 128.866239 samples/sec accuracy=80.952762 loss=0.729120 lr=0.000375 Epoch[087] Batch [2199]/[3759] Speed: 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loss=0.729571 lr=0.000367 Epoch[087] Batch [2699]/[3759] Speed: 119.210408 samples/sec accuracy=80.916667 loss=0.730405 lr=0.000367 Epoch[087] Batch [2749]/[3759] Speed: 142.504564 samples/sec accuracy=80.914773 loss=0.730708 lr=0.000366 Epoch[087] Batch [2799]/[3759] Speed: 122.387062 samples/sec accuracy=80.901228 loss=0.730771 lr=0.000365 Epoch[087] Batch [2849]/[3759] Speed: 139.673256 samples/sec accuracy=80.893092 loss=0.730800 lr=0.000364 Epoch[087] Batch [2899]/[3759] Speed: 125.636796 samples/sec accuracy=80.866918 loss=0.731379 lr=0.000364 Epoch[087] Batch [2949]/[3759] Speed: 148.695406 samples/sec accuracy=80.851695 loss=0.731654 lr=0.000363 Epoch[087] Batch [2999]/[3759] Speed: 120.210276 samples/sec accuracy=80.839583 loss=0.731964 lr=0.000362 Epoch[087] Batch [3049]/[3759] Speed: 142.878591 samples/sec accuracy=80.834529 loss=0.732357 lr=0.000361 Epoch[087] Batch [3099]/[3759] Speed: 131.481011 samples/sec accuracy=80.810484 loss=0.733107 lr=0.000360 Epoch[087] Batch 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accuracy=80.798177 loss=0.733230 lr=0.000353 Epoch[087] Batch [3649]/[3759] Speed: 134.427744 samples/sec accuracy=80.793664 loss=0.733237 lr=0.000352 Epoch[087] Batch [3699]/[3759] Speed: 125.688506 samples/sec accuracy=80.804899 loss=0.732812 lr=0.000351 Epoch[087] Batch [3749]/[3759] Speed: 151.694637 samples/sec accuracy=80.807083 loss=0.732808 lr=0.000350 Batch [0049]/[0303]: acc-top1=61.687500 acc-top5=83.937500 Batch [0099]/[0303]: acc-top1=61.531250 acc-top5=83.515625 Batch [0149]/[0303]: acc-top1=62.062500 acc-top5=83.479167 Batch [0199]/[0303]: acc-top1=61.929688 acc-top5=83.500000 Batch [0249]/[0303]: acc-top1=61.943750 acc-top5=83.412500 Batch [0299]/[0303]: acc-top1=62.078125 acc-top5=83.489583 [Epoch 087] training: accuracy=80.804818 loss=0.732873 [Epoch 087] speed: 131 samples/sec time cost: 2015.103691 [Epoch 087] validation: acc-top1=62.082302 acc-top5=83.493193 loss=1.892632 Epoch[088] Batch [0049]/[3760] Speed: 95.670652 samples/sec accuracy=80.875000 loss=0.717121 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accuracy=81.033582 loss=0.724836 lr=0.000301 Epoch[088] Batch [3399]/[3760] Speed: 117.184434 samples/sec accuracy=81.021140 loss=0.725025 lr=0.000300 Epoch[088] Batch [3449]/[3760] Speed: 149.215734 samples/sec accuracy=81.023098 loss=0.725245 lr=0.000299 Epoch[088] Batch [3499]/[3760] Speed: 123.434055 samples/sec accuracy=81.021429 loss=0.725146 lr=0.000298 Epoch[088] Batch [3549]/[3760] Speed: 125.205647 samples/sec accuracy=81.030810 loss=0.724605 lr=0.000298 Epoch[088] Batch [3599]/[3760] Speed: 135.144860 samples/sec accuracy=81.032986 loss=0.724857 lr=0.000297 Epoch[088] Batch [3649]/[3760] Speed: 124.508611 samples/sec accuracy=81.035531 loss=0.724661 lr=0.000296 Epoch[088] Batch [3699]/[3760] Speed: 134.916710 samples/sec accuracy=81.026605 loss=0.725190 lr=0.000296 Epoch[088] Batch [3749]/[3760] Speed: 158.952268 samples/sec accuracy=81.026250 loss=0.725264 lr=0.000295 Batch [0049]/[0303]: acc-top1=61.875000 acc-top5=83.843750 Batch [0099]/[0303]: acc-top1=61.500000 acc-top5=83.328125 Batch [0149]/[0303]: acc-top1=61.885417 acc-top5=83.406250 Batch [0199]/[0303]: acc-top1=61.875000 acc-top5=83.445312 Batch [0249]/[0303]: acc-top1=61.843750 acc-top5=83.331250 Batch [0299]/[0303]: acc-top1=61.942708 acc-top5=83.453125 [Epoch 088] training: accuracy=81.021027 loss=0.725443 [Epoch 088] speed: 131 samples/sec time cost: 2016.526205 [Epoch 088] validation: acc-top1=61.948226 acc-top5=83.431312 loss=1.898998 Epoch[089] Batch [0049]/[3760] Speed: 94.569967 samples/sec accuracy=82.468750 loss=0.667356 lr=0.000294 Epoch[089] Batch [0099]/[3760] Speed: 150.159686 samples/sec accuracy=81.843750 loss=0.693939 lr=0.000293 Epoch[089] Batch [0149]/[3760] Speed: 116.907257 samples/sec accuracy=81.875000 loss=0.700661 lr=0.000293 Epoch[089] Batch [0199]/[3760] Speed: 147.687747 samples/sec accuracy=81.867188 loss=0.701413 lr=0.000292 Epoch[089] Batch [0249]/[3760] Speed: 122.747808 samples/sec accuracy=81.862500 loss=0.701071 lr=0.000291 Epoch[089] Batch 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accuracy=81.568750 loss=0.706475 lr=0.000284 Epoch[089] Batch [0799]/[3760] Speed: 126.130273 samples/sec accuracy=81.564453 loss=0.705343 lr=0.000284 Epoch[089] Batch [0849]/[3760] Speed: 139.623083 samples/sec accuracy=81.542279 loss=0.706405 lr=0.000283 Epoch[089] Batch [0899]/[3760] Speed: 135.315469 samples/sec accuracy=81.458333 loss=0.708035 lr=0.000282 Epoch[089] Batch [0949]/[3760] Speed: 132.066922 samples/sec accuracy=81.447368 loss=0.708491 lr=0.000281 Epoch[089] Batch [0999]/[3760] Speed: 124.175592 samples/sec accuracy=81.467188 loss=0.708627 lr=0.000281 Epoch[089] Batch [1049]/[3760] Speed: 141.442164 samples/sec accuracy=81.473214 loss=0.710077 lr=0.000280 Epoch[089] Batch [1099]/[3760] Speed: 131.186022 samples/sec accuracy=81.426136 loss=0.711437 lr=0.000279 Epoch[089] Batch [1149]/[3760] Speed: 128.961907 samples/sec accuracy=81.440217 loss=0.711515 lr=0.000279 Epoch[089] Batch [1199]/[3760] Speed: 129.733316 samples/sec accuracy=81.436198 loss=0.711249 lr=0.000278 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accuracy=81.289315 loss=0.716777 lr=0.000253 Epoch[089] Batch [3149]/[3760] Speed: 125.977555 samples/sec accuracy=81.297619 loss=0.716468 lr=0.000252 Epoch[089] Batch [3199]/[3760] Speed: 137.851710 samples/sec accuracy=81.296875 loss=0.716757 lr=0.000251 Epoch[089] Batch [3249]/[3760] Speed: 129.610432 samples/sec accuracy=81.307212 loss=0.716593 lr=0.000251 Epoch[089] Batch [3299]/[3760] Speed: 129.376492 samples/sec accuracy=81.298769 loss=0.716888 lr=0.000250 Epoch[089] Batch [3349]/[3760] Speed: 138.818298 samples/sec accuracy=81.284049 loss=0.717116 lr=0.000249 Epoch[089] Batch [3399]/[3760] Speed: 128.213102 samples/sec accuracy=81.298254 loss=0.717115 lr=0.000249 Epoch[089] Batch [3449]/[3760] Speed: 134.194142 samples/sec accuracy=81.291667 loss=0.717279 lr=0.000248 Epoch[089] Batch [3499]/[3760] Speed: 129.494051 samples/sec accuracy=81.286161 loss=0.717527 lr=0.000247 Epoch[089] Batch [3549]/[3760] Speed: 131.149369 samples/sec accuracy=81.279930 loss=0.717435 lr=0.000247 Epoch[089] Batch [3599]/[3760] Speed: 132.240485 samples/sec accuracy=81.279514 loss=0.717350 lr=0.000246 Epoch[089] Batch [3649]/[3760] Speed: 130.443845 samples/sec accuracy=81.291952 loss=0.717111 lr=0.000245 Epoch[089] Batch [3699]/[3760] Speed: 126.994944 samples/sec accuracy=81.291385 loss=0.716858 lr=0.000245 Epoch[089] Batch [3749]/[3760] Speed: 162.484522 samples/sec accuracy=81.283750 loss=0.717060 lr=0.000244 Batch [0049]/[0303]: acc-top1=62.031250 acc-top5=83.718750 Batch [0099]/[0303]: acc-top1=61.875000 acc-top5=83.468750 Batch [0149]/[0303]: acc-top1=62.156250 acc-top5=83.500000 Batch [0199]/[0303]: acc-top1=61.937500 acc-top5=83.546875 Batch [0249]/[0303]: acc-top1=61.856250 acc-top5=83.450000 Batch [0299]/[0303]: acc-top1=62.005208 acc-top5=83.552083 [Epoch 089] training: accuracy=81.289062 loss=0.716842 [Epoch 089] speed: 131 samples/sec time cost: 2015.563535 [Epoch 089] validation: acc-top1=62.020421 acc-top5=83.549917 loss=1.890062 Epoch[090] Batch [0049]/[3759] 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accuracy=81.603125 loss=0.707940 lr=0.000238 Epoch[090] Batch [0549]/[3759] Speed: 125.309370 samples/sec accuracy=81.607955 loss=0.710327 lr=0.000237 Epoch[090] Batch [0599]/[3759] Speed: 134.960803 samples/sec accuracy=81.695312 loss=0.708558 lr=0.000236 Epoch[090] Batch [0649]/[3759] Speed: 136.452961 samples/sec accuracy=81.677885 loss=0.707782 lr=0.000236 Epoch[090] Batch [0699]/[3759] Speed: 126.531483 samples/sec accuracy=81.705357 loss=0.707376 lr=0.000235 Epoch[090] Batch [0749]/[3759] Speed: 134.818617 samples/sec accuracy=81.591667 loss=0.709451 lr=0.000234 Epoch[090] Batch [0799]/[3759] Speed: 118.127773 samples/sec accuracy=81.570312 loss=0.710143 lr=0.000234 Epoch[090] Batch [0849]/[3759] Speed: 157.790439 samples/sec accuracy=81.661765 loss=0.708125 lr=0.000233 Epoch[090] Batch [0899]/[3759] Speed: 113.060806 samples/sec accuracy=81.729167 loss=0.707888 lr=0.000232 Epoch[090] Batch [0949]/[3759] Speed: 147.729377 samples/sec accuracy=81.756579 loss=0.706297 lr=0.000232 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loss=0.709233 lr=0.000220 Epoch[090] Batch [1949]/[3759] Speed: 132.353085 samples/sec accuracy=81.605769 loss=0.709393 lr=0.000219 Epoch[090] Batch [1999]/[3759] Speed: 133.341370 samples/sec accuracy=81.592188 loss=0.709012 lr=0.000219 Epoch[090] Batch [2049]/[3759] Speed: 130.827066 samples/sec accuracy=81.578506 loss=0.709386 lr=0.000218 Epoch[090] Batch [2099]/[3759] Speed: 131.945877 samples/sec accuracy=81.560268 loss=0.709510 lr=0.000218 Epoch[090] Batch [2149]/[3759] Speed: 137.343671 samples/sec accuracy=81.576308 loss=0.709087 lr=0.000217 Epoch[090] Batch [2199]/[3759] Speed: 127.610827 samples/sec accuracy=81.568182 loss=0.709034 lr=0.000216 Epoch[090] Batch [2249]/[3759] Speed: 127.383797 samples/sec accuracy=81.551389 loss=0.709470 lr=0.000216 Epoch[090] Batch [2299]/[3759] Speed: 123.475343 samples/sec accuracy=81.568614 loss=0.708764 lr=0.000215 Epoch[090] Batch [2349]/[3759] Speed: 151.726569 samples/sec accuracy=81.551862 loss=0.709017 lr=0.000215 Epoch[090] Batch 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accuracy=81.470395 loss=0.710652 lr=0.000209 Epoch[090] Batch [2899]/[3759] Speed: 121.654036 samples/sec accuracy=81.467672 loss=0.710931 lr=0.000208 Epoch[090] Batch [2949]/[3759] Speed: 151.172518 samples/sec accuracy=81.472987 loss=0.710619 lr=0.000207 Epoch[090] Batch [2999]/[3759] Speed: 115.963362 samples/sec accuracy=81.495312 loss=0.710150 lr=0.000207 Epoch[090] Batch [3049]/[3759] Speed: 146.237841 samples/sec accuracy=81.508197 loss=0.710054 lr=0.000206 Epoch[090] Batch [3099]/[3759] Speed: 120.222141 samples/sec accuracy=81.512097 loss=0.709986 lr=0.000206 Epoch[090] Batch [3149]/[3759] Speed: 144.644639 samples/sec accuracy=81.503472 loss=0.710371 lr=0.000205 Epoch[090] Batch [3199]/[3759] Speed: 119.320990 samples/sec accuracy=81.499512 loss=0.710169 lr=0.000204 Epoch[090] Batch [3249]/[3759] Speed: 140.295798 samples/sec accuracy=81.498077 loss=0.710580 lr=0.000204 Epoch[090] Batch [3299]/[3759] Speed: 121.139371 samples/sec accuracy=81.512784 loss=0.710079 lr=0.000203 Epoch[090] Batch [3349]/[3759] Speed: 144.128908 samples/sec accuracy=81.508396 loss=0.710204 lr=0.000203 Epoch[090] Batch [3399]/[3759] Speed: 120.540941 samples/sec accuracy=81.502298 loss=0.710404 lr=0.000202 Epoch[090] Batch [3449]/[3759] Speed: 146.535402 samples/sec accuracy=81.493659 loss=0.710465 lr=0.000201 Epoch[090] Batch [3499]/[3759] Speed: 117.369328 samples/sec accuracy=81.520982 loss=0.709497 lr=0.000201 Epoch[090] Batch [3549]/[3759] Speed: 140.913490 samples/sec accuracy=81.513204 loss=0.709674 lr=0.000200 Epoch[090] Batch [3599]/[3759] Speed: 118.612107 samples/sec accuracy=81.519097 loss=0.709354 lr=0.000200 Epoch[090] Batch [3649]/[3759] Speed: 146.456892 samples/sec accuracy=81.523545 loss=0.709116 lr=0.000199 Epoch[090] Batch [3699]/[3759] Speed: 127.190798 samples/sec accuracy=81.516892 loss=0.709300 lr=0.000199 Epoch[090] Batch [3749]/[3759] Speed: 151.919069 samples/sec accuracy=81.499583 loss=0.709490 lr=0.000198 Batch [0049]/[0303]: acc-top1=61.843750 acc-top5=84.031250 Batch [0099]/[0303]: acc-top1=61.656250 acc-top5=83.359375 Batch [0149]/[0303]: acc-top1=62.041667 acc-top5=83.520833 Batch [0199]/[0303]: acc-top1=61.906250 acc-top5=83.523438 Batch [0249]/[0303]: acc-top1=61.837500 acc-top5=83.412500 Batch [0299]/[0303]: acc-top1=61.979167 acc-top5=83.536458 [Epoch 090] training: accuracy=81.504389 loss=0.709367 [Epoch 090] speed: 131 samples/sec time cost: 2018.353530 [Epoch 090] validation: acc-top1=61.984323 acc-top5=83.529290 loss=1.890722 Epoch[091] Batch [0049]/[3760] Speed: 96.847405 samples/sec accuracy=80.687500 loss=0.730060 lr=0.000197 Epoch[091] Batch [0099]/[3760] Speed: 134.690785 samples/sec accuracy=81.468750 loss=0.696222 lr=0.000197 Epoch[091] Batch [0149]/[3760] Speed: 130.346210 samples/sec accuracy=81.458333 loss=0.701670 lr=0.000196 Epoch[091] Batch [0199]/[3760] Speed: 146.839706 samples/sec accuracy=81.640625 loss=0.699190 lr=0.000196 Epoch[091] Batch [0249]/[3760] Speed: 116.418323 samples/sec accuracy=81.750000 loss=0.698760 lr=0.000195 Epoch[091] Batch [0299]/[3760] Speed: 145.218505 samples/sec accuracy=81.677083 loss=0.701940 lr=0.000194 Epoch[091] Batch [0349]/[3760] Speed: 115.799866 samples/sec accuracy=81.750000 loss=0.701806 lr=0.000194 Epoch[091] Batch [0399]/[3760] Speed: 153.577662 samples/sec accuracy=81.714844 loss=0.702634 lr=0.000193 Epoch[091] Batch [0449]/[3760] Speed: 119.528810 samples/sec accuracy=81.649306 loss=0.704563 lr=0.000193 Epoch[091] Batch [0499]/[3760] Speed: 139.707432 samples/sec accuracy=81.631250 loss=0.703453 lr=0.000192 Epoch[091] Batch [0549]/[3760] Speed: 123.104333 samples/sec accuracy=81.715909 loss=0.701322 lr=0.000191 Epoch[091] Batch [0599]/[3760] Speed: 136.274496 samples/sec accuracy=81.809896 loss=0.699102 lr=0.000191 Epoch[091] Batch [0649]/[3760] Speed: 127.432961 samples/sec accuracy=81.757212 loss=0.699411 lr=0.000190 Epoch[091] Batch [0699]/[3760] Speed: 133.726397 samples/sec accuracy=81.790179 loss=0.696777 lr=0.000190 Epoch[091] Batch [0749]/[3760] Speed: 131.686715 samples/sec accuracy=81.785417 loss=0.697530 lr=0.000189 Epoch[091] Batch [0799]/[3760] Speed: 128.054228 samples/sec accuracy=81.875000 loss=0.695120 lr=0.000189 Epoch[091] Batch [0849]/[3760] Speed: 141.258269 samples/sec accuracy=81.858456 loss=0.696302 lr=0.000188 Epoch[091] Batch [0899]/[3760] Speed: 120.363153 samples/sec accuracy=81.857639 loss=0.697000 lr=0.000187 Epoch[091] Batch [0949]/[3760] Speed: 142.241100 samples/sec accuracy=81.805921 loss=0.699153 lr=0.000187 Epoch[091] Batch [0999]/[3760] Speed: 120.292548 samples/sec accuracy=81.831250 loss=0.698692 lr=0.000186 Epoch[091] Batch [1049]/[3760] Speed: 146.322221 samples/sec accuracy=81.827381 loss=0.698322 lr=0.000186 Epoch[091] Batch [1099]/[3760] Speed: 120.199586 samples/sec accuracy=81.789773 loss=0.699626 lr=0.000185 Epoch[091] Batch [1149]/[3760] Speed: 143.576859 samples/sec accuracy=81.794837 loss=0.699492 lr=0.000185 Epoch[091] Batch [1199]/[3760] Speed: 125.252005 samples/sec accuracy=81.777344 loss=0.700019 lr=0.000184 Epoch[091] Batch [1249]/[3760] Speed: 138.329204 samples/sec accuracy=81.763750 loss=0.700268 lr=0.000184 Epoch[091] Batch [1299]/[3760] Speed: 135.894276 samples/sec accuracy=81.772837 loss=0.699306 lr=0.000183 Epoch[091] Batch [1349]/[3760] Speed: 123.362965 samples/sec accuracy=81.807870 loss=0.698509 lr=0.000182 Epoch[091] Batch [1399]/[3760] Speed: 136.295116 samples/sec accuracy=81.856027 loss=0.698072 lr=0.000182 Epoch[091] Batch [1449]/[3760] Speed: 128.136310 samples/sec accuracy=81.839440 loss=0.698789 lr=0.000181 Epoch[091] Batch [1499]/[3760] Speed: 137.947100 samples/sec accuracy=81.854167 loss=0.698309 lr=0.000181 Epoch[091] Batch [1549]/[3760] Speed: 125.388402 samples/sec accuracy=81.878024 loss=0.698228 lr=0.000180 Epoch[091] Batch [1599]/[3760] Speed: 137.348129 samples/sec accuracy=81.835938 loss=0.699530 lr=0.000180 Epoch[091] Batch [1649]/[3760] Speed: 126.150284 samples/sec accuracy=81.832386 loss=0.699860 lr=0.000179 Epoch[091] Batch [1699]/[3760] Speed: 134.658880 samples/sec accuracy=81.821691 loss=0.700149 lr=0.000179 Epoch[091] Batch [1749]/[3760] Speed: 124.673929 samples/sec accuracy=81.842857 loss=0.699514 lr=0.000178 Epoch[091] Batch [1799]/[3760] Speed: 138.001130 samples/sec accuracy=81.847222 loss=0.699152 lr=0.000177 Epoch[091] Batch [1849]/[3760] Speed: 123.834478 samples/sec accuracy=81.840372 loss=0.699239 lr=0.000177 Epoch[091] Batch [1899]/[3760] Speed: 142.490813 samples/sec accuracy=81.860197 loss=0.698995 lr=0.000176 Epoch[091] Batch [1949]/[3760] Speed: 120.212665 samples/sec accuracy=81.828526 loss=0.699474 lr=0.000176 Epoch[091] Batch [1999]/[3760] Speed: 145.162825 samples/sec accuracy=81.808594 loss=0.699796 lr=0.000175 Epoch[091] Batch [2049]/[3760] Speed: 123.978138 samples/sec accuracy=81.794970 loss=0.700159 lr=0.000175 Epoch[091] Batch [2099]/[3760] Speed: 142.553859 samples/sec accuracy=81.789435 loss=0.700280 lr=0.000174 Epoch[091] Batch 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accuracy=81.757212 loss=0.700907 lr=0.000169 Epoch[091] Batch [2649]/[3760] Speed: 119.259605 samples/sec accuracy=81.737028 loss=0.701492 lr=0.000168 Epoch[091] Batch [2699]/[3760] Speed: 142.100648 samples/sec accuracy=81.735532 loss=0.701639 lr=0.000168 Epoch[091] Batch [2749]/[3760] Speed: 125.656624 samples/sec accuracy=81.746023 loss=0.700967 lr=0.000167 Epoch[091] Batch [2799]/[3760] Speed: 131.255788 samples/sec accuracy=81.742188 loss=0.700559 lr=0.000167 Epoch[091] Batch [2849]/[3760] Speed: 127.732929 samples/sec accuracy=81.742325 loss=0.700318 lr=0.000166 Epoch[091] Batch [2899]/[3760] Speed: 142.358582 samples/sec accuracy=81.740302 loss=0.700523 lr=0.000165 Epoch[091] Batch [2949]/[3760] Speed: 124.343788 samples/sec accuracy=81.746292 loss=0.700413 lr=0.000165 Epoch[091] Batch [2999]/[3760] Speed: 135.364026 samples/sec accuracy=81.747396 loss=0.700421 lr=0.000164 Epoch[091] Batch [3049]/[3760] Speed: 134.637390 samples/sec accuracy=81.734631 loss=0.700972 lr=0.000164 Epoch[091] Batch [3099]/[3760] Speed: 124.789553 samples/sec accuracy=81.738911 loss=0.700522 lr=0.000163 Epoch[091] Batch [3149]/[3760] Speed: 132.782850 samples/sec accuracy=81.726190 loss=0.701010 lr=0.000163 Epoch[091] Batch [3199]/[3760] Speed: 133.489047 samples/sec accuracy=81.713379 loss=0.701649 lr=0.000162 Epoch[091] Batch [3249]/[3760] Speed: 134.389674 samples/sec accuracy=81.733654 loss=0.701127 lr=0.000162 Epoch[091] Batch [3299]/[3760] Speed: 126.510655 samples/sec accuracy=81.740057 loss=0.700844 lr=0.000161 Epoch[091] Batch [3349]/[3760] Speed: 123.472079 samples/sec accuracy=81.721082 loss=0.701271 lr=0.000161 Epoch[091] Batch [3399]/[3760] Speed: 137.839389 samples/sec accuracy=81.716912 loss=0.701499 lr=0.000160 Epoch[091] Batch [3449]/[3760] Speed: 125.378335 samples/sec accuracy=81.725996 loss=0.701247 lr=0.000160 Epoch[091] Batch [3499]/[3760] Speed: 143.510957 samples/sec accuracy=81.727232 loss=0.701244 lr=0.000159 Epoch[091] Batch [3549]/[3760] Speed: 118.520756 samples/sec accuracy=81.731514 loss=0.701350 lr=0.000159 Epoch[091] Batch [3599]/[3760] Speed: 147.428189 samples/sec accuracy=81.722656 loss=0.701267 lr=0.000158 Epoch[091] Batch [3649]/[3760] Speed: 121.087421 samples/sec accuracy=81.714897 loss=0.701550 lr=0.000158 Epoch[091] Batch [3699]/[3760] Speed: 135.065635 samples/sec accuracy=81.710726 loss=0.701633 lr=0.000157 Epoch[091] Batch [3749]/[3760] Speed: 155.024782 samples/sec accuracy=81.710417 loss=0.702170 lr=0.000157 Batch [0049]/[0303]: acc-top1=62.437500 acc-top5=83.843750 Batch [0099]/[0303]: acc-top1=62.093750 acc-top5=83.609375 Batch [0149]/[0303]: acc-top1=62.291667 acc-top5=83.625000 Batch [0199]/[0303]: acc-top1=62.218750 acc-top5=83.640625 Batch [0249]/[0303]: acc-top1=62.193750 acc-top5=83.562500 Batch [0299]/[0303]: acc-top1=62.338542 acc-top5=83.671875 [Epoch 091] training: accuracy=81.710023 loss=0.702232 [Epoch 091] speed: 131 samples/sec time cost: 2018.738582 [Epoch 091] validation: acc-top1=62.350454 acc-top5=83.673680 loss=1.881786 Epoch[092] Batch [0049]/[3760] Speed: 96.677274 samples/sec accuracy=82.031250 loss=0.693207 lr=0.000156 Epoch[092] Batch [0099]/[3760] Speed: 144.588773 samples/sec accuracy=82.375000 loss=0.679850 lr=0.000155 Epoch[092] Batch [0149]/[3760] Speed: 113.333088 samples/sec accuracy=82.177083 loss=0.693250 lr=0.000155 Epoch[092] Batch [0199]/[3760] Speed: 150.407985 samples/sec accuracy=82.156250 loss=0.692039 lr=0.000154 Epoch[092] Batch [0249]/[3760] Speed: 117.451799 samples/sec accuracy=81.912500 loss=0.696803 lr=0.000154 Epoch[092] Batch [0299]/[3760] Speed: 145.964706 samples/sec accuracy=81.817708 loss=0.701438 lr=0.000153 Epoch[092] Batch [0349]/[3760] Speed: 121.182896 samples/sec accuracy=81.861607 loss=0.700243 lr=0.000153 Epoch[092] Batch [0399]/[3760] Speed: 140.446802 samples/sec accuracy=81.726562 loss=0.703060 lr=0.000152 Epoch[092] Batch [0449]/[3760] Speed: 130.152844 samples/sec accuracy=81.708333 loss=0.703215 lr=0.000152 Epoch[092] Batch [0499]/[3760] Speed: 130.343965 samples/sec accuracy=81.653125 loss=0.702200 lr=0.000151 Epoch[092] Batch [0549]/[3760] Speed: 134.711090 samples/sec accuracy=81.764205 loss=0.698668 lr=0.000151 Epoch[092] Batch [0599]/[3760] Speed: 127.187830 samples/sec accuracy=81.739583 loss=0.700802 lr=0.000150 Epoch[092] Batch [0649]/[3760] Speed: 127.762352 samples/sec accuracy=81.682692 loss=0.701520 lr=0.000150 Epoch[092] Batch [0699]/[3760] Speed: 133.640743 samples/sec accuracy=81.678571 loss=0.702535 lr=0.000149 Epoch[092] Batch [0749]/[3760] Speed: 141.903959 samples/sec accuracy=81.645833 loss=0.702773 lr=0.000149 Epoch[092] Batch [0799]/[3760] Speed: 125.510222 samples/sec accuracy=81.681641 loss=0.702259 lr=0.000148 Epoch[092] Batch [0849]/[3760] Speed: 131.543630 samples/sec accuracy=81.643382 loss=0.703355 lr=0.000148 Epoch[092] Batch [0899]/[3760] Speed: 139.205318 samples/sec accuracy=81.685764 loss=0.702183 lr=0.000147 Epoch[092] Batch [0949]/[3760] 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accuracy=81.837054 loss=0.699223 lr=0.000142 Epoch[092] Batch [1449]/[3760] Speed: 136.354329 samples/sec accuracy=81.838362 loss=0.699593 lr=0.000142 Epoch[092] Batch [1499]/[3760] Speed: 122.071922 samples/sec accuracy=81.802083 loss=0.700711 lr=0.000141 Epoch[092] Batch [1549]/[3760] Speed: 135.959469 samples/sec accuracy=81.803427 loss=0.701300 lr=0.000141 Epoch[092] Batch [1599]/[3760] Speed: 125.598534 samples/sec accuracy=81.808594 loss=0.701263 lr=0.000140 Epoch[092] Batch [1649]/[3760] Speed: 135.161560 samples/sec accuracy=81.819129 loss=0.701064 lr=0.000140 Epoch[092] Batch [1699]/[3760] Speed: 131.116437 samples/sec accuracy=81.843750 loss=0.700709 lr=0.000139 Epoch[092] Batch [1749]/[3760] Speed: 137.636496 samples/sec accuracy=81.875000 loss=0.699229 lr=0.000139 Epoch[092] Batch [1799]/[3760] Speed: 138.425929 samples/sec accuracy=81.870660 loss=0.699180 lr=0.000138 Epoch[092] Batch [1849]/[3760] Speed: 126.043217 samples/sec accuracy=81.862331 loss=0.699372 lr=0.000138 Epoch[092] Batch [1899]/[3760] Speed: 124.630932 samples/sec accuracy=81.886513 loss=0.698758 lr=0.000137 Epoch[092] Batch [1949]/[3760] Speed: 130.697812 samples/sec accuracy=81.890224 loss=0.698620 lr=0.000137 Epoch[092] Batch [1999]/[3760] Speed: 136.212276 samples/sec accuracy=81.893750 loss=0.698349 lr=0.000136 Epoch[092] Batch [2049]/[3760] Speed: 129.824681 samples/sec accuracy=81.884146 loss=0.698705 lr=0.000136 Epoch[092] Batch [2099]/[3760] Speed: 128.765166 samples/sec accuracy=81.865327 loss=0.699090 lr=0.000135 Epoch[092] Batch [2149]/[3760] Speed: 128.992960 samples/sec accuracy=81.878634 loss=0.698395 lr=0.000135 Epoch[092] Batch [2199]/[3760] Speed: 129.900597 samples/sec accuracy=81.897017 loss=0.698066 lr=0.000134 Epoch[092] Batch [2249]/[3760] Speed: 138.933797 samples/sec accuracy=81.900694 loss=0.698059 lr=0.000134 Epoch[092] Batch [2299]/[3760] Speed: 127.713928 samples/sec accuracy=81.887228 loss=0.698405 lr=0.000133 Epoch[092] Batch [2349]/[3760] Speed: 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loss=0.697141 lr=0.000129 Epoch[092] Batch [2849]/[3760] Speed: 129.431627 samples/sec accuracy=81.914474 loss=0.697137 lr=0.000128 Epoch[092] Batch [2899]/[3760] Speed: 136.191110 samples/sec accuracy=81.899246 loss=0.697477 lr=0.000128 Epoch[092] Batch [2949]/[3760] Speed: 130.564295 samples/sec accuracy=81.894068 loss=0.697536 lr=0.000127 Epoch[092] Batch [2999]/[3760] Speed: 126.460816 samples/sec accuracy=81.888542 loss=0.697521 lr=0.000127 Epoch[092] Batch [3049]/[3760] Speed: 139.391048 samples/sec accuracy=81.885246 loss=0.697446 lr=0.000126 Epoch[092] Batch [3099]/[3760] Speed: 124.211896 samples/sec accuracy=81.891129 loss=0.697383 lr=0.000126 Epoch[092] Batch [3149]/[3760] Speed: 134.611495 samples/sec accuracy=81.887401 loss=0.697910 lr=0.000125 Epoch[092] Batch [3199]/[3760] Speed: 131.986572 samples/sec accuracy=81.881836 loss=0.698157 lr=0.000125 Epoch[092] Batch [3249]/[3760] Speed: 131.151681 samples/sec accuracy=81.885096 loss=0.698238 lr=0.000125 Epoch[092] Batch [3299]/[3760] Speed: 127.058287 samples/sec accuracy=81.862689 loss=0.698868 lr=0.000124 Epoch[092] Batch [3349]/[3760] Speed: 136.104907 samples/sec accuracy=81.865672 loss=0.698975 lr=0.000124 Epoch[092] Batch [3399]/[3760] Speed: 124.731530 samples/sec accuracy=81.871783 loss=0.698751 lr=0.000123 Epoch[092] Batch [3449]/[3760] Speed: 143.478341 samples/sec accuracy=81.886775 loss=0.698076 lr=0.000123 Epoch[092] Batch [3499]/[3760] Speed: 128.040196 samples/sec accuracy=81.875446 loss=0.698286 lr=0.000122 Epoch[092] Batch [3549]/[3760] Speed: 125.829639 samples/sec accuracy=81.887324 loss=0.698127 lr=0.000122 Epoch[092] Batch [3599]/[3760] Speed: 134.458232 samples/sec accuracy=81.879774 loss=0.698042 lr=0.000121 Epoch[092] Batch [3649]/[3760] Speed: 133.051738 samples/sec accuracy=81.876284 loss=0.697903 lr=0.000121 Epoch[092] Batch [3699]/[3760] Speed: 125.652557 samples/sec accuracy=81.878378 loss=0.697811 lr=0.000120 Epoch[092] Batch [3749]/[3760] Speed: 159.255723 samples/sec accuracy=81.878333 loss=0.697971 lr=0.000120 Batch [0049]/[0303]: acc-top1=62.406250 acc-top5=83.562500 Batch [0099]/[0303]: acc-top1=61.968750 acc-top5=83.328125 Batch [0149]/[0303]: acc-top1=62.333333 acc-top5=83.458333 Batch [0199]/[0303]: acc-top1=62.234375 acc-top5=83.546875 Batch [0249]/[0303]: acc-top1=62.181250 acc-top5=83.462500 Batch [0299]/[0303]: acc-top1=62.281250 acc-top5=83.546875 [Epoch 092] training: accuracy=81.882896 loss=0.697756 [Epoch 092] speed: 131 samples/sec time cost: 2018.400370 [Epoch 092] validation: acc-top1=62.293729 acc-top5=83.549917 loss=1.887111 Epoch[093] Batch [0049]/[3759] Speed: 96.380691 samples/sec accuracy=81.312500 loss=0.710530 lr=0.000119 Epoch[093] Batch [0099]/[3759] Speed: 119.278105 samples/sec accuracy=81.984375 loss=0.697627 lr=0.000119 Epoch[093] Batch [0149]/[3759] Speed: 143.110743 samples/sec accuracy=81.916667 loss=0.701309 lr=0.000118 Epoch[093] Batch [0199]/[3759] Speed: 135.065210 samples/sec accuracy=81.820312 loss=0.700414 lr=0.000118 Epoch[093] Batch [0249]/[3759] Speed: 130.610116 samples/sec accuracy=81.918750 loss=0.694532 lr=0.000118 Epoch[093] Batch [0299]/[3759] Speed: 133.638825 samples/sec accuracy=81.854167 loss=0.697679 lr=0.000117 Epoch[093] Batch [0349]/[3759] Speed: 132.756571 samples/sec accuracy=81.535714 loss=0.707734 lr=0.000117 Epoch[093] Batch [0399]/[3759] Speed: 125.943396 samples/sec accuracy=81.468750 loss=0.710371 lr=0.000116 Epoch[093] Batch [0449]/[3759] Speed: 139.516975 samples/sec accuracy=81.458333 loss=0.709114 lr=0.000116 Epoch[093] Batch [0499]/[3759] Speed: 124.331728 samples/sec accuracy=81.540625 loss=0.707467 lr=0.000115 Epoch[093] Batch [0549]/[3759] Speed: 136.066822 samples/sec accuracy=81.588068 loss=0.706624 lr=0.000115 Epoch[093] Batch [0599]/[3759] Speed: 127.979068 samples/sec accuracy=81.679688 loss=0.701856 lr=0.000114 Epoch[093] Batch [0649]/[3759] Speed: 131.943247 samples/sec accuracy=81.598558 loss=0.705106 lr=0.000114 Epoch[093] Batch [0699]/[3759] Speed: 135.315700 samples/sec accuracy=81.654018 loss=0.702980 lr=0.000114 Epoch[093] Batch [0749]/[3759] Speed: 124.526817 samples/sec accuracy=81.620833 loss=0.702606 lr=0.000113 Epoch[093] Batch [0799]/[3759] Speed: 137.287400 samples/sec accuracy=81.693359 loss=0.700650 lr=0.000113 Epoch[093] Batch [0849]/[3759] Speed: 132.525142 samples/sec accuracy=81.773897 loss=0.699575 lr=0.000112 Epoch[093] Batch [0899]/[3759] Speed: 135.160577 samples/sec accuracy=81.769097 loss=0.700188 lr=0.000112 Epoch[093] Batch [0949]/[3759] Speed: 125.513846 samples/sec accuracy=81.774671 loss=0.699827 lr=0.000111 Epoch[093] Batch [0999]/[3759] Speed: 135.787405 samples/sec accuracy=81.785938 loss=0.700182 lr=0.000111 Epoch[093] Batch [1049]/[3759] Speed: 128.848364 samples/sec accuracy=81.796131 loss=0.700083 lr=0.000110 Epoch[093] Batch [1099]/[3759] Speed: 130.824096 samples/sec accuracy=81.826705 loss=0.698037 lr=0.000110 Epoch[093] Batch [1149]/[3759] Speed: 137.196332 samples/sec accuracy=81.824728 loss=0.698449 lr=0.000110 Epoch[093] Batch [1199]/[3759] Speed: 129.530954 samples/sec accuracy=81.851562 loss=0.698662 lr=0.000109 Epoch[093] Batch [1249]/[3759] Speed: 130.245909 samples/sec accuracy=81.893750 loss=0.696280 lr=0.000109 Epoch[093] Batch [1299]/[3759] Speed: 135.670248 samples/sec accuracy=81.889423 loss=0.695512 lr=0.000108 Epoch[093] Batch [1349]/[3759] Speed: 128.598975 samples/sec accuracy=81.909722 loss=0.694996 lr=0.000108 Epoch[093] Batch [1399]/[3759] Speed: 131.252432 samples/sec accuracy=81.909598 loss=0.694119 lr=0.000107 Epoch[093] Batch [1449]/[3759] Speed: 130.148688 samples/sec accuracy=81.922414 loss=0.693851 lr=0.000107 Epoch[093] Batch [1499]/[3759] Speed: 131.059977 samples/sec accuracy=81.903125 loss=0.694067 lr=0.000107 Epoch[093] Batch [1549]/[3759] Speed: 134.084321 samples/sec accuracy=81.886089 loss=0.694230 lr=0.000106 Epoch[093] Batch [1599]/[3759] Speed: 121.034188 samples/sec accuracy=81.877930 loss=0.694523 lr=0.000106 Epoch[093] Batch [1649]/[3759] Speed: 148.841761 samples/sec accuracy=81.877841 loss=0.693742 lr=0.000105 Epoch[093] Batch [1699]/[3759] Speed: 119.784151 samples/sec accuracy=81.892463 loss=0.694137 lr=0.000105 Epoch[093] Batch [1749]/[3759] Speed: 145.835898 samples/sec accuracy=81.925893 loss=0.693108 lr=0.000104 Epoch[093] Batch [1799]/[3759] Speed: 120.039765 samples/sec accuracy=81.945312 loss=0.691998 lr=0.000104 Epoch[093] Batch [1849]/[3759] Speed: 136.987875 samples/sec accuracy=81.928209 loss=0.692688 lr=0.000104 Epoch[093] Batch [1899]/[3759] Speed: 130.064732 samples/sec accuracy=81.906250 loss=0.693334 lr=0.000103 Epoch[093] Batch [1949]/[3759] Speed: 127.798038 samples/sec accuracy=81.907853 loss=0.693355 lr=0.000103 Epoch[093] Batch [1999]/[3759] Speed: 143.342007 samples/sec accuracy=81.897656 loss=0.693494 lr=0.000102 Epoch[093] Batch [2049]/[3759] Speed: 121.261998 samples/sec accuracy=81.929878 loss=0.692841 lr=0.000102 Epoch[093] Batch [2099]/[3759] Speed: 149.899078 samples/sec accuracy=81.915179 loss=0.693171 lr=0.000102 Epoch[093] Batch [2149]/[3759] Speed: 116.146478 samples/sec accuracy=81.918605 loss=0.692767 lr=0.000101 Epoch[093] Batch [2199]/[3759] Speed: 140.084417 samples/sec accuracy=81.897017 loss=0.693753 lr=0.000101 Epoch[093] Batch [2249]/[3759] Speed: 119.274002 samples/sec accuracy=81.896528 loss=0.693700 lr=0.000100 Epoch[093] Batch [2299]/[3759] Speed: 144.933675 samples/sec accuracy=81.898098 loss=0.693919 lr=0.000100 Epoch[093] Batch [2349]/[3759] Speed: 132.863486 samples/sec accuracy=81.888963 loss=0.694369 lr=0.000099 Epoch[093] Batch [2399]/[3759] Speed: 129.113483 samples/sec accuracy=81.893229 loss=0.694330 lr=0.000099 Epoch[093] Batch [2449]/[3759] Speed: 133.764875 samples/sec accuracy=81.899235 loss=0.694451 lr=0.000099 Epoch[093] Batch [2499]/[3759] Speed: 128.829410 samples/sec accuracy=81.896875 loss=0.694665 lr=0.000098 Epoch[093] Batch [2549]/[3759] Speed: 137.849053 samples/sec accuracy=81.914216 loss=0.694614 lr=0.000098 Epoch[093] Batch [2599]/[3759] Speed: 124.792204 samples/sec accuracy=81.923077 loss=0.694649 lr=0.000097 Epoch[093] Batch [2649]/[3759] Speed: 137.033096 samples/sec accuracy=81.925118 loss=0.694381 lr=0.000097 Epoch[093] Batch [2699]/[3759] Speed: 120.890365 samples/sec accuracy=81.923032 loss=0.694635 lr=0.000097 Epoch[093] Batch [2749]/[3759] Speed: 153.664024 samples/sec accuracy=81.913068 loss=0.694715 lr=0.000096 Epoch[093] Batch [2799]/[3759] Speed: 126.297971 samples/sec accuracy=81.925223 loss=0.694701 lr=0.000096 Epoch[093] Batch [2849]/[3759] Speed: 130.959780 samples/sec accuracy=81.932018 loss=0.694356 lr=0.000095 Epoch[093] Batch [2899]/[3759] Speed: 128.174058 samples/sec accuracy=81.934806 loss=0.694601 lr=0.000095 Epoch[093] Batch [2949]/[3759] Speed: 130.334445 samples/sec accuracy=81.917373 loss=0.695194 lr=0.000095 Epoch[093] Batch [2999]/[3759] Speed: 139.224855 samples/sec accuracy=81.904687 loss=0.694884 lr=0.000094 Epoch[093] Batch [3049]/[3759] Speed: 125.399925 samples/sec accuracy=81.899078 loss=0.694912 lr=0.000094 Epoch[093] Batch [3099]/[3759] Speed: 142.736539 samples/sec accuracy=81.895665 loss=0.695084 lr=0.000093 Epoch[093] Batch [3149]/[3759] Speed: 117.377754 samples/sec accuracy=81.897817 loss=0.694990 lr=0.000093 Epoch[093] Batch [3199]/[3759] Speed: 142.638591 samples/sec accuracy=81.915039 loss=0.694516 lr=0.000092 Epoch[093] Batch [3249]/[3759] Speed: 130.653696 samples/sec accuracy=81.919231 loss=0.694517 lr=0.000092 Epoch[093] Batch [3299]/[3759] Speed: 132.270174 samples/sec accuracy=81.897254 loss=0.695276 lr=0.000092 Epoch[093] Batch [3349]/[3759] Speed: 135.385886 samples/sec accuracy=81.907183 loss=0.694652 lr=0.000091 Epoch[093] Batch [3399]/[3759] Speed: 125.111281 samples/sec accuracy=81.903952 loss=0.694473 lr=0.000091 Epoch[093] Batch [3449]/[3759] Speed: 135.048540 samples/sec accuracy=81.914402 loss=0.694005 lr=0.000091 Epoch[093] Batch [3499]/[3759] Speed: 120.034525 samples/sec accuracy=81.912946 loss=0.694277 lr=0.000090 Epoch[093] Batch [3549]/[3759] Speed: 146.021533 samples/sec accuracy=81.922095 loss=0.694148 lr=0.000090 Epoch[093] Batch [3599]/[3759] Speed: 117.393778 samples/sec accuracy=81.928819 loss=0.694049 lr=0.000089 Epoch[093] Batch [3649]/[3759] Speed: 145.155219 samples/sec accuracy=81.944777 loss=0.693546 lr=0.000089 Epoch[093] Batch [3699]/[3759] Speed: 122.528354 samples/sec accuracy=81.953970 loss=0.693494 lr=0.000089 Epoch[093] Batch [3749]/[3759] Speed: 160.066298 samples/sec accuracy=81.950833 loss=0.693537 lr=0.000088 Batch [0049]/[0303]: acc-top1=62.187500 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=61.812500 acc-top5=83.437500 Batch [0149]/[0303]: acc-top1=62.208333 acc-top5=83.531250 Batch [0199]/[0303]: acc-top1=62.093750 acc-top5=83.585938 Batch [0249]/[0303]: acc-top1=62.068750 acc-top5=83.525000 Batch [0299]/[0303]: acc-top1=62.208333 acc-top5=83.651042 [Epoch 093] training: accuracy=81.949571 loss=0.693725 [Epoch 093] speed: 131 samples/sec time cost: 2016.498926 [Epoch 093] validation: acc-top1=62.200908 acc-top5=83.653053 loss=1.883216 Epoch[094] Batch [0049]/[3760] Speed: 94.249449 samples/sec accuracy=82.656250 loss=0.675738 lr=0.000088 Epoch[094] Batch [0099]/[3760] Speed: 131.711042 samples/sec accuracy=82.343750 loss=0.678639 lr=0.000087 Epoch[094] Batch [0149]/[3760] Speed: 128.756919 samples/sec accuracy=82.177083 loss=0.682596 lr=0.000087 Epoch[094] Batch [0199]/[3760] Speed: 156.792517 samples/sec accuracy=82.007812 loss=0.688347 lr=0.000087 Epoch[094] Batch [0249]/[3760] Speed: 117.615803 samples/sec accuracy=82.043750 loss=0.685416 lr=0.000086 Epoch[094] Batch [0299]/[3760] Speed: 143.750713 samples/sec accuracy=82.130208 loss=0.679849 lr=0.000086 Epoch[094] Batch [0349]/[3760] Speed: 116.869940 samples/sec accuracy=82.214286 loss=0.678168 lr=0.000085 Epoch[094] Batch [0399]/[3760] Speed: 139.685159 samples/sec accuracy=82.343750 loss=0.674633 lr=0.000085 Epoch[094] Batch [0449]/[3760] Speed: 124.683074 samples/sec accuracy=82.302083 loss=0.676541 lr=0.000085 Epoch[094] Batch [0499]/[3760] Speed: 139.405638 samples/sec accuracy=82.328125 loss=0.675378 lr=0.000084 Epoch[094] Batch [0549]/[3760] Speed: 126.109378 samples/sec accuracy=82.394886 loss=0.675706 lr=0.000084 Epoch[094] Batch [0599]/[3760] Speed: 143.266910 samples/sec accuracy=82.414062 loss=0.676330 lr=0.000083 Epoch[094] Batch [0649]/[3760] Speed: 124.745177 samples/sec accuracy=82.408654 loss=0.676556 lr=0.000083 Epoch[094] Batch [0699]/[3760] Speed: 142.110519 samples/sec accuracy=82.354911 loss=0.678596 lr=0.000083 Epoch[094] Batch [0749]/[3760] Speed: 119.330702 samples/sec accuracy=82.383333 loss=0.678167 lr=0.000082 Epoch[094] Batch [0799]/[3760] Speed: 143.288791 samples/sec accuracy=82.398438 loss=0.677809 lr=0.000082 Epoch[094] Batch [0849]/[3760] Speed: 127.664692 samples/sec accuracy=82.404412 loss=0.677557 lr=0.000082 Epoch[094] Batch [0899]/[3760] Speed: 136.709073 samples/sec accuracy=82.430556 loss=0.677641 lr=0.000081 Epoch[094] Batch [0949]/[3760] Speed: 123.782240 samples/sec accuracy=82.453947 loss=0.678040 lr=0.000081 Epoch[094] Batch [0999]/[3760] Speed: 135.806884 samples/sec accuracy=82.407813 loss=0.679152 lr=0.000080 Epoch[094] Batch [1049]/[3760] Speed: 129.701765 samples/sec accuracy=82.342262 loss=0.681104 lr=0.000080 Epoch[094] Batch [1099]/[3760] Speed: 141.002391 samples/sec accuracy=82.360795 loss=0.681567 lr=0.000080 Epoch[094] Batch [1149]/[3760] Speed: 125.496827 samples/sec accuracy=82.376359 loss=0.681253 lr=0.000079 Epoch[094] Batch [1199]/[3760] Speed: 136.176976 samples/sec accuracy=82.371094 loss=0.681078 lr=0.000079 Epoch[094] Batch [1249]/[3760] Speed: 128.807793 samples/sec accuracy=82.366250 loss=0.681361 lr=0.000079 Epoch[094] Batch [1299]/[3760] Speed: 135.288391 samples/sec accuracy=82.298077 loss=0.683858 lr=0.000078 Epoch[094] Batch [1349]/[3760] Speed: 124.551722 samples/sec accuracy=82.368056 loss=0.682051 lr=0.000078 Epoch[094] Batch [1399]/[3760] Speed: 128.521946 samples/sec accuracy=82.345982 loss=0.682632 lr=0.000077 Epoch[094] Batch [1449]/[3760] Speed: 138.803279 samples/sec accuracy=82.322198 loss=0.682916 lr=0.000077 Epoch[094] Batch [1499]/[3760] Speed: 121.807614 samples/sec accuracy=82.327083 loss=0.682817 lr=0.000077 Epoch[094] Batch [1549]/[3760] Speed: 145.807203 samples/sec accuracy=82.326613 loss=0.681969 lr=0.000076 Epoch[094] Batch [1599]/[3760] Speed: 126.791714 samples/sec accuracy=82.293945 loss=0.682888 lr=0.000076 Epoch[094] Batch [1649]/[3760] Speed: 128.952322 samples/sec accuracy=82.293561 loss=0.682132 lr=0.000076 Epoch[094] Batch [1699]/[3760] Speed: 128.935979 samples/sec accuracy=82.303309 loss=0.682162 lr=0.000075 Epoch[094] Batch [1749]/[3760] Speed: 131.843064 samples/sec accuracy=82.291071 loss=0.681677 lr=0.000075 Epoch[094] Batch [1799]/[3760] Speed: 133.035422 samples/sec accuracy=82.289931 loss=0.681987 lr=0.000075 Epoch[094] Batch [1849]/[3760] Speed: 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loss=0.684237 lr=0.000071 Epoch[094] Batch [2349]/[3760] Speed: 127.809089 samples/sec accuracy=82.235372 loss=0.684057 lr=0.000071 Epoch[094] Batch [2399]/[3760] Speed: 147.558185 samples/sec accuracy=82.227214 loss=0.684336 lr=0.000070 Epoch[094] Batch [2449]/[3760] Speed: 124.390891 samples/sec accuracy=82.193240 loss=0.685551 lr=0.000070 Epoch[094] Batch [2499]/[3760] Speed: 133.689007 samples/sec accuracy=82.193125 loss=0.685477 lr=0.000070 Epoch[094] Batch [2549]/[3760] Speed: 124.963034 samples/sec accuracy=82.167279 loss=0.685699 lr=0.000069 Epoch[094] Batch [2599]/[3760] Speed: 137.548396 samples/sec accuracy=82.163462 loss=0.686088 lr=0.000069 Epoch[094] Batch [2649]/[3760] Speed: 123.338429 samples/sec accuracy=82.156840 loss=0.686031 lr=0.000069 Epoch[094] Batch [2699]/[3760] Speed: 138.446002 samples/sec accuracy=82.153935 loss=0.686242 lr=0.000068 Epoch[094] Batch [2749]/[3760] Speed: 126.246279 samples/sec accuracy=82.171023 loss=0.685688 lr=0.000068 Epoch[094] Batch 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accuracy=82.149038 loss=0.687038 lr=0.000065 Epoch[094] Batch [3299]/[3760] Speed: 121.274230 samples/sec accuracy=82.153409 loss=0.686685 lr=0.000064 Epoch[094] Batch [3349]/[3760] Speed: 143.496914 samples/sec accuracy=82.145056 loss=0.687210 lr=0.000064 Epoch[094] Batch [3399]/[3760] Speed: 118.511556 samples/sec accuracy=82.127757 loss=0.687603 lr=0.000064 Epoch[094] Batch [3449]/[3760] Speed: 146.236762 samples/sec accuracy=82.137681 loss=0.687296 lr=0.000063 Epoch[094] Batch [3499]/[3760] Speed: 122.606263 samples/sec accuracy=82.115625 loss=0.688071 lr=0.000063 Epoch[094] Batch [3549]/[3760] Speed: 140.333507 samples/sec accuracy=82.110035 loss=0.688245 lr=0.000063 Epoch[094] Batch [3599]/[3760] Speed: 121.843890 samples/sec accuracy=82.114149 loss=0.688423 lr=0.000062 Epoch[094] Batch [3649]/[3760] Speed: 136.420184 samples/sec accuracy=82.102312 loss=0.688705 lr=0.000062 Epoch[094] Batch [3699]/[3760] Speed: 132.524568 samples/sec accuracy=82.102196 loss=0.688890 lr=0.000062 Epoch[094] Batch [3749]/[3760] Speed: 152.359712 samples/sec accuracy=82.097083 loss=0.688950 lr=0.000061 Batch [0049]/[0303]: acc-top1=62.218750 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=61.578125 acc-top5=83.296875 Batch [0149]/[0303]: acc-top1=61.968750 acc-top5=83.468750 Batch [0199]/[0303]: acc-top1=61.953125 acc-top5=83.500000 Batch [0249]/[0303]: acc-top1=61.931250 acc-top5=83.462500 Batch [0299]/[0303]: acc-top1=62.062500 acc-top5=83.531250 [Epoch 094] training: accuracy=82.089428 loss=0.689203 [Epoch 094] speed: 131 samples/sec time cost: 2019.214298 [Epoch 094] validation: acc-top1=62.087459 acc-top5=83.518977 loss=1.892237 Epoch[095] Batch [0049]/[3760] Speed: 96.368302 samples/sec accuracy=83.093750 loss=0.648481 lr=0.000061 Epoch[095] Batch [0099]/[3760] Speed: 149.854449 samples/sec accuracy=83.250000 loss=0.650360 lr=0.000060 Epoch[095] Batch [0149]/[3760] Speed: 112.229459 samples/sec accuracy=82.750000 loss=0.666426 lr=0.000060 Epoch[095] Batch [0199]/[3760] Speed: 158.137592 samples/sec accuracy=82.375000 loss=0.676783 lr=0.000060 Epoch[095] Batch [0249]/[3760] Speed: 113.600493 samples/sec accuracy=82.306250 loss=0.680044 lr=0.000060 Epoch[095] Batch [0299]/[3760] Speed: 151.167924 samples/sec accuracy=82.406250 loss=0.673819 lr=0.000059 Epoch[095] Batch [0349]/[3760] Speed: 116.375307 samples/sec accuracy=82.397321 loss=0.674919 lr=0.000059 Epoch[095] Batch [0399]/[3760] Speed: 150.263746 samples/sec accuracy=82.449219 loss=0.674431 lr=0.000059 Epoch[095] Batch [0449]/[3760] Speed: 114.872652 samples/sec accuracy=82.416667 loss=0.676252 lr=0.000058 Epoch[095] Batch [0499]/[3760] Speed: 147.735678 samples/sec accuracy=82.290625 loss=0.678659 lr=0.000058 Epoch[095] Batch [0549]/[3760] Speed: 118.627057 samples/sec accuracy=82.235795 loss=0.679292 lr=0.000058 Epoch[095] Batch [0599]/[3760] Speed: 140.249595 samples/sec accuracy=82.210938 loss=0.679032 lr=0.000057 Epoch[095] Batch [0649]/[3760] Speed: 128.549020 samples/sec accuracy=82.213942 loss=0.679933 lr=0.000057 Epoch[095] Batch [0699]/[3760] Speed: 129.879584 samples/sec accuracy=82.042411 loss=0.684072 lr=0.000057 Epoch[095] Batch [0749]/[3760] Speed: 131.883966 samples/sec accuracy=82.054167 loss=0.684283 lr=0.000056 Epoch[095] Batch [0799]/[3760] Speed: 126.617556 samples/sec accuracy=82.074219 loss=0.684775 lr=0.000056 Epoch[095] Batch [0849]/[3760] Speed: 134.631036 samples/sec accuracy=82.090074 loss=0.684607 lr=0.000056 Epoch[095] Batch [0899]/[3760] Speed: 129.337127 samples/sec accuracy=82.052083 loss=0.685733 lr=0.000055 Epoch[095] Batch [0949]/[3760] Speed: 133.501863 samples/sec accuracy=82.018092 loss=0.686573 lr=0.000055 Epoch[095] Batch [0999]/[3760] Speed: 126.234478 samples/sec accuracy=82.023438 loss=0.687639 lr=0.000055 Epoch[095] Batch [1049]/[3760] Speed: 130.861475 samples/sec accuracy=82.035714 loss=0.687006 lr=0.000054 Epoch[095] Batch [1099]/[3760] Speed: 121.754552 samples/sec accuracy=82.022727 loss=0.687969 lr=0.000054 Epoch[095] Batch [1149]/[3760] Speed: 146.389417 samples/sec accuracy=82.019022 loss=0.687999 lr=0.000054 Epoch[095] Batch [1199]/[3760] Speed: 125.273024 samples/sec accuracy=81.981771 loss=0.688832 lr=0.000054 Epoch[095] Batch [1249]/[3760] Speed: 137.647122 samples/sec accuracy=81.990000 loss=0.688446 lr=0.000053 Epoch[095] Batch [1299]/[3760] Speed: 130.309308 samples/sec accuracy=81.977163 loss=0.688737 lr=0.000053 Epoch[095] Batch [1349]/[3760] Speed: 128.315968 samples/sec accuracy=81.968750 loss=0.689308 lr=0.000053 Epoch[095] Batch [1399]/[3760] Speed: 138.936324 samples/sec accuracy=81.954241 loss=0.689197 lr=0.000052 Epoch[095] Batch [1449]/[3760] Speed: 123.736715 samples/sec accuracy=81.970905 loss=0.688725 lr=0.000052 Epoch[095] Batch [1499]/[3760] Speed: 139.705324 samples/sec accuracy=81.994792 loss=0.687046 lr=0.000052 Epoch[095] Batch [1549]/[3760] Speed: 125.947701 samples/sec accuracy=82.051411 loss=0.685603 lr=0.000051 Epoch[095] Batch [1599]/[3760] Speed: 139.604878 samples/sec accuracy=82.055664 loss=0.686129 lr=0.000051 Epoch[095] Batch [1649]/[3760] Speed: 125.132162 samples/sec accuracy=82.073864 loss=0.685741 lr=0.000051 Epoch[095] Batch [1699]/[3760] Speed: 138.532476 samples/sec accuracy=82.100184 loss=0.685237 lr=0.000051 Epoch[095] Batch [1749]/[3760] Speed: 122.632260 samples/sec accuracy=82.094643 loss=0.686062 lr=0.000050 Epoch[095] Batch [1799]/[3760] Speed: 140.070741 samples/sec accuracy=82.078993 loss=0.686524 lr=0.000050 Epoch[095] Batch [1849]/[3760] Speed: 121.886270 samples/sec accuracy=82.112331 loss=0.685794 lr=0.000050 Epoch[095] Batch [1899]/[3760] Speed: 143.301429 samples/sec accuracy=82.123355 loss=0.685189 lr=0.000049 Epoch[095] Batch [1949]/[3760] Speed: 128.733691 samples/sec accuracy=82.128205 loss=0.685256 lr=0.000049 Epoch[095] Batch [1999]/[3760] Speed: 129.586844 samples/sec accuracy=82.138281 loss=0.685423 lr=0.000049 Epoch[095] Batch [2049]/[3760] Speed: 134.871145 samples/sec accuracy=82.120427 loss=0.686363 lr=0.000049 Epoch[095] Batch [2099]/[3760] Speed: 127.061383 samples/sec accuracy=82.125000 loss=0.686454 lr=0.000048 Epoch[095] Batch [2149]/[3760] Speed: 142.473794 samples/sec accuracy=82.138081 loss=0.686176 lr=0.000048 Epoch[095] Batch [2199]/[3760] Speed: 123.376864 samples/sec accuracy=82.150568 loss=0.686269 lr=0.000048 Epoch[095] Batch [2249]/[3760] Speed: 131.804171 samples/sec accuracy=82.122222 loss=0.686968 lr=0.000047 Epoch[095] Batch [2299]/[3760] Speed: 134.683589 samples/sec accuracy=82.118207 loss=0.687169 lr=0.000047 Epoch[095] Batch [2349]/[3760] Speed: 135.669522 samples/sec accuracy=82.112367 loss=0.687147 lr=0.000047 Epoch[095] Batch [2399]/[3760] Speed: 124.375117 samples/sec accuracy=82.095703 loss=0.687536 lr=0.000047 Epoch[095] Batch [2449]/[3760] Speed: 134.163617 samples/sec accuracy=82.100128 loss=0.687347 lr=0.000046 Epoch[095] Batch [2499]/[3760] Speed: 127.317224 samples/sec accuracy=82.091875 loss=0.687586 lr=0.000046 Epoch[095] Batch [2549]/[3760] Speed: 133.815517 samples/sec accuracy=82.107843 loss=0.686874 lr=0.000046 Epoch[095] Batch [2599]/[3760] Speed: 127.767176 samples/sec accuracy=82.121995 loss=0.686513 lr=0.000045 Epoch[095] Batch [2649]/[3760] Speed: 135.654367 samples/sec accuracy=82.115566 loss=0.686261 lr=0.000045 Epoch[095] Batch [2699]/[3760] Speed: 127.484782 samples/sec accuracy=82.114583 loss=0.686381 lr=0.000045 Epoch[095] Batch [2749]/[3760] Speed: 134.639671 samples/sec accuracy=82.123864 loss=0.686411 lr=0.000045 Epoch[095] Batch [2799]/[3760] Speed: 131.336348 samples/sec accuracy=82.100446 loss=0.687078 lr=0.000044 Epoch[095] Batch [2849]/[3760] Speed: 129.717451 samples/sec accuracy=82.087719 loss=0.687372 lr=0.000044 Epoch[095] Batch [2899]/[3760] Speed: 138.036632 samples/sec accuracy=82.085668 loss=0.687748 lr=0.000044 Epoch[095] Batch [2949]/[3760] Speed: 123.137053 samples/sec accuracy=82.091631 loss=0.687601 lr=0.000043 Epoch[095] Batch [2999]/[3760] Speed: 145.979491 samples/sec accuracy=82.101562 loss=0.687592 lr=0.000043 Epoch[095] Batch [3049]/[3760] Speed: 117.516734 samples/sec accuracy=82.078893 loss=0.688130 lr=0.000043 Epoch[095] Batch [3099]/[3760] Speed: 149.023744 samples/sec accuracy=82.094758 loss=0.687545 lr=0.000043 Epoch[095] Batch [3149]/[3760] Speed: 120.565729 samples/sec accuracy=82.084325 loss=0.687537 lr=0.000042 Epoch[095] Batch [3199]/[3760] Speed: 135.569078 samples/sec accuracy=82.101562 loss=0.687175 lr=0.000042 Epoch[095] Batch [3249]/[3760] Speed: 124.678582 samples/sec accuracy=82.103365 loss=0.687147 lr=0.000042 Epoch[095] Batch [3299]/[3760] Speed: 132.749075 samples/sec accuracy=82.099905 loss=0.687123 lr=0.000042 Epoch[095] Batch [3349]/[3760] Speed: 134.566029 samples/sec accuracy=82.118470 loss=0.687244 lr=0.000041 Epoch[095] Batch [3399]/[3760] Speed: 124.749015 samples/sec accuracy=82.124081 loss=0.687188 lr=0.000041 Epoch[095] Batch [3449]/[3760] Speed: 143.360365 samples/sec accuracy=82.129529 loss=0.686921 lr=0.000041 Epoch[095] Batch [3499]/[3760] Speed: 130.729899 samples/sec accuracy=82.132143 loss=0.686664 lr=0.000040 Epoch[095] Batch [3549]/[3760] Speed: 125.067134 samples/sec accuracy=82.129401 loss=0.686785 lr=0.000040 Epoch[095] Batch [3599]/[3760] Speed: 136.433563 samples/sec accuracy=82.118490 loss=0.687031 lr=0.000040 Epoch[095] Batch [3649]/[3760] Speed: 131.623346 samples/sec accuracy=82.112158 loss=0.687183 lr=0.000040 Epoch[095] Batch [3699]/[3760] Speed: 133.815832 samples/sec accuracy=82.138091 loss=0.686342 lr=0.000039 Epoch[095] Batch [3749]/[3760] Speed: 147.591899 samples/sec accuracy=82.132083 loss=0.686500 lr=0.000039 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=83.843750 Batch [0099]/[0303]: acc-top1=62.000000 acc-top5=83.546875 Batch [0149]/[0303]: acc-top1=62.364583 acc-top5=83.572917 Batch [0199]/[0303]: acc-top1=62.296875 acc-top5=83.632812 Batch [0249]/[0303]: acc-top1=62.187500 acc-top5=83.568750 Batch [0299]/[0303]: acc-top1=62.291667 acc-top5=83.640625 [Epoch 095] training: accuracy=82.128075 loss=0.686559 [Epoch 095] speed: 131 samples/sec time cost: 2018.144140 [Epoch 095] validation: acc-top1=62.304043 acc-top5=83.632426 loss=1.875596 Epoch[096] Batch [0049]/[3759] Speed: 96.679449 samples/sec accuracy=83.875000 loss=0.648148 lr=0.000039 Epoch[096] Batch [0099]/[3759] Speed: 129.431363 samples/sec accuracy=82.984375 loss=0.664338 lr=0.000039 Epoch[096] Batch [0149]/[3759] Speed: 127.323894 samples/sec accuracy=82.427083 loss=0.678047 lr=0.000038 Epoch[096] Batch [0199]/[3759] Speed: 148.641282 samples/sec accuracy=82.187500 loss=0.685889 lr=0.000038 Epoch[096] Batch [0249]/[3759] Speed: 115.088887 samples/sec accuracy=82.350000 loss=0.683001 lr=0.000038 Epoch[096] Batch [0299]/[3759] Speed: 143.070802 samples/sec accuracy=82.390625 loss=0.683135 lr=0.000038 Epoch[096] Batch [0349]/[3759] Speed: 123.372099 samples/sec accuracy=82.410714 loss=0.682989 lr=0.000037 Epoch[096] Batch [0399]/[3759] Speed: 133.228595 samples/sec accuracy=82.468750 loss=0.681050 lr=0.000037 Epoch[096] Batch [0449]/[3759] Speed: 130.266522 samples/sec accuracy=82.489583 loss=0.680180 lr=0.000037 Epoch[096] Batch [0499]/[3759] Speed: 134.310059 samples/sec accuracy=82.468750 loss=0.678409 lr=0.000037 Epoch[096] Batch [0549]/[3759] Speed: 128.265207 samples/sec accuracy=82.468750 loss=0.680706 lr=0.000036 Epoch[096] Batch [0599]/[3759] Speed: 135.009074 samples/sec accuracy=82.455729 loss=0.680805 lr=0.000036 Epoch[096] Batch [0649]/[3759] Speed: 139.821353 samples/sec accuracy=82.418269 loss=0.682343 lr=0.000036 Epoch[096] Batch [0699]/[3759] Speed: 121.319980 samples/sec accuracy=82.274554 loss=0.685433 lr=0.000036 Epoch[096] Batch [0749]/[3759] Speed: 133.377534 samples/sec accuracy=82.268750 loss=0.686212 lr=0.000035 Epoch[096] Batch [0799]/[3759] Speed: 133.386627 samples/sec accuracy=82.267578 loss=0.686116 lr=0.000035 Epoch[096] Batch [0849]/[3759] Speed: 127.713697 samples/sec accuracy=82.137868 loss=0.689673 lr=0.000035 Epoch[096] Batch [0899]/[3759] Speed: 131.447592 samples/sec accuracy=82.083333 loss=0.690654 lr=0.000035 Epoch[096] Batch [0949]/[3759] Speed: 131.894619 samples/sec accuracy=82.105263 loss=0.690055 lr=0.000034 Epoch[096] Batch [0999]/[3759] Speed: 136.442130 samples/sec accuracy=82.076563 loss=0.690355 lr=0.000034 Epoch[096] Batch [1049]/[3759] Speed: 120.414307 samples/sec accuracy=82.055060 loss=0.689718 lr=0.000034 Epoch[096] Batch [1099]/[3759] Speed: 140.045684 samples/sec accuracy=82.073864 loss=0.689150 lr=0.000034 Epoch[096] Batch [1149]/[3759] Speed: 126.894017 samples/sec accuracy=82.089674 loss=0.687955 lr=0.000033 Epoch[096] Batch [1199]/[3759] Speed: 140.618913 samples/sec accuracy=82.083333 loss=0.687942 lr=0.000033 Epoch[096] Batch [1249]/[3759] Speed: 124.163596 samples/sec accuracy=82.073750 loss=0.688407 lr=0.000033 Epoch[096] Batch [1299]/[3759] Speed: 138.020343 samples/sec accuracy=82.072115 loss=0.688991 lr=0.000033 Epoch[096] Batch [1349]/[3759] Speed: 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loss=0.687273 lr=0.000030 Epoch[096] Batch [1849]/[3759] Speed: 140.182159 samples/sec accuracy=82.085304 loss=0.687230 lr=0.000030 Epoch[096] Batch [1899]/[3759] Speed: 130.797064 samples/sec accuracy=82.095395 loss=0.687485 lr=0.000030 Epoch[096] Batch [1949]/[3759] Speed: 135.259544 samples/sec accuracy=82.082532 loss=0.688175 lr=0.000030 Epoch[096] Batch [1999]/[3759] Speed: 126.933462 samples/sec accuracy=82.093750 loss=0.687746 lr=0.000029 Epoch[096] Batch [2049]/[3759] Speed: 129.757635 samples/sec accuracy=82.089939 loss=0.687530 lr=0.000029 Epoch[096] Batch [2099]/[3759] Speed: 142.192061 samples/sec accuracy=82.095238 loss=0.687141 lr=0.000029 Epoch[096] Batch [2149]/[3759] Speed: 119.915266 samples/sec accuracy=82.117006 loss=0.686057 lr=0.000029 Epoch[096] Batch [2199]/[3759] Speed: 140.361299 samples/sec accuracy=82.148438 loss=0.685177 lr=0.000028 Epoch[096] Batch [2249]/[3759] Speed: 128.678520 samples/sec accuracy=82.152778 loss=0.684729 lr=0.000028 Epoch[096] Batch 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accuracy=82.171591 loss=0.684903 lr=0.000026 Epoch[096] Batch [2799]/[3759] Speed: 123.303777 samples/sec accuracy=82.170201 loss=0.684753 lr=0.000026 Epoch[096] Batch [2849]/[3759] Speed: 134.597377 samples/sec accuracy=82.171601 loss=0.684953 lr=0.000026 Epoch[096] Batch [2899]/[3759] Speed: 128.737126 samples/sec accuracy=82.197198 loss=0.684439 lr=0.000025 Epoch[096] Batch [2949]/[3759] Speed: 135.607233 samples/sec accuracy=82.203919 loss=0.684587 lr=0.000025 Epoch[096] Batch [2999]/[3759] Speed: 126.445573 samples/sec accuracy=82.217708 loss=0.684366 lr=0.000025 Epoch[096] Batch [3049]/[3759] Speed: 132.865103 samples/sec accuracy=82.207480 loss=0.684592 lr=0.000025 Epoch[096] Batch [3099]/[3759] Speed: 140.361977 samples/sec accuracy=82.210181 loss=0.684627 lr=0.000025 Epoch[096] Batch [3149]/[3759] Speed: 124.408892 samples/sec accuracy=82.215774 loss=0.684452 lr=0.000024 Epoch[096] Batch [3199]/[3759] Speed: 142.273106 samples/sec accuracy=82.213379 loss=0.684835 lr=0.000024 Epoch[096] Batch [3249]/[3759] Speed: 122.841563 samples/sec accuracy=82.232212 loss=0.684098 lr=0.000024 Epoch[096] Batch [3299]/[3759] Speed: 138.265389 samples/sec accuracy=82.223958 loss=0.684383 lr=0.000024 Epoch[096] Batch [3349]/[3759] Speed: 117.633547 samples/sec accuracy=82.215951 loss=0.684376 lr=0.000024 Epoch[096] Batch [3399]/[3759] Speed: 157.845501 samples/sec accuracy=82.218290 loss=0.684234 lr=0.000023 Epoch[096] Batch [3449]/[3759] Speed: 113.725764 samples/sec accuracy=82.220562 loss=0.684200 lr=0.000023 Epoch[096] Batch [3499]/[3759] Speed: 150.403422 samples/sec accuracy=82.231250 loss=0.683899 lr=0.000023 Epoch[096] Batch [3549]/[3759] Speed: 119.751159 samples/sec accuracy=82.232835 loss=0.684146 lr=0.000023 Epoch[096] Batch [3599]/[3759] Speed: 136.695878 samples/sec accuracy=82.236545 loss=0.683903 lr=0.000023 Epoch[096] Batch [3649]/[3759] Speed: 132.351788 samples/sec accuracy=82.232877 loss=0.684176 lr=0.000022 Epoch[096] Batch [3699]/[3759] Speed: 119.882791 samples/sec accuracy=82.239865 loss=0.683728 lr=0.000022 Epoch[096] Batch [3749]/[3759] Speed: 167.135593 samples/sec accuracy=82.222917 loss=0.684008 lr=0.000022 Batch [0049]/[0303]: acc-top1=62.062500 acc-top5=84.125000 Batch [0099]/[0303]: acc-top1=61.750000 acc-top5=83.531250 Batch [0149]/[0303]: acc-top1=62.281250 acc-top5=83.614583 Batch [0199]/[0303]: acc-top1=62.226563 acc-top5=83.656250 Batch [0249]/[0303]: acc-top1=62.218750 acc-top5=83.512500 Batch [0299]/[0303]: acc-top1=62.343750 acc-top5=83.604167 [Epoch 096] training: accuracy=82.224744 loss=0.683983 [Epoch 096] speed: 131 samples/sec time cost: 2018.557984 [Epoch 096] validation: acc-top1=62.355611 acc-top5=83.596328 loss=1.887625 Epoch[097] Batch [0049]/[3760] Speed: 94.013017 samples/sec accuracy=81.906250 loss=0.677136 lr=0.000022 Epoch[097] Batch [0099]/[3760] Speed: 157.302309 samples/sec accuracy=81.671875 loss=0.687241 lr=0.000022 Epoch[097] Batch [0149]/[3760] Speed: 116.340402 samples/sec accuracy=81.635417 loss=0.697125 lr=0.000021 Epoch[097] Batch [0199]/[3760] Speed: 144.614564 samples/sec accuracy=81.945312 loss=0.693151 lr=0.000021 Epoch[097] Batch [0249]/[3760] Speed: 117.776060 samples/sec accuracy=81.918750 loss=0.694815 lr=0.000021 Epoch[097] Batch [0299]/[3760] Speed: 134.852259 samples/sec accuracy=81.880208 loss=0.697682 lr=0.000021 Epoch[097] Batch [0349]/[3760] Speed: 123.075648 samples/sec accuracy=81.941964 loss=0.691323 lr=0.000021 Epoch[097] Batch [0399]/[3760] Speed: 146.401201 samples/sec accuracy=82.136719 loss=0.685189 lr=0.000020 Epoch[097] Batch [0449]/[3760] Speed: 120.397968 samples/sec accuracy=82.128472 loss=0.687868 lr=0.000020 Epoch[097] Batch [0499]/[3760] Speed: 136.975843 samples/sec accuracy=82.150000 loss=0.685970 lr=0.000020 Epoch[097] Batch [0549]/[3760] Speed: 126.084278 samples/sec accuracy=82.113636 loss=0.688754 lr=0.000020 Epoch[097] Batch [0599]/[3760] Speed: 141.594519 samples/sec accuracy=82.091146 loss=0.687843 lr=0.000020 Epoch[097] Batch [0649]/[3760] Speed: 117.148536 samples/sec accuracy=82.127404 loss=0.686957 lr=0.000019 Epoch[097] Batch [0699]/[3760] Speed: 143.300882 samples/sec accuracy=82.066964 loss=0.687553 lr=0.000019 Epoch[097] Batch [0749]/[3760] Speed: 126.031965 samples/sec accuracy=82.125000 loss=0.685463 lr=0.000019 Epoch[097] Batch [0799]/[3760] Speed: 136.217376 samples/sec accuracy=82.125000 loss=0.683430 lr=0.000019 Epoch[097] Batch [0849]/[3760] Speed: 121.219626 samples/sec accuracy=82.136029 loss=0.683647 lr=0.000019 Epoch[097] Batch [0899]/[3760] Speed: 137.130418 samples/sec accuracy=82.102431 loss=0.683040 lr=0.000019 Epoch[097] Batch [0949]/[3760] Speed: 126.202899 samples/sec accuracy=82.143092 loss=0.682200 lr=0.000018 Epoch[097] Batch [0999]/[3760] Speed: 139.691212 samples/sec accuracy=82.154687 loss=0.682400 lr=0.000018 Epoch[097] Batch [1049]/[3760] Speed: 125.865054 samples/sec accuracy=82.148810 loss=0.682301 lr=0.000018 Epoch[097] Batch [1099]/[3760] Speed: 134.809917 samples/sec accuracy=82.154830 loss=0.681820 lr=0.000018 Epoch[097] Batch [1149]/[3760] Speed: 131.859992 samples/sec accuracy=82.172554 loss=0.682350 lr=0.000018 Epoch[097] Batch [1199]/[3760] Speed: 129.358319 samples/sec accuracy=82.154948 loss=0.682859 lr=0.000017 Epoch[097] Batch [1249]/[3760] Speed: 142.214526 samples/sec accuracy=82.163750 loss=0.682976 lr=0.000017 Epoch[097] Batch [1299]/[3760] Speed: 117.980632 samples/sec accuracy=82.159856 loss=0.684247 lr=0.000017 Epoch[097] Batch [1349]/[3760] Speed: 145.249588 samples/sec accuracy=82.177083 loss=0.684123 lr=0.000017 Epoch[097] Batch [1399]/[3760] Speed: 117.860026 samples/sec accuracy=82.203125 loss=0.683259 lr=0.000017 Epoch[097] Batch [1449]/[3760] Speed: 155.540567 samples/sec accuracy=82.198276 loss=0.684270 lr=0.000017 Epoch[097] Batch [1499]/[3760] Speed: 113.606849 samples/sec accuracy=82.180208 loss=0.684375 lr=0.000016 Epoch[097] Batch [1549]/[3760] Speed: 141.758210 samples/sec accuracy=82.170363 loss=0.684321 lr=0.000016 Epoch[097] Batch [1599]/[3760] Speed: 118.915316 samples/sec accuracy=82.201172 loss=0.683754 lr=0.000016 Epoch[097] Batch [1649]/[3760] Speed: 144.527972 samples/sec accuracy=82.180871 loss=0.684052 lr=0.000016 Epoch[097] Batch [1699]/[3760] Speed: 125.515634 samples/sec accuracy=82.181985 loss=0.684143 lr=0.000016 Epoch[097] Batch [1749]/[3760] Speed: 135.071310 samples/sec accuracy=82.183929 loss=0.683786 lr=0.000016 Epoch[097] Batch [1799]/[3760] Speed: 127.238170 samples/sec accuracy=82.195312 loss=0.683543 lr=0.000015 Epoch[097] Batch [1849]/[3760] Speed: 134.246279 samples/sec accuracy=82.203547 loss=0.683720 lr=0.000015 Epoch[097] Batch [1899]/[3760] Speed: 130.771094 samples/sec accuracy=82.200658 loss=0.683423 lr=0.000015 Epoch[097] Batch [1949]/[3760] Speed: 126.262987 samples/sec accuracy=82.211538 loss=0.682979 lr=0.000015 Epoch[097] Batch [1999]/[3760] Speed: 128.288448 samples/sec accuracy=82.214844 loss=0.683114 lr=0.000015 Epoch[097] Batch 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accuracy=82.202500 loss=0.683870 lr=0.000013 Epoch[097] Batch [2549]/[3760] Speed: 123.935839 samples/sec accuracy=82.223652 loss=0.683530 lr=0.000013 Epoch[097] Batch [2599]/[3760] Speed: 139.917443 samples/sec accuracy=82.225962 loss=0.683235 lr=0.000013 Epoch[097] Batch [2649]/[3760] Speed: 123.403229 samples/sec accuracy=82.202830 loss=0.683737 lr=0.000013 Epoch[097] Batch [2699]/[3760] Speed: 146.257338 samples/sec accuracy=82.213542 loss=0.683176 lr=0.000013 Epoch[097] Batch [2749]/[3760] Speed: 121.733806 samples/sec accuracy=82.212500 loss=0.683205 lr=0.000013 Epoch[097] Batch [2799]/[3760] Speed: 128.770582 samples/sec accuracy=82.218750 loss=0.683051 lr=0.000012 Epoch[097] Batch [2849]/[3760] Speed: 131.981041 samples/sec accuracy=82.207785 loss=0.683448 lr=0.000012 Epoch[097] Batch [2899]/[3760] Speed: 135.080747 samples/sec accuracy=82.223060 loss=0.683182 lr=0.000012 Epoch[097] Batch [2949]/[3760] Speed: 141.021656 samples/sec accuracy=82.226695 loss=0.683396 lr=0.000012 Epoch[097] Batch [2999]/[3760] Speed: 126.775079 samples/sec accuracy=82.208333 loss=0.683904 lr=0.000012 Epoch[097] Batch [3049]/[3760] Speed: 129.633286 samples/sec accuracy=82.221311 loss=0.683940 lr=0.000012 Epoch[097] Batch [3099]/[3760] Speed: 125.893593 samples/sec accuracy=82.217238 loss=0.683666 lr=0.000011 Epoch[097] Batch [3149]/[3760] Speed: 140.030344 samples/sec accuracy=82.212798 loss=0.683708 lr=0.000011 Epoch[097] Batch [3199]/[3760] Speed: 126.869502 samples/sec accuracy=82.208496 loss=0.683759 lr=0.000011 Epoch[097] Batch [3249]/[3760] Speed: 134.682281 samples/sec accuracy=82.205288 loss=0.683786 lr=0.000011 Epoch[097] Batch [3299]/[3760] Speed: 126.232741 samples/sec accuracy=82.204545 loss=0.683533 lr=0.000011 Epoch[097] Batch [3349]/[3760] Speed: 136.361896 samples/sec accuracy=82.206157 loss=0.683662 lr=0.000011 Epoch[097] Batch [3399]/[3760] Speed: 125.454137 samples/sec accuracy=82.198989 loss=0.683785 lr=0.000011 Epoch[097] Batch [3449]/[3760] Speed: 132.962847 samples/sec accuracy=82.177989 loss=0.684137 lr=0.000011 Epoch[097] Batch [3499]/[3760] Speed: 129.385664 samples/sec accuracy=82.172321 loss=0.683864 lr=0.000010 Epoch[097] Batch [3549]/[3760] Speed: 130.296328 samples/sec accuracy=82.161972 loss=0.684091 lr=0.000010 Epoch[097] Batch [3599]/[3760] Speed: 133.704569 samples/sec accuracy=82.171875 loss=0.683949 lr=0.000010 Epoch[097] Batch [3649]/[3760] Speed: 130.413648 samples/sec accuracy=82.161815 loss=0.683948 lr=0.000010 Epoch[097] Batch [3699]/[3760] Speed: 130.846683 samples/sec accuracy=82.164696 loss=0.683713 lr=0.000010 Epoch[097] Batch [3749]/[3760] Speed: 155.525910 samples/sec accuracy=82.157917 loss=0.683701 lr=0.000010 Batch [0049]/[0303]: acc-top1=62.343750 acc-top5=83.718750 Batch [0099]/[0303]: acc-top1=61.703125 acc-top5=83.562500 Batch [0149]/[0303]: acc-top1=62.156250 acc-top5=83.583333 Batch [0199]/[0303]: acc-top1=62.140625 acc-top5=83.601562 Batch [0249]/[0303]: acc-top1=62.081250 acc-top5=83.543750 Batch [0299]/[0303]: acc-top1=62.166667 acc-top5=83.656250 [Epoch 097] training: accuracy=82.163398 loss=0.683485 [Epoch 097] speed: 130 samples/sec time cost: 2020.976774 [Epoch 097] validation: acc-top1=62.185437 acc-top5=83.647896 loss=1.877176 Epoch[098] Batch [0049]/[3759] Speed: 95.667003 samples/sec accuracy=82.937500 loss=0.644687 lr=0.000010 Epoch[098] Batch [0099]/[3759] Speed: 150.398538 samples/sec accuracy=82.578125 loss=0.662594 lr=0.000009 Epoch[098] Batch [0149]/[3759] Speed: 110.453349 samples/sec accuracy=82.312500 loss=0.672335 lr=0.000009 Epoch[098] Batch [0199]/[3759] Speed: 156.644099 samples/sec accuracy=82.562500 loss=0.669716 lr=0.000009 Epoch[098] Batch [0249]/[3759] Speed: 115.309884 samples/sec accuracy=82.725000 loss=0.660700 lr=0.000009 Epoch[098] Batch [0299]/[3759] Speed: 141.828460 samples/sec accuracy=82.822917 loss=0.659527 lr=0.000009 Epoch[098] Batch [0349]/[3759] Speed: 119.143660 samples/sec accuracy=82.754464 loss=0.664532 lr=0.000009 Epoch[098] 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accuracy=82.263194 loss=0.680063 lr=0.000005 Epoch[098] Batch [2299]/[3759] Speed: 140.230221 samples/sec accuracy=82.226902 loss=0.680764 lr=0.000005 Epoch[098] Batch [2349]/[3759] Speed: 126.792211 samples/sec accuracy=82.236702 loss=0.680714 lr=0.000005 Epoch[098] Batch [2399]/[3759] Speed: 133.569446 samples/sec accuracy=82.256510 loss=0.680022 lr=0.000004 Epoch[098] Batch [2449]/[3759] Speed: 122.885331 samples/sec accuracy=82.243622 loss=0.680446 lr=0.000004 Epoch[098] Batch [2499]/[3759] Speed: 136.318443 samples/sec accuracy=82.213750 loss=0.681683 lr=0.000004 Epoch[098] Batch [2549]/[3759] Speed: 130.349126 samples/sec accuracy=82.233456 loss=0.681398 lr=0.000004 Epoch[098] Batch [2599]/[3759] Speed: 143.137441 samples/sec accuracy=82.217548 loss=0.681677 lr=0.000004 Epoch[098] Batch [2649]/[3759] Speed: 123.232297 samples/sec accuracy=82.201651 loss=0.682199 lr=0.000004 Epoch[098] Batch [2699]/[3759] Speed: 136.827125 samples/sec accuracy=82.202546 loss=0.682102 lr=0.000004 Epoch[098] Batch [2749]/[3759] Speed: 125.227092 samples/sec accuracy=82.209659 loss=0.681863 lr=0.000004 Epoch[098] Batch [2799]/[3759] Speed: 130.271633 samples/sec accuracy=82.208705 loss=0.681842 lr=0.000004 Epoch[098] Batch [2849]/[3759] Speed: 135.004619 samples/sec accuracy=82.216557 loss=0.681680 lr=0.000004 Epoch[098] Batch [2899]/[3759] Speed: 129.804413 samples/sec accuracy=82.215517 loss=0.682046 lr=0.000004 Epoch[098] Batch [2949]/[3759] Speed: 130.795628 samples/sec accuracy=82.228284 loss=0.681849 lr=0.000004 Epoch[098] Batch [2999]/[3759] Speed: 138.466596 samples/sec accuracy=82.218229 loss=0.682142 lr=0.000003 Epoch[098] Batch [3049]/[3759] Speed: 121.736038 samples/sec accuracy=82.225410 loss=0.682009 lr=0.000003 Epoch[098] Batch [3099]/[3759] Speed: 140.066914 samples/sec accuracy=82.209677 loss=0.682563 lr=0.000003 Epoch[098] Batch [3149]/[3759] Speed: 124.065351 samples/sec accuracy=82.216270 loss=0.681884 lr=0.000003 Epoch[098] Batch [3199]/[3759] Speed: 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loss=0.681701 lr=0.000003 Epoch[098] Batch [3699]/[3759] Speed: 123.073229 samples/sec accuracy=82.230152 loss=0.681657 lr=0.000002 Epoch[098] Batch [3749]/[3759] Speed: 162.319656 samples/sec accuracy=82.235417 loss=0.681351 lr=0.000002 Batch [0049]/[0303]: acc-top1=61.906250 acc-top5=83.718750 Batch [0099]/[0303]: acc-top1=61.671875 acc-top5=83.500000 Batch [0149]/[0303]: acc-top1=62.072917 acc-top5=83.552083 Batch [0199]/[0303]: acc-top1=62.085938 acc-top5=83.593750 Batch [0249]/[0303]: acc-top1=61.981250 acc-top5=83.500000 Batch [0299]/[0303]: acc-top1=62.177083 acc-top5=83.593750 [Epoch 098] training: accuracy=82.238045 loss=0.681295 [Epoch 098] speed: 131 samples/sec time cost: 2019.780868 [Epoch 098] validation: acc-top1=62.180281 acc-top5=83.591172 loss=1.895377 Epoch[099] Batch [0049]/[3760] Speed: 95.270352 samples/sec accuracy=80.750000 loss=0.728569 lr=0.000002 Epoch[099] Batch [0099]/[3760] Speed: 152.784729 samples/sec accuracy=81.843750 loss=0.705929 lr=0.000002 Epoch[099] Batch [0149]/[3760] Speed: 112.223779 samples/sec accuracy=82.437500 loss=0.689687 lr=0.000002 Epoch[099] Batch [0199]/[3760] Speed: 156.195702 samples/sec accuracy=82.320312 loss=0.691424 lr=0.000002 Epoch[099] Batch [0249]/[3760] Speed: 114.279933 samples/sec accuracy=82.312500 loss=0.683114 lr=0.000002 Epoch[099] Batch [0299]/[3760] Speed: 140.957645 samples/sec accuracy=82.187500 loss=0.684300 lr=0.000002 Epoch[099] Batch [0349]/[3760] Speed: 128.940858 samples/sec accuracy=82.348214 loss=0.679843 lr=0.000002 Epoch[099] Batch [0399]/[3760] Speed: 134.347440 samples/sec accuracy=82.343750 loss=0.680578 lr=0.000002 Epoch[099] Batch [0449]/[3760] Speed: 133.915870 samples/sec accuracy=82.434028 loss=0.676536 lr=0.000002 Epoch[099] Batch [0499]/[3760] Speed: 128.726872 samples/sec accuracy=82.368750 loss=0.677769 lr=0.000002 Epoch[099] Batch [0549]/[3760] Speed: 127.182806 samples/sec accuracy=82.250000 loss=0.681262 lr=0.000002 Epoch[099] Batch [0599]/[3760] Speed: 133.034283 samples/sec accuracy=82.315104 loss=0.682734 lr=0.000002 Epoch[099] Batch [0649]/[3760] Speed: 125.880329 samples/sec accuracy=82.329327 loss=0.682561 lr=0.000002 Epoch[099] Batch [0699]/[3760] Speed: 145.407585 samples/sec accuracy=82.258929 loss=0.684214 lr=0.000002 Epoch[099] Batch [0749]/[3760] Speed: 115.258496 samples/sec accuracy=82.264583 loss=0.683064 lr=0.000002 Epoch[099] Batch [0799]/[3760] Speed: 149.655066 samples/sec accuracy=82.251953 loss=0.684099 lr=0.000001 Epoch[099] Batch [0849]/[3760] Speed: 137.534069 samples/sec accuracy=82.174632 loss=0.685887 lr=0.000001 Epoch[099] Batch [0899]/[3760] Speed: 122.171125 samples/sec accuracy=82.163194 loss=0.686117 lr=0.000001 Epoch[099] Batch [0949]/[3760] Speed: 138.037860 samples/sec accuracy=82.157895 loss=0.685300 lr=0.000001 Epoch[099] Batch [0999]/[3760] Speed: 125.247452 samples/sec accuracy=82.145313 loss=0.686113 lr=0.000001 Epoch[099] Batch [1049]/[3760] Speed: 128.640082 samples/sec accuracy=82.162202 loss=0.685697 lr=0.000001 Epoch[099] Batch [1099]/[3760] Speed: 130.257391 samples/sec accuracy=82.143466 loss=0.686017 lr=0.000001 Epoch[099] Batch [1149]/[3760] Speed: 131.727535 samples/sec accuracy=82.157609 loss=0.684999 lr=0.000001 Epoch[099] Batch [1199]/[3760] Speed: 137.685062 samples/sec accuracy=82.152344 loss=0.685979 lr=0.000001 Epoch[099] Batch [1249]/[3760] Speed: 136.816656 samples/sec accuracy=82.200000 loss=0.684889 lr=0.000001 Epoch[099] Batch [1299]/[3760] Speed: 119.131041 samples/sec accuracy=82.239183 loss=0.683908 lr=0.000001 Epoch[099] Batch [1349]/[3760] Speed: 148.874059 samples/sec accuracy=82.243056 loss=0.683411 lr=0.000001 Epoch[099] Batch [1399]/[3760] Speed: 121.823698 samples/sec accuracy=82.244420 loss=0.682783 lr=0.000001 Epoch[099] Batch [1449]/[3760] Speed: 138.748973 samples/sec accuracy=82.247845 loss=0.682152 lr=0.000001 Epoch[099] Batch [1499]/[3760] Speed: 122.698537 samples/sec accuracy=82.250000 loss=0.682124 lr=0.000001 Epoch[099] Batch [1549]/[3760] Speed: 134.132164 samples/sec accuracy=82.246976 loss=0.681545 lr=0.000001 Epoch[099] Batch [1599]/[3760] Speed: 129.553543 samples/sec accuracy=82.233398 loss=0.682007 lr=0.000001 Epoch[099] Batch [1649]/[3760] Speed: 142.525521 samples/sec accuracy=82.245265 loss=0.681484 lr=0.000001 Epoch[099] Batch [1699]/[3760] Speed: 119.933996 samples/sec accuracy=82.289522 loss=0.680192 lr=0.000001 Epoch[099] Batch [1749]/[3760] Speed: 140.041705 samples/sec accuracy=82.323214 loss=0.678925 lr=0.000001 Epoch[099] Batch [1799]/[3760] Speed: 130.186730 samples/sec accuracy=82.306424 loss=0.680019 lr=0.000001 Epoch[099] Batch [1849]/[3760] Speed: 131.875936 samples/sec accuracy=82.294764 loss=0.680669 lr=0.000001 Epoch[099] Batch [1899]/[3760] Speed: 126.329559 samples/sec accuracy=82.291118 loss=0.680832 lr=0.000001 Epoch[099] Batch [1949]/[3760] Speed: 137.929815 samples/sec accuracy=82.298878 loss=0.680481 lr=0.000001 Epoch[099] Batch [1999]/[3760] Speed: 132.514426 samples/sec accuracy=82.302344 loss=0.680508 lr=0.000001 Epoch[099] Batch [2049]/[3760] Speed: 124.407508 samples/sec accuracy=82.307165 loss=0.680478 lr=0.000000 Epoch[099] Batch [2099]/[3760] Speed: 136.720178 samples/sec accuracy=82.278274 loss=0.681108 lr=0.000000 Epoch[099] Batch [2149]/[3760] Speed: 128.639634 samples/sec accuracy=82.277616 loss=0.680818 lr=0.000000 Epoch[099] Batch [2199]/[3760] Speed: 135.089186 samples/sec accuracy=82.273438 loss=0.681285 lr=0.000000 Epoch[099] Batch [2249]/[3760] Speed: 118.983175 samples/sec accuracy=82.259722 loss=0.681467 lr=0.000000 Epoch[099] Batch [2299]/[3760] Speed: 144.099025 samples/sec accuracy=82.239810 loss=0.681788 lr=0.000000 Epoch[099] Batch [2349]/[3760] Speed: 119.046710 samples/sec accuracy=82.255319 loss=0.681205 lr=0.000000 Epoch[099] Batch [2399]/[3760] Speed: 149.647235 samples/sec accuracy=82.263672 loss=0.680577 lr=0.000000 Epoch[099] Batch [2449]/[3760] Speed: 120.074635 samples/sec accuracy=82.265944 loss=0.680364 lr=0.000000 Epoch[099] Batch [2499]/[3760] Speed: 140.204527 samples/sec accuracy=82.252500 loss=0.680951 lr=0.000000 Epoch[099] Batch [2549]/[3760] Speed: 124.224912 samples/sec accuracy=82.269608 loss=0.680447 lr=0.000000 Epoch[099] Batch [2599]/[3760] Speed: 142.612561 samples/sec accuracy=82.240986 loss=0.681537 lr=0.000000 Epoch[099] Batch [2649]/[3760] Speed: 122.683483 samples/sec accuracy=82.251769 loss=0.681392 lr=0.000000 Epoch[099] Batch [2699]/[3760] Speed: 139.085285 samples/sec accuracy=82.265046 loss=0.680796 lr=0.000000 Epoch[099] Batch [2749]/[3760] Speed: 122.823361 samples/sec accuracy=82.255114 loss=0.681172 lr=0.000000 Epoch[099] Batch [2799]/[3760] Speed: 139.103188 samples/sec accuracy=82.248884 loss=0.681378 lr=0.000000 Epoch[099] Batch [2849]/[3760] Speed: 119.837892 samples/sec accuracy=82.231360 loss=0.681700 lr=0.000000 Epoch[099] Batch [2899]/[3760] Speed: 131.283089 samples/sec accuracy=82.247845 loss=0.681537 lr=0.000000 Epoch[099] Batch [2949]/[3760] Speed: 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loss=0.680666 lr=0.000000 Epoch[099] Batch [3449]/[3760] Speed: 136.187735 samples/sec accuracy=82.278080 loss=0.680657 lr=0.000000 Epoch[099] Batch [3499]/[3760] Speed: 130.789263 samples/sec accuracy=82.301786 loss=0.680162 lr=0.000000 Epoch[099] Batch [3549]/[3760] Speed: 137.000763 samples/sec accuracy=82.298856 loss=0.680224 lr=0.000000 Epoch[099] Batch [3599]/[3760] Speed: 123.697391 samples/sec accuracy=82.273003 loss=0.680669 lr=0.000000 Epoch[099] Batch [3649]/[3760] Speed: 140.615752 samples/sec accuracy=82.267551 loss=0.680800 lr=0.000000 Epoch[099] Batch [3699]/[3760] Speed: 123.865641 samples/sec accuracy=82.270270 loss=0.680854 lr=0.000000 Epoch[099] Batch [3749]/[3760] Speed: 158.908391 samples/sec accuracy=82.265833 loss=0.680698 lr=0.000000 Batch [0049]/[0303]: acc-top1=62.343750 acc-top5=83.906250 Batch [0099]/[0303]: acc-top1=61.750000 acc-top5=83.546875 Batch [0149]/[0303]: acc-top1=62.000000 acc-top5=83.583333 Batch [0199]/[0303]: acc-top1=62.039062 acc-top5=83.617188 Batch [0249]/[0303]: acc-top1=62.012500 acc-top5=83.562500 Batch [0299]/[0303]: acc-top1=62.182292 acc-top5=83.645833 [Epoch 099] training: accuracy=82.264378 loss=0.680693 [Epoch 099] speed: 131 samples/sec time cost: 2020.447856 [Epoch 099] validation: acc-top1=62.195751 acc-top5=83.627269 loss=1.886522