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December 7, 2016 02:56
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| INFO:root:Namespace(aug_level=2, batch_size=256, bn_mom=0.9, data_dir='data/imagenet', data_type='imagenet', depth=101, frequent=50, gpus='0,1,2,3,4,5,6,7', kv_store='device', list_dir='./', lr=0.1, memonger=False, model_load_epoch=0, mom=0.9, num_classes=1000, num_examples=1281167, retrain=False, wd=0.0001, workspace=512) | |
| [00:03:29] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: data/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [00:03:32] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: data/imagenet/val_256_q90.rec, use 4 threads for decoding.. | |
| INFO:root:Start training with [gpu(0), gpu(1), gpu(2), gpu(3), gpu(4), gpu(5), gpu(6), gpu(7)] | |
| INFO:root:Epoch[0] Batch [50] Speed: 136.63 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [50] Speed: 136.63 samples/sec Train-top_k_accuracy_5=0.006406 | |
| INFO:root:Epoch[0] Batch [100] Speed: 132.44 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [100] Speed: 132.44 samples/sec Train-top_k_accuracy_5=0.005625 | |
| INFO:root:Epoch[0] Batch [150] Speed: 132.99 samples/sec Train-accuracy=0.001719 | |
| INFO:root:Epoch[0] Batch [150] Speed: 132.99 samples/sec Train-top_k_accuracy_5=0.004531 | |
| INFO:root:Epoch[0] Batch [200] Speed: 133.82 samples/sec Train-accuracy=0.001250 | |
| INFO:root:Epoch[0] Batch [200] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.004609 | |
| INFO:root:Epoch[0] Batch [250] Speed: 133.59 samples/sec Train-accuracy=0.000625 | |
| INFO:root:Epoch[0] Batch [250] Speed: 133.59 samples/sec Train-top_k_accuracy_5=0.005547 | |
| INFO:root:Epoch[0] Batch [300] Speed: 133.30 samples/sec Train-accuracy=0.001016 | |
| INFO:root:Epoch[0] Batch [300] Speed: 133.30 samples/sec Train-top_k_accuracy_5=0.005000 | |
| INFO:root:Epoch[0] Batch [350] Speed: 132.87 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [350] Speed: 132.87 samples/sec Train-top_k_accuracy_5=0.005547 | |
| INFO:root:Epoch[0] Batch [400] Speed: 133.46 samples/sec Train-accuracy=0.001172 | |
| INFO:root:Epoch[0] Batch [400] Speed: 133.46 samples/sec Train-top_k_accuracy_5=0.005625 | |
| INFO:root:Epoch[0] Batch [450] Speed: 133.41 samples/sec Train-accuracy=0.001016 | |
| INFO:root:Epoch[0] Batch [450] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.004766 | |
| INFO:root:Epoch[0] Batch [500] Speed: 133.48 samples/sec Train-accuracy=0.000859 | |
| INFO:root:Epoch[0] Batch [500] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.005078 | |
| INFO:root:Epoch[0] Batch [550] Speed: 133.67 samples/sec Train-accuracy=0.001406 | |
| INFO:root:Epoch[0] Batch [550] Speed: 133.67 samples/sec Train-top_k_accuracy_5=0.008750 | |
| INFO:root:Epoch[0] Batch [600] Speed: 133.56 samples/sec Train-accuracy=0.001563 | |
| INFO:root:Epoch[0] Batch [600] Speed: 133.56 samples/sec Train-top_k_accuracy_5=0.007734 | |
| INFO:root:Epoch[0] Batch [650] Speed: 133.20 samples/sec Train-accuracy=0.001797 | |
| INFO:root:Epoch[0] Batch [650] Speed: 133.20 samples/sec Train-top_k_accuracy_5=0.008438 | |
| INFO:root:Epoch[0] Batch [700] Speed: 133.63 samples/sec Train-accuracy=0.001797 | |
| INFO:root:Epoch[0] Batch [700] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.008984 | |
| INFO:root:Epoch[0] Batch [750] Speed: 133.52 samples/sec Train-accuracy=0.002734 | |
| INFO:root:Epoch[0] Batch [750] Speed: 133.52 samples/sec Train-top_k_accuracy_5=0.010781 | |
| INFO:root:Epoch[0] Batch [800] Speed: 133.53 samples/sec Train-accuracy=0.003516 | |
| INFO:root:Epoch[0] Batch [800] Speed: 133.53 samples/sec Train-top_k_accuracy_5=0.011953 | |
| INFO:root:Epoch[0] Batch [850] Speed: 133.50 samples/sec Train-accuracy=0.003047 | |
| INFO:root:Epoch[0] Batch [850] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.014141 | |
| INFO:root:Epoch[0] Batch [900] Speed: 133.07 samples/sec Train-accuracy=0.001953 | |
| INFO:root:Epoch[0] Batch [900] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.013203 | |
| INFO:root:Epoch[0] Batch [950] Speed: 133.11 samples/sec Train-accuracy=0.003281 | |
| INFO:root:Epoch[0] Batch [950] Speed: 133.11 samples/sec Train-top_k_accuracy_5=0.014531 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 133.31 samples/sec Train-accuracy=0.004453 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.017109 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 133.47 samples/sec Train-accuracy=0.004141 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.017188 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 132.72 samples/sec Train-accuracy=0.004219 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 132.72 samples/sec Train-top_k_accuracy_5=0.016953 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 133.05 samples/sec Train-accuracy=0.003984 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 133.05 samples/sec Train-top_k_accuracy_5=0.018047 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 133.63 samples/sec Train-accuracy=0.004922 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.020078 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 133.24 samples/sec Train-accuracy=0.005078 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 133.24 samples/sec Train-top_k_accuracy_5=0.020781 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 133.48 samples/sec Train-accuracy=0.004063 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.020938 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 133.64 samples/sec Train-accuracy=0.005313 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.021719 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 133.77 samples/sec Train-accuracy=0.005313 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.024922 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 133.23 samples/sec Train-accuracy=0.006016 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 133.23 samples/sec Train-top_k_accuracy_5=0.029141 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 133.67 samples/sec Train-accuracy=0.005703 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 133.67 samples/sec Train-top_k_accuracy_5=0.028750 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 133.58 samples/sec Train-accuracy=0.007344 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 133.58 samples/sec Train-top_k_accuracy_5=0.031484 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 133.38 samples/sec Train-accuracy=0.008359 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 133.38 samples/sec Train-top_k_accuracy_5=0.035000 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 133.61 samples/sec Train-accuracy=0.007812 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 133.61 samples/sec Train-top_k_accuracy_5=0.033359 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 133.51 samples/sec Train-accuracy=0.008906 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.037187 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 133.50 samples/sec Train-accuracy=0.008516 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.041250 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 133.05 samples/sec Train-accuracy=0.009922 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 133.05 samples/sec Train-top_k_accuracy_5=0.040313 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 133.57 samples/sec Train-accuracy=0.010937 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.042188 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 133.29 samples/sec Train-accuracy=0.012266 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 133.29 samples/sec Train-top_k_accuracy_5=0.045000 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 133.16 samples/sec Train-accuracy=0.011875 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 133.16 samples/sec Train-top_k_accuracy_5=0.046953 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 133.42 samples/sec Train-accuracy=0.013359 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 133.42 samples/sec Train-top_k_accuracy_5=0.049609 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 133.44 samples/sec Train-accuracy=0.013047 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 133.44 samples/sec Train-top_k_accuracy_5=0.052109 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 133.31 samples/sec Train-accuracy=0.013281 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.055000 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 133.10 samples/sec Train-accuracy=0.015781 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 133.10 samples/sec Train-top_k_accuracy_5=0.059687 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 133.41 samples/sec Train-accuracy=0.016328 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.061953 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 133.17 samples/sec Train-accuracy=0.016484 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 133.17 samples/sec Train-top_k_accuracy_5=0.066250 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 133.39 samples/sec Train-accuracy=0.016797 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 133.39 samples/sec Train-top_k_accuracy_5=0.063594 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 133.30 samples/sec Train-accuracy=0.019219 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 133.30 samples/sec Train-top_k_accuracy_5=0.074531 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 133.56 samples/sec Train-accuracy=0.020859 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 133.56 samples/sec Train-top_k_accuracy_5=0.074297 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 133.55 samples/sec Train-accuracy=0.022266 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.076719 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 132.88 samples/sec Train-accuracy=0.023906 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 132.88 samples/sec Train-top_k_accuracy_5=0.080391 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 133.08 samples/sec Train-accuracy=0.023203 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 133.08 samples/sec Train-top_k_accuracy_5=0.080156 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 133.47 samples/sec Train-accuracy=0.022187 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.083437 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 132.93 samples/sec Train-accuracy=0.024844 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 132.93 samples/sec Train-top_k_accuracy_5=0.086484 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 132.78 samples/sec Train-accuracy=0.026797 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 132.78 samples/sec Train-top_k_accuracy_5=0.091094 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 133.45 samples/sec Train-accuracy=0.027266 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 133.45 samples/sec Train-top_k_accuracy_5=0.095000 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 133.19 samples/sec Train-accuracy=0.027109 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.097109 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 133.09 samples/sec Train-accuracy=0.031016 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 133.09 samples/sec Train-top_k_accuracy_5=0.105234 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 132.98 samples/sec Train-accuracy=0.032422 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 132.98 samples/sec Train-top_k_accuracy_5=0.102891 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 132.99 samples/sec Train-accuracy=0.034922 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 132.99 samples/sec Train-top_k_accuracy_5=0.109687 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 133.09 samples/sec Train-accuracy=0.032266 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 133.09 samples/sec Train-top_k_accuracy_5=0.107188 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 133.35 samples/sec Train-accuracy=0.036172 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 133.35 samples/sec Train-top_k_accuracy_5=0.115469 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 133.07 samples/sec Train-accuracy=0.036797 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.120703 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 133.21 samples/sec Train-accuracy=0.038906 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.123125 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 133.07 samples/sec Train-accuracy=0.037734 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.121016 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 133.23 samples/sec Train-accuracy=0.039375 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 133.23 samples/sec Train-top_k_accuracy_5=0.125781 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 133.15 samples/sec Train-accuracy=0.042734 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 133.15 samples/sec Train-top_k_accuracy_5=0.133750 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 133.44 samples/sec Train-accuracy=0.042813 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 133.44 samples/sec Train-top_k_accuracy_5=0.132422 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 133.25 samples/sec Train-accuracy=0.043516 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 133.25 samples/sec Train-top_k_accuracy_5=0.138359 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 132.90 samples/sec Train-accuracy=0.042500 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 132.90 samples/sec Train-top_k_accuracy_5=0.138828 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 132.36 samples/sec Train-accuracy=0.047344 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 132.36 samples/sec Train-top_k_accuracy_5=0.143203 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 133.27 samples/sec Train-accuracy=0.048359 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 133.27 samples/sec Train-top_k_accuracy_5=0.150469 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 132.82 samples/sec Train-accuracy=0.046562 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 132.82 samples/sec Train-top_k_accuracy_5=0.151250 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 133.24 samples/sec Train-accuracy=0.051953 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 133.24 samples/sec Train-top_k_accuracy_5=0.153203 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 132.83 samples/sec Train-accuracy=0.052891 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 132.83 samples/sec Train-top_k_accuracy_5=0.155859 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 133.33 samples/sec Train-accuracy=0.053984 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 133.33 samples/sec Train-top_k_accuracy_5=0.159453 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 133.03 samples/sec Train-accuracy=0.055078 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 133.03 samples/sec Train-top_k_accuracy_5=0.165234 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 132.88 samples/sec Train-accuracy=0.056094 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 132.88 samples/sec Train-top_k_accuracy_5=0.169375 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 133.37 samples/sec Train-accuracy=0.060781 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 133.37 samples/sec Train-top_k_accuracy_5=0.174922 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 133.32 samples/sec Train-accuracy=0.059219 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 133.32 samples/sec Train-top_k_accuracy_5=0.171641 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 133.27 samples/sec Train-accuracy=0.060859 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 133.27 samples/sec Train-top_k_accuracy_5=0.181328 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 133.25 samples/sec Train-accuracy=0.060234 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 133.25 samples/sec Train-top_k_accuracy_5=0.178281 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 132.94 samples/sec Train-accuracy=0.063359 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 132.94 samples/sec Train-top_k_accuracy_5=0.186094 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 133.13 samples/sec Train-accuracy=0.066250 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 133.13 samples/sec Train-top_k_accuracy_5=0.190391 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 132.94 samples/sec Train-accuracy=0.065078 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 132.94 samples/sec Train-top_k_accuracy_5=0.188438 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 133.34 samples/sec Train-accuracy=0.069922 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 133.34 samples/sec Train-top_k_accuracy_5=0.192031 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 132.95 samples/sec Train-accuracy=0.072031 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 132.95 samples/sec Train-top_k_accuracy_5=0.198984 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 133.00 samples/sec Train-accuracy=0.078203 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 133.00 samples/sec Train-top_k_accuracy_5=0.202656 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 132.99 samples/sec Train-accuracy=0.075469 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 132.99 samples/sec Train-top_k_accuracy_5=0.203125 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 133.10 samples/sec Train-accuracy=0.076328 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 133.10 samples/sec Train-top_k_accuracy_5=0.207266 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 133.09 samples/sec Train-accuracy=0.074922 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 133.09 samples/sec Train-top_k_accuracy_5=0.206484 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 133.31 samples/sec Train-accuracy=0.075547 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.213750 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 133.08 samples/sec Train-accuracy=0.080234 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 133.08 samples/sec Train-top_k_accuracy_5=0.213281 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 132.69 samples/sec Train-accuracy=0.079531 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 132.69 samples/sec Train-top_k_accuracy_5=0.215312 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 133.18 samples/sec Train-accuracy=0.082656 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 133.18 samples/sec Train-top_k_accuracy_5=0.220391 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 132.90 samples/sec Train-accuracy=0.085469 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 132.90 samples/sec Train-top_k_accuracy_5=0.229063 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 133.57 samples/sec Train-accuracy=0.087188 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.226875 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 133.18 samples/sec Train-accuracy=0.089844 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 133.18 samples/sec Train-top_k_accuracy_5=0.231797 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 132.99 samples/sec Train-accuracy=0.094766 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 132.99 samples/sec Train-top_k_accuracy_5=0.240234 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 133.04 samples/sec Train-accuracy=0.093281 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 133.04 samples/sec Train-top_k_accuracy_5=0.246641 | |
| INFO:root:Epoch[0] Batch [5000] Speed: 133.07 samples/sec Train-accuracy=0.092109 | |
| INFO:root:Epoch[0] Batch [5000] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.246094 | |
| INFO:root:Epoch[0] Resetting Data Iterator | |
| INFO:root:Epoch[0] Time cost=9650.256 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0001.params" | |
| INFO:root:Epoch[0] Validation-accuracy=0.110132 | |
| INFO:root:Epoch[0] Validation-top_k_accuracy_5=0.279197 | |
| INFO:root:Epoch[1] Batch [50] Speed: 135.75 samples/sec Train-accuracy=0.097891 | |
| INFO:root:Epoch[1] Batch [50] Speed: 135.75 samples/sec Train-top_k_accuracy_5=0.252422 | |
| INFO:root:Epoch[1] Batch [100] Speed: 133.37 samples/sec Train-accuracy=0.098047 | |
| INFO:root:Epoch[1] Batch [100] Speed: 133.37 samples/sec Train-top_k_accuracy_5=0.258359 | |
| INFO:root:Epoch[1] Batch [150] Speed: 133.23 samples/sec Train-accuracy=0.097812 | |
| INFO:root:Epoch[1] Batch [150] Speed: 133.23 samples/sec Train-top_k_accuracy_5=0.250469 | |
| INFO:root:Epoch[1] Batch [200] Speed: 133.41 samples/sec Train-accuracy=0.094219 | |
| INFO:root:Epoch[1] Batch [200] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.246875 | |
| INFO:root:Epoch[1] Batch [250] Speed: 132.93 samples/sec Train-accuracy=0.096094 | |
| INFO:root:Epoch[1] Batch [250] Speed: 132.93 samples/sec Train-top_k_accuracy_5=0.254453 | |
| INFO:root:Epoch[1] Batch [300] Speed: 133.11 samples/sec Train-accuracy=0.103438 | |
| INFO:root:Epoch[1] Batch [300] Speed: 133.11 samples/sec Train-top_k_accuracy_5=0.256797 | |
| INFO:root:Epoch[1] Batch [350] Speed: 133.42 samples/sec Train-accuracy=0.107500 | |
| INFO:root:Epoch[1] Batch [350] Speed: 133.42 samples/sec Train-top_k_accuracy_5=0.263594 | |
| INFO:root:Epoch[1] Batch [400] Speed: 132.81 samples/sec Train-accuracy=0.105078 | |
| INFO:root:Epoch[1] Batch [400] Speed: 132.81 samples/sec Train-top_k_accuracy_5=0.265703 | |
| INFO:root:Epoch[1] Batch [450] Speed: 133.20 samples/sec Train-accuracy=0.104922 | |
| INFO:root:Epoch[1] Batch [450] Speed: 133.20 samples/sec Train-top_k_accuracy_5=0.267500 | |
| INFO:root:Epoch[1] Batch [500] Speed: 132.54 samples/sec Train-accuracy=0.110234 | |
| INFO:root:Epoch[1] Batch [500] Speed: 132.54 samples/sec Train-top_k_accuracy_5=0.272656 | |
| INFO:root:Epoch[1] Batch [550] Speed: 132.88 samples/sec Train-accuracy=0.109687 | |
| INFO:root:Epoch[1] Batch [550] Speed: 132.88 samples/sec Train-top_k_accuracy_5=0.276641 | |
| INFO:root:Epoch[1] Batch [600] Speed: 133.12 samples/sec Train-accuracy=0.113828 | |
| INFO:root:Epoch[1] Batch [600] Speed: 133.12 samples/sec Train-top_k_accuracy_5=0.279219 | |
| INFO:root:Epoch[1] Batch [650] Speed: 132.91 samples/sec Train-accuracy=0.115547 | |
| INFO:root:Epoch[1] Batch [650] Speed: 132.91 samples/sec Train-top_k_accuracy_5=0.289531 | |
| INFO:root:Epoch[1] Batch [700] Speed: 133.16 samples/sec Train-accuracy=0.116406 | |
| INFO:root:Epoch[1] Batch [700] Speed: 133.16 samples/sec Train-top_k_accuracy_5=0.283984 | |
| INFO:root:Epoch[1] Batch [750] Speed: 133.21 samples/sec Train-accuracy=0.122891 | |
| INFO:root:Epoch[1] Batch [750] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.296719 | |
| INFO:root:Epoch[1] Batch [800] Speed: 133.24 samples/sec Train-accuracy=0.120078 | |
| INFO:root:Epoch[1] Batch [800] Speed: 133.24 samples/sec Train-top_k_accuracy_5=0.292734 | |
| INFO:root:Epoch[1] Batch [850] Speed: 133.11 samples/sec Train-accuracy=0.124766 | |
| INFO:root:Epoch[1] Batch [850] Speed: 133.11 samples/sec Train-top_k_accuracy_5=0.294687 | |
| INFO:root:Epoch[1] Batch [900] Speed: 133.21 samples/sec Train-accuracy=0.131562 | |
| INFO:root:Epoch[1] Batch [900] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.306484 | |
| INFO:root:Epoch[1] Batch [950] Speed: 132.98 samples/sec Train-accuracy=0.128906 | |
| INFO:root:Epoch[1] Batch [950] Speed: 132.98 samples/sec Train-top_k_accuracy_5=0.304609 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 133.12 samples/sec Train-accuracy=0.131172 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 133.12 samples/sec Train-top_k_accuracy_5=0.313281 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 133.44 samples/sec Train-accuracy=0.129453 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 133.44 samples/sec Train-top_k_accuracy_5=0.311953 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 132.98 samples/sec Train-accuracy=0.132500 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 132.98 samples/sec Train-top_k_accuracy_5=0.320391 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 133.23 samples/sec Train-accuracy=0.129531 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 133.23 samples/sec Train-top_k_accuracy_5=0.315156 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 132.89 samples/sec Train-accuracy=0.138594 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 132.89 samples/sec Train-top_k_accuracy_5=0.327031 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 133.21 samples/sec Train-accuracy=0.140000 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.323750 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 133.11 samples/sec Train-accuracy=0.137656 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 133.11 samples/sec Train-top_k_accuracy_5=0.325703 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 132.96 samples/sec Train-accuracy=0.139453 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 132.96 samples/sec Train-top_k_accuracy_5=0.323906 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 133.26 samples/sec Train-accuracy=0.143359 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 133.26 samples/sec Train-top_k_accuracy_5=0.332891 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 133.00 samples/sec Train-accuracy=0.149219 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 133.00 samples/sec Train-top_k_accuracy_5=0.340000 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 133.12 samples/sec Train-accuracy=0.141875 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 133.12 samples/sec Train-top_k_accuracy_5=0.330234 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 133.25 samples/sec Train-accuracy=0.151875 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 133.25 samples/sec Train-top_k_accuracy_5=0.340391 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 133.36 samples/sec Train-accuracy=0.148359 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 133.36 samples/sec Train-top_k_accuracy_5=0.340078 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 133.08 samples/sec Train-accuracy=0.156641 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 133.08 samples/sec Train-top_k_accuracy_5=0.345078 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 133.21 samples/sec Train-accuracy=0.151172 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.345234 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 132.99 samples/sec Train-accuracy=0.152578 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 132.99 samples/sec Train-top_k_accuracy_5=0.348359 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 133.20 samples/sec Train-accuracy=0.155781 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 133.20 samples/sec Train-top_k_accuracy_5=0.350938 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 133.30 samples/sec Train-accuracy=0.157734 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 133.30 samples/sec Train-top_k_accuracy_5=0.360391 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 133.19 samples/sec Train-accuracy=0.158984 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.348984 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 133.51 samples/sec Train-accuracy=0.160234 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.362500 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 133.47 samples/sec Train-accuracy=0.159844 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.352500 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 133.00 samples/sec Train-accuracy=0.162266 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 133.00 samples/sec Train-top_k_accuracy_5=0.364141 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 133.18 samples/sec Train-accuracy=0.165781 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 133.18 samples/sec Train-top_k_accuracy_5=0.367578 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 133.46 samples/sec Train-accuracy=0.169375 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 133.46 samples/sec Train-top_k_accuracy_5=0.372422 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 133.35 samples/sec Train-accuracy=0.167656 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 133.35 samples/sec Train-top_k_accuracy_5=0.368750 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 133.35 samples/sec Train-accuracy=0.171875 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 133.35 samples/sec Train-top_k_accuracy_5=0.377578 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 132.96 samples/sec Train-accuracy=0.171406 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 132.96 samples/sec Train-top_k_accuracy_5=0.376875 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 133.07 samples/sec Train-accuracy=0.176328 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.377266 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 133.27 samples/sec Train-accuracy=0.181094 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 133.27 samples/sec Train-top_k_accuracy_5=0.383750 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 133.50 samples/sec Train-accuracy=0.177344 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.388437 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 133.50 samples/sec Train-accuracy=0.178750 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.378437 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 133.16 samples/sec Train-accuracy=0.175547 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 133.16 samples/sec Train-top_k_accuracy_5=0.387266 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 133.04 samples/sec Train-accuracy=0.183125 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 133.04 samples/sec Train-top_k_accuracy_5=0.380781 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 133.64 samples/sec Train-accuracy=0.182500 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.396172 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 133.31 samples/sec Train-accuracy=0.186797 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.399375 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 133.11 samples/sec Train-accuracy=0.186484 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 133.11 samples/sec Train-top_k_accuracy_5=0.397344 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 133.08 samples/sec Train-accuracy=0.186484 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 133.08 samples/sec Train-top_k_accuracy_5=0.395156 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 132.98 samples/sec Train-accuracy=0.188281 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 132.98 samples/sec Train-top_k_accuracy_5=0.407187 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 133.47 samples/sec Train-accuracy=0.191797 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.409375 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 133.46 samples/sec Train-accuracy=0.191172 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 133.46 samples/sec Train-top_k_accuracy_5=0.407969 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 132.61 samples/sec Train-accuracy=0.187500 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 132.61 samples/sec Train-top_k_accuracy_5=0.402422 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 133.05 samples/sec Train-accuracy=0.188203 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 133.05 samples/sec Train-top_k_accuracy_5=0.403672 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 133.45 samples/sec Train-accuracy=0.194297 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 133.45 samples/sec Train-top_k_accuracy_5=0.413125 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 133.53 samples/sec Train-accuracy=0.199531 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 133.53 samples/sec Train-top_k_accuracy_5=0.407578 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 133.61 samples/sec Train-accuracy=0.200156 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 133.61 samples/sec Train-top_k_accuracy_5=0.417656 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 133.60 samples/sec Train-accuracy=0.198906 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.416328 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 133.36 samples/sec Train-accuracy=0.203516 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 133.36 samples/sec Train-top_k_accuracy_5=0.423750 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 133.07 samples/sec Train-accuracy=0.206484 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 133.07 samples/sec Train-top_k_accuracy_5=0.421250 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 133.16 samples/sec Train-accuracy=0.208672 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 133.16 samples/sec Train-top_k_accuracy_5=0.424687 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 133.29 samples/sec Train-accuracy=0.203828 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 133.29 samples/sec Train-top_k_accuracy_5=0.428906 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 133.40 samples/sec Train-accuracy=0.203984 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 133.40 samples/sec Train-top_k_accuracy_5=0.422812 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 133.48 samples/sec Train-accuracy=0.212422 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.429297 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 133.43 samples/sec Train-accuracy=0.207422 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 133.43 samples/sec Train-top_k_accuracy_5=0.430859 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 133.54 samples/sec Train-accuracy=0.214297 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 133.54 samples/sec Train-top_k_accuracy_5=0.434766 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 133.41 samples/sec Train-accuracy=0.211406 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.435469 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 133.51 samples/sec Train-accuracy=0.213672 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.428984 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 133.72 samples/sec Train-accuracy=0.211484 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.429531 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 133.40 samples/sec Train-accuracy=0.212578 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 133.40 samples/sec Train-top_k_accuracy_5=0.434531 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 133.19 samples/sec Train-accuracy=0.225625 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.451953 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 133.31 samples/sec Train-accuracy=0.217969 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.439922 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 133.06 samples/sec Train-accuracy=0.219688 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 133.06 samples/sec Train-top_k_accuracy_5=0.439219 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 133.31 samples/sec Train-accuracy=0.223359 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 133.31 samples/sec Train-top_k_accuracy_5=0.450703 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 133.61 samples/sec Train-accuracy=0.222031 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 133.61 samples/sec Train-top_k_accuracy_5=0.451094 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 133.37 samples/sec Train-accuracy=0.224219 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 133.37 samples/sec Train-top_k_accuracy_5=0.449141 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 133.41 samples/sec Train-accuracy=0.228906 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.449375 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 133.34 samples/sec Train-accuracy=0.225234 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 133.34 samples/sec Train-top_k_accuracy_5=0.458281 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 133.13 samples/sec Train-accuracy=0.229531 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 133.13 samples/sec Train-top_k_accuracy_5=0.455469 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 133.32 samples/sec Train-accuracy=0.229922 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 133.32 samples/sec Train-top_k_accuracy_5=0.462109 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 133.38 samples/sec Train-accuracy=0.226328 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 133.38 samples/sec Train-top_k_accuracy_5=0.456719 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 133.82 samples/sec Train-accuracy=0.231094 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.457656 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 133.73 samples/sec Train-accuracy=0.229531 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.460234 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 133.28 samples/sec Train-accuracy=0.231797 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 133.28 samples/sec Train-top_k_accuracy_5=0.464609 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 133.19 samples/sec Train-accuracy=0.238594 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.468828 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 133.06 samples/sec Train-accuracy=0.231172 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 133.06 samples/sec Train-top_k_accuracy_5=0.461328 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 133.09 samples/sec Train-accuracy=0.238203 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 133.09 samples/sec Train-top_k_accuracy_5=0.470625 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 133.42 samples/sec Train-accuracy=0.232187 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 133.42 samples/sec Train-top_k_accuracy_5=0.462656 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 133.55 samples/sec Train-accuracy=0.235625 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.464844 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 133.65 samples/sec Train-accuracy=0.243594 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 133.65 samples/sec Train-top_k_accuracy_5=0.475469 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 133.79 samples/sec Train-accuracy=0.247188 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.472500 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 133.71 samples/sec Train-accuracy=0.241328 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.474219 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 133.40 samples/sec Train-accuracy=0.242578 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 133.40 samples/sec Train-top_k_accuracy_5=0.476953 | |
| INFO:root:Epoch[1] Resetting Data Iterator | |
| INFO:root:Epoch[1] Time cost=9613.495 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0002.params" | |
| INFO:root:Epoch[1] Validation-accuracy=0.277085 | |
| INFO:root:Epoch[1] Validation-top_k_accuracy_5=0.538225 | |
| INFO:root:Epoch[2] Batch [50] Speed: 136.31 samples/sec Train-accuracy=0.256094 | |
| INFO:root:Epoch[2] Batch [50] Speed: 136.31 samples/sec Train-top_k_accuracy_5=0.488672 | |
| INFO:root:Epoch[2] Batch [100] Speed: 133.60 samples/sec Train-accuracy=0.244219 | |
| INFO:root:Epoch[2] Batch [100] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.481563 | |
| INFO:root:Epoch[2] Batch [150] Speed: 133.50 samples/sec Train-accuracy=0.244453 | |
| INFO:root:Epoch[2] Batch [150] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.480234 | |
| INFO:root:Epoch[2] Batch [200] Speed: 132.92 samples/sec Train-accuracy=0.244844 | |
| INFO:root:Epoch[2] Batch [200] Speed: 132.92 samples/sec Train-top_k_accuracy_5=0.484609 | |
| INFO:root:Epoch[2] Batch [250] Speed: 133.34 samples/sec Train-accuracy=0.245391 | |
| INFO:root:Epoch[2] Batch [250] Speed: 133.34 samples/sec Train-top_k_accuracy_5=0.482812 | |
| INFO:root:Epoch[2] Batch [300] Speed: 133.48 samples/sec Train-accuracy=0.251563 | |
| INFO:root:Epoch[2] Batch [300] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.481797 | |
| INFO:root:Epoch[2] Batch [350] Speed: 133.36 samples/sec Train-accuracy=0.252891 | |
| INFO:root:Epoch[2] Batch [350] Speed: 133.36 samples/sec Train-top_k_accuracy_5=0.484453 | |
| INFO:root:Epoch[2] Batch [400] Speed: 133.10 samples/sec Train-accuracy=0.252109 | |
| INFO:root:Epoch[2] Batch [400] Speed: 133.10 samples/sec Train-top_k_accuracy_5=0.491719 | |
| INFO:root:Epoch[2] Batch [450] Speed: 133.49 samples/sec Train-accuracy=0.253047 | |
| INFO:root:Epoch[2] Batch [450] Speed: 133.49 samples/sec Train-top_k_accuracy_5=0.493437 | |
| INFO:root:Epoch[2] Batch [500] Speed: 133.61 samples/sec Train-accuracy=0.256328 | |
| INFO:root:Epoch[2] Batch [500] Speed: 133.61 samples/sec Train-top_k_accuracy_5=0.493516 | |
| INFO:root:Epoch[2] Batch [550] Speed: 133.19 samples/sec Train-accuracy=0.253047 | |
| INFO:root:Epoch[2] Batch [550] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.487969 | |
| INFO:root:Epoch[2] Batch [600] Speed: 133.26 samples/sec Train-accuracy=0.255625 | |
| INFO:root:Epoch[2] Batch [600] Speed: 133.26 samples/sec Train-top_k_accuracy_5=0.495859 | |
| INFO:root:Epoch[2] Batch [650] Speed: 133.57 samples/sec Train-accuracy=0.262656 | |
| INFO:root:Epoch[2] Batch [650] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.498984 | |
| INFO:root:Epoch[2] Batch [700] Speed: 133.52 samples/sec Train-accuracy=0.255547 | |
| INFO:root:Epoch[2] Batch [700] Speed: 133.52 samples/sec Train-top_k_accuracy_5=0.493750 | |
| INFO:root:Epoch[2] Batch [750] Speed: 133.51 samples/sec Train-accuracy=0.257188 | |
| INFO:root:Epoch[2] Batch [750] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.498359 | |
| INFO:root:Epoch[2] Batch [800] Speed: 133.60 samples/sec Train-accuracy=0.256172 | |
| INFO:root:Epoch[2] Batch [800] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.495156 | |
| INFO:root:Epoch[2] Batch [850] Speed: 133.25 samples/sec Train-accuracy=0.261641 | |
| INFO:root:Epoch[2] Batch [850] Speed: 133.25 samples/sec Train-top_k_accuracy_5=0.492812 | |
| INFO:root:Epoch[2] Batch [900] Speed: 133.56 samples/sec Train-accuracy=0.268047 | |
| INFO:root:Epoch[2] Batch [900] Speed: 133.56 samples/sec Train-top_k_accuracy_5=0.499063 | |
| INFO:root:Epoch[2] Batch [950] Speed: 133.53 samples/sec Train-accuracy=0.261172 | |
| INFO:root:Epoch[2] Batch [950] Speed: 133.53 samples/sec Train-top_k_accuracy_5=0.497422 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 133.62 samples/sec Train-accuracy=0.260937 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 133.62 samples/sec Train-top_k_accuracy_5=0.503281 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 133.93 samples/sec Train-accuracy=0.262500 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.498437 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 133.64 samples/sec Train-accuracy=0.270469 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.508672 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 133.42 samples/sec Train-accuracy=0.262813 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 133.42 samples/sec Train-top_k_accuracy_5=0.502422 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 133.78 samples/sec Train-accuracy=0.272656 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.509219 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 133.89 samples/sec Train-accuracy=0.266953 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.511250 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 133.42 samples/sec Train-accuracy=0.271016 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 133.42 samples/sec Train-top_k_accuracy_5=0.506797 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 133.36 samples/sec Train-accuracy=0.269219 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 133.36 samples/sec Train-top_k_accuracy_5=0.510156 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 133.75 samples/sec Train-accuracy=0.281875 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 133.75 samples/sec Train-top_k_accuracy_5=0.518359 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 133.63 samples/sec Train-accuracy=0.277813 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.519687 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 133.57 samples/sec Train-accuracy=0.274531 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.513828 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 133.38 samples/sec Train-accuracy=0.282969 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 133.38 samples/sec Train-top_k_accuracy_5=0.517734 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 133.47 samples/sec Train-accuracy=0.280703 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.522188 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 133.28 samples/sec Train-accuracy=0.283047 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 133.28 samples/sec Train-top_k_accuracy_5=0.521328 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 133.14 samples/sec Train-accuracy=0.283594 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 133.14 samples/sec Train-top_k_accuracy_5=0.517188 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 133.59 samples/sec Train-accuracy=0.282578 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 133.59 samples/sec Train-top_k_accuracy_5=0.518359 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 133.29 samples/sec Train-accuracy=0.277422 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 133.29 samples/sec Train-top_k_accuracy_5=0.520547 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 133.55 samples/sec Train-accuracy=0.280391 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.520156 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 133.58 samples/sec Train-accuracy=0.280547 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 133.58 samples/sec Train-top_k_accuracy_5=0.520156 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 133.27 samples/sec Train-accuracy=0.279531 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 133.27 samples/sec Train-top_k_accuracy_5=0.526875 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 133.48 samples/sec Train-accuracy=0.284766 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.523984 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 133.41 samples/sec Train-accuracy=0.284141 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 133.41 samples/sec Train-top_k_accuracy_5=0.523203 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 133.63 samples/sec Train-accuracy=0.288047 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.528359 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 133.93 samples/sec Train-accuracy=0.295156 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.534766 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 133.55 samples/sec Train-accuracy=0.296016 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.536328 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 133.82 samples/sec Train-accuracy=0.292500 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.535859 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 133.81 samples/sec Train-accuracy=0.291797 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.536953 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 133.28 samples/sec Train-accuracy=0.289453 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 133.28 samples/sec Train-top_k_accuracy_5=0.532656 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 133.59 samples/sec Train-accuracy=0.292109 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 133.59 samples/sec Train-top_k_accuracy_5=0.529531 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 133.88 samples/sec Train-accuracy=0.291016 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.536563 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 133.88 samples/sec Train-accuracy=0.293359 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.532656 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 132.90 samples/sec Train-accuracy=0.293047 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 132.90 samples/sec Train-top_k_accuracy_5=0.533516 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 133.60 samples/sec Train-accuracy=0.294609 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.532031 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 134.18 samples/sec Train-accuracy=0.298516 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.538125 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 133.94 samples/sec Train-accuracy=0.293906 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.535391 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 133.77 samples/sec Train-accuracy=0.300234 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.540937 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 133.60 samples/sec Train-accuracy=0.294297 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.541250 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 133.78 samples/sec Train-accuracy=0.299063 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.543594 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 133.83 samples/sec Train-accuracy=0.301953 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.544531 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 133.54 samples/sec Train-accuracy=0.297656 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 133.54 samples/sec Train-top_k_accuracy_5=0.547109 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 134.16 samples/sec Train-accuracy=0.301016 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.546016 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 133.98 samples/sec Train-accuracy=0.300859 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.549766 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 133.44 samples/sec Train-accuracy=0.303203 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 133.44 samples/sec Train-top_k_accuracy_5=0.550469 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 133.88 samples/sec Train-accuracy=0.306016 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.545937 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 133.71 samples/sec Train-accuracy=0.307969 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.550937 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 134.16 samples/sec Train-accuracy=0.295234 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.544766 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 133.65 samples/sec Train-accuracy=0.306484 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 133.65 samples/sec Train-top_k_accuracy_5=0.547578 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 133.89 samples/sec Train-accuracy=0.301563 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.543203 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 133.98 samples/sec Train-accuracy=0.310078 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.555234 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 133.68 samples/sec Train-accuracy=0.308594 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 133.68 samples/sec Train-top_k_accuracy_5=0.550937 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 133.84 samples/sec Train-accuracy=0.311250 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.556641 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 133.82 samples/sec Train-accuracy=0.317891 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.566484 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 134.12 samples/sec Train-accuracy=0.314688 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.560937 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 133.99 samples/sec Train-accuracy=0.312344 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.560703 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 133.77 samples/sec Train-accuracy=0.313828 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.562187 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 133.68 samples/sec Train-accuracy=0.313359 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 133.68 samples/sec Train-top_k_accuracy_5=0.557422 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 134.05 samples/sec Train-accuracy=0.314297 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.557266 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 133.66 samples/sec Train-accuracy=0.315625 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.557813 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 133.84 samples/sec Train-accuracy=0.323594 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.565625 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 133.92 samples/sec Train-accuracy=0.309219 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.561328 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 133.72 samples/sec Train-accuracy=0.312266 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.554844 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 133.48 samples/sec Train-accuracy=0.318984 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.567969 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 133.74 samples/sec Train-accuracy=0.322500 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.566953 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 133.83 samples/sec Train-accuracy=0.315078 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.563359 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 133.52 samples/sec Train-accuracy=0.318437 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 133.52 samples/sec Train-top_k_accuracy_5=0.562422 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 133.76 samples/sec Train-accuracy=0.323828 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 133.76 samples/sec Train-top_k_accuracy_5=0.571641 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 133.60 samples/sec Train-accuracy=0.320469 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.569063 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 133.73 samples/sec Train-accuracy=0.318750 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.566406 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 133.70 samples/sec Train-accuracy=0.324062 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 133.70 samples/sec Train-top_k_accuracy_5=0.569531 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 133.50 samples/sec Train-accuracy=0.325156 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.564609 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 133.39 samples/sec Train-accuracy=0.320234 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 133.39 samples/sec Train-top_k_accuracy_5=0.568281 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 133.54 samples/sec Train-accuracy=0.324453 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 133.54 samples/sec Train-top_k_accuracy_5=0.567266 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 134.00 samples/sec Train-accuracy=0.325703 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.575703 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 134.04 samples/sec Train-accuracy=0.324609 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.573594 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 133.71 samples/sec Train-accuracy=0.323516 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.569922 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 133.60 samples/sec Train-accuracy=0.319453 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.569141 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 133.70 samples/sec Train-accuracy=0.327266 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 133.70 samples/sec Train-top_k_accuracy_5=0.573594 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 133.89 samples/sec Train-accuracy=0.325859 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.571875 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 133.73 samples/sec Train-accuracy=0.333437 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.576016 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 133.60 samples/sec Train-accuracy=0.322734 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.567344 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 133.85 samples/sec Train-accuracy=0.332891 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.583438 | |
| INFO:root:Epoch[2] Resetting Data Iterator | |
| INFO:root:Epoch[2] Time cost=9584.731 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0003.params" | |
| INFO:root:Epoch[2] Validation-accuracy=0.384885 | |
| INFO:root:Epoch[2] Validation-top_k_accuracy_5=0.652404 | |
| INFO:root:Epoch[3] Batch [50] Speed: 136.57 samples/sec Train-accuracy=0.332031 | |
| INFO:root:Epoch[3] Batch [50] Speed: 136.57 samples/sec Train-top_k_accuracy_5=0.579531 | |
| INFO:root:Epoch[3] Batch [100] Speed: 134.10 samples/sec Train-accuracy=0.328594 | |
| INFO:root:Epoch[3] Batch [100] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.578828 | |
| INFO:root:Epoch[3] Batch [150] Speed: 133.94 samples/sec Train-accuracy=0.327969 | |
| INFO:root:Epoch[3] Batch [150] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.582891 | |
| INFO:root:Epoch[3] Batch [200] Speed: 134.12 samples/sec Train-accuracy=0.332969 | |
| INFO:root:Epoch[3] Batch [200] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.574297 | |
| INFO:root:Epoch[3] Batch [250] Speed: 134.10 samples/sec Train-accuracy=0.330156 | |
| INFO:root:Epoch[3] Batch [250] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.577500 | |
| INFO:root:Epoch[3] Batch [300] Speed: 133.81 samples/sec Train-accuracy=0.327656 | |
| INFO:root:Epoch[3] Batch [300] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.578516 | |
| INFO:root:Epoch[3] Batch [350] Speed: 133.69 samples/sec Train-accuracy=0.339922 | |
| INFO:root:Epoch[3] Batch [350] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.587969 | |
| INFO:root:Epoch[3] Batch [400] Speed: 133.99 samples/sec Train-accuracy=0.333828 | |
| INFO:root:Epoch[3] Batch [400] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.583359 | |
| INFO:root:Epoch[3] Batch [450] Speed: 133.79 samples/sec Train-accuracy=0.328516 | |
| INFO:root:Epoch[3] Batch [450] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.580391 | |
| INFO:root:Epoch[3] Batch [500] Speed: 133.51 samples/sec Train-accuracy=0.337266 | |
| INFO:root:Epoch[3] Batch [500] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.589141 | |
| INFO:root:Epoch[3] Batch [550] Speed: 133.82 samples/sec Train-accuracy=0.333359 | |
| INFO:root:Epoch[3] Batch [550] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.582266 | |
| INFO:root:Epoch[3] Batch [600] Speed: 133.79 samples/sec Train-accuracy=0.327422 | |
| INFO:root:Epoch[3] Batch [600] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.575000 | |
| INFO:root:Epoch[3] Batch [650] Speed: 133.84 samples/sec Train-accuracy=0.333672 | |
| INFO:root:Epoch[3] Batch [650] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.581875 | |
| INFO:root:Epoch[3] Batch [700] Speed: 133.77 samples/sec Train-accuracy=0.335391 | |
| INFO:root:Epoch[3] Batch [700] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.581094 | |
| INFO:root:Epoch[3] Batch [750] Speed: 133.94 samples/sec Train-accuracy=0.337422 | |
| INFO:root:Epoch[3] Batch [750] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.585547 | |
| INFO:root:Epoch[3] Batch [800] Speed: 134.14 samples/sec Train-accuracy=0.335469 | |
| INFO:root:Epoch[3] Batch [800] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.585703 | |
| INFO:root:Epoch[3] Batch [850] Speed: 133.66 samples/sec Train-accuracy=0.332891 | |
| INFO:root:Epoch[3] Batch [850] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.579844 | |
| INFO:root:Epoch[3] Batch [900] Speed: 133.93 samples/sec Train-accuracy=0.340391 | |
| INFO:root:Epoch[3] Batch [900] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.586562 | |
| INFO:root:Epoch[3] Batch [950] Speed: 133.66 samples/sec Train-accuracy=0.344141 | |
| INFO:root:Epoch[3] Batch [950] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.590313 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 133.63 samples/sec Train-accuracy=0.331719 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.582734 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 133.71 samples/sec Train-accuracy=0.338828 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.586016 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 133.84 samples/sec Train-accuracy=0.352500 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.601250 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 133.65 samples/sec Train-accuracy=0.340156 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 133.65 samples/sec Train-top_k_accuracy_5=0.589375 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 133.87 samples/sec Train-accuracy=0.337500 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.588281 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 133.55 samples/sec Train-accuracy=0.344922 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.592500 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 134.16 samples/sec Train-accuracy=0.343281 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.597266 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 134.00 samples/sec Train-accuracy=0.340000 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.593906 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 133.79 samples/sec Train-accuracy=0.344766 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.601094 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 133.81 samples/sec Train-accuracy=0.348438 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.595938 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 133.90 samples/sec Train-accuracy=0.348984 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.597187 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 133.90 samples/sec Train-accuracy=0.351328 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.599141 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 134.05 samples/sec Train-accuracy=0.356172 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.602812 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 133.98 samples/sec Train-accuracy=0.344531 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.599297 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 133.77 samples/sec Train-accuracy=0.341094 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.594063 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 133.58 samples/sec Train-accuracy=0.349453 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 133.58 samples/sec Train-top_k_accuracy_5=0.599922 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 133.61 samples/sec Train-accuracy=0.347656 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 133.61 samples/sec Train-top_k_accuracy_5=0.600938 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 133.89 samples/sec Train-accuracy=0.351016 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.601484 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 133.63 samples/sec Train-accuracy=0.347891 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 133.63 samples/sec Train-top_k_accuracy_5=0.596484 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 133.87 samples/sec Train-accuracy=0.352422 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.599766 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 133.91 samples/sec Train-accuracy=0.350000 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.600469 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 133.21 samples/sec Train-accuracy=0.348438 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 133.21 samples/sec Train-top_k_accuracy_5=0.600078 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 134.34 samples/sec Train-accuracy=0.352656 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 134.34 samples/sec Train-top_k_accuracy_5=0.606328 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 133.73 samples/sec Train-accuracy=0.362031 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.606250 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 133.87 samples/sec Train-accuracy=0.353594 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.604375 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 133.82 samples/sec Train-accuracy=0.355078 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.605938 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 133.64 samples/sec Train-accuracy=0.349453 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.605938 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 133.91 samples/sec Train-accuracy=0.354609 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.602500 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 134.12 samples/sec Train-accuracy=0.353359 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.604688 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 134.05 samples/sec Train-accuracy=0.355078 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.606719 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 133.83 samples/sec Train-accuracy=0.355547 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.602031 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 134.66 samples/sec Train-accuracy=0.353906 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 134.66 samples/sec Train-top_k_accuracy_5=0.608281 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 133.87 samples/sec Train-accuracy=0.353750 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.604297 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 134.22 samples/sec Train-accuracy=0.363672 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 134.22 samples/sec Train-top_k_accuracy_5=0.606250 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 134.18 samples/sec Train-accuracy=0.355938 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.611094 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 134.18 samples/sec Train-accuracy=0.364766 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.609453 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 134.07 samples/sec Train-accuracy=0.363984 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.611484 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 133.95 samples/sec Train-accuracy=0.357266 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.610391 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 133.96 samples/sec Train-accuracy=0.358984 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.615234 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 134.20 samples/sec Train-accuracy=0.359297 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.610938 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 134.27 samples/sec Train-accuracy=0.353359 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 134.27 samples/sec Train-top_k_accuracy_5=0.596875 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 134.02 samples/sec Train-accuracy=0.360156 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.607031 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 134.07 samples/sec Train-accuracy=0.368203 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.612344 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 134.08 samples/sec Train-accuracy=0.356406 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.612187 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 133.64 samples/sec Train-accuracy=0.364531 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.615703 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 134.05 samples/sec Train-accuracy=0.358047 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.613437 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 133.88 samples/sec Train-accuracy=0.362266 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.612969 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 133.85 samples/sec Train-accuracy=0.365859 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.613437 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 133.94 samples/sec Train-accuracy=0.366250 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.614453 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 133.70 samples/sec Train-accuracy=0.360312 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 133.70 samples/sec Train-top_k_accuracy_5=0.606953 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 133.89 samples/sec Train-accuracy=0.371328 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.617812 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 133.94 samples/sec Train-accuracy=0.372188 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.621953 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 134.06 samples/sec Train-accuracy=0.368203 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.616719 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 133.60 samples/sec Train-accuracy=0.364609 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.620859 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 133.80 samples/sec Train-accuracy=0.363906 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.617344 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 133.62 samples/sec Train-accuracy=0.371250 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 133.62 samples/sec Train-top_k_accuracy_5=0.618437 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 134.20 samples/sec Train-accuracy=0.363984 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.614531 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 134.11 samples/sec Train-accuracy=0.372734 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.617734 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 133.67 samples/sec Train-accuracy=0.378828 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 133.67 samples/sec Train-top_k_accuracy_5=0.627812 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 133.54 samples/sec Train-accuracy=0.370859 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 133.54 samples/sec Train-top_k_accuracy_5=0.612422 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 134.13 samples/sec Train-accuracy=0.360781 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.613203 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 134.08 samples/sec Train-accuracy=0.374531 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.618203 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 133.49 samples/sec Train-accuracy=0.368359 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 133.49 samples/sec Train-top_k_accuracy_5=0.616250 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 133.69 samples/sec Train-accuracy=0.376172 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.630156 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 133.95 samples/sec Train-accuracy=0.369531 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.613828 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 133.77 samples/sec Train-accuracy=0.372344 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.618125 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 134.24 samples/sec Train-accuracy=0.371641 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.623906 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 133.69 samples/sec Train-accuracy=0.368281 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.620469 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 133.91 samples/sec Train-accuracy=0.370000 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.619844 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 133.90 samples/sec Train-accuracy=0.381719 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.622734 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 134.37 samples/sec Train-accuracy=0.373437 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 134.37 samples/sec Train-top_k_accuracy_5=0.626328 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 133.60 samples/sec Train-accuracy=0.369063 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.620625 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 134.11 samples/sec Train-accuracy=0.374844 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.630000 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 133.83 samples/sec Train-accuracy=0.370937 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.624141 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 133.93 samples/sec Train-accuracy=0.372188 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.626016 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 134.20 samples/sec Train-accuracy=0.364375 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.616250 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 133.95 samples/sec Train-accuracy=0.373672 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.624844 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 134.05 samples/sec Train-accuracy=0.374844 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.623828 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 134.04 samples/sec Train-accuracy=0.381875 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.624922 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 133.89 samples/sec Train-accuracy=0.370078 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.619297 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 133.88 samples/sec Train-accuracy=0.380625 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.624844 | |
| INFO:root:Epoch[3] Resetting Data Iterator | |
| INFO:root:Epoch[3] Time cost=9567.913 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0004.params" | |
| INFO:root:Epoch[3] Validation-accuracy=0.425702 | |
| INFO:root:Epoch[3] Validation-top_k_accuracy_5=0.692164 | |
| INFO:root:Epoch[4] Batch [50] Speed: 136.77 samples/sec Train-accuracy=0.376953 | |
| INFO:root:Epoch[4] Batch [50] Speed: 136.77 samples/sec Train-top_k_accuracy_5=0.622500 | |
| INFO:root:Epoch[4] Batch [100] Speed: 134.24 samples/sec Train-accuracy=0.375156 | |
| INFO:root:Epoch[4] Batch [100] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.626250 | |
| INFO:root:Epoch[4] Batch [150] Speed: 134.12 samples/sec Train-accuracy=0.369219 | |
| INFO:root:Epoch[4] Batch [150] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.629219 | |
| INFO:root:Epoch[4] Batch [200] Speed: 134.02 samples/sec Train-accuracy=0.382734 | |
| INFO:root:Epoch[4] Batch [200] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.630156 | |
| INFO:root:Epoch[4] Batch [250] Speed: 133.93 samples/sec Train-accuracy=0.379063 | |
| INFO:root:Epoch[4] Batch [250] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.625547 | |
| INFO:root:Epoch[4] Batch [300] Speed: 134.38 samples/sec Train-accuracy=0.385234 | |
| INFO:root:Epoch[4] Batch [300] Speed: 134.38 samples/sec Train-top_k_accuracy_5=0.638906 | |
| INFO:root:Epoch[4] Batch [350] Speed: 133.90 samples/sec Train-accuracy=0.371797 | |
| INFO:root:Epoch[4] Batch [350] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.626953 | |
| INFO:root:Epoch[4] Batch [400] Speed: 134.03 samples/sec Train-accuracy=0.382656 | |
| INFO:root:Epoch[4] Batch [400] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.631016 | |
| INFO:root:Epoch[4] Batch [450] Speed: 134.01 samples/sec Train-accuracy=0.380859 | |
| INFO:root:Epoch[4] Batch [450] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.635859 | |
| INFO:root:Epoch[4] Batch [500] Speed: 134.25 samples/sec Train-accuracy=0.381563 | |
| INFO:root:Epoch[4] Batch [500] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.630469 | |
| INFO:root:Epoch[4] Batch [550] Speed: 134.07 samples/sec Train-accuracy=0.379922 | |
| INFO:root:Epoch[4] Batch [550] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.634375 | |
| INFO:root:Epoch[4] Batch [600] Speed: 134.01 samples/sec Train-accuracy=0.374531 | |
| INFO:root:Epoch[4] Batch [600] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.629141 | |
| INFO:root:Epoch[4] Batch [650] Speed: 134.16 samples/sec Train-accuracy=0.379922 | |
| INFO:root:Epoch[4] Batch [650] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.631641 | |
| INFO:root:Epoch[4] Batch [700] Speed: 133.86 samples/sec Train-accuracy=0.382422 | |
| INFO:root:Epoch[4] Batch [700] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.628437 | |
| INFO:root:Epoch[4] Batch [750] Speed: 133.71 samples/sec Train-accuracy=0.376563 | |
| INFO:root:Epoch[4] Batch [750] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.631563 | |
| INFO:root:Epoch[4] Batch [800] Speed: 134.05 samples/sec Train-accuracy=0.372422 | |
| INFO:root:Epoch[4] Batch [800] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.623828 | |
| INFO:root:Epoch[4] Batch [850] Speed: 133.92 samples/sec Train-accuracy=0.379531 | |
| INFO:root:Epoch[4] Batch [850] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.630781 | |
| INFO:root:Epoch[4] Batch [900] Speed: 134.09 samples/sec Train-accuracy=0.377266 | |
| INFO:root:Epoch[4] Batch [900] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.627344 | |
| INFO:root:Epoch[4] Batch [950] Speed: 134.08 samples/sec Train-accuracy=0.383828 | |
| INFO:root:Epoch[4] Batch [950] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.629844 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 134.12 samples/sec Train-accuracy=0.387578 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.636875 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 133.90 samples/sec Train-accuracy=0.389688 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.634531 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 133.66 samples/sec Train-accuracy=0.386328 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.637891 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 134.15 samples/sec Train-accuracy=0.380937 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.624062 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 134.21 samples/sec Train-accuracy=0.383359 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.637031 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 133.86 samples/sec Train-accuracy=0.389375 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.635938 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 134.15 samples/sec Train-accuracy=0.386016 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.637344 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 134.31 samples/sec Train-accuracy=0.377578 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 134.31 samples/sec Train-top_k_accuracy_5=0.631406 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 133.99 samples/sec Train-accuracy=0.390703 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.644375 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 133.95 samples/sec Train-accuracy=0.395156 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.639219 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 133.95 samples/sec Train-accuracy=0.388047 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.640859 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 134.01 samples/sec Train-accuracy=0.392266 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.640781 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 134.08 samples/sec Train-accuracy=0.395156 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.644687 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 133.81 samples/sec Train-accuracy=0.392656 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.644922 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 133.16 samples/sec Train-accuracy=0.383750 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 133.16 samples/sec Train-top_k_accuracy_5=0.634375 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 133.66 samples/sec Train-accuracy=0.390234 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.638594 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 134.06 samples/sec Train-accuracy=0.389141 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.639375 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 134.25 samples/sec Train-accuracy=0.397188 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.642969 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 133.69 samples/sec Train-accuracy=0.385234 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.640000 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 133.92 samples/sec Train-accuracy=0.393594 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.639531 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 134.27 samples/sec Train-accuracy=0.391719 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 134.27 samples/sec Train-top_k_accuracy_5=0.640781 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 133.95 samples/sec Train-accuracy=0.387500 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.638984 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 133.80 samples/sec Train-accuracy=0.392422 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.643437 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 134.19 samples/sec Train-accuracy=0.395234 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.648281 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 133.89 samples/sec Train-accuracy=0.400938 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.649687 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 133.81 samples/sec Train-accuracy=0.397969 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.647109 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 134.09 samples/sec Train-accuracy=0.389453 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.642266 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 133.53 samples/sec Train-accuracy=0.388906 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 133.53 samples/sec Train-top_k_accuracy_5=0.640391 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 133.82 samples/sec Train-accuracy=0.388984 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.638984 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 134.11 samples/sec Train-accuracy=0.392734 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.641172 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 133.51 samples/sec Train-accuracy=0.393906 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 133.51 samples/sec Train-top_k_accuracy_5=0.646250 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 134.10 samples/sec Train-accuracy=0.391953 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.649687 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 134.21 samples/sec Train-accuracy=0.389141 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.642031 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 134.19 samples/sec Train-accuracy=0.395859 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.645469 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 133.93 samples/sec Train-accuracy=0.398203 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.647422 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 134.09 samples/sec Train-accuracy=0.397734 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.648750 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 133.71 samples/sec Train-accuracy=0.392734 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.644453 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 133.87 samples/sec Train-accuracy=0.393672 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.646016 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 133.87 samples/sec Train-accuracy=0.390000 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.646250 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 134.11 samples/sec Train-accuracy=0.396953 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.652891 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 133.92 samples/sec Train-accuracy=0.397266 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.644609 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 134.08 samples/sec Train-accuracy=0.398047 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.647500 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 134.12 samples/sec Train-accuracy=0.397422 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.650156 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 133.98 samples/sec Train-accuracy=0.392969 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.642188 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 134.36 samples/sec Train-accuracy=0.401094 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.650391 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 133.87 samples/sec Train-accuracy=0.387891 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.645391 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 133.72 samples/sec Train-accuracy=0.399297 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.651953 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 133.80 samples/sec Train-accuracy=0.395937 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.647344 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 134.11 samples/sec Train-accuracy=0.396953 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.645469 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 133.82 samples/sec Train-accuracy=0.395156 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.643203 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 134.24 samples/sec Train-accuracy=0.400781 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.650937 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 134.33 samples/sec Train-accuracy=0.400781 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 134.33 samples/sec Train-top_k_accuracy_5=0.646953 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 134.32 samples/sec Train-accuracy=0.402187 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 134.32 samples/sec Train-top_k_accuracy_5=0.649766 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 133.88 samples/sec Train-accuracy=0.407500 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.657500 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 133.78 samples/sec Train-accuracy=0.402344 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.652656 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 133.85 samples/sec Train-accuracy=0.401641 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.650937 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 134.11 samples/sec Train-accuracy=0.397656 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.646953 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 134.07 samples/sec Train-accuracy=0.403984 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.655078 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 133.86 samples/sec Train-accuracy=0.406719 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.659141 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 134.07 samples/sec Train-accuracy=0.403281 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.649844 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 134.07 samples/sec Train-accuracy=0.402031 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.650859 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 133.71 samples/sec Train-accuracy=0.403906 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.658125 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 133.92 samples/sec Train-accuracy=0.404609 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.651953 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 133.84 samples/sec Train-accuracy=0.405156 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.654687 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 134.11 samples/sec Train-accuracy=0.404766 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.646953 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 134.00 samples/sec Train-accuracy=0.404219 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.653438 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 133.99 samples/sec Train-accuracy=0.404687 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.654766 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 134.50 samples/sec Train-accuracy=0.401094 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 134.50 samples/sec Train-top_k_accuracy_5=0.651016 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 133.89 samples/sec Train-accuracy=0.401875 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.658359 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 133.85 samples/sec Train-accuracy=0.401562 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.647813 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 133.13 samples/sec Train-accuracy=0.398594 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 133.13 samples/sec Train-top_k_accuracy_5=0.646016 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 134.25 samples/sec Train-accuracy=0.402187 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.656641 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 134.10 samples/sec Train-accuracy=0.406641 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.662969 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 134.06 samples/sec Train-accuracy=0.401328 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.650625 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 134.48 samples/sec Train-accuracy=0.404531 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 134.48 samples/sec Train-top_k_accuracy_5=0.660000 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 133.79 samples/sec Train-accuracy=0.402578 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.657969 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 134.17 samples/sec Train-accuracy=0.408594 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.661953 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 134.17 samples/sec Train-accuracy=0.409687 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.656563 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 133.80 samples/sec Train-accuracy=0.402891 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.656172 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 134.24 samples/sec Train-accuracy=0.409297 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.654922 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 134.02 samples/sec Train-accuracy=0.411016 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.663594 | |
| INFO:root:Epoch[4] Resetting Data Iterator | |
| INFO:root:Epoch[4] Time cost=9559.445 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0005.params" | |
| INFO:root:Epoch[4] Validation-accuracy=0.458267 | |
| INFO:root:Epoch[4] Validation-top_k_accuracy_5=0.723713 | |
| INFO:root:Epoch[5] Batch [50] Speed: 136.81 samples/sec Train-accuracy=0.413984 | |
| INFO:root:Epoch[5] Batch [50] Speed: 136.81 samples/sec Train-top_k_accuracy_5=0.666875 | |
| INFO:root:Epoch[5] Batch [100] Speed: 134.12 samples/sec Train-accuracy=0.405000 | |
| INFO:root:Epoch[5] Batch [100] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.658359 | |
| INFO:root:Epoch[5] Batch [150] Speed: 134.13 samples/sec Train-accuracy=0.405313 | |
| INFO:root:Epoch[5] Batch [150] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.656016 | |
| INFO:root:Epoch[5] Batch [200] Speed: 134.10 samples/sec Train-accuracy=0.407187 | |
| INFO:root:Epoch[5] Batch [200] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.652969 | |
| INFO:root:Epoch[5] Batch [250] Speed: 134.16 samples/sec Train-accuracy=0.403438 | |
| INFO:root:Epoch[5] Batch [250] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.659375 | |
| INFO:root:Epoch[5] Batch [300] Speed: 134.11 samples/sec Train-accuracy=0.399766 | |
| INFO:root:Epoch[5] Batch [300] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.655859 | |
| INFO:root:Epoch[5] Batch [350] Speed: 134.24 samples/sec Train-accuracy=0.410000 | |
| INFO:root:Epoch[5] Batch [350] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.657969 | |
| INFO:root:Epoch[5] Batch [400] Speed: 134.05 samples/sec Train-accuracy=0.406406 | |
| INFO:root:Epoch[5] Batch [400] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.664922 | |
| INFO:root:Epoch[5] Batch [450] Speed: 134.16 samples/sec Train-accuracy=0.404375 | |
| INFO:root:Epoch[5] Batch [450] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.663438 | |
| INFO:root:Epoch[5] Batch [500] Speed: 134.00 samples/sec Train-accuracy=0.410625 | |
| INFO:root:Epoch[5] Batch [500] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.661719 | |
| INFO:root:Epoch[5] Batch [550] Speed: 134.22 samples/sec Train-accuracy=0.407422 | |
| INFO:root:Epoch[5] Batch [550] Speed: 134.22 samples/sec Train-top_k_accuracy_5=0.657344 | |
| INFO:root:Epoch[5] Batch [600] Speed: 133.81 samples/sec Train-accuracy=0.405469 | |
| INFO:root:Epoch[5] Batch [600] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.656016 | |
| INFO:root:Epoch[5] Batch [650] Speed: 134.17 samples/sec Train-accuracy=0.410703 | |
| INFO:root:Epoch[5] Batch [650] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.659766 | |
| INFO:root:Epoch[5] Batch [700] Speed: 134.41 samples/sec Train-accuracy=0.407656 | |
| INFO:root:Epoch[5] Batch [700] Speed: 134.41 samples/sec Train-top_k_accuracy_5=0.662734 | |
| INFO:root:Epoch[5] Batch [750] Speed: 134.08 samples/sec Train-accuracy=0.411484 | |
| INFO:root:Epoch[5] Batch [750] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.662031 | |
| INFO:root:Epoch[5] Batch [800] Speed: 134.02 samples/sec Train-accuracy=0.409609 | |
| INFO:root:Epoch[5] Batch [800] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.654531 | |
| INFO:root:Epoch[5] Batch [850] Speed: 134.00 samples/sec Train-accuracy=0.404062 | |
| INFO:root:Epoch[5] Batch [850] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.654062 | |
| INFO:root:Epoch[5] Batch [900] Speed: 133.93 samples/sec Train-accuracy=0.411875 | |
| INFO:root:Epoch[5] Batch [900] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.655625 | |
| INFO:root:Epoch[5] Batch [950] Speed: 134.04 samples/sec Train-accuracy=0.409141 | |
| INFO:root:Epoch[5] Batch [950] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.656953 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 133.83 samples/sec Train-accuracy=0.406484 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.661016 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 133.60 samples/sec Train-accuracy=0.416016 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.660781 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 134.18 samples/sec Train-accuracy=0.416250 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.665547 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 134.08 samples/sec Train-accuracy=0.410625 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.659062 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 133.18 samples/sec Train-accuracy=0.413828 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 133.18 samples/sec Train-top_k_accuracy_5=0.661641 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 133.88 samples/sec Train-accuracy=0.407891 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.661875 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 134.18 samples/sec Train-accuracy=0.408359 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.657031 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 133.99 samples/sec Train-accuracy=0.407031 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.662188 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 134.22 samples/sec Train-accuracy=0.415781 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 134.22 samples/sec Train-top_k_accuracy_5=0.665625 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 134.35 samples/sec Train-accuracy=0.412500 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 134.35 samples/sec Train-top_k_accuracy_5=0.666328 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 134.26 samples/sec Train-accuracy=0.412109 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 134.26 samples/sec Train-top_k_accuracy_5=0.658359 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 134.19 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.665469 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 134.06 samples/sec Train-accuracy=0.427734 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.668672 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 134.09 samples/sec Train-accuracy=0.419219 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.664922 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 134.06 samples/sec Train-accuracy=0.409844 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.658594 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 134.14 samples/sec Train-accuracy=0.410859 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.662422 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 133.98 samples/sec Train-accuracy=0.410703 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.667656 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 134.14 samples/sec Train-accuracy=0.415938 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 134.09 samples/sec Train-accuracy=0.415703 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.664531 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 134.09 samples/sec Train-accuracy=0.419922 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.666016 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 134.36 samples/sec Train-accuracy=0.413984 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.663750 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 134.33 samples/sec Train-accuracy=0.415234 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 134.33 samples/sec Train-top_k_accuracy_5=0.671406 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 134.02 samples/sec Train-accuracy=0.417422 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.661406 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 134.16 samples/sec Train-accuracy=0.422656 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.670078 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 134.24 samples/sec Train-accuracy=0.418047 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.670000 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 134.42 samples/sec Train-accuracy=0.423125 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 134.42 samples/sec Train-top_k_accuracy_5=0.671094 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 134.10 samples/sec Train-accuracy=0.418594 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.665078 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 133.86 samples/sec Train-accuracy=0.415156 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.668203 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 133.89 samples/sec Train-accuracy=0.412656 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.666094 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 133.99 samples/sec Train-accuracy=0.416953 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.659766 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 133.19 samples/sec Train-accuracy=0.417031 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 133.19 samples/sec Train-top_k_accuracy_5=0.666641 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 134.02 samples/sec Train-accuracy=0.425703 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.678438 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 133.90 samples/sec Train-accuracy=0.416719 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.669063 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 133.85 samples/sec Train-accuracy=0.417500 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.670234 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 133.73 samples/sec Train-accuracy=0.412969 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.664687 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 134.13 samples/sec Train-accuracy=0.411016 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.665859 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 134.18 samples/sec Train-accuracy=0.418594 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.670391 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 134.15 samples/sec Train-accuracy=0.416563 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.667891 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 134.08 samples/sec Train-accuracy=0.422969 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.672109 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 133.92 samples/sec Train-accuracy=0.419766 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.676484 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 134.18 samples/sec Train-accuracy=0.411172 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.667500 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 133.73 samples/sec Train-accuracy=0.415859 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.666250 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 133.60 samples/sec Train-accuracy=0.416953 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.666875 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 134.07 samples/sec Train-accuracy=0.414375 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.665547 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 134.05 samples/sec Train-accuracy=0.424375 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.675156 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 133.72 samples/sec Train-accuracy=0.422422 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 134.31 samples/sec Train-accuracy=0.423750 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 134.31 samples/sec Train-top_k_accuracy_5=0.675234 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 133.89 samples/sec Train-accuracy=0.416563 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.666406 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 134.30 samples/sec Train-accuracy=0.417578 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 134.30 samples/sec Train-top_k_accuracy_5=0.671641 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 134.06 samples/sec Train-accuracy=0.413594 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.668594 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 134.02 samples/sec Train-accuracy=0.423984 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.668203 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 134.10 samples/sec Train-accuracy=0.426250 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.677891 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 134.13 samples/sec Train-accuracy=0.429141 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.674297 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 134.04 samples/sec Train-accuracy=0.422578 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.675156 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 134.07 samples/sec Train-accuracy=0.422187 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.673125 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 133.99 samples/sec Train-accuracy=0.434297 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 134.37 samples/sec Train-accuracy=0.421719 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 134.37 samples/sec Train-top_k_accuracy_5=0.668828 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 133.66 samples/sec Train-accuracy=0.429063 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.677109 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 133.90 samples/sec Train-accuracy=0.428828 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.677500 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 134.03 samples/sec Train-accuracy=0.426563 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.667734 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 134.03 samples/sec Train-accuracy=0.421016 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.673203 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 134.11 samples/sec Train-accuracy=0.429766 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.676719 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 134.00 samples/sec Train-accuracy=0.425234 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.672969 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 133.74 samples/sec Train-accuracy=0.425312 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.674297 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 133.66 samples/sec Train-accuracy=0.428438 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 133.66 samples/sec Train-top_k_accuracy_5=0.668906 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 133.89 samples/sec Train-accuracy=0.420859 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.669141 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 134.45 samples/sec Train-accuracy=0.428594 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 134.45 samples/sec Train-top_k_accuracy_5=0.673906 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 134.16 samples/sec Train-accuracy=0.419531 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.671797 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 134.08 samples/sec Train-accuracy=0.429063 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.679609 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 134.01 samples/sec Train-accuracy=0.424063 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.668047 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 134.05 samples/sec Train-accuracy=0.417187 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.672969 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 134.14 samples/sec Train-accuracy=0.423984 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.671875 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 134.06 samples/sec Train-accuracy=0.425859 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.674922 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 133.94 samples/sec Train-accuracy=0.416563 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.670625 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 133.92 samples/sec Train-accuracy=0.425938 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.673516 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 133.76 samples/sec Train-accuracy=0.422500 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 133.76 samples/sec Train-top_k_accuracy_5=0.673672 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 133.99 samples/sec Train-accuracy=0.424141 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.672031 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 134.06 samples/sec Train-accuracy=0.426250 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.674844 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 134.28 samples/sec Train-accuracy=0.424375 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 134.28 samples/sec Train-top_k_accuracy_5=0.676406 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 134.16 samples/sec Train-accuracy=0.417187 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.674453 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 133.68 samples/sec Train-accuracy=0.425078 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 133.68 samples/sec Train-top_k_accuracy_5=0.679922 | |
| INFO:root:Epoch[5] Resetting Data Iterator | |
| INFO:root:Epoch[5] Time cost=9558.304 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0006.params" | |
| INFO:root:Epoch[5] Validation-accuracy=0.473434 | |
| INFO:root:Epoch[5] Validation-top_k_accuracy_5=0.740135 | |
| INFO:root:Epoch[6] Batch [50] Speed: 137.07 samples/sec Train-accuracy=0.428047 | |
| INFO:root:Epoch[6] Batch [50] Speed: 137.07 samples/sec Train-top_k_accuracy_5=0.679453 | |
| INFO:root:Epoch[6] Batch [100] Speed: 133.64 samples/sec Train-accuracy=0.434063 | |
| INFO:root:Epoch[6] Batch [100] Speed: 133.64 samples/sec Train-top_k_accuracy_5=0.679688 | |
| INFO:root:Epoch[6] Batch [150] Speed: 134.21 samples/sec Train-accuracy=0.419609 | |
| INFO:root:Epoch[6] Batch [150] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.675469 | |
| INFO:root:Epoch[6] Batch [200] Speed: 134.27 samples/sec Train-accuracy=0.429766 | |
| INFO:root:Epoch[6] Batch [200] Speed: 134.27 samples/sec Train-top_k_accuracy_5=0.676094 | |
| INFO:root:Epoch[6] Batch [250] Speed: 133.65 samples/sec Train-accuracy=0.422891 | |
| INFO:root:Epoch[6] Batch [250] Speed: 133.65 samples/sec Train-top_k_accuracy_5=0.673125 | |
| INFO:root:Epoch[6] Batch [300] Speed: 134.03 samples/sec Train-accuracy=0.425312 | |
| INFO:root:Epoch[6] Batch [300] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.684297 | |
| INFO:root:Epoch[6] Batch [350] Speed: 133.95 samples/sec Train-accuracy=0.431484 | |
| INFO:root:Epoch[6] Batch [350] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.679531 | |
| INFO:root:Epoch[6] Batch [400] Speed: 133.82 samples/sec Train-accuracy=0.434063 | |
| INFO:root:Epoch[6] Batch [400] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.682969 | |
| INFO:root:Epoch[6] Batch [450] Speed: 133.82 samples/sec Train-accuracy=0.427031 | |
| INFO:root:Epoch[6] Batch [450] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.677734 | |
| INFO:root:Epoch[6] Batch [500] Speed: 134.33 samples/sec Train-accuracy=0.431406 | |
| INFO:root:Epoch[6] Batch [500] Speed: 134.33 samples/sec Train-top_k_accuracy_5=0.679922 | |
| INFO:root:Epoch[6] Batch [550] Speed: 134.06 samples/sec Train-accuracy=0.423125 | |
| INFO:root:Epoch[6] Batch [550] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.675703 | |
| INFO:root:Epoch[6] Batch [600] Speed: 134.01 samples/sec Train-accuracy=0.427344 | |
| INFO:root:Epoch[6] Batch [600] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.679453 | |
| INFO:root:Epoch[6] Batch [650] Speed: 134.05 samples/sec Train-accuracy=0.427656 | |
| INFO:root:Epoch[6] Batch [650] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.679766 | |
| INFO:root:Epoch[6] Batch [700] Speed: 133.32 samples/sec Train-accuracy=0.429766 | |
| INFO:root:Epoch[6] Batch [700] Speed: 133.32 samples/sec Train-top_k_accuracy_5=0.677422 | |
| INFO:root:Epoch[6] Batch [750] Speed: 133.69 samples/sec Train-accuracy=0.425938 | |
| INFO:root:Epoch[6] Batch [750] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.682891 | |
| INFO:root:Epoch[6] Batch [800] Speed: 134.05 samples/sec Train-accuracy=0.421719 | |
| INFO:root:Epoch[6] Batch [800] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.672656 | |
| INFO:root:Epoch[6] Batch [850] Speed: 133.96 samples/sec Train-accuracy=0.426406 | |
| INFO:root:Epoch[6] Batch [850] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.670312 | |
| INFO:root:Epoch[6] Batch [900] Speed: 133.62 samples/sec Train-accuracy=0.430156 | |
| INFO:root:Epoch[6] Batch [900] Speed: 133.62 samples/sec Train-top_k_accuracy_5=0.677500 | |
| INFO:root:Epoch[6] Batch [950] Speed: 134.07 samples/sec Train-accuracy=0.429609 | |
| INFO:root:Epoch[6] Batch [950] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.678438 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 134.01 samples/sec Train-accuracy=0.428906 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.678438 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 134.17 samples/sec Train-accuracy=0.434766 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.675312 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 134.53 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 134.53 samples/sec Train-top_k_accuracy_5=0.686719 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 134.08 samples/sec Train-accuracy=0.433359 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.679219 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 134.03 samples/sec Train-accuracy=0.431719 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.672500 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 134.42 samples/sec Train-accuracy=0.427734 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 134.42 samples/sec Train-top_k_accuracy_5=0.680078 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 134.01 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.685312 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 134.09 samples/sec Train-accuracy=0.429531 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.680078 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 134.36 samples/sec Train-accuracy=0.437109 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.682813 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 134.26 samples/sec Train-accuracy=0.435312 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 134.26 samples/sec Train-top_k_accuracy_5=0.686328 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 134.42 samples/sec Train-accuracy=0.433047 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 134.42 samples/sec Train-top_k_accuracy_5=0.684766 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 133.73 samples/sec Train-accuracy=0.441875 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.686094 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 133.86 samples/sec Train-accuracy=0.436875 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.688828 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 134.20 samples/sec Train-accuracy=0.434219 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.679219 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 134.26 samples/sec Train-accuracy=0.418672 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 134.26 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 134.33 samples/sec Train-accuracy=0.435312 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 134.33 samples/sec Train-top_k_accuracy_5=0.682422 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 134.36 samples/sec Train-accuracy=0.431406 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.682891 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 134.04 samples/sec Train-accuracy=0.428203 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.675781 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 134.20 samples/sec Train-accuracy=0.433281 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.682187 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 134.08 samples/sec Train-accuracy=0.437500 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.681719 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 134.39 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 134.39 samples/sec Train-top_k_accuracy_5=0.680078 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 134.24 samples/sec Train-accuracy=0.429063 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.679375 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 133.90 samples/sec Train-accuracy=0.437344 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.685000 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 134.27 samples/sec Train-accuracy=0.440234 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 134.27 samples/sec Train-top_k_accuracy_5=0.688828 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 134.09 samples/sec Train-accuracy=0.440234 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.689453 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 134.00 samples/sec Train-accuracy=0.431172 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.678594 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 134.06 samples/sec Train-accuracy=0.434453 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.677578 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 134.25 samples/sec Train-accuracy=0.438750 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.689297 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 133.88 samples/sec Train-accuracy=0.436953 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.683516 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 134.31 samples/sec Train-accuracy=0.430078 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 134.31 samples/sec Train-top_k_accuracy_5=0.676797 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 134.24 samples/sec Train-accuracy=0.429453 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.682734 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 134.25 samples/sec Train-accuracy=0.432422 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.682500 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 133.87 samples/sec Train-accuracy=0.432578 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.683125 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 133.93 samples/sec Train-accuracy=0.434531 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.685078 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 133.86 samples/sec Train-accuracy=0.439688 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.684141 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 133.90 samples/sec Train-accuracy=0.438047 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.686406 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 134.29 samples/sec Train-accuracy=0.434844 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 134.29 samples/sec Train-top_k_accuracy_5=0.683828 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 134.10 samples/sec Train-accuracy=0.435547 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.685391 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 133.74 samples/sec Train-accuracy=0.434609 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.685078 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 133.68 samples/sec Train-accuracy=0.436172 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 133.68 samples/sec Train-top_k_accuracy_5=0.684531 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 134.07 samples/sec Train-accuracy=0.435469 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.685625 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 134.12 samples/sec Train-accuracy=0.442734 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.678359 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 134.01 samples/sec Train-accuracy=0.431797 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.683203 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 134.11 samples/sec Train-accuracy=0.438281 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.683828 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 133.84 samples/sec Train-accuracy=0.442734 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.689141 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 134.14 samples/sec Train-accuracy=0.433125 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.684297 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 133.92 samples/sec Train-accuracy=0.438594 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.689063 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 134.20 samples/sec Train-accuracy=0.434219 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.687109 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 133.97 samples/sec Train-accuracy=0.436641 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.690312 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 134.54 samples/sec Train-accuracy=0.431953 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 134.54 samples/sec Train-top_k_accuracy_5=0.679531 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 133.99 samples/sec Train-accuracy=0.438359 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.685234 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 133.95 samples/sec Train-accuracy=0.439063 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.689766 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 133.87 samples/sec Train-accuracy=0.440000 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.693906 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 134.17 samples/sec Train-accuracy=0.440937 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.687344 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 133.93 samples/sec Train-accuracy=0.438516 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.690391 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 134.25 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.680781 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 134.05 samples/sec Train-accuracy=0.434375 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.683516 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 134.23 samples/sec Train-accuracy=0.448594 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.691953 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 134.15 samples/sec Train-accuracy=0.445781 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.696328 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 134.10 samples/sec Train-accuracy=0.440547 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.686953 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 134.26 samples/sec Train-accuracy=0.435234 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 134.26 samples/sec Train-top_k_accuracy_5=0.683828 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 134.31 samples/sec Train-accuracy=0.439609 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 134.31 samples/sec Train-top_k_accuracy_5=0.693672 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 133.92 samples/sec Train-accuracy=0.438203 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.683203 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 134.38 samples/sec Train-accuracy=0.444063 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 134.38 samples/sec Train-top_k_accuracy_5=0.692969 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 134.04 samples/sec Train-accuracy=0.438359 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.681484 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 134.00 samples/sec Train-accuracy=0.440625 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.686094 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 134.08 samples/sec Train-accuracy=0.439688 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.690078 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 134.13 samples/sec Train-accuracy=0.429531 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.687500 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 133.81 samples/sec Train-accuracy=0.444531 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.689766 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 134.15 samples/sec Train-accuracy=0.444141 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.686641 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 134.11 samples/sec Train-accuracy=0.435781 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.687813 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 133.91 samples/sec Train-accuracy=0.433594 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.685859 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 134.05 samples/sec Train-accuracy=0.445312 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.697187 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 134.16 samples/sec Train-accuracy=0.433750 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.682422 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 133.88 samples/sec Train-accuracy=0.434609 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.687422 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 134.17 samples/sec Train-accuracy=0.434766 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.686562 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 134.03 samples/sec Train-accuracy=0.450000 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.690000 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 134.13 samples/sec Train-accuracy=0.442422 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.686797 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 133.99 samples/sec Train-accuracy=0.435469 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.686094 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 134.25 samples/sec Train-accuracy=0.436016 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.683203 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 133.57 samples/sec Train-accuracy=0.440000 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.690156 | |
| INFO:root:Epoch[6] Resetting Data Iterator | |
| INFO:root:Epoch[6] Time cost=9554.177 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0007.params" | |
| INFO:root:Epoch[6] Validation-accuracy=0.495177 | |
| INFO:root:Epoch[6] Validation-top_k_accuracy_5=0.753787 | |
| INFO:root:Epoch[7] Batch [50] Speed: 136.66 samples/sec Train-accuracy=0.446797 | |
| INFO:root:Epoch[7] Batch [50] Speed: 136.66 samples/sec Train-top_k_accuracy_5=0.696406 | |
| INFO:root:Epoch[7] Batch [100] Speed: 134.36 samples/sec Train-accuracy=0.441172 | |
| INFO:root:Epoch[7] Batch [100] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.687031 | |
| INFO:root:Epoch[7] Batch [150] Speed: 133.96 samples/sec Train-accuracy=0.439453 | |
| INFO:root:Epoch[7] Batch [150] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.686250 | |
| INFO:root:Epoch[7] Batch [200] Speed: 134.00 samples/sec Train-accuracy=0.444063 | |
| INFO:root:Epoch[7] Batch [200] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.693047 | |
| INFO:root:Epoch[7] Batch [250] Speed: 134.07 samples/sec Train-accuracy=0.439922 | |
| INFO:root:Epoch[7] Batch [250] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.691562 | |
| INFO:root:Epoch[7] Batch [300] Speed: 133.57 samples/sec Train-accuracy=0.439219 | |
| INFO:root:Epoch[7] Batch [300] Speed: 133.57 samples/sec Train-top_k_accuracy_5=0.690937 | |
| INFO:root:Epoch[7] Batch [350] Speed: 134.20 samples/sec Train-accuracy=0.442734 | |
| INFO:root:Epoch[7] Batch [350] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.694375 | |
| INFO:root:Epoch[7] Batch [400] Speed: 134.36 samples/sec Train-accuracy=0.442188 | |
| INFO:root:Epoch[7] Batch [400] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.699844 | |
| INFO:root:Epoch[7] Batch [450] Speed: 133.87 samples/sec Train-accuracy=0.443828 | |
| INFO:root:Epoch[7] Batch [450] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.690781 | |
| INFO:root:Epoch[7] Batch [500] Speed: 134.07 samples/sec Train-accuracy=0.445859 | |
| INFO:root:Epoch[7] Batch [500] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.691328 | |
| INFO:root:Epoch[7] Batch [550] Speed: 134.23 samples/sec Train-accuracy=0.449531 | |
| INFO:root:Epoch[7] Batch [550] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.694609 | |
| INFO:root:Epoch[7] Batch [600] Speed: 134.21 samples/sec Train-accuracy=0.438437 | |
| INFO:root:Epoch[7] Batch [600] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.690937 | |
| INFO:root:Epoch[7] Batch [650] Speed: 133.48 samples/sec Train-accuracy=0.433750 | |
| INFO:root:Epoch[7] Batch [650] Speed: 133.48 samples/sec Train-top_k_accuracy_5=0.690312 | |
| INFO:root:Epoch[7] Batch [700] Speed: 133.83 samples/sec Train-accuracy=0.441328 | |
| INFO:root:Epoch[7] Batch [700] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.689063 | |
| INFO:root:Epoch[7] Batch [750] Speed: 133.87 samples/sec Train-accuracy=0.441641 | |
| INFO:root:Epoch[7] Batch [750] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.687344 | |
| INFO:root:Epoch[7] Batch [800] Speed: 134.18 samples/sec Train-accuracy=0.438906 | |
| INFO:root:Epoch[7] Batch [800] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.689219 | |
| INFO:root:Epoch[7] Batch [850] Speed: 133.98 samples/sec Train-accuracy=0.437344 | |
| INFO:root:Epoch[7] Batch [850] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.688203 | |
| INFO:root:Epoch[7] Batch [900] Speed: 133.99 samples/sec Train-accuracy=0.444531 | |
| INFO:root:Epoch[7] Batch [900] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.695547 | |
| INFO:root:Epoch[7] Batch [950] Speed: 134.36 samples/sec Train-accuracy=0.443125 | |
| INFO:root:Epoch[7] Batch [950] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.689609 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 133.85 samples/sec Train-accuracy=0.437422 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.691797 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 134.09 samples/sec Train-accuracy=0.448750 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.691094 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 134.24 samples/sec Train-accuracy=0.452734 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.700078 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 133.62 samples/sec Train-accuracy=0.447422 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 133.62 samples/sec Train-top_k_accuracy_5=0.692344 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 134.48 samples/sec Train-accuracy=0.440781 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 134.48 samples/sec Train-top_k_accuracy_5=0.686094 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 134.95 samples/sec Train-accuracy=0.444063 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 134.95 samples/sec Train-top_k_accuracy_5=0.695781 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 133.81 samples/sec Train-accuracy=0.442031 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.693984 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 134.23 samples/sec Train-accuracy=0.442891 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.693750 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 134.47 samples/sec Train-accuracy=0.444609 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 134.47 samples/sec Train-top_k_accuracy_5=0.695859 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 134.66 samples/sec Train-accuracy=0.445625 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 134.66 samples/sec Train-top_k_accuracy_5=0.699844 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 133.88 samples/sec Train-accuracy=0.449219 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.691406 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 134.17 samples/sec Train-accuracy=0.448203 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.691875 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 134.53 samples/sec Train-accuracy=0.449219 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 134.53 samples/sec Train-top_k_accuracy_5=0.697734 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 134.29 samples/sec Train-accuracy=0.444688 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 134.29 samples/sec Train-top_k_accuracy_5=0.692734 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 134.04 samples/sec Train-accuracy=0.437422 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.684219 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 134.21 samples/sec Train-accuracy=0.454453 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.699375 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 134.44 samples/sec Train-accuracy=0.450078 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 134.44 samples/sec Train-top_k_accuracy_5=0.698828 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 134.22 samples/sec Train-accuracy=0.447578 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 134.22 samples/sec Train-top_k_accuracy_5=0.692187 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 134.02 samples/sec Train-accuracy=0.445625 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.693203 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 134.20 samples/sec Train-accuracy=0.450625 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.695625 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 134.16 samples/sec Train-accuracy=0.449297 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.696719 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 133.96 samples/sec Train-accuracy=0.446094 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.699531 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 134.48 samples/sec Train-accuracy=0.447813 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 134.48 samples/sec Train-top_k_accuracy_5=0.691641 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 134.19 samples/sec Train-accuracy=0.455547 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.702812 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 133.94 samples/sec Train-accuracy=0.449297 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.691797 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 134.34 samples/sec Train-accuracy=0.447109 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 134.34 samples/sec Train-top_k_accuracy_5=0.697969 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 134.23 samples/sec Train-accuracy=0.449922 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.691641 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 134.06 samples/sec Train-accuracy=0.450469 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.694141 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 133.71 samples/sec Train-accuracy=0.443672 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.692500 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 134.06 samples/sec Train-accuracy=0.440859 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.686875 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 134.37 samples/sec Train-accuracy=0.438828 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 134.37 samples/sec Train-top_k_accuracy_5=0.692578 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 133.86 samples/sec Train-accuracy=0.446953 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.695547 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 134.41 samples/sec Train-accuracy=0.440391 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 134.41 samples/sec Train-top_k_accuracy_5=0.693203 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 134.00 samples/sec Train-accuracy=0.448437 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.697500 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 134.53 samples/sec Train-accuracy=0.449141 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 134.53 samples/sec Train-top_k_accuracy_5=0.698516 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 134.17 samples/sec Train-accuracy=0.452422 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.703750 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 134.15 samples/sec Train-accuracy=0.443203 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.692891 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 134.41 samples/sec Train-accuracy=0.451719 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 134.41 samples/sec Train-top_k_accuracy_5=0.701016 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 134.18 samples/sec Train-accuracy=0.447656 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.702891 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 134.07 samples/sec Train-accuracy=0.445703 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.701875 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 133.86 samples/sec Train-accuracy=0.443437 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.695078 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 134.04 samples/sec Train-accuracy=0.453125 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.695703 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 134.41 samples/sec Train-accuracy=0.449297 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 134.41 samples/sec Train-top_k_accuracy_5=0.691328 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 133.97 samples/sec Train-accuracy=0.447656 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.692500 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 134.47 samples/sec Train-accuracy=0.449922 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 134.47 samples/sec Train-top_k_accuracy_5=0.702266 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 134.05 samples/sec Train-accuracy=0.445547 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.696641 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 134.07 samples/sec Train-accuracy=0.444531 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.698984 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 134.18 samples/sec Train-accuracy=0.444844 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.697109 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 134.19 samples/sec Train-accuracy=0.454922 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.695625 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 133.83 samples/sec Train-accuracy=0.446406 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.694766 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 134.52 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 134.52 samples/sec Train-top_k_accuracy_5=0.700469 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 134.19 samples/sec Train-accuracy=0.457109 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 134.19 samples/sec Train-top_k_accuracy_5=0.697031 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 134.30 samples/sec Train-accuracy=0.454141 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 134.30 samples/sec Train-top_k_accuracy_5=0.699688 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 134.05 samples/sec Train-accuracy=0.448906 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.702187 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 134.04 samples/sec Train-accuracy=0.454453 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.701328 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 133.84 samples/sec Train-accuracy=0.450078 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.696250 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 134.04 samples/sec Train-accuracy=0.449609 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.696797 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 134.32 samples/sec Train-accuracy=0.460234 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 134.32 samples/sec Train-top_k_accuracy_5=0.704141 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 134.04 samples/sec Train-accuracy=0.457266 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.700391 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 133.89 samples/sec Train-accuracy=0.454297 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.692500 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 134.41 samples/sec Train-accuracy=0.446328 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 134.41 samples/sec Train-top_k_accuracy_5=0.698203 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 133.82 samples/sec Train-accuracy=0.450781 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.694922 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 134.10 samples/sec Train-accuracy=0.449688 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.694922 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 133.99 samples/sec Train-accuracy=0.460313 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 134.14 samples/sec Train-accuracy=0.450937 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.700547 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 134.17 samples/sec Train-accuracy=0.447500 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.699375 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 134.11 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.702969 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 134.23 samples/sec Train-accuracy=0.451719 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.698203 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 133.71 samples/sec Train-accuracy=0.460078 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.707109 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 133.80 samples/sec Train-accuracy=0.445234 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.693906 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 134.18 samples/sec Train-accuracy=0.445234 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.696953 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 134.04 samples/sec Train-accuracy=0.443750 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.695859 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 134.09 samples/sec Train-accuracy=0.453516 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.703438 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 134.14 samples/sec Train-accuracy=0.450391 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.701875 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 134.00 samples/sec Train-accuracy=0.448594 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.704375 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 134.25 samples/sec Train-accuracy=0.445156 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.701875 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 134.07 samples/sec Train-accuracy=0.451406 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.698516 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 134.30 samples/sec Train-accuracy=0.451406 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 134.30 samples/sec Train-top_k_accuracy_5=0.698359 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 133.78 samples/sec Train-accuracy=0.453281 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.696016 | |
| INFO:root:Epoch[7] Batch [4950] Speed: 133.88 samples/sec Train-accuracy=0.453906 | |
| INFO:root:Epoch[7] Batch [4950] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.696406 | |
| INFO:root:Epoch[7] Batch [5000] Speed: 134.31 samples/sec Train-accuracy=0.458984 | |
| INFO:root:Epoch[7] Batch [5000] Speed: 134.31 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[7] Resetting Data Iterator | |
| INFO:root:Epoch[7] Time cost=9552.270 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0008.params" | |
| INFO:root:Epoch[7] Validation-accuracy=0.507593 | |
| INFO:root:Epoch[7] Validation-top_k_accuracy_5=0.766741 | |
| INFO:root:Epoch[8] Batch [50] Speed: 136.80 samples/sec Train-accuracy=0.455625 | |
| INFO:root:Epoch[8] Batch [50] Speed: 136.80 samples/sec Train-top_k_accuracy_5=0.700078 | |
| INFO:root:Epoch[8] Batch [100] Speed: 134.01 samples/sec Train-accuracy=0.450703 | |
| INFO:root:Epoch[8] Batch [100] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.695781 | |
| INFO:root:Epoch[8] Batch [150] Speed: 134.06 samples/sec Train-accuracy=0.449141 | |
| INFO:root:Epoch[8] Batch [150] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.698359 | |
| INFO:root:Epoch[8] Batch [200] Speed: 133.78 samples/sec Train-accuracy=0.445312 | |
| INFO:root:Epoch[8] Batch [200] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.698906 | |
| INFO:root:Epoch[8] Batch [250] Speed: 134.24 samples/sec Train-accuracy=0.448828 | |
| INFO:root:Epoch[8] Batch [250] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.696250 | |
| INFO:root:Epoch[8] Batch [300] Speed: 134.20 samples/sec Train-accuracy=0.449766 | |
| INFO:root:Epoch[8] Batch [300] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.699297 | |
| INFO:root:Epoch[8] Batch [350] Speed: 133.45 samples/sec Train-accuracy=0.456484 | |
| INFO:root:Epoch[8] Batch [350] Speed: 133.45 samples/sec Train-top_k_accuracy_5=0.707734 | |
| INFO:root:Epoch[8] Batch [400] Speed: 134.02 samples/sec Train-accuracy=0.451250 | |
| INFO:root:Epoch[8] Batch [400] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[8] Batch [450] Speed: 133.96 samples/sec Train-accuracy=0.458203 | |
| INFO:root:Epoch[8] Batch [450] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.701484 | |
| INFO:root:Epoch[8] Batch [500] Speed: 133.86 samples/sec Train-accuracy=0.452734 | |
| INFO:root:Epoch[8] Batch [500] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.703906 | |
| INFO:root:Epoch[8] Batch [550] Speed: 133.95 samples/sec Train-accuracy=0.448125 | |
| INFO:root:Epoch[8] Batch [550] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.696016 | |
| INFO:root:Epoch[8] Batch [600] Speed: 133.32 samples/sec Train-accuracy=0.444219 | |
| INFO:root:Epoch[8] Batch [600] Speed: 133.32 samples/sec Train-top_k_accuracy_5=0.697891 | |
| INFO:root:Epoch[8] Batch [650] Speed: 134.02 samples/sec Train-accuracy=0.452656 | |
| INFO:root:Epoch[8] Batch [650] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.701484 | |
| INFO:root:Epoch[8] Batch [700] Speed: 133.92 samples/sec Train-accuracy=0.459141 | |
| INFO:root:Epoch[8] Batch [700] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.700234 | |
| INFO:root:Epoch[8] Batch [750] Speed: 133.60 samples/sec Train-accuracy=0.454766 | |
| INFO:root:Epoch[8] Batch [750] Speed: 133.60 samples/sec Train-top_k_accuracy_5=0.701484 | |
| INFO:root:Epoch[8] Batch [800] Speed: 134.20 samples/sec Train-accuracy=0.442734 | |
| INFO:root:Epoch[8] Batch [800] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.693047 | |
| INFO:root:Epoch[8] Batch [850] Speed: 133.55 samples/sec Train-accuracy=0.452891 | |
| INFO:root:Epoch[8] Batch [850] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.695703 | |
| INFO:root:Epoch[8] Batch [900] Speed: 134.36 samples/sec Train-accuracy=0.447031 | |
| INFO:root:Epoch[8] Batch [900] Speed: 134.36 samples/sec Train-top_k_accuracy_5=0.694688 | |
| INFO:root:Epoch[8] Batch [950] Speed: 134.49 samples/sec Train-accuracy=0.455234 | |
| INFO:root:Epoch[8] Batch [950] Speed: 134.49 samples/sec Train-top_k_accuracy_5=0.704219 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 134.06 samples/sec Train-accuracy=0.449609 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.704375 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 133.75 samples/sec Train-accuracy=0.458125 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 133.75 samples/sec Train-top_k_accuracy_5=0.702969 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 133.92 samples/sec Train-accuracy=0.460469 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 134.04 samples/sec Train-accuracy=0.449062 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.700391 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 133.90 samples/sec Train-accuracy=0.447969 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.701953 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 134.06 samples/sec Train-accuracy=0.456328 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.703125 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 134.07 samples/sec Train-accuracy=0.454844 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.699063 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 133.75 samples/sec Train-accuracy=0.455078 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 133.75 samples/sec Train-top_k_accuracy_5=0.697578 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 134.03 samples/sec Train-accuracy=0.455547 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.705156 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 134.08 samples/sec Train-accuracy=0.456797 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.705391 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 134.16 samples/sec Train-accuracy=0.456797 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.706719 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 133.72 samples/sec Train-accuracy=0.457344 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.705937 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 133.74 samples/sec Train-accuracy=0.462109 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.703281 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 133.80 samples/sec Train-accuracy=0.452969 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 133.80 samples/sec Train-top_k_accuracy_5=0.701562 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 133.76 samples/sec Train-accuracy=0.445312 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 133.76 samples/sec Train-top_k_accuracy_5=0.697187 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 133.77 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.704531 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 133.67 samples/sec Train-accuracy=0.453672 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 133.67 samples/sec Train-top_k_accuracy_5=0.697969 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 133.95 samples/sec Train-accuracy=0.456328 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.698906 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 133.87 samples/sec Train-accuracy=0.447891 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.699375 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 133.85 samples/sec Train-accuracy=0.463984 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.705234 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 133.69 samples/sec Train-accuracy=0.459531 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 133.69 samples/sec Train-top_k_accuracy_5=0.703125 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 134.08 samples/sec Train-accuracy=0.452734 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 134.01 samples/sec Train-accuracy=0.456797 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.700234 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 134.07 samples/sec Train-accuracy=0.466406 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 133.94 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.710313 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 134.08 samples/sec Train-accuracy=0.464766 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.704375 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 133.93 samples/sec Train-accuracy=0.455313 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.703828 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 134.01 samples/sec Train-accuracy=0.457969 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.705078 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 133.78 samples/sec Train-accuracy=0.455937 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.706484 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 133.65 samples/sec Train-accuracy=0.452344 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 133.65 samples/sec Train-top_k_accuracy_5=0.700625 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 133.89 samples/sec Train-accuracy=0.455469 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.702969 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 133.50 samples/sec Train-accuracy=0.453516 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 133.50 samples/sec Train-top_k_accuracy_5=0.701719 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 133.83 samples/sec Train-accuracy=0.453437 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.699844 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 133.78 samples/sec Train-accuracy=0.455703 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 133.87 samples/sec Train-accuracy=0.458750 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 133.72 samples/sec Train-accuracy=0.458984 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.706953 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 134.09 samples/sec Train-accuracy=0.460859 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.705781 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 134.12 samples/sec Train-accuracy=0.460547 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.704844 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 133.98 samples/sec Train-accuracy=0.456250 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 133.96 samples/sec Train-accuracy=0.460234 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.707500 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 133.88 samples/sec Train-accuracy=0.457578 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.703047 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 134.20 samples/sec Train-accuracy=0.458047 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 134.20 samples/sec Train-top_k_accuracy_5=0.703047 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 133.74 samples/sec Train-accuracy=0.461875 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.709531 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 133.85 samples/sec Train-accuracy=0.452031 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.694688 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 133.88 samples/sec Train-accuracy=0.467109 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.703672 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 134.24 samples/sec Train-accuracy=0.450781 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.702656 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 133.67 samples/sec Train-accuracy=0.454609 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 133.67 samples/sec Train-top_k_accuracy_5=0.709063 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 133.87 samples/sec Train-accuracy=0.456328 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.699141 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 134.04 samples/sec Train-accuracy=0.457500 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.705234 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 133.70 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 133.70 samples/sec Train-top_k_accuracy_5=0.702578 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 133.75 samples/sec Train-accuracy=0.456719 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 133.75 samples/sec Train-top_k_accuracy_5=0.706406 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 133.97 samples/sec Train-accuracy=0.461484 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.712891 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 134.02 samples/sec Train-accuracy=0.463828 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.714375 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 133.78 samples/sec Train-accuracy=0.460156 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.707031 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 134.04 samples/sec Train-accuracy=0.462500 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.708984 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 133.74 samples/sec Train-accuracy=0.461094 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 133.74 samples/sec Train-top_k_accuracy_5=0.702500 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 133.73 samples/sec Train-accuracy=0.459609 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.705859 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 134.05 samples/sec Train-accuracy=0.458047 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.705156 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 133.77 samples/sec Train-accuracy=0.469375 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 133.88 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.697031 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 133.96 samples/sec Train-accuracy=0.453828 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 133.96 samples/sec Train-top_k_accuracy_5=0.706016 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 134.08 samples/sec Train-accuracy=0.466016 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.712734 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 133.98 samples/sec Train-accuracy=0.463438 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.711484 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 134.23 samples/sec Train-accuracy=0.463906 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.713516 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 134.01 samples/sec Train-accuracy=0.460469 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.705078 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 134.15 samples/sec Train-accuracy=0.459219 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.703281 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 134.03 samples/sec Train-accuracy=0.462266 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.709688 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 133.77 samples/sec Train-accuracy=0.464062 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.711875 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 134.27 samples/sec Train-accuracy=0.463281 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 134.27 samples/sec Train-top_k_accuracy_5=0.709766 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 133.93 samples/sec Train-accuracy=0.458906 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.708672 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 134.11 samples/sec Train-accuracy=0.459219 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 134.12 samples/sec Train-accuracy=0.462109 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.708750 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 133.94 samples/sec Train-accuracy=0.460859 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.706641 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 134.12 samples/sec Train-accuracy=0.451484 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.703594 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 134.05 samples/sec Train-accuracy=0.461250 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.705469 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 133.97 samples/sec Train-accuracy=0.460000 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.709609 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 134.46 samples/sec Train-accuracy=0.455234 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 134.46 samples/sec Train-top_k_accuracy_5=0.703203 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 134.03 samples/sec Train-accuracy=0.466250 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.707969 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 133.98 samples/sec Train-accuracy=0.464219 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.707344 | |
| INFO:root:Epoch[8] Batch [4950] Speed: 133.75 samples/sec Train-accuracy=0.455469 | |
| INFO:root:Epoch[8] Batch [4950] Speed: 133.75 samples/sec Train-top_k_accuracy_5=0.708516 | |
| INFO:root:Epoch[8] Batch [5000] Speed: 134.39 samples/sec Train-accuracy=0.460156 | |
| INFO:root:Epoch[8] Batch [5000] Speed: 134.39 samples/sec Train-top_k_accuracy_5=0.711484 | |
| INFO:root:Epoch[8] Resetting Data Iterator | |
| INFO:root:Epoch[8] Time cost=9565.012 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0009.params" | |
| INFO:root:Epoch[8] Validation-accuracy=0.519511 | |
| INFO:root:Epoch[8] Validation-top_k_accuracy_5=0.776925 | |
| INFO:root:Epoch[9] Batch [50] Speed: 136.52 samples/sec Train-accuracy=0.466875 | |
| INFO:root:Epoch[9] Batch [50] Speed: 136.52 samples/sec Train-top_k_accuracy_5=0.712031 | |
| INFO:root:Epoch[9] Batch [100] Speed: 133.99 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[9] Batch [100] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.706328 | |
| INFO:root:Epoch[9] Batch [150] Speed: 134.35 samples/sec Train-accuracy=0.454688 | |
| INFO:root:Epoch[9] Batch [150] Speed: 134.35 samples/sec Train-top_k_accuracy_5=0.704297 | |
| INFO:root:Epoch[9] Batch [200] Speed: 133.55 samples/sec Train-accuracy=0.459062 | |
| INFO:root:Epoch[9] Batch [200] Speed: 133.55 samples/sec Train-top_k_accuracy_5=0.709063 | |
| INFO:root:Epoch[9] Batch [250] Speed: 134.05 samples/sec Train-accuracy=0.460781 | |
| INFO:root:Epoch[9] Batch [250] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.706328 | |
| INFO:root:Epoch[9] Batch [300] Speed: 134.13 samples/sec Train-accuracy=0.464609 | |
| INFO:root:Epoch[9] Batch [300] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.709844 | |
| INFO:root:Epoch[9] Batch [350] Speed: 133.89 samples/sec Train-accuracy=0.469687 | |
| INFO:root:Epoch[9] Batch [350] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.709609 | |
| INFO:root:Epoch[9] Batch [400] Speed: 133.87 samples/sec Train-accuracy=0.463594 | |
| INFO:root:Epoch[9] Batch [400] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.714141 | |
| INFO:root:Epoch[9] Batch [450] Speed: 133.82 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[9] Batch [450] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.704766 | |
| INFO:root:Epoch[9] Batch [500] Speed: 134.32 samples/sec Train-accuracy=0.464609 | |
| INFO:root:Epoch[9] Batch [500] Speed: 134.32 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [550] Speed: 133.78 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[9] Batch [550] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.705625 | |
| INFO:root:Epoch[9] Batch [600] Speed: 134.05 samples/sec Train-accuracy=0.457500 | |
| INFO:root:Epoch[9] Batch [600] Speed: 134.05 samples/sec Train-top_k_accuracy_5=0.703281 | |
| INFO:root:Epoch[9] Batch [650] Speed: 134.28 samples/sec Train-accuracy=0.459766 | |
| INFO:root:Epoch[9] Batch [650] Speed: 134.28 samples/sec Train-top_k_accuracy_5=0.711328 | |
| INFO:root:Epoch[9] Batch [700] Speed: 133.83 samples/sec Train-accuracy=0.468359 | |
| INFO:root:Epoch[9] Batch [700] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.708672 | |
| INFO:root:Epoch[9] Batch [750] Speed: 134.17 samples/sec Train-accuracy=0.465391 | |
| INFO:root:Epoch[9] Batch [750] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[9] Batch [800] Speed: 134.00 samples/sec Train-accuracy=0.452734 | |
| INFO:root:Epoch[9] Batch [800] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.706172 | |
| INFO:root:Epoch[9] Batch [850] Speed: 133.95 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [850] Speed: 133.95 samples/sec Train-top_k_accuracy_5=0.706562 | |
| INFO:root:Epoch[9] Batch [900] Speed: 134.10 samples/sec Train-accuracy=0.460938 | |
| INFO:root:Epoch[9] Batch [900] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[9] Batch [950] Speed: 133.92 samples/sec Train-accuracy=0.463125 | |
| INFO:root:Epoch[9] Batch [950] Speed: 133.92 samples/sec Train-top_k_accuracy_5=0.702734 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 134.39 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 134.39 samples/sec Train-top_k_accuracy_5=0.708828 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 133.98 samples/sec Train-accuracy=0.459375 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 134.34 samples/sec Train-accuracy=0.462813 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 134.34 samples/sec Train-top_k_accuracy_5=0.712266 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 133.79 samples/sec Train-accuracy=0.454219 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.706406 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 134.03 samples/sec Train-accuracy=0.463047 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 134.03 samples/sec Train-top_k_accuracy_5=0.710156 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 134.12 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 134.02 samples/sec Train-accuracy=0.466953 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.710703 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 133.85 samples/sec Train-accuracy=0.458281 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.710781 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 134.15 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.711875 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 133.94 samples/sec Train-accuracy=0.471719 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 134.24 samples/sec Train-accuracy=0.466250 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 134.24 samples/sec Train-top_k_accuracy_5=0.710938 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 134.09 samples/sec Train-accuracy=0.465547 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 134.09 samples/sec Train-top_k_accuracy_5=0.711875 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 133.94 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 133.94 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 133.99 samples/sec Train-accuracy=0.463828 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 133.99 samples/sec Train-top_k_accuracy_5=0.712891 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 134.11 samples/sec Train-accuracy=0.453203 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.703047 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 133.87 samples/sec Train-accuracy=0.463359 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 133.87 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 134.07 samples/sec Train-accuracy=0.461094 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.710781 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 134.00 samples/sec Train-accuracy=0.459766 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.703828 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 133.85 samples/sec Train-accuracy=0.462578 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.710703 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 134.01 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 134.01 samples/sec Train-top_k_accuracy_5=0.711406 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 133.97 samples/sec Train-accuracy=0.458516 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.708906 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 134.15 samples/sec Train-accuracy=0.463750 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 134.15 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 133.93 samples/sec Train-accuracy=0.469453 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 133.93 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 134.00 samples/sec Train-accuracy=0.471172 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.714219 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 133.91 samples/sec Train-accuracy=0.474219 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.717812 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 134.07 samples/sec Train-accuracy=0.462891 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.707344 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 134.04 samples/sec Train-accuracy=0.459844 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 134.04 samples/sec Train-top_k_accuracy_5=0.709609 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 134.08 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 133.97 samples/sec Train-accuracy=0.456875 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.700859 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 134.16 samples/sec Train-accuracy=0.458750 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 134.16 samples/sec Train-accuracy=0.460781 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.705859 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 133.78 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 133.78 samples/sec Train-top_k_accuracy_5=0.716250 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 134.02 samples/sec Train-accuracy=0.462813 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 134.02 samples/sec Train-top_k_accuracy_5=0.710625 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 134.13 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.716172 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 133.89 samples/sec Train-accuracy=0.466250 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 133.89 samples/sec Train-top_k_accuracy_5=0.708203 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 133.85 samples/sec Train-accuracy=0.470859 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 133.85 samples/sec Train-top_k_accuracy_5=0.713672 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 133.91 samples/sec Train-accuracy=0.469844 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.710781 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 133.81 samples/sec Train-accuracy=0.461953 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.706719 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 133.62 samples/sec Train-accuracy=0.465234 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 133.62 samples/sec Train-top_k_accuracy_5=0.710156 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 134.06 samples/sec Train-accuracy=0.461875 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.710313 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 133.84 samples/sec Train-accuracy=0.458984 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 133.84 samples/sec Train-top_k_accuracy_5=0.705313 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 134.18 samples/sec Train-accuracy=0.459922 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.710000 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 133.73 samples/sec Train-accuracy=0.464766 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 133.73 samples/sec Train-top_k_accuracy_5=0.711484 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 134.12 samples/sec Train-accuracy=0.459844 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 134.12 samples/sec Train-top_k_accuracy_5=0.710156 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 133.71 samples/sec Train-accuracy=0.463672 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 133.71 samples/sec Train-top_k_accuracy_5=0.713750 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 133.77 samples/sec Train-accuracy=0.456797 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 133.77 samples/sec Train-top_k_accuracy_5=0.703125 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 134.00 samples/sec Train-accuracy=0.474922 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 134.00 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 133.81 samples/sec Train-accuracy=0.461641 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 133.81 samples/sec Train-top_k_accuracy_5=0.711406 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 134.17 samples/sec Train-accuracy=0.469219 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.716641 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 133.83 samples/sec Train-accuracy=0.463906 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 133.83 samples/sec Train-top_k_accuracy_5=0.711094 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 133.79 samples/sec Train-accuracy=0.465781 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.711875 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 133.97 samples/sec Train-accuracy=0.470625 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.715000 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 134.14 samples/sec Train-accuracy=0.465547 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 134.14 samples/sec Train-top_k_accuracy_5=0.714922 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 134.10 samples/sec Train-accuracy=0.471875 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.717969 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 134.06 samples/sec Train-accuracy=0.463203 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.709844 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 134.06 samples/sec Train-accuracy=0.458984 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.716250 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 134.16 samples/sec Train-accuracy=0.455937 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 134.16 samples/sec Train-top_k_accuracy_5=0.709453 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 133.91 samples/sec Train-accuracy=0.467500 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 133.91 samples/sec Train-top_k_accuracy_5=0.709297 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 133.98 samples/sec Train-accuracy=0.473594 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.714297 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 134.11 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 134.11 samples/sec Train-top_k_accuracy_5=0.711641 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 133.79 samples/sec Train-accuracy=0.463359 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 133.79 samples/sec Train-top_k_accuracy_5=0.703672 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 134.23 samples/sec Train-accuracy=0.466250 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 134.23 samples/sec Train-top_k_accuracy_5=0.709219 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 133.88 samples/sec Train-accuracy=0.464453 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 133.88 samples/sec Train-top_k_accuracy_5=0.707500 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 134.21 samples/sec Train-accuracy=0.462969 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 134.21 samples/sec Train-top_k_accuracy_5=0.712578 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 133.97 samples/sec Train-accuracy=0.471172 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 133.97 samples/sec Train-top_k_accuracy_5=0.710469 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 134.29 samples/sec Train-accuracy=0.473047 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 134.29 samples/sec Train-top_k_accuracy_5=0.716016 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 134.08 samples/sec Train-accuracy=0.465781 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 134.08 samples/sec Train-top_k_accuracy_5=0.709453 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 133.86 samples/sec Train-accuracy=0.473125 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 133.86 samples/sec Train-top_k_accuracy_5=0.711641 | |
| INFO:root:Epoch[9] Batch [4400] Speed: 133.98 samples/sec Train-accuracy=0.470391 | |
| INFO:root:Epoch[9] Batch [4400] Speed: 133.98 samples/sec Train-top_k_accuracy_5=0.718516 | |
| INFO:root:Epoch[9] Batch [4450] Speed: 134.07 samples/sec Train-accuracy=0.467187 | |
| INFO:root:Epoch[9] Batch [4450] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.707031 | |
| INFO:root:Epoch[9] Batch [4500] Speed: 134.18 samples/sec Train-accuracy=0.467344 | |
| INFO:root:Epoch[9] Batch [4500] Speed: 134.18 samples/sec Train-top_k_accuracy_5=0.712031 | |
| INFO:root:Epoch[9] Batch [4550] Speed: 134.10 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[9] Batch [4550] Speed: 134.10 samples/sec Train-top_k_accuracy_5=0.715703 | |
| INFO:root:Epoch[9] Batch [4600] Speed: 134.25 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[9] Batch [4600] Speed: 134.25 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[9] Batch [4650] Speed: 134.13 samples/sec Train-accuracy=0.468672 | |
| INFO:root:Epoch[9] Batch [4650] Speed: 134.13 samples/sec Train-top_k_accuracy_5=0.712891 | |
| INFO:root:Epoch[9] Batch [4700] Speed: 133.72 samples/sec Train-accuracy=0.468281 | |
| INFO:root:Epoch[9] Batch [4700] Speed: 133.72 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[9] Batch [4750] Speed: 134.17 samples/sec Train-accuracy=0.465313 | |
| INFO:root:Epoch[9] Batch [4750] Speed: 134.17 samples/sec Train-top_k_accuracy_5=0.709922 | |
| INFO:root:Epoch[9] Batch [4800] Speed: 133.90 samples/sec Train-accuracy=0.463281 | |
| INFO:root:Epoch[9] Batch [4800] Speed: 133.90 samples/sec Train-top_k_accuracy_5=0.717187 | |
| INFO:root:Epoch[9] Batch [4850] Speed: 133.47 samples/sec Train-accuracy=0.468125 | |
| INFO:root:Epoch[9] Batch [4850] Speed: 133.47 samples/sec Train-top_k_accuracy_5=0.716562 | |
| INFO:root:Epoch[9] Batch [4900] Speed: 134.06 samples/sec Train-accuracy=0.461875 | |
| INFO:root:Epoch[9] Batch [4900] Speed: 134.06 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[9] Batch [4950] Speed: 133.82 samples/sec Train-accuracy=0.465469 | |
| INFO:root:Epoch[9] Batch [4950] Speed: 133.82 samples/sec Train-top_k_accuracy_5=0.712187 | |
| INFO:root:Epoch[9] Batch [5000] Speed: 134.07 samples/sec Train-accuracy=0.471484 | |
| INFO:root:Epoch[9] Batch [5000] Speed: 134.07 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[9] Resetting Data Iterator | |
| INFO:root:Epoch[9] Time cost=9559.047 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0010.params" | |
| INFO:root:Epoch[9] Validation-accuracy=0.508709 | |
| INFO:root:Epoch[9] Validation-top_k_accuracy_5=0.767997 | |
| INFO:root:Namespace(aug_level=2, batch_size=256, bn_mom=0.9, data_dir='/H1/tairuic/ResNet/data/imagenet', data_type='imagenet', depth=101, frequent=50, gpus='0,1,2,3,4,5,6,7', kv_store='device', list_dir='./', lr=0.1, memonger=False, model_load_epoch=10, mom=0.9, num_classes=1000, num_examples=1281167, retrain=True, wd=0.0001, workspace=512) | |
| [19:36:20] src/io/iter_image_recordio.cc:219: ImageRecordIOParser: /H1/tairuic/ResNet/data/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [19:36:21] src/io/iter_image_recordio.cc:219: ImageRecordIOParser: /H1/tairuic/ResNet/data/imagenet/val_256_q90.rec, use 4 threads for decoding.. | |
| INFO:root:Start training with [gpu(0), gpu(1), gpu(2), gpu(3), gpu(4), gpu(5), gpu(6), gpu(7)] | |
| INFO:root:Epoch[10] Batch [50] Speed: 256.39 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[10] Batch [50] Speed: 256.39 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[10] Batch [100] Speed: 243.10 samples/sec Train-accuracy=0.467578 | |
| INFO:root:Epoch[10] Batch [100] Speed: 243.10 samples/sec Train-top_k_accuracy_5=0.710938 | |
| INFO:root:Epoch[10] Batch [150] Speed: 254.94 samples/sec Train-accuracy=0.466562 | |
| INFO:root:Epoch[10] Batch [150] Speed: 254.94 samples/sec Train-top_k_accuracy_5=0.717109 | |
| INFO:root:Epoch[10] Batch [200] Speed: 254.24 samples/sec Train-accuracy=0.460391 | |
| INFO:root:Epoch[10] Batch [200] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.713047 | |
| INFO:root:Epoch[10] Batch [250] Speed: 256.51 samples/sec Train-accuracy=0.464219 | |
| INFO:root:Epoch[10] Batch [250] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.710078 | |
| INFO:root:Epoch[10] Batch [300] Speed: 247.07 samples/sec Train-accuracy=0.461016 | |
| INFO:root:Epoch[10] Batch [300] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.708516 | |
| INFO:root:Epoch[10] Batch [350] Speed: 248.24 samples/sec Train-accuracy=0.469219 | |
| INFO:root:Epoch[10] Batch [350] Speed: 248.24 samples/sec Train-top_k_accuracy_5=0.714609 | |
| INFO:root:Epoch[10] Batch [400] Speed: 249.62 samples/sec Train-accuracy=0.470781 | |
| INFO:root:Epoch[10] Batch [400] Speed: 249.62 samples/sec Train-top_k_accuracy_5=0.716719 | |
| INFO:root:Epoch[10] Batch [450] Speed: 249.79 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[10] Batch [450] Speed: 249.79 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[10] Batch [500] Speed: 244.07 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[10] Batch [500] Speed: 244.07 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[10] Batch [550] Speed: 254.37 samples/sec Train-accuracy=0.466172 | |
| INFO:root:Epoch[10] Batch [550] Speed: 254.37 samples/sec Train-top_k_accuracy_5=0.711562 | |
| INFO:root:Epoch[10] Batch [600] Speed: 258.29 samples/sec Train-accuracy=0.466953 | |
| INFO:root:Epoch[10] Batch [600] Speed: 258.29 samples/sec Train-top_k_accuracy_5=0.709219 | |
| INFO:root:Epoch[10] Batch [650] Speed: 253.15 samples/sec Train-accuracy=0.460234 | |
| INFO:root:Epoch[10] Batch [650] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.710078 | |
| INFO:root:Epoch[10] Batch [700] Speed: 252.97 samples/sec Train-accuracy=0.465625 | |
| INFO:root:Epoch[10] Batch [700] Speed: 252.97 samples/sec Train-top_k_accuracy_5=0.708750 | |
| INFO:root:Epoch[10] Batch [750] Speed: 248.55 samples/sec Train-accuracy=0.468359 | |
| INFO:root:Epoch[10] Batch [750] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.715469 | |
| INFO:root:Epoch[10] Batch [800] Speed: 246.66 samples/sec Train-accuracy=0.465234 | |
| INFO:root:Epoch[10] Batch [800] Speed: 246.66 samples/sec Train-top_k_accuracy_5=0.711172 | |
| INFO:root:Epoch[10] Batch [850] Speed: 243.11 samples/sec Train-accuracy=0.460859 | |
| INFO:root:Epoch[10] Batch [850] Speed: 243.11 samples/sec Train-top_k_accuracy_5=0.706953 | |
| INFO:root:Epoch[10] Batch [900] Speed: 249.15 samples/sec Train-accuracy=0.466875 | |
| INFO:root:Epoch[10] Batch [900] Speed: 249.15 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[10] Batch [950] Speed: 246.67 samples/sec Train-accuracy=0.465547 | |
| INFO:root:Epoch[10] Batch [950] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.712969 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 251.91 samples/sec Train-accuracy=0.465781 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 251.91 samples/sec Train-top_k_accuracy_5=0.717969 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 255.53 samples/sec Train-accuracy=0.469844 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 255.53 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 244.01 samples/sec Train-accuracy=0.470234 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 244.01 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 250.57 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.711328 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 249.12 samples/sec Train-accuracy=0.465313 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 249.12 samples/sec Train-top_k_accuracy_5=0.709609 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 243.66 samples/sec Train-accuracy=0.466719 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 243.66 samples/sec Train-top_k_accuracy_5=0.713828 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 247.36 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 258.33 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 258.33 samples/sec Train-top_k_accuracy_5=0.713437 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 247.47 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 247.47 samples/sec Train-top_k_accuracy_5=0.710156 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 248.69 samples/sec Train-accuracy=0.472656 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 248.69 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 246.80 samples/sec Train-accuracy=0.463203 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 246.80 samples/sec Train-top_k_accuracy_5=0.714766 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 257.41 samples/sec Train-accuracy=0.470313 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.712656 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 253.83 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.713125 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 246.60 samples/sec Train-accuracy=0.473828 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 246.60 samples/sec Train-top_k_accuracy_5=0.716719 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 244.58 samples/sec Train-accuracy=0.458750 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 244.58 samples/sec Train-top_k_accuracy_5=0.707500 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 255.62 samples/sec Train-accuracy=0.463906 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 255.62 samples/sec Train-top_k_accuracy_5=0.713594 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 247.99 samples/sec Train-accuracy=0.471562 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.719609 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 252.45 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.715547 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 251.45 samples/sec Train-accuracy=0.468516 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 251.45 samples/sec Train-top_k_accuracy_5=0.706484 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 243.15 samples/sec Train-accuracy=0.478750 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 243.15 samples/sec Train-top_k_accuracy_5=0.717578 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 246.82 samples/sec Train-accuracy=0.464844 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 246.82 samples/sec Train-top_k_accuracy_5=0.710703 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 253.76 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 253.76 samples/sec Train-top_k_accuracy_5=0.712656 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 247.46 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 247.46 samples/sec Train-top_k_accuracy_5=0.714531 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 255.70 samples/sec Train-accuracy=0.475469 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 255.70 samples/sec Train-top_k_accuracy_5=0.723906 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 251.74 samples/sec Train-accuracy=0.474453 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 251.74 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 244.49 samples/sec Train-accuracy=0.477969 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 244.49 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 252.29 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.711250 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 257.90 samples/sec Train-accuracy=0.469844 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 257.90 samples/sec Train-top_k_accuracy_5=0.714453 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 249.24 samples/sec Train-accuracy=0.468281 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.711016 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 249.51 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.709453 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 251.22 samples/sec Train-accuracy=0.472422 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.713828 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 247.08 samples/sec Train-accuracy=0.474531 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 247.08 samples/sec Train-top_k_accuracy_5=0.716797 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 255.06 samples/sec Train-accuracy=0.463984 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 255.06 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 259.42 samples/sec Train-accuracy=0.467500 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 259.42 samples/sec Train-top_k_accuracy_5=0.716562 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 250.33 samples/sec Train-accuracy=0.462969 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.711641 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 251.07 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 251.07 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 251.85 samples/sec Train-accuracy=0.473203 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 251.85 samples/sec Train-top_k_accuracy_5=0.720938 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 244.29 samples/sec Train-accuracy=0.471094 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 244.29 samples/sec Train-top_k_accuracy_5=0.720859 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 252.22 samples/sec Train-accuracy=0.468438 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 252.22 samples/sec Train-top_k_accuracy_5=0.715938 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 243.62 samples/sec Train-accuracy=0.473438 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 243.62 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 243.33 samples/sec Train-accuracy=0.464609 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 243.33 samples/sec Train-top_k_accuracy_5=0.710078 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 245.29 samples/sec Train-accuracy=0.474453 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 245.29 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 247.76 samples/sec Train-accuracy=0.478203 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 247.76 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 253.06 samples/sec Train-accuracy=0.465703 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 253.06 samples/sec Train-top_k_accuracy_5=0.714453 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 258.52 samples/sec Train-accuracy=0.478047 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 258.52 samples/sec Train-top_k_accuracy_5=0.721328 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 254.00 samples/sec Train-accuracy=0.470469 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.721875 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 251.39 samples/sec Train-accuracy=0.467422 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 251.39 samples/sec Train-top_k_accuracy_5=0.717109 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 243.86 samples/sec Train-accuracy=0.464297 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 243.86 samples/sec Train-top_k_accuracy_5=0.714453 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 246.92 samples/sec Train-accuracy=0.476562 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 246.92 samples/sec Train-top_k_accuracy_5=0.723594 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 247.51 samples/sec Train-accuracy=0.465625 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 247.51 samples/sec Train-top_k_accuracy_5=0.711719 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 247.26 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 247.26 samples/sec Train-top_k_accuracy_5=0.713203 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 243.89 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 243.89 samples/sec Train-top_k_accuracy_5=0.714766 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 243.45 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 243.45 samples/sec Train-top_k_accuracy_5=0.712578 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 244.32 samples/sec Train-accuracy=0.475703 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 244.32 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 250.99 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 250.99 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 245.75 samples/sec Train-accuracy=0.475000 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 245.75 samples/sec Train-top_k_accuracy_5=0.717266 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 248.12 samples/sec Train-accuracy=0.469687 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.711953 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 248.06 samples/sec Train-accuracy=0.482812 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 248.06 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 253.20 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 254.13 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 254.13 samples/sec Train-top_k_accuracy_5=0.713359 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 252.54 samples/sec Train-accuracy=0.470234 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.717266 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 257.34 samples/sec Train-accuracy=0.473047 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 253.75 samples/sec Train-accuracy=0.476797 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 253.75 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 251.71 samples/sec Train-accuracy=0.472734 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 251.71 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 245.84 samples/sec Train-accuracy=0.472891 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 245.84 samples/sec Train-top_k_accuracy_5=0.717734 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 247.44 samples/sec Train-accuracy=0.468438 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 247.44 samples/sec Train-top_k_accuracy_5=0.714141 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 246.33 samples/sec Train-accuracy=0.470781 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 246.33 samples/sec Train-top_k_accuracy_5=0.714766 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 247.39 samples/sec Train-accuracy=0.473750 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 247.39 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 248.09 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 248.09 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 252.50 samples/sec Train-accuracy=0.475391 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 252.50 samples/sec Train-top_k_accuracy_5=0.712734 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 249.69 samples/sec Train-accuracy=0.466016 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 249.69 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 251.19 samples/sec Train-accuracy=0.475156 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.711094 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 244.88 samples/sec Train-accuracy=0.480312 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 244.88 samples/sec Train-top_k_accuracy_5=0.722578 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 252.68 samples/sec Train-accuracy=0.463359 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 252.68 samples/sec Train-top_k_accuracy_5=0.713359 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 248.96 samples/sec Train-accuracy=0.468984 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 248.96 samples/sec Train-top_k_accuracy_5=0.723516 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 248.30 samples/sec Train-accuracy=0.464922 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.711562 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 250.34 samples/sec Train-accuracy=0.475000 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 250.34 samples/sec Train-top_k_accuracy_5=0.720703 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 251.87 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.719844 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 249.96 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[10] Batch [4950] Speed: 246.49 samples/sec Train-accuracy=0.469609 | |
| INFO:root:Epoch[10] Batch [4950] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.720156 | |
| INFO:root:Epoch[10] Batch [5000] Speed: 251.58 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[10] Batch [5000] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.721875 | |
| INFO:root:Epoch[10] Resetting Data Iterator | |
| INFO:root:Epoch[10] Time cost=5137.627 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0011.params" | |
| INFO:root:Epoch[10] Validation-accuracy=0.527722 | |
| INFO:root:Epoch[10] Validation-top_k_accuracy_5=0.783761 | |
| INFO:root:Epoch[11] Batch [50] Speed: 250.66 samples/sec Train-accuracy=0.476875 | |
| INFO:root:Epoch[11] Batch [50] Speed: 250.66 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[11] Batch [100] Speed: 252.92 samples/sec Train-accuracy=0.476016 | |
| INFO:root:Epoch[11] Batch [100] Speed: 252.92 samples/sec Train-top_k_accuracy_5=0.716484 | |
| INFO:root:Epoch[11] Batch [150] Speed: 252.15 samples/sec Train-accuracy=0.470625 | |
| INFO:root:Epoch[11] Batch [150] Speed: 252.15 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[11] Batch [200] Speed: 248.20 samples/sec Train-accuracy=0.472422 | |
| INFO:root:Epoch[11] Batch [200] Speed: 248.20 samples/sec Train-top_k_accuracy_5=0.719375 | |
| INFO:root:Epoch[11] Batch [250] Speed: 256.76 samples/sec Train-accuracy=0.473828 | |
| INFO:root:Epoch[11] Batch [250] Speed: 256.76 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[11] Batch [300] Speed: 246.22 samples/sec Train-accuracy=0.476641 | |
| INFO:root:Epoch[11] Batch [300] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[11] Batch [350] Speed: 246.61 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[11] Batch [350] Speed: 246.61 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[11] Batch [400] Speed: 253.68 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[11] Batch [400] Speed: 253.68 samples/sec Train-top_k_accuracy_5=0.717812 | |
| INFO:root:Epoch[11] Batch [450] Speed: 255.77 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [450] Speed: 255.77 samples/sec Train-top_k_accuracy_5=0.720469 | |
| INFO:root:Epoch[11] Batch [500] Speed: 254.48 samples/sec Train-accuracy=0.477812 | |
| INFO:root:Epoch[11] Batch [500] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.720625 | |
| INFO:root:Epoch[11] Batch [550] Speed: 249.60 samples/sec Train-accuracy=0.467266 | |
| INFO:root:Epoch[11] Batch [550] Speed: 249.60 samples/sec Train-top_k_accuracy_5=0.714922 | |
| INFO:root:Epoch[11] Batch [600] Speed: 249.75 samples/sec Train-accuracy=0.467734 | |
| INFO:root:Epoch[11] Batch [600] Speed: 249.75 samples/sec Train-top_k_accuracy_5=0.713437 | |
| INFO:root:Epoch[11] Batch [650] Speed: 254.76 samples/sec Train-accuracy=0.477656 | |
| INFO:root:Epoch[11] Batch [650] Speed: 254.76 samples/sec Train-top_k_accuracy_5=0.722266 | |
| INFO:root:Epoch[11] Batch [700] Speed: 245.87 samples/sec Train-accuracy=0.469531 | |
| INFO:root:Epoch[11] Batch [700] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[11] Batch [750] Speed: 253.17 samples/sec Train-accuracy=0.476484 | |
| INFO:root:Epoch[11] Batch [750] Speed: 253.17 samples/sec Train-top_k_accuracy_5=0.724609 | |
| INFO:root:Epoch[11] Batch [800] Speed: 257.94 samples/sec Train-accuracy=0.461953 | |
| INFO:root:Epoch[11] Batch [800] Speed: 257.94 samples/sec Train-top_k_accuracy_5=0.708203 | |
| INFO:root:Epoch[11] Batch [850] Speed: 253.30 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [850] Speed: 253.30 samples/sec Train-top_k_accuracy_5=0.713047 | |
| INFO:root:Epoch[11] Batch [900] Speed: 252.77 samples/sec Train-accuracy=0.474766 | |
| INFO:root:Epoch[11] Batch [900] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[11] Batch [950] Speed: 252.06 samples/sec Train-accuracy=0.468281 | |
| INFO:root:Epoch[11] Batch [950] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.720859 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 246.37 samples/sec Train-accuracy=0.470313 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 246.37 samples/sec Train-top_k_accuracy_5=0.714531 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 247.74 samples/sec Train-accuracy=0.476875 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 247.74 samples/sec Train-top_k_accuracy_5=0.722656 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 247.90 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 247.90 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 257.66 samples/sec Train-accuracy=0.470469 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 257.66 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 255.87 samples/sec Train-accuracy=0.474609 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 255.87 samples/sec Train-top_k_accuracy_5=0.719609 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 252.63 samples/sec Train-accuracy=0.470859 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 255.63 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 255.63 samples/sec Train-top_k_accuracy_5=0.720078 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 251.15 samples/sec Train-accuracy=0.467891 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.718984 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 249.94 samples/sec Train-accuracy=0.481016 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.722656 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 257.27 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.726016 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 249.58 samples/sec Train-accuracy=0.476250 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 249.58 samples/sec Train-top_k_accuracy_5=0.718047 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 252.74 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 252.74 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 256.81 samples/sec Train-accuracy=0.471719 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.716016 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 254.61 samples/sec Train-accuracy=0.476875 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.712812 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 254.52 samples/sec Train-accuracy=0.473516 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 251.15 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.717578 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 246.45 samples/sec Train-accuracy=0.473906 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 246.45 samples/sec Train-top_k_accuracy_5=0.722578 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 248.42 samples/sec Train-accuracy=0.471797 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 248.42 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 246.97 samples/sec Train-accuracy=0.479687 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 246.97 samples/sec Train-top_k_accuracy_5=0.721406 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 252.34 samples/sec Train-accuracy=0.481641 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 252.34 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 255.30 samples/sec Train-accuracy=0.469922 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.722187 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 247.27 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 247.27 samples/sec Train-top_k_accuracy_5=0.718594 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 245.91 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 245.91 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 248.32 samples/sec Train-accuracy=0.480469 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.731406 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 252.79 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.726250 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 248.37 samples/sec Train-accuracy=0.482500 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 248.37 samples/sec Train-top_k_accuracy_5=0.726875 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 245.67 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 245.67 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 250.57 samples/sec Train-accuracy=0.482500 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.728594 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 252.65 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 252.65 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 247.47 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 247.47 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 250.18 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 250.18 samples/sec Train-top_k_accuracy_5=0.722969 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 247.89 samples/sec Train-accuracy=0.470859 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 247.89 samples/sec Train-top_k_accuracy_5=0.721719 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 245.36 samples/sec Train-accuracy=0.468203 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 245.36 samples/sec Train-top_k_accuracy_5=0.715000 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 247.54 samples/sec Train-accuracy=0.473750 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 247.54 samples/sec Train-top_k_accuracy_5=0.717187 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 245.72 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 245.72 samples/sec Train-top_k_accuracy_5=0.716094 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 249.95 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 249.95 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 253.88 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.721719 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 256.95 samples/sec Train-accuracy=0.471562 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 256.95 samples/sec Train-top_k_accuracy_5=0.719453 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 247.63 samples/sec Train-accuracy=0.476016 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 247.63 samples/sec Train-top_k_accuracy_5=0.724609 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 248.01 samples/sec Train-accuracy=0.478125 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 249.01 samples/sec Train-accuracy=0.464453 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 249.01 samples/sec Train-top_k_accuracy_5=0.714297 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 256.68 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 256.68 samples/sec Train-top_k_accuracy_5=0.723984 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 259.26 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 259.26 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 246.51 samples/sec Train-accuracy=0.474219 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.719531 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 250.33 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 255.47 samples/sec Train-accuracy=0.472266 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 255.47 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 249.20 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 249.20 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 250.50 samples/sec Train-accuracy=0.472344 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 244.53 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 244.53 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 247.69 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 247.69 samples/sec Train-top_k_accuracy_5=0.721484 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 250.37 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 250.37 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 253.63 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 253.63 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 258.44 samples/sec Train-accuracy=0.482109 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 258.44 samples/sec Train-top_k_accuracy_5=0.720313 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 258.92 samples/sec Train-accuracy=0.483516 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 258.92 samples/sec Train-top_k_accuracy_5=0.719844 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 258.52 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 258.52 samples/sec Train-top_k_accuracy_5=0.723516 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 250.70 samples/sec Train-accuracy=0.471172 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 250.70 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 247.35 samples/sec Train-accuracy=0.476328 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.714609 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 244.01 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 244.01 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 250.68 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 255.66 samples/sec Train-accuracy=0.475859 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 255.66 samples/sec Train-top_k_accuracy_5=0.721094 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 251.61 samples/sec Train-accuracy=0.473750 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.722187 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 246.71 samples/sec Train-accuracy=0.484141 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 253.64 samples/sec Train-accuracy=0.476953 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.722422 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 253.79 samples/sec Train-accuracy=0.481797 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 253.79 samples/sec Train-top_k_accuracy_5=0.721250 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 250.50 samples/sec Train-accuracy=0.482656 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 246.63 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.720313 | |
| INFO:root:Epoch[11] Batch [4300] Speed: 251.57 samples/sec Train-accuracy=0.477109 | |
| INFO:root:Epoch[11] Batch [4300] Speed: 251.57 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[11] Batch [4350] Speed: 251.38 samples/sec Train-accuracy=0.475000 | |
| INFO:root:Epoch[11] Batch [4350] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[11] Batch [4400] Speed: 253.61 samples/sec Train-accuracy=0.472266 | |
| INFO:root:Epoch[11] Batch [4400] Speed: 253.61 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 251.72 samples/sec Train-accuracy=0.474297 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.718281 | |
| INFO:root:Epoch[11] Batch [4500] Speed: 252.41 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[11] Batch [4500] Speed: 252.41 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 251.30 samples/sec Train-accuracy=0.476484 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 251.30 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 255.17 samples/sec Train-accuracy=0.482266 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 255.17 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 251.56 samples/sec Train-accuracy=0.474297 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 251.56 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 252.36 samples/sec Train-accuracy=0.479922 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 252.36 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 246.96 samples/sec Train-accuracy=0.468828 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 246.96 samples/sec Train-top_k_accuracy_5=0.718672 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 248.47 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 248.47 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 244.75 samples/sec Train-accuracy=0.477344 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 244.75 samples/sec Train-top_k_accuracy_5=0.720625 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 254.88 samples/sec Train-accuracy=0.475000 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 254.88 samples/sec Train-top_k_accuracy_5=0.720781 | |
| INFO:root:Epoch[11] Batch [4950] Speed: 258.88 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[11] Batch [4950] Speed: 258.88 samples/sec Train-top_k_accuracy_5=0.723594 | |
| INFO:root:Epoch[11] Batch [5000] Speed: 257.86 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[11] Batch [5000] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Resetting Data Iterator | |
| INFO:root:Epoch[11] Time cost=5099.398 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0012.params" | |
| INFO:root:Epoch[11] Validation-accuracy=0.532565 | |
| INFO:root:Epoch[11] Validation-top_k_accuracy_5=0.789162 | |
| INFO:root:Epoch[12] Batch [50] Speed: 255.63 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[12] Batch [50] Speed: 255.63 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[12] Batch [100] Speed: 252.43 samples/sec Train-accuracy=0.476406 | |
| INFO:root:Epoch[12] Batch [100] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[12] Batch [150] Speed: 250.95 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[12] Batch [150] Speed: 250.95 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[12] Batch [200] Speed: 250.26 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[12] Batch [200] Speed: 250.26 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[12] Batch [250] Speed: 255.62 samples/sec Train-accuracy=0.474844 | |
| INFO:root:Epoch[12] Batch [250] Speed: 255.62 samples/sec Train-top_k_accuracy_5=0.719844 | |
| INFO:root:Epoch[12] Batch [300] Speed: 257.82 samples/sec Train-accuracy=0.485391 | |
| INFO:root:Epoch[12] Batch [300] Speed: 257.82 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[12] Batch [350] Speed: 245.57 samples/sec Train-accuracy=0.483125 | |
| INFO:root:Epoch[12] Batch [350] Speed: 245.57 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[12] Batch [400] Speed: 245.16 samples/sec Train-accuracy=0.478672 | |
| INFO:root:Epoch[12] Batch [400] Speed: 245.16 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[12] Batch [450] Speed: 246.43 samples/sec Train-accuracy=0.479531 | |
| INFO:root:Epoch[12] Batch [450] Speed: 246.43 samples/sec Train-top_k_accuracy_5=0.727500 | |
| INFO:root:Epoch[12] Batch [500] Speed: 248.66 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[12] Batch [500] Speed: 248.66 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[12] Batch [550] Speed: 252.94 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[12] Batch [550] Speed: 252.94 samples/sec Train-top_k_accuracy_5=0.719688 | |
| INFO:root:Epoch[12] Batch [600] Speed: 244.00 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[12] Batch [600] Speed: 244.00 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[12] Batch [650] Speed: 248.05 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[12] Batch [650] Speed: 248.05 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[12] Batch [700] Speed: 254.54 samples/sec Train-accuracy=0.477344 | |
| INFO:root:Epoch[12] Batch [700] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.721719 | |
| INFO:root:Epoch[12] Batch [750] Speed: 258.46 samples/sec Train-accuracy=0.482422 | |
| INFO:root:Epoch[12] Batch [750] Speed: 258.46 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[12] Batch [800] Speed: 251.50 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[12] Batch [800] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[12] Batch [850] Speed: 248.56 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[12] Batch [850] Speed: 248.56 samples/sec Train-top_k_accuracy_5=0.721641 | |
| INFO:root:Epoch[12] Batch [900] Speed: 248.18 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[12] Batch [900] Speed: 248.18 samples/sec Train-top_k_accuracy_5=0.720859 | |
| INFO:root:Epoch[12] Batch [950] Speed: 251.63 samples/sec Train-accuracy=0.475547 | |
| INFO:root:Epoch[12] Batch [950] Speed: 251.63 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 254.75 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 254.75 samples/sec Train-top_k_accuracy_5=0.723672 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 255.49 samples/sec Train-accuracy=0.480469 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 255.49 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 251.61 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 253.31 samples/sec Train-accuracy=0.478750 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.718750 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 250.54 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.722656 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 249.00 samples/sec Train-accuracy=0.476328 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 249.00 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 251.42 samples/sec Train-accuracy=0.477969 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 246.63 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.721484 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 256.41 samples/sec Train-accuracy=0.483281 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 256.41 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 255.00 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 255.00 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 250.78 samples/sec Train-accuracy=0.473594 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 250.78 samples/sec Train-top_k_accuracy_5=0.718594 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 250.47 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 250.47 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 251.22 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 247.69 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 247.69 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 252.28 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 252.28 samples/sec Train-top_k_accuracy_5=0.721875 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 252.88 samples/sec Train-accuracy=0.478984 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.721797 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 247.43 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 247.43 samples/sec Train-top_k_accuracy_5=0.725391 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 246.49 samples/sec Train-accuracy=0.483125 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.726484 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 253.01 samples/sec Train-accuracy=0.484141 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 253.01 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 248.12 samples/sec Train-accuracy=0.482734 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 247.78 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 247.78 samples/sec Train-top_k_accuracy_5=0.720469 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 255.91 samples/sec Train-accuracy=0.477031 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 255.91 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 251.04 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.721094 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 245.18 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 245.18 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 244.48 samples/sec Train-accuracy=0.477734 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 244.48 samples/sec Train-top_k_accuracy_5=0.724375 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 250.25 samples/sec Train-accuracy=0.485156 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 250.25 samples/sec Train-top_k_accuracy_5=0.725859 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 249.76 samples/sec Train-accuracy=0.474453 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 249.76 samples/sec Train-top_k_accuracy_5=0.718594 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 250.31 samples/sec Train-accuracy=0.475547 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 247.28 samples/sec Train-accuracy=0.474687 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 247.28 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 244.60 samples/sec Train-accuracy=0.481484 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 244.60 samples/sec Train-top_k_accuracy_5=0.721641 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 244.97 samples/sec Train-accuracy=0.479453 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 244.97 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 251.58 samples/sec Train-accuracy=0.476406 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 256.51 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.722578 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 250.26 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 250.26 samples/sec Train-top_k_accuracy_5=0.727266 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 243.95 samples/sec Train-accuracy=0.483906 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 243.95 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 249.24 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 250.71 samples/sec Train-accuracy=0.471875 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 250.71 samples/sec Train-top_k_accuracy_5=0.719766 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 244.59 samples/sec Train-accuracy=0.481875 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 244.59 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 247.97 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 247.97 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 253.08 samples/sec Train-accuracy=0.483125 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 253.08 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 248.94 samples/sec Train-accuracy=0.479531 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.724844 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 255.11 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 255.11 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 248.76 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 248.76 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 244.10 samples/sec Train-accuracy=0.478516 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 244.10 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 243.01 samples/sec Train-accuracy=0.478047 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 243.01 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 251.97 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 254.82 samples/sec Train-accuracy=0.481797 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 254.82 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 249.41 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 249.41 samples/sec Train-top_k_accuracy_5=0.721328 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 251.15 samples/sec Train-accuracy=0.474687 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 250.55 samples/sec Train-accuracy=0.485156 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 250.55 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 247.01 samples/sec Train-accuracy=0.480391 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 247.01 samples/sec Train-top_k_accuracy_5=0.724922 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 245.12 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 245.12 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 246.28 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 246.28 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 252.40 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.733906 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 253.64 samples/sec Train-accuracy=0.485469 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 254.94 samples/sec Train-accuracy=0.479297 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 254.94 samples/sec Train-top_k_accuracy_5=0.728281 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 247.63 samples/sec Train-accuracy=0.473438 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 247.63 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 245.76 samples/sec Train-accuracy=0.486250 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 245.76 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 244.36 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 244.36 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 252.47 samples/sec Train-accuracy=0.477187 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 252.47 samples/sec Train-top_k_accuracy_5=0.725469 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 244.14 samples/sec Train-accuracy=0.472891 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 244.14 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 247.50 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 254.49 samples/sec Train-accuracy=0.482734 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 254.49 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 256.59 samples/sec Train-accuracy=0.479141 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 250.40 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 249.98 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.724609 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 244.83 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 244.83 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 250.69 samples/sec Train-accuracy=0.476875 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 250.69 samples/sec Train-top_k_accuracy_5=0.725156 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 245.87 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.728594 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 248.82 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 248.82 samples/sec Train-top_k_accuracy_5=0.726797 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 248.04 samples/sec Train-accuracy=0.476641 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.722109 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 255.27 samples/sec Train-accuracy=0.477812 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 255.27 samples/sec Train-top_k_accuracy_5=0.731172 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 256.77 samples/sec Train-accuracy=0.483906 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 254.51 samples/sec Train-accuracy=0.478281 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 254.51 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 250.09 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 249.32 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 249.32 samples/sec Train-top_k_accuracy_5=0.723828 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 253.82 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 253.82 samples/sec Train-top_k_accuracy_5=0.720859 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 259.45 samples/sec Train-accuracy=0.479453 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 259.45 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 256.93 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 256.93 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[12] Batch [4950] Speed: 253.48 samples/sec Train-accuracy=0.472578 | |
| INFO:root:Epoch[12] Batch [4950] Speed: 253.48 samples/sec Train-top_k_accuracy_5=0.721406 | |
| INFO:root:Epoch[12] Batch [5000] Speed: 249.12 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[12] Batch [5000] Speed: 249.12 samples/sec Train-top_k_accuracy_5=0.731484 | |
| INFO:root:Epoch[12] Resetting Data Iterator | |
| INFO:root:Epoch[12] Time cost=5117.799 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0013.params" | |
| INFO:root:Epoch[12] Validation-accuracy=0.543487 | |
| INFO:root:Epoch[12] Validation-top_k_accuracy_5=0.793826 | |
| INFO:root:Epoch[13] Batch [50] Speed: 253.01 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[13] Batch [50] Speed: 253.01 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[13] Batch [100] Speed: 251.49 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[13] Batch [100] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [150] Speed: 247.99 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[13] Batch [150] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[13] Batch [200] Speed: 255.21 samples/sec Train-accuracy=0.477187 | |
| INFO:root:Epoch[13] Batch [200] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[13] Batch [250] Speed: 246.10 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[13] Batch [250] Speed: 246.10 samples/sec Train-top_k_accuracy_5=0.728359 | |
| INFO:root:Epoch[13] Batch [300] Speed: 245.87 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[13] Batch [300] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[13] Batch [350] Speed: 244.93 samples/sec Train-accuracy=0.482500 | |
| INFO:root:Epoch[13] Batch [350] Speed: 244.93 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[13] Batch [400] Speed: 248.80 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[13] Batch [400] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[13] Batch [450] Speed: 249.70 samples/sec Train-accuracy=0.475859 | |
| INFO:root:Epoch[13] Batch [450] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[13] Batch [500] Speed: 252.17 samples/sec Train-accuracy=0.485938 | |
| INFO:root:Epoch[13] Batch [500] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[13] Batch [550] Speed: 248.46 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[13] Batch [550] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[13] Batch [600] Speed: 254.02 samples/sec Train-accuracy=0.472422 | |
| INFO:root:Epoch[13] Batch [600] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[13] Batch [650] Speed: 256.80 samples/sec Train-accuracy=0.479609 | |
| INFO:root:Epoch[13] Batch [650] Speed: 256.80 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[13] Batch [700] Speed: 254.43 samples/sec Train-accuracy=0.477656 | |
| INFO:root:Epoch[13] Batch [700] Speed: 254.43 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[13] Batch [750] Speed: 250.96 samples/sec Train-accuracy=0.482031 | |
| INFO:root:Epoch[13] Batch [750] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[13] Batch [800] Speed: 247.91 samples/sec Train-accuracy=0.474766 | |
| INFO:root:Epoch[13] Batch [800] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[13] Batch [850] Speed: 246.43 samples/sec Train-accuracy=0.475078 | |
| INFO:root:Epoch[13] Batch [850] Speed: 246.43 samples/sec Train-top_k_accuracy_5=0.718359 | |
| INFO:root:Epoch[13] Batch [900] Speed: 250.98 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[13] Batch [900] Speed: 250.98 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[13] Batch [950] Speed: 252.38 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[13] Batch [950] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 258.57 samples/sec Train-accuracy=0.482422 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 258.57 samples/sec Train-top_k_accuracy_5=0.730703 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 257.60 samples/sec Train-accuracy=0.476797 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 257.60 samples/sec Train-top_k_accuracy_5=0.722422 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 254.35 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 254.35 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 251.53 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 251.53 samples/sec Train-top_k_accuracy_5=0.728359 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 245.52 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 245.52 samples/sec Train-top_k_accuracy_5=0.723359 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 246.91 samples/sec Train-accuracy=0.482422 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 246.91 samples/sec Train-top_k_accuracy_5=0.725156 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 250.51 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 250.51 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 258.68 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 258.68 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 259.95 samples/sec Train-accuracy=0.482031 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 259.95 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 258.86 samples/sec Train-accuracy=0.486875 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 258.86 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 257.38 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 257.38 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 256.43 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 256.43 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 249.45 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 245.93 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 245.93 samples/sec Train-top_k_accuracy_5=0.726484 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 244.14 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 244.14 samples/sec Train-top_k_accuracy_5=0.722187 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 248.00 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 248.00 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 247.28 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 247.28 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 247.61 samples/sec Train-accuracy=0.485156 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 247.61 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 247.81 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 257.34 samples/sec Train-accuracy=0.479453 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 257.42 samples/sec Train-accuracy=0.489453 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 251.04 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.723750 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 259.14 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 259.14 samples/sec Train-top_k_accuracy_5=0.723828 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 253.99 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 253.99 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 254.30 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 254.30 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 254.24 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 251.38 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.726484 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 257.25 samples/sec Train-accuracy=0.481719 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 257.25 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 251.96 samples/sec Train-accuracy=0.483516 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 247.64 samples/sec Train-accuracy=0.482969 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 245.07 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 245.07 samples/sec Train-top_k_accuracy_5=0.721328 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 254.70 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 254.70 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 255.31 samples/sec Train-accuracy=0.477344 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 255.31 samples/sec Train-top_k_accuracy_5=0.723359 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 257.52 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 257.52 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 252.69 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 257.75 samples/sec Train-accuracy=0.483047 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 257.75 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 249.26 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 249.26 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 251.52 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 243.69 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 243.69 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 247.93 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 247.93 samples/sec Train-top_k_accuracy_5=0.726797 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 245.88 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 245.88 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 252.54 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 257.93 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 257.93 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 257.84 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 257.84 samples/sec Train-top_k_accuracy_5=0.728594 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 249.09 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 249.09 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 246.78 samples/sec Train-accuracy=0.477812 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 246.78 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 253.04 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 253.04 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 250.19 samples/sec Train-accuracy=0.479219 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 250.19 samples/sec Train-top_k_accuracy_5=0.723594 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 243.37 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 243.37 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 249.00 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 249.00 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 247.97 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 247.97 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 251.13 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 251.13 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 250.89 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 252.32 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 247.41 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 247.41 samples/sec Train-top_k_accuracy_5=0.731328 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 246.39 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 246.39 samples/sec Train-top_k_accuracy_5=0.721797 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 253.20 samples/sec Train-accuracy=0.479766 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 250.31 samples/sec Train-accuracy=0.486875 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 253.47 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 253.47 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 249.17 samples/sec Train-accuracy=0.479141 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 249.17 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 256.71 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 256.71 samples/sec Train-top_k_accuracy_5=0.722109 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 257.24 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.727031 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 254.84 samples/sec Train-accuracy=0.482422 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 254.84 samples/sec Train-top_k_accuracy_5=0.726641 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 245.28 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 245.28 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 257.29 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 257.29 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 254.00 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 259.49 samples/sec Train-accuracy=0.486719 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 259.49 samples/sec Train-top_k_accuracy_5=0.730469 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 256.75 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 256.75 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 255.64 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 255.64 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 259.29 samples/sec Train-accuracy=0.488594 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 259.29 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 257.34 samples/sec Train-accuracy=0.484219 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.726797 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 258.95 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 258.95 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 250.84 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 250.84 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 248.91 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 248.91 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 249.37 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 249.37 samples/sec Train-top_k_accuracy_5=0.726484 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 252.57 samples/sec Train-accuracy=0.475156 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 244.91 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 244.91 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 249.50 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 249.50 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 248.03 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[13] Batch [4950] Speed: 250.24 samples/sec Train-accuracy=0.484141 | |
| INFO:root:Epoch[13] Batch [4950] Speed: 250.24 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[13] Batch [5000] Speed: 253.23 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[13] Batch [5000] Speed: 253.23 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[13] Resetting Data Iterator | |
| INFO:root:Epoch[13] Time cost=5089.460 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0014.params" | |
| INFO:root:Epoch[13] Validation-accuracy=0.557199 | |
| INFO:root:Epoch[13] Validation-top_k_accuracy_5=0.805166 | |
| INFO:root:Epoch[14] Batch [50] Speed: 246.89 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[14] Batch [50] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[14] Batch [100] Speed: 250.42 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[14] Batch [100] Speed: 250.42 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[14] Batch [150] Speed: 249.41 samples/sec Train-accuracy=0.485469 | |
| INFO:root:Epoch[14] Batch [150] Speed: 249.41 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[14] Batch [200] Speed: 255.08 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[14] Batch [200] Speed: 255.08 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[14] Batch [250] Speed: 247.30 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[14] Batch [250] Speed: 247.30 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[14] Batch [300] Speed: 258.05 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[14] Batch [300] Speed: 258.05 samples/sec Train-top_k_accuracy_5=0.729609 | |
| INFO:root:Epoch[14] Batch [350] Speed: 250.92 samples/sec Train-accuracy=0.480391 | |
| INFO:root:Epoch[14] Batch [350] Speed: 250.92 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[14] Batch [400] Speed: 257.71 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[14] Batch [400] Speed: 257.71 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[14] Batch [450] Speed: 251.25 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[14] Batch [450] Speed: 251.25 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[14] Batch [500] Speed: 254.14 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[14] Batch [500] Speed: 254.14 samples/sec Train-top_k_accuracy_5=0.722109 | |
| INFO:root:Epoch[14] Batch [550] Speed: 249.93 samples/sec Train-accuracy=0.480312 | |
| INFO:root:Epoch[14] Batch [550] Speed: 249.93 samples/sec Train-top_k_accuracy_5=0.724219 | |
| INFO:root:Epoch[14] Batch [600] Speed: 247.85 samples/sec Train-accuracy=0.480625 | |
| INFO:root:Epoch[14] Batch [600] Speed: 247.85 samples/sec Train-top_k_accuracy_5=0.725859 | |
| INFO:root:Epoch[14] Batch [650] Speed: 248.45 samples/sec Train-accuracy=0.482109 | |
| INFO:root:Epoch[14] Batch [650] Speed: 248.45 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[14] Batch [700] Speed: 247.65 samples/sec Train-accuracy=0.483047 | |
| INFO:root:Epoch[14] Batch [700] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[14] Batch [750] Speed: 254.02 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[14] Batch [750] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[14] Batch [800] Speed: 251.14 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[14] Batch [800] Speed: 251.14 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[14] Batch [850] Speed: 245.59 samples/sec Train-accuracy=0.479922 | |
| INFO:root:Epoch[14] Batch [850] Speed: 245.59 samples/sec Train-top_k_accuracy_5=0.723750 | |
| INFO:root:Epoch[14] Batch [900] Speed: 255.88 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[14] Batch [900] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.728906 | |
| INFO:root:Epoch[14] Batch [950] Speed: 249.79 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[14] Batch [950] Speed: 249.79 samples/sec Train-top_k_accuracy_5=0.728281 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 256.54 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 256.54 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 248.24 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 248.24 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 254.32 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 249.28 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 249.28 samples/sec Train-top_k_accuracy_5=0.727656 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 256.02 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 256.02 samples/sec Train-top_k_accuracy_5=0.729375 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 250.49 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 250.49 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 249.53 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.728828 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 247.05 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 247.05 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 250.66 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 250.66 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 253.58 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 253.58 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 252.23 samples/sec Train-accuracy=0.484297 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 246.97 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 246.97 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 246.67 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 245.72 samples/sec Train-accuracy=0.483750 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 245.72 samples/sec Train-top_k_accuracy_5=0.722422 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 249.86 samples/sec Train-accuracy=0.474922 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 249.86 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 247.46 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 247.46 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 250.74 samples/sec Train-accuracy=0.488594 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 250.74 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 244.33 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 244.33 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 246.56 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 248.25 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 248.25 samples/sec Train-top_k_accuracy_5=0.731328 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 252.10 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 252.10 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 245.91 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 245.91 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 252.59 samples/sec Train-accuracy=0.485938 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 252.59 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 245.83 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 245.83 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 250.89 samples/sec Train-accuracy=0.483281 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 249.21 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 249.21 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 256.29 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 256.29 samples/sec Train-top_k_accuracy_5=0.723906 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 253.57 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 253.57 samples/sec Train-top_k_accuracy_5=0.728594 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 248.60 samples/sec Train-accuracy=0.488750 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 248.60 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 249.42 samples/sec Train-accuracy=0.479141 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 250.22 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 250.22 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 247.94 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 247.94 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 256.83 samples/sec Train-accuracy=0.475781 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 256.83 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 248.93 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.727734 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 243.75 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 243.75 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 245.37 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 245.37 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 247.99 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 248.22 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 248.22 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 250.26 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 250.26 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 249.36 samples/sec Train-accuracy=0.485938 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 249.36 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 247.03 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 252.02 samples/sec Train-accuracy=0.484844 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 252.02 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 251.08 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 251.08 samples/sec Train-top_k_accuracy_5=0.731484 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 246.26 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 246.26 samples/sec Train-top_k_accuracy_5=0.727734 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 256.56 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 256.56 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 251.98 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 251.98 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 255.97 samples/sec Train-accuracy=0.483516 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 255.97 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 252.04 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 252.04 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 250.55 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 250.55 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 247.36 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 243.36 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 243.36 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 246.42 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 246.42 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 249.00 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 249.00 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 248.97 samples/sec Train-accuracy=0.488594 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 246.54 samples/sec Train-accuracy=0.483516 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 246.54 samples/sec Train-top_k_accuracy_5=0.726406 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 251.26 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 251.26 samples/sec Train-top_k_accuracy_5=0.729609 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 251.16 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 251.16 samples/sec Train-top_k_accuracy_5=0.726016 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 257.77 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 249.29 samples/sec Train-accuracy=0.493984 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 246.16 samples/sec Train-accuracy=0.485469 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.724219 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 251.12 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 251.12 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 248.00 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 248.00 samples/sec Train-top_k_accuracy_5=0.735156 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 256.65 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 256.65 samples/sec Train-top_k_accuracy_5=0.730469 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 246.04 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 246.04 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 252.22 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 252.22 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 250.21 samples/sec Train-accuracy=0.483672 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 256.77 samples/sec Train-accuracy=0.482969 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 252.62 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 252.62 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 248.61 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 248.61 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 250.57 samples/sec Train-accuracy=0.483906 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 256.56 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 256.56 samples/sec Train-top_k_accuracy_5=0.725859 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 251.84 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 253.02 samples/sec Train-accuracy=0.491094 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 253.02 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 251.83 samples/sec Train-accuracy=0.484609 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 250.41 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 250.41 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 247.37 samples/sec Train-accuracy=0.481172 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 247.37 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 250.71 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 250.71 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 248.65 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 248.65 samples/sec Train-top_k_accuracy_5=0.728828 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 253.55 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 253.55 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[14] Batch [4950] Speed: 246.15 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[14] Batch [4950] Speed: 246.15 samples/sec Train-top_k_accuracy_5=0.724141 | |
| INFO:root:Epoch[14] Batch [5000] Speed: 251.47 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[14] Batch [5000] Speed: 251.47 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[14] Resetting Data Iterator | |
| INFO:root:Epoch[14] Time cost=5118.348 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0015.params" | |
| INFO:root:Epoch[14] Validation-accuracy=0.547652 | |
| INFO:root:Epoch[14] Validation-top_k_accuracy_5=0.799466 | |
| INFO:root:Epoch[15] Batch [50] Speed: 248.78 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[15] Batch [50] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.733750 | |
| INFO:root:Epoch[15] Batch [100] Speed: 252.41 samples/sec Train-accuracy=0.487969 | |
| INFO:root:Epoch[15] Batch [100] Speed: 252.41 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[15] Batch [150] Speed: 257.86 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[15] Batch [150] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[15] Batch [200] Speed: 256.31 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [200] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.728281 | |
| INFO:root:Epoch[15] Batch [250] Speed: 247.96 samples/sec Train-accuracy=0.485938 | |
| INFO:root:Epoch[15] Batch [250] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[15] Batch [300] Speed: 248.13 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[15] Batch [300] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[15] Batch [350] Speed: 249.91 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[15] Batch [350] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[15] Batch [400] Speed: 245.47 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[15] Batch [400] Speed: 245.47 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[15] Batch [450] Speed: 254.89 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[15] Batch [450] Speed: 254.89 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[15] Batch [500] Speed: 256.06 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[15] Batch [500] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.727266 | |
| INFO:root:Epoch[15] Batch [550] Speed: 256.49 samples/sec Train-accuracy=0.482969 | |
| INFO:root:Epoch[15] Batch [550] Speed: 256.49 samples/sec Train-top_k_accuracy_5=0.726250 | |
| INFO:root:Epoch[15] Batch [600] Speed: 252.54 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[15] Batch [600] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.728594 | |
| INFO:root:Epoch[15] Batch [650] Speed: 255.62 samples/sec Train-accuracy=0.486875 | |
| INFO:root:Epoch[15] Batch [650] Speed: 255.62 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[15] Batch [700] Speed: 255.67 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[15] Batch [700] Speed: 255.67 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[15] Batch [750] Speed: 250.32 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[15] Batch [750] Speed: 250.32 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[15] Batch [800] Speed: 246.99 samples/sec Train-accuracy=0.481484 | |
| INFO:root:Epoch[15] Batch [800] Speed: 246.99 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[15] Batch [850] Speed: 255.02 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[15] Batch [850] Speed: 255.02 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[15] Batch [900] Speed: 251.60 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[15] Batch [900] Speed: 251.60 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[15] Batch [950] Speed: 251.23 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[15] Batch [950] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 250.30 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 246.17 samples/sec Train-accuracy=0.491406 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 254.20 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 254.20 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 246.01 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 246.01 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 254.18 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 253.72 samples/sec Train-accuracy=0.486953 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 253.72 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 254.33 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 257.40 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 257.40 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 251.86 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 251.86 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 250.04 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 250.04 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 245.62 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 245.87 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 257.42 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 255.49 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 255.49 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 252.89 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 252.89 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 246.66 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 246.66 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 247.45 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 244.13 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 244.13 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 244.70 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 244.70 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 255.25 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 255.25 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 247.38 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 247.38 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 246.58 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 250.49 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 250.49 samples/sec Train-top_k_accuracy_5=0.729375 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 254.81 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 254.81 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 256.44 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 256.44 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 257.47 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 257.47 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 257.92 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 257.92 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 250.46 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 249.08 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 249.08 samples/sec Train-top_k_accuracy_5=0.722656 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 249.44 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.727656 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 246.37 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 246.37 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 244.73 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 244.73 samples/sec Train-top_k_accuracy_5=0.729375 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 244.46 samples/sec Train-accuracy=0.481641 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 244.46 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 249.89 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 249.89 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 250.35 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 249.99 samples/sec Train-accuracy=0.487812 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 249.99 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 253.45 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 253.45 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 253.99 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 253.99 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 253.71 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 244.37 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 244.37 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 248.44 samples/sec Train-accuracy=0.486719 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 248.44 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 245.34 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 249.27 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 249.27 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 251.03 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 251.03 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 254.35 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 254.35 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 249.41 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 249.41 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 246.56 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.731328 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 245.51 samples/sec Train-accuracy=0.483906 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 245.51 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 248.87 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 248.40 samples/sec Train-accuracy=0.481719 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 244.81 samples/sec Train-accuracy=0.490625 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 244.81 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 245.19 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 245.19 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 248.19 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 248.19 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 250.53 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 250.53 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 248.57 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 245.58 samples/sec Train-accuracy=0.488750 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 245.58 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 253.98 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 253.98 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 253.43 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 253.43 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 255.68 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 255.68 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 248.62 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 248.62 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 248.05 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 248.05 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 251.63 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 251.63 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 250.18 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 250.18 samples/sec Train-top_k_accuracy_5=0.734531 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 249.14 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 249.93 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 249.93 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 249.44 samples/sec Train-accuracy=0.488203 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 252.01 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 252.01 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 250.44 samples/sec Train-accuracy=0.485391 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 250.44 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 252.80 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 247.97 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 247.97 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 250.74 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 250.74 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 249.72 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 249.72 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 250.02 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 250.02 samples/sec Train-top_k_accuracy_5=0.732422 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 253.83 samples/sec Train-accuracy=0.486875 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 248.04 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 246.35 samples/sec Train-accuracy=0.483125 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 246.35 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 252.40 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 248.37 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 248.37 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 251.69 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[15] Batch [4950] Speed: 250.77 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[15] Batch [4950] Speed: 250.77 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[15] Batch [5000] Speed: 259.49 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[15] Batch [5000] Speed: 259.49 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[15] Resetting Data Iterator | |
| INFO:root:Epoch[15] Time cost=5113.630 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0016.params" | |
| INFO:root:Epoch[15] Validation-accuracy=0.553492 | |
| INFO:root:Epoch[15] Validation-top_k_accuracy_5=0.803312 | |
| INFO:root:Epoch[16] Batch [50] Speed: 254.60 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[16] Batch [50] Speed: 254.60 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[16] Batch [100] Speed: 245.20 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[16] Batch [100] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[16] Batch [150] Speed: 252.49 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[16] Batch [150] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[16] Batch [200] Speed: 250.39 samples/sec Train-accuracy=0.486250 | |
| INFO:root:Epoch[16] Batch [200] Speed: 250.39 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[16] Batch [250] Speed: 245.01 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[16] Batch [250] Speed: 245.01 samples/sec Train-top_k_accuracy_5=0.731172 | |
| INFO:root:Epoch[16] Batch [300] Speed: 249.77 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[16] Batch [300] Speed: 249.77 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[16] Batch [350] Speed: 253.86 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[16] Batch [350] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[16] Batch [400] Speed: 254.04 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[16] Batch [400] Speed: 254.04 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[16] Batch [450] Speed: 251.42 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[16] Batch [450] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[16] Batch [500] Speed: 256.63 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[16] Batch [500] Speed: 256.63 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[16] Batch [550] Speed: 253.81 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[16] Batch [550] Speed: 253.81 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[16] Batch [600] Speed: 255.74 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[16] Batch [600] Speed: 255.74 samples/sec Train-top_k_accuracy_5=0.730469 | |
| INFO:root:Epoch[16] Batch [650] Speed: 253.71 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[16] Batch [650] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[16] Batch [700] Speed: 249.29 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[16] Batch [700] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[16] Batch [750] Speed: 251.82 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[16] Batch [750] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[16] Batch [800] Speed: 246.93 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[16] Batch [800] Speed: 246.93 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[16] Batch [850] Speed: 250.65 samples/sec Train-accuracy=0.484297 | |
| INFO:root:Epoch[16] Batch [850] Speed: 250.65 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[16] Batch [900] Speed: 252.10 samples/sec Train-accuracy=0.491172 | |
| INFO:root:Epoch[16] Batch [900] Speed: 252.10 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[16] Batch [950] Speed: 255.06 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[16] Batch [950] Speed: 255.06 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 256.40 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 256.40 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 253.24 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 253.24 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 254.02 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 256.56 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 256.56 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 251.15 samples/sec Train-accuracy=0.486719 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 250.33 samples/sec Train-accuracy=0.482812 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 253.19 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 253.19 samples/sec Train-top_k_accuracy_5=0.730469 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 256.15 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 252.39 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 245.75 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 245.75 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 256.57 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 256.57 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 250.40 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 250.43 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 251.20 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 251.20 samples/sec Train-top_k_accuracy_5=0.732422 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 245.37 samples/sec Train-accuracy=0.479609 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 245.37 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 252.65 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 252.65 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 258.07 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 247.50 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 253.54 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 254.56 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 247.52 samples/sec Train-accuracy=0.483594 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 247.52 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 251.65 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 247.54 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 247.54 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 249.19 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 249.19 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 248.69 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 248.69 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 256.33 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 256.33 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 250.28 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.735156 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 244.00 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 244.00 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 248.35 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 251.10 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 251.02 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 253.51 samples/sec Train-accuracy=0.487969 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 253.51 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 257.91 samples/sec Train-accuracy=0.479219 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 257.91 samples/sec Train-top_k_accuracy_5=0.725859 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 249.49 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 249.49 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 254.86 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 254.86 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 244.72 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 244.72 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 252.15 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 252.15 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 244.71 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 244.71 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 254.16 samples/sec Train-accuracy=0.490625 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 254.16 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 249.83 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 249.83 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 248.41 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 251.75 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 247.22 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 251.02 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 254.92 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 254.92 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 249.61 samples/sec Train-accuracy=0.481016 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 256.53 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 256.53 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 246.55 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 246.55 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 248.95 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 248.95 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 253.17 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 253.17 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 247.30 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 247.30 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 250.75 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 250.75 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 247.29 samples/sec Train-accuracy=0.491172 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 247.29 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 248.80 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 249.57 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 249.57 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 251.44 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.727734 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 250.20 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 250.20 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 256.06 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 249.78 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 249.07 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 249.07 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 254.36 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 245.69 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 251.37 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 257.17 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 257.17 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 247.52 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 247.52 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 247.75 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 247.75 samples/sec Train-top_k_accuracy_5=0.731328 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 245.86 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 245.86 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 245.19 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 245.19 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 248.88 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 248.88 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 249.26 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 249.26 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 251.49 samples/sec Train-accuracy=0.486953 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[16] Batch [4550] Speed: 248.36 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[16] Batch [4550] Speed: 248.36 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[16] Batch [4600] Speed: 255.47 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[16] Batch [4600] Speed: 255.47 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 256.57 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 256.57 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 253.25 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 253.25 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[16] Batch [4750] Speed: 252.50 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[16] Batch [4750] Speed: 252.50 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 248.11 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 248.11 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 247.66 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 247.66 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 251.35 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 251.35 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[16] Batch [4950] Speed: 249.44 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[16] Batch [4950] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[16] Batch [5000] Speed: 249.28 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[16] Batch [5000] Speed: 249.28 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[16] Resetting Data Iterator | |
| INFO:root:Epoch[16] Time cost=5104.160 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0017.params" | |
| INFO:root:Epoch[16] Validation-accuracy=0.552216 | |
| INFO:root:Epoch[16] Validation-top_k_accuracy_5=0.804428 | |
| INFO:root:Epoch[17] Batch [50] Speed: 245.86 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[17] Batch [50] Speed: 245.86 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[17] Batch [100] Speed: 253.01 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[17] Batch [100] Speed: 253.01 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[17] Batch [150] Speed: 254.08 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[17] Batch [150] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[17] Batch [200] Speed: 248.03 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[17] Batch [200] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[17] Batch [250] Speed: 244.02 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[17] Batch [250] Speed: 244.02 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[17] Batch [300] Speed: 246.96 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[17] Batch [300] Speed: 246.96 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[17] Batch [350] Speed: 245.77 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[17] Batch [350] Speed: 245.77 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[17] Batch [400] Speed: 245.52 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[17] Batch [400] Speed: 245.52 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[17] Batch [450] Speed: 245.81 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[17] Batch [450] Speed: 245.81 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[17] Batch [500] Speed: 248.45 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[17] Batch [500] Speed: 248.45 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[17] Batch [550] Speed: 251.67 samples/sec Train-accuracy=0.491250 | |
| INFO:root:Epoch[17] Batch [550] Speed: 251.67 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[17] Batch [600] Speed: 253.93 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[17] Batch [600] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.726641 | |
| INFO:root:Epoch[17] Batch [650] Speed: 253.41 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[17] Batch [650] Speed: 253.41 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[17] Batch [700] Speed: 243.09 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[17] Batch [700] Speed: 243.09 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[17] Batch [750] Speed: 246.80 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[17] Batch [750] Speed: 246.80 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[17] Batch [800] Speed: 252.53 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[17] Batch [800] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[17] Batch [850] Speed: 254.87 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[17] Batch [850] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[17] Batch [900] Speed: 246.87 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[17] Batch [900] Speed: 246.87 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[17] Batch [950] Speed: 247.59 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[17] Batch [950] Speed: 247.59 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 250.14 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 250.14 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 250.61 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 258.64 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 258.64 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 248.51 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 251.79 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 251.79 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 247.29 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 247.29 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 248.64 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 248.64 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 254.19 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 254.19 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 248.80 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 247.65 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 255.37 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 258.90 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 258.90 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 255.81 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 255.81 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 257.95 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 257.95 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 251.35 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 251.35 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 254.74 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 254.74 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 249.48 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 249.48 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 250.38 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 250.36 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 250.36 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 252.68 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 252.68 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 248.10 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 248.10 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 249.16 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 249.16 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 258.70 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 258.70 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 257.99 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 253.98 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 253.98 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 249.09 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 249.09 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 253.22 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 253.22 samples/sec Train-top_k_accuracy_5=0.733750 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 250.73 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 250.73 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 250.56 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 250.56 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 255.52 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 255.52 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 251.37 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.735156 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 249.69 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 249.69 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 248.87 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 245.16 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 245.16 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 245.28 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 245.28 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 257.83 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 257.83 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 254.85 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 254.85 samples/sec Train-top_k_accuracy_5=0.731406 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 249.43 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 249.43 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 252.38 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 249.08 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 249.08 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 248.06 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 248.06 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 246.51 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 245.46 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 245.46 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 254.28 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 254.28 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 251.27 samples/sec Train-accuracy=0.491250 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 249.55 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 249.55 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 251.36 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 244.67 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 244.67 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 249.78 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 253.06 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 253.06 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 254.63 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 254.63 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 251.40 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 251.40 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 249.67 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 247.68 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 247.68 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 251.18 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 254.62 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 254.62 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 247.91 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 248.74 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 248.74 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 251.32 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 251.32 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 250.73 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 250.73 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 253.65 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 249.56 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 254.77 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 254.77 samples/sec Train-top_k_accuracy_5=0.737891 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 258.15 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 258.15 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 254.56 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.735156 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 254.71 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 254.71 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 252.74 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 252.74 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 251.68 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 251.68 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 244.42 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 244.42 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 248.97 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 244.01 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 244.01 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 255.39 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 255.39 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 251.97 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 253.88 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 245.36 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 245.36 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 250.01 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 254.02 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 252.68 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 252.68 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 251.08 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 251.08 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[17] Batch [4950] Speed: 255.16 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[17] Batch [4950] Speed: 255.16 samples/sec Train-top_k_accuracy_5=0.727656 | |
| INFO:root:Epoch[17] Batch [5000] Speed: 258.77 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[17] Batch [5000] Speed: 258.77 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[17] Resetting Data Iterator | |
| INFO:root:Epoch[17] Time cost=5106.065 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0018.params" | |
| INFO:root:Epoch[17] Validation-accuracy=0.561165 | |
| INFO:root:Epoch[17] Validation-top_k_accuracy_5=0.808654 | |
| INFO:root:Epoch[18] Batch [50] Speed: 250.02 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[18] Batch [50] Speed: 250.02 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[18] Batch [100] Speed: 249.24 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[18] Batch [100] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[18] Batch [150] Speed: 253.88 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[18] Batch [150] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[18] Batch [200] Speed: 248.84 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[18] Batch [200] Speed: 248.84 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[18] Batch [250] Speed: 259.19 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[18] Batch [250] Speed: 259.19 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[18] Batch [300] Speed: 252.11 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[18] Batch [300] Speed: 252.11 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[18] Batch [350] Speed: 252.92 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[18] Batch [350] Speed: 252.92 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[18] Batch [400] Speed: 256.44 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[18] Batch [400] Speed: 256.44 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[18] Batch [450] Speed: 253.94 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[18] Batch [450] Speed: 253.94 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[18] Batch [500] Speed: 256.63 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[18] Batch [500] Speed: 256.63 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[18] Batch [550] Speed: 248.73 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[18] Batch [550] Speed: 248.73 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[18] Batch [600] Speed: 248.01 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[18] Batch [600] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[18] Batch [650] Speed: 257.57 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[18] Batch [650] Speed: 257.57 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[18] Batch [700] Speed: 251.19 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[18] Batch [700] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[18] Batch [750] Speed: 250.68 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[18] Batch [750] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[18] Batch [800] Speed: 248.87 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[18] Batch [800] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[18] Batch [850] Speed: 250.01 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[18] Batch [850] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[18] Batch [900] Speed: 243.66 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[18] Batch [900] Speed: 243.66 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[18] Batch [950] Speed: 248.55 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[18] Batch [950] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 246.04 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 246.04 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 245.83 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 245.83 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 246.56 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 254.54 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 258.27 samples/sec Train-accuracy=0.482109 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 258.27 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 257.71 samples/sec Train-accuracy=0.491250 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 257.71 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 254.26 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 256.94 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 256.94 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 253.18 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 247.76 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 247.76 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 250.13 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 250.13 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 249.75 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 249.75 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 251.98 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 251.98 samples/sec Train-top_k_accuracy_5=0.731484 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 247.59 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 247.59 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 256.82 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 256.82 samples/sec Train-top_k_accuracy_5=0.731484 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 254.61 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 247.25 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 247.59 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 247.59 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 247.93 samples/sec Train-accuracy=0.494063 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 247.93 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 252.57 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 251.32 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 251.32 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 253.32 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 253.32 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 247.71 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 247.71 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 248.80 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 247.19 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 247.19 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 247.25 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 248.71 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 248.71 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 256.62 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 256.62 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 252.39 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 247.24 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 247.24 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 246.03 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 246.03 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 247.85 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 247.85 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 255.16 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 255.16 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 250.46 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 253.88 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 245.87 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 249.56 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 250.10 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 251.96 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 250.19 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 250.19 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 256.65 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 256.65 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 253.54 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 254.52 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 248.01 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 250.79 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 250.79 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 254.33 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 254.54 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 247.38 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 247.38 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 244.09 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 244.09 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 249.43 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 249.43 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 255.23 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 255.23 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 253.93 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 245.69 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 254.22 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 248.91 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 248.91 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 257.72 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 257.72 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 250.81 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 250.81 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 252.72 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 252.72 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 258.37 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 258.37 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 253.75 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 253.75 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 255.67 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 255.67 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 256.92 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 256.92 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 254.42 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 245.71 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 245.71 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 249.67 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 255.66 samples/sec Train-accuracy=0.494688 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 255.66 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 254.20 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 254.20 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 257.31 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 257.31 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 251.02 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 256.25 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 256.25 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 249.24 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 248.77 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 248.77 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 243.84 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 243.84 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 247.44 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 247.44 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 249.66 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 249.36 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 249.36 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 249.02 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 249.02 samples/sec Train-top_k_accuracy_5=0.737891 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 251.18 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 254.61 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[18] Batch [4950] Speed: 254.86 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[18] Batch [4950] Speed: 254.86 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[18] Batch [5000] Speed: 256.62 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[18] Batch [5000] Speed: 256.62 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[18] Resetting Data Iterator | |
| INFO:root:Epoch[18] Time cost=5096.911 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0019.params" | |
| INFO:root:Epoch[18] Validation-accuracy=0.548350 | |
| INFO:root:Epoch[18] Validation-top_k_accuracy_5=0.798410 | |
| INFO:root:Epoch[19] Batch [50] Speed: 251.23 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[19] Batch [50] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[19] Batch [100] Speed: 249.61 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[19] Batch [100] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[19] Batch [150] Speed: 247.93 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[19] Batch [150] Speed: 247.93 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[19] Batch [200] Speed: 248.57 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[19] Batch [200] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[19] Batch [250] Speed: 257.35 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[19] Batch [250] Speed: 257.35 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[19] Batch [300] Speed: 250.05 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[19] Batch [300] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[19] Batch [350] Speed: 246.00 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[19] Batch [350] Speed: 246.00 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[19] Batch [400] Speed: 258.36 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[19] Batch [400] Speed: 258.36 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[19] Batch [450] Speed: 245.68 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[19] Batch [450] Speed: 245.68 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[19] Batch [500] Speed: 248.64 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[19] Batch [500] Speed: 248.64 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[19] Batch [550] Speed: 247.04 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[19] Batch [550] Speed: 247.04 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[19] Batch [600] Speed: 249.06 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[19] Batch [600] Speed: 249.06 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[19] Batch [650] Speed: 244.14 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[19] Batch [650] Speed: 244.14 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[19] Batch [700] Speed: 248.25 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[19] Batch [700] Speed: 248.25 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[19] Batch [750] Speed: 249.24 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[19] Batch [750] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[19] Batch [800] Speed: 247.22 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[19] Batch [800] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[19] Batch [850] Speed: 245.20 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[19] Batch [850] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.731172 | |
| INFO:root:Epoch[19] Batch [900] Speed: 248.52 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[19] Batch [900] Speed: 248.52 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[19] Batch [950] Speed: 250.47 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[19] Batch [950] Speed: 250.47 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 253.72 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 253.72 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 254.13 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 254.13 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 243.82 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 243.82 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 248.72 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 252.14 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 252.14 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 255.58 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 254.71 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 254.71 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 247.45 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 248.03 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 253.10 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 253.10 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 245.36 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 245.36 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 255.75 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 255.75 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 258.08 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 258.08 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 258.95 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 258.95 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 258.19 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 258.19 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 257.46 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 257.46 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 255.79 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 258.00 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 258.00 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 255.06 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 255.06 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 254.29 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 254.29 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 252.84 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 244.92 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 244.92 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 250.64 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 250.17 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 250.17 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 248.87 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 243.67 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 243.67 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 253.45 samples/sec Train-accuracy=0.492266 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 253.45 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 246.19 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 245.67 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 245.67 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 254.47 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 254.47 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 258.12 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 258.12 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 259.41 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 255.96 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 255.96 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 253.15 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 254.69 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 254.69 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 248.42 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 248.42 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 255.02 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 255.02 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 255.33 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 255.33 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 250.97 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 250.97 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 247.72 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 251.62 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 251.62 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 247.35 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 252.93 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 252.93 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 251.52 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 248.51 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 254.08 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 255.76 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 255.76 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 254.99 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 249.07 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 249.07 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 244.23 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 244.23 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 248.67 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 248.67 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 249.94 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 244.27 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 244.27 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 247.62 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 247.62 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 248.46 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 253.37 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 247.32 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 256.18 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 256.18 samples/sec Train-top_k_accuracy_5=0.733906 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 258.04 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 258.04 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 256.29 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 256.29 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 245.36 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 245.36 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 251.17 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 245.67 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 245.67 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 245.71 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 245.71 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 250.46 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 256.25 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 256.25 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 244.15 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 244.15 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 244.12 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 244.12 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 247.22 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 245.60 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 254.73 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 254.73 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 245.90 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 245.90 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 250.40 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 256.16 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 256.16 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 251.77 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 251.77 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 253.22 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 253.22 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 250.19 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 250.19 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 248.36 samples/sec Train-accuracy=0.494688 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 248.36 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 256.70 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 256.70 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[19] Batch [4950] Speed: 255.63 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[19] Batch [4950] Speed: 255.63 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[19] Batch [5000] Speed: 249.63 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[19] Batch [5000] Speed: 249.63 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[19] Resetting Data Iterator | |
| INFO:root:Epoch[19] Time cost=5105.684 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0020.params" | |
| INFO:root:Epoch[19] Validation-accuracy=0.556860 | |
| INFO:root:Epoch[19] Validation-top_k_accuracy_5=0.803073 | |
| INFO:root:Epoch[20] Batch [50] Speed: 246.56 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[20] Batch [50] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[20] Batch [100] Speed: 247.32 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[20] Batch [100] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[20] Batch [150] Speed: 249.70 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[20] Batch [150] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[20] Batch [200] Speed: 246.27 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[20] Batch [200] Speed: 246.27 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[20] Batch [250] Speed: 249.31 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[20] Batch [250] Speed: 249.31 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[20] Batch [300] Speed: 253.13 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[20] Batch [300] Speed: 253.13 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[20] Batch [350] Speed: 247.84 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[20] Batch [350] Speed: 247.84 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[20] Batch [400] Speed: 248.55 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[20] Batch [400] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[20] Batch [450] Speed: 252.19 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[20] Batch [450] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[20] Batch [500] Speed: 255.49 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[20] Batch [500] Speed: 255.49 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[20] Batch [550] Speed: 245.67 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[20] Batch [550] Speed: 245.67 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[20] Batch [600] Speed: 245.43 samples/sec Train-accuracy=0.486875 | |
| INFO:root:Epoch[20] Batch [600] Speed: 245.43 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[20] Batch [650] Speed: 248.42 samples/sec Train-accuracy=0.492266 | |
| INFO:root:Epoch[20] Batch [650] Speed: 248.42 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[20] Batch [700] Speed: 248.41 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[20] Batch [700] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[20] Batch [750] Speed: 253.67 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[20] Batch [750] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[20] Batch [800] Speed: 245.94 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[20] Batch [800] Speed: 245.94 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[20] Batch [850] Speed: 257.33 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[20] Batch [850] Speed: 257.33 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[20] Batch [900] Speed: 254.15 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[20] Batch [900] Speed: 254.15 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[20] Batch [950] Speed: 248.33 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[20] Batch [950] Speed: 248.33 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 249.58 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 249.58 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 247.45 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 251.88 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 251.88 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 251.76 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 251.76 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 252.45 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 252.82 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 252.82 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 257.77 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 257.24 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 256.53 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 256.53 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 249.92 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 244.46 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 244.46 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 249.80 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 249.80 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 254.98 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 246.87 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 246.87 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 252.73 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 252.73 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 244.16 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 244.16 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 254.99 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 252.14 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 252.14 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 251.37 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 257.82 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 257.82 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 258.76 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 258.76 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 254.09 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 254.09 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 249.29 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 254.53 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 252.85 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 252.85 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 257.61 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 257.61 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 251.84 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 244.58 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 244.58 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 249.87 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 249.87 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 250.09 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 254.89 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 254.89 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 253.88 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 245.61 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 245.61 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 253.96 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 249.04 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 249.04 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 247.73 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 247.73 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 246.60 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 246.60 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 249.90 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 249.90 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 245.17 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 245.17 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 251.70 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 255.42 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 244.78 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 244.78 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 246.51 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 248.73 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 248.73 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 249.66 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 250.68 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 244.47 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 244.47 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 250.67 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 250.67 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 255.93 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 255.93 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 253.86 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 245.53 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 245.53 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 248.25 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 248.25 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 245.41 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 245.41 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 244.48 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 244.48 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 248.12 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 257.58 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 257.58 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 250.88 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 250.88 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 257.37 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 257.37 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 250.21 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 254.96 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 254.96 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 253.92 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 248.04 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 250.15 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 250.15 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 252.35 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 252.35 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 253.76 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 253.76 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 255.08 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 255.08 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 253.54 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 256.21 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 256.21 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 246.83 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 246.83 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 247.25 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 246.20 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 246.20 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 258.02 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 258.02 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 247.84 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 247.84 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 251.34 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 251.34 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[20] Batch [4700] Speed: 247.34 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[20] Batch [4700] Speed: 247.34 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[20] Batch [4750] Speed: 258.12 samples/sec Train-accuracy=0.499297 | |
| INFO:root:Epoch[20] Batch [4750] Speed: 258.12 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 256.21 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 256.21 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 251.86 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 251.86 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 255.15 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 255.15 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[20] Batch [4950] Speed: 251.66 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[20] Batch [4950] Speed: 251.66 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[20] Batch [5000] Speed: 251.20 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[20] Batch [5000] Speed: 251.20 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[20] Resetting Data Iterator | |
| INFO:root:Epoch[20] Time cost=5106.555 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0021.params" | |
| INFO:root:Epoch[20] Validation-accuracy=0.564413 | |
| INFO:root:Epoch[20] Validation-top_k_accuracy_5=0.813935 | |
| INFO:root:Epoch[21] Batch [50] Speed: 245.01 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[21] Batch [50] Speed: 245.01 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[21] Batch [100] Speed: 253.33 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[21] Batch [100] Speed: 253.33 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[21] Batch [150] Speed: 250.62 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[21] Batch [150] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[21] Batch [200] Speed: 256.00 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[21] Batch [200] Speed: 256.00 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[21] Batch [250] Speed: 249.87 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[21] Batch [250] Speed: 249.87 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[21] Batch [300] Speed: 247.37 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[21] Batch [300] Speed: 247.37 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[21] Batch [350] Speed: 245.98 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[21] Batch [350] Speed: 245.98 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[21] Batch [400] Speed: 245.93 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[21] Batch [400] Speed: 245.93 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[21] Batch [450] Speed: 244.48 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[21] Batch [450] Speed: 244.48 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[21] Batch [500] Speed: 248.19 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[21] Batch [500] Speed: 248.19 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[21] Batch [550] Speed: 249.81 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[21] Batch [550] Speed: 249.81 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[21] Batch [600] Speed: 248.44 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[21] Batch [600] Speed: 248.44 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[21] Batch [650] Speed: 244.49 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[21] Batch [650] Speed: 244.49 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[21] Batch [700] Speed: 250.29 samples/sec Train-accuracy=0.491250 | |
| INFO:root:Epoch[21] Batch [700] Speed: 250.29 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[21] Batch [750] Speed: 257.69 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[21] Batch [750] Speed: 257.69 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[21] Batch [800] Speed: 249.12 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[21] Batch [800] Speed: 249.12 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[21] Batch [850] Speed: 249.94 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[21] Batch [850] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[21] Batch [900] Speed: 256.47 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[21] Batch [900] Speed: 256.47 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[21] Batch [950] Speed: 257.79 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[21] Batch [950] Speed: 257.79 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 254.59 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 254.59 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 257.01 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 257.01 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 247.99 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 251.42 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 249.48 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 249.48 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 245.09 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 245.09 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 244.65 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 244.65 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 249.08 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 249.08 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 252.28 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 252.28 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 253.41 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 253.41 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 249.73 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 249.73 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 255.68 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 255.68 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 251.56 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 251.56 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 255.32 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 255.32 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 258.41 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 258.41 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 249.13 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 249.13 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 249.73 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 249.73 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 245.35 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 245.35 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 246.77 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 246.97 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 246.97 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 253.14 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 253.14 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 247.60 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 247.60 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 248.17 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 247.34 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 247.34 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 250.78 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 250.78 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 250.70 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 250.70 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 248.43 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 248.43 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 246.33 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 246.33 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 250.63 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 250.63 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 250.39 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 250.39 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 249.81 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 249.81 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 254.38 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 254.38 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 252.31 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 252.31 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 256.77 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 244.33 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 244.33 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 250.25 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 250.25 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 250.60 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 252.52 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 252.52 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 250.01 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 252.84 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 253.14 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 253.14 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 245.14 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 245.14 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 248.41 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 254.24 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 250.21 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 254.22 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 252.63 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 251.51 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 251.51 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 245.59 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 245.59 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 248.49 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 248.49 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 253.05 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 253.05 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 252.50 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 252.50 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 250.12 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 250.12 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 252.63 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 249.48 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 249.48 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 246.73 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 246.73 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 248.89 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 250.19 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 250.19 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 252.39 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 250.64 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 248.33 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 248.33 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 250.88 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 250.88 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 244.60 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 244.60 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 245.54 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 245.54 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 248.32 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 250.42 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 250.42 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 251.72 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 254.18 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 246.08 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 246.08 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 249.42 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 250.09 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 255.52 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 255.52 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 252.29 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 248.80 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 255.34 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 255.34 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[21] Batch [4750] Speed: 255.61 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[21] Batch [4750] Speed: 255.61 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[21] Batch [4800] Speed: 258.84 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[21] Batch [4800] Speed: 258.84 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[21] Batch [4850] Speed: 257.98 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[21] Batch [4850] Speed: 257.98 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[21] Batch [4900] Speed: 256.46 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[21] Batch [4900] Speed: 256.46 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[21] Batch [4950] Speed: 254.56 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[21] Batch [4950] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[21] Batch [5000] Speed: 256.16 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[21] Batch [5000] Speed: 256.16 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[21] Resetting Data Iterator | |
| INFO:root:Epoch[21] Time cost=5110.483 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0022.params" | |
| INFO:root:Epoch[21] Validation-accuracy=0.544603 | |
| INFO:root:Epoch[21] Validation-top_k_accuracy_5=0.794922 | |
| INFO:root:Epoch[22] Batch [50] Speed: 249.92 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[22] Batch [50] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[22] Batch [100] Speed: 248.10 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[22] Batch [100] Speed: 248.10 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[22] Batch [150] Speed: 256.29 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[22] Batch [150] Speed: 256.29 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[22] Batch [200] Speed: 247.20 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[22] Batch [200] Speed: 247.20 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[22] Batch [250] Speed: 248.93 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[22] Batch [250] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[22] Batch [300] Speed: 250.03 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[22] Batch [300] Speed: 250.03 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[22] Batch [350] Speed: 249.59 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[22] Batch [350] Speed: 249.59 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[22] Batch [400] Speed: 245.63 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[22] Batch [400] Speed: 245.63 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[22] Batch [450] Speed: 254.08 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[22] Batch [450] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[22] Batch [500] Speed: 257.40 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[22] Batch [500] Speed: 257.40 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[22] Batch [550] Speed: 254.93 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[22] Batch [550] Speed: 254.93 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[22] Batch [600] Speed: 248.57 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[22] Batch [600] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[22] Batch [650] Speed: 244.72 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[22] Batch [650] Speed: 244.72 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[22] Batch [700] Speed: 250.91 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[22] Batch [700] Speed: 250.91 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[22] Batch [750] Speed: 251.13 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[22] Batch [750] Speed: 251.13 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[22] Batch [800] Speed: 253.64 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[22] Batch [800] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[22] Batch [850] Speed: 253.27 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[22] Batch [850] Speed: 253.27 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[22] Batch [900] Speed: 248.05 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[22] Batch [900] Speed: 248.05 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[22] Batch [950] Speed: 247.91 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[22] Batch [950] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 249.41 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 249.41 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 253.31 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 254.25 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 254.25 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 245.26 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 245.26 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 246.18 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 246.18 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 256.97 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 256.97 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 258.05 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 258.05 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 251.17 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 250.30 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 257.38 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 257.38 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 247.58 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 253.77 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 253.77 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 256.27 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 256.27 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 249.71 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 249.71 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 253.91 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 253.91 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 252.01 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 252.01 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 257.78 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 257.78 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 255.56 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 255.56 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 254.08 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 247.72 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 249.11 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 249.11 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 251.23 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 253.53 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 257.94 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 257.94 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 247.89 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 247.89 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 253.32 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 253.32 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 251.22 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 256.67 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 256.67 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 251.68 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 251.68 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 253.52 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 248.40 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 252.09 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 252.09 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 256.69 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 256.69 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 248.22 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 248.22 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 252.88 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 254.68 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 254.68 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 249.59 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 249.59 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 254.98 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 248.50 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 254.22 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 252.17 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 250.57 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 248.98 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 251.50 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.737891 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 245.27 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 245.27 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 245.14 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 245.14 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 248.64 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 248.64 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 248.12 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 251.27 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 251.09 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 251.09 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 246.44 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 246.44 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 247.43 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 247.43 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 249.95 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 249.95 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 251.96 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 249.96 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 248.85 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 246.27 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 246.27 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 251.24 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 251.24 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 256.09 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 256.09 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 253.66 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 251.44 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 256.61 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 256.61 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 247.99 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 255.30 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 248.94 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 252.86 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 252.86 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 257.41 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 250.99 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 250.99 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 249.17 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 249.17 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 256.31 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 251.23 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 251.97 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 255.21 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 249.62 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 249.62 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 247.88 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 247.06 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 247.06 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[22] Batch [4800] Speed: 248.33 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[22] Batch [4800] Speed: 248.33 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[22] Batch [4850] Speed: 253.52 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[22] Batch [4850] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 248.90 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[22] Batch [4950] Speed: 244.74 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[22] Batch [4950] Speed: 244.74 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[22] Batch [5000] Speed: 255.73 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[22] Batch [5000] Speed: 255.73 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[22] Resetting Data Iterator | |
| INFO:root:Epoch[22] Time cost=5099.215 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0023.params" | |
| INFO:root:Epoch[22] Validation-accuracy=0.574677 | |
| INFO:root:Epoch[22] Validation-top_k_accuracy_5=0.817961 | |
| INFO:root:Epoch[23] Batch [50] Speed: 256.14 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[23] Batch [50] Speed: 256.14 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[23] Batch [100] Speed: 253.39 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[23] Batch [100] Speed: 253.39 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[23] Batch [150] Speed: 250.78 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[23] Batch [150] Speed: 250.78 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[23] Batch [200] Speed: 247.14 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[23] Batch [200] Speed: 247.14 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[23] Batch [250] Speed: 251.43 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[23] Batch [250] Speed: 251.43 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[23] Batch [300] Speed: 254.80 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[23] Batch [300] Speed: 254.80 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[23] Batch [350] Speed: 255.62 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[23] Batch [350] Speed: 255.62 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[23] Batch [400] Speed: 250.96 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[23] Batch [400] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[23] Batch [450] Speed: 248.36 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[23] Batch [450] Speed: 248.36 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[23] Batch [500] Speed: 251.52 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[23] Batch [500] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[23] Batch [550] Speed: 249.52 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[23] Batch [550] Speed: 249.52 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[23] Batch [600] Speed: 255.69 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[23] Batch [600] Speed: 255.69 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[23] Batch [650] Speed: 248.82 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[23] Batch [650] Speed: 248.82 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[23] Batch [700] Speed: 244.68 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[23] Batch [700] Speed: 244.68 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[23] Batch [750] Speed: 254.87 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[23] Batch [750] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[23] Batch [800] Speed: 253.43 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[23] Batch [800] Speed: 253.43 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[23] Batch [850] Speed: 252.31 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[23] Batch [850] Speed: 252.31 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[23] Batch [900] Speed: 248.04 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[23] Batch [900] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[23] Batch [950] Speed: 252.45 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[23] Batch [950] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 251.46 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 251.46 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 252.26 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 254.64 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 254.64 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 259.17 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 259.17 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 246.76 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 246.76 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 245.97 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 245.97 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 253.74 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 253.74 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 250.01 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 247.57 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 247.57 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 253.48 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 253.48 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 252.59 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 252.59 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 253.00 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 253.20 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 247.50 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 247.62 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 247.62 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 251.18 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 255.50 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 255.50 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 246.81 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 246.81 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 250.07 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 250.07 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 252.95 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 252.95 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 258.14 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 258.14 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 252.23 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 248.30 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 252.32 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 250.68 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 253.58 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 253.58 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 250.05 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 249.10 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 249.10 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 256.71 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 256.71 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 253.04 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 253.04 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 252.52 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 252.52 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 258.55 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 258.55 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 250.93 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 250.93 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 251.01 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 251.01 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 244.95 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 244.95 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 255.24 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 255.24 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 247.72 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 243.84 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 243.84 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 251.50 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 244.79 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 244.79 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 245.01 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 245.01 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 253.21 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 252.34 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 252.34 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 258.60 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 258.60 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 258.55 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 258.55 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 255.10 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 255.10 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 255.26 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 255.26 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 249.42 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 247.92 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 250.68 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 250.30 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 246.42 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 246.42 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 246.62 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 244.24 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 244.24 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 249.75 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 249.75 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 249.60 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 249.60 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 257.99 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 257.78 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 257.78 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 252.60 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 252.60 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 246.88 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 246.88 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 244.79 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 244.79 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 247.22 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 248.35 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 249.55 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 249.55 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 249.96 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 243.92 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 243.92 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 246.51 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 255.01 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 255.01 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 257.00 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 257.00 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 252.41 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 252.41 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 248.45 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 248.45 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 246.95 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 246.95 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 246.58 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 249.53 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 250.88 samples/sec Train-accuracy=0.494063 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 250.88 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 253.73 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 258.07 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 251.96 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 250.09 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[23] Batch [4950] Speed: 252.57 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[23] Batch [4950] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[23] Batch [5000] Speed: 259.38 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[23] Batch [5000] Speed: 259.38 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[23] Resetting Data Iterator | |
| INFO:root:Epoch[23] Time cost=5100.743 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0024.params" | |
| INFO:root:Epoch[23] Validation-accuracy=0.561783 | |
| INFO:root:Epoch[23] Validation-top_k_accuracy_5=0.810985 | |
| INFO:root:Epoch[24] Batch [50] Speed: 246.67 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[24] Batch [50] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[24] Batch [100] Speed: 248.14 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[24] Batch [100] Speed: 248.14 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[24] Batch [150] Speed: 246.36 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[24] Batch [150] Speed: 246.36 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[24] Batch [200] Speed: 247.15 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[24] Batch [200] Speed: 247.15 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[24] Batch [250] Speed: 254.52 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[24] Batch [250] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[24] Batch [300] Speed: 251.73 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[24] Batch [300] Speed: 251.73 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[24] Batch [350] Speed: 246.79 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[24] Batch [350] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[24] Batch [400] Speed: 253.43 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[24] Batch [400] Speed: 253.43 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[24] Batch [450] Speed: 256.21 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[24] Batch [450] Speed: 256.21 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[24] Batch [500] Speed: 257.50 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[24] Batch [500] Speed: 257.50 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[24] Batch [550] Speed: 249.53 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[24] Batch [550] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[24] Batch [600] Speed: 248.85 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[24] Batch [600] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[24] Batch [650] Speed: 246.15 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[24] Batch [650] Speed: 246.15 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[24] Batch [700] Speed: 247.45 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[24] Batch [700] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[24] Batch [750] Speed: 246.54 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[24] Batch [750] Speed: 246.54 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[24] Batch [800] Speed: 250.39 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[24] Batch [800] Speed: 250.39 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[24] Batch [850] Speed: 243.60 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[24] Batch [850] Speed: 243.60 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[24] Batch [900] Speed: 244.30 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[24] Batch [900] Speed: 244.30 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[24] Batch [950] Speed: 246.56 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[24] Batch [950] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 246.51 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 252.67 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 252.67 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 250.40 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 250.67 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 250.67 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 247.26 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 247.26 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 245.45 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 245.45 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 248.48 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 248.48 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 248.50 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 247.37 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 247.37 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 250.06 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 250.06 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 258.27 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 258.27 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 255.83 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 255.83 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 248.76 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 248.76 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 256.33 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 256.33 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 250.84 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 250.84 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 250.61 samples/sec Train-accuracy=0.505938 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 255.33 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 255.33 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 245.99 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 245.99 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 250.92 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 250.92 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 247.72 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 248.00 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 248.00 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 247.00 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 248.60 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 248.60 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 248.75 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 248.75 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 249.30 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 249.30 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 245.34 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 246.11 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 246.11 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 251.78 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 251.78 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 253.15 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 245.51 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 245.51 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 249.15 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 249.15 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 249.32 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 249.32 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 247.93 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 247.93 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 246.34 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 246.34 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 245.44 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 245.44 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 254.21 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 259.14 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 259.14 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 246.27 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 246.27 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 251.41 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 244.05 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 244.05 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 246.54 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 246.54 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 252.46 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 255.83 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 255.83 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 258.27 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 258.27 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 256.48 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 256.48 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 253.85 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 253.85 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 254.81 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 254.81 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 257.63 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 257.63 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 246.38 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 246.38 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 244.86 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 244.86 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 249.90 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 249.90 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 250.90 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 250.90 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 246.58 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 250.63 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 250.63 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 246.79 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 246.35 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 246.35 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 253.69 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 253.69 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 245.69 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 248.66 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 248.66 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 249.74 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 246.26 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 246.26 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 245.29 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 245.29 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 255.19 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 255.19 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 249.49 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 249.49 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 248.15 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 248.15 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 253.33 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 253.33 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 245.31 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 245.31 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 246.12 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 246.12 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 250.89 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 256.28 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 256.28 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 251.71 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 251.71 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 251.24 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 251.24 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 250.21 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 249.48 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 249.48 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 253.99 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 253.99 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 247.56 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 247.56 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 248.03 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 249.91 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 252.06 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[24] Batch [4950] Speed: 246.75 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[24] Batch [4950] Speed: 246.75 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[24] Batch [5000] Speed: 254.41 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[24] Batch [5000] Speed: 254.41 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[24] Resetting Data Iterator | |
| INFO:root:Epoch[24] Time cost=5129.787 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0025.params" | |
| INFO:root:Epoch[24] Validation-accuracy=0.566167 | |
| INFO:root:Epoch[24] Validation-top_k_accuracy_5=0.815729 | |
| INFO:root:Epoch[25] Batch [50] Speed: 249.14 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[25] Batch [50] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[25] Batch [100] Speed: 245.90 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[25] Batch [100] Speed: 245.90 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[25] Batch [150] Speed: 248.80 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[25] Batch [150] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[25] Batch [200] Speed: 244.08 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[25] Batch [200] Speed: 244.08 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[25] Batch [250] Speed: 247.62 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[25] Batch [250] Speed: 247.62 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[25] Batch [300] Speed: 247.96 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[25] Batch [300] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[25] Batch [350] Speed: 249.56 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[25] Batch [350] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[25] Batch [400] Speed: 247.72 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[25] Batch [400] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[25] Batch [450] Speed: 248.35 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[25] Batch [450] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[25] Batch [500] Speed: 243.19 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[25] Batch [500] Speed: 243.19 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[25] Batch [550] Speed: 247.02 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[25] Batch [550] Speed: 247.02 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[25] Batch [600] Speed: 253.83 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[25] Batch [600] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[25] Batch [650] Speed: 249.25 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[25] Batch [650] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[25] Batch [700] Speed: 253.70 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[25] Batch [700] Speed: 253.70 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[25] Batch [750] Speed: 251.84 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[25] Batch [750] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[25] Batch [800] Speed: 250.43 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[25] Batch [800] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[25] Batch [850] Speed: 257.82 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[25] Batch [850] Speed: 257.82 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[25] Batch [900] Speed: 248.27 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[25] Batch [900] Speed: 248.27 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[25] Batch [950] Speed: 246.29 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[25] Batch [950] Speed: 246.29 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 244.46 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 244.46 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 246.62 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 248.21 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 248.21 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 255.26 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 255.26 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 252.03 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 252.03 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 244.73 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 244.73 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 245.89 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 245.89 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 251.93 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 251.93 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 258.34 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 258.34 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 254.46 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 254.46 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 251.06 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 251.06 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 250.91 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 250.91 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 252.83 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 252.83 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 254.10 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 254.10 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 249.21 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 249.21 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 255.73 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 255.73 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 244.14 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 244.14 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 244.75 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 244.75 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 243.77 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 243.77 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 247.20 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 247.20 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 256.17 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 256.17 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 251.13 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 251.13 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 249.46 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 249.46 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 253.53 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 247.67 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 247.67 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 247.50 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 245.66 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 245.66 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 253.96 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 255.14 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 255.14 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 255.39 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 255.39 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 253.30 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 253.30 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 254.91 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 254.91 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 253.89 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 253.89 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 250.60 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 251.39 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 251.39 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 248.94 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 250.43 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 254.06 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 254.06 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 252.42 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 254.98 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 253.61 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 253.61 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 251.34 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 251.34 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 249.74 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 249.10 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 249.10 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 258.16 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 258.16 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 249.98 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 244.10 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 244.10 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 248.89 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 245.43 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 245.43 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 251.12 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 251.12 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 251.87 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 249.91 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 245.52 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 245.52 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 245.38 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 245.38 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 251.54 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 251.54 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 258.16 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 258.16 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 252.53 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 249.81 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 249.81 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 249.42 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 249.18 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 249.18 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 256.09 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 256.09 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 256.49 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 256.49 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 258.79 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 258.79 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 248.93 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 243.12 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 243.12 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 251.94 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 251.94 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 252.71 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 246.52 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 246.52 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 247.81 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 247.07 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 248.84 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 248.84 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 248.50 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 246.79 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 257.90 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 257.90 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 251.00 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 251.00 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 249.28 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 249.28 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 250.28 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 248.48 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 248.48 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 255.69 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 255.69 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[25] Batch [4950] Speed: 254.61 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[25] Batch [4950] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[25] Batch [5000] Speed: 251.34 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[25] Batch [5000] Speed: 251.34 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[25] Resetting Data Iterator | |
| INFO:root:Epoch[25] Time cost=5116.578 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0026.params" | |
| INFO:root:Epoch[25] Validation-accuracy=0.567203 | |
| INFO:root:Epoch[25] Validation-top_k_accuracy_5=0.810926 | |
| INFO:root:Epoch[26] Batch [50] Speed: 250.29 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[26] Batch [50] Speed: 250.29 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[26] Batch [100] Speed: 250.47 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[26] Batch [100] Speed: 250.47 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[26] Batch [150] Speed: 247.64 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[26] Batch [150] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[26] Batch [200] Speed: 249.45 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[26] Batch [200] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[26] Batch [250] Speed: 247.86 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[26] Batch [250] Speed: 247.86 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[26] Batch [300] Speed: 249.51 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[26] Batch [300] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[26] Batch [350] Speed: 253.63 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[26] Batch [350] Speed: 253.63 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[26] Batch [400] Speed: 253.59 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[26] Batch [400] Speed: 253.59 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[26] Batch [450] Speed: 249.60 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[26] Batch [450] Speed: 249.60 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[26] Batch [500] Speed: 257.09 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[26] Batch [500] Speed: 257.09 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[26] Batch [550] Speed: 246.89 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[26] Batch [550] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[26] Batch [600] Speed: 249.06 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[26] Batch [600] Speed: 249.06 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[26] Batch [650] Speed: 253.60 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[26] Batch [650] Speed: 253.60 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[26] Batch [700] Speed: 256.92 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[26] Batch [700] Speed: 256.92 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[26] Batch [750] Speed: 252.88 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[26] Batch [750] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[26] Batch [800] Speed: 246.05 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[26] Batch [800] Speed: 246.05 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[26] Batch [850] Speed: 252.43 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[26] Batch [850] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[26] Batch [900] Speed: 250.61 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[26] Batch [900] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[26] Batch [950] Speed: 251.82 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[26] Batch [950] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 249.06 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 249.06 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 245.12 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 245.12 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 249.05 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 249.05 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 250.15 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 250.15 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 256.03 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 256.03 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 250.60 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 248.87 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 250.58 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 250.58 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 251.36 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 249.00 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 249.00 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 251.98 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 251.98 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 250.28 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 246.94 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 246.94 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 245.42 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 245.42 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 248.46 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 252.26 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 245.84 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 245.84 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 248.72 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 254.13 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 254.13 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 254.14 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 254.14 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 256.89 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 256.89 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 253.34 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 253.34 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 245.85 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 245.85 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 246.65 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 246.65 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 251.37 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 253.25 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 253.25 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 246.17 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 247.36 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 245.68 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 245.68 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 248.47 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 248.47 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 251.41 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 248.58 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 248.58 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 252.05 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 252.05 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 251.53 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 251.53 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 254.34 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 254.34 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 246.24 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 246.24 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 251.81 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 251.81 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 252.35 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 252.35 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 249.35 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 249.35 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 253.53 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 258.67 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 258.67 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 248.95 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 248.95 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 246.87 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 246.87 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 255.00 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 255.00 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 248.89 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 248.28 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 248.28 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 247.29 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 247.29 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 250.88 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 250.88 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 251.20 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 251.20 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 253.71 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 251.95 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 251.95 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 251.75 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 246.68 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 246.68 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 253.68 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 253.68 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 249.12 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 249.12 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 251.76 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 251.76 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 246.61 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 246.61 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 250.46 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 250.28 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 253.26 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 253.26 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 254.00 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 249.61 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 247.05 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 247.05 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 249.02 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 249.02 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 253.23 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 253.23 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 248.87 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 248.68 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 248.68 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 251.29 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 251.29 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 249.79 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 249.79 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 244.39 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 244.39 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 248.83 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 248.83 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 258.16 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 258.16 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 257.99 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 246.71 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 253.82 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 253.82 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 255.98 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 255.98 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 247.11 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 247.11 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 246.86 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 246.86 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 243.43 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 243.43 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[26] Batch [4950] Speed: 248.84 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[26] Batch [4950] Speed: 248.84 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[26] Batch [5000] Speed: 253.28 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[26] Batch [5000] Speed: 253.28 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[26] Resetting Data Iterator | |
| INFO:root:Epoch[26] Time cost=5116.895 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0027.params" | |
| INFO:root:Epoch[26] Validation-accuracy=0.562440 | |
| INFO:root:Epoch[26] Validation-top_k_accuracy_5=0.808235 | |
| INFO:root:Epoch[27] Batch [50] Speed: 249.03 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[27] Batch [50] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[27] Batch [100] Speed: 251.33 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[27] Batch [100] Speed: 251.33 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[27] Batch [150] Speed: 247.57 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[27] Batch [150] Speed: 247.57 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[27] Batch [200] Speed: 257.27 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[27] Batch [200] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[27] Batch [250] Speed: 255.55 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[27] Batch [250] Speed: 255.55 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[27] Batch [300] Speed: 252.15 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[27] Batch [300] Speed: 252.15 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[27] Batch [350] Speed: 250.87 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[27] Batch [350] Speed: 250.87 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[27] Batch [400] Speed: 257.46 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[27] Batch [400] Speed: 257.46 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[27] Batch [450] Speed: 245.54 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[27] Batch [450] Speed: 245.54 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[27] Batch [500] Speed: 249.45 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[27] Batch [500] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[27] Batch [550] Speed: 254.61 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[27] Batch [550] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[27] Batch [600] Speed: 255.57 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[27] Batch [600] Speed: 255.57 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[27] Batch [650] Speed: 257.34 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[27] Batch [650] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[27] Batch [700] Speed: 253.95 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[27] Batch [700] Speed: 253.95 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[27] Batch [750] Speed: 257.11 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[27] Batch [750] Speed: 257.11 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[27] Batch [800] Speed: 255.74 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[27] Batch [800] Speed: 255.74 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[27] Batch [850] Speed: 251.15 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[27] Batch [850] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[27] Batch [900] Speed: 253.80 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[27] Batch [900] Speed: 253.80 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[27] Batch [950] Speed: 253.05 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[27] Batch [950] Speed: 253.05 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 245.35 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 245.35 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 252.22 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 252.22 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 248.14 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 248.14 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 245.92 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 245.92 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 252.25 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 252.25 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 246.89 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 245.74 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 245.74 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 255.58 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 248.93 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 252.35 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 252.35 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 249.20 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 249.20 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 252.51 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 252.51 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 250.03 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 250.03 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 245.58 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 245.58 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 251.36 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 248.68 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 248.68 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 250.65 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 250.65 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 255.73 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 255.73 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 245.93 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 245.93 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 250.09 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 250.14 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 250.14 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 247.78 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 247.78 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 249.16 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 249.16 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 250.89 samples/sec Train-accuracy=0.522656 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 255.33 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 255.33 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 252.45 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 250.62 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 246.86 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 246.86 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 244.84 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 244.84 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 249.74 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 252.49 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 253.08 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 253.08 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 256.23 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 256.23 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 252.17 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 253.00 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 254.95 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 254.95 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 249.93 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 249.93 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 250.23 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 250.23 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 248.23 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 248.23 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 252.42 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 249.54 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 249.54 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 247.42 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 247.42 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 254.87 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 254.68 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 254.68 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 250.84 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 250.84 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 254.98 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 250.89 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 250.96 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 250.66 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 250.66 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 246.93 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 246.93 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 247.61 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 247.61 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 252.88 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 248.42 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 248.42 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 256.59 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 256.31 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 250.90 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 250.90 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 256.15 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 248.07 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 248.07 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 245.72 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 245.72 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 248.28 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 248.28 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 246.90 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 246.90 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 252.76 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 252.76 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 248.36 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 248.36 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 247.48 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 247.48 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 247.09 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 247.09 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 256.81 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 252.25 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 252.25 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 253.67 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 249.44 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 245.70 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 245.70 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 245.60 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 248.13 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 246.81 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 246.81 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 245.73 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 245.73 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 248.51 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 254.16 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 254.16 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 246.40 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 246.40 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 249.98 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 247.65 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[27] Batch [4950] Speed: 254.57 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[27] Batch [4950] Speed: 254.57 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[27] Batch [5000] Speed: 259.38 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[27] Batch [5000] Speed: 259.38 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[27] Resetting Data Iterator | |
| INFO:root:Epoch[27] Time cost=5107.532 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0028.params" | |
| INFO:root:Epoch[27] Validation-accuracy=0.576650 | |
| INFO:root:Epoch[27] Validation-top_k_accuracy_5=0.823621 | |
| INFO:root:Epoch[28] Batch [50] Speed: 252.56 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[28] Batch [50] Speed: 252.56 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[28] Batch [100] Speed: 257.46 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[28] Batch [100] Speed: 257.46 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[28] Batch [150] Speed: 244.62 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[28] Batch [150] Speed: 244.62 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[28] Batch [200] Speed: 253.23 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[28] Batch [200] Speed: 253.23 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[28] Batch [250] Speed: 248.68 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[28] Batch [250] Speed: 248.68 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[28] Batch [300] Speed: 252.41 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[28] Batch [300] Speed: 252.41 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[28] Batch [350] Speed: 252.59 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[28] Batch [350] Speed: 252.59 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[28] Batch [400] Speed: 250.41 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[28] Batch [400] Speed: 250.41 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[28] Batch [450] Speed: 247.08 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[28] Batch [450] Speed: 247.08 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[28] Batch [500] Speed: 248.75 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[28] Batch [500] Speed: 248.75 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[28] Batch [550] Speed: 248.41 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[28] Batch [550] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[28] Batch [600] Speed: 251.59 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[28] Batch [600] Speed: 251.59 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[28] Batch [650] Speed: 252.20 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[28] Batch [650] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[28] Batch [700] Speed: 255.69 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[28] Batch [700] Speed: 255.69 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[28] Batch [750] Speed: 245.72 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[28] Batch [750] Speed: 245.72 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[28] Batch [800] Speed: 250.33 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[28] Batch [800] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.741016 | |
| INFO:root:Epoch[28] Batch [850] Speed: 254.79 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[28] Batch [850] Speed: 254.79 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[28] Batch [900] Speed: 248.13 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[28] Batch [900] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[28] Batch [950] Speed: 245.62 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[28] Batch [950] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 249.23 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 249.23 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 250.55 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 250.55 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 247.36 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 246.22 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 254.00 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 253.94 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 253.94 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 248.78 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 246.16 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 246.76 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 246.76 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 244.26 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 244.26 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 246.67 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 249.82 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 249.82 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 247.31 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 247.31 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 245.60 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 251.38 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 255.37 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 251.96 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 256.09 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 256.09 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 251.03 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 251.03 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 252.26 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 256.23 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 256.23 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 245.77 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 245.77 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 250.12 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 250.12 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 257.00 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 257.00 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 253.07 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 253.07 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 255.49 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 255.49 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 246.46 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 246.46 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 253.61 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 253.61 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 249.63 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 249.63 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 255.89 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 255.89 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 246.34 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 246.34 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 251.34 samples/sec Train-accuracy=0.499297 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 251.34 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 252.71 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 250.17 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 250.17 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 250.31 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 251.37 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 252.54 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 253.37 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 248.12 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 254.52 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 248.30 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 250.62 samples/sec Train-accuracy=0.498750 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 256.77 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 246.77 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 251.52 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 251.46 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 251.46 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 251.75 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 244.16 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 244.16 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 250.49 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 250.49 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 251.84 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 246.21 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 246.21 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 245.58 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 245.58 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 248.59 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 248.59 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 243.27 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 243.27 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 247.69 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 247.69 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 249.78 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 254.47 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 254.47 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 255.11 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 255.11 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 248.45 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 248.45 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 247.11 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 247.11 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 252.97 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 252.97 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 250.14 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 250.14 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 255.10 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 255.10 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 248.56 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 248.56 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 256.82 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 256.82 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 250.44 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 250.44 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 252.82 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 252.82 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 255.99 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 255.99 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 250.05 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 249.66 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 251.72 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 249.22 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 249.22 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 251.50 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 255.34 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 255.34 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 256.31 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 252.07 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 244.88 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 244.88 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 245.85 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 245.85 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 244.93 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 244.93 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[28] Batch [4950] Speed: 244.46 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[28] Batch [4950] Speed: 244.46 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[28] Batch [5000] Speed: 258.68 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[28] Batch [5000] Speed: 258.68 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[28] Resetting Data Iterator | |
| INFO:root:Epoch[28] Time cost=5113.835 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0029.params" | |
| INFO:root:Epoch[28] Validation-accuracy=0.561404 | |
| INFO:root:Epoch[28] Validation-top_k_accuracy_5=0.807258 | |
| INFO:root:Epoch[29] Batch [50] Speed: 250.71 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[29] Batch [50] Speed: 250.71 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[29] Batch [100] Speed: 244.84 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[29] Batch [100] Speed: 244.84 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[29] Batch [150] Speed: 246.25 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[29] Batch [150] Speed: 246.25 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[29] Batch [200] Speed: 252.90 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[29] Batch [200] Speed: 252.90 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[29] Batch [250] Speed: 245.83 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[29] Batch [250] Speed: 245.83 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[29] Batch [300] Speed: 245.55 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[29] Batch [300] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[29] Batch [350] Speed: 246.13 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[29] Batch [350] Speed: 246.13 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[29] Batch [400] Speed: 246.18 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[29] Batch [400] Speed: 246.18 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[29] Batch [450] Speed: 252.98 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[29] Batch [450] Speed: 252.98 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[29] Batch [500] Speed: 256.19 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[29] Batch [500] Speed: 256.19 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[29] Batch [550] Speed: 257.24 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[29] Batch [550] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[29] Batch [600] Speed: 254.69 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[29] Batch [600] Speed: 254.69 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[29] Batch [650] Speed: 247.37 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[29] Batch [650] Speed: 247.37 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[29] Batch [700] Speed: 252.30 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[29] Batch [700] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[29] Batch [750] Speed: 250.46 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[29] Batch [750] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[29] Batch [800] Speed: 252.30 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[29] Batch [800] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[29] Batch [850] Speed: 248.08 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[29] Batch [850] Speed: 248.08 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[29] Batch [900] Speed: 255.08 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[29] Batch [900] Speed: 255.08 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[29] Batch [950] Speed: 249.13 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[29] Batch [950] Speed: 249.13 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 245.76 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 245.76 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 245.49 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 245.49 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 247.65 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 248.96 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 248.96 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 251.03 samples/sec Train-accuracy=0.506172 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 251.03 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 245.54 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 245.54 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 250.35 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 248.49 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 248.49 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 248.27 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 248.27 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 255.45 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 247.28 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 247.28 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 255.64 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 255.64 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 255.24 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 255.24 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 251.58 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 248.57 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 253.71 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 255.14 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 255.14 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 252.56 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 252.56 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 254.58 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 254.58 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 249.53 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 249.40 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 249.40 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 247.96 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 249.74 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 254.72 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 254.72 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 251.41 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 257.20 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 257.20 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 246.11 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 246.11 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 250.16 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 250.16 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 249.92 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 245.26 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 245.26 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 250.25 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 250.25 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 244.17 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 244.17 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 254.16 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 254.16 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 249.44 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 248.12 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 255.57 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 255.57 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 249.78 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 250.59 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 250.59 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 251.70 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 253.07 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 253.07 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 253.70 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 253.70 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 245.97 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 245.97 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 254.12 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 254.12 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 257.96 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 253.90 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 253.90 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 252.66 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 252.66 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 251.47 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 251.47 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 245.70 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 245.70 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 244.75 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 244.75 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 254.48 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 246.27 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 246.27 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 244.55 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 244.55 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 253.69 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 253.69 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 248.55 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 250.52 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 250.52 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 247.58 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 255.24 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 255.24 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 255.94 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 255.94 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 254.03 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 254.03 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 248.44 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 248.44 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 244.69 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 244.69 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 251.73 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 251.73 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 249.72 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 249.72 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 252.45 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.761953 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 247.39 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 247.39 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 248.18 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 248.18 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 246.51 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 246.67 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 254.97 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 254.97 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 248.78 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 249.67 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 252.24 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 252.24 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 250.00 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 252.62 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 252.62 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 248.87 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 252.22 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 252.22 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 254.42 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 247.65 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 244.15 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 244.15 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[29] Batch [4950] Speed: 246.50 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[29] Batch [4950] Speed: 246.50 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[29] Batch [5000] Speed: 249.91 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[29] Batch [5000] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[29] Resetting Data Iterator | |
| INFO:root:Epoch[29] Time cost=5119.616 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0030.params" | |
| INFO:root:Epoch[29] Validation-accuracy=0.565430 | |
| INFO:root:Epoch[29] Validation-top_k_accuracy_5=0.812719 | |
| INFO:root:Epoch[30] Batch [50] Speed: 254.46 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[30] Batch [50] Speed: 254.46 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[30] Batch [100] Speed: 252.72 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[30] Batch [100] Speed: 252.72 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[30] Batch [150] Speed: 255.85 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[30] Batch [150] Speed: 255.85 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[30] Batch [200] Speed: 247.91 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[30] Batch [200] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[30] Batch [250] Speed: 255.18 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[30] Batch [250] Speed: 255.18 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[30] Batch [300] Speed: 250.17 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[30] Batch [300] Speed: 250.17 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[30] Batch [350] Speed: 251.97 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[30] Batch [350] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[30] Batch [400] Speed: 248.98 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[30] Batch [400] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[30] Batch [450] Speed: 251.26 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[30] Batch [450] Speed: 251.26 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[30] Batch [500] Speed: 253.16 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[30] Batch [500] Speed: 253.16 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[30] Batch [550] Speed: 253.25 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[30] Batch [550] Speed: 253.25 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[30] Batch [600] Speed: 248.30 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[30] Batch [600] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[30] Batch [650] Speed: 251.22 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[30] Batch [650] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[30] Batch [700] Speed: 247.65 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[30] Batch [700] Speed: 247.65 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[30] Batch [750] Speed: 257.37 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[30] Batch [750] Speed: 257.37 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[30] Batch [800] Speed: 253.21 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[30] Batch [800] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[30] Batch [850] Speed: 249.85 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[30] Batch [850] Speed: 249.85 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[30] Batch [900] Speed: 251.18 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[30] Batch [900] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[30] Batch [950] Speed: 253.13 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[30] Batch [950] Speed: 253.13 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 247.46 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 247.46 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 252.07 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 247.14 samples/sec Train-accuracy=0.505938 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 247.14 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 244.30 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 244.30 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 246.50 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 246.50 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 249.06 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 249.06 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 252.36 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 252.36 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 252.19 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 252.22 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 252.22 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 256.36 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 256.36 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 247.87 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 247.87 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 248.29 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 248.29 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 248.12 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 258.24 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 258.24 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 254.25 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 254.25 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 248.17 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 245.77 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 245.77 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 249.12 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 249.12 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 253.78 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 253.78 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 247.98 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 246.93 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 246.93 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 247.09 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 247.09 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 250.02 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 250.02 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 249.67 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 252.91 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 252.91 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 247.13 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 247.13 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 247.87 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 247.87 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 249.01 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 249.01 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 249.78 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 255.61 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 255.61 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 255.50 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 255.50 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 255.81 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 255.81 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 248.51 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 247.44 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 247.44 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 252.80 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 247.74 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 247.74 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 252.17 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 251.02 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 250.21 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 253.88 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 247.28 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 247.28 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 245.34 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 248.52 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 248.52 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 245.30 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 245.30 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 245.15 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 245.15 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 245.45 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 245.45 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 246.02 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 246.02 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 245.56 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 245.56 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 246.66 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 246.66 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 248.58 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 248.58 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 247.55 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 249.33 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 249.33 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 253.21 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 248.60 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 248.60 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 255.47 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 255.47 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 255.84 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 255.84 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 255.87 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 255.87 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 246.03 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 246.03 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 247.35 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 251.04 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 253.71 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 251.97 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 255.26 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 255.26 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 257.07 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 257.07 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 257.29 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 257.29 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 247.30 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 247.30 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 251.18 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 255.43 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 255.43 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 250.64 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 250.12 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 250.12 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 246.43 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 246.43 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 247.25 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 245.11 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 245.11 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 245.87 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 245.87 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 246.94 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 246.94 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 243.44 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 243.44 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 249.31 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 249.31 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 246.98 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 246.98 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 250.33 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[30] Batch [4950] Speed: 252.42 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[30] Batch [4950] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[30] Batch [5000] Speed: 248.98 samples/sec Train-accuracy=0.521172 | |
| INFO:root:Epoch[30] Batch [5000] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[30] Resetting Data Iterator | |
| INFO:root:Epoch[30] Time cost=5119.997 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0031.params" | |
| INFO:root:Epoch[30] Validation-accuracy=0.567801 | |
| INFO:root:Epoch[30] Validation-top_k_accuracy_5=0.813656 | |
| INFO:root:Epoch[31] Batch [50] Speed: 246.58 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[31] Batch [50] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[31] Batch [100] Speed: 249.76 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[31] Batch [100] Speed: 249.76 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[31] Batch [150] Speed: 252.26 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[31] Batch [150] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[31] Batch [200] Speed: 255.25 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[31] Batch [200] Speed: 255.25 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[31] Batch [250] Speed: 250.64 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[31] Batch [250] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[31] Batch [300] Speed: 252.38 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[31] Batch [300] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[31] Batch [350] Speed: 253.86 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[31] Batch [350] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[31] Batch [400] Speed: 256.38 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[31] Batch [400] Speed: 256.38 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[31] Batch [450] Speed: 246.77 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[31] Batch [450] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[31] Batch [500] Speed: 244.62 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[31] Batch [500] Speed: 244.62 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[31] Batch [550] Speed: 251.28 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[31] Batch [550] Speed: 251.28 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[31] Batch [600] Speed: 251.96 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[31] Batch [600] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[31] Batch [650] Speed: 248.34 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[31] Batch [650] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[31] Batch [700] Speed: 253.66 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[31] Batch [700] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[31] Batch [750] Speed: 253.96 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[31] Batch [750] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[31] Batch [800] Speed: 248.84 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[31] Batch [800] Speed: 248.84 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[31] Batch [850] Speed: 251.16 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[31] Batch [850] Speed: 251.16 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[31] Batch [900] Speed: 249.08 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[31] Batch [900] Speed: 249.08 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[31] Batch [950] Speed: 245.62 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[31] Batch [950] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 251.01 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 251.01 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 244.53 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 244.53 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 246.43 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 246.43 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 248.62 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 248.62 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 248.30 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 255.77 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 255.77 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 253.30 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 253.30 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 252.23 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 244.83 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 244.83 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 246.78 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 246.78 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 248.45 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 248.45 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 251.49 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 248.23 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 248.23 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 252.01 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 252.01 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 252.01 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 252.01 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 243.58 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 243.58 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 245.55 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 248.17 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 253.07 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 253.07 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 251.50 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 254.66 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 254.66 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 255.99 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 255.99 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 250.78 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 250.78 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 251.97 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 249.79 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 249.79 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 250.97 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 250.97 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 246.80 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 246.80 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 251.54 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 251.54 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 251.22 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 252.09 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 252.09 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 249.80 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 249.80 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 251.44 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 245.57 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 245.57 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 247.48 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 247.48 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 257.77 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 250.35 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 245.74 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 245.74 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 245.31 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 245.31 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 249.25 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 249.39 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 249.39 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 247.32 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 244.36 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 244.36 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 250.37 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 250.37 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 247.24 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 247.24 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 248.83 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 248.83 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 246.31 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 246.31 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 247.99 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 253.42 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 253.42 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 251.21 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 251.21 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 256.06 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 251.51 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 251.51 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 254.22 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 250.14 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 250.14 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 246.45 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 246.45 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 253.91 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 253.91 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 255.45 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 253.88 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 252.06 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 243.73 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 243.73 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 247.08 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 247.08 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 248.22 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 248.22 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 245.14 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 245.14 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 246.83 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 246.83 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 247.33 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 247.33 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 253.83 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 253.52 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 248.70 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 248.70 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 251.14 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 251.14 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 253.73 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 257.45 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 257.45 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 244.82 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 244.82 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 250.50 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 245.95 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 245.95 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 255.78 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 255.78 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 252.25 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 252.25 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 246.90 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 246.90 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 255.14 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 255.14 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 253.17 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 253.17 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 256.34 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 256.34 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[31] Batch [4950] Speed: 258.48 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[31] Batch [4950] Speed: 258.48 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[31] Batch [5000] Speed: 250.63 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[31] Batch [5000] Speed: 250.63 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[31] Resetting Data Iterator | |
| INFO:root:Epoch[31] Time cost=5119.520 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0032.params" | |
| INFO:root:Epoch[31] Validation-accuracy=0.573621 | |
| INFO:root:Epoch[31] Validation-top_k_accuracy_5=0.819416 | |
| INFO:root:Epoch[32] Batch [50] Speed: 247.10 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[32] Batch [50] Speed: 247.10 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[32] Batch [100] Speed: 249.48 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[32] Batch [100] Speed: 249.48 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[32] Batch [150] Speed: 243.63 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[32] Batch [150] Speed: 243.63 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[32] Batch [200] Speed: 253.53 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[32] Batch [200] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[32] Batch [250] Speed: 249.33 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[32] Batch [250] Speed: 249.33 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[32] Batch [300] Speed: 246.97 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[32] Batch [300] Speed: 246.97 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[32] Batch [350] Speed: 247.22 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[32] Batch [350] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[32] Batch [400] Speed: 257.27 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[32] Batch [400] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[32] Batch [450] Speed: 255.91 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[32] Batch [450] Speed: 255.91 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[32] Batch [500] Speed: 255.74 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[32] Batch [500] Speed: 255.74 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[32] Batch [550] Speed: 245.68 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[32] Batch [550] Speed: 245.68 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[32] Batch [600] Speed: 251.36 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[32] Batch [600] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[32] Batch [650] Speed: 249.43 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[32] Batch [650] Speed: 249.43 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[32] Batch [700] Speed: 252.53 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[32] Batch [700] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[32] Batch [750] Speed: 254.61 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[32] Batch [750] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[32] Batch [800] Speed: 253.73 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[32] Batch [800] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[32] Batch [850] Speed: 254.03 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[32] Batch [850] Speed: 254.03 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[32] Batch [900] Speed: 250.44 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[32] Batch [900] Speed: 250.44 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[32] Batch [950] Speed: 244.20 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[32] Batch [950] Speed: 244.20 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 250.19 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 250.19 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 250.12 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 250.12 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 256.53 samples/sec Train-accuracy=0.518281 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 256.53 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 253.35 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 253.91 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 253.91 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 254.46 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 254.46 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 252.18 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 252.18 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 250.17 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 250.17 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 255.66 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 255.66 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 253.62 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 253.62 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 247.88 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 252.57 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 244.19 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 244.19 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 243.59 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 243.59 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 247.14 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 247.14 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 251.10 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 248.46 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 248.82 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 248.82 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 252.29 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 244.89 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 244.89 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 244.28 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 244.28 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 249.53 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 250.54 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 253.30 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 253.30 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 251.10 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 252.04 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 252.04 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 252.37 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 252.37 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 245.74 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 245.74 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 251.99 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 251.99 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 253.97 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 253.97 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 250.94 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 250.94 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 248.59 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 248.59 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 248.63 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 248.63 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 252.56 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 252.56 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 249.61 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 253.73 samples/sec Train-accuracy=0.518437 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 257.88 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 257.88 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 244.24 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 244.24 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 249.03 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 252.88 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 245.10 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 245.10 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 252.61 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 252.61 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 252.94 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 252.94 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 243.41 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 243.41 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 243.07 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 243.07 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 253.48 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 253.48 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 246.83 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 246.83 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 249.81 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 249.81 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 249.37 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 249.37 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 247.97 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 247.97 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 251.97 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 248.87 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 250.13 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 250.13 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 248.58 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 248.58 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 253.17 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 253.17 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 256.59 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 250.45 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 250.45 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 253.36 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 253.36 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 257.08 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 257.08 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 254.09 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 254.09 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 248.78 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 252.86 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 252.86 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 246.15 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 246.15 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 256.68 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 256.68 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 251.69 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 249.08 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 249.08 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 251.36 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 254.48 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 251.58 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 249.66 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 246.17 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 252.84 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 254.47 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 254.47 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 247.07 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 245.85 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 245.85 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 254.54 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 252.21 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 252.21 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 248.39 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 248.39 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 253.46 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 253.46 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[32] Batch [4950] Speed: 255.20 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[32] Batch [4950] Speed: 255.20 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[32] Batch [5000] Speed: 257.12 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[32] Batch [5000] Speed: 257.12 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[32] Resetting Data Iterator | |
| INFO:root:Epoch[32] Time cost=5110.183 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0033.params" | |
| INFO:root:Epoch[32] Validation-accuracy=0.582131 | |
| INFO:root:Epoch[32] Validation-top_k_accuracy_5=0.824617 | |
| INFO:root:Epoch[33] Batch [50] Speed: 257.13 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[33] Batch [50] Speed: 257.13 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[33] Batch [100] Speed: 251.75 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[33] Batch [100] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[33] Batch [150] Speed: 247.58 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[33] Batch [150] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[33] Batch [200] Speed: 253.74 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[33] Batch [200] Speed: 253.74 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[33] Batch [250] Speed: 248.32 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[33] Batch [250] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[33] Batch [300] Speed: 253.87 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[33] Batch [300] Speed: 253.87 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[33] Batch [350] Speed: 252.84 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[33] Batch [350] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[33] Batch [400] Speed: 254.64 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[33] Batch [400] Speed: 254.64 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[33] Batch [450] Speed: 249.87 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[33] Batch [450] Speed: 249.87 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[33] Batch [500] Speed: 248.41 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[33] Batch [500] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[33] Batch [550] Speed: 245.96 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[33] Batch [550] Speed: 245.96 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[33] Batch [600] Speed: 247.66 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[33] Batch [600] Speed: 247.66 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[33] Batch [650] Speed: 253.84 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[33] Batch [650] Speed: 253.84 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[33] Batch [700] Speed: 253.19 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[33] Batch [700] Speed: 253.19 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[33] Batch [750] Speed: 255.26 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[33] Batch [750] Speed: 255.26 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[33] Batch [800] Speed: 253.62 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[33] Batch [800] Speed: 253.62 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[33] Batch [850] Speed: 245.30 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[33] Batch [850] Speed: 245.30 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[33] Batch [900] Speed: 254.05 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[33] Batch [900] Speed: 254.05 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[33] Batch [950] Speed: 253.19 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[33] Batch [950] Speed: 253.19 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 244.06 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 244.06 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 250.50 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 255.83 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 255.83 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 248.54 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 249.44 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 246.22 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 251.73 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 251.73 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 251.19 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 255.16 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 255.16 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 247.93 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 247.93 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 254.83 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 254.83 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 249.42 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 244.43 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 244.43 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 246.49 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 248.26 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 249.74 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 250.54 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 243.90 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 243.90 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 244.72 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 244.72 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 248.35 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 253.20 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 256.45 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 256.45 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 249.96 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 248.17 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 248.72 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 251.21 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 251.21 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 250.20 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 250.20 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 250.60 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 257.43 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 257.43 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 248.04 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 248.94 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 246.19 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 245.19 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 245.19 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 251.03 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 251.03 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 250.56 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 250.56 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 255.02 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 255.02 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 254.04 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 254.04 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 247.72 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 246.14 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 246.14 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 251.50 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 245.91 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 245.91 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 243.42 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 243.42 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 244.90 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 244.90 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 250.05 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 244.03 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 244.03 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 246.49 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 244.18 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 244.18 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 253.51 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 253.51 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 248.18 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 248.18 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 255.57 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 255.57 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 246.71 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 250.69 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 250.69 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 245.20 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 250.79 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 250.79 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 244.02 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 244.02 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 248.40 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 245.55 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 249.52 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 249.52 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 244.77 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 244.77 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 247.10 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 247.10 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 248.68 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 248.68 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 257.84 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 257.84 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 248.52 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 248.52 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 246.04 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 246.04 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 251.39 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 251.39 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 248.79 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 248.79 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 251.15 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 249.11 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 249.11 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 244.15 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 244.15 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 246.29 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 246.29 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 249.42 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 246.63 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 255.45 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 256.70 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 256.70 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 252.73 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 252.73 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 251.26 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 251.26 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 250.83 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 250.83 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 252.23 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 243.72 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 243.72 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[33] Batch [4950] Speed: 252.36 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[33] Batch [4950] Speed: 252.36 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[33] Batch [5000] Speed: 257.09 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[33] Batch [5000] Speed: 257.09 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[33] Resetting Data Iterator | |
| INFO:root:Epoch[33] Time cost=5130.325 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0034.params" | |
| INFO:root:Epoch[33] Validation-accuracy=0.548529 | |
| INFO:root:Epoch[33] Validation-top_k_accuracy_5=0.798410 | |
| INFO:root:Epoch[34] Batch [50] Speed: 245.22 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[34] Batch [50] Speed: 245.22 samples/sec Train-top_k_accuracy_5=0.761016 | |
| INFO:root:Epoch[34] Batch [100] Speed: 249.77 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[34] Batch [100] Speed: 249.77 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[34] Batch [150] Speed: 245.34 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[34] Batch [150] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[34] Batch [200] Speed: 246.55 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[34] Batch [200] Speed: 246.55 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[34] Batch [250] Speed: 254.63 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[34] Batch [250] Speed: 254.63 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[34] Batch [300] Speed: 245.59 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[34] Batch [300] Speed: 245.59 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[34] Batch [350] Speed: 249.63 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[34] Batch [350] Speed: 249.63 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[34] Batch [400] Speed: 244.35 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[34] Batch [400] Speed: 244.35 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[34] Batch [450] Speed: 251.68 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[34] Batch [450] Speed: 251.68 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[34] Batch [500] Speed: 246.86 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[34] Batch [500] Speed: 246.86 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[34] Batch [550] Speed: 250.84 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[34] Batch [550] Speed: 250.84 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[34] Batch [600] Speed: 248.15 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[34] Batch [600] Speed: 248.15 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[34] Batch [650] Speed: 250.80 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[34] Batch [650] Speed: 250.80 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[34] Batch [700] Speed: 244.81 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[34] Batch [700] Speed: 244.81 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[34] Batch [750] Speed: 250.54 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[34] Batch [750] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[34] Batch [800] Speed: 254.75 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[34] Batch [800] Speed: 254.75 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[34] Batch [850] Speed: 249.47 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[34] Batch [850] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[34] Batch [900] Speed: 247.85 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[34] Batch [900] Speed: 247.85 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[34] Batch [950] Speed: 247.06 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[34] Batch [950] Speed: 247.06 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 247.55 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 245.65 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 245.65 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 248.38 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 248.38 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 246.54 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 246.54 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 253.11 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 252.49 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 255.48 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 255.48 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 257.12 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 257.12 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 246.71 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 252.80 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 249.82 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 249.82 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 249.36 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 249.36 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 247.63 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 247.63 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 247.98 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 246.75 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 246.75 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 255.30 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 256.34 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 256.34 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 247.69 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 247.69 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 255.30 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 251.70 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 252.55 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 252.55 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 253.53 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 248.16 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 248.16 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 251.29 samples/sec Train-accuracy=0.522422 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 251.29 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 256.31 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 259.98 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 259.98 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 250.30 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 247.48 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 247.48 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 245.83 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 245.83 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 255.95 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 255.95 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 246.49 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 248.13 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 253.12 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 253.12 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 246.88 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 246.88 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 252.69 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 255.35 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 255.35 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 252.37 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 252.37 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 256.39 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 256.39 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 258.96 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 246.58 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 245.29 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 245.29 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 250.34 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 250.34 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 254.53 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 245.67 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 245.67 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 253.50 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 253.50 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 253.90 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 253.90 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 258.61 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 258.61 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 256.81 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 248.50 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 243.86 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 243.86 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 243.46 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 243.46 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 252.08 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 254.29 samples/sec Train-accuracy=0.518437 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 254.29 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 252.08 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 248.17 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 245.66 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 245.66 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 248.44 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 248.44 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 252.19 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 247.62 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 247.62 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 246.55 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 246.55 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 245.29 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 245.29 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 248.72 samples/sec Train-accuracy=0.520859 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 249.78 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 252.46 samples/sec Train-accuracy=0.522969 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 247.99 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 248.87 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 248.87 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 253.64 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 258.60 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 258.60 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 250.43 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 258.82 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 258.82 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 258.92 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 258.92 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 251.92 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 251.92 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 245.32 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 245.32 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 256.43 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 256.43 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 254.62 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 254.62 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 248.85 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 245.90 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 245.90 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 252.45 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 253.02 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 253.02 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[34] Batch [4950] Speed: 250.55 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[34] Batch [4950] Speed: 250.55 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[34] Batch [5000] Speed: 257.67 samples/sec Train-accuracy=0.519766 | |
| INFO:root:Epoch[34] Batch [5000] Speed: 257.67 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[34] Resetting Data Iterator | |
| INFO:root:Epoch[34] Time cost=5111.896 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0035.params" | |
| INFO:root:Epoch[34] Validation-accuracy=0.578424 | |
| INFO:root:Epoch[34] Validation-top_k_accuracy_5=0.822226 | |
| INFO:root:Epoch[35] Batch [50] Speed: 254.50 samples/sec Train-accuracy=0.524062 | |
| INFO:root:Epoch[35] Batch [50] Speed: 254.50 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[35] Batch [100] Speed: 253.52 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[35] Batch [100] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[35] Batch [150] Speed: 254.42 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[35] Batch [150] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[35] Batch [200] Speed: 256.69 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[35] Batch [200] Speed: 256.69 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[35] Batch [250] Speed: 251.69 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[35] Batch [250] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[35] Batch [300] Speed: 254.12 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[35] Batch [300] Speed: 254.12 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[35] Batch [350] Speed: 244.85 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[35] Batch [350] Speed: 244.85 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[35] Batch [400] Speed: 248.64 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[35] Batch [400] Speed: 248.64 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[35] Batch [450] Speed: 253.06 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[35] Batch [450] Speed: 253.06 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[35] Batch [500] Speed: 251.59 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[35] Batch [500] Speed: 251.59 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[35] Batch [550] Speed: 255.09 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[35] Batch [550] Speed: 255.09 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[35] Batch [600] Speed: 247.31 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[35] Batch [600] Speed: 247.31 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[35] Batch [650] Speed: 248.54 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[35] Batch [650] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[35] Batch [700] Speed: 254.79 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[35] Batch [700] Speed: 254.79 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[35] Batch [750] Speed: 254.24 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[35] Batch [750] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[35] Batch [800] Speed: 258.24 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[35] Batch [800] Speed: 258.24 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[35] Batch [850] Speed: 256.85 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[35] Batch [850] Speed: 256.85 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[35] Batch [900] Speed: 250.64 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[35] Batch [900] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[35] Batch [950] Speed: 249.29 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[35] Batch [950] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 257.90 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 257.90 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 250.00 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 249.47 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 245.05 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 245.05 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 256.20 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 256.20 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 254.54 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 254.46 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 254.46 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 247.84 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 247.84 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 252.53 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 245.69 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 248.23 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 248.23 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 252.40 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 246.80 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 246.80 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 247.03 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 248.08 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 248.08 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 247.01 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 247.01 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 246.93 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 246.93 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 251.44 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 250.18 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 250.18 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 246.16 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 249.73 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 249.73 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 249.65 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 249.65 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 252.20 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 251.93 samples/sec Train-accuracy=0.521016 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 251.93 samples/sec Train-top_k_accuracy_5=0.763516 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 249.90 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 249.90 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 253.24 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 253.24 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 253.70 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 253.70 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 255.91 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 255.91 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 257.91 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 257.91 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 246.65 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 246.65 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 250.87 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 250.87 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 252.19 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 257.96 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 256.08 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 254.33 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 249.14 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 250.40 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 246.04 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 246.04 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 247.09 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 247.09 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 251.77 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 251.77 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 252.48 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 252.48 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 250.52 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 250.52 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 249.44 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 253.78 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 253.78 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 247.46 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 247.46 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 244.64 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 244.64 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 245.30 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 245.30 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 245.26 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 245.26 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 253.73 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 246.26 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 246.26 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 248.27 samples/sec Train-accuracy=0.523281 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 248.27 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 253.10 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 253.10 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 252.03 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 252.03 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 246.46 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 246.46 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 248.71 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 248.71 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 248.67 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 248.67 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 250.83 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 250.83 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 251.21 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 251.21 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 244.63 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 244.63 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 249.47 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 257.84 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 257.84 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 258.80 samples/sec Train-accuracy=0.523047 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 258.80 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 250.00 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 245.01 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 245.01 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 248.54 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 249.01 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 249.01 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 248.26 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 252.29 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 255.65 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 255.65 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 250.10 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 255.39 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 255.39 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 254.22 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 249.25 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 248.99 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 248.99 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 247.05 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 247.05 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 250.43 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 249.70 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 251.19 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 249.88 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 249.88 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[35] Batch [4950] Speed: 250.00 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[35] Batch [4950] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[35] Batch [5000] Speed: 256.37 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[35] Batch [5000] Speed: 256.37 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[35] Resetting Data Iterator | |
| INFO:root:Epoch[35] Time cost=5107.396 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0036.params" | |
| INFO:root:Epoch[35] Validation-accuracy=0.571847 | |
| INFO:root:Epoch[35] Validation-top_k_accuracy_5=0.817104 | |
| INFO:root:Epoch[36] Batch [50] Speed: 251.54 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[36] Batch [50] Speed: 251.54 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[36] Batch [100] Speed: 253.73 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[36] Batch [100] Speed: 253.73 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[36] Batch [150] Speed: 253.89 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[36] Batch [150] Speed: 253.89 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[36] Batch [200] Speed: 249.45 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[36] Batch [200] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[36] Batch [250] Speed: 247.86 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[36] Batch [250] Speed: 247.86 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[36] Batch [300] Speed: 249.58 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[36] Batch [300] Speed: 249.58 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[36] Batch [350] Speed: 245.93 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[36] Batch [350] Speed: 245.93 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[36] Batch [400] Speed: 252.65 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[36] Batch [400] Speed: 252.65 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[36] Batch [450] Speed: 251.46 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[36] Batch [450] Speed: 251.46 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[36] Batch [500] Speed: 246.83 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[36] Batch [500] Speed: 246.83 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[36] Batch [550] Speed: 249.42 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[36] Batch [550] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[36] Batch [600] Speed: 253.21 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[36] Batch [600] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[36] Batch [650] Speed: 255.51 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[36] Batch [650] Speed: 255.51 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[36] Batch [700] Speed: 247.26 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[36] Batch [700] Speed: 247.26 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[36] Batch [750] Speed: 249.47 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[36] Batch [750] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[36] Batch [800] Speed: 250.03 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[36] Batch [800] Speed: 250.03 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[36] Batch [850] Speed: 249.86 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[36] Batch [850] Speed: 249.86 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[36] Batch [900] Speed: 248.14 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[36] Batch [900] Speed: 248.14 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[36] Batch [950] Speed: 247.38 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[36] Batch [950] Speed: 247.38 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 253.86 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 247.13 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 247.13 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 256.73 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 256.73 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 251.45 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 251.45 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 244.23 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 244.23 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 245.66 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 245.66 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 250.86 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 250.86 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 251.22 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 249.46 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 249.46 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 247.95 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 247.95 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 252.80 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 246.88 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 246.88 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 257.18 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 257.18 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 253.46 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 253.46 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 251.21 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 251.21 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 258.41 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 258.41 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 254.98 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 258.01 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 258.01 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 251.48 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 251.48 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 243.94 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 243.94 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 254.42 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 258.27 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 258.27 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 259.59 samples/sec Train-accuracy=0.521484 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 259.59 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 257.08 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 257.08 samples/sec Train-top_k_accuracy_5=0.760703 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 246.42 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 246.42 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 246.80 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 246.80 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 247.33 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 247.33 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 251.77 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 251.77 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 249.79 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 249.79 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 247.11 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 247.11 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 251.83 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 253.47 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 253.47 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 251.97 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 251.91 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 251.91 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 244.51 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 244.51 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 254.58 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 254.58 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 258.51 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 258.51 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 247.25 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 248.95 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 248.95 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 251.11 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 251.11 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 254.54 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 254.04 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 254.04 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 259.00 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 259.00 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 253.27 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 253.27 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 254.16 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 254.16 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 247.36 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 243.85 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 243.85 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 256.08 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 256.40 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 256.40 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 259.00 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 259.00 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 250.35 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 257.43 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 257.43 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 244.79 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 244.79 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 246.19 samples/sec Train-accuracy=0.522969 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 254.10 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 254.10 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 257.50 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 257.50 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 249.22 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 249.22 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 257.18 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 257.18 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 252.87 samples/sec Train-accuracy=0.525625 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 252.87 samples/sec Train-top_k_accuracy_5=0.762031 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 245.00 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 245.00 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 248.96 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 248.96 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 252.65 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 252.65 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 255.29 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 255.29 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 256.77 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 249.92 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 251.51 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 251.51 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 257.14 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 257.14 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 256.99 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 256.99 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 253.50 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 253.50 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 258.23 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 258.23 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 257.98 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 257.98 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 258.49 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 258.49 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 258.13 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 258.13 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 250.38 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 252.29 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 249.57 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 249.57 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 253.37 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 258.07 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 258.23 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 258.23 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[36] Batch [4950] Speed: 253.00 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[36] Batch [4950] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[36] Batch [5000] Speed: 253.37 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[36] Batch [5000] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[36] Resetting Data Iterator | |
| INFO:root:Epoch[36] Time cost=5084.279 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0037.params" | |
| INFO:root:Epoch[36] Validation-accuracy=0.563138 | |
| INFO:root:Epoch[36] Validation-top_k_accuracy_5=0.810926 | |
| INFO:root:Epoch[37] Batch [50] Speed: 253.35 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[37] Batch [50] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[37] Batch [100] Speed: 253.24 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[37] Batch [100] Speed: 253.24 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[37] Batch [150] Speed: 246.91 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[37] Batch [150] Speed: 246.91 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[37] Batch [200] Speed: 258.06 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[37] Batch [200] Speed: 258.06 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[37] Batch [250] Speed: 253.39 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[37] Batch [250] Speed: 253.39 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[37] Batch [300] Speed: 252.26 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[37] Batch [300] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[37] Batch [350] Speed: 252.38 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[37] Batch [350] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[37] Batch [400] Speed: 249.45 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[37] Batch [400] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[37] Batch [450] Speed: 252.03 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[37] Batch [450] Speed: 252.03 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[37] Batch [500] Speed: 246.19 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[37] Batch [500] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[37] Batch [550] Speed: 256.79 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[37] Batch [550] Speed: 256.79 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[37] Batch [600] Speed: 254.49 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[37] Batch [600] Speed: 254.49 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[37] Batch [650] Speed: 254.99 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[37] Batch [650] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[37] Batch [700] Speed: 248.61 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[37] Batch [700] Speed: 248.61 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[37] Batch [750] Speed: 252.34 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[37] Batch [750] Speed: 252.34 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[37] Batch [800] Speed: 244.40 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[37] Batch [800] Speed: 244.40 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[37] Batch [850] Speed: 251.02 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[37] Batch [850] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[37] Batch [900] Speed: 246.84 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[37] Batch [900] Speed: 246.84 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[37] Batch [950] Speed: 252.52 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[37] Batch [950] Speed: 252.52 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 253.31 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 254.78 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 254.78 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 254.31 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 254.31 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 247.50 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 251.81 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 251.81 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 244.51 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 244.51 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 253.52 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 245.08 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 245.08 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 246.99 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 246.99 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 257.02 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 257.02 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 249.83 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 249.83 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 253.46 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 253.46 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 248.56 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 248.56 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 247.75 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 247.75 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 248.32 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 254.44 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 254.44 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 255.21 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 252.13 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 252.13 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 259.02 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 259.02 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 252.26 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 245.98 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 245.98 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 248.58 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 248.58 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 244.32 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 244.32 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 247.22 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.762344 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 246.15 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 246.15 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 247.81 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 244.00 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 244.00 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 247.98 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 247.03 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 250.31 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 255.40 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 255.40 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 251.68 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 251.68 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 251.42 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 252.58 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 252.58 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 253.66 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 251.01 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 251.01 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 245.69 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 253.84 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 253.84 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 255.22 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 255.22 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 253.08 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 253.08 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 252.27 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 252.27 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 252.83 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 252.83 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 253.20 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 248.54 samples/sec Train-accuracy=0.505938 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 253.79 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 253.79 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 244.92 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 244.92 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 253.44 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 253.44 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 258.32 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 258.32 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 255.23 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 255.23 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 245.82 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 245.82 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 255.97 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 255.97 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 251.87 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 249.34 samples/sec Train-accuracy=0.522344 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 249.34 samples/sec Train-top_k_accuracy_5=0.762344 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 244.43 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 244.43 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 253.02 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 253.02 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 250.65 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 250.65 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 245.58 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 245.58 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 253.54 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 254.88 samples/sec Train-accuracy=0.522578 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 254.88 samples/sec Train-top_k_accuracy_5=0.763750 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 248.27 samples/sec Train-accuracy=0.523047 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 248.27 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 249.77 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 249.77 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 257.31 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 257.31 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 252.80 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 247.41 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 247.41 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 251.32 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 251.32 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 253.55 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 253.55 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 255.28 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 255.28 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 244.74 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 244.74 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 247.04 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 247.04 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 246.23 samples/sec Train-accuracy=0.521016 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 246.23 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 250.10 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 248.70 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 248.70 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 244.36 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 244.36 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 250.43 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 244.42 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 244.42 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 252.84 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 254.18 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 253.08 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 253.08 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 251.74 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 251.74 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[37] Batch [4950] Speed: 252.17 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[37] Batch [4950] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[37] Batch [5000] Speed: 257.86 samples/sec Train-accuracy=0.523125 | |
| INFO:root:Epoch[37] Batch [5000] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.761250 | |
| INFO:root:Epoch[37] Resetting Data Iterator | |
| INFO:root:Epoch[37] Time cost=5106.546 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0038.params" | |
| INFO:root:Epoch[37] Validation-accuracy=0.573143 | |
| INFO:root:Epoch[37] Validation-top_k_accuracy_5=0.816426 | |
| INFO:root:Epoch[38] Batch [50] Speed: 245.02 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[38] Batch [50] Speed: 245.02 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[38] Batch [100] Speed: 245.05 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[38] Batch [100] Speed: 245.05 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[38] Batch [150] Speed: 250.89 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[38] Batch [150] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[38] Batch [200] Speed: 248.55 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[38] Batch [200] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[38] Batch [250] Speed: 245.79 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[38] Batch [250] Speed: 245.79 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[38] Batch [300] Speed: 248.72 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[38] Batch [300] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[38] Batch [350] Speed: 248.46 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[38] Batch [350] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[38] Batch [400] Speed: 257.23 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[38] Batch [400] Speed: 257.23 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[38] Batch [450] Speed: 246.01 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[38] Batch [450] Speed: 246.01 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[38] Batch [500] Speed: 251.10 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[38] Batch [500] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[38] Batch [550] Speed: 245.10 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[38] Batch [550] Speed: 245.10 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[38] Batch [600] Speed: 254.64 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[38] Batch [600] Speed: 254.64 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[38] Batch [650] Speed: 250.53 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[38] Batch [650] Speed: 250.53 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[38] Batch [700] Speed: 246.35 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[38] Batch [700] Speed: 246.35 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[38] Batch [750] Speed: 250.76 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[38] Batch [750] Speed: 250.76 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[38] Batch [800] Speed: 252.11 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[38] Batch [800] Speed: 252.11 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[38] Batch [850] Speed: 246.51 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[38] Batch [850] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[38] Batch [900] Speed: 246.55 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[38] Batch [900] Speed: 246.55 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[38] Batch [950] Speed: 251.17 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[38] Batch [950] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 253.85 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 253.85 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 245.18 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 245.18 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 249.80 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 249.80 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 256.32 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 257.42 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 255.25 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 255.25 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 252.06 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 247.03 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 248.34 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 257.47 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 257.47 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 252.39 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 251.70 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 251.70 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 251.90 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 251.90 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 249.62 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 249.62 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 253.65 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 255.79 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 244.50 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 244.50 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 252.09 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 252.09 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 250.45 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 250.45 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 248.81 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 248.81 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 247.37 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 247.37 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 252.10 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 252.10 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 257.53 samples/sec Train-accuracy=0.525703 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 257.53 samples/sec Train-top_k_accuracy_5=0.761328 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 251.91 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 251.91 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 253.69 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 253.69 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 252.92 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 252.92 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 249.18 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 249.18 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 243.40 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 243.40 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 244.76 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 244.76 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 250.67 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 250.67 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 248.54 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 249.22 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 249.22 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 248.89 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 250.59 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 250.59 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 249.00 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 249.00 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 246.17 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 254.74 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 254.74 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 255.86 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 255.86 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 254.64 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 254.64 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 250.32 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 250.32 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 257.88 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 257.88 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 253.66 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 247.58 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 253.67 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 248.32 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 255.36 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 255.36 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 253.35 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 249.82 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 249.82 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 249.99 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 249.99 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 252.53 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 252.96 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 252.96 samples/sec Train-top_k_accuracy_5=0.762031 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 244.75 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 244.75 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 248.40 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 247.81 samples/sec Train-accuracy=0.522031 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 248.54 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 248.54 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 251.05 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 251.05 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 246.01 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 246.01 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 247.02 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 247.02 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 249.83 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 249.83 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 257.60 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 257.60 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 247.92 samples/sec Train-accuracy=0.524297 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 249.66 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 253.39 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 253.39 samples/sec Train-top_k_accuracy_5=0.758594 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 246.67 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 246.17 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 244.51 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 244.51 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 243.90 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 243.90 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 244.43 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 244.43 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 247.47 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 247.47 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 252.65 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 252.65 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 253.37 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 253.18 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 252.05 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 252.05 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 247.32 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 246.22 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 248.73 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 248.73 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 246.78 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 246.78 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 257.30 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 257.30 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[38] Batch [4950] Speed: 256.88 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[38] Batch [4950] Speed: 256.88 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[38] Batch [5000] Speed: 252.53 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[38] Batch [5000] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[38] Resetting Data Iterator | |
| INFO:root:Epoch[38] Time cost=5119.508 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0039.params" | |
| INFO:root:Epoch[38] Validation-accuracy=0.572565 | |
| INFO:root:Epoch[38] Validation-top_k_accuracy_5=0.817921 | |
| INFO:root:Epoch[39] Batch [50] Speed: 250.26 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[39] Batch [50] Speed: 250.26 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[39] Batch [100] Speed: 250.20 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[39] Batch [100] Speed: 250.20 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[39] Batch [150] Speed: 254.07 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[39] Batch [150] Speed: 254.07 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[39] Batch [200] Speed: 246.34 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[39] Batch [200] Speed: 246.34 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[39] Batch [250] Speed: 243.77 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[39] Batch [250] Speed: 243.77 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[39] Batch [300] Speed: 243.73 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[39] Batch [300] Speed: 243.73 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[39] Batch [350] Speed: 246.71 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[39] Batch [350] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[39] Batch [400] Speed: 251.75 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[39] Batch [400] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[39] Batch [450] Speed: 253.81 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[39] Batch [450] Speed: 253.81 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[39] Batch [500] Speed: 253.15 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[39] Batch [500] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[39] Batch [550] Speed: 256.78 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[39] Batch [550] Speed: 256.78 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[39] Batch [600] Speed: 253.09 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[39] Batch [600] Speed: 253.09 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[39] Batch [650] Speed: 252.57 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[39] Batch [650] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[39] Batch [700] Speed: 250.07 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[39] Batch [700] Speed: 250.07 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[39] Batch [750] Speed: 246.62 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[39] Batch [750] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.763203 | |
| INFO:root:Epoch[39] Batch [800] Speed: 251.61 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[39] Batch [800] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[39] Batch [850] Speed: 249.64 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[39] Batch [850] Speed: 249.64 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[39] Batch [900] Speed: 245.37 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[39] Batch [900] Speed: 245.37 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[39] Batch [950] Speed: 246.79 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[39] Batch [950] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 245.09 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 245.09 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 243.78 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 243.78 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 252.88 samples/sec Train-accuracy=0.520391 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 255.05 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 255.05 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 247.96 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 248.01 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 245.44 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 245.44 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 248.15 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 248.15 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 254.35 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 254.35 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 253.78 samples/sec Train-accuracy=0.520469 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 253.78 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 255.31 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 255.31 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 250.60 samples/sec Train-accuracy=0.521172 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 254.22 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 247.55 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 245.42 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 245.42 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 257.17 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 257.17 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 248.04 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 256.58 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 256.58 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 256.78 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 256.78 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 253.74 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 253.74 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 256.56 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 256.56 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 255.87 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 255.87 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 251.57 samples/sec Train-accuracy=0.522031 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 251.57 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 251.00 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 251.00 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 247.75 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 247.75 samples/sec Train-top_k_accuracy_5=0.757578 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 253.23 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 253.23 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 259.12 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 259.12 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 255.89 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 255.89 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 253.80 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 253.80 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 258.09 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 258.09 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 253.09 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 253.09 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 249.56 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 255.88 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 256.58 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 256.58 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 243.77 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 243.77 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 245.20 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 250.86 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 250.86 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 254.97 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 254.97 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 252.84 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 252.84 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 244.59 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 244.59 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 247.41 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 247.41 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 252.43 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 250.89 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 254.36 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 257.15 samples/sec Train-accuracy=0.526484 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 257.15 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 248.90 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 254.44 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 254.44 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 254.73 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 254.73 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 244.76 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 244.76 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 244.00 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 244.00 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 246.77 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 251.60 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 251.60 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 243.14 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 243.14 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 247.26 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 247.26 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 253.32 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 253.32 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 256.30 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 256.30 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 257.60 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 257.60 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 249.32 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 249.32 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 252.41 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 252.41 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 254.19 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 254.19 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 253.67 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 256.88 samples/sec Train-accuracy=0.523203 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 256.88 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 252.54 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 257.76 samples/sec Train-accuracy=0.522109 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 257.76 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 253.24 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 253.24 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 248.78 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 249.55 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 249.55 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 254.92 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 254.92 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 253.58 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 253.58 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 253.51 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 253.51 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 258.19 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 258.19 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 256.41 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 256.41 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 252.62 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 252.62 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 248.83 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 248.83 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 249.10 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 249.10 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 246.78 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 246.78 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 253.04 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 253.04 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 258.96 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 254.21 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[39] Batch [4950] Speed: 254.32 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[39] Batch [4950] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[39] Batch [5000] Speed: 254.41 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[39] Batch [5000] Speed: 254.41 samples/sec Train-top_k_accuracy_5=0.762031 | |
| INFO:root:Epoch[39] Resetting Data Iterator | |
| INFO:root:Epoch[39] Time cost=5093.455 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0040.params" | |
| INFO:root:Epoch[39] Validation-accuracy=0.568459 | |
| INFO:root:Epoch[39] Validation-top_k_accuracy_5=0.817921 | |
| INFO:root:Epoch[40] Batch [50] Speed: 244.72 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[40] Batch [50] Speed: 244.72 samples/sec Train-top_k_accuracy_5=0.761953 | |
| INFO:root:Epoch[40] Batch [100] Speed: 257.86 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[40] Batch [100] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[40] Batch [150] Speed: 251.70 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[40] Batch [150] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.749609 | |
| INFO:root:Epoch[40] Batch [200] Speed: 251.69 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[40] Batch [200] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[40] Batch [250] Speed: 252.36 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[40] Batch [250] Speed: 252.36 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[40] Batch [300] Speed: 247.54 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[40] Batch [300] Speed: 247.54 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[40] Batch [350] Speed: 248.41 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[40] Batch [350] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[40] Batch [400] Speed: 249.18 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[40] Batch [400] Speed: 249.18 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[40] Batch [450] Speed: 246.97 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[40] Batch [450] Speed: 246.97 samples/sec Train-top_k_accuracy_5=0.761484 | |
| INFO:root:Epoch[40] Batch [500] Speed: 249.91 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[40] Batch [500] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[40] Batch [550] Speed: 254.32 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[40] Batch [550] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[40] Batch [600] Speed: 252.18 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[40] Batch [600] Speed: 252.18 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[40] Batch [650] Speed: 246.67 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[40] Batch [650] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[40] Batch [700] Speed: 246.84 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[40] Batch [700] Speed: 246.84 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[40] Batch [750] Speed: 244.20 samples/sec Train-accuracy=0.519687 | |
| INFO:root:Epoch[40] Batch [750] Speed: 244.20 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[40] Batch [800] Speed: 252.07 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[40] Batch [800] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[40] Batch [850] Speed: 250.38 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[40] Batch [850] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[40] Batch [900] Speed: 249.53 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[40] Batch [900] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[40] Batch [950] Speed: 257.14 samples/sec Train-accuracy=0.509453 | |
| INFO:root:Epoch[40] Batch [950] Speed: 257.14 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 256.46 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 256.46 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 254.61 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 259.62 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 259.62 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 255.79 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 254.78 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 254.78 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 255.71 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 255.71 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 249.03 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 247.43 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 247.43 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 252.00 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 252.00 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 249.28 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 249.28 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 246.88 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 246.88 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 251.40 samples/sec Train-accuracy=0.524453 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 251.40 samples/sec Train-top_k_accuracy_5=0.759141 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 245.12 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 245.12 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 246.42 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 246.42 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 247.57 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 247.57 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 245.34 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 245.86 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 245.86 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 248.60 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 248.60 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 248.65 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 248.65 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 254.19 samples/sec Train-accuracy=0.526328 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 254.19 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 251.88 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 251.88 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 244.88 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 244.88 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 250.45 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 250.45 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 255.80 samples/sec Train-accuracy=0.523281 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 255.80 samples/sec Train-top_k_accuracy_5=0.763359 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 252.79 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 257.65 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 255.76 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 255.76 samples/sec Train-top_k_accuracy_5=0.751563 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 253.68 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 253.68 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 249.62 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 249.62 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 252.17 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 248.86 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 248.86 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 249.76 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 249.76 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 252.30 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 255.16 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 255.16 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 251.07 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 251.07 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 247.51 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 247.51 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 247.19 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 247.19 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 250.31 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 256.13 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 256.13 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 256.90 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 256.90 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 247.10 samples/sec Train-accuracy=0.519453 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 247.10 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 256.11 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 256.11 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 250.56 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 250.56 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 253.45 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 253.45 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 254.00 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 247.30 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 247.30 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 243.93 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 243.93 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 245.50 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 245.50 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 255.45 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 254.36 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 246.36 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 246.36 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 256.26 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 254.37 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 254.37 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 244.07 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 244.07 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 250.91 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 250.91 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 247.64 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 253.43 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 253.43 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 244.67 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 244.67 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 247.82 samples/sec Train-accuracy=0.524766 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 247.82 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 255.45 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.749141 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 255.21 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 252.64 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 252.64 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 247.88 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 253.65 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 249.60 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 249.60 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 255.93 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 255.93 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 251.74 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 251.74 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 256.79 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 256.79 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 251.61 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 250.55 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 250.55 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 252.12 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 252.12 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 245.48 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 245.48 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 248.93 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 248.40 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 245.62 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 249.03 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 244.87 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 244.87 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 249.15 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 249.15 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 246.88 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 246.88 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[40] Batch [4950] Speed: 248.26 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[40] Batch [4950] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[40] Batch [5000] Speed: 248.99 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[40] Batch [5000] Speed: 248.99 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[40] Resetting Data Iterator | |
| INFO:root:Epoch[40] Time cost=5112.137 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0041.params" | |
| INFO:root:Epoch[40] Validation-accuracy=0.576630 | |
| INFO:root:Epoch[40] Validation-top_k_accuracy_5=0.822764 | |
| INFO:root:Epoch[41] Batch [50] Speed: 245.26 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[41] Batch [50] Speed: 245.26 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[41] Batch [100] Speed: 248.91 samples/sec Train-accuracy=0.524844 | |
| INFO:root:Epoch[41] Batch [100] Speed: 248.91 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[41] Batch [150] Speed: 250.77 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[41] Batch [150] Speed: 250.77 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[41] Batch [200] Speed: 245.33 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[41] Batch [200] Speed: 245.33 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[41] Batch [250] Speed: 249.67 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[41] Batch [250] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[41] Batch [300] Speed: 249.70 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[41] Batch [300] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[41] Batch [350] Speed: 245.62 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[41] Batch [350] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[41] Batch [400] Speed: 246.92 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[41] Batch [400] Speed: 246.92 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[41] Batch [450] Speed: 248.65 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[41] Batch [450] Speed: 248.65 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[41] Batch [500] Speed: 246.14 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[41] Batch [500] Speed: 246.14 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[41] Batch [550] Speed: 250.80 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[41] Batch [550] Speed: 250.80 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[41] Batch [600] Speed: 258.42 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[41] Batch [600] Speed: 258.42 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[41] Batch [650] Speed: 246.61 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[41] Batch [650] Speed: 246.61 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[41] Batch [700] Speed: 252.95 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[41] Batch [700] Speed: 252.95 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[41] Batch [750] Speed: 256.18 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[41] Batch [750] Speed: 256.18 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[41] Batch [800] Speed: 251.12 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[41] Batch [800] Speed: 251.12 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[41] Batch [850] Speed: 249.38 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[41] Batch [850] Speed: 249.38 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[41] Batch [900] Speed: 251.82 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[41] Batch [900] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[41] Batch [950] Speed: 249.60 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[41] Batch [950] Speed: 249.60 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 257.42 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 255.40 samples/sec Train-accuracy=0.520312 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 255.40 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 246.18 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 246.18 samples/sec Train-top_k_accuracy_5=0.763828 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 247.04 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 247.04 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 248.93 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 248.43 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 248.43 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 248.04 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 252.64 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 252.64 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 253.11 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 246.94 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 246.94 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 247.51 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 247.51 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 254.26 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 252.80 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 256.31 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 253.18 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 250.53 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 250.53 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 251.33 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 251.33 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 246.24 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 246.24 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 251.92 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 251.92 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 248.85 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 251.40 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 251.40 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 252.43 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 255.68 samples/sec Train-accuracy=0.520234 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 255.68 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 248.57 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.763047 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 252.07 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 250.66 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 250.66 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 257.85 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 257.85 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 254.46 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 254.46 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 251.58 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 246.63 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 247.03 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 244.12 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 244.12 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 249.81 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 249.81 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 256.05 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 256.05 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 255.62 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 255.62 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 250.49 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 250.49 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 249.67 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 258.79 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 258.79 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 251.62 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 251.62 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 249.43 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 249.43 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 252.46 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 252.30 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 248.74 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 248.74 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 249.63 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 249.63 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 257.39 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 257.39 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 251.17 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 247.55 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 255.27 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 255.27 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 257.68 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 257.68 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 249.35 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 249.35 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 252.72 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 252.72 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 247.81 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 251.50 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 251.61 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 244.66 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 244.66 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 243.41 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 243.41 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 256.87 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 256.87 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 258.54 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 249.85 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 249.85 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 250.75 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 250.75 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 254.15 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 254.15 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 256.45 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 256.45 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 250.37 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 250.37 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 250.57 samples/sec Train-accuracy=0.518281 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 254.53 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 249.77 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 249.77 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 256.06 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 251.67 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 251.67 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 246.47 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 246.47 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 246.13 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 246.13 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 249.61 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 250.50 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 245.60 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 251.17 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 254.80 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 254.80 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 248.49 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 248.49 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 246.66 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 246.66 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 256.78 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 256.78 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 245.55 samples/sec Train-accuracy=0.523672 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[41] Batch [4950] Speed: 254.24 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[41] Batch [4950] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[41] Batch [5000] Speed: 256.08 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[41] Batch [5000] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[41] Resetting Data Iterator | |
| INFO:root:Epoch[41] Time cost=5105.163 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0042.params" | |
| INFO:root:Epoch[41] Validation-accuracy=0.571289 | |
| INFO:root:Epoch[41] Validation-top_k_accuracy_5=0.818160 | |
| INFO:root:Epoch[42] Batch [50] Speed: 250.96 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[42] Batch [50] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.760547 | |
| INFO:root:Epoch[42] Batch [100] Speed: 250.41 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[42] Batch [100] Speed: 250.41 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[42] Batch [150] Speed: 252.91 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[42] Batch [150] Speed: 252.91 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[42] Batch [200] Speed: 253.65 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[42] Batch [200] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[42] Batch [250] Speed: 252.28 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[42] Batch [250] Speed: 252.28 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[42] Batch [300] Speed: 256.75 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[42] Batch [300] Speed: 256.75 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[42] Batch [350] Speed: 248.05 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[42] Batch [350] Speed: 248.05 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[42] Batch [400] Speed: 247.48 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[42] Batch [400] Speed: 247.48 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[42] Batch [450] Speed: 246.62 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[42] Batch [450] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[42] Batch [500] Speed: 258.83 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[42] Batch [500] Speed: 258.83 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[42] Batch [550] Speed: 255.13 samples/sec Train-accuracy=0.508828 | |
| INFO:root:Epoch[42] Batch [550] Speed: 255.13 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[42] Batch [600] Speed: 249.56 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[42] Batch [600] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[42] Batch [650] Speed: 251.50 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[42] Batch [650] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[42] Batch [700] Speed: 247.98 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[42] Batch [700] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[42] Batch [750] Speed: 253.46 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[42] Batch [750] Speed: 253.46 samples/sec Train-top_k_accuracy_5=0.760703 | |
| INFO:root:Epoch[42] Batch [800] Speed: 253.30 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[42] Batch [800] Speed: 253.30 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[42] Batch [850] Speed: 246.63 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[42] Batch [850] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[42] Batch [900] Speed: 250.14 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[42] Batch [900] Speed: 250.14 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[42] Batch [950] Speed: 244.75 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[42] Batch [950] Speed: 244.75 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 246.36 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 246.36 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 253.93 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 257.55 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 257.55 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 253.65 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 256.05 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 256.05 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 252.45 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 244.79 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 244.79 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 250.12 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 250.12 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 249.67 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 252.80 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 255.41 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 255.41 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 247.14 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 247.14 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 251.53 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 251.53 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 256.08 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 250.97 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 250.97 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 250.72 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 250.72 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 253.11 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 255.22 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 255.22 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 254.79 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 254.79 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 252.58 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 252.58 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 246.53 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 246.53 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 244.61 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 244.61 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 251.41 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 245.61 samples/sec Train-accuracy=0.521875 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 245.61 samples/sec Train-top_k_accuracy_5=0.761172 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 246.39 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 246.39 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 258.49 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 258.49 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 251.20 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 251.20 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 251.95 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 251.95 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 245.70 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 245.70 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 248.34 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 250.05 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 251.33 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 251.33 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 247.16 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 247.16 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 250.63 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 250.63 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 247.28 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 247.28 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 253.59 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 253.59 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 249.14 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 245.88 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 245.88 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 249.94 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.761250 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 244.21 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 244.21 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 247.07 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 248.82 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 248.82 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 253.15 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 243.12 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 243.12 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 255.25 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 255.25 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 258.97 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 258.97 samples/sec Train-top_k_accuracy_5=0.761719 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 256.25 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 256.25 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 246.03 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 246.03 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 248.91 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 248.91 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 249.85 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 249.85 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 249.78 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 248.90 samples/sec Train-accuracy=0.520859 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 245.13 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 245.13 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 247.45 samples/sec Train-accuracy=0.523203 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 251.38 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 251.89 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 251.89 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 250.07 samples/sec Train-accuracy=0.506484 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 250.07 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 248.12 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 256.06 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.763125 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 249.17 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 249.17 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 249.84 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 249.84 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 247.66 samples/sec Train-accuracy=0.519297 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 247.66 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 247.91 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 249.80 samples/sec Train-accuracy=0.522188 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 249.80 samples/sec Train-top_k_accuracy_5=0.758594 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 253.28 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 253.28 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 250.90 samples/sec Train-accuracy=0.505469 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 250.90 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 256.09 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 256.09 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 250.10 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 252.13 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 252.13 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 250.32 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 250.32 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 249.03 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 252.30 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 249.34 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 249.34 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 252.30 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 255.53 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 255.53 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 254.92 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 254.92 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 251.58 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 252.17 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 248.01 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[42] Batch [4950] Speed: 246.00 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[42] Batch [4950] Speed: 246.00 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[42] Batch [5000] Speed: 248.51 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[42] Batch [5000] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[42] Resetting Data Iterator | |
| INFO:root:Epoch[42] Time cost=5112.477 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0043.params" | |
| INFO:root:Epoch[42] Validation-accuracy=0.531967 | |
| INFO:root:Epoch[42] Validation-top_k_accuracy_5=0.783382 | |
| INFO:root:Epoch[43] Batch [50] Speed: 255.21 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[43] Batch [50] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[43] Batch [100] Speed: 256.92 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[43] Batch [100] Speed: 256.92 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[43] Batch [150] Speed: 257.11 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[43] Batch [150] Speed: 257.11 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[43] Batch [200] Speed: 248.98 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[43] Batch [200] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.759922 | |
| INFO:root:Epoch[43] Batch [250] Speed: 253.64 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[43] Batch [250] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[43] Batch [300] Speed: 247.62 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[43] Batch [300] Speed: 247.62 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[43] Batch [350] Speed: 251.37 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[43] Batch [350] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[43] Batch [400] Speed: 253.41 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[43] Batch [400] Speed: 253.41 samples/sec Train-top_k_accuracy_5=0.760312 | |
| INFO:root:Epoch[43] Batch [450] Speed: 248.18 samples/sec Train-accuracy=0.520469 | |
| INFO:root:Epoch[43] Batch [450] Speed: 248.18 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[43] Batch [500] Speed: 249.49 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[43] Batch [500] Speed: 249.49 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[43] Batch [550] Speed: 253.49 samples/sec Train-accuracy=0.520938 | |
| INFO:root:Epoch[43] Batch [550] Speed: 253.49 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[43] Batch [600] Speed: 253.53 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[43] Batch [600] Speed: 253.53 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[43] Batch [650] Speed: 248.76 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[43] Batch [650] Speed: 248.76 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[43] Batch [700] Speed: 251.22 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[43] Batch [700] Speed: 251.22 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[43] Batch [750] Speed: 255.97 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[43] Batch [750] Speed: 255.97 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[43] Batch [800] Speed: 252.78 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[43] Batch [800] Speed: 252.78 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[43] Batch [850] Speed: 248.10 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[43] Batch [850] Speed: 248.10 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[43] Batch [900] Speed: 251.15 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[43] Batch [900] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[43] Batch [950] Speed: 244.84 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[43] Batch [950] Speed: 244.84 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 248.01 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 246.52 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 246.52 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 249.46 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 249.46 samples/sec Train-top_k_accuracy_5=0.759531 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 250.57 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 251.37 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 245.55 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 250.33 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 251.84 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 253.54 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 253.98 samples/sec Train-accuracy=0.524609 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 253.98 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 248.99 samples/sec Train-accuracy=0.518281 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 248.99 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 246.33 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 246.33 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 250.61 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 251.89 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 251.89 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 248.71 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 248.71 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 251.47 samples/sec Train-accuracy=0.522031 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 251.47 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 249.73 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 249.73 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 251.27 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 246.37 samples/sec Train-accuracy=0.519766 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 246.37 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 253.83 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 252.06 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 248.73 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 248.73 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 256.81 samples/sec Train-accuracy=0.516719 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 255.25 samples/sec Train-accuracy=0.524844 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 255.25 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 251.49 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 252.29 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.757578 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 255.46 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 255.46 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 244.60 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 244.60 samples/sec Train-top_k_accuracy_5=0.761406 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 245.91 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 245.91 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 248.57 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 249.66 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 252.30 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 256.04 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 256.04 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 247.92 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 253.92 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 251.19 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.761172 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 245.40 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 245.40 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 246.08 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 246.08 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 251.83 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 243.28 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 243.28 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 245.12 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 245.12 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 253.74 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 253.74 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 245.11 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 245.11 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 249.06 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 249.06 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 246.40 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 246.40 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 250.00 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 250.49 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 250.49 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 258.25 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 258.25 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 250.58 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 250.58 samples/sec Train-top_k_accuracy_5=0.760859 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 251.19 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 251.65 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 252.76 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 252.76 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 252.40 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 248.32 samples/sec Train-accuracy=0.520234 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 248.26 samples/sec Train-accuracy=0.522266 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 255.58 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 255.73 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 255.73 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 249.73 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 249.73 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 248.65 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 248.65 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 255.90 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 255.90 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 251.82 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 256.90 samples/sec Train-accuracy=0.522500 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 256.90 samples/sec Train-top_k_accuracy_5=0.762422 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 257.41 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 252.66 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 252.66 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 254.83 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 254.83 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 259.18 samples/sec Train-accuracy=0.509375 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 253.19 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 253.19 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 251.55 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 251.55 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 253.05 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 253.05 samples/sec Train-top_k_accuracy_5=0.758359 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 251.86 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 251.86 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 247.80 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 247.80 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 249.70 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 249.51 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 256.95 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 256.95 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 247.08 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 247.08 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 253.82 samples/sec Train-accuracy=0.509297 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 253.82 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 249.01 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 249.01 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 247.90 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 247.90 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 257.41 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[43] Batch [4950] Speed: 258.58 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[43] Batch [4950] Speed: 258.58 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[43] Batch [5000] Speed: 259.23 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[43] Batch [5000] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[43] Resetting Data Iterator | |
| INFO:root:Epoch[43] Time cost=5099.137 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0044.params" | |
| INFO:root:Epoch[43] Validation-accuracy=0.579739 | |
| INFO:root:Epoch[43] Validation-top_k_accuracy_5=0.821767 | |
| INFO:root:Epoch[44] Batch [50] Speed: 250.17 samples/sec Train-accuracy=0.525391 | |
| INFO:root:Epoch[44] Batch [50] Speed: 250.17 samples/sec Train-top_k_accuracy_5=0.761250 | |
| INFO:root:Epoch[44] Batch [100] Speed: 255.74 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[44] Batch [100] Speed: 255.74 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[44] Batch [150] Speed: 258.99 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[44] Batch [150] Speed: 258.99 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[44] Batch [200] Speed: 250.72 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[44] Batch [200] Speed: 250.72 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[44] Batch [250] Speed: 249.02 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[44] Batch [250] Speed: 249.02 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[44] Batch [300] Speed: 252.17 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[44] Batch [300] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[44] Batch [350] Speed: 243.80 samples/sec Train-accuracy=0.522891 | |
| INFO:root:Epoch[44] Batch [350] Speed: 243.80 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[44] Batch [400] Speed: 252.20 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[44] Batch [400] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[44] Batch [450] Speed: 253.01 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[44] Batch [450] Speed: 253.01 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[44] Batch [500] Speed: 246.18 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[44] Batch [500] Speed: 246.18 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[44] Batch [550] Speed: 250.47 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[44] Batch [550] Speed: 250.47 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[44] Batch [600] Speed: 251.56 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[44] Batch [600] Speed: 251.56 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[44] Batch [650] Speed: 253.55 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[44] Batch [650] Speed: 253.55 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[44] Batch [700] Speed: 250.20 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[44] Batch [700] Speed: 250.20 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[44] Batch [750] Speed: 257.23 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[44] Batch [750] Speed: 257.23 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[44] Batch [800] Speed: 254.84 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[44] Batch [800] Speed: 254.84 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[44] Batch [850] Speed: 257.03 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[44] Batch [850] Speed: 257.03 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[44] Batch [900] Speed: 253.76 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[44] Batch [900] Speed: 253.76 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[44] Batch [950] Speed: 245.24 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[44] Batch [950] Speed: 245.24 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 253.03 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 253.03 samples/sec Train-top_k_accuracy_5=0.760312 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 250.15 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 250.15 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 251.37 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 251.37 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 253.38 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 253.38 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 248.97 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 252.02 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 252.02 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 251.83 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 248.93 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 248.29 samples/sec Train-accuracy=0.520859 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 248.29 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 245.07 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 245.07 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 251.70 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 248.94 samples/sec Train-accuracy=0.525312 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.761172 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 253.25 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 253.25 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 256.42 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 256.42 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 253.07 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 253.07 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 252.31 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 252.31 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 245.12 samples/sec Train-accuracy=0.520312 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 245.12 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 255.64 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 255.64 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 255.65 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 255.65 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 249.75 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 249.75 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 247.06 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 247.06 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 243.76 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 243.76 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 253.78 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 253.78 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 246.61 samples/sec Train-accuracy=0.526328 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 246.61 samples/sec Train-top_k_accuracy_5=0.764687 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 246.59 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 246.59 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 252.02 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 252.02 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 249.98 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 248.28 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 248.28 samples/sec Train-top_k_accuracy_5=0.760469 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 253.02 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 253.02 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 257.89 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 257.89 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 257.69 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 257.69 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 255.07 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 255.07 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 257.36 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 257.36 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 252.17 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 258.55 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 258.55 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 255.80 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 255.80 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 253.18 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 246.37 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 246.37 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 246.22 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 250.06 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 250.06 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 252.16 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 252.16 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 249.51 samples/sec Train-accuracy=0.520234 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 247.98 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 250.56 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 250.56 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 244.07 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 244.07 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 246.69 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 246.69 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 248.55 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 250.16 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 250.16 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 247.41 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 247.41 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 247.50 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 252.85 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 252.85 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 249.91 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 249.91 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 250.46 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 251.92 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 251.92 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 245.70 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 245.70 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 255.54 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 255.54 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 248.80 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 251.25 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 251.25 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 245.69 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 256.85 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 256.85 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 250.07 samples/sec Train-accuracy=0.509531 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 250.07 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 250.38 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 248.64 samples/sec Train-accuracy=0.517500 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 248.64 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 245.16 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 245.16 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 244.04 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 244.04 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 245.73 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 245.73 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 255.41 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 255.41 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 251.66 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 251.66 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 257.55 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 257.55 samples/sec Train-top_k_accuracy_5=0.759531 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 254.25 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 254.25 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 252.42 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 250.60 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 253.26 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 253.26 samples/sec Train-top_k_accuracy_5=0.762266 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 253.93 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 249.36 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 249.36 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 244.81 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 244.81 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 245.55 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 245.55 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 254.99 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 256.87 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 256.87 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[44] Batch [4950] Speed: 247.25 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[44] Batch [4950] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[44] Batch [5000] Speed: 247.22 samples/sec Train-accuracy=0.525469 | |
| INFO:root:Epoch[44] Batch [5000] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.759531 | |
| INFO:root:Epoch[44] Resetting Data Iterator | |
| INFO:root:Epoch[44] Time cost=5107.191 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0045.params" | |
| INFO:root:Epoch[44] Validation-accuracy=0.582490 | |
| INFO:root:Epoch[44] Validation-top_k_accuracy_5=0.826052 | |
| INFO:root:Epoch[45] Batch [50] Speed: 247.23 samples/sec Train-accuracy=0.530547 | |
| INFO:root:Epoch[45] Batch [50] Speed: 247.23 samples/sec Train-top_k_accuracy_5=0.764844 | |
| INFO:root:Epoch[45] Batch [100] Speed: 245.88 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[45] Batch [100] Speed: 245.88 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[45] Batch [150] Speed: 243.95 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[45] Batch [150] Speed: 243.95 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[45] Batch [200] Speed: 250.15 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[45] Batch [200] Speed: 250.15 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[45] Batch [250] Speed: 245.23 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[45] Batch [250] Speed: 245.23 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[45] Batch [300] Speed: 250.43 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[45] Batch [300] Speed: 250.43 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[45] Batch [350] Speed: 247.17 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[45] Batch [350] Speed: 247.17 samples/sec Train-top_k_accuracy_5=0.759141 | |
| INFO:root:Epoch[45] Batch [400] Speed: 252.36 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[45] Batch [400] Speed: 252.36 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[45] Batch [450] Speed: 244.42 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[45] Batch [450] Speed: 244.42 samples/sec Train-top_k_accuracy_5=0.761563 | |
| INFO:root:Epoch[45] Batch [500] Speed: 246.19 samples/sec Train-accuracy=0.522500 | |
| INFO:root:Epoch[45] Batch [500] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[45] Batch [550] Speed: 254.75 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[45] Batch [550] Speed: 254.75 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[45] Batch [600] Speed: 246.77 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[45] Batch [600] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[45] Batch [650] Speed: 251.83 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[45] Batch [650] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[45] Batch [700] Speed: 253.54 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[45] Batch [700] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[45] Batch [750] Speed: 246.54 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[45] Batch [750] Speed: 246.54 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[45] Batch [800] Speed: 249.49 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[45] Batch [800] Speed: 249.49 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[45] Batch [850] Speed: 254.89 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[45] Batch [850] Speed: 254.89 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[45] Batch [900] Speed: 254.33 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[45] Batch [900] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[45] Batch [950] Speed: 250.53 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[45] Batch [950] Speed: 250.53 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 249.74 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 249.74 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 251.25 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 251.25 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 250.72 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 250.72 samples/sec Train-top_k_accuracy_5=0.761641 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 244.27 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 244.27 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 252.79 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 259.36 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 259.36 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 248.26 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 251.41 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 252.06 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 245.00 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 245.00 samples/sec Train-top_k_accuracy_5=0.756797 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 254.14 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 254.14 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 253.37 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 252.85 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 252.85 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 250.33 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 250.33 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 251.61 samples/sec Train-accuracy=0.506328 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 254.42 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 254.27 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 254.27 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 258.37 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 258.37 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 258.96 samples/sec Train-accuracy=0.521016 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 251.17 samples/sec Train-accuracy=0.517969 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 251.17 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 253.27 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 253.27 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 244.64 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 244.64 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 244.84 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 244.84 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 251.72 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 250.09 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 247.79 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 247.79 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 246.45 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 246.45 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 254.86 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 254.86 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 255.98 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 255.98 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 254.22 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 254.22 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 251.71 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 251.71 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 247.81 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 247.81 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 253.21 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 254.85 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 254.85 samples/sec Train-top_k_accuracy_5=0.758594 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 251.64 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 251.64 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 254.12 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 254.12 samples/sec Train-top_k_accuracy_5=0.757578 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 244.92 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 244.92 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 252.37 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 252.37 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 250.31 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 248.23 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 248.23 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 249.42 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 245.50 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 245.50 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 245.25 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 245.25 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 248.93 samples/sec Train-accuracy=0.519687 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 251.23 samples/sec Train-accuracy=0.522969 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.758594 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 246.53 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 246.53 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 248.62 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 248.62 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 243.48 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 243.48 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 248.74 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 248.74 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 249.03 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 249.69 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 249.69 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 245.98 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 245.98 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 247.59 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 247.59 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 247.11 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 247.11 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 249.20 samples/sec Train-accuracy=0.524141 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 249.20 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 244.99 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 244.99 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 246.76 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 246.76 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 251.35 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 251.35 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 256.59 samples/sec Train-accuracy=0.525937 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 256.48 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 256.48 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 250.46 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 250.46 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 256.53 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 256.53 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 250.71 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 250.71 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 245.62 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.760625 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 248.41 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 246.89 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 249.29 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 247.88 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 252.32 samples/sec Train-accuracy=0.521797 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 255.85 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 255.85 samples/sec Train-top_k_accuracy_5=0.759844 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 257.77 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 258.83 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 258.83 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 246.56 samples/sec Train-accuracy=0.522656 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 246.56 samples/sec Train-top_k_accuracy_5=0.760391 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 249.98 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 247.54 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 247.54 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 245.54 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 245.54 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 244.97 samples/sec Train-accuracy=0.519453 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 244.97 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 244.52 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 248.51 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[45] Batch [4950] Speed: 258.73 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[45] Batch [4950] Speed: 258.73 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[45] Batch [5000] Speed: 254.82 samples/sec Train-accuracy=0.523203 | |
| INFO:root:Epoch[45] Batch [5000] Speed: 254.82 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[45] Resetting Data Iterator | |
| INFO:root:Epoch[45] Time cost=5121.082 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0046.params" | |
| INFO:root:Epoch[45] Validation-accuracy=0.563217 | |
| INFO:root:Epoch[45] Validation-top_k_accuracy_5=0.811364 | |
| INFO:root:Epoch[46] Batch [50] Speed: 254.04 samples/sec Train-accuracy=0.525078 | |
| INFO:root:Epoch[46] Batch [50] Speed: 254.04 samples/sec Train-top_k_accuracy_5=0.760703 | |
| INFO:root:Epoch[46] Batch [100] Speed: 249.67 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[46] Batch [100] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[46] Batch [150] Speed: 253.51 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[46] Batch [150] Speed: 253.51 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[46] Batch [200] Speed: 251.95 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[46] Batch [200] Speed: 251.95 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[46] Batch [250] Speed: 254.05 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[46] Batch [250] Speed: 254.05 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[46] Batch [300] Speed: 247.88 samples/sec Train-accuracy=0.522344 | |
| INFO:root:Epoch[46] Batch [300] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.759609 | |
| INFO:root:Epoch[46] Batch [350] Speed: 246.23 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[46] Batch [350] Speed: 246.23 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[46] Batch [400] Speed: 246.49 samples/sec Train-accuracy=0.520391 | |
| INFO:root:Epoch[46] Batch [400] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.762266 | |
| INFO:root:Epoch[46] Batch [450] Speed: 246.51 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[46] Batch [450] Speed: 246.51 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[46] Batch [500] Speed: 257.45 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[46] Batch [500] Speed: 257.45 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[46] Batch [550] Speed: 257.66 samples/sec Train-accuracy=0.518437 | |
| INFO:root:Epoch[46] Batch [550] Speed: 257.66 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[46] Batch [600] Speed: 257.41 samples/sec Train-accuracy=0.509844 | |
| INFO:root:Epoch[46] Batch [600] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[46] Batch [650] Speed: 257.42 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[46] Batch [650] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[46] Batch [700] Speed: 253.71 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[46] Batch [700] Speed: 253.71 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[46] Batch [750] Speed: 246.30 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[46] Batch [750] Speed: 246.30 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[46] Batch [800] Speed: 245.48 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[46] Batch [800] Speed: 245.48 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[46] Batch [850] Speed: 256.33 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[46] Batch [850] Speed: 256.33 samples/sec Train-top_k_accuracy_5=0.749375 | |
| INFO:root:Epoch[46] Batch [900] Speed: 245.94 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[46] Batch [900] Speed: 245.94 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[46] Batch [950] Speed: 249.65 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[46] Batch [950] Speed: 249.65 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 245.24 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 245.24 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 254.34 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 254.34 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 257.36 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 257.36 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 251.06 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 251.06 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 256.39 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 256.39 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 246.13 samples/sec Train-accuracy=0.513516 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 246.13 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 253.27 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 253.27 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 251.83 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 249.42 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 248.46 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.761719 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 252.54 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 258.55 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 258.55 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 251.96 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 246.79 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 246.81 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 246.81 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 255.21 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 254.05 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 254.05 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 252.92 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 252.92 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 249.19 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 249.19 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 254.39 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 254.39 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 257.11 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 257.11 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 249.31 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 249.31 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 243.63 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 243.63 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 250.50 samples/sec Train-accuracy=0.524141 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.761406 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 250.61 samples/sec Train-accuracy=0.526406 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.763281 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 245.32 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 245.32 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 256.93 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 256.93 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 255.74 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 255.74 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 251.80 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 251.80 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 252.44 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 252.44 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 256.11 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 256.11 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 247.48 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 247.48 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 251.24 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 251.24 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 255.09 samples/sec Train-accuracy=0.525312 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 255.09 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 250.31 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 250.31 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 248.93 samples/sec Train-accuracy=0.522813 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 248.93 samples/sec Train-top_k_accuracy_5=0.762266 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 248.03 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 256.32 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 248.50 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.763437 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 245.83 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 245.83 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 249.55 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 249.55 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 252.74 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 252.74 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 244.42 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 244.42 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 245.81 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 245.81 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 248.97 samples/sec Train-accuracy=0.513906 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 246.12 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 246.12 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 253.88 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 252.40 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 249.59 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 249.59 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 254.26 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 249.23 samples/sec Train-accuracy=0.523438 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 249.23 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 251.65 samples/sec Train-accuracy=0.520312 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 254.21 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 245.07 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 245.07 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 254.89 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 254.89 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 258.59 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 258.59 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 250.93 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 250.93 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 252.46 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 246.57 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 246.57 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 247.45 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 248.88 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 248.88 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 252.89 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 252.89 samples/sec Train-top_k_accuracy_5=0.756484 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 251.72 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 251.18 samples/sec Train-accuracy=0.520391 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 247.55 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 249.45 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 253.48 samples/sec Train-accuracy=0.522891 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 253.48 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 256.06 samples/sec Train-accuracy=0.519297 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 249.27 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 249.27 samples/sec Train-top_k_accuracy_5=0.761484 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 255.09 samples/sec Train-accuracy=0.523281 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 255.09 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 252.32 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 251.70 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 245.30 samples/sec Train-accuracy=0.522031 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 245.30 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 247.80 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 247.80 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 257.24 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.757578 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 249.45 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 247.89 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 247.89 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 248.26 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 256.97 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 256.97 samples/sec Train-top_k_accuracy_5=0.751250 | |
| INFO:root:Epoch[46] Batch [4950] Speed: 250.28 samples/sec Train-accuracy=0.510469 | |
| INFO:root:Epoch[46] Batch [4950] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[46] Batch [5000] Speed: 259.14 samples/sec Train-accuracy=0.520234 | |
| INFO:root:Epoch[46] Batch [5000] Speed: 259.14 samples/sec Train-top_k_accuracy_5=0.760781 | |
| INFO:root:Epoch[46] Resetting Data Iterator | |
| INFO:root:Epoch[46] Time cost=5100.090 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0047.params" | |
| INFO:root:Epoch[46] Validation-accuracy=0.586017 | |
| INFO:root:Epoch[46] Validation-top_k_accuracy_5=0.827368 | |
| INFO:root:Epoch[47] Batch [50] Speed: 244.21 samples/sec Train-accuracy=0.522969 | |
| INFO:root:Epoch[47] Batch [50] Speed: 244.21 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[47] Batch [100] Speed: 247.49 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[47] Batch [100] Speed: 247.49 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[47] Batch [150] Speed: 247.99 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[47] Batch [150] Speed: 247.99 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[47] Batch [200] Speed: 259.72 samples/sec Train-accuracy=0.518437 | |
| INFO:root:Epoch[47] Batch [200] Speed: 259.72 samples/sec Train-top_k_accuracy_5=0.761953 | |
| INFO:root:Epoch[47] Batch [250] Speed: 255.88 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[47] Batch [250] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[47] Batch [300] Speed: 252.26 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[47] Batch [300] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[47] Batch [350] Speed: 246.11 samples/sec Train-accuracy=0.525781 | |
| INFO:root:Epoch[47] Batch [350] Speed: 246.11 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[47] Batch [400] Speed: 251.15 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[47] Batch [400] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[47] Batch [450] Speed: 254.11 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[47] Batch [450] Speed: 254.11 samples/sec Train-top_k_accuracy_5=0.760391 | |
| INFO:root:Epoch[47] Batch [500] Speed: 246.68 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[47] Batch [500] Speed: 246.68 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[47] Batch [550] Speed: 254.10 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[47] Batch [550] Speed: 254.10 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[47] Batch [600] Speed: 258.44 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[47] Batch [600] Speed: 258.44 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[47] Batch [650] Speed: 249.66 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[47] Batch [650] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[47] Batch [700] Speed: 254.57 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[47] Batch [700] Speed: 254.57 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[47] Batch [750] Speed: 248.63 samples/sec Train-accuracy=0.520625 | |
| INFO:root:Epoch[47] Batch [750] Speed: 248.63 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[47] Batch [800] Speed: 251.90 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[47] Batch [800] Speed: 251.90 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[47] Batch [850] Speed: 251.43 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[47] Batch [850] Speed: 251.43 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[47] Batch [900] Speed: 245.99 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[47] Batch [900] Speed: 245.99 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[47] Batch [950] Speed: 250.44 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[47] Batch [950] Speed: 250.44 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 255.98 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 255.98 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 245.58 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 245.58 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 251.02 samples/sec Train-accuracy=0.523984 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.761563 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 244.90 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 244.90 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 248.63 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 248.63 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 249.29 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 249.29 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 247.35 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 255.43 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 255.43 samples/sec Train-top_k_accuracy_5=0.760859 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 250.13 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 250.13 samples/sec Train-top_k_accuracy_5=0.753984 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 245.23 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 245.23 samples/sec Train-top_k_accuracy_5=0.759609 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 250.04 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 250.04 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 249.99 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 249.99 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 246.11 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 246.11 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 248.11 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 248.11 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 246.41 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 246.41 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 245.42 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 245.42 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 246.79 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 246.65 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 246.65 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 259.63 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 259.63 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 255.37 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.761328 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 251.85 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 251.85 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 245.60 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 250.28 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 248.47 samples/sec Train-accuracy=0.531328 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 248.47 samples/sec Train-top_k_accuracy_5=0.767344 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 252.83 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 252.83 samples/sec Train-top_k_accuracy_5=0.756797 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 247.70 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 247.70 samples/sec Train-top_k_accuracy_5=0.762969 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 251.64 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 251.64 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 256.50 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 256.50 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 250.60 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 250.60 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 250.28 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 250.30 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.750313 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 259.38 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 259.38 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 256.21 samples/sec Train-accuracy=0.510625 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 256.21 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 256.92 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 256.92 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 247.22 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 247.95 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 247.95 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 246.34 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 246.34 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 245.94 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 245.94 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 248.91 samples/sec Train-accuracy=0.521797 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 248.91 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 256.84 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 248.17 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 248.17 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 247.88 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 255.22 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 255.22 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 252.90 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 252.90 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 249.98 samples/sec Train-accuracy=0.518672 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 249.98 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 249.92 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 245.39 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 245.39 samples/sec Train-top_k_accuracy_5=0.762813 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 247.64 samples/sec Train-accuracy=0.510703 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 246.13 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 246.13 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 246.15 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 246.15 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 251.71 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 251.71 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 253.09 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 253.09 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 256.13 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 256.13 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 248.32 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.759609 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 248.36 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 248.36 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 246.90 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 246.90 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 255.44 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 255.44 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 252.67 samples/sec Train-accuracy=0.520469 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 252.67 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 254.21 samples/sec Train-accuracy=0.527266 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.765469 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 253.91 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 253.91 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 254.08 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 245.31 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 245.31 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 249.45 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 245.43 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 245.43 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 250.53 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 250.53 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 247.07 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 250.21 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 248.09 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 248.09 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 248.01 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 257.05 samples/sec Train-accuracy=0.521484 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 257.05 samples/sec Train-top_k_accuracy_5=0.762109 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 256.70 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 256.70 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 251.14 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 251.14 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 247.32 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 251.50 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 249.62 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 249.62 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 244.36 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 244.36 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 250.13 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 250.13 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 244.59 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 244.59 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 255.66 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 255.66 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[47] Batch [4950] Speed: 254.18 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[47] Batch [4950] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[47] Batch [5000] Speed: 255.70 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[47] Batch [5000] Speed: 255.70 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[47] Resetting Data Iterator | |
| INFO:root:Epoch[47] Time cost=5117.000 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0048.params" | |
| INFO:root:Epoch[47] Validation-accuracy=0.589804 | |
| INFO:root:Epoch[47] Validation-top_k_accuracy_5=0.831134 | |
| INFO:root:Epoch[48] Batch [50] Speed: 247.96 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[48] Batch [50] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[48] Batch [100] Speed: 253.31 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[48] Batch [100] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[48] Batch [150] Speed: 253.58 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[48] Batch [150] Speed: 253.58 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[48] Batch [200] Speed: 258.53 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[48] Batch [200] Speed: 258.53 samples/sec Train-top_k_accuracy_5=0.752109 | |
| INFO:root:Epoch[48] Batch [250] Speed: 255.65 samples/sec Train-accuracy=0.514297 | |
| INFO:root:Epoch[48] Batch [250] Speed: 255.65 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[48] Batch [300] Speed: 251.52 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[48] Batch [300] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[48] Batch [350] Speed: 245.64 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[48] Batch [350] Speed: 245.64 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[48] Batch [400] Speed: 256.84 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[48] Batch [400] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[48] Batch [450] Speed: 254.21 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[48] Batch [450] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.755156 | |
| INFO:root:Epoch[48] Batch [500] Speed: 246.17 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[48] Batch [500] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[48] Batch [550] Speed: 244.52 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[48] Batch [550] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[48] Batch [600] Speed: 249.66 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[48] Batch [600] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.748750 | |
| INFO:root:Epoch[48] Batch [650] Speed: 252.87 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[48] Batch [650] Speed: 252.87 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[48] Batch [700] Speed: 252.30 samples/sec Train-accuracy=0.522422 | |
| INFO:root:Epoch[48] Batch [700] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[48] Batch [750] Speed: 246.84 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[48] Batch [750] Speed: 246.84 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[48] Batch [800] Speed: 251.66 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[48] Batch [800] Speed: 251.66 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[48] Batch [850] Speed: 251.15 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[48] Batch [850] Speed: 251.15 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[48] Batch [900] Speed: 250.98 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[48] Batch [900] Speed: 250.98 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[48] Batch [950] Speed: 250.77 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[48] Batch [950] Speed: 250.77 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 249.76 samples/sec Train-accuracy=0.512422 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 249.76 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 247.91 samples/sec Train-accuracy=0.521484 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 247.91 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 253.29 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 253.29 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 245.79 samples/sec Train-accuracy=0.519297 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 245.79 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 248.01 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 248.01 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 248.89 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 250.24 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 250.24 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 247.09 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 247.09 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 247.36 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 251.96 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 247.21 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 247.21 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 248.14 samples/sec Train-accuracy=0.523828 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 248.14 samples/sec Train-top_k_accuracy_5=0.760469 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 246.60 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 246.60 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 252.12 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 252.12 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 248.61 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 248.61 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 246.77 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 246.77 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 248.44 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 248.44 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 249.45 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 249.45 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 244.63 samples/sec Train-accuracy=0.511016 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 244.63 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 248.30 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 248.30 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 251.36 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 251.36 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 247.00 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 253.18 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 251.65 samples/sec Train-accuracy=0.522969 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.764062 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 250.90 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 250.90 samples/sec Train-top_k_accuracy_5=0.763125 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 252.08 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 251.03 samples/sec Train-accuracy=0.514531 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 251.03 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 253.26 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 253.26 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 245.69 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 251.55 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 251.55 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 252.83 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 252.83 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 247.64 samples/sec Train-accuracy=0.519297 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 258.60 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 258.60 samples/sec Train-top_k_accuracy_5=0.754453 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 247.86 samples/sec Train-accuracy=0.524531 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 247.86 samples/sec Train-top_k_accuracy_5=0.760391 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 252.59 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 252.59 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 250.50 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 250.72 samples/sec Train-accuracy=0.516172 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 250.72 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 244.20 samples/sec Train-accuracy=0.519453 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 244.20 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 258.24 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 258.24 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 253.96 samples/sec Train-accuracy=0.523672 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 248.86 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 248.86 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 251.28 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 251.28 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 248.55 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 248.55 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 246.49 samples/sec Train-accuracy=0.510234 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 246.49 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 251.31 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 251.31 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 244.88 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 244.88 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 245.89 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 245.89 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 252.09 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 252.09 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 245.20 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.763906 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 249.83 samples/sec Train-accuracy=0.514062 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 249.83 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 252.08 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.758984 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 249.65 samples/sec Train-accuracy=0.524219 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 249.65 samples/sec Train-top_k_accuracy_5=0.761094 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 254.26 samples/sec Train-accuracy=0.518828 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 253.79 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 253.79 samples/sec Train-top_k_accuracy_5=0.761719 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 250.66 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 250.66 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 250.00 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 252.15 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 252.15 samples/sec Train-top_k_accuracy_5=0.754219 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 254.55 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 254.55 samples/sec Train-top_k_accuracy_5=0.751406 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 249.52 samples/sec Train-accuracy=0.527734 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 249.52 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 249.44 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 253.28 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 253.28 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 256.14 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 256.14 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 253.66 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 244.00 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 244.00 samples/sec Train-top_k_accuracy_5=0.757031 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 251.16 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 251.16 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 253.86 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 256.51 samples/sec Train-accuracy=0.523438 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 256.20 samples/sec Train-accuracy=0.522813 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 256.20 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 257.96 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 248.06 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 248.06 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 245.30 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 245.30 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 253.40 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 253.40 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 251.39 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 251.39 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 252.33 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 252.33 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 246.44 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 246.44 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 253.26 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 253.26 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 254.27 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 254.27 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 245.62 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 245.62 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 246.47 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 246.47 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[48] Batch [4950] Speed: 248.67 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[48] Batch [4950] Speed: 248.67 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[48] Batch [5000] Speed: 253.43 samples/sec Train-accuracy=0.519766 | |
| INFO:root:Epoch[48] Batch [5000] Speed: 253.43 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[48] Resetting Data Iterator | |
| INFO:root:Epoch[48] Time cost=5114.853 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0049.params" | |
| INFO:root:Epoch[48] Validation-accuracy=0.566685 | |
| INFO:root:Epoch[48] Validation-top_k_accuracy_5=0.813377 | |
| INFO:root:Epoch[49] Batch [50] Speed: 249.47 samples/sec Train-accuracy=0.519453 | |
| INFO:root:Epoch[49] Batch [50] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[49] Batch [100] Speed: 249.99 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[49] Batch [100] Speed: 249.99 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[49] Batch [150] Speed: 250.00 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[49] Batch [150] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[49] Batch [200] Speed: 251.98 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[49] Batch [200] Speed: 251.98 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[49] Batch [250] Speed: 248.79 samples/sec Train-accuracy=0.510078 | |
| INFO:root:Epoch[49] Batch [250] Speed: 248.79 samples/sec Train-top_k_accuracy_5=0.754297 | |
| INFO:root:Epoch[49] Batch [300] Speed: 245.60 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[49] Batch [300] Speed: 245.60 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[49] Batch [350] Speed: 252.53 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[49] Batch [350] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[49] Batch [400] Speed: 246.96 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[49] Batch [400] Speed: 246.96 samples/sec Train-top_k_accuracy_5=0.762031 | |
| INFO:root:Epoch[49] Batch [450] Speed: 257.08 samples/sec Train-accuracy=0.518281 | |
| INFO:root:Epoch[49] Batch [450] Speed: 257.08 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[49] Batch [500] Speed: 251.69 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[49] Batch [500] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[49] Batch [550] Speed: 258.97 samples/sec Train-accuracy=0.519687 | |
| INFO:root:Epoch[49] Batch [550] Speed: 258.97 samples/sec Train-top_k_accuracy_5=0.756328 | |
| INFO:root:Epoch[49] Batch [600] Speed: 252.57 samples/sec Train-accuracy=0.515391 | |
| INFO:root:Epoch[49] Batch [600] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[49] Batch [650] Speed: 254.52 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[49] Batch [650] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[49] Batch [700] Speed: 247.92 samples/sec Train-accuracy=0.511797 | |
| INFO:root:Epoch[49] Batch [700] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[49] Batch [750] Speed: 254.48 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[49] Batch [750] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.761328 | |
| INFO:root:Epoch[49] Batch [800] Speed: 249.47 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[49] Batch [800] Speed: 249.47 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[49] Batch [850] Speed: 253.86 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[49] Batch [850] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[49] Batch [900] Speed: 249.71 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[49] Batch [900] Speed: 249.71 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[49] Batch [950] Speed: 252.57 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[49] Batch [950] Speed: 252.57 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 250.89 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 250.89 samples/sec Train-top_k_accuracy_5=0.758906 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 250.77 samples/sec Train-accuracy=0.526641 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 250.77 samples/sec Train-top_k_accuracy_5=0.760625 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 246.06 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 246.06 samples/sec Train-top_k_accuracy_5=0.763203 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 244.84 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 244.84 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 244.52 samples/sec Train-accuracy=0.519531 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.756172 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 251.09 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 251.09 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 246.60 samples/sec Train-accuracy=0.521797 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 246.60 samples/sec Train-top_k_accuracy_5=0.761484 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 257.46 samples/sec Train-accuracy=0.519687 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 257.46 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 259.21 samples/sec Train-accuracy=0.511953 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 259.21 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 254.01 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 254.01 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 250.06 samples/sec Train-accuracy=0.521172 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 250.06 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 251.13 samples/sec Train-accuracy=0.526250 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 251.13 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 251.89 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 251.89 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 252.17 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 255.08 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 255.08 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 251.23 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 252.60 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 252.60 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 245.34 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 245.34 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 252.71 samples/sec Train-accuracy=0.524062 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 255.36 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 255.36 samples/sec Train-top_k_accuracy_5=0.762422 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 256.47 samples/sec Train-accuracy=0.512500 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 256.47 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 259.48 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 252.46 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 253.93 samples/sec Train-accuracy=0.528281 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.763359 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 255.87 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 255.87 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 249.36 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 249.36 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 256.30 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 256.30 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 254.71 samples/sec Train-accuracy=0.521016 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 254.71 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 247.16 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 247.16 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 252.97 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 252.97 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 254.42 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 254.42 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 255.80 samples/sec Train-accuracy=0.510312 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 255.80 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 254.26 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 250.06 samples/sec Train-accuracy=0.519062 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 250.06 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 248.06 samples/sec Train-accuracy=0.511250 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 248.06 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 255.93 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 255.93 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 250.01 samples/sec Train-accuracy=0.513672 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 249.30 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 249.30 samples/sec Train-top_k_accuracy_5=0.757109 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 249.94 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 253.23 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 253.23 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 248.57 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 245.61 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 245.61 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 246.37 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 246.37 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 248.75 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 248.75 samples/sec Train-top_k_accuracy_5=0.756953 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 247.68 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 247.68 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 247.50 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 249.71 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 249.71 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 253.52 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.756406 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 255.84 samples/sec Train-accuracy=0.514453 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 255.84 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 255.55 samples/sec Train-accuracy=0.510859 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 255.55 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 244.83 samples/sec Train-accuracy=0.524297 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 244.83 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 248.71 samples/sec Train-accuracy=0.516797 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 248.71 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 252.77 samples/sec Train-accuracy=0.522500 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.759609 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 247.73 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 247.73 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 246.02 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 246.02 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 247.25 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 247.25 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 251.10 samples/sec Train-accuracy=0.512266 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 248.02 samples/sec Train-accuracy=0.528281 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 248.02 samples/sec Train-top_k_accuracy_5=0.763359 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 256.51 samples/sec Train-accuracy=0.521719 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 244.98 samples/sec Train-accuracy=0.512734 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 244.98 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 244.11 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 244.11 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 245.73 samples/sec Train-accuracy=0.529141 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 245.73 samples/sec Train-top_k_accuracy_5=0.762734 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 250.35 samples/sec Train-accuracy=0.516406 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.763516 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 246.63 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.761016 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 256.12 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 256.12 samples/sec Train-top_k_accuracy_5=0.754922 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 246.48 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 246.48 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 249.95 samples/sec Train-accuracy=0.523203 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 249.95 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 252.71 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 249.09 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 249.09 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 250.96 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 247.07 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 247.07 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 248.22 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 248.22 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 258.53 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 258.53 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 251.49 samples/sec Train-accuracy=0.511406 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 247.87 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 247.87 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 251.60 samples/sec Train-accuracy=0.517734 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 251.60 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 251.95 samples/sec Train-accuracy=0.522578 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 251.95 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 251.85 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 251.85 samples/sec Train-top_k_accuracy_5=0.760781 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 254.35 samples/sec Train-accuracy=0.512969 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 254.35 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[49] Batch [4950] Speed: 255.55 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[49] Batch [4950] Speed: 255.55 samples/sec Train-top_k_accuracy_5=0.752266 | |
| INFO:root:Epoch[49] Batch [5000] Speed: 249.51 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[49] Batch [5000] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[49] Resetting Data Iterator | |
| INFO:root:Epoch[49] Time cost=5104.424 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0050.params" | |
| INFO:root:Epoch[49] Validation-accuracy=0.565390 | |
| INFO:root:Epoch[49] Validation-top_k_accuracy_5=0.814055 | |
| INFO:root:Epoch[50] Batch [50] Speed: 249.85 samples/sec Train-accuracy=0.525391 | |
| INFO:root:Epoch[50] Batch [50] Speed: 249.85 samples/sec Train-top_k_accuracy_5=0.760391 | |
| INFO:root:Epoch[50] Batch [100] Speed: 254.95 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[50] Batch [100] Speed: 254.95 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[50] Batch [150] Speed: 246.08 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[50] Batch [150] Speed: 246.08 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[50] Batch [200] Speed: 247.50 samples/sec Train-accuracy=0.517188 | |
| INFO:root:Epoch[50] Batch [200] Speed: 247.50 samples/sec Train-top_k_accuracy_5=0.760625 | |
| INFO:root:Epoch[50] Batch [250] Speed: 253.31 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[50] Batch [250] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[50] Batch [300] Speed: 250.09 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[50] Batch [300] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[50] Batch [350] Speed: 244.24 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[50] Batch [350] Speed: 244.24 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[50] Batch [400] Speed: 248.97 samples/sec Train-accuracy=0.514922 | |
| INFO:root:Epoch[50] Batch [400] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.758828 | |
| INFO:root:Epoch[50] Batch [450] Speed: 248.48 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[50] Batch [450] Speed: 248.48 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[50] Batch [500] Speed: 249.96 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[50] Batch [500] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[50] Batch [550] Speed: 251.11 samples/sec Train-accuracy=0.515469 | |
| INFO:root:Epoch[50] Batch [550] Speed: 251.11 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[50] Batch [600] Speed: 252.67 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[50] Batch [600] Speed: 252.67 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[50] Batch [650] Speed: 249.40 samples/sec Train-accuracy=0.516094 | |
| INFO:root:Epoch[50] Batch [650] Speed: 249.40 samples/sec Train-top_k_accuracy_5=0.759453 | |
| INFO:root:Epoch[50] Batch [700] Speed: 245.61 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[50] Batch [700] Speed: 245.61 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[50] Batch [750] Speed: 252.44 samples/sec Train-accuracy=0.520938 | |
| INFO:root:Epoch[50] Batch [750] Speed: 252.44 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[50] Batch [800] Speed: 258.06 samples/sec Train-accuracy=0.506953 | |
| INFO:root:Epoch[50] Batch [800] Speed: 258.06 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[50] Batch [850] Speed: 257.59 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[50] Batch [850] Speed: 257.59 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[50] Batch [900] Speed: 246.89 samples/sec Train-accuracy=0.523359 | |
| INFO:root:Epoch[50] Batch [900] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[50] Batch [950] Speed: 247.00 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[50] Batch [950] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.756875 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 252.80 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 255.82 samples/sec Train-accuracy=0.526797 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 255.82 samples/sec Train-top_k_accuracy_5=0.763125 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 254.55 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 254.55 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 252.71 samples/sec Train-accuracy=0.514219 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 255.78 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 255.78 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 246.21 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 246.21 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 254.54 samples/sec Train-accuracy=0.515078 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.751875 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 247.61 samples/sec Train-accuracy=0.516016 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 247.61 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 248.60 samples/sec Train-accuracy=0.520625 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 248.60 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 247.64 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.762266 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 251.80 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 251.80 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 255.45 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.759844 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 259.02 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 259.02 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 250.57 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 252.58 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 252.58 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 248.68 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 248.68 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 245.48 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 245.48 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 247.31 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 247.31 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 250.57 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 250.57 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 247.15 samples/sec Train-accuracy=0.518437 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 247.15 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 251.86 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 251.86 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 255.37 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 254.97 samples/sec Train-accuracy=0.520391 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 254.97 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 246.95 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 246.95 samples/sec Train-top_k_accuracy_5=0.764531 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 249.86 samples/sec Train-accuracy=0.517891 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 249.86 samples/sec Train-top_k_accuracy_5=0.763359 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 258.22 samples/sec Train-accuracy=0.524687 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 258.22 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 251.38 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 254.95 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 254.95 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 254.27 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 254.27 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 257.51 samples/sec Train-accuracy=0.511719 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 257.51 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 258.72 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 258.72 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 258.30 samples/sec Train-accuracy=0.510156 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 258.30 samples/sec Train-top_k_accuracy_5=0.754062 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 256.77 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 255.52 samples/sec Train-accuracy=0.522344 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 255.52 samples/sec Train-top_k_accuracy_5=0.760078 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 254.87 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.760781 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 251.89 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 251.89 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 254.00 samples/sec Train-accuracy=0.513750 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.753672 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 248.70 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 248.70 samples/sec Train-top_k_accuracy_5=0.761016 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 245.71 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 245.71 samples/sec Train-top_k_accuracy_5=0.764297 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 246.19 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 246.19 samples/sec Train-top_k_accuracy_5=0.759766 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 254.29 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 254.29 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 252.30 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 252.38 samples/sec Train-accuracy=0.519297 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 251.65 samples/sec Train-accuracy=0.513125 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 256.40 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 256.40 samples/sec Train-top_k_accuracy_5=0.760703 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 257.06 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 257.06 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 258.21 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 258.21 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 254.15 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 254.15 samples/sec Train-top_k_accuracy_5=0.752578 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 256.27 samples/sec Train-accuracy=0.521484 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 256.27 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 246.79 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 246.79 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 251.07 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 251.07 samples/sec Train-top_k_accuracy_5=0.759297 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 249.97 samples/sec Train-accuracy=0.524844 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 249.97 samples/sec Train-top_k_accuracy_5=0.758672 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 248.61 samples/sec Train-accuracy=0.521953 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 248.61 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 248.11 samples/sec Train-accuracy=0.518906 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 248.11 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 254.36 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.751953 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 251.41 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 249.56 samples/sec Train-accuracy=0.521016 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 247.96 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 253.15 samples/sec Train-accuracy=0.526484 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.761484 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 253.66 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 253.66 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 252.63 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.754141 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 244.96 samples/sec Train-accuracy=0.520078 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 244.96 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 253.33 samples/sec Train-accuracy=0.519375 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 253.33 samples/sec Train-top_k_accuracy_5=0.758750 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 247.00 samples/sec Train-accuracy=0.521875 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 251.04 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.755391 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 247.66 samples/sec Train-accuracy=0.517031 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 247.66 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 251.35 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 251.35 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 246.16 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 248.14 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 248.14 samples/sec Train-top_k_accuracy_5=0.756250 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 258.84 samples/sec Train-accuracy=0.517109 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 258.84 samples/sec Train-top_k_accuracy_5=0.751719 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 254.86 samples/sec Train-accuracy=0.513437 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 254.86 samples/sec Train-top_k_accuracy_5=0.757344 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 251.82 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 247.92 samples/sec Train-accuracy=0.521641 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 253.27 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 253.27 samples/sec Train-top_k_accuracy_5=0.752344 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 244.58 samples/sec Train-accuracy=0.519219 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 244.58 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 249.25 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.748516 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 258.40 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 258.40 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 255.24 samples/sec Train-accuracy=0.518203 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 255.24 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 257.98 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 257.98 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[50] Batch [4950] Speed: 252.29 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[50] Batch [4950] Speed: 252.29 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[50] Batch [5000] Speed: 257.89 samples/sec Train-accuracy=0.517656 | |
| INFO:root:Epoch[50] Batch [5000] Speed: 257.89 samples/sec Train-top_k_accuracy_5=0.756641 | |
| INFO:root:Epoch[50] Resetting Data Iterator | |
| INFO:root:Epoch[50] Time cost=5089.626 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0051.params" | |
| INFO:root:Epoch[50] Validation-accuracy=0.586077 | |
| INFO:root:Epoch[50] Validation-top_k_accuracy_5=0.828663 | |
| INFO:root:Epoch[51] Batch [50] Speed: 245.38 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[51] Batch [50] Speed: 245.38 samples/sec Train-top_k_accuracy_5=0.762656 | |
| INFO:root:Epoch[51] Batch [100] Speed: 250.75 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[51] Batch [100] Speed: 250.75 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[51] Batch [150] Speed: 250.00 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[51] Batch [150] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[51] Batch [200] Speed: 250.94 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[51] Batch [200] Speed: 250.94 samples/sec Train-top_k_accuracy_5=0.756797 | |
| INFO:root:Epoch[51] Batch [250] Speed: 246.62 samples/sec Train-accuracy=0.510781 | |
| INFO:root:Epoch[51] Batch [250] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[51] Batch [300] Speed: 246.63 samples/sec Train-accuracy=0.522500 | |
| INFO:root:Epoch[51] Batch [300] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.759141 | |
| INFO:root:Epoch[51] Batch [350] Speed: 250.73 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[51] Batch [350] Speed: 250.73 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[51] Batch [400] Speed: 255.39 samples/sec Train-accuracy=0.523125 | |
| INFO:root:Epoch[51] Batch [400] Speed: 255.39 samples/sec Train-top_k_accuracy_5=0.761719 | |
| INFO:root:Epoch[51] Batch [450] Speed: 254.83 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[51] Batch [450] Speed: 254.83 samples/sec Train-top_k_accuracy_5=0.757422 | |
| INFO:root:Epoch[51] Batch [500] Speed: 253.89 samples/sec Train-accuracy=0.516484 | |
| INFO:root:Epoch[51] Batch [500] Speed: 253.89 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[51] Batch [550] Speed: 255.91 samples/sec Train-accuracy=0.516875 | |
| INFO:root:Epoch[51] Batch [550] Speed: 255.91 samples/sec Train-top_k_accuracy_5=0.757656 | |
| INFO:root:Epoch[51] Batch [600] Speed: 253.61 samples/sec Train-accuracy=0.511328 | |
| INFO:root:Epoch[51] Batch [600] Speed: 253.61 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[51] Batch [650] Speed: 246.82 samples/sec Train-accuracy=0.512188 | |
| INFO:root:Epoch[51] Batch [650] Speed: 246.82 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[51] Batch [700] Speed: 248.34 samples/sec Train-accuracy=0.511563 | |
| INFO:root:Epoch[51] Batch [700] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[51] Batch [750] Speed: 243.83 samples/sec Train-accuracy=0.518984 | |
| INFO:root:Epoch[51] Batch [750] Speed: 243.83 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[51] Batch [800] Speed: 248.85 samples/sec Train-accuracy=0.515312 | |
| INFO:root:Epoch[51] Batch [800] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[51] Batch [850] Speed: 245.14 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[51] Batch [850] Speed: 245.14 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[51] Batch [900] Speed: 253.00 samples/sec Train-accuracy=0.520469 | |
| INFO:root:Epoch[51] Batch [900] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[51] Batch [950] Speed: 245.99 samples/sec Train-accuracy=0.521328 | |
| INFO:root:Epoch[51] Batch [950] Speed: 245.99 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 247.53 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 247.53 samples/sec Train-top_k_accuracy_5=0.749531 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 247.49 samples/sec Train-accuracy=0.521406 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 247.49 samples/sec Train-top_k_accuracy_5=0.754766 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 247.75 samples/sec Train-accuracy=0.529375 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 247.75 samples/sec Train-top_k_accuracy_5=0.762031 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 248.31 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 248.31 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 256.65 samples/sec Train-accuracy=0.522578 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 256.65 samples/sec Train-top_k_accuracy_5=0.761797 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 253.72 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 253.72 samples/sec Train-top_k_accuracy_5=0.755938 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 250.44 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 250.44 samples/sec Train-top_k_accuracy_5=0.761719 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 252.00 samples/sec Train-accuracy=0.512891 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 252.00 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 255.53 samples/sec Train-accuracy=0.519609 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 255.53 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 248.11 samples/sec Train-accuracy=0.512109 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 248.11 samples/sec Train-top_k_accuracy_5=0.757812 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 247.97 samples/sec Train-accuracy=0.517266 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 247.97 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 248.76 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 248.76 samples/sec Train-top_k_accuracy_5=0.759219 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 249.76 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 249.76 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 244.01 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 244.01 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 255.44 samples/sec Train-accuracy=0.509219 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 255.44 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 258.30 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 258.30 samples/sec Train-top_k_accuracy_5=0.761797 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 250.86 samples/sec Train-accuracy=0.513594 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 250.86 samples/sec Train-top_k_accuracy_5=0.753437 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 249.56 samples/sec Train-accuracy=0.525234 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.761641 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 252.80 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 246.41 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 246.41 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 253.03 samples/sec Train-accuracy=0.516250 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 253.03 samples/sec Train-top_k_accuracy_5=0.751797 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 247.13 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 247.13 samples/sec Train-top_k_accuracy_5=0.757969 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 246.40 samples/sec Train-accuracy=0.530547 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 246.40 samples/sec Train-top_k_accuracy_5=0.764219 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 243.94 samples/sec Train-accuracy=0.527109 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 243.94 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 247.32 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 247.32 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 248.32 samples/sec Train-accuracy=0.517578 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 253.60 samples/sec Train-accuracy=0.522266 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 253.60 samples/sec Train-top_k_accuracy_5=0.756797 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 254.87 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.759922 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 253.65 samples/sec Train-accuracy=0.523594 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.755859 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 254.30 samples/sec Train-accuracy=0.513359 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 254.30 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 253.13 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 253.13 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 247.33 samples/sec Train-accuracy=0.520781 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 247.33 samples/sec Train-top_k_accuracy_5=0.762422 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 251.42 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.758203 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 253.00 samples/sec Train-accuracy=0.521563 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 245.88 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 245.88 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 251.72 samples/sec Train-accuracy=0.521250 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.760156 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 244.88 samples/sec Train-accuracy=0.517813 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 244.88 samples/sec Train-top_k_accuracy_5=0.753828 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 250.32 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 250.32 samples/sec Train-top_k_accuracy_5=0.752656 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 244.47 samples/sec Train-accuracy=0.510547 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 244.47 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 256.26 samples/sec Train-accuracy=0.523125 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 251.65 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.757266 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 250.09 samples/sec Train-accuracy=0.524375 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 248.70 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 248.70 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 245.75 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 245.75 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 250.64 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.759062 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 246.41 samples/sec Train-accuracy=0.515938 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 246.41 samples/sec Train-top_k_accuracy_5=0.754844 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 253.25 samples/sec Train-accuracy=0.519766 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 253.25 samples/sec Train-top_k_accuracy_5=0.759531 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 247.38 samples/sec Train-accuracy=0.518281 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 247.38 samples/sec Train-top_k_accuracy_5=0.755469 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 251.77 samples/sec Train-accuracy=0.520312 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 251.77 samples/sec Train-top_k_accuracy_5=0.759687 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 253.90 samples/sec Train-accuracy=0.516953 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 253.90 samples/sec Train-top_k_accuracy_5=0.754375 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 244.51 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 244.51 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 252.64 samples/sec Train-accuracy=0.520469 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 252.64 samples/sec Train-top_k_accuracy_5=0.758594 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 255.33 samples/sec Train-accuracy=0.522813 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 255.33 samples/sec Train-top_k_accuracy_5=0.762969 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 248.13 samples/sec Train-accuracy=0.526953 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.764141 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 248.89 samples/sec Train-accuracy=0.520703 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 255.72 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 255.72 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 251.44 samples/sec Train-accuracy=0.514687 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 243.09 samples/sec Train-accuracy=0.522422 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 243.09 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 247.22 samples/sec Train-accuracy=0.522422 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 247.22 samples/sec Train-top_k_accuracy_5=0.763125 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 251.53 samples/sec Train-accuracy=0.518750 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 251.53 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 248.34 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 250.28 samples/sec Train-accuracy=0.528281 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.764062 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 253.92 samples/sec Train-accuracy=0.518359 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 251.14 samples/sec Train-accuracy=0.513828 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 251.14 samples/sec Train-top_k_accuracy_5=0.762813 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 248.58 samples/sec Train-accuracy=0.512578 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 248.58 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 248.29 samples/sec Train-accuracy=0.519844 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 248.29 samples/sec Train-top_k_accuracy_5=0.757734 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 252.09 samples/sec Train-accuracy=0.520547 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 252.09 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 257.65 samples/sec Train-accuracy=0.508281 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 251.82 samples/sec Train-accuracy=0.516563 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.751484 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 257.65 samples/sec Train-accuracy=0.521094 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.757891 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 250.01 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 250.01 samples/sec Train-top_k_accuracy_5=0.755703 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 245.09 samples/sec Train-accuracy=0.514766 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 245.09 samples/sec Train-top_k_accuracy_5=0.758516 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 249.71 samples/sec Train-accuracy=0.523750 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 249.71 samples/sec Train-top_k_accuracy_5=0.766172 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 247.70 samples/sec Train-accuracy=0.512813 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 247.70 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 249.03 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.753594 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 250.52 samples/sec Train-accuracy=0.512656 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 250.52 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 256.42 samples/sec Train-accuracy=0.524844 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 256.42 samples/sec Train-top_k_accuracy_5=0.760938 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 247.55 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.758047 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 247.98 samples/sec Train-accuracy=0.519453 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 247.98 samples/sec Train-top_k_accuracy_5=0.758437 | |
| INFO:root:Epoch[51] Batch [4950] Speed: 250.87 samples/sec Train-accuracy=0.520938 | |
| INFO:root:Epoch[51] Batch [4950] Speed: 250.87 samples/sec Train-top_k_accuracy_5=0.758281 | |
| INFO:root:Epoch[51] Batch [5000] Speed: 247.02 samples/sec Train-accuracy=0.517344 | |
| INFO:root:Epoch[51] Batch [5000] Speed: 247.02 samples/sec Train-top_k_accuracy_5=0.760469 | |
| INFO:root:Epoch[51] Resetting Data Iterator | |
| INFO:root:Epoch[51] Time cost=5122.487 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-101-0-0052.params" | |
| INFO:root:Epoch[51] Validation-accuracy=0.568917 | |
| INFO:root:Epoch[51] Validation-top_k_accuracy_5=0.813417 | |
| INFO:root:Epoch[52] Batch [50] Speed: 247.12 samples/sec Train-accuracy=0.515625 | |
| INFO:root:Epoch[52] Batch [50] Speed: 247.12 samples/sec Train-top_k_accuracy_5=0.759375 | |
| INFO:root:Epoch[52] Batch [100] Speed: 244.51 samples/sec Train-accuracy=0.521875 | |
| INFO:root:Epoch[52] Batch [100] Speed: 244.51 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[52] Batch [150] Speed: 251.97 samples/sec Train-accuracy=0.518047 | |
| INFO:root:Epoch[52] Batch [150] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[52] Batch [200] Speed: 251.27 samples/sec Train-accuracy=0.515703 | |
| INFO:root:Epoch[52] Batch [200] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[52] Batch [250] Speed: 256.76 samples/sec Train-accuracy=0.519922 | |
| INFO:root:Epoch[52] Batch [250] Speed: 256.76 samples/sec Train-top_k_accuracy_5=0.755625 | |
| INFO:root:Epoch[52] Batch [300] Speed: 253.64 samples/sec Train-accuracy=0.519141 | |
| INFO:root:Epoch[52] Batch [300] Speed: 253.64 samples/sec Train-top_k_accuracy_5=0.757500 | |
| INFO:root:Epoch[52] Batch [350] Speed: 247.96 samples/sec Train-accuracy=0.522891 | |
| INFO:root:Epoch[52] Batch [350] Speed: 247.96 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[52] Batch [400] Speed: 254.82 samples/sec Train-accuracy=0.514844 | |
| INFO:root:Epoch[52] Batch [400] Speed: 254.82 samples/sec Train-top_k_accuracy_5=0.760234 | |
| INFO:root:Epoch[52] Batch [450] Speed: 256.09 samples/sec Train-accuracy=0.515547 | |
| INFO:root:Epoch[52] Batch [450] Speed: 256.09 samples/sec Train-top_k_accuracy_5=0.754531 | |
| INFO:root:Epoch[52] Batch [500] Speed: 249.89 samples/sec Train-accuracy=0.515859 | |
| INFO:root:Epoch[52] Batch [500] Speed: 249.89 samples/sec Train-top_k_accuracy_5=0.751016 | |
| INFO:root:Epoch[52] Batch [550] Speed: 247.17 samples/sec Train-accuracy=0.514609 | |
| INFO:root:Epoch[52] Batch [550] Speed: 247.17 samples/sec Train-top_k_accuracy_5=0.752969 | |
| INFO:root:Epoch[52] Batch [600] Speed: 244.03 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[52] Batch [600] Speed: 244.03 samples/sec Train-top_k_accuracy_5=0.755547 | |
| INFO:root:Epoch[52] Batch [650] Speed: 252.23 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[52] Batch [650] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.755078 | |
| INFO:root:Epoch[52] Batch [700] Speed: 248.90 samples/sec Train-accuracy=0.517422 | |
| INFO:root:Epoch[52] Batch [700] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[52] Batch [750] Speed: 246.12 samples/sec Train-accuracy=0.513281 | |
| INFO:root:Epoch[52] Batch [750] Speed: 246.12 samples/sec Train-top_k_accuracy_5=0.756563 | |
| INFO:root:Epoch[52] Batch [800] Speed: 252.87 samples/sec Train-accuracy=0.514375 | |
| INFO:root:Epoch[52] Batch [800] Speed: 252.87 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[52] Batch [850] Speed: 256.53 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[52] Batch [850] Speed: 256.53 samples/sec Train-top_k_accuracy_5=0.756016 | |
| INFO:root:Epoch[52] Batch [900] Speed: 252.63 samples/sec Train-accuracy=0.518516 | |
| INFO:root:Epoch[52] Batch [900] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.758125 | |
| INFO:root:Epoch[52] Batch [950] Speed: 251.32 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[52] Batch [950] Speed: 251.32 samples/sec Train-top_k_accuracy_5=0.755313 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 248.51 samples/sec Train-accuracy=0.521172 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 248.51 samples/sec Train-top_k_accuracy_5=0.753750 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 243.81 samples/sec Train-accuracy=0.518594 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 243.81 samples/sec Train-top_k_accuracy_5=0.756719 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 255.68 samples/sec Train-accuracy=0.525547 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 255.68 samples/sec Train-top_k_accuracy_5=0.764141 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 257.96 samples/sec Train-accuracy=0.515781 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.755781 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 253.21 samples/sec Train-accuracy=0.514141 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 253.21 samples/sec Train-top_k_accuracy_5=0.757188 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 247.01 samples/sec Train-accuracy=0.515156 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 247.01 samples/sec Train-top_k_accuracy_5=0.752812 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 254.21 samples/sec Train-accuracy=0.516641 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.753906 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 255.42 samples/sec Train-accuracy=0.522500 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.760547 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 245.66 samples/sec Train-accuracy=0.523984 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 245.66 samples/sec Train-top_k_accuracy_5=0.762109 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 250.35 samples/sec Train-accuracy=0.523125 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.761875 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 246.17 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 246.17 samples/sec Train-top_k_accuracy_5=0.753281 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 245.25 samples/sec Train-accuracy=0.523516 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 245.25 samples/sec Train-top_k_accuracy_5=0.756094 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 250.52 samples/sec Train-accuracy=0.520156 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 250.52 samples/sec Train-top_k_accuracy_5=0.753516 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 248.83 samples/sec Train-accuracy=0.518125 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 248.83 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 248.80 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 248.80 samples/sec Train-top_k_accuracy_5=0.748203 |
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