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December 28, 2016 04:34
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| INFO:root:Namespace(aug_level=3, batch_size=256, bn_mom=0.9, data_dir='/home/ubuntu/imagenet', data_type='imagenet', depth=152, frequent=50, gpus='0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15', 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) | |
| [07:24:40] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [07:24:43] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/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), gpu(8), gpu(9), gpu(10), gpu(11), gpu(12), gpu(13), gpu(14), gpu(15)] | |
| INFO:root:Epoch[0] Batch [50] Speed: 122.55 samples/sec Train-accuracy=0.001797 | |
| INFO:root:Epoch[0] Batch [50] Speed: 122.55 samples/sec Train-top_k_accuracy_5=0.005625 | |
| INFO:root:Epoch[0] Batch [100] Speed: 118.30 samples/sec Train-accuracy=0.000703 | |
| INFO:root:Epoch[0] Batch [100] Speed: 118.30 samples/sec Train-top_k_accuracy_5=0.005000 | |
| INFO:root:Epoch[0] Batch [150] Speed: 118.16 samples/sec Train-accuracy=0.001094 | |
| INFO:root:Epoch[0] Batch [150] Speed: 118.16 samples/sec Train-top_k_accuracy_5=0.004375 | |
| INFO:root:Epoch[0] Batch [200] Speed: 117.99 samples/sec Train-accuracy=0.001016 | |
| INFO:root:Epoch[0] Batch [200] Speed: 117.99 samples/sec Train-top_k_accuracy_5=0.005078 | |
| INFO:root:Epoch[0] Batch [250] Speed: 117.68 samples/sec Train-accuracy=0.000781 | |
| INFO:root:Epoch[0] Batch [250] Speed: 117.68 samples/sec Train-top_k_accuracy_5=0.005234 | |
| INFO:root:Epoch[0] Batch [300] Speed: 117.58 samples/sec Train-accuracy=0.001250 | |
| INFO:root:Epoch[0] Batch [300] Speed: 117.58 samples/sec Train-top_k_accuracy_5=0.004687 | |
| INFO:root:Epoch[0] Batch [350] Speed: 117.64 samples/sec Train-accuracy=0.000781 | |
| INFO:root:Epoch[0] Batch [350] Speed: 117.64 samples/sec Train-top_k_accuracy_5=0.005078 | |
| INFO:root:Epoch[0] Batch [400] Speed: 117.50 samples/sec Train-accuracy=0.000859 | |
| INFO:root:Epoch[0] Batch [400] Speed: 117.50 samples/sec Train-top_k_accuracy_5=0.005234 | |
| INFO:root:Epoch[0] Batch [450] Speed: 116.91 samples/sec Train-accuracy=0.001484 | |
| INFO:root:Epoch[0] Batch [450] Speed: 116.91 samples/sec Train-top_k_accuracy_5=0.006484 | |
| INFO:root:Epoch[0] Batch [500] Speed: 117.63 samples/sec Train-accuracy=0.000859 | |
| INFO:root:Epoch[0] Batch [500] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.005391 | |
| INFO:root:Epoch[0] Batch [550] Speed: 117.63 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [550] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.005391 | |
| INFO:root:Epoch[0] Batch [600] Speed: 115.98 samples/sec Train-accuracy=0.001484 | |
| INFO:root:Epoch[0] Batch [600] Speed: 115.98 samples/sec Train-top_k_accuracy_5=0.006016 | |
| INFO:root:Epoch[0] Batch [650] Speed: 116.41 samples/sec Train-accuracy=0.001484 | |
| INFO:root:Epoch[0] Batch [650] Speed: 116.41 samples/sec Train-top_k_accuracy_5=0.005000 | |
| INFO:root:Epoch[0] Batch [700] Speed: 116.48 samples/sec Train-accuracy=0.001250 | |
| INFO:root:Epoch[0] Batch [700] Speed: 116.48 samples/sec Train-top_k_accuracy_5=0.005234 | |
| INFO:root:Epoch[0] Batch [750] Speed: 116.86 samples/sec Train-accuracy=0.001406 | |
| INFO:root:Epoch[0] Batch [750] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.006250 | |
| INFO:root:Epoch[0] Batch [800] Speed: 117.02 samples/sec Train-accuracy=0.001563 | |
| INFO:root:Epoch[0] Batch [800] Speed: 117.02 samples/sec Train-top_k_accuracy_5=0.006641 | |
| INFO:root:Epoch[0] Batch [850] Speed: 116.76 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [850] Speed: 116.76 samples/sec Train-top_k_accuracy_5=0.006562 | |
| INFO:root:Epoch[0] Batch [900] Speed: 117.10 samples/sec Train-accuracy=0.001094 | |
| INFO:root:Epoch[0] Batch [900] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.007266 | |
| INFO:root:Epoch[0] Batch [950] Speed: 115.99 samples/sec Train-accuracy=0.002188 | |
| INFO:root:Epoch[0] Batch [950] Speed: 115.99 samples/sec Train-top_k_accuracy_5=0.009687 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 115.61 samples/sec Train-accuracy=0.002188 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 115.61 samples/sec Train-top_k_accuracy_5=0.009062 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 115.94 samples/sec Train-accuracy=0.002188 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 115.94 samples/sec Train-top_k_accuracy_5=0.010547 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 118.06 samples/sec Train-accuracy=0.003281 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 118.06 samples/sec Train-top_k_accuracy_5=0.014219 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 116.39 samples/sec Train-accuracy=0.002656 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 116.39 samples/sec Train-top_k_accuracy_5=0.012031 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 116.67 samples/sec Train-accuracy=0.001875 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 116.67 samples/sec Train-top_k_accuracy_5=0.011953 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 117.54 samples/sec Train-accuracy=0.004063 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 117.54 samples/sec Train-top_k_accuracy_5=0.016250 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 118.19 samples/sec Train-accuracy=0.003750 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 118.19 samples/sec Train-top_k_accuracy_5=0.014922 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 118.66 samples/sec Train-accuracy=0.003359 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 118.66 samples/sec Train-top_k_accuracy_5=0.015312 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 118.26 samples/sec Train-accuracy=0.003828 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 118.26 samples/sec Train-top_k_accuracy_5=0.017734 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 116.71 samples/sec Train-accuracy=0.004453 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 116.71 samples/sec Train-top_k_accuracy_5=0.019141 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 116.25 samples/sec Train-accuracy=0.003984 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 116.25 samples/sec Train-top_k_accuracy_5=0.019453 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 117.03 samples/sec Train-accuracy=0.005078 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 117.03 samples/sec Train-top_k_accuracy_5=0.020156 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 117.39 samples/sec Train-accuracy=0.005547 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 117.39 samples/sec Train-top_k_accuracy_5=0.021641 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 117.61 samples/sec Train-accuracy=0.005781 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 117.61 samples/sec Train-top_k_accuracy_5=0.022891 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 117.56 samples/sec Train-accuracy=0.004531 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 117.56 samples/sec Train-top_k_accuracy_5=0.023281 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 118.20 samples/sec Train-accuracy=0.006328 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 118.20 samples/sec Train-top_k_accuracy_5=0.025937 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 117.74 samples/sec Train-accuracy=0.007031 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 117.74 samples/sec Train-top_k_accuracy_5=0.028047 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 116.46 samples/sec Train-accuracy=0.007734 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.031250 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 116.84 samples/sec Train-accuracy=0.007266 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 116.84 samples/sec Train-top_k_accuracy_5=0.030156 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 116.84 samples/sec Train-accuracy=0.008906 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 116.84 samples/sec Train-top_k_accuracy_5=0.034219 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 116.68 samples/sec Train-accuracy=0.008594 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 116.68 samples/sec Train-top_k_accuracy_5=0.036797 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 117.11 samples/sec Train-accuracy=0.007656 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 117.11 samples/sec Train-top_k_accuracy_5=0.036875 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 116.71 samples/sec Train-accuracy=0.008750 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 116.71 samples/sec Train-top_k_accuracy_5=0.039844 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 118.27 samples/sec Train-accuracy=0.010625 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 118.27 samples/sec Train-top_k_accuracy_5=0.040859 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 117.93 samples/sec Train-accuracy=0.011094 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 117.93 samples/sec Train-top_k_accuracy_5=0.043125 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 118.12 samples/sec Train-accuracy=0.010469 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 118.12 samples/sec Train-top_k_accuracy_5=0.045000 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 118.33 samples/sec Train-accuracy=0.009531 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 118.33 samples/sec Train-top_k_accuracy_5=0.045391 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 118.58 samples/sec Train-accuracy=0.012266 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 118.58 samples/sec Train-top_k_accuracy_5=0.049063 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 117.92 samples/sec Train-accuracy=0.013516 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 117.92 samples/sec Train-top_k_accuracy_5=0.047344 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 118.30 samples/sec Train-accuracy=0.011875 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 118.30 samples/sec Train-top_k_accuracy_5=0.049219 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 116.71 samples/sec Train-accuracy=0.013359 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 116.71 samples/sec Train-top_k_accuracy_5=0.053828 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 116.45 samples/sec Train-accuracy=0.014687 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 116.45 samples/sec Train-top_k_accuracy_5=0.055391 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 117.00 samples/sec Train-accuracy=0.015703 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.057031 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 117.26 samples/sec Train-accuracy=0.015625 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 117.26 samples/sec Train-top_k_accuracy_5=0.060000 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 116.96 samples/sec Train-accuracy=0.015859 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 116.96 samples/sec Train-top_k_accuracy_5=0.060156 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 116.99 samples/sec Train-accuracy=0.015859 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 116.99 samples/sec Train-top_k_accuracy_5=0.060703 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 116.70 samples/sec Train-accuracy=0.017812 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 116.70 samples/sec Train-top_k_accuracy_5=0.070234 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 116.54 samples/sec Train-accuracy=0.017656 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.065937 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 117.09 samples/sec Train-accuracy=0.020625 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 117.09 samples/sec Train-top_k_accuracy_5=0.072813 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 116.53 samples/sec Train-accuracy=0.020391 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 116.53 samples/sec Train-top_k_accuracy_5=0.076797 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 116.63 samples/sec Train-accuracy=0.020313 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 116.63 samples/sec Train-top_k_accuracy_5=0.076641 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 117.17 samples/sec Train-accuracy=0.019609 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 117.17 samples/sec Train-top_k_accuracy_5=0.079062 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 117.37 samples/sec Train-accuracy=0.025000 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 117.37 samples/sec Train-top_k_accuracy_5=0.086484 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 117.04 samples/sec Train-accuracy=0.026016 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 117.04 samples/sec Train-top_k_accuracy_5=0.087969 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 116.49 samples/sec Train-accuracy=0.025859 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 116.49 samples/sec Train-top_k_accuracy_5=0.088828 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 116.78 samples/sec Train-accuracy=0.023594 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 116.78 samples/sec Train-top_k_accuracy_5=0.086953 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 116.80 samples/sec Train-accuracy=0.029453 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 116.80 samples/sec Train-top_k_accuracy_5=0.091563 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 116.78 samples/sec Train-accuracy=0.027734 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 116.78 samples/sec Train-top_k_accuracy_5=0.094609 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 116.78 samples/sec Train-accuracy=0.028125 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 116.78 samples/sec Train-top_k_accuracy_5=0.096562 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 116.54 samples/sec Train-accuracy=0.030859 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.100234 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 116.59 samples/sec Train-accuracy=0.032578 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 116.59 samples/sec Train-top_k_accuracy_5=0.106328 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 116.70 samples/sec Train-accuracy=0.029766 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 116.70 samples/sec Train-top_k_accuracy_5=0.105391 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 116.35 samples/sec Train-accuracy=0.031797 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 116.35 samples/sec Train-top_k_accuracy_5=0.106094 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 116.90 samples/sec Train-accuracy=0.033359 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.113984 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 117.06 samples/sec Train-accuracy=0.036016 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 117.06 samples/sec Train-top_k_accuracy_5=0.116016 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 115.70 samples/sec Train-accuracy=0.037969 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 115.70 samples/sec Train-top_k_accuracy_5=0.121016 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 116.24 samples/sec Train-accuracy=0.037031 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 116.24 samples/sec Train-top_k_accuracy_5=0.121094 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 116.04 samples/sec Train-accuracy=0.039062 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 116.04 samples/sec Train-top_k_accuracy_5=0.123281 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 116.12 samples/sec Train-accuracy=0.042891 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 116.12 samples/sec Train-top_k_accuracy_5=0.132109 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 116.21 samples/sec Train-accuracy=0.040625 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 116.21 samples/sec Train-top_k_accuracy_5=0.127969 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 116.61 samples/sec Train-accuracy=0.043828 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 116.61 samples/sec Train-top_k_accuracy_5=0.132500 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 117.52 samples/sec Train-accuracy=0.044844 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 117.52 samples/sec Train-top_k_accuracy_5=0.137422 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 117.52 samples/sec Train-accuracy=0.046406 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 117.52 samples/sec Train-top_k_accuracy_5=0.140234 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 116.61 samples/sec Train-accuracy=0.045469 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 116.61 samples/sec Train-top_k_accuracy_5=0.145391 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 116.64 samples/sec Train-accuracy=0.046484 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 116.64 samples/sec Train-top_k_accuracy_5=0.141563 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 116.43 samples/sec Train-accuracy=0.049688 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 116.43 samples/sec Train-top_k_accuracy_5=0.151641 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 116.32 samples/sec Train-accuracy=0.050078 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 116.32 samples/sec Train-top_k_accuracy_5=0.154062 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 117.11 samples/sec Train-accuracy=0.054688 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 117.11 samples/sec Train-top_k_accuracy_5=0.160156 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 116.39 samples/sec Train-accuracy=0.054453 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 116.39 samples/sec Train-top_k_accuracy_5=0.160391 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 116.04 samples/sec Train-accuracy=0.053203 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 116.04 samples/sec Train-top_k_accuracy_5=0.163750 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 116.54 samples/sec Train-accuracy=0.055234 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.161719 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 116.47 samples/sec Train-accuracy=0.057969 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.169687 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 116.47 samples/sec Train-accuracy=0.060547 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.174687 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 116.40 samples/sec Train-accuracy=0.058906 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 116.40 samples/sec Train-top_k_accuracy_5=0.171484 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 116.90 samples/sec Train-accuracy=0.063516 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.175937 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 116.34 samples/sec Train-accuracy=0.061953 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 116.34 samples/sec Train-top_k_accuracy_5=0.175859 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 116.84 samples/sec Train-accuracy=0.062734 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 116.84 samples/sec Train-top_k_accuracy_5=0.177344 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 116.20 samples/sec Train-accuracy=0.067500 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 116.20 samples/sec Train-top_k_accuracy_5=0.190000 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 116.73 samples/sec Train-accuracy=0.067109 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 116.73 samples/sec Train-top_k_accuracy_5=0.192266 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 115.36 samples/sec Train-accuracy=0.075234 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 115.36 samples/sec Train-top_k_accuracy_5=0.194609 | |
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| INFO:root:Epoch[0] Batch [5000] Speed: 115.68 samples/sec Train-top_k_accuracy_5=0.195000 | |
| INFO:root:Epoch[0] Resetting Data Iterator | |
| INFO:root:Epoch[0] Time cost=10970.699 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0001.params" | |
| INFO:root:Epoch[0] Validation-accuracy=0.084243 | |
| INFO:root:Epoch[0] Validation-top_k_accuracy_5=0.228316 | |
| INFO:root:Epoch[1] Batch [50] Speed: 117.74 samples/sec Train-accuracy=0.077188 | |
| INFO:root:Epoch[1] Batch [50] Speed: 117.74 samples/sec Train-top_k_accuracy_5=0.204687 | |
| INFO:root:Epoch[1] Batch [100] Speed: 115.10 samples/sec Train-accuracy=0.077813 | |
| INFO:root:Epoch[1] Batch [100] Speed: 115.10 samples/sec Train-top_k_accuracy_5=0.209297 | |
| INFO:root:Epoch[1] Batch [150] Speed: 115.46 samples/sec Train-accuracy=0.073203 | |
| INFO:root:Epoch[1] Batch [150] Speed: 115.46 samples/sec Train-top_k_accuracy_5=0.199844 | |
| INFO:root:Epoch[1] Batch [200] Speed: 115.41 samples/sec Train-accuracy=0.069844 | |
| INFO:root:Epoch[1] Batch [200] Speed: 115.41 samples/sec Train-top_k_accuracy_5=0.195000 | |
| INFO:root:Epoch[1] Batch [250] Speed: 115.69 samples/sec Train-accuracy=0.074063 | |
| INFO:root:Epoch[1] Batch [250] Speed: 115.69 samples/sec Train-top_k_accuracy_5=0.204453 | |
| INFO:root:Epoch[1] Batch [300] Speed: 115.86 samples/sec Train-accuracy=0.078672 | |
| INFO:root:Epoch[1] Batch [300] Speed: 115.86 samples/sec Train-top_k_accuracy_5=0.212031 | |
| INFO:root:Epoch[1] Batch [350] Speed: 115.79 samples/sec Train-accuracy=0.084297 | |
| INFO:root:Epoch[1] Batch [350] Speed: 115.79 samples/sec Train-top_k_accuracy_5=0.217578 | |
| INFO:root:Epoch[1] Batch [400] Speed: 115.77 samples/sec Train-accuracy=0.081328 | |
| INFO:root:Epoch[1] Batch [400] Speed: 115.77 samples/sec Train-top_k_accuracy_5=0.223516 | |
| INFO:root:Epoch[1] Batch [450] Speed: 115.57 samples/sec Train-accuracy=0.082812 | |
| INFO:root:Epoch[1] Batch [450] Speed: 115.57 samples/sec Train-top_k_accuracy_5=0.224453 | |
| INFO:root:Epoch[1] Batch [500] Speed: 116.94 samples/sec Train-accuracy=0.088047 | |
| INFO:root:Epoch[1] Batch [500] Speed: 116.94 samples/sec Train-top_k_accuracy_5=0.228359 | |
| INFO:root:Epoch[1] Batch [550] Speed: 116.07 samples/sec Train-accuracy=0.087656 | |
| INFO:root:Epoch[1] Batch [550] Speed: 116.07 samples/sec Train-top_k_accuracy_5=0.225938 | |
| INFO:root:Epoch[1] Batch [600] Speed: 116.28 samples/sec Train-accuracy=0.090547 | |
| INFO:root:Epoch[1] Batch [600] Speed: 116.28 samples/sec Train-top_k_accuracy_5=0.237500 | |
| INFO:root:Epoch[1] Batch [650] Speed: 116.64 samples/sec Train-accuracy=0.089297 | |
| INFO:root:Epoch[1] Batch [650] Speed: 116.64 samples/sec Train-top_k_accuracy_5=0.237891 | |
| INFO:root:Epoch[1] Batch [700] Speed: 116.40 samples/sec Train-accuracy=0.096484 | |
| INFO:root:Epoch[1] Batch [700] Speed: 116.40 samples/sec Train-top_k_accuracy_5=0.241250 | |
| INFO:root:Epoch[1] Batch [750] Speed: 116.12 samples/sec Train-accuracy=0.096172 | |
| INFO:root:Epoch[1] Batch [750] Speed: 116.12 samples/sec Train-top_k_accuracy_5=0.247344 | |
| INFO:root:Epoch[1] Batch [800] Speed: 116.98 samples/sec Train-accuracy=0.098281 | |
| INFO:root:Epoch[1] Batch [800] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.252812 | |
| INFO:root:Epoch[1] Batch [850] Speed: 116.87 samples/sec Train-accuracy=0.093984 | |
| INFO:root:Epoch[1] Batch [850] Speed: 116.87 samples/sec Train-top_k_accuracy_5=0.248125 | |
| INFO:root:Epoch[1] Batch [900] Speed: 116.51 samples/sec Train-accuracy=0.102891 | |
| INFO:root:Epoch[1] Batch [900] Speed: 116.51 samples/sec Train-top_k_accuracy_5=0.257656 | |
| INFO:root:Epoch[1] Batch [950] Speed: 115.96 samples/sec Train-accuracy=0.104609 | |
| INFO:root:Epoch[1] Batch [950] Speed: 115.96 samples/sec Train-top_k_accuracy_5=0.259766 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 117.27 samples/sec Train-accuracy=0.108281 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 117.27 samples/sec Train-top_k_accuracy_5=0.266875 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 116.86 samples/sec Train-accuracy=0.107813 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.266719 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 116.69 samples/sec Train-accuracy=0.110703 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 116.69 samples/sec Train-top_k_accuracy_5=0.273672 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 116.47 samples/sec Train-accuracy=0.111562 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.271953 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 115.05 samples/sec Train-accuracy=0.111484 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 115.05 samples/sec Train-top_k_accuracy_5=0.271016 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 114.92 samples/sec Train-accuracy=0.110781 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 114.92 samples/sec Train-top_k_accuracy_5=0.281094 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 115.19 samples/sec Train-accuracy=0.113594 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 115.19 samples/sec Train-top_k_accuracy_5=0.286328 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 115.24 samples/sec Train-accuracy=0.113516 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 115.24 samples/sec Train-top_k_accuracy_5=0.281250 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 114.82 samples/sec Train-accuracy=0.116328 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 114.82 samples/sec Train-top_k_accuracy_5=0.284609 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 117.17 samples/sec Train-accuracy=0.130000 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 117.17 samples/sec Train-top_k_accuracy_5=0.300781 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 117.23 samples/sec Train-accuracy=0.116719 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 117.23 samples/sec Train-top_k_accuracy_5=0.293828 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 117.22 samples/sec Train-accuracy=0.120547 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 117.22 samples/sec Train-top_k_accuracy_5=0.294141 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 117.03 samples/sec Train-accuracy=0.125625 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 117.03 samples/sec Train-top_k_accuracy_5=0.301641 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 117.52 samples/sec Train-accuracy=0.128594 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 117.52 samples/sec Train-top_k_accuracy_5=0.300703 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 117.61 samples/sec Train-accuracy=0.123438 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 117.61 samples/sec Train-top_k_accuracy_5=0.295391 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 117.27 samples/sec Train-accuracy=0.124688 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 117.27 samples/sec Train-top_k_accuracy_5=0.304688 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 117.63 samples/sec Train-accuracy=0.127812 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.304375 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 117.51 samples/sec Train-accuracy=0.131406 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 117.51 samples/sec Train-top_k_accuracy_5=0.310469 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 116.75 samples/sec Train-accuracy=0.131406 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 116.75 samples/sec Train-top_k_accuracy_5=0.311250 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 117.25 samples/sec Train-accuracy=0.138359 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 117.25 samples/sec Train-top_k_accuracy_5=0.321016 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 117.47 samples/sec Train-accuracy=0.136172 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 117.47 samples/sec Train-top_k_accuracy_5=0.314609 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 116.92 samples/sec Train-accuracy=0.134141 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 116.92 samples/sec Train-top_k_accuracy_5=0.315547 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 117.46 samples/sec Train-accuracy=0.140937 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 117.46 samples/sec Train-top_k_accuracy_5=0.326719 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 117.27 samples/sec Train-accuracy=0.141875 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 117.27 samples/sec Train-top_k_accuracy_5=0.325469 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 116.79 samples/sec Train-accuracy=0.143516 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 116.79 samples/sec Train-top_k_accuracy_5=0.331016 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 117.40 samples/sec Train-accuracy=0.150391 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 117.40 samples/sec Train-top_k_accuracy_5=0.336406 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 116.98 samples/sec Train-accuracy=0.147578 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.333906 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 117.15 samples/sec Train-accuracy=0.145234 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 117.15 samples/sec Train-top_k_accuracy_5=0.339687 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 116.58 samples/sec Train-accuracy=0.150625 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 116.58 samples/sec Train-top_k_accuracy_5=0.341484 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 117.48 samples/sec Train-accuracy=0.152188 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 117.48 samples/sec Train-top_k_accuracy_5=0.346328 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 116.81 samples/sec Train-accuracy=0.145469 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 116.81 samples/sec Train-top_k_accuracy_5=0.335391 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 117.29 samples/sec Train-accuracy=0.152812 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.340000 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 116.61 samples/sec Train-accuracy=0.148906 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 116.61 samples/sec Train-top_k_accuracy_5=0.335391 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 117.40 samples/sec Train-accuracy=0.146797 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 117.40 samples/sec Train-top_k_accuracy_5=0.340391 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 116.62 samples/sec Train-accuracy=0.154297 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.347969 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 116.95 samples/sec Train-accuracy=0.152969 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 116.95 samples/sec Train-top_k_accuracy_5=0.344219 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 116.93 samples/sec Train-accuracy=0.161797 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 116.93 samples/sec Train-top_k_accuracy_5=0.352656 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 116.98 samples/sec Train-accuracy=0.157266 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.354766 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 116.81 samples/sec Train-accuracy=0.166328 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 116.81 samples/sec Train-top_k_accuracy_5=0.361328 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 116.29 samples/sec Train-accuracy=0.167109 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 116.29 samples/sec Train-top_k_accuracy_5=0.360469 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 116.54 samples/sec Train-accuracy=0.163125 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.360781 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 116.42 samples/sec Train-accuracy=0.164531 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 116.42 samples/sec Train-top_k_accuracy_5=0.365000 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 116.76 samples/sec Train-accuracy=0.171641 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 116.76 samples/sec Train-top_k_accuracy_5=0.370937 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 116.30 samples/sec Train-accuracy=0.174219 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 116.30 samples/sec Train-top_k_accuracy_5=0.375078 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 116.18 samples/sec Train-accuracy=0.172813 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 116.18 samples/sec Train-top_k_accuracy_5=0.379141 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 117.22 samples/sec Train-accuracy=0.175547 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 117.22 samples/sec Train-top_k_accuracy_5=0.377891 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 116.61 samples/sec Train-accuracy=0.174687 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 116.61 samples/sec Train-top_k_accuracy_5=0.381172 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 116.90 samples/sec Train-accuracy=0.175156 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.375937 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 116.48 samples/sec Train-accuracy=0.174687 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 116.48 samples/sec Train-top_k_accuracy_5=0.374688 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 116.69 samples/sec Train-accuracy=0.178281 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 116.69 samples/sec Train-top_k_accuracy_5=0.385937 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 116.18 samples/sec Train-accuracy=0.179922 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 116.18 samples/sec Train-top_k_accuracy_5=0.386406 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 117.18 samples/sec Train-accuracy=0.184141 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 117.18 samples/sec Train-top_k_accuracy_5=0.391953 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 117.94 samples/sec Train-accuracy=0.184688 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 117.94 samples/sec Train-top_k_accuracy_5=0.394531 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 117.29 samples/sec Train-accuracy=0.187656 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.397969 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 117.89 samples/sec Train-accuracy=0.180078 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 117.89 samples/sec Train-top_k_accuracy_5=0.392969 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 117.34 samples/sec Train-accuracy=0.184922 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 117.34 samples/sec Train-top_k_accuracy_5=0.393672 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 117.40 samples/sec Train-accuracy=0.187109 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 117.40 samples/sec Train-top_k_accuracy_5=0.401328 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 117.36 samples/sec Train-accuracy=0.191562 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 117.36 samples/sec Train-top_k_accuracy_5=0.402969 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 117.24 samples/sec Train-accuracy=0.193281 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 117.24 samples/sec Train-top_k_accuracy_5=0.404297 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 117.30 samples/sec Train-accuracy=0.188750 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 117.30 samples/sec Train-top_k_accuracy_5=0.400078 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 117.40 samples/sec Train-accuracy=0.188438 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 117.40 samples/sec Train-top_k_accuracy_5=0.404844 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 115.09 samples/sec Train-accuracy=0.192266 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 115.09 samples/sec Train-top_k_accuracy_5=0.405547 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 116.05 samples/sec Train-accuracy=0.198047 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 116.05 samples/sec Train-top_k_accuracy_5=0.412266 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 116.39 samples/sec Train-accuracy=0.200000 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 116.39 samples/sec Train-top_k_accuracy_5=0.411094 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 115.93 samples/sec Train-accuracy=0.194688 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 115.93 samples/sec Train-top_k_accuracy_5=0.406719 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 115.78 samples/sec Train-accuracy=0.202109 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 115.78 samples/sec Train-top_k_accuracy_5=0.417734 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 115.94 samples/sec Train-accuracy=0.203359 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 115.94 samples/sec Train-top_k_accuracy_5=0.422500 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 116.40 samples/sec Train-accuracy=0.202969 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 116.40 samples/sec Train-top_k_accuracy_5=0.417422 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 115.55 samples/sec Train-accuracy=0.200078 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 115.55 samples/sec Train-top_k_accuracy_5=0.417344 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 116.27 samples/sec Train-accuracy=0.201563 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 116.27 samples/sec Train-top_k_accuracy_5=0.418438 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 116.14 samples/sec Train-accuracy=0.203047 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 116.14 samples/sec Train-top_k_accuracy_5=0.413203 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 115.87 samples/sec Train-accuracy=0.205937 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 115.87 samples/sec Train-top_k_accuracy_5=0.423906 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 115.82 samples/sec Train-accuracy=0.204219 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 115.82 samples/sec Train-top_k_accuracy_5=0.423828 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 116.09 samples/sec Train-accuracy=0.205781 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 116.09 samples/sec Train-top_k_accuracy_5=0.418125 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 116.03 samples/sec Train-accuracy=0.203672 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 116.03 samples/sec Train-top_k_accuracy_5=0.416016 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 115.50 samples/sec Train-accuracy=0.187656 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 115.50 samples/sec Train-top_k_accuracy_5=0.393203 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 116.23 samples/sec Train-accuracy=0.199141 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 116.23 samples/sec Train-top_k_accuracy_5=0.415078 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 116.13 samples/sec Train-accuracy=0.206484 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 116.13 samples/sec Train-top_k_accuracy_5=0.425312 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 117.05 samples/sec Train-accuracy=0.211953 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 117.05 samples/sec Train-top_k_accuracy_5=0.422891 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 117.23 samples/sec Train-accuracy=0.214219 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 117.23 samples/sec Train-top_k_accuracy_5=0.433281 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 117.31 samples/sec Train-accuracy=0.217969 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 117.31 samples/sec Train-top_k_accuracy_5=0.437891 | |
| INFO:root:Epoch[1] Resetting Data Iterator | |
| INFO:root:Epoch[1] Time cost=10990.406 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0002.params" | |
| INFO:root:Epoch[1] Validation-accuracy=0.269432 | |
| INFO:root:Epoch[1] Validation-top_k_accuracy_5=0.525530 | |
| INFO:root:Epoch[2] Batch [50] Speed: 117.21 samples/sec Train-accuracy=0.222422 | |
| INFO:root:Epoch[2] Batch [50] Speed: 117.21 samples/sec Train-top_k_accuracy_5=0.448359 | |
| INFO:root:Epoch[2] Batch [100] Speed: 117.10 samples/sec Train-accuracy=0.220625 | |
| INFO:root:Epoch[2] Batch [100] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.445391 | |
| INFO:root:Epoch[2] Batch [150] Speed: 116.74 samples/sec Train-accuracy=0.215234 | |
| INFO:root:Epoch[2] Batch [150] Speed: 116.74 samples/sec Train-top_k_accuracy_5=0.438125 | |
| INFO:root:Epoch[2] Batch [200] Speed: 116.79 samples/sec Train-accuracy=0.226328 | |
| INFO:root:Epoch[2] Batch [200] Speed: 116.79 samples/sec Train-top_k_accuracy_5=0.449062 | |
| INFO:root:Epoch[2] Batch [250] Speed: 116.04 samples/sec Train-accuracy=0.217188 | |
| INFO:root:Epoch[2] Batch [250] Speed: 116.04 samples/sec Train-top_k_accuracy_5=0.444844 | |
| INFO:root:Epoch[2] Batch [300] Speed: 116.34 samples/sec Train-accuracy=0.223203 | |
| INFO:root:Epoch[2] Batch [300] Speed: 116.34 samples/sec Train-top_k_accuracy_5=0.449609 | |
| INFO:root:Epoch[2] Batch [350] Speed: 116.16 samples/sec Train-accuracy=0.229922 | |
| INFO:root:Epoch[2] Batch [350] Speed: 116.16 samples/sec Train-top_k_accuracy_5=0.458125 | |
| INFO:root:Epoch[2] Batch [400] Speed: 116.09 samples/sec Train-accuracy=0.222344 | |
| INFO:root:Epoch[2] Batch [400] Speed: 116.09 samples/sec Train-top_k_accuracy_5=0.453672 | |
| INFO:root:Epoch[2] Batch [450] Speed: 116.60 samples/sec Train-accuracy=0.228125 | |
| INFO:root:Epoch[2] Batch [450] Speed: 116.60 samples/sec Train-top_k_accuracy_5=0.455078 | |
| INFO:root:Epoch[2] Batch [500] Speed: 116.12 samples/sec Train-accuracy=0.234375 | |
| INFO:root:Epoch[2] Batch [500] Speed: 116.12 samples/sec Train-top_k_accuracy_5=0.463047 | |
| INFO:root:Epoch[2] Batch [550] Speed: 116.04 samples/sec Train-accuracy=0.231094 | |
| INFO:root:Epoch[2] Batch [550] Speed: 116.04 samples/sec Train-top_k_accuracy_5=0.453594 | |
| INFO:root:Epoch[2] Batch [600] Speed: 115.87 samples/sec Train-accuracy=0.230000 | |
| INFO:root:Epoch[2] Batch [600] Speed: 115.87 samples/sec Train-top_k_accuracy_5=0.455391 | |
| INFO:root:Epoch[2] Batch [650] Speed: 116.89 samples/sec Train-accuracy=0.231563 | |
| INFO:root:Epoch[2] Batch [650] Speed: 116.89 samples/sec Train-top_k_accuracy_5=0.463672 | |
| INFO:root:Epoch[2] Batch [700] Speed: 116.11 samples/sec Train-accuracy=0.232266 | |
| INFO:root:Epoch[2] Batch [700] Speed: 116.11 samples/sec Train-top_k_accuracy_5=0.455156 | |
| INFO:root:Epoch[2] Batch [750] Speed: 116.46 samples/sec Train-accuracy=0.239687 | |
| INFO:root:Epoch[2] Batch [750] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.465703 | |
| INFO:root:Epoch[2] Batch [800] Speed: 116.78 samples/sec Train-accuracy=0.231172 | |
| INFO:root:Epoch[2] Batch [800] Speed: 116.78 samples/sec Train-top_k_accuracy_5=0.463203 | |
| INFO:root:Epoch[2] Batch [850] Speed: 116.18 samples/sec Train-accuracy=0.238828 | |
| INFO:root:Epoch[2] Batch [850] Speed: 116.18 samples/sec Train-top_k_accuracy_5=0.464844 | |
| INFO:root:Epoch[2] Batch [900] Speed: 116.35 samples/sec Train-accuracy=0.238906 | |
| INFO:root:Epoch[2] Batch [900] Speed: 116.35 samples/sec Train-top_k_accuracy_5=0.460313 | |
| INFO:root:Epoch[2] Batch [950] Speed: 115.88 samples/sec Train-accuracy=0.234844 | |
| INFO:root:Epoch[2] Batch [950] Speed: 115.88 samples/sec Train-top_k_accuracy_5=0.467734 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 116.37 samples/sec Train-accuracy=0.236016 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 116.37 samples/sec Train-top_k_accuracy_5=0.471172 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 116.11 samples/sec Train-accuracy=0.240625 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 116.11 samples/sec Train-top_k_accuracy_5=0.473047 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 116.80 samples/sec Train-accuracy=0.240703 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 116.80 samples/sec Train-top_k_accuracy_5=0.478281 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 115.82 samples/sec Train-accuracy=0.242031 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 115.82 samples/sec Train-top_k_accuracy_5=0.469297 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 116.46 samples/sec Train-accuracy=0.247812 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.476328 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 116.62 samples/sec Train-accuracy=0.242031 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.471406 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 116.16 samples/sec Train-accuracy=0.243984 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 116.16 samples/sec Train-top_k_accuracy_5=0.474062 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 116.41 samples/sec Train-accuracy=0.239297 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 116.41 samples/sec Train-top_k_accuracy_5=0.476953 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 116.26 samples/sec Train-accuracy=0.249609 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 116.26 samples/sec Train-top_k_accuracy_5=0.482578 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 116.48 samples/sec Train-accuracy=0.249141 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 116.48 samples/sec Train-top_k_accuracy_5=0.483516 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 116.61 samples/sec Train-accuracy=0.247578 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 116.61 samples/sec Train-top_k_accuracy_5=0.479453 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 116.52 samples/sec Train-accuracy=0.251563 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 116.52 samples/sec Train-top_k_accuracy_5=0.483750 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 116.41 samples/sec Train-accuracy=0.257656 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 116.41 samples/sec Train-top_k_accuracy_5=0.489531 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 116.14 samples/sec Train-accuracy=0.252109 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 116.14 samples/sec Train-top_k_accuracy_5=0.487109 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 116.34 samples/sec Train-accuracy=0.247578 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 116.34 samples/sec Train-top_k_accuracy_5=0.475078 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 117.01 samples/sec Train-accuracy=0.254844 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 117.01 samples/sec Train-top_k_accuracy_5=0.488125 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 116.88 samples/sec Train-accuracy=0.248516 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 116.88 samples/sec Train-top_k_accuracy_5=0.482500 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 116.91 samples/sec Train-accuracy=0.252656 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 116.91 samples/sec Train-top_k_accuracy_5=0.480625 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 117.10 samples/sec Train-accuracy=0.256719 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.486094 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 117.29 samples/sec Train-accuracy=0.255859 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.492031 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 116.05 samples/sec Train-accuracy=0.256250 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 116.05 samples/sec Train-top_k_accuracy_5=0.484922 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 115.50 samples/sec Train-accuracy=0.262266 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 115.50 samples/sec Train-top_k_accuracy_5=0.499844 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 117.36 samples/sec Train-accuracy=0.263125 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 117.36 samples/sec Train-top_k_accuracy_5=0.494063 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 117.53 samples/sec Train-accuracy=0.270625 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 117.53 samples/sec Train-top_k_accuracy_5=0.506797 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 117.36 samples/sec Train-accuracy=0.263672 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 117.36 samples/sec Train-top_k_accuracy_5=0.502188 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 116.48 samples/sec Train-accuracy=0.266406 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 116.48 samples/sec Train-top_k_accuracy_5=0.498203 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 116.56 samples/sec Train-accuracy=0.267891 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 116.56 samples/sec Train-top_k_accuracy_5=0.506016 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 116.02 samples/sec Train-accuracy=0.265781 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 116.02 samples/sec Train-top_k_accuracy_5=0.497266 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 116.47 samples/sec Train-accuracy=0.264531 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.500078 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 116.50 samples/sec Train-accuracy=0.267969 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 116.50 samples/sec Train-top_k_accuracy_5=0.503437 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 116.39 samples/sec Train-accuracy=0.267891 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 116.39 samples/sec Train-top_k_accuracy_5=0.500859 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 116.32 samples/sec Train-accuracy=0.262656 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 116.32 samples/sec Train-top_k_accuracy_5=0.502188 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 116.54 samples/sec Train-accuracy=0.268359 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.501563 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 115.52 samples/sec Train-accuracy=0.270000 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 115.52 samples/sec Train-top_k_accuracy_5=0.503594 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 115.75 samples/sec Train-accuracy=0.268281 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 115.75 samples/sec Train-top_k_accuracy_5=0.508125 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 116.37 samples/sec Train-accuracy=0.267422 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 116.37 samples/sec Train-top_k_accuracy_5=0.507891 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 117.99 samples/sec Train-accuracy=0.276328 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 117.99 samples/sec Train-top_k_accuracy_5=0.510781 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 117.37 samples/sec Train-accuracy=0.270313 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 117.37 samples/sec Train-top_k_accuracy_5=0.512734 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 117.74 samples/sec Train-accuracy=0.273594 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 117.74 samples/sec Train-top_k_accuracy_5=0.515703 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 117.80 samples/sec Train-accuracy=0.278984 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 117.80 samples/sec Train-top_k_accuracy_5=0.513047 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 117.63 samples/sec Train-accuracy=0.273125 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.513281 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 117.62 samples/sec Train-accuracy=0.275313 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 117.62 samples/sec Train-top_k_accuracy_5=0.516328 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 116.92 samples/sec Train-accuracy=0.277187 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 116.92 samples/sec Train-top_k_accuracy_5=0.514297 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 117.85 samples/sec Train-accuracy=0.278203 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 117.85 samples/sec Train-top_k_accuracy_5=0.517031 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 115.22 samples/sec Train-accuracy=0.279453 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 115.22 samples/sec Train-top_k_accuracy_5=0.515156 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 114.91 samples/sec Train-accuracy=0.274062 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 114.91 samples/sec Train-top_k_accuracy_5=0.515781 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 115.06 samples/sec Train-accuracy=0.280000 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 115.06 samples/sec Train-top_k_accuracy_5=0.519141 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 115.87 samples/sec Train-accuracy=0.278672 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 115.87 samples/sec Train-top_k_accuracy_5=0.519453 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 116.06 samples/sec Train-accuracy=0.280625 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 116.06 samples/sec Train-top_k_accuracy_5=0.514297 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 115.26 samples/sec Train-accuracy=0.284531 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 115.26 samples/sec Train-top_k_accuracy_5=0.521563 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 115.35 samples/sec Train-accuracy=0.286406 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 115.35 samples/sec Train-top_k_accuracy_5=0.523125 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 115.17 samples/sec Train-accuracy=0.294141 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 115.17 samples/sec Train-top_k_accuracy_5=0.529219 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 115.72 samples/sec Train-accuracy=0.284453 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 115.72 samples/sec Train-top_k_accuracy_5=0.523047 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 115.95 samples/sec Train-accuracy=0.289766 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 115.95 samples/sec Train-top_k_accuracy_5=0.529375 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 115.91 samples/sec Train-accuracy=0.283750 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 115.91 samples/sec Train-top_k_accuracy_5=0.523359 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 115.23 samples/sec Train-accuracy=0.282500 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 115.23 samples/sec Train-top_k_accuracy_5=0.523281 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 115.54 samples/sec Train-accuracy=0.283438 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 115.54 samples/sec Train-top_k_accuracy_5=0.522344 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 116.19 samples/sec Train-accuracy=0.289297 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 116.19 samples/sec Train-top_k_accuracy_5=0.524062 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 115.46 samples/sec Train-accuracy=0.295156 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 115.46 samples/sec Train-top_k_accuracy_5=0.532891 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 115.40 samples/sec Train-accuracy=0.278438 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 115.40 samples/sec Train-top_k_accuracy_5=0.520625 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 116.70 samples/sec Train-accuracy=0.286094 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 116.70 samples/sec Train-top_k_accuracy_5=0.529141 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 116.99 samples/sec Train-accuracy=0.287500 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 116.99 samples/sec Train-top_k_accuracy_5=0.529531 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 117.13 samples/sec Train-accuracy=0.292266 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 117.13 samples/sec Train-top_k_accuracy_5=0.533203 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 117.18 samples/sec Train-accuracy=0.288516 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 117.18 samples/sec Train-top_k_accuracy_5=0.529219 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 116.39 samples/sec Train-accuracy=0.290312 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 116.39 samples/sec Train-top_k_accuracy_5=0.526094 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 116.01 samples/sec Train-accuracy=0.301094 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 116.01 samples/sec Train-top_k_accuracy_5=0.541953 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 116.18 samples/sec Train-accuracy=0.293047 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 116.18 samples/sec Train-top_k_accuracy_5=0.538594 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 116.38 samples/sec Train-accuracy=0.298203 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 116.38 samples/sec Train-top_k_accuracy_5=0.534375 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 115.96 samples/sec Train-accuracy=0.303281 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 115.96 samples/sec Train-top_k_accuracy_5=0.546250 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 116.28 samples/sec Train-accuracy=0.293438 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 116.28 samples/sec Train-top_k_accuracy_5=0.530234 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 116.24 samples/sec Train-accuracy=0.290000 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 116.24 samples/sec Train-top_k_accuracy_5=0.529531 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 116.36 samples/sec Train-accuracy=0.298359 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 116.36 samples/sec Train-top_k_accuracy_5=0.541016 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 116.34 samples/sec Train-accuracy=0.297109 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 116.34 samples/sec Train-top_k_accuracy_5=0.541875 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 117.70 samples/sec Train-accuracy=0.292266 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 117.70 samples/sec Train-top_k_accuracy_5=0.534531 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 117.79 samples/sec Train-accuracy=0.295156 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 117.79 samples/sec Train-top_k_accuracy_5=0.540156 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 118.16 samples/sec Train-accuracy=0.291484 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 118.16 samples/sec Train-top_k_accuracy_5=0.533594 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 117.91 samples/sec Train-accuracy=0.295547 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 117.91 samples/sec Train-top_k_accuracy_5=0.533125 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 117.75 samples/sec Train-accuracy=0.293125 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 117.75 samples/sec Train-top_k_accuracy_5=0.535937 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 117.89 samples/sec Train-accuracy=0.295156 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 117.89 samples/sec Train-top_k_accuracy_5=0.533516 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 118.25 samples/sec Train-accuracy=0.297969 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 118.25 samples/sec Train-top_k_accuracy_5=0.538906 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 118.40 samples/sec Train-accuracy=0.304922 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 118.40 samples/sec Train-top_k_accuracy_5=0.542969 | |
| INFO:root:Epoch[2] Resetting Data Iterator | |
| INFO:root:Epoch[2] Time cost=10994.742 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0003.params" | |
| INFO:root:Epoch[2] Validation-accuracy=0.372608 | |
| INFO:root:Epoch[2] Validation-top_k_accuracy_5=0.640804 | |
| INFO:root:Epoch[3] Batch [50] Speed: 119.24 samples/sec Train-accuracy=0.306875 | |
| INFO:root:Epoch[3] Batch [50] Speed: 119.24 samples/sec Train-top_k_accuracy_5=0.550156 | |
| INFO:root:Epoch[3] Batch [100] Speed: 116.98 samples/sec Train-accuracy=0.303359 | |
| INFO:root:Epoch[3] Batch [100] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.547109 | |
| INFO:root:Epoch[3] Batch [150] Speed: 116.70 samples/sec Train-accuracy=0.304609 | |
| INFO:root:Epoch[3] Batch [150] Speed: 116.70 samples/sec Train-top_k_accuracy_5=0.551562 | |
| INFO:root:Epoch[3] Batch [200] Speed: 116.84 samples/sec Train-accuracy=0.309531 | |
| INFO:root:Epoch[3] Batch [200] Speed: 116.84 samples/sec Train-top_k_accuracy_5=0.544766 | |
| INFO:root:Epoch[3] Batch [250] Speed: 116.63 samples/sec Train-accuracy=0.303281 | |
| INFO:root:Epoch[3] Batch [250] Speed: 116.63 samples/sec Train-top_k_accuracy_5=0.551250 | |
| INFO:root:Epoch[3] Batch [300] Speed: 117.15 samples/sec Train-accuracy=0.307969 | |
| INFO:root:Epoch[3] Batch [300] Speed: 117.15 samples/sec Train-top_k_accuracy_5=0.554609 | |
| INFO:root:Epoch[3] Batch [350] Speed: 117.12 samples/sec Train-accuracy=0.309609 | |
| INFO:root:Epoch[3] Batch [350] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.556016 | |
| INFO:root:Epoch[3] Batch [400] Speed: 116.72 samples/sec Train-accuracy=0.305312 | |
| INFO:root:Epoch[3] Batch [400] Speed: 116.72 samples/sec Train-top_k_accuracy_5=0.545937 | |
| INFO:root:Epoch[3] Batch [450] Speed: 116.84 samples/sec Train-accuracy=0.304453 | |
| INFO:root:Epoch[3] Batch [450] Speed: 116.84 samples/sec Train-top_k_accuracy_5=0.554453 | |
| INFO:root:Epoch[3] Batch [500] Speed: 117.52 samples/sec Train-accuracy=0.319375 | |
| INFO:root:Epoch[3] Batch [500] Speed: 117.52 samples/sec Train-top_k_accuracy_5=0.562031 | |
| INFO:root:Epoch[3] Batch [550] Speed: 117.14 samples/sec Train-accuracy=0.312969 | |
| INFO:root:Epoch[3] Batch [550] Speed: 117.14 samples/sec Train-top_k_accuracy_5=0.551953 | |
| INFO:root:Epoch[3] Batch [600] Speed: 117.12 samples/sec Train-accuracy=0.303594 | |
| INFO:root:Epoch[3] Batch [600] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.553672 | |
| INFO:root:Epoch[3] Batch [650] Speed: 117.35 samples/sec Train-accuracy=0.314844 | |
| INFO:root:Epoch[3] Batch [650] Speed: 117.35 samples/sec Train-top_k_accuracy_5=0.555156 | |
| INFO:root:Epoch[3] Batch [700] Speed: 117.12 samples/sec Train-accuracy=0.312500 | |
| INFO:root:Epoch[3] Batch [700] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.550625 | |
| INFO:root:Epoch[3] Batch [750] Speed: 117.58 samples/sec Train-accuracy=0.312969 | |
| INFO:root:Epoch[3] Batch [750] Speed: 117.58 samples/sec Train-top_k_accuracy_5=0.556641 | |
| INFO:root:Epoch[3] Batch [800] Speed: 118.13 samples/sec Train-accuracy=0.312969 | |
| INFO:root:Epoch[3] Batch [800] Speed: 118.13 samples/sec Train-top_k_accuracy_5=0.557813 | |
| INFO:root:Epoch[3] Batch [850] Speed: 118.06 samples/sec Train-accuracy=0.311719 | |
| INFO:root:Epoch[3] Batch [850] Speed: 118.06 samples/sec Train-top_k_accuracy_5=0.554688 | |
| INFO:root:Epoch[3] Batch [900] Speed: 117.00 samples/sec Train-accuracy=0.314375 | |
| INFO:root:Epoch[3] Batch [900] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.557969 | |
| INFO:root:Epoch[3] Batch [950] Speed: 116.36 samples/sec Train-accuracy=0.322422 | |
| INFO:root:Epoch[3] Batch [950] Speed: 116.36 samples/sec Train-top_k_accuracy_5=0.562500 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 116.83 samples/sec Train-accuracy=0.316797 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 116.83 samples/sec Train-top_k_accuracy_5=0.566250 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 116.94 samples/sec Train-accuracy=0.311328 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 116.94 samples/sec Train-top_k_accuracy_5=0.558750 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 117.81 samples/sec Train-accuracy=0.316016 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 117.81 samples/sec Train-top_k_accuracy_5=0.568984 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 117.62 samples/sec Train-accuracy=0.317188 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 117.62 samples/sec Train-top_k_accuracy_5=0.560469 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 117.54 samples/sec Train-accuracy=0.322344 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 117.54 samples/sec Train-top_k_accuracy_5=0.564688 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 117.10 samples/sec Train-accuracy=0.322344 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.560312 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 116.54 samples/sec Train-accuracy=0.318359 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.569375 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 116.23 samples/sec Train-accuracy=0.320859 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 116.23 samples/sec Train-top_k_accuracy_5=0.567422 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 118.21 samples/sec Train-accuracy=0.324609 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 118.21 samples/sec Train-top_k_accuracy_5=0.566250 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 118.94 samples/sec Train-accuracy=0.326094 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 118.94 samples/sec Train-top_k_accuracy_5=0.575781 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 118.54 samples/sec Train-accuracy=0.324844 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 118.54 samples/sec Train-top_k_accuracy_5=0.565859 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 117.43 samples/sec Train-accuracy=0.327500 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 117.43 samples/sec Train-top_k_accuracy_5=0.574141 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 116.47 samples/sec Train-accuracy=0.330703 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.574297 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 117.96 samples/sec Train-accuracy=0.328672 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 117.96 samples/sec Train-top_k_accuracy_5=0.569297 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 117.68 samples/sec Train-accuracy=0.322422 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 117.68 samples/sec Train-top_k_accuracy_5=0.569766 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 116.86 samples/sec Train-accuracy=0.326484 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.571172 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 116.47 samples/sec Train-accuracy=0.323906 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.572891 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 116.80 samples/sec Train-accuracy=0.328359 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 116.80 samples/sec Train-top_k_accuracy_5=0.576953 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 116.77 samples/sec Train-accuracy=0.328047 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 116.77 samples/sec Train-top_k_accuracy_5=0.577891 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 116.32 samples/sec Train-accuracy=0.330000 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 116.32 samples/sec Train-top_k_accuracy_5=0.577969 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 116.72 samples/sec Train-accuracy=0.334766 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 116.72 samples/sec Train-top_k_accuracy_5=0.576641 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 117.10 samples/sec Train-accuracy=0.325625 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.572734 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 117.63 samples/sec Train-accuracy=0.331953 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.578203 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 116.12 samples/sec Train-accuracy=0.332422 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 116.12 samples/sec Train-top_k_accuracy_5=0.580313 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 116.93 samples/sec Train-accuracy=0.334062 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 116.93 samples/sec Train-top_k_accuracy_5=0.579219 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 116.73 samples/sec Train-accuracy=0.334688 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 116.73 samples/sec Train-top_k_accuracy_5=0.573984 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 116.28 samples/sec Train-accuracy=0.330859 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 116.28 samples/sec Train-top_k_accuracy_5=0.580859 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 116.89 samples/sec Train-accuracy=0.325625 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 116.89 samples/sec Train-top_k_accuracy_5=0.575156 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 116.66 samples/sec Train-accuracy=0.333516 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 116.66 samples/sec Train-top_k_accuracy_5=0.576797 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 117.33 samples/sec Train-accuracy=0.331797 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 117.33 samples/sec Train-top_k_accuracy_5=0.580937 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 117.46 samples/sec Train-accuracy=0.337969 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 117.46 samples/sec Train-top_k_accuracy_5=0.573438 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 117.12 samples/sec Train-accuracy=0.332031 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.581094 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 117.68 samples/sec Train-accuracy=0.330000 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 117.68 samples/sec Train-top_k_accuracy_5=0.578125 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 117.05 samples/sec Train-accuracy=0.333672 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 117.05 samples/sec Train-top_k_accuracy_5=0.575000 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 117.89 samples/sec Train-accuracy=0.331953 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 117.89 samples/sec Train-top_k_accuracy_5=0.584219 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 116.46 samples/sec Train-accuracy=0.338125 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.583125 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 116.86 samples/sec Train-accuracy=0.341875 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.586406 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 116.46 samples/sec Train-accuracy=0.337578 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.586172 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 116.06 samples/sec Train-accuracy=0.329297 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 116.06 samples/sec Train-top_k_accuracy_5=0.579844 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 116.69 samples/sec Train-accuracy=0.316641 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 116.69 samples/sec Train-top_k_accuracy_5=0.559531 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 116.71 samples/sec Train-accuracy=0.327891 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 116.71 samples/sec Train-top_k_accuracy_5=0.574844 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 116.92 samples/sec Train-accuracy=0.328672 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 116.92 samples/sec Train-top_k_accuracy_5=0.577891 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 116.85 samples/sec Train-accuracy=0.337422 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 116.85 samples/sec Train-top_k_accuracy_5=0.588750 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 116.90 samples/sec Train-accuracy=0.336250 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.582812 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 117.20 samples/sec Train-accuracy=0.340703 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 117.20 samples/sec Train-top_k_accuracy_5=0.589297 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 117.14 samples/sec Train-accuracy=0.335234 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 117.14 samples/sec Train-top_k_accuracy_5=0.581484 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 116.91 samples/sec Train-accuracy=0.334062 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 116.91 samples/sec Train-top_k_accuracy_5=0.586250 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 117.17 samples/sec Train-accuracy=0.334141 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 117.17 samples/sec Train-top_k_accuracy_5=0.582812 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 116.62 samples/sec Train-accuracy=0.341094 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.589766 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 117.26 samples/sec Train-accuracy=0.327656 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 117.26 samples/sec Train-top_k_accuracy_5=0.573672 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 117.15 samples/sec Train-accuracy=0.345000 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 117.15 samples/sec Train-top_k_accuracy_5=0.589531 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 116.26 samples/sec Train-accuracy=0.348984 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 116.26 samples/sec Train-top_k_accuracy_5=0.586797 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 117.22 samples/sec Train-accuracy=0.346484 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 117.22 samples/sec Train-top_k_accuracy_5=0.590703 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 116.42 samples/sec Train-accuracy=0.348828 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 116.42 samples/sec Train-top_k_accuracy_5=0.589844 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 116.96 samples/sec Train-accuracy=0.346641 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 116.96 samples/sec Train-top_k_accuracy_5=0.589453 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 116.73 samples/sec Train-accuracy=0.339375 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 116.73 samples/sec Train-top_k_accuracy_5=0.585469 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 116.49 samples/sec Train-accuracy=0.339687 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 116.49 samples/sec Train-top_k_accuracy_5=0.592891 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 117.23 samples/sec Train-accuracy=0.350469 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 117.23 samples/sec Train-top_k_accuracy_5=0.593125 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 117.78 samples/sec Train-accuracy=0.356328 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 117.78 samples/sec Train-top_k_accuracy_5=0.600234 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 118.97 samples/sec Train-accuracy=0.346016 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 118.97 samples/sec Train-top_k_accuracy_5=0.589922 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 119.00 samples/sec Train-accuracy=0.336406 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 119.00 samples/sec Train-top_k_accuracy_5=0.589844 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 118.74 samples/sec Train-accuracy=0.348047 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 118.74 samples/sec Train-top_k_accuracy_5=0.597734 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 118.95 samples/sec Train-accuracy=0.341406 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 118.95 samples/sec Train-top_k_accuracy_5=0.594922 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 119.37 samples/sec Train-accuracy=0.353672 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 119.37 samples/sec Train-top_k_accuracy_5=0.602109 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 119.03 samples/sec Train-accuracy=0.347969 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 119.03 samples/sec Train-top_k_accuracy_5=0.591797 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 118.59 samples/sec Train-accuracy=0.351641 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 118.59 samples/sec Train-top_k_accuracy_5=0.594844 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 118.92 samples/sec Train-accuracy=0.351875 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 118.92 samples/sec Train-top_k_accuracy_5=0.598906 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 119.23 samples/sec Train-accuracy=0.348359 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 119.23 samples/sec Train-top_k_accuracy_5=0.595391 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 118.15 samples/sec Train-accuracy=0.348984 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 118.15 samples/sec Train-top_k_accuracy_5=0.594375 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 118.76 samples/sec Train-accuracy=0.354297 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 118.76 samples/sec Train-top_k_accuracy_5=0.598906 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 118.35 samples/sec Train-accuracy=0.349844 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 118.35 samples/sec Train-top_k_accuracy_5=0.596016 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 118.42 samples/sec Train-accuracy=0.357969 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 118.42 samples/sec Train-top_k_accuracy_5=0.603672 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 118.47 samples/sec Train-accuracy=0.353984 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 118.47 samples/sec Train-top_k_accuracy_5=0.600703 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 117.32 samples/sec Train-accuracy=0.351016 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 117.32 samples/sec Train-top_k_accuracy_5=0.593984 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 117.39 samples/sec Train-accuracy=0.349609 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 117.39 samples/sec Train-top_k_accuracy_5=0.599297 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 117.98 samples/sec Train-accuracy=0.346172 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 117.98 samples/sec Train-top_k_accuracy_5=0.585859 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 117.88 samples/sec Train-accuracy=0.355078 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 117.88 samples/sec Train-top_k_accuracy_5=0.598125 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 118.41 samples/sec Train-accuracy=0.352422 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 118.41 samples/sec Train-top_k_accuracy_5=0.602812 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 117.54 samples/sec Train-accuracy=0.357812 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 117.54 samples/sec Train-top_k_accuracy_5=0.600547 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 117.70 samples/sec Train-accuracy=0.354453 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 117.70 samples/sec Train-top_k_accuracy_5=0.599063 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 117.83 samples/sec Train-accuracy=0.363281 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 117.83 samples/sec Train-top_k_accuracy_5=0.605078 | |
| INFO:root:Epoch[3] Resetting Data Iterator | |
| INFO:root:Epoch[3] Time cost=10917.322 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0004.params" | |
| INFO:root:Epoch[3] Validation-accuracy=0.409897 | |
| INFO:root:Epoch[3] Validation-top_k_accuracy_5=0.678452 | |
| INFO:root:Epoch[4] Batch [50] Speed: 119.70 samples/sec Train-accuracy=0.358906 | |
| INFO:root:Epoch[4] Batch [50] Speed: 119.70 samples/sec Train-top_k_accuracy_5=0.608203 | |
| INFO:root:Epoch[4] Batch [100] Speed: 117.51 samples/sec Train-accuracy=0.354766 | |
| INFO:root:Epoch[4] Batch [100] Speed: 117.51 samples/sec Train-top_k_accuracy_5=0.603125 | |
| INFO:root:Epoch[4] Batch [150] Speed: 117.31 samples/sec Train-accuracy=0.352578 | |
| INFO:root:Epoch[4] Batch [150] Speed: 117.31 samples/sec Train-top_k_accuracy_5=0.603281 | |
| INFO:root:Epoch[4] Batch [200] Speed: 118.15 samples/sec Train-accuracy=0.360391 | |
| INFO:root:Epoch[4] Batch [200] Speed: 118.15 samples/sec Train-top_k_accuracy_5=0.611875 | |
| INFO:root:Epoch[4] Batch [250] Speed: 118.00 samples/sec Train-accuracy=0.351172 | |
| INFO:root:Epoch[4] Batch [250] Speed: 118.00 samples/sec Train-top_k_accuracy_5=0.605938 | |
| INFO:root:Epoch[4] Batch [300] Speed: 117.54 samples/sec Train-accuracy=0.360391 | |
| INFO:root:Epoch[4] Batch [300] Speed: 117.54 samples/sec Train-top_k_accuracy_5=0.602656 | |
| INFO:root:Epoch[4] Batch [350] Speed: 115.88 samples/sec Train-accuracy=0.357109 | |
| INFO:root:Epoch[4] Batch [350] Speed: 115.88 samples/sec Train-top_k_accuracy_5=0.608125 | |
| INFO:root:Epoch[4] Batch [400] Speed: 116.37 samples/sec Train-accuracy=0.363984 | |
| INFO:root:Epoch[4] Batch [400] Speed: 116.37 samples/sec Train-top_k_accuracy_5=0.614062 | |
| INFO:root:Epoch[4] Batch [450] Speed: 116.92 samples/sec Train-accuracy=0.354844 | |
| INFO:root:Epoch[4] Batch [450] Speed: 116.92 samples/sec Train-top_k_accuracy_5=0.606875 | |
| INFO:root:Epoch[4] Batch [500] Speed: 116.99 samples/sec Train-accuracy=0.360234 | |
| INFO:root:Epoch[4] Batch [500] Speed: 116.99 samples/sec Train-top_k_accuracy_5=0.605234 | |
| INFO:root:Epoch[4] Batch [550] Speed: 116.58 samples/sec Train-accuracy=0.360156 | |
| INFO:root:Epoch[4] Batch [550] Speed: 116.58 samples/sec Train-top_k_accuracy_5=0.608750 | |
| INFO:root:Epoch[4] Batch [600] Speed: 117.03 samples/sec Train-accuracy=0.352656 | |
| INFO:root:Epoch[4] Batch [600] Speed: 117.03 samples/sec Train-top_k_accuracy_5=0.599141 | |
| INFO:root:Epoch[4] Batch [650] Speed: 116.62 samples/sec Train-accuracy=0.357969 | |
| INFO:root:Epoch[4] Batch [650] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.605391 | |
| INFO:root:Epoch[4] Batch [700] Speed: 116.30 samples/sec Train-accuracy=0.359297 | |
| INFO:root:Epoch[4] Batch [700] Speed: 116.30 samples/sec Train-top_k_accuracy_5=0.604922 | |
| INFO:root:Epoch[4] Batch [750] Speed: 115.31 samples/sec Train-accuracy=0.361563 | |
| INFO:root:Epoch[4] Batch [750] Speed: 115.31 samples/sec Train-top_k_accuracy_5=0.609219 | |
| INFO:root:Epoch[4] Batch [800] Speed: 116.79 samples/sec Train-accuracy=0.361797 | |
| INFO:root:Epoch[4] Batch [800] Speed: 116.79 samples/sec Train-top_k_accuracy_5=0.606172 | |
| INFO:root:Epoch[4] Batch [850] Speed: 117.10 samples/sec Train-accuracy=0.354219 | |
| INFO:root:Epoch[4] Batch [850] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.605547 | |
| INFO:root:Epoch[4] Batch [900] Speed: 116.89 samples/sec Train-accuracy=0.364297 | |
| INFO:root:Epoch[4] Batch [900] Speed: 116.89 samples/sec Train-top_k_accuracy_5=0.607500 | |
| INFO:root:Epoch[4] Batch [950] Speed: 117.29 samples/sec Train-accuracy=0.363125 | |
| INFO:root:Epoch[4] Batch [950] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.609766 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 118.34 samples/sec Train-accuracy=0.362500 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 118.34 samples/sec Train-top_k_accuracy_5=0.617422 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 118.81 samples/sec Train-accuracy=0.366250 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 118.81 samples/sec Train-top_k_accuracy_5=0.610938 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 118.44 samples/sec Train-accuracy=0.365312 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 118.44 samples/sec Train-top_k_accuracy_5=0.619219 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 118.59 samples/sec Train-accuracy=0.363750 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 118.59 samples/sec Train-top_k_accuracy_5=0.610547 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 118.43 samples/sec Train-accuracy=0.366641 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 118.43 samples/sec Train-top_k_accuracy_5=0.611719 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 117.70 samples/sec Train-accuracy=0.359922 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 117.70 samples/sec Train-top_k_accuracy_5=0.611172 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 118.03 samples/sec Train-accuracy=0.363594 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 118.03 samples/sec Train-top_k_accuracy_5=0.612656 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 118.26 samples/sec Train-accuracy=0.360234 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 118.26 samples/sec Train-top_k_accuracy_5=0.611797 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 118.24 samples/sec Train-accuracy=0.367812 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 118.24 samples/sec Train-top_k_accuracy_5=0.618516 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 118.47 samples/sec Train-accuracy=0.369844 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 118.47 samples/sec Train-top_k_accuracy_5=0.617969 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 117.75 samples/sec Train-accuracy=0.363594 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 117.75 samples/sec Train-top_k_accuracy_5=0.614531 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 117.06 samples/sec Train-accuracy=0.372969 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 117.06 samples/sec Train-top_k_accuracy_5=0.625625 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 116.73 samples/sec Train-accuracy=0.374766 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 116.73 samples/sec Train-top_k_accuracy_5=0.613437 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 116.50 samples/sec Train-accuracy=0.364297 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 116.50 samples/sec Train-top_k_accuracy_5=0.606641 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 116.70 samples/sec Train-accuracy=0.366016 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 116.70 samples/sec Train-top_k_accuracy_5=0.607891 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 115.64 samples/sec Train-accuracy=0.375000 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 115.64 samples/sec Train-top_k_accuracy_5=0.619922 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 115.58 samples/sec Train-accuracy=0.367031 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 115.58 samples/sec Train-top_k_accuracy_5=0.617422 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 115.99 samples/sec Train-accuracy=0.375156 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 115.99 samples/sec Train-top_k_accuracy_5=0.624375 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 115.44 samples/sec Train-accuracy=0.370937 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 115.44 samples/sec Train-top_k_accuracy_5=0.617578 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 117.67 samples/sec Train-accuracy=0.365781 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 117.67 samples/sec Train-top_k_accuracy_5=0.619219 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 117.12 samples/sec Train-accuracy=0.369141 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.615547 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 117.23 samples/sec Train-accuracy=0.366406 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 117.23 samples/sec Train-top_k_accuracy_5=0.619844 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 117.11 samples/sec Train-accuracy=0.365312 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 117.11 samples/sec Train-top_k_accuracy_5=0.620625 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 116.47 samples/sec Train-accuracy=0.372031 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.616094 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 116.89 samples/sec Train-accuracy=0.367969 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 116.89 samples/sec Train-top_k_accuracy_5=0.621016 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 116.72 samples/sec Train-accuracy=0.371797 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 116.72 samples/sec Train-top_k_accuracy_5=0.615547 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 116.38 samples/sec Train-accuracy=0.375703 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 116.38 samples/sec Train-top_k_accuracy_5=0.623516 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 117.30 samples/sec Train-accuracy=0.373125 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 117.30 samples/sec Train-top_k_accuracy_5=0.615781 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 117.05 samples/sec Train-accuracy=0.367734 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 117.05 samples/sec Train-top_k_accuracy_5=0.616328 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 116.75 samples/sec Train-accuracy=0.371563 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 116.75 samples/sec Train-top_k_accuracy_5=0.617734 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 116.90 samples/sec Train-accuracy=0.371250 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.618516 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 116.98 samples/sec Train-accuracy=0.375781 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.625547 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 116.82 samples/sec Train-accuracy=0.369922 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 116.82 samples/sec Train-top_k_accuracy_5=0.621797 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 116.76 samples/sec Train-accuracy=0.378828 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 116.76 samples/sec Train-top_k_accuracy_5=0.625391 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 117.29 samples/sec Train-accuracy=0.370547 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.620469 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 117.81 samples/sec Train-accuracy=0.374453 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 117.81 samples/sec Train-top_k_accuracy_5=0.625625 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 117.64 samples/sec Train-accuracy=0.380234 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 117.64 samples/sec Train-top_k_accuracy_5=0.626484 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 118.20 samples/sec Train-accuracy=0.375469 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 118.20 samples/sec Train-top_k_accuracy_5=0.625078 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 117.57 samples/sec Train-accuracy=0.374922 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 117.57 samples/sec Train-top_k_accuracy_5=0.630703 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 116.98 samples/sec Train-accuracy=0.380312 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 116.98 samples/sec Train-top_k_accuracy_5=0.624844 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 117.86 samples/sec Train-accuracy=0.379766 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 117.86 samples/sec Train-top_k_accuracy_5=0.627109 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 117.54 samples/sec Train-accuracy=0.378437 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 117.54 samples/sec Train-top_k_accuracy_5=0.629687 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 118.07 samples/sec Train-accuracy=0.376953 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 118.07 samples/sec Train-top_k_accuracy_5=0.622734 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 117.85 samples/sec Train-accuracy=0.374219 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 117.85 samples/sec Train-top_k_accuracy_5=0.621563 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 118.02 samples/sec Train-accuracy=0.385469 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 118.02 samples/sec Train-top_k_accuracy_5=0.629922 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 118.21 samples/sec Train-accuracy=0.371172 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 118.21 samples/sec Train-top_k_accuracy_5=0.624219 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 117.88 samples/sec Train-accuracy=0.381094 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 117.88 samples/sec Train-top_k_accuracy_5=0.629922 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 116.89 samples/sec Train-accuracy=0.377031 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 116.89 samples/sec Train-top_k_accuracy_5=0.625078 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 117.02 samples/sec Train-accuracy=0.378750 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 117.02 samples/sec Train-top_k_accuracy_5=0.631172 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 117.02 samples/sec Train-accuracy=0.378750 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 117.02 samples/sec Train-top_k_accuracy_5=0.627188 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 117.57 samples/sec Train-accuracy=0.386172 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 117.57 samples/sec Train-top_k_accuracy_5=0.630859 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 116.76 samples/sec Train-accuracy=0.381797 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 116.76 samples/sec Train-top_k_accuracy_5=0.631563 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 116.56 samples/sec Train-accuracy=0.383281 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 116.56 samples/sec Train-top_k_accuracy_5=0.630625 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 117.13 samples/sec Train-accuracy=0.385937 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 117.13 samples/sec Train-top_k_accuracy_5=0.634453 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 117.27 samples/sec Train-accuracy=0.383125 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 117.27 samples/sec Train-top_k_accuracy_5=0.627734 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 116.74 samples/sec Train-accuracy=0.374766 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 116.74 samples/sec Train-top_k_accuracy_5=0.628750 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 117.24 samples/sec Train-accuracy=0.374141 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 117.24 samples/sec Train-top_k_accuracy_5=0.628594 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 117.03 samples/sec Train-accuracy=0.385625 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 117.03 samples/sec Train-top_k_accuracy_5=0.634844 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 117.64 samples/sec Train-accuracy=0.389766 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 117.64 samples/sec Train-top_k_accuracy_5=0.640234 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 117.63 samples/sec Train-accuracy=0.379297 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.628125 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 117.56 samples/sec Train-accuracy=0.375547 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 117.56 samples/sec Train-top_k_accuracy_5=0.624687 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 117.12 samples/sec Train-accuracy=0.386406 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.633828 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 117.00 samples/sec Train-accuracy=0.386250 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.632656 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 118.03 samples/sec Train-accuracy=0.386172 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 118.03 samples/sec Train-top_k_accuracy_5=0.636328 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 118.27 samples/sec Train-accuracy=0.383281 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 118.27 samples/sec Train-top_k_accuracy_5=0.631641 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 118.13 samples/sec Train-accuracy=0.385234 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 118.13 samples/sec Train-top_k_accuracy_5=0.633516 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 118.27 samples/sec Train-accuracy=0.380156 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 118.27 samples/sec Train-top_k_accuracy_5=0.627266 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 118.63 samples/sec Train-accuracy=0.384453 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 118.63 samples/sec Train-top_k_accuracy_5=0.634141 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 118.31 samples/sec Train-accuracy=0.386797 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 118.31 samples/sec Train-top_k_accuracy_5=0.632891 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 118.57 samples/sec Train-accuracy=0.383516 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 118.57 samples/sec Train-top_k_accuracy_5=0.632969 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 117.38 samples/sec Train-accuracy=0.378750 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.629297 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 118.29 samples/sec Train-accuracy=0.386484 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 118.29 samples/sec Train-top_k_accuracy_5=0.633828 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 117.99 samples/sec Train-accuracy=0.387344 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 117.99 samples/sec Train-top_k_accuracy_5=0.638281 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 117.69 samples/sec Train-accuracy=0.381484 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 117.69 samples/sec Train-top_k_accuracy_5=0.631172 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 117.83 samples/sec Train-accuracy=0.387969 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 117.83 samples/sec Train-top_k_accuracy_5=0.641484 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 118.03 samples/sec Train-accuracy=0.382734 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 118.03 samples/sec Train-top_k_accuracy_5=0.633437 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 116.12 samples/sec Train-accuracy=0.383203 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 116.12 samples/sec Train-top_k_accuracy_5=0.630156 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 117.09 samples/sec Train-accuracy=0.380000 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 117.09 samples/sec Train-top_k_accuracy_5=0.637422 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 117.25 samples/sec Train-accuracy=0.386250 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 117.25 samples/sec Train-top_k_accuracy_5=0.632500 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 116.67 samples/sec Train-accuracy=0.380078 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 116.67 samples/sec Train-top_k_accuracy_5=0.629062 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 117.90 samples/sec Train-accuracy=0.383125 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 117.90 samples/sec Train-top_k_accuracy_5=0.638125 | |
| INFO:root:Epoch[4] Resetting Data Iterator | |
| INFO:root:Epoch[4] Time cost=10917.955 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0005.params" | |
| INFO:root:Epoch[4] Validation-accuracy=0.462034 | |
| INFO:root:Epoch[4] Validation-top_k_accuracy_5=0.727001 | |
| INFO:root:Epoch[5] Batch [50] Speed: 119.50 samples/sec Train-accuracy=0.393437 | |
| INFO:root:Epoch[5] Batch [50] Speed: 119.50 samples/sec Train-top_k_accuracy_5=0.642656 | |
| INFO:root:Epoch[5] Batch [100] Speed: 117.38 samples/sec Train-accuracy=0.387500 | |
| INFO:root:Epoch[5] Batch [100] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.632500 | |
| INFO:root:Epoch[5] Batch [150] Speed: 117.46 samples/sec Train-accuracy=0.386562 | |
| INFO:root:Epoch[5] Batch [150] Speed: 117.46 samples/sec Train-top_k_accuracy_5=0.634687 | |
| INFO:root:Epoch[5] Batch [200] Speed: 117.19 samples/sec Train-accuracy=0.387031 | |
| INFO:root:Epoch[5] Batch [200] Speed: 117.19 samples/sec Train-top_k_accuracy_5=0.637344 | |
| INFO:root:Epoch[5] Batch [250] Speed: 117.38 samples/sec Train-accuracy=0.385703 | |
| INFO:root:Epoch[5] Batch [250] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.638906 | |
| INFO:root:Epoch[5] Batch [300] Speed: 116.86 samples/sec Train-accuracy=0.388516 | |
| INFO:root:Epoch[5] Batch [300] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.638125 | |
| INFO:root:Epoch[5] Batch [350] Speed: 115.22 samples/sec Train-accuracy=0.394766 | |
| INFO:root:Epoch[5] Batch [350] Speed: 115.22 samples/sec Train-top_k_accuracy_5=0.643203 | |
| INFO:root:Epoch[5] Batch [400] Speed: 115.31 samples/sec Train-accuracy=0.390781 | |
| INFO:root:Epoch[5] Batch [400] Speed: 115.31 samples/sec Train-top_k_accuracy_5=0.644531 | |
| INFO:root:Epoch[5] Batch [450] Speed: 115.44 samples/sec Train-accuracy=0.385469 | |
| INFO:root:Epoch[5] Batch [450] Speed: 115.44 samples/sec Train-top_k_accuracy_5=0.638359 | |
| INFO:root:Epoch[5] Batch [500] Speed: 115.71 samples/sec Train-accuracy=0.388828 | |
| INFO:root:Epoch[5] Batch [500] Speed: 115.71 samples/sec Train-top_k_accuracy_5=0.634609 | |
| INFO:root:Epoch[5] Batch [550] Speed: 116.00 samples/sec Train-accuracy=0.387188 | |
| INFO:root:Epoch[5] Batch [550] Speed: 116.00 samples/sec Train-top_k_accuracy_5=0.631797 | |
| INFO:root:Epoch[5] Batch [600] Speed: 116.52 samples/sec Train-accuracy=0.386406 | |
| INFO:root:Epoch[5] Batch [600] Speed: 116.52 samples/sec Train-top_k_accuracy_5=0.636484 | |
| INFO:root:Epoch[5] Batch [650] Speed: 117.39 samples/sec Train-accuracy=0.394844 | |
| INFO:root:Epoch[5] Batch [650] Speed: 117.39 samples/sec Train-top_k_accuracy_5=0.640859 | |
| INFO:root:Epoch[5] Batch [700] Speed: 117.72 samples/sec Train-accuracy=0.389453 | |
| INFO:root:Epoch[5] Batch [700] Speed: 117.72 samples/sec Train-top_k_accuracy_5=0.641328 | |
| INFO:root:Epoch[5] Batch [750] Speed: 117.13 samples/sec Train-accuracy=0.393984 | |
| INFO:root:Epoch[5] Batch [750] Speed: 117.13 samples/sec Train-top_k_accuracy_5=0.636953 | |
| INFO:root:Epoch[5] Batch [800] Speed: 117.21 samples/sec Train-accuracy=0.387109 | |
| INFO:root:Epoch[5] Batch [800] Speed: 117.21 samples/sec Train-top_k_accuracy_5=0.644141 | |
| INFO:root:Epoch[5] Batch [850] Speed: 116.36 samples/sec Train-accuracy=0.384688 | |
| INFO:root:Epoch[5] Batch [850] Speed: 116.36 samples/sec Train-top_k_accuracy_5=0.639453 | |
| INFO:root:Epoch[5] Batch [900] Speed: 117.02 samples/sec Train-accuracy=0.393203 | |
| INFO:root:Epoch[5] Batch [900] Speed: 117.02 samples/sec Train-top_k_accuracy_5=0.638359 | |
| INFO:root:Epoch[5] Batch [950] Speed: 116.93 samples/sec Train-accuracy=0.394219 | |
| INFO:root:Epoch[5] Batch [950] Speed: 116.93 samples/sec Train-top_k_accuracy_5=0.643750 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 117.43 samples/sec Train-accuracy=0.388516 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 117.43 samples/sec Train-top_k_accuracy_5=0.637031 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 117.07 samples/sec Train-accuracy=0.390078 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 117.07 samples/sec Train-top_k_accuracy_5=0.641797 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 116.47 samples/sec Train-accuracy=0.398047 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 116.47 samples/sec Train-top_k_accuracy_5=0.646641 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 117.71 samples/sec Train-accuracy=0.388516 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 117.71 samples/sec Train-top_k_accuracy_5=0.639609 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 117.63 samples/sec Train-accuracy=0.392891 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 117.63 samples/sec Train-top_k_accuracy_5=0.641016 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 117.15 samples/sec Train-accuracy=0.390391 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 117.15 samples/sec Train-top_k_accuracy_5=0.641641 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 116.02 samples/sec Train-accuracy=0.392891 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 116.02 samples/sec Train-top_k_accuracy_5=0.637734 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 116.72 samples/sec Train-accuracy=0.394531 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 116.72 samples/sec Train-top_k_accuracy_5=0.644609 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 116.31 samples/sec Train-accuracy=0.400859 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 116.31 samples/sec Train-top_k_accuracy_5=0.651172 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 116.46 samples/sec Train-accuracy=0.402578 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 116.46 samples/sec Train-top_k_accuracy_5=0.647891 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 117.04 samples/sec Train-accuracy=0.400625 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 117.04 samples/sec Train-top_k_accuracy_5=0.648984 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 116.15 samples/sec Train-accuracy=0.401953 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 116.15 samples/sec Train-top_k_accuracy_5=0.652969 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 116.13 samples/sec Train-accuracy=0.397813 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 116.13 samples/sec Train-top_k_accuracy_5=0.644141 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 116.33 samples/sec Train-accuracy=0.401172 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 116.33 samples/sec Train-top_k_accuracy_5=0.644062 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 115.94 samples/sec Train-accuracy=0.392031 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 115.94 samples/sec Train-top_k_accuracy_5=0.643828 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 115.91 samples/sec Train-accuracy=0.398203 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 115.91 samples/sec Train-top_k_accuracy_5=0.638984 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 116.10 samples/sec Train-accuracy=0.399766 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 116.10 samples/sec Train-top_k_accuracy_5=0.648906 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 115.65 samples/sec Train-accuracy=0.395703 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 115.65 samples/sec Train-top_k_accuracy_5=0.645703 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 115.85 samples/sec Train-accuracy=0.399531 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 115.85 samples/sec Train-top_k_accuracy_5=0.648438 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 116.11 samples/sec Train-accuracy=0.398438 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 116.11 samples/sec Train-top_k_accuracy_5=0.642578 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 116.54 samples/sec Train-accuracy=0.397188 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 116.54 samples/sec Train-top_k_accuracy_5=0.645234 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 117.00 samples/sec Train-accuracy=0.395313 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.647734 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 117.24 samples/sec Train-accuracy=0.397578 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 117.24 samples/sec Train-top_k_accuracy_5=0.642422 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 117.19 samples/sec Train-accuracy=0.409531 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 117.19 samples/sec Train-top_k_accuracy_5=0.649844 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 116.95 samples/sec Train-accuracy=0.403594 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 116.95 samples/sec Train-top_k_accuracy_5=0.652422 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 117.13 samples/sec Train-accuracy=0.403984 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 117.13 samples/sec Train-top_k_accuracy_5=0.651250 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 117.17 samples/sec Train-accuracy=0.397500 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 117.17 samples/sec Train-top_k_accuracy_5=0.647656 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 116.97 samples/sec Train-accuracy=0.397891 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 116.97 samples/sec Train-top_k_accuracy_5=0.647031 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 116.81 samples/sec Train-accuracy=0.396016 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 116.81 samples/sec Train-top_k_accuracy_5=0.641563 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 116.91 samples/sec Train-accuracy=0.402578 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 116.91 samples/sec Train-top_k_accuracy_5=0.648047 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 116.40 samples/sec Train-accuracy=0.399844 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 116.40 samples/sec Train-top_k_accuracy_5=0.648828 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 117.29 samples/sec Train-accuracy=0.397344 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.646875 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 116.63 samples/sec Train-accuracy=0.395625 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 116.63 samples/sec Train-top_k_accuracy_5=0.645781 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 117.52 samples/sec Train-accuracy=0.406484 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 117.52 samples/sec Train-top_k_accuracy_5=0.653203 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 117.29 samples/sec Train-accuracy=0.402891 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.648281 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 117.08 samples/sec Train-accuracy=0.402187 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 117.08 samples/sec Train-top_k_accuracy_5=0.650234 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 116.62 samples/sec Train-accuracy=0.410391 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.655156 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 117.32 samples/sec Train-accuracy=0.400000 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 117.32 samples/sec Train-top_k_accuracy_5=0.648516 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 116.80 samples/sec Train-accuracy=0.399766 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 116.80 samples/sec Train-top_k_accuracy_5=0.653750 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 117.10 samples/sec Train-accuracy=0.409922 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 117.10 samples/sec Train-top_k_accuracy_5=0.651406 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 117.71 samples/sec Train-accuracy=0.406406 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 117.71 samples/sec Train-top_k_accuracy_5=0.652422 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 117.13 samples/sec Train-accuracy=0.396719 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 117.13 samples/sec Train-top_k_accuracy_5=0.647266 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 117.16 samples/sec Train-accuracy=0.405313 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 117.16 samples/sec Train-top_k_accuracy_5=0.652109 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 117.06 samples/sec Train-accuracy=0.410000 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 117.06 samples/sec Train-top_k_accuracy_5=0.654219 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 116.38 samples/sec Train-accuracy=0.407109 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 116.38 samples/sec Train-top_k_accuracy_5=0.656875 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 117.74 samples/sec Train-accuracy=0.397578 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 117.74 samples/sec Train-top_k_accuracy_5=0.642422 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 118.14 samples/sec Train-accuracy=0.404062 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 118.14 samples/sec Train-top_k_accuracy_5=0.650078 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 117.77 samples/sec Train-accuracy=0.403359 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 117.77 samples/sec Train-top_k_accuracy_5=0.644844 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 117.68 samples/sec Train-accuracy=0.404453 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 117.68 samples/sec Train-top_k_accuracy_5=0.656484 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 118.14 samples/sec Train-accuracy=0.397422 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 118.14 samples/sec Train-top_k_accuracy_5=0.644609 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 118.42 samples/sec Train-accuracy=0.401250 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 118.42 samples/sec Train-top_k_accuracy_5=0.651484 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 118.28 samples/sec Train-accuracy=0.406250 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 118.28 samples/sec Train-top_k_accuracy_5=0.653438 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 118.33 samples/sec Train-accuracy=0.402813 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 118.33 samples/sec Train-top_k_accuracy_5=0.654687 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 118.94 samples/sec Train-accuracy=0.402344 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 118.94 samples/sec Train-top_k_accuracy_5=0.655234 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 118.36 samples/sec Train-accuracy=0.415469 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 118.36 samples/sec Train-top_k_accuracy_5=0.657891 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 118.46 samples/sec Train-accuracy=0.404297 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 118.46 samples/sec Train-top_k_accuracy_5=0.647188 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 118.04 samples/sec Train-accuracy=0.402813 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 118.04 samples/sec Train-top_k_accuracy_5=0.650547 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 118.06 samples/sec Train-accuracy=0.409609 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 118.06 samples/sec Train-top_k_accuracy_5=0.648516 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 118.98 samples/sec Train-accuracy=0.412500 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 118.98 samples/sec Train-top_k_accuracy_5=0.659297 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 118.31 samples/sec Train-accuracy=0.405703 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 118.31 samples/sec Train-top_k_accuracy_5=0.654531 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 117.35 samples/sec Train-accuracy=0.398281 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 117.35 samples/sec Train-top_k_accuracy_5=0.651016 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 117.25 samples/sec Train-accuracy=0.408750 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 117.25 samples/sec Train-top_k_accuracy_5=0.651641 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 116.90 samples/sec Train-accuracy=0.406172 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.654375 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 116.94 samples/sec Train-accuracy=0.407578 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 116.94 samples/sec Train-top_k_accuracy_5=0.660078 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 116.57 samples/sec Train-accuracy=0.405625 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 116.57 samples/sec Train-top_k_accuracy_5=0.653594 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 117.77 samples/sec Train-accuracy=0.409609 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 117.77 samples/sec Train-top_k_accuracy_5=0.652734 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 117.57 samples/sec Train-accuracy=0.407500 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 117.57 samples/sec Train-top_k_accuracy_5=0.653906 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 117.49 samples/sec Train-accuracy=0.405703 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 117.49 samples/sec Train-top_k_accuracy_5=0.653047 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 117.69 samples/sec Train-accuracy=0.402031 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 117.69 samples/sec Train-top_k_accuracy_5=0.657734 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 118.84 samples/sec Train-accuracy=0.403984 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 118.84 samples/sec Train-top_k_accuracy_5=0.651406 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 117.11 samples/sec Train-accuracy=0.408750 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 117.11 samples/sec Train-top_k_accuracy_5=0.657578 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 118.55 samples/sec Train-accuracy=0.400078 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 118.55 samples/sec Train-top_k_accuracy_5=0.654844 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 118.16 samples/sec Train-accuracy=0.409453 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 118.16 samples/sec Train-top_k_accuracy_5=0.660078 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 117.92 samples/sec Train-accuracy=0.402344 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 117.92 samples/sec Train-top_k_accuracy_5=0.650937 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 118.39 samples/sec Train-accuracy=0.401172 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 118.39 samples/sec Train-top_k_accuracy_5=0.653672 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 118.29 samples/sec Train-accuracy=0.400703 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 118.29 samples/sec Train-top_k_accuracy_5=0.652656 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 118.10 samples/sec Train-accuracy=0.411953 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 118.10 samples/sec Train-top_k_accuracy_5=0.648359 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 118.24 samples/sec Train-accuracy=0.410547 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 118.24 samples/sec Train-top_k_accuracy_5=0.660547 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 118.45 samples/sec Train-accuracy=0.405859 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 118.45 samples/sec Train-top_k_accuracy_5=0.657891 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 118.32 samples/sec Train-accuracy=0.403438 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 118.32 samples/sec Train-top_k_accuracy_5=0.655547 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 118.79 samples/sec Train-accuracy=0.407578 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 118.79 samples/sec Train-top_k_accuracy_5=0.656875 | |
| INFO:root:Epoch[5] Resetting Data Iterator | |
| INFO:root:Epoch[5] Time cost=10930.347 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0006.params" | |
| INFO:root:Epoch[5] Validation-accuracy=0.468172 | |
| INFO:root:Epoch[5] Validation-top_k_accuracy_5=0.732761 | |
| INFO:root:Epoch[6] Batch [50] Speed: 120.38 samples/sec Train-accuracy=0.415156 | |
| INFO:root:Epoch[6] Batch [50] Speed: 120.38 samples/sec Train-top_k_accuracy_5=0.659062 | |
| INFO:root:Epoch[6] Batch [100] Speed: 117.38 samples/sec Train-accuracy=0.411250 | |
| INFO:root:Epoch[6] Batch [100] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.654062 | |
| INFO:root:Epoch[6] Batch [150] Speed: 117.79 samples/sec Train-accuracy=0.413516 | |
| INFO:root:Epoch[6] Batch [150] Speed: 117.79 samples/sec Train-top_k_accuracy_5=0.656328 | |
| INFO:root:Epoch[6] Batch [200] Speed: 117.25 samples/sec Train-accuracy=0.407031 | |
| INFO:root:Epoch[6] Batch [200] Speed: 117.25 samples/sec Train-top_k_accuracy_5=0.652891 | |
| INFO:root:Epoch[6] Batch [250] Speed: 117.70 samples/sec Train-accuracy=0.403281 | |
| INFO:root:Epoch[6] Batch [250] Speed: 117.70 samples/sec Train-top_k_accuracy_5=0.654297 | |
| INFO:root:Epoch[6] Batch [300] Speed: 118.03 samples/sec Train-accuracy=0.416094 | |
| INFO:root:Epoch[6] Batch [300] Speed: 118.03 samples/sec Train-top_k_accuracy_5=0.666172 | |
| INFO:root:Epoch[6] Batch [350] Speed: 117.86 samples/sec Train-accuracy=0.410547 | |
| INFO:root:Epoch[6] Batch [350] Speed: 117.86 samples/sec Train-top_k_accuracy_5=0.658516 | |
| INFO:root:Epoch[6] Batch [400] Speed: 116.69 samples/sec Train-accuracy=0.412969 | |
| INFO:root:Epoch[6] Batch [400] Speed: 116.69 samples/sec Train-top_k_accuracy_5=0.662109 | |
| INFO:root:Epoch[6] Batch [450] Speed: 117.28 samples/sec Train-accuracy=0.413672 | |
| INFO:root:Epoch[6] Batch [450] Speed: 117.28 samples/sec Train-top_k_accuracy_5=0.656250 | |
| INFO:root:Epoch[6] Batch [500] Speed: 117.92 samples/sec Train-accuracy=0.413203 | |
| INFO:root:Epoch[6] Batch [500] Speed: 117.92 samples/sec Train-top_k_accuracy_5=0.659922 | |
| INFO:root:Epoch[6] Batch [550] Speed: 117.85 samples/sec Train-accuracy=0.411953 | |
| INFO:root:Epoch[6] Batch [550] Speed: 117.85 samples/sec Train-top_k_accuracy_5=0.656797 | |
| INFO:root:Epoch[6] Batch [600] Speed: 117.76 samples/sec Train-accuracy=0.412891 | |
| INFO:root:Epoch[6] Batch [600] Speed: 117.76 samples/sec Train-top_k_accuracy_5=0.665312 | |
| INFO:root:Epoch[6] Batch [650] Speed: 118.11 samples/sec Train-accuracy=0.406562 | |
| INFO:root:Epoch[6] Batch [650] Speed: 118.11 samples/sec Train-top_k_accuracy_5=0.660234 | |
| INFO:root:Epoch[6] Batch [700] Speed: 118.09 samples/sec Train-accuracy=0.409844 | |
| INFO:root:Epoch[6] Batch [700] Speed: 118.09 samples/sec Train-top_k_accuracy_5=0.657891 | |
| INFO:root:Epoch[6] Batch [750] Speed: 117.38 samples/sec Train-accuracy=0.413984 | |
| INFO:root:Epoch[6] Batch [750] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.658438 | |
| INFO:root:Epoch[6] Batch [800] Speed: 118.01 samples/sec Train-accuracy=0.401953 | |
| INFO:root:Epoch[6] Batch [800] Speed: 118.01 samples/sec Train-top_k_accuracy_5=0.650547 | |
| INFO:root:Epoch[6] Batch [850] Speed: 117.55 samples/sec Train-accuracy=0.415234 | |
| INFO:root:Epoch[6] Batch [850] Speed: 117.55 samples/sec Train-top_k_accuracy_5=0.657500 | |
| INFO:root:Epoch[6] Batch [900] Speed: 118.15 samples/sec Train-accuracy=0.418125 | |
| INFO:root:Epoch[6] Batch [900] Speed: 118.15 samples/sec Train-top_k_accuracy_5=0.664766 | |
| INFO:root:Epoch[6] Batch [950] Speed: 118.11 samples/sec Train-accuracy=0.410156 | |
| INFO:root:Epoch[6] Batch [950] Speed: 118.11 samples/sec Train-top_k_accuracy_5=0.660859 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 118.02 samples/sec Train-accuracy=0.414375 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 118.02 samples/sec Train-top_k_accuracy_5=0.664531 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 118.01 samples/sec Train-accuracy=0.415703 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 118.01 samples/sec Train-top_k_accuracy_5=0.657891 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 117.45 samples/sec Train-accuracy=0.417031 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 117.45 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 116.10 samples/sec Train-accuracy=0.409687 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 116.10 samples/sec Train-top_k_accuracy_5=0.655703 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 117.00 samples/sec Train-accuracy=0.411953 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.663828 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 116.62 samples/sec Train-accuracy=0.410625 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 116.62 samples/sec Train-top_k_accuracy_5=0.659766 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 116.10 samples/sec Train-accuracy=0.420078 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 116.10 samples/sec Train-top_k_accuracy_5=0.663672 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 116.15 samples/sec Train-accuracy=0.406406 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 116.15 samples/sec Train-top_k_accuracy_5=0.658281 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 116.68 samples/sec Train-accuracy=0.423672 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 116.68 samples/sec Train-top_k_accuracy_5=0.664141 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 117.32 samples/sec Train-accuracy=0.419453 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 117.32 samples/sec Train-top_k_accuracy_5=0.669687 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 116.90 samples/sec Train-accuracy=0.411016 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.661328 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 116.49 samples/sec Train-accuracy=0.423203 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 116.49 samples/sec Train-top_k_accuracy_5=0.672422 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 118.87 samples/sec Train-accuracy=0.416406 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 118.87 samples/sec Train-top_k_accuracy_5=0.667656 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 118.82 samples/sec Train-accuracy=0.414453 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 118.82 samples/sec Train-top_k_accuracy_5=0.661641 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 115.72 samples/sec Train-accuracy=0.408438 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 115.72 samples/sec Train-top_k_accuracy_5=0.658672 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 115.08 samples/sec Train-accuracy=0.419531 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 115.08 samples/sec Train-top_k_accuracy_5=0.666797 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 115.66 samples/sec Train-accuracy=0.408672 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 115.66 samples/sec Train-top_k_accuracy_5=0.661016 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 115.56 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 115.56 samples/sec Train-top_k_accuracy_5=0.663984 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 115.04 samples/sec Train-accuracy=0.413984 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 115.04 samples/sec Train-top_k_accuracy_5=0.673125 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 114.98 samples/sec Train-accuracy=0.424141 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 114.98 samples/sec Train-top_k_accuracy_5=0.664141 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 115.14 samples/sec Train-accuracy=0.418203 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 115.14 samples/sec Train-top_k_accuracy_5=0.661563 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 115.77 samples/sec Train-accuracy=0.422344 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 115.77 samples/sec Train-top_k_accuracy_5=0.669531 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 115.87 samples/sec Train-accuracy=0.424609 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 115.87 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 117.16 samples/sec Train-accuracy=0.421641 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 117.16 samples/sec Train-top_k_accuracy_5=0.672500 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 117.43 samples/sec Train-accuracy=0.420703 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 117.43 samples/sec Train-top_k_accuracy_5=0.669609 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 117.04 samples/sec Train-accuracy=0.421953 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 117.04 samples/sec Train-top_k_accuracy_5=0.667891 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 116.94 samples/sec Train-accuracy=0.418359 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 116.94 samples/sec Train-top_k_accuracy_5=0.666406 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 117.00 samples/sec Train-accuracy=0.418047 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 117.00 samples/sec Train-top_k_accuracy_5=0.663516 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 116.93 samples/sec Train-accuracy=0.417656 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 116.93 samples/sec Train-top_k_accuracy_5=0.669219 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 116.85 samples/sec Train-accuracy=0.411953 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 116.85 samples/sec Train-top_k_accuracy_5=0.663516 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 116.90 samples/sec Train-accuracy=0.411797 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 116.90 samples/sec Train-top_k_accuracy_5=0.661016 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 117.05 samples/sec Train-accuracy=0.411875 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 117.05 samples/sec Train-top_k_accuracy_5=0.663750 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 116.96 samples/sec Train-accuracy=0.413672 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 116.96 samples/sec Train-top_k_accuracy_5=0.656328 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 117.05 samples/sec Train-accuracy=0.420234 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 117.05 samples/sec Train-top_k_accuracy_5=0.666562 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 117.07 samples/sec Train-accuracy=0.424766 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 117.07 samples/sec Train-top_k_accuracy_5=0.669766 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 117.08 samples/sec Train-accuracy=0.424453 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 117.08 samples/sec Train-top_k_accuracy_5=0.669219 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 117.11 samples/sec Train-accuracy=0.418906 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 117.11 samples/sec Train-top_k_accuracy_5=0.667969 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 117.29 samples/sec Train-accuracy=0.412969 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 117.29 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 117.27 samples/sec Train-accuracy=0.416719 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 117.27 samples/sec Train-top_k_accuracy_5=0.668359 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 116.81 samples/sec Train-accuracy=0.426328 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 116.81 samples/sec Train-top_k_accuracy_5=0.668047 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 117.17 samples/sec Train-accuracy=0.417266 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 117.17 samples/sec Train-top_k_accuracy_5=0.664141 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 117.38 samples/sec Train-accuracy=0.422187 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 117.38 samples/sec Train-top_k_accuracy_5=0.666797 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 117.12 samples/sec Train-accuracy=0.423672 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.671484 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 118.50 samples/sec Train-accuracy=0.423203 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 118.50 samples/sec Train-top_k_accuracy_5=0.671094 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 118.47 samples/sec Train-accuracy=0.424766 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 118.47 samples/sec Train-top_k_accuracy_5=0.672734 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 118.78 samples/sec Train-accuracy=0.418984 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 118.78 samples/sec Train-top_k_accuracy_5=0.666875 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 118.22 samples/sec Train-accuracy=0.418906 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 118.22 samples/sec Train-top_k_accuracy_5=0.676641 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 118.24 samples/sec Train-accuracy=0.423906 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 118.24 samples/sec Train-top_k_accuracy_5=0.668750 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 118.64 samples/sec Train-accuracy=0.424453 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 118.64 samples/sec Train-top_k_accuracy_5=0.670000 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 118.32 samples/sec Train-accuracy=0.417500 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 118.32 samples/sec Train-top_k_accuracy_5=0.661797 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 118.25 samples/sec Train-accuracy=0.418516 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 118.25 samples/sec Train-top_k_accuracy_5=0.666797 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 118.40 samples/sec Train-accuracy=0.424922 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 118.40 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 118.85 samples/sec Train-accuracy=0.427656 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 118.85 samples/sec Train-top_k_accuracy_5=0.673906 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 119.14 samples/sec Train-accuracy=0.415625 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 119.14 samples/sec Train-top_k_accuracy_5=0.668281 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 118.98 samples/sec Train-accuracy=0.431328 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 118.98 samples/sec Train-top_k_accuracy_5=0.675156 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 118.82 samples/sec Train-accuracy=0.420859 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 118.82 samples/sec Train-top_k_accuracy_5=0.667344 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 118.65 samples/sec Train-accuracy=0.418750 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 118.65 samples/sec Train-top_k_accuracy_5=0.665781 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 118.60 samples/sec Train-accuracy=0.420078 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 118.60 samples/sec Train-top_k_accuracy_5=0.667891 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 118.23 samples/sec Train-accuracy=0.429531 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 118.23 samples/sec Train-top_k_accuracy_5=0.677734 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 118.21 samples/sec Train-accuracy=0.419609 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 118.21 samples/sec Train-top_k_accuracy_5=0.659844 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 118.38 samples/sec Train-accuracy=0.419063 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 118.38 samples/sec Train-top_k_accuracy_5=0.669687 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 118.35 samples/sec Train-accuracy=0.432734 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 118.35 samples/sec Train-top_k_accuracy_5=0.673438 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 119.18 samples/sec Train-accuracy=0.428203 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 119.18 samples/sec Train-top_k_accuracy_5=0.669766 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 119.03 samples/sec Train-accuracy=0.430469 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 119.03 samples/sec Train-top_k_accuracy_5=0.673203 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 118.63 samples/sec Train-accuracy=0.432031 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 118.63 samples/sec Train-top_k_accuracy_5=0.669766 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 118.98 samples/sec Train-accuracy=0.418750 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 118.98 samples/sec Train-top_k_accuracy_5=0.671250 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 118.94 samples/sec Train-accuracy=0.429766 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 118.94 samples/sec Train-top_k_accuracy_5=0.673438 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 118.76 samples/sec Train-accuracy=0.424766 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 118.76 samples/sec Train-top_k_accuracy_5=0.673125 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 119.07 samples/sec Train-accuracy=0.422031 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 119.07 samples/sec Train-top_k_accuracy_5=0.672109 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 118.60 samples/sec Train-accuracy=0.423906 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 118.60 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 119.23 samples/sec Train-accuracy=0.418750 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 119.23 samples/sec Train-top_k_accuracy_5=0.661875 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 118.65 samples/sec Train-accuracy=0.426484 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 118.65 samples/sec Train-top_k_accuracy_5=0.672344 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 118.88 samples/sec Train-accuracy=0.426250 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 118.88 samples/sec Train-top_k_accuracy_5=0.672266 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 118.89 samples/sec Train-accuracy=0.418359 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 118.89 samples/sec Train-top_k_accuracy_5=0.667813 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 118.62 samples/sec Train-accuracy=0.422656 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 118.62 samples/sec Train-top_k_accuracy_5=0.672031 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 118.41 samples/sec Train-accuracy=0.420547 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 118.41 samples/sec Train-top_k_accuracy_5=0.668359 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 118.16 samples/sec Train-accuracy=0.429688 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 118.16 samples/sec Train-top_k_accuracy_5=0.671953 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 116.09 samples/sec Train-accuracy=0.425312 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 116.09 samples/sec Train-top_k_accuracy_5=0.671719 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 115.69 samples/sec Train-accuracy=0.422500 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 115.69 samples/sec Train-top_k_accuracy_5=0.672500 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 116.07 samples/sec Train-accuracy=0.431719 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 116.07 samples/sec Train-top_k_accuracy_5=0.674922 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 116.86 samples/sec Train-accuracy=0.428516 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 116.86 samples/sec Train-top_k_accuracy_5=0.681250 | |
| INFO:root:Epoch[6] Resetting Data Iterator | |
| INFO:root:Epoch[6] Time cost=10895.818 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0007.params" | |
| INFO:root:Epoch[6] Validation-accuracy=0.478775 | |
| INFO:root:Epoch[6] Validation-top_k_accuracy_5=0.736727 | |
| INFO:root:Namespace(aug_level=3, batch_size=260, bn_mom=0.9, data_dir='/home/ubuntu/imagenet', data_type='imagenet', depth=152, frequent=50, gpus='6,7,8,9,10,11,12,13,14,15', kv_store='device', list_dir='./', lr=0.1, memonger=False, model_load_epoch=7, mom=0.9, num_classes=1000, num_examples=1281167, retrain=True, wd=0.0001, workspace=512) | |
| [06:09:48] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [06:09:51] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/imagenet/val_256_q90.rec, use 4 threads for decoding.. | |
| INFO:root:Start training with [gpu(6), gpu(7), gpu(8), gpu(9), gpu(10), gpu(11), gpu(12), gpu(13), gpu(14), gpu(15)] | |
| INFO:root:Epoch[7] Batch [50] Speed: 117.12 samples/sec Train-accuracy=0.446231 | |
| INFO:root:Epoch[7] Batch [50] Speed: 117.12 samples/sec Train-top_k_accuracy_5=0.692538 | |
| INFO:root:Epoch[7] Batch [100] Speed: 112.78 samples/sec Train-accuracy=0.443154 | |
| INFO:root:Epoch[7] Batch [100] Speed: 112.78 samples/sec Train-top_k_accuracy_5=0.679846 | |
| INFO:root:Epoch[7] Batch [150] Speed: 112.92 samples/sec Train-accuracy=0.434538 | |
| INFO:root:Epoch[7] Batch [150] Speed: 112.92 samples/sec Train-top_k_accuracy_5=0.687538 | |
| INFO:root:Epoch[7] Batch [200] Speed: 113.01 samples/sec Train-accuracy=0.433846 | |
| INFO:root:Epoch[7] Batch [200] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.685077 | |
| INFO:root:Epoch[7] Batch [250] Speed: 113.13 samples/sec Train-accuracy=0.431538 | |
| INFO:root:Epoch[7] Batch [250] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.682538 | |
| INFO:root:Epoch[7] Batch [300] Speed: 113.36 samples/sec Train-accuracy=0.437231 | |
| INFO:root:Epoch[7] Batch [300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.684923 | |
| INFO:root:Epoch[7] Batch [350] Speed: 112.92 samples/sec Train-accuracy=0.446154 | |
| INFO:root:Epoch[7] Batch [350] Speed: 112.92 samples/sec Train-top_k_accuracy_5=0.689615 | |
| INFO:root:Epoch[7] Batch [400] Speed: 113.10 samples/sec Train-accuracy=0.445231 | |
| INFO:root:Epoch[7] Batch [400] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.689000 | |
| INFO:root:Epoch[7] Batch [450] Speed: 113.09 samples/sec Train-accuracy=0.439769 | |
| INFO:root:Epoch[7] Batch [450] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.686846 | |
| INFO:root:Epoch[7] Batch [500] Speed: 112.91 samples/sec Train-accuracy=0.437308 | |
| INFO:root:Epoch[7] Batch [500] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.686385 | |
| INFO:root:Epoch[7] Batch [550] Speed: 113.08 samples/sec Train-accuracy=0.438231 | |
| INFO:root:Epoch[7] Batch [550] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.687000 | |
| INFO:root:Epoch[7] Batch [600] Speed: 113.06 samples/sec Train-accuracy=0.433538 | |
| INFO:root:Epoch[7] Batch [600] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.682077 | |
| INFO:root:Epoch[7] Batch [650] Speed: 112.86 samples/sec Train-accuracy=0.433538 | |
| INFO:root:Epoch[7] Batch [650] Speed: 112.86 samples/sec Train-top_k_accuracy_5=0.685692 | |
| INFO:root:Epoch[7] Batch [700] Speed: 113.03 samples/sec Train-accuracy=0.438308 | |
| INFO:root:Epoch[7] Batch [700] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.682462 | |
| INFO:root:Epoch[7] Batch [750] Speed: 112.80 samples/sec Train-accuracy=0.443615 | |
| INFO:root:Epoch[7] Batch [750] Speed: 112.80 samples/sec Train-top_k_accuracy_5=0.687923 | |
| INFO:root:Epoch[7] Batch [800] Speed: 113.15 samples/sec Train-accuracy=0.435308 | |
| INFO:root:Epoch[7] Batch [800] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.688154 | |
| INFO:root:Epoch[7] Batch [850] Speed: 113.06 samples/sec Train-accuracy=0.430462 | |
| INFO:root:Epoch[7] Batch [850] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.683462 | |
| INFO:root:Epoch[7] Batch [900] Speed: 113.07 samples/sec Train-accuracy=0.435538 | |
| INFO:root:Epoch[7] Batch [900] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.677923 | |
| INFO:root:Epoch[7] Batch [950] Speed: 113.18 samples/sec Train-accuracy=0.438923 | |
| INFO:root:Epoch[7] Batch [950] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.686769 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 113.18 samples/sec Train-accuracy=0.442923 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.685000 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 113.03 samples/sec Train-accuracy=0.436846 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.688154 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 113.03 samples/sec Train-accuracy=0.439923 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.691846 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 113.12 samples/sec Train-accuracy=0.437615 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.685923 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 112.99 samples/sec Train-accuracy=0.432769 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.686231 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 112.78 samples/sec Train-accuracy=0.440692 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 112.78 samples/sec Train-top_k_accuracy_5=0.691769 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 112.97 samples/sec Train-accuracy=0.438231 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.685462 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 112.82 samples/sec Train-accuracy=0.446538 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 112.82 samples/sec Train-top_k_accuracy_5=0.686231 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 113.01 samples/sec Train-accuracy=0.444385 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.693000 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 112.99 samples/sec Train-accuracy=0.439615 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.692538 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 112.79 samples/sec Train-accuracy=0.441385 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 112.79 samples/sec Train-top_k_accuracy_5=0.685923 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 112.75 samples/sec Train-accuracy=0.444385 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 112.75 samples/sec Train-top_k_accuracy_5=0.689308 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 112.83 samples/sec Train-accuracy=0.453000 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 112.83 samples/sec Train-top_k_accuracy_5=0.694923 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 112.97 samples/sec Train-accuracy=0.445385 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.688692 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 112.81 samples/sec Train-accuracy=0.440538 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 112.81 samples/sec Train-top_k_accuracy_5=0.688615 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 113.03 samples/sec Train-accuracy=0.437154 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.687769 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 113.08 samples/sec Train-accuracy=0.445615 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.695308 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 113.06 samples/sec Train-accuracy=0.448692 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.688462 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 112.83 samples/sec Train-accuracy=0.442846 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 112.83 samples/sec Train-top_k_accuracy_5=0.686538 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 113.02 samples/sec Train-accuracy=0.451000 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.692846 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 113.12 samples/sec Train-accuracy=0.436231 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.686615 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 113.04 samples/sec Train-accuracy=0.446692 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.690923 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 112.90 samples/sec Train-accuracy=0.448769 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 112.90 samples/sec Train-top_k_accuracy_5=0.695846 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 112.97 samples/sec Train-accuracy=0.451846 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.691538 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 113.01 samples/sec Train-accuracy=0.448077 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.695308 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 112.88 samples/sec Train-accuracy=0.438923 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 112.88 samples/sec Train-top_k_accuracy_5=0.686154 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 112.98 samples/sec Train-accuracy=0.440077 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.690923 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 113.06 samples/sec Train-accuracy=0.442154 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.687692 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 112.82 samples/sec Train-accuracy=0.444308 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 112.82 samples/sec Train-top_k_accuracy_5=0.687385 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 113.20 samples/sec Train-accuracy=0.443308 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.689692 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 112.92 samples/sec Train-accuracy=0.446308 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 112.92 samples/sec Train-top_k_accuracy_5=0.694308 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 113.03 samples/sec Train-accuracy=0.436692 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.689538 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 112.97 samples/sec Train-accuracy=0.439615 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.690077 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 113.05 samples/sec Train-accuracy=0.440923 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.692615 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 113.10 samples/sec Train-accuracy=0.438615 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.690692 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 112.93 samples/sec Train-accuracy=0.449615 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.696923 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 113.11 samples/sec Train-accuracy=0.446154 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.689462 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 113.05 samples/sec Train-accuracy=0.442846 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.689769 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 112.94 samples/sec Train-accuracy=0.446385 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.696077 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 113.00 samples/sec Train-accuracy=0.444692 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.685846 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 113.00 samples/sec Train-accuracy=0.444538 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.687538 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 113.17 samples/sec Train-accuracy=0.451000 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.698000 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 113.10 samples/sec Train-accuracy=0.440308 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.688692 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 113.09 samples/sec Train-accuracy=0.439538 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.692769 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 113.11 samples/sec Train-accuracy=0.444692 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.697000 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 113.03 samples/sec Train-accuracy=0.437154 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.689462 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 113.22 samples/sec Train-accuracy=0.444615 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.688692 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 113.05 samples/sec Train-accuracy=0.447231 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.698231 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 113.04 samples/sec Train-accuracy=0.434462 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.688000 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 113.11 samples/sec Train-accuracy=0.443000 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.688538 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 113.08 samples/sec Train-accuracy=0.451462 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.699385 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 112.97 samples/sec Train-accuracy=0.446000 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.693385 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 113.33 samples/sec Train-accuracy=0.453615 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.701308 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 113.04 samples/sec Train-accuracy=0.439615 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.686077 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 112.84 samples/sec Train-accuracy=0.446538 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 112.84 samples/sec Train-top_k_accuracy_5=0.691154 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 112.91 samples/sec Train-accuracy=0.442308 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.689231 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 113.08 samples/sec Train-accuracy=0.451615 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.698769 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 113.07 samples/sec Train-accuracy=0.459385 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.696462 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 113.15 samples/sec Train-accuracy=0.445308 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.688462 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 113.29 samples/sec Train-accuracy=0.444154 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.696000 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 113.01 samples/sec Train-accuracy=0.451923 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.696231 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 113.24 samples/sec Train-accuracy=0.449846 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.697385 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 113.09 samples/sec Train-accuracy=0.451923 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.700000 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 112.96 samples/sec Train-accuracy=0.448385 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 112.96 samples/sec Train-top_k_accuracy_5=0.693231 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 113.06 samples/sec Train-accuracy=0.443231 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.695077 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 112.98 samples/sec Train-accuracy=0.446000 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.695846 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 112.98 samples/sec Train-accuracy=0.448154 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.696769 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 113.09 samples/sec Train-accuracy=0.455538 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.702154 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 113.13 samples/sec Train-accuracy=0.444615 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.691154 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 112.97 samples/sec Train-accuracy=0.446538 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.698154 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 113.16 samples/sec Train-accuracy=0.450615 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.696769 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 113.01 samples/sec Train-accuracy=0.450462 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.693385 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 112.91 samples/sec Train-accuracy=0.434077 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.685846 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 113.17 samples/sec Train-accuracy=0.442000 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.691231 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 113.01 samples/sec Train-accuracy=0.448462 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.696538 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 113.27 samples/sec Train-accuracy=0.446923 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.690077 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 113.22 samples/sec Train-accuracy=0.456923 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.695000 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 112.83 samples/sec Train-accuracy=0.452923 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 112.83 samples/sec Train-top_k_accuracy_5=0.700923 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 113.12 samples/sec Train-accuracy=0.444385 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.691077 | |
| INFO:root:Epoch[7] Resetting Data Iterator | |
| INFO:root:Epoch[7] Time cost=11344.001 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0008.params" | |
| INFO:root:Epoch[7] Validation-accuracy=0.504464 | |
| INFO:root:Epoch[7] Validation-top_k_accuracy_5=0.764249 | |
| INFO:root:Epoch[8] Batch [50] Speed: 115.46 samples/sec Train-accuracy=0.455615 | |
| INFO:root:Epoch[8] Batch [50] Speed: 115.46 samples/sec Train-top_k_accuracy_5=0.697615 | |
| INFO:root:Epoch[8] Batch [100] Speed: 113.04 samples/sec Train-accuracy=0.449846 | |
| INFO:root:Epoch[8] Batch [100] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.696000 | |
| INFO:root:Epoch[8] Batch [150] Speed: 113.08 samples/sec Train-accuracy=0.447462 | |
| INFO:root:Epoch[8] Batch [150] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.694154 | |
| INFO:root:Epoch[8] Batch [200] Speed: 113.04 samples/sec Train-accuracy=0.447154 | |
| INFO:root:Epoch[8] Batch [200] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.698000 | |
| INFO:root:Epoch[8] Batch [250] Speed: 112.93 samples/sec Train-accuracy=0.443154 | |
| INFO:root:Epoch[8] Batch [250] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.691000 | |
| INFO:root:Epoch[8] Batch [300] Speed: 113.00 samples/sec Train-accuracy=0.452308 | |
| INFO:root:Epoch[8] Batch [300] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.697692 | |
| INFO:root:Epoch[8] Batch [350] Speed: 113.13 samples/sec Train-accuracy=0.454308 | |
| INFO:root:Epoch[8] Batch [350] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.698692 | |
| INFO:root:Epoch[8] Batch [400] Speed: 113.22 samples/sec Train-accuracy=0.449615 | |
| INFO:root:Epoch[8] Batch [400] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.699308 | |
| INFO:root:Epoch[8] Batch [450] Speed: 113.17 samples/sec Train-accuracy=0.450308 | |
| INFO:root:Epoch[8] Batch [450] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.696692 | |
| INFO:root:Epoch[8] Batch [500] Speed: 113.05 samples/sec Train-accuracy=0.451231 | |
| INFO:root:Epoch[8] Batch [500] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.700308 | |
| INFO:root:Epoch[8] Batch [550] Speed: 113.02 samples/sec Train-accuracy=0.450231 | |
| INFO:root:Epoch[8] Batch [550] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.695846 | |
| INFO:root:Epoch[8] Batch [600] Speed: 113.25 samples/sec Train-accuracy=0.446462 | |
| INFO:root:Epoch[8] Batch [600] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.696538 | |
| INFO:root:Epoch[8] Batch [650] Speed: 112.61 samples/sec Train-accuracy=0.453000 | |
| INFO:root:Epoch[8] Batch [650] Speed: 112.61 samples/sec Train-top_k_accuracy_5=0.701077 | |
| INFO:root:Epoch[8] Batch [700] Speed: 113.18 samples/sec Train-accuracy=0.447308 | |
| INFO:root:Epoch[8] Batch [700] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.696000 | |
| INFO:root:Epoch[8] Batch [750] Speed: 112.96 samples/sec Train-accuracy=0.453923 | |
| INFO:root:Epoch[8] Batch [750] Speed: 112.96 samples/sec Train-top_k_accuracy_5=0.699769 | |
| INFO:root:Epoch[8] Batch [800] Speed: 113.03 samples/sec Train-accuracy=0.446462 | |
| INFO:root:Epoch[8] Batch [800] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.693923 | |
| INFO:root:Epoch[8] Batch [850] Speed: 113.21 samples/sec Train-accuracy=0.443000 | |
| INFO:root:Epoch[8] Batch [850] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.691231 | |
| INFO:root:Epoch[8] Batch [900] Speed: 113.04 samples/sec Train-accuracy=0.449385 | |
| INFO:root:Epoch[8] Batch [900] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.695462 | |
| INFO:root:Epoch[8] Batch [950] Speed: 113.07 samples/sec Train-accuracy=0.447692 | |
| INFO:root:Epoch[8] Batch [950] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.698154 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 113.04 samples/sec Train-accuracy=0.450846 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.700615 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 113.07 samples/sec Train-accuracy=0.455692 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.704538 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 113.00 samples/sec Train-accuracy=0.461385 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.703077 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 112.99 samples/sec Train-accuracy=0.454385 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.701462 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 112.88 samples/sec Train-accuracy=0.448615 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 112.88 samples/sec Train-top_k_accuracy_5=0.692077 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 113.07 samples/sec Train-accuracy=0.446077 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.697000 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 113.12 samples/sec Train-accuracy=0.448000 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.695308 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 113.16 samples/sec Train-accuracy=0.451462 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.695462 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 112.99 samples/sec Train-accuracy=0.465231 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.702923 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 113.05 samples/sec Train-accuracy=0.453923 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.702385 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 113.15 samples/sec Train-accuracy=0.452077 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.700923 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 113.10 samples/sec Train-accuracy=0.449769 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.700462 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 112.97 samples/sec Train-accuracy=0.451077 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.696923 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 113.22 samples/sec Train-accuracy=0.454769 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.695462 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 113.18 samples/sec Train-accuracy=0.447615 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.696923 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 113.09 samples/sec Train-accuracy=0.442615 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.693538 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 113.07 samples/sec Train-accuracy=0.457769 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.709000 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 113.07 samples/sec Train-accuracy=0.456077 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.704692 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 113.15 samples/sec Train-accuracy=0.448923 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.699462 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 113.25 samples/sec Train-accuracy=0.459923 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.704231 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 112.93 samples/sec Train-accuracy=0.442846 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.692769 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 112.89 samples/sec Train-accuracy=0.451538 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 112.89 samples/sec Train-top_k_accuracy_5=0.696846 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 113.03 samples/sec Train-accuracy=0.464615 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.710923 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 113.16 samples/sec Train-accuracy=0.455308 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.702846 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 113.06 samples/sec Train-accuracy=0.462077 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.705308 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 112.94 samples/sec Train-accuracy=0.455385 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.703923 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 112.97 samples/sec Train-accuracy=0.454308 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.702615 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 113.08 samples/sec Train-accuracy=0.451462 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.695385 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 113.04 samples/sec Train-accuracy=0.453769 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.702846 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 113.02 samples/sec Train-accuracy=0.452923 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.702538 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 113.05 samples/sec Train-accuracy=0.447154 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.702154 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 113.12 samples/sec Train-accuracy=0.450462 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.700846 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 113.29 samples/sec Train-accuracy=0.449000 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.696308 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 113.19 samples/sec Train-accuracy=0.447769 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.693692 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 112.74 samples/sec Train-accuracy=0.450923 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 112.74 samples/sec Train-top_k_accuracy_5=0.707615 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 112.93 samples/sec Train-accuracy=0.454538 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.702923 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 113.16 samples/sec Train-accuracy=0.452231 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.701231 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 113.03 samples/sec Train-accuracy=0.455692 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.702692 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 112.46 samples/sec Train-accuracy=0.445154 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 112.46 samples/sec Train-top_k_accuracy_5=0.697538 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 112.75 samples/sec Train-accuracy=0.452923 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 112.75 samples/sec Train-top_k_accuracy_5=0.696769 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 112.94 samples/sec Train-accuracy=0.456385 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.699923 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 113.04 samples/sec Train-accuracy=0.460692 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.706385 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 113.15 samples/sec Train-accuracy=0.452231 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.698846 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 112.94 samples/sec Train-accuracy=0.456231 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.706154 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 113.08 samples/sec Train-accuracy=0.452538 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.701769 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 112.99 samples/sec Train-accuracy=0.454077 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.701846 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 113.08 samples/sec Train-accuracy=0.456000 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.698308 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 113.18 samples/sec Train-accuracy=0.453538 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.702769 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 113.22 samples/sec Train-accuracy=0.455692 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.701846 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 113.05 samples/sec Train-accuracy=0.459692 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.702000 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 113.18 samples/sec Train-accuracy=0.459769 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.703462 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 113.05 samples/sec Train-accuracy=0.459385 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.701462 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 113.30 samples/sec Train-accuracy=0.460923 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.710154 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 113.34 samples/sec Train-accuracy=0.456692 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.701154 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 113.25 samples/sec Train-accuracy=0.452154 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.701000 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 113.04 samples/sec Train-accuracy=0.458846 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.706462 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 113.04 samples/sec Train-accuracy=0.460923 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.701769 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 113.18 samples/sec Train-accuracy=0.462846 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.712231 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 113.19 samples/sec Train-accuracy=0.455231 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.700692 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 113.13 samples/sec Train-accuracy=0.455385 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.704769 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 113.04 samples/sec Train-accuracy=0.457000 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.706000 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 113.16 samples/sec Train-accuracy=0.460385 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.705769 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 113.15 samples/sec Train-accuracy=0.465231 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.710154 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 112.83 samples/sec Train-accuracy=0.463923 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 112.83 samples/sec Train-top_k_accuracy_5=0.704462 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 113.01 samples/sec Train-accuracy=0.455692 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.705462 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 112.90 samples/sec Train-accuracy=0.456154 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 112.90 samples/sec Train-top_k_accuracy_5=0.704538 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 113.09 samples/sec Train-accuracy=0.452692 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.703769 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 113.08 samples/sec Train-accuracy=0.451231 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.702000 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 113.06 samples/sec Train-accuracy=0.451846 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.699615 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 113.14 samples/sec Train-accuracy=0.460308 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.703615 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 113.18 samples/sec Train-accuracy=0.458538 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.702692 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 113.12 samples/sec Train-accuracy=0.456154 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.707692 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 113.16 samples/sec Train-accuracy=0.453000 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.697692 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 113.29 samples/sec Train-accuracy=0.452692 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.701923 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 113.16 samples/sec Train-accuracy=0.460000 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.703462 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 113.09 samples/sec Train-accuracy=0.462846 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.704000 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 113.18 samples/sec Train-accuracy=0.460308 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.702231 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 113.18 samples/sec Train-accuracy=0.454769 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.702692 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 113.25 samples/sec Train-accuracy=0.457615 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.703231 | |
| INFO:root:Epoch[8] Resetting Data Iterator | |
| INFO:root:Epoch[8] Time cost=11330.248 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0009.params" | |
| INFO:root:Epoch[8] Validation-accuracy=0.517876 | |
| INFO:root:Epoch[8] Validation-top_k_accuracy_5=0.774930 | |
| INFO:root:Epoch[9] Batch [50] Speed: 115.60 samples/sec Train-accuracy=0.462923 | |
| INFO:root:Epoch[9] Batch [50] Speed: 115.60 samples/sec Train-top_k_accuracy_5=0.713231 | |
| INFO:root:Epoch[9] Batch [100] Speed: 113.26 samples/sec Train-accuracy=0.459769 | |
| INFO:root:Epoch[9] Batch [100] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.705692 | |
| INFO:root:Epoch[9] Batch [150] Speed: 113.18 samples/sec Train-accuracy=0.451000 | |
| INFO:root:Epoch[9] Batch [150] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.701308 | |
| INFO:root:Epoch[9] Batch [200] Speed: 112.89 samples/sec Train-accuracy=0.458000 | |
| INFO:root:Epoch[9] Batch [200] Speed: 112.89 samples/sec Train-top_k_accuracy_5=0.706615 | |
| INFO:root:Epoch[9] Batch [250] Speed: 113.11 samples/sec Train-accuracy=0.453077 | |
| INFO:root:Epoch[9] Batch [250] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.699846 | |
| INFO:root:Epoch[9] Batch [300] Speed: 113.01 samples/sec Train-accuracy=0.459231 | |
| INFO:root:Epoch[9] Batch [300] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.705231 | |
| INFO:root:Epoch[9] Batch [350] Speed: 113.07 samples/sec Train-accuracy=0.463154 | |
| INFO:root:Epoch[9] Batch [350] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.709000 | |
| INFO:root:Epoch[9] Batch [400] Speed: 113.19 samples/sec Train-accuracy=0.457538 | |
| INFO:root:Epoch[9] Batch [400] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.709846 | |
| INFO:root:Epoch[9] Batch [450] Speed: 113.14 samples/sec Train-accuracy=0.462385 | |
| INFO:root:Epoch[9] Batch [450] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.706923 | |
| INFO:root:Epoch[9] Batch [500] Speed: 113.14 samples/sec Train-accuracy=0.460462 | |
| INFO:root:Epoch[9] Batch [500] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.704846 | |
| INFO:root:Epoch[9] Batch [550] Speed: 113.08 samples/sec Train-accuracy=0.450846 | |
| INFO:root:Epoch[9] Batch [550] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.704615 | |
| INFO:root:Epoch[9] Batch [600] Speed: 113.06 samples/sec Train-accuracy=0.454462 | |
| INFO:root:Epoch[9] Batch [600] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.703692 | |
| INFO:root:Epoch[9] Batch [650] Speed: 113.01 samples/sec Train-accuracy=0.460615 | |
| INFO:root:Epoch[9] Batch [650] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.704692 | |
| INFO:root:Epoch[9] Batch [700] Speed: 113.16 samples/sec Train-accuracy=0.459000 | |
| INFO:root:Epoch[9] Batch [700] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.702385 | |
| INFO:root:Epoch[9] Batch [750] Speed: 113.19 samples/sec Train-accuracy=0.464846 | |
| INFO:root:Epoch[9] Batch [750] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.708923 | |
| INFO:root:Epoch[9] Batch [800] Speed: 113.17 samples/sec Train-accuracy=0.455846 | |
| INFO:root:Epoch[9] Batch [800] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.699692 | |
| INFO:root:Epoch[9] Batch [850] Speed: 113.08 samples/sec Train-accuracy=0.455462 | |
| INFO:root:Epoch[9] Batch [850] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.707615 | |
| INFO:root:Epoch[9] Batch [900] Speed: 113.06 samples/sec Train-accuracy=0.456923 | |
| INFO:root:Epoch[9] Batch [900] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.701846 | |
| INFO:root:Epoch[9] Batch [950] Speed: 113.04 samples/sec Train-accuracy=0.456385 | |
| INFO:root:Epoch[9] Batch [950] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.707154 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 112.97 samples/sec Train-accuracy=0.456923 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.705000 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 112.91 samples/sec Train-accuracy=0.459923 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.708000 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 113.34 samples/sec Train-accuracy=0.465769 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.710462 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 112.95 samples/sec Train-accuracy=0.461615 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.709154 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 113.11 samples/sec Train-accuracy=0.458077 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.700308 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 113.14 samples/sec Train-accuracy=0.455462 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.707462 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 113.21 samples/sec Train-accuracy=0.461692 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.706231 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 113.15 samples/sec Train-accuracy=0.458462 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.706385 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 113.22 samples/sec Train-accuracy=0.465692 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.711692 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 113.02 samples/sec Train-accuracy=0.457000 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.706000 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 113.33 samples/sec Train-accuracy=0.469000 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.703923 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 113.10 samples/sec Train-accuracy=0.466692 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.704923 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 113.19 samples/sec Train-accuracy=0.465231 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.707000 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 113.21 samples/sec Train-accuracy=0.456385 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.709000 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 113.13 samples/sec Train-accuracy=0.458385 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.704615 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 113.12 samples/sec Train-accuracy=0.458154 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.703385 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 113.11 samples/sec Train-accuracy=0.462231 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.712923 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 113.15 samples/sec Train-accuracy=0.462154 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.714231 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 113.06 samples/sec Train-accuracy=0.460077 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.703308 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 113.16 samples/sec Train-accuracy=0.465615 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.710077 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 113.19 samples/sec Train-accuracy=0.446615 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.699615 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 112.72 samples/sec Train-accuracy=0.465692 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 112.72 samples/sec Train-top_k_accuracy_5=0.705077 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 112.96 samples/sec Train-accuracy=0.479308 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 112.96 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 113.02 samples/sec Train-accuracy=0.468692 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.712923 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 113.24 samples/sec Train-accuracy=0.467000 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.705077 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 113.11 samples/sec Train-accuracy=0.458462 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.703154 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 113.15 samples/sec Train-accuracy=0.462231 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.706538 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 113.14 samples/sec Train-accuracy=0.460769 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.701154 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 113.32 samples/sec Train-accuracy=0.459462 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.706615 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 113.14 samples/sec Train-accuracy=0.456462 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.706615 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 113.12 samples/sec Train-accuracy=0.462692 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.703077 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 113.30 samples/sec Train-accuracy=0.453769 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.701923 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 113.03 samples/sec Train-accuracy=0.461923 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.712077 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 113.18 samples/sec Train-accuracy=0.456077 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.703692 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 113.25 samples/sec Train-accuracy=0.464154 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.710462 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 113.01 samples/sec Train-accuracy=0.465077 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.706615 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 113.09 samples/sec Train-accuracy=0.462769 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.710077 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 113.04 samples/sec Train-accuracy=0.457615 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.706846 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 113.19 samples/sec Train-accuracy=0.461692 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.710615 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 112.90 samples/sec Train-accuracy=0.464385 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 112.90 samples/sec Train-top_k_accuracy_5=0.709538 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 113.04 samples/sec Train-accuracy=0.463231 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.710231 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 113.12 samples/sec Train-accuracy=0.459462 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.703692 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 112.97 samples/sec Train-accuracy=0.466000 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.710692 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 113.00 samples/sec Train-accuracy=0.466231 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.714077 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 113.21 samples/sec Train-accuracy=0.464231 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.713077 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 112.96 samples/sec Train-accuracy=0.468077 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 112.96 samples/sec Train-top_k_accuracy_5=0.712615 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 113.21 samples/sec Train-accuracy=0.463154 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.704769 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 113.16 samples/sec Train-accuracy=0.461769 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.712462 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 113.24 samples/sec Train-accuracy=0.459231 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.705077 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 113.02 samples/sec Train-accuracy=0.465692 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.711692 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 113.18 samples/sec Train-accuracy=0.473308 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.717462 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 113.15 samples/sec Train-accuracy=0.468769 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.710769 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 113.03 samples/sec Train-accuracy=0.463000 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.713615 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 113.19 samples/sec Train-accuracy=0.464615 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.706462 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 113.23 samples/sec Train-accuracy=0.461000 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.709308 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 113.09 samples/sec Train-accuracy=0.463846 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.711385 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 113.16 samples/sec Train-accuracy=0.475385 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.717308 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 113.14 samples/sec Train-accuracy=0.469692 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.721615 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 113.10 samples/sec Train-accuracy=0.459077 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.711615 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 113.25 samples/sec Train-accuracy=0.457769 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.709769 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 113.07 samples/sec Train-accuracy=0.471462 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.709769 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 112.95 samples/sec Train-accuracy=0.468615 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.712615 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 112.94 samples/sec Train-accuracy=0.470692 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.720077 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 113.05 samples/sec Train-accuracy=0.464000 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.707769 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 113.01 samples/sec Train-accuracy=0.471231 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.715385 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 113.12 samples/sec Train-accuracy=0.468385 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.707077 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 113.13 samples/sec Train-accuracy=0.462308 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.712077 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 113.22 samples/sec Train-accuracy=0.465308 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.710308 | |
| INFO:root:Epoch[9] Batch [4400] Speed: 113.00 samples/sec Train-accuracy=0.462462 | |
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| INFO:root:Epoch[9] Batch [4450] Speed: 113.32 samples/sec Train-accuracy=0.466923 | |
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| INFO:root:Epoch[9] Batch [4650] Speed: 113.05 samples/sec Train-accuracy=0.458692 | |
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| INFO:root:Epoch[9] Batch [4800] Speed: 113.07 samples/sec Train-accuracy=0.463308 | |
| INFO:root:Epoch[9] Batch [4800] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.706846 | |
| INFO:root:Epoch[9] Batch [4850] Speed: 113.08 samples/sec Train-accuracy=0.464538 | |
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| INFO:root:Epoch[9] Batch [4900] Speed: 113.14 samples/sec Train-accuracy=0.462154 | |
| INFO:root:Epoch[9] Batch [4900] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.708385 | |
| INFO:root:Epoch[9] Resetting Data Iterator | |
| INFO:root:Epoch[9] Time cost=11323.991 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0010.params" | |
| INFO:root:Epoch[9] Validation-accuracy=0.529813 | |
| INFO:root:Epoch[9] Validation-top_k_accuracy_5=0.786509 | |
| INFO:root:Epoch[10] Batch [50] Speed: 115.35 samples/sec Train-accuracy=0.469846 | |
| INFO:root:Epoch[10] Batch [50] Speed: 115.35 samples/sec Train-top_k_accuracy_5=0.716923 | |
| INFO:root:Epoch[10] Batch [100] Speed: 113.14 samples/sec Train-accuracy=0.462231 | |
| INFO:root:Epoch[10] Batch [100] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.711154 | |
| INFO:root:Epoch[10] Batch [150] Speed: 112.94 samples/sec Train-accuracy=0.471846 | |
| INFO:root:Epoch[10] Batch [150] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.712615 | |
| INFO:root:Epoch[10] Batch [200] Speed: 113.19 samples/sec Train-accuracy=0.468154 | |
| INFO:root:Epoch[10] Batch [200] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.713077 | |
| INFO:root:Epoch[10] Batch [250] Speed: 113.21 samples/sec Train-accuracy=0.461077 | |
| INFO:root:Epoch[10] Batch [250] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.709077 | |
| INFO:root:Epoch[10] Batch [300] Speed: 112.99 samples/sec Train-accuracy=0.462538 | |
| INFO:root:Epoch[10] Batch [300] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.714462 | |
| INFO:root:Epoch[10] Batch [350] Speed: 113.20 samples/sec Train-accuracy=0.468846 | |
| INFO:root:Epoch[10] Batch [350] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.714385 | |
| INFO:root:Epoch[10] Batch [400] Speed: 113.09 samples/sec Train-accuracy=0.464769 | |
| INFO:root:Epoch[10] Batch [400] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.715308 | |
| INFO:root:Epoch[10] Batch [450] Speed: 112.97 samples/sec Train-accuracy=0.466923 | |
| INFO:root:Epoch[10] Batch [450] Speed: 112.97 samples/sec Train-top_k_accuracy_5=0.710385 | |
| INFO:root:Epoch[10] Batch [500] Speed: 112.81 samples/sec Train-accuracy=0.466308 | |
| INFO:root:Epoch[10] Batch [500] Speed: 112.81 samples/sec Train-top_k_accuracy_5=0.714385 | |
| INFO:root:Epoch[10] Batch [550] Speed: 113.08 samples/sec Train-accuracy=0.470462 | |
| INFO:root:Epoch[10] Batch [550] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.715615 | |
| INFO:root:Epoch[10] Batch [600] Speed: 113.12 samples/sec Train-accuracy=0.462154 | |
| INFO:root:Epoch[10] Batch [600] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.705692 | |
| INFO:root:Epoch[10] Batch [650] Speed: 113.03 samples/sec Train-accuracy=0.464385 | |
| INFO:root:Epoch[10] Batch [650] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.709692 | |
| INFO:root:Epoch[10] Batch [700] Speed: 113.24 samples/sec Train-accuracy=0.464923 | |
| INFO:root:Epoch[10] Batch [700] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.706692 | |
| INFO:root:Epoch[10] Batch [750] Speed: 113.25 samples/sec Train-accuracy=0.461923 | |
| INFO:root:Epoch[10] Batch [750] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.710769 | |
| INFO:root:Epoch[10] Batch [800] Speed: 113.10 samples/sec Train-accuracy=0.464154 | |
| INFO:root:Epoch[10] Batch [800] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.709154 | |
| INFO:root:Epoch[10] Batch [850] Speed: 113.06 samples/sec Train-accuracy=0.463000 | |
| INFO:root:Epoch[10] Batch [850] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.711154 | |
| INFO:root:Epoch[10] Batch [900] Speed: 112.76 samples/sec Train-accuracy=0.461077 | |
| INFO:root:Epoch[10] Batch [900] Speed: 112.76 samples/sec Train-top_k_accuracy_5=0.708615 | |
| INFO:root:Epoch[10] Batch [950] Speed: 113.08 samples/sec Train-accuracy=0.462769 | |
| INFO:root:Epoch[10] Batch [950] Speed: 113.08 samples/sec Train-top_k_accuracy_5=0.716462 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 113.14 samples/sec Train-accuracy=0.474538 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.719692 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 113.27 samples/sec Train-accuracy=0.465231 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.711077 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 113.21 samples/sec Train-accuracy=0.474000 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.716385 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 113.09 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.710231 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 113.20 samples/sec Train-accuracy=0.462615 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.706308 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 112.95 samples/sec Train-accuracy=0.474385 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.719308 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 112.61 samples/sec Train-accuracy=0.461154 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 112.61 samples/sec Train-top_k_accuracy_5=0.710615 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 112.83 samples/sec Train-accuracy=0.472846 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 112.83 samples/sec Train-top_k_accuracy_5=0.719077 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 113.03 samples/sec Train-accuracy=0.472538 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.715000 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 113.16 samples/sec Train-accuracy=0.471846 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.717077 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 113.03 samples/sec Train-accuracy=0.477308 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.713000 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 113.01 samples/sec Train-accuracy=0.467154 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.712231 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 113.19 samples/sec Train-accuracy=0.473846 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.716154 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 113.06 samples/sec Train-accuracy=0.467000 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.710000 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 113.26 samples/sec Train-accuracy=0.467462 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.709462 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 113.23 samples/sec Train-accuracy=0.461692 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.713000 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 113.11 samples/sec Train-accuracy=0.474308 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.721308 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 113.26 samples/sec Train-accuracy=0.468000 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.717462 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 113.07 samples/sec Train-accuracy=0.472154 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.716692 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 113.18 samples/sec Train-accuracy=0.473308 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 113.32 samples/sec Train-accuracy=0.463385 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.709308 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 113.12 samples/sec Train-accuracy=0.468769 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.712769 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 113.12 samples/sec Train-accuracy=0.477231 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.723692 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 113.11 samples/sec Train-accuracy=0.478462 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.715077 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 112.98 samples/sec Train-accuracy=0.471538 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.721231 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 113.06 samples/sec Train-accuracy=0.470385 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.717308 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 113.01 samples/sec Train-accuracy=0.468769 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.715692 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 113.03 samples/sec Train-accuracy=0.476462 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.714615 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 113.17 samples/sec Train-accuracy=0.469154 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.715231 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 113.15 samples/sec Train-accuracy=0.466538 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.706154 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 113.04 samples/sec Train-accuracy=0.466154 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.710846 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 112.99 samples/sec Train-accuracy=0.468692 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.717462 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 113.04 samples/sec Train-accuracy=0.468923 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.712846 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 112.98 samples/sec Train-accuracy=0.464846 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.713846 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 113.07 samples/sec Train-accuracy=0.469154 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.720538 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 113.05 samples/sec Train-accuracy=0.470308 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.720077 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 113.12 samples/sec Train-accuracy=0.472154 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.719000 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 112.85 samples/sec Train-accuracy=0.467692 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 112.85 samples/sec Train-top_k_accuracy_5=0.715615 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 113.10 samples/sec Train-accuracy=0.470308 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 113.10 samples/sec Train-top_k_accuracy_5=0.713692 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 112.95 samples/sec Train-accuracy=0.464615 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.713385 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 113.11 samples/sec Train-accuracy=0.469769 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.711462 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 113.03 samples/sec Train-accuracy=0.473000 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.715769 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 112.98 samples/sec Train-accuracy=0.471462 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.718769 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 113.15 samples/sec Train-accuracy=0.478231 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.719923 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 113.06 samples/sec Train-accuracy=0.464462 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.710000 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 113.22 samples/sec Train-accuracy=0.469923 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.711077 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 112.98 samples/sec Train-accuracy=0.465769 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 112.98 samples/sec Train-top_k_accuracy_5=0.713769 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 113.02 samples/sec Train-accuracy=0.470538 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.716923 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 112.87 samples/sec Train-accuracy=0.463923 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 112.87 samples/sec Train-top_k_accuracy_5=0.713538 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 113.06 samples/sec Train-accuracy=0.477692 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.723462 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 112.99 samples/sec Train-accuracy=0.476000 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 112.99 samples/sec Train-top_k_accuracy_5=0.723000 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 113.18 samples/sec Train-accuracy=0.471000 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.713846 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 113.20 samples/sec Train-accuracy=0.471000 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.717154 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 112.93 samples/sec Train-accuracy=0.467615 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.710692 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 112.49 samples/sec Train-accuracy=0.471385 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 112.49 samples/sec Train-top_k_accuracy_5=0.711308 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 112.91 samples/sec Train-accuracy=0.470615 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.715846 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 113.04 samples/sec Train-accuracy=0.474154 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.715923 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 113.01 samples/sec Train-accuracy=0.483846 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.725462 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 113.11 samples/sec Train-accuracy=0.466692 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.710077 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 113.75 samples/sec Train-accuracy=0.466231 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.712846 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 113.87 samples/sec Train-accuracy=0.466769 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 113.87 samples/sec Train-top_k_accuracy_5=0.711077 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 114.06 samples/sec Train-accuracy=0.471692 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 114.06 samples/sec Train-top_k_accuracy_5=0.720615 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 113.95 samples/sec Train-accuracy=0.474462 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 113.95 samples/sec Train-top_k_accuracy_5=0.718769 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 114.02 samples/sec Train-accuracy=0.472462 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 114.02 samples/sec Train-top_k_accuracy_5=0.710154 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 114.14 samples/sec Train-accuracy=0.468000 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 114.14 samples/sec Train-top_k_accuracy_5=0.711385 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 113.98 samples/sec Train-accuracy=0.480231 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 113.98 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 113.96 samples/sec Train-accuracy=0.468538 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 113.96 samples/sec Train-top_k_accuracy_5=0.714000 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 114.07 samples/sec Train-accuracy=0.474462 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 114.07 samples/sec Train-top_k_accuracy_5=0.721462 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 113.98 samples/sec Train-accuracy=0.473615 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 113.98 samples/sec Train-top_k_accuracy_5=0.716385 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 113.96 samples/sec Train-accuracy=0.469923 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 113.96 samples/sec Train-top_k_accuracy_5=0.718692 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 113.94 samples/sec Train-accuracy=0.476231 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 113.94 samples/sec Train-top_k_accuracy_5=0.720692 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 114.11 samples/sec Train-accuracy=0.468154 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 114.11 samples/sec Train-top_k_accuracy_5=0.721231 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 114.08 samples/sec Train-accuracy=0.465231 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 114.08 samples/sec Train-top_k_accuracy_5=0.713308 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 114.05 samples/sec Train-accuracy=0.464385 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 114.05 samples/sec Train-top_k_accuracy_5=0.711308 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 114.05 samples/sec Train-accuracy=0.467615 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 114.05 samples/sec Train-top_k_accuracy_5=0.711385 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 113.98 samples/sec Train-accuracy=0.472000 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 113.98 samples/sec Train-top_k_accuracy_5=0.717154 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 113.97 samples/sec Train-accuracy=0.471538 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 113.97 samples/sec Train-top_k_accuracy_5=0.713077 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 114.06 samples/sec Train-accuracy=0.475077 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 114.06 samples/sec Train-top_k_accuracy_5=0.721154 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 113.98 samples/sec Train-accuracy=0.469692 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 113.98 samples/sec Train-top_k_accuracy_5=0.714846 | |
| INFO:root:Epoch[10] Resetting Data Iterator | |
| INFO:root:Epoch[10] Time cost=11311.793 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0011.params" | |
| INFO:root:Epoch[10] Validation-accuracy=0.532204 | |
| INFO:root:Epoch[10] Validation-top_k_accuracy_5=0.786050 | |
| INFO:root:Namespace(aug_level=3, batch_size=260, bn_mom=0.9, data_dir='/home/ubuntu/imagenet', data_type='imagenet', depth=152, frequent=50, gpus='6,7,8,9,10,11,12,13,14,15', kv_store='device', list_dir='./', lr=0.1, memonger=False, model_load_epoch=11, mom=0.9, num_classes=1000, num_examples=1281167, retrain=True, wd=0.0001, workspace=512) | |
| [19:59:24] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [19:59:27] src/io/iter_image_recordio.cc:221: ImageRecordIOParser: /home/ubuntu/imagenet/val_256_q90.rec, use 4 threads for decoding.. | |
| INFO:root:Start training with [gpu(6), gpu(7), gpu(8), gpu(9), gpu(10), gpu(11), gpu(12), gpu(13), gpu(14), gpu(15)] | |
| INFO:root:Epoch[11] Batch [50] Speed: 116.49 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[11] Batch [50] Speed: 116.49 samples/sec Train-top_k_accuracy_5=0.732000 | |
| INFO:root:Epoch[11] Batch [100] Speed: 112.75 samples/sec Train-accuracy=0.477538 | |
| INFO:root:Epoch[11] Batch [100] Speed: 112.75 samples/sec Train-top_k_accuracy_5=0.711769 | |
| INFO:root:Epoch[11] Batch [150] Speed: 112.25 samples/sec Train-accuracy=0.481846 | |
| INFO:root:Epoch[11] Batch [150] Speed: 112.25 samples/sec Train-top_k_accuracy_5=0.720692 | |
| INFO:root:Epoch[11] Batch [200] Speed: 112.28 samples/sec Train-accuracy=0.474385 | |
| INFO:root:Epoch[11] Batch [200] Speed: 112.28 samples/sec Train-top_k_accuracy_5=0.722846 | |
| INFO:root:Epoch[11] Batch [250] Speed: 112.46 samples/sec Train-accuracy=0.469000 | |
| INFO:root:Epoch[11] Batch [250] Speed: 112.46 samples/sec Train-top_k_accuracy_5=0.714077 | |
| INFO:root:Epoch[11] Batch [300] Speed: 112.39 samples/sec Train-accuracy=0.470923 | |
| INFO:root:Epoch[11] Batch [300] Speed: 112.39 samples/sec Train-top_k_accuracy_5=0.718538 | |
| INFO:root:Epoch[11] Batch [350] Speed: 112.33 samples/sec Train-accuracy=0.480077 | |
| INFO:root:Epoch[11] Batch [350] Speed: 112.33 samples/sec Train-top_k_accuracy_5=0.724692 | |
| INFO:root:Epoch[11] Batch [400] Speed: 112.22 samples/sec Train-accuracy=0.476615 | |
| INFO:root:Epoch[11] Batch [400] Speed: 112.22 samples/sec Train-top_k_accuracy_5=0.727538 | |
| INFO:root:Epoch[11] Batch [450] Speed: 112.28 samples/sec Train-accuracy=0.472154 | |
| INFO:root:Epoch[11] Batch [450] Speed: 112.28 samples/sec Train-top_k_accuracy_5=0.716615 | |
| INFO:root:Epoch[11] Batch [500] Speed: 112.24 samples/sec Train-accuracy=0.472077 | |
| INFO:root:Epoch[11] Batch [500] Speed: 112.24 samples/sec Train-top_k_accuracy_5=0.717769 | |
| INFO:root:Epoch[11] Batch [550] Speed: 112.22 samples/sec Train-accuracy=0.476538 | |
| INFO:root:Epoch[11] Batch [550] Speed: 112.22 samples/sec Train-top_k_accuracy_5=0.721846 | |
| INFO:root:Epoch[11] Batch [600] Speed: 112.29 samples/sec Train-accuracy=0.462923 | |
| INFO:root:Epoch[11] Batch [600] Speed: 112.29 samples/sec Train-top_k_accuracy_5=0.711769 | |
| INFO:root:Epoch[11] Batch [650] Speed: 113.01 samples/sec Train-accuracy=0.469462 | |
| INFO:root:Epoch[11] Batch [650] Speed: 113.01 samples/sec Train-top_k_accuracy_5=0.715769 | |
| INFO:root:Epoch[11] Batch [700] Speed: 113.25 samples/sec Train-accuracy=0.469308 | |
| INFO:root:Epoch[11] Batch [700] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.715385 | |
| INFO:root:Epoch[11] Batch [750] Speed: 113.34 samples/sec Train-accuracy=0.473308 | |
| INFO:root:Epoch[11] Batch [750] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.717923 | |
| INFO:root:Epoch[11] Batch [800] Speed: 113.21 samples/sec Train-accuracy=0.472538 | |
| INFO:root:Epoch[11] Batch [800] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[11] Batch [850] Speed: 113.43 samples/sec Train-accuracy=0.469231 | |
| INFO:root:Epoch[11] Batch [850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.719692 | |
| INFO:root:Epoch[11] Batch [900] Speed: 113.31 samples/sec Train-accuracy=0.472538 | |
| INFO:root:Epoch[11] Batch [900] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.711231 | |
| INFO:root:Epoch[11] Batch [950] Speed: 113.11 samples/sec Train-accuracy=0.477000 | |
| INFO:root:Epoch[11] Batch [950] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.724692 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 113.29 samples/sec Train-accuracy=0.479231 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.720385 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 113.30 samples/sec Train-accuracy=0.471385 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.718538 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 113.39 samples/sec Train-accuracy=0.475154 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.727615 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 113.33 samples/sec Train-accuracy=0.473692 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.717692 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 113.30 samples/sec Train-accuracy=0.471000 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.716846 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 113.37 samples/sec Train-accuracy=0.478846 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.723846 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 113.23 samples/sec Train-accuracy=0.472538 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.719846 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 113.03 samples/sec Train-accuracy=0.478538 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 113.03 samples/sec Train-top_k_accuracy_5=0.718692 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 113.28 samples/sec Train-accuracy=0.477308 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.723000 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 113.24 samples/sec Train-accuracy=0.483308 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.722000 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 113.27 samples/sec Train-accuracy=0.477846 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.718154 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 113.36 samples/sec Train-accuracy=0.475231 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.722769 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 113.19 samples/sec Train-accuracy=0.484154 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.722538 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 113.22 samples/sec Train-accuracy=0.475538 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.719385 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 113.05 samples/sec Train-accuracy=0.474615 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 113.05 samples/sec Train-top_k_accuracy_5=0.719692 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 113.33 samples/sec Train-accuracy=0.470077 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.715154 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 113.18 samples/sec Train-accuracy=0.480846 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 113.18 samples/sec Train-top_k_accuracy_5=0.724231 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 113.30 samples/sec Train-accuracy=0.482385 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.725385 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 113.30 samples/sec Train-accuracy=0.472077 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.717385 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 113.26 samples/sec Train-accuracy=0.483846 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 113.37 samples/sec Train-accuracy=0.469615 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.715615 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 113.28 samples/sec Train-accuracy=0.473385 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.718154 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 113.37 samples/sec Train-accuracy=0.480154 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.725231 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 113.29 samples/sec Train-accuracy=0.481615 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.723000 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 113.16 samples/sec Train-accuracy=0.480692 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.727923 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 113.35 samples/sec Train-accuracy=0.470154 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.716615 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 113.13 samples/sec Train-accuracy=0.469538 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.716462 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 113.19 samples/sec Train-accuracy=0.476000 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.715308 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 113.26 samples/sec Train-accuracy=0.481692 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.714615 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 113.15 samples/sec Train-accuracy=0.472615 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.718385 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 113.24 samples/sec Train-accuracy=0.477462 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.721692 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 113.47 samples/sec Train-accuracy=0.471769 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.713385 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 113.07 samples/sec Train-accuracy=0.472769 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.722385 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 113.32 samples/sec Train-accuracy=0.474462 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.723077 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 113.22 samples/sec Train-accuracy=0.474615 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.723231 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 113.22 samples/sec Train-accuracy=0.486615 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.725923 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 113.31 samples/sec Train-accuracy=0.475462 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.718000 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 113.51 samples/sec Train-accuracy=0.477846 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.722692 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 113.40 samples/sec Train-accuracy=0.478462 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.721000 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 113.53 samples/sec Train-accuracy=0.474000 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.715385 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 113.36 samples/sec Train-accuracy=0.476769 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.718769 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 113.41 samples/sec Train-accuracy=0.478923 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.725615 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 113.53 samples/sec Train-accuracy=0.474692 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.720846 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 113.35 samples/sec Train-accuracy=0.472231 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.721154 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 113.34 samples/sec Train-accuracy=0.473692 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.725615 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 113.36 samples/sec Train-accuracy=0.475462 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.723231 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 113.31 samples/sec Train-accuracy=0.477692 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.720615 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 113.31 samples/sec Train-accuracy=0.477462 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.729769 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 113.35 samples/sec Train-accuracy=0.475692 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.722231 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 113.41 samples/sec Train-accuracy=0.477923 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.720385 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 113.27 samples/sec Train-accuracy=0.479846 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.725231 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 113.14 samples/sec Train-accuracy=0.477615 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.723077 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 113.32 samples/sec Train-accuracy=0.482923 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.728462 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 113.32 samples/sec Train-accuracy=0.473923 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.718462 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 113.43 samples/sec Train-accuracy=0.481000 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.719615 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 113.32 samples/sec Train-accuracy=0.473385 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 113.24 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.727692 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 113.35 samples/sec Train-accuracy=0.485462 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 113.38 samples/sec Train-accuracy=0.473769 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.719154 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 113.28 samples/sec Train-accuracy=0.475923 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.721077 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 113.37 samples/sec Train-accuracy=0.481538 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.722308 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 113.41 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 113.25 samples/sec Train-accuracy=0.482000 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.725231 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 113.31 samples/sec Train-accuracy=0.479769 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.721308 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 113.44 samples/sec Train-accuracy=0.469154 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.718154 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 113.41 samples/sec Train-accuracy=0.480692 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.721692 | |
| INFO:root:Epoch[11] Batch [4300] Speed: 113.22 samples/sec Train-accuracy=0.477538 | |
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| INFO:root:Epoch[11] Batch [4350] Speed: 113.29 samples/sec Train-accuracy=0.487462 | |
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| INFO:root:Epoch[11] Batch [4400] Speed: 113.32 samples/sec Train-accuracy=0.475846 | |
| INFO:root:Epoch[11] Batch [4400] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.718077 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 113.37 samples/sec Train-accuracy=0.478846 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.728615 | |
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| INFO:root:Epoch[11] Batch [4500] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.721154 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 113.40 samples/sec Train-accuracy=0.475077 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.721615 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 113.31 samples/sec Train-accuracy=0.466769 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.717692 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 113.29 samples/sec Train-accuracy=0.476615 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.719846 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 113.28 samples/sec Train-accuracy=0.479077 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.727000 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 113.33 samples/sec Train-accuracy=0.477385 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.722385 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 113.37 samples/sec Train-accuracy=0.484154 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.723462 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 113.31 samples/sec Train-accuracy=0.482692 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.725385 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 113.21 samples/sec Train-accuracy=0.476231 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.725231 | |
| INFO:root:Epoch[11] Resetting Data Iterator | |
| INFO:root:Epoch[11] Time cost=11331.265 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0012.params" | |
| INFO:root:Epoch[11] Validation-accuracy=0.543065 | |
| INFO:root:Epoch[11] Validation-top_k_accuracy_5=0.795516 | |
| INFO:root:Epoch[12] Batch [50] Speed: 115.80 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[12] Batch [50] Speed: 115.80 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[12] Batch [100] Speed: 113.57 samples/sec Train-accuracy=0.479846 | |
| INFO:root:Epoch[12] Batch [100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.720923 | |
| INFO:root:Epoch[12] Batch [150] Speed: 113.45 samples/sec Train-accuracy=0.477846 | |
| INFO:root:Epoch[12] Batch [150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.721308 | |
| INFO:root:Epoch[12] Batch [200] Speed: 113.50 samples/sec Train-accuracy=0.477769 | |
| INFO:root:Epoch[12] Batch [200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[12] Batch [250] Speed: 113.32 samples/sec Train-accuracy=0.471846 | |
| INFO:root:Epoch[12] Batch [250] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.716462 | |
| INFO:root:Epoch[12] Batch [300] Speed: 113.36 samples/sec Train-accuracy=0.486077 | |
| INFO:root:Epoch[12] Batch [300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.724615 | |
| INFO:root:Epoch[12] Batch [350] Speed: 113.43 samples/sec Train-accuracy=0.480923 | |
| INFO:root:Epoch[12] Batch [350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.726077 | |
| INFO:root:Epoch[12] Batch [400] Speed: 113.37 samples/sec Train-accuracy=0.481077 | |
| INFO:root:Epoch[12] Batch [400] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[12] Batch [450] Speed: 113.54 samples/sec Train-accuracy=0.479692 | |
| INFO:root:Epoch[12] Batch [450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[12] Batch [500] Speed: 113.49 samples/sec Train-accuracy=0.482154 | |
| INFO:root:Epoch[12] Batch [500] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[12] Batch [550] Speed: 113.43 samples/sec Train-accuracy=0.479385 | |
| INFO:root:Epoch[12] Batch [550] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.722615 | |
| INFO:root:Epoch[12] Batch [600] Speed: 113.51 samples/sec Train-accuracy=0.473308 | |
| INFO:root:Epoch[12] Batch [600] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.720154 | |
| INFO:root:Epoch[12] Batch [650] Speed: 113.48 samples/sec Train-accuracy=0.481000 | |
| INFO:root:Epoch[12] Batch [650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[12] Batch [700] Speed: 113.41 samples/sec Train-accuracy=0.480846 | |
| INFO:root:Epoch[12] Batch [700] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.719692 | |
| INFO:root:Epoch[12] Batch [750] Speed: 113.53 samples/sec Train-accuracy=0.482692 | |
| INFO:root:Epoch[12] Batch [750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[12] Batch [800] Speed: 113.29 samples/sec Train-accuracy=0.475538 | |
| INFO:root:Epoch[12] Batch [800] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.719308 | |
| INFO:root:Epoch[12] Batch [850] Speed: 113.43 samples/sec Train-accuracy=0.473769 | |
| INFO:root:Epoch[12] Batch [850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.718692 | |
| INFO:root:Epoch[12] Batch [900] Speed: 113.40 samples/sec Train-accuracy=0.477923 | |
| INFO:root:Epoch[12] Batch [900] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.722462 | |
| INFO:root:Epoch[12] Batch [950] Speed: 113.39 samples/sec Train-accuracy=0.473231 | |
| INFO:root:Epoch[12] Batch [950] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.725462 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 113.41 samples/sec Train-accuracy=0.478846 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.728923 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 113.26 samples/sec Train-accuracy=0.487000 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 113.47 samples/sec Train-accuracy=0.478231 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 113.44 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.724385 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 113.55 samples/sec Train-accuracy=0.477385 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.717385 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 113.57 samples/sec Train-accuracy=0.477077 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.717923 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 113.41 samples/sec Train-accuracy=0.475077 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.720308 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 113.54 samples/sec Train-accuracy=0.480385 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 113.38 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 113.43 samples/sec Train-accuracy=0.484154 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.729462 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 113.31 samples/sec Train-accuracy=0.479077 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.726308 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 113.42 samples/sec Train-accuracy=0.484385 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.725077 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 113.55 samples/sec Train-accuracy=0.479077 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.719077 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 113.41 samples/sec Train-accuracy=0.483077 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.725769 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 112.84 samples/sec Train-accuracy=0.476231 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 112.84 samples/sec Train-top_k_accuracy_5=0.718462 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 113.49 samples/sec Train-accuracy=0.472923 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.719923 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 113.44 samples/sec Train-accuracy=0.489385 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.733462 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 113.58 samples/sec Train-accuracy=0.490846 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 113.39 samples/sec Train-accuracy=0.479538 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.724308 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 113.42 samples/sec Train-accuracy=0.487000 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.729385 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 113.36 samples/sec Train-accuracy=0.472231 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.720077 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 113.30 samples/sec Train-accuracy=0.482385 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.721231 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 113.12 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.735462 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 113.43 samples/sec Train-accuracy=0.482538 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 113.35 samples/sec Train-accuracy=0.482308 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.728385 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 113.41 samples/sec Train-accuracy=0.486615 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 113.22 samples/sec Train-accuracy=0.480923 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.728231 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 113.37 samples/sec Train-accuracy=0.479846 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.714923 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 113.36 samples/sec Train-accuracy=0.486385 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 113.50 samples/sec Train-accuracy=0.480846 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.726846 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 113.39 samples/sec Train-accuracy=0.476692 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 112.91 samples/sec Train-accuracy=0.474385 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 112.91 samples/sec Train-top_k_accuracy_5=0.721308 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 113.44 samples/sec Train-accuracy=0.477077 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.722462 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 113.41 samples/sec Train-accuracy=0.475769 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.723462 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 113.40 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.729308 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 113.43 samples/sec Train-accuracy=0.485385 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.727231 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 113.31 samples/sec Train-accuracy=0.483000 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.724308 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 113.52 samples/sec Train-accuracy=0.484077 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.723923 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 113.54 samples/sec Train-accuracy=0.475308 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.720769 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 113.46 samples/sec Train-accuracy=0.474615 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.718231 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 113.36 samples/sec Train-accuracy=0.479692 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.725692 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 113.49 samples/sec Train-accuracy=0.487000 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 113.42 samples/sec Train-accuracy=0.482077 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.726769 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 113.49 samples/sec Train-accuracy=0.484769 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.727615 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 113.47 samples/sec Train-accuracy=0.477769 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.724462 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 113.46 samples/sec Train-accuracy=0.482846 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.727923 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 113.14 samples/sec Train-accuracy=0.480769 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 113.14 samples/sec Train-top_k_accuracy_5=0.720538 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 113.46 samples/sec Train-accuracy=0.483308 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.722308 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 113.40 samples/sec Train-accuracy=0.484923 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.727077 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 113.49 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.725462 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 113.52 samples/sec Train-accuracy=0.484231 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.731077 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 113.35 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.721154 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 113.49 samples/sec Train-accuracy=0.489538 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.732154 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 113.37 samples/sec Train-accuracy=0.486077 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 113.50 samples/sec Train-accuracy=0.478615 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.722615 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 113.46 samples/sec Train-accuracy=0.482692 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.725385 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 113.54 samples/sec Train-accuracy=0.491385 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.729154 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 113.38 samples/sec Train-accuracy=0.485923 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.731615 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 113.50 samples/sec Train-accuracy=0.480308 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.724538 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 113.52 samples/sec Train-accuracy=0.477462 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.726538 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 113.53 samples/sec Train-accuracy=0.488538 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.725769 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 113.53 samples/sec Train-accuracy=0.483923 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.732615 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 113.36 samples/sec Train-accuracy=0.490231 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.732769 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 113.34 samples/sec Train-accuracy=0.485385 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.719077 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 113.52 samples/sec Train-accuracy=0.483154 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.730692 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 113.48 samples/sec Train-accuracy=0.482846 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.726692 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 113.49 samples/sec Train-accuracy=0.481154 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 113.30 samples/sec Train-accuracy=0.483154 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.725769 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 113.39 samples/sec Train-accuracy=0.483308 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.723385 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 113.52 samples/sec Train-accuracy=0.482308 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.722077 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 113.33 samples/sec Train-accuracy=0.482615 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.726462 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 113.36 samples/sec Train-accuracy=0.477308 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.726692 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 113.53 samples/sec Train-accuracy=0.481615 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.722692 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 113.32 samples/sec Train-accuracy=0.472538 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.720923 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 113.38 samples/sec Train-accuracy=0.482846 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.725385 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 113.45 samples/sec Train-accuracy=0.490154 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.724308 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 113.51 samples/sec Train-accuracy=0.481538 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.722692 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 113.57 samples/sec Train-accuracy=0.481846 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 113.37 samples/sec Train-accuracy=0.482385 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.724000 | |
| INFO:root:Epoch[12] Resetting Data Iterator | |
| INFO:root:Epoch[12] Time cost=11295.570 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0013.params" | |
| INFO:root:Epoch[12] Validation-accuracy=0.514568 | |
| INFO:root:Epoch[12] Validation-top_k_accuracy_5=0.773814 | |
| INFO:root:Epoch[13] Batch [50] Speed: 115.57 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[13] Batch [50] Speed: 115.57 samples/sec Train-top_k_accuracy_5=0.738692 | |
| INFO:root:Epoch[13] Batch [100] Speed: 113.25 samples/sec Train-accuracy=0.486308 | |
| INFO:root:Epoch[13] Batch [100] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[13] Batch [150] Speed: 113.44 samples/sec Train-accuracy=0.478000 | |
| INFO:root:Epoch[13] Batch [150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.723615 | |
| INFO:root:Epoch[13] Batch [200] Speed: 113.45 samples/sec Train-accuracy=0.486000 | |
| INFO:root:Epoch[13] Batch [200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.729000 | |
| INFO:root:Epoch[13] Batch [250] Speed: 113.42 samples/sec Train-accuracy=0.474077 | |
| INFO:root:Epoch[13] Batch [250] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.721077 | |
| INFO:root:Epoch[13] Batch [300] Speed: 113.48 samples/sec Train-accuracy=0.484769 | |
| INFO:root:Epoch[13] Batch [300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.732000 | |
| INFO:root:Epoch[13] Batch [350] Speed: 113.30 samples/sec Train-accuracy=0.487231 | |
| INFO:root:Epoch[13] Batch [350] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.731308 | |
| INFO:root:Epoch[13] Batch [400] Speed: 113.46 samples/sec Train-accuracy=0.484692 | |
| INFO:root:Epoch[13] Batch [400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.730308 | |
| INFO:root:Epoch[13] Batch [450] Speed: 113.42 samples/sec Train-accuracy=0.482769 | |
| INFO:root:Epoch[13] Batch [450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.729154 | |
| INFO:root:Epoch[13] Batch [500] Speed: 113.26 samples/sec Train-accuracy=0.479769 | |
| INFO:root:Epoch[13] Batch [500] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.723154 | |
| INFO:root:Epoch[13] Batch [550] Speed: 113.50 samples/sec Train-accuracy=0.481000 | |
| INFO:root:Epoch[13] Batch [550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.729923 | |
| INFO:root:Epoch[13] Batch [600] Speed: 113.27 samples/sec Train-accuracy=0.481846 | |
| INFO:root:Epoch[13] Batch [600] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.726462 | |
| INFO:root:Epoch[13] Batch [650] Speed: 113.28 samples/sec Train-accuracy=0.490308 | |
| INFO:root:Epoch[13] Batch [650] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.732231 | |
| INFO:root:Epoch[13] Batch [700] Speed: 113.29 samples/sec Train-accuracy=0.483615 | |
| INFO:root:Epoch[13] Batch [700] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.726000 | |
| INFO:root:Epoch[13] Batch [750] Speed: 113.32 samples/sec Train-accuracy=0.485846 | |
| INFO:root:Epoch[13] Batch [750] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[13] Batch [800] Speed: 113.33 samples/sec Train-accuracy=0.481692 | |
| INFO:root:Epoch[13] Batch [800] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[13] Batch [850] Speed: 113.19 samples/sec Train-accuracy=0.481615 | |
| INFO:root:Epoch[13] Batch [850] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.729154 | |
| INFO:root:Epoch[13] Batch [900] Speed: 113.35 samples/sec Train-accuracy=0.483077 | |
| INFO:root:Epoch[13] Batch [900] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.722692 | |
| INFO:root:Epoch[13] Batch [950] Speed: 113.45 samples/sec Train-accuracy=0.480462 | |
| INFO:root:Epoch[13] Batch [950] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.727385 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 113.35 samples/sec Train-accuracy=0.487231 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.726923 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 113.41 samples/sec Train-accuracy=0.481308 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.724769 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 113.33 samples/sec Train-accuracy=0.486769 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 113.31 samples/sec Train-accuracy=0.484385 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.727538 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 113.22 samples/sec Train-accuracy=0.481077 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.722462 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 113.30 samples/sec Train-accuracy=0.481154 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.723923 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 113.45 samples/sec Train-accuracy=0.482615 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.727692 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 113.29 samples/sec Train-accuracy=0.483769 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.727231 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 113.32 samples/sec Train-accuracy=0.491538 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.733000 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 113.39 samples/sec Train-accuracy=0.481538 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.728692 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 113.43 samples/sec Train-accuracy=0.489154 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 113.45 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.730231 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 112.67 samples/sec Train-accuracy=0.489846 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 112.67 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 113.42 samples/sec Train-accuracy=0.483538 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.731692 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 113.37 samples/sec Train-accuracy=0.480538 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.724077 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 113.42 samples/sec Train-accuracy=0.483769 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.726615 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 113.49 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 113.48 samples/sec Train-accuracy=0.490231 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.734077 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 113.35 samples/sec Train-accuracy=0.481077 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.724308 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 113.40 samples/sec Train-accuracy=0.485077 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.732462 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 113.26 samples/sec Train-accuracy=0.476615 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.721615 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 113.42 samples/sec Train-accuracy=0.488846 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.730231 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 113.48 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 113.45 samples/sec Train-accuracy=0.490769 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 113.50 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.729692 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 113.41 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.722385 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 113.15 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.730231 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 113.41 samples/sec Train-accuracy=0.482538 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.722000 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 113.51 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.728538 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 113.33 samples/sec Train-accuracy=0.485308 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.730769 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 113.33 samples/sec Train-accuracy=0.484769 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.728077 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 113.37 samples/sec Train-accuracy=0.480077 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.727615 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 113.49 samples/sec Train-accuracy=0.485846 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.734077 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 113.44 samples/sec Train-accuracy=0.480692 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 113.36 samples/sec Train-accuracy=0.486538 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.730769 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 113.34 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.729154 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 113.40 samples/sec Train-accuracy=0.484231 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 113.49 samples/sec Train-accuracy=0.483538 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 113.28 samples/sec Train-accuracy=0.486769 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.728000 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 113.38 samples/sec Train-accuracy=0.485615 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 113.49 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.727923 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 113.35 samples/sec Train-accuracy=0.482769 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.725615 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 113.44 samples/sec Train-accuracy=0.485308 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.729308 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 113.49 samples/sec Train-accuracy=0.488308 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.730846 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 113.27 samples/sec Train-accuracy=0.484154 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 113.32 samples/sec Train-accuracy=0.484385 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 113.36 samples/sec Train-accuracy=0.479231 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.725923 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 113.40 samples/sec Train-accuracy=0.485462 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.729077 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 113.39 samples/sec Train-accuracy=0.476000 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.727462 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 113.36 samples/sec Train-accuracy=0.485846 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 113.40 samples/sec Train-accuracy=0.491231 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 113.32 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.731385 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 113.36 samples/sec Train-accuracy=0.489692 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.735846 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 113.36 samples/sec Train-accuracy=0.485615 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.730308 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 113.47 samples/sec Train-accuracy=0.479846 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.722769 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 113.45 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 113.54 samples/sec Train-accuracy=0.496231 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 113.41 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 113.53 samples/sec Train-accuracy=0.480308 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.730769 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 113.33 samples/sec Train-accuracy=0.473615 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.728077 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 113.31 samples/sec Train-accuracy=0.492769 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.735231 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 113.45 samples/sec Train-accuracy=0.490231 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.735231 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 113.36 samples/sec Train-accuracy=0.489077 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.732769 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 113.43 samples/sec Train-accuracy=0.487308 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.726077 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 113.22 samples/sec Train-accuracy=0.481769 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.730923 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 113.45 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.729308 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 113.34 samples/sec Train-accuracy=0.485077 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 113.31 samples/sec Train-accuracy=0.489077 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.732538 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 113.49 samples/sec Train-accuracy=0.484923 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.725077 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 113.32 samples/sec Train-accuracy=0.484000 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.725846 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 113.42 samples/sec Train-accuracy=0.491538 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.738231 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 113.30 samples/sec Train-accuracy=0.486000 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 113.38 samples/sec Train-accuracy=0.482769 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 113.42 samples/sec Train-accuracy=0.483385 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 113.40 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.735154 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 113.38 samples/sec Train-accuracy=0.484000 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.729154 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 113.52 samples/sec Train-accuracy=0.481462 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.726846 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 113.36 samples/sec Train-accuracy=0.485615 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.726077 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 113.20 samples/sec Train-accuracy=0.483154 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.724846 | |
| INFO:root:Epoch[13] Resetting Data Iterator | |
| INFO:root:Epoch[13] Time cost=11297.977 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0014.params" | |
| INFO:root:Epoch[13] Validation-accuracy=0.542487 | |
| INFO:root:Epoch[13] Validation-top_k_accuracy_5=0.793942 | |
| INFO:root:Epoch[14] Batch [50] Speed: 115.89 samples/sec Train-accuracy=0.493692 | |
| INFO:root:Epoch[14] Batch [50] Speed: 115.89 samples/sec Train-top_k_accuracy_5=0.734000 | |
| INFO:root:Epoch[14] Batch [100] Speed: 113.45 samples/sec Train-accuracy=0.487769 | |
| INFO:root:Epoch[14] Batch [100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.732692 | |
| INFO:root:Epoch[14] Batch [150] Speed: 113.51 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[14] Batch [150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.731692 | |
| INFO:root:Epoch[14] Batch [200] Speed: 113.43 samples/sec Train-accuracy=0.483769 | |
| INFO:root:Epoch[14] Batch [200] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.729385 | |
| INFO:root:Epoch[14] Batch [250] Speed: 113.51 samples/sec Train-accuracy=0.488308 | |
| INFO:root:Epoch[14] Batch [250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.730846 | |
| INFO:root:Epoch[14] Batch [300] Speed: 113.49 samples/sec Train-accuracy=0.486000 | |
| INFO:root:Epoch[14] Batch [300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.732077 | |
| INFO:root:Epoch[14] Batch [350] Speed: 113.39 samples/sec Train-accuracy=0.490462 | |
| INFO:root:Epoch[14] Batch [350] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.734385 | |
| INFO:root:Epoch[14] Batch [400] Speed: 113.49 samples/sec Train-accuracy=0.487077 | |
| INFO:root:Epoch[14] Batch [400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.731385 | |
| INFO:root:Epoch[14] Batch [450] Speed: 113.43 samples/sec Train-accuracy=0.492846 | |
| INFO:root:Epoch[14] Batch [450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.734769 | |
| INFO:root:Epoch[14] Batch [500] Speed: 113.51 samples/sec Train-accuracy=0.488385 | |
| INFO:root:Epoch[14] Batch [500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.736385 | |
| INFO:root:Epoch[14] Batch [550] Speed: 113.38 samples/sec Train-accuracy=0.486923 | |
| INFO:root:Epoch[14] Batch [550] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.729692 | |
| INFO:root:Epoch[14] Batch [600] Speed: 113.50 samples/sec Train-accuracy=0.486308 | |
| INFO:root:Epoch[14] Batch [600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.721154 | |
| INFO:root:Epoch[14] Batch [650] Speed: 113.51 samples/sec Train-accuracy=0.483308 | |
| INFO:root:Epoch[14] Batch [650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.729692 | |
| INFO:root:Epoch[14] Batch [700] Speed: 113.60 samples/sec Train-accuracy=0.482769 | |
| INFO:root:Epoch[14] Batch [700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.725231 | |
| INFO:root:Epoch[14] Batch [750] Speed: 113.58 samples/sec Train-accuracy=0.490154 | |
| INFO:root:Epoch[14] Batch [750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.731077 | |
| INFO:root:Epoch[14] Batch [800] Speed: 113.46 samples/sec Train-accuracy=0.481077 | |
| INFO:root:Epoch[14] Batch [800] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.724077 | |
| INFO:root:Epoch[14] Batch [850] Speed: 113.50 samples/sec Train-accuracy=0.483538 | |
| INFO:root:Epoch[14] Batch [850] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.728000 | |
| INFO:root:Epoch[14] Batch [900] Speed: 113.50 samples/sec Train-accuracy=0.482615 | |
| INFO:root:Epoch[14] Batch [900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.724692 | |
| INFO:root:Epoch[14] Batch [950] Speed: 113.42 samples/sec Train-accuracy=0.487000 | |
| INFO:root:Epoch[14] Batch [950] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.733769 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 113.43 samples/sec Train-accuracy=0.487615 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736615 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 113.59 samples/sec Train-accuracy=0.484077 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 113.55 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.735769 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 113.47 samples/sec Train-accuracy=0.490615 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.730385 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 113.52 samples/sec Train-accuracy=0.481538 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.720846 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 113.49 samples/sec Train-accuracy=0.488846 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.731538 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 113.21 samples/sec Train-accuracy=0.481692 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 113.56 samples/sec Train-accuracy=0.491692 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 113.28 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.732154 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 113.45 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.727769 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 113.55 samples/sec Train-accuracy=0.493692 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 113.42 samples/sec Train-accuracy=0.491385 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.731154 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 113.35 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.730769 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 113.46 samples/sec Train-accuracy=0.483077 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.729923 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 113.33 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.729077 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 113.46 samples/sec Train-accuracy=0.486385 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.725462 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 113.51 samples/sec Train-accuracy=0.498000 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 113.16 samples/sec Train-accuracy=0.490154 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 113.16 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 113.32 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.725615 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 113.38 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 113.19 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.727308 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 113.26 samples/sec Train-accuracy=0.487538 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.728846 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 113.52 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 113.26 samples/sec Train-accuracy=0.490846 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.735077 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 113.40 samples/sec Train-accuracy=0.492385 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 113.39 samples/sec Train-accuracy=0.487923 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.731692 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 113.34 samples/sec Train-accuracy=0.487077 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.731846 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 113.51 samples/sec Train-accuracy=0.488308 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.732154 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 113.30 samples/sec Train-accuracy=0.487231 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.734462 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 113.42 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.730154 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.484769 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.727692 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 113.40 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.735923 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 113.50 samples/sec Train-accuracy=0.485769 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.728692 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 113.54 samples/sec Train-accuracy=0.488154 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.730308 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 113.37 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 113.55 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.731923 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 113.51 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 113.43 samples/sec Train-accuracy=0.485923 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 113.42 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.730385 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 113.27 samples/sec Train-accuracy=0.485308 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.731769 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 113.42 samples/sec Train-accuracy=0.486538 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.732923 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 113.38 samples/sec Train-accuracy=0.486769 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 113.39 samples/sec Train-accuracy=0.492846 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 113.45 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 113.44 samples/sec Train-accuracy=0.486769 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 113.48 samples/sec Train-accuracy=0.486385 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.731538 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 113.50 samples/sec Train-accuracy=0.490462 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 113.41 samples/sec Train-accuracy=0.487923 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.731923 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 113.52 samples/sec Train-accuracy=0.481308 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.732000 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 113.56 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.736077 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 113.17 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.736385 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 113.44 samples/sec Train-accuracy=0.489846 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 113.43 samples/sec Train-accuracy=0.489692 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.731077 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 113.35 samples/sec Train-accuracy=0.487769 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.732615 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 113.46 samples/sec Train-accuracy=0.486923 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 113.36 samples/sec Train-accuracy=0.485077 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.733077 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 113.43 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.731308 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 113.32 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 113.33 samples/sec Train-accuracy=0.486154 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.729385 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 113.42 samples/sec Train-accuracy=0.485923 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.724769 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 113.33 samples/sec Train-accuracy=0.488154 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 113.29 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.732923 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 112.95 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 113.48 samples/sec Train-accuracy=0.489462 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.726231 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 113.46 samples/sec Train-accuracy=0.488692 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 113.33 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 113.34 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.726000 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 113.58 samples/sec Train-accuracy=0.493077 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.734462 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 113.54 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 113.33 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 113.51 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 113.54 samples/sec Train-accuracy=0.481462 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 113.38 samples/sec Train-accuracy=0.486077 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.723692 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 113.41 samples/sec Train-accuracy=0.480692 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.727385 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 113.47 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 113.41 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.734846 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 113.47 samples/sec Train-accuracy=0.487692 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 113.47 samples/sec Train-accuracy=0.490154 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.733923 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 113.34 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[14] Resetting Data Iterator | |
| INFO:root:Epoch[14] Time cost=11294.954 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0015.params" | |
| INFO:root:Epoch[14] Validation-accuracy=0.551355 | |
| INFO:root:Epoch[14] Validation-top_k_accuracy_5=0.802810 | |
| INFO:root:Epoch[15] Batch [50] Speed: 115.61 samples/sec Train-accuracy=0.490231 | |
| INFO:root:Epoch[15] Batch [50] Speed: 115.61 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[15] Batch [100] Speed: 113.22 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[15] Batch [100] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[15] Batch [150] Speed: 113.45 samples/sec Train-accuracy=0.487154 | |
| INFO:root:Epoch[15] Batch [150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.731308 | |
| INFO:root:Epoch[15] Batch [200] Speed: 113.36 samples/sec Train-accuracy=0.487538 | |
| INFO:root:Epoch[15] Batch [200] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.732077 | |
| INFO:root:Epoch[15] Batch [250] Speed: 113.41 samples/sec Train-accuracy=0.484077 | |
| INFO:root:Epoch[15] Batch [250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.725769 | |
| INFO:root:Epoch[15] Batch [300] Speed: 113.46 samples/sec Train-accuracy=0.481385 | |
| INFO:root:Epoch[15] Batch [300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[15] Batch [350] Speed: 113.39 samples/sec Train-accuracy=0.488615 | |
| INFO:root:Epoch[15] Batch [350] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[15] Batch [400] Speed: 113.19 samples/sec Train-accuracy=0.491615 | |
| INFO:root:Epoch[15] Batch [400] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.736077 | |
| INFO:root:Epoch[15] Batch [450] Speed: 113.48 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[15] Batch [450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.736538 | |
| INFO:root:Epoch[15] Batch [500] Speed: 113.33 samples/sec Train-accuracy=0.481077 | |
| INFO:root:Epoch[15] Batch [500] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.725077 | |
| INFO:root:Epoch[15] Batch [550] Speed: 113.42 samples/sec Train-accuracy=0.484000 | |
| INFO:root:Epoch[15] Batch [550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[15] Batch [600] Speed: 113.35 samples/sec Train-accuracy=0.481231 | |
| INFO:root:Epoch[15] Batch [600] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.726846 | |
| INFO:root:Epoch[15] Batch [650] Speed: 113.41 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[15] Batch [650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.731077 | |
| INFO:root:Epoch[15] Batch [700] Speed: 113.37 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[15] Batch [700] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.726000 | |
| INFO:root:Epoch[15] Batch [750] Speed: 113.58 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[15] Batch [750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.729385 | |
| INFO:root:Epoch[15] Batch [800] Speed: 113.49 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[15] Batch [800] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.730154 | |
| INFO:root:Epoch[15] Batch [850] Speed: 113.54 samples/sec Train-accuracy=0.485308 | |
| INFO:root:Epoch[15] Batch [850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.728231 | |
| INFO:root:Epoch[15] Batch [900] Speed: 113.41 samples/sec Train-accuracy=0.484308 | |
| INFO:root:Epoch[15] Batch [900] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.724538 | |
| INFO:root:Epoch[15] Batch [950] Speed: 113.49 samples/sec Train-accuracy=0.482846 | |
| INFO:root:Epoch[15] Batch [950] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 113.47 samples/sec Train-accuracy=0.489077 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.729000 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 113.53 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 113.45 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 113.46 samples/sec Train-accuracy=0.483538 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 113.50 samples/sec Train-accuracy=0.485462 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.726231 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 113.33 samples/sec Train-accuracy=0.485615 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 113.42 samples/sec Train-accuracy=0.481769 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 113.38 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 113.51 samples/sec Train-accuracy=0.494385 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.734231 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 113.42 samples/sec Train-accuracy=0.490692 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.734385 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 113.42 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.732154 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 113.47 samples/sec Train-accuracy=0.490462 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.735692 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 113.38 samples/sec Train-accuracy=0.486231 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.721000 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 113.39 samples/sec Train-accuracy=0.486846 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 113.41 samples/sec Train-accuracy=0.485231 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.728846 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 113.27 samples/sec Train-accuracy=0.486923 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.730846 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 113.38 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.736538 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 113.27 samples/sec Train-accuracy=0.493462 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 113.32 samples/sec Train-accuracy=0.486846 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 113.50 samples/sec Train-accuracy=0.493615 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 113.50 samples/sec Train-accuracy=0.481231 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 113.50 samples/sec Train-accuracy=0.487769 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.727769 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 113.39 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733462 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 113.45 samples/sec Train-accuracy=0.489077 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.728000 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 113.53 samples/sec Train-accuracy=0.493385 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 113.49 samples/sec Train-accuracy=0.479077 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.729231 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 113.43 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 113.44 samples/sec Train-accuracy=0.482846 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.720615 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 113.37 samples/sec Train-accuracy=0.491615 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.733462 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 113.40 samples/sec Train-accuracy=0.479462 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.727154 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 113.48 samples/sec Train-accuracy=0.488769 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.733923 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 113.30 samples/sec Train-accuracy=0.483308 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.729923 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 113.52 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 113.53 samples/sec Train-accuracy=0.484692 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.728385 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 113.48 samples/sec Train-accuracy=0.488385 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 113.57 samples/sec Train-accuracy=0.487077 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.730385 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 113.52 samples/sec Train-accuracy=0.488846 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.727923 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 113.54 samples/sec Train-accuracy=0.491000 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.736077 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 113.29 samples/sec Train-accuracy=0.494385 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.733846 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 113.50 samples/sec Train-accuracy=0.488615 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 113.44 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.731769 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 113.52 samples/sec Train-accuracy=0.492077 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.732692 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 113.34 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.734231 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 112.84 samples/sec Train-accuracy=0.492077 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 112.84 samples/sec Train-top_k_accuracy_5=0.735538 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 113.39 samples/sec Train-accuracy=0.484615 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.730923 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 113.44 samples/sec Train-accuracy=0.491692 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.734077 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 113.34 samples/sec Train-accuracy=0.489231 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.730308 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 113.42 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 113.32 samples/sec Train-accuracy=0.488077 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.727385 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 113.57 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 113.37 samples/sec Train-accuracy=0.493615 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.736154 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 113.48 samples/sec Train-accuracy=0.492846 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 113.61 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 113.44 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.731769 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 113.67 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.729385 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 113.51 samples/sec Train-accuracy=0.485077 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 113.41 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 113.49 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 113.38 samples/sec Train-accuracy=0.481846 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.727923 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 113.40 samples/sec Train-accuracy=0.489077 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 113.44 samples/sec Train-accuracy=0.493385 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 113.32 samples/sec Train-accuracy=0.490692 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 113.55 samples/sec Train-accuracy=0.492154 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.736923 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 113.45 samples/sec Train-accuracy=0.492231 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.728692 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 113.45 samples/sec Train-accuracy=0.487308 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733385 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 113.48 samples/sec Train-accuracy=0.492385 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 113.33 samples/sec Train-accuracy=0.484769 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.727308 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 113.40 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.735538 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 113.59 samples/sec Train-accuracy=0.482769 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 113.41 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.729077 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 113.45 samples/sec Train-accuracy=0.493077 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 113.42 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 113.52 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.731538 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 113.47 samples/sec Train-accuracy=0.487692 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.731923 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 113.45 samples/sec Train-accuracy=0.488308 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 113.45 samples/sec Train-accuracy=0.485846 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.730308 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 113.44 samples/sec Train-accuracy=0.489385 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.726462 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 113.45 samples/sec Train-accuracy=0.491385 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.726846 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 113.58 samples/sec Train-accuracy=0.485154 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.729000 | |
| INFO:root:Epoch[15] Resetting Data Iterator | |
| INFO:root:Epoch[15] Time cost=11292.139 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0016.params" | |
| INFO:root:Epoch[15] Validation-accuracy=0.540295 | |
| INFO:root:Epoch[15] Validation-top_k_accuracy_5=0.794141 | |
| INFO:root:Epoch[16] Batch [50] Speed: 115.76 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[16] Batch [50] Speed: 115.76 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[16] Batch [100] Speed: 113.50 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[16] Batch [100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.730846 | |
| INFO:root:Epoch[16] Batch [150] Speed: 113.42 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[16] Batch [150] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.733462 | |
| INFO:root:Epoch[16] Batch [200] Speed: 113.35 samples/sec Train-accuracy=0.485385 | |
| INFO:root:Epoch[16] Batch [200] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[16] Batch [250] Speed: 113.32 samples/sec Train-accuracy=0.481846 | |
| INFO:root:Epoch[16] Batch [250] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.727846 | |
| INFO:root:Epoch[16] Batch [300] Speed: 113.57 samples/sec Train-accuracy=0.494154 | |
| INFO:root:Epoch[16] Batch [300] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[16] Batch [350] Speed: 113.56 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[16] Batch [350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[16] Batch [400] Speed: 113.40 samples/sec Train-accuracy=0.495923 | |
| INFO:root:Epoch[16] Batch [400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[16] Batch [450] Speed: 113.47 samples/sec Train-accuracy=0.487308 | |
| INFO:root:Epoch[16] Batch [450] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[16] Batch [500] Speed: 113.56 samples/sec Train-accuracy=0.487615 | |
| INFO:root:Epoch[16] Batch [500] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.729538 | |
| INFO:root:Epoch[16] Batch [550] Speed: 113.59 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[16] Batch [550] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.728769 | |
| INFO:root:Epoch[16] Batch [600] Speed: 113.44 samples/sec Train-accuracy=0.485769 | |
| INFO:root:Epoch[16] Batch [600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.731077 | |
| INFO:root:Epoch[16] Batch [650] Speed: 113.48 samples/sec Train-accuracy=0.487000 | |
| INFO:root:Epoch[16] Batch [650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.734923 | |
| INFO:root:Epoch[16] Batch [700] Speed: 113.53 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[16] Batch [700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.734154 | |
| INFO:root:Epoch[16] Batch [750] Speed: 113.66 samples/sec Train-accuracy=0.488231 | |
| INFO:root:Epoch[16] Batch [750] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.736077 | |
| INFO:root:Epoch[16] Batch [800] Speed: 113.43 samples/sec Train-accuracy=0.486538 | |
| INFO:root:Epoch[16] Batch [800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[16] Batch [850] Speed: 113.45 samples/sec Train-accuracy=0.484231 | |
| INFO:root:Epoch[16] Batch [850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733385 | |
| INFO:root:Epoch[16] Batch [900] Speed: 113.38 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[16] Batch [900] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.731769 | |
| INFO:root:Epoch[16] Batch [950] Speed: 113.39 samples/sec Train-accuracy=0.490538 | |
| INFO:root:Epoch[16] Batch [950] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733385 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 113.37 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.731692 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 113.48 samples/sec Train-accuracy=0.489538 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 113.48 samples/sec Train-accuracy=0.491538 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 112.94 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 113.40 samples/sec Train-accuracy=0.486846 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.729846 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 113.48 samples/sec Train-accuracy=0.490923 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.734462 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 113.37 samples/sec Train-accuracy=0.492923 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.730154 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 113.40 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.729000 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 113.35 samples/sec Train-accuracy=0.497308 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 113.39 samples/sec Train-accuracy=0.491231 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.732462 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 113.57 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 113.49 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 113.53 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.735846 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 113.38 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 113.33 samples/sec Train-accuracy=0.485231 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.732000 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 113.51 samples/sec Train-accuracy=0.491538 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 113.35 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.741385 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 113.43 samples/sec Train-accuracy=0.492231 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.735077 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 113.49 samples/sec Train-accuracy=0.483462 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.728538 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 113.44 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 113.53 samples/sec Train-accuracy=0.484154 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.728538 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 113.44 samples/sec Train-accuracy=0.490231 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 113.54 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.732538 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 113.52 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.740462 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 113.39 samples/sec Train-accuracy=0.504923 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.737077 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 113.40 samples/sec Train-accuracy=0.490385 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 113.51 samples/sec Train-accuracy=0.485462 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 113.50 samples/sec Train-accuracy=0.487462 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.727231 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 113.42 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 113.51 samples/sec Train-accuracy=0.490154 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 113.57 samples/sec Train-accuracy=0.492769 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.729846 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 113.44 samples/sec Train-accuracy=0.485923 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.730538 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 113.44 samples/sec Train-accuracy=0.493615 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.734308 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 113.52 samples/sec Train-accuracy=0.488385 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.731923 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 113.31 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 113.45 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.730154 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 113.61 samples/sec Train-accuracy=0.497000 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 113.60 samples/sec Train-accuracy=0.489769 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 113.39 samples/sec Train-accuracy=0.491769 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.734538 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 113.43 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.728077 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 113.20 samples/sec Train-accuracy=0.484385 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 113.49 samples/sec Train-accuracy=0.494154 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.738385 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 113.36 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 113.51 samples/sec Train-accuracy=0.501000 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 113.42 samples/sec Train-accuracy=0.482923 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 113.37 samples/sec Train-accuracy=0.490923 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.734615 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 113.37 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.728692 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 113.33 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 113.62 samples/sec Train-accuracy=0.482077 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.732538 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 113.42 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.734846 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 113.44 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 113.51 samples/sec Train-accuracy=0.491769 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 113.34 samples/sec Train-accuracy=0.493231 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 113.35 samples/sec Train-accuracy=0.494615 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.735462 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 113.49 samples/sec Train-accuracy=0.489923 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 113.30 samples/sec Train-accuracy=0.493538 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.731231 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 113.45 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 113.54 samples/sec Train-accuracy=0.501692 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 113.40 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 113.43 samples/sec Train-accuracy=0.486462 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.732154 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 113.41 samples/sec Train-accuracy=0.494692 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 113.40 samples/sec Train-accuracy=0.488692 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.733385 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 113.47 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 113.44 samples/sec Train-accuracy=0.492154 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 113.46 samples/sec Train-accuracy=0.490538 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.730385 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 113.45 samples/sec Train-accuracy=0.493923 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 113.38 samples/sec Train-accuracy=0.488615 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.729077 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 113.39 samples/sec Train-accuracy=0.494308 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 113.39 samples/sec Train-accuracy=0.486385 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.727308 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 113.50 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.735692 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 113.33 samples/sec Train-accuracy=0.494308 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[16] Batch [4550] Speed: 113.55 samples/sec Train-accuracy=0.492308 | |
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| INFO:root:Epoch[16] Batch [4600] Speed: 113.36 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[16] Batch [4600] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.734846 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 113.53 samples/sec Train-accuracy=0.483385 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 113.39 samples/sec Train-accuracy=0.495923 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.738462 | |
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| INFO:root:Epoch[16] Batch [4750] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 113.62 samples/sec Train-accuracy=0.489385 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.728154 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 113.48 samples/sec Train-accuracy=0.495615 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 113.63 samples/sec Train-accuracy=0.493154 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.734538 | |
| INFO:root:Epoch[16] Resetting Data Iterator | |
| INFO:root:Epoch[16] Time cost=11292.974 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0017.params" | |
| INFO:root:Epoch[16] Validation-accuracy=0.553208 | |
| INFO:root:Epoch[16] Validation-top_k_accuracy_5=0.803547 | |
| INFO:root:Epoch[17] Batch [50] Speed: 115.66 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[17] Batch [50] Speed: 115.66 samples/sec Train-top_k_accuracy_5=0.737462 | |
| INFO:root:Epoch[17] Batch [100] Speed: 113.44 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[17] Batch [100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.734846 | |
| INFO:root:Epoch[17] Batch [150] Speed: 113.52 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[17] Batch [150] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.734308 | |
| INFO:root:Epoch[17] Batch [200] Speed: 113.45 samples/sec Train-accuracy=0.487308 | |
| INFO:root:Epoch[17] Batch [200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733769 | |
| INFO:root:Epoch[17] Batch [250] Speed: 113.43 samples/sec Train-accuracy=0.487692 | |
| INFO:root:Epoch[17] Batch [250] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.733846 | |
| INFO:root:Epoch[17] Batch [300] Speed: 113.27 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[17] Batch [300] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[17] Batch [350] Speed: 113.46 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[17] Batch [350] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[17] Batch [400] Speed: 113.44 samples/sec Train-accuracy=0.489154 | |
| INFO:root:Epoch[17] Batch [400] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.736538 | |
| INFO:root:Epoch[17] Batch [450] Speed: 113.39 samples/sec Train-accuracy=0.492000 | |
| INFO:root:Epoch[17] Batch [450] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[17] Batch [500] Speed: 113.39 samples/sec Train-accuracy=0.483077 | |
| INFO:root:Epoch[17] Batch [500] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.730692 | |
| INFO:root:Epoch[17] Batch [550] Speed: 113.45 samples/sec Train-accuracy=0.493846 | |
| INFO:root:Epoch[17] Batch [550] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.738615 | |
| INFO:root:Epoch[17] Batch [600] Speed: 113.44 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[17] Batch [600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.735231 | |
| INFO:root:Epoch[17] Batch [650] Speed: 113.31 samples/sec Train-accuracy=0.486846 | |
| INFO:root:Epoch[17] Batch [650] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[17] Batch [700] Speed: 113.45 samples/sec Train-accuracy=0.488615 | |
| INFO:root:Epoch[17] Batch [700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.728615 | |
| INFO:root:Epoch[17] Batch [750] Speed: 113.38 samples/sec Train-accuracy=0.492154 | |
| INFO:root:Epoch[17] Batch [750] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.732462 | |
| INFO:root:Epoch[17] Batch [800] Speed: 113.47 samples/sec Train-accuracy=0.487154 | |
| INFO:root:Epoch[17] Batch [800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.730077 | |
| INFO:root:Epoch[17] Batch [850] Speed: 113.36 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[17] Batch [850] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[17] Batch [900] Speed: 113.37 samples/sec Train-accuracy=0.489231 | |
| INFO:root:Epoch[17] Batch [900] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[17] Batch [950] Speed: 113.43 samples/sec Train-accuracy=0.494000 | |
| INFO:root:Epoch[17] Batch [950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.737077 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 113.41 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.737000 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 113.28 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 113.38 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.739231 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 113.40 samples/sec Train-accuracy=0.494231 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.736154 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 113.46 samples/sec Train-accuracy=0.484385 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.729000 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 113.40 samples/sec Train-accuracy=0.492308 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 113.46 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.732923 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 113.30 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 113.40 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 113.32 samples/sec Train-accuracy=0.490846 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.735462 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 113.37 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.737538 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 113.28 samples/sec Train-accuracy=0.495385 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 113.50 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 113.50 samples/sec Train-accuracy=0.489923 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.732769 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 113.33 samples/sec Train-accuracy=0.489385 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 113.44 samples/sec Train-accuracy=0.488769 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.732923 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 113.45 samples/sec Train-accuracy=0.494692 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.734231 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 113.40 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 113.39 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 113.43 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 113.48 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.728692 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 113.43 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 113.39 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 113.49 samples/sec Train-accuracy=0.495154 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 113.44 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 113.39 samples/sec Train-accuracy=0.488077 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.731154 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 113.37 samples/sec Train-accuracy=0.494077 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 113.43 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 113.40 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.730615 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 113.48 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.734308 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 113.40 samples/sec Train-accuracy=0.493385 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.736385 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 113.48 samples/sec Train-accuracy=0.485385 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.731615 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 113.60 samples/sec Train-accuracy=0.492462 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.736538 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 113.46 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.736846 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 113.54 samples/sec Train-accuracy=0.498692 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 113.63 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 113.46 samples/sec Train-accuracy=0.492231 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 113.37 samples/sec Train-accuracy=0.498462 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 113.38 samples/sec Train-accuracy=0.496077 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 113.52 samples/sec Train-accuracy=0.490769 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.733692 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 113.45 samples/sec Train-accuracy=0.498615 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 113.44 samples/sec Train-accuracy=0.498615 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.739462 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 113.40 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 113.45 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 113.47 samples/sec Train-accuracy=0.490923 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.732462 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 113.53 samples/sec Train-accuracy=0.490923 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 113.26 samples/sec Train-accuracy=0.497692 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.735923 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 113.41 samples/sec Train-accuracy=0.496462 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 113.44 samples/sec Train-accuracy=0.487538 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.737154 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 113.41 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 113.38 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.738615 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 113.48 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 113.52 samples/sec Train-accuracy=0.497308 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 113.41 samples/sec Train-accuracy=0.502231 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 113.50 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.734231 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 113.57 samples/sec Train-accuracy=0.494846 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.732231 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 113.40 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.738231 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 113.32 samples/sec Train-accuracy=0.498000 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.738000 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 113.52 samples/sec Train-accuracy=0.489923 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.726846 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 113.44 samples/sec Train-accuracy=0.494077 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 113.27 samples/sec Train-accuracy=0.497154 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.738308 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 113.51 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 113.56 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 113.55 samples/sec Train-accuracy=0.497154 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.730692 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 113.48 samples/sec Train-accuracy=0.488000 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.734923 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 113.31 samples/sec Train-accuracy=0.498462 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.739308 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 113.34 samples/sec Train-accuracy=0.494615 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.734538 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 113.17 samples/sec Train-accuracy=0.498769 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 113.29 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.732615 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 113.45 samples/sec Train-accuracy=0.495308 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.731154 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 113.46 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742154 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 113.43 samples/sec Train-accuracy=0.488615 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 113.41 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.731000 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 113.40 samples/sec Train-accuracy=0.487308 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.733846 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 113.52 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.737769 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 113.42 samples/sec Train-accuracy=0.498154 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.739308 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 113.45 samples/sec Train-accuracy=0.495615 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 113.36 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.735077 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 113.43 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736231 | |
| INFO:root:Epoch[17] Resetting Data Iterator | |
| INFO:root:Epoch[17] Time cost=11292.926 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0018.params" | |
| INFO:root:Epoch[17] Validation-accuracy=0.565664 | |
| INFO:root:Epoch[17] Validation-top_k_accuracy_5=0.813750 | |
| INFO:root:Epoch[18] Batch [50] Speed: 115.82 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[18] Batch [50] Speed: 115.82 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[18] Batch [100] Speed: 113.23 samples/sec Train-accuracy=0.495692 | |
| INFO:root:Epoch[18] Batch [100] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.731538 | |
| INFO:root:Epoch[18] Batch [150] Speed: 113.53 samples/sec Train-accuracy=0.494077 | |
| INFO:root:Epoch[18] Batch [150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.733769 | |
| INFO:root:Epoch[18] Batch [200] Speed: 113.44 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[18] Batch [200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[18] Batch [250] Speed: 113.40 samples/sec Train-accuracy=0.490846 | |
| INFO:root:Epoch[18] Batch [250] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.734231 | |
| INFO:root:Epoch[18] Batch [300] Speed: 113.50 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[18] Batch [300] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[18] Batch [350] Speed: 113.47 samples/sec Train-accuracy=0.501154 | |
| INFO:root:Epoch[18] Batch [350] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[18] Batch [400] Speed: 113.15 samples/sec Train-accuracy=0.492231 | |
| INFO:root:Epoch[18] Batch [400] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[18] Batch [450] Speed: 113.44 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[18] Batch [450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[18] Batch [500] Speed: 113.45 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[18] Batch [500] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739923 | |
| INFO:root:Epoch[18] Batch [550] Speed: 113.27 samples/sec Train-accuracy=0.493615 | |
| INFO:root:Epoch[18] Batch [550] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.738000 | |
| INFO:root:Epoch[18] Batch [600] Speed: 113.50 samples/sec Train-accuracy=0.489308 | |
| INFO:root:Epoch[18] Batch [600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.728385 | |
| INFO:root:Epoch[18] Batch [650] Speed: 113.41 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[18] Batch [650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.739692 | |
| INFO:root:Epoch[18] Batch [700] Speed: 113.47 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[18] Batch [700] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.731385 | |
| INFO:root:Epoch[18] Batch [750] Speed: 113.48 samples/sec Train-accuracy=0.494308 | |
| INFO:root:Epoch[18] Batch [750] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.737769 | |
| INFO:root:Epoch[18] Batch [800] Speed: 113.50 samples/sec Train-accuracy=0.494231 | |
| INFO:root:Epoch[18] Batch [800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[18] Batch [850] Speed: 113.49 samples/sec Train-accuracy=0.495692 | |
| INFO:root:Epoch[18] Batch [850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[18] Batch [900] Speed: 113.47 samples/sec Train-accuracy=0.494308 | |
| INFO:root:Epoch[18] Batch [900] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.734923 | |
| INFO:root:Epoch[18] Batch [950] Speed: 113.40 samples/sec Train-accuracy=0.488000 | |
| INFO:root:Epoch[18] Batch [950] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.738308 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 113.45 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 113.39 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.743615 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 113.39 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 113.35 samples/sec Train-accuracy=0.495385 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.739385 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 113.42 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 113.49 samples/sec Train-accuracy=0.490462 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 113.43 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 113.51 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 113.48 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 113.43 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 113.46 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 113.44 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 113.36 samples/sec Train-accuracy=0.493154 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.737000 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 113.54 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 113.25 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 113.40 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.731462 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 113.36 samples/sec Train-accuracy=0.498769 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.737538 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 113.51 samples/sec Train-accuracy=0.498385 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.739692 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 113.60 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.735308 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 113.28 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 113.47 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 113.28 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 113.33 samples/sec Train-accuracy=0.504000 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 113.28 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 113.35 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 113.54 samples/sec Train-accuracy=0.486923 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.737077 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 113.48 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 113.44 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 113.59 samples/sec Train-accuracy=0.501154 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.738692 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 113.32 samples/sec Train-accuracy=0.488923 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 113.46 samples/sec Train-accuracy=0.489615 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.735154 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 113.43 samples/sec Train-accuracy=0.491615 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.732385 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 113.52 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 113.46 samples/sec Train-accuracy=0.496462 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 113.53 samples/sec Train-accuracy=0.500538 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 113.46 samples/sec Train-accuracy=0.491615 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 113.46 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.736923 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 113.48 samples/sec Train-accuracy=0.494385 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 113.48 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 113.46 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 113.53 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.735231 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 113.35 samples/sec Train-accuracy=0.499000 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 113.50 samples/sec Train-accuracy=0.492077 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.734462 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 113.45 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 113.37 samples/sec Train-accuracy=0.493154 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 113.49 samples/sec Train-accuracy=0.494000 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 113.49 samples/sec Train-accuracy=0.491538 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.733923 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 113.34 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.742154 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 113.35 samples/sec Train-accuracy=0.492231 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.732308 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 113.55 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 113.47 samples/sec Train-accuracy=0.494615 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.739308 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 113.45 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 113.58 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 113.48 samples/sec Train-accuracy=0.496846 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 113.48 samples/sec Train-accuracy=0.495077 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.736846 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 113.37 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.742154 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 113.42 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 113.45 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 113.32 samples/sec Train-accuracy=0.491231 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 113.46 samples/sec Train-accuracy=0.498077 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 113.51 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.739462 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 113.32 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 113.38 samples/sec Train-accuracy=0.494846 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 113.41 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 113.32 samples/sec Train-accuracy=0.496077 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 113.52 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 113.39 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 113.53 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 113.41 samples/sec Train-accuracy=0.494385 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.731154 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 113.41 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.737077 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 113.47 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 113.40 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 113.44 samples/sec Train-accuracy=0.492308 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.736308 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 113.44 samples/sec Train-accuracy=0.486846 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.734538 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 113.33 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 113.42 samples/sec Train-accuracy=0.496923 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 113.61 samples/sec Train-accuracy=0.498538 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.735462 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 113.20 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.737692 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 113.54 samples/sec Train-accuracy=0.486308 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.733231 | |
| INFO:root:Epoch[18] Resetting Data Iterator | |
| INFO:root:Epoch[18] Time cost=11294.077 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0019.params" | |
| INFO:root:Epoch[18] Validation-accuracy=0.557254 | |
| INFO:root:Epoch[18] Validation-top_k_accuracy_5=0.802092 | |
| INFO:root:Epoch[19] Batch [50] Speed: 115.64 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[19] Batch [50] Speed: 115.64 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[19] Batch [100] Speed: 113.44 samples/sec Train-accuracy=0.499538 | |
| INFO:root:Epoch[19] Batch [100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[19] Batch [150] Speed: 113.42 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[19] Batch [150] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.735538 | |
| INFO:root:Epoch[19] Batch [200] Speed: 113.28 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[19] Batch [200] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[19] Batch [250] Speed: 113.42 samples/sec Train-accuracy=0.494154 | |
| INFO:root:Epoch[19] Batch [250] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.734154 | |
| INFO:root:Epoch[19] Batch [300] Speed: 113.43 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[19] Batch [300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[19] Batch [350] Speed: 113.50 samples/sec Train-accuracy=0.496308 | |
| INFO:root:Epoch[19] Batch [350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[19] Batch [400] Speed: 113.31 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[19] Batch [400] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[19] Batch [450] Speed: 113.36 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[19] Batch [450] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.737769 | |
| INFO:root:Epoch[19] Batch [500] Speed: 113.25 samples/sec Train-accuracy=0.495692 | |
| INFO:root:Epoch[19] Batch [500] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[19] Batch [550] Speed: 113.48 samples/sec Train-accuracy=0.493308 | |
| INFO:root:Epoch[19] Batch [550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[19] Batch [600] Speed: 113.55 samples/sec Train-accuracy=0.491077 | |
| INFO:root:Epoch[19] Batch [600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.731000 | |
| INFO:root:Epoch[19] Batch [650] Speed: 113.32 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[19] Batch [650] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[19] Batch [700] Speed: 113.40 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[19] Batch [700] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.730846 | |
| INFO:root:Epoch[19] Batch [750] Speed: 113.42 samples/sec Train-accuracy=0.490923 | |
| INFO:root:Epoch[19] Batch [750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.737154 | |
| INFO:root:Epoch[19] Batch [800] Speed: 113.54 samples/sec Train-accuracy=0.490538 | |
| INFO:root:Epoch[19] Batch [800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.733462 | |
| INFO:root:Epoch[19] Batch [850] Speed: 113.56 samples/sec Train-accuracy=0.491154 | |
| INFO:root:Epoch[19] Batch [850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[19] Batch [900] Speed: 113.53 samples/sec Train-accuracy=0.493462 | |
| INFO:root:Epoch[19] Batch [900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.732231 | |
| INFO:root:Epoch[19] Batch [950] Speed: 113.37 samples/sec Train-accuracy=0.492077 | |
| INFO:root:Epoch[19] Batch [950] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 112.79 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 112.79 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 113.43 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 113.52 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 113.53 samples/sec Train-accuracy=0.496538 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.733692 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 113.39 samples/sec Train-accuracy=0.489923 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.733000 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 113.45 samples/sec Train-accuracy=0.495692 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 113.43 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 113.39 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.739615 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 113.35 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 113.43 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.737923 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 113.48 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 113.50 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.733923 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 113.40 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 113.37 samples/sec Train-accuracy=0.498923 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.734923 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 113.11 samples/sec Train-accuracy=0.490077 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.736385 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 113.52 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.739231 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 113.57 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 113.48 samples/sec Train-accuracy=0.501538 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 113.48 samples/sec Train-accuracy=0.497692 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.733769 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 113.50 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 113.52 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 113.34 samples/sec Train-accuracy=0.500538 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 113.42 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 113.50 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.739385 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 113.45 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.734769 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 113.50 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.737462 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 113.48 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.731923 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 113.42 samples/sec Train-accuracy=0.492769 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.733000 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 113.48 samples/sec Train-accuracy=0.498692 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.736615 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 113.48 samples/sec Train-accuracy=0.492462 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 113.37 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 113.37 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 113.27 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 113.50 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.737692 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 113.47 samples/sec Train-accuracy=0.494615 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.733769 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 113.56 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 113.50 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 113.53 samples/sec Train-accuracy=0.496308 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 113.54 samples/sec Train-accuracy=0.494231 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.735846 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 113.58 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.740846 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 113.36 samples/sec Train-accuracy=0.493077 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.739385 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 113.22 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 113.45 samples/sec Train-accuracy=0.487154 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.737538 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 113.46 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743154 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 113.38 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.737615 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 113.42 samples/sec Train-accuracy=0.498462 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 113.40 samples/sec Train-accuracy=0.497846 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 113.44 samples/sec Train-accuracy=0.500231 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 113.46 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 113.31 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 113.43 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 113.45 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 113.35 samples/sec Train-accuracy=0.494231 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.735923 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 113.52 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 113.66 samples/sec Train-accuracy=0.501154 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 113.47 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 113.36 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.728462 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 112.77 samples/sec Train-accuracy=0.491000 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 112.77 samples/sec Train-top_k_accuracy_5=0.735077 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 113.17 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 113.42 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 113.50 samples/sec Train-accuracy=0.498923 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 113.43 samples/sec Train-accuracy=0.498154 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.728308 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 113.60 samples/sec Train-accuracy=0.498462 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 113.43 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 113.39 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.737385 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 113.28 samples/sec Train-accuracy=0.499231 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.739308 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 113.52 samples/sec Train-accuracy=0.494000 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 113.54 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 113.48 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 113.47 samples/sec Train-accuracy=0.490692 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 113.29 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.732846 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 113.42 samples/sec Train-accuracy=0.493462 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.741077 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 113.41 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 113.56 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.738385 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 113.17 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 113.17 samples/sec Train-top_k_accuracy_5=0.736923 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 113.47 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 113.47 samples/sec Train-accuracy=0.490692 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[19] Resetting Data Iterator | |
| INFO:root:Epoch[19] Time cost=11295.605 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0020.params" | |
| INFO:root:Epoch[19] Validation-accuracy=0.555799 | |
| INFO:root:Epoch[19] Validation-top_k_accuracy_5=0.806796 | |
| INFO:root:Epoch[20] Batch [50] Speed: 115.66 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[20] Batch [50] Speed: 115.66 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[20] Batch [100] Speed: 113.27 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[20] Batch [100] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.738231 | |
| INFO:root:Epoch[20] Batch [150] Speed: 113.51 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[20] Batch [150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[20] Batch [200] Speed: 113.42 samples/sec Train-accuracy=0.496538 | |
| INFO:root:Epoch[20] Batch [200] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[20] Batch [250] Speed: 113.42 samples/sec Train-accuracy=0.492615 | |
| INFO:root:Epoch[20] Batch [250] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[20] Batch [300] Speed: 113.44 samples/sec Train-accuracy=0.498538 | |
| INFO:root:Epoch[20] Batch [300] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.742077 | |
| INFO:root:Epoch[20] Batch [350] Speed: 113.43 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[20] Batch [350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.743154 | |
| INFO:root:Epoch[20] Batch [400] Speed: 113.43 samples/sec Train-accuracy=0.497000 | |
| INFO:root:Epoch[20] Batch [400] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[20] Batch [450] Speed: 113.45 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[20] Batch [450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[20] Batch [500] Speed: 113.54 samples/sec Train-accuracy=0.502000 | |
| INFO:root:Epoch[20] Batch [500] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.736308 | |
| INFO:root:Epoch[20] Batch [550] Speed: 113.38 samples/sec Train-accuracy=0.494846 | |
| INFO:root:Epoch[20] Batch [550] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.736308 | |
| INFO:root:Epoch[20] Batch [600] Speed: 113.28 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[20] Batch [600] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.736231 | |
| INFO:root:Epoch[20] Batch [650] Speed: 113.68 samples/sec Train-accuracy=0.497308 | |
| INFO:root:Epoch[20] Batch [650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[20] Batch [700] Speed: 113.53 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[20] Batch [700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[20] Batch [750] Speed: 113.46 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[20] Batch [750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.739462 | |
| INFO:root:Epoch[20] Batch [800] Speed: 113.58 samples/sec Train-accuracy=0.492462 | |
| INFO:root:Epoch[20] Batch [800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.732538 | |
| INFO:root:Epoch[20] Batch [850] Speed: 113.34 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[20] Batch [850] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[20] Batch [900] Speed: 113.36 samples/sec Train-accuracy=0.496538 | |
| INFO:root:Epoch[20] Batch [900] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.733538 | |
| INFO:root:Epoch[20] Batch [950] Speed: 113.53 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[20] Batch [950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 113.57 samples/sec Train-accuracy=0.498077 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743692 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 113.57 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 113.45 samples/sec Train-accuracy=0.496462 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 113.32 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.736000 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 113.39 samples/sec Train-accuracy=0.498385 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.739462 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 113.41 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 113.50 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 113.43 samples/sec Train-accuracy=0.494154 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 113.43 samples/sec Train-accuracy=0.498385 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 113.44 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745231 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 113.46 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 113.38 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 113.43 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739615 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 113.40 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 113.36 samples/sec Train-accuracy=0.491308 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.737154 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 113.55 samples/sec Train-accuracy=0.494692 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.738692 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 113.53 samples/sec Train-accuracy=0.500769 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 113.57 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 113.47 samples/sec Train-accuracy=0.496231 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.733615 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 113.02 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.737846 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 113.56 samples/sec Train-accuracy=0.491462 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 113.59 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 113.46 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 113.27 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 113.39 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.737769 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 113.37 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 113.51 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 113.43 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739308 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 113.39 samples/sec Train-accuracy=0.493846 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.734923 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 113.49 samples/sec Train-accuracy=0.497692 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.734462 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 113.57 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.740846 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 113.41 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 113.43 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 113.53 samples/sec Train-accuracy=0.497538 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.739231 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 113.55 samples/sec Train-accuracy=0.501923 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 113.39 samples/sec Train-accuracy=0.495538 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 113.36 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 113.35 samples/sec Train-accuracy=0.495077 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 113.49 samples/sec Train-accuracy=0.495923 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 113.49 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 113.41 samples/sec Train-accuracy=0.496231 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.736615 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 113.34 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 113.48 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.741462 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 113.27 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 113.42 samples/sec Train-accuracy=0.490462 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.741077 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 113.56 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 113.38 samples/sec Train-accuracy=0.496923 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.731769 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 113.55 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 113.48 samples/sec Train-accuracy=0.489000 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.739615 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 113.52 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 113.54 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 113.47 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 113.41 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 113.54 samples/sec Train-accuracy=0.498077 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 113.39 samples/sec Train-accuracy=0.495615 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 113.53 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 113.45 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.738615 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 113.53 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 113.42 samples/sec Train-accuracy=0.494231 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 113.67 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 113.42 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 113.39 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.734692 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 113.41 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 113.37 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.735692 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 113.36 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 113.32 samples/sec Train-accuracy=0.493462 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 113.45 samples/sec Train-accuracy=0.496846 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.735231 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 113.53 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 113.42 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.739385 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 113.42 samples/sec Train-accuracy=0.500077 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 113.36 samples/sec Train-accuracy=0.497154 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 113.49 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 113.50 samples/sec Train-accuracy=0.496231 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 113.50 samples/sec Train-accuracy=0.495077 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.734615 | |
| INFO:root:Epoch[20] Batch [4700] Speed: 113.55 samples/sec Train-accuracy=0.499769 | |
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| INFO:root:Epoch[20] Batch [4750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 113.57 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 113.49 samples/sec Train-accuracy=0.499846 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.736077 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 113.57 samples/sec Train-accuracy=0.500538 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[20] Resetting Data Iterator | |
| INFO:root:Epoch[20] Time cost=11290.168 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0021.params" | |
| INFO:root:Epoch[20] Validation-accuracy=0.547389 | |
| INFO:root:Epoch[20] Validation-top_k_accuracy_5=0.794560 | |
| INFO:root:Epoch[21] Batch [50] Speed: 115.77 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[21] Batch [50] Speed: 115.77 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[21] Batch [100] Speed: 113.45 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[21] Batch [100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[21] Batch [150] Speed: 113.44 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[21] Batch [150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[21] Batch [200] Speed: 113.66 samples/sec Train-accuracy=0.497231 | |
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| INFO:root:Epoch[21] Batch [250] Speed: 113.56 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[21] Batch [250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.733308 | |
| INFO:root:Epoch[21] Batch [300] Speed: 113.62 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[21] Batch [300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.741769 | |
| INFO:root:Epoch[21] Batch [350] Speed: 113.40 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[21] Batch [350] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[21] Batch [400] Speed: 113.40 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[21] Batch [400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.741769 | |
| INFO:root:Epoch[21] Batch [450] Speed: 113.53 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[21] Batch [450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[21] Batch [500] Speed: 113.31 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[21] Batch [500] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[21] Batch [550] Speed: 113.32 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[21] Batch [550] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[21] Batch [600] Speed: 113.50 samples/sec Train-accuracy=0.493231 | |
| INFO:root:Epoch[21] Batch [600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.733154 | |
| INFO:root:Epoch[21] Batch [650] Speed: 113.55 samples/sec Train-accuracy=0.494308 | |
| INFO:root:Epoch[21] Batch [650] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[21] Batch [700] Speed: 113.37 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[21] Batch [700] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.735615 | |
| INFO:root:Epoch[21] Batch [750] Speed: 113.45 samples/sec Train-accuracy=0.502231 | |
| INFO:root:Epoch[21] Batch [750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[21] Batch [800] Speed: 113.46 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[21] Batch [800] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.735692 | |
| INFO:root:Epoch[21] Batch [850] Speed: 113.50 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[21] Batch [850] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.740769 | |
| INFO:root:Epoch[21] Batch [900] Speed: 113.52 samples/sec Train-accuracy=0.498923 | |
| INFO:root:Epoch[21] Batch [900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.736154 | |
| INFO:root:Epoch[21] Batch [950] Speed: 113.41 samples/sec Train-accuracy=0.495615 | |
| INFO:root:Epoch[21] Batch [950] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 113.45 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 113.35 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.744538 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 113.53 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 113.35 samples/sec Train-accuracy=0.502154 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.737923 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 113.51 samples/sec Train-accuracy=0.494846 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 113.61 samples/sec Train-accuracy=0.494923 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 113.38 samples/sec Train-accuracy=0.500385 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 113.56 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 113.46 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 113.12 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 113.52 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 113.46 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 113.57 samples/sec Train-accuracy=0.502615 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.740769 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 113.42 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.739000 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 113.44 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 113.55 samples/sec Train-accuracy=0.499000 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 113.43 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 113.46 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.744154 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 113.56 samples/sec Train-accuracy=0.498615 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 113.57 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.739231 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 113.50 samples/sec Train-accuracy=0.491231 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 113.33 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 113.42 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 113.36 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 113.33 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 113.42 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 113.12 samples/sec Train-accuracy=0.495231 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.736615 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 113.51 samples/sec Train-accuracy=0.497077 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.734769 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 113.59 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 113.55 samples/sec Train-accuracy=0.500538 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.737692 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 113.40 samples/sec Train-accuracy=0.496154 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 113.46 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 113.51 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.499231 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.741462 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 113.49 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.740462 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 113.33 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 113.40 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.739692 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 113.54 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 113.43 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 113.47 samples/sec Train-accuracy=0.490692 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 113.41 samples/sec Train-accuracy=0.496692 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.738462 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 113.52 samples/sec Train-accuracy=0.496077 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.736462 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 113.47 samples/sec Train-accuracy=0.496846 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 113.55 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 113.62 samples/sec Train-accuracy=0.489769 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.738692 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 113.53 samples/sec Train-accuracy=0.500077 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 113.45 samples/sec Train-accuracy=0.497308 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 113.44 samples/sec Train-accuracy=0.498615 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 113.37 samples/sec Train-accuracy=0.493538 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.735538 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 113.49 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 113.55 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 113.45 samples/sec Train-accuracy=0.502538 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.743154 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 113.35 samples/sec Train-accuracy=0.504615 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 113.52 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.739692 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 113.44 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.735154 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 113.54 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 113.54 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 113.57 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 113.51 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.735385 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 113.45 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 113.54 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 113.36 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 113.50 samples/sec Train-accuracy=0.495462 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 113.56 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 113.33 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 113.52 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 113.40 samples/sec Train-accuracy=0.503308 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 113.45 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 113.51 samples/sec Train-accuracy=0.499154 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 113.42 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.744154 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 113.62 samples/sec Train-accuracy=0.494846 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.738692 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 113.41 samples/sec Train-accuracy=0.498000 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 113.47 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 113.38 samples/sec Train-accuracy=0.494154 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.736769 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 113.46 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[21] Batch [4750] Speed: 113.38 samples/sec Train-accuracy=0.504385 | |
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| INFO:root:Epoch[21] Batch [4800] Speed: 113.35 samples/sec Train-accuracy=0.495538 | |
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| INFO:root:Epoch[21] Batch [4850] Speed: 113.54 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[21] Batch [4850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.740692 | |
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| INFO:root:Epoch[21] Batch [4900] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.735923 | |
| INFO:root:Epoch[21] Resetting Data Iterator | |
| INFO:root:Epoch[21] Time cost=11291.467 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0022.params" | |
| INFO:root:Epoch[21] Validation-accuracy=0.562316 | |
| INFO:root:Epoch[21] Validation-top_k_accuracy_5=0.811180 | |
| INFO:root:Epoch[22] Batch [50] Speed: 115.68 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[22] Batch [50] Speed: 115.68 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[22] Batch [100] Speed: 113.51 samples/sec Train-accuracy=0.499077 | |
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| INFO:root:Epoch[22] Batch [150] Speed: 113.43 samples/sec Train-accuracy=0.499385 | |
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| INFO:root:Epoch[22] Batch [200] Speed: 113.55 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[22] Batch [200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[22] Batch [250] Speed: 113.53 samples/sec Train-accuracy=0.498462 | |
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| INFO:root:Epoch[22] Batch [300] Speed: 113.37 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[22] Batch [300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[22] Batch [350] Speed: 113.49 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[22] Batch [350] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[22] Batch [400] Speed: 113.41 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[22] Batch [400] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[22] Batch [450] Speed: 113.36 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[22] Batch [450] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[22] Batch [500] Speed: 113.47 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[22] Batch [500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741769 | |
| INFO:root:Epoch[22] Batch [550] Speed: 113.46 samples/sec Train-accuracy=0.494538 | |
| INFO:root:Epoch[22] Batch [550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.737308 | |
| INFO:root:Epoch[22] Batch [600] Speed: 113.35 samples/sec Train-accuracy=0.499538 | |
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| INFO:root:Epoch[22] Batch [650] Speed: 113.42 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[22] Batch [650] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[22] Batch [700] Speed: 113.36 samples/sec Train-accuracy=0.502231 | |
| INFO:root:Epoch[22] Batch [700] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[22] Batch [750] Speed: 113.42 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[22] Batch [750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[22] Batch [800] Speed: 113.45 samples/sec Train-accuracy=0.494385 | |
| INFO:root:Epoch[22] Batch [800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.733923 | |
| INFO:root:Epoch[22] Batch [850] Speed: 113.51 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[22] Batch [850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[22] Batch [900] Speed: 113.66 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[22] Batch [900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[22] Batch [950] Speed: 113.34 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[22] Batch [950] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 113.55 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 113.57 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 113.51 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 113.38 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 113.34 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 113.34 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 113.58 samples/sec Train-accuracy=0.502538 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.740231 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 113.43 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.744846 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 113.46 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 113.38 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 113.34 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 113.47 samples/sec Train-accuracy=0.502923 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 113.59 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.741385 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 113.49 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 113.52 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 113.44 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.738385 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 113.47 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 113.55 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.741462 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 113.64 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 113.54 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 113.36 samples/sec Train-accuracy=0.491846 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.736231 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 113.51 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 113.53 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 113.55 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 113.47 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 113.52 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 113.26 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.742154 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 113.62 samples/sec Train-accuracy=0.502923 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 113.31 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.737308 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 113.43 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 113.50 samples/sec Train-accuracy=0.493769 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.737769 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 113.50 samples/sec Train-accuracy=0.491231 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 113.53 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 113.52 samples/sec Train-accuracy=0.502154 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 113.54 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 113.52 samples/sec Train-accuracy=0.502615 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 113.50 samples/sec Train-accuracy=0.499231 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 113.38 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 113.49 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.737077 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 113.58 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 113.40 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 113.29 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 113.46 samples/sec Train-accuracy=0.496308 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 113.66 samples/sec Train-accuracy=0.498923 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 113.35 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 113.33 samples/sec Train-accuracy=0.496615 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 113.25 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 113.63 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 113.21 samples/sec Train-accuracy=0.496231 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 113.53 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 113.43 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 113.47 samples/sec Train-accuracy=0.495846 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 113.40 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 113.54 samples/sec Train-accuracy=0.496385 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.737462 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 113.44 samples/sec Train-accuracy=0.497615 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 113.39 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 113.59 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 113.58 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 113.43 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 113.41 samples/sec Train-accuracy=0.496308 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.744846 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 113.37 samples/sec Train-accuracy=0.498538 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 113.34 samples/sec Train-accuracy=0.506462 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 113.48 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 113.49 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.740385 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 113.63 samples/sec Train-accuracy=0.500385 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.739615 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 113.38 samples/sec Train-accuracy=0.506462 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 113.45 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 113.41 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 113.31 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.736846 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 113.60 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 113.50 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 113.35 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 113.46 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 113.49 samples/sec Train-accuracy=0.492692 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 113.36 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 113.44 samples/sec Train-accuracy=0.499923 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.744846 | |
| INFO:root:Epoch[22] Batch [4800] Speed: 113.65 samples/sec Train-accuracy=0.500000 | |
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| INFO:root:Epoch[22] Batch [4850] Speed: 113.45 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[22] Batch [4850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 113.35 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[22] Resetting Data Iterator | |
| INFO:root:Epoch[22] Time cost=11289.462 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0023.params" | |
| INFO:root:Epoch[22] Validation-accuracy=0.556377 | |
| INFO:root:Epoch[22] Validation-top_k_accuracy_5=0.805181 | |
| INFO:root:Epoch[23] Batch [50] Speed: 115.79 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[23] Batch [50] Speed: 115.79 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[23] Batch [100] Speed: 113.47 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[23] Batch [100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[23] Batch [150] Speed: 113.47 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[23] Batch [150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[23] Batch [200] Speed: 113.50 samples/sec Train-accuracy=0.498077 | |
| INFO:root:Epoch[23] Batch [200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[23] Batch [250] Speed: 113.51 samples/sec Train-accuracy=0.503538 | |
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| INFO:root:Epoch[23] Batch [300] Speed: 113.55 samples/sec Train-accuracy=0.503846 | |
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| INFO:root:Epoch[23] Batch [350] Speed: 113.38 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[23] Batch [350] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.743615 | |
| INFO:root:Epoch[23] Batch [400] Speed: 113.51 samples/sec Train-accuracy=0.501385 | |
| INFO:root:Epoch[23] Batch [400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[23] Batch [450] Speed: 113.55 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[23] Batch [450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[23] Batch [500] Speed: 113.44 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[23] Batch [500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[23] Batch [550] Speed: 113.57 samples/sec Train-accuracy=0.507462 | |
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| INFO:root:Epoch[23] Batch [600] Speed: 113.50 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[23] Batch [600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[23] Batch [650] Speed: 113.36 samples/sec Train-accuracy=0.494769 | |
| INFO:root:Epoch[23] Batch [650] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[23] Batch [700] Speed: 113.49 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[23] Batch [700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[23] Batch [750] Speed: 113.51 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[23] Batch [750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[23] Batch [800] Speed: 113.43 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[23] Batch [800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.737231 | |
| INFO:root:Epoch[23] Batch [850] Speed: 113.50 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[23] Batch [850] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[23] Batch [900] Speed: 113.54 samples/sec Train-accuracy=0.499538 | |
| INFO:root:Epoch[23] Batch [900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.739231 | |
| INFO:root:Epoch[23] Batch [950] Speed: 113.26 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[23] Batch [950] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.741846 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 113.44 samples/sec Train-accuracy=0.500769 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 113.61 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 113.41 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.743692 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 113.37 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 113.49 samples/sec Train-accuracy=0.498769 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 113.52 samples/sec Train-accuracy=0.495923 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 113.58 samples/sec Train-accuracy=0.498769 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 113.60 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 113.61 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 113.41 samples/sec Train-accuracy=0.499154 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 113.46 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 113.54 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 113.55 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 113.52 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 113.56 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 113.51 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 113.44 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 113.50 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 113.47 samples/sec Train-accuracy=0.497769 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.739692 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 113.53 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 113.43 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739923 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 113.55 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.745231 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 113.11 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 113.11 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 113.32 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 113.60 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 113.46 samples/sec Train-accuracy=0.504000 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 113.39 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 113.51 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.743615 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 113.25 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 113.44 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 113.49 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 113.50 samples/sec Train-accuracy=0.493462 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 113.46 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 113.44 samples/sec Train-accuracy=0.498615 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.744538 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 113.50 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 113.46 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 113.43 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 113.66 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 113.43 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 113.57 samples/sec Train-accuracy=0.493692 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 113.41 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.740462 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 113.28 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 113.54 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 113.49 samples/sec Train-accuracy=0.500538 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742462 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 113.55 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 113.44 samples/sec Train-accuracy=0.502692 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 113.47 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 113.43 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 113.49 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742462 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 113.46 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 113.46 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 113.56 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 113.49 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 113.46 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 113.45 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 113.47 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 113.58 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 113.51 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 113.46 samples/sec Train-accuracy=0.495615 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.736846 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 113.50 samples/sec Train-accuracy=0.497308 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 113.55 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 113.44 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 113.45 samples/sec Train-accuracy=0.500077 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 113.34 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.735846 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 113.54 samples/sec Train-accuracy=0.502231 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 113.39 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 113.47 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 113.52 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 113.61 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 113.54 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 113.62 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.743154 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 113.49 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744538 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 113.41 samples/sec Train-accuracy=0.501923 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 113.47 samples/sec Train-accuracy=0.493000 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 113.45 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 113.41 samples/sec Train-accuracy=0.502846 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 113.38 samples/sec Train-accuracy=0.500385 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 113.47 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.740769 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 113.27 samples/sec Train-accuracy=0.496000 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.743308 | |
| INFO:root:Epoch[23] Resetting Data Iterator | |
| INFO:root:Epoch[23] Time cost=11290.106 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0024.params" | |
| INFO:root:Epoch[23] Validation-accuracy=0.565863 | |
| INFO:root:Epoch[23] Validation-top_k_accuracy_5=0.812794 | |
| INFO:root:Epoch[24] Batch [50] Speed: 115.76 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[24] Batch [50] Speed: 115.76 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[24] Batch [100] Speed: 113.45 samples/sec Train-accuracy=0.502615 | |
| INFO:root:Epoch[24] Batch [100] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[24] Batch [150] Speed: 113.39 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[24] Batch [150] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[24] Batch [200] Speed: 113.46 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[24] Batch [200] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745154 | |
| INFO:root:Epoch[24] Batch [250] Speed: 113.47 samples/sec Train-accuracy=0.494462 | |
| INFO:root:Epoch[24] Batch [250] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.737538 | |
| INFO:root:Epoch[24] Batch [300] Speed: 112.89 samples/sec Train-accuracy=0.502000 | |
| INFO:root:Epoch[24] Batch [300] Speed: 112.89 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[24] Batch [350] Speed: 113.26 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[24] Batch [350] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[24] Batch [400] Speed: 113.60 samples/sec Train-accuracy=0.502923 | |
| INFO:root:Epoch[24] Batch [400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[24] Batch [450] Speed: 113.57 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[24] Batch [450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[24] Batch [500] Speed: 113.60 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[24] Batch [500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.740077 | |
| INFO:root:Epoch[24] Batch [550] Speed: 113.49 samples/sec Train-accuracy=0.502000 | |
| INFO:root:Epoch[24] Batch [550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[24] Batch [600] Speed: 113.56 samples/sec Train-accuracy=0.502923 | |
| INFO:root:Epoch[24] Batch [600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[24] Batch [650] Speed: 113.30 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[24] Batch [650] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[24] Batch [700] Speed: 113.46 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[24] Batch [700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[24] Batch [750] Speed: 113.40 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[24] Batch [750] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[24] Batch [800] Speed: 113.45 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[24] Batch [800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[24] Batch [850] Speed: 113.38 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[24] Batch [850] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[24] Batch [900] Speed: 113.46 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[24] Batch [900] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.734154 | |
| INFO:root:Epoch[24] Batch [950] Speed: 113.52 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[24] Batch [950] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 113.46 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 113.59 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 113.29 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 113.62 samples/sec Train-accuracy=0.504000 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 113.47 samples/sec Train-accuracy=0.496538 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 113.51 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 113.48 samples/sec Train-accuracy=0.501538 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.738923 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 113.53 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 113.41 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 113.62 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 113.50 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 113.61 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 113.47 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 113.53 samples/sec Train-accuracy=0.501000 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 113.62 samples/sec Train-accuracy=0.498769 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 113.55 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 113.69 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 113.53 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 113.15 samples/sec Train-accuracy=0.502692 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 113.43 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 113.50 samples/sec Train-accuracy=0.499846 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 113.51 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 113.50 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 113.47 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 113.45 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.743154 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 113.56 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 113.66 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.736385 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 113.49 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 113.45 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 113.39 samples/sec Train-accuracy=0.499000 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 113.58 samples/sec Train-accuracy=0.496462 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.738231 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 113.55 samples/sec Train-accuracy=0.504923 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 113.54 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 113.48 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 113.50 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 113.58 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 113.42 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 113.54 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 113.51 samples/sec Train-accuracy=0.501692 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.739769 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 113.41 samples/sec Train-accuracy=0.498538 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 113.54 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 113.48 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 113.45 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 113.38 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 113.41 samples/sec Train-accuracy=0.500385 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 113.30 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 113.34 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 113.42 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 113.51 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 113.48 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 113.49 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 113.29 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 113.29 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 113.31 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 113.44 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 113.45 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 113.58 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 113.51 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 113.55 samples/sec Train-accuracy=0.503000 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 113.40 samples/sec Train-accuracy=0.500769 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 113.45 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 113.47 samples/sec Train-accuracy=0.499538 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 113.55 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 113.49 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.741077 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 113.21 samples/sec Train-accuracy=0.503308 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 113.21 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 113.47 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 113.44 samples/sec Train-accuracy=0.501462 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 113.38 samples/sec Train-accuracy=0.504615 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 113.57 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 113.53 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 113.57 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 113.50 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 113.44 samples/sec Train-accuracy=0.500231 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 113.49 samples/sec Train-accuracy=0.499615 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 113.54 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 113.40 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 113.55 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 113.56 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.739846 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 113.51 samples/sec Train-accuracy=0.500462 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[24] Resetting Data Iterator | |
| INFO:root:Epoch[24] Time cost=11288.130 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0025.params" | |
| INFO:root:Epoch[24] Validation-accuracy=0.563033 | |
| INFO:root:Epoch[24] Validation-top_k_accuracy_5=0.813193 | |
| INFO:root:Epoch[25] Batch [50] Speed: 115.72 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[25] Batch [50] Speed: 115.72 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[25] Batch [100] Speed: 113.42 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[25] Batch [100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[25] Batch [150] Speed: 113.44 samples/sec Train-accuracy=0.502846 | |
| INFO:root:Epoch[25] Batch [150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[25] Batch [200] Speed: 113.48 samples/sec Train-accuracy=0.503308 | |
| INFO:root:Epoch[25] Batch [200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[25] Batch [250] Speed: 113.47 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[25] Batch [250] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[25] Batch [300] Speed: 113.46 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[25] Batch [300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[25] Batch [350] Speed: 113.55 samples/sec Train-accuracy=0.502538 | |
| INFO:root:Epoch[25] Batch [350] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[25] Batch [400] Speed: 113.53 samples/sec Train-accuracy=0.499385 | |
| INFO:root:Epoch[25] Batch [400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[25] Batch [450] Speed: 113.54 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[25] Batch [450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[25] Batch [500] Speed: 113.39 samples/sec Train-accuracy=0.502154 | |
| INFO:root:Epoch[25] Batch [500] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[25] Batch [550] Speed: 113.46 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[25] Batch [550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[25] Batch [600] Speed: 113.55 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[25] Batch [600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.740923 | |
| INFO:root:Epoch[25] Batch [650] Speed: 113.57 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[25] Batch [650] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[25] Batch [700] Speed: 113.50 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[25] Batch [700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744154 | |
| INFO:root:Epoch[25] Batch [750] Speed: 113.59 samples/sec Train-accuracy=0.501231 | |
| INFO:root:Epoch[25] Batch [750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[25] Batch [800] Speed: 113.57 samples/sec Train-accuracy=0.501923 | |
| INFO:root:Epoch[25] Batch [800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[25] Batch [850] Speed: 113.43 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[25] Batch [850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[25] Batch [900] Speed: 113.71 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[25] Batch [900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.740615 | |
| INFO:root:Epoch[25] Batch [950] Speed: 113.43 samples/sec Train-accuracy=0.499692 | |
| INFO:root:Epoch[25] Batch [950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 113.42 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 113.39 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 113.53 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 113.53 samples/sec Train-accuracy=0.501692 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.740308 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 113.59 samples/sec Train-accuracy=0.498385 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 113.48 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 113.46 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.741077 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 113.53 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 113.52 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 113.38 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 113.32 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 113.41 samples/sec Train-accuracy=0.499846 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 113.46 samples/sec Train-accuracy=0.501692 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 113.48 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 113.50 samples/sec Train-accuracy=0.501231 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.743308 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 113.43 samples/sec Train-accuracy=0.499538 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 113.42 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 113.74 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 113.56 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 113.41 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 113.53 samples/sec Train-accuracy=0.503615 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 113.62 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 113.43 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 113.40 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 113.52 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 113.40 samples/sec Train-accuracy=0.503615 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 113.59 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 113.60 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.741385 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 113.51 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 113.56 samples/sec Train-accuracy=0.503615 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 113.45 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 113.47 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 113.53 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 113.42 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 113.43 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 113.41 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 113.43 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 113.58 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 113.51 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 113.45 samples/sec Train-accuracy=0.504923 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.743692 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 113.33 samples/sec Train-accuracy=0.499231 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 113.47 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 113.59 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 113.15 samples/sec Train-accuracy=0.496769 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 113.41 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 113.47 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 113.55 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 113.44 samples/sec Train-accuracy=0.501385 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 113.50 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 113.53 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 113.48 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 113.63 samples/sec Train-accuracy=0.502846 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.740154 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 113.39 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 113.19 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 113.19 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 113.44 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 113.52 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 113.52 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 113.39 samples/sec Train-accuracy=0.501154 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 113.55 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 113.55 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 113.56 samples/sec Train-accuracy=0.506462 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.742923 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 113.52 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 113.46 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.740692 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 113.53 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 112.94 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 113.48 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 113.39 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 113.43 samples/sec Train-accuracy=0.502538 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 113.63 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 113.43 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 113.58 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 113.42 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 113.43 samples/sec Train-accuracy=0.495385 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 113.41 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 113.49 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 113.57 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 113.51 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 113.49 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[25] Resetting Data Iterator | |
| INFO:root:Epoch[25] Time cost=11289.657 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0026.params" | |
| INFO:root:Epoch[25] Validation-accuracy=0.561638 | |
| INFO:root:Epoch[25] Validation-top_k_accuracy_5=0.810801 | |
| INFO:root:Epoch[26] Batch [50] Speed: 115.70 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[26] Batch [50] Speed: 115.70 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[26] Batch [100] Speed: 113.49 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[26] Batch [100] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[26] Batch [150] Speed: 113.47 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[26] Batch [150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[26] Batch [200] Speed: 113.37 samples/sec Train-accuracy=0.506000 | |
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| INFO:root:Epoch[26] Batch [250] Speed: 113.35 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[26] Batch [250] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[26] Batch [300] Speed: 113.52 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[26] Batch [300] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[26] Batch [350] Speed: 113.46 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[26] Batch [350] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[26] Batch [400] Speed: 113.26 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[26] Batch [400] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[26] Batch [450] Speed: 113.65 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[26] Batch [450] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[26] Batch [500] Speed: 113.49 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[26] Batch [500] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[26] Batch [550] Speed: 113.60 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[26] Batch [550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[26] Batch [600] Speed: 113.50 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[26] Batch [600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.739615 | |
| INFO:root:Epoch[26] Batch [650] Speed: 113.63 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[26] Batch [650] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[26] Batch [700] Speed: 113.49 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[26] Batch [700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[26] Batch [750] Speed: 113.58 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[26] Batch [750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[26] Batch [800] Speed: 113.49 samples/sec Train-accuracy=0.500846 | |
| INFO:root:Epoch[26] Batch [800] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[26] Batch [850] Speed: 113.40 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[26] Batch [850] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[26] Batch [900] Speed: 113.45 samples/sec Train-accuracy=0.500692 | |
| INFO:root:Epoch[26] Batch [900] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[26] Batch [950] Speed: 113.46 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[26] Batch [950] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 113.48 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 113.46 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 113.42 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 113.49 samples/sec Train-accuracy=0.502692 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 113.52 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 113.34 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 113.48 samples/sec Train-accuracy=0.497385 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.738615 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 113.22 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 113.22 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 113.50 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 113.34 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 113.31 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 113.49 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 113.61 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.742462 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 113.48 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 113.58 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 113.62 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 113.51 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 113.57 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 113.37 samples/sec Train-accuracy=0.501846 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.741462 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 113.48 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 113.40 samples/sec Train-accuracy=0.502000 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 113.47 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 113.46 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 113.45 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 113.36 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 113.49 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 113.37 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 113.44 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.741000 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 113.43 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739462 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 113.25 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 113.50 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 113.46 samples/sec Train-accuracy=0.502615 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 113.46 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 113.39 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 113.52 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 113.50 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 113.48 samples/sec Train-accuracy=0.503538 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 113.64 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 113.55 samples/sec Train-accuracy=0.504615 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 113.49 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 113.46 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 113.52 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 113.32 samples/sec Train-accuracy=0.501769 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 113.33 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 113.40 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 113.49 samples/sec Train-accuracy=0.501615 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 113.52 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.741462 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 113.60 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 113.45 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 113.58 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 113.43 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746231 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 113.57 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 113.59 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 113.46 samples/sec Train-accuracy=0.506462 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 113.47 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 113.52 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 113.52 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 113.49 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 113.56 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 113.62 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 113.36 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 113.44 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 113.57 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 113.52 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.738077 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 113.49 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 113.56 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 113.51 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 113.57 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 113.53 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.741231 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 113.50 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 113.49 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 113.44 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 113.52 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.740846 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 113.48 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 113.38 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 113.69 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 113.54 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 113.62 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 113.56 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745231 | |
| INFO:root:Epoch[26] Resetting Data Iterator | |
| INFO:root:Epoch[26] Time cost=11289.515 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0027.params" | |
| INFO:root:Epoch[26] Validation-accuracy=0.566580 | |
| INFO:root:Epoch[26] Validation-top_k_accuracy_5=0.811917 | |
| INFO:root:Epoch[27] Batch [50] Speed: 115.57 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[27] Batch [50] Speed: 115.57 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[27] Batch [100] Speed: 113.71 samples/sec Train-accuracy=0.513615 | |
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| INFO:root:Epoch[27] Batch [150] Speed: 113.48 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[27] Batch [150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[27] Batch [200] Speed: 113.37 samples/sec Train-accuracy=0.509000 | |
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| INFO:root:Epoch[27] Batch [250] Speed: 113.53 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[27] Batch [250] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[27] Batch [300] Speed: 113.48 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[27] Batch [300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[27] Batch [350] Speed: 113.58 samples/sec Train-accuracy=0.505538 | |
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| INFO:root:Epoch[27] Batch [400] Speed: 113.35 samples/sec Train-accuracy=0.509846 | |
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| INFO:root:Epoch[27] Batch [450] Speed: 113.34 samples/sec Train-accuracy=0.505769 | |
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| INFO:root:Epoch[27] Batch [500] Speed: 113.38 samples/sec Train-accuracy=0.506538 | |
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| INFO:root:Epoch[27] Batch [600] Speed: 113.56 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[27] Batch [600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[27] Batch [650] Speed: 113.35 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[27] Batch [650] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[27] Batch [700] Speed: 113.54 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[27] Batch [700] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[27] Batch [750] Speed: 113.55 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[27] Batch [750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[27] Batch [800] Speed: 113.53 samples/sec Train-accuracy=0.499769 | |
| INFO:root:Epoch[27] Batch [800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[27] Batch [850] Speed: 113.47 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[27] Batch [850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[27] Batch [900] Speed: 113.54 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[27] Batch [900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.739077 | |
| INFO:root:Epoch[27] Batch [950] Speed: 113.53 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[27] Batch [950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 112.93 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 113.40 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 113.64 samples/sec Train-accuracy=0.502692 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 113.56 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 113.49 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 113.63 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 113.49 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 113.51 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 113.45 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 113.49 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 113.48 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 113.69 samples/sec Train-accuracy=0.507615 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 113.36 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 113.46 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 113.50 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 113.46 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 113.49 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 113.51 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 113.40 samples/sec Train-accuracy=0.495923 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.738769 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 113.68 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 113.40 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 113.48 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 113.46 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 113.49 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 113.48 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 113.55 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 113.26 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.738538 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 113.39 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 113.43 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 113.41 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 113.51 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.741923 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 113.56 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 113.57 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 113.60 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 113.57 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743231 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 113.44 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 113.42 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 113.47 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 113.49 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 113.47 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 113.60 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 113.55 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 113.51 samples/sec Train-accuracy=0.497923 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 113.44 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 113.47 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.746231 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 113.56 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.743308 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 113.54 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 113.62 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 113.52 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 113.38 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 113.45 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 113.46 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743077 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 113.31 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.741769 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 113.42 samples/sec Train-accuracy=0.503538 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 113.57 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 113.54 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 113.60 samples/sec Train-accuracy=0.498231 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 113.37 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 113.53 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.745154 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 113.50 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 113.53 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 113.60 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 113.67 samples/sec Train-accuracy=0.500077 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.743308 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 113.57 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 113.53 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 113.53 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 113.55 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 113.51 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 113.51 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 113.48 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 113.57 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 113.66 samples/sec Train-accuracy=0.491923 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 113.45 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 113.63 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 112.95 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 112.95 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 113.45 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 113.59 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[27] Resetting Data Iterator | |
| INFO:root:Epoch[27] Time cost=11286.380 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0028.params" | |
| INFO:root:Epoch[27] Validation-accuracy=0.569609 | |
| INFO:root:Epoch[27] Validation-top_k_accuracy_5=0.814109 | |
| INFO:root:Epoch[28] Batch [50] Speed: 115.88 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[28] Batch [50] Speed: 115.88 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[28] Batch [100] Speed: 113.59 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[28] Batch [100] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[28] Batch [150] Speed: 113.43 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[28] Batch [150] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[28] Batch [200] Speed: 113.57 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[28] Batch [200] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[28] Batch [250] Speed: 113.51 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[28] Batch [250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[28] Batch [300] Speed: 113.54 samples/sec Train-accuracy=0.509077 | |
| INFO:root:Epoch[28] Batch [300] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[28] Batch [350] Speed: 113.63 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[28] Batch [350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[28] Batch [400] Speed: 113.63 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[28] Batch [400] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[28] Batch [450] Speed: 113.50 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[28] Batch [450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[28] Batch [500] Speed: 113.65 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[28] Batch [500] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[28] Batch [550] Speed: 113.64 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[28] Batch [550] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[28] Batch [600] Speed: 113.65 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[28] Batch [600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[28] Batch [650] Speed: 113.55 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[28] Batch [650] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[28] Batch [700] Speed: 113.44 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[28] Batch [700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[28] Batch [750] Speed: 113.37 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[28] Batch [750] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.744077 | |
| INFO:root:Epoch[28] Batch [800] Speed: 113.57 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[28] Batch [800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[28] Batch [850] Speed: 113.24 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[28] Batch [850] Speed: 113.24 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[28] Batch [900] Speed: 113.66 samples/sec Train-accuracy=0.497692 | |
| INFO:root:Epoch[28] Batch [900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[28] Batch [950] Speed: 113.62 samples/sec Train-accuracy=0.501692 | |
| INFO:root:Epoch[28] Batch [950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 113.59 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 113.52 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 113.61 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 113.39 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 113.54 samples/sec Train-accuracy=0.497462 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.741615 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 113.49 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 113.50 samples/sec Train-accuracy=0.501308 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 113.55 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 113.57 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 113.54 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 113.50 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 113.60 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 113.58 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 113.46 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 113.66 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 113.46 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742385 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 113.75 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 113.57 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 113.55 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.737308 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 113.47 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 113.58 samples/sec Train-accuracy=0.501231 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.742077 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 113.42 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 113.52 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 113.54 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 113.43 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 113.43 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 113.52 samples/sec Train-accuracy=0.499154 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 113.51 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.742462 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 113.65 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 113.59 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 113.59 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.741308 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 113.30 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 113.49 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744538 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 113.51 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 113.42 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 113.57 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 113.56 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 113.45 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 113.63 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 113.62 samples/sec Train-accuracy=0.501231 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.744538 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 113.52 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 113.61 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 113.54 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 113.39 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 113.51 samples/sec Train-accuracy=0.504308 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 113.51 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 112.93 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.742615 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 113.51 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 113.56 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 113.56 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 113.59 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 113.57 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 113.62 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 113.59 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 113.55 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 113.47 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 113.51 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 113.54 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 113.68 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 113.51 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 113.57 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 113.51 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 113.46 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 113.40 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 113.51 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 113.55 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 113.37 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 113.54 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 113.46 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 113.56 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 113.59 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 113.48 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 113.55 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 113.60 samples/sec Train-accuracy=0.498923 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 113.57 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 113.48 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 113.50 samples/sec Train-accuracy=0.503538 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.743462 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 113.59 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 113.45 samples/sec Train-accuracy=0.498308 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.738846 | |
| INFO:root:Epoch[28] Resetting Data Iterator | |
| INFO:root:Epoch[28] Time cost=11284.921 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0029.params" | |
| INFO:root:Epoch[28] Validation-accuracy=0.580510 | |
| INFO:root:Epoch[28] Validation-top_k_accuracy_5=0.823475 | |
| INFO:root:Epoch[29] Batch [50] Speed: 115.85 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[29] Batch [50] Speed: 115.85 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[29] Batch [100] Speed: 113.46 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[29] Batch [100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742846 | |
| INFO:root:Epoch[29] Batch [150] Speed: 113.38 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[29] Batch [150] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[29] Batch [200] Speed: 113.55 samples/sec Train-accuracy=0.503308 | |
| INFO:root:Epoch[29] Batch [200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[29] Batch [250] Speed: 113.56 samples/sec Train-accuracy=0.504077 | |
| INFO:root:Epoch[29] Batch [250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[29] Batch [300] Speed: 113.54 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[29] Batch [300] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[29] Batch [350] Speed: 113.58 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[29] Batch [350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[29] Batch [400] Speed: 113.53 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[29] Batch [400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[29] Batch [450] Speed: 113.44 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[29] Batch [450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[29] Batch [500] Speed: 113.38 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[29] Batch [500] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[29] Batch [550] Speed: 113.48 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[29] Batch [550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[29] Batch [600] Speed: 113.52 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[29] Batch [600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[29] Batch [650] Speed: 113.57 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[29] Batch [650] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[29] Batch [700] Speed: 113.56 samples/sec Train-accuracy=0.500769 | |
| INFO:root:Epoch[29] Batch [700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[29] Batch [750] Speed: 113.64 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[29] Batch [750] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[29] Batch [800] Speed: 113.60 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[29] Batch [800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[29] Batch [850] Speed: 113.57 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[29] Batch [850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[29] Batch [900] Speed: 113.46 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[29] Batch [900] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.742462 | |
| INFO:root:Epoch[29] Batch [950] Speed: 113.39 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[29] Batch [950] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 113.57 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 113.59 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 113.68 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 113.67 samples/sec Train-accuracy=0.501000 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 113.53 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 113.59 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 113.69 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.743692 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 113.62 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 113.64 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 113.49 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 113.44 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 113.78 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 113.65 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 113.55 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 113.61 samples/sec Train-accuracy=0.499231 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 113.64 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 113.53 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 113.70 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 113.49 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.740538 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 113.68 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 113.59 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 113.64 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 113.57 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 113.60 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 113.70 samples/sec Train-accuracy=0.512308 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 113.58 samples/sec Train-accuracy=0.502000 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 113.59 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 113.63 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.741692 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 113.55 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 113.67 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 113.69 samples/sec Train-accuracy=0.503769 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 113.65 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 113.60 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 113.46 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 113.61 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 113.50 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 113.59 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 113.70 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 113.48 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 113.56 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 113.45 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 113.57 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 113.60 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 113.43 samples/sec Train-accuracy=0.499077 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 113.51 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 113.51 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.741538 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 113.57 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 113.49 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 113.55 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 113.55 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 113.65 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 113.70 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 113.60 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 113.51 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 113.12 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 113.34 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 113.49 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 113.56 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.742231 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 113.53 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 113.45 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 113.63 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 113.52 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 113.61 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.739154 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 113.50 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 113.48 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 113.51 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 113.52 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 113.71 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 113.51 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 113.43 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 113.51 samples/sec Train-accuracy=0.504923 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 113.62 samples/sec Train-accuracy=0.503154 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.745769 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 113.68 samples/sec Train-accuracy=0.503077 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 113.65 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 113.51 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 113.53 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 113.60 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 113.49 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745154 | |
| INFO:root:Epoch[29] Resetting Data Iterator | |
| INFO:root:Epoch[29] Time cost=11279.563 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0030.params" | |
| INFO:root:Epoch[29] Validation-accuracy=0.568354 | |
| INFO:root:Epoch[29] Validation-top_k_accuracy_5=0.812874 | |
| INFO:root:Epoch[30] Batch [50] Speed: 115.86 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[30] Batch [50] Speed: 115.86 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[30] Batch [100] Speed: 113.57 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[30] Batch [100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[30] Batch [150] Speed: 113.58 samples/sec Train-accuracy=0.507615 | |
| INFO:root:Epoch[30] Batch [150] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[30] Batch [200] Speed: 113.74 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[30] Batch [200] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[30] Batch [250] Speed: 113.39 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[30] Batch [250] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[30] Batch [300] Speed: 113.64 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[30] Batch [300] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[30] Batch [350] Speed: 113.70 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[30] Batch [350] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[30] Batch [400] Speed: 113.44 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[30] Batch [400] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[30] Batch [450] Speed: 113.71 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[30] Batch [450] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[30] Batch [500] Speed: 113.46 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[30] Batch [500] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[30] Batch [550] Speed: 113.48 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[30] Batch [550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[30] Batch [600] Speed: 113.52 samples/sec Train-accuracy=0.499308 | |
| INFO:root:Epoch[30] Batch [600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.736231 | |
| INFO:root:Epoch[30] Batch [650] Speed: 113.52 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[30] Batch [650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[30] Batch [700] Speed: 113.49 samples/sec Train-accuracy=0.500615 | |
| INFO:root:Epoch[30] Batch [700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.741154 | |
| INFO:root:Epoch[30] Batch [750] Speed: 113.57 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[30] Batch [750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[30] Batch [800] Speed: 113.47 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[30] Batch [800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[30] Batch [850] Speed: 113.51 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[30] Batch [850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[30] Batch [900] Speed: 113.55 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[30] Batch [900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[30] Batch [950] Speed: 113.54 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[30] Batch [950] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 113.48 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 113.47 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 113.48 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 113.39 samples/sec Train-accuracy=0.503000 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 113.50 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 113.59 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 113.59 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 113.44 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 113.53 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 113.60 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 113.34 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 113.54 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 113.48 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 113.49 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 113.43 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 113.59 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 113.56 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 113.56 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 113.50 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 113.59 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 113.49 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 113.64 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 113.52 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 113.56 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 113.54 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 113.46 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 113.66 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 113.57 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 113.45 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 113.64 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 113.38 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 113.68 samples/sec Train-accuracy=0.499462 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 113.45 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 113.63 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 113.46 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 113.45 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 113.55 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 113.50 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 113.53 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 113.69 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 113.46 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 113.52 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 113.46 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 113.50 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 113.65 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 113.58 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 113.52 samples/sec Train-accuracy=0.502769 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 113.50 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 113.46 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 113.07 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 113.07 samples/sec Train-top_k_accuracy_5=0.744154 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 113.57 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 113.39 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 113.57 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 113.46 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 113.49 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 113.68 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 113.52 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 113.55 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 113.58 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 113.57 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 113.73 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 113.54 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 113.50 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 113.61 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 113.63 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 113.48 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 113.60 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 113.50 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 113.61 samples/sec Train-accuracy=0.504231 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 113.61 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 113.70 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 113.71 samples/sec Train-accuracy=0.505385 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 113.57 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 113.68 samples/sec Train-accuracy=0.495769 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 113.57 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 113.59 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 113.74 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 113.56 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 113.57 samples/sec Train-accuracy=0.504846 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[30] Resetting Data Iterator | |
| INFO:root:Epoch[30] Time cost=11283.349 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0031.params" | |
| INFO:root:Epoch[30] Validation-accuracy=0.568892 | |
| INFO:root:Epoch[30] Validation-top_k_accuracy_5=0.815205 | |
| INFO:root:Epoch[31] Batch [50] Speed: 115.89 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[31] Batch [50] Speed: 115.89 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[31] Batch [100] Speed: 113.63 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[31] Batch [100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[31] Batch [150] Speed: 113.55 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[31] Batch [150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.743769 | |
| INFO:root:Epoch[31] Batch [200] Speed: 113.40 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[31] Batch [200] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[31] Batch [250] Speed: 113.55 samples/sec Train-accuracy=0.499846 | |
| INFO:root:Epoch[31] Batch [250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[31] Batch [300] Speed: 113.45 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[31] Batch [300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[31] Batch [350] Speed: 113.54 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[31] Batch [350] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[31] Batch [400] Speed: 113.52 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[31] Batch [400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[31] Batch [450] Speed: 113.45 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[31] Batch [450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[31] Batch [500] Speed: 113.57 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[31] Batch [500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[31] Batch [550] Speed: 113.66 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[31] Batch [550] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[31] Batch [600] Speed: 113.49 samples/sec Train-accuracy=0.500923 | |
| INFO:root:Epoch[31] Batch [600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[31] Batch [650] Speed: 113.65 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[31] Batch [650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[31] Batch [700] Speed: 113.35 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[31] Batch [700] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[31] Batch [750] Speed: 113.54 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[31] Batch [750] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[31] Batch [800] Speed: 113.43 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[31] Batch [800] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[31] Batch [850] Speed: 113.46 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[31] Batch [850] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.743615 | |
| INFO:root:Epoch[31] Batch [900] Speed: 113.42 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[31] Batch [900] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[31] Batch [950] Speed: 113.46 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[31] Batch [950] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 113.51 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 113.57 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 113.50 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 113.47 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 113.37 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 113.61 samples/sec Train-accuracy=0.504692 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 113.54 samples/sec Train-accuracy=0.501923 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 113.56 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 113.60 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 113.13 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 113.34 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.744692 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 113.63 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 113.39 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 113.41 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.743615 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 113.43 samples/sec Train-accuracy=0.505154 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 113.47 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 113.59 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757769 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 113.48 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 113.49 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 113.45 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 113.57 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 113.62 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 113.50 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 113.62 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 113.55 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 113.49 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 113.48 samples/sec Train-accuracy=0.501077 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 113.43 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 113.57 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 113.50 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 113.44 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 113.63 samples/sec Train-accuracy=0.502308 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 113.65 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 113.45 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 113.55 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 113.50 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 113.46 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 113.48 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 113.56 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 113.57 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 113.56 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 113.49 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 113.53 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 113.59 samples/sec Train-accuracy=0.498000 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 113.56 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 113.64 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 113.42 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 113.50 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 113.50 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 113.44 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 113.61 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 113.60 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 113.56 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 113.48 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 113.39 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.745154 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 113.45 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 113.75 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 113.76 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 113.61 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 113.60 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 113.63 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 113.57 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 113.54 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 113.58 samples/sec Train-accuracy=0.503385 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 113.70 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 113.46 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 113.64 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 113.65 samples/sec Train-accuracy=0.502923 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.744231 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 113.44 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 113.41 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 113.56 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 113.35 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 113.33 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.744462 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 113.20 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 113.37 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 113.38 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.742000 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 113.52 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.746615 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 113.43 samples/sec Train-accuracy=0.501923 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[31] Resetting Data Iterator | |
| INFO:root:Epoch[31] Time cost=11284.017 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0032.params" | |
| INFO:root:Epoch[31] Validation-accuracy=0.580151 | |
| INFO:root:Epoch[31] Validation-top_k_accuracy_5=0.822559 | |
| INFO:root:Epoch[32] Batch [50] Speed: 115.99 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[32] Batch [50] Speed: 115.99 samples/sec Train-top_k_accuracy_5=0.761538 | |
| INFO:root:Epoch[32] Batch [100] Speed: 113.42 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[32] Batch [100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[32] Batch [150] Speed: 113.60 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[32] Batch [150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[32] Batch [200] Speed: 113.62 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[32] Batch [200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[32] Batch [250] Speed: 113.52 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[32] Batch [250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[32] Batch [300] Speed: 113.49 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[32] Batch [300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[32] Batch [350] Speed: 113.46 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[32] Batch [350] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[32] Batch [400] Speed: 113.51 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[32] Batch [400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[32] Batch [450] Speed: 113.60 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[32] Batch [450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[32] Batch [500] Speed: 113.64 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[32] Batch [500] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[32] Batch [550] Speed: 113.47 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[32] Batch [550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[32] Batch [600] Speed: 113.63 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[32] Batch [600] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[32] Batch [650] Speed: 113.61 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[32] Batch [650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[32] Batch [700] Speed: 113.56 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[32] Batch [700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[32] Batch [750] Speed: 113.48 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[32] Batch [750] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[32] Batch [800] Speed: 113.65 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[32] Batch [800] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[32] Batch [850] Speed: 113.56 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[32] Batch [850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[32] Batch [900] Speed: 113.57 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[32] Batch [900] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[32] Batch [950] Speed: 113.48 samples/sec Train-accuracy=0.504154 | |
| INFO:root:Epoch[32] Batch [950] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 113.50 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 113.51 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 113.59 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 113.61 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 113.51 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 113.61 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 113.36 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 113.51 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 113.52 samples/sec Train-accuracy=0.525769 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 113.58 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 113.43 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 113.47 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 113.50 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 113.47 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 113.52 samples/sec Train-accuracy=0.503231 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.742308 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 113.39 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 113.47 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 113.53 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 113.34 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 113.57 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 113.49 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 113.51 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 113.33 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 113.47 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 113.55 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 113.30 samples/sec Train-accuracy=0.502077 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 113.63 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 113.60 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 113.60 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 113.39 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 113.51 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 113.25 samples/sec Train-accuracy=0.500308 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 113.36 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 113.61 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 113.46 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 113.59 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 113.58 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 113.53 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 113.56 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 113.42 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 113.50 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 113.53 samples/sec Train-accuracy=0.513077 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 113.48 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 113.49 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 113.41 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 113.52 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 113.49 samples/sec Train-accuracy=0.507615 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 113.58 samples/sec Train-accuracy=0.513077 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 113.55 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 113.62 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 113.47 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 113.38 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 113.64 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 113.55 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 113.55 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 113.54 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 113.49 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 113.45 samples/sec Train-accuracy=0.526615 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 113.57 samples/sec Train-accuracy=0.504000 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 113.57 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 113.54 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 113.47 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 113.57 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 113.59 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.738154 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 113.49 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 113.66 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 113.69 samples/sec Train-accuracy=0.505846 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 113.72 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 113.47 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 113.49 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 113.64 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 113.59 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 113.54 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 113.55 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 113.57 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 113.42 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 113.57 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 113.66 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 113.55 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[32] Resetting Data Iterator | |
| INFO:root:Epoch[32] Time cost=11285.193 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0033.params" | |
| INFO:root:Epoch[32] Validation-accuracy=0.574751 | |
| INFO:root:Epoch[32] Validation-top_k_accuracy_5=0.820965 | |
| INFO:root:Epoch[33] Batch [50] Speed: 115.86 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[33] Batch [50] Speed: 115.86 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[33] Batch [100] Speed: 113.59 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[33] Batch [100] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[33] Batch [150] Speed: 113.50 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[33] Batch [150] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[33] Batch [200] Speed: 113.58 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[33] Batch [200] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[33] Batch [250] Speed: 113.54 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[33] Batch [250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.743923 | |
| INFO:root:Epoch[33] Batch [300] Speed: 113.43 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[33] Batch [300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[33] Batch [350] Speed: 113.59 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[33] Batch [350] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[33] Batch [400] Speed: 113.66 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[33] Batch [400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[33] Batch [450] Speed: 113.67 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[33] Batch [450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[33] Batch [500] Speed: 113.57 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[33] Batch [500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[33] Batch [550] Speed: 113.54 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[33] Batch [550] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[33] Batch [600] Speed: 113.73 samples/sec Train-accuracy=0.507615 | |
| INFO:root:Epoch[33] Batch [600] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.743000 | |
| INFO:root:Epoch[33] Batch [650] Speed: 113.45 samples/sec Train-accuracy=0.504308 | |
| INFO:root:Epoch[33] Batch [650] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[33] Batch [700] Speed: 113.65 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[33] Batch [700] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[33] Batch [750] Speed: 113.65 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[33] Batch [750] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[33] Batch [800] Speed: 113.57 samples/sec Train-accuracy=0.505077 | |
| INFO:root:Epoch[33] Batch [800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[33] Batch [850] Speed: 113.58 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[33] Batch [850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[33] Batch [900] Speed: 113.54 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[33] Batch [900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745615 | |
| INFO:root:Epoch[33] Batch [950] Speed: 113.53 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[33] Batch [950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 113.58 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 113.66 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 113.47 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 113.53 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 113.40 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 113.46 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 113.39 samples/sec Train-accuracy=0.505538 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 113.46 samples/sec Train-accuracy=0.513077 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 113.58 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 113.45 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 113.41 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 113.47 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 113.56 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 113.52 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 113.58 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 113.54 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 113.59 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 113.37 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 113.60 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 113.51 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 113.42 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 113.65 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 113.73 samples/sec Train-accuracy=0.522462 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 113.55 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 113.47 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 113.56 samples/sec Train-accuracy=0.503308 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 113.56 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 113.52 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 113.64 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 113.69 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 112.92 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 112.92 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 113.60 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 113.56 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 113.51 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 113.46 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 113.60 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 113.58 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 113.45 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 113.58 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 113.56 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 113.53 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 113.77 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 113.46 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 113.48 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 113.62 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 113.59 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 113.45 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 113.58 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 113.36 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 113.58 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 113.53 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 113.49 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 113.55 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 113.48 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 113.63 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 113.55 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 113.39 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 113.51 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 113.63 samples/sec Train-accuracy=0.503462 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.745923 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 113.51 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 113.61 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 113.62 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 113.41 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 113.45 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 113.50 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 113.46 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 113.59 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 113.44 samples/sec Train-accuracy=0.524769 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 113.44 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 113.46 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 113.55 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 113.52 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 113.15 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 113.15 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 113.36 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 113.53 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 113.46 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 113.54 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 113.54 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 113.13 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 113.13 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[33] Resetting Data Iterator | |
| INFO:root:Epoch[33] Time cost=11285.292 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0034.params" | |
| INFO:root:Epoch[33] Validation-accuracy=0.582224 | |
| INFO:root:Epoch[33] Validation-top_k_accuracy_5=0.828537 | |
| INFO:root:Epoch[34] Batch [50] Speed: 115.88 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[34] Batch [50] Speed: 115.88 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[34] Batch [100] Speed: 113.54 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[34] Batch [100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[34] Batch [150] Speed: 113.41 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[34] Batch [150] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[34] Batch [200] Speed: 113.62 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[34] Batch [200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[34] Batch [250] Speed: 113.54 samples/sec Train-accuracy=0.500154 | |
| INFO:root:Epoch[34] Batch [250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.745538 | |
| INFO:root:Epoch[34] Batch [300] Speed: 113.55 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[34] Batch [300] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[34] Batch [350] Speed: 113.59 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[34] Batch [350] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[34] Batch [400] Speed: 113.60 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[34] Batch [400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[34] Batch [450] Speed: 113.53 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[34] Batch [450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[34] Batch [500] Speed: 113.43 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[34] Batch [500] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[34] Batch [550] Speed: 113.40 samples/sec Train-accuracy=0.512308 | |
| INFO:root:Epoch[34] Batch [550] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[34] Batch [600] Speed: 113.43 samples/sec Train-accuracy=0.498000 | |
| INFO:root:Epoch[34] Batch [600] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.739538 | |
| INFO:root:Epoch[34] Batch [650] Speed: 113.41 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[34] Batch [650] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[34] Batch [700] Speed: 113.44 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[34] Batch [700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[34] Batch [750] Speed: 113.54 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[34] Batch [750] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[34] Batch [800] Speed: 113.32 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[34] Batch [800] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[34] Batch [850] Speed: 113.57 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[34] Batch [850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[34] Batch [900] Speed: 113.51 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[34] Batch [900] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[34] Batch [950] Speed: 113.43 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[34] Batch [950] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 113.59 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 113.40 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 113.40 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 113.58 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 113.44 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 113.60 samples/sec Train-accuracy=0.512308 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 113.58 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 113.49 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 113.53 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 113.48 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 113.70 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 113.42 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 113.61 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 113.43 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 113.46 samples/sec Train-accuracy=0.507308 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 113.59 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 113.30 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 113.49 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 113.52 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 113.55 samples/sec Train-accuracy=0.526846 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 113.62 samples/sec Train-accuracy=0.505615 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 113.53 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 113.44 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 113.53 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 113.52 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 113.62 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 113.44 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 113.58 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 113.67 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 113.53 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 113.42 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 113.68 samples/sec Train-accuracy=0.502846 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 113.64 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 113.57 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 113.81 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 113.62 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 113.66 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.745077 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 113.47 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 113.64 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 113.70 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 113.64 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 113.53 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 113.70 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 113.63 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 113.59 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 113.71 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 113.49 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.742769 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 113.53 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 113.66 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 113.63 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 113.54 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 113.00 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 113.00 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 113.54 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 113.51 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 113.64 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 113.80 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 113.74 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 113.79 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 113.71 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 113.02 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 113.02 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 113.50 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 113.59 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 113.49 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 113.09 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 113.09 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 113.63 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 113.54 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 113.65 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 113.57 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 113.55 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 113.72 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 113.55 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 113.48 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 113.72 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 113.54 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 113.46 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 113.56 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 113.57 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 113.59 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 113.45 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[34] Resetting Data Iterator | |
| INFO:root:Epoch[34] Time cost=11281.480 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0035.params" | |
| INFO:root:Epoch[34] Validation-accuracy=0.569231 | |
| INFO:root:Epoch[34] Validation-top_k_accuracy_5=0.810662 | |
| INFO:root:Epoch[35] Batch [50] Speed: 115.78 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[35] Batch [50] Speed: 115.78 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[35] Batch [100] Speed: 113.63 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[35] Batch [100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[35] Batch [150] Speed: 113.65 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[35] Batch [150] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[35] Batch [200] Speed: 113.59 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[35] Batch [200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[35] Batch [250] Speed: 113.64 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[35] Batch [250] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[35] Batch [300] Speed: 113.59 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[35] Batch [300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[35] Batch [350] Speed: 113.48 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[35] Batch [350] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[35] Batch [400] Speed: 113.57 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[35] Batch [400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[35] Batch [450] Speed: 113.59 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[35] Batch [450] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[35] Batch [500] Speed: 113.59 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[35] Batch [500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[35] Batch [550] Speed: 113.61 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[35] Batch [550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[35] Batch [600] Speed: 113.69 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[35] Batch [600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[35] Batch [650] Speed: 113.48 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[35] Batch [650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[35] Batch [700] Speed: 113.68 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[35] Batch [700] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[35] Batch [750] Speed: 113.51 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[35] Batch [750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[35] Batch [800] Speed: 113.63 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[35] Batch [800] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[35] Batch [850] Speed: 113.56 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[35] Batch [850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[35] Batch [900] Speed: 113.65 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[35] Batch [900] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[35] Batch [950] Speed: 113.61 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[35] Batch [950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 113.55 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 113.68 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 113.62 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 113.51 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 113.54 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 113.61 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 112.87 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 112.87 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 113.53 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 113.61 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 113.40 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 113.38 samples/sec Train-accuracy=0.524462 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 113.65 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 113.55 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 113.69 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 113.46 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.746308 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 113.61 samples/sec Train-accuracy=0.505769 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 113.67 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 113.66 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 113.69 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 113.55 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 113.54 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.744846 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 113.67 samples/sec Train-accuracy=0.506000 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 113.47 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 113.56 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 113.55 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 113.65 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 112.93 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 112.93 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 113.49 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 113.47 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 113.51 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 113.48 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 113.70 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 113.61 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 113.55 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 113.60 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 113.60 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 113.63 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 113.59 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 113.53 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.744308 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 113.50 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 113.63 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 113.68 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 113.49 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 113.61 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 113.57 samples/sec Train-accuracy=0.504462 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743846 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 113.58 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 113.77 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 113.73 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 113.54 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 113.71 samples/sec Train-accuracy=0.520923 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 113.59 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 113.65 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 113.59 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 113.64 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 113.66 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 113.56 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 113.53 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 113.62 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 113.77 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 113.50 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 113.54 samples/sec Train-accuracy=0.524769 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 113.71 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 113.60 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 113.67 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 113.58 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 113.64 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 113.48 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.745385 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 113.66 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 113.76 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 113.67 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 113.71 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 113.63 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.745231 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 113.58 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 113.59 samples/sec Train-accuracy=0.506385 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 113.61 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 113.64 samples/sec Train-accuracy=0.509077 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 113.64 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[35] Resetting Data Iterator | |
| INFO:root:Epoch[35] Time cost=11279.666 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0036.params" | |
| INFO:root:Epoch[35] Validation-accuracy=0.587864 | |
| INFO:root:Epoch[35] Validation-top_k_accuracy_5=0.829574 | |
| INFO:root:Epoch[36] Batch [50] Speed: 116.02 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[36] Batch [50] Speed: 116.02 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[36] Batch [100] Speed: 113.65 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[36] Batch [100] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[36] Batch [150] Speed: 113.58 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[36] Batch [150] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.745846 | |
| INFO:root:Epoch[36] Batch [200] Speed: 113.60 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[36] Batch [200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[36] Batch [250] Speed: 113.65 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[36] Batch [250] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[36] Batch [300] Speed: 113.65 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[36] Batch [300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[36] Batch [350] Speed: 113.47 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[36] Batch [350] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[36] Batch [400] Speed: 113.50 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[36] Batch [400] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[36] Batch [450] Speed: 113.57 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[36] Batch [450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[36] Batch [500] Speed: 113.63 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[36] Batch [500] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[36] Batch [550] Speed: 113.63 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[36] Batch [550] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[36] Batch [600] Speed: 113.76 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[36] Batch [600] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[36] Batch [650] Speed: 113.73 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[36] Batch [650] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[36] Batch [700] Speed: 113.71 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[36] Batch [700] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[36] Batch [750] Speed: 113.61 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[36] Batch [750] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[36] Batch [800] Speed: 113.63 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[36] Batch [800] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[36] Batch [850] Speed: 113.78 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[36] Batch [850] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[36] Batch [900] Speed: 113.67 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[36] Batch [900] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[36] Batch [950] Speed: 113.64 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[36] Batch [950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 113.59 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 113.59 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 113.51 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 113.83 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 113.83 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 113.54 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 113.76 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 113.69 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 113.67 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 113.75 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 113.50 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 113.60 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 113.55 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 113.73 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 113.61 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 113.54 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.742692 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 113.69 samples/sec Train-accuracy=0.506154 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.742077 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 113.56 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 113.66 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 113.64 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 113.53 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 113.43 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 113.60 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 113.66 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 113.57 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 113.73 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 113.45 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 113.57 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 113.59 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.743385 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 113.54 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 113.68 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 113.59 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 113.48 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 113.42 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 113.70 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.747308 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 113.57 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 113.61 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 113.67 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 113.54 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 113.82 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 113.62 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 113.61 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 113.73 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 113.50 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 113.60 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 113.62 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 113.50 samples/sec Train-accuracy=0.505923 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 113.65 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 113.60 samples/sec Train-accuracy=0.509077 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 113.60 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 113.67 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 113.65 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 113.61 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 113.45 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 113.68 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 113.55 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 113.64 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 113.50 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 113.59 samples/sec Train-accuracy=0.526077 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 113.63 samples/sec Train-accuracy=0.502462 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 113.65 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 113.80 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 113.65 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 113.69 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 113.72 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 113.67 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 113.67 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 113.62 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 113.52 samples/sec Train-accuracy=0.523538 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 113.72 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 113.65 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 113.50 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 113.65 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 113.62 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 113.47 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 113.61 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 113.58 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 113.62 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 113.61 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 113.59 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747000 | |
| INFO:root:Epoch[36] Resetting Data Iterator | |
| INFO:root:Epoch[36] Time cost=11273.492 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0037.params" | |
| INFO:root:Epoch[36] Validation-accuracy=0.575568 | |
| INFO:root:Epoch[36] Validation-top_k_accuracy_5=0.817816 | |
| INFO:root:Epoch[37] Batch [50] Speed: 115.98 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[37] Batch [50] Speed: 115.98 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[37] Batch [100] Speed: 113.62 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[37] Batch [100] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[37] Batch [150] Speed: 113.71 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[37] Batch [150] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[37] Batch [200] Speed: 113.75 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[37] Batch [200] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[37] Batch [250] Speed: 113.71 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[37] Batch [250] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[37] Batch [300] Speed: 113.70 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[37] Batch [300] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[37] Batch [350] Speed: 113.63 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[37] Batch [350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[37] Batch [400] Speed: 113.62 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[37] Batch [400] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[37] Batch [450] Speed: 113.72 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[37] Batch [450] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[37] Batch [500] Speed: 113.55 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[37] Batch [500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[37] Batch [550] Speed: 113.72 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[37] Batch [550] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[37] Batch [600] Speed: 113.70 samples/sec Train-accuracy=0.498846 | |
| INFO:root:Epoch[37] Batch [600] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.747231 | |
| INFO:root:Epoch[37] Batch [650] Speed: 113.73 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[37] Batch [650] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[37] Batch [700] Speed: 113.56 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[37] Batch [700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[37] Batch [750] Speed: 113.44 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[37] Batch [750] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[37] Batch [800] Speed: 113.59 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[37] Batch [800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[37] Batch [850] Speed: 113.62 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[37] Batch [850] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[37] Batch [900] Speed: 113.59 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[37] Batch [900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[37] Batch [950] Speed: 113.81 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[37] Batch [950] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 113.72 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 113.61 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 113.58 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 113.64 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 113.73 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 113.69 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 113.69 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 113.64 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 113.62 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 113.67 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 113.69 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 113.71 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 113.57 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 113.61 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.744769 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 113.64 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 113.74 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 113.68 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 113.54 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 113.66 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 113.62 samples/sec Train-accuracy=0.524077 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 113.51 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 113.50 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 113.65 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 113.50 samples/sec Train-accuracy=0.524462 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.760077 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 113.60 samples/sec Train-accuracy=0.507462 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 113.59 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 113.57 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.743692 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 113.73 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 113.53 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 113.59 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 113.76 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 113.70 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 113.32 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 113.57 samples/sec Train-accuracy=0.506538 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 113.59 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 113.73 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 113.72 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 113.64 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 113.61 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 113.56 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 113.68 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 113.56 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 113.62 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 113.48 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 113.60 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 113.53 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 113.50 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 113.57 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 113.56 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 113.82 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 113.63 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 113.52 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 113.75 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 113.76 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 113.62 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 113.61 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 113.59 samples/sec Train-accuracy=0.525538 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 113.72 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.746077 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 113.57 samples/sec Train-accuracy=0.506077 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 113.70 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 113.69 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 113.77 samples/sec Train-accuracy=0.522308 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 113.65 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 113.54 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 113.62 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 113.62 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 113.56 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 113.70 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 113.53 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 113.60 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 113.73 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 113.67 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 113.53 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 113.58 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 113.56 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 113.61 samples/sec Train-accuracy=0.506692 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 113.53 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748077 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 113.52 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.747385 | |
| INFO:root:Epoch[37] Resetting Data Iterator | |
| INFO:root:Epoch[37] Time cost=11274.964 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0038.params" | |
| INFO:root:Epoch[37] Validation-accuracy=0.586409 | |
| INFO:root:Epoch[37] Validation-top_k_accuracy_5=0.829075 | |
| INFO:root:Epoch[38] Batch [50] Speed: 115.99 samples/sec Train-accuracy=0.527846 | |
| INFO:root:Epoch[38] Batch [50] Speed: 115.99 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[38] Batch [100] Speed: 113.69 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[38] Batch [100] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[38] Batch [150] Speed: 113.48 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[38] Batch [150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[38] Batch [200] Speed: 113.60 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[38] Batch [200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[38] Batch [250] Speed: 113.55 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[38] Batch [250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[38] Batch [300] Speed: 113.73 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[38] Batch [300] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[38] Batch [350] Speed: 113.54 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[38] Batch [350] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[38] Batch [400] Speed: 113.53 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[38] Batch [400] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[38] Batch [450] Speed: 113.47 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[38] Batch [450] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[38] Batch [500] Speed: 113.61 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[38] Batch [500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[38] Batch [550] Speed: 113.70 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[38] Batch [550] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[38] Batch [600] Speed: 113.54 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[38] Batch [600] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[38] Batch [650] Speed: 113.61 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[38] Batch [650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[38] Batch [700] Speed: 113.38 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[38] Batch [700] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[38] Batch [750] Speed: 113.43 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[38] Batch [750] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[38] Batch [800] Speed: 113.53 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[38] Batch [800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[38] Batch [850] Speed: 113.52 samples/sec Train-accuracy=0.507615 | |
| INFO:root:Epoch[38] Batch [850] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[38] Batch [900] Speed: 113.52 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[38] Batch [900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.742154 | |
| INFO:root:Epoch[38] Batch [950] Speed: 113.61 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[38] Batch [950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 113.54 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 113.50 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 113.51 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 113.51 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 113.47 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 113.64 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 113.45 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 113.57 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 113.47 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 113.55 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 113.59 samples/sec Train-accuracy=0.521692 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 113.56 samples/sec Train-accuracy=0.521154 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 113.77 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 113.82 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 113.61 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 113.56 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 113.66 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 113.65 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 113.59 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 113.67 samples/sec Train-accuracy=0.522000 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 113.66 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 113.57 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 113.51 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 113.54 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 113.54 samples/sec Train-accuracy=0.522692 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 113.70 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 113.60 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 113.41 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 113.54 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 113.61 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.747846 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 113.23 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 113.65 samples/sec Train-accuracy=0.522231 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.763538 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 113.62 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 113.71 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 113.60 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 113.57 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 113.63 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 113.58 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 113.59 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 113.36 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 113.60 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.748231 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 113.66 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 113.61 samples/sec Train-accuracy=0.512308 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 113.54 samples/sec Train-accuracy=0.504769 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 113.63 samples/sec Train-accuracy=0.506615 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 113.58 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 113.53 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 113.80 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 113.60 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 113.61 samples/sec Train-accuracy=0.525308 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 113.42 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 113.50 samples/sec Train-accuracy=0.524308 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 113.51 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 113.70 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 113.57 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 113.46 samples/sec Train-accuracy=0.521769 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 113.38 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.764538 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 113.52 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 113.70 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 113.61 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 113.70 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 113.55 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.762692 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 113.61 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 113.75 samples/sec Train-accuracy=0.507769 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 113.60 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 113.61 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 113.62 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 113.57 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 113.56 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 113.61 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 113.39 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 113.64 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 113.58 samples/sec Train-accuracy=0.507231 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 113.57 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 113.58 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 113.55 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 113.65 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 113.59 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[38] Resetting Data Iterator | |
| INFO:root:Epoch[38] Time cost=11277.683 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0039.params" | |
| INFO:root:Epoch[38] Validation-accuracy=0.556497 | |
| INFO:root:Epoch[38] Validation-top_k_accuracy_5=0.803687 | |
| INFO:root:Epoch[39] Batch [50] Speed: 115.93 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[39] Batch [50] Speed: 115.93 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[39] Batch [100] Speed: 113.52 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[39] Batch [100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[39] Batch [150] Speed: 113.56 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[39] Batch [150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[39] Batch [200] Speed: 113.59 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[39] Batch [200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[39] Batch [250] Speed: 113.57 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[39] Batch [250] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[39] Batch [300] Speed: 113.62 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[39] Batch [300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[39] Batch [350] Speed: 113.50 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[39] Batch [350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[39] Batch [400] Speed: 113.61 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[39] Batch [400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[39] Batch [450] Speed: 113.60 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[39] Batch [450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759308 | |
| INFO:root:Epoch[39] Batch [500] Speed: 113.49 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[39] Batch [500] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[39] Batch [550] Speed: 113.74 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[39] Batch [550] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[39] Batch [600] Speed: 113.60 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[39] Batch [600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[39] Batch [650] Speed: 113.49 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[39] Batch [650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[39] Batch [700] Speed: 113.68 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[39] Batch [700] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[39] Batch [750] Speed: 113.63 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[39] Batch [750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[39] Batch [800] Speed: 113.57 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[39] Batch [800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[39] Batch [850] Speed: 113.64 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[39] Batch [850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[39] Batch [900] Speed: 113.66 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[39] Batch [900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[39] Batch [950] Speed: 113.44 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[39] Batch [950] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 113.68 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 113.51 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 113.60 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 113.48 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 113.55 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 113.52 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 113.59 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 113.72 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 113.58 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 113.48 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 113.57 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 113.56 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 113.42 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 113.67 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 113.61 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 113.58 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.743538 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 113.53 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 113.64 samples/sec Train-accuracy=0.520846 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 113.50 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 113.58 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 113.67 samples/sec Train-accuracy=0.506923 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 113.55 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 113.64 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 113.78 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 113.63 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 113.44 samples/sec Train-accuracy=0.507692 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 113.60 samples/sec Train-accuracy=0.508692 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 113.63 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.745692 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 113.66 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 113.68 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 113.51 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 113.60 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 113.77 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 113.58 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 113.47 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 113.60 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 113.65 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 113.54 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 113.66 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 113.49 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 113.69 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 113.61 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 113.53 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 113.56 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 113.51 samples/sec Train-accuracy=0.505231 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 113.69 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 113.54 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.742538 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 113.60 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 113.49 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 113.63 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 113.63 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 113.68 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 113.64 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 113.58 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 113.76 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 113.74 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 113.50 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 113.64 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 113.70 samples/sec Train-accuracy=0.506462 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 113.62 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 113.58 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757769 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 113.59 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 113.72 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 113.54 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 113.59 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 113.54 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 113.59 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 113.71 samples/sec Train-accuracy=0.520923 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 113.51 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 113.65 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 113.79 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 113.58 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 113.69 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 113.64 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.746154 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 113.65 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.760692 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 113.71 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.746846 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 113.74 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 113.58 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 113.76 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[39] Resetting Data Iterator | |
| INFO:root:Epoch[39] Time cost=11277.267 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0040.params" | |
| INFO:root:Epoch[39] Validation-accuracy=0.585472 | |
| INFO:root:Epoch[39] Validation-top_k_accuracy_5=0.827800 | |
| INFO:root:Epoch[40] Batch [50] Speed: 115.91 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[40] Batch [50] Speed: 115.91 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[40] Batch [100] Speed: 113.56 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[40] Batch [100] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[40] Batch [150] Speed: 113.60 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[40] Batch [150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[40] Batch [200] Speed: 113.58 samples/sec Train-accuracy=0.520846 | |
| INFO:root:Epoch[40] Batch [200] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[40] Batch [250] Speed: 113.58 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[40] Batch [250] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[40] Batch [300] Speed: 113.55 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[40] Batch [300] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[40] Batch [350] Speed: 113.62 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[40] Batch [350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[40] Batch [400] Speed: 113.54 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[40] Batch [400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[40] Batch [450] Speed: 113.51 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[40] Batch [450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[40] Batch [500] Speed: 113.65 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[40] Batch [500] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[40] Batch [550] Speed: 113.66 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[40] Batch [550] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[40] Batch [600] Speed: 113.67 samples/sec Train-accuracy=0.506923 | |
| INFO:root:Epoch[40] Batch [600] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[40] Batch [650] Speed: 113.53 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[40] Batch [650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[40] Batch [700] Speed: 113.56 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[40] Batch [700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[40] Batch [750] Speed: 113.53 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[40] Batch [750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[40] Batch [800] Speed: 113.64 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[40] Batch [800] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[40] Batch [850] Speed: 113.73 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[40] Batch [850] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[40] Batch [900] Speed: 113.48 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[40] Batch [900] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[40] Batch [950] Speed: 113.54 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[40] Batch [950] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 113.65 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 113.73 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 113.56 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 113.70 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 113.63 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.746385 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 113.51 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 113.69 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 113.65 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 113.61 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 113.58 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 113.41 samples/sec Train-accuracy=0.522692 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.762000 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 113.64 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 113.51 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 113.52 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 113.56 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 113.63 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 113.64 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 113.65 samples/sec Train-accuracy=0.522846 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 113.71 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 113.64 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 113.45 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 113.56 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 113.43 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 113.68 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 113.62 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 113.55 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 113.45 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 113.68 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 113.60 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 113.61 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 113.47 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 113.52 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 113.62 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 113.49 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 113.67 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 113.62 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 113.66 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 113.64 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 113.72 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 113.64 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 113.54 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 113.52 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 113.64 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 113.56 samples/sec Train-accuracy=0.527077 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 113.65 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 113.55 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 113.43 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 113.47 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 113.65 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 112.94 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 112.94 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 113.71 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 113.71 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 113.79 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 113.49 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 113.68 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 113.70 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 113.69 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 113.59 samples/sec Train-accuracy=0.522462 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.762846 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 113.91 samples/sec Train-accuracy=0.508923 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 113.91 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 113.63 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 113.60 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 113.61 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 113.68 samples/sec Train-accuracy=0.521154 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 113.51 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 113.44 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 113.55 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 113.71 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 113.68 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 113.64 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 113.64 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 113.61 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 113.64 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 113.60 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 113.52 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 113.61 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 113.55 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 113.47 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 113.63 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 113.52 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[40] Resetting Data Iterator | |
| INFO:root:Epoch[40] Time cost=11276.006 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0041.params" | |
| INFO:root:Epoch[40] Validation-accuracy=0.564727 | |
| INFO:root:Epoch[40] Validation-top_k_accuracy_5=0.813990 | |
| INFO:root:Epoch[41] Batch [50] Speed: 116.04 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[41] Batch [50] Speed: 116.04 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[41] Batch [100] Speed: 113.67 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[41] Batch [100] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[41] Batch [150] Speed: 113.72 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[41] Batch [150] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[41] Batch [200] Speed: 113.65 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[41] Batch [200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.761846 | |
| INFO:root:Epoch[41] Batch [250] Speed: 113.69 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[41] Batch [250] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[41] Batch [300] Speed: 113.76 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[41] Batch [300] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[41] Batch [350] Speed: 113.57 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[41] Batch [350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[41] Batch [400] Speed: 113.80 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[41] Batch [400] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[41] Batch [450] Speed: 113.67 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[41] Batch [450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[41] Batch [500] Speed: 113.67 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[41] Batch [500] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[41] Batch [550] Speed: 113.65 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[41] Batch [550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[41] Batch [600] Speed: 113.70 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[41] Batch [600] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[41] Batch [650] Speed: 113.76 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[41] Batch [650] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[41] Batch [700] Speed: 113.70 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[41] Batch [700] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[41] Batch [750] Speed: 113.62 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[41] Batch [750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[41] Batch [800] Speed: 113.54 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[41] Batch [800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[41] Batch [850] Speed: 113.73 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[41] Batch [850] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[41] Batch [900] Speed: 113.71 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[41] Batch [900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[41] Batch [950] Speed: 113.67 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[41] Batch [950] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 113.60 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 113.75 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 113.57 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 113.63 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 113.66 samples/sec Train-accuracy=0.509615 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 113.67 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 113.65 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 113.65 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 113.63 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.762308 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 113.62 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 113.59 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 113.30 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 113.46 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 113.86 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 113.86 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 113.71 samples/sec Train-accuracy=0.512154 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 113.72 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 113.62 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 113.44 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 113.59 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 113.62 samples/sec Train-accuracy=0.527692 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.759846 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 113.76 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 113.56 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 113.78 samples/sec Train-accuracy=0.528077 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.763538 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 113.61 samples/sec Train-accuracy=0.522615 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 113.67 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 113.62 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 113.55 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 113.60 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 113.67 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.744385 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 113.64 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 113.48 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 113.65 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 113.55 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749000 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 113.68 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.747538 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 113.67 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 113.50 samples/sec Train-accuracy=0.508462 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 113.45 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 113.55 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 113.53 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 113.60 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 113.53 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.750077 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 113.63 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 113.48 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.747154 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 113.64 samples/sec Train-accuracy=0.524077 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 113.57 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 113.68 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 113.66 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 113.47 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 113.61 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 113.57 samples/sec Train-accuracy=0.522308 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 113.58 samples/sec Train-accuracy=0.524385 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 113.62 samples/sec Train-accuracy=0.523538 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 113.48 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 113.68 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 113.61 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 113.57 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 113.63 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 113.64 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 113.64 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.744923 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 113.48 samples/sec Train-accuracy=0.511308 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.750308 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 113.68 samples/sec Train-accuracy=0.513077 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 113.52 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 113.74 samples/sec Train-accuracy=0.523692 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 113.73 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 113.62 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 113.63 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 113.45 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 113.65 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 113.62 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 113.83 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 113.83 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 113.71 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 113.68 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 113.69 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.748538 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 113.62 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.750615 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 113.25 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 113.25 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 113.60 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 113.61 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 113.58 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 113.76 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[41] Resetting Data Iterator | |
| INFO:root:Epoch[41] Time cost=11275.242 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0042.params" | |
| INFO:root:Epoch[41] Validation-accuracy=0.577919 | |
| INFO:root:Epoch[41] Validation-top_k_accuracy_5=0.823256 | |
| INFO:root:Epoch[42] Batch [50] Speed: 116.06 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[42] Batch [50] Speed: 116.06 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[42] Batch [100] Speed: 113.48 samples/sec Train-accuracy=0.524231 | |
| INFO:root:Epoch[42] Batch [100] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[42] Batch [150] Speed: 113.63 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[42] Batch [150] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[42] Batch [200] Speed: 113.65 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[42] Batch [200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[42] Batch [250] Speed: 113.59 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[42] Batch [250] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[42] Batch [300] Speed: 113.55 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[42] Batch [300] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[42] Batch [350] Speed: 113.53 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[42] Batch [350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[42] Batch [400] Speed: 113.65 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[42] Batch [400] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.761769 | |
| INFO:root:Epoch[42] Batch [450] Speed: 113.76 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[42] Batch [450] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[42] Batch [500] Speed: 113.65 samples/sec Train-accuracy=0.525538 | |
| INFO:root:Epoch[42] Batch [500] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[42] Batch [550] Speed: 113.69 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[42] Batch [550] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[42] Batch [600] Speed: 113.73 samples/sec Train-accuracy=0.510154 | |
| INFO:root:Epoch[42] Batch [600] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.751308 | |
| INFO:root:Epoch[42] Batch [650] Speed: 113.65 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[42] Batch [650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[42] Batch [700] Speed: 113.59 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[42] Batch [700] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[42] Batch [750] Speed: 113.72 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[42] Batch [750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[42] Batch [800] Speed: 113.50 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[42] Batch [800] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[42] Batch [850] Speed: 113.71 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[42] Batch [850] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[42] Batch [900] Speed: 113.58 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[42] Batch [900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[42] Batch [950] Speed: 113.70 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[42] Batch [950] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 113.67 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 113.45 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 113.60 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 113.46 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 113.55 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 113.77 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 113.56 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 113.69 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.747692 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 113.54 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 113.62 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 113.48 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 113.58 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 113.50 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 113.69 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 113.70 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 113.69 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.748846 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 113.59 samples/sec Train-accuracy=0.523385 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 113.53 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 113.58 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 113.62 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 113.48 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 113.55 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 113.55 samples/sec Train-accuracy=0.524462 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.766538 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 113.65 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 113.65 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 113.66 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 113.60 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 113.69 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 113.56 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 113.34 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 113.58 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 113.65 samples/sec Train-accuracy=0.507077 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 113.34 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 113.34 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 113.49 samples/sec Train-accuracy=0.524000 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.762846 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 113.61 samples/sec Train-accuracy=0.524154 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.763231 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 113.62 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 113.64 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 113.64 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 113.60 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 113.61 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 113.53 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 113.63 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 113.54 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 113.70 samples/sec Train-accuracy=0.521692 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 113.50 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 113.62 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 113.64 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 113.51 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 113.46 samples/sec Train-accuracy=0.505692 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 113.67 samples/sec Train-accuracy=0.521769 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760077 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 113.57 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 113.56 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 113.68 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 113.50 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 113.67 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 113.70 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 113.58 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 113.66 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.762385 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 113.80 samples/sec Train-accuracy=0.506308 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 113.69 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 113.62 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 113.63 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 113.80 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 113.60 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 113.75 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 113.75 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 113.54 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 113.76 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.761538 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 113.49 samples/sec Train-accuracy=0.509308 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.745231 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 113.74 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 113.60 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 113.72 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 113.68 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 113.56 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 113.83 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 113.83 samples/sec Train-top_k_accuracy_5=0.757769 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 113.59 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 113.66 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 113.76 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 113.59 samples/sec Train-accuracy=0.524231 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[42] Resetting Data Iterator | |
| INFO:root:Epoch[42] Time cost=11276.031 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0043.params" | |
| INFO:root:Epoch[42] Validation-accuracy=0.562475 | |
| INFO:root:Epoch[42] Validation-top_k_accuracy_5=0.814169 | |
| INFO:root:Epoch[43] Batch [50] Speed: 115.97 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[43] Batch [50] Speed: 115.97 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[43] Batch [100] Speed: 113.76 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[43] Batch [100] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[43] Batch [150] Speed: 113.72 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[43] Batch [150] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[43] Batch [200] Speed: 113.81 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[43] Batch [200] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[43] Batch [250] Speed: 113.56 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[43] Batch [250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[43] Batch [300] Speed: 113.61 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[43] Batch [300] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.762462 | |
| INFO:root:Epoch[43] Batch [350] Speed: 113.74 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[43] Batch [350] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[43] Batch [400] Speed: 113.56 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[43] Batch [400] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[43] Batch [450] Speed: 113.57 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[43] Batch [450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[43] Batch [500] Speed: 113.73 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[43] Batch [500] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[43] Batch [550] Speed: 113.74 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[43] Batch [550] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[43] Batch [600] Speed: 113.56 samples/sec Train-accuracy=0.508615 | |
| INFO:root:Epoch[43] Batch [600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[43] Batch [650] Speed: 113.76 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[43] Batch [650] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[43] Batch [700] Speed: 113.60 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[43] Batch [700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[43] Batch [750] Speed: 113.78 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[43] Batch [750] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[43] Batch [800] Speed: 113.71 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[43] Batch [800] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[43] Batch [850] Speed: 113.59 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[43] Batch [850] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[43] Batch [900] Speed: 113.67 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[43] Batch [900] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[43] Batch [950] Speed: 113.40 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[43] Batch [950] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 113.65 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 113.68 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 113.67 samples/sec Train-accuracy=0.507000 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 113.71 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 113.48 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 113.63 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 113.76 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 113.66 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 113.69 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.750769 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 113.74 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 113.64 samples/sec Train-accuracy=0.525846 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 113.62 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 113.65 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 113.68 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 113.69 samples/sec Train-accuracy=0.509077 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 113.72 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 113.60 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 113.69 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.763077 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 113.66 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.744615 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 113.73 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 113.58 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 113.71 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 113.63 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 113.50 samples/sec Train-accuracy=0.523385 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 113.77 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 113.52 samples/sec Train-accuracy=0.509231 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 113.82 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 113.52 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 113.66 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 113.56 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 113.51 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 113.47 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.750692 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 113.57 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 113.51 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 113.61 samples/sec Train-accuracy=0.524538 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 113.55 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 113.60 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 113.73 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 113.72 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 113.47 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 113.49 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 113.62 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 113.64 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 113.48 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.759846 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 113.69 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 113.69 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 113.66 samples/sec Train-accuracy=0.509692 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 113.62 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 113.66 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 113.55 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 113.68 samples/sec Train-accuracy=0.523846 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 113.63 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 113.69 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 113.68 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 113.46 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.760846 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 113.62 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 113.60 samples/sec Train-accuracy=0.523615 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 113.66 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.762308 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 113.65 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 113.66 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 113.66 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 113.69 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 113.56 samples/sec Train-accuracy=0.527769 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.762385 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 113.80 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 113.67 samples/sec Train-accuracy=0.503846 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 113.66 samples/sec Train-accuracy=0.523538 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 113.59 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 113.58 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 113.63 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 113.59 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 113.55 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 113.53 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 113.63 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 113.76 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 113.62 samples/sec Train-accuracy=0.523538 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 113.66 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 113.60 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 113.61 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 113.32 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[43] Resetting Data Iterator | |
| INFO:root:Epoch[43] Time cost=11272.077 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0044.params" | |
| INFO:root:Epoch[43] Validation-accuracy=0.577780 | |
| INFO:root:Epoch[43] Validation-top_k_accuracy_5=0.822639 | |
| INFO:root:Epoch[44] Batch [50] Speed: 116.05 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[44] Batch [50] Speed: 116.05 samples/sec Train-top_k_accuracy_5=0.764000 | |
| INFO:root:Epoch[44] Batch [100] Speed: 113.69 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[44] Batch [100] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[44] Batch [150] Speed: 113.73 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[44] Batch [150] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[44] Batch [200] Speed: 113.52 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[44] Batch [200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[44] Batch [250] Speed: 113.60 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[44] Batch [250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[44] Batch [300] Speed: 113.62 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[44] Batch [300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[44] Batch [350] Speed: 113.50 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[44] Batch [350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[44] Batch [400] Speed: 113.68 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[44] Batch [400] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[44] Batch [450] Speed: 113.69 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[44] Batch [450] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[44] Batch [500] Speed: 113.75 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[44] Batch [500] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[44] Batch [550] Speed: 113.64 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[44] Batch [550] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[44] Batch [600] Speed: 113.74 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[44] Batch [600] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[44] Batch [650] Speed: 113.69 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[44] Batch [650] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[44] Batch [700] Speed: 113.68 samples/sec Train-accuracy=0.522846 | |
| INFO:root:Epoch[44] Batch [700] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[44] Batch [750] Speed: 113.49 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[44] Batch [750] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[44] Batch [800] Speed: 113.62 samples/sec Train-accuracy=0.509923 | |
| INFO:root:Epoch[44] Batch [800] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[44] Batch [850] Speed: 113.57 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[44] Batch [850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[44] Batch [900] Speed: 113.63 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[44] Batch [900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.745308 | |
| INFO:root:Epoch[44] Batch [950] Speed: 113.72 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[44] Batch [950] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 113.74 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 113.58 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 113.62 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 113.77 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 113.68 samples/sec Train-accuracy=0.505462 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 113.65 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.761077 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 113.70 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 113.65 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 113.67 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 113.72 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 113.71 samples/sec Train-accuracy=0.520846 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 113.69 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 113.75 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 113.66 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 113.74 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 113.51 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 113.66 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 113.57 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 113.64 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 113.61 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 113.58 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 113.54 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 113.68 samples/sec Train-accuracy=0.528538 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.765385 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 113.53 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 113.74 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.761769 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 113.65 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 113.46 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 113.73 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 113.83 samples/sec Train-accuracy=0.523154 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 113.83 samples/sec Train-top_k_accuracy_5=0.764462 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 113.66 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 113.57 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 113.75 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 113.79 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 113.44 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 113.84 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 113.84 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 113.78 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 113.87 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 113.87 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 113.74 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 113.71 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 113.70 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 113.69 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 113.82 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 113.60 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 113.66 samples/sec Train-accuracy=0.507538 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 113.72 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 113.66 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.748308 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 113.61 samples/sec Train-accuracy=0.523615 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 113.82 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 113.62 samples/sec Train-accuracy=0.522462 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 113.81 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 113.69 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 113.78 samples/sec Train-accuracy=0.522308 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 113.65 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 113.60 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 113.63 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 113.80 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 113.58 samples/sec Train-accuracy=0.524385 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.763231 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 113.06 samples/sec Train-accuracy=0.511385 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 113.60 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 113.72 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 113.84 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 113.84 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 113.76 samples/sec Train-accuracy=0.531308 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.762769 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 113.69 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 113.87 samples/sec Train-accuracy=0.506846 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 113.87 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 113.82 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 113.75 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 113.73 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 113.73 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 113.73 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 113.70 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 113.61 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 113.64 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 113.67 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 113.72 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 113.66 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 113.82 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 113.60 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 113.65 samples/sec Train-accuracy=0.506231 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[44] Resetting Data Iterator | |
| INFO:root:Epoch[44] Time cost=11270.399 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0045.params" | |
| INFO:root:Epoch[44] Validation-accuracy=0.579374 | |
| INFO:root:Epoch[44] Validation-top_k_accuracy_5=0.825269 | |
| INFO:root:Epoch[45] Batch [50] Speed: 115.91 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[45] Batch [50] Speed: 115.91 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[45] Batch [100] Speed: 113.75 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[45] Batch [100] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[45] Batch [150] Speed: 113.70 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[45] Batch [150] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[45] Batch [200] Speed: 113.55 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[45] Batch [200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[45] Batch [250] Speed: 113.78 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[45] Batch [250] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[45] Batch [300] Speed: 113.49 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[45] Batch [300] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[45] Batch [350] Speed: 113.76 samples/sec Train-accuracy=0.525462 | |
| INFO:root:Epoch[45] Batch [350] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[45] Batch [400] Speed: 113.65 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[45] Batch [400] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[45] Batch [450] Speed: 113.70 samples/sec Train-accuracy=0.511923 | |
| INFO:root:Epoch[45] Batch [450] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[45] Batch [500] Speed: 113.64 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[45] Batch [500] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[45] Batch [550] Speed: 113.67 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[45] Batch [550] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[45] Batch [600] Speed: 113.61 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[45] Batch [600] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[45] Batch [650] Speed: 113.81 samples/sec Train-accuracy=0.510615 | |
| INFO:root:Epoch[45] Batch [650] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[45] Batch [700] Speed: 113.52 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[45] Batch [700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[45] Batch [750] Speed: 113.68 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[45] Batch [750] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[45] Batch [800] Speed: 113.72 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[45] Batch [800] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[45] Batch [850] Speed: 113.71 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[45] Batch [850] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[45] Batch [900] Speed: 113.71 samples/sec Train-accuracy=0.510769 | |
| INFO:root:Epoch[45] Batch [900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[45] Batch [950] Speed: 113.72 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[45] Batch [950] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 113.75 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 113.70 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 113.73 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.762000 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 113.31 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 113.65 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 113.83 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 113.83 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 113.73 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 113.68 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 113.58 samples/sec Train-accuracy=0.523615 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 113.70 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.763923 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 113.82 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 113.67 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 113.62 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 113.64 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 113.61 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 113.53 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 113.55 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 113.76 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 113.73 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.746769 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 113.73 samples/sec Train-accuracy=0.522846 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 113.59 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 113.40 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 113.78 samples/sec Train-accuracy=0.526846 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 113.65 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 113.62 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 113.62 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 113.67 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 113.68 samples/sec Train-accuracy=0.510923 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 113.75 samples/sec Train-accuracy=0.522231 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 113.77 samples/sec Train-accuracy=0.512308 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 113.75 samples/sec Train-accuracy=0.506769 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 113.64 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 113.57 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 113.51 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 113.55 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 113.72 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 113.79 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 113.63 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 113.76 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 113.64 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 113.73 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 113.60 samples/sec Train-accuracy=0.524615 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 113.67 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 113.67 samples/sec Train-accuracy=0.524308 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 113.67 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 113.60 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 113.63 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 113.78 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.760846 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 113.74 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 113.72 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 113.73 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 113.81 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 113.74 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 113.77 samples/sec Train-accuracy=0.524923 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 113.75 samples/sec Train-accuracy=0.512692 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 113.62 samples/sec Train-accuracy=0.515154 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 113.78 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 113.60 samples/sec Train-accuracy=0.524077 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 113.75 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 113.77 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 113.71 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.751769 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 113.57 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 113.52 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 113.72 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 113.69 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 113.57 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 113.72 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.754615 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 113.61 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 113.76 samples/sec Train-accuracy=0.512923 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 113.68 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 113.58 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 113.04 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 113.04 samples/sec Train-top_k_accuracy_5=0.761154 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 113.62 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 113.57 samples/sec Train-accuracy=0.504538 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749846 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 113.70 samples/sec Train-accuracy=0.523692 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 113.53 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 113.63 samples/sec Train-accuracy=0.510692 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 113.75 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 113.75 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[45] Resetting Data Iterator | |
| INFO:root:Epoch[45] Time cost=11268.889 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0046.params" | |
| INFO:root:Epoch[45] Validation-accuracy=0.591969 | |
| INFO:root:Epoch[45] Validation-top_k_accuracy_5=0.834954 | |
| INFO:root:Epoch[46] Batch [50] Speed: 116.00 samples/sec Train-accuracy=0.524538 | |
| INFO:root:Epoch[46] Batch [50] Speed: 116.00 samples/sec Train-top_k_accuracy_5=0.763615 | |
| INFO:root:Epoch[46] Batch [100] Speed: 113.64 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[46] Batch [100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[46] Batch [150] Speed: 113.62 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[46] Batch [150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[46] Batch [200] Speed: 113.56 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[46] Batch [200] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[46] Batch [250] Speed: 113.49 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[46] Batch [250] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[46] Batch [300] Speed: 113.71 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[46] Batch [300] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[46] Batch [350] Speed: 113.76 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[46] Batch [350] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[46] Batch [400] Speed: 113.78 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[46] Batch [400] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[46] Batch [450] Speed: 113.60 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[46] Batch [450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[46] Batch [500] Speed: 113.62 samples/sec Train-accuracy=0.527077 | |
| INFO:root:Epoch[46] Batch [500] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[46] Batch [550] Speed: 113.71 samples/sec Train-accuracy=0.509000 | |
| INFO:root:Epoch[46] Batch [550] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[46] Batch [600] Speed: 113.71 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[46] Batch [600] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.745462 | |
| INFO:root:Epoch[46] Batch [650] Speed: 113.67 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[46] Batch [650] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[46] Batch [700] Speed: 113.77 samples/sec Train-accuracy=0.507846 | |
| INFO:root:Epoch[46] Batch [700] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[46] Batch [750] Speed: 113.76 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[46] Batch [750] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[46] Batch [800] Speed: 113.79 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[46] Batch [800] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.746462 | |
| INFO:root:Epoch[46] Batch [850] Speed: 113.73 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[46] Batch [850] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[46] Batch [900] Speed: 113.80 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[46] Batch [900] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[46] Batch [950] Speed: 113.80 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[46] Batch [950] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 113.72 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 113.70 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 113.71 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 113.62 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 113.73 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 113.80 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 113.65 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 113.77 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 113.75 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 113.77 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 113.70 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 113.60 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 113.61 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 113.80 samples/sec Train-accuracy=0.508231 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 113.76 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.751077 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 113.65 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 113.78 samples/sec Train-accuracy=0.523846 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 113.71 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 113.76 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 113.70 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 113.89 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 113.89 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 113.63 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 113.64 samples/sec Train-accuracy=0.525538 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 113.61 samples/sec Train-accuracy=0.523769 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 113.63 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 113.65 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 113.69 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.760077 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 113.59 samples/sec Train-accuracy=0.509077 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 113.87 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 113.87 samples/sec Train-top_k_accuracy_5=0.748769 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 113.59 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 113.69 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 113.59 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 113.69 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 113.78 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 113.53 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.762077 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 113.60 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.749231 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 113.69 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 113.76 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 113.85 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 113.85 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 113.63 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 113.72 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 113.75 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 113.68 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 113.76 samples/sec Train-accuracy=0.522462 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.759846 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 113.82 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 113.79 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 113.67 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 113.77 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 113.57 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 113.77 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 113.66 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 113.73 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 113.63 samples/sec Train-accuracy=0.526462 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 113.70 samples/sec Train-accuracy=0.524000 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 113.56 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 113.72 samples/sec Train-accuracy=0.522308 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 113.69 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 113.60 samples/sec Train-accuracy=0.529462 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.764846 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 113.71 samples/sec Train-accuracy=0.509462 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.746538 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 113.57 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 113.56 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.752385 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 113.68 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 113.81 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 113.76 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 113.76 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 113.23 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 113.61 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 113.64 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 113.64 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 113.70 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 113.53 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 113.74 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.764385 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 113.72 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 113.79 samples/sec Train-accuracy=0.503923 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.750154 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 113.72 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 113.73 samples/sec Train-accuracy=0.508385 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 113.69 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.747462 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 113.76 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 113.78 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[46] Resetting Data Iterator | |
| INFO:root:Epoch[46] Time cost=11269.001 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0047.params" | |
| INFO:root:Epoch[46] Validation-accuracy=0.570865 | |
| INFO:root:Epoch[46] Validation-top_k_accuracy_5=0.821104 | |
| INFO:root:Epoch[47] Batch [50] Speed: 116.01 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[47] Batch [50] Speed: 116.01 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[47] Batch [100] Speed: 113.74 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[47] Batch [100] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[47] Batch [150] Speed: 113.76 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[47] Batch [150] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[47] Batch [200] Speed: 113.71 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[47] Batch [200] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[47] Batch [250] Speed: 113.59 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[47] Batch [250] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[47] Batch [300] Speed: 113.76 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[47] Batch [300] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[47] Batch [350] Speed: 113.65 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[47] Batch [350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[47] Batch [400] Speed: 113.64 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[47] Batch [400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[47] Batch [450] Speed: 113.64 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[47] Batch [450] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[47] Batch [500] Speed: 113.79 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[47] Batch [500] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[47] Batch [550] Speed: 113.74 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[47] Batch [550] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[47] Batch [600] Speed: 113.51 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[47] Batch [600] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[47] Batch [650] Speed: 113.73 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[47] Batch [650] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.759846 | |
| INFO:root:Epoch[47] Batch [700] Speed: 113.73 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[47] Batch [700] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[47] Batch [750] Speed: 113.65 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[47] Batch [750] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[47] Batch [800] Speed: 113.68 samples/sec Train-accuracy=0.508077 | |
| INFO:root:Epoch[47] Batch [800] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.744000 | |
| INFO:root:Epoch[47] Batch [850] Speed: 113.76 samples/sec Train-accuracy=0.520923 | |
| INFO:root:Epoch[47] Batch [850] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[47] Batch [900] Speed: 113.66 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[47] Batch [900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[47] Batch [950] Speed: 113.72 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[47] Batch [950] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 113.72 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 113.73 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 113.76 samples/sec Train-accuracy=0.518231 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 113.71 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 113.46 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 113.69 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 113.72 samples/sec Train-accuracy=0.508000 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 113.68 samples/sec Train-accuracy=0.524538 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 113.70 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 113.67 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 113.72 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 113.77 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 113.65 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 113.68 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 113.65 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 113.71 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 113.54 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.751231 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 113.55 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 113.61 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 113.64 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 113.77 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 113.60 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 113.84 samples/sec Train-accuracy=0.523385 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 113.84 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 113.71 samples/sec Train-accuracy=0.527769 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 113.65 samples/sec Train-accuracy=0.524308 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 113.75 samples/sec Train-accuracy=0.512077 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 113.65 samples/sec Train-accuracy=0.514385 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 113.65 samples/sec Train-accuracy=0.511769 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.742077 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 113.67 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 113.79 samples/sec Train-accuracy=0.513308 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 113.66 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 113.63 samples/sec Train-accuracy=0.524077 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 113.61 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 113.56 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 113.35 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 113.60 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 113.75 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 113.61 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 113.82 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 113.60 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 113.59 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 113.65 samples/sec Train-accuracy=0.507923 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 113.53 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 113.74 samples/sec Train-accuracy=0.508769 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 113.56 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 113.71 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 113.50 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 113.71 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.748154 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 113.76 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 113.80 samples/sec Train-accuracy=0.523000 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.765923 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 113.68 samples/sec Train-accuracy=0.525846 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 113.60 samples/sec Train-accuracy=0.526231 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 113.67 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 113.78 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 113.69 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.749154 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 113.78 samples/sec Train-accuracy=0.526923 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 113.73 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 113.72 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 113.65 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 113.71 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 113.71 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 113.78 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 113.57 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 113.76 samples/sec Train-accuracy=0.511538 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 113.62 samples/sec Train-accuracy=0.521692 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 113.80 samples/sec Train-accuracy=0.518154 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 113.71 samples/sec Train-accuracy=0.523846 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 113.64 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 113.74 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 113.06 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 113.06 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 113.74 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 113.71 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 113.68 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 113.68 samples/sec Train-accuracy=0.523769 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 113.76 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 113.78 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 113.61 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 113.81 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 113.81 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[47] Resetting Data Iterator | |
| INFO:root:Epoch[47] Time cost=11267.860 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0048.params" | |
| INFO:root:Epoch[47] Validation-accuracy=0.575209 | |
| INFO:root:Epoch[47] Validation-top_k_accuracy_5=0.821044 | |
| INFO:root:Epoch[48] Batch [50] Speed: 115.93 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[48] Batch [50] Speed: 115.93 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[48] Batch [100] Speed: 113.60 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[48] Batch [100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[48] Batch [150] Speed: 113.68 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[48] Batch [150] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[48] Batch [200] Speed: 113.69 samples/sec Train-accuracy=0.525308 | |
| INFO:root:Epoch[48] Batch [200] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[48] Batch [250] Speed: 113.31 samples/sec Train-accuracy=0.510000 | |
| INFO:root:Epoch[48] Batch [250] Speed: 113.31 samples/sec Train-top_k_accuracy_5=0.746000 | |
| INFO:root:Epoch[48] Batch [300] Speed: 113.70 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[48] Batch [300] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[48] Batch [350] Speed: 113.40 samples/sec Train-accuracy=0.523154 | |
| INFO:root:Epoch[48] Batch [350] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[48] Batch [400] Speed: 113.67 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[48] Batch [400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.766462 | |
| INFO:root:Epoch[48] Batch [450] Speed: 113.56 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[48] Batch [450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.762231 | |
| INFO:root:Epoch[48] Batch [500] Speed: 113.75 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[48] Batch [500] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[48] Batch [550] Speed: 113.76 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[48] Batch [550] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[48] Batch [600] Speed: 113.35 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[48] Batch [600] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.747923 | |
| INFO:root:Epoch[48] Batch [650] Speed: 113.68 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[48] Batch [650] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[48] Batch [700] Speed: 113.69 samples/sec Train-accuracy=0.515615 | |
| INFO:root:Epoch[48] Batch [700] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[48] Batch [750] Speed: 113.58 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[48] Batch [750] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[48] Batch [800] Speed: 113.73 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[48] Batch [800] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.749077 | |
| INFO:root:Epoch[48] Batch [850] Speed: 113.51 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[48] Batch [850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[48] Batch [900] Speed: 113.57 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[48] Batch [900] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[48] Batch [950] Speed: 113.66 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[48] Batch [950] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 113.71 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759538 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 113.73 samples/sec Train-accuracy=0.527615 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.763000 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 113.60 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 113.61 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 113.80 samples/sec Train-accuracy=0.509154 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 113.80 samples/sec Train-top_k_accuracy_5=0.749923 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 113.58 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 113.71 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 113.64 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 113.61 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 113.67 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 113.70 samples/sec Train-accuracy=0.526000 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 113.65 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 113.64 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 113.69 samples/sec Train-accuracy=0.513846 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.758615 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 113.65 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 113.62 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 113.65 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.764308 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 113.54 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 113.74 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 113.61 samples/sec Train-accuracy=0.525154 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 113.37 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 113.37 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 113.67 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 113.46 samples/sec Train-accuracy=0.524000 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.762923 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 113.30 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 113.45 samples/sec Train-accuracy=0.525692 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.763000 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 113.55 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 113.63 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 113.51 samples/sec Train-accuracy=0.511846 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.746692 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 113.45 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 113.54 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 113.57 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 113.55 samples/sec Train-accuracy=0.508154 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 113.55 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.756615 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 113.53 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 113.52 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.759846 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 113.63 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 113.58 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 113.62 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 113.49 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 113.52 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 113.50 samples/sec Train-accuracy=0.520769 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 113.41 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 113.54 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 113.44 samples/sec Train-accuracy=0.524615 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 113.63 samples/sec Train-accuracy=0.503692 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 113.64 samples/sec Train-accuracy=0.526385 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.762769 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 113.65 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 113.60 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.763462 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 113.57 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 113.52 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750846 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 113.53 samples/sec Train-accuracy=0.522000 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 113.61 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 113.65 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 113.59 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.750923 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 113.53 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 113.62 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 113.61 samples/sec Train-accuracy=0.524692 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 113.47 samples/sec Train-accuracy=0.529154 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 113.63 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 113.52 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 113.66 samples/sec Train-accuracy=0.520923 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.756154 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 113.52 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 113.63 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.762077 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 113.53 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 113.39 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 113.38 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 113.43 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 113.38 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 113.51 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 113.51 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 113.47 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 113.52 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 113.53 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 113.43 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 113.63 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 113.68 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 113.58 samples/sec Train-accuracy=0.511615 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.749769 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 113.61 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 113.53 samples/sec Train-accuracy=0.514077 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[48] Resetting Data Iterator | |
| INFO:root:Epoch[48] Time cost=11280.172 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0049.params" | |
| INFO:root:Epoch[48] Validation-accuracy=0.590335 | |
| INFO:root:Epoch[48] Validation-top_k_accuracy_5=0.831706 | |
| INFO:root:Epoch[49] Batch [50] Speed: 115.89 samples/sec Train-accuracy=0.521154 | |
| INFO:root:Epoch[49] Batch [50] Speed: 115.89 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[49] Batch [100] Speed: 113.52 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[49] Batch [100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[49] Batch [150] Speed: 113.62 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[49] Batch [150] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[49] Batch [200] Speed: 113.61 samples/sec Train-accuracy=0.513077 | |
| INFO:root:Epoch[49] Batch [200] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[49] Batch [250] Speed: 113.60 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[49] Batch [250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.747077 | |
| INFO:root:Epoch[49] Batch [300] Speed: 113.64 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[49] Batch [300] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[49] Batch [350] Speed: 113.51 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[49] Batch [350] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[49] Batch [400] Speed: 113.56 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[49] Batch [400] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[49] Batch [450] Speed: 113.53 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[49] Batch [450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[49] Batch [500] Speed: 113.20 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[49] Batch [500] Speed: 113.20 samples/sec Train-top_k_accuracy_5=0.762538 | |
| INFO:root:Epoch[49] Batch [550] Speed: 113.66 samples/sec Train-accuracy=0.514692 | |
| INFO:root:Epoch[49] Batch [550] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.761154 | |
| INFO:root:Epoch[49] Batch [600] Speed: 113.64 samples/sec Train-accuracy=0.504385 | |
| INFO:root:Epoch[49] Batch [600] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[49] Batch [650] Speed: 113.53 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[49] Batch [650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[49] Batch [700] Speed: 113.62 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[49] Batch [700] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[49] Batch [750] Speed: 113.51 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[49] Batch [750] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[49] Batch [800] Speed: 113.52 samples/sec Train-accuracy=0.516000 | |
| INFO:root:Epoch[49] Batch [800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[49] Batch [850] Speed: 113.57 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[49] Batch [850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750000 | |
| INFO:root:Epoch[49] Batch [900] Speed: 113.63 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[49] Batch [900] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.748000 | |
| INFO:root:Epoch[49] Batch [950] Speed: 113.61 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[49] Batch [950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 113.67 samples/sec Train-accuracy=0.522231 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 113.65 samples/sec Train-accuracy=0.519769 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 113.64 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 113.52 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 113.69 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 113.66 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759769 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 113.52 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754154 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 113.77 samples/sec Train-accuracy=0.513231 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.751615 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 113.12 samples/sec Train-accuracy=0.524692 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 113.12 samples/sec Train-top_k_accuracy_5=0.761615 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 113.64 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 113.47 samples/sec Train-accuracy=0.531846 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 113.46 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 113.49 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 113.60 samples/sec Train-accuracy=0.514923 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 113.60 samples/sec Train-accuracy=0.507154 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 113.74 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 113.57 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 113.67 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 113.52 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 113.63 samples/sec Train-accuracy=0.524846 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 113.48 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 113.65 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 113.42 samples/sec Train-accuracy=0.526385 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 113.57 samples/sec Train-accuracy=0.524692 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 113.54 samples/sec Train-accuracy=0.526923 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 113.58 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.761615 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 113.48 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.757308 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 113.45 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.748462 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 113.62 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 113.47 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.752538 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 113.54 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 113.42 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 113.53 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 113.62 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.760077 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 113.63 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 113.61 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 113.68 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 113.66 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.763385 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 113.55 samples/sec Train-accuracy=0.525231 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 113.61 samples/sec Train-accuracy=0.508846 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 113.55 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.747769 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 113.59 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 113.55 samples/sec Train-accuracy=0.510231 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 113.68 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 113.23 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 113.23 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 113.72 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 113.62 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 113.59 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 113.64 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 113.62 samples/sec Train-accuracy=0.525077 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 113.56 samples/sec Train-accuracy=0.524154 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.762538 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 113.75 samples/sec Train-accuracy=0.520615 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 113.56 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 113.38 samples/sec Train-accuracy=0.523154 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 113.62 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 113.52 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 113.67 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.750385 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 113.69 samples/sec Train-accuracy=0.528000 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.761154 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 113.54 samples/sec Train-accuracy=0.514154 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.749692 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 113.64 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 113.67 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 113.59 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 113.27 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 113.27 samples/sec Train-top_k_accuracy_5=0.761538 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 113.59 samples/sec Train-accuracy=0.524154 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 113.69 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 113.62 samples/sec Train-accuracy=0.527077 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.760846 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 113.62 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 113.62 samples/sec Train-accuracy=0.525077 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 113.58 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756000 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 113.57 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 113.71 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.761769 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 113.73 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 113.73 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 113.56 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 113.65 samples/sec Train-accuracy=0.512385 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 113.60 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 113.68 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.761769 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 113.71 samples/sec Train-accuracy=0.505308 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.749308 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 113.52 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 113.50 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.762231 | |
| INFO:root:Epoch[49] Resetting Data Iterator | |
| INFO:root:Epoch[49] Time cost=11279.878 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0050.params" | |
| INFO:root:Epoch[49] Validation-accuracy=0.536588 | |
| INFO:root:Epoch[49] Validation-top_k_accuracy_5=0.787525 | |
| INFO:root:Epoch[50] Batch [50] Speed: 116.06 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[50] Batch [50] Speed: 116.06 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[50] Batch [100] Speed: 113.47 samples/sec Train-accuracy=0.521462 | |
| INFO:root:Epoch[50] Batch [100] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[50] Batch [150] Speed: 113.50 samples/sec Train-accuracy=0.513923 | |
| INFO:root:Epoch[50] Batch [150] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[50] Batch [200] Speed: 113.36 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[50] Batch [200] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[50] Batch [250] Speed: 113.78 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[50] Batch [250] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[50] Batch [300] Speed: 113.70 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[50] Batch [300] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[50] Batch [350] Speed: 113.65 samples/sec Train-accuracy=0.522692 | |
| INFO:root:Epoch[50] Batch [350] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[50] Batch [400] Speed: 113.60 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[50] Batch [400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.761846 | |
| INFO:root:Epoch[50] Batch [450] Speed: 113.69 samples/sec Train-accuracy=0.518077 | |
| INFO:root:Epoch[50] Batch [450] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[50] Batch [500] Speed: 113.52 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[50] Batch [500] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.760692 | |
| INFO:root:Epoch[50] Batch [550] Speed: 113.50 samples/sec Train-accuracy=0.512615 | |
| INFO:root:Epoch[50] Batch [550] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[50] Batch [600] Speed: 113.52 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[50] Batch [600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[50] Batch [650] Speed: 113.61 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[50] Batch [650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[50] Batch [700] Speed: 113.33 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[50] Batch [700] Speed: 113.33 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[50] Batch [750] Speed: 113.63 samples/sec Train-accuracy=0.522000 | |
| INFO:root:Epoch[50] Batch [750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.761000 | |
| INFO:root:Epoch[50] Batch [800] Speed: 113.53 samples/sec Train-accuracy=0.510538 | |
| INFO:root:Epoch[50] Batch [800] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[50] Batch [850] Speed: 113.66 samples/sec Train-accuracy=0.514308 | |
| INFO:root:Epoch[50] Batch [850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[50] Batch [900] Speed: 113.65 samples/sec Train-accuracy=0.513615 | |
| INFO:root:Epoch[50] Batch [900] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.748692 | |
| INFO:root:Epoch[50] Batch [950] Speed: 113.78 samples/sec Train-accuracy=0.511462 | |
| INFO:root:Epoch[50] Batch [950] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.753308 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 113.54 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 113.54 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.760538 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 113.55 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.762154 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 113.70 samples/sec Train-accuracy=0.525385 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.759308 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 113.62 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 113.60 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 113.67 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 113.82 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 113.70 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 113.59 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 113.58 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 113.77 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.762923 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 113.71 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759308 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 113.64 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 113.76 samples/sec Train-accuracy=0.513154 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.753769 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 113.70 samples/sec Train-accuracy=0.514846 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.752231 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 113.48 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 113.64 samples/sec Train-accuracy=0.522231 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 113.59 samples/sec Train-accuracy=0.519308 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 113.58 samples/sec Train-accuracy=0.524846 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 113.57 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.750462 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 113.65 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 113.71 samples/sec Train-accuracy=0.528538 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.762923 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 113.55 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 113.60 samples/sec Train-accuracy=0.523846 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.760692 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 113.46 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 113.62 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 113.63 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.752769 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 113.51 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 113.63 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 113.61 samples/sec Train-accuracy=0.512538 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 113.61 samples/sec Train-accuracy=0.512846 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 113.75 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.755769 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 113.65 samples/sec Train-accuracy=0.507385 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.749462 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 113.45 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.754385 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 113.55 samples/sec Train-accuracy=0.517769 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 113.59 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 113.46 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.765923 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 113.56 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 113.63 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755923 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 113.63 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.755000 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 113.46 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 113.53 samples/sec Train-accuracy=0.511000 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.751000 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 113.69 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 113.55 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.753846 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 113.66 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 113.64 samples/sec Train-accuracy=0.517615 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 113.66 samples/sec Train-accuracy=0.516692 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 113.48 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 113.62 samples/sec Train-accuracy=0.524846 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 113.57 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 113.60 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757231 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 113.66 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 113.44 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 113.79 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 113.79 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 113.74 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.753615 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 113.61 samples/sec Train-accuracy=0.526538 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 113.49 samples/sec Train-accuracy=0.527154 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.765615 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 113.68 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.750538 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 113.48 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 113.72 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 113.52 samples/sec Train-accuracy=0.521154 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.761846 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 113.54 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.756538 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 113.46 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 113.67 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 113.42 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 113.51 samples/sec Train-accuracy=0.515385 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 113.52 samples/sec Train-accuracy=0.520385 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 113.40 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 113.48 samples/sec Train-accuracy=0.516308 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 113.44 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 113.52 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 113.52 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 113.46 samples/sec Train-accuracy=0.510846 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.748385 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 113.50 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 113.48 samples/sec Train-accuracy=0.515769 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 113.58 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.757923 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 113.64 samples/sec Train-accuracy=0.523769 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 113.45 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.752615 | |
| INFO:root:Epoch[50] Resetting Data Iterator | |
| INFO:root:Epoch[50] Time cost=11276.666 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0051.params" | |
| INFO:root:Epoch[50] Validation-accuracy=0.571542 | |
| INFO:root:Epoch[50] Validation-top_k_accuracy_5=0.817896 | |
| INFO:root:Epoch[51] Batch [50] Speed: 115.78 samples/sec Train-accuracy=0.525538 | |
| INFO:root:Epoch[51] Batch [50] Speed: 115.78 samples/sec Train-top_k_accuracy_5=0.765692 | |
| INFO:root:Epoch[51] Batch [100] Speed: 113.44 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[51] Batch [100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.751692 | |
| INFO:root:Epoch[51] Batch [150] Speed: 113.53 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[51] Batch [150] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.754692 | |
| INFO:root:Epoch[51] Batch [200] Speed: 113.48 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[51] Batch [200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.762769 | |
| INFO:root:Epoch[51] Batch [250] Speed: 113.38 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[51] Batch [250] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[51] Batch [300] Speed: 113.51 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[51] Batch [300] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[51] Batch [350] Speed: 113.38 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[51] Batch [350] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[51] Batch [400] Speed: 113.38 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[51] Batch [400] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.763077 | |
| INFO:root:Epoch[51] Batch [450] Speed: 113.56 samples/sec Train-accuracy=0.516385 | |
| INFO:root:Epoch[51] Batch [450] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.761000 | |
| INFO:root:Epoch[51] Batch [500] Speed: 113.48 samples/sec Train-accuracy=0.516769 | |
| INFO:root:Epoch[51] Batch [500] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.761923 | |
| INFO:root:Epoch[51] Batch [550] Speed: 113.53 samples/sec Train-accuracy=0.515077 | |
| INFO:root:Epoch[51] Batch [550] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.758846 | |
| INFO:root:Epoch[51] Batch [600] Speed: 113.47 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[51] Batch [600] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[51] Batch [650] Speed: 113.47 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[51] Batch [650] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[51] Batch [700] Speed: 113.58 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[51] Batch [700] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753000 | |
| INFO:root:Epoch[51] Batch [750] Speed: 113.38 samples/sec Train-accuracy=0.511692 | |
| INFO:root:Epoch[51] Batch [750] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.751385 | |
| INFO:root:Epoch[51] Batch [800] Speed: 113.52 samples/sec Train-accuracy=0.509846 | |
| INFO:root:Epoch[51] Batch [800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[51] Batch [850] Speed: 113.40 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[51] Batch [850] Speed: 113.40 samples/sec Train-top_k_accuracy_5=0.752154 | |
| INFO:root:Epoch[51] Batch [900] Speed: 113.55 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[51] Batch [900] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[51] Batch [950] Speed: 113.59 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[51] Batch [950] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 113.42 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 113.42 samples/sec Train-top_k_accuracy_5=0.756769 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 113.57 samples/sec Train-accuracy=0.521769 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.764077 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 113.54 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 113.56 samples/sec Train-accuracy=0.518769 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 113.48 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.755077 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 113.54 samples/sec Train-accuracy=0.512000 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754846 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 113.46 samples/sec Train-accuracy=0.518462 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 113.53 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 113.51 samples/sec Train-accuracy=0.526692 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 113.63 samples/sec Train-accuracy=0.522308 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 113.60 samples/sec Train-accuracy=0.523538 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759000 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 113.28 samples/sec Train-accuracy=0.521692 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 113.28 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 113.45 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 113.53 samples/sec Train-accuracy=0.522538 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.756385 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 113.61 samples/sec Train-accuracy=0.520692 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 113.41 samples/sec Train-accuracy=0.518846 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 113.52 samples/sec Train-accuracy=0.512462 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 113.45 samples/sec Train-accuracy=0.523077 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 113.32 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 113.32 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 113.62 samples/sec Train-accuracy=0.524692 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.759077 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 113.50 samples/sec Train-accuracy=0.510385 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.749385 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 113.63 samples/sec Train-accuracy=0.520769 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 113.44 samples/sec Train-accuracy=0.528308 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.761308 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 113.52 samples/sec Train-accuracy=0.519538 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.765769 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 113.51 samples/sec Train-accuracy=0.530538 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 113.38 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 113.38 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 113.58 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 113.56 samples/sec Train-accuracy=0.513462 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.748615 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 113.60 samples/sec Train-accuracy=0.521692 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 113.47 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.749538 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 113.68 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 113.47 samples/sec Train-accuracy=0.511154 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 113.52 samples/sec Train-accuracy=0.523231 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.759923 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 113.50 samples/sec Train-accuracy=0.524385 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 113.50 samples/sec Train-top_k_accuracy_5=0.758231 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 113.59 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 113.72 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 113.66 samples/sec Train-accuracy=0.523000 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.755538 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 113.72 samples/sec Train-accuracy=0.521385 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.765462 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 113.71 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 113.56 samples/sec Train-accuracy=0.516462 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.751462 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 113.63 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.754000 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 113.57 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.761231 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 113.61 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 113.47 samples/sec Train-accuracy=0.522615 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 113.45 samples/sec Train-accuracy=0.513692 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.757769 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 113.52 samples/sec Train-accuracy=0.520154 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.764231 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 113.30 samples/sec Train-accuracy=0.517154 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 113.30 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 113.26 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 113.55 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 113.60 samples/sec Train-accuracy=0.525846 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.761846 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 113.57 samples/sec Train-accuracy=0.526385 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 113.54 samples/sec Train-accuracy=0.518000 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.758769 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 113.51 samples/sec Train-accuracy=0.514538 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 113.60 samples/sec Train-accuracy=0.512769 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.754231 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 113.56 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 113.55 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759462 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 113.75 samples/sec Train-accuracy=0.524077 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 113.75 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 113.65 samples/sec Train-accuracy=0.530308 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.766692 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 113.64 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.747615 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 113.56 samples/sec Train-accuracy=0.516077 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755231 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 113.72 samples/sec Train-accuracy=0.518692 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 113.51 samples/sec Train-accuracy=0.519385 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.757538 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 113.55 samples/sec Train-accuracy=0.524462 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.762769 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 113.56 samples/sec Train-accuracy=0.517000 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.750231 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 113.49 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.755308 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 113.62 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 113.44 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 113.44 samples/sec Train-top_k_accuracy_5=0.755692 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 113.67 samples/sec Train-accuracy=0.529000 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760385 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 113.66 samples/sec Train-accuracy=0.514462 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 113.57 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753538 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 113.53 samples/sec Train-accuracy=0.517538 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 113.65 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.758923 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 113.58 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 113.70 samples/sec Train-accuracy=0.508538 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 113.67 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.762385 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 113.47 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.758308 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 113.71 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.754769 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 113.45 samples/sec Train-accuracy=0.516615 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.753692 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 113.66 samples/sec Train-accuracy=0.516923 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.751923 | |
| INFO:root:Epoch[51] Resetting Data Iterator | |
| INFO:root:Epoch[51] Time cost=11283.831 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0052.params" | |
| INFO:root:Epoch[51] Validation-accuracy=0.588760 | |
| INFO:root:Epoch[51] Validation-top_k_accuracy_5=0.831546 | |
| INFO:root:Epoch[52] Batch [50] Speed: 115.99 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[52] Batch [50] Speed: 115.99 samples/sec Train-top_k_accuracy_5=0.763154 | |
| INFO:root:Epoch[52] Batch [100] Speed: 113.63 samples/sec Train-accuracy=0.517231 | |
| INFO:root:Epoch[52] Batch [100] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.763231 | |
| INFO:root:Epoch[52] Batch [150] Speed: 113.54 samples/sec Train-accuracy=0.510462 | |
| INFO:root:Epoch[52] Batch [150] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.754308 | |
| INFO:root:Epoch[52] Batch [200] Speed: 113.52 samples/sec Train-accuracy=0.516154 | |
| INFO:root:Epoch[52] Batch [200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.762462 | |
| INFO:root:Epoch[52] Batch [250] Speed: 113.45 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[52] Batch [250] Speed: 113.45 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[52] Batch [300] Speed: 113.36 samples/sec Train-accuracy=0.514000 | |
| INFO:root:Epoch[52] Batch [300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[52] Batch [350] Speed: 113.64 samples/sec Train-accuracy=0.526385 | |
| INFO:root:Epoch[52] Batch [350] Speed: 113.64 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[52] Batch [400] Speed: 113.67 samples/sec Train-accuracy=0.520923 | |
| INFO:root:Epoch[52] Batch [400] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760308 | |
| INFO:root:Epoch[52] Batch [450] Speed: 113.26 samples/sec Train-accuracy=0.519923 | |
| INFO:root:Epoch[52] Batch [450] Speed: 113.26 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[52] Batch [500] Speed: 113.56 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[52] Batch [500] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[52] Batch [550] Speed: 113.65 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[52] Batch [550] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.759308 | |
| INFO:root:Epoch[52] Batch [600] Speed: 113.58 samples/sec Train-accuracy=0.510077 | |
| INFO:root:Epoch[52] Batch [600] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.751154 | |
| INFO:root:Epoch[52] Batch [650] Speed: 113.46 samples/sec Train-accuracy=0.515538 | |
| INFO:root:Epoch[52] Batch [650] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[52] Batch [700] Speed: 113.69 samples/sec Train-accuracy=0.518615 | |
| INFO:root:Epoch[52] Batch [700] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[52] Batch [750] Speed: 113.52 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[52] Batch [750] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[52] Batch [800] Speed: 113.58 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[52] Batch [800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[52] Batch [850] Speed: 113.57 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[52] Batch [850] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[52] Batch [900] Speed: 113.62 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[52] Batch [900] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.752692 | |
| INFO:root:Epoch[52] Batch [950] Speed: 113.47 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[52] Batch [950] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.753231 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 113.58 samples/sec Train-accuracy=0.513000 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.752000 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 113.63 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.762385 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 113.55 samples/sec Train-accuracy=0.523462 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.759154 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 113.60 samples/sec Train-accuracy=0.519154 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.760231 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 113.62 samples/sec Train-accuracy=0.522000 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.758000 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 113.54 samples/sec Train-accuracy=0.522692 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 113.54 samples/sec Train-top_k_accuracy_5=0.759692 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 113.36 samples/sec Train-accuracy=0.515231 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 113.36 samples/sec Train-top_k_accuracy_5=0.753462 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 113.61 samples/sec Train-accuracy=0.514615 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.749615 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 113.51 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 113.39 samples/sec Train-accuracy=0.520077 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.758538 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 113.62 samples/sec Train-accuracy=0.525462 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757846 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 113.49 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.758385 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 113.55 samples/sec Train-accuracy=0.523615 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.751846 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 113.58 samples/sec Train-accuracy=0.517308 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755154 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 113.41 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 113.41 samples/sec Train-top_k_accuracy_5=0.756231 | |
| INFO:root:Epoch[52] Batch [1750] Speed: 113.59 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[52] Batch [1750] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[52] Batch [1800] Speed: 113.39 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[52] Batch [1800] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.758462 | |
| INFO:root:Epoch[52] Batch [1850] Speed: 113.51 samples/sec Train-accuracy=0.526615 | |
| INFO:root:Epoch[52] Batch [1850] Speed: 113.51 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[52] Batch [1900] Speed: 113.35 samples/sec Train-accuracy=0.519846 | |
| INFO:root:Epoch[52] Batch [1900] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.751538 | |
| INFO:root:Epoch[52] Batch [1950] Speed: 113.55 samples/sec Train-accuracy=0.526923 | |
| INFO:root:Epoch[52] Batch [1950] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[52] Batch [2000] Speed: 113.52 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[52] Batch [2000] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[52] Batch [2050] Speed: 113.60 samples/sec Train-accuracy=0.521000 | |
| INFO:root:Epoch[52] Batch [2050] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[52] Batch [2100] Speed: 113.60 samples/sec Train-accuracy=0.522462 | |
| INFO:root:Epoch[52] Batch [2100] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.762231 | |
| INFO:root:Epoch[52] Batch [2150] Speed: 113.76 samples/sec Train-accuracy=0.523615 | |
| INFO:root:Epoch[52] Batch [2150] Speed: 113.76 samples/sec Train-top_k_accuracy_5=0.764462 | |
| INFO:root:Epoch[52] Batch [2200] Speed: 113.52 samples/sec Train-accuracy=0.521615 | |
| INFO:root:Epoch[52] Batch [2200] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[52] Batch [2250] Speed: 113.62 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[52] Batch [2250] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[52] Batch [2300] Speed: 113.65 samples/sec Train-accuracy=0.516846 | |
| INFO:root:Epoch[52] Batch [2300] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.759385 | |
| INFO:root:Epoch[52] Batch [2350] Speed: 113.67 samples/sec Train-accuracy=0.519615 | |
| INFO:root:Epoch[52] Batch [2350] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[52] Batch [2400] Speed: 113.52 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[52] Batch [2400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[52] Batch [2450] Speed: 113.53 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[52] Batch [2450] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757692 | |
| INFO:root:Epoch[52] Batch [2500] Speed: 113.67 samples/sec Train-accuracy=0.520769 | |
| INFO:root:Epoch[52] Batch [2500] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760154 | |
| INFO:root:Epoch[52] Batch [2550] Speed: 113.77 samples/sec Train-accuracy=0.511077 | |
| INFO:root:Epoch[52] Batch [2550] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.754923 | |
| INFO:root:Epoch[52] Batch [2600] Speed: 113.48 samples/sec Train-accuracy=0.525000 | |
| INFO:root:Epoch[52] Batch [2600] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[52] Batch [2650] Speed: 113.48 samples/sec Train-accuracy=0.518538 | |
| INFO:root:Epoch[52] Batch [2650] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.758692 | |
| INFO:root:Epoch[52] Batch [2700] Speed: 113.46 samples/sec Train-accuracy=0.522769 | |
| INFO:root:Epoch[52] Batch [2700] Speed: 113.46 samples/sec Train-top_k_accuracy_5=0.762923 | |
| INFO:root:Epoch[52] Batch [2750] Speed: 113.68 samples/sec Train-accuracy=0.521538 | |
| INFO:root:Epoch[52] Batch [2750] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[52] Batch [2800] Speed: 113.58 samples/sec Train-accuracy=0.510308 | |
| INFO:root:Epoch[52] Batch [2800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.748923 | |
| INFO:root:Epoch[52] Batch [2850] Speed: 113.66 samples/sec Train-accuracy=0.513538 | |
| INFO:root:Epoch[52] Batch [2850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.754077 | |
| INFO:root:Epoch[52] Batch [2900] Speed: 113.72 samples/sec Train-accuracy=0.520538 | |
| INFO:root:Epoch[52] Batch [2900] Speed: 113.72 samples/sec Train-top_k_accuracy_5=0.764615 | |
| INFO:root:Epoch[52] Batch [2950] Speed: 113.60 samples/sec Train-accuracy=0.520000 | |
| INFO:root:Epoch[52] Batch [2950] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[52] Batch [3000] Speed: 113.48 samples/sec Train-accuracy=0.521846 | |
| INFO:root:Epoch[52] Batch [3000] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.760462 | |
| INFO:root:Epoch[52] Batch [3050] Speed: 113.61 samples/sec Train-accuracy=0.523769 | |
| INFO:root:Epoch[52] Batch [3050] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.761769 | |
| INFO:root:Epoch[52] Batch [3100] Speed: 113.69 samples/sec Train-accuracy=0.509538 | |
| INFO:root:Epoch[52] Batch [3100] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.754462 | |
| INFO:root:Epoch[52] Batch [3150] Speed: 113.48 samples/sec Train-accuracy=0.523154 | |
| INFO:root:Epoch[52] Batch [3150] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.756462 | |
| INFO:root:Epoch[52] Batch [3200] Speed: 113.62 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[52] Batch [3200] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.754538 | |
| INFO:root:Epoch[52] Batch [3250] Speed: 113.70 samples/sec Train-accuracy=0.522000 | |
| INFO:root:Epoch[52] Batch [3250] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.760000 | |
| INFO:root:Epoch[52] Batch [3300] Speed: 113.58 samples/sec Train-accuracy=0.515462 | |
| INFO:root:Epoch[52] Batch [3300] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[52] Batch [3350] Speed: 113.63 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[52] Batch [3350] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.761462 | |
| INFO:root:Epoch[52] Batch [3400] Speed: 113.60 samples/sec Train-accuracy=0.513385 | |
| INFO:root:Epoch[52] Batch [3400] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757615 | |
| INFO:root:Epoch[52] Batch [3450] Speed: 113.60 samples/sec Train-accuracy=0.521308 | |
| INFO:root:Epoch[52] Batch [3450] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757077 | |
| INFO:root:Epoch[52] Batch [3500] Speed: 113.70 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[52] Batch [3500] Speed: 113.70 samples/sec Train-top_k_accuracy_5=0.763538 | |
| INFO:root:Epoch[52] Batch [3550] Speed: 113.78 samples/sec Train-accuracy=0.525385 | |
| INFO:root:Epoch[52] Batch [3550] Speed: 113.78 samples/sec Train-top_k_accuracy_5=0.766000 | |
| INFO:root:Epoch[52] Batch [3600] Speed: 113.57 samples/sec Train-accuracy=0.522077 | |
| INFO:root:Epoch[52] Batch [3600] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.766385 | |
| INFO:root:Epoch[52] Batch [3650] Speed: 113.58 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[52] Batch [3650] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[52] Batch [3700] Speed: 113.60 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[52] Batch [3700] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[52] Batch [3750] Speed: 113.55 samples/sec Train-accuracy=0.514769 | |
| INFO:root:Epoch[52] Batch [3750] Speed: 113.55 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[52] Batch [3800] Speed: 113.58 samples/sec Train-accuracy=0.515308 | |
| INFO:root:Epoch[52] Batch [3800] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.755846 | |
| INFO:root:Epoch[52] Batch [3850] Speed: 113.66 samples/sec Train-accuracy=0.525231 | |
| INFO:root:Epoch[52] Batch [3850] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.761615 | |
| INFO:root:Epoch[52] Batch [3900] Speed: 113.59 samples/sec Train-accuracy=0.513769 | |
| INFO:root:Epoch[52] Batch [3900] Speed: 113.59 samples/sec Train-top_k_accuracy_5=0.752077 | |
| INFO:root:Epoch[52] Batch [3950] Speed: 113.67 samples/sec Train-accuracy=0.517385 | |
| INFO:root:Epoch[52] Batch [3950] Speed: 113.67 samples/sec Train-top_k_accuracy_5=0.760923 | |
| INFO:root:Epoch[52] Batch [4000] Speed: 113.61 samples/sec Train-accuracy=0.524000 | |
| INFO:root:Epoch[52] Batch [4000] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.761692 | |
| INFO:root:Epoch[52] Batch [4050] Speed: 113.71 samples/sec Train-accuracy=0.521231 | |
| INFO:root:Epoch[52] Batch [4050] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[52] Batch [4100] Speed: 113.52 samples/sec Train-accuracy=0.522385 | |
| INFO:root:Epoch[52] Batch [4100] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.762000 | |
| INFO:root:Epoch[52] Batch [4150] Speed: 113.56 samples/sec Train-accuracy=0.512231 | |
| INFO:root:Epoch[52] Batch [4150] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.746923 | |
| INFO:root:Epoch[52] Batch [4200] Speed: 113.49 samples/sec Train-accuracy=0.516538 | |
| INFO:root:Epoch[52] Batch [4200] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.755385 | |
| INFO:root:Epoch[52] Batch [4250] Speed: 113.35 samples/sec Train-accuracy=0.517923 | |
| INFO:root:Epoch[52] Batch [4250] Speed: 113.35 samples/sec Train-top_k_accuracy_5=0.756692 | |
| INFO:root:Epoch[52] Batch [4300] Speed: 113.66 samples/sec Train-accuracy=0.519231 | |
| INFO:root:Epoch[52] Batch [4300] Speed: 113.66 samples/sec Train-top_k_accuracy_5=0.753385 | |
| INFO:root:Epoch[52] Batch [4350] Speed: 113.47 samples/sec Train-accuracy=0.521923 | |
| INFO:root:Epoch[52] Batch [4350] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.761154 | |
| INFO:root:Epoch[52] Batch [4400] Speed: 113.52 samples/sec Train-accuracy=0.515923 | |
| INFO:root:Epoch[52] Batch [4400] Speed: 113.52 samples/sec Train-top_k_accuracy_5=0.758077 | |
| INFO:root:Epoch[52] Batch [4450] Speed: 113.58 samples/sec Train-accuracy=0.518923 | |
| INFO:root:Epoch[52] Batch [4450] Speed: 113.58 samples/sec Train-top_k_accuracy_5=0.759615 | |
| INFO:root:Epoch[52] Batch [4500] Speed: 113.60 samples/sec Train-accuracy=0.520308 | |
| INFO:root:Epoch[52] Batch [4500] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.757385 | |
| INFO:root:Epoch[52] Batch [4550] Speed: 113.77 samples/sec Train-accuracy=0.519462 | |
| INFO:root:Epoch[52] Batch [4550] Speed: 113.77 samples/sec Train-top_k_accuracy_5=0.762923 | |
| INFO:root:Epoch[52] Batch [4600] Speed: 113.69 samples/sec Train-accuracy=0.509385 | |
| INFO:root:Epoch[52] Batch [4600] Speed: 113.69 samples/sec Train-top_k_accuracy_5=0.752846 | |
| INFO:root:Epoch[52] Batch [4650] Speed: 113.61 samples/sec Train-accuracy=0.509769 | |
| INFO:root:Epoch[52] Batch [4650] Speed: 113.61 samples/sec Train-top_k_accuracy_5=0.756077 | |
| INFO:root:Epoch[52] Batch [4700] Speed: 113.49 samples/sec Train-accuracy=0.515692 | |
| INFO:root:Epoch[52] Batch [4700] Speed: 113.49 samples/sec Train-top_k_accuracy_5=0.761385 | |
| INFO:root:Epoch[52] Batch [4750] Speed: 113.65 samples/sec Train-accuracy=0.518308 | |
| INFO:root:Epoch[52] Batch [4750] Speed: 113.65 samples/sec Train-top_k_accuracy_5=0.762769 | |
| INFO:root:Epoch[52] Batch [4800] Speed: 113.63 samples/sec Train-accuracy=0.521077 | |
| INFO:root:Epoch[52] Batch [4800] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.756846 | |
| INFO:root:Epoch[52] Batch [4850] Speed: 113.53 samples/sec Train-accuracy=0.520231 | |
| INFO:root:Epoch[52] Batch [4850] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.757154 | |
| INFO:root:Epoch[52] Batch [4900] Speed: 113.53 samples/sec Train-accuracy=0.517077 | |
| INFO:root:Epoch[52] Batch [4900] Speed: 113.53 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[52] Resetting Data Iterator | |
| INFO:root:Epoch[52] Time cost=11278.021 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-152-0-0053.params" | |
| INFO:root:Epoch[52] Validation-accuracy=0.586628 | |
| INFO:root:Epoch[52] Validation-top_k_accuracy_5=0.826544 | |
| INFO:root:Epoch[53] Batch [50] Speed: 115.98 samples/sec Train-accuracy=0.524692 | |
| INFO:root:Epoch[53] Batch [50] Speed: 115.98 samples/sec Train-top_k_accuracy_5=0.762231 | |
| INFO:root:Epoch[53] Batch [100] Speed: 113.62 samples/sec Train-accuracy=0.520462 | |
| INFO:root:Epoch[53] Batch [100] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755615 | |
| INFO:root:Epoch[53] Batch [150] Speed: 113.60 samples/sec Train-accuracy=0.522692 | |
| INFO:root:Epoch[53] Batch [150] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.756308 | |
| INFO:root:Epoch[53] Batch [200] Speed: 113.39 samples/sec Train-accuracy=0.525846 | |
| INFO:root:Epoch[53] Batch [200] Speed: 113.39 samples/sec Train-top_k_accuracy_5=0.762077 | |
| INFO:root:Epoch[53] Batch [250] Speed: 113.48 samples/sec Train-accuracy=0.522154 | |
| INFO:root:Epoch[53] Batch [250] Speed: 113.48 samples/sec Train-top_k_accuracy_5=0.753923 | |
| INFO:root:Epoch[53] Batch [300] Speed: 113.62 samples/sec Train-accuracy=0.517846 | |
| INFO:root:Epoch[53] Batch [300] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.756923 | |
| INFO:root:Epoch[53] Batch [350] Speed: 113.57 samples/sec Train-accuracy=0.519000 | |
| INFO:root:Epoch[53] Batch [350] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.758154 | |
| INFO:root:Epoch[53] Batch [400] Speed: 113.71 samples/sec Train-accuracy=0.519692 | |
| INFO:root:Epoch[53] Batch [400] Speed: 113.71 samples/sec Train-top_k_accuracy_5=0.759231 | |
| INFO:root:Epoch[53] Batch [450] Speed: 113.62 samples/sec Train-accuracy=0.518385 | |
| INFO:root:Epoch[53] Batch [450] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.757462 | |
| INFO:root:Epoch[53] Batch [500] Speed: 113.57 samples/sec Train-accuracy=0.511231 | |
| INFO:root:Epoch[53] Batch [500] Speed: 113.57 samples/sec Train-top_k_accuracy_5=0.753077 | |
| INFO:root:Epoch[53] Batch [550] Speed: 113.56 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[53] Batch [550] Speed: 113.56 samples/sec Train-top_k_accuracy_5=0.757000 | |
| INFO:root:Epoch[53] Batch [600] Speed: 113.60 samples/sec Train-accuracy=0.508308 | |
| INFO:root:Epoch[53] Batch [600] Speed: 113.60 samples/sec Train-top_k_accuracy_5=0.752308 | |
| INFO:root:Epoch[53] Batch [650] Speed: 113.74 samples/sec Train-accuracy=0.514231 | |
| INFO:root:Epoch[53] Batch [650] Speed: 113.74 samples/sec Train-top_k_accuracy_5=0.753154 | |
| INFO:root:Epoch[53] Batch [700] Speed: 113.43 samples/sec Train-accuracy=0.520769 | |
| INFO:root:Epoch[53] Batch [700] Speed: 113.43 samples/sec Train-top_k_accuracy_5=0.757769 | |
| INFO:root:Epoch[53] Batch [750] Speed: 113.63 samples/sec Train-accuracy=0.517462 | |
| INFO:root:Epoch[53] Batch [750] Speed: 113.63 samples/sec Train-top_k_accuracy_5=0.760769 | |
| INFO:root:Epoch[53] Batch [800] Speed: 113.68 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[53] Batch [800] Speed: 113.68 samples/sec Train-top_k_accuracy_5=0.752923 | |
| INFO:root:Epoch[53] Batch [850] Speed: 113.47 samples/sec Train-accuracy=0.519077 | |
| INFO:root:Epoch[53] Batch [850] Speed: 113.47 samples/sec Train-top_k_accuracy_5=0.760615 | |
| INFO:root:Epoch[53] Batch [900] Speed: 113.82 samples/sec Train-accuracy=0.515846 | |
| INFO:root:Epoch[53] Batch [900] Speed: 113.82 samples/sec Train-top_k_accuracy_5=0.752462 | |
| INFO:root:Epoch[53] Batch [950] Speed: 113.62 samples/sec Train-accuracy=0.516231 | |
| INFO:root:Epoch[53] Batch [950] Speed: 113.62 samples/sec Train-top_k_accuracy_5=0.755462 | |
| INFO:root:Epoch[53] Batch [1000] Speed: 113.61 samples/sec Train-accuracy=0.517692 | |
| INFO:root:Epoch[53] Batch [1000] Speed: 113.61 samples/sec Train-t |
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