Created
December 17, 2016 01:13
-
-
Save terrychenism/689db43abd0c21c365d26b7e17023e38 to your computer and use it in GitHub Desktop.
This file has been truncated, but you can view the full file.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| INFO:root:Namespace(aug_level=2, batch_size=256, bn_mom=0.9, data_dir='/H1/tairuic/ResNet/data/imagenet', data_type='imagenet', depth=50, frequent=50, gpus='4,5,6,7', kv_store='device', list_dir='./', lr=0.1, memonger=False, model_load_epoch=0, mom=0.9, num_classes=1000, num_examples=1281167, retrain=False, wd=0.0001, workspace=512) | |
| [23:43:58] src/io/iter_image_recordio.cc:219: ImageRecordIOParser: /H1/tairuic/ResNet/data/imagenet/train_480_q90.rec, use 4 threads for decoding.. | |
| [23:43:59] src/io/iter_image_recordio.cc:219: ImageRecordIOParser: /H1/tairuic/ResNet/data/imagenet/val_256_q90.rec, use 4 threads for decoding.. | |
| INFO:root:Start training with [gpu(4), gpu(5), gpu(6), gpu(7)] | |
| INFO:root:Epoch[0] Batch [50] Speed: 294.88 samples/sec Train-accuracy=0.001016 | |
| INFO:root:Epoch[0] Batch [50] Speed: 294.88 samples/sec Train-top_k_accuracy_5=0.006094 | |
| INFO:root:Epoch[0] Batch [100] Speed: 283.82 samples/sec Train-accuracy=0.000859 | |
| INFO:root:Epoch[0] Batch [100] Speed: 283.82 samples/sec Train-top_k_accuracy_5=0.004766 | |
| INFO:root:Epoch[0] Batch [150] Speed: 283.59 samples/sec Train-accuracy=0.000547 | |
| INFO:root:Epoch[0] Batch [150] Speed: 283.59 samples/sec Train-top_k_accuracy_5=0.004844 | |
| INFO:root:Epoch[0] Batch [200] Speed: 283.46 samples/sec Train-accuracy=0.001406 | |
| INFO:root:Epoch[0] Batch [200] Speed: 283.46 samples/sec Train-top_k_accuracy_5=0.005234 | |
| INFO:root:Epoch[0] Batch [250] Speed: 282.92 samples/sec Train-accuracy=0.000859 | |
| INFO:root:Epoch[0] Batch [250] Speed: 282.92 samples/sec Train-top_k_accuracy_5=0.004687 | |
| INFO:root:Epoch[0] Batch [300] Speed: 282.98 samples/sec Train-accuracy=0.000937 | |
| INFO:root:Epoch[0] Batch [300] Speed: 282.98 samples/sec Train-top_k_accuracy_5=0.005547 | |
| INFO:root:Epoch[0] Batch [350] Speed: 282.85 samples/sec Train-accuracy=0.000703 | |
| INFO:root:Epoch[0] Batch [350] Speed: 282.85 samples/sec Train-top_k_accuracy_5=0.004687 | |
| INFO:root:Epoch[0] Batch [400] Speed: 276.02 samples/sec Train-accuracy=0.001250 | |
| INFO:root:Epoch[0] Batch [400] Speed: 276.02 samples/sec Train-top_k_accuracy_5=0.004766 | |
| INFO:root:Epoch[0] Batch [450] Speed: 276.84 samples/sec Train-accuracy=0.001172 | |
| INFO:root:Epoch[0] Batch [450] Speed: 276.84 samples/sec Train-top_k_accuracy_5=0.006172 | |
| INFO:root:Epoch[0] Batch [500] Speed: 278.57 samples/sec Train-accuracy=0.001328 | |
| INFO:root:Epoch[0] Batch [500] Speed: 278.57 samples/sec Train-top_k_accuracy_5=0.005313 | |
| INFO:root:Epoch[0] Batch [550] Speed: 276.34 samples/sec Train-accuracy=0.001172 | |
| INFO:root:Epoch[0] Batch [550] Speed: 276.34 samples/sec Train-top_k_accuracy_5=0.005313 | |
| INFO:root:Epoch[0] Batch [600] Speed: 276.02 samples/sec Train-accuracy=0.000937 | |
| INFO:root:Epoch[0] Batch [600] Speed: 276.02 samples/sec Train-top_k_accuracy_5=0.005469 | |
| INFO:root:Epoch[0] Batch [650] Speed: 275.44 samples/sec Train-accuracy=0.001094 | |
| INFO:root:Epoch[0] Batch [650] Speed: 275.44 samples/sec Train-top_k_accuracy_5=0.005000 | |
| INFO:root:Epoch[0] Batch [700] Speed: 276.46 samples/sec Train-accuracy=0.001641 | |
| INFO:root:Epoch[0] Batch [700] Speed: 276.46 samples/sec Train-top_k_accuracy_5=0.007344 | |
| INFO:root:Epoch[0] Batch [750] Speed: 283.01 samples/sec Train-accuracy=0.001953 | |
| INFO:root:Epoch[0] Batch [750] Speed: 283.01 samples/sec Train-top_k_accuracy_5=0.008438 | |
| INFO:root:Epoch[0] Batch [800] Speed: 281.72 samples/sec Train-accuracy=0.001719 | |
| INFO:root:Epoch[0] Batch [800] Speed: 281.72 samples/sec Train-top_k_accuracy_5=0.008750 | |
| INFO:root:Epoch[0] Batch [850] Speed: 277.47 samples/sec Train-accuracy=0.001406 | |
| INFO:root:Epoch[0] Batch [850] Speed: 277.47 samples/sec Train-top_k_accuracy_5=0.008125 | |
| INFO:root:Epoch[0] Batch [900] Speed: 278.55 samples/sec Train-accuracy=0.001797 | |
| INFO:root:Epoch[0] Batch [900] Speed: 278.55 samples/sec Train-top_k_accuracy_5=0.008125 | |
| INFO:root:Epoch[0] Batch [950] Speed: 275.81 samples/sec Train-accuracy=0.002031 | |
| INFO:root:Epoch[0] Batch [950] Speed: 275.81 samples/sec Train-top_k_accuracy_5=0.009297 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 278.67 samples/sec Train-accuracy=0.002656 | |
| INFO:root:Epoch[0] Batch [1000] Speed: 278.67 samples/sec Train-top_k_accuracy_5=0.011406 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 280.23 samples/sec Train-accuracy=0.002578 | |
| INFO:root:Epoch[0] Batch [1050] Speed: 280.23 samples/sec Train-top_k_accuracy_5=0.011016 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 279.69 samples/sec Train-accuracy=0.002578 | |
| INFO:root:Epoch[0] Batch [1100] Speed: 279.69 samples/sec Train-top_k_accuracy_5=0.012656 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 278.19 samples/sec Train-accuracy=0.002422 | |
| INFO:root:Epoch[0] Batch [1150] Speed: 278.19 samples/sec Train-top_k_accuracy_5=0.012031 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 279.15 samples/sec Train-accuracy=0.002188 | |
| INFO:root:Epoch[0] Batch [1200] Speed: 279.15 samples/sec Train-top_k_accuracy_5=0.012656 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 257.27 samples/sec Train-accuracy=0.003594 | |
| INFO:root:Epoch[0] Batch [1250] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.014687 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 264.81 samples/sec Train-accuracy=0.004609 | |
| INFO:root:Epoch[0] Batch [1300] Speed: 264.81 samples/sec Train-top_k_accuracy_5=0.017266 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 273.58 samples/sec Train-accuracy=0.004219 | |
| INFO:root:Epoch[0] Batch [1350] Speed: 273.58 samples/sec Train-top_k_accuracy_5=0.018437 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 268.95 samples/sec Train-accuracy=0.004766 | |
| INFO:root:Epoch[0] Batch [1400] Speed: 268.95 samples/sec Train-top_k_accuracy_5=0.020156 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 270.72 samples/sec Train-accuracy=0.003672 | |
| INFO:root:Epoch[0] Batch [1450] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.022187 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 274.87 samples/sec Train-accuracy=0.004063 | |
| INFO:root:Epoch[0] Batch [1500] Speed: 274.87 samples/sec Train-top_k_accuracy_5=0.022500 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 274.73 samples/sec Train-accuracy=0.005078 | |
| INFO:root:Epoch[0] Batch [1550] Speed: 274.73 samples/sec Train-top_k_accuracy_5=0.021406 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 265.88 samples/sec Train-accuracy=0.006406 | |
| INFO:root:Epoch[0] Batch [1600] Speed: 265.88 samples/sec Train-top_k_accuracy_5=0.024063 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 267.12 samples/sec Train-accuracy=0.005156 | |
| INFO:root:Epoch[0] Batch [1650] Speed: 267.12 samples/sec Train-top_k_accuracy_5=0.025781 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 259.34 samples/sec Train-accuracy=0.006875 | |
| INFO:root:Epoch[0] Batch [1700] Speed: 259.34 samples/sec Train-top_k_accuracy_5=0.027891 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 269.99 samples/sec Train-accuracy=0.007812 | |
| INFO:root:Epoch[0] Batch [1750] Speed: 269.99 samples/sec Train-top_k_accuracy_5=0.030547 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 254.20 samples/sec Train-accuracy=0.006719 | |
| INFO:root:Epoch[0] Batch [1800] Speed: 254.20 samples/sec Train-top_k_accuracy_5=0.032578 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 242.39 samples/sec Train-accuracy=0.009219 | |
| INFO:root:Epoch[0] Batch [1850] Speed: 242.39 samples/sec Train-top_k_accuracy_5=0.034688 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 267.19 samples/sec Train-accuracy=0.008516 | |
| INFO:root:Epoch[0] Batch [1900] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.034844 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 264.89 samples/sec Train-accuracy=0.010234 | |
| INFO:root:Epoch[0] Batch [1950] Speed: 264.89 samples/sec Train-top_k_accuracy_5=0.037891 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 268.01 samples/sec Train-accuracy=0.010313 | |
| INFO:root:Epoch[0] Batch [2000] Speed: 268.01 samples/sec Train-top_k_accuracy_5=0.041172 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 265.61 samples/sec Train-accuracy=0.010234 | |
| INFO:root:Epoch[0] Batch [2050] Speed: 265.61 samples/sec Train-top_k_accuracy_5=0.043984 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 262.43 samples/sec Train-accuracy=0.010703 | |
| INFO:root:Epoch[0] Batch [2100] Speed: 262.43 samples/sec Train-top_k_accuracy_5=0.047344 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 252.32 samples/sec Train-accuracy=0.012812 | |
| INFO:root:Epoch[0] Batch [2150] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.049766 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 260.31 samples/sec Train-accuracy=0.012734 | |
| INFO:root:Epoch[0] Batch [2200] Speed: 260.31 samples/sec Train-top_k_accuracy_5=0.054297 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 258.43 samples/sec Train-accuracy=0.014063 | |
| INFO:root:Epoch[0] Batch [2250] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.056250 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 262.84 samples/sec Train-accuracy=0.014687 | |
| INFO:root:Epoch[0] Batch [2300] Speed: 262.84 samples/sec Train-top_k_accuracy_5=0.055469 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 259.68 samples/sec Train-accuracy=0.018203 | |
| INFO:root:Epoch[0] Batch [2350] Speed: 259.68 samples/sec Train-top_k_accuracy_5=0.063516 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 257.99 samples/sec Train-accuracy=0.017891 | |
| INFO:root:Epoch[0] Batch [2400] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.066250 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 275.91 samples/sec Train-accuracy=0.017891 | |
| INFO:root:Epoch[0] Batch [2450] Speed: 275.91 samples/sec Train-top_k_accuracy_5=0.067891 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 261.78 samples/sec Train-accuracy=0.017812 | |
| INFO:root:Epoch[0] Batch [2500] Speed: 261.78 samples/sec Train-top_k_accuracy_5=0.072109 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 269.41 samples/sec Train-accuracy=0.020703 | |
| INFO:root:Epoch[0] Batch [2550] Speed: 269.41 samples/sec Train-top_k_accuracy_5=0.073203 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 274.00 samples/sec Train-accuracy=0.020625 | |
| INFO:root:Epoch[0] Batch [2600] Speed: 274.00 samples/sec Train-top_k_accuracy_5=0.077344 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 271.34 samples/sec Train-accuracy=0.021016 | |
| INFO:root:Epoch[0] Batch [2650] Speed: 271.34 samples/sec Train-top_k_accuracy_5=0.082109 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 271.02 samples/sec Train-accuracy=0.023203 | |
| INFO:root:Epoch[0] Batch [2700] Speed: 271.02 samples/sec Train-top_k_accuracy_5=0.081719 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 267.95 samples/sec Train-accuracy=0.023125 | |
| INFO:root:Epoch[0] Batch [2750] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.085391 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 273.36 samples/sec Train-accuracy=0.024531 | |
| INFO:root:Epoch[0] Batch [2800] Speed: 273.36 samples/sec Train-top_k_accuracy_5=0.094062 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 271.29 samples/sec Train-accuracy=0.025000 | |
| INFO:root:Epoch[0] Batch [2850] Speed: 271.29 samples/sec Train-top_k_accuracy_5=0.086875 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 277.37 samples/sec Train-accuracy=0.027344 | |
| INFO:root:Epoch[0] Batch [2900] Speed: 277.37 samples/sec Train-top_k_accuracy_5=0.096797 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 264.03 samples/sec Train-accuracy=0.028438 | |
| INFO:root:Epoch[0] Batch [2950] Speed: 264.03 samples/sec Train-top_k_accuracy_5=0.103594 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 269.91 samples/sec Train-accuracy=0.028203 | |
| INFO:root:Epoch[0] Batch [3000] Speed: 269.91 samples/sec Train-top_k_accuracy_5=0.099766 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 262.88 samples/sec Train-accuracy=0.032969 | |
| INFO:root:Epoch[0] Batch [3050] Speed: 262.88 samples/sec Train-top_k_accuracy_5=0.104063 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 259.50 samples/sec Train-accuracy=0.034844 | |
| INFO:root:Epoch[0] Batch [3100] Speed: 259.50 samples/sec Train-top_k_accuracy_5=0.115234 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 261.88 samples/sec Train-accuracy=0.033203 | |
| INFO:root:Epoch[0] Batch [3150] Speed: 261.88 samples/sec Train-top_k_accuracy_5=0.115234 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 267.13 samples/sec Train-accuracy=0.034453 | |
| INFO:root:Epoch[0] Batch [3200] Speed: 267.13 samples/sec Train-top_k_accuracy_5=0.117969 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 266.89 samples/sec Train-accuracy=0.033203 | |
| INFO:root:Epoch[0] Batch [3250] Speed: 266.89 samples/sec Train-top_k_accuracy_5=0.116562 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 269.24 samples/sec Train-accuracy=0.039375 | |
| INFO:root:Epoch[0] Batch [3300] Speed: 269.24 samples/sec Train-top_k_accuracy_5=0.125625 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 266.52 samples/sec Train-accuracy=0.039141 | |
| INFO:root:Epoch[0] Batch [3350] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.125781 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 263.52 samples/sec Train-accuracy=0.040000 | |
| INFO:root:Epoch[0] Batch [3400] Speed: 263.52 samples/sec Train-top_k_accuracy_5=0.127734 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 269.58 samples/sec Train-accuracy=0.036953 | |
| INFO:root:Epoch[0] Batch [3450] Speed: 269.58 samples/sec Train-top_k_accuracy_5=0.131406 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 264.84 samples/sec Train-accuracy=0.044844 | |
| INFO:root:Epoch[0] Batch [3500] Speed: 264.84 samples/sec Train-top_k_accuracy_5=0.139219 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 273.41 samples/sec Train-accuracy=0.046172 | |
| INFO:root:Epoch[0] Batch [3550] Speed: 273.41 samples/sec Train-top_k_accuracy_5=0.144141 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 270.08 samples/sec Train-accuracy=0.047578 | |
| INFO:root:Epoch[0] Batch [3600] Speed: 270.08 samples/sec Train-top_k_accuracy_5=0.148828 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 266.50 samples/sec Train-accuracy=0.047969 | |
| INFO:root:Epoch[0] Batch [3650] Speed: 266.50 samples/sec Train-top_k_accuracy_5=0.149141 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 267.33 samples/sec Train-accuracy=0.049844 | |
| INFO:root:Epoch[0] Batch [3700] Speed: 267.33 samples/sec Train-top_k_accuracy_5=0.154766 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 271.14 samples/sec Train-accuracy=0.049453 | |
| INFO:root:Epoch[0] Batch [3750] Speed: 271.14 samples/sec Train-top_k_accuracy_5=0.149688 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 269.03 samples/sec Train-accuracy=0.049375 | |
| INFO:root:Epoch[0] Batch [3800] Speed: 269.03 samples/sec Train-top_k_accuracy_5=0.146875 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 270.98 samples/sec Train-accuracy=0.051641 | |
| INFO:root:Epoch[0] Batch [3850] Speed: 270.98 samples/sec Train-top_k_accuracy_5=0.162344 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 252.73 samples/sec Train-accuracy=0.059297 | |
| INFO:root:Epoch[0] Batch [3900] Speed: 252.73 samples/sec Train-top_k_accuracy_5=0.172500 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 246.44 samples/sec Train-accuracy=0.055781 | |
| INFO:root:Epoch[0] Batch [3950] Speed: 246.44 samples/sec Train-top_k_accuracy_5=0.169375 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 245.88 samples/sec Train-accuracy=0.061641 | |
| INFO:root:Epoch[0] Batch [4000] Speed: 245.88 samples/sec Train-top_k_accuracy_5=0.175547 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 249.82 samples/sec Train-accuracy=0.059375 | |
| INFO:root:Epoch[0] Batch [4050] Speed: 249.82 samples/sec Train-top_k_accuracy_5=0.172031 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 256.31 samples/sec Train-accuracy=0.062422 | |
| INFO:root:Epoch[0] Batch [4100] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.184375 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 260.75 samples/sec Train-accuracy=0.066484 | |
| INFO:root:Epoch[0] Batch [4150] Speed: 260.75 samples/sec Train-top_k_accuracy_5=0.188672 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 266.85 samples/sec Train-accuracy=0.064531 | |
| INFO:root:Epoch[0] Batch [4200] Speed: 266.85 samples/sec Train-top_k_accuracy_5=0.188359 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 266.64 samples/sec Train-accuracy=0.071563 | |
| INFO:root:Epoch[0] Batch [4250] Speed: 266.64 samples/sec Train-top_k_accuracy_5=0.195547 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 247.23 samples/sec Train-accuracy=0.070156 | |
| INFO:root:Epoch[0] Batch [4300] Speed: 247.23 samples/sec Train-top_k_accuracy_5=0.204297 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 236.67 samples/sec Train-accuracy=0.075156 | |
| INFO:root:Epoch[0] Batch [4350] Speed: 236.67 samples/sec Train-top_k_accuracy_5=0.206953 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 252.93 samples/sec Train-accuracy=0.075156 | |
| INFO:root:Epoch[0] Batch [4400] Speed: 252.93 samples/sec Train-top_k_accuracy_5=0.207500 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 262.89 samples/sec Train-accuracy=0.071328 | |
| INFO:root:Epoch[0] Batch [4450] Speed: 262.89 samples/sec Train-top_k_accuracy_5=0.207891 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 252.70 samples/sec Train-accuracy=0.077969 | |
| INFO:root:Epoch[0] Batch [4500] Speed: 252.70 samples/sec Train-top_k_accuracy_5=0.210078 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 253.72 samples/sec Train-accuracy=0.079297 | |
| INFO:root:Epoch[0] Batch [4550] Speed: 253.72 samples/sec Train-top_k_accuracy_5=0.213516 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 242.63 samples/sec Train-accuracy=0.078984 | |
| INFO:root:Epoch[0] Batch [4600] Speed: 242.63 samples/sec Train-top_k_accuracy_5=0.221641 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 239.91 samples/sec Train-accuracy=0.082734 | |
| INFO:root:Epoch[0] Batch [4650] Speed: 239.91 samples/sec Train-top_k_accuracy_5=0.221406 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 261.52 samples/sec Train-accuracy=0.082891 | |
| INFO:root:Epoch[0] Batch [4700] Speed: 261.52 samples/sec Train-top_k_accuracy_5=0.229219 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 256.36 samples/sec Train-accuracy=0.086953 | |
| INFO:root:Epoch[0] Batch [4750] Speed: 256.36 samples/sec Train-top_k_accuracy_5=0.229766 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 257.21 samples/sec Train-accuracy=0.088750 | |
| INFO:root:Epoch[0] Batch [4800] Speed: 257.21 samples/sec Train-top_k_accuracy_5=0.228516 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 245.38 samples/sec Train-accuracy=0.093047 | |
| INFO:root:Epoch[0] Batch [4850] Speed: 245.38 samples/sec Train-top_k_accuracy_5=0.242500 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 264.27 samples/sec Train-accuracy=0.094062 | |
| INFO:root:Epoch[0] Batch [4900] Speed: 264.27 samples/sec Train-top_k_accuracy_5=0.249609 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 255.34 samples/sec Train-accuracy=0.098516 | |
| INFO:root:Epoch[0] Batch [4950] Speed: 255.34 samples/sec Train-top_k_accuracy_5=0.247500 | |
| INFO:root:Epoch[0] Batch [5000] Speed: 254.97 samples/sec Train-accuracy=0.097187 | |
| INFO:root:Epoch[0] Batch [5000] Speed: 254.97 samples/sec Train-top_k_accuracy_5=0.254297 | |
| INFO:root:Epoch[0] Resetting Data Iterator | |
| INFO:root:Epoch[0] Time cost=4817.250 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0001.params" | |
| INFO:root:Epoch[0] Validation-accuracy=0.097656 | |
| INFO:root:Epoch[0] Validation-top_k_accuracy_5=0.263672 | |
| INFO:root:Epoch[1] Batch [50] Speed: 282.80 samples/sec Train-accuracy=0.101719 | |
| INFO:root:Epoch[1] Batch [50] Speed: 282.80 samples/sec Train-top_k_accuracy_5=0.256641 | |
| INFO:root:Epoch[1] Batch [100] Speed: 276.49 samples/sec Train-accuracy=0.097109 | |
| INFO:root:Epoch[1] Batch [100] Speed: 276.49 samples/sec Train-top_k_accuracy_5=0.259297 | |
| INFO:root:Epoch[1] Batch [150] Speed: 277.07 samples/sec Train-accuracy=0.097734 | |
| INFO:root:Epoch[1] Batch [150] Speed: 277.07 samples/sec Train-top_k_accuracy_5=0.260625 | |
| INFO:root:Epoch[1] Batch [200] Speed: 278.05 samples/sec Train-accuracy=0.099375 | |
| INFO:root:Epoch[1] Batch [200] Speed: 278.05 samples/sec Train-top_k_accuracy_5=0.264609 | |
| INFO:root:Epoch[1] Batch [250] Speed: 276.48 samples/sec Train-accuracy=0.102656 | |
| INFO:root:Epoch[1] Batch [250] Speed: 276.48 samples/sec Train-top_k_accuracy_5=0.269766 | |
| INFO:root:Epoch[1] Batch [300] Speed: 277.47 samples/sec Train-accuracy=0.106094 | |
| INFO:root:Epoch[1] Batch [300] Speed: 277.47 samples/sec Train-top_k_accuracy_5=0.264297 | |
| INFO:root:Epoch[1] Batch [350] Speed: 276.76 samples/sec Train-accuracy=0.106172 | |
| INFO:root:Epoch[1] Batch [350] Speed: 276.76 samples/sec Train-top_k_accuracy_5=0.269766 | |
| INFO:root:Epoch[1] Batch [400] Speed: 276.75 samples/sec Train-accuracy=0.111719 | |
| INFO:root:Epoch[1] Batch [400] Speed: 276.75 samples/sec Train-top_k_accuracy_5=0.280078 | |
| INFO:root:Epoch[1] Batch [450] Speed: 270.46 samples/sec Train-accuracy=0.113125 | |
| INFO:root:Epoch[1] Batch [450] Speed: 270.46 samples/sec Train-top_k_accuracy_5=0.281953 | |
| INFO:root:Epoch[1] Batch [500] Speed: 259.52 samples/sec Train-accuracy=0.118047 | |
| INFO:root:Epoch[1] Batch [500] Speed: 259.52 samples/sec Train-top_k_accuracy_5=0.290391 | |
| INFO:root:Epoch[1] Batch [550] Speed: 254.15 samples/sec Train-accuracy=0.112266 | |
| INFO:root:Epoch[1] Batch [550] Speed: 254.15 samples/sec Train-top_k_accuracy_5=0.286484 | |
| INFO:root:Epoch[1] Batch [600] Speed: 258.47 samples/sec Train-accuracy=0.116016 | |
| INFO:root:Epoch[1] Batch [600] Speed: 258.47 samples/sec Train-top_k_accuracy_5=0.291484 | |
| INFO:root:Epoch[1] Batch [650] Speed: 257.67 samples/sec Train-accuracy=0.117266 | |
| INFO:root:Epoch[1] Batch [650] Speed: 257.67 samples/sec Train-top_k_accuracy_5=0.297344 | |
| INFO:root:Epoch[1] Batch [700] Speed: 268.48 samples/sec Train-accuracy=0.119844 | |
| INFO:root:Epoch[1] Batch [700] Speed: 268.48 samples/sec Train-top_k_accuracy_5=0.292812 | |
| INFO:root:Epoch[1] Batch [750] Speed: 264.45 samples/sec Train-accuracy=0.128125 | |
| INFO:root:Epoch[1] Batch [750] Speed: 264.45 samples/sec Train-top_k_accuracy_5=0.304375 | |
| INFO:root:Epoch[1] Batch [800] Speed: 262.60 samples/sec Train-accuracy=0.126172 | |
| INFO:root:Epoch[1] Batch [800] Speed: 262.60 samples/sec Train-top_k_accuracy_5=0.307031 | |
| INFO:root:Epoch[1] Batch [850] Speed: 248.21 samples/sec Train-accuracy=0.124453 | |
| INFO:root:Epoch[1] Batch [850] Speed: 248.21 samples/sec Train-top_k_accuracy_5=0.308047 | |
| INFO:root:Epoch[1] Batch [900] Speed: 261.23 samples/sec Train-accuracy=0.130781 | |
| INFO:root:Epoch[1] Batch [900] Speed: 261.23 samples/sec Train-top_k_accuracy_5=0.317188 | |
| INFO:root:Epoch[1] Batch [950] Speed: 261.96 samples/sec Train-accuracy=0.128672 | |
| INFO:root:Epoch[1] Batch [950] Speed: 261.96 samples/sec Train-top_k_accuracy_5=0.309844 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 260.93 samples/sec Train-accuracy=0.130000 | |
| INFO:root:Epoch[1] Batch [1000] Speed: 260.93 samples/sec Train-top_k_accuracy_5=0.311953 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 259.20 samples/sec Train-accuracy=0.136016 | |
| INFO:root:Epoch[1] Batch [1050] Speed: 259.20 samples/sec Train-top_k_accuracy_5=0.321094 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 256.32 samples/sec Train-accuracy=0.140156 | |
| INFO:root:Epoch[1] Batch [1100] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.325625 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 260.30 samples/sec Train-accuracy=0.140078 | |
| INFO:root:Epoch[1] Batch [1150] Speed: 260.30 samples/sec Train-top_k_accuracy_5=0.328203 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 257.35 samples/sec Train-accuracy=0.138516 | |
| INFO:root:Epoch[1] Batch [1200] Speed: 257.35 samples/sec Train-top_k_accuracy_5=0.329922 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 257.44 samples/sec Train-accuracy=0.137813 | |
| INFO:root:Epoch[1] Batch [1250] Speed: 257.44 samples/sec Train-top_k_accuracy_5=0.322109 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 267.46 samples/sec Train-accuracy=0.143672 | |
| INFO:root:Epoch[1] Batch [1300] Speed: 267.46 samples/sec Train-top_k_accuracy_5=0.331328 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 261.47 samples/sec Train-accuracy=0.142109 | |
| INFO:root:Epoch[1] Batch [1350] Speed: 261.47 samples/sec Train-top_k_accuracy_5=0.333203 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 254.67 samples/sec Train-accuracy=0.149922 | |
| INFO:root:Epoch[1] Batch [1400] Speed: 254.67 samples/sec Train-top_k_accuracy_5=0.341641 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 272.55 samples/sec Train-accuracy=0.153750 | |
| INFO:root:Epoch[1] Batch [1450] Speed: 272.55 samples/sec Train-top_k_accuracy_5=0.351719 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 266.25 samples/sec Train-accuracy=0.147187 | |
| INFO:root:Epoch[1] Batch [1500] Speed: 266.25 samples/sec Train-top_k_accuracy_5=0.350391 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 257.66 samples/sec Train-accuracy=0.149141 | |
| INFO:root:Epoch[1] Batch [1550] Speed: 257.66 samples/sec Train-top_k_accuracy_5=0.347734 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 268.87 samples/sec Train-accuracy=0.148594 | |
| INFO:root:Epoch[1] Batch [1600] Speed: 268.87 samples/sec Train-top_k_accuracy_5=0.345000 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 273.34 samples/sec Train-accuracy=0.161953 | |
| INFO:root:Epoch[1] Batch [1650] Speed: 273.34 samples/sec Train-top_k_accuracy_5=0.362266 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 266.69 samples/sec Train-accuracy=0.155781 | |
| INFO:root:Epoch[1] Batch [1700] Speed: 266.69 samples/sec Train-top_k_accuracy_5=0.347109 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 268.27 samples/sec Train-accuracy=0.156250 | |
| INFO:root:Epoch[1] Batch [1750] Speed: 268.27 samples/sec Train-top_k_accuracy_5=0.357812 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 267.00 samples/sec Train-accuracy=0.158594 | |
| INFO:root:Epoch[1] Batch [1800] Speed: 267.00 samples/sec Train-top_k_accuracy_5=0.359141 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 267.82 samples/sec Train-accuracy=0.163594 | |
| INFO:root:Epoch[1] Batch [1850] Speed: 267.82 samples/sec Train-top_k_accuracy_5=0.365938 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 273.92 samples/sec Train-accuracy=0.159688 | |
| INFO:root:Epoch[1] Batch [1900] Speed: 273.92 samples/sec Train-top_k_accuracy_5=0.360078 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 260.88 samples/sec Train-accuracy=0.166719 | |
| INFO:root:Epoch[1] Batch [1950] Speed: 260.88 samples/sec Train-top_k_accuracy_5=0.365156 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 252.31 samples/sec Train-accuracy=0.162891 | |
| INFO:root:Epoch[1] Batch [2000] Speed: 252.31 samples/sec Train-top_k_accuracy_5=0.362109 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 254.51 samples/sec Train-accuracy=0.165703 | |
| INFO:root:Epoch[1] Batch [2050] Speed: 254.51 samples/sec Train-top_k_accuracy_5=0.372109 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 268.89 samples/sec Train-accuracy=0.168906 | |
| INFO:root:Epoch[1] Batch [2100] Speed: 268.89 samples/sec Train-top_k_accuracy_5=0.380547 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 255.78 samples/sec Train-accuracy=0.173906 | |
| INFO:root:Epoch[1] Batch [2150] Speed: 255.78 samples/sec Train-top_k_accuracy_5=0.379922 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 248.94 samples/sec Train-accuracy=0.172891 | |
| INFO:root:Epoch[1] Batch [2200] Speed: 248.94 samples/sec Train-top_k_accuracy_5=0.378828 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 247.00 samples/sec Train-accuracy=0.174453 | |
| INFO:root:Epoch[1] Batch [2250] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.383906 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 257.95 samples/sec Train-accuracy=0.175000 | |
| INFO:root:Epoch[1] Batch [2300] Speed: 257.95 samples/sec Train-top_k_accuracy_5=0.390000 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 259.56 samples/sec Train-accuracy=0.175937 | |
| INFO:root:Epoch[1] Batch [2350] Speed: 259.56 samples/sec Train-top_k_accuracy_5=0.392500 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 240.06 samples/sec Train-accuracy=0.176484 | |
| INFO:root:Epoch[1] Batch [2400] Speed: 240.06 samples/sec Train-top_k_accuracy_5=0.387891 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 268.02 samples/sec Train-accuracy=0.178359 | |
| INFO:root:Epoch[1] Batch [2450] Speed: 268.02 samples/sec Train-top_k_accuracy_5=0.396328 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 254.98 samples/sec Train-accuracy=0.179766 | |
| INFO:root:Epoch[1] Batch [2500] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.382891 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 259.61 samples/sec Train-accuracy=0.184766 | |
| INFO:root:Epoch[1] Batch [2550] Speed: 259.61 samples/sec Train-top_k_accuracy_5=0.402813 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 266.20 samples/sec Train-accuracy=0.180078 | |
| INFO:root:Epoch[1] Batch [2600] Speed: 266.20 samples/sec Train-top_k_accuracy_5=0.395547 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 270.44 samples/sec Train-accuracy=0.190234 | |
| INFO:root:Epoch[1] Batch [2650] Speed: 270.44 samples/sec Train-top_k_accuracy_5=0.401250 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 240.13 samples/sec Train-accuracy=0.189844 | |
| INFO:root:Epoch[1] Batch [2700] Speed: 240.13 samples/sec Train-top_k_accuracy_5=0.406172 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 262.96 samples/sec Train-accuracy=0.192031 | |
| INFO:root:Epoch[1] Batch [2750] Speed: 262.96 samples/sec Train-top_k_accuracy_5=0.416172 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 254.53 samples/sec Train-accuracy=0.199219 | |
| INFO:root:Epoch[1] Batch [2800] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.414844 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 268.37 samples/sec Train-accuracy=0.192969 | |
| INFO:root:Epoch[1] Batch [2850] Speed: 268.37 samples/sec Train-top_k_accuracy_5=0.405625 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 268.28 samples/sec Train-accuracy=0.191797 | |
| INFO:root:Epoch[1] Batch [2900] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.414922 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 264.10 samples/sec Train-accuracy=0.200703 | |
| INFO:root:Epoch[1] Batch [2950] Speed: 264.10 samples/sec Train-top_k_accuracy_5=0.413125 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 270.06 samples/sec Train-accuracy=0.194688 | |
| INFO:root:Epoch[1] Batch [3000] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.417109 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 265.20 samples/sec Train-accuracy=0.200781 | |
| INFO:root:Epoch[1] Batch [3050] Speed: 265.20 samples/sec Train-top_k_accuracy_5=0.418828 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 270.48 samples/sec Train-accuracy=0.200313 | |
| INFO:root:Epoch[1] Batch [3100] Speed: 270.48 samples/sec Train-top_k_accuracy_5=0.424766 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 252.69 samples/sec Train-accuracy=0.201328 | |
| INFO:root:Epoch[1] Batch [3150] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.419375 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 261.52 samples/sec Train-accuracy=0.205937 | |
| INFO:root:Epoch[1] Batch [3200] Speed: 261.52 samples/sec Train-top_k_accuracy_5=0.425078 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 263.97 samples/sec Train-accuracy=0.203984 | |
| INFO:root:Epoch[1] Batch [3250] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.429688 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 264.92 samples/sec Train-accuracy=0.211328 | |
| INFO:root:Epoch[1] Batch [3300] Speed: 264.92 samples/sec Train-top_k_accuracy_5=0.435469 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 268.76 samples/sec Train-accuracy=0.208516 | |
| INFO:root:Epoch[1] Batch [3350] Speed: 268.76 samples/sec Train-top_k_accuracy_5=0.430000 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 258.41 samples/sec Train-accuracy=0.208984 | |
| INFO:root:Epoch[1] Batch [3400] Speed: 258.41 samples/sec Train-top_k_accuracy_5=0.432891 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 259.64 samples/sec Train-accuracy=0.211797 | |
| INFO:root:Epoch[1] Batch [3450] Speed: 259.64 samples/sec Train-top_k_accuracy_5=0.435312 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 264.53 samples/sec Train-accuracy=0.217344 | |
| INFO:root:Epoch[1] Batch [3500] Speed: 264.53 samples/sec Train-top_k_accuracy_5=0.434063 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 266.68 samples/sec Train-accuracy=0.218281 | |
| INFO:root:Epoch[1] Batch [3550] Speed: 266.68 samples/sec Train-top_k_accuracy_5=0.449375 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 263.49 samples/sec Train-accuracy=0.220000 | |
| INFO:root:Epoch[1] Batch [3600] Speed: 263.49 samples/sec Train-top_k_accuracy_5=0.441328 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 274.59 samples/sec Train-accuracy=0.223047 | |
| INFO:root:Epoch[1] Batch [3650] Speed: 274.59 samples/sec Train-top_k_accuracy_5=0.450156 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 262.58 samples/sec Train-accuracy=0.217578 | |
| INFO:root:Epoch[1] Batch [3700] Speed: 262.58 samples/sec Train-top_k_accuracy_5=0.445391 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 270.23 samples/sec Train-accuracy=0.221953 | |
| INFO:root:Epoch[1] Batch [3750] Speed: 270.23 samples/sec Train-top_k_accuracy_5=0.446641 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 269.16 samples/sec Train-accuracy=0.220469 | |
| INFO:root:Epoch[1] Batch [3800] Speed: 269.16 samples/sec Train-top_k_accuracy_5=0.448672 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 267.67 samples/sec Train-accuracy=0.224453 | |
| INFO:root:Epoch[1] Batch [3850] Speed: 267.67 samples/sec Train-top_k_accuracy_5=0.454062 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 259.35 samples/sec Train-accuracy=0.223516 | |
| INFO:root:Epoch[1] Batch [3900] Speed: 259.35 samples/sec Train-top_k_accuracy_5=0.461172 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 274.75 samples/sec Train-accuracy=0.222188 | |
| INFO:root:Epoch[1] Batch [3950] Speed: 274.75 samples/sec Train-top_k_accuracy_5=0.448516 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 269.61 samples/sec Train-accuracy=0.220469 | |
| INFO:root:Epoch[1] Batch [4000] Speed: 269.61 samples/sec Train-top_k_accuracy_5=0.453437 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 270.71 samples/sec Train-accuracy=0.229375 | |
| INFO:root:Epoch[1] Batch [4050] Speed: 270.71 samples/sec Train-top_k_accuracy_5=0.460234 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 272.13 samples/sec Train-accuracy=0.233672 | |
| INFO:root:Epoch[1] Batch [4100] Speed: 272.13 samples/sec Train-top_k_accuracy_5=0.464766 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 262.59 samples/sec Train-accuracy=0.233516 | |
| INFO:root:Epoch[1] Batch [4150] Speed: 262.59 samples/sec Train-top_k_accuracy_5=0.463281 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 267.04 samples/sec Train-accuracy=0.230937 | |
| INFO:root:Epoch[1] Batch [4200] Speed: 267.04 samples/sec Train-top_k_accuracy_5=0.457891 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 267.48 samples/sec Train-accuracy=0.232578 | |
| INFO:root:Epoch[1] Batch [4250] Speed: 267.48 samples/sec Train-top_k_accuracy_5=0.466094 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 266.25 samples/sec Train-accuracy=0.237266 | |
| INFO:root:Epoch[1] Batch [4300] Speed: 266.25 samples/sec Train-top_k_accuracy_5=0.472969 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 262.67 samples/sec Train-accuracy=0.233359 | |
| INFO:root:Epoch[1] Batch [4350] Speed: 262.67 samples/sec Train-top_k_accuracy_5=0.467109 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 253.59 samples/sec Train-accuracy=0.236250 | |
| INFO:root:Epoch[1] Batch [4400] Speed: 253.59 samples/sec Train-top_k_accuracy_5=0.467109 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 277.60 samples/sec Train-accuracy=0.238125 | |
| INFO:root:Epoch[1] Batch [4450] Speed: 277.60 samples/sec Train-top_k_accuracy_5=0.471172 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 258.33 samples/sec Train-accuracy=0.236719 | |
| INFO:root:Epoch[1] Batch [4500] Speed: 258.33 samples/sec Train-top_k_accuracy_5=0.470703 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 274.16 samples/sec Train-accuracy=0.242266 | |
| INFO:root:Epoch[1] Batch [4550] Speed: 274.16 samples/sec Train-top_k_accuracy_5=0.479531 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 267.31 samples/sec Train-accuracy=0.243047 | |
| INFO:root:Epoch[1] Batch [4600] Speed: 267.31 samples/sec Train-top_k_accuracy_5=0.481953 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 268.93 samples/sec Train-accuracy=0.240703 | |
| INFO:root:Epoch[1] Batch [4650] Speed: 268.93 samples/sec Train-top_k_accuracy_5=0.473203 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 269.30 samples/sec Train-accuracy=0.242266 | |
| INFO:root:Epoch[1] Batch [4700] Speed: 269.30 samples/sec Train-top_k_accuracy_5=0.482656 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 272.70 samples/sec Train-accuracy=0.240156 | |
| INFO:root:Epoch[1] Batch [4750] Speed: 272.70 samples/sec Train-top_k_accuracy_5=0.480859 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 272.35 samples/sec Train-accuracy=0.243594 | |
| INFO:root:Epoch[1] Batch [4800] Speed: 272.35 samples/sec Train-top_k_accuracy_5=0.477891 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 274.41 samples/sec Train-accuracy=0.248125 | |
| INFO:root:Epoch[1] Batch [4850] Speed: 274.41 samples/sec Train-top_k_accuracy_5=0.486094 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 266.58 samples/sec Train-accuracy=0.248516 | |
| INFO:root:Epoch[1] Batch [4900] Speed: 266.58 samples/sec Train-top_k_accuracy_5=0.481953 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 273.99 samples/sec Train-accuracy=0.247734 | |
| INFO:root:Epoch[1] Batch [4950] Speed: 273.99 samples/sec Train-top_k_accuracy_5=0.486641 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 267.12 samples/sec Train-accuracy=0.255078 | |
| INFO:root:Epoch[1] Batch [5000] Speed: 267.12 samples/sec Train-top_k_accuracy_5=0.495703 | |
| INFO:root:Epoch[1] Resetting Data Iterator | |
| INFO:root:Epoch[1] Time cost=4844.718 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0002.params" | |
| INFO:root:Epoch[1] Validation-accuracy=0.263752 | |
| INFO:root:Epoch[1] Validation-top_k_accuracy_5=0.517319 | |
| INFO:root:Epoch[2] Batch [50] Speed: 286.12 samples/sec Train-accuracy=0.261641 | |
| INFO:root:Epoch[2] Batch [50] Speed: 286.12 samples/sec Train-top_k_accuracy_5=0.503437 | |
| INFO:root:Epoch[2] Batch [100] Speed: 280.85 samples/sec Train-accuracy=0.253984 | |
| INFO:root:Epoch[2] Batch [100] Speed: 280.85 samples/sec Train-top_k_accuracy_5=0.490234 | |
| INFO:root:Epoch[2] Batch [150] Speed: 280.70 samples/sec Train-accuracy=0.250625 | |
| INFO:root:Epoch[2] Batch [150] Speed: 280.70 samples/sec Train-top_k_accuracy_5=0.493359 | |
| INFO:root:Epoch[2] Batch [200] Speed: 268.30 samples/sec Train-accuracy=0.257188 | |
| INFO:root:Epoch[2] Batch [200] Speed: 268.30 samples/sec Train-top_k_accuracy_5=0.497891 | |
| INFO:root:Epoch[2] Batch [250] Speed: 264.24 samples/sec Train-accuracy=0.251094 | |
| INFO:root:Epoch[2] Batch [250] Speed: 264.24 samples/sec Train-top_k_accuracy_5=0.489687 | |
| INFO:root:Epoch[2] Batch [300] Speed: 261.85 samples/sec Train-accuracy=0.258047 | |
| INFO:root:Epoch[2] Batch [300] Speed: 261.85 samples/sec Train-top_k_accuracy_5=0.505625 | |
| INFO:root:Epoch[2] Batch [350] Speed: 267.19 samples/sec Train-accuracy=0.265859 | |
| INFO:root:Epoch[2] Batch [350] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.503906 | |
| INFO:root:Epoch[2] Batch [400] Speed: 267.40 samples/sec Train-accuracy=0.257578 | |
| INFO:root:Epoch[2] Batch [400] Speed: 267.40 samples/sec Train-top_k_accuracy_5=0.506797 | |
| INFO:root:Epoch[2] Batch [450] Speed: 267.26 samples/sec Train-accuracy=0.261641 | |
| INFO:root:Epoch[2] Batch [450] Speed: 267.26 samples/sec Train-top_k_accuracy_5=0.505313 | |
| INFO:root:Epoch[2] Batch [500] Speed: 262.50 samples/sec Train-accuracy=0.273125 | |
| INFO:root:Epoch[2] Batch [500] Speed: 262.50 samples/sec Train-top_k_accuracy_5=0.513359 | |
| INFO:root:Epoch[2] Batch [550] Speed: 242.30 samples/sec Train-accuracy=0.263516 | |
| INFO:root:Epoch[2] Batch [550] Speed: 242.30 samples/sec Train-top_k_accuracy_5=0.506484 | |
| INFO:root:Epoch[2] Batch [600] Speed: 262.37 samples/sec Train-accuracy=0.259922 | |
| INFO:root:Epoch[2] Batch [600] Speed: 262.37 samples/sec Train-top_k_accuracy_5=0.501719 | |
| INFO:root:Epoch[2] Batch [650] Speed: 269.13 samples/sec Train-accuracy=0.267031 | |
| INFO:root:Epoch[2] Batch [650] Speed: 269.13 samples/sec Train-top_k_accuracy_5=0.511563 | |
| INFO:root:Epoch[2] Batch [700] Speed: 257.99 samples/sec Train-accuracy=0.264844 | |
| INFO:root:Epoch[2] Batch [700] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.505859 | |
| INFO:root:Epoch[2] Batch [750] Speed: 272.10 samples/sec Train-accuracy=0.275703 | |
| INFO:root:Epoch[2] Batch [750] Speed: 272.10 samples/sec Train-top_k_accuracy_5=0.516719 | |
| INFO:root:Epoch[2] Batch [800] Speed: 269.13 samples/sec Train-accuracy=0.267813 | |
| INFO:root:Epoch[2] Batch [800] Speed: 269.13 samples/sec Train-top_k_accuracy_5=0.509687 | |
| INFO:root:Epoch[2] Batch [850] Speed: 275.58 samples/sec Train-accuracy=0.265859 | |
| INFO:root:Epoch[2] Batch [850] Speed: 275.58 samples/sec Train-top_k_accuracy_5=0.512578 | |
| INFO:root:Epoch[2] Batch [900] Speed: 256.45 samples/sec Train-accuracy=0.272500 | |
| INFO:root:Epoch[2] Batch [900] Speed: 256.45 samples/sec Train-top_k_accuracy_5=0.517031 | |
| INFO:root:Epoch[2] Batch [950] Speed: 253.67 samples/sec Train-accuracy=0.268437 | |
| INFO:root:Epoch[2] Batch [950] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.511797 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 246.64 samples/sec Train-accuracy=0.273438 | |
| INFO:root:Epoch[2] Batch [1000] Speed: 246.64 samples/sec Train-top_k_accuracy_5=0.525156 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 260.71 samples/sec Train-accuracy=0.270859 | |
| INFO:root:Epoch[2] Batch [1050] Speed: 260.71 samples/sec Train-top_k_accuracy_5=0.515859 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 254.38 samples/sec Train-accuracy=0.276641 | |
| INFO:root:Epoch[2] Batch [1100] Speed: 254.38 samples/sec Train-top_k_accuracy_5=0.525859 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 256.66 samples/sec Train-accuracy=0.272656 | |
| INFO:root:Epoch[2] Batch [1150] Speed: 256.66 samples/sec Train-top_k_accuracy_5=0.515625 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 251.11 samples/sec Train-accuracy=0.283828 | |
| INFO:root:Epoch[2] Batch [1200] Speed: 251.11 samples/sec Train-top_k_accuracy_5=0.527500 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 269.15 samples/sec Train-accuracy=0.281016 | |
| INFO:root:Epoch[2] Batch [1250] Speed: 269.15 samples/sec Train-top_k_accuracy_5=0.524375 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 260.03 samples/sec Train-accuracy=0.277422 | |
| INFO:root:Epoch[2] Batch [1300] Speed: 260.03 samples/sec Train-top_k_accuracy_5=0.519766 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 250.62 samples/sec Train-accuracy=0.281484 | |
| INFO:root:Epoch[2] Batch [1350] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.527344 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 266.47 samples/sec Train-accuracy=0.277734 | |
| INFO:root:Epoch[2] Batch [1400] Speed: 266.47 samples/sec Train-top_k_accuracy_5=0.524453 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 272.49 samples/sec Train-accuracy=0.279609 | |
| INFO:root:Epoch[2] Batch [1450] Speed: 272.49 samples/sec Train-top_k_accuracy_5=0.528594 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 267.69 samples/sec Train-accuracy=0.276250 | |
| INFO:root:Epoch[2] Batch [1500] Speed: 267.69 samples/sec Train-top_k_accuracy_5=0.526250 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 267.30 samples/sec Train-accuracy=0.285469 | |
| INFO:root:Epoch[2] Batch [1550] Speed: 267.30 samples/sec Train-top_k_accuracy_5=0.528516 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 263.82 samples/sec Train-accuracy=0.288047 | |
| INFO:root:Epoch[2] Batch [1600] Speed: 263.82 samples/sec Train-top_k_accuracy_5=0.534687 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 259.97 samples/sec Train-accuracy=0.288203 | |
| INFO:root:Epoch[2] Batch [1650] Speed: 259.97 samples/sec Train-top_k_accuracy_5=0.529531 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 259.54 samples/sec Train-accuracy=0.277969 | |
| INFO:root:Epoch[2] Batch [1700] Speed: 259.54 samples/sec Train-top_k_accuracy_5=0.524375 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 250.04 samples/sec Train-accuracy=0.284453 | |
| INFO:root:Epoch[2] Batch [1750] Speed: 250.04 samples/sec Train-top_k_accuracy_5=0.533203 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 246.68 samples/sec Train-accuracy=0.280078 | |
| INFO:root:Epoch[2] Batch [1800] Speed: 246.68 samples/sec Train-top_k_accuracy_5=0.533125 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 246.72 samples/sec Train-accuracy=0.286641 | |
| INFO:root:Epoch[2] Batch [1850] Speed: 246.72 samples/sec Train-top_k_accuracy_5=0.527813 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 251.41 samples/sec Train-accuracy=0.291406 | |
| INFO:root:Epoch[2] Batch [1900] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.538750 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 254.32 samples/sec Train-accuracy=0.291953 | |
| INFO:root:Epoch[2] Batch [1950] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.534453 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 255.31 samples/sec Train-accuracy=0.286719 | |
| INFO:root:Epoch[2] Batch [2000] Speed: 255.31 samples/sec Train-top_k_accuracy_5=0.532500 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 259.66 samples/sec Train-accuracy=0.295703 | |
| INFO:root:Epoch[2] Batch [2050] Speed: 259.66 samples/sec Train-top_k_accuracy_5=0.543984 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 254.33 samples/sec Train-accuracy=0.291641 | |
| INFO:root:Epoch[2] Batch [2100] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.550625 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 264.59 samples/sec Train-accuracy=0.301563 | |
| INFO:root:Epoch[2] Batch [2150] Speed: 264.59 samples/sec Train-top_k_accuracy_5=0.548984 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 250.22 samples/sec Train-accuracy=0.294766 | |
| INFO:root:Epoch[2] Batch [2200] Speed: 250.22 samples/sec Train-top_k_accuracy_5=0.545156 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 252.87 samples/sec Train-accuracy=0.299375 | |
| INFO:root:Epoch[2] Batch [2250] Speed: 252.87 samples/sec Train-top_k_accuracy_5=0.541641 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 259.18 samples/sec Train-accuracy=0.302266 | |
| INFO:root:Epoch[2] Batch [2300] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.544844 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 259.19 samples/sec Train-accuracy=0.293594 | |
| INFO:root:Epoch[2] Batch [2350] Speed: 259.19 samples/sec Train-top_k_accuracy_5=0.540234 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 261.82 samples/sec Train-accuracy=0.297578 | |
| INFO:root:Epoch[2] Batch [2400] Speed: 261.82 samples/sec Train-top_k_accuracy_5=0.541797 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 250.52 samples/sec Train-accuracy=0.299141 | |
| INFO:root:Epoch[2] Batch [2450] Speed: 250.52 samples/sec Train-top_k_accuracy_5=0.548203 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 242.82 samples/sec Train-accuracy=0.303047 | |
| INFO:root:Epoch[2] Batch [2500] Speed: 242.82 samples/sec Train-top_k_accuracy_5=0.542891 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 270.02 samples/sec Train-accuracy=0.291875 | |
| INFO:root:Epoch[2] Batch [2550] Speed: 270.02 samples/sec Train-top_k_accuracy_5=0.542188 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 274.17 samples/sec Train-accuracy=0.301250 | |
| INFO:root:Epoch[2] Batch [2600] Speed: 274.17 samples/sec Train-top_k_accuracy_5=0.543516 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 257.24 samples/sec Train-accuracy=0.299531 | |
| INFO:root:Epoch[2] Batch [2650] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.546250 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 263.37 samples/sec Train-accuracy=0.304609 | |
| INFO:root:Epoch[2] Batch [2700] Speed: 263.37 samples/sec Train-top_k_accuracy_5=0.549375 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 267.44 samples/sec Train-accuracy=0.301953 | |
| INFO:root:Epoch[2] Batch [2750] Speed: 267.44 samples/sec Train-top_k_accuracy_5=0.549141 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 260.89 samples/sec Train-accuracy=0.309688 | |
| INFO:root:Epoch[2] Batch [2800] Speed: 260.89 samples/sec Train-top_k_accuracy_5=0.559141 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 261.88 samples/sec Train-accuracy=0.302969 | |
| INFO:root:Epoch[2] Batch [2850] Speed: 261.88 samples/sec Train-top_k_accuracy_5=0.555391 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 254.47 samples/sec Train-accuracy=0.307969 | |
| INFO:root:Epoch[2] Batch [2900] Speed: 254.47 samples/sec Train-top_k_accuracy_5=0.558672 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 264.69 samples/sec Train-accuracy=0.306875 | |
| INFO:root:Epoch[2] Batch [2950] Speed: 264.69 samples/sec Train-top_k_accuracy_5=0.553281 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 267.76 samples/sec Train-accuracy=0.307656 | |
| INFO:root:Epoch[2] Batch [3000] Speed: 267.76 samples/sec Train-top_k_accuracy_5=0.558594 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 266.91 samples/sec Train-accuracy=0.312578 | |
| INFO:root:Epoch[2] Batch [3050] Speed: 266.91 samples/sec Train-top_k_accuracy_5=0.559297 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 276.30 samples/sec Train-accuracy=0.309219 | |
| INFO:root:Epoch[2] Batch [3100] Speed: 276.30 samples/sec Train-top_k_accuracy_5=0.554609 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 276.38 samples/sec Train-accuracy=0.313359 | |
| INFO:root:Epoch[2] Batch [3150] Speed: 276.38 samples/sec Train-top_k_accuracy_5=0.561094 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 272.87 samples/sec Train-accuracy=0.313047 | |
| INFO:root:Epoch[2] Batch [3200] Speed: 272.87 samples/sec Train-top_k_accuracy_5=0.559844 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 264.00 samples/sec Train-accuracy=0.309766 | |
| INFO:root:Epoch[2] Batch [3250] Speed: 264.00 samples/sec Train-top_k_accuracy_5=0.563828 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 269.13 samples/sec Train-accuracy=0.312891 | |
| INFO:root:Epoch[2] Batch [3300] Speed: 269.13 samples/sec Train-top_k_accuracy_5=0.562813 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 273.28 samples/sec Train-accuracy=0.315391 | |
| INFO:root:Epoch[2] Batch [3350] Speed: 273.28 samples/sec Train-top_k_accuracy_5=0.560781 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 264.41 samples/sec Train-accuracy=0.316172 | |
| INFO:root:Epoch[2] Batch [3400] Speed: 264.41 samples/sec Train-top_k_accuracy_5=0.559063 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 258.80 samples/sec Train-accuracy=0.314531 | |
| INFO:root:Epoch[2] Batch [3450] Speed: 258.80 samples/sec Train-top_k_accuracy_5=0.560937 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 259.66 samples/sec Train-accuracy=0.316016 | |
| INFO:root:Epoch[2] Batch [3500] Speed: 259.66 samples/sec Train-top_k_accuracy_5=0.571406 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 259.81 samples/sec Train-accuracy=0.322578 | |
| INFO:root:Epoch[2] Batch [3550] Speed: 259.81 samples/sec Train-top_k_accuracy_5=0.576953 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 260.58 samples/sec Train-accuracy=0.318516 | |
| INFO:root:Epoch[2] Batch [3600] Speed: 260.58 samples/sec Train-top_k_accuracy_5=0.563984 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 272.60 samples/sec Train-accuracy=0.321328 | |
| INFO:root:Epoch[2] Batch [3650] Speed: 272.60 samples/sec Train-top_k_accuracy_5=0.572969 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 267.22 samples/sec Train-accuracy=0.321562 | |
| INFO:root:Epoch[2] Batch [3700] Speed: 267.22 samples/sec Train-top_k_accuracy_5=0.567031 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 262.58 samples/sec Train-accuracy=0.314141 | |
| INFO:root:Epoch[2] Batch [3750] Speed: 262.58 samples/sec Train-top_k_accuracy_5=0.568359 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 264.16 samples/sec Train-accuracy=0.312578 | |
| INFO:root:Epoch[2] Batch [3800] Speed: 264.16 samples/sec Train-top_k_accuracy_5=0.562031 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 265.30 samples/sec Train-accuracy=0.322266 | |
| INFO:root:Epoch[2] Batch [3850] Speed: 265.30 samples/sec Train-top_k_accuracy_5=0.570625 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 269.42 samples/sec Train-accuracy=0.328281 | |
| INFO:root:Epoch[2] Batch [3900] Speed: 269.42 samples/sec Train-top_k_accuracy_5=0.578750 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 258.25 samples/sec Train-accuracy=0.319531 | |
| INFO:root:Epoch[2] Batch [3950] Speed: 258.25 samples/sec Train-top_k_accuracy_5=0.569219 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 268.80 samples/sec Train-accuracy=0.318281 | |
| INFO:root:Epoch[2] Batch [4000] Speed: 268.80 samples/sec Train-top_k_accuracy_5=0.574375 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 259.67 samples/sec Train-accuracy=0.326797 | |
| INFO:root:Epoch[2] Batch [4050] Speed: 259.67 samples/sec Train-top_k_accuracy_5=0.573594 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 270.89 samples/sec Train-accuracy=0.323281 | |
| INFO:root:Epoch[2] Batch [4100] Speed: 270.89 samples/sec Train-top_k_accuracy_5=0.576094 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 267.58 samples/sec Train-accuracy=0.322891 | |
| INFO:root:Epoch[2] Batch [4150] Speed: 267.58 samples/sec Train-top_k_accuracy_5=0.581484 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 268.84 samples/sec Train-accuracy=0.326250 | |
| INFO:root:Epoch[2] Batch [4200] Speed: 268.84 samples/sec Train-top_k_accuracy_5=0.573906 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 259.47 samples/sec Train-accuracy=0.323594 | |
| INFO:root:Epoch[2] Batch [4250] Speed: 259.47 samples/sec Train-top_k_accuracy_5=0.581797 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 260.69 samples/sec Train-accuracy=0.329141 | |
| INFO:root:Epoch[2] Batch [4300] Speed: 260.69 samples/sec Train-top_k_accuracy_5=0.578047 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 252.17 samples/sec Train-accuracy=0.323984 | |
| INFO:root:Epoch[2] Batch [4350] Speed: 252.17 samples/sec Train-top_k_accuracy_5=0.573672 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 255.51 samples/sec Train-accuracy=0.330859 | |
| INFO:root:Epoch[2] Batch [4400] Speed: 255.51 samples/sec Train-top_k_accuracy_5=0.580313 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 263.76 samples/sec Train-accuracy=0.322188 | |
| INFO:root:Epoch[2] Batch [4450] Speed: 263.76 samples/sec Train-top_k_accuracy_5=0.577344 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 264.21 samples/sec Train-accuracy=0.325937 | |
| INFO:root:Epoch[2] Batch [4500] Speed: 264.21 samples/sec Train-top_k_accuracy_5=0.573359 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 252.08 samples/sec Train-accuracy=0.333437 | |
| INFO:root:Epoch[2] Batch [4550] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.583672 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 250.09 samples/sec Train-accuracy=0.333750 | |
| INFO:root:Epoch[2] Batch [4600] Speed: 250.09 samples/sec Train-top_k_accuracy_5=0.583828 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 258.02 samples/sec Train-accuracy=0.321953 | |
| INFO:root:Epoch[2] Batch [4650] Speed: 258.02 samples/sec Train-top_k_accuracy_5=0.577500 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 252.32 samples/sec Train-accuracy=0.327500 | |
| INFO:root:Epoch[2] Batch [4700] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.582812 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 251.11 samples/sec Train-accuracy=0.324141 | |
| INFO:root:Epoch[2] Batch [4750] Speed: 251.11 samples/sec Train-top_k_accuracy_5=0.577734 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 248.63 samples/sec Train-accuracy=0.329297 | |
| INFO:root:Epoch[2] Batch [4800] Speed: 248.63 samples/sec Train-top_k_accuracy_5=0.580156 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 264.20 samples/sec Train-accuracy=0.325781 | |
| INFO:root:Epoch[2] Batch [4850] Speed: 264.20 samples/sec Train-top_k_accuracy_5=0.582109 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 271.02 samples/sec Train-accuracy=0.328984 | |
| INFO:root:Epoch[2] Batch [4900] Speed: 271.02 samples/sec Train-top_k_accuracy_5=0.577969 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 259.39 samples/sec Train-accuracy=0.327344 | |
| INFO:root:Epoch[2] Batch [4950] Speed: 259.39 samples/sec Train-top_k_accuracy_5=0.578047 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 260.55 samples/sec Train-accuracy=0.338594 | |
| INFO:root:Epoch[2] Batch [5000] Speed: 260.55 samples/sec Train-top_k_accuracy_5=0.587578 | |
| INFO:root:Epoch[2] Resetting Data Iterator | |
| INFO:root:Epoch[2] Time cost=4895.966 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0003.params" | |
| INFO:root:Epoch[2] Validation-accuracy=0.364776 | |
| INFO:root:Epoch[2] Validation-top_k_accuracy_5=0.633450 | |
| INFO:root:Epoch[3] Batch [50] Speed: 284.45 samples/sec Train-accuracy=0.337656 | |
| INFO:root:Epoch[3] Batch [50] Speed: 284.45 samples/sec Train-top_k_accuracy_5=0.589688 | |
| INFO:root:Epoch[3] Batch [100] Speed: 278.91 samples/sec Train-accuracy=0.334531 | |
| INFO:root:Epoch[3] Batch [100] Speed: 278.91 samples/sec Train-top_k_accuracy_5=0.580859 | |
| INFO:root:Epoch[3] Batch [150] Speed: 271.47 samples/sec Train-accuracy=0.331719 | |
| INFO:root:Epoch[3] Batch [150] Speed: 271.47 samples/sec Train-top_k_accuracy_5=0.589141 | |
| INFO:root:Epoch[3] Batch [200] Speed: 252.61 samples/sec Train-accuracy=0.332813 | |
| INFO:root:Epoch[3] Batch [200] Speed: 252.61 samples/sec Train-top_k_accuracy_5=0.579922 | |
| INFO:root:Epoch[3] Batch [250] Speed: 269.57 samples/sec Train-accuracy=0.333203 | |
| INFO:root:Epoch[3] Batch [250] Speed: 269.57 samples/sec Train-top_k_accuracy_5=0.584766 | |
| INFO:root:Epoch[3] Batch [300] Speed: 265.25 samples/sec Train-accuracy=0.332188 | |
| INFO:root:Epoch[3] Batch [300] Speed: 265.25 samples/sec Train-top_k_accuracy_5=0.587344 | |
| INFO:root:Epoch[3] Batch [350] Speed: 265.37 samples/sec Train-accuracy=0.333828 | |
| INFO:root:Epoch[3] Batch [350] Speed: 265.37 samples/sec Train-top_k_accuracy_5=0.589688 | |
| INFO:root:Epoch[3] Batch [400] Speed: 261.08 samples/sec Train-accuracy=0.333437 | |
| INFO:root:Epoch[3] Batch [400] Speed: 261.08 samples/sec Train-top_k_accuracy_5=0.593359 | |
| INFO:root:Epoch[3] Batch [450] Speed: 264.86 samples/sec Train-accuracy=0.337656 | |
| INFO:root:Epoch[3] Batch [450] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.594766 | |
| INFO:root:Epoch[3] Batch [500] Speed: 264.00 samples/sec Train-accuracy=0.346250 | |
| INFO:root:Epoch[3] Batch [500] Speed: 264.00 samples/sec Train-top_k_accuracy_5=0.596250 | |
| INFO:root:Epoch[3] Batch [550] Speed: 268.64 samples/sec Train-accuracy=0.342187 | |
| INFO:root:Epoch[3] Batch [550] Speed: 268.64 samples/sec Train-top_k_accuracy_5=0.589688 | |
| INFO:root:Epoch[3] Batch [600] Speed: 261.21 samples/sec Train-accuracy=0.336328 | |
| INFO:root:Epoch[3] Batch [600] Speed: 261.21 samples/sec Train-top_k_accuracy_5=0.588750 | |
| INFO:root:Epoch[3] Batch [650] Speed: 266.72 samples/sec Train-accuracy=0.343359 | |
| INFO:root:Epoch[3] Batch [650] Speed: 266.72 samples/sec Train-top_k_accuracy_5=0.594375 | |
| INFO:root:Epoch[3] Batch [700] Speed: 268.68 samples/sec Train-accuracy=0.339922 | |
| INFO:root:Epoch[3] Batch [700] Speed: 268.68 samples/sec Train-top_k_accuracy_5=0.587734 | |
| INFO:root:Epoch[3] Batch [750] Speed: 260.04 samples/sec Train-accuracy=0.345781 | |
| INFO:root:Epoch[3] Batch [750] Speed: 260.04 samples/sec Train-top_k_accuracy_5=0.594219 | |
| INFO:root:Epoch[3] Batch [800] Speed: 259.76 samples/sec Train-accuracy=0.338203 | |
| INFO:root:Epoch[3] Batch [800] Speed: 259.76 samples/sec Train-top_k_accuracy_5=0.590938 | |
| INFO:root:Epoch[3] Batch [850] Speed: 249.30 samples/sec Train-accuracy=0.333906 | |
| INFO:root:Epoch[3] Batch [850] Speed: 249.30 samples/sec Train-top_k_accuracy_5=0.588203 | |
| INFO:root:Epoch[3] Batch [900] Speed: 244.70 samples/sec Train-accuracy=0.341562 | |
| INFO:root:Epoch[3] Batch [900] Speed: 244.70 samples/sec Train-top_k_accuracy_5=0.595313 | |
| INFO:root:Epoch[3] Batch [950] Speed: 263.25 samples/sec Train-accuracy=0.348516 | |
| INFO:root:Epoch[3] Batch [950] Speed: 263.25 samples/sec Train-top_k_accuracy_5=0.600391 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 258.45 samples/sec Train-accuracy=0.344766 | |
| INFO:root:Epoch[3] Batch [1000] Speed: 258.45 samples/sec Train-top_k_accuracy_5=0.600938 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 242.88 samples/sec Train-accuracy=0.340000 | |
| INFO:root:Epoch[3] Batch [1050] Speed: 242.88 samples/sec Train-top_k_accuracy_5=0.593984 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 250.96 samples/sec Train-accuracy=0.347734 | |
| INFO:root:Epoch[3] Batch [1100] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.605625 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 240.82 samples/sec Train-accuracy=0.341797 | |
| INFO:root:Epoch[3] Batch [1150] Speed: 240.82 samples/sec Train-top_k_accuracy_5=0.592656 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 249.37 samples/sec Train-accuracy=0.344922 | |
| INFO:root:Epoch[3] Batch [1200] Speed: 249.37 samples/sec Train-top_k_accuracy_5=0.599141 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 262.24 samples/sec Train-accuracy=0.346094 | |
| INFO:root:Epoch[3] Batch [1250] Speed: 262.24 samples/sec Train-top_k_accuracy_5=0.596328 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 263.63 samples/sec Train-accuracy=0.348047 | |
| INFO:root:Epoch[3] Batch [1300] Speed: 263.63 samples/sec Train-top_k_accuracy_5=0.598828 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 253.35 samples/sec Train-accuracy=0.345547 | |
| INFO:root:Epoch[3] Batch [1350] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.602422 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 257.70 samples/sec Train-accuracy=0.351953 | |
| INFO:root:Epoch[3] Batch [1400] Speed: 257.70 samples/sec Train-top_k_accuracy_5=0.599844 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 271.92 samples/sec Train-accuracy=0.355547 | |
| INFO:root:Epoch[3] Batch [1450] Speed: 271.92 samples/sec Train-top_k_accuracy_5=0.604141 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 265.82 samples/sec Train-accuracy=0.353906 | |
| INFO:root:Epoch[3] Batch [1500] Speed: 265.82 samples/sec Train-top_k_accuracy_5=0.604141 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 266.49 samples/sec Train-accuracy=0.358281 | |
| INFO:root:Epoch[3] Batch [1550] Speed: 266.49 samples/sec Train-top_k_accuracy_5=0.604531 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 264.36 samples/sec Train-accuracy=0.354766 | |
| INFO:root:Epoch[3] Batch [1600] Speed: 264.36 samples/sec Train-top_k_accuracy_5=0.604062 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 258.15 samples/sec Train-accuracy=0.353281 | |
| INFO:root:Epoch[3] Batch [1650] Speed: 258.15 samples/sec Train-top_k_accuracy_5=0.603828 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 242.00 samples/sec Train-accuracy=0.349219 | |
| INFO:root:Epoch[3] Batch [1700] Speed: 242.00 samples/sec Train-top_k_accuracy_5=0.597734 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 255.21 samples/sec Train-accuracy=0.349219 | |
| INFO:root:Epoch[3] Batch [1750] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.605156 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 258.67 samples/sec Train-accuracy=0.354375 | |
| INFO:root:Epoch[3] Batch [1800] Speed: 258.67 samples/sec Train-top_k_accuracy_5=0.604531 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 244.52 samples/sec Train-accuracy=0.349219 | |
| INFO:root:Epoch[3] Batch [1850] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.603594 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 252.26 samples/sec Train-accuracy=0.357344 | |
| INFO:root:Epoch[3] Batch [1900] Speed: 252.26 samples/sec Train-top_k_accuracy_5=0.606797 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 257.48 samples/sec Train-accuracy=0.358359 | |
| INFO:root:Epoch[3] Batch [1950] Speed: 257.48 samples/sec Train-top_k_accuracy_5=0.611563 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 262.08 samples/sec Train-accuracy=0.351875 | |
| INFO:root:Epoch[3] Batch [2000] Speed: 262.08 samples/sec Train-top_k_accuracy_5=0.608125 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 264.18 samples/sec Train-accuracy=0.356563 | |
| INFO:root:Epoch[3] Batch [2050] Speed: 264.18 samples/sec Train-top_k_accuracy_5=0.603984 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 251.70 samples/sec Train-accuracy=0.359609 | |
| INFO:root:Epoch[3] Batch [2100] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.608437 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 253.62 samples/sec Train-accuracy=0.361250 | |
| INFO:root:Epoch[3] Batch [2150] Speed: 253.62 samples/sec Train-top_k_accuracy_5=0.613125 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 252.83 samples/sec Train-accuracy=0.362422 | |
| INFO:root:Epoch[3] Batch [2200] Speed: 252.83 samples/sec Train-top_k_accuracy_5=0.610000 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 252.31 samples/sec Train-accuracy=0.356797 | |
| INFO:root:Epoch[3] Batch [2250] Speed: 252.31 samples/sec Train-top_k_accuracy_5=0.607187 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 247.63 samples/sec Train-accuracy=0.351641 | |
| INFO:root:Epoch[3] Batch [2300] Speed: 247.63 samples/sec Train-top_k_accuracy_5=0.605859 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 249.99 samples/sec Train-accuracy=0.352109 | |
| INFO:root:Epoch[3] Batch [2350] Speed: 249.99 samples/sec Train-top_k_accuracy_5=0.611484 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 246.43 samples/sec Train-accuracy=0.362969 | |
| INFO:root:Epoch[3] Batch [2400] Speed: 246.43 samples/sec Train-top_k_accuracy_5=0.606875 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 250.24 samples/sec Train-accuracy=0.357422 | |
| INFO:root:Epoch[3] Batch [2450] Speed: 250.24 samples/sec Train-top_k_accuracy_5=0.608437 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 238.98 samples/sec Train-accuracy=0.349062 | |
| INFO:root:Epoch[3] Batch [2500] Speed: 238.98 samples/sec Train-top_k_accuracy_5=0.599453 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 242.71 samples/sec Train-accuracy=0.358438 | |
| INFO:root:Epoch[3] Batch [2550] Speed: 242.71 samples/sec Train-top_k_accuracy_5=0.610781 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 258.31 samples/sec Train-accuracy=0.352734 | |
| INFO:root:Epoch[3] Batch [2600] Speed: 258.31 samples/sec Train-top_k_accuracy_5=0.612891 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 252.68 samples/sec Train-accuracy=0.362187 | |
| INFO:root:Epoch[3] Batch [2650] Speed: 252.68 samples/sec Train-top_k_accuracy_5=0.616328 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 251.56 samples/sec Train-accuracy=0.360078 | |
| INFO:root:Epoch[3] Batch [2700] Speed: 251.56 samples/sec Train-top_k_accuracy_5=0.609062 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 262.73 samples/sec Train-accuracy=0.371641 | |
| INFO:root:Epoch[3] Batch [2750] Speed: 262.73 samples/sec Train-top_k_accuracy_5=0.613359 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 258.50 samples/sec Train-accuracy=0.361094 | |
| INFO:root:Epoch[3] Batch [2800] Speed: 258.50 samples/sec Train-top_k_accuracy_5=0.614375 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 263.82 samples/sec Train-accuracy=0.364063 | |
| INFO:root:Epoch[3] Batch [2850] Speed: 263.82 samples/sec Train-top_k_accuracy_5=0.614609 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 258.20 samples/sec Train-accuracy=0.363125 | |
| INFO:root:Epoch[3] Batch [2900] Speed: 258.20 samples/sec Train-top_k_accuracy_5=0.618125 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 243.17 samples/sec Train-accuracy=0.365859 | |
| INFO:root:Epoch[3] Batch [2950] Speed: 243.17 samples/sec Train-top_k_accuracy_5=0.618672 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 255.57 samples/sec Train-accuracy=0.360469 | |
| INFO:root:Epoch[3] Batch [3000] Speed: 255.57 samples/sec Train-top_k_accuracy_5=0.609531 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 248.86 samples/sec Train-accuracy=0.362187 | |
| INFO:root:Epoch[3] Batch [3050] Speed: 248.86 samples/sec Train-top_k_accuracy_5=0.613984 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 265.38 samples/sec Train-accuracy=0.368984 | |
| INFO:root:Epoch[3] Batch [3100] Speed: 265.38 samples/sec Train-top_k_accuracy_5=0.621719 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 266.47 samples/sec Train-accuracy=0.362500 | |
| INFO:root:Epoch[3] Batch [3150] Speed: 266.47 samples/sec Train-top_k_accuracy_5=0.617188 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 260.12 samples/sec Train-accuracy=0.364375 | |
| INFO:root:Epoch[3] Batch [3200] Speed: 260.12 samples/sec Train-top_k_accuracy_5=0.621406 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 270.98 samples/sec Train-accuracy=0.361094 | |
| INFO:root:Epoch[3] Batch [3250] Speed: 270.98 samples/sec Train-top_k_accuracy_5=0.611328 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 272.25 samples/sec Train-accuracy=0.366484 | |
| INFO:root:Epoch[3] Batch [3300] Speed: 272.25 samples/sec Train-top_k_accuracy_5=0.616953 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 270.70 samples/sec Train-accuracy=0.359141 | |
| INFO:root:Epoch[3] Batch [3350] Speed: 270.70 samples/sec Train-top_k_accuracy_5=0.614688 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 262.22 samples/sec Train-accuracy=0.366875 | |
| INFO:root:Epoch[3] Batch [3400] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.623203 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 270.74 samples/sec Train-accuracy=0.357500 | |
| INFO:root:Epoch[3] Batch [3450] Speed: 270.74 samples/sec Train-top_k_accuracy_5=0.612109 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 269.90 samples/sec Train-accuracy=0.371094 | |
| INFO:root:Epoch[3] Batch [3500] Speed: 269.90 samples/sec Train-top_k_accuracy_5=0.618750 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 272.62 samples/sec Train-accuracy=0.371641 | |
| INFO:root:Epoch[3] Batch [3550] Speed: 272.62 samples/sec Train-top_k_accuracy_5=0.621641 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 271.49 samples/sec Train-accuracy=0.365312 | |
| INFO:root:Epoch[3] Batch [3600] Speed: 271.49 samples/sec Train-top_k_accuracy_5=0.617734 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 265.59 samples/sec Train-accuracy=0.371484 | |
| INFO:root:Epoch[3] Batch [3650] Speed: 265.59 samples/sec Train-top_k_accuracy_5=0.618281 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 271.73 samples/sec Train-accuracy=0.366563 | |
| INFO:root:Epoch[3] Batch [3700] Speed: 271.73 samples/sec Train-top_k_accuracy_5=0.618594 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 272.11 samples/sec Train-accuracy=0.371172 | |
| INFO:root:Epoch[3] Batch [3750] Speed: 272.11 samples/sec Train-top_k_accuracy_5=0.621875 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 261.82 samples/sec Train-accuracy=0.368906 | |
| INFO:root:Epoch[3] Batch [3800] Speed: 261.82 samples/sec Train-top_k_accuracy_5=0.620859 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 253.57 samples/sec Train-accuracy=0.368359 | |
| INFO:root:Epoch[3] Batch [3850] Speed: 253.57 samples/sec Train-top_k_accuracy_5=0.618359 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 268.70 samples/sec Train-accuracy=0.385937 | |
| INFO:root:Epoch[3] Batch [3900] Speed: 268.70 samples/sec Train-top_k_accuracy_5=0.629687 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 250.00 samples/sec Train-accuracy=0.364531 | |
| INFO:root:Epoch[3] Batch [3950] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.619609 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 255.63 samples/sec Train-accuracy=0.368672 | |
| INFO:root:Epoch[3] Batch [4000] Speed: 255.63 samples/sec Train-top_k_accuracy_5=0.620469 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 252.43 samples/sec Train-accuracy=0.370547 | |
| INFO:root:Epoch[3] Batch [4050] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.622109 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 261.37 samples/sec Train-accuracy=0.363750 | |
| INFO:root:Epoch[3] Batch [4100] Speed: 261.37 samples/sec Train-top_k_accuracy_5=0.618984 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 257.81 samples/sec Train-accuracy=0.377344 | |
| INFO:root:Epoch[3] Batch [4150] Speed: 257.81 samples/sec Train-top_k_accuracy_5=0.634766 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 255.14 samples/sec Train-accuracy=0.371484 | |
| INFO:root:Epoch[3] Batch [4200] Speed: 255.14 samples/sec Train-top_k_accuracy_5=0.622891 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 261.56 samples/sec Train-accuracy=0.377891 | |
| INFO:root:Epoch[3] Batch [4250] Speed: 261.56 samples/sec Train-top_k_accuracy_5=0.627578 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 261.70 samples/sec Train-accuracy=0.373437 | |
| INFO:root:Epoch[3] Batch [4300] Speed: 261.70 samples/sec Train-top_k_accuracy_5=0.626953 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 257.87 samples/sec Train-accuracy=0.368125 | |
| INFO:root:Epoch[3] Batch [4350] Speed: 257.87 samples/sec Train-top_k_accuracy_5=0.622891 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 249.52 samples/sec Train-accuracy=0.375156 | |
| INFO:root:Epoch[3] Batch [4400] Speed: 249.52 samples/sec Train-top_k_accuracy_5=0.627188 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 251.53 samples/sec Train-accuracy=0.377109 | |
| INFO:root:Epoch[3] Batch [4450] Speed: 251.53 samples/sec Train-top_k_accuracy_5=0.629687 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 245.61 samples/sec Train-accuracy=0.376250 | |
| INFO:root:Epoch[3] Batch [4500] Speed: 245.61 samples/sec Train-top_k_accuracy_5=0.625703 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 242.60 samples/sec Train-accuracy=0.379844 | |
| INFO:root:Epoch[3] Batch [4550] Speed: 242.60 samples/sec Train-top_k_accuracy_5=0.635312 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 255.18 samples/sec Train-accuracy=0.375312 | |
| INFO:root:Epoch[3] Batch [4600] Speed: 255.18 samples/sec Train-top_k_accuracy_5=0.631328 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 247.35 samples/sec Train-accuracy=0.369766 | |
| INFO:root:Epoch[3] Batch [4650] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.623750 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 266.78 samples/sec Train-accuracy=0.372656 | |
| INFO:root:Epoch[3] Batch [4700] Speed: 266.78 samples/sec Train-top_k_accuracy_5=0.621797 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 265.97 samples/sec Train-accuracy=0.371484 | |
| INFO:root:Epoch[3] Batch [4750] Speed: 265.97 samples/sec Train-top_k_accuracy_5=0.619297 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 269.12 samples/sec Train-accuracy=0.377500 | |
| INFO:root:Epoch[3] Batch [4800] Speed: 269.12 samples/sec Train-top_k_accuracy_5=0.625859 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 256.12 samples/sec Train-accuracy=0.371875 | |
| INFO:root:Epoch[3] Batch [4850] Speed: 256.12 samples/sec Train-top_k_accuracy_5=0.622578 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 254.58 samples/sec Train-accuracy=0.376172 | |
| INFO:root:Epoch[3] Batch [4900] Speed: 254.58 samples/sec Train-top_k_accuracy_5=0.629609 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 252.39 samples/sec Train-accuracy=0.374766 | |
| INFO:root:Epoch[3] Batch [4950] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.625938 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 251.69 samples/sec Train-accuracy=0.385000 | |
| INFO:root:Epoch[3] Batch [5000] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.634922 | |
| INFO:root:Epoch[3] Resetting Data Iterator | |
| INFO:root:Epoch[3] Time cost=4959.143 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0004.params" | |
| INFO:root:Epoch[3] Validation-accuracy=0.415677 | |
| INFO:root:Epoch[3] Validation-top_k_accuracy_5=0.687879 | |
| INFO:root:Epoch[4] Batch [50] Speed: 285.21 samples/sec Train-accuracy=0.386406 | |
| INFO:root:Epoch[4] Batch [50] Speed: 285.21 samples/sec Train-top_k_accuracy_5=0.633828 | |
| INFO:root:Epoch[4] Batch [100] Speed: 276.50 samples/sec Train-accuracy=0.379297 | |
| INFO:root:Epoch[4] Batch [100] Speed: 276.50 samples/sec Train-top_k_accuracy_5=0.626641 | |
| INFO:root:Epoch[4] Batch [150] Speed: 277.82 samples/sec Train-accuracy=0.370547 | |
| INFO:root:Epoch[4] Batch [150] Speed: 277.82 samples/sec Train-top_k_accuracy_5=0.629609 | |
| INFO:root:Epoch[4] Batch [200] Speed: 277.00 samples/sec Train-accuracy=0.372734 | |
| INFO:root:Epoch[4] Batch [200] Speed: 277.00 samples/sec Train-top_k_accuracy_5=0.628281 | |
| INFO:root:Epoch[4] Batch [250] Speed: 277.93 samples/sec Train-accuracy=0.375625 | |
| INFO:root:Epoch[4] Batch [250] Speed: 277.93 samples/sec Train-top_k_accuracy_5=0.631641 | |
| INFO:root:Epoch[4] Batch [300] Speed: 276.21 samples/sec Train-accuracy=0.376797 | |
| INFO:root:Epoch[4] Batch [300] Speed: 276.21 samples/sec Train-top_k_accuracy_5=0.628906 | |
| INFO:root:Epoch[4] Batch [350] Speed: 278.77 samples/sec Train-accuracy=0.378047 | |
| INFO:root:Epoch[4] Batch [350] Speed: 278.77 samples/sec Train-top_k_accuracy_5=0.632969 | |
| INFO:root:Epoch[4] Batch [400] Speed: 280.64 samples/sec Train-accuracy=0.379141 | |
| INFO:root:Epoch[4] Batch [400] Speed: 280.64 samples/sec Train-top_k_accuracy_5=0.636250 | |
| INFO:root:Epoch[4] Batch [450] Speed: 280.70 samples/sec Train-accuracy=0.377734 | |
| INFO:root:Epoch[4] Batch [450] Speed: 280.70 samples/sec Train-top_k_accuracy_5=0.637969 | |
| INFO:root:Epoch[4] Batch [500] Speed: 270.89 samples/sec Train-accuracy=0.382969 | |
| INFO:root:Epoch[4] Batch [500] Speed: 270.89 samples/sec Train-top_k_accuracy_5=0.632344 | |
| INFO:root:Epoch[4] Batch [550] Speed: 272.49 samples/sec Train-accuracy=0.377578 | |
| INFO:root:Epoch[4] Batch [550] Speed: 272.49 samples/sec Train-top_k_accuracy_5=0.635078 | |
| INFO:root:Epoch[4] Batch [600] Speed: 277.44 samples/sec Train-accuracy=0.374063 | |
| INFO:root:Epoch[4] Batch [600] Speed: 277.44 samples/sec Train-top_k_accuracy_5=0.627422 | |
| INFO:root:Epoch[4] Batch [650] Speed: 268.38 samples/sec Train-accuracy=0.374531 | |
| INFO:root:Epoch[4] Batch [650] Speed: 268.38 samples/sec Train-top_k_accuracy_5=0.635469 | |
| INFO:root:Epoch[4] Batch [700] Speed: 269.89 samples/sec Train-accuracy=0.378828 | |
| INFO:root:Epoch[4] Batch [700] Speed: 269.89 samples/sec Train-top_k_accuracy_5=0.637813 | |
| INFO:root:Epoch[4] Batch [750] Speed: 269.18 samples/sec Train-accuracy=0.382891 | |
| INFO:root:Epoch[4] Batch [750] Speed: 269.18 samples/sec Train-top_k_accuracy_5=0.630938 | |
| INFO:root:Epoch[4] Batch [800] Speed: 270.02 samples/sec Train-accuracy=0.382891 | |
| INFO:root:Epoch[4] Batch [800] Speed: 270.02 samples/sec Train-top_k_accuracy_5=0.632578 | |
| INFO:root:Epoch[4] Batch [850] Speed: 262.19 samples/sec Train-accuracy=0.376328 | |
| INFO:root:Epoch[4] Batch [850] Speed: 262.19 samples/sec Train-top_k_accuracy_5=0.626719 | |
| INFO:root:Epoch[4] Batch [900] Speed: 268.73 samples/sec Train-accuracy=0.384141 | |
| INFO:root:Epoch[4] Batch [900] Speed: 268.73 samples/sec Train-top_k_accuracy_5=0.637031 | |
| INFO:root:Epoch[4] Batch [950] Speed: 259.16 samples/sec Train-accuracy=0.380625 | |
| INFO:root:Epoch[4] Batch [950] Speed: 259.16 samples/sec Train-top_k_accuracy_5=0.634766 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 265.46 samples/sec Train-accuracy=0.386328 | |
| INFO:root:Epoch[4] Batch [1000] Speed: 265.46 samples/sec Train-top_k_accuracy_5=0.641328 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 272.96 samples/sec Train-accuracy=0.384062 | |
| INFO:root:Epoch[4] Batch [1050] Speed: 272.96 samples/sec Train-top_k_accuracy_5=0.637344 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 264.77 samples/sec Train-accuracy=0.392109 | |
| INFO:root:Epoch[4] Batch [1100] Speed: 264.77 samples/sec Train-top_k_accuracy_5=0.646016 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 273.16 samples/sec Train-accuracy=0.382969 | |
| INFO:root:Epoch[4] Batch [1150] Speed: 273.16 samples/sec Train-top_k_accuracy_5=0.633516 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 270.54 samples/sec Train-accuracy=0.388047 | |
| INFO:root:Epoch[4] Batch [1200] Speed: 270.54 samples/sec Train-top_k_accuracy_5=0.637969 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 274.07 samples/sec Train-accuracy=0.379219 | |
| INFO:root:Epoch[4] Batch [1250] Speed: 274.07 samples/sec Train-top_k_accuracy_5=0.638125 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 258.68 samples/sec Train-accuracy=0.387734 | |
| INFO:root:Epoch[4] Batch [1300] Speed: 258.68 samples/sec Train-top_k_accuracy_5=0.637422 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 252.62 samples/sec Train-accuracy=0.385234 | |
| INFO:root:Epoch[4] Batch [1350] Speed: 252.62 samples/sec Train-top_k_accuracy_5=0.639531 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 249.70 samples/sec Train-accuracy=0.388516 | |
| INFO:root:Epoch[4] Batch [1400] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.643750 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 269.16 samples/sec Train-accuracy=0.388672 | |
| INFO:root:Epoch[4] Batch [1450] Speed: 269.16 samples/sec Train-top_k_accuracy_5=0.647188 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 262.44 samples/sec Train-accuracy=0.379453 | |
| INFO:root:Epoch[4] Batch [1500] Speed: 262.44 samples/sec Train-top_k_accuracy_5=0.639219 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 267.04 samples/sec Train-accuracy=0.395781 | |
| INFO:root:Epoch[4] Batch [1550] Speed: 267.04 samples/sec Train-top_k_accuracy_5=0.645938 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 269.49 samples/sec Train-accuracy=0.387500 | |
| INFO:root:Epoch[4] Batch [1600] Speed: 269.49 samples/sec Train-top_k_accuracy_5=0.635703 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 268.97 samples/sec Train-accuracy=0.390859 | |
| INFO:root:Epoch[4] Batch [1650] Speed: 268.97 samples/sec Train-top_k_accuracy_5=0.638281 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 254.85 samples/sec Train-accuracy=0.380937 | |
| INFO:root:Epoch[4] Batch [1700] Speed: 254.85 samples/sec Train-top_k_accuracy_5=0.633750 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 257.27 samples/sec Train-accuracy=0.397109 | |
| INFO:root:Epoch[4] Batch [1750] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.648594 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 247.55 samples/sec Train-accuracy=0.389375 | |
| INFO:root:Epoch[4] Batch [1800] Speed: 247.55 samples/sec Train-top_k_accuracy_5=0.637422 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 252.44 samples/sec Train-accuracy=0.397188 | |
| INFO:root:Epoch[4] Batch [1850] Speed: 252.44 samples/sec Train-top_k_accuracy_5=0.645625 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 270.68 samples/sec Train-accuracy=0.389609 | |
| INFO:root:Epoch[4] Batch [1900] Speed: 270.68 samples/sec Train-top_k_accuracy_5=0.643984 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 264.96 samples/sec Train-accuracy=0.393203 | |
| INFO:root:Epoch[4] Batch [1950] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.646484 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 274.65 samples/sec Train-accuracy=0.388359 | |
| INFO:root:Epoch[4] Batch [2000] Speed: 274.65 samples/sec Train-top_k_accuracy_5=0.644141 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 256.26 samples/sec Train-accuracy=0.389922 | |
| INFO:root:Epoch[4] Batch [2050] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.645234 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 249.56 samples/sec Train-accuracy=0.395313 | |
| INFO:root:Epoch[4] Batch [2100] Speed: 249.56 samples/sec Train-top_k_accuracy_5=0.648047 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 252.76 samples/sec Train-accuracy=0.392266 | |
| INFO:root:Epoch[4] Batch [2150] Speed: 252.76 samples/sec Train-top_k_accuracy_5=0.646250 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 265.40 samples/sec Train-accuracy=0.395391 | |
| INFO:root:Epoch[4] Batch [2200] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.641719 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 263.62 samples/sec Train-accuracy=0.388750 | |
| INFO:root:Epoch[4] Batch [2250] Speed: 263.62 samples/sec Train-top_k_accuracy_5=0.637734 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 258.58 samples/sec Train-accuracy=0.389531 | |
| INFO:root:Epoch[4] Batch [2300] Speed: 258.58 samples/sec Train-top_k_accuracy_5=0.639531 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 251.50 samples/sec Train-accuracy=0.391875 | |
| INFO:root:Epoch[4] Batch [2350] Speed: 251.50 samples/sec Train-top_k_accuracy_5=0.640859 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 250.18 samples/sec Train-accuracy=0.390937 | |
| INFO:root:Epoch[4] Batch [2400] Speed: 250.18 samples/sec Train-top_k_accuracy_5=0.640391 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 263.53 samples/sec Train-accuracy=0.389297 | |
| INFO:root:Epoch[4] Batch [2450] Speed: 263.53 samples/sec Train-top_k_accuracy_5=0.638047 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 262.09 samples/sec Train-accuracy=0.391719 | |
| INFO:root:Epoch[4] Batch [2500] Speed: 262.09 samples/sec Train-top_k_accuracy_5=0.640703 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 268.20 samples/sec Train-accuracy=0.395000 | |
| INFO:root:Epoch[4] Batch [2550] Speed: 268.20 samples/sec Train-top_k_accuracy_5=0.653750 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 259.10 samples/sec Train-accuracy=0.388594 | |
| INFO:root:Epoch[4] Batch [2600] Speed: 259.10 samples/sec Train-top_k_accuracy_5=0.640938 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 266.80 samples/sec Train-accuracy=0.389531 | |
| INFO:root:Epoch[4] Batch [2650] Speed: 266.80 samples/sec Train-top_k_accuracy_5=0.647422 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 259.83 samples/sec Train-accuracy=0.392422 | |
| INFO:root:Epoch[4] Batch [2700] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.649844 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 271.74 samples/sec Train-accuracy=0.396641 | |
| INFO:root:Epoch[4] Batch [2750] Speed: 271.74 samples/sec Train-top_k_accuracy_5=0.651641 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 273.26 samples/sec Train-accuracy=0.398125 | |
| INFO:root:Epoch[4] Batch [2800] Speed: 273.26 samples/sec Train-top_k_accuracy_5=0.646563 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 271.51 samples/sec Train-accuracy=0.395313 | |
| INFO:root:Epoch[4] Batch [2850] Speed: 271.51 samples/sec Train-top_k_accuracy_5=0.650312 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 265.91 samples/sec Train-accuracy=0.393359 | |
| INFO:root:Epoch[4] Batch [2900] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.652500 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 275.84 samples/sec Train-accuracy=0.395469 | |
| INFO:root:Epoch[4] Batch [2950] Speed: 275.84 samples/sec Train-top_k_accuracy_5=0.650625 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 266.29 samples/sec Train-accuracy=0.393359 | |
| INFO:root:Epoch[4] Batch [3000] Speed: 266.29 samples/sec Train-top_k_accuracy_5=0.647188 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 264.17 samples/sec Train-accuracy=0.395469 | |
| INFO:root:Epoch[4] Batch [3050] Speed: 264.17 samples/sec Train-top_k_accuracy_5=0.648672 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 277.23 samples/sec Train-accuracy=0.397813 | |
| INFO:root:Epoch[4] Batch [3100] Speed: 277.23 samples/sec Train-top_k_accuracy_5=0.646484 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 263.48 samples/sec Train-accuracy=0.393281 | |
| INFO:root:Epoch[4] Batch [3150] Speed: 263.48 samples/sec Train-top_k_accuracy_5=0.644219 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 269.46 samples/sec Train-accuracy=0.397188 | |
| INFO:root:Epoch[4] Batch [3200] Speed: 269.46 samples/sec Train-top_k_accuracy_5=0.650000 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 268.73 samples/sec Train-accuracy=0.390391 | |
| INFO:root:Epoch[4] Batch [3250] Speed: 268.73 samples/sec Train-top_k_accuracy_5=0.649844 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 244.28 samples/sec Train-accuracy=0.397578 | |
| INFO:root:Epoch[4] Batch [3300] Speed: 244.28 samples/sec Train-top_k_accuracy_5=0.652813 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 242.37 samples/sec Train-accuracy=0.395547 | |
| INFO:root:Epoch[4] Batch [3350] Speed: 242.37 samples/sec Train-top_k_accuracy_5=0.646563 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 244.13 samples/sec Train-accuracy=0.398828 | |
| INFO:root:Epoch[4] Batch [3400] Speed: 244.13 samples/sec Train-top_k_accuracy_5=0.647344 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 256.85 samples/sec Train-accuracy=0.398516 | |
| INFO:root:Epoch[4] Batch [3450] Speed: 256.85 samples/sec Train-top_k_accuracy_5=0.647891 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 255.19 samples/sec Train-accuracy=0.404375 | |
| INFO:root:Epoch[4] Batch [3500] Speed: 255.19 samples/sec Train-top_k_accuracy_5=0.654141 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 252.49 samples/sec Train-accuracy=0.399375 | |
| INFO:root:Epoch[4] Batch [3550] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.654609 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 265.21 samples/sec Train-accuracy=0.403828 | |
| INFO:root:Epoch[4] Batch [3600] Speed: 265.21 samples/sec Train-top_k_accuracy_5=0.654922 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 273.07 samples/sec Train-accuracy=0.403203 | |
| INFO:root:Epoch[4] Batch [3650] Speed: 273.07 samples/sec Train-top_k_accuracy_5=0.657578 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 263.95 samples/sec Train-accuracy=0.399844 | |
| INFO:root:Epoch[4] Batch [3700] Speed: 263.95 samples/sec Train-top_k_accuracy_5=0.649766 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 269.43 samples/sec Train-accuracy=0.398672 | |
| INFO:root:Epoch[4] Batch [3750] Speed: 269.43 samples/sec Train-top_k_accuracy_5=0.651094 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 268.20 samples/sec Train-accuracy=0.397891 | |
| INFO:root:Epoch[4] Batch [3800] Speed: 268.20 samples/sec Train-top_k_accuracy_5=0.647578 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 268.24 samples/sec Train-accuracy=0.402813 | |
| INFO:root:Epoch[4] Batch [3850] Speed: 268.24 samples/sec Train-top_k_accuracy_5=0.657969 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 258.47 samples/sec Train-accuracy=0.406094 | |
| INFO:root:Epoch[4] Batch [3900] Speed: 258.47 samples/sec Train-top_k_accuracy_5=0.662344 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 251.74 samples/sec Train-accuracy=0.393594 | |
| INFO:root:Epoch[4] Batch [3950] Speed: 251.74 samples/sec Train-top_k_accuracy_5=0.647109 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 252.07 samples/sec Train-accuracy=0.396719 | |
| INFO:root:Epoch[4] Batch [4000] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.652813 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 257.62 samples/sec Train-accuracy=0.401797 | |
| INFO:root:Epoch[4] Batch [4050] Speed: 257.62 samples/sec Train-top_k_accuracy_5=0.655234 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 260.21 samples/sec Train-accuracy=0.399609 | |
| INFO:root:Epoch[4] Batch [4100] Speed: 260.21 samples/sec Train-top_k_accuracy_5=0.658438 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 249.41 samples/sec Train-accuracy=0.405391 | |
| INFO:root:Epoch[4] Batch [4150] Speed: 249.41 samples/sec Train-top_k_accuracy_5=0.661016 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 258.10 samples/sec Train-accuracy=0.407344 | |
| INFO:root:Epoch[4] Batch [4200] Speed: 258.10 samples/sec Train-top_k_accuracy_5=0.656406 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 266.26 samples/sec Train-accuracy=0.403047 | |
| INFO:root:Epoch[4] Batch [4250] Speed: 266.26 samples/sec Train-top_k_accuracy_5=0.656953 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 262.27 samples/sec Train-accuracy=0.403828 | |
| INFO:root:Epoch[4] Batch [4300] Speed: 262.27 samples/sec Train-top_k_accuracy_5=0.655312 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 270.59 samples/sec Train-accuracy=0.400703 | |
| INFO:root:Epoch[4] Batch [4350] Speed: 270.59 samples/sec Train-top_k_accuracy_5=0.654375 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 256.26 samples/sec Train-accuracy=0.402734 | |
| INFO:root:Epoch[4] Batch [4400] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.661875 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 259.99 samples/sec Train-accuracy=0.394922 | |
| INFO:root:Epoch[4] Batch [4450] Speed: 259.99 samples/sec Train-top_k_accuracy_5=0.651953 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 267.56 samples/sec Train-accuracy=0.396641 | |
| INFO:root:Epoch[4] Batch [4500] Speed: 267.56 samples/sec Train-top_k_accuracy_5=0.649687 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 263.21 samples/sec Train-accuracy=0.410156 | |
| INFO:root:Epoch[4] Batch [4550] Speed: 263.21 samples/sec Train-top_k_accuracy_5=0.655625 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 267.19 samples/sec Train-accuracy=0.409219 | |
| INFO:root:Epoch[4] Batch [4600] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.660078 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 274.07 samples/sec Train-accuracy=0.399453 | |
| INFO:root:Epoch[4] Batch [4650] Speed: 274.07 samples/sec Train-top_k_accuracy_5=0.652500 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 267.99 samples/sec Train-accuracy=0.406641 | |
| INFO:root:Epoch[4] Batch [4700] Speed: 267.99 samples/sec Train-top_k_accuracy_5=0.662656 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 271.20 samples/sec Train-accuracy=0.399844 | |
| INFO:root:Epoch[4] Batch [4750] Speed: 271.20 samples/sec Train-top_k_accuracy_5=0.651250 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 271.49 samples/sec Train-accuracy=0.401016 | |
| INFO:root:Epoch[4] Batch [4800] Speed: 271.49 samples/sec Train-top_k_accuracy_5=0.649141 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 275.57 samples/sec Train-accuracy=0.398828 | |
| INFO:root:Epoch[4] Batch [4850] Speed: 275.57 samples/sec Train-top_k_accuracy_5=0.651094 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 278.28 samples/sec Train-accuracy=0.399453 | |
| INFO:root:Epoch[4] Batch [4900] Speed: 278.28 samples/sec Train-top_k_accuracy_5=0.654062 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 278.13 samples/sec Train-accuracy=0.395469 | |
| INFO:root:Epoch[4] Batch [4950] Speed: 278.13 samples/sec Train-top_k_accuracy_5=0.650781 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 275.38 samples/sec Train-accuracy=0.401641 | |
| INFO:root:Epoch[4] Batch [5000] Speed: 275.38 samples/sec Train-top_k_accuracy_5=0.655859 | |
| INFO:root:Epoch[4] Resetting Data Iterator | |
| INFO:root:Epoch[4] Time cost=4834.538 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0005.params" | |
| INFO:root:Epoch[4] Validation-accuracy=0.448780 | |
| INFO:root:Epoch[4] Validation-top_k_accuracy_5=0.715222 | |
| INFO:root:Epoch[5] Batch [50] Speed: 284.49 samples/sec Train-accuracy=0.415547 | |
| INFO:root:Epoch[5] Batch [50] Speed: 284.49 samples/sec Train-top_k_accuracy_5=0.669063 | |
| INFO:root:Epoch[5] Batch [100] Speed: 276.88 samples/sec Train-accuracy=0.404062 | |
| INFO:root:Epoch[5] Batch [100] Speed: 276.88 samples/sec Train-top_k_accuracy_5=0.653906 | |
| INFO:root:Epoch[5] Batch [150] Speed: 276.87 samples/sec Train-accuracy=0.400625 | |
| INFO:root:Epoch[5] Batch [150] Speed: 276.87 samples/sec Train-top_k_accuracy_5=0.655859 | |
| INFO:root:Epoch[5] Batch [200] Speed: 276.86 samples/sec Train-accuracy=0.400781 | |
| INFO:root:Epoch[5] Batch [200] Speed: 276.86 samples/sec Train-top_k_accuracy_5=0.657969 | |
| INFO:root:Epoch[5] Batch [250] Speed: 278.71 samples/sec Train-accuracy=0.406250 | |
| INFO:root:Epoch[5] Batch [250] Speed: 278.71 samples/sec Train-top_k_accuracy_5=0.658984 | |
| INFO:root:Epoch[5] Batch [300] Speed: 279.26 samples/sec Train-accuracy=0.407422 | |
| INFO:root:Epoch[5] Batch [300] Speed: 279.26 samples/sec Train-top_k_accuracy_5=0.660234 | |
| INFO:root:Epoch[5] Batch [350] Speed: 265.18 samples/sec Train-accuracy=0.410313 | |
| INFO:root:Epoch[5] Batch [350] Speed: 265.18 samples/sec Train-top_k_accuracy_5=0.665000 | |
| INFO:root:Epoch[5] Batch [400] Speed: 271.06 samples/sec Train-accuracy=0.408438 | |
| INFO:root:Epoch[5] Batch [400] Speed: 271.06 samples/sec Train-top_k_accuracy_5=0.665703 | |
| INFO:root:Epoch[5] Batch [450] Speed: 261.41 samples/sec Train-accuracy=0.402109 | |
| INFO:root:Epoch[5] Batch [450] Speed: 261.41 samples/sec Train-top_k_accuracy_5=0.659297 | |
| INFO:root:Epoch[5] Batch [500] Speed: 269.43 samples/sec Train-accuracy=0.405781 | |
| INFO:root:Epoch[5] Batch [500] Speed: 269.43 samples/sec Train-top_k_accuracy_5=0.661719 | |
| INFO:root:Epoch[5] Batch [550] Speed: 263.50 samples/sec Train-accuracy=0.409141 | |
| INFO:root:Epoch[5] Batch [550] Speed: 263.50 samples/sec Train-top_k_accuracy_5=0.660859 | |
| INFO:root:Epoch[5] Batch [600] Speed: 270.56 samples/sec Train-accuracy=0.396094 | |
| INFO:root:Epoch[5] Batch [600] Speed: 270.56 samples/sec Train-top_k_accuracy_5=0.654922 | |
| INFO:root:Epoch[5] Batch [650] Speed: 275.95 samples/sec Train-accuracy=0.408438 | |
| INFO:root:Epoch[5] Batch [650] Speed: 275.95 samples/sec Train-top_k_accuracy_5=0.663281 | |
| INFO:root:Epoch[5] Batch [700] Speed: 265.95 samples/sec Train-accuracy=0.405625 | |
| INFO:root:Epoch[5] Batch [700] Speed: 265.95 samples/sec Train-top_k_accuracy_5=0.659375 | |
| INFO:root:Epoch[5] Batch [750] Speed: 263.14 samples/sec Train-accuracy=0.412344 | |
| INFO:root:Epoch[5] Batch [750] Speed: 263.14 samples/sec Train-top_k_accuracy_5=0.665547 | |
| INFO:root:Epoch[5] Batch [800] Speed: 266.06 samples/sec Train-accuracy=0.403438 | |
| INFO:root:Epoch[5] Batch [800] Speed: 266.06 samples/sec Train-top_k_accuracy_5=0.658594 | |
| INFO:root:Epoch[5] Batch [850] Speed: 261.43 samples/sec Train-accuracy=0.400938 | |
| INFO:root:Epoch[5] Batch [850] Speed: 261.43 samples/sec Train-top_k_accuracy_5=0.656797 | |
| INFO:root:Epoch[5] Batch [900] Speed: 267.83 samples/sec Train-accuracy=0.411953 | |
| INFO:root:Epoch[5] Batch [900] Speed: 267.83 samples/sec Train-top_k_accuracy_5=0.663281 | |
| INFO:root:Epoch[5] Batch [950] Speed: 260.94 samples/sec Train-accuracy=0.411641 | |
| INFO:root:Epoch[5] Batch [950] Speed: 260.94 samples/sec Train-top_k_accuracy_5=0.663203 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 255.10 samples/sec Train-accuracy=0.403516 | |
| INFO:root:Epoch[5] Batch [1000] Speed: 255.10 samples/sec Train-top_k_accuracy_5=0.657344 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 256.42 samples/sec Train-accuracy=0.407422 | |
| INFO:root:Epoch[5] Batch [1050] Speed: 256.42 samples/sec Train-top_k_accuracy_5=0.660391 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 263.05 samples/sec Train-accuracy=0.418047 | |
| INFO:root:Epoch[5] Batch [1100] Speed: 263.05 samples/sec Train-top_k_accuracy_5=0.666250 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 273.05 samples/sec Train-accuracy=0.406328 | |
| INFO:root:Epoch[5] Batch [1150] Speed: 273.05 samples/sec Train-top_k_accuracy_5=0.662578 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 261.77 samples/sec Train-accuracy=0.408047 | |
| INFO:root:Epoch[5] Batch [1200] Speed: 261.77 samples/sec Train-top_k_accuracy_5=0.659609 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 264.26 samples/sec Train-accuracy=0.409687 | |
| INFO:root:Epoch[5] Batch [1250] Speed: 264.26 samples/sec Train-top_k_accuracy_5=0.663125 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 270.50 samples/sec Train-accuracy=0.409297 | |
| INFO:root:Epoch[5] Batch [1300] Speed: 270.50 samples/sec Train-top_k_accuracy_5=0.659609 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 270.73 samples/sec Train-accuracy=0.416484 | |
| INFO:root:Epoch[5] Batch [1350] Speed: 270.73 samples/sec Train-top_k_accuracy_5=0.668281 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 261.28 samples/sec Train-accuracy=0.419141 | |
| INFO:root:Epoch[5] Batch [1400] Speed: 261.28 samples/sec Train-top_k_accuracy_5=0.667500 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 261.29 samples/sec Train-accuracy=0.412187 | |
| INFO:root:Epoch[5] Batch [1450] Speed: 261.29 samples/sec Train-top_k_accuracy_5=0.666797 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 259.59 samples/sec Train-accuracy=0.408359 | |
| INFO:root:Epoch[5] Batch [1500] Speed: 259.59 samples/sec Train-top_k_accuracy_5=0.665625 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 260.41 samples/sec Train-accuracy=0.419219 | |
| INFO:root:Epoch[5] Batch [1550] Speed: 260.41 samples/sec Train-top_k_accuracy_5=0.666016 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 263.20 samples/sec Train-accuracy=0.408672 | |
| INFO:root:Epoch[5] Batch [1600] Speed: 263.20 samples/sec Train-top_k_accuracy_5=0.666875 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 260.12 samples/sec Train-accuracy=0.417891 | |
| INFO:root:Epoch[5] Batch [1650] Speed: 260.12 samples/sec Train-top_k_accuracy_5=0.665000 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 245.09 samples/sec Train-accuracy=0.403594 | |
| INFO:root:Epoch[5] Batch [1700] Speed: 245.09 samples/sec Train-top_k_accuracy_5=0.663906 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 248.03 samples/sec Train-accuracy=0.410625 | |
| INFO:root:Epoch[5] Batch [1750] Speed: 248.03 samples/sec Train-top_k_accuracy_5=0.661016 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 260.97 samples/sec Train-accuracy=0.417656 | |
| INFO:root:Epoch[5] Batch [1800] Speed: 260.97 samples/sec Train-top_k_accuracy_5=0.671641 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 265.38 samples/sec Train-accuracy=0.413203 | |
| INFO:root:Epoch[5] Batch [1850] Speed: 265.38 samples/sec Train-top_k_accuracy_5=0.664219 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 260.86 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[5] Batch [1900] Speed: 260.86 samples/sec Train-top_k_accuracy_5=0.665859 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 268.21 samples/sec Train-accuracy=0.412344 | |
| INFO:root:Epoch[5] Batch [1950] Speed: 268.21 samples/sec Train-top_k_accuracy_5=0.663594 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 269.05 samples/sec Train-accuracy=0.415781 | |
| INFO:root:Epoch[5] Batch [2000] Speed: 269.05 samples/sec Train-top_k_accuracy_5=0.663125 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 247.63 samples/sec Train-accuracy=0.415469 | |
| INFO:root:Epoch[5] Batch [2050] Speed: 247.63 samples/sec Train-top_k_accuracy_5=0.664297 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 259.18 samples/sec Train-accuracy=0.407422 | |
| INFO:root:Epoch[5] Batch [2100] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.664922 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 264.99 samples/sec Train-accuracy=0.417500 | |
| INFO:root:Epoch[5] Batch [2150] Speed: 264.99 samples/sec Train-top_k_accuracy_5=0.671719 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 272.98 samples/sec Train-accuracy=0.417422 | |
| INFO:root:Epoch[5] Batch [2200] Speed: 272.98 samples/sec Train-top_k_accuracy_5=0.670547 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 265.20 samples/sec Train-accuracy=0.418438 | |
| INFO:root:Epoch[5] Batch [2250] Speed: 265.20 samples/sec Train-top_k_accuracy_5=0.670156 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 268.61 samples/sec Train-accuracy=0.411562 | |
| INFO:root:Epoch[5] Batch [2300] Speed: 268.61 samples/sec Train-top_k_accuracy_5=0.661641 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 242.83 samples/sec Train-accuracy=0.406016 | |
| INFO:root:Epoch[5] Batch [2350] Speed: 242.83 samples/sec Train-top_k_accuracy_5=0.667500 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 259.51 samples/sec Train-accuracy=0.411484 | |
| INFO:root:Epoch[5] Batch [2400] Speed: 259.51 samples/sec Train-top_k_accuracy_5=0.661328 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 264.81 samples/sec Train-accuracy=0.419297 | |
| INFO:root:Epoch[5] Batch [2450] Speed: 264.81 samples/sec Train-top_k_accuracy_5=0.663984 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 253.31 samples/sec Train-accuracy=0.416094 | |
| INFO:root:Epoch[5] Batch [2500] Speed: 253.31 samples/sec Train-top_k_accuracy_5=0.668984 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 260.83 samples/sec Train-accuracy=0.409219 | |
| INFO:root:Epoch[5] Batch [2550] Speed: 260.83 samples/sec Train-top_k_accuracy_5=0.667891 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 261.41 samples/sec Train-accuracy=0.406328 | |
| INFO:root:Epoch[5] Batch [2600] Speed: 261.41 samples/sec Train-top_k_accuracy_5=0.664375 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 242.73 samples/sec Train-accuracy=0.420703 | |
| INFO:root:Epoch[5] Batch [2650] Speed: 242.73 samples/sec Train-top_k_accuracy_5=0.676250 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 263.66 samples/sec Train-accuracy=0.413203 | |
| INFO:root:Epoch[5] Batch [2700] Speed: 263.66 samples/sec Train-top_k_accuracy_5=0.667500 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 268.95 samples/sec Train-accuracy=0.424141 | |
| INFO:root:Epoch[5] Batch [2750] Speed: 268.95 samples/sec Train-top_k_accuracy_5=0.669453 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 271.21 samples/sec Train-accuracy=0.422344 | |
| INFO:root:Epoch[5] Batch [2800] Speed: 271.21 samples/sec Train-top_k_accuracy_5=0.673516 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 267.25 samples/sec Train-accuracy=0.419063 | |
| INFO:root:Epoch[5] Batch [2850] Speed: 267.25 samples/sec Train-top_k_accuracy_5=0.670391 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 265.43 samples/sec Train-accuracy=0.419375 | |
| INFO:root:Epoch[5] Batch [2900] Speed: 265.43 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 269.11 samples/sec Train-accuracy=0.422266 | |
| INFO:root:Epoch[5] Batch [2950] Speed: 269.11 samples/sec Train-top_k_accuracy_5=0.671797 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 264.72 samples/sec Train-accuracy=0.418828 | |
| INFO:root:Epoch[5] Batch [3000] Speed: 264.72 samples/sec Train-top_k_accuracy_5=0.666016 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 270.67 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[5] Batch [3050] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.667578 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 260.80 samples/sec Train-accuracy=0.420469 | |
| INFO:root:Epoch[5] Batch [3100] Speed: 260.80 samples/sec Train-top_k_accuracy_5=0.676250 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 258.43 samples/sec Train-accuracy=0.416406 | |
| INFO:root:Epoch[5] Batch [3150] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.668906 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 263.09 samples/sec Train-accuracy=0.426094 | |
| INFO:root:Epoch[5] Batch [3200] Speed: 263.09 samples/sec Train-top_k_accuracy_5=0.677656 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 264.36 samples/sec Train-accuracy=0.406641 | |
| INFO:root:Epoch[5] Batch [3250] Speed: 264.36 samples/sec Train-top_k_accuracy_5=0.666875 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 255.44 samples/sec Train-accuracy=0.411250 | |
| INFO:root:Epoch[5] Batch [3300] Speed: 255.44 samples/sec Train-top_k_accuracy_5=0.670625 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 260.65 samples/sec Train-accuracy=0.410938 | |
| INFO:root:Epoch[5] Batch [3350] Speed: 260.65 samples/sec Train-top_k_accuracy_5=0.662891 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 266.88 samples/sec Train-accuracy=0.424453 | |
| INFO:root:Epoch[5] Batch [3400] Speed: 266.88 samples/sec Train-top_k_accuracy_5=0.680000 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 262.23 samples/sec Train-accuracy=0.408984 | |
| INFO:root:Epoch[5] Batch [3450] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.663281 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 260.84 samples/sec Train-accuracy=0.423750 | |
| INFO:root:Epoch[5] Batch [3500] Speed: 260.84 samples/sec Train-top_k_accuracy_5=0.671094 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 248.90 samples/sec Train-accuracy=0.422266 | |
| INFO:root:Epoch[5] Batch [3550] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.676406 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 265.19 samples/sec Train-accuracy=0.421172 | |
| INFO:root:Epoch[5] Batch [3600] Speed: 265.19 samples/sec Train-top_k_accuracy_5=0.673984 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 267.78 samples/sec Train-accuracy=0.417734 | |
| INFO:root:Epoch[5] Batch [3650] Speed: 267.78 samples/sec Train-top_k_accuracy_5=0.676250 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 266.44 samples/sec Train-accuracy=0.424297 | |
| INFO:root:Epoch[5] Batch [3700] Speed: 266.44 samples/sec Train-top_k_accuracy_5=0.674219 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 266.03 samples/sec Train-accuracy=0.421250 | |
| INFO:root:Epoch[5] Batch [3750] Speed: 266.03 samples/sec Train-top_k_accuracy_5=0.670000 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 265.59 samples/sec Train-accuracy=0.423516 | |
| INFO:root:Epoch[5] Batch [3800] Speed: 265.59 samples/sec Train-top_k_accuracy_5=0.669297 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 249.95 samples/sec Train-accuracy=0.422812 | |
| INFO:root:Epoch[5] Batch [3850] Speed: 249.95 samples/sec Train-top_k_accuracy_5=0.676016 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 260.45 samples/sec Train-accuracy=0.427734 | |
| INFO:root:Epoch[5] Batch [3900] Speed: 260.45 samples/sec Train-top_k_accuracy_5=0.678672 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 269.65 samples/sec Train-accuracy=0.423906 | |
| INFO:root:Epoch[5] Batch [3950] Speed: 269.65 samples/sec Train-top_k_accuracy_5=0.668125 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 267.00 samples/sec Train-accuracy=0.417266 | |
| INFO:root:Epoch[5] Batch [4000] Speed: 267.00 samples/sec Train-top_k_accuracy_5=0.668438 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 266.24 samples/sec Train-accuracy=0.422656 | |
| INFO:root:Epoch[5] Batch [4050] Speed: 266.24 samples/sec Train-top_k_accuracy_5=0.673828 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 257.00 samples/sec Train-accuracy=0.419219 | |
| INFO:root:Epoch[5] Batch [4100] Speed: 257.00 samples/sec Train-top_k_accuracy_5=0.670625 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 256.42 samples/sec Train-accuracy=0.426406 | |
| INFO:root:Epoch[5] Batch [4150] Speed: 256.42 samples/sec Train-top_k_accuracy_5=0.681406 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 255.59 samples/sec Train-accuracy=0.420859 | |
| INFO:root:Epoch[5] Batch [4200] Speed: 255.59 samples/sec Train-top_k_accuracy_5=0.672031 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 257.34 samples/sec Train-accuracy=0.417656 | |
| INFO:root:Epoch[5] Batch [4250] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.674687 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 261.09 samples/sec Train-accuracy=0.422187 | |
| INFO:root:Epoch[5] Batch [4300] Speed: 261.09 samples/sec Train-top_k_accuracy_5=0.676406 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 251.62 samples/sec Train-accuracy=0.416172 | |
| INFO:root:Epoch[5] Batch [4350] Speed: 251.62 samples/sec Train-top_k_accuracy_5=0.669687 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 249.93 samples/sec Train-accuracy=0.415234 | |
| INFO:root:Epoch[5] Batch [4400] Speed: 249.93 samples/sec Train-top_k_accuracy_5=0.674063 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 272.47 samples/sec Train-accuracy=0.419375 | |
| INFO:root:Epoch[5] Batch [4450] Speed: 272.47 samples/sec Train-top_k_accuracy_5=0.671250 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 249.44 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[5] Batch [4500] Speed: 249.44 samples/sec Train-top_k_accuracy_5=0.673594 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 236.28 samples/sec Train-accuracy=0.416328 | |
| INFO:root:Epoch[5] Batch [4550] Speed: 236.28 samples/sec Train-top_k_accuracy_5=0.673672 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 245.25 samples/sec Train-accuracy=0.425078 | |
| INFO:root:Epoch[5] Batch [4600] Speed: 245.25 samples/sec Train-top_k_accuracy_5=0.675859 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 269.33 samples/sec Train-accuracy=0.418203 | |
| INFO:root:Epoch[5] Batch [4650] Speed: 269.33 samples/sec Train-top_k_accuracy_5=0.673984 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 264.12 samples/sec Train-accuracy=0.418594 | |
| INFO:root:Epoch[5] Batch [4700] Speed: 264.12 samples/sec Train-top_k_accuracy_5=0.675000 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 270.41 samples/sec Train-accuracy=0.416875 | |
| INFO:root:Epoch[5] Batch [4750] Speed: 270.41 samples/sec Train-top_k_accuracy_5=0.665937 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 257.70 samples/sec Train-accuracy=0.424922 | |
| INFO:root:Epoch[5] Batch [4800] Speed: 257.70 samples/sec Train-top_k_accuracy_5=0.672734 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 261.11 samples/sec Train-accuracy=0.419766 | |
| INFO:root:Epoch[5] Batch [4850] Speed: 261.11 samples/sec Train-top_k_accuracy_5=0.674297 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 251.74 samples/sec Train-accuracy=0.424844 | |
| INFO:root:Epoch[5] Batch [4900] Speed: 251.74 samples/sec Train-top_k_accuracy_5=0.674219 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 258.50 samples/sec Train-accuracy=0.421953 | |
| INFO:root:Epoch[5] Batch [4950] Speed: 258.50 samples/sec Train-top_k_accuracy_5=0.671250 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 269.29 samples/sec Train-accuracy=0.420078 | |
| INFO:root:Epoch[5] Batch [5000] Speed: 269.29 samples/sec Train-top_k_accuracy_5=0.674766 | |
| INFO:root:Epoch[5] Resetting Data Iterator | |
| INFO:root:Epoch[5] Time cost=4881.283 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0006.params" | |
| INFO:root:Epoch[5] Validation-accuracy=0.476782 | |
| INFO:root:Epoch[5] Validation-top_k_accuracy_5=0.739178 | |
| INFO:root:Epoch[6] Batch [50] Speed: 283.04 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [50] Speed: 283.04 samples/sec Train-top_k_accuracy_5=0.685547 | |
| INFO:root:Epoch[6] Batch [100] Speed: 278.00 samples/sec Train-accuracy=0.422734 | |
| INFO:root:Epoch[6] Batch [100] Speed: 278.00 samples/sec Train-top_k_accuracy_5=0.672109 | |
| INFO:root:Epoch[6] Batch [150] Speed: 279.64 samples/sec Train-accuracy=0.428125 | |
| INFO:root:Epoch[6] Batch [150] Speed: 279.64 samples/sec Train-top_k_accuracy_5=0.675312 | |
| INFO:root:Epoch[6] Batch [200] Speed: 273.15 samples/sec Train-accuracy=0.422969 | |
| INFO:root:Epoch[6] Batch [200] Speed: 273.15 samples/sec Train-top_k_accuracy_5=0.671172 | |
| INFO:root:Epoch[6] Batch [250] Speed: 254.44 samples/sec Train-accuracy=0.419844 | |
| INFO:root:Epoch[6] Batch [250] Speed: 254.44 samples/sec Train-top_k_accuracy_5=0.674531 | |
| INFO:root:Epoch[6] Batch [300] Speed: 247.64 samples/sec Train-accuracy=0.427109 | |
| INFO:root:Epoch[6] Batch [300] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.684688 | |
| INFO:root:Epoch[6] Batch [350] Speed: 261.14 samples/sec Train-accuracy=0.427812 | |
| INFO:root:Epoch[6] Batch [350] Speed: 261.14 samples/sec Train-top_k_accuracy_5=0.679141 | |
| INFO:root:Epoch[6] Batch [400] Speed: 265.81 samples/sec Train-accuracy=0.424375 | |
| INFO:root:Epoch[6] Batch [400] Speed: 265.81 samples/sec Train-top_k_accuracy_5=0.681953 | |
| INFO:root:Epoch[6] Batch [450] Speed: 271.70 samples/sec Train-accuracy=0.426484 | |
| INFO:root:Epoch[6] Batch [450] Speed: 271.70 samples/sec Train-top_k_accuracy_5=0.679141 | |
| INFO:root:Epoch[6] Batch [500] Speed: 256.59 samples/sec Train-accuracy=0.423984 | |
| INFO:root:Epoch[6] Batch [500] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.675859 | |
| INFO:root:Epoch[6] Batch [550] Speed: 274.82 samples/sec Train-accuracy=0.424766 | |
| INFO:root:Epoch[6] Batch [550] Speed: 274.82 samples/sec Train-top_k_accuracy_5=0.677031 | |
| INFO:root:Epoch[6] Batch [600] Speed: 252.28 samples/sec Train-accuracy=0.428516 | |
| INFO:root:Epoch[6] Batch [600] Speed: 252.28 samples/sec Train-top_k_accuracy_5=0.677656 | |
| INFO:root:Epoch[6] Batch [650] Speed: 255.52 samples/sec Train-accuracy=0.422812 | |
| INFO:root:Epoch[6] Batch [650] Speed: 255.52 samples/sec Train-top_k_accuracy_5=0.674609 | |
| INFO:root:Epoch[6] Batch [700] Speed: 268.62 samples/sec Train-accuracy=0.426016 | |
| INFO:root:Epoch[6] Batch [700] Speed: 268.62 samples/sec Train-top_k_accuracy_5=0.675469 | |
| INFO:root:Epoch[6] Batch [750] Speed: 265.16 samples/sec Train-accuracy=0.428203 | |
| INFO:root:Epoch[6] Batch [750] Speed: 265.16 samples/sec Train-top_k_accuracy_5=0.675312 | |
| INFO:root:Epoch[6] Batch [800] Speed: 265.27 samples/sec Train-accuracy=0.409219 | |
| INFO:root:Epoch[6] Batch [800] Speed: 265.27 samples/sec Train-top_k_accuracy_5=0.671406 | |
| INFO:root:Epoch[6] Batch [850] Speed: 273.55 samples/sec Train-accuracy=0.421563 | |
| INFO:root:Epoch[6] Batch [850] Speed: 273.55 samples/sec Train-top_k_accuracy_5=0.671406 | |
| INFO:root:Epoch[6] Batch [900] Speed: 266.44 samples/sec Train-accuracy=0.426563 | |
| INFO:root:Epoch[6] Batch [900] Speed: 266.44 samples/sec Train-top_k_accuracy_5=0.677734 | |
| INFO:root:Epoch[6] Batch [950] Speed: 271.51 samples/sec Train-accuracy=0.423516 | |
| INFO:root:Epoch[6] Batch [950] Speed: 271.51 samples/sec Train-top_k_accuracy_5=0.677266 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 269.95 samples/sec Train-accuracy=0.427734 | |
| INFO:root:Epoch[6] Batch [1000] Speed: 269.95 samples/sec Train-top_k_accuracy_5=0.684063 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 266.17 samples/sec Train-accuracy=0.430000 | |
| INFO:root:Epoch[6] Batch [1050] Speed: 266.17 samples/sec Train-top_k_accuracy_5=0.678203 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 256.24 samples/sec Train-accuracy=0.435234 | |
| INFO:root:Epoch[6] Batch [1100] Speed: 256.24 samples/sec Train-top_k_accuracy_5=0.687891 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 267.70 samples/sec Train-accuracy=0.423359 | |
| INFO:root:Epoch[6] Batch [1150] Speed: 267.70 samples/sec Train-top_k_accuracy_5=0.673516 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 263.41 samples/sec Train-accuracy=0.434219 | |
| INFO:root:Epoch[6] Batch [1200] Speed: 263.41 samples/sec Train-top_k_accuracy_5=0.678828 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 262.13 samples/sec Train-accuracy=0.420938 | |
| INFO:root:Epoch[6] Batch [1250] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.671094 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 274.20 samples/sec Train-accuracy=0.427109 | |
| INFO:root:Epoch[6] Batch [1300] Speed: 274.20 samples/sec Train-top_k_accuracy_5=0.679375 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 267.05 samples/sec Train-accuracy=0.418359 | |
| INFO:root:Epoch[6] Batch [1350] Speed: 267.05 samples/sec Train-top_k_accuracy_5=0.679688 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 270.63 samples/sec Train-accuracy=0.436719 | |
| INFO:root:Epoch[6] Batch [1400] Speed: 270.63 samples/sec Train-top_k_accuracy_5=0.686094 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 263.86 samples/sec Train-accuracy=0.435391 | |
| INFO:root:Epoch[6] Batch [1450] Speed: 263.86 samples/sec Train-top_k_accuracy_5=0.683125 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 262.28 samples/sec Train-accuracy=0.423516 | |
| INFO:root:Epoch[6] Batch [1500] Speed: 262.28 samples/sec Train-top_k_accuracy_5=0.678672 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 260.60 samples/sec Train-accuracy=0.434141 | |
| INFO:root:Epoch[6] Batch [1550] Speed: 260.60 samples/sec Train-top_k_accuracy_5=0.679297 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 272.15 samples/sec Train-accuracy=0.429375 | |
| INFO:root:Epoch[6] Batch [1600] Speed: 272.15 samples/sec Train-top_k_accuracy_5=0.678750 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 271.00 samples/sec Train-accuracy=0.427578 | |
| INFO:root:Epoch[6] Batch [1650] Speed: 271.00 samples/sec Train-top_k_accuracy_5=0.681875 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 272.01 samples/sec Train-accuracy=0.420156 | |
| INFO:root:Epoch[6] Batch [1700] Speed: 272.01 samples/sec Train-top_k_accuracy_5=0.676406 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 259.73 samples/sec Train-accuracy=0.431172 | |
| INFO:root:Epoch[6] Batch [1750] Speed: 259.73 samples/sec Train-top_k_accuracy_5=0.681406 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 258.98 samples/sec Train-accuracy=0.425156 | |
| INFO:root:Epoch[6] Batch [1800] Speed: 258.98 samples/sec Train-top_k_accuracy_5=0.680469 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 267.95 samples/sec Train-accuracy=0.426328 | |
| INFO:root:Epoch[6] Batch [1850] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.676484 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 267.51 samples/sec Train-accuracy=0.430781 | |
| INFO:root:Epoch[6] Batch [1900] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.682813 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 268.95 samples/sec Train-accuracy=0.434375 | |
| INFO:root:Epoch[6] Batch [1950] Speed: 268.95 samples/sec Train-top_k_accuracy_5=0.678672 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 273.17 samples/sec Train-accuracy=0.422344 | |
| INFO:root:Epoch[6] Batch [2000] Speed: 273.17 samples/sec Train-top_k_accuracy_5=0.677188 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 274.78 samples/sec Train-accuracy=0.433828 | |
| INFO:root:Epoch[6] Batch [2050] Speed: 274.78 samples/sec Train-top_k_accuracy_5=0.680469 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 266.24 samples/sec Train-accuracy=0.440781 | |
| INFO:root:Epoch[6] Batch [2100] Speed: 266.24 samples/sec Train-top_k_accuracy_5=0.685625 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 262.33 samples/sec Train-accuracy=0.431797 | |
| INFO:root:Epoch[6] Batch [2150] Speed: 262.33 samples/sec Train-top_k_accuracy_5=0.687500 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 277.63 samples/sec Train-accuracy=0.435000 | |
| INFO:root:Epoch[6] Batch [2200] Speed: 277.63 samples/sec Train-top_k_accuracy_5=0.684922 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 279.94 samples/sec Train-accuracy=0.430078 | |
| INFO:root:Epoch[6] Batch [2250] Speed: 279.94 samples/sec Train-top_k_accuracy_5=0.680391 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 273.57 samples/sec Train-accuracy=0.428047 | |
| INFO:root:Epoch[6] Batch [2300] Speed: 273.57 samples/sec Train-top_k_accuracy_5=0.684688 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 261.35 samples/sec Train-accuracy=0.424219 | |
| INFO:root:Epoch[6] Batch [2350] Speed: 261.35 samples/sec Train-top_k_accuracy_5=0.681875 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 266.30 samples/sec Train-accuracy=0.429531 | |
| INFO:root:Epoch[6] Batch [2400] Speed: 266.30 samples/sec Train-top_k_accuracy_5=0.682109 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 261.76 samples/sec Train-accuracy=0.423828 | |
| INFO:root:Epoch[6] Batch [2450] Speed: 261.76 samples/sec Train-top_k_accuracy_5=0.676719 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 258.99 samples/sec Train-accuracy=0.428594 | |
| INFO:root:Epoch[6] Batch [2500] Speed: 258.99 samples/sec Train-top_k_accuracy_5=0.680391 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 263.62 samples/sec Train-accuracy=0.426172 | |
| INFO:root:Epoch[6] Batch [2550] Speed: 263.62 samples/sec Train-top_k_accuracy_5=0.682734 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 262.91 samples/sec Train-accuracy=0.426719 | |
| INFO:root:Epoch[6] Batch [2600] Speed: 262.91 samples/sec Train-top_k_accuracy_5=0.677266 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 257.23 samples/sec Train-accuracy=0.429297 | |
| INFO:root:Epoch[6] Batch [2650] Speed: 257.23 samples/sec Train-top_k_accuracy_5=0.680391 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 250.51 samples/sec Train-accuracy=0.434922 | |
| INFO:root:Epoch[6] Batch [2700] Speed: 250.51 samples/sec Train-top_k_accuracy_5=0.689063 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 262.22 samples/sec Train-accuracy=0.435625 | |
| INFO:root:Epoch[6] Batch [2750] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.685391 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 246.63 samples/sec Train-accuracy=0.434141 | |
| INFO:root:Epoch[6] Batch [2800] Speed: 246.63 samples/sec Train-top_k_accuracy_5=0.679844 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 251.72 samples/sec Train-accuracy=0.431406 | |
| INFO:root:Epoch[6] Batch [2850] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.682578 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 270.58 samples/sec Train-accuracy=0.436953 | |
| INFO:root:Epoch[6] Batch [2900] Speed: 270.58 samples/sec Train-top_k_accuracy_5=0.687422 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 259.85 samples/sec Train-accuracy=0.436406 | |
| INFO:root:Epoch[6] Batch [2950] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.688438 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 265.91 samples/sec Train-accuracy=0.426797 | |
| INFO:root:Epoch[6] Batch [3000] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.675078 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 264.79 samples/sec Train-accuracy=0.435625 | |
| INFO:root:Epoch[6] Batch [3050] Speed: 264.79 samples/sec Train-top_k_accuracy_5=0.681875 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 265.09 samples/sec Train-accuracy=0.436641 | |
| INFO:root:Epoch[6] Batch [3100] Speed: 265.09 samples/sec Train-top_k_accuracy_5=0.683359 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 262.85 samples/sec Train-accuracy=0.431953 | |
| INFO:root:Epoch[6] Batch [3150] Speed: 262.85 samples/sec Train-top_k_accuracy_5=0.686250 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 253.97 samples/sec Train-accuracy=0.440234 | |
| INFO:root:Epoch[6] Batch [3200] Speed: 253.97 samples/sec Train-top_k_accuracy_5=0.688281 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 268.34 samples/sec Train-accuracy=0.430234 | |
| INFO:root:Epoch[6] Batch [3250] Speed: 268.34 samples/sec Train-top_k_accuracy_5=0.677656 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 266.85 samples/sec Train-accuracy=0.432891 | |
| INFO:root:Epoch[6] Batch [3300] Speed: 266.85 samples/sec Train-top_k_accuracy_5=0.684844 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 271.31 samples/sec Train-accuracy=0.437109 | |
| INFO:root:Epoch[6] Batch [3350] Speed: 271.31 samples/sec Train-top_k_accuracy_5=0.685469 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 271.44 samples/sec Train-accuracy=0.438906 | |
| INFO:root:Epoch[6] Batch [3400] Speed: 271.44 samples/sec Train-top_k_accuracy_5=0.691641 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 256.94 samples/sec Train-accuracy=0.431875 | |
| INFO:root:Epoch[6] Batch [3450] Speed: 256.94 samples/sec Train-top_k_accuracy_5=0.679375 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 261.94 samples/sec Train-accuracy=0.435547 | |
| INFO:root:Epoch[6] Batch [3500] Speed: 261.94 samples/sec Train-top_k_accuracy_5=0.682422 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 270.15 samples/sec Train-accuracy=0.435156 | |
| INFO:root:Epoch[6] Batch [3550] Speed: 270.15 samples/sec Train-top_k_accuracy_5=0.688984 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 275.45 samples/sec Train-accuracy=0.439844 | |
| INFO:root:Epoch[6] Batch [3600] Speed: 275.45 samples/sec Train-top_k_accuracy_5=0.687734 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 270.31 samples/sec Train-accuracy=0.435078 | |
| INFO:root:Epoch[6] Batch [3650] Speed: 270.31 samples/sec Train-top_k_accuracy_5=0.685937 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 269.28 samples/sec Train-accuracy=0.441484 | |
| INFO:root:Epoch[6] Batch [3700] Speed: 269.28 samples/sec Train-top_k_accuracy_5=0.688281 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 260.15 samples/sec Train-accuracy=0.437656 | |
| INFO:root:Epoch[6] Batch [3750] Speed: 260.15 samples/sec Train-top_k_accuracy_5=0.678984 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 267.87 samples/sec Train-accuracy=0.431250 | |
| INFO:root:Epoch[6] Batch [3800] Speed: 267.87 samples/sec Train-top_k_accuracy_5=0.681719 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 271.11 samples/sec Train-accuracy=0.436250 | |
| INFO:root:Epoch[6] Batch [3850] Speed: 271.11 samples/sec Train-top_k_accuracy_5=0.687187 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 261.06 samples/sec Train-accuracy=0.438437 | |
| INFO:root:Epoch[6] Batch [3900] Speed: 261.06 samples/sec Train-top_k_accuracy_5=0.688359 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 261.79 samples/sec Train-accuracy=0.434297 | |
| INFO:root:Epoch[6] Batch [3950] Speed: 261.79 samples/sec Train-top_k_accuracy_5=0.681953 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 250.68 samples/sec Train-accuracy=0.434453 | |
| INFO:root:Epoch[6] Batch [4000] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.686562 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 253.45 samples/sec Train-accuracy=0.444219 | |
| INFO:root:Epoch[6] Batch [4050] Speed: 253.45 samples/sec Train-top_k_accuracy_5=0.690781 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 257.89 samples/sec Train-accuracy=0.440859 | |
| INFO:root:Epoch[6] Batch [4100] Speed: 257.89 samples/sec Train-top_k_accuracy_5=0.686250 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 262.52 samples/sec Train-accuracy=0.438281 | |
| INFO:root:Epoch[6] Batch [4150] Speed: 262.52 samples/sec Train-top_k_accuracy_5=0.689688 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 265.79 samples/sec Train-accuracy=0.443125 | |
| INFO:root:Epoch[6] Batch [4200] Speed: 265.79 samples/sec Train-top_k_accuracy_5=0.687578 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 262.47 samples/sec Train-accuracy=0.433594 | |
| INFO:root:Epoch[6] Batch [4250] Speed: 262.47 samples/sec Train-top_k_accuracy_5=0.684141 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 257.65 samples/sec Train-accuracy=0.442422 | |
| INFO:root:Epoch[6] Batch [4300] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.689688 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 265.06 samples/sec Train-accuracy=0.435703 | |
| INFO:root:Epoch[6] Batch [4350] Speed: 265.06 samples/sec Train-top_k_accuracy_5=0.683828 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 264.49 samples/sec Train-accuracy=0.438359 | |
| INFO:root:Epoch[6] Batch [4400] Speed: 264.49 samples/sec Train-top_k_accuracy_5=0.689688 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 265.77 samples/sec Train-accuracy=0.437031 | |
| INFO:root:Epoch[6] Batch [4450] Speed: 265.77 samples/sec Train-top_k_accuracy_5=0.683203 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 265.67 samples/sec Train-accuracy=0.432656 | |
| INFO:root:Epoch[6] Batch [4500] Speed: 265.67 samples/sec Train-top_k_accuracy_5=0.681250 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 269.50 samples/sec Train-accuracy=0.440391 | |
| INFO:root:Epoch[6] Batch [4550] Speed: 269.50 samples/sec Train-top_k_accuracy_5=0.688594 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 260.48 samples/sec Train-accuracy=0.441641 | |
| INFO:root:Epoch[6] Batch [4600] Speed: 260.48 samples/sec Train-top_k_accuracy_5=0.687500 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 261.92 samples/sec Train-accuracy=0.430547 | |
| INFO:root:Epoch[6] Batch [4650] Speed: 261.92 samples/sec Train-top_k_accuracy_5=0.687891 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 267.26 samples/sec Train-accuracy=0.431484 | |
| INFO:root:Epoch[6] Batch [4700] Speed: 267.26 samples/sec Train-top_k_accuracy_5=0.687813 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 261.20 samples/sec Train-accuracy=0.430156 | |
| INFO:root:Epoch[6] Batch [4750] Speed: 261.20 samples/sec Train-top_k_accuracy_5=0.685000 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 259.23 samples/sec Train-accuracy=0.441406 | |
| INFO:root:Epoch[6] Batch [4800] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.688750 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 261.74 samples/sec Train-accuracy=0.437188 | |
| INFO:root:Epoch[6] Batch [4850] Speed: 261.74 samples/sec Train-top_k_accuracy_5=0.686406 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 263.80 samples/sec Train-accuracy=0.443047 | |
| INFO:root:Epoch[6] Batch [4900] Speed: 263.80 samples/sec Train-top_k_accuracy_5=0.689375 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 258.56 samples/sec Train-accuracy=0.439688 | |
| INFO:root:Epoch[6] Batch [4950] Speed: 258.56 samples/sec Train-top_k_accuracy_5=0.686875 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 260.65 samples/sec Train-accuracy=0.443906 | |
| INFO:root:Epoch[6] Batch [5000] Speed: 260.65 samples/sec Train-top_k_accuracy_5=0.694766 | |
| INFO:root:Epoch[6] Resetting Data Iterator | |
| INFO:root:Epoch[6] Time cost=4841.905 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0007.params" | |
| INFO:root:Epoch[6] Validation-accuracy=0.482462 | |
| INFO:root:Epoch[6] Validation-top_k_accuracy_5=0.745117 | |
| INFO:root:Epoch[7] Batch [50] Speed: 286.39 samples/sec Train-accuracy=0.448750 | |
| INFO:root:Epoch[7] Batch [50] Speed: 286.39 samples/sec Train-top_k_accuracy_5=0.693438 | |
| INFO:root:Epoch[7] Batch [100] Speed: 280.60 samples/sec Train-accuracy=0.434375 | |
| INFO:root:Epoch[7] Batch [100] Speed: 280.60 samples/sec Train-top_k_accuracy_5=0.683984 | |
| INFO:root:Epoch[7] Batch [150] Speed: 280.36 samples/sec Train-accuracy=0.437344 | |
| INFO:root:Epoch[7] Batch [150] Speed: 280.36 samples/sec Train-top_k_accuracy_5=0.690312 | |
| INFO:root:Epoch[7] Batch [200] Speed: 267.44 samples/sec Train-accuracy=0.445078 | |
| INFO:root:Epoch[7] Batch [200] Speed: 267.44 samples/sec Train-top_k_accuracy_5=0.692813 | |
| INFO:root:Epoch[7] Batch [250] Speed: 250.54 samples/sec Train-accuracy=0.439922 | |
| INFO:root:Epoch[7] Batch [250] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.691094 | |
| INFO:root:Epoch[7] Batch [300] Speed: 264.18 samples/sec Train-accuracy=0.436719 | |
| INFO:root:Epoch[7] Batch [300] Speed: 264.18 samples/sec Train-top_k_accuracy_5=0.689922 | |
| INFO:root:Epoch[7] Batch [350] Speed: 260.26 samples/sec Train-accuracy=0.435781 | |
| INFO:root:Epoch[7] Batch [350] Speed: 260.26 samples/sec Train-top_k_accuracy_5=0.689375 | |
| INFO:root:Epoch[7] Batch [400] Speed: 268.54 samples/sec Train-accuracy=0.439609 | |
| INFO:root:Epoch[7] Batch [400] Speed: 268.54 samples/sec Train-top_k_accuracy_5=0.697969 | |
| INFO:root:Epoch[7] Batch [450] Speed: 263.38 samples/sec Train-accuracy=0.438516 | |
| INFO:root:Epoch[7] Batch [450] Speed: 263.38 samples/sec Train-top_k_accuracy_5=0.695625 | |
| INFO:root:Epoch[7] Batch [500] Speed: 264.86 samples/sec Train-accuracy=0.443828 | |
| INFO:root:Epoch[7] Batch [500] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.698828 | |
| INFO:root:Epoch[7] Batch [550] Speed: 256.72 samples/sec Train-accuracy=0.443828 | |
| INFO:root:Epoch[7] Batch [550] Speed: 256.72 samples/sec Train-top_k_accuracy_5=0.689219 | |
| INFO:root:Epoch[7] Batch [600] Speed: 263.90 samples/sec Train-accuracy=0.431094 | |
| INFO:root:Epoch[7] Batch [600] Speed: 263.90 samples/sec Train-top_k_accuracy_5=0.682344 | |
| INFO:root:Epoch[7] Batch [650] Speed: 263.75 samples/sec Train-accuracy=0.440078 | |
| INFO:root:Epoch[7] Batch [650] Speed: 263.75 samples/sec Train-top_k_accuracy_5=0.688750 | |
| INFO:root:Epoch[7] Batch [700] Speed: 250.47 samples/sec Train-accuracy=0.437266 | |
| INFO:root:Epoch[7] Batch [700] Speed: 250.47 samples/sec Train-top_k_accuracy_5=0.689375 | |
| INFO:root:Epoch[7] Batch [750] Speed: 255.88 samples/sec Train-accuracy=0.441797 | |
| INFO:root:Epoch[7] Batch [750] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.689453 | |
| INFO:root:Epoch[7] Batch [800] Speed: 258.61 samples/sec Train-accuracy=0.431484 | |
| INFO:root:Epoch[7] Batch [800] Speed: 258.61 samples/sec Train-top_k_accuracy_5=0.684531 | |
| INFO:root:Epoch[7] Batch [850] Speed: 259.48 samples/sec Train-accuracy=0.437969 | |
| INFO:root:Epoch[7] Batch [850] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.686797 | |
| INFO:root:Epoch[7] Batch [900] Speed: 252.77 samples/sec Train-accuracy=0.442656 | |
| INFO:root:Epoch[7] Batch [900] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.693594 | |
| INFO:root:Epoch[7] Batch [950] Speed: 257.86 samples/sec Train-accuracy=0.434453 | |
| INFO:root:Epoch[7] Batch [950] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.691562 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 258.02 samples/sec Train-accuracy=0.440391 | |
| INFO:root:Epoch[7] Batch [1000] Speed: 258.02 samples/sec Train-top_k_accuracy_5=0.691875 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 269.52 samples/sec Train-accuracy=0.444922 | |
| INFO:root:Epoch[7] Batch [1050] Speed: 269.52 samples/sec Train-top_k_accuracy_5=0.693984 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 250.22 samples/sec Train-accuracy=0.445156 | |
| INFO:root:Epoch[7] Batch [1100] Speed: 250.22 samples/sec Train-top_k_accuracy_5=0.702500 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 261.47 samples/sec Train-accuracy=0.444063 | |
| INFO:root:Epoch[7] Batch [1150] Speed: 261.47 samples/sec Train-top_k_accuracy_5=0.692500 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 269.63 samples/sec Train-accuracy=0.438672 | |
| INFO:root:Epoch[7] Batch [1200] Speed: 269.63 samples/sec Train-top_k_accuracy_5=0.691172 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 252.44 samples/sec Train-accuracy=0.440703 | |
| INFO:root:Epoch[7] Batch [1250] Speed: 252.44 samples/sec Train-top_k_accuracy_5=0.693828 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 243.27 samples/sec Train-accuracy=0.431406 | |
| INFO:root:Epoch[7] Batch [1300] Speed: 243.27 samples/sec Train-top_k_accuracy_5=0.684688 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 265.72 samples/sec Train-accuracy=0.438281 | |
| INFO:root:Epoch[7] Batch [1350] Speed: 265.72 samples/sec Train-top_k_accuracy_5=0.696484 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 254.17 samples/sec Train-accuracy=0.447891 | |
| INFO:root:Epoch[7] Batch [1400] Speed: 254.17 samples/sec Train-top_k_accuracy_5=0.696875 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 270.70 samples/sec Train-accuracy=0.439766 | |
| INFO:root:Epoch[7] Batch [1450] Speed: 270.70 samples/sec Train-top_k_accuracy_5=0.695859 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 261.55 samples/sec Train-accuracy=0.441250 | |
| INFO:root:Epoch[7] Batch [1500] Speed: 261.55 samples/sec Train-top_k_accuracy_5=0.691094 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 265.46 samples/sec Train-accuracy=0.450234 | |
| INFO:root:Epoch[7] Batch [1550] Speed: 265.46 samples/sec Train-top_k_accuracy_5=0.694219 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 268.28 samples/sec Train-accuracy=0.441719 | |
| INFO:root:Epoch[7] Batch [1600] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.698281 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 246.16 samples/sec Train-accuracy=0.442266 | |
| INFO:root:Epoch[7] Batch [1650] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.686719 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 266.84 samples/sec Train-accuracy=0.438984 | |
| INFO:root:Epoch[7] Batch [1700] Speed: 266.84 samples/sec Train-top_k_accuracy_5=0.690781 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 276.42 samples/sec Train-accuracy=0.438828 | |
| INFO:root:Epoch[7] Batch [1750] Speed: 276.42 samples/sec Train-top_k_accuracy_5=0.688594 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 254.96 samples/sec Train-accuracy=0.438750 | |
| INFO:root:Epoch[7] Batch [1800] Speed: 254.96 samples/sec Train-top_k_accuracy_5=0.685781 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 264.44 samples/sec Train-accuracy=0.440937 | |
| INFO:root:Epoch[7] Batch [1850] Speed: 264.44 samples/sec Train-top_k_accuracy_5=0.687969 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 262.53 samples/sec Train-accuracy=0.434375 | |
| INFO:root:Epoch[7] Batch [1900] Speed: 262.53 samples/sec Train-top_k_accuracy_5=0.692187 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 267.10 samples/sec Train-accuracy=0.446484 | |
| INFO:root:Epoch[7] Batch [1950] Speed: 267.10 samples/sec Train-top_k_accuracy_5=0.696719 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 270.24 samples/sec Train-accuracy=0.446328 | |
| INFO:root:Epoch[7] Batch [2000] Speed: 270.24 samples/sec Train-top_k_accuracy_5=0.689766 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 264.56 samples/sec Train-accuracy=0.443984 | |
| INFO:root:Epoch[7] Batch [2050] Speed: 264.56 samples/sec Train-top_k_accuracy_5=0.695547 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 261.34 samples/sec Train-accuracy=0.441797 | |
| INFO:root:Epoch[7] Batch [2100] Speed: 261.34 samples/sec Train-top_k_accuracy_5=0.691328 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 276.28 samples/sec Train-accuracy=0.449062 | |
| INFO:root:Epoch[7] Batch [2150] Speed: 276.28 samples/sec Train-top_k_accuracy_5=0.699219 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 267.81 samples/sec Train-accuracy=0.443359 | |
| INFO:root:Epoch[7] Batch [2200] Speed: 267.81 samples/sec Train-top_k_accuracy_5=0.691797 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 270.14 samples/sec Train-accuracy=0.450391 | |
| INFO:root:Epoch[7] Batch [2250] Speed: 270.14 samples/sec Train-top_k_accuracy_5=0.701484 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 263.43 samples/sec Train-accuracy=0.432812 | |
| INFO:root:Epoch[7] Batch [2300] Speed: 263.43 samples/sec Train-top_k_accuracy_5=0.688906 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 266.17 samples/sec Train-accuracy=0.452188 | |
| INFO:root:Epoch[7] Batch [2350] Speed: 266.17 samples/sec Train-top_k_accuracy_5=0.696016 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 270.27 samples/sec Train-accuracy=0.443750 | |
| INFO:root:Epoch[7] Batch [2400] Speed: 270.27 samples/sec Train-top_k_accuracy_5=0.694531 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 259.61 samples/sec Train-accuracy=0.445859 | |
| INFO:root:Epoch[7] Batch [2450] Speed: 259.61 samples/sec Train-top_k_accuracy_5=0.689063 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 249.82 samples/sec Train-accuracy=0.438594 | |
| INFO:root:Epoch[7] Batch [2500] Speed: 249.82 samples/sec Train-top_k_accuracy_5=0.693203 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 268.85 samples/sec Train-accuracy=0.442500 | |
| INFO:root:Epoch[7] Batch [2550] Speed: 268.85 samples/sec Train-top_k_accuracy_5=0.696328 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 269.79 samples/sec Train-accuracy=0.437188 | |
| INFO:root:Epoch[7] Batch [2600] Speed: 269.79 samples/sec Train-top_k_accuracy_5=0.691562 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 265.45 samples/sec Train-accuracy=0.446172 | |
| INFO:root:Epoch[7] Batch [2650] Speed: 265.45 samples/sec Train-top_k_accuracy_5=0.691797 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 252.58 samples/sec Train-accuracy=0.448281 | |
| INFO:root:Epoch[7] Batch [2700] Speed: 252.58 samples/sec Train-top_k_accuracy_5=0.698438 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 256.07 samples/sec Train-accuracy=0.444375 | |
| INFO:root:Epoch[7] Batch [2750] Speed: 256.07 samples/sec Train-top_k_accuracy_5=0.699844 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 256.32 samples/sec Train-accuracy=0.446719 | |
| INFO:root:Epoch[7] Batch [2800] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.694766 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 252.79 samples/sec Train-accuracy=0.444922 | |
| INFO:root:Epoch[7] Batch [2850] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.694766 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 266.30 samples/sec Train-accuracy=0.449297 | |
| INFO:root:Epoch[7] Batch [2900] Speed: 266.30 samples/sec Train-top_k_accuracy_5=0.695156 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 273.98 samples/sec Train-accuracy=0.448203 | |
| INFO:root:Epoch[7] Batch [2950] Speed: 273.98 samples/sec Train-top_k_accuracy_5=0.700703 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 266.92 samples/sec Train-accuracy=0.438984 | |
| INFO:root:Epoch[7] Batch [3000] Speed: 266.92 samples/sec Train-top_k_accuracy_5=0.693516 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 271.53 samples/sec Train-accuracy=0.445625 | |
| INFO:root:Epoch[7] Batch [3050] Speed: 271.53 samples/sec Train-top_k_accuracy_5=0.696328 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 275.07 samples/sec Train-accuracy=0.446328 | |
| INFO:root:Epoch[7] Batch [3100] Speed: 275.07 samples/sec Train-top_k_accuracy_5=0.694375 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 271.58 samples/sec Train-accuracy=0.441094 | |
| INFO:root:Epoch[7] Batch [3150] Speed: 271.58 samples/sec Train-top_k_accuracy_5=0.687891 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 269.45 samples/sec Train-accuracy=0.446172 | |
| INFO:root:Epoch[7] Batch [3200] Speed: 269.45 samples/sec Train-top_k_accuracy_5=0.699766 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 270.97 samples/sec Train-accuracy=0.434375 | |
| INFO:root:Epoch[7] Batch [3250] Speed: 270.97 samples/sec Train-top_k_accuracy_5=0.696797 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 263.02 samples/sec Train-accuracy=0.450078 | |
| INFO:root:Epoch[7] Batch [3300] Speed: 263.02 samples/sec Train-top_k_accuracy_5=0.699688 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 259.41 samples/sec Train-accuracy=0.436953 | |
| INFO:root:Epoch[7] Batch [3350] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.688438 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 262.74 samples/sec Train-accuracy=0.452344 | |
| INFO:root:Epoch[7] Batch [3400] Speed: 262.74 samples/sec Train-top_k_accuracy_5=0.701172 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 259.83 samples/sec Train-accuracy=0.437344 | |
| INFO:root:Epoch[7] Batch [3450] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.694063 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 270.20 samples/sec Train-accuracy=0.454297 | |
| INFO:root:Epoch[7] Batch [3500] Speed: 270.20 samples/sec Train-top_k_accuracy_5=0.702344 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 263.85 samples/sec Train-accuracy=0.447109 | |
| INFO:root:Epoch[7] Batch [3550] Speed: 263.85 samples/sec Train-top_k_accuracy_5=0.691797 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 265.19 samples/sec Train-accuracy=0.452344 | |
| INFO:root:Epoch[7] Batch [3600] Speed: 265.19 samples/sec Train-top_k_accuracy_5=0.698125 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 267.56 samples/sec Train-accuracy=0.447578 | |
| INFO:root:Epoch[7] Batch [3650] Speed: 267.56 samples/sec Train-top_k_accuracy_5=0.695703 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 260.52 samples/sec Train-accuracy=0.446172 | |
| INFO:root:Epoch[7] Batch [3700] Speed: 260.52 samples/sec Train-top_k_accuracy_5=0.700391 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 265.07 samples/sec Train-accuracy=0.442344 | |
| INFO:root:Epoch[7] Batch [3750] Speed: 265.07 samples/sec Train-top_k_accuracy_5=0.693672 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 249.51 samples/sec Train-accuracy=0.455078 | |
| INFO:root:Epoch[7] Batch [3800] Speed: 249.51 samples/sec Train-top_k_accuracy_5=0.696250 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 255.60 samples/sec Train-accuracy=0.453437 | |
| INFO:root:Epoch[7] Batch [3850] Speed: 255.60 samples/sec Train-top_k_accuracy_5=0.703203 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 256.37 samples/sec Train-accuracy=0.452344 | |
| INFO:root:Epoch[7] Batch [3900] Speed: 256.37 samples/sec Train-top_k_accuracy_5=0.700156 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 267.82 samples/sec Train-accuracy=0.437422 | |
| INFO:root:Epoch[7] Batch [3950] Speed: 267.82 samples/sec Train-top_k_accuracy_5=0.691641 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 273.25 samples/sec Train-accuracy=0.449609 | |
| INFO:root:Epoch[7] Batch [4000] Speed: 273.25 samples/sec Train-top_k_accuracy_5=0.699766 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 259.54 samples/sec Train-accuracy=0.450547 | |
| INFO:root:Epoch[7] Batch [4050] Speed: 259.54 samples/sec Train-top_k_accuracy_5=0.699844 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 257.45 samples/sec Train-accuracy=0.451250 | |
| INFO:root:Epoch[7] Batch [4100] Speed: 257.45 samples/sec Train-top_k_accuracy_5=0.695781 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 255.21 samples/sec Train-accuracy=0.448437 | |
| INFO:root:Epoch[7] Batch [4150] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.696406 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 258.99 samples/sec Train-accuracy=0.442344 | |
| INFO:root:Epoch[7] Batch [4200] Speed: 258.99 samples/sec Train-top_k_accuracy_5=0.692813 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 266.85 samples/sec Train-accuracy=0.442812 | |
| INFO:root:Epoch[7] Batch [4250] Speed: 266.85 samples/sec Train-top_k_accuracy_5=0.701953 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 274.39 samples/sec Train-accuracy=0.453750 | |
| INFO:root:Epoch[7] Batch [4300] Speed: 274.39 samples/sec Train-top_k_accuracy_5=0.699609 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 260.38 samples/sec Train-accuracy=0.449062 | |
| INFO:root:Epoch[7] Batch [4350] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.695703 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 260.89 samples/sec Train-accuracy=0.452891 | |
| INFO:root:Epoch[7] Batch [4400] Speed: 260.89 samples/sec Train-top_k_accuracy_5=0.705234 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 245.20 samples/sec Train-accuracy=0.450313 | |
| INFO:root:Epoch[7] Batch [4450] Speed: 245.20 samples/sec Train-top_k_accuracy_5=0.693125 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 253.37 samples/sec Train-accuracy=0.446172 | |
| INFO:root:Epoch[7] Batch [4500] Speed: 253.37 samples/sec Train-top_k_accuracy_5=0.694922 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 252.16 samples/sec Train-accuracy=0.442578 | |
| INFO:root:Epoch[7] Batch [4550] Speed: 252.16 samples/sec Train-top_k_accuracy_5=0.696484 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 252.46 samples/sec Train-accuracy=0.453984 | |
| INFO:root:Epoch[7] Batch [4600] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.704531 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 257.70 samples/sec Train-accuracy=0.442109 | |
| INFO:root:Epoch[7] Batch [4650] Speed: 257.70 samples/sec Train-top_k_accuracy_5=0.696719 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 247.64 samples/sec Train-accuracy=0.445156 | |
| INFO:root:Epoch[7] Batch [4700] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.695703 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 254.56 samples/sec Train-accuracy=0.441094 | |
| INFO:root:Epoch[7] Batch [4750] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.694531 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 265.30 samples/sec Train-accuracy=0.446797 | |
| INFO:root:Epoch[7] Batch [4800] Speed: 265.30 samples/sec Train-top_k_accuracy_5=0.703750 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 264.99 samples/sec Train-accuracy=0.445625 | |
| INFO:root:Epoch[7] Batch [4850] Speed: 264.99 samples/sec Train-top_k_accuracy_5=0.692734 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 262.79 samples/sec Train-accuracy=0.446875 | |
| INFO:root:Epoch[7] Batch [4900] Speed: 262.79 samples/sec Train-top_k_accuracy_5=0.698906 | |
| INFO:root:Epoch[7] Batch [4950] Speed: 266.84 samples/sec Train-accuracy=0.438906 | |
| INFO:root:Epoch[7] Batch [4950] Speed: 266.84 samples/sec Train-top_k_accuracy_5=0.693359 | |
| INFO:root:Epoch[7] Batch [5000] Speed: 270.35 samples/sec Train-accuracy=0.458594 | |
| INFO:root:Epoch[7] Batch [5000] Speed: 270.35 samples/sec Train-top_k_accuracy_5=0.701172 | |
| INFO:root:Epoch[7] Resetting Data Iterator | |
| INFO:root:Epoch[7] Time cost=4882.513 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0008.params" | |
| INFO:root:Epoch[7] Validation-accuracy=0.480628 | |
| INFO:root:Epoch[7] Validation-top_k_accuracy_5=0.741211 | |
| INFO:root:Epoch[8] Batch [50] Speed: 282.39 samples/sec Train-accuracy=0.462187 | |
| INFO:root:Epoch[8] Batch [50] Speed: 282.39 samples/sec Train-top_k_accuracy_5=0.706016 | |
| INFO:root:Epoch[8] Batch [100] Speed: 279.31 samples/sec Train-accuracy=0.447578 | |
| INFO:root:Epoch[8] Batch [100] Speed: 279.31 samples/sec Train-top_k_accuracy_5=0.691953 | |
| INFO:root:Epoch[8] Batch [150] Speed: 279.26 samples/sec Train-accuracy=0.450391 | |
| INFO:root:Epoch[8] Batch [150] Speed: 279.26 samples/sec Train-top_k_accuracy_5=0.695391 | |
| INFO:root:Epoch[8] Batch [200] Speed: 257.12 samples/sec Train-accuracy=0.446250 | |
| INFO:root:Epoch[8] Batch [200] Speed: 257.12 samples/sec Train-top_k_accuracy_5=0.696328 | |
| INFO:root:Epoch[8] Batch [250] Speed: 263.07 samples/sec Train-accuracy=0.448359 | |
| INFO:root:Epoch[8] Batch [250] Speed: 263.07 samples/sec Train-top_k_accuracy_5=0.698984 | |
| INFO:root:Epoch[8] Batch [300] Speed: 247.35 samples/sec Train-accuracy=0.445469 | |
| INFO:root:Epoch[8] Batch [300] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.697422 | |
| INFO:root:Epoch[8] Batch [350] Speed: 254.96 samples/sec Train-accuracy=0.452891 | |
| INFO:root:Epoch[8] Batch [350] Speed: 254.96 samples/sec Train-top_k_accuracy_5=0.703203 | |
| INFO:root:Epoch[8] Batch [400] Speed: 244.10 samples/sec Train-accuracy=0.452109 | |
| INFO:root:Epoch[8] Batch [400] Speed: 244.10 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[8] Batch [450] Speed: 253.94 samples/sec Train-accuracy=0.446016 | |
| INFO:root:Epoch[8] Batch [450] Speed: 253.94 samples/sec Train-top_k_accuracy_5=0.698594 | |
| INFO:root:Epoch[8] Batch [500] Speed: 267.01 samples/sec Train-accuracy=0.458906 | |
| INFO:root:Epoch[8] Batch [500] Speed: 267.01 samples/sec Train-top_k_accuracy_5=0.705078 | |
| INFO:root:Epoch[8] Batch [550] Speed: 267.68 samples/sec Train-accuracy=0.455781 | |
| INFO:root:Epoch[8] Batch [550] Speed: 267.68 samples/sec Train-top_k_accuracy_5=0.694531 | |
| INFO:root:Epoch[8] Batch [600] Speed: 269.05 samples/sec Train-accuracy=0.450000 | |
| INFO:root:Epoch[8] Batch [600] Speed: 269.05 samples/sec Train-top_k_accuracy_5=0.693672 | |
| INFO:root:Epoch[8] Batch [650] Speed: 267.96 samples/sec Train-accuracy=0.450625 | |
| INFO:root:Epoch[8] Batch [650] Speed: 267.96 samples/sec Train-top_k_accuracy_5=0.697891 | |
| INFO:root:Epoch[8] Batch [700] Speed: 274.61 samples/sec Train-accuracy=0.446406 | |
| INFO:root:Epoch[8] Batch [700] Speed: 274.61 samples/sec Train-top_k_accuracy_5=0.695234 | |
| INFO:root:Epoch[8] Batch [750] Speed: 274.57 samples/sec Train-accuracy=0.451484 | |
| INFO:root:Epoch[8] Batch [750] Speed: 274.57 samples/sec Train-top_k_accuracy_5=0.704609 | |
| INFO:root:Epoch[8] Batch [800] Speed: 278.09 samples/sec Train-accuracy=0.436328 | |
| INFO:root:Epoch[8] Batch [800] Speed: 278.09 samples/sec Train-top_k_accuracy_5=0.688203 | |
| INFO:root:Epoch[8] Batch [850] Speed: 264.06 samples/sec Train-accuracy=0.446094 | |
| INFO:root:Epoch[8] Batch [850] Speed: 264.06 samples/sec Train-top_k_accuracy_5=0.696250 | |
| INFO:root:Epoch[8] Batch [900] Speed: 278.46 samples/sec Train-accuracy=0.445312 | |
| INFO:root:Epoch[8] Batch [900] Speed: 278.46 samples/sec Train-top_k_accuracy_5=0.693203 | |
| INFO:root:Epoch[8] Batch [950] Speed: 270.38 samples/sec Train-accuracy=0.448750 | |
| INFO:root:Epoch[8] Batch [950] Speed: 270.38 samples/sec Train-top_k_accuracy_5=0.697187 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 270.23 samples/sec Train-accuracy=0.450625 | |
| INFO:root:Epoch[8] Batch [1000] Speed: 270.23 samples/sec Train-top_k_accuracy_5=0.703281 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 264.16 samples/sec Train-accuracy=0.460234 | |
| INFO:root:Epoch[8] Batch [1050] Speed: 264.16 samples/sec Train-top_k_accuracy_5=0.706094 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 250.81 samples/sec Train-accuracy=0.457578 | |
| INFO:root:Epoch[8] Batch [1100] Speed: 250.81 samples/sec Train-top_k_accuracy_5=0.706016 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 257.10 samples/sec Train-accuracy=0.444375 | |
| INFO:root:Epoch[8] Batch [1150] Speed: 257.10 samples/sec Train-top_k_accuracy_5=0.691875 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 263.99 samples/sec Train-accuracy=0.441797 | |
| INFO:root:Epoch[8] Batch [1200] Speed: 263.99 samples/sec Train-top_k_accuracy_5=0.693516 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 246.89 samples/sec Train-accuracy=0.442031 | |
| INFO:root:Epoch[8] Batch [1250] Speed: 246.89 samples/sec Train-top_k_accuracy_5=0.696719 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 262.17 samples/sec Train-accuracy=0.451719 | |
| INFO:root:Epoch[8] Batch [1300] Speed: 262.17 samples/sec Train-top_k_accuracy_5=0.699219 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 264.63 samples/sec Train-accuracy=0.456484 | |
| INFO:root:Epoch[8] Batch [1350] Speed: 264.63 samples/sec Train-top_k_accuracy_5=0.700000 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 261.22 samples/sec Train-accuracy=0.455937 | |
| INFO:root:Epoch[8] Batch [1400] Speed: 261.22 samples/sec Train-top_k_accuracy_5=0.703516 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 273.16 samples/sec Train-accuracy=0.455625 | |
| INFO:root:Epoch[8] Batch [1450] Speed: 273.16 samples/sec Train-top_k_accuracy_5=0.700625 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 271.97 samples/sec Train-accuracy=0.453984 | |
| INFO:root:Epoch[8] Batch [1500] Speed: 271.97 samples/sec Train-top_k_accuracy_5=0.703672 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 264.65 samples/sec Train-accuracy=0.458203 | |
| INFO:root:Epoch[8] Batch [1550] Speed: 264.65 samples/sec Train-top_k_accuracy_5=0.699766 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 260.37 samples/sec Train-accuracy=0.446094 | |
| INFO:root:Epoch[8] Batch [1600] Speed: 260.37 samples/sec Train-top_k_accuracy_5=0.698125 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 267.90 samples/sec Train-accuracy=0.453750 | |
| INFO:root:Epoch[8] Batch [1650] Speed: 267.90 samples/sec Train-top_k_accuracy_5=0.699922 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 264.34 samples/sec Train-accuracy=0.440625 | |
| INFO:root:Epoch[8] Batch [1700] Speed: 264.34 samples/sec Train-top_k_accuracy_5=0.695781 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 277.62 samples/sec Train-accuracy=0.448672 | |
| INFO:root:Epoch[8] Batch [1750] Speed: 277.62 samples/sec Train-top_k_accuracy_5=0.701719 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 262.30 samples/sec Train-accuracy=0.452578 | |
| INFO:root:Epoch[8] Batch [1800] Speed: 262.30 samples/sec Train-top_k_accuracy_5=0.699219 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 260.34 samples/sec Train-accuracy=0.456406 | |
| INFO:root:Epoch[8] Batch [1850] Speed: 260.34 samples/sec Train-top_k_accuracy_5=0.703594 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 267.65 samples/sec Train-accuracy=0.451641 | |
| INFO:root:Epoch[8] Batch [1900] Speed: 267.65 samples/sec Train-top_k_accuracy_5=0.702812 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 256.95 samples/sec Train-accuracy=0.450313 | |
| INFO:root:Epoch[8] Batch [1950] Speed: 256.95 samples/sec Train-top_k_accuracy_5=0.698594 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 251.82 samples/sec Train-accuracy=0.451797 | |
| INFO:root:Epoch[8] Batch [2000] Speed: 251.82 samples/sec Train-top_k_accuracy_5=0.703125 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 261.44 samples/sec Train-accuracy=0.454062 | |
| INFO:root:Epoch[8] Batch [2050] Speed: 261.44 samples/sec Train-top_k_accuracy_5=0.703359 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 277.00 samples/sec Train-accuracy=0.458281 | |
| INFO:root:Epoch[8] Batch [2100] Speed: 277.00 samples/sec Train-top_k_accuracy_5=0.706250 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 270.95 samples/sec Train-accuracy=0.463984 | |
| INFO:root:Epoch[8] Batch [2150] Speed: 270.95 samples/sec Train-top_k_accuracy_5=0.711953 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 269.22 samples/sec Train-accuracy=0.455313 | |
| INFO:root:Epoch[8] Batch [2200] Speed: 269.22 samples/sec Train-top_k_accuracy_5=0.701094 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 273.47 samples/sec Train-accuracy=0.457031 | |
| INFO:root:Epoch[8] Batch [2250] Speed: 273.47 samples/sec Train-top_k_accuracy_5=0.703594 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 271.36 samples/sec Train-accuracy=0.448516 | |
| INFO:root:Epoch[8] Batch [2300] Speed: 271.36 samples/sec Train-top_k_accuracy_5=0.699453 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 261.28 samples/sec Train-accuracy=0.451328 | |
| INFO:root:Epoch[8] Batch [2350] Speed: 261.28 samples/sec Train-top_k_accuracy_5=0.698359 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 263.87 samples/sec Train-accuracy=0.449062 | |
| INFO:root:Epoch[8] Batch [2400] Speed: 263.87 samples/sec Train-top_k_accuracy_5=0.696016 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 267.79 samples/sec Train-accuracy=0.453281 | |
| INFO:root:Epoch[8] Batch [2450] Speed: 267.79 samples/sec Train-top_k_accuracy_5=0.700000 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 266.16 samples/sec Train-accuracy=0.453047 | |
| INFO:root:Epoch[8] Batch [2500] Speed: 266.16 samples/sec Train-top_k_accuracy_5=0.695859 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 264.46 samples/sec Train-accuracy=0.456016 | |
| INFO:root:Epoch[8] Batch [2550] Speed: 264.46 samples/sec Train-top_k_accuracy_5=0.703750 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 270.45 samples/sec Train-accuracy=0.443203 | |
| INFO:root:Epoch[8] Batch [2600] Speed: 270.45 samples/sec Train-top_k_accuracy_5=0.698281 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 264.31 samples/sec Train-accuracy=0.458828 | |
| INFO:root:Epoch[8] Batch [2650] Speed: 264.31 samples/sec Train-top_k_accuracy_5=0.709922 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 267.23 samples/sec Train-accuracy=0.452344 | |
| INFO:root:Epoch[8] Batch [2700] Speed: 267.23 samples/sec Train-top_k_accuracy_5=0.703984 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 265.00 samples/sec Train-accuracy=0.461484 | |
| INFO:root:Epoch[8] Batch [2750] Speed: 265.00 samples/sec Train-top_k_accuracy_5=0.706406 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 266.75 samples/sec Train-accuracy=0.448125 | |
| INFO:root:Epoch[8] Batch [2800] Speed: 266.75 samples/sec Train-top_k_accuracy_5=0.701875 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 265.80 samples/sec Train-accuracy=0.448203 | |
| INFO:root:Epoch[8] Batch [2850] Speed: 265.80 samples/sec Train-top_k_accuracy_5=0.699297 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 259.84 samples/sec Train-accuracy=0.451797 | |
| INFO:root:Epoch[8] Batch [2900] Speed: 259.84 samples/sec Train-top_k_accuracy_5=0.707031 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 267.31 samples/sec Train-accuracy=0.458437 | |
| INFO:root:Epoch[8] Batch [2950] Speed: 267.31 samples/sec Train-top_k_accuracy_5=0.706484 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 272.89 samples/sec Train-accuracy=0.455469 | |
| INFO:root:Epoch[8] Batch [3000] Speed: 272.89 samples/sec Train-top_k_accuracy_5=0.703828 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 270.20 samples/sec Train-accuracy=0.453750 | |
| INFO:root:Epoch[8] Batch [3050] Speed: 270.20 samples/sec Train-top_k_accuracy_5=0.704375 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 258.33 samples/sec Train-accuracy=0.453359 | |
| INFO:root:Epoch[8] Batch [3100] Speed: 258.33 samples/sec Train-top_k_accuracy_5=0.701094 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 252.97 samples/sec Train-accuracy=0.446484 | |
| INFO:root:Epoch[8] Batch [3150] Speed: 252.97 samples/sec Train-top_k_accuracy_5=0.697266 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 254.61 samples/sec Train-accuracy=0.458359 | |
| INFO:root:Epoch[8] Batch [3200] Speed: 254.61 samples/sec Train-top_k_accuracy_5=0.709688 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 257.65 samples/sec Train-accuracy=0.445312 | |
| INFO:root:Epoch[8] Batch [3250] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.698828 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 272.88 samples/sec Train-accuracy=0.455781 | |
| INFO:root:Epoch[8] Batch [3300] Speed: 272.88 samples/sec Train-top_k_accuracy_5=0.709141 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 259.59 samples/sec Train-accuracy=0.445625 | |
| INFO:root:Epoch[8] Batch [3350] Speed: 259.59 samples/sec Train-top_k_accuracy_5=0.697500 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 261.88 samples/sec Train-accuracy=0.451875 | |
| INFO:root:Epoch[8] Batch [3400] Speed: 261.88 samples/sec Train-top_k_accuracy_5=0.705234 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 262.00 samples/sec Train-accuracy=0.450313 | |
| INFO:root:Epoch[8] Batch [3450] Speed: 262.00 samples/sec Train-top_k_accuracy_5=0.700000 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 246.84 samples/sec Train-accuracy=0.457969 | |
| INFO:root:Epoch[8] Batch [3500] Speed: 246.84 samples/sec Train-top_k_accuracy_5=0.701953 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 262.72 samples/sec Train-accuracy=0.459922 | |
| INFO:root:Epoch[8] Batch [3550] Speed: 262.72 samples/sec Train-top_k_accuracy_5=0.705937 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 253.79 samples/sec Train-accuracy=0.457891 | |
| INFO:root:Epoch[8] Batch [3600] Speed: 253.79 samples/sec Train-top_k_accuracy_5=0.705859 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 257.20 samples/sec Train-accuracy=0.455000 | |
| INFO:root:Epoch[8] Batch [3650] Speed: 257.20 samples/sec Train-top_k_accuracy_5=0.702031 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 261.39 samples/sec Train-accuracy=0.460391 | |
| INFO:root:Epoch[8] Batch [3700] Speed: 261.39 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 255.42 samples/sec Train-accuracy=0.454219 | |
| INFO:root:Epoch[8] Batch [3750] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.705703 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 262.90 samples/sec Train-accuracy=0.449219 | |
| INFO:root:Epoch[8] Batch [3800] Speed: 262.90 samples/sec Train-top_k_accuracy_5=0.697422 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 260.91 samples/sec Train-accuracy=0.456250 | |
| INFO:root:Epoch[8] Batch [3850] Speed: 260.91 samples/sec Train-top_k_accuracy_5=0.702578 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 262.11 samples/sec Train-accuracy=0.466250 | |
| INFO:root:Epoch[8] Batch [3900] Speed: 262.11 samples/sec Train-top_k_accuracy_5=0.713828 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 263.44 samples/sec Train-accuracy=0.451328 | |
| INFO:root:Epoch[8] Batch [3950] Speed: 263.44 samples/sec Train-top_k_accuracy_5=0.697187 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 264.45 samples/sec Train-accuracy=0.453516 | |
| INFO:root:Epoch[8] Batch [4000] Speed: 264.45 samples/sec Train-top_k_accuracy_5=0.699141 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 266.03 samples/sec Train-accuracy=0.467109 | |
| INFO:root:Epoch[8] Batch [4050] Speed: 266.03 samples/sec Train-top_k_accuracy_5=0.711797 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 270.49 samples/sec Train-accuracy=0.454766 | |
| INFO:root:Epoch[8] Batch [4100] Speed: 270.49 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 267.20 samples/sec Train-accuracy=0.454375 | |
| INFO:root:Epoch[8] Batch [4150] Speed: 267.20 samples/sec Train-top_k_accuracy_5=0.706797 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 257.61 samples/sec Train-accuracy=0.452031 | |
| INFO:root:Epoch[8] Batch [4200] Speed: 257.61 samples/sec Train-top_k_accuracy_5=0.699063 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 264.78 samples/sec Train-accuracy=0.453359 | |
| INFO:root:Epoch[8] Batch [4250] Speed: 264.78 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 255.39 samples/sec Train-accuracy=0.462734 | |
| INFO:root:Epoch[8] Batch [4300] Speed: 255.39 samples/sec Train-top_k_accuracy_5=0.707578 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 251.25 samples/sec Train-accuracy=0.459141 | |
| INFO:root:Epoch[8] Batch [4350] Speed: 251.25 samples/sec Train-top_k_accuracy_5=0.703750 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 267.18 samples/sec Train-accuracy=0.456562 | |
| INFO:root:Epoch[8] Batch [4400] Speed: 267.18 samples/sec Train-top_k_accuracy_5=0.700625 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 260.12 samples/sec Train-accuracy=0.452969 | |
| INFO:root:Epoch[8] Batch [4450] Speed: 260.12 samples/sec Train-top_k_accuracy_5=0.703984 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 259.49 samples/sec Train-accuracy=0.449062 | |
| INFO:root:Epoch[8] Batch [4500] Speed: 259.49 samples/sec Train-top_k_accuracy_5=0.700156 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 261.21 samples/sec Train-accuracy=0.451406 | |
| INFO:root:Epoch[8] Batch [4550] Speed: 261.21 samples/sec Train-top_k_accuracy_5=0.702656 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 253.48 samples/sec Train-accuracy=0.461094 | |
| INFO:root:Epoch[8] Batch [4600] Speed: 253.48 samples/sec Train-top_k_accuracy_5=0.714453 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 268.29 samples/sec Train-accuracy=0.446484 | |
| INFO:root:Epoch[8] Batch [4650] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.700703 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 264.34 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[8] Batch [4700] Speed: 264.34 samples/sec Train-top_k_accuracy_5=0.704375 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 245.28 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[8] Batch [4750] Speed: 245.28 samples/sec Train-top_k_accuracy_5=0.704531 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 258.91 samples/sec Train-accuracy=0.458125 | |
| INFO:root:Epoch[8] Batch [4800] Speed: 258.91 samples/sec Train-top_k_accuracy_5=0.703672 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 262.41 samples/sec Train-accuracy=0.452734 | |
| INFO:root:Epoch[8] Batch [4850] Speed: 262.41 samples/sec Train-top_k_accuracy_5=0.706094 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 271.09 samples/sec Train-accuracy=0.459453 | |
| INFO:root:Epoch[8] Batch [4900] Speed: 271.09 samples/sec Train-top_k_accuracy_5=0.708594 | |
| INFO:root:Epoch[8] Batch [4950] Speed: 254.00 samples/sec Train-accuracy=0.453672 | |
| INFO:root:Epoch[8] Batch [4950] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.700156 | |
| INFO:root:Epoch[8] Batch [5000] Speed: 265.92 samples/sec Train-accuracy=0.457969 | |
| INFO:root:Epoch[8] Batch [5000] Speed: 265.92 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[8] Resetting Data Iterator | |
| INFO:root:Epoch[8] Time cost=4864.356 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0009.params" | |
| INFO:root:Epoch[8] Validation-accuracy=0.507235 | |
| INFO:root:Epoch[8] Validation-top_k_accuracy_5=0.769412 | |
| INFO:root:Epoch[9] Batch [50] Speed: 282.13 samples/sec Train-accuracy=0.464375 | |
| INFO:root:Epoch[9] Batch [50] Speed: 282.13 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [100] Speed: 279.64 samples/sec Train-accuracy=0.460469 | |
| INFO:root:Epoch[9] Batch [100] Speed: 279.64 samples/sec Train-top_k_accuracy_5=0.705391 | |
| INFO:root:Epoch[9] Batch [150] Speed: 281.24 samples/sec Train-accuracy=0.453828 | |
| INFO:root:Epoch[9] Batch [150] Speed: 281.24 samples/sec Train-top_k_accuracy_5=0.700781 | |
| INFO:root:Epoch[9] Batch [200] Speed: 282.08 samples/sec Train-accuracy=0.457734 | |
| INFO:root:Epoch[9] Batch [200] Speed: 282.08 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[9] Batch [250] Speed: 275.89 samples/sec Train-accuracy=0.452969 | |
| INFO:root:Epoch[9] Batch [250] Speed: 275.89 samples/sec Train-top_k_accuracy_5=0.705391 | |
| INFO:root:Epoch[9] Batch [300] Speed: 263.97 samples/sec Train-accuracy=0.465938 | |
| INFO:root:Epoch[9] Batch [300] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.708906 | |
| INFO:root:Epoch[9] Batch [350] Speed: 261.52 samples/sec Train-accuracy=0.460859 | |
| INFO:root:Epoch[9] Batch [350] Speed: 261.52 samples/sec Train-top_k_accuracy_5=0.712422 | |
| INFO:root:Epoch[9] Batch [400] Speed: 258.07 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[9] Batch [400] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.711250 | |
| INFO:root:Epoch[9] Batch [450] Speed: 274.61 samples/sec Train-accuracy=0.460156 | |
| INFO:root:Epoch[9] Batch [450] Speed: 274.61 samples/sec Train-top_k_accuracy_5=0.707500 | |
| INFO:root:Epoch[9] Batch [500] Speed: 275.19 samples/sec Train-accuracy=0.461641 | |
| INFO:root:Epoch[9] Batch [500] Speed: 275.19 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[9] Batch [550] Speed: 268.02 samples/sec Train-accuracy=0.454609 | |
| INFO:root:Epoch[9] Batch [550] Speed: 268.02 samples/sec Train-top_k_accuracy_5=0.698906 | |
| INFO:root:Epoch[9] Batch [600] Speed: 272.84 samples/sec Train-accuracy=0.454688 | |
| INFO:root:Epoch[9] Batch [600] Speed: 272.84 samples/sec Train-top_k_accuracy_5=0.705625 | |
| INFO:root:Epoch[9] Batch [650] Speed: 256.15 samples/sec Train-accuracy=0.454922 | |
| INFO:root:Epoch[9] Batch [650] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.701328 | |
| INFO:root:Epoch[9] Batch [700] Speed: 259.63 samples/sec Train-accuracy=0.457891 | |
| INFO:root:Epoch[9] Batch [700] Speed: 259.63 samples/sec Train-top_k_accuracy_5=0.710313 | |
| INFO:root:Epoch[9] Batch [750] Speed: 266.63 samples/sec Train-accuracy=0.461953 | |
| INFO:root:Epoch[9] Batch [750] Speed: 266.63 samples/sec Train-top_k_accuracy_5=0.706328 | |
| INFO:root:Epoch[9] Batch [800] Speed: 266.00 samples/sec Train-accuracy=0.455234 | |
| INFO:root:Epoch[9] Batch [800] Speed: 266.00 samples/sec Train-top_k_accuracy_5=0.698359 | |
| INFO:root:Epoch[9] Batch [850] Speed: 271.12 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[9] Batch [850] Speed: 271.12 samples/sec Train-top_k_accuracy_5=0.705625 | |
| INFO:root:Epoch[9] Batch [900] Speed: 256.83 samples/sec Train-accuracy=0.458672 | |
| INFO:root:Epoch[9] Batch [900] Speed: 256.83 samples/sec Train-top_k_accuracy_5=0.707891 | |
| INFO:root:Epoch[9] Batch [950] Speed: 266.44 samples/sec Train-accuracy=0.458437 | |
| INFO:root:Epoch[9] Batch [950] Speed: 266.44 samples/sec Train-top_k_accuracy_5=0.705078 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 262.92 samples/sec Train-accuracy=0.459375 | |
| INFO:root:Epoch[9] Batch [1000] Speed: 262.92 samples/sec Train-top_k_accuracy_5=0.705313 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 265.40 samples/sec Train-accuracy=0.463828 | |
| INFO:root:Epoch[9] Batch [1050] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.711406 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 269.62 samples/sec Train-accuracy=0.463359 | |
| INFO:root:Epoch[9] Batch [1100] Speed: 269.62 samples/sec Train-top_k_accuracy_5=0.713672 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 256.68 samples/sec Train-accuracy=0.453359 | |
| INFO:root:Epoch[9] Batch [1150] Speed: 256.68 samples/sec Train-top_k_accuracy_5=0.700391 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 259.67 samples/sec Train-accuracy=0.461562 | |
| INFO:root:Epoch[9] Batch [1200] Speed: 259.67 samples/sec Train-top_k_accuracy_5=0.708594 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 258.92 samples/sec Train-accuracy=0.463594 | |
| INFO:root:Epoch[9] Batch [1250] Speed: 258.92 samples/sec Train-top_k_accuracy_5=0.710547 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 247.54 samples/sec Train-accuracy=0.459453 | |
| INFO:root:Epoch[9] Batch [1300] Speed: 247.54 samples/sec Train-top_k_accuracy_5=0.706484 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 267.99 samples/sec Train-accuracy=0.455156 | |
| INFO:root:Epoch[9] Batch [1350] Speed: 267.99 samples/sec Train-top_k_accuracy_5=0.708203 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 264.36 samples/sec Train-accuracy=0.458594 | |
| INFO:root:Epoch[9] Batch [1400] Speed: 264.36 samples/sec Train-top_k_accuracy_5=0.705781 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 260.63 samples/sec Train-accuracy=0.465781 | |
| INFO:root:Epoch[9] Batch [1450] Speed: 260.63 samples/sec Train-top_k_accuracy_5=0.714609 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 243.69 samples/sec Train-accuracy=0.457266 | |
| INFO:root:Epoch[9] Batch [1500] Speed: 243.69 samples/sec Train-top_k_accuracy_5=0.701719 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 257.40 samples/sec Train-accuracy=0.457188 | |
| INFO:root:Epoch[9] Batch [1550] Speed: 257.40 samples/sec Train-top_k_accuracy_5=0.712109 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 258.93 samples/sec Train-accuracy=0.457969 | |
| INFO:root:Epoch[9] Batch [1600] Speed: 258.93 samples/sec Train-top_k_accuracy_5=0.707109 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 256.15 samples/sec Train-accuracy=0.457813 | |
| INFO:root:Epoch[9] Batch [1650] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.707266 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 256.06 samples/sec Train-accuracy=0.450703 | |
| INFO:root:Epoch[9] Batch [1700] Speed: 256.06 samples/sec Train-top_k_accuracy_5=0.706094 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 268.93 samples/sec Train-accuracy=0.457500 | |
| INFO:root:Epoch[9] Batch [1750] Speed: 268.93 samples/sec Train-top_k_accuracy_5=0.707031 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 277.15 samples/sec Train-accuracy=0.462266 | |
| INFO:root:Epoch[9] Batch [1800] Speed: 277.15 samples/sec Train-top_k_accuracy_5=0.707500 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 272.17 samples/sec Train-accuracy=0.454297 | |
| INFO:root:Epoch[9] Batch [1850] Speed: 272.17 samples/sec Train-top_k_accuracy_5=0.705000 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 257.26 samples/sec Train-accuracy=0.455859 | |
| INFO:root:Epoch[9] Batch [1900] Speed: 257.26 samples/sec Train-top_k_accuracy_5=0.706328 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 274.97 samples/sec Train-accuracy=0.459297 | |
| INFO:root:Epoch[9] Batch [1950] Speed: 274.97 samples/sec Train-top_k_accuracy_5=0.709375 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 274.66 samples/sec Train-accuracy=0.460000 | |
| INFO:root:Epoch[9] Batch [2000] Speed: 274.66 samples/sec Train-top_k_accuracy_5=0.708047 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 273.66 samples/sec Train-accuracy=0.457188 | |
| INFO:root:Epoch[9] Batch [2050] Speed: 273.66 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 267.32 samples/sec Train-accuracy=0.464922 | |
| INFO:root:Epoch[9] Batch [2100] Speed: 267.32 samples/sec Train-top_k_accuracy_5=0.715625 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 259.23 samples/sec Train-accuracy=0.468047 | |
| INFO:root:Epoch[9] Batch [2150] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.716797 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 253.60 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [2200] Speed: 253.60 samples/sec Train-top_k_accuracy_5=0.707422 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 258.61 samples/sec Train-accuracy=0.455625 | |
| INFO:root:Epoch[9] Batch [2250] Speed: 258.61 samples/sec Train-top_k_accuracy_5=0.712734 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 265.45 samples/sec Train-accuracy=0.457266 | |
| INFO:root:Epoch[9] Batch [2300] Speed: 265.45 samples/sec Train-top_k_accuracy_5=0.703203 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 260.37 samples/sec Train-accuracy=0.457500 | |
| INFO:root:Epoch[9] Batch [2350] Speed: 260.37 samples/sec Train-top_k_accuracy_5=0.705859 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 267.56 samples/sec Train-accuracy=0.455469 | |
| INFO:root:Epoch[9] Batch [2400] Speed: 267.56 samples/sec Train-top_k_accuracy_5=0.700000 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 256.41 samples/sec Train-accuracy=0.462266 | |
| INFO:root:Epoch[9] Batch [2450] Speed: 256.41 samples/sec Train-top_k_accuracy_5=0.701875 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 259.99 samples/sec Train-accuracy=0.461250 | |
| INFO:root:Epoch[9] Batch [2500] Speed: 259.99 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 263.78 samples/sec Train-accuracy=0.458828 | |
| INFO:root:Epoch[9] Batch [2550] Speed: 263.78 samples/sec Train-top_k_accuracy_5=0.708984 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 255.38 samples/sec Train-accuracy=0.461406 | |
| INFO:root:Epoch[9] Batch [2600] Speed: 255.38 samples/sec Train-top_k_accuracy_5=0.706172 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 265.81 samples/sec Train-accuracy=0.461406 | |
| INFO:root:Epoch[9] Batch [2650] Speed: 265.81 samples/sec Train-top_k_accuracy_5=0.712578 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 260.11 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [2700] Speed: 260.11 samples/sec Train-top_k_accuracy_5=0.707578 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 260.42 samples/sec Train-accuracy=0.468047 | |
| INFO:root:Epoch[9] Batch [2750] Speed: 260.42 samples/sec Train-top_k_accuracy_5=0.714688 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 250.96 samples/sec Train-accuracy=0.458750 | |
| INFO:root:Epoch[9] Batch [2800] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.706328 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 259.83 samples/sec Train-accuracy=0.458359 | |
| INFO:root:Epoch[9] Batch [2850] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.712812 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 268.28 samples/sec Train-accuracy=0.451250 | |
| INFO:root:Epoch[9] Batch [2900] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.704453 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 269.11 samples/sec Train-accuracy=0.456641 | |
| INFO:root:Epoch[9] Batch [2950] Speed: 269.11 samples/sec Train-top_k_accuracy_5=0.707187 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 246.47 samples/sec Train-accuracy=0.460313 | |
| INFO:root:Epoch[9] Batch [3000] Speed: 246.47 samples/sec Train-top_k_accuracy_5=0.709922 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 266.57 samples/sec Train-accuracy=0.456172 | |
| INFO:root:Epoch[9] Batch [3050] Speed: 266.57 samples/sec Train-top_k_accuracy_5=0.706484 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 265.78 samples/sec Train-accuracy=0.466875 | |
| INFO:root:Epoch[9] Batch [3100] Speed: 265.78 samples/sec Train-top_k_accuracy_5=0.711406 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 270.18 samples/sec Train-accuracy=0.455078 | |
| INFO:root:Epoch[9] Batch [3150] Speed: 270.18 samples/sec Train-top_k_accuracy_5=0.703438 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 258.24 samples/sec Train-accuracy=0.467578 | |
| INFO:root:Epoch[9] Batch [3200] Speed: 258.24 samples/sec Train-top_k_accuracy_5=0.708203 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 275.55 samples/sec Train-accuracy=0.457344 | |
| INFO:root:Epoch[9] Batch [3250] Speed: 275.55 samples/sec Train-top_k_accuracy_5=0.714688 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 270.39 samples/sec Train-accuracy=0.461172 | |
| INFO:root:Epoch[9] Batch [3300] Speed: 270.39 samples/sec Train-top_k_accuracy_5=0.715859 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 269.12 samples/sec Train-accuracy=0.455313 | |
| INFO:root:Epoch[9] Batch [3350] Speed: 269.12 samples/sec Train-top_k_accuracy_5=0.706406 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 265.40 samples/sec Train-accuracy=0.461875 | |
| INFO:root:Epoch[9] Batch [3400] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.708047 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 271.80 samples/sec Train-accuracy=0.460469 | |
| INFO:root:Epoch[9] Batch [3450] Speed: 271.80 samples/sec Train-top_k_accuracy_5=0.705391 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 274.62 samples/sec Train-accuracy=0.462813 | |
| INFO:root:Epoch[9] Batch [3500] Speed: 274.62 samples/sec Train-top_k_accuracy_5=0.714766 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 253.52 samples/sec Train-accuracy=0.463672 | |
| INFO:root:Epoch[9] Batch [3550] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.707734 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 252.23 samples/sec Train-accuracy=0.464453 | |
| INFO:root:Epoch[9] Batch [3600] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.718672 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 261.17 samples/sec Train-accuracy=0.460781 | |
| INFO:root:Epoch[9] Batch [3650] Speed: 261.17 samples/sec Train-top_k_accuracy_5=0.713437 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 265.89 samples/sec Train-accuracy=0.459453 | |
| INFO:root:Epoch[9] Batch [3700] Speed: 265.89 samples/sec Train-top_k_accuracy_5=0.708516 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 260.41 samples/sec Train-accuracy=0.457344 | |
| INFO:root:Epoch[9] Batch [3750] Speed: 260.41 samples/sec Train-top_k_accuracy_5=0.704453 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 257.68 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[9] Batch [3800] Speed: 257.68 samples/sec Train-top_k_accuracy_5=0.713281 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 261.01 samples/sec Train-accuracy=0.465781 | |
| INFO:root:Epoch[9] Batch [3850] Speed: 261.01 samples/sec Train-top_k_accuracy_5=0.708750 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 263.71 samples/sec Train-accuracy=0.466328 | |
| INFO:root:Epoch[9] Batch [3900] Speed: 263.71 samples/sec Train-top_k_accuracy_5=0.709063 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 270.53 samples/sec Train-accuracy=0.460078 | |
| INFO:root:Epoch[9] Batch [3950] Speed: 270.53 samples/sec Train-top_k_accuracy_5=0.707266 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 270.06 samples/sec Train-accuracy=0.458594 | |
| INFO:root:Epoch[9] Batch [4000] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.712109 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 271.17 samples/sec Train-accuracy=0.471172 | |
| INFO:root:Epoch[9] Batch [4050] Speed: 271.17 samples/sec Train-top_k_accuracy_5=0.711328 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 270.72 samples/sec Train-accuracy=0.459688 | |
| INFO:root:Epoch[9] Batch [4100] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.707734 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 269.32 samples/sec Train-accuracy=0.468750 | |
| INFO:root:Epoch[9] Batch [4150] Speed: 269.32 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 264.06 samples/sec Train-accuracy=0.457031 | |
| INFO:root:Epoch[9] Batch [4200] Speed: 264.06 samples/sec Train-top_k_accuracy_5=0.706016 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 252.71 samples/sec Train-accuracy=0.458437 | |
| INFO:root:Epoch[9] Batch [4250] Speed: 252.71 samples/sec Train-top_k_accuracy_5=0.710391 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 268.35 samples/sec Train-accuracy=0.462656 | |
| INFO:root:Epoch[9] Batch [4300] Speed: 268.35 samples/sec Train-top_k_accuracy_5=0.715156 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 266.88 samples/sec Train-accuracy=0.456641 | |
| INFO:root:Epoch[9] Batch [4350] Speed: 266.88 samples/sec Train-top_k_accuracy_5=0.707031 | |
| INFO:root:Epoch[9] Batch [4400] Speed: 266.79 samples/sec Train-accuracy=0.465859 | |
| INFO:root:Epoch[9] Batch [4400] Speed: 266.79 samples/sec Train-top_k_accuracy_5=0.709531 | |
| INFO:root:Epoch[9] Batch [4450] Speed: 256.23 samples/sec Train-accuracy=0.466094 | |
| INFO:root:Epoch[9] Batch [4450] Speed: 256.23 samples/sec Train-top_k_accuracy_5=0.708359 | |
| INFO:root:Epoch[9] Batch [4500] Speed: 253.11 samples/sec Train-accuracy=0.460078 | |
| INFO:root:Epoch[9] Batch [4500] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[9] Batch [4550] Speed: 251.80 samples/sec Train-accuracy=0.457422 | |
| INFO:root:Epoch[9] Batch [4550] Speed: 251.80 samples/sec Train-top_k_accuracy_5=0.708203 | |
| INFO:root:Epoch[9] Batch [4600] Speed: 256.16 samples/sec Train-accuracy=0.465078 | |
| INFO:root:Epoch[9] Batch [4600] Speed: 256.16 samples/sec Train-top_k_accuracy_5=0.712812 | |
| INFO:root:Epoch[9] Batch [4650] Speed: 256.94 samples/sec Train-accuracy=0.461719 | |
| INFO:root:Epoch[9] Batch [4650] Speed: 256.94 samples/sec Train-top_k_accuracy_5=0.711328 | |
| INFO:root:Epoch[9] Batch [4700] Speed: 258.48 samples/sec Train-accuracy=0.453984 | |
| INFO:root:Epoch[9] Batch [4700] Speed: 258.48 samples/sec Train-top_k_accuracy_5=0.708750 | |
| INFO:root:Epoch[9] Batch [4750] Speed: 268.56 samples/sec Train-accuracy=0.459453 | |
| INFO:root:Epoch[9] Batch [4750] Speed: 268.56 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[9] Batch [4800] Speed: 260.61 samples/sec Train-accuracy=0.465313 | |
| INFO:root:Epoch[9] Batch [4800] Speed: 260.61 samples/sec Train-top_k_accuracy_5=0.712734 | |
| INFO:root:Epoch[9] Batch [4850] Speed: 256.97 samples/sec Train-accuracy=0.463984 | |
| INFO:root:Epoch[9] Batch [4850] Speed: 256.97 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[9] Batch [4900] Speed: 258.23 samples/sec Train-accuracy=0.466875 | |
| INFO:root:Epoch[9] Batch [4900] Speed: 258.23 samples/sec Train-top_k_accuracy_5=0.714609 | |
| INFO:root:Epoch[9] Batch [4950] Speed: 258.96 samples/sec Train-accuracy=0.466641 | |
| INFO:root:Epoch[9] Batch [4950] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.710156 | |
| INFO:root:Epoch[9] Batch [5000] Speed: 255.35 samples/sec Train-accuracy=0.469062 | |
| INFO:root:Epoch[9] Batch [5000] Speed: 255.35 samples/sec Train-top_k_accuracy_5=0.715547 | |
| INFO:root:Epoch[9] Resetting Data Iterator | |
| INFO:root:Epoch[9] Time cost=4861.636 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0010.params" | |
| INFO:root:Epoch[9] Validation-accuracy=0.522421 | |
| INFO:root:Epoch[9] Validation-top_k_accuracy_5=0.776706 | |
| INFO:root:Epoch[10] Batch [50] Speed: 283.45 samples/sec Train-accuracy=0.468672 | |
| INFO:root:Epoch[10] Batch [50] Speed: 283.45 samples/sec Train-top_k_accuracy_5=0.717578 | |
| INFO:root:Epoch[10] Batch [100] Speed: 280.78 samples/sec Train-accuracy=0.465234 | |
| INFO:root:Epoch[10] Batch [100] Speed: 280.78 samples/sec Train-top_k_accuracy_5=0.704688 | |
| INFO:root:Epoch[10] Batch [150] Speed: 278.44 samples/sec Train-accuracy=0.462500 | |
| INFO:root:Epoch[10] Batch [150] Speed: 278.44 samples/sec Train-top_k_accuracy_5=0.709531 | |
| INFO:root:Epoch[10] Batch [200] Speed: 278.51 samples/sec Train-accuracy=0.464922 | |
| INFO:root:Epoch[10] Batch [200] Speed: 278.51 samples/sec Train-top_k_accuracy_5=0.713750 | |
| INFO:root:Epoch[10] Batch [250] Speed: 272.96 samples/sec Train-accuracy=0.456953 | |
| INFO:root:Epoch[10] Batch [250] Speed: 272.96 samples/sec Train-top_k_accuracy_5=0.707891 | |
| INFO:root:Epoch[10] Batch [300] Speed: 251.95 samples/sec Train-accuracy=0.467734 | |
| INFO:root:Epoch[10] Batch [300] Speed: 251.95 samples/sec Train-top_k_accuracy_5=0.716250 | |
| INFO:root:Epoch[10] Batch [350] Speed: 244.63 samples/sec Train-accuracy=0.467266 | |
| INFO:root:Epoch[10] Batch [350] Speed: 244.63 samples/sec Train-top_k_accuracy_5=0.713516 | |
| INFO:root:Epoch[10] Batch [400] Speed: 249.84 samples/sec Train-accuracy=0.469844 | |
| INFO:root:Epoch[10] Batch [400] Speed: 249.84 samples/sec Train-top_k_accuracy_5=0.714531 | |
| INFO:root:Epoch[10] Batch [450] Speed: 245.95 samples/sec Train-accuracy=0.461562 | |
| INFO:root:Epoch[10] Batch [450] Speed: 245.95 samples/sec Train-top_k_accuracy_5=0.713594 | |
| INFO:root:Epoch[10] Batch [500] Speed: 272.50 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[10] Batch [500] Speed: 272.50 samples/sec Train-top_k_accuracy_5=0.712969 | |
| INFO:root:Epoch[10] Batch [550] Speed: 268.69 samples/sec Train-accuracy=0.469922 | |
| INFO:root:Epoch[10] Batch [550] Speed: 268.69 samples/sec Train-top_k_accuracy_5=0.715703 | |
| INFO:root:Epoch[10] Batch [600] Speed: 270.19 samples/sec Train-accuracy=0.452422 | |
| INFO:root:Epoch[10] Batch [600] Speed: 270.19 samples/sec Train-top_k_accuracy_5=0.702109 | |
| INFO:root:Epoch[10] Batch [650] Speed: 277.55 samples/sec Train-accuracy=0.456484 | |
| INFO:root:Epoch[10] Batch [650] Speed: 277.55 samples/sec Train-top_k_accuracy_5=0.712031 | |
| INFO:root:Epoch[10] Batch [700] Speed: 268.40 samples/sec Train-accuracy=0.462656 | |
| INFO:root:Epoch[10] Batch [700] Speed: 268.40 samples/sec Train-top_k_accuracy_5=0.706797 | |
| INFO:root:Epoch[10] Batch [750] Speed: 264.29 samples/sec Train-accuracy=0.470391 | |
| INFO:root:Epoch[10] Batch [750] Speed: 264.29 samples/sec Train-top_k_accuracy_5=0.711328 | |
| INFO:root:Epoch[10] Batch [800] Speed: 264.52 samples/sec Train-accuracy=0.460547 | |
| INFO:root:Epoch[10] Batch [800] Speed: 264.52 samples/sec Train-top_k_accuracy_5=0.705547 | |
| INFO:root:Epoch[10] Batch [850] Speed: 277.77 samples/sec Train-accuracy=0.459531 | |
| INFO:root:Epoch[10] Batch [850] Speed: 277.77 samples/sec Train-top_k_accuracy_5=0.705234 | |
| INFO:root:Epoch[10] Batch [900] Speed: 268.06 samples/sec Train-accuracy=0.463047 | |
| INFO:root:Epoch[10] Batch [900] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.713672 | |
| INFO:root:Epoch[10] Batch [950] Speed: 273.06 samples/sec Train-accuracy=0.460547 | |
| INFO:root:Epoch[10] Batch [950] Speed: 273.06 samples/sec Train-top_k_accuracy_5=0.709531 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 272.01 samples/sec Train-accuracy=0.455625 | |
| INFO:root:Epoch[10] Batch [1000] Speed: 272.01 samples/sec Train-top_k_accuracy_5=0.705078 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 270.06 samples/sec Train-accuracy=0.465938 | |
| INFO:root:Epoch[10] Batch [1050] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.713516 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 267.88 samples/sec Train-accuracy=0.469531 | |
| INFO:root:Epoch[10] Batch [1100] Speed: 267.88 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 261.93 samples/sec Train-accuracy=0.458359 | |
| INFO:root:Epoch[10] Batch [1150] Speed: 261.93 samples/sec Train-top_k_accuracy_5=0.700547 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 263.94 samples/sec Train-accuracy=0.459844 | |
| INFO:root:Epoch[10] Batch [1200] Speed: 263.94 samples/sec Train-top_k_accuracy_5=0.711406 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 262.39 samples/sec Train-accuracy=0.454375 | |
| INFO:root:Epoch[10] Batch [1250] Speed: 262.39 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 257.20 samples/sec Train-accuracy=0.469609 | |
| INFO:root:Epoch[10] Batch [1300] Speed: 257.20 samples/sec Train-top_k_accuracy_5=0.716797 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 274.83 samples/sec Train-accuracy=0.465703 | |
| INFO:root:Epoch[10] Batch [1350] Speed: 274.83 samples/sec Train-top_k_accuracy_5=0.715938 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 261.77 samples/sec Train-accuracy=0.465391 | |
| INFO:root:Epoch[10] Batch [1400] Speed: 261.77 samples/sec Train-top_k_accuracy_5=0.715859 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 272.29 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[10] Batch [1450] Speed: 272.29 samples/sec Train-top_k_accuracy_5=0.720625 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 274.87 samples/sec Train-accuracy=0.464844 | |
| INFO:root:Epoch[10] Batch [1500] Speed: 274.87 samples/sec Train-top_k_accuracy_5=0.710703 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 266.45 samples/sec Train-accuracy=0.473203 | |
| INFO:root:Epoch[10] Batch [1550] Speed: 266.45 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 268.29 samples/sec Train-accuracy=0.473203 | |
| INFO:root:Epoch[10] Batch [1600] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.716719 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 254.26 samples/sec Train-accuracy=0.466484 | |
| INFO:root:Epoch[10] Batch [1650] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.713906 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 252.47 samples/sec Train-accuracy=0.455625 | |
| INFO:root:Epoch[10] Batch [1700] Speed: 252.47 samples/sec Train-top_k_accuracy_5=0.707578 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 252.04 samples/sec Train-accuracy=0.472031 | |
| INFO:root:Epoch[10] Batch [1750] Speed: 252.04 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 256.12 samples/sec Train-accuracy=0.466172 | |
| INFO:root:Epoch[10] Batch [1800] Speed: 256.12 samples/sec Train-top_k_accuracy_5=0.716328 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 266.74 samples/sec Train-accuracy=0.465156 | |
| INFO:root:Epoch[10] Batch [1850] Speed: 266.74 samples/sec Train-top_k_accuracy_5=0.710000 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 267.16 samples/sec Train-accuracy=0.468516 | |
| INFO:root:Epoch[10] Batch [1900] Speed: 267.16 samples/sec Train-top_k_accuracy_5=0.714375 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 264.04 samples/sec Train-accuracy=0.475547 | |
| INFO:root:Epoch[10] Batch [1950] Speed: 264.04 samples/sec Train-top_k_accuracy_5=0.708281 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 264.17 samples/sec Train-accuracy=0.461328 | |
| INFO:root:Epoch[10] Batch [2000] Speed: 264.17 samples/sec Train-top_k_accuracy_5=0.712109 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 262.95 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[10] Batch [2050] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.714688 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 260.27 samples/sec Train-accuracy=0.472344 | |
| INFO:root:Epoch[10] Batch [2100] Speed: 260.27 samples/sec Train-top_k_accuracy_5=0.714063 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 259.26 samples/sec Train-accuracy=0.476172 | |
| INFO:root:Epoch[10] Batch [2150] Speed: 259.26 samples/sec Train-top_k_accuracy_5=0.727578 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 269.49 samples/sec Train-accuracy=0.472891 | |
| INFO:root:Epoch[10] Batch [2200] Speed: 269.49 samples/sec Train-top_k_accuracy_5=0.716094 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 260.10 samples/sec Train-accuracy=0.466094 | |
| INFO:root:Epoch[10] Batch [2250] Speed: 260.10 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 268.50 samples/sec Train-accuracy=0.469766 | |
| INFO:root:Epoch[10] Batch [2300] Speed: 268.50 samples/sec Train-top_k_accuracy_5=0.715000 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 265.39 samples/sec Train-accuracy=0.461406 | |
| INFO:root:Epoch[10] Batch [2350] Speed: 265.39 samples/sec Train-top_k_accuracy_5=0.712266 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 261.97 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[10] Batch [2400] Speed: 261.97 samples/sec Train-top_k_accuracy_5=0.708984 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 257.16 samples/sec Train-accuracy=0.459609 | |
| INFO:root:Epoch[10] Batch [2450] Speed: 257.16 samples/sec Train-top_k_accuracy_5=0.708125 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 248.90 samples/sec Train-accuracy=0.465469 | |
| INFO:root:Epoch[10] Batch [2500] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.714609 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 262.12 samples/sec Train-accuracy=0.462422 | |
| INFO:root:Epoch[10] Batch [2550] Speed: 262.12 samples/sec Train-top_k_accuracy_5=0.714375 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 270.42 samples/sec Train-accuracy=0.462422 | |
| INFO:root:Epoch[10] Batch [2600] Speed: 270.42 samples/sec Train-top_k_accuracy_5=0.706250 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 249.89 samples/sec Train-accuracy=0.472734 | |
| INFO:root:Epoch[10] Batch [2650] Speed: 249.89 samples/sec Train-top_k_accuracy_5=0.718359 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 252.42 samples/sec Train-accuracy=0.470547 | |
| INFO:root:Epoch[10] Batch [2700] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.710313 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 253.90 samples/sec Train-accuracy=0.468594 | |
| INFO:root:Epoch[10] Batch [2750] Speed: 253.90 samples/sec Train-top_k_accuracy_5=0.718672 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 260.05 samples/sec Train-accuracy=0.471953 | |
| INFO:root:Epoch[10] Batch [2800] Speed: 260.05 samples/sec Train-top_k_accuracy_5=0.712969 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 255.56 samples/sec Train-accuracy=0.467656 | |
| INFO:root:Epoch[10] Batch [2850] Speed: 255.56 samples/sec Train-top_k_accuracy_5=0.715234 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 259.89 samples/sec Train-accuracy=0.465469 | |
| INFO:root:Epoch[10] Batch [2900] Speed: 259.89 samples/sec Train-top_k_accuracy_5=0.717187 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 252.27 samples/sec Train-accuracy=0.466406 | |
| INFO:root:Epoch[10] Batch [2950] Speed: 252.27 samples/sec Train-top_k_accuracy_5=0.713437 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 245.15 samples/sec Train-accuracy=0.461953 | |
| INFO:root:Epoch[10] Batch [3000] Speed: 245.15 samples/sec Train-top_k_accuracy_5=0.707734 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 240.47 samples/sec Train-accuracy=0.469297 | |
| INFO:root:Epoch[10] Batch [3050] Speed: 240.47 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 258.65 samples/sec Train-accuracy=0.463438 | |
| INFO:root:Epoch[10] Batch [3100] Speed: 258.65 samples/sec Train-top_k_accuracy_5=0.714141 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 256.55 samples/sec Train-accuracy=0.462031 | |
| INFO:root:Epoch[10] Batch [3150] Speed: 256.55 samples/sec Train-top_k_accuracy_5=0.708516 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 259.19 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[10] Batch [3200] Speed: 259.19 samples/sec Train-top_k_accuracy_5=0.719375 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 258.01 samples/sec Train-accuracy=0.465234 | |
| INFO:root:Epoch[10] Batch [3250] Speed: 258.01 samples/sec Train-top_k_accuracy_5=0.716641 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 253.67 samples/sec Train-accuracy=0.465938 | |
| INFO:root:Epoch[10] Batch [3300] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.717578 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 258.49 samples/sec Train-accuracy=0.461875 | |
| INFO:root:Epoch[10] Batch [3350] Speed: 258.49 samples/sec Train-top_k_accuracy_5=0.707344 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 272.88 samples/sec Train-accuracy=0.467109 | |
| INFO:root:Epoch[10] Batch [3400] Speed: 272.88 samples/sec Train-top_k_accuracy_5=0.711484 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 250.84 samples/sec Train-accuracy=0.458984 | |
| INFO:root:Epoch[10] Batch [3450] Speed: 250.84 samples/sec Train-top_k_accuracy_5=0.708828 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 252.37 samples/sec Train-accuracy=0.473828 | |
| INFO:root:Epoch[10] Batch [3500] Speed: 252.37 samples/sec Train-top_k_accuracy_5=0.722422 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 253.41 samples/sec Train-accuracy=0.469219 | |
| INFO:root:Epoch[10] Batch [3550] Speed: 253.41 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 257.81 samples/sec Train-accuracy=0.472031 | |
| INFO:root:Epoch[10] Batch [3600] Speed: 257.81 samples/sec Train-top_k_accuracy_5=0.715469 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 263.58 samples/sec Train-accuracy=0.467578 | |
| INFO:root:Epoch[10] Batch [3650] Speed: 263.58 samples/sec Train-top_k_accuracy_5=0.713125 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 268.16 samples/sec Train-accuracy=0.473828 | |
| INFO:root:Epoch[10] Batch [3700] Speed: 268.16 samples/sec Train-top_k_accuracy_5=0.719063 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 261.24 samples/sec Train-accuracy=0.465078 | |
| INFO:root:Epoch[10] Batch [3750] Speed: 261.24 samples/sec Train-top_k_accuracy_5=0.709844 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 246.03 samples/sec Train-accuracy=0.464062 | |
| INFO:root:Epoch[10] Batch [3800] Speed: 246.03 samples/sec Train-top_k_accuracy_5=0.709297 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 245.43 samples/sec Train-accuracy=0.471719 | |
| INFO:root:Epoch[10] Batch [3850] Speed: 245.43 samples/sec Train-top_k_accuracy_5=0.718047 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 262.13 samples/sec Train-accuracy=0.474219 | |
| INFO:root:Epoch[10] Batch [3900] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.720078 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 251.27 samples/sec Train-accuracy=0.465078 | |
| INFO:root:Epoch[10] Batch [3950] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.711016 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 252.82 samples/sec Train-accuracy=0.466328 | |
| INFO:root:Epoch[10] Batch [4000] Speed: 252.82 samples/sec Train-top_k_accuracy_5=0.716875 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 264.54 samples/sec Train-accuracy=0.473047 | |
| INFO:root:Epoch[10] Batch [4050] Speed: 264.54 samples/sec Train-top_k_accuracy_5=0.720469 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 273.13 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[10] Batch [4100] Speed: 273.13 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 267.56 samples/sec Train-accuracy=0.470625 | |
| INFO:root:Epoch[10] Batch [4150] Speed: 267.56 samples/sec Train-top_k_accuracy_5=0.715859 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 266.98 samples/sec Train-accuracy=0.471094 | |
| INFO:root:Epoch[10] Batch [4200] Speed: 266.98 samples/sec Train-top_k_accuracy_5=0.720781 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 274.97 samples/sec Train-accuracy=0.466719 | |
| INFO:root:Epoch[10] Batch [4250] Speed: 274.97 samples/sec Train-top_k_accuracy_5=0.716406 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 267.38 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[10] Batch [4300] Speed: 267.38 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 256.97 samples/sec Train-accuracy=0.466562 | |
| INFO:root:Epoch[10] Batch [4350] Speed: 256.97 samples/sec Train-top_k_accuracy_5=0.715547 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 250.64 samples/sec Train-accuracy=0.470391 | |
| INFO:root:Epoch[10] Batch [4400] Speed: 250.64 samples/sec Train-top_k_accuracy_5=0.719453 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 251.24 samples/sec Train-accuracy=0.466484 | |
| INFO:root:Epoch[10] Batch [4450] Speed: 251.24 samples/sec Train-top_k_accuracy_5=0.717109 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 258.40 samples/sec Train-accuracy=0.468516 | |
| INFO:root:Epoch[10] Batch [4500] Speed: 258.40 samples/sec Train-top_k_accuracy_5=0.717109 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 252.40 samples/sec Train-accuracy=0.458828 | |
| INFO:root:Epoch[10] Batch [4550] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.713984 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 260.29 samples/sec Train-accuracy=0.470625 | |
| INFO:root:Epoch[10] Batch [4600] Speed: 260.29 samples/sec Train-top_k_accuracy_5=0.716406 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 264.96 samples/sec Train-accuracy=0.460234 | |
| INFO:root:Epoch[10] Batch [4650] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.707109 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 268.45 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[10] Batch [4700] Speed: 268.45 samples/sec Train-top_k_accuracy_5=0.713672 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 258.36 samples/sec Train-accuracy=0.464375 | |
| INFO:root:Epoch[10] Batch [4750] Speed: 258.36 samples/sec Train-top_k_accuracy_5=0.711484 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 271.03 samples/sec Train-accuracy=0.467969 | |
| INFO:root:Epoch[10] Batch [4800] Speed: 271.03 samples/sec Train-top_k_accuracy_5=0.719453 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 272.40 samples/sec Train-accuracy=0.462969 | |
| INFO:root:Epoch[10] Batch [4850] Speed: 272.40 samples/sec Train-top_k_accuracy_5=0.713203 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 255.82 samples/sec Train-accuracy=0.469922 | |
| INFO:root:Epoch[10] Batch [4900] Speed: 255.82 samples/sec Train-top_k_accuracy_5=0.716562 | |
| INFO:root:Epoch[10] Batch [4950] Speed: 256.43 samples/sec Train-accuracy=0.456797 | |
| INFO:root:Epoch[10] Batch [4950] Speed: 256.43 samples/sec Train-top_k_accuracy_5=0.708984 | |
| INFO:root:Epoch[10] Batch [5000] Speed: 252.24 samples/sec Train-accuracy=0.469687 | |
| INFO:root:Epoch[10] Batch [5000] Speed: 252.24 samples/sec Train-top_k_accuracy_5=0.716328 | |
| INFO:root:Epoch[10] Resetting Data Iterator | |
| INFO:root:Epoch[10] Time cost=4899.176 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0011.params" | |
| INFO:root:Epoch[10] Validation-accuracy=0.495775 | |
| INFO:root:Epoch[10] Validation-top_k_accuracy_5=0.755142 | |
| INFO:root:Epoch[11] Batch [50] Speed: 285.23 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[11] Batch [50] Speed: 285.23 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[11] Batch [100] Speed: 279.96 samples/sec Train-accuracy=0.467109 | |
| INFO:root:Epoch[11] Batch [100] Speed: 279.96 samples/sec Train-top_k_accuracy_5=0.709766 | |
| INFO:root:Epoch[11] Batch [150] Speed: 269.90 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[11] Batch [150] Speed: 269.90 samples/sec Train-top_k_accuracy_5=0.718672 | |
| INFO:root:Epoch[11] Batch [200] Speed: 276.62 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[11] Batch [200] Speed: 276.62 samples/sec Train-top_k_accuracy_5=0.715781 | |
| INFO:root:Epoch[11] Batch [250] Speed: 261.72 samples/sec Train-accuracy=0.468125 | |
| INFO:root:Epoch[11] Batch [250] Speed: 261.72 samples/sec Train-top_k_accuracy_5=0.719375 | |
| INFO:root:Epoch[11] Batch [300] Speed: 252.86 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[11] Batch [300] Speed: 252.86 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[11] Batch [350] Speed: 257.67 samples/sec Train-accuracy=0.470781 | |
| INFO:root:Epoch[11] Batch [350] Speed: 257.67 samples/sec Train-top_k_accuracy_5=0.718750 | |
| INFO:root:Epoch[11] Batch [400] Speed: 244.22 samples/sec Train-accuracy=0.472266 | |
| INFO:root:Epoch[11] Batch [400] Speed: 244.22 samples/sec Train-top_k_accuracy_5=0.722656 | |
| INFO:root:Epoch[11] Batch [450] Speed: 249.78 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[11] Batch [450] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[11] Batch [500] Speed: 254.74 samples/sec Train-accuracy=0.468906 | |
| INFO:root:Epoch[11] Batch [500] Speed: 254.74 samples/sec Train-top_k_accuracy_5=0.714141 | |
| INFO:root:Epoch[11] Batch [550] Speed: 240.65 samples/sec Train-accuracy=0.466719 | |
| INFO:root:Epoch[11] Batch [550] Speed: 240.65 samples/sec Train-top_k_accuracy_5=0.711094 | |
| INFO:root:Epoch[11] Batch [600] Speed: 261.84 samples/sec Train-accuracy=0.463359 | |
| INFO:root:Epoch[11] Batch [600] Speed: 261.84 samples/sec Train-top_k_accuracy_5=0.708828 | |
| INFO:root:Epoch[11] Batch [650] Speed: 270.05 samples/sec Train-accuracy=0.463750 | |
| INFO:root:Epoch[11] Batch [650] Speed: 270.05 samples/sec Train-top_k_accuracy_5=0.717578 | |
| INFO:root:Epoch[11] Batch [700] Speed: 275.37 samples/sec Train-accuracy=0.470469 | |
| INFO:root:Epoch[11] Batch [700] Speed: 275.37 samples/sec Train-top_k_accuracy_5=0.713359 | |
| INFO:root:Epoch[11] Batch [750] Speed: 267.31 samples/sec Train-accuracy=0.472109 | |
| INFO:root:Epoch[11] Batch [750] Speed: 267.31 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[11] Batch [800] Speed: 263.75 samples/sec Train-accuracy=0.455781 | |
| INFO:root:Epoch[11] Batch [800] Speed: 263.75 samples/sec Train-top_k_accuracy_5=0.706172 | |
| INFO:root:Epoch[11] Batch [850] Speed: 259.71 samples/sec Train-accuracy=0.465703 | |
| INFO:root:Epoch[11] Batch [850] Speed: 259.71 samples/sec Train-top_k_accuracy_5=0.713672 | |
| INFO:root:Epoch[11] Batch [900] Speed: 269.22 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[11] Batch [900] Speed: 269.22 samples/sec Train-top_k_accuracy_5=0.713594 | |
| INFO:root:Epoch[11] Batch [950] Speed: 262.60 samples/sec Train-accuracy=0.468906 | |
| INFO:root:Epoch[11] Batch [950] Speed: 262.60 samples/sec Train-top_k_accuracy_5=0.720078 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 257.17 samples/sec Train-accuracy=0.474844 | |
| INFO:root:Epoch[11] Batch [1000] Speed: 257.17 samples/sec Train-top_k_accuracy_5=0.716641 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 265.26 samples/sec Train-accuracy=0.466484 | |
| INFO:root:Epoch[11] Batch [1050] Speed: 265.26 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 246.14 samples/sec Train-accuracy=0.476953 | |
| INFO:root:Epoch[11] Batch [1100] Speed: 246.14 samples/sec Train-top_k_accuracy_5=0.721797 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 262.95 samples/sec Train-accuracy=0.469922 | |
| INFO:root:Epoch[11] Batch [1150] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 271.76 samples/sec Train-accuracy=0.473594 | |
| INFO:root:Epoch[11] Batch [1200] Speed: 271.76 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 271.08 samples/sec Train-accuracy=0.468203 | |
| INFO:root:Epoch[11] Batch [1250] Speed: 271.08 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 269.12 samples/sec Train-accuracy=0.466797 | |
| INFO:root:Epoch[11] Batch [1300] Speed: 269.12 samples/sec Train-top_k_accuracy_5=0.714688 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 258.82 samples/sec Train-accuracy=0.469062 | |
| INFO:root:Epoch[11] Batch [1350] Speed: 258.82 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 276.26 samples/sec Train-accuracy=0.472109 | |
| INFO:root:Epoch[11] Batch [1400] Speed: 276.26 samples/sec Train-top_k_accuracy_5=0.721172 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 256.71 samples/sec Train-accuracy=0.474531 | |
| INFO:root:Epoch[11] Batch [1450] Speed: 256.71 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 261.91 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[11] Batch [1500] Speed: 261.91 samples/sec Train-top_k_accuracy_5=0.713047 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 273.65 samples/sec Train-accuracy=0.479922 | |
| INFO:root:Epoch[11] Batch [1550] Speed: 273.65 samples/sec Train-top_k_accuracy_5=0.721094 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 274.42 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[11] Batch [1600] Speed: 274.42 samples/sec Train-top_k_accuracy_5=0.714922 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 268.07 samples/sec Train-accuracy=0.471953 | |
| INFO:root:Epoch[11] Batch [1650] Speed: 268.07 samples/sec Train-top_k_accuracy_5=0.721484 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 268.79 samples/sec Train-accuracy=0.464609 | |
| INFO:root:Epoch[11] Batch [1700] Speed: 268.79 samples/sec Train-top_k_accuracy_5=0.715156 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 273.61 samples/sec Train-accuracy=0.466328 | |
| INFO:root:Epoch[11] Batch [1750] Speed: 273.61 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 266.38 samples/sec Train-accuracy=0.467734 | |
| INFO:root:Epoch[11] Batch [1800] Speed: 266.38 samples/sec Train-top_k_accuracy_5=0.720078 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 262.88 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[11] Batch [1850] Speed: 262.88 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 265.77 samples/sec Train-accuracy=0.469766 | |
| INFO:root:Epoch[11] Batch [1900] Speed: 265.77 samples/sec Train-top_k_accuracy_5=0.714922 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 261.20 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[11] Batch [1950] Speed: 261.20 samples/sec Train-top_k_accuracy_5=0.715156 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 268.49 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[11] Batch [2000] Speed: 268.49 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 269.82 samples/sec Train-accuracy=0.470156 | |
| INFO:root:Epoch[11] Batch [2050] Speed: 269.82 samples/sec Train-top_k_accuracy_5=0.714453 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 268.90 samples/sec Train-accuracy=0.470234 | |
| INFO:root:Epoch[11] Batch [2100] Speed: 268.90 samples/sec Train-top_k_accuracy_5=0.721719 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 255.11 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[11] Batch [2150] Speed: 255.11 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 262.44 samples/sec Train-accuracy=0.470859 | |
| INFO:root:Epoch[11] Batch [2200] Speed: 262.44 samples/sec Train-top_k_accuracy_5=0.719375 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 261.16 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[11] Batch [2250] Speed: 261.16 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 259.37 samples/sec Train-accuracy=0.473125 | |
| INFO:root:Epoch[11] Batch [2300] Speed: 259.37 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 266.51 samples/sec Train-accuracy=0.478438 | |
| INFO:root:Epoch[11] Batch [2350] Speed: 266.51 samples/sec Train-top_k_accuracy_5=0.726406 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 267.32 samples/sec Train-accuracy=0.468047 | |
| INFO:root:Epoch[11] Batch [2400] Speed: 267.32 samples/sec Train-top_k_accuracy_5=0.713281 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 265.37 samples/sec Train-accuracy=0.469922 | |
| INFO:root:Epoch[11] Batch [2450] Speed: 265.37 samples/sec Train-top_k_accuracy_5=0.715859 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 266.02 samples/sec Train-accuracy=0.466719 | |
| INFO:root:Epoch[11] Batch [2500] Speed: 266.02 samples/sec Train-top_k_accuracy_5=0.715156 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 265.70 samples/sec Train-accuracy=0.469062 | |
| INFO:root:Epoch[11] Batch [2550] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.713828 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 262.22 samples/sec Train-accuracy=0.462187 | |
| INFO:root:Epoch[11] Batch [2600] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.712266 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 258.51 samples/sec Train-accuracy=0.471328 | |
| INFO:root:Epoch[11] Batch [2650] Speed: 258.51 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 256.73 samples/sec Train-accuracy=0.471875 | |
| INFO:root:Epoch[11] Batch [2700] Speed: 256.73 samples/sec Train-top_k_accuracy_5=0.716797 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 261.13 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[11] Batch [2750] Speed: 261.13 samples/sec Train-top_k_accuracy_5=0.725156 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 263.73 samples/sec Train-accuracy=0.466094 | |
| INFO:root:Epoch[11] Batch [2800] Speed: 263.73 samples/sec Train-top_k_accuracy_5=0.712656 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 261.59 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[11] Batch [2850] Speed: 261.59 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 255.55 samples/sec Train-accuracy=0.468828 | |
| INFO:root:Epoch[11] Batch [2900] Speed: 255.55 samples/sec Train-top_k_accuracy_5=0.718281 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 255.70 samples/sec Train-accuracy=0.466406 | |
| INFO:root:Epoch[11] Batch [2950] Speed: 255.70 samples/sec Train-top_k_accuracy_5=0.714063 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 260.83 samples/sec Train-accuracy=0.472031 | |
| INFO:root:Epoch[11] Batch [3000] Speed: 260.83 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 271.81 samples/sec Train-accuracy=0.470547 | |
| INFO:root:Epoch[11] Batch [3050] Speed: 271.81 samples/sec Train-top_k_accuracy_5=0.716797 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 273.99 samples/sec Train-accuracy=0.473047 | |
| INFO:root:Epoch[11] Batch [3100] Speed: 273.99 samples/sec Train-top_k_accuracy_5=0.724219 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 268.00 samples/sec Train-accuracy=0.468281 | |
| INFO:root:Epoch[11] Batch [3150] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 273.10 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[11] Batch [3200] Speed: 273.10 samples/sec Train-top_k_accuracy_5=0.718750 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 275.61 samples/sec Train-accuracy=0.459766 | |
| INFO:root:Epoch[11] Batch [3250] Speed: 275.61 samples/sec Train-top_k_accuracy_5=0.719219 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 277.27 samples/sec Train-accuracy=0.464453 | |
| INFO:root:Epoch[11] Batch [3300] Speed: 277.27 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 276.00 samples/sec Train-accuracy=0.475156 | |
| INFO:root:Epoch[11] Batch [3350] Speed: 276.00 samples/sec Train-top_k_accuracy_5=0.716172 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 264.68 samples/sec Train-accuracy=0.477109 | |
| INFO:root:Epoch[11] Batch [3400] Speed: 264.68 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 262.61 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [3450] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 257.05 samples/sec Train-accuracy=0.470313 | |
| INFO:root:Epoch[11] Batch [3500] Speed: 257.05 samples/sec Train-top_k_accuracy_5=0.714219 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 259.33 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[11] Batch [3550] Speed: 259.33 samples/sec Train-top_k_accuracy_5=0.721094 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 267.54 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[11] Batch [3600] Speed: 267.54 samples/sec Train-top_k_accuracy_5=0.716875 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 263.88 samples/sec Train-accuracy=0.475625 | |
| INFO:root:Epoch[11] Batch [3650] Speed: 263.88 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 273.19 samples/sec Train-accuracy=0.477031 | |
| INFO:root:Epoch[11] Batch [3700] Speed: 273.19 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 261.61 samples/sec Train-accuracy=0.465234 | |
| INFO:root:Epoch[11] Batch [3750] Speed: 261.61 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 274.53 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [3800] Speed: 274.53 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 274.23 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[11] Batch [3850] Speed: 274.23 samples/sec Train-top_k_accuracy_5=0.727500 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 265.38 samples/sec Train-accuracy=0.484219 | |
| INFO:root:Epoch[11] Batch [3900] Speed: 265.38 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 268.31 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[11] Batch [3950] Speed: 268.31 samples/sec Train-top_k_accuracy_5=0.715859 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 274.67 samples/sec Train-accuracy=0.461953 | |
| INFO:root:Epoch[11] Batch [4000] Speed: 274.67 samples/sec Train-top_k_accuracy_5=0.715000 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 269.71 samples/sec Train-accuracy=0.476328 | |
| INFO:root:Epoch[11] Batch [4050] Speed: 269.71 samples/sec Train-top_k_accuracy_5=0.721484 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 275.00 samples/sec Train-accuracy=0.474062 | |
| INFO:root:Epoch[11] Batch [4100] Speed: 275.00 samples/sec Train-top_k_accuracy_5=0.724219 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 268.16 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[11] Batch [4150] Speed: 268.16 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 269.35 samples/sec Train-accuracy=0.470234 | |
| INFO:root:Epoch[11] Batch [4200] Speed: 269.35 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 273.98 samples/sec Train-accuracy=0.476328 | |
| INFO:root:Epoch[11] Batch [4250] Speed: 273.98 samples/sec Train-top_k_accuracy_5=0.721094 | |
| INFO:root:Epoch[11] Batch [4300] Speed: 268.94 samples/sec Train-accuracy=0.479766 | |
| INFO:root:Epoch[11] Batch [4300] Speed: 268.94 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[11] Batch [4350] Speed: 272.11 samples/sec Train-accuracy=0.471016 | |
| INFO:root:Epoch[11] Batch [4350] Speed: 272.11 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [4400] Speed: 272.39 samples/sec Train-accuracy=0.472656 | |
| INFO:root:Epoch[11] Batch [4400] Speed: 272.39 samples/sec Train-top_k_accuracy_5=0.722344 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 270.55 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[11] Batch [4450] Speed: 270.55 samples/sec Train-top_k_accuracy_5=0.715703 | |
| INFO:root:Epoch[11] Batch [4500] Speed: 268.05 samples/sec Train-accuracy=0.469141 | |
| INFO:root:Epoch[11] Batch [4500] Speed: 268.05 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 264.23 samples/sec Train-accuracy=0.474297 | |
| INFO:root:Epoch[11] Batch [4550] Speed: 264.23 samples/sec Train-top_k_accuracy_5=0.720313 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 276.19 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[11] Batch [4600] Speed: 276.19 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 273.52 samples/sec Train-accuracy=0.468984 | |
| INFO:root:Epoch[11] Batch [4650] Speed: 273.52 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 269.79 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[11] Batch [4700] Speed: 269.79 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 269.97 samples/sec Train-accuracy=0.468828 | |
| INFO:root:Epoch[11] Batch [4750] Speed: 269.97 samples/sec Train-top_k_accuracy_5=0.718437 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 271.96 samples/sec Train-accuracy=0.468906 | |
| INFO:root:Epoch[11] Batch [4800] Speed: 271.96 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 272.14 samples/sec Train-accuracy=0.475313 | |
| INFO:root:Epoch[11] Batch [4850] Speed: 272.14 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 266.49 samples/sec Train-accuracy=0.473906 | |
| INFO:root:Epoch[11] Batch [4900] Speed: 266.49 samples/sec Train-top_k_accuracy_5=0.716406 | |
| INFO:root:Epoch[11] Batch [4950] Speed: 261.76 samples/sec Train-accuracy=0.474844 | |
| INFO:root:Epoch[11] Batch [4950] Speed: 261.76 samples/sec Train-top_k_accuracy_5=0.716953 | |
| INFO:root:Epoch[11] Batch [5000] Speed: 273.97 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[11] Batch [5000] Speed: 273.97 samples/sec Train-top_k_accuracy_5=0.728906 | |
| INFO:root:Epoch[11] Resetting Data Iterator | |
| INFO:root:Epoch[11] Time cost=4817.222 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0012.params" | |
| INFO:root:Epoch[11] Validation-accuracy=0.525690 | |
| INFO:root:Epoch[11] Validation-top_k_accuracy_5=0.782785 | |
| INFO:root:Epoch[12] Batch [50] Speed: 284.53 samples/sec Train-accuracy=0.484219 | |
| INFO:root:Epoch[12] Batch [50] Speed: 284.53 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[12] Batch [100] Speed: 278.16 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[12] Batch [100] Speed: 278.16 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[12] Batch [150] Speed: 279.24 samples/sec Train-accuracy=0.467813 | |
| INFO:root:Epoch[12] Batch [150] Speed: 279.24 samples/sec Train-top_k_accuracy_5=0.716484 | |
| INFO:root:Epoch[12] Batch [200] Speed: 279.04 samples/sec Train-accuracy=0.481641 | |
| INFO:root:Epoch[12] Batch [200] Speed: 279.04 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[12] Batch [250] Speed: 277.18 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[12] Batch [250] Speed: 277.18 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[12] Batch [300] Speed: 255.41 samples/sec Train-accuracy=0.471406 | |
| INFO:root:Epoch[12] Batch [300] Speed: 255.41 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[12] Batch [350] Speed: 256.32 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[12] Batch [350] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[12] Batch [400] Speed: 250.28 samples/sec Train-accuracy=0.472344 | |
| INFO:root:Epoch[12] Batch [400] Speed: 250.28 samples/sec Train-top_k_accuracy_5=0.717812 | |
| INFO:root:Epoch[12] Batch [450] Speed: 259.75 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[12] Batch [450] Speed: 259.75 samples/sec Train-top_k_accuracy_5=0.723594 | |
| INFO:root:Epoch[12] Batch [500] Speed: 253.95 samples/sec Train-accuracy=0.472969 | |
| INFO:root:Epoch[12] Batch [500] Speed: 253.95 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[12] Batch [550] Speed: 259.79 samples/sec Train-accuracy=0.478828 | |
| INFO:root:Epoch[12] Batch [550] Speed: 259.79 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[12] Batch [600] Speed: 262.40 samples/sec Train-accuracy=0.465313 | |
| INFO:root:Epoch[12] Batch [600] Speed: 262.40 samples/sec Train-top_k_accuracy_5=0.716484 | |
| INFO:root:Epoch[12] Batch [650] Speed: 264.93 samples/sec Train-accuracy=0.472031 | |
| INFO:root:Epoch[12] Batch [650] Speed: 264.93 samples/sec Train-top_k_accuracy_5=0.717500 | |
| INFO:root:Epoch[12] Batch [700] Speed: 263.79 samples/sec Train-accuracy=0.476953 | |
| INFO:root:Epoch[12] Batch [700] Speed: 263.79 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[12] Batch [750] Speed: 266.32 samples/sec Train-accuracy=0.468125 | |
| INFO:root:Epoch[12] Batch [750] Speed: 266.32 samples/sec Train-top_k_accuracy_5=0.719688 | |
| INFO:root:Epoch[12] Batch [800] Speed: 270.14 samples/sec Train-accuracy=0.465547 | |
| INFO:root:Epoch[12] Batch [800] Speed: 270.14 samples/sec Train-top_k_accuracy_5=0.712891 | |
| INFO:root:Epoch[12] Batch [850] Speed: 268.40 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[12] Batch [850] Speed: 268.40 samples/sec Train-top_k_accuracy_5=0.715313 | |
| INFO:root:Epoch[12] Batch [900] Speed: 272.68 samples/sec Train-accuracy=0.471719 | |
| INFO:root:Epoch[12] Batch [900] Speed: 272.68 samples/sec Train-top_k_accuracy_5=0.723359 | |
| INFO:root:Epoch[12] Batch [950] Speed: 271.96 samples/sec Train-accuracy=0.471484 | |
| INFO:root:Epoch[12] Batch [950] Speed: 271.96 samples/sec Train-top_k_accuracy_5=0.715391 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 264.49 samples/sec Train-accuracy=0.464062 | |
| INFO:root:Epoch[12] Batch [1000] Speed: 264.49 samples/sec Train-top_k_accuracy_5=0.720156 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 260.44 samples/sec Train-accuracy=0.475625 | |
| INFO:root:Epoch[12] Batch [1050] Speed: 260.44 samples/sec Train-top_k_accuracy_5=0.721406 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 262.23 samples/sec Train-accuracy=0.479531 | |
| INFO:root:Epoch[12] Batch [1100] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 270.67 samples/sec Train-accuracy=0.465469 | |
| INFO:root:Epoch[12] Batch [1150] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.717422 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 271.63 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[12] Batch [1200] Speed: 271.63 samples/sec Train-top_k_accuracy_5=0.717266 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 268.69 samples/sec Train-accuracy=0.472187 | |
| INFO:root:Epoch[12] Batch [1250] Speed: 268.69 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 262.75 samples/sec Train-accuracy=0.471875 | |
| INFO:root:Epoch[12] Batch [1300] Speed: 262.75 samples/sec Train-top_k_accuracy_5=0.719297 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 262.58 samples/sec Train-accuracy=0.469766 | |
| INFO:root:Epoch[12] Batch [1350] Speed: 262.58 samples/sec Train-top_k_accuracy_5=0.714531 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 268.47 samples/sec Train-accuracy=0.476406 | |
| INFO:root:Epoch[12] Batch [1400] Speed: 268.47 samples/sec Train-top_k_accuracy_5=0.724297 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 265.55 samples/sec Train-accuracy=0.478516 | |
| INFO:root:Epoch[12] Batch [1450] Speed: 265.55 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 268.65 samples/sec Train-accuracy=0.474453 | |
| INFO:root:Epoch[12] Batch [1500] Speed: 268.65 samples/sec Train-top_k_accuracy_5=0.723750 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 256.03 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[12] Batch [1550] Speed: 256.03 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 262.56 samples/sec Train-accuracy=0.483672 | |
| INFO:root:Epoch[12] Batch [1600] Speed: 262.56 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 247.00 samples/sec Train-accuracy=0.477109 | |
| INFO:root:Epoch[12] Batch [1650] Speed: 247.00 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 246.73 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[12] Batch [1700] Speed: 246.73 samples/sec Train-top_k_accuracy_5=0.717031 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 242.88 samples/sec Train-accuracy=0.477266 | |
| INFO:root:Epoch[12] Batch [1750] Speed: 242.88 samples/sec Train-top_k_accuracy_5=0.721562 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 244.77 samples/sec Train-accuracy=0.474062 | |
| INFO:root:Epoch[12] Batch [1800] Speed: 244.77 samples/sec Train-top_k_accuracy_5=0.720938 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 260.17 samples/sec Train-accuracy=0.473906 | |
| INFO:root:Epoch[12] Batch [1850] Speed: 260.17 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 268.45 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[12] Batch [1900] Speed: 268.45 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 247.72 samples/sec Train-accuracy=0.476484 | |
| INFO:root:Epoch[12] Batch [1950] Speed: 247.72 samples/sec Train-top_k_accuracy_5=0.714922 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 252.61 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[12] Batch [2000] Speed: 252.61 samples/sec Train-top_k_accuracy_5=0.716875 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 249.90 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[12] Batch [2050] Speed: 249.90 samples/sec Train-top_k_accuracy_5=0.721641 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 262.64 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[12] Batch [2100] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.719922 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 253.57 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[12] Batch [2150] Speed: 253.57 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 239.70 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[12] Batch [2200] Speed: 239.70 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 246.82 samples/sec Train-accuracy=0.476172 | |
| INFO:root:Epoch[12] Batch [2250] Speed: 246.82 samples/sec Train-top_k_accuracy_5=0.721406 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 255.42 samples/sec Train-accuracy=0.470000 | |
| INFO:root:Epoch[12] Batch [2300] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 243.79 samples/sec Train-accuracy=0.471094 | |
| INFO:root:Epoch[12] Batch [2350] Speed: 243.79 samples/sec Train-top_k_accuracy_5=0.723828 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 259.00 samples/sec Train-accuracy=0.472266 | |
| INFO:root:Epoch[12] Batch [2400] Speed: 259.00 samples/sec Train-top_k_accuracy_5=0.715781 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 267.44 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[12] Batch [2450] Speed: 267.44 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 263.46 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[12] Batch [2500] Speed: 263.46 samples/sec Train-top_k_accuracy_5=0.723906 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 267.98 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[12] Batch [2550] Speed: 267.98 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 259.08 samples/sec Train-accuracy=0.462813 | |
| INFO:root:Epoch[12] Batch [2600] Speed: 259.08 samples/sec Train-top_k_accuracy_5=0.721797 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 261.09 samples/sec Train-accuracy=0.480234 | |
| INFO:root:Epoch[12] Batch [2650] Speed: 261.09 samples/sec Train-top_k_accuracy_5=0.719141 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 267.71 samples/sec Train-accuracy=0.475859 | |
| INFO:root:Epoch[12] Batch [2700] Speed: 267.71 samples/sec Train-top_k_accuracy_5=0.723750 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 245.05 samples/sec Train-accuracy=0.479219 | |
| INFO:root:Epoch[12] Batch [2750] Speed: 245.05 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 263.74 samples/sec Train-accuracy=0.478984 | |
| INFO:root:Epoch[12] Batch [2800] Speed: 263.74 samples/sec Train-top_k_accuracy_5=0.721875 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 264.79 samples/sec Train-accuracy=0.475313 | |
| INFO:root:Epoch[12] Batch [2850] Speed: 264.79 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 270.08 samples/sec Train-accuracy=0.474844 | |
| INFO:root:Epoch[12] Batch [2900] Speed: 270.08 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 264.66 samples/sec Train-accuracy=0.474609 | |
| INFO:root:Epoch[12] Batch [2950] Speed: 264.66 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 248.02 samples/sec Train-accuracy=0.472656 | |
| INFO:root:Epoch[12] Batch [3000] Speed: 248.02 samples/sec Train-top_k_accuracy_5=0.721172 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 269.96 samples/sec Train-accuracy=0.473828 | |
| INFO:root:Epoch[12] Batch [3050] Speed: 269.96 samples/sec Train-top_k_accuracy_5=0.720625 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 265.87 samples/sec Train-accuracy=0.471172 | |
| INFO:root:Epoch[12] Batch [3100] Speed: 265.87 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 258.41 samples/sec Train-accuracy=0.472656 | |
| INFO:root:Epoch[12] Batch [3150] Speed: 258.41 samples/sec Train-top_k_accuracy_5=0.718047 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 264.95 samples/sec Train-accuracy=0.473125 | |
| INFO:root:Epoch[12] Batch [3200] Speed: 264.95 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 262.17 samples/sec Train-accuracy=0.470078 | |
| INFO:root:Epoch[12] Batch [3250] Speed: 262.17 samples/sec Train-top_k_accuracy_5=0.719531 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 271.81 samples/sec Train-accuracy=0.472578 | |
| INFO:root:Epoch[12] Batch [3300] Speed: 271.81 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 276.33 samples/sec Train-accuracy=0.472578 | |
| INFO:root:Epoch[12] Batch [3350] Speed: 276.33 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 275.26 samples/sec Train-accuracy=0.475859 | |
| INFO:root:Epoch[12] Batch [3400] Speed: 275.26 samples/sec Train-top_k_accuracy_5=0.722969 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 276.70 samples/sec Train-accuracy=0.473516 | |
| INFO:root:Epoch[12] Batch [3450] Speed: 276.70 samples/sec Train-top_k_accuracy_5=0.720078 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 275.53 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[12] Batch [3500] Speed: 275.53 samples/sec Train-top_k_accuracy_5=0.725391 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 275.81 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[12] Batch [3550] Speed: 275.81 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 276.23 samples/sec Train-accuracy=0.481875 | |
| INFO:root:Epoch[12] Batch [3600] Speed: 276.23 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 276.69 samples/sec Train-accuracy=0.472969 | |
| INFO:root:Epoch[12] Batch [3650] Speed: 276.69 samples/sec Train-top_k_accuracy_5=0.727266 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 268.92 samples/sec Train-accuracy=0.479609 | |
| INFO:root:Epoch[12] Batch [3700] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.723672 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 275.71 samples/sec Train-accuracy=0.476094 | |
| INFO:root:Epoch[12] Batch [3750] Speed: 275.71 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 275.62 samples/sec Train-accuracy=0.474297 | |
| INFO:root:Epoch[12] Batch [3800] Speed: 275.62 samples/sec Train-top_k_accuracy_5=0.721719 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 272.05 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[12] Batch [3850] Speed: 272.05 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 269.02 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[12] Batch [3900] Speed: 269.02 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 271.86 samples/sec Train-accuracy=0.472031 | |
| INFO:root:Epoch[12] Batch [3950] Speed: 271.86 samples/sec Train-top_k_accuracy_5=0.718203 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 267.14 samples/sec Train-accuracy=0.470703 | |
| INFO:root:Epoch[12] Batch [4000] Speed: 267.14 samples/sec Train-top_k_accuracy_5=0.716484 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 272.60 samples/sec Train-accuracy=0.481172 | |
| INFO:root:Epoch[12] Batch [4050] Speed: 272.60 samples/sec Train-top_k_accuracy_5=0.726797 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 276.79 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[12] Batch [4100] Speed: 276.79 samples/sec Train-top_k_accuracy_5=0.720234 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 268.01 samples/sec Train-accuracy=0.470938 | |
| INFO:root:Epoch[12] Batch [4150] Speed: 268.01 samples/sec Train-top_k_accuracy_5=0.723672 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 265.79 samples/sec Train-accuracy=0.475156 | |
| INFO:root:Epoch[12] Batch [4200] Speed: 265.79 samples/sec Train-top_k_accuracy_5=0.718516 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 269.85 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[12] Batch [4250] Speed: 269.85 samples/sec Train-top_k_accuracy_5=0.725469 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 263.66 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[12] Batch [4300] Speed: 263.66 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 260.62 samples/sec Train-accuracy=0.472344 | |
| INFO:root:Epoch[12] Batch [4350] Speed: 260.62 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 259.24 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[12] Batch [4400] Speed: 259.24 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 261.71 samples/sec Train-accuracy=0.476484 | |
| INFO:root:Epoch[12] Batch [4450] Speed: 261.71 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 261.72 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[12] Batch [4500] Speed: 261.72 samples/sec Train-top_k_accuracy_5=0.724844 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 272.20 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[12] Batch [4550] Speed: 272.20 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 252.30 samples/sec Train-accuracy=0.472422 | |
| INFO:root:Epoch[12] Batch [4600] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.719688 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 259.10 samples/sec Train-accuracy=0.474062 | |
| INFO:root:Epoch[12] Batch [4650] Speed: 259.10 samples/sec Train-top_k_accuracy_5=0.720000 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 251.04 samples/sec Train-accuracy=0.473047 | |
| INFO:root:Epoch[12] Batch [4700] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 263.12 samples/sec Train-accuracy=0.468594 | |
| INFO:root:Epoch[12] Batch [4750] Speed: 263.12 samples/sec Train-top_k_accuracy_5=0.717109 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 267.88 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[12] Batch [4800] Speed: 267.88 samples/sec Train-top_k_accuracy_5=0.724141 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 269.43 samples/sec Train-accuracy=0.478516 | |
| INFO:root:Epoch[12] Batch [4850] Speed: 269.43 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 273.75 samples/sec Train-accuracy=0.475234 | |
| INFO:root:Epoch[12] Batch [4900] Speed: 273.75 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[12] Batch [4950] Speed: 264.40 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[12] Batch [4950] Speed: 264.40 samples/sec Train-top_k_accuracy_5=0.723750 | |
| INFO:root:Epoch[12] Batch [5000] Speed: 270.90 samples/sec Train-accuracy=0.478984 | |
| INFO:root:Epoch[12] Batch [5000] Speed: 270.90 samples/sec Train-top_k_accuracy_5=0.724609 | |
| INFO:root:Epoch[12] Resetting Data Iterator | |
| INFO:root:Epoch[12] Time cost=4857.396 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0013.params" | |
| INFO:root:Epoch[12] Validation-accuracy=0.534917 | |
| INFO:root:Epoch[12] Validation-top_k_accuracy_5=0.787468 | |
| INFO:root:Epoch[13] Batch [50] Speed: 286.37 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[13] Batch [50] Speed: 286.37 samples/sec Train-top_k_accuracy_5=0.727578 | |
| INFO:root:Epoch[13] Batch [100] Speed: 280.68 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[13] Batch [100] Speed: 280.68 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[13] Batch [150] Speed: 278.62 samples/sec Train-accuracy=0.476719 | |
| INFO:root:Epoch[13] Batch [150] Speed: 278.62 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[13] Batch [200] Speed: 275.61 samples/sec Train-accuracy=0.478047 | |
| INFO:root:Epoch[13] Batch [200] Speed: 275.61 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[13] Batch [250] Speed: 256.35 samples/sec Train-accuracy=0.472266 | |
| INFO:root:Epoch[13] Batch [250] Speed: 256.35 samples/sec Train-top_k_accuracy_5=0.718281 | |
| INFO:root:Epoch[13] Batch [300] Speed: 267.68 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[13] Batch [300] Speed: 267.68 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[13] Batch [350] Speed: 259.39 samples/sec Train-accuracy=0.477578 | |
| INFO:root:Epoch[13] Batch [350] Speed: 259.39 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [400] Speed: 260.17 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[13] Batch [400] Speed: 260.17 samples/sec Train-top_k_accuracy_5=0.726484 | |
| INFO:root:Epoch[13] Batch [450] Speed: 260.24 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[13] Batch [450] Speed: 260.24 samples/sec Train-top_k_accuracy_5=0.728359 | |
| INFO:root:Epoch[13] Batch [500] Speed: 250.68 samples/sec Train-accuracy=0.482344 | |
| INFO:root:Epoch[13] Batch [500] Speed: 250.68 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[13] Batch [550] Speed: 266.10 samples/sec Train-accuracy=0.471641 | |
| INFO:root:Epoch[13] Batch [550] Speed: 266.10 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[13] Batch [600] Speed: 273.25 samples/sec Train-accuracy=0.469844 | |
| INFO:root:Epoch[13] Batch [600] Speed: 273.25 samples/sec Train-top_k_accuracy_5=0.719063 | |
| INFO:root:Epoch[13] Batch [650] Speed: 254.28 samples/sec Train-accuracy=0.471484 | |
| INFO:root:Epoch[13] Batch [650] Speed: 254.28 samples/sec Train-top_k_accuracy_5=0.723281 | |
| INFO:root:Epoch[13] Batch [700] Speed: 252.07 samples/sec Train-accuracy=0.476719 | |
| INFO:root:Epoch[13] Batch [700] Speed: 252.07 samples/sec Train-top_k_accuracy_5=0.726016 | |
| INFO:root:Epoch[13] Batch [750] Speed: 260.55 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[13] Batch [750] Speed: 260.55 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[13] Batch [800] Speed: 259.13 samples/sec Train-accuracy=0.476562 | |
| INFO:root:Epoch[13] Batch [800] Speed: 259.13 samples/sec Train-top_k_accuracy_5=0.720156 | |
| INFO:root:Epoch[13] Batch [850] Speed: 262.83 samples/sec Train-accuracy=0.476719 | |
| INFO:root:Epoch[13] Batch [850] Speed: 262.83 samples/sec Train-top_k_accuracy_5=0.716953 | |
| INFO:root:Epoch[13] Batch [900] Speed: 275.90 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[13] Batch [900] Speed: 275.90 samples/sec Train-top_k_accuracy_5=0.716250 | |
| INFO:root:Epoch[13] Batch [950] Speed: 255.94 samples/sec Train-accuracy=0.473984 | |
| INFO:root:Epoch[13] Batch [950] Speed: 255.94 samples/sec Train-top_k_accuracy_5=0.721797 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 250.24 samples/sec Train-accuracy=0.474687 | |
| INFO:root:Epoch[13] Batch [1000] Speed: 250.24 samples/sec Train-top_k_accuracy_5=0.719609 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 267.01 samples/sec Train-accuracy=0.477734 | |
| INFO:root:Epoch[13] Batch [1050] Speed: 267.01 samples/sec Train-top_k_accuracy_5=0.725391 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 263.97 samples/sec Train-accuracy=0.477422 | |
| INFO:root:Epoch[13] Batch [1100] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 269.19 samples/sec Train-accuracy=0.477812 | |
| INFO:root:Epoch[13] Batch [1150] Speed: 269.19 samples/sec Train-top_k_accuracy_5=0.720938 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 272.54 samples/sec Train-accuracy=0.473203 | |
| INFO:root:Epoch[13] Batch [1200] Speed: 272.54 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 275.68 samples/sec Train-accuracy=0.477734 | |
| INFO:root:Epoch[13] Batch [1250] Speed: 275.68 samples/sec Train-top_k_accuracy_5=0.719453 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 266.69 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[13] Batch [1300] Speed: 266.69 samples/sec Train-top_k_accuracy_5=0.723594 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 268.73 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[13] Batch [1350] Speed: 268.73 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 266.19 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[13] Batch [1400] Speed: 266.19 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 273.34 samples/sec Train-accuracy=0.479687 | |
| INFO:root:Epoch[13] Batch [1450] Speed: 273.34 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 265.88 samples/sec Train-accuracy=0.482500 | |
| INFO:root:Epoch[13] Batch [1500] Speed: 265.88 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 260.54 samples/sec Train-accuracy=0.482812 | |
| INFO:root:Epoch[13] Batch [1550] Speed: 260.54 samples/sec Train-top_k_accuracy_5=0.726641 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 252.16 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[13] Batch [1600] Speed: 252.16 samples/sec Train-top_k_accuracy_5=0.726250 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 264.98 samples/sec Train-accuracy=0.482656 | |
| INFO:root:Epoch[13] Batch [1650] Speed: 264.98 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 271.33 samples/sec Train-accuracy=0.471094 | |
| INFO:root:Epoch[13] Batch [1700] Speed: 271.33 samples/sec Train-top_k_accuracy_5=0.720156 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 274.19 samples/sec Train-accuracy=0.473750 | |
| INFO:root:Epoch[13] Batch [1750] Speed: 274.19 samples/sec Train-top_k_accuracy_5=0.718750 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 272.75 samples/sec Train-accuracy=0.470938 | |
| INFO:root:Epoch[13] Batch [1800] Speed: 272.75 samples/sec Train-top_k_accuracy_5=0.724688 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 270.81 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[13] Batch [1850] Speed: 270.81 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 273.54 samples/sec Train-accuracy=0.475781 | |
| INFO:root:Epoch[13] Batch [1900] Speed: 273.54 samples/sec Train-top_k_accuracy_5=0.722891 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 277.29 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[13] Batch [1950] Speed: 277.29 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 275.31 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[13] Batch [2000] Speed: 275.31 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 278.60 samples/sec Train-accuracy=0.474062 | |
| INFO:root:Epoch[13] Batch [2050] Speed: 278.60 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 262.59 samples/sec Train-accuracy=0.478125 | |
| INFO:root:Epoch[13] Batch [2100] Speed: 262.59 samples/sec Train-top_k_accuracy_5=0.719063 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 256.51 samples/sec Train-accuracy=0.489531 | |
| INFO:root:Epoch[13] Batch [2150] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 255.48 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[13] Batch [2200] Speed: 255.48 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 252.00 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[13] Batch [2250] Speed: 252.00 samples/sec Train-top_k_accuracy_5=0.727266 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 247.23 samples/sec Train-accuracy=0.478203 | |
| INFO:root:Epoch[13] Batch [2300] Speed: 247.23 samples/sec Train-top_k_accuracy_5=0.726250 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 242.43 samples/sec Train-accuracy=0.481797 | |
| INFO:root:Epoch[13] Batch [2350] Speed: 242.43 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 250.62 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[13] Batch [2400] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.717891 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 266.12 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[13] Batch [2450] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.718828 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 264.67 samples/sec Train-accuracy=0.475156 | |
| INFO:root:Epoch[13] Batch [2500] Speed: 264.67 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 263.00 samples/sec Train-accuracy=0.473594 | |
| INFO:root:Epoch[13] Batch [2550] Speed: 263.00 samples/sec Train-top_k_accuracy_5=0.717344 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 258.70 samples/sec Train-accuracy=0.467422 | |
| INFO:root:Epoch[13] Batch [2600] Speed: 258.70 samples/sec Train-top_k_accuracy_5=0.716016 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 269.26 samples/sec Train-accuracy=0.478281 | |
| INFO:root:Epoch[13] Batch [2650] Speed: 269.26 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 256.61 samples/sec Train-accuracy=0.481484 | |
| INFO:root:Epoch[13] Batch [2700] Speed: 256.61 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 259.07 samples/sec Train-accuracy=0.488750 | |
| INFO:root:Epoch[13] Batch [2750] Speed: 259.07 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 268.02 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[13] Batch [2800] Speed: 268.02 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 268.16 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[13] Batch [2850] Speed: 268.16 samples/sec Train-top_k_accuracy_5=0.727031 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 254.71 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [2900] Speed: 254.71 samples/sec Train-top_k_accuracy_5=0.726016 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 267.78 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[13] Batch [2950] Speed: 267.78 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 268.98 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[13] Batch [3000] Speed: 268.98 samples/sec Train-top_k_accuracy_5=0.719141 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 265.63 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[13] Batch [3050] Speed: 265.63 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 268.82 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[13] Batch [3100] Speed: 268.82 samples/sec Train-top_k_accuracy_5=0.727969 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 270.88 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[13] Batch [3150] Speed: 270.88 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 260.53 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[13] Batch [3200] Speed: 260.53 samples/sec Train-top_k_accuracy_5=0.730703 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 266.28 samples/sec Train-accuracy=0.479219 | |
| INFO:root:Epoch[13] Batch [3250] Speed: 266.28 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 252.16 samples/sec Train-accuracy=0.479141 | |
| INFO:root:Epoch[13] Batch [3300] Speed: 252.16 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 261.46 samples/sec Train-accuracy=0.472969 | |
| INFO:root:Epoch[13] Batch [3350] Speed: 261.46 samples/sec Train-top_k_accuracy_5=0.721641 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 243.79 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[13] Batch [3400] Speed: 243.79 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 249.14 samples/sec Train-accuracy=0.476562 | |
| INFO:root:Epoch[13] Batch [3450] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 254.02 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[13] Batch [3500] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.724375 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 263.87 samples/sec Train-accuracy=0.485156 | |
| INFO:root:Epoch[13] Batch [3550] Speed: 263.87 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 265.63 samples/sec Train-accuracy=0.483047 | |
| INFO:root:Epoch[13] Batch [3600] Speed: 265.63 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 263.04 samples/sec Train-accuracy=0.481172 | |
| INFO:root:Epoch[13] Batch [3650] Speed: 263.04 samples/sec Train-top_k_accuracy_5=0.724219 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 261.56 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[13] Batch [3700] Speed: 261.56 samples/sec Train-top_k_accuracy_5=0.725625 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 270.57 samples/sec Train-accuracy=0.478203 | |
| INFO:root:Epoch[13] Batch [3750] Speed: 270.57 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 271.01 samples/sec Train-accuracy=0.479531 | |
| INFO:root:Epoch[13] Batch [3800] Speed: 271.01 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 268.71 samples/sec Train-accuracy=0.474297 | |
| INFO:root:Epoch[13] Batch [3850] Speed: 268.71 samples/sec Train-top_k_accuracy_5=0.728359 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 277.68 samples/sec Train-accuracy=0.483750 | |
| INFO:root:Epoch[13] Batch [3900] Speed: 277.68 samples/sec Train-top_k_accuracy_5=0.727734 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 267.43 samples/sec Train-accuracy=0.482656 | |
| INFO:root:Epoch[13] Batch [3950] Speed: 267.43 samples/sec Train-top_k_accuracy_5=0.718906 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 251.72 samples/sec Train-accuracy=0.475469 | |
| INFO:root:Epoch[13] Batch [4000] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 267.44 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[13] Batch [4050] Speed: 267.44 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 277.40 samples/sec Train-accuracy=0.481016 | |
| INFO:root:Epoch[13] Batch [4100] Speed: 277.40 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 269.64 samples/sec Train-accuracy=0.482266 | |
| INFO:root:Epoch[13] Batch [4150] Speed: 269.64 samples/sec Train-top_k_accuracy_5=0.724844 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 271.38 samples/sec Train-accuracy=0.479297 | |
| INFO:root:Epoch[13] Batch [4200] Speed: 271.38 samples/sec Train-top_k_accuracy_5=0.722812 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 273.52 samples/sec Train-accuracy=0.478438 | |
| INFO:root:Epoch[13] Batch [4250] Speed: 273.52 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 272.73 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[13] Batch [4300] Speed: 272.73 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 272.88 samples/sec Train-accuracy=0.479297 | |
| INFO:root:Epoch[13] Batch [4350] Speed: 272.88 samples/sec Train-top_k_accuracy_5=0.719688 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 268.94 samples/sec Train-accuracy=0.480703 | |
| INFO:root:Epoch[13] Batch [4400] Speed: 268.94 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 272.87 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[13] Batch [4450] Speed: 272.87 samples/sec Train-top_k_accuracy_5=0.723359 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 268.23 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[13] Batch [4500] Speed: 268.23 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 268.55 samples/sec Train-accuracy=0.485859 | |
| INFO:root:Epoch[13] Batch [4550] Speed: 268.55 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 263.88 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[13] Batch [4600] Speed: 263.88 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 270.78 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[13] Batch [4650] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 265.74 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[13] Batch [4700] Speed: 265.74 samples/sec Train-top_k_accuracy_5=0.723437 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 269.64 samples/sec Train-accuracy=0.476953 | |
| INFO:root:Epoch[13] Batch [4750] Speed: 269.64 samples/sec Train-top_k_accuracy_5=0.720391 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 257.20 samples/sec Train-accuracy=0.481016 | |
| INFO:root:Epoch[13] Batch [4800] Speed: 257.20 samples/sec Train-top_k_accuracy_5=0.727969 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 261.52 samples/sec Train-accuracy=0.478750 | |
| INFO:root:Epoch[13] Batch [4850] Speed: 261.52 samples/sec Train-top_k_accuracy_5=0.724141 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 254.18 samples/sec Train-accuracy=0.487891 | |
| INFO:root:Epoch[13] Batch [4900] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[13] Batch [4950] Speed: 262.76 samples/sec Train-accuracy=0.476250 | |
| INFO:root:Epoch[13] Batch [4950] Speed: 262.76 samples/sec Train-top_k_accuracy_5=0.718125 | |
| INFO:root:Epoch[13] Batch [5000] Speed: 244.23 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[13] Batch [5000] Speed: 244.23 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[13] Resetting Data Iterator | |
| INFO:root:Epoch[13] Time cost=4846.026 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0014.params" | |
| INFO:root:Epoch[13] Validation-accuracy=0.535814 | |
| INFO:root:Epoch[13] Validation-top_k_accuracy_5=0.790218 | |
| INFO:root:Epoch[14] Batch [50] Speed: 284.87 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[14] Batch [50] Speed: 284.87 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[14] Batch [100] Speed: 280.68 samples/sec Train-accuracy=0.482031 | |
| INFO:root:Epoch[14] Batch [100] Speed: 280.68 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[14] Batch [150] Speed: 280.97 samples/sec Train-accuracy=0.475781 | |
| INFO:root:Epoch[14] Batch [150] Speed: 280.97 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[14] Batch [200] Speed: 280.13 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[14] Batch [200] Speed: 280.13 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[14] Batch [250] Speed: 272.98 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[14] Batch [250] Speed: 272.98 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[14] Batch [300] Speed: 248.35 samples/sec Train-accuracy=0.484609 | |
| INFO:root:Epoch[14] Batch [300] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[14] Batch [350] Speed: 259.35 samples/sec Train-accuracy=0.480547 | |
| INFO:root:Epoch[14] Batch [350] Speed: 259.35 samples/sec Train-top_k_accuracy_5=0.722031 | |
| INFO:root:Epoch[14] Batch [400] Speed: 264.26 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[14] Batch [400] Speed: 264.26 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[14] Batch [450] Speed: 267.05 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[14] Batch [450] Speed: 267.05 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[14] Batch [500] Speed: 256.29 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[14] Batch [500] Speed: 256.29 samples/sec Train-top_k_accuracy_5=0.723203 | |
| INFO:root:Epoch[14] Batch [550] Speed: 254.74 samples/sec Train-accuracy=0.477734 | |
| INFO:root:Epoch[14] Batch [550] Speed: 254.74 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[14] Batch [600] Speed: 250.45 samples/sec Train-accuracy=0.483281 | |
| INFO:root:Epoch[14] Batch [600] Speed: 250.45 samples/sec Train-top_k_accuracy_5=0.726406 | |
| INFO:root:Epoch[14] Batch [650] Speed: 260.10 samples/sec Train-accuracy=0.478672 | |
| INFO:root:Epoch[14] Batch [650] Speed: 260.10 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[14] Batch [700] Speed: 258.82 samples/sec Train-accuracy=0.476641 | |
| INFO:root:Epoch[14] Batch [700] Speed: 258.82 samples/sec Train-top_k_accuracy_5=0.725859 | |
| INFO:root:Epoch[14] Batch [750] Speed: 264.86 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[14] Batch [750] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.726562 | |
| INFO:root:Epoch[14] Batch [800] Speed: 265.43 samples/sec Train-accuracy=0.475469 | |
| INFO:root:Epoch[14] Batch [800] Speed: 265.43 samples/sec Train-top_k_accuracy_5=0.717656 | |
| INFO:root:Epoch[14] Batch [850] Speed: 256.90 samples/sec Train-accuracy=0.474375 | |
| INFO:root:Epoch[14] Batch [850] Speed: 256.90 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[14] Batch [900] Speed: 265.97 samples/sec Train-accuracy=0.485469 | |
| INFO:root:Epoch[14] Batch [900] Speed: 265.97 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[14] Batch [950] Speed: 275.64 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[14] Batch [950] Speed: 275.64 samples/sec Train-top_k_accuracy_5=0.723047 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 267.93 samples/sec Train-accuracy=0.474844 | |
| INFO:root:Epoch[14] Batch [1000] Speed: 267.93 samples/sec Train-top_k_accuracy_5=0.719609 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 263.42 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[14] Batch [1050] Speed: 263.42 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 270.96 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[14] Batch [1100] Speed: 270.96 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 268.24 samples/sec Train-accuracy=0.478281 | |
| INFO:root:Epoch[14] Batch [1150] Speed: 268.24 samples/sec Train-top_k_accuracy_5=0.719375 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 265.37 samples/sec Train-accuracy=0.481797 | |
| INFO:root:Epoch[14] Batch [1200] Speed: 265.37 samples/sec Train-top_k_accuracy_5=0.726172 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 271.95 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[14] Batch [1250] Speed: 271.95 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 258.56 samples/sec Train-accuracy=0.477891 | |
| INFO:root:Epoch[14] Batch [1300] Speed: 258.56 samples/sec Train-top_k_accuracy_5=0.725234 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 262.84 samples/sec Train-accuracy=0.473672 | |
| INFO:root:Epoch[14] Batch [1350] Speed: 262.84 samples/sec Train-top_k_accuracy_5=0.724453 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 268.58 samples/sec Train-accuracy=0.481406 | |
| INFO:root:Epoch[14] Batch [1400] Speed: 268.58 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 269.10 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[14] Batch [1450] Speed: 269.10 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 268.72 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[14] Batch [1500] Speed: 268.72 samples/sec Train-top_k_accuracy_5=0.727656 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 257.32 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[14] Batch [1550] Speed: 257.32 samples/sec Train-top_k_accuracy_5=0.726953 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 264.39 samples/sec Train-accuracy=0.474687 | |
| INFO:root:Epoch[14] Batch [1600] Speed: 264.39 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 248.72 samples/sec Train-accuracy=0.475000 | |
| INFO:root:Epoch[14] Batch [1650] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.722109 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 265.23 samples/sec Train-accuracy=0.473359 | |
| INFO:root:Epoch[14] Batch [1700] Speed: 265.23 samples/sec Train-top_k_accuracy_5=0.720547 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 261.78 samples/sec Train-accuracy=0.481875 | |
| INFO:root:Epoch[14] Batch [1750] Speed: 261.78 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 264.99 samples/sec Train-accuracy=0.483750 | |
| INFO:root:Epoch[14] Batch [1800] Speed: 264.99 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 270.40 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[14] Batch [1850] Speed: 270.40 samples/sec Train-top_k_accuracy_5=0.727344 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 262.67 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[14] Batch [1900] Speed: 262.67 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 275.76 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[14] Batch [1950] Speed: 275.76 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 250.75 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[14] Batch [2000] Speed: 250.75 samples/sec Train-top_k_accuracy_5=0.727031 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 262.51 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[14] Batch [2050] Speed: 262.51 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 254.63 samples/sec Train-accuracy=0.484063 | |
| INFO:root:Epoch[14] Batch [2100] Speed: 254.63 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 260.94 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[14] Batch [2150] Speed: 260.94 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 254.08 samples/sec Train-accuracy=0.482187 | |
| INFO:root:Epoch[14] Batch [2200] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 262.34 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[14] Batch [2250] Speed: 262.34 samples/sec Train-top_k_accuracy_5=0.722187 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 261.25 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[14] Batch [2300] Speed: 261.25 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 257.36 samples/sec Train-accuracy=0.481484 | |
| INFO:root:Epoch[14] Batch [2350] Speed: 257.36 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 264.71 samples/sec Train-accuracy=0.477578 | |
| INFO:root:Epoch[14] Batch [2400] Speed: 264.71 samples/sec Train-top_k_accuracy_5=0.718359 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 264.44 samples/sec Train-accuracy=0.477266 | |
| INFO:root:Epoch[14] Batch [2450] Speed: 264.44 samples/sec Train-top_k_accuracy_5=0.721016 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 253.52 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[14] Batch [2500] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 258.54 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[14] Batch [2550] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 262.94 samples/sec Train-accuracy=0.480547 | |
| INFO:root:Epoch[14] Batch [2600] Speed: 262.94 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 266.33 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[14] Batch [2650] Speed: 266.33 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 267.92 samples/sec Train-accuracy=0.479687 | |
| INFO:root:Epoch[14] Batch [2700] Speed: 267.92 samples/sec Train-top_k_accuracy_5=0.729141 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 270.53 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[14] Batch [2750] Speed: 270.53 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 261.18 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[14] Batch [2800] Speed: 261.18 samples/sec Train-top_k_accuracy_5=0.726094 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 265.90 samples/sec Train-accuracy=0.481563 | |
| INFO:root:Epoch[14] Batch [2850] Speed: 265.90 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 262.41 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[14] Batch [2900] Speed: 262.41 samples/sec Train-top_k_accuracy_5=0.732422 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 266.96 samples/sec Train-accuracy=0.474766 | |
| INFO:root:Epoch[14] Batch [2950] Speed: 266.96 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 271.35 samples/sec Train-accuracy=0.483281 | |
| INFO:root:Epoch[14] Batch [3000] Speed: 271.35 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 261.34 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[14] Batch [3050] Speed: 261.34 samples/sec Train-top_k_accuracy_5=0.728359 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 258.95 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[14] Batch [3100] Speed: 258.95 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 262.61 samples/sec Train-accuracy=0.482031 | |
| INFO:root:Epoch[14] Batch [3150] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 263.14 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[14] Batch [3200] Speed: 263.14 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 271.50 samples/sec Train-accuracy=0.474062 | |
| INFO:root:Epoch[14] Batch [3250] Speed: 271.50 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 247.05 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[14] Batch [3300] Speed: 247.05 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 244.97 samples/sec Train-accuracy=0.480703 | |
| INFO:root:Epoch[14] Batch [3350] Speed: 244.97 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 242.17 samples/sec Train-accuracy=0.480312 | |
| INFO:root:Epoch[14] Batch [3400] Speed: 242.17 samples/sec Train-top_k_accuracy_5=0.726250 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 259.35 samples/sec Train-accuracy=0.476562 | |
| INFO:root:Epoch[14] Batch [3450] Speed: 259.35 samples/sec Train-top_k_accuracy_5=0.724766 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 255.13 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[14] Batch [3500] Speed: 255.13 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 246.31 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[14] Batch [3550] Speed: 246.31 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 266.16 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[14] Batch [3600] Speed: 266.16 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 264.49 samples/sec Train-accuracy=0.472578 | |
| INFO:root:Epoch[14] Batch [3650] Speed: 264.49 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 263.07 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[14] Batch [3700] Speed: 263.07 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 254.18 samples/sec Train-accuracy=0.476953 | |
| INFO:root:Epoch[14] Batch [3750] Speed: 254.18 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 265.70 samples/sec Train-accuracy=0.479766 | |
| INFO:root:Epoch[14] Batch [3800] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.727969 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 260.73 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[14] Batch [3850] Speed: 260.73 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 262.08 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[14] Batch [3900] Speed: 262.08 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 259.23 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[14] Batch [3950] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.723125 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 262.96 samples/sec Train-accuracy=0.482187 | |
| INFO:root:Epoch[14] Batch [4000] Speed: 262.96 samples/sec Train-top_k_accuracy_5=0.727344 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 261.60 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[14] Batch [4050] Speed: 261.60 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 251.41 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[14] Batch [4100] Speed: 251.41 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 257.03 samples/sec Train-accuracy=0.489063 | |
| INFO:root:Epoch[14] Batch [4150] Speed: 257.03 samples/sec Train-top_k_accuracy_5=0.729375 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 256.98 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[14] Batch [4200] Speed: 256.98 samples/sec Train-top_k_accuracy_5=0.721953 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 269.55 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[14] Batch [4250] Speed: 269.55 samples/sec Train-top_k_accuracy_5=0.725781 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 251.51 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[14] Batch [4300] Speed: 251.51 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 261.57 samples/sec Train-accuracy=0.483750 | |
| INFO:root:Epoch[14] Batch [4350] Speed: 261.57 samples/sec Train-top_k_accuracy_5=0.725000 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 254.62 samples/sec Train-accuracy=0.478594 | |
| INFO:root:Epoch[14] Batch [4400] Speed: 254.62 samples/sec Train-top_k_accuracy_5=0.724141 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 259.77 samples/sec Train-accuracy=0.483203 | |
| INFO:root:Epoch[14] Batch [4450] Speed: 259.77 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 269.32 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[14] Batch [4500] Speed: 269.32 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 263.14 samples/sec Train-accuracy=0.483672 | |
| INFO:root:Epoch[14] Batch [4550] Speed: 263.14 samples/sec Train-top_k_accuracy_5=0.731172 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 254.09 samples/sec Train-accuracy=0.482656 | |
| INFO:root:Epoch[14] Batch [4600] Speed: 254.09 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 259.82 samples/sec Train-accuracy=0.479922 | |
| INFO:root:Epoch[14] Batch [4650] Speed: 259.82 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 253.34 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[14] Batch [4700] Speed: 253.34 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 257.59 samples/sec Train-accuracy=0.472813 | |
| INFO:root:Epoch[14] Batch [4750] Speed: 257.59 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 260.01 samples/sec Train-accuracy=0.481406 | |
| INFO:root:Epoch[14] Batch [4800] Speed: 260.01 samples/sec Train-top_k_accuracy_5=0.731406 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 255.30 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[14] Batch [4850] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.724609 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 249.66 samples/sec Train-accuracy=0.489453 | |
| INFO:root:Epoch[14] Batch [4900] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.725703 | |
| INFO:root:Epoch[14] Batch [4950] Speed: 245.96 samples/sec Train-accuracy=0.480000 | |
| INFO:root:Epoch[14] Batch [4950] Speed: 245.96 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[14] Batch [5000] Speed: 262.43 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[14] Batch [5000] Speed: 262.43 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[14] Resetting Data Iterator | |
| INFO:root:Epoch[14] Time cost=4898.990 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0015.params" | |
| INFO:root:Epoch[14] Validation-accuracy=0.543567 | |
| INFO:root:Epoch[14] Validation-top_k_accuracy_5=0.795839 | |
| INFO:root:Epoch[15] Batch [50] Speed: 284.66 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[15] Batch [50] Speed: 284.66 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[15] Batch [100] Speed: 278.82 samples/sec Train-accuracy=0.482266 | |
| INFO:root:Epoch[15] Batch [100] Speed: 278.82 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[15] Batch [150] Speed: 277.01 samples/sec Train-accuracy=0.480469 | |
| INFO:root:Epoch[15] Batch [150] Speed: 277.01 samples/sec Train-top_k_accuracy_5=0.734531 | |
| INFO:root:Epoch[15] Batch [200] Speed: 277.67 samples/sec Train-accuracy=0.482422 | |
| INFO:root:Epoch[15] Batch [200] Speed: 277.67 samples/sec Train-top_k_accuracy_5=0.725313 | |
| INFO:root:Epoch[15] Batch [250] Speed: 277.00 samples/sec Train-accuracy=0.477969 | |
| INFO:root:Epoch[15] Batch [250] Speed: 277.00 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[15] Batch [300] Speed: 278.40 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[15] Batch [300] Speed: 278.40 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[15] Batch [350] Speed: 271.11 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[15] Batch [350] Speed: 271.11 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[15] Batch [400] Speed: 250.94 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[15] Batch [400] Speed: 250.94 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[15] Batch [450] Speed: 260.94 samples/sec Train-accuracy=0.486094 | |
| INFO:root:Epoch[15] Batch [450] Speed: 260.94 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[15] Batch [500] Speed: 268.17 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[15] Batch [500] Speed: 268.17 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[15] Batch [550] Speed: 265.36 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[15] Batch [550] Speed: 265.36 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[15] Batch [600] Speed: 270.61 samples/sec Train-accuracy=0.479922 | |
| INFO:root:Epoch[15] Batch [600] Speed: 270.61 samples/sec Train-top_k_accuracy_5=0.727031 | |
| INFO:root:Epoch[15] Batch [650] Speed: 260.28 samples/sec Train-accuracy=0.479063 | |
| INFO:root:Epoch[15] Batch [650] Speed: 260.28 samples/sec Train-top_k_accuracy_5=0.731172 | |
| INFO:root:Epoch[15] Batch [700] Speed: 259.01 samples/sec Train-accuracy=0.483281 | |
| INFO:root:Epoch[15] Batch [700] Speed: 259.01 samples/sec Train-top_k_accuracy_5=0.725625 | |
| INFO:root:Epoch[15] Batch [750] Speed: 265.29 samples/sec Train-accuracy=0.482500 | |
| INFO:root:Epoch[15] Batch [750] Speed: 265.29 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[15] Batch [800] Speed: 257.65 samples/sec Train-accuracy=0.477109 | |
| INFO:root:Epoch[15] Batch [800] Speed: 257.65 samples/sec Train-top_k_accuracy_5=0.721328 | |
| INFO:root:Epoch[15] Batch [850] Speed: 268.86 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[15] Batch [850] Speed: 268.86 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[15] Batch [900] Speed: 257.30 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[15] Batch [900] Speed: 257.30 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[15] Batch [950] Speed: 257.06 samples/sec Train-accuracy=0.485391 | |
| INFO:root:Epoch[15] Batch [950] Speed: 257.06 samples/sec Train-top_k_accuracy_5=0.725938 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 265.94 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[15] Batch [1000] Speed: 265.94 samples/sec Train-top_k_accuracy_5=0.727500 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 256.91 samples/sec Train-accuracy=0.485469 | |
| INFO:root:Epoch[15] Batch [1050] Speed: 256.91 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 261.55 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[15] Batch [1100] Speed: 261.55 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 267.45 samples/sec Train-accuracy=0.477969 | |
| INFO:root:Epoch[15] Batch [1150] Speed: 267.45 samples/sec Train-top_k_accuracy_5=0.723203 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 271.68 samples/sec Train-accuracy=0.480625 | |
| INFO:root:Epoch[15] Batch [1200] Speed: 271.68 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 269.89 samples/sec Train-accuracy=0.482344 | |
| INFO:root:Epoch[15] Batch [1250] Speed: 269.89 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 268.19 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[15] Batch [1300] Speed: 268.19 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 266.52 samples/sec Train-accuracy=0.483594 | |
| INFO:root:Epoch[15] Batch [1350] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.726328 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 259.19 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[15] Batch [1400] Speed: 259.19 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 256.74 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[15] Batch [1450] Speed: 256.74 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 267.10 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[15] Batch [1500] Speed: 267.10 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 264.57 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[15] Batch [1550] Speed: 264.57 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 260.48 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[15] Batch [1600] Speed: 260.48 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 265.45 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [1650] Speed: 265.45 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 245.64 samples/sec Train-accuracy=0.472500 | |
| INFO:root:Epoch[15] Batch [1700] Speed: 245.64 samples/sec Train-top_k_accuracy_5=0.719766 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 269.22 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[15] Batch [1750] Speed: 269.22 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 251.52 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [1800] Speed: 251.52 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 244.55 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[15] Batch [1850] Speed: 244.55 samples/sec Train-top_k_accuracy_5=0.727734 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 251.45 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[15] Batch [1900] Speed: 251.45 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 253.32 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[15] Batch [1950] Speed: 253.32 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 265.49 samples/sec Train-accuracy=0.481797 | |
| INFO:root:Epoch[15] Batch [2000] Speed: 265.49 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 252.43 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[15] Batch [2050] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 248.78 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[15] Batch [2100] Speed: 248.78 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 250.67 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[15] Batch [2150] Speed: 250.67 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 254.65 samples/sec Train-accuracy=0.483750 | |
| INFO:root:Epoch[15] Batch [2200] Speed: 254.65 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 253.52 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[15] Batch [2250] Speed: 253.52 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 253.89 samples/sec Train-accuracy=0.480469 | |
| INFO:root:Epoch[15] Batch [2300] Speed: 253.89 samples/sec Train-top_k_accuracy_5=0.725625 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 262.36 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[15] Batch [2350] Speed: 262.36 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 270.39 samples/sec Train-accuracy=0.476562 | |
| INFO:root:Epoch[15] Batch [2400] Speed: 270.39 samples/sec Train-top_k_accuracy_5=0.722187 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 264.68 samples/sec Train-accuracy=0.473125 | |
| INFO:root:Epoch[15] Batch [2450] Speed: 264.68 samples/sec Train-top_k_accuracy_5=0.720000 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 270.12 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[15] Batch [2500] Speed: 270.12 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 263.78 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[15] Batch [2550] Speed: 263.78 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 249.43 samples/sec Train-accuracy=0.477500 | |
| INFO:root:Epoch[15] Batch [2600] Speed: 249.43 samples/sec Train-top_k_accuracy_5=0.722812 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 247.36 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[15] Batch [2650] Speed: 247.36 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 269.05 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[15] Batch [2700] Speed: 269.05 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 254.44 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [2750] Speed: 254.44 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 267.19 samples/sec Train-accuracy=0.487891 | |
| INFO:root:Epoch[15] Batch [2800] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 248.34 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[15] Batch [2850] Speed: 248.34 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 267.32 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[15] Batch [2900] Speed: 267.32 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 267.88 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[15] Batch [2950] Speed: 267.88 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 260.32 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[15] Batch [3000] Speed: 260.32 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 256.18 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[15] Batch [3050] Speed: 256.18 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 249.03 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[15] Batch [3100] Speed: 249.03 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 254.06 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[15] Batch [3150] Speed: 254.06 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 256.84 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[15] Batch [3200] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 264.92 samples/sec Train-accuracy=0.483047 | |
| INFO:root:Epoch[15] Batch [3250] Speed: 264.92 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 257.25 samples/sec Train-accuracy=0.482344 | |
| INFO:root:Epoch[15] Batch [3300] Speed: 257.25 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 254.94 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [3350] Speed: 254.94 samples/sec Train-top_k_accuracy_5=0.727031 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 251.66 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[15] Batch [3400] Speed: 251.66 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 260.13 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[15] Batch [3450] Speed: 260.13 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 266.80 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[15] Batch [3500] Speed: 266.80 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 255.77 samples/sec Train-accuracy=0.479297 | |
| INFO:root:Epoch[15] Batch [3550] Speed: 255.77 samples/sec Train-top_k_accuracy_5=0.729219 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 268.28 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[15] Batch [3600] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 274.83 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[15] Batch [3650] Speed: 274.83 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 262.56 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[15] Batch [3700] Speed: 262.56 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 263.13 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[15] Batch [3750] Speed: 263.13 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 273.89 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[15] Batch [3800] Speed: 273.89 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 269.27 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[15] Batch [3850] Speed: 269.27 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 272.29 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[15] Batch [3900] Speed: 272.29 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 257.58 samples/sec Train-accuracy=0.481250 | |
| INFO:root:Epoch[15] Batch [3950] Speed: 257.58 samples/sec Train-top_k_accuracy_5=0.722969 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 256.02 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[15] Batch [4000] Speed: 256.02 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 259.82 samples/sec Train-accuracy=0.487812 | |
| INFO:root:Epoch[15] Batch [4050] Speed: 259.82 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 263.60 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[15] Batch [4100] Speed: 263.60 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 260.17 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[15] Batch [4150] Speed: 260.17 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 265.13 samples/sec Train-accuracy=0.479453 | |
| INFO:root:Epoch[15] Batch [4200] Speed: 265.13 samples/sec Train-top_k_accuracy_5=0.723672 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 261.00 samples/sec Train-accuracy=0.478828 | |
| INFO:root:Epoch[15] Batch [4250] Speed: 261.00 samples/sec Train-top_k_accuracy_5=0.730313 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 257.96 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[15] Batch [4300] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 257.42 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[15] Batch [4350] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 254.63 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[15] Batch [4400] Speed: 254.63 samples/sec Train-top_k_accuracy_5=0.730703 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 265.86 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[15] Batch [4450] Speed: 265.86 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 262.63 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[15] Batch [4500] Speed: 262.63 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 253.41 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[15] Batch [4550] Speed: 253.41 samples/sec Train-top_k_accuracy_5=0.731484 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 246.58 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[15] Batch [4600] Speed: 246.58 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 254.38 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[15] Batch [4650] Speed: 254.38 samples/sec Train-top_k_accuracy_5=0.724844 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 262.86 samples/sec Train-accuracy=0.481641 | |
| INFO:root:Epoch[15] Batch [4700] Speed: 262.86 samples/sec Train-top_k_accuracy_5=0.725391 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 256.04 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[15] Batch [4750] Speed: 256.04 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 270.58 samples/sec Train-accuracy=0.481719 | |
| INFO:root:Epoch[15] Batch [4800] Speed: 270.58 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 260.95 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[15] Batch [4850] Speed: 260.95 samples/sec Train-top_k_accuracy_5=0.733906 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 263.55 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[15] Batch [4900] Speed: 263.55 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[15] Batch [4950] Speed: 246.09 samples/sec Train-accuracy=0.481094 | |
| INFO:root:Epoch[15] Batch [4950] Speed: 246.09 samples/sec Train-top_k_accuracy_5=0.724922 | |
| INFO:root:Epoch[15] Batch [5000] Speed: 257.94 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[15] Batch [5000] Speed: 257.94 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[15] Resetting Data Iterator | |
| INFO:root:Epoch[15] Time cost=4904.072 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0016.params" | |
| INFO:root:Epoch[15] Validation-accuracy=0.547612 | |
| INFO:root:Epoch[15] Validation-top_k_accuracy_5=0.799227 | |
| INFO:root:Epoch[16] Batch [50] Speed: 280.55 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[16] Batch [50] Speed: 280.55 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[16] Batch [100] Speed: 277.10 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[16] Batch [100] Speed: 277.10 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[16] Batch [150] Speed: 275.59 samples/sec Train-accuracy=0.484687 | |
| INFO:root:Epoch[16] Batch [150] Speed: 275.59 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[16] Batch [200] Speed: 275.71 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[16] Batch [200] Speed: 275.71 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[16] Batch [250] Speed: 276.04 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[16] Batch [250] Speed: 276.04 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[16] Batch [300] Speed: 276.95 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[16] Batch [300] Speed: 276.95 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[16] Batch [350] Speed: 278.50 samples/sec Train-accuracy=0.483594 | |
| INFO:root:Epoch[16] Batch [350] Speed: 278.50 samples/sec Train-top_k_accuracy_5=0.728437 | |
| INFO:root:Epoch[16] Batch [400] Speed: 276.98 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[16] Batch [400] Speed: 276.98 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[16] Batch [450] Speed: 262.40 samples/sec Train-accuracy=0.483125 | |
| INFO:root:Epoch[16] Batch [450] Speed: 262.40 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[16] Batch [500] Speed: 265.74 samples/sec Train-accuracy=0.486719 | |
| INFO:root:Epoch[16] Batch [500] Speed: 265.74 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[16] Batch [550] Speed: 256.90 samples/sec Train-accuracy=0.477969 | |
| INFO:root:Epoch[16] Batch [550] Speed: 256.90 samples/sec Train-top_k_accuracy_5=0.724531 | |
| INFO:root:Epoch[16] Batch [600] Speed: 248.52 samples/sec Train-accuracy=0.481172 | |
| INFO:root:Epoch[16] Batch [600] Speed: 248.52 samples/sec Train-top_k_accuracy_5=0.727266 | |
| INFO:root:Epoch[16] Batch [650] Speed: 255.96 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[16] Batch [650] Speed: 255.96 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[16] Batch [700] Speed: 258.38 samples/sec Train-accuracy=0.484844 | |
| INFO:root:Epoch[16] Batch [700] Speed: 258.38 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[16] Batch [750] Speed: 259.88 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[16] Batch [750] Speed: 259.88 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[16] Batch [800] Speed: 259.89 samples/sec Train-accuracy=0.478906 | |
| INFO:root:Epoch[16] Batch [800] Speed: 259.89 samples/sec Train-top_k_accuracy_5=0.728203 | |
| INFO:root:Epoch[16] Batch [850] Speed: 258.56 samples/sec Train-accuracy=0.478359 | |
| INFO:root:Epoch[16] Batch [850] Speed: 258.56 samples/sec Train-top_k_accuracy_5=0.725078 | |
| INFO:root:Epoch[16] Batch [900] Speed: 255.98 samples/sec Train-accuracy=0.484453 | |
| INFO:root:Epoch[16] Batch [900] Speed: 255.98 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[16] Batch [950] Speed: 263.92 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[16] Batch [950] Speed: 263.92 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 263.81 samples/sec Train-accuracy=0.486953 | |
| INFO:root:Epoch[16] Batch [1000] Speed: 263.81 samples/sec Train-top_k_accuracy_5=0.729609 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 265.98 samples/sec Train-accuracy=0.478750 | |
| INFO:root:Epoch[16] Batch [1050] Speed: 265.98 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 261.24 samples/sec Train-accuracy=0.488984 | |
| INFO:root:Epoch[16] Batch [1100] Speed: 261.24 samples/sec Train-top_k_accuracy_5=0.727422 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 263.97 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[16] Batch [1150] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 252.60 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[16] Batch [1200] Speed: 252.60 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 243.99 samples/sec Train-accuracy=0.488203 | |
| INFO:root:Epoch[16] Batch [1250] Speed: 243.99 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 263.92 samples/sec Train-accuracy=0.487969 | |
| INFO:root:Epoch[16] Batch [1300] Speed: 263.92 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 249.25 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[16] Batch [1350] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 249.84 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[16] Batch [1400] Speed: 249.84 samples/sec Train-top_k_accuracy_5=0.733750 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 248.35 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[16] Batch [1450] Speed: 248.35 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 250.78 samples/sec Train-accuracy=0.482891 | |
| INFO:root:Epoch[16] Batch [1500] Speed: 250.78 samples/sec Train-top_k_accuracy_5=0.727187 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 265.72 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[16] Batch [1550] Speed: 265.72 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 264.59 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[16] Batch [1600] Speed: 264.59 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 266.37 samples/sec Train-accuracy=0.482578 | |
| INFO:root:Epoch[16] Batch [1650] Speed: 266.37 samples/sec Train-top_k_accuracy_5=0.723906 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 271.68 samples/sec Train-accuracy=0.478125 | |
| INFO:root:Epoch[16] Batch [1700] Speed: 271.68 samples/sec Train-top_k_accuracy_5=0.728750 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 260.33 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[16] Batch [1750] Speed: 260.33 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 264.99 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[16] Batch [1800] Speed: 264.99 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 270.20 samples/sec Train-accuracy=0.486172 | |
| INFO:root:Epoch[16] Batch [1850] Speed: 270.20 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 264.87 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[16] Batch [1900] Speed: 264.87 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 257.53 samples/sec Train-accuracy=0.493984 | |
| INFO:root:Epoch[16] Batch [1950] Speed: 257.53 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 255.17 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[16] Batch [2000] Speed: 255.17 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 254.30 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[16] Batch [2050] Speed: 254.30 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 260.58 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[16] Batch [2100] Speed: 260.58 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 255.77 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[16] Batch [2150] Speed: 255.77 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 258.64 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[16] Batch [2200] Speed: 258.64 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 258.13 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[16] Batch [2250] Speed: 258.13 samples/sec Train-top_k_accuracy_5=0.734531 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 255.55 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[16] Batch [2300] Speed: 255.55 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 263.13 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[16] Batch [2350] Speed: 263.13 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 266.38 samples/sec Train-accuracy=0.484297 | |
| INFO:root:Epoch[16] Batch [2400] Speed: 266.38 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 266.39 samples/sec Train-accuracy=0.479375 | |
| INFO:root:Epoch[16] Batch [2450] Speed: 266.39 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 260.64 samples/sec Train-accuracy=0.487891 | |
| INFO:root:Epoch[16] Batch [2500] Speed: 260.64 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 257.20 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[16] Batch [2550] Speed: 257.20 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 269.27 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[16] Batch [2600] Speed: 269.27 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 267.72 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[16] Batch [2650] Speed: 267.72 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 270.73 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[16] Batch [2700] Speed: 270.73 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 257.29 samples/sec Train-accuracy=0.483984 | |
| INFO:root:Epoch[16] Batch [2750] Speed: 257.29 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 257.99 samples/sec Train-accuracy=0.485938 | |
| INFO:root:Epoch[16] Batch [2800] Speed: 257.99 samples/sec Train-top_k_accuracy_5=0.724297 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 250.54 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[16] Batch [2850] Speed: 250.54 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 267.47 samples/sec Train-accuracy=0.482266 | |
| INFO:root:Epoch[16] Batch [2900] Speed: 267.47 samples/sec Train-top_k_accuracy_5=0.728125 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 261.97 samples/sec Train-accuracy=0.485078 | |
| INFO:root:Epoch[16] Batch [2950] Speed: 261.97 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 260.71 samples/sec Train-accuracy=0.489063 | |
| INFO:root:Epoch[16] Batch [3000] Speed: 260.71 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 259.22 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[16] Batch [3050] Speed: 259.22 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 261.64 samples/sec Train-accuracy=0.489141 | |
| INFO:root:Epoch[16] Batch [3100] Speed: 261.64 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 265.13 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[16] Batch [3150] Speed: 265.13 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 262.57 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[16] Batch [3200] Speed: 262.57 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 255.38 samples/sec Train-accuracy=0.480078 | |
| INFO:root:Epoch[16] Batch [3250] Speed: 255.38 samples/sec Train-top_k_accuracy_5=0.727891 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 261.13 samples/sec Train-accuracy=0.483516 | |
| INFO:root:Epoch[16] Batch [3300] Speed: 261.13 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 262.62 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[16] Batch [3350] Speed: 262.62 samples/sec Train-top_k_accuracy_5=0.730156 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 267.94 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[16] Batch [3400] Speed: 267.94 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 266.91 samples/sec Train-accuracy=0.479844 | |
| INFO:root:Epoch[16] Batch [3450] Speed: 266.91 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 275.46 samples/sec Train-accuracy=0.484219 | |
| INFO:root:Epoch[16] Batch [3500] Speed: 275.46 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 272.14 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[16] Batch [3550] Speed: 272.14 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 277.05 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[16] Batch [3600] Speed: 277.05 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 272.89 samples/sec Train-accuracy=0.488750 | |
| INFO:root:Epoch[16] Batch [3650] Speed: 272.89 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 267.20 samples/sec Train-accuracy=0.492266 | |
| INFO:root:Epoch[16] Batch [3700] Speed: 267.20 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 274.03 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[16] Batch [3750] Speed: 274.03 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 269.83 samples/sec Train-accuracy=0.483438 | |
| INFO:root:Epoch[16] Batch [3800] Speed: 269.83 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 273.89 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[16] Batch [3850] Speed: 273.89 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 267.71 samples/sec Train-accuracy=0.492422 | |
| INFO:root:Epoch[16] Batch [3900] Speed: 267.71 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 264.82 samples/sec Train-accuracy=0.489531 | |
| INFO:root:Epoch[16] Batch [3950] Speed: 264.82 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 265.46 samples/sec Train-accuracy=0.481406 | |
| INFO:root:Epoch[16] Batch [4000] Speed: 265.46 samples/sec Train-top_k_accuracy_5=0.731406 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 269.16 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[16] Batch [4050] Speed: 269.16 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 273.22 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[16] Batch [4100] Speed: 273.22 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 271.21 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[16] Batch [4150] Speed: 271.21 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 267.95 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[16] Batch [4200] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 273.59 samples/sec Train-accuracy=0.481875 | |
| INFO:root:Epoch[16] Batch [4250] Speed: 273.59 samples/sec Train-top_k_accuracy_5=0.726719 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 277.31 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[16] Batch [4300] Speed: 277.31 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 278.26 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[16] Batch [4350] Speed: 278.26 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 277.41 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[16] Batch [4400] Speed: 277.41 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 278.62 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[16] Batch [4450] Speed: 278.62 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 276.54 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[16] Batch [4500] Speed: 276.54 samples/sec Train-top_k_accuracy_5=0.727578 | |
| INFO:root:Epoch[16] Batch [4550] Speed: 276.10 samples/sec Train-accuracy=0.481328 | |
| INFO:root:Epoch[16] Batch [4550] Speed: 276.10 samples/sec Train-top_k_accuracy_5=0.727578 | |
| INFO:root:Epoch[16] Batch [4600] Speed: 265.70 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[16] Batch [4600] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 263.72 samples/sec Train-accuracy=0.480781 | |
| INFO:root:Epoch[16] Batch [4650] Speed: 263.72 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 260.45 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[16] Batch [4700] Speed: 260.45 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[16] Batch [4750] Speed: 263.24 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[16] Batch [4750] Speed: 263.24 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 250.30 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[16] Batch [4800] Speed: 250.30 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 241.39 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[16] Batch [4850] Speed: 241.39 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 263.93 samples/sec Train-accuracy=0.487969 | |
| INFO:root:Epoch[16] Batch [4900] Speed: 263.93 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[16] Batch [4950] Speed: 253.69 samples/sec Train-accuracy=0.479453 | |
| INFO:root:Epoch[16] Batch [4950] Speed: 253.69 samples/sec Train-top_k_accuracy_5=0.728516 | |
| INFO:root:Epoch[16] Batch [5000] Speed: 261.11 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[16] Batch [5000] Speed: 261.11 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[16] Resetting Data Iterator | |
| INFO:root:Epoch[16] Time cost=4854.074 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0017.params" | |
| INFO:root:Epoch[16] Validation-accuracy=0.532526 | |
| INFO:root:Epoch[16] Validation-top_k_accuracy_5=0.787388 | |
| INFO:root:Epoch[17] Batch [50] Speed: 286.24 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[17] Batch [50] Speed: 286.24 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[17] Batch [100] Speed: 280.08 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[17] Batch [100] Speed: 280.08 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[17] Batch [150] Speed: 274.70 samples/sec Train-accuracy=0.487109 | |
| INFO:root:Epoch[17] Batch [150] Speed: 274.70 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[17] Batch [200] Speed: 242.68 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[17] Batch [200] Speed: 242.68 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[17] Batch [250] Speed: 257.63 samples/sec Train-accuracy=0.489063 | |
| INFO:root:Epoch[17] Batch [250] Speed: 257.63 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[17] Batch [300] Speed: 254.19 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[17] Batch [300] Speed: 254.19 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[17] Batch [350] Speed: 264.83 samples/sec Train-accuracy=0.489531 | |
| INFO:root:Epoch[17] Batch [350] Speed: 264.83 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[17] Batch [400] Speed: 264.80 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[17] Batch [400] Speed: 264.80 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[17] Batch [450] Speed: 265.42 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[17] Batch [450] Speed: 265.42 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[17] Batch [500] Speed: 270.64 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[17] Batch [500] Speed: 270.64 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[17] Batch [550] Speed: 257.45 samples/sec Train-accuracy=0.485391 | |
| INFO:root:Epoch[17] Batch [550] Speed: 257.45 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[17] Batch [600] Speed: 262.42 samples/sec Train-accuracy=0.478672 | |
| INFO:root:Epoch[17] Batch [600] Speed: 262.42 samples/sec Train-top_k_accuracy_5=0.727109 | |
| INFO:root:Epoch[17] Batch [650] Speed: 267.24 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[17] Batch [650] Speed: 267.24 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[17] Batch [700] Speed: 261.15 samples/sec Train-accuracy=0.483047 | |
| INFO:root:Epoch[17] Batch [700] Speed: 261.15 samples/sec Train-top_k_accuracy_5=0.729922 | |
| INFO:root:Epoch[17] Batch [750] Speed: 266.54 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[17] Batch [750] Speed: 266.54 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[17] Batch [800] Speed: 266.83 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[17] Batch [800] Speed: 266.83 samples/sec Train-top_k_accuracy_5=0.722734 | |
| INFO:root:Epoch[17] Batch [850] Speed: 267.51 samples/sec Train-accuracy=0.477734 | |
| INFO:root:Epoch[17] Batch [850] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[17] Batch [900] Speed: 269.15 samples/sec Train-accuracy=0.482656 | |
| INFO:root:Epoch[17] Batch [900] Speed: 269.15 samples/sec Train-top_k_accuracy_5=0.728281 | |
| INFO:root:Epoch[17] Batch [950] Speed: 270.56 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[17] Batch [950] Speed: 270.56 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 269.58 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[17] Batch [1000] Speed: 269.58 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 263.95 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[17] Batch [1050] Speed: 263.95 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 262.53 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[17] Batch [1100] Speed: 262.53 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 264.00 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[17] Batch [1150] Speed: 264.00 samples/sec Train-top_k_accuracy_5=0.729766 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 265.21 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[17] Batch [1200] Speed: 265.21 samples/sec Train-top_k_accuracy_5=0.729531 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 266.09 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[17] Batch [1250] Speed: 266.09 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 256.82 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[17] Batch [1300] Speed: 256.82 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 269.86 samples/sec Train-accuracy=0.484922 | |
| INFO:root:Epoch[17] Batch [1350] Speed: 269.86 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 265.69 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[17] Batch [1400] Speed: 265.69 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 267.06 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[17] Batch [1450] Speed: 267.06 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 263.86 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[17] Batch [1500] Speed: 263.86 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 255.53 samples/sec Train-accuracy=0.489063 | |
| INFO:root:Epoch[17] Batch [1550] Speed: 255.53 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 264.49 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[17] Batch [1600] Speed: 264.49 samples/sec Train-top_k_accuracy_5=0.728906 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 265.70 samples/sec Train-accuracy=0.489063 | |
| INFO:root:Epoch[17] Batch [1650] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 265.79 samples/sec Train-accuracy=0.480859 | |
| INFO:root:Epoch[17] Batch [1700] Speed: 265.79 samples/sec Train-top_k_accuracy_5=0.728984 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 270.78 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[17] Batch [1750] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 271.96 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[17] Batch [1800] Speed: 271.96 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 259.07 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[17] Batch [1850] Speed: 259.07 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 266.82 samples/sec Train-accuracy=0.480938 | |
| INFO:root:Epoch[17] Batch [1900] Speed: 266.82 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 269.29 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[17] Batch [1950] Speed: 269.29 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 270.65 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[17] Batch [2000] Speed: 270.65 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 269.56 samples/sec Train-accuracy=0.484844 | |
| INFO:root:Epoch[17] Batch [2050] Speed: 269.56 samples/sec Train-top_k_accuracy_5=0.725547 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 265.70 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[17] Batch [2100] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 263.44 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[17] Batch [2150] Speed: 263.44 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 267.06 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[17] Batch [2200] Speed: 267.06 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 272.30 samples/sec Train-accuracy=0.485312 | |
| INFO:root:Epoch[17] Batch [2250] Speed: 272.30 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 268.01 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[17] Batch [2300] Speed: 268.01 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 261.94 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[17] Batch [2350] Speed: 261.94 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 260.68 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[17] Batch [2400] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 271.68 samples/sec Train-accuracy=0.480156 | |
| INFO:root:Epoch[17] Batch [2450] Speed: 271.68 samples/sec Train-top_k_accuracy_5=0.722500 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 264.55 samples/sec Train-accuracy=0.486094 | |
| INFO:root:Epoch[17] Batch [2500] Speed: 264.55 samples/sec Train-top_k_accuracy_5=0.732578 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 270.53 samples/sec Train-accuracy=0.488594 | |
| INFO:root:Epoch[17] Batch [2550] Speed: 270.53 samples/sec Train-top_k_accuracy_5=0.730781 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 260.64 samples/sec Train-accuracy=0.481641 | |
| INFO:root:Epoch[17] Batch [2600] Speed: 260.64 samples/sec Train-top_k_accuracy_5=0.724063 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 265.15 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[17] Batch [2650] Speed: 265.15 samples/sec Train-top_k_accuracy_5=0.731250 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 259.18 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[17] Batch [2700] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 275.12 samples/sec Train-accuracy=0.490312 | |
| INFO:root:Epoch[17] Batch [2750] Speed: 275.12 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 270.01 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[17] Batch [2800] Speed: 270.01 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 266.19 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[17] Batch [2850] Speed: 266.19 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 273.24 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[17] Batch [2900] Speed: 273.24 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 273.65 samples/sec Train-accuracy=0.489844 | |
| INFO:root:Epoch[17] Batch [2950] Speed: 273.65 samples/sec Train-top_k_accuracy_5=0.731406 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 270.88 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[17] Batch [3000] Speed: 270.88 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 271.01 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[17] Batch [3050] Speed: 271.01 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 258.31 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[17] Batch [3100] Speed: 258.31 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 257.39 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[17] Batch [3150] Speed: 257.39 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 271.12 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[17] Batch [3200] Speed: 271.12 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 275.43 samples/sec Train-accuracy=0.486953 | |
| INFO:root:Epoch[17] Batch [3250] Speed: 275.43 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 270.93 samples/sec Train-accuracy=0.490625 | |
| INFO:root:Epoch[17] Batch [3300] Speed: 270.93 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 274.89 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[17] Batch [3350] Speed: 274.89 samples/sec Train-top_k_accuracy_5=0.731563 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 265.70 samples/sec Train-accuracy=0.489531 | |
| INFO:root:Epoch[17] Batch [3400] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.730469 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 265.39 samples/sec Train-accuracy=0.486641 | |
| INFO:root:Epoch[17] Batch [3450] Speed: 265.39 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 247.15 samples/sec Train-accuracy=0.488594 | |
| INFO:root:Epoch[17] Batch [3500] Speed: 247.15 samples/sec Train-top_k_accuracy_5=0.733906 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 270.68 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[17] Batch [3550] Speed: 270.68 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 248.92 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[17] Batch [3600] Speed: 248.92 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 248.39 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[17] Batch [3650] Speed: 248.39 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 264.89 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[17] Batch [3700] Speed: 264.89 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 259.43 samples/sec Train-accuracy=0.487734 | |
| INFO:root:Epoch[17] Batch [3750] Speed: 259.43 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 275.52 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[17] Batch [3800] Speed: 275.52 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 265.20 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[17] Batch [3850] Speed: 265.20 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 267.04 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[17] Batch [3900] Speed: 267.04 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 268.05 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[17] Batch [3950] Speed: 268.05 samples/sec Train-top_k_accuracy_5=0.728281 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 276.65 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[17] Batch [4000] Speed: 276.65 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 273.91 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[17] Batch [4050] Speed: 273.91 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 271.86 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[17] Batch [4100] Speed: 271.86 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 269.27 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[17] Batch [4150] Speed: 269.27 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 267.77 samples/sec Train-accuracy=0.487266 | |
| INFO:root:Epoch[17] Batch [4200] Speed: 267.77 samples/sec Train-top_k_accuracy_5=0.729688 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 274.64 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[17] Batch [4250] Speed: 274.64 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 269.89 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[17] Batch [4300] Speed: 269.89 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 274.29 samples/sec Train-accuracy=0.485625 | |
| INFO:root:Epoch[17] Batch [4350] Speed: 274.29 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 274.63 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[17] Batch [4400] Speed: 274.63 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 274.17 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[17] Batch [4450] Speed: 274.17 samples/sec Train-top_k_accuracy_5=0.729609 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 259.65 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[17] Batch [4500] Speed: 259.65 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 268.31 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[17] Batch [4550] Speed: 268.31 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 266.34 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[17] Batch [4600] Speed: 266.34 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 265.37 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[17] Batch [4650] Speed: 265.37 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 268.89 samples/sec Train-accuracy=0.483672 | |
| INFO:root:Epoch[17] Batch [4700] Speed: 268.89 samples/sec Train-top_k_accuracy_5=0.730938 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 273.39 samples/sec Train-accuracy=0.481953 | |
| INFO:root:Epoch[17] Batch [4750] Speed: 273.39 samples/sec Train-top_k_accuracy_5=0.730859 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 272.16 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[17] Batch [4800] Speed: 272.16 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 270.15 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[17] Batch [4850] Speed: 270.15 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 261.84 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[17] Batch [4900] Speed: 261.84 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[17] Batch [4950] Speed: 274.16 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[17] Batch [4950] Speed: 274.16 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[17] Batch [5000] Speed: 262.95 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[17] Batch [5000] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[17] Resetting Data Iterator | |
| INFO:root:Epoch[17] Time cost=4807.772 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0018.params" | |
| INFO:root:Epoch[17] Validation-accuracy=0.548709 | |
| INFO:root:Epoch[17] Validation-top_k_accuracy_5=0.800383 | |
| INFO:root:Epoch[18] Batch [50] Speed: 283.71 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[18] Batch [50] Speed: 283.71 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[18] Batch [100] Speed: 278.44 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[18] Batch [100] Speed: 278.44 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[18] Batch [150] Speed: 277.70 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[18] Batch [150] Speed: 277.70 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[18] Batch [200] Speed: 277.19 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[18] Batch [200] Speed: 277.19 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[18] Batch [250] Speed: 279.47 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[18] Batch [250] Speed: 279.47 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[18] Batch [300] Speed: 277.50 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[18] Batch [300] Speed: 277.50 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[18] Batch [350] Speed: 268.32 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[18] Batch [350] Speed: 268.32 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[18] Batch [400] Speed: 254.70 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[18] Batch [400] Speed: 254.70 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[18] Batch [450] Speed: 252.25 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[18] Batch [450] Speed: 252.25 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[18] Batch [500] Speed: 248.12 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[18] Batch [500] Speed: 248.12 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[18] Batch [550] Speed: 253.55 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[18] Batch [550] Speed: 253.55 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[18] Batch [600] Speed: 269.78 samples/sec Train-accuracy=0.487187 | |
| INFO:root:Epoch[18] Batch [600] Speed: 269.78 samples/sec Train-top_k_accuracy_5=0.732422 | |
| INFO:root:Epoch[18] Batch [650] Speed: 255.23 samples/sec Train-accuracy=0.485000 | |
| INFO:root:Epoch[18] Batch [650] Speed: 255.23 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[18] Batch [700] Speed: 263.61 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[18] Batch [700] Speed: 263.61 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[18] Batch [750] Speed: 267.96 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[18] Batch [750] Speed: 267.96 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[18] Batch [800] Speed: 270.86 samples/sec Train-accuracy=0.489453 | |
| INFO:root:Epoch[18] Batch [800] Speed: 270.86 samples/sec Train-top_k_accuracy_5=0.731641 | |
| INFO:root:Epoch[18] Batch [850] Speed: 268.56 samples/sec Train-accuracy=0.486016 | |
| INFO:root:Epoch[18] Batch [850] Speed: 268.56 samples/sec Train-top_k_accuracy_5=0.725469 | |
| INFO:root:Epoch[18] Batch [900] Speed: 268.74 samples/sec Train-accuracy=0.486953 | |
| INFO:root:Epoch[18] Batch [900] Speed: 268.74 samples/sec Train-top_k_accuracy_5=0.730078 | |
| INFO:root:Epoch[18] Batch [950] Speed: 251.04 samples/sec Train-accuracy=0.488203 | |
| INFO:root:Epoch[18] Batch [950] Speed: 251.04 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 268.69 samples/sec Train-accuracy=0.484609 | |
| INFO:root:Epoch[18] Batch [1000] Speed: 268.69 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 258.29 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[18] Batch [1050] Speed: 258.29 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 256.29 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[18] Batch [1100] Speed: 256.29 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 270.50 samples/sec Train-accuracy=0.484141 | |
| INFO:root:Epoch[18] Batch [1150] Speed: 270.50 samples/sec Train-top_k_accuracy_5=0.728828 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 264.16 samples/sec Train-accuracy=0.485234 | |
| INFO:root:Epoch[18] Batch [1200] Speed: 264.16 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 262.50 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[18] Batch [1250] Speed: 262.50 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 258.76 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[18] Batch [1300] Speed: 258.76 samples/sec Train-top_k_accuracy_5=0.731719 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 258.89 samples/sec Train-accuracy=0.484609 | |
| INFO:root:Epoch[18] Batch [1350] Speed: 258.89 samples/sec Train-top_k_accuracy_5=0.729062 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 262.77 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[18] Batch [1400] Speed: 262.77 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 261.27 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[18] Batch [1450] Speed: 261.27 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 266.12 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[18] Batch [1500] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 268.37 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[18] Batch [1550] Speed: 268.37 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 259.63 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[18] Batch [1600] Speed: 259.63 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 265.09 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[18] Batch [1650] Speed: 265.09 samples/sec Train-top_k_accuracy_5=0.731094 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 257.49 samples/sec Train-accuracy=0.473516 | |
| INFO:root:Epoch[18] Batch [1700] Speed: 257.49 samples/sec Train-top_k_accuracy_5=0.725625 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 259.06 samples/sec Train-accuracy=0.492656 | |
| INFO:root:Epoch[18] Batch [1750] Speed: 259.06 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 240.11 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[18] Batch [1800] Speed: 240.11 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 251.79 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[18] Batch [1850] Speed: 251.79 samples/sec Train-top_k_accuracy_5=0.734531 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 252.40 samples/sec Train-accuracy=0.491250 | |
| INFO:root:Epoch[18] Batch [1900] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 247.85 samples/sec Train-accuracy=0.493984 | |
| INFO:root:Epoch[18] Batch [1950] Speed: 247.85 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 251.62 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[18] Batch [2000] Speed: 251.62 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 240.20 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[18] Batch [2050] Speed: 240.20 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 246.11 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[18] Batch [2100] Speed: 246.11 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 245.02 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[18] Batch [2150] Speed: 245.02 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 250.61 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[18] Batch [2200] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 263.43 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[18] Batch [2250] Speed: 263.43 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 254.67 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[18] Batch [2300] Speed: 254.67 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 262.52 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[18] Batch [2350] Speed: 262.52 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 271.43 samples/sec Train-accuracy=0.489687 | |
| INFO:root:Epoch[18] Batch [2400] Speed: 271.43 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 247.58 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[18] Batch [2450] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 249.85 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[18] Batch [2500] Speed: 249.85 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 256.98 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[18] Batch [2550] Speed: 256.98 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 264.82 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[18] Batch [2600] Speed: 264.82 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 266.25 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[18] Batch [2650] Speed: 266.25 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 260.38 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[18] Batch [2700] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 260.95 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[18] Batch [2750] Speed: 260.95 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 269.53 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[18] Batch [2800] Speed: 269.53 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 257.61 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[18] Batch [2850] Speed: 257.61 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 261.81 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[18] Batch [2900] Speed: 261.81 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 261.76 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[18] Batch [2950] Speed: 261.76 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 246.71 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[18] Batch [3000] Speed: 246.71 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 273.46 samples/sec Train-accuracy=0.484609 | |
| INFO:root:Epoch[18] Batch [3050] Speed: 273.46 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 255.50 samples/sec Train-accuracy=0.491406 | |
| INFO:root:Epoch[18] Batch [3100] Speed: 255.50 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 246.26 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[18] Batch [3150] Speed: 246.26 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 252.67 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[18] Batch [3200] Speed: 252.67 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 263.43 samples/sec Train-accuracy=0.484844 | |
| INFO:root:Epoch[18] Batch [3250] Speed: 263.43 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 259.90 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[18] Batch [3300] Speed: 259.90 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 258.54 samples/sec Train-accuracy=0.484531 | |
| INFO:root:Epoch[18] Batch [3350] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.729297 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 258.68 samples/sec Train-accuracy=0.485703 | |
| INFO:root:Epoch[18] Batch [3400] Speed: 258.68 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 256.39 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[18] Batch [3450] Speed: 256.39 samples/sec Train-top_k_accuracy_5=0.734766 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 261.47 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[18] Batch [3500] Speed: 261.47 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 263.43 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[18] Batch [3550] Speed: 263.43 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 260.44 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[18] Batch [3600] Speed: 260.44 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 245.97 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[18] Batch [3650] Speed: 245.97 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 265.65 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[18] Batch [3700] Speed: 265.65 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 261.27 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[18] Batch [3750] Speed: 261.27 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 273.62 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[18] Batch [3800] Speed: 273.62 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 267.00 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[18] Batch [3850] Speed: 267.00 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 275.49 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[18] Batch [3900] Speed: 275.49 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 277.31 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[18] Batch [3950] Speed: 277.31 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 270.67 samples/sec Train-accuracy=0.485547 | |
| INFO:root:Epoch[18] Batch [4000] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 266.63 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[18] Batch [4050] Speed: 266.63 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 267.54 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[18] Batch [4100] Speed: 267.54 samples/sec Train-top_k_accuracy_5=0.734141 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 268.99 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[18] Batch [4150] Speed: 268.99 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 271.94 samples/sec Train-accuracy=0.487812 | |
| INFO:root:Epoch[18] Batch [4200] Speed: 271.94 samples/sec Train-top_k_accuracy_5=0.728672 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 266.53 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[18] Batch [4250] Speed: 266.53 samples/sec Train-top_k_accuracy_5=0.729375 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 274.89 samples/sec Train-accuracy=0.491094 | |
| INFO:root:Epoch[18] Batch [4300] Speed: 274.89 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 263.99 samples/sec Train-accuracy=0.491406 | |
| INFO:root:Epoch[18] Batch [4350] Speed: 263.99 samples/sec Train-top_k_accuracy_5=0.733125 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 262.52 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[18] Batch [4400] Speed: 262.52 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 271.31 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[18] Batch [4450] Speed: 271.31 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 271.24 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[18] Batch [4500] Speed: 271.24 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 274.82 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[18] Batch [4550] Speed: 274.82 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 264.51 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[18] Batch [4600] Speed: 264.51 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 271.50 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[18] Batch [4650] Speed: 271.50 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 265.94 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[18] Batch [4700] Speed: 265.94 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 268.78 samples/sec Train-accuracy=0.489687 | |
| INFO:root:Epoch[18] Batch [4750] Speed: 268.78 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 263.18 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[18] Batch [4800] Speed: 263.18 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 251.13 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[18] Batch [4850] Speed: 251.13 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 251.65 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[18] Batch [4900] Speed: 251.65 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[18] Batch [4950] Speed: 269.52 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[18] Batch [4950] Speed: 269.52 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[18] Batch [5000] Speed: 260.92 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[18] Batch [5000] Speed: 260.92 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[18] Resetting Data Iterator | |
| INFO:root:Epoch[18] Time cost=4891.942 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0019.params" | |
| INFO:root:Epoch[18] Validation-accuracy=0.553033 | |
| INFO:root:Epoch[18] Validation-top_k_accuracy_5=0.802396 | |
| INFO:root:Epoch[19] Batch [50] Speed: 284.60 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[19] Batch [50] Speed: 284.60 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[19] Batch [100] Speed: 278.63 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[19] Batch [100] Speed: 278.63 samples/sec Train-top_k_accuracy_5=0.730000 | |
| INFO:root:Epoch[19] Batch [150] Speed: 280.10 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[19] Batch [150] Speed: 280.10 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[19] Batch [200] Speed: 278.43 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[19] Batch [200] Speed: 278.43 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[19] Batch [250] Speed: 279.80 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[19] Batch [250] Speed: 279.80 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[19] Batch [300] Speed: 274.05 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[19] Batch [300] Speed: 274.05 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[19] Batch [350] Speed: 262.39 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[19] Batch [350] Speed: 262.39 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[19] Batch [400] Speed: 267.92 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[19] Batch [400] Speed: 267.92 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[19] Batch [450] Speed: 253.42 samples/sec Train-accuracy=0.487578 | |
| INFO:root:Epoch[19] Batch [450] Speed: 253.42 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[19] Batch [500] Speed: 257.85 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[19] Batch [500] Speed: 257.85 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[19] Batch [550] Speed: 255.65 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[19] Batch [550] Speed: 255.65 samples/sec Train-top_k_accuracy_5=0.739219 | |
| INFO:root:Epoch[19] Batch [600] Speed: 260.23 samples/sec Train-accuracy=0.482031 | |
| INFO:root:Epoch[19] Batch [600] Speed: 260.23 samples/sec Train-top_k_accuracy_5=0.727344 | |
| INFO:root:Epoch[19] Batch [650] Speed: 253.93 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[19] Batch [650] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[19] Batch [700] Speed: 249.65 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[19] Batch [700] Speed: 249.65 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[19] Batch [750] Speed: 263.11 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[19] Batch [750] Speed: 263.11 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[19] Batch [800] Speed: 254.01 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[19] Batch [800] Speed: 254.01 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[19] Batch [850] Speed: 246.38 samples/sec Train-accuracy=0.487500 | |
| INFO:root:Epoch[19] Batch [850] Speed: 246.38 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[19] Batch [900] Speed: 251.68 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[19] Batch [900] Speed: 251.68 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[19] Batch [950] Speed: 272.66 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[19] Batch [950] Speed: 272.66 samples/sec Train-top_k_accuracy_5=0.730625 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 275.56 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[19] Batch [1000] Speed: 275.56 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 266.81 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[19] Batch [1050] Speed: 266.81 samples/sec Train-top_k_accuracy_5=0.732656 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 262.33 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[19] Batch [1100] Speed: 262.33 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 266.09 samples/sec Train-accuracy=0.487031 | |
| INFO:root:Epoch[19] Batch [1150] Speed: 266.09 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 264.31 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[19] Batch [1200] Speed: 264.31 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 253.96 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[19] Batch [1250] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 243.11 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[19] Batch [1300] Speed: 243.11 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 247.85 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[19] Batch [1350] Speed: 247.85 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 254.27 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[19] Batch [1400] Speed: 254.27 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 265.87 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[19] Batch [1450] Speed: 265.87 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 267.21 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[19] Batch [1500] Speed: 267.21 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 265.26 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[19] Batch [1550] Speed: 265.26 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 265.55 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[19] Batch [1600] Speed: 265.55 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 257.92 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[19] Batch [1650] Speed: 257.92 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 267.55 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[19] Batch [1700] Speed: 267.55 samples/sec Train-top_k_accuracy_5=0.730547 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 265.02 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[19] Batch [1750] Speed: 265.02 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 263.39 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[19] Batch [1800] Speed: 263.39 samples/sec Train-top_k_accuracy_5=0.737891 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 266.06 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[19] Batch [1850] Speed: 266.06 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 267.40 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[19] Batch [1900] Speed: 267.40 samples/sec Train-top_k_accuracy_5=0.732500 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 243.21 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[19] Batch [1950] Speed: 243.21 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 263.51 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[19] Batch [2000] Speed: 263.51 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 266.46 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[19] Batch [2050] Speed: 266.46 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 258.07 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[19] Batch [2100] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 251.28 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[19] Batch [2150] Speed: 251.28 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 242.86 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[19] Batch [2200] Speed: 242.86 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 239.43 samples/sec Train-accuracy=0.499297 | |
| INFO:root:Epoch[19] Batch [2250] Speed: 239.43 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 253.85 samples/sec Train-accuracy=0.488906 | |
| INFO:root:Epoch[19] Batch [2300] Speed: 253.85 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 252.77 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[19] Batch [2350] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 251.72 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[19] Batch [2400] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 261.68 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[19] Batch [2450] Speed: 261.68 samples/sec Train-top_k_accuracy_5=0.733750 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 258.64 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[19] Batch [2500] Speed: 258.64 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 266.28 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[19] Batch [2550] Speed: 266.28 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 262.07 samples/sec Train-accuracy=0.486406 | |
| INFO:root:Epoch[19] Batch [2600] Speed: 262.07 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 255.88 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[19] Batch [2650] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 259.86 samples/sec Train-accuracy=0.491172 | |
| INFO:root:Epoch[19] Batch [2700] Speed: 259.86 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 270.72 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[19] Batch [2750] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 256.84 samples/sec Train-accuracy=0.488516 | |
| INFO:root:Epoch[19] Batch [2800] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.729844 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 259.88 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[19] Batch [2850] Speed: 259.88 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 262.34 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[19] Batch [2900] Speed: 262.34 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 269.56 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[19] Batch [2950] Speed: 269.56 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 269.85 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[19] Batch [3000] Speed: 269.85 samples/sec Train-top_k_accuracy_5=0.733359 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 274.81 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[19] Batch [3050] Speed: 274.81 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 267.33 samples/sec Train-accuracy=0.496953 | |
| INFO:root:Epoch[19] Batch [3100] Speed: 267.33 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 268.29 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[19] Batch [3150] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 272.76 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[19] Batch [3200] Speed: 272.76 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 268.39 samples/sec Train-accuracy=0.486484 | |
| INFO:root:Epoch[19] Batch [3250] Speed: 268.39 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 265.42 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[19] Batch [3300] Speed: 265.42 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 256.04 samples/sec Train-accuracy=0.485781 | |
| INFO:root:Epoch[19] Batch [3350] Speed: 256.04 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 253.04 samples/sec Train-accuracy=0.489687 | |
| INFO:root:Epoch[19] Batch [3400] Speed: 253.04 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 251.46 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[19] Batch [3450] Speed: 251.46 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 261.17 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[19] Batch [3500] Speed: 261.17 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 258.59 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[19] Batch [3550] Speed: 258.59 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 263.75 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[19] Batch [3600] Speed: 263.75 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 263.06 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[19] Batch [3650] Speed: 263.06 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 267.61 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[19] Batch [3700] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 269.55 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[19] Batch [3750] Speed: 269.55 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 271.54 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[19] Batch [3800] Speed: 271.54 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 267.59 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[19] Batch [3850] Speed: 267.59 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 268.99 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[19] Batch [3900] Speed: 268.99 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 268.38 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[19] Batch [3950] Speed: 268.38 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 266.87 samples/sec Train-accuracy=0.488359 | |
| INFO:root:Epoch[19] Batch [4000] Speed: 266.87 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 268.78 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[19] Batch [4050] Speed: 268.78 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 260.50 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[19] Batch [4100] Speed: 260.50 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 252.40 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[19] Batch [4150] Speed: 252.40 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 262.82 samples/sec Train-accuracy=0.487891 | |
| INFO:root:Epoch[19] Batch [4200] Speed: 262.82 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 254.24 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[19] Batch [4250] Speed: 254.24 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 250.69 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[19] Batch [4300] Speed: 250.69 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 262.51 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[19] Batch [4350] Speed: 262.51 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 260.74 samples/sec Train-accuracy=0.493281 | |
| INFO:root:Epoch[19] Batch [4400] Speed: 260.74 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 262.58 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[19] Batch [4450] Speed: 262.58 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 267.19 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[19] Batch [4500] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.727812 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 270.44 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[19] Batch [4550] Speed: 270.44 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 256.23 samples/sec Train-accuracy=0.486797 | |
| INFO:root:Epoch[19] Batch [4600] Speed: 256.23 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 270.37 samples/sec Train-accuracy=0.490625 | |
| INFO:root:Epoch[19] Batch [4650] Speed: 270.37 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 251.96 samples/sec Train-accuracy=0.488672 | |
| INFO:root:Epoch[19] Batch [4700] Speed: 251.96 samples/sec Train-top_k_accuracy_5=0.733516 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 253.93 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[19] Batch [4750] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.729453 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 251.06 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[19] Batch [4800] Speed: 251.06 samples/sec Train-top_k_accuracy_5=0.734453 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 267.29 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[19] Batch [4850] Speed: 267.29 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 272.17 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[19] Batch [4900] Speed: 272.17 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[19] Batch [4950] Speed: 254.95 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[19] Batch [4950] Speed: 254.95 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[19] Batch [5000] Speed: 269.42 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[19] Batch [5000] Speed: 269.42 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[19] Resetting Data Iterator | |
| INFO:root:Epoch[19] Time cost=4893.943 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0020.params" | |
| INFO:root:Epoch[19] Validation-accuracy=0.560746 | |
| INFO:root:Epoch[19] Validation-top_k_accuracy_5=0.810846 | |
| INFO:root:Epoch[20] Batch [50] Speed: 286.03 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[20] Batch [50] Speed: 286.03 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[20] Batch [100] Speed: 281.32 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[20] Batch [100] Speed: 281.32 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[20] Batch [150] Speed: 280.32 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[20] Batch [150] Speed: 280.32 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[20] Batch [200] Speed: 262.81 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[20] Batch [200] Speed: 262.81 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[20] Batch [250] Speed: 262.22 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[20] Batch [250] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[20] Batch [300] Speed: 258.01 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[20] Batch [300] Speed: 258.01 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[20] Batch [350] Speed: 255.94 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[20] Batch [350] Speed: 255.94 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[20] Batch [400] Speed: 248.72 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[20] Batch [400] Speed: 248.72 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[20] Batch [450] Speed: 255.60 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[20] Batch [450] Speed: 255.60 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[20] Batch [500] Speed: 260.86 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[20] Batch [500] Speed: 260.86 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[20] Batch [550] Speed: 266.09 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[20] Batch [550] Speed: 266.09 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[20] Batch [600] Speed: 262.27 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[20] Batch [600] Speed: 262.27 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[20] Batch [650] Speed: 263.52 samples/sec Train-accuracy=0.488047 | |
| INFO:root:Epoch[20] Batch [650] Speed: 263.52 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[20] Batch [700] Speed: 261.62 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[20] Batch [700] Speed: 261.62 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[20] Batch [750] Speed: 264.73 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[20] Batch [750] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[20] Batch [800] Speed: 243.76 samples/sec Train-accuracy=0.485391 | |
| INFO:root:Epoch[20] Batch [800] Speed: 243.76 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[20] Batch [850] Speed: 264.60 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[20] Batch [850] Speed: 264.60 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[20] Batch [900] Speed: 251.45 samples/sec Train-accuracy=0.491094 | |
| INFO:root:Epoch[20] Batch [900] Speed: 251.45 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[20] Batch [950] Speed: 244.35 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[20] Batch [950] Speed: 244.35 samples/sec Train-top_k_accuracy_5=0.734609 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 251.31 samples/sec Train-accuracy=0.487891 | |
| INFO:root:Epoch[20] Batch [1000] Speed: 251.31 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 264.09 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[20] Batch [1050] Speed: 264.09 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 259.03 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[20] Batch [1100] Speed: 259.03 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 268.57 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[20] Batch [1150] Speed: 268.57 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 253.00 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[20] Batch [1200] Speed: 253.00 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 253.86 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[20] Batch [1250] Speed: 253.86 samples/sec Train-top_k_accuracy_5=0.737422 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 243.70 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[20] Batch [1300] Speed: 243.70 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 257.54 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[20] Batch [1350] Speed: 257.54 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 252.18 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[20] Batch [1400] Speed: 252.18 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 258.72 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[20] Batch [1450] Speed: 258.72 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 255.27 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[20] Batch [1500] Speed: 255.27 samples/sec Train-top_k_accuracy_5=0.734219 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 263.83 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[20] Batch [1550] Speed: 263.83 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 255.37 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[20] Batch [1600] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.733437 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 244.52 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[20] Batch [1650] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 237.44 samples/sec Train-accuracy=0.484375 | |
| INFO:root:Epoch[20] Batch [1700] Speed: 237.44 samples/sec Train-top_k_accuracy_5=0.731953 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 240.52 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[20] Batch [1750] Speed: 240.52 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 260.07 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[20] Batch [1800] Speed: 260.07 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 264.61 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[20] Batch [1850] Speed: 264.61 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 248.92 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[20] Batch [1900] Speed: 248.92 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 242.75 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[20] Batch [1950] Speed: 242.75 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 256.77 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[20] Batch [2000] Speed: 256.77 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 253.38 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[20] Batch [2050] Speed: 253.38 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 244.32 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[20] Batch [2100] Speed: 244.32 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 264.35 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[20] Batch [2150] Speed: 264.35 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 267.02 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[20] Batch [2200] Speed: 267.02 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 273.31 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[20] Batch [2250] Speed: 273.31 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 267.11 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[20] Batch [2300] Speed: 267.11 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 269.35 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[20] Batch [2350] Speed: 269.35 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 264.79 samples/sec Train-accuracy=0.487344 | |
| INFO:root:Epoch[20] Batch [2400] Speed: 264.79 samples/sec Train-top_k_accuracy_5=0.730234 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 271.78 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[20] Batch [2450] Speed: 271.78 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 270.09 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[20] Batch [2500] Speed: 270.09 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 273.47 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[20] Batch [2550] Speed: 273.47 samples/sec Train-top_k_accuracy_5=0.734531 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 273.65 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[20] Batch [2600] Speed: 273.65 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 268.13 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[20] Batch [2650] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 271.17 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[20] Batch [2700] Speed: 271.17 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 270.58 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[20] Batch [2750] Speed: 270.58 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 275.99 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[20] Batch [2800] Speed: 275.99 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 272.58 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[20] Batch [2850] Speed: 272.58 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 273.21 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[20] Batch [2900] Speed: 273.21 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 265.04 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[20] Batch [2950] Speed: 265.04 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 273.52 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[20] Batch [3000] Speed: 273.52 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 248.88 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[20] Batch [3050] Speed: 248.88 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 249.67 samples/sec Train-accuracy=0.499297 | |
| INFO:root:Epoch[20] Batch [3100] Speed: 249.67 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 247.89 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[20] Batch [3150] Speed: 247.89 samples/sec Train-top_k_accuracy_5=0.733906 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 242.47 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[20] Batch [3200] Speed: 242.47 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 253.18 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[20] Batch [3250] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 239.25 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[20] Batch [3300] Speed: 239.25 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 257.32 samples/sec Train-accuracy=0.489922 | |
| INFO:root:Epoch[20] Batch [3350] Speed: 257.32 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 258.24 samples/sec Train-accuracy=0.487422 | |
| INFO:root:Epoch[20] Batch [3400] Speed: 258.24 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 251.79 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[20] Batch [3450] Speed: 251.79 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 253.06 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[20] Batch [3500] Speed: 253.06 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 263.99 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[20] Batch [3550] Speed: 263.99 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 255.35 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[20] Batch [3600] Speed: 255.35 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 249.87 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[20] Batch [3650] Speed: 249.87 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 268.98 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[20] Batch [3700] Speed: 268.98 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 252.25 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[20] Batch [3750] Speed: 252.25 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 271.82 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[20] Batch [3800] Speed: 271.82 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 268.51 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[20] Batch [3850] Speed: 268.51 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 261.38 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[20] Batch [3900] Speed: 261.38 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 260.00 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[20] Batch [3950] Speed: 260.00 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 269.07 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[20] Batch [4000] Speed: 269.07 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 267.42 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[20] Batch [4050] Speed: 267.42 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 248.31 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[20] Batch [4100] Speed: 248.31 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 260.09 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[20] Batch [4150] Speed: 260.09 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 254.84 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[20] Batch [4200] Speed: 254.84 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 257.83 samples/sec Train-accuracy=0.489609 | |
| INFO:root:Epoch[20] Batch [4250] Speed: 257.83 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 253.80 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[20] Batch [4300] Speed: 253.80 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 242.78 samples/sec Train-accuracy=0.490547 | |
| INFO:root:Epoch[20] Batch [4350] Speed: 242.78 samples/sec Train-top_k_accuracy_5=0.736484 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 252.53 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[20] Batch [4400] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.748906 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 254.33 samples/sec Train-accuracy=0.491406 | |
| INFO:root:Epoch[20] Batch [4450] Speed: 254.33 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 258.67 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[20] Batch [4500] Speed: 258.67 samples/sec Train-top_k_accuracy_5=0.732344 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 262.85 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[20] Batch [4550] Speed: 262.85 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 270.67 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[20] Batch [4600] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.737578 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 269.26 samples/sec Train-accuracy=0.484844 | |
| INFO:root:Epoch[20] Batch [4650] Speed: 269.26 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[20] Batch [4700] Speed: 274.02 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[20] Batch [4700] Speed: 274.02 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[20] Batch [4750] Speed: 272.09 samples/sec Train-accuracy=0.489687 | |
| INFO:root:Epoch[20] Batch [4750] Speed: 272.09 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 272.12 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[20] Batch [4800] Speed: 272.12 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 273.03 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[20] Batch [4850] Speed: 273.03 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 266.13 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[20] Batch [4900] Speed: 266.13 samples/sec Train-top_k_accuracy_5=0.735625 | |
| INFO:root:Epoch[20] Batch [4950] Speed: 262.35 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[20] Batch [4950] Speed: 262.35 samples/sec Train-top_k_accuracy_5=0.734922 | |
| INFO:root:Epoch[20] Batch [5000] Speed: 270.97 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[20] Batch [5000] Speed: 270.97 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[20] Resetting Data Iterator | |
| INFO:root:Epoch[20] Time cost=4928.480 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0021.params" | |
| INFO:root:Epoch[20] Validation-accuracy=0.551439 | |
| INFO:root:Epoch[20] Validation-top_k_accuracy_5=0.801618 | |
| INFO:root:Epoch[21] Batch [50] Speed: 283.88 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[21] Batch [50] Speed: 283.88 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[21] Batch [100] Speed: 280.39 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[21] Batch [100] Speed: 280.39 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[21] Batch [150] Speed: 278.98 samples/sec Train-accuracy=0.493203 | |
| INFO:root:Epoch[21] Batch [150] Speed: 278.98 samples/sec Train-top_k_accuracy_5=0.732969 | |
| INFO:root:Epoch[21] Batch [200] Speed: 273.75 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[21] Batch [200] Speed: 273.75 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[21] Batch [250] Speed: 273.37 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[21] Batch [250] Speed: 273.37 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[21] Batch [300] Speed: 267.69 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[21] Batch [300] Speed: 267.69 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[21] Batch [350] Speed: 266.13 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[21] Batch [350] Speed: 266.13 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[21] Batch [400] Speed: 263.74 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[21] Batch [400] Speed: 263.74 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[21] Batch [450] Speed: 265.04 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[21] Batch [450] Speed: 265.04 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[21] Batch [500] Speed: 267.74 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[21] Batch [500] Speed: 267.74 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[21] Batch [550] Speed: 264.95 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[21] Batch [550] Speed: 264.95 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[21] Batch [600] Speed: 258.14 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[21] Batch [600] Speed: 258.14 samples/sec Train-top_k_accuracy_5=0.732812 | |
| INFO:root:Epoch[21] Batch [650] Speed: 268.02 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[21] Batch [650] Speed: 268.02 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[21] Batch [700] Speed: 261.03 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[21] Batch [700] Speed: 261.03 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[21] Batch [750] Speed: 244.08 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[21] Batch [750] Speed: 244.08 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[21] Batch [800] Speed: 269.66 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[21] Batch [800] Speed: 269.66 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[21] Batch [850] Speed: 267.35 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[21] Batch [850] Speed: 267.35 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[21] Batch [900] Speed: 263.66 samples/sec Train-accuracy=0.491563 | |
| INFO:root:Epoch[21] Batch [900] Speed: 263.66 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[21] Batch [950] Speed: 259.75 samples/sec Train-accuracy=0.491797 | |
| INFO:root:Epoch[21] Batch [950] Speed: 259.75 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 249.18 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[21] Batch [1000] Speed: 249.18 samples/sec Train-top_k_accuracy_5=0.732266 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 244.17 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[21] Batch [1050] Speed: 244.17 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 267.90 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[21] Batch [1100] Speed: 267.90 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 257.38 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[21] Batch [1150] Speed: 257.38 samples/sec Train-top_k_accuracy_5=0.731016 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 256.41 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[21] Batch [1200] Speed: 256.41 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 253.83 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[21] Batch [1250] Speed: 253.83 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 265.12 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[21] Batch [1300] Speed: 265.12 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 270.67 samples/sec Train-accuracy=0.497656 | |
| INFO:root:Epoch[21] Batch [1350] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 268.31 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[21] Batch [1400] Speed: 268.31 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 264.51 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[21] Batch [1450] Speed: 264.51 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 272.15 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[21] Batch [1500] Speed: 272.15 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 268.82 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[21] Batch [1550] Speed: 268.82 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 265.59 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[21] Batch [1600] Speed: 265.59 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 257.18 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[21] Batch [1650] Speed: 257.18 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 260.61 samples/sec Train-accuracy=0.486094 | |
| INFO:root:Epoch[21] Batch [1700] Speed: 260.61 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 262.96 samples/sec Train-accuracy=0.494063 | |
| INFO:root:Epoch[21] Batch [1750] Speed: 262.96 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 273.34 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[21] Batch [1800] Speed: 273.34 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 275.52 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[21] Batch [1850] Speed: 275.52 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 262.71 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[21] Batch [1900] Speed: 262.71 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 262.79 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[21] Batch [1950] Speed: 262.79 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 252.28 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[21] Batch [2000] Speed: 252.28 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 265.71 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[21] Batch [2050] Speed: 265.71 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 242.88 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[21] Batch [2100] Speed: 242.88 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 246.62 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[21] Batch [2150] Speed: 246.62 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 241.94 samples/sec Train-accuracy=0.498750 | |
| INFO:root:Epoch[21] Batch [2200] Speed: 241.94 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 248.26 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[21] Batch [2250] Speed: 248.26 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 254.81 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[21] Batch [2300] Speed: 254.81 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 242.82 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[21] Batch [2350] Speed: 242.82 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 252.04 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[21] Batch [2400] Speed: 252.04 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 259.77 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[21] Batch [2450] Speed: 259.77 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 249.97 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[21] Batch [2500] Speed: 249.97 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 267.23 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[21] Batch [2550] Speed: 267.23 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 265.90 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[21] Batch [2600] Speed: 265.90 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 258.54 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[21] Batch [2650] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 274.55 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[21] Batch [2700] Speed: 274.55 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 265.94 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[21] Batch [2750] Speed: 265.94 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 258.03 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[21] Batch [2800] Speed: 258.03 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 274.44 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[21] Batch [2850] Speed: 274.44 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 263.65 samples/sec Train-accuracy=0.490156 | |
| INFO:root:Epoch[21] Batch [2900] Speed: 263.65 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 270.60 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[21] Batch [2950] Speed: 270.60 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 267.18 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[21] Batch [3000] Speed: 267.18 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 258.83 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[21] Batch [3050] Speed: 258.83 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 249.63 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[21] Batch [3100] Speed: 249.63 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 250.05 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[21] Batch [3150] Speed: 250.05 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 252.43 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[21] Batch [3200] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 261.91 samples/sec Train-accuracy=0.494141 | |
| INFO:root:Epoch[21] Batch [3250] Speed: 261.91 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 265.74 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[21] Batch [3300] Speed: 265.74 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 250.85 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[21] Batch [3350] Speed: 250.85 samples/sec Train-top_k_accuracy_5=0.741016 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 270.90 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[21] Batch [3400] Speed: 270.90 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 271.61 samples/sec Train-accuracy=0.488438 | |
| INFO:root:Epoch[21] Batch [3450] Speed: 271.61 samples/sec Train-top_k_accuracy_5=0.733672 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 266.52 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[21] Batch [3500] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 255.97 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[21] Batch [3550] Speed: 255.97 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 269.77 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[21] Batch [3600] Speed: 269.77 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 266.16 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[21] Batch [3650] Speed: 266.16 samples/sec Train-top_k_accuracy_5=0.735547 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 260.69 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[21] Batch [3700] Speed: 260.69 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 243.46 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[21] Batch [3750] Speed: 243.46 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 252.76 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[21] Batch [3800] Speed: 252.76 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 251.27 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[21] Batch [3850] Speed: 251.27 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 247.70 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[21] Batch [3900] Speed: 247.70 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 257.07 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[21] Batch [3950] Speed: 257.07 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 251.87 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[21] Batch [4000] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.734688 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 262.88 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[21] Batch [4050] Speed: 262.88 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 236.98 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[21] Batch [4100] Speed: 236.98 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 257.60 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[21] Batch [4150] Speed: 257.60 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 258.43 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[21] Batch [4200] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.731875 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 261.88 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[21] Batch [4250] Speed: 261.88 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 262.02 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[21] Batch [4300] Speed: 262.02 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 265.07 samples/sec Train-accuracy=0.486328 | |
| INFO:root:Epoch[21] Batch [4350] Speed: 265.07 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 273.99 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[21] Batch [4400] Speed: 273.99 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 248.40 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[21] Batch [4450] Speed: 248.40 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 261.80 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[21] Batch [4500] Speed: 261.80 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 258.69 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[21] Batch [4550] Speed: 258.69 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 263.71 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[21] Batch [4600] Speed: 263.71 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 266.04 samples/sec Train-accuracy=0.488125 | |
| INFO:root:Epoch[21] Batch [4650] Speed: 266.04 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 257.44 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[21] Batch [4700] Speed: 257.44 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[21] Batch [4750] Speed: 264.75 samples/sec Train-accuracy=0.486563 | |
| INFO:root:Epoch[21] Batch [4750] Speed: 264.75 samples/sec Train-top_k_accuracy_5=0.735391 | |
| INFO:root:Epoch[21] Batch [4800] Speed: 248.27 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[21] Batch [4800] Speed: 248.27 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[21] Batch [4850] Speed: 264.04 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[21] Batch [4850] Speed: 264.04 samples/sec Train-top_k_accuracy_5=0.738047 | |
| INFO:root:Epoch[21] Batch [4900] Speed: 255.42 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[21] Batch [4900] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[21] Batch [4950] Speed: 268.53 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[21] Batch [4950] Speed: 268.53 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[21] Batch [5000] Speed: 263.67 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[21] Batch [5000] Speed: 263.67 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[21] Resetting Data Iterator | |
| INFO:root:Epoch[21] Time cost=4912.817 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0022.params" | |
| INFO:root:Epoch[21] Validation-accuracy=0.544822 | |
| INFO:root:Epoch[21] Validation-top_k_accuracy_5=0.795480 | |
| INFO:root:Epoch[22] Batch [50] Speed: 284.97 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[22] Batch [50] Speed: 284.97 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[22] Batch [100] Speed: 280.62 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[22] Batch [100] Speed: 280.62 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[22] Batch [150] Speed: 281.55 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[22] Batch [150] Speed: 281.55 samples/sec Train-top_k_accuracy_5=0.735469 | |
| INFO:root:Epoch[22] Batch [200] Speed: 276.99 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[22] Batch [200] Speed: 276.99 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[22] Batch [250] Speed: 279.67 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[22] Batch [250] Speed: 279.67 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[22] Batch [300] Speed: 270.77 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[22] Batch [300] Speed: 270.77 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[22] Batch [350] Speed: 250.73 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[22] Batch [350] Speed: 250.73 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[22] Batch [400] Speed: 259.98 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[22] Batch [400] Speed: 259.98 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[22] Batch [450] Speed: 255.88 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[22] Batch [450] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[22] Batch [500] Speed: 270.65 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[22] Batch [500] Speed: 270.65 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[22] Batch [550] Speed: 269.78 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[22] Batch [550] Speed: 269.78 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[22] Batch [600] Speed: 254.70 samples/sec Train-accuracy=0.487656 | |
| INFO:root:Epoch[22] Batch [600] Speed: 254.70 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[22] Batch [650] Speed: 254.99 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[22] Batch [650] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[22] Batch [700] Speed: 257.26 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[22] Batch [700] Speed: 257.26 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[22] Batch [750] Speed: 257.95 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[22] Batch [750] Speed: 257.95 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[22] Batch [800] Speed: 270.58 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[22] Batch [800] Speed: 270.58 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[22] Batch [850] Speed: 264.42 samples/sec Train-accuracy=0.489219 | |
| INFO:root:Epoch[22] Batch [850] Speed: 264.42 samples/sec Train-top_k_accuracy_5=0.731797 | |
| INFO:root:Epoch[22] Batch [900] Speed: 263.20 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[22] Batch [900] Speed: 263.20 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[22] Batch [950] Speed: 238.62 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[22] Batch [950] Speed: 238.62 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 257.24 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[22] Batch [1000] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 261.01 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[22] Batch [1050] Speed: 261.01 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 261.52 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[22] Batch [1100] Speed: 261.52 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 268.11 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[22] Batch [1150] Speed: 268.11 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 272.14 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[22] Batch [1200] Speed: 272.14 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 255.90 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[22] Batch [1250] Speed: 255.90 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 256.08 samples/sec Train-accuracy=0.492500 | |
| INFO:root:Epoch[22] Batch [1300] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 258.04 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[22] Batch [1350] Speed: 258.04 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 262.13 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[22] Batch [1400] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 251.85 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[22] Batch [1450] Speed: 251.85 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 261.76 samples/sec Train-accuracy=0.492344 | |
| INFO:root:Epoch[22] Batch [1500] Speed: 261.76 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 264.86 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[22] Batch [1550] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 271.35 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[22] Batch [1600] Speed: 271.35 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 268.21 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[22] Batch [1650] Speed: 268.21 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 264.28 samples/sec Train-accuracy=0.491875 | |
| INFO:root:Epoch[22] Batch [1700] Speed: 264.28 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 266.90 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[22] Batch [1750] Speed: 266.90 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 273.81 samples/sec Train-accuracy=0.490859 | |
| INFO:root:Epoch[22] Batch [1800] Speed: 273.81 samples/sec Train-top_k_accuracy_5=0.735703 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 276.10 samples/sec Train-accuracy=0.492422 | |
| INFO:root:Epoch[22] Batch [1850] Speed: 276.10 samples/sec Train-top_k_accuracy_5=0.737891 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 273.03 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[22] Batch [1900] Speed: 273.03 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 277.07 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[22] Batch [1950] Speed: 277.07 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 268.38 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[22] Batch [2000] Speed: 268.38 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 270.66 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[22] Batch [2050] Speed: 270.66 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 268.19 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[22] Batch [2100] Speed: 268.19 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 270.91 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[22] Batch [2150] Speed: 270.91 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 271.22 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[22] Batch [2200] Speed: 271.22 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 270.42 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[22] Batch [2250] Speed: 270.42 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 266.97 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[22] Batch [2300] Speed: 266.97 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 270.55 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[22] Batch [2350] Speed: 270.55 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 266.03 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[22] Batch [2400] Speed: 266.03 samples/sec Train-top_k_accuracy_5=0.736016 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 263.20 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[22] Batch [2450] Speed: 263.20 samples/sec Train-top_k_accuracy_5=0.730703 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 266.79 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[22] Batch [2500] Speed: 266.79 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 255.20 samples/sec Train-accuracy=0.492422 | |
| INFO:root:Epoch[22] Batch [2550] Speed: 255.20 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 255.45 samples/sec Train-accuracy=0.483359 | |
| INFO:root:Epoch[22] Batch [2600] Speed: 255.45 samples/sec Train-top_k_accuracy_5=0.733594 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 263.89 samples/sec Train-accuracy=0.492188 | |
| INFO:root:Epoch[22] Batch [2650] Speed: 263.89 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 266.43 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[22] Batch [2700] Speed: 266.43 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 251.87 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[22] Batch [2750] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 269.74 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[22] Batch [2800] Speed: 269.74 samples/sec Train-top_k_accuracy_5=0.733281 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 262.64 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[22] Batch [2850] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 267.36 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[22] Batch [2900] Speed: 267.36 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 266.42 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[22] Batch [2950] Speed: 266.42 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 270.40 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[22] Batch [3000] Speed: 270.40 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 268.15 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[22] Batch [3050] Speed: 268.15 samples/sec Train-top_k_accuracy_5=0.734375 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 260.54 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[22] Batch [3100] Speed: 260.54 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 258.35 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[22] Batch [3150] Speed: 258.35 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 272.61 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[22] Batch [3200] Speed: 272.61 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 267.24 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[22] Batch [3250] Speed: 267.24 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 271.42 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[22] Batch [3300] Speed: 271.42 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 269.27 samples/sec Train-accuracy=0.491328 | |
| INFO:root:Epoch[22] Batch [3350] Speed: 269.27 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 260.80 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[22] Batch [3400] Speed: 260.80 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 272.69 samples/sec Train-accuracy=0.492812 | |
| INFO:root:Epoch[22] Batch [3450] Speed: 272.69 samples/sec Train-top_k_accuracy_5=0.732109 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 254.30 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[22] Batch [3500] Speed: 254.30 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 250.25 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[22] Batch [3550] Speed: 250.25 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 255.29 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[22] Batch [3600] Speed: 255.29 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 251.91 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[22] Batch [3650] Speed: 251.91 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 245.39 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[22] Batch [3700] Speed: 245.39 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 247.52 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[22] Batch [3750] Speed: 247.52 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 251.83 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[22] Batch [3800] Speed: 251.83 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 260.43 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[22] Batch [3850] Speed: 260.43 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 247.21 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[22] Batch [3900] Speed: 247.21 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 252.91 samples/sec Train-accuracy=0.491641 | |
| INFO:root:Epoch[22] Batch [3950] Speed: 252.91 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 248.37 samples/sec Train-accuracy=0.490781 | |
| INFO:root:Epoch[22] Batch [4000] Speed: 248.37 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 263.87 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[22] Batch [4050] Speed: 263.87 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 259.85 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[22] Batch [4100] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 261.13 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[22] Batch [4150] Speed: 261.13 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 256.31 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[22] Batch [4200] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 245.85 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[22] Batch [4250] Speed: 245.85 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 246.44 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[22] Batch [4300] Speed: 246.44 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 249.33 samples/sec Train-accuracy=0.494688 | |
| INFO:root:Epoch[22] Batch [4350] Speed: 249.33 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 260.07 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[22] Batch [4400] Speed: 260.07 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 266.49 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[22] Batch [4450] Speed: 266.49 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 267.09 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[22] Batch [4500] Speed: 267.09 samples/sec Train-top_k_accuracy_5=0.738437 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 265.52 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[22] Batch [4550] Speed: 265.52 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 275.08 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[22] Batch [4600] Speed: 275.08 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 266.99 samples/sec Train-accuracy=0.490234 | |
| INFO:root:Epoch[22] Batch [4650] Speed: 266.99 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 262.74 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[22] Batch [4700] Speed: 262.74 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 270.85 samples/sec Train-accuracy=0.491094 | |
| INFO:root:Epoch[22] Batch [4750] Speed: 270.85 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[22] Batch [4800] Speed: 268.56 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[22] Batch [4800] Speed: 268.56 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[22] Batch [4850] Speed: 267.40 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[22] Batch [4850] Speed: 267.40 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 269.06 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[22] Batch [4900] Speed: 269.06 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[22] Batch [4950] Speed: 252.34 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[22] Batch [4950] Speed: 252.34 samples/sec Train-top_k_accuracy_5=0.735078 | |
| INFO:root:Epoch[22] Batch [5000] Speed: 259.60 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[22] Batch [5000] Speed: 259.60 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[22] Resetting Data Iterator | |
| INFO:root:Epoch[22] Time cost=4872.261 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0023.params" | |
| INFO:root:Epoch[22] Validation-accuracy=0.563915 | |
| INFO:root:Epoch[22] Validation-top_k_accuracy_5=0.812321 | |
| INFO:root:Epoch[23] Batch [50] Speed: 283.39 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[23] Batch [50] Speed: 283.39 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[23] Batch [100] Speed: 278.05 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[23] Batch [100] Speed: 278.05 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[23] Batch [150] Speed: 278.44 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[23] Batch [150] Speed: 278.44 samples/sec Train-top_k_accuracy_5=0.740703 | |
| INFO:root:Epoch[23] Batch [200] Speed: 278.70 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[23] Batch [200] Speed: 278.70 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[23] Batch [250] Speed: 254.53 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[23] Batch [250] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[23] Batch [300] Speed: 241.92 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[23] Batch [300] Speed: 241.92 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[23] Batch [350] Speed: 256.63 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[23] Batch [350] Speed: 256.63 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[23] Batch [400] Speed: 257.78 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[23] Batch [400] Speed: 257.78 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[23] Batch [450] Speed: 262.07 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[23] Batch [450] Speed: 262.07 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[23] Batch [500] Speed: 263.24 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[23] Batch [500] Speed: 263.24 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[23] Batch [550] Speed: 262.13 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[23] Batch [550] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[23] Batch [600] Speed: 243.25 samples/sec Train-accuracy=0.484766 | |
| INFO:root:Epoch[23] Batch [600] Speed: 243.25 samples/sec Train-top_k_accuracy_5=0.728047 | |
| INFO:root:Epoch[23] Batch [650] Speed: 256.84 samples/sec Train-accuracy=0.490000 | |
| INFO:root:Epoch[23] Batch [650] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.736641 | |
| INFO:root:Epoch[23] Batch [700] Speed: 265.77 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[23] Batch [700] Speed: 265.77 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[23] Batch [750] Speed: 263.11 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[23] Batch [750] Speed: 263.11 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[23] Batch [800] Speed: 257.47 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[23] Batch [800] Speed: 257.47 samples/sec Train-top_k_accuracy_5=0.732734 | |
| INFO:root:Epoch[23] Batch [850] Speed: 243.02 samples/sec Train-accuracy=0.489375 | |
| INFO:root:Epoch[23] Batch [850] Speed: 243.02 samples/sec Train-top_k_accuracy_5=0.732187 | |
| INFO:root:Epoch[23] Batch [900] Speed: 259.79 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[23] Batch [900] Speed: 259.79 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[23] Batch [950] Speed: 271.37 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[23] Batch [950] Speed: 271.37 samples/sec Train-top_k_accuracy_5=0.735938 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 264.70 samples/sec Train-accuracy=0.491406 | |
| INFO:root:Epoch[23] Batch [1000] Speed: 264.70 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 278.20 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[23] Batch [1050] Speed: 278.20 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 274.71 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[23] Batch [1100] Speed: 274.71 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 260.47 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[23] Batch [1150] Speed: 260.47 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 268.84 samples/sec Train-accuracy=0.492031 | |
| INFO:root:Epoch[23] Batch [1200] Speed: 268.84 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 265.68 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[23] Batch [1250] Speed: 265.68 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 262.43 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[23] Batch [1300] Speed: 262.43 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 261.33 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[23] Batch [1350] Speed: 261.33 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 266.52 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[23] Batch [1400] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 262.64 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[23] Batch [1450] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 260.63 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[23] Batch [1500] Speed: 260.63 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 270.68 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[23] Batch [1550] Speed: 270.68 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 262.18 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[23] Batch [1600] Speed: 262.18 samples/sec Train-top_k_accuracy_5=0.737969 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 258.42 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[23] Batch [1650] Speed: 258.42 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 247.26 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[23] Batch [1700] Speed: 247.26 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 241.93 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[23] Batch [1750] Speed: 241.93 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 265.92 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[23] Batch [1800] Speed: 265.92 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 271.78 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[23] Batch [1850] Speed: 271.78 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 265.45 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[23] Batch [1900] Speed: 265.45 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 270.11 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[23] Batch [1950] Speed: 270.11 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 259.64 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[23] Batch [2000] Speed: 259.64 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 262.52 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[23] Batch [2050] Speed: 262.52 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 255.98 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[23] Batch [2100] Speed: 255.98 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 270.06 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[23] Batch [2150] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.752031 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 262.61 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[23] Batch [2200] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 263.76 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[23] Batch [2250] Speed: 263.76 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 264.85 samples/sec Train-accuracy=0.500938 | |
| INFO:root:Epoch[23] Batch [2300] Speed: 264.85 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 249.72 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[23] Batch [2350] Speed: 249.72 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 259.02 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[23] Batch [2400] Speed: 259.02 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 262.47 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[23] Batch [2450] Speed: 262.47 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 254.19 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[23] Batch [2500] Speed: 254.19 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 272.61 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[23] Batch [2550] Speed: 272.61 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 260.38 samples/sec Train-accuracy=0.488281 | |
| INFO:root:Epoch[23] Batch [2600] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 265.81 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[23] Batch [2650] Speed: 265.81 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 253.56 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[23] Batch [2700] Speed: 253.56 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 252.89 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[23] Batch [2750] Speed: 252.89 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 261.46 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[23] Batch [2800] Speed: 261.46 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 260.38 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[23] Batch [2850] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 261.71 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[23] Batch [2900] Speed: 261.71 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 265.07 samples/sec Train-accuracy=0.492891 | |
| INFO:root:Epoch[23] Batch [2950] Speed: 265.07 samples/sec Train-top_k_accuracy_5=0.736875 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 264.49 samples/sec Train-accuracy=0.491172 | |
| INFO:root:Epoch[23] Batch [3000] Speed: 264.49 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 271.40 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[23] Batch [3050] Speed: 271.40 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 275.45 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[23] Batch [3100] Speed: 275.45 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 262.95 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[23] Batch [3150] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 278.85 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[23] Batch [3200] Speed: 278.85 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 267.12 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[23] Batch [3250] Speed: 267.12 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 260.95 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[23] Batch [3300] Speed: 260.95 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 257.91 samples/sec Train-accuracy=0.493516 | |
| INFO:root:Epoch[23] Batch [3350] Speed: 257.91 samples/sec Train-top_k_accuracy_5=0.732891 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 262.17 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[23] Batch [3400] Speed: 262.17 samples/sec Train-top_k_accuracy_5=0.741016 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 264.70 samples/sec Train-accuracy=0.492109 | |
| INFO:root:Epoch[23] Batch [3450] Speed: 264.70 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 264.39 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[23] Batch [3500] Speed: 264.39 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 272.52 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[23] Batch [3550] Speed: 272.52 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 270.05 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[23] Batch [3600] Speed: 270.05 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 274.85 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[23] Batch [3650] Speed: 274.85 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 272.89 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[23] Batch [3700] Speed: 272.89 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 269.52 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[23] Batch [3750] Speed: 269.52 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 275.76 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[23] Batch [3800] Speed: 275.76 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 266.87 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[23] Batch [3850] Speed: 266.87 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 266.03 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[23] Batch [3900] Speed: 266.03 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 274.87 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[23] Batch [3950] Speed: 274.87 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 263.26 samples/sec Train-accuracy=0.489766 | |
| INFO:root:Epoch[23] Batch [4000] Speed: 263.26 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 268.06 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[23] Batch [4050] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 263.67 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[23] Batch [4100] Speed: 263.67 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 272.73 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[23] Batch [4150] Speed: 272.73 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 268.81 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[23] Batch [4200] Speed: 268.81 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 261.55 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[23] Batch [4250] Speed: 261.55 samples/sec Train-top_k_accuracy_5=0.741172 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 268.19 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[23] Batch [4300] Speed: 268.19 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 257.49 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[23] Batch [4350] Speed: 257.49 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 255.58 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[23] Batch [4400] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 274.31 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[23] Batch [4450] Speed: 274.31 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 258.59 samples/sec Train-accuracy=0.494688 | |
| INFO:root:Epoch[23] Batch [4500] Speed: 258.59 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 267.70 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[23] Batch [4550] Speed: 267.70 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 269.72 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[23] Batch [4600] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 274.72 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[23] Batch [4650] Speed: 274.72 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 272.46 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[23] Batch [4700] Speed: 272.46 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 270.79 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[23] Batch [4750] Speed: 270.79 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 252.05 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[23] Batch [4800] Speed: 252.05 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 241.95 samples/sec Train-accuracy=0.492422 | |
| INFO:root:Epoch[23] Batch [4850] Speed: 241.95 samples/sec Train-top_k_accuracy_5=0.736797 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 249.22 samples/sec Train-accuracy=0.492422 | |
| INFO:root:Epoch[23] Batch [4900] Speed: 249.22 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[23] Batch [4950] Speed: 259.77 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[23] Batch [4950] Speed: 259.77 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[23] Batch [5000] Speed: 259.53 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[23] Batch [5000] Speed: 259.53 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[23] Resetting Data Iterator | |
| INFO:root:Epoch[23] Time cost=4862.769 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0024.params" | |
| INFO:root:Epoch[23] Validation-accuracy=0.560128 | |
| INFO:root:Epoch[23] Validation-top_k_accuracy_5=0.806999 | |
| INFO:root:Epoch[24] Batch [50] Speed: 280.75 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[24] Batch [50] Speed: 280.75 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[24] Batch [100] Speed: 276.67 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[24] Batch [100] Speed: 276.67 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[24] Batch [150] Speed: 276.70 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[24] Batch [150] Speed: 276.70 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[24] Batch [200] Speed: 279.19 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[24] Batch [200] Speed: 279.19 samples/sec Train-top_k_accuracy_5=0.750078 | |
| INFO:root:Epoch[24] Batch [250] Speed: 280.31 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[24] Batch [250] Speed: 280.31 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[24] Batch [300] Speed: 279.16 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[24] Batch [300] Speed: 279.16 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[24] Batch [350] Speed: 280.78 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[24] Batch [350] Speed: 280.78 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[24] Batch [400] Speed: 277.29 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[24] Batch [400] Speed: 277.29 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[24] Batch [450] Speed: 276.99 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[24] Batch [450] Speed: 276.99 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[24] Batch [500] Speed: 276.44 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[24] Batch [500] Speed: 276.44 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[24] Batch [550] Speed: 279.19 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[24] Batch [550] Speed: 279.19 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[24] Batch [600] Speed: 278.60 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[24] Batch [600] Speed: 278.60 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[24] Batch [650] Speed: 264.33 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[24] Batch [650] Speed: 264.33 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[24] Batch [700] Speed: 258.86 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[24] Batch [700] Speed: 258.86 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[24] Batch [750] Speed: 269.77 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[24] Batch [750] Speed: 269.77 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[24] Batch [800] Speed: 239.80 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[24] Batch [800] Speed: 239.80 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[24] Batch [850] Speed: 262.85 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[24] Batch [850] Speed: 262.85 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[24] Batch [900] Speed: 253.08 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[24] Batch [900] Speed: 253.08 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[24] Batch [950] Speed: 255.50 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[24] Batch [950] Speed: 255.50 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 263.77 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[24] Batch [1000] Speed: 263.77 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 262.53 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[24] Batch [1050] Speed: 262.53 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 261.61 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[24] Batch [1100] Speed: 261.61 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 265.77 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[24] Batch [1150] Speed: 265.77 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 270.06 samples/sec Train-accuracy=0.491484 | |
| INFO:root:Epoch[24] Batch [1200] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.736719 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 261.48 samples/sec Train-accuracy=0.495234 | |
| INFO:root:Epoch[24] Batch [1250] Speed: 261.48 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 264.84 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[24] Batch [1300] Speed: 264.84 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 265.95 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[24] Batch [1350] Speed: 265.95 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 268.04 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[24] Batch [1400] Speed: 268.04 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 266.14 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[24] Batch [1450] Speed: 266.14 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 268.04 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[24] Batch [1500] Speed: 268.04 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 261.02 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[24] Batch [1550] Speed: 261.02 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 264.84 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[24] Batch [1600] Speed: 264.84 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 264.29 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[24] Batch [1650] Speed: 264.29 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 270.39 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[24] Batch [1700] Speed: 270.39 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 268.10 samples/sec Train-accuracy=0.490391 | |
| INFO:root:Epoch[24] Batch [1750] Speed: 268.10 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 256.51 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[24] Batch [1800] Speed: 256.51 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 266.55 samples/sec Train-accuracy=0.492734 | |
| INFO:root:Epoch[24] Batch [1850] Speed: 266.55 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 248.76 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[24] Batch [1900] Speed: 248.76 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 257.07 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[24] Batch [1950] Speed: 257.07 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 260.98 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[24] Batch [2000] Speed: 260.98 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 245.24 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[24] Batch [2050] Speed: 245.24 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 246.92 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[24] Batch [2100] Speed: 246.92 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 238.81 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[24] Batch [2150] Speed: 238.81 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 267.01 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[24] Batch [2200] Speed: 267.01 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 262.21 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[24] Batch [2250] Speed: 262.21 samples/sec Train-top_k_accuracy_5=0.749922 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 261.01 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[24] Batch [2300] Speed: 261.01 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 241.63 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[24] Batch [2350] Speed: 241.63 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 258.77 samples/sec Train-accuracy=0.491719 | |
| INFO:root:Epoch[24] Batch [2400] Speed: 258.77 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 265.12 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[24] Batch [2450] Speed: 265.12 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 266.98 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[24] Batch [2500] Speed: 266.98 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 257.40 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[24] Batch [2550] Speed: 257.40 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 244.79 samples/sec Train-accuracy=0.492266 | |
| INFO:root:Epoch[24] Batch [2600] Speed: 244.79 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 244.68 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[24] Batch [2650] Speed: 244.68 samples/sec Train-top_k_accuracy_5=0.740234 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 256.35 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[24] Batch [2700] Speed: 256.35 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 266.12 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[24] Batch [2750] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 255.58 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[24] Batch [2800] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 266.67 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[24] Batch [2850] Speed: 266.67 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 259.86 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[24] Batch [2900] Speed: 259.86 samples/sec Train-top_k_accuracy_5=0.740547 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 270.87 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[24] Batch [2950] Speed: 270.87 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 260.00 samples/sec Train-accuracy=0.494297 | |
| INFO:root:Epoch[24] Batch [3000] Speed: 260.00 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 262.69 samples/sec Train-accuracy=0.495703 | |
| INFO:root:Epoch[24] Batch [3050] Speed: 262.69 samples/sec Train-top_k_accuracy_5=0.736328 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 268.63 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[24] Batch [3100] Speed: 268.63 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 269.51 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[24] Batch [3150] Speed: 269.51 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 268.60 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[24] Batch [3200] Speed: 268.60 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 262.78 samples/sec Train-accuracy=0.489453 | |
| INFO:root:Epoch[24] Batch [3250] Speed: 262.78 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 276.84 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[24] Batch [3300] Speed: 276.84 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 270.67 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[24] Batch [3350] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.733203 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 267.70 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[24] Batch [3400] Speed: 267.70 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 271.65 samples/sec Train-accuracy=0.495156 | |
| INFO:root:Epoch[24] Batch [3450] Speed: 271.65 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 267.05 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[24] Batch [3500] Speed: 267.05 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 273.08 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[24] Batch [3550] Speed: 273.08 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 273.04 samples/sec Train-accuracy=0.509609 | |
| INFO:root:Epoch[24] Batch [3600] Speed: 273.04 samples/sec Train-top_k_accuracy_5=0.749219 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 273.22 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[24] Batch [3650] Speed: 273.22 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 277.64 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[24] Batch [3700] Speed: 277.64 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 272.33 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[24] Batch [3750] Speed: 272.33 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 273.91 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[24] Batch [3800] Speed: 273.91 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 269.93 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[24] Batch [3850] Speed: 269.93 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 265.61 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[24] Batch [3900] Speed: 265.61 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 273.82 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[24] Batch [3950] Speed: 273.82 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 276.62 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[24] Batch [4000] Speed: 276.62 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 274.91 samples/sec Train-accuracy=0.510938 | |
| INFO:root:Epoch[24] Batch [4050] Speed: 274.91 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 267.66 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[24] Batch [4100] Speed: 267.66 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 269.35 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[24] Batch [4150] Speed: 269.35 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 269.19 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[24] Batch [4200] Speed: 269.19 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 257.17 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[24] Batch [4250] Speed: 257.17 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 275.53 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[24] Batch [4300] Speed: 275.53 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 269.46 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[24] Batch [4350] Speed: 269.46 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 264.86 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[24] Batch [4400] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 266.29 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[24] Batch [4450] Speed: 266.29 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 266.09 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[24] Batch [4500] Speed: 266.09 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 252.43 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[24] Batch [4550] Speed: 252.43 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 241.79 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[24] Batch [4600] Speed: 241.79 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 270.37 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[24] Batch [4650] Speed: 270.37 samples/sec Train-top_k_accuracy_5=0.737031 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 271.95 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[24] Batch [4700] Speed: 271.95 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 267.04 samples/sec Train-accuracy=0.497109 | |
| INFO:root:Epoch[24] Batch [4750] Speed: 267.04 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 265.19 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[24] Batch [4800] Speed: 265.19 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 270.84 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[24] Batch [4850] Speed: 270.84 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 264.61 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[24] Batch [4900] Speed: 264.61 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[24] Batch [4950] Speed: 268.49 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[24] Batch [4950] Speed: 268.49 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[24] Batch [5000] Speed: 268.79 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[24] Batch [5000] Speed: 268.79 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[24] Resetting Data Iterator | |
| INFO:root:Epoch[24] Time cost=4830.498 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0025.params" | |
| INFO:root:Epoch[24] Validation-accuracy=0.555764 | |
| INFO:root:Epoch[24] Validation-top_k_accuracy_5=0.803671 | |
| INFO:root:Epoch[25] Batch [50] Speed: 285.41 samples/sec Train-accuracy=0.508750 | |
| INFO:root:Epoch[25] Batch [50] Speed: 285.41 samples/sec Train-top_k_accuracy_5=0.753125 | |
| INFO:root:Epoch[25] Batch [100] Speed: 279.10 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[25] Batch [100] Speed: 279.10 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[25] Batch [150] Speed: 279.10 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[25] Batch [150] Speed: 279.10 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[25] Batch [200] Speed: 278.99 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[25] Batch [200] Speed: 278.99 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[25] Batch [250] Speed: 278.09 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[25] Batch [250] Speed: 278.09 samples/sec Train-top_k_accuracy_5=0.739609 | |
| INFO:root:Epoch[25] Batch [300] Speed: 279.86 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[25] Batch [300] Speed: 279.86 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[25] Batch [350] Speed: 276.19 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[25] Batch [350] Speed: 276.19 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[25] Batch [400] Speed: 262.89 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[25] Batch [400] Speed: 262.89 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[25] Batch [450] Speed: 272.78 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[25] Batch [450] Speed: 272.78 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[25] Batch [500] Speed: 272.72 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[25] Batch [500] Speed: 272.72 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[25] Batch [550] Speed: 272.26 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[25] Batch [550] Speed: 272.26 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[25] Batch [600] Speed: 272.09 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[25] Batch [600] Speed: 272.09 samples/sec Train-top_k_accuracy_5=0.735859 | |
| INFO:root:Epoch[25] Batch [650] Speed: 270.13 samples/sec Train-accuracy=0.492500 | |
| INFO:root:Epoch[25] Batch [650] Speed: 270.13 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[25] Batch [700] Speed: 270.95 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[25] Batch [700] Speed: 270.95 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[25] Batch [750] Speed: 268.34 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[25] Batch [750] Speed: 268.34 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[25] Batch [800] Speed: 257.83 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[25] Batch [800] Speed: 257.83 samples/sec Train-top_k_accuracy_5=0.741016 | |
| INFO:root:Epoch[25] Batch [850] Speed: 256.46 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[25] Batch [850] Speed: 256.46 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[25] Batch [900] Speed: 253.40 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[25] Batch [900] Speed: 253.40 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[25] Batch [950] Speed: 271.32 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[25] Batch [950] Speed: 271.32 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 262.58 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[25] Batch [1000] Speed: 262.58 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 257.58 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[25] Batch [1050] Speed: 257.58 samples/sec Train-top_k_accuracy_5=0.748047 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 273.79 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[25] Batch [1100] Speed: 273.79 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 258.57 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[25] Batch [1150] Speed: 258.57 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 255.32 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[25] Batch [1200] Speed: 255.32 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 254.56 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[25] Batch [1250] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 255.52 samples/sec Train-accuracy=0.505938 | |
| INFO:root:Epoch[25] Batch [1300] Speed: 255.52 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 261.38 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[25] Batch [1350] Speed: 261.38 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 264.44 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[25] Batch [1400] Speed: 264.44 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 264.88 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[25] Batch [1450] Speed: 264.88 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 264.98 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[25] Batch [1500] Speed: 264.98 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 263.97 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[25] Batch [1550] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 267.55 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[25] Batch [1600] Speed: 267.55 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 242.82 samples/sec Train-accuracy=0.501250 | |
| INFO:root:Epoch[25] Batch [1650] Speed: 242.82 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 259.82 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[25] Batch [1700] Speed: 259.82 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 265.92 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[25] Batch [1750] Speed: 265.92 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 260.30 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[25] Batch [1800] Speed: 260.30 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 259.78 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[25] Batch [1850] Speed: 259.78 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 258.10 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[25] Batch [1900] Speed: 258.10 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 261.06 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[25] Batch [1950] Speed: 261.06 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 259.27 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[25] Batch [2000] Speed: 259.27 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 261.04 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[25] Batch [2050] Speed: 261.04 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 267.35 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[25] Batch [2100] Speed: 267.35 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 269.44 samples/sec Train-accuracy=0.513984 | |
| INFO:root:Epoch[25] Batch [2150] Speed: 269.44 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 260.99 samples/sec Train-accuracy=0.498906 | |
| INFO:root:Epoch[25] Batch [2200] Speed: 260.99 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 242.41 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[25] Batch [2250] Speed: 242.41 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 257.83 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[25] Batch [2300] Speed: 257.83 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 258.97 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[25] Batch [2350] Speed: 258.97 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 250.29 samples/sec Train-accuracy=0.496484 | |
| INFO:root:Epoch[25] Batch [2400] Speed: 250.29 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 265.88 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[25] Batch [2450] Speed: 265.88 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 254.21 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[25] Batch [2500] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 250.03 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[25] Batch [2550] Speed: 250.03 samples/sec Train-top_k_accuracy_5=0.739531 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 265.61 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[25] Batch [2600] Speed: 265.61 samples/sec Train-top_k_accuracy_5=0.733984 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 255.81 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[25] Batch [2650] Speed: 255.81 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 260.90 samples/sec Train-accuracy=0.495937 | |
| INFO:root:Epoch[25] Batch [2700] Speed: 260.90 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 259.90 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[25] Batch [2750] Speed: 259.90 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 256.69 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[25] Batch [2800] Speed: 256.69 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 265.60 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[25] Batch [2850] Speed: 265.60 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 262.61 samples/sec Train-accuracy=0.494453 | |
| INFO:root:Epoch[25] Batch [2900] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 266.77 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[25] Batch [2950] Speed: 266.77 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 267.70 samples/sec Train-accuracy=0.497891 | |
| INFO:root:Epoch[25] Batch [3000] Speed: 267.70 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 262.29 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[25] Batch [3050] Speed: 262.29 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 270.62 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[25] Batch [3100] Speed: 270.62 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 272.79 samples/sec Train-accuracy=0.495469 | |
| INFO:root:Epoch[25] Batch [3150] Speed: 272.79 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 274.45 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[25] Batch [3200] Speed: 274.45 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 276.57 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[25] Batch [3250] Speed: 276.57 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 265.91 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[25] Batch [3300] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 265.75 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[25] Batch [3350] Speed: 265.75 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 261.27 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[25] Batch [3400] Speed: 261.27 samples/sec Train-top_k_accuracy_5=0.737266 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 250.56 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[25] Batch [3450] Speed: 250.56 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 269.44 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[25] Batch [3500] Speed: 269.44 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 269.29 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[25] Batch [3550] Speed: 269.29 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 276.95 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[25] Batch [3600] Speed: 276.95 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 273.75 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[25] Batch [3650] Speed: 273.75 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 267.53 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[25] Batch [3700] Speed: 267.53 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 273.86 samples/sec Train-accuracy=0.498437 | |
| INFO:root:Epoch[25] Batch [3750] Speed: 273.86 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 258.39 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[25] Batch [3800] Speed: 258.39 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 266.67 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[25] Batch [3850] Speed: 266.67 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 268.77 samples/sec Train-accuracy=0.507188 | |
| INFO:root:Epoch[25] Batch [3900] Speed: 268.77 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 265.57 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[25] Batch [3950] Speed: 265.57 samples/sec Train-top_k_accuracy_5=0.733047 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 270.78 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[25] Batch [4000] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 268.29 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[25] Batch [4050] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 273.88 samples/sec Train-accuracy=0.493828 | |
| INFO:root:Epoch[25] Batch [4100] Speed: 273.88 samples/sec Train-top_k_accuracy_5=0.744219 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 272.10 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[25] Batch [4150] Speed: 272.10 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 274.58 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[25] Batch [4200] Speed: 274.58 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 272.41 samples/sec Train-accuracy=0.490078 | |
| INFO:root:Epoch[25] Batch [4250] Speed: 272.41 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 272.78 samples/sec Train-accuracy=0.507734 | |
| INFO:root:Epoch[25] Batch [4300] Speed: 272.78 samples/sec Train-top_k_accuracy_5=0.750391 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 269.13 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[25] Batch [4350] Speed: 269.13 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 267.66 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[25] Batch [4400] Speed: 267.66 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 266.99 samples/sec Train-accuracy=0.506094 | |
| INFO:root:Epoch[25] Batch [4450] Speed: 266.99 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 277.31 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[25] Batch [4500] Speed: 277.31 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 278.07 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[25] Batch [4550] Speed: 278.07 samples/sec Train-top_k_accuracy_5=0.750547 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 277.53 samples/sec Train-accuracy=0.497734 | |
| INFO:root:Epoch[25] Batch [4600] Speed: 277.53 samples/sec Train-top_k_accuracy_5=0.745938 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 265.53 samples/sec Train-accuracy=0.492578 | |
| INFO:root:Epoch[25] Batch [4650] Speed: 265.53 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 266.83 samples/sec Train-accuracy=0.504844 | |
| INFO:root:Epoch[25] Batch [4700] Speed: 266.83 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 259.92 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[25] Batch [4750] Speed: 259.92 samples/sec Train-top_k_accuracy_5=0.738672 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 270.80 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[25] Batch [4800] Speed: 270.80 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 267.54 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[25] Batch [4850] Speed: 267.54 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 270.07 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[25] Batch [4900] Speed: 270.07 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[25] Batch [4950] Speed: 275.05 samples/sec Train-accuracy=0.490938 | |
| INFO:root:Epoch[25] Batch [4950] Speed: 275.05 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[25] Batch [5000] Speed: 268.37 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[25] Batch [5000] Speed: 268.37 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[25] Resetting Data Iterator | |
| INFO:root:Epoch[25] Time cost=4820.511 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0026.params" | |
| INFO:root:Epoch[25] Validation-accuracy=0.566924 | |
| INFO:root:Epoch[25] Validation-top_k_accuracy_5=0.813098 | |
| INFO:root:Epoch[26] Batch [50] Speed: 285.52 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[26] Batch [50] Speed: 285.52 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[26] Batch [100] Speed: 278.78 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[26] Batch [100] Speed: 278.78 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[26] Batch [150] Speed: 277.18 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[26] Batch [150] Speed: 277.18 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[26] Batch [200] Speed: 276.95 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[26] Batch [200] Speed: 276.95 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[26] Batch [250] Speed: 272.81 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[26] Batch [250] Speed: 272.81 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[26] Batch [300] Speed: 257.50 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[26] Batch [300] Speed: 257.50 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[26] Batch [350] Speed: 258.88 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[26] Batch [350] Speed: 258.88 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[26] Batch [400] Speed: 273.97 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[26] Batch [400] Speed: 273.97 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[26] Batch [450] Speed: 270.37 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[26] Batch [450] Speed: 270.37 samples/sec Train-top_k_accuracy_5=0.744687 | |
| INFO:root:Epoch[26] Batch [500] Speed: 265.62 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[26] Batch [500] Speed: 265.62 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[26] Batch [550] Speed: 273.14 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[26] Batch [550] Speed: 273.14 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[26] Batch [600] Speed: 276.94 samples/sec Train-accuracy=0.483828 | |
| INFO:root:Epoch[26] Batch [600] Speed: 276.94 samples/sec Train-top_k_accuracy_5=0.732031 | |
| INFO:root:Epoch[26] Batch [650] Speed: 265.42 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[26] Batch [650] Speed: 265.42 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[26] Batch [700] Speed: 267.86 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[26] Batch [700] Speed: 267.86 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[26] Batch [750] Speed: 265.98 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[26] Batch [750] Speed: 265.98 samples/sec Train-top_k_accuracy_5=0.746172 | |
| INFO:root:Epoch[26] Batch [800] Speed: 272.69 samples/sec Train-accuracy=0.489297 | |
| INFO:root:Epoch[26] Batch [800] Speed: 272.69 samples/sec Train-top_k_accuracy_5=0.734297 | |
| INFO:root:Epoch[26] Batch [850] Speed: 277.35 samples/sec Train-accuracy=0.493594 | |
| INFO:root:Epoch[26] Batch [850] Speed: 277.35 samples/sec Train-top_k_accuracy_5=0.737109 | |
| INFO:root:Epoch[26] Batch [900] Speed: 266.08 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[26] Batch [900] Speed: 266.08 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[26] Batch [950] Speed: 264.50 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[26] Batch [950] Speed: 264.50 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 266.73 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[26] Batch [1000] Speed: 266.73 samples/sec Train-top_k_accuracy_5=0.737500 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 262.12 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[26] Batch [1050] Speed: 262.12 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 273.53 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[26] Batch [1100] Speed: 273.53 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 274.44 samples/sec Train-accuracy=0.498203 | |
| INFO:root:Epoch[26] Batch [1150] Speed: 274.44 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 269.32 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[26] Batch [1200] Speed: 269.32 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 275.39 samples/sec Train-accuracy=0.501094 | |
| INFO:root:Epoch[26] Batch [1250] Speed: 275.39 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 267.35 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[26] Batch [1300] Speed: 267.35 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 261.60 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[26] Batch [1350] Speed: 261.60 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 263.50 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[26] Batch [1400] Speed: 263.50 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 266.61 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[26] Batch [1450] Speed: 266.61 samples/sec Train-top_k_accuracy_5=0.750469 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 269.49 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[26] Batch [1500] Speed: 269.49 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 275.66 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[26] Batch [1550] Speed: 275.66 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 272.46 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[26] Batch [1600] Speed: 272.46 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 267.65 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[26] Batch [1650] Speed: 267.65 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 269.43 samples/sec Train-accuracy=0.490469 | |
| INFO:root:Epoch[26] Batch [1700] Speed: 269.43 samples/sec Train-top_k_accuracy_5=0.733828 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 265.75 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[26] Batch [1750] Speed: 265.75 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 274.23 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[26] Batch [1800] Speed: 274.23 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 266.12 samples/sec Train-accuracy=0.508984 | |
| INFO:root:Epoch[26] Batch [1850] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 270.90 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[26] Batch [1900] Speed: 270.90 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 255.47 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[26] Batch [1950] Speed: 255.47 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 275.68 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[26] Batch [2000] Speed: 275.68 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 263.59 samples/sec Train-accuracy=0.497500 | |
| INFO:root:Epoch[26] Batch [2050] Speed: 263.59 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 264.78 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[26] Batch [2100] Speed: 264.78 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 277.16 samples/sec Train-accuracy=0.510391 | |
| INFO:root:Epoch[26] Batch [2150] Speed: 277.16 samples/sec Train-top_k_accuracy_5=0.752188 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 271.79 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[26] Batch [2200] Speed: 271.79 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 276.97 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[26] Batch [2250] Speed: 276.97 samples/sec Train-top_k_accuracy_5=0.746484 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 258.45 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[26] Batch [2300] Speed: 258.45 samples/sec Train-top_k_accuracy_5=0.741641 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 264.90 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[26] Batch [2350] Speed: 264.90 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 267.10 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[26] Batch [2400] Speed: 267.10 samples/sec Train-top_k_accuracy_5=0.734062 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 266.74 samples/sec Train-accuracy=0.492969 | |
| INFO:root:Epoch[26] Batch [2450] Speed: 266.74 samples/sec Train-top_k_accuracy_5=0.738359 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 267.86 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[26] Batch [2500] Speed: 267.86 samples/sec Train-top_k_accuracy_5=0.738516 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 254.36 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[26] Batch [2550] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 266.20 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[26] Batch [2600] Speed: 266.20 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 272.97 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[26] Batch [2650] Speed: 272.97 samples/sec Train-top_k_accuracy_5=0.741094 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 270.41 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[26] Batch [2700] Speed: 270.41 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 261.89 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[26] Batch [2750] Speed: 261.89 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 271.46 samples/sec Train-accuracy=0.489453 | |
| INFO:root:Epoch[26] Batch [2800] Speed: 271.46 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 263.03 samples/sec Train-accuracy=0.498750 | |
| INFO:root:Epoch[26] Batch [2850] Speed: 263.03 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 269.67 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[26] Batch [2900] Speed: 269.67 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 269.90 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[26] Batch [2950] Speed: 269.90 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 261.85 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[26] Batch [3000] Speed: 261.85 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 258.77 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[26] Batch [3050] Speed: 258.77 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 252.80 samples/sec Train-accuracy=0.503672 | |
| INFO:root:Epoch[26] Batch [3100] Speed: 252.80 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 252.49 samples/sec Train-accuracy=0.497578 | |
| INFO:root:Epoch[26] Batch [3150] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 273.00 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[26] Batch [3200] Speed: 273.00 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 272.55 samples/sec Train-accuracy=0.488828 | |
| INFO:root:Epoch[26] Batch [3250] Speed: 272.55 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 260.07 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[26] Batch [3300] Speed: 260.07 samples/sec Train-top_k_accuracy_5=0.747188 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 266.85 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[26] Batch [3350] Speed: 266.85 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 254.08 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[26] Batch [3400] Speed: 254.08 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 262.93 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[26] Batch [3450] Speed: 262.93 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 260.27 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[26] Batch [3500] Speed: 260.27 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 263.82 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[26] Batch [3550] Speed: 263.82 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 265.56 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[26] Batch [3600] Speed: 265.56 samples/sec Train-top_k_accuracy_5=0.741563 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 265.34 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[26] Batch [3650] Speed: 265.34 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 264.21 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[26] Batch [3700] Speed: 264.21 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 271.22 samples/sec Train-accuracy=0.501406 | |
| INFO:root:Epoch[26] Batch [3750] Speed: 271.22 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 266.22 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[26] Batch [3800] Speed: 266.22 samples/sec Train-top_k_accuracy_5=0.744453 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 273.67 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[26] Batch [3850] Speed: 273.67 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 277.03 samples/sec Train-accuracy=0.511172 | |
| INFO:root:Epoch[26] Batch [3900] Speed: 277.03 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 273.86 samples/sec Train-accuracy=0.493047 | |
| INFO:root:Epoch[26] Batch [3950] Speed: 273.86 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 265.49 samples/sec Train-accuracy=0.494609 | |
| INFO:root:Epoch[26] Batch [4000] Speed: 265.49 samples/sec Train-top_k_accuracy_5=0.735781 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 266.39 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[26] Batch [4050] Speed: 266.39 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 259.42 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[26] Batch [4100] Speed: 259.42 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 266.76 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[26] Batch [4150] Speed: 266.76 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 261.94 samples/sec Train-accuracy=0.496250 | |
| INFO:root:Epoch[26] Batch [4200] Speed: 261.94 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 258.98 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[26] Batch [4250] Speed: 258.98 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 272.51 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[26] Batch [4300] Speed: 272.51 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 273.44 samples/sec Train-accuracy=0.493359 | |
| INFO:root:Epoch[26] Batch [4350] Speed: 273.44 samples/sec Train-top_k_accuracy_5=0.735000 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 269.83 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[26] Batch [4400] Speed: 269.83 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 263.44 samples/sec Train-accuracy=0.502109 | |
| INFO:root:Epoch[26] Batch [4450] Speed: 263.44 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 264.71 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[26] Batch [4500] Speed: 264.71 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 259.34 samples/sec Train-accuracy=0.503203 | |
| INFO:root:Epoch[26] Batch [4550] Speed: 259.34 samples/sec Train-top_k_accuracy_5=0.738281 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 260.85 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[26] Batch [4600] Speed: 260.85 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 261.18 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[26] Batch [4650] Speed: 261.18 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 259.71 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[26] Batch [4700] Speed: 259.71 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 267.75 samples/sec Train-accuracy=0.498672 | |
| INFO:root:Epoch[26] Batch [4750] Speed: 267.75 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 278.24 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[26] Batch [4800] Speed: 278.24 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 276.39 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[26] Batch [4850] Speed: 276.39 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 264.22 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[26] Batch [4900] Speed: 264.22 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[26] Batch [4950] Speed: 276.03 samples/sec Train-accuracy=0.493437 | |
| INFO:root:Epoch[26] Batch [4950] Speed: 276.03 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[26] Batch [5000] Speed: 279.07 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[26] Batch [5000] Speed: 279.07 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[26] Resetting Data Iterator | |
| INFO:root:Epoch[26] Time cost=4788.950 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0027.params" | |
| INFO:root:Epoch[26] Validation-accuracy=0.552615 | |
| INFO:root:Epoch[26] Validation-top_k_accuracy_5=0.803193 | |
| INFO:root:Epoch[27] Batch [50] Speed: 284.02 samples/sec Train-accuracy=0.515000 | |
| INFO:root:Epoch[27] Batch [50] Speed: 284.02 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[27] Batch [100] Speed: 279.86 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[27] Batch [100] Speed: 279.86 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[27] Batch [150] Speed: 276.81 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[27] Batch [150] Speed: 276.81 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[27] Batch [200] Speed: 277.56 samples/sec Train-accuracy=0.496797 | |
| INFO:root:Epoch[27] Batch [200] Speed: 277.56 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[27] Batch [250] Speed: 276.73 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[27] Batch [250] Speed: 276.73 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[27] Batch [300] Speed: 276.78 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[27] Batch [300] Speed: 276.78 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[27] Batch [350] Speed: 276.34 samples/sec Train-accuracy=0.499141 | |
| INFO:root:Epoch[27] Batch [350] Speed: 276.34 samples/sec Train-top_k_accuracy_5=0.746563 | |
| INFO:root:Epoch[27] Batch [400] Speed: 277.69 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[27] Batch [400] Speed: 277.69 samples/sec Train-top_k_accuracy_5=0.746797 | |
| INFO:root:Epoch[27] Batch [450] Speed: 276.82 samples/sec Train-accuracy=0.496406 | |
| INFO:root:Epoch[27] Batch [450] Speed: 276.82 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[27] Batch [500] Speed: 275.32 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[27] Batch [500] Speed: 275.32 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[27] Batch [550] Speed: 271.75 samples/sec Train-accuracy=0.501563 | |
| INFO:root:Epoch[27] Batch [550] Speed: 271.75 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[27] Batch [600] Speed: 262.55 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[27] Batch [600] Speed: 262.55 samples/sec Train-top_k_accuracy_5=0.739297 | |
| INFO:root:Epoch[27] Batch [650] Speed: 266.61 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[27] Batch [650] Speed: 266.61 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[27] Batch [700] Speed: 258.06 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[27] Batch [700] Speed: 258.06 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[27] Batch [750] Speed: 261.34 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[27] Batch [750] Speed: 261.34 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[27] Batch [800] Speed: 270.91 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[27] Batch [800] Speed: 270.91 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[27] Batch [850] Speed: 263.26 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[27] Batch [850] Speed: 263.26 samples/sec Train-top_k_accuracy_5=0.736406 | |
| INFO:root:Epoch[27] Batch [900] Speed: 273.42 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[27] Batch [900] Speed: 273.42 samples/sec Train-top_k_accuracy_5=0.739844 | |
| INFO:root:Epoch[27] Batch [950] Speed: 275.17 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[27] Batch [950] Speed: 275.17 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 272.53 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[27] Batch [1000] Speed: 272.53 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 272.37 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[27] Batch [1050] Speed: 272.37 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 263.63 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[27] Batch [1100] Speed: 263.63 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 272.34 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[27] Batch [1150] Speed: 272.34 samples/sec Train-top_k_accuracy_5=0.742109 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 268.91 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[27] Batch [1200] Speed: 268.91 samples/sec Train-top_k_accuracy_5=0.738125 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 273.55 samples/sec Train-accuracy=0.505078 | |
| INFO:root:Epoch[27] Batch [1250] Speed: 273.55 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 257.41 samples/sec Train-accuracy=0.496016 | |
| INFO:root:Epoch[27] Batch [1300] Speed: 257.41 samples/sec Train-top_k_accuracy_5=0.738750 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 265.96 samples/sec Train-accuracy=0.509141 | |
| INFO:root:Epoch[27] Batch [1350] Speed: 265.96 samples/sec Train-top_k_accuracy_5=0.749297 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 263.81 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[27] Batch [1400] Speed: 263.81 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 262.13 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[27] Batch [1450] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 270.55 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[27] Batch [1500] Speed: 270.55 samples/sec Train-top_k_accuracy_5=0.738984 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 277.74 samples/sec Train-accuracy=0.511094 | |
| INFO:root:Epoch[27] Batch [1550] Speed: 277.74 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 275.40 samples/sec Train-accuracy=0.502422 | |
| INFO:root:Epoch[27] Batch [1600] Speed: 275.40 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 277.02 samples/sec Train-accuracy=0.508906 | |
| INFO:root:Epoch[27] Batch [1650] Speed: 277.02 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 264.84 samples/sec Train-accuracy=0.491016 | |
| INFO:root:Epoch[27] Batch [1700] Speed: 264.84 samples/sec Train-top_k_accuracy_5=0.730391 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 261.42 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[27] Batch [1750] Speed: 261.42 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 267.46 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[27] Batch [1800] Speed: 267.46 samples/sec Train-top_k_accuracy_5=0.744062 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 264.56 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[27] Batch [1850] Speed: 264.56 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 268.00 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[27] Batch [1900] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 271.84 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[27] Batch [1950] Speed: 271.84 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 276.49 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[27] Batch [2000] Speed: 276.49 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 273.82 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[27] Batch [2050] Speed: 273.82 samples/sec Train-top_k_accuracy_5=0.741328 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 265.49 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[27] Batch [2100] Speed: 265.49 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 271.03 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[27] Batch [2150] Speed: 271.03 samples/sec Train-top_k_accuracy_5=0.755234 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 267.83 samples/sec Train-accuracy=0.506875 | |
| INFO:root:Epoch[27] Batch [2200] Speed: 267.83 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 270.77 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[27] Batch [2250] Speed: 270.77 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 272.98 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[27] Batch [2300] Speed: 272.98 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 254.52 samples/sec Train-accuracy=0.499531 | |
| INFO:root:Epoch[27] Batch [2350] Speed: 254.52 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 258.84 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[27] Batch [2400] Speed: 258.84 samples/sec Train-top_k_accuracy_5=0.735313 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 253.98 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[27] Batch [2450] Speed: 253.98 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 255.13 samples/sec Train-accuracy=0.494922 | |
| INFO:root:Epoch[27] Batch [2500] Speed: 255.13 samples/sec Train-top_k_accuracy_5=0.736563 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 256.15 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[27] Batch [2550] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 250.72 samples/sec Train-accuracy=0.498750 | |
| INFO:root:Epoch[27] Batch [2600] Speed: 250.72 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 266.94 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[27] Batch [2650] Speed: 266.94 samples/sec Train-top_k_accuracy_5=0.743828 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 263.50 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[27] Batch [2700] Speed: 263.50 samples/sec Train-top_k_accuracy_5=0.746719 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 265.06 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[27] Batch [2750] Speed: 265.06 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 262.68 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[27] Batch [2800] Speed: 262.68 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 267.61 samples/sec Train-accuracy=0.504375 | |
| INFO:root:Epoch[27] Batch [2850] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 266.52 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[27] Batch [2900] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 265.42 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[27] Batch [2950] Speed: 265.42 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 252.13 samples/sec Train-accuracy=0.500078 | |
| INFO:root:Epoch[27] Batch [3000] Speed: 252.13 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 260.53 samples/sec Train-accuracy=0.498281 | |
| INFO:root:Epoch[27] Batch [3050] Speed: 260.53 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 249.42 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[27] Batch [3100] Speed: 249.42 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 263.55 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[27] Batch [3150] Speed: 263.55 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 262.09 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[27] Batch [3200] Speed: 262.09 samples/sec Train-top_k_accuracy_5=0.744844 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 258.60 samples/sec Train-accuracy=0.496094 | |
| INFO:root:Epoch[27] Batch [3250] Speed: 258.60 samples/sec Train-top_k_accuracy_5=0.736172 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 251.19 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[27] Batch [3300] Speed: 251.19 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 264.96 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[27] Batch [3350] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 270.22 samples/sec Train-accuracy=0.505156 | |
| INFO:root:Epoch[27] Batch [3400] Speed: 270.22 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 261.61 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[27] Batch [3450] Speed: 261.61 samples/sec Train-top_k_accuracy_5=0.745469 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 265.78 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[27] Batch [3500] Speed: 265.78 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 254.64 samples/sec Train-accuracy=0.508047 | |
| INFO:root:Epoch[27] Batch [3550] Speed: 254.64 samples/sec Train-top_k_accuracy_5=0.750703 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 269.19 samples/sec Train-accuracy=0.511641 | |
| INFO:root:Epoch[27] Batch [3600] Speed: 269.19 samples/sec Train-top_k_accuracy_5=0.752422 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 256.81 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[27] Batch [3650] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.749687 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 251.49 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[27] Batch [3700] Speed: 251.49 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 271.32 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[27] Batch [3750] Speed: 271.32 samples/sec Train-top_k_accuracy_5=0.742734 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 267.59 samples/sec Train-accuracy=0.504453 | |
| INFO:root:Epoch[27] Batch [3800] Speed: 267.59 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 272.06 samples/sec Train-accuracy=0.505000 | |
| INFO:root:Epoch[27] Batch [3850] Speed: 272.06 samples/sec Train-top_k_accuracy_5=0.743750 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 262.36 samples/sec Train-accuracy=0.513203 | |
| INFO:root:Epoch[27] Batch [3900] Speed: 262.36 samples/sec Train-top_k_accuracy_5=0.750156 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 275.79 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[27] Batch [3950] Speed: 275.79 samples/sec Train-top_k_accuracy_5=0.741406 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 271.05 samples/sec Train-accuracy=0.491953 | |
| INFO:root:Epoch[27] Batch [4000] Speed: 271.05 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 271.03 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[27] Batch [4050] Speed: 271.03 samples/sec Train-top_k_accuracy_5=0.747812 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 261.19 samples/sec Train-accuracy=0.497422 | |
| INFO:root:Epoch[27] Batch [4100] Speed: 261.19 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 268.51 samples/sec Train-accuracy=0.509062 | |
| INFO:root:Epoch[27] Batch [4150] Speed: 268.51 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 269.61 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[27] Batch [4200] Speed: 269.61 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 262.41 samples/sec Train-accuracy=0.499375 | |
| INFO:root:Epoch[27] Batch [4250] Speed: 262.41 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 275.77 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[27] Batch [4300] Speed: 275.77 samples/sec Train-top_k_accuracy_5=0.746875 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 276.18 samples/sec Train-accuracy=0.498594 | |
| INFO:root:Epoch[27] Batch [4350] Speed: 276.18 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 276.54 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[27] Batch [4400] Speed: 276.54 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 271.59 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[27] Batch [4450] Speed: 271.59 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 270.33 samples/sec Train-accuracy=0.494531 | |
| INFO:root:Epoch[27] Batch [4500] Speed: 270.33 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 260.23 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[27] Batch [4550] Speed: 260.23 samples/sec Train-top_k_accuracy_5=0.743906 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 267.92 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[27] Batch [4600] Speed: 267.92 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 262.64 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[27] Batch [4650] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 274.26 samples/sec Train-accuracy=0.507422 | |
| INFO:root:Epoch[27] Batch [4700] Speed: 274.26 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 277.20 samples/sec Train-accuracy=0.495000 | |
| INFO:root:Epoch[27] Batch [4750] Speed: 277.20 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 273.76 samples/sec Train-accuracy=0.496563 | |
| INFO:root:Epoch[27] Batch [4800] Speed: 273.76 samples/sec Train-top_k_accuracy_5=0.742500 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 270.96 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[27] Batch [4850] Speed: 270.96 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 276.86 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[27] Batch [4900] Speed: 276.86 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[27] Batch [4950] Speed: 269.08 samples/sec Train-accuracy=0.498359 | |
| INFO:root:Epoch[27] Batch [4950] Speed: 269.08 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[27] Batch [5000] Speed: 266.70 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[27] Batch [5000] Speed: 266.70 samples/sec Train-top_k_accuracy_5=0.753203 | |
| INFO:root:Epoch[27] Resetting Data Iterator | |
| INFO:root:Epoch[27] Time cost=4792.438 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0028.params" | |
| INFO:root:Epoch[27] Validation-accuracy=0.553532 | |
| INFO:root:Epoch[27] Validation-top_k_accuracy_5=0.804129 | |
| INFO:root:Epoch[28] Batch [50] Speed: 282.96 samples/sec Train-accuracy=0.507891 | |
| INFO:root:Epoch[28] Batch [50] Speed: 282.96 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[28] Batch [100] Speed: 279.54 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[28] Batch [100] Speed: 279.54 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[28] Batch [150] Speed: 278.61 samples/sec Train-accuracy=0.511484 | |
| INFO:root:Epoch[28] Batch [150] Speed: 278.61 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[28] Batch [200] Speed: 276.57 samples/sec Train-accuracy=0.503516 | |
| INFO:root:Epoch[28] Batch [200] Speed: 276.57 samples/sec Train-top_k_accuracy_5=0.747266 | |
| INFO:root:Epoch[28] Batch [250] Speed: 276.62 samples/sec Train-accuracy=0.504922 | |
| INFO:root:Epoch[28] Batch [250] Speed: 276.62 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[28] Batch [300] Speed: 251.97 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[28] Batch [300] Speed: 251.97 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[28] Batch [350] Speed: 254.00 samples/sec Train-accuracy=0.501719 | |
| INFO:root:Epoch[28] Batch [350] Speed: 254.00 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[28] Batch [400] Speed: 259.89 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[28] Batch [400] Speed: 259.89 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[28] Batch [450] Speed: 261.25 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[28] Batch [450] Speed: 261.25 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[28] Batch [500] Speed: 269.04 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[28] Batch [500] Speed: 269.04 samples/sec Train-top_k_accuracy_5=0.751094 | |
| INFO:root:Epoch[28] Batch [550] Speed: 258.11 samples/sec Train-accuracy=0.499609 | |
| INFO:root:Epoch[28] Batch [550] Speed: 258.11 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[28] Batch [600] Speed: 267.67 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[28] Batch [600] Speed: 267.67 samples/sec Train-top_k_accuracy_5=0.739453 | |
| INFO:root:Epoch[28] Batch [650] Speed: 266.58 samples/sec Train-accuracy=0.501797 | |
| INFO:root:Epoch[28] Batch [650] Speed: 266.58 samples/sec Train-top_k_accuracy_5=0.751328 | |
| INFO:root:Epoch[28] Batch [700] Speed: 250.74 samples/sec Train-accuracy=0.498984 | |
| INFO:root:Epoch[28] Batch [700] Speed: 250.74 samples/sec Train-top_k_accuracy_5=0.743984 | |
| INFO:root:Epoch[28] Batch [750] Speed: 246.29 samples/sec Train-accuracy=0.504609 | |
| INFO:root:Epoch[28] Batch [750] Speed: 246.29 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[28] Batch [800] Speed: 261.29 samples/sec Train-accuracy=0.495781 | |
| INFO:root:Epoch[28] Batch [800] Speed: 261.29 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[28] Batch [850] Speed: 263.39 samples/sec Train-accuracy=0.494375 | |
| INFO:root:Epoch[28] Batch [850] Speed: 263.39 samples/sec Train-top_k_accuracy_5=0.735234 | |
| INFO:root:Epoch[28] Batch [900] Speed: 260.68 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[28] Batch [900] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[28] Batch [950] Speed: 244.70 samples/sec Train-accuracy=0.495547 | |
| INFO:root:Epoch[28] Batch [950] Speed: 244.70 samples/sec Train-top_k_accuracy_5=0.738594 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 259.04 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[28] Batch [1000] Speed: 259.04 samples/sec Train-top_k_accuracy_5=0.737187 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 248.02 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[28] Batch [1050] Speed: 248.02 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 249.70 samples/sec Train-accuracy=0.502344 | |
| INFO:root:Epoch[28] Batch [1100] Speed: 249.70 samples/sec Train-top_k_accuracy_5=0.747656 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 254.85 samples/sec Train-accuracy=0.494766 | |
| INFO:root:Epoch[28] Batch [1150] Speed: 254.85 samples/sec Train-top_k_accuracy_5=0.737812 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 258.20 samples/sec Train-accuracy=0.497344 | |
| INFO:root:Epoch[28] Batch [1200] Speed: 258.20 samples/sec Train-top_k_accuracy_5=0.740078 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 265.18 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[28] Batch [1250] Speed: 265.18 samples/sec Train-top_k_accuracy_5=0.745313 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 259.85 samples/sec Train-accuracy=0.493672 | |
| INFO:root:Epoch[28] Batch [1300] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.739141 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 255.84 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[28] Batch [1350] Speed: 255.84 samples/sec Train-top_k_accuracy_5=0.747891 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 242.88 samples/sec Train-accuracy=0.504219 | |
| INFO:root:Epoch[28] Batch [1400] Speed: 242.88 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 254.69 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[28] Batch [1450] Speed: 254.69 samples/sec Train-top_k_accuracy_5=0.745781 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 240.49 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[28] Batch [1500] Speed: 240.49 samples/sec Train-top_k_accuracy_5=0.743359 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 253.81 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[28] Batch [1550] Speed: 253.81 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 258.96 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[28] Batch [1600] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 265.61 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[28] Batch [1650] Speed: 265.61 samples/sec Train-top_k_accuracy_5=0.747734 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 251.16 samples/sec Train-accuracy=0.495625 | |
| INFO:root:Epoch[28] Batch [1700] Speed: 251.16 samples/sec Train-top_k_accuracy_5=0.739375 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 258.02 samples/sec Train-accuracy=0.496875 | |
| INFO:root:Epoch[28] Batch [1750] Speed: 258.02 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 265.93 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[28] Batch [1800] Speed: 265.93 samples/sec Train-top_k_accuracy_5=0.736953 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 250.04 samples/sec Train-accuracy=0.499688 | |
| INFO:root:Epoch[28] Batch [1850] Speed: 250.04 samples/sec Train-top_k_accuracy_5=0.737656 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 271.83 samples/sec Train-accuracy=0.508359 | |
| INFO:root:Epoch[28] Batch [1900] Speed: 271.83 samples/sec Train-top_k_accuracy_5=0.744297 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 263.50 samples/sec Train-accuracy=0.507969 | |
| INFO:root:Epoch[28] Batch [1950] Speed: 263.50 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 259.99 samples/sec Train-accuracy=0.502031 | |
| INFO:root:Epoch[28] Batch [2000] Speed: 259.99 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 249.54 samples/sec Train-accuracy=0.500859 | |
| INFO:root:Epoch[28] Batch [2050] Speed: 249.54 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 240.31 samples/sec Train-accuracy=0.498828 | |
| INFO:root:Epoch[28] Batch [2100] Speed: 240.31 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 268.92 samples/sec Train-accuracy=0.512344 | |
| INFO:root:Epoch[28] Batch [2150] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.753359 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 260.75 samples/sec Train-accuracy=0.505859 | |
| INFO:root:Epoch[28] Batch [2200] Speed: 260.75 samples/sec Train-top_k_accuracy_5=0.748125 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 266.33 samples/sec Train-accuracy=0.500234 | |
| INFO:root:Epoch[28] Batch [2250] Speed: 266.33 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 264.36 samples/sec Train-accuracy=0.497031 | |
| INFO:root:Epoch[28] Batch [2300] Speed: 264.36 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 256.93 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[28] Batch [2350] Speed: 256.93 samples/sec Train-top_k_accuracy_5=0.746953 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 258.38 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[28] Batch [2400] Speed: 258.38 samples/sec Train-top_k_accuracy_5=0.736250 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 264.88 samples/sec Train-accuracy=0.500156 | |
| INFO:root:Epoch[28] Batch [2450] Speed: 264.88 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 251.33 samples/sec Train-accuracy=0.500625 | |
| INFO:root:Epoch[28] Batch [2500] Speed: 251.33 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 256.66 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[28] Batch [2550] Speed: 256.66 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 263.84 samples/sec Train-accuracy=0.493750 | |
| INFO:root:Epoch[28] Batch [2600] Speed: 263.84 samples/sec Train-top_k_accuracy_5=0.734844 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 265.05 samples/sec Train-accuracy=0.498750 | |
| INFO:root:Epoch[28] Batch [2650] Speed: 265.05 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 267.51 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[28] Batch [2700] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 267.85 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[28] Batch [2750] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.749453 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 260.66 samples/sec Train-accuracy=0.507031 | |
| INFO:root:Epoch[28] Batch [2800] Speed: 260.66 samples/sec Train-top_k_accuracy_5=0.752734 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 262.51 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[28] Batch [2850] Speed: 262.51 samples/sec Train-top_k_accuracy_5=0.745000 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 258.30 samples/sec Train-accuracy=0.499219 | |
| INFO:root:Epoch[28] Batch [2900] Speed: 258.30 samples/sec Train-top_k_accuracy_5=0.742344 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 259.67 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[28] Batch [2950] Speed: 259.67 samples/sec Train-top_k_accuracy_5=0.742031 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 262.93 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[28] Batch [3000] Speed: 262.93 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 268.93 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[28] Batch [3050] Speed: 268.93 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 259.85 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[28] Batch [3100] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 256.31 samples/sec Train-accuracy=0.494219 | |
| INFO:root:Epoch[28] Batch [3150] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 251.29 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[28] Batch [3200] Speed: 251.29 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 245.07 samples/sec Train-accuracy=0.497188 | |
| INFO:root:Epoch[28] Batch [3250] Speed: 245.07 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 254.56 samples/sec Train-accuracy=0.496719 | |
| INFO:root:Epoch[28] Batch [3300] Speed: 254.56 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 250.95 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[28] Batch [3350] Speed: 250.95 samples/sec Train-top_k_accuracy_5=0.739922 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 256.31 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[28] Batch [3400] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 248.98 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[28] Batch [3450] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.742266 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 243.16 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[28] Batch [3500] Speed: 243.16 samples/sec Train-top_k_accuracy_5=0.743594 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 244.91 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[28] Batch [3550] Speed: 244.91 samples/sec Train-top_k_accuracy_5=0.751172 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 258.79 samples/sec Train-accuracy=0.507344 | |
| INFO:root:Epoch[28] Batch [3600] Speed: 258.79 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 262.66 samples/sec Train-accuracy=0.505781 | |
| INFO:root:Epoch[28] Batch [3650] Speed: 262.66 samples/sec Train-top_k_accuracy_5=0.746016 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 262.13 samples/sec Train-accuracy=0.508203 | |
| INFO:root:Epoch[28] Batch [3700] Speed: 262.13 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 267.72 samples/sec Train-accuracy=0.502578 | |
| INFO:root:Epoch[28] Batch [3750] Speed: 267.72 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 254.55 samples/sec Train-accuracy=0.495859 | |
| INFO:root:Epoch[28] Batch [3800] Speed: 254.55 samples/sec Train-top_k_accuracy_5=0.738828 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 253.47 samples/sec Train-accuracy=0.504141 | |
| INFO:root:Epoch[28] Batch [3850] Speed: 253.47 samples/sec Train-top_k_accuracy_5=0.748672 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 256.01 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[28] Batch [3900] Speed: 256.01 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 270.66 samples/sec Train-accuracy=0.499453 | |
| INFO:root:Epoch[28] Batch [3950] Speed: 270.66 samples/sec Train-top_k_accuracy_5=0.740625 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 263.83 samples/sec Train-accuracy=0.489531 | |
| INFO:root:Epoch[28] Batch [4000] Speed: 263.83 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 257.03 samples/sec Train-accuracy=0.512031 | |
| INFO:root:Epoch[28] Batch [4050] Speed: 257.03 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 261.86 samples/sec Train-accuracy=0.506719 | |
| INFO:root:Epoch[28] Batch [4100] Speed: 261.86 samples/sec Train-top_k_accuracy_5=0.742188 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 267.99 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[28] Batch [4150] Speed: 267.99 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 271.80 samples/sec Train-accuracy=0.501328 | |
| INFO:root:Epoch[28] Batch [4200] Speed: 271.80 samples/sec Train-top_k_accuracy_5=0.743281 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 260.18 samples/sec Train-accuracy=0.507812 | |
| INFO:root:Epoch[28] Batch [4250] Speed: 260.18 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 273.09 samples/sec Train-accuracy=0.502969 | |
| INFO:root:Epoch[28] Batch [4300] Speed: 273.09 samples/sec Train-top_k_accuracy_5=0.745391 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 270.27 samples/sec Train-accuracy=0.504062 | |
| INFO:root:Epoch[28] Batch [4350] Speed: 270.27 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 265.08 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[28] Batch [4400] Speed: 265.08 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 269.54 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[28] Batch [4450] Speed: 269.54 samples/sec Train-top_k_accuracy_5=0.739688 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 278.44 samples/sec Train-accuracy=0.497266 | |
| INFO:root:Epoch[28] Batch [4500] Speed: 278.44 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 270.92 samples/sec Train-accuracy=0.507578 | |
| INFO:root:Epoch[28] Batch [4550] Speed: 270.92 samples/sec Train-top_k_accuracy_5=0.749766 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 270.14 samples/sec Train-accuracy=0.509687 | |
| INFO:root:Epoch[28] Batch [4600] Speed: 270.14 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 271.08 samples/sec Train-accuracy=0.493906 | |
| INFO:root:Epoch[28] Batch [4650] Speed: 271.08 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 274.84 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[28] Batch [4700] Speed: 274.84 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 268.81 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[28] Batch [4750] Speed: 268.81 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 269.78 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[28] Batch [4800] Speed: 269.78 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 268.77 samples/sec Train-accuracy=0.505547 | |
| INFO:root:Epoch[28] Batch [4850] Speed: 268.77 samples/sec Train-top_k_accuracy_5=0.742969 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 269.58 samples/sec Train-accuracy=0.508125 | |
| INFO:root:Epoch[28] Batch [4900] Speed: 269.58 samples/sec Train-top_k_accuracy_5=0.743047 | |
| INFO:root:Epoch[28] Batch [4950] Speed: 271.78 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[28] Batch [4950] Speed: 271.78 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[28] Batch [5000] Speed: 259.41 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[28] Batch [5000] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.741719 | |
| INFO:root:Epoch[28] Resetting Data Iterator | |
| INFO:root:Epoch[28] Time cost=4914.418 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0029.params" | |
| INFO:root:Epoch[28] Validation-accuracy=0.552934 | |
| INFO:root:Epoch[28] Validation-top_k_accuracy_5=0.801479 | |
| INFO:root:Epoch[29] Batch [50] Speed: 284.27 samples/sec Train-accuracy=0.508594 | |
| INFO:root:Epoch[29] Batch [50] Speed: 284.27 samples/sec Train-top_k_accuracy_5=0.751641 | |
| INFO:root:Epoch[29] Batch [100] Speed: 279.10 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[29] Batch [100] Speed: 279.10 samples/sec Train-top_k_accuracy_5=0.740156 | |
| INFO:root:Epoch[29] Batch [150] Speed: 279.09 samples/sec Train-accuracy=0.498047 | |
| INFO:root:Epoch[29] Batch [150] Speed: 279.09 samples/sec Train-top_k_accuracy_5=0.737734 | |
| INFO:root:Epoch[29] Batch [200] Speed: 276.84 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[29] Batch [200] Speed: 276.84 samples/sec Train-top_k_accuracy_5=0.749844 | |
| INFO:root:Epoch[29] Batch [250] Speed: 276.30 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[29] Batch [250] Speed: 276.30 samples/sec Train-top_k_accuracy_5=0.750859 | |
| INFO:root:Epoch[29] Batch [300] Speed: 276.84 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[29] Batch [300] Speed: 276.84 samples/sec Train-top_k_accuracy_5=0.749062 | |
| INFO:root:Epoch[29] Batch [350] Speed: 277.19 samples/sec Train-accuracy=0.511875 | |
| INFO:root:Epoch[29] Batch [350] Speed: 277.19 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[29] Batch [400] Speed: 279.51 samples/sec Train-accuracy=0.503594 | |
| INFO:root:Epoch[29] Batch [400] Speed: 279.51 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[29] Batch [450] Speed: 279.31 samples/sec Train-accuracy=0.508516 | |
| INFO:root:Epoch[29] Batch [450] Speed: 279.31 samples/sec Train-top_k_accuracy_5=0.745234 | |
| INFO:root:Epoch[29] Batch [500] Speed: 277.47 samples/sec Train-accuracy=0.506250 | |
| INFO:root:Epoch[29] Batch [500] Speed: 277.47 samples/sec Train-top_k_accuracy_5=0.748437 | |
| INFO:root:Epoch[29] Batch [550] Speed: 276.59 samples/sec Train-accuracy=0.497969 | |
| INFO:root:Epoch[29] Batch [550] Speed: 276.59 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[29] Batch [600] Speed: 276.83 samples/sec Train-accuracy=0.494844 | |
| INFO:root:Epoch[29] Batch [600] Speed: 276.83 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[29] Batch [650] Speed: 275.90 samples/sec Train-accuracy=0.500469 | |
| INFO:root:Epoch[29] Batch [650] Speed: 275.90 samples/sec Train-top_k_accuracy_5=0.740938 | |
| INFO:root:Epoch[29] Batch [700] Speed: 278.62 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[29] Batch [700] Speed: 278.62 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[29] Batch [750] Speed: 277.97 samples/sec Train-accuracy=0.503984 | |
| INFO:root:Epoch[29] Batch [750] Speed: 277.97 samples/sec Train-top_k_accuracy_5=0.752891 | |
| INFO:root:Epoch[29] Batch [800] Speed: 267.51 samples/sec Train-accuracy=0.493125 | |
| INFO:root:Epoch[29] Batch [800] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.740313 | |
| INFO:root:Epoch[29] Batch [850] Speed: 265.01 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[29] Batch [850] Speed: 265.01 samples/sec Train-top_k_accuracy_5=0.738203 | |
| INFO:root:Epoch[29] Batch [900] Speed: 262.14 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[29] Batch [900] Speed: 262.14 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[29] Batch [950] Speed: 263.08 samples/sec Train-accuracy=0.500000 | |
| INFO:root:Epoch[29] Batch [950] Speed: 263.08 samples/sec Train-top_k_accuracy_5=0.740469 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 271.73 samples/sec Train-accuracy=0.502656 | |
| INFO:root:Epoch[29] Batch [1000] Speed: 271.73 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 271.75 samples/sec Train-accuracy=0.501641 | |
| INFO:root:Epoch[29] Batch [1050] Speed: 271.75 samples/sec Train-top_k_accuracy_5=0.741484 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 264.88 samples/sec Train-accuracy=0.505625 | |
| INFO:root:Epoch[29] Batch [1100] Speed: 264.88 samples/sec Train-top_k_accuracy_5=0.746094 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 265.73 samples/sec Train-accuracy=0.495312 | |
| INFO:root:Epoch[29] Batch [1150] Speed: 265.73 samples/sec Train-top_k_accuracy_5=0.740391 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 259.21 samples/sec Train-accuracy=0.500313 | |
| INFO:root:Epoch[29] Batch [1200] Speed: 259.21 samples/sec Train-top_k_accuracy_5=0.741797 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 275.39 samples/sec Train-accuracy=0.500547 | |
| INFO:root:Epoch[29] Batch [1250] Speed: 275.39 samples/sec Train-top_k_accuracy_5=0.745859 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 273.08 samples/sec Train-accuracy=0.500391 | |
| INFO:root:Epoch[29] Batch [1300] Speed: 273.08 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 264.94 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[29] Batch [1350] Speed: 264.94 samples/sec Train-top_k_accuracy_5=0.746250 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 275.49 samples/sec Train-accuracy=0.503359 | |
| INFO:root:Epoch[29] Batch [1400] Speed: 275.49 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 259.15 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[29] Batch [1450] Speed: 259.15 samples/sec Train-top_k_accuracy_5=0.750625 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 270.71 samples/sec Train-accuracy=0.503906 | |
| INFO:root:Epoch[29] Batch [1500] Speed: 270.71 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 267.97 samples/sec Train-accuracy=0.516328 | |
| INFO:root:Epoch[29] Batch [1550] Speed: 267.97 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 265.77 samples/sec Train-accuracy=0.507266 | |
| INFO:root:Epoch[29] Batch [1600] Speed: 265.77 samples/sec Train-top_k_accuracy_5=0.750781 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 274.64 samples/sec Train-accuracy=0.503281 | |
| INFO:root:Epoch[29] Batch [1650] Speed: 274.64 samples/sec Train-top_k_accuracy_5=0.744922 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 276.65 samples/sec Train-accuracy=0.496172 | |
| INFO:root:Epoch[29] Batch [1700] Speed: 276.65 samples/sec Train-top_k_accuracy_5=0.736094 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 274.25 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[29] Batch [1750] Speed: 274.25 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 278.97 samples/sec Train-accuracy=0.502188 | |
| INFO:root:Epoch[29] Batch [1800] Speed: 278.97 samples/sec Train-top_k_accuracy_5=0.740781 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 264.92 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[29] Batch [1850] Speed: 264.92 samples/sec Train-top_k_accuracy_5=0.744531 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 269.93 samples/sec Train-accuracy=0.506641 | |
| INFO:root:Epoch[29] Batch [1900] Speed: 269.93 samples/sec Train-top_k_accuracy_5=0.747969 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 273.34 samples/sec Train-accuracy=0.504687 | |
| INFO:root:Epoch[29] Batch [1950] Speed: 273.34 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 276.30 samples/sec Train-accuracy=0.498125 | |
| INFO:root:Epoch[29] Batch [2000] Speed: 276.30 samples/sec Train-top_k_accuracy_5=0.750938 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 271.23 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[29] Batch [2050] Speed: 271.23 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 269.42 samples/sec Train-accuracy=0.503828 | |
| INFO:root:Epoch[29] Batch [2100] Speed: 269.42 samples/sec Train-top_k_accuracy_5=0.742656 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 271.03 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[29] Batch [2150] Speed: 271.03 samples/sec Train-top_k_accuracy_5=0.754687 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 276.42 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[29] Batch [2200] Speed: 276.42 samples/sec Train-top_k_accuracy_5=0.748281 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 270.78 samples/sec Train-accuracy=0.503750 | |
| INFO:root:Epoch[29] Batch [2250] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.741875 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 267.22 samples/sec Train-accuracy=0.502812 | |
| INFO:root:Epoch[29] Batch [2300] Speed: 267.22 samples/sec Train-top_k_accuracy_5=0.740000 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 266.42 samples/sec Train-accuracy=0.506016 | |
| INFO:root:Epoch[29] Batch [2350] Speed: 266.42 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 270.21 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[29] Batch [2400] Speed: 270.21 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 258.21 samples/sec Train-accuracy=0.499766 | |
| INFO:root:Epoch[29] Batch [2450] Speed: 258.21 samples/sec Train-top_k_accuracy_5=0.737344 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 267.08 samples/sec Train-accuracy=0.502891 | |
| INFO:root:Epoch[29] Batch [2500] Speed: 267.08 samples/sec Train-top_k_accuracy_5=0.744141 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 250.42 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[29] Batch [2550] Speed: 250.42 samples/sec Train-top_k_accuracy_5=0.742891 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 248.96 samples/sec Train-accuracy=0.496328 | |
| INFO:root:Epoch[29] Batch [2600] Speed: 248.96 samples/sec Train-top_k_accuracy_5=0.738906 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 263.17 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[29] Batch [2650] Speed: 263.17 samples/sec Train-top_k_accuracy_5=0.739062 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 262.61 samples/sec Train-accuracy=0.501172 | |
| INFO:root:Epoch[29] Batch [2700] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.743125 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 243.88 samples/sec Train-accuracy=0.502266 | |
| INFO:root:Epoch[29] Batch [2750] Speed: 243.88 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 274.23 samples/sec Train-accuracy=0.503047 | |
| INFO:root:Epoch[29] Batch [2800] Speed: 274.23 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 275.18 samples/sec Train-accuracy=0.504766 | |
| INFO:root:Epoch[29] Batch [2850] Speed: 275.18 samples/sec Train-top_k_accuracy_5=0.748984 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 264.18 samples/sec Train-accuracy=0.500781 | |
| INFO:root:Epoch[29] Batch [2900] Speed: 264.18 samples/sec Train-top_k_accuracy_5=0.748594 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 253.54 samples/sec Train-accuracy=0.504297 | |
| INFO:root:Epoch[29] Batch [2950] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.744766 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 265.91 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[29] Batch [3000] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 266.54 samples/sec Train-accuracy=0.496641 | |
| INFO:root:Epoch[29] Batch [3050] Speed: 266.54 samples/sec Train-top_k_accuracy_5=0.742578 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 264.09 samples/sec Train-accuracy=0.505703 | |
| INFO:root:Epoch[29] Batch [3100] Speed: 264.09 samples/sec Train-top_k_accuracy_5=0.748359 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 258.27 samples/sec Train-accuracy=0.507656 | |
| INFO:root:Epoch[29] Batch [3150] Speed: 258.27 samples/sec Train-top_k_accuracy_5=0.746406 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 256.28 samples/sec Train-accuracy=0.513047 | |
| INFO:root:Epoch[29] Batch [3200] Speed: 256.28 samples/sec Train-top_k_accuracy_5=0.747422 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 259.47 samples/sec Train-accuracy=0.490703 | |
| INFO:root:Epoch[29] Batch [3250] Speed: 259.47 samples/sec Train-top_k_accuracy_5=0.744375 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 262.06 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[29] Batch [3300] Speed: 262.06 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 264.85 samples/sec Train-accuracy=0.506406 | |
| INFO:root:Epoch[29] Batch [3350] Speed: 264.85 samples/sec Train-top_k_accuracy_5=0.742422 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 259.89 samples/sec Train-accuracy=0.499844 | |
| INFO:root:Epoch[29] Batch [3400] Speed: 259.89 samples/sec Train-top_k_accuracy_5=0.745625 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 265.29 samples/sec Train-accuracy=0.495078 | |
| INFO:root:Epoch[29] Batch [3450] Speed: 265.29 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 263.34 samples/sec Train-accuracy=0.503437 | |
| INFO:root:Epoch[29] Batch [3500] Speed: 263.34 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 271.02 samples/sec Train-accuracy=0.505313 | |
| INFO:root:Epoch[29] Batch [3550] Speed: 271.02 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 266.17 samples/sec Train-accuracy=0.509922 | |
| INFO:root:Epoch[29] Batch [3600] Speed: 266.17 samples/sec Train-top_k_accuracy_5=0.743437 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 260.98 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[29] Batch [3650] Speed: 260.98 samples/sec Train-top_k_accuracy_5=0.747031 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 267.26 samples/sec Train-accuracy=0.505391 | |
| INFO:root:Epoch[29] Batch [3700] Speed: 267.26 samples/sec Train-top_k_accuracy_5=0.744609 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 268.28 samples/sec Train-accuracy=0.507109 | |
| INFO:root:Epoch[29] Batch [3750] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.747578 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 275.62 samples/sec Train-accuracy=0.501016 | |
| INFO:root:Epoch[29] Batch [3800] Speed: 275.62 samples/sec Train-top_k_accuracy_5=0.741953 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 268.39 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[29] Batch [3850] Speed: 268.39 samples/sec Train-top_k_accuracy_5=0.750234 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 267.54 samples/sec Train-accuracy=0.507500 | |
| INFO:root:Epoch[29] Batch [3900] Speed: 267.54 samples/sec Train-top_k_accuracy_5=0.753047 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 269.86 samples/sec Train-accuracy=0.499063 | |
| INFO:root:Epoch[29] Batch [3950] Speed: 269.86 samples/sec Train-top_k_accuracy_5=0.741250 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 265.82 samples/sec Train-accuracy=0.497812 | |
| INFO:root:Epoch[29] Batch [4000] Speed: 265.82 samples/sec Train-top_k_accuracy_5=0.743203 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 257.80 samples/sec Train-accuracy=0.508672 | |
| INFO:root:Epoch[29] Batch [4050] Speed: 257.80 samples/sec Train-top_k_accuracy_5=0.746328 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 277.02 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[29] Batch [4100] Speed: 277.02 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 259.42 samples/sec Train-accuracy=0.515234 | |
| INFO:root:Epoch[29] Batch [4150] Speed: 259.42 samples/sec Train-top_k_accuracy_5=0.754609 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 263.27 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[29] Batch [4200] Speed: 263.27 samples/sec Train-top_k_accuracy_5=0.745703 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 275.00 samples/sec Train-accuracy=0.501484 | |
| INFO:root:Epoch[29] Batch [4250] Speed: 275.00 samples/sec Train-top_k_accuracy_5=0.740859 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 272.36 samples/sec Train-accuracy=0.501953 | |
| INFO:root:Epoch[29] Batch [4300] Speed: 272.36 samples/sec Train-top_k_accuracy_5=0.747109 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 257.72 samples/sec Train-accuracy=0.498516 | |
| INFO:root:Epoch[29] Batch [4350] Speed: 257.72 samples/sec Train-top_k_accuracy_5=0.747500 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 272.69 samples/sec Train-accuracy=0.499922 | |
| INFO:root:Epoch[29] Batch [4400] Speed: 272.69 samples/sec Train-top_k_accuracy_5=0.739766 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 265.10 samples/sec Train-accuracy=0.506563 | |
| INFO:root:Epoch[29] Batch [4450] Speed: 265.10 samples/sec Train-top_k_accuracy_5=0.745078 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 266.71 samples/sec Train-accuracy=0.508437 | |
| INFO:root:Epoch[29] Batch [4500] Speed: 266.71 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 264.50 samples/sec Train-accuracy=0.502734 | |
| INFO:root:Epoch[29] Batch [4550] Speed: 264.50 samples/sec Train-top_k_accuracy_5=0.745547 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 280.42 samples/sec Train-accuracy=0.506797 | |
| INFO:root:Epoch[29] Batch [4600] Speed: 280.42 samples/sec Train-top_k_accuracy_5=0.748203 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 270.46 samples/sec Train-accuracy=0.502500 | |
| INFO:root:Epoch[29] Batch [4650] Speed: 270.46 samples/sec Train-top_k_accuracy_5=0.745156 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 274.03 samples/sec Train-accuracy=0.503125 | |
| INFO:root:Epoch[29] Batch [4700] Speed: 274.03 samples/sec Train-top_k_accuracy_5=0.746641 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 271.50 samples/sec Train-accuracy=0.495391 | |
| INFO:root:Epoch[29] Batch [4750] Speed: 271.50 samples/sec Train-top_k_accuracy_5=0.743672 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 278.69 samples/sec Train-accuracy=0.500703 | |
| INFO:root:Epoch[29] Batch [4800] Speed: 278.69 samples/sec Train-top_k_accuracy_5=0.742812 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 274.27 samples/sec Train-accuracy=0.504531 | |
| INFO:root:Epoch[29] Batch [4850] Speed: 274.27 samples/sec Train-top_k_accuracy_5=0.747344 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 269.78 samples/sec Train-accuracy=0.501875 | |
| INFO:root:Epoch[29] Batch [4900] Speed: 269.78 samples/sec Train-top_k_accuracy_5=0.748828 | |
| INFO:root:Epoch[29] Batch [4950] Speed: 268.31 samples/sec Train-accuracy=0.505234 | |
| INFO:root:Epoch[29] Batch [4950] Speed: 268.31 samples/sec Train-top_k_accuracy_5=0.743516 | |
| INFO:root:Update[150121]: Change learning rate to 1.00000e-02 | |
| INFO:root:Epoch[29] Batch [5000] Speed: 268.57 samples/sec Train-accuracy=0.509766 | |
| INFO:root:Epoch[29] Batch [5000] Speed: 268.57 samples/sec Train-top_k_accuracy_5=0.752500 | |
| INFO:root:Epoch[29] Resetting Data Iterator | |
| INFO:root:Epoch[29] Time cost=4769.429 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0030.params" | |
| INFO:root:Epoch[29] Validation-accuracy=0.598015 | |
| INFO:root:Epoch[29] Validation-top_k_accuracy_5=0.833327 | |
| INFO:root:Epoch[30] Batch [50] Speed: 284.09 samples/sec Train-accuracy=0.533828 | |
| INFO:root:Epoch[30] Batch [50] Speed: 284.09 samples/sec Train-top_k_accuracy_5=0.766250 | |
| INFO:root:Epoch[30] Batch [100] Speed: 279.44 samples/sec Train-accuracy=0.542500 | |
| INFO:root:Epoch[30] Batch [100] Speed: 279.44 samples/sec Train-top_k_accuracy_5=0.770234 | |
| INFO:root:Epoch[30] Batch [150] Speed: 280.05 samples/sec Train-accuracy=0.551719 | |
| INFO:root:Epoch[30] Batch [150] Speed: 280.05 samples/sec Train-top_k_accuracy_5=0.777188 | |
| INFO:root:Epoch[30] Batch [200] Speed: 280.02 samples/sec Train-accuracy=0.558125 | |
| INFO:root:Epoch[30] Batch [200] Speed: 280.02 samples/sec Train-top_k_accuracy_5=0.788594 | |
| INFO:root:Epoch[30] Batch [250] Speed: 277.84 samples/sec Train-accuracy=0.564141 | |
| INFO:root:Epoch[30] Batch [250] Speed: 277.84 samples/sec Train-top_k_accuracy_5=0.788047 | |
| INFO:root:Epoch[30] Batch [300] Speed: 280.17 samples/sec Train-accuracy=0.567656 | |
| INFO:root:Epoch[30] Batch [300] Speed: 280.17 samples/sec Train-top_k_accuracy_5=0.791016 | |
| INFO:root:Epoch[30] Batch [350] Speed: 279.66 samples/sec Train-accuracy=0.570000 | |
| INFO:root:Epoch[30] Batch [350] Speed: 279.66 samples/sec Train-top_k_accuracy_5=0.791328 | |
| INFO:root:Epoch[30] Batch [400] Speed: 279.07 samples/sec Train-accuracy=0.572422 | |
| INFO:root:Epoch[30] Batch [400] Speed: 279.07 samples/sec Train-top_k_accuracy_5=0.803125 | |
| INFO:root:Epoch[30] Batch [450] Speed: 274.49 samples/sec Train-accuracy=0.575625 | |
| INFO:root:Epoch[30] Batch [450] Speed: 274.49 samples/sec Train-top_k_accuracy_5=0.800859 | |
| INFO:root:Epoch[30] Batch [500] Speed: 272.78 samples/sec Train-accuracy=0.582109 | |
| INFO:root:Epoch[30] Batch [500] Speed: 272.78 samples/sec Train-top_k_accuracy_5=0.801641 | |
| INFO:root:Epoch[30] Batch [550] Speed: 271.85 samples/sec Train-accuracy=0.580391 | |
| INFO:root:Epoch[30] Batch [550] Speed: 271.85 samples/sec Train-top_k_accuracy_5=0.801094 | |
| INFO:root:Epoch[30] Batch [600] Speed: 276.86 samples/sec Train-accuracy=0.574453 | |
| INFO:root:Epoch[30] Batch [600] Speed: 276.86 samples/sec Train-top_k_accuracy_5=0.793672 | |
| INFO:root:Epoch[30] Batch [650] Speed: 265.68 samples/sec Train-accuracy=0.586016 | |
| INFO:root:Epoch[30] Batch [650] Speed: 265.68 samples/sec Train-top_k_accuracy_5=0.803203 | |
| INFO:root:Epoch[30] Batch [700] Speed: 266.39 samples/sec Train-accuracy=0.581875 | |
| INFO:root:Epoch[30] Batch [700] Speed: 266.39 samples/sec Train-top_k_accuracy_5=0.800703 | |
| INFO:root:Epoch[30] Batch [750] Speed: 269.72 samples/sec Train-accuracy=0.592266 | |
| INFO:root:Epoch[30] Batch [750] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.807734 | |
| INFO:root:Epoch[30] Batch [800] Speed: 274.35 samples/sec Train-accuracy=0.581406 | |
| INFO:root:Epoch[30] Batch [800] Speed: 274.35 samples/sec Train-top_k_accuracy_5=0.802500 | |
| INFO:root:Epoch[30] Batch [850] Speed: 273.02 samples/sec Train-accuracy=0.585859 | |
| INFO:root:Epoch[30] Batch [850] Speed: 273.02 samples/sec Train-top_k_accuracy_5=0.808359 | |
| INFO:root:Epoch[30] Batch [900] Speed: 268.44 samples/sec Train-accuracy=0.584766 | |
| INFO:root:Epoch[30] Batch [900] Speed: 268.44 samples/sec Train-top_k_accuracy_5=0.809844 | |
| INFO:root:Epoch[30] Batch [950] Speed: 260.40 samples/sec Train-accuracy=0.584219 | |
| INFO:root:Epoch[30] Batch [950] Speed: 260.40 samples/sec Train-top_k_accuracy_5=0.802969 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 270.17 samples/sec Train-accuracy=0.586953 | |
| INFO:root:Epoch[30] Batch [1000] Speed: 270.17 samples/sec Train-top_k_accuracy_5=0.804297 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 252.78 samples/sec Train-accuracy=0.592266 | |
| INFO:root:Epoch[30] Batch [1050] Speed: 252.78 samples/sec Train-top_k_accuracy_5=0.809609 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 269.39 samples/sec Train-accuracy=0.598984 | |
| INFO:root:Epoch[30] Batch [1100] Speed: 269.39 samples/sec Train-top_k_accuracy_5=0.815000 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 263.28 samples/sec Train-accuracy=0.590625 | |
| INFO:root:Epoch[30] Batch [1150] Speed: 263.28 samples/sec Train-top_k_accuracy_5=0.808359 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 262.04 samples/sec Train-accuracy=0.594688 | |
| INFO:root:Epoch[30] Batch [1200] Speed: 262.04 samples/sec Train-top_k_accuracy_5=0.808203 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 266.18 samples/sec Train-accuracy=0.593984 | |
| INFO:root:Epoch[30] Batch [1250] Speed: 266.18 samples/sec Train-top_k_accuracy_5=0.810469 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 264.25 samples/sec Train-accuracy=0.594453 | |
| INFO:root:Epoch[30] Batch [1300] Speed: 264.25 samples/sec Train-top_k_accuracy_5=0.813438 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 268.86 samples/sec Train-accuracy=0.604062 | |
| INFO:root:Epoch[30] Batch [1350] Speed: 268.86 samples/sec Train-top_k_accuracy_5=0.817578 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 267.79 samples/sec Train-accuracy=0.595625 | |
| INFO:root:Epoch[30] Batch [1400] Speed: 267.79 samples/sec Train-top_k_accuracy_5=0.813516 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 274.80 samples/sec Train-accuracy=0.609766 | |
| INFO:root:Epoch[30] Batch [1450] Speed: 274.80 samples/sec Train-top_k_accuracy_5=0.815937 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 272.12 samples/sec Train-accuracy=0.598750 | |
| INFO:root:Epoch[30] Batch [1500] Speed: 272.12 samples/sec Train-top_k_accuracy_5=0.813594 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 271.73 samples/sec Train-accuracy=0.604609 | |
| INFO:root:Epoch[30] Batch [1550] Speed: 271.73 samples/sec Train-top_k_accuracy_5=0.818203 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 266.57 samples/sec Train-accuracy=0.600469 | |
| INFO:root:Epoch[30] Batch [1600] Speed: 266.57 samples/sec Train-top_k_accuracy_5=0.818516 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 254.95 samples/sec Train-accuracy=0.602891 | |
| INFO:root:Epoch[30] Batch [1650] Speed: 254.95 samples/sec Train-top_k_accuracy_5=0.816094 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 267.25 samples/sec Train-accuracy=0.593516 | |
| INFO:root:Epoch[30] Batch [1700] Speed: 267.25 samples/sec Train-top_k_accuracy_5=0.815312 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 265.26 samples/sec Train-accuracy=0.602344 | |
| INFO:root:Epoch[30] Batch [1750] Speed: 265.26 samples/sec Train-top_k_accuracy_5=0.817578 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 267.21 samples/sec Train-accuracy=0.595469 | |
| INFO:root:Epoch[30] Batch [1800] Speed: 267.21 samples/sec Train-top_k_accuracy_5=0.817187 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 275.04 samples/sec Train-accuracy=0.596328 | |
| INFO:root:Epoch[30] Batch [1850] Speed: 275.04 samples/sec Train-top_k_accuracy_5=0.814297 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 272.48 samples/sec Train-accuracy=0.607734 | |
| INFO:root:Epoch[30] Batch [1900] Speed: 272.48 samples/sec Train-top_k_accuracy_5=0.818828 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 267.39 samples/sec Train-accuracy=0.606250 | |
| INFO:root:Epoch[30] Batch [1950] Speed: 267.39 samples/sec Train-top_k_accuracy_5=0.815391 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 274.31 samples/sec Train-accuracy=0.607109 | |
| INFO:root:Epoch[30] Batch [2000] Speed: 274.31 samples/sec Train-top_k_accuracy_5=0.817344 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 276.06 samples/sec Train-accuracy=0.607266 | |
| INFO:root:Epoch[30] Batch [2050] Speed: 276.06 samples/sec Train-top_k_accuracy_5=0.815547 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 271.95 samples/sec Train-accuracy=0.613594 | |
| INFO:root:Epoch[30] Batch [2100] Speed: 271.95 samples/sec Train-top_k_accuracy_5=0.818906 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 255.89 samples/sec Train-accuracy=0.611406 | |
| INFO:root:Epoch[30] Batch [2150] Speed: 255.89 samples/sec Train-top_k_accuracy_5=0.824688 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 257.11 samples/sec Train-accuracy=0.613516 | |
| INFO:root:Epoch[30] Batch [2200] Speed: 257.11 samples/sec Train-top_k_accuracy_5=0.826172 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 255.13 samples/sec Train-accuracy=0.611172 | |
| INFO:root:Epoch[30] Batch [2250] Speed: 255.13 samples/sec Train-top_k_accuracy_5=0.819141 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 268.07 samples/sec Train-accuracy=0.601562 | |
| INFO:root:Epoch[30] Batch [2300] Speed: 268.07 samples/sec Train-top_k_accuracy_5=0.821094 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 251.58 samples/sec Train-accuracy=0.616719 | |
| INFO:root:Epoch[30] Batch [2350] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.823672 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 255.26 samples/sec Train-accuracy=0.600313 | |
| INFO:root:Epoch[30] Batch [2400] Speed: 255.26 samples/sec Train-top_k_accuracy_5=0.815937 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 268.77 samples/sec Train-accuracy=0.605859 | |
| INFO:root:Epoch[30] Batch [2450] Speed: 268.77 samples/sec Train-top_k_accuracy_5=0.818906 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 252.08 samples/sec Train-accuracy=0.604141 | |
| INFO:root:Epoch[30] Batch [2500] Speed: 252.08 samples/sec Train-top_k_accuracy_5=0.822031 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 266.75 samples/sec Train-accuracy=0.603984 | |
| INFO:root:Epoch[30] Batch [2550] Speed: 266.75 samples/sec Train-top_k_accuracy_5=0.816250 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 258.64 samples/sec Train-accuracy=0.615000 | |
| INFO:root:Epoch[30] Batch [2600] Speed: 258.64 samples/sec Train-top_k_accuracy_5=0.823203 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 264.44 samples/sec Train-accuracy=0.616172 | |
| INFO:root:Epoch[30] Batch [2650] Speed: 264.44 samples/sec Train-top_k_accuracy_5=0.822266 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 260.53 samples/sec Train-accuracy=0.605469 | |
| INFO:root:Epoch[30] Batch [2700] Speed: 260.53 samples/sec Train-top_k_accuracy_5=0.821406 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 265.65 samples/sec Train-accuracy=0.615313 | |
| INFO:root:Epoch[30] Batch [2750] Speed: 265.65 samples/sec Train-top_k_accuracy_5=0.829844 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 250.81 samples/sec Train-accuracy=0.610703 | |
| INFO:root:Epoch[30] Batch [2800] Speed: 250.81 samples/sec Train-top_k_accuracy_5=0.823125 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 255.79 samples/sec Train-accuracy=0.618359 | |
| INFO:root:Epoch[30] Batch [2850] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.828750 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 258.47 samples/sec Train-accuracy=0.615156 | |
| INFO:root:Epoch[30] Batch [2900] Speed: 258.47 samples/sec Train-top_k_accuracy_5=0.829844 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 262.84 samples/sec Train-accuracy=0.612969 | |
| INFO:root:Epoch[30] Batch [2950] Speed: 262.84 samples/sec Train-top_k_accuracy_5=0.825703 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 253.36 samples/sec Train-accuracy=0.617188 | |
| INFO:root:Epoch[30] Batch [3000] Speed: 253.36 samples/sec Train-top_k_accuracy_5=0.829063 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 252.11 samples/sec Train-accuracy=0.618516 | |
| INFO:root:Epoch[30] Batch [3050] Speed: 252.11 samples/sec Train-top_k_accuracy_5=0.824844 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 255.84 samples/sec Train-accuracy=0.615469 | |
| INFO:root:Epoch[30] Batch [3100] Speed: 255.84 samples/sec Train-top_k_accuracy_5=0.827422 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 264.32 samples/sec Train-accuracy=0.615625 | |
| INFO:root:Epoch[30] Batch [3150] Speed: 264.32 samples/sec Train-top_k_accuracy_5=0.822969 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 263.16 samples/sec Train-accuracy=0.626797 | |
| INFO:root:Epoch[30] Batch [3200] Speed: 263.16 samples/sec Train-top_k_accuracy_5=0.834844 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 253.65 samples/sec Train-accuracy=0.610156 | |
| INFO:root:Epoch[30] Batch [3250] Speed: 253.65 samples/sec Train-top_k_accuracy_5=0.824766 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 261.10 samples/sec Train-accuracy=0.615313 | |
| INFO:root:Epoch[30] Batch [3300] Speed: 261.10 samples/sec Train-top_k_accuracy_5=0.829922 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 267.66 samples/sec Train-accuracy=0.616875 | |
| INFO:root:Epoch[30] Batch [3350] Speed: 267.66 samples/sec Train-top_k_accuracy_5=0.830859 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 251.44 samples/sec Train-accuracy=0.625234 | |
| INFO:root:Epoch[30] Batch [3400] Speed: 251.44 samples/sec Train-top_k_accuracy_5=0.832031 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 262.28 samples/sec Train-accuracy=0.615469 | |
| INFO:root:Epoch[30] Batch [3450] Speed: 262.28 samples/sec Train-top_k_accuracy_5=0.826719 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 257.54 samples/sec Train-accuracy=0.626953 | |
| INFO:root:Epoch[30] Batch [3500] Speed: 257.54 samples/sec Train-top_k_accuracy_5=0.832422 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 244.64 samples/sec Train-accuracy=0.621484 | |
| INFO:root:Epoch[30] Batch [3550] Speed: 244.64 samples/sec Train-top_k_accuracy_5=0.834844 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 245.08 samples/sec Train-accuracy=0.627422 | |
| INFO:root:Epoch[30] Batch [3600] Speed: 245.08 samples/sec Train-top_k_accuracy_5=0.833047 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 258.36 samples/sec Train-accuracy=0.623359 | |
| INFO:root:Epoch[30] Batch [3650] Speed: 258.36 samples/sec Train-top_k_accuracy_5=0.830313 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 258.43 samples/sec Train-accuracy=0.622578 | |
| INFO:root:Epoch[30] Batch [3700] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.834844 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 262.02 samples/sec Train-accuracy=0.627891 | |
| INFO:root:Epoch[30] Batch [3750] Speed: 262.02 samples/sec Train-top_k_accuracy_5=0.827656 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 258.90 samples/sec Train-accuracy=0.623672 | |
| INFO:root:Epoch[30] Batch [3800] Speed: 258.90 samples/sec Train-top_k_accuracy_5=0.830781 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 259.92 samples/sec Train-accuracy=0.628281 | |
| INFO:root:Epoch[30] Batch [3850] Speed: 259.92 samples/sec Train-top_k_accuracy_5=0.834922 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 268.83 samples/sec Train-accuracy=0.627188 | |
| INFO:root:Epoch[30] Batch [3900] Speed: 268.83 samples/sec Train-top_k_accuracy_5=0.837656 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 270.67 samples/sec Train-accuracy=0.620859 | |
| INFO:root:Epoch[30] Batch [3950] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.830703 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 278.91 samples/sec Train-accuracy=0.621328 | |
| INFO:root:Epoch[30] Batch [4000] Speed: 278.91 samples/sec Train-top_k_accuracy_5=0.830625 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 262.59 samples/sec Train-accuracy=0.628984 | |
| INFO:root:Epoch[30] Batch [4050] Speed: 262.59 samples/sec Train-top_k_accuracy_5=0.838594 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 252.95 samples/sec Train-accuracy=0.631172 | |
| INFO:root:Epoch[30] Batch [4100] Speed: 252.95 samples/sec Train-top_k_accuracy_5=0.835781 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 260.22 samples/sec Train-accuracy=0.636250 | |
| INFO:root:Epoch[30] Batch [4150] Speed: 260.22 samples/sec Train-top_k_accuracy_5=0.839375 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 268.03 samples/sec Train-accuracy=0.630234 | |
| INFO:root:Epoch[30] Batch [4200] Speed: 268.03 samples/sec Train-top_k_accuracy_5=0.832969 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 270.65 samples/sec Train-accuracy=0.637344 | |
| INFO:root:Epoch[30] Batch [4250] Speed: 270.65 samples/sec Train-top_k_accuracy_5=0.836172 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 271.94 samples/sec Train-accuracy=0.638906 | |
| INFO:root:Epoch[30] Batch [4300] Speed: 271.94 samples/sec Train-top_k_accuracy_5=0.841250 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 257.63 samples/sec Train-accuracy=0.630781 | |
| INFO:root:Epoch[30] Batch [4350] Speed: 257.63 samples/sec Train-top_k_accuracy_5=0.837578 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 263.30 samples/sec Train-accuracy=0.633672 | |
| INFO:root:Epoch[30] Batch [4400] Speed: 263.30 samples/sec Train-top_k_accuracy_5=0.842734 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 271.03 samples/sec Train-accuracy=0.635000 | |
| INFO:root:Epoch[30] Batch [4450] Speed: 271.03 samples/sec Train-top_k_accuracy_5=0.836172 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 269.39 samples/sec Train-accuracy=0.634531 | |
| INFO:root:Epoch[30] Batch [4500] Speed: 269.39 samples/sec Train-top_k_accuracy_5=0.837891 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 258.50 samples/sec Train-accuracy=0.629844 | |
| INFO:root:Epoch[30] Batch [4550] Speed: 258.50 samples/sec Train-top_k_accuracy_5=0.843281 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 267.45 samples/sec Train-accuracy=0.648047 | |
| INFO:root:Epoch[30] Batch [4600] Speed: 267.45 samples/sec Train-top_k_accuracy_5=0.847812 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 272.07 samples/sec Train-accuracy=0.636641 | |
| INFO:root:Epoch[30] Batch [4650] Speed: 272.07 samples/sec Train-top_k_accuracy_5=0.840313 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 268.70 samples/sec Train-accuracy=0.639922 | |
| INFO:root:Epoch[30] Batch [4700] Speed: 268.70 samples/sec Train-top_k_accuracy_5=0.842656 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 276.95 samples/sec Train-accuracy=0.633906 | |
| INFO:root:Epoch[30] Batch [4750] Speed: 276.95 samples/sec Train-top_k_accuracy_5=0.837891 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 264.93 samples/sec Train-accuracy=0.647031 | |
| INFO:root:Epoch[30] Batch [4800] Speed: 264.93 samples/sec Train-top_k_accuracy_5=0.845547 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 258.19 samples/sec Train-accuracy=0.647578 | |
| INFO:root:Epoch[30] Batch [4850] Speed: 258.19 samples/sec Train-top_k_accuracy_5=0.844141 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 245.42 samples/sec Train-accuracy=0.642891 | |
| INFO:root:Epoch[30] Batch [4900] Speed: 245.42 samples/sec Train-top_k_accuracy_5=0.843906 | |
| INFO:root:Epoch[30] Batch [4950] Speed: 252.20 samples/sec Train-accuracy=0.641328 | |
| INFO:root:Epoch[30] Batch [4950] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.844297 | |
| INFO:root:Epoch[30] Batch [5000] Speed: 257.25 samples/sec Train-accuracy=0.636328 | |
| INFO:root:Epoch[30] Batch [5000] Speed: 257.25 samples/sec Train-top_k_accuracy_5=0.844531 | |
| INFO:root:Epoch[30] Resetting Data Iterator | |
| INFO:root:Epoch[30] Time cost=4840.524 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0031.params" | |
| INFO:root:Epoch[30] Validation-accuracy=0.684511 | |
| INFO:root:Epoch[30] Validation-top_k_accuracy_5=0.886679 | |
| INFO:root:Epoch[31] Batch [50] Speed: 283.57 samples/sec Train-accuracy=0.628047 | |
| INFO:root:Epoch[31] Batch [50] Speed: 283.57 samples/sec Train-top_k_accuracy_5=0.835078 | |
| INFO:root:Epoch[31] Batch [100] Speed: 279.41 samples/sec Train-accuracy=0.623516 | |
| INFO:root:Epoch[31] Batch [100] Speed: 279.41 samples/sec Train-top_k_accuracy_5=0.829609 | |
| INFO:root:Epoch[31] Batch [150] Speed: 272.53 samples/sec Train-accuracy=0.613906 | |
| INFO:root:Epoch[31] Batch [150] Speed: 272.53 samples/sec Train-top_k_accuracy_5=0.827266 | |
| INFO:root:Epoch[31] Batch [200] Speed: 247.57 samples/sec Train-accuracy=0.618281 | |
| INFO:root:Epoch[31] Batch [200] Speed: 247.57 samples/sec Train-top_k_accuracy_5=0.829531 | |
| INFO:root:Epoch[31] Batch [250] Speed: 251.07 samples/sec Train-accuracy=0.616016 | |
| INFO:root:Epoch[31] Batch [250] Speed: 251.07 samples/sec Train-top_k_accuracy_5=0.832812 | |
| INFO:root:Epoch[31] Batch [300] Speed: 248.62 samples/sec Train-accuracy=0.623281 | |
| INFO:root:Epoch[31] Batch [300] Speed: 248.62 samples/sec Train-top_k_accuracy_5=0.835234 | |
| INFO:root:Epoch[31] Batch [350] Speed: 259.62 samples/sec Train-accuracy=0.623984 | |
| INFO:root:Epoch[31] Batch [350] Speed: 259.62 samples/sec Train-top_k_accuracy_5=0.830781 | |
| INFO:root:Epoch[31] Batch [400] Speed: 263.32 samples/sec Train-accuracy=0.624609 | |
| INFO:root:Epoch[31] Batch [400] Speed: 263.32 samples/sec Train-top_k_accuracy_5=0.835938 | |
| INFO:root:Epoch[31] Batch [450] Speed: 271.06 samples/sec Train-accuracy=0.623984 | |
| INFO:root:Epoch[31] Batch [450] Speed: 271.06 samples/sec Train-top_k_accuracy_5=0.832031 | |
| INFO:root:Epoch[31] Batch [500] Speed: 262.42 samples/sec Train-accuracy=0.625078 | |
| INFO:root:Epoch[31] Batch [500] Speed: 262.42 samples/sec Train-top_k_accuracy_5=0.834766 | |
| INFO:root:Epoch[31] Batch [550] Speed: 255.30 samples/sec Train-accuracy=0.627812 | |
| INFO:root:Epoch[31] Batch [550] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.833125 | |
| INFO:root:Epoch[31] Batch [600] Speed: 258.65 samples/sec Train-accuracy=0.619531 | |
| INFO:root:Epoch[31] Batch [600] Speed: 258.65 samples/sec Train-top_k_accuracy_5=0.827969 | |
| INFO:root:Epoch[31] Batch [650] Speed: 259.00 samples/sec Train-accuracy=0.626719 | |
| INFO:root:Epoch[31] Batch [650] Speed: 259.00 samples/sec Train-top_k_accuracy_5=0.833750 | |
| INFO:root:Epoch[31] Batch [700] Speed: 264.37 samples/sec Train-accuracy=0.624687 | |
| INFO:root:Epoch[31] Batch [700] Speed: 264.37 samples/sec Train-top_k_accuracy_5=0.830313 | |
| INFO:root:Epoch[31] Batch [750] Speed: 261.72 samples/sec Train-accuracy=0.622266 | |
| INFO:root:Epoch[31] Batch [750] Speed: 261.72 samples/sec Train-top_k_accuracy_5=0.834609 | |
| INFO:root:Epoch[31] Batch [800] Speed: 269.28 samples/sec Train-accuracy=0.620703 | |
| INFO:root:Epoch[31] Batch [800] Speed: 269.28 samples/sec Train-top_k_accuracy_5=0.832578 | |
| INFO:root:Epoch[31] Batch [850] Speed: 272.35 samples/sec Train-accuracy=0.621406 | |
| INFO:root:Epoch[31] Batch [850] Speed: 272.35 samples/sec Train-top_k_accuracy_5=0.832656 | |
| INFO:root:Epoch[31] Batch [900] Speed: 268.86 samples/sec Train-accuracy=0.626953 | |
| INFO:root:Epoch[31] Batch [900] Speed: 268.86 samples/sec Train-top_k_accuracy_5=0.836172 | |
| INFO:root:Epoch[31] Batch [950] Speed: 262.34 samples/sec Train-accuracy=0.625547 | |
| INFO:root:Epoch[31] Batch [950] Speed: 262.34 samples/sec Train-top_k_accuracy_5=0.835313 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 266.18 samples/sec Train-accuracy=0.620859 | |
| INFO:root:Epoch[31] Batch [1000] Speed: 266.18 samples/sec Train-top_k_accuracy_5=0.831094 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 261.15 samples/sec Train-accuracy=0.624141 | |
| INFO:root:Epoch[31] Batch [1050] Speed: 261.15 samples/sec Train-top_k_accuracy_5=0.829609 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 257.12 samples/sec Train-accuracy=0.628672 | |
| INFO:root:Epoch[31] Batch [1100] Speed: 257.12 samples/sec Train-top_k_accuracy_5=0.838437 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 269.85 samples/sec Train-accuracy=0.623047 | |
| INFO:root:Epoch[31] Batch [1150] Speed: 269.85 samples/sec Train-top_k_accuracy_5=0.830937 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 264.77 samples/sec Train-accuracy=0.621484 | |
| INFO:root:Epoch[31] Batch [1200] Speed: 264.77 samples/sec Train-top_k_accuracy_5=0.829063 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 272.08 samples/sec Train-accuracy=0.617812 | |
| INFO:root:Epoch[31] Batch [1250] Speed: 272.08 samples/sec Train-top_k_accuracy_5=0.827812 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 270.98 samples/sec Train-accuracy=0.628750 | |
| INFO:root:Epoch[31] Batch [1300] Speed: 270.98 samples/sec Train-top_k_accuracy_5=0.836016 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 267.24 samples/sec Train-accuracy=0.632344 | |
| INFO:root:Epoch[31] Batch [1350] Speed: 267.24 samples/sec Train-top_k_accuracy_5=0.833438 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 264.38 samples/sec Train-accuracy=0.620938 | |
| INFO:root:Epoch[31] Batch [1400] Speed: 264.38 samples/sec Train-top_k_accuracy_5=0.829375 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 271.09 samples/sec Train-accuracy=0.625938 | |
| INFO:root:Epoch[31] Batch [1450] Speed: 271.09 samples/sec Train-top_k_accuracy_5=0.833984 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 266.42 samples/sec Train-accuracy=0.627969 | |
| INFO:root:Epoch[31] Batch [1500] Speed: 266.42 samples/sec Train-top_k_accuracy_5=0.830625 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 274.66 samples/sec Train-accuracy=0.633906 | |
| INFO:root:Epoch[31] Batch [1550] Speed: 274.66 samples/sec Train-top_k_accuracy_5=0.836328 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 276.14 samples/sec Train-accuracy=0.627812 | |
| INFO:root:Epoch[31] Batch [1600] Speed: 276.14 samples/sec Train-top_k_accuracy_5=0.833594 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 269.46 samples/sec Train-accuracy=0.629297 | |
| INFO:root:Epoch[31] Batch [1650] Speed: 269.46 samples/sec Train-top_k_accuracy_5=0.830937 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 266.11 samples/sec Train-accuracy=0.616641 | |
| INFO:root:Epoch[31] Batch [1700] Speed: 266.11 samples/sec Train-top_k_accuracy_5=0.830859 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 260.22 samples/sec Train-accuracy=0.630781 | |
| INFO:root:Epoch[31] Batch [1750] Speed: 260.22 samples/sec Train-top_k_accuracy_5=0.829531 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 265.24 samples/sec Train-accuracy=0.630781 | |
| INFO:root:Epoch[31] Batch [1800] Speed: 265.24 samples/sec Train-top_k_accuracy_5=0.835938 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 258.94 samples/sec Train-accuracy=0.625078 | |
| INFO:root:Epoch[31] Batch [1850] Speed: 258.94 samples/sec Train-top_k_accuracy_5=0.834219 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 249.95 samples/sec Train-accuracy=0.631328 | |
| INFO:root:Epoch[31] Batch [1900] Speed: 249.95 samples/sec Train-top_k_accuracy_5=0.839453 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 248.31 samples/sec Train-accuracy=0.634844 | |
| INFO:root:Epoch[31] Batch [1950] Speed: 248.31 samples/sec Train-top_k_accuracy_5=0.834219 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 242.45 samples/sec Train-accuracy=0.633750 | |
| INFO:root:Epoch[31] Batch [2000] Speed: 242.45 samples/sec Train-top_k_accuracy_5=0.838828 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 268.08 samples/sec Train-accuracy=0.631875 | |
| INFO:root:Epoch[31] Batch [2050] Speed: 268.08 samples/sec Train-top_k_accuracy_5=0.834922 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 251.01 samples/sec Train-accuracy=0.635156 | |
| INFO:root:Epoch[31] Batch [2100] Speed: 251.01 samples/sec Train-top_k_accuracy_5=0.837500 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 256.65 samples/sec Train-accuracy=0.639922 | |
| INFO:root:Epoch[31] Batch [2150] Speed: 256.65 samples/sec Train-top_k_accuracy_5=0.845859 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 253.11 samples/sec Train-accuracy=0.635312 | |
| INFO:root:Epoch[31] Batch [2200] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.838750 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 253.80 samples/sec Train-accuracy=0.631172 | |
| INFO:root:Epoch[31] Batch [2250] Speed: 253.80 samples/sec Train-top_k_accuracy_5=0.830703 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 263.17 samples/sec Train-accuracy=0.627031 | |
| INFO:root:Epoch[31] Batch [2300] Speed: 263.17 samples/sec Train-top_k_accuracy_5=0.836641 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 253.93 samples/sec Train-accuracy=0.635469 | |
| INFO:root:Epoch[31] Batch [2350] Speed: 253.93 samples/sec Train-top_k_accuracy_5=0.843047 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 266.58 samples/sec Train-accuracy=0.631797 | |
| INFO:root:Epoch[31] Batch [2400] Speed: 266.58 samples/sec Train-top_k_accuracy_5=0.833438 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 252.20 samples/sec Train-accuracy=0.626797 | |
| INFO:root:Epoch[31] Batch [2450] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.829219 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 252.68 samples/sec Train-accuracy=0.634609 | |
| INFO:root:Epoch[31] Batch [2500] Speed: 252.68 samples/sec Train-top_k_accuracy_5=0.840000 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 254.54 samples/sec Train-accuracy=0.630156 | |
| INFO:root:Epoch[31] Batch [2550] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.839844 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 249.59 samples/sec Train-accuracy=0.626016 | |
| INFO:root:Epoch[31] Batch [2600] Speed: 249.59 samples/sec Train-top_k_accuracy_5=0.834922 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 260.03 samples/sec Train-accuracy=0.636563 | |
| INFO:root:Epoch[31] Batch [2650] Speed: 260.03 samples/sec Train-top_k_accuracy_5=0.836875 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 252.93 samples/sec Train-accuracy=0.632109 | |
| INFO:root:Epoch[31] Batch [2700] Speed: 252.93 samples/sec Train-top_k_accuracy_5=0.838750 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 254.05 samples/sec Train-accuracy=0.637500 | |
| INFO:root:Epoch[31] Batch [2750] Speed: 254.05 samples/sec Train-top_k_accuracy_5=0.845938 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 261.57 samples/sec Train-accuracy=0.633828 | |
| INFO:root:Epoch[31] Batch [2800] Speed: 261.57 samples/sec Train-top_k_accuracy_5=0.835313 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 258.37 samples/sec Train-accuracy=0.632344 | |
| INFO:root:Epoch[31] Batch [2850] Speed: 258.37 samples/sec Train-top_k_accuracy_5=0.839531 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 247.64 samples/sec Train-accuracy=0.638281 | |
| INFO:root:Epoch[31] Batch [2900] Speed: 247.64 samples/sec Train-top_k_accuracy_5=0.840469 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 246.60 samples/sec Train-accuracy=0.632578 | |
| INFO:root:Epoch[31] Batch [2950] Speed: 246.60 samples/sec Train-top_k_accuracy_5=0.834766 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 261.29 samples/sec Train-accuracy=0.635156 | |
| INFO:root:Epoch[31] Batch [3000] Speed: 261.29 samples/sec Train-top_k_accuracy_5=0.843516 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 262.87 samples/sec Train-accuracy=0.638125 | |
| INFO:root:Epoch[31] Batch [3050] Speed: 262.87 samples/sec Train-top_k_accuracy_5=0.842031 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 263.25 samples/sec Train-accuracy=0.640703 | |
| INFO:root:Epoch[31] Batch [3100] Speed: 263.25 samples/sec Train-top_k_accuracy_5=0.844766 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 264.85 samples/sec Train-accuracy=0.631172 | |
| INFO:root:Epoch[31] Batch [3150] Speed: 264.85 samples/sec Train-top_k_accuracy_5=0.845625 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 269.72 samples/sec Train-accuracy=0.642188 | |
| INFO:root:Epoch[31] Batch [3200] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.845469 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 271.80 samples/sec Train-accuracy=0.630938 | |
| INFO:root:Epoch[31] Batch [3250] Speed: 271.80 samples/sec Train-top_k_accuracy_5=0.843750 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 268.36 samples/sec Train-accuracy=0.631406 | |
| INFO:root:Epoch[31] Batch [3300] Speed: 268.36 samples/sec Train-top_k_accuracy_5=0.838281 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 273.55 samples/sec Train-accuracy=0.634922 | |
| INFO:root:Epoch[31] Batch [3350] Speed: 273.55 samples/sec Train-top_k_accuracy_5=0.837266 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 275.72 samples/sec Train-accuracy=0.640078 | |
| INFO:root:Epoch[31] Batch [3400] Speed: 275.72 samples/sec Train-top_k_accuracy_5=0.845625 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 266.59 samples/sec Train-accuracy=0.631250 | |
| INFO:root:Epoch[31] Batch [3450] Speed: 266.59 samples/sec Train-top_k_accuracy_5=0.840703 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 260.60 samples/sec Train-accuracy=0.647578 | |
| INFO:root:Epoch[31] Batch [3500] Speed: 260.60 samples/sec Train-top_k_accuracy_5=0.846172 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 264.01 samples/sec Train-accuracy=0.640391 | |
| INFO:root:Epoch[31] Batch [3550] Speed: 264.01 samples/sec Train-top_k_accuracy_5=0.844141 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 252.46 samples/sec Train-accuracy=0.636719 | |
| INFO:root:Epoch[31] Batch [3600] Speed: 252.46 samples/sec Train-top_k_accuracy_5=0.844688 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 264.17 samples/sec Train-accuracy=0.639062 | |
| INFO:root:Epoch[31] Batch [3650] Speed: 264.17 samples/sec Train-top_k_accuracy_5=0.846719 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 247.02 samples/sec Train-accuracy=0.645703 | |
| INFO:root:Epoch[31] Batch [3700] Speed: 247.02 samples/sec Train-top_k_accuracy_5=0.844219 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 259.82 samples/sec Train-accuracy=0.643750 | |
| INFO:root:Epoch[31] Batch [3750] Speed: 259.82 samples/sec Train-top_k_accuracy_5=0.842812 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 269.11 samples/sec Train-accuracy=0.645781 | |
| INFO:root:Epoch[31] Batch [3800] Speed: 269.11 samples/sec Train-top_k_accuracy_5=0.843047 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 274.35 samples/sec Train-accuracy=0.647734 | |
| INFO:root:Epoch[31] Batch [3850] Speed: 274.35 samples/sec Train-top_k_accuracy_5=0.845625 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 255.21 samples/sec Train-accuracy=0.645938 | |
| INFO:root:Epoch[31] Batch [3900] Speed: 255.21 samples/sec Train-top_k_accuracy_5=0.848750 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 262.70 samples/sec Train-accuracy=0.639219 | |
| INFO:root:Epoch[31] Batch [3950] Speed: 262.70 samples/sec Train-top_k_accuracy_5=0.838984 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 258.94 samples/sec Train-accuracy=0.635938 | |
| INFO:root:Epoch[31] Batch [4000] Speed: 258.94 samples/sec Train-top_k_accuracy_5=0.844688 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 266.46 samples/sec Train-accuracy=0.648594 | |
| INFO:root:Epoch[31] Batch [4050] Speed: 266.46 samples/sec Train-top_k_accuracy_5=0.849609 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 278.78 samples/sec Train-accuracy=0.639297 | |
| INFO:root:Epoch[31] Batch [4100] Speed: 278.78 samples/sec Train-top_k_accuracy_5=0.844688 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 268.55 samples/sec Train-accuracy=0.645703 | |
| INFO:root:Epoch[31] Batch [4150] Speed: 268.55 samples/sec Train-top_k_accuracy_5=0.846328 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 265.47 samples/sec Train-accuracy=0.643516 | |
| INFO:root:Epoch[31] Batch [4200] Speed: 265.47 samples/sec Train-top_k_accuracy_5=0.845156 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 259.23 samples/sec Train-accuracy=0.646172 | |
| INFO:root:Epoch[31] Batch [4250] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.845859 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 260.44 samples/sec Train-accuracy=0.648047 | |
| INFO:root:Epoch[31] Batch [4300] Speed: 260.44 samples/sec Train-top_k_accuracy_5=0.849531 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 256.60 samples/sec Train-accuracy=0.647031 | |
| INFO:root:Epoch[31] Batch [4350] Speed: 256.60 samples/sec Train-top_k_accuracy_5=0.847187 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 246.16 samples/sec Train-accuracy=0.647266 | |
| INFO:root:Epoch[31] Batch [4400] Speed: 246.16 samples/sec Train-top_k_accuracy_5=0.852187 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 263.03 samples/sec Train-accuracy=0.649531 | |
| INFO:root:Epoch[31] Batch [4450] Speed: 263.03 samples/sec Train-top_k_accuracy_5=0.850156 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 259.83 samples/sec Train-accuracy=0.652188 | |
| INFO:root:Epoch[31] Batch [4500] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.848594 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 261.35 samples/sec Train-accuracy=0.643125 | |
| INFO:root:Epoch[31] Batch [4550] Speed: 261.35 samples/sec Train-top_k_accuracy_5=0.848359 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 261.74 samples/sec Train-accuracy=0.653125 | |
| INFO:root:Epoch[31] Batch [4600] Speed: 261.74 samples/sec Train-top_k_accuracy_5=0.852969 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 259.11 samples/sec Train-accuracy=0.652031 | |
| INFO:root:Epoch[31] Batch [4650] Speed: 259.11 samples/sec Train-top_k_accuracy_5=0.848203 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 262.66 samples/sec Train-accuracy=0.648828 | |
| INFO:root:Epoch[31] Batch [4700] Speed: 262.66 samples/sec Train-top_k_accuracy_5=0.846016 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 259.48 samples/sec Train-accuracy=0.645859 | |
| INFO:root:Epoch[31] Batch [4750] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.848906 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 258.04 samples/sec Train-accuracy=0.657656 | |
| INFO:root:Epoch[31] Batch [4800] Speed: 258.04 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 252.56 samples/sec Train-accuracy=0.654766 | |
| INFO:root:Epoch[31] Batch [4850] Speed: 252.56 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 247.03 samples/sec Train-accuracy=0.663438 | |
| INFO:root:Epoch[31] Batch [4900] Speed: 247.03 samples/sec Train-top_k_accuracy_5=0.856172 | |
| INFO:root:Epoch[31] Batch [4950] Speed: 261.31 samples/sec Train-accuracy=0.648047 | |
| INFO:root:Epoch[31] Batch [4950] Speed: 261.31 samples/sec Train-top_k_accuracy_5=0.848984 | |
| INFO:root:Epoch[31] Batch [5000] Speed: 262.05 samples/sec Train-accuracy=0.646250 | |
| INFO:root:Epoch[31] Batch [5000] Speed: 262.05 samples/sec Train-top_k_accuracy_5=0.848750 | |
| INFO:root:Epoch[31] Resetting Data Iterator | |
| INFO:root:Epoch[31] Time cost=4901.248 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0032.params" | |
| INFO:root:Epoch[31] Validation-accuracy=0.696110 | |
| INFO:root:Epoch[31] Validation-top_k_accuracy_5=0.893076 | |
| INFO:root:Epoch[32] Batch [50] Speed: 283.20 samples/sec Train-accuracy=0.639141 | |
| INFO:root:Epoch[32] Batch [50] Speed: 283.20 samples/sec Train-top_k_accuracy_5=0.844141 | |
| INFO:root:Epoch[32] Batch [100] Speed: 277.41 samples/sec Train-accuracy=0.631094 | |
| INFO:root:Epoch[32] Batch [100] Speed: 277.41 samples/sec Train-top_k_accuracy_5=0.833047 | |
| INFO:root:Epoch[32] Batch [150] Speed: 277.19 samples/sec Train-accuracy=0.633516 | |
| INFO:root:Epoch[32] Batch [150] Speed: 277.19 samples/sec Train-top_k_accuracy_5=0.839141 | |
| INFO:root:Epoch[32] Batch [200] Speed: 261.82 samples/sec Train-accuracy=0.631172 | |
| INFO:root:Epoch[32] Batch [200] Speed: 261.82 samples/sec Train-top_k_accuracy_5=0.843516 | |
| INFO:root:Epoch[32] Batch [250] Speed: 253.70 samples/sec Train-accuracy=0.634844 | |
| INFO:root:Epoch[32] Batch [250] Speed: 253.70 samples/sec Train-top_k_accuracy_5=0.845000 | |
| INFO:root:Epoch[32] Batch [300] Speed: 258.47 samples/sec Train-accuracy=0.633359 | |
| INFO:root:Epoch[32] Batch [300] Speed: 258.47 samples/sec Train-top_k_accuracy_5=0.845156 | |
| INFO:root:Epoch[32] Batch [350] Speed: 248.97 samples/sec Train-accuracy=0.643750 | |
| INFO:root:Epoch[32] Batch [350] Speed: 248.97 samples/sec Train-top_k_accuracy_5=0.841094 | |
| INFO:root:Epoch[32] Batch [400] Speed: 248.13 samples/sec Train-accuracy=0.638906 | |
| INFO:root:Epoch[32] Batch [400] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.844063 | |
| INFO:root:Epoch[32] Batch [450] Speed: 261.30 samples/sec Train-accuracy=0.637813 | |
| INFO:root:Epoch[32] Batch [450] Speed: 261.30 samples/sec Train-top_k_accuracy_5=0.843125 | |
| INFO:root:Epoch[32] Batch [500] Speed: 261.21 samples/sec Train-accuracy=0.638750 | |
| INFO:root:Epoch[32] Batch [500] Speed: 261.21 samples/sec Train-top_k_accuracy_5=0.843203 | |
| INFO:root:Epoch[32] Batch [550] Speed: 246.82 samples/sec Train-accuracy=0.635234 | |
| INFO:root:Epoch[32] Batch [550] Speed: 246.82 samples/sec Train-top_k_accuracy_5=0.836953 | |
| INFO:root:Epoch[32] Batch [600] Speed: 252.38 samples/sec Train-accuracy=0.637422 | |
| INFO:root:Epoch[32] Batch [600] Speed: 252.38 samples/sec Train-top_k_accuracy_5=0.836016 | |
| INFO:root:Epoch[32] Batch [650] Speed: 258.35 samples/sec Train-accuracy=0.631641 | |
| INFO:root:Epoch[32] Batch [650] Speed: 258.35 samples/sec Train-top_k_accuracy_5=0.838125 | |
| INFO:root:Epoch[32] Batch [700] Speed: 254.87 samples/sec Train-accuracy=0.637344 | |
| INFO:root:Epoch[32] Batch [700] Speed: 254.87 samples/sec Train-top_k_accuracy_5=0.841250 | |
| INFO:root:Epoch[32] Batch [750] Speed: 246.00 samples/sec Train-accuracy=0.640938 | |
| INFO:root:Epoch[32] Batch [750] Speed: 246.00 samples/sec Train-top_k_accuracy_5=0.845781 | |
| INFO:root:Epoch[32] Batch [800] Speed: 270.64 samples/sec Train-accuracy=0.629687 | |
| INFO:root:Epoch[32] Batch [800] Speed: 270.64 samples/sec Train-top_k_accuracy_5=0.833672 | |
| INFO:root:Epoch[32] Batch [850] Speed: 248.13 samples/sec Train-accuracy=0.636484 | |
| INFO:root:Epoch[32] Batch [850] Speed: 248.13 samples/sec Train-top_k_accuracy_5=0.835703 | |
| INFO:root:Epoch[32] Batch [900] Speed: 263.86 samples/sec Train-accuracy=0.636641 | |
| INFO:root:Epoch[32] Batch [900] Speed: 263.86 samples/sec Train-top_k_accuracy_5=0.842969 | |
| INFO:root:Epoch[32] Batch [950] Speed: 253.67 samples/sec Train-accuracy=0.636016 | |
| INFO:root:Epoch[32] Batch [950] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.841875 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 262.76 samples/sec Train-accuracy=0.634219 | |
| INFO:root:Epoch[32] Batch [1000] Speed: 262.76 samples/sec Train-top_k_accuracy_5=0.842266 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 255.34 samples/sec Train-accuracy=0.632188 | |
| INFO:root:Epoch[32] Batch [1050] Speed: 255.34 samples/sec Train-top_k_accuracy_5=0.841172 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 256.38 samples/sec Train-accuracy=0.638437 | |
| INFO:root:Epoch[32] Batch [1100] Speed: 256.38 samples/sec Train-top_k_accuracy_5=0.837734 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 247.30 samples/sec Train-accuracy=0.633750 | |
| INFO:root:Epoch[32] Batch [1150] Speed: 247.30 samples/sec Train-top_k_accuracy_5=0.838984 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 244.57 samples/sec Train-accuracy=0.640859 | |
| INFO:root:Epoch[32] Batch [1200] Speed: 244.57 samples/sec Train-top_k_accuracy_5=0.839609 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 257.81 samples/sec Train-accuracy=0.639375 | |
| INFO:root:Epoch[32] Batch [1250] Speed: 257.81 samples/sec Train-top_k_accuracy_5=0.841250 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 263.19 samples/sec Train-accuracy=0.639766 | |
| INFO:root:Epoch[32] Batch [1300] Speed: 263.19 samples/sec Train-top_k_accuracy_5=0.841875 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 263.14 samples/sec Train-accuracy=0.637578 | |
| INFO:root:Epoch[32] Batch [1350] Speed: 263.14 samples/sec Train-top_k_accuracy_5=0.837812 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 263.03 samples/sec Train-accuracy=0.638281 | |
| INFO:root:Epoch[32] Batch [1400] Speed: 263.03 samples/sec Train-top_k_accuracy_5=0.844219 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 255.23 samples/sec Train-accuracy=0.642734 | |
| INFO:root:Epoch[32] Batch [1450] Speed: 255.23 samples/sec Train-top_k_accuracy_5=0.843672 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 265.59 samples/sec Train-accuracy=0.637578 | |
| INFO:root:Epoch[32] Batch [1500] Speed: 265.59 samples/sec Train-top_k_accuracy_5=0.839063 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 252.51 samples/sec Train-accuracy=0.647188 | |
| INFO:root:Epoch[32] Batch [1550] Speed: 252.51 samples/sec Train-top_k_accuracy_5=0.843125 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 251.92 samples/sec Train-accuracy=0.645859 | |
| INFO:root:Epoch[32] Batch [1600] Speed: 251.92 samples/sec Train-top_k_accuracy_5=0.843516 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 261.63 samples/sec Train-accuracy=0.638984 | |
| INFO:root:Epoch[32] Batch [1650] Speed: 261.63 samples/sec Train-top_k_accuracy_5=0.841719 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 269.34 samples/sec Train-accuracy=0.631563 | |
| INFO:root:Epoch[32] Batch [1700] Speed: 269.34 samples/sec Train-top_k_accuracy_5=0.841406 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 271.35 samples/sec Train-accuracy=0.647344 | |
| INFO:root:Epoch[32] Batch [1750] Speed: 271.35 samples/sec Train-top_k_accuracy_5=0.846094 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 264.01 samples/sec Train-accuracy=0.642813 | |
| INFO:root:Epoch[32] Batch [1800] Speed: 264.01 samples/sec Train-top_k_accuracy_5=0.843203 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 268.83 samples/sec Train-accuracy=0.644531 | |
| INFO:root:Epoch[32] Batch [1850] Speed: 268.83 samples/sec Train-top_k_accuracy_5=0.848984 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 267.58 samples/sec Train-accuracy=0.644687 | |
| INFO:root:Epoch[32] Batch [1900] Speed: 267.58 samples/sec Train-top_k_accuracy_5=0.843672 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 266.76 samples/sec Train-accuracy=0.641875 | |
| INFO:root:Epoch[32] Batch [1950] Speed: 266.76 samples/sec Train-top_k_accuracy_5=0.843437 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 256.32 samples/sec Train-accuracy=0.641484 | |
| INFO:root:Epoch[32] Batch [2000] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.845781 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 258.54 samples/sec Train-accuracy=0.642344 | |
| INFO:root:Epoch[32] Batch [2050] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.845469 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 255.37 samples/sec Train-accuracy=0.646484 | |
| INFO:root:Epoch[32] Batch [2100] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.847422 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 261.63 samples/sec Train-accuracy=0.649531 | |
| INFO:root:Epoch[32] Batch [2150] Speed: 261.63 samples/sec Train-top_k_accuracy_5=0.848672 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 263.23 samples/sec Train-accuracy=0.647109 | |
| INFO:root:Epoch[32] Batch [2200] Speed: 263.23 samples/sec Train-top_k_accuracy_5=0.845547 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 273.01 samples/sec Train-accuracy=0.643594 | |
| INFO:root:Epoch[32] Batch [2250] Speed: 273.01 samples/sec Train-top_k_accuracy_5=0.845313 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 266.31 samples/sec Train-accuracy=0.641016 | |
| INFO:root:Epoch[32] Batch [2300] Speed: 266.31 samples/sec Train-top_k_accuracy_5=0.843359 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 261.73 samples/sec Train-accuracy=0.643516 | |
| INFO:root:Epoch[32] Batch [2350] Speed: 261.73 samples/sec Train-top_k_accuracy_5=0.847734 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 266.02 samples/sec Train-accuracy=0.636484 | |
| INFO:root:Epoch[32] Batch [2400] Speed: 266.02 samples/sec Train-top_k_accuracy_5=0.841953 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 259.47 samples/sec Train-accuracy=0.645000 | |
| INFO:root:Epoch[32] Batch [2450] Speed: 259.47 samples/sec Train-top_k_accuracy_5=0.844609 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 263.93 samples/sec Train-accuracy=0.644453 | |
| INFO:root:Epoch[32] Batch [2500] Speed: 263.93 samples/sec Train-top_k_accuracy_5=0.846719 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 256.28 samples/sec Train-accuracy=0.639453 | |
| INFO:root:Epoch[32] Batch [2550] Speed: 256.28 samples/sec Train-top_k_accuracy_5=0.838672 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 256.15 samples/sec Train-accuracy=0.647734 | |
| INFO:root:Epoch[32] Batch [2600] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.845078 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 254.66 samples/sec Train-accuracy=0.646016 | |
| INFO:root:Epoch[32] Batch [2650] Speed: 254.66 samples/sec Train-top_k_accuracy_5=0.846406 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 254.97 samples/sec Train-accuracy=0.646016 | |
| INFO:root:Epoch[32] Batch [2700] Speed: 254.97 samples/sec Train-top_k_accuracy_5=0.848281 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 264.57 samples/sec Train-accuracy=0.647891 | |
| INFO:root:Epoch[32] Batch [2750] Speed: 264.57 samples/sec Train-top_k_accuracy_5=0.851328 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 260.27 samples/sec Train-accuracy=0.643203 | |
| INFO:root:Epoch[32] Batch [2800] Speed: 260.27 samples/sec Train-top_k_accuracy_5=0.844141 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 266.77 samples/sec Train-accuracy=0.646641 | |
| INFO:root:Epoch[32] Batch [2850] Speed: 266.77 samples/sec Train-top_k_accuracy_5=0.850547 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 272.28 samples/sec Train-accuracy=0.646953 | |
| INFO:root:Epoch[32] Batch [2900] Speed: 272.28 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 265.10 samples/sec Train-accuracy=0.648594 | |
| INFO:root:Epoch[32] Batch [2950] Speed: 265.10 samples/sec Train-top_k_accuracy_5=0.845391 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 255.57 samples/sec Train-accuracy=0.648672 | |
| INFO:root:Epoch[32] Batch [3000] Speed: 255.57 samples/sec Train-top_k_accuracy_5=0.847187 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 257.83 samples/sec Train-accuracy=0.642578 | |
| INFO:root:Epoch[32] Batch [3050] Speed: 257.83 samples/sec Train-top_k_accuracy_5=0.847891 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 264.35 samples/sec Train-accuracy=0.646875 | |
| INFO:root:Epoch[32] Batch [3100] Speed: 264.35 samples/sec Train-top_k_accuracy_5=0.851328 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 255.92 samples/sec Train-accuracy=0.650312 | |
| INFO:root:Epoch[32] Batch [3150] Speed: 255.92 samples/sec Train-top_k_accuracy_5=0.849219 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 270.78 samples/sec Train-accuracy=0.648672 | |
| INFO:root:Epoch[32] Batch [3200] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 259.74 samples/sec Train-accuracy=0.643125 | |
| INFO:root:Epoch[32] Batch [3250] Speed: 259.74 samples/sec Train-top_k_accuracy_5=0.852656 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 262.23 samples/sec Train-accuracy=0.644687 | |
| INFO:root:Epoch[32] Batch [3300] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.850000 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 259.83 samples/sec Train-accuracy=0.640391 | |
| INFO:root:Epoch[32] Batch [3350] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.845938 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 248.85 samples/sec Train-accuracy=0.648828 | |
| INFO:root:Epoch[32] Batch [3400] Speed: 248.85 samples/sec Train-top_k_accuracy_5=0.850391 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 258.43 samples/sec Train-accuracy=0.648828 | |
| INFO:root:Epoch[32] Batch [3450] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.847344 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 263.99 samples/sec Train-accuracy=0.646172 | |
| INFO:root:Epoch[32] Batch [3500] Speed: 263.99 samples/sec Train-top_k_accuracy_5=0.851328 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 252.77 samples/sec Train-accuracy=0.656797 | |
| INFO:root:Epoch[32] Batch [3550] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.847891 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 268.83 samples/sec Train-accuracy=0.652500 | |
| INFO:root:Epoch[32] Batch [3600] Speed: 268.83 samples/sec Train-top_k_accuracy_5=0.854766 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 273.40 samples/sec Train-accuracy=0.648516 | |
| INFO:root:Epoch[32] Batch [3650] Speed: 273.40 samples/sec Train-top_k_accuracy_5=0.851172 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 269.14 samples/sec Train-accuracy=0.655547 | |
| INFO:root:Epoch[32] Batch [3700] Speed: 269.14 samples/sec Train-top_k_accuracy_5=0.852578 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 262.16 samples/sec Train-accuracy=0.655312 | |
| INFO:root:Epoch[32] Batch [3750] Speed: 262.16 samples/sec Train-top_k_accuracy_5=0.848672 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 269.41 samples/sec Train-accuracy=0.642578 | |
| INFO:root:Epoch[32] Batch [3800] Speed: 269.41 samples/sec Train-top_k_accuracy_5=0.850391 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 263.51 samples/sec Train-accuracy=0.654375 | |
| INFO:root:Epoch[32] Batch [3850] Speed: 263.51 samples/sec Train-top_k_accuracy_5=0.847969 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 273.63 samples/sec Train-accuracy=0.656250 | |
| INFO:root:Epoch[32] Batch [3900] Speed: 273.63 samples/sec Train-top_k_accuracy_5=0.853984 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 267.94 samples/sec Train-accuracy=0.650156 | |
| INFO:root:Epoch[32] Batch [3950] Speed: 267.94 samples/sec Train-top_k_accuracy_5=0.847656 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 263.33 samples/sec Train-accuracy=0.652500 | |
| INFO:root:Epoch[32] Batch [4000] Speed: 263.33 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 251.64 samples/sec Train-accuracy=0.651016 | |
| INFO:root:Epoch[32] Batch [4050] Speed: 251.64 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 260.36 samples/sec Train-accuracy=0.656641 | |
| INFO:root:Epoch[32] Batch [4100] Speed: 260.36 samples/sec Train-top_k_accuracy_5=0.850859 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 246.31 samples/sec Train-accuracy=0.655234 | |
| INFO:root:Epoch[32] Batch [4150] Speed: 246.31 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 257.42 samples/sec Train-accuracy=0.649375 | |
| INFO:root:Epoch[32] Batch [4200] Speed: 257.42 samples/sec Train-top_k_accuracy_5=0.853750 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 261.92 samples/sec Train-accuracy=0.649687 | |
| INFO:root:Epoch[32] Batch [4250] Speed: 261.92 samples/sec Train-top_k_accuracy_5=0.850156 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 270.92 samples/sec Train-accuracy=0.659531 | |
| INFO:root:Epoch[32] Batch [4300] Speed: 270.92 samples/sec Train-top_k_accuracy_5=0.853984 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 262.91 samples/sec Train-accuracy=0.660156 | |
| INFO:root:Epoch[32] Batch [4350] Speed: 262.91 samples/sec Train-top_k_accuracy_5=0.855234 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 264.56 samples/sec Train-accuracy=0.654141 | |
| INFO:root:Epoch[32] Batch [4400] Speed: 264.56 samples/sec Train-top_k_accuracy_5=0.853359 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 270.61 samples/sec Train-accuracy=0.656563 | |
| INFO:root:Epoch[32] Batch [4450] Speed: 270.61 samples/sec Train-top_k_accuracy_5=0.851094 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 272.69 samples/sec Train-accuracy=0.656328 | |
| INFO:root:Epoch[32] Batch [4500] Speed: 272.69 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 270.96 samples/sec Train-accuracy=0.652422 | |
| INFO:root:Epoch[32] Batch [4550] Speed: 270.96 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 270.07 samples/sec Train-accuracy=0.662344 | |
| INFO:root:Epoch[32] Batch [4600] Speed: 270.07 samples/sec Train-top_k_accuracy_5=0.855313 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 274.10 samples/sec Train-accuracy=0.655234 | |
| INFO:root:Epoch[32] Batch [4650] Speed: 274.10 samples/sec Train-top_k_accuracy_5=0.851641 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 261.43 samples/sec Train-accuracy=0.655312 | |
| INFO:root:Epoch[32] Batch [4700] Speed: 261.43 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 267.87 samples/sec Train-accuracy=0.655859 | |
| INFO:root:Epoch[32] Batch [4750] Speed: 267.87 samples/sec Train-top_k_accuracy_5=0.854141 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 269.35 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[32] Batch [4800] Speed: 269.35 samples/sec Train-top_k_accuracy_5=0.853828 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 273.44 samples/sec Train-accuracy=0.658125 | |
| INFO:root:Epoch[32] Batch [4850] Speed: 273.44 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 269.40 samples/sec Train-accuracy=0.656328 | |
| INFO:root:Epoch[32] Batch [4900] Speed: 269.40 samples/sec Train-top_k_accuracy_5=0.849375 | |
| INFO:root:Epoch[32] Batch [4950] Speed: 266.12 samples/sec Train-accuracy=0.651328 | |
| INFO:root:Epoch[32] Batch [4950] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.851953 | |
| INFO:root:Epoch[32] Batch [5000] Speed: 275.03 samples/sec Train-accuracy=0.653984 | |
| INFO:root:Epoch[32] Batch [5000] Speed: 275.03 samples/sec Train-top_k_accuracy_5=0.852656 | |
| INFO:root:Epoch[32] Resetting Data Iterator | |
| INFO:root:Epoch[32] Time cost=4893.256 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0033.params" | |
| INFO:root:Epoch[32] Validation-accuracy=0.701610 | |
| INFO:root:Epoch[32] Validation-top_k_accuracy_5=0.898119 | |
| INFO:root:Epoch[33] Batch [50] Speed: 285.35 samples/sec Train-accuracy=0.649687 | |
| INFO:root:Epoch[33] Batch [50] Speed: 285.35 samples/sec Train-top_k_accuracy_5=0.850781 | |
| INFO:root:Epoch[33] Batch [100] Speed: 277.73 samples/sec Train-accuracy=0.640781 | |
| INFO:root:Epoch[33] Batch [100] Speed: 277.73 samples/sec Train-top_k_accuracy_5=0.839531 | |
| INFO:root:Epoch[33] Batch [150] Speed: 277.46 samples/sec Train-accuracy=0.643594 | |
| INFO:root:Epoch[33] Batch [150] Speed: 277.46 samples/sec Train-top_k_accuracy_5=0.843516 | |
| INFO:root:Epoch[33] Batch [200] Speed: 278.52 samples/sec Train-accuracy=0.648047 | |
| INFO:root:Epoch[33] Batch [200] Speed: 278.52 samples/sec Train-top_k_accuracy_5=0.852031 | |
| INFO:root:Epoch[33] Batch [250] Speed: 277.82 samples/sec Train-accuracy=0.644062 | |
| INFO:root:Epoch[33] Batch [250] Speed: 277.82 samples/sec Train-top_k_accuracy_5=0.840859 | |
| INFO:root:Epoch[33] Batch [300] Speed: 266.94 samples/sec Train-accuracy=0.645781 | |
| INFO:root:Epoch[33] Batch [300] Speed: 266.94 samples/sec Train-top_k_accuracy_5=0.843906 | |
| INFO:root:Epoch[33] Batch [350] Speed: 260.03 samples/sec Train-accuracy=0.652344 | |
| INFO:root:Epoch[33] Batch [350] Speed: 260.03 samples/sec Train-top_k_accuracy_5=0.849375 | |
| INFO:root:Epoch[33] Batch [400] Speed: 261.28 samples/sec Train-accuracy=0.649687 | |
| INFO:root:Epoch[33] Batch [400] Speed: 261.28 samples/sec Train-top_k_accuracy_5=0.853437 | |
| INFO:root:Epoch[33] Batch [450] Speed: 255.41 samples/sec Train-accuracy=0.645781 | |
| INFO:root:Epoch[33] Batch [450] Speed: 255.41 samples/sec Train-top_k_accuracy_5=0.846875 | |
| INFO:root:Epoch[33] Batch [500] Speed: 255.70 samples/sec Train-accuracy=0.642734 | |
| INFO:root:Epoch[33] Batch [500] Speed: 255.70 samples/sec Train-top_k_accuracy_5=0.846328 | |
| INFO:root:Epoch[33] Batch [550] Speed: 262.86 samples/sec Train-accuracy=0.644766 | |
| INFO:root:Epoch[33] Batch [550] Speed: 262.86 samples/sec Train-top_k_accuracy_5=0.849531 | |
| INFO:root:Epoch[33] Batch [600] Speed: 263.09 samples/sec Train-accuracy=0.641016 | |
| INFO:root:Epoch[33] Batch [600] Speed: 263.09 samples/sec Train-top_k_accuracy_5=0.845000 | |
| INFO:root:Epoch[33] Batch [650] Speed: 249.28 samples/sec Train-accuracy=0.647969 | |
| INFO:root:Epoch[33] Batch [650] Speed: 249.28 samples/sec Train-top_k_accuracy_5=0.846562 | |
| INFO:root:Epoch[33] Batch [700] Speed: 268.75 samples/sec Train-accuracy=0.653750 | |
| INFO:root:Epoch[33] Batch [700] Speed: 268.75 samples/sec Train-top_k_accuracy_5=0.850703 | |
| INFO:root:Epoch[33] Batch [750] Speed: 252.59 samples/sec Train-accuracy=0.640625 | |
| INFO:root:Epoch[33] Batch [750] Speed: 252.59 samples/sec Train-top_k_accuracy_5=0.849141 | |
| INFO:root:Epoch[33] Batch [800] Speed: 263.33 samples/sec Train-accuracy=0.636406 | |
| INFO:root:Epoch[33] Batch [800] Speed: 263.33 samples/sec Train-top_k_accuracy_5=0.840469 | |
| INFO:root:Epoch[33] Batch [850] Speed: 269.92 samples/sec Train-accuracy=0.647969 | |
| INFO:root:Epoch[33] Batch [850] Speed: 269.92 samples/sec Train-top_k_accuracy_5=0.841641 | |
| INFO:root:Epoch[33] Batch [900] Speed: 275.73 samples/sec Train-accuracy=0.649219 | |
| INFO:root:Epoch[33] Batch [900] Speed: 275.73 samples/sec Train-top_k_accuracy_5=0.846484 | |
| INFO:root:Epoch[33] Batch [950] Speed: 271.92 samples/sec Train-accuracy=0.641719 | |
| INFO:root:Epoch[33] Batch [950] Speed: 271.92 samples/sec Train-top_k_accuracy_5=0.845625 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 260.63 samples/sec Train-accuracy=0.647031 | |
| INFO:root:Epoch[33] Batch [1000] Speed: 260.63 samples/sec Train-top_k_accuracy_5=0.855391 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 252.77 samples/sec Train-accuracy=0.643906 | |
| INFO:root:Epoch[33] Batch [1050] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.849297 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 267.71 samples/sec Train-accuracy=0.650000 | |
| INFO:root:Epoch[33] Batch [1100] Speed: 267.71 samples/sec Train-top_k_accuracy_5=0.850703 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 265.97 samples/sec Train-accuracy=0.646641 | |
| INFO:root:Epoch[33] Batch [1150] Speed: 265.97 samples/sec Train-top_k_accuracy_5=0.847734 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 260.51 samples/sec Train-accuracy=0.648984 | |
| INFO:root:Epoch[33] Batch [1200] Speed: 260.51 samples/sec Train-top_k_accuracy_5=0.846719 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 270.99 samples/sec Train-accuracy=0.647031 | |
| INFO:root:Epoch[33] Batch [1250] Speed: 270.99 samples/sec Train-top_k_accuracy_5=0.851562 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 261.28 samples/sec Train-accuracy=0.648594 | |
| INFO:root:Epoch[33] Batch [1300] Speed: 261.28 samples/sec Train-top_k_accuracy_5=0.847422 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 272.94 samples/sec Train-accuracy=0.646328 | |
| INFO:root:Epoch[33] Batch [1350] Speed: 272.94 samples/sec Train-top_k_accuracy_5=0.844766 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 264.86 samples/sec Train-accuracy=0.645781 | |
| INFO:root:Epoch[33] Batch [1400] Speed: 264.86 samples/sec Train-top_k_accuracy_5=0.845000 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 270.82 samples/sec Train-accuracy=0.652109 | |
| INFO:root:Epoch[33] Batch [1450] Speed: 270.82 samples/sec Train-top_k_accuracy_5=0.851719 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 274.47 samples/sec Train-accuracy=0.646719 | |
| INFO:root:Epoch[33] Batch [1500] Speed: 274.47 samples/sec Train-top_k_accuracy_5=0.848594 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 264.75 samples/sec Train-accuracy=0.656094 | |
| INFO:root:Epoch[33] Batch [1550] Speed: 264.75 samples/sec Train-top_k_accuracy_5=0.853672 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 275.36 samples/sec Train-accuracy=0.648672 | |
| INFO:root:Epoch[33] Batch [1600] Speed: 275.36 samples/sec Train-top_k_accuracy_5=0.843437 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 261.08 samples/sec Train-accuracy=0.651094 | |
| INFO:root:Epoch[33] Batch [1650] Speed: 261.08 samples/sec Train-top_k_accuracy_5=0.841797 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 263.01 samples/sec Train-accuracy=0.648750 | |
| INFO:root:Epoch[33] Batch [1700] Speed: 263.01 samples/sec Train-top_k_accuracy_5=0.847422 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 276.91 samples/sec Train-accuracy=0.648984 | |
| INFO:root:Epoch[33] Batch [1750] Speed: 276.91 samples/sec Train-top_k_accuracy_5=0.847109 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 268.97 samples/sec Train-accuracy=0.648516 | |
| INFO:root:Epoch[33] Batch [1800] Speed: 268.97 samples/sec Train-top_k_accuracy_5=0.850625 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 271.14 samples/sec Train-accuracy=0.650312 | |
| INFO:root:Epoch[33] Batch [1850] Speed: 271.14 samples/sec Train-top_k_accuracy_5=0.852969 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 277.01 samples/sec Train-accuracy=0.646563 | |
| INFO:root:Epoch[33] Batch [1900] Speed: 277.01 samples/sec Train-top_k_accuracy_5=0.847500 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 265.87 samples/sec Train-accuracy=0.649531 | |
| INFO:root:Epoch[33] Batch [1950] Speed: 265.87 samples/sec Train-top_k_accuracy_5=0.850547 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 254.40 samples/sec Train-accuracy=0.644766 | |
| INFO:root:Epoch[33] Batch [2000] Speed: 254.40 samples/sec Train-top_k_accuracy_5=0.846094 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 254.38 samples/sec Train-accuracy=0.645938 | |
| INFO:root:Epoch[33] Batch [2050] Speed: 254.38 samples/sec Train-top_k_accuracy_5=0.844609 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 264.65 samples/sec Train-accuracy=0.648750 | |
| INFO:root:Epoch[33] Batch [2100] Speed: 264.65 samples/sec Train-top_k_accuracy_5=0.847422 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 265.61 samples/sec Train-accuracy=0.659922 | |
| INFO:root:Epoch[33] Batch [2150] Speed: 265.61 samples/sec Train-top_k_accuracy_5=0.856094 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 264.81 samples/sec Train-accuracy=0.655547 | |
| INFO:root:Epoch[33] Batch [2200] Speed: 264.81 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 262.48 samples/sec Train-accuracy=0.649687 | |
| INFO:root:Epoch[33] Batch [2250] Speed: 262.48 samples/sec Train-top_k_accuracy_5=0.849766 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 247.58 samples/sec Train-accuracy=0.647969 | |
| INFO:root:Epoch[33] Batch [2300] Speed: 247.58 samples/sec Train-top_k_accuracy_5=0.849141 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 254.85 samples/sec Train-accuracy=0.658594 | |
| INFO:root:Epoch[33] Batch [2350] Speed: 254.85 samples/sec Train-top_k_accuracy_5=0.853125 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 262.71 samples/sec Train-accuracy=0.647031 | |
| INFO:root:Epoch[33] Batch [2400] Speed: 262.71 samples/sec Train-top_k_accuracy_5=0.843906 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 256.05 samples/sec Train-accuracy=0.649141 | |
| INFO:root:Epoch[33] Batch [2450] Speed: 256.05 samples/sec Train-top_k_accuracy_5=0.848516 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 269.57 samples/sec Train-accuracy=0.658359 | |
| INFO:root:Epoch[33] Batch [2500] Speed: 269.57 samples/sec Train-top_k_accuracy_5=0.856641 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 261.55 samples/sec Train-accuracy=0.650000 | |
| INFO:root:Epoch[33] Batch [2550] Speed: 261.55 samples/sec Train-top_k_accuracy_5=0.846797 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 244.50 samples/sec Train-accuracy=0.650781 | |
| INFO:root:Epoch[33] Batch [2600] Speed: 244.50 samples/sec Train-top_k_accuracy_5=0.848516 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 259.16 samples/sec Train-accuracy=0.656406 | |
| INFO:root:Epoch[33] Batch [2650] Speed: 259.16 samples/sec Train-top_k_accuracy_5=0.851875 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 259.61 samples/sec Train-accuracy=0.647500 | |
| INFO:root:Epoch[33] Batch [2700] Speed: 259.61 samples/sec Train-top_k_accuracy_5=0.848984 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 267.17 samples/sec Train-accuracy=0.655547 | |
| INFO:root:Epoch[33] Batch [2750] Speed: 267.17 samples/sec Train-top_k_accuracy_5=0.856875 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 246.32 samples/sec Train-accuracy=0.650078 | |
| INFO:root:Epoch[33] Batch [2800] Speed: 246.32 samples/sec Train-top_k_accuracy_5=0.849297 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 239.57 samples/sec Train-accuracy=0.655078 | |
| INFO:root:Epoch[33] Batch [2850] Speed: 239.57 samples/sec Train-top_k_accuracy_5=0.853906 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 258.44 samples/sec Train-accuracy=0.650547 | |
| INFO:root:Epoch[33] Batch [2900] Speed: 258.44 samples/sec Train-top_k_accuracy_5=0.851094 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 257.33 samples/sec Train-accuracy=0.652578 | |
| INFO:root:Epoch[33] Batch [2950] Speed: 257.33 samples/sec Train-top_k_accuracy_5=0.851641 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 260.28 samples/sec Train-accuracy=0.656016 | |
| INFO:root:Epoch[33] Batch [3000] Speed: 260.28 samples/sec Train-top_k_accuracy_5=0.853906 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 265.90 samples/sec Train-accuracy=0.656875 | |
| INFO:root:Epoch[33] Batch [3050] Speed: 265.90 samples/sec Train-top_k_accuracy_5=0.854141 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 273.97 samples/sec Train-accuracy=0.656406 | |
| INFO:root:Epoch[33] Batch [3100] Speed: 273.97 samples/sec Train-top_k_accuracy_5=0.852344 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 275.23 samples/sec Train-accuracy=0.651875 | |
| INFO:root:Epoch[33] Batch [3150] Speed: 275.23 samples/sec Train-top_k_accuracy_5=0.856719 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 273.88 samples/sec Train-accuracy=0.658984 | |
| INFO:root:Epoch[33] Batch [3200] Speed: 273.88 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 265.42 samples/sec Train-accuracy=0.650312 | |
| INFO:root:Epoch[33] Batch [3250] Speed: 265.42 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 267.68 samples/sec Train-accuracy=0.659141 | |
| INFO:root:Epoch[33] Batch [3300] Speed: 267.68 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 266.71 samples/sec Train-accuracy=0.650781 | |
| INFO:root:Epoch[33] Batch [3350] Speed: 266.71 samples/sec Train-top_k_accuracy_5=0.848906 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 269.03 samples/sec Train-accuracy=0.660547 | |
| INFO:root:Epoch[33] Batch [3400] Speed: 269.03 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 269.10 samples/sec Train-accuracy=0.651641 | |
| INFO:root:Epoch[33] Batch [3450] Speed: 269.10 samples/sec Train-top_k_accuracy_5=0.853984 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 262.83 samples/sec Train-accuracy=0.661172 | |
| INFO:root:Epoch[33] Batch [3500] Speed: 262.83 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 268.48 samples/sec Train-accuracy=0.657266 | |
| INFO:root:Epoch[33] Batch [3550] Speed: 268.48 samples/sec Train-top_k_accuracy_5=0.853828 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 271.80 samples/sec Train-accuracy=0.658984 | |
| INFO:root:Epoch[33] Batch [3600] Speed: 271.80 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 265.98 samples/sec Train-accuracy=0.657344 | |
| INFO:root:Epoch[33] Batch [3650] Speed: 265.98 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 275.43 samples/sec Train-accuracy=0.661953 | |
| INFO:root:Epoch[33] Batch [3700] Speed: 275.43 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 261.48 samples/sec Train-accuracy=0.656016 | |
| INFO:root:Epoch[33] Batch [3750] Speed: 261.48 samples/sec Train-top_k_accuracy_5=0.851328 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 269.61 samples/sec Train-accuracy=0.652188 | |
| INFO:root:Epoch[33] Batch [3800] Speed: 269.61 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 272.09 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[33] Batch [3850] Speed: 272.09 samples/sec Train-top_k_accuracy_5=0.858516 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 273.82 samples/sec Train-accuracy=0.663516 | |
| INFO:root:Epoch[33] Batch [3900] Speed: 273.82 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 276.94 samples/sec Train-accuracy=0.661016 | |
| INFO:root:Epoch[33] Batch [3950] Speed: 276.94 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 269.94 samples/sec Train-accuracy=0.654453 | |
| INFO:root:Epoch[33] Batch [4000] Speed: 269.94 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 270.05 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[33] Batch [4050] Speed: 270.05 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 267.45 samples/sec Train-accuracy=0.653203 | |
| INFO:root:Epoch[33] Batch [4100] Speed: 267.45 samples/sec Train-top_k_accuracy_5=0.854609 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 276.88 samples/sec Train-accuracy=0.665781 | |
| INFO:root:Epoch[33] Batch [4150] Speed: 276.88 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 267.35 samples/sec Train-accuracy=0.659687 | |
| INFO:root:Epoch[33] Batch [4200] Speed: 267.35 samples/sec Train-top_k_accuracy_5=0.853281 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 269.28 samples/sec Train-accuracy=0.657422 | |
| INFO:root:Epoch[33] Batch [4250] Speed: 269.28 samples/sec Train-top_k_accuracy_5=0.851172 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 258.00 samples/sec Train-accuracy=0.665078 | |
| INFO:root:Epoch[33] Batch [4300] Speed: 258.00 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 254.89 samples/sec Train-accuracy=0.655469 | |
| INFO:root:Epoch[33] Batch [4350] Speed: 254.89 samples/sec Train-top_k_accuracy_5=0.852109 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 256.11 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[33] Batch [4400] Speed: 256.11 samples/sec Train-top_k_accuracy_5=0.853359 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 260.81 samples/sec Train-accuracy=0.656953 | |
| INFO:root:Epoch[33] Batch [4450] Speed: 260.81 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 264.12 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[33] Batch [4500] Speed: 264.12 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 262.84 samples/sec Train-accuracy=0.659219 | |
| INFO:root:Epoch[33] Batch [4550] Speed: 262.84 samples/sec Train-top_k_accuracy_5=0.854922 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 264.93 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[33] Batch [4600] Speed: 264.93 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 264.61 samples/sec Train-accuracy=0.655234 | |
| INFO:root:Epoch[33] Batch [4650] Speed: 264.61 samples/sec Train-top_k_accuracy_5=0.850391 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 260.06 samples/sec Train-accuracy=0.657734 | |
| INFO:root:Epoch[33] Batch [4700] Speed: 260.06 samples/sec Train-top_k_accuracy_5=0.855547 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 255.37 samples/sec Train-accuracy=0.654375 | |
| INFO:root:Epoch[33] Batch [4750] Speed: 255.37 samples/sec Train-top_k_accuracy_5=0.854766 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 256.88 samples/sec Train-accuracy=0.662109 | |
| INFO:root:Epoch[33] Batch [4800] Speed: 256.88 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 265.18 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[33] Batch [4850] Speed: 265.18 samples/sec Train-top_k_accuracy_5=0.857344 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 254.39 samples/sec Train-accuracy=0.660078 | |
| INFO:root:Epoch[33] Batch [4900] Speed: 254.39 samples/sec Train-top_k_accuracy_5=0.855000 | |
| INFO:root:Epoch[33] Batch [4950] Speed: 268.72 samples/sec Train-accuracy=0.657969 | |
| INFO:root:Epoch[33] Batch [4950] Speed: 268.72 samples/sec Train-top_k_accuracy_5=0.854141 | |
| INFO:root:Epoch[33] Batch [5000] Speed: 265.29 samples/sec Train-accuracy=0.655234 | |
| INFO:root:Epoch[33] Batch [5000] Speed: 265.29 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[33] Resetting Data Iterator | |
| INFO:root:Epoch[33] Time cost=4840.947 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0034.params" | |
| INFO:root:Epoch[33] Validation-accuracy=0.705297 | |
| INFO:root:Epoch[33] Validation-top_k_accuracy_5=0.900132 | |
| INFO:root:Epoch[34] Batch [50] Speed: 282.48 samples/sec Train-accuracy=0.657031 | |
| INFO:root:Epoch[34] Batch [50] Speed: 282.48 samples/sec Train-top_k_accuracy_5=0.853672 | |
| INFO:root:Epoch[34] Batch [100] Speed: 278.07 samples/sec Train-accuracy=0.651016 | |
| INFO:root:Epoch[34] Batch [100] Speed: 278.07 samples/sec Train-top_k_accuracy_5=0.853750 | |
| INFO:root:Epoch[34] Batch [150] Speed: 277.27 samples/sec Train-accuracy=0.648594 | |
| INFO:root:Epoch[34] Batch [150] Speed: 277.27 samples/sec Train-top_k_accuracy_5=0.846875 | |
| INFO:root:Epoch[34] Batch [200] Speed: 277.55 samples/sec Train-accuracy=0.653438 | |
| INFO:root:Epoch[34] Batch [200] Speed: 277.55 samples/sec Train-top_k_accuracy_5=0.854609 | |
| INFO:root:Epoch[34] Batch [250] Speed: 276.40 samples/sec Train-accuracy=0.651875 | |
| INFO:root:Epoch[34] Batch [250] Speed: 276.40 samples/sec Train-top_k_accuracy_5=0.849844 | |
| INFO:root:Epoch[34] Batch [300] Speed: 277.45 samples/sec Train-accuracy=0.652656 | |
| INFO:root:Epoch[34] Batch [300] Speed: 277.45 samples/sec Train-top_k_accuracy_5=0.851719 | |
| INFO:root:Epoch[34] Batch [350] Speed: 275.83 samples/sec Train-accuracy=0.653438 | |
| INFO:root:Epoch[34] Batch [350] Speed: 275.83 samples/sec Train-top_k_accuracy_5=0.848906 | |
| INFO:root:Epoch[34] Batch [400] Speed: 263.28 samples/sec Train-accuracy=0.650000 | |
| INFO:root:Epoch[34] Batch [400] Speed: 263.28 samples/sec Train-top_k_accuracy_5=0.852812 | |
| INFO:root:Epoch[34] Batch [450] Speed: 258.74 samples/sec Train-accuracy=0.649062 | |
| INFO:root:Epoch[34] Batch [450] Speed: 258.74 samples/sec Train-top_k_accuracy_5=0.853516 | |
| INFO:root:Epoch[34] Batch [500] Speed: 261.19 samples/sec Train-accuracy=0.648984 | |
| INFO:root:Epoch[34] Batch [500] Speed: 261.19 samples/sec Train-top_k_accuracy_5=0.848750 | |
| INFO:root:Epoch[34] Batch [550] Speed: 270.54 samples/sec Train-accuracy=0.652109 | |
| INFO:root:Epoch[34] Batch [550] Speed: 270.54 samples/sec Train-top_k_accuracy_5=0.851250 | |
| INFO:root:Epoch[34] Batch [600] Speed: 259.95 samples/sec Train-accuracy=0.649453 | |
| INFO:root:Epoch[34] Batch [600] Speed: 259.95 samples/sec Train-top_k_accuracy_5=0.846641 | |
| INFO:root:Epoch[34] Batch [650] Speed: 243.31 samples/sec Train-accuracy=0.652422 | |
| INFO:root:Epoch[34] Batch [650] Speed: 243.31 samples/sec Train-top_k_accuracy_5=0.856328 | |
| INFO:root:Epoch[34] Batch [700] Speed: 251.23 samples/sec Train-accuracy=0.647891 | |
| INFO:root:Epoch[34] Batch [700] Speed: 251.23 samples/sec Train-top_k_accuracy_5=0.847734 | |
| INFO:root:Epoch[34] Batch [750] Speed: 250.61 samples/sec Train-accuracy=0.653672 | |
| INFO:root:Epoch[34] Batch [750] Speed: 250.61 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[34] Batch [800] Speed: 248.90 samples/sec Train-accuracy=0.643672 | |
| INFO:root:Epoch[34] Batch [800] Speed: 248.90 samples/sec Train-top_k_accuracy_5=0.845547 | |
| INFO:root:Epoch[34] Batch [850] Speed: 256.55 samples/sec Train-accuracy=0.652344 | |
| INFO:root:Epoch[34] Batch [850] Speed: 256.55 samples/sec Train-top_k_accuracy_5=0.849063 | |
| INFO:root:Epoch[34] Batch [900] Speed: 252.23 samples/sec Train-accuracy=0.651797 | |
| INFO:root:Epoch[34] Batch [900] Speed: 252.23 samples/sec Train-top_k_accuracy_5=0.853203 | |
| INFO:root:Epoch[34] Batch [950] Speed: 273.30 samples/sec Train-accuracy=0.651484 | |
| INFO:root:Epoch[34] Batch [950] Speed: 273.30 samples/sec Train-top_k_accuracy_5=0.850234 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 255.50 samples/sec Train-accuracy=0.650156 | |
| INFO:root:Epoch[34] Batch [1000] Speed: 255.50 samples/sec Train-top_k_accuracy_5=0.852969 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 267.42 samples/sec Train-accuracy=0.655391 | |
| INFO:root:Epoch[34] Batch [1050] Speed: 267.42 samples/sec Train-top_k_accuracy_5=0.850469 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 260.05 samples/sec Train-accuracy=0.658594 | |
| INFO:root:Epoch[34] Batch [1100] Speed: 260.05 samples/sec Train-top_k_accuracy_5=0.847969 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 278.42 samples/sec Train-accuracy=0.648203 | |
| INFO:root:Epoch[34] Batch [1150] Speed: 278.42 samples/sec Train-top_k_accuracy_5=0.847578 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 262.27 samples/sec Train-accuracy=0.653203 | |
| INFO:root:Epoch[34] Batch [1200] Speed: 262.27 samples/sec Train-top_k_accuracy_5=0.852344 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 263.79 samples/sec Train-accuracy=0.652734 | |
| INFO:root:Epoch[34] Batch [1250] Speed: 263.79 samples/sec Train-top_k_accuracy_5=0.849297 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 259.13 samples/sec Train-accuracy=0.652969 | |
| INFO:root:Epoch[34] Batch [1300] Speed: 259.13 samples/sec Train-top_k_accuracy_5=0.854922 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 265.98 samples/sec Train-accuracy=0.654141 | |
| INFO:root:Epoch[34] Batch [1350] Speed: 265.98 samples/sec Train-top_k_accuracy_5=0.849922 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 270.33 samples/sec Train-accuracy=0.657109 | |
| INFO:root:Epoch[34] Batch [1400] Speed: 270.33 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 269.10 samples/sec Train-accuracy=0.661953 | |
| INFO:root:Epoch[34] Batch [1450] Speed: 269.10 samples/sec Train-top_k_accuracy_5=0.853906 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 252.02 samples/sec Train-accuracy=0.652969 | |
| INFO:root:Epoch[34] Batch [1500] Speed: 252.02 samples/sec Train-top_k_accuracy_5=0.851641 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 270.83 samples/sec Train-accuracy=0.663203 | |
| INFO:root:Epoch[34] Batch [1550] Speed: 270.83 samples/sec Train-top_k_accuracy_5=0.856719 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 263.14 samples/sec Train-accuracy=0.653594 | |
| INFO:root:Epoch[34] Batch [1600] Speed: 263.14 samples/sec Train-top_k_accuracy_5=0.850391 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 269.46 samples/sec Train-accuracy=0.656641 | |
| INFO:root:Epoch[34] Batch [1650] Speed: 269.46 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 255.61 samples/sec Train-accuracy=0.646250 | |
| INFO:root:Epoch[34] Batch [1700] Speed: 255.61 samples/sec Train-top_k_accuracy_5=0.848125 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 268.13 samples/sec Train-accuracy=0.653984 | |
| INFO:root:Epoch[34] Batch [1750] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.848281 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 273.99 samples/sec Train-accuracy=0.653516 | |
| INFO:root:Epoch[34] Batch [1800] Speed: 273.99 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 277.13 samples/sec Train-accuracy=0.652891 | |
| INFO:root:Epoch[34] Batch [1850] Speed: 277.13 samples/sec Train-top_k_accuracy_5=0.854141 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 266.17 samples/sec Train-accuracy=0.651172 | |
| INFO:root:Epoch[34] Batch [1900] Speed: 266.17 samples/sec Train-top_k_accuracy_5=0.850938 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 271.39 samples/sec Train-accuracy=0.654219 | |
| INFO:root:Epoch[34] Batch [1950] Speed: 271.39 samples/sec Train-top_k_accuracy_5=0.855391 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 272.91 samples/sec Train-accuracy=0.657891 | |
| INFO:root:Epoch[34] Batch [2000] Speed: 272.91 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 276.37 samples/sec Train-accuracy=0.659453 | |
| INFO:root:Epoch[34] Batch [2050] Speed: 276.37 samples/sec Train-top_k_accuracy_5=0.853047 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 269.91 samples/sec Train-accuracy=0.659531 | |
| INFO:root:Epoch[34] Batch [2100] Speed: 269.91 samples/sec Train-top_k_accuracy_5=0.855781 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 263.51 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[34] Batch [2150] Speed: 263.51 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 260.46 samples/sec Train-accuracy=0.656172 | |
| INFO:root:Epoch[34] Batch [2200] Speed: 260.46 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 254.39 samples/sec Train-accuracy=0.660391 | |
| INFO:root:Epoch[34] Batch [2250] Speed: 254.39 samples/sec Train-top_k_accuracy_5=0.848828 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 253.85 samples/sec Train-accuracy=0.652500 | |
| INFO:root:Epoch[34] Batch [2300] Speed: 253.85 samples/sec Train-top_k_accuracy_5=0.852578 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 258.32 samples/sec Train-accuracy=0.658359 | |
| INFO:root:Epoch[34] Batch [2350] Speed: 258.32 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 257.19 samples/sec Train-accuracy=0.652344 | |
| INFO:root:Epoch[34] Batch [2400] Speed: 257.19 samples/sec Train-top_k_accuracy_5=0.850313 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 262.94 samples/sec Train-accuracy=0.654844 | |
| INFO:root:Epoch[34] Batch [2450] Speed: 262.94 samples/sec Train-top_k_accuracy_5=0.848594 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 260.29 samples/sec Train-accuracy=0.654844 | |
| INFO:root:Epoch[34] Batch [2500] Speed: 260.29 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 267.15 samples/sec Train-accuracy=0.652969 | |
| INFO:root:Epoch[34] Batch [2550] Speed: 267.15 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 257.27 samples/sec Train-accuracy=0.661016 | |
| INFO:root:Epoch[34] Batch [2600] Speed: 257.27 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 268.58 samples/sec Train-accuracy=0.658047 | |
| INFO:root:Epoch[34] Batch [2650] Speed: 268.58 samples/sec Train-top_k_accuracy_5=0.850000 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 252.77 samples/sec Train-accuracy=0.653203 | |
| INFO:root:Epoch[34] Batch [2700] Speed: 252.77 samples/sec Train-top_k_accuracy_5=0.852812 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 260.73 samples/sec Train-accuracy=0.654375 | |
| INFO:root:Epoch[34] Batch [2750] Speed: 260.73 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 260.05 samples/sec Train-accuracy=0.652031 | |
| INFO:root:Epoch[34] Batch [2800] Speed: 260.05 samples/sec Train-top_k_accuracy_5=0.853437 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 262.30 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[34] Batch [2850] Speed: 262.30 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 265.40 samples/sec Train-accuracy=0.660391 | |
| INFO:root:Epoch[34] Batch [2900] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 260.50 samples/sec Train-accuracy=0.661094 | |
| INFO:root:Epoch[34] Batch [2950] Speed: 260.50 samples/sec Train-top_k_accuracy_5=0.850625 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 261.06 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[34] Batch [3000] Speed: 261.06 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 264.52 samples/sec Train-accuracy=0.657969 | |
| INFO:root:Epoch[34] Batch [3050] Speed: 264.52 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 259.92 samples/sec Train-accuracy=0.656250 | |
| INFO:root:Epoch[34] Batch [3100] Speed: 259.92 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 267.82 samples/sec Train-accuracy=0.655547 | |
| INFO:root:Epoch[34] Batch [3150] Speed: 267.82 samples/sec Train-top_k_accuracy_5=0.857500 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 248.98 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[34] Batch [3200] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.860703 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 244.78 samples/sec Train-accuracy=0.660312 | |
| INFO:root:Epoch[34] Batch [3250] Speed: 244.78 samples/sec Train-top_k_accuracy_5=0.855703 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 254.54 samples/sec Train-accuracy=0.661797 | |
| INFO:root:Epoch[34] Batch [3300] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.858594 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 265.01 samples/sec Train-accuracy=0.655391 | |
| INFO:root:Epoch[34] Batch [3350] Speed: 265.01 samples/sec Train-top_k_accuracy_5=0.852891 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 274.81 samples/sec Train-accuracy=0.663281 | |
| INFO:root:Epoch[34] Batch [3400] Speed: 274.81 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 248.41 samples/sec Train-accuracy=0.651875 | |
| INFO:root:Epoch[34] Batch [3450] Speed: 248.41 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 249.53 samples/sec Train-accuracy=0.657969 | |
| INFO:root:Epoch[34] Batch [3500] Speed: 249.53 samples/sec Train-top_k_accuracy_5=0.856094 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 255.89 samples/sec Train-accuracy=0.656719 | |
| INFO:root:Epoch[34] Batch [3550] Speed: 255.89 samples/sec Train-top_k_accuracy_5=0.856641 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 245.28 samples/sec Train-accuracy=0.663672 | |
| INFO:root:Epoch[34] Batch [3600] Speed: 245.28 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 262.70 samples/sec Train-accuracy=0.658203 | |
| INFO:root:Epoch[34] Batch [3650] Speed: 262.70 samples/sec Train-top_k_accuracy_5=0.856875 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 256.36 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[34] Batch [3700] Speed: 256.36 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 260.92 samples/sec Train-accuracy=0.659609 | |
| INFO:root:Epoch[34] Batch [3750] Speed: 260.92 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 266.87 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[34] Batch [3800] Speed: 266.87 samples/sec Train-top_k_accuracy_5=0.854453 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 262.90 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[34] Batch [3850] Speed: 262.90 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 259.92 samples/sec Train-accuracy=0.664922 | |
| INFO:root:Epoch[34] Batch [3900] Speed: 259.92 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 263.69 samples/sec Train-accuracy=0.658828 | |
| INFO:root:Epoch[34] Batch [3950] Speed: 263.69 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 246.73 samples/sec Train-accuracy=0.659062 | |
| INFO:root:Epoch[34] Batch [4000] Speed: 246.73 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 251.02 samples/sec Train-accuracy=0.660000 | |
| INFO:root:Epoch[34] Batch [4050] Speed: 251.02 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 257.90 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[34] Batch [4100] Speed: 257.90 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 244.14 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[34] Batch [4150] Speed: 244.14 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 251.72 samples/sec Train-accuracy=0.664375 | |
| INFO:root:Epoch[34] Batch [4200] Speed: 251.72 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 259.47 samples/sec Train-accuracy=0.661797 | |
| INFO:root:Epoch[34] Batch [4250] Speed: 259.47 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 262.07 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[34] Batch [4300] Speed: 262.07 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 263.47 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[34] Batch [4350] Speed: 263.47 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 264.90 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[34] Batch [4400] Speed: 264.90 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 260.29 samples/sec Train-accuracy=0.662813 | |
| INFO:root:Epoch[34] Batch [4450] Speed: 260.29 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 264.52 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[34] Batch [4500] Speed: 264.52 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 261.96 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[34] Batch [4550] Speed: 261.96 samples/sec Train-top_k_accuracy_5=0.857891 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 267.55 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[34] Batch [4600] Speed: 267.55 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 263.82 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[34] Batch [4650] Speed: 263.82 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 259.46 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[34] Batch [4700] Speed: 259.46 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 256.46 samples/sec Train-accuracy=0.659453 | |
| INFO:root:Epoch[34] Batch [4750] Speed: 256.46 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 270.04 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[34] Batch [4800] Speed: 270.04 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 270.92 samples/sec Train-accuracy=0.664844 | |
| INFO:root:Epoch[34] Batch [4850] Speed: 270.92 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 268.11 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[34] Batch [4900] Speed: 268.11 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[34] Batch [4950] Speed: 253.11 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[34] Batch [4950] Speed: 253.11 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[34] Batch [5000] Speed: 257.17 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[34] Batch [5000] Speed: 257.17 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[34] Resetting Data Iterator | |
| INFO:root:Epoch[34] Time cost=4891.328 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0035.params" | |
| INFO:root:Epoch[34] Validation-accuracy=0.706354 | |
| INFO:root:Epoch[34] Validation-top_k_accuracy_5=0.900969 | |
| INFO:root:Epoch[35] Batch [50] Speed: 282.91 samples/sec Train-accuracy=0.662109 | |
| INFO:root:Epoch[35] Batch [50] Speed: 282.91 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[35] Batch [100] Speed: 277.48 samples/sec Train-accuracy=0.661016 | |
| INFO:root:Epoch[35] Batch [100] Speed: 277.48 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[35] Batch [150] Speed: 276.35 samples/sec Train-accuracy=0.649531 | |
| INFO:root:Epoch[35] Batch [150] Speed: 276.35 samples/sec Train-top_k_accuracy_5=0.850156 | |
| INFO:root:Epoch[35] Batch [200] Speed: 277.49 samples/sec Train-accuracy=0.657500 | |
| INFO:root:Epoch[35] Batch [200] Speed: 277.49 samples/sec Train-top_k_accuracy_5=0.854297 | |
| INFO:root:Epoch[35] Batch [250] Speed: 265.58 samples/sec Train-accuracy=0.654297 | |
| INFO:root:Epoch[35] Batch [250] Speed: 265.58 samples/sec Train-top_k_accuracy_5=0.850234 | |
| INFO:root:Epoch[35] Batch [300] Speed: 260.25 samples/sec Train-accuracy=0.655625 | |
| INFO:root:Epoch[35] Batch [300] Speed: 260.25 samples/sec Train-top_k_accuracy_5=0.851016 | |
| INFO:root:Epoch[35] Batch [350] Speed: 267.51 samples/sec Train-accuracy=0.662578 | |
| INFO:root:Epoch[35] Batch [350] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.856953 | |
| INFO:root:Epoch[35] Batch [400] Speed: 265.34 samples/sec Train-accuracy=0.660547 | |
| INFO:root:Epoch[35] Batch [400] Speed: 265.34 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[35] Batch [450] Speed: 270.72 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[35] Batch [450] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[35] Batch [500] Speed: 276.92 samples/sec Train-accuracy=0.657578 | |
| INFO:root:Epoch[35] Batch [500] Speed: 276.92 samples/sec Train-top_k_accuracy_5=0.855313 | |
| INFO:root:Epoch[35] Batch [550] Speed: 270.91 samples/sec Train-accuracy=0.661406 | |
| INFO:root:Epoch[35] Batch [550] Speed: 270.91 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[35] Batch [600] Speed: 261.36 samples/sec Train-accuracy=0.653281 | |
| INFO:root:Epoch[35] Batch [600] Speed: 261.36 samples/sec Train-top_k_accuracy_5=0.850234 | |
| INFO:root:Epoch[35] Batch [650] Speed: 276.00 samples/sec Train-accuracy=0.653047 | |
| INFO:root:Epoch[35] Batch [650] Speed: 276.00 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[35] Batch [700] Speed: 269.22 samples/sec Train-accuracy=0.648906 | |
| INFO:root:Epoch[35] Batch [700] Speed: 269.22 samples/sec Train-top_k_accuracy_5=0.853594 | |
| INFO:root:Epoch[35] Batch [750] Speed: 270.27 samples/sec Train-accuracy=0.659297 | |
| INFO:root:Epoch[35] Batch [750] Speed: 270.27 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[35] Batch [800] Speed: 268.12 samples/sec Train-accuracy=0.650312 | |
| INFO:root:Epoch[35] Batch [800] Speed: 268.12 samples/sec Train-top_k_accuracy_5=0.847500 | |
| INFO:root:Epoch[35] Batch [850] Speed: 278.55 samples/sec Train-accuracy=0.653750 | |
| INFO:root:Epoch[35] Batch [850] Speed: 278.55 samples/sec Train-top_k_accuracy_5=0.849453 | |
| INFO:root:Epoch[35] Batch [900] Speed: 268.78 samples/sec Train-accuracy=0.657266 | |
| INFO:root:Epoch[35] Batch [900] Speed: 268.78 samples/sec Train-top_k_accuracy_5=0.853203 | |
| INFO:root:Epoch[35] Batch [950] Speed: 251.10 samples/sec Train-accuracy=0.650625 | |
| INFO:root:Epoch[35] Batch [950] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 259.16 samples/sec Train-accuracy=0.657969 | |
| INFO:root:Epoch[35] Batch [1000] Speed: 259.16 samples/sec Train-top_k_accuracy_5=0.857891 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 272.55 samples/sec Train-accuracy=0.656797 | |
| INFO:root:Epoch[35] Batch [1050] Speed: 272.55 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 263.96 samples/sec Train-accuracy=0.653984 | |
| INFO:root:Epoch[35] Batch [1100] Speed: 263.96 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 268.80 samples/sec Train-accuracy=0.651406 | |
| INFO:root:Epoch[35] Batch [1150] Speed: 268.80 samples/sec Train-top_k_accuracy_5=0.849766 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 260.68 samples/sec Train-accuracy=0.653281 | |
| INFO:root:Epoch[35] Batch [1200] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.852891 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 262.69 samples/sec Train-accuracy=0.652266 | |
| INFO:root:Epoch[35] Batch [1250] Speed: 262.69 samples/sec Train-top_k_accuracy_5=0.853828 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 271.19 samples/sec Train-accuracy=0.659141 | |
| INFO:root:Epoch[35] Batch [1300] Speed: 271.19 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 274.78 samples/sec Train-accuracy=0.659062 | |
| INFO:root:Epoch[35] Batch [1350] Speed: 274.78 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 267.85 samples/sec Train-accuracy=0.662344 | |
| INFO:root:Epoch[35] Batch [1400] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 263.70 samples/sec Train-accuracy=0.660156 | |
| INFO:root:Epoch[35] Batch [1450] Speed: 263.70 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 274.28 samples/sec Train-accuracy=0.662578 | |
| INFO:root:Epoch[35] Batch [1500] Speed: 274.28 samples/sec Train-top_k_accuracy_5=0.855234 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 268.16 samples/sec Train-accuracy=0.664844 | |
| INFO:root:Epoch[35] Batch [1550] Speed: 268.16 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 274.47 samples/sec Train-accuracy=0.660937 | |
| INFO:root:Epoch[35] Batch [1600] Speed: 274.47 samples/sec Train-top_k_accuracy_5=0.857656 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 267.78 samples/sec Train-accuracy=0.659609 | |
| INFO:root:Epoch[35] Batch [1650] Speed: 267.78 samples/sec Train-top_k_accuracy_5=0.855469 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 269.21 samples/sec Train-accuracy=0.653906 | |
| INFO:root:Epoch[35] Batch [1700] Speed: 269.21 samples/sec Train-top_k_accuracy_5=0.852422 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 265.97 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[35] Batch [1750] Speed: 265.97 samples/sec Train-top_k_accuracy_5=0.856406 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 270.08 samples/sec Train-accuracy=0.657031 | |
| INFO:root:Epoch[35] Batch [1800] Speed: 270.08 samples/sec Train-top_k_accuracy_5=0.857500 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 263.71 samples/sec Train-accuracy=0.658906 | |
| INFO:root:Epoch[35] Batch [1850] Speed: 263.71 samples/sec Train-top_k_accuracy_5=0.857344 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 269.57 samples/sec Train-accuracy=0.659062 | |
| INFO:root:Epoch[35] Batch [1900] Speed: 269.57 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 270.40 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[35] Batch [1950] Speed: 270.40 samples/sec Train-top_k_accuracy_5=0.852891 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 270.78 samples/sec Train-accuracy=0.658750 | |
| INFO:root:Epoch[35] Batch [2000] Speed: 270.78 samples/sec Train-top_k_accuracy_5=0.855469 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 267.91 samples/sec Train-accuracy=0.660469 | |
| INFO:root:Epoch[35] Batch [2050] Speed: 267.91 samples/sec Train-top_k_accuracy_5=0.852031 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 268.59 samples/sec Train-accuracy=0.661484 | |
| INFO:root:Epoch[35] Batch [2100] Speed: 268.59 samples/sec Train-top_k_accuracy_5=0.857422 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 270.84 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[35] Batch [2150] Speed: 270.84 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 271.78 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[35] Batch [2200] Speed: 271.78 samples/sec Train-top_k_accuracy_5=0.857344 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 264.45 samples/sec Train-accuracy=0.662813 | |
| INFO:root:Epoch[35] Batch [2250] Speed: 264.45 samples/sec Train-top_k_accuracy_5=0.858516 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 262.98 samples/sec Train-accuracy=0.659687 | |
| INFO:root:Epoch[35] Batch [2300] Speed: 262.98 samples/sec Train-top_k_accuracy_5=0.856406 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 265.93 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[35] Batch [2350] Speed: 265.93 samples/sec Train-top_k_accuracy_5=0.860078 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 256.88 samples/sec Train-accuracy=0.657656 | |
| INFO:root:Epoch[35] Batch [2400] Speed: 256.88 samples/sec Train-top_k_accuracy_5=0.854688 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 248.77 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[35] Batch [2450] Speed: 248.77 samples/sec Train-top_k_accuracy_5=0.853125 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 251.51 samples/sec Train-accuracy=0.661094 | |
| INFO:root:Epoch[35] Batch [2500] Speed: 251.51 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 259.33 samples/sec Train-accuracy=0.664219 | |
| INFO:root:Epoch[35] Batch [2550] Speed: 259.33 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 254.44 samples/sec Train-accuracy=0.658750 | |
| INFO:root:Epoch[35] Batch [2600] Speed: 254.44 samples/sec Train-top_k_accuracy_5=0.855313 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 270.12 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[35] Batch [2650] Speed: 270.12 samples/sec Train-top_k_accuracy_5=0.856875 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 262.80 samples/sec Train-accuracy=0.651719 | |
| INFO:root:Epoch[35] Batch [2700] Speed: 262.80 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 258.09 samples/sec Train-accuracy=0.656328 | |
| INFO:root:Epoch[35] Batch [2750] Speed: 258.09 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 262.11 samples/sec Train-accuracy=0.658438 | |
| INFO:root:Epoch[35] Batch [2800] Speed: 262.11 samples/sec Train-top_k_accuracy_5=0.854531 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 254.78 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[35] Batch [2850] Speed: 254.78 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 262.93 samples/sec Train-accuracy=0.657344 | |
| INFO:root:Epoch[35] Batch [2900] Speed: 262.93 samples/sec Train-top_k_accuracy_5=0.857422 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 246.21 samples/sec Train-accuracy=0.659297 | |
| INFO:root:Epoch[35] Batch [2950] Speed: 246.21 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 267.59 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[35] Batch [3000] Speed: 267.59 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 267.25 samples/sec Train-accuracy=0.661250 | |
| INFO:root:Epoch[35] Batch [3050] Speed: 267.25 samples/sec Train-top_k_accuracy_5=0.855391 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 266.49 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[35] Batch [3100] Speed: 266.49 samples/sec Train-top_k_accuracy_5=0.857812 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 259.41 samples/sec Train-accuracy=0.660312 | |
| INFO:root:Epoch[35] Batch [3150] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 259.09 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[35] Batch [3200] Speed: 259.09 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 245.08 samples/sec Train-accuracy=0.659375 | |
| INFO:root:Epoch[35] Batch [3250] Speed: 245.08 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 263.36 samples/sec Train-accuracy=0.664922 | |
| INFO:root:Epoch[35] Batch [3300] Speed: 263.36 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 260.83 samples/sec Train-accuracy=0.661875 | |
| INFO:root:Epoch[35] Batch [3350] Speed: 260.83 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 254.15 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[35] Batch [3400] Speed: 254.15 samples/sec Train-top_k_accuracy_5=0.858281 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 254.68 samples/sec Train-accuracy=0.660156 | |
| INFO:root:Epoch[35] Batch [3450] Speed: 254.68 samples/sec Train-top_k_accuracy_5=0.856563 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 252.34 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[35] Batch [3500] Speed: 252.34 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 264.40 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[35] Batch [3550] Speed: 264.40 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 245.98 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[35] Batch [3600] Speed: 245.98 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 256.98 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[35] Batch [3650] Speed: 256.98 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 261.13 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[35] Batch [3700] Speed: 261.13 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 262.54 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[35] Batch [3750] Speed: 262.54 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 261.85 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[35] Batch [3800] Speed: 261.85 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 262.74 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[35] Batch [3850] Speed: 262.74 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 258.58 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[35] Batch [3900] Speed: 258.58 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 260.22 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[35] Batch [3950] Speed: 260.22 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 271.32 samples/sec Train-accuracy=0.661016 | |
| INFO:root:Epoch[35] Batch [4000] Speed: 271.32 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 270.30 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[35] Batch [4050] Speed: 270.30 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 261.77 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[35] Batch [4100] Speed: 261.77 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 273.90 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[35] Batch [4150] Speed: 273.90 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 264.96 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[35] Batch [4200] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.858047 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 261.29 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[35] Batch [4250] Speed: 261.29 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 269.94 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[35] Batch [4300] Speed: 269.94 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 274.92 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[35] Batch [4350] Speed: 274.92 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 272.86 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[35] Batch [4400] Speed: 272.86 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 270.42 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[35] Batch [4450] Speed: 270.42 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 268.99 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[35] Batch [4500] Speed: 268.99 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 269.70 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[35] Batch [4550] Speed: 269.70 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 278.30 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[35] Batch [4600] Speed: 278.30 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 264.89 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[35] Batch [4650] Speed: 264.89 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 271.19 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[35] Batch [4700] Speed: 271.19 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 267.79 samples/sec Train-accuracy=0.661172 | |
| INFO:root:Epoch[35] Batch [4750] Speed: 267.79 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 262.16 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[35] Batch [4800] Speed: 262.16 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 250.96 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[35] Batch [4850] Speed: 250.96 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 249.90 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[35] Batch [4900] Speed: 249.90 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[35] Batch [4950] Speed: 243.01 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[35] Batch [4950] Speed: 243.01 samples/sec Train-top_k_accuracy_5=0.857656 | |
| INFO:root:Epoch[35] Batch [5000] Speed: 248.96 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[35] Batch [5000] Speed: 248.96 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[35] Resetting Data Iterator | |
| INFO:root:Epoch[35] Time cost=4844.430 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0036.params" | |
| INFO:root:Epoch[35] Validation-accuracy=0.707490 | |
| INFO:root:Epoch[35] Validation-top_k_accuracy_5=0.901307 | |
| INFO:root:Epoch[36] Batch [50] Speed: 284.98 samples/sec Train-accuracy=0.663438 | |
| INFO:root:Epoch[36] Batch [50] Speed: 284.98 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[36] Batch [100] Speed: 280.92 samples/sec Train-accuracy=0.656328 | |
| INFO:root:Epoch[36] Batch [100] Speed: 280.92 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[36] Batch [150] Speed: 281.95 samples/sec Train-accuracy=0.663281 | |
| INFO:root:Epoch[36] Batch [150] Speed: 281.95 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[36] Batch [200] Speed: 276.61 samples/sec Train-accuracy=0.656875 | |
| INFO:root:Epoch[36] Batch [200] Speed: 276.61 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[36] Batch [250] Speed: 266.10 samples/sec Train-accuracy=0.658359 | |
| INFO:root:Epoch[36] Batch [250] Speed: 266.10 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[36] Batch [300] Speed: 267.20 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[36] Batch [300] Speed: 267.20 samples/sec Train-top_k_accuracy_5=0.858594 | |
| INFO:root:Epoch[36] Batch [350] Speed: 259.29 samples/sec Train-accuracy=0.663594 | |
| INFO:root:Epoch[36] Batch [350] Speed: 259.29 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[36] Batch [400] Speed: 256.00 samples/sec Train-accuracy=0.659922 | |
| INFO:root:Epoch[36] Batch [400] Speed: 256.00 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[36] Batch [450] Speed: 270.70 samples/sec Train-accuracy=0.663125 | |
| INFO:root:Epoch[36] Batch [450] Speed: 270.70 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[36] Batch [500] Speed: 265.16 samples/sec Train-accuracy=0.654062 | |
| INFO:root:Epoch[36] Batch [500] Speed: 265.16 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[36] Batch [550] Speed: 244.52 samples/sec Train-accuracy=0.662734 | |
| INFO:root:Epoch[36] Batch [550] Speed: 244.52 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[36] Batch [600] Speed: 254.32 samples/sec Train-accuracy=0.657734 | |
| INFO:root:Epoch[36] Batch [600] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.850859 | |
| INFO:root:Epoch[36] Batch [650] Speed: 260.94 samples/sec Train-accuracy=0.654375 | |
| INFO:root:Epoch[36] Batch [650] Speed: 260.94 samples/sec Train-top_k_accuracy_5=0.854531 | |
| INFO:root:Epoch[36] Batch [700] Speed: 265.98 samples/sec Train-accuracy=0.654844 | |
| INFO:root:Epoch[36] Batch [700] Speed: 265.98 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[36] Batch [750] Speed: 266.84 samples/sec Train-accuracy=0.661719 | |
| INFO:root:Epoch[36] Batch [750] Speed: 266.84 samples/sec Train-top_k_accuracy_5=0.858125 | |
| INFO:root:Epoch[36] Batch [800] Speed: 259.85 samples/sec Train-accuracy=0.652031 | |
| INFO:root:Epoch[36] Batch [800] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.853516 | |
| INFO:root:Epoch[36] Batch [850] Speed: 243.36 samples/sec Train-accuracy=0.658047 | |
| INFO:root:Epoch[36] Batch [850] Speed: 243.36 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[36] Batch [900] Speed: 241.85 samples/sec Train-accuracy=0.656953 | |
| INFO:root:Epoch[36] Batch [900] Speed: 241.85 samples/sec Train-top_k_accuracy_5=0.857344 | |
| INFO:root:Epoch[36] Batch [950] Speed: 241.88 samples/sec Train-accuracy=0.659687 | |
| INFO:root:Epoch[36] Batch [950] Speed: 241.88 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 252.42 samples/sec Train-accuracy=0.662109 | |
| INFO:root:Epoch[36] Batch [1000] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 267.19 samples/sec Train-accuracy=0.660078 | |
| INFO:root:Epoch[36] Batch [1050] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 264.04 samples/sec Train-accuracy=0.661484 | |
| INFO:root:Epoch[36] Batch [1100] Speed: 264.04 samples/sec Train-top_k_accuracy_5=0.857422 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 261.05 samples/sec Train-accuracy=0.654531 | |
| INFO:root:Epoch[36] Batch [1150] Speed: 261.05 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 243.64 samples/sec Train-accuracy=0.659219 | |
| INFO:root:Epoch[36] Batch [1200] Speed: 243.64 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 261.16 samples/sec Train-accuracy=0.656563 | |
| INFO:root:Epoch[36] Batch [1250] Speed: 261.16 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 256.84 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[36] Batch [1300] Speed: 256.84 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 264.02 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[36] Batch [1350] Speed: 264.02 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 257.01 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[36] Batch [1400] Speed: 257.01 samples/sec Train-top_k_accuracy_5=0.854219 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 256.81 samples/sec Train-accuracy=0.659922 | |
| INFO:root:Epoch[36] Batch [1450] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 261.06 samples/sec Train-accuracy=0.655156 | |
| INFO:root:Epoch[36] Batch [1500] Speed: 261.06 samples/sec Train-top_k_accuracy_5=0.854062 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 249.34 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[36] Batch [1550] Speed: 249.34 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 254.48 samples/sec Train-accuracy=0.661016 | |
| INFO:root:Epoch[36] Batch [1600] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.857500 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 249.27 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[36] Batch [1650] Speed: 249.27 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 243.60 samples/sec Train-accuracy=0.656719 | |
| INFO:root:Epoch[36] Batch [1700] Speed: 243.60 samples/sec Train-top_k_accuracy_5=0.855000 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 258.82 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[36] Batch [1750] Speed: 258.82 samples/sec Train-top_k_accuracy_5=0.858281 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 252.24 samples/sec Train-accuracy=0.658438 | |
| INFO:root:Epoch[36] Batch [1800] Speed: 252.24 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 258.17 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[36] Batch [1850] Speed: 258.17 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 266.41 samples/sec Train-accuracy=0.661328 | |
| INFO:root:Epoch[36] Batch [1900] Speed: 266.41 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 260.43 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[36] Batch [1950] Speed: 260.43 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 252.45 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[36] Batch [2000] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.855938 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 246.69 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[36] Batch [2050] Speed: 246.69 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 262.43 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[36] Batch [2100] Speed: 262.43 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 264.73 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[36] Batch [2150] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 268.95 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[36] Batch [2200] Speed: 268.95 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 271.31 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[36] Batch [2250] Speed: 271.31 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 266.34 samples/sec Train-accuracy=0.660703 | |
| INFO:root:Epoch[36] Batch [2300] Speed: 266.34 samples/sec Train-top_k_accuracy_5=0.855078 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 270.30 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[36] Batch [2350] Speed: 270.30 samples/sec Train-top_k_accuracy_5=0.858516 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 274.39 samples/sec Train-accuracy=0.659844 | |
| INFO:root:Epoch[36] Batch [2400] Speed: 274.39 samples/sec Train-top_k_accuracy_5=0.851953 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 270.52 samples/sec Train-accuracy=0.659375 | |
| INFO:root:Epoch[36] Batch [2450] Speed: 270.52 samples/sec Train-top_k_accuracy_5=0.855313 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 266.12 samples/sec Train-accuracy=0.664844 | |
| INFO:root:Epoch[36] Batch [2500] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 271.63 samples/sec Train-accuracy=0.659297 | |
| INFO:root:Epoch[36] Batch [2550] Speed: 271.63 samples/sec Train-top_k_accuracy_5=0.859844 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 271.40 samples/sec Train-accuracy=0.663672 | |
| INFO:root:Epoch[36] Batch [2600] Speed: 271.40 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 261.41 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[36] Batch [2650] Speed: 261.41 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 274.14 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[36] Batch [2700] Speed: 274.14 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 272.67 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[36] Batch [2750] Speed: 272.67 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 268.92 samples/sec Train-accuracy=0.660859 | |
| INFO:root:Epoch[36] Batch [2800] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 262.05 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[36] Batch [2850] Speed: 262.05 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 259.76 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[36] Batch [2900] Speed: 259.76 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 272.46 samples/sec Train-accuracy=0.664844 | |
| INFO:root:Epoch[36] Batch [2950] Speed: 272.46 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 271.50 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[36] Batch [3000] Speed: 271.50 samples/sec Train-top_k_accuracy_5=0.856406 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 275.33 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[36] Batch [3050] Speed: 275.33 samples/sec Train-top_k_accuracy_5=0.856563 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 267.40 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[36] Batch [3100] Speed: 267.40 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 266.18 samples/sec Train-accuracy=0.658750 | |
| INFO:root:Epoch[36] Batch [3150] Speed: 266.18 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 267.24 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[36] Batch [3200] Speed: 267.24 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 270.72 samples/sec Train-accuracy=0.659844 | |
| INFO:root:Epoch[36] Batch [3250] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 268.84 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[36] Batch [3300] Speed: 268.84 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 265.84 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[36] Batch [3350] Speed: 265.84 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 270.97 samples/sec Train-accuracy=0.661719 | |
| INFO:root:Epoch[36] Batch [3400] Speed: 270.97 samples/sec Train-top_k_accuracy_5=0.856797 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 265.91 samples/sec Train-accuracy=0.661250 | |
| INFO:root:Epoch[36] Batch [3450] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.854844 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 264.14 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[36] Batch [3500] Speed: 264.14 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 261.97 samples/sec Train-accuracy=0.664297 | |
| INFO:root:Epoch[36] Batch [3550] Speed: 261.97 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 254.50 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[36] Batch [3600] Speed: 254.50 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 257.98 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[36] Batch [3650] Speed: 257.98 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 264.29 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[36] Batch [3700] Speed: 264.29 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 263.97 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[36] Batch [3750] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 267.23 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[36] Batch [3800] Speed: 267.23 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 272.36 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[36] Batch [3850] Speed: 272.36 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 263.69 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[36] Batch [3900] Speed: 263.69 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 260.88 samples/sec Train-accuracy=0.664609 | |
| INFO:root:Epoch[36] Batch [3950] Speed: 260.88 samples/sec Train-top_k_accuracy_5=0.860703 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 274.30 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[36] Batch [4000] Speed: 274.30 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 263.48 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[36] Batch [4050] Speed: 263.48 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 267.95 samples/sec Train-accuracy=0.662813 | |
| INFO:root:Epoch[36] Batch [4100] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 262.64 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[36] Batch [4150] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 260.16 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[36] Batch [4200] Speed: 260.16 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 264.48 samples/sec Train-accuracy=0.660859 | |
| INFO:root:Epoch[36] Batch [4250] Speed: 264.48 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 276.47 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[36] Batch [4300] Speed: 276.47 samples/sec Train-top_k_accuracy_5=0.870391 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 271.54 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[36] Batch [4350] Speed: 271.54 samples/sec Train-top_k_accuracy_5=0.856172 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 276.80 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[36] Batch [4400] Speed: 276.80 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 275.85 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[36] Batch [4450] Speed: 275.85 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 272.76 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[36] Batch [4500] Speed: 272.76 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 256.83 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[36] Batch [4550] Speed: 256.83 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 263.34 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[36] Batch [4600] Speed: 263.34 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 264.75 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[36] Batch [4650] Speed: 264.75 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 263.89 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[36] Batch [4700] Speed: 263.89 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 263.59 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[36] Batch [4750] Speed: 263.59 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 261.28 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[36] Batch [4800] Speed: 261.28 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 263.75 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[36] Batch [4850] Speed: 263.75 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 273.90 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[36] Batch [4900] Speed: 273.90 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[36] Batch [4950] Speed: 256.18 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[36] Batch [4950] Speed: 256.18 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[36] Batch [5000] Speed: 261.73 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[36] Batch [5000] Speed: 261.73 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[36] Resetting Data Iterator | |
| INFO:root:Epoch[36] Time cost=4863.680 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0037.params" | |
| INFO:root:Epoch[36] Validation-accuracy=0.708426 | |
| INFO:root:Epoch[36] Validation-top_k_accuracy_5=0.901706 | |
| INFO:root:Epoch[37] Batch [50] Speed: 282.30 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[37] Batch [50] Speed: 282.30 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[37] Batch [100] Speed: 277.48 samples/sec Train-accuracy=0.658281 | |
| INFO:root:Epoch[37] Batch [100] Speed: 277.48 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[37] Batch [150] Speed: 277.49 samples/sec Train-accuracy=0.658828 | |
| INFO:root:Epoch[37] Batch [150] Speed: 277.49 samples/sec Train-top_k_accuracy_5=0.855000 | |
| INFO:root:Epoch[37] Batch [200] Speed: 266.95 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[37] Batch [200] Speed: 266.95 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[37] Batch [250] Speed: 255.42 samples/sec Train-accuracy=0.654062 | |
| INFO:root:Epoch[37] Batch [250] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.856641 | |
| INFO:root:Epoch[37] Batch [300] Speed: 247.73 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[37] Batch [300] Speed: 247.73 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[37] Batch [350] Speed: 261.26 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[37] Batch [350] Speed: 261.26 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[37] Batch [400] Speed: 269.62 samples/sec Train-accuracy=0.663594 | |
| INFO:root:Epoch[37] Batch [400] Speed: 269.62 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[37] Batch [450] Speed: 267.98 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[37] Batch [450] Speed: 267.98 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[37] Batch [500] Speed: 270.10 samples/sec Train-accuracy=0.664609 | |
| INFO:root:Epoch[37] Batch [500] Speed: 270.10 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[37] Batch [550] Speed: 267.41 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[37] Batch [550] Speed: 267.41 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[37] Batch [600] Speed: 268.28 samples/sec Train-accuracy=0.659766 | |
| INFO:root:Epoch[37] Batch [600] Speed: 268.28 samples/sec Train-top_k_accuracy_5=0.856172 | |
| INFO:root:Epoch[37] Batch [650] Speed: 261.96 samples/sec Train-accuracy=0.657891 | |
| INFO:root:Epoch[37] Batch [650] Speed: 261.96 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[37] Batch [700] Speed: 266.87 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[37] Batch [700] Speed: 266.87 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[37] Batch [750] Speed: 256.02 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[37] Batch [750] Speed: 256.02 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[37] Batch [800] Speed: 254.53 samples/sec Train-accuracy=0.662188 | |
| INFO:root:Epoch[37] Batch [800] Speed: 254.53 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[37] Batch [850] Speed: 252.61 samples/sec Train-accuracy=0.659219 | |
| INFO:root:Epoch[37] Batch [850] Speed: 252.61 samples/sec Train-top_k_accuracy_5=0.854219 | |
| INFO:root:Epoch[37] Batch [900] Speed: 268.41 samples/sec Train-accuracy=0.660469 | |
| INFO:root:Epoch[37] Batch [900] Speed: 268.41 samples/sec Train-top_k_accuracy_5=0.852812 | |
| INFO:root:Epoch[37] Batch [950] Speed: 261.96 samples/sec Train-accuracy=0.661406 | |
| INFO:root:Epoch[37] Batch [950] Speed: 261.96 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 266.05 samples/sec Train-accuracy=0.656563 | |
| INFO:root:Epoch[37] Batch [1000] Speed: 266.05 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 253.35 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[37] Batch [1050] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 257.79 samples/sec Train-accuracy=0.666328 | |
| INFO:root:Epoch[37] Batch [1100] Speed: 257.79 samples/sec Train-top_k_accuracy_5=0.860234 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 248.89 samples/sec Train-accuracy=0.659922 | |
| INFO:root:Epoch[37] Batch [1150] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.858594 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 252.48 samples/sec Train-accuracy=0.660937 | |
| INFO:root:Epoch[37] Batch [1200] Speed: 252.48 samples/sec Train-top_k_accuracy_5=0.854531 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 259.91 samples/sec Train-accuracy=0.660234 | |
| INFO:root:Epoch[37] Batch [1250] Speed: 259.91 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 265.55 samples/sec Train-accuracy=0.663047 | |
| INFO:root:Epoch[37] Batch [1300] Speed: 265.55 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 263.51 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[37] Batch [1350] Speed: 263.51 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 256.32 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[37] Batch [1400] Speed: 256.32 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 258.38 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[37] Batch [1450] Speed: 258.38 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 268.72 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[37] Batch [1500] Speed: 268.72 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 276.58 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[37] Batch [1550] Speed: 276.58 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 270.06 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[37] Batch [1600] Speed: 270.06 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 272.97 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[37] Batch [1650] Speed: 272.97 samples/sec Train-top_k_accuracy_5=0.856719 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 273.60 samples/sec Train-accuracy=0.660312 | |
| INFO:root:Epoch[37] Batch [1700] Speed: 273.60 samples/sec Train-top_k_accuracy_5=0.859062 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 265.45 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[37] Batch [1750] Speed: 265.45 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 270.18 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[37] Batch [1800] Speed: 270.18 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 272.59 samples/sec Train-accuracy=0.658594 | |
| INFO:root:Epoch[37] Batch [1850] Speed: 272.59 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 265.82 samples/sec Train-accuracy=0.662578 | |
| INFO:root:Epoch[37] Batch [1900] Speed: 265.82 samples/sec Train-top_k_accuracy_5=0.859141 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 273.76 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[37] Batch [1950] Speed: 273.76 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 267.72 samples/sec Train-accuracy=0.663672 | |
| INFO:root:Epoch[37] Batch [2000] Speed: 267.72 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 265.25 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[37] Batch [2050] Speed: 265.25 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 270.85 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[37] Batch [2100] Speed: 270.85 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 273.53 samples/sec Train-accuracy=0.674609 | |
| INFO:root:Epoch[37] Batch [2150] Speed: 273.53 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 278.27 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[37] Batch [2200] Speed: 278.27 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 274.41 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[37] Batch [2250] Speed: 274.41 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 260.14 samples/sec Train-accuracy=0.659844 | |
| INFO:root:Epoch[37] Batch [2300] Speed: 260.14 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 272.73 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[37] Batch [2350] Speed: 272.73 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 276.31 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[37] Batch [2400] Speed: 276.31 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 267.30 samples/sec Train-accuracy=0.659844 | |
| INFO:root:Epoch[37] Batch [2450] Speed: 267.30 samples/sec Train-top_k_accuracy_5=0.851250 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 277.29 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[37] Batch [2500] Speed: 277.29 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 267.85 samples/sec Train-accuracy=0.662813 | |
| INFO:root:Epoch[37] Batch [2550] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 273.46 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[37] Batch [2600] Speed: 273.46 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 264.57 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[37] Batch [2650] Speed: 264.57 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 271.26 samples/sec Train-accuracy=0.663594 | |
| INFO:root:Epoch[37] Batch [2700] Speed: 271.26 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 269.98 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[37] Batch [2750] Speed: 269.98 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 273.82 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[37] Batch [2800] Speed: 273.82 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 263.42 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[37] Batch [2850] Speed: 263.42 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 251.38 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[37] Batch [2900] Speed: 251.38 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 265.87 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[37] Batch [2950] Speed: 265.87 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 256.02 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[37] Batch [3000] Speed: 256.02 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 247.40 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[37] Batch [3050] Speed: 247.40 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 239.54 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[37] Batch [3100] Speed: 239.54 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 261.19 samples/sec Train-accuracy=0.662734 | |
| INFO:root:Epoch[37] Batch [3150] Speed: 261.19 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 269.71 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[37] Batch [3200] Speed: 269.71 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 266.79 samples/sec Train-accuracy=0.657734 | |
| INFO:root:Epoch[37] Batch [3250] Speed: 266.79 samples/sec Train-top_k_accuracy_5=0.857891 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 250.38 samples/sec Train-accuracy=0.677422 | |
| INFO:root:Epoch[37] Batch [3300] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 261.86 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[37] Batch [3350] Speed: 261.86 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 255.88 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[37] Batch [3400] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 264.13 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[37] Batch [3450] Speed: 264.13 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 254.80 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[37] Batch [3500] Speed: 254.80 samples/sec Train-top_k_accuracy_5=0.857500 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 261.35 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[37] Batch [3550] Speed: 261.35 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 256.70 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[37] Batch [3600] Speed: 256.70 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 268.03 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[37] Batch [3650] Speed: 268.03 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 255.10 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[37] Batch [3700] Speed: 255.10 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 258.11 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[37] Batch [3750] Speed: 258.11 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 243.23 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[37] Batch [3800] Speed: 243.23 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 253.55 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[37] Batch [3850] Speed: 253.55 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 269.57 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[37] Batch [3900] Speed: 269.57 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 276.12 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[37] Batch [3950] Speed: 276.12 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 265.82 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[37] Batch [4000] Speed: 265.82 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 273.61 samples/sec Train-accuracy=0.675078 | |
| INFO:root:Epoch[37] Batch [4050] Speed: 273.61 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 269.63 samples/sec Train-accuracy=0.658516 | |
| INFO:root:Epoch[37] Batch [4100] Speed: 269.63 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 272.63 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[37] Batch [4150] Speed: 272.63 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 274.15 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[37] Batch [4200] Speed: 274.15 samples/sec Train-top_k_accuracy_5=0.860234 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 267.88 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[37] Batch [4250] Speed: 267.88 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 267.04 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[37] Batch [4300] Speed: 267.04 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 265.28 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[37] Batch [4350] Speed: 265.28 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 265.41 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[37] Batch [4400] Speed: 265.41 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 273.90 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[37] Batch [4450] Speed: 273.90 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 244.17 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[37] Batch [4500] Speed: 244.17 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 262.74 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[37] Batch [4550] Speed: 262.74 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 257.04 samples/sec Train-accuracy=0.680078 | |
| INFO:root:Epoch[37] Batch [4600] Speed: 257.04 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 264.04 samples/sec Train-accuracy=0.664297 | |
| INFO:root:Epoch[37] Batch [4650] Speed: 264.04 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 261.64 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[37] Batch [4700] Speed: 261.64 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 249.31 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[37] Batch [4750] Speed: 249.31 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 261.59 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[37] Batch [4800] Speed: 261.59 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 266.91 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[37] Batch [4850] Speed: 266.91 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 275.94 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[37] Batch [4900] Speed: 275.94 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[37] Batch [4950] Speed: 264.15 samples/sec Train-accuracy=0.664687 | |
| INFO:root:Epoch[37] Batch [4950] Speed: 264.15 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[37] Batch [5000] Speed: 270.97 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[37] Batch [5000] Speed: 270.97 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[37] Resetting Data Iterator | |
| INFO:root:Epoch[37] Time cost=4848.678 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0038.params" | |
| INFO:root:Epoch[37] Validation-accuracy=0.707569 | |
| INFO:root:Epoch[37] Validation-top_k_accuracy_5=0.901208 | |
| INFO:root:Epoch[38] Batch [50] Speed: 282.75 samples/sec Train-accuracy=0.663594 | |
| INFO:root:Epoch[38] Batch [50] Speed: 282.75 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[38] Batch [100] Speed: 278.77 samples/sec Train-accuracy=0.663281 | |
| INFO:root:Epoch[38] Batch [100] Speed: 278.77 samples/sec Train-top_k_accuracy_5=0.854375 | |
| INFO:root:Epoch[38] Batch [150] Speed: 277.98 samples/sec Train-accuracy=0.659219 | |
| INFO:root:Epoch[38] Batch [150] Speed: 277.98 samples/sec Train-top_k_accuracy_5=0.856484 | |
| INFO:root:Epoch[38] Batch [200] Speed: 277.48 samples/sec Train-accuracy=0.664375 | |
| INFO:root:Epoch[38] Batch [200] Speed: 277.48 samples/sec Train-top_k_accuracy_5=0.859062 | |
| INFO:root:Epoch[38] Batch [250] Speed: 275.76 samples/sec Train-accuracy=0.663516 | |
| INFO:root:Epoch[38] Batch [250] Speed: 275.76 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[38] Batch [300] Speed: 262.93 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[38] Batch [300] Speed: 262.93 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[38] Batch [350] Speed: 247.45 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[38] Batch [350] Speed: 247.45 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[38] Batch [400] Speed: 260.38 samples/sec Train-accuracy=0.662656 | |
| INFO:root:Epoch[38] Batch [400] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[38] Batch [450] Speed: 266.68 samples/sec Train-accuracy=0.661875 | |
| INFO:root:Epoch[38] Batch [450] Speed: 266.68 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[38] Batch [500] Speed: 274.88 samples/sec Train-accuracy=0.663750 | |
| INFO:root:Epoch[38] Batch [500] Speed: 274.88 samples/sec Train-top_k_accuracy_5=0.859844 | |
| INFO:root:Epoch[38] Batch [550] Speed: 266.22 samples/sec Train-accuracy=0.664687 | |
| INFO:root:Epoch[38] Batch [550] Speed: 266.22 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[38] Batch [600] Speed: 265.81 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[38] Batch [600] Speed: 265.81 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[38] Batch [650] Speed: 270.70 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[38] Batch [650] Speed: 270.70 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[38] Batch [700] Speed: 265.86 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[38] Batch [700] Speed: 265.86 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[38] Batch [750] Speed: 269.72 samples/sec Train-accuracy=0.660859 | |
| INFO:root:Epoch[38] Batch [750] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[38] Batch [800] Speed: 268.89 samples/sec Train-accuracy=0.661719 | |
| INFO:root:Epoch[38] Batch [800] Speed: 268.89 samples/sec Train-top_k_accuracy_5=0.855391 | |
| INFO:root:Epoch[38] Batch [850] Speed: 267.22 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[38] Batch [850] Speed: 267.22 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[38] Batch [900] Speed: 267.44 samples/sec Train-accuracy=0.653828 | |
| INFO:root:Epoch[38] Batch [900] Speed: 267.44 samples/sec Train-top_k_accuracy_5=0.858203 | |
| INFO:root:Epoch[38] Batch [950] Speed: 259.59 samples/sec Train-accuracy=0.661250 | |
| INFO:root:Epoch[38] Batch [950] Speed: 259.59 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 249.78 samples/sec Train-accuracy=0.661719 | |
| INFO:root:Epoch[38] Batch [1000] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 261.51 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[38] Batch [1050] Speed: 261.51 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 253.34 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[38] Batch [1100] Speed: 253.34 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 266.08 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[38] Batch [1150] Speed: 266.08 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 264.64 samples/sec Train-accuracy=0.660781 | |
| INFO:root:Epoch[38] Batch [1200] Speed: 264.64 samples/sec Train-top_k_accuracy_5=0.855391 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 266.46 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[38] Batch [1250] Speed: 266.46 samples/sec Train-top_k_accuracy_5=0.858516 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 256.41 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[38] Batch [1300] Speed: 256.41 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 255.88 samples/sec Train-accuracy=0.664297 | |
| INFO:root:Epoch[38] Batch [1350] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 256.42 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[38] Batch [1400] Speed: 256.42 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 241.70 samples/sec Train-accuracy=0.666484 | |
| INFO:root:Epoch[38] Batch [1450] Speed: 241.70 samples/sec Train-top_k_accuracy_5=0.856953 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 260.16 samples/sec Train-accuracy=0.666094 | |
| INFO:root:Epoch[38] Batch [1500] Speed: 260.16 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 257.19 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[38] Batch [1550] Speed: 257.19 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 263.56 samples/sec Train-accuracy=0.663125 | |
| INFO:root:Epoch[38] Batch [1600] Speed: 263.56 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 270.50 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[38] Batch [1650] Speed: 270.50 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 247.49 samples/sec Train-accuracy=0.657344 | |
| INFO:root:Epoch[38] Batch [1700] Speed: 247.49 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 249.25 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[38] Batch [1750] Speed: 249.25 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 256.38 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[38] Batch [1800] Speed: 256.38 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 254.41 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[38] Batch [1850] Speed: 254.41 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 255.94 samples/sec Train-accuracy=0.663516 | |
| INFO:root:Epoch[38] Batch [1900] Speed: 255.94 samples/sec Train-top_k_accuracy_5=0.852969 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 259.85 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[38] Batch [1950] Speed: 259.85 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 266.12 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[38] Batch [2000] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 264.95 samples/sec Train-accuracy=0.665078 | |
| INFO:root:Epoch[38] Batch [2050] Speed: 264.95 samples/sec Train-top_k_accuracy_5=0.856641 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 268.00 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[38] Batch [2100] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 270.18 samples/sec Train-accuracy=0.674297 | |
| INFO:root:Epoch[38] Batch [2150] Speed: 270.18 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 274.22 samples/sec Train-accuracy=0.675469 | |
| INFO:root:Epoch[38] Batch [2200] Speed: 274.22 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 256.15 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[38] Batch [2250] Speed: 256.15 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 254.88 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[38] Batch [2300] Speed: 254.88 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 254.99 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[38] Batch [2350] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 245.57 samples/sec Train-accuracy=0.660781 | |
| INFO:root:Epoch[38] Batch [2400] Speed: 245.57 samples/sec Train-top_k_accuracy_5=0.857187 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 250.00 samples/sec Train-accuracy=0.659766 | |
| INFO:root:Epoch[38] Batch [2450] Speed: 250.00 samples/sec Train-top_k_accuracy_5=0.855859 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 257.21 samples/sec Train-accuracy=0.664375 | |
| INFO:root:Epoch[38] Batch [2500] Speed: 257.21 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 265.19 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[38] Batch [2550] Speed: 265.19 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 264.40 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[38] Batch [2600] Speed: 264.40 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 265.75 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[38] Batch [2650] Speed: 265.75 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 257.09 samples/sec Train-accuracy=0.663203 | |
| INFO:root:Epoch[38] Batch [2700] Speed: 257.09 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 259.04 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[38] Batch [2750] Speed: 259.04 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 262.08 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[38] Batch [2800] Speed: 262.08 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 258.62 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[38] Batch [2850] Speed: 258.62 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 256.98 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[38] Batch [2900] Speed: 256.98 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 241.57 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[38] Batch [2950] Speed: 241.57 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 253.67 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[38] Batch [3000] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 253.46 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[38] Batch [3050] Speed: 253.46 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 261.35 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[38] Batch [3100] Speed: 261.35 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 253.74 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[38] Batch [3150] Speed: 253.74 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 262.01 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[38] Batch [3200] Speed: 262.01 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 270.86 samples/sec Train-accuracy=0.664609 | |
| INFO:root:Epoch[38] Batch [3250] Speed: 270.86 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 255.88 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[38] Batch [3300] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 263.76 samples/sec Train-accuracy=0.665781 | |
| INFO:root:Epoch[38] Batch [3350] Speed: 263.76 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 259.01 samples/sec Train-accuracy=0.678047 | |
| INFO:root:Epoch[38] Batch [3400] Speed: 259.01 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 260.53 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[38] Batch [3450] Speed: 260.53 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 268.06 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[38] Batch [3500] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 255.11 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[38] Batch [3550] Speed: 255.11 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 260.48 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[38] Batch [3600] Speed: 260.48 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 259.77 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[38] Batch [3650] Speed: 259.77 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 260.81 samples/sec Train-accuracy=0.677344 | |
| INFO:root:Epoch[38] Batch [3700] Speed: 260.81 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 250.10 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[38] Batch [3750] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 236.95 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[38] Batch [3800] Speed: 236.95 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 255.46 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[38] Batch [3850] Speed: 255.46 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 251.99 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[38] Batch [3900] Speed: 251.99 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 252.19 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[38] Batch [3950] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.858125 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 261.71 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[38] Batch [4000] Speed: 261.71 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 258.62 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[38] Batch [4050] Speed: 258.62 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 267.03 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[38] Batch [4100] Speed: 267.03 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 260.05 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[38] Batch [4150] Speed: 260.05 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 262.98 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[38] Batch [4200] Speed: 262.98 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 262.95 samples/sec Train-accuracy=0.678750 | |
| INFO:root:Epoch[38] Batch [4250] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 264.73 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[38] Batch [4300] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 268.44 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[38] Batch [4350] Speed: 268.44 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 271.25 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[38] Batch [4400] Speed: 271.25 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 255.08 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[38] Batch [4450] Speed: 255.08 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 262.15 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[38] Batch [4500] Speed: 262.15 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 265.38 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[38] Batch [4550] Speed: 265.38 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 262.39 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[38] Batch [4600] Speed: 262.39 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 261.79 samples/sec Train-accuracy=0.664375 | |
| INFO:root:Epoch[38] Batch [4650] Speed: 261.79 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 270.52 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[38] Batch [4700] Speed: 270.52 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 272.56 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[38] Batch [4750] Speed: 272.56 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 275.09 samples/sec Train-accuracy=0.678906 | |
| INFO:root:Epoch[38] Batch [4800] Speed: 275.09 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 264.04 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[38] Batch [4850] Speed: 264.04 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 272.03 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[38] Batch [4900] Speed: 272.03 samples/sec Train-top_k_accuracy_5=0.860078 | |
| INFO:root:Epoch[38] Batch [4950] Speed: 261.16 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[38] Batch [4950] Speed: 261.16 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[38] Batch [5000] Speed: 268.00 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[38] Batch [5000] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[38] Resetting Data Iterator | |
| INFO:root:Epoch[38] Time cost=4902.146 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0039.params" | |
| INFO:root:Epoch[38] Validation-accuracy=0.709682 | |
| INFO:root:Epoch[38] Validation-top_k_accuracy_5=0.903759 | |
| INFO:root:Epoch[39] Batch [50] Speed: 281.39 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[39] Batch [50] Speed: 281.39 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[39] Batch [100] Speed: 275.96 samples/sec Train-accuracy=0.666484 | |
| INFO:root:Epoch[39] Batch [100] Speed: 275.96 samples/sec Train-top_k_accuracy_5=0.859219 | |
| INFO:root:Epoch[39] Batch [150] Speed: 277.04 samples/sec Train-accuracy=0.659062 | |
| INFO:root:Epoch[39] Batch [150] Speed: 277.04 samples/sec Train-top_k_accuracy_5=0.855703 | |
| INFO:root:Epoch[39] Batch [200] Speed: 276.71 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[39] Batch [200] Speed: 276.71 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[39] Batch [250] Speed: 276.10 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[39] Batch [250] Speed: 276.10 samples/sec Train-top_k_accuracy_5=0.858516 | |
| INFO:root:Epoch[39] Batch [300] Speed: 276.69 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[39] Batch [300] Speed: 276.69 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[39] Batch [350] Speed: 276.91 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[39] Batch [350] Speed: 276.91 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[39] Batch [400] Speed: 277.22 samples/sec Train-accuracy=0.670469 | |
| INFO:root:Epoch[39] Batch [400] Speed: 277.22 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[39] Batch [450] Speed: 250.99 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[39] Batch [450] Speed: 250.99 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[39] Batch [500] Speed: 241.32 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[39] Batch [500] Speed: 241.32 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[39] Batch [550] Speed: 251.69 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[39] Batch [550] Speed: 251.69 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[39] Batch [600] Speed: 260.79 samples/sec Train-accuracy=0.665234 | |
| INFO:root:Epoch[39] Batch [600] Speed: 260.79 samples/sec Train-top_k_accuracy_5=0.858594 | |
| INFO:root:Epoch[39] Batch [650] Speed: 252.54 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[39] Batch [650] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[39] Batch [700] Speed: 263.41 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[39] Batch [700] Speed: 263.41 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[39] Batch [750] Speed: 263.98 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[39] Batch [750] Speed: 263.98 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[39] Batch [800] Speed: 275.26 samples/sec Train-accuracy=0.658516 | |
| INFO:root:Epoch[39] Batch [800] Speed: 275.26 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[39] Batch [850] Speed: 264.60 samples/sec Train-accuracy=0.660469 | |
| INFO:root:Epoch[39] Batch [850] Speed: 264.60 samples/sec Train-top_k_accuracy_5=0.857266 | |
| INFO:root:Epoch[39] Batch [900] Speed: 261.13 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[39] Batch [900] Speed: 261.13 samples/sec Train-top_k_accuracy_5=0.858281 | |
| INFO:root:Epoch[39] Batch [950] Speed: 266.50 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[39] Batch [950] Speed: 266.50 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 258.75 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[39] Batch [1000] Speed: 258.75 samples/sec Train-top_k_accuracy_5=0.858984 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 252.70 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[39] Batch [1050] Speed: 252.70 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 253.01 samples/sec Train-accuracy=0.666641 | |
| INFO:root:Epoch[39] Batch [1100] Speed: 253.01 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 265.39 samples/sec Train-accuracy=0.661172 | |
| INFO:root:Epoch[39] Batch [1150] Speed: 265.39 samples/sec Train-top_k_accuracy_5=0.859062 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 263.28 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[39] Batch [1200] Speed: 263.28 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 263.70 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[39] Batch [1250] Speed: 263.70 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 264.03 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[39] Batch [1300] Speed: 264.03 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 265.81 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[39] Batch [1350] Speed: 265.81 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 268.92 samples/sec Train-accuracy=0.666328 | |
| INFO:root:Epoch[39] Batch [1400] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 270.49 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[39] Batch [1450] Speed: 270.49 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 260.48 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[39] Batch [1500] Speed: 260.48 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 252.18 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[39] Batch [1550] Speed: 252.18 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 274.52 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[39] Batch [1600] Speed: 274.52 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 260.61 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[39] Batch [1650] Speed: 260.61 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 263.36 samples/sec Train-accuracy=0.660937 | |
| INFO:root:Epoch[39] Batch [1700] Speed: 263.36 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 256.26 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[39] Batch [1750] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.857031 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 249.94 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[39] Batch [1800] Speed: 249.94 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 264.38 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[39] Batch [1850] Speed: 264.38 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 241.35 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[39] Batch [1900] Speed: 241.35 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 249.84 samples/sec Train-accuracy=0.675625 | |
| INFO:root:Epoch[39] Batch [1950] Speed: 249.84 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 263.97 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[39] Batch [2000] Speed: 263.97 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 262.23 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[39] Batch [2050] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 270.21 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[39] Batch [2100] Speed: 270.21 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 267.61 samples/sec Train-accuracy=0.678750 | |
| INFO:root:Epoch[39] Batch [2150] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 265.28 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[39] Batch [2200] Speed: 265.28 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 263.02 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[39] Batch [2250] Speed: 263.02 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 254.65 samples/sec Train-accuracy=0.662656 | |
| INFO:root:Epoch[39] Batch [2300] Speed: 254.65 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 269.78 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[39] Batch [2350] Speed: 269.78 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 268.57 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[39] Batch [2400] Speed: 268.57 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 259.97 samples/sec Train-accuracy=0.663750 | |
| INFO:root:Epoch[39] Batch [2450] Speed: 259.97 samples/sec Train-top_k_accuracy_5=0.856641 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 259.41 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[39] Batch [2500] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 257.80 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[39] Batch [2550] Speed: 257.80 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 259.83 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[39] Batch [2600] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 262.23 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[39] Batch [2650] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 255.17 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[39] Batch [2700] Speed: 255.17 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 258.48 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[39] Batch [2750] Speed: 258.48 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 260.78 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[39] Batch [2800] Speed: 260.78 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 255.82 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[39] Batch [2850] Speed: 255.82 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 255.88 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[39] Batch [2900] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 265.05 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[39] Batch [2950] Speed: 265.05 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 251.73 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[39] Batch [3000] Speed: 251.73 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 252.06 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[39] Batch [3050] Speed: 252.06 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 240.88 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[39] Batch [3100] Speed: 240.88 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 242.96 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[39] Batch [3150] Speed: 242.96 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 256.13 samples/sec Train-accuracy=0.675703 | |
| INFO:root:Epoch[39] Batch [3200] Speed: 256.13 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 251.86 samples/sec Train-accuracy=0.665469 | |
| INFO:root:Epoch[39] Batch [3250] Speed: 251.86 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 264.73 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[39] Batch [3300] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 260.68 samples/sec Train-accuracy=0.673594 | |
| INFO:root:Epoch[39] Batch [3350] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 259.43 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[39] Batch [3400] Speed: 259.43 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 252.45 samples/sec Train-accuracy=0.664609 | |
| INFO:root:Epoch[39] Batch [3450] Speed: 252.45 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 272.74 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[39] Batch [3500] Speed: 272.74 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 261.69 samples/sec Train-accuracy=0.665781 | |
| INFO:root:Epoch[39] Batch [3550] Speed: 261.69 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 260.72 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[39] Batch [3600] Speed: 260.72 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 268.92 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[39] Batch [3650] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 266.31 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[39] Batch [3700] Speed: 266.31 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 266.17 samples/sec Train-accuracy=0.672656 | |
| INFO:root:Epoch[39] Batch [3750] Speed: 266.17 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 265.24 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[39] Batch [3800] Speed: 265.24 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 258.69 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[39] Batch [3850] Speed: 258.69 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 245.81 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[39] Batch [3900] Speed: 245.81 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 252.30 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[39] Batch [3950] Speed: 252.30 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 251.58 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[39] Batch [4000] Speed: 251.58 samples/sec Train-top_k_accuracy_5=0.859141 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 267.77 samples/sec Train-accuracy=0.679375 | |
| INFO:root:Epoch[39] Batch [4050] Speed: 267.77 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 270.69 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[39] Batch [4100] Speed: 270.69 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 266.29 samples/sec Train-accuracy=0.676719 | |
| INFO:root:Epoch[39] Batch [4150] Speed: 266.29 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 265.14 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[39] Batch [4200] Speed: 265.14 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 263.19 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[39] Batch [4250] Speed: 263.19 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 253.82 samples/sec Train-accuracy=0.681875 | |
| INFO:root:Epoch[39] Batch [4300] Speed: 253.82 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 250.40 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[39] Batch [4350] Speed: 250.40 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 263.21 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[39] Batch [4400] Speed: 263.21 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 259.36 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[39] Batch [4450] Speed: 259.36 samples/sec Train-top_k_accuracy_5=0.868984 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 255.58 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[39] Batch [4500] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 264.71 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[39] Batch [4550] Speed: 264.71 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 268.25 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[39] Batch [4600] Speed: 268.25 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 265.60 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[39] Batch [4650] Speed: 265.60 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 264.87 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[39] Batch [4700] Speed: 264.87 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 257.10 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[39] Batch [4750] Speed: 257.10 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 260.34 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[39] Batch [4800] Speed: 260.34 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 268.06 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[39] Batch [4850] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.871641 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 274.24 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[39] Batch [4900] Speed: 274.24 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[39] Batch [4950] Speed: 268.10 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[39] Batch [4950] Speed: 268.10 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[39] Batch [5000] Speed: 258.80 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[39] Batch [5000] Speed: 258.80 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[39] Resetting Data Iterator | |
| INFO:root:Epoch[39] Time cost=4901.513 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0040.params" | |
| INFO:root:Epoch[39] Validation-accuracy=0.708287 | |
| INFO:root:Epoch[39] Validation-top_k_accuracy_5=0.901148 | |
| INFO:root:Epoch[40] Batch [50] Speed: 285.62 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[40] Batch [50] Speed: 285.62 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[40] Batch [100] Speed: 281.39 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[40] Batch [100] Speed: 281.39 samples/sec Train-top_k_accuracy_5=0.857344 | |
| INFO:root:Epoch[40] Batch [150] Speed: 276.55 samples/sec Train-accuracy=0.664219 | |
| INFO:root:Epoch[40] Batch [150] Speed: 276.55 samples/sec Train-top_k_accuracy_5=0.856953 | |
| INFO:root:Epoch[40] Batch [200] Speed: 266.52 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[40] Batch [200] Speed: 266.52 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[40] Batch [250] Speed: 263.02 samples/sec Train-accuracy=0.663672 | |
| INFO:root:Epoch[40] Batch [250] Speed: 263.02 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[40] Batch [300] Speed: 266.27 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[40] Batch [300] Speed: 266.27 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[40] Batch [350] Speed: 270.26 samples/sec Train-accuracy=0.679609 | |
| INFO:root:Epoch[40] Batch [350] Speed: 270.26 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[40] Batch [400] Speed: 266.53 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[40] Batch [400] Speed: 266.53 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[40] Batch [450] Speed: 264.22 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[40] Batch [450] Speed: 264.22 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[40] Batch [500] Speed: 265.53 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[40] Batch [500] Speed: 265.53 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[40] Batch [550] Speed: 265.21 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[40] Batch [550] Speed: 265.21 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[40] Batch [600] Speed: 262.15 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[40] Batch [600] Speed: 262.15 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[40] Batch [650] Speed: 261.89 samples/sec Train-accuracy=0.664844 | |
| INFO:root:Epoch[40] Batch [650] Speed: 261.89 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[40] Batch [700] Speed: 264.13 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[40] Batch [700] Speed: 264.13 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[40] Batch [750] Speed: 258.91 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[40] Batch [750] Speed: 258.91 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[40] Batch [800] Speed: 250.67 samples/sec Train-accuracy=0.656484 | |
| INFO:root:Epoch[40] Batch [800] Speed: 250.67 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[40] Batch [850] Speed: 259.71 samples/sec Train-accuracy=0.660859 | |
| INFO:root:Epoch[40] Batch [850] Speed: 259.71 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[40] Batch [900] Speed: 261.50 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[40] Batch [900] Speed: 261.50 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[40] Batch [950] Speed: 264.17 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[40] Batch [950] Speed: 264.17 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 259.39 samples/sec Train-accuracy=0.661563 | |
| INFO:root:Epoch[40] Batch [1000] Speed: 259.39 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 256.89 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[40] Batch [1050] Speed: 256.89 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 264.48 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[40] Batch [1100] Speed: 264.48 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 267.20 samples/sec Train-accuracy=0.664687 | |
| INFO:root:Epoch[40] Batch [1150] Speed: 267.20 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 258.18 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[40] Batch [1200] Speed: 258.18 samples/sec Train-top_k_accuracy_5=0.856016 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 270.44 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[40] Batch [1250] Speed: 270.44 samples/sec Train-top_k_accuracy_5=0.859062 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 261.18 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[40] Batch [1300] Speed: 261.18 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 257.13 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[40] Batch [1350] Speed: 257.13 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 261.77 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[40] Batch [1400] Speed: 261.77 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 262.94 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[40] Batch [1450] Speed: 262.94 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 259.63 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[40] Batch [1500] Speed: 259.63 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 256.67 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[40] Batch [1550] Speed: 256.67 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 254.02 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[40] Batch [1600] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 272.66 samples/sec Train-accuracy=0.663672 | |
| INFO:root:Epoch[40] Batch [1650] Speed: 272.66 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 272.06 samples/sec Train-accuracy=0.659141 | |
| INFO:root:Epoch[40] Batch [1700] Speed: 272.06 samples/sec Train-top_k_accuracy_5=0.854531 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 269.13 samples/sec Train-accuracy=0.676797 | |
| INFO:root:Epoch[40] Batch [1750] Speed: 269.13 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 273.12 samples/sec Train-accuracy=0.666484 | |
| INFO:root:Epoch[40] Batch [1800] Speed: 273.12 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 274.30 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[40] Batch [1850] Speed: 274.30 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 271.00 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[40] Batch [1900] Speed: 271.00 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 276.39 samples/sec Train-accuracy=0.670469 | |
| INFO:root:Epoch[40] Batch [1950] Speed: 276.39 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 268.13 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[40] Batch [2000] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 273.30 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[40] Batch [2050] Speed: 273.30 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 273.30 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[40] Batch [2100] Speed: 273.30 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 268.65 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[40] Batch [2150] Speed: 268.65 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 266.27 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[40] Batch [2200] Speed: 266.27 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 263.32 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[40] Batch [2250] Speed: 263.32 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 266.48 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[40] Batch [2300] Speed: 266.48 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 276.41 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[40] Batch [2350] Speed: 276.41 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 273.10 samples/sec Train-accuracy=0.657266 | |
| INFO:root:Epoch[40] Batch [2400] Speed: 273.10 samples/sec Train-top_k_accuracy_5=0.857422 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 264.40 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[40] Batch [2450] Speed: 264.40 samples/sec Train-top_k_accuracy_5=0.853750 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 254.41 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[40] Batch [2500] Speed: 254.41 samples/sec Train-top_k_accuracy_5=0.856250 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 259.83 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[40] Batch [2550] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 258.85 samples/sec Train-accuracy=0.663203 | |
| INFO:root:Epoch[40] Batch [2600] Speed: 258.85 samples/sec Train-top_k_accuracy_5=0.859844 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 258.41 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[40] Batch [2650] Speed: 258.41 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 256.35 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[40] Batch [2700] Speed: 256.35 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 250.76 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[40] Batch [2750] Speed: 250.76 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 247.57 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[40] Batch [2800] Speed: 247.57 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 266.15 samples/sec Train-accuracy=0.673594 | |
| INFO:root:Epoch[40] Batch [2850] Speed: 266.15 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 261.36 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[40] Batch [2900] Speed: 261.36 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 255.96 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[40] Batch [2950] Speed: 255.96 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 255.48 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[40] Batch [3000] Speed: 255.48 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 261.86 samples/sec Train-accuracy=0.661953 | |
| INFO:root:Epoch[40] Batch [3050] Speed: 261.86 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 270.76 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[40] Batch [3100] Speed: 270.76 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 270.81 samples/sec Train-accuracy=0.674219 | |
| INFO:root:Epoch[40] Batch [3150] Speed: 270.81 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 261.43 samples/sec Train-accuracy=0.677813 | |
| INFO:root:Epoch[40] Batch [3200] Speed: 261.43 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 266.04 samples/sec Train-accuracy=0.666484 | |
| INFO:root:Epoch[40] Batch [3250] Speed: 266.04 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 271.83 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[40] Batch [3300] Speed: 271.83 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 267.51 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[40] Batch [3350] Speed: 267.51 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 275.09 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[40] Batch [3400] Speed: 275.09 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 266.26 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[40] Batch [3450] Speed: 266.26 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 241.21 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[40] Batch [3500] Speed: 241.21 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 235.21 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[40] Batch [3550] Speed: 235.21 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 255.78 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[40] Batch [3600] Speed: 255.78 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 263.24 samples/sec Train-accuracy=0.664531 | |
| INFO:root:Epoch[40] Batch [3650] Speed: 263.24 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 265.53 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[40] Batch [3700] Speed: 265.53 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 265.91 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[40] Batch [3750] Speed: 265.91 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 266.69 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[40] Batch [3800] Speed: 266.69 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 260.33 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[40] Batch [3850] Speed: 260.33 samples/sec Train-top_k_accuracy_5=0.870234 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 257.18 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[40] Batch [3900] Speed: 257.18 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 261.24 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[40] Batch [3950] Speed: 261.24 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 257.71 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[40] Batch [4000] Speed: 257.71 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 251.40 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[40] Batch [4050] Speed: 251.40 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 242.23 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[40] Batch [4100] Speed: 242.23 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 247.15 samples/sec Train-accuracy=0.678594 | |
| INFO:root:Epoch[40] Batch [4150] Speed: 247.15 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 263.91 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[40] Batch [4200] Speed: 263.91 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 249.14 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[40] Batch [4250] Speed: 249.14 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 254.54 samples/sec Train-accuracy=0.677734 | |
| INFO:root:Epoch[40] Batch [4300] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.869609 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 260.20 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[40] Batch [4350] Speed: 260.20 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 263.13 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[40] Batch [4400] Speed: 263.13 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 272.37 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[40] Batch [4450] Speed: 272.37 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 269.82 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[40] Batch [4500] Speed: 269.82 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 248.25 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[40] Batch [4550] Speed: 248.25 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 250.79 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[40] Batch [4600] Speed: 250.79 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 252.20 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[40] Batch [4650] Speed: 252.20 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 268.34 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[40] Batch [4700] Speed: 268.34 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 263.42 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[40] Batch [4750] Speed: 263.42 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 261.69 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[40] Batch [4800] Speed: 261.69 samples/sec Train-top_k_accuracy_5=0.868984 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 275.27 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[40] Batch [4850] Speed: 275.27 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 255.42 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[40] Batch [4900] Speed: 255.42 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[40] Batch [4950] Speed: 256.81 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[40] Batch [4950] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[40] Batch [5000] Speed: 261.92 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[40] Batch [5000] Speed: 261.92 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[40] Resetting Data Iterator | |
| INFO:root:Epoch[40] Time cost=4880.025 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0041.params" | |
| INFO:root:Epoch[40] Validation-accuracy=0.709184 | |
| INFO:root:Epoch[40] Validation-top_k_accuracy_5=0.903261 | |
| INFO:root:Epoch[41] Batch [50] Speed: 284.36 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[41] Batch [50] Speed: 284.36 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[41] Batch [100] Speed: 277.78 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[41] Batch [100] Speed: 277.78 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[41] Batch [150] Speed: 278.13 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[41] Batch [150] Speed: 278.13 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[41] Batch [200] Speed: 265.62 samples/sec Train-accuracy=0.662734 | |
| INFO:root:Epoch[41] Batch [200] Speed: 265.62 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[41] Batch [250] Speed: 264.00 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[41] Batch [250] Speed: 264.00 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[41] Batch [300] Speed: 261.77 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[41] Batch [300] Speed: 261.77 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[41] Batch [350] Speed: 266.20 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[41] Batch [350] Speed: 266.20 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[41] Batch [400] Speed: 265.29 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[41] Batch [400] Speed: 265.29 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[41] Batch [450] Speed: 265.58 samples/sec Train-accuracy=0.665234 | |
| INFO:root:Epoch[41] Batch [450] Speed: 265.58 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[41] Batch [500] Speed: 263.58 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[41] Batch [500] Speed: 263.58 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[41] Batch [550] Speed: 263.52 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[41] Batch [550] Speed: 263.52 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[41] Batch [600] Speed: 269.55 samples/sec Train-accuracy=0.663438 | |
| INFO:root:Epoch[41] Batch [600] Speed: 269.55 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[41] Batch [650] Speed: 270.08 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[41] Batch [650] Speed: 270.08 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[41] Batch [700] Speed: 257.95 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[41] Batch [700] Speed: 257.95 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[41] Batch [750] Speed: 254.80 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[41] Batch [750] Speed: 254.80 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[41] Batch [800] Speed: 257.77 samples/sec Train-accuracy=0.663125 | |
| INFO:root:Epoch[41] Batch [800] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.856563 | |
| INFO:root:Epoch[41] Batch [850] Speed: 242.23 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[41] Batch [850] Speed: 242.23 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[41] Batch [900] Speed: 260.71 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[41] Batch [900] Speed: 260.71 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[41] Batch [950] Speed: 255.86 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[41] Batch [950] Speed: 255.86 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 241.77 samples/sec Train-accuracy=0.656328 | |
| INFO:root:Epoch[41] Batch [1000] Speed: 241.77 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 252.95 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[41] Batch [1050] Speed: 252.95 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 258.48 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[41] Batch [1100] Speed: 258.48 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 251.64 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[41] Batch [1150] Speed: 251.64 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 260.13 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[41] Batch [1200] Speed: 260.13 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 249.92 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[41] Batch [1250] Speed: 249.92 samples/sec Train-top_k_accuracy_5=0.858594 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 256.93 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[41] Batch [1300] Speed: 256.93 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 254.92 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[41] Batch [1350] Speed: 254.92 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 263.11 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[41] Batch [1400] Speed: 263.11 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 266.54 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[41] Batch [1450] Speed: 266.54 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 272.54 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[41] Batch [1500] Speed: 272.54 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 265.12 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[41] Batch [1550] Speed: 265.12 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 264.75 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[41] Batch [1600] Speed: 264.75 samples/sec Train-top_k_accuracy_5=0.860078 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 270.83 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[41] Batch [1650] Speed: 270.83 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 276.75 samples/sec Train-accuracy=0.662266 | |
| INFO:root:Epoch[41] Batch [1700] Speed: 276.75 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 274.43 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[41] Batch [1750] Speed: 274.43 samples/sec Train-top_k_accuracy_5=0.860234 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 271.00 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[41] Batch [1800] Speed: 271.00 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 262.80 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[41] Batch [1850] Speed: 262.80 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 257.76 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[41] Batch [1900] Speed: 257.76 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 264.37 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[41] Batch [1950] Speed: 264.37 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 273.14 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[41] Batch [2000] Speed: 273.14 samples/sec Train-top_k_accuracy_5=0.858047 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 267.08 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[41] Batch [2050] Speed: 267.08 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 267.38 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[41] Batch [2100] Speed: 267.38 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 265.87 samples/sec Train-accuracy=0.675312 | |
| INFO:root:Epoch[41] Batch [2150] Speed: 265.87 samples/sec Train-top_k_accuracy_5=0.869609 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 269.92 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[41] Batch [2200] Speed: 269.92 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 266.40 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[41] Batch [2250] Speed: 266.40 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 277.21 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[41] Batch [2300] Speed: 277.21 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 269.02 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[41] Batch [2350] Speed: 269.02 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 276.11 samples/sec Train-accuracy=0.664297 | |
| INFO:root:Epoch[41] Batch [2400] Speed: 276.11 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 271.99 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[41] Batch [2450] Speed: 271.99 samples/sec Train-top_k_accuracy_5=0.858125 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 272.60 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[41] Batch [2500] Speed: 272.60 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 267.57 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[41] Batch [2550] Speed: 267.57 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 270.24 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[41] Batch [2600] Speed: 270.24 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 275.01 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[41] Batch [2650] Speed: 275.01 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 273.72 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[41] Batch [2700] Speed: 273.72 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 265.04 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[41] Batch [2750] Speed: 265.04 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 267.61 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[41] Batch [2800] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 261.38 samples/sec Train-accuracy=0.665469 | |
| INFO:root:Epoch[41] Batch [2850] Speed: 261.38 samples/sec Train-top_k_accuracy_5=0.859844 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 259.48 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[41] Batch [2900] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 255.87 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[41] Batch [2950] Speed: 255.87 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 246.47 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[41] Batch [3000] Speed: 246.47 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 253.92 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[41] Batch [3050] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 245.97 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[41] Batch [3100] Speed: 245.97 samples/sec Train-top_k_accuracy_5=0.869297 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 259.56 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[41] Batch [3150] Speed: 259.56 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 258.94 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[41] Batch [3200] Speed: 258.94 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 263.89 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[41] Batch [3250] Speed: 263.89 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 256.31 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[41] Batch [3300] Speed: 256.31 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 241.32 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[41] Batch [3350] Speed: 241.32 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 252.13 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[41] Batch [3400] Speed: 252.13 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 256.22 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[41] Batch [3450] Speed: 256.22 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 254.68 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[41] Batch [3500] Speed: 254.68 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 243.81 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[41] Batch [3550] Speed: 243.81 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 257.35 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[41] Batch [3600] Speed: 257.35 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 260.12 samples/sec Train-accuracy=0.677422 | |
| INFO:root:Epoch[41] Batch [3650] Speed: 260.12 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 267.50 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[41] Batch [3700] Speed: 267.50 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 253.15 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[41] Batch [3750] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 267.12 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[41] Batch [3800] Speed: 267.12 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 257.61 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[41] Batch [3850] Speed: 257.61 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 260.59 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[41] Batch [3900] Speed: 260.59 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 239.19 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[41] Batch [3950] Speed: 239.19 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 254.26 samples/sec Train-accuracy=0.665469 | |
| INFO:root:Epoch[41] Batch [4000] Speed: 254.26 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 249.96 samples/sec Train-accuracy=0.678125 | |
| INFO:root:Epoch[41] Batch [4050] Speed: 249.96 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 261.87 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[41] Batch [4100] Speed: 261.87 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 254.99 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[41] Batch [4150] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.873906 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 258.10 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[41] Batch [4200] Speed: 258.10 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 262.64 samples/sec Train-accuracy=0.678203 | |
| INFO:root:Epoch[41] Batch [4250] Speed: 262.64 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 270.94 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[41] Batch [4300] Speed: 270.94 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 267.55 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[41] Batch [4350] Speed: 267.55 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 268.29 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[41] Batch [4400] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 267.17 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[41] Batch [4450] Speed: 267.17 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 269.64 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[41] Batch [4500] Speed: 269.64 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 265.60 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[41] Batch [4550] Speed: 265.60 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 275.62 samples/sec Train-accuracy=0.679766 | |
| INFO:root:Epoch[41] Batch [4600] Speed: 275.62 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 265.82 samples/sec Train-accuracy=0.661406 | |
| INFO:root:Epoch[41] Batch [4650] Speed: 265.82 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 267.76 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[41] Batch [4700] Speed: 267.76 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 263.43 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[41] Batch [4750] Speed: 263.43 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 267.61 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[41] Batch [4800] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.869375 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 271.12 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[41] Batch [4850] Speed: 271.12 samples/sec Train-top_k_accuracy_5=0.868437 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 268.42 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[41] Batch [4900] Speed: 268.42 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[41] Batch [4950] Speed: 266.36 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[41] Batch [4950] Speed: 266.36 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[41] Batch [5000] Speed: 267.96 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[41] Batch [5000] Speed: 267.96 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[41] Resetting Data Iterator | |
| INFO:root:Epoch[41] Time cost=4878.851 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0042.params" | |
| INFO:root:Epoch[41] Validation-accuracy=0.705238 | |
| INFO:root:Epoch[41] Validation-top_k_accuracy_5=0.899414 | |
| INFO:root:Epoch[42] Batch [50] Speed: 282.57 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[42] Batch [50] Speed: 282.57 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[42] Batch [100] Speed: 277.17 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[42] Batch [100] Speed: 277.17 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[42] Batch [150] Speed: 277.50 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[42] Batch [150] Speed: 277.50 samples/sec Train-top_k_accuracy_5=0.857734 | |
| INFO:root:Epoch[42] Batch [200] Speed: 272.21 samples/sec Train-accuracy=0.665703 | |
| INFO:root:Epoch[42] Batch [200] Speed: 272.21 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[42] Batch [250] Speed: 262.36 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[42] Batch [250] Speed: 262.36 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[42] Batch [300] Speed: 268.06 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[42] Batch [300] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[42] Batch [350] Speed: 270.28 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[42] Batch [350] Speed: 270.28 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[42] Batch [400] Speed: 258.19 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[42] Batch [400] Speed: 258.19 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[42] Batch [450] Speed: 267.80 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[42] Batch [450] Speed: 267.80 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[42] Batch [500] Speed: 259.70 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[42] Batch [500] Speed: 259.70 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[42] Batch [550] Speed: 239.34 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[42] Batch [550] Speed: 239.34 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[42] Batch [600] Speed: 246.22 samples/sec Train-accuracy=0.662188 | |
| INFO:root:Epoch[42] Batch [600] Speed: 246.22 samples/sec Train-top_k_accuracy_5=0.857500 | |
| INFO:root:Epoch[42] Batch [650] Speed: 269.15 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[42] Batch [650] Speed: 269.15 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[42] Batch [700] Speed: 260.92 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[42] Batch [700] Speed: 260.92 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[42] Batch [750] Speed: 254.32 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[42] Batch [750] Speed: 254.32 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[42] Batch [800] Speed: 268.29 samples/sec Train-accuracy=0.661797 | |
| INFO:root:Epoch[42] Batch [800] Speed: 268.29 samples/sec Train-top_k_accuracy_5=0.856563 | |
| INFO:root:Epoch[42] Batch [850] Speed: 252.15 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[42] Batch [850] Speed: 252.15 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[42] Batch [900] Speed: 268.55 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[42] Batch [900] Speed: 268.55 samples/sec Train-top_k_accuracy_5=0.860156 | |
| INFO:root:Epoch[42] Batch [950] Speed: 257.93 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[42] Batch [950] Speed: 257.93 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 249.97 samples/sec Train-accuracy=0.663125 | |
| INFO:root:Epoch[42] Batch [1000] Speed: 249.97 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 239.50 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[42] Batch [1050] Speed: 239.50 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 250.06 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[42] Batch [1100] Speed: 250.06 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 256.81 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[42] Batch [1150] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.858203 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 257.24 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[42] Batch [1200] Speed: 257.24 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 268.61 samples/sec Train-accuracy=0.664062 | |
| INFO:root:Epoch[42] Batch [1250] Speed: 268.61 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 261.07 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[42] Batch [1300] Speed: 261.07 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 277.86 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[42] Batch [1350] Speed: 277.86 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 260.15 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[42] Batch [1400] Speed: 260.15 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 267.36 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[42] Batch [1450] Speed: 267.36 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 267.64 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[42] Batch [1500] Speed: 267.64 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 273.98 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[42] Batch [1550] Speed: 273.98 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 258.11 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[42] Batch [1600] Speed: 258.11 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 261.47 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[42] Batch [1650] Speed: 261.47 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 268.44 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[42] Batch [1700] Speed: 268.44 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 265.40 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[42] Batch [1750] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 262.01 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[42] Batch [1800] Speed: 262.01 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 274.06 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[42] Batch [1850] Speed: 274.06 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 272.24 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[42] Batch [1900] Speed: 272.24 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 276.60 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[42] Batch [1950] Speed: 276.60 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 277.42 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[42] Batch [2000] Speed: 277.42 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 272.77 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[42] Batch [2050] Speed: 272.77 samples/sec Train-top_k_accuracy_5=0.857578 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 274.18 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[42] Batch [2100] Speed: 274.18 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 274.78 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[42] Batch [2150] Speed: 274.78 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 263.08 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[42] Batch [2200] Speed: 263.08 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 273.30 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[42] Batch [2250] Speed: 273.30 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 276.51 samples/sec Train-accuracy=0.664219 | |
| INFO:root:Epoch[42] Batch [2300] Speed: 276.51 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 262.21 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[42] Batch [2350] Speed: 262.21 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 258.58 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[42] Batch [2400] Speed: 258.58 samples/sec Train-top_k_accuracy_5=0.857812 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 275.41 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[42] Batch [2450] Speed: 275.41 samples/sec Train-top_k_accuracy_5=0.855156 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 260.56 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[42] Batch [2500] Speed: 260.56 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 269.62 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[42] Batch [2550] Speed: 269.62 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 267.85 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[42] Batch [2600] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 271.35 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[42] Batch [2650] Speed: 271.35 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 259.86 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[42] Batch [2700] Speed: 259.86 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 245.69 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[42] Batch [2750] Speed: 245.69 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 256.87 samples/sec Train-accuracy=0.666641 | |
| INFO:root:Epoch[42] Batch [2800] Speed: 256.87 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 271.70 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[42] Batch [2850] Speed: 271.70 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 264.80 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[42] Batch [2900] Speed: 264.80 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 261.25 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[42] Batch [2950] Speed: 261.25 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 269.48 samples/sec Train-accuracy=0.666094 | |
| INFO:root:Epoch[42] Batch [3000] Speed: 269.48 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 267.85 samples/sec Train-accuracy=0.670469 | |
| INFO:root:Epoch[42] Batch [3050] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 252.88 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[42] Batch [3100] Speed: 252.88 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 255.54 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[42] Batch [3150] Speed: 255.54 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 255.95 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[42] Batch [3200] Speed: 255.95 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 262.98 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[42] Batch [3250] Speed: 262.98 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 263.77 samples/sec Train-accuracy=0.670469 | |
| INFO:root:Epoch[42] Batch [3300] Speed: 263.77 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 253.88 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[42] Batch [3350] Speed: 253.88 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 261.22 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[42] Batch [3400] Speed: 261.22 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 269.58 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[42] Batch [3450] Speed: 269.58 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 261.96 samples/sec Train-accuracy=0.674687 | |
| INFO:root:Epoch[42] Batch [3500] Speed: 261.96 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 259.48 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[42] Batch [3550] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 264.23 samples/sec Train-accuracy=0.678203 | |
| INFO:root:Epoch[42] Batch [3600] Speed: 264.23 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 264.61 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[42] Batch [3650] Speed: 264.61 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 263.11 samples/sec Train-accuracy=0.675781 | |
| INFO:root:Epoch[42] Batch [3700] Speed: 263.11 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 263.05 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[42] Batch [3750] Speed: 263.05 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 255.75 samples/sec Train-accuracy=0.674531 | |
| INFO:root:Epoch[42] Batch [3800] Speed: 255.75 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 261.87 samples/sec Train-accuracy=0.677344 | |
| INFO:root:Epoch[42] Batch [3850] Speed: 261.87 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 271.09 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[42] Batch [3900] Speed: 271.09 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 260.37 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[42] Batch [3950] Speed: 260.37 samples/sec Train-top_k_accuracy_5=0.860703 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 267.19 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[42] Batch [4000] Speed: 267.19 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 266.43 samples/sec Train-accuracy=0.674219 | |
| INFO:root:Epoch[42] Batch [4050] Speed: 266.43 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 268.85 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[42] Batch [4100] Speed: 268.85 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 259.43 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[42] Batch [4150] Speed: 259.43 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 269.33 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[42] Batch [4200] Speed: 269.33 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 267.93 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[42] Batch [4250] Speed: 267.93 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 259.44 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[42] Batch [4300] Speed: 259.44 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 261.54 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[42] Batch [4350] Speed: 261.54 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 253.92 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[42] Batch [4400] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 257.21 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[42] Batch [4450] Speed: 257.21 samples/sec Train-top_k_accuracy_5=0.869687 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 264.10 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[42] Batch [4500] Speed: 264.10 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 270.53 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[42] Batch [4550] Speed: 270.53 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 277.08 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[42] Batch [4600] Speed: 277.08 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 271.61 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[42] Batch [4650] Speed: 271.61 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 268.51 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[42] Batch [4700] Speed: 268.51 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 275.83 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[42] Batch [4750] Speed: 275.83 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 261.82 samples/sec Train-accuracy=0.680469 | |
| INFO:root:Epoch[42] Batch [4800] Speed: 261.82 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 275.92 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[42] Batch [4850] Speed: 275.92 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 271.90 samples/sec Train-accuracy=0.667578 | |
| INFO:root:Epoch[42] Batch [4900] Speed: 271.90 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[42] Batch [4950] Speed: 269.39 samples/sec Train-accuracy=0.664219 | |
| INFO:root:Epoch[42] Batch [4950] Speed: 269.39 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[42] Batch [5000] Speed: 268.26 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[42] Batch [5000] Speed: 268.26 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[42] Resetting Data Iterator | |
| INFO:root:Epoch[42] Time cost=4847.167 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0043.params" | |
| INFO:root:Epoch[42] Validation-accuracy=0.711715 | |
| INFO:root:Epoch[42] Validation-top_k_accuracy_5=0.903639 | |
| INFO:root:Epoch[43] Batch [50] Speed: 284.61 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[43] Batch [50] Speed: 284.61 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[43] Batch [100] Speed: 276.70 samples/sec Train-accuracy=0.663750 | |
| INFO:root:Epoch[43] Batch [100] Speed: 276.70 samples/sec Train-top_k_accuracy_5=0.858281 | |
| INFO:root:Epoch[43] Batch [150] Speed: 277.23 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[43] Batch [150] Speed: 277.23 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[43] Batch [200] Speed: 276.38 samples/sec Train-accuracy=0.666328 | |
| INFO:root:Epoch[43] Batch [200] Speed: 276.38 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[43] Batch [250] Speed: 276.35 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[43] Batch [250] Speed: 276.35 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[43] Batch [300] Speed: 275.63 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[43] Batch [300] Speed: 275.63 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[43] Batch [350] Speed: 278.50 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[43] Batch [350] Speed: 278.50 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[43] Batch [400] Speed: 277.73 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[43] Batch [400] Speed: 277.73 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[43] Batch [450] Speed: 272.74 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[43] Batch [450] Speed: 272.74 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[43] Batch [500] Speed: 263.45 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[43] Batch [500] Speed: 263.45 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[43] Batch [550] Speed: 261.92 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[43] Batch [550] Speed: 261.92 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[43] Batch [600] Speed: 259.32 samples/sec Train-accuracy=0.664687 | |
| INFO:root:Epoch[43] Batch [600] Speed: 259.32 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[43] Batch [650] Speed: 239.85 samples/sec Train-accuracy=0.659531 | |
| INFO:root:Epoch[43] Batch [650] Speed: 239.85 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[43] Batch [700] Speed: 251.10 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[43] Batch [700] Speed: 251.10 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[43] Batch [750] Speed: 247.92 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[43] Batch [750] Speed: 247.92 samples/sec Train-top_k_accuracy_5=0.871641 | |
| INFO:root:Epoch[43] Batch [800] Speed: 261.88 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[43] Batch [800] Speed: 261.88 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[43] Batch [850] Speed: 260.86 samples/sec Train-accuracy=0.663906 | |
| INFO:root:Epoch[43] Batch [850] Speed: 260.86 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[43] Batch [900] Speed: 253.10 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[43] Batch [900] Speed: 253.10 samples/sec Train-top_k_accuracy_5=0.858672 | |
| INFO:root:Epoch[43] Batch [950] Speed: 269.96 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[43] Batch [950] Speed: 269.96 samples/sec Train-top_k_accuracy_5=0.868203 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 267.62 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[43] Batch [1000] Speed: 267.62 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 272.59 samples/sec Train-accuracy=0.674687 | |
| INFO:root:Epoch[43] Batch [1050] Speed: 272.59 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 264.33 samples/sec Train-accuracy=0.674219 | |
| INFO:root:Epoch[43] Batch [1100] Speed: 264.33 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 269.90 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[43] Batch [1150] Speed: 269.90 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 265.04 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[43] Batch [1200] Speed: 265.04 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 267.31 samples/sec Train-accuracy=0.672656 | |
| INFO:root:Epoch[43] Batch [1250] Speed: 267.31 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 267.85 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[43] Batch [1300] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 268.25 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[43] Batch [1350] Speed: 268.25 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 266.06 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[43] Batch [1400] Speed: 266.06 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 272.07 samples/sec Train-accuracy=0.666406 | |
| INFO:root:Epoch[43] Batch [1450] Speed: 272.07 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 266.98 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[43] Batch [1500] Speed: 266.98 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 271.62 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[43] Batch [1550] Speed: 271.62 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 269.28 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[43] Batch [1600] Speed: 269.28 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 274.67 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[43] Batch [1650] Speed: 274.67 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 260.87 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[43] Batch [1700] Speed: 260.87 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 264.17 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[43] Batch [1750] Speed: 264.17 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 266.00 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[43] Batch [1800] Speed: 266.00 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 258.11 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[43] Batch [1850] Speed: 258.11 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 248.71 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[43] Batch [1900] Speed: 248.71 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 263.47 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[43] Batch [1950] Speed: 263.47 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 258.00 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[43] Batch [2000] Speed: 258.00 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 256.38 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[43] Batch [2050] Speed: 256.38 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 249.61 samples/sec Train-accuracy=0.680078 | |
| INFO:root:Epoch[43] Batch [2100] Speed: 249.61 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 249.34 samples/sec Train-accuracy=0.674687 | |
| INFO:root:Epoch[43] Batch [2150] Speed: 249.34 samples/sec Train-top_k_accuracy_5=0.870859 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 259.08 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[43] Batch [2200] Speed: 259.08 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 258.75 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[43] Batch [2250] Speed: 258.75 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 259.46 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[43] Batch [2300] Speed: 259.46 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 270.82 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[43] Batch [2350] Speed: 270.82 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 266.31 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[43] Batch [2400] Speed: 266.31 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 252.42 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[43] Batch [2450] Speed: 252.42 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 246.20 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[43] Batch [2500] Speed: 246.20 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 262.73 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[43] Batch [2550] Speed: 262.73 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 260.97 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[43] Batch [2600] Speed: 260.97 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 249.77 samples/sec Train-accuracy=0.678672 | |
| INFO:root:Epoch[43] Batch [2650] Speed: 249.77 samples/sec Train-top_k_accuracy_5=0.870781 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 246.24 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[43] Batch [2700] Speed: 246.24 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 249.78 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[43] Batch [2750] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 238.59 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[43] Batch [2800] Speed: 238.59 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 253.99 samples/sec Train-accuracy=0.675469 | |
| INFO:root:Epoch[43] Batch [2850] Speed: 253.99 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 265.48 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[43] Batch [2900] Speed: 265.48 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 267.86 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[43] Batch [2950] Speed: 267.86 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 253.76 samples/sec Train-accuracy=0.662969 | |
| INFO:root:Epoch[43] Batch [3000] Speed: 253.76 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 250.35 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[43] Batch [3050] Speed: 250.35 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 254.36 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[43] Batch [3100] Speed: 254.36 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 253.35 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[43] Batch [3150] Speed: 253.35 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 262.56 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[43] Batch [3200] Speed: 262.56 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 266.09 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[43] Batch [3250] Speed: 266.09 samples/sec Train-top_k_accuracy_5=0.861328 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 264.64 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[43] Batch [3300] Speed: 264.64 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 264.34 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[43] Batch [3350] Speed: 264.34 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 271.19 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[43] Batch [3400] Speed: 271.19 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 274.52 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[43] Batch [3450] Speed: 274.52 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 261.33 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[43] Batch [3500] Speed: 261.33 samples/sec Train-top_k_accuracy_5=0.868359 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 268.08 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[43] Batch [3550] Speed: 268.08 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 258.54 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[43] Batch [3600] Speed: 258.54 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 254.84 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[43] Batch [3650] Speed: 254.84 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 262.09 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[43] Batch [3700] Speed: 262.09 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 253.36 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[43] Batch [3750] Speed: 253.36 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 251.08 samples/sec Train-accuracy=0.678203 | |
| INFO:root:Epoch[43] Batch [3800] Speed: 251.08 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 256.18 samples/sec Train-accuracy=0.680312 | |
| INFO:root:Epoch[43] Batch [3850] Speed: 256.18 samples/sec Train-top_k_accuracy_5=0.871250 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 257.44 samples/sec Train-accuracy=0.676250 | |
| INFO:root:Epoch[43] Batch [3900] Speed: 257.44 samples/sec Train-top_k_accuracy_5=0.872812 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 251.75 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[43] Batch [3950] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 253.18 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[43] Batch [4000] Speed: 253.18 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 268.13 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[43] Batch [4050] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.869297 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 262.78 samples/sec Train-accuracy=0.678750 | |
| INFO:root:Epoch[43] Batch [4100] Speed: 262.78 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 270.72 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[43] Batch [4150] Speed: 270.72 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 269.72 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[43] Batch [4200] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 265.95 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[43] Batch [4250] Speed: 265.95 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 261.14 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[43] Batch [4300] Speed: 261.14 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 265.94 samples/sec Train-accuracy=0.664375 | |
| INFO:root:Epoch[43] Batch [4350] Speed: 265.94 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 258.43 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[43] Batch [4400] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 272.00 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[43] Batch [4450] Speed: 272.00 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 271.09 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[43] Batch [4500] Speed: 271.09 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 268.09 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[43] Batch [4550] Speed: 268.09 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 262.65 samples/sec Train-accuracy=0.680625 | |
| INFO:root:Epoch[43] Batch [4600] Speed: 262.65 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 251.88 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[43] Batch [4650] Speed: 251.88 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 258.64 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[43] Batch [4700] Speed: 258.64 samples/sec Train-top_k_accuracy_5=0.869766 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 268.92 samples/sec Train-accuracy=0.665234 | |
| INFO:root:Epoch[43] Batch [4750] Speed: 268.92 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 264.51 samples/sec Train-accuracy=0.678828 | |
| INFO:root:Epoch[43] Batch [4800] Speed: 264.51 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 268.13 samples/sec Train-accuracy=0.675312 | |
| INFO:root:Epoch[43] Batch [4850] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 263.82 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[43] Batch [4900] Speed: 263.82 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[43] Batch [4950] Speed: 271.12 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[43] Batch [4950] Speed: 271.12 samples/sec Train-top_k_accuracy_5=0.858281 | |
| INFO:root:Epoch[43] Batch [5000] Speed: 259.55 samples/sec Train-accuracy=0.678984 | |
| INFO:root:Epoch[43] Batch [5000] Speed: 259.55 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[43] Resetting Data Iterator | |
| INFO:root:Epoch[43] Time cost=4885.189 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0044.params" | |
| INFO:root:Epoch[43] Validation-accuracy=0.705636 | |
| INFO:root:Epoch[43] Validation-top_k_accuracy_5=0.899593 | |
| INFO:root:Epoch[44] Batch [50] Speed: 284.05 samples/sec Train-accuracy=0.676484 | |
| INFO:root:Epoch[44] Batch [50] Speed: 284.05 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[44] Batch [100] Speed: 276.82 samples/sec Train-accuracy=0.663516 | |
| INFO:root:Epoch[44] Batch [100] Speed: 276.82 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[44] Batch [150] Speed: 278.33 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[44] Batch [150] Speed: 278.33 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[44] Batch [200] Speed: 277.85 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[44] Batch [200] Speed: 277.85 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[44] Batch [250] Speed: 277.71 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[44] Batch [250] Speed: 277.71 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[44] Batch [300] Speed: 278.65 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[44] Batch [300] Speed: 278.65 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[44] Batch [350] Speed: 279.33 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[44] Batch [350] Speed: 279.33 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[44] Batch [400] Speed: 277.69 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[44] Batch [400] Speed: 277.69 samples/sec Train-top_k_accuracy_5=0.871953 | |
| INFO:root:Epoch[44] Batch [450] Speed: 275.21 samples/sec Train-accuracy=0.665234 | |
| INFO:root:Epoch[44] Batch [450] Speed: 275.21 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[44] Batch [500] Speed: 278.32 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[44] Batch [500] Speed: 278.32 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[44] Batch [550] Speed: 278.15 samples/sec Train-accuracy=0.673125 | |
| INFO:root:Epoch[44] Batch [550] Speed: 278.15 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[44] Batch [600] Speed: 266.20 samples/sec Train-accuracy=0.664219 | |
| INFO:root:Epoch[44] Batch [600] Speed: 266.20 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[44] Batch [650] Speed: 268.13 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[44] Batch [650] Speed: 268.13 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[44] Batch [700] Speed: 272.96 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[44] Batch [700] Speed: 272.96 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[44] Batch [750] Speed: 279.47 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[44] Batch [750] Speed: 279.47 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[44] Batch [800] Speed: 266.43 samples/sec Train-accuracy=0.663047 | |
| INFO:root:Epoch[44] Batch [800] Speed: 266.43 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[44] Batch [850] Speed: 269.64 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[44] Batch [850] Speed: 269.64 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[44] Batch [900] Speed: 273.66 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[44] Batch [900] Speed: 273.66 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[44] Batch [950] Speed: 267.47 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[44] Batch [950] Speed: 267.47 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 268.41 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[44] Batch [1000] Speed: 268.41 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 267.82 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[44] Batch [1050] Speed: 267.82 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 268.65 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[44] Batch [1100] Speed: 268.65 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 268.67 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[44] Batch [1150] Speed: 268.67 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 265.34 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[44] Batch [1200] Speed: 265.34 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 266.12 samples/sec Train-accuracy=0.667813 | |
| INFO:root:Epoch[44] Batch [1250] Speed: 266.12 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 264.02 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[44] Batch [1300] Speed: 264.02 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 264.24 samples/sec Train-accuracy=0.668359 | |
| INFO:root:Epoch[44] Batch [1350] Speed: 264.24 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 267.07 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[44] Batch [1400] Speed: 267.07 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 267.37 samples/sec Train-accuracy=0.675781 | |
| INFO:root:Epoch[44] Batch [1450] Speed: 267.37 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 268.32 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[44] Batch [1500] Speed: 268.32 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 266.83 samples/sec Train-accuracy=0.676875 | |
| INFO:root:Epoch[44] Batch [1550] Speed: 266.83 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 266.90 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[44] Batch [1600] Speed: 266.90 samples/sec Train-top_k_accuracy_5=0.859844 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 264.56 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[44] Batch [1650] Speed: 264.56 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 264.25 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[44] Batch [1700] Speed: 264.25 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 264.60 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[44] Batch [1750] Speed: 264.60 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 270.68 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[44] Batch [1800] Speed: 270.68 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 262.20 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[44] Batch [1850] Speed: 262.20 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 247.88 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[44] Batch [1900] Speed: 247.88 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 268.69 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[44] Batch [1950] Speed: 268.69 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 253.15 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[44] Batch [2000] Speed: 253.15 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 274.30 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[44] Batch [2050] Speed: 274.30 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 275.84 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[44] Batch [2100] Speed: 275.84 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 274.63 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[44] Batch [2150] Speed: 274.63 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 267.85 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[44] Batch [2200] Speed: 267.85 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 269.71 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[44] Batch [2250] Speed: 269.71 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 265.34 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[44] Batch [2300] Speed: 265.34 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 271.84 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[44] Batch [2350] Speed: 271.84 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 277.29 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[44] Batch [2400] Speed: 277.29 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 272.92 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[44] Batch [2450] Speed: 272.92 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 265.29 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[44] Batch [2500] Speed: 265.29 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 273.75 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[44] Batch [2550] Speed: 273.75 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 267.07 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[44] Batch [2600] Speed: 267.07 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 262.95 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[44] Batch [2650] Speed: 262.95 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 265.92 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[44] Batch [2700] Speed: 265.92 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 274.22 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[44] Batch [2750] Speed: 274.22 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 271.44 samples/sec Train-accuracy=0.664609 | |
| INFO:root:Epoch[44] Batch [2800] Speed: 271.44 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 272.58 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[44] Batch [2850] Speed: 272.58 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 267.37 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[44] Batch [2900] Speed: 267.37 samples/sec Train-top_k_accuracy_5=0.870859 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 269.59 samples/sec Train-accuracy=0.675312 | |
| INFO:root:Epoch[44] Batch [2950] Speed: 269.59 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 271.17 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[44] Batch [3000] Speed: 271.17 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 275.77 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[44] Batch [3050] Speed: 275.77 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 267.88 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[44] Batch [3100] Speed: 267.88 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 270.48 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[44] Batch [3150] Speed: 270.48 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 258.98 samples/sec Train-accuracy=0.678516 | |
| INFO:root:Epoch[44] Batch [3200] Speed: 258.98 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 263.94 samples/sec Train-accuracy=0.665469 | |
| INFO:root:Epoch[44] Batch [3250] Speed: 263.94 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 265.19 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[44] Batch [3300] Speed: 265.19 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 257.45 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[44] Batch [3350] Speed: 257.45 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 264.80 samples/sec Train-accuracy=0.674687 | |
| INFO:root:Epoch[44] Batch [3400] Speed: 264.80 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 272.47 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[44] Batch [3450] Speed: 272.47 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 266.61 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[44] Batch [3500] Speed: 266.61 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 263.09 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[44] Batch [3550] Speed: 263.09 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 267.17 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[44] Batch [3600] Speed: 267.17 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 263.59 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[44] Batch [3650] Speed: 263.59 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 258.97 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[44] Batch [3700] Speed: 258.97 samples/sec Train-top_k_accuracy_5=0.870234 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 272.49 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[44] Batch [3750] Speed: 272.49 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 255.58 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[44] Batch [3800] Speed: 255.58 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 253.06 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[44] Batch [3850] Speed: 253.06 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 246.67 samples/sec Train-accuracy=0.679844 | |
| INFO:root:Epoch[44] Batch [3900] Speed: 246.67 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 252.79 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[44] Batch [3950] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 256.94 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[44] Batch [4000] Speed: 256.94 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 271.70 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[44] Batch [4050] Speed: 271.70 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 272.48 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[44] Batch [4100] Speed: 272.48 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 265.72 samples/sec Train-accuracy=0.679141 | |
| INFO:root:Epoch[44] Batch [4150] Speed: 265.72 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 257.34 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[44] Batch [4200] Speed: 257.34 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 264.61 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[44] Batch [4250] Speed: 264.61 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 259.97 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[44] Batch [4300] Speed: 259.97 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 254.13 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[44] Batch [4350] Speed: 254.13 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 249.66 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[44] Batch [4400] Speed: 249.66 samples/sec Train-top_k_accuracy_5=0.871641 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 252.55 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[44] Batch [4450] Speed: 252.55 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 260.52 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[44] Batch [4500] Speed: 260.52 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 275.23 samples/sec Train-accuracy=0.670312 | |
| INFO:root:Epoch[44] Batch [4550] Speed: 275.23 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 264.47 samples/sec Train-accuracy=0.676484 | |
| INFO:root:Epoch[44] Batch [4600] Speed: 264.47 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 265.22 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[44] Batch [4650] Speed: 265.22 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 256.11 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[44] Batch [4700] Speed: 256.11 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 250.80 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[44] Batch [4750] Speed: 250.80 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 261.19 samples/sec Train-accuracy=0.674531 | |
| INFO:root:Epoch[44] Batch [4800] Speed: 261.19 samples/sec Train-top_k_accuracy_5=0.869297 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 267.30 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[44] Batch [4850] Speed: 267.30 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 264.24 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[44] Batch [4900] Speed: 264.24 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[44] Batch [4950] Speed: 266.47 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[44] Batch [4950] Speed: 266.47 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[44] Batch [5000] Speed: 264.81 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[44] Batch [5000] Speed: 264.81 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[44] Resetting Data Iterator | |
| INFO:root:Epoch[44] Time cost=4802.665 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0045.params" | |
| INFO:root:Epoch[44] Validation-accuracy=0.706114 | |
| INFO:root:Epoch[44] Validation-top_k_accuracy_5=0.901646 | |
| INFO:root:Epoch[45] Batch [50] Speed: 280.26 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[45] Batch [50] Speed: 280.26 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[45] Batch [100] Speed: 277.74 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[45] Batch [100] Speed: 277.74 samples/sec Train-top_k_accuracy_5=0.859375 | |
| INFO:root:Epoch[45] Batch [150] Speed: 277.78 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[45] Batch [150] Speed: 277.78 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[45] Batch [200] Speed: 277.09 samples/sec Train-accuracy=0.665078 | |
| INFO:root:Epoch[45] Batch [200] Speed: 277.09 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[45] Batch [250] Speed: 258.97 samples/sec Train-accuracy=0.667266 | |
| INFO:root:Epoch[45] Batch [250] Speed: 258.97 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[45] Batch [300] Speed: 264.96 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[45] Batch [300] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[45] Batch [350] Speed: 255.44 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[45] Batch [350] Speed: 255.44 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[45] Batch [400] Speed: 261.76 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[45] Batch [400] Speed: 261.76 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[45] Batch [450] Speed: 261.72 samples/sec Train-accuracy=0.663125 | |
| INFO:root:Epoch[45] Batch [450] Speed: 261.72 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[45] Batch [500] Speed: 268.35 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[45] Batch [500] Speed: 268.35 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[45] Batch [550] Speed: 272.60 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[45] Batch [550] Speed: 272.60 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[45] Batch [600] Speed: 273.65 samples/sec Train-accuracy=0.660703 | |
| INFO:root:Epoch[45] Batch [600] Speed: 273.65 samples/sec Train-top_k_accuracy_5=0.858906 | |
| INFO:root:Epoch[45] Batch [650] Speed: 274.32 samples/sec Train-accuracy=0.665078 | |
| INFO:root:Epoch[45] Batch [650] Speed: 274.32 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[45] Batch [700] Speed: 267.46 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[45] Batch [700] Speed: 267.46 samples/sec Train-top_k_accuracy_5=0.861172 | |
| INFO:root:Epoch[45] Batch [750] Speed: 268.02 samples/sec Train-accuracy=0.667422 | |
| INFO:root:Epoch[45] Batch [750] Speed: 268.02 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[45] Batch [800] Speed: 259.41 samples/sec Train-accuracy=0.662031 | |
| INFO:root:Epoch[45] Batch [800] Speed: 259.41 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[45] Batch [850] Speed: 262.79 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[45] Batch [850] Speed: 262.79 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[45] Batch [900] Speed: 277.94 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[45] Batch [900] Speed: 277.94 samples/sec Train-top_k_accuracy_5=0.858437 | |
| INFO:root:Epoch[45] Batch [950] Speed: 270.01 samples/sec Train-accuracy=0.662891 | |
| INFO:root:Epoch[45] Batch [950] Speed: 270.01 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 269.54 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[45] Batch [1000] Speed: 269.54 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 263.89 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[45] Batch [1050] Speed: 263.89 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 254.99 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[45] Batch [1100] Speed: 254.99 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 264.00 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[45] Batch [1150] Speed: 264.00 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 248.46 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[45] Batch [1200] Speed: 248.46 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 254.02 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[45] Batch [1250] Speed: 254.02 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 258.15 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[45] Batch [1300] Speed: 258.15 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 250.50 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[45] Batch [1350] Speed: 250.50 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 266.74 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[45] Batch [1400] Speed: 266.74 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 262.77 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[45] Batch [1450] Speed: 262.77 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 248.98 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[45] Batch [1500] Speed: 248.98 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 250.21 samples/sec Train-accuracy=0.674531 | |
| INFO:root:Epoch[45] Batch [1550] Speed: 250.21 samples/sec Train-top_k_accuracy_5=0.862422 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 257.87 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[45] Batch [1600] Speed: 257.87 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 251.33 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[45] Batch [1650] Speed: 251.33 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 260.17 samples/sec Train-accuracy=0.663984 | |
| INFO:root:Epoch[45] Batch [1700] Speed: 260.17 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 260.68 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[45] Batch [1750] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 270.25 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[45] Batch [1800] Speed: 270.25 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 270.19 samples/sec Train-accuracy=0.662734 | |
| INFO:root:Epoch[45] Batch [1850] Speed: 270.19 samples/sec Train-top_k_accuracy_5=0.862187 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 273.61 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[45] Batch [1900] Speed: 273.61 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 275.17 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[45] Batch [1950] Speed: 275.17 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 262.24 samples/sec Train-accuracy=0.675312 | |
| INFO:root:Epoch[45] Batch [2000] Speed: 262.24 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 271.70 samples/sec Train-accuracy=0.664453 | |
| INFO:root:Epoch[45] Batch [2050] Speed: 271.70 samples/sec Train-top_k_accuracy_5=0.858203 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 276.12 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[45] Batch [2100] Speed: 276.12 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 276.63 samples/sec Train-accuracy=0.682187 | |
| INFO:root:Epoch[45] Batch [2150] Speed: 276.63 samples/sec Train-top_k_accuracy_5=0.870000 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 277.90 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[45] Batch [2200] Speed: 277.90 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 264.58 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[45] Batch [2250] Speed: 264.58 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 270.33 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[45] Batch [2300] Speed: 270.33 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 263.70 samples/sec Train-accuracy=0.674297 | |
| INFO:root:Epoch[45] Batch [2350] Speed: 263.70 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 267.20 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[45] Batch [2400] Speed: 267.20 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 255.30 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[45] Batch [2450] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.860078 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 270.05 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[45] Batch [2500] Speed: 270.05 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 266.57 samples/sec Train-accuracy=0.666094 | |
| INFO:root:Epoch[45] Batch [2550] Speed: 266.57 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 273.01 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[45] Batch [2600] Speed: 273.01 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 270.61 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[45] Batch [2650] Speed: 270.61 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 274.35 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[45] Batch [2700] Speed: 274.35 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 275.25 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[45] Batch [2750] Speed: 275.25 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 263.93 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[45] Batch [2800] Speed: 263.93 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 270.42 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[45] Batch [2850] Speed: 270.42 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 264.78 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[45] Batch [2900] Speed: 264.78 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 274.86 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[45] Batch [2950] Speed: 274.86 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 272.78 samples/sec Train-accuracy=0.675156 | |
| INFO:root:Epoch[45] Batch [3000] Speed: 272.78 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 271.46 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[45] Batch [3050] Speed: 271.46 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 276.43 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[45] Batch [3100] Speed: 276.43 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 271.93 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[45] Batch [3150] Speed: 271.93 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 268.09 samples/sec Train-accuracy=0.674531 | |
| INFO:root:Epoch[45] Batch [3200] Speed: 268.09 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 262.61 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[45] Batch [3250] Speed: 262.61 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 262.54 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[45] Batch [3300] Speed: 262.54 samples/sec Train-top_k_accuracy_5=0.874531 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 253.19 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[45] Batch [3350] Speed: 253.19 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 237.10 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[45] Batch [3400] Speed: 237.10 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 255.00 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[45] Batch [3450] Speed: 255.00 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 240.22 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[45] Batch [3500] Speed: 240.22 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 256.40 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[45] Batch [3550] Speed: 256.40 samples/sec Train-top_k_accuracy_5=0.871563 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 258.61 samples/sec Train-accuracy=0.666250 | |
| INFO:root:Epoch[45] Batch [3600] Speed: 258.61 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 253.12 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[45] Batch [3650] Speed: 253.12 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 256.47 samples/sec Train-accuracy=0.677969 | |
| INFO:root:Epoch[45] Batch [3700] Speed: 256.47 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 264.65 samples/sec Train-accuracy=0.678047 | |
| INFO:root:Epoch[45] Batch [3750] Speed: 264.65 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 267.43 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[45] Batch [3800] Speed: 267.43 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 258.35 samples/sec Train-accuracy=0.678906 | |
| INFO:root:Epoch[45] Batch [3850] Speed: 258.35 samples/sec Train-top_k_accuracy_5=0.873203 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 259.22 samples/sec Train-accuracy=0.680078 | |
| INFO:root:Epoch[45] Batch [3900] Speed: 259.22 samples/sec Train-top_k_accuracy_5=0.874062 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 265.66 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[45] Batch [3950] Speed: 265.66 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 251.29 samples/sec Train-accuracy=0.666641 | |
| INFO:root:Epoch[45] Batch [4000] Speed: 251.29 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 267.00 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[45] Batch [4050] Speed: 267.00 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 265.84 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[45] Batch [4100] Speed: 265.84 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 264.06 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[45] Batch [4150] Speed: 264.06 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 259.21 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[45] Batch [4200] Speed: 259.21 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 266.55 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[45] Batch [4250] Speed: 266.55 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 267.41 samples/sec Train-accuracy=0.676250 | |
| INFO:root:Epoch[45] Batch [4300] Speed: 267.41 samples/sec Train-top_k_accuracy_5=0.869766 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 258.93 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[45] Batch [4350] Speed: 258.93 samples/sec Train-top_k_accuracy_5=0.860234 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 255.09 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[45] Batch [4400] Speed: 255.09 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 243.70 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[45] Batch [4450] Speed: 243.70 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 247.87 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[45] Batch [4500] Speed: 247.87 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 258.58 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[45] Batch [4550] Speed: 258.58 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 260.54 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[45] Batch [4600] Speed: 260.54 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 269.15 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[45] Batch [4650] Speed: 269.15 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 260.39 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[45] Batch [4700] Speed: 260.39 samples/sec Train-top_k_accuracy_5=0.871875 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 253.63 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[45] Batch [4750] Speed: 253.63 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 249.31 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[45] Batch [4800] Speed: 249.31 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 271.78 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[45] Batch [4850] Speed: 271.78 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 260.22 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[45] Batch [4900] Speed: 260.22 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[45] Batch [4950] Speed: 250.62 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[45] Batch [4950] Speed: 250.62 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[45] Batch [5000] Speed: 252.49 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[45] Batch [5000] Speed: 252.49 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[45] Resetting Data Iterator | |
| INFO:root:Epoch[45] Time cost=4866.955 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0046.params" | |
| INFO:root:Epoch[45] Validation-accuracy=0.705038 | |
| INFO:root:Epoch[45] Validation-top_k_accuracy_5=0.899554 | |
| INFO:root:Epoch[46] Batch [50] Speed: 282.41 samples/sec Train-accuracy=0.681406 | |
| INFO:root:Epoch[46] Batch [50] Speed: 282.41 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[46] Batch [100] Speed: 276.55 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[46] Batch [100] Speed: 276.55 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[46] Batch [150] Speed: 276.37 samples/sec Train-accuracy=0.662188 | |
| INFO:root:Epoch[46] Batch [150] Speed: 276.37 samples/sec Train-top_k_accuracy_5=0.855781 | |
| INFO:root:Epoch[46] Batch [200] Speed: 278.39 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[46] Batch [200] Speed: 278.39 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[46] Batch [250] Speed: 262.22 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[46] Batch [250] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[46] Batch [300] Speed: 267.46 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[46] Batch [300] Speed: 267.46 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[46] Batch [350] Speed: 254.11 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[46] Batch [350] Speed: 254.11 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[46] Batch [400] Speed: 264.02 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[46] Batch [400] Speed: 264.02 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[46] Batch [450] Speed: 258.18 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[46] Batch [450] Speed: 258.18 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[46] Batch [500] Speed: 265.65 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[46] Batch [500] Speed: 265.65 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[46] Batch [550] Speed: 247.06 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[46] Batch [550] Speed: 247.06 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[46] Batch [600] Speed: 260.19 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[46] Batch [600] Speed: 260.19 samples/sec Train-top_k_accuracy_5=0.861484 | |
| INFO:root:Epoch[46] Batch [650] Speed: 268.59 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[46] Batch [650] Speed: 268.59 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[46] Batch [700] Speed: 264.87 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[46] Batch [700] Speed: 264.87 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[46] Batch [750] Speed: 259.46 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[46] Batch [750] Speed: 259.46 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[46] Batch [800] Speed: 255.79 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[46] Batch [800] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.858828 | |
| INFO:root:Epoch[46] Batch [850] Speed: 256.08 samples/sec Train-accuracy=0.663516 | |
| INFO:root:Epoch[46] Batch [850] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[46] Batch [900] Speed: 248.04 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[46] Batch [900] Speed: 248.04 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[46] Batch [950] Speed: 257.56 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[46] Batch [950] Speed: 257.56 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 261.16 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[46] Batch [1000] Speed: 261.16 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 261.40 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[46] Batch [1050] Speed: 261.40 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 260.42 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[46] Batch [1100] Speed: 260.42 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 256.04 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[46] Batch [1150] Speed: 256.04 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 269.67 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[46] Batch [1200] Speed: 269.67 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 259.16 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[46] Batch [1250] Speed: 259.16 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 255.01 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[46] Batch [1300] Speed: 255.01 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 263.90 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[46] Batch [1350] Speed: 263.90 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 255.20 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[46] Batch [1400] Speed: 255.20 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 262.43 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[46] Batch [1450] Speed: 262.43 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 265.31 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[46] Batch [1500] Speed: 265.31 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 262.05 samples/sec Train-accuracy=0.677891 | |
| INFO:root:Epoch[46] Batch [1550] Speed: 262.05 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 255.63 samples/sec Train-accuracy=0.674297 | |
| INFO:root:Epoch[46] Batch [1600] Speed: 255.63 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 258.26 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[46] Batch [1650] Speed: 258.26 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 264.16 samples/sec Train-accuracy=0.661406 | |
| INFO:root:Epoch[46] Batch [1700] Speed: 264.16 samples/sec Train-top_k_accuracy_5=0.860234 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 267.50 samples/sec Train-accuracy=0.667500 | |
| INFO:root:Epoch[46] Batch [1750] Speed: 267.50 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 265.10 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[46] Batch [1800] Speed: 265.10 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 259.21 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[46] Batch [1850] Speed: 259.21 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 256.81 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[46] Batch [1900] Speed: 256.81 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 264.54 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[46] Batch [1950] Speed: 264.54 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 266.83 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[46] Batch [2000] Speed: 266.83 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 269.17 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[46] Batch [2050] Speed: 269.17 samples/sec Train-top_k_accuracy_5=0.861016 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 266.45 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[46] Batch [2100] Speed: 266.45 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 273.84 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[46] Batch [2150] Speed: 273.84 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 260.16 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[46] Batch [2200] Speed: 260.16 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 251.61 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[46] Batch [2250] Speed: 251.61 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 249.33 samples/sec Train-accuracy=0.672656 | |
| INFO:root:Epoch[46] Batch [2300] Speed: 249.33 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 261.34 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[46] Batch [2350] Speed: 261.34 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 253.67 samples/sec Train-accuracy=0.662813 | |
| INFO:root:Epoch[46] Batch [2400] Speed: 253.67 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 255.73 samples/sec Train-accuracy=0.668516 | |
| INFO:root:Epoch[46] Batch [2450] Speed: 255.73 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 247.11 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[46] Batch [2500] Speed: 247.11 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 250.15 samples/sec Train-accuracy=0.663281 | |
| INFO:root:Epoch[46] Batch [2550] Speed: 250.15 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 251.70 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[46] Batch [2600] Speed: 251.70 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 260.62 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[46] Batch [2650] Speed: 260.62 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 255.06 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[46] Batch [2700] Speed: 255.06 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 258.34 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[46] Batch [2750] Speed: 258.34 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 253.57 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[46] Batch [2800] Speed: 253.57 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 258.70 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[46] Batch [2850] Speed: 258.70 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 256.08 samples/sec Train-accuracy=0.679922 | |
| INFO:root:Epoch[46] Batch [2900] Speed: 256.08 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 257.79 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[46] Batch [2950] Speed: 257.79 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 265.30 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[46] Batch [3000] Speed: 265.30 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 269.09 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[46] Batch [3050] Speed: 269.09 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 271.27 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[46] Batch [3100] Speed: 271.27 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 269.60 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[46] Batch [3150] Speed: 269.60 samples/sec Train-top_k_accuracy_5=0.868437 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 274.58 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[46] Batch [3200] Speed: 274.58 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 271.97 samples/sec Train-accuracy=0.663750 | |
| INFO:root:Epoch[46] Batch [3250] Speed: 271.97 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 271.94 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[46] Batch [3300] Speed: 271.94 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 262.92 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[46] Batch [3350] Speed: 262.92 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 274.07 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[46] Batch [3400] Speed: 274.07 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 260.55 samples/sec Train-accuracy=0.664687 | |
| INFO:root:Epoch[46] Batch [3450] Speed: 260.55 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 253.92 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[46] Batch [3500] Speed: 253.92 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 246.46 samples/sec Train-accuracy=0.677734 | |
| INFO:root:Epoch[46] Batch [3550] Speed: 246.46 samples/sec Train-top_k_accuracy_5=0.870625 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 264.56 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[46] Batch [3600] Speed: 264.56 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 244.09 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[46] Batch [3650] Speed: 244.09 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 254.54 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[46] Batch [3700] Speed: 254.54 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 255.20 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[46] Batch [3750] Speed: 255.20 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 268.17 samples/sec Train-accuracy=0.670469 | |
| INFO:root:Epoch[46] Batch [3800] Speed: 268.17 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 267.60 samples/sec Train-accuracy=0.685781 | |
| INFO:root:Epoch[46] Batch [3850] Speed: 267.60 samples/sec Train-top_k_accuracy_5=0.871016 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 265.30 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[46] Batch [3900] Speed: 265.30 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 264.28 samples/sec Train-accuracy=0.667031 | |
| INFO:root:Epoch[46] Batch [3950] Speed: 264.28 samples/sec Train-top_k_accuracy_5=0.860469 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 265.10 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[46] Batch [4000] Speed: 265.10 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 259.82 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[46] Batch [4050] Speed: 259.82 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 255.59 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[46] Batch [4100] Speed: 255.59 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 262.51 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[46] Batch [4150] Speed: 262.51 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 254.98 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[46] Batch [4200] Speed: 254.98 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 265.25 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[46] Batch [4250] Speed: 265.25 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 255.93 samples/sec Train-accuracy=0.678516 | |
| INFO:root:Epoch[46] Batch [4300] Speed: 255.93 samples/sec Train-top_k_accuracy_5=0.872109 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 262.94 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[46] Batch [4350] Speed: 262.94 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 255.78 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[46] Batch [4400] Speed: 255.78 samples/sec Train-top_k_accuracy_5=0.872188 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 257.40 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[46] Batch [4450] Speed: 257.40 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 263.72 samples/sec Train-accuracy=0.675703 | |
| INFO:root:Epoch[46] Batch [4500] Speed: 263.72 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 250.90 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[46] Batch [4550] Speed: 250.90 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 249.24 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[46] Batch [4600] Speed: 249.24 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 268.06 samples/sec Train-accuracy=0.674219 | |
| INFO:root:Epoch[46] Batch [4650] Speed: 268.06 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 263.04 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[46] Batch [4700] Speed: 263.04 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 262.26 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[46] Batch [4750] Speed: 262.26 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 268.21 samples/sec Train-accuracy=0.679297 | |
| INFO:root:Epoch[46] Batch [4800] Speed: 268.21 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 260.97 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[46] Batch [4850] Speed: 260.97 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 247.35 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[46] Batch [4900] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[46] Batch [4950] Speed: 252.99 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[46] Batch [4950] Speed: 252.99 samples/sec Train-top_k_accuracy_5=0.864219 | |
| INFO:root:Epoch[46] Batch [5000] Speed: 263.44 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[46] Batch [5000] Speed: 263.44 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[46] Resetting Data Iterator | |
| INFO:root:Epoch[46] Time cost=4912.822 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0047.params" | |
| INFO:root:Epoch[46] Validation-accuracy=0.703902 | |
| INFO:root:Epoch[46] Validation-top_k_accuracy_5=0.898457 | |
| INFO:root:Epoch[47] Batch [50] Speed: 280.20 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[47] Batch [50] Speed: 280.20 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[47] Batch [100] Speed: 276.40 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[47] Batch [100] Speed: 276.40 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[47] Batch [150] Speed: 275.78 samples/sec Train-accuracy=0.665781 | |
| INFO:root:Epoch[47] Batch [150] Speed: 275.78 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[47] Batch [200] Speed: 278.31 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[47] Batch [200] Speed: 278.31 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[47] Batch [250] Speed: 275.62 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[47] Batch [250] Speed: 275.62 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[47] Batch [300] Speed: 276.01 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[47] Batch [300] Speed: 276.01 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[47] Batch [350] Speed: 277.48 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[47] Batch [350] Speed: 277.48 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[47] Batch [400] Speed: 276.48 samples/sec Train-accuracy=0.669531 | |
| INFO:root:Epoch[47] Batch [400] Speed: 276.48 samples/sec Train-top_k_accuracy_5=0.870859 | |
| INFO:root:Epoch[47] Batch [450] Speed: 275.47 samples/sec Train-accuracy=0.673125 | |
| INFO:root:Epoch[47] Batch [450] Speed: 275.47 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[47] Batch [500] Speed: 275.11 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[47] Batch [500] Speed: 275.11 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[47] Batch [550] Speed: 267.30 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[47] Batch [550] Speed: 267.30 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[47] Batch [600] Speed: 268.90 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[47] Batch [600] Speed: 268.90 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[47] Batch [650] Speed: 243.92 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[47] Batch [650] Speed: 243.92 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[47] Batch [700] Speed: 260.36 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[47] Batch [700] Speed: 260.36 samples/sec Train-top_k_accuracy_5=0.868437 | |
| INFO:root:Epoch[47] Batch [750] Speed: 266.37 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[47] Batch [750] Speed: 266.37 samples/sec Train-top_k_accuracy_5=0.862656 | |
| INFO:root:Epoch[47] Batch [800] Speed: 263.04 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[47] Batch [800] Speed: 263.04 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[47] Batch [850] Speed: 265.22 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[47] Batch [850] Speed: 265.22 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[47] Batch [900] Speed: 248.65 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[47] Batch [900] Speed: 248.65 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[47] Batch [950] Speed: 267.95 samples/sec Train-accuracy=0.666875 | |
| INFO:root:Epoch[47] Batch [950] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 254.75 samples/sec Train-accuracy=0.663828 | |
| INFO:root:Epoch[47] Batch [1000] Speed: 254.75 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 258.43 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[47] Batch [1050] Speed: 258.43 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 256.14 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[47] Batch [1100] Speed: 256.14 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 257.86 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[47] Batch [1150] Speed: 257.86 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 255.30 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[47] Batch [1200] Speed: 255.30 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 265.58 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[47] Batch [1250] Speed: 265.58 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 259.97 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[47] Batch [1300] Speed: 259.97 samples/sec Train-top_k_accuracy_5=0.860703 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 264.96 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[47] Batch [1350] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 263.79 samples/sec Train-accuracy=0.675781 | |
| INFO:root:Epoch[47] Batch [1400] Speed: 263.79 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 253.54 samples/sec Train-accuracy=0.675000 | |
| INFO:root:Epoch[47] Batch [1450] Speed: 253.54 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 259.83 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[47] Batch [1500] Speed: 259.83 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 270.38 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[47] Batch [1550] Speed: 270.38 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 264.64 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[47] Batch [1600] Speed: 264.64 samples/sec Train-top_k_accuracy_5=0.868359 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 269.93 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[47] Batch [1650] Speed: 269.93 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 271.28 samples/sec Train-accuracy=0.663281 | |
| INFO:root:Epoch[47] Batch [1700] Speed: 271.28 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 265.83 samples/sec Train-accuracy=0.675234 | |
| INFO:root:Epoch[47] Batch [1750] Speed: 265.83 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 266.78 samples/sec Train-accuracy=0.678047 | |
| INFO:root:Epoch[47] Batch [1800] Speed: 266.78 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 264.39 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[47] Batch [1850] Speed: 264.39 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 266.08 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[47] Batch [1900] Speed: 266.08 samples/sec Train-top_k_accuracy_5=0.868203 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 265.73 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[47] Batch [1950] Speed: 265.73 samples/sec Train-top_k_accuracy_5=0.862344 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 268.63 samples/sec Train-accuracy=0.675469 | |
| INFO:root:Epoch[47] Batch [2000] Speed: 268.63 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 262.89 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[47] Batch [2050] Speed: 262.89 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 268.25 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[47] Batch [2100] Speed: 268.25 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 275.12 samples/sec Train-accuracy=0.679219 | |
| INFO:root:Epoch[47] Batch [2150] Speed: 275.12 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 263.76 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[47] Batch [2200] Speed: 263.76 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 275.71 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[47] Batch [2250] Speed: 275.71 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 260.06 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[47] Batch [2300] Speed: 260.06 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 267.22 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[47] Batch [2350] Speed: 267.22 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 274.91 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[47] Batch [2400] Speed: 274.91 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 266.91 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[47] Batch [2450] Speed: 266.91 samples/sec Train-top_k_accuracy_5=0.863125 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 261.98 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[47] Batch [2500] Speed: 261.98 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 269.72 samples/sec Train-accuracy=0.672656 | |
| INFO:root:Epoch[47] Batch [2550] Speed: 269.72 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 259.48 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[47] Batch [2600] Speed: 259.48 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 267.61 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[47] Batch [2650] Speed: 267.61 samples/sec Train-top_k_accuracy_5=0.866250 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 265.69 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[47] Batch [2700] Speed: 265.69 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 267.75 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[47] Batch [2750] Speed: 267.75 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 267.02 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[47] Batch [2800] Speed: 267.02 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 259.07 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[47] Batch [2850] Speed: 259.07 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 252.69 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[47] Batch [2900] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.871328 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 252.53 samples/sec Train-accuracy=0.679375 | |
| INFO:root:Epoch[47] Batch [2950] Speed: 252.53 samples/sec Train-top_k_accuracy_5=0.868984 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 248.47 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[47] Batch [3000] Speed: 248.47 samples/sec Train-top_k_accuracy_5=0.857969 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 265.96 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[47] Batch [3050] Speed: 265.96 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 252.69 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[47] Batch [3100] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 264.31 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[47] Batch [3150] Speed: 264.31 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 250.69 samples/sec Train-accuracy=0.679531 | |
| INFO:root:Epoch[47] Batch [3200] Speed: 250.69 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 258.79 samples/sec Train-accuracy=0.662188 | |
| INFO:root:Epoch[47] Batch [3250] Speed: 258.79 samples/sec Train-top_k_accuracy_5=0.860781 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 249.39 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[47] Batch [3300] Speed: 249.39 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 248.49 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[47] Batch [3350] Speed: 248.49 samples/sec Train-top_k_accuracy_5=0.862969 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 272.12 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[47] Batch [3400] Speed: 272.12 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 252.18 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[47] Batch [3450] Speed: 252.18 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 263.53 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[47] Batch [3500] Speed: 263.53 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 261.29 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[47] Batch [3550] Speed: 261.29 samples/sec Train-top_k_accuracy_5=0.868125 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 263.40 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[47] Batch [3600] Speed: 263.40 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 264.69 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[47] Batch [3650] Speed: 264.69 samples/sec Train-top_k_accuracy_5=0.861953 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 269.70 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[47] Batch [3700] Speed: 269.70 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 264.64 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[47] Batch [3750] Speed: 264.64 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 268.97 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[47] Batch [3800] Speed: 268.97 samples/sec Train-top_k_accuracy_5=0.863047 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 269.79 samples/sec Train-accuracy=0.679297 | |
| INFO:root:Epoch[47] Batch [3850] Speed: 269.79 samples/sec Train-top_k_accuracy_5=0.871484 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 259.28 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[47] Batch [3900] Speed: 259.28 samples/sec Train-top_k_accuracy_5=0.868437 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 260.81 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[47] Batch [3950] Speed: 260.81 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 239.83 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[47] Batch [4000] Speed: 239.83 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 262.42 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[47] Batch [4050] Speed: 262.42 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 264.22 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[47] Batch [4100] Speed: 264.22 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 268.32 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[47] Batch [4150] Speed: 268.32 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 276.76 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[47] Batch [4200] Speed: 276.76 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 260.13 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[47] Batch [4250] Speed: 260.13 samples/sec Train-top_k_accuracy_5=0.859453 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 266.35 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[47] Batch [4300] Speed: 266.35 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 258.13 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[47] Batch [4350] Speed: 258.13 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 262.46 samples/sec Train-accuracy=0.678125 | |
| INFO:root:Epoch[47] Batch [4400] Speed: 262.46 samples/sec Train-top_k_accuracy_5=0.872266 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 264.69 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[47] Batch [4450] Speed: 264.69 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 270.49 samples/sec Train-accuracy=0.678203 | |
| INFO:root:Epoch[47] Batch [4500] Speed: 270.49 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 272.75 samples/sec Train-accuracy=0.662266 | |
| INFO:root:Epoch[47] Batch [4550] Speed: 272.75 samples/sec Train-top_k_accuracy_5=0.859297 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 267.07 samples/sec Train-accuracy=0.678047 | |
| INFO:root:Epoch[47] Batch [4600] Speed: 267.07 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 263.75 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[47] Batch [4650] Speed: 263.75 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 266.15 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[47] Batch [4700] Speed: 266.15 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 265.17 samples/sec Train-accuracy=0.662422 | |
| INFO:root:Epoch[47] Batch [4750] Speed: 265.17 samples/sec Train-top_k_accuracy_5=0.860859 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 256.70 samples/sec Train-accuracy=0.673828 | |
| INFO:root:Epoch[47] Batch [4800] Speed: 256.70 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 259.23 samples/sec Train-accuracy=0.680469 | |
| INFO:root:Epoch[47] Batch [4850] Speed: 259.23 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 258.22 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[47] Batch [4900] Speed: 258.22 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[47] Batch [4950] Speed: 264.69 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[47] Batch [4950] Speed: 264.69 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[47] Batch [5000] Speed: 271.80 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[47] Batch [5000] Speed: 271.80 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[47] Resetting Data Iterator | |
| INFO:root:Epoch[47] Time cost=4851.822 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0048.params" | |
| INFO:root:Epoch[47] Validation-accuracy=0.706174 | |
| INFO:root:Epoch[47] Validation-top_k_accuracy_5=0.901367 | |
| INFO:root:Epoch[48] Batch [50] Speed: 285.18 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[48] Batch [50] Speed: 285.18 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[48] Batch [100] Speed: 280.61 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[48] Batch [100] Speed: 280.61 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[48] Batch [150] Speed: 275.21 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[48] Batch [150] Speed: 275.21 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[48] Batch [200] Speed: 248.83 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[48] Batch [200] Speed: 248.83 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[48] Batch [250] Speed: 254.06 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[48] Batch [250] Speed: 254.06 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[48] Batch [300] Speed: 261.68 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[48] Batch [300] Speed: 261.68 samples/sec Train-top_k_accuracy_5=0.869219 | |
| INFO:root:Epoch[48] Batch [350] Speed: 262.24 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[48] Batch [350] Speed: 262.24 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[48] Batch [400] Speed: 255.31 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[48] Batch [400] Speed: 255.31 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[48] Batch [450] Speed: 265.74 samples/sec Train-accuracy=0.676406 | |
| INFO:root:Epoch[48] Batch [450] Speed: 265.74 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[48] Batch [500] Speed: 263.34 samples/sec Train-accuracy=0.675000 | |
| INFO:root:Epoch[48] Batch [500] Speed: 263.34 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[48] Batch [550] Speed: 261.99 samples/sec Train-accuracy=0.668594 | |
| INFO:root:Epoch[48] Batch [550] Speed: 261.99 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[48] Batch [600] Speed: 275.36 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[48] Batch [600] Speed: 275.36 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[48] Batch [650] Speed: 261.81 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[48] Batch [650] Speed: 261.81 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[48] Batch [700] Speed: 266.20 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[48] Batch [700] Speed: 266.20 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[48] Batch [750] Speed: 248.06 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[48] Batch [750] Speed: 248.06 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[48] Batch [800] Speed: 252.19 samples/sec Train-accuracy=0.665859 | |
| INFO:root:Epoch[48] Batch [800] Speed: 252.19 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[48] Batch [850] Speed: 258.29 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[48] Batch [850] Speed: 258.29 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[48] Batch [900] Speed: 261.55 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[48] Batch [900] Speed: 261.55 samples/sec Train-top_k_accuracy_5=0.859531 | |
| INFO:root:Epoch[48] Batch [950] Speed: 267.95 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[48] Batch [950] Speed: 267.95 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 269.74 samples/sec Train-accuracy=0.667891 | |
| INFO:root:Epoch[48] Batch [1000] Speed: 269.74 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 263.12 samples/sec Train-accuracy=0.682656 | |
| INFO:root:Epoch[48] Batch [1050] Speed: 263.12 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 276.32 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[48] Batch [1100] Speed: 276.32 samples/sec Train-top_k_accuracy_5=0.868828 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 269.86 samples/sec Train-accuracy=0.662656 | |
| INFO:root:Epoch[48] Batch [1150] Speed: 269.86 samples/sec Train-top_k_accuracy_5=0.859922 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 276.32 samples/sec Train-accuracy=0.673125 | |
| INFO:root:Epoch[48] Batch [1200] Speed: 276.32 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 279.19 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[48] Batch [1250] Speed: 279.19 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 270.76 samples/sec Train-accuracy=0.668984 | |
| INFO:root:Epoch[48] Batch [1300] Speed: 270.76 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 267.47 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[48] Batch [1350] Speed: 267.47 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 268.17 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[48] Batch [1400] Speed: 268.17 samples/sec Train-top_k_accuracy_5=0.858359 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 271.73 samples/sec Train-accuracy=0.673594 | |
| INFO:root:Epoch[48] Batch [1450] Speed: 271.73 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 269.58 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[48] Batch [1500] Speed: 269.58 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 266.97 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[48] Batch [1550] Speed: 266.97 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 261.47 samples/sec Train-accuracy=0.678750 | |
| INFO:root:Epoch[48] Batch [1600] Speed: 261.47 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 267.62 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[48] Batch [1650] Speed: 267.62 samples/sec Train-top_k_accuracy_5=0.862031 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 278.99 samples/sec Train-accuracy=0.662500 | |
| INFO:root:Epoch[48] Batch [1700] Speed: 278.99 samples/sec Train-top_k_accuracy_5=0.861094 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 278.42 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[48] Batch [1750] Speed: 278.42 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 273.23 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[48] Batch [1800] Speed: 273.23 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 272.24 samples/sec Train-accuracy=0.671328 | |
| INFO:root:Epoch[48] Batch [1850] Speed: 272.24 samples/sec Train-top_k_accuracy_5=0.860938 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 266.91 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[48] Batch [1900] Speed: 266.91 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 263.19 samples/sec Train-accuracy=0.680078 | |
| INFO:root:Epoch[48] Batch [1950] Speed: 263.19 samples/sec Train-top_k_accuracy_5=0.869609 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 260.03 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[48] Batch [2000] Speed: 260.03 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 269.05 samples/sec Train-accuracy=0.677578 | |
| INFO:root:Epoch[48] Batch [2050] Speed: 269.05 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 268.18 samples/sec Train-accuracy=0.678516 | |
| INFO:root:Epoch[48] Batch [2100] Speed: 268.18 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 263.32 samples/sec Train-accuracy=0.675078 | |
| INFO:root:Epoch[48] Batch [2150] Speed: 263.32 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 256.72 samples/sec Train-accuracy=0.679531 | |
| INFO:root:Epoch[48] Batch [2200] Speed: 256.72 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 253.75 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[48] Batch [2250] Speed: 253.75 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 263.51 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[48] Batch [2300] Speed: 263.51 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 259.86 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[48] Batch [2350] Speed: 259.86 samples/sec Train-top_k_accuracy_5=0.872891 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 257.63 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[48] Batch [2400] Speed: 257.63 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 265.08 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[48] Batch [2450] Speed: 265.08 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 262.32 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[48] Batch [2500] Speed: 262.32 samples/sec Train-top_k_accuracy_5=0.862578 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 262.75 samples/sec Train-accuracy=0.669766 | |
| INFO:root:Epoch[48] Batch [2550] Speed: 262.75 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 266.38 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[48] Batch [2600] Speed: 266.38 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 259.52 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[48] Batch [2650] Speed: 259.52 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 260.68 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[48] Batch [2700] Speed: 260.68 samples/sec Train-top_k_accuracy_5=0.869766 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 268.00 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[48] Batch [2750] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 252.93 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[48] Batch [2800] Speed: 252.93 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 263.69 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[48] Batch [2850] Speed: 263.69 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 255.79 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[48] Batch [2900] Speed: 255.79 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 269.40 samples/sec Train-accuracy=0.677422 | |
| INFO:root:Epoch[48] Batch [2950] Speed: 269.40 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 259.72 samples/sec Train-accuracy=0.666484 | |
| INFO:root:Epoch[48] Batch [3000] Speed: 259.72 samples/sec Train-top_k_accuracy_5=0.860000 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 265.33 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[48] Batch [3050] Speed: 265.33 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 257.94 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[48] Batch [3100] Speed: 257.94 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 246.94 samples/sec Train-accuracy=0.677734 | |
| INFO:root:Epoch[48] Batch [3150] Speed: 246.94 samples/sec Train-top_k_accuracy_5=0.870859 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 268.67 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[48] Batch [3200] Speed: 268.67 samples/sec Train-top_k_accuracy_5=0.870859 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 266.10 samples/sec Train-accuracy=0.666719 | |
| INFO:root:Epoch[48] Batch [3250] Speed: 266.10 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 254.48 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[48] Batch [3300] Speed: 254.48 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 254.21 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[48] Batch [3350] Speed: 254.21 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 243.19 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[48] Batch [3400] Speed: 243.19 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 251.60 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[48] Batch [3450] Speed: 251.60 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 258.96 samples/sec Train-accuracy=0.679219 | |
| INFO:root:Epoch[48] Batch [3500] Speed: 258.96 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 253.17 samples/sec Train-accuracy=0.675703 | |
| INFO:root:Epoch[48] Batch [3550] Speed: 253.17 samples/sec Train-top_k_accuracy_5=0.869375 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 271.75 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[48] Batch [3600] Speed: 271.75 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 264.96 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[48] Batch [3650] Speed: 264.96 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 270.38 samples/sec Train-accuracy=0.677578 | |
| INFO:root:Epoch[48] Batch [3700] Speed: 270.38 samples/sec Train-top_k_accuracy_5=0.871563 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 269.42 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[48] Batch [3750] Speed: 269.42 samples/sec Train-top_k_accuracy_5=0.863203 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 269.28 samples/sec Train-accuracy=0.675781 | |
| INFO:root:Epoch[48] Batch [3800] Speed: 269.28 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 270.66 samples/sec Train-accuracy=0.688672 | |
| INFO:root:Epoch[48] Batch [3850] Speed: 270.66 samples/sec Train-top_k_accuracy_5=0.872578 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 260.10 samples/sec Train-accuracy=0.681250 | |
| INFO:root:Epoch[48] Batch [3900] Speed: 260.10 samples/sec Train-top_k_accuracy_5=0.871641 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 263.79 samples/sec Train-accuracy=0.675469 | |
| INFO:root:Epoch[48] Batch [3950] Speed: 263.79 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 263.81 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[48] Batch [4000] Speed: 263.81 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 278.00 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[48] Batch [4050] Speed: 278.00 samples/sec Train-top_k_accuracy_5=0.871953 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 272.13 samples/sec Train-accuracy=0.674609 | |
| INFO:root:Epoch[48] Batch [4100] Speed: 272.13 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 271.43 samples/sec Train-accuracy=0.678906 | |
| INFO:root:Epoch[48] Batch [4150] Speed: 271.43 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 269.83 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[48] Batch [4200] Speed: 269.83 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 268.42 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[48] Batch [4250] Speed: 268.42 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 264.73 samples/sec Train-accuracy=0.682109 | |
| INFO:root:Epoch[48] Batch [4300] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.871250 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 269.61 samples/sec Train-accuracy=0.675078 | |
| INFO:root:Epoch[48] Batch [4350] Speed: 269.61 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 272.59 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[48] Batch [4400] Speed: 272.59 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 260.76 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[48] Batch [4450] Speed: 260.76 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 260.36 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[48] Batch [4500] Speed: 260.36 samples/sec Train-top_k_accuracy_5=0.869453 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 267.98 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[48] Batch [4550] Speed: 267.98 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 258.16 samples/sec Train-accuracy=0.682422 | |
| INFO:root:Epoch[48] Batch [4600] Speed: 258.16 samples/sec Train-top_k_accuracy_5=0.872656 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 271.34 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[48] Batch [4650] Speed: 271.34 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 276.86 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[48] Batch [4700] Speed: 276.86 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 261.37 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[48] Batch [4750] Speed: 261.37 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 267.59 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[48] Batch [4800] Speed: 267.59 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 267.17 samples/sec Train-accuracy=0.676797 | |
| INFO:root:Epoch[48] Batch [4850] Speed: 267.17 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 253.26 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[48] Batch [4900] Speed: 253.26 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[48] Batch [4950] Speed: 270.66 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[48] Batch [4950] Speed: 270.66 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[48] Batch [5000] Speed: 260.92 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[48] Batch [5000] Speed: 260.92 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[48] Resetting Data Iterator | |
| INFO:root:Epoch[48] Time cost=4843.261 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0049.params" | |
| INFO:root:Epoch[48] Validation-accuracy=0.708327 | |
| INFO:root:Epoch[48] Validation-top_k_accuracy_5=0.901467 | |
| INFO:root:Epoch[49] Batch [50] Speed: 281.73 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[49] Batch [50] Speed: 281.73 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[49] Batch [100] Speed: 277.69 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[49] Batch [100] Speed: 277.69 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[49] Batch [150] Speed: 278.56 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[49] Batch [150] Speed: 278.56 samples/sec Train-top_k_accuracy_5=0.860391 | |
| INFO:root:Epoch[49] Batch [200] Speed: 261.44 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[49] Batch [200] Speed: 261.44 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[49] Batch [250] Speed: 265.70 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[49] Batch [250] Speed: 265.70 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[49] Batch [300] Speed: 263.52 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[49] Batch [300] Speed: 263.52 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[49] Batch [350] Speed: 269.90 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[49] Batch [350] Speed: 269.90 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[49] Batch [400] Speed: 250.38 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[49] Batch [400] Speed: 250.38 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[49] Batch [450] Speed: 243.13 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[49] Batch [450] Speed: 243.13 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[49] Batch [500] Speed: 240.30 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[49] Batch [500] Speed: 240.30 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[49] Batch [550] Speed: 240.38 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[49] Batch [550] Speed: 240.38 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[49] Batch [600] Speed: 249.39 samples/sec Train-accuracy=0.668672 | |
| INFO:root:Epoch[49] Batch [600] Speed: 249.39 samples/sec Train-top_k_accuracy_5=0.860547 | |
| INFO:root:Epoch[49] Batch [650] Speed: 252.63 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[49] Batch [650] Speed: 252.63 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[49] Batch [700] Speed: 264.18 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[49] Batch [700] Speed: 264.18 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[49] Batch [750] Speed: 268.21 samples/sec Train-accuracy=0.666562 | |
| INFO:root:Epoch[49] Batch [750] Speed: 268.21 samples/sec Train-top_k_accuracy_5=0.859062 | |
| INFO:root:Epoch[49] Batch [800] Speed: 269.59 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[49] Batch [800] Speed: 269.59 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[49] Batch [850] Speed: 256.57 samples/sec Train-accuracy=0.671641 | |
| INFO:root:Epoch[49] Batch [850] Speed: 256.57 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[49] Batch [900] Speed: 268.67 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[49] Batch [900] Speed: 268.67 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[49] Batch [950] Speed: 252.79 samples/sec Train-accuracy=0.672422 | |
| INFO:root:Epoch[49] Batch [950] Speed: 252.79 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 263.39 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[49] Batch [1000] Speed: 263.39 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 261.07 samples/sec Train-accuracy=0.676719 | |
| INFO:root:Epoch[49] Batch [1050] Speed: 261.07 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 261.40 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[49] Batch [1100] Speed: 261.40 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 248.32 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[49] Batch [1150] Speed: 248.32 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 260.52 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[49] Batch [1200] Speed: 260.52 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 250.10 samples/sec Train-accuracy=0.675625 | |
| INFO:root:Epoch[49] Batch [1250] Speed: 250.10 samples/sec Train-top_k_accuracy_5=0.870391 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 257.89 samples/sec Train-accuracy=0.669453 | |
| INFO:root:Epoch[49] Batch [1300] Speed: 257.89 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 269.08 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[49] Batch [1350] Speed: 269.08 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 257.56 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[49] Batch [1400] Speed: 257.56 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 258.98 samples/sec Train-accuracy=0.677422 | |
| INFO:root:Epoch[49] Batch [1450] Speed: 258.98 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 262.14 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[49] Batch [1500] Speed: 262.14 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 256.59 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[49] Batch [1550] Speed: 256.59 samples/sec Train-top_k_accuracy_5=0.868203 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 265.22 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[49] Batch [1600] Speed: 265.22 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 260.59 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[49] Batch [1650] Speed: 260.59 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 257.49 samples/sec Train-accuracy=0.665078 | |
| INFO:root:Epoch[49] Batch [1700] Speed: 257.49 samples/sec Train-top_k_accuracy_5=0.860625 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 268.47 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[49] Batch [1750] Speed: 268.47 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 261.26 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[49] Batch [1800] Speed: 261.26 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 259.40 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[49] Batch [1850] Speed: 259.40 samples/sec Train-top_k_accuracy_5=0.861563 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 263.12 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[49] Batch [1900] Speed: 263.12 samples/sec Train-top_k_accuracy_5=0.864141 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 256.38 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[49] Batch [1950] Speed: 256.38 samples/sec Train-top_k_accuracy_5=0.869297 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 257.28 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[49] Batch [2000] Speed: 257.28 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 263.35 samples/sec Train-accuracy=0.677969 | |
| INFO:root:Epoch[49] Batch [2050] Speed: 263.35 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 267.93 samples/sec Train-accuracy=0.680312 | |
| INFO:root:Epoch[49] Batch [2100] Speed: 267.93 samples/sec Train-top_k_accuracy_5=0.868359 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 255.23 samples/sec Train-accuracy=0.674609 | |
| INFO:root:Epoch[49] Batch [2150] Speed: 255.23 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 263.06 samples/sec Train-accuracy=0.685312 | |
| INFO:root:Epoch[49] Batch [2200] Speed: 263.06 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 265.84 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[49] Batch [2250] Speed: 265.84 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 241.58 samples/sec Train-accuracy=0.669922 | |
| INFO:root:Epoch[49] Batch [2300] Speed: 241.58 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 255.88 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[49] Batch [2350] Speed: 255.88 samples/sec Train-top_k_accuracy_5=0.871719 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 261.44 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[49] Batch [2400] Speed: 261.44 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 254.80 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[49] Batch [2450] Speed: 254.80 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 252.60 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[49] Batch [2500] Speed: 252.60 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 252.39 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[49] Batch [2550] Speed: 252.39 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 249.78 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[49] Batch [2600] Speed: 249.78 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 273.75 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[49] Batch [2650] Speed: 273.75 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 262.38 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[49] Batch [2700] Speed: 262.38 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 265.54 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[49] Batch [2750] Speed: 265.54 samples/sec Train-top_k_accuracy_5=0.871641 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 257.16 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[49] Batch [2800] Speed: 257.16 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 270.67 samples/sec Train-accuracy=0.675781 | |
| INFO:root:Epoch[49] Batch [2850] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 259.02 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[49] Batch [2900] Speed: 259.02 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 251.87 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[49] Batch [2950] Speed: 251.87 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 258.07 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[49] Batch [3000] Speed: 258.07 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 260.77 samples/sec Train-accuracy=0.665156 | |
| INFO:root:Epoch[49] Batch [3050] Speed: 260.77 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 262.49 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[49] Batch [3100] Speed: 262.49 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 248.48 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[49] Batch [3150] Speed: 248.48 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 261.45 samples/sec Train-accuracy=0.679141 | |
| INFO:root:Epoch[49] Batch [3200] Speed: 261.45 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 265.99 samples/sec Train-accuracy=0.665547 | |
| INFO:root:Epoch[49] Batch [3250] Speed: 265.99 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 276.84 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[49] Batch [3300] Speed: 276.84 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 261.15 samples/sec Train-accuracy=0.663203 | |
| INFO:root:Epoch[49] Batch [3350] Speed: 261.15 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 259.18 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[49] Batch [3400] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 259.43 samples/sec Train-accuracy=0.666016 | |
| INFO:root:Epoch[49] Batch [3450] Speed: 259.43 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 257.61 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[49] Batch [3500] Speed: 257.61 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 258.05 samples/sec Train-accuracy=0.680078 | |
| INFO:root:Epoch[49] Batch [3550] Speed: 258.05 samples/sec Train-top_k_accuracy_5=0.871406 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 264.33 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[49] Batch [3600] Speed: 264.33 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 263.70 samples/sec Train-accuracy=0.671406 | |
| INFO:root:Epoch[49] Batch [3650] Speed: 263.70 samples/sec Train-top_k_accuracy_5=0.859609 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 265.41 samples/sec Train-accuracy=0.676406 | |
| INFO:root:Epoch[49] Batch [3700] Speed: 265.41 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 259.88 samples/sec Train-accuracy=0.671484 | |
| INFO:root:Epoch[49] Batch [3750] Speed: 259.88 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 258.52 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[49] Batch [3800] Speed: 258.52 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 263.39 samples/sec Train-accuracy=0.683906 | |
| INFO:root:Epoch[49] Batch [3850] Speed: 263.39 samples/sec Train-top_k_accuracy_5=0.872031 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 271.95 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[49] Batch [3900] Speed: 271.95 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 269.48 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[49] Batch [3950] Speed: 269.48 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 275.81 samples/sec Train-accuracy=0.671719 | |
| INFO:root:Epoch[49] Batch [4000] Speed: 275.81 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 269.45 samples/sec Train-accuracy=0.683516 | |
| INFO:root:Epoch[49] Batch [4050] Speed: 269.45 samples/sec Train-top_k_accuracy_5=0.873359 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 273.37 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[49] Batch [4100] Speed: 273.37 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 260.21 samples/sec Train-accuracy=0.677031 | |
| INFO:root:Epoch[49] Batch [4150] Speed: 260.21 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 260.80 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[49] Batch [4200] Speed: 260.80 samples/sec Train-top_k_accuracy_5=0.864609 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 268.07 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[49] Batch [4250] Speed: 268.07 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 262.42 samples/sec Train-accuracy=0.681641 | |
| INFO:root:Epoch[49] Batch [4300] Speed: 262.42 samples/sec Train-top_k_accuracy_5=0.873047 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 274.44 samples/sec Train-accuracy=0.673672 | |
| INFO:root:Epoch[49] Batch [4350] Speed: 274.44 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 268.27 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[49] Batch [4400] Speed: 268.27 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 270.62 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[49] Batch [4450] Speed: 270.62 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 268.91 samples/sec Train-accuracy=0.679766 | |
| INFO:root:Epoch[49] Batch [4500] Speed: 268.91 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 259.90 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[49] Batch [4550] Speed: 259.90 samples/sec Train-top_k_accuracy_5=0.869687 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 257.77 samples/sec Train-accuracy=0.679453 | |
| INFO:root:Epoch[49] Batch [4600] Speed: 257.77 samples/sec Train-top_k_accuracy_5=0.872188 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 265.00 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[49] Batch [4650] Speed: 265.00 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 257.23 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[49] Batch [4700] Speed: 257.23 samples/sec Train-top_k_accuracy_5=0.870469 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 269.40 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[49] Batch [4750] Speed: 269.40 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 270.60 samples/sec Train-accuracy=0.676719 | |
| INFO:root:Epoch[49] Batch [4800] Speed: 270.60 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 276.03 samples/sec Train-accuracy=0.676562 | |
| INFO:root:Epoch[49] Batch [4850] Speed: 276.03 samples/sec Train-top_k_accuracy_5=0.873437 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 273.06 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[49] Batch [4900] Speed: 273.06 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[49] Batch [4950] Speed: 256.65 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[49] Batch [4950] Speed: 256.65 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[49] Batch [5000] Speed: 262.03 samples/sec Train-accuracy=0.683359 | |
| INFO:root:Epoch[49] Batch [5000] Speed: 262.03 samples/sec Train-top_k_accuracy_5=0.871250 | |
| INFO:root:Epoch[49] Resetting Data Iterator | |
| INFO:root:Epoch[49] Time cost=4897.878 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0050.params" | |
| INFO:root:Epoch[49] Validation-accuracy=0.706712 | |
| INFO:root:Epoch[49] Validation-top_k_accuracy_5=0.901208 | |
| INFO:root:Epoch[50] Batch [50] Speed: 284.71 samples/sec Train-accuracy=0.676016 | |
| INFO:root:Epoch[50] Batch [50] Speed: 284.71 samples/sec Train-top_k_accuracy_5=0.869375 | |
| INFO:root:Epoch[50] Batch [100] Speed: 276.54 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[50] Batch [100] Speed: 276.54 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[50] Batch [150] Speed: 277.60 samples/sec Train-accuracy=0.660937 | |
| INFO:root:Epoch[50] Batch [150] Speed: 277.60 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[50] Batch [200] Speed: 278.24 samples/sec Train-accuracy=0.677578 | |
| INFO:root:Epoch[50] Batch [200] Speed: 278.24 samples/sec Train-top_k_accuracy_5=0.870625 | |
| INFO:root:Epoch[50] Batch [250] Speed: 257.53 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[50] Batch [250] Speed: 257.53 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[50] Batch [300] Speed: 260.12 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[50] Batch [300] Speed: 260.12 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[50] Batch [350] Speed: 250.16 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[50] Batch [350] Speed: 250.16 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[50] Batch [400] Speed: 267.36 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[50] Batch [400] Speed: 267.36 samples/sec Train-top_k_accuracy_5=0.870938 | |
| INFO:root:Epoch[50] Batch [450] Speed: 265.30 samples/sec Train-accuracy=0.666953 | |
| INFO:root:Epoch[50] Batch [450] Speed: 265.30 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[50] Batch [500] Speed: 251.42 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[50] Batch [500] Speed: 251.42 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[50] Batch [550] Speed: 268.79 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[50] Batch [550] Speed: 268.79 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[50] Batch [600] Speed: 270.58 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[50] Batch [600] Speed: 270.58 samples/sec Train-top_k_accuracy_5=0.864766 | |
| INFO:root:Epoch[50] Batch [650] Speed: 267.29 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[50] Batch [650] Speed: 267.29 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[50] Batch [700] Speed: 262.25 samples/sec Train-accuracy=0.678125 | |
| INFO:root:Epoch[50] Batch [700] Speed: 262.25 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[50] Batch [750] Speed: 264.64 samples/sec Train-accuracy=0.679141 | |
| INFO:root:Epoch[50] Batch [750] Speed: 264.64 samples/sec Train-top_k_accuracy_5=0.869687 | |
| INFO:root:Epoch[50] Batch [800] Speed: 263.73 samples/sec Train-accuracy=0.671016 | |
| INFO:root:Epoch[50] Batch [800] Speed: 263.73 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[50] Batch [850] Speed: 258.25 samples/sec Train-accuracy=0.664766 | |
| INFO:root:Epoch[50] Batch [850] Speed: 258.25 samples/sec Train-top_k_accuracy_5=0.858750 | |
| INFO:root:Epoch[50] Batch [900] Speed: 266.70 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[50] Batch [900] Speed: 266.70 samples/sec Train-top_k_accuracy_5=0.860313 | |
| INFO:root:Epoch[50] Batch [950] Speed: 258.12 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[50] Batch [950] Speed: 258.12 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 266.38 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[50] Batch [1000] Speed: 266.38 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 270.67 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[50] Batch [1050] Speed: 270.67 samples/sec Train-top_k_accuracy_5=0.870781 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 271.82 samples/sec Train-accuracy=0.674531 | |
| INFO:root:Epoch[50] Batch [1100] Speed: 271.82 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 264.91 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[50] Batch [1150] Speed: 264.91 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 267.65 samples/sec Train-accuracy=0.670625 | |
| INFO:root:Epoch[50] Batch [1200] Speed: 267.65 samples/sec Train-top_k_accuracy_5=0.862891 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 263.55 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[50] Batch [1250] Speed: 263.55 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 258.38 samples/sec Train-accuracy=0.668438 | |
| INFO:root:Epoch[50] Batch [1300] Speed: 258.38 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 262.23 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[50] Batch [1350] Speed: 262.23 samples/sec Train-top_k_accuracy_5=0.863750 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 268.15 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[50] Batch [1400] Speed: 268.15 samples/sec Train-top_k_accuracy_5=0.863828 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 257.01 samples/sec Train-accuracy=0.680781 | |
| INFO:root:Epoch[50] Batch [1450] Speed: 257.01 samples/sec Train-top_k_accuracy_5=0.867656 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 264.73 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[50] Batch [1500] Speed: 264.73 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 264.88 samples/sec Train-accuracy=0.675078 | |
| INFO:root:Epoch[50] Batch [1550] Speed: 264.88 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 262.33 samples/sec Train-accuracy=0.675000 | |
| INFO:root:Epoch[50] Batch [1600] Speed: 262.33 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 261.95 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[50] Batch [1650] Speed: 261.95 samples/sec Train-top_k_accuracy_5=0.864062 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 259.32 samples/sec Train-accuracy=0.665625 | |
| INFO:root:Epoch[50] Batch [1700] Speed: 259.32 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 252.69 samples/sec Train-accuracy=0.667344 | |
| INFO:root:Epoch[50] Batch [1750] Speed: 252.69 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 248.66 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[50] Batch [1800] Speed: 248.66 samples/sec Train-top_k_accuracy_5=0.865156 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 249.26 samples/sec Train-accuracy=0.668125 | |
| INFO:root:Epoch[50] Batch [1850] Speed: 249.26 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 260.38 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[50] Batch [1900] Speed: 260.38 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 263.00 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[50] Batch [1950] Speed: 263.00 samples/sec Train-top_k_accuracy_5=0.869531 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 269.57 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[50] Batch [2000] Speed: 269.57 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 267.28 samples/sec Train-accuracy=0.669375 | |
| INFO:root:Epoch[50] Batch [2050] Speed: 267.28 samples/sec Train-top_k_accuracy_5=0.859766 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 276.62 samples/sec Train-accuracy=0.680234 | |
| INFO:root:Epoch[50] Batch [2100] Speed: 276.62 samples/sec Train-top_k_accuracy_5=0.871484 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 263.85 samples/sec Train-accuracy=0.684141 | |
| INFO:root:Epoch[50] Batch [2150] Speed: 263.85 samples/sec Train-top_k_accuracy_5=0.873281 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 257.39 samples/sec Train-accuracy=0.675859 | |
| INFO:root:Epoch[50] Batch [2200] Speed: 257.39 samples/sec Train-top_k_accuracy_5=0.870625 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 251.71 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[50] Batch [2250] Speed: 251.71 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 248.57 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[50] Batch [2300] Speed: 248.57 samples/sec Train-top_k_accuracy_5=0.864922 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 263.13 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[50] Batch [2350] Speed: 263.13 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 256.43 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[50] Batch [2400] Speed: 256.43 samples/sec Train-top_k_accuracy_5=0.861250 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 267.52 samples/sec Train-accuracy=0.662734 | |
| INFO:root:Epoch[50] Batch [2450] Speed: 267.52 samples/sec Train-top_k_accuracy_5=0.857109 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 258.95 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[50] Batch [2500] Speed: 258.95 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 247.38 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[50] Batch [2550] Speed: 247.38 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 263.06 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[50] Batch [2600] Speed: 263.06 samples/sec Train-top_k_accuracy_5=0.869687 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 265.17 samples/sec Train-accuracy=0.682422 | |
| INFO:root:Epoch[50] Batch [2650] Speed: 265.17 samples/sec Train-top_k_accuracy_5=0.868828 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 268.20 samples/sec Train-accuracy=0.672344 | |
| INFO:root:Epoch[50] Batch [2700] Speed: 268.20 samples/sec Train-top_k_accuracy_5=0.869687 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 255.84 samples/sec Train-accuracy=0.670859 | |
| INFO:root:Epoch[50] Batch [2750] Speed: 255.84 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 252.32 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[50] Batch [2800] Speed: 252.32 samples/sec Train-top_k_accuracy_5=0.863672 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 257.96 samples/sec Train-accuracy=0.673438 | |
| INFO:root:Epoch[50] Batch [2850] Speed: 257.96 samples/sec Train-top_k_accuracy_5=0.869766 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 256.23 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[50] Batch [2900] Speed: 256.23 samples/sec Train-top_k_accuracy_5=0.871328 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 259.55 samples/sec Train-accuracy=0.680937 | |
| INFO:root:Epoch[50] Batch [2950] Speed: 259.55 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 264.32 samples/sec Train-accuracy=0.669219 | |
| INFO:root:Epoch[50] Batch [3000] Speed: 264.32 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 264.27 samples/sec Train-accuracy=0.666094 | |
| INFO:root:Epoch[50] Batch [3050] Speed: 264.27 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 262.02 samples/sec Train-accuracy=0.681172 | |
| INFO:root:Epoch[50] Batch [3100] Speed: 262.02 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 260.17 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[50] Batch [3150] Speed: 260.17 samples/sec Train-top_k_accuracy_5=0.864844 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 272.92 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[50] Batch [3200] Speed: 272.92 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 275.45 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[50] Batch [3250] Speed: 275.45 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 262.30 samples/sec Train-accuracy=0.677656 | |
| INFO:root:Epoch[50] Batch [3300] Speed: 262.30 samples/sec Train-top_k_accuracy_5=0.871875 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 276.98 samples/sec Train-accuracy=0.667188 | |
| INFO:root:Epoch[50] Batch [3350] Speed: 276.98 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 277.57 samples/sec Train-accuracy=0.675547 | |
| INFO:root:Epoch[50] Batch [3400] Speed: 277.57 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 264.38 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[50] Batch [3450] Speed: 264.38 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 268.00 samples/sec Train-accuracy=0.680469 | |
| INFO:root:Epoch[50] Batch [3500] Speed: 268.00 samples/sec Train-top_k_accuracy_5=0.871094 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 271.73 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[50] Batch [3550] Speed: 271.73 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 245.78 samples/sec Train-accuracy=0.678125 | |
| INFO:root:Epoch[50] Batch [3600] Speed: 245.78 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 251.59 samples/sec Train-accuracy=0.676797 | |
| INFO:root:Epoch[50] Batch [3650] Speed: 251.59 samples/sec Train-top_k_accuracy_5=0.866328 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 262.47 samples/sec Train-accuracy=0.679531 | |
| INFO:root:Epoch[50] Batch [3700] Speed: 262.47 samples/sec Train-top_k_accuracy_5=0.874141 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 267.71 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[50] Batch [3750] Speed: 267.71 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 270.61 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[50] Batch [3800] Speed: 270.61 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 260.71 samples/sec Train-accuracy=0.676719 | |
| INFO:root:Epoch[50] Batch [3850] Speed: 260.71 samples/sec Train-top_k_accuracy_5=0.868203 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 251.18 samples/sec Train-accuracy=0.678906 | |
| INFO:root:Epoch[50] Batch [3900] Speed: 251.18 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 243.29 samples/sec Train-accuracy=0.677813 | |
| INFO:root:Epoch[50] Batch [3950] Speed: 243.29 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 253.20 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[50] Batch [4000] Speed: 253.20 samples/sec Train-top_k_accuracy_5=0.872812 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 263.12 samples/sec Train-accuracy=0.677422 | |
| INFO:root:Epoch[50] Batch [4050] Speed: 263.12 samples/sec Train-top_k_accuracy_5=0.868516 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 263.88 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[50] Batch [4100] Speed: 263.88 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 271.52 samples/sec Train-accuracy=0.677969 | |
| INFO:root:Epoch[50] Batch [4150] Speed: 271.52 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 266.23 samples/sec Train-accuracy=0.680000 | |
| INFO:root:Epoch[50] Batch [4200] Speed: 266.23 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 262.45 samples/sec Train-accuracy=0.665000 | |
| INFO:root:Epoch[50] Batch [4250] Speed: 262.45 samples/sec Train-top_k_accuracy_5=0.863437 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 268.72 samples/sec Train-accuracy=0.682344 | |
| INFO:root:Epoch[50] Batch [4300] Speed: 268.72 samples/sec Train-top_k_accuracy_5=0.871250 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 268.36 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[50] Batch [4350] Speed: 268.36 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 251.75 samples/sec Train-accuracy=0.684375 | |
| INFO:root:Epoch[50] Batch [4400] Speed: 251.75 samples/sec Train-top_k_accuracy_5=0.870156 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 252.54 samples/sec Train-accuracy=0.679063 | |
| INFO:root:Epoch[50] Batch [4450] Speed: 252.54 samples/sec Train-top_k_accuracy_5=0.872266 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 267.75 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[50] Batch [4500] Speed: 267.75 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 269.15 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[50] Batch [4550] Speed: 269.15 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 269.62 samples/sec Train-accuracy=0.676562 | |
| INFO:root:Epoch[50] Batch [4600] Speed: 269.62 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 262.17 samples/sec Train-accuracy=0.668203 | |
| INFO:root:Epoch[50] Batch [4650] Speed: 262.17 samples/sec Train-top_k_accuracy_5=0.867422 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 257.70 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[50] Batch [4700] Speed: 257.70 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 258.95 samples/sec Train-accuracy=0.667109 | |
| INFO:root:Epoch[50] Batch [4750] Speed: 258.95 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 250.75 samples/sec Train-accuracy=0.680234 | |
| INFO:root:Epoch[50] Batch [4800] Speed: 250.75 samples/sec Train-top_k_accuracy_5=0.871406 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 261.98 samples/sec Train-accuracy=0.676328 | |
| INFO:root:Epoch[50] Batch [4850] Speed: 261.98 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 247.35 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[50] Batch [4900] Speed: 247.35 samples/sec Train-top_k_accuracy_5=0.861641 | |
| INFO:root:Epoch[50] Batch [4950] Speed: 256.75 samples/sec Train-accuracy=0.673281 | |
| INFO:root:Epoch[50] Batch [4950] Speed: 256.75 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[50] Batch [5000] Speed: 251.84 samples/sec Train-accuracy=0.677891 | |
| INFO:root:Epoch[50] Batch [5000] Speed: 251.84 samples/sec Train-top_k_accuracy_5=0.868750 | |
| INFO:root:Epoch[50] Resetting Data Iterator | |
| INFO:root:Epoch[50] Time cost=4887.743 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0051.params" | |
| INFO:root:Epoch[50] Validation-accuracy=0.704301 | |
| INFO:root:Epoch[50] Validation-top_k_accuracy_5=0.898517 | |
| INFO:root:Epoch[51] Batch [50] Speed: 282.44 samples/sec Train-accuracy=0.676172 | |
| INFO:root:Epoch[51] Batch [50] Speed: 282.44 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[51] Batch [100] Speed: 277.79 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[51] Batch [100] Speed: 277.79 samples/sec Train-top_k_accuracy_5=0.863359 | |
| INFO:root:Epoch[51] Batch [150] Speed: 277.93 samples/sec Train-accuracy=0.665469 | |
| INFO:root:Epoch[51] Batch [150] Speed: 277.93 samples/sec Train-top_k_accuracy_5=0.862500 | |
| INFO:root:Epoch[51] Batch [200] Speed: 268.98 samples/sec Train-accuracy=0.672578 | |
| INFO:root:Epoch[51] Batch [200] Speed: 268.98 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[51] Batch [250] Speed: 260.86 samples/sec Train-accuracy=0.670234 | |
| INFO:root:Epoch[51] Batch [250] Speed: 260.86 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[51] Batch [300] Speed: 261.89 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[51] Batch [300] Speed: 261.89 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[51] Batch [350] Speed: 265.31 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[51] Batch [350] Speed: 265.31 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[51] Batch [400] Speed: 250.87 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[51] Batch [400] Speed: 250.87 samples/sec Train-top_k_accuracy_5=0.866172 | |
| INFO:root:Epoch[51] Batch [450] Speed: 265.52 samples/sec Train-accuracy=0.673047 | |
| INFO:root:Epoch[51] Batch [450] Speed: 265.52 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[51] Batch [500] Speed: 265.40 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[51] Batch [500] Speed: 265.40 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[51] Batch [550] Speed: 252.70 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[51] Batch [550] Speed: 252.70 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[51] Batch [600] Speed: 256.67 samples/sec Train-accuracy=0.670391 | |
| INFO:root:Epoch[51] Batch [600] Speed: 256.67 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[51] Batch [650] Speed: 269.46 samples/sec Train-accuracy=0.668828 | |
| INFO:root:Epoch[51] Batch [650] Speed: 269.46 samples/sec Train-top_k_accuracy_5=0.869297 | |
| INFO:root:Epoch[51] Batch [700] Speed: 269.65 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[51] Batch [700] Speed: 269.65 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[51] Batch [750] Speed: 275.57 samples/sec Train-accuracy=0.671562 | |
| INFO:root:Epoch[51] Batch [750] Speed: 275.57 samples/sec Train-top_k_accuracy_5=0.870547 | |
| INFO:root:Epoch[51] Batch [800] Speed: 277.10 samples/sec Train-accuracy=0.664297 | |
| INFO:root:Epoch[51] Batch [800] Speed: 277.10 samples/sec Train-top_k_accuracy_5=0.863594 | |
| INFO:root:Epoch[51] Batch [850] Speed: 266.71 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[51] Batch [850] Speed: 266.71 samples/sec Train-top_k_accuracy_5=0.861406 | |
| INFO:root:Epoch[51] Batch [900] Speed: 269.47 samples/sec Train-accuracy=0.673516 | |
| INFO:root:Epoch[51] Batch [900] Speed: 269.47 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[51] Batch [950] Speed: 265.08 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[51] Batch [950] Speed: 265.08 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 274.97 samples/sec Train-accuracy=0.666172 | |
| INFO:root:Epoch[51] Batch [1000] Speed: 274.97 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 263.88 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[51] Batch [1050] Speed: 263.88 samples/sec Train-top_k_accuracy_5=0.863906 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 272.10 samples/sec Train-accuracy=0.674063 | |
| INFO:root:Epoch[51] Batch [1100] Speed: 272.10 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 264.02 samples/sec Train-accuracy=0.670781 | |
| INFO:root:Epoch[51] Batch [1150] Speed: 264.02 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 269.34 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[51] Batch [1200] Speed: 269.34 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 265.85 samples/sec Train-accuracy=0.669297 | |
| INFO:root:Epoch[51] Batch [1250] Speed: 265.85 samples/sec Train-top_k_accuracy_5=0.865313 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 265.03 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[51] Batch [1300] Speed: 265.03 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 273.21 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[51] Batch [1350] Speed: 273.21 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 256.26 samples/sec Train-accuracy=0.674375 | |
| INFO:root:Epoch[51] Batch [1400] Speed: 256.26 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 260.33 samples/sec Train-accuracy=0.672891 | |
| INFO:root:Epoch[51] Batch [1450] Speed: 260.33 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 261.08 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[51] Batch [1500] Speed: 261.08 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 265.15 samples/sec Train-accuracy=0.674766 | |
| INFO:root:Epoch[51] Batch [1550] Speed: 265.15 samples/sec Train-top_k_accuracy_5=0.864531 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 268.36 samples/sec Train-accuracy=0.675469 | |
| INFO:root:Epoch[51] Batch [1600] Speed: 268.36 samples/sec Train-top_k_accuracy_5=0.867188 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 271.52 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[51] Batch [1650] Speed: 271.52 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 268.70 samples/sec Train-accuracy=0.665937 | |
| INFO:root:Epoch[51] Batch [1700] Speed: 268.70 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 263.21 samples/sec Train-accuracy=0.675625 | |
| INFO:root:Epoch[51] Batch [1750] Speed: 263.21 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 274.58 samples/sec Train-accuracy=0.671094 | |
| INFO:root:Epoch[51] Batch [1800] Speed: 274.58 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 267.97 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[51] Batch [1850] Speed: 267.97 samples/sec Train-top_k_accuracy_5=0.862109 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 273.82 samples/sec Train-accuracy=0.674687 | |
| INFO:root:Epoch[51] Batch [1900] Speed: 273.82 samples/sec Train-top_k_accuracy_5=0.864375 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 262.18 samples/sec Train-accuracy=0.674922 | |
| INFO:root:Epoch[51] Batch [1950] Speed: 262.18 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 252.75 samples/sec Train-accuracy=0.677344 | |
| INFO:root:Epoch[51] Batch [2000] Speed: 252.75 samples/sec Train-top_k_accuracy_5=0.866641 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 267.48 samples/sec Train-accuracy=0.672109 | |
| INFO:root:Epoch[51] Batch [2050] Speed: 267.48 samples/sec Train-top_k_accuracy_5=0.862812 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 277.49 samples/sec Train-accuracy=0.679688 | |
| INFO:root:Epoch[51] Batch [2100] Speed: 277.49 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 276.68 samples/sec Train-accuracy=0.681875 | |
| INFO:root:Epoch[51] Batch [2150] Speed: 276.68 samples/sec Train-top_k_accuracy_5=0.870547 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 276.07 samples/sec Train-accuracy=0.669609 | |
| INFO:root:Epoch[51] Batch [2200] Speed: 276.07 samples/sec Train-top_k_accuracy_5=0.864688 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 266.22 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[51] Batch [2250] Speed: 266.22 samples/sec Train-top_k_accuracy_5=0.869453 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 262.22 samples/sec Train-accuracy=0.673359 | |
| INFO:root:Epoch[51] Batch [2300] Speed: 262.22 samples/sec Train-top_k_accuracy_5=0.867500 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 271.98 samples/sec Train-accuracy=0.671953 | |
| INFO:root:Epoch[51] Batch [2350] Speed: 271.98 samples/sec Train-top_k_accuracy_5=0.869453 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 267.67 samples/sec Train-accuracy=0.667734 | |
| INFO:root:Epoch[51] Batch [2400] Speed: 267.67 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 271.69 samples/sec Train-accuracy=0.671875 | |
| INFO:root:Epoch[51] Batch [2450] Speed: 271.69 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 268.71 samples/sec Train-accuracy=0.676484 | |
| INFO:root:Epoch[51] Batch [2500] Speed: 268.71 samples/sec Train-top_k_accuracy_5=0.866563 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 273.51 samples/sec Train-accuracy=0.668750 | |
| INFO:root:Epoch[51] Batch [2550] Speed: 273.51 samples/sec Train-top_k_accuracy_5=0.867969 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 276.73 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[51] Batch [2600] Speed: 276.73 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 277.51 samples/sec Train-accuracy=0.675078 | |
| INFO:root:Epoch[51] Batch [2650] Speed: 277.51 samples/sec Train-top_k_accuracy_5=0.871719 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 275.46 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[51] Batch [2700] Speed: 275.46 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 259.18 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[51] Batch [2750] Speed: 259.18 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 271.37 samples/sec Train-accuracy=0.677891 | |
| INFO:root:Epoch[51] Batch [2800] Speed: 271.37 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 274.03 samples/sec Train-accuracy=0.678359 | |
| INFO:root:Epoch[51] Batch [2850] Speed: 274.03 samples/sec Train-top_k_accuracy_5=0.868672 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 274.27 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[51] Batch [2900] Speed: 274.27 samples/sec Train-top_k_accuracy_5=0.871172 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 271.43 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[51] Batch [2950] Speed: 271.43 samples/sec Train-top_k_accuracy_5=0.870703 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 267.35 samples/sec Train-accuracy=0.672813 | |
| INFO:root:Epoch[51] Batch [3000] Speed: 267.35 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 279.51 samples/sec Train-accuracy=0.672500 | |
| INFO:root:Epoch[51] Batch [3050] Speed: 279.51 samples/sec Train-top_k_accuracy_5=0.865469 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 258.70 samples/sec Train-accuracy=0.674844 | |
| INFO:root:Epoch[51] Batch [3100] Speed: 258.70 samples/sec Train-top_k_accuracy_5=0.864297 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 272.73 samples/sec Train-accuracy=0.671797 | |
| INFO:root:Epoch[51] Batch [3150] Speed: 272.73 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 258.13 samples/sec Train-accuracy=0.673125 | |
| INFO:root:Epoch[51] Batch [3200] Speed: 258.13 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 252.67 samples/sec Train-accuracy=0.668281 | |
| INFO:root:Epoch[51] Batch [3250] Speed: 252.67 samples/sec Train-top_k_accuracy_5=0.867812 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 268.01 samples/sec Train-accuracy=0.672656 | |
| INFO:root:Epoch[51] Batch [3300] Speed: 268.01 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 273.97 samples/sec Train-accuracy=0.670078 | |
| INFO:root:Epoch[51] Batch [3350] Speed: 273.97 samples/sec Train-top_k_accuracy_5=0.864453 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 274.33 samples/sec Train-accuracy=0.674453 | |
| INFO:root:Epoch[51] Batch [3400] Speed: 274.33 samples/sec Train-top_k_accuracy_5=0.866719 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 276.25 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[51] Batch [3450] Speed: 276.25 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 266.37 samples/sec Train-accuracy=0.673984 | |
| INFO:root:Epoch[51] Batch [3500] Speed: 266.37 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 272.18 samples/sec Train-accuracy=0.681328 | |
| INFO:root:Epoch[51] Batch [3550] Speed: 272.18 samples/sec Train-top_k_accuracy_5=0.873437 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 264.94 samples/sec Train-accuracy=0.677500 | |
| INFO:root:Epoch[51] Batch [3600] Speed: 264.94 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 272.40 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[51] Batch [3650] Speed: 272.40 samples/sec Train-top_k_accuracy_5=0.863281 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 265.27 samples/sec Train-accuracy=0.680469 | |
| INFO:root:Epoch[51] Batch [3700] Speed: 265.27 samples/sec Train-top_k_accuracy_5=0.868828 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 266.02 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[51] Batch [3750] Speed: 266.02 samples/sec Train-top_k_accuracy_5=0.865000 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 249.97 samples/sec Train-accuracy=0.678281 | |
| INFO:root:Epoch[51] Batch [3800] Speed: 249.97 samples/sec Train-top_k_accuracy_5=0.868359 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 253.90 samples/sec Train-accuracy=0.679375 | |
| INFO:root:Epoch[51] Batch [3850] Speed: 253.90 samples/sec Train-top_k_accuracy_5=0.866406 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 264.37 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[51] Batch [3900] Speed: 264.37 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 262.15 samples/sec Train-accuracy=0.677266 | |
| INFO:root:Epoch[51] Batch [3950] Speed: 262.15 samples/sec Train-top_k_accuracy_5=0.865625 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 258.98 samples/sec Train-accuracy=0.669687 | |
| INFO:root:Epoch[51] Batch [4000] Speed: 258.98 samples/sec Train-top_k_accuracy_5=0.865078 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 264.94 samples/sec Train-accuracy=0.671250 | |
| INFO:root:Epoch[51] Batch [4050] Speed: 264.94 samples/sec Train-top_k_accuracy_5=0.868906 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 273.19 samples/sec Train-accuracy=0.674297 | |
| INFO:root:Epoch[51] Batch [4100] Speed: 273.19 samples/sec Train-top_k_accuracy_5=0.865234 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 271.59 samples/sec Train-accuracy=0.680234 | |
| INFO:root:Epoch[51] Batch [4150] Speed: 271.59 samples/sec Train-top_k_accuracy_5=0.869062 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 271.48 samples/sec Train-accuracy=0.672734 | |
| INFO:root:Epoch[51] Batch [4200] Speed: 271.48 samples/sec Train-top_k_accuracy_5=0.866875 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 268.88 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[51] Batch [4250] Speed: 268.88 samples/sec Train-top_k_accuracy_5=0.867031 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 270.21 samples/sec Train-accuracy=0.677109 | |
| INFO:root:Epoch[51] Batch [4300] Speed: 270.21 samples/sec Train-top_k_accuracy_5=0.872500 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 264.59 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[51] Batch [4350] Speed: 264.59 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 268.05 samples/sec Train-accuracy=0.676641 | |
| INFO:root:Epoch[51] Batch [4400] Speed: 268.05 samples/sec Train-top_k_accuracy_5=0.868281 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 264.20 samples/sec Train-accuracy=0.678672 | |
| INFO:root:Epoch[51] Batch [4450] Speed: 264.20 samples/sec Train-top_k_accuracy_5=0.870078 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 258.32 samples/sec Train-accuracy=0.678828 | |
| INFO:root:Epoch[51] Batch [4500] Speed: 258.32 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 264.95 samples/sec Train-accuracy=0.677891 | |
| INFO:root:Epoch[51] Batch [4550] Speed: 264.95 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 270.30 samples/sec Train-accuracy=0.684688 | |
| INFO:root:Epoch[51] Batch [4600] Speed: 270.30 samples/sec Train-top_k_accuracy_5=0.876875 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 248.09 samples/sec Train-accuracy=0.666797 | |
| INFO:root:Epoch[51] Batch [4650] Speed: 248.09 samples/sec Train-top_k_accuracy_5=0.859688 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 258.82 samples/sec Train-accuracy=0.669063 | |
| INFO:root:Epoch[51] Batch [4700] Speed: 258.82 samples/sec Train-top_k_accuracy_5=0.867891 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 266.97 samples/sec Train-accuracy=0.668906 | |
| INFO:root:Epoch[51] Batch [4750] Speed: 266.97 samples/sec Train-top_k_accuracy_5=0.865547 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 259.91 samples/sec Train-accuracy=0.678203 | |
| INFO:root:Epoch[51] Batch [4800] Speed: 259.91 samples/sec Train-top_k_accuracy_5=0.866484 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 266.76 samples/sec Train-accuracy=0.678906 | |
| INFO:root:Epoch[51] Batch [4850] Speed: 266.76 samples/sec Train-top_k_accuracy_5=0.869922 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 262.78 samples/sec Train-accuracy=0.676094 | |
| INFO:root:Epoch[51] Batch [4900] Speed: 262.78 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[51] Batch [4950] Speed: 265.56 samples/sec Train-accuracy=0.666094 | |
| INFO:root:Epoch[51] Batch [4950] Speed: 265.56 samples/sec Train-top_k_accuracy_5=0.863984 | |
| INFO:root:Epoch[51] Batch [5000] Speed: 273.86 samples/sec Train-accuracy=0.673750 | |
| INFO:root:Epoch[51] Batch [5000] Speed: 273.86 samples/sec Train-top_k_accuracy_5=0.867734 | |
| INFO:root:Epoch[51] Resetting Data Iterator | |
| INFO:root:Epoch[51] Time cost=4798.619 | |
| INFO:root:Saved checkpoint to "model/resnet-imagenet-50-0-0052.params" | |
| INFO:root:Epoch[51] Validation-accuracy=0.704042 | |
| INFO:root:Epoch[51] Validation-top_k_accuracy_5=0.898996 | |
| INFO:root:Epoch[52] Batch [50] Speed: 281.83 samples/sec Train-accuracy=0.679609 | |
| INFO:root:Epoch[52] Batch [50] Speed: 281.83 samples/sec Train-top_k_accuracy_5=0.868594 | |
| INFO:root:Epoch[52] Batch [100] Speed: 276.98 samples/sec Train-accuracy=0.674141 | |
| INFO:root:Epoch[52] Batch [100] Speed: 276.98 samples/sec Train-top_k_accuracy_5=0.866016 | |
| INFO:root:Epoch[52] Batch [150] Speed: 276.97 samples/sec Train-accuracy=0.674609 | |
| INFO:root:Epoch[52] Batch [150] Speed: 276.97 samples/sec Train-top_k_accuracy_5=0.867344 | |
| INFO:root:Epoch[52] Batch [200] Speed: 280.18 samples/sec Train-accuracy=0.673906 | |
| INFO:root:Epoch[52] Batch [200] Speed: 280.18 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[52] Batch [250] Speed: 280.46 samples/sec Train-accuracy=0.675937 | |
| INFO:root:Epoch[52] Batch [250] Speed: 280.46 samples/sec Train-top_k_accuracy_5=0.871328 | |
| INFO:root:Epoch[52] Batch [300] Speed: 277.51 samples/sec Train-accuracy=0.670156 | |
| INFO:root:Epoch[52] Batch [300] Speed: 277.51 samples/sec Train-top_k_accuracy_5=0.867109 | |
| INFO:root:Epoch[52] Batch [350] Speed: 275.40 samples/sec Train-accuracy=0.675703 | |
| INFO:root:Epoch[52] Batch [350] Speed: 275.40 samples/sec Train-top_k_accuracy_5=0.866797 | |
| INFO:root:Epoch[52] Batch [400] Speed: 275.85 samples/sec Train-accuracy=0.677969 | |
| INFO:root:Epoch[52] Batch [400] Speed: 275.85 samples/sec Train-top_k_accuracy_5=0.873047 | |
| INFO:root:Epoch[52] Batch [450] Speed: 272.94 samples/sec Train-accuracy=0.670547 | |
| INFO:root:Epoch[52] Batch [450] Speed: 272.94 samples/sec Train-top_k_accuracy_5=0.867578 | |
| INFO:root:Epoch[52] Batch [500] Speed: 273.21 samples/sec Train-accuracy=0.672969 | |
| INFO:root:Epoch[52] Batch [500] Speed: 273.21 samples/sec Train-top_k_accuracy_5=0.869609 | |
| INFO:root:Epoch[52] Batch [550] Speed: 269.19 samples/sec Train-accuracy=0.676953 | |
| INFO:root:Epoch[52] Batch [550] Speed: 269.19 samples/sec Train-top_k_accuracy_5=0.872812 | |
| INFO:root:Epoch[52] Batch [600] Speed: 270.19 samples/sec Train-accuracy=0.664141 | |
| INFO:root:Epoch[52] Batch [600] Speed: 270.19 samples/sec Train-top_k_accuracy_5=0.865391 | |
| INFO:root:Epoch[52] Batch [650] Speed: 268.03 samples/sec Train-accuracy=0.669844 | |
| INFO:root:Epoch[52] Batch [650] Speed: 268.03 samples/sec Train-top_k_accuracy_5=0.869141 | |
| INFO:root:Epoch[52] Batch [700] Speed: 274.45 samples/sec Train-accuracy=0.672031 | |
| INFO:root:Epoch[52] Batch [700] Speed: 274.45 samples/sec Train-top_k_accuracy_5=0.870313 | |
| INFO:root:Epoch[52] Batch [750] Speed: 246.66 samples/sec Train-accuracy=0.672266 | |
| INFO:root:Epoch[52] Batch [750] Speed: 246.66 samples/sec Train-top_k_accuracy_5=0.867266 | |
| INFO:root:Epoch[52] Batch [800] Speed: 253.96 samples/sec Train-accuracy=0.669141 | |
| INFO:root:Epoch[52] Batch [800] Speed: 253.96 samples/sec Train-top_k_accuracy_5=0.861797 | |
| INFO:root:Epoch[52] Batch [850] Speed: 248.89 samples/sec Train-accuracy=0.665234 | |
| INFO:root:Epoch[52] Batch [850] Speed: 248.89 samples/sec Train-top_k_accuracy_5=0.862734 | |
| INFO:root:Epoch[52] Batch [900] Speed: 264.06 samples/sec Train-accuracy=0.672188 | |
| INFO:root:Epoch[52] Batch [900] Speed: 264.06 samples/sec Train-top_k_accuracy_5=0.866094 | |
| INFO:root:Epoch[52] Batch [950] Speed: 262.70 samples/sec Train-accuracy=0.675625 | |
| INFO:root:Epoch[52] Batch [950] Speed: 262.70 samples/sec Train-top_k_accuracy_5=0.866953 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 249.04 samples/sec Train-accuracy=0.667656 | |
| INFO:root:Epoch[52] Batch [1000] Speed: 249.04 samples/sec Train-top_k_accuracy_5=0.865703 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 260.44 samples/sec Train-accuracy=0.673203 | |
| INFO:root:Epoch[52] Batch [1050] Speed: 260.44 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 262.59 samples/sec Train-accuracy=0.678125 | |
| INFO:root:Epoch[52] Batch [1100] Speed: 262.59 samples/sec Train-top_k_accuracy_5=0.873203 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 262.15 samples/sec Train-accuracy=0.665391 | |
| INFO:root:Epoch[52] Batch [1150] Speed: 262.15 samples/sec Train-top_k_accuracy_5=0.865859 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 240.50 samples/sec Train-accuracy=0.670000 | |
| INFO:root:Epoch[52] Batch [1200] Speed: 240.50 samples/sec Train-top_k_accuracy_5=0.862266 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 255.47 samples/sec Train-accuracy=0.670937 | |
| INFO:root:Epoch[52] Batch [1250] Speed: 255.47 samples/sec Train-top_k_accuracy_5=0.873594 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 264.91 samples/sec Train-accuracy=0.676719 | |
| INFO:root:Epoch[52] Batch [1300] Speed: 264.91 samples/sec Train-top_k_accuracy_5=0.868359 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 248.50 samples/sec Train-accuracy=0.667969 | |
| INFO:root:Epoch[52] Batch [1350] Speed: 248.50 samples/sec Train-top_k_accuracy_5=0.861719 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 261.27 samples/sec Train-accuracy=0.676875 | |
| INFO:root:Epoch[52] Batch [1400] Speed: 261.27 samples/sec Train-top_k_accuracy_5=0.865938 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 251.25 samples/sec Train-accuracy=0.678438 | |
| INFO:root:Epoch[52] Batch [1450] Speed: 251.25 samples/sec Train-top_k_accuracy_5=0.872031 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 262.08 samples/sec Train-accuracy=0.674219 | |
| INFO:root:Epoch[52] Batch [1500] Speed: 262.08 samples/sec Train-top_k_accuracy_5=0.868047 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 258.06 samples/sec Train-accuracy=0.676797 | |
| INFO:root:Epoch[52] Batch [1550] Speed: 258.06 samples/sec Train-top_k_accuracy_5=0.869453 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 261.25 samples/sec Train-accuracy=0.671172 | |
| INFO:root:Epoch[52] Batch [1600] Speed: 261.25 samples/sec Train-top_k_accuracy_5=0.869453 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 258.47 samples/sec Train-accuracy=0.677188 | |
| INFO:root:Epoch[52] Batch [1650] Speed: 258.47 samples/sec Train-top_k_accuracy_5=0.872969 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 270.26 samples/sec Train-accuracy=0.668047 | |
| INFO:root:Epoch[52] Batch [1700] Speed: 270.26 samples/sec Train-top_k_accuracy_5=0.865781 | |
| INFO:root:Epoch[52] Batch [1750] Speed: 259.08 samples/sec Train-accuracy=0.675391 | |
| INFO:root:Epoch[52] Batch [1750] Speed: 259.08 samples/sec Train-top_k_accuracy_5=0.869844 | |
| INFO:root:Epoch[52] Batch [1800] Speed: 259.06 samples/sec Train-accuracy=0.665312 | |
| INFO:root:Epoch[52] Batch [1800] Speed: 259.06 samples/sec Train-top_k_accuracy_5=0.863516 | |
| INFO:root:Epoch[52] Batch [1850] Speed: 251.98 samples/sec Train-accuracy=0.670703 | |
| INFO:root:Epoch[52] Batch [1850] Speed: 251.98 samples/sec Train-top_k_accuracy_5=0.875313 | |
| INFO:root:Epoch[52] Batch [1900] Speed: 246.35 samples/sec Train-accuracy=0.674609 | |
| INFO:root:Epoch[52] Batch [1900] Speed: 246.35 samples/sec Train-top_k_accuracy_5=0.861875 | |
| INFO:root:Epoch[52] Batch [1950] Speed: 265.37 samples/sec Train-accuracy= |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment