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中文车牌识别 round 1 test
wanghaisheng edited this page Sep 28, 2016
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1 revision
[wanghs@db2 end-to-end-for-chinese-plate-recognition]$ python train.py
start
start
[17:48:04] src/operator/./reshape-inl.h:270: Using target_shape will be deprecated.
2016-09-22 17:48:04,351 Start training with [cpu(30)]
[17:48:04] src/operator/./reshape-inl.h:270: Using target_shape will be deprecated.
[17:48:04] src/operator/./reshape-inl.h:270: Using target_shape will be deprecated.
[17:48:04] src/operator/./reshape-inl.h:270: Using target_shape will be deprecated.
2016-09-22 17:48:40,844 Epoch[0] Batch [50] Speed: 11.13 samples/sec Train-Accuracy=0.000000
2016-09-22 17:49:17,390 Epoch[0] Batch [100] Speed: 10.95 samples/sec Train-Accuracy=0.000000
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2016-09-22 18:27:24,913 Epoch[0] Batch [3100] Speed: 10.96 samples/sec Train-Accuracy=0.004286
2016-09-22 18:28:06,007 Epoch[0] Batch [3150] Speed: 9.73 samples/sec Train-Accuracy=0.007143
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2016-09-22 18:38:52,362 Epoch[0] Batch [4000] Speed: 10.03 samples/sec Train-Accuracy=0.010000
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2016-09-22 18:40:46,291 Epoch[0] Batch [4150] Speed: 10.55 samples/sec Train-Accuracy=0.011429
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2016-09-22 18:43:47,648 Epoch[0] Batch [4400] Speed: 11.08 samples/sec Train-Accuracy=0.015714
2016-09-22 18:44:23,702 Epoch[0] Batch [4450] Speed: 11.09 samples/sec Train-Accuracy=0.027143
2016-09-22 18:44:59,699 Epoch[0] Batch [4500] Speed: 11.11 samples/sec Train-Accuracy=0.008571
2016-09-22 18:45:35,720 Epoch[0] Batch [4550] Speed: 11.10 samples/sec Train-Accuracy=0.018571
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2016-09-22 18:46:48,001 Epoch[0] Batch [4650] Speed: 11.05 samples/sec Train-Accuracy=0.024286
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2016-09-22 18:48:01,029 Epoch[0] Batch [4750] Speed: 11.09 samples/sec Train-Accuracy=0.014286
2016-09-22 18:48:37,479 Epoch[0] Batch [4800] Speed: 10.97 samples/sec Train-Accuracy=0.022857
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2016-09-22 18:49:49,467 Epoch[0] Batch [4900] Speed: 11.12 samples/sec Train-Accuracy=0.025714
2016-09-22 18:50:25,478 Epoch[0] Batch [4950] Speed: 11.11 samples/sec Train-Accuracy=0.018571
2016-09-22 18:51:04,433 Epoch[0] Batch [5000] Speed: 10.27 samples/sec Train-Accuracy=0.022857
2016-09-22 18:51:46,556 Epoch[0] Batch [5050] Speed: 9.50 samples/sec Train-Accuracy=0.021429
2016-09-22 18:52:28,151 Epoch[0] Batch [5100] Speed: 9.62 samples/sec Train-Accuracy=0.017143
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2016-09-22 18:55:51,170 Epoch[0] Batch [5350] Speed: 11.07 samples/sec Train-Accuracy=0.015714
2016-09-22 18:56:27,273 Epoch[0] Batch [5400] Speed: 11.08 samples/sec Train-Accuracy=0.032857
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2016-09-22 19:45:55,561 Epoch[0] Batch [9400] Speed: 11.06 samples/sec Train-Accuracy=0.090000
2016-09-22 19:46:31,677 Epoch[0] Batch [9450] Speed: 11.08 samples/sec Train-Accuracy=0.107143
2016-09-22 19:47:09,207 Epoch[0] Batch [9500] Speed: 10.66 samples/sec Train-Accuracy=0.098571
2016-09-22 19:47:51,305 Epoch[0] Batch [9550] Speed: 9.50 samples/sec Train-Accuracy=0.105714
2016-09-22 19:48:27,876 Epoch[0] Batch [9600] Speed: 10.94 samples/sec Train-Accuracy=0.102857
2016-09-22 19:49:04,160 Epoch[0] Batch [9650] Speed: 11.02 samples/sec Train-Accuracy=0.094286
2016-09-22 19:49:40,319 Epoch[0] Batch [9700] Speed: 11.06 samples/sec Train-Accuracy=0.078571
2016-09-22 19:50:16,841 Epoch[0] Batch [9750] Speed: 10.95 samples/sec Train-Accuracy=0.111429
2016-09-22 19:50:53,707 Epoch[0] Batch [9800] Speed: 10.85 samples/sec Train-Accuracy=0.102857
2016-09-22 19:51:31,153 Epoch[0] Batch [9850] Speed: 10.68 samples/sec Train-Accuracy=0.104286
2016-09-22 19:52:07,289 Epoch[0] Batch [9900] Speed: 11.07 samples/sec Train-Accuracy=0.105714
2016-09-22 19:52:43,432 Epoch[0] Batch [9950] Speed: 11.07 samples/sec Train-Accuracy=0.120000
2016-09-22 19:53:19,840 Epoch[0] Batch [10000] Speed: 10.99 samples/sec Train-Accuracy=0.100000
2016-09-22 19:53:56,068 Epoch[0] Batch [10050] Speed: 11.04 samples/sec Train-Accuracy=0.121429
2016-09-22 19:54:33,079 Epoch[0] Batch [10100] Speed: 10.81 samples/sec Train-Accuracy=0.124286
2016-09-22 19:55:15,397 Epoch[0] Batch [10150] Speed: 9.45 samples/sec Train-Accuracy=0.107143
2016-09-22 19:55:58,597 Epoch[0] Batch [10200] Speed: 9.26 samples/sec Train-Accuracy=0.118571
2016-09-22 19:56:36,167 Epoch[0] Batch [10250] Speed: 10.65 samples/sec Train-Accuracy=0.117143
2016-09-22 19:57:12,263 Epoch[0] Batch [10300] Speed: 11.08 samples/sec Train-Accuracy=0.111429
2016-09-22 19:57:48,975 Epoch[0] Batch [10350] Speed: 10.90 samples/sec Train-Accuracy=0.115714
2016-09-22 19:58:27,543 Epoch[0] Batch [10400] Speed: 10.37 samples/sec Train-Accuracy=0.104286
2016-09-22 19:59:06,262 Epoch[0] Batch [10450] Speed: 10.33 samples/sec Train-Accuracy=0.132857
2016-09-22 19:59:45,190 Epoch[0] Batch [10500] Speed: 10.28 samples/sec Train-Accuracy=0.114286
2016-09-22 20:00:23,348 Epoch[0] Batch [10550] Speed: 10.48 samples/sec Train-Accuracy=0.114286
2016-09-22 20:01:01,361 Epoch[0] Batch [10600] Speed: 10.52 samples/sec Train-Accuracy=0.101429
2016-09-22 20:01:39,558 Epoch[0] Batch [10650] Speed: 10.47 samples/sec Train-Accuracy=0.112857
2016-09-22 20:02:17,453 Epoch[0] Batch [10700] Speed: 10.56 samples/sec Train-Accuracy=0.121429
2016-09-22 20:02:57,255 Epoch[0] Batch [10750] Speed: 10.05 samples/sec Train-Accuracy=0.128571
2016-09-22 20:03:35,285 Epoch[0] Batch [10800] Speed: 10.52 samples/sec Train-Accuracy=0.135714
2016-09-22 20:04:13,467 Epoch[0] Batch [10850] Speed: 10.48 samples/sec Train-Accuracy=0.127143
2016-09-22 20:04:53,739 Epoch[0] Batch [10900] Speed: 9.93 samples/sec Train-Accuracy=0.131429
2016-09-22 20:05:32,687 Epoch[0] Batch [10950] Speed: 10.27 samples/sec Train-Accuracy=0.114286
2016-09-22 20:06:12,223 Epoch[0] Batch [11000] Speed: 10.12 samples/sec Train-Accuracy=0.140000
2016-09-22 20:06:52,259 Epoch[0] Batch [11050] Speed: 9.99 samples/sec Train-Accuracy=0.121429
2016-09-22 20:07:31,928 Epoch[0] Batch [11100] Speed: 10.08 samples/sec Train-Accuracy=0.130000
2016-09-22 20:08:10,204 Epoch[0] Batch [11150] Speed: 10.45 samples/sec Train-Accuracy=0.130000
2016-09-22 20:08:48,505 Epoch[0] Batch [11200] Speed: 10.44 samples/sec Train-Accuracy=0.127143
2016-09-22 20:09:26,747 Epoch[0] Batch [11250] Speed: 10.46 samples/sec Train-Accuracy=0.134286
2016-09-22 20:10:05,044 Epoch[0] Batch [11300] Speed: 10.44 samples/sec Train-Accuracy=0.138571
2016-09-22 20:10:43,326 Epoch[0] Batch [11350] Speed: 10.45 samples/sec Train-Accuracy=0.132857
2016-09-22 20:11:21,813 Epoch[0] Batch [11400] Speed: 10.39 samples/sec Train-Accuracy=0.141429
2016-09-22 20:12:00,152 Epoch[0] Batch [11450] Speed: 10.43 samples/sec Train-Accuracy=0.137143
2016-09-22 20:12:37,396 Epoch[0] Batch [11500] Speed: 10.74 samples/sec Train-Accuracy=0.131429
2016-09-22 20:13:14,686 Epoch[0] Batch [11550] Speed: 10.73 samples/sec Train-Accuracy=0.144286
2016-09-22 20:13:51,418 Epoch[0] Batch [11600] Speed: 10.89 samples/sec Train-Accuracy=0.150000
2016-09-22 20:14:28,723 Epoch[0] Batch [11650] Speed: 10.72 samples/sec Train-Accuracy=0.124286
2016-09-22 20:15:08,977 Epoch[0] Batch [11700] Speed: 9.94 samples/sec Train-Accuracy=0.144286
2016-09-22 20:15:48,274 Epoch[0] Batch [11750] Speed: 10.18 samples/sec Train-Accuracy=0.145714
2016-09-22 20:16:31,094 Epoch[0] Batch [11800] Speed: 9.34 samples/sec Train-Accuracy=0.148571
2016-09-22 20:17:12,833 Epoch[0] Batch [11850] Speed: 9.58 samples/sec Train-Accuracy=0.128571
2016-09-22 20:17:53,880 Epoch[0] Batch [11900] Speed: 9.74 samples/sec Train-Accuracy=0.158571
2016-09-22 20:18:30,289 Epoch[0] Batch [11950] Speed: 10.99 samples/sec Train-Accuracy=0.154286
2016-09-22 20:19:09,496 Epoch[0] Batch [12000] Speed: 10.20 samples/sec Train-Accuracy=0.152857
2016-09-22 20:19:46,546 Epoch[0] Batch [12050] Speed: 10.80 samples/sec Train-Accuracy=0.151429
2016-09-22 20:20:23,070 Epoch[0] Batch [12100] Speed: 10.95 samples/sec Train-Accuracy=0.154286
2016-09-22 20:20:59,575 Epoch[0] Batch [12150] Speed: 10.96 samples/sec Train-Accuracy=0.164286
2016-09-22 20:21:36,080 Epoch[0] Batch [12200] Speed: 10.96 samples/sec Train-Accuracy=0.158571
2016-09-22 20:22:12,594 Epoch[0] Batch [12250] Speed: 10.95 samples/sec Train-Accuracy=0.150000
2016-09-22 20:22:48,954 Epoch[0] Batch [12300] Speed: 11.00 samples/sec Train-Accuracy=0.157143
2016-09-22 20:23:25,389 Epoch[0] Batch [12350] Speed: 10.98 samples/sec Train-Accuracy=0.157143
2016-09-22 20:24:02,007 Epoch[0] Batch [12400] Speed: 10.92 samples/sec Train-Accuracy=0.157143
2016-09-22 20:24:38,493 Epoch[0] Batch [12450] Speed: 10.96 samples/sec Train-Accuracy=0.148571
2016-09-22 20:25:14,991 Epoch[0] Batch [12500] Speed: 10.96 samples/sec Train-Accuracy=0.168571
2016-09-22 20:25:52,243 Epoch[0] Batch [12550] Speed: 10.74 samples/sec Train-Accuracy=0.142857
2016-09-22 20:26:28,673 Epoch[0] Batch [12600] Speed: 10.98 samples/sec Train-Accuracy=0.171429
2016-09-22 20:27:05,354 Epoch[0] Batch [12650] Speed: 10.90 samples/sec Train-Accuracy=0.172857
2016-09-22 20:27:41,889 Epoch[0] Batch [12700] Speed: 10.95 samples/sec Train-Accuracy=0.164286
2016-09-22 20:28:18,993 Epoch[0] Batch [12750] Speed: 10.78 samples/sec Train-Accuracy=0.178571
2016-09-22 20:28:59,167 Epoch[0] Batch [12800] Speed: 9.96 samples/sec Train-Accuracy=0.158571
2016-09-22 20:29:37,918 Epoch[0] Batch [12850] Speed: 10.32 samples/sec Train-Accuracy=0.152857
2016-09-22 20:30:16,460 Epoch[0] Batch [12900] Speed: 10.38 samples/sec Train-Accuracy=0.162857
2016-09-22 20:30:53,575 Epoch[0] Batch [12950] Speed: 10.78 samples/sec Train-Accuracy=0.180000
2016-09-22 20:31:30,799 Epoch[0] Batch [13000] Speed: 10.75 samples/sec Train-Accuracy=0.185714
2016-09-22 20:32:08,817 Epoch[0] Batch [13050] Speed: 10.52 samples/sec Train-Accuracy=0.191429
2016-09-22 20:32:46,202 Epoch[0] Batch [13100] Speed: 10.70 samples/sec Train-Accuracy=0.182857
2016-09-22 20:33:25,142 Epoch[0] Batch [13150] Speed: 10.27 samples/sec Train-Accuracy=0.184286
2016-09-22 20:34:03,715 Epoch[0] Batch [13200] Speed: 10.37 samples/sec Train-Accuracy=0.171429
2016-09-22 20:34:41,869 Epoch[0] Batch [13250] Speed: 10.48 samples/sec Train-Accuracy=0.161429
2016-09-22 20:35:18,424 Epoch[0] Batch [13300] Speed: 10.94 samples/sec Train-Accuracy=0.168571
2016-09-22 20:35:55,100 Epoch[0] Batch [13350] Speed: 10.91 samples/sec Train-Accuracy=0.175714
2016-09-22 20:36:31,771 Epoch[0] Batch [13400] Speed: 10.91 samples/sec Train-Accuracy=0.177143
2016-09-22 20:37:08,466 Epoch[0] Batch [13450] Speed: 10.90 samples/sec Train-Accuracy=0.181429
2016-09-22 20:37:44,957 Epoch[0] Batch [13500] Speed: 10.96 samples/sec Train-Accuracy=0.162857
2016-09-22 20:38:23,591 Epoch[0] Batch [13550] Speed: 10.35 samples/sec Train-Accuracy=0.170000
2016-09-22 20:39:00,139 Epoch[0] Batch [13600] Speed: 10.94 samples/sec Train-Accuracy=0.192857
2016-09-22 20:39:36,612 Epoch[0] Batch [13650] Speed: 10.97 samples/sec Train-Accuracy=0.191429
2016-09-22 20:40:13,352 Epoch[0] Batch [13700] Speed: 10.89 samples/sec Train-Accuracy=0.208571
2016-09-22 20:40:50,186 Epoch[0] Batch [13750] Speed: 10.86 samples/sec Train-Accuracy=0.187143
2016-09-22 20:41:26,914 Epoch[0] Batch [13800] Speed: 10.89 samples/sec Train-Accuracy=0.202857
2016-09-22 20:42:03,540 Epoch[0] Batch [13850] Speed: 10.92 samples/sec Train-Accuracy=0.180000
2016-09-22 20:42:40,157 Epoch[0] Batch [13900] Speed: 10.92 samples/sec Train-Accuracy=0.215714
2016-09-22 20:43:16,728 Epoch[0] Batch [13950] Speed: 10.94 samples/sec Train-Accuracy=0.201429
2016-09-22 20:43:53,336 Epoch[0] Batch [14000] Speed: 10.93 samples/sec Train-Accuracy=0.214286
2016-09-22 20:44:30,366 Epoch[0] Batch [14050] Speed: 10.80 samples/sec Train-Accuracy=0.181429
2016-09-22 20:45:06,897 Epoch[0] Batch [14100] Speed: 10.95 samples/sec Train-Accuracy=0.178571
2016-09-22 20:45:43,576 Epoch[0] Batch [14150] Speed: 10.91 samples/sec Train-Accuracy=0.187143
2016-09-22 20:46:20,269 Epoch[0] Batch [14200] Speed: 10.90 samples/sec Train-Accuracy=0.170000
2016-09-22 20:46:57,203 Epoch[0] Batch [14250] Speed: 10.83 samples/sec Train-Accuracy=0.217143
2016-09-22 20:47:33,682 Epoch[0] Batch [14300] Speed: 10.97 samples/sec Train-Accuracy=0.212857
2016-09-22 20:48:10,249 Epoch[0] Batch [14350] Speed: 10.94 samples/sec Train-Accuracy=0.220000
2016-09-22 20:48:46,872 Epoch[0] Batch [14400] Speed: 10.92 samples/sec Train-Accuracy=0.190000
2016-09-22 20:49:23,663 Epoch[0] Batch [14450] Speed: 10.87 samples/sec Train-Accuracy=0.172857
2016-09-22 20:50:00,061 Epoch[0] Batch [14500] Speed: 10.99 samples/sec Train-Accuracy=0.185714
2016-09-22 20:50:36,749 Epoch[0] Batch [14550] Speed: 10.90 samples/sec Train-Accuracy=0.182857
2016-09-22 20:51:13,400 Epoch[0] Batch [14600] Speed: 10.91 samples/sec Train-Accuracy=0.204286
2016-09-22 20:51:49,951 Epoch[0] Batch [14650] Speed: 10.94 samples/sec Train-Accuracy=0.197143
2016-09-22 20:52:26,531 Epoch[0] Batch [14700] Speed: 10.94 samples/sec Train-Accuracy=0.214286
2016-09-22 20:53:03,132 Epoch[0] Batch [14750] Speed: 10.93 samples/sec Train-Accuracy=0.207143
2016-09-22 20:53:39,719 Epoch[0] Batch [14800] Speed: 10.93 samples/sec Train-Accuracy=0.217143
2016-09-22 20:54:21,524 Epoch[0] Batch [14850] Speed: 9.57 samples/sec Train-Accuracy=0.218571
2016-09-22 20:55:01,058 Epoch[0] Batch [14900] Speed: 10.12 samples/sec Train-Accuracy=0.207143
2016-09-22 20:55:38,371 Epoch[0] Batch [14950] Speed: 10.72 samples/sec Train-Accuracy=0.215714
2016-09-22 20:56:15,753 Epoch[0] Batch [15000] Speed: 10.70 samples/sec Train-Accuracy=0.214286
2016-09-22 20:56:53,102 Epoch[0] Batch [15050] Speed: 10.71 samples/sec Train-Accuracy=0.188571
2016-09-22 20:57:30,460 Epoch[0] Batch [15100] Speed: 10.71 samples/sec Train-Accuracy=0.190000
2016-09-22 20:58:07,948 Epoch[0] Batch [15150] Speed: 10.67 samples/sec Train-Accuracy=0.235714
2016-09-22 20:58:46,917 Epoch[0] Batch [15200] Speed: 10.26 samples/sec Train-Accuracy=0.194286
2016-09-22 20:59:27,210 Epoch[0] Batch [15250] Speed: 9.93 samples/sec Train-Accuracy=0.225714
2016-09-22 21:00:04,477 Epoch[0] Batch [15300] Speed: 10.73 samples/sec Train-Accuracy=0.220000
2016-09-22 21:00:41,760 Epoch[0] Batch [15350] Speed: 10.73 samples/sec Train-Accuracy=0.201429
2016-09-22 21:01:19,106 Epoch[0] Batch [15400] Speed: 10.71 samples/sec Train-Accuracy=0.212857
2016-09-22 21:01:56,313 Epoch[0] Batch [15450] Speed: 10.75 samples/sec Train-Accuracy=0.217143
2016-09-22 21:02:33,689 Epoch[0] Batch [15500] Speed: 10.70 samples/sec Train-Accuracy=0.228571
2016-09-22 21:03:11,172 Epoch[0] Batch [15550] Speed: 10.67 samples/sec Train-Accuracy=0.221429
2016-09-22 21:03:50,582 Epoch[0] Batch [15600] Speed: 10.15 samples/sec Train-Accuracy=0.211429
2016-09-22 21:04:28,069 Epoch[0] Batch [15650] Speed: 10.67 samples/sec Train-Accuracy=0.207143
2016-09-22 21:05:05,628 Epoch[0] Batch [15700] Speed: 10.65 samples/sec Train-Accuracy=0.210000
2016-09-22 21:05:43,531 Epoch[0] Batch [15750] Speed: 10.55 samples/sec Train-Accuracy=0.215714
2016-09-22 21:06:21,678 Epoch[0] Batch [15800] Speed: 10.49 samples/sec Train-Accuracy=0.212857
2016-09-22 21:06:59,740 Epoch[0] Batch [15850] Speed: 10.51 samples/sec Train-Accuracy=0.247143
2016-09-22 21:07:37,491 Epoch[0] Batch [15900] Speed: 10.60 samples/sec Train-Accuracy=0.231429
2016-09-22 21:08:15,420 Epoch[0] Batch [15950] Speed: 10.55 samples/sec Train-Accuracy=0.214286
2016-09-22 21:08:55,137 Epoch[0] Batch [16000] Speed: 10.07 samples/sec Train-Accuracy=0.240000
2016-09-22 21:09:33,162 Epoch[0] Batch [16050] Speed: 10.52 samples/sec Train-Accuracy=0.228571
2016-09-22 21:10:10,556 Epoch[0] Batch [16100] Speed: 10.70 samples/sec Train-Accuracy=0.242857
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2016-09-22 21:12:00,934 Epoch[0] Batch [16250] Speed: 10.95 samples/sec Train-Accuracy=0.232857
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2016-09-22 21:13:14,107 Epoch[0] Batch [16350] Speed: 11.03 samples/sec Train-Accuracy=0.208571
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2016-09-22 21:14:26,768 Epoch[0] Batch [16450] Speed: 11.00 samples/sec Train-Accuracy=0.240000
2016-09-22 21:15:03,007 Epoch[0] Batch [16500] Speed: 11.04 samples/sec Train-Accuracy=0.211429
2016-09-22 21:15:39,304 Epoch[0] Batch [16550] Speed: 11.02 samples/sec Train-Accuracy=0.244286
2016-09-22 21:16:15,648 Epoch[0] Batch [16600] Speed: 11.01 samples/sec Train-Accuracy=0.234286
2016-09-22 21:16:51,916 Epoch[0] Batch [16650] Speed: 11.03 samples/sec Train-Accuracy=0.202857
2016-09-22 21:17:28,261 Epoch[0] Batch [16700] Speed: 11.01 samples/sec Train-Accuracy=0.238571
2016-09-22 21:18:04,495 Epoch[0] Batch [16750] Speed: 11.04 samples/sec Train-Accuracy=0.231429
2016-09-22 21:18:40,622 Epoch[0] Batch [16800] Speed: 11.07 samples/sec Train-Accuracy=0.254286
2016-09-22 21:19:16,952 Epoch[0] Batch [16850] Speed: 11.01 samples/sec Train-Accuracy=0.251429
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2016-09-22 21:20:35,041 Epoch[0] Batch [16950] Speed: 9.86 samples/sec Train-Accuracy=0.235714
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2016-09-22 21:22:32,709 Epoch[0] Batch [17100] Speed: 10.80 samples/sec Train-Accuracy=0.271429
2016-09-22 21:23:08,813 Epoch[0] Batch [17150] Speed: 11.08 samples/sec Train-Accuracy=0.238571
2016-09-22 21:23:45,043 Epoch[0] Batch [17200] Speed: 11.04 samples/sec Train-Accuracy=0.245714
2016-09-22 21:24:21,326 Epoch[0] Batch [17250] Speed: 11.02 samples/sec Train-Accuracy=0.271429
2016-09-22 21:24:57,506 Epoch[0] Batch [17300] Speed: 11.06 samples/sec Train-Accuracy=0.257143
2016-09-22 21:25:33,636 Epoch[0] Batch [17350] Speed: 11.07 samples/sec Train-Accuracy=0.245714
2016-09-22 21:26:09,751 Epoch[0] Batch [17400] Speed: 11.08 samples/sec Train-Accuracy=0.274286
2016-09-22 21:26:48,661 Epoch[0] Batch [17450] Speed: 10.28 samples/sec Train-Accuracy=0.268571
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2016-09-22 21:31:23,105 Epoch[0] Batch [17800] Speed: 9.89 samples/sec Train-Accuracy=0.240000
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2016-09-22 21:37:07,434 Epoch[0] Batch [18250] Speed: 11.10 samples/sec Train-Accuracy=0.272857
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2016-09-22 21:41:58,483 Epoch[0] Batch [18650] Speed: 11.10 samples/sec Train-Accuracy=0.284286
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2016-09-22 21:45:47,785 Epoch[0] Batch [18950] Speed: 9.88 samples/sec Train-Accuracy=0.298571
2016-09-22 21:46:30,142 Epoch[0] Batch [19000] Speed: 9.44 samples/sec Train-Accuracy=0.280000
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2016-09-22 21:49:41,628 Epoch[0] Batch [19250] Speed: 11.06 samples/sec Train-Accuracy=0.271429
2016-09-22 21:50:17,920 Epoch[0] Batch [19300] Speed: 11.02 samples/sec Train-Accuracy=0.287143
2016-09-22 21:50:56,354 Epoch[0] Batch [19350] Speed: 10.41 samples/sec Train-Accuracy=0.267143
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2016-09-22 21:54:12,924 Epoch[0] Batch [19600] Speed: 11.04 samples/sec Train-Accuracy=0.305714
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2016-09-22 21:55:25,422 Epoch[0] Batch [19700] Speed: 10.98 samples/sec Train-Accuracy=0.291429
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2016-09-22 21:56:37,873 Epoch[0] Batch [19800] Speed: 11.05 samples/sec Train-Accuracy=0.284286
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2016-09-22 21:58:01,294 Epoch[0] Batch [19900] Speed: 9.52 samples/sec Train-Accuracy=0.291429
2016-09-22 21:58:40,042 Epoch[0] Batch [19950] Speed: 10.32 samples/sec Train-Accuracy=0.317143
2016-09-22 21:59:16,475 Epoch[0] Batch [20000] Speed: 10.98 samples/sec Train-Accuracy=0.290000
2016-09-22 21:59:56,438 Epoch[0] Batch [20050] Speed: 10.01 samples/sec Train-Accuracy=0.301429
2016-09-22 22:00:35,021 Epoch[0] Batch [20100] Speed: 10.37 samples/sec Train-Accuracy=0.290000
2016-09-22 22:01:14,249 Epoch[0] Batch [20150] Speed: 10.20 samples/sec Train-Accuracy=0.271429
2016-09-22 22:01:52,548 Epoch[0] Batch [20200] Speed: 10.44 samples/sec Train-Accuracy=0.278571
2016-09-22 22:02:28,807 Epoch[0] Batch [20250] Speed: 11.03 samples/sec Train-Accuracy=0.295714
2016-09-22 22:03:04,991 Epoch[0] Batch [20300] Speed: 11.05 samples/sec Train-Accuracy=0.322857
2016-09-22 22:03:41,177 Epoch[0] Batch [20350] Speed: 11.05 samples/sec Train-Accuracy=0.298571
2016-09-22 22:04:17,706 Epoch[0] Batch [20400] Speed: 10.95 samples/sec Train-Accuracy=0.278571
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2016-09-22 22:05:33,280 Epoch[0] Batch [20500] Speed: 10.17 samples/sec Train-Accuracy=0.304286
2016-09-22 22:06:12,922 Epoch[0] Batch [20550] Speed: 10.09 samples/sec Train-Accuracy=0.300000
2016-09-22 22:06:51,313 Epoch[0] Batch [20600] Speed: 10.42 samples/sec Train-Accuracy=0.311429
2016-09-22 22:07:31,499 Epoch[0] Batch [20650] Speed: 9.95 samples/sec Train-Accuracy=0.292857
2016-09-22 22:08:09,395 Epoch[0] Batch [20700] Speed: 10.56 samples/sec Train-Accuracy=0.297143
2016-09-22 22:08:46,034 Epoch[0] Batch [20750] Speed: 10.92 samples/sec Train-Accuracy=0.301429
2016-09-22 22:09:27,519 Epoch[0] Batch [20800] Speed: 9.64 samples/sec Train-Accuracy=0.322857
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2016-09-22 22:10:47,295 Epoch[0] Batch [20900] Speed: 9.92 samples/sec Train-Accuracy=0.284286
2016-09-22 22:11:26,593 Epoch[0] Batch [20950] Speed: 10.18 samples/sec Train-Accuracy=0.330000
2016-09-22 22:12:03,813 Epoch[0] Batch [21000] Speed: 10.75 samples/sec Train-Accuracy=0.324286
2016-09-22 22:12:45,981 Epoch[0] Batch [21050] Speed: 9.49 samples/sec Train-Accuracy=0.300000
2016-09-22 22:13:27,714 Epoch[0] Batch [21100] Speed: 9.58 samples/sec Train-Accuracy=0.318571
2016-09-22 22:14:05,781 Epoch[0] Batch [21150] Speed: 10.51 samples/sec Train-Accuracy=0.328571
2016-09-22 22:14:44,091 Epoch[0] Batch [21200] Speed: 10.44 samples/sec Train-Accuracy=0.308571
2016-09-22 22:15:22,712 Epoch[0] Batch [21250] Speed: 10.36 samples/sec Train-Accuracy=0.302857
2016-09-22 22:16:00,753 Epoch[0] Batch [21300] Speed: 10.52 samples/sec Train-Accuracy=0.302857
2016-09-22 22:16:38,147 Epoch[0] Batch [21350] Speed: 10.70 samples/sec Train-Accuracy=0.274286
2016-09-22 22:17:15,385 Epoch[0] Batch [21400] Speed: 10.74 samples/sec Train-Accuracy=0.312857
2016-09-22 22:17:52,705 Epoch[0] Batch [21450] Speed: 10.72 samples/sec Train-Accuracy=0.328571
2016-09-22 22:18:30,106 Epoch[0] Batch [21500] Speed: 10.69 samples/sec Train-Accuracy=0.328571
2016-09-22 22:19:07,484 Epoch[0] Batch [21550] Speed: 10.70 samples/sec Train-Accuracy=0.327143
2016-09-22 22:19:44,766 Epoch[0] Batch [21600] Speed: 10.73 samples/sec Train-Accuracy=0.320000
2016-09-22 22:20:23,258 Epoch[0] Batch [21650] Speed: 10.39 samples/sec Train-Accuracy=0.317143
2016-09-22 22:21:00,916 Epoch[0] Batch [21700] Speed: 10.62 samples/sec Train-Accuracy=0.338571
2016-09-22 22:21:37,407 Epoch[0] Batch [21750] Speed: 10.96 samples/sec Train-Accuracy=0.295714
2016-09-22 22:22:13,747 Epoch[0] Batch [21800] Speed: 11.01 samples/sec Train-Accuracy=0.318571
2016-09-22 22:22:51,298 Epoch[0] Batch [21850] Speed: 10.65 samples/sec Train-Accuracy=0.312857
2016-09-22 22:23:27,509 Epoch[0] Batch [21900] Speed: 11.05 samples/sec Train-Accuracy=0.315714
2016-09-22 22:24:03,771 Epoch[0] Batch [21950] Speed: 11.03 samples/sec Train-Accuracy=0.301429
2016-09-22 22:24:40,045 Epoch[0] Batch [22000] Speed: 11.03 samples/sec Train-Accuracy=0.334286
2016-09-22 22:25:16,368 Epoch[0] Batch [22050] Speed: 11.01 samples/sec Train-Accuracy=0.318571
2016-09-22 22:25:52,763 Epoch[0] Batch [22100] Speed: 10.99 samples/sec Train-Accuracy=0.354286
2016-09-22 22:26:29,099 Epoch[0] Batch [22150] Speed: 11.01 samples/sec Train-Accuracy=0.352857
2016-09-22 22:27:05,386 Epoch[0] Batch [22200] Speed: 11.02 samples/sec Train-Accuracy=0.331429
2016-09-22 22:27:41,910 Epoch[0] Batch [22250] Speed: 10.95 samples/sec Train-Accuracy=0.330000
2016-09-22 22:28:18,149 Epoch[0] Batch [22300] Speed: 11.04 samples/sec Train-Accuracy=0.332857
2016-09-22 22:28:54,536 Epoch[0] Batch [22350] Speed: 10.99 samples/sec Train-Accuracy=0.334286
2016-09-22 22:29:30,870 Epoch[0] Batch [22400] Speed: 11.01 samples/sec Train-Accuracy=0.331429
2016-09-22 22:30:07,491 Epoch[0] Batch [22450] Speed: 10.92 samples/sec Train-Accuracy=0.341429
2016-09-22 22:30:45,009 Epoch[0] Batch [22500] Speed: 10.66 samples/sec Train-Accuracy=0.322857
2016-09-22 22:31:22,617 Epoch[0] Batch [22550] Speed: 10.64 samples/sec Train-Accuracy=0.327143
2016-09-22 22:31:58,905 Epoch[0] Batch [22600] Speed: 11.02 samples/sec Train-Accuracy=0.364286
2016-09-22 22:32:35,314 Epoch[0] Batch [22650] Speed: 10.99 samples/sec Train-Accuracy=0.327143
2016-09-22 22:33:11,602 Epoch[0] Batch [22700] Speed: 11.02 samples/sec Train-Accuracy=0.317143
2016-09-22 22:33:47,935 Epoch[0] Batch [22750] Speed: 11.01 samples/sec Train-Accuracy=0.348571
2016-09-22 22:34:24,247 Epoch[0] Batch [22800] Speed: 11.02 samples/sec Train-Accuracy=0.312857
2016-09-22 22:35:00,590 Epoch[0] Batch [22850] Speed: 11.01 samples/sec Train-Accuracy=0.348571
2016-09-22 22:35:37,036 Epoch[0] Batch [22900] Speed: 10.98 samples/sec Train-Accuracy=0.331429
2016-09-22 22:36:13,465 Epoch[0] Batch [22950] Speed: 10.98 samples/sec Train-Accuracy=0.331429
2016-09-22 22:36:49,883 Epoch[0] Batch [23000] Speed: 10.98 samples/sec Train-Accuracy=0.340000
2016-09-22 22:37:26,236 Epoch[0] Batch [23050] Speed: 11.00 samples/sec Train-Accuracy=0.342857
2016-09-22 22:38:02,710 Epoch[0] Batch [23100] Speed: 10.97 samples/sec Train-Accuracy=0.348571
2016-09-22 22:38:39,228 Epoch[0] Batch [23150] Speed: 10.95 samples/sec Train-Accuracy=0.342857
2016-09-22 22:39:15,620 Epoch[0] Batch [23200] Speed: 10.99 samples/sec Train-Accuracy=0.342857
2016-09-22 22:39:51,978 Epoch[0] Batch [23250] Speed: 11.00 samples/sec Train-Accuracy=0.357143
2016-09-22 22:40:28,187 Epoch[0] Batch [23300] Speed: 11.05 samples/sec Train-Accuracy=0.335714
2016-09-22 22:41:04,668 Epoch[0] Batch [23350] Speed: 10.96 samples/sec Train-Accuracy=0.328571
2016-09-22 22:41:41,199 Epoch[0] Batch [23400] Speed: 10.95 samples/sec Train-Accuracy=0.325714
2016-09-22 22:42:17,978 Epoch[0] Batch [23450] Speed: 10.88 samples/sec Train-Accuracy=0.347143
2016-09-22 22:42:58,758 Epoch[0] Batch [23500] Speed: 9.81 samples/sec Train-Accuracy=0.315714
2016-09-22 22:43:36,252 Epoch[0] Batch [23550] Speed: 10.67 samples/sec Train-Accuracy=0.325714
2016-09-22 22:44:12,628 Epoch[0] Batch [23600] Speed: 11.00 samples/sec Train-Accuracy=0.320000
2016-09-22 22:44:48,950 Epoch[0] Batch [23650] Speed: 11.01 samples/sec Train-Accuracy=0.332857
2016-09-22 22:45:25,255 Epoch[0] Batch [23700] Speed: 11.02 samples/sec Train-Accuracy=0.335714
2016-09-22 22:46:01,561 Epoch[0] Batch [23750] Speed: 11.02 samples/sec Train-Accuracy=0.322857
2016-09-22 22:46:37,862 Epoch[0] Batch [23800] Speed: 11.02 samples/sec Train-Accuracy=0.340000
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2016-09-22 22:47:51,997 Epoch[0] Batch [23900] Speed: 11.02 samples/sec Train-Accuracy=0.341429
2016-09-22 22:48:28,318 Epoch[0] Batch [23950] Speed: 11.01 samples/sec Train-Accuracy=0.368571
2016-09-22 22:49:04,683 Epoch[0] Batch [24000] Speed: 11.00 samples/sec Train-Accuracy=0.371429
2016-09-22 22:49:41,024 Epoch[0] Batch [24050] Speed: 11.01 samples/sec Train-Accuracy=0.342857
2016-09-22 22:50:17,337 Epoch[0] Batch [24100] Speed: 11.02 samples/sec Train-Accuracy=0.378571
2016-09-22 22:50:53,701 Epoch[0] Batch [24150] Speed: 11.00 samples/sec Train-Accuracy=0.357143
2016-09-22 22:51:30,139 Epoch[0] Batch [24200] Speed: 10.98 samples/sec Train-Accuracy=0.368571
2016-09-22 22:52:06,506 Epoch[0] Batch [24250] Speed: 11.00 samples/sec Train-Accuracy=0.362857
2016-09-22 22:52:42,850 Epoch[0] Batch [24300] Speed: 11.01 samples/sec Train-Accuracy=0.337143
2016-09-22 22:53:19,153 Epoch[0] Batch [24350] Speed: 11.02 samples/sec Train-Accuracy=0.385714
2016-09-22 22:53:57,588 Epoch[0] Batch [24400] Speed: 10.41 samples/sec Train-Accuracy=0.332857
2016-09-22 22:54:36,798 Epoch[0] Batch [24450] Speed: 10.20 samples/sec Train-Accuracy=0.362857
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2016-09-22 22:58:23,625 Epoch[0] Batch [24750] Speed: 10.73 samples/sec Train-Accuracy=0.354286
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2016-09-22 23:14:13,805 Epoch[0] Batch [26000] Speed: 9.81 samples/sec Train-Accuracy=0.367143
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2016-09-22 23:44:32,989 Epoch[0] Batch [28400] Speed: 10.93 samples/sec Train-Accuracy=0.417143
2016-09-22 23:45:09,655 Epoch[0] Batch [28450] Speed: 10.91 samples/sec Train-Accuracy=0.401429
2016-09-22 23:45:46,209 Epoch[0] Batch [28500] Speed: 10.94 samples/sec Train-Accuracy=0.401429
2016-09-22 23:46:22,777 Epoch[0] Batch [28550] Speed: 10.94 samples/sec Train-Accuracy=0.408571
2016-09-22 23:46:59,210 Epoch[0] Batch [28600] Speed: 10.98 samples/sec Train-Accuracy=0.358571
2016-09-22 23:47:35,736 Epoch[0] Batch [28650] Speed: 10.95 samples/sec Train-Accuracy=0.387143
2016-09-22 23:48:12,931 Epoch[0] Batch [28700] Speed: 10.75 samples/sec Train-Accuracy=0.390000
2016-09-22 23:48:49,979 Epoch[0] Batch [28750] Speed: 10.80 samples/sec Train-Accuracy=0.387143
2016-09-22 23:49:27,676 Epoch[0] Batch [28800] Speed: 10.61 samples/sec Train-Accuracy=0.407143
2016-09-22 23:50:04,685 Epoch[0] Batch [28850] Speed: 10.81 samples/sec Train-Accuracy=0.412857
2016-09-22 23:50:41,175 Epoch[0] Batch [28900] Speed: 10.96 samples/sec Train-Accuracy=0.418571
2016-09-22 23:51:20,933 Epoch[0] Batch [28950] Speed: 10.06 samples/sec Train-Accuracy=0.390000
2016-09-22 23:51:58,233 Epoch[0] Batch [29000] Speed: 10.72 samples/sec Train-Accuracy=0.414286
2016-09-22 23:52:36,447 Epoch[0] Batch [29050] Speed: 10.47 samples/sec Train-Accuracy=0.412857
2016-09-22 23:53:15,408 Epoch[0] Batch [29100] Speed: 10.27 samples/sec Train-Accuracy=0.412857
2016-09-22 23:53:53,344 Epoch[0] Batch [29150] Speed: 10.54 samples/sec Train-Accuracy=0.382857
2016-09-22 23:54:34,639 Epoch[0] Batch [29200] Speed: 9.69 samples/sec Train-Accuracy=0.392857
2016-09-22 23:55:12,521 Epoch[0] Batch [29250] Speed: 10.56 samples/sec Train-Accuracy=0.412857
2016-09-22 23:55:49,043 Epoch[0] Batch [29300] Speed: 10.95 samples/sec Train-Accuracy=0.412857
2016-09-22 23:56:25,591 Epoch[0] Batch [29350] Speed: 10.94 samples/sec Train-Accuracy=0.394286
2016-09-22 23:57:02,033 Epoch[0] Batch [29400] Speed: 10.98 samples/sec Train-Accuracy=0.414286
2016-09-22 23:57:38,477 Epoch[0] Batch [29450] Speed: 10.98 samples/sec Train-Accuracy=0.435714
2016-09-22 23:58:14,939 Epoch[0] Batch [29500] Speed: 10.97 samples/sec Train-Accuracy=0.404286
2016-09-22 23:58:51,423 Epoch[0] Batch [29550] Speed: 10.96 samples/sec Train-Accuracy=0.387143
2016-09-22 23:59:27,752 Epoch[0] Batch [29600] Speed: 11.01 samples/sec Train-Accuracy=0.404286
2016-09-23 00:00:08,357 Epoch[0] Batch [29650] Speed: 9.85 samples/sec Train-Accuracy=0.370000
2016-09-23 00:00:46,744 Epoch[0] Batch [29700] Speed: 10.42 samples/sec Train-Accuracy=0.380000
2016-09-23 00:01:24,680 Epoch[0] Batch [29750] Speed: 10.54 samples/sec Train-Accuracy=0.414286
2016-09-23 00:02:05,661 Epoch[0] Batch [29800] Speed: 9.76 samples/sec Train-Accuracy=0.397143
2016-09-23 00:02:42,272 Epoch[0] Batch [29850] Speed: 10.93 samples/sec Train-Accuracy=0.408571
2016-09-23 00:03:19,161 Epoch[0] Batch [29900] Speed: 10.84 samples/sec Train-Accuracy=0.385714
2016-09-23 00:03:55,426 Epoch[0] Batch [29950] Speed: 11.03 samples/sec Train-Accuracy=0.390000
2016-09-23 00:04:31,976 Epoch[0] Batch [30000] Speed: 10.94 samples/sec Train-Accuracy=0.421429
2016-09-23 00:05:08,887 Epoch[0] Batch [30050] Speed: 10.84 samples/sec Train-Accuracy=0.430000
2016-09-23 00:05:48,151 Epoch[0] Batch [30100] Speed: 10.19 samples/sec Train-Accuracy=0.420000
2016-09-23 00:06:28,034 Epoch[0] Batch [30150] Speed: 10.03 samples/sec Train-Accuracy=0.415714
2016-09-23 00:07:05,255 Epoch[0] Batch [30200] Speed: 10.75 samples/sec Train-Accuracy=0.434286
2016-09-23 00:07:42,458 Epoch[0] Batch [30250] Speed: 10.75 samples/sec Train-Accuracy=0.430000
2016-09-23 00:08:19,816 Epoch[0] Batch [30300] Speed: 10.71 samples/sec Train-Accuracy=0.391429
2016-09-23 00:09:00,564 Epoch[0] Batch [30350] Speed: 9.82 samples/sec Train-Accuracy=0.385714
2016-09-23 00:09:38,786 Epoch[0] Batch [30400] Speed: 10.47 samples/sec Train-Accuracy=0.434286
2016-09-23 00:10:19,532 Epoch[0] Batch [30450] Speed: 9.82 samples/sec Train-Accuracy=0.400000
2016-09-23 00:11:00,125 Epoch[0] Batch [30500] Speed: 9.85 samples/sec Train-Accuracy=0.404286
2016-09-23 00:11:40,871 Epoch[0] Batch [30550] Speed: 9.82 samples/sec Train-Accuracy=0.391429
2016-09-23 00:12:20,019 Epoch[0] Batch [30600] Speed: 10.22 samples/sec Train-Accuracy=0.408571
2016-09-23 00:12:57,211 Epoch[0] Batch [30650] Speed: 10.76 samples/sec Train-Accuracy=0.414286
2016-09-23 00:13:37,379 Epoch[0] Batch [30700] Speed: 9.96 samples/sec Train-Accuracy=0.431429
2016-09-23 00:14:14,561 Epoch[0] Batch [30750] Speed: 10.76 samples/sec Train-Accuracy=0.418571
2016-09-23 00:14:50,997 Epoch[0] Batch [30800] Speed: 10.98 samples/sec Train-Accuracy=0.424286
2016-09-23 00:15:27,262 Epoch[0] Batch [30850] Speed: 11.03 samples/sec Train-Accuracy=0.402857
2016-09-23 00:16:07,041 Epoch[0] Batch [30900] Speed: 10.06 samples/sec Train-Accuracy=0.424286
2016-09-23 00:16:43,738 Epoch[0] Batch [30950] Speed: 10.90 samples/sec Train-Accuracy=0.404286
2016-09-23 00:17:20,317 Epoch[0] Batch [31000] Speed: 10.94 samples/sec Train-Accuracy=0.408571
2016-09-23 00:17:56,492 Epoch[0] Batch [31050] Speed: 11.06 samples/sec Train-Accuracy=0.444286
2016-09-23 00:18:32,646 Epoch[0] Batch [31100] Speed: 11.06 samples/sec Train-Accuracy=0.407143
2016-09-23 00:19:09,278 Epoch[0] Batch [31150] Speed: 10.92 samples/sec Train-Accuracy=0.422857
2016-09-23 00:19:45,646 Epoch[0] Batch [31200] Speed: 11.00 samples/sec Train-Accuracy=0.435714
2016-09-23 00:20:22,053 Epoch[0] Batch [31250] Speed: 10.99 samples/sec Train-Accuracy=0.428571
2016-09-23 00:20:58,744 Epoch[0] Batch [31300] Speed: 10.90 samples/sec Train-Accuracy=0.437143
2016-09-23 00:21:35,188 Epoch[0] Batch [31350] Speed: 10.98 samples/sec Train-Accuracy=0.401429
2016-09-23 00:22:11,797 Epoch[0] Batch [31400] Speed: 10.93 samples/sec Train-Accuracy=0.405714
2016-09-23 00:22:51,586 Epoch[0] Batch [31450] Speed: 10.05 samples/sec Train-Accuracy=0.432857
2016-09-23 00:23:28,343 Epoch[0] Batch [31500] Speed: 10.88 samples/sec Train-Accuracy=0.430000
2016-09-23 00:24:04,886 Epoch[0] Batch [31550] Speed: 10.95 samples/sec Train-Accuracy=0.401429
2016-09-23 00:24:41,174 Epoch[0] Batch [31600] Speed: 11.02 samples/sec Train-Accuracy=0.395714
2016-09-23 00:25:17,569 Epoch[0] Batch [31650] Speed: 10.99 samples/sec Train-Accuracy=0.401429
2016-09-23 00:25:54,231 Epoch[0] Batch [31700] Speed: 10.91 samples/sec Train-Accuracy=0.404286
2016-09-23 00:26:31,429 Epoch[0] Batch [31750] Speed: 10.75 samples/sec Train-Accuracy=0.412857
2016-09-23 00:27:10,695 Epoch[0] Batch [31800] Speed: 10.19 samples/sec Train-Accuracy=0.382857
2016-09-23 00:27:49,975 Epoch[0] Batch [31850] Speed: 10.18 samples/sec Train-Accuracy=0.400000
2016-09-23 00:28:27,218 Epoch[0] Batch [31900] Speed: 10.74 samples/sec Train-Accuracy=0.390000
2016-09-23 00:29:04,622 Epoch[0] Batch [31950] Speed: 10.69 samples/sec Train-Accuracy=0.408571
2016-09-23 00:29:43,614 Epoch[0] Batch [32000] Speed: 10.26 samples/sec Train-Accuracy=0.421429
2016-09-23 00:30:23,087 Epoch[0] Batch [32050] Speed: 10.13 samples/sec Train-Accuracy=0.450000
2016-09-23 00:31:00,176 Epoch[0] Batch [32100] Speed: 10.78 samples/sec Train-Accuracy=0.397143
2016-09-23 00:31:38,469 Epoch[0] Batch [32150] Speed: 10.45 samples/sec Train-Accuracy=0.414286
2016-09-23 00:32:16,966 Epoch[0] Batch [32200] Speed: 10.39 samples/sec Train-Accuracy=0.417143
2016-09-23 00:32:55,741 Epoch[0] Batch [32250] Speed: 10.32 samples/sec Train-Accuracy=0.431429
2016-09-23 00:33:34,550 Epoch[0] Batch [32300] Speed: 10.31 samples/sec Train-Accuracy=0.435714
2016-09-23 00:34:10,928 Epoch[0] Batch [32350] Speed: 11.00 samples/sec Train-Accuracy=0.447143
2016-09-23 00:34:47,294 Epoch[0] Batch [32400] Speed: 11.00 samples/sec Train-Accuracy=0.448571
2016-09-23 00:35:23,589 Epoch[0] Batch [32450] Speed: 11.02 samples/sec Train-Accuracy=0.425714
2016-09-23 00:35:59,870 Epoch[0] Batch [32500] Speed: 11.03 samples/sec Train-Accuracy=0.441429
2016-09-23 00:36:36,318 Epoch[0] Batch [32550] Speed: 10.97 samples/sec Train-Accuracy=0.427143
2016-09-23 00:37:12,661 Epoch[0] Batch [32600] Speed: 11.01 samples/sec Train-Accuracy=0.441429
2016-09-23 00:37:49,004 Epoch[0] Batch [32650] Speed: 11.01 samples/sec Train-Accuracy=0.430000
2016-09-23 00:38:25,511 Epoch[0] Batch [32700] Speed: 10.96 samples/sec Train-Accuracy=0.431429
2016-09-23 00:39:04,154 Epoch[0] Batch [32750] Speed: 10.35 samples/sec Train-Accuracy=0.424286
2016-09-23 00:39:42,325 Epoch[0] Batch [32800] Speed: 10.48 samples/sec Train-Accuracy=0.428571
2016-09-23 00:40:21,711 Epoch[0] Batch [32850] Speed: 10.16 samples/sec Train-Accuracy=0.438571
2016-09-23 00:41:00,343 Epoch[0] Batch [32900] Speed: 10.35 samples/sec Train-Accuracy=0.405714
2016-09-23 00:41:37,874 Epoch[0] Batch [32950] Speed: 10.66 samples/sec Train-Accuracy=0.451429
2016-09-23 00:42:15,153 Epoch[0] Batch [33000] Speed: 10.73 samples/sec Train-Accuracy=0.440000
2016-09-23 00:42:52,422 Epoch[0] Batch [33050] Speed: 10.73 samples/sec Train-Accuracy=0.431429
2016-09-23 00:43:29,845 Epoch[0] Batch [33100] Speed: 10.69 samples/sec Train-Accuracy=0.418571
2016-09-23 00:44:07,128 Epoch[0] Batch [33150] Speed: 10.73 samples/sec Train-Accuracy=0.434286
2016-09-23 00:44:44,463 Epoch[0] Batch [33200] Speed: 10.71 samples/sec Train-Accuracy=0.435714
2016-09-23 00:45:21,735 Epoch[0] Batch [33250] Speed: 10.73 samples/sec Train-Accuracy=0.455714
2016-09-23 00:45:59,152 Epoch[0] Batch [33300] Speed: 10.69 samples/sec Train-Accuracy=0.447143
2016-09-23 00:46:36,489 Epoch[0] Batch [33350] Speed: 10.71 samples/sec Train-Accuracy=0.412857
2016-09-23 00:47:13,812 Epoch[0] Batch [33400] Speed: 10.72 samples/sec Train-Accuracy=0.422857
2016-09-23 00:47:51,208 Epoch[0] Batch [33450] Speed: 10.70 samples/sec Train-Accuracy=0.422857
2016-09-23 00:48:28,434 Epoch[0] Batch [33500] Speed: 10.75 samples/sec Train-Accuracy=0.428571
2016-09-23 00:49:05,731 Epoch[0] Batch [33550] Speed: 10.72 samples/sec Train-Accuracy=0.432857
2016-09-23 00:49:43,027 Epoch[0] Batch [33600] Speed: 10.72 samples/sec Train-Accuracy=0.452857
2016-09-23 00:50:20,245 Epoch[0] Batch [33650] Speed: 10.75 samples/sec Train-Accuracy=0.422857
2016-09-23 00:50:58,829 Epoch[0] Batch [33700] Speed: 10.37 samples/sec Train-Accuracy=0.420000
2016-09-23 00:51:37,462 Epoch[0] Batch [33750] Speed: 10.35 samples/sec Train-Accuracy=0.457143
2016-09-23 00:52:16,588 Epoch[0] Batch [33800] Speed: 10.22 samples/sec Train-Accuracy=0.412857
2016-09-23 00:52:53,373 Epoch[0] Batch [33850] Speed: 10.87 samples/sec Train-Accuracy=0.394286
2016-09-23 00:53:29,912 Epoch[0] Batch [33900] Speed: 10.95 samples/sec Train-Accuracy=0.447143
2016-09-23 00:54:06,242 Epoch[0] Batch [33950] Speed: 11.01 samples/sec Train-Accuracy=0.415714
2016-09-23 00:54:42,698 Epoch[0] Batch [34000] Speed: 10.97 samples/sec Train-Accuracy=0.410000
2016-09-23 00:55:20,664 Epoch[0] Batch [34050] Speed: 10.54 samples/sec Train-Accuracy=0.462857
2016-09-23 00:56:01,158 Epoch[0] Batch [34100] Speed: 9.88 samples/sec Train-Accuracy=0.447143
2016-09-23 00:56:39,809 Epoch[0] Batch [34150] Speed: 10.35 samples/sec Train-Accuracy=0.442857
2016-09-23 00:57:21,809 Epoch[0] Batch [34200] Speed: 9.52 samples/sec Train-Accuracy=0.451429
2016-09-23 00:58:03,910 Epoch[0] Batch [34250] Speed: 9.50 samples/sec Train-Accuracy=0.415714
2016-09-23 00:58:42,855 Epoch[0] Batch [34300] Speed: 10.27 samples/sec Train-Accuracy=0.421429
2016-09-23 00:59:20,713 Epoch[0] Batch [34350] Speed: 10.57 samples/sec Train-Accuracy=0.442857
2016-09-23 00:59:58,011 Epoch[0] Batch [34400] Speed: 10.72 samples/sec Train-Accuracy=0.422857
2016-09-23 01:00:35,368 Epoch[0] Batch [34450] Speed: 10.71 samples/sec Train-Accuracy=0.420000
2016-09-23 01:01:12,807 Epoch[0] Batch [34500] Speed: 10.68 samples/sec Train-Accuracy=0.402857
2016-09-23 01:01:50,157 Epoch[0] Batch [34550] Speed: 10.71 samples/sec Train-Accuracy=0.435714
2016-09-23 01:02:27,525 Epoch[0] Batch [34600] Speed: 10.70 samples/sec Train-Accuracy=0.430000
2016-09-23 01:03:05,771 Epoch[0] Batch [34650] Speed: 10.46 samples/sec Train-Accuracy=0.458571
2016-09-23 01:03:43,261 Epoch[0] Batch [34700] Speed: 10.67 samples/sec Train-Accuracy=0.445714
2016-09-23 01:04:19,683 Epoch[0] Batch [34750] Speed: 10.98 samples/sec Train-Accuracy=0.424286
2016-09-23 01:04:56,068 Epoch[0] Batch [34800] Speed: 10.99 samples/sec Train-Accuracy=0.442857
2016-09-23 01:05:34,504 Epoch[0] Batch [34850] Speed: 10.41 samples/sec Train-Accuracy=0.444286
2016-09-23 01:06:17,640 Epoch[0] Batch [34900] Speed: 9.27 samples/sec Train-Accuracy=0.440000
2016-09-23 01:06:56,188 Epoch[0] Batch [34950] Speed: 10.38 samples/sec Train-Accuracy=0.422857
2016-09-23 01:07:34,388 Epoch[0] Batch [35000] Speed: 10.47 samples/sec Train-Accuracy=0.441429
2016-09-23 01:08:12,004 Epoch[0] Batch [35050] Speed: 10.63 samples/sec Train-Accuracy=0.430000
2016-09-23 01:08:49,351 Epoch[0] Batch [35100] Speed: 10.71 samples/sec Train-Accuracy=0.431429
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2016-09-23 01:10:41,709 Epoch[0] Batch [35250] Speed: 10.72 samples/sec Train-Accuracy=0.444286
2016-09-23 01:11:19,529 Epoch[0] Batch [35300] Speed: 10.58 samples/sec Train-Accuracy=0.430000
2016-09-23 01:11:56,803 Epoch[0] Batch [35350] Speed: 10.73 samples/sec Train-Accuracy=0.415714
2016-09-23 01:12:34,045 Epoch[0] Batch [35400] Speed: 10.74 samples/sec Train-Accuracy=0.441429
2016-09-23 01:13:11,185 Epoch[0] Batch [35450] Speed: 10.77 samples/sec Train-Accuracy=0.458571
2016-09-23 01:13:48,369 Epoch[0] Batch [35500] Speed: 10.76 samples/sec Train-Accuracy=0.437143
2016-09-23 01:14:25,589 Epoch[0] Batch [35550] Speed: 10.75 samples/sec Train-Accuracy=0.441429
2016-09-23 01:15:02,760 Epoch[0] Batch [35600] Speed: 10.76 samples/sec Train-Accuracy=0.440000
2016-09-23 01:15:40,041 Epoch[0] Batch [35650] Speed: 10.73 samples/sec Train-Accuracy=0.440000
2016-09-23 01:16:17,306 Epoch[0] Batch [35700] Speed: 10.73 samples/sec Train-Accuracy=0.435714
2016-09-23 01:16:54,866 Epoch[0] Batch [35750] Speed: 10.65 samples/sec Train-Accuracy=0.435714
2016-09-23 01:17:31,137 Epoch[0] Batch [35800] Speed: 11.03 samples/sec Train-Accuracy=0.428571
2016-09-23 01:18:07,354 Epoch[0] Batch [35850] Speed: 11.04 samples/sec Train-Accuracy=0.448571
2016-09-23 01:18:43,564 Epoch[0] Batch [35900] Speed: 11.05 samples/sec Train-Accuracy=0.435714
2016-09-23 01:19:19,875 Epoch[0] Batch [35950] Speed: 11.02 samples/sec Train-Accuracy=0.434286
2016-09-23 01:19:56,108 Epoch[0] Batch [36000] Speed: 11.04 samples/sec Train-Accuracy=0.461429
2016-09-23 01:20:32,421 Epoch[0] Batch [36050] Speed: 11.02 samples/sec Train-Accuracy=0.452857
2016-09-23 01:21:08,787 Epoch[0] Batch [36100] Speed: 11.00 samples/sec Train-Accuracy=0.482857
2016-09-23 01:21:45,292 Epoch[0] Batch [36150] Speed: 10.96 samples/sec Train-Accuracy=0.472857
2016-09-23 01:22:21,652 Epoch[0] Batch [36200] Speed: 11.00 samples/sec Train-Accuracy=0.450000
2016-09-23 01:23:00,778 Epoch[0] Batch [36250] Speed: 10.22 samples/sec Train-Accuracy=0.467143
2016-09-23 01:23:42,549 Epoch[0] Batch [36300] Speed: 9.58 samples/sec Train-Accuracy=0.490000
2016-09-23 01:24:21,826 Epoch[0] Batch [36350] Speed: 10.18 samples/sec Train-Accuracy=0.444286
2016-09-23 01:25:00,858 Epoch[0] Batch [36400] Speed: 10.25 samples/sec Train-Accuracy=0.465714
2016-09-23 01:25:38,103 Epoch[0] Batch [36450] Speed: 10.74 samples/sec Train-Accuracy=0.452857
2016-09-23 01:26:17,569 Epoch[0] Batch [36500] Speed: 10.14 samples/sec Train-Accuracy=0.454286
2016-09-23 01:26:56,809 Epoch[0] Batch [36550] Speed: 10.19 samples/sec Train-Accuracy=0.450000
2016-09-23 01:27:35,427 Epoch[0] Batch [36600] Speed: 10.36 samples/sec Train-Accuracy=0.468571
2016-09-23 01:28:13,000 Epoch[0] Batch [36650] Speed: 10.65 samples/sec Train-Accuracy=0.441429
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2016-09-23 01:29:28,470 Epoch[0] Batch [36750] Speed: 10.64 samples/sec Train-Accuracy=0.438571
2016-09-23 01:30:06,494 Epoch[0] Batch [36800] Speed: 10.52 samples/sec Train-Accuracy=0.482857
2016-09-23 01:30:44,718 Epoch[0] Batch [36850] Speed: 10.46 samples/sec Train-Accuracy=0.451429
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2016-09-23 01:32:00,514 Epoch[0] Batch [36950] Speed: 10.61 samples/sec Train-Accuracy=0.461429
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2016-09-23 01:34:32,601 Epoch[0] Batch [37150] Speed: 10.71 samples/sec Train-Accuracy=0.447143
2016-09-23 01:35:13,299 Epoch[0] Batch [37200] Speed: 9.83 samples/sec Train-Accuracy=0.475714
2016-09-23 01:35:53,182 Epoch[0] Batch [37250] Speed: 10.03 samples/sec Train-Accuracy=0.482857
2016-09-23 01:36:32,013 Epoch[0] Batch [37300] Speed: 10.30 samples/sec Train-Accuracy=0.437143
2016-09-23 01:37:12,527 Epoch[0] Batch [37350] Speed: 9.87 samples/sec Train-Accuracy=0.468571
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2016-09-23 01:38:35,561 Epoch[0] Batch [37450] Speed: 9.64 samples/sec Train-Accuracy=0.447143
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2016-09-23 01:39:51,609 Epoch[0] Batch [37550] Speed: 10.64 samples/sec Train-Accuracy=0.445714
2016-09-23 01:40:28,894 Epoch[0] Batch [37600] Speed: 10.73 samples/sec Train-Accuracy=0.434286
2016-09-23 01:41:06,441 Epoch[0] Batch [37650] Speed: 10.65 samples/sec Train-Accuracy=0.451429
2016-09-23 01:41:44,467 Epoch[0] Batch [37700] Speed: 10.52 samples/sec Train-Accuracy=0.468571
2016-09-23 01:42:21,905 Epoch[0] Batch [37750] Speed: 10.68 samples/sec Train-Accuracy=0.428571
2016-09-23 01:42:59,067 Epoch[0] Batch [37800] Speed: 10.76 samples/sec Train-Accuracy=0.441429
2016-09-23 01:43:36,676 Epoch[0] Batch [37850] Speed: 10.64 samples/sec Train-Accuracy=0.490000
2016-09-23 01:44:14,007 Epoch[0] Batch [37900] Speed: 10.72 samples/sec Train-Accuracy=0.458571
2016-09-23 01:44:51,337 Epoch[0] Batch [37950] Speed: 10.72 samples/sec Train-Accuracy=0.448571
2016-09-23 01:45:28,694 Epoch[0] Batch [38000] Speed: 10.71 samples/sec Train-Accuracy=0.460000
2016-09-23 01:46:05,957 Epoch[0] Batch [38050] Speed: 10.73 samples/sec Train-Accuracy=0.450000
2016-09-23 01:46:43,206 Epoch[0] Batch [38100] Speed: 10.74 samples/sec Train-Accuracy=0.455714
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2016-09-23 01:51:45,913 Epoch[0] Batch [38500] Speed: 10.62 samples/sec Train-Accuracy=0.437143
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2016-09-23 01:53:38,854 Epoch[0] Batch [38650] Speed: 10.61 samples/sec Train-Accuracy=0.445714
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2016-09-23 01:57:26,563 Epoch[0] Batch [38950] Speed: 10.59 samples/sec Train-Accuracy=0.455714
2016-09-23 01:58:04,189 Epoch[0] Batch [39000] Speed: 10.63 samples/sec Train-Accuracy=0.452857
2016-09-23 01:58:42,172 Epoch[0] Batch [39050] Speed: 10.53 samples/sec Train-Accuracy=0.468571
2016-09-23 01:59:20,514 Epoch[0] Batch [39100] Speed: 10.43 samples/sec Train-Accuracy=0.438571
2016-09-23 01:59:58,591 Epoch[0] Batch [39150] Speed: 10.51 samples/sec Train-Accuracy=0.448571
2016-09-23 02:00:36,305 Epoch[0] Batch [39200] Speed: 10.61 samples/sec Train-Accuracy=0.467143
2016-09-23 02:01:13,765 Epoch[0] Batch [39250] Speed: 10.68 samples/sec Train-Accuracy=0.481429
2016-09-23 02:01:51,089 Epoch[0] Batch [39300] Speed: 10.72 samples/sec Train-Accuracy=0.495714
2016-09-23 02:02:28,468 Epoch[0] Batch [39350] Speed: 10.70 samples/sec Train-Accuracy=0.481429
2016-09-23 02:03:06,064 Epoch[0] Batch [39400] Speed: 10.64 samples/sec Train-Accuracy=0.448571
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2016-09-23 02:04:26,709 Epoch[0] Batch [39500] Speed: 9.55 samples/sec Train-Accuracy=0.475714
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2016-09-23 02:05:45,839 Epoch[0] Batch [39600] Speed: 9.56 samples/sec Train-Accuracy=0.458571
2016-09-23 02:06:29,003 Epoch[0] Batch [39650] Speed: 9.27 samples/sec Train-Accuracy=0.472857
2016-09-23 02:07:06,954 Epoch[0] Batch [39700] Speed: 10.54 samples/sec Train-Accuracy=0.458571
2016-09-23 02:07:44,092 Epoch[0] Batch [39750] Speed: 10.77 samples/sec Train-Accuracy=0.494286
2016-09-23 02:08:20,740 Epoch[0] Batch [39800] Speed: 10.91 samples/sec Train-Accuracy=0.441429
2016-09-23 02:08:58,214 Epoch[0] Batch [39850] Speed: 10.67 samples/sec Train-Accuracy=0.442857
2016-09-23 02:09:36,454 Epoch[0] Batch [39900] Speed: 10.46 samples/sec Train-Accuracy=0.458571
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2016-09-23 02:10:50,911 Epoch[0] Batch [40000] Speed: 10.81 samples/sec Train-Accuracy=0.470000
2016-09-23 02:11:27,469 Epoch[0] Batch [40050] Speed: 10.94 samples/sec Train-Accuracy=0.475714
2016-09-23 02:12:04,115 Epoch[0] Batch [40100] Speed: 10.92 samples/sec Train-Accuracy=0.475714
2016-09-23 02:12:41,395 Epoch[0] Batch [40150] Speed: 10.73 samples/sec Train-Accuracy=0.460000
2016-09-23 02:13:18,194 Epoch[0] Batch [40200] Speed: 10.87 samples/sec Train-Accuracy=0.467143
2016-09-23 02:13:54,759 Epoch[0] Batch [40250] Speed: 10.94 samples/sec Train-Accuracy=0.451429
2016-09-23 02:14:32,410 Epoch[0] Batch [40300] Speed: 10.62 samples/sec Train-Accuracy=0.458571
2016-09-23 02:15:11,082 Epoch[0] Batch [40350] Speed: 10.34 samples/sec Train-Accuracy=0.468571
2016-09-23 02:15:47,882 Epoch[0] Batch [40400] Speed: 10.87 samples/sec Train-Accuracy=0.485714
2016-09-23 02:16:25,134 Epoch[0] Batch [40450] Speed: 10.74 samples/sec Train-Accuracy=0.461429
2016-09-23 02:17:02,730 Epoch[0] Batch [40500] Speed: 10.64 samples/sec Train-Accuracy=0.484286
2016-09-23 02:17:39,441 Epoch[0] Batch [40550] Speed: 10.90 samples/sec Train-Accuracy=0.475714
2016-09-23 02:18:16,068 Epoch[0] Batch [40600] Speed: 10.92 samples/sec Train-Accuracy=0.468571
2016-09-23 02:18:52,502 Epoch[0] Batch [40650] Speed: 10.98 samples/sec Train-Accuracy=0.477143
2016-09-23 02:19:32,090 Epoch[0] Batch [40700] Speed: 10.10 samples/sec Train-Accuracy=0.491429
2016-09-23 02:20:08,636 Epoch[0] Batch [40750] Speed: 10.95 samples/sec Train-Accuracy=0.448571
2016-09-23 02:20:45,386 Epoch[0] Batch [40800] Speed: 10.88 samples/sec Train-Accuracy=0.461429
2016-09-23 02:21:22,128 Epoch[0] Batch [40850] Speed: 10.89 samples/sec Train-Accuracy=0.467143
2016-09-23 02:22:02,293 Epoch[0] Batch [40900] Speed: 9.96 samples/sec Train-Accuracy=0.492857
2016-09-23 02:22:40,868 Epoch[0] Batch [40950] Speed: 10.37 samples/sec Train-Accuracy=0.464286
2016-09-23 02:23:17,472 Epoch[0] Batch [41000] Speed: 10.93 samples/sec Train-Accuracy=0.470000
2016-09-23 02:23:54,013 Epoch[0] Batch [41050] Speed: 10.95 samples/sec Train-Accuracy=0.480000
2016-09-23 02:24:31,301 Epoch[0] Batch [41100] Speed: 10.73 samples/sec Train-Accuracy=0.465714
2016-09-23 02:25:08,044 Epoch[0] Batch [41150] Speed: 10.89 samples/sec Train-Accuracy=0.477143
2016-09-23 02:25:46,435 Epoch[0] Batch [41200] Speed: 10.42 samples/sec Train-Accuracy=0.458571
2016-09-23 02:26:27,843 Epoch[0] Batch [41250] Speed: 9.66 samples/sec Train-Accuracy=0.468571
2016-09-23 02:27:09,295 Epoch[0] Batch [41300] Speed: 9.65 samples/sec Train-Accuracy=0.490000
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2016-09-23 02:28:25,431 Epoch[0] Batch [41400] Speed: 10.62 samples/sec Train-Accuracy=0.495714
2016-09-23 02:29:02,851 Epoch[0] Batch [41450] Speed: 10.69 samples/sec Train-Accuracy=0.484286
2016-09-23 02:29:40,352 Epoch[0] Batch [41500] Speed: 10.67 samples/sec Train-Accuracy=0.444286
2016-09-23 02:30:17,866 Epoch[0] Batch [41550] Speed: 10.66 samples/sec Train-Accuracy=0.470000
2016-09-23 02:30:55,489 Epoch[0] Batch [41600] Speed: 10.63 samples/sec Train-Accuracy=0.494286
2016-09-23 02:31:33,180 Epoch[0] Batch [41650] Speed: 10.61 samples/sec Train-Accuracy=0.482857
2016-09-23 02:32:11,101 Epoch[0] Batch [41700] Speed: 10.55 samples/sec Train-Accuracy=0.464286
2016-09-23 02:32:48,788 Epoch[0] Batch [41750] Speed: 10.61 samples/sec Train-Accuracy=0.448571
2016-09-23 02:33:26,299 Epoch[0] Batch [41800] Speed: 10.66 samples/sec Train-Accuracy=0.455714
2016-09-23 02:34:03,798 Epoch[0] Batch [41850] Speed: 10.67 samples/sec Train-Accuracy=0.482857
2016-09-23 02:34:41,946 Epoch[0] Batch [41900] Speed: 10.49 samples/sec Train-Accuracy=0.481429
2016-09-23 02:35:20,448 Epoch[0] Batch [41950] Speed: 10.39 samples/sec Train-Accuracy=0.494286
2016-09-23 02:35:58,068 Epoch[0] Batch [42000] Speed: 10.63 samples/sec Train-Accuracy=0.491429
2016-09-23 02:36:37,055 Epoch[0] Batch [42050] Speed: 10.26 samples/sec Train-Accuracy=0.480000
2016-09-23 02:37:14,960 Epoch[0] Batch [42100] Speed: 10.55 samples/sec Train-Accuracy=0.464286
2016-09-23 02:37:52,458 Epoch[0] Batch [42150] Speed: 10.67 samples/sec Train-Accuracy=0.471429
2016-09-23 02:38:30,038 Epoch[0] Batch [42200] Speed: 10.64 samples/sec Train-Accuracy=0.494286
2016-09-23 02:39:08,536 Epoch[0] Batch [42250] Speed: 10.39 samples/sec Train-Accuracy=0.457143
2016-09-23 02:39:46,040 Epoch[0] Batch [42300] Speed: 10.67 samples/sec Train-Accuracy=0.480000
2016-09-23 02:40:23,501 Epoch[0] Batch [42350] Speed: 10.68 samples/sec Train-Accuracy=0.481429
2016-09-23 02:41:01,240 Epoch[0] Batch [42400] Speed: 10.60 samples/sec Train-Accuracy=0.480000
2016-09-23 02:41:39,018 Epoch[0] Batch [42450] Speed: 10.59 samples/sec Train-Accuracy=0.508571
2016-09-23 02:42:18,715 Epoch[0] Batch [42500] Speed: 10.08 samples/sec Train-Accuracy=0.457143
2016-09-23 02:42:58,349 Epoch[0] Batch [42550] Speed: 10.09 samples/sec Train-Accuracy=0.522857
2016-09-23 02:43:35,707 Epoch[0] Batch [42600] Speed: 10.71 samples/sec Train-Accuracy=0.450000
2016-09-23 02:44:13,109 Epoch[0] Batch [42650] Speed: 10.69 samples/sec Train-Accuracy=0.464286
2016-09-23 02:44:50,671 Epoch[0] Batch [42700] Speed: 10.65 samples/sec Train-Accuracy=0.475714
2016-09-23 02:45:28,422 Epoch[0] Batch [42750] Speed: 10.60 samples/sec Train-Accuracy=0.478571
2016-09-23 02:46:06,106 Epoch[0] Batch [42800] Speed: 10.61 samples/sec Train-Accuracy=0.470000
2016-09-23 02:46:43,716 Epoch[0] Batch [42850] Speed: 10.64 samples/sec Train-Accuracy=0.507143
2016-09-23 02:47:21,136 Epoch[0] Batch [42900] Speed: 10.69 samples/sec Train-Accuracy=0.505714
2016-09-23 02:47:58,845 Epoch[0] Batch [42950] Speed: 10.61 samples/sec Train-Accuracy=0.484286
2016-09-23 02:48:36,157 Epoch[0] Batch [43000] Speed: 10.72 samples/sec Train-Accuracy=0.472857
2016-09-23 02:49:13,866 Epoch[0] Batch [43050] Speed: 10.61 samples/sec Train-Accuracy=0.497143
2016-09-23 02:49:53,161 Epoch[0] Batch [43100] Speed: 10.18 samples/sec Train-Accuracy=0.514286
2016-09-23 02:50:30,639 Epoch[0] Batch [43150] Speed: 10.67 samples/sec Train-Accuracy=0.491429
2016-09-23 02:51:08,101 Epoch[0] Batch [43200] Speed: 10.68 samples/sec Train-Accuracy=0.495714
2016-09-23 02:51:47,570 Epoch[0] Batch [43250] Speed: 10.13 samples/sec Train-Accuracy=0.475714
2016-09-23 02:52:26,800 Epoch[0] Batch [43300] Speed: 10.20 samples/sec Train-Accuracy=0.458571
2016-09-23 02:53:05,377 Epoch[0] Batch [43350] Speed: 10.37 samples/sec Train-Accuracy=0.478571
2016-09-23 02:53:42,730 Epoch[0] Batch [43400] Speed: 10.71 samples/sec Train-Accuracy=0.481429
2016-09-23 02:54:20,095 Epoch[0] Batch [43450] Speed: 10.71 samples/sec Train-Accuracy=0.504286
2016-09-23 02:54:57,584 Epoch[0] Batch [43500] Speed: 10.67 samples/sec Train-Accuracy=0.478571
2016-09-23 02:55:35,782 Epoch[0] Batch [43550] Speed: 10.47 samples/sec Train-Accuracy=0.471429
2016-09-23 02:56:13,656 Epoch[0] Batch [43600] Speed: 10.56 samples/sec Train-Accuracy=0.495714
2016-09-23 02:56:51,488 Epoch[0] Batch [43650] Speed: 10.57 samples/sec Train-Accuracy=0.444286
2016-09-23 02:57:29,302 Epoch[0] Batch [43700] Speed: 10.58 samples/sec Train-Accuracy=0.487143
2016-09-23 02:58:08,702 Epoch[0] Batch [43750] Speed: 10.15 samples/sec Train-Accuracy=0.447143
2016-09-23 02:58:47,430 Epoch[0] Batch [43800] Speed: 10.33 samples/sec Train-Accuracy=0.515714
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2016-09-23 03:00:02,907 Epoch[0] Batch [43900] Speed: 10.60 samples/sec Train-Accuracy=0.500000
2016-09-23 03:00:41,806 Epoch[0] Batch [43950] Speed: 10.28 samples/sec Train-Accuracy=0.501429
2016-09-23 03:01:20,572 Epoch[0] Batch [44000] Speed: 10.32 samples/sec Train-Accuracy=0.498571
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2016-09-23 03:04:27,276 Epoch[0] Batch [44250] Speed: 10.70 samples/sec Train-Accuracy=0.534286
2016-09-23 03:05:04,540 Epoch[0] Batch [44300] Speed: 10.73 samples/sec Train-Accuracy=0.477143
2016-09-23 03:05:42,421 Epoch[0] Batch [44350] Speed: 10.56 samples/sec Train-Accuracy=0.492857
2016-09-23 03:06:19,646 Epoch[0] Batch [44400] Speed: 10.75 samples/sec Train-Accuracy=0.517143
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2016-09-23 03:12:42,278 Epoch[0] Batch [44900] Speed: 10.77 samples/sec Train-Accuracy=0.512857
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2016-09-23 03:14:34,097 Epoch[0] Batch [45050] Speed: 10.76 samples/sec Train-Accuracy=0.527143
2016-09-23 03:15:11,987 Epoch[0] Batch [45100] Speed: 10.56 samples/sec Train-Accuracy=0.521429
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2016-09-23 03:44:17,300 Epoch[0] Batch [47400] Speed: 10.67 samples/sec Train-Accuracy=0.517143
2016-09-23 03:44:55,170 Epoch[0] Batch [47450] Speed: 10.56 samples/sec Train-Accuracy=0.487143
2016-09-23 03:45:33,244 Epoch[0] Batch [47500] Speed: 10.51 samples/sec Train-Accuracy=0.452857
2016-09-23 03:46:10,574 Epoch[0] Batch [47550] Speed: 10.72 samples/sec Train-Accuracy=0.522857
2016-09-23 03:46:47,760 Epoch[0] Batch [47600] Speed: 10.76 samples/sec Train-Accuracy=0.490000
2016-09-23 03:47:24,977 Epoch[0] Batch [47650] Speed: 10.75 samples/sec Train-Accuracy=0.527143
2016-09-23 03:48:02,210 Epoch[0] Batch [47700] Speed: 10.74 samples/sec Train-Accuracy=0.510000
2016-09-23 03:48:42,429 Epoch[0] Batch [47750] Speed: 9.95 samples/sec Train-Accuracy=0.501429
2016-09-23 03:49:24,098 Epoch[0] Batch [47800] Speed: 9.60 samples/sec Train-Accuracy=0.501429
2016-09-23 03:50:04,120 Epoch[0] Batch [47850] Speed: 9.99 samples/sec Train-Accuracy=0.500000
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2016-09-23 03:51:19,942 Epoch[0] Batch [47950] Speed: 10.35 samples/sec Train-Accuracy=0.512857
2016-09-23 03:51:58,132 Epoch[0] Batch [48000] Speed: 10.47 samples/sec Train-Accuracy=0.502857
2016-09-23 03:52:35,661 Epoch[0] Batch [48050] Speed: 10.66 samples/sec Train-Accuracy=0.488571
2016-09-23 03:53:15,073 Epoch[0] Batch [48100] Speed: 10.15 samples/sec Train-Accuracy=0.504286
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2016-09-23 03:55:11,551 Epoch[0] Batch [48250] Speed: 10.60 samples/sec Train-Accuracy=0.538571
2016-09-23 03:55:48,700 Epoch[0] Batch [48300] Speed: 10.77 samples/sec Train-Accuracy=0.507143
2016-09-23 03:56:27,715 Epoch[0] Batch [48350] Speed: 10.25 samples/sec Train-Accuracy=0.534286
2016-09-23 03:57:07,407 Epoch[0] Batch [48400] Speed: 10.08 samples/sec Train-Accuracy=0.511429
2016-09-23 03:57:44,657 Epoch[0] Batch [48450] Speed: 10.74 samples/sec Train-Accuracy=0.501429
2016-09-23 03:58:21,734 Epoch[0] Batch [48500] Speed: 10.79 samples/sec Train-Accuracy=0.505714
2016-09-23 03:58:58,818 Epoch[0] Batch [48550] Speed: 10.79 samples/sec Train-Accuracy=0.534286
2016-09-23 03:59:36,190 Epoch[0] Batch [48600] Speed: 10.70 samples/sec Train-Accuracy=0.504286
2016-09-23 04:00:17,279 Epoch[0] Batch [48650] Speed: 9.73 samples/sec Train-Accuracy=0.511429
2016-09-23 04:00:58,662 Epoch[0] Batch [48700] Speed: 9.67 samples/sec Train-Accuracy=0.488571
2016-09-23 04:01:36,552 Epoch[0] Batch [48750] Speed: 10.56 samples/sec Train-Accuracy=0.512857
2016-09-23 04:02:13,637 Epoch[0] Batch [48800] Speed: 10.79 samples/sec Train-Accuracy=0.511429
2016-09-23 04:02:50,668 Epoch[0] Batch [48850] Speed: 10.80 samples/sec Train-Accuracy=0.532857
2016-09-23 04:03:27,684 Epoch[0] Batch [48900] Speed: 10.81 samples/sec Train-Accuracy=0.501429
2016-09-23 04:04:04,999 Epoch[0] Batch [48950] Speed: 10.72 samples/sec Train-Accuracy=0.504286
2016-09-23 04:04:41,983 Epoch[0] Batch [49000] Speed: 10.82 samples/sec Train-Accuracy=0.478571
2016-09-23 04:05:19,036 Epoch[0] Batch [49050] Speed: 10.80 samples/sec Train-Accuracy=0.512857
2016-09-23 04:05:56,166 Epoch[0] Batch [49100] Speed: 10.77 samples/sec Train-Accuracy=0.482857
2016-09-23 04:06:33,228 Epoch[0] Batch [49150] Speed: 10.79 samples/sec Train-Accuracy=0.475714
2016-09-23 04:07:10,395 Epoch[0] Batch [49200] Speed: 10.76 samples/sec Train-Accuracy=0.508571
2016-09-23 04:07:47,615 Epoch[0] Batch [49250] Speed: 10.75 samples/sec Train-Accuracy=0.488571
2016-09-23 04:08:24,699 Epoch[0] Batch [49300] Speed: 10.79 samples/sec Train-Accuracy=0.515714
2016-09-23 04:09:01,896 Epoch[0] Batch [49350] Speed: 10.75 samples/sec Train-Accuracy=0.482857
2016-09-23 04:09:39,030 Epoch[0] Batch [49400] Speed: 10.77 samples/sec Train-Accuracy=0.505714
2016-09-23 04:10:16,504 Epoch[0] Batch [49450] Speed: 10.67 samples/sec Train-Accuracy=0.507143
2016-09-23 04:10:54,221 Epoch[0] Batch [49500] Speed: 10.61 samples/sec Train-Accuracy=0.534286
2016-09-23 04:11:31,669 Epoch[0] Batch [49550] Speed: 10.68 samples/sec Train-Accuracy=0.522857
2016-09-23 04:12:08,783 Epoch[0] Batch [49600] Speed: 10.78 samples/sec Train-Accuracy=0.507143
2016-09-23 04:12:45,930 Epoch[0] Batch [49650] Speed: 10.77 samples/sec Train-Accuracy=0.517143
2016-09-23 04:13:23,045 Epoch[0] Batch [49700] Speed: 10.78 samples/sec Train-Accuracy=0.518571
2016-09-23 04:14:00,243 Epoch[0] Batch [49750] Speed: 10.75 samples/sec Train-Accuracy=0.512857
2016-09-23 04:14:37,298 Epoch[0] Batch [49800] Speed: 10.80 samples/sec Train-Accuracy=0.527143
2016-09-23 04:15:14,399 Epoch[0] Batch [49850] Speed: 10.78 samples/sec Train-Accuracy=0.518571
2016-09-23 04:15:51,589 Epoch[0] Batch [49900] Speed: 10.76 samples/sec Train-Accuracy=0.517143
2016-09-23 04:16:28,807 Epoch[0] Batch [49950] Speed: 10.75 samples/sec Train-Accuracy=0.521429
2016-09-23 04:17:06,072 Epoch[0] Batch [50000] Speed: 10.73 samples/sec Train-Accuracy=0.521429
2016-09-23 04:17:46,263 Epoch[0] Batch [50050] Speed: 9.95 samples/sec Train-Accuracy=0.528571
2016-09-23 04:18:23,373 Epoch[0] Batch [50100] Speed: 10.78 samples/sec Train-Accuracy=0.501429
2016-09-23 04:19:00,454 Epoch[0] Batch [50150] Speed: 10.79 samples/sec Train-Accuracy=0.515714
2016-09-23 04:19:37,576 Epoch[0] Batch [50200] Speed: 10.78 samples/sec Train-Accuracy=0.510000
2016-09-23 04:20:14,762 Epoch[0] Batch [50250] Speed: 10.76 samples/sec Train-Accuracy=0.485714
2016-09-23 04:20:51,932 Epoch[0] Batch [50300] Speed: 10.76 samples/sec Train-Accuracy=0.505714
2016-09-23 04:21:28,966 Epoch[0] Batch [50350] Speed: 10.80 samples/sec Train-Accuracy=0.517143
2016-09-23 04:22:06,175 Epoch[0] Batch [50400] Speed: 10.75 samples/sec Train-Accuracy=0.530000
2016-09-23 04:22:43,285 Epoch[0] Batch [50450] Speed: 10.78 samples/sec Train-Accuracy=0.517143
2016-09-23 04:23:20,451 Epoch[0] Batch [50500] Speed: 10.76 samples/sec Train-Accuracy=0.504286
2016-09-23 04:23:58,806 Epoch[0] Batch [50550] Speed: 10.43 samples/sec Train-Accuracy=0.481429
2016-09-23 04:24:38,843 Epoch[0] Batch [50600] Speed: 9.99 samples/sec Train-Accuracy=0.522857
2016-09-23 04:25:17,354 Epoch[0] Batch [50650] Speed: 10.39 samples/sec Train-Accuracy=0.518571
2016-09-23 04:25:57,860 Epoch[0] Batch [50700] Speed: 9.88 samples/sec Train-Accuracy=0.501429
2016-09-23 04:26:37,064 Epoch[0] Batch [50750] Speed: 10.20 samples/sec Train-Accuracy=0.525714
2016-09-23 04:27:14,445 Epoch[0] Batch [50800] Speed: 10.70 samples/sec Train-Accuracy=0.515714
2016-09-23 04:27:51,644 Epoch[0] Batch [50850] Speed: 10.75 samples/sec Train-Accuracy=0.535714
2016-09-23 04:28:28,786 Epoch[0] Batch [50900] Speed: 10.77 samples/sec Train-Accuracy=0.515714
2016-09-23 04:29:06,301 Epoch[0] Batch [50950] Speed: 10.66 samples/sec Train-Accuracy=0.490000
2016-09-23 04:29:43,604 Epoch[0] Batch [51000] Speed: 10.72 samples/sec Train-Accuracy=0.535714
2016-09-23 04:30:20,747 Epoch[0] Batch [51050] Speed: 10.77 samples/sec Train-Accuracy=0.517143
2016-09-23 04:30:58,692 Epoch[0] Batch [51100] Speed: 10.54 samples/sec Train-Accuracy=0.480000
2016-09-23 04:31:35,976 Epoch[0] Batch [51150] Speed: 10.73 samples/sec Train-Accuracy=0.501429
2016-09-23 04:32:16,688 Epoch[0] Batch [51200] Speed: 9.83 samples/sec Train-Accuracy=0.525714
2016-09-23 04:32:56,468 Epoch[0] Batch [51250] Speed: 10.06 samples/sec Train-Accuracy=0.501429
2016-09-23 04:33:34,333 Epoch[0] Batch [51300] Speed: 10.56 samples/sec Train-Accuracy=0.508571
2016-09-23 04:34:11,582 Epoch[0] Batch [51350] Speed: 10.74 samples/sec Train-Accuracy=0.505714
2016-09-23 04:34:48,516 Epoch[0] Batch [51400] Speed: 10.83 samples/sec Train-Accuracy=0.518571
2016-09-23 04:35:25,644 Epoch[0] Batch [51450] Speed: 10.77 samples/sec Train-Accuracy=0.532857
2016-09-23 04:36:02,860 Epoch[0] Batch [51500] Speed: 10.75 samples/sec Train-Accuracy=0.534286
2016-09-23 04:36:39,965 Epoch[0] Batch [51550] Speed: 10.78 samples/sec Train-Accuracy=0.510000
2016-09-23 04:37:17,129 Epoch[0] Batch [51600] Speed: 10.76 samples/sec Train-Accuracy=0.524286
2016-09-23 04:37:54,923 Epoch[0] Batch [51650] Speed: 10.58 samples/sec Train-Accuracy=0.504286
2016-09-23 04:38:32,920 Epoch[0] Batch [51700] Speed: 10.53 samples/sec Train-Accuracy=0.507143
2016-09-23 04:39:13,717 Epoch[0] Batch [51750] Speed: 9.80 samples/sec Train-Accuracy=0.528571
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2016-09-23 04:40:28,357 Epoch[0] Batch [51850] Speed: 10.77 samples/sec Train-Accuracy=0.542857
2016-09-23 04:41:05,670 Epoch[0] Batch [51900] Speed: 10.72 samples/sec Train-Accuracy=0.528571
2016-09-23 04:41:42,844 Epoch[0] Batch [51950] Speed: 10.76 samples/sec Train-Accuracy=0.510000
2016-09-23 04:42:21,068 Epoch[0] Batch [52000] Speed: 10.46 samples/sec Train-Accuracy=0.537143
2016-09-23 04:42:59,217 Epoch[0] Batch [52050] Speed: 10.49 samples/sec Train-Accuracy=0.525714
2016-09-23 04:43:36,399 Epoch[0] Batch [52100] Speed: 10.76 samples/sec Train-Accuracy=0.512857
2016-09-23 04:44:13,425 Epoch[0] Batch [52150] Speed: 10.80 samples/sec Train-Accuracy=0.534286
2016-09-23 04:44:52,246 Epoch[0] Batch [52200] Speed: 10.30 samples/sec Train-Accuracy=0.487143
2016-09-23 04:45:33,003 Epoch[0] Batch [52250] Speed: 9.81 samples/sec Train-Accuracy=0.517143
2016-09-23 04:46:13,398 Epoch[0] Batch [52300] Speed: 9.90 samples/sec Train-Accuracy=0.534286
2016-09-23 04:46:54,323 Epoch[0] Batch [52350] Speed: 9.77 samples/sec Train-Accuracy=0.515714
2016-09-23 04:47:32,820 Epoch[0] Batch [52400] Speed: 10.39 samples/sec Train-Accuracy=0.528571
2016-09-23 04:48:10,044 Epoch[0] Batch [52450] Speed: 10.75 samples/sec Train-Accuracy=0.545714
2016-09-23 04:48:47,315 Epoch[0] Batch [52500] Speed: 10.73 samples/sec Train-Accuracy=0.514286
2016-09-23 04:49:24,673 Epoch[0] Batch [52550] Speed: 10.71 samples/sec Train-Accuracy=0.564286
2016-09-23 04:50:01,906 Epoch[0] Batch [52600] Speed: 10.74 samples/sec Train-Accuracy=0.512857
2016-09-23 04:50:39,102 Epoch[0] Batch [52650] Speed: 10.75 samples/sec Train-Accuracy=0.524286
2016-09-23 04:51:16,215 Epoch[0] Batch [52700] Speed: 10.78 samples/sec Train-Accuracy=0.485714
2016-09-23 04:51:53,495 Epoch[0] Batch [52750] Speed: 10.73 samples/sec Train-Accuracy=0.494286
2016-09-23 04:52:30,652 Epoch[0] Batch [52800] Speed: 10.77 samples/sec Train-Accuracy=0.517143
2016-09-23 04:53:08,114 Epoch[0] Batch [52850] Speed: 10.68 samples/sec Train-Accuracy=0.511429
2016-09-23 04:53:48,526 Epoch[0] Batch [52900] Speed: 9.90 samples/sec Train-Accuracy=0.534286
2016-09-23 04:54:25,679 Epoch[0] Batch [52950] Speed: 10.77 samples/sec Train-Accuracy=0.541429
2016-09-23 04:55:02,821 Epoch[0] Batch [53000] Speed: 10.77 samples/sec Train-Accuracy=0.544286
2016-09-23 04:55:39,867 Epoch[0] Batch [53050] Speed: 10.80 samples/sec Train-Accuracy=0.504286
2016-09-23 04:56:17,246 Epoch[0] Batch [53100] Speed: 10.70 samples/sec Train-Accuracy=0.512857
2016-09-23 04:56:57,856 Epoch[0] Batch [53150] Speed: 9.85 samples/sec Train-Accuracy=0.521429
2016-09-23 04:57:37,279 Epoch[0] Batch [53200] Speed: 10.15 samples/sec Train-Accuracy=0.560000
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2016-09-23 04:58:59,633 Epoch[0] Batch [53300] Speed: 9.78 samples/sec Train-Accuracy=0.492857
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2016-09-23 05:02:06,576 Epoch[0] Batch [53550] Speed: 10.75 samples/sec Train-Accuracy=0.501429
2016-09-23 05:02:44,122 Epoch[0] Batch [53600] Speed: 10.65 samples/sec Train-Accuracy=0.522857
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2016-09-23 05:04:36,109 Epoch[0] Batch [53750] Speed: 10.78 samples/sec Train-Accuracy=0.484286
2016-09-23 05:05:13,296 Epoch[0] Batch [53800] Speed: 10.76 samples/sec Train-Accuracy=0.507143
2016-09-23 05:05:50,437 Epoch[0] Batch [53850] Speed: 10.77 samples/sec Train-Accuracy=0.547143
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2016-09-23 05:11:32,929 Epoch[0] Batch [54300] Speed: 10.14 samples/sec Train-Accuracy=0.502857
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2016-09-23 05:14:07,315 Epoch[0] Batch [54500] Speed: 10.26 samples/sec Train-Accuracy=0.548571
2016-09-23 05:14:48,329 Epoch[0] Batch [54550] Speed: 9.75 samples/sec Train-Accuracy=0.555714
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2016-09-23 05:17:19,500 Epoch[0] Batch [54750] Speed: 10.77 samples/sec Train-Accuracy=0.532857
2016-09-23 05:17:56,681 Epoch[0] Batch [54800] Speed: 10.76 samples/sec Train-Accuracy=0.530000
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2016-09-23 05:19:48,501 Epoch[0] Batch [54950] Speed: 10.77 samples/sec Train-Accuracy=0.540000
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2016-09-23 05:25:25,046 Epoch[0] Batch [55400] Speed: 10.45 samples/sec Train-Accuracy=0.514286
2016-09-23 05:26:02,196 Epoch[0] Batch [55450] Speed: 10.77 samples/sec Train-Accuracy=0.537143
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2016-09-23 05:27:16,594 Epoch[0] Batch [55550] Speed: 10.75 samples/sec Train-Accuracy=0.532857
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2016-09-23 06:55:25,128 Epoch[0] Resetting Data Iterator
2016-09-23 06:55:25,128 Epoch[0] Time cost=47240.770
2016-09-23 06:56:13,231 Epoch[0] Validation-Accuracy=0.546857
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2016-09-23 07:44:57,472 Epoch[1] Batch [3850] Speed: 10.75 samples/sec Train-Accuracy=0.571429
2016-09-23 07:45:34,645 Epoch[1] Batch [3900] Speed: 10.76 samples/sec Train-Accuracy=0.544286
2016-09-23 07:46:11,784 Epoch[1] Batch [3950] Speed: 10.77 samples/sec Train-Accuracy=0.545714
2016-09-23 07:46:51,879 Epoch[1] Batch [4000] Speed: 9.98 samples/sec Train-Accuracy=0.547143
2016-09-23 07:47:32,197 Epoch[1] Batch [4050] Speed: 9.92 samples/sec Train-Accuracy=0.580000
2016-09-23 07:48:11,467 Epoch[1] Batch [4100] Speed: 10.19 samples/sec Train-Accuracy=0.574286
2016-09-23 07:48:49,757 Epoch[1] Batch [4150] Speed: 10.45 samples/sec Train-Accuracy=0.578571
2016-09-23 07:49:26,971 Epoch[1] Batch [4200] Speed: 10.75 samples/sec Train-Accuracy=0.550000
2016-09-23 07:50:04,157 Epoch[1] Batch [4250] Speed: 10.76 samples/sec Train-Accuracy=0.552857
2016-09-23 07:50:41,432 Epoch[1] Batch [4300] Speed: 10.73 samples/sec Train-Accuracy=0.574286
2016-09-23 07:51:19,206 Epoch[1] Batch [4350] Speed: 10.59 samples/sec Train-Accuracy=0.542857
2016-09-23 07:51:57,935 Epoch[1] Batch [4400] Speed: 10.33 samples/sec Train-Accuracy=0.574286
2016-09-23 07:52:35,983 Epoch[1] Batch [4450] Speed: 10.51 samples/sec Train-Accuracy=0.638571
2016-09-23 07:53:13,176 Epoch[1] Batch [4500] Speed: 10.75 samples/sec Train-Accuracy=0.570000
2016-09-23 07:53:50,331 Epoch[1] Batch [4550] Speed: 10.77 samples/sec Train-Accuracy=0.585714
2016-09-23 07:54:27,436 Epoch[1] Batch [4600] Speed: 10.78 samples/sec Train-Accuracy=0.561429
2016-09-23 07:55:04,686 Epoch[1] Batch [4650] Speed: 10.74 samples/sec Train-Accuracy=0.568571
2016-09-23 07:55:41,916 Epoch[1] Batch [4700] Speed: 10.74 samples/sec Train-Accuracy=0.557143
2016-09-23 07:56:19,018 Epoch[1] Batch [4750] Speed: 10.78 samples/sec Train-Accuracy=0.591429
2016-09-23 07:56:56,287 Epoch[1] Batch [4800] Speed: 10.73 samples/sec Train-Accuracy=0.557143
2016-09-23 07:57:33,563 Epoch[1] Batch [4850] Speed: 10.73 samples/sec Train-Accuracy=0.585714
2016-09-23 07:58:10,889 Epoch[1] Batch [4900] Speed: 10.72 samples/sec Train-Accuracy=0.577143
2016-09-23 07:58:48,156 Epoch[1] Batch [4950] Speed: 10.73 samples/sec Train-Accuracy=0.572857
2016-09-23 07:59:25,423 Epoch[1] Batch [5000] Speed: 10.73 samples/sec Train-Accuracy=0.564286
2016-09-23 08:00:02,588 Epoch[1] Batch [5050] Speed: 10.76 samples/sec Train-Accuracy=0.560000
2016-09-23 08:00:39,853 Epoch[1] Batch [5100] Speed: 10.73 samples/sec Train-Accuracy=0.578571
2016-09-23 08:01:16,986 Epoch[1] Batch [5150] Speed: 10.77 samples/sec Train-Accuracy=0.585714
2016-09-23 08:01:54,167 Epoch[1] Batch [5200] Speed: 10.76 samples/sec Train-Accuracy=0.568571
2016-09-23 08:02:31,347 Epoch[1] Batch [5250] Speed: 10.76 samples/sec Train-Accuracy=0.532857
2016-09-23 08:03:08,517 Epoch[1] Batch [5300] Speed: 10.76 samples/sec Train-Accuracy=0.530000
2016-09-23 08:03:45,688 Epoch[1] Batch [5350] Speed: 10.76 samples/sec Train-Accuracy=0.562857
2016-09-23 08:04:22,824 Epoch[1] Batch [5400] Speed: 10.77 samples/sec Train-Accuracy=0.541429
2016-09-23 08:05:00,345 Epoch[1] Batch [5450] Speed: 10.66 samples/sec Train-Accuracy=0.571429
2016-09-23 08:05:37,514 Epoch[1] Batch [5500] Speed: 10.76 samples/sec Train-Accuracy=0.587143
2016-09-23 08:06:14,648 Epoch[1] Batch [5550] Speed: 10.77 samples/sec Train-Accuracy=0.570000
2016-09-23 08:06:51,826 Epoch[1] Batch [5600] Speed: 10.76 samples/sec Train-Accuracy=0.545714
2016-09-23 08:07:28,976 Epoch[1] Batch [5650] Speed: 10.77 samples/sec Train-Accuracy=0.598571
2016-09-23 08:08:06,170 Epoch[1] Batch [5700] Speed: 10.75 samples/sec Train-Accuracy=0.574286
2016-09-23 08:08:43,387 Epoch[1] Batch [5750] Speed: 10.75 samples/sec Train-Accuracy=0.548571
2016-09-23 08:09:21,899 Epoch[1] Batch [5800] Speed: 10.39 samples/sec Train-Accuracy=0.562857
2016-09-23 08:10:00,238 Epoch[1] Batch [5850] Speed: 10.43 samples/sec Train-Accuracy=0.554286
2016-09-23 08:10:37,567 Epoch[1] Batch [5900] Speed: 10.72 samples/sec Train-Accuracy=0.555714
2016-09-23 08:11:14,844 Epoch[1] Batch [5950] Speed: 10.73 samples/sec Train-Accuracy=0.587143
2016-09-23 08:11:53,802 Epoch[1] Batch [6000] Speed: 10.27 samples/sec Train-Accuracy=0.550000
2016-09-23 08:12:32,349 Epoch[1] Batch [6050] Speed: 10.38 samples/sec Train-Accuracy=0.590000
2016-09-23 08:13:10,948 Epoch[1] Batch [6100] Speed: 10.36 samples/sec Train-Accuracy=0.544286
2016-09-23 08:13:50,619 Epoch[1] Batch [6150] Speed: 10.08 samples/sec Train-Accuracy=0.577143
2016-09-23 08:14:27,803 Epoch[1] Batch [6200] Speed: 10.76 samples/sec Train-Accuracy=0.580000
2016-09-23 08:15:04,954 Epoch[1] Batch [6250] Speed: 10.77 samples/sec Train-Accuracy=0.564286
2016-09-23 08:15:42,064 Epoch[1] Batch [6300] Speed: 10.78 samples/sec Train-Accuracy=0.564286
2016-09-23 08:16:19,216 Epoch[1] Batch [6350] Speed: 10.77 samples/sec Train-Accuracy=0.572857
2016-09-23 08:16:56,294 Epoch[1] Batch [6400] Speed: 10.79 samples/sec Train-Accuracy=0.572857
2016-09-23 08:17:33,519 Epoch[1] Batch [6450] Speed: 10.75 samples/sec Train-Accuracy=0.591429
2016-09-23 08:18:14,039 Epoch[1] Batch [6500] Speed: 9.87 samples/sec Train-Accuracy=0.558571
2016-09-23 08:18:54,482 Epoch[1] Batch [6550] Speed: 9.89 samples/sec Train-Accuracy=0.558571
2016-09-23 08:19:33,332 Epoch[1] Batch [6600] Speed: 10.30 samples/sec Train-Accuracy=0.560000
2016-09-23 08:20:10,530 Epoch[1] Batch [6650] Speed: 10.75 samples/sec Train-Accuracy=0.551429
2016-09-23 08:20:47,694 Epoch[1] Batch [6700] Speed: 10.76 samples/sec Train-Accuracy=0.572857
2016-09-23 08:21:24,847 Epoch[1] Batch [6750] Speed: 10.77 samples/sec Train-Accuracy=0.571429
2016-09-23 08:22:02,004 Epoch[1] Batch [6800] Speed: 10.77 samples/sec Train-Accuracy=0.572857
2016-09-23 08:22:39,171 Epoch[1] Batch [6850] Speed: 10.76 samples/sec Train-Accuracy=0.560000
2016-09-23 08:23:16,273 Epoch[1] Batch [6900] Speed: 10.78 samples/sec Train-Accuracy=0.552857
2016-09-23 08:23:53,418 Epoch[1] Batch [6950] Speed: 10.77 samples/sec Train-Accuracy=0.601429
2016-09-23 08:24:30,598 Epoch[1] Batch [7000] Speed: 10.76 samples/sec Train-Accuracy=0.537143
2016-09-23 08:25:07,781 Epoch[1] Batch [7050] Speed: 10.76 samples/sec Train-Accuracy=0.540000
2016-09-23 08:25:45,569 Epoch[1] Batch [7100] Speed: 10.59 samples/sec Train-Accuracy=0.552857
2016-09-23 08:26:23,517 Epoch[1] Batch [7150] Speed: 10.54 samples/sec Train-Accuracy=0.577143
2016-09-23 08:27:01,387 Epoch[1] Batch [7200] Speed: 10.56 samples/sec Train-Accuracy=0.554286
2016-09-23 08:27:38,724 Epoch[1] Batch [7250] Speed: 10.71 samples/sec Train-Accuracy=0.568571
2016-09-23 08:28:15,973 Epoch[1] Batch [7300] Speed: 10.74 samples/sec Train-Accuracy=0.528571
2016-09-23 08:28:53,208 Epoch[1] Batch [7350] Speed: 10.74 samples/sec Train-Accuracy=0.574286
2016-09-23 08:29:30,432 Epoch[1] Batch [7400] Speed: 10.75 samples/sec Train-Accuracy=0.605714
2016-09-23 08:30:07,543 Epoch[1] Batch [7450] Speed: 10.78 samples/sec Train-Accuracy=0.568571
2016-09-23 08:30:44,741 Epoch[1] Batch [7500] Speed: 10.75 samples/sec Train-Accuracy=0.562857
2016-09-23 08:31:22,506 Epoch[1] Batch [7550] Speed: 10.59 samples/sec Train-Accuracy=0.584286
2016-09-23 08:32:00,163 Epoch[1] Batch [7600] Speed: 10.62 samples/sec Train-Accuracy=0.567143
2016-09-23 08:32:37,348 Epoch[1] Batch [7650] Speed: 10.76 samples/sec Train-Accuracy=0.565714
2016-09-23 08:33:15,533 Epoch[1] Batch [7700] Speed: 10.48 samples/sec Train-Accuracy=0.572857
2016-09-23 08:33:52,706 Epoch[1] Batch [7750] Speed: 10.76 samples/sec Train-Accuracy=0.572857
2016-09-23 08:34:30,087 Epoch[1] Batch [7800] Speed: 10.70 samples/sec Train-Accuracy=0.535714
2016-09-23 08:35:07,560 Epoch[1] Batch [7850] Speed: 10.67 samples/sec Train-Accuracy=0.548571
2016-09-23 08:35:44,819 Epoch[1] Batch [7900] Speed: 10.74 samples/sec Train-Accuracy=0.541429
2016-09-23 08:36:21,998 Epoch[1] Batch [7950] Speed: 10.76 samples/sec Train-Accuracy=0.567143
2016-09-23 08:36:58,324 Epoch[1] Batch [8000] Speed: 11.01 samples/sec Train-Accuracy=0.567143
2016-09-23 08:37:34,807 Epoch[1] Batch [8050] Speed: 10.96 samples/sec Train-Accuracy=0.587143
2016-09-23 08:38:11,869 Epoch[1] Batch [8100] Speed: 10.79 samples/sec Train-Accuracy=0.598571
2016-09-23 08:38:49,007 Epoch[1] Batch [8150] Speed: 10.77 samples/sec Train-Accuracy=0.575714
2016-09-23 08:39:26,843 Epoch[1] Batch [8200] Speed: 10.57 samples/sec Train-Accuracy=0.588571
2016-09-23 08:40:06,594 Epoch[1] Batch [8250] Speed: 10.06 samples/sec Train-Accuracy=0.550000
2016-09-23 08:40:43,880 Epoch[1] Batch [8300] Speed: 10.73 samples/sec Train-Accuracy=0.581429
2016-09-23 08:41:21,335 Epoch[1] Batch [8350] Speed: 10.68 samples/sec Train-Accuracy=0.595714
2016-09-23 08:41:58,133 Epoch[1] Batch [8400] Speed: 10.87 samples/sec Train-Accuracy=0.551429
2016-09-23 08:42:34,282 Epoch[1] Batch [8450] Speed: 11.07 samples/sec Train-Accuracy=0.592857
2016-09-23 08:43:11,498 Epoch[1] Batch [8500] Speed: 10.75 samples/sec Train-Accuracy=0.551429
2016-09-23 08:43:48,954 Epoch[1] Batch [8550] Speed: 10.68 samples/sec Train-Accuracy=0.584286
2016-09-23 08:44:25,202 Epoch[1] Batch [8600] Speed: 11.04 samples/sec Train-Accuracy=0.560000
2016-09-23 08:45:01,483 Epoch[1] Batch [8650] Speed: 11.03 samples/sec Train-Accuracy=0.592857
2016-09-23 08:45:37,738 Epoch[1] Batch [8700] Speed: 11.03 samples/sec Train-Accuracy=0.562857
2016-09-23 08:46:13,859 Epoch[1] Batch [8750] Speed: 11.07 samples/sec Train-Accuracy=0.577143
2016-09-23 08:46:49,986 Epoch[1] Batch [8800] Speed: 11.07 samples/sec Train-Accuracy=0.594286
2016-09-23 08:47:26,164 Epoch[1] Batch [8850] Speed: 11.06 samples/sec Train-Accuracy=0.537143
2016-09-23 08:48:02,301 Epoch[1] Batch [8900] Speed: 11.07 samples/sec Train-Accuracy=0.565714
2016-09-23 08:48:38,351 Epoch[1] Batch [8950] Speed: 11.10 samples/sec Train-Accuracy=0.572857
2016-09-23 08:49:14,462 Epoch[1] Batch [9000] Speed: 11.08 samples/sec Train-Accuracy=0.564286
2016-09-23 08:49:50,508 Epoch[1] Batch [9050] Speed: 11.10 samples/sec Train-Accuracy=0.610000
2016-09-23 08:50:31,334 Epoch[1] Batch [9100] Speed: 9.80 samples/sec Train-Accuracy=0.554286
2016-09-23 08:51:12,967 Epoch[1] Batch [9150] Speed: 9.61 samples/sec Train-Accuracy=0.590000
2016-09-23 08:51:52,589 Epoch[1] Batch [9200] Speed: 10.10 samples/sec Train-Accuracy=0.555714
2016-09-23 08:52:28,618 Epoch[1] Batch [9250] Speed: 11.10 samples/sec Train-Accuracy=0.618571
2016-09-23 08:53:04,759 Epoch[1] Batch [9300] Speed: 11.07 samples/sec Train-Accuracy=0.542857
2016-09-23 08:53:41,022 Epoch[1] Batch [9350] Speed: 11.03 samples/sec Train-Accuracy=0.542857
2016-09-23 08:54:17,173 Epoch[1] Batch [9400] Speed: 11.06 samples/sec Train-Accuracy=0.574286
2016-09-23 08:54:53,320 Epoch[1] Batch [9450] Speed: 11.07 samples/sec Train-Accuracy=0.595714
2016-09-23 08:55:29,423 Epoch[1] Batch [9500] Speed: 11.08 samples/sec Train-Accuracy=0.575714
2016-09-23 08:56:05,570 Epoch[1] Batch [9550] Speed: 11.07 samples/sec Train-Accuracy=0.582857
2016-09-23 08:56:41,652 Epoch[1] Batch [9600] Speed: 11.09 samples/sec Train-Accuracy=0.602857
2016-09-23 08:57:17,727 Epoch[1] Batch [9650] Speed: 11.09 samples/sec Train-Accuracy=0.584286
2016-09-23 08:57:55,027 Epoch[1] Batch [9700] Speed: 10.72 samples/sec Train-Accuracy=0.555714
2016-09-23 08:58:36,121 Epoch[1] Batch [9750] Speed: 9.73 samples/sec Train-Accuracy=0.570000
2016-09-23 08:59:16,953 Epoch[1] Batch [9800] Speed: 9.80 samples/sec Train-Accuracy=0.581429
2016-09-23 08:59:53,923 Epoch[1] Batch [9850] Speed: 10.82 samples/sec Train-Accuracy=0.570000
2016-09-23 09:00:30,016 Epoch[1] Batch [9900] Speed: 11.08 samples/sec Train-Accuracy=0.594286
2016-09-23 09:01:06,098 Epoch[1] Batch [9950] Speed: 11.09 samples/sec Train-Accuracy=0.585714
2016-09-23 09:01:42,279 Epoch[1] Batch [10000] Speed: 11.06 samples/sec Train-Accuracy=0.581429
2016-09-23 09:02:18,347 Epoch[1] Batch [10050] Speed: 11.09 samples/sec Train-Accuracy=0.524286
2016-09-23 09:02:55,007 Epoch[1] Batch [10100] Speed: 10.91 samples/sec Train-Accuracy=0.582857
2016-09-23 09:03:32,147 Epoch[1] Batch [10150] Speed: 10.77 samples/sec Train-Accuracy=0.558571
2016-09-23 09:04:09,381 Epoch[1] Batch [10200] Speed: 10.74 samples/sec Train-Accuracy=0.562857
2016-09-23 09:04:46,599 Epoch[1] Batch [10250] Speed: 10.75 samples/sec Train-Accuracy=0.562857
2016-09-23 09:05:24,135 Epoch[1] Batch [10300] Speed: 10.66 samples/sec Train-Accuracy=0.594286
2016-09-23 09:06:01,885 Epoch[1] Batch [10350] Speed: 10.60 samples/sec Train-Accuracy=0.604286
2016-09-23 09:06:41,284 Epoch[1] Batch [10400] Speed: 10.15 samples/sec Train-Accuracy=0.541429
2016-09-23 09:07:18,011 Epoch[1] Batch [10450] Speed: 10.89 samples/sec Train-Accuracy=0.584286
2016-09-23 09:07:54,201 Epoch[1] Batch [10500] Speed: 11.05 samples/sec Train-Accuracy=0.585714
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2016-09-23 09:09:06,481 Epoch[1] Batch [10600] Speed: 11.09 samples/sec Train-Accuracy=0.564286
2016-09-23 09:09:42,562 Epoch[1] Batch [10650] Speed: 11.09 samples/sec Train-Accuracy=0.558571
2016-09-23 09:10:19,228 Epoch[1] Batch [10700] Speed: 10.91 samples/sec Train-Accuracy=0.578571
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2016-09-23 09:12:10,134 Epoch[1] Batch [10850] Speed: 10.69 samples/sec Train-Accuracy=0.558571
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2016-09-23 09:13:25,639 Epoch[1] Batch [10950] Speed: 10.77 samples/sec Train-Accuracy=0.538571
2016-09-23 09:14:02,772 Epoch[1] Batch [11000] Speed: 10.77 samples/sec Train-Accuracy=0.557143
2016-09-23 09:14:39,978 Epoch[1] Batch [11050] Speed: 10.75 samples/sec Train-Accuracy=0.577143
2016-09-23 09:15:17,146 Epoch[1] Batch [11100] Speed: 10.76 samples/sec Train-Accuracy=0.558571
2016-09-23 09:15:54,283 Epoch[1] Batch [11150] Speed: 10.77 samples/sec Train-Accuracy=0.598571
2016-09-23 09:16:31,425 Epoch[1] Batch [11200] Speed: 10.77 samples/sec Train-Accuracy=0.590000
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2016-09-23 09:17:45,595 Epoch[1] Batch [11300] Speed: 10.80 samples/sec Train-Accuracy=0.584286
2016-09-23 09:18:22,648 Epoch[1] Batch [11350] Speed: 10.80 samples/sec Train-Accuracy=0.591429
2016-09-23 09:18:59,753 Epoch[1] Batch [11400] Speed: 10.78 samples/sec Train-Accuracy=0.560000
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2016-09-23 09:20:13,876 Epoch[1] Batch [11500] Speed: 10.77 samples/sec Train-Accuracy=0.554286
2016-09-23 09:20:50,929 Epoch[1] Batch [11550] Speed: 10.80 samples/sec Train-Accuracy=0.597143
2016-09-23 09:21:28,086 Epoch[1] Batch [11600] Speed: 10.77 samples/sec Train-Accuracy=0.564286
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2016-09-23 09:25:14,647 Epoch[1] Batch [11900] Speed: 10.77 samples/sec Train-Accuracy=0.574286
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2016-09-23 09:27:12,209 Epoch[1] Batch [12050] Speed: 9.59 samples/sec Train-Accuracy=0.562857
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2016-09-23 09:32:01,930 Epoch[1] Batch [12450] Speed: 11.08 samples/sec Train-Accuracy=0.588571
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2016-09-23 09:36:15,419 Epoch[1] Batch [12800] Speed: 11.05 samples/sec Train-Accuracy=0.601429
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2016-09-23 09:41:49,069 Epoch[1] Batch [13250] Speed: 10.65 samples/sec Train-Accuracy=0.565714
2016-09-23 09:42:26,474 Epoch[1] Batch [13300] Speed: 10.69 samples/sec Train-Accuracy=0.567143
2016-09-23 09:43:04,051 Epoch[1] Batch [13350] Speed: 10.64 samples/sec Train-Accuracy=0.571429
2016-09-23 09:43:41,657 Epoch[1] Batch [13400] Speed: 10.64 samples/sec Train-Accuracy=0.594286
2016-09-23 09:44:18,836 Epoch[1] Batch [13450] Speed: 10.76 samples/sec Train-Accuracy=0.568571
2016-09-23 09:44:56,187 Epoch[1] Batch [13500] Speed: 10.71 samples/sec Train-Accuracy=0.574286
2016-09-23 09:45:33,766 Epoch[1] Batch [13550] Speed: 10.64 samples/sec Train-Accuracy=0.585714
2016-09-23 09:46:10,909 Epoch[1] Batch [13600] Speed: 10.77 samples/sec Train-Accuracy=0.597143
2016-09-23 09:46:48,328 Epoch[1] Batch [13650] Speed: 10.69 samples/sec Train-Accuracy=0.598571
2016-09-23 09:47:25,843 Epoch[1] Batch [13700] Speed: 10.66 samples/sec Train-Accuracy=0.562857
2016-09-23 09:48:02,950 Epoch[1] Batch [13750] Speed: 10.78 samples/sec Train-Accuracy=0.594286
2016-09-23 09:48:40,282 Epoch[1] Batch [13800] Speed: 10.71 samples/sec Train-Accuracy=0.552857
2016-09-23 09:49:17,984 Epoch[1] Batch [13850] Speed: 10.61 samples/sec Train-Accuracy=0.582857
2016-09-23 09:49:55,536 Epoch[1] Batch [13900] Speed: 10.65 samples/sec Train-Accuracy=0.622857
2016-09-23 09:50:32,842 Epoch[1] Batch [13950] Speed: 10.72 samples/sec Train-Accuracy=0.592857
2016-09-23 09:51:09,525 Epoch[1] Batch [14000] Speed: 10.90 samples/sec Train-Accuracy=0.584286
2016-09-23 09:51:45,849 Epoch[1] Batch [14050] Speed: 11.01 samples/sec Train-Accuracy=0.581429
2016-09-23 09:52:22,055 Epoch[1] Batch [14100] Speed: 11.05 samples/sec Train-Accuracy=0.590000
2016-09-23 09:52:58,204 Epoch[1] Batch [14150] Speed: 11.07 samples/sec Train-Accuracy=0.597143
2016-09-23 09:53:34,340 Epoch[1] Batch [14200] Speed: 11.07 samples/sec Train-Accuracy=0.601429
2016-09-23 09:54:10,434 Epoch[1] Batch [14250] Speed: 11.08 samples/sec Train-Accuracy=0.600000
2016-09-23 09:54:46,535 Epoch[1] Batch [14300] Speed: 11.08 samples/sec Train-Accuracy=0.570000
2016-09-23 09:55:22,774 Epoch[1] Batch [14350] Speed: 11.04 samples/sec Train-Accuracy=0.577143
2016-09-23 09:55:58,901 Epoch[1] Batch [14400] Speed: 11.07 samples/sec Train-Accuracy=0.587143
2016-09-23 09:56:35,039 Epoch[1] Batch [14450] Speed: 11.07 samples/sec Train-Accuracy=0.575714
2016-09-23 09:57:11,221 Epoch[1] Batch [14500] Speed: 11.06 samples/sec Train-Accuracy=0.614286
2016-09-23 09:57:47,313 Epoch[1] Batch [14550] Speed: 11.08 samples/sec Train-Accuracy=0.582857
2016-09-23 09:58:23,376 Epoch[1] Batch [14600] Speed: 11.09 samples/sec Train-Accuracy=0.597143
2016-09-23 09:58:59,988 Epoch[1] Batch [14650] Speed: 10.93 samples/sec Train-Accuracy=0.587143
2016-09-23 09:59:36,522 Epoch[1] Batch [14700] Speed: 10.95 samples/sec Train-Accuracy=0.590000
2016-09-23 10:00:12,728 Epoch[1] Batch [14750] Speed: 11.05 samples/sec Train-Accuracy=0.628571
2016-09-23 10:00:49,254 Epoch[1] Batch [14800] Speed: 10.95 samples/sec Train-Accuracy=0.608571
2016-09-23 10:01:25,902 Epoch[1] Batch [14850] Speed: 10.91 samples/sec Train-Accuracy=0.587143
2016-09-23 10:02:02,969 Epoch[1] Batch [14900] Speed: 10.79 samples/sec Train-Accuracy=0.618571
2016-09-23 10:02:39,416 Epoch[1] Batch [14950] Speed: 10.98 samples/sec Train-Accuracy=0.610000
2016-09-23 10:03:15,876 Epoch[1] Batch [15000] Speed: 10.97 samples/sec Train-Accuracy=0.601429
2016-09-23 10:03:51,948 Epoch[1] Batch [15050] Speed: 11.09 samples/sec Train-Accuracy=0.540000
2016-09-23 10:04:28,849 Epoch[1] Batch [15100] Speed: 10.84 samples/sec Train-Accuracy=0.597143
2016-09-23 10:05:06,639 Epoch[1] Batch [15150] Speed: 10.59 samples/sec Train-Accuracy=0.581429
2016-09-23 10:05:43,105 Epoch[1] Batch [15200] Speed: 10.97 samples/sec Train-Accuracy=0.577143
2016-09-23 10:06:21,080 Epoch[1] Batch [15250] Speed: 10.53 samples/sec Train-Accuracy=0.570000
2016-09-23 10:06:59,513 Epoch[1] Batch [15300] Speed: 10.41 samples/sec Train-Accuracy=0.598571
2016-09-23 10:07:37,976 Epoch[1] Batch [15350] Speed: 10.40 samples/sec Train-Accuracy=0.585714
2016-09-23 10:08:16,473 Epoch[1] Batch [15400] Speed: 10.39 samples/sec Train-Accuracy=0.580000
2016-09-23 10:08:54,918 Epoch[1] Batch [15450] Speed: 10.40 samples/sec Train-Accuracy=0.578571
2016-09-23 10:09:31,375 Epoch[1] Batch [15500] Speed: 10.97 samples/sec Train-Accuracy=0.571429
2016-09-23 10:10:08,374 Epoch[1] Batch [15550] Speed: 10.81 samples/sec Train-Accuracy=0.584286
2016-09-23 10:10:44,632 Epoch[1] Batch [15600] Speed: 11.03 samples/sec Train-Accuracy=0.580000
2016-09-23 10:11:21,271 Epoch[1] Batch [15650] Speed: 10.92 samples/sec Train-Accuracy=0.578571
2016-09-23 10:11:58,661 Epoch[1] Batch [15700] Speed: 10.70 samples/sec Train-Accuracy=0.600000
2016-09-23 10:12:34,940 Epoch[1] Batch [15750] Speed: 11.03 samples/sec Train-Accuracy=0.598571
2016-09-23 10:13:13,157 Epoch[1] Batch [15800] Speed: 10.47 samples/sec Train-Accuracy=0.604286
2016-09-23 10:13:51,372 Epoch[1] Batch [15850] Speed: 10.47 samples/sec Train-Accuracy=0.582857
2016-09-23 10:14:29,455 Epoch[1] Batch [15900] Speed: 10.50 samples/sec Train-Accuracy=0.552857
2016-09-23 10:15:08,547 Epoch[1] Batch [15950] Speed: 10.23 samples/sec Train-Accuracy=0.607143
2016-09-23 10:15:47,504 Epoch[1] Batch [16000] Speed: 10.27 samples/sec Train-Accuracy=0.615714
2016-09-23 10:16:26,955 Epoch[1] Batch [16050] Speed: 10.14 samples/sec Train-Accuracy=0.591429
2016-09-23 10:17:05,279 Epoch[1] Batch [16100] Speed: 10.44 samples/sec Train-Accuracy=0.638571
2016-09-23 10:17:43,776 Epoch[1] Batch [16150] Speed: 10.39 samples/sec Train-Accuracy=0.562857
2016-09-23 10:18:22,251 Epoch[1] Batch [16200] Speed: 10.40 samples/sec Train-Accuracy=0.567143
2016-09-23 10:19:01,030 Epoch[1] Batch [16250] Speed: 10.32 samples/sec Train-Accuracy=0.598571
2016-09-23 10:19:39,842 Epoch[1] Batch [16300] Speed: 10.31 samples/sec Train-Accuracy=0.592857
2016-09-23 10:20:17,029 Epoch[1] Batch [16350] Speed: 10.76 samples/sec Train-Accuracy=0.581429
2016-09-23 10:20:53,849 Epoch[1] Batch [16400] Speed: 10.86 samples/sec Train-Accuracy=0.592857
2016-09-23 10:21:30,094 Epoch[1] Batch [16450] Speed: 11.04 samples/sec Train-Accuracy=0.608571
2016-09-23 10:22:08,096 Epoch[1] Batch [16500] Speed: 10.53 samples/sec Train-Accuracy=0.608571
2016-09-23 10:22:44,387 Epoch[1] Batch [16550] Speed: 11.02 samples/sec Train-Accuracy=0.550000
2016-09-23 10:23:20,666 Epoch[1] Batch [16600] Speed: 11.03 samples/sec Train-Accuracy=0.594286
2016-09-23 10:23:56,797 Epoch[1] Batch [16650] Speed: 11.07 samples/sec Train-Accuracy=0.621429
2016-09-23 10:24:32,945 Epoch[1] Batch [16700] Speed: 11.07 samples/sec Train-Accuracy=0.615714
2016-09-23 10:25:09,007 Epoch[1] Batch [16750] Speed: 11.09 samples/sec Train-Accuracy=0.570000
2016-09-23 10:25:45,125 Epoch[1] Batch [16800] Speed: 11.07 samples/sec Train-Accuracy=0.607143
2016-09-23 10:26:21,186 Epoch[1] Batch [16850] Speed: 11.09 samples/sec Train-Accuracy=0.591429
2016-09-23 10:27:04,142 Epoch[1] Batch [16900] Speed: 9.31 samples/sec Train-Accuracy=0.577143
2016-09-23 10:27:46,246 Epoch[1] Batch [16950] Speed: 9.50 samples/sec Train-Accuracy=0.581429
2016-09-23 10:28:22,582 Epoch[1] Batch [17000] Speed: 11.01 samples/sec Train-Accuracy=0.597143
2016-09-23 10:29:00,445 Epoch[1] Batch [17050] Speed: 10.56 samples/sec Train-Accuracy=0.635714
2016-09-23 10:29:42,235 Epoch[1] Batch [17100] Speed: 9.57 samples/sec Train-Accuracy=0.615714
2016-09-23 10:30:19,178 Epoch[1] Batch [17150] Speed: 10.83 samples/sec Train-Accuracy=0.564286
2016-09-23 10:30:55,237 Epoch[1] Batch [17200] Speed: 11.09 samples/sec Train-Accuracy=0.592857
2016-09-23 10:31:31,383 Epoch[1] Batch [17250] Speed: 11.07 samples/sec Train-Accuracy=0.621429
2016-09-23 10:32:07,537 Epoch[1] Batch [17300] Speed: 11.06 samples/sec Train-Accuracy=0.552857
2016-09-23 10:32:43,717 Epoch[1] Batch [17350] Speed: 11.06 samples/sec Train-Accuracy=0.588571
2016-09-23 10:33:19,808 Epoch[1] Batch [17400] Speed: 11.08 samples/sec Train-Accuracy=0.604286
2016-09-23 10:33:56,013 Epoch[1] Batch [17450] Speed: 11.05 samples/sec Train-Accuracy=0.614286
2016-09-23 10:34:32,098 Epoch[1] Batch [17500] Speed: 11.08 samples/sec Train-Accuracy=0.595714
2016-09-23 10:35:08,172 Epoch[1] Batch [17550] Speed: 11.09 samples/sec Train-Accuracy=0.604286
2016-09-23 10:35:46,396 Epoch[1] Batch [17600] Speed: 10.46 samples/sec Train-Accuracy=0.558571
2016-09-23 10:36:22,652 Epoch[1] Batch [17650] Speed: 11.03 samples/sec Train-Accuracy=0.614286
2016-09-23 10:36:58,812 Epoch[1] Batch [17700] Speed: 11.06 samples/sec Train-Accuracy=0.617143
2016-09-23 10:37:34,898 Epoch[1] Batch [17750] Speed: 11.08 samples/sec Train-Accuracy=0.602857
2016-09-23 10:38:11,078 Epoch[1] Batch [17800] Speed: 11.06 samples/sec Train-Accuracy=0.584286
2016-09-23 10:38:47,369 Epoch[1] Batch [17850] Speed: 11.02 samples/sec Train-Accuracy=0.592857
2016-09-23 10:39:24,270 Epoch[1] Batch [17900] Speed: 10.84 samples/sec Train-Accuracy=0.544286
2016-09-23 10:40:01,032 Epoch[1] Batch [17950] Speed: 10.88 samples/sec Train-Accuracy=0.597143
2016-09-23 10:40:37,619 Epoch[1] Batch [18000] Speed: 10.93 samples/sec Train-Accuracy=0.597143
2016-09-23 10:41:14,904 Epoch[1] Batch [18050] Speed: 10.73 samples/sec Train-Accuracy=0.581429
2016-09-23 10:41:52,447 Epoch[1] Batch [18100] Speed: 10.65 samples/sec Train-Accuracy=0.592857
2016-09-23 10:42:29,964 Epoch[1] Batch [18150] Speed: 10.66 samples/sec Train-Accuracy=0.578571
2016-09-23 10:43:07,255 Epoch[1] Batch [18200] Speed: 10.73 samples/sec Train-Accuracy=0.571429
2016-09-23 10:43:44,128 Epoch[1] Batch [18250] Speed: 10.85 samples/sec Train-Accuracy=0.577143
2016-09-23 10:44:21,349 Epoch[1] Batch [18300] Speed: 10.75 samples/sec Train-Accuracy=0.564286
2016-09-23 10:44:59,159 Epoch[1] Batch [18350] Speed: 10.58 samples/sec Train-Accuracy=0.618571
2016-09-23 10:45:36,699 Epoch[1] Batch [18400] Speed: 10.66 samples/sec Train-Accuracy=0.614286
2016-09-23 10:46:14,152 Epoch[1] Batch [18450] Speed: 10.68 samples/sec Train-Accuracy=0.604286
2016-09-23 10:46:51,826 Epoch[1] Batch [18500] Speed: 10.62 samples/sec Train-Accuracy=0.565714
2016-09-23 10:47:30,867 Epoch[1] Batch [18550] Speed: 10.25 samples/sec Train-Accuracy=0.570000
2016-09-23 10:48:09,067 Epoch[1] Batch [18600] Speed: 10.47 samples/sec Train-Accuracy=0.584286
2016-09-23 10:48:46,598 Epoch[1] Batch [18650] Speed: 10.66 samples/sec Train-Accuracy=0.600000
2016-09-23 10:49:23,875 Epoch[1] Batch [18700] Speed: 10.73 samples/sec Train-Accuracy=0.618571
2016-09-23 10:50:01,688 Epoch[1] Batch [18750] Speed: 10.58 samples/sec Train-Accuracy=0.610000
2016-09-23 10:50:38,877 Epoch[1] Batch [18800] Speed: 10.76 samples/sec Train-Accuracy=0.601429
2016-09-23 10:51:16,188 Epoch[1] Batch [18850] Speed: 10.72 samples/sec Train-Accuracy=0.582857
2016-09-23 10:51:52,283 Epoch[1] Batch [18900] Speed: 11.08 samples/sec Train-Accuracy=0.577143
2016-09-23 10:52:28,374 Epoch[1] Batch [18950] Speed: 11.08 samples/sec Train-Accuracy=0.590000
2016-09-23 10:53:08,555 Epoch[1] Batch [19000] Speed: 9.96 samples/sec Train-Accuracy=0.585714
2016-09-23 10:53:45,939 Epoch[1] Batch [19050] Speed: 10.70 samples/sec Train-Accuracy=0.644286
2016-09-23 10:54:21,970 Epoch[1] Batch [19100] Speed: 11.10 samples/sec Train-Accuracy=0.584286
2016-09-23 10:54:58,017 Epoch[1] Batch [19150] Speed: 11.10 samples/sec Train-Accuracy=0.594286
2016-09-23 10:55:34,064 Epoch[1] Batch [19200] Speed: 11.10 samples/sec Train-Accuracy=0.585714
2016-09-23 10:56:10,137 Epoch[1] Batch [19250] Speed: 11.09 samples/sec Train-Accuracy=0.602857
2016-09-23 10:56:46,195 Epoch[1] Batch [19300] Speed: 11.09 samples/sec Train-Accuracy=0.615714
2016-09-23 10:57:22,333 Epoch[1] Batch [19350] Speed: 11.07 samples/sec Train-Accuracy=0.600000
2016-09-23 10:57:58,424 Epoch[1] Batch [19400] Speed: 11.08 samples/sec Train-Accuracy=0.571429
2016-09-23 10:58:34,572 Epoch[1] Batch [19450] Speed: 11.07 samples/sec Train-Accuracy=0.582857
2016-09-23 10:59:10,705 Epoch[1] Batch [19500] Speed: 11.07 samples/sec Train-Accuracy=0.631429
2016-09-23 10:59:47,338 Epoch[1] Batch [19550] Speed: 10.92 samples/sec Train-Accuracy=0.594286
2016-09-23 11:00:29,373 Epoch[1] Batch [19600] Speed: 9.52 samples/sec Train-Accuracy=0.602857
2016-09-23 11:01:05,602 Epoch[1] Batch [19650] Speed: 11.04 samples/sec Train-Accuracy=0.612857
2016-09-23 11:01:41,785 Epoch[1] Batch [19700] Speed: 11.05 samples/sec Train-Accuracy=0.602857
2016-09-23 11:02:17,937 Epoch[1] Batch [19750] Speed: 11.06 samples/sec Train-Accuracy=0.637143
2016-09-23 11:02:54,100 Epoch[1] Batch [19800] Speed: 11.06 samples/sec Train-Accuracy=0.594286
2016-09-23 11:03:30,201 Epoch[1] Batch [19850] Speed: 11.08 samples/sec Train-Accuracy=0.590000
2016-09-23 11:04:06,243 Epoch[1] Batch [19900] Speed: 11.10 samples/sec Train-Accuracy=0.630000
2016-09-23 11:04:42,394 Epoch[1] Batch [19950] Speed: 11.06 samples/sec Train-Accuracy=0.618571
2016-09-23 11:05:18,556 Epoch[1] Batch [20000] Speed: 11.06 samples/sec Train-Accuracy=0.578571
2016-09-23 11:05:54,695 Epoch[1] Batch [20050] Speed: 11.07 samples/sec Train-Accuracy=0.614286
2016-09-23 11:06:30,785 Epoch[1] Batch [20100] Speed: 11.08 samples/sec Train-Accuracy=0.591429
2016-09-23 11:07:06,951 Epoch[1] Batch [20150] Speed: 11.06 samples/sec Train-Accuracy=0.597143
2016-09-23 11:07:44,228 Epoch[1] Batch [20200] Speed: 10.73 samples/sec Train-Accuracy=0.587143
2016-09-23 11:08:24,317 Epoch[1] Batch [20250] Speed: 9.98 samples/sec Train-Accuracy=0.592857
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2016-09-23 11:09:42,133 Epoch[1] Batch [20350] Speed: 10.19 samples/sec Train-Accuracy=0.604286
2016-09-23 11:10:20,940 Epoch[1] Batch [20400] Speed: 10.31 samples/sec Train-Accuracy=0.597143
2016-09-23 11:10:57,091 Epoch[1] Batch [20450] Speed: 11.06 samples/sec Train-Accuracy=0.627143
2016-09-23 11:11:33,315 Epoch[1] Batch [20500] Speed: 11.04 samples/sec Train-Accuracy=0.607143
2016-09-23 11:12:09,524 Epoch[1] Batch [20550] Speed: 11.05 samples/sec Train-Accuracy=0.588571
2016-09-23 11:12:45,764 Epoch[1] Batch [20600] Speed: 11.04 samples/sec Train-Accuracy=0.604286
2016-09-23 11:13:21,969 Epoch[1] Batch [20650] Speed: 11.05 samples/sec Train-Accuracy=0.580000
2016-09-23 11:14:01,586 Epoch[1] Batch [20700] Speed: 10.10 samples/sec Train-Accuracy=0.604286
2016-09-23 11:14:43,080 Epoch[1] Batch [20750] Speed: 9.64 samples/sec Train-Accuracy=0.587143
2016-09-23 11:15:24,826 Epoch[1] Batch [20800] Speed: 9.58 samples/sec Train-Accuracy=0.622857
2016-09-23 11:16:04,629 Epoch[1] Batch [20850] Speed: 10.05 samples/sec Train-Accuracy=0.642857
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2016-09-23 11:17:19,877 Epoch[1] Batch [20950] Speed: 10.66 samples/sec Train-Accuracy=0.615714
2016-09-23 11:17:57,265 Epoch[1] Batch [21000] Speed: 10.70 samples/sec Train-Accuracy=0.590000
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2016-09-23 11:19:14,800 Epoch[1] Batch [21100] Speed: 11.07 samples/sec Train-Accuracy=0.578571
2016-09-23 11:19:51,007 Epoch[1] Batch [21150] Speed: 11.05 samples/sec Train-Accuracy=0.627143
2016-09-23 11:20:27,101 Epoch[1] Batch [21200] Speed: 11.08 samples/sec Train-Accuracy=0.611429
2016-09-23 11:21:03,177 Epoch[1] Batch [21250] Speed: 11.09 samples/sec Train-Accuracy=0.637143
2016-09-23 11:21:39,441 Epoch[1] Batch [21300] Speed: 11.03 samples/sec Train-Accuracy=0.595714
2016-09-23 11:22:15,647 Epoch[1] Batch [21350] Speed: 11.05 samples/sec Train-Accuracy=0.598571
2016-09-23 11:22:52,051 Epoch[1] Batch [21400] Speed: 10.99 samples/sec Train-Accuracy=0.631429
2016-09-23 11:23:28,326 Epoch[1] Batch [21450] Speed: 11.03 samples/sec Train-Accuracy=0.607143
2016-09-23 11:24:04,510 Epoch[1] Batch [21500] Speed: 11.05 samples/sec Train-Accuracy=0.564286
2016-09-23 11:24:40,688 Epoch[1] Batch [21550] Speed: 11.06 samples/sec Train-Accuracy=0.591429
2016-09-23 11:25:17,007 Epoch[1] Batch [21600] Speed: 11.01 samples/sec Train-Accuracy=0.598571
2016-09-23 11:25:53,381 Epoch[1] Batch [21650] Speed: 11.00 samples/sec Train-Accuracy=0.567143
2016-09-23 11:26:29,673 Epoch[1] Batch [21700] Speed: 11.02 samples/sec Train-Accuracy=0.600000
2016-09-23 11:27:05,824 Epoch[1] Batch [21750] Speed: 11.06 samples/sec Train-Accuracy=0.575714
2016-09-23 11:27:41,913 Epoch[1] Batch [21800] Speed: 11.08 samples/sec Train-Accuracy=0.588571
2016-09-23 11:28:18,125 Epoch[1] Batch [21850] Speed: 11.05 samples/sec Train-Accuracy=0.591429
2016-09-23 11:28:54,275 Epoch[1] Batch [21900] Speed: 11.07 samples/sec Train-Accuracy=0.604286
2016-09-23 11:29:30,399 Epoch[1] Batch [21950] Speed: 11.07 samples/sec Train-Accuracy=0.598571
2016-09-23 11:30:06,600 Epoch[1] Batch [22000] Speed: 11.05 samples/sec Train-Accuracy=0.617143
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2016-09-23 11:31:20,521 Epoch[1] Batch [22100] Speed: 10.86 samples/sec Train-Accuracy=0.602857
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2016-09-23 11:32:35,552 Epoch[1] Batch [22200] Speed: 11.05 samples/sec Train-Accuracy=0.601429
2016-09-23 11:33:11,889 Epoch[1] Batch [22250] Speed: 11.01 samples/sec Train-Accuracy=0.578571
2016-09-23 11:33:49,427 Epoch[1] Batch [22300] Speed: 10.66 samples/sec Train-Accuracy=0.605714
2016-09-23 11:34:29,359 Epoch[1] Batch [22350] Speed: 10.02 samples/sec Train-Accuracy=0.607143
2016-09-23 11:35:05,843 Epoch[1] Batch [22400] Speed: 10.96 samples/sec Train-Accuracy=0.581429
2016-09-23 11:35:42,231 Epoch[1] Batch [22450] Speed: 10.99 samples/sec Train-Accuracy=0.580000
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2016-09-23 11:36:54,848 Epoch[1] Batch [22550] Speed: 11.05 samples/sec Train-Accuracy=0.612857
2016-09-23 11:37:31,324 Epoch[1] Batch [22600] Speed: 10.97 samples/sec Train-Accuracy=0.630000
2016-09-23 11:38:07,532 Epoch[1] Batch [22650] Speed: 11.05 samples/sec Train-Accuracy=0.617143
2016-09-23 11:38:44,061 Epoch[1] Batch [22700] Speed: 10.95 samples/sec Train-Accuracy=0.628571
2016-09-23 11:39:20,653 Epoch[1] Batch [22750] Speed: 10.93 samples/sec Train-Accuracy=0.600000
2016-09-23 11:40:00,217 Epoch[1] Batch [22800] Speed: 10.11 samples/sec Train-Accuracy=0.635714
2016-09-23 11:40:38,520 Epoch[1] Batch [22850] Speed: 10.44 samples/sec Train-Accuracy=0.595714
2016-09-23 11:41:14,802 Epoch[1] Batch [22900] Speed: 11.02 samples/sec Train-Accuracy=0.581429
2016-09-23 11:41:51,085 Epoch[1] Batch [22950] Speed: 11.02 samples/sec Train-Accuracy=0.580000
2016-09-23 11:42:27,454 Epoch[1] Batch [23000] Speed: 11.00 samples/sec Train-Accuracy=0.618571
2016-09-23 11:43:03,913 Epoch[1] Batch [23050] Speed: 10.97 samples/sec Train-Accuracy=0.580000
2016-09-23 11:43:40,280 Epoch[1] Batch [23100] Speed: 11.00 samples/sec Train-Accuracy=0.612857
2016-09-23 11:44:16,616 Epoch[1] Batch [23150] Speed: 11.01 samples/sec Train-Accuracy=0.617143
2016-09-23 11:44:53,202 Epoch[1] Batch [23200] Speed: 10.93 samples/sec Train-Accuracy=0.602857
2016-09-23 11:45:29,646 Epoch[1] Batch [23250] Speed: 10.98 samples/sec Train-Accuracy=0.640000
2016-09-23 11:46:05,943 Epoch[1] Batch [23300] Speed: 11.02 samples/sec Train-Accuracy=0.598571
2016-09-23 11:46:42,292 Epoch[1] Batch [23350] Speed: 11.00 samples/sec Train-Accuracy=0.607143
2016-09-23 11:47:18,621 Epoch[1] Batch [23400] Speed: 11.01 samples/sec Train-Accuracy=0.604286
2016-09-23 11:47:55,077 Epoch[1] Batch [23450] Speed: 10.97 samples/sec Train-Accuracy=0.635714
2016-09-23 11:48:31,534 Epoch[1] Batch [23500] Speed: 10.97 samples/sec Train-Accuracy=0.630000
2016-09-23 11:49:07,888 Epoch[1] Batch [23550] Speed: 11.00 samples/sec Train-Accuracy=0.614286
2016-09-23 11:49:44,285 Epoch[1] Batch [23600] Speed: 10.99 samples/sec Train-Accuracy=0.597143
2016-09-23 11:50:20,643 Epoch[1] Batch [23650] Speed: 11.00 samples/sec Train-Accuracy=0.598571
2016-09-23 11:50:56,994 Epoch[1] Batch [23700] Speed: 11.00 samples/sec Train-Accuracy=0.600000
2016-09-23 11:51:34,205 Epoch[1] Batch [23750] Speed: 10.75 samples/sec Train-Accuracy=0.644286
2016-09-23 11:52:16,330 Epoch[1] Batch [23800] Speed: 9.50 samples/sec Train-Accuracy=0.600000
2016-09-23 11:52:53,610 Epoch[1] Batch [23850] Speed: 10.73 samples/sec Train-Accuracy=0.587143
2016-09-23 11:53:29,941 Epoch[1] Batch [23900] Speed: 11.01 samples/sec Train-Accuracy=0.598571
2016-09-23 11:54:06,235 Epoch[1] Batch [23950] Speed: 11.02 samples/sec Train-Accuracy=0.601429
2016-09-23 11:54:43,392 Epoch[1] Batch [24000] Speed: 10.77 samples/sec Train-Accuracy=0.632857
2016-09-23 11:55:19,637 Epoch[1] Batch [24050] Speed: 11.04 samples/sec Train-Accuracy=0.531429
2016-09-23 11:55:55,955 Epoch[1] Batch [24100] Speed: 11.01 samples/sec Train-Accuracy=0.608571
2016-09-23 11:56:32,215 Epoch[1] Batch [24150] Speed: 11.03 samples/sec Train-Accuracy=0.580000
2016-09-23 11:57:08,539 Epoch[1] Batch [24200] Speed: 11.01 samples/sec Train-Accuracy=0.615714
2016-09-23 11:57:44,827 Epoch[1] Batch [24250] Speed: 11.02 samples/sec Train-Accuracy=0.602857
2016-09-23 11:58:21,151 Epoch[1] Batch [24300] Speed: 11.01 samples/sec Train-Accuracy=0.621429
2016-09-23 11:58:57,598 Epoch[1] Batch [24350] Speed: 10.97 samples/sec Train-Accuracy=0.598571
2016-09-23 11:59:34,542 Epoch[1] Batch [24400] Speed: 10.83 samples/sec Train-Accuracy=0.570000
2016-09-23 12:00:11,315 Epoch[1] Batch [24450] Speed: 10.88 samples/sec Train-Accuracy=0.625714
2016-09-23 12:00:47,656 Epoch[1] Batch [24500] Speed: 11.01 samples/sec Train-Accuracy=0.601429
2016-09-23 12:01:23,965 Epoch[1] Batch [24550] Speed: 11.02 samples/sec Train-Accuracy=0.571429
2016-09-23 12:02:00,387 Epoch[1] Batch [24600] Speed: 10.98 samples/sec Train-Accuracy=0.595714
2016-09-23 12:02:36,804 Epoch[1] Batch [24650] Speed: 10.98 samples/sec Train-Accuracy=0.622857
2016-09-23 12:03:13,090 Epoch[1] Batch [24700] Speed: 11.02 samples/sec Train-Accuracy=0.602857
2016-09-23 12:03:49,482 Epoch[1] Batch [24750] Speed: 10.99 samples/sec Train-Accuracy=0.615714
2016-09-23 12:04:25,961 Epoch[1] Batch [24800] Speed: 10.97 samples/sec Train-Accuracy=0.637143
2016-09-23 12:05:02,452 Epoch[1] Batch [24850] Speed: 10.96 samples/sec Train-Accuracy=0.605714
2016-09-23 12:05:38,900 Epoch[1] Batch [24900] Speed: 10.97 samples/sec Train-Accuracy=0.625714
2016-09-23 12:06:15,298 Epoch[1] Batch [24950] Speed: 10.99 samples/sec Train-Accuracy=0.611429
2016-09-23 12:06:51,728 Epoch[1] Batch [25000] Speed: 10.98 samples/sec Train-Accuracy=0.605714
2016-09-23 12:07:29,226 Epoch[1] Batch [25050] Speed: 10.67 samples/sec Train-Accuracy=0.594286
2016-09-23 12:08:06,063 Epoch[1] Batch [25100] Speed: 10.86 samples/sec Train-Accuracy=0.568571
2016-09-23 12:08:42,568 Epoch[1] Batch [25150] Speed: 10.96 samples/sec Train-Accuracy=0.627143
2016-09-23 12:09:18,906 Epoch[1] Batch [25200] Speed: 11.01 samples/sec Train-Accuracy=0.600000
2016-09-23 12:09:55,230 Epoch[1] Batch [25250] Speed: 11.01 samples/sec Train-Accuracy=0.610000
2016-09-23 12:10:32,471 Epoch[1] Batch [25300] Speed: 10.74 samples/sec Train-Accuracy=0.608571
2016-09-23 12:11:09,849 Epoch[1] Batch [25350] Speed: 10.70 samples/sec Train-Accuracy=0.587143
2016-09-23 12:11:46,887 Epoch[1] Batch [25400] Speed: 10.80 samples/sec Train-Accuracy=0.655714
2016-09-23 12:12:23,364 Epoch[1] Batch [25450] Speed: 10.97 samples/sec Train-Accuracy=0.577143
2016-09-23 12:12:59,698 Epoch[1] Batch [25500] Speed: 11.01 samples/sec Train-Accuracy=0.634286
2016-09-23 12:13:36,719 Epoch[1] Batch [25550] Speed: 10.80 samples/sec Train-Accuracy=0.621429
2016-09-23 12:14:14,369 Epoch[1] Batch [25600] Speed: 10.62 samples/sec Train-Accuracy=0.624286
2016-09-23 12:14:51,086 Epoch[1] Batch [25650] Speed: 10.89 samples/sec Train-Accuracy=0.605714
2016-09-23 12:15:27,569 Epoch[1] Batch [25700] Speed: 10.96 samples/sec Train-Accuracy=0.581429
2016-09-23 12:16:04,051 Epoch[1] Batch [25750] Speed: 10.96 samples/sec Train-Accuracy=0.612857
2016-09-23 12:16:41,112 Epoch[1] Batch [25800] Speed: 10.79 samples/sec Train-Accuracy=0.630000
2016-09-23 12:17:17,655 Epoch[1] Batch [25850] Speed: 10.95 samples/sec Train-Accuracy=0.618571
2016-09-23 12:17:53,971 Epoch[1] Batch [25900] Speed: 11.01 samples/sec Train-Accuracy=0.605714
2016-09-23 12:18:30,234 Epoch[1] Batch [25950] Speed: 11.03 samples/sec Train-Accuracy=0.614286
2016-09-23 12:19:06,696 Epoch[1] Batch [26000] Speed: 10.97 samples/sec Train-Accuracy=0.607143
2016-09-23 12:19:42,876 Epoch[1] Batch [26050] Speed: 11.06 samples/sec Train-Accuracy=0.631429
2016-09-23 12:20:19,257 Epoch[1] Batch [26100] Speed: 10.99 samples/sec Train-Accuracy=0.595714
2016-09-23 12:20:55,518 Epoch[1] Batch [26150] Speed: 11.03 samples/sec Train-Accuracy=0.638571
2016-09-23 12:21:31,637 Epoch[1] Batch [26200] Speed: 11.07 samples/sec Train-Accuracy=0.628571
2016-09-23 12:22:07,798 Epoch[1] Batch [26250] Speed: 11.06 samples/sec Train-Accuracy=0.607143
2016-09-23 12:22:44,749 Epoch[1] Batch [26300] Speed: 10.83 samples/sec Train-Accuracy=0.605714
2016-09-23 12:23:21,142 Epoch[1] Batch [26350] Speed: 10.99 samples/sec Train-Accuracy=0.608571
2016-09-23 12:23:58,496 Epoch[1] Batch [26400] Speed: 10.71 samples/sec Train-Accuracy=0.635714
2016-09-23 12:24:34,583 Epoch[1] Batch [26450] Speed: 11.08 samples/sec Train-Accuracy=0.622857
2016-09-23 12:25:10,654 Epoch[1] Batch [26500] Speed: 11.09 samples/sec Train-Accuracy=0.627143
2016-09-23 12:25:46,854 Epoch[1] Batch [26550] Speed: 11.05 samples/sec Train-Accuracy=0.625714
2016-09-23 12:26:22,986 Epoch[1] Batch [26600] Speed: 11.07 samples/sec Train-Accuracy=0.640000
2016-09-23 12:26:59,197 Epoch[1] Batch [26650] Speed: 11.05 samples/sec Train-Accuracy=0.645714
2016-09-23 12:27:35,438 Epoch[1] Batch [26700] Speed: 11.04 samples/sec Train-Accuracy=0.621429
2016-09-23 12:28:12,528 Epoch[1] Batch [26750] Speed: 10.78 samples/sec Train-Accuracy=0.585714
2016-09-23 12:28:50,282 Epoch[1] Batch [26800] Speed: 10.60 samples/sec Train-Accuracy=0.625714
2016-09-23 12:29:27,904 Epoch[1] Batch [26850] Speed: 10.63 samples/sec Train-Accuracy=0.644286
2016-09-23 12:30:05,444 Epoch[1] Batch [26900] Speed: 10.66 samples/sec Train-Accuracy=0.580000
2016-09-23 12:30:44,673 Epoch[1] Batch [26950] Speed: 10.20 samples/sec Train-Accuracy=0.610000
2016-09-23 12:31:24,212 Epoch[1] Batch [27000] Speed: 10.12 samples/sec Train-Accuracy=0.632857
2016-09-23 12:32:00,382 Epoch[1] Batch [27050] Speed: 11.06 samples/sec Train-Accuracy=0.605714
2016-09-23 12:32:36,493 Epoch[1] Batch [27100] Speed: 11.08 samples/sec Train-Accuracy=0.601429
2016-09-23 12:33:12,666 Epoch[1] Batch [27150] Speed: 11.06 samples/sec Train-Accuracy=0.607143
2016-09-23 12:33:48,875 Epoch[1] Batch [27200] Speed: 11.05 samples/sec Train-Accuracy=0.592857
2016-09-23 12:34:25,207 Epoch[1] Batch [27250] Speed: 11.01 samples/sec Train-Accuracy=0.604286
2016-09-23 12:35:01,500 Epoch[1] Batch [27300] Speed: 11.02 samples/sec Train-Accuracy=0.604286
2016-09-23 12:35:37,967 Epoch[1] Batch [27350] Speed: 10.97 samples/sec Train-Accuracy=0.592857
2016-09-23 12:36:14,469 Epoch[1] Batch [27400] Speed: 10.96 samples/sec Train-Accuracy=0.614286
2016-09-23 12:36:56,593 Epoch[1] Batch [27450] Speed: 9.50 samples/sec Train-Accuracy=0.612857
2016-09-23 12:37:32,979 Epoch[1] Batch [27500] Speed: 10.99 samples/sec Train-Accuracy=0.607143
2016-09-23 12:38:09,098 Epoch[1] Batch [27550] Speed: 11.07 samples/sec Train-Accuracy=0.594286
2016-09-23 12:38:45,155 Epoch[1] Batch [27600] Speed: 11.09 samples/sec Train-Accuracy=0.631429
2016-09-23 12:39:21,078 Epoch[1] Batch [27650] Speed: 11.13 samples/sec Train-Accuracy=0.604286
2016-09-23 12:39:57,101 Epoch[1] Batch [27700] Speed: 11.10 samples/sec Train-Accuracy=0.620000
2016-09-23 12:40:33,223 Epoch[1] Batch [27750] Speed: 11.07 samples/sec Train-Accuracy=0.602857
2016-09-23 12:41:09,327 Epoch[1] Batch [27800] Speed: 11.08 samples/sec Train-Accuracy=0.628571
2016-09-23 12:41:45,334 Epoch[1] Batch [27850] Speed: 11.11 samples/sec Train-Accuracy=0.605714
2016-09-23 12:42:22,638 Epoch[1] Batch [27900] Speed: 10.72 samples/sec Train-Accuracy=0.587143
2016-09-23 12:43:00,282 Epoch[1] Batch [27950] Speed: 10.63 samples/sec Train-Accuracy=0.590000
2016-09-23 12:43:39,466 Epoch[1] Batch [28000] Speed: 10.21 samples/sec Train-Accuracy=0.592857
2016-09-23 12:44:16,289 Epoch[1] Batch [28050] Speed: 10.86 samples/sec Train-Accuracy=0.624286
2016-09-23 12:44:52,402 Epoch[1] Batch [28100] Speed: 11.08 samples/sec Train-Accuracy=0.601429
2016-09-23 12:45:28,532 Epoch[1] Batch [28150] Speed: 11.07 samples/sec Train-Accuracy=0.604286
2016-09-23 12:46:04,744 Epoch[1] Batch [28200] Speed: 11.05 samples/sec Train-Accuracy=0.614286
2016-09-23 12:46:41,011 Epoch[1] Batch [28250] Speed: 11.03 samples/sec Train-Accuracy=0.631429
2016-09-23 12:47:18,665 Epoch[1] Batch [28300] Speed: 10.62 samples/sec Train-Accuracy=0.608571
2016-09-23 12:47:56,481 Epoch[1] Batch [28350] Speed: 10.58 samples/sec Train-Accuracy=0.615714
2016-09-23 12:48:34,283 Epoch[1] Batch [28400] Speed: 10.58 samples/sec Train-Accuracy=0.602857
2016-09-23 12:49:11,618 Epoch[1] Batch [28450] Speed: 10.71 samples/sec Train-Accuracy=0.578571
2016-09-23 12:49:48,188 Epoch[1] Batch [28500] Speed: 10.94 samples/sec Train-Accuracy=0.644286
2016-09-23 12:50:24,545 Epoch[1] Batch [28550] Speed: 11.00 samples/sec Train-Accuracy=0.600000
2016-09-23 12:51:00,617 Epoch[1] Batch [28600] Speed: 11.09 samples/sec Train-Accuracy=0.632857
2016-09-23 12:51:36,727 Epoch[1] Batch [28650] Speed: 11.08 samples/sec Train-Accuracy=0.635714
2016-09-23 12:52:12,831 Epoch[1] Batch [28700] Speed: 11.08 samples/sec Train-Accuracy=0.644286
2016-09-23 12:52:48,904 Epoch[1] Batch [28750] Speed: 11.09 samples/sec Train-Accuracy=0.604286
2016-09-23 12:53:25,018 Epoch[1] Batch [28800] Speed: 11.08 samples/sec Train-Accuracy=0.605714
2016-09-23 12:54:01,167 Epoch[1] Batch [28850] Speed: 11.07 samples/sec Train-Accuracy=0.621429
2016-09-23 12:54:37,304 Epoch[1] Batch [28900] Speed: 11.07 samples/sec Train-Accuracy=0.600000
2016-09-23 12:55:13,450 Epoch[1] Batch [28950] Speed: 11.07 samples/sec Train-Accuracy=0.620000
2016-09-23 12:55:49,509 Epoch[1] Batch [29000] Speed: 11.09 samples/sec Train-Accuracy=0.635714
2016-09-23 12:56:25,610 Epoch[1] Batch [29050] Speed: 11.08 samples/sec Train-Accuracy=0.594286
2016-09-23 12:57:01,778 Epoch[1] Batch [29100] Speed: 11.06 samples/sec Train-Accuracy=0.598571
2016-09-23 12:57:37,997 Epoch[1] Batch [29150] Speed: 11.04 samples/sec Train-Accuracy=0.614286
2016-09-23 12:58:14,184 Epoch[1] Batch [29200] Speed: 11.05 samples/sec Train-Accuracy=0.590000
2016-09-23 12:58:50,820 Epoch[1] Batch [29250] Speed: 10.92 samples/sec Train-Accuracy=0.618571
2016-09-23 12:59:27,279 Epoch[1] Batch [29300] Speed: 10.97 samples/sec Train-Accuracy=0.584286
2016-09-23 13:00:03,490 Epoch[1] Batch [29350] Speed: 11.05 samples/sec Train-Accuracy=0.628571
2016-09-23 13:00:39,760 Epoch[1] Batch [29400] Speed: 11.03 samples/sec Train-Accuracy=0.658571
2016-09-23 13:01:16,595 Epoch[1] Batch [29450] Speed: 10.86 samples/sec Train-Accuracy=0.637143
2016-09-23 13:01:53,072 Epoch[1] Batch [29500] Speed: 10.97 samples/sec Train-Accuracy=0.632857
2016-09-23 13:02:30,290 Epoch[1] Batch [29550] Speed: 10.75 samples/sec Train-Accuracy=0.634286
2016-09-23 13:03:06,606 Epoch[1] Batch [29600] Speed: 11.01 samples/sec Train-Accuracy=0.591429
2016-09-23 13:03:43,168 Epoch[1] Batch [29650] Speed: 10.94 samples/sec Train-Accuracy=0.634286
2016-09-23 13:04:19,388 Epoch[1] Batch [29700] Speed: 11.04 samples/sec Train-Accuracy=0.587143
2016-09-23 13:04:55,398 Epoch[1] Batch [29750] Speed: 11.11 samples/sec Train-Accuracy=0.634286
2016-09-23 13:05:31,355 Epoch[1] Batch [29800] Speed: 11.12 samples/sec Train-Accuracy=0.614286
2016-09-23 13:06:07,383 Epoch[1] Batch [29850] Speed: 11.10 samples/sec Train-Accuracy=0.618571
2016-09-23 13:06:45,013 Epoch[1] Batch [29900] Speed: 10.63 samples/sec Train-Accuracy=0.632857
2016-09-23 13:07:21,975 Epoch[1] Batch [29950] Speed: 10.82 samples/sec Train-Accuracy=0.617143
2016-09-23 13:07:58,720 Epoch[1] Batch [30000] Speed: 10.89 samples/sec Train-Accuracy=0.654286
2016-09-23 13:08:36,041 Epoch[1] Batch [30050] Speed: 10.72 samples/sec Train-Accuracy=0.618571
2016-09-23 13:09:13,175 Epoch[1] Batch [30100] Speed: 10.77 samples/sec Train-Accuracy=0.612857
2016-09-23 13:09:50,471 Epoch[1] Batch [30150] Speed: 10.73 samples/sec Train-Accuracy=0.637143
2016-09-23 13:10:27,593 Epoch[1] Batch [30200] Speed: 10.78 samples/sec Train-Accuracy=0.601429
2016-09-23 13:11:05,434 Epoch[1] Batch [30250] Speed: 10.57 samples/sec Train-Accuracy=0.617143
2016-09-23 13:11:43,777 Epoch[1] Batch [30300] Speed: 10.43 samples/sec Train-Accuracy=0.658571
2016-09-23 13:12:22,770 Epoch[1] Batch [30350] Speed: 10.26 samples/sec Train-Accuracy=0.618571
2016-09-23 13:12:59,915 Epoch[1] Batch [30400] Speed: 10.77 samples/sec Train-Accuracy=0.604286
2016-09-23 13:13:37,073 Epoch[1] Batch [30450] Speed: 10.76 samples/sec Train-Accuracy=0.618571
2016-09-23 13:14:14,152 Epoch[1] Batch [30500] Speed: 10.79 samples/sec Train-Accuracy=0.615714
2016-09-23 13:14:51,334 Epoch[1] Batch [30550] Speed: 10.76 samples/sec Train-Accuracy=0.640000
2016-09-23 13:15:28,569 Epoch[1] Batch [30600] Speed: 10.74 samples/sec Train-Accuracy=0.592857
2016-09-23 13:16:05,674 Epoch[1] Batch [30650] Speed: 10.78 samples/sec Train-Accuracy=0.660000
2016-09-23 13:16:42,794 Epoch[1] Batch [30700] Speed: 10.78 samples/sec Train-Accuracy=0.641429
2016-09-23 13:17:21,546 Epoch[1] Batch [30750] Speed: 10.32 samples/sec Train-Accuracy=0.610000
2016-09-23 13:18:01,446 Epoch[1] Batch [30800] Speed: 10.03 samples/sec Train-Accuracy=0.614286
2016-09-23 13:18:40,547 Epoch[1] Batch [30850] Speed: 10.23 samples/sec Train-Accuracy=0.610000
2016-09-23 13:19:18,679 Epoch[1] Batch [30900] Speed: 10.49 samples/sec Train-Accuracy=0.601429
2016-09-23 13:19:55,818 Epoch[1] Batch [30950] Speed: 10.77 samples/sec Train-Accuracy=0.594286
2016-09-23 13:20:32,925 Epoch[1] Batch [31000] Speed: 10.78 samples/sec Train-Accuracy=0.604286
2016-09-23 13:21:10,187 Epoch[1] Batch [31050] Speed: 10.73 samples/sec Train-Accuracy=0.657143
2016-09-23 13:21:50,186 Epoch[1] Batch [31100] Speed: 10.00 samples/sec Train-Accuracy=0.578571
2016-09-23 13:22:27,434 Epoch[1] Batch [31150] Speed: 10.74 samples/sec Train-Accuracy=0.618571
2016-09-23 13:23:04,651 Epoch[1] Batch [31200] Speed: 10.75 samples/sec Train-Accuracy=0.617143
2016-09-23 13:23:41,762 Epoch[1] Batch [31250] Speed: 10.78 samples/sec Train-Accuracy=0.607143
2016-09-23 13:24:19,008 Epoch[1] Batch [31300] Speed: 10.74 samples/sec Train-Accuracy=0.597143
2016-09-23 13:24:56,180 Epoch[1] Batch [31350] Speed: 10.76 samples/sec Train-Accuracy=0.641429
2016-09-23 13:25:33,260 Epoch[1] Batch [31400] Speed: 10.79 samples/sec Train-Accuracy=0.640000
2016-09-23 13:26:10,399 Epoch[1] Batch [31450] Speed: 10.77 samples/sec Train-Accuracy=0.610000
2016-09-23 13:26:47,553 Epoch[1] Batch [31500] Speed: 10.77 samples/sec Train-Accuracy=0.584286
2016-09-23 13:27:24,711 Epoch[1] Batch [31550] Speed: 10.76 samples/sec Train-Accuracy=0.625714
2016-09-23 13:28:01,807 Epoch[1] Batch [31600] Speed: 10.78 samples/sec Train-Accuracy=0.618571
2016-09-23 13:28:38,844 Epoch[1] Batch [31650] Speed: 10.80 samples/sec Train-Accuracy=0.600000
2016-09-23 13:29:17,529 Epoch[1] Batch [31700] Speed: 10.34 samples/sec Train-Accuracy=0.628571
2016-09-23 13:29:56,678 Epoch[1] Batch [31750] Speed: 10.22 samples/sec Train-Accuracy=0.601429
2016-09-23 13:30:35,914 Epoch[1] Batch [31800] Speed: 10.19 samples/sec Train-Accuracy=0.625714
2016-09-23 13:31:14,051 Epoch[1] Batch [31850] Speed: 10.49 samples/sec Train-Accuracy=0.624286
2016-09-23 13:31:51,176 Epoch[1] Batch [31900] Speed: 10.77 samples/sec Train-Accuracy=0.638571
2016-09-23 13:32:28,212 Epoch[1] Batch [31950] Speed: 10.80 samples/sec Train-Accuracy=0.612857
2016-09-23 13:33:05,280 Epoch[1] Batch [32000] Speed: 10.79 samples/sec Train-Accuracy=0.645714
2016-09-23 13:33:42,340 Epoch[1] Batch [32050] Speed: 10.79 samples/sec Train-Accuracy=0.607143
2016-09-23 13:34:19,616 Epoch[1] Batch [32100] Speed: 10.73 samples/sec Train-Accuracy=0.635714
2016-09-23 13:34:58,171 Epoch[1] Batch [32150] Speed: 10.37 samples/sec Train-Accuracy=0.607143
2016-09-23 13:35:36,801 Epoch[1] Batch [32200] Speed: 10.35 samples/sec Train-Accuracy=0.620000
2016-09-23 13:36:15,732 Epoch[1] Batch [32250] Speed: 10.27 samples/sec Train-Accuracy=0.645714
2016-09-23 13:36:53,529 Epoch[1] Batch [32300] Speed: 10.58 samples/sec Train-Accuracy=0.635714
2016-09-23 13:37:31,255 Epoch[1] Batch [32350] Speed: 10.60 samples/sec Train-Accuracy=0.661429
2016-09-23 13:38:09,003 Epoch[1] Batch [32400] Speed: 10.60 samples/sec Train-Accuracy=0.594286
2016-09-23 13:38:46,884 Epoch[1] Batch [32450] Speed: 10.56 samples/sec Train-Accuracy=0.611429
2016-09-23 13:39:24,765 Epoch[1] Batch [32500] Speed: 10.56 samples/sec Train-Accuracy=0.622857
2016-09-23 13:40:02,815 Epoch[1] Batch [32550] Speed: 10.51 samples/sec Train-Accuracy=0.612857
2016-09-23 13:40:39,948 Epoch[1] Batch [32600] Speed: 10.77 samples/sec Train-Accuracy=0.650000
2016-09-23 13:41:16,945 Epoch[1] Batch [32650] Speed: 10.81 samples/sec Train-Accuracy=0.617143
2016-09-23 13:41:54,017 Epoch[1] Batch [32700] Speed: 10.79 samples/sec Train-Accuracy=0.640000
2016-09-23 13:42:31,209 Epoch[1] Batch [32750] Speed: 10.75 samples/sec Train-Accuracy=0.621429
2016-09-23 13:43:08,346 Epoch[1] Batch [32800] Speed: 10.77 samples/sec Train-Accuracy=0.605714
2016-09-23 13:43:45,495 Epoch[1] Batch [32850] Speed: 10.77 samples/sec Train-Accuracy=0.654286
2016-09-23 13:44:22,690 Epoch[1] Batch [32900] Speed: 10.75 samples/sec Train-Accuracy=0.642857
2016-09-23 13:44:59,915 Epoch[1] Batch [32950] Speed: 10.75 samples/sec Train-Accuracy=0.631429
2016-09-23 13:45:37,052 Epoch[1] Batch [33000] Speed: 10.77 samples/sec Train-Accuracy=0.635714
2016-09-23 13:46:14,154 Epoch[1] Batch [33050] Speed: 10.78 samples/sec Train-Accuracy=0.637143
2016-09-23 13:46:51,338 Epoch[1] Batch [33100] Speed: 10.76 samples/sec Train-Accuracy=0.671429
2016-09-23 13:47:28,365 Epoch[1] Batch [33150] Speed: 10.80 samples/sec Train-Accuracy=0.624286
2016-09-23 13:48:05,508 Epoch[1] Batch [33200] Speed: 10.77 samples/sec Train-Accuracy=0.640000
2016-09-23 13:48:43,282 Epoch[1] Batch [33250] Speed: 10.59 samples/sec Train-Accuracy=0.607143
2016-09-23 13:49:21,555 Epoch[1] Batch [33300] Speed: 10.45 samples/sec Train-Accuracy=0.610000
2016-09-23 13:49:59,654 Epoch[1] Batch [33350] Speed: 10.50 samples/sec Train-Accuracy=0.632857
2016-09-23 13:50:38,345 Epoch[1] Batch [33400] Speed: 10.34 samples/sec Train-Accuracy=0.634286
2016-09-23 13:51:16,286 Epoch[1] Batch [33450] Speed: 10.54 samples/sec Train-Accuracy=0.624286
2016-09-23 13:51:54,208 Epoch[1] Batch [33500] Speed: 10.55 samples/sec Train-Accuracy=0.624286
2016-09-23 13:52:32,113 Epoch[1] Batch [33550] Speed: 10.55 samples/sec Train-Accuracy=0.587143
2016-09-23 13:53:10,064 Epoch[1] Batch [33600] Speed: 10.54 samples/sec Train-Accuracy=0.627143
2016-09-23 13:53:47,486 Epoch[1] Batch [33650] Speed: 10.69 samples/sec Train-Accuracy=0.638571
2016-09-23 13:54:24,916 Epoch[1] Batch [33700] Speed: 10.69 samples/sec Train-Accuracy=0.640000
2016-09-23 13:55:02,572 Epoch[1] Batch [33750] Speed: 10.62 samples/sec Train-Accuracy=0.640000
2016-09-23 13:55:39,829 Epoch[1] Batch [33800] Speed: 10.74 samples/sec Train-Accuracy=0.622857
2016-09-23 13:56:17,023 Epoch[1] Batch [33850] Speed: 10.75 samples/sec Train-Accuracy=0.634286
2016-09-23 13:56:54,145 Epoch[1] Batch [33900] Speed: 10.78 samples/sec Train-Accuracy=0.647143
2016-09-23 13:57:31,326 Epoch[1] Batch [33950] Speed: 10.76 samples/sec Train-Accuracy=0.620000
2016-09-23 13:58:08,486 Epoch[1] Batch [34000] Speed: 10.76 samples/sec Train-Accuracy=0.602857
2016-09-23 13:58:46,090 Epoch[1] Batch [34050] Speed: 10.64 samples/sec Train-Accuracy=0.642857
2016-09-23 13:59:23,970 Epoch[1] Batch [34100] Speed: 10.56 samples/sec Train-Accuracy=0.637143
2016-09-23 14:00:01,874 Epoch[1] Batch [34150] Speed: 10.55 samples/sec Train-Accuracy=0.627143
2016-09-23 14:00:39,818 Epoch[1] Batch [34200] Speed: 10.54 samples/sec Train-Accuracy=0.628571
2016-09-23 14:01:17,641 Epoch[1] Batch [34250] Speed: 10.58 samples/sec Train-Accuracy=0.658571
2016-09-23 14:01:56,133 Epoch[1] Batch [34300] Speed: 10.39 samples/sec Train-Accuracy=0.638571
2016-09-23 14:02:35,243 Epoch[1] Batch [34350] Speed: 10.23 samples/sec Train-Accuracy=0.617143
2016-09-23 14:03:14,593 Epoch[1] Batch [34400] Speed: 10.17 samples/sec Train-Accuracy=0.645714
2016-09-23 14:03:52,596 Epoch[1] Batch [34450] Speed: 10.53 samples/sec Train-Accuracy=0.644286
2016-09-23 14:04:30,629 Epoch[1] Batch [34500] Speed: 10.52 samples/sec Train-Accuracy=0.618571
2016-09-23 14:05:08,740 Epoch[1] Batch [34550] Speed: 10.50 samples/sec Train-Accuracy=0.611429
2016-09-23 14:05:47,034 Epoch[1] Batch [34600] Speed: 10.45 samples/sec Train-Accuracy=0.597143
2016-09-23 14:06:25,327 Epoch[1] Batch [34650] Speed: 10.45 samples/sec Train-Accuracy=0.612857
2016-09-23 14:07:03,756 Epoch[1] Batch [34700] Speed: 10.41 samples/sec Train-Accuracy=0.660000
2016-09-23 14:07:42,145 Epoch[1] Batch [34750] Speed: 10.42 samples/sec Train-Accuracy=0.627143
2016-09-23 14:08:22,636 Epoch[1] Batch [34800] Speed: 9.88 samples/sec Train-Accuracy=0.617143
2016-09-23 14:09:02,567 Epoch[1] Batch [34850] Speed: 10.02 samples/sec Train-Accuracy=0.645714
2016-09-23 14:09:41,655 Epoch[1] Batch [34900] Speed: 10.23 samples/sec Train-Accuracy=0.631429
2016-09-23 14:10:19,465 Epoch[1] Batch [34950] Speed: 10.58 samples/sec Train-Accuracy=0.612857
2016-09-23 14:10:57,101 Epoch[1] Batch [35000] Speed: 10.63 samples/sec Train-Accuracy=0.655714
2016-09-23 14:11:34,651 Epoch[1] Batch [35050] Speed: 10.65 samples/sec Train-Accuracy=0.612857
2016-09-23 14:12:12,216 Epoch[1] Batch [35100] Speed: 10.65 samples/sec Train-Accuracy=0.641429
2016-09-23 14:12:49,860 Epoch[1] Batch [35150] Speed: 10.63 samples/sec Train-Accuracy=0.604286
2016-09-23 14:13:27,512 Epoch[1] Batch [35200] Speed: 10.62 samples/sec Train-Accuracy=0.615714
2016-09-23 14:14:07,679 Epoch[1] Batch [35250] Speed: 9.96 samples/sec Train-Accuracy=0.655714
2016-09-23 14:14:47,807 Epoch[1] Batch [35300] Speed: 9.97 samples/sec Train-Accuracy=0.635714
2016-09-23 14:15:25,094 Epoch[1] Batch [35350] Speed: 10.73 samples/sec Train-Accuracy=0.615714
2016-09-23 14:16:01,905 Epoch[1] Batch [35400] Speed: 10.87 samples/sec Train-Accuracy=0.625714
2016-09-23 14:16:38,260 Epoch[1] Batch [35450] Speed: 11.00 samples/sec Train-Accuracy=0.611429
2016-09-23 14:17:14,594 Epoch[1] Batch [35500] Speed: 11.01 samples/sec Train-Accuracy=0.617143
2016-09-23 14:17:51,149 Epoch[1] Batch [35550] Speed: 10.94 samples/sec Train-Accuracy=0.588571
2016-09-23 14:18:28,161 Epoch[1] Batch [35600] Speed: 10.81 samples/sec Train-Accuracy=0.614286
2016-09-23 14:19:04,850 Epoch[1] Batch [35650] Speed: 10.90 samples/sec Train-Accuracy=0.640000
2016-09-23 14:19:41,305 Epoch[1] Batch [35700] Speed: 10.97 samples/sec Train-Accuracy=0.611429
2016-09-23 14:20:17,698 Epoch[1] Batch [35750] Speed: 10.99 samples/sec Train-Accuracy=0.611429
2016-09-23 14:20:54,526 Epoch[1] Batch [35800] Speed: 10.86 samples/sec Train-Accuracy=0.637143
2016-09-23 14:21:31,116 Epoch[1] Batch [35850] Speed: 10.93 samples/sec Train-Accuracy=0.648571
2016-09-23 14:22:08,013 Epoch[1] Batch [35900] Speed: 10.84 samples/sec Train-Accuracy=0.645714
2016-09-23 14:22:44,288 Epoch[1] Batch [35950] Speed: 11.03 samples/sec Train-Accuracy=0.598571
2016-09-23 14:23:20,488 Epoch[1] Batch [36000] Speed: 11.05 samples/sec Train-Accuracy=0.597143
2016-09-23 14:23:56,693 Epoch[1] Batch [36050] Speed: 11.05 samples/sec Train-Accuracy=0.625714
2016-09-23 14:24:32,937 Epoch[1] Batch [36100] Speed: 11.04 samples/sec Train-Accuracy=0.634286
2016-09-23 14:25:08,986 Epoch[1] Batch [36150] Speed: 11.10 samples/sec Train-Accuracy=0.625714
2016-09-23 14:25:45,157 Epoch[1] Batch [36200] Speed: 11.06 samples/sec Train-Accuracy=0.598571
2016-09-23 14:26:21,291 Epoch[1] Batch [36250] Speed: 11.07 samples/sec Train-Accuracy=0.630000
2016-09-23 14:26:57,506 Epoch[1] Batch [36300] Speed: 11.05 samples/sec Train-Accuracy=0.641429
2016-09-23 14:27:33,653 Epoch[1] Batch [36350] Speed: 11.07 samples/sec Train-Accuracy=0.658571
2016-09-23 14:28:09,823 Epoch[1] Batch [36400] Speed: 11.06 samples/sec Train-Accuracy=0.627143
2016-09-23 14:28:48,849 Epoch[1] Batch [36450] Speed: 10.25 samples/sec Train-Accuracy=0.651429
2016-09-23 14:29:27,662 Epoch[1] Batch [36500] Speed: 10.31 samples/sec Train-Accuracy=0.617143
2016-09-23 14:30:03,929 Epoch[1] Batch [36550] Speed: 11.03 samples/sec Train-Accuracy=0.657143
2016-09-23 14:30:40,329 Epoch[1] Batch [36600] Speed: 10.99 samples/sec Train-Accuracy=0.637143
2016-09-23 14:31:16,682 Epoch[1] Batch [36650] Speed: 11.00 samples/sec Train-Accuracy=0.602857
2016-09-23 14:31:52,786 Epoch[1] Batch [36700] Speed: 11.08 samples/sec Train-Accuracy=0.637143
2016-09-23 14:32:28,893 Epoch[1] Batch [36750] Speed: 11.08 samples/sec Train-Accuracy=0.632857
2016-09-23 14:33:05,318 Epoch[1] Batch [36800] Speed: 10.98 samples/sec Train-Accuracy=0.622857
2016-09-23 14:33:41,431 Epoch[1] Batch [36850] Speed: 11.08 samples/sec Train-Accuracy=0.661429
2016-09-23 14:34:20,364 Epoch[1] Batch [36900] Speed: 10.27 samples/sec Train-Accuracy=0.634286
2016-09-23 14:34:59,574 Epoch[1] Batch [36950] Speed: 10.20 samples/sec Train-Accuracy=0.661429
2016-09-23 14:35:35,575 Epoch[1] Batch [37000] Speed: 11.11 samples/sec Train-Accuracy=0.595714
2016-09-23 14:36:11,827 Epoch[1] Batch [37050] Speed: 11.03 samples/sec Train-Accuracy=0.635714
2016-09-23 14:36:48,847 Epoch[1] Batch [37100] Speed: 10.81 samples/sec Train-Accuracy=0.658571
2016-09-23 14:37:26,369 Epoch[1] Batch [37150] Speed: 10.66 samples/sec Train-Accuracy=0.641429
2016-09-23 14:38:04,205 Epoch[1] Batch [37200] Speed: 10.57 samples/sec Train-Accuracy=0.621429
2016-09-23 14:38:41,818 Epoch[1] Batch [37250] Speed: 10.63 samples/sec Train-Accuracy=0.631429
2016-09-23 14:39:19,424 Epoch[1] Batch [37300] Speed: 10.64 samples/sec Train-Accuracy=0.632857
2016-09-23 14:39:56,560 Epoch[1] Batch [37350] Speed: 10.77 samples/sec Train-Accuracy=0.645714
2016-09-23 14:40:33,178 Epoch[1] Batch [37400] Speed: 10.92 samples/sec Train-Accuracy=0.617143
2016-09-23 14:41:09,333 Epoch[1] Batch [37450] Speed: 11.06 samples/sec Train-Accuracy=0.621429
2016-09-23 14:41:45,543 Epoch[1] Batch [37500] Speed: 11.05 samples/sec Train-Accuracy=0.632857
2016-09-23 14:42:21,994 Epoch[1] Batch [37550] Speed: 10.97 samples/sec Train-Accuracy=0.640000
2016-09-23 14:42:59,059 Epoch[1] Batch [37600] Speed: 10.79 samples/sec Train-Accuracy=0.602857
2016-09-23 14:43:35,158 Epoch[1] Batch [37650] Speed: 11.08 samples/sec Train-Accuracy=0.650000
2016-09-23 14:44:11,447 Epoch[1] Batch [37700] Speed: 11.02 samples/sec Train-Accuracy=0.635714
2016-09-23 14:44:48,478 Epoch[1] Batch [37750] Speed: 10.80 samples/sec Train-Accuracy=0.641429
2016-09-23 14:45:25,477 Epoch[1] Batch [37800] Speed: 10.81 samples/sec Train-Accuracy=0.617143
2016-09-23 14:46:05,095 Epoch[1] Batch [37850] Speed: 10.10 samples/sec Train-Accuracy=0.628571
2016-09-23 14:46:43,209 Epoch[1] Batch [37900] Speed: 10.49 samples/sec Train-Accuracy=0.648571
2016-09-23 14:47:19,266 Epoch[1] Batch [37950] Speed: 11.09 samples/sec Train-Accuracy=0.622857
2016-09-23 14:47:55,299 Epoch[1] Batch [38000] Speed: 11.10 samples/sec Train-Accuracy=0.602857
2016-09-23 14:48:31,478 Epoch[1] Batch [38050] Speed: 11.06 samples/sec Train-Accuracy=0.621429
2016-09-23 14:49:08,321 Epoch[1] Batch [38100] Speed: 10.86 samples/sec Train-Accuracy=0.650000
2016-09-23 14:49:45,257 Epoch[1] Batch [38150] Speed: 10.83 samples/sec Train-Accuracy=0.648571
2016-09-23 14:50:21,663 Epoch[1] Batch [38200] Speed: 10.99 samples/sec Train-Accuracy=0.620000
2016-09-23 14:50:57,798 Epoch[1] Batch [38250] Speed: 11.07 samples/sec Train-Accuracy=0.640000
2016-09-23 14:51:34,046 Epoch[1] Batch [38300] Speed: 11.04 samples/sec Train-Accuracy=0.670000
2016-09-23 14:52:10,240 Epoch[1] Batch [38350] Speed: 11.05 samples/sec Train-Accuracy=0.610000
2016-09-23 14:52:46,432 Epoch[1] Batch [38400] Speed: 11.05 samples/sec Train-Accuracy=0.602857
2016-09-23 14:53:22,712 Epoch[1] Batch [38450] Speed: 11.03 samples/sec Train-Accuracy=0.614286
2016-09-23 14:53:58,792 Epoch[1] Batch [38500] Speed: 11.09 samples/sec Train-Accuracy=0.620000
2016-09-23 14:54:34,925 Epoch[1] Batch [38550] Speed: 11.07 samples/sec Train-Accuracy=0.620000
2016-09-23 14:55:11,008 Epoch[1] Batch [38600] Speed: 11.09 samples/sec Train-Accuracy=0.610000
2016-09-23 14:55:47,114 Epoch[1] Batch [38650] Speed: 11.08 samples/sec Train-Accuracy=0.612857
2016-09-23 14:56:23,229 Epoch[1] Batch [38700] Speed: 11.08 samples/sec Train-Accuracy=0.651429
2016-09-23 14:57:01,962 Epoch[1] Batch [38750] Speed: 10.33 samples/sec Train-Accuracy=0.625714
2016-09-23 14:57:41,841 Epoch[1] Batch [38800] Speed: 10.03 samples/sec Train-Accuracy=0.648571
2016-09-23 14:58:18,897 Epoch[1] Batch [38850] Speed: 10.79 samples/sec Train-Accuracy=0.651429
2016-09-23 14:58:55,074 Epoch[1] Batch [38900] Speed: 11.06 samples/sec Train-Accuracy=0.618571
2016-09-23 14:59:31,260 Epoch[1] Batch [38950] Speed: 11.05 samples/sec Train-Accuracy=0.635714
2016-09-23 15:00:07,369 Epoch[1] Batch [39000] Speed: 11.08 samples/sec Train-Accuracy=0.627143
2016-09-23 15:00:43,572 Epoch[1] Batch [39050] Speed: 11.05 samples/sec Train-Accuracy=0.664286
2016-09-23 15:01:23,560 Epoch[1] Batch [39100] Speed: 10.00 samples/sec Train-Accuracy=0.630000
2016-09-23 15:02:02,237 Epoch[1] Batch [39150] Speed: 10.34 samples/sec Train-Accuracy=0.610000
2016-09-23 15:02:38,302 Epoch[1] Batch [39200] Speed: 11.09 samples/sec Train-Accuracy=0.634286
2016-09-23 15:03:18,538 Epoch[1] Batch [39250] Speed: 9.94 samples/sec Train-Accuracy=0.634286
2016-09-23 15:03:57,148 Epoch[1] Batch [39300] Speed: 10.36 samples/sec Train-Accuracy=0.641429
2016-09-23 15:04:35,823 Epoch[1] Batch [39350] Speed: 10.34 samples/sec Train-Accuracy=0.671429
2016-09-23 15:05:12,812 Epoch[1] Batch [39400] Speed: 10.81 samples/sec Train-Accuracy=0.634286
2016-09-23 15:05:49,131 Epoch[1] Batch [39450] Speed: 11.01 samples/sec Train-Accuracy=0.648571
2016-09-23 15:06:25,309 Epoch[1] Batch [39500] Speed: 11.06 samples/sec Train-Accuracy=0.642857
2016-09-23 15:07:01,467 Epoch[1] Batch [39550] Speed: 11.06 samples/sec Train-Accuracy=0.622857
2016-09-23 15:07:37,584 Epoch[1] Batch [39600] Speed: 11.08 samples/sec Train-Accuracy=0.632857
2016-09-23 15:08:13,712 Epoch[1] Batch [39650] Speed: 11.07 samples/sec Train-Accuracy=0.634286
2016-09-23 15:08:50,026 Epoch[1] Batch [39700] Speed: 11.02 samples/sec Train-Accuracy=0.622857
2016-09-23 15:09:26,157 Epoch[1] Batch [39750] Speed: 11.07 samples/sec Train-Accuracy=0.612857
2016-09-23 15:10:02,268 Epoch[1] Batch [39800] Speed: 11.08 samples/sec Train-Accuracy=0.640000
2016-09-23 15:10:38,436 Epoch[1] Batch [39850] Speed: 11.06 samples/sec Train-Accuracy=0.577143
2016-09-23 15:11:14,698 Epoch[1] Batch [39900] Speed: 11.03 samples/sec Train-Accuracy=0.594286
2016-09-23 15:11:50,960 Epoch[1] Batch [39950] Speed: 11.03 samples/sec Train-Accuracy=0.641429
2016-09-23 15:12:27,394 Epoch[1] Batch [40000] Speed: 10.98 samples/sec Train-Accuracy=0.630000
2016-09-23 15:13:03,838 Epoch[1] Batch [40050] Speed: 10.98 samples/sec Train-Accuracy=0.670000
2016-09-23 15:13:40,098 Epoch[1] Batch [40100] Speed: 11.03 samples/sec Train-Accuracy=0.674286
2016-09-23 15:14:16,421 Epoch[1] Batch [40150] Speed: 11.01 samples/sec Train-Accuracy=0.667143
2016-09-23 15:14:52,692 Epoch[1] Batch [40200] Speed: 11.03 samples/sec Train-Accuracy=0.605714
2016-09-23 15:15:29,029 Epoch[1] Batch [40250] Speed: 11.01 samples/sec Train-Accuracy=0.632857
2016-09-23 15:16:05,453 Epoch[1] Batch [40300] Speed: 10.98 samples/sec Train-Accuracy=0.660000
2016-09-23 15:16:41,843 Epoch[1] Batch [40350] Speed: 10.99 samples/sec Train-Accuracy=0.690000
2016-09-23 15:17:18,199 Epoch[1] Batch [40400] Speed: 11.00 samples/sec Train-Accuracy=0.640000
2016-09-23 15:17:54,506 Epoch[1] Batch [40450] Speed: 11.02 samples/sec Train-Accuracy=0.627143
2016-09-23 15:18:30,680 Epoch[1] Batch [40500] Speed: 11.06 samples/sec Train-Accuracy=0.624286
2016-09-23 15:19:06,845 Epoch[1] Batch [40550] Speed: 11.06 samples/sec Train-Accuracy=0.654286
2016-09-23 15:19:43,109 Epoch[1] Batch [40600] Speed: 11.03 samples/sec Train-Accuracy=0.632857
2016-09-23 15:20:19,424 Epoch[1] Batch [40650] Speed: 11.01 samples/sec Train-Accuracy=0.632857
2016-09-23 15:20:55,923 Epoch[1] Batch [40700] Speed: 10.96 samples/sec Train-Accuracy=0.634286
2016-09-23 15:21:36,522 Epoch[1] Batch [40750] Speed: 9.85 samples/sec Train-Accuracy=0.645714
2016-09-23 15:22:19,634 Epoch[1] Batch [40800] Speed: 9.28 samples/sec Train-Accuracy=0.624286
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2016-09-23 15:23:36,373 Epoch[1] Batch [40900] Speed: 10.78 samples/sec Train-Accuracy=0.650000
2016-09-23 15:24:12,558 Epoch[1] Batch [40950] Speed: 11.05 samples/sec Train-Accuracy=0.647143
2016-09-23 15:24:48,832 Epoch[1] Batch [41000] Speed: 11.03 samples/sec Train-Accuracy=0.630000
2016-09-23 15:25:25,157 Epoch[1] Batch [41050] Speed: 11.01 samples/sec Train-Accuracy=0.612857
2016-09-23 15:26:01,462 Epoch[1] Batch [41100] Speed: 11.02 samples/sec Train-Accuracy=0.591429
2016-09-23 15:26:39,832 Epoch[1] Batch [41150] Speed: 10.43 samples/sec Train-Accuracy=0.655714
2016-09-23 15:27:22,952 Epoch[1] Batch [41200] Speed: 9.28 samples/sec Train-Accuracy=0.682857
2016-09-23 15:28:00,512 Epoch[1] Batch [41250] Speed: 10.65 samples/sec Train-Accuracy=0.602857
2016-09-23 15:28:41,740 Epoch[1] Batch [41300] Speed: 9.70 samples/sec Train-Accuracy=0.642857
2016-09-23 15:29:24,132 Epoch[1] Batch [41350] Speed: 9.44 samples/sec Train-Accuracy=0.638571
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2016-09-23 15:31:18,898 Epoch[1] Batch [41500] Speed: 11.06 samples/sec Train-Accuracy=0.634286
2016-09-23 15:31:55,108 Epoch[1] Batch [41550] Speed: 11.05 samples/sec Train-Accuracy=0.652857
2016-09-23 15:32:32,460 Epoch[1] Batch [41600] Speed: 10.71 samples/sec Train-Accuracy=0.641429
2016-09-23 15:33:09,588 Epoch[1] Batch [41650] Speed: 10.77 samples/sec Train-Accuracy=0.621429
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2016-09-23 15:34:24,426 Epoch[1] Batch [41750] Speed: 10.74 samples/sec Train-Accuracy=0.615714
2016-09-23 15:35:01,503 Epoch[1] Batch [41800] Speed: 10.79 samples/sec Train-Accuracy=0.614286
2016-09-23 15:35:38,442 Epoch[1] Batch [41850] Speed: 10.83 samples/sec Train-Accuracy=0.630000
2016-09-23 15:36:15,637 Epoch[1] Batch [41900] Speed: 10.75 samples/sec Train-Accuracy=0.615714
2016-09-23 15:36:53,360 Epoch[1] Batch [41950] Speed: 10.60 samples/sec Train-Accuracy=0.624286
2016-09-23 15:37:31,157 Epoch[1] Batch [42000] Speed: 10.58 samples/sec Train-Accuracy=0.625714
2016-09-23 15:38:08,947 Epoch[1] Batch [42050] Speed: 10.59 samples/sec Train-Accuracy=0.647143
2016-09-23 15:38:46,113 Epoch[1] Batch [42100] Speed: 10.76 samples/sec Train-Accuracy=0.635714
2016-09-23 15:39:22,276 Epoch[1] Batch [42150] Speed: 11.06 samples/sec Train-Accuracy=0.665714
2016-09-23 15:39:58,441 Epoch[1] Batch [42200] Speed: 11.06 samples/sec Train-Accuracy=0.635714
2016-09-23 15:40:34,723 Epoch[1] Batch [42250] Speed: 11.03 samples/sec Train-Accuracy=0.640000
2016-09-23 15:41:15,451 Epoch[1] Batch [42300] Speed: 9.82 samples/sec Train-Accuracy=0.642857
2016-09-23 15:41:57,381 Epoch[1] Batch [42350] Speed: 9.54 samples/sec Train-Accuracy=0.664286
2016-09-23 15:42:35,643 Epoch[1] Batch [42400] Speed: 10.45 samples/sec Train-Accuracy=0.658571
2016-09-23 15:43:12,307 Epoch[1] Batch [42450] Speed: 10.91 samples/sec Train-Accuracy=0.641429
2016-09-23 15:43:48,505 Epoch[1] Batch [42500] Speed: 11.05 samples/sec Train-Accuracy=0.644286
2016-09-23 15:44:24,743 Epoch[1] Batch [42550] Speed: 11.04 samples/sec Train-Accuracy=0.657143
2016-09-23 15:45:00,981 Epoch[1] Batch [42600] Speed: 11.04 samples/sec Train-Accuracy=0.645714
2016-09-23 15:45:37,223 Epoch[1] Batch [42650] Speed: 11.04 samples/sec Train-Accuracy=0.648571
2016-09-23 15:46:13,590 Epoch[1] Batch [42700] Speed: 11.00 samples/sec Train-Accuracy=0.647143
2016-09-23 15:46:49,826 Epoch[1] Batch [42750] Speed: 11.04 samples/sec Train-Accuracy=0.628571
2016-09-23 15:47:26,090 Epoch[1] Batch [42800] Speed: 11.03 samples/sec Train-Accuracy=0.660000
2016-09-23 15:48:05,899 Epoch[1] Batch [42850] Speed: 10.05 samples/sec Train-Accuracy=0.642857
2016-09-23 15:48:44,772 Epoch[1] Batch [42900] Speed: 10.29 samples/sec Train-Accuracy=0.631429
2016-09-23 15:49:21,845 Epoch[1] Batch [42950] Speed: 10.79 samples/sec Train-Accuracy=0.625714
2016-09-23 15:49:58,182 Epoch[1] Batch [43000] Speed: 11.01 samples/sec Train-Accuracy=0.638571
2016-09-23 15:50:34,529 Epoch[1] Batch [43050] Speed: 11.01 samples/sec Train-Accuracy=0.652857
2016-09-23 15:51:12,096 Epoch[1] Batch [43100] Speed: 10.65 samples/sec Train-Accuracy=0.627143
2016-09-23 15:51:49,299 Epoch[1] Batch [43150] Speed: 10.75 samples/sec Train-Accuracy=0.637143
2016-09-23 15:52:26,367 Epoch[1] Batch [43200] Speed: 10.79 samples/sec Train-Accuracy=0.597143
2016-09-23 15:53:03,299 Epoch[1] Batch [43250] Speed: 10.83 samples/sec Train-Accuracy=0.631429
2016-09-23 15:53:40,460 Epoch[1] Batch [43300] Speed: 10.76 samples/sec Train-Accuracy=0.632857
2016-09-23 15:54:17,400 Epoch[1] Batch [43350] Speed: 10.83 samples/sec Train-Accuracy=0.644286
2016-09-23 15:54:54,324 Epoch[1] Batch [43400] Speed: 10.83 samples/sec Train-Accuracy=0.624286
2016-09-23 15:55:31,245 Epoch[1] Batch [43450] Speed: 10.83 samples/sec Train-Accuracy=0.652857
2016-09-23 15:56:08,228 Epoch[1] Batch [43500] Speed: 10.82 samples/sec Train-Accuracy=0.667143
2016-09-23 15:56:45,210 Epoch[1] Batch [43550] Speed: 10.82 samples/sec Train-Accuracy=0.644286
2016-09-23 15:57:22,309 Epoch[1] Batch [43600] Speed: 10.78 samples/sec Train-Accuracy=0.625714
2016-09-23 15:57:59,912 Epoch[1] Batch [43650] Speed: 10.64 samples/sec Train-Accuracy=0.662857
2016-09-23 15:58:37,794 Epoch[1] Batch [43700] Speed: 10.56 samples/sec Train-Accuracy=0.647143
2016-09-23 15:59:15,697 Epoch[1] Batch [43750] Speed: 10.55 samples/sec Train-Accuracy=0.624286
2016-09-23 15:59:52,961 Epoch[1] Batch [43800] Speed: 10.73 samples/sec Train-Accuracy=0.622857
2016-09-23 16:00:29,398 Epoch[1] Batch [43850] Speed: 10.98 samples/sec Train-Accuracy=0.627143
2016-09-23 16:01:05,649 Epoch[1] Batch [43900] Speed: 11.03 samples/sec Train-Accuracy=0.641429
2016-09-23 16:01:41,928 Epoch[1] Batch [43950] Speed: 11.03 samples/sec Train-Accuracy=0.680000
2016-09-23 16:02:18,151 Epoch[1] Batch [44000] Speed: 11.04 samples/sec Train-Accuracy=0.617143
2016-09-23 16:02:54,365 Epoch[1] Batch [44050] Speed: 11.05 samples/sec Train-Accuracy=0.635714
2016-09-23 16:03:31,025 Epoch[1] Batch [44100] Speed: 10.91 samples/sec Train-Accuracy=0.657143
2016-09-23 16:04:08,190 Epoch[1] Batch [44150] Speed: 10.76 samples/sec Train-Accuracy=0.622857
2016-09-23 16:04:45,830 Epoch[1] Batch [44200] Speed: 10.63 samples/sec Train-Accuracy=0.634286
2016-09-23 16:05:23,638 Epoch[1] Batch [44250] Speed: 10.58 samples/sec Train-Accuracy=0.625714
2016-09-23 16:06:01,333 Epoch[1] Batch [44300] Speed: 10.61 samples/sec Train-Accuracy=0.654286
2016-09-23 16:06:39,330 Epoch[1] Batch [44350] Speed: 10.53 samples/sec Train-Accuracy=0.634286
2016-09-23 16:07:17,280 Epoch[1] Batch [44400] Speed: 10.54 samples/sec Train-Accuracy=0.651429
2016-09-23 16:07:54,172 Epoch[1] Batch [44450] Speed: 10.84 samples/sec Train-Accuracy=0.617143
2016-09-23 16:08:30,633 Epoch[1] Batch [44500] Speed: 10.97 samples/sec Train-Accuracy=0.615714
2016-09-23 16:09:07,060 Epoch[1] Batch [44550] Speed: 10.98 samples/sec Train-Accuracy=0.617143
2016-09-23 16:09:46,340 Epoch[1] Batch [44600] Speed: 10.18 samples/sec Train-Accuracy=0.632857
2016-09-23 16:10:23,946 Epoch[1] Batch [44650] Speed: 10.64 samples/sec Train-Accuracy=0.644286
2016-09-23 16:11:00,273 Epoch[1] Batch [44700] Speed: 11.01 samples/sec Train-Accuracy=0.604286
2016-09-23 16:11:36,590 Epoch[1] Batch [44750] Speed: 11.01 samples/sec Train-Accuracy=0.644286
2016-09-23 16:12:12,949 Epoch[1] Batch [44800] Speed: 11.00 samples/sec Train-Accuracy=0.647143
2016-09-23 16:12:49,353 Epoch[1] Batch [44850] Speed: 10.99 samples/sec Train-Accuracy=0.632857
2016-09-23 16:13:25,636 Epoch[1] Batch [44900] Speed: 11.02 samples/sec Train-Accuracy=0.630000
2016-09-23 16:14:02,679 Epoch[1] Batch [44950] Speed: 10.80 samples/sec Train-Accuracy=0.667143
2016-09-23 16:14:40,191 Epoch[1] Batch [45000] Speed: 10.66 samples/sec Train-Accuracy=0.644286
2016-09-23 16:15:19,969 Epoch[1] Batch [45050] Speed: 10.06 samples/sec Train-Accuracy=0.642857
2016-09-23 16:15:58,906 Epoch[1] Batch [45100] Speed: 10.27 samples/sec Train-Accuracy=0.644286
2016-09-23 16:16:35,545 Epoch[1] Batch [45150] Speed: 10.92 samples/sec Train-Accuracy=0.657143
2016-09-23 16:17:12,626 Epoch[1] Batch [45200] Speed: 10.79 samples/sec Train-Accuracy=0.652857
2016-09-23 16:17:51,700 Epoch[1] Batch [45250] Speed: 10.24 samples/sec Train-Accuracy=0.654286
2016-09-23 16:18:31,656 Epoch[1] Batch [45300] Speed: 10.01 samples/sec Train-Accuracy=0.628571
2016-09-23 16:19:11,100 Epoch[1] Batch [45350] Speed: 10.14 samples/sec Train-Accuracy=0.660000
2016-09-23 16:19:50,029 Epoch[1] Batch [45400] Speed: 10.28 samples/sec Train-Accuracy=0.618571
2016-09-23 16:20:27,680 Epoch[1] Batch [45450] Speed: 10.62 samples/sec Train-Accuracy=0.660000
2016-09-23 16:21:05,842 Epoch[1] Batch [45500] Speed: 10.48 samples/sec Train-Accuracy=0.638571
2016-09-23 16:21:45,732 Epoch[1] Batch [45550] Speed: 10.03 samples/sec Train-Accuracy=0.657143
2016-09-23 16:22:24,822 Epoch[1] Batch [45600] Speed: 10.23 samples/sec Train-Accuracy=0.661429
2016-09-23 16:23:03,348 Epoch[1] Batch [45650] Speed: 10.38 samples/sec Train-Accuracy=0.637143
2016-09-23 16:23:41,029 Epoch[1] Batch [45700] Speed: 10.62 samples/sec Train-Accuracy=0.660000
2016-09-23 16:24:17,941 Epoch[1] Batch [45750] Speed: 10.84 samples/sec Train-Accuracy=0.672857
2016-09-23 16:24:55,093 Epoch[1] Batch [45800] Speed: 10.77 samples/sec Train-Accuracy=0.631429
2016-09-23 16:25:33,840 Epoch[1] Batch [45850] Speed: 10.32 samples/sec Train-Accuracy=0.624286
2016-09-23 16:26:12,201 Epoch[1] Batch [45900] Speed: 10.43 samples/sec Train-Accuracy=0.642857
2016-09-23 16:26:49,774 Epoch[1] Batch [45950] Speed: 10.65 samples/sec Train-Accuracy=0.627143
2016-09-23 16:27:27,886 Epoch[1] Batch [46000] Speed: 10.50 samples/sec Train-Accuracy=0.695714
2016-09-23 16:28:05,727 Epoch[1] Batch [46050] Speed: 10.57 samples/sec Train-Accuracy=0.655714
2016-09-23 16:28:43,222 Epoch[1] Batch [46100] Speed: 10.67 samples/sec Train-Accuracy=0.635714
2016-09-23 16:29:20,645 Epoch[1] Batch [46150] Speed: 10.69 samples/sec Train-Accuracy=0.647143
2016-09-23 16:29:58,110 Epoch[1] Batch [46200] Speed: 10.68 samples/sec Train-Accuracy=0.662857
2016-09-23 16:30:35,100 Epoch[1] Batch [46250] Speed: 10.81 samples/sec Train-Accuracy=0.645714
2016-09-23 16:31:11,478 Epoch[1] Batch [46300] Speed: 11.00 samples/sec Train-Accuracy=0.667143
2016-09-23 16:31:47,735 Epoch[1] Batch [46350] Speed: 11.03 samples/sec Train-Accuracy=0.640000
2016-09-23 16:32:24,950 Epoch[1] Batch [46400] Speed: 10.75 samples/sec Train-Accuracy=0.641429
2016-09-23 16:33:02,326 Epoch[1] Batch [46450] Speed: 10.70 samples/sec Train-Accuracy=0.644286
2016-09-23 16:33:39,731 Epoch[1] Batch [46500] Speed: 10.69 samples/sec Train-Accuracy=0.620000
2016-09-23 16:34:16,110 Epoch[1] Batch [46550] Speed: 11.00 samples/sec Train-Accuracy=0.614286
2016-09-23 16:34:52,800 Epoch[1] Batch [46600] Speed: 10.90 samples/sec Train-Accuracy=0.621429
2016-09-23 16:35:30,017 Epoch[1] Batch [46650] Speed: 10.75 samples/sec Train-Accuracy=0.632857
2016-09-23 16:36:07,489 Epoch[1] Batch [46700] Speed: 10.67 samples/sec Train-Accuracy=0.648571
2016-09-23 16:36:44,947 Epoch[1] Batch [46750] Speed: 10.68 samples/sec Train-Accuracy=0.664286
2016-09-23 16:37:22,261 Epoch[1] Batch [46800] Speed: 10.72 samples/sec Train-Accuracy=0.615714
2016-09-23 16:38:02,636 Epoch[1] Batch [46850] Speed: 9.91 samples/sec Train-Accuracy=0.664286
2016-09-23 16:38:39,398 Epoch[1] Batch [46900] Speed: 10.88 samples/sec Train-Accuracy=0.671429
2016-09-23 16:39:16,114 Epoch[1] Batch [46950] Speed: 10.89 samples/sec Train-Accuracy=0.638571
2016-09-23 16:39:53,160 Epoch[1] Batch [47000] Speed: 10.80 samples/sec Train-Accuracy=0.665714
2016-09-23 16:40:30,192 Epoch[1] Batch [47050] Speed: 10.80 samples/sec Train-Accuracy=0.638571
2016-09-23 16:41:07,755 Epoch[1] Batch [47100] Speed: 10.65 samples/sec Train-Accuracy=0.617143
2016-09-23 16:41:45,042 Epoch[1] Batch [47150] Speed: 10.73 samples/sec Train-Accuracy=0.681429
2016-09-23 16:42:21,475 Epoch[1] Batch [47200] Speed: 10.98 samples/sec Train-Accuracy=0.664286
2016-09-23 16:42:57,638 Epoch[1] Batch [47250] Speed: 11.06 samples/sec Train-Accuracy=0.651429
2016-09-23 16:43:33,732 Epoch[1] Batch [47300] Speed: 11.08 samples/sec Train-Accuracy=0.640000
2016-09-23 16:44:09,868 Epoch[1] Batch [47350] Speed: 11.07 samples/sec Train-Accuracy=0.664286
2016-09-23 16:44:45,927 Epoch[1] Batch [47400] Speed: 11.09 samples/sec Train-Accuracy=0.637143
2016-09-23 16:45:22,458 Epoch[1] Batch [47450] Speed: 10.95 samples/sec Train-Accuracy=0.628571
2016-09-23 16:46:00,071 Epoch[1] Batch [47500] Speed: 10.63 samples/sec Train-Accuracy=0.671429
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2016-09-23 16:47:12,316 Epoch[1] Batch [47600] Speed: 11.07 samples/sec Train-Accuracy=0.658571
2016-09-23 16:47:48,481 Epoch[1] Batch [47650] Speed: 11.06 samples/sec Train-Accuracy=0.644286
2016-09-23 16:48:24,619 Epoch[1] Batch [47700] Speed: 11.07 samples/sec Train-Accuracy=0.694286
2016-09-23 16:49:00,791 Epoch[1] Batch [47750] Speed: 11.06 samples/sec Train-Accuracy=0.631429
2016-09-23 16:49:37,256 Epoch[1] Batch [47800] Speed: 10.97 samples/sec Train-Accuracy=0.634286
2016-09-23 16:50:14,242 Epoch[1] Batch [47850] Speed: 10.81 samples/sec Train-Accuracy=0.645714
2016-09-23 16:50:51,735 Epoch[1] Batch [47900] Speed: 10.67 samples/sec Train-Accuracy=0.645714
2016-09-23 16:51:29,233 Epoch[1] Batch [47950] Speed: 10.67 samples/sec Train-Accuracy=0.660000
2016-09-23 16:52:07,582 Epoch[1] Batch [48000] Speed: 10.43 samples/sec Train-Accuracy=0.644286
2016-09-23 16:52:46,700 Epoch[1] Batch [48050] Speed: 10.23 samples/sec Train-Accuracy=0.635714
2016-09-23 16:53:25,030 Epoch[1] Batch [48100] Speed: 10.44 samples/sec Train-Accuracy=0.632857
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2016-09-23 16:54:42,184 Epoch[1] Batch [48200] Speed: 10.32 samples/sec Train-Accuracy=0.671429
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2016-09-23 16:56:30,333 Epoch[1] Batch [48350] Speed: 11.11 samples/sec Train-Accuracy=0.635714
2016-09-23 16:57:06,377 Epoch[1] Batch [48400] Speed: 11.10 samples/sec Train-Accuracy=0.645714
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2016-09-23 16:58:18,471 Epoch[1] Batch [48500] Speed: 11.09 samples/sec Train-Accuracy=0.685714
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2016-09-23 16:59:31,611 Epoch[1] Batch [48600] Speed: 10.80 samples/sec Train-Accuracy=0.674286
2016-09-23 17:00:10,022 Epoch[1] Batch [48650] Speed: 10.41 samples/sec Train-Accuracy=0.638571
2016-09-23 17:00:46,442 Epoch[1] Batch [48700] Speed: 10.98 samples/sec Train-Accuracy=0.654286
2016-09-23 17:01:22,910 Epoch[1] Batch [48750] Speed: 10.97 samples/sec Train-Accuracy=0.672857
2016-09-23 17:01:59,418 Epoch[1] Batch [48800] Speed: 10.96 samples/sec Train-Accuracy=0.612857
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2016-09-23 17:03:12,216 Epoch[1] Batch [48900] Speed: 10.97 samples/sec Train-Accuracy=0.631429
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2016-09-23 17:05:41,307 Epoch[1] Batch [49100] Speed: 10.44 samples/sec Train-Accuracy=0.661429
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2016-09-23 17:08:08,351 Epoch[1] Batch [49300] Speed: 11.00 samples/sec Train-Accuracy=0.670000
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2016-09-23 17:32:00,831 Epoch[1] Batch [51250] Speed: 11.02 samples/sec Train-Accuracy=0.667143
2016-09-23 17:32:37,185 Epoch[1] Batch [51300] Speed: 11.00 samples/sec Train-Accuracy=0.657143
2016-09-23 17:33:13,483 Epoch[1] Batch [51350] Speed: 11.02 samples/sec Train-Accuracy=0.660000
2016-09-23 17:33:53,052 Epoch[1] Batch [51400] Speed: 10.11 samples/sec Train-Accuracy=0.680000
2016-09-23 17:34:34,621 Epoch[1] Batch [51450] Speed: 9.62 samples/sec Train-Accuracy=0.654286
2016-09-23 17:35:13,665 Epoch[1] Batch [51500] Speed: 10.25 samples/sec Train-Accuracy=0.647143
2016-09-23 17:35:51,660 Epoch[1] Batch [51550] Speed: 10.53 samples/sec Train-Accuracy=0.650000
2016-09-23 17:36:28,036 Epoch[1] Batch [51600] Speed: 11.00 samples/sec Train-Accuracy=0.638571
2016-09-23 17:37:04,815 Epoch[1] Batch [51650] Speed: 10.88 samples/sec Train-Accuracy=0.681429
2016-09-23 17:37:41,764 Epoch[1] Batch [51700] Speed: 10.83 samples/sec Train-Accuracy=0.657143
2016-09-23 17:38:17,950 Epoch[1] Batch [51750] Speed: 11.05 samples/sec Train-Accuracy=0.655714
2016-09-23 17:38:54,701 Epoch[1] Batch [51800] Speed: 10.88 samples/sec Train-Accuracy=0.660000
2016-09-23 17:39:32,331 Epoch[1] Batch [51850] Speed: 10.63 samples/sec Train-Accuracy=0.635714
2016-09-23 17:40:09,822 Epoch[1] Batch [51900] Speed: 10.67 samples/sec Train-Accuracy=0.614286
2016-09-23 17:40:47,008 Epoch[1] Batch [51950] Speed: 10.76 samples/sec Train-Accuracy=0.647143
2016-09-23 17:41:24,294 Epoch[1] Batch [52000] Speed: 10.73 samples/sec Train-Accuracy=0.680000
2016-09-23 17:42:00,469 Epoch[1] Batch [52050] Speed: 11.06 samples/sec Train-Accuracy=0.654286
2016-09-23 17:42:38,500 Epoch[1] Batch [52100] Speed: 10.52 samples/sec Train-Accuracy=0.641429
2016-09-23 17:43:14,767 Epoch[1] Batch [52150] Speed: 11.03 samples/sec Train-Accuracy=0.684286
2016-09-23 17:43:51,027 Epoch[1] Batch [52200] Speed: 11.03 samples/sec Train-Accuracy=0.634286
2016-09-23 17:44:27,299 Epoch[1] Batch [52250] Speed: 11.03 samples/sec Train-Accuracy=0.650000
2016-09-23 17:45:03,631 Epoch[1] Batch [52300] Speed: 11.01 samples/sec Train-Accuracy=0.671429
2016-09-23 17:45:39,873 Epoch[1] Batch [52350] Speed: 11.04 samples/sec Train-Accuracy=0.621429
2016-09-23 17:46:16,051 Epoch[1] Batch [52400] Speed: 11.06 samples/sec Train-Accuracy=0.641429
2016-09-23 17:46:52,383 Epoch[1] Batch [52450] Speed: 11.01 samples/sec Train-Accuracy=0.671429
2016-09-23 17:47:28,610 Epoch[1] Batch [52500] Speed: 11.04 samples/sec Train-Accuracy=0.650000
2016-09-23 17:48:06,084 Epoch[1] Batch [52550] Speed: 10.67 samples/sec Train-Accuracy=0.661429
2016-09-23 17:48:45,521 Epoch[1] Batch [52600] Speed: 10.14 samples/sec Train-Accuracy=0.668571
2016-09-23 17:49:22,490 Epoch[1] Batch [52650] Speed: 10.82 samples/sec Train-Accuracy=0.674286
2016-09-23 17:49:59,185 Epoch[1] Batch [52700] Speed: 10.90 samples/sec Train-Accuracy=0.660000
2016-09-23 17:50:36,619 Epoch[1] Batch [52750] Speed: 10.69 samples/sec Train-Accuracy=0.670000
2016-09-23 17:51:14,109 Epoch[1] Batch [52800] Speed: 10.67 samples/sec Train-Accuracy=0.645714
2016-09-23 17:51:51,300 Epoch[1] Batch [52850] Speed: 10.76 samples/sec Train-Accuracy=0.647143
2016-09-23 17:52:29,297 Epoch[1] Batch [52900] Speed: 10.53 samples/sec Train-Accuracy=0.648571
2016-09-23 17:53:06,812 Epoch[1] Batch [52950] Speed: 10.66 samples/sec Train-Accuracy=0.655714
2016-09-23 17:53:44,135 Epoch[1] Batch [53000] Speed: 10.72 samples/sec Train-Accuracy=0.654286
2016-09-23 17:54:20,636 Epoch[1] Batch [53050] Speed: 10.96 samples/sec Train-Accuracy=0.642857
2016-09-23 17:54:56,906 Epoch[1] Batch [53100] Speed: 11.03 samples/sec Train-Accuracy=0.658571
2016-09-23 17:55:33,083 Epoch[1] Batch [53150] Speed: 11.06 samples/sec Train-Accuracy=0.667143
2016-09-23 17:56:09,357 Epoch[1] Batch [53200] Speed: 11.03 samples/sec Train-Accuracy=0.677143
2016-09-23 17:56:45,424 Epoch[1] Batch [53250] Speed: 11.09 samples/sec Train-Accuracy=0.648571
2016-09-23 17:57:21,468 Epoch[1] Batch [53300] Speed: 11.10 samples/sec Train-Accuracy=0.628571
2016-09-23 17:57:57,530 Epoch[1] Batch [53350] Speed: 11.09 samples/sec Train-Accuracy=0.660000
2016-09-23 17:58:33,916 Epoch[1] Batch [53400] Speed: 10.99 samples/sec Train-Accuracy=0.647143
2016-09-23 17:59:10,894 Epoch[1] Batch [53450] Speed: 10.82 samples/sec Train-Accuracy=0.660000
2016-09-23 17:59:47,540 Epoch[1] Batch [53500] Speed: 10.92 samples/sec Train-Accuracy=0.638571
2016-09-23 18:00:26,040 Epoch[1] Batch [53550] Speed: 10.39 samples/sec Train-Accuracy=0.635714
2016-09-23 18:01:03,223 Epoch[1] Batch [53600] Speed: 10.76 samples/sec Train-Accuracy=0.648571
2016-09-23 18:01:39,379 Epoch[1] Batch [53650] Speed: 11.06 samples/sec Train-Accuracy=0.662857
2016-09-23 18:02:15,539 Epoch[1] Batch [53700] Speed: 11.06 samples/sec Train-Accuracy=0.685714
2016-09-23 18:02:51,731 Epoch[1] Batch [53750] Speed: 11.05 samples/sec Train-Accuracy=0.661429
2016-09-23 18:03:28,455 Epoch[1] Batch [53800] Speed: 10.89 samples/sec Train-Accuracy=0.647143
2016-09-23 18:04:05,294 Epoch[1] Batch [53850] Speed: 10.86 samples/sec Train-Accuracy=0.680000
2016-09-23 18:04:41,460 Epoch[1] Batch [53900] Speed: 11.06 samples/sec Train-Accuracy=0.642857
2016-09-23 18:05:17,624 Epoch[1] Batch [53950] Speed: 11.06 samples/sec Train-Accuracy=0.670000
2016-09-23 18:05:53,804 Epoch[1] Batch [54000] Speed: 11.06 samples/sec Train-Accuracy=0.657143
2016-09-23 18:06:29,947 Epoch[1] Batch [54050] Speed: 11.07 samples/sec Train-Accuracy=0.660000
2016-09-23 18:07:06,267 Epoch[1] Batch [54100] Speed: 11.01 samples/sec Train-Accuracy=0.647143
2016-09-23 18:07:42,673 Epoch[1] Batch [54150] Speed: 10.99 samples/sec Train-Accuracy=0.622857
2016-09-23 18:08:22,292 Epoch[1] Batch [54200] Speed: 10.10 samples/sec Train-Accuracy=0.675714
2016-09-23 18:09:00,054 Epoch[1] Batch [54250] Speed: 10.59 samples/sec Train-Accuracy=0.660000
2016-09-23 18:09:37,046 Epoch[1] Batch [54300] Speed: 10.81 samples/sec Train-Accuracy=0.705714
2016-09-23 18:10:14,024 Epoch[1] Batch [54350] Speed: 10.82 samples/sec Train-Accuracy=0.658571
2016-09-23 18:10:50,829 Epoch[1] Batch [54400] Speed: 10.87 samples/sec Train-Accuracy=0.625714
2016-09-23 18:11:27,121 Epoch[1] Batch [54450] Speed: 11.02 samples/sec Train-Accuracy=0.671429
2016-09-23 18:12:03,321 Epoch[1] Batch [54500] Speed: 11.05 samples/sec Train-Accuracy=0.648571
2016-09-23 18:12:39,805 Epoch[1] Batch [54550] Speed: 10.96 samples/sec Train-Accuracy=0.670000
2016-09-23 18:13:16,481 Epoch[1] Batch [54600] Speed: 10.91 samples/sec Train-Accuracy=0.651429
2016-09-23 18:13:54,753 Epoch[1] Batch [54650] Speed: 10.45 samples/sec Train-Accuracy=0.682857
2016-09-23 18:14:35,839 Epoch[1] Batch [54700] Speed: 9.74 samples/sec Train-Accuracy=0.677143
2016-09-23 18:15:14,075 Epoch[1] Batch [54750] Speed: 10.46 samples/sec Train-Accuracy=0.660000
2016-09-23 18:15:53,139 Epoch[1] Batch [54800] Speed: 10.24 samples/sec Train-Accuracy=0.645714
2016-09-23 18:16:31,643 Epoch[1] Batch [54850] Speed: 10.39 samples/sec Train-Accuracy=0.638571
2016-09-23 18:17:08,640 Epoch[1] Batch [54900] Speed: 10.81 samples/sec Train-Accuracy=0.651429
2016-09-23 18:17:45,138 Epoch[1] Batch [54950] Speed: 10.96 samples/sec Train-Accuracy=0.668571
2016-09-23 18:18:21,740 Epoch[1] Batch [55000] Speed: 10.93 samples/sec Train-Accuracy=0.670000
2016-09-23 18:18:58,009 Epoch[1] Batch [55050] Speed: 11.03 samples/sec Train-Accuracy=0.655714
2016-09-23 18:19:34,310 Epoch[1] Batch [55100] Speed: 11.02 samples/sec Train-Accuracy=0.622857
2016-09-23 18:20:10,712 Epoch[1] Batch [55150] Speed: 10.99 samples/sec Train-Accuracy=0.655714
2016-09-23 18:20:46,763 Epoch[1] Batch [55200] Speed: 11.10 samples/sec Train-Accuracy=0.652857
2016-09-23 18:21:22,843 Epoch[1] Batch [55250] Speed: 11.09 samples/sec Train-Accuracy=0.651429
2016-09-23 18:21:58,978 Epoch[1] Batch [55300] Speed: 11.07 samples/sec Train-Accuracy=0.664286
2016-09-23 18:22:34,986 Epoch[1] Batch [55350] Speed: 11.11 samples/sec Train-Accuracy=0.685714
2016-09-23 18:23:11,032 Epoch[1] Batch [55400] Speed: 11.10 samples/sec Train-Accuracy=0.658571
2016-09-23 18:23:47,094 Epoch[1] Batch [55450] Speed: 11.09 samples/sec Train-Accuracy=0.632857
2016-09-23 18:24:23,130 Epoch[1] Batch [55500] Speed: 11.10 samples/sec Train-Accuracy=0.635714
2016-09-23 18:24:59,133 Epoch[1] Batch [55550] Speed: 11.11 samples/sec Train-Accuracy=0.657143
2016-09-23 18:25:35,132 Epoch[1] Batch [55600] Speed: 11.11 samples/sec Train-Accuracy=0.660000
2016-09-23 18:26:11,157 Epoch[1] Batch [55650] Speed: 11.10 samples/sec Train-Accuracy=0.684286
2016-09-23 18:26:47,226 Epoch[1] Batch [55700] Speed: 11.09 samples/sec Train-Accuracy=0.664286
2016-09-23 18:27:24,538 Epoch[1] Batch [55750] Speed: 10.72 samples/sec Train-Accuracy=0.654286
2016-09-23 18:28:02,270 Epoch[1] Batch [55800] Speed: 10.60 samples/sec Train-Accuracy=0.654286
2016-09-23 18:28:39,351 Epoch[1] Batch [55850] Speed: 10.79 samples/sec Train-Accuracy=0.652857
2016-09-23 18:29:16,555 Epoch[1] Batch [55900] Speed: 10.75 samples/sec Train-Accuracy=0.637143
2016-09-23 18:29:52,894 Epoch[1] Batch [55950] Speed: 11.01 samples/sec Train-Accuracy=0.655714
2016-09-23 18:30:28,978 Epoch[1] Batch [56000] Speed: 11.09 samples/sec Train-Accuracy=0.671429
2016-09-23 18:31:05,087 Epoch[1] Batch [56050] Speed: 11.08 samples/sec Train-Accuracy=0.651429
2016-09-23 18:31:41,192 Epoch[1] Batch [56100] Speed: 11.08 samples/sec Train-Accuracy=0.718571
2016-09-23 18:32:17,311 Epoch[1] Batch [56150] Speed: 11.07 samples/sec Train-Accuracy=0.668571
2016-09-23 18:32:53,447 Epoch[1] Batch [56200] Speed: 11.07 samples/sec Train-Accuracy=0.670000
2016-09-23 18:33:29,549 Epoch[1] Batch [56250] Speed: 11.08 samples/sec Train-Accuracy=0.655714
2016-09-23 18:34:05,524 Epoch[1] Batch [56300] Speed: 11.12 samples/sec Train-Accuracy=0.658571
2016-09-23 18:34:47,436 Epoch[1] Batch [56350] Speed: 9.54 samples/sec Train-Accuracy=0.662857
2016-09-23 18:35:25,459 Epoch[1] Batch [56400] Speed: 10.52 samples/sec Train-Accuracy=0.658571
2016-09-23 18:36:01,675 Epoch[1] Batch [56450] Speed: 11.05 samples/sec Train-Accuracy=0.658571
2016-09-23 18:36:38,141 Epoch[1] Batch [56500] Speed: 10.97 samples/sec Train-Accuracy=0.677143
2016-09-23 18:37:14,249 Epoch[1] Batch [56550] Speed: 11.08 samples/sec Train-Accuracy=0.692857
2016-09-23 18:37:50,642 Epoch[1] Batch [56600] Speed: 10.99 samples/sec Train-Accuracy=0.642857
2016-09-23 18:38:26,947 Epoch[1] Batch [56650] Speed: 11.02 samples/sec Train-Accuracy=0.682857
2016-09-23 18:39:03,168 Epoch[1] Batch [56700] Speed: 11.04 samples/sec Train-Accuracy=0.662857
2016-09-23 18:39:39,456 Epoch[1] Batch [56750] Speed: 11.02 samples/sec Train-Accuracy=0.652857
2016-09-23 18:40:15,926 Epoch[1] Batch [56800] Speed: 10.97 samples/sec Train-Accuracy=0.661429
2016-09-23 18:40:52,154 Epoch[1] Batch [56850] Speed: 11.04 samples/sec Train-Accuracy=0.645714
2016-09-23 18:41:28,341 Epoch[1] Batch [56900] Speed: 11.05 samples/sec Train-Accuracy=0.665714
2016-09-23 18:42:04,582 Epoch[1] Batch [56950] Speed: 11.04 samples/sec Train-Accuracy=0.671429
2016-09-23 18:42:41,164 Epoch[1] Batch [57000] Speed: 10.93 samples/sec Train-Accuracy=0.652857
2016-09-23 18:43:17,551 Epoch[1] Batch [57050] Speed: 10.99 samples/sec Train-Accuracy=0.635714
2016-09-23 18:43:53,838 Epoch[1] Batch [57100] Speed: 11.02 samples/sec Train-Accuracy=0.625714
2016-09-23 18:44:30,193 Epoch[1] Batch [57150] Speed: 11.00 samples/sec Train-Accuracy=0.687143
2016-09-23 18:45:06,385 Epoch[1] Batch [57200] Speed: 11.05 samples/sec Train-Accuracy=0.665714
2016-09-23 18:45:42,535 Epoch[1] Batch [57250] Speed: 11.07 samples/sec Train-Accuracy=0.661429
2016-09-23 18:46:18,657 Epoch[1] Batch [57300] Speed: 11.07 samples/sec Train-Accuracy=0.671429
2016-09-23 18:46:55,036 Epoch[1] Batch [57350] Speed: 11.00 samples/sec Train-Accuracy=0.625714
2016-09-23 18:47:31,203 Epoch[1] Batch [57400] Speed: 11.06 samples/sec Train-Accuracy=0.650000
2016-09-23 18:48:07,708 Epoch[1] Batch [57450] Speed: 10.96 samples/sec Train-Accuracy=0.671429
2016-09-23 18:48:45,443 Epoch[1] Batch [57500] Speed: 10.60 samples/sec Train-Accuracy=0.678571
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2016-09-23 18:50:00,093 Epoch[1] Batch [57600] Speed: 10.75 samples/sec Train-Accuracy=0.652857
2016-09-23 18:50:37,082 Epoch[1] Batch [57650] Speed: 10.81 samples/sec Train-Accuracy=0.665714
2016-09-23 18:51:13,976 Epoch[1] Batch [57700] Speed: 10.84 samples/sec Train-Accuracy=0.667143
2016-09-23 18:51:50,831 Epoch[1] Batch [57750] Speed: 10.85 samples/sec Train-Accuracy=0.661429
2016-09-23 18:52:27,651 Epoch[1] Batch [57800] Speed: 10.86 samples/sec Train-Accuracy=0.632857
2016-09-23 18:53:04,129 Epoch[1] Batch [57850] Speed: 10.97 samples/sec Train-Accuracy=0.694286
2016-09-23 18:53:40,392 Epoch[1] Batch [57900] Speed: 11.03 samples/sec Train-Accuracy=0.648571
2016-09-23 18:54:16,712 Epoch[1] Batch [57950] Speed: 11.01 samples/sec Train-Accuracy=0.662857
2016-09-23 18:54:53,044 Epoch[1] Batch [58000] Speed: 11.01 samples/sec Train-Accuracy=0.641429
2016-09-23 18:55:29,338 Epoch[1] Batch [58050] Speed: 11.02 samples/sec Train-Accuracy=0.667143
2016-09-23 18:56:05,534 Epoch[1] Batch [58100] Speed: 11.05 samples/sec Train-Accuracy=0.664286
2016-09-23 18:56:41,864 Epoch[1] Batch [58150] Speed: 11.01 samples/sec Train-Accuracy=0.634286
2016-09-23 18:57:18,042 Epoch[1] Batch [58200] Speed: 11.06 samples/sec Train-Accuracy=0.658571
2016-09-23 18:57:54,126 Epoch[1] Batch [58250] Speed: 11.09 samples/sec Train-Accuracy=0.652857
2016-09-23 18:58:30,306 Epoch[1] Batch [58300] Speed: 11.06 samples/sec Train-Accuracy=0.611429
2016-09-23 18:59:06,430 Epoch[1] Batch [58350] Speed: 11.07 samples/sec Train-Accuracy=0.685714
2016-09-23 18:59:42,660 Epoch[1] Batch [58400] Speed: 11.04 samples/sec Train-Accuracy=0.618571
2016-09-23 19:00:18,976 Epoch[1] Batch [58450] Speed: 11.01 samples/sec Train-Accuracy=0.667143
2016-09-23 19:00:55,261 Epoch[1] Batch [58500] Speed: 11.02 samples/sec Train-Accuracy=0.682857
2016-09-23 19:01:31,753 Epoch[1] Batch [58550] Speed: 10.96 samples/sec Train-Accuracy=0.655714
2016-09-23 19:02:08,358 Epoch[1] Batch [58600] Speed: 10.93 samples/sec Train-Accuracy=0.661429
2016-09-23 19:02:44,553 Epoch[1] Batch [58650] Speed: 11.05 samples/sec Train-Accuracy=0.658571
2016-09-23 19:03:20,599 Epoch[1] Batch [58700] Speed: 11.10 samples/sec Train-Accuracy=0.657143
2016-09-23 19:03:56,627 Epoch[1] Batch [58750] Speed: 11.10 samples/sec Train-Accuracy=0.682857
2016-09-23 19:04:32,635 Epoch[1] Batch [58800] Speed: 11.11 samples/sec Train-Accuracy=0.670000
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2016-09-23 19:05:49,233 Epoch[1] Batch [58900] Speed: 10.53 samples/sec Train-Accuracy=0.715714
2016-09-23 19:06:27,319 Epoch[1] Batch [58950] Speed: 10.50 samples/sec Train-Accuracy=0.687143
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2016-09-23 19:08:21,381 Epoch[1] Batch [59100] Speed: 10.82 samples/sec Train-Accuracy=0.654286
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2016-09-23 19:12:04,205 Epoch[1] Batch [59400] Speed: 10.86 samples/sec Train-Accuracy=0.662857
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2016-09-23 19:14:29,619 Epoch[1] Batch [59600] Speed: 11.04 samples/sec Train-Accuracy=0.627143
2016-09-23 19:15:06,464 Epoch[1] Batch [59650] Speed: 10.86 samples/sec Train-Accuracy=0.701429
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2016-09-23 19:22:28,259 Epoch[1] Batch [60250] Speed: 10.91 samples/sec Train-Accuracy=0.670000
2016-09-23 19:23:05,020 Epoch[1] Batch [60300] Speed: 10.88 samples/sec Train-Accuracy=0.644286
2016-09-23 19:23:41,672 Epoch[1] Batch [60350] Speed: 10.91 samples/sec Train-Accuracy=0.701429
2016-09-23 19:24:18,317 Epoch[1] Batch [60400] Speed: 10.92 samples/sec Train-Accuracy=0.657143
2016-09-23 19:24:55,041 Epoch[1] Batch [60450] Speed: 10.89 samples/sec Train-Accuracy=0.684286
2016-09-23 19:25:33,606 Epoch[1] Batch [60500] Speed: 10.37 samples/sec Train-Accuracy=0.655714
2016-09-23 19:26:12,248 Epoch[1] Batch [60550] Speed: 10.35 samples/sec Train-Accuracy=0.687143
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2016-09-23 19:27:25,406 Epoch[1] Batch [60650] Speed: 10.95 samples/sec Train-Accuracy=0.631429
2016-09-23 19:28:02,022 Epoch[1] Batch [60700] Speed: 10.92 samples/sec Train-Accuracy=0.667143
2016-09-23 19:28:40,065 Epoch[1] Batch [60750] Speed: 10.51 samples/sec Train-Accuracy=0.675714
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2016-09-23 19:50:14,293 Epoch[1] Batch [62500] Speed: 10.91 samples/sec Train-Accuracy=0.687143
2016-09-23 19:50:14,294 Epoch[1] Resetting Data Iterator
2016-09-23 19:50:14,294 Epoch[1] Time cost=46441.062
2016-09-23 19:51:06,591 Epoch[1] Validation-Accuracy=0.650857
2016-09-23 19:51:44,088 Epoch[2] Batch [50] Speed: 10.78 samples/sec Train-Accuracy=0.672857
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2016-09-23 20:00:22,341 Epoch[2] Batch [750] Speed: 10.89 samples/sec Train-Accuracy=0.620000
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2016-09-23 20:34:46,183 Epoch[2] Batch [3550] Speed: 10.99 samples/sec Train-Accuracy=0.632857
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2016-09-23 20:40:12,124 Epoch[2] Batch [4000] Speed: 11.03 samples/sec Train-Accuracy=0.680000
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2016-09-23 21:27:04,185 Epoch[2] Batch [7750] Speed: 11.08 samples/sec Train-Accuracy=0.654286
2016-09-23 21:27:40,509 Epoch[2] Batch [7800] Speed: 11.01 samples/sec Train-Accuracy=0.675714
2016-09-23 21:28:16,621 Epoch[2] Batch [7850] Speed: 11.08 samples/sec Train-Accuracy=0.695714
2016-09-23 21:28:52,611 Epoch[2] Batch [7900] Speed: 11.11 samples/sec Train-Accuracy=0.688571
2016-09-23 21:29:28,687 Epoch[2] Batch [7950] Speed: 11.09 samples/sec Train-Accuracy=0.702857
2016-09-23 21:30:04,759 Epoch[2] Batch [8000] Speed: 11.09 samples/sec Train-Accuracy=0.681429
2016-09-23 21:30:40,810 Epoch[2] Batch [8050] Speed: 11.10 samples/sec Train-Accuracy=0.660000
2016-09-23 21:31:16,932 Epoch[2] Batch [8100] Speed: 11.07 samples/sec Train-Accuracy=0.697143
2016-09-23 21:31:53,093 Epoch[2] Batch [8150] Speed: 11.06 samples/sec Train-Accuracy=0.654286
2016-09-23 21:32:29,194 Epoch[2] Batch [8200] Speed: 11.08 samples/sec Train-Accuracy=0.688571
2016-09-23 21:33:05,567 Epoch[2] Batch [8250] Speed: 11.00 samples/sec Train-Accuracy=0.620000
2016-09-23 21:33:41,583 Epoch[2] Batch [8300] Speed: 11.11 samples/sec Train-Accuracy=0.705714
2016-09-23 21:34:17,583 Epoch[2] Batch [8350] Speed: 11.11 samples/sec Train-Accuracy=0.671429
2016-09-23 21:34:53,604 Epoch[2] Batch [8400] Speed: 11.10 samples/sec Train-Accuracy=0.670000
2016-09-23 21:35:29,995 Epoch[2] Batch [8450] Speed: 10.99 samples/sec Train-Accuracy=0.664286
2016-09-23 21:36:06,169 Epoch[2] Batch [8500] Speed: 11.06 samples/sec Train-Accuracy=0.665714
2016-09-23 21:36:42,136 Epoch[2] Batch [8550] Speed: 11.12 samples/sec Train-Accuracy=0.694286
2016-09-23 21:37:18,079 Epoch[2] Batch [8600] Speed: 11.13 samples/sec Train-Accuracy=0.677143
2016-09-23 21:37:53,983 Epoch[2] Batch [8650] Speed: 11.14 samples/sec Train-Accuracy=0.692857
2016-09-23 21:38:29,865 Epoch[2] Batch [8700] Speed: 11.15 samples/sec Train-Accuracy=0.697143
2016-09-23 21:39:05,788 Epoch[2] Batch [8750] Speed: 11.14 samples/sec Train-Accuracy=0.688571
2016-09-23 21:39:42,311 Epoch[2] Batch [8800] Speed: 10.95 samples/sec Train-Accuracy=0.672857
2016-09-23 21:40:18,367 Epoch[2] Batch [8850] Speed: 11.09 samples/sec Train-Accuracy=0.688571
2016-09-23 21:40:54,434 Epoch[2] Batch [8900] Speed: 11.09 samples/sec Train-Accuracy=0.690000
2016-09-23 21:41:30,649 Epoch[2] Batch [8950] Speed: 11.05 samples/sec Train-Accuracy=0.675714
2016-09-23 21:42:06,772 Epoch[2] Batch [9000] Speed: 11.07 samples/sec Train-Accuracy=0.722857
2016-09-23 21:42:42,826 Epoch[2] Batch [9050] Speed: 11.09 samples/sec Train-Accuracy=0.694286
2016-09-23 21:43:18,872 Epoch[2] Batch [9100] Speed: 11.10 samples/sec Train-Accuracy=0.651429
2016-09-23 21:43:55,311 Epoch[2] Batch [9150] Speed: 10.98 samples/sec Train-Accuracy=0.662857
2016-09-23 21:44:31,398 Epoch[2] Batch [9200] Speed: 11.08 samples/sec Train-Accuracy=0.664286
2016-09-23 21:45:07,475 Epoch[2] Batch [9250] Speed: 11.09 samples/sec Train-Accuracy=0.661429
2016-09-23 21:45:43,555 Epoch[2] Batch [9300] Speed: 11.09 samples/sec Train-Accuracy=0.665714
2016-09-23 21:46:19,724 Epoch[2] Batch [9350] Speed: 11.06 samples/sec Train-Accuracy=0.654286
2016-09-23 21:46:55,785 Epoch[2] Batch [9400] Speed: 11.09 samples/sec Train-Accuracy=0.707143
2016-09-23 21:47:35,367 Epoch[2] Batch [9450] Speed: 10.11 samples/sec Train-Accuracy=0.672857
2016-09-23 21:48:14,774 Epoch[2] Batch [9500] Speed: 10.15 samples/sec Train-Accuracy=0.692857
2016-09-23 21:48:53,115 Epoch[2] Batch [9550] Speed: 10.43 samples/sec Train-Accuracy=0.721429
2016-09-23 21:49:34,481 Epoch[2] Batch [9600] Speed: 9.67 samples/sec Train-Accuracy=0.665714
2016-09-23 21:50:13,469 Epoch[2] Batch [9650] Speed: 10.26 samples/sec Train-Accuracy=0.702857
2016-09-23 21:50:50,589 Epoch[2] Batch [9700] Speed: 10.78 samples/sec Train-Accuracy=0.682857
2016-09-23 21:51:27,503 Epoch[2] Batch [9750] Speed: 10.84 samples/sec Train-Accuracy=0.691429
2016-09-23 21:52:04,653 Epoch[2] Batch [9800] Speed: 10.77 samples/sec Train-Accuracy=0.670000
2016-09-23 21:52:41,609 Epoch[2] Batch [9850] Speed: 10.82 samples/sec Train-Accuracy=0.702857
2016-09-23 21:53:18,672 Epoch[2] Batch [9900] Speed: 10.79 samples/sec Train-Accuracy=0.695714
2016-09-23 21:53:55,852 Epoch[2] Batch [9950] Speed: 10.76 samples/sec Train-Accuracy=0.698571
2016-09-23 21:54:32,926 Epoch[2] Batch [10000] Speed: 10.79 samples/sec Train-Accuracy=0.681429
2016-09-23 21:55:09,946 Epoch[2] Batch [10050] Speed: 10.81 samples/sec Train-Accuracy=0.685714
2016-09-23 21:55:47,301 Epoch[2] Batch [10100] Speed: 10.71 samples/sec Train-Accuracy=0.675714
2016-09-23 21:56:24,816 Epoch[2] Batch [10150] Speed: 10.66 samples/sec Train-Accuracy=0.672857
2016-09-23 21:57:02,039 Epoch[2] Batch [10200] Speed: 10.75 samples/sec Train-Accuracy=0.650000
2016-09-23 21:57:43,611 Epoch[2] Batch [10250] Speed: 9.62 samples/sec Train-Accuracy=0.678571
2016-09-23 21:58:24,215 Epoch[2] Batch [10300] Speed: 9.85 samples/sec Train-Accuracy=0.678571
2016-09-23 21:59:00,450 Epoch[2] Batch [10350] Speed: 11.04 samples/sec Train-Accuracy=0.680000
2016-09-23 21:59:36,559 Epoch[2] Batch [10400] Speed: 11.08 samples/sec Train-Accuracy=0.657143
2016-09-23 22:00:12,534 Epoch[2] Batch [10450] Speed: 11.12 samples/sec Train-Accuracy=0.674286
2016-09-23 22:00:48,616 Epoch[2] Batch [10500] Speed: 11.09 samples/sec Train-Accuracy=0.668571
2016-09-23 22:01:24,723 Epoch[2] Batch [10550] Speed: 11.08 samples/sec Train-Accuracy=0.712857
2016-09-23 22:02:03,155 Epoch[2] Batch [10600] Speed: 10.41 samples/sec Train-Accuracy=0.698571
2016-09-23 22:02:41,323 Epoch[2] Batch [10650] Speed: 10.48 samples/sec Train-Accuracy=0.705714
2016-09-23 22:03:18,854 Epoch[2] Batch [10700] Speed: 10.66 samples/sec Train-Accuracy=0.742857
2016-09-23 22:03:56,188 Epoch[2] Batch [10750] Speed: 10.71 samples/sec Train-Accuracy=0.665714
2016-09-23 22:04:33,527 Epoch[2] Batch [10800] Speed: 10.71 samples/sec Train-Accuracy=0.730000
2016-09-23 22:05:11,330 Epoch[2] Batch [10850] Speed: 10.58 samples/sec Train-Accuracy=0.682857
2016-09-23 22:05:49,375 Epoch[2] Batch [10900] Speed: 10.51 samples/sec Train-Accuracy=0.695714
2016-09-23 22:06:27,366 Epoch[2] Batch [10950] Speed: 10.53 samples/sec Train-Accuracy=0.690000
2016-09-23 22:07:05,307 Epoch[2] Batch [11000] Speed: 10.54 samples/sec Train-Accuracy=0.661429
2016-09-23 22:07:43,141 Epoch[2] Batch [11050] Speed: 10.57 samples/sec Train-Accuracy=0.692857
2016-09-23 22:08:23,521 Epoch[2] Batch [11100] Speed: 9.91 samples/sec Train-Accuracy=0.678571
2016-09-23 22:09:05,365 Epoch[2] Batch [11150] Speed: 9.56 samples/sec Train-Accuracy=0.691429
2016-09-23 22:09:45,197 Epoch[2] Batch [11200] Speed: 10.04 samples/sec Train-Accuracy=0.674286
2016-09-23 22:10:25,049 Epoch[2] Batch [11250] Speed: 10.04 samples/sec Train-Accuracy=0.677143
2016-09-23 22:11:05,141 Epoch[2] Batch [11300] Speed: 9.98 samples/sec Train-Accuracy=0.681429
2016-09-23 22:11:43,360 Epoch[2] Batch [11350] Speed: 10.47 samples/sec Train-Accuracy=0.705714
2016-09-23 22:12:21,896 Epoch[2] Batch [11400] Speed: 10.38 samples/sec Train-Accuracy=0.651429
2016-09-23 22:13:00,372 Epoch[2] Batch [11450] Speed: 10.40 samples/sec Train-Accuracy=0.687143
2016-09-23 22:13:38,667 Epoch[2] Batch [11500] Speed: 10.45 samples/sec Train-Accuracy=0.685714
2016-09-23 22:14:15,689 Epoch[2] Batch [11550] Speed: 10.80 samples/sec Train-Accuracy=0.657143
2016-09-23 22:14:52,550 Epoch[2] Batch [11600] Speed: 10.85 samples/sec Train-Accuracy=0.685714
2016-09-23 22:15:29,398 Epoch[2] Batch [11650] Speed: 10.86 samples/sec Train-Accuracy=0.704286
2016-09-23 22:16:06,342 Epoch[2] Batch [11700] Speed: 10.83 samples/sec Train-Accuracy=0.667143
2016-09-23 22:16:43,188 Epoch[2] Batch [11750] Speed: 10.86 samples/sec Train-Accuracy=0.692857
2016-09-23 22:17:20,049 Epoch[2] Batch [11800] Speed: 10.85 samples/sec Train-Accuracy=0.671429
2016-09-23 22:17:56,868 Epoch[2] Batch [11850] Speed: 10.86 samples/sec Train-Accuracy=0.687143
2016-09-23 22:18:33,855 Epoch[2] Batch [11900] Speed: 10.81 samples/sec Train-Accuracy=0.674286
2016-09-23 22:19:10,808 Epoch[2] Batch [11950] Speed: 10.82 samples/sec Train-Accuracy=0.698571
2016-09-23 22:19:47,767 Epoch[2] Batch [12000] Speed: 10.82 samples/sec Train-Accuracy=0.690000
2016-09-23 22:20:24,713 Epoch[2] Batch [12050] Speed: 10.83 samples/sec Train-Accuracy=0.688571
2016-09-23 22:21:01,711 Epoch[2] Batch [12100] Speed: 10.81 samples/sec Train-Accuracy=0.684286
2016-09-23 22:21:38,638 Epoch[2] Batch [12150] Speed: 10.83 samples/sec Train-Accuracy=0.730000
2016-09-23 22:22:15,492 Epoch[2] Batch [12200] Speed: 10.85 samples/sec Train-Accuracy=0.708571
2016-09-23 22:22:52,311 Epoch[2] Batch [12250] Speed: 10.86 samples/sec Train-Accuracy=0.712857
2016-09-23 22:23:29,218 Epoch[2] Batch [12300] Speed: 10.84 samples/sec Train-Accuracy=0.694286
2016-09-23 22:24:06,176 Epoch[2] Batch [12350] Speed: 10.82 samples/sec Train-Accuracy=0.681429
2016-09-23 22:24:43,070 Epoch[2] Batch [12400] Speed: 10.84 samples/sec Train-Accuracy=0.711429
2016-09-23 22:25:19,922 Epoch[2] Batch [12450] Speed: 10.85 samples/sec Train-Accuracy=0.682857
2016-09-23 22:25:57,044 Epoch[2] Batch [12500] Speed: 10.78 samples/sec Train-Accuracy=0.691429
2016-09-23 22:26:34,655 Epoch[2] Batch [12550] Speed: 10.64 samples/sec Train-Accuracy=0.677143
2016-09-23 22:27:13,178 Epoch[2] Batch [12600] Speed: 10.38 samples/sec Train-Accuracy=0.682857
2016-09-23 22:27:51,440 Epoch[2] Batch [12650] Speed: 10.45 samples/sec Train-Accuracy=0.720000
2016-09-23 22:28:29,895 Epoch[2] Batch [12700] Speed: 10.40 samples/sec Train-Accuracy=0.687143
2016-09-23 22:29:07,361 Epoch[2] Batch [12750] Speed: 10.68 samples/sec Train-Accuracy=0.681429
2016-09-23 22:29:44,197 Epoch[2] Batch [12800] Speed: 10.86 samples/sec Train-Accuracy=0.705714
2016-09-23 22:30:20,898 Epoch[2] Batch [12850] Speed: 10.90 samples/sec Train-Accuracy=0.681429
2016-09-23 22:30:57,676 Epoch[2] Batch [12900] Speed: 10.88 samples/sec Train-Accuracy=0.675714
2016-09-23 22:31:34,477 Epoch[2] Batch [12950] Speed: 10.87 samples/sec Train-Accuracy=0.710000
2016-09-23 22:32:11,654 Epoch[2] Batch [13000] Speed: 10.76 samples/sec Train-Accuracy=0.688571
2016-09-23 22:32:48,621 Epoch[2] Batch [13050] Speed: 10.82 samples/sec Train-Accuracy=0.675714
2016-09-23 22:33:25,445 Epoch[2] Batch [13100] Speed: 10.86 samples/sec Train-Accuracy=0.671429
2016-09-23 22:34:02,518 Epoch[2] Batch [13150] Speed: 10.79 samples/sec Train-Accuracy=0.694286
2016-09-23 22:34:39,461 Epoch[2] Batch [13200] Speed: 10.83 samples/sec Train-Accuracy=0.715714
2016-09-23 22:35:18,420 Epoch[2] Batch [13250] Speed: 10.27 samples/sec Train-Accuracy=0.681429
2016-09-23 22:35:56,457 Epoch[2] Batch [13300] Speed: 10.52 samples/sec Train-Accuracy=0.650000
2016-09-23 22:36:33,913 Epoch[2] Batch [13350] Speed: 10.68 samples/sec Train-Accuracy=0.702857
2016-09-23 22:37:11,018 Epoch[2] Batch [13400] Speed: 10.78 samples/sec Train-Accuracy=0.718571
2016-09-23 22:37:48,270 Epoch[2] Batch [13450] Speed: 10.74 samples/sec Train-Accuracy=0.674286
2016-09-23 22:38:25,599 Epoch[2] Batch [13500] Speed: 10.72 samples/sec Train-Accuracy=0.680000
2016-09-23 22:39:02,683 Epoch[2] Batch [13550] Speed: 10.79 samples/sec Train-Accuracy=0.671429
2016-09-23 22:39:39,836 Epoch[2] Batch [13600] Speed: 10.77 samples/sec Train-Accuracy=0.685714
2016-09-23 22:40:19,766 Epoch[2] Batch [13650] Speed: 10.02 samples/sec Train-Accuracy=0.704286
2016-09-23 22:40:56,969 Epoch[2] Batch [13700] Speed: 10.75 samples/sec Train-Accuracy=0.682857
2016-09-23 22:41:34,062 Epoch[2] Batch [13750] Speed: 10.78 samples/sec Train-Accuracy=0.688571
2016-09-23 22:42:11,162 Epoch[2] Batch [13800] Speed: 10.78 samples/sec Train-Accuracy=0.678571
2016-09-23 22:42:48,226 Epoch[2] Batch [13850] Speed: 10.79 samples/sec Train-Accuracy=0.671429
2016-09-23 22:43:26,791 Epoch[2] Batch [13900] Speed: 10.37 samples/sec Train-Accuracy=0.697143
2016-09-23 22:44:06,471 Epoch[2] Batch [13950] Speed: 10.08 samples/sec Train-Accuracy=0.658571
2016-09-23 22:44:44,785 Epoch[2] Batch [14000] Speed: 10.44 samples/sec Train-Accuracy=0.682857
2016-09-23 22:45:21,690 Epoch[2] Batch [14050] Speed: 10.84 samples/sec Train-Accuracy=0.711429
2016-09-23 22:46:00,412 Epoch[2] Batch [14100] Speed: 10.33 samples/sec Train-Accuracy=0.680000
2016-09-23 22:46:37,530 Epoch[2] Batch [14150] Speed: 10.78 samples/sec Train-Accuracy=0.665714
2016-09-23 22:47:16,100 Epoch[2] Batch [14200] Speed: 10.37 samples/sec Train-Accuracy=0.665714
2016-09-23 22:47:54,065 Epoch[2] Batch [14250] Speed: 10.54 samples/sec Train-Accuracy=0.661429
2016-09-23 22:48:32,706 Epoch[2] Batch [14300] Speed: 10.35 samples/sec Train-Accuracy=0.648571
2016-09-23 22:49:10,145 Epoch[2] Batch [14350] Speed: 10.68 samples/sec Train-Accuracy=0.677143
2016-09-23 22:49:49,449 Epoch[2] Batch [14400] Speed: 10.18 samples/sec Train-Accuracy=0.684286
2016-09-23 22:50:29,202 Epoch[2] Batch [14450] Speed: 10.06 samples/sec Train-Accuracy=0.672857
2016-09-23 22:51:09,082 Epoch[2] Batch [14500] Speed: 10.03 samples/sec Train-Accuracy=0.694286
2016-09-23 22:51:48,188 Epoch[2] Batch [14550] Speed: 10.23 samples/sec Train-Accuracy=0.680000
2016-09-23 22:52:26,833 Epoch[2] Batch [14600] Speed: 10.35 samples/sec Train-Accuracy=0.685714
2016-09-23 22:53:04,872 Epoch[2] Batch [14650] Speed: 10.52 samples/sec Train-Accuracy=0.661429
2016-09-23 22:53:42,565 Epoch[2] Batch [14700] Speed: 10.61 samples/sec Train-Accuracy=0.647143
2016-09-23 22:54:20,614 Epoch[2] Batch [14750] Speed: 10.51 samples/sec Train-Accuracy=0.664286
2016-09-23 22:54:58,835 Epoch[2] Batch [14800] Speed: 10.47 samples/sec Train-Accuracy=0.664286
2016-09-23 22:55:36,630 Epoch[2] Batch [14850] Speed: 10.58 samples/sec Train-Accuracy=0.670000
2016-09-23 22:56:15,291 Epoch[2] Batch [14900] Speed: 10.35 samples/sec Train-Accuracy=0.692857
2016-09-23 22:56:54,156 Epoch[2] Batch [14950] Speed: 10.29 samples/sec Train-Accuracy=0.675714
2016-09-23 22:57:33,516 Epoch[2] Batch [15000] Speed: 10.16 samples/sec Train-Accuracy=0.660000
2016-09-23 22:58:12,761 Epoch[2] Batch [15050] Speed: 10.19 samples/sec Train-Accuracy=0.657143
2016-09-23 22:58:52,429 Epoch[2] Batch [15100] Speed: 10.08 samples/sec Train-Accuracy=0.708571
2016-09-23 22:59:31,700 Epoch[2] Batch [15150] Speed: 10.19 samples/sec Train-Accuracy=0.701429
2016-09-23 23:00:11,042 Epoch[2] Batch [15200] Speed: 10.17 samples/sec Train-Accuracy=0.690000
2016-09-23 23:00:50,979 Epoch[2] Batch [15250] Speed: 10.02 samples/sec Train-Accuracy=0.694286
2016-09-23 23:01:30,208 Epoch[2] Batch [15300] Speed: 10.20 samples/sec Train-Accuracy=0.714286
2016-09-23 23:02:09,341 Epoch[2] Batch [15350] Speed: 10.22 samples/sec Train-Accuracy=0.678571
2016-09-23 23:02:48,318 Epoch[2] Batch [15400] Speed: 10.26 samples/sec Train-Accuracy=0.682857
2016-09-23 23:03:26,921 Epoch[2] Batch [15450] Speed: 10.36 samples/sec Train-Accuracy=0.680000
2016-09-23 23:04:07,194 Epoch[2] Batch [15500] Speed: 9.93 samples/sec Train-Accuracy=0.684286
2016-09-23 23:04:47,243 Epoch[2] Batch [15550] Speed: 9.99 samples/sec Train-Accuracy=0.678571
2016-09-23 23:05:26,522 Epoch[2] Batch [15600] Speed: 10.18 samples/sec Train-Accuracy=0.700000
2016-09-23 23:06:04,573 Epoch[2] Batch [15650] Speed: 10.51 samples/sec Train-Accuracy=0.712857
2016-09-23 23:06:42,502 Epoch[2] Batch [15700] Speed: 10.55 samples/sec Train-Accuracy=0.665714
2016-09-23 23:07:20,625 Epoch[2] Batch [15750] Speed: 10.49 samples/sec Train-Accuracy=0.672857
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2016-09-23 23:10:30,602 Epoch[2] Batch [16000] Speed: 10.50 samples/sec Train-Accuracy=0.667143
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2016-09-23 23:13:04,629 Epoch[2] Batch [16200] Speed: 10.58 samples/sec Train-Accuracy=0.724286
2016-09-23 23:13:42,890 Epoch[2] Batch [16250] Speed: 10.45 samples/sec Train-Accuracy=0.688571
2016-09-23 23:14:20,468 Epoch[2] Batch [16300] Speed: 10.64 samples/sec Train-Accuracy=0.728571
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2016-09-23 23:15:39,729 Epoch[2] Batch [16400] Speed: 10.03 samples/sec Train-Accuracy=0.687143
2016-09-23 23:16:21,104 Epoch[2] Batch [16450] Speed: 9.67 samples/sec Train-Accuracy=0.691429
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2016-09-23 23:18:18,133 Epoch[2] Batch [16600] Speed: 10.21 samples/sec Train-Accuracy=0.681429
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2016-09-23 23:19:34,475 Epoch[2] Batch [16700] Speed: 10.55 samples/sec Train-Accuracy=0.684286
2016-09-23 23:20:11,723 Epoch[2] Batch [16750] Speed: 10.74 samples/sec Train-Accuracy=0.688571
2016-09-23 23:20:49,323 Epoch[2] Batch [16800] Speed: 10.64 samples/sec Train-Accuracy=0.704286
2016-09-23 23:21:26,834 Epoch[2] Batch [16850] Speed: 10.66 samples/sec Train-Accuracy=0.711429
2016-09-23 23:22:06,680 Epoch[2] Batch [16900] Speed: 10.04 samples/sec Train-Accuracy=0.684286
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2016-09-23 23:23:19,500 Epoch[2] Batch [17000] Speed: 11.04 samples/sec Train-Accuracy=0.668571
2016-09-23 23:23:55,827 Epoch[2] Batch [17050] Speed: 11.01 samples/sec Train-Accuracy=0.677143
2016-09-23 23:24:32,504 Epoch[2] Batch [17100] Speed: 10.91 samples/sec Train-Accuracy=0.678571
2016-09-23 23:25:08,795 Epoch[2] Batch [17150] Speed: 11.02 samples/sec Train-Accuracy=0.685714
2016-09-23 23:25:45,274 Epoch[2] Batch [17200] Speed: 10.97 samples/sec Train-Accuracy=0.685714
2016-09-23 23:26:21,793 Epoch[2] Batch [17250] Speed: 10.95 samples/sec Train-Accuracy=0.635714
2016-09-23 23:26:58,203 Epoch[2] Batch [17300] Speed: 10.99 samples/sec Train-Accuracy=0.710000
2016-09-23 23:27:34,600 Epoch[2] Batch [17350] Speed: 10.99 samples/sec Train-Accuracy=0.694286
2016-09-23 23:28:11,321 Epoch[2] Batch [17400] Speed: 10.89 samples/sec Train-Accuracy=0.661429
2016-09-23 23:28:47,473 Epoch[2] Batch [17450] Speed: 11.06 samples/sec Train-Accuracy=0.694286
2016-09-23 23:29:23,799 Epoch[2] Batch [17500] Speed: 11.01 samples/sec Train-Accuracy=0.695714
2016-09-23 23:30:00,264 Epoch[2] Batch [17550] Speed: 10.97 samples/sec Train-Accuracy=0.705714
2016-09-23 23:30:36,901 Epoch[2] Batch [17600] Speed: 10.92 samples/sec Train-Accuracy=0.731429
2016-09-23 23:31:13,596 Epoch[2] Batch [17650] Speed: 10.90 samples/sec Train-Accuracy=0.692857
2016-09-23 23:31:50,197 Epoch[2] Batch [17700] Speed: 10.93 samples/sec Train-Accuracy=0.652857
2016-09-23 23:32:26,468 Epoch[2] Batch [17750] Speed: 11.03 samples/sec Train-Accuracy=0.710000
2016-09-23 23:33:03,341 Epoch[2] Batch [17800] Speed: 10.85 samples/sec Train-Accuracy=0.692857
2016-09-23 23:33:42,701 Epoch[2] Batch [17850] Speed: 10.16 samples/sec Train-Accuracy=0.664286
2016-09-23 23:34:19,544 Epoch[2] Batch [17900] Speed: 10.86 samples/sec Train-Accuracy=0.737143
2016-09-23 23:34:59,455 Epoch[2] Batch [17950] Speed: 10.02 samples/sec Train-Accuracy=0.690000
2016-09-23 23:35:39,131 Epoch[2] Batch [18000] Speed: 10.08 samples/sec Train-Accuracy=0.680000
2016-09-23 23:36:19,568 Epoch[2] Batch [18050] Speed: 9.89 samples/sec Train-Accuracy=0.654286
2016-09-23 23:36:59,681 Epoch[2] Batch [18100] Speed: 9.97 samples/sec Train-Accuracy=0.697143
2016-09-23 23:37:39,709 Epoch[2] Batch [18150] Speed: 9.99 samples/sec Train-Accuracy=0.681429
2016-09-23 23:38:17,308 Epoch[2] Batch [18200] Speed: 10.64 samples/sec Train-Accuracy=0.730000
2016-09-23 23:38:54,757 Epoch[2] Batch [18250] Speed: 10.68 samples/sec Train-Accuracy=0.681429
2016-09-23 23:39:32,086 Epoch[2] Batch [18300] Speed: 10.72 samples/sec Train-Accuracy=0.681429
2016-09-23 23:40:09,410 Epoch[2] Batch [18350] Speed: 10.72 samples/sec Train-Accuracy=0.652857
2016-09-23 23:40:46,666 Epoch[2] Batch [18400] Speed: 10.74 samples/sec Train-Accuracy=0.688571
2016-09-23 23:41:25,983 Epoch[2] Batch [18450] Speed: 10.17 samples/sec Train-Accuracy=0.684286
2016-09-23 23:42:05,604 Epoch[2] Batch [18500] Speed: 10.10 samples/sec Train-Accuracy=0.667143
2016-09-23 23:42:45,149 Epoch[2] Batch [18550] Speed: 10.12 samples/sec Train-Accuracy=0.741429
2016-09-23 23:43:23,954 Epoch[2] Batch [18600] Speed: 10.31 samples/sec Train-Accuracy=0.704286
2016-09-23 23:44:02,084 Epoch[2] Batch [18650] Speed: 10.49 samples/sec Train-Accuracy=0.708571
2016-09-23 23:44:39,706 Epoch[2] Batch [18700] Speed: 10.63 samples/sec Train-Accuracy=0.707143
2016-09-23 23:45:16,395 Epoch[2] Batch [18750] Speed: 10.90 samples/sec Train-Accuracy=0.687143
2016-09-23 23:46:00,434 Epoch[2] Batch [18800] Speed: 9.08 samples/sec Train-Accuracy=0.692857
2016-09-23 23:46:39,397 Epoch[2] Batch [18850] Speed: 10.27 samples/sec Train-Accuracy=0.692857
2016-09-23 23:47:15,592 Epoch[2] Batch [18900] Speed: 11.05 samples/sec Train-Accuracy=0.687143
2016-09-23 23:47:51,702 Epoch[2] Batch [18950] Speed: 11.08 samples/sec Train-Accuracy=0.711429
2016-09-23 23:48:27,756 Epoch[2] Batch [19000] Speed: 11.09 samples/sec Train-Accuracy=0.701429
2016-09-23 23:49:03,779 Epoch[2] Batch [19050] Speed: 11.10 samples/sec Train-Accuracy=0.698571
2016-09-23 23:49:39,909 Epoch[2] Batch [19100] Speed: 11.07 samples/sec Train-Accuracy=0.720000
2016-09-23 23:50:16,056 Epoch[2] Batch [19150] Speed: 11.07 samples/sec Train-Accuracy=0.692857
2016-09-23 23:50:52,234 Epoch[2] Batch [19200] Speed: 11.06 samples/sec Train-Accuracy=0.674286
2016-09-23 23:51:29,184 Epoch[2] Batch [19250] Speed: 10.83 samples/sec Train-Accuracy=0.672857
2016-09-23 23:52:06,681 Epoch[2] Batch [19300] Speed: 10.67 samples/sec Train-Accuracy=0.681429
2016-09-23 23:52:44,080 Epoch[2] Batch [19350] Speed: 10.70 samples/sec Train-Accuracy=0.671429
2016-09-23 23:53:21,292 Epoch[2] Batch [19400] Speed: 10.75 samples/sec Train-Accuracy=0.675714
2016-09-23 23:53:57,671 Epoch[2] Batch [19450] Speed: 11.00 samples/sec Train-Accuracy=0.705714
2016-09-23 23:54:33,922 Epoch[2] Batch [19500] Speed: 11.03 samples/sec Train-Accuracy=0.735714
2016-09-23 23:55:10,075 Epoch[2] Batch [19550] Speed: 11.06 samples/sec Train-Accuracy=0.684286
2016-09-23 23:55:46,215 Epoch[2] Batch [19600] Speed: 11.07 samples/sec Train-Accuracy=0.724286
2016-09-23 23:56:22,350 Epoch[2] Batch [19650] Speed: 11.07 samples/sec Train-Accuracy=0.704286
2016-09-23 23:56:58,472 Epoch[2] Batch [19700] Speed: 11.07 samples/sec Train-Accuracy=0.714286
2016-09-23 23:57:34,633 Epoch[2] Batch [19750] Speed: 11.06 samples/sec Train-Accuracy=0.687143
2016-09-23 23:58:10,895 Epoch[2] Batch [19800] Speed: 11.03 samples/sec Train-Accuracy=0.671429
2016-09-23 23:58:47,188 Epoch[2] Batch [19850] Speed: 11.02 samples/sec Train-Accuracy=0.728571
2016-09-23 23:59:23,592 Epoch[2] Batch [19900] Speed: 10.99 samples/sec Train-Accuracy=0.711429
2016-09-23 23:59:59,690 Epoch[2] Batch [19950] Speed: 11.08 samples/sec Train-Accuracy=0.658571
2016-09-24 00:00:35,803 Epoch[2] Batch [20000] Speed: 11.08 samples/sec Train-Accuracy=0.678571
2016-09-24 00:01:12,310 Epoch[2] Batch [20050] Speed: 10.96 samples/sec Train-Accuracy=0.707143
2016-09-24 00:01:49,122 Epoch[2] Batch [20100] Speed: 10.87 samples/sec Train-Accuracy=0.668571
2016-09-24 00:02:25,476 Epoch[2] Batch [20150] Speed: 11.00 samples/sec Train-Accuracy=0.691429
2016-09-24 00:03:01,606 Epoch[2] Batch [20200] Speed: 11.07 samples/sec Train-Accuracy=0.715714
2016-09-24 00:03:37,687 Epoch[2] Batch [20250] Speed: 11.09 samples/sec Train-Accuracy=0.698571
2016-09-24 00:04:13,823 Epoch[2] Batch [20300] Speed: 11.07 samples/sec Train-Accuracy=0.697143
2016-09-24 00:04:50,003 Epoch[2] Batch [20350] Speed: 11.06 samples/sec Train-Accuracy=0.665714
2016-09-24 00:05:26,126 Epoch[2] Batch [20400] Speed: 11.07 samples/sec Train-Accuracy=0.675714
2016-09-24 00:06:02,916 Epoch[2] Batch [20450] Speed: 10.87 samples/sec Train-Accuracy=0.711429
2016-09-24 00:06:39,316 Epoch[2] Batch [20500] Speed: 10.99 samples/sec Train-Accuracy=0.728571
2016-09-24 00:07:15,455 Epoch[2] Batch [20550] Speed: 11.07 samples/sec Train-Accuracy=0.718571
2016-09-24 00:07:51,630 Epoch[2] Batch [20600] Speed: 11.06 samples/sec Train-Accuracy=0.678571
2016-09-24 00:08:27,814 Epoch[2] Batch [20650] Speed: 11.05 samples/sec Train-Accuracy=0.692857
2016-09-24 00:09:06,247 Epoch[2] Batch [20700] Speed: 10.41 samples/sec Train-Accuracy=0.674286
2016-09-24 00:09:46,053 Epoch[2] Batch [20750] Speed: 10.05 samples/sec Train-Accuracy=0.698571
2016-09-24 00:10:22,649 Epoch[2] Batch [20800] Speed: 10.93 samples/sec Train-Accuracy=0.691429
2016-09-24 00:10:59,437 Epoch[2] Batch [20850] Speed: 10.87 samples/sec Train-Accuracy=0.691429
2016-09-24 00:11:37,589 Epoch[2] Batch [20900] Speed: 10.48 samples/sec Train-Accuracy=0.691429
2016-09-24 00:12:15,712 Epoch[2] Batch [20950] Speed: 10.49 samples/sec Train-Accuracy=0.700000
2016-09-24 00:12:53,466 Epoch[2] Batch [21000] Speed: 10.60 samples/sec Train-Accuracy=0.692857
2016-09-24 00:13:31,289 Epoch[2] Batch [21050] Speed: 10.58 samples/sec Train-Accuracy=0.714286
2016-09-24 00:14:08,731 Epoch[2] Batch [21100] Speed: 10.68 samples/sec Train-Accuracy=0.687143
2016-09-24 00:14:45,439 Epoch[2] Batch [21150] Speed: 10.90 samples/sec Train-Accuracy=0.721429
2016-09-24 00:15:21,578 Epoch[2] Batch [21200] Speed: 11.07 samples/sec Train-Accuracy=0.687143
2016-09-24 00:15:57,745 Epoch[2] Batch [21250] Speed: 11.06 samples/sec Train-Accuracy=0.698571
2016-09-24 00:16:34,556 Epoch[2] Batch [21300] Speed: 10.87 samples/sec Train-Accuracy=0.687143
2016-09-24 00:17:16,561 Epoch[2] Batch [21350] Speed: 9.52 samples/sec Train-Accuracy=0.727143
2016-09-24 00:17:57,076 Epoch[2] Batch [21400] Speed: 9.87 samples/sec Train-Accuracy=0.695714
2016-09-24 00:18:33,174 Epoch[2] Batch [21450] Speed: 11.08 samples/sec Train-Accuracy=0.711429
2016-09-24 00:19:09,270 Epoch[2] Batch [21500] Speed: 11.08 samples/sec Train-Accuracy=0.700000
2016-09-24 00:19:45,496 Epoch[2] Batch [21550] Speed: 11.04 samples/sec Train-Accuracy=0.697143
2016-09-24 00:20:21,693 Epoch[2] Batch [21600] Speed: 11.05 samples/sec Train-Accuracy=0.691429
2016-09-24 00:20:57,851 Epoch[2] Batch [21650] Speed: 11.06 samples/sec Train-Accuracy=0.698571
2016-09-24 00:21:34,052 Epoch[2] Batch [21700] Speed: 11.05 samples/sec Train-Accuracy=0.702857
2016-09-24 00:22:10,250 Epoch[2] Batch [21750] Speed: 11.05 samples/sec Train-Accuracy=0.675714
2016-09-24 00:22:46,420 Epoch[2] Batch [21800] Speed: 11.06 samples/sec Train-Accuracy=0.705714
2016-09-24 00:23:22,544 Epoch[2] Batch [21850] Speed: 11.07 samples/sec Train-Accuracy=0.724286
2016-09-24 00:23:58,664 Epoch[2] Batch [21900] Speed: 11.07 samples/sec Train-Accuracy=0.700000
2016-09-24 00:24:34,868 Epoch[2] Batch [21950] Speed: 11.05 samples/sec Train-Accuracy=0.727143
2016-09-24 00:25:11,091 Epoch[2] Batch [22000] Speed: 11.04 samples/sec Train-Accuracy=0.690000
2016-09-24 00:25:47,252 Epoch[2] Batch [22050] Speed: 11.06 samples/sec Train-Accuracy=0.728571
2016-09-24 00:26:23,563 Epoch[2] Batch [22100] Speed: 11.02 samples/sec Train-Accuracy=0.688571
2016-09-24 00:26:59,913 Epoch[2] Batch [22150] Speed: 11.00 samples/sec Train-Accuracy=0.698571
2016-09-24 00:27:36,220 Epoch[2] Batch [22200] Speed: 11.02 samples/sec Train-Accuracy=0.678571
2016-09-24 00:28:12,638 Epoch[2] Batch [22250] Speed: 10.98 samples/sec Train-Accuracy=0.718571
2016-09-24 00:28:49,075 Epoch[2] Batch [22300] Speed: 10.98 samples/sec Train-Accuracy=0.681429
2016-09-24 00:29:26,769 Epoch[2] Batch [22350] Speed: 10.61 samples/sec Train-Accuracy=0.691429
2016-09-24 00:30:04,514 Epoch[2] Batch [22400] Speed: 10.60 samples/sec Train-Accuracy=0.682857
2016-09-24 00:30:42,354 Epoch[2] Batch [22450] Speed: 10.57 samples/sec Train-Accuracy=0.722857
2016-09-24 00:31:20,132 Epoch[2] Batch [22500] Speed: 10.59 samples/sec Train-Accuracy=0.694286
2016-09-24 00:31:58,005 Epoch[2] Batch [22550] Speed: 10.56 samples/sec Train-Accuracy=0.680000
2016-09-24 00:32:35,737 Epoch[2] Batch [22600] Speed: 10.60 samples/sec Train-Accuracy=0.702857
2016-09-24 00:33:13,382 Epoch[2] Batch [22650] Speed: 10.63 samples/sec Train-Accuracy=0.730000
2016-09-24 00:33:51,223 Epoch[2] Batch [22700] Speed: 10.57 samples/sec Train-Accuracy=0.711429
2016-09-24 00:34:28,898 Epoch[2] Batch [22750] Speed: 10.62 samples/sec Train-Accuracy=0.731429
2016-09-24 00:35:05,951 Epoch[2] Batch [22800] Speed: 10.80 samples/sec Train-Accuracy=0.712857
2016-09-24 00:35:43,280 Epoch[2] Batch [22850] Speed: 10.72 samples/sec Train-Accuracy=0.680000
2016-09-24 00:36:20,924 Epoch[2] Batch [22900] Speed: 10.63 samples/sec Train-Accuracy=0.674286
2016-09-24 00:36:57,974 Epoch[2] Batch [22950] Speed: 10.80 samples/sec Train-Accuracy=0.665714
2016-09-24 00:37:34,780 Epoch[2] Batch [23000] Speed: 10.87 samples/sec Train-Accuracy=0.695714
2016-09-24 00:38:10,918 Epoch[2] Batch [23050] Speed: 11.07 samples/sec Train-Accuracy=0.707143
2016-09-24 00:38:47,281 Epoch[2] Batch [23100] Speed: 11.00 samples/sec Train-Accuracy=0.670000
2016-09-24 00:39:23,355 Epoch[2] Batch [23150] Speed: 11.09 samples/sec Train-Accuracy=0.714286
2016-09-24 00:39:59,463 Epoch[2] Batch [23200] Speed: 11.08 samples/sec Train-Accuracy=0.728571
2016-09-24 00:40:35,778 Epoch[2] Batch [23250] Speed: 11.01 samples/sec Train-Accuracy=0.702857
2016-09-24 00:41:12,047 Epoch[2] Batch [23300] Speed: 11.03 samples/sec Train-Accuracy=0.701429
2016-09-24 00:41:48,292 Epoch[2] Batch [23350] Speed: 11.04 samples/sec Train-Accuracy=0.682857
2016-09-24 00:42:24,504 Epoch[2] Batch [23400] Speed: 11.05 samples/sec Train-Accuracy=0.725714
2016-09-24 00:43:02,536 Epoch[2] Batch [23450] Speed: 10.52 samples/sec Train-Accuracy=0.698571
2016-09-24 00:43:39,232 Epoch[2] Batch [23500] Speed: 10.90 samples/sec Train-Accuracy=0.680000
2016-09-24 00:44:15,406 Epoch[2] Batch [23550] Speed: 11.06 samples/sec Train-Accuracy=0.681429
2016-09-24 00:44:51,597 Epoch[2] Batch [23600] Speed: 11.05 samples/sec Train-Accuracy=0.714286
2016-09-24 00:45:27,787 Epoch[2] Batch [23650] Speed: 11.05 samples/sec Train-Accuracy=0.708571
2016-09-24 00:46:03,954 Epoch[2] Batch [23700] Speed: 11.06 samples/sec Train-Accuracy=0.691429
2016-09-24 00:46:40,037 Epoch[2] Batch [23750] Speed: 11.09 samples/sec Train-Accuracy=0.714286
2016-09-24 00:47:16,147 Epoch[2] Batch [23800] Speed: 11.08 samples/sec Train-Accuracy=0.701429
2016-09-24 00:47:52,212 Epoch[2] Batch [23850] Speed: 11.09 samples/sec Train-Accuracy=0.707143
2016-09-24 00:48:28,281 Epoch[2] Batch [23900] Speed: 11.09 samples/sec Train-Accuracy=0.690000
2016-09-24 00:49:04,362 Epoch[2] Batch [23950] Speed: 11.09 samples/sec Train-Accuracy=0.711429
2016-09-24 00:49:40,716 Epoch[2] Batch [24000] Speed: 11.00 samples/sec Train-Accuracy=0.698571
2016-09-24 00:50:16,954 Epoch[2] Batch [24050] Speed: 11.04 samples/sec Train-Accuracy=0.697143
2016-09-24 00:50:57,968 Epoch[2] Batch [24100] Speed: 9.75 samples/sec Train-Accuracy=0.684286
2016-09-24 00:51:39,847 Epoch[2] Batch [24150] Speed: 9.55 samples/sec Train-Accuracy=0.714286
2016-09-24 00:52:19,252 Epoch[2] Batch [24200] Speed: 10.15 samples/sec Train-Accuracy=0.694286
2016-09-24 00:52:55,455 Epoch[2] Batch [24250] Speed: 11.05 samples/sec Train-Accuracy=0.684286
2016-09-24 00:53:31,699 Epoch[2] Batch [24300] Speed: 11.04 samples/sec Train-Accuracy=0.688571
2016-09-24 00:54:07,915 Epoch[2] Batch [24350] Speed: 11.04 samples/sec Train-Accuracy=0.708571
2016-09-24 00:54:44,102 Epoch[2] Batch [24400] Speed: 11.05 samples/sec Train-Accuracy=0.714286
2016-09-24 00:55:20,266 Epoch[2] Batch [24450] Speed: 11.06 samples/sec Train-Accuracy=0.707143
2016-09-24 00:55:59,581 Epoch[2] Batch [24500] Speed: 10.17 samples/sec Train-Accuracy=0.701429
2016-09-24 00:56:36,407 Epoch[2] Batch [24550] Speed: 10.86 samples/sec Train-Accuracy=0.667143
2016-09-24 00:57:16,538 Epoch[2] Batch [24600] Speed: 9.97 samples/sec Train-Accuracy=0.728571
2016-09-24 00:57:57,674 Epoch[2] Batch [24650] Speed: 9.72 samples/sec Train-Accuracy=0.708571
2016-09-24 00:58:38,630 Epoch[2] Batch [24700] Speed: 9.77 samples/sec Train-Accuracy=0.685714
2016-09-24 00:59:19,055 Epoch[2] Batch [24750] Speed: 9.89 samples/sec Train-Accuracy=0.712857
2016-09-24 00:59:59,218 Epoch[2] Batch [24800] Speed: 9.96 samples/sec Train-Accuracy=0.685714
2016-09-24 01:00:37,933 Epoch[2] Batch [24850] Speed: 10.33 samples/sec Train-Accuracy=0.692857
2016-09-24 01:01:14,305 Epoch[2] Batch [24900] Speed: 11.00 samples/sec Train-Accuracy=0.714286
2016-09-24 01:01:50,475 Epoch[2] Batch [24950] Speed: 11.06 samples/sec Train-Accuracy=0.697143
2016-09-24 01:02:26,680 Epoch[2] Batch [25000] Speed: 11.05 samples/sec Train-Accuracy=0.667143
2016-09-24 01:03:02,938 Epoch[2] Batch [25050] Speed: 11.03 samples/sec Train-Accuracy=0.700000
2016-09-24 01:03:39,285 Epoch[2] Batch [25100] Speed: 11.00 samples/sec Train-Accuracy=0.705714
2016-09-24 01:04:15,560 Epoch[2] Batch [25150] Speed: 11.03 samples/sec Train-Accuracy=0.704286
2016-09-24 01:04:51,822 Epoch[2] Batch [25200] Speed: 11.03 samples/sec Train-Accuracy=0.697143
2016-09-24 01:05:28,024 Epoch[2] Batch [25250] Speed: 11.05 samples/sec Train-Accuracy=0.687143
2016-09-24 01:06:04,360 Epoch[2] Batch [25300] Speed: 11.01 samples/sec Train-Accuracy=0.690000
2016-09-24 01:06:40,969 Epoch[2] Batch [25350] Speed: 10.93 samples/sec Train-Accuracy=0.710000
2016-09-24 01:07:17,215 Epoch[2] Batch [25400] Speed: 11.04 samples/sec Train-Accuracy=0.694286
2016-09-24 01:07:53,444 Epoch[2] Batch [25450] Speed: 11.04 samples/sec Train-Accuracy=0.720000
2016-09-24 01:08:29,631 Epoch[2] Batch [25500] Speed: 11.05 samples/sec Train-Accuracy=0.690000
2016-09-24 01:09:05,804 Epoch[2] Batch [25550] Speed: 11.06 samples/sec Train-Accuracy=0.721429
2016-09-24 01:09:42,026 Epoch[2] Batch [25600] Speed: 11.04 samples/sec Train-Accuracy=0.734286
2016-09-24 01:10:18,382 Epoch[2] Batch [25650] Speed: 11.00 samples/sec Train-Accuracy=0.708571
2016-09-24 01:10:54,884 Epoch[2] Batch [25700] Speed: 10.96 samples/sec Train-Accuracy=0.694286
2016-09-24 01:11:31,607 Epoch[2] Batch [25750] Speed: 10.89 samples/sec Train-Accuracy=0.712857
2016-09-24 01:12:07,949 Epoch[2] Batch [25800] Speed: 11.01 samples/sec Train-Accuracy=0.698571
2016-09-24 01:12:44,169 Epoch[2] Batch [25850] Speed: 11.04 samples/sec Train-Accuracy=0.671429
2016-09-24 01:13:20,660 Epoch[2] Batch [25900] Speed: 10.96 samples/sec Train-Accuracy=0.675714
2016-09-24 01:13:57,654 Epoch[2] Batch [25950] Speed: 10.81 samples/sec Train-Accuracy=0.690000
2016-09-24 01:14:35,575 Epoch[2] Batch [26000] Speed: 10.55 samples/sec Train-Accuracy=0.701429
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2016-09-24 01:15:51,861 Epoch[2] Batch [26100] Speed: 10.36 samples/sec Train-Accuracy=0.651429
2016-09-24 01:16:32,623 Epoch[2] Batch [26150] Speed: 9.81 samples/sec Train-Accuracy=0.702857
2016-09-24 01:17:09,851 Epoch[2] Batch [26200] Speed: 10.74 samples/sec Train-Accuracy=0.701429
2016-09-24 01:17:46,103 Epoch[2] Batch [26250] Speed: 11.03 samples/sec Train-Accuracy=0.678571
2016-09-24 01:18:22,400 Epoch[2] Batch [26300] Speed: 11.02 samples/sec Train-Accuracy=0.685714
2016-09-24 01:18:58,606 Epoch[2] Batch [26350] Speed: 11.05 samples/sec Train-Accuracy=0.700000
2016-09-24 01:19:34,812 Epoch[2] Batch [26400] Speed: 11.05 samples/sec Train-Accuracy=0.714286
2016-09-24 01:20:11,008 Epoch[2] Batch [26450] Speed: 11.05 samples/sec Train-Accuracy=0.704286
2016-09-24 01:20:47,826 Epoch[2] Batch [26500] Speed: 10.86 samples/sec Train-Accuracy=0.714286
2016-09-24 01:21:25,223 Epoch[2] Batch [26550] Speed: 10.70 samples/sec Train-Accuracy=0.715714
2016-09-24 01:22:02,709 Epoch[2] Batch [26600] Speed: 10.67 samples/sec Train-Accuracy=0.714286
2016-09-24 01:22:40,072 Epoch[2] Batch [26650] Speed: 10.71 samples/sec Train-Accuracy=0.685714
2016-09-24 01:23:16,525 Epoch[2] Batch [26700] Speed: 10.97 samples/sec Train-Accuracy=0.695714
2016-09-24 01:23:52,711 Epoch[2] Batch [26750] Speed: 11.05 samples/sec Train-Accuracy=0.715714
2016-09-24 01:24:29,416 Epoch[2] Batch [26800] Speed: 10.90 samples/sec Train-Accuracy=0.727143
2016-09-24 01:25:06,693 Epoch[2] Batch [26850] Speed: 10.73 samples/sec Train-Accuracy=0.677143
2016-09-24 01:25:42,918 Epoch[2] Batch [26900] Speed: 11.04 samples/sec Train-Accuracy=0.707143
2016-09-24 01:26:21,097 Epoch[2] Batch [26950] Speed: 10.48 samples/sec Train-Accuracy=0.714286
2016-09-24 01:27:00,907 Epoch[2] Batch [27000] Speed: 10.05 samples/sec Train-Accuracy=0.694286
2016-09-24 01:27:37,141 Epoch[2] Batch [27050] Speed: 11.04 samples/sec Train-Accuracy=0.707143
2016-09-24 01:28:13,476 Epoch[2] Batch [27100] Speed: 11.01 samples/sec Train-Accuracy=0.655714
2016-09-24 01:28:49,685 Epoch[2] Batch [27150] Speed: 11.05 samples/sec Train-Accuracy=0.698571
2016-09-24 01:29:25,941 Epoch[2] Batch [27200] Speed: 11.03 samples/sec Train-Accuracy=0.717143
2016-09-24 01:30:05,525 Epoch[2] Batch [27250] Speed: 10.11 samples/sec Train-Accuracy=0.687143
2016-09-24 01:30:48,104 Epoch[2] Batch [27300] Speed: 9.39 samples/sec Train-Accuracy=0.728571
2016-09-24 01:31:28,648 Epoch[2] Batch [27350] Speed: 9.87 samples/sec Train-Accuracy=0.712857
2016-09-24 01:32:05,106 Epoch[2] Batch [27400] Speed: 10.97 samples/sec Train-Accuracy=0.690000
2016-09-24 01:32:41,404 Epoch[2] Batch [27450] Speed: 11.02 samples/sec Train-Accuracy=0.722857
2016-09-24 01:33:17,646 Epoch[2] Batch [27500] Speed: 11.04 samples/sec Train-Accuracy=0.721429
2016-09-24 01:33:53,891 Epoch[2] Batch [27550] Speed: 11.04 samples/sec Train-Accuracy=0.732857
2016-09-24 01:34:30,138 Epoch[2] Batch [27600] Speed: 11.04 samples/sec Train-Accuracy=0.710000
2016-09-24 01:35:06,408 Epoch[2] Batch [27650] Speed: 11.03 samples/sec Train-Accuracy=0.661429
2016-09-24 01:35:42,679 Epoch[2] Batch [27700] Speed: 11.03 samples/sec Train-Accuracy=0.712857
2016-09-24 01:36:19,153 Epoch[2] Batch [27750] Speed: 10.97 samples/sec Train-Accuracy=0.695714
2016-09-24 01:36:55,550 Epoch[2] Batch [27800] Speed: 10.99 samples/sec Train-Accuracy=0.711429
2016-09-24 01:37:31,783 Epoch[2] Batch [27850] Speed: 11.04 samples/sec Train-Accuracy=0.687143
2016-09-24 01:38:09,112 Epoch[2] Batch [27900] Speed: 10.72 samples/sec Train-Accuracy=0.710000
2016-09-24 01:38:51,243 Epoch[2] Batch [27950] Speed: 9.49 samples/sec Train-Accuracy=0.694286
2016-09-24 01:39:32,588 Epoch[2] Batch [28000] Speed: 9.67 samples/sec Train-Accuracy=0.675714
2016-09-24 01:40:10,045 Epoch[2] Batch [28050] Speed: 10.68 samples/sec Train-Accuracy=0.711429
2016-09-24 01:40:46,124 Epoch[2] Batch [28100] Speed: 11.09 samples/sec Train-Accuracy=0.678571
2016-09-24 01:41:28,581 Epoch[2] Batch [28150] Speed: 9.42 samples/sec Train-Accuracy=0.754286
2016-09-24 01:42:10,433 Epoch[2] Batch [28200] Speed: 9.56 samples/sec Train-Accuracy=0.727143
2016-09-24 01:42:47,801 Epoch[2] Batch [28250] Speed: 10.70 samples/sec Train-Accuracy=0.740000
2016-09-24 01:43:24,998 Epoch[2] Batch [28300] Speed: 10.75 samples/sec Train-Accuracy=0.638571
2016-09-24 01:44:04,998 Epoch[2] Batch [28350] Speed: 10.00 samples/sec Train-Accuracy=0.687143
2016-09-24 01:44:46,443 Epoch[2] Batch [28400] Speed: 9.65 samples/sec Train-Accuracy=0.678571
2016-09-24 01:45:26,940 Epoch[2] Batch [28450] Speed: 9.88 samples/sec Train-Accuracy=0.667143
2016-09-24 01:46:05,868 Epoch[2] Batch [28500] Speed: 10.28 samples/sec Train-Accuracy=0.717143
2016-09-24 01:46:44,972 Epoch[2] Batch [28550] Speed: 10.23 samples/sec Train-Accuracy=0.735714
2016-09-24 01:47:23,508 Epoch[2] Batch [28600] Speed: 10.38 samples/sec Train-Accuracy=0.710000
2016-09-24 01:48:01,973 Epoch[2] Batch [28650] Speed: 10.40 samples/sec Train-Accuracy=0.725714
2016-09-24 01:48:41,248 Epoch[2] Batch [28700] Speed: 10.18 samples/sec Train-Accuracy=0.724286
2016-09-24 01:49:22,045 Epoch[2] Batch [28750] Speed: 9.80 samples/sec Train-Accuracy=0.687143
2016-09-24 01:49:59,926 Epoch[2] Batch [28800] Speed: 10.56 samples/sec Train-Accuracy=0.694286
2016-09-24 01:50:37,396 Epoch[2] Batch [28850] Speed: 10.68 samples/sec Train-Accuracy=0.685714
2016-09-24 01:51:14,838 Epoch[2] Batch [28900] Speed: 10.68 samples/sec Train-Accuracy=0.695714
2016-09-24 01:51:52,327 Epoch[2] Batch [28950] Speed: 10.67 samples/sec Train-Accuracy=0.682857
2016-09-24 01:52:29,636 Epoch[2] Batch [29000] Speed: 10.72 samples/sec Train-Accuracy=0.700000
2016-09-24 01:53:06,990 Epoch[2] Batch [29050] Speed: 10.71 samples/sec Train-Accuracy=0.702857
2016-09-24 01:53:46,141 Epoch[2] Batch [29100] Speed: 10.22 samples/sec Train-Accuracy=0.708571
2016-09-24 01:54:23,712 Epoch[2] Batch [29150] Speed: 10.65 samples/sec Train-Accuracy=0.721429
2016-09-24 01:55:01,061 Epoch[2] Batch [29200] Speed: 10.71 samples/sec Train-Accuracy=0.711429
2016-09-24 01:55:38,998 Epoch[2] Batch [29250] Speed: 10.54 samples/sec Train-Accuracy=0.694286
2016-09-24 01:56:18,202 Epoch[2] Batch [29300] Speed: 10.20 samples/sec Train-Accuracy=0.688571
2016-09-24 01:56:55,592 Epoch[2] Batch [29350] Speed: 10.70 samples/sec Train-Accuracy=0.705714
2016-09-24 01:57:33,956 Epoch[2] Batch [29400] Speed: 10.43 samples/sec Train-Accuracy=0.691429
2016-09-24 01:58:11,594 Epoch[2] Batch [29450] Speed: 10.63 samples/sec Train-Accuracy=0.701429
2016-09-24 01:58:49,228 Epoch[2] Batch [29500] Speed: 10.63 samples/sec Train-Accuracy=0.730000
2016-09-24 01:59:26,882 Epoch[2] Batch [29550] Speed: 10.62 samples/sec Train-Accuracy=0.724286
2016-09-24 02:00:04,511 Epoch[2] Batch [29600] Speed: 10.63 samples/sec Train-Accuracy=0.701429
2016-09-24 02:00:42,093 Epoch[2] Batch [29650] Speed: 10.64 samples/sec Train-Accuracy=0.705714
2016-09-24 02:01:20,095 Epoch[2] Batch [29700] Speed: 10.53 samples/sec Train-Accuracy=0.688571
2016-09-24 02:01:57,926 Epoch[2] Batch [29750] Speed: 10.57 samples/sec Train-Accuracy=0.672857
2016-09-24 02:02:35,483 Epoch[2] Batch [29800] Speed: 10.65 samples/sec Train-Accuracy=0.690000
2016-09-24 02:03:13,163 Epoch[2] Batch [29850] Speed: 10.62 samples/sec Train-Accuracy=0.708571
2016-09-24 02:03:50,673 Epoch[2] Batch [29900] Speed: 10.66 samples/sec Train-Accuracy=0.698571
2016-09-24 02:04:28,317 Epoch[2] Batch [29950] Speed: 10.63 samples/sec Train-Accuracy=0.742857
2016-09-24 02:05:06,422 Epoch[2] Batch [30000] Speed: 10.50 samples/sec Train-Accuracy=0.712857
2016-09-24 02:05:44,586 Epoch[2] Batch [30050] Speed: 10.48 samples/sec Train-Accuracy=0.677143
2016-09-24 02:06:24,979 Epoch[2] Batch [30100] Speed: 9.90 samples/sec Train-Accuracy=0.671429
2016-09-24 02:07:05,451 Epoch[2] Batch [30150] Speed: 9.88 samples/sec Train-Accuracy=0.695714
2016-09-24 02:07:44,178 Epoch[2] Batch [30200] Speed: 10.33 samples/sec Train-Accuracy=0.724286
2016-09-24 02:08:21,802 Epoch[2] Batch [30250] Speed: 10.63 samples/sec Train-Accuracy=0.681429
2016-09-24 02:09:04,396 Epoch[2] Batch [30300] Speed: 9.39 samples/sec Train-Accuracy=0.725714
2016-09-24 02:09:43,055 Epoch[2] Batch [30350] Speed: 10.35 samples/sec Train-Accuracy=0.712857
2016-09-24 02:10:22,270 Epoch[2] Batch [30400] Speed: 10.20 samples/sec Train-Accuracy=0.678571
2016-09-24 02:11:01,392 Epoch[2] Batch [30450] Speed: 10.22 samples/sec Train-Accuracy=0.691429
2016-09-24 02:11:38,892 Epoch[2] Batch [30500] Speed: 10.67 samples/sec Train-Accuracy=0.694286
2016-09-24 02:12:15,844 Epoch[2] Batch [30550] Speed: 10.83 samples/sec Train-Accuracy=0.705714
2016-09-24 02:12:52,868 Epoch[2] Batch [30600] Speed: 10.80 samples/sec Train-Accuracy=0.708571
2016-09-24 02:13:29,401 Epoch[2] Batch [30650] Speed: 10.95 samples/sec Train-Accuracy=0.698571
2016-09-24 02:14:05,574 Epoch[2] Batch [30700] Speed: 11.06 samples/sec Train-Accuracy=0.722857
2016-09-24 02:14:41,639 Epoch[2] Batch [30750] Speed: 11.09 samples/sec Train-Accuracy=0.670000
2016-09-24 02:15:17,755 Epoch[2] Batch [30800] Speed: 11.08 samples/sec Train-Accuracy=0.688571
2016-09-24 02:15:53,989 Epoch[2] Batch [30850] Speed: 11.04 samples/sec Train-Accuracy=0.715714
2016-09-24 02:16:30,225 Epoch[2] Batch [30900] Speed: 11.04 samples/sec Train-Accuracy=0.731429
2016-09-24 02:17:06,729 Epoch[2] Batch [30950] Speed: 10.96 samples/sec Train-Accuracy=0.692857
2016-09-24 02:17:43,507 Epoch[2] Batch [31000] Speed: 10.88 samples/sec Train-Accuracy=0.701429
2016-09-24 02:18:19,636 Epoch[2] Batch [31050] Speed: 11.07 samples/sec Train-Accuracy=0.715714
2016-09-24 02:18:55,716 Epoch[2] Batch [31100] Speed: 11.09 samples/sec Train-Accuracy=0.701429
2016-09-24 02:19:31,743 Epoch[2] Batch [31150] Speed: 11.10 samples/sec Train-Accuracy=0.702857
2016-09-24 02:20:07,780 Epoch[2] Batch [31200] Speed: 11.10 samples/sec Train-Accuracy=0.682857
2016-09-24 02:20:43,929 Epoch[2] Batch [31250] Speed: 11.07 samples/sec Train-Accuracy=0.702857
2016-09-24 02:21:20,037 Epoch[2] Batch [31300] Speed: 11.08 samples/sec Train-Accuracy=0.711429
2016-09-24 02:21:56,138 Epoch[2] Batch [31350] Speed: 11.08 samples/sec Train-Accuracy=0.677143
2016-09-24 02:22:32,358 Epoch[2] Batch [31400] Speed: 11.04 samples/sec Train-Accuracy=0.672857
2016-09-24 02:23:08,470 Epoch[2] Batch [31450] Speed: 11.08 samples/sec Train-Accuracy=0.740000
2016-09-24 02:23:44,628 Epoch[2] Batch [31500] Speed: 11.06 samples/sec Train-Accuracy=0.668571
2016-09-24 02:24:20,928 Epoch[2] Batch [31550] Speed: 11.02 samples/sec Train-Accuracy=0.725714
2016-09-24 02:24:57,227 Epoch[2] Batch [31600] Speed: 11.02 samples/sec Train-Accuracy=0.707143
2016-09-24 02:25:33,480 Epoch[2] Batch [31650] Speed: 11.03 samples/sec Train-Accuracy=0.721429
2016-09-24 02:26:09,991 Epoch[2] Batch [31700] Speed: 10.96 samples/sec Train-Accuracy=0.720000
2016-09-24 02:26:46,148 Epoch[2] Batch [31750] Speed: 11.06 samples/sec Train-Accuracy=0.714286
2016-09-24 02:27:22,542 Epoch[2] Batch [31800] Speed: 10.99 samples/sec Train-Accuracy=0.704286
2016-09-24 02:27:58,583 Epoch[2] Batch [31850] Speed: 11.10 samples/sec Train-Accuracy=0.680000
2016-09-24 02:28:34,623 Epoch[2] Batch [31900] Speed: 11.10 samples/sec Train-Accuracy=0.681429
2016-09-24 02:29:10,684 Epoch[2] Batch [31950] Speed: 11.09 samples/sec Train-Accuracy=0.687143
2016-09-24 02:29:46,776 Epoch[2] Batch [32000] Speed: 11.08 samples/sec Train-Accuracy=0.742857
2016-09-24 02:30:23,524 Epoch[2] Batch [32050] Speed: 10.89 samples/sec Train-Accuracy=0.722857
2016-09-24 02:31:01,916 Epoch[2] Batch [32100] Speed: 10.42 samples/sec Train-Accuracy=0.730000
2016-09-24 02:31:42,370 Epoch[2] Batch [32150] Speed: 9.89 samples/sec Train-Accuracy=0.765714
2016-09-24 02:32:21,186 Epoch[2] Batch [32200] Speed: 10.31 samples/sec Train-Accuracy=0.708571
2016-09-24 02:32:58,947 Epoch[2] Batch [32250] Speed: 10.59 samples/sec Train-Accuracy=0.717143
2016-09-24 02:33:36,711 Epoch[2] Batch [32300] Speed: 10.59 samples/sec Train-Accuracy=0.698571
2016-09-24 02:34:13,814 Epoch[2] Batch [32350] Speed: 10.78 samples/sec Train-Accuracy=0.678571
2016-09-24 02:34:50,031 Epoch[2] Batch [32400] Speed: 11.04 samples/sec Train-Accuracy=0.700000
2016-09-24 02:35:26,170 Epoch[2] Batch [32450] Speed: 11.07 samples/sec Train-Accuracy=0.720000
2016-09-24 02:36:02,357 Epoch[2] Batch [32500] Speed: 11.05 samples/sec Train-Accuracy=0.711429
2016-09-24 02:36:38,499 Epoch[2] Batch [32550] Speed: 11.07 samples/sec Train-Accuracy=0.690000
2016-09-24 02:37:14,776 Epoch[2] Batch [32600] Speed: 11.03 samples/sec Train-Accuracy=0.708571
2016-09-24 02:37:51,016 Epoch[2] Batch [32650] Speed: 11.04 samples/sec Train-Accuracy=0.700000
2016-09-24 02:38:27,267 Epoch[2] Batch [32700] Speed: 11.03 samples/sec Train-Accuracy=0.707143
2016-09-24 02:39:03,545 Epoch[2] Batch [32750] Speed: 11.03 samples/sec Train-Accuracy=0.694286
2016-09-24 02:39:39,768 Epoch[2] Batch [32800] Speed: 11.04 samples/sec Train-Accuracy=0.717143
2016-09-24 02:40:16,042 Epoch[2] Batch [32850] Speed: 11.03 samples/sec Train-Accuracy=0.711429
2016-09-24 02:40:53,754 Epoch[2] Batch [32900] Speed: 10.61 samples/sec Train-Accuracy=0.732857
2016-09-24 02:41:34,609 Epoch[2] Batch [32950] Speed: 9.79 samples/sec Train-Accuracy=0.700000
2016-09-24 02:42:13,256 Epoch[2] Batch [33000] Speed: 10.35 samples/sec Train-Accuracy=0.692857
2016-09-24 02:42:50,594 Epoch[2] Batch [33050] Speed: 10.71 samples/sec Train-Accuracy=0.734286
2016-09-24 02:43:27,900 Epoch[2] Batch [33100] Speed: 10.72 samples/sec Train-Accuracy=0.695714
2016-09-24 02:44:05,136 Epoch[2] Batch [33150] Speed: 10.74 samples/sec Train-Accuracy=0.708571
2016-09-24 02:44:42,378 Epoch[2] Batch [33200] Speed: 10.74 samples/sec Train-Accuracy=0.684286
2016-09-24 02:45:19,937 Epoch[2] Batch [33250] Speed: 10.65 samples/sec Train-Accuracy=0.698571
2016-09-24 02:45:57,213 Epoch[2] Batch [33300] Speed: 10.73 samples/sec Train-Accuracy=0.698571
2016-09-24 02:46:34,398 Epoch[2] Batch [33350] Speed: 10.76 samples/sec Train-Accuracy=0.707143
2016-09-24 02:47:11,557 Epoch[2] Batch [33400] Speed: 10.76 samples/sec Train-Accuracy=0.714286
2016-09-24 02:47:48,738 Epoch[2] Batch [33450] Speed: 10.76 samples/sec Train-Accuracy=0.697143
2016-09-24 02:48:25,884 Epoch[2] Batch [33500] Speed: 10.77 samples/sec Train-Accuracy=0.694286
2016-09-24 02:49:03,323 Epoch[2] Batch [33550] Speed: 10.68 samples/sec Train-Accuracy=0.735714
2016-09-24 02:49:43,172 Epoch[2] Batch [33600] Speed: 10.04 samples/sec Train-Accuracy=0.687143
2016-09-24 02:50:22,114 Epoch[2] Batch [33650] Speed: 10.27 samples/sec Train-Accuracy=0.717143
2016-09-24 02:50:59,276 Epoch[2] Batch [33700] Speed: 10.76 samples/sec Train-Accuracy=0.702857
2016-09-24 02:51:36,443 Epoch[2] Batch [33750] Speed: 10.76 samples/sec Train-Accuracy=0.728571
2016-09-24 02:52:13,914 Epoch[2] Batch [33800] Speed: 10.68 samples/sec Train-Accuracy=0.690000
2016-09-24 02:52:51,161 Epoch[2] Batch [33850] Speed: 10.74 samples/sec Train-Accuracy=0.714286
2016-09-24 02:53:28,496 Epoch[2] Batch [33900] Speed: 10.71 samples/sec Train-Accuracy=0.704286
2016-09-24 02:54:06,062 Epoch[2] Batch [33950] Speed: 10.65 samples/sec Train-Accuracy=0.691429
2016-09-24 02:54:43,330 Epoch[2] Batch [34000] Speed: 10.73 samples/sec Train-Accuracy=0.714286
2016-09-24 02:55:20,470 Epoch[2] Batch [34050] Speed: 10.77 samples/sec Train-Accuracy=0.667143
2016-09-24 02:55:57,956 Epoch[2] Batch [34100] Speed: 10.67 samples/sec Train-Accuracy=0.682857
2016-09-24 02:56:37,664 Epoch[2] Batch [34150] Speed: 10.07 samples/sec Train-Accuracy=0.707143
2016-09-24 02:57:15,794 Epoch[2] Batch [34200] Speed: 10.49 samples/sec Train-Accuracy=0.684286
2016-09-24 02:57:52,537 Epoch[2] Batch [34250] Speed: 10.89 samples/sec Train-Accuracy=0.678571
2016-09-24 02:58:28,597 Epoch[2] Batch [34300] Speed: 11.09 samples/sec Train-Accuracy=0.710000
2016-09-24 02:59:04,685 Epoch[2] Batch [34350] Speed: 11.08 samples/sec Train-Accuracy=0.700000
2016-09-24 02:59:40,991 Epoch[2] Batch [34400] Speed: 11.02 samples/sec Train-Accuracy=0.717143
2016-09-24 03:00:18,409 Epoch[2] Batch [34450] Speed: 10.69 samples/sec Train-Accuracy=0.685714
2016-09-24 03:00:56,029 Epoch[2] Batch [34500] Speed: 10.63 samples/sec Train-Accuracy=0.718571
2016-09-24 03:01:32,227 Epoch[2] Batch [34550] Speed: 11.05 samples/sec Train-Accuracy=0.702857
2016-09-24 03:02:08,679 Epoch[2] Batch [34600] Speed: 10.97 samples/sec Train-Accuracy=0.731429
2016-09-24 03:02:45,393 Epoch[2] Batch [34650] Speed: 10.90 samples/sec Train-Accuracy=0.728571
2016-09-24 03:03:22,675 Epoch[2] Batch [34700] Speed: 10.73 samples/sec Train-Accuracy=0.724286
2016-09-24 03:04:00,677 Epoch[2] Batch [34750] Speed: 10.53 samples/sec Train-Accuracy=0.702857
2016-09-24 03:04:37,255 Epoch[2] Batch [34800] Speed: 10.94 samples/sec Train-Accuracy=0.697143
2016-09-24 03:05:13,462 Epoch[2] Batch [34850] Speed: 11.05 samples/sec Train-Accuracy=0.720000
2016-09-24 03:05:49,586 Epoch[2] Batch [34900] Speed: 11.07 samples/sec Train-Accuracy=0.725714
2016-09-24 03:06:31,257 Epoch[2] Batch [34950] Speed: 9.60 samples/sec Train-Accuracy=0.695714
2016-09-24 03:07:12,588 Epoch[2] Batch [35000] Speed: 9.68 samples/sec Train-Accuracy=0.705714
2016-09-24 03:07:52,603 Epoch[2] Batch [35050] Speed: 10.00 samples/sec Train-Accuracy=0.685714
2016-09-24 03:08:32,264 Epoch[2] Batch [35100] Speed: 10.09 samples/sec Train-Accuracy=0.695714
2016-09-24 03:09:11,512 Epoch[2] Batch [35150] Speed: 10.19 samples/sec Train-Accuracy=0.714286
2016-09-24 03:09:47,762 Epoch[2] Batch [35200] Speed: 11.03 samples/sec Train-Accuracy=0.708571
2016-09-24 03:10:24,109 Epoch[2] Batch [35250] Speed: 11.01 samples/sec Train-Accuracy=0.728571
2016-09-24 03:11:00,410 Epoch[2] Batch [35300] Speed: 11.02 samples/sec Train-Accuracy=0.708571
2016-09-24 03:11:36,756 Epoch[2] Batch [35350] Speed: 11.01 samples/sec Train-Accuracy=0.738571
2016-09-24 03:12:13,071 Epoch[2] Batch [35400] Speed: 11.01 samples/sec Train-Accuracy=0.722857
2016-09-24 03:12:49,350 Epoch[2] Batch [35450] Speed: 11.03 samples/sec Train-Accuracy=0.690000
2016-09-24 03:13:25,446 Epoch[2] Batch [35500] Speed: 11.08 samples/sec Train-Accuracy=0.740000
2016-09-24 03:14:01,608 Epoch[2] Batch [35550] Speed: 11.06 samples/sec Train-Accuracy=0.712857
2016-09-24 03:14:37,772 Epoch[2] Batch [35600] Speed: 11.06 samples/sec Train-Accuracy=0.694286
2016-09-24 03:15:13,890 Epoch[2] Batch [35650] Speed: 11.07 samples/sec Train-Accuracy=0.724286
2016-09-24 03:15:50,107 Epoch[2] Batch [35700] Speed: 11.04 samples/sec Train-Accuracy=0.704286
2016-09-24 03:16:26,269 Epoch[2] Batch [35750] Speed: 11.06 samples/sec Train-Accuracy=0.734286
2016-09-24 03:17:04,996 Epoch[2] Batch [35800] Speed: 10.33 samples/sec Train-Accuracy=0.728571
2016-09-24 03:17:44,278 Epoch[2] Batch [35850] Speed: 10.18 samples/sec Train-Accuracy=0.714286
2016-09-24 03:18:24,032 Epoch[2] Batch [35900] Speed: 10.06 samples/sec Train-Accuracy=0.705714
2016-09-24 03:19:04,648 Epoch[2] Batch [35950] Speed: 9.85 samples/sec Train-Accuracy=0.702857
2016-09-24 03:19:44,964 Epoch[2] Batch [36000] Speed: 9.92 samples/sec Train-Accuracy=0.691429
2016-09-24 03:20:23,713 Epoch[2] Batch [36050] Speed: 10.32 samples/sec Train-Accuracy=0.747143
2016-09-24 03:20:59,982 Epoch[2] Batch [36100] Speed: 11.03 samples/sec Train-Accuracy=0.685714
2016-09-24 03:21:36,274 Epoch[2] Batch [36150] Speed: 11.02 samples/sec Train-Accuracy=0.718571
2016-09-24 03:22:12,528 Epoch[2] Batch [36200] Speed: 11.03 samples/sec Train-Accuracy=0.727143
2016-09-24 03:22:48,907 Epoch[2] Batch [36250] Speed: 11.00 samples/sec Train-Accuracy=0.742857
2016-09-24 03:23:25,253 Epoch[2] Batch [36300] Speed: 11.01 samples/sec Train-Accuracy=0.720000
2016-09-24 03:24:03,672 Epoch[2] Batch [36350] Speed: 10.41 samples/sec Train-Accuracy=0.728571
2016-09-24 03:24:45,784 Epoch[2] Batch [36400] Speed: 9.50 samples/sec Train-Accuracy=0.717143
2016-09-24 03:25:27,169 Epoch[2] Batch [36450] Speed: 9.67 samples/sec Train-Accuracy=0.697143
2016-09-24 03:26:07,055 Epoch[2] Batch [36500] Speed: 10.03 samples/sec Train-Accuracy=0.698571
2016-09-24 03:26:46,121 Epoch[2] Batch [36550] Speed: 10.24 samples/sec Train-Accuracy=0.711429
2016-09-24 03:27:23,144 Epoch[2] Batch [36600] Speed: 10.80 samples/sec Train-Accuracy=0.711429
2016-09-24 03:28:00,589 Epoch[2] Batch [36650] Speed: 10.68 samples/sec Train-Accuracy=0.701429
2016-09-24 03:28:37,392 Epoch[2] Batch [36700] Speed: 10.87 samples/sec Train-Accuracy=0.687143
2016-09-24 03:29:17,781 Epoch[2] Batch [36750] Speed: 9.90 samples/sec Train-Accuracy=0.745714
2016-09-24 03:29:58,281 Epoch[2] Batch [36800] Speed: 9.88 samples/sec Train-Accuracy=0.732857
2016-09-24 03:30:38,392 Epoch[2] Batch [36850] Speed: 9.97 samples/sec Train-Accuracy=0.677143
2016-09-24 03:31:20,200 Epoch[2] Batch [36900] Speed: 9.57 samples/sec Train-Accuracy=0.732857
2016-09-24 03:32:01,979 Epoch[2] Batch [36950] Speed: 9.57 samples/sec Train-Accuracy=0.748571
2016-09-24 03:32:43,706 Epoch[2] Batch [37000] Speed: 9.59 samples/sec Train-Accuracy=0.710000
2016-09-24 03:33:25,212 Epoch[2] Batch [37050] Speed: 9.64 samples/sec Train-Accuracy=0.727143
2016-09-24 03:34:05,257 Epoch[2] Batch [37100] Speed: 9.99 samples/sec Train-Accuracy=0.705714
2016-09-24 03:34:45,568 Epoch[2] Batch [37150] Speed: 9.92 samples/sec Train-Accuracy=0.704286
2016-09-24 03:35:23,492 Epoch[2] Batch [37200] Speed: 10.55 samples/sec Train-Accuracy=0.712857
2016-09-24 03:35:59,558 Epoch[2] Batch [37250] Speed: 11.09 samples/sec Train-Accuracy=0.674286
2016-09-24 03:36:38,483 Epoch[2] Batch [37300] Speed: 10.28 samples/sec Train-Accuracy=0.710000
2016-09-24 03:37:18,763 Epoch[2] Batch [37350] Speed: 9.93 samples/sec Train-Accuracy=0.727143
2016-09-24 03:37:58,052 Epoch[2] Batch [37400] Speed: 10.18 samples/sec Train-Accuracy=0.718571
2016-09-24 03:38:34,931 Epoch[2] Batch [37450] Speed: 10.85 samples/sec Train-Accuracy=0.707143
2016-09-24 03:39:11,378 Epoch[2] Batch [37500] Speed: 10.97 samples/sec Train-Accuracy=0.721429
2016-09-24 03:39:52,173 Epoch[2] Batch [37550] Speed: 9.81 samples/sec Train-Accuracy=0.688571
2016-09-24 03:40:33,306 Epoch[2] Batch [37600] Speed: 9.72 samples/sec Train-Accuracy=0.690000
2016-09-24 03:41:14,940 Epoch[2] Batch [37650] Speed: 9.61 samples/sec Train-Accuracy=0.730000
2016-09-24 03:41:55,301 Epoch[2] Batch [37700] Speed: 9.91 samples/sec Train-Accuracy=0.702857
2016-09-24 03:42:36,074 Epoch[2] Batch [37750] Speed: 9.81 samples/sec Train-Accuracy=0.691429
2016-09-24 03:43:16,093 Epoch[2] Batch [37800] Speed: 10.00 samples/sec Train-Accuracy=0.717143
2016-09-24 03:43:58,215 Epoch[2] Batch [37850] Speed: 9.50 samples/sec Train-Accuracy=0.728571
2016-09-24 03:44:36,609 Epoch[2] Batch [37900] Speed: 10.42 samples/sec Train-Accuracy=0.660000
2016-09-24 03:45:15,625 Epoch[2] Batch [37950] Speed: 10.25 samples/sec Train-Accuracy=0.728571
2016-09-24 03:45:54,735 Epoch[2] Batch [38000] Speed: 10.23 samples/sec Train-Accuracy=0.705714
2016-09-24 03:46:32,368 Epoch[2] Batch [38050] Speed: 10.63 samples/sec Train-Accuracy=0.735714
2016-09-24 03:47:08,634 Epoch[2] Batch [38100] Speed: 11.03 samples/sec Train-Accuracy=0.725714
2016-09-24 03:47:44,976 Epoch[2] Batch [38150] Speed: 11.01 samples/sec Train-Accuracy=0.685714
2016-09-24 03:48:21,268 Epoch[2] Batch [38200] Speed: 11.02 samples/sec Train-Accuracy=0.710000
2016-09-24 03:48:57,599 Epoch[2] Batch [38250] Speed: 11.01 samples/sec Train-Accuracy=0.724286
2016-09-24 03:49:33,866 Epoch[2] Batch [38300] Speed: 11.03 samples/sec Train-Accuracy=0.700000
2016-09-24 03:50:10,200 Epoch[2] Batch [38350] Speed: 11.01 samples/sec Train-Accuracy=0.705714
2016-09-24 03:50:46,427 Epoch[2] Batch [38400] Speed: 11.04 samples/sec Train-Accuracy=0.722857
2016-09-24 03:51:22,647 Epoch[2] Batch [38450] Speed: 11.04 samples/sec Train-Accuracy=0.751429
2016-09-24 03:51:59,029 Epoch[2] Batch [38500] Speed: 10.99 samples/sec Train-Accuracy=0.707143
2016-09-24 03:52:35,231 Epoch[2] Batch [38550] Speed: 11.05 samples/sec Train-Accuracy=0.730000
2016-09-24 03:53:11,438 Epoch[2] Batch [38600] Speed: 11.05 samples/sec Train-Accuracy=0.728571
2016-09-24 03:53:47,708 Epoch[2] Batch [38650] Speed: 11.03 samples/sec Train-Accuracy=0.717143
2016-09-24 03:54:23,898 Epoch[2] Batch [38700] Speed: 11.05 samples/sec Train-Accuracy=0.734286
2016-09-24 03:55:00,107 Epoch[2] Batch [38750] Speed: 11.05 samples/sec Train-Accuracy=0.705714
2016-09-24 03:55:36,526 Epoch[2] Batch [38800] Speed: 10.98 samples/sec Train-Accuracy=0.712857
2016-09-24 03:56:12,714 Epoch[2] Batch [38850] Speed: 11.05 samples/sec Train-Accuracy=0.752857
2016-09-24 03:56:52,301 Epoch[2] Batch [38900] Speed: 10.10 samples/sec Train-Accuracy=0.748571
2016-09-24 03:57:29,270 Epoch[2] Batch [38950] Speed: 10.82 samples/sec Train-Accuracy=0.694286
2016-09-24 03:58:05,411 Epoch[2] Batch [39000] Speed: 11.07 samples/sec Train-Accuracy=0.708571
2016-09-24 03:58:41,601 Epoch[2] Batch [39050] Speed: 11.05 samples/sec Train-Accuracy=0.702857
2016-09-24 03:59:17,767 Epoch[2] Batch [39100] Speed: 11.06 samples/sec Train-Accuracy=0.697143
2016-09-24 03:59:53,882 Epoch[2] Batch [39150] Speed: 11.08 samples/sec Train-Accuracy=0.707143
2016-09-24 04:00:31,796 Epoch[2] Batch [39200] Speed: 10.55 samples/sec Train-Accuracy=0.748571
2016-09-24 04:01:14,710 Epoch[2] Batch [39250] Speed: 9.32 samples/sec Train-Accuracy=0.724286
2016-09-24 04:01:54,638 Epoch[2] Batch [39300] Speed: 10.02 samples/sec Train-Accuracy=0.701429
2016-09-24 04:02:34,268 Epoch[2] Batch [39350] Speed: 10.09 samples/sec Train-Accuracy=0.700000
2016-09-24 04:03:13,325 Epoch[2] Batch [39400] Speed: 10.24 samples/sec Train-Accuracy=0.701429
2016-09-24 04:03:52,525 Epoch[2] Batch [39450] Speed: 10.20 samples/sec Train-Accuracy=0.707143
2016-09-24 04:04:30,753 Epoch[2] Batch [39500] Speed: 10.46 samples/sec Train-Accuracy=0.685714
2016-09-24 04:05:08,828 Epoch[2] Batch [39550] Speed: 10.51 samples/sec Train-Accuracy=0.712857
2016-09-24 04:05:45,713 Epoch[2] Batch [39600] Speed: 10.84 samples/sec Train-Accuracy=0.688571
2016-09-24 04:06:23,007 Epoch[2] Batch [39650] Speed: 10.73 samples/sec Train-Accuracy=0.681429
2016-09-24 04:07:00,659 Epoch[2] Batch [39700] Speed: 10.62 samples/sec Train-Accuracy=0.745714
2016-09-24 04:07:37,840 Epoch[2] Batch [39750] Speed: 10.76 samples/sec Train-Accuracy=0.748571
2016-09-24 04:08:14,611 Epoch[2] Batch [39800] Speed: 10.88 samples/sec Train-Accuracy=0.725714
2016-09-24 04:08:51,387 Epoch[2] Batch [39850] Speed: 10.88 samples/sec Train-Accuracy=0.690000
2016-09-24 04:09:28,268 Epoch[2] Batch [39900] Speed: 10.85 samples/sec Train-Accuracy=0.761429
2016-09-24 04:10:05,166 Epoch[2] Batch [39950] Speed: 10.84 samples/sec Train-Accuracy=0.692857
2016-09-24 04:10:42,055 Epoch[2] Batch [40000] Speed: 10.84 samples/sec Train-Accuracy=0.685714
2016-09-24 04:11:18,918 Epoch[2] Batch [40050] Speed: 10.85 samples/sec Train-Accuracy=0.731429
2016-09-24 04:11:55,823 Epoch[2] Batch [40100] Speed: 10.84 samples/sec Train-Accuracy=0.698571
2016-09-24 04:12:35,881 Epoch[2] Batch [40150] Speed: 9.99 samples/sec Train-Accuracy=0.712857
2016-09-24 04:13:16,395 Epoch[2] Batch [40200] Speed: 9.87 samples/sec Train-Accuracy=0.707143
2016-09-24 04:13:57,124 Epoch[2] Batch [40250] Speed: 9.82 samples/sec Train-Accuracy=0.717143
2016-09-24 04:14:37,906 Epoch[2] Batch [40300] Speed: 9.81 samples/sec Train-Accuracy=0.722857
2016-09-24 04:15:16,325 Epoch[2] Batch [40350] Speed: 10.41 samples/sec Train-Accuracy=0.750000
2016-09-24 04:15:54,539 Epoch[2] Batch [40400] Speed: 10.47 samples/sec Train-Accuracy=0.657143
2016-09-24 04:16:34,705 Epoch[2] Batch [40450] Speed: 9.96 samples/sec Train-Accuracy=0.727143
2016-09-24 04:17:14,757 Epoch[2] Batch [40500] Speed: 9.99 samples/sec Train-Accuracy=0.721429
2016-09-24 04:17:51,670 Epoch[2] Batch [40550] Speed: 10.84 samples/sec Train-Accuracy=0.730000
2016-09-24 04:18:28,640 Epoch[2] Batch [40600] Speed: 10.82 samples/sec Train-Accuracy=0.690000
2016-09-24 04:19:05,579 Epoch[2] Batch [40650] Speed: 10.83 samples/sec Train-Accuracy=0.700000
2016-09-24 04:19:42,484 Epoch[2] Batch [40700] Speed: 10.84 samples/sec Train-Accuracy=0.724286
2016-09-24 04:20:19,461 Epoch[2] Batch [40750] Speed: 10.82 samples/sec Train-Accuracy=0.681429
2016-09-24 04:20:56,328 Epoch[2] Batch [40800] Speed: 10.85 samples/sec Train-Accuracy=0.685714
2016-09-24 04:21:33,388 Epoch[2] Batch [40850] Speed: 10.79 samples/sec Train-Accuracy=0.720000
2016-09-24 04:22:10,427 Epoch[2] Batch [40900] Speed: 10.80 samples/sec Train-Accuracy=0.712857
2016-09-24 04:22:47,422 Epoch[2] Batch [40950] Speed: 10.81 samples/sec Train-Accuracy=0.721429
2016-09-24 04:23:24,387 Epoch[2] Batch [41000] Speed: 10.82 samples/sec Train-Accuracy=0.715714
2016-09-24 04:24:01,294 Epoch[2] Batch [41050] Speed: 10.84 samples/sec Train-Accuracy=0.718571
2016-09-24 04:24:38,163 Epoch[2] Batch [41100] Speed: 10.85 samples/sec Train-Accuracy=0.712857
2016-09-24 04:25:16,609 Epoch[2] Batch [41150] Speed: 10.40 samples/sec Train-Accuracy=0.690000
2016-09-24 04:25:55,550 Epoch[2] Batch [41200] Speed: 10.27 samples/sec Train-Accuracy=0.727143
2016-09-24 04:26:33,698 Epoch[2] Batch [41250] Speed: 10.49 samples/sec Train-Accuracy=0.707143
2016-09-24 04:27:12,748 Epoch[2] Batch [41300] Speed: 10.24 samples/sec Train-Accuracy=0.724286
2016-09-24 04:27:51,869 Epoch[2] Batch [41350] Speed: 10.22 samples/sec Train-Accuracy=0.675714
2016-09-24 04:28:30,725 Epoch[2] Batch [41400] Speed: 10.29 samples/sec Train-Accuracy=0.691429
2016-09-24 04:29:09,692 Epoch[2] Batch [41450] Speed: 10.27 samples/sec Train-Accuracy=0.692857
2016-09-24 04:29:50,343 Epoch[2] Batch [41500] Speed: 9.84 samples/sec Train-Accuracy=0.667143
2016-09-24 04:30:29,563 Epoch[2] Batch [41550] Speed: 10.20 samples/sec Train-Accuracy=0.711429
2016-09-24 04:31:09,046 Epoch[2] Batch [41600] Speed: 10.13 samples/sec Train-Accuracy=0.730000
2016-09-24 04:31:48,840 Epoch[2] Batch [41650] Speed: 10.05 samples/sec Train-Accuracy=0.718571
2016-09-24 04:32:27,002 Epoch[2] Batch [41700] Speed: 10.48 samples/sec Train-Accuracy=0.725714
2016-09-24 04:33:06,904 Epoch[2] Batch [41750] Speed: 10.02 samples/sec Train-Accuracy=0.695714
2016-09-24 04:33:45,965 Epoch[2] Batch [41800] Speed: 10.24 samples/sec Train-Accuracy=0.672857
2016-09-24 04:34:24,140 Epoch[2] Batch [41850] Speed: 10.48 samples/sec Train-Accuracy=0.721429
2016-09-24 04:35:01,108 Epoch[2] Batch [41900] Speed: 10.82 samples/sec Train-Accuracy=0.718571
2016-09-24 04:35:37,925 Epoch[2] Batch [41950] Speed: 10.86 samples/sec Train-Accuracy=0.705714
2016-09-24 04:36:14,816 Epoch[2] Batch [42000] Speed: 10.84 samples/sec Train-Accuracy=0.705714
2016-09-24 04:36:51,650 Epoch[2] Batch [42050] Speed: 10.86 samples/sec Train-Accuracy=0.730000
2016-09-24 04:37:28,359 Epoch[2] Batch [42100] Speed: 10.90 samples/sec Train-Accuracy=0.698571
2016-09-24 04:38:05,108 Epoch[2] Batch [42150] Speed: 10.88 samples/sec Train-Accuracy=0.717143
2016-09-24 04:38:41,935 Epoch[2] Batch [42200] Speed: 10.86 samples/sec Train-Accuracy=0.717143
2016-09-24 04:39:18,804 Epoch[2] Batch [42250] Speed: 10.85 samples/sec Train-Accuracy=0.710000
2016-09-24 04:39:55,628 Epoch[2] Batch [42300] Speed: 10.86 samples/sec Train-Accuracy=0.692857
2016-09-24 04:40:32,428 Epoch[2] Batch [42350] Speed: 10.87 samples/sec Train-Accuracy=0.727143
2016-09-24 04:41:09,250 Epoch[2] Batch [42400] Speed: 10.86 samples/sec Train-Accuracy=0.702857
2016-09-24 04:41:46,043 Epoch[2] Batch [42450] Speed: 10.87 samples/sec Train-Accuracy=0.717143
2016-09-24 04:42:22,867 Epoch[2] Batch [42500] Speed: 10.86 samples/sec Train-Accuracy=0.694286
2016-09-24 04:42:59,504 Epoch[2] Batch [42550] Speed: 10.92 samples/sec Train-Accuracy=0.702857
2016-09-24 04:43:37,241 Epoch[2] Batch [42600] Speed: 10.60 samples/sec Train-Accuracy=0.714286
2016-09-24 04:44:13,886 Epoch[2] Batch [42650] Speed: 10.92 samples/sec Train-Accuracy=0.722857
2016-09-24 04:44:50,244 Epoch[2] Batch [42700] Speed: 11.00 samples/sec Train-Accuracy=0.721429
2016-09-24 04:45:26,743 Epoch[2] Batch [42750] Speed: 10.96 samples/sec Train-Accuracy=0.725714
2016-09-24 04:46:03,157 Epoch[2] Batch [42800] Speed: 10.98 samples/sec Train-Accuracy=0.697143
2016-09-24 04:46:41,122 Epoch[2] Batch [42850] Speed: 10.54 samples/sec Train-Accuracy=0.740000
2016-09-24 04:47:20,385 Epoch[2] Batch [42900] Speed: 10.19 samples/sec Train-Accuracy=0.722857
2016-09-24 04:47:57,102 Epoch[2] Batch [42950] Speed: 10.89 samples/sec Train-Accuracy=0.704286
2016-09-24 04:48:34,743 Epoch[2] Batch [43000] Speed: 10.63 samples/sec Train-Accuracy=0.725714
2016-09-24 04:49:13,070 Epoch[2] Batch [43050] Speed: 10.44 samples/sec Train-Accuracy=0.714286
2016-09-24 04:49:51,760 Epoch[2] Batch [43100] Speed: 10.34 samples/sec Train-Accuracy=0.694286
2016-09-24 04:50:30,590 Epoch[2] Batch [43150] Speed: 10.30 samples/sec Train-Accuracy=0.725714
2016-09-24 04:51:08,498 Epoch[2] Batch [43200] Speed: 10.55 samples/sec Train-Accuracy=0.711429
2016-09-24 04:51:45,797 Epoch[2] Batch [43250] Speed: 10.72 samples/sec Train-Accuracy=0.734286
2016-09-24 04:52:23,168 Epoch[2] Batch [43300] Speed: 10.70 samples/sec Train-Accuracy=0.747143
2016-09-24 04:52:59,564 Epoch[2] Batch [43350] Speed: 10.99 samples/sec Train-Accuracy=0.704286
2016-09-24 04:53:35,968 Epoch[2] Batch [43400] Speed: 10.99 samples/sec Train-Accuracy=0.728571
2016-09-24 04:54:12,226 Epoch[2] Batch [43450] Speed: 11.03 samples/sec Train-Accuracy=0.710000
2016-09-24 04:54:48,472 Epoch[2] Batch [43500] Speed: 11.04 samples/sec Train-Accuracy=0.708571
2016-09-24 04:55:25,332 Epoch[2] Batch [43550] Speed: 10.85 samples/sec Train-Accuracy=0.728571
2016-09-24 04:56:05,371 Epoch[2] Batch [43600] Speed: 9.99 samples/sec Train-Accuracy=0.705714
2016-09-24 04:56:43,738 Epoch[2] Batch [43650] Speed: 10.43 samples/sec Train-Accuracy=0.734286
2016-09-24 04:57:22,464 Epoch[2] Batch [43700] Speed: 10.33 samples/sec Train-Accuracy=0.695714
2016-09-24 04:58:00,972 Epoch[2] Batch [43750] Speed: 10.39 samples/sec Train-Accuracy=0.747143
2016-09-24 04:58:39,239 Epoch[2] Batch [43800] Speed: 10.45 samples/sec Train-Accuracy=0.704286
2016-09-24 04:59:17,560 Epoch[2] Batch [43850] Speed: 10.44 samples/sec Train-Accuracy=0.721429
2016-09-24 04:59:55,929 Epoch[2] Batch [43900] Speed: 10.43 samples/sec Train-Accuracy=0.731429
2016-09-24 05:00:33,070 Epoch[2] Batch [43950] Speed: 10.77 samples/sec Train-Accuracy=0.704286
2016-09-24 05:01:09,590 Epoch[2] Batch [44000] Speed: 10.95 samples/sec Train-Accuracy=0.711429
2016-09-24 05:01:46,306 Epoch[2] Batch [44050] Speed: 10.89 samples/sec Train-Accuracy=0.741429
2016-09-24 05:02:22,954 Epoch[2] Batch [44100] Speed: 10.91 samples/sec Train-Accuracy=0.731429
2016-09-24 05:02:59,177 Epoch[2] Batch [44150] Speed: 11.04 samples/sec Train-Accuracy=0.698571
2016-09-24 05:03:35,374 Epoch[2] Batch [44200] Speed: 11.05 samples/sec Train-Accuracy=0.717143
2016-09-24 05:04:11,635 Epoch[2] Batch [44250] Speed: 11.03 samples/sec Train-Accuracy=0.717143
2016-09-24 05:04:47,933 Epoch[2] Batch [44300] Speed: 11.02 samples/sec Train-Accuracy=0.721429
2016-09-24 05:05:24,279 Epoch[2] Batch [44350] Speed: 11.01 samples/sec Train-Accuracy=0.730000
2016-09-24 05:06:00,579 Epoch[2] Batch [44400] Speed: 11.02 samples/sec Train-Accuracy=0.700000
2016-09-24 05:06:36,911 Epoch[2] Batch [44450] Speed: 11.01 samples/sec Train-Accuracy=0.675714
2016-09-24 05:07:13,157 Epoch[2] Batch [44500] Speed: 11.04 samples/sec Train-Accuracy=0.715714
2016-09-24 05:07:49,453 Epoch[2] Batch [44550] Speed: 11.02 samples/sec Train-Accuracy=0.772857
2016-09-24 05:08:25,655 Epoch[2] Batch [44600] Speed: 11.05 samples/sec Train-Accuracy=0.730000
2016-09-24 05:09:01,929 Epoch[2] Batch [44650] Speed: 11.03 samples/sec Train-Accuracy=0.711429
2016-09-24 05:09:38,134 Epoch[2] Batch [44700] Speed: 11.05 samples/sec Train-Accuracy=0.730000
2016-09-24 05:10:18,938 Epoch[2] Batch [44750] Speed: 9.80 samples/sec Train-Accuracy=0.714286
2016-09-24 05:10:58,357 Epoch[2] Batch [44800] Speed: 10.15 samples/sec Train-Accuracy=0.715714
2016-09-24 05:11:38,161 Epoch[2] Batch [44850] Speed: 10.05 samples/sec Train-Accuracy=0.725714
2016-09-24 05:12:17,777 Epoch[2] Batch [44900] Speed: 10.10 samples/sec Train-Accuracy=0.685714
2016-09-24 05:12:56,993 Epoch[2] Batch [44950] Speed: 10.20 samples/sec Train-Accuracy=0.691429
2016-09-24 05:13:33,744 Epoch[2] Batch [45000] Speed: 10.88 samples/sec Train-Accuracy=0.687143
2016-09-24 05:14:10,600 Epoch[2] Batch [45050] Speed: 10.85 samples/sec Train-Accuracy=0.708571
2016-09-24 05:14:47,653 Epoch[2] Batch [45100] Speed: 10.80 samples/sec Train-Accuracy=0.720000
2016-09-24 05:15:23,820 Epoch[2] Batch [45150] Speed: 11.06 samples/sec Train-Accuracy=0.747143
2016-09-24 05:15:59,986 Epoch[2] Batch [45200] Speed: 11.06 samples/sec Train-Accuracy=0.732857
2016-09-24 05:16:36,177 Epoch[2] Batch [45250] Speed: 11.05 samples/sec Train-Accuracy=0.701429
2016-09-24 05:17:12,375 Epoch[2] Batch [45300] Speed: 11.05 samples/sec Train-Accuracy=0.712857
2016-09-24 05:17:48,618 Epoch[2] Batch [45350] Speed: 11.04 samples/sec Train-Accuracy=0.718571
2016-09-24 05:18:24,919 Epoch[2] Batch [45400] Speed: 11.02 samples/sec Train-Accuracy=0.718571
2016-09-24 05:19:01,172 Epoch[2] Batch [45450] Speed: 11.03 samples/sec Train-Accuracy=0.715714
2016-09-24 05:19:37,328 Epoch[2] Batch [45500] Speed: 11.06 samples/sec Train-Accuracy=0.702857
2016-09-24 05:20:13,450 Epoch[2] Batch [45550] Speed: 11.07 samples/sec Train-Accuracy=0.727143
2016-09-24 05:20:49,527 Epoch[2] Batch [45600] Speed: 11.09 samples/sec Train-Accuracy=0.717143
2016-09-24 05:21:25,631 Epoch[2] Batch [45650] Speed: 11.08 samples/sec Train-Accuracy=0.698571
2016-09-24 05:22:01,779 Epoch[2] Batch [45700] Speed: 11.07 samples/sec Train-Accuracy=0.702857
2016-09-24 05:22:37,894 Epoch[2] Batch [45750] Speed: 11.08 samples/sec Train-Accuracy=0.675714
2016-09-24 05:23:14,151 Epoch[2] Batch [45800] Speed: 11.03 samples/sec Train-Accuracy=0.720000
2016-09-24 05:23:51,563 Epoch[2] Batch [45850] Speed: 10.69 samples/sec Train-Accuracy=0.684286
2016-09-24 05:24:32,707 Epoch[2] Batch [45900] Speed: 9.72 samples/sec Train-Accuracy=0.705714
2016-09-24 05:25:11,528 Epoch[2] Batch [45950] Speed: 10.30 samples/sec Train-Accuracy=0.752857
2016-09-24 05:25:48,217 Epoch[2] Batch [46000] Speed: 10.90 samples/sec Train-Accuracy=0.700000
2016-09-24 05:26:24,889 Epoch[2] Batch [46050] Speed: 10.91 samples/sec Train-Accuracy=0.680000
2016-09-24 05:27:02,566 Epoch[2] Batch [46100] Speed: 10.62 samples/sec Train-Accuracy=0.731429
2016-09-24 05:27:43,356 Epoch[2] Batch [46150] Speed: 9.81 samples/sec Train-Accuracy=0.674286
2016-09-24 05:28:21,297 Epoch[2] Batch [46200] Speed: 10.54 samples/sec Train-Accuracy=0.717143
2016-09-24 05:28:57,540 Epoch[2] Batch [46250] Speed: 11.04 samples/sec Train-Accuracy=0.734286
2016-09-24 05:29:33,795 Epoch[2] Batch [46300] Speed: 11.03 samples/sec Train-Accuracy=0.715714
2016-09-24 05:30:10,006 Epoch[2] Batch [46350] Speed: 11.05 samples/sec Train-Accuracy=0.691429
2016-09-24 05:30:46,244 Epoch[2] Batch [46400] Speed: 11.04 samples/sec Train-Accuracy=0.695714
2016-09-24 05:31:22,566 Epoch[2] Batch [46450] Speed: 11.01 samples/sec Train-Accuracy=0.735714
2016-09-24 05:31:58,844 Epoch[2] Batch [46500] Speed: 11.03 samples/sec Train-Accuracy=0.721429
2016-09-24 05:32:35,099 Epoch[2] Batch [46550] Speed: 11.03 samples/sec Train-Accuracy=0.702857
2016-09-24 05:33:11,375 Epoch[2] Batch [46600] Speed: 11.03 samples/sec Train-Accuracy=0.708571
2016-09-24 05:33:47,633 Epoch[2] Batch [46650] Speed: 11.03 samples/sec Train-Accuracy=0.684286
2016-09-24 05:34:23,876 Epoch[2] Batch [46700] Speed: 11.04 samples/sec Train-Accuracy=0.704286
2016-09-24 05:35:00,722 Epoch[2] Batch [46750] Speed: 10.86 samples/sec Train-Accuracy=0.714286
2016-09-24 05:35:37,779 Epoch[2] Batch [46800] Speed: 10.79 samples/sec Train-Accuracy=0.710000
2016-09-24 05:36:15,217 Epoch[2] Batch [46850] Speed: 10.68 samples/sec Train-Accuracy=0.727143
2016-09-24 05:36:52,029 Epoch[2] Batch [46900] Speed: 10.87 samples/sec Train-Accuracy=0.717143
2016-09-24 05:37:28,286 Epoch[2] Batch [46950] Speed: 11.03 samples/sec Train-Accuracy=0.690000
2016-09-24 05:38:04,537 Epoch[2] Batch [47000] Speed: 11.03 samples/sec Train-Accuracy=0.744286
2016-09-24 05:38:40,810 Epoch[2] Batch [47050] Speed: 11.03 samples/sec Train-Accuracy=0.687143
2016-09-24 05:39:17,015 Epoch[2] Batch [47100] Speed: 11.05 samples/sec Train-Accuracy=0.678571
2016-09-24 05:39:54,368 Epoch[2] Batch [47150] Speed: 10.71 samples/sec Train-Accuracy=0.740000
2016-09-24 05:40:32,303 Epoch[2] Batch [47200] Speed: 10.54 samples/sec Train-Accuracy=0.725714
2016-09-24 05:41:10,134 Epoch[2] Batch [47250] Speed: 10.57 samples/sec Train-Accuracy=0.731429
2016-09-24 05:41:47,889 Epoch[2] Batch [47300] Speed: 10.59 samples/sec Train-Accuracy=0.705714
2016-09-24 05:42:25,713 Epoch[2] Batch [47350] Speed: 10.58 samples/sec Train-Accuracy=0.728571
2016-09-24 05:43:03,482 Epoch[2] Batch [47400] Speed: 10.59 samples/sec Train-Accuracy=0.708571
2016-09-24 05:43:41,282 Epoch[2] Batch [47450] Speed: 10.58 samples/sec Train-Accuracy=0.701429
2016-09-24 05:44:19,157 Epoch[2] Batch [47500] Speed: 10.56 samples/sec Train-Accuracy=0.741429
2016-09-24 05:44:59,161 Epoch[2] Batch [47550] Speed: 10.00 samples/sec Train-Accuracy=0.722857
2016-09-24 05:45:38,371 Epoch[2] Batch [47600] Speed: 10.20 samples/sec Train-Accuracy=0.730000
2016-09-24 05:46:17,225 Epoch[2] Batch [47650] Speed: 10.29 samples/sec Train-Accuracy=0.712857
2016-09-24 05:46:56,436 Epoch[2] Batch [47700] Speed: 10.20 samples/sec Train-Accuracy=0.738571
2016-09-24 05:47:34,640 Epoch[2] Batch [47750] Speed: 10.47 samples/sec Train-Accuracy=0.702857
2016-09-24 05:48:12,184 Epoch[2] Batch [47800] Speed: 10.65 samples/sec Train-Accuracy=0.732857
2016-09-24 05:48:49,389 Epoch[2] Batch [47850] Speed: 10.75 samples/sec Train-Accuracy=0.675714
2016-09-24 05:49:25,576 Epoch[2] Batch [47900] Speed: 11.05 samples/sec Train-Accuracy=0.720000
2016-09-24 05:50:02,242 Epoch[2] Batch [47950] Speed: 10.91 samples/sec Train-Accuracy=0.688571
2016-09-24 05:50:38,361 Epoch[2] Batch [48000] Speed: 11.07 samples/sec Train-Accuracy=0.688571
2016-09-24 05:51:14,520 Epoch[2] Batch [48050] Speed: 11.06 samples/sec Train-Accuracy=0.731429
2016-09-24 05:51:50,659 Epoch[2] Batch [48100] Speed: 11.07 samples/sec Train-Accuracy=0.670000
2016-09-24 05:52:26,808 Epoch[2] Batch [48150] Speed: 11.07 samples/sec Train-Accuracy=0.727143
2016-09-24 05:53:03,001 Epoch[2] Batch [48200] Speed: 11.05 samples/sec Train-Accuracy=0.717143
2016-09-24 05:53:39,789 Epoch[2] Batch [48250] Speed: 10.87 samples/sec Train-Accuracy=0.677143
2016-09-24 05:54:16,173 Epoch[2] Batch [48300] Speed: 10.99 samples/sec Train-Accuracy=0.730000
2016-09-24 05:54:52,358 Epoch[2] Batch [48350] Speed: 11.05 samples/sec Train-Accuracy=0.718571
2016-09-24 05:55:28,544 Epoch[2] Batch [48400] Speed: 11.05 samples/sec Train-Accuracy=0.724286
2016-09-24 05:56:05,934 Epoch[2] Batch [48450] Speed: 10.70 samples/sec Train-Accuracy=0.718571
2016-09-24 05:56:42,853 Epoch[2] Batch [48500] Speed: 10.83 samples/sec Train-Accuracy=0.694286
2016-09-24 05:57:19,106 Epoch[2] Batch [48550] Speed: 11.03 samples/sec Train-Accuracy=0.710000
2016-09-24 05:57:55,450 Epoch[2] Batch [48600] Speed: 11.01 samples/sec Train-Accuracy=0.737143
2016-09-24 05:58:31,621 Epoch[2] Batch [48650] Speed: 11.06 samples/sec Train-Accuracy=0.761429
2016-09-24 05:59:10,119 Epoch[2] Batch [48700] Speed: 10.39 samples/sec Train-Accuracy=0.697143
2016-09-24 05:59:49,713 Epoch[2] Batch [48750] Speed: 10.10 samples/sec Train-Accuracy=0.701429
2016-09-24 06:00:29,248 Epoch[2] Batch [48800] Speed: 10.12 samples/sec Train-Accuracy=0.741429
2016-09-24 06:01:06,820 Epoch[2] Batch [48850] Speed: 10.65 samples/sec Train-Accuracy=0.687143
2016-09-24 06:01:43,281 Epoch[2] Batch [48900] Speed: 10.97 samples/sec Train-Accuracy=0.702857
2016-09-24 06:02:20,742 Epoch[2] Batch [48950] Speed: 10.68 samples/sec Train-Accuracy=0.702857
2016-09-24 06:02:58,494 Epoch[2] Batch [49000] Speed: 10.60 samples/sec Train-Accuracy=0.722857
2016-09-24 06:03:36,185 Epoch[2] Batch [49050] Speed: 10.61 samples/sec Train-Accuracy=0.717143
2016-09-24 06:04:13,733 Epoch[2] Batch [49100] Speed: 10.65 samples/sec Train-Accuracy=0.727143
2016-09-24 06:04:50,958 Epoch[2] Batch [49150] Speed: 10.75 samples/sec Train-Accuracy=0.715714
2016-09-24 06:05:28,830 Epoch[2] Batch [49200] Speed: 10.56 samples/sec Train-Accuracy=0.727143
2016-09-24 06:06:06,575 Epoch[2] Batch [49250] Speed: 10.60 samples/sec Train-Accuracy=0.692857
2016-09-24 06:06:44,428 Epoch[2] Batch [49300] Speed: 10.57 samples/sec Train-Accuracy=0.715714
2016-09-24 06:07:22,376 Epoch[2] Batch [49350] Speed: 10.54 samples/sec Train-Accuracy=0.722857
2016-09-24 06:08:00,195 Epoch[2] Batch [49400] Speed: 10.58 samples/sec Train-Accuracy=0.710000
2016-09-24 06:08:37,911 Epoch[2] Batch [49450] Speed: 10.61 samples/sec Train-Accuracy=0.691429
2016-09-24 06:09:14,448 Epoch[2] Batch [49500] Speed: 10.95 samples/sec Train-Accuracy=0.725714
2016-09-24 06:09:50,714 Epoch[2] Batch [49550] Speed: 11.03 samples/sec Train-Accuracy=0.720000
2016-09-24 06:10:26,928 Epoch[2] Batch [49600] Speed: 11.05 samples/sec Train-Accuracy=0.728571
2016-09-24 06:11:03,126 Epoch[2] Batch [49650] Speed: 11.05 samples/sec Train-Accuracy=0.675714
2016-09-24 06:11:39,265 Epoch[2] Batch [49700] Speed: 11.07 samples/sec Train-Accuracy=0.731429
2016-09-24 06:12:15,534 Epoch[2] Batch [49750] Speed: 11.03 samples/sec Train-Accuracy=0.735714
2016-09-24 06:12:51,773 Epoch[2] Batch [49800] Speed: 11.04 samples/sec Train-Accuracy=0.747143
2016-09-24 06:13:27,841 Epoch[2] Batch [49850] Speed: 11.09 samples/sec Train-Accuracy=0.738571
2016-09-24 06:14:04,033 Epoch[2] Batch [49900] Speed: 11.05 samples/sec Train-Accuracy=0.721429
2016-09-24 06:14:40,622 Epoch[2] Batch [49950] Speed: 10.93 samples/sec Train-Accuracy=0.678571
2016-09-24 06:15:20,412 Epoch[2] Batch [50000] Speed: 10.05 samples/sec Train-Accuracy=0.707143
2016-09-24 06:15:58,018 Epoch[2] Batch [50050] Speed: 10.64 samples/sec Train-Accuracy=0.718571
2016-09-24 06:16:39,320 Epoch[2] Batch [50100] Speed: 9.68 samples/sec Train-Accuracy=0.710000
2016-09-24 06:17:17,772 Epoch[2] Batch [50150] Speed: 10.40 samples/sec Train-Accuracy=0.701429
2016-09-24 06:17:55,965 Epoch[2] Batch [50200] Speed: 10.47 samples/sec Train-Accuracy=0.737143
2016-09-24 06:18:34,452 Epoch[2] Batch [50250] Speed: 10.39 samples/sec Train-Accuracy=0.687143
2016-09-24 06:19:12,421 Epoch[2] Batch [50300] Speed: 10.53 samples/sec Train-Accuracy=0.731429
2016-09-24 06:19:50,765 Epoch[2] Batch [50350] Speed: 10.43 samples/sec Train-Accuracy=0.727143
2016-09-24 06:20:28,681 Epoch[2] Batch [50400] Speed: 10.55 samples/sec Train-Accuracy=0.721429
2016-09-24 06:21:06,950 Epoch[2] Batch [50450] Speed: 10.45 samples/sec Train-Accuracy=0.694286
2016-09-24 06:21:45,245 Epoch[2] Batch [50500] Speed: 10.45 samples/sec Train-Accuracy=0.692857
2016-09-24 06:22:24,048 Epoch[2] Batch [50550] Speed: 10.31 samples/sec Train-Accuracy=0.715714
2016-09-24 06:23:02,145 Epoch[2] Batch [50600] Speed: 10.50 samples/sec Train-Accuracy=0.744286
2016-09-24 06:23:40,064 Epoch[2] Batch [50650] Speed: 10.55 samples/sec Train-Accuracy=0.708571
2016-09-24 06:24:18,098 Epoch[2] Batch [50700] Speed: 10.52 samples/sec Train-Accuracy=0.731429
2016-09-24 06:24:57,310 Epoch[2] Batch [50750] Speed: 10.20 samples/sec Train-Accuracy=0.740000
2016-09-24 06:25:35,331 Epoch[2] Batch [50800] Speed: 10.52 samples/sec Train-Accuracy=0.691429
2016-09-24 06:26:15,023 Epoch[2] Batch [50850] Speed: 10.08 samples/sec Train-Accuracy=0.728571
2016-09-24 06:26:54,173 Epoch[2] Batch [50900] Speed: 10.22 samples/sec Train-Accuracy=0.711429
2016-09-24 06:27:32,965 Epoch[2] Batch [50950] Speed: 10.31 samples/sec Train-Accuracy=0.727143
2016-09-24 06:28:11,318 Epoch[2] Batch [51000] Speed: 10.43 samples/sec Train-Accuracy=0.707143
2016-09-24 06:28:50,106 Epoch[2] Batch [51050] Speed: 10.31 samples/sec Train-Accuracy=0.721429
2016-09-24 06:29:29,241 Epoch[2] Batch [51100] Speed: 10.22 samples/sec Train-Accuracy=0.708571
2016-09-24 06:30:06,991 Epoch[2] Batch [51150] Speed: 10.60 samples/sec Train-Accuracy=0.682857
2016-09-24 06:30:43,360 Epoch[2] Batch [51200] Speed: 11.00 samples/sec Train-Accuracy=0.728571
2016-09-24 06:31:19,882 Epoch[2] Batch [51250] Speed: 10.95 samples/sec Train-Accuracy=0.694286
2016-09-24 06:31:56,341 Epoch[2] Batch [51300] Speed: 10.97 samples/sec Train-Accuracy=0.721429
2016-09-24 06:32:32,761 Epoch[2] Batch [51350] Speed: 10.98 samples/sec Train-Accuracy=0.710000
2016-09-24 06:33:09,108 Epoch[2] Batch [51400] Speed: 11.00 samples/sec Train-Accuracy=0.707143
2016-09-24 06:33:45,393 Epoch[2] Batch [51450] Speed: 11.02 samples/sec Train-Accuracy=0.758571
2016-09-24 06:34:21,700 Epoch[2] Batch [51500] Speed: 11.02 samples/sec Train-Accuracy=0.708571
2016-09-24 06:34:58,054 Epoch[2] Batch [51550] Speed: 11.00 samples/sec Train-Accuracy=0.724286
2016-09-24 06:35:36,645 Epoch[2] Batch [51600] Speed: 10.37 samples/sec Train-Accuracy=0.711429
2016-09-24 06:36:14,773 Epoch[2] Batch [51650] Speed: 10.49 samples/sec Train-Accuracy=0.710000
2016-09-24 06:36:51,125 Epoch[2] Batch [51700] Speed: 11.00 samples/sec Train-Accuracy=0.722857
2016-09-24 06:37:30,885 Epoch[2] Batch [51750] Speed: 10.06 samples/sec Train-Accuracy=0.730000
2016-09-24 06:38:13,022 Epoch[2] Batch [51800] Speed: 9.49 samples/sec Train-Accuracy=0.721429
2016-09-24 06:38:49,873 Epoch[2] Batch [51850] Speed: 10.85 samples/sec Train-Accuracy=0.711429
2016-09-24 06:39:26,242 Epoch[2] Batch [51900] Speed: 11.00 samples/sec Train-Accuracy=0.721429
2016-09-24 06:40:02,637 Epoch[2] Batch [51950] Speed: 10.99 samples/sec Train-Accuracy=0.748571
2016-09-24 06:40:39,075 Epoch[2] Batch [52000] Speed: 10.98 samples/sec Train-Accuracy=0.688571
2016-09-24 06:41:18,759 Epoch[2] Batch [52050] Speed: 10.08 samples/sec Train-Accuracy=0.725714
2016-09-24 06:41:59,948 Epoch[2] Batch [52100] Speed: 9.71 samples/sec Train-Accuracy=0.722857
2016-09-24 06:42:40,497 Epoch[2] Batch [52150] Speed: 9.86 samples/sec Train-Accuracy=0.725714
2016-09-24 06:43:21,115 Epoch[2] Batch [52200] Speed: 9.85 samples/sec Train-Accuracy=0.692857
2016-09-24 06:44:01,345 Epoch[2] Batch [52250] Speed: 9.94 samples/sec Train-Accuracy=0.702857
2016-09-24 06:44:41,346 Epoch[2] Batch [52300] Speed: 10.00 samples/sec Train-Accuracy=0.724286
2016-09-24 06:45:20,330 Epoch[2] Batch [52350] Speed: 10.26 samples/sec Train-Accuracy=0.730000
2016-09-24 06:45:59,066 Epoch[2] Batch [52400] Speed: 10.33 samples/sec Train-Accuracy=0.711429
2016-09-24 06:46:37,172 Epoch[2] Batch [52450] Speed: 10.50 samples/sec Train-Accuracy=0.745714
2016-09-24 06:47:17,421 Epoch[2] Batch [52500] Speed: 9.94 samples/sec Train-Accuracy=0.727143
2016-09-24 06:47:58,514 Epoch[2] Batch [52550] Speed: 9.73 samples/sec Train-Accuracy=0.691429
2016-09-24 06:48:39,092 Epoch[2] Batch [52600] Speed: 9.86 samples/sec Train-Accuracy=0.742857
2016-09-24 06:49:19,590 Epoch[2] Batch [52650] Speed: 9.88 samples/sec Train-Accuracy=0.761429
2016-09-24 06:50:00,048 Epoch[2] Batch [52700] Speed: 9.89 samples/sec Train-Accuracy=0.740000
2016-09-24 06:50:40,258 Epoch[2] Batch [52750] Speed: 9.95 samples/sec Train-Accuracy=0.721429
2016-09-24 06:51:18,579 Epoch[2] Batch [52800] Speed: 10.44 samples/sec Train-Accuracy=0.744286
2016-09-24 06:51:56,628 Epoch[2] Batch [52850] Speed: 10.51 samples/sec Train-Accuracy=0.740000
2016-09-24 06:52:34,857 Epoch[2] Batch [52900] Speed: 10.46 samples/sec Train-Accuracy=0.727143
2016-09-24 06:53:12,925 Epoch[2] Batch [52950] Speed: 10.51 samples/sec Train-Accuracy=0.687143
2016-09-24 06:53:51,143 Epoch[2] Batch [53000] Speed: 10.47 samples/sec Train-Accuracy=0.742857
2016-09-24 06:54:32,211 Epoch[2] Batch [53050] Speed: 9.74 samples/sec Train-Accuracy=0.728571
2016-09-24 06:55:10,586 Epoch[2] Batch [53100] Speed: 10.42 samples/sec Train-Accuracy=0.720000
2016-09-24 06:55:49,789 Epoch[2] Batch [53150] Speed: 10.20 samples/sec Train-Accuracy=0.705714
2016-09-24 06:56:30,604 Epoch[2] Batch [53200] Speed: 9.80 samples/sec Train-Accuracy=0.694286
2016-09-24 06:57:09,360 Epoch[2] Batch [53250] Speed: 10.32 samples/sec Train-Accuracy=0.712857
2016-09-24 06:57:47,853 Epoch[2] Batch [53300] Speed: 10.39 samples/sec Train-Accuracy=0.721429
2016-09-24 06:58:25,639 Epoch[2] Batch [53350] Speed: 10.59 samples/sec Train-Accuracy=0.721429
2016-09-24 06:59:03,755 Epoch[2] Batch [53400] Speed: 10.49 samples/sec Train-Accuracy=0.727143
2016-09-24 06:59:41,544 Epoch[2] Batch [53450] Speed: 10.59 samples/sec Train-Accuracy=0.702857
2016-09-24 07:00:19,514 Epoch[2] Batch [53500] Speed: 10.53 samples/sec Train-Accuracy=0.727143
2016-09-24 07:00:57,476 Epoch[2] Batch [53550] Speed: 10.54 samples/sec Train-Accuracy=0.731429
2016-09-24 07:01:35,638 Epoch[2] Batch [53600] Speed: 10.48 samples/sec Train-Accuracy=0.747143
2016-09-24 07:02:13,523 Epoch[2] Batch [53650] Speed: 10.56 samples/sec Train-Accuracy=0.752857
2016-09-24 07:02:51,371 Epoch[2] Batch [53700] Speed: 10.57 samples/sec Train-Accuracy=0.702857
2016-09-24 07:03:29,870 Epoch[2] Batch [53750] Speed: 10.39 samples/sec Train-Accuracy=0.728571
2016-09-24 07:04:07,802 Epoch[2] Batch [53800] Speed: 10.55 samples/sec Train-Accuracy=0.710000
2016-09-24 07:04:46,004 Epoch[2] Batch [53850] Speed: 10.47 samples/sec Train-Accuracy=0.740000
2016-09-24 07:05:26,357 Epoch[2] Batch [53900] Speed: 9.91 samples/sec Train-Accuracy=0.728571
2016-09-24 07:06:06,066 Epoch[2] Batch [53950] Speed: 10.07 samples/sec Train-Accuracy=0.702857
2016-09-24 07:06:44,042 Epoch[2] Batch [54000] Speed: 10.53 samples/sec Train-Accuracy=0.722857
2016-09-24 07:07:22,309 Epoch[2] Batch [54050] Speed: 10.45 samples/sec Train-Accuracy=0.702857
2016-09-24 07:08:00,359 Epoch[2] Batch [54100] Speed: 10.51 samples/sec Train-Accuracy=0.745714
2016-09-24 07:08:38,096 Epoch[2] Batch [54150] Speed: 10.60 samples/sec Train-Accuracy=0.708571
2016-09-24 07:09:16,021 Epoch[2] Batch [54200] Speed: 10.55 samples/sec Train-Accuracy=0.714286
2016-09-24 07:09:53,798 Epoch[2] Batch [54250] Speed: 10.59 samples/sec Train-Accuracy=0.708571
2016-09-24 07:10:31,904 Epoch[2] Batch [54300] Speed: 10.50 samples/sec Train-Accuracy=0.674286
2016-09-24 07:11:09,946 Epoch[2] Batch [54350] Speed: 10.51 samples/sec Train-Accuracy=0.712857
2016-09-24 07:11:47,826 Epoch[2] Batch [54400] Speed: 10.56 samples/sec Train-Accuracy=0.745714
2016-09-24 07:12:25,872 Epoch[2] Batch [54450] Speed: 10.51 samples/sec Train-Accuracy=0.758571
2016-09-24 07:13:03,885 Epoch[2] Batch [54500] Speed: 10.52 samples/sec Train-Accuracy=0.728571
2016-09-24 07:13:41,868 Epoch[2] Batch [54550] Speed: 10.53 samples/sec Train-Accuracy=0.772857
2016-09-24 07:14:20,070 Epoch[2] Batch [54600] Speed: 10.47 samples/sec Train-Accuracy=0.700000
2016-09-24 07:14:57,716 Epoch[2] Batch [54650] Speed: 10.63 samples/sec Train-Accuracy=0.700000
2016-09-24 07:15:35,342 Epoch[2] Batch [54700] Speed: 10.63 samples/sec Train-Accuracy=0.727143
2016-09-24 07:16:12,428 Epoch[2] Batch [54750] Speed: 10.79 samples/sec Train-Accuracy=0.682857
2016-09-24 07:16:49,191 Epoch[2] Batch [54800] Speed: 10.88 samples/sec Train-Accuracy=0.750000
2016-09-24 07:17:25,968 Epoch[2] Batch [54850] Speed: 10.88 samples/sec Train-Accuracy=0.697143
2016-09-24 07:18:02,714 Epoch[2] Batch [54900] Speed: 10.89 samples/sec Train-Accuracy=0.701429
2016-09-24 07:18:42,225 Epoch[2] Batch [54950] Speed: 10.12 samples/sec Train-Accuracy=0.727143
2016-09-24 07:19:21,283 Epoch[2] Batch [55000] Speed: 10.24 samples/sec Train-Accuracy=0.704286
2016-09-24 07:19:59,471 Epoch[2] Batch [55050] Speed: 10.47 samples/sec Train-Accuracy=0.725714
2016-09-24 07:20:39,597 Epoch[2] Batch [55100] Speed: 9.97 samples/sec Train-Accuracy=0.731429
2016-09-24 07:21:20,261 Epoch[2] Batch [55150] Speed: 9.84 samples/sec Train-Accuracy=0.734286
2016-09-24 07:22:00,466 Epoch[2] Batch [55200] Speed: 9.95 samples/sec Train-Accuracy=0.730000
2016-09-24 07:22:41,065 Epoch[2] Batch [55250] Speed: 9.85 samples/sec Train-Accuracy=0.728571
2016-09-24 07:23:20,753 Epoch[2] Batch [55300] Speed: 10.08 samples/sec Train-Accuracy=0.757143
2016-09-24 07:24:00,053 Epoch[2] Batch [55350] Speed: 10.18 samples/sec Train-Accuracy=0.727143
2016-09-24 07:24:39,344 Epoch[2] Batch [55400] Speed: 10.18 samples/sec Train-Accuracy=0.722857
2016-09-24 07:25:18,711 Epoch[2] Batch [55450] Speed: 10.16 samples/sec Train-Accuracy=0.712857
2016-09-24 07:25:59,423 Epoch[2] Batch [55500] Speed: 9.83 samples/sec Train-Accuracy=0.715714
2016-09-24 07:26:38,549 Epoch[2] Batch [55550] Speed: 10.22 samples/sec Train-Accuracy=0.740000
2016-09-24 07:27:16,946 Epoch[2] Batch [55600] Speed: 10.42 samples/sec Train-Accuracy=0.717143
2016-09-24 07:27:56,024 Epoch[2] Batch [55650] Speed: 10.24 samples/sec Train-Accuracy=0.730000
2016-09-24 07:28:35,974 Epoch[2] Batch [55700] Speed: 10.01 samples/sec Train-Accuracy=0.647143
2016-09-24 07:29:16,202 Epoch[2] Batch [55750] Speed: 9.94 samples/sec Train-Accuracy=0.715714
2016-09-24 07:29:55,939 Epoch[2] Batch [55800] Speed: 10.07 samples/sec Train-Accuracy=0.758571
2016-09-24 07:30:35,588 Epoch[2] Batch [55850] Speed: 10.09 samples/sec Train-Accuracy=0.737143
2016-09-24 07:31:15,083 Epoch[2] Batch [55900] Speed: 10.13 samples/sec Train-Accuracy=0.721429
2016-09-24 07:31:54,772 Epoch[2] Batch [55950] Speed: 10.08 samples/sec Train-Accuracy=0.728571
2016-09-24 07:32:34,477 Epoch[2] Batch [56000] Speed: 10.07 samples/sec Train-Accuracy=0.714286
2016-09-24 07:33:14,437 Epoch[2] Batch [56050] Speed: 10.01 samples/sec Train-Accuracy=0.715714
2016-09-24 07:33:54,513 Epoch[2] Batch [56100] Speed: 9.98 samples/sec Train-Accuracy=0.678571
2016-09-24 07:34:34,112 Epoch[2] Batch [56150] Speed: 10.10 samples/sec Train-Accuracy=0.712857
2016-09-24 07:35:13,263 Epoch[2] Batch [56200] Speed: 10.22 samples/sec Train-Accuracy=0.681429
2016-09-24 07:35:53,149 Epoch[2] Batch [56250] Speed: 10.03 samples/sec Train-Accuracy=0.714286
2016-09-24 07:36:33,035 Epoch[2] Batch [56300] Speed: 10.03 samples/sec Train-Accuracy=0.722857
2016-09-24 07:37:12,472 Epoch[2] Batch [56350] Speed: 10.14 samples/sec Train-Accuracy=0.721429
2016-09-24 07:37:52,261 Epoch[2] Batch [56400] Speed: 10.05 samples/sec Train-Accuracy=0.742857
2016-09-24 07:38:31,653 Epoch[2] Batch [56450] Speed: 10.15 samples/sec Train-Accuracy=0.721429
2016-09-24 07:39:10,330 Epoch[2] Batch [56500] Speed: 10.34 samples/sec Train-Accuracy=0.751429
2016-09-24 07:39:50,083 Epoch[2] Batch [56550] Speed: 10.06 samples/sec Train-Accuracy=0.724286
2016-09-24 07:40:29,401 Epoch[2] Batch [56600] Speed: 10.17 samples/sec Train-Accuracy=0.744286
2016-09-24 07:41:07,855 Epoch[2] Batch [56650] Speed: 10.40 samples/sec Train-Accuracy=0.724286
2016-09-24 07:41:46,285 Epoch[2] Batch [56700] Speed: 10.41 samples/sec Train-Accuracy=0.754286
2016-09-24 07:42:25,938 Epoch[2] Batch [56750] Speed: 10.09 samples/sec Train-Accuracy=0.737143
2016-09-24 07:43:05,660 Epoch[2] Batch [56800] Speed: 10.07 samples/sec Train-Accuracy=0.715714
2016-09-24 07:43:44,003 Epoch[2] Batch [56850] Speed: 10.43 samples/sec Train-Accuracy=0.745714
2016-09-24 07:44:22,566 Epoch[2] Batch [56900] Speed: 10.37 samples/sec Train-Accuracy=0.674286
2016-09-24 07:45:00,314 Epoch[2] Batch [56950] Speed: 10.60 samples/sec Train-Accuracy=0.710000
2016-09-24 07:45:38,024 Epoch[2] Batch [57000] Speed: 10.61 samples/sec Train-Accuracy=0.737143
2016-09-24 07:46:16,700 Epoch[2] Batch [57050] Speed: 10.34 samples/sec Train-Accuracy=0.758571
2016-09-24 07:46:55,102 Epoch[2] Batch [57100] Speed: 10.42 samples/sec Train-Accuracy=0.718571
2016-09-24 07:47:33,377 Epoch[2] Batch [57150] Speed: 10.45 samples/sec Train-Accuracy=0.765714
2016-09-24 07:48:10,835 Epoch[2] Batch [57200] Speed: 10.68 samples/sec Train-Accuracy=0.750000
2016-09-24 07:48:47,492 Epoch[2] Batch [57250] Speed: 10.91 samples/sec Train-Accuracy=0.718571
2016-09-24 07:49:23,812 Epoch[2] Batch [57300] Speed: 11.01 samples/sec Train-Accuracy=0.760000
2016-09-24 07:50:00,053 Epoch[2] Batch [57350] Speed: 11.04 samples/sec Train-Accuracy=0.724286
2016-09-24 07:50:36,409 Epoch[2] Batch [57400] Speed: 11.00 samples/sec Train-Accuracy=0.724286
2016-09-24 07:51:12,755 Epoch[2] Batch [57450] Speed: 11.01 samples/sec Train-Accuracy=0.734286
2016-09-24 07:51:48,968 Epoch[2] Batch [57500] Speed: 11.05 samples/sec Train-Accuracy=0.707143
2016-09-24 07:52:25,084 Epoch[2] Batch [57550] Speed: 11.08 samples/sec Train-Accuracy=0.745714
2016-09-24 07:53:03,901 Epoch[2] Batch [57600] Speed: 10.30 samples/sec Train-Accuracy=0.708571
2016-09-24 07:53:42,371 Epoch[2] Batch [57650] Speed: 10.40 samples/sec Train-Accuracy=0.755714
2016-09-24 07:54:21,988 Epoch[2] Batch [57700] Speed: 10.10 samples/sec Train-Accuracy=0.702857
2016-09-24 07:55:00,330 Epoch[2] Batch [57750] Speed: 10.43 samples/sec Train-Accuracy=0.745714
2016-09-24 07:55:39,071 Epoch[2] Batch [57800] Speed: 10.32 samples/sec Train-Accuracy=0.727143
2016-09-24 07:56:15,862 Epoch[2] Batch [57850] Speed: 10.87 samples/sec Train-Accuracy=0.721429
2016-09-24 07:56:52,308 Epoch[2] Batch [57900] Speed: 10.98 samples/sec Train-Accuracy=0.765714
2016-09-24 07:57:28,814 Epoch[2] Batch [57950] Speed: 10.96 samples/sec Train-Accuracy=0.757143
2016-09-24 07:58:05,278 Epoch[2] Batch [58000] Speed: 10.97 samples/sec Train-Accuracy=0.730000
2016-09-24 07:58:41,830 Epoch[2] Batch [58050] Speed: 10.94 samples/sec Train-Accuracy=0.712857
2016-09-24 07:59:17,997 Epoch[2] Batch [58100] Speed: 11.06 samples/sec Train-Accuracy=0.725714
2016-09-24 07:59:55,524 Epoch[2] Batch [58150] Speed: 10.66 samples/sec Train-Accuracy=0.722857
2016-09-24 08:00:33,736 Epoch[2] Batch [58200] Speed: 10.47 samples/sec Train-Accuracy=0.707143
2016-09-24 08:01:12,014 Epoch[2] Batch [58250] Speed: 10.45 samples/sec Train-Accuracy=0.727143
2016-09-24 08:01:51,083 Epoch[2] Batch [58300] Speed: 10.24 samples/sec Train-Accuracy=0.740000
2016-09-24 08:02:30,460 Epoch[2] Batch [58350] Speed: 10.16 samples/sec Train-Accuracy=0.741429
2016-09-24 08:03:10,833 Epoch[2] Batch [58400] Speed: 9.91 samples/sec Train-Accuracy=0.707143
2016-09-24 08:03:49,701 Epoch[2] Batch [58450] Speed: 10.29 samples/sec Train-Accuracy=0.718571
2016-09-24 08:04:28,240 Epoch[2] Batch [58500] Speed: 10.38 samples/sec Train-Accuracy=0.717143
2016-09-24 08:05:06,736 Epoch[2] Batch [58550] Speed: 10.39 samples/sec Train-Accuracy=0.752857
2016-09-24 08:05:45,267 Epoch[2] Batch [58600] Speed: 10.38 samples/sec Train-Accuracy=0.697143
2016-09-24 08:06:23,875 Epoch[2] Batch [58650] Speed: 10.36 samples/sec Train-Accuracy=0.725714
2016-09-24 08:07:02,296 Epoch[2] Batch [58700] Speed: 10.41 samples/sec Train-Accuracy=0.731429
2016-09-24 08:07:40,694 Epoch[2] Batch [58750] Speed: 10.42 samples/sec Train-Accuracy=0.714286
2016-09-24 08:08:19,317 Epoch[2] Batch [58800] Speed: 10.36 samples/sec Train-Accuracy=0.770000
2016-09-24 08:08:57,810 Epoch[2] Batch [58850] Speed: 10.39 samples/sec Train-Accuracy=0.740000
2016-09-24 08:09:36,339 Epoch[2] Batch [58900] Speed: 10.38 samples/sec Train-Accuracy=0.738571
2016-09-24 08:10:16,097 Epoch[2] Batch [58950] Speed: 10.06 samples/sec Train-Accuracy=0.702857
2016-09-24 08:10:55,404 Epoch[2] Batch [59000] Speed: 10.18 samples/sec Train-Accuracy=0.750000
2016-09-24 08:11:34,322 Epoch[2] Batch [59050] Speed: 10.28 samples/sec Train-Accuracy=0.722857
2016-09-24 08:12:13,732 Epoch[2] Batch [59100] Speed: 10.15 samples/sec Train-Accuracy=0.701429
2016-09-24 08:12:52,173 Epoch[2] Batch [59150] Speed: 10.41 samples/sec Train-Accuracy=0.694286
2016-09-24 08:13:30,687 Epoch[2] Batch [59200] Speed: 10.39 samples/sec Train-Accuracy=0.762857
2016-09-24 08:14:09,129 Epoch[2] Batch [59250] Speed: 10.41 samples/sec Train-Accuracy=0.712857
2016-09-24 08:14:47,579 Epoch[2] Batch [59300] Speed: 10.40 samples/sec Train-Accuracy=0.755714
2016-09-24 08:15:26,216 Epoch[2] Batch [59350] Speed: 10.35 samples/sec Train-Accuracy=0.757143
2016-09-24 08:16:04,490 Epoch[2] Batch [59400] Speed: 10.45 samples/sec Train-Accuracy=0.684286
2016-09-24 08:16:41,311 Epoch[2] Batch [59450] Speed: 10.86 samples/sec Train-Accuracy=0.690000
2016-09-24 08:17:18,777 Epoch[2] Batch [59500] Speed: 10.68 samples/sec Train-Accuracy=0.750000
2016-09-24 08:17:56,245 Epoch[2] Batch [59550] Speed: 10.68 samples/sec Train-Accuracy=0.750000
2016-09-24 08:18:33,917 Epoch[2] Batch [59600] Speed: 10.62 samples/sec Train-Accuracy=0.727143
2016-09-24 08:19:11,663 Epoch[2] Batch [59650] Speed: 10.60 samples/sec Train-Accuracy=0.704286
2016-09-24 08:19:47,829 Epoch[2] Batch [59700] Speed: 11.06 samples/sec Train-Accuracy=0.737143
2016-09-24 08:20:23,976 Epoch[2] Batch [59750] Speed: 11.07 samples/sec Train-Accuracy=0.740000
2016-09-24 08:21:00,377 Epoch[2] Batch [59800] Speed: 10.99 samples/sec Train-Accuracy=0.734286
2016-09-24 08:21:36,478 Epoch[2] Batch [59850] Speed: 11.08 samples/sec Train-Accuracy=0.744286
2016-09-24 08:22:12,541 Epoch[2] Batch [59900] Speed: 11.09 samples/sec Train-Accuracy=0.745714
2016-09-24 08:22:48,658 Epoch[2] Batch [59950] Speed: 11.08 samples/sec Train-Accuracy=0.694286
2016-09-24 08:23:24,718 Epoch[2] Batch [60000] Speed: 11.09 samples/sec Train-Accuracy=0.711429
2016-09-24 08:24:03,014 Epoch[2] Batch [60050] Speed: 10.45 samples/sec Train-Accuracy=0.712857
2016-09-24 08:24:41,443 Epoch[2] Batch [60100] Speed: 10.41 samples/sec Train-Accuracy=0.714286
2016-09-24 08:25:20,851 Epoch[2] Batch [60150] Speed: 10.15 samples/sec Train-Accuracy=0.712857
2016-09-24 08:26:00,192 Epoch[2] Batch [60200] Speed: 10.17 samples/sec Train-Accuracy=0.711429
2016-09-24 08:26:40,032 Epoch[2] Batch [60250] Speed: 10.04 samples/sec Train-Accuracy=0.737143
2016-09-24 08:27:18,677 Epoch[2] Batch [60300] Speed: 10.35 samples/sec Train-Accuracy=0.714286
2016-09-24 08:27:56,929 Epoch[2] Batch [60350] Speed: 10.46 samples/sec Train-Accuracy=0.701429
2016-09-24 08:28:34,706 Epoch[2] Batch [60400] Speed: 10.59 samples/sec Train-Accuracy=0.754286
2016-09-24 08:29:12,575 Epoch[2] Batch [60450] Speed: 10.56 samples/sec Train-Accuracy=0.737143
2016-09-24 08:29:50,287 Epoch[2] Batch [60500] Speed: 10.61 samples/sec Train-Accuracy=0.730000
2016-09-24 08:30:27,975 Epoch[2] Batch [60550] Speed: 10.61 samples/sec Train-Accuracy=0.758571
2016-09-24 08:31:05,677 Epoch[2] Batch [60600] Speed: 10.61 samples/sec Train-Accuracy=0.751429
2016-09-24 08:31:43,322 Epoch[2] Batch [60650] Speed: 10.63 samples/sec Train-Accuracy=0.698571
2016-09-24 08:32:20,918 Epoch[2] Batch [60700] Speed: 10.64 samples/sec Train-Accuracy=0.727143
2016-09-24 08:32:58,559 Epoch[2] Batch [60750] Speed: 10.63 samples/sec Train-Accuracy=0.694286
2016-09-24 08:33:36,218 Epoch[2] Batch [60800] Speed: 10.62 samples/sec Train-Accuracy=0.742857
2016-09-24 08:34:13,887 Epoch[2] Batch [60850] Speed: 10.62 samples/sec Train-Accuracy=0.745714
2016-09-24 08:34:53,092 Epoch[2] Batch [60900] Speed: 10.20 samples/sec Train-Accuracy=0.755714
2016-09-24 08:35:31,225 Epoch[2] Batch [60950] Speed: 10.49 samples/sec Train-Accuracy=0.724286
2016-09-24 08:36:09,157 Epoch[2] Batch [61000] Speed: 10.55 samples/sec Train-Accuracy=0.742857
2016-09-24 08:36:47,043 Epoch[2] Batch [61050] Speed: 10.56 samples/sec Train-Accuracy=0.711429
2016-09-24 08:37:25,950 Epoch[2] Batch [61100] Speed: 10.28 samples/sec Train-Accuracy=0.758571
2016-09-24 08:38:03,926 Epoch[2] Batch [61150] Speed: 10.53 samples/sec Train-Accuracy=0.714286
2016-09-24 08:38:41,604 Epoch[2] Batch [61200] Speed: 10.62 samples/sec Train-Accuracy=0.730000
2016-09-24 08:39:20,814 Epoch[2] Batch [61250] Speed: 10.20 samples/sec Train-Accuracy=0.760000
2016-09-24 08:40:00,296 Epoch[2] Batch [61300] Speed: 10.13 samples/sec Train-Accuracy=0.721429
2016-09-24 08:40:39,184 Epoch[2] Batch [61350] Speed: 10.29 samples/sec Train-Accuracy=0.707143
2016-09-24 08:41:16,946 Epoch[2] Batch [61400] Speed: 10.59 samples/sec Train-Accuracy=0.730000
2016-09-24 08:41:56,856 Epoch[2] Batch [61450] Speed: 10.02 samples/sec Train-Accuracy=0.754286
2016-09-24 08:42:34,886 Epoch[2] Batch [61500] Speed: 10.52 samples/sec Train-Accuracy=0.705714
2016-09-24 08:43:12,765 Epoch[2] Batch [61550] Speed: 10.56 samples/sec Train-Accuracy=0.730000
2016-09-24 08:43:50,758 Epoch[2] Batch [61600] Speed: 10.53 samples/sec Train-Accuracy=0.748571
2016-09-24 08:44:28,424 Epoch[2] Batch [61650] Speed: 10.62 samples/sec Train-Accuracy=0.742857
2016-09-24 08:45:05,587 Epoch[2] Batch [61700] Speed: 10.76 samples/sec Train-Accuracy=0.731429
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2016-09-24 08:48:11,121 Epoch[2] Batch [61950] Speed: 10.77 samples/sec Train-Accuracy=0.750000
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2016-09-24 08:50:03,706 Epoch[2] Batch [62100] Speed: 10.45 samples/sec Train-Accuracy=0.704286
2016-09-24 08:50:41,981 Epoch[2] Batch [62150] Speed: 10.45 samples/sec Train-Accuracy=0.762857
2016-09-24 08:51:20,412 Epoch[2] Batch [62200] Speed: 10.41 samples/sec Train-Accuracy=0.751429
2016-09-24 08:51:58,703 Epoch[2] Batch [62250] Speed: 10.45 samples/sec Train-Accuracy=0.760000
2016-09-24 08:52:35,620 Epoch[2] Batch [62300] Speed: 10.84 samples/sec Train-Accuracy=0.758571
2016-09-24 08:53:12,566 Epoch[2] Batch [62350] Speed: 10.83 samples/sec Train-Accuracy=0.707143
2016-09-24 08:53:49,524 Epoch[2] Batch [62400] Speed: 10.82 samples/sec Train-Accuracy=0.735714
2016-09-24 08:54:26,488 Epoch[2] Batch [62450] Speed: 10.82 samples/sec Train-Accuracy=0.695714
2016-09-24 08:55:03,627 Epoch[2] Batch [62500] Speed: 10.77 samples/sec Train-Accuracy=0.728571
2016-09-24 08:55:03,628 Epoch[2] Resetting Data Iterator
2016-09-24 08:55:03,628 Epoch[2] Time cost=47037.037
2016-09-24 08:55:55,747 Epoch[2] Validation-Accuracy=0.740571
2016-09-24 08:56:32,050 Epoch[3] Batch [50] Speed: 11.19 samples/sec Train-Accuracy=0.747143
2016-09-24 08:57:08,397 Epoch[3] Batch [100] Speed: 11.01 samples/sec Train-Accuracy=0.741429
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2016-09-24 08:59:33,195 Epoch[3] Batch [300] Speed: 11.06 samples/sec Train-Accuracy=0.721429
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2016-09-24 09:20:31,828 Epoch[3] Batch [2000] Speed: 10.98 samples/sec Train-Accuracy=0.727143
2016-09-24 09:21:07,814 Epoch[3] Batch [2050] Speed: 11.12 samples/sec Train-Accuracy=0.748571
2016-09-24 09:21:43,753 Epoch[3] Batch [2100] Speed: 11.13 samples/sec Train-Accuracy=0.738571
2016-09-24 09:22:19,716 Epoch[3] Batch [2150] Speed: 11.12 samples/sec Train-Accuracy=0.752857
2016-09-24 09:22:55,644 Epoch[3] Batch [2200] Speed: 11.13 samples/sec Train-Accuracy=0.748571
2016-09-24 09:23:31,492 Epoch[3] Batch [2250] Speed: 11.16 samples/sec Train-Accuracy=0.727143
2016-09-24 09:24:07,354 Epoch[3] Batch [2300] Speed: 11.15 samples/sec Train-Accuracy=0.740000
2016-09-24 09:24:43,182 Epoch[3] Batch [2350] Speed: 11.16 samples/sec Train-Accuracy=0.740000
2016-09-24 09:25:18,977 Epoch[3] Batch [2400] Speed: 11.17 samples/sec Train-Accuracy=0.764286
2016-09-24 09:25:54,759 Epoch[3] Batch [2450] Speed: 11.18 samples/sec Train-Accuracy=0.740000
2016-09-24 09:26:30,562 Epoch[3] Batch [2500] Speed: 11.17 samples/sec Train-Accuracy=0.735714
2016-09-24 09:27:06,317 Epoch[3] Batch [2550] Speed: 11.19 samples/sec Train-Accuracy=0.751429
2016-09-24 09:27:42,081 Epoch[3] Batch [2600] Speed: 11.18 samples/sec Train-Accuracy=0.725714
2016-09-24 09:28:17,897 Epoch[3] Batch [2650] Speed: 11.17 samples/sec Train-Accuracy=0.718571
2016-09-24 09:28:53,725 Epoch[3] Batch [2700] Speed: 11.16 samples/sec Train-Accuracy=0.760000
2016-09-24 09:29:29,561 Epoch[3] Batch [2750] Speed: 11.16 samples/sec Train-Accuracy=0.740000
2016-09-24 09:30:05,411 Epoch[3] Batch [2800] Speed: 11.16 samples/sec Train-Accuracy=0.708571
2016-09-24 09:30:41,215 Epoch[3] Batch [2850] Speed: 11.17 samples/sec Train-Accuracy=0.751429
2016-09-24 09:31:17,151 Epoch[3] Batch [2900] Speed: 11.13 samples/sec Train-Accuracy=0.722857
2016-09-24 09:31:53,020 Epoch[3] Batch [2950] Speed: 11.15 samples/sec Train-Accuracy=0.755714
2016-09-24 09:32:28,865 Epoch[3] Batch [3000] Speed: 11.16 samples/sec Train-Accuracy=0.730000
2016-09-24 09:33:04,699 Epoch[3] Batch [3050] Speed: 11.16 samples/sec Train-Accuracy=0.710000
2016-09-24 09:33:40,535 Epoch[3] Batch [3100] Speed: 11.16 samples/sec Train-Accuracy=0.748571
2016-09-24 09:34:16,449 Epoch[3] Batch [3150] Speed: 11.14 samples/sec Train-Accuracy=0.738571
2016-09-24 09:34:52,257 Epoch[3] Batch [3200] Speed: 11.17 samples/sec Train-Accuracy=0.757143
2016-09-24 09:35:28,238 Epoch[3] Batch [3250] Speed: 11.12 samples/sec Train-Accuracy=0.741429
2016-09-24 09:36:04,279 Epoch[3] Batch [3300] Speed: 11.10 samples/sec Train-Accuracy=0.750000
2016-09-24 09:36:40,322 Epoch[3] Batch [3350] Speed: 11.10 samples/sec Train-Accuracy=0.714286
2016-09-24 09:37:16,362 Epoch[3] Batch [3400] Speed: 11.10 samples/sec Train-Accuracy=0.717143
2016-09-24 09:37:52,386 Epoch[3] Batch [3450] Speed: 11.10 samples/sec Train-Accuracy=0.734286
2016-09-24 09:38:28,366 Epoch[3] Batch [3500] Speed: 11.12 samples/sec Train-Accuracy=0.730000
2016-09-24 09:39:04,386 Epoch[3] Batch [3550] Speed: 11.11 samples/sec Train-Accuracy=0.728571
2016-09-24 09:39:40,396 Epoch[3] Batch [3600] Speed: 11.11 samples/sec Train-Accuracy=0.724286
2016-09-24 09:40:21,675 Epoch[3] Batch [3650] Speed: 9.69 samples/sec Train-Accuracy=0.737143
2016-09-24 09:40:58,993 Epoch[3] Batch [3700] Speed: 10.72 samples/sec Train-Accuracy=0.737143
2016-09-24 09:41:36,608 Epoch[3] Batch [3750] Speed: 10.63 samples/sec Train-Accuracy=0.720000
2016-09-24 09:42:14,063 Epoch[3] Batch [3800] Speed: 10.68 samples/sec Train-Accuracy=0.754286
2016-09-24 09:42:51,509 Epoch[3] Batch [3850] Speed: 10.68 samples/sec Train-Accuracy=0.735714
2016-09-24 09:43:27,714 Epoch[3] Batch [3900] Speed: 11.05 samples/sec Train-Accuracy=0.704286
2016-09-24 09:44:03,977 Epoch[3] Batch [3950] Speed: 11.03 samples/sec Train-Accuracy=0.707143
2016-09-24 09:44:40,258 Epoch[3] Batch [4000] Speed: 11.03 samples/sec Train-Accuracy=0.727143
2016-09-24 09:45:16,422 Epoch[3] Batch [4050] Speed: 11.06 samples/sec Train-Accuracy=0.718571
2016-09-24 09:45:52,615 Epoch[3] Batch [4100] Speed: 11.05 samples/sec Train-Accuracy=0.737143
2016-09-24 09:46:28,747 Epoch[3] Batch [4150] Speed: 11.07 samples/sec Train-Accuracy=0.741429
2016-09-24 09:47:04,876 Epoch[3] Batch [4200] Speed: 11.07 samples/sec Train-Accuracy=0.752857
2016-09-24 09:47:41,114 Epoch[3] Batch [4250] Speed: 11.04 samples/sec Train-Accuracy=0.727143
2016-09-24 09:48:17,778 Epoch[3] Batch [4300] Speed: 10.91 samples/sec Train-Accuracy=0.722857
2016-09-24 09:48:56,470 Epoch[3] Batch [4350] Speed: 10.34 samples/sec Train-Accuracy=0.755714
2016-09-24 09:49:34,919 Epoch[3] Batch [4400] Speed: 10.40 samples/sec Train-Accuracy=0.727143
2016-09-24 09:50:12,577 Epoch[3] Batch [4450] Speed: 10.62 samples/sec Train-Accuracy=0.747143
2016-09-24 09:50:49,862 Epoch[3] Batch [4500] Speed: 10.73 samples/sec Train-Accuracy=0.771429
2016-09-24 09:51:27,114 Epoch[3] Batch [4550] Speed: 10.74 samples/sec Train-Accuracy=0.760000
2016-09-24 09:52:04,222 Epoch[3] Batch [4600] Speed: 10.78 samples/sec Train-Accuracy=0.717143
2016-09-24 09:52:41,454 Epoch[3] Batch [4650] Speed: 10.74 samples/sec Train-Accuracy=0.740000
2016-09-24 09:53:18,584 Epoch[3] Batch [4700] Speed: 10.77 samples/sec Train-Accuracy=0.727143
2016-09-24 09:53:55,679 Epoch[3] Batch [4750] Speed: 10.78 samples/sec Train-Accuracy=0.745714
2016-09-24 09:54:32,803 Epoch[3] Batch [4800] Speed: 10.77 samples/sec Train-Accuracy=0.772857
2016-09-24 09:55:10,089 Epoch[3] Batch [4850] Speed: 10.73 samples/sec Train-Accuracy=0.734286
2016-09-24 09:55:47,278 Epoch[3] Batch [4900] Speed: 10.76 samples/sec Train-Accuracy=0.718571
2016-09-24 09:56:24,571 Epoch[3] Batch [4950] Speed: 10.73 samples/sec Train-Accuracy=0.752857
2016-09-24 09:57:01,649 Epoch[3] Batch [5000] Speed: 10.79 samples/sec Train-Accuracy=0.700000
2016-09-24 09:57:38,919 Epoch[3] Batch [5050] Speed: 10.73 samples/sec Train-Accuracy=0.745714
2016-09-24 09:58:16,205 Epoch[3] Batch [5100] Speed: 10.73 samples/sec Train-Accuracy=0.764286
2016-09-24 09:58:53,369 Epoch[3] Batch [5150] Speed: 10.76 samples/sec Train-Accuracy=0.720000
2016-09-24 09:59:30,537 Epoch[3] Batch [5200] Speed: 10.76 samples/sec Train-Accuracy=0.744286
2016-09-24 10:00:07,656 Epoch[3] Batch [5250] Speed: 10.78 samples/sec Train-Accuracy=0.721429
2016-09-24 10:00:45,995 Epoch[3] Batch [5300] Speed: 10.43 samples/sec Train-Accuracy=0.711429
2016-09-24 10:01:22,110 Epoch[3] Batch [5350] Speed: 11.08 samples/sec Train-Accuracy=0.698571
2016-09-24 10:01:58,290 Epoch[3] Batch [5400] Speed: 11.06 samples/sec Train-Accuracy=0.727143
2016-09-24 10:02:34,539 Epoch[3] Batch [5450] Speed: 11.03 samples/sec Train-Accuracy=0.724286
2016-09-24 10:03:10,894 Epoch[3] Batch [5500] Speed: 11.00 samples/sec Train-Accuracy=0.742857
2016-09-24 10:03:51,207 Epoch[3] Batch [5550] Speed: 9.92 samples/sec Train-Accuracy=0.732857
2016-09-24 10:04:28,434 Epoch[3] Batch [5600] Speed: 10.75 samples/sec Train-Accuracy=0.764286
2016-09-24 10:05:05,686 Epoch[3] Batch [5650] Speed: 10.74 samples/sec Train-Accuracy=0.738571
2016-09-24 10:05:42,939 Epoch[3] Batch [5700] Speed: 10.74 samples/sec Train-Accuracy=0.754286
2016-09-24 10:06:20,174 Epoch[3] Batch [5750] Speed: 10.74 samples/sec Train-Accuracy=0.761429
2016-09-24 10:06:57,366 Epoch[3] Batch [5800] Speed: 10.76 samples/sec Train-Accuracy=0.750000
2016-09-24 10:07:34,605 Epoch[3] Batch [5850] Speed: 10.74 samples/sec Train-Accuracy=0.735714
2016-09-24 10:08:11,783 Epoch[3] Batch [5900] Speed: 10.76 samples/sec Train-Accuracy=0.784286
2016-09-24 10:08:49,098 Epoch[3] Batch [5950] Speed: 10.72 samples/sec Train-Accuracy=0.717143
2016-09-24 10:09:26,438 Epoch[3] Batch [6000] Speed: 10.71 samples/sec Train-Accuracy=0.715714
2016-09-24 10:10:03,751 Epoch[3] Batch [6050] Speed: 10.72 samples/sec Train-Accuracy=0.748571
2016-09-24 10:10:40,980 Epoch[3] Batch [6100] Speed: 10.74 samples/sec Train-Accuracy=0.751429
2016-09-24 10:11:18,304 Epoch[3] Batch [6150] Speed: 10.72 samples/sec Train-Accuracy=0.752857
2016-09-24 10:11:55,584 Epoch[3] Batch [6200] Speed: 10.73 samples/sec Train-Accuracy=0.738571
2016-09-24 10:12:32,947 Epoch[3] Batch [6250] Speed: 10.71 samples/sec Train-Accuracy=0.741429
2016-09-24 10:13:10,158 Epoch[3] Batch [6300] Speed: 10.75 samples/sec Train-Accuracy=0.732857
2016-09-24 10:13:47,316 Epoch[3] Batch [6350] Speed: 10.76 samples/sec Train-Accuracy=0.701429
2016-09-24 10:14:24,556 Epoch[3] Batch [6400] Speed: 10.74 samples/sec Train-Accuracy=0.747143
2016-09-24 10:15:02,122 Epoch[3] Batch [6450] Speed: 10.65 samples/sec Train-Accuracy=0.730000
2016-09-24 10:15:40,071 Epoch[3] Batch [6500] Speed: 10.54 samples/sec Train-Accuracy=0.722857
2016-09-24 10:16:18,018 Epoch[3] Batch [6550] Speed: 10.54 samples/sec Train-Accuracy=0.738571
2016-09-24 10:16:55,252 Epoch[3] Batch [6600] Speed: 10.74 samples/sec Train-Accuracy=0.697143
2016-09-24 10:17:33,244 Epoch[3] Batch [6650] Speed: 10.53 samples/sec Train-Accuracy=0.730000
2016-09-24 10:18:11,010 Epoch[3] Batch [6700] Speed: 10.59 samples/sec Train-Accuracy=0.730000
2016-09-24 10:18:48,763 Epoch[3] Batch [6750] Speed: 10.60 samples/sec Train-Accuracy=0.760000
2016-09-24 10:19:25,756 Epoch[3] Batch [6800] Speed: 10.81 samples/sec Train-Accuracy=0.731429
2016-09-24 10:20:02,989 Epoch[3] Batch [6850] Speed: 10.74 samples/sec Train-Accuracy=0.758571
2016-09-24 10:20:40,289 Epoch[3] Batch [6900] Speed: 10.72 samples/sec Train-Accuracy=0.781429
2016-09-24 10:21:17,741 Epoch[3] Batch [6950] Speed: 10.68 samples/sec Train-Accuracy=0.732857
2016-09-24 10:21:54,317 Epoch[3] Batch [7000] Speed: 10.94 samples/sec Train-Accuracy=0.791429
2016-09-24 10:22:30,867 Epoch[3] Batch [7050] Speed: 10.94 samples/sec Train-Accuracy=0.714286
2016-09-24 10:23:07,528 Epoch[3] Batch [7100] Speed: 10.91 samples/sec Train-Accuracy=0.710000
2016-09-24 10:23:44,166 Epoch[3] Batch [7150] Speed: 10.92 samples/sec Train-Accuracy=0.755714
2016-09-24 10:24:20,860 Epoch[3] Batch [7200] Speed: 10.90 samples/sec Train-Accuracy=0.755714
2016-09-24 10:24:57,189 Epoch[3] Batch [7250] Speed: 11.01 samples/sec Train-Accuracy=0.734286
2016-09-24 10:25:33,518 Epoch[3] Batch [7300] Speed: 11.01 samples/sec Train-Accuracy=0.737143
2016-09-24 10:26:10,055 Epoch[3] Batch [7350] Speed: 10.95 samples/sec Train-Accuracy=0.754286
2016-09-24 10:26:46,421 Epoch[3] Batch [7400] Speed: 11.00 samples/sec Train-Accuracy=0.717143
2016-09-24 10:27:22,783 Epoch[3] Batch [7450] Speed: 11.00 samples/sec Train-Accuracy=0.710000
2016-09-24 10:27:59,124 Epoch[3] Batch [7500] Speed: 11.01 samples/sec Train-Accuracy=0.720000
2016-09-24 10:28:35,307 Epoch[3] Batch [7550] Speed: 11.05 samples/sec Train-Accuracy=0.734286
2016-09-24 10:29:11,867 Epoch[3] Batch [7600] Speed: 10.94 samples/sec Train-Accuracy=0.735714
2016-09-24 10:29:48,335 Epoch[3] Batch [7650] Speed: 10.97 samples/sec Train-Accuracy=0.747143
2016-09-24 10:30:24,416 Epoch[3] Batch [7700] Speed: 11.09 samples/sec Train-Accuracy=0.725714
2016-09-24 10:31:00,649 Epoch[3] Batch [7750] Speed: 11.04 samples/sec Train-Accuracy=0.734286
2016-09-24 10:31:38,047 Epoch[3] Batch [7800] Speed: 10.70 samples/sec Train-Accuracy=0.777143
2016-09-24 10:32:15,294 Epoch[3] Batch [7850] Speed: 10.74 samples/sec Train-Accuracy=0.724286
2016-09-24 10:32:56,872 Epoch[3] Batch [7900] Speed: 9.62 samples/sec Train-Accuracy=0.728571
2016-09-24 10:33:32,953 Epoch[3] Batch [7950] Speed: 11.09 samples/sec Train-Accuracy=0.682857
2016-09-24 10:34:09,094 Epoch[3] Batch [8000] Speed: 11.07 samples/sec Train-Accuracy=0.750000
2016-09-24 10:34:45,198 Epoch[3] Batch [8050] Speed: 11.08 samples/sec Train-Accuracy=0.728571
2016-09-24 10:35:21,695 Epoch[3] Batch [8100] Speed: 10.96 samples/sec Train-Accuracy=0.710000
2016-09-24 10:36:00,851 Epoch[3] Batch [8150] Speed: 10.22 samples/sec Train-Accuracy=0.745714
2016-09-24 10:36:37,263 Epoch[3] Batch [8200] Speed: 10.99 samples/sec Train-Accuracy=0.764286
2016-09-24 10:37:13,263 Epoch[3] Batch [8250] Speed: 11.11 samples/sec Train-Accuracy=0.717143
2016-09-24 10:37:49,772 Epoch[3] Batch [8300] Speed: 10.96 samples/sec Train-Accuracy=0.737143
2016-09-24 10:38:27,140 Epoch[3] Batch [8350] Speed: 10.70 samples/sec Train-Accuracy=0.751429
2016-09-24 10:39:03,736 Epoch[3] Batch [8400] Speed: 10.93 samples/sec Train-Accuracy=0.754286
2016-09-24 10:39:39,545 Epoch[3] Batch [8450] Speed: 11.17 samples/sec Train-Accuracy=0.735714
2016-09-24 10:40:15,408 Epoch[3] Batch [8500] Speed: 11.15 samples/sec Train-Accuracy=0.741429
2016-09-24 10:40:51,728 Epoch[3] Batch [8550] Speed: 11.01 samples/sec Train-Accuracy=0.721429
2016-09-24 10:41:27,801 Epoch[3] Batch [8600] Speed: 11.09 samples/sec Train-Accuracy=0.741429
2016-09-24 10:42:04,017 Epoch[3] Batch [8650] Speed: 11.04 samples/sec Train-Accuracy=0.761429
2016-09-24 10:42:43,495 Epoch[3] Batch [8700] Speed: 10.13 samples/sec Train-Accuracy=0.718571
2016-09-24 10:43:22,881 Epoch[3] Batch [8750] Speed: 10.16 samples/sec Train-Accuracy=0.757143
2016-09-24 10:44:00,035 Epoch[3] Batch [8800] Speed: 10.77 samples/sec Train-Accuracy=0.741429
2016-09-24 10:44:37,298 Epoch[3] Batch [8850] Speed: 10.73 samples/sec Train-Accuracy=0.732857
2016-09-24 10:45:14,558 Epoch[3] Batch [8900] Speed: 10.74 samples/sec Train-Accuracy=0.722857
2016-09-24 10:45:52,230 Epoch[3] Batch [8950] Speed: 10.62 samples/sec Train-Accuracy=0.691429
2016-09-24 10:46:29,940 Epoch[3] Batch [9000] Speed: 10.61 samples/sec Train-Accuracy=0.747143
2016-09-24 10:47:07,160 Epoch[3] Batch [9050] Speed: 10.75 samples/sec Train-Accuracy=0.730000
2016-09-24 10:47:43,757 Epoch[3] Batch [9100] Speed: 10.93 samples/sec Train-Accuracy=0.758571
2016-09-24 10:48:19,818 Epoch[3] Batch [9150] Speed: 11.09 samples/sec Train-Accuracy=0.738571
2016-09-24 10:48:56,817 Epoch[3] Batch [9200] Speed: 10.81 samples/sec Train-Accuracy=0.718571
2016-09-24 10:49:34,544 Epoch[3] Batch [9250] Speed: 10.60 samples/sec Train-Accuracy=0.720000
2016-09-24 10:50:11,868 Epoch[3] Batch [9300] Speed: 10.72 samples/sec Train-Accuracy=0.728571
2016-09-24 10:50:48,303 Epoch[3] Batch [9350] Speed: 10.98 samples/sec Train-Accuracy=0.717143
2016-09-24 10:51:26,110 Epoch[3] Batch [9400] Speed: 10.58 samples/sec Train-Accuracy=0.710000
2016-09-24 10:52:03,453 Epoch[3] Batch [9450] Speed: 10.71 samples/sec Train-Accuracy=0.702857
2016-09-24 10:52:40,744 Epoch[3] Batch [9500] Speed: 10.73 samples/sec Train-Accuracy=0.751429
2016-09-24 10:53:17,895 Epoch[3] Batch [9550] Speed: 10.77 samples/sec Train-Accuracy=0.712857
2016-09-24 10:53:55,176 Epoch[3] Batch [9600] Speed: 10.73 samples/sec Train-Accuracy=0.701429
2016-09-24 10:54:33,693 Epoch[3] Batch [9650] Speed: 10.39 samples/sec Train-Accuracy=0.760000
2016-09-24 10:55:12,269 Epoch[3] Batch [9700] Speed: 10.37 samples/sec Train-Accuracy=0.745714
2016-09-24 10:55:48,218 Epoch[3] Batch [9750] Speed: 11.13 samples/sec Train-Accuracy=0.704286
2016-09-24 10:56:24,107 Epoch[3] Batch [9800] Speed: 11.15 samples/sec Train-Accuracy=0.720000
2016-09-24 10:57:00,063 Epoch[3] Batch [9850] Speed: 11.12 samples/sec Train-Accuracy=0.728571
2016-09-24 10:57:36,037 Epoch[3] Batch [9900] Speed: 11.12 samples/sec Train-Accuracy=0.721429
2016-09-24 10:58:12,244 Epoch[3] Batch [9950] Speed: 11.05 samples/sec Train-Accuracy=0.732857
2016-09-24 10:58:48,235 Epoch[3] Batch [10000] Speed: 11.11 samples/sec Train-Accuracy=0.714286
2016-09-24 10:59:24,290 Epoch[3] Batch [10050] Speed: 11.09 samples/sec Train-Accuracy=0.758571
2016-09-24 11:00:00,832 Epoch[3] Batch [10100] Speed: 10.95 samples/sec Train-Accuracy=0.741429
2016-09-24 11:00:37,419 Epoch[3] Batch [10150] Speed: 10.93 samples/sec Train-Accuracy=0.724286
2016-09-24 11:01:14,572 Epoch[3] Batch [10200] Speed: 10.77 samples/sec Train-Accuracy=0.728571
2016-09-24 11:01:51,650 Epoch[3] Batch [10250] Speed: 10.79 samples/sec Train-Accuracy=0.774286
2016-09-24 11:02:28,246 Epoch[3] Batch [10300] Speed: 10.93 samples/sec Train-Accuracy=0.775714
2016-09-24 11:03:04,381 Epoch[3] Batch [10350] Speed: 11.07 samples/sec Train-Accuracy=0.712857
2016-09-24 11:03:41,158 Epoch[3] Batch [10400] Speed: 10.88 samples/sec Train-Accuracy=0.738571
2016-09-24 11:04:17,280 Epoch[3] Batch [10450] Speed: 11.07 samples/sec Train-Accuracy=0.732857
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2016-09-24 11:05:29,536 Epoch[3] Batch [10550] Speed: 11.07 samples/sec Train-Accuracy=0.747143
2016-09-24 11:06:05,568 Epoch[3] Batch [10600] Speed: 11.10 samples/sec Train-Accuracy=0.730000
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2016-09-24 11:07:17,509 Epoch[3] Batch [10700] Speed: 11.13 samples/sec Train-Accuracy=0.734286
2016-09-24 11:07:53,476 Epoch[3] Batch [10750] Speed: 11.12 samples/sec Train-Accuracy=0.762857
2016-09-24 11:08:29,435 Epoch[3] Batch [10800] Speed: 11.12 samples/sec Train-Accuracy=0.778571
2016-09-24 11:09:05,487 Epoch[3] Batch [10850] Speed: 11.10 samples/sec Train-Accuracy=0.717143
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2016-09-24 11:10:17,764 Epoch[3] Batch [10950] Speed: 11.06 samples/sec Train-Accuracy=0.708571
2016-09-24 11:10:53,939 Epoch[3] Batch [11000] Speed: 11.06 samples/sec Train-Accuracy=0.771429
2016-09-24 11:11:29,969 Epoch[3] Batch [11050] Speed: 11.10 samples/sec Train-Accuracy=0.744286
2016-09-24 11:12:06,032 Epoch[3] Batch [11100] Speed: 11.09 samples/sec Train-Accuracy=0.741429
2016-09-24 11:12:42,086 Epoch[3] Batch [11150] Speed: 11.09 samples/sec Train-Accuracy=0.714286
2016-09-24 11:13:18,117 Epoch[3] Batch [11200] Speed: 11.10 samples/sec Train-Accuracy=0.728571
2016-09-24 11:13:54,197 Epoch[3] Batch [11250] Speed: 11.09 samples/sec Train-Accuracy=0.725714
2016-09-24 11:14:30,184 Epoch[3] Batch [11300] Speed: 11.12 samples/sec Train-Accuracy=0.735714
2016-09-24 11:15:06,558 Epoch[3] Batch [11350] Speed: 11.00 samples/sec Train-Accuracy=0.762857
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2016-09-24 11:16:19,585 Epoch[3] Batch [11450] Speed: 10.84 samples/sec Train-Accuracy=0.731429
2016-09-24 11:16:56,507 Epoch[3] Batch [11500] Speed: 10.83 samples/sec Train-Accuracy=0.740000
2016-09-24 11:17:33,387 Epoch[3] Batch [11550] Speed: 10.85 samples/sec Train-Accuracy=0.777143
2016-09-24 11:18:10,435 Epoch[3] Batch [11600] Speed: 10.80 samples/sec Train-Accuracy=0.744286
2016-09-24 11:18:47,923 Epoch[3] Batch [11650] Speed: 10.67 samples/sec Train-Accuracy=0.727143
2016-09-24 11:19:27,703 Epoch[3] Batch [11700] Speed: 10.06 samples/sec Train-Accuracy=0.732857
2016-09-24 11:20:04,023 Epoch[3] Batch [11750] Speed: 11.01 samples/sec Train-Accuracy=0.751429
2016-09-24 11:20:40,162 Epoch[3] Batch [11800] Speed: 11.07 samples/sec Train-Accuracy=0.708571
2016-09-24 11:21:16,422 Epoch[3] Batch [11850] Speed: 11.03 samples/sec Train-Accuracy=0.718571
2016-09-24 11:21:53,115 Epoch[3] Batch [11900] Speed: 10.90 samples/sec Train-Accuracy=0.762857
2016-09-24 11:22:29,535 Epoch[3] Batch [11950] Speed: 10.98 samples/sec Train-Accuracy=0.750000
2016-09-24 11:23:05,695 Epoch[3] Batch [12000] Speed: 11.06 samples/sec Train-Accuracy=0.722857
2016-09-24 11:23:41,956 Epoch[3] Batch [12050] Speed: 11.03 samples/sec Train-Accuracy=0.760000
2016-09-24 11:24:18,110 Epoch[3] Batch [12100] Speed: 11.06 samples/sec Train-Accuracy=0.745714
2016-09-24 11:24:54,250 Epoch[3] Batch [12150] Speed: 11.07 samples/sec Train-Accuracy=0.760000
2016-09-24 11:25:30,603 Epoch[3] Batch [12200] Speed: 11.00 samples/sec Train-Accuracy=0.724286
2016-09-24 11:26:06,775 Epoch[3] Batch [12250] Speed: 11.06 samples/sec Train-Accuracy=0.730000
2016-09-24 11:26:43,042 Epoch[3] Batch [12300] Speed: 11.03 samples/sec Train-Accuracy=0.731429
2016-09-24 11:27:19,266 Epoch[3] Batch [12350] Speed: 11.04 samples/sec Train-Accuracy=0.757143
2016-09-24 11:27:55,558 Epoch[3] Batch [12400] Speed: 11.02 samples/sec Train-Accuracy=0.794286
2016-09-24 11:28:32,477 Epoch[3] Batch [12450] Speed: 10.83 samples/sec Train-Accuracy=0.748571
2016-09-24 11:29:10,118 Epoch[3] Batch [12500] Speed: 10.63 samples/sec Train-Accuracy=0.721429
2016-09-24 11:29:47,438 Epoch[3] Batch [12550] Speed: 10.72 samples/sec Train-Accuracy=0.732857
2016-09-24 11:30:25,540 Epoch[3] Batch [12600] Speed: 10.50 samples/sec Train-Accuracy=0.721429
2016-09-24 11:31:04,395 Epoch[3] Batch [12650] Speed: 10.29 samples/sec Train-Accuracy=0.752857
2016-09-24 11:31:42,329 Epoch[3] Batch [12700] Speed: 10.54 samples/sec Train-Accuracy=0.708571
2016-09-24 11:32:19,580 Epoch[3] Batch [12750] Speed: 10.74 samples/sec Train-Accuracy=0.744286
2016-09-24 11:32:56,651 Epoch[3] Batch [12800] Speed: 10.79 samples/sec Train-Accuracy=0.720000
2016-09-24 11:33:33,893 Epoch[3] Batch [12850] Speed: 10.74 samples/sec Train-Accuracy=0.732857
2016-09-24 11:34:11,089 Epoch[3] Batch [12900] Speed: 10.75 samples/sec Train-Accuracy=0.737143
2016-09-24 11:34:48,255 Epoch[3] Batch [12950] Speed: 10.76 samples/sec Train-Accuracy=0.738571
2016-09-24 11:35:25,528 Epoch[3] Batch [13000] Speed: 10.73 samples/sec Train-Accuracy=0.752857
2016-09-24 11:36:02,772 Epoch[3] Batch [13050] Speed: 10.74 samples/sec Train-Accuracy=0.760000
2016-09-24 11:36:39,995 Epoch[3] Batch [13100] Speed: 10.75 samples/sec Train-Accuracy=0.741429
2016-09-24 11:37:17,140 Epoch[3] Batch [13150] Speed: 10.77 samples/sec Train-Accuracy=0.761429
2016-09-24 11:37:54,586 Epoch[3] Batch [13200] Speed: 10.68 samples/sec Train-Accuracy=0.697143
2016-09-24 11:38:31,863 Epoch[3] Batch [13250] Speed: 10.73 samples/sec Train-Accuracy=0.750000
2016-09-24 11:39:09,832 Epoch[3] Batch [13300] Speed: 10.54 samples/sec Train-Accuracy=0.727143
2016-09-24 11:39:48,526 Epoch[3] Batch [13350] Speed: 10.34 samples/sec Train-Accuracy=0.734286
2016-09-24 11:40:24,597 Epoch[3] Batch [13400] Speed: 11.09 samples/sec Train-Accuracy=0.732857
2016-09-24 11:41:00,713 Epoch[3] Batch [13450] Speed: 11.08 samples/sec Train-Accuracy=0.702857
2016-09-24 11:41:36,766 Epoch[3] Batch [13500] Speed: 11.09 samples/sec Train-Accuracy=0.757143
2016-09-24 11:42:12,921 Epoch[3] Batch [13550] Speed: 11.06 samples/sec Train-Accuracy=0.714286
2016-09-24 11:42:49,359 Epoch[3] Batch [13600] Speed: 10.98 samples/sec Train-Accuracy=0.735714
2016-09-24 11:43:29,966 Epoch[3] Batch [13650] Speed: 9.85 samples/sec Train-Accuracy=0.714286
2016-09-24 11:44:07,932 Epoch[3] Batch [13700] Speed: 10.54 samples/sec Train-Accuracy=0.718571
2016-09-24 11:44:44,074 Epoch[3] Batch [13750] Speed: 11.07 samples/sec Train-Accuracy=0.761429
2016-09-24 11:45:20,657 Epoch[3] Batch [13800] Speed: 10.93 samples/sec Train-Accuracy=0.747143
2016-09-24 11:45:57,508 Epoch[3] Batch [13850] Speed: 10.85 samples/sec Train-Accuracy=0.732857
2016-09-24 11:46:34,534 Epoch[3] Batch [13900] Speed: 10.80 samples/sec Train-Accuracy=0.752857
2016-09-24 11:47:11,548 Epoch[3] Batch [13950] Speed: 10.81 samples/sec Train-Accuracy=0.750000
2016-09-24 11:47:48,173 Epoch[3] Batch [14000] Speed: 10.92 samples/sec Train-Accuracy=0.780000
2016-09-24 11:48:25,076 Epoch[3] Batch [14050] Speed: 10.84 samples/sec Train-Accuracy=0.725714
2016-09-24 11:49:02,210 Epoch[3] Batch [14100] Speed: 10.77 samples/sec Train-Accuracy=0.745714
2016-09-24 11:49:39,738 Epoch[3] Batch [14150] Speed: 10.66 samples/sec Train-Accuracy=0.737143
2016-09-24 11:50:17,644 Epoch[3] Batch [14200] Speed: 10.55 samples/sec Train-Accuracy=0.728571
2016-09-24 11:50:57,859 Epoch[3] Batch [14250] Speed: 9.95 samples/sec Train-Accuracy=0.720000
2016-09-24 11:51:34,932 Epoch[3] Batch [14300] Speed: 10.79 samples/sec Train-Accuracy=0.748571
2016-09-24 11:52:12,644 Epoch[3] Batch [14350] Speed: 10.61 samples/sec Train-Accuracy=0.704286
2016-09-24 11:52:50,025 Epoch[3] Batch [14400] Speed: 10.70 samples/sec Train-Accuracy=0.744286
2016-09-24 11:53:28,916 Epoch[3] Batch [14450] Speed: 10.29 samples/sec Train-Accuracy=0.760000
2016-09-24 11:54:07,683 Epoch[3] Batch [14500] Speed: 10.32 samples/sec Train-Accuracy=0.738571
2016-09-24 11:54:43,870 Epoch[3] Batch [14550] Speed: 11.05 samples/sec Train-Accuracy=0.770000
2016-09-24 11:55:19,965 Epoch[3] Batch [14600] Speed: 11.08 samples/sec Train-Accuracy=0.727143
2016-09-24 11:55:55,902 Epoch[3] Batch [14650] Speed: 11.13 samples/sec Train-Accuracy=0.744286
2016-09-24 11:56:33,384 Epoch[3] Batch [14700] Speed: 10.67 samples/sec Train-Accuracy=0.735714
2016-09-24 11:57:10,735 Epoch[3] Batch [14750] Speed: 10.71 samples/sec Train-Accuracy=0.767143
2016-09-24 11:57:48,136 Epoch[3] Batch [14800] Speed: 10.69 samples/sec Train-Accuracy=0.745714
2016-09-24 11:58:25,419 Epoch[3] Batch [14850] Speed: 10.73 samples/sec Train-Accuracy=0.738571
2016-09-24 11:59:02,828 Epoch[3] Batch [14900] Speed: 10.69 samples/sec Train-Accuracy=0.741429
2016-09-24 11:59:40,182 Epoch[3] Batch [14950] Speed: 10.71 samples/sec Train-Accuracy=0.747143
2016-09-24 12:00:17,652 Epoch[3] Batch [15000] Speed: 10.68 samples/sec Train-Accuracy=0.734286
2016-09-24 12:00:54,884 Epoch[3] Batch [15050] Speed: 10.74 samples/sec Train-Accuracy=0.751429
2016-09-24 12:01:32,254 Epoch[3] Batch [15100] Speed: 10.70 samples/sec Train-Accuracy=0.754286
2016-09-24 12:02:09,531 Epoch[3] Batch [15150] Speed: 10.73 samples/sec Train-Accuracy=0.775714
2016-09-24 12:02:47,823 Epoch[3] Batch [15200] Speed: 10.45 samples/sec Train-Accuracy=0.758571
2016-09-24 12:03:25,346 Epoch[3] Batch [15250] Speed: 10.66 samples/sec Train-Accuracy=0.737143
2016-09-24 12:04:02,199 Epoch[3] Batch [15300] Speed: 10.85 samples/sec Train-Accuracy=0.725714
2016-09-24 12:04:39,332 Epoch[3] Batch [15350] Speed: 10.77 samples/sec Train-Accuracy=0.722857
2016-09-24 12:05:16,922 Epoch[3] Batch [15400] Speed: 10.64 samples/sec Train-Accuracy=0.760000
2016-09-24 12:05:54,613 Epoch[3] Batch [15450] Speed: 10.61 samples/sec Train-Accuracy=0.707143
2016-09-24 12:06:32,065 Epoch[3] Batch [15500] Speed: 10.68 samples/sec Train-Accuracy=0.750000
2016-09-24 12:07:09,221 Epoch[3] Batch [15550] Speed: 10.77 samples/sec Train-Accuracy=0.715714
2016-09-24 12:07:46,232 Epoch[3] Batch [15600] Speed: 10.81 samples/sec Train-Accuracy=0.752857
2016-09-24 12:08:22,834 Epoch[3] Batch [15650] Speed: 10.93 samples/sec Train-Accuracy=0.738571
2016-09-24 12:08:58,835 Epoch[3] Batch [15700] Speed: 11.11 samples/sec Train-Accuracy=0.748571
2016-09-24 12:09:34,772 Epoch[3] Batch [15750] Speed: 11.13 samples/sec Train-Accuracy=0.732857
2016-09-24 12:10:10,734 Epoch[3] Batch [15800] Speed: 11.12 samples/sec Train-Accuracy=0.758571
2016-09-24 12:10:46,735 Epoch[3] Batch [15850] Speed: 11.11 samples/sec Train-Accuracy=0.740000
2016-09-24 12:11:22,836 Epoch[3] Batch [15900] Speed: 11.08 samples/sec Train-Accuracy=0.781429
2016-09-24 12:11:58,960 Epoch[3] Batch [15950] Speed: 11.07 samples/sec Train-Accuracy=0.737143
2016-09-24 12:12:34,939 Epoch[3] Batch [16000] Speed: 11.12 samples/sec Train-Accuracy=0.774286
2016-09-24 12:13:10,997 Epoch[3] Batch [16050] Speed: 11.09 samples/sec Train-Accuracy=0.757143
2016-09-24 12:13:47,093 Epoch[3] Batch [16100] Speed: 11.08 samples/sec Train-Accuracy=0.721429
2016-09-24 12:14:23,218 Epoch[3] Batch [16150] Speed: 11.07 samples/sec Train-Accuracy=0.762857
2016-09-24 12:14:59,369 Epoch[3] Batch [16200] Speed: 11.06 samples/sec Train-Accuracy=0.750000
2016-09-24 12:15:35,515 Epoch[3] Batch [16250] Speed: 11.07 samples/sec Train-Accuracy=0.767143
2016-09-24 12:16:11,666 Epoch[3] Batch [16300] Speed: 11.06 samples/sec Train-Accuracy=0.724286
2016-09-24 12:16:47,835 Epoch[3] Batch [16350] Speed: 11.06 samples/sec Train-Accuracy=0.741429
2016-09-24 12:17:24,095 Epoch[3] Batch [16400] Speed: 11.03 samples/sec Train-Accuracy=0.740000
2016-09-24 12:18:00,459 Epoch[3] Batch [16450] Speed: 11.00 samples/sec Train-Accuracy=0.715714
2016-09-24 12:18:36,793 Epoch[3] Batch [16500] Speed: 11.01 samples/sec Train-Accuracy=0.735714
2016-09-24 12:19:13,531 Epoch[3] Batch [16550] Speed: 10.89 samples/sec Train-Accuracy=0.772857
2016-09-24 12:19:52,075 Epoch[3] Batch [16600] Speed: 10.38 samples/sec Train-Accuracy=0.755714
2016-09-24 12:20:30,003 Epoch[3] Batch [16650] Speed: 10.55 samples/sec Train-Accuracy=0.732857
2016-09-24 12:21:06,453 Epoch[3] Batch [16700] Speed: 10.97 samples/sec Train-Accuracy=0.778571
2016-09-24 12:21:42,914 Epoch[3] Batch [16750] Speed: 10.97 samples/sec Train-Accuracy=0.765714
2016-09-24 12:22:20,121 Epoch[3] Batch [16800] Speed: 10.75 samples/sec Train-Accuracy=0.728571
2016-09-24 12:22:59,329 Epoch[3] Batch [16850] Speed: 10.20 samples/sec Train-Accuracy=0.724286
2016-09-24 12:23:37,138 Epoch[3] Batch [16900] Speed: 10.58 samples/sec Train-Accuracy=0.715714
2016-09-24 12:24:14,453 Epoch[3] Batch [16950] Speed: 10.72 samples/sec Train-Accuracy=0.754286
2016-09-24 12:24:51,654 Epoch[3] Batch [17000] Speed: 10.75 samples/sec Train-Accuracy=0.765714
2016-09-24 12:25:28,782 Epoch[3] Batch [17050] Speed: 10.77 samples/sec Train-Accuracy=0.767143
2016-09-24 12:26:06,373 Epoch[3] Batch [17100] Speed: 10.64 samples/sec Train-Accuracy=0.761429
2016-09-24 12:26:43,411 Epoch[3] Batch [17150] Speed: 10.80 samples/sec Train-Accuracy=0.744286
2016-09-24 12:27:24,363 Epoch[3] Batch [17200] Speed: 9.77 samples/sec Train-Accuracy=0.765714
2016-09-24 12:28:06,227 Epoch[3] Batch [17250] Speed: 9.55 samples/sec Train-Accuracy=0.741429
2016-09-24 12:28:44,483 Epoch[3] Batch [17300] Speed: 10.46 samples/sec Train-Accuracy=0.744286
2016-09-24 12:29:20,966 Epoch[3] Batch [17350] Speed: 10.96 samples/sec Train-Accuracy=0.724286
2016-09-24 12:29:57,372 Epoch[3] Batch [17400] Speed: 10.99 samples/sec Train-Accuracy=0.738571
2016-09-24 12:30:33,720 Epoch[3] Batch [17450] Speed: 11.00 samples/sec Train-Accuracy=0.772857
2016-09-24 12:31:10,123 Epoch[3] Batch [17500] Speed: 10.99 samples/sec Train-Accuracy=0.775714
2016-09-24 12:31:46,558 Epoch[3] Batch [17550] Speed: 10.98 samples/sec Train-Accuracy=0.760000
2016-09-24 12:32:23,020 Epoch[3] Batch [17600] Speed: 10.97 samples/sec Train-Accuracy=0.737143
2016-09-24 12:32:59,628 Epoch[3] Batch [17650] Speed: 10.93 samples/sec Train-Accuracy=0.704286
2016-09-24 12:33:36,062 Epoch[3] Batch [17700] Speed: 10.98 samples/sec Train-Accuracy=0.752857
2016-09-24 12:34:12,931 Epoch[3] Batch [17750] Speed: 10.85 samples/sec Train-Accuracy=0.770000
2016-09-24 12:34:51,125 Epoch[3] Batch [17800] Speed: 10.47 samples/sec Train-Accuracy=0.741429
2016-09-24 12:35:28,777 Epoch[3] Batch [17850] Speed: 10.62 samples/sec Train-Accuracy=0.745714
2016-09-24 12:36:06,071 Epoch[3] Batch [17900] Speed: 10.73 samples/sec Train-Accuracy=0.721429
2016-09-24 12:36:42,831 Epoch[3] Batch [17950] Speed: 10.88 samples/sec Train-Accuracy=0.742857
2016-09-24 12:37:19,439 Epoch[3] Batch [18000] Speed: 10.93 samples/sec Train-Accuracy=0.710000
2016-09-24 12:37:56,007 Epoch[3] Batch [18050] Speed: 10.94 samples/sec Train-Accuracy=0.742857
2016-09-24 12:38:32,721 Epoch[3] Batch [18100] Speed: 10.90 samples/sec Train-Accuracy=0.737143
2016-09-24 12:39:09,410 Epoch[3] Batch [18150] Speed: 10.90 samples/sec Train-Accuracy=0.741429
2016-09-24 12:39:49,489 Epoch[3] Batch [18200] Speed: 9.98 samples/sec Train-Accuracy=0.731429
2016-09-24 12:40:26,880 Epoch[3] Batch [18250] Speed: 10.70 samples/sec Train-Accuracy=0.727143
2016-09-24 12:41:04,147 Epoch[3] Batch [18300] Speed: 10.73 samples/sec Train-Accuracy=0.755714
2016-09-24 12:41:41,376 Epoch[3] Batch [18350] Speed: 10.74 samples/sec Train-Accuracy=0.742857
2016-09-24 12:42:18,623 Epoch[3] Batch [18400] Speed: 10.74 samples/sec Train-Accuracy=0.738571
2016-09-24 12:42:55,779 Epoch[3] Batch [18450] Speed: 10.77 samples/sec Train-Accuracy=0.722857
2016-09-24 12:43:33,030 Epoch[3] Batch [18500] Speed: 10.74 samples/sec Train-Accuracy=0.707143
2016-09-24 12:44:10,157 Epoch[3] Batch [18550] Speed: 10.77 samples/sec Train-Accuracy=0.744286
2016-09-24 12:44:47,488 Epoch[3] Batch [18600] Speed: 10.72 samples/sec Train-Accuracy=0.742857
2016-09-24 12:45:24,591 Epoch[3] Batch [18650] Speed: 10.78 samples/sec Train-Accuracy=0.738571
2016-09-24 12:46:02,912 Epoch[3] Batch [18700] Speed: 10.44 samples/sec Train-Accuracy=0.728571
2016-09-24 12:46:41,963 Epoch[3] Batch [18750] Speed: 10.24 samples/sec Train-Accuracy=0.720000
2016-09-24 12:47:21,897 Epoch[3] Batch [18800] Speed: 10.02 samples/sec Train-Accuracy=0.717143
2016-09-24 12:48:01,401 Epoch[3] Batch [18850] Speed: 10.13 samples/sec Train-Accuracy=0.727143
2016-09-24 12:48:41,708 Epoch[3] Batch [18900] Speed: 9.92 samples/sec Train-Accuracy=0.750000
2016-09-24 12:49:20,111 Epoch[3] Batch [18950] Speed: 10.42 samples/sec Train-Accuracy=0.748571
2016-09-24 12:49:58,219 Epoch[3] Batch [19000] Speed: 10.50 samples/sec Train-Accuracy=0.744286
2016-09-24 12:50:36,279 Epoch[3] Batch [19050] Speed: 10.51 samples/sec Train-Accuracy=0.735714
2016-09-24 12:51:14,449 Epoch[3] Batch [19100] Speed: 10.48 samples/sec Train-Accuracy=0.774286
2016-09-24 12:51:52,540 Epoch[3] Batch [19150] Speed: 10.50 samples/sec Train-Accuracy=0.740000
2016-09-24 12:52:30,562 Epoch[3] Batch [19200] Speed: 10.52 samples/sec Train-Accuracy=0.751429
2016-09-24 12:53:08,292 Epoch[3] Batch [19250] Speed: 10.60 samples/sec Train-Accuracy=0.772857
2016-09-24 12:53:45,963 Epoch[3] Batch [19300] Speed: 10.62 samples/sec Train-Accuracy=0.735714
2016-09-24 12:54:23,429 Epoch[3] Batch [19350] Speed: 10.68 samples/sec Train-Accuracy=0.778571
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2016-09-24 12:55:38,168 Epoch[3] Batch [19450] Speed: 10.70 samples/sec Train-Accuracy=0.742857
2016-09-24 12:56:15,194 Epoch[3] Batch [19500] Speed: 10.80 samples/sec Train-Accuracy=0.720000
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2016-09-24 12:57:27,570 Epoch[3] Batch [19600] Speed: 11.09 samples/sec Train-Accuracy=0.751429
2016-09-24 12:58:03,660 Epoch[3] Batch [19650] Speed: 11.08 samples/sec Train-Accuracy=0.712857
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2016-09-24 12:59:53,099 Epoch[3] Batch [19800] Speed: 10.81 samples/sec Train-Accuracy=0.747143
2016-09-24 13:00:30,255 Epoch[3] Batch [19850] Speed: 10.77 samples/sec Train-Accuracy=0.775714
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2016-09-24 13:07:13,468 Epoch[3] Batch [20400] Speed: 11.00 samples/sec Train-Accuracy=0.757143
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2016-09-24 13:08:26,142 Epoch[3] Batch [20500] Speed: 11.01 samples/sec Train-Accuracy=0.740000
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2016-09-24 13:12:05,048 Epoch[3] Batch [20800] Speed: 10.92 samples/sec Train-Accuracy=0.760000
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2016-09-24 13:14:32,405 Epoch[3] Batch [21000] Speed: 10.55 samples/sec Train-Accuracy=0.767143
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2016-09-24 13:16:27,354 Epoch[3] Batch [21150] Speed: 10.46 samples/sec Train-Accuracy=0.735714
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2016-09-24 13:22:03,993 Epoch[3] Batch [21600] Speed: 10.76 samples/sec Train-Accuracy=0.727143
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2016-09-24 13:23:56,460 Epoch[3] Batch [21750] Speed: 10.71 samples/sec Train-Accuracy=0.714286
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2016-09-24 13:25:11,148 Epoch[3] Batch [21850] Speed: 10.72 samples/sec Train-Accuracy=0.751429
2016-09-24 13:25:48,404 Epoch[3] Batch [21900] Speed: 10.74 samples/sec Train-Accuracy=0.751429
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2016-09-24 13:27:02,880 Epoch[3] Batch [22000] Speed: 10.73 samples/sec Train-Accuracy=0.737143
2016-09-24 13:27:40,178 Epoch[3] Batch [22050] Speed: 10.72 samples/sec Train-Accuracy=0.761429
2016-09-24 13:28:18,925 Epoch[3] Batch [22100] Speed: 10.32 samples/sec Train-Accuracy=0.768571
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2016-09-24 13:32:12,633 Epoch[3] Batch [22400] Speed: 10.50 samples/sec Train-Accuracy=0.737143
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2016-09-24 13:33:27,657 Epoch[3] Batch [22500] Speed: 10.70 samples/sec Train-Accuracy=0.748571
2016-09-24 13:34:05,254 Epoch[3] Batch [22550] Speed: 10.64 samples/sec Train-Accuracy=0.744286
2016-09-24 13:34:42,651 Epoch[3] Batch [22600] Speed: 10.70 samples/sec Train-Accuracy=0.748571
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2016-09-24 13:37:13,125 Epoch[3] Batch [22800] Speed: 10.66 samples/sec Train-Accuracy=0.734286
2016-09-24 13:37:50,447 Epoch[3] Batch [22850] Speed: 10.72 samples/sec Train-Accuracy=0.744286
2016-09-24 13:38:28,330 Epoch[3] Batch [22900] Speed: 10.56 samples/sec Train-Accuracy=0.775714
2016-09-24 13:39:06,806 Epoch[3] Batch [22950] Speed: 10.40 samples/sec Train-Accuracy=0.735714
2016-09-24 13:39:45,641 Epoch[3] Batch [23000] Speed: 10.30 samples/sec Train-Accuracy=0.748571
2016-09-24 13:40:27,482 Epoch[3] Batch [23050] Speed: 9.56 samples/sec Train-Accuracy=0.745714
2016-09-24 13:41:07,132 Epoch[3] Batch [23100] Speed: 10.09 samples/sec Train-Accuracy=0.724286
2016-09-24 13:41:45,002 Epoch[3] Batch [23150] Speed: 10.56 samples/sec Train-Accuracy=0.761429
2016-09-24 13:42:23,708 Epoch[3] Batch [23200] Speed: 10.33 samples/sec Train-Accuracy=0.754286
2016-09-24 13:43:02,799 Epoch[3] Batch [23250] Speed: 10.23 samples/sec Train-Accuracy=0.767143
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2016-09-24 13:45:02,273 Epoch[3] Batch [23400] Speed: 10.06 samples/sec Train-Accuracy=0.738571
2016-09-24 13:45:42,269 Epoch[3] Batch [23450] Speed: 10.00 samples/sec Train-Accuracy=0.714286
2016-09-24 13:46:20,713 Epoch[3] Batch [23500] Speed: 10.40 samples/sec Train-Accuracy=0.730000
2016-09-24 13:46:58,956 Epoch[3] Batch [23550] Speed: 10.46 samples/sec Train-Accuracy=0.760000
2016-09-24 13:47:36,509 Epoch[3] Batch [23600] Speed: 10.65 samples/sec Train-Accuracy=0.741429
2016-09-24 13:48:14,057 Epoch[3] Batch [23650] Speed: 10.65 samples/sec Train-Accuracy=0.738571
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2016-09-24 13:49:29,123 Epoch[3] Batch [23750] Speed: 10.66 samples/sec Train-Accuracy=0.758571
2016-09-24 13:50:06,654 Epoch[3] Batch [23800] Speed: 10.66 samples/sec Train-Accuracy=0.730000
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2016-09-24 13:51:23,137 Epoch[3] Batch [23900] Speed: 10.29 samples/sec Train-Accuracy=0.744286
2016-09-24 13:52:01,149 Epoch[3] Batch [23950] Speed: 10.52 samples/sec Train-Accuracy=0.725714
2016-09-24 13:52:38,552 Epoch[3] Batch [24000] Speed: 10.69 samples/sec Train-Accuracy=0.767143
2016-09-24 13:53:15,950 Epoch[3] Batch [24050] Speed: 10.70 samples/sec Train-Accuracy=0.754286
2016-09-24 13:53:56,167 Epoch[3] Batch [24100] Speed: 9.95 samples/sec Train-Accuracy=0.734286
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2016-09-24 13:55:14,057 Epoch[3] Batch [24200] Speed: 10.28 samples/sec Train-Accuracy=0.705714
2016-09-24 13:55:53,058 Epoch[3] Batch [24250] Speed: 10.26 samples/sec Train-Accuracy=0.728571
2016-09-24 13:56:31,131 Epoch[3] Batch [24300] Speed: 10.51 samples/sec Train-Accuracy=0.747143
2016-09-24 13:57:09,727 Epoch[3] Batch [24350] Speed: 10.36 samples/sec Train-Accuracy=0.770000
2016-09-24 13:57:48,192 Epoch[3] Batch [24400] Speed: 10.40 samples/sec Train-Accuracy=0.744286
2016-09-24 13:58:26,210 Epoch[3] Batch [24450] Speed: 10.52 samples/sec Train-Accuracy=0.738571
2016-09-24 13:59:04,354 Epoch[3] Batch [24500] Speed: 10.49 samples/sec Train-Accuracy=0.735714
2016-09-24 13:59:43,466 Epoch[3] Batch [24550] Speed: 10.23 samples/sec Train-Accuracy=0.715714
2016-09-24 14:00:22,427 Epoch[3] Batch [24600] Speed: 10.27 samples/sec Train-Accuracy=0.782857
2016-09-24 14:01:01,174 Epoch[3] Batch [24650] Speed: 10.32 samples/sec Train-Accuracy=0.780000
2016-09-24 14:01:38,786 Epoch[3] Batch [24700] Speed: 10.63 samples/sec Train-Accuracy=0.740000
2016-09-24 14:02:16,407 Epoch[3] Batch [24750] Speed: 10.63 samples/sec Train-Accuracy=0.745714
2016-09-24 14:02:54,033 Epoch[3] Batch [24800] Speed: 10.63 samples/sec Train-Accuracy=0.731429
2016-09-24 14:03:31,619 Epoch[3] Batch [24850] Speed: 10.64 samples/sec Train-Accuracy=0.720000
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2016-09-24 14:05:25,695 Epoch[3] Batch [25000] Speed: 10.47 samples/sec Train-Accuracy=0.750000
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2016-09-24 14:07:17,565 Epoch[3] Batch [25150] Speed: 10.74 samples/sec Train-Accuracy=0.724286
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2016-09-24 14:08:32,154 Epoch[3] Batch [25250] Speed: 10.71 samples/sec Train-Accuracy=0.744286
2016-09-24 14:09:09,490 Epoch[3] Batch [25300] Speed: 10.71 samples/sec Train-Accuracy=0.721429
2016-09-24 14:09:46,811 Epoch[3] Batch [25350] Speed: 10.72 samples/sec Train-Accuracy=0.752857
2016-09-24 14:10:24,094 Epoch[3] Batch [25400] Speed: 10.73 samples/sec Train-Accuracy=0.741429
2016-09-24 14:11:01,424 Epoch[3] Batch [25450] Speed: 10.72 samples/sec Train-Accuracy=0.732857
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2016-09-24 14:12:16,139 Epoch[3] Batch [25550] Speed: 10.71 samples/sec Train-Accuracy=0.724286
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2016-09-24 14:13:30,860 Epoch[3] Batch [25650] Speed: 10.71 samples/sec Train-Accuracy=0.718571
2016-09-24 14:14:08,209 Epoch[3] Batch [25700] Speed: 10.71 samples/sec Train-Accuracy=0.757143
2016-09-24 14:14:45,469 Epoch[3] Batch [25750] Speed: 10.74 samples/sec Train-Accuracy=0.758571
2016-09-24 14:15:22,759 Epoch[3] Batch [25800] Speed: 10.73 samples/sec Train-Accuracy=0.687143
2016-09-24 14:16:00,058 Epoch[3] Batch [25850] Speed: 10.72 samples/sec Train-Accuracy=0.752857
2016-09-24 14:16:37,393 Epoch[3] Batch [25900] Speed: 10.71 samples/sec Train-Accuracy=0.771429
2016-09-24 14:17:14,762 Epoch[3] Batch [25950] Speed: 10.70 samples/sec Train-Accuracy=0.740000
2016-09-24 14:17:52,235 Epoch[3] Batch [26000] Speed: 10.67 samples/sec Train-Accuracy=0.731429
2016-09-24 14:18:30,638 Epoch[3] Batch [26050] Speed: 10.42 samples/sec Train-Accuracy=0.777143
2016-09-24 14:19:09,316 Epoch[3] Batch [26100] Speed: 10.34 samples/sec Train-Accuracy=0.760000
2016-09-24 14:19:47,330 Epoch[3] Batch [26150] Speed: 10.52 samples/sec Train-Accuracy=0.745714
2016-09-24 14:20:25,238 Epoch[3] Batch [26200] Speed: 10.55 samples/sec Train-Accuracy=0.741429
2016-09-24 14:21:03,314 Epoch[3] Batch [26250] Speed: 10.51 samples/sec Train-Accuracy=0.765714
2016-09-24 14:21:41,464 Epoch[3] Batch [26300] Speed: 10.49 samples/sec Train-Accuracy=0.775714
2016-09-24 14:22:20,090 Epoch[3] Batch [26350] Speed: 10.36 samples/sec Train-Accuracy=0.710000
2016-09-24 14:22:58,104 Epoch[3] Batch [26400] Speed: 10.52 samples/sec Train-Accuracy=0.780000
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2016-09-24 14:24:13,417 Epoch[3] Batch [26500] Speed: 10.63 samples/sec Train-Accuracy=0.740000
2016-09-24 14:24:50,737 Epoch[3] Batch [26550] Speed: 10.72 samples/sec Train-Accuracy=0.798571
2016-09-24 14:25:28,099 Epoch[3] Batch [26600] Speed: 10.71 samples/sec Train-Accuracy=0.774286
2016-09-24 14:26:05,369 Epoch[3] Batch [26650] Speed: 10.73 samples/sec Train-Accuracy=0.775714
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2016-09-24 14:27:20,955 Epoch[3] Batch [26750] Speed: 10.57 samples/sec Train-Accuracy=0.780000
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2016-09-24 14:28:36,579 Epoch[3] Batch [26850] Speed: 10.57 samples/sec Train-Accuracy=0.748571
2016-09-24 14:29:14,409 Epoch[3] Batch [26900] Speed: 10.57 samples/sec Train-Accuracy=0.738571
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2016-09-24 14:30:32,546 Epoch[3] Batch [27000] Speed: 10.51 samples/sec Train-Accuracy=0.764286
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2016-09-24 14:33:05,342 Epoch[3] Batch [27200] Speed: 10.50 samples/sec Train-Accuracy=0.740000
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2016-09-24 14:35:36,130 Epoch[3] Batch [27400] Speed: 10.46 samples/sec Train-Accuracy=0.757143
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2016-09-24 15:14:06,812 Epoch[3] Batch [30400] Speed: 10.64 samples/sec Train-Accuracy=0.734286
2016-09-24 15:14:43,763 Epoch[3] Batch [30450] Speed: 10.83 samples/sec Train-Accuracy=0.752857
2016-09-24 15:15:24,234 Epoch[3] Batch [30500] Speed: 9.88 samples/sec Train-Accuracy=0.745714
2016-09-24 15:16:02,537 Epoch[3] Batch [30550] Speed: 10.44 samples/sec Train-Accuracy=0.715714
2016-09-24 15:16:41,417 Epoch[3] Batch [30600] Speed: 10.29 samples/sec Train-Accuracy=0.748571
2016-09-24 15:17:20,542 Epoch[3] Batch [30650] Speed: 10.22 samples/sec Train-Accuracy=0.747143
2016-09-24 15:18:00,306 Epoch[3] Batch [30700] Speed: 10.06 samples/sec Train-Accuracy=0.765714
2016-09-24 15:18:39,648 Epoch[3] Batch [30750] Speed: 10.17 samples/sec Train-Accuracy=0.775714
2016-09-24 15:19:17,746 Epoch[3] Batch [30800] Speed: 10.50 samples/sec Train-Accuracy=0.757143
2016-09-24 15:19:55,919 Epoch[3] Batch [30850] Speed: 10.48 samples/sec Train-Accuracy=0.778571
2016-09-24 15:20:34,050 Epoch[3] Batch [30900] Speed: 10.49 samples/sec Train-Accuracy=0.744286
2016-09-24 15:21:11,666 Epoch[3] Batch [30950] Speed: 10.63 samples/sec Train-Accuracy=0.780000
2016-09-24 15:21:49,476 Epoch[3] Batch [31000] Speed: 10.58 samples/sec Train-Accuracy=0.748571
2016-09-24 15:22:30,084 Epoch[3] Batch [31050] Speed: 9.85 samples/sec Train-Accuracy=0.741429
2016-09-24 15:23:09,408 Epoch[3] Batch [31100] Speed: 10.17 samples/sec Train-Accuracy=0.735714
2016-09-24 15:23:48,123 Epoch[3] Batch [31150] Speed: 10.33 samples/sec Train-Accuracy=0.751429
2016-09-24 15:24:26,390 Epoch[3] Batch [31200] Speed: 10.45 samples/sec Train-Accuracy=0.768571
2016-09-24 15:25:04,736 Epoch[3] Batch [31250] Speed: 10.43 samples/sec Train-Accuracy=0.738571
2016-09-24 15:25:43,019 Epoch[3] Batch [31300] Speed: 10.45 samples/sec Train-Accuracy=0.735714
2016-09-24 15:26:20,975 Epoch[3] Batch [31350] Speed: 10.54 samples/sec Train-Accuracy=0.752857
2016-09-24 15:26:58,985 Epoch[3] Batch [31400] Speed: 10.52 samples/sec Train-Accuracy=0.727143
2016-09-24 15:27:37,427 Epoch[3] Batch [31450] Speed: 10.41 samples/sec Train-Accuracy=0.774286
2016-09-24 15:28:16,601 Epoch[3] Batch [31500] Speed: 10.21 samples/sec Train-Accuracy=0.761429
2016-09-24 15:28:54,182 Epoch[3] Batch [31550] Speed: 10.64 samples/sec Train-Accuracy=0.767143
2016-09-24 15:29:32,329 Epoch[3] Batch [31600] Speed: 10.49 samples/sec Train-Accuracy=0.747143
2016-09-24 15:30:10,695 Epoch[3] Batch [31650] Speed: 10.43 samples/sec Train-Accuracy=0.777143
2016-09-24 15:30:48,718 Epoch[3] Batch [31700] Speed: 10.52 samples/sec Train-Accuracy=0.760000
2016-09-24 15:31:27,595 Epoch[3] Batch [31750] Speed: 10.29 samples/sec Train-Accuracy=0.782857
2016-09-24 15:32:06,181 Epoch[3] Batch [31800] Speed: 10.37 samples/sec Train-Accuracy=0.735714
2016-09-24 15:32:44,592 Epoch[3] Batch [31850] Speed: 10.41 samples/sec Train-Accuracy=0.800000
2016-09-24 15:33:23,061 Epoch[3] Batch [31900] Speed: 10.40 samples/sec Train-Accuracy=0.758571
2016-09-24 15:34:01,615 Epoch[3] Batch [31950] Speed: 10.37 samples/sec Train-Accuracy=0.752857
2016-09-24 15:34:40,337 Epoch[3] Batch [32000] Speed: 10.33 samples/sec Train-Accuracy=0.731429
2016-09-24 15:35:18,671 Epoch[3] Batch [32050] Speed: 10.43 samples/sec Train-Accuracy=0.758571
2016-09-24 15:35:56,007 Epoch[3] Batch [32100] Speed: 10.71 samples/sec Train-Accuracy=0.754286
2016-09-24 15:36:33,333 Epoch[3] Batch [32150] Speed: 10.72 samples/sec Train-Accuracy=0.745714
2016-09-24 15:37:10,618 Epoch[3] Batch [32200] Speed: 10.73 samples/sec Train-Accuracy=0.757143
2016-09-24 15:37:47,903 Epoch[3] Batch [32250] Speed: 10.73 samples/sec Train-Accuracy=0.720000
2016-09-24 15:38:25,131 Epoch[3] Batch [32300] Speed: 10.74 samples/sec Train-Accuracy=0.797143
2016-09-24 15:39:02,307 Epoch[3] Batch [32350] Speed: 10.76 samples/sec Train-Accuracy=0.712857
2016-09-24 15:39:39,096 Epoch[3] Batch [32400] Speed: 10.87 samples/sec Train-Accuracy=0.764286
2016-09-24 15:40:15,801 Epoch[3] Batch [32450] Speed: 10.90 samples/sec Train-Accuracy=0.767143
2016-09-24 15:40:53,706 Epoch[3] Batch [32500] Speed: 10.55 samples/sec Train-Accuracy=0.751429
2016-09-24 15:41:31,634 Epoch[3] Batch [32550] Speed: 10.55 samples/sec Train-Accuracy=0.745714
2016-09-24 15:42:09,500 Epoch[3] Batch [32600] Speed: 10.56 samples/sec Train-Accuracy=0.702857
2016-09-24 15:42:47,321 Epoch[3] Batch [32650] Speed: 10.58 samples/sec Train-Accuracy=0.778571
2016-09-24 15:43:26,750 Epoch[3] Batch [32700] Speed: 10.14 samples/sec Train-Accuracy=0.770000
2016-09-24 15:44:03,431 Epoch[3] Batch [32750] Speed: 10.90 samples/sec Train-Accuracy=0.760000
2016-09-24 15:44:40,356 Epoch[3] Batch [32800] Speed: 10.83 samples/sec Train-Accuracy=0.711429
2016-09-24 15:45:16,923 Epoch[3] Batch [32850] Speed: 10.94 samples/sec Train-Accuracy=0.747143
2016-09-24 15:45:53,543 Epoch[3] Batch [32900] Speed: 10.92 samples/sec Train-Accuracy=0.791429
2016-09-24 15:46:33,326 Epoch[3] Batch [32950] Speed: 10.05 samples/sec Train-Accuracy=0.731429
2016-09-24 15:47:13,244 Epoch[3] Batch [33000] Speed: 10.02 samples/sec Train-Accuracy=0.758571
2016-09-24 15:47:52,778 Epoch[3] Batch [33050] Speed: 10.12 samples/sec Train-Accuracy=0.741429
2016-09-24 15:48:32,426 Epoch[3] Batch [33100] Speed: 10.09 samples/sec Train-Accuracy=0.754286
2016-09-24 15:49:12,443 Epoch[3] Batch [33150] Speed: 10.00 samples/sec Train-Accuracy=0.764286
2016-09-24 15:49:50,819 Epoch[3] Batch [33200] Speed: 10.42 samples/sec Train-Accuracy=0.755714
2016-09-24 15:50:30,663 Epoch[3] Batch [33250] Speed: 10.04 samples/sec Train-Accuracy=0.750000
2016-09-24 15:51:07,639 Epoch[3] Batch [33300] Speed: 10.82 samples/sec Train-Accuracy=0.712857
2016-09-24 15:51:43,794 Epoch[3] Batch [33350] Speed: 11.06 samples/sec Train-Accuracy=0.757143
2016-09-24 15:52:19,947 Epoch[3] Batch [33400] Speed: 11.06 samples/sec Train-Accuracy=0.754286
2016-09-24 15:52:56,188 Epoch[3] Batch [33450] Speed: 11.04 samples/sec Train-Accuracy=0.761429
2016-09-24 15:53:32,383 Epoch[3] Batch [33500] Speed: 11.05 samples/sec Train-Accuracy=0.755714
2016-09-24 15:54:08,648 Epoch[3] Batch [33550] Speed: 11.03 samples/sec Train-Accuracy=0.765714
2016-09-24 15:54:49,478 Epoch[3] Batch [33600] Speed: 9.80 samples/sec Train-Accuracy=0.774286
2016-09-24 15:55:29,490 Epoch[3] Batch [33650] Speed: 10.00 samples/sec Train-Accuracy=0.784286
2016-09-24 15:56:06,610 Epoch[3] Batch [33700] Speed: 10.78 samples/sec Train-Accuracy=0.758571
2016-09-24 15:56:42,941 Epoch[3] Batch [33750] Speed: 11.01 samples/sec Train-Accuracy=0.762857
2016-09-24 15:57:19,312 Epoch[3] Batch [33800] Speed: 11.00 samples/sec Train-Accuracy=0.751429
2016-09-24 15:57:55,292 Epoch[3] Batch [33850] Speed: 11.12 samples/sec Train-Accuracy=0.787143
2016-09-24 15:58:32,460 Epoch[3] Batch [33900] Speed: 10.76 samples/sec Train-Accuracy=0.758571
2016-09-24 15:59:08,371 Epoch[3] Batch [33950] Speed: 11.14 samples/sec Train-Accuracy=0.775714
2016-09-24 15:59:44,277 Epoch[3] Batch [34000] Speed: 11.14 samples/sec Train-Accuracy=0.755714
2016-09-24 16:00:20,235 Epoch[3] Batch [34050] Speed: 11.12 samples/sec Train-Accuracy=0.735714
2016-09-24 16:00:56,149 Epoch[3] Batch [34100] Speed: 11.14 samples/sec Train-Accuracy=0.720000
2016-09-24 16:01:32,097 Epoch[3] Batch [34150] Speed: 11.13 samples/sec Train-Accuracy=0.725714
2016-09-24 16:02:08,261 Epoch[3] Batch [34200] Speed: 11.06 samples/sec Train-Accuracy=0.785714
2016-09-24 16:02:44,460 Epoch[3] Batch [34250] Speed: 11.05 samples/sec Train-Accuracy=0.752857
2016-09-24 16:03:20,915 Epoch[3] Batch [34300] Speed: 10.97 samples/sec Train-Accuracy=0.755714
2016-09-24 16:03:58,419 Epoch[3] Batch [34350] Speed: 10.67 samples/sec Train-Accuracy=0.752857
2016-09-24 16:04:35,688 Epoch[3] Batch [34400] Speed: 10.73 samples/sec Train-Accuracy=0.724286
2016-09-24 16:05:13,255 Epoch[3] Batch [34450] Speed: 10.65 samples/sec Train-Accuracy=0.728571
2016-09-24 16:05:50,732 Epoch[3] Batch [34500] Speed: 10.67 samples/sec Train-Accuracy=0.765714
2016-09-24 16:06:28,529 Epoch[3] Batch [34550] Speed: 10.58 samples/sec Train-Accuracy=0.777143
2016-09-24 16:07:05,658 Epoch[3] Batch [34600] Speed: 10.77 samples/sec Train-Accuracy=0.732857
2016-09-24 16:07:42,422 Epoch[3] Batch [34650] Speed: 10.88 samples/sec Train-Accuracy=0.734286
2016-09-24 16:08:19,427 Epoch[3] Batch [34700] Speed: 10.81 samples/sec Train-Accuracy=0.761429
2016-09-24 16:08:56,536 Epoch[3] Batch [34750] Speed: 10.78 samples/sec Train-Accuracy=0.750000
2016-09-24 16:09:38,883 Epoch[3] Batch [34800] Speed: 9.45 samples/sec Train-Accuracy=0.795714
2016-09-24 16:10:16,179 Epoch[3] Batch [34850] Speed: 10.73 samples/sec Train-Accuracy=0.761429
2016-09-24 16:10:52,970 Epoch[3] Batch [34900] Speed: 10.87 samples/sec Train-Accuracy=0.745714
2016-09-24 16:11:35,317 Epoch[3] Batch [34950] Speed: 9.45 samples/sec Train-Accuracy=0.760000
2016-09-24 16:12:14,771 Epoch[3] Batch [35000] Speed: 10.14 samples/sec Train-Accuracy=0.765714
2016-09-24 16:12:56,998 Epoch[3] Batch [35050] Speed: 9.47 samples/sec Train-Accuracy=0.747143
2016-09-24 16:13:38,467 Epoch[3] Batch [35100] Speed: 9.65 samples/sec Train-Accuracy=0.758571
2016-09-24 16:14:19,354 Epoch[3] Batch [35150] Speed: 9.78 samples/sec Train-Accuracy=0.744286
2016-09-24 16:14:58,370 Epoch[3] Batch [35200] Speed: 10.25 samples/sec Train-Accuracy=0.750000
2016-09-24 16:15:35,241 Epoch[3] Batch [35250] Speed: 10.85 samples/sec Train-Accuracy=0.728571
2016-09-24 16:16:12,063 Epoch[3] Batch [35300] Speed: 10.86 samples/sec Train-Accuracy=0.747143
2016-09-24 16:16:49,001 Epoch[3] Batch [35350] Speed: 10.83 samples/sec Train-Accuracy=0.774286
2016-09-24 16:17:25,889 Epoch[3] Batch [35400] Speed: 10.84 samples/sec Train-Accuracy=0.745714
2016-09-24 16:18:02,972 Epoch[3] Batch [35450] Speed: 10.79 samples/sec Train-Accuracy=0.740000
2016-09-24 16:18:40,039 Epoch[3] Batch [35500] Speed: 10.79 samples/sec Train-Accuracy=0.752857
2016-09-24 16:19:17,135 Epoch[3] Batch [35550] Speed: 10.78 samples/sec Train-Accuracy=0.721429
2016-09-24 16:19:54,274 Epoch[3] Batch [35600] Speed: 10.77 samples/sec Train-Accuracy=0.732857
2016-09-24 16:20:31,935 Epoch[3] Batch [35650] Speed: 10.62 samples/sec Train-Accuracy=0.722857
2016-09-24 16:21:07,901 Epoch[3] Batch [35700] Speed: 11.12 samples/sec Train-Accuracy=0.752857
2016-09-24 16:21:43,781 Epoch[3] Batch [35750] Speed: 11.15 samples/sec Train-Accuracy=0.747143
2016-09-24 16:22:19,689 Epoch[3] Batch [35800] Speed: 11.14 samples/sec Train-Accuracy=0.768571
2016-09-24 16:22:55,643 Epoch[3] Batch [35850] Speed: 11.13 samples/sec Train-Accuracy=0.724286
2016-09-24 16:23:32,379 Epoch[3] Batch [35900] Speed: 10.89 samples/sec Train-Accuracy=0.700000
2016-09-24 16:24:09,736 Epoch[3] Batch [35950] Speed: 10.71 samples/sec Train-Accuracy=0.755714
2016-09-24 16:24:47,331 Epoch[3] Batch [36000] Speed: 10.64 samples/sec Train-Accuracy=0.804286
2016-09-24 16:25:24,544 Epoch[3] Batch [36050] Speed: 10.75 samples/sec Train-Accuracy=0.761429
2016-09-24 16:26:03,490 Epoch[3] Batch [36100] Speed: 10.27 samples/sec Train-Accuracy=0.745714
2016-09-24 16:26:43,310 Epoch[3] Batch [36150] Speed: 10.05 samples/sec Train-Accuracy=0.770000
2016-09-24 16:27:21,459 Epoch[3] Batch [36200] Speed: 10.49 samples/sec Train-Accuracy=0.780000
2016-09-24 16:27:59,671 Epoch[3] Batch [36250] Speed: 10.47 samples/sec Train-Accuracy=0.775714
2016-09-24 16:28:37,484 Epoch[3] Batch [36300] Speed: 10.58 samples/sec Train-Accuracy=0.750000
2016-09-24 16:29:15,517 Epoch[3] Batch [36350] Speed: 10.52 samples/sec Train-Accuracy=0.731429
2016-09-24 16:29:53,765 Epoch[3] Batch [36400] Speed: 10.46 samples/sec Train-Accuracy=0.750000
2016-09-24 16:30:31,229 Epoch[3] Batch [36450] Speed: 10.68 samples/sec Train-Accuracy=0.767143
2016-09-24 16:31:08,002 Epoch[3] Batch [36500] Speed: 10.88 samples/sec Train-Accuracy=0.761429
2016-09-24 16:31:45,002 Epoch[3] Batch [36550] Speed: 10.81 samples/sec Train-Accuracy=0.800000
2016-09-24 16:32:22,045 Epoch[3] Batch [36600] Speed: 10.80 samples/sec Train-Accuracy=0.752857
2016-09-24 16:32:59,652 Epoch[3] Batch [36650] Speed: 10.64 samples/sec Train-Accuracy=0.724286
2016-09-24 16:33:37,668 Epoch[3] Batch [36700] Speed: 10.52 samples/sec Train-Accuracy=0.751429
2016-09-24 16:34:16,118 Epoch[3] Batch [36750] Speed: 10.40 samples/sec Train-Accuracy=0.738571
2016-09-24 16:34:54,590 Epoch[3] Batch [36800] Speed: 10.40 samples/sec Train-Accuracy=0.757143
2016-09-24 16:35:32,707 Epoch[3] Batch [36850] Speed: 10.49 samples/sec Train-Accuracy=0.747143
2016-09-24 16:36:10,478 Epoch[3] Batch [36900] Speed: 10.59 samples/sec Train-Accuracy=0.760000
2016-09-24 16:36:49,624 Epoch[3] Batch [36950] Speed: 10.22 samples/sec Train-Accuracy=0.768571
2016-09-24 16:37:28,391 Epoch[3] Batch [37000] Speed: 10.32 samples/sec Train-Accuracy=0.725714
2016-09-24 16:38:07,614 Epoch[3] Batch [37050] Speed: 10.20 samples/sec Train-Accuracy=0.764286
2016-09-24 16:38:46,446 Epoch[3] Batch [37100] Speed: 10.30 samples/sec Train-Accuracy=0.791429
2016-09-24 16:39:23,972 Epoch[3] Batch [37150] Speed: 10.66 samples/sec Train-Accuracy=0.787143
2016-09-24 16:40:00,936 Epoch[3] Batch [37200] Speed: 10.82 samples/sec Train-Accuracy=0.762857
2016-09-24 16:40:37,927 Epoch[3] Batch [37250] Speed: 10.81 samples/sec Train-Accuracy=0.752857
2016-09-24 16:41:14,896 Epoch[3] Batch [37300] Speed: 10.82 samples/sec Train-Accuracy=0.760000
2016-09-24 16:41:52,148 Epoch[3] Batch [37350] Speed: 10.74 samples/sec Train-Accuracy=0.755714
2016-09-24 16:42:30,006 Epoch[3] Batch [37400] Speed: 10.57 samples/sec Train-Accuracy=0.698571
2016-09-24 16:43:06,989 Epoch[3] Batch [37450] Speed: 10.82 samples/sec Train-Accuracy=0.721429
2016-09-24 16:43:43,996 Epoch[3] Batch [37500] Speed: 10.81 samples/sec Train-Accuracy=0.758571
2016-09-24 16:44:21,043 Epoch[3] Batch [37550] Speed: 10.80 samples/sec Train-Accuracy=0.748571
2016-09-24 16:44:58,545 Epoch[3] Batch [37600] Speed: 10.67 samples/sec Train-Accuracy=0.762857
2016-09-24 16:45:39,519 Epoch[3] Batch [37650] Speed: 9.76 samples/sec Train-Accuracy=0.735714
2016-09-24 16:46:21,072 Epoch[3] Batch [37700] Speed: 9.63 samples/sec Train-Accuracy=0.747143
2016-09-24 16:47:02,007 Epoch[3] Batch [37750] Speed: 9.77 samples/sec Train-Accuracy=0.774286
2016-09-24 16:47:43,140 Epoch[3] Batch [37800] Speed: 9.72 samples/sec Train-Accuracy=0.752857
2016-09-24 16:48:25,616 Epoch[3] Batch [37850] Speed: 9.42 samples/sec Train-Accuracy=0.755714
2016-09-24 16:49:04,363 Epoch[3] Batch [37900] Speed: 10.32 samples/sec Train-Accuracy=0.775714
2016-09-24 16:49:42,856 Epoch[3] Batch [37950] Speed: 10.39 samples/sec Train-Accuracy=0.758571
2016-09-24 16:50:21,241 Epoch[3] Batch [38000] Speed: 10.42 samples/sec Train-Accuracy=0.785714
2016-09-24 16:50:59,283 Epoch[3] Batch [38050] Speed: 10.51 samples/sec Train-Accuracy=0.744286
2016-09-24 16:51:37,248 Epoch[3] Batch [38100] Speed: 10.54 samples/sec Train-Accuracy=0.727143
2016-09-24 16:52:15,568 Epoch[3] Batch [38150] Speed: 10.44 samples/sec Train-Accuracy=0.760000
2016-09-24 16:52:53,170 Epoch[3] Batch [38200] Speed: 10.64 samples/sec Train-Accuracy=0.701429
2016-09-24 16:53:30,402 Epoch[3] Batch [38250] Speed: 10.74 samples/sec Train-Accuracy=0.764286
2016-09-24 16:54:07,861 Epoch[3] Batch [38300] Speed: 10.68 samples/sec Train-Accuracy=0.740000
2016-09-24 16:54:45,595 Epoch[3] Batch [38350] Speed: 10.60 samples/sec Train-Accuracy=0.774286
2016-09-24 16:55:23,265 Epoch[3] Batch [38400] Speed: 10.62 samples/sec Train-Accuracy=0.784286
2016-09-24 16:56:00,801 Epoch[3] Batch [38450] Speed: 10.66 samples/sec Train-Accuracy=0.734286
2016-09-24 16:56:38,928 Epoch[3] Batch [38500] Speed: 10.49 samples/sec Train-Accuracy=0.748571
2016-09-24 16:57:20,196 Epoch[3] Batch [38550] Speed: 9.69 samples/sec Train-Accuracy=0.734286
2016-09-24 16:58:02,142 Epoch[3] Batch [38600] Speed: 9.54 samples/sec Train-Accuracy=0.750000
2016-09-24 16:58:43,875 Epoch[3] Batch [38650] Speed: 9.58 samples/sec Train-Accuracy=0.785714
2016-09-24 16:59:24,429 Epoch[3] Batch [38700] Speed: 9.86 samples/sec Train-Accuracy=0.767143
2016-09-24 17:00:06,005 Epoch[3] Batch [38750] Speed: 9.62 samples/sec Train-Accuracy=0.751429
2016-09-24 17:00:46,664 Epoch[3] Batch [38800] Speed: 9.84 samples/sec Train-Accuracy=0.745714
2016-09-24 17:01:26,141 Epoch[3] Batch [38850] Speed: 10.13 samples/sec Train-Accuracy=0.757143
2016-09-24 17:02:05,889 Epoch[3] Batch [38900] Speed: 10.06 samples/sec Train-Accuracy=0.760000
2016-09-24 17:02:47,033 Epoch[3] Batch [38950] Speed: 9.72 samples/sec Train-Accuracy=0.760000
2016-09-24 17:03:26,158 Epoch[3] Batch [39000] Speed: 10.22 samples/sec Train-Accuracy=0.747143
2016-09-24 17:04:05,749 Epoch[3] Batch [39050] Speed: 10.10 samples/sec Train-Accuracy=0.762857
2016-09-24 17:04:46,629 Epoch[3] Batch [39100] Speed: 9.78 samples/sec Train-Accuracy=0.734286
2016-09-24 17:05:27,225 Epoch[3] Batch [39150] Speed: 9.85 samples/sec Train-Accuracy=0.762857
2016-09-24 17:06:05,087 Epoch[3] Batch [39200] Speed: 10.56 samples/sec Train-Accuracy=0.738571
2016-09-24 17:06:42,856 Epoch[3] Batch [39250] Speed: 10.59 samples/sec Train-Accuracy=0.764286
2016-09-24 17:07:22,793 Epoch[3] Batch [39300] Speed: 10.02 samples/sec Train-Accuracy=0.762857
2016-09-24 17:08:03,902 Epoch[3] Batch [39350] Speed: 9.73 samples/sec Train-Accuracy=0.747143
2016-09-24 17:08:45,055 Epoch[3] Batch [39400] Speed: 9.72 samples/sec Train-Accuracy=0.748571
2016-09-24 17:09:26,337 Epoch[3] Batch [39450] Speed: 9.69 samples/sec Train-Accuracy=0.751429
2016-09-24 17:10:07,462 Epoch[3] Batch [39500] Speed: 9.73 samples/sec Train-Accuracy=0.765714
2016-09-24 17:10:48,418 Epoch[3] Batch [39550] Speed: 9.77 samples/sec Train-Accuracy=0.754286
2016-09-24 17:11:28,966 Epoch[3] Batch [39600] Speed: 9.86 samples/sec Train-Accuracy=0.772857
2016-09-24 17:12:09,599 Epoch[3] Batch [39650] Speed: 9.84 samples/sec Train-Accuracy=0.727143
2016-09-24 17:12:50,146 Epoch[3] Batch [39700] Speed: 9.87 samples/sec Train-Accuracy=0.762857
2016-09-24 17:13:30,713 Epoch[3] Batch [39750] Speed: 9.86 samples/sec Train-Accuracy=0.742857
2016-09-24 17:14:10,912 Epoch[3] Batch [39800] Speed: 9.95 samples/sec Train-Accuracy=0.737143
2016-09-24 17:14:50,500 Epoch[3] Batch [39850] Speed: 10.10 samples/sec Train-Accuracy=0.781429
2016-09-24 17:15:28,182 Epoch[3] Batch [39900] Speed: 10.62 samples/sec Train-Accuracy=0.737143
2016-09-24 17:16:05,610 Epoch[3] Batch [39950] Speed: 10.69 samples/sec Train-Accuracy=0.778571
2016-09-24 17:16:42,900 Epoch[3] Batch [40000] Speed: 10.73 samples/sec Train-Accuracy=0.748571
2016-09-24 17:17:19,786 Epoch[3] Batch [40050] Speed: 10.84 samples/sec Train-Accuracy=0.764286
2016-09-24 17:17:59,050 Epoch[3] Batch [40100] Speed: 10.19 samples/sec Train-Accuracy=0.747143
2016-09-24 17:18:36,769 Epoch[3] Batch [40150] Speed: 10.60 samples/sec Train-Accuracy=0.744286
2016-09-24 17:19:14,202 Epoch[3] Batch [40200] Speed: 10.69 samples/sec Train-Accuracy=0.742857
2016-09-24 17:19:51,650 Epoch[3] Batch [40250] Speed: 10.68 samples/sec Train-Accuracy=0.747143
2016-09-24 17:20:29,089 Epoch[3] Batch [40300] Speed: 10.68 samples/sec Train-Accuracy=0.727143
2016-09-24 17:21:06,476 Epoch[3] Batch [40350] Speed: 10.70 samples/sec Train-Accuracy=0.718571
2016-09-24 17:21:44,153 Epoch[3] Batch [40400] Speed: 10.62 samples/sec Train-Accuracy=0.738571
2016-09-24 17:22:21,499 Epoch[3] Batch [40450] Speed: 10.71 samples/sec Train-Accuracy=0.742857
2016-09-24 17:22:58,912 Epoch[3] Batch [40500] Speed: 10.69 samples/sec Train-Accuracy=0.787143
2016-09-24 17:23:36,287 Epoch[3] Batch [40550] Speed: 10.70 samples/sec Train-Accuracy=0.775714
2016-09-24 17:24:13,762 Epoch[3] Batch [40600] Speed: 10.67 samples/sec Train-Accuracy=0.757143
2016-09-24 17:24:51,423 Epoch[3] Batch [40650] Speed: 10.62 samples/sec Train-Accuracy=0.760000
2016-09-24 17:25:28,768 Epoch[3] Batch [40700] Speed: 10.71 samples/sec Train-Accuracy=0.765714
2016-09-24 17:26:06,199 Epoch[3] Batch [40750] Speed: 10.69 samples/sec Train-Accuracy=0.767143
2016-09-24 17:26:43,672 Epoch[3] Batch [40800] Speed: 10.67 samples/sec Train-Accuracy=0.761429
2016-09-24 17:27:21,485 Epoch[3] Batch [40850] Speed: 10.58 samples/sec Train-Accuracy=0.742857
2016-09-24 17:27:58,916 Epoch[3] Batch [40900] Speed: 10.69 samples/sec Train-Accuracy=0.757143
2016-09-24 17:28:35,782 Epoch[3] Batch [40950] Speed: 10.85 samples/sec Train-Accuracy=0.770000
2016-09-24 17:29:12,080 Epoch[3] Batch [41000] Speed: 11.02 samples/sec Train-Accuracy=0.760000
2016-09-24 17:29:48,404 Epoch[3] Batch [41050] Speed: 11.01 samples/sec Train-Accuracy=0.734286
2016-09-24 17:30:25,505 Epoch[3] Batch [41100] Speed: 10.78 samples/sec Train-Accuracy=0.771429
2016-09-24 17:31:03,301 Epoch[3] Batch [41150] Speed: 10.58 samples/sec Train-Accuracy=0.747143
2016-09-24 17:31:45,193 Epoch[3] Batch [41200] Speed: 9.55 samples/sec Train-Accuracy=0.758571
2016-09-24 17:32:25,931 Epoch[3] Batch [41250] Speed: 9.82 samples/sec Train-Accuracy=0.765714
2016-09-24 17:33:05,349 Epoch[3] Batch [41300] Speed: 10.15 samples/sec Train-Accuracy=0.757143
2016-09-24 17:33:41,452 Epoch[3] Batch [41350] Speed: 11.08 samples/sec Train-Accuracy=0.715714
2016-09-24 17:34:17,986 Epoch[3] Batch [41400] Speed: 10.95 samples/sec Train-Accuracy=0.791429
2016-09-24 17:34:55,996 Epoch[3] Batch [41450] Speed: 10.52 samples/sec Train-Accuracy=0.732857
2016-09-24 17:35:32,107 Epoch[3] Batch [41500] Speed: 11.08 samples/sec Train-Accuracy=0.771429
2016-09-24 17:36:08,214 Epoch[3] Batch [41550] Speed: 11.08 samples/sec Train-Accuracy=0.758571
2016-09-24 17:36:44,339 Epoch[3] Batch [41600] Speed: 11.07 samples/sec Train-Accuracy=0.765714
2016-09-24 17:37:20,458 Epoch[3] Batch [41650] Speed: 11.07 samples/sec Train-Accuracy=0.777143
2016-09-24 17:37:56,605 Epoch[3] Batch [41700] Speed: 11.07 samples/sec Train-Accuracy=0.738571
2016-09-24 17:38:32,888 Epoch[3] Batch [41750] Speed: 11.02 samples/sec Train-Accuracy=0.778571
2016-09-24 17:39:08,957 Epoch[3] Batch [41800] Speed: 11.09 samples/sec Train-Accuracy=0.747143
2016-09-24 17:39:45,038 Epoch[3] Batch [41850] Speed: 11.09 samples/sec Train-Accuracy=0.725714
2016-09-24 17:40:22,457 Epoch[3] Batch [41900] Speed: 10.69 samples/sec Train-Accuracy=0.730000
2016-09-24 17:40:59,382 Epoch[3] Batch [41950] Speed: 10.83 samples/sec Train-Accuracy=0.717143
2016-09-24 17:41:35,517 Epoch[3] Batch [42000] Speed: 11.07 samples/sec Train-Accuracy=0.778571
2016-09-24 17:42:11,732 Epoch[3] Batch [42050] Speed: 11.05 samples/sec Train-Accuracy=0.747143
2016-09-24 17:42:47,921 Epoch[3] Batch [42100] Speed: 11.05 samples/sec Train-Accuracy=0.732857
2016-09-24 17:43:24,040 Epoch[3] Batch [42150] Speed: 11.07 samples/sec Train-Accuracy=0.731429
2016-09-24 17:44:00,258 Epoch[3] Batch [42200] Speed: 11.04 samples/sec Train-Accuracy=0.768571
2016-09-24 17:44:39,521 Epoch[3] Batch [42250] Speed: 10.19 samples/sec Train-Accuracy=0.761429
2016-09-24 17:45:21,706 Epoch[3] Batch [42300] Speed: 9.48 samples/sec Train-Accuracy=0.748571
2016-09-24 17:46:03,092 Epoch[3] Batch [42350] Speed: 9.67 samples/sec Train-Accuracy=0.714286
2016-09-24 17:46:40,481 Epoch[3] Batch [42400] Speed: 10.70 samples/sec Train-Accuracy=0.731429
2016-09-24 17:47:16,618 Epoch[3] Batch [42450] Speed: 11.07 samples/sec Train-Accuracy=0.737143
2016-09-24 17:47:52,797 Epoch[3] Batch [42500] Speed: 11.06 samples/sec Train-Accuracy=0.742857
2016-09-24 17:48:28,940 Epoch[3] Batch [42550] Speed: 11.07 samples/sec Train-Accuracy=0.748571
2016-09-24 17:49:05,035 Epoch[3] Batch [42600] Speed: 11.08 samples/sec Train-Accuracy=0.761429
2016-09-24 17:49:41,135 Epoch[3] Batch [42650] Speed: 11.08 samples/sec Train-Accuracy=0.734286
2016-09-24 17:50:17,263 Epoch[3] Batch [42700] Speed: 11.07 samples/sec Train-Accuracy=0.758571
2016-09-24 17:50:53,530 Epoch[3] Batch [42750] Speed: 11.03 samples/sec Train-Accuracy=0.762857
2016-09-24 17:51:29,598 Epoch[3] Batch [42800] Speed: 11.09 samples/sec Train-Accuracy=0.762857
2016-09-24 17:52:05,701 Epoch[3] Batch [42850] Speed: 11.08 samples/sec Train-Accuracy=0.770000
2016-09-24 17:52:41,850 Epoch[3] Batch [42900] Speed: 11.07 samples/sec Train-Accuracy=0.767143
2016-09-24 17:53:17,895 Epoch[3] Batch [42950] Speed: 11.10 samples/sec Train-Accuracy=0.754286
2016-09-24 17:53:54,007 Epoch[3] Batch [43000] Speed: 11.08 samples/sec Train-Accuracy=0.767143
2016-09-24 17:54:30,207 Epoch[3] Batch [43050] Speed: 11.05 samples/sec Train-Accuracy=0.745714
2016-09-24 17:55:06,369 Epoch[3] Batch [43100] Speed: 11.06 samples/sec Train-Accuracy=0.740000
2016-09-24 17:55:42,549 Epoch[3] Batch [43150] Speed: 11.06 samples/sec Train-Accuracy=0.744286
2016-09-24 17:56:18,690 Epoch[3] Batch [43200] Speed: 11.07 samples/sec Train-Accuracy=0.762857
2016-09-24 17:56:54,967 Epoch[3] Batch [43250] Speed: 11.03 samples/sec Train-Accuracy=0.751429
2016-09-24 17:57:32,479 Epoch[3] Batch [43300] Speed: 10.66 samples/sec Train-Accuracy=0.731429
2016-09-24 17:58:10,016 Epoch[3] Batch [43350] Speed: 10.66 samples/sec Train-Accuracy=0.748571
2016-09-24 17:58:47,873 Epoch[3] Batch [43400] Speed: 10.57 samples/sec Train-Accuracy=0.718571
2016-09-24 17:59:25,678 Epoch[3] Batch [43450] Speed: 10.58 samples/sec Train-Accuracy=0.764286
2016-09-24 18:00:02,700 Epoch[3] Batch [43500] Speed: 10.80 samples/sec Train-Accuracy=0.771429
2016-09-24 18:00:39,586 Epoch[3] Batch [43550] Speed: 10.84 samples/sec Train-Accuracy=0.785714
2016-09-24 18:01:16,758 Epoch[3] Batch [43600] Speed: 10.76 samples/sec Train-Accuracy=0.767143
2016-09-24 18:01:54,506 Epoch[3] Batch [43650] Speed: 10.60 samples/sec Train-Accuracy=0.751429
2016-09-24 18:02:31,553 Epoch[3] Batch [43700] Speed: 10.80 samples/sec Train-Accuracy=0.780000
2016-09-24 18:03:09,306 Epoch[3] Batch [43750] Speed: 10.60 samples/sec Train-Accuracy=0.742857
2016-09-24 18:03:47,100 Epoch[3] Batch [43800] Speed: 10.58 samples/sec Train-Accuracy=0.752857
2016-09-24 18:04:26,377 Epoch[3] Batch [43850] Speed: 10.18 samples/sec Train-Accuracy=0.767143
2016-09-24 18:05:03,200 Epoch[3] Batch [43900] Speed: 10.86 samples/sec Train-Accuracy=0.784286
2016-09-24 18:05:39,691 Epoch[3] Batch [43950] Speed: 10.96 samples/sec Train-Accuracy=0.754286
2016-09-24 18:06:15,657 Epoch[3] Batch [44000] Speed: 11.12 samples/sec Train-Accuracy=0.762857
2016-09-24 18:06:51,657 Epoch[3] Batch [44050] Speed: 11.11 samples/sec Train-Accuracy=0.770000
2016-09-24 18:07:29,289 Epoch[3] Batch [44100] Speed: 10.63 samples/sec Train-Accuracy=0.785714
2016-09-24 18:08:11,436 Epoch[3] Batch [44150] Speed: 9.49 samples/sec Train-Accuracy=0.774286
2016-09-24 18:08:52,406 Epoch[3] Batch [44200] Speed: 9.76 samples/sec Train-Accuracy=0.742857
2016-09-24 18:09:28,806 Epoch[3] Batch [44250] Speed: 10.99 samples/sec Train-Accuracy=0.771429
2016-09-24 18:10:04,881 Epoch[3] Batch [44300] Speed: 11.09 samples/sec Train-Accuracy=0.750000
2016-09-24 18:10:40,935 Epoch[3] Batch [44350] Speed: 11.09 samples/sec Train-Accuracy=0.754286
2016-09-24 18:11:17,103 Epoch[3] Batch [44400] Speed: 11.06 samples/sec Train-Accuracy=0.757143
2016-09-24 18:11:54,122 Epoch[3] Batch [44450] Speed: 10.81 samples/sec Train-Accuracy=0.775714
2016-09-24 18:12:36,000 Epoch[3] Batch [44500] Speed: 9.55 samples/sec Train-Accuracy=0.790000
2016-09-24 18:13:16,892 Epoch[3] Batch [44550] Speed: 9.78 samples/sec Train-Accuracy=0.775714
2016-09-24 18:13:59,048 Epoch[3] Batch [44600] Speed: 9.49 samples/sec Train-Accuracy=0.740000
2016-09-24 18:14:42,319 Epoch[3] Batch [44650] Speed: 9.24 samples/sec Train-Accuracy=0.700000
2016-09-24 18:15:25,483 Epoch[3] Batch [44700] Speed: 9.27 samples/sec Train-Accuracy=0.727143
2016-09-24 18:16:06,012 Epoch[3] Batch [44750] Speed: 9.87 samples/sec Train-Accuracy=0.752857
2016-09-24 18:16:43,823 Epoch[3] Batch [44800] Speed: 10.58 samples/sec Train-Accuracy=0.751429
2016-09-24 18:17:24,759 Epoch[3] Batch [44850] Speed: 9.77 samples/sec Train-Accuracy=0.767143
2016-09-24 18:18:07,560 Epoch[3] Batch [44900] Speed: 9.35 samples/sec Train-Accuracy=0.770000
2016-09-24 18:18:48,697 Epoch[3] Batch [44950] Speed: 9.72 samples/sec Train-Accuracy=0.774286
2016-09-24 18:19:26,458 Epoch[3] Batch [45000] Speed: 10.59 samples/sec Train-Accuracy=0.781429
2016-09-24 18:20:04,544 Epoch[3] Batch [45050] Speed: 10.50 samples/sec Train-Accuracy=0.768571
2016-09-24 18:20:41,149 Epoch[3] Batch [45100] Speed: 10.93 samples/sec Train-Accuracy=0.767143
2016-09-24 18:21:17,675 Epoch[3] Batch [45150] Speed: 10.95 samples/sec Train-Accuracy=0.771429
2016-09-24 18:21:54,085 Epoch[3] Batch [45200] Speed: 10.99 samples/sec Train-Accuracy=0.720000
2016-09-24 18:22:31,189 Epoch[3] Batch [45250] Speed: 10.78 samples/sec Train-Accuracy=0.757143
2016-09-24 18:23:08,305 Epoch[3] Batch [45300] Speed: 10.78 samples/sec Train-Accuracy=0.745714
2016-09-24 18:23:45,334 Epoch[3] Batch [45350] Speed: 10.80 samples/sec Train-Accuracy=0.755714
2016-09-24 18:24:22,870 Epoch[3] Batch [45400] Speed: 10.66 samples/sec Train-Accuracy=0.741429
2016-09-24 18:25:03,229 Epoch[3] Batch [45450] Speed: 9.91 samples/sec Train-Accuracy=0.744286
2016-09-24 18:25:40,185 Epoch[3] Batch [45500] Speed: 10.82 samples/sec Train-Accuracy=0.777143
2016-09-24 18:26:16,962 Epoch[3] Batch [45550] Speed: 10.88 samples/sec Train-Accuracy=0.722857
2016-09-24 18:26:53,937 Epoch[3] Batch [45600] Speed: 10.82 samples/sec Train-Accuracy=0.787143
2016-09-24 18:27:34,681 Epoch[3] Batch [45650] Speed: 9.82 samples/sec Train-Accuracy=0.768571
2016-09-24 18:28:12,279 Epoch[3] Batch [45700] Speed: 10.64 samples/sec Train-Accuracy=0.758571
2016-09-24 18:28:52,727 Epoch[3] Batch [45750] Speed: 9.89 samples/sec Train-Accuracy=0.765714
2016-09-24 18:29:34,114 Epoch[3] Batch [45800] Speed: 9.66 samples/sec Train-Accuracy=0.774286
2016-09-24 18:30:15,541 Epoch[3] Batch [45850] Speed: 9.66 samples/sec Train-Accuracy=0.730000
2016-09-24 18:30:56,972 Epoch[3] Batch [45900] Speed: 9.65 samples/sec Train-Accuracy=0.762857
2016-09-24 18:31:38,107 Epoch[3] Batch [45950] Speed: 9.72 samples/sec Train-Accuracy=0.721429
2016-09-24 18:32:19,124 Epoch[3] Batch [46000] Speed: 9.75 samples/sec Train-Accuracy=0.751429
2016-09-24 18:33:00,261 Epoch[3] Batch [46050] Speed: 9.72 samples/sec Train-Accuracy=0.727143
2016-09-24 18:33:41,631 Epoch[3] Batch [46100] Speed: 9.67 samples/sec Train-Accuracy=0.778571
2016-09-24 18:34:20,907 Epoch[3] Batch [46150] Speed: 10.18 samples/sec Train-Accuracy=0.755714
2016-09-24 18:34:58,022 Epoch[3] Batch [46200] Speed: 10.78 samples/sec Train-Accuracy=0.752857
2016-09-24 18:35:34,831 Epoch[3] Batch [46250] Speed: 10.87 samples/sec Train-Accuracy=0.748571
2016-09-24 18:36:11,648 Epoch[3] Batch [46300] Speed: 10.86 samples/sec Train-Accuracy=0.765714
2016-09-24 18:36:48,304 Epoch[3] Batch [46350] Speed: 10.91 samples/sec Train-Accuracy=0.748571
2016-09-24 18:37:25,726 Epoch[3] Batch [46400] Speed: 10.69 samples/sec Train-Accuracy=0.777143
2016-09-24 18:38:03,483 Epoch[3] Batch [46450] Speed: 10.59 samples/sec Train-Accuracy=0.752857
2016-09-24 18:38:41,572 Epoch[3] Batch [46500] Speed: 10.50 samples/sec Train-Accuracy=0.760000
2016-09-24 18:39:22,245 Epoch[3] Batch [46550] Speed: 9.83 samples/sec Train-Accuracy=0.735714
2016-09-24 18:40:02,662 Epoch[3] Batch [46600] Speed: 9.90 samples/sec Train-Accuracy=0.735714
2016-09-24 18:40:40,927 Epoch[3] Batch [46650] Speed: 10.45 samples/sec Train-Accuracy=0.754286
2016-09-24 18:41:17,583 Epoch[3] Batch [46700] Speed: 10.91 samples/sec Train-Accuracy=0.782857
2016-09-24 18:41:57,089 Epoch[3] Batch [46750] Speed: 10.13 samples/sec Train-Accuracy=0.731429
2016-09-24 18:42:38,205 Epoch[3] Batch [46800] Speed: 9.73 samples/sec Train-Accuracy=0.728571
2016-09-24 18:43:15,887 Epoch[3] Batch [46850] Speed: 10.62 samples/sec Train-Accuracy=0.760000
2016-09-24 18:43:52,832 Epoch[3] Batch [46900] Speed: 10.83 samples/sec Train-Accuracy=0.790000
2016-09-24 18:44:29,262 Epoch[3] Batch [46950] Speed: 10.98 samples/sec Train-Accuracy=0.737143
2016-09-24 18:45:05,688 Epoch[3] Batch [47000] Speed: 10.98 samples/sec Train-Accuracy=0.764286
2016-09-24 18:45:42,422 Epoch[3] Batch [47050] Speed: 10.89 samples/sec Train-Accuracy=0.762857
2016-09-24 18:46:19,449 Epoch[3] Batch [47100] Speed: 10.80 samples/sec Train-Accuracy=0.782857
2016-09-24 18:46:56,591 Epoch[3] Batch [47150] Speed: 10.77 samples/sec Train-Accuracy=0.750000
2016-09-24 18:47:34,115 Epoch[3] Batch [47200] Speed: 10.66 samples/sec Train-Accuracy=0.790000
2016-09-24 18:48:10,383 Epoch[3] Batch [47250] Speed: 11.03 samples/sec Train-Accuracy=0.757143
2016-09-24 18:48:46,687 Epoch[3] Batch [47300] Speed: 11.02 samples/sec Train-Accuracy=0.791429
2016-09-24 18:49:22,921 Epoch[3] Batch [47350] Speed: 11.04 samples/sec Train-Accuracy=0.784286
2016-09-24 18:49:59,312 Epoch[3] Batch [47400] Speed: 10.99 samples/sec Train-Accuracy=0.758571
2016-09-24 18:50:36,784 Epoch[3] Batch [47450] Speed: 10.67 samples/sec Train-Accuracy=0.768571
2016-09-24 18:51:13,722 Epoch[3] Batch [47500] Speed: 10.83 samples/sec Train-Accuracy=0.785714
2016-09-24 18:51:56,164 Epoch[3] Batch [47550] Speed: 9.42 samples/sec Train-Accuracy=0.757143
2016-09-24 18:52:36,110 Epoch[3] Batch [47600] Speed: 10.01 samples/sec Train-Accuracy=0.761429
2016-09-24 18:53:14,767 Epoch[3] Batch [47650] Speed: 10.35 samples/sec Train-Accuracy=0.788571
2016-09-24 18:53:52,361 Epoch[3] Batch [47700] Speed: 10.64 samples/sec Train-Accuracy=0.740000
2016-09-24 18:54:29,737 Epoch[3] Batch [47750] Speed: 10.70 samples/sec Train-Accuracy=0.750000
2016-09-24 18:55:06,949 Epoch[3] Batch [47800] Speed: 10.75 samples/sec Train-Accuracy=0.770000
2016-09-24 18:55:44,052 Epoch[3] Batch [47850] Speed: 10.78 samples/sec Train-Accuracy=0.730000
2016-09-24 18:56:21,154 Epoch[3] Batch [47900] Speed: 10.78 samples/sec Train-Accuracy=0.758571
2016-09-24 18:56:58,317 Epoch[3] Batch [47950] Speed: 10.76 samples/sec Train-Accuracy=0.745714
2016-09-24 18:57:35,476 Epoch[3] Batch [48000] Speed: 10.76 samples/sec Train-Accuracy=0.774286
2016-09-24 18:58:12,846 Epoch[3] Batch [48050] Speed: 10.70 samples/sec Train-Accuracy=0.758571
2016-09-24 18:58:53,224 Epoch[3] Batch [48100] Speed: 9.91 samples/sec Train-Accuracy=0.737143
2016-09-24 18:59:30,856 Epoch[3] Batch [48150] Speed: 10.63 samples/sec Train-Accuracy=0.762857
2016-09-24 19:00:07,654 Epoch[3] Batch [48200] Speed: 10.87 samples/sec Train-Accuracy=0.761429
2016-09-24 19:00:44,004 Epoch[3] Batch [48250] Speed: 11.00 samples/sec Train-Accuracy=0.762857
2016-09-24 19:01:20,082 Epoch[3] Batch [48300] Speed: 11.09 samples/sec Train-Accuracy=0.745714
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2016-09-24 19:02:32,280 Epoch[3] Batch [48400] Speed: 11.09 samples/sec Train-Accuracy=0.740000
2016-09-24 19:03:08,452 Epoch[3] Batch [48450] Speed: 11.06 samples/sec Train-Accuracy=0.767143
2016-09-24 19:03:44,472 Epoch[3] Batch [48500] Speed: 11.11 samples/sec Train-Accuracy=0.741429
2016-09-24 19:04:20,428 Epoch[3] Batch [48550] Speed: 11.12 samples/sec Train-Accuracy=0.747143
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2016-09-24 19:05:36,117 Epoch[3] Batch [48650] Speed: 10.20 samples/sec Train-Accuracy=0.734286
2016-09-24 19:06:12,811 Epoch[3] Batch [48700] Speed: 10.90 samples/sec Train-Accuracy=0.781429
2016-09-24 19:06:50,214 Epoch[3] Batch [48750] Speed: 10.69 samples/sec Train-Accuracy=0.764286
2016-09-24 19:07:27,759 Epoch[3] Batch [48800] Speed: 10.65 samples/sec Train-Accuracy=0.750000
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2016-09-24 19:08:42,845 Epoch[3] Batch [48900] Speed: 10.65 samples/sec Train-Accuracy=0.764286
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2016-09-24 19:09:57,130 Epoch[3] Batch [49000] Speed: 10.91 samples/sec Train-Accuracy=0.765714
2016-09-24 19:10:33,106 Epoch[3] Batch [49050] Speed: 11.12 samples/sec Train-Accuracy=0.784286
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2016-09-24 19:11:45,154 Epoch[3] Batch [49150] Speed: 11.08 samples/sec Train-Accuracy=0.775714
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2016-09-24 19:12:59,277 Epoch[3] Batch [49250] Speed: 10.76 samples/sec Train-Accuracy=0.748571
2016-09-24 19:13:35,737 Epoch[3] Batch [49300] Speed: 10.97 samples/sec Train-Accuracy=0.761429
2016-09-24 19:14:12,339 Epoch[3] Batch [49350] Speed: 10.93 samples/sec Train-Accuracy=0.757143
2016-09-24 19:14:48,499 Epoch[3] Batch [49400] Speed: 11.06 samples/sec Train-Accuracy=0.770000
2016-09-24 19:15:24,580 Epoch[3] Batch [49450] Speed: 11.09 samples/sec Train-Accuracy=0.737143
2016-09-24 19:16:00,698 Epoch[3] Batch [49500] Speed: 11.08 samples/sec Train-Accuracy=0.755714
2016-09-24 19:16:36,962 Epoch[3] Batch [49550] Speed: 11.03 samples/sec Train-Accuracy=0.771429
2016-09-24 19:17:13,495 Epoch[3] Batch [49600] Speed: 10.95 samples/sec Train-Accuracy=0.758571
2016-09-24 19:17:51,189 Epoch[3] Batch [49650] Speed: 10.61 samples/sec Train-Accuracy=0.751429
2016-09-24 19:18:28,561 Epoch[3] Batch [49700] Speed: 10.70 samples/sec Train-Accuracy=0.790000
2016-09-24 19:19:05,850 Epoch[3] Batch [49750] Speed: 10.73 samples/sec Train-Accuracy=0.777143
2016-09-24 19:19:42,460 Epoch[3] Batch [49800] Speed: 10.93 samples/sec Train-Accuracy=0.790000
2016-09-24 19:20:19,257 Epoch[3] Batch [49850] Speed: 10.87 samples/sec Train-Accuracy=0.784286
2016-09-24 19:20:58,081 Epoch[3] Batch [49900] Speed: 10.30 samples/sec Train-Accuracy=0.760000
2016-09-24 19:21:36,094 Epoch[3] Batch [49950] Speed: 10.52 samples/sec Train-Accuracy=0.747143
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2016-09-24 19:22:51,695 Epoch[3] Batch [50050] Speed: 10.62 samples/sec Train-Accuracy=0.764286
2016-09-24 19:23:28,765 Epoch[3] Batch [50100] Speed: 10.79 samples/sec Train-Accuracy=0.794286
2016-09-24 19:24:06,337 Epoch[3] Batch [50150] Speed: 10.65 samples/sec Train-Accuracy=0.771429
2016-09-24 19:24:44,307 Epoch[3] Batch [50200] Speed: 10.53 samples/sec Train-Accuracy=0.768571
2016-09-24 19:25:21,863 Epoch[3] Batch [50250] Speed: 10.65 samples/sec Train-Accuracy=0.761429
2016-09-24 19:25:58,218 Epoch[3] Batch [50300] Speed: 11.00 samples/sec Train-Accuracy=0.784286
2016-09-24 19:26:34,407 Epoch[3] Batch [50350] Speed: 11.05 samples/sec Train-Accuracy=0.772857
2016-09-24 19:27:10,704 Epoch[3] Batch [50400] Speed: 11.02 samples/sec Train-Accuracy=0.747143
2016-09-24 19:27:46,835 Epoch[3] Batch [50450] Speed: 11.07 samples/sec Train-Accuracy=0.774286
2016-09-24 19:28:22,937 Epoch[3] Batch [50500] Speed: 11.08 samples/sec Train-Accuracy=0.748571
2016-09-24 19:28:59,102 Epoch[3] Batch [50550] Speed: 11.06 samples/sec Train-Accuracy=0.764286
2016-09-24 19:29:35,280 Epoch[3] Batch [50600] Speed: 11.06 samples/sec Train-Accuracy=0.715714
2016-09-24 19:30:11,383 Epoch[3] Batch [50650] Speed: 11.08 samples/sec Train-Accuracy=0.790000
2016-09-24 19:30:50,091 Epoch[3] Batch [50700] Speed: 10.33 samples/sec Train-Accuracy=0.764286
2016-09-24 19:31:26,375 Epoch[3] Batch [50750] Speed: 11.02 samples/sec Train-Accuracy=0.754286
2016-09-24 19:32:02,416 Epoch[3] Batch [50800] Speed: 11.10 samples/sec Train-Accuracy=0.755714
2016-09-24 19:32:38,568 Epoch[3] Batch [50850] Speed: 11.06 samples/sec Train-Accuracy=0.727143
2016-09-24 19:33:14,722 Epoch[3] Batch [50900] Speed: 11.06 samples/sec Train-Accuracy=0.744286
2016-09-24 19:33:50,883 Epoch[3] Batch [50950] Speed: 11.06 samples/sec Train-Accuracy=0.741429
2016-09-24 19:34:26,994 Epoch[3] Batch [51000] Speed: 11.08 samples/sec Train-Accuracy=0.727143
2016-09-24 19:35:03,147 Epoch[3] Batch [51050] Speed: 11.06 samples/sec Train-Accuracy=0.780000
2016-09-24 19:35:39,260 Epoch[3] Batch [51100] Speed: 11.08 samples/sec Train-Accuracy=0.725714
2016-09-24 19:36:15,316 Epoch[3] Batch [51150] Speed: 11.09 samples/sec Train-Accuracy=0.757143
2016-09-24 19:36:51,377 Epoch[3] Batch [51200] Speed: 11.09 samples/sec Train-Accuracy=0.751429
2016-09-24 19:37:27,384 Epoch[3] Batch [51250] Speed: 11.11 samples/sec Train-Accuracy=0.771429
2016-09-24 19:38:03,463 Epoch[3] Batch [51300] Speed: 11.09 samples/sec Train-Accuracy=0.775714
2016-09-24 19:38:39,564 Epoch[3] Batch [51350] Speed: 11.08 samples/sec Train-Accuracy=0.775714
2016-09-24 19:39:18,627 Epoch[3] Batch [51400] Speed: 10.24 samples/sec Train-Accuracy=0.778571
2016-09-24 19:39:56,943 Epoch[3] Batch [51450] Speed: 10.44 samples/sec Train-Accuracy=0.761429
2016-09-24 19:40:33,076 Epoch[3] Batch [51500] Speed: 11.07 samples/sec Train-Accuracy=0.781429
2016-09-24 19:41:09,254 Epoch[3] Batch [51550] Speed: 11.06 samples/sec Train-Accuracy=0.780000
2016-09-24 19:41:45,366 Epoch[3] Batch [51600] Speed: 11.08 samples/sec Train-Accuracy=0.788571
2016-09-24 19:42:21,421 Epoch[3] Batch [51650] Speed: 11.09 samples/sec Train-Accuracy=0.785714
2016-09-24 19:42:57,557 Epoch[3] Batch [51700] Speed: 11.07 samples/sec Train-Accuracy=0.795714
2016-09-24 19:43:33,856 Epoch[3] Batch [51750] Speed: 11.02 samples/sec Train-Accuracy=0.755714
2016-09-24 19:44:10,084 Epoch[3] Batch [51800] Speed: 11.04 samples/sec Train-Accuracy=0.775714
2016-09-24 19:44:46,382 Epoch[3] Batch [51850] Speed: 11.02 samples/sec Train-Accuracy=0.741429
2016-09-24 19:45:22,608 Epoch[3] Batch [51900] Speed: 11.04 samples/sec Train-Accuracy=0.761429
2016-09-24 19:45:58,776 Epoch[3] Batch [51950] Speed: 11.06 samples/sec Train-Accuracy=0.760000
2016-09-24 19:46:38,027 Epoch[3] Batch [52000] Speed: 10.19 samples/sec Train-Accuracy=0.782857
2016-09-24 19:47:16,981 Epoch[3] Batch [52050] Speed: 10.27 samples/sec Train-Accuracy=0.770000
2016-09-24 19:47:54,813 Epoch[3] Batch [52100] Speed: 10.57 samples/sec Train-Accuracy=0.737143
2016-09-24 19:48:32,975 Epoch[3] Batch [52150] Speed: 10.48 samples/sec Train-Accuracy=0.775714
2016-09-24 19:49:12,034 Epoch[3] Batch [52200] Speed: 10.24 samples/sec Train-Accuracy=0.785714
2016-09-24 19:49:50,460 Epoch[3] Batch [52250] Speed: 10.41 samples/sec Train-Accuracy=0.765714
2016-09-24 19:50:29,420 Epoch[3] Batch [52300] Speed: 10.27 samples/sec Train-Accuracy=0.771429
2016-09-24 19:51:08,346 Epoch[3] Batch [52350] Speed: 10.28 samples/sec Train-Accuracy=0.781429
2016-09-24 19:51:45,508 Epoch[3] Batch [52400] Speed: 10.76 samples/sec Train-Accuracy=0.751429
2016-09-24 19:52:22,417 Epoch[3] Batch [52450] Speed: 10.84 samples/sec Train-Accuracy=0.741429
2016-09-24 19:53:00,036 Epoch[3] Batch [52500] Speed: 10.63 samples/sec Train-Accuracy=0.742857
2016-09-24 19:53:36,387 Epoch[3] Batch [52550] Speed: 11.00 samples/sec Train-Accuracy=0.778571
2016-09-24 19:54:12,636 Epoch[3] Batch [52600] Speed: 11.03 samples/sec Train-Accuracy=0.770000
2016-09-24 19:54:48,821 Epoch[3] Batch [52650] Speed: 11.05 samples/sec Train-Accuracy=0.757143
2016-09-24 19:55:24,913 Epoch[3] Batch [52700] Speed: 11.08 samples/sec Train-Accuracy=0.741429
2016-09-24 19:56:01,677 Epoch[3] Batch [52750] Speed: 10.88 samples/sec Train-Accuracy=0.765714
2016-09-24 19:56:41,208 Epoch[3] Batch [52800] Speed: 10.12 samples/sec Train-Accuracy=0.764286
2016-09-24 19:57:17,525 Epoch[3] Batch [52850] Speed: 11.01 samples/sec Train-Accuracy=0.775714
2016-09-24 19:57:54,449 Epoch[3] Batch [52900] Speed: 10.83 samples/sec Train-Accuracy=0.762857
2016-09-24 19:58:33,410 Epoch[3] Batch [52950] Speed: 10.27 samples/sec Train-Accuracy=0.787143
2016-09-24 19:59:10,020 Epoch[3] Batch [53000] Speed: 10.93 samples/sec Train-Accuracy=0.782857
2016-09-24 19:59:46,531 Epoch[3] Batch [53050] Speed: 10.96 samples/sec Train-Accuracy=0.731429
2016-09-24 20:00:23,197 Epoch[3] Batch [53100] Speed: 10.91 samples/sec Train-Accuracy=0.791429
2016-09-24 20:00:59,623 Epoch[3] Batch [53150] Speed: 10.98 samples/sec Train-Accuracy=0.804286
2016-09-24 20:01:36,248 Epoch[3] Batch [53200] Speed: 10.92 samples/sec Train-Accuracy=0.792857
2016-09-24 20:02:12,802 Epoch[3] Batch [53250] Speed: 10.94 samples/sec Train-Accuracy=0.770000
2016-09-24 20:02:50,349 Epoch[3] Batch [53300] Speed: 10.65 samples/sec Train-Accuracy=0.750000
2016-09-24 20:03:26,729 Epoch[3] Batch [53350] Speed: 11.00 samples/sec Train-Accuracy=0.757143
2016-09-24 20:04:03,571 Epoch[3] Batch [53400] Speed: 10.86 samples/sec Train-Accuracy=0.758571
2016-09-24 20:04:40,347 Epoch[3] Batch [53450] Speed: 10.88 samples/sec Train-Accuracy=0.762857
2016-09-24 20:05:17,378 Epoch[3] Batch [53500] Speed: 10.80 samples/sec Train-Accuracy=0.714286
2016-09-24 20:05:54,704 Epoch[3] Batch [53550] Speed: 10.72 samples/sec Train-Accuracy=0.742857
2016-09-24 20:06:31,880 Epoch[3] Batch [53600] Speed: 10.76 samples/sec Train-Accuracy=0.735714
2016-09-24 20:07:09,189 Epoch[3] Batch [53650] Speed: 10.72 samples/sec Train-Accuracy=0.740000
2016-09-24 20:07:46,551 Epoch[3] Batch [53700] Speed: 10.71 samples/sec Train-Accuracy=0.750000
2016-09-24 20:08:23,491 Epoch[3] Batch [53750] Speed: 10.83 samples/sec Train-Accuracy=0.747143
2016-09-24 20:08:59,596 Epoch[3] Batch [53800] Speed: 11.08 samples/sec Train-Accuracy=0.771429
2016-09-24 20:09:35,752 Epoch[3] Batch [53850] Speed: 11.06 samples/sec Train-Accuracy=0.758571
2016-09-24 20:10:11,956 Epoch[3] Batch [53900] Speed: 11.05 samples/sec Train-Accuracy=0.794286
2016-09-24 20:10:48,490 Epoch[3] Batch [53950] Speed: 10.95 samples/sec Train-Accuracy=0.730000
2016-09-24 20:11:25,716 Epoch[3] Batch [54000] Speed: 10.75 samples/sec Train-Accuracy=0.717143
2016-09-24 20:12:02,428 Epoch[3] Batch [54050] Speed: 10.90 samples/sec Train-Accuracy=0.765714
2016-09-24 20:12:39,337 Epoch[3] Batch [54100] Speed: 10.84 samples/sec Train-Accuracy=0.765714
2016-09-24 20:13:16,671 Epoch[3] Batch [54150] Speed: 10.71 samples/sec Train-Accuracy=0.774286
2016-09-24 20:13:54,291 Epoch[3] Batch [54200] Speed: 10.63 samples/sec Train-Accuracy=0.798571
2016-09-24 20:14:30,930 Epoch[3] Batch [54250] Speed: 10.92 samples/sec Train-Accuracy=0.760000
2016-09-24 20:15:06,882 Epoch[3] Batch [54300] Speed: 11.13 samples/sec Train-Accuracy=0.778571
2016-09-24 20:15:42,858 Epoch[3] Batch [54350] Speed: 11.12 samples/sec Train-Accuracy=0.734286
2016-09-24 20:16:18,813 Epoch[3] Batch [54400] Speed: 11.13 samples/sec Train-Accuracy=0.785714
2016-09-24 20:16:54,870 Epoch[3] Batch [54450] Speed: 11.09 samples/sec Train-Accuracy=0.782857
2016-09-24 20:17:30,785 Epoch[3] Batch [54500] Speed: 11.14 samples/sec Train-Accuracy=0.797143
2016-09-24 20:18:06,773 Epoch[3] Batch [54550] Speed: 11.12 samples/sec Train-Accuracy=0.752857
2016-09-24 20:18:42,785 Epoch[3] Batch [54600] Speed: 11.11 samples/sec Train-Accuracy=0.757143
2016-09-24 20:19:18,656 Epoch[3] Batch [54650] Speed: 11.15 samples/sec Train-Accuracy=0.767143
2016-09-24 20:19:54,614 Epoch[3] Batch [54700] Speed: 11.12 samples/sec Train-Accuracy=0.765714
2016-09-24 20:20:30,508 Epoch[3] Batch [54750] Speed: 11.14 samples/sec Train-Accuracy=0.762857
2016-09-24 20:21:06,462 Epoch[3] Batch [54800] Speed: 11.13 samples/sec Train-Accuracy=0.767143
2016-09-24 20:21:43,183 Epoch[3] Batch [54850] Speed: 10.89 samples/sec Train-Accuracy=0.752857
2016-09-24 20:22:20,387 Epoch[3] Batch [54900] Speed: 10.75 samples/sec Train-Accuracy=0.768571
2016-09-24 20:22:57,568 Epoch[3] Batch [54950] Speed: 10.76 samples/sec Train-Accuracy=0.740000
2016-09-24 20:23:34,500 Epoch[3] Batch [55000] Speed: 10.83 samples/sec Train-Accuracy=0.774286
2016-09-24 20:24:12,096 Epoch[3] Batch [55050] Speed: 10.64 samples/sec Train-Accuracy=0.758571
2016-09-24 20:24:48,589 Epoch[3] Batch [55100] Speed: 10.96 samples/sec Train-Accuracy=0.730000
2016-09-24 20:25:24,577 Epoch[3] Batch [55150] Speed: 11.11 samples/sec Train-Accuracy=0.775714
2016-09-24 20:26:00,627 Epoch[3] Batch [55200] Speed: 11.10 samples/sec Train-Accuracy=0.762857
2016-09-24 20:26:37,108 Epoch[3] Batch [55250] Speed: 10.96 samples/sec Train-Accuracy=0.748571
2016-09-24 20:27:13,636 Epoch[3] Batch [55300] Speed: 10.95 samples/sec Train-Accuracy=0.738571
2016-09-24 20:27:49,967 Epoch[3] Batch [55350] Speed: 11.01 samples/sec Train-Accuracy=0.782857
2016-09-24 20:28:26,144 Epoch[3] Batch [55400] Speed: 11.06 samples/sec Train-Accuracy=0.751429
2016-09-24 20:29:02,360 Epoch[3] Batch [55450] Speed: 11.04 samples/sec Train-Accuracy=0.765714
2016-09-24 20:29:38,575 Epoch[3] Batch [55500] Speed: 11.05 samples/sec Train-Accuracy=0.768571
2016-09-24 20:30:14,815 Epoch[3] Batch [55550] Speed: 11.04 samples/sec Train-Accuracy=0.750000
2016-09-24 20:30:50,892 Epoch[3] Batch [55600] Speed: 11.09 samples/sec Train-Accuracy=0.764286
2016-09-24 20:31:26,950 Epoch[3] Batch [55650] Speed: 11.09 samples/sec Train-Accuracy=0.762857
2016-09-24 20:32:03,046 Epoch[3] Batch [55700] Speed: 11.08 samples/sec Train-Accuracy=0.788571
2016-09-24 20:32:39,054 Epoch[3] Batch [55750] Speed: 11.11 samples/sec Train-Accuracy=0.744286
2016-09-24 20:33:15,202 Epoch[3] Batch [55800] Speed: 11.07 samples/sec Train-Accuracy=0.747143
2016-09-24 20:33:51,279 Epoch[3] Batch [55850] Speed: 11.09 samples/sec Train-Accuracy=0.772857
2016-09-24 20:34:27,313 Epoch[3] Batch [55900] Speed: 11.10 samples/sec Train-Accuracy=0.748571
2016-09-24 20:35:03,341 Epoch[3] Batch [55950] Speed: 11.10 samples/sec Train-Accuracy=0.735714
2016-09-24 20:35:39,419 Epoch[3] Batch [56000] Speed: 11.09 samples/sec Train-Accuracy=0.757143
2016-09-24 20:36:15,462 Epoch[3] Batch [56050] Speed: 11.10 samples/sec Train-Accuracy=0.775714
2016-09-24 20:36:51,567 Epoch[3] Batch [56100] Speed: 11.08 samples/sec Train-Accuracy=0.784286
2016-09-24 20:37:27,738 Epoch[3] Batch [56150] Speed: 11.06 samples/sec Train-Accuracy=0.777143
2016-09-24 20:38:03,796 Epoch[3] Batch [56200] Speed: 11.09 samples/sec Train-Accuracy=0.738571
2016-09-24 20:38:39,941 Epoch[3] Batch [56250] Speed: 11.07 samples/sec Train-Accuracy=0.750000
2016-09-24 20:39:17,232 Epoch[3] Batch [56300] Speed: 10.73 samples/sec Train-Accuracy=0.765714
2016-09-24 20:39:59,525 Epoch[3] Batch [56350] Speed: 9.46 samples/sec Train-Accuracy=0.781429
2016-09-24 20:40:38,857 Epoch[3] Batch [56400] Speed: 10.17 samples/sec Train-Accuracy=0.770000
2016-09-24 20:41:16,964 Epoch[3] Batch [56450] Speed: 10.50 samples/sec Train-Accuracy=0.762857
2016-09-24 20:41:55,082 Epoch[3] Batch [56500] Speed: 10.49 samples/sec Train-Accuracy=0.804286
2016-09-24 20:42:33,489 Epoch[3] Batch [56550] Speed: 10.42 samples/sec Train-Accuracy=0.747143
2016-09-24 20:43:11,863 Epoch[3] Batch [56600] Speed: 10.42 samples/sec Train-Accuracy=0.795714
2016-09-24 20:43:50,195 Epoch[3] Batch [56650] Speed: 10.44 samples/sec Train-Accuracy=0.757143
2016-09-24 20:44:28,795 Epoch[3] Batch [56700] Speed: 10.36 samples/sec Train-Accuracy=0.772857
2016-09-24 20:45:06,849 Epoch[3] Batch [56750] Speed: 10.51 samples/sec Train-Accuracy=0.760000
2016-09-24 20:45:44,978 Epoch[3] Batch [56800] Speed: 10.49 samples/sec Train-Accuracy=0.724286
2016-09-24 20:46:23,151 Epoch[3] Batch [56850] Speed: 10.48 samples/sec Train-Accuracy=0.761429
2016-09-24 20:47:01,457 Epoch[3] Batch [56900] Speed: 10.44 samples/sec Train-Accuracy=0.758571
2016-09-24 20:47:39,854 Epoch[3] Batch [56950] Speed: 10.42 samples/sec Train-Accuracy=0.750000
2016-09-24 20:48:18,119 Epoch[3] Batch [57000] Speed: 10.45 samples/sec Train-Accuracy=0.710000
2016-09-24 20:48:56,346 Epoch[3] Batch [57050] Speed: 10.46 samples/sec Train-Accuracy=0.801429
2016-09-24 20:49:35,145 Epoch[3] Batch [57100] Speed: 10.31 samples/sec Train-Accuracy=0.768571
2016-09-24 20:50:13,400 Epoch[3] Batch [57150] Speed: 10.46 samples/sec Train-Accuracy=0.762857
2016-09-24 20:50:51,317 Epoch[3] Batch [57200] Speed: 10.55 samples/sec Train-Accuracy=0.784286
2016-09-24 20:51:29,289 Epoch[3] Batch [57250] Speed: 10.53 samples/sec Train-Accuracy=0.764286
2016-09-24 20:52:06,997 Epoch[3] Batch [57300] Speed: 10.61 samples/sec Train-Accuracy=0.798571
2016-09-24 20:52:44,702 Epoch[3] Batch [57350] Speed: 10.61 samples/sec Train-Accuracy=0.734286
2016-09-24 20:53:22,542 Epoch[3] Batch [57400] Speed: 10.57 samples/sec Train-Accuracy=0.782857
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2016-09-24 20:54:37,673 Epoch[3] Batch [57500] Speed: 10.71 samples/sec Train-Accuracy=0.771429
2016-09-24 20:55:15,230 Epoch[3] Batch [57550] Speed: 10.65 samples/sec Train-Accuracy=0.770000
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2016-09-24 20:56:30,762 Epoch[3] Batch [57650] Speed: 10.57 samples/sec Train-Accuracy=0.764286
2016-09-24 20:57:07,810 Epoch[3] Batch [57700] Speed: 10.80 samples/sec Train-Accuracy=0.762857
2016-09-24 20:57:44,021 Epoch[3] Batch [57750] Speed: 11.05 samples/sec Train-Accuracy=0.777143
2016-09-24 20:58:20,246 Epoch[3] Batch [57800] Speed: 11.04 samples/sec Train-Accuracy=0.781429
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2016-09-24 21:00:51,429 Epoch[3] Batch [58000] Speed: 10.65 samples/sec Train-Accuracy=0.791429
2016-09-24 21:01:27,504 Epoch[3] Batch [58050] Speed: 11.09 samples/sec Train-Accuracy=0.770000
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2016-09-24 21:03:24,633 Epoch[3] Batch [58200] Speed: 9.45 samples/sec Train-Accuracy=0.762857
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2016-09-24 21:04:41,702 Epoch[3] Batch [58300] Speed: 11.08 samples/sec Train-Accuracy=0.745714
2016-09-24 21:05:17,772 Epoch[3] Batch [58350] Speed: 11.09 samples/sec Train-Accuracy=0.775714
2016-09-24 21:05:54,035 Epoch[3] Batch [58400] Speed: 11.03 samples/sec Train-Accuracy=0.788571
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2016-09-24 21:07:08,849 Epoch[3] Batch [58500] Speed: 10.66 samples/sec Train-Accuracy=0.770000
2016-09-24 21:07:45,003 Epoch[3] Batch [58550] Speed: 11.06 samples/sec Train-Accuracy=0.765714
2016-09-24 21:08:21,482 Epoch[3] Batch [58600] Speed: 10.97 samples/sec Train-Accuracy=0.777143
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2016-09-24 21:09:33,329 Epoch[3] Batch [58700] Speed: 11.14 samples/sec Train-Accuracy=0.765714
2016-09-24 21:10:09,289 Epoch[3] Batch [58750] Speed: 11.12 samples/sec Train-Accuracy=0.798571
2016-09-24 21:10:45,294 Epoch[3] Batch [58800] Speed: 11.11 samples/sec Train-Accuracy=0.757143
2016-09-24 21:11:21,302 Epoch[3] Batch [58850] Speed: 11.11 samples/sec Train-Accuracy=0.770000
2016-09-24 21:11:57,281 Epoch[3] Batch [58900] Speed: 11.12 samples/sec Train-Accuracy=0.781429
2016-09-24 21:12:33,233 Epoch[3] Batch [58950] Speed: 11.13 samples/sec Train-Accuracy=0.758571
2016-09-24 21:13:09,196 Epoch[3] Batch [59000] Speed: 11.12 samples/sec Train-Accuracy=0.777143
2016-09-24 21:13:45,098 Epoch[3] Batch [59050] Speed: 11.14 samples/sec Train-Accuracy=0.791429
2016-09-24 21:14:21,047 Epoch[3] Batch [59100] Speed: 11.13 samples/sec Train-Accuracy=0.778571
2016-09-24 21:15:01,564 Epoch[3] Batch [59150] Speed: 9.87 samples/sec Train-Accuracy=0.780000
2016-09-24 21:15:43,776 Epoch[3] Batch [59200] Speed: 9.48 samples/sec Train-Accuracy=0.797143
2016-09-24 21:16:23,285 Epoch[3] Batch [59250] Speed: 10.12 samples/sec Train-Accuracy=0.720000
2016-09-24 21:16:59,297 Epoch[3] Batch [59300] Speed: 11.11 samples/sec Train-Accuracy=0.792857
2016-09-24 21:17:35,295 Epoch[3] Batch [59350] Speed: 11.11 samples/sec Train-Accuracy=0.755714
2016-09-24 21:18:17,218 Epoch[3] Batch [59400] Speed: 9.54 samples/sec Train-Accuracy=0.757143
2016-09-24 21:18:53,468 Epoch[3] Batch [59450] Speed: 11.03 samples/sec Train-Accuracy=0.741429
2016-09-24 21:19:29,504 Epoch[3] Batch [59500] Speed: 11.10 samples/sec Train-Accuracy=